From 10077f014c3d66cf019d3f34779046f00e5afa62 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 12 Mar 2025 16:06:17 -0700 Subject: [PATCH 001/337] Add examples and documentation for using custom model providers --- docs/models.md | 25 +++---- examples/model_providers/README.md | 19 +++++ .../model_providers/custom_example_agent.py | 46 ++++++++++++ .../model_providers/custom_example_global.py | 55 ++++++++++++++ .../custom_example_provider.py | 71 +++++++++++++++++++ src/agents/__init__.py | 14 ++-- src/agents/_config.py | 9 ++- src/agents/models/openai_provider.py | 35 ++++++--- 8 files changed, 240 insertions(+), 34 deletions(-) create mode 100644 examples/model_providers/README.md create mode 100644 examples/model_providers/custom_example_agent.py create mode 100644 examples/model_providers/custom_example_global.py create mode 100644 examples/model_providers/custom_example_provider.py diff --git a/docs/models.md b/docs/models.md index 7ad515bc0..a4801fee4 100644 --- a/docs/models.md +++ b/docs/models.md @@ -53,21 +53,14 @@ async def main(): ## Using other LLM providers -Many providers also support the OpenAI API format, which means you can pass a `base_url` to the existing OpenAI model implementations and use them easily. `ModelSettings` is used to configure tuning parameters (e.g., temperature, top_p) for the model you select. +You can use other LLM providers in 3 ways (examples [here](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/)): -```python -external_client = AsyncOpenAI( - api_key="EXTERNAL_API_KEY", - base_url="https://api.external.com/v1/", -) +1. [`set_default_openai_client`][agents.set_default_openai_client] is useful in cases where you want to globally use an instance of `AsyncOpenAI` as the LLM client. This is for cases where the LLM provider has an OpenAI compatible API endpoint, and you can set the `base_url` and `api_key`. See a configurable example in [examples/model_providers/custom_example_global.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_global.py). +2. [`ModelProvider`][agents.models.interface.ModelProvider] is at the `Runner.run` level. This lets you say "use a custom model provider for all agents in this run". See a configurable example in [examples/model_providers/custom_example_provider.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_provider.py). +3. [`Agent.model`][agents.agent.Agent.model] lets you specify the model on a specific Agent instance. This enables you to mix and match different providers for different agents. See a configurable example in [examples/model_providers/custom_example_agent.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_agent.py). -spanish_agent = Agent( - name="Spanish agent", - instructions="You only speak Spanish.", - model=OpenAIChatCompletionsModel( - model="EXTERNAL_MODEL_NAME", - openai_client=external_client, - ), - model_settings=ModelSettings(temperature=0.5), -) -``` +In cases where you do not have an API key from `platform.openai.com`, we recommend disabling tracing via `set_tracing_disabled()`, or setting up a [different tracing processor](tracing.md). + +!!! note + + In these examples, we use the Chat Completions API/model, because most LLM providers don't yet support the Responses API. If your LLM provider does support it, we recommend using Responses. diff --git a/examples/model_providers/README.md b/examples/model_providers/README.md new file mode 100644 index 000000000..f9330c24a --- /dev/null +++ b/examples/model_providers/README.md @@ -0,0 +1,19 @@ +# Custom LLM providers + +The examples in this directory demonstrate how you might use a non-OpenAI LLM provider. To run them, first set a base URL, API key and model. + +```bash +export EXAMPLE_BASE_URL="..." +export EXAMPLE_API_KEY="..." +export EXAMPLE_MODEL_NAME"..." +``` + +Then run the examples, e.g.: + +``` +python examples/model_providers/custom_example_provider.py + +Loops within themselves, +Function calls its own being, +Depth without ending. +``` diff --git a/examples/model_providers/custom_example_agent.py b/examples/model_providers/custom_example_agent.py new file mode 100644 index 000000000..bfc6ada2e --- /dev/null +++ b/examples/model_providers/custom_example_agent.py @@ -0,0 +1,46 @@ +import asyncio +import os + +from openai import AsyncOpenAI + +from agents import Agent, OpenAIChatCompletionsModel, Runner, set_tracing_disabled + +BASE_URL = os.getenv("EXAMPLE_BASE_URL") or "" +API_KEY = os.getenv("EXAMPLE_API_KEY") or "" +MODEL_NAME = os.getenv("EXAMPLE_MODEL_NAME") or "" + +if not BASE_URL or not API_KEY or not MODEL_NAME: + raise ValueError( + "Please set EXAMPLE_BASE_URL, EXAMPLE_API_KEY, EXAMPLE_MODEL_NAME via env var or code." + ) + +"""This example uses a custom provider for a specific agent. Steps: +1. Create a custom OpenAI client. +2. Create a `Model` that uses the custom client. +3. Set the `model` on the Agent. + +Note that in this example, we disable tracing under the assumption that you don't have an API key +from platform.openai.com. If you do have one, you can either set the `OPENAI_API_KEY` env var +or call set_tracing_export_api_key() to set a tracing specific key. +""" +client = AsyncOpenAI(base_url=BASE_URL, api_key=API_KEY) +set_tracing_disabled(disabled=True) + + +async def main(): + # This agent will use the custom LLM provider + agent = Agent( + name="Assistant", + instructions="You only respond in haikus.", + model=OpenAIChatCompletionsModel(model=MODEL_NAME, openai_client=client), + ) + + result = await Runner.run( + agent, + "Tell me about recursion in programming.", + ) + print(result.final_output) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/examples/model_providers/custom_example_global.py b/examples/model_providers/custom_example_global.py new file mode 100644 index 000000000..d7c293b1d --- /dev/null +++ b/examples/model_providers/custom_example_global.py @@ -0,0 +1,55 @@ +import asyncio +import os + +from openai import AsyncOpenAI + +from agents import ( + Agent, + Runner, + set_default_openai_api, + set_default_openai_client, + set_tracing_disabled, +) + +BASE_URL = os.getenv("EXAMPLE_BASE_URL") or "" +API_KEY = os.getenv("EXAMPLE_API_KEY") or "" +MODEL_NAME = os.getenv("EXAMPLE_MODEL_NAME") or "" + +if not BASE_URL or not API_KEY or not MODEL_NAME: + raise ValueError( + "Please set EXAMPLE_BASE_URL, EXAMPLE_API_KEY, EXAMPLE_MODEL_NAME via env var or code." + ) + + +"""This example uses a custom provider for all requests by default. We do three things: +1. Create a custom client. +2. Set it as the default OpenAI client, and don't use it for tracing. +3. Set the default API as Chat Completions, as most LLM providers don't yet support Responses API. + +Note that in this example, we disable tracing under the assumption that you don't have an API key +from platform.openai.com. If you do have one, you can either set the `OPENAI_API_KEY` env var +or call set_tracing_export_api_key() to set a tracing specific key. +""" + +client = AsyncOpenAI( + base_url=BASE_URL, + api_key=API_KEY, +) +set_default_openai_client(client=client, use_for_tracing=False) +set_default_openai_api("chat_completions") +set_tracing_disabled(disabled=True) + + +async def main(): + agent = Agent( + name="Assistant", + instructions="You only respond in haikus.", + model=MODEL_NAME, + ) + + result = await Runner.run(agent, "Tell me about recursion in programming.") + print(result.final_output) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/examples/model_providers/custom_example_provider.py b/examples/model_providers/custom_example_provider.py new file mode 100644 index 000000000..ec8653ad4 --- /dev/null +++ b/examples/model_providers/custom_example_provider.py @@ -0,0 +1,71 @@ +import asyncio +import os + +from openai import AsyncOpenAI + +from agents import ( + Agent, + Model, + ModelProvider, + OpenAIChatCompletionsModel, + RunConfig, + Runner, + set_tracing_disabled, +) + +BASE_URL = os.getenv("EXAMPLE_BASE_URL") or "" +API_KEY = os.getenv("EXAMPLE_API_KEY") or "" +MODEL_NAME = os.getenv("EXAMPLE_MODEL_NAME") or "" + +if not BASE_URL or not API_KEY or not MODEL_NAME: + raise ValueError( + "Please set EXAMPLE_BASE_URL, EXAMPLE_API_KEY, EXAMPLE_MODEL_NAME via env var or code." + ) + + +"""This example uses a custom provider for some calls to Runner.run(), and direct calls to OpenAI for +others. Steps: +1. Create a custom OpenAI client. +2. Create a ModelProvider that uses the custom client. +3. Use the ModelProvider in calls to Runner.run(), only when we want to use the custom LLM provider. + +Note that in this example, we disable tracing under the assumption that you don't have an API key +from platform.openai.com. If you do have one, you can either set the `OPENAI_API_KEY` env var +or call set_tracing_export_api_key() to set a tracing specific key. +""" +client = AsyncOpenAI(base_url=BASE_URL, api_key=API_KEY) +set_tracing_disabled(disabled=True) + + +class CustomModelProvider(ModelProvider): + def get_model(self, model_name: str | None) -> Model: + return OpenAIChatCompletionsModel(model=model_name or MODEL_NAME, openai_client=client) + + +CUSTOM_MODEL_PROVIDER = CustomModelProvider() + + +async def main(): + agent = Agent( + name="Assistant", + instructions="You only respond in haikus.", + ) + + # This will use the custom model provider + result = await Runner.run( + agent, + "Tell me about recursion in programming.", + run_config=RunConfig(model_provider=CUSTOM_MODEL_PROVIDER), + ) + print(result.final_output) + + # If you uncomment this, it will use OpenAI directly, not the custom provider + # result = await Runner.run( + # agent, + # "Tell me about recursion in programming.", + # ) + # print(result.final_output) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/src/agents/__init__.py b/src/agents/__init__.py index 69c500ab7..79940fe0e 100644 --- a/src/agents/__init__.py +++ b/src/agents/__init__.py @@ -92,13 +92,19 @@ from .usage import Usage -def set_default_openai_key(key: str) -> None: - """Set the default OpenAI API key to use for LLM requests and tracing. This is only necessary if - the OPENAI_API_KEY environment variable is not already set. +def set_default_openai_key(key: str, use_for_tracing: bool = True) -> None: + """Set the default OpenAI API key to use for LLM requests (and optionally tracing(). This is + only necessary if the OPENAI_API_KEY environment variable is not already set. If provided, this key will be used instead of the OPENAI_API_KEY environment variable. + + Args: + key: The OpenAI key to use. + use_for_tracing: Whether to also use this key to send traces to OpenAI. Defaults to True + If False, you'll either need to set the OPENAI_API_KEY environment variable or call + set_tracing_export_api_key() with the API key you want to use for tracing. """ - _config.set_default_openai_key(key) + _config.set_default_openai_key(key, use_for_tracing) def set_default_openai_client(client: AsyncOpenAI, use_for_tracing: bool = True) -> None: diff --git a/src/agents/_config.py b/src/agents/_config.py index 55ded64d2..304cfb83c 100644 --- a/src/agents/_config.py +++ b/src/agents/_config.py @@ -5,15 +5,18 @@ from .tracing import set_tracing_export_api_key -def set_default_openai_key(key: str) -> None: - set_tracing_export_api_key(key) +def set_default_openai_key(key: str, use_for_tracing: bool) -> None: _openai_shared.set_default_openai_key(key) + if use_for_tracing: + set_tracing_export_api_key(key) + def set_default_openai_client(client: AsyncOpenAI, use_for_tracing: bool) -> None: + _openai_shared.set_default_openai_client(client) + if use_for_tracing: set_tracing_export_api_key(client.api_key) - _openai_shared.set_default_openai_client(client) def set_default_openai_api(api: Literal["chat_completions", "responses"]) -> None: diff --git a/src/agents/models/openai_provider.py b/src/agents/models/openai_provider.py index 519466380..e6a859fb2 100644 --- a/src/agents/models/openai_provider.py +++ b/src/agents/models/openai_provider.py @@ -38,28 +38,41 @@ def __init__( assert api_key is None and base_url is None, ( "Don't provide api_key or base_url if you provide openai_client" ) - self._client = openai_client + self._client: AsyncOpenAI | None = openai_client else: - self._client = _openai_shared.get_default_openai_client() or AsyncOpenAI( - api_key=api_key or _openai_shared.get_default_openai_key(), - base_url=base_url, - organization=organization, - project=project, - http_client=shared_http_client(), - ) + self._client = None + self._stored_api_key = api_key + self._stored_base_url = base_url + self._stored_organization = organization + self._stored_project = project - self._is_openai_model = self._client.base_url.host.startswith("api.openai.com") if use_responses is not None: self._use_responses = use_responses else: self._use_responses = _openai_shared.get_use_responses_by_default() + # We lazy load the client in case you never actually use OpenAIProvider(). Otherwise + # AsyncOpenAI() raises an error if you don't have an API key set. + def _get_client(self) -> AsyncOpenAI: + if self._client is None: + self._client = _openai_shared.get_default_openai_client() or AsyncOpenAI( + api_key=self._stored_api_key or _openai_shared.get_default_openai_key(), + base_url=self._stored_base_url, + organization=self._stored_organization, + project=self._stored_project, + http_client=shared_http_client(), + ) + + return self._client + def get_model(self, model_name: str | None) -> Model: if model_name is None: model_name = DEFAULT_MODEL + client = self._get_client() + return ( - OpenAIResponsesModel(model=model_name, openai_client=self._client) + OpenAIResponsesModel(model=model_name, openai_client=client) if self._use_responses - else OpenAIChatCompletionsModel(model=model_name, openai_client=self._client) + else OpenAIChatCompletionsModel(model=model_name, openai_client=client) ) From a42f9890095f02d9bdc1e34fc74781df3ce0854e Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 12 Mar 2025 16:06:17 -0700 Subject: [PATCH 002/337] Add examples and documentation for using custom model providers --- docs/models.md | 25 +++---- examples/model_providers/README.md | 19 +++++ .../model_providers/custom_example_agent.py | 46 ++++++++++++ .../model_providers/custom_example_global.py | 55 ++++++++++++++ .../custom_example_provider.py | 73 +++++++++++++++++++ src/agents/__init__.py | 14 +++- src/agents/_config.py | 9 ++- src/agents/models/openai_provider.py | 35 ++++++--- 8 files changed, 242 insertions(+), 34 deletions(-) create mode 100644 examples/model_providers/README.md create mode 100644 examples/model_providers/custom_example_agent.py create mode 100644 examples/model_providers/custom_example_global.py create mode 100644 examples/model_providers/custom_example_provider.py diff --git a/docs/models.md b/docs/models.md index 7ad515bc0..a4801fee4 100644 --- a/docs/models.md +++ b/docs/models.md @@ -53,21 +53,14 @@ async def main(): ## Using other LLM providers -Many providers also support the OpenAI API format, which means you can pass a `base_url` to the existing OpenAI model implementations and use them easily. `ModelSettings` is used to configure tuning parameters (e.g., temperature, top_p) for the model you select. +You can use other LLM providers in 3 ways (examples [here](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/)): -```python -external_client = AsyncOpenAI( - api_key="EXTERNAL_API_KEY", - base_url="https://api.external.com/v1/", -) +1. [`set_default_openai_client`][agents.set_default_openai_client] is useful in cases where you want to globally use an instance of `AsyncOpenAI` as the LLM client. This is for cases where the LLM provider has an OpenAI compatible API endpoint, and you can set the `base_url` and `api_key`. See a configurable example in [examples/model_providers/custom_example_global.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_global.py). +2. [`ModelProvider`][agents.models.interface.ModelProvider] is at the `Runner.run` level. This lets you say "use a custom model provider for all agents in this run". See a configurable example in [examples/model_providers/custom_example_provider.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_provider.py). +3. [`Agent.model`][agents.agent.Agent.model] lets you specify the model on a specific Agent instance. This enables you to mix and match different providers for different agents. See a configurable example in [examples/model_providers/custom_example_agent.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_agent.py). -spanish_agent = Agent( - name="Spanish agent", - instructions="You only speak Spanish.", - model=OpenAIChatCompletionsModel( - model="EXTERNAL_MODEL_NAME", - openai_client=external_client, - ), - model_settings=ModelSettings(temperature=0.5), -) -``` +In cases where you do not have an API key from `platform.openai.com`, we recommend disabling tracing via `set_tracing_disabled()`, or setting up a [different tracing processor](tracing.md). + +!!! note + + In these examples, we use the Chat Completions API/model, because most LLM providers don't yet support the Responses API. If your LLM provider does support it, we recommend using Responses. diff --git a/examples/model_providers/README.md b/examples/model_providers/README.md new file mode 100644 index 000000000..f9330c24a --- /dev/null +++ b/examples/model_providers/README.md @@ -0,0 +1,19 @@ +# Custom LLM providers + +The examples in this directory demonstrate how you might use a non-OpenAI LLM provider. To run them, first set a base URL, API key and model. + +```bash +export EXAMPLE_BASE_URL="..." +export EXAMPLE_API_KEY="..." +export EXAMPLE_MODEL_NAME"..." +``` + +Then run the examples, e.g.: + +``` +python examples/model_providers/custom_example_provider.py + +Loops within themselves, +Function calls its own being, +Depth without ending. +``` diff --git a/examples/model_providers/custom_example_agent.py b/examples/model_providers/custom_example_agent.py new file mode 100644 index 000000000..bfc6ada2e --- /dev/null +++ b/examples/model_providers/custom_example_agent.py @@ -0,0 +1,46 @@ +import asyncio +import os + +from openai import AsyncOpenAI + +from agents import Agent, OpenAIChatCompletionsModel, Runner, set_tracing_disabled + +BASE_URL = os.getenv("EXAMPLE_BASE_URL") or "" +API_KEY = os.getenv("EXAMPLE_API_KEY") or "" +MODEL_NAME = os.getenv("EXAMPLE_MODEL_NAME") or "" + +if not BASE_URL or not API_KEY or not MODEL_NAME: + raise ValueError( + "Please set EXAMPLE_BASE_URL, EXAMPLE_API_KEY, EXAMPLE_MODEL_NAME via env var or code." + ) + +"""This example uses a custom provider for a specific agent. Steps: +1. Create a custom OpenAI client. +2. Create a `Model` that uses the custom client. +3. Set the `model` on the Agent. + +Note that in this example, we disable tracing under the assumption that you don't have an API key +from platform.openai.com. If you do have one, you can either set the `OPENAI_API_KEY` env var +or call set_tracing_export_api_key() to set a tracing specific key. +""" +client = AsyncOpenAI(base_url=BASE_URL, api_key=API_KEY) +set_tracing_disabled(disabled=True) + + +async def main(): + # This agent will use the custom LLM provider + agent = Agent( + name="Assistant", + instructions="You only respond in haikus.", + model=OpenAIChatCompletionsModel(model=MODEL_NAME, openai_client=client), + ) + + result = await Runner.run( + agent, + "Tell me about recursion in programming.", + ) + print(result.final_output) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/examples/model_providers/custom_example_global.py b/examples/model_providers/custom_example_global.py new file mode 100644 index 000000000..d7c293b1d --- /dev/null +++ b/examples/model_providers/custom_example_global.py @@ -0,0 +1,55 @@ +import asyncio +import os + +from openai import AsyncOpenAI + +from agents import ( + Agent, + Runner, + set_default_openai_api, + set_default_openai_client, + set_tracing_disabled, +) + +BASE_URL = os.getenv("EXAMPLE_BASE_URL") or "" +API_KEY = os.getenv("EXAMPLE_API_KEY") or "" +MODEL_NAME = os.getenv("EXAMPLE_MODEL_NAME") or "" + +if not BASE_URL or not API_KEY or not MODEL_NAME: + raise ValueError( + "Please set EXAMPLE_BASE_URL, EXAMPLE_API_KEY, EXAMPLE_MODEL_NAME via env var or code." + ) + + +"""This example uses a custom provider for all requests by default. We do three things: +1. Create a custom client. +2. Set it as the default OpenAI client, and don't use it for tracing. +3. Set the default API as Chat Completions, as most LLM providers don't yet support Responses API. + +Note that in this example, we disable tracing under the assumption that you don't have an API key +from platform.openai.com. If you do have one, you can either set the `OPENAI_API_KEY` env var +or call set_tracing_export_api_key() to set a tracing specific key. +""" + +client = AsyncOpenAI( + base_url=BASE_URL, + api_key=API_KEY, +) +set_default_openai_client(client=client, use_for_tracing=False) +set_default_openai_api("chat_completions") +set_tracing_disabled(disabled=True) + + +async def main(): + agent = Agent( + name="Assistant", + instructions="You only respond in haikus.", + model=MODEL_NAME, + ) + + result = await Runner.run(agent, "Tell me about recursion in programming.") + print(result.final_output) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/examples/model_providers/custom_example_provider.py b/examples/model_providers/custom_example_provider.py new file mode 100644 index 000000000..6e8af42ef --- /dev/null +++ b/examples/model_providers/custom_example_provider.py @@ -0,0 +1,73 @@ +from __future__ import annotations + +import asyncio +import os + +from openai import AsyncOpenAI + +from agents import ( + Agent, + Model, + ModelProvider, + OpenAIChatCompletionsModel, + RunConfig, + Runner, + set_tracing_disabled, +) + +BASE_URL = os.getenv("EXAMPLE_BASE_URL") or "" +API_KEY = os.getenv("EXAMPLE_API_KEY") or "" +MODEL_NAME = os.getenv("EXAMPLE_MODEL_NAME") or "" + +if not BASE_URL or not API_KEY or not MODEL_NAME: + raise ValueError( + "Please set EXAMPLE_BASE_URL, EXAMPLE_API_KEY, EXAMPLE_MODEL_NAME via env var or code." + ) + + +"""This example uses a custom provider for some calls to Runner.run(), and direct calls to OpenAI for +others. Steps: +1. Create a custom OpenAI client. +2. Create a ModelProvider that uses the custom client. +3. Use the ModelProvider in calls to Runner.run(), only when we want to use the custom LLM provider. + +Note that in this example, we disable tracing under the assumption that you don't have an API key +from platform.openai.com. If you do have one, you can either set the `OPENAI_API_KEY` env var +or call set_tracing_export_api_key() to set a tracing specific key. +""" +client = AsyncOpenAI(base_url=BASE_URL, api_key=API_KEY) +set_tracing_disabled(disabled=True) + + +class CustomModelProvider(ModelProvider): + def get_model(self, model_name: str | None) -> Model: + return OpenAIChatCompletionsModel(model=model_name or MODEL_NAME, openai_client=client) + + +CUSTOM_MODEL_PROVIDER = CustomModelProvider() + + +async def main(): + agent = Agent( + name="Assistant", + instructions="You only respond in haikus.", + ) + + # This will use the custom model provider + result = await Runner.run( + agent, + "Tell me about recursion in programming.", + run_config=RunConfig(model_provider=CUSTOM_MODEL_PROVIDER), + ) + print(result.final_output) + + # If you uncomment this, it will use OpenAI directly, not the custom provider + # result = await Runner.run( + # agent, + # "Tell me about recursion in programming.", + # ) + # print(result.final_output) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/src/agents/__init__.py b/src/agents/__init__.py index 69c500ab7..79940fe0e 100644 --- a/src/agents/__init__.py +++ b/src/agents/__init__.py @@ -92,13 +92,19 @@ from .usage import Usage -def set_default_openai_key(key: str) -> None: - """Set the default OpenAI API key to use for LLM requests and tracing. This is only necessary if - the OPENAI_API_KEY environment variable is not already set. +def set_default_openai_key(key: str, use_for_tracing: bool = True) -> None: + """Set the default OpenAI API key to use for LLM requests (and optionally tracing(). This is + only necessary if the OPENAI_API_KEY environment variable is not already set. If provided, this key will be used instead of the OPENAI_API_KEY environment variable. + + Args: + key: The OpenAI key to use. + use_for_tracing: Whether to also use this key to send traces to OpenAI. Defaults to True + If False, you'll either need to set the OPENAI_API_KEY environment variable or call + set_tracing_export_api_key() with the API key you want to use for tracing. """ - _config.set_default_openai_key(key) + _config.set_default_openai_key(key, use_for_tracing) def set_default_openai_client(client: AsyncOpenAI, use_for_tracing: bool = True) -> None: diff --git a/src/agents/_config.py b/src/agents/_config.py index 55ded64d2..304cfb83c 100644 --- a/src/agents/_config.py +++ b/src/agents/_config.py @@ -5,15 +5,18 @@ from .tracing import set_tracing_export_api_key -def set_default_openai_key(key: str) -> None: - set_tracing_export_api_key(key) +def set_default_openai_key(key: str, use_for_tracing: bool) -> None: _openai_shared.set_default_openai_key(key) + if use_for_tracing: + set_tracing_export_api_key(key) + def set_default_openai_client(client: AsyncOpenAI, use_for_tracing: bool) -> None: + _openai_shared.set_default_openai_client(client) + if use_for_tracing: set_tracing_export_api_key(client.api_key) - _openai_shared.set_default_openai_client(client) def set_default_openai_api(api: Literal["chat_completions", "responses"]) -> None: diff --git a/src/agents/models/openai_provider.py b/src/agents/models/openai_provider.py index 519466380..e6a859fb2 100644 --- a/src/agents/models/openai_provider.py +++ b/src/agents/models/openai_provider.py @@ -38,28 +38,41 @@ def __init__( assert api_key is None and base_url is None, ( "Don't provide api_key or base_url if you provide openai_client" ) - self._client = openai_client + self._client: AsyncOpenAI | None = openai_client else: - self._client = _openai_shared.get_default_openai_client() or AsyncOpenAI( - api_key=api_key or _openai_shared.get_default_openai_key(), - base_url=base_url, - organization=organization, - project=project, - http_client=shared_http_client(), - ) + self._client = None + self._stored_api_key = api_key + self._stored_base_url = base_url + self._stored_organization = organization + self._stored_project = project - self._is_openai_model = self._client.base_url.host.startswith("api.openai.com") if use_responses is not None: self._use_responses = use_responses else: self._use_responses = _openai_shared.get_use_responses_by_default() + # We lazy load the client in case you never actually use OpenAIProvider(). Otherwise + # AsyncOpenAI() raises an error if you don't have an API key set. + def _get_client(self) -> AsyncOpenAI: + if self._client is None: + self._client = _openai_shared.get_default_openai_client() or AsyncOpenAI( + api_key=self._stored_api_key or _openai_shared.get_default_openai_key(), + base_url=self._stored_base_url, + organization=self._stored_organization, + project=self._stored_project, + http_client=shared_http_client(), + ) + + return self._client + def get_model(self, model_name: str | None) -> Model: if model_name is None: model_name = DEFAULT_MODEL + client = self._get_client() + return ( - OpenAIResponsesModel(model=model_name, openai_client=self._client) + OpenAIResponsesModel(model=model_name, openai_client=client) if self._use_responses - else OpenAIChatCompletionsModel(model=model_name, openai_client=self._client) + else OpenAIChatCompletionsModel(model=model_name, openai_client=client) ) From 21e34f2c49fb8dc3ccef09152b23a174f2696ea6 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 17 Mar 2025 13:02:11 -0400 Subject: [PATCH 003/337] Introduce tool_use_behavior on agents --- src/agents/__init__.py | 6 +- src/agents/_run_impl.py | 96 +++++++++++++++++--- src/agents/agent.py | 39 +++++++- src/agents/items.py | 6 +- src/agents/tool.py | 27 ++++-- src/agents/tracing/span_data.py | 4 +- tests/test_agent_runner.py | 81 +++++++++++++++++ tests/test_function_tool.py | 4 +- tests/test_tool_use_behavior.py | 152 ++++++++++++++++++++++++++++++++ 9 files changed, 389 insertions(+), 26 deletions(-) create mode 100644 tests/test_tool_use_behavior.py diff --git a/src/agents/__init__.py b/src/agents/__init__.py index a2d7f247b..11720bbca 100644 --- a/src/agents/__init__.py +++ b/src/agents/__init__.py @@ -5,7 +5,7 @@ from openai import AsyncOpenAI from . import _config -from .agent import Agent +from .agent import Agent, ToolsToFinalOutputFunction, ToolsToFinalOutputResult from .agent_output import AgentOutputSchema from .computer import AsyncComputer, Button, Computer, Environment from .exceptions import ( @@ -57,6 +57,7 @@ ComputerTool, FileSearchTool, FunctionTool, + FunctionToolResult, Tool, WebSearchTool, default_tool_error_function, @@ -136,6 +137,8 @@ def enable_verbose_stdout_logging(): __all__ = [ "Agent", + "ToolsToFinalOutputFunction", + "ToolsToFinalOutputResult", "Runner", "Model", "ModelProvider", @@ -189,6 +192,7 @@ def enable_verbose_stdout_logging(): "AgentUpdatedStreamEvent", "StreamEvent", "FunctionTool", + "FunctionToolResult", "ComputerTool", "FileSearchTool", "Tool", diff --git a/src/agents/_run_impl.py b/src/agents/_run_impl.py index 2c8495063..ef26d113b 100644 --- a/src/agents/_run_impl.py +++ b/src/agents/_run_impl.py @@ -1,8 +1,10 @@ from __future__ import annotations import asyncio +import inspect +from collections.abc import Awaitable from dataclasses import dataclass -from typing import TYPE_CHECKING, Any +from typing import TYPE_CHECKING, Any, cast from openai.types.responses import ( ResponseComputerToolCall, @@ -26,7 +28,7 @@ from openai.types.responses.response_reasoning_item import ResponseReasoningItem from . import _utils -from .agent import Agent +from .agent import Agent, ToolsToFinalOutputResult from .agent_output import AgentOutputSchema from .computer import AsyncComputer, Computer from .exceptions import AgentsException, ModelBehaviorError, UserError @@ -49,7 +51,7 @@ from .models.interface import ModelTracing from .run_context import RunContextWrapper, TContext from .stream_events import RunItemStreamEvent, StreamEvent -from .tool import ComputerTool, FunctionTool +from .tool import ComputerTool, FunctionTool, FunctionToolResult from .tracing import ( SpanError, Trace, @@ -70,6 +72,8 @@ class QueueCompleteSentinel: QUEUE_COMPLETE_SENTINEL = QueueCompleteSentinel() +_NOT_FINAL_OUTPUT = ToolsToFinalOutputResult(is_final_output=False, final_output=None) + @dataclass class ToolRunHandoff: @@ -199,7 +203,7 @@ async def execute_tools_and_side_effects( config=run_config, ), ) - new_step_items.extend(function_results) + new_step_items.extend([result.run_item for result in function_results]) new_step_items.extend(computer_results) # Second, check if there are any handoffs @@ -216,6 +220,41 @@ async def execute_tools_and_side_effects( run_config=run_config, ) + # Third, we'll check if the tool use should result in a final output + check_tool_use = await cls._check_for_final_output_from_tools( + agent=agent, + tool_results=function_results, + context_wrapper=context_wrapper, + config=run_config, + ) + + if check_tool_use.is_final_output: + # Log a warning if the output type is not the same as the agent's output type + if ( + agent.output_type + and check_tool_use.final_output is not None + and not isinstance(check_tool_use.final_output, agent.output_type) + ): + logger.warning( + f"The output type of the agent is {agent.output_type}, but tool use behavior" + f"returned a final output of type {type(check_tool_use.final_output)}" + ) + + # If the output type is str, then let's just stringify it + if not agent.output_type or agent.output_type is str: + check_tool_use.final_output = str(check_tool_use.final_output) + + return await cls.execute_final_output( + agent=agent, + original_input=original_input, + new_response=new_response, + pre_step_items=pre_step_items, + new_step_items=new_step_items, + final_output=check_tool_use.final_output, + hooks=hooks, + context_wrapper=context_wrapper, + ) + # Now we can check if the model also produced a final output message_items = [item for item in new_step_items if isinstance(item, MessageOutputItem)] @@ -355,10 +394,10 @@ async def execute_function_tool_calls( hooks: RunHooks[TContext], context_wrapper: RunContextWrapper[TContext], config: RunConfig, - ) -> list[RunItem]: + ) -> list[FunctionToolResult]: async def run_single_tool( func_tool: FunctionTool, tool_call: ResponseFunctionToolCall - ) -> str: + ) -> Any: with function_span(func_tool.name) as span_fn: if config.trace_include_sensitive_data: span_fn.span_data.input = tool_call.arguments @@ -404,10 +443,14 @@ async def run_single_tool( results = await asyncio.gather(*tasks) return [ - ToolCallOutputItem( - output=str(result), - raw_item=ItemHelpers.tool_call_output_item(tool_run.tool_call, str(result)), - agent=agent, + FunctionToolResult( + tool=tool_run.function_tool, + output=result, + run_item=ToolCallOutputItem( + output=result, + raw_item=ItemHelpers.tool_call_output_item(tool_run.tool_call, str(result)), + agent=agent, + ), ) for tool_run, result in zip(tool_runs, results) ] @@ -646,6 +689,39 @@ def stream_step_result_to_queue( if event: queue.put_nowait(event) + @classmethod + async def _check_for_final_output_from_tools( + cls, + *, + agent: Agent[TContext], + tool_results: list[FunctionToolResult], + context_wrapper: RunContextWrapper[TContext], + config: RunConfig, + ) -> ToolsToFinalOutputResult: + """Returns (i, final_output).""" + if not tool_results: + return _NOT_FINAL_OUTPUT + + if agent.tool_use_behavior == "run_llm_again": + return _NOT_FINAL_OUTPUT + elif agent.tool_use_behavior == "stop_on_first_tool": + return ToolsToFinalOutputResult( + is_final_output=True, final_output=tool_results[0].output + ) + elif callable(agent.tool_use_behavior): + if inspect.iscoroutinefunction(agent.tool_use_behavior): + return await cast( + Awaitable[ToolsToFinalOutputResult], + agent.tool_use_behavior(context_wrapper, tool_results), + ) + else: + return cast( + ToolsToFinalOutputResult, agent.tool_use_behavior(context_wrapper, tool_results) + ) + else: + logger.error(f"Invalid tool_use_behavior: {agent.tool_use_behavior}") + raise UserError(f"Invalid tool_use_behavior: {agent.tool_use_behavior}") + class TraceCtxManager: """Creates a trace only if there is no current trace, and manages the trace lifecycle.""" diff --git a/src/agents/agent.py b/src/agents/agent.py index 61c0a8966..2274ad64b 100644 --- a/src/agents/agent.py +++ b/src/agents/agent.py @@ -4,7 +4,7 @@ import inspect from collections.abc import Awaitable from dataclasses import dataclass, field -from typing import TYPE_CHECKING, Any, Callable, Generic, cast +from typing import TYPE_CHECKING, Any, Callable, Generic, Literal, TypeAlias, cast from . import _utils from ._utils import MaybeAwaitable @@ -15,13 +15,35 @@ from .model_settings import ModelSettings from .models.interface import Model from .run_context import RunContextWrapper, TContext -from .tool import Tool, function_tool +from .tool import FunctionToolResult, Tool, function_tool if TYPE_CHECKING: from .lifecycle import AgentHooks from .result import RunResult +@dataclass +class ToolsToFinalOutputResult: + is_final_output: bool + """Whether this is the final output. If False, the LLM will run again and receive the tool call + output. + """ + + final_output: Any | None = None + """The final output. Can be None if `is_final_output` is False, otherwise must match the + `output_type` of the agent. + """ + + +ToolsToFinalOutputFunction: TypeAlias = Callable[ + [RunContextWrapper[TContext], list[FunctionToolResult]], + MaybeAwaitable[ToolsToFinalOutputResult], +] +"""A function that takes a run context and a list of tool results, and returns a +`ToolToFinalOutputResult`. +""" + + @dataclass class Agent(Generic[TContext]): """An agent is an AI model configured with instructions, tools, guardrails, handoffs and more. @@ -95,6 +117,19 @@ class Agent(Generic[TContext]): """A class that receives callbacks on various lifecycle events for this agent. """ + tool_use_behavior: ( + Literal["run_llm_again", "stop_on_first_tool"] | ToolsToFinalOutputFunction + ) = "run_llm_again" + """This lets you configure how tool use is handled. + - "run_llm_again": The default behavior. Tools are run, and then the LLM receives the results + and gets to respond. + - "stop_on_first_tool": The output of the first tool call is used as the final output. This + means that the LLM does not process the result of the tool call. In addition, its + - A function: If you pass a function, it will be called with the run context and the list of + tool results. It must return a `ToolToFinalOutputResult`, which determines whether the tool + calls result in a final output. + """ + def clone(self, **kwargs: Any) -> Agent[TContext]: """Make a copy of the agent, with the given arguments changed. For example, you could do: ``` diff --git a/src/agents/items.py b/src/agents/items.py index ffbeba024..c2af0dfc6 100644 --- a/src/agents/items.py +++ b/src/agents/items.py @@ -129,8 +129,10 @@ class ToolCallOutputItem(RunItemBase[Union[FunctionCallOutput, ComputerCallOutpu raw_item: FunctionCallOutput | ComputerCallOutput """The raw item from the model.""" - output: str - """The output of the tool call.""" + output: Any + """The output of the tool call. This is whatever the tool call returned; the `raw_item` + contains a string representation of the output. + """ type: Literal["tool_call_output_item"] = "tool_call_output_item" diff --git a/src/agents/tool.py b/src/agents/tool.py index cbe879442..bd271029d 100644 --- a/src/agents/tool.py +++ b/src/agents/tool.py @@ -16,6 +16,7 @@ from .computer import AsyncComputer, Computer from .exceptions import ModelBehaviorError from .function_schema import DocstringStyle, function_schema +from .items import RunItem from .logger import logger from .run_context import RunContextWrapper from .tracing import SpanError @@ -28,6 +29,18 @@ ToolFunction = Union[ToolFunctionWithoutContext[ToolParams], ToolFunctionWithContext[ToolParams]] +@dataclass +class FunctionToolResult: + tool: FunctionTool + """The tool that was run.""" + + output: Any + """The output of the tool.""" + + run_item: RunItem + """The run item that was produced as a result of the tool call.""" + + @dataclass class FunctionTool: """A tool that wraps a function. In most cases, you should use the `function_tool` helpers to @@ -43,15 +56,15 @@ class FunctionTool: params_json_schema: dict[str, Any] """The JSON schema for the tool's parameters.""" - on_invoke_tool: Callable[[RunContextWrapper[Any], str], Awaitable[str]] + on_invoke_tool: Callable[[RunContextWrapper[Any], str], Awaitable[Any]] """A function that invokes the tool with the given context and parameters. The params passed are: 1. The tool run context. 2. The arguments from the LLM, as a JSON string. - You must return a string representation of the tool output. In case of errors, you can either - raise an Exception (which will cause the run to fail) or return a string error message (which - will be sent back to the LLM). + You must return a string representation of the tool output, or something we can call `str()` on. + In case of errors, you can either raise an Exception (which will cause the run to fail) or + return a string error message (which will be sent back to the LLM). """ strict_json_schema: bool = True @@ -203,7 +216,7 @@ def _create_function_tool(the_func: ToolFunction[...]) -> FunctionTool: strict_json_schema=strict_mode, ) - async def _on_invoke_tool_impl(ctx: RunContextWrapper[Any], input: str) -> str: + async def _on_invoke_tool_impl(ctx: RunContextWrapper[Any], input: str) -> Any: try: json_data: dict[str, Any] = json.loads(input) if input else {} except Exception as e: @@ -250,9 +263,9 @@ async def _on_invoke_tool_impl(ctx: RunContextWrapper[Any], input: str) -> str: else: logger.debug(f"Tool {schema.name} returned {result}") - return str(result) + return result - async def _on_invoke_tool(ctx: RunContextWrapper[Any], input: str) -> str: + async def _on_invoke_tool(ctx: RunContextWrapper[Any], input: str) -> Any: try: return await _on_invoke_tool_impl(ctx, input) except Exception as e: diff --git a/src/agents/tracing/span_data.py b/src/agents/tracing/span_data.py index 5e5d38cbf..1a49d8e6f 100644 --- a/src/agents/tracing/span_data.py +++ b/src/agents/tracing/span_data.py @@ -51,7 +51,7 @@ def export(self) -> dict[str, Any]: class FunctionSpanData(SpanData): __slots__ = ("name", "input", "output") - def __init__(self, name: str, input: str | None, output: str | None): + def __init__(self, name: str, input: str | None, output: Any | None): self.name = name self.input = input self.output = output @@ -65,7 +65,7 @@ def export(self) -> dict[str, Any]: "type": self.type, "name": self.name, "input": self.input, - "output": self.output, + "output": str(self.output) if self.output else None, } diff --git a/tests/test_agent_runner.py b/tests/test_agent_runner.py index c124915a7..a39a5d5d6 100644 --- a/tests/test_agent_runner.py +++ b/tests/test_agent_runner.py @@ -21,6 +21,8 @@ UserError, handoff, ) +from agents.agent import ToolsToFinalOutputResult +from agents.tool import FunctionToolResult, function_tool from .fake_model import FakeModel from .test_responses import ( @@ -552,3 +554,82 @@ def guardrail_function( with pytest.raises(OutputGuardrailTripwireTriggered): await Runner.run(agent, input="user_message") + + +@function_tool +def test_tool_one(): + return Foo(bar="tool_one_result") + + +@function_tool +def test_tool_two(): + return "tool_two_result" + + +@pytest.mark.asyncio +async def test_tool_use_behavior_first_output(): + model = FakeModel() + agent = Agent( + name="test", + model=model, + tools=[get_function_tool("foo", "tool_result"), test_tool_one, test_tool_two], + tool_use_behavior="stop_on_first_tool", + ) + + model.add_multiple_turn_outputs( + [ + # First turn: a message and tool call + [ + get_text_message("a_message"), + get_function_tool_call("test_tool_one", None), + get_function_tool_call("test_tool_two", None), + ], + ] + ) + + result = await Runner.run(agent, input="user_message") + + assert result.final_output == Foo(bar="tool_one_result"), ( + "should have used the first tool result" + ) + + +def custom_tool_use_behavior( + context: RunContextWrapper[Any], results: list[FunctionToolResult] +) -> ToolsToFinalOutputResult: + if "test_tool_one" in [result.tool.name for result in results]: + return ToolsToFinalOutputResult(is_final_output=True, final_output="the_final_output") + else: + return ToolsToFinalOutputResult(is_final_output=False, final_output=None) + + +@pytest.mark.asyncio +async def test_tool_use_behavior_custom_function(): + model = FakeModel() + agent = Agent( + name="test", + model=model, + tools=[get_function_tool("foo", "tool_result"), test_tool_one, test_tool_two], + tool_use_behavior=custom_tool_use_behavior, + ) + + model.add_multiple_turn_outputs( + [ + # First turn: a message and tool call + [ + get_text_message("a_message"), + get_function_tool_call("test_tool_two", None), + ], + # Second turn: a message and tool call + [ + get_text_message("a_message"), + get_function_tool_call("test_tool_one", None), + get_function_tool_call("test_tool_two", None), + ], + ] + ) + + result = await Runner.run(agent, input="user_message") + + assert len(result.raw_responses) == 2, "should have two model responses" + assert result.final_output == "the_final_output", "should have used the custom function" diff --git a/tests/test_function_tool.py b/tests/test_function_tool.py index 6a78309b5..0a57aea87 100644 --- a/tests/test_function_tool.py +++ b/tests/test_function_tool.py @@ -49,10 +49,10 @@ async def test_simple_function(): assert tool.name == "simple_function" result = await tool.on_invoke_tool(RunContextWrapper(None), '{"a": 1}') - assert result == "6" + assert result == 6 result = await tool.on_invoke_tool(RunContextWrapper(None), '{"a": 1, "b": 2}') - assert result == "3" + assert result == 3 # Missing required argument should raise an error with pytest.raises(ModelBehaviorError): diff --git a/tests/test_tool_use_behavior.py b/tests/test_tool_use_behavior.py new file mode 100644 index 000000000..875e98a23 --- /dev/null +++ b/tests/test_tool_use_behavior.py @@ -0,0 +1,152 @@ +# Copyright + +from __future__ import annotations + +from typing import cast + +import pytest +from openai.types.responses.response_input_item_param import FunctionCallOutput + +from agents import ( + Agent, + FunctionToolResult, + RunConfig, + RunContextWrapper, + ToolCallOutputItem, + ToolsToFinalOutputResult, + UserError, +) +from agents._run_impl import RunImpl + +from .test_responses import get_function_tool + + +def _make_function_tool_result(agent: Agent, output: str) -> FunctionToolResult: + # Construct a FunctionToolResult with the given output using a simple function tool. + tool = get_function_tool("dummy", return_value=output) + raw_item: FunctionCallOutput = cast( + FunctionCallOutput, + { + "call_id": "1", + "output": output, + "type": "function_call_output", + }, + ) + # For this test we don't care about the specific RunItem subclass, only the output field + run_item = ToolCallOutputItem(agent=agent, raw_item=raw_item, output=output) + return FunctionToolResult(tool=tool, output=output, run_item=run_item) + + +@pytest.mark.asyncio +async def test_no_tool_results_returns_not_final_output() -> None: + # If there are no tool results at all, tool_use_behavior should not produce a final output. + agent = Agent(name="test") + result = await RunImpl._check_for_final_output_from_tools( + agent=agent, + tool_results=[], + context_wrapper=RunContextWrapper(context=None), + config=RunConfig(), + ) + assert result.is_final_output is False + assert result.final_output is None + + +@pytest.mark.asyncio +async def test_run_llm_again_behavior() -> None: + # With the default run_llm_again behavior, even with tools we still expect to keep running. + agent = Agent(name="test", tool_use_behavior="run_llm_again") + tool_results = [_make_function_tool_result(agent, "ignored")] + result = await RunImpl._check_for_final_output_from_tools( + agent=agent, + tool_results=tool_results, + context_wrapper=RunContextWrapper(context=None), + config=RunConfig(), + ) + assert result.is_final_output is False + assert result.final_output is None + + +@pytest.mark.asyncio +async def test_stop_on_first_tool_behavior() -> None: + # When tool_use_behavior is stop_on_first_tool, we should surface first tool output as final. + agent = Agent(name="test", tool_use_behavior="stop_on_first_tool") + tool_results = [ + _make_function_tool_result(agent, "first_tool_output"), + _make_function_tool_result(agent, "ignored"), + ] + result = await RunImpl._check_for_final_output_from_tools( + agent=agent, + tool_results=tool_results, + context_wrapper=RunContextWrapper(context=None), + config=RunConfig(), + ) + assert result.is_final_output is True + assert result.final_output == "first_tool_output" + + +@pytest.mark.asyncio +async def test_custom_tool_use_behavior_sync() -> None: + """If tool_use_behavior is a sync function, we should call it and propagate its return.""" + + def behavior( + context: RunContextWrapper, results: list[FunctionToolResult] + ) -> ToolsToFinalOutputResult: + assert len(results) == 3 + return ToolsToFinalOutputResult(is_final_output=True, final_output="custom") + + agent = Agent(name="test", tool_use_behavior=behavior) + tool_results = [ + _make_function_tool_result(agent, "ignored1"), + _make_function_tool_result(agent, "ignored2"), + _make_function_tool_result(agent, "ignored3"), + ] + result = await RunImpl._check_for_final_output_from_tools( + agent=agent, + tool_results=tool_results, + context_wrapper=RunContextWrapper(context=None), + config=RunConfig(), + ) + assert result.is_final_output is True + assert result.final_output == "custom" + + +@pytest.mark.asyncio +async def test_custom_tool_use_behavior_async() -> None: + """If tool_use_behavior is an async function, we should await it and propagate its return.""" + + async def behavior( + context: RunContextWrapper, results: list[FunctionToolResult] + ) -> ToolsToFinalOutputResult: + assert len(results) == 3 + return ToolsToFinalOutputResult(is_final_output=True, final_output="async_custom") + + agent = Agent(name="test", tool_use_behavior=behavior) + tool_results = [ + _make_function_tool_result(agent, "ignored1"), + _make_function_tool_result(agent, "ignored2"), + _make_function_tool_result(agent, "ignored3"), + ] + result = await RunImpl._check_for_final_output_from_tools( + agent=agent, + tool_results=tool_results, + context_wrapper=RunContextWrapper(context=None), + config=RunConfig(), + ) + assert result.is_final_output is True + assert result.final_output == "async_custom" + + +@pytest.mark.asyncio +async def test_invalid_tool_use_behavior_raises() -> None: + """If tool_use_behavior is invalid, we should raise a UserError.""" + agent = Agent(name="test") + # Force an invalid value; mypy will complain, so ignore the type here. + agent.tool_use_behavior = "bad_value" # type: ignore[assignment] + tool_results = [_make_function_tool_result(agent, "ignored")] + with pytest.raises(UserError): + await RunImpl._check_for_final_output_from_tools( + agent=agent, + tool_results=tool_results, + context_wrapper=RunContextWrapper(context=None), + config=RunConfig(), + ) From 0bb6ce22547a0f9bbeed0fe4c52aaa0bcb044126 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 17 Mar 2025 13:02:11 -0400 Subject: [PATCH 004/337] Introduce tool_use_behavior on agents --- src/agents/__init__.py | 6 +- src/agents/_run_impl.py | 85 +++++++++++++++--- src/agents/agent.py | 39 +++++++- src/agents/items.py | 6 +- src/agents/tool.py | 27 ++++-- src/agents/tracing/span_data.py | 4 +- tests/test_agent_runner.py | 82 +++++++++++++++++ tests/test_function_tool.py | 4 +- tests/test_tool_use_behavior.py | 152 ++++++++++++++++++++++++++++++++ 9 files changed, 379 insertions(+), 26 deletions(-) create mode 100644 tests/test_tool_use_behavior.py diff --git a/src/agents/__init__.py b/src/agents/__init__.py index a2d7f247b..11720bbca 100644 --- a/src/agents/__init__.py +++ b/src/agents/__init__.py @@ -5,7 +5,7 @@ from openai import AsyncOpenAI from . import _config -from .agent import Agent +from .agent import Agent, ToolsToFinalOutputFunction, ToolsToFinalOutputResult from .agent_output import AgentOutputSchema from .computer import AsyncComputer, Button, Computer, Environment from .exceptions import ( @@ -57,6 +57,7 @@ ComputerTool, FileSearchTool, FunctionTool, + FunctionToolResult, Tool, WebSearchTool, default_tool_error_function, @@ -136,6 +137,8 @@ def enable_verbose_stdout_logging(): __all__ = [ "Agent", + "ToolsToFinalOutputFunction", + "ToolsToFinalOutputResult", "Runner", "Model", "ModelProvider", @@ -189,6 +192,7 @@ def enable_verbose_stdout_logging(): "AgentUpdatedStreamEvent", "StreamEvent", "FunctionTool", + "FunctionToolResult", "ComputerTool", "FileSearchTool", "Tool", diff --git a/src/agents/_run_impl.py b/src/agents/_run_impl.py index 2c8495063..7a2f3b5b4 100644 --- a/src/agents/_run_impl.py +++ b/src/agents/_run_impl.py @@ -1,8 +1,10 @@ from __future__ import annotations import asyncio +import inspect +from collections.abc import Awaitable from dataclasses import dataclass -from typing import TYPE_CHECKING, Any +from typing import TYPE_CHECKING, Any, cast from openai.types.responses import ( ResponseComputerToolCall, @@ -26,7 +28,7 @@ from openai.types.responses.response_reasoning_item import ResponseReasoningItem from . import _utils -from .agent import Agent +from .agent import Agent, ToolsToFinalOutputResult from .agent_output import AgentOutputSchema from .computer import AsyncComputer, Computer from .exceptions import AgentsException, ModelBehaviorError, UserError @@ -49,7 +51,7 @@ from .models.interface import ModelTracing from .run_context import RunContextWrapper, TContext from .stream_events import RunItemStreamEvent, StreamEvent -from .tool import ComputerTool, FunctionTool +from .tool import ComputerTool, FunctionTool, FunctionToolResult from .tracing import ( SpanError, Trace, @@ -70,6 +72,8 @@ class QueueCompleteSentinel: QUEUE_COMPLETE_SENTINEL = QueueCompleteSentinel() +_NOT_FINAL_OUTPUT = ToolsToFinalOutputResult(is_final_output=False, final_output=None) + @dataclass class ToolRunHandoff: @@ -199,7 +203,7 @@ async def execute_tools_and_side_effects( config=run_config, ), ) - new_step_items.extend(function_results) + new_step_items.extend([result.run_item for result in function_results]) new_step_items.extend(computer_results) # Second, check if there are any handoffs @@ -216,6 +220,30 @@ async def execute_tools_and_side_effects( run_config=run_config, ) + # Third, we'll check if the tool use should result in a final output + check_tool_use = await cls._check_for_final_output_from_tools( + agent=agent, + tool_results=function_results, + context_wrapper=context_wrapper, + config=run_config, + ) + + if check_tool_use.is_final_output: + # If the output type is str, then let's just stringify it + if not agent.output_type or agent.output_type is str: + check_tool_use.final_output = str(check_tool_use.final_output) + + return await cls.execute_final_output( + agent=agent, + original_input=original_input, + new_response=new_response, + pre_step_items=pre_step_items, + new_step_items=new_step_items, + final_output=check_tool_use.final_output, + hooks=hooks, + context_wrapper=context_wrapper, + ) + # Now we can check if the model also produced a final output message_items = [item for item in new_step_items if isinstance(item, MessageOutputItem)] @@ -355,10 +383,10 @@ async def execute_function_tool_calls( hooks: RunHooks[TContext], context_wrapper: RunContextWrapper[TContext], config: RunConfig, - ) -> list[RunItem]: + ) -> list[FunctionToolResult]: async def run_single_tool( func_tool: FunctionTool, tool_call: ResponseFunctionToolCall - ) -> str: + ) -> Any: with function_span(func_tool.name) as span_fn: if config.trace_include_sensitive_data: span_fn.span_data.input = tool_call.arguments @@ -404,10 +432,14 @@ async def run_single_tool( results = await asyncio.gather(*tasks) return [ - ToolCallOutputItem( - output=str(result), - raw_item=ItemHelpers.tool_call_output_item(tool_run.tool_call, str(result)), - agent=agent, + FunctionToolResult( + tool=tool_run.function_tool, + output=result, + run_item=ToolCallOutputItem( + output=result, + raw_item=ItemHelpers.tool_call_output_item(tool_run.tool_call, str(result)), + agent=agent, + ), ) for tool_run, result in zip(tool_runs, results) ] @@ -646,6 +678,39 @@ def stream_step_result_to_queue( if event: queue.put_nowait(event) + @classmethod + async def _check_for_final_output_from_tools( + cls, + *, + agent: Agent[TContext], + tool_results: list[FunctionToolResult], + context_wrapper: RunContextWrapper[TContext], + config: RunConfig, + ) -> ToolsToFinalOutputResult: + """Returns (i, final_output).""" + if not tool_results: + return _NOT_FINAL_OUTPUT + + if agent.tool_use_behavior == "run_llm_again": + return _NOT_FINAL_OUTPUT + elif agent.tool_use_behavior == "stop_on_first_tool": + return ToolsToFinalOutputResult( + is_final_output=True, final_output=tool_results[0].output + ) + elif callable(agent.tool_use_behavior): + if inspect.iscoroutinefunction(agent.tool_use_behavior): + return await cast( + Awaitable[ToolsToFinalOutputResult], + agent.tool_use_behavior(context_wrapper, tool_results), + ) + else: + return cast( + ToolsToFinalOutputResult, agent.tool_use_behavior(context_wrapper, tool_results) + ) + else: + logger.error(f"Invalid tool_use_behavior: {agent.tool_use_behavior}") + raise UserError(f"Invalid tool_use_behavior: {agent.tool_use_behavior}") + class TraceCtxManager: """Creates a trace only if there is no current trace, and manages the trace lifecycle.""" diff --git a/src/agents/agent.py b/src/agents/agent.py index 61c0a8966..2274ad64b 100644 --- a/src/agents/agent.py +++ b/src/agents/agent.py @@ -4,7 +4,7 @@ import inspect from collections.abc import Awaitable from dataclasses import dataclass, field -from typing import TYPE_CHECKING, Any, Callable, Generic, cast +from typing import TYPE_CHECKING, Any, Callable, Generic, Literal, TypeAlias, cast from . import _utils from ._utils import MaybeAwaitable @@ -15,13 +15,35 @@ from .model_settings import ModelSettings from .models.interface import Model from .run_context import RunContextWrapper, TContext -from .tool import Tool, function_tool +from .tool import FunctionToolResult, Tool, function_tool if TYPE_CHECKING: from .lifecycle import AgentHooks from .result import RunResult +@dataclass +class ToolsToFinalOutputResult: + is_final_output: bool + """Whether this is the final output. If False, the LLM will run again and receive the tool call + output. + """ + + final_output: Any | None = None + """The final output. Can be None if `is_final_output` is False, otherwise must match the + `output_type` of the agent. + """ + + +ToolsToFinalOutputFunction: TypeAlias = Callable[ + [RunContextWrapper[TContext], list[FunctionToolResult]], + MaybeAwaitable[ToolsToFinalOutputResult], +] +"""A function that takes a run context and a list of tool results, and returns a +`ToolToFinalOutputResult`. +""" + + @dataclass class Agent(Generic[TContext]): """An agent is an AI model configured with instructions, tools, guardrails, handoffs and more. @@ -95,6 +117,19 @@ class Agent(Generic[TContext]): """A class that receives callbacks on various lifecycle events for this agent. """ + tool_use_behavior: ( + Literal["run_llm_again", "stop_on_first_tool"] | ToolsToFinalOutputFunction + ) = "run_llm_again" + """This lets you configure how tool use is handled. + - "run_llm_again": The default behavior. Tools are run, and then the LLM receives the results + and gets to respond. + - "stop_on_first_tool": The output of the first tool call is used as the final output. This + means that the LLM does not process the result of the tool call. In addition, its + - A function: If you pass a function, it will be called with the run context and the list of + tool results. It must return a `ToolToFinalOutputResult`, which determines whether the tool + calls result in a final output. + """ + def clone(self, **kwargs: Any) -> Agent[TContext]: """Make a copy of the agent, with the given arguments changed. For example, you could do: ``` diff --git a/src/agents/items.py b/src/agents/items.py index ffbeba024..c2af0dfc6 100644 --- a/src/agents/items.py +++ b/src/agents/items.py @@ -129,8 +129,10 @@ class ToolCallOutputItem(RunItemBase[Union[FunctionCallOutput, ComputerCallOutpu raw_item: FunctionCallOutput | ComputerCallOutput """The raw item from the model.""" - output: str - """The output of the tool call.""" + output: Any + """The output of the tool call. This is whatever the tool call returned; the `raw_item` + contains a string representation of the output. + """ type: Literal["tool_call_output_item"] = "tool_call_output_item" diff --git a/src/agents/tool.py b/src/agents/tool.py index cbe879442..bd271029d 100644 --- a/src/agents/tool.py +++ b/src/agents/tool.py @@ -16,6 +16,7 @@ from .computer import AsyncComputer, Computer from .exceptions import ModelBehaviorError from .function_schema import DocstringStyle, function_schema +from .items import RunItem from .logger import logger from .run_context import RunContextWrapper from .tracing import SpanError @@ -28,6 +29,18 @@ ToolFunction = Union[ToolFunctionWithoutContext[ToolParams], ToolFunctionWithContext[ToolParams]] +@dataclass +class FunctionToolResult: + tool: FunctionTool + """The tool that was run.""" + + output: Any + """The output of the tool.""" + + run_item: RunItem + """The run item that was produced as a result of the tool call.""" + + @dataclass class FunctionTool: """A tool that wraps a function. In most cases, you should use the `function_tool` helpers to @@ -43,15 +56,15 @@ class FunctionTool: params_json_schema: dict[str, Any] """The JSON schema for the tool's parameters.""" - on_invoke_tool: Callable[[RunContextWrapper[Any], str], Awaitable[str]] + on_invoke_tool: Callable[[RunContextWrapper[Any], str], Awaitable[Any]] """A function that invokes the tool with the given context and parameters. The params passed are: 1. The tool run context. 2. The arguments from the LLM, as a JSON string. - You must return a string representation of the tool output. In case of errors, you can either - raise an Exception (which will cause the run to fail) or return a string error message (which - will be sent back to the LLM). + You must return a string representation of the tool output, or something we can call `str()` on. + In case of errors, you can either raise an Exception (which will cause the run to fail) or + return a string error message (which will be sent back to the LLM). """ strict_json_schema: bool = True @@ -203,7 +216,7 @@ def _create_function_tool(the_func: ToolFunction[...]) -> FunctionTool: strict_json_schema=strict_mode, ) - async def _on_invoke_tool_impl(ctx: RunContextWrapper[Any], input: str) -> str: + async def _on_invoke_tool_impl(ctx: RunContextWrapper[Any], input: str) -> Any: try: json_data: dict[str, Any] = json.loads(input) if input else {} except Exception as e: @@ -250,9 +263,9 @@ async def _on_invoke_tool_impl(ctx: RunContextWrapper[Any], input: str) -> str: else: logger.debug(f"Tool {schema.name} returned {result}") - return str(result) + return result - async def _on_invoke_tool(ctx: RunContextWrapper[Any], input: str) -> str: + async def _on_invoke_tool(ctx: RunContextWrapper[Any], input: str) -> Any: try: return await _on_invoke_tool_impl(ctx, input) except Exception as e: diff --git a/src/agents/tracing/span_data.py b/src/agents/tracing/span_data.py index 5e5d38cbf..1a49d8e6f 100644 --- a/src/agents/tracing/span_data.py +++ b/src/agents/tracing/span_data.py @@ -51,7 +51,7 @@ def export(self) -> dict[str, Any]: class FunctionSpanData(SpanData): __slots__ = ("name", "input", "output") - def __init__(self, name: str, input: str | None, output: str | None): + def __init__(self, name: str, input: str | None, output: Any | None): self.name = name self.input = input self.output = output @@ -65,7 +65,7 @@ def export(self) -> dict[str, Any]: "type": self.type, "name": self.name, "input": self.input, - "output": self.output, + "output": str(self.output) if self.output else None, } diff --git a/tests/test_agent_runner.py b/tests/test_agent_runner.py index c124915a7..e8e060fd5 100644 --- a/tests/test_agent_runner.py +++ b/tests/test_agent_runner.py @@ -21,6 +21,8 @@ UserError, handoff, ) +from agents.agent import ToolsToFinalOutputResult +from agents.tool import FunctionToolResult, function_tool from .fake_model import FakeModel from .test_responses import ( @@ -552,3 +554,83 @@ def guardrail_function( with pytest.raises(OutputGuardrailTripwireTriggered): await Runner.run(agent, input="user_message") + + +@function_tool +def test_tool_one(): + return Foo(bar="tool_one_result") + + +@function_tool +def test_tool_two(): + return "tool_two_result" + + +@pytest.mark.asyncio +async def test_tool_use_behavior_first_output(): + model = FakeModel() + agent = Agent( + name="test", + model=model, + tools=[get_function_tool("foo", "tool_result"), test_tool_one, test_tool_two], + tool_use_behavior="stop_on_first_tool", + output_type=Foo, + ) + + model.add_multiple_turn_outputs( + [ + # First turn: a message and tool call + [ + get_text_message("a_message"), + get_function_tool_call("test_tool_one", None), + get_function_tool_call("test_tool_two", None), + ], + ] + ) + + result = await Runner.run(agent, input="user_message") + + assert result.final_output == Foo(bar="tool_one_result"), ( + "should have used the first tool result" + ) + + +def custom_tool_use_behavior( + context: RunContextWrapper[Any], results: list[FunctionToolResult] +) -> ToolsToFinalOutputResult: + if "test_tool_one" in [result.tool.name for result in results]: + return ToolsToFinalOutputResult(is_final_output=True, final_output="the_final_output") + else: + return ToolsToFinalOutputResult(is_final_output=False, final_output=None) + + +@pytest.mark.asyncio +async def test_tool_use_behavior_custom_function(): + model = FakeModel() + agent = Agent( + name="test", + model=model, + tools=[get_function_tool("foo", "tool_result"), test_tool_one, test_tool_two], + tool_use_behavior=custom_tool_use_behavior, + ) + + model.add_multiple_turn_outputs( + [ + # First turn: a message and tool call + [ + get_text_message("a_message"), + get_function_tool_call("test_tool_two", None), + ], + # Second turn: a message and tool call + [ + get_text_message("a_message"), + get_function_tool_call("test_tool_one", None), + get_function_tool_call("test_tool_two", None), + ], + ] + ) + + result = await Runner.run(agent, input="user_message") + + assert len(result.raw_responses) == 2, "should have two model responses" + assert result.final_output == "the_final_output", "should have used the custom function" diff --git a/tests/test_function_tool.py b/tests/test_function_tool.py index 6a78309b5..0a57aea87 100644 --- a/tests/test_function_tool.py +++ b/tests/test_function_tool.py @@ -49,10 +49,10 @@ async def test_simple_function(): assert tool.name == "simple_function" result = await tool.on_invoke_tool(RunContextWrapper(None), '{"a": 1}') - assert result == "6" + assert result == 6 result = await tool.on_invoke_tool(RunContextWrapper(None), '{"a": 1, "b": 2}') - assert result == "3" + assert result == 3 # Missing required argument should raise an error with pytest.raises(ModelBehaviorError): diff --git a/tests/test_tool_use_behavior.py b/tests/test_tool_use_behavior.py new file mode 100644 index 000000000..875e98a23 --- /dev/null +++ b/tests/test_tool_use_behavior.py @@ -0,0 +1,152 @@ +# Copyright + +from __future__ import annotations + +from typing import cast + +import pytest +from openai.types.responses.response_input_item_param import FunctionCallOutput + +from agents import ( + Agent, + FunctionToolResult, + RunConfig, + RunContextWrapper, + ToolCallOutputItem, + ToolsToFinalOutputResult, + UserError, +) +from agents._run_impl import RunImpl + +from .test_responses import get_function_tool + + +def _make_function_tool_result(agent: Agent, output: str) -> FunctionToolResult: + # Construct a FunctionToolResult with the given output using a simple function tool. + tool = get_function_tool("dummy", return_value=output) + raw_item: FunctionCallOutput = cast( + FunctionCallOutput, + { + "call_id": "1", + "output": output, + "type": "function_call_output", + }, + ) + # For this test we don't care about the specific RunItem subclass, only the output field + run_item = ToolCallOutputItem(agent=agent, raw_item=raw_item, output=output) + return FunctionToolResult(tool=tool, output=output, run_item=run_item) + + +@pytest.mark.asyncio +async def test_no_tool_results_returns_not_final_output() -> None: + # If there are no tool results at all, tool_use_behavior should not produce a final output. + agent = Agent(name="test") + result = await RunImpl._check_for_final_output_from_tools( + agent=agent, + tool_results=[], + context_wrapper=RunContextWrapper(context=None), + config=RunConfig(), + ) + assert result.is_final_output is False + assert result.final_output is None + + +@pytest.mark.asyncio +async def test_run_llm_again_behavior() -> None: + # With the default run_llm_again behavior, even with tools we still expect to keep running. + agent = Agent(name="test", tool_use_behavior="run_llm_again") + tool_results = [_make_function_tool_result(agent, "ignored")] + result = await RunImpl._check_for_final_output_from_tools( + agent=agent, + tool_results=tool_results, + context_wrapper=RunContextWrapper(context=None), + config=RunConfig(), + ) + assert result.is_final_output is False + assert result.final_output is None + + +@pytest.mark.asyncio +async def test_stop_on_first_tool_behavior() -> None: + # When tool_use_behavior is stop_on_first_tool, we should surface first tool output as final. + agent = Agent(name="test", tool_use_behavior="stop_on_first_tool") + tool_results = [ + _make_function_tool_result(agent, "first_tool_output"), + _make_function_tool_result(agent, "ignored"), + ] + result = await RunImpl._check_for_final_output_from_tools( + agent=agent, + tool_results=tool_results, + context_wrapper=RunContextWrapper(context=None), + config=RunConfig(), + ) + assert result.is_final_output is True + assert result.final_output == "first_tool_output" + + +@pytest.mark.asyncio +async def test_custom_tool_use_behavior_sync() -> None: + """If tool_use_behavior is a sync function, we should call it and propagate its return.""" + + def behavior( + context: RunContextWrapper, results: list[FunctionToolResult] + ) -> ToolsToFinalOutputResult: + assert len(results) == 3 + return ToolsToFinalOutputResult(is_final_output=True, final_output="custom") + + agent = Agent(name="test", tool_use_behavior=behavior) + tool_results = [ + _make_function_tool_result(agent, "ignored1"), + _make_function_tool_result(agent, "ignored2"), + _make_function_tool_result(agent, "ignored3"), + ] + result = await RunImpl._check_for_final_output_from_tools( + agent=agent, + tool_results=tool_results, + context_wrapper=RunContextWrapper(context=None), + config=RunConfig(), + ) + assert result.is_final_output is True + assert result.final_output == "custom" + + +@pytest.mark.asyncio +async def test_custom_tool_use_behavior_async() -> None: + """If tool_use_behavior is an async function, we should await it and propagate its return.""" + + async def behavior( + context: RunContextWrapper, results: list[FunctionToolResult] + ) -> ToolsToFinalOutputResult: + assert len(results) == 3 + return ToolsToFinalOutputResult(is_final_output=True, final_output="async_custom") + + agent = Agent(name="test", tool_use_behavior=behavior) + tool_results = [ + _make_function_tool_result(agent, "ignored1"), + _make_function_tool_result(agent, "ignored2"), + _make_function_tool_result(agent, "ignored3"), + ] + result = await RunImpl._check_for_final_output_from_tools( + agent=agent, + tool_results=tool_results, + context_wrapper=RunContextWrapper(context=None), + config=RunConfig(), + ) + assert result.is_final_output is True + assert result.final_output == "async_custom" + + +@pytest.mark.asyncio +async def test_invalid_tool_use_behavior_raises() -> None: + """If tool_use_behavior is invalid, we should raise a UserError.""" + agent = Agent(name="test") + # Force an invalid value; mypy will complain, so ignore the type here. + agent.tool_use_behavior = "bad_value" # type: ignore[assignment] + tool_results = [_make_function_tool_result(agent, "ignored")] + with pytest.raises(UserError): + await RunImpl._check_for_final_output_from_tools( + agent=agent, + tool_results=tool_results, + context_wrapper=RunContextWrapper(context=None), + config=RunConfig(), + ) From 235e60555fa0b0399ae63a412ab4572773dd8471 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 17 Mar 2025 14:32:49 -0400 Subject: [PATCH 005/337] Introduce tool_use_behavior on agents --- docs/agents.md | 13 +++ src/agents/__init__.py | 6 +- src/agents/_run_impl.py | 85 +++++++++++++++--- src/agents/agent.py | 42 ++++++++- src/agents/items.py | 6 +- src/agents/tool.py | 27 ++++-- src/agents/tracing/span_data.py | 4 +- tests/test_agent_runner.py | 82 +++++++++++++++++ tests/test_function_tool.py | 4 +- tests/test_tool_use_behavior.py | 152 ++++++++++++++++++++++++++++++++ 10 files changed, 395 insertions(+), 26 deletions(-) create mode 100644 tests/test_tool_use_behavior.py diff --git a/docs/agents.md b/docs/agents.md index 17589b3db..1c3147390 100644 --- a/docs/agents.md +++ b/docs/agents.md @@ -130,3 +130,16 @@ robot_agent = pirate_agent.clone( instructions="Write like a robot", ) ``` + +## Forcing tool use + +Supplying a list of tools doesn't always mean the LLM will use a tool. You can force tool use by setting [`ModelSettings.tool_choice`][agents.model_settings.ModelSettings.tool_choice]. Valid values are: + +1. `auto`, which allows the LLM to decide whether or not to use a tool. +2. `required`, which requires the LLM to use a tool (but it can intelligently decide which tool). +3. `none`, which requires the LLM to _not_ use a tool. +4. Setting a specific string e.g. `my_tool`, which requires the LLM to use that specific tool. + +!!! note + + If requiring tool use, you should consider setting [`Agent.tool_use_behavior`] to stop the Agent from running when a tool output is produced. Otherwise, the Agent might run in an infinite loop, where the LLM produces a tool call , and the tool result is sent to the LLM, and this infinite loops because the LLM is always forced to use a tool. diff --git a/src/agents/__init__.py b/src/agents/__init__.py index a2d7f247b..11720bbca 100644 --- a/src/agents/__init__.py +++ b/src/agents/__init__.py @@ -5,7 +5,7 @@ from openai import AsyncOpenAI from . import _config -from .agent import Agent +from .agent import Agent, ToolsToFinalOutputFunction, ToolsToFinalOutputResult from .agent_output import AgentOutputSchema from .computer import AsyncComputer, Button, Computer, Environment from .exceptions import ( @@ -57,6 +57,7 @@ ComputerTool, FileSearchTool, FunctionTool, + FunctionToolResult, Tool, WebSearchTool, default_tool_error_function, @@ -136,6 +137,8 @@ def enable_verbose_stdout_logging(): __all__ = [ "Agent", + "ToolsToFinalOutputFunction", + "ToolsToFinalOutputResult", "Runner", "Model", "ModelProvider", @@ -189,6 +192,7 @@ def enable_verbose_stdout_logging(): "AgentUpdatedStreamEvent", "StreamEvent", "FunctionTool", + "FunctionToolResult", "ComputerTool", "FileSearchTool", "Tool", diff --git a/src/agents/_run_impl.py b/src/agents/_run_impl.py index 2c8495063..7a2f3b5b4 100644 --- a/src/agents/_run_impl.py +++ b/src/agents/_run_impl.py @@ -1,8 +1,10 @@ from __future__ import annotations import asyncio +import inspect +from collections.abc import Awaitable from dataclasses import dataclass -from typing import TYPE_CHECKING, Any +from typing import TYPE_CHECKING, Any, cast from openai.types.responses import ( ResponseComputerToolCall, @@ -26,7 +28,7 @@ from openai.types.responses.response_reasoning_item import ResponseReasoningItem from . import _utils -from .agent import Agent +from .agent import Agent, ToolsToFinalOutputResult from .agent_output import AgentOutputSchema from .computer import AsyncComputer, Computer from .exceptions import AgentsException, ModelBehaviorError, UserError @@ -49,7 +51,7 @@ from .models.interface import ModelTracing from .run_context import RunContextWrapper, TContext from .stream_events import RunItemStreamEvent, StreamEvent -from .tool import ComputerTool, FunctionTool +from .tool import ComputerTool, FunctionTool, FunctionToolResult from .tracing import ( SpanError, Trace, @@ -70,6 +72,8 @@ class QueueCompleteSentinel: QUEUE_COMPLETE_SENTINEL = QueueCompleteSentinel() +_NOT_FINAL_OUTPUT = ToolsToFinalOutputResult(is_final_output=False, final_output=None) + @dataclass class ToolRunHandoff: @@ -199,7 +203,7 @@ async def execute_tools_and_side_effects( config=run_config, ), ) - new_step_items.extend(function_results) + new_step_items.extend([result.run_item for result in function_results]) new_step_items.extend(computer_results) # Second, check if there are any handoffs @@ -216,6 +220,30 @@ async def execute_tools_and_side_effects( run_config=run_config, ) + # Third, we'll check if the tool use should result in a final output + check_tool_use = await cls._check_for_final_output_from_tools( + agent=agent, + tool_results=function_results, + context_wrapper=context_wrapper, + config=run_config, + ) + + if check_tool_use.is_final_output: + # If the output type is str, then let's just stringify it + if not agent.output_type or agent.output_type is str: + check_tool_use.final_output = str(check_tool_use.final_output) + + return await cls.execute_final_output( + agent=agent, + original_input=original_input, + new_response=new_response, + pre_step_items=pre_step_items, + new_step_items=new_step_items, + final_output=check_tool_use.final_output, + hooks=hooks, + context_wrapper=context_wrapper, + ) + # Now we can check if the model also produced a final output message_items = [item for item in new_step_items if isinstance(item, MessageOutputItem)] @@ -355,10 +383,10 @@ async def execute_function_tool_calls( hooks: RunHooks[TContext], context_wrapper: RunContextWrapper[TContext], config: RunConfig, - ) -> list[RunItem]: + ) -> list[FunctionToolResult]: async def run_single_tool( func_tool: FunctionTool, tool_call: ResponseFunctionToolCall - ) -> str: + ) -> Any: with function_span(func_tool.name) as span_fn: if config.trace_include_sensitive_data: span_fn.span_data.input = tool_call.arguments @@ -404,10 +432,14 @@ async def run_single_tool( results = await asyncio.gather(*tasks) return [ - ToolCallOutputItem( - output=str(result), - raw_item=ItemHelpers.tool_call_output_item(tool_run.tool_call, str(result)), - agent=agent, + FunctionToolResult( + tool=tool_run.function_tool, + output=result, + run_item=ToolCallOutputItem( + output=result, + raw_item=ItemHelpers.tool_call_output_item(tool_run.tool_call, str(result)), + agent=agent, + ), ) for tool_run, result in zip(tool_runs, results) ] @@ -646,6 +678,39 @@ def stream_step_result_to_queue( if event: queue.put_nowait(event) + @classmethod + async def _check_for_final_output_from_tools( + cls, + *, + agent: Agent[TContext], + tool_results: list[FunctionToolResult], + context_wrapper: RunContextWrapper[TContext], + config: RunConfig, + ) -> ToolsToFinalOutputResult: + """Returns (i, final_output).""" + if not tool_results: + return _NOT_FINAL_OUTPUT + + if agent.tool_use_behavior == "run_llm_again": + return _NOT_FINAL_OUTPUT + elif agent.tool_use_behavior == "stop_on_first_tool": + return ToolsToFinalOutputResult( + is_final_output=True, final_output=tool_results[0].output + ) + elif callable(agent.tool_use_behavior): + if inspect.iscoroutinefunction(agent.tool_use_behavior): + return await cast( + Awaitable[ToolsToFinalOutputResult], + agent.tool_use_behavior(context_wrapper, tool_results), + ) + else: + return cast( + ToolsToFinalOutputResult, agent.tool_use_behavior(context_wrapper, tool_results) + ) + else: + logger.error(f"Invalid tool_use_behavior: {agent.tool_use_behavior}") + raise UserError(f"Invalid tool_use_behavior: {agent.tool_use_behavior}") + class TraceCtxManager: """Creates a trace only if there is no current trace, and manages the trace lifecycle.""" diff --git a/src/agents/agent.py b/src/agents/agent.py index 61c0a8966..1d2aeb4ea 100644 --- a/src/agents/agent.py +++ b/src/agents/agent.py @@ -4,7 +4,7 @@ import inspect from collections.abc import Awaitable from dataclasses import dataclass, field -from typing import TYPE_CHECKING, Any, Callable, Generic, cast +from typing import TYPE_CHECKING, Any, Callable, Generic, Literal, TypeAlias, cast from . import _utils from ._utils import MaybeAwaitable @@ -15,13 +15,35 @@ from .model_settings import ModelSettings from .models.interface import Model from .run_context import RunContextWrapper, TContext -from .tool import Tool, function_tool +from .tool import FunctionToolResult, Tool, function_tool if TYPE_CHECKING: from .lifecycle import AgentHooks from .result import RunResult +@dataclass +class ToolsToFinalOutputResult: + is_final_output: bool + """Whether this is the final output. If False, the LLM will run again and receive the tool call + output. + """ + + final_output: Any | None = None + """The final output. Can be None if `is_final_output` is False, otherwise must match the + `output_type` of the agent. + """ + + +ToolsToFinalOutputFunction: TypeAlias = Callable[ + [RunContextWrapper[TContext], list[FunctionToolResult]], + MaybeAwaitable[ToolsToFinalOutputResult], +] +"""A function that takes a run context and a list of tool results, and returns a +`ToolToFinalOutputResult`. +""" + + @dataclass class Agent(Generic[TContext]): """An agent is an AI model configured with instructions, tools, guardrails, handoffs and more. @@ -95,6 +117,22 @@ class Agent(Generic[TContext]): """A class that receives callbacks on various lifecycle events for this agent. """ + tool_use_behavior: ( + Literal["run_llm_again", "stop_on_first_tool"] | ToolsToFinalOutputFunction + ) = "run_llm_again" + """This lets you configure how tool use is handled. + - "run_llm_again": The default behavior. Tools are run, and then the LLM receives the results + and gets to respond. + - "stop_on_first_tool": The output of the first tool call is used as the final output. This + means that the LLM does not process the result of the tool call. In addition, its + - A function: If you pass a function, it will be called with the run context and the list of + tool results. It must return a `ToolToFinalOutputResult`, which determines whether the tool + calls result in a final output. + + NOTE: This configuration is specific to FunctionTools. Hosted tools, such as file search, + web search, etc are always processed by the LLM. + """ + def clone(self, **kwargs: Any) -> Agent[TContext]: """Make a copy of the agent, with the given arguments changed. For example, you could do: ``` diff --git a/src/agents/items.py b/src/agents/items.py index ffbeba024..c2af0dfc6 100644 --- a/src/agents/items.py +++ b/src/agents/items.py @@ -129,8 +129,10 @@ class ToolCallOutputItem(RunItemBase[Union[FunctionCallOutput, ComputerCallOutpu raw_item: FunctionCallOutput | ComputerCallOutput """The raw item from the model.""" - output: str - """The output of the tool call.""" + output: Any + """The output of the tool call. This is whatever the tool call returned; the `raw_item` + contains a string representation of the output. + """ type: Literal["tool_call_output_item"] = "tool_call_output_item" diff --git a/src/agents/tool.py b/src/agents/tool.py index cbe879442..bd271029d 100644 --- a/src/agents/tool.py +++ b/src/agents/tool.py @@ -16,6 +16,7 @@ from .computer import AsyncComputer, Computer from .exceptions import ModelBehaviorError from .function_schema import DocstringStyle, function_schema +from .items import RunItem from .logger import logger from .run_context import RunContextWrapper from .tracing import SpanError @@ -28,6 +29,18 @@ ToolFunction = Union[ToolFunctionWithoutContext[ToolParams], ToolFunctionWithContext[ToolParams]] +@dataclass +class FunctionToolResult: + tool: FunctionTool + """The tool that was run.""" + + output: Any + """The output of the tool.""" + + run_item: RunItem + """The run item that was produced as a result of the tool call.""" + + @dataclass class FunctionTool: """A tool that wraps a function. In most cases, you should use the `function_tool` helpers to @@ -43,15 +56,15 @@ class FunctionTool: params_json_schema: dict[str, Any] """The JSON schema for the tool's parameters.""" - on_invoke_tool: Callable[[RunContextWrapper[Any], str], Awaitable[str]] + on_invoke_tool: Callable[[RunContextWrapper[Any], str], Awaitable[Any]] """A function that invokes the tool with the given context and parameters. The params passed are: 1. The tool run context. 2. The arguments from the LLM, as a JSON string. - You must return a string representation of the tool output. In case of errors, you can either - raise an Exception (which will cause the run to fail) or return a string error message (which - will be sent back to the LLM). + You must return a string representation of the tool output, or something we can call `str()` on. + In case of errors, you can either raise an Exception (which will cause the run to fail) or + return a string error message (which will be sent back to the LLM). """ strict_json_schema: bool = True @@ -203,7 +216,7 @@ def _create_function_tool(the_func: ToolFunction[...]) -> FunctionTool: strict_json_schema=strict_mode, ) - async def _on_invoke_tool_impl(ctx: RunContextWrapper[Any], input: str) -> str: + async def _on_invoke_tool_impl(ctx: RunContextWrapper[Any], input: str) -> Any: try: json_data: dict[str, Any] = json.loads(input) if input else {} except Exception as e: @@ -250,9 +263,9 @@ async def _on_invoke_tool_impl(ctx: RunContextWrapper[Any], input: str) -> str: else: logger.debug(f"Tool {schema.name} returned {result}") - return str(result) + return result - async def _on_invoke_tool(ctx: RunContextWrapper[Any], input: str) -> str: + async def _on_invoke_tool(ctx: RunContextWrapper[Any], input: str) -> Any: try: return await _on_invoke_tool_impl(ctx, input) except Exception as e: diff --git a/src/agents/tracing/span_data.py b/src/agents/tracing/span_data.py index 5e5d38cbf..1a49d8e6f 100644 --- a/src/agents/tracing/span_data.py +++ b/src/agents/tracing/span_data.py @@ -51,7 +51,7 @@ def export(self) -> dict[str, Any]: class FunctionSpanData(SpanData): __slots__ = ("name", "input", "output") - def __init__(self, name: str, input: str | None, output: str | None): + def __init__(self, name: str, input: str | None, output: Any | None): self.name = name self.input = input self.output = output @@ -65,7 +65,7 @@ def export(self) -> dict[str, Any]: "type": self.type, "name": self.name, "input": self.input, - "output": self.output, + "output": str(self.output) if self.output else None, } diff --git a/tests/test_agent_runner.py b/tests/test_agent_runner.py index c124915a7..e8e060fd5 100644 --- a/tests/test_agent_runner.py +++ b/tests/test_agent_runner.py @@ -21,6 +21,8 @@ UserError, handoff, ) +from agents.agent import ToolsToFinalOutputResult +from agents.tool import FunctionToolResult, function_tool from .fake_model import FakeModel from .test_responses import ( @@ -552,3 +554,83 @@ def guardrail_function( with pytest.raises(OutputGuardrailTripwireTriggered): await Runner.run(agent, input="user_message") + + +@function_tool +def test_tool_one(): + return Foo(bar="tool_one_result") + + +@function_tool +def test_tool_two(): + return "tool_two_result" + + +@pytest.mark.asyncio +async def test_tool_use_behavior_first_output(): + model = FakeModel() + agent = Agent( + name="test", + model=model, + tools=[get_function_tool("foo", "tool_result"), test_tool_one, test_tool_two], + tool_use_behavior="stop_on_first_tool", + output_type=Foo, + ) + + model.add_multiple_turn_outputs( + [ + # First turn: a message and tool call + [ + get_text_message("a_message"), + get_function_tool_call("test_tool_one", None), + get_function_tool_call("test_tool_two", None), + ], + ] + ) + + result = await Runner.run(agent, input="user_message") + + assert result.final_output == Foo(bar="tool_one_result"), ( + "should have used the first tool result" + ) + + +def custom_tool_use_behavior( + context: RunContextWrapper[Any], results: list[FunctionToolResult] +) -> ToolsToFinalOutputResult: + if "test_tool_one" in [result.tool.name for result in results]: + return ToolsToFinalOutputResult(is_final_output=True, final_output="the_final_output") + else: + return ToolsToFinalOutputResult(is_final_output=False, final_output=None) + + +@pytest.mark.asyncio +async def test_tool_use_behavior_custom_function(): + model = FakeModel() + agent = Agent( + name="test", + model=model, + tools=[get_function_tool("foo", "tool_result"), test_tool_one, test_tool_two], + tool_use_behavior=custom_tool_use_behavior, + ) + + model.add_multiple_turn_outputs( + [ + # First turn: a message and tool call + [ + get_text_message("a_message"), + get_function_tool_call("test_tool_two", None), + ], + # Second turn: a message and tool call + [ + get_text_message("a_message"), + get_function_tool_call("test_tool_one", None), + get_function_tool_call("test_tool_two", None), + ], + ] + ) + + result = await Runner.run(agent, input="user_message") + + assert len(result.raw_responses) == 2, "should have two model responses" + assert result.final_output == "the_final_output", "should have used the custom function" diff --git a/tests/test_function_tool.py b/tests/test_function_tool.py index 6a78309b5..0a57aea87 100644 --- a/tests/test_function_tool.py +++ b/tests/test_function_tool.py @@ -49,10 +49,10 @@ async def test_simple_function(): assert tool.name == "simple_function" result = await tool.on_invoke_tool(RunContextWrapper(None), '{"a": 1}') - assert result == "6" + assert result == 6 result = await tool.on_invoke_tool(RunContextWrapper(None), '{"a": 1, "b": 2}') - assert result == "3" + assert result == 3 # Missing required argument should raise an error with pytest.raises(ModelBehaviorError): diff --git a/tests/test_tool_use_behavior.py b/tests/test_tool_use_behavior.py new file mode 100644 index 000000000..875e98a23 --- /dev/null +++ b/tests/test_tool_use_behavior.py @@ -0,0 +1,152 @@ +# Copyright + +from __future__ import annotations + +from typing import cast + +import pytest +from openai.types.responses.response_input_item_param import FunctionCallOutput + +from agents import ( + Agent, + FunctionToolResult, + RunConfig, + RunContextWrapper, + ToolCallOutputItem, + ToolsToFinalOutputResult, + UserError, +) +from agents._run_impl import RunImpl + +from .test_responses import get_function_tool + + +def _make_function_tool_result(agent: Agent, output: str) -> FunctionToolResult: + # Construct a FunctionToolResult with the given output using a simple function tool. + tool = get_function_tool("dummy", return_value=output) + raw_item: FunctionCallOutput = cast( + FunctionCallOutput, + { + "call_id": "1", + "output": output, + "type": "function_call_output", + }, + ) + # For this test we don't care about the specific RunItem subclass, only the output field + run_item = ToolCallOutputItem(agent=agent, raw_item=raw_item, output=output) + return FunctionToolResult(tool=tool, output=output, run_item=run_item) + + +@pytest.mark.asyncio +async def test_no_tool_results_returns_not_final_output() -> None: + # If there are no tool results at all, tool_use_behavior should not produce a final output. + agent = Agent(name="test") + result = await RunImpl._check_for_final_output_from_tools( + agent=agent, + tool_results=[], + context_wrapper=RunContextWrapper(context=None), + config=RunConfig(), + ) + assert result.is_final_output is False + assert result.final_output is None + + +@pytest.mark.asyncio +async def test_run_llm_again_behavior() -> None: + # With the default run_llm_again behavior, even with tools we still expect to keep running. + agent = Agent(name="test", tool_use_behavior="run_llm_again") + tool_results = [_make_function_tool_result(agent, "ignored")] + result = await RunImpl._check_for_final_output_from_tools( + agent=agent, + tool_results=tool_results, + context_wrapper=RunContextWrapper(context=None), + config=RunConfig(), + ) + assert result.is_final_output is False + assert result.final_output is None + + +@pytest.mark.asyncio +async def test_stop_on_first_tool_behavior() -> None: + # When tool_use_behavior is stop_on_first_tool, we should surface first tool output as final. + agent = Agent(name="test", tool_use_behavior="stop_on_first_tool") + tool_results = [ + _make_function_tool_result(agent, "first_tool_output"), + _make_function_tool_result(agent, "ignored"), + ] + result = await RunImpl._check_for_final_output_from_tools( + agent=agent, + tool_results=tool_results, + context_wrapper=RunContextWrapper(context=None), + config=RunConfig(), + ) + assert result.is_final_output is True + assert result.final_output == "first_tool_output" + + +@pytest.mark.asyncio +async def test_custom_tool_use_behavior_sync() -> None: + """If tool_use_behavior is a sync function, we should call it and propagate its return.""" + + def behavior( + context: RunContextWrapper, results: list[FunctionToolResult] + ) -> ToolsToFinalOutputResult: + assert len(results) == 3 + return ToolsToFinalOutputResult(is_final_output=True, final_output="custom") + + agent = Agent(name="test", tool_use_behavior=behavior) + tool_results = [ + _make_function_tool_result(agent, "ignored1"), + _make_function_tool_result(agent, "ignored2"), + _make_function_tool_result(agent, "ignored3"), + ] + result = await RunImpl._check_for_final_output_from_tools( + agent=agent, + tool_results=tool_results, + context_wrapper=RunContextWrapper(context=None), + config=RunConfig(), + ) + assert result.is_final_output is True + assert result.final_output == "custom" + + +@pytest.mark.asyncio +async def test_custom_tool_use_behavior_async() -> None: + """If tool_use_behavior is an async function, we should await it and propagate its return.""" + + async def behavior( + context: RunContextWrapper, results: list[FunctionToolResult] + ) -> ToolsToFinalOutputResult: + assert len(results) == 3 + return ToolsToFinalOutputResult(is_final_output=True, final_output="async_custom") + + agent = Agent(name="test", tool_use_behavior=behavior) + tool_results = [ + _make_function_tool_result(agent, "ignored1"), + _make_function_tool_result(agent, "ignored2"), + _make_function_tool_result(agent, "ignored3"), + ] + result = await RunImpl._check_for_final_output_from_tools( + agent=agent, + tool_results=tool_results, + context_wrapper=RunContextWrapper(context=None), + config=RunConfig(), + ) + assert result.is_final_output is True + assert result.final_output == "async_custom" + + +@pytest.mark.asyncio +async def test_invalid_tool_use_behavior_raises() -> None: + """If tool_use_behavior is invalid, we should raise a UserError.""" + agent = Agent(name="test") + # Force an invalid value; mypy will complain, so ignore the type here. + agent.tool_use_behavior = "bad_value" # type: ignore[assignment] + tool_results = [_make_function_tool_result(agent, "ignored")] + with pytest.raises(UserError): + await RunImpl._check_for_final_output_from_tools( + agent=agent, + tool_results=tool_results, + context_wrapper=RunContextWrapper(context=None), + config=RunConfig(), + ) From c319539c9df8e8f3a681955325d9efb0bf0eec98 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 17 Mar 2025 14:35:40 -0400 Subject: [PATCH 006/337] Introduce tool_use_behavior on agents --- docs/agents.md | 13 +++ src/agents/__init__.py | 6 +- src/agents/_run_impl.py | 85 +++++++++++++++--- src/agents/items.py | 6 +- src/agents/tool.py | 27 ++++-- src/agents/tracing/span_data.py | 4 +- tests/test_agent_runner.py | 82 +++++++++++++++++ tests/test_function_tool.py | 4 +- tests/test_tool_use_behavior.py | 152 ++++++++++++++++++++++++++++++++ 9 files changed, 355 insertions(+), 24 deletions(-) create mode 100644 tests/test_tool_use_behavior.py diff --git a/docs/agents.md b/docs/agents.md index 17589b3db..1c3147390 100644 --- a/docs/agents.md +++ b/docs/agents.md @@ -130,3 +130,16 @@ robot_agent = pirate_agent.clone( instructions="Write like a robot", ) ``` + +## Forcing tool use + +Supplying a list of tools doesn't always mean the LLM will use a tool. You can force tool use by setting [`ModelSettings.tool_choice`][agents.model_settings.ModelSettings.tool_choice]. Valid values are: + +1. `auto`, which allows the LLM to decide whether or not to use a tool. +2. `required`, which requires the LLM to use a tool (but it can intelligently decide which tool). +3. `none`, which requires the LLM to _not_ use a tool. +4. Setting a specific string e.g. `my_tool`, which requires the LLM to use that specific tool. + +!!! note + + If requiring tool use, you should consider setting [`Agent.tool_use_behavior`] to stop the Agent from running when a tool output is produced. Otherwise, the Agent might run in an infinite loop, where the LLM produces a tool call , and the tool result is sent to the LLM, and this infinite loops because the LLM is always forced to use a tool. diff --git a/src/agents/__init__.py b/src/agents/__init__.py index a2d7f247b..11720bbca 100644 --- a/src/agents/__init__.py +++ b/src/agents/__init__.py @@ -5,7 +5,7 @@ from openai import AsyncOpenAI from . import _config -from .agent import Agent +from .agent import Agent, ToolsToFinalOutputFunction, ToolsToFinalOutputResult from .agent_output import AgentOutputSchema from .computer import AsyncComputer, Button, Computer, Environment from .exceptions import ( @@ -57,6 +57,7 @@ ComputerTool, FileSearchTool, FunctionTool, + FunctionToolResult, Tool, WebSearchTool, default_tool_error_function, @@ -136,6 +137,8 @@ def enable_verbose_stdout_logging(): __all__ = [ "Agent", + "ToolsToFinalOutputFunction", + "ToolsToFinalOutputResult", "Runner", "Model", "ModelProvider", @@ -189,6 +192,7 @@ def enable_verbose_stdout_logging(): "AgentUpdatedStreamEvent", "StreamEvent", "FunctionTool", + "FunctionToolResult", "ComputerTool", "FileSearchTool", "Tool", diff --git a/src/agents/_run_impl.py b/src/agents/_run_impl.py index c0c0ebd0d..890c4e2ee 100644 --- a/src/agents/_run_impl.py +++ b/src/agents/_run_impl.py @@ -1,8 +1,10 @@ from __future__ import annotations import asyncio +import inspect +from collections.abc import Awaitable from dataclasses import dataclass -from typing import TYPE_CHECKING, Any +from typing import TYPE_CHECKING, Any, cast from openai.types.responses import ( ResponseComputerToolCall, @@ -25,7 +27,7 @@ from openai.types.responses.response_input_param import ComputerCallOutput from openai.types.responses.response_reasoning_item import ResponseReasoningItem -from .agent import Agent +from .agent import Agent, ToolsToFinalOutputResult from .agent_output import AgentOutputSchema from .computer import AsyncComputer, Computer from .exceptions import AgentsException, ModelBehaviorError, UserError @@ -48,7 +50,7 @@ from .models.interface import ModelTracing from .run_context import RunContextWrapper, TContext from .stream_events import RunItemStreamEvent, StreamEvent -from .tool import ComputerTool, FunctionTool +from .tool import ComputerTool, FunctionTool, FunctionToolResult from .tracing import ( SpanError, Trace, @@ -70,6 +72,8 @@ class QueueCompleteSentinel: QUEUE_COMPLETE_SENTINEL = QueueCompleteSentinel() +_NOT_FINAL_OUTPUT = ToolsToFinalOutputResult(is_final_output=False, final_output=None) + @dataclass class ToolRunHandoff: @@ -199,7 +203,7 @@ async def execute_tools_and_side_effects( config=run_config, ), ) - new_step_items.extend(function_results) + new_step_items.extend([result.run_item for result in function_results]) new_step_items.extend(computer_results) # Second, check if there are any handoffs @@ -216,6 +220,30 @@ async def execute_tools_and_side_effects( run_config=run_config, ) + # Third, we'll check if the tool use should result in a final output + check_tool_use = await cls._check_for_final_output_from_tools( + agent=agent, + tool_results=function_results, + context_wrapper=context_wrapper, + config=run_config, + ) + + if check_tool_use.is_final_output: + # If the output type is str, then let's just stringify it + if not agent.output_type or agent.output_type is str: + check_tool_use.final_output = str(check_tool_use.final_output) + + return await cls.execute_final_output( + agent=agent, + original_input=original_input, + new_response=new_response, + pre_step_items=pre_step_items, + new_step_items=new_step_items, + final_output=check_tool_use.final_output, + hooks=hooks, + context_wrapper=context_wrapper, + ) + # Now we can check if the model also produced a final output message_items = [item for item in new_step_items if isinstance(item, MessageOutputItem)] @@ -355,10 +383,10 @@ async def execute_function_tool_calls( hooks: RunHooks[TContext], context_wrapper: RunContextWrapper[TContext], config: RunConfig, - ) -> list[RunItem]: + ) -> list[FunctionToolResult]: async def run_single_tool( func_tool: FunctionTool, tool_call: ResponseFunctionToolCall - ) -> str: + ) -> Any: with function_span(func_tool.name) as span_fn: if config.trace_include_sensitive_data: span_fn.span_data.input = tool_call.arguments @@ -404,10 +432,14 @@ async def run_single_tool( results = await asyncio.gather(*tasks) return [ - ToolCallOutputItem( - output=str(result), - raw_item=ItemHelpers.tool_call_output_item(tool_run.tool_call, str(result)), - agent=agent, + FunctionToolResult( + tool=tool_run.function_tool, + output=result, + run_item=ToolCallOutputItem( + output=result, + raw_item=ItemHelpers.tool_call_output_item(tool_run.tool_call, str(result)), + agent=agent, + ), ) for tool_run, result in zip(tool_runs, results) ] @@ -646,6 +678,39 @@ def stream_step_result_to_queue( if event: queue.put_nowait(event) + @classmethod + async def _check_for_final_output_from_tools( + cls, + *, + agent: Agent[TContext], + tool_results: list[FunctionToolResult], + context_wrapper: RunContextWrapper[TContext], + config: RunConfig, + ) -> ToolsToFinalOutputResult: + """Returns (i, final_output).""" + if not tool_results: + return _NOT_FINAL_OUTPUT + + if agent.tool_use_behavior == "run_llm_again": + return _NOT_FINAL_OUTPUT + elif agent.tool_use_behavior == "stop_on_first_tool": + return ToolsToFinalOutputResult( + is_final_output=True, final_output=tool_results[0].output + ) + elif callable(agent.tool_use_behavior): + if inspect.iscoroutinefunction(agent.tool_use_behavior): + return await cast( + Awaitable[ToolsToFinalOutputResult], + agent.tool_use_behavior(context_wrapper, tool_results), + ) + else: + return cast( + ToolsToFinalOutputResult, agent.tool_use_behavior(context_wrapper, tool_results) + ) + else: + logger.error(f"Invalid tool_use_behavior: {agent.tool_use_behavior}") + raise UserError(f"Invalid tool_use_behavior: {agent.tool_use_behavior}") + class TraceCtxManager: """Creates a trace only if there is no current trace, and manages the trace lifecycle.""" diff --git a/src/agents/items.py b/src/agents/items.py index ffbeba024..c2af0dfc6 100644 --- a/src/agents/items.py +++ b/src/agents/items.py @@ -129,8 +129,10 @@ class ToolCallOutputItem(RunItemBase[Union[FunctionCallOutput, ComputerCallOutpu raw_item: FunctionCallOutput | ComputerCallOutput """The raw item from the model.""" - output: str - """The output of the tool call.""" + output: Any + """The output of the tool call. This is whatever the tool call returned; the `raw_item` + contains a string representation of the output. + """ type: Literal["tool_call_output_item"] = "tool_call_output_item" diff --git a/src/agents/tool.py b/src/agents/tool.py index 0baf2c0ce..126e719a1 100644 --- a/src/agents/tool.py +++ b/src/agents/tool.py @@ -15,6 +15,7 @@ from .computer import AsyncComputer, Computer from .exceptions import ModelBehaviorError from .function_schema import DocstringStyle, function_schema +from .items import RunItem from .logger import logger from .run_context import RunContextWrapper from .tracing import SpanError @@ -29,6 +30,18 @@ ToolFunction = Union[ToolFunctionWithoutContext[ToolParams], ToolFunctionWithContext[ToolParams]] +@dataclass +class FunctionToolResult: + tool: FunctionTool + """The tool that was run.""" + + output: Any + """The output of the tool.""" + + run_item: RunItem + """The run item that was produced as a result of the tool call.""" + + @dataclass class FunctionTool: """A tool that wraps a function. In most cases, you should use the `function_tool` helpers to @@ -44,15 +57,15 @@ class FunctionTool: params_json_schema: dict[str, Any] """The JSON schema for the tool's parameters.""" - on_invoke_tool: Callable[[RunContextWrapper[Any], str], Awaitable[str]] + on_invoke_tool: Callable[[RunContextWrapper[Any], str], Awaitable[Any]] """A function that invokes the tool with the given context and parameters. The params passed are: 1. The tool run context. 2. The arguments from the LLM, as a JSON string. - You must return a string representation of the tool output. In case of errors, you can either - raise an Exception (which will cause the run to fail) or return a string error message (which - will be sent back to the LLM). + You must return a string representation of the tool output, or something we can call `str()` on. + In case of errors, you can either raise an Exception (which will cause the run to fail) or + return a string error message (which will be sent back to the LLM). """ strict_json_schema: bool = True @@ -204,7 +217,7 @@ def _create_function_tool(the_func: ToolFunction[...]) -> FunctionTool: strict_json_schema=strict_mode, ) - async def _on_invoke_tool_impl(ctx: RunContextWrapper[Any], input: str) -> str: + async def _on_invoke_tool_impl(ctx: RunContextWrapper[Any], input: str) -> Any: try: json_data: dict[str, Any] = json.loads(input) if input else {} except Exception as e: @@ -251,9 +264,9 @@ async def _on_invoke_tool_impl(ctx: RunContextWrapper[Any], input: str) -> str: else: logger.debug(f"Tool {schema.name} returned {result}") - return str(result) + return result - async def _on_invoke_tool(ctx: RunContextWrapper[Any], input: str) -> str: + async def _on_invoke_tool(ctx: RunContextWrapper[Any], input: str) -> Any: try: return await _on_invoke_tool_impl(ctx, input) except Exception as e: diff --git a/src/agents/tracing/span_data.py b/src/agents/tracing/span_data.py index 5e5d38cbf..1a49d8e6f 100644 --- a/src/agents/tracing/span_data.py +++ b/src/agents/tracing/span_data.py @@ -51,7 +51,7 @@ def export(self) -> dict[str, Any]: class FunctionSpanData(SpanData): __slots__ = ("name", "input", "output") - def __init__(self, name: str, input: str | None, output: str | None): + def __init__(self, name: str, input: str | None, output: Any | None): self.name = name self.input = input self.output = output @@ -65,7 +65,7 @@ def export(self) -> dict[str, Any]: "type": self.type, "name": self.name, "input": self.input, - "output": self.output, + "output": str(self.output) if self.output else None, } diff --git a/tests/test_agent_runner.py b/tests/test_agent_runner.py index c124915a7..e8e060fd5 100644 --- a/tests/test_agent_runner.py +++ b/tests/test_agent_runner.py @@ -21,6 +21,8 @@ UserError, handoff, ) +from agents.agent import ToolsToFinalOutputResult +from agents.tool import FunctionToolResult, function_tool from .fake_model import FakeModel from .test_responses import ( @@ -552,3 +554,83 @@ def guardrail_function( with pytest.raises(OutputGuardrailTripwireTriggered): await Runner.run(agent, input="user_message") + + +@function_tool +def test_tool_one(): + return Foo(bar="tool_one_result") + + +@function_tool +def test_tool_two(): + return "tool_two_result" + + +@pytest.mark.asyncio +async def test_tool_use_behavior_first_output(): + model = FakeModel() + agent = Agent( + name="test", + model=model, + tools=[get_function_tool("foo", "tool_result"), test_tool_one, test_tool_two], + tool_use_behavior="stop_on_first_tool", + output_type=Foo, + ) + + model.add_multiple_turn_outputs( + [ + # First turn: a message and tool call + [ + get_text_message("a_message"), + get_function_tool_call("test_tool_one", None), + get_function_tool_call("test_tool_two", None), + ], + ] + ) + + result = await Runner.run(agent, input="user_message") + + assert result.final_output == Foo(bar="tool_one_result"), ( + "should have used the first tool result" + ) + + +def custom_tool_use_behavior( + context: RunContextWrapper[Any], results: list[FunctionToolResult] +) -> ToolsToFinalOutputResult: + if "test_tool_one" in [result.tool.name for result in results]: + return ToolsToFinalOutputResult(is_final_output=True, final_output="the_final_output") + else: + return ToolsToFinalOutputResult(is_final_output=False, final_output=None) + + +@pytest.mark.asyncio +async def test_tool_use_behavior_custom_function(): + model = FakeModel() + agent = Agent( + name="test", + model=model, + tools=[get_function_tool("foo", "tool_result"), test_tool_one, test_tool_two], + tool_use_behavior=custom_tool_use_behavior, + ) + + model.add_multiple_turn_outputs( + [ + # First turn: a message and tool call + [ + get_text_message("a_message"), + get_function_tool_call("test_tool_two", None), + ], + # Second turn: a message and tool call + [ + get_text_message("a_message"), + get_function_tool_call("test_tool_one", None), + get_function_tool_call("test_tool_two", None), + ], + ] + ) + + result = await Runner.run(agent, input="user_message") + + assert len(result.raw_responses) == 2, "should have two model responses" + assert result.final_output == "the_final_output", "should have used the custom function" diff --git a/tests/test_function_tool.py b/tests/test_function_tool.py index 6a78309b5..0a57aea87 100644 --- a/tests/test_function_tool.py +++ b/tests/test_function_tool.py @@ -49,10 +49,10 @@ async def test_simple_function(): assert tool.name == "simple_function" result = await tool.on_invoke_tool(RunContextWrapper(None), '{"a": 1}') - assert result == "6" + assert result == 6 result = await tool.on_invoke_tool(RunContextWrapper(None), '{"a": 1, "b": 2}') - assert result == "3" + assert result == 3 # Missing required argument should raise an error with pytest.raises(ModelBehaviorError): diff --git a/tests/test_tool_use_behavior.py b/tests/test_tool_use_behavior.py new file mode 100644 index 000000000..875e98a23 --- /dev/null +++ b/tests/test_tool_use_behavior.py @@ -0,0 +1,152 @@ +# Copyright + +from __future__ import annotations + +from typing import cast + +import pytest +from openai.types.responses.response_input_item_param import FunctionCallOutput + +from agents import ( + Agent, + FunctionToolResult, + RunConfig, + RunContextWrapper, + ToolCallOutputItem, + ToolsToFinalOutputResult, + UserError, +) +from agents._run_impl import RunImpl + +from .test_responses import get_function_tool + + +def _make_function_tool_result(agent: Agent, output: str) -> FunctionToolResult: + # Construct a FunctionToolResult with the given output using a simple function tool. + tool = get_function_tool("dummy", return_value=output) + raw_item: FunctionCallOutput = cast( + FunctionCallOutput, + { + "call_id": "1", + "output": output, + "type": "function_call_output", + }, + ) + # For this test we don't care about the specific RunItem subclass, only the output field + run_item = ToolCallOutputItem(agent=agent, raw_item=raw_item, output=output) + return FunctionToolResult(tool=tool, output=output, run_item=run_item) + + +@pytest.mark.asyncio +async def test_no_tool_results_returns_not_final_output() -> None: + # If there are no tool results at all, tool_use_behavior should not produce a final output. + agent = Agent(name="test") + result = await RunImpl._check_for_final_output_from_tools( + agent=agent, + tool_results=[], + context_wrapper=RunContextWrapper(context=None), + config=RunConfig(), + ) + assert result.is_final_output is False + assert result.final_output is None + + +@pytest.mark.asyncio +async def test_run_llm_again_behavior() -> None: + # With the default run_llm_again behavior, even with tools we still expect to keep running. + agent = Agent(name="test", tool_use_behavior="run_llm_again") + tool_results = [_make_function_tool_result(agent, "ignored")] + result = await RunImpl._check_for_final_output_from_tools( + agent=agent, + tool_results=tool_results, + context_wrapper=RunContextWrapper(context=None), + config=RunConfig(), + ) + assert result.is_final_output is False + assert result.final_output is None + + +@pytest.mark.asyncio +async def test_stop_on_first_tool_behavior() -> None: + # When tool_use_behavior is stop_on_first_tool, we should surface first tool output as final. + agent = Agent(name="test", tool_use_behavior="stop_on_first_tool") + tool_results = [ + _make_function_tool_result(agent, "first_tool_output"), + _make_function_tool_result(agent, "ignored"), + ] + result = await RunImpl._check_for_final_output_from_tools( + agent=agent, + tool_results=tool_results, + context_wrapper=RunContextWrapper(context=None), + config=RunConfig(), + ) + assert result.is_final_output is True + assert result.final_output == "first_tool_output" + + +@pytest.mark.asyncio +async def test_custom_tool_use_behavior_sync() -> None: + """If tool_use_behavior is a sync function, we should call it and propagate its return.""" + + def behavior( + context: RunContextWrapper, results: list[FunctionToolResult] + ) -> ToolsToFinalOutputResult: + assert len(results) == 3 + return ToolsToFinalOutputResult(is_final_output=True, final_output="custom") + + agent = Agent(name="test", tool_use_behavior=behavior) + tool_results = [ + _make_function_tool_result(agent, "ignored1"), + _make_function_tool_result(agent, "ignored2"), + _make_function_tool_result(agent, "ignored3"), + ] + result = await RunImpl._check_for_final_output_from_tools( + agent=agent, + tool_results=tool_results, + context_wrapper=RunContextWrapper(context=None), + config=RunConfig(), + ) + assert result.is_final_output is True + assert result.final_output == "custom" + + +@pytest.mark.asyncio +async def test_custom_tool_use_behavior_async() -> None: + """If tool_use_behavior is an async function, we should await it and propagate its return.""" + + async def behavior( + context: RunContextWrapper, results: list[FunctionToolResult] + ) -> ToolsToFinalOutputResult: + assert len(results) == 3 + return ToolsToFinalOutputResult(is_final_output=True, final_output="async_custom") + + agent = Agent(name="test", tool_use_behavior=behavior) + tool_results = [ + _make_function_tool_result(agent, "ignored1"), + _make_function_tool_result(agent, "ignored2"), + _make_function_tool_result(agent, "ignored3"), + ] + result = await RunImpl._check_for_final_output_from_tools( + agent=agent, + tool_results=tool_results, + context_wrapper=RunContextWrapper(context=None), + config=RunConfig(), + ) + assert result.is_final_output is True + assert result.final_output == "async_custom" + + +@pytest.mark.asyncio +async def test_invalid_tool_use_behavior_raises() -> None: + """If tool_use_behavior is invalid, we should raise a UserError.""" + agent = Agent(name="test") + # Force an invalid value; mypy will complain, so ignore the type here. + agent.tool_use_behavior = "bad_value" # type: ignore[assignment] + tool_results = [_make_function_tool_result(agent, "ignored")] + with pytest.raises(UserError): + await RunImpl._check_for_final_output_from_tools( + agent=agent, + tool_results=tool_results, + context_wrapper=RunContextWrapper(context=None), + config=RunConfig(), + ) From b6b280ca92ce7f1f6af79b9e4d789ae8f19b7a2f Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 17 Mar 2025 14:35:40 -0400 Subject: [PATCH 007/337] Introduce tool_use_behavior on agents --- docs/agents.md | 13 ++ examples/agent_patterns/forcing_tool_use.py | 97 +++++++++++++ examples/basic/tools.py | 34 +++++ src/agents/__init__.py | 6 +- src/agents/_run_impl.py | 85 +++++++++-- src/agents/agent.py | 42 +++++- src/agents/items.py | 6 +- src/agents/tool.py | 27 +++- src/agents/tracing/span_data.py | 4 +- tests/test_agent_runner.py | 82 +++++++++++ tests/test_function_tool.py | 4 +- tests/test_tool_use_behavior.py | 152 ++++++++++++++++++++ 12 files changed, 526 insertions(+), 26 deletions(-) create mode 100644 examples/agent_patterns/forcing_tool_use.py create mode 100644 examples/basic/tools.py create mode 100644 tests/test_tool_use_behavior.py diff --git a/docs/agents.md b/docs/agents.md index 17589b3db..1c3147390 100644 --- a/docs/agents.md +++ b/docs/agents.md @@ -130,3 +130,16 @@ robot_agent = pirate_agent.clone( instructions="Write like a robot", ) ``` + +## Forcing tool use + +Supplying a list of tools doesn't always mean the LLM will use a tool. You can force tool use by setting [`ModelSettings.tool_choice`][agents.model_settings.ModelSettings.tool_choice]. Valid values are: + +1. `auto`, which allows the LLM to decide whether or not to use a tool. +2. `required`, which requires the LLM to use a tool (but it can intelligently decide which tool). +3. `none`, which requires the LLM to _not_ use a tool. +4. Setting a specific string e.g. `my_tool`, which requires the LLM to use that specific tool. + +!!! note + + If requiring tool use, you should consider setting [`Agent.tool_use_behavior`] to stop the Agent from running when a tool output is produced. Otherwise, the Agent might run in an infinite loop, where the LLM produces a tool call , and the tool result is sent to the LLM, and this infinite loops because the LLM is always forced to use a tool. diff --git a/examples/agent_patterns/forcing_tool_use.py b/examples/agent_patterns/forcing_tool_use.py new file mode 100644 index 000000000..9892f9e83 --- /dev/null +++ b/examples/agent_patterns/forcing_tool_use.py @@ -0,0 +1,97 @@ +import asyncio +from typing import Any, Literal + +from pydantic import BaseModel + +from agents import ( + Agent, + FunctionToolResult, + ModelSettings, + RunContextWrapper, + Runner, + ToolsToFinalOutputFunction, + ToolsToFinalOutputResult, + function_tool, +) + +""" +This example shows how to force the agent to use a tool. It uses `ModelSettings(tool_choice="required")` +to force the agent to use any tool. + +You can run it with 3 options: +1. `default`: The default behavior, which is to send the tool output to the LLM. In this case, + `tool_choice` is not set, because otherwise it would result in an infinite loop - the LLM would + call the tool, the tool would run and send the results to the LLM, and that would repeat + (because the model is forced to use a tool every time.) +2. `first_tool_result`: The first tool result is used as the final output. +3. `custom`: A custom tool use behavior function is used. The custom function receives all the tool + results, and chooses to use the first tool result to generate the final output. + +Usage: +python examples/agent_patterns/forcing_tool_use.py -t default +python examples/agent_patterns/forcing_tool_use.py -t first_tool +python examples/agent_patterns/forcing_tool_use.py -t custom +""" + + +class Weather(BaseModel): + city: str + temperature_range: str + conditions: str + + +@function_tool +def get_weather(city: str) -> Weather: + print("[debug] get_weather called") + return Weather(city=city, temperature_range="14-20C", conditions="Sunny with wind") + + +async def custom_tool_use_behavior( + context: RunContextWrapper[Any], results: list[FunctionToolResult] +) -> ToolsToFinalOutputResult: + weather: Weather = results[0].output + return ToolsToFinalOutputResult( + is_final_output=True, final_output=f"{weather.city} is {weather.conditions}." + ) + + +async def main(tool_use_behavior: Literal["default", "first_tool", "custom"] = "default"): + if tool_use_behavior == "default": + behavior: Literal["run_llm_again", "stop_on_first_tool"] | ToolsToFinalOutputFunction = ( + "run_llm_again" + ) + elif tool_use_behavior == "first_tool": + behavior = "stop_on_first_tool" + elif tool_use_behavior == "custom": + behavior = custom_tool_use_behavior + + agent = Agent( + name="Weather agent", + instructions="You are a helpful agent.", + tools=[get_weather], + tool_use_behavior=behavior, + model_settings=ModelSettings( + tool_choice="required" if tool_use_behavior != "default" else None + ), + ) + + result = await Runner.run(agent, input="What's the weather in Tokyo?") + print(result.final_output) + + +if __name__ == "__main__": + import argparse + + parser = argparse.ArgumentParser() + parser.add_argument( + "-t", + "--tool-use-behavior", + type=str, + required=True, + choices=["default", "first_tool", "custom"], + help="The behavior to use for tool use. Default will cause tool outputs to be sent to the model. " + "first_tool_result will cause the first tool result to be used as the final output. " + "custom will use a custom tool use behavior function.", + ) + args = parser.parse_args() + asyncio.run(main(args.tool_use_behavior)) diff --git a/examples/basic/tools.py b/examples/basic/tools.py new file mode 100644 index 000000000..8936065a5 --- /dev/null +++ b/examples/basic/tools.py @@ -0,0 +1,34 @@ +import asyncio + +from pydantic import BaseModel + +from agents import Agent, Runner, function_tool + + +class Weather(BaseModel): + city: str + temperature_range: str + conditions: str + + +@function_tool +def get_weather(city: str) -> Weather: + print("[debug] get_weather called") + return Weather(city=city, temperature_range="14-20C", conditions="Sunny with wind.") + + +agent = Agent( + name="Hello world", + instructions="You are a helpful agent.", + tools=[get_weather], +) + + +async def main(): + result = await Runner.run(agent, input="What's the weather in Tokyo?") + print(result.final_output) + # The weather in Tokyo is sunny. + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/src/agents/__init__.py b/src/agents/__init__.py index a2d7f247b..11720bbca 100644 --- a/src/agents/__init__.py +++ b/src/agents/__init__.py @@ -5,7 +5,7 @@ from openai import AsyncOpenAI from . import _config -from .agent import Agent +from .agent import Agent, ToolsToFinalOutputFunction, ToolsToFinalOutputResult from .agent_output import AgentOutputSchema from .computer import AsyncComputer, Button, Computer, Environment from .exceptions import ( @@ -57,6 +57,7 @@ ComputerTool, FileSearchTool, FunctionTool, + FunctionToolResult, Tool, WebSearchTool, default_tool_error_function, @@ -136,6 +137,8 @@ def enable_verbose_stdout_logging(): __all__ = [ "Agent", + "ToolsToFinalOutputFunction", + "ToolsToFinalOutputResult", "Runner", "Model", "ModelProvider", @@ -189,6 +192,7 @@ def enable_verbose_stdout_logging(): "AgentUpdatedStreamEvent", "StreamEvent", "FunctionTool", + "FunctionToolResult", "ComputerTool", "FileSearchTool", "Tool", diff --git a/src/agents/_run_impl.py b/src/agents/_run_impl.py index c0c0ebd0d..890c4e2ee 100644 --- a/src/agents/_run_impl.py +++ b/src/agents/_run_impl.py @@ -1,8 +1,10 @@ from __future__ import annotations import asyncio +import inspect +from collections.abc import Awaitable from dataclasses import dataclass -from typing import TYPE_CHECKING, Any +from typing import TYPE_CHECKING, Any, cast from openai.types.responses import ( ResponseComputerToolCall, @@ -25,7 +27,7 @@ from openai.types.responses.response_input_param import ComputerCallOutput from openai.types.responses.response_reasoning_item import ResponseReasoningItem -from .agent import Agent +from .agent import Agent, ToolsToFinalOutputResult from .agent_output import AgentOutputSchema from .computer import AsyncComputer, Computer from .exceptions import AgentsException, ModelBehaviorError, UserError @@ -48,7 +50,7 @@ from .models.interface import ModelTracing from .run_context import RunContextWrapper, TContext from .stream_events import RunItemStreamEvent, StreamEvent -from .tool import ComputerTool, FunctionTool +from .tool import ComputerTool, FunctionTool, FunctionToolResult from .tracing import ( SpanError, Trace, @@ -70,6 +72,8 @@ class QueueCompleteSentinel: QUEUE_COMPLETE_SENTINEL = QueueCompleteSentinel() +_NOT_FINAL_OUTPUT = ToolsToFinalOutputResult(is_final_output=False, final_output=None) + @dataclass class ToolRunHandoff: @@ -199,7 +203,7 @@ async def execute_tools_and_side_effects( config=run_config, ), ) - new_step_items.extend(function_results) + new_step_items.extend([result.run_item for result in function_results]) new_step_items.extend(computer_results) # Second, check if there are any handoffs @@ -216,6 +220,30 @@ async def execute_tools_and_side_effects( run_config=run_config, ) + # Third, we'll check if the tool use should result in a final output + check_tool_use = await cls._check_for_final_output_from_tools( + agent=agent, + tool_results=function_results, + context_wrapper=context_wrapper, + config=run_config, + ) + + if check_tool_use.is_final_output: + # If the output type is str, then let's just stringify it + if not agent.output_type or agent.output_type is str: + check_tool_use.final_output = str(check_tool_use.final_output) + + return await cls.execute_final_output( + agent=agent, + original_input=original_input, + new_response=new_response, + pre_step_items=pre_step_items, + new_step_items=new_step_items, + final_output=check_tool_use.final_output, + hooks=hooks, + context_wrapper=context_wrapper, + ) + # Now we can check if the model also produced a final output message_items = [item for item in new_step_items if isinstance(item, MessageOutputItem)] @@ -355,10 +383,10 @@ async def execute_function_tool_calls( hooks: RunHooks[TContext], context_wrapper: RunContextWrapper[TContext], config: RunConfig, - ) -> list[RunItem]: + ) -> list[FunctionToolResult]: async def run_single_tool( func_tool: FunctionTool, tool_call: ResponseFunctionToolCall - ) -> str: + ) -> Any: with function_span(func_tool.name) as span_fn: if config.trace_include_sensitive_data: span_fn.span_data.input = tool_call.arguments @@ -404,10 +432,14 @@ async def run_single_tool( results = await asyncio.gather(*tasks) return [ - ToolCallOutputItem( - output=str(result), - raw_item=ItemHelpers.tool_call_output_item(tool_run.tool_call, str(result)), - agent=agent, + FunctionToolResult( + tool=tool_run.function_tool, + output=result, + run_item=ToolCallOutputItem( + output=result, + raw_item=ItemHelpers.tool_call_output_item(tool_run.tool_call, str(result)), + agent=agent, + ), ) for tool_run, result in zip(tool_runs, results) ] @@ -646,6 +678,39 @@ def stream_step_result_to_queue( if event: queue.put_nowait(event) + @classmethod + async def _check_for_final_output_from_tools( + cls, + *, + agent: Agent[TContext], + tool_results: list[FunctionToolResult], + context_wrapper: RunContextWrapper[TContext], + config: RunConfig, + ) -> ToolsToFinalOutputResult: + """Returns (i, final_output).""" + if not tool_results: + return _NOT_FINAL_OUTPUT + + if agent.tool_use_behavior == "run_llm_again": + return _NOT_FINAL_OUTPUT + elif agent.tool_use_behavior == "stop_on_first_tool": + return ToolsToFinalOutputResult( + is_final_output=True, final_output=tool_results[0].output + ) + elif callable(agent.tool_use_behavior): + if inspect.iscoroutinefunction(agent.tool_use_behavior): + return await cast( + Awaitable[ToolsToFinalOutputResult], + agent.tool_use_behavior(context_wrapper, tool_results), + ) + else: + return cast( + ToolsToFinalOutputResult, agent.tool_use_behavior(context_wrapper, tool_results) + ) + else: + logger.error(f"Invalid tool_use_behavior: {agent.tool_use_behavior}") + raise UserError(f"Invalid tool_use_behavior: {agent.tool_use_behavior}") + class TraceCtxManager: """Creates a trace only if there is no current trace, and manages the trace lifecycle.""" diff --git a/src/agents/agent.py b/src/agents/agent.py index 84d0ae968..143f92689 100644 --- a/src/agents/agent.py +++ b/src/agents/agent.py @@ -4,7 +4,7 @@ import inspect from collections.abc import Awaitable from dataclasses import dataclass, field -from typing import TYPE_CHECKING, Any, Callable, Generic, cast +from typing import TYPE_CHECKING, Any, Callable, Generic, Literal, TypeAlias, cast from .guardrail import InputGuardrail, OutputGuardrail from .handoffs import Handoff @@ -13,7 +13,7 @@ from .model_settings import ModelSettings from .models.interface import Model from .run_context import RunContextWrapper, TContext -from .tool import Tool, function_tool +from .tool import FunctionToolResult, Tool, function_tool from .util import _transforms from .util._types import MaybeAwaitable @@ -22,6 +22,28 @@ from .result import RunResult +@dataclass +class ToolsToFinalOutputResult: + is_final_output: bool + """Whether this is the final output. If False, the LLM will run again and receive the tool call + output. + """ + + final_output: Any | None = None + """The final output. Can be None if `is_final_output` is False, otherwise must match the + `output_type` of the agent. + """ + + +ToolsToFinalOutputFunction: TypeAlias = Callable[ + [RunContextWrapper[TContext], list[FunctionToolResult]], + MaybeAwaitable[ToolsToFinalOutputResult], +] +"""A function that takes a run context and a list of tool results, and returns a +`ToolToFinalOutputResult`. +""" + + @dataclass class Agent(Generic[TContext]): """An agent is an AI model configured with instructions, tools, guardrails, handoffs and more. @@ -95,6 +117,22 @@ class Agent(Generic[TContext]): """A class that receives callbacks on various lifecycle events for this agent. """ + tool_use_behavior: ( + Literal["run_llm_again", "stop_on_first_tool"] | ToolsToFinalOutputFunction + ) = "run_llm_again" + """This lets you configure how tool use is handled. + - "run_llm_again": The default behavior. Tools are run, and then the LLM receives the results + and gets to respond. + - "stop_on_first_tool": The output of the first tool call is used as the final output. This + means that the LLM does not process the result of the tool call. In addition, its + - A function: If you pass a function, it will be called with the run context and the list of + tool results. It must return a `ToolToFinalOutputResult`, which determines whether the tool + calls result in a final output. + + NOTE: This configuration is specific to FunctionTools. Hosted tools, such as file search, + web search, etc are always processed by the LLM. + """ + def clone(self, **kwargs: Any) -> Agent[TContext]: """Make a copy of the agent, with the given arguments changed. For example, you could do: ``` diff --git a/src/agents/items.py b/src/agents/items.py index ffbeba024..c2af0dfc6 100644 --- a/src/agents/items.py +++ b/src/agents/items.py @@ -129,8 +129,10 @@ class ToolCallOutputItem(RunItemBase[Union[FunctionCallOutput, ComputerCallOutpu raw_item: FunctionCallOutput | ComputerCallOutput """The raw item from the model.""" - output: str - """The output of the tool call.""" + output: Any + """The output of the tool call. This is whatever the tool call returned; the `raw_item` + contains a string representation of the output. + """ type: Literal["tool_call_output_item"] = "tool_call_output_item" diff --git a/src/agents/tool.py b/src/agents/tool.py index 0baf2c0ce..126e719a1 100644 --- a/src/agents/tool.py +++ b/src/agents/tool.py @@ -15,6 +15,7 @@ from .computer import AsyncComputer, Computer from .exceptions import ModelBehaviorError from .function_schema import DocstringStyle, function_schema +from .items import RunItem from .logger import logger from .run_context import RunContextWrapper from .tracing import SpanError @@ -29,6 +30,18 @@ ToolFunction = Union[ToolFunctionWithoutContext[ToolParams], ToolFunctionWithContext[ToolParams]] +@dataclass +class FunctionToolResult: + tool: FunctionTool + """The tool that was run.""" + + output: Any + """The output of the tool.""" + + run_item: RunItem + """The run item that was produced as a result of the tool call.""" + + @dataclass class FunctionTool: """A tool that wraps a function. In most cases, you should use the `function_tool` helpers to @@ -44,15 +57,15 @@ class FunctionTool: params_json_schema: dict[str, Any] """The JSON schema for the tool's parameters.""" - on_invoke_tool: Callable[[RunContextWrapper[Any], str], Awaitable[str]] + on_invoke_tool: Callable[[RunContextWrapper[Any], str], Awaitable[Any]] """A function that invokes the tool with the given context and parameters. The params passed are: 1. The tool run context. 2. The arguments from the LLM, as a JSON string. - You must return a string representation of the tool output. In case of errors, you can either - raise an Exception (which will cause the run to fail) or return a string error message (which - will be sent back to the LLM). + You must return a string representation of the tool output, or something we can call `str()` on. + In case of errors, you can either raise an Exception (which will cause the run to fail) or + return a string error message (which will be sent back to the LLM). """ strict_json_schema: bool = True @@ -204,7 +217,7 @@ def _create_function_tool(the_func: ToolFunction[...]) -> FunctionTool: strict_json_schema=strict_mode, ) - async def _on_invoke_tool_impl(ctx: RunContextWrapper[Any], input: str) -> str: + async def _on_invoke_tool_impl(ctx: RunContextWrapper[Any], input: str) -> Any: try: json_data: dict[str, Any] = json.loads(input) if input else {} except Exception as e: @@ -251,9 +264,9 @@ async def _on_invoke_tool_impl(ctx: RunContextWrapper[Any], input: str) -> str: else: logger.debug(f"Tool {schema.name} returned {result}") - return str(result) + return result - async def _on_invoke_tool(ctx: RunContextWrapper[Any], input: str) -> str: + async def _on_invoke_tool(ctx: RunContextWrapper[Any], input: str) -> Any: try: return await _on_invoke_tool_impl(ctx, input) except Exception as e: diff --git a/src/agents/tracing/span_data.py b/src/agents/tracing/span_data.py index 5e5d38cbf..1a49d8e6f 100644 --- a/src/agents/tracing/span_data.py +++ b/src/agents/tracing/span_data.py @@ -51,7 +51,7 @@ def export(self) -> dict[str, Any]: class FunctionSpanData(SpanData): __slots__ = ("name", "input", "output") - def __init__(self, name: str, input: str | None, output: str | None): + def __init__(self, name: str, input: str | None, output: Any | None): self.name = name self.input = input self.output = output @@ -65,7 +65,7 @@ def export(self) -> dict[str, Any]: "type": self.type, "name": self.name, "input": self.input, - "output": self.output, + "output": str(self.output) if self.output else None, } diff --git a/tests/test_agent_runner.py b/tests/test_agent_runner.py index c124915a7..e8e060fd5 100644 --- a/tests/test_agent_runner.py +++ b/tests/test_agent_runner.py @@ -21,6 +21,8 @@ UserError, handoff, ) +from agents.agent import ToolsToFinalOutputResult +from agents.tool import FunctionToolResult, function_tool from .fake_model import FakeModel from .test_responses import ( @@ -552,3 +554,83 @@ def guardrail_function( with pytest.raises(OutputGuardrailTripwireTriggered): await Runner.run(agent, input="user_message") + + +@function_tool +def test_tool_one(): + return Foo(bar="tool_one_result") + + +@function_tool +def test_tool_two(): + return "tool_two_result" + + +@pytest.mark.asyncio +async def test_tool_use_behavior_first_output(): + model = FakeModel() + agent = Agent( + name="test", + model=model, + tools=[get_function_tool("foo", "tool_result"), test_tool_one, test_tool_two], + tool_use_behavior="stop_on_first_tool", + output_type=Foo, + ) + + model.add_multiple_turn_outputs( + [ + # First turn: a message and tool call + [ + get_text_message("a_message"), + get_function_tool_call("test_tool_one", None), + get_function_tool_call("test_tool_two", None), + ], + ] + ) + + result = await Runner.run(agent, input="user_message") + + assert result.final_output == Foo(bar="tool_one_result"), ( + "should have used the first tool result" + ) + + +def custom_tool_use_behavior( + context: RunContextWrapper[Any], results: list[FunctionToolResult] +) -> ToolsToFinalOutputResult: + if "test_tool_one" in [result.tool.name for result in results]: + return ToolsToFinalOutputResult(is_final_output=True, final_output="the_final_output") + else: + return ToolsToFinalOutputResult(is_final_output=False, final_output=None) + + +@pytest.mark.asyncio +async def test_tool_use_behavior_custom_function(): + model = FakeModel() + agent = Agent( + name="test", + model=model, + tools=[get_function_tool("foo", "tool_result"), test_tool_one, test_tool_two], + tool_use_behavior=custom_tool_use_behavior, + ) + + model.add_multiple_turn_outputs( + [ + # First turn: a message and tool call + [ + get_text_message("a_message"), + get_function_tool_call("test_tool_two", None), + ], + # Second turn: a message and tool call + [ + get_text_message("a_message"), + get_function_tool_call("test_tool_one", None), + get_function_tool_call("test_tool_two", None), + ], + ] + ) + + result = await Runner.run(agent, input="user_message") + + assert len(result.raw_responses) == 2, "should have two model responses" + assert result.final_output == "the_final_output", "should have used the custom function" diff --git a/tests/test_function_tool.py b/tests/test_function_tool.py index 6a78309b5..0a57aea87 100644 --- a/tests/test_function_tool.py +++ b/tests/test_function_tool.py @@ -49,10 +49,10 @@ async def test_simple_function(): assert tool.name == "simple_function" result = await tool.on_invoke_tool(RunContextWrapper(None), '{"a": 1}') - assert result == "6" + assert result == 6 result = await tool.on_invoke_tool(RunContextWrapper(None), '{"a": 1, "b": 2}') - assert result == "3" + assert result == 3 # Missing required argument should raise an error with pytest.raises(ModelBehaviorError): diff --git a/tests/test_tool_use_behavior.py b/tests/test_tool_use_behavior.py new file mode 100644 index 000000000..875e98a23 --- /dev/null +++ b/tests/test_tool_use_behavior.py @@ -0,0 +1,152 @@ +# Copyright + +from __future__ import annotations + +from typing import cast + +import pytest +from openai.types.responses.response_input_item_param import FunctionCallOutput + +from agents import ( + Agent, + FunctionToolResult, + RunConfig, + RunContextWrapper, + ToolCallOutputItem, + ToolsToFinalOutputResult, + UserError, +) +from agents._run_impl import RunImpl + +from .test_responses import get_function_tool + + +def _make_function_tool_result(agent: Agent, output: str) -> FunctionToolResult: + # Construct a FunctionToolResult with the given output using a simple function tool. + tool = get_function_tool("dummy", return_value=output) + raw_item: FunctionCallOutput = cast( + FunctionCallOutput, + { + "call_id": "1", + "output": output, + "type": "function_call_output", + }, + ) + # For this test we don't care about the specific RunItem subclass, only the output field + run_item = ToolCallOutputItem(agent=agent, raw_item=raw_item, output=output) + return FunctionToolResult(tool=tool, output=output, run_item=run_item) + + +@pytest.mark.asyncio +async def test_no_tool_results_returns_not_final_output() -> None: + # If there are no tool results at all, tool_use_behavior should not produce a final output. + agent = Agent(name="test") + result = await RunImpl._check_for_final_output_from_tools( + agent=agent, + tool_results=[], + context_wrapper=RunContextWrapper(context=None), + config=RunConfig(), + ) + assert result.is_final_output is False + assert result.final_output is None + + +@pytest.mark.asyncio +async def test_run_llm_again_behavior() -> None: + # With the default run_llm_again behavior, even with tools we still expect to keep running. + agent = Agent(name="test", tool_use_behavior="run_llm_again") + tool_results = [_make_function_tool_result(agent, "ignored")] + result = await RunImpl._check_for_final_output_from_tools( + agent=agent, + tool_results=tool_results, + context_wrapper=RunContextWrapper(context=None), + config=RunConfig(), + ) + assert result.is_final_output is False + assert result.final_output is None + + +@pytest.mark.asyncio +async def test_stop_on_first_tool_behavior() -> None: + # When tool_use_behavior is stop_on_first_tool, we should surface first tool output as final. + agent = Agent(name="test", tool_use_behavior="stop_on_first_tool") + tool_results = [ + _make_function_tool_result(agent, "first_tool_output"), + _make_function_tool_result(agent, "ignored"), + ] + result = await RunImpl._check_for_final_output_from_tools( + agent=agent, + tool_results=tool_results, + context_wrapper=RunContextWrapper(context=None), + config=RunConfig(), + ) + assert result.is_final_output is True + assert result.final_output == "first_tool_output" + + +@pytest.mark.asyncio +async def test_custom_tool_use_behavior_sync() -> None: + """If tool_use_behavior is a sync function, we should call it and propagate its return.""" + + def behavior( + context: RunContextWrapper, results: list[FunctionToolResult] + ) -> ToolsToFinalOutputResult: + assert len(results) == 3 + return ToolsToFinalOutputResult(is_final_output=True, final_output="custom") + + agent = Agent(name="test", tool_use_behavior=behavior) + tool_results = [ + _make_function_tool_result(agent, "ignored1"), + _make_function_tool_result(agent, "ignored2"), + _make_function_tool_result(agent, "ignored3"), + ] + result = await RunImpl._check_for_final_output_from_tools( + agent=agent, + tool_results=tool_results, + context_wrapper=RunContextWrapper(context=None), + config=RunConfig(), + ) + assert result.is_final_output is True + assert result.final_output == "custom" + + +@pytest.mark.asyncio +async def test_custom_tool_use_behavior_async() -> None: + """If tool_use_behavior is an async function, we should await it and propagate its return.""" + + async def behavior( + context: RunContextWrapper, results: list[FunctionToolResult] + ) -> ToolsToFinalOutputResult: + assert len(results) == 3 + return ToolsToFinalOutputResult(is_final_output=True, final_output="async_custom") + + agent = Agent(name="test", tool_use_behavior=behavior) + tool_results = [ + _make_function_tool_result(agent, "ignored1"), + _make_function_tool_result(agent, "ignored2"), + _make_function_tool_result(agent, "ignored3"), + ] + result = await RunImpl._check_for_final_output_from_tools( + agent=agent, + tool_results=tool_results, + context_wrapper=RunContextWrapper(context=None), + config=RunConfig(), + ) + assert result.is_final_output is True + assert result.final_output == "async_custom" + + +@pytest.mark.asyncio +async def test_invalid_tool_use_behavior_raises() -> None: + """If tool_use_behavior is invalid, we should raise a UserError.""" + agent = Agent(name="test") + # Force an invalid value; mypy will complain, so ignore the type here. + agent.tool_use_behavior = "bad_value" # type: ignore[assignment] + tool_results = [_make_function_tool_result(agent, "ignored")] + with pytest.raises(UserError): + await RunImpl._check_for_final_output_from_tools( + agent=agent, + tool_results=tool_results, + context_wrapper=RunContextWrapper(context=None), + config=RunConfig(), + ) From dd64ed5cb60d655fd3b5d37101a5055e31e8d3d6 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 17 Mar 2025 14:55:54 -0400 Subject: [PATCH 008/337] Update tracing docs --- README.md | 2 +- docs/tracing.md | 4 ++-- examples/tools/computer_use.py | 34 +++++++++++++++++++++++----------- 3 files changed, 26 insertions(+), 14 deletions(-) diff --git a/README.md b/README.md index 210f6f4bd..51ca3c6c6 100644 --- a/README.md +++ b/README.md @@ -142,7 +142,7 @@ The Agents SDK is designed to be highly flexible, allowing you to model a wide r ## Tracing -The Agents SDK automatically traces your agent runs, making it easy to track and debug the behavior of your agents. Tracing is extensible by design, supporting custom spans and a wide variety of external destinations, including [Logfire](https://logfire.pydantic.dev/docs/integrations/llms/openai/#openai-agents), [AgentOps](https://docs.agentops.ai/v1/integrations/agentssdk), [Braintrust](https://braintrust.dev/docs/guides/traces/integrations#openai-agents-sdk), [Scorecard](https://docs.scorecard.io/docs/documentation/features/tracing#openai-agents-sdk-integration), and [Keywords AI](https://docs.keywordsai.co/integration/development-frameworks/openai-agent). For more details about how to customize or disable tracing, see [Tracing](http://openai.github.io/openai-agents-python/tracing). +The Agents SDK automatically traces your agent runs, making it easy to track and debug the behavior of your agents. Tracing is extensible by design, supporting custom spans and a wide variety of external destinations, including [Logfire](https://logfire.pydantic.dev/docs/integrations/llms/openai/#openai-agents), [AgentOps](https://docs.agentops.ai/v1/integrations/agentssdk), [Braintrust](https://braintrust.dev/docs/guides/traces/integrations#openai-agents-sdk), [Scorecard](https://docs.scorecard.io/docs/documentation/features/tracing#openai-agents-sdk-integration), and [Keywords AI](https://docs.keywordsai.co/integration/development-frameworks/openai-agent). For more details about how to customize or disable tracing, see [Tracing](http://openai.github.io/openai-agents-python/tracing), which also includes a larger list of [external tracing processors](http://openai.github.io/openai-agents-python/tracing/#external-tracing-processors-list). ## Development (only needed if you need to edit the SDK/examples) diff --git a/docs/tracing.md b/docs/tracing.md index d7d0a651c..372a41acc 100644 --- a/docs/tracing.md +++ b/docs/tracing.md @@ -88,10 +88,10 @@ To customize this default setup, to send traces to alternative or additional bac 1. [`add_trace_processor()`][agents.tracing.add_trace_processor] lets you add an **additional** trace processor that will receive traces and spans as they are ready. This lets you do your own processing in addition to sending traces to OpenAI's backend. 2. [`set_trace_processors()`][agents.tracing.set_trace_processors] lets you **replace** the default processors with your own trace processors. This means traces will not be sent to the OpenAI backend unless you include a `TracingProcessor` that does so. -External trace processors include: +## External tracing processors list - [Braintrust](https://braintrust.dev/docs/guides/traces/integrations#openai-agents-sdk) - [Pydantic Logfire](https://logfire.pydantic.dev/docs/integrations/llms/openai/#openai-agents) - [AgentOps](https://docs.agentops.ai/v1/integrations/agentssdk) -- [Scorecard](https://docs.scorecard.io/docs/documentation/features/tracing#openai-agents-sdk-integration)) +- [Scorecard](https://docs.scorecard.io/docs/documentation/features/tracing#openai-agents-sdk-integration) - [Keywords AI](https://docs.keywordsai.co/integration/development-frameworks/openai-agent) diff --git a/examples/tools/computer_use.py b/examples/tools/computer_use.py index 832255e80..68067bb90 100644 --- a/examples/tools/computer_use.py +++ b/examples/tools/computer_use.py @@ -23,17 +23,29 @@ async def main(): async with LocalPlaywrightComputer() as computer: + input_items = [ + { + "role": "user", + "content": "Browse wikipedia, and keep clicking on the first link you see until you find the page about Stephen Hawking. Don't search, just click.", + } + ] with trace("Computer use example"): - agent = Agent( - name="Browser user", - instructions="You are a helpful agent.", - tools=[ComputerTool(computer)], - # Use the computer using model, and set truncation to auto because its required - model="computer-use-preview", - model_settings=ModelSettings(truncation="auto"), - ) - result = await Runner.run(agent, "Search for SF sports news and summarize.") - print(result.final_output) + while True: + print("Turn ") + agent = Agent( + name="Browser user", + instructions="You are a helpful agent.", + tools=[ComputerTool(computer)], + # Use the computer using model, and set truncation to auto because its required + model="computer-use-preview", + model_settings=ModelSettings(truncation="auto"), + ) + result = await Runner.run( + agent, + input_items, + max_turns=10000, + ) + input_items = result.to_input_list() CUA_KEY_TO_PLAYWRIGHT_KEY = { @@ -79,7 +91,7 @@ async def _get_browser_and_page(self) -> tuple[Browser, Page]: browser = await self.playwright.chromium.launch(headless=False, args=launch_args) page = await browser.new_page() await page.set_viewport_size({"width": width, "height": height}) - await page.goto("https://www.bing.com") + await page.goto("https://en.wikipedia.org/wiki/Main_Page") return browser, page async def __aenter__(self): From effca7a734403c13f3ae2b8717365fc1c91e200a Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 17 Mar 2025 14:35:40 -0400 Subject: [PATCH 009/337] Introduce tool_use_behavior on agents --- docs/agents.md | 13 ++ examples/agent_patterns/forcing_tool_use.py | 99 +++++++++++++ examples/basic/tools.py | 34 +++++ src/agents/__init__.py | 6 +- src/agents/_run_impl.py | 85 +++++++++-- src/agents/agent.py | 46 +++++- src/agents/items.py | 6 +- src/agents/tool.py | 27 +++- src/agents/tracing/span_data.py | 4 +- tests/test_agent_runner.py | 82 +++++++++++ tests/test_function_tool.py | 4 +- tests/test_tool_use_behavior.py | 152 ++++++++++++++++++++ 12 files changed, 532 insertions(+), 26 deletions(-) create mode 100644 examples/agent_patterns/forcing_tool_use.py create mode 100644 examples/basic/tools.py create mode 100644 tests/test_tool_use_behavior.py diff --git a/docs/agents.md b/docs/agents.md index 17589b3db..1c3147390 100644 --- a/docs/agents.md +++ b/docs/agents.md @@ -130,3 +130,16 @@ robot_agent = pirate_agent.clone( instructions="Write like a robot", ) ``` + +## Forcing tool use + +Supplying a list of tools doesn't always mean the LLM will use a tool. You can force tool use by setting [`ModelSettings.tool_choice`][agents.model_settings.ModelSettings.tool_choice]. Valid values are: + +1. `auto`, which allows the LLM to decide whether or not to use a tool. +2. `required`, which requires the LLM to use a tool (but it can intelligently decide which tool). +3. `none`, which requires the LLM to _not_ use a tool. +4. Setting a specific string e.g. `my_tool`, which requires the LLM to use that specific tool. + +!!! note + + If requiring tool use, you should consider setting [`Agent.tool_use_behavior`] to stop the Agent from running when a tool output is produced. Otherwise, the Agent might run in an infinite loop, where the LLM produces a tool call , and the tool result is sent to the LLM, and this infinite loops because the LLM is always forced to use a tool. diff --git a/examples/agent_patterns/forcing_tool_use.py b/examples/agent_patterns/forcing_tool_use.py new file mode 100644 index 000000000..3f4e35ae8 --- /dev/null +++ b/examples/agent_patterns/forcing_tool_use.py @@ -0,0 +1,99 @@ +from __future__ import annotations + +import asyncio +from typing import Any, Literal + +from pydantic import BaseModel + +from agents import ( + Agent, + FunctionToolResult, + ModelSettings, + RunContextWrapper, + Runner, + ToolsToFinalOutputFunction, + ToolsToFinalOutputResult, + function_tool, +) + +""" +This example shows how to force the agent to use a tool. It uses `ModelSettings(tool_choice="required")` +to force the agent to use any tool. + +You can run it with 3 options: +1. `default`: The default behavior, which is to send the tool output to the LLM. In this case, + `tool_choice` is not set, because otherwise it would result in an infinite loop - the LLM would + call the tool, the tool would run and send the results to the LLM, and that would repeat + (because the model is forced to use a tool every time.) +2. `first_tool_result`: The first tool result is used as the final output. +3. `custom`: A custom tool use behavior function is used. The custom function receives all the tool + results, and chooses to use the first tool result to generate the final output. + +Usage: +python examples/agent_patterns/forcing_tool_use.py -t default +python examples/agent_patterns/forcing_tool_use.py -t first_tool +python examples/agent_patterns/forcing_tool_use.py -t custom +""" + + +class Weather(BaseModel): + city: str + temperature_range: str + conditions: str + + +@function_tool +def get_weather(city: str) -> Weather: + print("[debug] get_weather called") + return Weather(city=city, temperature_range="14-20C", conditions="Sunny with wind") + + +async def custom_tool_use_behavior( + context: RunContextWrapper[Any], results: list[FunctionToolResult] +) -> ToolsToFinalOutputResult: + weather: Weather = results[0].output + return ToolsToFinalOutputResult( + is_final_output=True, final_output=f"{weather.city} is {weather.conditions}." + ) + + +async def main(tool_use_behavior: Literal["default", "first_tool", "custom"] = "default"): + if tool_use_behavior == "default": + behavior: Literal["run_llm_again", "stop_on_first_tool"] | ToolsToFinalOutputFunction = ( + "run_llm_again" + ) + elif tool_use_behavior == "first_tool": + behavior = "stop_on_first_tool" + elif tool_use_behavior == "custom": + behavior = custom_tool_use_behavior + + agent = Agent( + name="Weather agent", + instructions="You are a helpful agent.", + tools=[get_weather], + tool_use_behavior=behavior, + model_settings=ModelSettings( + tool_choice="required" if tool_use_behavior != "default" else None + ), + ) + + result = await Runner.run(agent, input="What's the weather in Tokyo?") + print(result.final_output) + + +if __name__ == "__main__": + import argparse + + parser = argparse.ArgumentParser() + parser.add_argument( + "-t", + "--tool-use-behavior", + type=str, + required=True, + choices=["default", "first_tool", "custom"], + help="The behavior to use for tool use. Default will cause tool outputs to be sent to the model. " + "first_tool_result will cause the first tool result to be used as the final output. " + "custom will use a custom tool use behavior function.", + ) + args = parser.parse_args() + asyncio.run(main(args.tool_use_behavior)) diff --git a/examples/basic/tools.py b/examples/basic/tools.py new file mode 100644 index 000000000..8936065a5 --- /dev/null +++ b/examples/basic/tools.py @@ -0,0 +1,34 @@ +import asyncio + +from pydantic import BaseModel + +from agents import Agent, Runner, function_tool + + +class Weather(BaseModel): + city: str + temperature_range: str + conditions: str + + +@function_tool +def get_weather(city: str) -> Weather: + print("[debug] get_weather called") + return Weather(city=city, temperature_range="14-20C", conditions="Sunny with wind.") + + +agent = Agent( + name="Hello world", + instructions="You are a helpful agent.", + tools=[get_weather], +) + + +async def main(): + result = await Runner.run(agent, input="What's the weather in Tokyo?") + print(result.final_output) + # The weather in Tokyo is sunny. + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/src/agents/__init__.py b/src/agents/__init__.py index a2d7f247b..11720bbca 100644 --- a/src/agents/__init__.py +++ b/src/agents/__init__.py @@ -5,7 +5,7 @@ from openai import AsyncOpenAI from . import _config -from .agent import Agent +from .agent import Agent, ToolsToFinalOutputFunction, ToolsToFinalOutputResult from .agent_output import AgentOutputSchema from .computer import AsyncComputer, Button, Computer, Environment from .exceptions import ( @@ -57,6 +57,7 @@ ComputerTool, FileSearchTool, FunctionTool, + FunctionToolResult, Tool, WebSearchTool, default_tool_error_function, @@ -136,6 +137,8 @@ def enable_verbose_stdout_logging(): __all__ = [ "Agent", + "ToolsToFinalOutputFunction", + "ToolsToFinalOutputResult", "Runner", "Model", "ModelProvider", @@ -189,6 +192,7 @@ def enable_verbose_stdout_logging(): "AgentUpdatedStreamEvent", "StreamEvent", "FunctionTool", + "FunctionToolResult", "ComputerTool", "FileSearchTool", "Tool", diff --git a/src/agents/_run_impl.py b/src/agents/_run_impl.py index c0c0ebd0d..890c4e2ee 100644 --- a/src/agents/_run_impl.py +++ b/src/agents/_run_impl.py @@ -1,8 +1,10 @@ from __future__ import annotations import asyncio +import inspect +from collections.abc import Awaitable from dataclasses import dataclass -from typing import TYPE_CHECKING, Any +from typing import TYPE_CHECKING, Any, cast from openai.types.responses import ( ResponseComputerToolCall, @@ -25,7 +27,7 @@ from openai.types.responses.response_input_param import ComputerCallOutput from openai.types.responses.response_reasoning_item import ResponseReasoningItem -from .agent import Agent +from .agent import Agent, ToolsToFinalOutputResult from .agent_output import AgentOutputSchema from .computer import AsyncComputer, Computer from .exceptions import AgentsException, ModelBehaviorError, UserError @@ -48,7 +50,7 @@ from .models.interface import ModelTracing from .run_context import RunContextWrapper, TContext from .stream_events import RunItemStreamEvent, StreamEvent -from .tool import ComputerTool, FunctionTool +from .tool import ComputerTool, FunctionTool, FunctionToolResult from .tracing import ( SpanError, Trace, @@ -70,6 +72,8 @@ class QueueCompleteSentinel: QUEUE_COMPLETE_SENTINEL = QueueCompleteSentinel() +_NOT_FINAL_OUTPUT = ToolsToFinalOutputResult(is_final_output=False, final_output=None) + @dataclass class ToolRunHandoff: @@ -199,7 +203,7 @@ async def execute_tools_and_side_effects( config=run_config, ), ) - new_step_items.extend(function_results) + new_step_items.extend([result.run_item for result in function_results]) new_step_items.extend(computer_results) # Second, check if there are any handoffs @@ -216,6 +220,30 @@ async def execute_tools_and_side_effects( run_config=run_config, ) + # Third, we'll check if the tool use should result in a final output + check_tool_use = await cls._check_for_final_output_from_tools( + agent=agent, + tool_results=function_results, + context_wrapper=context_wrapper, + config=run_config, + ) + + if check_tool_use.is_final_output: + # If the output type is str, then let's just stringify it + if not agent.output_type or agent.output_type is str: + check_tool_use.final_output = str(check_tool_use.final_output) + + return await cls.execute_final_output( + agent=agent, + original_input=original_input, + new_response=new_response, + pre_step_items=pre_step_items, + new_step_items=new_step_items, + final_output=check_tool_use.final_output, + hooks=hooks, + context_wrapper=context_wrapper, + ) + # Now we can check if the model also produced a final output message_items = [item for item in new_step_items if isinstance(item, MessageOutputItem)] @@ -355,10 +383,10 @@ async def execute_function_tool_calls( hooks: RunHooks[TContext], context_wrapper: RunContextWrapper[TContext], config: RunConfig, - ) -> list[RunItem]: + ) -> list[FunctionToolResult]: async def run_single_tool( func_tool: FunctionTool, tool_call: ResponseFunctionToolCall - ) -> str: + ) -> Any: with function_span(func_tool.name) as span_fn: if config.trace_include_sensitive_data: span_fn.span_data.input = tool_call.arguments @@ -404,10 +432,14 @@ async def run_single_tool( results = await asyncio.gather(*tasks) return [ - ToolCallOutputItem( - output=str(result), - raw_item=ItemHelpers.tool_call_output_item(tool_run.tool_call, str(result)), - agent=agent, + FunctionToolResult( + tool=tool_run.function_tool, + output=result, + run_item=ToolCallOutputItem( + output=result, + raw_item=ItemHelpers.tool_call_output_item(tool_run.tool_call, str(result)), + agent=agent, + ), ) for tool_run, result in zip(tool_runs, results) ] @@ -646,6 +678,39 @@ def stream_step_result_to_queue( if event: queue.put_nowait(event) + @classmethod + async def _check_for_final_output_from_tools( + cls, + *, + agent: Agent[TContext], + tool_results: list[FunctionToolResult], + context_wrapper: RunContextWrapper[TContext], + config: RunConfig, + ) -> ToolsToFinalOutputResult: + """Returns (i, final_output).""" + if not tool_results: + return _NOT_FINAL_OUTPUT + + if agent.tool_use_behavior == "run_llm_again": + return _NOT_FINAL_OUTPUT + elif agent.tool_use_behavior == "stop_on_first_tool": + return ToolsToFinalOutputResult( + is_final_output=True, final_output=tool_results[0].output + ) + elif callable(agent.tool_use_behavior): + if inspect.iscoroutinefunction(agent.tool_use_behavior): + return await cast( + Awaitable[ToolsToFinalOutputResult], + agent.tool_use_behavior(context_wrapper, tool_results), + ) + else: + return cast( + ToolsToFinalOutputResult, agent.tool_use_behavior(context_wrapper, tool_results) + ) + else: + logger.error(f"Invalid tool_use_behavior: {agent.tool_use_behavior}") + raise UserError(f"Invalid tool_use_behavior: {agent.tool_use_behavior}") + class TraceCtxManager: """Creates a trace only if there is no current trace, and manages the trace lifecycle.""" diff --git a/src/agents/agent.py b/src/agents/agent.py index 84d0ae968..3545c1e6c 100644 --- a/src/agents/agent.py +++ b/src/agents/agent.py @@ -4,7 +4,9 @@ import inspect from collections.abc import Awaitable from dataclasses import dataclass, field -from typing import TYPE_CHECKING, Any, Callable, Generic, cast +from typing import TYPE_CHECKING, Any, Callable, Generic, Literal, cast + +from typing_extensions import TypeAlias from .guardrail import InputGuardrail, OutputGuardrail from .handoffs import Handoff @@ -13,7 +15,7 @@ from .model_settings import ModelSettings from .models.interface import Model from .run_context import RunContextWrapper, TContext -from .tool import Tool, function_tool +from .tool import FunctionToolResult, Tool, function_tool from .util import _transforms from .util._types import MaybeAwaitable @@ -22,6 +24,28 @@ from .result import RunResult +@dataclass +class ToolsToFinalOutputResult: + is_final_output: bool + """Whether this is the final output. If False, the LLM will run again and receive the tool call + output. + """ + + final_output: Any | None = None + """The final output. Can be None if `is_final_output` is False, otherwise must match the + `output_type` of the agent. + """ + + +ToolsToFinalOutputFunction: TypeAlias = Callable[ + [RunContextWrapper[TContext], list[FunctionToolResult]], + MaybeAwaitable[ToolsToFinalOutputResult], +] +"""A function that takes a run context and a list of tool results, and returns a +`ToolToFinalOutputResult`. +""" + + @dataclass class Agent(Generic[TContext]): """An agent is an AI model configured with instructions, tools, guardrails, handoffs and more. @@ -95,6 +119,22 @@ class Agent(Generic[TContext]): """A class that receives callbacks on various lifecycle events for this agent. """ + tool_use_behavior: ( + Literal["run_llm_again", "stop_on_first_tool"] | ToolsToFinalOutputFunction + ) = "run_llm_again" + """This lets you configure how tool use is handled. + - "run_llm_again": The default behavior. Tools are run, and then the LLM receives the results + and gets to respond. + - "stop_on_first_tool": The output of the first tool call is used as the final output. This + means that the LLM does not process the result of the tool call. In addition, its + - A function: If you pass a function, it will be called with the run context and the list of + tool results. It must return a `ToolToFinalOutputResult`, which determines whether the tool + calls result in a final output. + + NOTE: This configuration is specific to FunctionTools. Hosted tools, such as file search, + web search, etc are always processed by the LLM. + """ + def clone(self, **kwargs: Any) -> Agent[TContext]: """Make a copy of the agent, with the given arguments changed. For example, you could do: ``` @@ -157,3 +197,5 @@ async def get_system_prompt(self, run_context: RunContextWrapper[TContext]) -> s logger.error(f"Instructions must be a string or a function, got {self.instructions}") return None + + return None diff --git a/src/agents/items.py b/src/agents/items.py index ffbeba024..c2af0dfc6 100644 --- a/src/agents/items.py +++ b/src/agents/items.py @@ -129,8 +129,10 @@ class ToolCallOutputItem(RunItemBase[Union[FunctionCallOutput, ComputerCallOutpu raw_item: FunctionCallOutput | ComputerCallOutput """The raw item from the model.""" - output: str - """The output of the tool call.""" + output: Any + """The output of the tool call. This is whatever the tool call returned; the `raw_item` + contains a string representation of the output. + """ type: Literal["tool_call_output_item"] = "tool_call_output_item" diff --git a/src/agents/tool.py b/src/agents/tool.py index 0baf2c0ce..126e719a1 100644 --- a/src/agents/tool.py +++ b/src/agents/tool.py @@ -15,6 +15,7 @@ from .computer import AsyncComputer, Computer from .exceptions import ModelBehaviorError from .function_schema import DocstringStyle, function_schema +from .items import RunItem from .logger import logger from .run_context import RunContextWrapper from .tracing import SpanError @@ -29,6 +30,18 @@ ToolFunction = Union[ToolFunctionWithoutContext[ToolParams], ToolFunctionWithContext[ToolParams]] +@dataclass +class FunctionToolResult: + tool: FunctionTool + """The tool that was run.""" + + output: Any + """The output of the tool.""" + + run_item: RunItem + """The run item that was produced as a result of the tool call.""" + + @dataclass class FunctionTool: """A tool that wraps a function. In most cases, you should use the `function_tool` helpers to @@ -44,15 +57,15 @@ class FunctionTool: params_json_schema: dict[str, Any] """The JSON schema for the tool's parameters.""" - on_invoke_tool: Callable[[RunContextWrapper[Any], str], Awaitable[str]] + on_invoke_tool: Callable[[RunContextWrapper[Any], str], Awaitable[Any]] """A function that invokes the tool with the given context and parameters. The params passed are: 1. The tool run context. 2. The arguments from the LLM, as a JSON string. - You must return a string representation of the tool output. In case of errors, you can either - raise an Exception (which will cause the run to fail) or return a string error message (which - will be sent back to the LLM). + You must return a string representation of the tool output, or something we can call `str()` on. + In case of errors, you can either raise an Exception (which will cause the run to fail) or + return a string error message (which will be sent back to the LLM). """ strict_json_schema: bool = True @@ -204,7 +217,7 @@ def _create_function_tool(the_func: ToolFunction[...]) -> FunctionTool: strict_json_schema=strict_mode, ) - async def _on_invoke_tool_impl(ctx: RunContextWrapper[Any], input: str) -> str: + async def _on_invoke_tool_impl(ctx: RunContextWrapper[Any], input: str) -> Any: try: json_data: dict[str, Any] = json.loads(input) if input else {} except Exception as e: @@ -251,9 +264,9 @@ async def _on_invoke_tool_impl(ctx: RunContextWrapper[Any], input: str) -> str: else: logger.debug(f"Tool {schema.name} returned {result}") - return str(result) + return result - async def _on_invoke_tool(ctx: RunContextWrapper[Any], input: str) -> str: + async def _on_invoke_tool(ctx: RunContextWrapper[Any], input: str) -> Any: try: return await _on_invoke_tool_impl(ctx, input) except Exception as e: diff --git a/src/agents/tracing/span_data.py b/src/agents/tracing/span_data.py index 5e5d38cbf..1a49d8e6f 100644 --- a/src/agents/tracing/span_data.py +++ b/src/agents/tracing/span_data.py @@ -51,7 +51,7 @@ def export(self) -> dict[str, Any]: class FunctionSpanData(SpanData): __slots__ = ("name", "input", "output") - def __init__(self, name: str, input: str | None, output: str | None): + def __init__(self, name: str, input: str | None, output: Any | None): self.name = name self.input = input self.output = output @@ -65,7 +65,7 @@ def export(self) -> dict[str, Any]: "type": self.type, "name": self.name, "input": self.input, - "output": self.output, + "output": str(self.output) if self.output else None, } diff --git a/tests/test_agent_runner.py b/tests/test_agent_runner.py index c124915a7..e8e060fd5 100644 --- a/tests/test_agent_runner.py +++ b/tests/test_agent_runner.py @@ -21,6 +21,8 @@ UserError, handoff, ) +from agents.agent import ToolsToFinalOutputResult +from agents.tool import FunctionToolResult, function_tool from .fake_model import FakeModel from .test_responses import ( @@ -552,3 +554,83 @@ def guardrail_function( with pytest.raises(OutputGuardrailTripwireTriggered): await Runner.run(agent, input="user_message") + + +@function_tool +def test_tool_one(): + return Foo(bar="tool_one_result") + + +@function_tool +def test_tool_two(): + return "tool_two_result" + + +@pytest.mark.asyncio +async def test_tool_use_behavior_first_output(): + model = FakeModel() + agent = Agent( + name="test", + model=model, + tools=[get_function_tool("foo", "tool_result"), test_tool_one, test_tool_two], + tool_use_behavior="stop_on_first_tool", + output_type=Foo, + ) + + model.add_multiple_turn_outputs( + [ + # First turn: a message and tool call + [ + get_text_message("a_message"), + get_function_tool_call("test_tool_one", None), + get_function_tool_call("test_tool_two", None), + ], + ] + ) + + result = await Runner.run(agent, input="user_message") + + assert result.final_output == Foo(bar="tool_one_result"), ( + "should have used the first tool result" + ) + + +def custom_tool_use_behavior( + context: RunContextWrapper[Any], results: list[FunctionToolResult] +) -> ToolsToFinalOutputResult: + if "test_tool_one" in [result.tool.name for result in results]: + return ToolsToFinalOutputResult(is_final_output=True, final_output="the_final_output") + else: + return ToolsToFinalOutputResult(is_final_output=False, final_output=None) + + +@pytest.mark.asyncio +async def test_tool_use_behavior_custom_function(): + model = FakeModel() + agent = Agent( + name="test", + model=model, + tools=[get_function_tool("foo", "tool_result"), test_tool_one, test_tool_two], + tool_use_behavior=custom_tool_use_behavior, + ) + + model.add_multiple_turn_outputs( + [ + # First turn: a message and tool call + [ + get_text_message("a_message"), + get_function_tool_call("test_tool_two", None), + ], + # Second turn: a message and tool call + [ + get_text_message("a_message"), + get_function_tool_call("test_tool_one", None), + get_function_tool_call("test_tool_two", None), + ], + ] + ) + + result = await Runner.run(agent, input="user_message") + + assert len(result.raw_responses) == 2, "should have two model responses" + assert result.final_output == "the_final_output", "should have used the custom function" diff --git a/tests/test_function_tool.py b/tests/test_function_tool.py index 6a78309b5..0a57aea87 100644 --- a/tests/test_function_tool.py +++ b/tests/test_function_tool.py @@ -49,10 +49,10 @@ async def test_simple_function(): assert tool.name == "simple_function" result = await tool.on_invoke_tool(RunContextWrapper(None), '{"a": 1}') - assert result == "6" + assert result == 6 result = await tool.on_invoke_tool(RunContextWrapper(None), '{"a": 1, "b": 2}') - assert result == "3" + assert result == 3 # Missing required argument should raise an error with pytest.raises(ModelBehaviorError): diff --git a/tests/test_tool_use_behavior.py b/tests/test_tool_use_behavior.py new file mode 100644 index 000000000..875e98a23 --- /dev/null +++ b/tests/test_tool_use_behavior.py @@ -0,0 +1,152 @@ +# Copyright + +from __future__ import annotations + +from typing import cast + +import pytest +from openai.types.responses.response_input_item_param import FunctionCallOutput + +from agents import ( + Agent, + FunctionToolResult, + RunConfig, + RunContextWrapper, + ToolCallOutputItem, + ToolsToFinalOutputResult, + UserError, +) +from agents._run_impl import RunImpl + +from .test_responses import get_function_tool + + +def _make_function_tool_result(agent: Agent, output: str) -> FunctionToolResult: + # Construct a FunctionToolResult with the given output using a simple function tool. + tool = get_function_tool("dummy", return_value=output) + raw_item: FunctionCallOutput = cast( + FunctionCallOutput, + { + "call_id": "1", + "output": output, + "type": "function_call_output", + }, + ) + # For this test we don't care about the specific RunItem subclass, only the output field + run_item = ToolCallOutputItem(agent=agent, raw_item=raw_item, output=output) + return FunctionToolResult(tool=tool, output=output, run_item=run_item) + + +@pytest.mark.asyncio +async def test_no_tool_results_returns_not_final_output() -> None: + # If there are no tool results at all, tool_use_behavior should not produce a final output. + agent = Agent(name="test") + result = await RunImpl._check_for_final_output_from_tools( + agent=agent, + tool_results=[], + context_wrapper=RunContextWrapper(context=None), + config=RunConfig(), + ) + assert result.is_final_output is False + assert result.final_output is None + + +@pytest.mark.asyncio +async def test_run_llm_again_behavior() -> None: + # With the default run_llm_again behavior, even with tools we still expect to keep running. + agent = Agent(name="test", tool_use_behavior="run_llm_again") + tool_results = [_make_function_tool_result(agent, "ignored")] + result = await RunImpl._check_for_final_output_from_tools( + agent=agent, + tool_results=tool_results, + context_wrapper=RunContextWrapper(context=None), + config=RunConfig(), + ) + assert result.is_final_output is False + assert result.final_output is None + + +@pytest.mark.asyncio +async def test_stop_on_first_tool_behavior() -> None: + # When tool_use_behavior is stop_on_first_tool, we should surface first tool output as final. + agent = Agent(name="test", tool_use_behavior="stop_on_first_tool") + tool_results = [ + _make_function_tool_result(agent, "first_tool_output"), + _make_function_tool_result(agent, "ignored"), + ] + result = await RunImpl._check_for_final_output_from_tools( + agent=agent, + tool_results=tool_results, + context_wrapper=RunContextWrapper(context=None), + config=RunConfig(), + ) + assert result.is_final_output is True + assert result.final_output == "first_tool_output" + + +@pytest.mark.asyncio +async def test_custom_tool_use_behavior_sync() -> None: + """If tool_use_behavior is a sync function, we should call it and propagate its return.""" + + def behavior( + context: RunContextWrapper, results: list[FunctionToolResult] + ) -> ToolsToFinalOutputResult: + assert len(results) == 3 + return ToolsToFinalOutputResult(is_final_output=True, final_output="custom") + + agent = Agent(name="test", tool_use_behavior=behavior) + tool_results = [ + _make_function_tool_result(agent, "ignored1"), + _make_function_tool_result(agent, "ignored2"), + _make_function_tool_result(agent, "ignored3"), + ] + result = await RunImpl._check_for_final_output_from_tools( + agent=agent, + tool_results=tool_results, + context_wrapper=RunContextWrapper(context=None), + config=RunConfig(), + ) + assert result.is_final_output is True + assert result.final_output == "custom" + + +@pytest.mark.asyncio +async def test_custom_tool_use_behavior_async() -> None: + """If tool_use_behavior is an async function, we should await it and propagate its return.""" + + async def behavior( + context: RunContextWrapper, results: list[FunctionToolResult] + ) -> ToolsToFinalOutputResult: + assert len(results) == 3 + return ToolsToFinalOutputResult(is_final_output=True, final_output="async_custom") + + agent = Agent(name="test", tool_use_behavior=behavior) + tool_results = [ + _make_function_tool_result(agent, "ignored1"), + _make_function_tool_result(agent, "ignored2"), + _make_function_tool_result(agent, "ignored3"), + ] + result = await RunImpl._check_for_final_output_from_tools( + agent=agent, + tool_results=tool_results, + context_wrapper=RunContextWrapper(context=None), + config=RunConfig(), + ) + assert result.is_final_output is True + assert result.final_output == "async_custom" + + +@pytest.mark.asyncio +async def test_invalid_tool_use_behavior_raises() -> None: + """If tool_use_behavior is invalid, we should raise a UserError.""" + agent = Agent(name="test") + # Force an invalid value; mypy will complain, so ignore the type here. + agent.tool_use_behavior = "bad_value" # type: ignore[assignment] + tool_results = [_make_function_tool_result(agent, "ignored")] + with pytest.raises(UserError): + await RunImpl._check_for_final_output_from_tools( + agent=agent, + tool_results=tool_results, + context_wrapper=RunContextWrapper(context=None), + config=RunConfig(), + ) From 84363fda96f28fca1fe51bbd9090ef1f70592e02 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 18 Mar 2025 16:46:32 -0400 Subject: [PATCH 010/337] Add min 95% code coverage --- .github/workflows/tests.yml | 4 ++-- Makefile | 8 ++++++++ 2 files changed, 10 insertions(+), 2 deletions(-) diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml index 6dce5c813..c9a56e88b 100644 --- a/.github/workflows/tests.yml +++ b/.github/workflows/tests.yml @@ -50,8 +50,8 @@ jobs: enable-cache: true - name: Install dependencies run: make sync - - name: Run tests - run: make tests + - name: Run tests with coverage + run: make coverage build-docs: runs-on: ubuntu-latest diff --git a/Makefile b/Makefile index 39899d811..fff0461e5 100644 --- a/Makefile +++ b/Makefile @@ -18,6 +18,12 @@ mypy: tests: uv run pytest +.PHONY: coverage +coverage: + uv run coverage run -m pytest + coverage xml -o coverage.xml + coverage report -m --fail-under=95 + .PHONY: snapshots-fix snapshots-fix: uv run pytest --inline-snapshot=fix @@ -42,4 +48,6 @@ serve-docs: .PHONY: deploy-docs deploy-docs: uv run mkdocs gh-deploy --force --verbose + + From 5cb24fb2f7a48bf8c508e7be27b450c9cc2df0bd Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 18 Mar 2025 20:59:02 -0400 Subject: [PATCH 011/337] Fix breaking changes from openai 1.66.2 --- src/agents/models/openai_chatcompletions.py | 7 +- uv.lock | 163 ++++++++++---------- 2 files changed, 87 insertions(+), 83 deletions(-) diff --git a/src/agents/models/openai_chatcompletions.py b/src/agents/models/openai_chatcompletions.py index 3543225dc..7fe981e87 100644 --- a/src/agents/models/openai_chatcompletions.py +++ b/src/agents/models/openai_chatcompletions.py @@ -54,7 +54,7 @@ ResponseUsage, ) from openai.types.responses.response_input_param import FunctionCallOutput, ItemReference, Message -from openai.types.responses.response_usage import OutputTokensDetails +from openai.types.responses.response_usage import InputTokensDetails, OutputTokensDetails from .. import _debug from ..agent_output import AgentOutputSchema @@ -420,6 +420,11 @@ async def stream_response( and usage.completion_tokens_details.reasoning_tokens else 0 ), + input_tokens_details=InputTokensDetails( + cached_tokens=usage.prompt_tokens_details.cached_tokens + if usage.prompt_tokens_details and usage.prompt_tokens_details.cached_tokens + else 0 + ), ) if usage else None diff --git a/uv.lock b/uv.lock index 2c2e05b33..97cf212f3 100644 --- a/uv.lock +++ b/uv.lock @@ -1,5 +1,4 @@ version = 1 -revision = 1 requires-python = ">=3.9" [[package]] @@ -13,7 +12,7 @@ wheels = [ [[package]] name = "anyio" -version = "4.8.0" +version = "4.9.0" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "exceptiongroup", marker = "python_full_version < '3.11'" }, @@ -21,9 +20,9 @@ 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agents import ( - Agent, - AudioInput, - SingleAgentVoiceWorkflow, - SingleAgentWorkflowCallbacks, - VoicePipeline, - function_tool, -) +from agents import Agent, function_tool from agents.extensions.handoff_prompt import prompt_with_handoff_instructions +from agents.voice import (AudioInput, SingleAgentVoiceWorkflow, + SingleAgentWorkflowCallbacks, VoicePipeline) from .util import AudioPlayer, record_audio diff --git a/examples/voice/streamed/agents.py b/examples/voice/streamed/agents.py index dcf312d76..3cb804b0c 100644 --- a/examples/voice/streamed/agents.py +++ b/examples/voice/streamed/agents.py @@ -2,15 +2,9 @@ from collections.abc import AsyncIterator from typing import Callable -from agents import ( - Agent, - Runner, - TResponseInputItem, - VoiceWorkflowBase, - VoiceWorkflowHelper, - function_tool, -) +from agents import Agent, Runner, TResponseInputItem, function_tool from agents.extensions.handoff_prompt import prompt_with_handoff_instructions +from agents.voice import VoiceWorkflowBase, VoiceWorkflowHelper @function_tool diff --git a/examples/voice/streamed/main.py b/examples/voice/streamed/main.py index 36894338b..aef3b36e2 100644 --- a/examples/voice/streamed/main.py +++ b/examples/voice/streamed/main.py @@ -11,8 +11,7 @@ from textual.widgets import Button, RichLog, Static from typing_extensions import override -from agents import VoicePipeline -from agents.voice.input import StreamedAudioInput +from agents.voice import StreamedAudioInput, VoicePipeline from .agents import MyWorkflow diff --git a/src/agents/__init__.py b/src/agents/__init__.py index c0b47dc8e..1ef79b3f6 100644 --- a/src/agents/__init__.py +++ b/src/agents/__init__.py @@ -8,36 +8,17 @@ from .agent import Agent, ToolsToFinalOutputFunction, ToolsToFinalOutputResult from .agent_output import AgentOutputSchema from .computer import AsyncComputer, Button, Computer, Environment -from .exceptions import ( - AgentsException, - InputGuardrailTripwireTriggered, - MaxTurnsExceeded, - ModelBehaviorError, - OutputGuardrailTripwireTriggered, - UserError, -) -from .guardrail import ( - GuardrailFunctionOutput, - InputGuardrail, - InputGuardrailResult, - OutputGuardrail, - OutputGuardrailResult, - input_guardrail, - output_guardrail, -) +from .exceptions import (AgentsException, InputGuardrailTripwireTriggered, + MaxTurnsExceeded, ModelBehaviorError, + OutputGuardrailTripwireTriggered, UserError) +from .guardrail import (GuardrailFunctionOutput, InputGuardrail, + InputGuardrailResult, OutputGuardrail, + OutputGuardrailResult, input_guardrail, + output_guardrail) from .handoffs import Handoff, HandoffInputData, HandoffInputFilter, handoff -from .items import ( - HandoffCallItem, - HandoffOutputItem, - ItemHelpers, - MessageOutputItem, - ModelResponse, - ReasoningItem, - RunItem, - ToolCallItem, - ToolCallOutputItem, - TResponseInputItem, -) +from .items import (HandoffCallItem, HandoffOutputItem, ItemHelpers, + MessageOutputItem, ModelResponse, ReasoningItem, RunItem, + ToolCallItem, ToolCallOutputItem, TResponseInputItem) from .lifecycle import AgentHooks, RunHooks from .model_settings import ModelSettings from .models.interface import Model, ModelProvider, ModelTracing @@ -47,82 +28,23 @@ from .result import RunResult, RunResultStreaming from .run import RunConfig, Runner from .run_context import RunContextWrapper, TContext -from .stream_events import ( - AgentUpdatedStreamEvent, - RawResponsesStreamEvent, - RunItemStreamEvent, - StreamEvent, -) -from .tool import ( - ComputerTool, - FileSearchTool, - FunctionTool, - FunctionToolResult, - Tool, - WebSearchTool, - default_tool_error_function, - function_tool, -) -from .tracing import ( - AgentSpanData, - CustomSpanData, - FunctionSpanData, - GenerationSpanData, - GuardrailSpanData, - HandoffSpanData, - Span, - SpanData, - SpanError, - SpeechGroupSpanData, - SpeechSpanData, - Trace, - TracingProcessor, - TranscriptionSpanData, - add_trace_processor, - agent_span, - custom_span, - function_span, - gen_span_id, - gen_trace_id, - generation_span, - get_current_span, - get_current_trace, - guardrail_span, - handoff_span, - set_trace_processors, - set_tracing_disabled, - set_tracing_export_api_key, - speech_group_span, - speech_span, - trace, - transcription_span, -) +from .stream_events import (AgentUpdatedStreamEvent, RawResponsesStreamEvent, + RunItemStreamEvent, StreamEvent) +from .tool import (ComputerTool, FileSearchTool, FunctionTool, + FunctionToolResult, Tool, WebSearchTool, + default_tool_error_function, function_tool) +from .tracing import (AgentSpanData, CustomSpanData, FunctionSpanData, + GenerationSpanData, GuardrailSpanData, HandoffSpanData, + Span, SpanData, SpanError, SpeechGroupSpanData, + SpeechSpanData, Trace, TracingProcessor, + TranscriptionSpanData, add_trace_processor, agent_span, + custom_span, function_span, gen_span_id, gen_trace_id, + generation_span, get_current_span, get_current_trace, + guardrail_span, handoff_span, set_trace_processors, + set_tracing_disabled, set_tracing_export_api_key, + speech_group_span, speech_span, trace, + transcription_span) from .usage import Usage -from .voice import ( - AudioInput, - OpenAISTTModel, - OpenAISTTTranscriptionSession, - OpenAITTSModel, - OpenAIVoiceModelProvider, - SingleAgentVoiceWorkflow, - SingleAgentWorkflowCallbacks, - StreamedAudioInput, - StreamedAudioResult, - StreamedTranscriptionSession, - STTModel, - STTModelSettings, - TTSModel, - TTSModelSettings, - VoiceModelProvider, - VoicePipeline, - VoicePipelineConfig, - VoiceStreamEvent, - VoiceStreamEventAudio, - VoiceStreamEventLifecycle, - VoiceWorkflowBase, - VoiceWorkflowHelper, - get_sentence_based_splitter, -) def set_default_openai_key(key: str, use_for_tracing: bool = True) -> None: @@ -268,27 +190,4 @@ def enable_verbose_stdout_logging(): "gen_trace_id", "gen_span_id", "default_tool_error_function", - "AudioInput", - "StreamedAudioInput", - "STTModel", - "STTModelSettings", - "TTSModel", - "TTSModelSettings", - "VoiceModelProvider", - "StreamedAudioResult", - "SingleAgentVoiceWorkflow", - "OpenAIVoiceModelProvider", - "OpenAISTTModel", - "OpenAITTSModel", - "VoiceStreamEventAudio", - "VoiceStreamEventLifecycle", - "VoiceStreamEvent", - "VoicePipeline", - "VoicePipelineConfig", - "get_sentence_based_splitter", - "VoiceWorkflowHelper", - "VoiceWorkflowBase", - "StreamedTranscriptionSession", - "OpenAISTTTranscriptionSession", - "SingleAgentWorkflowCallbacks", ] diff --git a/tests/voice/fake_models.py b/tests/voice/fake_models.py index 3febe4286..cdbfb825f 100644 --- a/tests/voice/fake_models.py +++ b/tests/voice/fake_models.py @@ -6,16 +6,13 @@ import numpy as np import numpy.typing as npt -from agents.voice import ( - AudioInput, - StreamedAudioInput, - StreamedTranscriptionSession, - STTModel, - STTModelSettings, - TTSModel, - TTSModelSettings, - VoiceWorkflowBase, -) +try: + from agents.voice import (AudioInput, StreamedAudioInput, + StreamedTranscriptionSession, STTModel, + STTModelSettings, TTSModel, TTSModelSettings, + VoiceWorkflowBase) +except ImportError: + pass class FakeTTS(TTSModel): diff --git a/tests/voice/helpers.py b/tests/voice/helpers.py index d2f9ca2ea..ae902dc1d 100644 --- a/tests/voice/helpers.py +++ b/tests/voice/helpers.py @@ -1,4 +1,7 @@ -from agents.voice import StreamedAudioResult +try: + from agents.voice import StreamedAudioResult +except ImportError: + pass async def extract_events(result: StreamedAudioResult) -> tuple[list[str], list[bytes]]: diff --git a/tests/voice/test_input.py b/tests/voice/test_input.py index 7d4197b5c..d41d870d7 100644 --- a/tests/voice/test_input.py +++ b/tests/voice/test_input.py @@ -4,9 +4,12 @@ import numpy as np import pytest -from agents import UserError -from agents.voice import AudioInput, StreamedAudioInput -from agents.voice.input import DEFAULT_SAMPLE_RATE, _buffer_to_audio_file +try: + from agents import UserError + from agents.voice import AudioInput, StreamedAudioInput + from agents.voice.input import DEFAULT_SAMPLE_RATE, _buffer_to_audio_file +except ImportError: + pass def test_buffer_to_audio_file_int16(): diff --git a/tests/voice/test_openai_stt.py b/tests/voice/test_openai_stt.py index bb8d3cf82..cbc4aaefc 100644 --- a/tests/voice/test_openai_stt.py +++ b/tests/voice/test_openai_stt.py @@ -8,11 +8,16 @@ import numpy as np import pytest -from agents.voice import OpenAISTTTranscriptionSession, StreamedAudioInput, STTModelSettings -from agents.voice.exceptions import STTWebsocketConnectionError -from agents.voice.models.openai_stt import EVENT_INACTIVITY_TIMEOUT +try: + from agents.voice import (OpenAISTTTranscriptionSession, + StreamedAudioInput, STTModelSettings) + from agents.voice.exceptions import STTWebsocketConnectionError + from agents.voice.models.openai_stt import EVENT_INACTIVITY_TIMEOUT + + from .fake_models import FakeStreamedAudioInput +except ImportError: + pass -from .fake_models import FakeStreamedAudioInput # ===== Helpers ===== diff --git a/tests/voice/test_openai_tts.py b/tests/voice/test_openai_tts.py index 0fbd6ba8e..b18f9e8c0 100644 --- a/tests/voice/test_openai_tts.py +++ b/tests/voice/test_openai_tts.py @@ -5,7 +5,10 @@ import pytest -from agents.voice import OpenAITTSModel, TTSModelSettings +try: + from agents.voice import OpenAITTSModel, TTSModelSettings +except ImportError: + pass class _FakeStreamResponse: diff --git a/tests/voice/test_pipeline.py b/tests/voice/test_pipeline.py index f98802674..b28881004 100644 --- a/tests/voice/test_pipeline.py +++ b/tests/voice/test_pipeline.py @@ -4,10 +4,15 @@ import numpy.typing as npt import pytest -from agents.voice import AudioInput, TTSModelSettings, VoicePipeline, VoicePipelineConfig - -from .fake_models import FakeStreamedAudioInput, FakeSTT, FakeTTS, FakeWorkflow -from .helpers import extract_events +try: + from agents.voice import (AudioInput, TTSModelSettings, VoicePipeline, + VoicePipelineConfig) + + from .fake_models import (FakeStreamedAudioInput, FakeSTT, FakeTTS, + FakeWorkflow) + from .helpers import extract_events +except ImportError: + pass @pytest.mark.asyncio diff --git a/tests/voice/test_workflow.py b/tests/voice/test_workflow.py index 465c12470..4c2983c08 100644 --- a/tests/voice/test_workflow.py +++ b/tests/voice/test_workflow.py @@ -6,21 +6,23 @@ import pytest from inline_snapshot import snapshot from openai.types.responses import ResponseCompletedEvent -from openai.types.responses.response_text_delta_event import ResponseTextDeltaEvent +from openai.types.responses.response_text_delta_event import \ + ResponseTextDeltaEvent from agents import Agent, Model, ModelSettings, ModelTracing, Tool from agents.agent_output import AgentOutputSchema from agents.handoffs import Handoff -from agents.items import ( - ModelResponse, - TResponseInputItem, - TResponseOutputItem, - TResponseStreamEvent, -) -from agents.voice import SingleAgentVoiceWorkflow - -from ..fake_model import get_response_obj -from ..test_responses import get_function_tool, get_function_tool_call, get_text_message +from agents.items import (ModelResponse, TResponseInputItem, + TResponseOutputItem, TResponseStreamEvent) + +try: + from agents.voice import SingleAgentVoiceWorkflow + + from ..fake_model import get_response_obj + from ..test_responses import (get_function_tool, get_function_tool_call, + get_text_message) +except ImportError: + pass class FakeStreamingModel(Model): From 9de7b19df87fcda52b6017d48c97ff3975fd7dd6 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 21 Mar 2025 14:33:27 -0400 Subject: [PATCH 014/337] Read tracing API data lazily --- src/agents/tracing/processors.py | 22 +++++++++++++++++++--- 1 file changed, 19 insertions(+), 3 deletions(-) diff --git a/src/agents/tracing/processors.py b/src/agents/tracing/processors.py index 1b39deda3..859eec2b4 100644 --- a/src/agents/tracing/processors.py +++ b/src/agents/tracing/processors.py @@ -50,9 +50,9 @@ def __init__( base_delay: Base delay (in seconds) for the first backoff. max_delay: Maximum delay (in seconds) for backoff growth. """ - self.api_key = api_key or os.environ.get("OPENAI_API_KEY") - self.organization = organization or os.environ.get("OPENAI_ORG_ID") - self.project = project or os.environ.get("OPENAI_PROJECT_ID") + self.api_key = api_key + self.organization = organization + self.project = project self.endpoint = endpoint self.max_retries = max_retries self.base_delay = base_delay @@ -61,6 +61,8 @@ def __init__( # Keep a client open for connection pooling across multiple export calls self._client = httpx.Client(timeout=httpx.Timeout(timeout=60, connect=5.0)) + self._lazy_read_complete = False + def set_api_key(self, api_key: str): """Set the OpenAI API key for the exporter. @@ -70,10 +72,24 @@ def set_api_key(self, api_key: str): """ self.api_key = api_key + def _lazy_read_api_data_from_env(self): + if self._lazy_read_complete: + return + + self._lazy_read_complete = True + if not self.api_key: + self.api_key = os.environ.get("OPENAI_API_KEY") + if not self.organization: + self.organization = os.environ.get("OPENAI_ORG_ID") + if not self.project: + self.project = os.environ.get("OPENAI_PROJECT_ID") + def export(self, items: list[Trace | Span[Any]]) -> None: if not items: return + self._lazy_read_api_data_from_env() + if not self.api_key: logger.warning("OPENAI_API_KEY is not set, skipping trace export") return From 29d1d473ab45e5b9e2dd2acf89c2f2881f492e0a Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 21 Mar 2025 14:33:27 -0400 Subject: [PATCH 015/337] Read tracing API data lazily --- src/agents/tracing/processors.py | 21 ++++++++++++++++++--- 1 file changed, 18 insertions(+), 3 deletions(-) diff --git a/src/agents/tracing/processors.py b/src/agents/tracing/processors.py index 1b39deda3..6d6cf7b2a 100644 --- a/src/agents/tracing/processors.py +++ b/src/agents/tracing/processors.py @@ -5,6 +5,7 @@ import random import threading import time +from functools import cached_property from typing import Any import httpx @@ -50,9 +51,9 @@ def __init__( base_delay: Base delay (in seconds) for the first backoff. max_delay: Maximum delay (in seconds) for backoff growth. """ - self.api_key = api_key or os.environ.get("OPENAI_API_KEY") - self.organization = organization or os.environ.get("OPENAI_ORG_ID") - self.project = project or os.environ.get("OPENAI_PROJECT_ID") + self._api_key = api_key + self._organization = organization + self._project = project self.endpoint = endpoint self.max_retries = max_retries self.base_delay = base_delay @@ -61,6 +62,8 @@ def __init__( # Keep a client open for connection pooling across multiple export calls self._client = httpx.Client(timeout=httpx.Timeout(timeout=60, connect=5.0)) + self._lazy_read_complete = False + def set_api_key(self, api_key: str): """Set the OpenAI API key for the exporter. @@ -70,6 +73,18 @@ def set_api_key(self, api_key: str): """ self.api_key = api_key + @cached_property + def api_key(self): + return self._api_key or os.environ.get("OPENAI_API_KEY") + + @cached_property + def organization(self): + return self._organization or os.environ.get("OPENAI_ORG_ID") + + @cached_property + def project(self): + return self._project or os.environ.get("OPENAI_PROJECT_ID") + def export(self, items: list[Trace | Span[Any]]) -> None: if not items: return From 6168340dff281ada7d5eb807f50af76df0ed68ac Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 21 Mar 2025 14:33:27 -0400 Subject: [PATCH 016/337] Read tracing API data lazily --- src/agents/tracing/processors.py | 25 +++++++++++++++++++++---- 1 file changed, 21 insertions(+), 4 deletions(-) diff --git a/src/agents/tracing/processors.py b/src/agents/tracing/processors.py index 1b39deda3..dc3143e0a 100644 --- a/src/agents/tracing/processors.py +++ b/src/agents/tracing/processors.py @@ -5,6 +5,7 @@ import random import threading import time +from functools import cached_property from typing import Any import httpx @@ -50,9 +51,9 @@ def __init__( base_delay: Base delay (in seconds) for the first backoff. max_delay: Maximum delay (in seconds) for backoff growth. """ - self.api_key = api_key or os.environ.get("OPENAI_API_KEY") - self.organization = organization or os.environ.get("OPENAI_ORG_ID") - self.project = project or os.environ.get("OPENAI_PROJECT_ID") + self._api_key = api_key + self._organization = organization + self._project = project self.endpoint = endpoint self.max_retries = max_retries self.base_delay = base_delay @@ -61,6 +62,8 @@ def __init__( # Keep a client open for connection pooling across multiple export calls self._client = httpx.Client(timeout=httpx.Timeout(timeout=60, connect=5.0)) + self._lazy_read_complete = False + def set_api_key(self, api_key: str): """Set the OpenAI API key for the exporter. @@ -68,7 +71,21 @@ def set_api_key(self, api_key: str): api_key: The OpenAI API key to use. This is the same key used by the OpenAI Python client. """ - self.api_key = api_key + # Reset the cached property + del self.api_key + self._api_key = api_key + + @cached_property + def api_key(self): + return self._api_key or os.environ.get("OPENAI_API_KEY") + + @cached_property + def organization(self): + return self._organization or os.environ.get("OPENAI_ORG_ID") + + @cached_property + def project(self): + return self._project or os.environ.get("OPENAI_PROJECT_ID") def export(self, items: list[Trace | Span[Any]]) -> None: if not items: From 2edd037adb374c90c71068ae9be7d60098e3b7fc Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 21 Mar 2025 14:33:27 -0400 Subject: [PATCH 017/337] Read tracing API data lazily --- src/agents/tracing/processors.py | 25 ++++++++++++++++++++---- tests/tracing/test_processor_api_key.py | 26 +++++++++++++++++++++++++ 2 files changed, 47 insertions(+), 4 deletions(-) create mode 100644 tests/tracing/test_processor_api_key.py diff --git a/src/agents/tracing/processors.py b/src/agents/tracing/processors.py index 1b39deda3..dc3143e0a 100644 --- a/src/agents/tracing/processors.py +++ b/src/agents/tracing/processors.py @@ -5,6 +5,7 @@ import random import threading import time +from functools import cached_property from typing import Any import httpx @@ -50,9 +51,9 @@ def __init__( base_delay: Base delay (in seconds) for the first backoff. max_delay: Maximum delay (in seconds) for backoff growth. """ - self.api_key = api_key or os.environ.get("OPENAI_API_KEY") - self.organization = organization or os.environ.get("OPENAI_ORG_ID") - self.project = project or os.environ.get("OPENAI_PROJECT_ID") + self._api_key = api_key + self._organization = organization + self._project = project self.endpoint = endpoint self.max_retries = max_retries self.base_delay = base_delay @@ -61,6 +62,8 @@ def __init__( # Keep a client open for connection pooling across multiple export calls self._client = httpx.Client(timeout=httpx.Timeout(timeout=60, connect=5.0)) + self._lazy_read_complete = False + def set_api_key(self, api_key: str): """Set the OpenAI API key for the exporter. @@ -68,7 +71,21 @@ def set_api_key(self, api_key: str): api_key: The OpenAI API key to use. This is the same key used by the OpenAI Python client. """ - self.api_key = api_key + # Reset the cached property + del self.api_key + self._api_key = api_key + + @cached_property + def api_key(self): + return self._api_key or os.environ.get("OPENAI_API_KEY") + + @cached_property + def organization(self): + return self._organization or os.environ.get("OPENAI_ORG_ID") + + @cached_property + def project(self): + return self._project or os.environ.get("OPENAI_PROJECT_ID") def export(self, items: list[Trace | Span[Any]]) -> None: if not items: diff --git a/tests/tracing/test_processor_api_key.py b/tests/tracing/test_processor_api_key.py new file mode 100644 index 000000000..12297006e --- /dev/null +++ b/tests/tracing/test_processor_api_key.py @@ -0,0 +1,26 @@ +import pytest + +from agents.tracing.processors import BackendSpanExporter + + +@pytest.mark.asyncio +async def test_processor_api_key(monkeypatch): + # If the API key is not set, it should be None + monkeypatch.delenv("OPENAI_API_KEY", None) + processor = BackendSpanExporter() + assert processor.api_key is None + + # If we set it afterwards, it should be the new value + processor.set_api_key("test_api_key") + assert processor.api_key == "test_api_key" + + +@pytest.mark.asyncio +async def test_processor_api_key_from_env(monkeypatch): + # If the API key is not set at creation time but set before access time, it should be the new value + monkeypatch.delenv("OPENAI_API_KEY", None) + processor = BackendSpanExporter() + + # If we set it afterwards, it should be the new value + monkeypatch.setenv("OPENAI_API_KEY", "foo_bar_123") + assert processor.api_key == "foo_bar_123" From fe0732e7c7694b10035c8de3e8b40e612e052041 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 21 Mar 2025 14:33:27 -0400 Subject: [PATCH 018/337] Read tracing API data lazily --- src/agents/tracing/processors.py | 23 ++++++++++++++++++---- tests/tracing/test_processor_api_key.py | 26 +++++++++++++++++++++++++ 2 files changed, 45 insertions(+), 4 deletions(-) create mode 100644 tests/tracing/test_processor_api_key.py diff --git a/src/agents/tracing/processors.py b/src/agents/tracing/processors.py index 1b39deda3..404b8142b 100644 --- a/src/agents/tracing/processors.py +++ b/src/agents/tracing/processors.py @@ -5,6 +5,7 @@ import random import threading import time +from functools import cached_property from typing import Any import httpx @@ -50,9 +51,9 @@ def __init__( base_delay: Base delay (in seconds) for the first backoff. max_delay: Maximum delay (in seconds) for backoff growth. """ - self.api_key = api_key or os.environ.get("OPENAI_API_KEY") - self.organization = organization or os.environ.get("OPENAI_ORG_ID") - self.project = project or os.environ.get("OPENAI_PROJECT_ID") + self._api_key = api_key + self._organization = organization + self._project = project self.endpoint = endpoint self.max_retries = max_retries self.base_delay = base_delay @@ -68,7 +69,21 @@ def set_api_key(self, api_key: str): api_key: The OpenAI API key to use. This is the same key used by the OpenAI Python client. """ - self.api_key = api_key + # Reset the cached property + del self.api_key + self._api_key = api_key + + @cached_property + def api_key(self): + return self._api_key or os.environ.get("OPENAI_API_KEY") + + @cached_property + def organization(self): + return self._organization or os.environ.get("OPENAI_ORG_ID") + + @cached_property + def project(self): + return self._project or os.environ.get("OPENAI_PROJECT_ID") def export(self, items: list[Trace | Span[Any]]) -> None: if not items: diff --git a/tests/tracing/test_processor_api_key.py b/tests/tracing/test_processor_api_key.py new file mode 100644 index 000000000..12297006e --- /dev/null +++ b/tests/tracing/test_processor_api_key.py @@ -0,0 +1,26 @@ +import pytest + +from agents.tracing.processors import BackendSpanExporter + + +@pytest.mark.asyncio +async def test_processor_api_key(monkeypatch): + # If the API key is not set, it should be None + monkeypatch.delenv("OPENAI_API_KEY", None) + processor = BackendSpanExporter() + assert processor.api_key is None + + # If we set it afterwards, it should be the new value + processor.set_api_key("test_api_key") + assert processor.api_key == "test_api_key" + + +@pytest.mark.asyncio +async def test_processor_api_key_from_env(monkeypatch): + # If the API key is not set at creation time but set before access time, it should be the new value + monkeypatch.delenv("OPENAI_API_KEY", None) + processor = BackendSpanExporter() + + # If we set it afterwards, it should be the new value + monkeypatch.setenv("OPENAI_API_KEY", "foo_bar_123") + assert processor.api_key == "foo_bar_123" From 254aaa06a0c69b31d451d15d18ee08efa268258d Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 24 Mar 2025 14:56:45 -0400 Subject: [PATCH 019/337] Only run tests on py3.9, not mypy --- .github/workflows/tests.yml | 3 +++ Makefile | 1 - 2 files changed, 3 insertions(+), 1 deletion(-) diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml index c9a56e88b..4f93980a2 100644 --- a/.github/workflows/tests.yml +++ b/.github/workflows/tests.yml @@ -8,6 +8,9 @@ on: branches: - main +env: + UV_FROZEN: "1" + jobs: lint: runs-on: ubuntu-latest diff --git a/Makefile b/Makefile index f6b779e36..accf2d914 100644 --- a/Makefile +++ b/Makefile @@ -37,7 +37,6 @@ snapshots-create: .PHONY: old_version_tests old_version_tests: UV_PROJECT_ENVIRONMENT=.venv_39 uv run --python 3.9 -m pytest - UV_PROJECT_ENVIRONMENT=.venv_39 uv run --python 3.9 -m mypy . .PHONY: build-docs build-docs: From 37b5749d29deab2a466ced87eb685e03b04b76bb Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 24 Mar 2025 14:58:01 -0400 Subject: [PATCH 020/337] [1/n] Add MCP types to the SDK ### Summary: 1. Add the MCP dep for python 3.10, since it doesn't support 3.9 and below 2. Create MCPServer, which is the agents SDK representation of an MCP server 3. Create implementations for HTTP-SSE and StdIO servers, directly copying the [MCP SDK example](https://github.com/modelcontextprotocol/python-sdk/blob/main/examples/clients/simple-chatbot/mcp_simple_chatbot/main.py) 4. Add a util to transform MCP tools into Agent SDK tools Note: I added optional caching support to the servers. That way, if you happen to know a server's tools don't change, you can just cache them. ### Test Plan: Checks pass. I added tests at the end of the stack. --- pyproject.toml | 1 + src/agents/mcp/__init__.py | 21 +++ src/agents/mcp/mcp_util.py | 94 +++++++++++++ src/agents/mcp/server.py | 269 +++++++++++++++++++++++++++++++++++++ src/agents/mcp/util.py | 96 +++++++++++++ uv.lock | 93 ++++++++++++- 6 files changed, 572 insertions(+), 2 deletions(-) create mode 100644 src/agents/mcp/__init__.py create mode 100644 src/agents/mcp/mcp_util.py create mode 100644 src/agents/mcp/server.py create mode 100644 src/agents/mcp/util.py diff --git a/pyproject.toml b/pyproject.toml index 667ab3550..3678c7149 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -13,6 +13,7 @@ dependencies = [ "typing-extensions>=4.12.2, <5", "requests>=2.0, <3", "types-requests>=2.0, <3", + "mcp; python_version >= '3.10'", ] classifiers = [ "Typing :: Typed", diff --git a/src/agents/mcp/__init__.py b/src/agents/mcp/__init__.py new file mode 100644 index 000000000..1a72a89f0 --- /dev/null +++ b/src/agents/mcp/__init__.py @@ -0,0 +1,21 @@ +try: + from .server import ( + MCPServer, + MCPServerSse, + MCPServerSseParams, + MCPServerStdio, + MCPServerStdioParams, + ) +except ImportError: + pass + +from .util import MCPUtil + +__all__ = [ + "MCPServer", + "MCPServerSse", + "MCPServerSseParams", + "MCPServerStdio", + "MCPServerStdioParams", + "MCPUtil", +] diff --git a/src/agents/mcp/mcp_util.py b/src/agents/mcp/mcp_util.py new file mode 100644 index 000000000..41b4c521f --- /dev/null +++ b/src/agents/mcp/mcp_util.py @@ -0,0 +1,94 @@ +import functools +import json +from typing import Any + +from mcp.types import Tool as MCPTool + +from .. import _debug +from ..exceptions import AgentsException, ModelBehaviorError, UserError +from ..logger import logger +from ..run_context import RunContextWrapper +from ..tool import FunctionTool, Tool +from .server import MCPServer + + +class MCPUtil: + """Set of utilities for interop between MCP and Agents SDK tools.""" + + @classmethod + async def get_all_function_tools(cls, servers: list[MCPServer]) -> list[Tool]: + """Get all function tools from a list of MCP servers.""" + tools = [] + tool_names: set[str] = set() + for server in servers: + server_tools = await cls.get_function_tools(server) + server_tool_names = {tool.name for tool in server_tools} + if len(server_tool_names & tool_names) > 0: + raise UserError( + f"Duplicate tool names found across MCP servers: " + f"{server_tool_names & tool_names}" + ) + tool_names.update(server_tool_names) + tools.extend(server_tools) + + return tools + + @classmethod + async def get_function_tools(cls, server: MCPServer) -> list[Tool]: + """Get all function tools from a single MCP server.""" + tools = await server.list_tools() + return [cls.to_function_tool(tool, server) for tool in tools] + + @classmethod + def to_function_tool(cls, tool: MCPTool, server: MCPServer) -> FunctionTool: + """Convert an MCP tool to an Agents SDK function tool.""" + invoke_func = functools.partial(cls.invoke_mcp_tool, server, tool) + return FunctionTool( + name=tool.name, + description=tool.description or "", + params_json_schema=tool.inputSchema, + on_invoke_tool=invoke_func, + strict_json_schema=False, + ) + + @classmethod + async def invoke_mcp_tool( + cls, server: MCPServer, tool: MCPTool, context: RunContextWrapper[Any], input_json: str + ) -> str: + """Invoke an MCP tool and return the result as a string.""" + try: + json_data: dict[str, Any] = json.loads(input_json) if input_json else {} + except Exception as e: + if _debug.DONT_LOG_TOOL_DATA: + logger.debug(f"Invalid JSON input for tool {tool.name}") + else: + logger.debug(f"Invalid JSON input for tool {tool.name}: {input_json}") + raise ModelBehaviorError( + f"Invalid JSON input for tool {tool.name}: {input_json}" + ) from e + + if _debug.DONT_LOG_TOOL_DATA: + logger.debug(f"Invoking MCP tool {tool.name}") + else: + logger.debug(f"Invoking MCP tool {tool.name} with input {input_json}") + + try: + result = await server.call_tool(tool.name, json_data) + except Exception as e: + logger.error(f"Error invoking MCP tool {tool.name}: {e}") + raise AgentsException(f"Error invoking MCP tool {tool.name}: {e}") from e + + if _debug.DONT_LOG_TOOL_DATA: + logger.debug(f"MCP tool {tool.name} completed.") + else: + logger.debug(f"MCP tool {tool.name} returned {result}") + + # The MCP tool result is a list of content items, whereas OpenAI tool outputs are a single + # string. We'll try to convert. + if len(result.content) == 1: + return result.content[0].model_dump_json() + elif len(result.content) > 1: + return json.dumps([item.model_dump() for item in result.content]) + else: + logger.error(f"Errored MCP tool result: {result}") + return "Error running tool." diff --git a/src/agents/mcp/server.py b/src/agents/mcp/server.py new file mode 100644 index 000000000..e19e686af --- /dev/null +++ b/src/agents/mcp/server.py @@ -0,0 +1,269 @@ +from __future__ import annotations + +import abc +import asyncio +from contextlib import AbstractAsyncContextManager, AsyncExitStack +from pathlib import Path +from typing import Any, Literal + +from anyio.streams.memory import MemoryObjectReceiveStream, MemoryObjectSendStream +from mcp import ClientSession, StdioServerParameters, Tool as MCPTool, stdio_client +from mcp.client.sse import sse_client +from mcp.types import CallToolResult, JSONRPCMessage +from typing_extensions import NotRequired, TypedDict + +from ..exceptions import UserError +from ..logger import logger + + +class MCPServer(abc.ABC): + """Base class for Model Context Protocol servers.""" + + @abc.abstractmethod + async def connect(self): + """Connect to the server. For example, this might mean spawning a subprocess or + opening a network connection. The server is expected to remain connected until + `cleanup()` is called. + """ + pass + + @abc.abstractmethod + async def cleanup(self): + """Cleanup the server. For example, this might mean closing a subprocess or + closing a network connection. + """ + pass + + @abc.abstractmethod + async def list_tools(self) -> list[MCPTool]: + """List the tools available on the server.""" + pass + + @abc.abstractmethod + async def call_tool(self, tool_name: str, arguments: dict[str, Any] | None) -> CallToolResult: + """Invoke a tool on the server.""" + pass + + +class _MCPServerWithClientSession(MCPServer, abc.ABC): + """Base class for MCP servers that use a `ClientSession` to communicate with the server.""" + + def __init__(self, cache_tools_list: bool): + """ + Args: + cache_tools_list: Whether to cache the tools list. If `True`, the tools list will be + cached and only fetched from the server once. If `False`, the tools list will be + fetched from the server on each call to `list_tools()`. The cache can be invalidated + by calling `invalidate_tools_cache()`. You should set this to `True` if you know the + server will not change its tools list, because it can drastically improve latency + (by avoiding a round-trip to the server every time). + """ + self.session: ClientSession | None = None + self.exit_stack: AsyncExitStack = AsyncExitStack() + self._cleanup_lock: asyncio.Lock = asyncio.Lock() + self.cache_tools_list = cache_tools_list + + # The cache is always dirty at startup, so that we fetch tools at least once + self._cache_dirty = True + self._tools_list: list[MCPTool] | None = None + + @abc.abstractmethod + def create_streams( + self, + ) -> AbstractAsyncContextManager[ + tuple[ + MemoryObjectReceiveStream[JSONRPCMessage | Exception], + MemoryObjectSendStream[JSONRPCMessage], + ] + ]: + """Create the streams for the server.""" + pass + + async def __aenter__(self): + await self.connect() + return self + + async def __aexit__(self, exc_type, exc_value, traceback): + await self.cleanup() + + def invalidate_tools_cache(self): + """Invalidate the tools cache.""" + self._cache_dirty = True + + async def connect(self): + """Connect to the server.""" + try: + transport = await self.exit_stack.enter_async_context(self.create_streams()) + read, write = transport + session = await self.exit_stack.enter_async_context(ClientSession(read, write)) + await session.initialize() + self.session = session + except Exception as e: + logger.error(f"Error initializing MCP server: {e}") + await self.cleanup() + raise + + async def list_tools(self) -> list[MCPTool]: + """List the tools available on the server.""" + if not self.session: + raise UserError("Server not initialized. Make sure you call `connect()` first.") + + # Return from cache if caching is enabled, we have tools, and the cache is not dirty + if self.cache_tools_list and not self._cache_dirty and self._tools_list: + return self._tools_list + + # Reset the cache dirty to False + self._cache_dirty = False + + # Fetch the tools from the server + self._tools_list = (await self.session.list_tools()).tools + return self._tools_list + + async def call_tool(self, tool_name: str, arguments: dict[str, Any] | None) -> CallToolResult: + """Invoke a tool on the server.""" + if not self.session: + raise UserError("Server not initialized. Make sure you call `connect()` first.") + + return await self.session.call_tool(tool_name, arguments) + + async def cleanup(self): + """Cleanup the server.""" + async with self._cleanup_lock: + try: + await self.exit_stack.aclose() + self.session = None + except Exception as e: + logger.error(f"Error cleaning up server: {e}") + + +class MCPServerStdioParams(TypedDict): + """Mirrors `mcp.client.stdio.StdioServerParameters`, but lets you pass params without another + import. + """ + + command: str + """The executable to run to start the server. For example, `python` or `node`.""" + + args: NotRequired[list[str]] + """Command line args to pass to the `command` executable. For example, `['foo.py']` or + `['server.js', '--port', '8080']`.""" + + env: NotRequired[dict[str, str]] + """The environment variables to set for the server. .""" + + cwd: NotRequired[str | Path] + """The working directory to use when spawning the process.""" + + encoding: NotRequired[str] + """The text encoding used when sending/receiving messages to the server. Defaults to `utf-8`.""" + + encoding_error_handler: NotRequired[Literal["strict", "ignore", "replace"]] + """The text encoding error handler. Defaults to `strict`. + + See https://docs.python.org/3/library/codecs.html#codec-base-classes for + explanations of possible values. + """ + + +class MCPServerStdio(_MCPServerWithClientSession): + """MCP server implementation that uses the stdio transport. See the [spec] + (https://spec.modelcontextprotocol.io/specification/2024-11-05/basic/transports/#stdio) for + details. + """ + + def __init__(self, params: MCPServerStdioParams, cache_tools_list: bool = False): + """Create a new MCP server based on the stdio transport. + + Args: + params: The params that configure the server. This includes: + - The command (e.g. `python` or `node`) that starts the server. + - The args to pass to the server command (e.g. `foo.py` or `server.js`). + - The environment variables to set for the server. + cache_tools_list: Whether to cache the tools list. If `True`, the tools list will be + cached and only fetched from the server once. If `False`, the tools list will be + fetched from the server on each call to `list_tools()`. The cache can be + invalidated by calling `invalidate_tools_cache()`. You should set this to `True` + if you know the server will not change its tools list, because it can drastically + improve latency (by avoiding a round-trip to the server every time). + """ + super().__init__(cache_tools_list) + + self.params = StdioServerParameters( + command=params["command"], + args=params.get("args", []), + env=params.get("env"), + cwd=params.get("cwd"), + encoding=params.get("encoding", "utf-8"), + encoding_error_handler=params.get("encoding_error_handler", "strict"), + ) + + def create_streams( + self, + ) -> AbstractAsyncContextManager[ + tuple[ + MemoryObjectReceiveStream[JSONRPCMessage | Exception], + MemoryObjectSendStream[JSONRPCMessage], + ] + ]: + """Create the streams for the server.""" + return stdio_client(self.params) + + +class MCPServerSseParams(TypedDict): + """Mirrors the params in`mcp.client.sse.sse_client`.""" + + url: str + """The URL of the server.""" + + headers: NotRequired[dict[str, str]] + """The headers to send to the server.""" + + timeout: NotRequired[float] + """The timeout for the HTTP request. Defaults to 5 seconds.""" + + sse_read_timeout: NotRequired[float] + """The timeout for the SSE connection, in seconds. Defaults to 5 minutes.""" + + +class MCPServerSse(_MCPServerWithClientSession): + """MCP server implementation that uses the HTTP with SSE transport. See the [spec] + (https://spec.modelcontextprotocol.io/specification/2024-11-05/basic/transports/#http-with-sse) + for details. + """ + + def __init__(self, params: MCPServerSseParams, cache_tools_list: bool = False): + """Create a new MCP server based on the HTTP with SSE transport. + + Args: + params: The params that configure the server. This includes: + - The URL of the server. + - The headers to send to the server. + - The timeout for the HTTP request. + - The timeout for the SSE connection. + + cache_tools_list: Whether to cache the tools list. If `True`, the tools list will be + cached and only fetched from the server once. If `False`, the tools list will be + fetched from the server on each call to `list_tools()`. The cache can be + invalidated by calling `invalidate_tools_cache()`. You should set this to `True` + if you know the server will not change its tools list, because it can drastically + improve latency (by avoiding a round-trip to the server every time). + """ + super().__init__(cache_tools_list) + + self.params = params + + def create_streams( + self, + ) -> AbstractAsyncContextManager[ + tuple[ + MemoryObjectReceiveStream[JSONRPCMessage | Exception], + MemoryObjectSendStream[JSONRPCMessage], + ] + ]: + """Create the streams for the server.""" + return sse_client( + url=self.params["url"], + headers=self.params.get("headers", None), + timeout=self.params.get("timeout", 5), + sse_read_timeout=self.params.get("sse_read_timeout", 60 * 5), + ) diff --git a/src/agents/mcp/util.py b/src/agents/mcp/util.py new file mode 100644 index 000000000..038c4fecf --- /dev/null +++ b/src/agents/mcp/util.py @@ -0,0 +1,96 @@ +import functools +import json +from typing import TYPE_CHECKING, Any + +from .. import _debug +from ..exceptions import AgentsException, ModelBehaviorError, UserError +from ..logger import logger +from ..run_context import RunContextWrapper +from ..tool import FunctionTool, Tool + +if TYPE_CHECKING: + from mcp.types import Tool as MCPTool + + from .server import MCPServer + + +class MCPUtil: + """Set of utilities for interop between MCP and Agents SDK tools.""" + + @classmethod + async def get_all_function_tools(cls, servers: list["MCPServer"]) -> list[Tool]: + """Get all function tools from a list of MCP servers.""" + tools = [] + tool_names: set[str] = set() + for server in servers: + server_tools = await cls.get_function_tools(server) + server_tool_names = {tool.name for tool in server_tools} + if len(server_tool_names & tool_names) > 0: + raise UserError( + f"Duplicate tool names found across MCP servers: " + f"{server_tool_names & tool_names}" + ) + tool_names.update(server_tool_names) + tools.extend(server_tools) + + return tools + + @classmethod + async def get_function_tools(cls, server: "MCPServer") -> list[Tool]: + """Get all function tools from a single MCP server.""" + tools = await server.list_tools() + return [cls.to_function_tool(tool, server) for tool in tools] + + @classmethod + def to_function_tool(cls, tool: "MCPTool", server: "MCPServer") -> FunctionTool: + """Convert an MCP tool to an Agents SDK function tool.""" + invoke_func = functools.partial(cls.invoke_mcp_tool, server, tool) + return FunctionTool( + name=tool.name, + description=tool.description or "", + params_json_schema=tool.inputSchema, + on_invoke_tool=invoke_func, + strict_json_schema=False, + ) + + @classmethod + async def invoke_mcp_tool( + cls, server: "MCPServer", tool: "MCPTool", context: RunContextWrapper[Any], input_json: str + ) -> str: + """Invoke an MCP tool and return the result as a string.""" + try: + json_data: dict[str, Any] = json.loads(input_json) if input_json else {} + except Exception as e: + if _debug.DONT_LOG_TOOL_DATA: + logger.debug(f"Invalid JSON input for tool {tool.name}") + else: + logger.debug(f"Invalid JSON input for tool {tool.name}: {input_json}") + raise ModelBehaviorError( + f"Invalid JSON input for tool {tool.name}: {input_json}" + ) from e + + if _debug.DONT_LOG_TOOL_DATA: + logger.debug(f"Invoking MCP tool {tool.name}") + else: + logger.debug(f"Invoking MCP tool {tool.name} with input {input_json}") + + try: + result = await server.call_tool(tool.name, json_data) + except Exception as e: + logger.error(f"Error invoking MCP tool {tool.name}: {e}") + raise AgentsException(f"Error invoking MCP tool {tool.name}: {e}") from e + + if _debug.DONT_LOG_TOOL_DATA: + logger.debug(f"MCP tool {tool.name} completed.") + else: + logger.debug(f"MCP tool {tool.name} returned {result}") + + # The MCP tool result is a list of content items, whereas OpenAI tool outputs are a single + # string. We'll try to convert. + if len(result.content) == 1: + return result.content[0].model_dump_json() + elif len(result.content) > 1: + return json.dumps([item.model_dump() for item in result.content]) + else: + logger.error(f"Errored MCP tool result: {result}") + return "Error running tool." diff --git a/uv.lock b/uv.lock index a9c79e214..d6eba43fe 100644 --- a/uv.lock +++ b/uv.lock @@ -1,5 +1,4 @@ version = 1 -revision = 1 requires-python = ">=3.9" resolution-markers = [ "python_full_version >= '3.10'", @@ -459,6 +458,15 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/2a/39/e50c7c3a983047577ee07d2a9e53faf5a69493943ec3f6a384bdc792deb2/httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad", size = 73517 }, ] +[[package]] +name = "httpx-sse" +version = "0.4.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = 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"2.1.2" @@ -1774,6 +1849,20 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/c8/19/4ec628951a74043532ca2cf5d97b7b14863931476d117c471e8e2b1eb39f/urllib3-2.3.0-py3-none-any.whl", hash = "sha256:1cee9ad369867bfdbbb48b7dd50374c0967a0bb7710050facf0dd6911440e3df", size = 128369 }, ] +[[package]] +name = "uvicorn" +version = "0.34.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "click", marker = "python_full_version >= '3.10'" }, + { name = "h11", marker = "python_full_version >= '3.10'" }, + { name = "typing-extensions", marker = "python_full_version == '3.10.*'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/4b/4d/938bd85e5bf2edeec766267a5015ad969730bb91e31b44021dfe8b22df6c/uvicorn-0.34.0.tar.gz", hash = "sha256:404051050cd7e905de2c9a7e61790943440b3416f49cb409f965d9dcd0fa73e9", size = 76568 } +wheels = [ + { url = "https://files.pythonhosted.org/packages/61/14/33a3a1352cfa71812a3a21e8c9bfb83f60b0011f5e36f2b1399d51928209/uvicorn-0.34.0-py3-none-any.whl", hash = "sha256:023dc038422502fa28a09c7a30bf2b6991512da7dcdb8fd35fe57cfc154126f4", size = 62315 }, +] + [[package]] name = "watchdog" version = "6.0.0" From 074376338c61225dc888633992ee91337bc4d9ae Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 24 Mar 2025 15:02:25 -0400 Subject: [PATCH 021/337] [2/n] Add MCP support to Runner ### Summary: This enables users to **use** MCP inside the SDK. 1. You add a list of MCP servers to `Agent`, via `mcp_server=[...]` 2. When an agent runs, we look up its MCP tools and add them to the list of tools. 3. When a tool call occurs, we call the relevant MCP server. Notes: 1. There's some refactoring to make sure we send the full list of tools to the Runner/Model etc. 2. Right now, you could have a locally defined tool that conflicts with an MCP defined tool. I didn't add errors for that, will do in a followup. ### Test Plan: See unit tests. Also has an end to end example next PR. --- src/agents/_run_impl.py | 7 +- src/agents/agent.py | 20 +++ src/agents/run.py | 24 +++- tests/mcp/__init__.py | 0 tests/mcp/conftest.py | 11 ++ tests/mcp/helpers.py | 54 ++++++++ tests/mcp/test_caching.py | 57 ++++++++ tests/mcp/test_connect_disconnect.py | 69 ++++++++++ tests/mcp/test_mcp_util.py | 109 +++++++++++++++ tests/mcp/test_runner_calls_mcp.py | 197 +++++++++++++++++++++++++++ tests/mcp/test_server_errors.py | 38 ++++++ tests/test_run_step_execution.py | 1 + tests/test_run_step_processing.py | 100 +++++++++++--- tests/voice/test_openai_stt.py | 10 +- 14 files changed, 662 insertions(+), 35 deletions(-) create mode 100644 tests/mcp/__init__.py create mode 100644 tests/mcp/conftest.py create mode 100644 tests/mcp/helpers.py create mode 100644 tests/mcp/test_caching.py create mode 100644 tests/mcp/test_connect_disconnect.py create mode 100644 tests/mcp/test_mcp_util.py create mode 100644 tests/mcp/test_runner_calls_mcp.py create mode 100644 tests/mcp/test_server_errors.py diff --git a/src/agents/_run_impl.py b/src/agents/_run_impl.py index 2849538d3..02e3bf581 100644 --- a/src/agents/_run_impl.py +++ b/src/agents/_run_impl.py @@ -50,7 +50,7 @@ from .models.interface import ModelTracing from .run_context import RunContextWrapper, TContext from .stream_events import RunItemStreamEvent, StreamEvent -from .tool import ComputerTool, FunctionTool, FunctionToolResult +from .tool import ComputerTool, FunctionTool, FunctionToolResult, Tool from .tracing import ( SpanError, Trace, @@ -301,6 +301,7 @@ def process_model_response( cls, *, agent: Agent[Any], + all_tools: list[Tool], response: ModelResponse, output_schema: AgentOutputSchema | None, handoffs: list[Handoff], @@ -312,8 +313,8 @@ def process_model_response( computer_actions = [] handoff_map = {handoff.tool_name: handoff for handoff in handoffs} - function_map = {tool.name: tool for tool in agent.tools if isinstance(tool, FunctionTool)} - computer_tool = next((tool for tool in agent.tools if isinstance(tool, ComputerTool)), None) + function_map = {tool.name: tool for tool in all_tools if isinstance(tool, FunctionTool)} + computer_tool = next((tool for tool in all_tools if isinstance(tool, ComputerTool)), None) for output in response.output: if isinstance(output, ResponseOutputMessage): diff --git a/src/agents/agent.py b/src/agents/agent.py index 2723e678a..3258e15a0 100644 --- a/src/agents/agent.py +++ b/src/agents/agent.py @@ -12,6 +12,7 @@ from .handoffs import Handoff from .items import ItemHelpers from .logger import logger +from .mcp import MCPUtil from .model_settings import ModelSettings from .models.interface import Model from .run_context import RunContextWrapper, TContext @@ -21,6 +22,7 @@ if TYPE_CHECKING: from .lifecycle import AgentHooks + from .mcp import MCPServer from .result import RunResult @@ -107,6 +109,16 @@ class Agent(Generic[TContext]): tools: list[Tool] = field(default_factory=list) """A list of tools that the agent can use.""" + mcp_servers: list[MCPServer] = field(default_factory=list) + """A list of [Model Context Protocol](https://modelcontextprotocol.io/) servers that + the agent can use. Every time the agent runs, it will include tools from these servers in the + list of available tools. + + NOTE: You are expected to manage the lifecycle of these servers. Specifically, you must call + `server.connect()` before passing it to the agent, and `server.cleanup()` when the server is no + longer needed. + """ + input_guardrails: list[InputGuardrail[TContext]] = field(default_factory=list) """A list of checks that run in parallel to the agent's execution, before generating a response. Runs only if the agent is the first agent in the chain. @@ -205,3 +217,11 @@ async def get_system_prompt(self, run_context: RunContextWrapper[TContext]) -> s logger.error(f"Instructions must be a string or a function, got {self.instructions}") return None + + async def get_mcp_tools(self) -> list[Tool]: + """Fetches the available tools from the MCP servers.""" + return await MCPUtil.get_all_function_tools(self.mcp_servers) + + async def get_all_tools(self) -> list[Tool]: + """All agent tools, including MCP tools and function tools.""" + return await MCPUtil.get_all_function_tools(self.mcp_servers) + self.tools diff --git a/src/agents/run.py b/src/agents/run.py index 934400fe1..b7ac85f9c 100644 --- a/src/agents/run.py +++ b/src/agents/run.py @@ -7,6 +7,8 @@ from openai.types.responses import ResponseCompletedEvent +from agents.tool import Tool + from ._run_impl import ( NextStepFinalOutput, NextStepHandoff, @@ -177,7 +179,8 @@ async def run( # agent changes, or if the agent loop ends. if current_span is None: handoff_names = [h.agent_name for h in cls._get_handoffs(current_agent)] - tool_names = [t.name for t in current_agent.tools] + all_tools = await cls._get_all_tools(current_agent) + tool_names = [t.name for t in all_tools] if output_schema := cls._get_output_schema(current_agent): output_type_name = output_schema.output_type_name() else: @@ -217,6 +220,7 @@ async def run( ), cls._run_single_turn( agent=current_agent, + all_tools=all_tools, original_input=original_input, generated_items=generated_items, hooks=hooks, @@ -228,6 +232,7 @@ async def run( else: turn_result = await cls._run_single_turn( agent=current_agent, + all_tools=all_tools, original_input=original_input, generated_items=generated_items, hooks=hooks, @@ -627,7 +632,7 @@ async def _run_single_turn_streamed( system_prompt = await agent.get_system_prompt(context_wrapper) handoffs = cls._get_handoffs(agent) - + all_tools = await cls._get_all_tools(agent) model = cls._get_model(agent, run_config) model_settings = agent.model_settings.resolve(run_config.model_settings) final_response: ModelResponse | None = None @@ -640,7 +645,7 @@ async def _run_single_turn_streamed( system_prompt, input, model_settings, - agent.tools, + all_tools, output_schema, handoffs, get_model_tracing_impl( @@ -677,6 +682,7 @@ async def _run_single_turn_streamed( pre_step_items=streamed_result.new_items, new_response=final_response, output_schema=output_schema, + all_tools=all_tools, handoffs=handoffs, hooks=hooks, context_wrapper=context_wrapper, @@ -691,6 +697,7 @@ async def _run_single_turn( cls, *, agent: Agent[TContext], + all_tools: list[Tool], original_input: str | list[TResponseInputItem], generated_items: list[RunItem], hooks: RunHooks[TContext], @@ -721,6 +728,7 @@ async def _run_single_turn( system_prompt, input, output_schema, + all_tools, handoffs, context_wrapper, run_config, @@ -732,6 +740,7 @@ async def _run_single_turn( pre_step_items=generated_items, new_response=new_response, output_schema=output_schema, + all_tools=all_tools, handoffs=handoffs, hooks=hooks, context_wrapper=context_wrapper, @@ -743,6 +752,7 @@ async def _get_single_step_result_from_response( cls, *, agent: Agent[TContext], + all_tools: list[Tool], original_input: str | list[TResponseInputItem], pre_step_items: list[RunItem], new_response: ModelResponse, @@ -754,6 +764,7 @@ async def _get_single_step_result_from_response( ) -> SingleStepResult: processed_response = RunImpl.process_model_response( agent=agent, + all_tools=all_tools, response=new_response, output_schema=output_schema, handoffs=handoffs, @@ -853,6 +864,7 @@ async def _get_new_response( system_prompt: str | None, input: list[TResponseInputItem], output_schema: AgentOutputSchema | None, + all_tools: list[Tool], handoffs: list[Handoff], context_wrapper: RunContextWrapper[TContext], run_config: RunConfig, @@ -863,7 +875,7 @@ async def _get_new_response( system_instructions=system_prompt, input=input, model_settings=model_settings, - tools=agent.tools, + tools=all_tools, output_schema=output_schema, handoffs=handoffs, tracing=get_model_tracing_impl( @@ -892,6 +904,10 @@ def _get_handoffs(cls, agent: Agent[Any]) -> list[Handoff]: handoffs.append(handoff(handoff_item)) return handoffs + @classmethod + async def _get_all_tools(cls, agent: Agent[Any]) -> list[Tool]: + return await agent.get_all_tools() + @classmethod def _get_model(cls, agent: Agent[Any], run_config: RunConfig) -> Model: if isinstance(run_config.model, Model): diff --git a/tests/mcp/__init__.py b/tests/mcp/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/tests/mcp/conftest.py b/tests/mcp/conftest.py new file mode 100644 index 000000000..80fd15ece --- /dev/null +++ b/tests/mcp/conftest.py @@ -0,0 +1,11 @@ +import os +import sys + + +# Skip MCP tests on Python 3.9 +def pytest_ignore_collect(collection_path, config): + if sys.version_info[:2] == (3, 9): + this_dir = os.path.dirname(__file__) + + if str(collection_path).startswith(this_dir): + return True diff --git a/tests/mcp/helpers.py b/tests/mcp/helpers.py new file mode 100644 index 000000000..952b3ea7b --- /dev/null +++ b/tests/mcp/helpers.py @@ -0,0 +1,54 @@ +import json +import shutil +from typing import Any + +from mcp import Tool as MCPTool +from mcp.types import CallToolResult, TextContent + +from agents.mcp import MCPServer + +tee = shutil.which("tee") or "" +assert tee, "tee not found" + + +# Added dummy stream classes for patching stdio_client to avoid real I/O during tests +class DummyStream: + async def send(self, msg): + pass + + async def receive(self): + raise Exception("Dummy receive not implemented") + + +class DummyStreamsContextManager: + async def __aenter__(self): + return (DummyStream(), DummyStream()) + + async def __aexit__(self, exc_type, exc_val, exc_tb): + pass + + +class FakeMCPServer(MCPServer): + def __init__(self, tools: list[MCPTool] | None = None): + self.tools: list[MCPTool] = tools or [] + self.tool_calls: list[str] = [] + self.tool_results: list[str] = [] + + def add_tool(self, name: str, input_schema: dict[str, Any]): + self.tools.append(MCPTool(name=name, inputSchema=input_schema)) + + async def connect(self): + pass + + async def cleanup(self): + pass + + async def list_tools(self): + return self.tools + + async def call_tool(self, tool_name: str, arguments: dict[str, Any] | None) -> CallToolResult: + self.tool_calls.append(tool_name) + self.tool_results.append(f"result_{tool_name}_{json.dumps(arguments)}") + return CallToolResult( + content=[TextContent(text=self.tool_results[-1], type="text")], + ) diff --git a/tests/mcp/test_caching.py b/tests/mcp/test_caching.py new file mode 100644 index 000000000..cac409e6e --- /dev/null +++ b/tests/mcp/test_caching.py @@ -0,0 +1,57 @@ +from unittest.mock import AsyncMock, patch + +import pytest +from mcp.types import ListToolsResult, Tool as MCPTool + +from agents.mcp import MCPServerStdio + +from .helpers import DummyStreamsContextManager, tee + + +@pytest.mark.asyncio +@patch("mcp.client.stdio.stdio_client", return_value=DummyStreamsContextManager()) +@patch("mcp.client.session.ClientSession.initialize", new_callable=AsyncMock, return_value=None) +@patch("mcp.client.session.ClientSession.list_tools") +async def test_server_caching_works( + mock_list_tools: AsyncMock, mock_initialize: AsyncMock, mock_stdio_client +): + """Test that if we turn caching on, the list of tools is cached and not fetched from the server + on each call to `list_tools()`. + """ + server = MCPServerStdio( + params={ + "command": tee, + }, + cache_tools_list=True, + ) + + tools = [ + MCPTool(name="tool1", inputSchema={}), + MCPTool(name="tool2", inputSchema={}), + ] + + mock_list_tools.return_value = ListToolsResult(tools=tools) + + async with server: + # Call list_tools() multiple times + tools = await server.list_tools() + assert tools == tools + + assert mock_list_tools.call_count == 1, "list_tools() should have been called once" + + # Call list_tools() again, should return the cached value + tools = await server.list_tools() + assert tools == tools + + assert mock_list_tools.call_count == 1, "list_tools() should not have been called again" + + # Invalidate the cache and call list_tools() again + server.invalidate_tools_cache() + tools = await server.list_tools() + assert tools == tools + + assert mock_list_tools.call_count == 2, "list_tools() should be called again" + + # Without invalidating the cache, calling list_tools() again should return the cached value + tools = await server.list_tools() + assert tools == tools diff --git a/tests/mcp/test_connect_disconnect.py b/tests/mcp/test_connect_disconnect.py new file mode 100644 index 000000000..b00130397 --- /dev/null +++ b/tests/mcp/test_connect_disconnect.py @@ -0,0 +1,69 @@ +from unittest.mock import AsyncMock, patch + +import pytest +from mcp.types import ListToolsResult, Tool as MCPTool + +from agents.mcp import MCPServerStdio + +from .helpers import DummyStreamsContextManager, tee + + +@pytest.mark.asyncio +@patch("mcp.client.stdio.stdio_client", return_value=DummyStreamsContextManager()) +@patch("mcp.client.session.ClientSession.initialize", new_callable=AsyncMock, return_value=None) +@patch("mcp.client.session.ClientSession.list_tools") +async def test_async_ctx_manager_works( + mock_list_tools: AsyncMock, mock_initialize: AsyncMock, mock_stdio_client +): + """Test that the async context manager works.""" + server = MCPServerStdio( + params={ + "command": tee, + }, + cache_tools_list=True, + ) + + tools = [ + MCPTool(name="tool1", inputSchema={}), + MCPTool(name="tool2", inputSchema={}), + ] + + mock_list_tools.return_value = ListToolsResult(tools=tools) + + assert server.session is None, "Server should not be connected" + + async with server: + assert server.session is not None, "Server should be connected" + + assert server.session is None, "Server should be disconnected" + + +@pytest.mark.asyncio +@patch("mcp.client.stdio.stdio_client", return_value=DummyStreamsContextManager()) +@patch("mcp.client.session.ClientSession.initialize", new_callable=AsyncMock, return_value=None) +@patch("mcp.client.session.ClientSession.list_tools") +async def test_manual_connect_disconnect_works( + mock_list_tools: AsyncMock, mock_initialize: AsyncMock, mock_stdio_client +): + """Test that the async context manager works.""" + server = MCPServerStdio( + params={ + "command": tee, + }, + cache_tools_list=True, + ) + + tools = [ + MCPTool(name="tool1", inputSchema={}), + MCPTool(name="tool2", inputSchema={}), + ] + + mock_list_tools.return_value = ListToolsResult(tools=tools) + + assert server.session is None, "Server should not be connected" + + await server.connect() + assert server.session is not None, "Server should be connected" + + await server.cleanup() + assert server.session is None, "Server should be disconnected" diff --git a/tests/mcp/test_mcp_util.py b/tests/mcp/test_mcp_util.py new file mode 100644 index 000000000..345df9962 --- /dev/null +++ b/tests/mcp/test_mcp_util.py @@ -0,0 +1,109 @@ +import logging +from typing import Any + +import pytest +from mcp.types import Tool as MCPTool +from pydantic import BaseModel + +from agents import FunctionTool, RunContextWrapper +from agents.exceptions import AgentsException, ModelBehaviorError +from agents.mcp import MCPServer, MCPUtil + +from .helpers import FakeMCPServer + + +class Foo(BaseModel): + bar: str + baz: int + + +class Bar(BaseModel): + qux: str + + +@pytest.mark.asyncio +async def test_get_all_function_tools(): + """Test that the get_all_function_tools function returns all function tools from a list of MCP + servers. + """ + names = ["test_tool_1", "test_tool_2", "test_tool_3", "test_tool_4", "test_tool_5"] + schemas = [ + {}, + {}, + {}, + Foo.model_json_schema(), + Bar.model_json_schema(), + ] + + server1 = FakeMCPServer() + server1.add_tool(names[0], schemas[0]) + server1.add_tool(names[1], schemas[1]) + + server2 = FakeMCPServer() + server2.add_tool(names[2], schemas[2]) + server2.add_tool(names[3], schemas[3]) + + server3 = FakeMCPServer() + server3.add_tool(names[4], schemas[4]) + + servers: list[MCPServer] = [server1, server2, server3] + tools = await MCPUtil.get_all_function_tools(servers) + assert len(tools) == 5 + assert all(tool.name in names for tool in tools) + + for idx, tool in enumerate(tools): + assert isinstance(tool, FunctionTool) + assert tool.params_json_schema == schemas[idx] + assert tool.name == names[idx] + + +@pytest.mark.asyncio +async def test_invoke_mcp_tool(): + """Test that the invoke_mcp_tool function invokes an MCP tool and returns the result.""" + server = FakeMCPServer() + server.add_tool("test_tool_1", {}) + + ctx = RunContextWrapper(context=None) + tool = MCPTool(name="test_tool_1", inputSchema={}) + + await MCPUtil.invoke_mcp_tool(server, tool, ctx, "") + # Just making sure it doesn't crash + + +@pytest.mark.asyncio +async def test_mcp_invoke_bad_json_errors(caplog: pytest.LogCaptureFixture): + caplog.set_level(logging.DEBUG) + + """Test that bad JSON input errors are logged and re-raised.""" + server = FakeMCPServer() + server.add_tool("test_tool_1", {}) + + ctx = RunContextWrapper(context=None) + tool = MCPTool(name="test_tool_1", inputSchema={}) + + with pytest.raises(ModelBehaviorError): + await MCPUtil.invoke_mcp_tool(server, tool, ctx, "not_json") + + assert "Invalid JSON input for tool test_tool_1" in caplog.text + + +class CrashingFakeMCPServer(FakeMCPServer): + async def call_tool(self, tool_name: str, arguments: dict[str, Any] | None): + raise Exception("Crash!") + + +@pytest.mark.asyncio +async def test_mcp_invocation_crash_causes_error(caplog: pytest.LogCaptureFixture): + caplog.set_level(logging.DEBUG) + + """Test that bad JSON input errors are logged and re-raised.""" + server = CrashingFakeMCPServer() + server.add_tool("test_tool_1", {}) + + ctx = RunContextWrapper(context=None) + tool = MCPTool(name="test_tool_1", inputSchema={}) + + with pytest.raises(AgentsException): + await MCPUtil.invoke_mcp_tool(server, tool, ctx, "") + + assert "Error invoking MCP tool test_tool_1" in caplog.text diff --git a/tests/mcp/test_runner_calls_mcp.py b/tests/mcp/test_runner_calls_mcp.py new file mode 100644 index 000000000..3319c0976 --- /dev/null +++ b/tests/mcp/test_runner_calls_mcp.py @@ -0,0 +1,197 @@ +import json + +import pytest +from pydantic import BaseModel + +from agents import Agent, ModelBehaviorError, Runner, UserError + +from ..fake_model import FakeModel +from ..test_responses import get_function_tool_call, get_text_message +from .helpers import FakeMCPServer + + +@pytest.mark.asyncio +@pytest.mark.parametrize("streaming", [False, True]) +async def test_runner_calls_mcp_tool(streaming: bool): + """Test that the runner calls an MCP tool when the model produces a tool call.""" + server = FakeMCPServer() + server.add_tool("test_tool_1", {}) + server.add_tool("test_tool_2", {}) + server.add_tool("test_tool_3", {}) + model = FakeModel() + agent = Agent( + name="test", + model=model, + mcp_servers=[server], + ) + + model.add_multiple_turn_outputs( + [ + # First turn: a message and tool call + [get_text_message("a_message"), get_function_tool_call("test_tool_2", "")], + # Second turn: text message + [get_text_message("done")], + ] + ) + + if streaming: + result = Runner.run_streamed(agent, input="user_message") + async for _ in result.stream_events(): + pass + else: + await Runner.run(agent, input="user_message") + + assert server.tool_calls == ["test_tool_2"] + + +@pytest.mark.asyncio +@pytest.mark.parametrize("streaming", [False, True]) +async def test_runner_asserts_when_mcp_tool_not_found(streaming: bool): + """Test that the runner asserts when an MCP tool is not found.""" + server = FakeMCPServer() + server.add_tool("test_tool_1", {}) + server.add_tool("test_tool_2", {}) + server.add_tool("test_tool_3", {}) + model = FakeModel() + agent = Agent( + name="test", + model=model, + mcp_servers=[server], + ) + + model.add_multiple_turn_outputs( + [ + # First turn: a message and tool call + [get_text_message("a_message"), get_function_tool_call("test_tool_doesnt_exist", "")], + # Second turn: text message + [get_text_message("done")], + ] + ) + + with pytest.raises(ModelBehaviorError): + if streaming: + result = Runner.run_streamed(agent, input="user_message") + async for _ in result.stream_events(): + pass + else: + await Runner.run(agent, input="user_message") + + +@pytest.mark.asyncio +@pytest.mark.parametrize("streaming", [False, True]) +async def test_runner_works_with_multiple_mcp_servers(streaming: bool): + """Test that the runner works with multiple MCP servers.""" + server1 = FakeMCPServer() + server1.add_tool("test_tool_1", {}) + + server2 = FakeMCPServer() + server2.add_tool("test_tool_2", {}) + server2.add_tool("test_tool_3", {}) + + model = FakeModel() + agent = Agent( + name="test", + model=model, + mcp_servers=[server1, server2], + ) + + model.add_multiple_turn_outputs( + [ + # First turn: a message and tool call + [get_text_message("a_message"), get_function_tool_call("test_tool_2", "")], + # Second turn: text message + [get_text_message("done")], + ] + ) + + if streaming: + result = Runner.run_streamed(agent, input="user_message") + async for _ in result.stream_events(): + pass + else: + await Runner.run(agent, input="user_message") + + assert server1.tool_calls == [] + assert server2.tool_calls == ["test_tool_2"] + + +@pytest.mark.asyncio +@pytest.mark.parametrize("streaming", [False, True]) +async def test_runner_errors_when_mcp_tools_clash(streaming: bool): + """Test that the runner errors when multiple servers have the same tool name.""" + server1 = FakeMCPServer() + server1.add_tool("test_tool_1", {}) + server1.add_tool("test_tool_2", {}) + + server2 = FakeMCPServer() + server2.add_tool("test_tool_2", {}) + server2.add_tool("test_tool_3", {}) + + model = FakeModel() + agent = Agent( + name="test", + model=model, + mcp_servers=[server1, server2], + ) + + model.add_multiple_turn_outputs( + [ + # First turn: a message and tool call + [get_text_message("a_message"), get_function_tool_call("test_tool_3", "")], + # Second turn: text message + [get_text_message("done")], + ] + ) + + with pytest.raises(UserError): + if streaming: + result = Runner.run_streamed(agent, input="user_message") + async for _ in result.stream_events(): + pass + else: + await Runner.run(agent, input="user_message") + + +class Foo(BaseModel): + bar: str + baz: int + + +@pytest.mark.asyncio +@pytest.mark.parametrize("streaming", [False, True]) +async def test_runner_calls_mcp_tool_with_args(streaming: bool): + """Test that the runner calls an MCP tool when the model produces a tool call.""" + server = FakeMCPServer() + await server.connect() + server.add_tool("test_tool_1", {}) + server.add_tool("test_tool_2", Foo.model_json_schema()) + server.add_tool("test_tool_3", {}) + model = FakeModel() + agent = Agent( + name="test", + model=model, + mcp_servers=[server], + ) + + json_args = json.dumps(Foo(bar="baz", baz=1).model_dump()) + + model.add_multiple_turn_outputs( + [ + # First turn: a message and tool call + [get_text_message("a_message"), get_function_tool_call("test_tool_2", json_args)], + # Second turn: text message + [get_text_message("done")], + ] + ) + + if streaming: + result = Runner.run_streamed(agent, input="user_message") + async for _ in result.stream_events(): + pass + else: + await Runner.run(agent, input="user_message") + + assert server.tool_calls == ["test_tool_2"] + assert server.tool_results == [f"result_test_tool_2_{json_args}"] + + await server.cleanup() diff --git a/tests/mcp/test_server_errors.py b/tests/mcp/test_server_errors.py new file mode 100644 index 000000000..5c6432bc5 --- /dev/null +++ b/tests/mcp/test_server_errors.py @@ -0,0 +1,38 @@ +import pytest + +from agents.exceptions import UserError +from agents.mcp.server import _MCPServerWithClientSession + + +class CrashingClientSessionServer(_MCPServerWithClientSession): + def __init__(self): + super().__init__(cache_tools_list=False) + self.cleanup_called = False + + def create_streams(self): + raise ValueError("Crash!") + + async def cleanup(self): + self.cleanup_called = True + await super().cleanup() + + +@pytest.mark.asyncio +async def test_server_errors_cause_error_and_cleanup_called(): + server = CrashingClientSessionServer() + + with pytest.raises(ValueError): + await server.connect() + + assert server.cleanup_called + + +@pytest.mark.asyncio +async def test_not_calling_connect_causes_error(): + server = CrashingClientSessionServer() + + with pytest.raises(UserError): + await server.list_tools() + + with pytest.raises(UserError): + await server.call_tool("foo", {}) diff --git a/tests/test_run_step_execution.py b/tests/test_run_step_execution.py index 2d581bf61..16c62c84a 100644 --- a/tests/test_run_step_execution.py +++ b/tests/test_run_step_execution.py @@ -290,6 +290,7 @@ async def get_execute_result( processed_response = RunImpl.process_model_response( agent=agent, + all_tools=await agent.get_all_tools(), response=response, output_schema=output_schema, handoffs=handoffs, diff --git a/tests/test_run_step_processing.py b/tests/test_run_step_processing.py index 24f9e8e30..2a6634ac8 100644 --- a/tests/test_run_step_processing.py +++ b/tests/test_run_step_processing.py @@ -43,7 +43,11 @@ def test_empty_response(): ) result = RunImpl.process_model_response( - agent=agent, response=response, output_schema=None, handoffs=[] + agent=agent, + response=response, + output_schema=None, + handoffs=[], + all_tools=[], ) assert not result.handoffs assert not result.functions @@ -57,13 +61,14 @@ def test_no_tool_calls(): referenceable_id=None, ) result = RunImpl.process_model_response( - agent=agent, response=response, output_schema=None, handoffs=[] + agent=agent, response=response, output_schema=None, handoffs=[], all_tools=[] ) assert not result.handoffs assert not result.functions -def test_single_tool_call(): +@pytest.mark.asyncio +async def test_single_tool_call(): agent = Agent(name="test", tools=[get_function_tool(name="test")]) response = ModelResponse( output=[ @@ -74,7 +79,11 @@ def test_single_tool_call(): referenceable_id=None, ) result = RunImpl.process_model_response( - agent=agent, response=response, output_schema=None, handoffs=[] + agent=agent, + response=response, + output_schema=None, + handoffs=[], + all_tools=await agent.get_all_tools(), ) assert not result.handoffs assert result.functions and len(result.functions) == 1 @@ -84,7 +93,8 @@ def test_single_tool_call(): assert func.tool_call.arguments == "" -def test_missing_tool_call_raises_error(): +@pytest.mark.asyncio +async def test_missing_tool_call_raises_error(): agent = Agent(name="test", tools=[get_function_tool(name="test")]) response = ModelResponse( output=[ @@ -97,11 +107,16 @@ def test_missing_tool_call_raises_error(): with pytest.raises(ModelBehaviorError): RunImpl.process_model_response( - agent=agent, response=response, output_schema=None, handoffs=[] + agent=agent, + response=response, + output_schema=None, + handoffs=[], + all_tools=await agent.get_all_tools(), ) -def test_multiple_tool_calls(): +@pytest.mark.asyncio +async def test_multiple_tool_calls(): agent = Agent( name="test", tools=[ @@ -121,7 +136,11 @@ def test_multiple_tool_calls(): ) result = RunImpl.process_model_response( - agent=agent, response=response, output_schema=None, handoffs=[] + agent=agent, + response=response, + output_schema=None, + handoffs=[], + all_tools=await agent.get_all_tools(), ) assert not result.handoffs assert result.functions and len(result.functions) == 2 @@ -146,7 +165,11 @@ async def test_handoffs_parsed_correctly(): referenceable_id=None, ) result = RunImpl.process_model_response( - agent=agent_3, response=response, output_schema=None, handoffs=[] + agent=agent_3, + response=response, + output_schema=None, + handoffs=[], + all_tools=await agent_3.get_all_tools(), ) assert not result.handoffs, "Shouldn't have a handoff here" @@ -160,6 +183,7 @@ async def test_handoffs_parsed_correctly(): response=response, output_schema=None, handoffs=Runner._get_handoffs(agent_3), + all_tools=await agent_3.get_all_tools(), ) assert len(result.handoffs) == 1, "Should have a handoff here" handoff = result.handoffs[0] @@ -189,10 +213,12 @@ async def test_missing_handoff_fails(): response=response, output_schema=None, handoffs=Runner._get_handoffs(agent_3), + all_tools=await agent_3.get_all_tools(), ) -def test_multiple_handoffs_doesnt_error(): +@pytest.mark.asyncio +async def test_multiple_handoffs_doesnt_error(): agent_1 = Agent(name="test_1") agent_2 = Agent(name="test_2") agent_3 = Agent(name="test_3", handoffs=[agent_1, agent_2]) @@ -210,6 +236,7 @@ def test_multiple_handoffs_doesnt_error(): response=response, output_schema=None, handoffs=Runner._get_handoffs(agent_3), + all_tools=await agent_3.get_all_tools(), ) assert len(result.handoffs) == 2, "Should have multiple handoffs here" @@ -218,7 +245,8 @@ class Foo(BaseModel): bar: str -def test_final_output_parsed_correctly(): +@pytest.mark.asyncio +async def test_final_output_parsed_correctly(): agent = Agent(name="test", output_type=Foo) response = ModelResponse( output=[ @@ -234,10 +262,12 @@ def test_final_output_parsed_correctly(): response=response, output_schema=Runner._get_output_schema(agent), handoffs=[], + all_tools=await agent.get_all_tools(), ) -def test_file_search_tool_call_parsed_correctly(): +@pytest.mark.asyncio +async def test_file_search_tool_call_parsed_correctly(): # Ensure that a ResponseFileSearchToolCall output is parsed into a ToolCallItem and that no tool # runs are scheduled. @@ -254,7 +284,11 @@ def test_file_search_tool_call_parsed_correctly(): referenceable_id=None, ) result = RunImpl.process_model_response( - agent=agent, response=response, output_schema=None, handoffs=[] + agent=agent, + response=response, + output_schema=None, + handoffs=[], + all_tools=await agent.get_all_tools(), ) # The final item should be a ToolCallItem for the file search call assert any( @@ -265,7 +299,8 @@ def test_file_search_tool_call_parsed_correctly(): assert not result.handoffs -def test_function_web_search_tool_call_parsed_correctly(): +@pytest.mark.asyncio +async def test_function_web_search_tool_call_parsed_correctly(): agent = Agent(name="test") web_search_call = ResponseFunctionWebSearch(id="w1", status="completed", type="web_search_call") response = ModelResponse( @@ -274,7 +309,11 @@ def test_function_web_search_tool_call_parsed_correctly(): referenceable_id=None, ) result = RunImpl.process_model_response( - agent=agent, response=response, output_schema=None, handoffs=[] + agent=agent, + response=response, + output_schema=None, + handoffs=[], + all_tools=await agent.get_all_tools(), ) assert any( isinstance(item, ToolCallItem) and item.raw_item is web_search_call @@ -284,7 +323,8 @@ def test_function_web_search_tool_call_parsed_correctly(): assert not result.handoffs -def test_reasoning_item_parsed_correctly(): +@pytest.mark.asyncio +async def test_reasoning_item_parsed_correctly(): # Verify that a Reasoning output item is converted into a ReasoningItem. reasoning = ResponseReasoningItem( @@ -296,7 +336,11 @@ def test_reasoning_item_parsed_correctly(): referenceable_id=None, ) result = RunImpl.process_model_response( - agent=Agent(name="test"), response=response, output_schema=None, handoffs=[] + agent=Agent(name="test"), + response=response, + output_schema=None, + handoffs=[], + all_tools=await Agent(name="test").get_all_tools(), ) assert any( isinstance(item, ReasoningItem) and item.raw_item is reasoning for item in result.new_items @@ -342,7 +386,8 @@ def drag(self, path: list[tuple[int, int]]) -> None: return None # pragma: no cover -def test_computer_tool_call_without_computer_tool_raises_error(): +@pytest.mark.asyncio +async def test_computer_tool_call_without_computer_tool_raises_error(): # If the agent has no ComputerTool in its tools, process_model_response should raise a # ModelBehaviorError when encountering a ResponseComputerToolCall. computer_call = ResponseComputerToolCall( @@ -360,11 +405,16 @@ def test_computer_tool_call_without_computer_tool_raises_error(): ) with pytest.raises(ModelBehaviorError): RunImpl.process_model_response( - agent=Agent(name="test"), response=response, output_schema=None, handoffs=[] + agent=Agent(name="test"), + response=response, + output_schema=None, + handoffs=[], + all_tools=await Agent(name="test").get_all_tools(), ) -def test_computer_tool_call_with_computer_tool_parsed_correctly(): +@pytest.mark.asyncio +async def test_computer_tool_call_with_computer_tool_parsed_correctly(): # If the agent contains a ComputerTool, ensure that a ResponseComputerToolCall is parsed into a # ToolCallItem and scheduled to run in computer_actions. dummy_computer = DummyComputer() @@ -383,7 +433,11 @@ def test_computer_tool_call_with_computer_tool_parsed_correctly(): referenceable_id=None, ) result = RunImpl.process_model_response( - agent=agent, response=response, output_schema=None, handoffs=[] + agent=agent, + response=response, + output_schema=None, + handoffs=[], + all_tools=await agent.get_all_tools(), ) assert any( isinstance(item, ToolCallItem) and item.raw_item is computer_call @@ -392,7 +446,8 @@ def test_computer_tool_call_with_computer_tool_parsed_correctly(): assert result.computer_actions and result.computer_actions[0].tool_call == computer_call -def test_tool_and_handoff_parsed_correctly(): +@pytest.mark.asyncio +async def test_tool_and_handoff_parsed_correctly(): agent_1 = Agent(name="test_1") agent_2 = Agent(name="test_2") agent_3 = Agent( @@ -413,6 +468,7 @@ def test_tool_and_handoff_parsed_correctly(): response=response, output_schema=None, handoffs=Runner._get_handoffs(agent_3), + all_tools=await agent_3.get_all_tools(), ) assert result.functions and len(result.functions) == 1 assert len(result.handoffs) == 1, "Should have a handoff here" diff --git a/tests/voice/test_openai_stt.py b/tests/voice/test_openai_stt.py index 755592326..89b5cca70 100644 --- a/tests/voice/test_openai_stt.py +++ b/tests/voice/test_openai_stt.py @@ -269,7 +269,7 @@ def fake_time_func(): async for _ in turns: pass - assert "Timeout waiting for transcription_session.created event" in str(exc_info.value) + assert "Timeout waiting for transcription_session.created event" in str(exc_info.value) await session.close() @@ -302,13 +302,11 @@ async def test_session_error_event(): trace_include_sensitive_audio_data=False, ) - with pytest.raises(STTWebsocketConnectionError) as exc_info: + with pytest.raises(STTWebsocketConnectionError): turns = session.transcribe_turns() async for _ in turns: pass - assert "Simulated server error!" in str(exc_info.value) - await session.close() @@ -362,8 +360,8 @@ async def test_inactivity_timeout(): async for turn in session.transcribe_turns(): collected_turns.append(turn) - assert "Timeout waiting for transcription_session" in str(exc_info.value) + assert "Timeout waiting for transcription_session" in str(exc_info.value) - assert len(collected_turns) == 0, "No transcripts expected, but we got something?" + assert len(collected_turns) == 0, "No transcripts expected, but we got something?" await session.close() From 4dbaf7477bb197a8e97ae1694d2e07488fec362a Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 24 Mar 2025 15:05:40 -0400 Subject: [PATCH 022/337] [3/n] Add an MCP stdio example ### Summary: Spins up a stdio server with some local files, then asks the model questions. ### Test Plan: Run the example, see it work. --- examples/mcp/filesystem_example/README.md | 26 +++++++++ examples/mcp/filesystem_example/main.py | 54 +++++++++++++++++++ .../sample_files/favorite_books.txt | 20 +++++++ .../sample_files/favorite_cities.txt | 4 ++ .../sample_files/favorite_songs.txt | 10 ++++ 5 files changed, 114 insertions(+) create mode 100644 examples/mcp/filesystem_example/README.md create mode 100644 examples/mcp/filesystem_example/main.py create mode 100644 examples/mcp/filesystem_example/sample_files/favorite_books.txt create mode 100644 examples/mcp/filesystem_example/sample_files/favorite_cities.txt create mode 100644 examples/mcp/filesystem_example/sample_files/favorite_songs.txt diff --git a/examples/mcp/filesystem_example/README.md b/examples/mcp/filesystem_example/README.md new file mode 100644 index 000000000..c90955b97 --- /dev/null +++ b/examples/mcp/filesystem_example/README.md @@ -0,0 +1,26 @@ +# MCP Filesystem Example + +This example uses the [fileystem MCP server](https://github.com/modelcontextprotocol/servers/tree/main/src/filesystem), running locally via `npx`. + +Run it via: + +``` +uv run python python examples/mcp/filesystem_example/main.py +``` + +## Details + +The example uses the `MCPServerStdio` class from `agents`, with the command: + +```bash +npx -y @modelcontextprotocol/server-filesystem" +``` + +It's only given access to the `sample_files` directory adjacent to the example, which contains some sample data. + +Under the hood: + +1. The server is spun up in a subprocess, and exposes a bunch of tools like `list_directory()`, `read_file()`, etc. +2. We add the server instance to the Agent via `mcp_agents`. +3. Each time the agent runs, we call out to the MCP server to fetch the list of tools via `server.list_tools()`. +4. If the LLM chooses to use an MCP tool, we call the MCP server to run the tool via `server.run_tool()`. diff --git a/examples/mcp/filesystem_example/main.py b/examples/mcp/filesystem_example/main.py new file mode 100644 index 000000000..0ba2b6754 --- /dev/null +++ b/examples/mcp/filesystem_example/main.py @@ -0,0 +1,54 @@ +import asyncio +import os +import shutil + +from agents import Agent, Runner, trace +from agents.mcp import MCPServer, MCPServerStdio + + +async def run(mcp_server: MCPServer): + agent = Agent( + name="Assistant", + instructions="Use the tools to read the filesystem and answer questions based on those files.", + mcp_servers=[mcp_server], + ) + + # List the files it can read + message = "Read the files and list them." + print(f"Running: {message}") + result = await Runner.run(starting_agent=agent, input=message) + print(result.final_output) + + # Ask about books + message = "What is my #1 favorite book?" + print(f"\n\nRunning: {message}") + result = await Runner.run(starting_agent=agent, input=message) + print(result.final_output) + + # Ask a question that reads then reasons. + message = "Look at my favorite songs. Suggest one new song that I might like." + print(f"\n\nRunning: {message}") + result = await Runner.run(starting_agent=agent, input=message) + print(result.final_output) + + +async def main(): + current_dir = os.path.dirname(os.path.abspath(__file__)) + samples_dir = os.path.join(current_dir, "sample_files") + + async with MCPServerStdio( + params={ + "command": "npx", + "args": ["-y", "@modelcontextprotocol/server-filesystem", samples_dir], + } + ) as server: + with trace(workflow_name="MCP Filesystem Example"): + await run(server) + + +if __name__ == "__main__": + # Let's make sure the user has npx installed + if not shutil.which("npx"): + raise RuntimeError("npx is not installed. Please install it with `npm install -g npx`.") + + asyncio.run(main()) diff --git a/examples/mcp/filesystem_example/sample_files/favorite_books.txt b/examples/mcp/filesystem_example/sample_files/favorite_books.txt new file mode 100644 index 000000000..c55f457ec --- /dev/null +++ b/examples/mcp/filesystem_example/sample_files/favorite_books.txt @@ -0,0 +1,20 @@ +1. To Kill a Mockingbird – Harper Lee +2. Pride and Prejudice – Jane Austen +3. 1984 – George Orwell +4. The Hobbit – J.R.R. Tolkien +5. Harry Potter and the Sorcerer’s Stone – J.K. Rowling +6. The Great Gatsby – F. Scott Fitzgerald +7. Charlotte’s Web – E.B. White +8. Anne of Green Gables – Lucy Maud Montgomery +9. The Alchemist – Paulo Coelho +10. Little Women – Louisa May Alcott +11. The Catcher in the Rye – J.D. Salinger +12. Animal Farm – George Orwell +13. The Chronicles of Narnia: The Lion, the Witch, and the Wardrobe – C.S. Lewis +14. The Book Thief – Markus Zusak +15. A Wrinkle in Time – Madeleine L’Engle +16. The Secret Garden – Frances Hodgson Burnett +17. Moby-Dick – Herman Melville +18. Fahrenheit 451 – Ray Bradbury +19. Jane Eyre – Charlotte Brontë +20. The Little Prince – Antoine de Saint-Exupéry \ No newline at end of file diff --git a/examples/mcp/filesystem_example/sample_files/favorite_cities.txt b/examples/mcp/filesystem_example/sample_files/favorite_cities.txt new file mode 100644 index 000000000..1d3354f22 --- /dev/null +++ b/examples/mcp/filesystem_example/sample_files/favorite_cities.txt @@ -0,0 +1,4 @@ +- In the summer, I love visiting London. +- In the winter, Tokyo is great. +- In the spring, San Francisco. +- In the fall, New York is the best. \ No newline at end of file diff --git a/examples/mcp/filesystem_example/sample_files/favorite_songs.txt b/examples/mcp/filesystem_example/sample_files/favorite_songs.txt new file mode 100644 index 000000000..d659bb589 --- /dev/null +++ b/examples/mcp/filesystem_example/sample_files/favorite_songs.txt @@ -0,0 +1,10 @@ +1. "Here Comes the Sun" – The Beatles +2. "Imagine" – John Lennon +3. "Bohemian Rhapsody" – Queen +4. "Shake It Off" – Taylor Swift +5. "Billie Jean" – Michael Jackson +6. "Uptown Funk" – Mark Ronson ft. Bruno Mars +7. "Don’t Stop Believin’" – Journey +8. "Dancing Queen" – ABBA +9. "Happy" – Pharrell Williams +10. "Wonderwall" – Oasis From 84abe678e2a0a051b62699cf92cb8cb5bdd22ec1 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 24 Mar 2025 15:08:02 -0400 Subject: [PATCH 023/337] [3/n] Add an MCP stdio example ### Summary: Spins up a stdio server with some local files, then asks the model questions. ### Test Plan: Run the example, see it work. --- examples/mcp/filesystem_example/README.md | 26 +++++++++ examples/mcp/filesystem_example/main.py | 54 +++++++++++++++++++ .../sample_files/favorite_books.txt | 20 +++++++ .../sample_files/favorite_cities.txt | 4 ++ .../sample_files/favorite_songs.txt | 10 ++++ 5 files changed, 114 insertions(+) create mode 100644 examples/mcp/filesystem_example/README.md create mode 100644 examples/mcp/filesystem_example/main.py create mode 100644 examples/mcp/filesystem_example/sample_files/favorite_books.txt create mode 100644 examples/mcp/filesystem_example/sample_files/favorite_cities.txt create mode 100644 examples/mcp/filesystem_example/sample_files/favorite_songs.txt diff --git a/examples/mcp/filesystem_example/README.md b/examples/mcp/filesystem_example/README.md new file mode 100644 index 000000000..c90955b97 --- /dev/null +++ b/examples/mcp/filesystem_example/README.md @@ -0,0 +1,26 @@ +# MCP Filesystem Example + +This example uses the [fileystem MCP server](https://github.com/modelcontextprotocol/servers/tree/main/src/filesystem), running locally via `npx`. + +Run it via: + +``` +uv run python python examples/mcp/filesystem_example/main.py +``` + +## Details + +The example uses the `MCPServerStdio` class from `agents`, with the command: + +```bash +npx -y @modelcontextprotocol/server-filesystem" +``` + +It's only given access to the `sample_files` directory adjacent to the example, which contains some sample data. + +Under the hood: + +1. The server is spun up in a subprocess, and exposes a bunch of tools like `list_directory()`, `read_file()`, etc. +2. We add the server instance to the Agent via `mcp_agents`. +3. Each time the agent runs, we call out to the MCP server to fetch the list of tools via `server.list_tools()`. +4. If the LLM chooses to use an MCP tool, we call the MCP server to run the tool via `server.run_tool()`. diff --git a/examples/mcp/filesystem_example/main.py b/examples/mcp/filesystem_example/main.py new file mode 100644 index 000000000..0ba2b6754 --- /dev/null +++ b/examples/mcp/filesystem_example/main.py @@ -0,0 +1,54 @@ +import asyncio +import os +import shutil + +from agents import Agent, Runner, trace +from agents.mcp import MCPServer, MCPServerStdio + + +async def run(mcp_server: MCPServer): + agent = Agent( + name="Assistant", + instructions="Use the tools to read the filesystem and answer questions based on those files.", + mcp_servers=[mcp_server], + ) + + # List the files it can read + message = "Read the files and list them." + print(f"Running: {message}") + result = await Runner.run(starting_agent=agent, input=message) + print(result.final_output) + + # Ask about books + message = "What is my #1 favorite book?" + print(f"\n\nRunning: {message}") + result = await Runner.run(starting_agent=agent, input=message) + print(result.final_output) + + # Ask a question that reads then reasons. + message = "Look at my favorite songs. Suggest one new song that I might like." + print(f"\n\nRunning: {message}") + result = await Runner.run(starting_agent=agent, input=message) + print(result.final_output) + + +async def main(): + current_dir = os.path.dirname(os.path.abspath(__file__)) + samples_dir = os.path.join(current_dir, "sample_files") + + async with MCPServerStdio( + params={ + "command": "npx", + "args": ["-y", "@modelcontextprotocol/server-filesystem", samples_dir], + } + ) as server: + with trace(workflow_name="MCP Filesystem Example"): + await run(server) + + +if __name__ == "__main__": + # Let's make sure the user has npx installed + if not shutil.which("npx"): + raise RuntimeError("npx is not installed. Please install it with `npm install -g npx`.") + + asyncio.run(main()) diff --git a/examples/mcp/filesystem_example/sample_files/favorite_books.txt b/examples/mcp/filesystem_example/sample_files/favorite_books.txt new file mode 100644 index 000000000..c55f457ec --- /dev/null +++ b/examples/mcp/filesystem_example/sample_files/favorite_books.txt @@ -0,0 +1,20 @@ +1. To Kill a Mockingbird – Harper Lee +2. Pride and Prejudice – Jane Austen +3. 1984 – George Orwell +4. The Hobbit – J.R.R. Tolkien +5. Harry Potter and the Sorcerer’s Stone – J.K. Rowling +6. The Great Gatsby – F. Scott Fitzgerald +7. Charlotte’s Web – E.B. White +8. Anne of Green Gables – Lucy Maud Montgomery +9. The Alchemist – Paulo Coelho +10. Little Women – Louisa May Alcott +11. The Catcher in the Rye – J.D. Salinger +12. Animal Farm – George Orwell +13. The Chronicles of Narnia: The Lion, the Witch, and the Wardrobe – C.S. Lewis +14. The Book Thief – Markus Zusak +15. A Wrinkle in Time – Madeleine L’Engle +16. The Secret Garden – Frances Hodgson Burnett +17. Moby-Dick – Herman Melville +18. Fahrenheit 451 – Ray Bradbury +19. Jane Eyre – Charlotte Brontë +20. The Little Prince – Antoine de Saint-Exupéry \ No newline at end of file diff --git a/examples/mcp/filesystem_example/sample_files/favorite_cities.txt b/examples/mcp/filesystem_example/sample_files/favorite_cities.txt new file mode 100644 index 000000000..1d3354f22 --- /dev/null +++ b/examples/mcp/filesystem_example/sample_files/favorite_cities.txt @@ -0,0 +1,4 @@ +- In the summer, I love visiting London. +- In the winter, Tokyo is great. +- In the spring, San Francisco. +- In the fall, New York is the best. \ No newline at end of file diff --git a/examples/mcp/filesystem_example/sample_files/favorite_songs.txt b/examples/mcp/filesystem_example/sample_files/favorite_songs.txt new file mode 100644 index 000000000..d659bb589 --- /dev/null +++ b/examples/mcp/filesystem_example/sample_files/favorite_songs.txt @@ -0,0 +1,10 @@ +1. "Here Comes the Sun" – The Beatles +2. "Imagine" – John Lennon +3. "Bohemian Rhapsody" – Queen +4. "Shake It Off" – Taylor Swift +5. "Billie Jean" – Michael Jackson +6. "Uptown Funk" – Mark Ronson ft. Bruno Mars +7. "Don’t Stop Believin’" – Journey +8. "Dancing Queen" – ABBA +9. "Happy" – Pharrell Williams +10. "Wonderwall" – Oasis From c1bb50e81fc14b732eba964410eb5fce1b5fb2dc Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 24 Mar 2025 18:05:29 -0400 Subject: [PATCH 024/337] [4/n] Add docs for MCP Just adding docs. - --- mkdocs.yml | 5 +++++ src/agents/mcp/server.py | 16 +++++++--------- 2 files changed, 12 insertions(+), 9 deletions(-) diff --git a/mkdocs.yml b/mkdocs.yml index 941f29ed9..454d881a0 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -28,6 +28,7 @@ nav: - results.md - streaming.md - tools.md + - mcp.md - handoffs.md - tracing.md - context.md @@ -60,6 +61,8 @@ nav: - ref/models/interface.md - ref/models/openai_chatcompletions.md - ref/models/openai_responses.md + - ref/mcp/server.md + - ref/mcp/util.md - Tracing: - ref/tracing/index.md - ref/tracing/create.md @@ -107,6 +110,8 @@ plugins: show_signature_annotations: true # Makes the font sizes nicer heading_level: 3 + # Show inherited members + inherited_members: true extra: # Remove material generation message in footer diff --git a/src/agents/mcp/server.py b/src/agents/mcp/server.py index e19e686af..91af31dbb 100644 --- a/src/agents/mcp/server.py +++ b/src/agents/mcp/server.py @@ -175,10 +175,10 @@ def __init__(self, params: MCPServerStdioParams, cache_tools_list: bool = False) """Create a new MCP server based on the stdio transport. Args: - params: The params that configure the server. This includes: - - The command (e.g. `python` or `node`) that starts the server. - - The args to pass to the server command (e.g. `foo.py` or `server.js`). - - The environment variables to set for the server. + params: The params that configure the server. This includes the command to run to + start the server, the args to pass to the command, the environment variables to + set for the server, the working directory to use when spawning the process, and + the text encoding used when sending/receiving messages to the server. cache_tools_list: Whether to cache the tools list. If `True`, the tools list will be cached and only fetched from the server once. If `False`, the tools list will be fetched from the server on each call to `list_tools()`. The cache can be @@ -235,11 +235,9 @@ def __init__(self, params: MCPServerSseParams, cache_tools_list: bool = False): """Create a new MCP server based on the HTTP with SSE transport. Args: - params: The params that configure the server. This includes: - - The URL of the server. - - The headers to send to the server. - - The timeout for the HTTP request. - - The timeout for the SSE connection. + params: The params that configure the server. This includes the URL of the server, + the headers to send to the server, the timeout for the HTTP request, and the + timeout for the SSE connection. cache_tools_list: Whether to cache the tools list. If `True`, the tools list will be cached and only fetched from the server once. If `False`, the tools list will be From 17365a48cb00f3955e8044b9957690f1ffb278d1 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 24 Mar 2025 18:05:29 -0400 Subject: [PATCH 025/337] [4/n] Add docs for MCP Just adding docs. - --- docs/mcp.md | 51 +++++++++++++++++++++ docs/ref/mcp/server.md | 3 ++ docs/ref/mcp/util.md | 3 ++ mkdocs.yml | 5 ++ src/agents/mcp/mcp_util.py | 94 -------------------------------------- src/agents/mcp/server.py | 16 +++---- 6 files changed, 69 insertions(+), 103 deletions(-) create mode 100644 docs/mcp.md create mode 100644 docs/ref/mcp/server.md create mode 100644 docs/ref/mcp/util.md delete mode 100644 src/agents/mcp/mcp_util.py diff --git a/docs/mcp.md b/docs/mcp.md new file mode 100644 index 000000000..d2fa64107 --- /dev/null +++ b/docs/mcp.md @@ -0,0 +1,51 @@ +# Model context protocol + +The [Model context protocol](https://modelcontextprotocol.io/introduction) (aka MCP) is a way to provide tools and context to the LLM. From the MCP docs: + +> MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, MCP provides a standardized way to connect AI models to different data sources and tools. + +The Agents SDK has support for MCP. + +## MCP servers + +Currently, the MCP spec defines two kinds of servers, based on the transport mechanism they use: + +1. **stdio** servers run as a subprocess of your application. You can think of them as running "locally". +2. **HTTP over SSE** servers run remotely. You connect to them via a URL. + +You can use the [`MCPServerStdio`][agents.mcp.server.MCPServerStdio] and [`MCPServerSse`][agents.mcp.server.MCPServerSse] classes to connect to these servers. + +For example, this is how you'd use the [official MCP filesystem server](https://www.npmjs.com/package/@modelcontextprotocol/server-filesystem). + +```python +async with MCPServerStdio( + params={ + "command": "npx", + "args": ["-y", "@modelcontextprotocol/server-filesystem", samples_dir], + } +) as server: + tools = await server.list_tools() +``` + +## Using MCP servers + +MCP servers can be added to Agents. The Agents SDK will automatically call `list_tools()` on the MCP servers each time the Agent is run. This makes the LLM aware of the MCP server's tools. When the LLM calls a tool from an MCP server, the SDK automatically calls `call_tool()` on that server. + +```python + +agent=Agent( + name="Assistant", + instructions="Use the tools to achieve the task", + mcp_servers=[mcp_server_1, mcp_server_2] +) +``` + +## Caching + +Every time an Agent runs, it calls `list_tools()` on the MCP server. This can be a latency hit, especially if the server is a remote server. To automatically cache the list of tools, you can pass `cache_tools_list=True` to both [`MCPServerStdio`][agents.mcp.server.MCPServerStdio] and [`MCPServerSse`][agents.mcp.server.MCPServerSse]. You should only do this if you're certain the tool list will not change. + +If you want to invalidate the cache, you can call `invalidate_tools_cache()` on the servers. + +## End-to-end example + +View complete working examples at [examples/mcp](https://github.com/openai/openai-agents-python/tree/main/examples/mcp). diff --git a/docs/ref/mcp/server.md b/docs/ref/mcp/server.md new file mode 100644 index 000000000..e58efab2e --- /dev/null +++ b/docs/ref/mcp/server.md @@ -0,0 +1,3 @@ +# `MCP Servers` + +::: agents.mcp.server diff --git a/docs/ref/mcp/util.md b/docs/ref/mcp/util.md new file mode 100644 index 000000000..b3f7db25c --- /dev/null +++ b/docs/ref/mcp/util.md @@ -0,0 +1,3 @@ +# `MCP Util` + +::: agents.mcp.util diff --git a/mkdocs.yml b/mkdocs.yml index 941f29ed9..454d881a0 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -28,6 +28,7 @@ nav: - results.md - streaming.md - tools.md + - mcp.md - handoffs.md - tracing.md - context.md @@ -60,6 +61,8 @@ nav: - ref/models/interface.md - ref/models/openai_chatcompletions.md - ref/models/openai_responses.md + - ref/mcp/server.md + - ref/mcp/util.md - Tracing: - ref/tracing/index.md - ref/tracing/create.md @@ -107,6 +110,8 @@ plugins: show_signature_annotations: true # Makes the font sizes nicer heading_level: 3 + # Show inherited members + inherited_members: true extra: # Remove material generation message in footer diff --git a/src/agents/mcp/mcp_util.py b/src/agents/mcp/mcp_util.py deleted file mode 100644 index 41b4c521f..000000000 --- a/src/agents/mcp/mcp_util.py +++ /dev/null @@ -1,94 +0,0 @@ -import functools -import json -from typing import Any - -from mcp.types import Tool as MCPTool - -from .. import _debug -from ..exceptions import AgentsException, ModelBehaviorError, UserError -from ..logger import logger -from ..run_context import RunContextWrapper -from ..tool import FunctionTool, Tool -from .server import MCPServer - - -class MCPUtil: - """Set of utilities for interop between MCP and Agents SDK tools.""" - - @classmethod - async def get_all_function_tools(cls, servers: list[MCPServer]) -> list[Tool]: - """Get all function tools from a list of MCP servers.""" - tools = [] - tool_names: set[str] = set() - for server in servers: - server_tools = await cls.get_function_tools(server) - server_tool_names = {tool.name for tool in server_tools} - if len(server_tool_names & tool_names) > 0: - raise UserError( - f"Duplicate tool names found across MCP servers: " - f"{server_tool_names & tool_names}" - ) - tool_names.update(server_tool_names) - tools.extend(server_tools) - - return tools - - @classmethod - async def get_function_tools(cls, server: MCPServer) -> list[Tool]: - """Get all function tools from a single MCP server.""" - tools = await server.list_tools() - return [cls.to_function_tool(tool, server) for tool in tools] - - @classmethod - def to_function_tool(cls, tool: MCPTool, server: MCPServer) -> FunctionTool: - """Convert an MCP tool to an Agents SDK function tool.""" - invoke_func = functools.partial(cls.invoke_mcp_tool, server, tool) - return FunctionTool( - name=tool.name, - description=tool.description or "", - params_json_schema=tool.inputSchema, - on_invoke_tool=invoke_func, - strict_json_schema=False, - ) - - @classmethod - async def invoke_mcp_tool( - cls, server: MCPServer, tool: MCPTool, context: RunContextWrapper[Any], input_json: str - ) -> str: - """Invoke an MCP tool and return the result as a string.""" - try: - json_data: dict[str, Any] = json.loads(input_json) if input_json else {} - except Exception as e: - if _debug.DONT_LOG_TOOL_DATA: - logger.debug(f"Invalid JSON input for tool {tool.name}") - else: - logger.debug(f"Invalid JSON input for tool {tool.name}: {input_json}") - raise ModelBehaviorError( - f"Invalid JSON input for tool {tool.name}: {input_json}" - ) from e - - if _debug.DONT_LOG_TOOL_DATA: - logger.debug(f"Invoking MCP tool {tool.name}") - else: - logger.debug(f"Invoking MCP tool {tool.name} with input {input_json}") - - try: - result = await server.call_tool(tool.name, json_data) - except Exception as e: - logger.error(f"Error invoking MCP tool {tool.name}: {e}") - raise AgentsException(f"Error invoking MCP tool {tool.name}: {e}") from e - - if _debug.DONT_LOG_TOOL_DATA: - logger.debug(f"MCP tool {tool.name} completed.") - else: - logger.debug(f"MCP tool {tool.name} returned {result}") - - # The MCP tool result is a list of content items, whereas OpenAI tool outputs are a single - # string. We'll try to convert. - if len(result.content) == 1: - return result.content[0].model_dump_json() - elif len(result.content) > 1: - return json.dumps([item.model_dump() for item in result.content]) - else: - logger.error(f"Errored MCP tool result: {result}") - return "Error running tool." diff --git a/src/agents/mcp/server.py b/src/agents/mcp/server.py index e19e686af..91af31dbb 100644 --- a/src/agents/mcp/server.py +++ b/src/agents/mcp/server.py @@ -175,10 +175,10 @@ def __init__(self, params: MCPServerStdioParams, cache_tools_list: bool = False) """Create a new MCP server based on the stdio transport. Args: - params: The params that configure the server. This includes: - - The command (e.g. `python` or `node`) that starts the server. - - The args to pass to the server command (e.g. `foo.py` or `server.js`). - - The environment variables to set for the server. + params: The params that configure the server. This includes the command to run to + start the server, the args to pass to the command, the environment variables to + set for the server, the working directory to use when spawning the process, and + the text encoding used when sending/receiving messages to the server. cache_tools_list: Whether to cache the tools list. If `True`, the tools list will be cached and only fetched from the server once. If `False`, the tools list will be fetched from the server on each call to `list_tools()`. The cache can be @@ -235,11 +235,9 @@ def __init__(self, params: MCPServerSseParams, cache_tools_list: bool = False): """Create a new MCP server based on the HTTP with SSE transport. Args: - params: The params that configure the server. This includes: - - The URL of the server. - - The headers to send to the server. - - The timeout for the HTTP request. - - The timeout for the SSE connection. + params: The params that configure the server. This includes the URL of the server, + the headers to send to the server, the timeout for the HTTP request, and the + timeout for the SSE connection. cache_tools_list: Whether to cache the tools list. If `True`, the tools list will be cached and only fetched from the server once. If `False`, the tools list will be From 0e57bd9cae35a25989e40839a1afa34ae2c4849e Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 25 Mar 2025 12:32:47 -0400 Subject: [PATCH 026/337] Make the reset behavior on tool use configurable ## Summary: #263 added this behavior. The goal was to prevent infinite loops when tool choice was set. The key change I'm making is: 1. Making it configurable on the agent. 2. Doing bookkeeping in the Runner to track this, to prevent mutating agents. 3. Not resetting the global tool choice in RunConfig. ## Test Plan: Unit tests. . --- docs/agents.md | 9 +- src/agents/_run_impl.py | 74 ++++++------- src/agents/agent.py | 4 + src/agents/models/openai_responses.py | 6 +- src/agents/run.py | 21 ++++ tests/fake_model.py | 10 ++ tests/test_tool_choice_reset.py | 147 +++++++++++++++++--------- 7 files changed, 173 insertions(+), 98 deletions(-) diff --git a/docs/agents.md b/docs/agents.md index 1e04f7e95..23b18b649 100644 --- a/docs/agents.md +++ b/docs/agents.md @@ -142,11 +142,6 @@ Supplying a list of tools doesn't always mean the LLM will use a tool. You can f !!! note - To prevent infinite loops, the framework automatically resets `tool_choice` to "auto" after a tool call in the following scenarios: - - 1. When `tool_choice` is set to a specific function name (any string that's not "auto", "required", or "none") - 2. When `tool_choice` is set to "required" AND there is only one tool available - - This targeted reset mechanism allows the model to decide whether to make additional tool calls in subsequent turns while avoiding infinite loops in these specific cases. - + To prevent infinite loops, the framework automatically resets `tool_choice` to "auto" after a tool call. This behavior is configurable via [`agent.reset_tool_choice`][agents.agent.Agent.reset_tool_choice]. The infinite loop is because tool results are sent to the LLM, which then generates another tool call because of `tool_choice`, ad infinitum. + If you want the Agent to completely stop after a tool call (rather than continuing with auto mode), you can set [`Agent.tool_use_behavior="stop_on_first_tool"`] which will directly use the tool output as the final response without further LLM processing. diff --git a/src/agents/_run_impl.py b/src/agents/_run_impl.py index df3db42f6..4b3a71cca 100644 --- a/src/agents/_run_impl.py +++ b/src/agents/_run_impl.py @@ -4,7 +4,7 @@ import dataclasses import inspect from collections.abc import Awaitable -from dataclasses import dataclass +from dataclasses import dataclass, field from typing import TYPE_CHECKING, Any, cast from openai.types.responses import ( @@ -52,7 +52,7 @@ from .models.interface import ModelTracing from .run_context import RunContextWrapper, TContext from .stream_events import RunItemStreamEvent, StreamEvent -from .tool import ComputerTool, FunctionTool, FunctionToolResult, Tool +from .tool import ComputerTool, FunctionTool, FunctionToolResult from .tracing import ( SpanError, Trace, @@ -77,6 +77,22 @@ class QueueCompleteSentinel: _NOT_FINAL_OUTPUT = ToolsToFinalOutputResult(is_final_output=False, final_output=None) +@dataclass +class AgentToolUseTracker: + data: list[tuple[Agent, list[str]]] = field(default_factory=list) + + def add_tool_use(self, agent: Agent[Any], tool_names: list[str]) -> None: + existing_data = next((item for item in self.data if item[0] == agent), None) + if existing_data: + existing_data[1].extend(tool_names) + else: + self.data.append((agent, tool_names)) + + def has_used_tools(self, agent: Agent[Any]) -> bool: + existing_data = next((item for item in self.data if item[0] == agent), None) + return existing_data is not None and len(existing_data[1]) > 0 + + @dataclass class ToolRunHandoff: handoff: Handoff @@ -101,6 +117,7 @@ class ProcessedResponse: handoffs: list[ToolRunHandoff] functions: list[ToolRunFunction] computer_actions: list[ToolRunComputerAction] + tools_used: list[str] # Names of all tools used, including hosted tools def has_tools_to_run(self) -> bool: # Handoffs, functions and computer actions need local processing @@ -208,29 +225,6 @@ async def execute_tools_and_side_effects( new_step_items.extend([result.run_item for result in function_results]) new_step_items.extend(computer_results) - # Reset tool_choice to "auto" after tool execution to prevent infinite loops - if processed_response.functions or processed_response.computer_actions: - tools = agent.tools - - if ( - run_config.model_settings and - cls._should_reset_tool_choice(run_config.model_settings, tools) - ): - # update the run_config model settings with a copy - new_run_config_settings = dataclasses.replace( - run_config.model_settings, - tool_choice="auto" - ) - run_config = dataclasses.replace(run_config, model_settings=new_run_config_settings) - - if cls._should_reset_tool_choice(agent.model_settings, tools): - # Create a modified copy instead of modifying the original agent - new_model_settings = dataclasses.replace( - agent.model_settings, - tool_choice="auto" - ) - agent = dataclasses.replace(agent, model_settings=new_model_settings) - # Second, check if there are any handoffs if run_handoffs := processed_response.handoffs: return await cls.execute_handoffs( @@ -322,22 +316,16 @@ async def execute_tools_and_side_effects( ) @classmethod - def _should_reset_tool_choice(cls, model_settings: ModelSettings, tools: list[Tool]) -> bool: - if model_settings is None or model_settings.tool_choice is None: - return False + def maybe_reset_tool_choice( + cls, agent: Agent[Any], tool_use_tracker: AgentToolUseTracker, model_settings: ModelSettings + ) -> ModelSettings: + """Resets tool choice to None if the agent has used tools and the agent's reset_tool_choice + flag is True.""" - # for specific tool choices - if ( - isinstance(model_settings.tool_choice, str) and - model_settings.tool_choice not in ["auto", "required", "none"] - ): - return True + if agent.reset_tool_choice is True and tool_use_tracker.has_used_tools(agent): + return dataclasses.replace(model_settings, tool_choice=None) - # for one tool and required tool choice - if model_settings.tool_choice == "required": - return len(tools) == 1 - - return False + return model_settings @classmethod def process_model_response( @@ -353,7 +341,7 @@ def process_model_response( run_handoffs = [] functions = [] computer_actions = [] - + tools_used: list[str] = [] handoff_map = {handoff.tool_name: handoff for handoff in handoffs} function_map = {tool.name: tool for tool in agent.tools if isinstance(tool, FunctionTool)} computer_tool = next((tool for tool in agent.tools if isinstance(tool, ComputerTool)), None) @@ -363,12 +351,15 @@ def process_model_response( items.append(MessageOutputItem(raw_item=output, agent=agent)) elif isinstance(output, ResponseFileSearchToolCall): items.append(ToolCallItem(raw_item=output, agent=agent)) + tools_used.append("file_search") elif isinstance(output, ResponseFunctionWebSearch): items.append(ToolCallItem(raw_item=output, agent=agent)) + tools_used.append("web_search") elif isinstance(output, ResponseReasoningItem): items.append(ReasoningItem(raw_item=output, agent=agent)) elif isinstance(output, ResponseComputerToolCall): items.append(ToolCallItem(raw_item=output, agent=agent)) + tools_used.append("computer_use") if not computer_tool: _error_tracing.attach_error_to_current_span( SpanError( @@ -390,6 +381,8 @@ def process_model_response( if not isinstance(output, ResponseFunctionToolCall): continue + tools_used.append(output.name) + # Handoffs if output.name in handoff_map: items.append(HandoffCallItem(raw_item=output, agent=agent)) @@ -421,6 +414,7 @@ def process_model_response( handoffs=run_handoffs, functions=functions, computer_actions=computer_actions, + tools_used=tools_used, ) @classmethod diff --git a/src/agents/agent.py b/src/agents/agent.py index 2723e678a..216a5d1b9 100644 --- a/src/agents/agent.py +++ b/src/agents/agent.py @@ -143,6 +143,10 @@ class Agent(Generic[TContext]): web search, etc are always processed by the LLM. """ + reset_tool_choice: bool = True + """Whether to reset the tool choice to the default value after a tool has been called. Defaults + to True. This ensures that the agent doesn't enter an infinite loop of tool usage.""" + def clone(self, **kwargs: Any) -> Agent[TContext]: """Make a copy of the agent, with the given arguments changed. For example, you could do: ``` diff --git a/src/agents/models/openai_responses.py b/src/agents/models/openai_responses.py index b95471237..c5b591c6a 100644 --- a/src/agents/models/openai_responses.py +++ b/src/agents/models/openai_responses.py @@ -208,8 +208,10 @@ async def _fetch_response( list_input = ItemHelpers.input_to_new_input_list(input) parallel_tool_calls = ( - True if model_settings.parallel_tool_calls and tools and len(tools) > 0 - else False if model_settings.parallel_tool_calls is False + True + if model_settings.parallel_tool_calls and tools and len(tools) > 0 + else False + if model_settings.parallel_tool_calls is False else NOT_GIVEN ) diff --git a/src/agents/run.py b/src/agents/run.py index 934400fe1..54dedd289 100644 --- a/src/agents/run.py +++ b/src/agents/run.py @@ -8,6 +8,7 @@ from openai.types.responses import ResponseCompletedEvent from ._run_impl import ( + AgentToolUseTracker, NextStepFinalOutput, NextStepHandoff, NextStepRunAgain, @@ -149,6 +150,8 @@ async def run( if run_config is None: run_config = RunConfig() + tool_use_tracker = AgentToolUseTracker() + with TraceCtxManager( workflow_name=run_config.workflow_name, trace_id=run_config.trace_id, @@ -223,6 +226,7 @@ async def run( context_wrapper=context_wrapper, run_config=run_config, should_run_agent_start_hooks=should_run_agent_start_hooks, + tool_use_tracker=tool_use_tracker, ), ) else: @@ -234,6 +238,7 @@ async def run( context_wrapper=context_wrapper, run_config=run_config, should_run_agent_start_hooks=should_run_agent_start_hooks, + tool_use_tracker=tool_use_tracker, ) should_run_agent_start_hooks = False @@ -481,6 +486,7 @@ async def _run_streamed_impl( current_agent = starting_agent current_turn = 0 should_run_agent_start_hooks = True + tool_use_tracker = AgentToolUseTracker() streamed_result._event_queue.put_nowait(AgentUpdatedStreamEvent(new_agent=current_agent)) @@ -541,6 +547,7 @@ async def _run_streamed_impl( context_wrapper, run_config, should_run_agent_start_hooks, + tool_use_tracker, ) should_run_agent_start_hooks = False @@ -608,6 +615,7 @@ async def _run_single_turn_streamed( context_wrapper: RunContextWrapper[TContext], run_config: RunConfig, should_run_agent_start_hooks: bool, + tool_use_tracker: AgentToolUseTracker, ) -> SingleStepResult: if should_run_agent_start_hooks: await asyncio.gather( @@ -630,6 +638,8 @@ async def _run_single_turn_streamed( model = cls._get_model(agent, run_config) model_settings = agent.model_settings.resolve(run_config.model_settings) + model_settings = RunImpl.maybe_reset_tool_choice(agent, tool_use_tracker, model_settings) + final_response: ModelResponse | None = None input = ItemHelpers.input_to_new_input_list(streamed_result.input) @@ -681,6 +691,7 @@ async def _run_single_turn_streamed( hooks=hooks, context_wrapper=context_wrapper, run_config=run_config, + tool_use_tracker=tool_use_tracker, ) RunImpl.stream_step_result_to_queue(single_step_result, streamed_result._event_queue) @@ -697,6 +708,7 @@ async def _run_single_turn( context_wrapper: RunContextWrapper[TContext], run_config: RunConfig, should_run_agent_start_hooks: bool, + tool_use_tracker: AgentToolUseTracker, ) -> SingleStepResult: # Ensure we run the hooks before anything else if should_run_agent_start_hooks: @@ -724,6 +736,7 @@ async def _run_single_turn( handoffs, context_wrapper, run_config, + tool_use_tracker, ) return await cls._get_single_step_result_from_response( @@ -736,6 +749,7 @@ async def _run_single_turn( hooks=hooks, context_wrapper=context_wrapper, run_config=run_config, + tool_use_tracker=tool_use_tracker, ) @classmethod @@ -751,6 +765,7 @@ async def _get_single_step_result_from_response( hooks: RunHooks[TContext], context_wrapper: RunContextWrapper[TContext], run_config: RunConfig, + tool_use_tracker: AgentToolUseTracker, ) -> SingleStepResult: processed_response = RunImpl.process_model_response( agent=agent, @@ -758,6 +773,9 @@ async def _get_single_step_result_from_response( output_schema=output_schema, handoffs=handoffs, ) + + tool_use_tracker.add_tool_use(agent, processed_response.tools_used) + return await RunImpl.execute_tools_and_side_effects( agent=agent, original_input=original_input, @@ -856,9 +874,12 @@ async def _get_new_response( handoffs: list[Handoff], context_wrapper: RunContextWrapper[TContext], run_config: RunConfig, + tool_use_tracker: AgentToolUseTracker, ) -> ModelResponse: model = cls._get_model(agent, run_config) model_settings = agent.model_settings.resolve(run_config.model_settings) + model_settings = RunImpl.maybe_reset_tool_choice(agent, tool_use_tracker, model_settings) + new_response = await model.get_response( system_instructions=system_prompt, input=input, diff --git a/tests/fake_model.py b/tests/fake_model.py index f2ba62292..ecbb75832 100644 --- a/tests/fake_model.py +++ b/tests/fake_model.py @@ -1,6 +1,7 @@ from __future__ import annotations from collections.abc import AsyncIterator +from typing import Any from openai.types.responses import Response, ResponseCompletedEvent @@ -31,6 +32,7 @@ def __init__( [initial_output] if initial_output else [] ) self.tracing_enabled = tracing_enabled + self.last_turn_args: dict[str, Any] = {} def set_next_output(self, output: list[TResponseOutputItem] | Exception): self.turn_outputs.append(output) @@ -53,6 +55,14 @@ async def get_response( handoffs: list[Handoff], tracing: ModelTracing, ) -> ModelResponse: + self.last_turn_args = { + "system_instructions": system_instructions, + "input": input, + "model_settings": model_settings, + "tools": tools, + "output_schema": output_schema, + } + with generation_span(disabled=not self.tracing_enabled) as span: output = self.get_next_output() diff --git a/tests/test_tool_choice_reset.py b/tests/test_tool_choice_reset.py index 7dae6f638..f95117fd5 100644 --- a/tests/test_tool_choice_reset.py +++ b/tests/test_tool_choice_reset.py @@ -1,63 +1,78 @@ import pytest -from agents import Agent, ModelSettings, Runner, Tool -from agents._run_impl import RunImpl +from agents import Agent, ModelSettings, Runner +from agents._run_impl import AgentToolUseTracker, RunImpl from .fake_model import FakeModel -from .test_responses import ( - get_function_tool, - get_function_tool_call, - get_text_message, -) +from .test_responses import get_function_tool, get_function_tool_call, get_text_message class TestToolChoiceReset: - def test_should_reset_tool_choice_direct(self): """ Test the _should_reset_tool_choice method directly with various inputs to ensure it correctly identifies cases where reset is needed. """ - # Case 1: tool_choice = None should not reset + agent = Agent(name="test_agent") + + # Case 1: Empty tool use tracker should not change the "None" tool choice model_settings = ModelSettings(tool_choice=None) - tools1: list[Tool] = [get_function_tool("tool1")] - # Cast to list[Tool] to fix type checking issues - assert not RunImpl._should_reset_tool_choice(model_settings, tools1) + tracker = AgentToolUseTracker() + new_settings = RunImpl.maybe_reset_tool_choice(agent, tracker, model_settings) + assert new_settings.tool_choice == model_settings.tool_choice - # Case 2: tool_choice = "auto" should not reset + # Case 2: Empty tool use tracker should not change the "auto" tool choice model_settings = ModelSettings(tool_choice="auto") - assert not RunImpl._should_reset_tool_choice(model_settings, tools1) + tracker = AgentToolUseTracker() + new_settings = RunImpl.maybe_reset_tool_choice(agent, tracker, model_settings) + assert model_settings.tool_choice == new_settings.tool_choice - # Case 3: tool_choice = "none" should not reset - model_settings = ModelSettings(tool_choice="none") - assert not RunImpl._should_reset_tool_choice(model_settings, tools1) + # Case 3: Empty tool use tracker should not change the "required" tool choice + model_settings = ModelSettings(tool_choice="required") + tracker = AgentToolUseTracker() + new_settings = RunImpl.maybe_reset_tool_choice(agent, tracker, model_settings) + assert model_settings.tool_choice == new_settings.tool_choice # Case 4: tool_choice = "required" with one tool should reset model_settings = ModelSettings(tool_choice="required") - assert RunImpl._should_reset_tool_choice(model_settings, tools1) + tracker = AgentToolUseTracker() + tracker.add_tool_use(agent, ["tool1"]) + new_settings = RunImpl.maybe_reset_tool_choice(agent, tracker, model_settings) + assert new_settings.tool_choice is None - # Case 5: tool_choice = "required" with multiple tools should not reset + # Case 5: tool_choice = "required" with multiple tools should reset model_settings = ModelSettings(tool_choice="required") - tools2: list[Tool] = [get_function_tool("tool1"), get_function_tool("tool2")] - assert not RunImpl._should_reset_tool_choice(model_settings, tools2) - - # Case 6: Specific tool choice should reset - model_settings = ModelSettings(tool_choice="specific_tool") - assert RunImpl._should_reset_tool_choice(model_settings, tools1) + tracker = AgentToolUseTracker() + tracker.add_tool_use(agent, ["tool1", "tool2"]) + new_settings = RunImpl.maybe_reset_tool_choice(agent, tracker, model_settings) + assert new_settings.tool_choice is None + + # Case 6: Tool usage on a different agent should not affect the tool choice + model_settings = ModelSettings(tool_choice="foo_bar") + tracker = AgentToolUseTracker() + tracker.add_tool_use(Agent(name="other_agent"), ["foo_bar", "baz"]) + new_settings = RunImpl.maybe_reset_tool_choice(agent, tracker, model_settings) + assert new_settings.tool_choice == model_settings.tool_choice + + # Case 7: tool_choice = "foo_bar" with multiple tools should reset + model_settings = ModelSettings(tool_choice="foo_bar") + tracker = AgentToolUseTracker() + tracker.add_tool_use(agent, ["foo_bar", "baz"]) + new_settings = RunImpl.maybe_reset_tool_choice(agent, tracker, model_settings) + assert new_settings.tool_choice is None @pytest.mark.asyncio async def test_required_tool_choice_with_multiple_runs(self): """ - Test scenario 1: When multiple runs are executed with tool_choice="required" - Ensure each run works correctly and doesn't get stuck in infinite loop - Also verify that tool_choice remains "required" between runs + Test scenario 1: When multiple runs are executed with tool_choice="required", ensure each + run works correctly and doesn't get stuck in an infinite loop. Also verify that tool_choice + remains "required" between runs. """ # Set up our fake model with responses for two runs fake_model = FakeModel() - fake_model.add_multiple_turn_outputs([ - [get_text_message("First run response")], - [get_text_message("Second run response")] - ]) + fake_model.add_multiple_turn_outputs( + [[get_text_message("First run response")], [get_text_message("Second run response")]] + ) # Create agent with a custom tool and tool_choice="required" custom_tool = get_function_tool("custom_tool") @@ -71,24 +86,26 @@ async def test_required_tool_choice_with_multiple_runs(self): # First run should work correctly and preserve tool_choice result1 = await Runner.run(agent, "first run") assert result1.final_output == "First run response" - assert agent.model_settings.tool_choice == "required", "tool_choice should stay required" + assert fake_model.last_turn_args["model_settings"].tool_choice == "required", ( + "tool_choice should stay required" + ) # Second run should also work correctly with tool_choice still required result2 = await Runner.run(agent, "second run") assert result2.final_output == "Second run response" - assert agent.model_settings.tool_choice == "required", "tool_choice should stay required" + assert fake_model.last_turn_args["model_settings"].tool_choice == "required", ( + "tool_choice should stay required" + ) @pytest.mark.asyncio async def test_required_with_stop_at_tool_name(self): """ - Test scenario 2: When using required tool_choice with stop_at_tool_names behavior - Ensure it correctly stops at the specified tool + Test scenario 2: When using required tool_choice with stop_at_tool_names behavior, ensure + it correctly stops at the specified tool """ # Set up fake model to return a tool call for second_tool fake_model = FakeModel() - fake_model.set_next_output([ - get_function_tool_call("second_tool", "{}") - ]) + fake_model.set_next_output([get_function_tool_call("second_tool", "{}")]) # Create agent with two tools and tool_choice="required" and stop_at_tool behavior first_tool = get_function_tool("first_tool", return_value="first tool result") @@ -109,8 +126,8 @@ async def test_required_with_stop_at_tool_name(self): @pytest.mark.asyncio async def test_specific_tool_choice(self): """ - Test scenario 3: When using a specific tool choice name - Ensure it doesn't cause infinite loops + Test scenario 3: When using a specific tool choice name, ensure it doesn't cause infinite + loops. """ # Set up fake model to return a text message fake_model = FakeModel() @@ -135,17 +152,19 @@ async def test_specific_tool_choice(self): @pytest.mark.asyncio async def test_required_with_single_tool(self): """ - Test scenario 4: When using required tool_choice with only one tool - Ensure it doesn't cause infinite loops + Test scenario 4: When using required tool_choice with only one tool, ensure it doesn't cause + infinite loops. """ # Set up fake model to return a tool call followed by a text message fake_model = FakeModel() - fake_model.add_multiple_turn_outputs([ - # First call returns a tool call - [get_function_tool_call("custom_tool", "{}")], - # Second call returns a text message - [get_text_message("Final response")] - ]) + fake_model.add_multiple_turn_outputs( + [ + # First call returns a tool call + [get_function_tool_call("custom_tool", "{}")], + # Second call returns a text message + [get_text_message("Final response")], + ] + ) # Create agent with a single tool and tool_choice="required" custom_tool = get_function_tool("custom_tool", return_value="tool result") @@ -159,3 +178,33 @@ async def test_required_with_single_tool(self): # Run should complete without infinite loops result = await Runner.run(agent, "first run") assert result.final_output == "Final response" + + @pytest.mark.asyncio + async def test_dont_reset_tool_choice_if_not_required(self): + """ + Test scenario 5: When agent.reset_tool_choice is False, ensure tool_choice is not reset. + """ + # Set up fake model to return a tool call followed by a text message + fake_model = FakeModel() + fake_model.add_multiple_turn_outputs( + [ + # First call returns a tool call + [get_function_tool_call("custom_tool", "{}")], + # Second call returns a text message + [get_text_message("Final response")], + ] + ) + + # Create agent with a single tool and tool_choice="required" and reset_tool_choice=False + custom_tool = get_function_tool("custom_tool", return_value="tool result") + agent = Agent( + name="test_agent", + model=fake_model, + tools=[custom_tool], + model_settings=ModelSettings(tool_choice="required"), + reset_tool_choice=False, + ) + + await Runner.run(agent, "test") + + assert fake_model.last_turn_args["model_settings"].tool_choice == "required" From f99703ef958638e9d08b962ffe015be798359cb9 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 25 Mar 2025 12:51:40 -0400 Subject: [PATCH 027/337] [2/n] Add MCP support to Runner ### Summary: This enables users to **use** MCP inside the SDK. 1. You add a list of MCP servers to `Agent`, via `mcp_server=[...]` 2. When an agent runs, we look up its MCP tools and add them to the list of tools. 3. When a tool call occurs, we call the relevant MCP server. Notes: 1. There's some refactoring to make sure we send the full list of tools to the Runner/Model etc. 2. Right now, you could have a locally defined tool that conflicts with an MCP defined tool. I didn't add errors for that, will do in a followup. ### Test Plan: See unit tests. Also has an end to end example next PR. --- src/agents/_run_impl.py | 5 +- src/agents/agent.py | 20 +++ src/agents/run.py | 24 +++- tests/mcp/__init__.py | 0 tests/mcp/conftest.py | 11 ++ tests/mcp/helpers.py | 54 ++++++++ tests/mcp/test_caching.py | 57 ++++++++ tests/mcp/test_connect_disconnect.py | 69 ++++++++++ tests/mcp/test_mcp_util.py | 109 +++++++++++++++ tests/mcp/test_runner_calls_mcp.py | 197 +++++++++++++++++++++++++++ tests/mcp/test_server_errors.py | 38 ++++++ tests/test_run_step_execution.py | 1 + tests/test_run_step_processing.py | 100 +++++++++++--- tests/voice/test_openai_stt.py | 10 +- 14 files changed, 661 insertions(+), 34 deletions(-) create mode 100644 tests/mcp/__init__.py create mode 100644 tests/mcp/conftest.py create mode 100644 tests/mcp/helpers.py create mode 100644 tests/mcp/test_caching.py create mode 100644 tests/mcp/test_connect_disconnect.py create mode 100644 tests/mcp/test_mcp_util.py create mode 100644 tests/mcp/test_runner_calls_mcp.py create mode 100644 tests/mcp/test_server_errors.py diff --git a/src/agents/_run_impl.py b/src/agents/_run_impl.py index df3db42f6..80b9cc6da 100644 --- a/src/agents/_run_impl.py +++ b/src/agents/_run_impl.py @@ -344,6 +344,7 @@ def process_model_response( cls, *, agent: Agent[Any], + all_tools: list[Tool], response: ModelResponse, output_schema: AgentOutputSchema | None, handoffs: list[Handoff], @@ -355,8 +356,8 @@ def process_model_response( computer_actions = [] handoff_map = {handoff.tool_name: handoff for handoff in handoffs} - function_map = {tool.name: tool for tool in agent.tools if isinstance(tool, FunctionTool)} - computer_tool = next((tool for tool in agent.tools if isinstance(tool, ComputerTool)), None) + function_map = {tool.name: tool for tool in all_tools if isinstance(tool, FunctionTool)} + computer_tool = next((tool for tool in all_tools if isinstance(tool, ComputerTool)), None) for output in response.output: if isinstance(output, ResponseOutputMessage): diff --git a/src/agents/agent.py b/src/agents/agent.py index 2723e678a..3258e15a0 100644 --- a/src/agents/agent.py +++ b/src/agents/agent.py @@ -12,6 +12,7 @@ from .handoffs import Handoff from .items import ItemHelpers from .logger import logger +from .mcp import MCPUtil from .model_settings import ModelSettings from .models.interface import Model from .run_context import RunContextWrapper, TContext @@ -21,6 +22,7 @@ if TYPE_CHECKING: from .lifecycle import AgentHooks + from .mcp import MCPServer from .result import RunResult @@ -107,6 +109,16 @@ class Agent(Generic[TContext]): tools: list[Tool] = field(default_factory=list) """A list of tools that the agent can use.""" + mcp_servers: list[MCPServer] = field(default_factory=list) + """A list of [Model Context Protocol](https://modelcontextprotocol.io/) servers that + the agent can use. Every time the agent runs, it will include tools from these servers in the + list of available tools. + + NOTE: You are expected to manage the lifecycle of these servers. Specifically, you must call + `server.connect()` before passing it to the agent, and `server.cleanup()` when the server is no + longer needed. + """ + input_guardrails: list[InputGuardrail[TContext]] = field(default_factory=list) """A list of checks that run in parallel to the agent's execution, before generating a response. Runs only if the agent is the first agent in the chain. @@ -205,3 +217,11 @@ async def get_system_prompt(self, run_context: RunContextWrapper[TContext]) -> s logger.error(f"Instructions must be a string or a function, got {self.instructions}") return None + + async def get_mcp_tools(self) -> list[Tool]: + """Fetches the available tools from the MCP servers.""" + return await MCPUtil.get_all_function_tools(self.mcp_servers) + + async def get_all_tools(self) -> list[Tool]: + """All agent tools, including MCP tools and function tools.""" + return await MCPUtil.get_all_function_tools(self.mcp_servers) + self.tools diff --git a/src/agents/run.py b/src/agents/run.py index 934400fe1..b7ac85f9c 100644 --- a/src/agents/run.py +++ b/src/agents/run.py @@ -7,6 +7,8 @@ from openai.types.responses import ResponseCompletedEvent +from agents.tool import Tool + from ._run_impl import ( NextStepFinalOutput, NextStepHandoff, @@ -177,7 +179,8 @@ async def run( # agent changes, or if the agent loop ends. if current_span is None: handoff_names = [h.agent_name for h in cls._get_handoffs(current_agent)] - tool_names = [t.name for t in current_agent.tools] + all_tools = await cls._get_all_tools(current_agent) + tool_names = [t.name for t in all_tools] if output_schema := cls._get_output_schema(current_agent): output_type_name = output_schema.output_type_name() else: @@ -217,6 +220,7 @@ async def run( ), cls._run_single_turn( agent=current_agent, + all_tools=all_tools, original_input=original_input, generated_items=generated_items, hooks=hooks, @@ -228,6 +232,7 @@ async def run( else: turn_result = await cls._run_single_turn( agent=current_agent, + all_tools=all_tools, original_input=original_input, generated_items=generated_items, hooks=hooks, @@ -627,7 +632,7 @@ async def _run_single_turn_streamed( system_prompt = await agent.get_system_prompt(context_wrapper) handoffs = cls._get_handoffs(agent) - + all_tools = await cls._get_all_tools(agent) model = cls._get_model(agent, run_config) model_settings = agent.model_settings.resolve(run_config.model_settings) final_response: ModelResponse | None = None @@ -640,7 +645,7 @@ async def _run_single_turn_streamed( system_prompt, input, model_settings, - agent.tools, + all_tools, output_schema, handoffs, get_model_tracing_impl( @@ -677,6 +682,7 @@ async def _run_single_turn_streamed( pre_step_items=streamed_result.new_items, new_response=final_response, output_schema=output_schema, + all_tools=all_tools, handoffs=handoffs, hooks=hooks, context_wrapper=context_wrapper, @@ -691,6 +697,7 @@ async def _run_single_turn( cls, *, agent: Agent[TContext], + all_tools: list[Tool], original_input: str | list[TResponseInputItem], generated_items: list[RunItem], hooks: RunHooks[TContext], @@ -721,6 +728,7 @@ async def _run_single_turn( system_prompt, input, output_schema, + all_tools, handoffs, context_wrapper, run_config, @@ -732,6 +740,7 @@ async def _run_single_turn( pre_step_items=generated_items, new_response=new_response, output_schema=output_schema, + all_tools=all_tools, handoffs=handoffs, hooks=hooks, context_wrapper=context_wrapper, @@ -743,6 +752,7 @@ async def _get_single_step_result_from_response( cls, *, agent: Agent[TContext], + all_tools: list[Tool], original_input: str | list[TResponseInputItem], pre_step_items: list[RunItem], new_response: ModelResponse, @@ -754,6 +764,7 @@ async def _get_single_step_result_from_response( ) -> SingleStepResult: processed_response = RunImpl.process_model_response( agent=agent, + all_tools=all_tools, response=new_response, output_schema=output_schema, handoffs=handoffs, @@ -853,6 +864,7 @@ async def _get_new_response( system_prompt: str | None, input: list[TResponseInputItem], output_schema: AgentOutputSchema | None, + all_tools: list[Tool], handoffs: list[Handoff], context_wrapper: RunContextWrapper[TContext], run_config: RunConfig, @@ -863,7 +875,7 @@ async def _get_new_response( system_instructions=system_prompt, input=input, model_settings=model_settings, - tools=agent.tools, + tools=all_tools, output_schema=output_schema, handoffs=handoffs, tracing=get_model_tracing_impl( @@ -892,6 +904,10 @@ def _get_handoffs(cls, agent: Agent[Any]) -> list[Handoff]: handoffs.append(handoff(handoff_item)) return handoffs + @classmethod + async def _get_all_tools(cls, agent: Agent[Any]) -> list[Tool]: + return await agent.get_all_tools() + @classmethod def _get_model(cls, agent: Agent[Any], run_config: RunConfig) -> Model: if isinstance(run_config.model, Model): diff --git a/tests/mcp/__init__.py b/tests/mcp/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/tests/mcp/conftest.py b/tests/mcp/conftest.py new file mode 100644 index 000000000..80fd15ece --- /dev/null +++ b/tests/mcp/conftest.py @@ -0,0 +1,11 @@ +import os +import sys + + +# Skip MCP tests on Python 3.9 +def pytest_ignore_collect(collection_path, config): + if sys.version_info[:2] == (3, 9): + this_dir = os.path.dirname(__file__) + + if str(collection_path).startswith(this_dir): + return True diff --git a/tests/mcp/helpers.py b/tests/mcp/helpers.py new file mode 100644 index 000000000..952b3ea7b --- /dev/null +++ b/tests/mcp/helpers.py @@ -0,0 +1,54 @@ +import json +import shutil +from typing import Any + +from mcp import Tool as MCPTool +from mcp.types import CallToolResult, TextContent + +from agents.mcp import MCPServer + +tee = shutil.which("tee") or "" +assert tee, "tee not found" + + +# Added dummy stream classes for patching stdio_client to avoid real I/O during tests +class DummyStream: + async def send(self, msg): + pass + + async def receive(self): + raise Exception("Dummy receive not implemented") + + +class DummyStreamsContextManager: + async def __aenter__(self): + return (DummyStream(), DummyStream()) + + async def __aexit__(self, exc_type, exc_val, exc_tb): + pass + + +class FakeMCPServer(MCPServer): + def __init__(self, tools: list[MCPTool] | None = None): + self.tools: list[MCPTool] = tools or [] + self.tool_calls: list[str] = [] + self.tool_results: list[str] = [] + + def add_tool(self, name: str, input_schema: dict[str, Any]): + self.tools.append(MCPTool(name=name, inputSchema=input_schema)) + + async def connect(self): + pass + + async def cleanup(self): + pass + + async def list_tools(self): + return self.tools + + async def call_tool(self, tool_name: str, arguments: dict[str, Any] | None) -> CallToolResult: + self.tool_calls.append(tool_name) + self.tool_results.append(f"result_{tool_name}_{json.dumps(arguments)}") + return CallToolResult( + content=[TextContent(text=self.tool_results[-1], type="text")], + ) diff --git a/tests/mcp/test_caching.py b/tests/mcp/test_caching.py new file mode 100644 index 000000000..cac409e6e --- /dev/null +++ b/tests/mcp/test_caching.py @@ -0,0 +1,57 @@ +from unittest.mock import AsyncMock, patch + +import pytest +from mcp.types import ListToolsResult, Tool as MCPTool + +from agents.mcp import MCPServerStdio + +from .helpers import DummyStreamsContextManager, tee + + +@pytest.mark.asyncio +@patch("mcp.client.stdio.stdio_client", return_value=DummyStreamsContextManager()) +@patch("mcp.client.session.ClientSession.initialize", new_callable=AsyncMock, return_value=None) +@patch("mcp.client.session.ClientSession.list_tools") +async def test_server_caching_works( + mock_list_tools: AsyncMock, mock_initialize: AsyncMock, mock_stdio_client +): + """Test that if we turn caching on, the list of tools is cached and not fetched from the server + on each call to `list_tools()`. + """ + server = MCPServerStdio( + params={ + "command": tee, + }, + cache_tools_list=True, + ) + + tools = [ + MCPTool(name="tool1", inputSchema={}), + MCPTool(name="tool2", inputSchema={}), + ] + + mock_list_tools.return_value = ListToolsResult(tools=tools) + + async with server: + # Call list_tools() multiple times + tools = await server.list_tools() + assert tools == tools + + assert mock_list_tools.call_count == 1, "list_tools() should have been called once" + + # Call list_tools() again, should return the cached value + tools = await server.list_tools() + assert tools == tools + + assert mock_list_tools.call_count == 1, "list_tools() should not have been called again" + + # Invalidate the cache and call list_tools() again + server.invalidate_tools_cache() + tools = await server.list_tools() + assert tools == tools + + assert mock_list_tools.call_count == 2, "list_tools() should be called again" + + # Without invalidating the cache, calling list_tools() again should return the cached value + tools = await server.list_tools() + assert tools == tools diff --git a/tests/mcp/test_connect_disconnect.py b/tests/mcp/test_connect_disconnect.py new file mode 100644 index 000000000..b00130397 --- /dev/null +++ b/tests/mcp/test_connect_disconnect.py @@ -0,0 +1,69 @@ +from unittest.mock import AsyncMock, patch + +import pytest +from mcp.types import ListToolsResult, Tool as MCPTool + +from agents.mcp import MCPServerStdio + +from .helpers import DummyStreamsContextManager, tee + + +@pytest.mark.asyncio +@patch("mcp.client.stdio.stdio_client", return_value=DummyStreamsContextManager()) +@patch("mcp.client.session.ClientSession.initialize", new_callable=AsyncMock, return_value=None) +@patch("mcp.client.session.ClientSession.list_tools") +async def test_async_ctx_manager_works( + mock_list_tools: AsyncMock, mock_initialize: AsyncMock, mock_stdio_client +): + """Test that the async context manager works.""" + server = MCPServerStdio( + params={ + "command": tee, + }, + cache_tools_list=True, + ) + + tools = [ + MCPTool(name="tool1", inputSchema={}), + MCPTool(name="tool2", inputSchema={}), + ] + + mock_list_tools.return_value = ListToolsResult(tools=tools) + + assert server.session is None, "Server should not be connected" + + async with server: + assert server.session is not None, "Server should be connected" + + assert server.session is None, "Server should be disconnected" + + +@pytest.mark.asyncio +@patch("mcp.client.stdio.stdio_client", return_value=DummyStreamsContextManager()) +@patch("mcp.client.session.ClientSession.initialize", new_callable=AsyncMock, return_value=None) +@patch("mcp.client.session.ClientSession.list_tools") +async def test_manual_connect_disconnect_works( + mock_list_tools: AsyncMock, mock_initialize: AsyncMock, mock_stdio_client +): + """Test that the async context manager works.""" + server = MCPServerStdio( + params={ + "command": tee, + }, + cache_tools_list=True, + ) + + tools = [ + MCPTool(name="tool1", inputSchema={}), + MCPTool(name="tool2", inputSchema={}), + ] + + mock_list_tools.return_value = ListToolsResult(tools=tools) + + assert server.session is None, "Server should not be connected" + + await server.connect() + assert server.session is not None, "Server should be connected" + + await server.cleanup() + assert server.session is None, "Server should be disconnected" diff --git a/tests/mcp/test_mcp_util.py b/tests/mcp/test_mcp_util.py new file mode 100644 index 000000000..345df9962 --- /dev/null +++ b/tests/mcp/test_mcp_util.py @@ -0,0 +1,109 @@ +import logging +from typing import Any + +import pytest +from mcp.types import Tool as MCPTool +from pydantic import BaseModel + +from agents import FunctionTool, RunContextWrapper +from agents.exceptions import AgentsException, ModelBehaviorError +from agents.mcp import MCPServer, MCPUtil + +from .helpers import FakeMCPServer + + +class Foo(BaseModel): + bar: str + baz: int + + +class Bar(BaseModel): + qux: str + + +@pytest.mark.asyncio +async def test_get_all_function_tools(): + """Test that the get_all_function_tools function returns all function tools from a list of MCP + servers. + """ + names = ["test_tool_1", "test_tool_2", "test_tool_3", "test_tool_4", "test_tool_5"] + schemas = [ + {}, + {}, + {}, + Foo.model_json_schema(), + Bar.model_json_schema(), + ] + + server1 = FakeMCPServer() + server1.add_tool(names[0], schemas[0]) + server1.add_tool(names[1], schemas[1]) + + server2 = FakeMCPServer() + server2.add_tool(names[2], schemas[2]) + server2.add_tool(names[3], schemas[3]) + + server3 = FakeMCPServer() + server3.add_tool(names[4], schemas[4]) + + servers: list[MCPServer] = [server1, server2, server3] + tools = await MCPUtil.get_all_function_tools(servers) + assert len(tools) == 5 + assert all(tool.name in names for tool in tools) + + for idx, tool in enumerate(tools): + assert isinstance(tool, FunctionTool) + assert tool.params_json_schema == schemas[idx] + assert tool.name == names[idx] + + +@pytest.mark.asyncio +async def test_invoke_mcp_tool(): + """Test that the invoke_mcp_tool function invokes an MCP tool and returns the result.""" + server = FakeMCPServer() + server.add_tool("test_tool_1", {}) + + ctx = RunContextWrapper(context=None) + tool = MCPTool(name="test_tool_1", inputSchema={}) + + await MCPUtil.invoke_mcp_tool(server, tool, ctx, "") + # Just making sure it doesn't crash + + +@pytest.mark.asyncio +async def test_mcp_invoke_bad_json_errors(caplog: pytest.LogCaptureFixture): + caplog.set_level(logging.DEBUG) + + """Test that bad JSON input errors are logged and re-raised.""" + server = FakeMCPServer() + server.add_tool("test_tool_1", {}) + + ctx = RunContextWrapper(context=None) + tool = MCPTool(name="test_tool_1", inputSchema={}) + + with pytest.raises(ModelBehaviorError): + await MCPUtil.invoke_mcp_tool(server, tool, ctx, "not_json") + + assert "Invalid JSON input for tool test_tool_1" in caplog.text + + +class CrashingFakeMCPServer(FakeMCPServer): + async def call_tool(self, tool_name: str, arguments: dict[str, Any] | None): + raise Exception("Crash!") + + +@pytest.mark.asyncio +async def test_mcp_invocation_crash_causes_error(caplog: pytest.LogCaptureFixture): + caplog.set_level(logging.DEBUG) + + """Test that bad JSON input errors are logged and re-raised.""" + server = CrashingFakeMCPServer() + server.add_tool("test_tool_1", {}) + + ctx = RunContextWrapper(context=None) + tool = MCPTool(name="test_tool_1", inputSchema={}) + + with pytest.raises(AgentsException): + await MCPUtil.invoke_mcp_tool(server, tool, ctx, "") + + assert "Error invoking MCP tool test_tool_1" in caplog.text diff --git a/tests/mcp/test_runner_calls_mcp.py b/tests/mcp/test_runner_calls_mcp.py new file mode 100644 index 000000000..3319c0976 --- /dev/null +++ b/tests/mcp/test_runner_calls_mcp.py @@ -0,0 +1,197 @@ +import json + +import pytest +from pydantic import BaseModel + +from agents import Agent, ModelBehaviorError, Runner, UserError + +from ..fake_model import FakeModel +from ..test_responses import get_function_tool_call, get_text_message +from .helpers import FakeMCPServer + + +@pytest.mark.asyncio +@pytest.mark.parametrize("streaming", [False, True]) +async def test_runner_calls_mcp_tool(streaming: bool): + """Test that the runner calls an MCP tool when the model produces a tool call.""" + server = FakeMCPServer() + server.add_tool("test_tool_1", {}) + server.add_tool("test_tool_2", {}) + server.add_tool("test_tool_3", {}) + model = FakeModel() + agent = Agent( + name="test", + model=model, + mcp_servers=[server], + ) + + model.add_multiple_turn_outputs( + [ + # First turn: a message and tool call + [get_text_message("a_message"), get_function_tool_call("test_tool_2", "")], + # Second turn: text message + [get_text_message("done")], + ] + ) + + if streaming: + result = Runner.run_streamed(agent, input="user_message") + async for _ in result.stream_events(): + pass + else: + await Runner.run(agent, input="user_message") + + assert server.tool_calls == ["test_tool_2"] + + +@pytest.mark.asyncio +@pytest.mark.parametrize("streaming", [False, True]) +async def test_runner_asserts_when_mcp_tool_not_found(streaming: bool): + """Test that the runner asserts when an MCP tool is not found.""" + server = FakeMCPServer() + server.add_tool("test_tool_1", {}) + server.add_tool("test_tool_2", {}) + server.add_tool("test_tool_3", {}) + model = FakeModel() + agent = Agent( + name="test", + model=model, + mcp_servers=[server], + ) + + model.add_multiple_turn_outputs( + [ + # First turn: a message and tool call + [get_text_message("a_message"), get_function_tool_call("test_tool_doesnt_exist", "")], + # Second turn: text message + [get_text_message("done")], + ] + ) + + with pytest.raises(ModelBehaviorError): + if streaming: + result = Runner.run_streamed(agent, input="user_message") + async for _ in result.stream_events(): + pass + else: + await Runner.run(agent, input="user_message") + + +@pytest.mark.asyncio +@pytest.mark.parametrize("streaming", [False, True]) +async def test_runner_works_with_multiple_mcp_servers(streaming: bool): + """Test that the runner works with multiple MCP servers.""" + server1 = FakeMCPServer() + server1.add_tool("test_tool_1", {}) + + server2 = FakeMCPServer() + server2.add_tool("test_tool_2", {}) + server2.add_tool("test_tool_3", {}) + + model = FakeModel() + agent = Agent( + name="test", + model=model, + mcp_servers=[server1, server2], + ) + + model.add_multiple_turn_outputs( + [ + # First turn: a message and tool call + [get_text_message("a_message"), get_function_tool_call("test_tool_2", "")], + # Second turn: text message + [get_text_message("done")], + ] + ) + + if streaming: + result = Runner.run_streamed(agent, input="user_message") + async for _ in result.stream_events(): + pass + else: + await Runner.run(agent, input="user_message") + + assert server1.tool_calls == [] + assert server2.tool_calls == ["test_tool_2"] + + +@pytest.mark.asyncio +@pytest.mark.parametrize("streaming", [False, True]) +async def test_runner_errors_when_mcp_tools_clash(streaming: bool): + """Test that the runner errors when multiple servers have the same tool name.""" + server1 = FakeMCPServer() + server1.add_tool("test_tool_1", {}) + server1.add_tool("test_tool_2", {}) + + server2 = FakeMCPServer() + server2.add_tool("test_tool_2", {}) + server2.add_tool("test_tool_3", {}) + + model = FakeModel() + agent = Agent( + name="test", + model=model, + mcp_servers=[server1, server2], + ) + + model.add_multiple_turn_outputs( + [ + # First turn: a message and tool call + [get_text_message("a_message"), get_function_tool_call("test_tool_3", "")], + # Second turn: text message + [get_text_message("done")], + ] + ) + + with pytest.raises(UserError): + if streaming: + result = Runner.run_streamed(agent, input="user_message") + async for _ in result.stream_events(): + pass + else: + await Runner.run(agent, input="user_message") + + +class Foo(BaseModel): + bar: str + baz: int + + +@pytest.mark.asyncio +@pytest.mark.parametrize("streaming", [False, True]) +async def test_runner_calls_mcp_tool_with_args(streaming: bool): + """Test that the runner calls an MCP tool when the model produces a tool call.""" + server = FakeMCPServer() + await server.connect() + server.add_tool("test_tool_1", {}) + server.add_tool("test_tool_2", Foo.model_json_schema()) + server.add_tool("test_tool_3", {}) + model = FakeModel() + agent = Agent( + name="test", + model=model, + mcp_servers=[server], + ) + + json_args = json.dumps(Foo(bar="baz", baz=1).model_dump()) + + model.add_multiple_turn_outputs( + [ + # First turn: a message and tool call + [get_text_message("a_message"), get_function_tool_call("test_tool_2", json_args)], + # Second turn: text message + [get_text_message("done")], + ] + ) + + if streaming: + result = Runner.run_streamed(agent, input="user_message") + async for _ in result.stream_events(): + pass + else: + await Runner.run(agent, input="user_message") + + assert server.tool_calls == ["test_tool_2"] + assert server.tool_results == [f"result_test_tool_2_{json_args}"] + + await server.cleanup() diff --git a/tests/mcp/test_server_errors.py b/tests/mcp/test_server_errors.py new file mode 100644 index 000000000..5c6432bc5 --- /dev/null +++ b/tests/mcp/test_server_errors.py @@ -0,0 +1,38 @@ +import pytest + +from agents.exceptions import UserError +from agents.mcp.server import _MCPServerWithClientSession + + +class CrashingClientSessionServer(_MCPServerWithClientSession): + def __init__(self): + super().__init__(cache_tools_list=False) + self.cleanup_called = False + + def create_streams(self): + raise ValueError("Crash!") + + async def cleanup(self): + self.cleanup_called = True + await super().cleanup() + + +@pytest.mark.asyncio +async def test_server_errors_cause_error_and_cleanup_called(): + server = CrashingClientSessionServer() + + with pytest.raises(ValueError): + await server.connect() + + assert server.cleanup_called + + +@pytest.mark.asyncio +async def test_not_calling_connect_causes_error(): + server = CrashingClientSessionServer() + + with pytest.raises(UserError): + await server.list_tools() + + with pytest.raises(UserError): + await server.call_tool("foo", {}) diff --git a/tests/test_run_step_execution.py b/tests/test_run_step_execution.py index 2d581bf61..16c62c84a 100644 --- a/tests/test_run_step_execution.py +++ b/tests/test_run_step_execution.py @@ -290,6 +290,7 @@ async def get_execute_result( processed_response = RunImpl.process_model_response( agent=agent, + all_tools=await agent.get_all_tools(), response=response, output_schema=output_schema, handoffs=handoffs, diff --git a/tests/test_run_step_processing.py b/tests/test_run_step_processing.py index 24f9e8e30..2a6634ac8 100644 --- a/tests/test_run_step_processing.py +++ b/tests/test_run_step_processing.py @@ -43,7 +43,11 @@ def test_empty_response(): ) result = RunImpl.process_model_response( - agent=agent, response=response, output_schema=None, handoffs=[] + agent=agent, + response=response, + output_schema=None, + handoffs=[], + all_tools=[], ) assert not result.handoffs assert not result.functions @@ -57,13 +61,14 @@ def test_no_tool_calls(): referenceable_id=None, ) result = RunImpl.process_model_response( - agent=agent, response=response, output_schema=None, handoffs=[] + agent=agent, response=response, output_schema=None, handoffs=[], all_tools=[] ) assert not result.handoffs assert not result.functions -def test_single_tool_call(): +@pytest.mark.asyncio +async def test_single_tool_call(): agent = Agent(name="test", tools=[get_function_tool(name="test")]) response = ModelResponse( output=[ @@ -74,7 +79,11 @@ def test_single_tool_call(): referenceable_id=None, ) result = RunImpl.process_model_response( - agent=agent, response=response, output_schema=None, handoffs=[] + agent=agent, + response=response, + output_schema=None, + handoffs=[], + all_tools=await agent.get_all_tools(), ) assert not result.handoffs assert result.functions and len(result.functions) == 1 @@ -84,7 +93,8 @@ def test_single_tool_call(): assert func.tool_call.arguments == "" -def test_missing_tool_call_raises_error(): +@pytest.mark.asyncio +async def test_missing_tool_call_raises_error(): agent = Agent(name="test", tools=[get_function_tool(name="test")]) response = ModelResponse( output=[ @@ -97,11 +107,16 @@ def test_missing_tool_call_raises_error(): with pytest.raises(ModelBehaviorError): RunImpl.process_model_response( - agent=agent, response=response, output_schema=None, handoffs=[] + agent=agent, + response=response, + output_schema=None, + handoffs=[], + all_tools=await agent.get_all_tools(), ) -def test_multiple_tool_calls(): +@pytest.mark.asyncio +async def test_multiple_tool_calls(): agent = Agent( name="test", tools=[ @@ -121,7 +136,11 @@ def test_multiple_tool_calls(): ) result = RunImpl.process_model_response( - agent=agent, response=response, output_schema=None, handoffs=[] + agent=agent, + response=response, + output_schema=None, + handoffs=[], + all_tools=await agent.get_all_tools(), ) assert not result.handoffs assert result.functions and len(result.functions) == 2 @@ -146,7 +165,11 @@ async def test_handoffs_parsed_correctly(): referenceable_id=None, ) result = RunImpl.process_model_response( - agent=agent_3, response=response, output_schema=None, handoffs=[] + agent=agent_3, + response=response, + output_schema=None, + handoffs=[], + all_tools=await agent_3.get_all_tools(), ) assert not result.handoffs, "Shouldn't have a handoff here" @@ -160,6 +183,7 @@ async def test_handoffs_parsed_correctly(): response=response, output_schema=None, handoffs=Runner._get_handoffs(agent_3), + all_tools=await agent_3.get_all_tools(), ) assert len(result.handoffs) == 1, "Should have a handoff here" handoff = result.handoffs[0] @@ -189,10 +213,12 @@ async def test_missing_handoff_fails(): response=response, output_schema=None, handoffs=Runner._get_handoffs(agent_3), + all_tools=await agent_3.get_all_tools(), ) -def test_multiple_handoffs_doesnt_error(): +@pytest.mark.asyncio +async def test_multiple_handoffs_doesnt_error(): agent_1 = Agent(name="test_1") agent_2 = Agent(name="test_2") agent_3 = Agent(name="test_3", handoffs=[agent_1, agent_2]) @@ -210,6 +236,7 @@ def test_multiple_handoffs_doesnt_error(): response=response, output_schema=None, handoffs=Runner._get_handoffs(agent_3), + all_tools=await agent_3.get_all_tools(), ) assert len(result.handoffs) == 2, "Should have multiple handoffs here" @@ -218,7 +245,8 @@ class Foo(BaseModel): bar: str -def test_final_output_parsed_correctly(): +@pytest.mark.asyncio +async def test_final_output_parsed_correctly(): agent = Agent(name="test", output_type=Foo) response = ModelResponse( output=[ @@ -234,10 +262,12 @@ def test_final_output_parsed_correctly(): response=response, output_schema=Runner._get_output_schema(agent), handoffs=[], + all_tools=await agent.get_all_tools(), ) -def test_file_search_tool_call_parsed_correctly(): +@pytest.mark.asyncio +async def test_file_search_tool_call_parsed_correctly(): # Ensure that a ResponseFileSearchToolCall output is parsed into a ToolCallItem and that no tool # runs are scheduled. @@ -254,7 +284,11 @@ def test_file_search_tool_call_parsed_correctly(): referenceable_id=None, ) result = RunImpl.process_model_response( - agent=agent, response=response, output_schema=None, handoffs=[] + agent=agent, + response=response, + output_schema=None, + handoffs=[], + all_tools=await agent.get_all_tools(), ) # The final item should be a ToolCallItem for the file search call assert any( @@ -265,7 +299,8 @@ def test_file_search_tool_call_parsed_correctly(): assert not result.handoffs -def test_function_web_search_tool_call_parsed_correctly(): +@pytest.mark.asyncio +async def test_function_web_search_tool_call_parsed_correctly(): agent = Agent(name="test") web_search_call = ResponseFunctionWebSearch(id="w1", status="completed", type="web_search_call") response = ModelResponse( @@ -274,7 +309,11 @@ def test_function_web_search_tool_call_parsed_correctly(): referenceable_id=None, ) result = RunImpl.process_model_response( - agent=agent, response=response, output_schema=None, handoffs=[] + agent=agent, + response=response, + output_schema=None, + handoffs=[], + all_tools=await agent.get_all_tools(), ) assert any( isinstance(item, ToolCallItem) and item.raw_item is web_search_call @@ -284,7 +323,8 @@ def test_function_web_search_tool_call_parsed_correctly(): assert not result.handoffs -def test_reasoning_item_parsed_correctly(): +@pytest.mark.asyncio +async def test_reasoning_item_parsed_correctly(): # Verify that a Reasoning output item is converted into a ReasoningItem. reasoning = ResponseReasoningItem( @@ -296,7 +336,11 @@ def test_reasoning_item_parsed_correctly(): referenceable_id=None, ) result = RunImpl.process_model_response( - agent=Agent(name="test"), response=response, output_schema=None, handoffs=[] + agent=Agent(name="test"), + response=response, + output_schema=None, + handoffs=[], + all_tools=await Agent(name="test").get_all_tools(), ) assert any( isinstance(item, ReasoningItem) and item.raw_item is reasoning for item in result.new_items @@ -342,7 +386,8 @@ def drag(self, path: list[tuple[int, int]]) -> None: return None # pragma: no cover -def test_computer_tool_call_without_computer_tool_raises_error(): +@pytest.mark.asyncio +async def test_computer_tool_call_without_computer_tool_raises_error(): # If the agent has no ComputerTool in its tools, process_model_response should raise a # ModelBehaviorError when encountering a ResponseComputerToolCall. computer_call = ResponseComputerToolCall( @@ -360,11 +405,16 @@ def test_computer_tool_call_without_computer_tool_raises_error(): ) with pytest.raises(ModelBehaviorError): RunImpl.process_model_response( - agent=Agent(name="test"), response=response, output_schema=None, handoffs=[] + agent=Agent(name="test"), + response=response, + output_schema=None, + handoffs=[], + all_tools=await Agent(name="test").get_all_tools(), ) -def test_computer_tool_call_with_computer_tool_parsed_correctly(): +@pytest.mark.asyncio +async def test_computer_tool_call_with_computer_tool_parsed_correctly(): # If the agent contains a ComputerTool, ensure that a ResponseComputerToolCall is parsed into a # ToolCallItem and scheduled to run in computer_actions. dummy_computer = DummyComputer() @@ -383,7 +433,11 @@ def test_computer_tool_call_with_computer_tool_parsed_correctly(): referenceable_id=None, ) result = RunImpl.process_model_response( - agent=agent, response=response, output_schema=None, handoffs=[] + agent=agent, + response=response, + output_schema=None, + handoffs=[], + all_tools=await agent.get_all_tools(), ) assert any( isinstance(item, ToolCallItem) and item.raw_item is computer_call @@ -392,7 +446,8 @@ def test_computer_tool_call_with_computer_tool_parsed_correctly(): assert result.computer_actions and result.computer_actions[0].tool_call == computer_call -def test_tool_and_handoff_parsed_correctly(): +@pytest.mark.asyncio +async def test_tool_and_handoff_parsed_correctly(): agent_1 = Agent(name="test_1") agent_2 = Agent(name="test_2") agent_3 = Agent( @@ -413,6 +468,7 @@ def test_tool_and_handoff_parsed_correctly(): response=response, output_schema=None, handoffs=Runner._get_handoffs(agent_3), + all_tools=await agent_3.get_all_tools(), ) assert result.functions and len(result.functions) == 1 assert len(result.handoffs) == 1, "Should have a handoff here" diff --git a/tests/voice/test_openai_stt.py b/tests/voice/test_openai_stt.py index 755592326..89b5cca70 100644 --- a/tests/voice/test_openai_stt.py +++ b/tests/voice/test_openai_stt.py @@ -269,7 +269,7 @@ def fake_time_func(): async for _ in turns: pass - assert "Timeout waiting for transcription_session.created event" in str(exc_info.value) + assert "Timeout waiting for transcription_session.created event" in str(exc_info.value) await session.close() @@ -302,13 +302,11 @@ async def test_session_error_event(): trace_include_sensitive_audio_data=False, ) - with pytest.raises(STTWebsocketConnectionError) as exc_info: + with pytest.raises(STTWebsocketConnectionError): turns = session.transcribe_turns() async for _ in turns: pass - assert "Simulated server error!" in str(exc_info.value) - await session.close() @@ -362,8 +360,8 @@ async def test_inactivity_timeout(): async for turn in session.transcribe_turns(): collected_turns.append(turn) - assert "Timeout waiting for transcription_session" in str(exc_info.value) + assert "Timeout waiting for transcription_session" in str(exc_info.value) - assert len(collected_turns) == 0, "No transcripts expected, but we got something?" + assert len(collected_turns) == 0, "No transcripts expected, but we got something?" await session.close() From ab606d8de7bcd199022c3a26ab8d4b8b6cfa440b Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 25 Mar 2025 12:51:40 -0400 Subject: [PATCH 028/337] [3/n] Add an MCP stdio example ### Summary: Spins up a stdio server with some local files, then asks the model questions. ### Test Plan: Run the example, see it work. --- examples/mcp/filesystem_example/README.md | 26 +++++++++ examples/mcp/filesystem_example/main.py | 54 +++++++++++++++++++ .../sample_files/favorite_books.txt | 20 +++++++ .../sample_files/favorite_cities.txt | 4 ++ .../sample_files/favorite_songs.txt | 10 ++++ 5 files changed, 114 insertions(+) create mode 100644 examples/mcp/filesystem_example/README.md create mode 100644 examples/mcp/filesystem_example/main.py create mode 100644 examples/mcp/filesystem_example/sample_files/favorite_books.txt create mode 100644 examples/mcp/filesystem_example/sample_files/favorite_cities.txt create mode 100644 examples/mcp/filesystem_example/sample_files/favorite_songs.txt diff --git a/examples/mcp/filesystem_example/README.md b/examples/mcp/filesystem_example/README.md new file mode 100644 index 000000000..682afc834 --- /dev/null +++ b/examples/mcp/filesystem_example/README.md @@ -0,0 +1,26 @@ +# MCP Filesystem Example + +This example uses the [fileystem MCP server](https://github.com/modelcontextprotocol/servers/tree/main/src/filesystem), running locally via `npx`. + +Run it via: + +``` +uv run python python examples/mcp/filesystem_example/main.py +``` + +## Details + +The example uses the `MCPServerStdio` class from `agents`, with the command: + +```bash +npx -y "@modelcontextprotocol/server-filesystem" +``` + +It's only given access to the `sample_files` directory adjacent to the example, which contains some sample data. + +Under the hood: + +1. The server is spun up in a subprocess, and exposes a bunch of tools like `list_directory()`, `read_file()`, etc. +2. We add the server instance to the Agent via `mcp_agents`. +3. Each time the agent runs, we call out to the MCP server to fetch the list of tools via `server.list_tools()`. +4. If the LLM chooses to use an MCP tool, we call the MCP server to run the tool via `server.run_tool()`. diff --git a/examples/mcp/filesystem_example/main.py b/examples/mcp/filesystem_example/main.py new file mode 100644 index 000000000..0ba2b6754 --- /dev/null +++ b/examples/mcp/filesystem_example/main.py @@ -0,0 +1,54 @@ +import asyncio +import os +import shutil + +from agents import Agent, Runner, trace +from agents.mcp import MCPServer, MCPServerStdio + + +async def run(mcp_server: MCPServer): + agent = Agent( + name="Assistant", + instructions="Use the tools to read the filesystem and answer questions based on those files.", + mcp_servers=[mcp_server], + ) + + # List the files it can read + message = "Read the files and list them." + print(f"Running: {message}") + result = await Runner.run(starting_agent=agent, input=message) + print(result.final_output) + + # Ask about books + message = "What is my #1 favorite book?" + print(f"\n\nRunning: {message}") + result = await Runner.run(starting_agent=agent, input=message) + print(result.final_output) + + # Ask a question that reads then reasons. + message = "Look at my favorite songs. Suggest one new song that I might like." + print(f"\n\nRunning: {message}") + result = await Runner.run(starting_agent=agent, input=message) + print(result.final_output) + + +async def main(): + current_dir = os.path.dirname(os.path.abspath(__file__)) + samples_dir = os.path.join(current_dir, "sample_files") + + async with MCPServerStdio( + params={ + "command": "npx", + "args": ["-y", "@modelcontextprotocol/server-filesystem", samples_dir], + } + ) as server: + with trace(workflow_name="MCP Filesystem Example"): + await run(server) + + +if __name__ == "__main__": + # Let's make sure the user has npx installed + if not shutil.which("npx"): + raise RuntimeError("npx is not installed. Please install it with `npm install -g npx`.") + + asyncio.run(main()) diff --git a/examples/mcp/filesystem_example/sample_files/favorite_books.txt b/examples/mcp/filesystem_example/sample_files/favorite_books.txt new file mode 100644 index 000000000..c55f457ec --- /dev/null +++ b/examples/mcp/filesystem_example/sample_files/favorite_books.txt @@ -0,0 +1,20 @@ +1. To Kill a Mockingbird – Harper Lee +2. Pride and Prejudice – Jane Austen +3. 1984 – George Orwell +4. The Hobbit – J.R.R. Tolkien +5. Harry Potter and the Sorcerer’s Stone – J.K. Rowling +6. The Great Gatsby – F. Scott Fitzgerald +7. Charlotte’s Web – E.B. White +8. Anne of Green Gables – Lucy Maud Montgomery +9. The Alchemist – Paulo Coelho +10. Little Women – Louisa May Alcott +11. The Catcher in the Rye – J.D. Salinger +12. Animal Farm – George Orwell +13. The Chronicles of Narnia: The Lion, the Witch, and the Wardrobe – C.S. Lewis +14. The Book Thief – Markus Zusak +15. A Wrinkle in Time – Madeleine L’Engle +16. The Secret Garden – Frances Hodgson Burnett +17. Moby-Dick – Herman Melville +18. Fahrenheit 451 – Ray Bradbury +19. Jane Eyre – Charlotte Brontë +20. The Little Prince – Antoine de Saint-Exupéry \ No newline at end of file diff --git a/examples/mcp/filesystem_example/sample_files/favorite_cities.txt b/examples/mcp/filesystem_example/sample_files/favorite_cities.txt new file mode 100644 index 000000000..1d3354f22 --- /dev/null +++ b/examples/mcp/filesystem_example/sample_files/favorite_cities.txt @@ -0,0 +1,4 @@ +- In the summer, I love visiting London. +- In the winter, Tokyo is great. +- In the spring, San Francisco. +- In the fall, New York is the best. \ No newline at end of file diff --git a/examples/mcp/filesystem_example/sample_files/favorite_songs.txt b/examples/mcp/filesystem_example/sample_files/favorite_songs.txt new file mode 100644 index 000000000..d659bb589 --- /dev/null +++ b/examples/mcp/filesystem_example/sample_files/favorite_songs.txt @@ -0,0 +1,10 @@ +1. "Here Comes the Sun" – The Beatles +2. "Imagine" – John Lennon +3. "Bohemian Rhapsody" – Queen +4. "Shake It Off" – Taylor Swift +5. "Billie Jean" – Michael Jackson +6. "Uptown Funk" – Mark Ronson ft. Bruno Mars +7. "Don’t Stop Believin’" – Journey +8. "Dancing Queen" – ABBA +9. "Happy" – Pharrell Williams +10. "Wonderwall" – Oasis From 363eb515302b4afdcef46e14e77d0b11eca5ed97 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 25 Mar 2025 12:54:57 -0400 Subject: [PATCH 029/337] [4/n] Add docs for MCP Just adding docs. - --- docs/mcp.md | 51 +++++++++++++++++++++ docs/ref/mcp/server.md | 3 ++ docs/ref/mcp/util.md | 3 ++ mkdocs.yml | 5 ++ src/agents/mcp/mcp_util.py | 94 -------------------------------------- src/agents/mcp/server.py | 16 +++---- 6 files changed, 69 insertions(+), 103 deletions(-) create mode 100644 docs/mcp.md create mode 100644 docs/ref/mcp/server.md create mode 100644 docs/ref/mcp/util.md delete mode 100644 src/agents/mcp/mcp_util.py diff --git a/docs/mcp.md b/docs/mcp.md new file mode 100644 index 000000000..7ec11c164 --- /dev/null +++ b/docs/mcp.md @@ -0,0 +1,51 @@ +# Model context protocol + +The [Model context protocol](https://modelcontextprotocol.io/introduction) (aka MCP) is a way to provide tools and context to the LLM. From the MCP docs: + +> MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, MCP provides a standardized way to connect AI models to different data sources and tools. + +The Agents SDK has support for MCP. This enables you to use a wide range of MCP servers to provide tools to your Agents. + +## MCP servers + +Currently, the MCP spec defines two kinds of servers, based on the transport mechanism they use: + +1. **stdio** servers run as a subprocess of your application. You can think of them as running "locally". +2. **HTTP over SSE** servers run remotely. You connect to them via a URL. + +You can use the [`MCPServerStdio`][agents.mcp.server.MCPServerStdio] and [`MCPServerSse`][agents.mcp.server.MCPServerSse] classes to connect to these servers. + +For example, this is how you'd use the [official MCP filesystem server](https://www.npmjs.com/package/@modelcontextprotocol/server-filesystem). + +```python +async with MCPServerStdio( + params={ + "command": "npx", + "args": ["-y", "@modelcontextprotocol/server-filesystem", samples_dir], + } +) as server: + tools = await server.list_tools() +``` + +## Using MCP servers + +MCP servers can be added to Agents. The Agents SDK will call `list_tools()` on the MCP servers each time the Agent is run. This makes the LLM aware of the MCP server's tools. When the LLM calls a tool from an MCP server, the SDK calls `call_tool()` on that server. + +```python + +agent=Agent( + name="Assistant", + instructions="Use the tools to achieve the task", + mcp_servers=[mcp_server_1, mcp_server_2] +) +``` + +## Caching + +Every time an Agent runs, it calls `list_tools()` on the MCP server. This can be a latency hit, especially if the server is a remote server. To automatically cache the list of tools, you can pass `cache_tools_list=True` to both [`MCPServerStdio`][agents.mcp.server.MCPServerStdio] and [`MCPServerSse`][agents.mcp.server.MCPServerSse]. You should only do this if you're certain the tool list will not change. + +If you want to invalidate the cache, you can call `invalidate_tools_cache()` on the servers. + +## End-to-end example + +View complete working examples at [examples/mcp](https://github.com/openai/openai-agents-python/tree/main/examples/mcp). diff --git a/docs/ref/mcp/server.md b/docs/ref/mcp/server.md new file mode 100644 index 000000000..e58efab2e --- /dev/null +++ b/docs/ref/mcp/server.md @@ -0,0 +1,3 @@ +# `MCP Servers` + +::: agents.mcp.server diff --git a/docs/ref/mcp/util.md b/docs/ref/mcp/util.md new file mode 100644 index 000000000..b3f7db25c --- /dev/null +++ b/docs/ref/mcp/util.md @@ -0,0 +1,3 @@ +# `MCP Util` + +::: agents.mcp.util diff --git a/mkdocs.yml b/mkdocs.yml index 941f29ed9..454d881a0 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -28,6 +28,7 @@ nav: - results.md - streaming.md - tools.md + - mcp.md - handoffs.md - tracing.md - context.md @@ -60,6 +61,8 @@ nav: - ref/models/interface.md - ref/models/openai_chatcompletions.md - ref/models/openai_responses.md + - ref/mcp/server.md + - ref/mcp/util.md - Tracing: - ref/tracing/index.md - ref/tracing/create.md @@ -107,6 +110,8 @@ plugins: show_signature_annotations: true # Makes the font sizes nicer heading_level: 3 + # Show inherited members + inherited_members: true extra: # Remove material generation message in footer diff --git a/src/agents/mcp/mcp_util.py b/src/agents/mcp/mcp_util.py deleted file mode 100644 index 41b4c521f..000000000 --- a/src/agents/mcp/mcp_util.py +++ /dev/null @@ -1,94 +0,0 @@ -import functools -import json -from typing import Any - -from mcp.types import Tool as MCPTool - -from .. import _debug -from ..exceptions import AgentsException, ModelBehaviorError, UserError -from ..logger import logger -from ..run_context import RunContextWrapper -from ..tool import FunctionTool, Tool -from .server import MCPServer - - -class MCPUtil: - """Set of utilities for interop between MCP and Agents SDK tools.""" - - @classmethod - async def get_all_function_tools(cls, servers: list[MCPServer]) -> list[Tool]: - """Get all function tools from a list of MCP servers.""" - tools = [] - tool_names: set[str] = set() - for server in servers: - server_tools = await cls.get_function_tools(server) - server_tool_names = {tool.name for tool in server_tools} - if len(server_tool_names & tool_names) > 0: - raise UserError( - f"Duplicate tool names found across MCP servers: " - f"{server_tool_names & tool_names}" - ) - tool_names.update(server_tool_names) - tools.extend(server_tools) - - return tools - - @classmethod - async def get_function_tools(cls, server: MCPServer) -> list[Tool]: - """Get all function tools from a single MCP server.""" - tools = await server.list_tools() - return [cls.to_function_tool(tool, server) for tool in tools] - - @classmethod - def to_function_tool(cls, tool: MCPTool, server: MCPServer) -> FunctionTool: - """Convert an MCP tool to an Agents SDK function tool.""" - invoke_func = functools.partial(cls.invoke_mcp_tool, server, tool) - return FunctionTool( - name=tool.name, - description=tool.description or "", - params_json_schema=tool.inputSchema, - on_invoke_tool=invoke_func, - strict_json_schema=False, - ) - - @classmethod - async def invoke_mcp_tool( - cls, server: MCPServer, tool: MCPTool, context: RunContextWrapper[Any], input_json: str - ) -> str: - """Invoke an MCP tool and return the result as a string.""" - try: - json_data: dict[str, Any] = json.loads(input_json) if input_json else {} - except Exception as e: - if _debug.DONT_LOG_TOOL_DATA: - logger.debug(f"Invalid JSON input for tool {tool.name}") - else: - logger.debug(f"Invalid JSON input for tool {tool.name}: {input_json}") - raise ModelBehaviorError( - f"Invalid JSON input for tool {tool.name}: {input_json}" - ) from e - - if _debug.DONT_LOG_TOOL_DATA: - logger.debug(f"Invoking MCP tool {tool.name}") - else: - logger.debug(f"Invoking MCP tool {tool.name} with input {input_json}") - - try: - result = await server.call_tool(tool.name, json_data) - except Exception as e: - logger.error(f"Error invoking MCP tool {tool.name}: {e}") - raise AgentsException(f"Error invoking MCP tool {tool.name}: {e}") from e - - if _debug.DONT_LOG_TOOL_DATA: - logger.debug(f"MCP tool {tool.name} completed.") - else: - logger.debug(f"MCP tool {tool.name} returned {result}") - - # The MCP tool result is a list of content items, whereas OpenAI tool outputs are a single - # string. We'll try to convert. - if len(result.content) == 1: - return result.content[0].model_dump_json() - elif len(result.content) > 1: - return json.dumps([item.model_dump() for item in result.content]) - else: - logger.error(f"Errored MCP tool result: {result}") - return "Error running tool." diff --git a/src/agents/mcp/server.py b/src/agents/mcp/server.py index e19e686af..91af31dbb 100644 --- a/src/agents/mcp/server.py +++ b/src/agents/mcp/server.py @@ -175,10 +175,10 @@ def __init__(self, params: MCPServerStdioParams, cache_tools_list: bool = False) """Create a new MCP server based on the stdio transport. Args: - params: The params that configure the server. This includes: - - The command (e.g. `python` or `node`) that starts the server. - - The args to pass to the server command (e.g. `foo.py` or `server.js`). - - The environment variables to set for the server. + params: The params that configure the server. This includes the command to run to + start the server, the args to pass to the command, the environment variables to + set for the server, the working directory to use when spawning the process, and + the text encoding used when sending/receiving messages to the server. cache_tools_list: Whether to cache the tools list. If `True`, the tools list will be cached and only fetched from the server once. If `False`, the tools list will be fetched from the server on each call to `list_tools()`. The cache can be @@ -235,11 +235,9 @@ def __init__(self, params: MCPServerSseParams, cache_tools_list: bool = False): """Create a new MCP server based on the HTTP with SSE transport. Args: - params: The params that configure the server. This includes: - - The URL of the server. - - The headers to send to the server. - - The timeout for the HTTP request. - - The timeout for the SSE connection. + params: The params that configure the server. This includes the URL of the server, + the headers to send to the server, the timeout for the HTTP request, and the + timeout for the SSE connection. cache_tools_list: Whether to cache the tools list. If `True`, the tools list will be cached and only fetched from the server once. If `False`, the tools list will be From 4818d4638130fb3a48ce7623bcbce105793660f5 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 25 Mar 2025 13:29:17 -0400 Subject: [PATCH 030/337] Make the reset behavior on tool use configurable ## Summary: #263 added this behavior. The goal was to prevent infinite loops when tool choice was set. The key change I'm making is: 1. Making it configurable on the agent. 2. Doing bookkeeping in the Runner to track this, to prevent mutating agents. 3. Not resetting the global tool choice in RunConfig. ## Test Plan: Unit tests. . --- docs/agents.md | 9 +- src/agents/_run_impl.py | 75 ++++++------- src/agents/agent.py | 4 + src/agents/models/openai_responses.py | 6 +- src/agents/run.py | 21 ++++ tests/fake_model.py | 10 ++ tests/test_tool_choice_reset.py | 147 +++++++++++++++++--------- 7 files changed, 174 insertions(+), 98 deletions(-) diff --git a/docs/agents.md b/docs/agents.md index 1e04f7e95..23b18b649 100644 --- a/docs/agents.md +++ b/docs/agents.md @@ -142,11 +142,6 @@ Supplying a list of tools doesn't always mean the LLM will use a tool. You can f !!! note - To prevent infinite loops, the framework automatically resets `tool_choice` to "auto" after a tool call in the following scenarios: - - 1. When `tool_choice` is set to a specific function name (any string that's not "auto", "required", or "none") - 2. When `tool_choice` is set to "required" AND there is only one tool available - - This targeted reset mechanism allows the model to decide whether to make additional tool calls in subsequent turns while avoiding infinite loops in these specific cases. - + To prevent infinite loops, the framework automatically resets `tool_choice` to "auto" after a tool call. This behavior is configurable via [`agent.reset_tool_choice`][agents.agent.Agent.reset_tool_choice]. The infinite loop is because tool results are sent to the LLM, which then generates another tool call because of `tool_choice`, ad infinitum. + If you want the Agent to completely stop after a tool call (rather than continuing with auto mode), you can set [`Agent.tool_use_behavior="stop_on_first_tool"`] which will directly use the tool output as the final response without further LLM processing. diff --git a/src/agents/_run_impl.py b/src/agents/_run_impl.py index 80b9cc6da..1e72a9e9e 100644 --- a/src/agents/_run_impl.py +++ b/src/agents/_run_impl.py @@ -4,7 +4,7 @@ import dataclasses import inspect from collections.abc import Awaitable -from dataclasses import dataclass +from dataclasses import dataclass, field from typing import TYPE_CHECKING, Any, cast from openai.types.responses import ( @@ -52,7 +52,7 @@ from .models.interface import ModelTracing from .run_context import RunContextWrapper, TContext from .stream_events import RunItemStreamEvent, StreamEvent -from .tool import ComputerTool, FunctionTool, FunctionToolResult, Tool +from .tool import ComputerTool, FunctionTool, FunctionToolResult from .tracing import ( SpanError, Trace, @@ -77,6 +77,23 @@ class QueueCompleteSentinel: _NOT_FINAL_OUTPUT = ToolsToFinalOutputResult(is_final_output=False, final_output=None) +@dataclass +class AgentToolUseTracker: + agent_to_tools: list[tuple[Agent, list[str]]] = field(default_factory=list) + """Tuple of (agent, list of tools used). Can't use a dict because agents aren't hashable.""" + + def add_tool_use(self, agent: Agent[Any], tool_names: list[str]) -> None: + existing_data = next((item for item in self.agent_to_tools if item[0] == agent), None) + if existing_data: + existing_data[1].extend(tool_names) + else: + self.agent_to_tools.append((agent, tool_names)) + + def has_used_tools(self, agent: Agent[Any]) -> bool: + existing_data = next((item for item in self.agent_to_tools if item[0] == agent), None) + return existing_data is not None and len(existing_data[1]) > 0 + + @dataclass class ToolRunHandoff: handoff: Handoff @@ -101,6 +118,7 @@ class ProcessedResponse: handoffs: list[ToolRunHandoff] functions: list[ToolRunFunction] computer_actions: list[ToolRunComputerAction] + tools_used: list[str] # Names of all tools used, including hosted tools def has_tools_to_run(self) -> bool: # Handoffs, functions and computer actions need local processing @@ -208,29 +226,6 @@ async def execute_tools_and_side_effects( new_step_items.extend([result.run_item for result in function_results]) new_step_items.extend(computer_results) - # Reset tool_choice to "auto" after tool execution to prevent infinite loops - if processed_response.functions or processed_response.computer_actions: - tools = agent.tools - - if ( - run_config.model_settings and - cls._should_reset_tool_choice(run_config.model_settings, tools) - ): - # update the run_config model settings with a copy - new_run_config_settings = dataclasses.replace( - run_config.model_settings, - tool_choice="auto" - ) - run_config = dataclasses.replace(run_config, model_settings=new_run_config_settings) - - if cls._should_reset_tool_choice(agent.model_settings, tools): - # Create a modified copy instead of modifying the original agent - new_model_settings = dataclasses.replace( - agent.model_settings, - tool_choice="auto" - ) - agent = dataclasses.replace(agent, model_settings=new_model_settings) - # Second, check if there are any handoffs if run_handoffs := processed_response.handoffs: return await cls.execute_handoffs( @@ -322,22 +317,16 @@ async def execute_tools_and_side_effects( ) @classmethod - def _should_reset_tool_choice(cls, model_settings: ModelSettings, tools: list[Tool]) -> bool: - if model_settings is None or model_settings.tool_choice is None: - return False + def maybe_reset_tool_choice( + cls, agent: Agent[Any], tool_use_tracker: AgentToolUseTracker, model_settings: ModelSettings + ) -> ModelSettings: + """Resets tool choice to None if the agent has used tools and the agent's reset_tool_choice + flag is True.""" - # for specific tool choices - if ( - isinstance(model_settings.tool_choice, str) and - model_settings.tool_choice not in ["auto", "required", "none"] - ): - return True + if agent.reset_tool_choice is True and tool_use_tracker.has_used_tools(agent): + return dataclasses.replace(model_settings, tool_choice=None) - # for one tool and required tool choice - if model_settings.tool_choice == "required": - return len(tools) == 1 - - return False + return model_settings @classmethod def process_model_response( @@ -354,7 +343,7 @@ def process_model_response( run_handoffs = [] functions = [] computer_actions = [] - + tools_used: list[str] = [] handoff_map = {handoff.tool_name: handoff for handoff in handoffs} function_map = {tool.name: tool for tool in all_tools if isinstance(tool, FunctionTool)} computer_tool = next((tool for tool in all_tools if isinstance(tool, ComputerTool)), None) @@ -364,12 +353,15 @@ def process_model_response( items.append(MessageOutputItem(raw_item=output, agent=agent)) elif isinstance(output, ResponseFileSearchToolCall): items.append(ToolCallItem(raw_item=output, agent=agent)) + tools_used.append("file_search") elif isinstance(output, ResponseFunctionWebSearch): items.append(ToolCallItem(raw_item=output, agent=agent)) + tools_used.append("web_search") elif isinstance(output, ResponseReasoningItem): items.append(ReasoningItem(raw_item=output, agent=agent)) elif isinstance(output, ResponseComputerToolCall): items.append(ToolCallItem(raw_item=output, agent=agent)) + tools_used.append("computer_use") if not computer_tool: _error_tracing.attach_error_to_current_span( SpanError( @@ -391,6 +383,8 @@ def process_model_response( if not isinstance(output, ResponseFunctionToolCall): continue + tools_used.append(output.name) + # Handoffs if output.name in handoff_map: items.append(HandoffCallItem(raw_item=output, agent=agent)) @@ -422,6 +416,7 @@ def process_model_response( handoffs=run_handoffs, functions=functions, computer_actions=computer_actions, + tools_used=tools_used, ) @classmethod diff --git a/src/agents/agent.py b/src/agents/agent.py index 3258e15a0..b31f00b13 100644 --- a/src/agents/agent.py +++ b/src/agents/agent.py @@ -155,6 +155,10 @@ class Agent(Generic[TContext]): web search, etc are always processed by the LLM. """ + reset_tool_choice: bool = True + """Whether to reset the tool choice to the default value after a tool has been called. Defaults + to True. This ensures that the agent doesn't enter an infinite loop of tool usage.""" + def clone(self, **kwargs: Any) -> Agent[TContext]: """Make a copy of the agent, with the given arguments changed. For example, you could do: ``` diff --git a/src/agents/models/openai_responses.py b/src/agents/models/openai_responses.py index b95471237..c5b591c6a 100644 --- a/src/agents/models/openai_responses.py +++ b/src/agents/models/openai_responses.py @@ -208,8 +208,10 @@ async def _fetch_response( list_input = ItemHelpers.input_to_new_input_list(input) parallel_tool_calls = ( - True if model_settings.parallel_tool_calls and tools and len(tools) > 0 - else False if model_settings.parallel_tool_calls is False + True + if model_settings.parallel_tool_calls and tools and len(tools) > 0 + else False + if model_settings.parallel_tool_calls is False else NOT_GIVEN ) diff --git a/src/agents/run.py b/src/agents/run.py index b7ac85f9c..5c21b7091 100644 --- a/src/agents/run.py +++ b/src/agents/run.py @@ -10,6 +10,7 @@ from agents.tool import Tool from ._run_impl import ( + AgentToolUseTracker, NextStepFinalOutput, NextStepHandoff, NextStepRunAgain, @@ -151,6 +152,8 @@ async def run( if run_config is None: run_config = RunConfig() + tool_use_tracker = AgentToolUseTracker() + with TraceCtxManager( workflow_name=run_config.workflow_name, trace_id=run_config.trace_id, @@ -227,6 +230,7 @@ async def run( context_wrapper=context_wrapper, run_config=run_config, should_run_agent_start_hooks=should_run_agent_start_hooks, + tool_use_tracker=tool_use_tracker, ), ) else: @@ -239,6 +243,7 @@ async def run( context_wrapper=context_wrapper, run_config=run_config, should_run_agent_start_hooks=should_run_agent_start_hooks, + tool_use_tracker=tool_use_tracker, ) should_run_agent_start_hooks = False @@ -486,6 +491,7 @@ async def _run_streamed_impl( current_agent = starting_agent current_turn = 0 should_run_agent_start_hooks = True + tool_use_tracker = AgentToolUseTracker() streamed_result._event_queue.put_nowait(AgentUpdatedStreamEvent(new_agent=current_agent)) @@ -546,6 +552,7 @@ async def _run_streamed_impl( context_wrapper, run_config, should_run_agent_start_hooks, + tool_use_tracker, ) should_run_agent_start_hooks = False @@ -613,6 +620,7 @@ async def _run_single_turn_streamed( context_wrapper: RunContextWrapper[TContext], run_config: RunConfig, should_run_agent_start_hooks: bool, + tool_use_tracker: AgentToolUseTracker, ) -> SingleStepResult: if should_run_agent_start_hooks: await asyncio.gather( @@ -635,6 +643,8 @@ async def _run_single_turn_streamed( all_tools = await cls._get_all_tools(agent) model = cls._get_model(agent, run_config) model_settings = agent.model_settings.resolve(run_config.model_settings) + model_settings = RunImpl.maybe_reset_tool_choice(agent, tool_use_tracker, model_settings) + final_response: ModelResponse | None = None input = ItemHelpers.input_to_new_input_list(streamed_result.input) @@ -687,6 +697,7 @@ async def _run_single_turn_streamed( hooks=hooks, context_wrapper=context_wrapper, run_config=run_config, + tool_use_tracker=tool_use_tracker, ) RunImpl.stream_step_result_to_queue(single_step_result, streamed_result._event_queue) @@ -704,6 +715,7 @@ async def _run_single_turn( context_wrapper: RunContextWrapper[TContext], run_config: RunConfig, should_run_agent_start_hooks: bool, + tool_use_tracker: AgentToolUseTracker, ) -> SingleStepResult: # Ensure we run the hooks before anything else if should_run_agent_start_hooks: @@ -732,6 +744,7 @@ async def _run_single_turn( handoffs, context_wrapper, run_config, + tool_use_tracker, ) return await cls._get_single_step_result_from_response( @@ -745,6 +758,7 @@ async def _run_single_turn( hooks=hooks, context_wrapper=context_wrapper, run_config=run_config, + tool_use_tracker=tool_use_tracker, ) @classmethod @@ -761,6 +775,7 @@ async def _get_single_step_result_from_response( hooks: RunHooks[TContext], context_wrapper: RunContextWrapper[TContext], run_config: RunConfig, + tool_use_tracker: AgentToolUseTracker, ) -> SingleStepResult: processed_response = RunImpl.process_model_response( agent=agent, @@ -769,6 +784,9 @@ async def _get_single_step_result_from_response( output_schema=output_schema, handoffs=handoffs, ) + + tool_use_tracker.add_tool_use(agent, processed_response.tools_used) + return await RunImpl.execute_tools_and_side_effects( agent=agent, original_input=original_input, @@ -868,9 +886,12 @@ async def _get_new_response( handoffs: list[Handoff], context_wrapper: RunContextWrapper[TContext], run_config: RunConfig, + tool_use_tracker: AgentToolUseTracker, ) -> ModelResponse: model = cls._get_model(agent, run_config) model_settings = agent.model_settings.resolve(run_config.model_settings) + model_settings = RunImpl.maybe_reset_tool_choice(agent, tool_use_tracker, model_settings) + new_response = await model.get_response( system_instructions=system_prompt, input=input, diff --git a/tests/fake_model.py b/tests/fake_model.py index f2ba62292..ecbb75832 100644 --- a/tests/fake_model.py +++ b/tests/fake_model.py @@ -1,6 +1,7 @@ from __future__ import annotations from collections.abc import AsyncIterator +from typing import Any from openai.types.responses import Response, ResponseCompletedEvent @@ -31,6 +32,7 @@ def __init__( [initial_output] if initial_output else [] ) self.tracing_enabled = tracing_enabled + self.last_turn_args: dict[str, Any] = {} def set_next_output(self, output: list[TResponseOutputItem] | Exception): self.turn_outputs.append(output) @@ -53,6 +55,14 @@ async def get_response( handoffs: list[Handoff], tracing: ModelTracing, ) -> ModelResponse: + self.last_turn_args = { + "system_instructions": system_instructions, + "input": input, + "model_settings": model_settings, + "tools": tools, + "output_schema": output_schema, + } + with generation_span(disabled=not self.tracing_enabled) as span: output = self.get_next_output() diff --git a/tests/test_tool_choice_reset.py b/tests/test_tool_choice_reset.py index 7dae6f638..f95117fd5 100644 --- a/tests/test_tool_choice_reset.py +++ b/tests/test_tool_choice_reset.py @@ -1,63 +1,78 @@ import pytest -from agents import Agent, ModelSettings, Runner, Tool -from agents._run_impl import RunImpl +from agents import Agent, ModelSettings, Runner +from agents._run_impl import AgentToolUseTracker, RunImpl from .fake_model import FakeModel -from .test_responses import ( - get_function_tool, - get_function_tool_call, - get_text_message, -) +from .test_responses import get_function_tool, get_function_tool_call, get_text_message class TestToolChoiceReset: - def test_should_reset_tool_choice_direct(self): """ Test the _should_reset_tool_choice method directly with various inputs to ensure it correctly identifies cases where reset is needed. """ - # Case 1: tool_choice = None should not reset + agent = Agent(name="test_agent") + + # Case 1: Empty tool use tracker should not change the "None" tool choice model_settings = ModelSettings(tool_choice=None) - tools1: list[Tool] = [get_function_tool("tool1")] - # Cast to list[Tool] to fix type checking issues - assert not RunImpl._should_reset_tool_choice(model_settings, tools1) + tracker = AgentToolUseTracker() + new_settings = RunImpl.maybe_reset_tool_choice(agent, tracker, model_settings) + assert new_settings.tool_choice == model_settings.tool_choice - # Case 2: tool_choice = "auto" should not reset + # Case 2: Empty tool use tracker should not change the "auto" tool choice model_settings = ModelSettings(tool_choice="auto") - assert not RunImpl._should_reset_tool_choice(model_settings, tools1) + tracker = AgentToolUseTracker() + new_settings = RunImpl.maybe_reset_tool_choice(agent, tracker, model_settings) + assert model_settings.tool_choice == new_settings.tool_choice - # Case 3: tool_choice = "none" should not reset - model_settings = ModelSettings(tool_choice="none") - assert not RunImpl._should_reset_tool_choice(model_settings, tools1) + # Case 3: Empty tool use tracker should not change the "required" tool choice + model_settings = ModelSettings(tool_choice="required") + tracker = AgentToolUseTracker() + new_settings = RunImpl.maybe_reset_tool_choice(agent, tracker, model_settings) + assert model_settings.tool_choice == new_settings.tool_choice # Case 4: tool_choice = "required" with one tool should reset model_settings = ModelSettings(tool_choice="required") - assert RunImpl._should_reset_tool_choice(model_settings, tools1) + tracker = AgentToolUseTracker() + tracker.add_tool_use(agent, ["tool1"]) + new_settings = RunImpl.maybe_reset_tool_choice(agent, tracker, model_settings) + assert new_settings.tool_choice is None - # Case 5: tool_choice = "required" with multiple tools should not reset + # Case 5: tool_choice = "required" with multiple tools should reset model_settings = ModelSettings(tool_choice="required") - tools2: list[Tool] = [get_function_tool("tool1"), get_function_tool("tool2")] - assert not RunImpl._should_reset_tool_choice(model_settings, tools2) - - # Case 6: Specific tool choice should reset - model_settings = ModelSettings(tool_choice="specific_tool") - assert RunImpl._should_reset_tool_choice(model_settings, tools1) + tracker = AgentToolUseTracker() + tracker.add_tool_use(agent, ["tool1", "tool2"]) + new_settings = RunImpl.maybe_reset_tool_choice(agent, tracker, model_settings) + assert new_settings.tool_choice is None + + # Case 6: Tool usage on a different agent should not affect the tool choice + model_settings = ModelSettings(tool_choice="foo_bar") + tracker = AgentToolUseTracker() + tracker.add_tool_use(Agent(name="other_agent"), ["foo_bar", "baz"]) + new_settings = RunImpl.maybe_reset_tool_choice(agent, tracker, model_settings) + assert new_settings.tool_choice == model_settings.tool_choice + + # Case 7: tool_choice = "foo_bar" with multiple tools should reset + model_settings = ModelSettings(tool_choice="foo_bar") + tracker = AgentToolUseTracker() + tracker.add_tool_use(agent, ["foo_bar", "baz"]) + new_settings = RunImpl.maybe_reset_tool_choice(agent, tracker, model_settings) + assert new_settings.tool_choice is None @pytest.mark.asyncio async def test_required_tool_choice_with_multiple_runs(self): """ - Test scenario 1: When multiple runs are executed with tool_choice="required" - Ensure each run works correctly and doesn't get stuck in infinite loop - Also verify that tool_choice remains "required" between runs + Test scenario 1: When multiple runs are executed with tool_choice="required", ensure each + run works correctly and doesn't get stuck in an infinite loop. Also verify that tool_choice + remains "required" between runs. """ # Set up our fake model with responses for two runs fake_model = FakeModel() - fake_model.add_multiple_turn_outputs([ - [get_text_message("First run response")], - [get_text_message("Second run response")] - ]) + fake_model.add_multiple_turn_outputs( + [[get_text_message("First run response")], [get_text_message("Second run response")]] + ) # Create agent with a custom tool and tool_choice="required" custom_tool = get_function_tool("custom_tool") @@ -71,24 +86,26 @@ async def test_required_tool_choice_with_multiple_runs(self): # First run should work correctly and preserve tool_choice result1 = await Runner.run(agent, "first run") assert result1.final_output == "First run response" - assert agent.model_settings.tool_choice == "required", "tool_choice should stay required" + assert fake_model.last_turn_args["model_settings"].tool_choice == "required", ( + "tool_choice should stay required" + ) # Second run should also work correctly with tool_choice still required result2 = await Runner.run(agent, "second run") assert result2.final_output == "Second run response" - assert agent.model_settings.tool_choice == "required", "tool_choice should stay required" + assert fake_model.last_turn_args["model_settings"].tool_choice == "required", ( + "tool_choice should stay required" + ) @pytest.mark.asyncio async def test_required_with_stop_at_tool_name(self): """ - Test scenario 2: When using required tool_choice with stop_at_tool_names behavior - Ensure it correctly stops at the specified tool + Test scenario 2: When using required tool_choice with stop_at_tool_names behavior, ensure + it correctly stops at the specified tool """ # Set up fake model to return a tool call for second_tool fake_model = FakeModel() - fake_model.set_next_output([ - get_function_tool_call("second_tool", "{}") - ]) + fake_model.set_next_output([get_function_tool_call("second_tool", "{}")]) # Create agent with two tools and tool_choice="required" and stop_at_tool behavior first_tool = get_function_tool("first_tool", return_value="first tool result") @@ -109,8 +126,8 @@ async def test_required_with_stop_at_tool_name(self): @pytest.mark.asyncio async def test_specific_tool_choice(self): """ - Test scenario 3: When using a specific tool choice name - Ensure it doesn't cause infinite loops + Test scenario 3: When using a specific tool choice name, ensure it doesn't cause infinite + loops. """ # Set up fake model to return a text message fake_model = FakeModel() @@ -135,17 +152,19 @@ async def test_specific_tool_choice(self): @pytest.mark.asyncio async def test_required_with_single_tool(self): """ - Test scenario 4: When using required tool_choice with only one tool - Ensure it doesn't cause infinite loops + Test scenario 4: When using required tool_choice with only one tool, ensure it doesn't cause + infinite loops. """ # Set up fake model to return a tool call followed by a text message fake_model = FakeModel() - fake_model.add_multiple_turn_outputs([ - # First call returns a tool call - [get_function_tool_call("custom_tool", "{}")], - # Second call returns a text message - [get_text_message("Final response")] - ]) + fake_model.add_multiple_turn_outputs( + [ + # First call returns a tool call + [get_function_tool_call("custom_tool", "{}")], + # Second call returns a text message + [get_text_message("Final response")], + ] + ) # Create agent with a single tool and tool_choice="required" custom_tool = get_function_tool("custom_tool", return_value="tool result") @@ -159,3 +178,33 @@ async def test_required_with_single_tool(self): # Run should complete without infinite loops result = await Runner.run(agent, "first run") assert result.final_output == "Final response" + + @pytest.mark.asyncio + async def test_dont_reset_tool_choice_if_not_required(self): + """ + Test scenario 5: When agent.reset_tool_choice is False, ensure tool_choice is not reset. + """ + # Set up fake model to return a tool call followed by a text message + fake_model = FakeModel() + fake_model.add_multiple_turn_outputs( + [ + # First call returns a tool call + [get_function_tool_call("custom_tool", "{}")], + # Second call returns a text message + [get_text_message("Final response")], + ] + ) + + # Create agent with a single tool and tool_choice="required" and reset_tool_choice=False + custom_tool = get_function_tool("custom_tool", return_value="tool result") + agent = Agent( + name="test_agent", + model=fake_model, + tools=[custom_tool], + model_settings=ModelSettings(tool_choice="required"), + reset_tool_choice=False, + ) + + await Runner.run(agent, "test") + + assert fake_model.last_turn_args["model_settings"].tool_choice == "required" From d248bd8d99ca6697310b55fb24a987335cafda2c Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 26 Mar 2025 10:44:00 -0400 Subject: [PATCH 031/337] v0.0.7 --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index eb0bae39e..ab1be5ed5 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "openai-agents" -version = "0.0.6" +version = "0.0.7" description = "OpenAI Agents SDK" readme = "README.md" requires-python = ">=3.9" From 031c1d8c2fdf2e9a1577047b48226e71603cf0da Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 26 Mar 2025 11:28:25 -0400 Subject: [PATCH 032/337] v0.0.7 --- pyproject.toml | 2 +- uv.lock | 4 +--- 2 files changed, 2 insertions(+), 4 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index eb0bae39e..ab1be5ed5 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "openai-agents" -version = "0.0.6" +version = "0.0.7" description = "OpenAI Agents SDK" readme = "README.md" requires-python = ">=3.9" diff --git a/uv.lock b/uv.lock index 3ee7f047f..a9e8f1e79 100644 --- a/uv.lock +++ b/uv.lock @@ -1,5 +1,4 @@ version = 1 -revision = 1 requires-python = ">=3.9" resolution-markers = [ "python_full_version >= '3.10'", @@ -1087,7 +1086,7 @@ wheels = [ [[package]] name = "openai-agents" -version = "0.0.6" +version = "0.0.7" source = { editable = "." } dependencies = [ { name = "griffe" }, @@ -1143,7 +1142,6 @@ requires-dist = [ { name = "typing-extensions", specifier = ">=4.12.2,<5" }, { name = "websockets", marker = "extra == 'voice'", specifier = ">=15.0,<16" }, ] -provides-extras = ["voice", "viz"] [package.metadata.requires-dev] dev = [ From c94ffcc8722ee7e83a45ca97ee9a57d5e3d199a0 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 26 Mar 2025 12:49:39 -0400 Subject: [PATCH 033/337] MCP example for SSE Simple example with a local SSE server. --- examples/mcp/filesystem_example/README.md | 2 +- examples/mcp/git_example/README.md | 5 +- examples/mcp/git_example/main.py | 8 +-- examples/mcp/sse_example/README.md | 13 ++++ examples/mcp/sse_example/main.py | 83 +++++++++++++++++++++++ examples/mcp/sse_example/server.py | 33 +++++++++ 6 files changed, 135 insertions(+), 9 deletions(-) create mode 100644 examples/mcp/sse_example/README.md create mode 100644 examples/mcp/sse_example/main.py create mode 100644 examples/mcp/sse_example/server.py diff --git a/examples/mcp/filesystem_example/README.md b/examples/mcp/filesystem_example/README.md index 1b6b18373..83183fb41 100644 --- a/examples/mcp/filesystem_example/README.md +++ b/examples/mcp/filesystem_example/README.md @@ -10,7 +10,7 @@ uv run python python examples/mcp/filesystem_example/main.py ## Details -The example uses the `MCPServerStdio` class from `agents`, with the command: +The example uses the `MCPServerStdio` class from `agents.mcp`, with the command: ```bash npx -y "@modelcontextprotocol/server-filesystem" diff --git a/examples/mcp/git_example/README.md b/examples/mcp/git_example/README.md index 35ff7cde3..6a809afae 100644 --- a/examples/mcp/git_example/README.md +++ b/examples/mcp/git_example/README.md @@ -10,16 +10,17 @@ uv run python examples/mcp/git_example/main.py ## Details -The example uses the `MCPServerStdio` class from `agents`, with the command: +The example uses the `MCPServerStdio` class from `agents.mcp`, with the command: ```bash uvx mcp-server-git ``` + Prior to running the agent, the user is prompted to provide a local directory path to their git repo. Using that, the Agent can invoke Git MCP tools like `git_log` to inspect the git commit log. Under the hood: 1. The server is spun up in a subprocess, and exposes a bunch of tools like `git_log()` 2. We add the server instance to the Agent via `mcp_agents`. -3. Each time the agent runs, we call out to the MCP server to fetch the list of tools via `server.list_tools()`. The result is cached. +3. Each time the agent runs, we call out to the MCP server to fetch the list of tools via `server.list_tools()`. The result is cached. 4. If the LLM chooses to use an MCP tool, we call the MCP server to run the tool via `server.run_tool()`. diff --git a/examples/mcp/git_example/main.py b/examples/mcp/git_example/main.py index cfc15108a..ab229e855 100644 --- a/examples/mcp/git_example/main.py +++ b/examples/mcp/git_example/main.py @@ -30,12 +30,8 @@ async def main(): directory_path = input("Please enter the path to the git repository: ") async with MCPServerStdio( - params={ - "command": "uvx", - "args": [ - "mcp-server-git" - ] - } + cache_tools_list=True, # Cache the tools list, for demonstration + params={"command": "uvx", "args": ["mcp-server-git"]}, ) as server: with trace(workflow_name="MCP Git Example"): await run(server, directory_path) diff --git a/examples/mcp/sse_example/README.md b/examples/mcp/sse_example/README.md new file mode 100644 index 000000000..605c2cc92 --- /dev/null +++ b/examples/mcp/sse_example/README.md @@ -0,0 +1,13 @@ +# MCP SSE Example + +This example uses a local SSE server in [server.py](server.py). + +Run the example via: + +``` +uv run python python examples/mcp/sse_example/main.py +``` + +## Details + +The example uses the `MCPServerSse` class from `agents.mcp`. The server runs in a sub-process at `https://localhost:8000/sse`. diff --git a/examples/mcp/sse_example/main.py b/examples/mcp/sse_example/main.py new file mode 100644 index 000000000..024b087e8 --- /dev/null +++ b/examples/mcp/sse_example/main.py @@ -0,0 +1,83 @@ +import asyncio +import os +import shutil +import subprocess +import time +from typing import Any + +from agents import Agent, Runner, gen_trace_id, trace +from agents.mcp import MCPServer, MCPServerSse +from agents.model_settings import ModelSettings + + +async def run(mcp_server: MCPServer): + agent = Agent( + name="Assistant", + instructions="Use the tools to answer the questions.", + mcp_servers=[mcp_server], + model_settings=ModelSettings(tool_choice="required"), + ) + + # Use the `add` tool to add two numbers + message = "Add these numbers: 7 and 22." + print(f"Running: {message}") + result = await Runner.run(starting_agent=agent, input=message) + print(result.final_output) + + # Run the `get_weather` tool + message = "What's the weather in Tokyo?" + print(f"\n\nRunning: {message}") + result = await Runner.run(starting_agent=agent, input=message) + print(result.final_output) + + # Run the `get_secret_word` tool + message = "What's the secret word?" + print(f"\n\nRunning: {message}") + result = await Runner.run(starting_agent=agent, input=message) + print(result.final_output) + + +async def main(): + async with MCPServerSse( + name="SSE Python Server", + params={ + "url": "http://localhost:8000/sse", + }, + ) as server: + trace_id = gen_trace_id() + with trace(workflow_name="SSE Example", trace_id=trace_id): + print(f"View trace: https://platform.openai.com/traces/{trace_id}\n") + await run(server) + + +if __name__ == "__main__": + # Let's make sure the user has uv installed + if not shutil.which("uv"): + raise RuntimeError( + "uv is not installed. Please install it: https://docs.astral.sh/uv/getting-started/installation/" + ) + + # We'll run the SSE server in a subprocess. Usually this would be a remote server, but for this + # demo, we'll run it locally at http://localhost:8000/sse + process: subprocess.Popen[Any] | None = None + try: + this_dir = os.path.dirname(os.path.abspath(__file__)) + server_file = os.path.join(this_dir, "server.py") + + print("Starting SSE server at http://localhost:8000/sse ...") + + # Run `uv run server.py` to start the SSE server + process = subprocess.Popen(["uv", "run", server_file]) + # Give it 3 seconds to start + time.sleep(3) + + print("SSE server started. Running example...\n\n") + except Exception as e: + print(f"Error starting SSE server: {e}") + exit(1) + + try: + asyncio.run(main()) + finally: + if process: + process.terminate() diff --git a/examples/mcp/sse_example/server.py b/examples/mcp/sse_example/server.py new file mode 100644 index 000000000..df364aa3a --- /dev/null +++ b/examples/mcp/sse_example/server.py @@ -0,0 +1,33 @@ +import random + +import requests +from mcp.server.fastmcp import FastMCP + +# Create server +mcp = FastMCP("Echo Server") + + +@mcp.tool() +def add(a: int, b: int) -> int: + """Add two numbers""" + print(f"[debug-server] add({a}, {b})") + return a + b + + +@mcp.tool() +def get_secret_word() -> str: + print("[debug-server] get_secret_word()") + return random.choice(["apple", "banana", "cherry"]) + + +@mcp.tool() +def get_current_weather(city: str) -> str: + print(f"[debug-server] get_current_weather({city})") + + endpoint = "https://wttr.in" + response = requests.get(f"{endpoint}/{city}") + return response.text + + +if __name__ == "__main__": + mcp.run(transport="sse") From e40893f827b253cc51d2bdce2ebea50b2d356f2c Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 26 Mar 2025 13:49:15 -0400 Subject: [PATCH 034/337] Tracing screenshot for MCP docs --- docs/assets/images/mcp-tracing.jpg | Bin 0 -> 407851 bytes docs/mcp.md | 13 +++++++++++-- 2 files changed, 11 insertions(+), 2 deletions(-) create mode 100644 docs/assets/images/mcp-tracing.jpg diff --git a/docs/assets/images/mcp-tracing.jpg b/docs/assets/images/mcp-tracing.jpg new file mode 100644 index 0000000000000000000000000000000000000000..cefeb66b91891a569c44a49db65f425204d2e386 GIT binary patch literal 407851 zcmeFZcT`hd*Dtz55_<2|AYFB?u@gLPUCz zNLNr1kggEAQWHvurk$WVf>bN-o z0j1-Ta|;UcW8wt>|A4R%dyB);XPjN6S-yk434nil03|o~&>+*3Cy)Q`^-^uG&f zcRU`Xv(U;nQEk0?G5&ro+z%O}Cs7d=AV{Xx10)F|K{6aw-L1!+JwA}r_^JqFT( zAs~Ywz50vx`c3~*Hz0WNFIw<-n^X2?pn{dao5|_s7UBf}oLXSL^c8n6upiD-AblXf 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Date: Wed, 26 Mar 2025 15:05:49 -0400 Subject: [PATCH 035/337] Raise error on more invalid function schemas Towards #345 ## Summary: Using a `dict` or `Mapping` isn't strict-mode compliant. But we were checking for the literal `True` whereas the value can also be an array, for example. Fix that. ## Test Plan: Unit tests --- src/agents/strict_schema.py | 2 +- tests/test_function_schema.py | 11 +++++++++++ 2 files changed, 12 insertions(+), 1 deletion(-) diff --git a/src/agents/strict_schema.py b/src/agents/strict_schema.py index 910ad85fa..3f37660a0 100644 --- a/src/agents/strict_schema.py +++ b/src/agents/strict_schema.py @@ -54,7 +54,7 @@ def _ensure_strict_json_schema( elif ( typ == "object" and "additionalProperties" in json_schema - and json_schema["additionalProperties"] is True + and json_schema["additionalProperties"] ): raise UserError( "additionalProperties should not be set for object types. This could be because " diff --git a/tests/test_function_schema.py b/tests/test_function_schema.py index 2407ab03b..faf623c1b 100644 --- a/tests/test_function_schema.py +++ b/tests/test_function_schema.py @@ -1,3 +1,4 @@ +from collections.abc import Mapping from enum import Enum from typing import Any, Literal @@ -428,3 +429,13 @@ def func(**kwargs: dict[str, int]): assert properties.get("kwargs").get("type") == "object" # The values in the dict are integers. assert properties.get("kwargs").get("additionalProperties").get("type") == "integer" + + +def test_schema_with_mapping_raises_strict_mode_error(): + """A mapping type is not allowed in strict mode. Same for dicts. Ensure we raise a UserError.""" + + def func_with_mapping(test_one: Mapping[str, int]) -> str: + return "foo" + + with pytest.raises(UserError): + function_schema(func_with_mapping) From 886bdcd7c3a881fd05b25d7bd2d262a19c18cf02 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 26 Mar 2025 15:05:49 -0400 Subject: [PATCH 036/337] Raise error on more invalid function schemas Towards #345 ## Summary: Using a `dict` or `Mapping` isn't strict-mode compliant. But we were checking for the literal `True` whereas the value can also be an array, for example. Fix that. ## Test Plan: Unit tests --- src/agents/strict_schema.py | 2 +- tests/test_function_schema.py | 13 ++++++++++++- 2 files changed, 13 insertions(+), 2 deletions(-) diff --git a/src/agents/strict_schema.py b/src/agents/strict_schema.py index 910ad85fa..3f37660a0 100644 --- a/src/agents/strict_schema.py +++ b/src/agents/strict_schema.py @@ -54,7 +54,7 @@ def _ensure_strict_json_schema( elif ( typ == "object" and "additionalProperties" in json_schema - and json_schema["additionalProperties"] is True + and json_schema["additionalProperties"] ): raise UserError( "additionalProperties should not be set for object types. This could be because " diff --git a/tests/test_function_schema.py b/tests/test_function_schema.py index 2407ab03b..ef1e9c222 100644 --- a/tests/test_function_schema.py +++ b/tests/test_function_schema.py @@ -1,3 +1,4 @@ +from collections.abc import Mapping from enum import Enum from typing import Any, Literal @@ -421,10 +422,20 @@ def test_var_keyword_dict_annotation(): def func(**kwargs: dict[str, int]): return kwargs - fs = function_schema(func, use_docstring_info=False) + fs = function_schema(func, use_docstring_info=False, strict_json_schema=False) properties = fs.params_json_schema.get("properties", {}) # The name of the field is "kwargs", and it's a JSON object i.e. a dict. assert properties.get("kwargs").get("type") == "object" # The values in the dict are integers. assert properties.get("kwargs").get("additionalProperties").get("type") == "integer" + + +def test_schema_with_mapping_raises_strict_mode_error(): + """A mapping type is not allowed in strict mode. Same for dicts. Ensure we raise a UserError.""" + + def func_with_mapping(test_one: Mapping[str, int]) -> str: + return "foo" + + with pytest.raises(UserError): + function_schema(func_with_mapping) From 8d87cb3fa1376a343df933300a03b43a59a84aa2 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 1 Apr 2025 14:38:52 -0400 Subject: [PATCH 037/337] Convert MCP schemas to strict where possible ## Summary: Towards #404. I made this configurable because it's not clear this is always a good thing to do. I also made it default to False because I'm not sure if this could cause errors. If it works out well, we can switch the default in the future as a small breaking changes ## Test Plan: Unit tests --- src/agents/agent.py | 17 +++- src/agents/mcp/util.py | 30 +++++-- tests/mcp/test_mcp_util.py | 162 ++++++++++++++++++++++++++++++++++++- 3 files changed, 196 insertions(+), 13 deletions(-) diff --git a/src/agents/agent.py b/src/agents/agent.py index b2b9f7b28..4c6de2454 100644 --- a/src/agents/agent.py +++ b/src/agents/agent.py @@ -6,7 +6,7 @@ from dataclasses import dataclass, field from typing import TYPE_CHECKING, Any, Callable, Generic, Literal, cast -from typing_extensions import TypeAlias, TypedDict +from typing_extensions import NotRequired, TypeAlias, TypedDict from .guardrail import InputGuardrail, OutputGuardrail from .handoffs import Handoff @@ -53,6 +53,15 @@ class StopAtTools(TypedDict): """A list of tool names, any of which will stop the agent from running further.""" +class MCPConfig(TypedDict): + """Configuration for MCP servers.""" + + convert_schemas_to_strict: NotRequired[bool] + """If True, we will attempt to convert the MCP schemas to strict-mode schemas. This is a + best-effort conversion, so some schemas may not be convertible. Defaults to False. + """ + + @dataclass class Agent(Generic[TContext]): """An agent is an AI model configured with instructions, tools, guardrails, handoffs and more. @@ -119,6 +128,9 @@ class Agent(Generic[TContext]): longer needed. """ + mcp_config: MCPConfig = field(default_factory=lambda: MCPConfig()) + """Configuration for MCP servers.""" + input_guardrails: list[InputGuardrail[TContext]] = field(default_factory=list) """A list of checks that run in parallel to the agent's execution, before generating a response. Runs only if the agent is the first agent in the chain. @@ -224,7 +236,8 @@ async def get_system_prompt(self, run_context: RunContextWrapper[TContext]) -> s async def get_mcp_tools(self) -> list[Tool]: """Fetches the available tools from the MCP servers.""" - return await MCPUtil.get_all_function_tools(self.mcp_servers) + convert_schemas_to_strict = self.mcp_config.get("convert_schemas_to_strict", False) + return await MCPUtil.get_all_function_tools(self.mcp_servers, convert_schemas_to_strict) async def get_all_tools(self) -> list[Tool]: """All agent tools, including MCP tools and function tools.""" diff --git a/src/agents/mcp/util.py b/src/agents/mcp/util.py index 36c18beac..770ae8dd4 100644 --- a/src/agents/mcp/util.py +++ b/src/agents/mcp/util.py @@ -2,6 +2,8 @@ import json from typing import TYPE_CHECKING, Any +from agents.strict_schema import ensure_strict_json_schema + from .. import _debug from ..exceptions import AgentsException, ModelBehaviorError, UserError from ..logger import logger @@ -19,12 +21,14 @@ class MCPUtil: """Set of utilities for interop between MCP and Agents SDK tools.""" @classmethod - async def get_all_function_tools(cls, servers: list["MCPServer"]) -> list[Tool]: + async def get_all_function_tools( + cls, servers: list["MCPServer"], convert_schemas_to_strict: bool + ) -> list[Tool]: """Get all function tools from a list of MCP servers.""" tools = [] tool_names: set[str] = set() for server in servers: - server_tools = await cls.get_function_tools(server) + server_tools = await cls.get_function_tools(server, convert_schemas_to_strict) server_tool_names = {tool.name for tool in server_tools} if len(server_tool_names & tool_names) > 0: raise UserError( @@ -37,25 +41,37 @@ async def get_all_function_tools(cls, servers: list["MCPServer"]) -> list[Tool]: return tools @classmethod - async def get_function_tools(cls, server: "MCPServer") -> list[Tool]: + async def get_function_tools( + cls, server: "MCPServer", convert_schemas_to_strict: bool + ) -> list[Tool]: """Get all function tools from a single MCP server.""" with mcp_tools_span(server=server.name) as span: tools = await server.list_tools() span.span_data.result = [tool.name for tool in tools] - return [cls.to_function_tool(tool, server) for tool in tools] + return [cls.to_function_tool(tool, server, convert_schemas_to_strict) for tool in tools] @classmethod - def to_function_tool(cls, tool: "MCPTool", server: "MCPServer") -> FunctionTool: + def to_function_tool( + cls, tool: "MCPTool", server: "MCPServer", convert_schemas_to_strict: bool + ) -> FunctionTool: """Convert an MCP tool to an Agents SDK function tool.""" invoke_func = functools.partial(cls.invoke_mcp_tool, server, tool) + schema, is_strict = tool.inputSchema, False + if convert_schemas_to_strict: + try: + schema = ensure_strict_json_schema(schema) + is_strict = True + except Exception as e: + logger.info(f"Error converting MCP schema to strict mode: {e}") + return FunctionTool( name=tool.name, description=tool.description or "", - params_json_schema=tool.inputSchema, + params_json_schema=schema, on_invoke_tool=invoke_func, - strict_json_schema=False, + strict_json_schema=is_strict, ) @classmethod diff --git a/tests/mcp/test_mcp_util.py b/tests/mcp/test_mcp_util.py index 345df9962..155a4b4b9 100644 --- a/tests/mcp/test_mcp_util.py +++ b/tests/mcp/test_mcp_util.py @@ -1,11 +1,13 @@ +import json import logging from typing import Any import pytest +from inline_snapshot import snapshot from mcp.types import Tool as MCPTool -from pydantic import BaseModel +from pydantic import BaseModel, TypeAdapter -from agents import FunctionTool, RunContextWrapper +from agents import Agent, FunctionTool, RunContextWrapper from agents.exceptions import AgentsException, ModelBehaviorError from agents.mcp import MCPServer, MCPUtil @@ -18,7 +20,16 @@ class Foo(BaseModel): class Bar(BaseModel): - qux: str + qux: dict[str, str] + + +Baz = TypeAdapter(dict[str, str]) + + +def _convertible_schema() -> dict[str, Any]: + schema = Foo.model_json_schema() + schema["additionalProperties"] = False + return schema @pytest.mark.asyncio @@ -47,7 +58,7 @@ async def test_get_all_function_tools(): server3.add_tool(names[4], schemas[4]) servers: list[MCPServer] = [server1, server2, server3] - tools = await MCPUtil.get_all_function_tools(servers) + tools = await MCPUtil.get_all_function_tools(servers, convert_schemas_to_strict=False) assert len(tools) == 5 assert all(tool.name in names for tool in tools) @@ -56,6 +67,11 @@ async def test_get_all_function_tools(): assert tool.params_json_schema == schemas[idx] assert tool.name == names[idx] + # Also make sure it works with strict schemas + tools = await MCPUtil.get_all_function_tools(servers, convert_schemas_to_strict=True) + assert len(tools) == 5 + assert all(tool.name in names for tool in tools) + @pytest.mark.asyncio async def test_invoke_mcp_tool(): @@ -107,3 +123,141 @@ async def test_mcp_invocation_crash_causes_error(caplog: pytest.LogCaptureFixtur await MCPUtil.invoke_mcp_tool(server, tool, ctx, "") assert "Error invoking MCP tool test_tool_1" in caplog.text + + +@pytest.mark.asyncio +async def test_agent_convert_schemas_true(): + """Test that setting convert_schemas_to_strict to True converts non-strict schemas to strict. + - 'foo' tool is already strict and remains strict. + - 'bar' tool is non-strict and becomes strict (additionalProperties set to False, etc). + """ + strict_schema = Foo.model_json_schema() + non_strict_schema = Baz.json_schema() + possible_to_convert_schema = _convertible_schema() + + server = FakeMCPServer() + server.add_tool("foo", strict_schema) + server.add_tool("bar", non_strict_schema) + server.add_tool("baz", possible_to_convert_schema) + agent = Agent( + name="test_agent", mcp_servers=[server], mcp_config={"convert_schemas_to_strict": True} + ) + tools = await agent.get_mcp_tools() + + foo_tool = next(tool for tool in tools if tool.name == "foo") + assert isinstance(foo_tool, FunctionTool) + bar_tool = next(tool for tool in tools if tool.name == "bar") + assert isinstance(bar_tool, FunctionTool) + baz_tool = next(tool for tool in tools if tool.name == "baz") + assert isinstance(baz_tool, FunctionTool) + + # Checks that additionalProperties is set to False + assert foo_tool.params_json_schema == snapshot( + { + "properties": { + "bar": {"title": "Bar", "type": "string"}, + "baz": {"title": "Baz", "type": "integer"}, + }, + "required": ["bar", "baz"], + "title": "Foo", + "type": "object", + "additionalProperties": False, + } + ) + assert foo_tool.strict_json_schema is True, "foo_tool should be strict" + + # Checks that additionalProperties is set to False + assert bar_tool.params_json_schema == snapshot( + { + "type": "object", + "additionalProperties": {"type": "string"}, + } + ) + assert bar_tool.strict_json_schema is False, "bar_tool should not be strict" + + # Checks that additionalProperties is set to False + assert baz_tool.params_json_schema == snapshot( + { + "properties": { + "bar": {"title": "Bar", "type": "string"}, + "baz": {"title": "Baz", "type": "integer"}, + }, + "required": ["bar", "baz"], + "title": "Foo", + "type": "object", + "additionalProperties": False, + } + ) + assert baz_tool.strict_json_schema is True, "baz_tool should be strict" + + +@pytest.mark.asyncio +async def test_agent_convert_schemas_false(): + """Test that setting convert_schemas_to_strict to False leaves tool schemas as non-strict. + - 'foo' tool remains strict. + - 'bar' tool remains non-strict (additionalProperties remains True). + """ + strict_schema = Foo.model_json_schema() + non_strict_schema = Baz.json_schema() + possible_to_convert_schema = _convertible_schema() + + server = FakeMCPServer() + server.add_tool("foo", strict_schema) + server.add_tool("bar", non_strict_schema) + server.add_tool("baz", possible_to_convert_schema) + + agent = Agent( + name="test_agent", mcp_servers=[server], mcp_config={"convert_schemas_to_strict": False} + ) + tools = await agent.get_mcp_tools() + + foo_tool = next(tool for tool in tools if tool.name == "foo") + assert isinstance(foo_tool, FunctionTool) + bar_tool = next(tool for tool in tools if tool.name == "bar") + assert isinstance(bar_tool, FunctionTool) + baz_tool = next(tool for tool in tools if tool.name == "baz") + assert isinstance(baz_tool, FunctionTool) + + assert foo_tool.params_json_schema == strict_schema + assert foo_tool.strict_json_schema is False, "Shouldn't be converted unless specified" + + assert bar_tool.params_json_schema == non_strict_schema + assert bar_tool.strict_json_schema is False + + assert baz_tool.params_json_schema == possible_to_convert_schema + assert baz_tool.strict_json_schema is False, "Shouldn't be converted unless specified" + + +@pytest.mark.asyncio +async def test_agent_convert_schemas_unset(): + """Test that leaving convert_schemas_to_strict unset (defaulting to False) leaves tool schemas + as non-strict. + - 'foo' tool remains strict. + - 'bar' tool remains non-strict. + """ + strict_schema = Foo.model_json_schema() + non_strict_schema = Baz.json_schema() + possible_to_convert_schema = _convertible_schema() + + server = FakeMCPServer() + server.add_tool("foo", strict_schema) + server.add_tool("bar", non_strict_schema) + server.add_tool("baz", possible_to_convert_schema) + agent = Agent(name="test_agent", mcp_servers=[server]) + tools = await agent.get_mcp_tools() + + foo_tool = next(tool for tool in tools if tool.name == "foo") + assert isinstance(foo_tool, FunctionTool) + bar_tool = next(tool for tool in tools if tool.name == "bar") + assert isinstance(bar_tool, FunctionTool) + baz_tool = next(tool for tool in tools if tool.name == "baz") + assert isinstance(baz_tool, FunctionTool) + + assert foo_tool.params_json_schema == strict_schema + assert foo_tool.strict_json_schema is False, "Shouldn't be converted unless specified" + + assert bar_tool.params_json_schema == non_strict_schema + assert bar_tool.strict_json_schema is False + + assert baz_tool.params_json_schema == possible_to_convert_schema + assert baz_tool.strict_json_schema is False, "Shouldn't be converted unless specified" From 3ba0f3e58e4d571fb6f23c53bb241474dad33218 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 1 Apr 2025 14:38:52 -0400 Subject: [PATCH 038/337] Convert MCP schemas to strict where possible ## Summary: Towards #404. I made this configurable because it's not clear this is always a good thing to do. I also made it default to False because I'm not sure if this could cause errors. If it works out well, we can switch the default in the future as a small breaking changes ## Test Plan: Unit tests --- src/agents/agent.py | 17 +++- src/agents/mcp/util.py | 30 +++++-- tests/mcp/test_mcp_util.py | 161 ++++++++++++++++++++++++++++++++++- tests/test_agent_runner.py | 4 +- tests/test_tracing_errors.py | 14 ++- 5 files changed, 202 insertions(+), 24 deletions(-) diff --git a/src/agents/agent.py b/src/agents/agent.py index b2b9f7b28..4c6de2454 100644 --- a/src/agents/agent.py +++ b/src/agents/agent.py @@ -6,7 +6,7 @@ from dataclasses import dataclass, field from typing import TYPE_CHECKING, Any, Callable, Generic, Literal, cast -from typing_extensions import TypeAlias, TypedDict +from typing_extensions import NotRequired, TypeAlias, TypedDict from .guardrail import InputGuardrail, OutputGuardrail from .handoffs import Handoff @@ -53,6 +53,15 @@ class StopAtTools(TypedDict): """A list of tool names, any of which will stop the agent from running further.""" +class MCPConfig(TypedDict): + """Configuration for MCP servers.""" + + convert_schemas_to_strict: NotRequired[bool] + """If True, we will attempt to convert the MCP schemas to strict-mode schemas. This is a + best-effort conversion, so some schemas may not be convertible. Defaults to False. + """ + + @dataclass class Agent(Generic[TContext]): """An agent is an AI model configured with instructions, tools, guardrails, handoffs and more. @@ -119,6 +128,9 @@ class Agent(Generic[TContext]): longer needed. """ + mcp_config: MCPConfig = field(default_factory=lambda: MCPConfig()) + """Configuration for MCP servers.""" + input_guardrails: list[InputGuardrail[TContext]] = field(default_factory=list) """A list of checks that run in parallel to the agent's execution, before generating a response. Runs only if the agent is the first agent in the chain. @@ -224,7 +236,8 @@ async def get_system_prompt(self, run_context: RunContextWrapper[TContext]) -> s async def get_mcp_tools(self) -> list[Tool]: """Fetches the available tools from the MCP servers.""" - return await MCPUtil.get_all_function_tools(self.mcp_servers) + convert_schemas_to_strict = self.mcp_config.get("convert_schemas_to_strict", False) + return await MCPUtil.get_all_function_tools(self.mcp_servers, convert_schemas_to_strict) async def get_all_tools(self) -> list[Tool]: """All agent tools, including MCP tools and function tools.""" diff --git a/src/agents/mcp/util.py b/src/agents/mcp/util.py index 36c18beac..770ae8dd4 100644 --- a/src/agents/mcp/util.py +++ b/src/agents/mcp/util.py @@ -2,6 +2,8 @@ import json from typing import TYPE_CHECKING, Any +from agents.strict_schema import ensure_strict_json_schema + from .. import _debug from ..exceptions import AgentsException, ModelBehaviorError, UserError from ..logger import logger @@ -19,12 +21,14 @@ class MCPUtil: """Set of utilities for interop between MCP and Agents SDK tools.""" @classmethod - async def get_all_function_tools(cls, servers: list["MCPServer"]) -> list[Tool]: + async def get_all_function_tools( + cls, servers: list["MCPServer"], convert_schemas_to_strict: bool + ) -> list[Tool]: """Get all function tools from a list of MCP servers.""" tools = [] tool_names: set[str] = set() for server in servers: - server_tools = await cls.get_function_tools(server) + server_tools = await cls.get_function_tools(server, convert_schemas_to_strict) server_tool_names = {tool.name for tool in server_tools} if len(server_tool_names & tool_names) > 0: raise UserError( @@ -37,25 +41,37 @@ async def get_all_function_tools(cls, servers: list["MCPServer"]) -> list[Tool]: return tools @classmethod - async def get_function_tools(cls, server: "MCPServer") -> list[Tool]: + async def get_function_tools( + cls, server: "MCPServer", convert_schemas_to_strict: bool + ) -> list[Tool]: """Get all function tools from a single MCP server.""" with mcp_tools_span(server=server.name) as span: tools = await server.list_tools() span.span_data.result = [tool.name for tool in tools] - return [cls.to_function_tool(tool, server) for tool in tools] + return [cls.to_function_tool(tool, server, convert_schemas_to_strict) for tool in tools] @classmethod - def to_function_tool(cls, tool: "MCPTool", server: "MCPServer") -> FunctionTool: + def to_function_tool( + cls, tool: "MCPTool", server: "MCPServer", convert_schemas_to_strict: bool + ) -> FunctionTool: """Convert an MCP tool to an Agents SDK function tool.""" invoke_func = functools.partial(cls.invoke_mcp_tool, server, tool) + schema, is_strict = tool.inputSchema, False + if convert_schemas_to_strict: + try: + schema = ensure_strict_json_schema(schema) + is_strict = True + except Exception as e: + logger.info(f"Error converting MCP schema to strict mode: {e}") + return FunctionTool( name=tool.name, description=tool.description or "", - params_json_schema=tool.inputSchema, + params_json_schema=schema, on_invoke_tool=invoke_func, - strict_json_schema=False, + strict_json_schema=is_strict, ) @classmethod diff --git a/tests/mcp/test_mcp_util.py b/tests/mcp/test_mcp_util.py index 345df9962..64378b59e 100644 --- a/tests/mcp/test_mcp_util.py +++ b/tests/mcp/test_mcp_util.py @@ -2,10 +2,11 @@ from typing import Any import pytest +from inline_snapshot import snapshot from mcp.types import Tool as MCPTool -from pydantic import BaseModel +from pydantic import BaseModel, TypeAdapter -from agents import FunctionTool, RunContextWrapper +from agents import Agent, FunctionTool, RunContextWrapper from agents.exceptions import AgentsException, ModelBehaviorError from agents.mcp import MCPServer, MCPUtil @@ -18,7 +19,16 @@ class Foo(BaseModel): class Bar(BaseModel): - qux: str + qux: dict[str, str] + + +Baz = TypeAdapter(dict[str, str]) + + +def _convertible_schema() -> dict[str, Any]: + schema = Foo.model_json_schema() + schema["additionalProperties"] = False + return schema @pytest.mark.asyncio @@ -47,7 +57,7 @@ async def test_get_all_function_tools(): server3.add_tool(names[4], schemas[4]) servers: list[MCPServer] = [server1, server2, server3] - tools = await MCPUtil.get_all_function_tools(servers) + tools = await MCPUtil.get_all_function_tools(servers, convert_schemas_to_strict=False) assert len(tools) == 5 assert all(tool.name in names for tool in tools) @@ -56,6 +66,11 @@ async def test_get_all_function_tools(): assert tool.params_json_schema == schemas[idx] assert tool.name == names[idx] + # Also make sure it works with strict schemas + tools = await MCPUtil.get_all_function_tools(servers, convert_schemas_to_strict=True) + assert len(tools) == 5 + assert all(tool.name in names for tool in tools) + @pytest.mark.asyncio async def test_invoke_mcp_tool(): @@ -107,3 +122,141 @@ async def test_mcp_invocation_crash_causes_error(caplog: pytest.LogCaptureFixtur await MCPUtil.invoke_mcp_tool(server, tool, ctx, "") assert "Error invoking MCP tool test_tool_1" in caplog.text + + +@pytest.mark.asyncio +async def test_agent_convert_schemas_true(): + """Test that setting convert_schemas_to_strict to True converts non-strict schemas to strict. + - 'foo' tool is already strict and remains strict. + - 'bar' tool is non-strict and becomes strict (additionalProperties set to False, etc). + """ + strict_schema = Foo.model_json_schema() + non_strict_schema = Baz.json_schema() + possible_to_convert_schema = _convertible_schema() + + server = FakeMCPServer() + server.add_tool("foo", strict_schema) + server.add_tool("bar", non_strict_schema) + server.add_tool("baz", possible_to_convert_schema) + agent = Agent( + name="test_agent", mcp_servers=[server], mcp_config={"convert_schemas_to_strict": True} + ) + tools = await agent.get_mcp_tools() + + foo_tool = next(tool for tool in tools if tool.name == "foo") + assert isinstance(foo_tool, FunctionTool) + bar_tool = next(tool for tool in tools if tool.name == "bar") + assert isinstance(bar_tool, FunctionTool) + baz_tool = next(tool for tool in tools if tool.name == "baz") + assert isinstance(baz_tool, FunctionTool) + + # Checks that additionalProperties is set to False + assert foo_tool.params_json_schema == snapshot( + { + "properties": { + "bar": {"title": "Bar", "type": "string"}, + "baz": {"title": "Baz", "type": "integer"}, + }, + "required": ["bar", "baz"], + "title": "Foo", + "type": "object", + "additionalProperties": False, + } + ) + assert foo_tool.strict_json_schema is True, "foo_tool should be strict" + + # Checks that additionalProperties is set to False + assert bar_tool.params_json_schema == snapshot( + { + "type": "object", + "additionalProperties": {"type": "string"}, + } + ) + assert bar_tool.strict_json_schema is False, "bar_tool should not be strict" + + # Checks that additionalProperties is set to False + assert baz_tool.params_json_schema == snapshot( + { + "properties": { + "bar": {"title": "Bar", "type": "string"}, + "baz": {"title": "Baz", "type": "integer"}, + }, + "required": ["bar", "baz"], + "title": "Foo", + "type": "object", + "additionalProperties": False, + } + ) + assert baz_tool.strict_json_schema is True, "baz_tool should be strict" + + +@pytest.mark.asyncio +async def test_agent_convert_schemas_false(): + """Test that setting convert_schemas_to_strict to False leaves tool schemas as non-strict. + - 'foo' tool remains strict. + - 'bar' tool remains non-strict (additionalProperties remains True). + """ + strict_schema = Foo.model_json_schema() + non_strict_schema = Baz.json_schema() + possible_to_convert_schema = _convertible_schema() + + server = FakeMCPServer() + server.add_tool("foo", strict_schema) + server.add_tool("bar", non_strict_schema) + server.add_tool("baz", possible_to_convert_schema) + + agent = Agent( + name="test_agent", mcp_servers=[server], mcp_config={"convert_schemas_to_strict": False} + ) + tools = await agent.get_mcp_tools() + + foo_tool = next(tool for tool in tools if tool.name == "foo") + assert isinstance(foo_tool, FunctionTool) + bar_tool = next(tool for tool in tools if tool.name == "bar") + assert isinstance(bar_tool, FunctionTool) + baz_tool = next(tool for tool in tools if tool.name == "baz") + assert isinstance(baz_tool, FunctionTool) + + assert foo_tool.params_json_schema == strict_schema + assert foo_tool.strict_json_schema is False, "Shouldn't be converted unless specified" + + assert bar_tool.params_json_schema == non_strict_schema + assert bar_tool.strict_json_schema is False + + assert baz_tool.params_json_schema == possible_to_convert_schema + assert baz_tool.strict_json_schema is False, "Shouldn't be converted unless specified" + + +@pytest.mark.asyncio +async def test_agent_convert_schemas_unset(): + """Test that leaving convert_schemas_to_strict unset (defaulting to False) leaves tool schemas + as non-strict. + - 'foo' tool remains strict. + - 'bar' tool remains non-strict. + """ + strict_schema = Foo.model_json_schema() + non_strict_schema = Baz.json_schema() + possible_to_convert_schema = _convertible_schema() + + server = FakeMCPServer() + server.add_tool("foo", strict_schema) + server.add_tool("bar", non_strict_schema) + server.add_tool("baz", possible_to_convert_schema) + agent = Agent(name="test_agent", mcp_servers=[server]) + tools = await agent.get_mcp_tools() + + foo_tool = next(tool for tool in tools if tool.name == "foo") + assert isinstance(foo_tool, FunctionTool) + bar_tool = next(tool for tool in tools if tool.name == "bar") + assert isinstance(bar_tool, FunctionTool) + baz_tool = next(tool for tool in tools if tool.name == "baz") + assert isinstance(baz_tool, FunctionTool) + + assert foo_tool.params_json_schema == strict_schema + assert foo_tool.strict_json_schema is False, "Shouldn't be converted unless specified" + + assert bar_tool.params_json_schema == non_strict_schema + assert bar_tool.strict_json_schema is False + + assert baz_tool.params_json_schema == possible_to_convert_schema + assert baz_tool.strict_json_schema is False, "Shouldn't be converted unless specified" diff --git a/tests/test_agent_runner.py b/tests/test_agent_runner.py index ce0c5804f..4f2776568 100644 --- a/tests/test_agent_runner.py +++ b/tests/test_agent_runner.py @@ -642,9 +642,7 @@ async def test_tool_use_behavior_custom_function(): async def test_model_settings_override(): model = FakeModel() agent = Agent( - name="test", - model=model, - model_settings=ModelSettings(temperature=1.0, max_tokens=1000) + name="test", model=model, model_settings=ModelSettings(temperature=1.0, max_tokens=1000) ) model.add_multiple_turn_outputs( diff --git a/tests/test_tracing_errors.py b/tests/test_tracing_errors.py index 6d698bcc7..72bd39eda 100644 --- a/tests/test_tracing_errors.py +++ b/tests/test_tracing_errors.py @@ -244,9 +244,10 @@ async def test_multiple_handoff_doesnt_error(): }, }, {"type": "generation"}, - {"type": "handoff", - "data": {"from_agent": "test", "to_agent": "test"}, - "error": { + { + "type": "handoff", + "data": {"from_agent": "test", "to_agent": "test"}, + "error": { "data": { "requested_agents": [ "test", @@ -255,7 +256,7 @@ async def test_multiple_handoff_doesnt_error(): }, "message": "Multiple handoffs requested", }, - }, + }, ], }, { @@ -383,10 +384,7 @@ async def test_handoffs_lead_to_correct_agent_spans(): {"type": "generation"}, { "type": "handoff", - "data": { - "from_agent": "test_agent_3", - "to_agent": "test_agent_1" - }, + "data": {"from_agent": "test_agent_3", "to_agent": "test_agent_1"}, "error": { "data": { "requested_agents": [ From e14dbbd26f1a81509a2e4d2ae645ffa6ac62692a Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 2 Apr 2025 11:25:14 -0400 Subject: [PATCH 039/337] Use "{}" instead of empty string for arguments ## Summary: Resolves #419. Unclear why, but `""` was raising errors. ## Test Plan: Confirmed things work with openai and anthropic both. --- src/agents/models/openai_chatcompletions.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/src/agents/models/openai_chatcompletions.py b/src/agents/models/openai_chatcompletions.py index de7b1ae4f..2ba18872e 100644 --- a/src/agents/models/openai_chatcompletions.py +++ b/src/agents/models/openai_chatcompletions.py @@ -923,12 +923,13 @@ def ensure_assistant_message() -> ChatCompletionAssistantMessageParam: elif func_call := cls.maybe_function_tool_call(item): asst = ensure_assistant_message() tool_calls = list(asst.get("tool_calls", [])) + arguments = func_call["arguments"] if func_call["arguments"] else "{}" new_tool_call = ChatCompletionMessageToolCallParam( id=func_call["call_id"], type="function", function={ "name": func_call["name"], - "arguments": func_call["arguments"], + "arguments": arguments, }, ) tool_calls.append(new_tool_call) @@ -971,7 +972,7 @@ def to_openai(cls, tool: Tool) -> ChatCompletionToolParam: } raise UserError( - f"Hosted tools are not supported with the ChatCompletions API. FGot tool type: " + f"Hosted tools are not supported with the ChatCompletions API. Got tool type: " f"{type(tool)}, tool: {tool}" ) From fd37abe1bafce124c26455d707b285484a043adc Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Thu, 3 Apr 2025 11:38:02 -0400 Subject: [PATCH 040/337] Misc small fixes - mcp version, test for function_schema, version gen Summary: 1. Use <2 for MCP version so it doesn't break if the MCP sdk upgrades. 2. Test the func schema extraction logic. 3. Fix the logic to get the version nuber of the framework Test Plan: unit tests --- .vscode/settings.json | 7 ++++++ pyproject.toml | 2 +- src/agents/__init__.py | 2 ++ src/agents/version.py | 2 +- tests/test_function_tool_decorator.py | 35 +++++++++++++++++++++++++++ uv.lock | 10 +++++--- 6 files changed, 52 insertions(+), 6 deletions(-) create mode 100644 .vscode/settings.json diff --git a/.vscode/settings.json b/.vscode/settings.json new file mode 100644 index 000000000..9b388533a --- /dev/null +++ b/.vscode/settings.json @@ -0,0 +1,7 @@ +{ + "python.testing.pytestArgs": [ + "tests" + ], + "python.testing.unittestEnabled": false, + "python.testing.pytestEnabled": true +} \ No newline at end of file diff --git a/pyproject.toml b/pyproject.toml index 8518301fa..75dd518c8 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -13,7 +13,7 @@ dependencies = [ "typing-extensions>=4.12.2, <5", "requests>=2.0, <3", "types-requests>=2.0, <3", - "mcp; python_version >= '3.10'", + "mcp>=1.6.0, <2; python_version >= '3.10'", ] classifiers = [ "Typing :: Typed", diff --git a/src/agents/__init__.py b/src/agents/__init__.py index 242f56490..db7d312e4 100644 --- a/src/agents/__init__.py +++ b/src/agents/__init__.py @@ -100,6 +100,7 @@ transcription_span, ) from .usage import Usage +from .version import __version__ def set_default_openai_key(key: str, use_for_tracing: bool = True) -> None: @@ -247,4 +248,5 @@ def enable_verbose_stdout_logging(): "gen_trace_id", "gen_span_id", "default_tool_error_function", + "__version__", ] diff --git a/src/agents/version.py b/src/agents/version.py index a0b7e9be0..9b22499ed 100644 --- a/src/agents/version.py +++ b/src/agents/version.py @@ -1,7 +1,7 @@ import importlib.metadata try: - __version__ = importlib.metadata.version("agents") + __version__ = importlib.metadata.version("openai-agents") except importlib.metadata.PackageNotFoundError: # Fallback if running from source without being installed __version__ = "0.0.0" diff --git a/tests/test_function_tool_decorator.py b/tests/test_function_tool_decorator.py index 903dd1230..3b52788fb 100644 --- a/tests/test_function_tool_decorator.py +++ b/tests/test_function_tool_decorator.py @@ -3,6 +3,7 @@ from typing import Any, Optional import pytest +from inline_snapshot import snapshot from agents import function_tool from agents.run_context import RunContextWrapper @@ -198,3 +199,37 @@ async def test_all_optional_params_function(): input_data = {"x": 10, "y": "world", "z": 99} output = await tool.on_invoke_tool(ctx_wrapper(), json.dumps(input_data)) assert output == "10_world_99" + + +@function_tool +def get_weather(city: str) -> str: + """Get the weather for a given city. + + Args: + city: The city to get the weather for. + """ + return f"The weather in {city} is sunny." + + +@pytest.mark.asyncio +async def test_extract_descriptions_from_docstring(): + """Ensure that we extract function and param descriptions from docstrings.""" + + tool = get_weather + assert tool.description == "Get the weather for a given city." + params_json_schema = tool.params_json_schema + assert params_json_schema == snapshot( + { + "type": "object", + "properties": { + "city": { + "description": "The city to get the weather for.", + "title": "City", + "type": "string", + } + }, + "title": "get_weather_args", + "required": ["city"], + "additionalProperties": False, + } + ) diff --git a/uv.lock b/uv.lock index a9e8f1e79..e443c0095 100644 --- a/uv.lock +++ b/uv.lock @@ -1,4 +1,5 @@ version = 1 +revision = 1 requires-python = ">=3.9" resolution-markers = [ "python_full_version >= '3.10'", @@ -718,7 +719,7 @@ wheels = [ [[package]] name = "mcp" -version = "1.5.0" +version = "1.6.0" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "anyio", marker = "python_full_version >= '3.10'" }, @@ -730,9 +731,9 @@ dependencies = [ { name = "starlette", marker = "python_full_version >= '3.10'" }, { name = "uvicorn", marker = "python_full_version >= '3.10'" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/6d/c9/c55764824e893fdebe777ac7223200986a275c3191dba9169f8eb6d7c978/mcp-1.5.0.tar.gz", hash = "sha256:5b2766c05e68e01a2034875e250139839498c61792163a7b221fc170c12f5aa9", size = 159128 } +sdist = { url = "https://files.pythonhosted.org/packages/95/d2/f587cb965a56e992634bebc8611c5b579af912b74e04eb9164bd49527d21/mcp-1.6.0.tar.gz", hash = "sha256:d9324876de2c5637369f43161cd71eebfd803df5a95e46225cab8d280e366723", size = 200031 } wheels = [ - { url = "https://files.pythonhosted.org/packages/c1/d1/3ff566ecf322077d861f1a68a1ff025cad337417bd66ad22a7c6f7dfcfaf/mcp-1.5.0-py3-none-any.whl", hash = "sha256:51c3f35ce93cb702f7513c12406bbea9665ef75a08db909200b07da9db641527", size = 73734 }, + { url = "https://files.pythonhosted.org/packages/10/30/20a7f33b0b884a9d14dd3aa94ff1ac9da1479fe2ad66dd9e2736075d2506/mcp-1.6.0-py3-none-any.whl", hash = "sha256:7bd24c6ea042dbec44c754f100984d186620d8b841ec30f1b19eda9b93a634d0", size = 76077 }, ] [[package]] @@ -1133,7 +1134,7 @@ dev = [ requires-dist = [ { name = "graphviz", marker = "extra == 'viz'", specifier = ">=0.17" }, { name = "griffe", specifier = ">=1.5.6,<2" }, - { name = "mcp", marker = "python_full_version >= '3.10'" }, + { name = "mcp", marker = "python_full_version >= '3.10'", specifier = ">=1.6.0,<2" }, { name = "numpy", marker = "python_full_version >= '3.10' and extra == 'voice'", specifier = ">=2.2.0,<3" }, { name = "openai", specifier = ">=1.66.5" }, { name = "pydantic", specifier = ">=2.10,<3" }, @@ -1142,6 +1143,7 @@ requires-dist = [ { name = "typing-extensions", specifier = ">=4.12.2,<5" }, { name = "websockets", marker = "extra == 'voice'", specifier = ">=15.0,<16" }, ] +provides-extras = ["voice", "viz"] [package.metadata.requires-dev] dev = [ From 7b43f778a12a7b770409ad0cb8b61d9926bf478f Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Thu, 3 Apr 2025 19:44:43 -0400 Subject: [PATCH 041/337] v0.0.8 --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 75dd518c8..3ade2c527 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "openai-agents" -version = "0.0.7" +version = "0.0.8" description = "OpenAI Agents SDK" readme = "README.md" requires-python = ">=3.9" From e4b622f60aa6200954d79ab204e02d3d51fb96e7 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 7 Apr 2025 17:40:40 -0400 Subject: [PATCH 042/337] Ensure MCP works when inputSchema.properties is missing --- src/agents/mcp/util.py | 5 +++++ tests/mcp/test_mcp_util.py | 25 +++++++++++++++++++++++++ 2 files changed, 30 insertions(+) diff --git a/src/agents/mcp/util.py b/src/agents/mcp/util.py index 770ae8dd4..bbfe1885c 100644 --- a/src/agents/mcp/util.py +++ b/src/agents/mcp/util.py @@ -59,6 +59,11 @@ def to_function_tool( """Convert an MCP tool to an Agents SDK function tool.""" invoke_func = functools.partial(cls.invoke_mcp_tool, server, tool) schema, is_strict = tool.inputSchema, False + + # MCP spec doesn't require the inputSchema to have `properties`, but OpenAI spec does. + if "properties" not in schema: + schema["properties"] = {} + if convert_schemas_to_strict: try: schema = ensure_strict_json_schema(schema) diff --git a/tests/mcp/test_mcp_util.py b/tests/mcp/test_mcp_util.py index 64378b59e..dad2a71a0 100644 --- a/tests/mcp/test_mcp_util.py +++ b/tests/mcp/test_mcp_util.py @@ -260,3 +260,28 @@ async def test_agent_convert_schemas_unset(): assert baz_tool.params_json_schema == possible_to_convert_schema assert baz_tool.strict_json_schema is False, "Shouldn't be converted unless specified" + + +@pytest.mark.asyncio +async def test_util_adds_properties(): + """The MCP spec doesn't require the inputSchema to have `properties`, so we need to add it + if it's missing. + """ + schema = { + "type": "object", + "description": "Test tool", + } + + server = FakeMCPServer() + server.add_tool("test_tool", schema) + + tools = await MCPUtil.get_all_function_tools([server], convert_schemas_to_strict=False) + tool = next(tool for tool in tools if tool.name == "test_tool") + + assert isinstance(tool, FunctionTool) + assert "properties" in tool.params_json_schema + assert tool.params_json_schema["properties"] == {} + + assert tool.params_json_schema == snapshot( + {"type": "object", "description": "Test tool", "properties": {}} + ) From 49ae90035b374aa9f0575f37c2e34be5554aba59 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 7 Apr 2025 17:40:40 -0400 Subject: [PATCH 043/337] Ensure MCP works when inputSchema.properties is missing --- src/agents/mcp/util.py | 5 +++++ tests/mcp/test_mcp_util.py | 43 +++++++++++++++++++++++++++++++------- 2 files changed, 41 insertions(+), 7 deletions(-) diff --git a/src/agents/mcp/util.py b/src/agents/mcp/util.py index 770ae8dd4..bbfe1885c 100644 --- a/src/agents/mcp/util.py +++ b/src/agents/mcp/util.py @@ -59,6 +59,11 @@ def to_function_tool( """Convert an MCP tool to an Agents SDK function tool.""" invoke_func = functools.partial(cls.invoke_mcp_tool, server, tool) schema, is_strict = tool.inputSchema, False + + # MCP spec doesn't require the inputSchema to have `properties`, but OpenAI spec does. + if "properties" not in schema: + schema["properties"] = {} + if convert_schemas_to_strict: try: schema = ensure_strict_json_schema(schema) diff --git a/tests/mcp/test_mcp_util.py b/tests/mcp/test_mcp_util.py index 64378b59e..74356a16d 100644 --- a/tests/mcp/test_mcp_util.py +++ b/tests/mcp/test_mcp_util.py @@ -63,7 +63,10 @@ async def test_get_all_function_tools(): for idx, tool in enumerate(tools): assert isinstance(tool, FunctionTool) - assert tool.params_json_schema == schemas[idx] + if schemas[idx] == {}: + assert tool.params_json_schema == snapshot({"properties": {}}) + else: + assert tool.params_json_schema == schemas[idx] assert tool.name == names[idx] # Also make sure it works with strict schemas @@ -167,10 +170,7 @@ async def test_agent_convert_schemas_true(): # Checks that additionalProperties is set to False assert bar_tool.params_json_schema == snapshot( - { - "type": "object", - "additionalProperties": {"type": "string"}, - } + {"type": "object", "additionalProperties": {"type": "string"}, "properties": {}} ) assert bar_tool.strict_json_schema is False, "bar_tool should not be strict" @@ -220,7 +220,9 @@ async def test_agent_convert_schemas_false(): assert foo_tool.params_json_schema == strict_schema assert foo_tool.strict_json_schema is False, "Shouldn't be converted unless specified" - assert bar_tool.params_json_schema == non_strict_schema + assert bar_tool.params_json_schema == snapshot( + {"type": "object", "additionalProperties": {"type": "string"}, "properties": {}} + ) assert bar_tool.strict_json_schema is False assert baz_tool.params_json_schema == possible_to_convert_schema @@ -255,8 +257,35 @@ async def test_agent_convert_schemas_unset(): assert foo_tool.params_json_schema == strict_schema assert foo_tool.strict_json_schema is False, "Shouldn't be converted unless specified" - assert bar_tool.params_json_schema == non_strict_schema + assert bar_tool.params_json_schema == snapshot( + {"type": "object", "additionalProperties": {"type": "string"}, "properties": {}} + ) assert bar_tool.strict_json_schema is False assert baz_tool.params_json_schema == possible_to_convert_schema assert baz_tool.strict_json_schema is False, "Shouldn't be converted unless specified" + + +@pytest.mark.asyncio +async def test_util_adds_properties(): + """The MCP spec doesn't require the inputSchema to have `properties`, so we need to add it + if it's missing. + """ + schema = { + "type": "object", + "description": "Test tool", + } + + server = FakeMCPServer() + server.add_tool("test_tool", schema) + + tools = await MCPUtil.get_all_function_tools([server], convert_schemas_to_strict=False) + tool = next(tool for tool in tools if tool.name == "test_tool") + + assert isinstance(tool, FunctionTool) + assert "properties" in tool.params_json_schema + assert tool.params_json_schema["properties"] == {} + + assert tool.params_json_schema == snapshot( + {"type": "object", "description": "Test tool", "properties": {}} + ) From 1497d093307ee741e8de612c91554727ea102bd6 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 7 Apr 2025 18:47:00 -0400 Subject: [PATCH 044/337] Don't send the "store" param unless its hitting OpenAI Summary: See #443. Causes issues with Gemini. Test Plan: Tests. --- src/agents/models/openai_chatcompletions.py | 14 +++++--- tests/test_openai_chatcompletions.py | 39 ++++++++++++++++++++- 2 files changed, 47 insertions(+), 6 deletions(-) diff --git a/src/agents/models/openai_chatcompletions.py b/src/agents/models/openai_chatcompletions.py index cbc48c505..e0aafad06 100644 --- a/src/agents/models/openai_chatcompletions.py +++ b/src/agents/models/openai_chatcompletions.py @@ -518,10 +518,8 @@ async def _fetch_response( f"Response format: {response_format}\n" ) - # Match the behavior of Responses where store is True when not given - store = model_settings.store if model_settings.store is not None else True - reasoning_effort = model_settings.reasoning.effort if model_settings.reasoning else None + store = _Converter.get_store_param(self._get_client(), model_settings) ret = await self._get_client().chat.completions.create( model=self.model, @@ -537,10 +535,10 @@ async def _fetch_response( parallel_tool_calls=parallel_tool_calls, stream=stream, stream_options={"include_usage": True} if stream else NOT_GIVEN, - store=store, + store=self._non_null_or_not_given(store), reasoning_effort=self._non_null_or_not_given(reasoning_effort), extra_headers=_HEADERS, - metadata=model_settings.metadata, + metadata=self._non_null_or_not_given(model_settings.metadata), ) if isinstance(ret, ChatCompletion): @@ -570,6 +568,12 @@ def _get_client(self) -> AsyncOpenAI: class _Converter: + @classmethod + def get_store_param(cls, client: AsyncOpenAI, model_settings: ModelSettings) -> bool | None: + # Match the behavior of Responses where store is True when not given + default_store = True if str(client.base_url).startswith("https://api.openai.com") else None + return model_settings.store if model_settings.store is not None else default_store + @classmethod def convert_tool_choice( cls, tool_choice: Literal["auto", "required", "none"] | str | None diff --git a/tests/test_openai_chatcompletions.py b/tests/test_openai_chatcompletions.py index 9a53e2b76..554fd9eae 100644 --- a/tests/test_openai_chatcompletions.py +++ b/tests/test_openai_chatcompletions.py @@ -5,7 +5,7 @@ import httpx import pytest -from openai import NOT_GIVEN +from openai import NOT_GIVEN, AsyncOpenAI from openai.types.chat.chat_completion import ChatCompletion, Choice from openai.types.chat.chat_completion_chunk import ChatCompletionChunk from openai.types.chat.chat_completion_message import ChatCompletionMessage @@ -31,6 +31,7 @@ generation_span, ) from agents.models.fake_id import FAKE_RESPONSES_ID +from agents.models.openai_chatcompletions import _Converter @pytest.mark.allow_call_model_methods @@ -290,3 +291,39 @@ def __init__(self, completions: DummyCompletions) -> None: assert response.output == [] # We returned the async iterator produced by our dummy. assert hasattr(stream, "__aiter__") + + +def test_store_param(): + """Should default to True for OpenAI API calls, and False otherwise.""" + + model_settings = ModelSettings() + client = AsyncOpenAI() + assert _Converter.get_store_param(client, model_settings) is True, ( + "Should default to True for OpenAI API calls" + ) + + model_settings = ModelSettings(store=False) + assert _Converter.get_store_param(client, model_settings) is False, ( + "Should respect explicitly set store=False" + ) + + model_settings = ModelSettings(store=True) + assert _Converter.get_store_param(client, model_settings) is True, ( + "Should respect explicitly set store=True" + ) + + client = AsyncOpenAI(base_url="http://www.notopenai.com") + model_settings = ModelSettings() + assert _Converter.get_store_param(client, model_settings) is None, ( + "Should default to None for non-OpenAI API calls" + ) + + model_settings = ModelSettings(store=False) + assert _Converter.get_store_param(client, model_settings) is False, ( + "Should respect explicitly set store=False" + ) + + model_settings = ModelSettings(store=True) + assert _Converter.get_store_param(client, model_settings) is True, ( + "Should respect explicitly set store=True" + ) From f3a21396e6027936ab1a9b101f9c4ae110f7fe4e Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 7 Apr 2025 18:47:00 -0400 Subject: [PATCH 045/337] Don't send the "store" param unless its hitting OpenAI Summary: See #443. Causes issues with Gemini. Test Plan: Tests. --- src/agents/models/openai_chatcompletions.py | 14 +++++--- tests/test_openai_chatcompletions.py | 39 ++++++++++++++++++++- uv.lock | 2 +- 3 files changed, 48 insertions(+), 7 deletions(-) diff --git a/src/agents/models/openai_chatcompletions.py b/src/agents/models/openai_chatcompletions.py index cbc48c505..e0aafad06 100644 --- a/src/agents/models/openai_chatcompletions.py +++ b/src/agents/models/openai_chatcompletions.py @@ -518,10 +518,8 @@ async def _fetch_response( f"Response format: {response_format}\n" ) - # Match the behavior of Responses where store is True when not given - store = model_settings.store if model_settings.store is not None else True - reasoning_effort = model_settings.reasoning.effort if model_settings.reasoning else None + store = _Converter.get_store_param(self._get_client(), model_settings) ret = await self._get_client().chat.completions.create( model=self.model, @@ -537,10 +535,10 @@ async def _fetch_response( parallel_tool_calls=parallel_tool_calls, stream=stream, stream_options={"include_usage": True} if stream else NOT_GIVEN, - store=store, + store=self._non_null_or_not_given(store), reasoning_effort=self._non_null_or_not_given(reasoning_effort), extra_headers=_HEADERS, - metadata=model_settings.metadata, + metadata=self._non_null_or_not_given(model_settings.metadata), ) if isinstance(ret, ChatCompletion): @@ -570,6 +568,12 @@ def _get_client(self) -> AsyncOpenAI: class _Converter: + @classmethod + def get_store_param(cls, client: AsyncOpenAI, model_settings: ModelSettings) -> bool | None: + # Match the behavior of Responses where store is True when not given + default_store = True if str(client.base_url).startswith("https://api.openai.com") else None + return model_settings.store if model_settings.store is not None else default_store + @classmethod def convert_tool_choice( cls, tool_choice: Literal["auto", "required", "none"] | str | None diff --git a/tests/test_openai_chatcompletions.py b/tests/test_openai_chatcompletions.py index 9a53e2b76..554fd9eae 100644 --- a/tests/test_openai_chatcompletions.py +++ b/tests/test_openai_chatcompletions.py @@ -5,7 +5,7 @@ import httpx import pytest -from openai import NOT_GIVEN +from openai import NOT_GIVEN, AsyncOpenAI from openai.types.chat.chat_completion import ChatCompletion, Choice from openai.types.chat.chat_completion_chunk import ChatCompletionChunk from openai.types.chat.chat_completion_message import ChatCompletionMessage @@ -31,6 +31,7 @@ generation_span, ) from agents.models.fake_id import FAKE_RESPONSES_ID +from agents.models.openai_chatcompletions import _Converter @pytest.mark.allow_call_model_methods @@ -290,3 +291,39 @@ def __init__(self, completions: DummyCompletions) -> None: assert response.output == [] # We returned the async iterator produced by our dummy. assert hasattr(stream, "__aiter__") + + +def test_store_param(): + """Should default to True for OpenAI API calls, and False otherwise.""" + + model_settings = ModelSettings() + client = AsyncOpenAI() + assert _Converter.get_store_param(client, model_settings) is True, ( + "Should default to True for OpenAI API calls" + ) + + model_settings = ModelSettings(store=False) + assert _Converter.get_store_param(client, model_settings) is False, ( + "Should respect explicitly set store=False" + ) + + model_settings = ModelSettings(store=True) + assert _Converter.get_store_param(client, model_settings) is True, ( + "Should respect explicitly set store=True" + ) + + client = AsyncOpenAI(base_url="http://www.notopenai.com") + model_settings = ModelSettings() + assert _Converter.get_store_param(client, model_settings) is None, ( + "Should default to None for non-OpenAI API calls" + ) + + model_settings = ModelSettings(store=False) + assert _Converter.get_store_param(client, model_settings) is False, ( + "Should respect explicitly set store=False" + ) + + model_settings = ModelSettings(store=True) + assert _Converter.get_store_param(client, model_settings) is True, ( + "Should respect explicitly set store=True" + ) diff --git a/uv.lock b/uv.lock index e443c0095..a6018eebd 100644 --- a/uv.lock +++ b/uv.lock @@ -1087,7 +1087,7 @@ wheels = [ [[package]] name = "openai-agents" -version = "0.0.7" +version = "0.0.8" source = { editable = "." } dependencies = [ { name = "griffe" }, From 67be1db7b01156a4d01088455ff24fcce57e9a8c Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 7 Apr 2025 18:47:00 -0400 Subject: [PATCH 046/337] Don't send the "store" param unless its hitting OpenAI Summary: See #443. Causes issues with Gemini. Test Plan: Tests. --- src/agents/models/openai_chatcompletions.py | 14 ++++--- tests/test_openai_chatcompletions.py | 43 +++++++++++++++++++-- uv.lock | 2 +- 3 files changed, 50 insertions(+), 9 deletions(-) diff --git a/src/agents/models/openai_chatcompletions.py b/src/agents/models/openai_chatcompletions.py index cbc48c505..e0aafad06 100644 --- a/src/agents/models/openai_chatcompletions.py +++ b/src/agents/models/openai_chatcompletions.py @@ -518,10 +518,8 @@ async def _fetch_response( f"Response format: {response_format}\n" ) - # Match the behavior of Responses where store is True when not given - store = model_settings.store if model_settings.store is not None else True - reasoning_effort = model_settings.reasoning.effort if model_settings.reasoning else None + store = _Converter.get_store_param(self._get_client(), model_settings) ret = await self._get_client().chat.completions.create( model=self.model, @@ -537,10 +535,10 @@ async def _fetch_response( parallel_tool_calls=parallel_tool_calls, stream=stream, stream_options={"include_usage": True} if stream else NOT_GIVEN, - store=store, + store=self._non_null_or_not_given(store), reasoning_effort=self._non_null_or_not_given(reasoning_effort), extra_headers=_HEADERS, - metadata=model_settings.metadata, + metadata=self._non_null_or_not_given(model_settings.metadata), ) if isinstance(ret, ChatCompletion): @@ -570,6 +568,12 @@ def _get_client(self) -> AsyncOpenAI: class _Converter: + @classmethod + def get_store_param(cls, client: AsyncOpenAI, model_settings: ModelSettings) -> bool | None: + # Match the behavior of Responses where store is True when not given + default_store = True if str(client.base_url).startswith("https://api.openai.com") else None + return model_settings.store if model_settings.store is not None else default_store + @classmethod def convert_tool_choice( cls, tool_choice: Literal["auto", "required", "none"] | str | None diff --git a/tests/test_openai_chatcompletions.py b/tests/test_openai_chatcompletions.py index 9a53e2b76..a3198d339 100644 --- a/tests/test_openai_chatcompletions.py +++ b/tests/test_openai_chatcompletions.py @@ -5,7 +5,7 @@ import httpx import pytest -from openai import NOT_GIVEN +from openai import NOT_GIVEN, AsyncOpenAI from openai.types.chat.chat_completion import ChatCompletion, Choice from openai.types.chat.chat_completion_chunk import ChatCompletionChunk from openai.types.chat.chat_completion_message import ChatCompletionMessage @@ -31,6 +31,7 @@ generation_span, ) from agents.models.fake_id import FAKE_RESPONSES_ID +from agents.models.openai_chatcompletions import _Converter @pytest.mark.allow_call_model_methods @@ -226,7 +227,7 @@ def __init__(self, completions: DummyCompletions) -> None: # Ensure expected args were passed through to OpenAI client. kwargs = completions.kwargs assert kwargs["stream"] is False - assert kwargs["store"] is True + assert kwargs["store"] is NOT_GIVEN assert kwargs["model"] == "gpt-4" assert kwargs["messages"][0]["role"] == "system" assert kwargs["messages"][0]["content"] == "sys" @@ -280,7 +281,7 @@ def __init__(self, completions: DummyCompletions) -> None: ) # Check OpenAI client was called for streaming assert completions.kwargs["stream"] is True - assert completions.kwargs["store"] is True + assert completions.kwargs["store"] is NOT_GIVEN assert completions.kwargs["stream_options"] == {"include_usage": True} # Response is a proper openai Response assert isinstance(response, Response) @@ -290,3 +291,39 @@ def __init__(self, completions: DummyCompletions) -> None: assert response.output == [] # We returned the async iterator produced by our dummy. assert hasattr(stream, "__aiter__") + + +def test_store_param(): + """Should default to True for OpenAI API calls, and False otherwise.""" + + model_settings = ModelSettings() + client = AsyncOpenAI() + assert _Converter.get_store_param(client, model_settings) is True, ( + "Should default to True for OpenAI API calls" + ) + + model_settings = ModelSettings(store=False) + assert _Converter.get_store_param(client, model_settings) is False, ( + "Should respect explicitly set store=False" + ) + + model_settings = ModelSettings(store=True) + assert _Converter.get_store_param(client, model_settings) is True, ( + "Should respect explicitly set store=True" + ) + + client = AsyncOpenAI(base_url="http://www.notopenai.com") + model_settings = ModelSettings() + assert _Converter.get_store_param(client, model_settings) is None, ( + "Should default to None for non-OpenAI API calls" + ) + + model_settings = ModelSettings(store=False) + assert _Converter.get_store_param(client, model_settings) is False, ( + "Should respect explicitly set store=False" + ) + + model_settings = ModelSettings(store=True) + assert _Converter.get_store_param(client, model_settings) is True, ( + "Should respect explicitly set store=True" + ) diff --git a/uv.lock b/uv.lock index e443c0095..a6018eebd 100644 --- a/uv.lock +++ b/uv.lock @@ -1087,7 +1087,7 @@ wheels = [ [[package]] name = "openai-agents" -version = "0.0.7" +version = "0.0.8" source = { editable = "." } dependencies = [ { name = "griffe" }, From 3774b2d42dbde59ac45bcfb9840de054727fb84e Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 7 Apr 2025 19:13:57 -0400 Subject: [PATCH 047/337] v0.0.9 --- pyproject.toml | 2 +- uv.lock | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 3ade2c527..f850d6293 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "openai-agents" -version = "0.0.8" +version = "0.0.9" description = "OpenAI Agents SDK" readme = "README.md" requires-python = ">=3.9" diff --git a/uv.lock b/uv.lock index a6018eebd..d1c272256 100644 --- a/uv.lock +++ b/uv.lock @@ -1087,7 +1087,7 @@ wheels = [ [[package]] name = "openai-agents" -version = "0.0.8" +version = "0.0.9" source = { editable = "." } dependencies = [ { name = "griffe" }, From 34271f59a0bb3528bb2023cd870695ac50523d50 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 14 Apr 2025 11:27:38 -0400 Subject: [PATCH 048/337] Don't run tracing shutdown behavior if disabled --- src/agents/tracing/setup.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/src/agents/tracing/setup.py b/src/agents/tracing/setup.py index 3a7c6ade5..9e27d210b 100644 --- a/src/agents/tracing/setup.py +++ b/src/agents/tracing/setup.py @@ -201,6 +201,9 @@ def create_span( ) def shutdown(self) -> None: + if self._disabled: + return + try: logger.debug("Shutting down trace provider") self._multi_processor.shutdown() From be58c5860eb1db4c7441325b5f70b9333913969b Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 14 Apr 2025 11:39:10 -0400 Subject: [PATCH 049/337] Add docs for customizng agent-as-tool --- docs/tools.md | 21 +++++++++++++++++++++ 1 file changed, 21 insertions(+) diff --git a/docs/tools.md b/docs/tools.md index f7a88691b..2d017c14b 100644 --- a/docs/tools.md +++ b/docs/tools.md @@ -259,6 +259,27 @@ async def main(): print(result.final_output) ``` +### Customizing tool-agents + +The `agent.as_tool` function is a convenience method to make it easy to turn an agent into a tool. It doesn't support all configuration though; for example, you can't set `max_turns`. For advanced use cases, it's very easy to configure it yourself: + +```python +@function_tool +async def run_my_agent() -> str: + """A tool that runs the agent with custom configs". + + agent = Agent(name="My agent", instructions="...") + + result = await Runner.run( + agent, + input="...", + max_turns=5, + run_config=... + ) + + return str(result.final_output) +``` + ## Handling errors in function tools When you create a function tool via `@function_tool`, you can pass a `failure_error_function`. This is a function that provides an error response to the LLM in case the tool call crashes. From 481231ca3d8725191052ca68b68acfccdd4ee82c Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 14 Apr 2025 12:00:38 -0400 Subject: [PATCH 050/337] Example for streaming guardrails --- .../agent_patterns/streaming_guardrails.py | 87 +++++++++++++++++++ 1 file changed, 87 insertions(+) create mode 100644 examples/agent_patterns/streaming_guardrails.py diff --git a/examples/agent_patterns/streaming_guardrails.py b/examples/agent_patterns/streaming_guardrails.py new file mode 100644 index 000000000..23eef8c20 --- /dev/null +++ b/examples/agent_patterns/streaming_guardrails.py @@ -0,0 +1,87 @@ +from __future__ import annotations + +import asyncio + +from openai.types.responses import ResponseTextDeltaEvent +from pydantic import BaseModel, Field + +from agents import Agent, Runner + +""" +This example shows how to use guardrails as the model is streaming. Output guardrails run after the +final output has been generated; this example runs guardails every N tokens, allowing for early +termination if bad output is detected. + +The expected output is that you'll see a bunch of tokens stream in, then the guardrail will trigger +and stop the streaming. +""" + + +agent = Agent( + name="Assistant", + instructions=( + "You are a helpful assistant. You ALWAYS write long responses, making sure to be verbose " + "and detailed." + ), +) + + +class GuardrailOutput(BaseModel): + reasoning: str = Field( + description="Reasoning about whether the response could be understood by a ten year old." + ) + is_readable_by_ten_year_old: bool = Field( + description="Whether the response is understandable by a ten year old." + ) + + +guardrail_agent = Agent( + name="Checker", + instructions=( + "You will be given a question and a response. Your goal is to judge whether the response " + "is simple enough to be understood by a ten year old." + ), + output_type=GuardrailOutput, + model="gpt-4o-mini", +) + + +async def check_guardrail(text: str) -> GuardrailOutput: + result = await Runner.run(guardrail_agent, text) + return result.final_output_as(GuardrailOutput) + + +async def main(): + question = "What is a black hole, and how does it behave?" + result = Runner.run_streamed(agent, question) + current_text = "" + + # We will check the guardrail every N characters + next_guardrail_check_len = 300 + guardrail_task = None + + async for event in result.stream_events(): + if event.type == "raw_response_event" and isinstance(event.data, ResponseTextDeltaEvent): + print(event.data.delta, end="", flush=True) + current_text += event.data.delta + + # Check if it's time to run the guardrail check + # Note that we don't run the guardrail check if there's already a task running. An + # alternate implementation is to have N guardrails running, or cancel the previous + # one. + if len(current_text) >= next_guardrail_check_len and not guardrail_task: + print("Running guardrail check") + guardrail_task = asyncio.create_task(check_guardrail(current_text)) + next_guardrail_check_len += 300 + + # Every iteration of the loop, check if the guardrail has been triggered + if guardrail_task and guardrail_task.done(): + guardrail_result = guardrail_task.result() + if not guardrail_result.is_readable_by_ten_year_old: + print("\n\n================\n\n") + print(f"Guardrail triggered. Reasoning:\n{guardrail_result.reasoning}") + break + + +if __name__ == "__main__": + asyncio.run(main()) From f6fe0ef5a08a689cb6c46e83b59cce5ffce0246a Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 14 Apr 2025 12:00:38 -0400 Subject: [PATCH 051/337] Example for streaming guardrails --- .../agent_patterns/streaming_guardrails.py | 87 +++++++++++++++++++ src/agents/models/openai_chatcompletions.py | 8 +- src/agents/models/openai_responses.py | 2 +- 3 files changed, 93 insertions(+), 4 deletions(-) create mode 100644 examples/agent_patterns/streaming_guardrails.py diff --git a/examples/agent_patterns/streaming_guardrails.py b/examples/agent_patterns/streaming_guardrails.py new file mode 100644 index 000000000..dcffd14ac --- /dev/null +++ b/examples/agent_patterns/streaming_guardrails.py @@ -0,0 +1,87 @@ +from __future__ import annotations + +import asyncio + +from openai.types.responses import ResponseTextDeltaEvent +from pydantic import BaseModel, Field + +from agents import Agent, Runner + +""" +This example shows how to use guardrails as the model is streaming. Output guardrails run after the +final output has been generated; this example runs guardails every N tokens, allowing for early +termination if bad output is detected. + +The expected output is that you'll see a bunch of tokens stream in, then the guardrail will trigger +and stop the streaming. +""" + + +agent = Agent( + name="Assistant", + instructions=( + "You are a helpful assistant. You ALWAYS write long responses, making sure to be verbose " + "and detailed." + ), +) + + +class GuardrailOutput(BaseModel): + reasoning: str = Field( + description="Reasoning about whether the response could be understood by a ten year old." + ) + is_readable_by_ten_year_old: bool = Field( + description="Whether the response is understandable by a ten year old." + ) + + +guardrail_agent = Agent( + name="Checker", + instructions=( + "You will be given a question and a response. Your goal is to judge whether the response " + "is simple enough to be understood by a ten year old." + ), + output_type=GuardrailOutput, + model="gpt-4o-mini", +) + + +async def check_guardrail(text: str) -> GuardrailOutput: + result = await Runner.run(guardrail_agent, text) + return result.final_output_as(GuardrailOutput) + + +async def main(): + question = "What is a black hole, and how does it behave?" + result = Runner.run_streamed(agent, question) + current_text = "" + + # We will check the guardrail every N characters + next_guardrail_check_len = 300 + guardrail_task = None + + async for event in result.stream_events(): + if event.type == "raw_response_event" and isinstance(event.data, ResponseTextDeltaEvent): + print(event.data.delta, end="", flush=True) + current_text += event.data.delta + + # Check if it's time to run the guardrail check + # Note that we don't run the guardrail check if there's already a task running. An + # alternate implementation is to have N guardrails running, or cancel the previous + # one. + if len(current_text) >= next_guardrail_check_len and not guardrail_task: + print("Running guardrail check") + guardrail_task = asyncio.create_task(check_guardrail(current_text)) + next_guardrail_check_len += 300 + + # Every iteration of the loop, check if the guardrail has been triggered + if guardrail_task and guardrail_task.done(): + guardrail_result = guardrail_task.result() + if not guardrail_result.is_readable_by_ten_year_old: + print("\n\n================\n\n") + print(f"Guardrail triggered. Reasoning:\n{guardrail_result.reasoning}") + break + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/src/agents/models/openai_chatcompletions.py b/src/agents/models/openai_chatcompletions.py index 267efcaf1..6978ee30c 100644 --- a/src/agents/models/openai_chatcompletions.py +++ b/src/agents/models/openai_chatcompletions.py @@ -572,7 +572,6 @@ def _get_client(self) -> AsyncOpenAI: class _Converter: - @classmethod def is_openai(cls, client: AsyncOpenAI): return str(client.base_url).startswith("https://api.openai.com") @@ -585,11 +584,14 @@ def get_store_param(cls, client: AsyncOpenAI, model_settings: ModelSettings) -> @classmethod def get_stream_options_param( - cls, client: AsyncOpenAI, model_settings: ModelSettings + cls, client: AsyncOpenAI, model_settings: ModelSettings ) -> dict[str, bool] | None: default_include_usage = True if cls.is_openai(client) else None - include_usage = model_settings.include_usage if model_settings.include_usage is not None \ + include_usage = ( + model_settings.include_usage + if model_settings.include_usage is not None else default_include_usage + ) stream_options = {"include_usage": include_usage} if include_usage is not None else None return stream_options diff --git a/src/agents/models/openai_responses.py b/src/agents/models/openai_responses.py index cb5a603fc..055ab79bd 100644 --- a/src/agents/models/openai_responses.py +++ b/src/agents/models/openai_responses.py @@ -250,7 +250,7 @@ async def _fetch_response( text=response_format, store=self._non_null_or_not_given(model_settings.store), reasoning=self._non_null_or_not_given(model_settings.reasoning), - metadata=self._non_null_or_not_given(model_settings.metadata) + metadata=self._non_null_or_not_given(model_settings.metadata), ) def _get_client(self) -> AsyncOpenAI: From 6fb8e829477c1a503e3fb85b64be1c3dd09ca368 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 14 Apr 2025 12:00:38 -0400 Subject: [PATCH 052/337] Example for streaming guardrails --- .../agent_patterns/streaming_guardrails.py | 93 +++++++++++++++++++ src/agents/models/openai_chatcompletions.py | 8 +- src/agents/models/openai_responses.py | 2 +- 3 files changed, 99 insertions(+), 4 deletions(-) create mode 100644 examples/agent_patterns/streaming_guardrails.py diff --git a/examples/agent_patterns/streaming_guardrails.py b/examples/agent_patterns/streaming_guardrails.py new file mode 100644 index 000000000..f4db2869b --- /dev/null +++ b/examples/agent_patterns/streaming_guardrails.py @@ -0,0 +1,93 @@ +from __future__ import annotations + +import asyncio + +from openai.types.responses import ResponseTextDeltaEvent +from pydantic import BaseModel, Field + +from agents import Agent, Runner + +""" +This example shows how to use guardrails as the model is streaming. Output guardrails run after the +final output has been generated; this example runs guardails every N tokens, allowing for early +termination if bad output is detected. + +The expected output is that you'll see a bunch of tokens stream in, then the guardrail will trigger +and stop the streaming. +""" + + +agent = Agent( + name="Assistant", + instructions=( + "You are a helpful assistant. You ALWAYS write long responses, making sure to be verbose " + "and detailed." + ), +) + + +class GuardrailOutput(BaseModel): + reasoning: str = Field( + description="Reasoning about whether the response could be understood by a ten year old." + ) + is_readable_by_ten_year_old: bool = Field( + description="Whether the response is understandable by a ten year old." + ) + + +guardrail_agent = Agent( + name="Checker", + instructions=( + "You will be given a question and a response. Your goal is to judge whether the response " + "is simple enough to be understood by a ten year old." + ), + output_type=GuardrailOutput, + model="gpt-4o-mini", +) + + +async def check_guardrail(text: str) -> GuardrailOutput: + result = await Runner.run(guardrail_agent, text) + return result.final_output_as(GuardrailOutput) + + +async def main(): + question = "What is a black hole, and how does it behave?" + result = Runner.run_streamed(agent, question) + current_text = "" + + # We will check the guardrail every N characters + next_guardrail_check_len = 300 + guardrail_task = None + + async for event in result.stream_events(): + if event.type == "raw_response_event" and isinstance(event.data, ResponseTextDeltaEvent): + print(event.data.delta, end="", flush=True) + current_text += event.data.delta + + # Check if it's time to run the guardrail check + # Note that we don't run the guardrail check if there's already a task running. An + # alternate implementation is to have N guardrails running, or cancel the previous + # one. + if len(current_text) >= next_guardrail_check_len and not guardrail_task: + print("Running guardrail check") + guardrail_task = asyncio.create_task(check_guardrail(current_text)) + next_guardrail_check_len += 300 + + # Every iteration of the loop, check if the guardrail has been triggered + if guardrail_task and guardrail_task.done(): + guardrail_result = guardrail_task.result() + if not guardrail_result.is_readable_by_ten_year_old: + print("\n\n================\n\n") + print(f"Guardrail triggered. Reasoning:\n{guardrail_result.reasoning}") + break + + # Do one final check on the final output + guardrail_result = await check_guardrail(current_text) + if not guardrail_result.is_readable_by_ten_year_old: + print("\n\n================\n\n") + print(f"Guardrail triggered. Reasoning:\n{guardrail_result.reasoning}") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/src/agents/models/openai_chatcompletions.py b/src/agents/models/openai_chatcompletions.py index 267efcaf1..6978ee30c 100644 --- a/src/agents/models/openai_chatcompletions.py +++ b/src/agents/models/openai_chatcompletions.py @@ -572,7 +572,6 @@ def _get_client(self) -> AsyncOpenAI: class _Converter: - @classmethod def is_openai(cls, client: AsyncOpenAI): return str(client.base_url).startswith("https://api.openai.com") @@ -585,11 +584,14 @@ def get_store_param(cls, client: AsyncOpenAI, model_settings: ModelSettings) -> @classmethod def get_stream_options_param( - cls, client: AsyncOpenAI, model_settings: ModelSettings + cls, client: AsyncOpenAI, model_settings: ModelSettings ) -> dict[str, bool] | None: default_include_usage = True if cls.is_openai(client) else None - include_usage = model_settings.include_usage if model_settings.include_usage is not None \ + include_usage = ( + model_settings.include_usage + if model_settings.include_usage is not None else default_include_usage + ) stream_options = {"include_usage": include_usage} if include_usage is not None else None return stream_options diff --git a/src/agents/models/openai_responses.py b/src/agents/models/openai_responses.py index cb5a603fc..055ab79bd 100644 --- a/src/agents/models/openai_responses.py +++ b/src/agents/models/openai_responses.py @@ -250,7 +250,7 @@ async def _fetch_response( text=response_format, store=self._non_null_or_not_given(model_settings.store), reasoning=self._non_null_or_not_given(model_settings.reasoning), - metadata=self._non_null_or_not_given(model_settings.metadata) + metadata=self._non_null_or_not_given(model_settings.metadata), ) def _get_client(self) -> AsyncOpenAI: From fd60f3d2ada5e68aeb65285cc167900184c6f90d Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 14 Apr 2025 14:23:10 -0400 Subject: [PATCH 053/337] Move dev-only deps to dev section --- pyproject.toml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index fa3da072a..251a6ab55 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -14,8 +14,6 @@ dependencies = [ "requests>=2.0, <3", "types-requests>=2.0, <3", "mcp>=1.6.0, <2; python_version >= '3.10'", - "mkdocs-static-i18n>=1.3.0", - "eval-type-backport>=0.2.2", ] classifiers = [ "Typing :: Typed", @@ -60,6 +58,8 @@ dev = [ "textual", "websockets", "graphviz", + "mkdocs-static-i18n>=1.3.0", + "eval-type-backport>=0.2.2", ] [tool.uv.workspace] From 79696b61da847ac3d2275a1edf455cf031ebe563 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 14 Apr 2025 17:55:36 -0400 Subject: [PATCH 054/337] Replace referencable_id with response_id --- src/agents/items.py | 2 +- src/agents/models/openai_chatcompletions.py | 2 +- src/agents/models/openai_responses.py | 2 +- src/agents/run.py | 2 +- tests/fake_model.py | 2 +- tests/test_items_helpers.py | 12 ++++---- tests/test_openai_chatcompletions.py | 2 +- tests/test_run_step_execution.py | 20 ++++++------- tests/test_run_step_processing.py | 32 ++++++++++----------- 9 files changed, 38 insertions(+), 38 deletions(-) diff --git a/src/agents/items.py b/src/agents/items.py index c2af0dfc6..d72701abf 100644 --- a/src/agents/items.py +++ b/src/agents/items.py @@ -166,7 +166,7 @@ class ModelResponse: usage: Usage """The usage information for the response.""" - referenceable_id: str | None + response_id: str | None """An ID for the response which can be used to refer to the response in subsequent calls to the model. Not supported by all model providers. """ diff --git a/src/agents/models/openai_chatcompletions.py b/src/agents/models/openai_chatcompletions.py index 6978ee30c..b60d5d6a8 100644 --- a/src/agents/models/openai_chatcompletions.py +++ b/src/agents/models/openai_chatcompletions.py @@ -156,7 +156,7 @@ async def get_response( return ModelResponse( output=items, usage=usage, - referenceable_id=None, + response_id=None, ) async def stream_response( diff --git a/src/agents/models/openai_responses.py b/src/agents/models/openai_responses.py index 055ab79bd..e509d6f8b 100644 --- a/src/agents/models/openai_responses.py +++ b/src/agents/models/openai_responses.py @@ -120,7 +120,7 @@ async def get_response( return ModelResponse( output=response.output, usage=usage, - referenceable_id=response.id, + response_id=response.id, ) async def stream_response( diff --git a/src/agents/run.py b/src/agents/run.py index 0159822aa..93e6490c1 100644 --- a/src/agents/run.py +++ b/src/agents/run.py @@ -677,7 +677,7 @@ async def _run_single_turn_streamed( final_response = ModelResponse( output=event.response.output, usage=usage, - referenceable_id=event.response.id, + response_id=event.response.id, ) streamed_result._event_queue.put_nowait(RawResponsesStreamEvent(data=event)) diff --git a/tests/fake_model.py b/tests/fake_model.py index ecbb75832..61fb5951e 100644 --- a/tests/fake_model.py +++ b/tests/fake_model.py @@ -81,7 +81,7 @@ async def get_response( return ModelResponse( output=output, usage=Usage(), - referenceable_id=None, + response_id=None, ) async def stream_response( diff --git a/tests/test_items_helpers.py b/tests/test_items_helpers.py index 90fe64753..5dba21d88 100644 --- a/tests/test_items_helpers.py +++ b/tests/test_items_helpers.py @@ -168,7 +168,7 @@ def test_to_input_items_for_message() -> None: message = ResponseOutputMessage( id="m1", content=[content], role="assistant", status="completed", type="message" ) - resp = ModelResponse(output=[message], usage=Usage(), referenceable_id=None) + resp = ModelResponse(output=[message], usage=Usage(), response_id=None) input_items = resp.to_input_items() assert isinstance(input_items, list) and len(input_items) == 1 # The dict should contain exactly the primitive values of the message @@ -193,7 +193,7 @@ def test_to_input_items_for_function_call() -> None: tool_call = ResponseFunctionToolCall( id="f1", arguments="{}", call_id="c1", name="func", type="function_call" ) - resp = ModelResponse(output=[tool_call], usage=Usage(), referenceable_id=None) + resp = ModelResponse(output=[tool_call], usage=Usage(), response_id=None) input_items = resp.to_input_items() assert isinstance(input_items, list) and len(input_items) == 1 expected: ResponseFunctionToolCallParam = { @@ -211,7 +211,7 @@ def test_to_input_items_for_file_search_call() -> None: fs_call = ResponseFileSearchToolCall( id="fs1", queries=["query"], status="completed", type="file_search_call" ) - resp = ModelResponse(output=[fs_call], usage=Usage(), referenceable_id=None) + resp = ModelResponse(output=[fs_call], usage=Usage(), response_id=None) input_items = resp.to_input_items() assert isinstance(input_items, list) and len(input_items) == 1 expected: ResponseFileSearchToolCallParam = { @@ -226,7 +226,7 @@ def test_to_input_items_for_file_search_call() -> None: def test_to_input_items_for_web_search_call() -> None: """A web search tool call output should produce the same dict as a web search input.""" ws_call = ResponseFunctionWebSearch(id="w1", status="completed", type="web_search_call") - resp = ModelResponse(output=[ws_call], usage=Usage(), referenceable_id=None) + resp = ModelResponse(output=[ws_call], usage=Usage(), response_id=None) input_items = resp.to_input_items() assert isinstance(input_items, list) and len(input_items) == 1 expected: ResponseFunctionWebSearchParam = { @@ -248,7 +248,7 @@ def test_to_input_items_for_computer_call_click() -> None: pending_safety_checks=[], status="completed", ) - resp = ModelResponse(output=[comp_call], usage=Usage(), referenceable_id=None) + resp = ModelResponse(output=[comp_call], usage=Usage(), response_id=None) input_items = resp.to_input_items() assert isinstance(input_items, list) and len(input_items) == 1 converted_dict = input_items[0] @@ -268,7 +268,7 @@ def test_to_input_items_for_reasoning() -> None: """A reasoning output should produce the same dict as a reasoning input item.""" rc = Summary(text="why", type="summary_text") reasoning = ResponseReasoningItem(id="rid1", summary=[rc], type="reasoning") - resp = ModelResponse(output=[reasoning], usage=Usage(), referenceable_id=None) + resp = ModelResponse(output=[reasoning], usage=Usage(), response_id=None) input_items = resp.to_input_items() assert isinstance(input_items, list) and len(input_items) == 1 converted_dict = input_items[0] diff --git a/tests/test_openai_chatcompletions.py b/tests/test_openai_chatcompletions.py index 281d7b412..3608fc571 100644 --- a/tests/test_openai_chatcompletions.py +++ b/tests/test_openai_chatcompletions.py @@ -80,7 +80,7 @@ async def patched_fetch_response(self, *args, **kwargs): assert resp.usage.input_tokens == 7 assert resp.usage.output_tokens == 5 assert resp.usage.total_tokens == 12 - assert resp.referenceable_id is None + assert resp.response_id is None @pytest.mark.allow_call_model_methods diff --git a/tests/test_run_step_execution.py b/tests/test_run_step_execution.py index 16c62c84a..6ae25fbd5 100644 --- a/tests/test_run_step_execution.py +++ b/tests/test_run_step_execution.py @@ -43,7 +43,7 @@ async def test_empty_response_is_final_output(): response = ModelResponse( output=[], usage=Usage(), - referenceable_id=None, + response_id=None, ) result = await get_execute_result(agent, response) @@ -59,7 +59,7 @@ async def test_plaintext_agent_no_tool_calls_is_final_output(): response = ModelResponse( output=[get_text_message("hello_world")], usage=Usage(), - referenceable_id=None, + response_id=None, ) result = await get_execute_result(agent, response) @@ -79,7 +79,7 @@ async def test_plaintext_agent_no_tool_calls_multiple_messages_is_final_output() get_text_message("bye"), ], usage=Usage(), - referenceable_id=None, + response_id=None, ) result = await get_execute_result( agent, @@ -105,7 +105,7 @@ async def test_plaintext_agent_with_tool_call_is_run_again(): response = ModelResponse( output=[get_text_message("hello_world"), get_function_tool_call("test", "")], usage=Usage(), - referenceable_id=None, + response_id=None, ) result = await get_execute_result(agent, response) @@ -140,7 +140,7 @@ async def test_multiple_tool_calls(): get_function_tool_call("test_2"), ], usage=Usage(), - referenceable_id=None, + response_id=None, ) result = await get_execute_result(agent, response) @@ -166,7 +166,7 @@ async def test_handoff_output_leads_to_handoff_next_step(): response = ModelResponse( output=[get_text_message("Hello, world!"), get_handoff_tool_call(agent_1)], usage=Usage(), - referenceable_id=None, + response_id=None, ) result = await get_execute_result(agent_3, response) @@ -186,7 +186,7 @@ async def test_final_output_without_tool_runs_again(): response = ModelResponse( output=[get_function_tool_call("tool_1")], usage=Usage(), - referenceable_id=None, + response_id=None, ) result = await get_execute_result(agent, response) @@ -203,7 +203,7 @@ async def test_final_output_leads_to_final_output_next_step(): get_final_output_message(Foo(bar="123").model_dump_json()), ], usage=Usage(), - referenceable_id=None, + response_id=None, ) result = await get_execute_result(agent, response) @@ -222,7 +222,7 @@ async def test_handoff_and_final_output_leads_to_handoff_next_step(): get_handoff_tool_call(agent_1), ], usage=Usage(), - referenceable_id=None, + response_id=None, ) result = await get_execute_result(agent_3, response) @@ -241,7 +241,7 @@ async def test_multiple_final_output_leads_to_final_output_next_step(): get_final_output_message(Foo(bar="456").model_dump_json()), ], usage=Usage(), - referenceable_id=None, + response_id=None, ) result = await get_execute_result(agent_3, response) diff --git a/tests/test_run_step_processing.py b/tests/test_run_step_processing.py index 2a6634ac8..2ea98f06a 100644 --- a/tests/test_run_step_processing.py +++ b/tests/test_run_step_processing.py @@ -39,7 +39,7 @@ def test_empty_response(): response = ModelResponse( output=[], usage=Usage(), - referenceable_id=None, + response_id=None, ) result = RunImpl.process_model_response( @@ -58,7 +58,7 @@ def test_no_tool_calls(): response = ModelResponse( output=[get_text_message("Hello, world!")], usage=Usage(), - referenceable_id=None, + response_id=None, ) result = RunImpl.process_model_response( agent=agent, response=response, output_schema=None, handoffs=[], all_tools=[] @@ -76,7 +76,7 @@ async def test_single_tool_call(): get_function_tool_call("test", ""), ], usage=Usage(), - referenceable_id=None, + response_id=None, ) result = RunImpl.process_model_response( agent=agent, @@ -102,7 +102,7 @@ async def test_missing_tool_call_raises_error(): get_function_tool_call("missing", ""), ], usage=Usage(), - referenceable_id=None, + response_id=None, ) with pytest.raises(ModelBehaviorError): @@ -132,7 +132,7 @@ async def test_multiple_tool_calls(): get_function_tool_call("test_2", "xyz"), ], usage=Usage(), - referenceable_id=None, + response_id=None, ) result = RunImpl.process_model_response( @@ -162,7 +162,7 @@ async def test_handoffs_parsed_correctly(): response = ModelResponse( output=[get_text_message("Hello, world!")], usage=Usage(), - referenceable_id=None, + response_id=None, ) result = RunImpl.process_model_response( agent=agent_3, @@ -176,7 +176,7 @@ async def test_handoffs_parsed_correctly(): response = ModelResponse( output=[get_text_message("Hello, world!"), get_handoff_tool_call(agent_1)], usage=Usage(), - referenceable_id=None, + response_id=None, ) result = RunImpl.process_model_response( agent=agent_3, @@ -205,7 +205,7 @@ async def test_missing_handoff_fails(): response = ModelResponse( output=[get_text_message("Hello, world!"), get_handoff_tool_call(agent_2)], usage=Usage(), - referenceable_id=None, + response_id=None, ) with pytest.raises(ModelBehaviorError): RunImpl.process_model_response( @@ -229,7 +229,7 @@ async def test_multiple_handoffs_doesnt_error(): get_handoff_tool_call(agent_2), ], usage=Usage(), - referenceable_id=None, + response_id=None, ) result = RunImpl.process_model_response( agent=agent_3, @@ -254,7 +254,7 @@ async def test_final_output_parsed_correctly(): get_final_output_message(Foo(bar="123").model_dump_json()), ], usage=Usage(), - referenceable_id=None, + response_id=None, ) RunImpl.process_model_response( @@ -281,7 +281,7 @@ async def test_file_search_tool_call_parsed_correctly(): response = ModelResponse( output=[get_text_message("hello"), file_search_call], usage=Usage(), - referenceable_id=None, + response_id=None, ) result = RunImpl.process_model_response( agent=agent, @@ -306,7 +306,7 @@ async def test_function_web_search_tool_call_parsed_correctly(): response = ModelResponse( output=[get_text_message("hello"), web_search_call], usage=Usage(), - referenceable_id=None, + response_id=None, ) result = RunImpl.process_model_response( agent=agent, @@ -333,7 +333,7 @@ async def test_reasoning_item_parsed_correctly(): response = ModelResponse( output=[reasoning], usage=Usage(), - referenceable_id=None, + response_id=None, ) result = RunImpl.process_model_response( agent=Agent(name="test"), @@ -401,7 +401,7 @@ async def test_computer_tool_call_without_computer_tool_raises_error(): response = ModelResponse( output=[computer_call], usage=Usage(), - referenceable_id=None, + response_id=None, ) with pytest.raises(ModelBehaviorError): RunImpl.process_model_response( @@ -430,7 +430,7 @@ async def test_computer_tool_call_with_computer_tool_parsed_correctly(): response = ModelResponse( output=[computer_call], usage=Usage(), - referenceable_id=None, + response_id=None, ) result = RunImpl.process_model_response( agent=agent, @@ -460,7 +460,7 @@ async def test_tool_and_handoff_parsed_correctly(): get_handoff_tool_call(agent_1), ], usage=Usage(), - referenceable_id=None, + response_id=None, ) result = RunImpl.process_model_response( From d6226059df2c4a3056fd9f33f3836286f0ded1c1 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 14 Apr 2025 17:55:42 -0400 Subject: [PATCH 055/337] Previous response id --- src/agents/items.py | 2 + src/agents/models/interface.py | 8 ++ src/agents/models/openai_chatcompletions.py | 3 + src/agents/models/openai_responses.py | 9 ++ src/agents/result.py | 8 ++ src/agents/run.py | 22 +++- tests/fake_model.py | 4 + tests/test_openai_chatcompletions.py | 3 + tests/test_openai_chatcompletions_stream.py | 3 + tests/test_responses_tracing.py | 108 +++++++++++++++++--- tests/voice/test_workflow.py | 4 + 11 files changed, 161 insertions(+), 13 deletions(-) diff --git a/src/agents/items.py b/src/agents/items.py index d72701abf..8fb2b52a3 100644 --- a/src/agents/items.py +++ b/src/agents/items.py @@ -169,6 +169,8 @@ class ModelResponse: response_id: str | None """An ID for the response which can be used to refer to the response in subsequent calls to the model. Not supported by all model providers. + If using OpenAI models via the Responses API, this is the `response_id` parameter, and it can + be passed to `Runner.run`. """ def to_input_items(self) -> list[TResponseInputItem]: diff --git a/src/agents/models/interface.py b/src/agents/models/interface.py index e9a8700ce..bcf2c1a65 100644 --- a/src/agents/models/interface.py +++ b/src/agents/models/interface.py @@ -44,6 +44,8 @@ async def get_response( output_schema: AgentOutputSchema | None, handoffs: list[Handoff], tracing: ModelTracing, + *, + previous_response_id: str | None, ) -> ModelResponse: """Get a response from the model. @@ -55,6 +57,8 @@ async def get_response( output_schema: The output schema to use. handoffs: The handoffs available to the model. tracing: Tracing configuration. + previous_response_id: the ID of the previous response. Generally not used by the model, + except for the OpenAI Responses API. Returns: The full model response. @@ -71,6 +75,8 @@ def stream_response( output_schema: AgentOutputSchema | None, handoffs: list[Handoff], tracing: ModelTracing, + *, + previous_response_id: str | None, ) -> AsyncIterator[TResponseStreamEvent]: """Stream a response from the model. @@ -82,6 +88,8 @@ def stream_response( output_schema: The output schema to use. handoffs: The handoffs available to the model. tracing: Tracing configuration. + previous_response_id: the ID of the previous response. Generally not used by the model, + except for the OpenAI Responses API. Returns: An iterator of response stream events, in OpenAI Responses format. diff --git a/src/agents/models/openai_chatcompletions.py b/src/agents/models/openai_chatcompletions.py index b60d5d6a8..c12fe68a1 100644 --- a/src/agents/models/openai_chatcompletions.py +++ b/src/agents/models/openai_chatcompletions.py @@ -108,6 +108,7 @@ async def get_response( output_schema: AgentOutputSchema | None, handoffs: list[Handoff], tracing: ModelTracing, + previous_response_id: str | None, ) -> ModelResponse: with generation_span( model=str(self.model), @@ -168,6 +169,8 @@ async def stream_response( output_schema: AgentOutputSchema | None, handoffs: list[Handoff], tracing: ModelTracing, + *, + previous_response_id: str | None, ) -> AsyncIterator[TResponseStreamEvent]: """ Yields a partial message as it is generated, as well as the usage information. diff --git a/src/agents/models/openai_responses.py b/src/agents/models/openai_responses.py index e509d6f8b..ab4617d46 100644 --- a/src/agents/models/openai_responses.py +++ b/src/agents/models/openai_responses.py @@ -69,6 +69,7 @@ async def get_response( output_schema: AgentOutputSchema | None, handoffs: list[Handoff], tracing: ModelTracing, + previous_response_id: str | None, ) -> ModelResponse: with response_span(disabled=tracing.is_disabled()) as span_response: try: @@ -79,6 +80,7 @@ async def get_response( tools, output_schema, handoffs, + previous_response_id, stream=False, ) @@ -132,6 +134,7 @@ async def stream_response( output_schema: AgentOutputSchema | None, handoffs: list[Handoff], tracing: ModelTracing, + previous_response_id: str | None, ) -> AsyncIterator[ResponseStreamEvent]: """ Yields a partial message as it is generated, as well as the usage information. @@ -145,6 +148,7 @@ async def stream_response( tools, output_schema, handoffs, + previous_response_id, stream=True, ) @@ -180,6 +184,7 @@ async def _fetch_response( tools: list[Tool], output_schema: AgentOutputSchema | None, handoffs: list[Handoff], + previous_response_id: str | None, stream: Literal[True], ) -> AsyncStream[ResponseStreamEvent]: ... @@ -192,6 +197,7 @@ async def _fetch_response( tools: list[Tool], output_schema: AgentOutputSchema | None, handoffs: list[Handoff], + previous_response_id: str | None, stream: Literal[False], ) -> Response: ... @@ -203,6 +209,7 @@ async def _fetch_response( tools: list[Tool], output_schema: AgentOutputSchema | None, handoffs: list[Handoff], + previous_response_id: str | None, stream: Literal[True] | Literal[False] = False, ) -> Response | AsyncStream[ResponseStreamEvent]: list_input = ItemHelpers.input_to_new_input_list(input) @@ -229,9 +236,11 @@ async def _fetch_response( f"Stream: {stream}\n" f"Tool choice: {tool_choice}\n" f"Response format: {response_format}\n" + f"Previous response id: {previous_response_id}\n" ) return await self._client.responses.create( + previous_response_id=self._non_null_or_not_given(previous_response_id), instructions=self._non_null_or_not_given(system_instructions), model=self.model, input=list_input, diff --git a/src/agents/result.py b/src/agents/result.py index 40a648067..a2a6cc4a5 100644 --- a/src/agents/result.py +++ b/src/agents/result.py @@ -80,6 +80,14 @@ def to_input_list(self) -> list[TResponseInputItem]: return original_items + new_items + @property + def last_response_id(self) -> str | None: + """Convenience method to get the response ID of the last model response.""" + if not self.raw_responses: + return None + + return self.raw_responses[-1].response_id + @dataclass class RunResult(RunResultBase): diff --git a/src/agents/run.py b/src/agents/run.py index 93e6490c1..e2b0dbceb 100644 --- a/src/agents/run.py +++ b/src/agents/run.py @@ -117,6 +117,7 @@ async def run( max_turns: int = DEFAULT_MAX_TURNS, hooks: RunHooks[TContext] | None = None, run_config: RunConfig | None = None, + previous_response_id: str | None = None, ) -> RunResult: """Run a workflow starting at the given agent. The agent will run in a loop until a final output is generated. The loop runs like so: @@ -141,6 +142,8 @@ async def run( AI invocation (including any tool calls that might occur). hooks: An object that receives callbacks on various lifecycle events. run_config: Global settings for the entire agent run. + previous_response_id: The ID of the previous response, if using OpenAI models via the + Responses API, this allows you to skip passing in input from the previous turn. Returns: A run result containing all the inputs, guardrail results and the output of the last @@ -230,6 +233,7 @@ async def run( run_config=run_config, should_run_agent_start_hooks=should_run_agent_start_hooks, tool_use_tracker=tool_use_tracker, + previous_response_id=previous_response_id, ), ) else: @@ -243,6 +247,7 @@ async def run( run_config=run_config, should_run_agent_start_hooks=should_run_agent_start_hooks, tool_use_tracker=tool_use_tracker, + previous_response_id=previous_response_id, ) should_run_agent_start_hooks = False @@ -291,6 +296,7 @@ def run_sync( max_turns: int = DEFAULT_MAX_TURNS, hooks: RunHooks[TContext] | None = None, run_config: RunConfig | None = None, + previous_response_id: str | None = None, ) -> RunResult: """Run a workflow synchronously, starting at the given agent. Note that this just wraps the `run` method, so it will not work if there's already an event loop (e.g. inside an async @@ -319,6 +325,8 @@ def run_sync( AI invocation (including any tool calls that might occur). hooks: An object that receives callbacks on various lifecycle events. run_config: Global settings for the entire agent run. + previous_response_id: The ID of the previous response, if using OpenAI models via the + Responses API, this allows you to skip passing in input from the previous turn. Returns: A run result containing all the inputs, guardrail results and the output of the last @@ -332,6 +340,7 @@ def run_sync( max_turns=max_turns, hooks=hooks, run_config=run_config, + previous_response_id=previous_response_id, ) ) @@ -344,6 +353,7 @@ def run_streamed( max_turns: int = DEFAULT_MAX_TURNS, hooks: RunHooks[TContext] | None = None, run_config: RunConfig | None = None, + previous_response_id: str | None = None, ) -> RunResultStreaming: """Run a workflow starting at the given agent in streaming mode. The returned result object contains a method you can use to stream semantic events as they are generated. @@ -370,7 +380,8 @@ def run_streamed( AI invocation (including any tool calls that might occur). hooks: An object that receives callbacks on various lifecycle events. run_config: Global settings for the entire agent run. - + previous_response_id: The ID of the previous response, if using OpenAI models via the + Responses API, this allows you to skip passing in input from the previous turn. Returns: A result object that contains data about the run, as well as a method to stream events. """ @@ -428,6 +439,7 @@ def run_streamed( hooks=hooks, context_wrapper=context_wrapper, run_config=run_config, + previous_response_id=previous_response_id, ) ) return streamed_result @@ -485,6 +497,7 @@ async def _run_streamed_impl( hooks: RunHooks[TContext], context_wrapper: RunContextWrapper[TContext], run_config: RunConfig, + previous_response_id: str | None, ): current_span: Span[AgentSpanData] | None = None current_agent = starting_agent @@ -554,6 +567,7 @@ async def _run_streamed_impl( should_run_agent_start_hooks, tool_use_tracker, all_tools, + previous_response_id, ) should_run_agent_start_hooks = False @@ -623,6 +637,7 @@ async def _run_single_turn_streamed( should_run_agent_start_hooks: bool, tool_use_tracker: AgentToolUseTracker, all_tools: list[Tool], + previous_response_id: str | None, ) -> SingleStepResult: if should_run_agent_start_hooks: await asyncio.gather( @@ -662,6 +677,7 @@ async def _run_single_turn_streamed( get_model_tracing_impl( run_config.tracing_disabled, run_config.trace_include_sensitive_data ), + previous_response_id=previous_response_id, ): if isinstance(event, ResponseCompletedEvent): usage = ( @@ -717,6 +733,7 @@ async def _run_single_turn( run_config: RunConfig, should_run_agent_start_hooks: bool, tool_use_tracker: AgentToolUseTracker, + previous_response_id: str | None, ) -> SingleStepResult: # Ensure we run the hooks before anything else if should_run_agent_start_hooks: @@ -746,6 +763,7 @@ async def _run_single_turn( context_wrapper, run_config, tool_use_tracker, + previous_response_id, ) return await cls._get_single_step_result_from_response( @@ -888,6 +906,7 @@ async def _get_new_response( context_wrapper: RunContextWrapper[TContext], run_config: RunConfig, tool_use_tracker: AgentToolUseTracker, + previous_response_id: str | None, ) -> ModelResponse: model = cls._get_model(agent, run_config) model_settings = agent.model_settings.resolve(run_config.model_settings) @@ -903,6 +922,7 @@ async def _get_new_response( tracing=get_model_tracing_impl( run_config.tracing_disabled, run_config.trace_include_sensitive_data ), + previous_response_id=previous_response_id, ) context_wrapper.usage.add(new_response.usage) diff --git a/tests/fake_model.py b/tests/fake_model.py index 61fb5951e..203479d0e 100644 --- a/tests/fake_model.py +++ b/tests/fake_model.py @@ -54,6 +54,8 @@ async def get_response( output_schema: AgentOutputSchema | None, handoffs: list[Handoff], tracing: ModelTracing, + *, + previous_response_id: str | None, ) -> ModelResponse: self.last_turn_args = { "system_instructions": system_instructions, @@ -93,6 +95,8 @@ async def stream_response( output_schema: AgentOutputSchema | None, handoffs: list[Handoff], tracing: ModelTracing, + *, + previous_response_id: str | None, ) -> AsyncIterator[TResponseStreamEvent]: with generation_span(disabled=not self.tracing_enabled) as span: output = self.get_next_output() diff --git a/tests/test_openai_chatcompletions.py b/tests/test_openai_chatcompletions.py index 3608fc571..92d65fda1 100644 --- a/tests/test_openai_chatcompletions.py +++ b/tests/test_openai_chatcompletions.py @@ -67,6 +67,7 @@ async def patched_fetch_response(self, *args, **kwargs): output_schema=None, handoffs=[], tracing=ModelTracing.DISABLED, + previous_response_id=None, ) # Should have produced exactly one output message with one text part assert isinstance(resp, ModelResponse) @@ -115,6 +116,7 @@ async def patched_fetch_response(self, *args, **kwargs): output_schema=None, handoffs=[], tracing=ModelTracing.DISABLED, + previous_response_id=None, ) assert len(resp.output) == 1 assert isinstance(resp.output[0], ResponseOutputMessage) @@ -164,6 +166,7 @@ async def patched_fetch_response(self, *args, **kwargs): output_schema=None, handoffs=[], tracing=ModelTracing.DISABLED, + previous_response_id=None, ) # Expect a message item followed by a function tool call item. assert len(resp.output) == 2 diff --git a/tests/test_openai_chatcompletions_stream.py b/tests/test_openai_chatcompletions_stream.py index 7add92a69..b82f24303 100644 --- a/tests/test_openai_chatcompletions_stream.py +++ b/tests/test_openai_chatcompletions_stream.py @@ -79,6 +79,7 @@ async def patched_fetch_response(self, *args, **kwargs): output_schema=None, handoffs=[], tracing=ModelTracing.DISABLED, + previous_response_id=None, ): output_events.append(event) # We expect a response.created, then a response.output_item.added, content part added, @@ -168,6 +169,7 @@ async def patched_fetch_response(self, *args, **kwargs): output_schema=None, handoffs=[], tracing=ModelTracing.DISABLED, + previous_response_id=None, ): output_events.append(event) # Expect sequence similar to text: created, output_item.added, content part added, @@ -255,6 +257,7 @@ async def patched_fetch_response(self, *args, **kwargs): output_schema=None, handoffs=[], tracing=ModelTracing.DISABLED, + previous_response_id=None, ): output_events.append(event) # Sequence should be: response.created, then after loop we expect function call-related events: diff --git a/tests/test_responses_tracing.py b/tests/test_responses_tracing.py index 40bdfafbb..0bc97a953 100644 --- a/tests/test_responses_tracing.py +++ b/tests/test_responses_tracing.py @@ -44,7 +44,14 @@ async def test_get_response_creates_trace(monkeypatch): # Mock _fetch_response to return a dummy response with a known id async def dummy_fetch_response( - system_instructions, input, model_settings, tools, output_schema, handoffs, stream + system_instructions, + input, + model_settings, + tools, + output_schema, + handoffs, + prev_response_id, + stream, ): return DummyResponse() @@ -52,7 +59,14 @@ async def dummy_fetch_response( # Call get_response await model.get_response( - "instr", "input", ModelSettings(), [], None, [], ModelTracing.ENABLED + "instr", + "input", + ModelSettings(), + [], + None, + [], + ModelTracing.ENABLED, + previous_response_id=None, ) assert fetch_normalized_spans() == snapshot( @@ -74,7 +88,14 @@ async def test_non_data_tracing_doesnt_set_response_id(monkeypatch): # Mock _fetch_response to return a dummy response with a known id async def dummy_fetch_response( - system_instructions, input, model_settings, tools, output_schema, handoffs, stream + system_instructions, + input, + model_settings, + tools, + output_schema, + handoffs, + prev_response_id, + stream, ): return DummyResponse() @@ -82,7 +103,14 @@ async def dummy_fetch_response( # Call get_response await model.get_response( - "instr", "input", ModelSettings(), [], None, [], ModelTracing.ENABLED_WITHOUT_DATA + "instr", + "input", + ModelSettings(), + [], + None, + [], + ModelTracing.ENABLED_WITHOUT_DATA, + previous_response_id=None, ) assert fetch_normalized_spans() == snapshot( @@ -102,7 +130,14 @@ async def test_disable_tracing_does_not_create_span(monkeypatch): # Mock _fetch_response to return a dummy response with a known id async def dummy_fetch_response( - system_instructions, input, model_settings, tools, output_schema, handoffs, stream + system_instructions, + input, + model_settings, + tools, + output_schema, + handoffs, + prev_response_id, + stream, ): return DummyResponse() @@ -110,7 +145,14 @@ async def dummy_fetch_response( # Call get_response await model.get_response( - "instr", "input", ModelSettings(), [], None, [], ModelTracing.DISABLED + "instr", + "input", + ModelSettings(), + [], + None, + [], + ModelTracing.DISABLED, + previous_response_id=None, ) assert fetch_normalized_spans() == snapshot([{"workflow_name": "test"}]) @@ -127,7 +169,14 @@ async def test_stream_response_creates_trace(monkeypatch): # Define a dummy fetch function that returns an async stream with a dummy response async def dummy_fetch_response( - system_instructions, input, model_settings, tools, output_schema, handoffs, stream + system_instructions, + input, + model_settings, + tools, + output_schema, + handoffs, + prev_response_id, + stream, ): class DummyStream: async def __aiter__(self): @@ -142,7 +191,14 @@ async def __aiter__(self): # Consume the stream to trigger processing of the final response async for _ in model.stream_response( - "instr", "input", ModelSettings(), [], None, [], ModelTracing.ENABLED + "instr", + "input", + ModelSettings(), + [], + None, + [], + ModelTracing.ENABLED, + previous_response_id=None, ): pass @@ -165,7 +221,14 @@ async def test_stream_non_data_tracing_doesnt_set_response_id(monkeypatch): # Define a dummy fetch function that returns an async stream with a dummy response async def dummy_fetch_response( - system_instructions, input, model_settings, tools, output_schema, handoffs, stream + system_instructions, + input, + model_settings, + tools, + output_schema, + handoffs, + prev_response_id, + stream, ): class DummyStream: async def __aiter__(self): @@ -180,7 +243,14 @@ async def __aiter__(self): # Consume the stream to trigger processing of the final response async for _ in model.stream_response( - "instr", "input", ModelSettings(), [], None, [], ModelTracing.ENABLED_WITHOUT_DATA + "instr", + "input", + ModelSettings(), + [], + None, + [], + ModelTracing.ENABLED_WITHOUT_DATA, + previous_response_id=None, ): pass @@ -202,7 +272,14 @@ async def test_stream_disabled_tracing_doesnt_create_span(monkeypatch): # Define a dummy fetch function that returns an async stream with a dummy response async def dummy_fetch_response( - system_instructions, input, model_settings, tools, output_schema, handoffs, stream + system_instructions, + input, + model_settings, + tools, + output_schema, + handoffs, + prev_response_id, + stream, ): class DummyStream: async def __aiter__(self): @@ -217,7 +294,14 @@ async def __aiter__(self): # Consume the stream to trigger processing of the final response async for _ in model.stream_response( - "instr", "input", ModelSettings(), [], None, [], ModelTracing.DISABLED + "instr", + "input", + ModelSettings(), + [], + None, + [], + ModelTracing.DISABLED, + previous_response_id=None, ): pass diff --git a/tests/voice/test_workflow.py b/tests/voice/test_workflow.py index 3f18c0498..72a3370d3 100644 --- a/tests/voice/test_workflow.py +++ b/tests/voice/test_workflow.py @@ -51,6 +51,8 @@ async def get_response( output_schema: AgentOutputSchema | None, handoffs: list[Handoff], tracing: ModelTracing, + *, + previous_response_id: str | None, ) -> ModelResponse: raise NotImplementedError("Not implemented") @@ -63,6 +65,8 @@ async def stream_response( output_schema: AgentOutputSchema | None, handoffs: list[Handoff], tracing: ModelTracing, + *, + previous_response_id: str | None, ) -> AsyncIterator[TResponseStreamEvent]: output = self.get_next_output() for item in output: From e0f2b46ed77f2ac2b5c93c6c9ffae687c083e149 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 14 Apr 2025 21:50:38 -0400 Subject: [PATCH 056/337] Examples and tests for previous_response_id --- examples/basic/previous_response_id.py | 66 ++++++++++++++++++++++++++ 1 file changed, 66 insertions(+) create mode 100644 examples/basic/previous_response_id.py diff --git a/examples/basic/previous_response_id.py b/examples/basic/previous_response_id.py new file mode 100644 index 000000000..b00bf3aa6 --- /dev/null +++ b/examples/basic/previous_response_id.py @@ -0,0 +1,66 @@ +import asyncio + +from agents import Agent, Runner + +"""This demonstrates usage of the `previous_response_id` parameter to continue a conversation. +The second run passes the previous response ID to the model, which allows it to continue the +conversation without re-sending the previous messages. + +Notes: +1. This only applies to the OpenAI Responses API. Other models will ignore this parameter. +2. Responses are only stored for 30 days as of this writing, so in production you should +store the response ID along with an expiration date; if the response is no longer valid, +you'll need to re-send the previous conversation history. +""" + + +async def main(): + agent = Agent( + name="Assistant", + instructions="You are a helpful assistant. be VERY concise.", + ) + + result = await Runner.run(agent, "What is the largest country in South America?") + print(result.final_output) + # Brazil + + result = await Runner.run( + agent, + "What is the capital of that country?", + previous_response_id=result.last_response_id, + ) + print(result.final_output) + # Brasilia + + +async def main_stream(): + agent = Agent( + name="Assistant", + instructions="You are a helpful assistant. be VERY concise.", + ) + + result = Runner.run_streamed(agent, "What is the largest country in South America?") + + async for event in result.stream_events(): + if event.type == "raw_response_event" and event.data.type == "response.output_text.delta": + print(event.data.delta, end="", flush=True) + + print() + + result = Runner.run_streamed( + agent, + "What is the capital of that country?", + previous_response_id=result.last_response_id, + ) + + async for event in result.stream_events(): + if event.type == "raw_response_event" and event.data.type == "response.output_text.delta": + print(event.data.delta, end="", flush=True) + + +if __name__ == "__main__": + is_stream = input("Run in stream mode? (y/n): ") + if is_stream == "y": + asyncio.run(main_stream()) + else: + asyncio.run(main()) From c397c40e9cc8e94e9e0dfe4075730505b5827d90 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 14 Apr 2025 21:50:38 -0400 Subject: [PATCH 057/337] Examples and tests for previous_response_id --- examples/basic/previous_response_id.py | 66 ++++++++++++++++++++ tests/fake_model.py | 9 +++ tests/test_agent_runner.py | 83 ++++++++++++++++++++++++++ 3 files changed, 158 insertions(+) create mode 100644 examples/basic/previous_response_id.py diff --git a/examples/basic/previous_response_id.py b/examples/basic/previous_response_id.py new file mode 100644 index 000000000..b00bf3aa6 --- /dev/null +++ b/examples/basic/previous_response_id.py @@ -0,0 +1,66 @@ +import asyncio + +from agents import Agent, Runner + +"""This demonstrates usage of the `previous_response_id` parameter to continue a conversation. +The second run passes the previous response ID to the model, which allows it to continue the +conversation without re-sending the previous messages. + +Notes: +1. This only applies to the OpenAI Responses API. Other models will ignore this parameter. +2. Responses are only stored for 30 days as of this writing, so in production you should +store the response ID along with an expiration date; if the response is no longer valid, +you'll need to re-send the previous conversation history. +""" + + +async def main(): + agent = Agent( + name="Assistant", + instructions="You are a helpful assistant. be VERY concise.", + ) + + result = await Runner.run(agent, "What is the largest country in South America?") + print(result.final_output) + # Brazil + + result = await Runner.run( + agent, + "What is the capital of that country?", + previous_response_id=result.last_response_id, + ) + print(result.final_output) + # Brasilia + + +async def main_stream(): + agent = Agent( + name="Assistant", + instructions="You are a helpful assistant. be VERY concise.", + ) + + result = Runner.run_streamed(agent, "What is the largest country in South America?") + + async for event in result.stream_events(): + if event.type == "raw_response_event" and event.data.type == "response.output_text.delta": + print(event.data.delta, end="", flush=True) + + print() + + result = Runner.run_streamed( + agent, + "What is the capital of that country?", + previous_response_id=result.last_response_id, + ) + + async for event in result.stream_events(): + if event.type == "raw_response_event" and event.data.type == "response.output_text.delta": + print(event.data.delta, end="", flush=True) + + +if __name__ == "__main__": + is_stream = input("Run in stream mode? (y/n): ") + if is_stream == "y": + asyncio.run(main_stream()) + else: + asyncio.run(main()) diff --git a/tests/fake_model.py b/tests/fake_model.py index 203479d0e..52d3a3b2b 100644 --- a/tests/fake_model.py +++ b/tests/fake_model.py @@ -63,6 +63,7 @@ async def get_response( "model_settings": model_settings, "tools": tools, "output_schema": output_schema, + "previous_response_id": previous_response_id, } with generation_span(disabled=not self.tracing_enabled) as span: @@ -98,6 +99,14 @@ async def stream_response( *, previous_response_id: str | None, ) -> AsyncIterator[TResponseStreamEvent]: + self.last_turn_args = { + "system_instructions": system_instructions, + "input": input, + "model_settings": model_settings, + "tools": tools, + "output_schema": output_schema, + "previous_response_id": previous_response_id, + } with generation_span(disabled=not self.tracing_enabled) as span: output = self.get_next_output() if isinstance(output, Exception): diff --git a/tests/test_agent_runner.py b/tests/test_agent_runner.py index 4f2776568..14a278a90 100644 --- a/tests/test_agent_runner.py +++ b/tests/test_agent_runner.py @@ -662,3 +662,86 @@ async def test_model_settings_override(): # temperature is overridden by Runner.run, but max_tokens is not assert model.last_turn_args["model_settings"].temperature == 0.5 assert model.last_turn_args["model_settings"].max_tokens == 1000 + + +@pytest.mark.asyncio +async def test_previous_response_id_passed_between_runs(): + """Test that previous_response_id is passed to the model on subsequent runs.""" + model = FakeModel() + model.set_next_output([get_text_message("done")]) + agent = Agent(name="test", model=model) + + assert model.last_turn_args.get("previous_response_id") is None + await Runner.run(agent, input="test", previous_response_id="resp-non-streamed-test") + assert model.last_turn_args.get("previous_response_id") == "resp-non-streamed-test" + + +@pytest.mark.asyncio +async def test_multi_turn_previous_response_id_passed_between_runs(): + """Test that previous_response_id is passed to the model on subsequent runs.""" + + model = FakeModel() + agent = Agent( + name="test", + model=model, + tools=[get_function_tool("foo", "tool_result")], + ) + + model.add_multiple_turn_outputs( + [ + # First turn: a message and tool call + [get_text_message("a_message"), get_function_tool_call("foo", json.dumps({"a": "b"}))], + # Second turn: text message + [get_text_message("done")], + ] + ) + + assert model.last_turn_args.get("previous_response_id") is None + await Runner.run(agent, input="test", previous_response_id="resp-test-123") + assert model.last_turn_args.get("previous_response_id") == "resp-test-123" + + +@pytest.mark.asyncio +async def test_previous_response_id_passed_between_runs_streamed(): + """Test that previous_response_id is passed to the model on subsequent streamed runs.""" + model = FakeModel() + model.set_next_output([get_text_message("done")]) + agent = Agent( + name="test", + model=model, + ) + + assert model.last_turn_args.get("previous_response_id") is None + result = Runner.run_streamed(agent, input="test", previous_response_id="resp-stream-test") + async for _ in result.stream_events(): + pass + + assert model.last_turn_args.get("previous_response_id") == "resp-stream-test" + + +@pytest.mark.asyncio +async def test_previous_response_id_passed_between_runs_streamed_multi_turn(): + """Test that previous_response_id is passed to the model on subsequent streamed runs.""" + + model = FakeModel() + agent = Agent( + name="test", + model=model, + tools=[get_function_tool("foo", "tool_result")], + ) + + model.add_multiple_turn_outputs( + [ + # First turn: a message and tool call + [get_text_message("a_message"), get_function_tool_call("foo", json.dumps({"a": "b"}))], + # Second turn: text message + [get_text_message("done")], + ] + ) + + assert model.last_turn_args.get("previous_response_id") is None + result = Runner.run_streamed(agent, input="test", previous_response_id="resp-stream-test") + async for _ in result.stream_events(): + pass + + assert model.last_turn_args.get("previous_response_id") == "resp-stream-test" From b967a34974e3f50b707a3ca45c48b05ca9abce50 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 14 Apr 2025 22:34:04 -0400 Subject: [PATCH 058/337] v0.0.10 --- pyproject.toml | 2 +- uv.lock | 9 ++++----- 2 files changed, 5 insertions(+), 6 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 251a6ab55..c3e46a66a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "openai-agents" -version = "0.0.9" +version = "0.0.10" description = "OpenAI Agents SDK" readme = "README.md" requires-python = ">=3.9" diff --git a/uv.lock b/uv.lock index a762c723e..1212f790d 100644 --- a/uv.lock +++ b/uv.lock @@ -1108,13 +1108,11 @@ wheels = [ [[package]] name = "openai-agents" -version = "0.0.9" +version = "0.0.10" source = { editable = "." } dependencies = [ - { name = "eval-type-backport" }, { name = "griffe" }, { name = "mcp", marker = "python_full_version >= '3.10'" }, - { name = "mkdocs-static-i18n" }, { name = "openai" }, { name = "pydantic" }, { name = "requests" }, @@ -1134,6 +1132,7 @@ voice = [ [package.dev-dependencies] dev = [ { name = "coverage" }, + { name = "eval-type-backport" }, { name = "graphviz" }, { name = "inline-snapshot" }, { name = "mkdocs" }, @@ -1156,11 +1155,9 @@ dev = [ [package.metadata] requires-dist = [ - { name = "eval-type-backport", specifier = ">=0.2.2" }, { name = "graphviz", marker = "extra == 'viz'", specifier = ">=0.17" }, { name = "griffe", specifier = ">=1.5.6,<2" }, { name = "mcp", marker = "python_full_version >= '3.10'", specifier = ">=1.6.0,<2" }, - { name = "mkdocs-static-i18n", specifier = ">=1.3.0" }, { name = "numpy", marker = "python_full_version >= '3.10' and extra == 'voice'", specifier = ">=2.2.0,<3" }, { name = "openai", specifier = ">=1.66.5" }, { name = "pydantic", specifier = ">=2.10,<3" }, @@ -1174,11 +1171,13 @@ provides-extras = ["voice", "viz"] [package.metadata.requires-dev] dev = [ { name = "coverage", specifier = ">=7.6.12" }, + { name = "eval-type-backport", specifier = ">=0.2.2" }, { name = "graphviz" }, { name = "inline-snapshot", specifier = ">=0.20.7" }, { name = "mkdocs", specifier = ">=1.6.0" }, { name = "mkdocs-material", specifier = ">=9.6.0" }, { name = "mkdocs-static-i18n" }, + { name = "mkdocs-static-i18n", specifier = ">=1.3.0" }, { name = "mkdocstrings", extras = ["python"], specifier = ">=0.28.0" }, { name = "mypy" }, { name = "playwright", specifier = "==1.50.0" }, From 1f0ba4770b8f67d978afb0ff802b86af5e6cfb43 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 15 Apr 2025 12:43:28 -0400 Subject: [PATCH 059/337] Only include stream_options when streaming --- src/agents/models/openai_chatcompletions.py | 9 +++++++-- 1 file changed, 7 insertions(+), 2 deletions(-) diff --git a/src/agents/models/openai_chatcompletions.py b/src/agents/models/openai_chatcompletions.py index 712a79987..a4f93cb71 100644 --- a/src/agents/models/openai_chatcompletions.py +++ b/src/agents/models/openai_chatcompletions.py @@ -528,7 +528,9 @@ async def _fetch_response( reasoning_effort = model_settings.reasoning.effort if model_settings.reasoning else None store = _Converter.get_store_param(self._get_client(), model_settings) - stream_options = _Converter.get_stream_options_param(self._get_client(), model_settings) + stream_options = _Converter.get_stream_options_param( + self._get_client(), model_settings, stream=stream + ) ret = await self._get_client().chat.completions.create( model=self.model, @@ -591,8 +593,11 @@ def get_store_param(cls, client: AsyncOpenAI, model_settings: ModelSettings) -> @classmethod def get_stream_options_param( - cls, client: AsyncOpenAI, model_settings: ModelSettings + cls, client: AsyncOpenAI, model_settings: ModelSettings, stream: bool ) -> dict[str, bool] | None: + if not stream: + return None + default_include_usage = True if cls.is_openai(client) else None include_usage = ( model_settings.include_usage From 34fdf0a0aaa512b926db1c9d689b49ea61c6b9b6 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 15 Apr 2025 12:45:02 -0400 Subject: [PATCH 060/337] Examples and tests for previous_response_id --- examples/basic/previous_response_id.py | 66 ++++++++++++++++++++ tests/fake_model.py | 9 +++ tests/test_agent_runner.py | 83 ++++++++++++++++++++++++++ 3 files changed, 158 insertions(+) create mode 100644 examples/basic/previous_response_id.py diff --git a/examples/basic/previous_response_id.py b/examples/basic/previous_response_id.py new file mode 100644 index 000000000..b00bf3aa6 --- /dev/null +++ b/examples/basic/previous_response_id.py @@ -0,0 +1,66 @@ +import asyncio + +from agents import Agent, Runner + +"""This demonstrates usage of the `previous_response_id` parameter to continue a conversation. +The second run passes the previous response ID to the model, which allows it to continue the +conversation without re-sending the previous messages. + +Notes: +1. This only applies to the OpenAI Responses API. Other models will ignore this parameter. +2. Responses are only stored for 30 days as of this writing, so in production you should +store the response ID along with an expiration date; if the response is no longer valid, +you'll need to re-send the previous conversation history. +""" + + +async def main(): + agent = Agent( + name="Assistant", + instructions="You are a helpful assistant. be VERY concise.", + ) + + result = await Runner.run(agent, "What is the largest country in South America?") + print(result.final_output) + # Brazil + + result = await Runner.run( + agent, + "What is the capital of that country?", + previous_response_id=result.last_response_id, + ) + print(result.final_output) + # Brasilia + + +async def main_stream(): + agent = Agent( + name="Assistant", + instructions="You are a helpful assistant. be VERY concise.", + ) + + result = Runner.run_streamed(agent, "What is the largest country in South America?") + + async for event in result.stream_events(): + if event.type == "raw_response_event" and event.data.type == "response.output_text.delta": + print(event.data.delta, end="", flush=True) + + print() + + result = Runner.run_streamed( + agent, + "What is the capital of that country?", + previous_response_id=result.last_response_id, + ) + + async for event in result.stream_events(): + if event.type == "raw_response_event" and event.data.type == "response.output_text.delta": + print(event.data.delta, end="", flush=True) + + +if __name__ == "__main__": + is_stream = input("Run in stream mode? (y/n): ") + if is_stream == "y": + asyncio.run(main_stream()) + else: + asyncio.run(main()) diff --git a/tests/fake_model.py b/tests/fake_model.py index 203479d0e..52d3a3b2b 100644 --- a/tests/fake_model.py +++ b/tests/fake_model.py @@ -63,6 +63,7 @@ async def get_response( "model_settings": model_settings, "tools": tools, "output_schema": output_schema, + "previous_response_id": previous_response_id, } with generation_span(disabled=not self.tracing_enabled) as span: @@ -98,6 +99,14 @@ async def stream_response( *, previous_response_id: str | None, ) -> AsyncIterator[TResponseStreamEvent]: + self.last_turn_args = { + "system_instructions": system_instructions, + "input": input, + "model_settings": model_settings, + "tools": tools, + "output_schema": output_schema, + "previous_response_id": previous_response_id, + } with generation_span(disabled=not self.tracing_enabled) as span: output = self.get_next_output() if isinstance(output, Exception): diff --git a/tests/test_agent_runner.py b/tests/test_agent_runner.py index 4f2776568..14a278a90 100644 --- a/tests/test_agent_runner.py +++ b/tests/test_agent_runner.py @@ -662,3 +662,86 @@ async def test_model_settings_override(): # temperature is overridden by Runner.run, but max_tokens is not assert model.last_turn_args["model_settings"].temperature == 0.5 assert model.last_turn_args["model_settings"].max_tokens == 1000 + + +@pytest.mark.asyncio +async def test_previous_response_id_passed_between_runs(): + """Test that previous_response_id is passed to the model on subsequent runs.""" + model = FakeModel() + model.set_next_output([get_text_message("done")]) + agent = Agent(name="test", model=model) + + assert model.last_turn_args.get("previous_response_id") is None + await Runner.run(agent, input="test", previous_response_id="resp-non-streamed-test") + assert model.last_turn_args.get("previous_response_id") == "resp-non-streamed-test" + + +@pytest.mark.asyncio +async def test_multi_turn_previous_response_id_passed_between_runs(): + """Test that previous_response_id is passed to the model on subsequent runs.""" + + model = FakeModel() + agent = Agent( + name="test", + model=model, + tools=[get_function_tool("foo", "tool_result")], + ) + + model.add_multiple_turn_outputs( + [ + # First turn: a message and tool call + [get_text_message("a_message"), get_function_tool_call("foo", json.dumps({"a": "b"}))], + # Second turn: text message + [get_text_message("done")], + ] + ) + + assert model.last_turn_args.get("previous_response_id") is None + await Runner.run(agent, input="test", previous_response_id="resp-test-123") + assert model.last_turn_args.get("previous_response_id") == "resp-test-123" + + +@pytest.mark.asyncio +async def test_previous_response_id_passed_between_runs_streamed(): + """Test that previous_response_id is passed to the model on subsequent streamed runs.""" + model = FakeModel() + model.set_next_output([get_text_message("done")]) + agent = Agent( + name="test", + model=model, + ) + + assert model.last_turn_args.get("previous_response_id") is None + result = Runner.run_streamed(agent, input="test", previous_response_id="resp-stream-test") + async for _ in result.stream_events(): + pass + + assert model.last_turn_args.get("previous_response_id") == "resp-stream-test" + + +@pytest.mark.asyncio +async def test_previous_response_id_passed_between_runs_streamed_multi_turn(): + """Test that previous_response_id is passed to the model on subsequent streamed runs.""" + + model = FakeModel() + agent = Agent( + name="test", + model=model, + tools=[get_function_tool("foo", "tool_result")], + ) + + model.add_multiple_turn_outputs( + [ + # First turn: a message and tool call + [get_text_message("a_message"), get_function_tool_call("foo", json.dumps({"a": "b"}))], + # Second turn: text message + [get_text_message("done")], + ] + ) + + assert model.last_turn_args.get("previous_response_id") is None + result = Runner.run_streamed(agent, input="test", previous_response_id="resp-stream-test") + async for _ in result.stream_events(): + pass + + assert model.last_turn_args.get("previous_response_id") == "resp-stream-test" From 87379473a5d04b6602104667c26e46df52ede852 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 15 Apr 2025 12:48:54 -0400 Subject: [PATCH 061/337] v0.0.11 --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index c3e46a66a..1eefadd93 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "openai-agents" -version = "0.0.10" +version = "0.0.11" description = "OpenAI Agents SDK" readme = "README.md" requires-python = ">=3.9" From 1d5eb9839fd58ede1079ae0299eb597018b679cf Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 15 Apr 2025 12:49:11 -0400 Subject: [PATCH 062/337] v0.0.11 --- pyproject.toml | 2 +- uv.lock | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index c3e46a66a..1eefadd93 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "openai-agents" -version = "0.0.10" +version = "0.0.11" description = "OpenAI Agents SDK" readme = "README.md" requires-python = ">=3.9" diff --git a/uv.lock b/uv.lock index 1212f790d..d4b825461 100644 --- a/uv.lock +++ b/uv.lock @@ -1108,7 +1108,7 @@ wheels = [ [[package]] name = "openai-agents" -version = "0.0.10" +version = "0.0.11" source = { editable = "." } dependencies = [ { name = "griffe" }, From b44009a3b49bd976e3851d832d7ac6697cec9cb1 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 15 Apr 2025 18:25:09 -0400 Subject: [PATCH 063/337] Run CI on all commits, not just ones on main --- .github/workflows/tests.yml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml index 4f93980a2..edd0d898b 100644 --- a/.github/workflows/tests.yml +++ b/.github/workflows/tests.yml @@ -5,8 +5,7 @@ on: branches: - main pull_request: - branches: - - main + # All PRs, including stacked PRs env: UV_FROZEN: "1" From 7f20dd0d65f33995b62d2d413c6d161fd848464a Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 15 Apr 2025 18:27:01 -0400 Subject: [PATCH 064/337] Extract chat completions conversion code into helper --- src/agents/models/chatcmpl_converter.py | 466 +++++++++++++++++ src/agents/models/openai_chatcompletions.py | 477 +----------------- tests/test_openai_chatcompletions.py | 14 +- .../test_openai_chatcompletions_converter.py | 74 +-- tests/test_tool_converter.py | 10 +- 5 files changed, 530 insertions(+), 511 deletions(-) create mode 100644 src/agents/models/chatcmpl_converter.py diff --git a/src/agents/models/chatcmpl_converter.py b/src/agents/models/chatcmpl_converter.py new file mode 100644 index 000000000..00175a16a --- /dev/null +++ b/src/agents/models/chatcmpl_converter.py @@ -0,0 +1,466 @@ +from __future__ import annotations + +import json +from collections.abc import Iterable +from typing import Any, Literal, cast + +from openai import NOT_GIVEN, NotGiven +from openai.types.chat import ( + ChatCompletionAssistantMessageParam, + ChatCompletionContentPartImageParam, + ChatCompletionContentPartParam, + ChatCompletionContentPartTextParam, + ChatCompletionDeveloperMessageParam, + ChatCompletionMessage, + ChatCompletionMessageParam, + ChatCompletionMessageToolCallParam, + ChatCompletionSystemMessageParam, + ChatCompletionToolChoiceOptionParam, + ChatCompletionToolMessageParam, + ChatCompletionUserMessageParam, +) +from openai.types.chat.chat_completion_tool_param import ChatCompletionToolParam +from openai.types.chat.completion_create_params import ResponseFormat +from openai.types.responses import ( + EasyInputMessageParam, + ResponseFileSearchToolCallParam, + ResponseFunctionToolCall, + ResponseFunctionToolCallParam, + ResponseInputContentParam, + ResponseInputImageParam, + ResponseInputTextParam, + ResponseOutputMessage, + ResponseOutputMessageParam, + ResponseOutputRefusal, + ResponseOutputText, +) +from openai.types.responses.response_input_param import FunctionCallOutput, ItemReference, Message + +from ..agent_output import AgentOutputSchema +from ..exceptions import AgentsException, UserError +from ..handoffs import Handoff +from ..items import TResponseInputItem, TResponseOutputItem +from ..tool import FunctionTool, Tool +from .fake_id import FAKE_RESPONSES_ID + + +class Converter: + @classmethod + def convert_tool_choice( + cls, tool_choice: Literal["auto", "required", "none"] | str | None + ) -> ChatCompletionToolChoiceOptionParam | NotGiven: + if tool_choice is None: + return NOT_GIVEN + elif tool_choice == "auto": + return "auto" + elif tool_choice == "required": + return "required" + elif tool_choice == "none": + return "none" + else: + return { + "type": "function", + "function": { + "name": tool_choice, + }, + } + + @classmethod + def convert_response_format( + cls, final_output_schema: AgentOutputSchema | None + ) -> ResponseFormat | NotGiven: + if not final_output_schema or final_output_schema.is_plain_text(): + return NOT_GIVEN + + return { + "type": "json_schema", + "json_schema": { + "name": "final_output", + "strict": final_output_schema.strict_json_schema, + "schema": final_output_schema.json_schema(), + }, + } + + @classmethod + def message_to_output_items(cls, message: ChatCompletionMessage) -> list[TResponseOutputItem]: + items: list[TResponseOutputItem] = [] + + message_item = ResponseOutputMessage( + id=FAKE_RESPONSES_ID, + content=[], + role="assistant", + type="message", + status="completed", + ) + if message.content: + message_item.content.append( + ResponseOutputText(text=message.content, type="output_text", annotations=[]) + ) + if message.refusal: + message_item.content.append( + ResponseOutputRefusal(refusal=message.refusal, type="refusal") + ) + if message.audio: + raise AgentsException("Audio is not currently supported") + + if message_item.content: + items.append(message_item) + + if message.tool_calls: + for tool_call in message.tool_calls: + items.append( + ResponseFunctionToolCall( + id=FAKE_RESPONSES_ID, + call_id=tool_call.id, + arguments=tool_call.function.arguments, + name=tool_call.function.name, + type="function_call", + ) + ) + + return items + + @classmethod + def maybe_easy_input_message(cls, item: Any) -> EasyInputMessageParam | None: + if not isinstance(item, dict): + return None + + keys = item.keys() + # EasyInputMessageParam only has these two keys + if keys != {"content", "role"}: + return None + + role = item.get("role", None) + if role not in ("user", "assistant", "system", "developer"): + return None + + if "content" not in item: + return None + + return cast(EasyInputMessageParam, item) + + @classmethod + def maybe_input_message(cls, item: Any) -> Message | None: + if ( + isinstance(item, dict) + and item.get("type") == "message" + and item.get("role") + in ( + "user", + "system", + "developer", + ) + ): + return cast(Message, item) + + return None + + @classmethod + def maybe_file_search_call(cls, item: Any) -> ResponseFileSearchToolCallParam | None: + if isinstance(item, dict) and item.get("type") == "file_search_call": + return cast(ResponseFileSearchToolCallParam, item) + return None + + @classmethod + def maybe_function_tool_call(cls, item: Any) -> ResponseFunctionToolCallParam | None: + if isinstance(item, dict) and item.get("type") == "function_call": + return cast(ResponseFunctionToolCallParam, item) + return None + + @classmethod + def maybe_function_tool_call_output( + cls, + item: Any, + ) -> FunctionCallOutput | None: + if isinstance(item, dict) and item.get("type") == "function_call_output": + return cast(FunctionCallOutput, item) + return None + + @classmethod + def maybe_item_reference(cls, item: Any) -> ItemReference | None: + if isinstance(item, dict) and item.get("type") == "item_reference": + return cast(ItemReference, item) + return None + + @classmethod + def maybe_response_output_message(cls, item: Any) -> ResponseOutputMessageParam | None: + # ResponseOutputMessage is only used for messages with role assistant + if ( + isinstance(item, dict) + and item.get("type") == "message" + and item.get("role") == "assistant" + ): + return cast(ResponseOutputMessageParam, item) + return None + + @classmethod + def extract_text_content( + cls, content: str | Iterable[ResponseInputContentParam] + ) -> str | list[ChatCompletionContentPartTextParam]: + all_content = cls.extract_all_content(content) + if isinstance(all_content, str): + return all_content + out: list[ChatCompletionContentPartTextParam] = [] + for c in all_content: + if c.get("type") == "text": + out.append(cast(ChatCompletionContentPartTextParam, c)) + return out + + @classmethod + def extract_all_content( + cls, content: str | Iterable[ResponseInputContentParam] + ) -> str | list[ChatCompletionContentPartParam]: + if isinstance(content, str): + return content + out: list[ChatCompletionContentPartParam] = [] + + for c in content: + if isinstance(c, dict) and c.get("type") == "input_text": + casted_text_param = cast(ResponseInputTextParam, c) + out.append( + ChatCompletionContentPartTextParam( + type="text", + text=casted_text_param["text"], + ) + ) + elif isinstance(c, dict) and c.get("type") == "input_image": + casted_image_param = cast(ResponseInputImageParam, c) + if "image_url" not in casted_image_param or not casted_image_param["image_url"]: + raise UserError( + f"Only image URLs are supported for input_image {casted_image_param}" + ) + out.append( + ChatCompletionContentPartImageParam( + type="image_url", + image_url={ + "url": casted_image_param["image_url"], + "detail": casted_image_param["detail"], + }, + ) + ) + elif isinstance(c, dict) and c.get("type") == "input_file": + raise UserError(f"File uploads are not supported for chat completions {c}") + else: + raise UserError(f"Unknown content: {c}") + return out + + @classmethod + def items_to_messages( + cls, + items: str | Iterable[TResponseInputItem], + ) -> list[ChatCompletionMessageParam]: + """ + Convert a sequence of 'Item' objects into a list of ChatCompletionMessageParam. + + Rules: + - EasyInputMessage or InputMessage (role=user) => ChatCompletionUserMessageParam + - EasyInputMessage or InputMessage (role=system) => ChatCompletionSystemMessageParam + - EasyInputMessage or InputMessage (role=developer) => ChatCompletionDeveloperMessageParam + - InputMessage (role=assistant) => Start or flush a ChatCompletionAssistantMessageParam + - response_output_message => Also produces/flushes a ChatCompletionAssistantMessageParam + - tool calls get attached to the *current* assistant message, or create one if none. + - tool outputs => ChatCompletionToolMessageParam + """ + + if isinstance(items, str): + return [ + ChatCompletionUserMessageParam( + role="user", + content=items, + ) + ] + + result: list[ChatCompletionMessageParam] = [] + current_assistant_msg: ChatCompletionAssistantMessageParam | None = None + + def flush_assistant_message() -> None: + nonlocal current_assistant_msg + if current_assistant_msg is not None: + # The API doesn't support empty arrays for tool_calls + if not current_assistant_msg.get("tool_calls"): + del current_assistant_msg["tool_calls"] + result.append(current_assistant_msg) + current_assistant_msg = None + + def ensure_assistant_message() -> ChatCompletionAssistantMessageParam: + nonlocal current_assistant_msg + if current_assistant_msg is None: + current_assistant_msg = ChatCompletionAssistantMessageParam(role="assistant") + current_assistant_msg["tool_calls"] = [] + return current_assistant_msg + + for item in items: + # 1) Check easy input message + if easy_msg := cls.maybe_easy_input_message(item): + role = easy_msg["role"] + content = easy_msg["content"] + + if role == "user": + flush_assistant_message() + msg_user: ChatCompletionUserMessageParam = { + "role": "user", + "content": cls.extract_all_content(content), + } + result.append(msg_user) + elif role == "system": + flush_assistant_message() + msg_system: ChatCompletionSystemMessageParam = { + "role": "system", + "content": cls.extract_text_content(content), + } + result.append(msg_system) + elif role == "developer": + flush_assistant_message() + msg_developer: ChatCompletionDeveloperMessageParam = { + "role": "developer", + "content": cls.extract_text_content(content), + } + result.append(msg_developer) + elif role == "assistant": + flush_assistant_message() + msg_assistant: ChatCompletionAssistantMessageParam = { + "role": "assistant", + "content": cls.extract_text_content(content), + } + result.append(msg_assistant) + else: + raise UserError(f"Unexpected role in easy_input_message: {role}") + + # 2) Check input message + elif in_msg := cls.maybe_input_message(item): + role = in_msg["role"] + content = in_msg["content"] + flush_assistant_message() + + if role == "user": + msg_user = { + "role": "user", + "content": cls.extract_all_content(content), + } + result.append(msg_user) + elif role == "system": + msg_system = { + "role": "system", + "content": cls.extract_text_content(content), + } + result.append(msg_system) + elif role == "developer": + msg_developer = { + "role": "developer", + "content": cls.extract_text_content(content), + } + result.append(msg_developer) + else: + raise UserError(f"Unexpected role in input_message: {role}") + + # 3) response output message => assistant + elif resp_msg := cls.maybe_response_output_message(item): + flush_assistant_message() + new_asst = ChatCompletionAssistantMessageParam(role="assistant") + contents = resp_msg["content"] + + text_segments = [] + for c in contents: + if c["type"] == "output_text": + text_segments.append(c["text"]) + elif c["type"] == "refusal": + new_asst["refusal"] = c["refusal"] + elif c["type"] == "output_audio": + # Can't handle this, b/c chat completions expects an ID which we dont have + raise UserError( + f"Only audio IDs are supported for chat completions, but got: {c}" + ) + else: + raise UserError(f"Unknown content type in ResponseOutputMessage: {c}") + + if text_segments: + combined = "\n".join(text_segments) + new_asst["content"] = combined + + new_asst["tool_calls"] = [] + current_assistant_msg = new_asst + + # 4) function/file-search calls => attach to assistant + elif file_search := cls.maybe_file_search_call(item): + asst = ensure_assistant_message() + tool_calls = list(asst.get("tool_calls", [])) + new_tool_call = ChatCompletionMessageToolCallParam( + id=file_search["id"], + type="function", + function={ + "name": "file_search_call", + "arguments": json.dumps( + { + "queries": file_search.get("queries", []), + "status": file_search.get("status"), + } + ), + }, + ) + tool_calls.append(new_tool_call) + asst["tool_calls"] = tool_calls + + elif func_call := cls.maybe_function_tool_call(item): + asst = ensure_assistant_message() + tool_calls = list(asst.get("tool_calls", [])) + arguments = func_call["arguments"] if func_call["arguments"] else "{}" + new_tool_call = ChatCompletionMessageToolCallParam( + id=func_call["call_id"], + type="function", + function={ + "name": func_call["name"], + "arguments": arguments, + }, + ) + tool_calls.append(new_tool_call) + asst["tool_calls"] = tool_calls + # 5) function call output => tool message + elif func_output := cls.maybe_function_tool_call_output(item): + flush_assistant_message() + msg: ChatCompletionToolMessageParam = { + "role": "tool", + "tool_call_id": func_output["call_id"], + "content": func_output["output"], + } + result.append(msg) + + # 6) item reference => handle or raise + elif item_ref := cls.maybe_item_reference(item): + raise UserError( + f"Encountered an item_reference, which is not supported: {item_ref}" + ) + + # 7) If we haven't recognized it => fail or ignore + else: + raise UserError(f"Unhandled item type or structure: {item}") + + flush_assistant_message() + return result + + @classmethod + def tool_to_openai(cls, tool: Tool) -> ChatCompletionToolParam: + if isinstance(tool, FunctionTool): + return { + "type": "function", + "function": { + "name": tool.name, + "description": tool.description or "", + "parameters": tool.params_json_schema, + }, + } + + raise UserError( + f"Hosted tools are not supported with the ChatCompletions API. Got tool type: " + f"{type(tool)}, tool: {tool}" + ) + + @classmethod + def convert_handoff_tool(cls, handoff: Handoff[Any]) -> ChatCompletionToolParam: + return { + "type": "function", + "function": { + "name": handoff.tool_name, + "description": handoff.tool_description, + "parameters": handoff.input_json_schema, + }, + } diff --git a/src/agents/models/openai_chatcompletions.py b/src/agents/models/openai_chatcompletions.py index a4f93cb71..e3db9b968 100644 --- a/src/agents/models/openai_chatcompletions.py +++ b/src/agents/models/openai_chatcompletions.py @@ -3,71 +3,46 @@ import dataclasses import json import time -from collections.abc import AsyncIterator, Iterable +from collections.abc import AsyncIterator from dataclasses import dataclass, field from typing import TYPE_CHECKING, Any, Literal, cast, overload -from openai import NOT_GIVEN, AsyncOpenAI, AsyncStream, NotGiven +from openai import NOT_GIVEN, AsyncOpenAI, AsyncStream from openai.types import ChatModel -from openai.types.chat import ( - ChatCompletion, - ChatCompletionAssistantMessageParam, - ChatCompletionChunk, - ChatCompletionContentPartImageParam, - ChatCompletionContentPartParam, - ChatCompletionContentPartTextParam, - ChatCompletionDeveloperMessageParam, - ChatCompletionMessage, - ChatCompletionMessageParam, - ChatCompletionMessageToolCallParam, - ChatCompletionSystemMessageParam, - ChatCompletionToolChoiceOptionParam, - ChatCompletionToolMessageParam, - ChatCompletionUserMessageParam, -) -from openai.types.chat.chat_completion_tool_param import ChatCompletionToolParam -from openai.types.chat.completion_create_params import ResponseFormat +from openai.types.chat import ChatCompletion, ChatCompletionChunk from openai.types.completion_usage import CompletionUsage from openai.types.responses import ( - EasyInputMessageParam, Response, ResponseCompletedEvent, ResponseContentPartAddedEvent, ResponseContentPartDoneEvent, ResponseCreatedEvent, - ResponseFileSearchToolCallParam, ResponseFunctionCallArgumentsDeltaEvent, ResponseFunctionToolCall, - ResponseFunctionToolCallParam, - ResponseInputContentParam, - ResponseInputImageParam, - ResponseInputTextParam, ResponseOutputItem, ResponseOutputItemAddedEvent, ResponseOutputItemDoneEvent, ResponseOutputMessage, - ResponseOutputMessageParam, ResponseOutputRefusal, ResponseOutputText, ResponseRefusalDeltaEvent, ResponseTextDeltaEvent, ResponseUsage, ) -from openai.types.responses.response_input_param import FunctionCallOutput, ItemReference, Message from openai.types.responses.response_usage import InputTokensDetails, OutputTokensDetails from .. import _debug from ..agent_output import AgentOutputSchema -from ..exceptions import AgentsException, UserError from ..handoffs import Handoff -from ..items import ModelResponse, TResponseInputItem, TResponseOutputItem, TResponseStreamEvent +from ..items import ModelResponse, TResponseInputItem, TResponseStreamEvent from ..logger import logger -from ..tool import FunctionTool, Tool +from ..tool import Tool from ..tracing import generation_span from ..tracing.span_data import GenerationSpanData from ..tracing.spans import Span from ..usage import Usage from ..version import __version__ +from .chatcmpl_converter import Converter from .fake_id import FAKE_RESPONSES_ID from .interface import Model, ModelTracing @@ -152,7 +127,7 @@ async def get_response( "output_tokens": usage.output_tokens, } - items = _Converter.message_to_output_items(response.choices[0].message) + items = Converter.message_to_output_items(response.choices[0].message) return ModelResponse( output=items, @@ -486,7 +461,7 @@ async def _fetch_response( tracing: ModelTracing, stream: bool = False, ) -> ChatCompletion | tuple[Response, AsyncStream[ChatCompletionChunk]]: - converted_messages = _Converter.items_to_messages(input) + converted_messages = Converter.items_to_messages(input) if system_instructions: converted_messages.insert( @@ -506,13 +481,13 @@ async def _fetch_response( if model_settings.parallel_tool_calls is False else NOT_GIVEN ) - tool_choice = _Converter.convert_tool_choice(model_settings.tool_choice) - response_format = _Converter.convert_response_format(output_schema) + tool_choice = Converter.convert_tool_choice(model_settings.tool_choice) + response_format = Converter.convert_response_format(output_schema) - converted_tools = [ToolConverter.to_openai(tool) for tool in tools] if tools else [] + converted_tools = [Converter.tool_to_openai(tool) for tool in tools] if tools else [] for handoff in handoffs: - converted_tools.append(ToolConverter.convert_handoff_tool(handoff)) + converted_tools.append(Converter.convert_handoff_tool(handoff)) if _debug.DONT_LOG_MODEL_DATA: logger.debug("Calling LLM") @@ -526,9 +501,9 @@ async def _fetch_response( ) reasoning_effort = model_settings.reasoning.effort if model_settings.reasoning else None - store = _Converter.get_store_param(self._get_client(), model_settings) + store = _Helpers.get_store_param(self._get_client(), model_settings) - stream_options = _Converter.get_stream_options_param( + stream_options = _Helpers.get_stream_options_param( self._get_client(), model_settings, stream=stream ) @@ -580,7 +555,7 @@ def _get_client(self) -> AsyncOpenAI: return self._client -class _Converter: +class _Helpers: @classmethod def is_openai(cls, client: AsyncOpenAI): return str(client.base_url).startswith("https://api.openai.com") @@ -606,425 +581,3 @@ def get_stream_options_param( ) stream_options = {"include_usage": include_usage} if include_usage is not None else None return stream_options - - @classmethod - def convert_tool_choice( - cls, tool_choice: Literal["auto", "required", "none"] | str | None - ) -> ChatCompletionToolChoiceOptionParam | NotGiven: - if tool_choice is None: - return NOT_GIVEN - elif tool_choice == "auto": - return "auto" - elif tool_choice == "required": - return "required" - elif tool_choice == "none": - return "none" - else: - return { - "type": "function", - "function": { - "name": tool_choice, - }, - } - - @classmethod - def convert_response_format( - cls, final_output_schema: AgentOutputSchema | None - ) -> ResponseFormat | NotGiven: - if not final_output_schema or final_output_schema.is_plain_text(): - return NOT_GIVEN - - return { - "type": "json_schema", - "json_schema": { - "name": "final_output", - "strict": final_output_schema.strict_json_schema, - "schema": final_output_schema.json_schema(), - }, - } - - @classmethod - def message_to_output_items(cls, message: ChatCompletionMessage) -> list[TResponseOutputItem]: - items: list[TResponseOutputItem] = [] - - message_item = ResponseOutputMessage( - id=FAKE_RESPONSES_ID, - content=[], - role="assistant", - type="message", - status="completed", - ) - if message.content: - message_item.content.append( - ResponseOutputText(text=message.content, type="output_text", annotations=[]) - ) - if message.refusal: - message_item.content.append( - ResponseOutputRefusal(refusal=message.refusal, type="refusal") - ) - if message.audio: - raise AgentsException("Audio is not currently supported") - - if message_item.content: - items.append(message_item) - - if message.tool_calls: - for tool_call in message.tool_calls: - items.append( - ResponseFunctionToolCall( - id=FAKE_RESPONSES_ID, - call_id=tool_call.id, - arguments=tool_call.function.arguments, - name=tool_call.function.name, - type="function_call", - ) - ) - - return items - - @classmethod - def maybe_easy_input_message(cls, item: Any) -> EasyInputMessageParam | None: - if not isinstance(item, dict): - return None - - keys = item.keys() - # EasyInputMessageParam only has these two keys - if keys != {"content", "role"}: - return None - - role = item.get("role", None) - if role not in ("user", "assistant", "system", "developer"): - return None - - if "content" not in item: - return None - - return cast(EasyInputMessageParam, item) - - @classmethod - def maybe_input_message(cls, item: Any) -> Message | None: - if ( - isinstance(item, dict) - and item.get("type") == "message" - and item.get("role") - in ( - "user", - "system", - "developer", - ) - ): - return cast(Message, item) - - return None - - @classmethod - def maybe_file_search_call(cls, item: Any) -> ResponseFileSearchToolCallParam | None: - if isinstance(item, dict) and item.get("type") == "file_search_call": - return cast(ResponseFileSearchToolCallParam, item) - return None - - @classmethod - def maybe_function_tool_call(cls, item: Any) -> ResponseFunctionToolCallParam | None: - if isinstance(item, dict) and item.get("type") == "function_call": - return cast(ResponseFunctionToolCallParam, item) - return None - - @classmethod - def maybe_function_tool_call_output( - cls, - item: Any, - ) -> FunctionCallOutput | None: - if isinstance(item, dict) and item.get("type") == "function_call_output": - return cast(FunctionCallOutput, item) - return None - - @classmethod - def maybe_item_reference(cls, item: Any) -> ItemReference | None: - if isinstance(item, dict) and item.get("type") == "item_reference": - return cast(ItemReference, item) - return None - - @classmethod - def maybe_response_output_message(cls, item: Any) -> ResponseOutputMessageParam | None: - # ResponseOutputMessage is only used for messages with role assistant - if ( - isinstance(item, dict) - and item.get("type") == "message" - and item.get("role") == "assistant" - ): - return cast(ResponseOutputMessageParam, item) - return None - - @classmethod - def extract_text_content( - cls, content: str | Iterable[ResponseInputContentParam] - ) -> str | list[ChatCompletionContentPartTextParam]: - all_content = cls.extract_all_content(content) - if isinstance(all_content, str): - return all_content - out: list[ChatCompletionContentPartTextParam] = [] - for c in all_content: - if c.get("type") == "text": - out.append(cast(ChatCompletionContentPartTextParam, c)) - return out - - @classmethod - def extract_all_content( - cls, content: str | Iterable[ResponseInputContentParam] - ) -> str | list[ChatCompletionContentPartParam]: - if isinstance(content, str): - return content - out: list[ChatCompletionContentPartParam] = [] - - for c in content: - if isinstance(c, dict) and c.get("type") == "input_text": - casted_text_param = cast(ResponseInputTextParam, c) - out.append( - ChatCompletionContentPartTextParam( - type="text", - text=casted_text_param["text"], - ) - ) - elif isinstance(c, dict) and c.get("type") == "input_image": - casted_image_param = cast(ResponseInputImageParam, c) - if "image_url" not in casted_image_param or not casted_image_param["image_url"]: - raise UserError( - f"Only image URLs are supported for input_image {casted_image_param}" - ) - out.append( - ChatCompletionContentPartImageParam( - type="image_url", - image_url={ - "url": casted_image_param["image_url"], - "detail": casted_image_param["detail"], - }, - ) - ) - elif isinstance(c, dict) and c.get("type") == "input_file": - raise UserError(f"File uploads are not supported for chat completions {c}") - else: - raise UserError(f"Unknown content: {c}") - return out - - @classmethod - def items_to_messages( - cls, - items: str | Iterable[TResponseInputItem], - ) -> list[ChatCompletionMessageParam]: - """ - Convert a sequence of 'Item' objects into a list of ChatCompletionMessageParam. - - Rules: - - EasyInputMessage or InputMessage (role=user) => ChatCompletionUserMessageParam - - EasyInputMessage or InputMessage (role=system) => ChatCompletionSystemMessageParam - - EasyInputMessage or InputMessage (role=developer) => ChatCompletionDeveloperMessageParam - - InputMessage (role=assistant) => Start or flush a ChatCompletionAssistantMessageParam - - response_output_message => Also produces/flushes a ChatCompletionAssistantMessageParam - - tool calls get attached to the *current* assistant message, or create one if none. - - tool outputs => ChatCompletionToolMessageParam - """ - - if isinstance(items, str): - return [ - ChatCompletionUserMessageParam( - role="user", - content=items, - ) - ] - - result: list[ChatCompletionMessageParam] = [] - current_assistant_msg: ChatCompletionAssistantMessageParam | None = None - - def flush_assistant_message() -> None: - nonlocal current_assistant_msg - if current_assistant_msg is not None: - # The API doesn't support empty arrays for tool_calls - if not current_assistant_msg.get("tool_calls"): - del current_assistant_msg["tool_calls"] - result.append(current_assistant_msg) - current_assistant_msg = None - - def ensure_assistant_message() -> ChatCompletionAssistantMessageParam: - nonlocal current_assistant_msg - if current_assistant_msg is None: - current_assistant_msg = ChatCompletionAssistantMessageParam(role="assistant") - current_assistant_msg["tool_calls"] = [] - return current_assistant_msg - - for item in items: - # 1) Check easy input message - if easy_msg := cls.maybe_easy_input_message(item): - role = easy_msg["role"] - content = easy_msg["content"] - - if role == "user": - flush_assistant_message() - msg_user: ChatCompletionUserMessageParam = { - "role": "user", - "content": cls.extract_all_content(content), - } - result.append(msg_user) - elif role == "system": - flush_assistant_message() - msg_system: ChatCompletionSystemMessageParam = { - "role": "system", - "content": cls.extract_text_content(content), - } - result.append(msg_system) - elif role == "developer": - flush_assistant_message() - msg_developer: ChatCompletionDeveloperMessageParam = { - "role": "developer", - "content": cls.extract_text_content(content), - } - result.append(msg_developer) - elif role == "assistant": - flush_assistant_message() - msg_assistant: ChatCompletionAssistantMessageParam = { - "role": "assistant", - "content": cls.extract_text_content(content), - } - result.append(msg_assistant) - else: - raise UserError(f"Unexpected role in easy_input_message: {role}") - - # 2) Check input message - elif in_msg := cls.maybe_input_message(item): - role = in_msg["role"] - content = in_msg["content"] - flush_assistant_message() - - if role == "user": - msg_user = { - "role": "user", - "content": cls.extract_all_content(content), - } - result.append(msg_user) - elif role == "system": - msg_system = { - "role": "system", - "content": cls.extract_text_content(content), - } - result.append(msg_system) - elif role == "developer": - msg_developer = { - "role": "developer", - "content": cls.extract_text_content(content), - } - result.append(msg_developer) - else: - raise UserError(f"Unexpected role in input_message: {role}") - - # 3) response output message => assistant - elif resp_msg := cls.maybe_response_output_message(item): - flush_assistant_message() - new_asst = ChatCompletionAssistantMessageParam(role="assistant") - contents = resp_msg["content"] - - text_segments = [] - for c in contents: - if c["type"] == "output_text": - text_segments.append(c["text"]) - elif c["type"] == "refusal": - new_asst["refusal"] = c["refusal"] - elif c["type"] == "output_audio": - # Can't handle this, b/c chat completions expects an ID which we dont have - raise UserError( - f"Only audio IDs are supported for chat completions, but got: {c}" - ) - else: - raise UserError(f"Unknown content type in ResponseOutputMessage: {c}") - - if text_segments: - combined = "\n".join(text_segments) - new_asst["content"] = combined - - new_asst["tool_calls"] = [] - current_assistant_msg = new_asst - - # 4) function/file-search calls => attach to assistant - elif file_search := cls.maybe_file_search_call(item): - asst = ensure_assistant_message() - tool_calls = list(asst.get("tool_calls", [])) - new_tool_call = ChatCompletionMessageToolCallParam( - id=file_search["id"], - type="function", - function={ - "name": "file_search_call", - "arguments": json.dumps( - { - "queries": file_search.get("queries", []), - "status": file_search.get("status"), - } - ), - }, - ) - tool_calls.append(new_tool_call) - asst["tool_calls"] = tool_calls - - elif func_call := cls.maybe_function_tool_call(item): - asst = ensure_assistant_message() - tool_calls = list(asst.get("tool_calls", [])) - arguments = func_call["arguments"] if func_call["arguments"] else "{}" - new_tool_call = ChatCompletionMessageToolCallParam( - id=func_call["call_id"], - type="function", - function={ - "name": func_call["name"], - "arguments": arguments, - }, - ) - tool_calls.append(new_tool_call) - asst["tool_calls"] = tool_calls - # 5) function call output => tool message - elif func_output := cls.maybe_function_tool_call_output(item): - flush_assistant_message() - msg: ChatCompletionToolMessageParam = { - "role": "tool", - "tool_call_id": func_output["call_id"], - "content": func_output["output"], - } - result.append(msg) - - # 6) item reference => handle or raise - elif item_ref := cls.maybe_item_reference(item): - raise UserError( - f"Encountered an item_reference, which is not supported: {item_ref}" - ) - - # 7) If we haven't recognized it => fail or ignore - else: - raise UserError(f"Unhandled item type or structure: {item}") - - flush_assistant_message() - return result - - -class ToolConverter: - @classmethod - def to_openai(cls, tool: Tool) -> ChatCompletionToolParam: - if isinstance(tool, FunctionTool): - return { - "type": "function", - "function": { - "name": tool.name, - "description": tool.description or "", - "parameters": tool.params_json_schema, - }, - } - - raise UserError( - f"Hosted tools are not supported with the ChatCompletions API. Got tool type: " - f"{type(tool)}, tool: {tool}" - ) - - @classmethod - def convert_handoff_tool(cls, handoff: Handoff[Any]) -> ChatCompletionToolParam: - return { - "type": "function", - "function": { - "name": handoff.tool_name, - "description": handoff.tool_description, - "parameters": handoff.input_json_schema, - }, - } diff --git a/tests/test_openai_chatcompletions.py b/tests/test_openai_chatcompletions.py index 92d65fda1..b0fc1f321 100644 --- a/tests/test_openai_chatcompletions.py +++ b/tests/test_openai_chatcompletions.py @@ -31,7 +31,7 @@ generation_span, ) from agents.models.fake_id import FAKE_RESPONSES_ID -from agents.models.openai_chatcompletions import _Converter +from agents.models.openai_chatcompletions import _Helpers @pytest.mark.allow_call_model_methods @@ -301,32 +301,32 @@ def test_store_param(): model_settings = ModelSettings() client = AsyncOpenAI() - assert _Converter.get_store_param(client, model_settings) is True, ( + assert _Helpers.get_store_param(client, model_settings) is True, ( "Should default to True for OpenAI API calls" ) model_settings = ModelSettings(store=False) - assert _Converter.get_store_param(client, model_settings) is False, ( + assert _Helpers.get_store_param(client, model_settings) is False, ( "Should respect explicitly set store=False" ) model_settings = ModelSettings(store=True) - assert _Converter.get_store_param(client, model_settings) is True, ( + assert _Helpers.get_store_param(client, model_settings) is True, ( "Should respect explicitly set store=True" ) client = AsyncOpenAI(base_url="http://www.notopenai.com") model_settings = ModelSettings() - assert _Converter.get_store_param(client, model_settings) is None, ( + assert _Helpers.get_store_param(client, model_settings) is None, ( "Should default to None for non-OpenAI API calls" ) model_settings = ModelSettings(store=False) - assert _Converter.get_store_param(client, model_settings) is False, ( + assert _Helpers.get_store_param(client, model_settings) is False, ( "Should respect explicitly set store=False" ) model_settings = ModelSettings(store=True) - assert _Converter.get_store_param(client, model_settings) is True, ( + assert _Helpers.get_store_param(client, model_settings) is True, ( "Should respect explicitly set store=True" ) diff --git a/tests/test_openai_chatcompletions_converter.py b/tests/test_openai_chatcompletions_converter.py index 73acb8ab6..e3a18b255 100644 --- a/tests/test_openai_chatcompletions_converter.py +++ b/tests/test_openai_chatcompletions_converter.py @@ -4,7 +4,7 @@ # See LICENSE file in the project root for full license information. """ -Unit tests for the internal `_Converter` class defined in +Unit tests for the internal `Converter` class defined in `agents.models.openai_chatcompletions`. The converter is responsible for translating between internal "item" structures (e.g., `ResponseOutputMessage` and related types from `openai.types.responses`) and the ChatCompletion message @@ -12,10 +12,10 @@ These tests exercise both conversion directions: -- `_Converter.message_to_output_items` turns a `ChatCompletionMessage` (as +- `Converter.message_to_output_items` turns a `ChatCompletionMessage` (as returned by the OpenAI API) into a list of `ResponseOutputItem` instances. -- `_Converter.items_to_messages` takes in either a simple string prompt, or a +- `Converter.items_to_messages` takes in either a simple string prompt, or a list of input/output items such as `ResponseOutputMessage` and `ResponseFunctionToolCallParam` dicts, and constructs a list of `ChatCompletionMessageParam` dicts suitable for sending back to the API. @@ -41,8 +41,8 @@ from agents.agent_output import AgentOutputSchema from agents.exceptions import UserError from agents.items import TResponseInputItem +from agents.models.chatcmpl_converter import Converter from agents.models.fake_id import FAKE_RESPONSES_ID -from agents.models.openai_chatcompletions import _Converter def test_message_to_output_items_with_text_only(): @@ -51,7 +51,7 @@ def test_message_to_output_items_with_text_only(): into a single ResponseOutputMessage containing one ResponseOutputText. """ msg = ChatCompletionMessage(role="assistant", content="Hello") - items = _Converter.message_to_output_items(msg) + items = Converter.message_to_output_items(msg) # Expect exactly one output item (the message) assert len(items) == 1 message_item = cast(ResponseOutputMessage, items[0]) @@ -72,7 +72,7 @@ def test_message_to_output_items_with_refusal(): with a ResponseOutputRefusal content part. """ msg = ChatCompletionMessage(role="assistant", refusal="I'm sorry") - items = _Converter.message_to_output_items(msg) + items = Converter.message_to_output_items(msg) assert len(items) == 1 message_item = cast(ResponseOutputMessage, items[0]) assert len(message_item.content) == 1 @@ -93,7 +93,7 @@ def test_message_to_output_items_with_tool_call(): function=Function(name="myfn", arguments='{"x":1}'), ) msg = ChatCompletionMessage(role="assistant", content="Hi", tool_calls=[tool_call]) - items = _Converter.message_to_output_items(msg) + items = Converter.message_to_output_items(msg) # Should produce a message item followed by one function tool call item assert len(items) == 2 message_item = cast(ResponseOutputMessage, items[0]) @@ -111,7 +111,7 @@ def test_items_to_messages_with_string_user_content(): A simple string as the items argument should be converted into a user message param dict with the same content. """ - result = _Converter.items_to_messages("Ask me anything") + result = Converter.items_to_messages("Ask me anything") assert isinstance(result, list) assert len(result) == 1 msg = result[0] @@ -130,7 +130,7 @@ def test_items_to_messages_with_easy_input_message(): "content": "How are you?", } ] - messages = _Converter.items_to_messages(items) + messages = Converter.items_to_messages(items) assert len(messages) == 1 out = messages[0] assert out["role"] == "user" @@ -174,7 +174,7 @@ def test_items_to_messages_with_output_message_and_function_call(): resp_msg.model_dump(), # type:ignore func_item, ] - messages = _Converter.items_to_messages(items) + messages = Converter.items_to_messages(items) # Should return a single assistant message assert len(messages) == 1 assistant = messages[0] @@ -197,16 +197,16 @@ def test_items_to_messages_with_output_message_and_function_call(): def test_convert_tool_choice_handles_standard_and_named_options() -> None: """ - The `_Converter.convert_tool_choice` method should return NOT_GIVEN + The `Converter.convert_tool_choice` method should return NOT_GIVEN if no choice is provided, pass through values like "auto", "required", or "none" unchanged, and translate any other string into a function selection dict. """ - assert _Converter.convert_tool_choice(None).__class__.__name__ == "NotGiven" - assert _Converter.convert_tool_choice("auto") == "auto" - assert _Converter.convert_tool_choice("required") == "required" - assert _Converter.convert_tool_choice("none") == "none" - tool_choice_dict = _Converter.convert_tool_choice("mytool") + assert Converter.convert_tool_choice(None).__class__.__name__ == "NotGiven" + assert Converter.convert_tool_choice("auto") == "auto" + assert Converter.convert_tool_choice("required") == "required" + assert Converter.convert_tool_choice("none") == "none" + tool_choice_dict = Converter.convert_tool_choice("mytool") assert isinstance(tool_choice_dict, dict) assert tool_choice_dict["type"] == "function" assert tool_choice_dict["function"]["name"] == "mytool" @@ -214,20 +214,20 @@ def test_convert_tool_choice_handles_standard_and_named_options() -> None: def test_convert_response_format_returns_not_given_for_plain_text_and_dict_for_schemas() -> None: """ - The `_Converter.convert_response_format` method should return NOT_GIVEN + The `Converter.convert_response_format` method should return NOT_GIVEN when no output schema is provided or if the output schema indicates plain text. For structured output schemas, it should return a dict with type `json_schema` and include the generated JSON schema and strict flag from the provided `AgentOutputSchema`. """ # when output is plain text (schema None or output_type str), do not include response_format - assert _Converter.convert_response_format(None).__class__.__name__ == "NotGiven" + assert Converter.convert_response_format(None).__class__.__name__ == "NotGiven" assert ( - _Converter.convert_response_format(AgentOutputSchema(str)).__class__.__name__ == "NotGiven" + Converter.convert_response_format(AgentOutputSchema(str)).__class__.__name__ == "NotGiven" ) # For e.g. integer output, we expect a response_format dict schema = AgentOutputSchema(int) - resp_format = _Converter.convert_response_format(schema) + resp_format = Converter.convert_response_format(schema) assert isinstance(resp_format, dict) assert resp_format["type"] == "json_schema" assert resp_format["json_schema"]["name"] == "final_output" @@ -247,7 +247,7 @@ def test_items_to_messages_with_function_output_item(): "call_id": "somecall", "output": '{"foo": "bar"}', } - messages = _Converter.items_to_messages([func_output_item]) + messages = Converter.items_to_messages([func_output_item]) assert len(messages) == 1 tool_msg = messages[0] assert tool_msg["role"] == "tool" @@ -266,16 +266,16 @@ def test_extract_all_and_text_content_for_strings_and_lists(): should filter to only the textual parts. """ prompt = "just text" - assert _Converter.extract_all_content(prompt) == prompt - assert _Converter.extract_text_content(prompt) == prompt + assert Converter.extract_all_content(prompt) == prompt + assert Converter.extract_text_content(prompt) == prompt text1: ResponseInputTextParam = {"type": "input_text", "text": "one"} text2: ResponseInputTextParam = {"type": "input_text", "text": "two"} - all_parts = _Converter.extract_all_content([text1, text2]) + all_parts = Converter.extract_all_content([text1, text2]) assert isinstance(all_parts, list) assert len(all_parts) == 2 assert all_parts[0]["type"] == "text" and all_parts[0]["text"] == "one" assert all_parts[1]["type"] == "text" and all_parts[1]["text"] == "two" - text_parts = _Converter.extract_text_content([text1, text2]) + text_parts = Converter.extract_text_content([text1, text2]) assert isinstance(text_parts, list) assert all(p["type"] == "text" for p in text_parts) assert [p["text"] for p in text_parts] == ["one", "two"] @@ -288,12 +288,12 @@ def test_items_to_messages_handles_system_and_developer_roles(): `message` typed dicts. """ sys_items: list[TResponseInputItem] = [{"role": "system", "content": "setup"}] - sys_msgs = _Converter.items_to_messages(sys_items) + sys_msgs = Converter.items_to_messages(sys_items) assert len(sys_msgs) == 1 assert sys_msgs[0]["role"] == "system" assert sys_msgs[0]["content"] == "setup" dev_items: list[TResponseInputItem] = [{"role": "developer", "content": "debug"}] - dev_msgs = _Converter.items_to_messages(dev_items) + dev_msgs = Converter.items_to_messages(dev_items) assert len(dev_msgs) == 1 assert dev_msgs[0]["role"] == "developer" assert dev_msgs[0]["content"] == "debug" @@ -301,7 +301,7 @@ def test_items_to_messages_handles_system_and_developer_roles(): def test_maybe_input_message_allows_message_typed_dict(): """ - The `_Converter.maybe_input_message` should recognize a dict with + The `Converter.maybe_input_message` should recognize a dict with "type": "message" and a supported role as an input message. Ensure that such dicts are passed through by `items_to_messages`. """ @@ -311,9 +311,9 @@ def test_maybe_input_message_allows_message_typed_dict(): "role": "user", "content": "hi", } - assert _Converter.maybe_input_message(message_dict) is not None + assert Converter.maybe_input_message(message_dict) is not None # items_to_messages should process this correctly - msgs = _Converter.items_to_messages([message_dict]) + msgs = Converter.items_to_messages([message_dict]) assert len(msgs) == 1 assert msgs[0]["role"] == "user" assert msgs[0]["content"] == "hi" @@ -331,7 +331,7 @@ def test_tool_call_conversion(): type="function_call", ) - messages = _Converter.items_to_messages([function_call]) + messages = Converter.items_to_messages([function_call]) assert len(messages) == 1 tool_msg = messages[0] assert tool_msg["role"] == "assistant" @@ -348,7 +348,7 @@ def test_tool_call_conversion(): @pytest.mark.parametrize("role", ["user", "system", "developer"]) def test_input_message_with_all_roles(role: str): """ - The `_Converter.maybe_input_message` should recognize a dict with + The `Converter.maybe_input_message` should recognize a dict with "type": "message" and a supported role as an input message. Ensure that such dicts are passed through by `items_to_messages`. """ @@ -359,9 +359,9 @@ def test_input_message_with_all_roles(role: str): "role": casted_role, "content": "hi", } - assert _Converter.maybe_input_message(message_dict) is not None + assert Converter.maybe_input_message(message_dict) is not None # items_to_messages should process this correctly - msgs = _Converter.items_to_messages([message_dict]) + msgs = Converter.items_to_messages([message_dict]) assert len(msgs) == 1 assert msgs[0]["role"] == casted_role assert msgs[0]["content"] == "hi" @@ -372,7 +372,7 @@ def test_item_reference_errors(): Test that item references are converted correctly. """ with pytest.raises(UserError): - _Converter.items_to_messages( + Converter.items_to_messages( [ { "type": "item_reference", @@ -392,14 +392,14 @@ def test_unknown_object_errors(): """ with pytest.raises(UserError, match="Unhandled item type or structure"): # Purposely ignore the type error - _Converter.items_to_messages([TestObject()]) # type: ignore + Converter.items_to_messages([TestObject()]) # type: ignore def test_assistant_messages_in_history(): """ Test that assistant messages are added to the history. """ - messages = _Converter.items_to_messages( + messages = Converter.items_to_messages( [ { "role": "user", diff --git a/tests/test_tool_converter.py b/tests/test_tool_converter.py index 1b6ebcf93..918de0153 100644 --- a/tests/test_tool_converter.py +++ b/tests/test_tool_converter.py @@ -3,7 +3,7 @@ from agents import Agent, Handoff, function_tool, handoff from agents.exceptions import UserError -from agents.models.openai_chatcompletions import ToolConverter +from agents.models.chatcmpl_converter import Converter from agents.tool import FileSearchTool, WebSearchTool @@ -15,7 +15,7 @@ def test_to_openai_with_function_tool(): some_function(a="foo", b=[1, 2, 3]) tool = function_tool(some_function) - result = ToolConverter.to_openai(tool) + result = Converter.tool_to_openai(tool) assert result["type"] == "function" assert result["function"]["name"] == "some_function" @@ -34,7 +34,7 @@ class Foo(BaseModel): def test_convert_handoff_tool(): agent = Agent(name="test_1", handoff_description="test_2") handoff_obj = handoff(agent=agent) - result = ToolConverter.convert_handoff_tool(handoff_obj) + result = Converter.convert_handoff_tool(handoff_obj) assert result["type"] == "function" assert result["function"]["name"] == Handoff.default_tool_name(agent) @@ -48,7 +48,7 @@ def test_convert_handoff_tool(): def test_tool_converter_hosted_tools_errors(): with pytest.raises(UserError): - ToolConverter.to_openai(WebSearchTool()) + Converter.tool_to_openai(WebSearchTool()) with pytest.raises(UserError): - ToolConverter.to_openai(FileSearchTool(vector_store_ids=["abc"], max_num_results=1)) + Converter.tool_to_openai(FileSearchTool(vector_store_ids=["abc"], max_num_results=1)) From 3786cddf3e2055a257ba9b0c43b94fbfeb1448b1 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 15 Apr 2025 18:27:01 -0400 Subject: [PATCH 065/337] Extract chat completions streaming helpers --- src/agents/models/chatcmpl_stream_handler.py | 290 +++++++++++++++++++ src/agents/models/openai_chatcompletions.py | 286 +----------------- 2 files changed, 301 insertions(+), 275 deletions(-) create mode 100644 src/agents/models/chatcmpl_stream_handler.py diff --git a/src/agents/models/chatcmpl_stream_handler.py b/src/agents/models/chatcmpl_stream_handler.py new file mode 100644 index 000000000..32f04acb4 --- /dev/null +++ b/src/agents/models/chatcmpl_stream_handler.py @@ -0,0 +1,290 @@ +from __future__ import annotations + +from collections.abc import AsyncIterator +from dataclasses import dataclass, field + +from openai import AsyncStream +from openai.types.chat import ChatCompletionChunk +from openai.types.completion_usage import CompletionUsage +from openai.types.responses import ( + Response, + ResponseCompletedEvent, + ResponseContentPartAddedEvent, + ResponseContentPartDoneEvent, + ResponseCreatedEvent, + ResponseFunctionCallArgumentsDeltaEvent, + ResponseFunctionToolCall, + ResponseOutputItem, + ResponseOutputItemAddedEvent, + ResponseOutputItemDoneEvent, + ResponseOutputMessage, + ResponseOutputRefusal, + ResponseOutputText, + ResponseRefusalDeltaEvent, + ResponseTextDeltaEvent, + ResponseUsage, +) +from openai.types.responses.response_usage import InputTokensDetails, OutputTokensDetails + +from ..items import TResponseStreamEvent +from .fake_id import FAKE_RESPONSES_ID + + +@dataclass +class StreamingState: + started: bool = False + text_content_index_and_output: tuple[int, ResponseOutputText] | None = None + refusal_content_index_and_output: tuple[int, ResponseOutputRefusal] | None = None + function_calls: dict[int, ResponseFunctionToolCall] = field(default_factory=dict) + + +class ChatCmplStreamHandler: + @classmethod + async def handle_stream( + cls, + response: Response, + stream: AsyncStream[ChatCompletionChunk], + ) -> AsyncIterator[TResponseStreamEvent]: + usage: CompletionUsage | None = None + state = StreamingState() + + async for chunk in stream: + if not state.started: + state.started = True + yield ResponseCreatedEvent( + response=response, + type="response.created", + ) + + usage = chunk.usage + + if not chunk.choices or not chunk.choices[0].delta: + continue + + delta = chunk.choices[0].delta + + # Handle text + if delta.content: + if not state.text_content_index_and_output: + # Initialize a content tracker for streaming text + state.text_content_index_and_output = ( + 0 if not state.refusal_content_index_and_output else 1, + ResponseOutputText( + text="", + type="output_text", + annotations=[], + ), + ) + # Start a new assistant message stream + assistant_item = ResponseOutputMessage( + id=FAKE_RESPONSES_ID, + content=[], + role="assistant", + type="message", + status="in_progress", + ) + # Notify consumers of the start of a new output message + first content part + yield ResponseOutputItemAddedEvent( + item=assistant_item, + output_index=0, + type="response.output_item.added", + ) + yield ResponseContentPartAddedEvent( + content_index=state.text_content_index_and_output[0], + item_id=FAKE_RESPONSES_ID, + output_index=0, + part=ResponseOutputText( + text="", + type="output_text", + annotations=[], + ), + type="response.content_part.added", + ) + # Emit the delta for this segment of content + yield ResponseTextDeltaEvent( + content_index=state.text_content_index_and_output[0], + delta=delta.content, + item_id=FAKE_RESPONSES_ID, + output_index=0, + type="response.output_text.delta", + ) + # Accumulate the text into the response part + state.text_content_index_and_output[1].text += delta.content + + # Handle refusals (model declines to answer) + if delta.refusal: + if not state.refusal_content_index_and_output: + # Initialize a content tracker for streaming refusal text + state.refusal_content_index_and_output = ( + 0 if not state.text_content_index_and_output else 1, + ResponseOutputRefusal(refusal="", type="refusal"), + ) + # Start a new assistant message if one doesn't exist yet (in-progress) + assistant_item = ResponseOutputMessage( + id=FAKE_RESPONSES_ID, + content=[], + role="assistant", + type="message", + status="in_progress", + ) + # Notify downstream that assistant message + first content part are starting + yield ResponseOutputItemAddedEvent( + item=assistant_item, + output_index=0, + type="response.output_item.added", + ) + yield ResponseContentPartAddedEvent( + content_index=state.refusal_content_index_and_output[0], + item_id=FAKE_RESPONSES_ID, + output_index=0, + part=ResponseOutputText( + text="", + type="output_text", + annotations=[], + ), + type="response.content_part.added", + ) + # Emit the delta for this segment of refusal + yield ResponseRefusalDeltaEvent( + content_index=state.refusal_content_index_and_output[0], + delta=delta.refusal, + item_id=FAKE_RESPONSES_ID, + output_index=0, + type="response.refusal.delta", + ) + # Accumulate the refusal string in the output part + state.refusal_content_index_and_output[1].refusal += delta.refusal + + # Handle tool calls + # Because we don't know the name of the function until the end of the stream, we'll + # save everything and yield events at the end + if delta.tool_calls: + for tc_delta in delta.tool_calls: + if tc_delta.index not in state.function_calls: + state.function_calls[tc_delta.index] = ResponseFunctionToolCall( + id=FAKE_RESPONSES_ID, + arguments="", + name="", + type="function_call", + call_id="", + ) + tc_function = tc_delta.function + + state.function_calls[tc_delta.index].arguments += ( + tc_function.arguments if tc_function else "" + ) or "" + state.function_calls[tc_delta.index].name += ( + tc_function.name if tc_function else "" + ) or "" + state.function_calls[tc_delta.index].call_id += tc_delta.id or "" + + function_call_starting_index = 0 + if state.text_content_index_and_output: + function_call_starting_index += 1 + # Send end event for this content part + yield ResponseContentPartDoneEvent( + content_index=state.text_content_index_and_output[0], + item_id=FAKE_RESPONSES_ID, + output_index=0, + part=state.text_content_index_and_output[1], + type="response.content_part.done", + ) + + if state.refusal_content_index_and_output: + function_call_starting_index += 1 + # Send end event for this content part + yield ResponseContentPartDoneEvent( + content_index=state.refusal_content_index_and_output[0], + item_id=FAKE_RESPONSES_ID, + output_index=0, + part=state.refusal_content_index_and_output[1], + type="response.content_part.done", + ) + + # Actually send events for the function calls + for function_call in state.function_calls.values(): + # First, a ResponseOutputItemAdded for the function call + yield ResponseOutputItemAddedEvent( + item=ResponseFunctionToolCall( + id=FAKE_RESPONSES_ID, + call_id=function_call.call_id, + arguments=function_call.arguments, + name=function_call.name, + type="function_call", + ), + output_index=function_call_starting_index, + type="response.output_item.added", + ) + # Then, yield the args + yield ResponseFunctionCallArgumentsDeltaEvent( + delta=function_call.arguments, + item_id=FAKE_RESPONSES_ID, + output_index=function_call_starting_index, + type="response.function_call_arguments.delta", + ) + # Finally, the ResponseOutputItemDone + yield ResponseOutputItemDoneEvent( + item=ResponseFunctionToolCall( + id=FAKE_RESPONSES_ID, + call_id=function_call.call_id, + arguments=function_call.arguments, + name=function_call.name, + type="function_call", + ), + output_index=function_call_starting_index, + type="response.output_item.done", + ) + + # Finally, send the Response completed event + outputs: list[ResponseOutputItem] = [] + if state.text_content_index_and_output or state.refusal_content_index_and_output: + assistant_msg = ResponseOutputMessage( + id=FAKE_RESPONSES_ID, + content=[], + role="assistant", + type="message", + status="completed", + ) + if state.text_content_index_and_output: + assistant_msg.content.append(state.text_content_index_and_output[1]) + if state.refusal_content_index_and_output: + assistant_msg.content.append(state.refusal_content_index_and_output[1]) + outputs.append(assistant_msg) + + # send a ResponseOutputItemDone for the assistant message + yield ResponseOutputItemDoneEvent( + item=assistant_msg, + output_index=0, + type="response.output_item.done", + ) + + for function_call in state.function_calls.values(): + outputs.append(function_call) + + final_response = response.model_copy() + final_response.output = outputs + final_response.usage = ( + ResponseUsage( + input_tokens=usage.prompt_tokens, + output_tokens=usage.completion_tokens, + total_tokens=usage.total_tokens, + output_tokens_details=OutputTokensDetails( + reasoning_tokens=usage.completion_tokens_details.reasoning_tokens + if usage.completion_tokens_details + and usage.completion_tokens_details.reasoning_tokens + else 0 + ), + input_tokens_details=InputTokensDetails( + cached_tokens=usage.prompt_tokens_details.cached_tokens + if usage.prompt_tokens_details and usage.prompt_tokens_details.cached_tokens + else 0 + ), + ) + if usage + else None + ) + + yield ResponseCompletedEvent( + response=final_response, + type="response.completed", + ) diff --git a/src/agents/models/openai_chatcompletions.py b/src/agents/models/openai_chatcompletions.py index e3db9b968..c399168de 100644 --- a/src/agents/models/openai_chatcompletions.py +++ b/src/agents/models/openai_chatcompletions.py @@ -4,32 +4,12 @@ import json import time from collections.abc import AsyncIterator -from dataclasses import dataclass, field from typing import TYPE_CHECKING, Any, Literal, cast, overload from openai import NOT_GIVEN, AsyncOpenAI, AsyncStream from openai.types import ChatModel from openai.types.chat import ChatCompletion, ChatCompletionChunk -from openai.types.completion_usage import CompletionUsage -from openai.types.responses import ( - Response, - ResponseCompletedEvent, - ResponseContentPartAddedEvent, - ResponseContentPartDoneEvent, - ResponseCreatedEvent, - ResponseFunctionCallArgumentsDeltaEvent, - ResponseFunctionToolCall, - ResponseOutputItem, - ResponseOutputItemAddedEvent, - ResponseOutputItemDoneEvent, - ResponseOutputMessage, - ResponseOutputRefusal, - ResponseOutputText, - ResponseRefusalDeltaEvent, - ResponseTextDeltaEvent, - ResponseUsage, -) -from openai.types.responses.response_usage import InputTokensDetails, OutputTokensDetails +from openai.types.responses import Response from .. import _debug from ..agent_output import AgentOutputSchema @@ -43,6 +23,7 @@ from ..usage import Usage from ..version import __version__ from .chatcmpl_converter import Converter +from .chatcmpl_stream_handler import ChatCmplStreamHandler from .fake_id import FAKE_RESPONSES_ID from .interface import Model, ModelTracing @@ -54,14 +35,6 @@ _HEADERS = {"User-Agent": _USER_AGENT} -@dataclass -class _StreamingState: - started: bool = False - text_content_index_and_output: tuple[int, ResponseOutputText] | None = None - refusal_content_index_and_output: tuple[int, ResponseOutputRefusal] | None = None - function_calls: dict[int, ResponseFunctionToolCall] = field(default_factory=dict) - - class OpenAIChatCompletionsModel(Model): def __init__( self, @@ -168,257 +141,20 @@ async def stream_response( stream=True, ) - usage: CompletionUsage | None = None - state = _StreamingState() - - async for chunk in stream: - if not state.started: - state.started = True - yield ResponseCreatedEvent( - response=response, - type="response.created", - ) - - # The usage is only available in the last chunk - usage = chunk.usage - - if not chunk.choices or not chunk.choices[0].delta: - continue - - delta = chunk.choices[0].delta - - # Handle text - if delta.content: - if not state.text_content_index_and_output: - # Initialize a content tracker for streaming text - state.text_content_index_and_output = ( - 0 if not state.refusal_content_index_and_output else 1, - ResponseOutputText( - text="", - type="output_text", - annotations=[], - ), - ) - # Start a new assistant message stream - assistant_item = ResponseOutputMessage( - id=FAKE_RESPONSES_ID, - content=[], - role="assistant", - type="message", - status="in_progress", - ) - # Notify consumers of the start of a new output message + first content part - yield ResponseOutputItemAddedEvent( - item=assistant_item, - output_index=0, - type="response.output_item.added", - ) - yield ResponseContentPartAddedEvent( - content_index=state.text_content_index_and_output[0], - item_id=FAKE_RESPONSES_ID, - output_index=0, - part=ResponseOutputText( - text="", - type="output_text", - annotations=[], - ), - type="response.content_part.added", - ) - # Emit the delta for this segment of content - yield ResponseTextDeltaEvent( - content_index=state.text_content_index_and_output[0], - delta=delta.content, - item_id=FAKE_RESPONSES_ID, - output_index=0, - type="response.output_text.delta", - ) - # Accumulate the text into the response part - state.text_content_index_and_output[1].text += delta.content - - # Handle refusals (model declines to answer) - if delta.refusal: - if not state.refusal_content_index_and_output: - # Initialize a content tracker for streaming refusal text - state.refusal_content_index_and_output = ( - 0 if not state.text_content_index_and_output else 1, - ResponseOutputRefusal(refusal="", type="refusal"), - ) - # Start a new assistant message if one doesn't exist yet (in-progress) - assistant_item = ResponseOutputMessage( - id=FAKE_RESPONSES_ID, - content=[], - role="assistant", - type="message", - status="in_progress", - ) - # Notify downstream that assistant message + first content part are starting - yield ResponseOutputItemAddedEvent( - item=assistant_item, - output_index=0, - type="response.output_item.added", - ) - yield ResponseContentPartAddedEvent( - content_index=state.refusal_content_index_and_output[0], - item_id=FAKE_RESPONSES_ID, - output_index=0, - part=ResponseOutputText( - text="", - type="output_text", - annotations=[], - ), - type="response.content_part.added", - ) - # Emit the delta for this segment of refusal - yield ResponseRefusalDeltaEvent( - content_index=state.refusal_content_index_and_output[0], - delta=delta.refusal, - item_id=FAKE_RESPONSES_ID, - output_index=0, - type="response.refusal.delta", - ) - # Accumulate the refusal string in the output part - state.refusal_content_index_and_output[1].refusal += delta.refusal - - # Handle tool calls - # Because we don't know the name of the function until the end of the stream, we'll - # save everything and yield events at the end - if delta.tool_calls: - for tc_delta in delta.tool_calls: - if tc_delta.index not in state.function_calls: - state.function_calls[tc_delta.index] = ResponseFunctionToolCall( - id=FAKE_RESPONSES_ID, - arguments="", - name="", - type="function_call", - call_id="", - ) - tc_function = tc_delta.function - - state.function_calls[tc_delta.index].arguments += ( - tc_function.arguments if tc_function else "" - ) or "" - state.function_calls[tc_delta.index].name += ( - tc_function.name if tc_function else "" - ) or "" - state.function_calls[tc_delta.index].call_id += tc_delta.id or "" - - function_call_starting_index = 0 - if state.text_content_index_and_output: - function_call_starting_index += 1 - # Send end event for this content part - yield ResponseContentPartDoneEvent( - content_index=state.text_content_index_and_output[0], - item_id=FAKE_RESPONSES_ID, - output_index=0, - part=state.text_content_index_and_output[1], - type="response.content_part.done", - ) - - if state.refusal_content_index_and_output: - function_call_starting_index += 1 - # Send end event for this content part - yield ResponseContentPartDoneEvent( - content_index=state.refusal_content_index_and_output[0], - item_id=FAKE_RESPONSES_ID, - output_index=0, - part=state.refusal_content_index_and_output[1], - type="response.content_part.done", - ) - - # Actually send events for the function calls - for function_call in state.function_calls.values(): - # First, a ResponseOutputItemAdded for the function call - yield ResponseOutputItemAddedEvent( - item=ResponseFunctionToolCall( - id=FAKE_RESPONSES_ID, - call_id=function_call.call_id, - arguments=function_call.arguments, - name=function_call.name, - type="function_call", - ), - output_index=function_call_starting_index, - type="response.output_item.added", - ) - # Then, yield the args - yield ResponseFunctionCallArgumentsDeltaEvent( - delta=function_call.arguments, - item_id=FAKE_RESPONSES_ID, - output_index=function_call_starting_index, - type="response.function_call_arguments.delta", - ) - # Finally, the ResponseOutputItemDone - yield ResponseOutputItemDoneEvent( - item=ResponseFunctionToolCall( - id=FAKE_RESPONSES_ID, - call_id=function_call.call_id, - arguments=function_call.arguments, - name=function_call.name, - type="function_call", - ), - output_index=function_call_starting_index, - type="response.output_item.done", - ) - - # Finally, send the Response completed event - outputs: list[ResponseOutputItem] = [] - if state.text_content_index_and_output or state.refusal_content_index_and_output: - assistant_msg = ResponseOutputMessage( - id=FAKE_RESPONSES_ID, - content=[], - role="assistant", - type="message", - status="completed", - ) - if state.text_content_index_and_output: - assistant_msg.content.append(state.text_content_index_and_output[1]) - if state.refusal_content_index_and_output: - assistant_msg.content.append(state.refusal_content_index_and_output[1]) - outputs.append(assistant_msg) - - # send a ResponseOutputItemDone for the assistant message - yield ResponseOutputItemDoneEvent( - item=assistant_msg, - output_index=0, - type="response.output_item.done", - ) + final_response: Response | None = None + async for chunk in ChatCmplStreamHandler.handle_stream(response, stream): + yield chunk - for function_call in state.function_calls.values(): - outputs.append(function_call) - - final_response = response.model_copy() - final_response.output = outputs - final_response.usage = ( - ResponseUsage( - input_tokens=usage.prompt_tokens, - output_tokens=usage.completion_tokens, - total_tokens=usage.total_tokens, - output_tokens_details=OutputTokensDetails( - reasoning_tokens=usage.completion_tokens_details.reasoning_tokens - if usage.completion_tokens_details - and usage.completion_tokens_details.reasoning_tokens - else 0 - ), - input_tokens_details=InputTokensDetails( - cached_tokens=usage.prompt_tokens_details.cached_tokens - if usage.prompt_tokens_details and usage.prompt_tokens_details.cached_tokens - else 0 - ), - ) - if usage - else None - ) + if chunk.type == "response.completed": + final_response = chunk.response - yield ResponseCompletedEvent( - response=final_response, - type="response.completed", - ) - if tracing.include_data(): + if tracing.include_data() and final_response: span_generation.span_data.output = [final_response.model_dump()] - if usage: + if final_response and final_response.usage: span_generation.span_data.usage = { - "input_tokens": usage.prompt_tokens, - "output_tokens": usage.completion_tokens, + "input_tokens": final_response.usage.input_tokens, + "output_tokens": final_response.usage.output_tokens, } @overload From 731a2acd9317ebcc86736048873dc5c135477865 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 15 Apr 2025 18:27:01 -0400 Subject: [PATCH 066/337] Litellm integration --- examples/model_providers/litellm_provider.py | 53 + pyproject.toml | 1 + src/agents/extensions/models/__init__.py | 0 src/agents/extensions/models/litellm_model.py | 379 +++++++ src/agents/models/chatcmpl_helpers.py | 36 + src/agents/models/openai_chatcompletions.py | 40 +- tests/test_openai_chatcompletions.py | 14 +- uv.lock | 988 ++++++++++++++++-- 8 files changed, 1401 insertions(+), 110 deletions(-) create mode 100644 examples/model_providers/litellm_provider.py create mode 100644 src/agents/extensions/models/__init__.py create mode 100644 src/agents/extensions/models/litellm_model.py create mode 100644 src/agents/models/chatcmpl_helpers.py diff --git a/examples/model_providers/litellm_provider.py b/examples/model_providers/litellm_provider.py new file mode 100644 index 000000000..1c50d1fa5 --- /dev/null +++ b/examples/model_providers/litellm_provider.py @@ -0,0 +1,53 @@ +import asyncio + +from agents import Agent, Runner, function_tool, set_tracing_disabled +from agents.extensions.models.litellm_model import LitellmModel + +"""This example uses the LitellmModel directly, to hit any model provider. +You can run it like this: +uv run examples/model_providers/litellm_provider.py --model anthropic/claude-3-5-sonnet-20240620 +or +uv run examples/model_providers/litellm_provider.py --model gemini/gemini-2.0-flash + +Find more providers here: https://docs.litellm.ai/docs/providers +""" + +set_tracing_disabled(disabled=True) + + +@function_tool +def get_weather(city: str): + print(f"[debug] getting weather for {city}") + return f"The weather in {city} is sunny." + + +async def main(model: str, api_key: str): + agent = Agent( + name="Assistant", + instructions="You only respond in haikus.", + model=LitellmModel(model=model, api_key=api_key), + tools=[get_weather], + ) + + result = await Runner.run(agent, "What's the weather in Tokyo?") + print(result.final_output) + + +if __name__ == "__main__": + # First try to get model/api key from args + import argparse + + parser = argparse.ArgumentParser() + parser.add_argument("--model", type=str, required=False) + parser.add_argument("--api-key", type=str, required=False) + args = parser.parse_args() + + model = args.model + if not model: + model = input("Enter a model name for Litellm: ") + + api_key = args.api_key + if not api_key: + api_key = input("Enter an API key for Litellm: ") + + asyncio.run(main(model, api_key)) diff --git a/pyproject.toml b/pyproject.toml index 1eefadd93..1eb8c63e7 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -36,6 +36,7 @@ Repository = "https://github.com/openai/openai-agents-python" [project.optional-dependencies] voice = ["numpy>=2.2.0, <3; python_version>='3.10'", "websockets>=15.0, <16"] viz = ["graphviz>=0.17"] +litellm = ["litellm>=1.65.0, <2"] [dependency-groups] dev = [ diff --git a/src/agents/extensions/models/__init__.py b/src/agents/extensions/models/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/src/agents/extensions/models/litellm_model.py b/src/agents/extensions/models/litellm_model.py new file mode 100644 index 000000000..4818992ba --- /dev/null +++ b/src/agents/extensions/models/litellm_model.py @@ -0,0 +1,379 @@ +import dataclasses +import json +import time +from collections.abc import AsyncIterator +from typing import Any, Literal, cast, overload + +import litellm.types + +from agents.exceptions import ModelBehaviorError + +try: + import litellm +except ImportError as _e: + raise ImportError( + "`litellm` is required to use the LitellmModel. You can install it via the optional " + "dependency group: `pip install 'openai-agents[litellm]'`." + ) from _e + +import litellm.types.utils +from openai import NOT_GIVEN, AsyncStream, NotGiven +from openai.types.chat import ChatCompletionChunk, ChatCompletionMessageToolCall +from openai.types.chat.chat_completion_message import ( + Annotation, + AnnotationURLCitation, + ChatCompletionMessage, +) +from openai.types.chat.chat_completion_message_tool_call import Function +from openai.types.responses import Response + +from ... import _debug +from ...agent_output import AgentOutputSchema +from ...handoffs import Handoff +from ...items import ModelResponse, TResponseInputItem, TResponseStreamEvent +from ...logger import logger +from ...model_settings import ModelSettings +from ...models.chatcmpl_converter import Converter +from ...models.chatcmpl_helpers import HEADERS +from ...models.chatcmpl_stream_handler import ChatCmplStreamHandler +from ...models.fake_id import FAKE_RESPONSES_ID +from ...models.interface import Model, ModelTracing +from ...tool import Tool +from ...tracing import generation_span +from ...tracing.span_data import GenerationSpanData +from ...tracing.spans import Span +from ...usage import Usage + + +class LitellmModel(Model): + def __init__( + self, + model: str, + base_url: str | None = None, + api_key: str | None = None, + ): + self.model = model + self.base_url = base_url + self.api_key = api_key + + async def get_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + tracing: ModelTracing, + previous_response_id: str | None, + ) -> ModelResponse: + with generation_span( + model=str(self.model), + model_config=dataclasses.asdict(model_settings) + | {"base_url": str(self.base_url or ""), "model_impl": "litellm"}, + disabled=tracing.is_disabled(), + ) as span_generation: + response = await self._fetch_response( + system_instructions, + input, + model_settings, + tools, + output_schema, + handoffs, + span_generation, + tracing, + stream=False, + ) + + assert isinstance(response.choices[0], litellm.types.utils.Choices) + + if _debug.DONT_LOG_MODEL_DATA: + logger.debug("Received model response") + else: + logger.debug( + f"LLM resp:\n{json.dumps(response.choices[0].message.model_dump(), indent=2)}\n" + ) + + if hasattr(response, "usage"): + response_usage = response.usage + usage = ( + Usage( + requests=1, + input_tokens=response_usage.prompt_tokens, + output_tokens=response_usage.completion_tokens, + total_tokens=response_usage.total_tokens, + ) + if response.usage + else Usage() + ) + else: + usage = Usage() + logger.warning("No usage information returned from Litellm") + + if tracing.include_data(): + span_generation.span_data.output = [response.choices[0].message.model_dump()] + span_generation.span_data.usage = { + "input_tokens": usage.input_tokens, + "output_tokens": usage.output_tokens, + } + + items = Converter.message_to_output_items( + LitellmConverter.convert_message_to_openai(response.choices[0].message) + ) + + return ModelResponse( + output=items, + usage=usage, + response_id=None, + ) + + async def stream_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + tracing: ModelTracing, + *, + previous_response_id: str | None, + ) -> AsyncIterator[TResponseStreamEvent]: + """ + Yields a partial message as it is generated, as well as the usage information. + """ + with generation_span( + model=str(self.model), + model_config=dataclasses.asdict(model_settings) + | {"base_url": str(self.base_url or ""), "model_impl": "litellm"}, + disabled=tracing.is_disabled(), + ) as span_generation: + response, stream = await self._fetch_response( + system_instructions, + input, + model_settings, + tools, + output_schema, + handoffs, + span_generation, + tracing, + stream=True, + ) + + final_response: Response | None = None + async for chunk in ChatCmplStreamHandler.handle_stream(response, stream): + yield chunk + + if chunk.type == "response.completed": + final_response = chunk.response + + if tracing.include_data() and final_response: + span_generation.span_data.output = [final_response.model_dump()] + + if final_response and final_response.usage: + span_generation.span_data.usage = { + "input_tokens": final_response.usage.input_tokens, + "output_tokens": final_response.usage.output_tokens, + } + + @overload + async def _fetch_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + span: Span[GenerationSpanData], + tracing: ModelTracing, + stream: Literal[True], + ) -> tuple[Response, AsyncStream[ChatCompletionChunk]]: ... + + @overload + async def _fetch_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + span: Span[GenerationSpanData], + tracing: ModelTracing, + stream: Literal[False], + ) -> litellm.types.utils.ModelResponse: ... + + async def _fetch_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + span: Span[GenerationSpanData], + tracing: ModelTracing, + stream: bool = False, + ) -> litellm.types.utils.ModelResponse | tuple[Response, AsyncStream[ChatCompletionChunk]]: + converted_messages = Converter.items_to_messages(input) + + if system_instructions: + converted_messages.insert( + 0, + { + "content": system_instructions, + "role": "system", + }, + ) + if tracing.include_data(): + span.span_data.input = converted_messages + + parallel_tool_calls = ( + True + if model_settings.parallel_tool_calls and tools and len(tools) > 0 + else False + if model_settings.parallel_tool_calls is False + else None + ) + tool_choice = Converter.convert_tool_choice(model_settings.tool_choice) + response_format = Converter.convert_response_format(output_schema) + + converted_tools = [Converter.tool_to_openai(tool) for tool in tools] if tools else [] + + for handoff in handoffs: + converted_tools.append(Converter.convert_handoff_tool(handoff)) + + if _debug.DONT_LOG_MODEL_DATA: + logger.debug("Calling LLM") + else: + logger.debug( + f"Calling Litellm model: {self.model}\n" + f"{json.dumps(converted_messages, indent=2)}\n" + f"Tools:\n{json.dumps(converted_tools, indent=2)}\n" + f"Stream: {stream}\n" + f"Tool choice: {tool_choice}\n" + f"Response format: {response_format}\n" + ) + + reasoning_effort = model_settings.reasoning.effort if model_settings.reasoning else None + + stream_options = None + if stream and model_settings.include_usage is not None: + stream_options = {"include_usage": model_settings.include_usage} + + extra_kwargs = {} + if model_settings.extra_query: + extra_kwargs["extra_query"] = model_settings.extra_query + if model_settings.metadata: + extra_kwargs["metadata"] = model_settings.metadata + + ret = await litellm.acompletion( + model=self.model, + messages=converted_messages, + tools=converted_tools or None, + temperature=model_settings.temperature, + top_p=model_settings.top_p, + frequency_penalty=model_settings.frequency_penalty, + presence_penalty=model_settings.presence_penalty, + max_tokens=model_settings.max_tokens, + tool_choice=self._remove_not_given(tool_choice), + response_format=self._remove_not_given(response_format), + parallel_tool_calls=parallel_tool_calls, + stream=stream, + stream_options=stream_options, + reasoning_effort=reasoning_effort, + extra_headers=HEADERS, + api_key=self.api_key, + base_url=self.base_url, + **extra_kwargs, + ) + + if isinstance(ret, litellm.types.utils.ModelResponse): + return ret + + response = Response( + id=FAKE_RESPONSES_ID, + created_at=time.time(), + model=self.model, + object="response", + output=[], + tool_choice=cast(Literal["auto", "required", "none"], tool_choice) + if tool_choice != NOT_GIVEN + else "auto", + top_p=model_settings.top_p, + temperature=model_settings.temperature, + tools=[], + parallel_tool_calls=parallel_tool_calls or False, + reasoning=model_settings.reasoning, + ) + return response, ret + + def _remove_not_given(self, value: Any) -> Any: + if isinstance(value, NotGiven): + return None + return value + + +class LitellmConverter: + @classmethod + def convert_message_to_openai( + cls, message: litellm.types.utils.Message + ) -> ChatCompletionMessage: + if message.role != "assistant": + raise ModelBehaviorError(f"Unsupported role: {message.role}") + + tool_calls = ( + [LitellmConverter.convert_tool_call_to_openai(tool) for tool in message.tool_calls] + if message.tool_calls + else None + ) + + provider_specific_fields = message.get("provider_specific_fields", None) + refusal = ( + provider_specific_fields.get("refusal", None) if provider_specific_fields else None + ) + + return ChatCompletionMessage( + content=message.content, + refusal=refusal, + role="assistant", + annotations=cls.convert_annotations_to_openai(message), + audio=message.get("audio", None), # litellm deletes audio if not present + tool_calls=tool_calls, + ) + + @classmethod + def convert_annotations_to_openai( + cls, message: litellm.types.utils.Message + ) -> list[Annotation] | None: + annotations: list[litellm.types.llms.openai.ChatCompletionAnnotation] | None = message.get( + "annotations", None + ) + if not annotations: + return None + + return [ + Annotation( + type="url_citation", + url_citation=AnnotationURLCitation( + start_index=annotation["url_citation"]["start_index"], + end_index=annotation["url_citation"]["end_index"], + url=annotation["url_citation"]["url"], + title=annotation["url_citation"]["title"], + ), + ) + for annotation in annotations + ] + + @classmethod + def convert_tool_call_to_openai( + cls, tool_call: litellm.types.utils.ChatCompletionMessageToolCall + ) -> ChatCompletionMessageToolCall: + return ChatCompletionMessageToolCall( + id=tool_call.id, + type="function", + function=Function( + name=tool_call.function.name or "", arguments=tool_call.function.arguments + ), + ) diff --git a/src/agents/models/chatcmpl_helpers.py b/src/agents/models/chatcmpl_helpers.py new file mode 100644 index 000000000..bc02aa1a1 --- /dev/null +++ b/src/agents/models/chatcmpl_helpers.py @@ -0,0 +1,36 @@ +from openai import AsyncOpenAI + +from agents.model_settings import ModelSettings + +from ..version import __version__ + +_USER_AGENT = f"Agents/Python {__version__}" +HEADERS = {"User-Agent": _USER_AGENT} + + +class ChatCmplHelpers: + @classmethod + def is_openai(cls, client: AsyncOpenAI): + return str(client.base_url).startswith("https://api.openai.com") + + @classmethod + def get_store_param(cls, client: AsyncOpenAI, model_settings: ModelSettings) -> bool | None: + # Match the behavior of Responses where store is True when not given + default_store = True if cls.is_openai(client) else None + return model_settings.store if model_settings.store is not None else default_store + + @classmethod + def get_stream_options_param( + cls, client: AsyncOpenAI, model_settings: ModelSettings, stream: bool + ) -> dict[str, bool] | None: + if not stream: + return None + + default_include_usage = True if cls.is_openai(client) else None + include_usage = ( + model_settings.include_usage + if model_settings.include_usage is not None + else default_include_usage + ) + stream_options = {"include_usage": include_usage} if include_usage is not None else None + return stream_options diff --git a/src/agents/models/openai_chatcompletions.py b/src/agents/models/openai_chatcompletions.py index c399168de..9989c1ee0 100644 --- a/src/agents/models/openai_chatcompletions.py +++ b/src/agents/models/openai_chatcompletions.py @@ -21,8 +21,8 @@ from ..tracing.span_data import GenerationSpanData from ..tracing.spans import Span from ..usage import Usage -from ..version import __version__ from .chatcmpl_converter import Converter +from .chatcmpl_helpers import HEADERS, ChatCmplHelpers from .chatcmpl_stream_handler import ChatCmplStreamHandler from .fake_id import FAKE_RESPONSES_ID from .interface import Model, ModelTracing @@ -31,10 +31,6 @@ from ..model_settings import ModelSettings -_USER_AGENT = f"Agents/Python {__version__}" -_HEADERS = {"User-Agent": _USER_AGENT} - - class OpenAIChatCompletionsModel(Model): def __init__( self, @@ -237,9 +233,9 @@ async def _fetch_response( ) reasoning_effort = model_settings.reasoning.effort if model_settings.reasoning else None - store = _Helpers.get_store_param(self._get_client(), model_settings) + store = ChatCmplHelpers.get_store_param(self._get_client(), model_settings) - stream_options = _Helpers.get_stream_options_param( + stream_options = ChatCmplHelpers.get_stream_options_param( self._get_client(), model_settings, stream=stream ) @@ -259,7 +255,7 @@ async def _fetch_response( stream_options=self._non_null_or_not_given(stream_options), store=self._non_null_or_not_given(store), reasoning_effort=self._non_null_or_not_given(reasoning_effort), - extra_headers=_HEADERS, + extra_headers=HEADERS, extra_query=model_settings.extra_query, extra_body=model_settings.extra_body, metadata=self._non_null_or_not_given(model_settings.metadata), @@ -289,31 +285,3 @@ def _get_client(self) -> AsyncOpenAI: if self._client is None: self._client = AsyncOpenAI() return self._client - - -class _Helpers: - @classmethod - def is_openai(cls, client: AsyncOpenAI): - return str(client.base_url).startswith("https://api.openai.com") - - @classmethod - def get_store_param(cls, client: AsyncOpenAI, model_settings: ModelSettings) -> bool | None: - # Match the behavior of Responses where store is True when not given - default_store = True if cls.is_openai(client) else None - return model_settings.store if model_settings.store is not None else default_store - - @classmethod - def get_stream_options_param( - cls, client: AsyncOpenAI, model_settings: ModelSettings, stream: bool - ) -> dict[str, bool] | None: - if not stream: - return None - - default_include_usage = True if cls.is_openai(client) else None - include_usage = ( - model_settings.include_usage - if model_settings.include_usage is not None - else default_include_usage - ) - stream_options = {"include_usage": include_usage} if include_usage is not None else None - return stream_options diff --git a/tests/test_openai_chatcompletions.py b/tests/test_openai_chatcompletions.py index b0fc1f321..ba3ec68d0 100644 --- a/tests/test_openai_chatcompletions.py +++ b/tests/test_openai_chatcompletions.py @@ -30,8 +30,8 @@ OpenAIProvider, generation_span, ) +from agents.models.chatcmpl_helpers import ChatCmplHelpers from agents.models.fake_id import FAKE_RESPONSES_ID -from agents.models.openai_chatcompletions import _Helpers @pytest.mark.allow_call_model_methods @@ -301,32 +301,32 @@ def test_store_param(): model_settings = ModelSettings() client = AsyncOpenAI() - assert _Helpers.get_store_param(client, model_settings) is True, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is True, ( "Should default to True for OpenAI API calls" ) model_settings = ModelSettings(store=False) - assert _Helpers.get_store_param(client, model_settings) is False, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is False, ( "Should respect explicitly set store=False" ) model_settings = ModelSettings(store=True) - assert _Helpers.get_store_param(client, model_settings) is True, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is True, ( "Should respect explicitly set store=True" ) client = AsyncOpenAI(base_url="http://www.notopenai.com") model_settings = ModelSettings() - assert _Helpers.get_store_param(client, model_settings) is None, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is None, ( "Should default to None for non-OpenAI API calls" ) model_settings = ModelSettings(store=False) - assert _Helpers.get_store_param(client, model_settings) is False, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is False, ( "Should respect explicitly set store=False" ) model_settings = ModelSettings(store=True) - assert _Helpers.get_store_param(client, model_settings) is True, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is True, ( "Should respect explicitly set store=True" ) diff --git a/uv.lock b/uv.lock index d4b825461..10a991a26 100644 --- a/uv.lock +++ b/uv.lock @@ -6,6 +6,125 @@ resolution-markers = [ "python_full_version < '3.10'", ] +[[package]] +name = "aiohappyeyeballs" +version = "2.6.1" 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tests/test_openai_chatcompletions.py | 14 +- uv.lock | 988 ++++++++++++++++-- 8 files changed, 1406 insertions(+), 110 deletions(-) create mode 100644 examples/model_providers/litellm_provider.py create mode 100644 src/agents/extensions/models/__init__.py create mode 100644 src/agents/extensions/models/litellm_model.py create mode 100644 src/agents/models/chatcmpl_helpers.py diff --git a/examples/model_providers/litellm_provider.py b/examples/model_providers/litellm_provider.py new file mode 100644 index 000000000..2e6635e28 --- /dev/null +++ b/examples/model_providers/litellm_provider.py @@ -0,0 +1,56 @@ +from __future__ import annotations + +import asyncio + +from agents import Agent, Runner, function_tool, set_tracing_disabled +from agents.extensions.models.litellm_model import LitellmModel + +"""This example uses the LitellmModel directly, to hit any model provider. +You can run it like this: +uv run examples/model_providers/litellm_provider.py --model anthropic/claude-3-5-sonnet-20240620 +or +uv run examples/model_providers/litellm_provider.py --model gemini/gemini-2.0-flash + +Find more providers here: https://docs.litellm.ai/docs/providers +""" + +set_tracing_disabled(disabled=True) + + +@function_tool +def get_weather(city: str): + print(f"[debug] getting weather for {city}") + return f"The weather in {city} is sunny." + + +async def main(model: str, api_key: str): + agent = Agent( + name="Assistant", + instructions="You only respond in haikus.", + model=LitellmModel(model=model, api_key=api_key), + tools=[get_weather], + ) + + result = await Runner.run(agent, "What's the weather in Tokyo?") + print(result.final_output) + + +if __name__ == "__main__": + # First try to get model/api key from args + import argparse + + parser = argparse.ArgumentParser() + parser.add_argument("--model", type=str, required=False) + parser.add_argument("--api-key", type=str, required=False) + args = parser.parse_args() + + model = args.model + if not model: + model = input("Enter a model name for Litellm: ") + + api_key = args.api_key + if not api_key: + api_key = input("Enter an API key for Litellm: ") + + asyncio.run(main(model, api_key)) + asyncio.run(main(model, api_key)) diff --git a/pyproject.toml b/pyproject.toml index 1eefadd93..1eb8c63e7 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -36,6 +36,7 @@ Repository = "https://github.com/openai/openai-agents-python" [project.optional-dependencies] voice = ["numpy>=2.2.0, <3; python_version>='3.10'", "websockets>=15.0, <16"] viz = ["graphviz>=0.17"] +litellm = ["litellm>=1.65.0, <2"] [dependency-groups] dev = [ diff --git a/src/agents/extensions/models/__init__.py b/src/agents/extensions/models/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/src/agents/extensions/models/litellm_model.py b/src/agents/extensions/models/litellm_model.py new file mode 100644 index 000000000..915a1ccbd --- /dev/null +++ b/src/agents/extensions/models/litellm_model.py @@ -0,0 +1,380 @@ +from __future__ import annotations + +import dataclasses +import json +import time +from collections.abc import AsyncIterator +from typing import Any, Literal, cast, overload + +import litellm.types + +from agents.exceptions import ModelBehaviorError + +try: + import litellm +except ImportError as _e: + raise ImportError( + "`litellm` is required to use the LitellmModel. You can install it via the optional " + "dependency group: `pip install 'openai-agents[litellm]'`." + ) from _e + +from openai import NOT_GIVEN, AsyncStream, NotGiven +from openai.types.chat import ChatCompletionChunk, ChatCompletionMessageToolCall +from openai.types.chat.chat_completion_message import ( + Annotation, + AnnotationURLCitation, + ChatCompletionMessage, +) +from openai.types.chat.chat_completion_message_tool_call import Function +from openai.types.responses import Response + +from ... import _debug +from ...agent_output import AgentOutputSchema +from ...handoffs import Handoff +from ...items import ModelResponse, TResponseInputItem, TResponseStreamEvent +from ...logger import logger +from ...model_settings import ModelSettings +from ...models.chatcmpl_converter import Converter +from ...models.chatcmpl_helpers import HEADERS +from ...models.chatcmpl_stream_handler import ChatCmplStreamHandler +from ...models.fake_id import FAKE_RESPONSES_ID +from ...models.interface import Model, ModelTracing +from ...tool import Tool +from ...tracing import generation_span +from ...tracing.span_data import GenerationSpanData +from ...tracing.spans import Span +from ...usage import Usage + + +class LitellmModel(Model): + def __init__( + self, + model: str, + base_url: str | None = None, + api_key: str | None = None, + ): + self.model = model + self.base_url = base_url + self.api_key = api_key + + async def get_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + tracing: ModelTracing, + previous_response_id: str | None, + ) -> ModelResponse: + with generation_span( + model=str(self.model), + model_config=dataclasses.asdict(model_settings) + | {"base_url": str(self.base_url or ""), "model_impl": "litellm"}, + disabled=tracing.is_disabled(), + ) as span_generation: + response = await self._fetch_response( + system_instructions, + input, + model_settings, + tools, + output_schema, + handoffs, + span_generation, + tracing, + stream=False, + ) + + assert isinstance(response.choices[0], litellm.types.utils.Choices) + + if _debug.DONT_LOG_MODEL_DATA: + logger.debug("Received model response") + else: + logger.debug( + f"LLM resp:\n{json.dumps(response.choices[0].message.model_dump(), indent=2)}\n" + ) + + if hasattr(response, "usage"): + response_usage = response.usage + usage = ( + Usage( + requests=1, + input_tokens=response_usage.prompt_tokens, + output_tokens=response_usage.completion_tokens, + total_tokens=response_usage.total_tokens, + ) + if response.usage + else Usage() + ) + else: + usage = Usage() + logger.warning("No usage information returned from Litellm") + + if tracing.include_data(): + span_generation.span_data.output = [response.choices[0].message.model_dump()] + span_generation.span_data.usage = { + "input_tokens": usage.input_tokens, + "output_tokens": usage.output_tokens, + } + + items = Converter.message_to_output_items( + LitellmConverter.convert_message_to_openai(response.choices[0].message) + ) + + return ModelResponse( + output=items, + usage=usage, + response_id=None, + ) + + async def stream_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + tracing: ModelTracing, + *, + previous_response_id: str | None, + ) -> AsyncIterator[TResponseStreamEvent]: + """ + Yields a partial message as it is generated, as well as the usage information. + """ + with generation_span( + model=str(self.model), + model_config=dataclasses.asdict(model_settings) + | {"base_url": str(self.base_url or ""), "model_impl": "litellm"}, + disabled=tracing.is_disabled(), + ) as span_generation: + response, stream = await self._fetch_response( + system_instructions, + input, + model_settings, + tools, + output_schema, + handoffs, + span_generation, + tracing, + stream=True, + ) + + final_response: Response | None = None + async for chunk in ChatCmplStreamHandler.handle_stream(response, stream): + yield chunk + + if chunk.type == "response.completed": + final_response = chunk.response + + if tracing.include_data() and final_response: + span_generation.span_data.output = [final_response.model_dump()] + + if final_response and final_response.usage: + span_generation.span_data.usage = { + "input_tokens": final_response.usage.input_tokens, + "output_tokens": final_response.usage.output_tokens, + } + + @overload + async def _fetch_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + span: Span[GenerationSpanData], + tracing: ModelTracing, + stream: Literal[True], + ) -> tuple[Response, AsyncStream[ChatCompletionChunk]]: ... + + @overload + async def _fetch_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + span: Span[GenerationSpanData], + tracing: ModelTracing, + stream: Literal[False], + ) -> litellm.types.utils.ModelResponse: ... + + async def _fetch_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + span: Span[GenerationSpanData], + tracing: ModelTracing, + stream: bool = False, + ) -> litellm.types.utils.ModelResponse | tuple[Response, AsyncStream[ChatCompletionChunk]]: + converted_messages = Converter.items_to_messages(input) + + if system_instructions: + converted_messages.insert( + 0, + { + "content": system_instructions, + "role": "system", + }, + ) + if tracing.include_data(): + span.span_data.input = converted_messages + + parallel_tool_calls = ( + True + if model_settings.parallel_tool_calls and tools and len(tools) > 0 + else False + if model_settings.parallel_tool_calls is False + else None + ) + tool_choice = Converter.convert_tool_choice(model_settings.tool_choice) + response_format = Converter.convert_response_format(output_schema) + + converted_tools = [Converter.tool_to_openai(tool) for tool in tools] if tools else [] + + for handoff in handoffs: + converted_tools.append(Converter.convert_handoff_tool(handoff)) + + if _debug.DONT_LOG_MODEL_DATA: + logger.debug("Calling LLM") + else: + logger.debug( + f"Calling Litellm model: {self.model}\n" + f"{json.dumps(converted_messages, indent=2)}\n" + f"Tools:\n{json.dumps(converted_tools, indent=2)}\n" + f"Stream: {stream}\n" + f"Tool choice: {tool_choice}\n" + f"Response format: {response_format}\n" + ) + + reasoning_effort = model_settings.reasoning.effort if model_settings.reasoning else None + + stream_options = None + if stream and model_settings.include_usage is not None: + stream_options = {"include_usage": model_settings.include_usage} + + extra_kwargs = {} + if model_settings.extra_query: + extra_kwargs["extra_query"] = model_settings.extra_query + if model_settings.metadata: + extra_kwargs["metadata"] = model_settings.metadata + + ret = await litellm.acompletion( + model=self.model, + messages=converted_messages, + tools=converted_tools or None, + temperature=model_settings.temperature, + top_p=model_settings.top_p, + frequency_penalty=model_settings.frequency_penalty, + presence_penalty=model_settings.presence_penalty, + max_tokens=model_settings.max_tokens, + tool_choice=self._remove_not_given(tool_choice), + response_format=self._remove_not_given(response_format), + parallel_tool_calls=parallel_tool_calls, + stream=stream, + stream_options=stream_options, + reasoning_effort=reasoning_effort, + extra_headers=HEADERS, + api_key=self.api_key, + base_url=self.base_url, + **extra_kwargs, + ) + + if isinstance(ret, litellm.types.utils.ModelResponse): + return ret + + response = Response( + id=FAKE_RESPONSES_ID, + created_at=time.time(), + model=self.model, + object="response", + output=[], + tool_choice=cast(Literal["auto", "required", "none"], tool_choice) + if tool_choice != NOT_GIVEN + else "auto", + top_p=model_settings.top_p, + temperature=model_settings.temperature, + tools=[], + parallel_tool_calls=parallel_tool_calls or False, + reasoning=model_settings.reasoning, + ) + return response, ret + + def _remove_not_given(self, value: Any) -> Any: + if isinstance(value, NotGiven): + return None + return value + + +class LitellmConverter: + @classmethod + def convert_message_to_openai( + cls, message: litellm.types.utils.Message + ) -> ChatCompletionMessage: + if message.role != "assistant": + raise ModelBehaviorError(f"Unsupported role: {message.role}") + + tool_calls = ( + [LitellmConverter.convert_tool_call_to_openai(tool) for tool in message.tool_calls] + if message.tool_calls + else None + ) + + provider_specific_fields = message.get("provider_specific_fields", None) + refusal = ( + provider_specific_fields.get("refusal", None) if provider_specific_fields else None + ) + + return ChatCompletionMessage( + content=message.content, + refusal=refusal, + role="assistant", + annotations=cls.convert_annotations_to_openai(message), + audio=message.get("audio", None), # litellm deletes audio if not present + tool_calls=tool_calls, + ) + + @classmethod + def convert_annotations_to_openai( + cls, message: litellm.types.utils.Message + ) -> list[Annotation] | None: + annotations: list[litellm.types.llms.openai.ChatCompletionAnnotation] | None = message.get( + "annotations", None + ) + if not annotations: + return None + + return [ + Annotation( + type="url_citation", + url_citation=AnnotationURLCitation( + start_index=annotation["url_citation"]["start_index"], + end_index=annotation["url_citation"]["end_index"], + url=annotation["url_citation"]["url"], + title=annotation["url_citation"]["title"], + ), + ) + for annotation in annotations + ] + + @classmethod + def convert_tool_call_to_openai( + cls, tool_call: litellm.types.utils.ChatCompletionMessageToolCall + ) -> ChatCompletionMessageToolCall: + return ChatCompletionMessageToolCall( + id=tool_call.id, + type="function", + function=Function( + name=tool_call.function.name or "", arguments=tool_call.function.arguments + ), + ) diff --git a/src/agents/models/chatcmpl_helpers.py b/src/agents/models/chatcmpl_helpers.py new file mode 100644 index 000000000..0cee21ecc --- /dev/null +++ b/src/agents/models/chatcmpl_helpers.py @@ -0,0 +1,37 @@ +from __future__ import annotations + +from openai import AsyncOpenAI + +from ..model_settings import ModelSettings +from ..version import __version__ + +_USER_AGENT = f"Agents/Python {__version__}" +HEADERS = {"User-Agent": _USER_AGENT} + + +class ChatCmplHelpers: + @classmethod + def is_openai(cls, client: AsyncOpenAI): + return str(client.base_url).startswith("https://api.openai.com") + + @classmethod + def get_store_param(cls, client: AsyncOpenAI, model_settings: ModelSettings) -> bool | None: + # Match the behavior of Responses where store is True when not given + default_store = True if cls.is_openai(client) else None + return model_settings.store if model_settings.store is not None else default_store + + @classmethod + def get_stream_options_param( + cls, client: AsyncOpenAI, model_settings: ModelSettings, stream: bool + ) -> dict[str, bool] | None: + if not stream: + return None + + default_include_usage = True if cls.is_openai(client) else None + include_usage = ( + model_settings.include_usage + if model_settings.include_usage is not None + else default_include_usage + ) + stream_options = {"include_usage": include_usage} if include_usage is not None else None + return stream_options diff --git a/src/agents/models/openai_chatcompletions.py b/src/agents/models/openai_chatcompletions.py index c399168de..9989c1ee0 100644 --- a/src/agents/models/openai_chatcompletions.py +++ b/src/agents/models/openai_chatcompletions.py @@ -21,8 +21,8 @@ from ..tracing.span_data import GenerationSpanData from ..tracing.spans import Span from ..usage import Usage -from ..version import __version__ from .chatcmpl_converter import Converter +from .chatcmpl_helpers import HEADERS, ChatCmplHelpers from .chatcmpl_stream_handler import ChatCmplStreamHandler from .fake_id import FAKE_RESPONSES_ID from .interface import Model, ModelTracing @@ -31,10 +31,6 @@ from ..model_settings import ModelSettings -_USER_AGENT = f"Agents/Python {__version__}" -_HEADERS = {"User-Agent": _USER_AGENT} - - class OpenAIChatCompletionsModel(Model): def __init__( self, @@ -237,9 +233,9 @@ async def _fetch_response( ) reasoning_effort = model_settings.reasoning.effort if model_settings.reasoning else None - store = _Helpers.get_store_param(self._get_client(), model_settings) + store = ChatCmplHelpers.get_store_param(self._get_client(), model_settings) - stream_options = _Helpers.get_stream_options_param( + stream_options = ChatCmplHelpers.get_stream_options_param( self._get_client(), model_settings, stream=stream ) @@ -259,7 +255,7 @@ async def _fetch_response( stream_options=self._non_null_or_not_given(stream_options), store=self._non_null_or_not_given(store), reasoning_effort=self._non_null_or_not_given(reasoning_effort), - extra_headers=_HEADERS, + extra_headers=HEADERS, extra_query=model_settings.extra_query, extra_body=model_settings.extra_body, metadata=self._non_null_or_not_given(model_settings.metadata), @@ -289,31 +285,3 @@ def _get_client(self) -> AsyncOpenAI: if self._client is None: self._client = AsyncOpenAI() return self._client - - -class _Helpers: - @classmethod - def is_openai(cls, client: AsyncOpenAI): - return str(client.base_url).startswith("https://api.openai.com") - - @classmethod - def get_store_param(cls, client: AsyncOpenAI, model_settings: ModelSettings) -> bool | None: - # Match the behavior of Responses where store is True when not given - default_store = True if cls.is_openai(client) else None - return model_settings.store if model_settings.store is not None else default_store - - @classmethod - def get_stream_options_param( - cls, client: AsyncOpenAI, model_settings: ModelSettings, stream: bool - ) -> dict[str, bool] | None: - if not stream: - return None - - default_include_usage = True if cls.is_openai(client) else None - include_usage = ( - model_settings.include_usage - if model_settings.include_usage is not None - else default_include_usage - ) - stream_options = {"include_usage": include_usage} if include_usage is not None else None - return stream_options diff --git a/tests/test_openai_chatcompletions.py b/tests/test_openai_chatcompletions.py index b0fc1f321..ba3ec68d0 100644 --- a/tests/test_openai_chatcompletions.py +++ b/tests/test_openai_chatcompletions.py @@ -30,8 +30,8 @@ OpenAIProvider, generation_span, ) +from agents.models.chatcmpl_helpers import ChatCmplHelpers from agents.models.fake_id import FAKE_RESPONSES_ID -from agents.models.openai_chatcompletions import _Helpers @pytest.mark.allow_call_model_methods @@ -301,32 +301,32 @@ def test_store_param(): model_settings = ModelSettings() client = AsyncOpenAI() - assert _Helpers.get_store_param(client, model_settings) is True, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is True, ( "Should default to True for OpenAI API calls" ) model_settings = ModelSettings(store=False) - assert _Helpers.get_store_param(client, model_settings) is False, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is False, ( "Should respect explicitly set store=False" ) model_settings = ModelSettings(store=True) - assert _Helpers.get_store_param(client, model_settings) is True, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is True, ( "Should respect explicitly set store=True" ) client = AsyncOpenAI(base_url="http://www.notopenai.com") model_settings = ModelSettings() - assert _Helpers.get_store_param(client, model_settings) is None, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is None, ( "Should default to None for non-OpenAI API calls" ) model_settings = ModelSettings(store=False) - assert _Helpers.get_store_param(client, model_settings) is False, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is False, ( "Should respect explicitly set store=False" ) model_settings = ModelSettings(store=True) - assert _Helpers.get_store_param(client, model_settings) is True, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is True, ( "Should respect explicitly set store=True" ) diff --git a/uv.lock b/uv.lock index d4b825461..10a991a26 100644 --- a/uv.lock +++ b/uv.lock @@ -6,6 +6,125 @@ resolution-markers = [ "python_full_version < '3.10'", ] 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tests/test_openai_chatcompletions.py | 14 +- uv.lock | 988 ++++++++++++++++-- 8 files changed, 1405 insertions(+), 110 deletions(-) create mode 100644 examples/model_providers/litellm_provider.py create mode 100644 src/agents/extensions/models/__init__.py create mode 100644 src/agents/extensions/models/litellm_model.py create mode 100644 src/agents/models/chatcmpl_helpers.py diff --git a/examples/model_providers/litellm_provider.py b/examples/model_providers/litellm_provider.py new file mode 100644 index 000000000..4a1a696fc --- /dev/null +++ b/examples/model_providers/litellm_provider.py @@ -0,0 +1,55 @@ +from __future__ import annotations + +import asyncio + +from agents import Agent, Runner, function_tool, set_tracing_disabled +from agents.extensions.models.litellm_model import LitellmModel + +"""This example uses the LitellmModel directly, to hit any model provider. +You can run it like this: +uv run examples/model_providers/litellm_provider.py --model anthropic/claude-3-5-sonnet-20240620 +or +uv run examples/model_providers/litellm_provider.py --model gemini/gemini-2.0-flash + +Find more providers here: https://docs.litellm.ai/docs/providers +""" + +set_tracing_disabled(disabled=True) + + +@function_tool +def get_weather(city: str): + print(f"[debug] getting weather for {city}") + return f"The weather in {city} is sunny." + + +async def main(model: str, api_key: str): + agent = Agent( + name="Assistant", + instructions="You only respond in haikus.", + model=LitellmModel(model=model, api_key=api_key), + tools=[get_weather], + ) + + result = await Runner.run(agent, "What's the weather in Tokyo?") + print(result.final_output) + + +if __name__ == "__main__": + # First try to get model/api key from args + import argparse + + parser = argparse.ArgumentParser() + parser.add_argument("--model", type=str, required=False) + parser.add_argument("--api-key", type=str, required=False) + args = parser.parse_args() + + model = args.model + if not model: + model = input("Enter a model name for Litellm: ") + + api_key = args.api_key + if not api_key: + api_key = input("Enter an API key for Litellm: ") + + asyncio.run(main(model, api_key)) diff --git a/pyproject.toml b/pyproject.toml index 1eefadd93..1eb8c63e7 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -36,6 +36,7 @@ Repository = "https://github.com/openai/openai-agents-python" [project.optional-dependencies] voice = ["numpy>=2.2.0, <3; python_version>='3.10'", "websockets>=15.0, <16"] viz = ["graphviz>=0.17"] +litellm = ["litellm>=1.65.0, <2"] [dependency-groups] dev = [ diff --git a/src/agents/extensions/models/__init__.py b/src/agents/extensions/models/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/src/agents/extensions/models/litellm_model.py b/src/agents/extensions/models/litellm_model.py new file mode 100644 index 000000000..915a1ccbd --- /dev/null +++ b/src/agents/extensions/models/litellm_model.py @@ -0,0 +1,380 @@ +from __future__ import annotations + +import dataclasses +import json +import time +from collections.abc import AsyncIterator +from typing import Any, Literal, cast, overload + +import litellm.types + +from agents.exceptions import ModelBehaviorError + +try: + import litellm +except ImportError as _e: + raise ImportError( + "`litellm` is required to use the LitellmModel. You can install it via the optional " + "dependency group: `pip install 'openai-agents[litellm]'`." + ) from _e + +from openai import NOT_GIVEN, AsyncStream, NotGiven +from openai.types.chat import ChatCompletionChunk, ChatCompletionMessageToolCall +from openai.types.chat.chat_completion_message import ( + Annotation, + AnnotationURLCitation, + ChatCompletionMessage, +) +from openai.types.chat.chat_completion_message_tool_call import Function +from openai.types.responses import Response + +from ... import _debug +from ...agent_output import AgentOutputSchema +from ...handoffs import Handoff +from ...items import ModelResponse, TResponseInputItem, TResponseStreamEvent +from ...logger import logger +from ...model_settings import ModelSettings +from ...models.chatcmpl_converter import Converter +from ...models.chatcmpl_helpers import HEADERS +from ...models.chatcmpl_stream_handler import ChatCmplStreamHandler +from ...models.fake_id import FAKE_RESPONSES_ID +from ...models.interface import Model, ModelTracing +from ...tool import Tool +from ...tracing import generation_span +from ...tracing.span_data import GenerationSpanData +from ...tracing.spans import Span +from ...usage import Usage + + +class LitellmModel(Model): + def __init__( + self, + model: str, + base_url: str | None = None, + api_key: str | None = None, + ): + self.model = model + self.base_url = base_url + self.api_key = api_key + + async def get_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + tracing: ModelTracing, + previous_response_id: str | None, + ) -> ModelResponse: + with generation_span( + model=str(self.model), + model_config=dataclasses.asdict(model_settings) + | {"base_url": str(self.base_url or ""), "model_impl": "litellm"}, + disabled=tracing.is_disabled(), + ) as span_generation: + response = await self._fetch_response( + system_instructions, + input, + model_settings, + tools, + output_schema, + handoffs, + span_generation, + tracing, + stream=False, + ) + + assert isinstance(response.choices[0], litellm.types.utils.Choices) + + if _debug.DONT_LOG_MODEL_DATA: + logger.debug("Received model response") + else: + logger.debug( + f"LLM resp:\n{json.dumps(response.choices[0].message.model_dump(), indent=2)}\n" + ) + + if hasattr(response, "usage"): + response_usage = response.usage + usage = ( + Usage( + requests=1, + input_tokens=response_usage.prompt_tokens, + output_tokens=response_usage.completion_tokens, + total_tokens=response_usage.total_tokens, + ) + if response.usage + else Usage() + ) + else: + usage = Usage() + logger.warning("No usage information returned from Litellm") + + if tracing.include_data(): + span_generation.span_data.output = [response.choices[0].message.model_dump()] + span_generation.span_data.usage = { + "input_tokens": usage.input_tokens, + "output_tokens": usage.output_tokens, + } + + items = Converter.message_to_output_items( + LitellmConverter.convert_message_to_openai(response.choices[0].message) + ) + + return ModelResponse( + output=items, + usage=usage, + response_id=None, + ) + + async def stream_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + tracing: ModelTracing, + *, + previous_response_id: str | None, + ) -> AsyncIterator[TResponseStreamEvent]: + """ + Yields a partial message as it is generated, as well as the usage information. + """ + with generation_span( + model=str(self.model), + model_config=dataclasses.asdict(model_settings) + | {"base_url": str(self.base_url or ""), "model_impl": "litellm"}, + disabled=tracing.is_disabled(), + ) as span_generation: + response, stream = await self._fetch_response( + system_instructions, + input, + model_settings, + tools, + output_schema, + handoffs, + span_generation, + tracing, + stream=True, + ) + + final_response: Response | None = None + async for chunk in ChatCmplStreamHandler.handle_stream(response, stream): + yield chunk + + if chunk.type == "response.completed": + final_response = chunk.response + + if tracing.include_data() and final_response: + span_generation.span_data.output = [final_response.model_dump()] + + if final_response and final_response.usage: + span_generation.span_data.usage = { + "input_tokens": final_response.usage.input_tokens, + "output_tokens": final_response.usage.output_tokens, + } + + @overload + async def _fetch_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + span: Span[GenerationSpanData], + tracing: ModelTracing, + stream: Literal[True], + ) -> tuple[Response, AsyncStream[ChatCompletionChunk]]: ... + + @overload + async def _fetch_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + span: Span[GenerationSpanData], + tracing: ModelTracing, + stream: Literal[False], + ) -> litellm.types.utils.ModelResponse: ... + + async def _fetch_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + span: Span[GenerationSpanData], + tracing: ModelTracing, + stream: bool = False, + ) -> litellm.types.utils.ModelResponse | tuple[Response, AsyncStream[ChatCompletionChunk]]: + converted_messages = Converter.items_to_messages(input) + + if system_instructions: + converted_messages.insert( + 0, + { + "content": system_instructions, + "role": "system", + }, + ) + if tracing.include_data(): + span.span_data.input = converted_messages + + parallel_tool_calls = ( + True + if model_settings.parallel_tool_calls and tools and len(tools) > 0 + else False + if model_settings.parallel_tool_calls is False + else None + ) + tool_choice = Converter.convert_tool_choice(model_settings.tool_choice) + response_format = Converter.convert_response_format(output_schema) + + converted_tools = [Converter.tool_to_openai(tool) for tool in tools] if tools else [] + + for handoff in handoffs: + converted_tools.append(Converter.convert_handoff_tool(handoff)) + + if _debug.DONT_LOG_MODEL_DATA: + logger.debug("Calling LLM") + else: + logger.debug( + f"Calling Litellm model: {self.model}\n" + f"{json.dumps(converted_messages, indent=2)}\n" + f"Tools:\n{json.dumps(converted_tools, indent=2)}\n" + f"Stream: {stream}\n" + f"Tool choice: {tool_choice}\n" + f"Response format: {response_format}\n" + ) + + reasoning_effort = model_settings.reasoning.effort if model_settings.reasoning else None + + stream_options = None + if stream and model_settings.include_usage is not None: + stream_options = {"include_usage": model_settings.include_usage} + + extra_kwargs = {} + if model_settings.extra_query: + extra_kwargs["extra_query"] = model_settings.extra_query + if model_settings.metadata: + extra_kwargs["metadata"] = model_settings.metadata + + ret = await litellm.acompletion( + model=self.model, + messages=converted_messages, + tools=converted_tools or None, + temperature=model_settings.temperature, + top_p=model_settings.top_p, + frequency_penalty=model_settings.frequency_penalty, + presence_penalty=model_settings.presence_penalty, + max_tokens=model_settings.max_tokens, + tool_choice=self._remove_not_given(tool_choice), + response_format=self._remove_not_given(response_format), + parallel_tool_calls=parallel_tool_calls, + stream=stream, + stream_options=stream_options, + reasoning_effort=reasoning_effort, + extra_headers=HEADERS, + api_key=self.api_key, + base_url=self.base_url, + **extra_kwargs, + ) + + if isinstance(ret, litellm.types.utils.ModelResponse): + return ret + + response = Response( + id=FAKE_RESPONSES_ID, + created_at=time.time(), + model=self.model, + object="response", + output=[], + tool_choice=cast(Literal["auto", "required", "none"], tool_choice) + if tool_choice != NOT_GIVEN + else "auto", + top_p=model_settings.top_p, + temperature=model_settings.temperature, + tools=[], + parallel_tool_calls=parallel_tool_calls or False, + reasoning=model_settings.reasoning, + ) + return response, ret + + def _remove_not_given(self, value: Any) -> Any: + if isinstance(value, NotGiven): + return None + return value + + +class LitellmConverter: + @classmethod + def convert_message_to_openai( + cls, message: litellm.types.utils.Message + ) -> ChatCompletionMessage: + if message.role != "assistant": + raise ModelBehaviorError(f"Unsupported role: {message.role}") + + tool_calls = ( + [LitellmConverter.convert_tool_call_to_openai(tool) for tool in message.tool_calls] + if message.tool_calls + else None + ) + + provider_specific_fields = message.get("provider_specific_fields", None) + refusal = ( + provider_specific_fields.get("refusal", None) if provider_specific_fields else None + ) + + return ChatCompletionMessage( + content=message.content, + refusal=refusal, + role="assistant", + annotations=cls.convert_annotations_to_openai(message), + audio=message.get("audio", None), # litellm deletes audio if not present + tool_calls=tool_calls, + ) + + @classmethod + def convert_annotations_to_openai( + cls, message: litellm.types.utils.Message + ) -> list[Annotation] | None: + annotations: list[litellm.types.llms.openai.ChatCompletionAnnotation] | None = message.get( + "annotations", None + ) + if not annotations: + return None + + return [ + Annotation( + type="url_citation", + url_citation=AnnotationURLCitation( + start_index=annotation["url_citation"]["start_index"], + end_index=annotation["url_citation"]["end_index"], + url=annotation["url_citation"]["url"], + title=annotation["url_citation"]["title"], + ), + ) + for annotation in annotations + ] + + @classmethod + def convert_tool_call_to_openai( + cls, tool_call: litellm.types.utils.ChatCompletionMessageToolCall + ) -> ChatCompletionMessageToolCall: + return ChatCompletionMessageToolCall( + id=tool_call.id, + type="function", + function=Function( + name=tool_call.function.name or "", arguments=tool_call.function.arguments + ), + ) diff --git a/src/agents/models/chatcmpl_helpers.py b/src/agents/models/chatcmpl_helpers.py new file mode 100644 index 000000000..0cee21ecc --- /dev/null +++ b/src/agents/models/chatcmpl_helpers.py @@ -0,0 +1,37 @@ +from __future__ import annotations + +from openai import AsyncOpenAI + +from ..model_settings import ModelSettings +from ..version import __version__ + +_USER_AGENT = f"Agents/Python {__version__}" +HEADERS = {"User-Agent": _USER_AGENT} + + +class ChatCmplHelpers: + @classmethod + def is_openai(cls, client: AsyncOpenAI): + return str(client.base_url).startswith("https://api.openai.com") + + @classmethod + def get_store_param(cls, client: AsyncOpenAI, model_settings: ModelSettings) -> bool | None: + # Match the behavior of Responses where store is True when not given + default_store = True if cls.is_openai(client) else None + return model_settings.store if model_settings.store is not None else default_store + + @classmethod + def get_stream_options_param( + cls, client: AsyncOpenAI, model_settings: ModelSettings, stream: bool + ) -> dict[str, bool] | None: + if not stream: + return None + + default_include_usage = True if cls.is_openai(client) else None + include_usage = ( + model_settings.include_usage + if model_settings.include_usage is not None + else default_include_usage + ) + stream_options = {"include_usage": include_usage} if include_usage is not None else None + return stream_options diff --git a/src/agents/models/openai_chatcompletions.py b/src/agents/models/openai_chatcompletions.py index c399168de..9989c1ee0 100644 --- a/src/agents/models/openai_chatcompletions.py +++ b/src/agents/models/openai_chatcompletions.py @@ -21,8 +21,8 @@ from ..tracing.span_data import GenerationSpanData from ..tracing.spans import Span from ..usage import Usage -from ..version import __version__ from .chatcmpl_converter import Converter +from .chatcmpl_helpers import HEADERS, ChatCmplHelpers from .chatcmpl_stream_handler import ChatCmplStreamHandler from .fake_id import FAKE_RESPONSES_ID from .interface import Model, ModelTracing @@ -31,10 +31,6 @@ from ..model_settings import ModelSettings -_USER_AGENT = f"Agents/Python {__version__}" -_HEADERS = {"User-Agent": _USER_AGENT} - - class OpenAIChatCompletionsModel(Model): def __init__( self, @@ -237,9 +233,9 @@ async def _fetch_response( ) reasoning_effort = model_settings.reasoning.effort if model_settings.reasoning else None - store = _Helpers.get_store_param(self._get_client(), model_settings) + store = ChatCmplHelpers.get_store_param(self._get_client(), model_settings) - stream_options = _Helpers.get_stream_options_param( + stream_options = ChatCmplHelpers.get_stream_options_param( self._get_client(), model_settings, stream=stream ) @@ -259,7 +255,7 @@ async def _fetch_response( stream_options=self._non_null_or_not_given(stream_options), store=self._non_null_or_not_given(store), reasoning_effort=self._non_null_or_not_given(reasoning_effort), - extra_headers=_HEADERS, + extra_headers=HEADERS, extra_query=model_settings.extra_query, extra_body=model_settings.extra_body, metadata=self._non_null_or_not_given(model_settings.metadata), @@ -289,31 +285,3 @@ def _get_client(self) -> AsyncOpenAI: if self._client is None: self._client = AsyncOpenAI() return self._client - - -class _Helpers: - @classmethod - def is_openai(cls, client: AsyncOpenAI): - return str(client.base_url).startswith("https://api.openai.com") - - @classmethod - def get_store_param(cls, client: AsyncOpenAI, model_settings: ModelSettings) -> bool | None: - # Match the behavior of Responses where store is True when not given - default_store = True if cls.is_openai(client) else None - return model_settings.store if model_settings.store is not None else default_store - - @classmethod - def get_stream_options_param( - cls, client: AsyncOpenAI, model_settings: ModelSettings, stream: bool - ) -> dict[str, bool] | None: - if not stream: - return None - - default_include_usage = True if cls.is_openai(client) else None - include_usage = ( - model_settings.include_usage - if model_settings.include_usage is not None - else default_include_usage - ) - stream_options = {"include_usage": include_usage} if include_usage is not None else None - return stream_options diff --git a/tests/test_openai_chatcompletions.py b/tests/test_openai_chatcompletions.py index b0fc1f321..ba3ec68d0 100644 --- a/tests/test_openai_chatcompletions.py +++ b/tests/test_openai_chatcompletions.py @@ -30,8 +30,8 @@ OpenAIProvider, generation_span, ) +from agents.models.chatcmpl_helpers import ChatCmplHelpers from agents.models.fake_id import FAKE_RESPONSES_ID -from agents.models.openai_chatcompletions import _Helpers @pytest.mark.allow_call_model_methods @@ -301,32 +301,32 @@ def test_store_param(): model_settings = ModelSettings() client = AsyncOpenAI() - assert _Helpers.get_store_param(client, model_settings) is True, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is True, ( "Should default to True for OpenAI API calls" ) model_settings = ModelSettings(store=False) - assert _Helpers.get_store_param(client, model_settings) is False, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is False, ( "Should respect explicitly set store=False" ) model_settings = ModelSettings(store=True) - assert _Helpers.get_store_param(client, model_settings) is True, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is True, ( "Should respect explicitly set store=True" ) client = AsyncOpenAI(base_url="http://www.notopenai.com") model_settings = ModelSettings() - assert _Helpers.get_store_param(client, model_settings) is None, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is None, ( "Should default to None for non-OpenAI API calls" ) model_settings = ModelSettings(store=False) - assert _Helpers.get_store_param(client, model_settings) is False, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is False, ( "Should respect explicitly set store=False" ) model_settings = ModelSettings(store=True) - assert _Helpers.get_store_param(client, model_settings) is True, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is True, ( "Should respect explicitly set store=True" ) diff --git a/uv.lock b/uv.lock index d4b825461..10a991a26 100644 --- a/uv.lock +++ b/uv.lock @@ -6,6 +6,125 @@ resolution-markers = [ "python_full_version < '3.10'", ] 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diff --git a/src/agents/models/chatcmpl_stream_handler.py b/src/agents/models/chatcmpl_stream_handler.py new file mode 100644 index 000000000..32f04acb4 --- /dev/null +++ b/src/agents/models/chatcmpl_stream_handler.py @@ -0,0 +1,290 @@ +from __future__ import annotations + +from collections.abc import AsyncIterator +from dataclasses import dataclass, field + +from openai import AsyncStream +from openai.types.chat import ChatCompletionChunk +from openai.types.completion_usage import CompletionUsage +from openai.types.responses import ( + Response, + ResponseCompletedEvent, + ResponseContentPartAddedEvent, + ResponseContentPartDoneEvent, + ResponseCreatedEvent, + ResponseFunctionCallArgumentsDeltaEvent, + ResponseFunctionToolCall, + ResponseOutputItem, + ResponseOutputItemAddedEvent, + ResponseOutputItemDoneEvent, + ResponseOutputMessage, + ResponseOutputRefusal, + ResponseOutputText, + ResponseRefusalDeltaEvent, + ResponseTextDeltaEvent, + ResponseUsage, +) +from openai.types.responses.response_usage import InputTokensDetails, OutputTokensDetails + +from ..items import TResponseStreamEvent +from .fake_id import FAKE_RESPONSES_ID + + +@dataclass +class StreamingState: + started: bool = False + text_content_index_and_output: tuple[int, ResponseOutputText] | None = None + refusal_content_index_and_output: tuple[int, ResponseOutputRefusal] | None = None + function_calls: dict[int, ResponseFunctionToolCall] = field(default_factory=dict) + + +class ChatCmplStreamHandler: + @classmethod + async def handle_stream( + cls, + response: Response, + stream: AsyncStream[ChatCompletionChunk], + ) -> AsyncIterator[TResponseStreamEvent]: + usage: CompletionUsage | None = None + state = StreamingState() + + async for chunk in stream: + if not state.started: + state.started = True + yield ResponseCreatedEvent( + response=response, + type="response.created", + ) + + usage = chunk.usage + + if not chunk.choices or not chunk.choices[0].delta: + continue + + delta = chunk.choices[0].delta + + # Handle text + if delta.content: + if not state.text_content_index_and_output: + # Initialize a content tracker for streaming text + state.text_content_index_and_output = ( + 0 if not state.refusal_content_index_and_output else 1, + ResponseOutputText( + text="", + type="output_text", + annotations=[], + ), + ) + # Start a new assistant message stream + assistant_item = ResponseOutputMessage( + id=FAKE_RESPONSES_ID, + content=[], + role="assistant", + type="message", + status="in_progress", + ) + # Notify consumers of the start of a new output message + first content part + yield ResponseOutputItemAddedEvent( + item=assistant_item, + output_index=0, + type="response.output_item.added", + ) + yield ResponseContentPartAddedEvent( + content_index=state.text_content_index_and_output[0], + item_id=FAKE_RESPONSES_ID, + output_index=0, + part=ResponseOutputText( + text="", + type="output_text", + annotations=[], + ), + type="response.content_part.added", + ) + # Emit the delta for this segment of content + yield ResponseTextDeltaEvent( + content_index=state.text_content_index_and_output[0], + delta=delta.content, + item_id=FAKE_RESPONSES_ID, + output_index=0, + type="response.output_text.delta", + ) + # Accumulate the text into the response part + state.text_content_index_and_output[1].text += delta.content + + # Handle refusals (model declines to answer) + if delta.refusal: + if not state.refusal_content_index_and_output: + # Initialize a content tracker for streaming refusal text + state.refusal_content_index_and_output = ( + 0 if not state.text_content_index_and_output else 1, + ResponseOutputRefusal(refusal="", type="refusal"), + ) + # Start a new assistant message if one doesn't exist yet (in-progress) + assistant_item = ResponseOutputMessage( + id=FAKE_RESPONSES_ID, + content=[], + role="assistant", + type="message", + status="in_progress", + ) + # Notify downstream that assistant message + first content part are starting + yield ResponseOutputItemAddedEvent( + item=assistant_item, + output_index=0, + type="response.output_item.added", + ) + yield ResponseContentPartAddedEvent( + content_index=state.refusal_content_index_and_output[0], + item_id=FAKE_RESPONSES_ID, + output_index=0, + part=ResponseOutputText( + text="", + type="output_text", + annotations=[], + ), + type="response.content_part.added", + ) + # Emit the delta for this segment of refusal + yield ResponseRefusalDeltaEvent( + content_index=state.refusal_content_index_and_output[0], + delta=delta.refusal, + item_id=FAKE_RESPONSES_ID, + output_index=0, + type="response.refusal.delta", + ) + # Accumulate the refusal string in the output part + state.refusal_content_index_and_output[1].refusal += delta.refusal + + # Handle tool calls + # Because we don't know the name of the function until the end of the stream, we'll + # save everything and yield events at the end + if delta.tool_calls: + for tc_delta in delta.tool_calls: + if tc_delta.index not in state.function_calls: + state.function_calls[tc_delta.index] = ResponseFunctionToolCall( + id=FAKE_RESPONSES_ID, + arguments="", + name="", + type="function_call", + call_id="", + ) + tc_function = tc_delta.function + + state.function_calls[tc_delta.index].arguments += ( + tc_function.arguments if tc_function else "" + ) or "" + state.function_calls[tc_delta.index].name += ( + tc_function.name if tc_function else "" + ) or "" + state.function_calls[tc_delta.index].call_id += tc_delta.id or "" + + function_call_starting_index = 0 + if state.text_content_index_and_output: + function_call_starting_index += 1 + # Send end event for this content part + yield ResponseContentPartDoneEvent( + content_index=state.text_content_index_and_output[0], + item_id=FAKE_RESPONSES_ID, + output_index=0, + part=state.text_content_index_and_output[1], + type="response.content_part.done", + ) + + if state.refusal_content_index_and_output: + function_call_starting_index += 1 + # Send end event for this content part + yield ResponseContentPartDoneEvent( + content_index=state.refusal_content_index_and_output[0], + item_id=FAKE_RESPONSES_ID, + output_index=0, + part=state.refusal_content_index_and_output[1], + type="response.content_part.done", + ) + + # Actually send events for the function calls + for function_call in state.function_calls.values(): + # First, a ResponseOutputItemAdded for the function call + yield ResponseOutputItemAddedEvent( + item=ResponseFunctionToolCall( + id=FAKE_RESPONSES_ID, + call_id=function_call.call_id, + arguments=function_call.arguments, + name=function_call.name, + type="function_call", + ), + output_index=function_call_starting_index, + type="response.output_item.added", + ) + # Then, yield the args + yield ResponseFunctionCallArgumentsDeltaEvent( + delta=function_call.arguments, + item_id=FAKE_RESPONSES_ID, + output_index=function_call_starting_index, + type="response.function_call_arguments.delta", + ) + # Finally, the ResponseOutputItemDone + yield ResponseOutputItemDoneEvent( + item=ResponseFunctionToolCall( + id=FAKE_RESPONSES_ID, + call_id=function_call.call_id, + arguments=function_call.arguments, + name=function_call.name, + type="function_call", + ), + output_index=function_call_starting_index, + type="response.output_item.done", + ) + + # Finally, send the Response completed event + outputs: list[ResponseOutputItem] = [] + if state.text_content_index_and_output or state.refusal_content_index_and_output: + assistant_msg = ResponseOutputMessage( + id=FAKE_RESPONSES_ID, + content=[], + role="assistant", + type="message", + status="completed", + ) + if state.text_content_index_and_output: + assistant_msg.content.append(state.text_content_index_and_output[1]) + if state.refusal_content_index_and_output: + assistant_msg.content.append(state.refusal_content_index_and_output[1]) + outputs.append(assistant_msg) + + # send a ResponseOutputItemDone for the assistant message + yield ResponseOutputItemDoneEvent( + item=assistant_msg, + output_index=0, + type="response.output_item.done", + ) + + for function_call in state.function_calls.values(): + outputs.append(function_call) + + final_response = response.model_copy() + final_response.output = outputs + final_response.usage = ( + ResponseUsage( + input_tokens=usage.prompt_tokens, + output_tokens=usage.completion_tokens, + total_tokens=usage.total_tokens, + output_tokens_details=OutputTokensDetails( + reasoning_tokens=usage.completion_tokens_details.reasoning_tokens + if usage.completion_tokens_details + and usage.completion_tokens_details.reasoning_tokens + else 0 + ), + input_tokens_details=InputTokensDetails( + cached_tokens=usage.prompt_tokens_details.cached_tokens + if usage.prompt_tokens_details and usage.prompt_tokens_details.cached_tokens + else 0 + ), + ) + if usage + else None + ) + + yield ResponseCompletedEvent( + response=final_response, + type="response.completed", + ) diff --git a/src/agents/models/openai_chatcompletions.py b/src/agents/models/openai_chatcompletions.py index e3db9b968..c399168de 100644 --- a/src/agents/models/openai_chatcompletions.py +++ b/src/agents/models/openai_chatcompletions.py @@ -4,32 +4,12 @@ import json import time from collections.abc import AsyncIterator -from dataclasses import dataclass, field from typing import TYPE_CHECKING, Any, Literal, cast, overload from openai import NOT_GIVEN, AsyncOpenAI, AsyncStream from openai.types import ChatModel from openai.types.chat import ChatCompletion, ChatCompletionChunk -from openai.types.completion_usage import CompletionUsage -from openai.types.responses import ( - Response, - ResponseCompletedEvent, - ResponseContentPartAddedEvent, - ResponseContentPartDoneEvent, - ResponseCreatedEvent, - ResponseFunctionCallArgumentsDeltaEvent, - ResponseFunctionToolCall, - ResponseOutputItem, - ResponseOutputItemAddedEvent, - ResponseOutputItemDoneEvent, - ResponseOutputMessage, - ResponseOutputRefusal, - ResponseOutputText, - ResponseRefusalDeltaEvent, - ResponseTextDeltaEvent, - ResponseUsage, -) -from openai.types.responses.response_usage import InputTokensDetails, OutputTokensDetails +from openai.types.responses import Response from .. import _debug from ..agent_output import AgentOutputSchema @@ -43,6 +23,7 @@ from ..usage import Usage from ..version import __version__ from .chatcmpl_converter import Converter +from .chatcmpl_stream_handler import ChatCmplStreamHandler from .fake_id import FAKE_RESPONSES_ID from .interface import Model, ModelTracing @@ -54,14 +35,6 @@ _HEADERS = {"User-Agent": _USER_AGENT} -@dataclass -class _StreamingState: - started: bool = False - text_content_index_and_output: tuple[int, ResponseOutputText] | None = None - refusal_content_index_and_output: tuple[int, ResponseOutputRefusal] | None = None - function_calls: dict[int, ResponseFunctionToolCall] = field(default_factory=dict) - - class OpenAIChatCompletionsModel(Model): def __init__( self, @@ -168,257 +141,20 @@ async def stream_response( stream=True, ) - usage: CompletionUsage | None = None - state = _StreamingState() - - async for chunk in stream: - if not state.started: - state.started = True - yield ResponseCreatedEvent( - response=response, - type="response.created", - ) - - # The usage is only available in the last chunk - usage = chunk.usage - - if not chunk.choices or not chunk.choices[0].delta: - continue - - delta = chunk.choices[0].delta - - # Handle text - if delta.content: - if not state.text_content_index_and_output: - # Initialize a content tracker for streaming text - state.text_content_index_and_output = ( - 0 if not state.refusal_content_index_and_output else 1, - ResponseOutputText( - text="", - type="output_text", - annotations=[], - ), - ) - # Start a new assistant message stream - assistant_item = ResponseOutputMessage( - id=FAKE_RESPONSES_ID, - content=[], - role="assistant", - type="message", - status="in_progress", - ) - # Notify consumers of the start of a new output message + first content part - yield ResponseOutputItemAddedEvent( - item=assistant_item, - output_index=0, - type="response.output_item.added", - ) - yield ResponseContentPartAddedEvent( - content_index=state.text_content_index_and_output[0], - item_id=FAKE_RESPONSES_ID, - output_index=0, - part=ResponseOutputText( - text="", - type="output_text", - annotations=[], - ), - type="response.content_part.added", - ) - # Emit the delta for this segment of content - yield ResponseTextDeltaEvent( - content_index=state.text_content_index_and_output[0], - delta=delta.content, - item_id=FAKE_RESPONSES_ID, - output_index=0, - type="response.output_text.delta", - ) - # Accumulate the text into the response part - state.text_content_index_and_output[1].text += delta.content - - # Handle refusals (model declines to answer) - if delta.refusal: - if not state.refusal_content_index_and_output: - # Initialize a content tracker for streaming refusal text - state.refusal_content_index_and_output = ( - 0 if not state.text_content_index_and_output else 1, - ResponseOutputRefusal(refusal="", type="refusal"), - ) - # Start a new assistant message if one doesn't exist yet (in-progress) - assistant_item = ResponseOutputMessage( - id=FAKE_RESPONSES_ID, - content=[], - role="assistant", - type="message", - status="in_progress", - ) - # Notify downstream that assistant message + first content part are starting - yield ResponseOutputItemAddedEvent( - item=assistant_item, - output_index=0, - type="response.output_item.added", - ) - yield ResponseContentPartAddedEvent( - content_index=state.refusal_content_index_and_output[0], - item_id=FAKE_RESPONSES_ID, - output_index=0, - part=ResponseOutputText( - text="", - type="output_text", - annotations=[], - ), - type="response.content_part.added", - ) - # Emit the delta for this segment of refusal - yield ResponseRefusalDeltaEvent( - content_index=state.refusal_content_index_and_output[0], - delta=delta.refusal, - item_id=FAKE_RESPONSES_ID, - output_index=0, - type="response.refusal.delta", - ) - # Accumulate the refusal string in the output part - state.refusal_content_index_and_output[1].refusal += delta.refusal - - # Handle tool calls - # Because we don't know the name of the function until the end of the stream, we'll - # save everything and yield events at the end - if delta.tool_calls: - for tc_delta in delta.tool_calls: - if tc_delta.index not in state.function_calls: - state.function_calls[tc_delta.index] = ResponseFunctionToolCall( - id=FAKE_RESPONSES_ID, - arguments="", - name="", - type="function_call", - call_id="", - ) - tc_function = tc_delta.function - - state.function_calls[tc_delta.index].arguments += ( - tc_function.arguments if tc_function else "" - ) or "" - state.function_calls[tc_delta.index].name += ( - tc_function.name if tc_function else "" - ) or "" - state.function_calls[tc_delta.index].call_id += tc_delta.id or "" - - function_call_starting_index = 0 - if state.text_content_index_and_output: - function_call_starting_index += 1 - # Send end event for this content part - yield ResponseContentPartDoneEvent( - content_index=state.text_content_index_and_output[0], - item_id=FAKE_RESPONSES_ID, - output_index=0, - part=state.text_content_index_and_output[1], - type="response.content_part.done", - ) - - if state.refusal_content_index_and_output: - function_call_starting_index += 1 - # Send end event for this content part - yield ResponseContentPartDoneEvent( - content_index=state.refusal_content_index_and_output[0], - item_id=FAKE_RESPONSES_ID, - output_index=0, - part=state.refusal_content_index_and_output[1], - type="response.content_part.done", - ) - - # Actually send events for the function calls - for function_call in state.function_calls.values(): - # First, a ResponseOutputItemAdded for the function call - yield ResponseOutputItemAddedEvent( - item=ResponseFunctionToolCall( - id=FAKE_RESPONSES_ID, - call_id=function_call.call_id, - arguments=function_call.arguments, - name=function_call.name, - type="function_call", - ), - output_index=function_call_starting_index, - type="response.output_item.added", - ) - # Then, yield the args - yield ResponseFunctionCallArgumentsDeltaEvent( - delta=function_call.arguments, - item_id=FAKE_RESPONSES_ID, - output_index=function_call_starting_index, - type="response.function_call_arguments.delta", - ) - # Finally, the ResponseOutputItemDone - yield ResponseOutputItemDoneEvent( - item=ResponseFunctionToolCall( - id=FAKE_RESPONSES_ID, - call_id=function_call.call_id, - arguments=function_call.arguments, - name=function_call.name, - type="function_call", - ), - output_index=function_call_starting_index, - type="response.output_item.done", - ) - - # Finally, send the Response completed event - outputs: list[ResponseOutputItem] = [] - if state.text_content_index_and_output or state.refusal_content_index_and_output: - assistant_msg = ResponseOutputMessage( - id=FAKE_RESPONSES_ID, - content=[], - role="assistant", - type="message", - status="completed", - ) - if state.text_content_index_and_output: - assistant_msg.content.append(state.text_content_index_and_output[1]) - if state.refusal_content_index_and_output: - assistant_msg.content.append(state.refusal_content_index_and_output[1]) - outputs.append(assistant_msg) - - # send a ResponseOutputItemDone for the assistant message - yield ResponseOutputItemDoneEvent( - item=assistant_msg, - output_index=0, - type="response.output_item.done", - ) + final_response: Response | None = None + async for chunk in ChatCmplStreamHandler.handle_stream(response, stream): + yield chunk - for function_call in state.function_calls.values(): - outputs.append(function_call) - - final_response = response.model_copy() - final_response.output = outputs - final_response.usage = ( - ResponseUsage( - input_tokens=usage.prompt_tokens, - output_tokens=usage.completion_tokens, - total_tokens=usage.total_tokens, - output_tokens_details=OutputTokensDetails( - reasoning_tokens=usage.completion_tokens_details.reasoning_tokens - if usage.completion_tokens_details - and usage.completion_tokens_details.reasoning_tokens - else 0 - ), - input_tokens_details=InputTokensDetails( - cached_tokens=usage.prompt_tokens_details.cached_tokens - if usage.prompt_tokens_details and usage.prompt_tokens_details.cached_tokens - else 0 - ), - ) - if usage - else None - ) + if chunk.type == "response.completed": + final_response = chunk.response - yield ResponseCompletedEvent( - response=final_response, - type="response.completed", - ) - if tracing.include_data(): + if tracing.include_data() and final_response: span_generation.span_data.output = [final_response.model_dump()] - if usage: + if final_response and final_response.usage: span_generation.span_data.usage = { - "input_tokens": usage.prompt_tokens, - "output_tokens": usage.completion_tokens, + "input_tokens": final_response.usage.input_tokens, + "output_tokens": final_response.usage.output_tokens, } @overload From 18ba0d50ead6383c906e55176854bcab16886440 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 15 Apr 2025 18:32:36 -0400 Subject: [PATCH 070/337] Litellm integration --- examples/model_providers/litellm_provider.py | 55 + pyproject.toml | 1 + src/agents/extensions/models/__init__.py | 0 src/agents/extensions/models/litellm_model.py | 380 +++++++ src/agents/models/chatcmpl_helpers.py | 37 + src/agents/models/openai_chatcompletions.py | 40 +- tests/test_openai_chatcompletions.py | 14 +- uv.lock | 988 ++++++++++++++++-- 8 files changed, 1405 insertions(+), 110 deletions(-) create mode 100644 examples/model_providers/litellm_provider.py create mode 100644 src/agents/extensions/models/__init__.py create mode 100644 src/agents/extensions/models/litellm_model.py create mode 100644 src/agents/models/chatcmpl_helpers.py diff --git a/examples/model_providers/litellm_provider.py b/examples/model_providers/litellm_provider.py new file mode 100644 index 000000000..4a1a696fc --- /dev/null +++ b/examples/model_providers/litellm_provider.py @@ -0,0 +1,55 @@ +from __future__ import annotations + +import asyncio + +from agents import Agent, Runner, function_tool, set_tracing_disabled +from agents.extensions.models.litellm_model import LitellmModel + +"""This example uses the LitellmModel directly, to hit any model provider. +You can run it like this: +uv run examples/model_providers/litellm_provider.py --model anthropic/claude-3-5-sonnet-20240620 +or +uv run examples/model_providers/litellm_provider.py --model gemini/gemini-2.0-flash + +Find more providers here: https://docs.litellm.ai/docs/providers +""" + +set_tracing_disabled(disabled=True) + + +@function_tool +def get_weather(city: str): + print(f"[debug] getting weather for {city}") + return f"The weather in {city} is sunny." + + +async def main(model: str, api_key: str): + agent = Agent( + name="Assistant", + instructions="You only respond in haikus.", + model=LitellmModel(model=model, api_key=api_key), + tools=[get_weather], + ) + + result = await Runner.run(agent, "What's the weather in Tokyo?") + print(result.final_output) + + +if __name__ == "__main__": + # First try to get model/api key from args + import argparse + + parser = argparse.ArgumentParser() + parser.add_argument("--model", type=str, required=False) + parser.add_argument("--api-key", type=str, required=False) + args = parser.parse_args() + + model = args.model + if not model: + model = input("Enter a model name for Litellm: ") + + api_key = args.api_key + if not api_key: + api_key = input("Enter an API key for Litellm: ") + + asyncio.run(main(model, api_key)) diff --git a/pyproject.toml b/pyproject.toml index 1eefadd93..1eb8c63e7 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -36,6 +36,7 @@ Repository = "https://github.com/openai/openai-agents-python" [project.optional-dependencies] voice = ["numpy>=2.2.0, <3; python_version>='3.10'", "websockets>=15.0, <16"] viz = ["graphviz>=0.17"] +litellm = ["litellm>=1.65.0, <2"] [dependency-groups] dev = [ diff --git a/src/agents/extensions/models/__init__.py b/src/agents/extensions/models/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/src/agents/extensions/models/litellm_model.py b/src/agents/extensions/models/litellm_model.py new file mode 100644 index 000000000..915a1ccbd --- /dev/null +++ b/src/agents/extensions/models/litellm_model.py @@ -0,0 +1,380 @@ +from __future__ import annotations + +import dataclasses +import json +import time +from collections.abc import AsyncIterator +from typing import Any, Literal, cast, overload + +import litellm.types + +from agents.exceptions import ModelBehaviorError + +try: + import litellm +except ImportError as _e: + raise ImportError( + "`litellm` is required to use the LitellmModel. You can install it via the optional " + "dependency group: `pip install 'openai-agents[litellm]'`." + ) from _e + +from openai import NOT_GIVEN, AsyncStream, NotGiven +from openai.types.chat import ChatCompletionChunk, ChatCompletionMessageToolCall +from openai.types.chat.chat_completion_message import ( + Annotation, + AnnotationURLCitation, + ChatCompletionMessage, +) +from openai.types.chat.chat_completion_message_tool_call import Function +from openai.types.responses import Response + +from ... import _debug +from ...agent_output import AgentOutputSchema +from ...handoffs import Handoff +from ...items import ModelResponse, TResponseInputItem, TResponseStreamEvent +from ...logger import logger +from ...model_settings import ModelSettings +from ...models.chatcmpl_converter import Converter +from ...models.chatcmpl_helpers import HEADERS +from ...models.chatcmpl_stream_handler import ChatCmplStreamHandler +from ...models.fake_id import FAKE_RESPONSES_ID +from ...models.interface import Model, ModelTracing +from ...tool import Tool +from ...tracing import generation_span +from ...tracing.span_data import GenerationSpanData +from ...tracing.spans import Span +from ...usage import Usage + + +class LitellmModel(Model): + def __init__( + self, + model: str, + base_url: str | None = None, + api_key: str | None = None, + ): + self.model = model + self.base_url = base_url + self.api_key = api_key + + async def get_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + tracing: ModelTracing, + previous_response_id: str | None, + ) -> ModelResponse: + with generation_span( + model=str(self.model), + model_config=dataclasses.asdict(model_settings) + | {"base_url": str(self.base_url or ""), "model_impl": "litellm"}, + disabled=tracing.is_disabled(), + ) as span_generation: + response = await self._fetch_response( + system_instructions, + input, + model_settings, + tools, + output_schema, + handoffs, + span_generation, + tracing, + stream=False, + ) + + assert isinstance(response.choices[0], litellm.types.utils.Choices) + + if _debug.DONT_LOG_MODEL_DATA: + logger.debug("Received model response") + else: + logger.debug( + f"LLM resp:\n{json.dumps(response.choices[0].message.model_dump(), indent=2)}\n" + ) + + if hasattr(response, "usage"): + response_usage = response.usage + usage = ( + Usage( + requests=1, + input_tokens=response_usage.prompt_tokens, + output_tokens=response_usage.completion_tokens, + total_tokens=response_usage.total_tokens, + ) + if response.usage + else Usage() + ) + else: + usage = Usage() + logger.warning("No usage information returned from Litellm") + + if tracing.include_data(): + span_generation.span_data.output = [response.choices[0].message.model_dump()] + span_generation.span_data.usage = { + "input_tokens": usage.input_tokens, + "output_tokens": usage.output_tokens, + } + + items = Converter.message_to_output_items( + LitellmConverter.convert_message_to_openai(response.choices[0].message) + ) + + return ModelResponse( + output=items, + usage=usage, + response_id=None, + ) + + async def stream_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + tracing: ModelTracing, + *, + previous_response_id: str | None, + ) -> AsyncIterator[TResponseStreamEvent]: + """ + Yields a partial message as it is generated, as well as the usage information. + """ + with generation_span( + model=str(self.model), + model_config=dataclasses.asdict(model_settings) + | {"base_url": str(self.base_url or ""), "model_impl": "litellm"}, + disabled=tracing.is_disabled(), + ) as span_generation: + response, stream = await self._fetch_response( + system_instructions, + input, + model_settings, + tools, + output_schema, + handoffs, + span_generation, + tracing, + stream=True, + ) + + final_response: Response | None = None + async for chunk in ChatCmplStreamHandler.handle_stream(response, stream): + yield chunk + + if chunk.type == "response.completed": + final_response = chunk.response + + if tracing.include_data() and final_response: + span_generation.span_data.output = [final_response.model_dump()] + + if final_response and final_response.usage: + span_generation.span_data.usage = { + "input_tokens": final_response.usage.input_tokens, + "output_tokens": final_response.usage.output_tokens, + } + + @overload + async def _fetch_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + span: Span[GenerationSpanData], + tracing: ModelTracing, + stream: Literal[True], + ) -> tuple[Response, AsyncStream[ChatCompletionChunk]]: ... + + @overload + async def _fetch_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + span: Span[GenerationSpanData], + tracing: ModelTracing, + stream: Literal[False], + ) -> litellm.types.utils.ModelResponse: ... + + async def _fetch_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + span: Span[GenerationSpanData], + tracing: ModelTracing, + stream: bool = False, + ) -> litellm.types.utils.ModelResponse | tuple[Response, AsyncStream[ChatCompletionChunk]]: + converted_messages = Converter.items_to_messages(input) + + if system_instructions: + converted_messages.insert( + 0, + { + "content": system_instructions, + "role": "system", + }, + ) + if tracing.include_data(): + span.span_data.input = converted_messages + + parallel_tool_calls = ( + True + if model_settings.parallel_tool_calls and tools and len(tools) > 0 + else False + if model_settings.parallel_tool_calls is False + else None + ) + tool_choice = Converter.convert_tool_choice(model_settings.tool_choice) + response_format = Converter.convert_response_format(output_schema) + + converted_tools = [Converter.tool_to_openai(tool) for tool in tools] if tools else [] + + for handoff in handoffs: + converted_tools.append(Converter.convert_handoff_tool(handoff)) + + if _debug.DONT_LOG_MODEL_DATA: + logger.debug("Calling LLM") + else: + logger.debug( + f"Calling Litellm model: {self.model}\n" + f"{json.dumps(converted_messages, indent=2)}\n" + f"Tools:\n{json.dumps(converted_tools, indent=2)}\n" + f"Stream: {stream}\n" + f"Tool choice: {tool_choice}\n" + f"Response format: {response_format}\n" + ) + + reasoning_effort = model_settings.reasoning.effort if model_settings.reasoning else None + + stream_options = None + if stream and model_settings.include_usage is not None: + stream_options = {"include_usage": model_settings.include_usage} + + extra_kwargs = {} + if model_settings.extra_query: + extra_kwargs["extra_query"] = model_settings.extra_query + if model_settings.metadata: + extra_kwargs["metadata"] = model_settings.metadata + + ret = await litellm.acompletion( + model=self.model, + messages=converted_messages, + tools=converted_tools or None, + temperature=model_settings.temperature, + top_p=model_settings.top_p, + frequency_penalty=model_settings.frequency_penalty, + presence_penalty=model_settings.presence_penalty, + max_tokens=model_settings.max_tokens, + tool_choice=self._remove_not_given(tool_choice), + response_format=self._remove_not_given(response_format), + parallel_tool_calls=parallel_tool_calls, + stream=stream, + stream_options=stream_options, + reasoning_effort=reasoning_effort, + extra_headers=HEADERS, + api_key=self.api_key, + base_url=self.base_url, + **extra_kwargs, + ) + + if isinstance(ret, litellm.types.utils.ModelResponse): + return ret + + response = Response( + id=FAKE_RESPONSES_ID, + created_at=time.time(), + model=self.model, + object="response", + output=[], + tool_choice=cast(Literal["auto", "required", "none"], tool_choice) + if tool_choice != NOT_GIVEN + else "auto", + top_p=model_settings.top_p, + temperature=model_settings.temperature, + tools=[], + parallel_tool_calls=parallel_tool_calls or False, + reasoning=model_settings.reasoning, + ) + return response, ret + + def _remove_not_given(self, value: Any) -> Any: + if isinstance(value, NotGiven): + return None + return value + + +class LitellmConverter: + @classmethod + def convert_message_to_openai( + cls, message: litellm.types.utils.Message + ) -> ChatCompletionMessage: + if message.role != "assistant": + raise ModelBehaviorError(f"Unsupported role: {message.role}") + + tool_calls = ( + [LitellmConverter.convert_tool_call_to_openai(tool) for tool in message.tool_calls] + if message.tool_calls + else None + ) + + provider_specific_fields = message.get("provider_specific_fields", None) + refusal = ( + provider_specific_fields.get("refusal", None) if provider_specific_fields else None + ) + + return ChatCompletionMessage( + content=message.content, + refusal=refusal, + role="assistant", + annotations=cls.convert_annotations_to_openai(message), + audio=message.get("audio", None), # litellm deletes audio if not present + tool_calls=tool_calls, + ) + + @classmethod + def convert_annotations_to_openai( + cls, message: litellm.types.utils.Message + ) -> list[Annotation] | None: + annotations: list[litellm.types.llms.openai.ChatCompletionAnnotation] | None = message.get( + "annotations", None + ) + if not annotations: + return None + + return [ + Annotation( + type="url_citation", + url_citation=AnnotationURLCitation( + start_index=annotation["url_citation"]["start_index"], + end_index=annotation["url_citation"]["end_index"], + url=annotation["url_citation"]["url"], + title=annotation["url_citation"]["title"], + ), + ) + for annotation in annotations + ] + + @classmethod + def convert_tool_call_to_openai( + cls, tool_call: litellm.types.utils.ChatCompletionMessageToolCall + ) -> ChatCompletionMessageToolCall: + return ChatCompletionMessageToolCall( + id=tool_call.id, + type="function", + function=Function( + name=tool_call.function.name or "", arguments=tool_call.function.arguments + ), + ) diff --git a/src/agents/models/chatcmpl_helpers.py b/src/agents/models/chatcmpl_helpers.py new file mode 100644 index 000000000..0cee21ecc --- /dev/null +++ b/src/agents/models/chatcmpl_helpers.py @@ -0,0 +1,37 @@ +from __future__ import annotations + +from openai import AsyncOpenAI + +from ..model_settings import ModelSettings +from ..version import __version__ + +_USER_AGENT = f"Agents/Python {__version__}" +HEADERS = {"User-Agent": _USER_AGENT} + + +class ChatCmplHelpers: + @classmethod + def is_openai(cls, client: AsyncOpenAI): + return str(client.base_url).startswith("https://api.openai.com") + + @classmethod + def get_store_param(cls, client: AsyncOpenAI, model_settings: ModelSettings) -> bool | None: + # Match the behavior of Responses where store is True when not given + default_store = True if cls.is_openai(client) else None + return model_settings.store if model_settings.store is not None else default_store + + @classmethod + def get_stream_options_param( + cls, client: AsyncOpenAI, model_settings: ModelSettings, stream: bool + ) -> dict[str, bool] | None: + if not stream: + return None + + default_include_usage = True if cls.is_openai(client) else None + include_usage = ( + model_settings.include_usage + if model_settings.include_usage is not None + else default_include_usage + ) + stream_options = {"include_usage": include_usage} if include_usage is not None else None + return stream_options diff --git a/src/agents/models/openai_chatcompletions.py b/src/agents/models/openai_chatcompletions.py index c399168de..9989c1ee0 100644 --- a/src/agents/models/openai_chatcompletions.py +++ b/src/agents/models/openai_chatcompletions.py @@ -21,8 +21,8 @@ from ..tracing.span_data import GenerationSpanData from ..tracing.spans import Span from ..usage import Usage -from ..version import __version__ from .chatcmpl_converter import Converter +from .chatcmpl_helpers import HEADERS, ChatCmplHelpers from .chatcmpl_stream_handler import ChatCmplStreamHandler from .fake_id import FAKE_RESPONSES_ID from .interface import Model, ModelTracing @@ -31,10 +31,6 @@ from ..model_settings import ModelSettings -_USER_AGENT = f"Agents/Python {__version__}" -_HEADERS = {"User-Agent": _USER_AGENT} - - class OpenAIChatCompletionsModel(Model): def __init__( self, @@ -237,9 +233,9 @@ async def _fetch_response( ) reasoning_effort = model_settings.reasoning.effort if model_settings.reasoning else None - store = _Helpers.get_store_param(self._get_client(), model_settings) + store = ChatCmplHelpers.get_store_param(self._get_client(), model_settings) - stream_options = _Helpers.get_stream_options_param( + stream_options = ChatCmplHelpers.get_stream_options_param( self._get_client(), model_settings, stream=stream ) @@ -259,7 +255,7 @@ async def _fetch_response( stream_options=self._non_null_or_not_given(stream_options), store=self._non_null_or_not_given(store), reasoning_effort=self._non_null_or_not_given(reasoning_effort), - extra_headers=_HEADERS, + extra_headers=HEADERS, extra_query=model_settings.extra_query, extra_body=model_settings.extra_body, metadata=self._non_null_or_not_given(model_settings.metadata), @@ -289,31 +285,3 @@ def _get_client(self) -> AsyncOpenAI: if self._client is None: self._client = AsyncOpenAI() return self._client - - -class _Helpers: - @classmethod - def is_openai(cls, client: AsyncOpenAI): - return str(client.base_url).startswith("https://api.openai.com") - - @classmethod - def get_store_param(cls, client: AsyncOpenAI, model_settings: ModelSettings) -> bool | None: - # Match the behavior of Responses where store is True when not given - default_store = True if cls.is_openai(client) else None - return model_settings.store if model_settings.store is not None else default_store - - @classmethod - def get_stream_options_param( - cls, client: AsyncOpenAI, model_settings: ModelSettings, stream: bool - ) -> dict[str, bool] | None: - if not stream: - return None - - default_include_usage = True if cls.is_openai(client) else None - include_usage = ( - model_settings.include_usage - if model_settings.include_usage is not None - else default_include_usage - ) - stream_options = {"include_usage": include_usage} if include_usage is not None else None - return stream_options diff --git a/tests/test_openai_chatcompletions.py b/tests/test_openai_chatcompletions.py index b0fc1f321..ba3ec68d0 100644 --- a/tests/test_openai_chatcompletions.py +++ b/tests/test_openai_chatcompletions.py @@ -30,8 +30,8 @@ OpenAIProvider, generation_span, ) +from agents.models.chatcmpl_helpers import ChatCmplHelpers from agents.models.fake_id import FAKE_RESPONSES_ID -from agents.models.openai_chatcompletions import _Helpers @pytest.mark.allow_call_model_methods @@ -301,32 +301,32 @@ def test_store_param(): model_settings = ModelSettings() client = AsyncOpenAI() - assert _Helpers.get_store_param(client, model_settings) is True, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is True, ( "Should default to True for OpenAI API calls" ) model_settings = ModelSettings(store=False) - assert _Helpers.get_store_param(client, model_settings) is False, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is False, ( "Should respect explicitly set store=False" ) model_settings = ModelSettings(store=True) - assert _Helpers.get_store_param(client, model_settings) is True, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is True, ( "Should respect explicitly set store=True" ) client = AsyncOpenAI(base_url="http://www.notopenai.com") model_settings = ModelSettings() - assert _Helpers.get_store_param(client, model_settings) is None, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is None, ( "Should default to None for non-OpenAI API calls" ) model_settings = ModelSettings(store=False) - assert _Helpers.get_store_param(client, model_settings) is False, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is False, ( "Should respect explicitly set store=False" ) model_settings = ModelSettings(store=True) - assert _Helpers.get_store_param(client, model_settings) is True, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is True, ( "Should respect explicitly set store=True" ) diff --git a/uv.lock b/uv.lock index d4b825461..10a991a26 100644 --- a/uv.lock +++ b/uv.lock @@ -6,6 +6,125 @@ resolution-markers = [ "python_full_version < '3.10'", ] 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tests/test_openai_chatcompletions.py | 14 +- uv.lock | 1545 +++++++++++++---- 8 files changed, 1697 insertions(+), 375 deletions(-) create mode 100644 examples/model_providers/litellm_provider.py create mode 100644 src/agents/extensions/models/__init__.py create mode 100644 src/agents/extensions/models/litellm_model.py create mode 100644 src/agents/models/chatcmpl_helpers.py diff --git a/examples/model_providers/litellm_provider.py b/examples/model_providers/litellm_provider.py new file mode 100644 index 000000000..4a1a696fc --- /dev/null +++ b/examples/model_providers/litellm_provider.py @@ -0,0 +1,55 @@ +from __future__ import annotations + +import asyncio + +from agents import Agent, Runner, function_tool, set_tracing_disabled +from agents.extensions.models.litellm_model import LitellmModel + +"""This example uses the LitellmModel directly, to hit any model provider. +You can run it like this: +uv run examples/model_providers/litellm_provider.py --model anthropic/claude-3-5-sonnet-20240620 +or +uv run examples/model_providers/litellm_provider.py --model gemini/gemini-2.0-flash + +Find more providers here: https://docs.litellm.ai/docs/providers +""" + +set_tracing_disabled(disabled=True) + + +@function_tool +def get_weather(city: str): + print(f"[debug] getting weather for {city}") + return f"The weather in {city} is sunny." + + +async def main(model: str, api_key: str): + agent = Agent( + name="Assistant", + instructions="You only respond in haikus.", + model=LitellmModel(model=model, api_key=api_key), + tools=[get_weather], + ) + + result = await Runner.run(agent, "What's the weather in Tokyo?") + print(result.final_output) + + +if __name__ == "__main__": + # First try to get model/api key from args + import argparse + + parser = argparse.ArgumentParser() + parser.add_argument("--model", type=str, required=False) + parser.add_argument("--api-key", type=str, required=False) + args = parser.parse_args() + + model = args.model + if not model: + model = input("Enter a model name for Litellm: ") + + api_key = args.api_key + if not api_key: + api_key = input("Enter an API key for Litellm: ") + + asyncio.run(main(model, api_key)) diff --git a/pyproject.toml b/pyproject.toml index 1eefadd93..1eb8c63e7 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -36,6 +36,7 @@ Repository = "https://github.com/openai/openai-agents-python" [project.optional-dependencies] voice = ["numpy>=2.2.0, <3; python_version>='3.10'", "websockets>=15.0, <16"] viz = ["graphviz>=0.17"] +litellm = ["litellm>=1.65.0, <2"] [dependency-groups] dev = [ diff --git a/src/agents/extensions/models/__init__.py b/src/agents/extensions/models/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/src/agents/extensions/models/litellm_model.py b/src/agents/extensions/models/litellm_model.py new file mode 100644 index 000000000..915a1ccbd --- /dev/null +++ b/src/agents/extensions/models/litellm_model.py @@ -0,0 +1,380 @@ +from __future__ import annotations + +import dataclasses +import json +import time +from collections.abc import AsyncIterator +from typing import Any, Literal, cast, overload + +import litellm.types + +from agents.exceptions import ModelBehaviorError + +try: + import litellm +except ImportError as _e: + raise ImportError( + "`litellm` is required to use the LitellmModel. You can install it via the optional " + "dependency group: `pip install 'openai-agents[litellm]'`." + ) from _e + +from openai import NOT_GIVEN, AsyncStream, NotGiven +from openai.types.chat import ChatCompletionChunk, ChatCompletionMessageToolCall +from openai.types.chat.chat_completion_message import ( + Annotation, + AnnotationURLCitation, + ChatCompletionMessage, +) +from openai.types.chat.chat_completion_message_tool_call import Function +from openai.types.responses import Response + +from ... import _debug +from ...agent_output import AgentOutputSchema +from ...handoffs import Handoff +from ...items import ModelResponse, TResponseInputItem, TResponseStreamEvent +from ...logger import logger +from ...model_settings import ModelSettings +from ...models.chatcmpl_converter import Converter +from ...models.chatcmpl_helpers import HEADERS +from ...models.chatcmpl_stream_handler import ChatCmplStreamHandler +from ...models.fake_id import FAKE_RESPONSES_ID +from ...models.interface import Model, ModelTracing +from ...tool import Tool +from ...tracing import generation_span +from ...tracing.span_data import GenerationSpanData +from ...tracing.spans import Span +from ...usage import Usage + + +class LitellmModel(Model): + def __init__( + self, + model: str, + base_url: str | None = None, + api_key: str | None = None, + ): + self.model = model + self.base_url = base_url + self.api_key = api_key + + async def get_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + tracing: ModelTracing, + previous_response_id: str | None, + ) -> ModelResponse: + with generation_span( + model=str(self.model), + model_config=dataclasses.asdict(model_settings) + | {"base_url": str(self.base_url or ""), "model_impl": "litellm"}, + disabled=tracing.is_disabled(), + ) as span_generation: + response = await self._fetch_response( + system_instructions, + input, + model_settings, + tools, + output_schema, + handoffs, + span_generation, + tracing, + stream=False, + ) + + assert isinstance(response.choices[0], litellm.types.utils.Choices) + + if _debug.DONT_LOG_MODEL_DATA: + logger.debug("Received model response") + else: + logger.debug( + f"LLM resp:\n{json.dumps(response.choices[0].message.model_dump(), indent=2)}\n" + ) + + if hasattr(response, "usage"): + response_usage = response.usage + usage = ( + Usage( + requests=1, + input_tokens=response_usage.prompt_tokens, + output_tokens=response_usage.completion_tokens, + total_tokens=response_usage.total_tokens, + ) + if response.usage + else Usage() + ) + else: + usage = Usage() + logger.warning("No usage information returned from Litellm") + + if tracing.include_data(): + span_generation.span_data.output = [response.choices[0].message.model_dump()] + span_generation.span_data.usage = { + "input_tokens": usage.input_tokens, + "output_tokens": usage.output_tokens, + } + + items = Converter.message_to_output_items( + LitellmConverter.convert_message_to_openai(response.choices[0].message) + ) + + return ModelResponse( + output=items, + usage=usage, + response_id=None, + ) + + async def stream_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + tracing: ModelTracing, + *, + previous_response_id: str | None, + ) -> AsyncIterator[TResponseStreamEvent]: + """ + Yields a partial message as it is generated, as well as the usage information. + """ + with generation_span( + model=str(self.model), + model_config=dataclasses.asdict(model_settings) + | {"base_url": str(self.base_url or ""), "model_impl": "litellm"}, + disabled=tracing.is_disabled(), + ) as span_generation: + response, stream = await self._fetch_response( + system_instructions, + input, + model_settings, + tools, + output_schema, + handoffs, + span_generation, + tracing, + stream=True, + ) + + final_response: Response | None = None + async for chunk in ChatCmplStreamHandler.handle_stream(response, stream): + yield chunk + + if chunk.type == "response.completed": + final_response = chunk.response + + if tracing.include_data() and final_response: + span_generation.span_data.output = [final_response.model_dump()] + + if final_response and final_response.usage: + span_generation.span_data.usage = { + "input_tokens": final_response.usage.input_tokens, + "output_tokens": final_response.usage.output_tokens, + } + + @overload + async def _fetch_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + span: Span[GenerationSpanData], + tracing: ModelTracing, + stream: Literal[True], + ) -> tuple[Response, AsyncStream[ChatCompletionChunk]]: ... + + @overload + async def _fetch_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + span: Span[GenerationSpanData], + tracing: ModelTracing, + stream: Literal[False], + ) -> litellm.types.utils.ModelResponse: ... + + async def _fetch_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + span: Span[GenerationSpanData], + tracing: ModelTracing, + stream: bool = False, + ) -> litellm.types.utils.ModelResponse | tuple[Response, AsyncStream[ChatCompletionChunk]]: + converted_messages = Converter.items_to_messages(input) + + if system_instructions: + converted_messages.insert( + 0, + { + "content": system_instructions, + "role": "system", + }, + ) + if tracing.include_data(): + span.span_data.input = converted_messages + + parallel_tool_calls = ( + True + if model_settings.parallel_tool_calls and tools and len(tools) > 0 + else False + if model_settings.parallel_tool_calls is False + else None + ) + tool_choice = Converter.convert_tool_choice(model_settings.tool_choice) + response_format = Converter.convert_response_format(output_schema) + + converted_tools = [Converter.tool_to_openai(tool) for tool in tools] if tools else [] + + for handoff in handoffs: + converted_tools.append(Converter.convert_handoff_tool(handoff)) + + if _debug.DONT_LOG_MODEL_DATA: + logger.debug("Calling LLM") + else: + logger.debug( + f"Calling Litellm model: {self.model}\n" + f"{json.dumps(converted_messages, indent=2)}\n" + f"Tools:\n{json.dumps(converted_tools, indent=2)}\n" + f"Stream: {stream}\n" + f"Tool choice: {tool_choice}\n" + f"Response format: {response_format}\n" + ) + + reasoning_effort = model_settings.reasoning.effort if model_settings.reasoning else None + + stream_options = None + if stream and model_settings.include_usage is not None: + stream_options = {"include_usage": model_settings.include_usage} + + extra_kwargs = {} + if model_settings.extra_query: + extra_kwargs["extra_query"] = model_settings.extra_query + if model_settings.metadata: + extra_kwargs["metadata"] = model_settings.metadata + + ret = await litellm.acompletion( + model=self.model, + messages=converted_messages, + tools=converted_tools or None, + temperature=model_settings.temperature, + top_p=model_settings.top_p, + frequency_penalty=model_settings.frequency_penalty, + presence_penalty=model_settings.presence_penalty, + max_tokens=model_settings.max_tokens, + tool_choice=self._remove_not_given(tool_choice), + response_format=self._remove_not_given(response_format), + parallel_tool_calls=parallel_tool_calls, + stream=stream, + stream_options=stream_options, + reasoning_effort=reasoning_effort, + extra_headers=HEADERS, + api_key=self.api_key, + base_url=self.base_url, + **extra_kwargs, + ) + + if isinstance(ret, litellm.types.utils.ModelResponse): + return ret + + response = Response( + id=FAKE_RESPONSES_ID, + created_at=time.time(), + model=self.model, + object="response", + output=[], + tool_choice=cast(Literal["auto", "required", "none"], tool_choice) + if tool_choice != NOT_GIVEN + else "auto", + top_p=model_settings.top_p, + temperature=model_settings.temperature, + tools=[], + parallel_tool_calls=parallel_tool_calls or False, + reasoning=model_settings.reasoning, + ) + return response, ret + + def _remove_not_given(self, value: Any) -> Any: + if isinstance(value, NotGiven): + return None + return value + + +class LitellmConverter: + @classmethod + def convert_message_to_openai( + cls, message: litellm.types.utils.Message + ) -> ChatCompletionMessage: + if message.role != "assistant": + raise ModelBehaviorError(f"Unsupported role: {message.role}") + + tool_calls = ( + [LitellmConverter.convert_tool_call_to_openai(tool) for tool in message.tool_calls] + if message.tool_calls + else None + ) + + provider_specific_fields = message.get("provider_specific_fields", None) + refusal = ( + provider_specific_fields.get("refusal", None) if provider_specific_fields else None + ) + + return ChatCompletionMessage( + content=message.content, + refusal=refusal, + role="assistant", + annotations=cls.convert_annotations_to_openai(message), + audio=message.get("audio", None), # litellm deletes audio if not present + tool_calls=tool_calls, + ) + + @classmethod + def convert_annotations_to_openai( + cls, message: litellm.types.utils.Message + ) -> list[Annotation] | None: + annotations: list[litellm.types.llms.openai.ChatCompletionAnnotation] | None = message.get( + "annotations", None + ) + if not annotations: + return None + + return [ + Annotation( + type="url_citation", + url_citation=AnnotationURLCitation( + start_index=annotation["url_citation"]["start_index"], + end_index=annotation["url_citation"]["end_index"], + url=annotation["url_citation"]["url"], + title=annotation["url_citation"]["title"], + ), + ) + for annotation in annotations + ] + + @classmethod + def convert_tool_call_to_openai( + cls, tool_call: litellm.types.utils.ChatCompletionMessageToolCall + ) -> ChatCompletionMessageToolCall: + return ChatCompletionMessageToolCall( + id=tool_call.id, + type="function", + function=Function( + name=tool_call.function.name or "", arguments=tool_call.function.arguments + ), + ) diff --git a/src/agents/models/chatcmpl_helpers.py b/src/agents/models/chatcmpl_helpers.py new file mode 100644 index 000000000..0cee21ecc --- /dev/null +++ b/src/agents/models/chatcmpl_helpers.py @@ -0,0 +1,37 @@ +from __future__ import annotations + +from openai import AsyncOpenAI + +from ..model_settings import ModelSettings +from ..version import __version__ + +_USER_AGENT = f"Agents/Python {__version__}" +HEADERS = {"User-Agent": _USER_AGENT} + + +class ChatCmplHelpers: + @classmethod + def is_openai(cls, client: AsyncOpenAI): + return str(client.base_url).startswith("https://api.openai.com") + + @classmethod + def get_store_param(cls, client: AsyncOpenAI, model_settings: ModelSettings) -> bool | None: + # Match the behavior of Responses where store is True when not given + default_store = True if cls.is_openai(client) else None + return model_settings.store if model_settings.store is not None else default_store + + @classmethod + def get_stream_options_param( + cls, client: AsyncOpenAI, model_settings: ModelSettings, stream: bool + ) -> dict[str, bool] | None: + if not stream: + return None + + default_include_usage = True if cls.is_openai(client) else None + include_usage = ( + model_settings.include_usage + if model_settings.include_usage is not None + else default_include_usage + ) + stream_options = {"include_usage": include_usage} if include_usage is not None else None + return stream_options diff --git a/src/agents/models/openai_chatcompletions.py b/src/agents/models/openai_chatcompletions.py index c399168de..9989c1ee0 100644 --- a/src/agents/models/openai_chatcompletions.py +++ b/src/agents/models/openai_chatcompletions.py @@ -21,8 +21,8 @@ from ..tracing.span_data import GenerationSpanData from ..tracing.spans import Span from ..usage import Usage -from ..version import __version__ from .chatcmpl_converter import Converter +from .chatcmpl_helpers import HEADERS, ChatCmplHelpers from .chatcmpl_stream_handler import ChatCmplStreamHandler from .fake_id import FAKE_RESPONSES_ID from .interface import Model, ModelTracing @@ -31,10 +31,6 @@ from ..model_settings import ModelSettings -_USER_AGENT = f"Agents/Python {__version__}" -_HEADERS = {"User-Agent": _USER_AGENT} - - class OpenAIChatCompletionsModel(Model): def __init__( self, @@ -237,9 +233,9 @@ async def _fetch_response( ) reasoning_effort = model_settings.reasoning.effort if model_settings.reasoning else None - store = _Helpers.get_store_param(self._get_client(), model_settings) + store = ChatCmplHelpers.get_store_param(self._get_client(), model_settings) - stream_options = _Helpers.get_stream_options_param( + stream_options = ChatCmplHelpers.get_stream_options_param( self._get_client(), model_settings, stream=stream ) @@ -259,7 +255,7 @@ async def _fetch_response( stream_options=self._non_null_or_not_given(stream_options), store=self._non_null_or_not_given(store), reasoning_effort=self._non_null_or_not_given(reasoning_effort), - extra_headers=_HEADERS, + extra_headers=HEADERS, extra_query=model_settings.extra_query, extra_body=model_settings.extra_body, metadata=self._non_null_or_not_given(model_settings.metadata), @@ -289,31 +285,3 @@ def _get_client(self) -> AsyncOpenAI: if self._client is None: self._client = AsyncOpenAI() return self._client - - -class _Helpers: - @classmethod - def is_openai(cls, client: AsyncOpenAI): - return str(client.base_url).startswith("https://api.openai.com") - - @classmethod - def get_store_param(cls, client: AsyncOpenAI, model_settings: ModelSettings) -> bool | None: - # Match the behavior of Responses where store is True when not given - default_store = True if cls.is_openai(client) else None - return model_settings.store if model_settings.store is not None else default_store - - @classmethod - def get_stream_options_param( - cls, client: AsyncOpenAI, model_settings: ModelSettings, stream: bool - ) -> dict[str, bool] | None: - if not stream: - return None - - default_include_usage = True if cls.is_openai(client) else None - include_usage = ( - model_settings.include_usage - if model_settings.include_usage is not None - else default_include_usage - ) - stream_options = {"include_usage": include_usage} if include_usage is not None else None - return stream_options diff --git a/tests/test_openai_chatcompletions.py b/tests/test_openai_chatcompletions.py index b0fc1f321..ba3ec68d0 100644 --- a/tests/test_openai_chatcompletions.py +++ b/tests/test_openai_chatcompletions.py @@ -30,8 +30,8 @@ OpenAIProvider, generation_span, ) +from agents.models.chatcmpl_helpers import ChatCmplHelpers from agents.models.fake_id import FAKE_RESPONSES_ID -from agents.models.openai_chatcompletions import _Helpers @pytest.mark.allow_call_model_methods @@ -301,32 +301,32 @@ def test_store_param(): model_settings = ModelSettings() client = AsyncOpenAI() - assert _Helpers.get_store_param(client, model_settings) is True, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is True, ( "Should default to True for OpenAI API calls" ) model_settings = ModelSettings(store=False) - assert _Helpers.get_store_param(client, model_settings) is False, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is False, ( "Should respect explicitly set store=False" ) model_settings = ModelSettings(store=True) - assert _Helpers.get_store_param(client, model_settings) is True, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is True, ( "Should respect explicitly set store=True" ) client = AsyncOpenAI(base_url="http://www.notopenai.com") model_settings = ModelSettings() - assert _Helpers.get_store_param(client, model_settings) is None, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is None, ( "Should default to None for non-OpenAI API calls" ) model_settings = ModelSettings(store=False) - assert _Helpers.get_store_param(client, model_settings) is False, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is False, ( "Should respect explicitly set store=False" ) model_settings = ModelSettings(store=True) - assert _Helpers.get_store_param(client, model_settings) is True, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is True, ( "Should respect explicitly set store=True" ) diff --git a/uv.lock b/uv.lock index d4b825461..029a9e1bd 100644 --- a/uv.lock +++ b/uv.lock @@ -6,6 +6,125 @@ resolution-markers = [ "python_full_version < '3.10'", ] 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src/agents/extensions/models/__init__.py create mode 100644 src/agents/extensions/models/litellm_model.py create mode 100644 src/agents/models/chatcmpl_helpers.py diff --git a/examples/model_providers/litellm_provider.py b/examples/model_providers/litellm_provider.py new file mode 100644 index 000000000..4a1a696fc --- /dev/null +++ b/examples/model_providers/litellm_provider.py @@ -0,0 +1,55 @@ +from __future__ import annotations + +import asyncio + +from agents import Agent, Runner, function_tool, set_tracing_disabled +from agents.extensions.models.litellm_model import LitellmModel + +"""This example uses the LitellmModel directly, to hit any model provider. +You can run it like this: +uv run examples/model_providers/litellm_provider.py --model anthropic/claude-3-5-sonnet-20240620 +or +uv run examples/model_providers/litellm_provider.py --model gemini/gemini-2.0-flash + +Find more providers here: https://docs.litellm.ai/docs/providers +""" + +set_tracing_disabled(disabled=True) + + +@function_tool +def get_weather(city: str): + print(f"[debug] getting weather for {city}") + return f"The weather in {city} is sunny." + + +async def main(model: str, api_key: str): + agent = Agent( + name="Assistant", + instructions="You only respond in haikus.", + model=LitellmModel(model=model, api_key=api_key), + tools=[get_weather], + ) + + result = await Runner.run(agent, "What's the weather in Tokyo?") + print(result.final_output) + + +if __name__ == "__main__": + # First try to get model/api key from args + import argparse + + parser = argparse.ArgumentParser() + parser.add_argument("--model", type=str, required=False) + parser.add_argument("--api-key", type=str, required=False) + args = parser.parse_args() + + model = args.model + if not model: + model = input("Enter a model name for Litellm: ") + + api_key = args.api_key + if not api_key: + api_key = input("Enter an API key for Litellm: ") + + asyncio.run(main(model, api_key)) diff --git a/pyproject.toml b/pyproject.toml index 1eefadd93..f94eb8593 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -36,6 +36,7 @@ Repository = "https://github.com/openai/openai-agents-python" [project.optional-dependencies] voice = ["numpy>=2.2.0, <3; python_version>='3.10'", "websockets>=15.0, <16"] viz = ["graphviz>=0.17"] +litellm = ["litellm>=1.65.0, <2"] [dependency-groups] dev = [ @@ -44,7 +45,7 @@ dev = [ "pytest", "pytest-asyncio", "pytest-mock>=3.14.0", - "rich", + "rich>=13.1.0, <14", "mkdocs>=1.6.0", "mkdocs-material>=9.6.0", "mkdocstrings[python]>=0.28.0", diff --git a/src/agents/extensions/models/__init__.py b/src/agents/extensions/models/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/src/agents/extensions/models/litellm_model.py b/src/agents/extensions/models/litellm_model.py new file mode 100644 index 000000000..915a1ccbd --- /dev/null +++ b/src/agents/extensions/models/litellm_model.py @@ -0,0 +1,380 @@ +from __future__ import annotations + +import dataclasses +import json +import time +from collections.abc import AsyncIterator +from typing import Any, Literal, cast, overload + +import litellm.types + +from agents.exceptions import ModelBehaviorError + +try: + import litellm +except ImportError as _e: + raise ImportError( + "`litellm` is required to use the LitellmModel. You can install it via the optional " + "dependency group: `pip install 'openai-agents[litellm]'`." + ) from _e + +from openai import NOT_GIVEN, AsyncStream, NotGiven +from openai.types.chat import ChatCompletionChunk, ChatCompletionMessageToolCall +from openai.types.chat.chat_completion_message import ( + Annotation, + AnnotationURLCitation, + ChatCompletionMessage, +) +from openai.types.chat.chat_completion_message_tool_call import Function +from openai.types.responses import Response + +from ... import _debug +from ...agent_output import AgentOutputSchema +from ...handoffs import Handoff +from ...items import ModelResponse, TResponseInputItem, TResponseStreamEvent +from ...logger import logger +from ...model_settings import ModelSettings +from ...models.chatcmpl_converter import Converter +from ...models.chatcmpl_helpers import HEADERS +from ...models.chatcmpl_stream_handler import ChatCmplStreamHandler +from ...models.fake_id import FAKE_RESPONSES_ID +from ...models.interface import Model, ModelTracing +from ...tool import Tool +from ...tracing import generation_span +from ...tracing.span_data import GenerationSpanData +from ...tracing.spans import Span +from ...usage import Usage + + +class LitellmModel(Model): + def __init__( + self, + model: str, + base_url: str | None = None, + api_key: str | None = None, + ): + self.model = model + self.base_url = base_url + self.api_key = api_key + + async def get_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + tracing: ModelTracing, + previous_response_id: str | None, + ) -> ModelResponse: + with generation_span( + model=str(self.model), + model_config=dataclasses.asdict(model_settings) + | {"base_url": str(self.base_url or ""), "model_impl": "litellm"}, + disabled=tracing.is_disabled(), + ) as span_generation: + response = await self._fetch_response( + system_instructions, + input, + model_settings, + tools, + output_schema, + handoffs, + span_generation, + tracing, + stream=False, + ) + + assert isinstance(response.choices[0], litellm.types.utils.Choices) + + if _debug.DONT_LOG_MODEL_DATA: + logger.debug("Received model response") + else: + logger.debug( + f"LLM resp:\n{json.dumps(response.choices[0].message.model_dump(), indent=2)}\n" + ) + + if hasattr(response, "usage"): + response_usage = response.usage + usage = ( + Usage( + requests=1, + input_tokens=response_usage.prompt_tokens, + output_tokens=response_usage.completion_tokens, + total_tokens=response_usage.total_tokens, + ) + if response.usage + else Usage() + ) + else: + usage = Usage() + logger.warning("No usage information returned from Litellm") + + if tracing.include_data(): + span_generation.span_data.output = [response.choices[0].message.model_dump()] + span_generation.span_data.usage = { + "input_tokens": usage.input_tokens, + "output_tokens": usage.output_tokens, + } + + items = Converter.message_to_output_items( + LitellmConverter.convert_message_to_openai(response.choices[0].message) + ) + + return ModelResponse( + output=items, + usage=usage, + response_id=None, + ) + + async def stream_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + tracing: ModelTracing, + *, + previous_response_id: str | None, + ) -> AsyncIterator[TResponseStreamEvent]: + """ + Yields a partial message as it is generated, as well as the usage information. + """ + with generation_span( + model=str(self.model), + model_config=dataclasses.asdict(model_settings) + | {"base_url": str(self.base_url or ""), "model_impl": "litellm"}, + disabled=tracing.is_disabled(), + ) as span_generation: + response, stream = await self._fetch_response( + system_instructions, + input, + model_settings, + tools, + output_schema, + handoffs, + span_generation, + tracing, + stream=True, + ) + + final_response: Response | None = None + async for chunk in ChatCmplStreamHandler.handle_stream(response, stream): + yield chunk + + if chunk.type == "response.completed": + final_response = chunk.response + + if tracing.include_data() and final_response: + span_generation.span_data.output = [final_response.model_dump()] + + if final_response and final_response.usage: + span_generation.span_data.usage = { + "input_tokens": final_response.usage.input_tokens, + "output_tokens": final_response.usage.output_tokens, + } + + @overload + async def _fetch_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + span: Span[GenerationSpanData], + tracing: ModelTracing, + stream: Literal[True], + ) -> tuple[Response, AsyncStream[ChatCompletionChunk]]: ... + + @overload + async def _fetch_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + span: Span[GenerationSpanData], + tracing: ModelTracing, + stream: Literal[False], + ) -> litellm.types.utils.ModelResponse: ... + + async def _fetch_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + span: Span[GenerationSpanData], + tracing: ModelTracing, + stream: bool = False, + ) -> litellm.types.utils.ModelResponse | tuple[Response, AsyncStream[ChatCompletionChunk]]: + converted_messages = Converter.items_to_messages(input) + + if system_instructions: + converted_messages.insert( + 0, + { + "content": system_instructions, + "role": "system", + }, + ) + if tracing.include_data(): + span.span_data.input = converted_messages + + parallel_tool_calls = ( + True + if model_settings.parallel_tool_calls and tools and len(tools) > 0 + else False + if model_settings.parallel_tool_calls is False + else None + ) + tool_choice = Converter.convert_tool_choice(model_settings.tool_choice) + response_format = Converter.convert_response_format(output_schema) + + converted_tools = [Converter.tool_to_openai(tool) for tool in tools] if tools else [] + + for handoff in handoffs: + converted_tools.append(Converter.convert_handoff_tool(handoff)) + + if _debug.DONT_LOG_MODEL_DATA: + logger.debug("Calling LLM") + else: + logger.debug( + f"Calling Litellm model: {self.model}\n" + f"{json.dumps(converted_messages, indent=2)}\n" + f"Tools:\n{json.dumps(converted_tools, indent=2)}\n" + f"Stream: {stream}\n" + f"Tool choice: {tool_choice}\n" + f"Response format: {response_format}\n" + ) + + reasoning_effort = model_settings.reasoning.effort if model_settings.reasoning else None + + stream_options = None + if stream and model_settings.include_usage is not None: + stream_options = {"include_usage": model_settings.include_usage} + + extra_kwargs = {} + if model_settings.extra_query: + extra_kwargs["extra_query"] = model_settings.extra_query + if model_settings.metadata: + extra_kwargs["metadata"] = model_settings.metadata + + ret = await litellm.acompletion( + model=self.model, + messages=converted_messages, + tools=converted_tools or None, + temperature=model_settings.temperature, + top_p=model_settings.top_p, + frequency_penalty=model_settings.frequency_penalty, + presence_penalty=model_settings.presence_penalty, + max_tokens=model_settings.max_tokens, + tool_choice=self._remove_not_given(tool_choice), + response_format=self._remove_not_given(response_format), + parallel_tool_calls=parallel_tool_calls, + stream=stream, + stream_options=stream_options, + reasoning_effort=reasoning_effort, + extra_headers=HEADERS, + api_key=self.api_key, + base_url=self.base_url, + **extra_kwargs, + ) + + if isinstance(ret, litellm.types.utils.ModelResponse): + return ret + + response = Response( + id=FAKE_RESPONSES_ID, + created_at=time.time(), + model=self.model, + object="response", + output=[], + tool_choice=cast(Literal["auto", "required", "none"], tool_choice) + if tool_choice != NOT_GIVEN + else "auto", + top_p=model_settings.top_p, + temperature=model_settings.temperature, + tools=[], + parallel_tool_calls=parallel_tool_calls or False, + reasoning=model_settings.reasoning, + ) + return response, ret + + def _remove_not_given(self, value: Any) -> Any: + if isinstance(value, NotGiven): + return None + return value + + +class LitellmConverter: + @classmethod + def convert_message_to_openai( + cls, message: litellm.types.utils.Message + ) -> ChatCompletionMessage: + if message.role != "assistant": + raise ModelBehaviorError(f"Unsupported role: {message.role}") + + tool_calls = ( + [LitellmConverter.convert_tool_call_to_openai(tool) for tool in message.tool_calls] + if message.tool_calls + else None + ) + + provider_specific_fields = message.get("provider_specific_fields", None) + refusal = ( + provider_specific_fields.get("refusal", None) if provider_specific_fields else None + ) + + return ChatCompletionMessage( + content=message.content, + refusal=refusal, + role="assistant", + annotations=cls.convert_annotations_to_openai(message), + audio=message.get("audio", None), # litellm deletes audio if not present + tool_calls=tool_calls, + ) + + @classmethod + def convert_annotations_to_openai( + cls, message: litellm.types.utils.Message + ) -> list[Annotation] | None: + annotations: list[litellm.types.llms.openai.ChatCompletionAnnotation] | None = message.get( + "annotations", None + ) + if not annotations: + return None + + return [ + Annotation( + type="url_citation", + url_citation=AnnotationURLCitation( + start_index=annotation["url_citation"]["start_index"], + end_index=annotation["url_citation"]["end_index"], + url=annotation["url_citation"]["url"], + title=annotation["url_citation"]["title"], + ), + ) + for annotation in annotations + ] + + @classmethod + def convert_tool_call_to_openai( + cls, tool_call: litellm.types.utils.ChatCompletionMessageToolCall + ) -> ChatCompletionMessageToolCall: + return ChatCompletionMessageToolCall( + id=tool_call.id, + type="function", + function=Function( + name=tool_call.function.name or "", arguments=tool_call.function.arguments + ), + ) diff --git a/src/agents/models/chatcmpl_helpers.py b/src/agents/models/chatcmpl_helpers.py new file mode 100644 index 000000000..0cee21ecc --- /dev/null +++ b/src/agents/models/chatcmpl_helpers.py @@ -0,0 +1,37 @@ +from __future__ import annotations + +from openai import AsyncOpenAI + +from ..model_settings import ModelSettings +from ..version import __version__ + +_USER_AGENT = f"Agents/Python {__version__}" +HEADERS = {"User-Agent": _USER_AGENT} + + +class ChatCmplHelpers: + @classmethod + def is_openai(cls, client: AsyncOpenAI): + return str(client.base_url).startswith("https://api.openai.com") + + @classmethod + def get_store_param(cls, client: AsyncOpenAI, model_settings: ModelSettings) -> bool | None: + # Match the behavior of Responses where store is True when not given + default_store = True if cls.is_openai(client) else None + return model_settings.store if model_settings.store is not None else default_store + + @classmethod + def get_stream_options_param( + cls, client: AsyncOpenAI, model_settings: ModelSettings, stream: bool + ) -> dict[str, bool] | None: + if not stream: + return None + + default_include_usage = True if cls.is_openai(client) else None + include_usage = ( + model_settings.include_usage + if model_settings.include_usage is not None + else default_include_usage + ) + stream_options = {"include_usage": include_usage} if include_usage is not None else None + return stream_options diff --git a/src/agents/models/openai_chatcompletions.py b/src/agents/models/openai_chatcompletions.py index c399168de..9989c1ee0 100644 --- a/src/agents/models/openai_chatcompletions.py +++ b/src/agents/models/openai_chatcompletions.py @@ -21,8 +21,8 @@ from ..tracing.span_data import GenerationSpanData from ..tracing.spans import Span from ..usage import Usage -from ..version import __version__ from .chatcmpl_converter import Converter +from .chatcmpl_helpers import HEADERS, ChatCmplHelpers from .chatcmpl_stream_handler import ChatCmplStreamHandler from .fake_id import FAKE_RESPONSES_ID from .interface import Model, ModelTracing @@ -31,10 +31,6 @@ from ..model_settings import ModelSettings -_USER_AGENT = f"Agents/Python {__version__}" -_HEADERS = {"User-Agent": _USER_AGENT} - - class OpenAIChatCompletionsModel(Model): def __init__( self, @@ -237,9 +233,9 @@ async def _fetch_response( ) reasoning_effort = model_settings.reasoning.effort if model_settings.reasoning else None - store = _Helpers.get_store_param(self._get_client(), model_settings) + store = ChatCmplHelpers.get_store_param(self._get_client(), model_settings) - stream_options = _Helpers.get_stream_options_param( + stream_options = ChatCmplHelpers.get_stream_options_param( self._get_client(), model_settings, stream=stream ) @@ -259,7 +255,7 @@ async def _fetch_response( stream_options=self._non_null_or_not_given(stream_options), store=self._non_null_or_not_given(store), reasoning_effort=self._non_null_or_not_given(reasoning_effort), - extra_headers=_HEADERS, + extra_headers=HEADERS, extra_query=model_settings.extra_query, extra_body=model_settings.extra_body, metadata=self._non_null_or_not_given(model_settings.metadata), @@ -289,31 +285,3 @@ def _get_client(self) -> AsyncOpenAI: if self._client is None: self._client = AsyncOpenAI() return self._client - - -class _Helpers: - @classmethod - def is_openai(cls, client: AsyncOpenAI): - return str(client.base_url).startswith("https://api.openai.com") - - @classmethod - def get_store_param(cls, client: AsyncOpenAI, model_settings: ModelSettings) -> bool | None: - # Match the behavior of Responses where store is True when not given - default_store = True if cls.is_openai(client) else None - return model_settings.store if model_settings.store is not None else default_store - - @classmethod - def get_stream_options_param( - cls, client: AsyncOpenAI, model_settings: ModelSettings, stream: bool - ) -> dict[str, bool] | None: - if not stream: - return None - - default_include_usage = True if cls.is_openai(client) else None - include_usage = ( - model_settings.include_usage - if model_settings.include_usage is not None - else default_include_usage - ) - stream_options = {"include_usage": include_usage} if include_usage is not None else None - return stream_options diff --git a/tests/test_function_schema.py b/tests/test_function_schema.py index ef1e9c222..5618d8ae9 100644 --- a/tests/test_function_schema.py +++ b/tests/test_function_schema.py @@ -99,7 +99,7 @@ def varargs_function(x: int, *numbers: float, flag: bool = False, **kwargs: Any) def test_varargs_function(): """Test a function that uses *args and **kwargs.""" - func_schema = function_schema(varargs_function) + func_schema = function_schema(varargs_function, strict_json_schema=False) # Check JSON schema structure assert isinstance(func_schema.params_json_schema, dict) assert func_schema.params_json_schema.get("title") == "varargs_function_args" diff --git a/tests/test_openai_chatcompletions.py b/tests/test_openai_chatcompletions.py index b0fc1f321..ba3ec68d0 100644 --- a/tests/test_openai_chatcompletions.py +++ b/tests/test_openai_chatcompletions.py @@ -30,8 +30,8 @@ OpenAIProvider, generation_span, ) +from agents.models.chatcmpl_helpers import ChatCmplHelpers from agents.models.fake_id import FAKE_RESPONSES_ID -from agents.models.openai_chatcompletions import _Helpers @pytest.mark.allow_call_model_methods @@ -301,32 +301,32 @@ def test_store_param(): model_settings = ModelSettings() client = AsyncOpenAI() - assert _Helpers.get_store_param(client, model_settings) is True, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is True, ( "Should default to True for OpenAI API calls" ) model_settings = ModelSettings(store=False) - assert _Helpers.get_store_param(client, model_settings) is False, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is False, ( "Should respect explicitly set store=False" ) model_settings = ModelSettings(store=True) - assert _Helpers.get_store_param(client, model_settings) is True, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is True, ( "Should respect explicitly set store=True" ) client = AsyncOpenAI(base_url="http://www.notopenai.com") model_settings = ModelSettings() - assert _Helpers.get_store_param(client, model_settings) is None, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is None, ( "Should default to None for non-OpenAI API calls" ) model_settings = ModelSettings(store=False) - assert _Helpers.get_store_param(client, model_settings) is False, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is False, ( "Should respect explicitly set store=False" ) model_settings = ModelSettings(store=True) - assert _Helpers.get_store_param(client, model_settings) is True, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is True, ( "Should respect explicitly set store=True" ) diff --git a/uv.lock b/uv.lock index d4b825461..24d089a50 100644 --- a/uv.lock +++ b/uv.lock @@ -6,6 +6,125 @@ resolution-markers = [ "python_full_version < '3.10'", ] +[[package]] +name = "aiohappyeyeballs" +version = "2.6.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/26/30/f84a107a9c4331c14b2b586036f40965c128aa4fee4dda5d3d51cb14ad54/aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558", size 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examples/model_providers/litellm_provider.py create mode 100644 src/agents/extensions/models/__init__.py create mode 100644 src/agents/extensions/models/litellm_model.py create mode 100644 src/agents/models/chatcmpl_helpers.py diff --git a/examples/model_providers/litellm_provider.py b/examples/model_providers/litellm_provider.py new file mode 100644 index 000000000..4a1a696fc --- /dev/null +++ b/examples/model_providers/litellm_provider.py @@ -0,0 +1,55 @@ +from __future__ import annotations + +import asyncio + +from agents import Agent, Runner, function_tool, set_tracing_disabled +from agents.extensions.models.litellm_model import LitellmModel + +"""This example uses the LitellmModel directly, to hit any model provider. +You can run it like this: +uv run examples/model_providers/litellm_provider.py --model anthropic/claude-3-5-sonnet-20240620 +or +uv run examples/model_providers/litellm_provider.py --model gemini/gemini-2.0-flash + +Find more providers here: https://docs.litellm.ai/docs/providers +""" + +set_tracing_disabled(disabled=True) + + +@function_tool +def get_weather(city: str): + print(f"[debug] getting weather for {city}") + return f"The weather in {city} is sunny." + + +async def main(model: str, api_key: str): + agent = Agent( + name="Assistant", + instructions="You only respond in haikus.", + model=LitellmModel(model=model, api_key=api_key), + tools=[get_weather], + ) + + result = await Runner.run(agent, "What's the weather in Tokyo?") + print(result.final_output) + + +if __name__ == "__main__": + # First try to get model/api key from args + import argparse + + parser = argparse.ArgumentParser() + parser.add_argument("--model", type=str, required=False) + parser.add_argument("--api-key", type=str, required=False) + args = parser.parse_args() + + model = args.model + if not model: + model = input("Enter a model name for Litellm: ") + + api_key = args.api_key + if not api_key: + api_key = input("Enter an API key for Litellm: ") + + asyncio.run(main(model, api_key)) diff --git a/pyproject.toml b/pyproject.toml index 1eefadd93..31c9fef14 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -36,6 +36,7 @@ Repository = "https://github.com/openai/openai-agents-python" [project.optional-dependencies] voice = ["numpy>=2.2.0, <3; python_version>='3.10'", "websockets>=15.0, <16"] viz = ["graphviz>=0.17"] +#litellm = ["litellm>=1.65.0, <2"] [dependency-groups] dev = [ @@ -44,7 +45,7 @@ dev = [ "pytest", "pytest-asyncio", "pytest-mock>=3.14.0", - "rich", + "rich>=13.1.0, <14", "mkdocs>=1.6.0", "mkdocs-material>=9.6.0", "mkdocstrings[python]>=0.28.0", diff --git a/src/agents/extensions/models/__init__.py b/src/agents/extensions/models/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/src/agents/extensions/models/litellm_model.py b/src/agents/extensions/models/litellm_model.py new file mode 100644 index 000000000..915a1ccbd --- /dev/null +++ b/src/agents/extensions/models/litellm_model.py @@ -0,0 +1,380 @@ +from __future__ import annotations + +import dataclasses +import json +import time +from collections.abc import AsyncIterator +from typing import Any, Literal, cast, overload + +import litellm.types + +from agents.exceptions import ModelBehaviorError + +try: + import litellm +except ImportError as _e: + raise ImportError( + "`litellm` is required to use the LitellmModel. You can install it via the optional " + "dependency group: `pip install 'openai-agents[litellm]'`." + ) from _e + +from openai import NOT_GIVEN, AsyncStream, NotGiven +from openai.types.chat import ChatCompletionChunk, ChatCompletionMessageToolCall +from openai.types.chat.chat_completion_message import ( + Annotation, + AnnotationURLCitation, + ChatCompletionMessage, +) +from openai.types.chat.chat_completion_message_tool_call import Function +from openai.types.responses import Response + +from ... import _debug +from ...agent_output import AgentOutputSchema +from ...handoffs import Handoff +from ...items import ModelResponse, TResponseInputItem, TResponseStreamEvent +from ...logger import logger +from ...model_settings import ModelSettings +from ...models.chatcmpl_converter import Converter +from ...models.chatcmpl_helpers import HEADERS +from ...models.chatcmpl_stream_handler import ChatCmplStreamHandler +from ...models.fake_id import FAKE_RESPONSES_ID +from ...models.interface import Model, ModelTracing +from ...tool import Tool +from ...tracing import generation_span +from ...tracing.span_data import GenerationSpanData +from ...tracing.spans import Span +from ...usage import Usage + + +class LitellmModel(Model): + def __init__( + self, + model: str, + base_url: str | None = None, + api_key: str | None = None, + ): + self.model = model + self.base_url = base_url + self.api_key = api_key + + async def get_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + tracing: ModelTracing, + previous_response_id: str | None, + ) -> ModelResponse: + with generation_span( + model=str(self.model), + model_config=dataclasses.asdict(model_settings) + | {"base_url": str(self.base_url or ""), "model_impl": "litellm"}, + disabled=tracing.is_disabled(), + ) as span_generation: + response = await self._fetch_response( + system_instructions, + input, + model_settings, + tools, + output_schema, + handoffs, + span_generation, + tracing, + stream=False, + ) + + assert isinstance(response.choices[0], litellm.types.utils.Choices) + + if _debug.DONT_LOG_MODEL_DATA: + logger.debug("Received model response") + else: + logger.debug( + f"LLM resp:\n{json.dumps(response.choices[0].message.model_dump(), indent=2)}\n" + ) + + if hasattr(response, "usage"): + response_usage = response.usage + usage = ( + Usage( + requests=1, + input_tokens=response_usage.prompt_tokens, + output_tokens=response_usage.completion_tokens, + total_tokens=response_usage.total_tokens, + ) + if response.usage + else Usage() + ) + else: + usage = Usage() + logger.warning("No usage information returned from Litellm") + + if tracing.include_data(): + span_generation.span_data.output = [response.choices[0].message.model_dump()] + span_generation.span_data.usage = { + "input_tokens": usage.input_tokens, + "output_tokens": usage.output_tokens, + } + + items = Converter.message_to_output_items( + LitellmConverter.convert_message_to_openai(response.choices[0].message) + ) + + return ModelResponse( + output=items, + usage=usage, + response_id=None, + ) + + async def stream_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + tracing: ModelTracing, + *, + previous_response_id: str | None, + ) -> AsyncIterator[TResponseStreamEvent]: + """ + Yields a partial message as it is generated, as well as the usage information. + """ + with generation_span( + model=str(self.model), + model_config=dataclasses.asdict(model_settings) + | {"base_url": str(self.base_url or ""), "model_impl": "litellm"}, + disabled=tracing.is_disabled(), + ) as span_generation: + response, stream = await self._fetch_response( + system_instructions, + input, + model_settings, + tools, + output_schema, + handoffs, + span_generation, + tracing, + stream=True, + ) + + final_response: Response | None = None + async for chunk in ChatCmplStreamHandler.handle_stream(response, stream): + yield chunk + + if chunk.type == "response.completed": + final_response = chunk.response + + if tracing.include_data() and final_response: + span_generation.span_data.output = [final_response.model_dump()] + + if final_response and final_response.usage: + span_generation.span_data.usage = { + "input_tokens": final_response.usage.input_tokens, + "output_tokens": final_response.usage.output_tokens, + } + + @overload + async def _fetch_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + span: Span[GenerationSpanData], + tracing: ModelTracing, + stream: Literal[True], + ) -> tuple[Response, AsyncStream[ChatCompletionChunk]]: ... + + @overload + async def _fetch_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + span: Span[GenerationSpanData], + tracing: ModelTracing, + stream: Literal[False], + ) -> litellm.types.utils.ModelResponse: ... + + async def _fetch_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + span: Span[GenerationSpanData], + tracing: ModelTracing, + stream: bool = False, + ) -> litellm.types.utils.ModelResponse | tuple[Response, AsyncStream[ChatCompletionChunk]]: + converted_messages = Converter.items_to_messages(input) + + if system_instructions: + converted_messages.insert( + 0, + { + "content": system_instructions, + "role": "system", + }, + ) + if tracing.include_data(): + span.span_data.input = converted_messages + + parallel_tool_calls = ( + True + if model_settings.parallel_tool_calls and tools and len(tools) > 0 + else False + if model_settings.parallel_tool_calls is False + else None + ) + tool_choice = Converter.convert_tool_choice(model_settings.tool_choice) + response_format = Converter.convert_response_format(output_schema) + + converted_tools = [Converter.tool_to_openai(tool) for tool in tools] if tools else [] + + for handoff in handoffs: + converted_tools.append(Converter.convert_handoff_tool(handoff)) + + if _debug.DONT_LOG_MODEL_DATA: + logger.debug("Calling LLM") + else: + logger.debug( + f"Calling Litellm model: {self.model}\n" + f"{json.dumps(converted_messages, indent=2)}\n" + f"Tools:\n{json.dumps(converted_tools, indent=2)}\n" + f"Stream: {stream}\n" + f"Tool choice: {tool_choice}\n" + f"Response format: {response_format}\n" + ) + + reasoning_effort = model_settings.reasoning.effort if model_settings.reasoning else None + + stream_options = None + if stream and model_settings.include_usage is not None: + stream_options = {"include_usage": model_settings.include_usage} + + extra_kwargs = {} + if model_settings.extra_query: + extra_kwargs["extra_query"] = model_settings.extra_query + if model_settings.metadata: + extra_kwargs["metadata"] = model_settings.metadata + + ret = await litellm.acompletion( + model=self.model, + messages=converted_messages, + tools=converted_tools or None, + temperature=model_settings.temperature, + top_p=model_settings.top_p, + frequency_penalty=model_settings.frequency_penalty, + presence_penalty=model_settings.presence_penalty, + max_tokens=model_settings.max_tokens, + tool_choice=self._remove_not_given(tool_choice), + response_format=self._remove_not_given(response_format), + parallel_tool_calls=parallel_tool_calls, + stream=stream, + stream_options=stream_options, + reasoning_effort=reasoning_effort, + extra_headers=HEADERS, + api_key=self.api_key, + base_url=self.base_url, + **extra_kwargs, + ) + + if isinstance(ret, litellm.types.utils.ModelResponse): + return ret + + response = Response( + id=FAKE_RESPONSES_ID, + created_at=time.time(), + model=self.model, + object="response", + output=[], + tool_choice=cast(Literal["auto", "required", "none"], tool_choice) + if tool_choice != NOT_GIVEN + else "auto", + top_p=model_settings.top_p, + temperature=model_settings.temperature, + tools=[], + parallel_tool_calls=parallel_tool_calls or False, + reasoning=model_settings.reasoning, + ) + return response, ret + + def _remove_not_given(self, value: Any) -> Any: + if isinstance(value, NotGiven): + return None + return value + + +class LitellmConverter: + @classmethod + def convert_message_to_openai( + cls, message: litellm.types.utils.Message + ) -> ChatCompletionMessage: + if message.role != "assistant": + raise ModelBehaviorError(f"Unsupported role: {message.role}") + + tool_calls = ( + [LitellmConverter.convert_tool_call_to_openai(tool) for tool in message.tool_calls] + if message.tool_calls + else None + ) + + provider_specific_fields = message.get("provider_specific_fields", None) + refusal = ( + provider_specific_fields.get("refusal", None) if provider_specific_fields else None + ) + + return ChatCompletionMessage( + content=message.content, + refusal=refusal, + role="assistant", + annotations=cls.convert_annotations_to_openai(message), + audio=message.get("audio", None), # litellm deletes audio if not present + tool_calls=tool_calls, + ) + + @classmethod + def convert_annotations_to_openai( + cls, message: litellm.types.utils.Message + ) -> list[Annotation] | None: + annotations: list[litellm.types.llms.openai.ChatCompletionAnnotation] | None = message.get( + "annotations", None + ) + if not annotations: + return None + + return [ + Annotation( + type="url_citation", + url_citation=AnnotationURLCitation( + start_index=annotation["url_citation"]["start_index"], + end_index=annotation["url_citation"]["end_index"], + url=annotation["url_citation"]["url"], + title=annotation["url_citation"]["title"], + ), + ) + for annotation in annotations + ] + + @classmethod + def convert_tool_call_to_openai( + cls, tool_call: litellm.types.utils.ChatCompletionMessageToolCall + ) -> ChatCompletionMessageToolCall: + return ChatCompletionMessageToolCall( + id=tool_call.id, + type="function", + function=Function( + name=tool_call.function.name or "", arguments=tool_call.function.arguments + ), + ) diff --git a/src/agents/models/chatcmpl_helpers.py b/src/agents/models/chatcmpl_helpers.py new file mode 100644 index 000000000..0cee21ecc --- /dev/null +++ b/src/agents/models/chatcmpl_helpers.py @@ -0,0 +1,37 @@ +from __future__ import annotations + +from openai import AsyncOpenAI + +from ..model_settings import ModelSettings +from ..version import __version__ + +_USER_AGENT = f"Agents/Python {__version__}" +HEADERS = {"User-Agent": _USER_AGENT} + + +class ChatCmplHelpers: + @classmethod + def is_openai(cls, client: AsyncOpenAI): + return str(client.base_url).startswith("https://api.openai.com") + + @classmethod + def get_store_param(cls, client: AsyncOpenAI, model_settings: ModelSettings) -> bool | None: + # Match the behavior of Responses where store is True when not given + default_store = True if cls.is_openai(client) else None + return model_settings.store if model_settings.store is not None else default_store + + @classmethod + def get_stream_options_param( + cls, client: AsyncOpenAI, model_settings: ModelSettings, stream: bool + ) -> dict[str, bool] | None: + if not stream: + return None + + default_include_usage = True if cls.is_openai(client) else None + include_usage = ( + model_settings.include_usage + if model_settings.include_usage is not None + else default_include_usage + ) + stream_options = {"include_usage": include_usage} if include_usage is not None else None + return stream_options diff --git a/src/agents/models/openai_chatcompletions.py b/src/agents/models/openai_chatcompletions.py index c399168de..9989c1ee0 100644 --- a/src/agents/models/openai_chatcompletions.py +++ b/src/agents/models/openai_chatcompletions.py @@ -21,8 +21,8 @@ from ..tracing.span_data import GenerationSpanData from ..tracing.spans import Span from ..usage import Usage -from ..version import __version__ from .chatcmpl_converter import Converter +from .chatcmpl_helpers import HEADERS, ChatCmplHelpers from .chatcmpl_stream_handler import ChatCmplStreamHandler from .fake_id import FAKE_RESPONSES_ID from .interface import Model, ModelTracing @@ -31,10 +31,6 @@ from ..model_settings import ModelSettings -_USER_AGENT = f"Agents/Python {__version__}" -_HEADERS = {"User-Agent": _USER_AGENT} - - class OpenAIChatCompletionsModel(Model): def __init__( self, @@ -237,9 +233,9 @@ async def _fetch_response( ) reasoning_effort = model_settings.reasoning.effort if model_settings.reasoning else None - store = _Helpers.get_store_param(self._get_client(), model_settings) + store = ChatCmplHelpers.get_store_param(self._get_client(), model_settings) - stream_options = _Helpers.get_stream_options_param( + stream_options = ChatCmplHelpers.get_stream_options_param( self._get_client(), model_settings, stream=stream ) @@ -259,7 +255,7 @@ async def _fetch_response( stream_options=self._non_null_or_not_given(stream_options), store=self._non_null_or_not_given(store), reasoning_effort=self._non_null_or_not_given(reasoning_effort), - extra_headers=_HEADERS, + extra_headers=HEADERS, extra_query=model_settings.extra_query, extra_body=model_settings.extra_body, metadata=self._non_null_or_not_given(model_settings.metadata), @@ -289,31 +285,3 @@ def _get_client(self) -> AsyncOpenAI: if self._client is None: self._client = AsyncOpenAI() return self._client - - -class _Helpers: - @classmethod - def is_openai(cls, client: AsyncOpenAI): - return str(client.base_url).startswith("https://api.openai.com") - - @classmethod - def get_store_param(cls, client: AsyncOpenAI, model_settings: ModelSettings) -> bool | None: - # Match the behavior of Responses where store is True when not given - default_store = True if cls.is_openai(client) else None - return model_settings.store if model_settings.store is not None else default_store - - @classmethod - def get_stream_options_param( - cls, client: AsyncOpenAI, model_settings: ModelSettings, stream: bool - ) -> dict[str, bool] | None: - if not stream: - return None - - default_include_usage = True if cls.is_openai(client) else None - include_usage = ( - model_settings.include_usage - if model_settings.include_usage is not None - else default_include_usage - ) - stream_options = {"include_usage": include_usage} if include_usage is not None else None - return stream_options diff --git a/tests/test_function_schema.py b/tests/test_function_schema.py index ef1e9c222..5618d8ae9 100644 --- a/tests/test_function_schema.py +++ b/tests/test_function_schema.py @@ -99,7 +99,7 @@ def varargs_function(x: int, *numbers: float, flag: bool = False, **kwargs: Any) def test_varargs_function(): """Test a function that uses *args and **kwargs.""" - func_schema = function_schema(varargs_function) + func_schema = function_schema(varargs_function, strict_json_schema=False) # Check JSON schema structure assert isinstance(func_schema.params_json_schema, dict) assert func_schema.params_json_schema.get("title") == "varargs_function_args" diff --git a/tests/test_openai_chatcompletions.py b/tests/test_openai_chatcompletions.py index b0fc1f321..ba3ec68d0 100644 --- a/tests/test_openai_chatcompletions.py +++ b/tests/test_openai_chatcompletions.py @@ -30,8 +30,8 @@ OpenAIProvider, generation_span, ) +from agents.models.chatcmpl_helpers import ChatCmplHelpers from agents.models.fake_id import FAKE_RESPONSES_ID -from agents.models.openai_chatcompletions import _Helpers @pytest.mark.allow_call_model_methods @@ -301,32 +301,32 @@ def test_store_param(): model_settings = ModelSettings() client = AsyncOpenAI() - assert _Helpers.get_store_param(client, model_settings) is True, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is True, ( "Should default to True for OpenAI API calls" ) model_settings = ModelSettings(store=False) - assert _Helpers.get_store_param(client, model_settings) is False, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is False, ( "Should respect explicitly set store=False" ) model_settings = ModelSettings(store=True) - assert _Helpers.get_store_param(client, model_settings) is True, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is True, ( "Should respect explicitly set store=True" ) client = AsyncOpenAI(base_url="http://www.notopenai.com") model_settings = ModelSettings() - assert _Helpers.get_store_param(client, model_settings) is None, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is None, ( "Should default to None for non-OpenAI API calls" ) model_settings = ModelSettings(store=False) - assert _Helpers.get_store_param(client, model_settings) is False, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is False, ( "Should respect explicitly set store=False" ) model_settings = ModelSettings(store=True) - assert _Helpers.get_store_param(client, model_settings) is True, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is True, ( "Should respect explicitly set store=True" ) diff --git a/tests/voice/conftest.py b/tests/voice/conftest.py index 7eeb9cec0..6ed7422ce 100644 --- a/tests/voice/conftest.py +++ b/tests/voice/conftest.py @@ -1,14 +1,12 @@ import os import sys -import pytest - -def pytest_collection_modifyitems(config, items): +# Skip voice tests on Python 3.9 +def pytest_ignore_collect(collection_path, config): if sys.version_info[:2] == (3, 9): this_dir = os.path.dirname(__file__) - skip_marker = pytest.mark.skip(reason="Skipped on Python 3.9") - for item in items: - if 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[PATCH 074/337] Litellm integration --- examples/model_providers/litellm_provider.py | 55 + pyproject.toml | 3 +- src/agents/extensions/models/__init__.py | 0 src/agents/extensions/models/litellm_model.py | 380 ++++ src/agents/models/chatcmpl_helpers.py | 37 + src/agents/models/openai_chatcompletions.py | 40 +- tests/test_function_schema.py | 2 +- tests/test_openai_chatcompletions.py | 14 +- tests/voice/conftest.py | 12 +- uv.lock | 1539 +++++++++++++---- 10 files changed, 1701 insertions(+), 381 deletions(-) create mode 100644 examples/model_providers/litellm_provider.py create mode 100644 src/agents/extensions/models/__init__.py create mode 100644 src/agents/extensions/models/litellm_model.py create mode 100644 src/agents/models/chatcmpl_helpers.py diff --git a/examples/model_providers/litellm_provider.py b/examples/model_providers/litellm_provider.py new file mode 100644 index 000000000..4a1a696fc --- /dev/null +++ b/examples/model_providers/litellm_provider.py @@ -0,0 +1,55 @@ +from __future__ import annotations + +import asyncio + +from agents import Agent, Runner, function_tool, set_tracing_disabled +from agents.extensions.models.litellm_model import LitellmModel + +"""This example uses the LitellmModel directly, to hit any model provider. +You can run it like this: +uv run examples/model_providers/litellm_provider.py --model anthropic/claude-3-5-sonnet-20240620 +or +uv run examples/model_providers/litellm_provider.py --model gemini/gemini-2.0-flash + +Find more providers here: https://docs.litellm.ai/docs/providers +""" + +set_tracing_disabled(disabled=True) + + +@function_tool +def get_weather(city: str): + print(f"[debug] getting weather for {city}") + return f"The weather in {city} is sunny." + + +async def main(model: str, api_key: str): + agent = Agent( + name="Assistant", + instructions="You only respond in haikus.", + model=LitellmModel(model=model, api_key=api_key), + tools=[get_weather], + ) + + result = await Runner.run(agent, "What's the weather in Tokyo?") + print(result.final_output) + + +if __name__ == "__main__": + # First try to get model/api key from args + import argparse + + parser = argparse.ArgumentParser() + parser.add_argument("--model", type=str, required=False) + parser.add_argument("--api-key", type=str, required=False) + args = parser.parse_args() + + model = args.model + if not model: + model = input("Enter a model name for Litellm: ") + + api_key = args.api_key + if not api_key: + api_key = input("Enter an API key for Litellm: ") + + asyncio.run(main(model, api_key)) diff --git a/pyproject.toml b/pyproject.toml index 1eefadd93..f94eb8593 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -36,6 +36,7 @@ Repository = "https://github.com/openai/openai-agents-python" [project.optional-dependencies] voice = ["numpy>=2.2.0, <3; python_version>='3.10'", "websockets>=15.0, <16"] viz = ["graphviz>=0.17"] +litellm = ["litellm>=1.65.0, <2"] [dependency-groups] dev = [ @@ -44,7 +45,7 @@ dev = [ "pytest", "pytest-asyncio", "pytest-mock>=3.14.0", - "rich", + "rich>=13.1.0, <14", "mkdocs>=1.6.0", "mkdocs-material>=9.6.0", "mkdocstrings[python]>=0.28.0", diff --git a/src/agents/extensions/models/__init__.py b/src/agents/extensions/models/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/src/agents/extensions/models/litellm_model.py b/src/agents/extensions/models/litellm_model.py new file mode 100644 index 000000000..915a1ccbd --- /dev/null +++ b/src/agents/extensions/models/litellm_model.py @@ -0,0 +1,380 @@ +from __future__ import annotations + +import dataclasses +import json +import time +from collections.abc import AsyncIterator +from typing import Any, Literal, cast, overload + +import litellm.types + +from agents.exceptions import ModelBehaviorError + +try: + import litellm +except ImportError as _e: + raise ImportError( + "`litellm` is required to use the LitellmModel. You can install it via the optional " + "dependency group: `pip install 'openai-agents[litellm]'`." + ) from _e + +from openai import NOT_GIVEN, AsyncStream, NotGiven +from openai.types.chat import ChatCompletionChunk, ChatCompletionMessageToolCall +from openai.types.chat.chat_completion_message import ( + Annotation, + AnnotationURLCitation, + ChatCompletionMessage, +) +from openai.types.chat.chat_completion_message_tool_call import Function +from openai.types.responses import Response + +from ... import _debug +from ...agent_output import AgentOutputSchema +from ...handoffs import Handoff +from ...items import ModelResponse, TResponseInputItem, TResponseStreamEvent +from ...logger import logger +from ...model_settings import ModelSettings +from ...models.chatcmpl_converter import Converter +from ...models.chatcmpl_helpers import HEADERS +from ...models.chatcmpl_stream_handler import ChatCmplStreamHandler +from ...models.fake_id import FAKE_RESPONSES_ID +from ...models.interface import Model, ModelTracing +from ...tool import Tool +from ...tracing import generation_span +from ...tracing.span_data import GenerationSpanData +from ...tracing.spans import Span +from ...usage import Usage + + +class LitellmModel(Model): + def __init__( + self, + model: str, + base_url: str | None = None, + api_key: str | None = None, + ): + self.model = model + self.base_url = base_url + self.api_key = api_key + + async def get_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + tracing: ModelTracing, + previous_response_id: str | None, + ) -> ModelResponse: + with generation_span( + model=str(self.model), + model_config=dataclasses.asdict(model_settings) + | {"base_url": str(self.base_url or ""), "model_impl": "litellm"}, + disabled=tracing.is_disabled(), + ) as span_generation: + response = await self._fetch_response( + system_instructions, + input, + model_settings, + tools, + output_schema, + handoffs, + span_generation, + tracing, + stream=False, + ) + + assert isinstance(response.choices[0], litellm.types.utils.Choices) + + if _debug.DONT_LOG_MODEL_DATA: + logger.debug("Received model response") + else: + logger.debug( + f"LLM resp:\n{json.dumps(response.choices[0].message.model_dump(), indent=2)}\n" + ) + + if hasattr(response, "usage"): + response_usage = response.usage + usage = ( + Usage( + requests=1, + input_tokens=response_usage.prompt_tokens, + output_tokens=response_usage.completion_tokens, + total_tokens=response_usage.total_tokens, + ) + if response.usage + else Usage() + ) + else: + usage = Usage() + logger.warning("No usage information returned from Litellm") + + if tracing.include_data(): + span_generation.span_data.output = [response.choices[0].message.model_dump()] + span_generation.span_data.usage = { + "input_tokens": usage.input_tokens, + "output_tokens": usage.output_tokens, + } + + items = Converter.message_to_output_items( + LitellmConverter.convert_message_to_openai(response.choices[0].message) + ) + + return ModelResponse( + output=items, + usage=usage, + response_id=None, + ) + + async def stream_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + tracing: ModelTracing, + *, + previous_response_id: str | None, + ) -> AsyncIterator[TResponseStreamEvent]: + """ + Yields a partial message as it is generated, as well as the usage information. + """ + with generation_span( + model=str(self.model), + model_config=dataclasses.asdict(model_settings) + | {"base_url": str(self.base_url or ""), "model_impl": "litellm"}, + disabled=tracing.is_disabled(), + ) as span_generation: + response, stream = await self._fetch_response( + system_instructions, + input, + model_settings, + tools, + output_schema, + handoffs, + span_generation, + tracing, + stream=True, + ) + + final_response: Response | None = None + async for chunk in ChatCmplStreamHandler.handle_stream(response, stream): + yield chunk + + if chunk.type == "response.completed": + final_response = chunk.response + + if tracing.include_data() and final_response: + span_generation.span_data.output = [final_response.model_dump()] + + if final_response and final_response.usage: + span_generation.span_data.usage = { + "input_tokens": final_response.usage.input_tokens, + "output_tokens": final_response.usage.output_tokens, + } + + @overload + async def _fetch_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + span: Span[GenerationSpanData], + tracing: ModelTracing, + stream: Literal[True], + ) -> tuple[Response, AsyncStream[ChatCompletionChunk]]: ... + + @overload + async def _fetch_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + span: Span[GenerationSpanData], + tracing: ModelTracing, + stream: Literal[False], + ) -> litellm.types.utils.ModelResponse: ... + + async def _fetch_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + span: Span[GenerationSpanData], + tracing: ModelTracing, + stream: bool = False, + ) -> litellm.types.utils.ModelResponse | tuple[Response, AsyncStream[ChatCompletionChunk]]: + converted_messages = Converter.items_to_messages(input) + + if system_instructions: + converted_messages.insert( + 0, + { + "content": system_instructions, + "role": "system", + }, + ) + if tracing.include_data(): + span.span_data.input = converted_messages + + parallel_tool_calls = ( + True + if model_settings.parallel_tool_calls and tools and len(tools) > 0 + else False + if model_settings.parallel_tool_calls is False + else None + ) + tool_choice = Converter.convert_tool_choice(model_settings.tool_choice) + response_format = Converter.convert_response_format(output_schema) + + converted_tools = [Converter.tool_to_openai(tool) for tool in tools] if tools else [] + + for handoff in handoffs: + converted_tools.append(Converter.convert_handoff_tool(handoff)) + + if _debug.DONT_LOG_MODEL_DATA: + logger.debug("Calling LLM") + else: + logger.debug( + f"Calling Litellm model: {self.model}\n" + f"{json.dumps(converted_messages, indent=2)}\n" + f"Tools:\n{json.dumps(converted_tools, indent=2)}\n" + f"Stream: {stream}\n" + f"Tool choice: {tool_choice}\n" + f"Response format: {response_format}\n" + ) + + reasoning_effort = model_settings.reasoning.effort if model_settings.reasoning else None + + stream_options = None + if stream and model_settings.include_usage is not None: + stream_options = {"include_usage": model_settings.include_usage} + + extra_kwargs = {} + if model_settings.extra_query: + extra_kwargs["extra_query"] = model_settings.extra_query + if model_settings.metadata: + extra_kwargs["metadata"] = model_settings.metadata + + ret = await litellm.acompletion( + model=self.model, + messages=converted_messages, + tools=converted_tools or None, + temperature=model_settings.temperature, + top_p=model_settings.top_p, + frequency_penalty=model_settings.frequency_penalty, + presence_penalty=model_settings.presence_penalty, + max_tokens=model_settings.max_tokens, + tool_choice=self._remove_not_given(tool_choice), + response_format=self._remove_not_given(response_format), + parallel_tool_calls=parallel_tool_calls, + stream=stream, + stream_options=stream_options, + reasoning_effort=reasoning_effort, + extra_headers=HEADERS, + api_key=self.api_key, + base_url=self.base_url, + **extra_kwargs, + ) + + if isinstance(ret, litellm.types.utils.ModelResponse): + return ret + + response = Response( + id=FAKE_RESPONSES_ID, + created_at=time.time(), + model=self.model, + object="response", + output=[], + tool_choice=cast(Literal["auto", "required", "none"], tool_choice) + if tool_choice != NOT_GIVEN + else "auto", + top_p=model_settings.top_p, + temperature=model_settings.temperature, + tools=[], + parallel_tool_calls=parallel_tool_calls or False, + reasoning=model_settings.reasoning, + ) + return response, ret + + def _remove_not_given(self, value: Any) -> Any: + if isinstance(value, NotGiven): + return None + return value + + +class LitellmConverter: + @classmethod + def convert_message_to_openai( + cls, message: litellm.types.utils.Message + ) -> ChatCompletionMessage: + if message.role != "assistant": + raise ModelBehaviorError(f"Unsupported role: {message.role}") + + tool_calls = ( + [LitellmConverter.convert_tool_call_to_openai(tool) for tool in message.tool_calls] + if message.tool_calls + else None + ) + + provider_specific_fields = message.get("provider_specific_fields", None) + refusal = ( + provider_specific_fields.get("refusal", None) if provider_specific_fields else None + ) + + return ChatCompletionMessage( + content=message.content, + refusal=refusal, + role="assistant", + annotations=cls.convert_annotations_to_openai(message), + audio=message.get("audio", None), # litellm deletes audio if not present + tool_calls=tool_calls, + ) + + @classmethod + def convert_annotations_to_openai( + cls, message: litellm.types.utils.Message + ) -> list[Annotation] | None: + annotations: list[litellm.types.llms.openai.ChatCompletionAnnotation] | None = message.get( + "annotations", None + ) + if not annotations: + return None + + return [ + Annotation( + type="url_citation", + url_citation=AnnotationURLCitation( + start_index=annotation["url_citation"]["start_index"], + end_index=annotation["url_citation"]["end_index"], + url=annotation["url_citation"]["url"], + title=annotation["url_citation"]["title"], + ), + ) + for annotation in annotations + ] + + @classmethod + def convert_tool_call_to_openai( + cls, tool_call: litellm.types.utils.ChatCompletionMessageToolCall + ) -> ChatCompletionMessageToolCall: + return ChatCompletionMessageToolCall( + id=tool_call.id, + type="function", + function=Function( + name=tool_call.function.name or "", arguments=tool_call.function.arguments + ), + ) diff --git a/src/agents/models/chatcmpl_helpers.py b/src/agents/models/chatcmpl_helpers.py new file mode 100644 index 000000000..0cee21ecc --- /dev/null +++ b/src/agents/models/chatcmpl_helpers.py @@ -0,0 +1,37 @@ +from __future__ import annotations + +from openai import AsyncOpenAI + +from ..model_settings import ModelSettings +from ..version import __version__ + +_USER_AGENT = f"Agents/Python {__version__}" +HEADERS = {"User-Agent": _USER_AGENT} + + +class ChatCmplHelpers: + @classmethod + def is_openai(cls, client: AsyncOpenAI): + return str(client.base_url).startswith("https://api.openai.com") + + @classmethod + def get_store_param(cls, client: AsyncOpenAI, model_settings: ModelSettings) -> bool | None: + # Match the behavior of Responses where store is True when not given + default_store = True if cls.is_openai(client) else None + return model_settings.store if model_settings.store is not None else default_store + + @classmethod + def get_stream_options_param( + cls, client: AsyncOpenAI, model_settings: ModelSettings, stream: bool + ) -> dict[str, bool] | None: + if not stream: + return None + + default_include_usage = True if cls.is_openai(client) else None + include_usage = ( + model_settings.include_usage + if model_settings.include_usage is not None + else default_include_usage + ) + stream_options = {"include_usage": include_usage} if include_usage is not None else None + return stream_options diff --git a/src/agents/models/openai_chatcompletions.py b/src/agents/models/openai_chatcompletions.py index c399168de..9989c1ee0 100644 --- a/src/agents/models/openai_chatcompletions.py +++ b/src/agents/models/openai_chatcompletions.py @@ -21,8 +21,8 @@ from ..tracing.span_data import GenerationSpanData from ..tracing.spans import Span from ..usage import Usage -from ..version import __version__ from .chatcmpl_converter import Converter +from .chatcmpl_helpers import HEADERS, ChatCmplHelpers from .chatcmpl_stream_handler import ChatCmplStreamHandler from .fake_id import FAKE_RESPONSES_ID from .interface import Model, ModelTracing @@ -31,10 +31,6 @@ from ..model_settings import ModelSettings -_USER_AGENT = f"Agents/Python {__version__}" -_HEADERS = {"User-Agent": _USER_AGENT} - - class OpenAIChatCompletionsModel(Model): def __init__( self, @@ -237,9 +233,9 @@ async def _fetch_response( ) reasoning_effort = model_settings.reasoning.effort if model_settings.reasoning else None - store = _Helpers.get_store_param(self._get_client(), model_settings) + store = ChatCmplHelpers.get_store_param(self._get_client(), model_settings) - stream_options = _Helpers.get_stream_options_param( + stream_options = ChatCmplHelpers.get_stream_options_param( self._get_client(), model_settings, stream=stream ) @@ -259,7 +255,7 @@ async def _fetch_response( stream_options=self._non_null_or_not_given(stream_options), store=self._non_null_or_not_given(store), reasoning_effort=self._non_null_or_not_given(reasoning_effort), - extra_headers=_HEADERS, + extra_headers=HEADERS, extra_query=model_settings.extra_query, extra_body=model_settings.extra_body, metadata=self._non_null_or_not_given(model_settings.metadata), @@ -289,31 +285,3 @@ def _get_client(self) -> AsyncOpenAI: if self._client is None: self._client = AsyncOpenAI() return self._client - - -class _Helpers: - @classmethod - def is_openai(cls, client: AsyncOpenAI): - return str(client.base_url).startswith("https://api.openai.com") - - @classmethod - def get_store_param(cls, client: AsyncOpenAI, model_settings: ModelSettings) -> bool | None: - # Match the behavior of Responses where store is True when not given - default_store = True if cls.is_openai(client) else None - return model_settings.store if model_settings.store is not None else default_store - - @classmethod - def get_stream_options_param( - cls, client: AsyncOpenAI, model_settings: ModelSettings, stream: bool - ) -> dict[str, bool] | None: - if not stream: - return None - - default_include_usage = True if cls.is_openai(client) else None - include_usage = ( - model_settings.include_usage - if model_settings.include_usage is not None - else default_include_usage - ) - stream_options = {"include_usage": include_usage} if include_usage is not None else None - return stream_options diff --git a/tests/test_function_schema.py b/tests/test_function_schema.py index ef1e9c222..5618d8ae9 100644 --- a/tests/test_function_schema.py +++ b/tests/test_function_schema.py @@ -99,7 +99,7 @@ def varargs_function(x: int, *numbers: float, flag: bool = False, **kwargs: Any) def test_varargs_function(): """Test a function that uses *args and **kwargs.""" - func_schema = function_schema(varargs_function) + func_schema = function_schema(varargs_function, strict_json_schema=False) # Check JSON schema structure assert isinstance(func_schema.params_json_schema, dict) assert func_schema.params_json_schema.get("title") == "varargs_function_args" diff --git a/tests/test_openai_chatcompletions.py b/tests/test_openai_chatcompletions.py index b0fc1f321..ba3ec68d0 100644 --- a/tests/test_openai_chatcompletions.py +++ b/tests/test_openai_chatcompletions.py @@ -30,8 +30,8 @@ OpenAIProvider, generation_span, ) +from agents.models.chatcmpl_helpers import ChatCmplHelpers from agents.models.fake_id import FAKE_RESPONSES_ID -from agents.models.openai_chatcompletions import _Helpers @pytest.mark.allow_call_model_methods @@ -301,32 +301,32 @@ def test_store_param(): model_settings = ModelSettings() client = AsyncOpenAI() - assert _Helpers.get_store_param(client, model_settings) is True, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is True, ( "Should default to True for OpenAI API calls" ) model_settings = ModelSettings(store=False) - assert _Helpers.get_store_param(client, model_settings) is False, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is False, ( "Should respect explicitly set store=False" ) model_settings = ModelSettings(store=True) - assert _Helpers.get_store_param(client, model_settings) is True, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is True, ( "Should respect explicitly set store=True" ) client = AsyncOpenAI(base_url="http://www.notopenai.com") model_settings = ModelSettings() - assert _Helpers.get_store_param(client, model_settings) is None, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is None, ( "Should default to None for non-OpenAI API calls" ) model_settings = ModelSettings(store=False) - assert _Helpers.get_store_param(client, model_settings) is False, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is False, ( "Should respect explicitly set store=False" ) model_settings = ModelSettings(store=True) - assert _Helpers.get_store_param(client, model_settings) is True, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is True, ( "Should respect explicitly set store=True" ) diff --git a/tests/voice/conftest.py b/tests/voice/conftest.py index 7eeb9cec0..6ed7422ce 100644 --- a/tests/voice/conftest.py +++ b/tests/voice/conftest.py @@ -1,14 +1,12 @@ import os import sys -import pytest - -def pytest_collection_modifyitems(config, items): +# Skip voice tests on Python 3.9 +def pytest_ignore_collect(collection_path, config): if sys.version_info[:2] == (3, 9): this_dir = os.path.dirname(__file__) - skip_marker = pytest.mark.skip(reason="Skipped on Python 3.9") - for item in items: - if 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"https://files.pythonhosted.org/packages/a4/06/ae25a353e8f032322df6f30d6bb1fc329773ee48e1a80a2196ccb8d1206b/yarl-1.19.0-py3-none-any.whl", hash = "sha256:a727101eb27f66727576630d02985d8a065d09cd0b5fcbe38a5793f71b2a97ef", size = 45990 }, +] + [[package]] name = "zipp" version = "3.21.0" From 321b4734479e433b95cac9f96b2895ea0b7a67ed Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 15 Apr 2025 22:26:11 -0400 Subject: [PATCH 075/337] Show repo name/data in docs --- mkdocs.yml | 3 +++ 1 file changed, 3 insertions(+) diff --git a/mkdocs.yml b/mkdocs.yml index 51d65e697..e7f439931 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -19,6 +19,9 @@ theme: logo: assets/logo.svg favicon: images/favicon-platform.svg +repo_name: openai-agents-python +repo_url: https://github.com/openai/openai-agents-python + plugins: - search - mkdocstrings: From feeab7904a3683f1473daec3b13aa8fe8f56df20 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 16 Apr 2025 14:54:34 -0400 Subject: [PATCH 076/337] Litellm integration --- examples/model_providers/litellm_provider.py | 55 + pyproject.toml | 3 +- src/agents/extensions/models/__init__.py | 0 src/agents/extensions/models/litellm_model.py | 380 ++++ src/agents/models/chatcmpl_helpers.py | 37 + src/agents/models/openai_chatcompletions.py | 40 +- tests/test_function_schema.py | 2 +- tests/test_openai_chatcompletions.py | 14 +- tests/voice/conftest.py | 12 +- uv.lock | 1539 +++++++++++++---- 10 files changed, 1701 insertions(+), 381 deletions(-) create mode 100644 examples/model_providers/litellm_provider.py create mode 100644 src/agents/extensions/models/__init__.py create mode 100644 src/agents/extensions/models/litellm_model.py create mode 100644 src/agents/models/chatcmpl_helpers.py diff --git a/examples/model_providers/litellm_provider.py b/examples/model_providers/litellm_provider.py new file mode 100644 index 000000000..4a1a696fc --- /dev/null +++ b/examples/model_providers/litellm_provider.py @@ -0,0 +1,55 @@ +from __future__ import annotations + +import asyncio + +from agents import Agent, Runner, function_tool, set_tracing_disabled +from agents.extensions.models.litellm_model import LitellmModel + +"""This example uses the LitellmModel directly, to hit any model provider. +You can run it like this: +uv run examples/model_providers/litellm_provider.py --model anthropic/claude-3-5-sonnet-20240620 +or +uv run examples/model_providers/litellm_provider.py --model gemini/gemini-2.0-flash + +Find more providers here: https://docs.litellm.ai/docs/providers +""" + +set_tracing_disabled(disabled=True) + + +@function_tool +def get_weather(city: str): + print(f"[debug] getting weather for {city}") + return f"The weather in {city} is sunny." + + +async def main(model: str, api_key: str): + agent = Agent( + name="Assistant", + instructions="You only respond in haikus.", + model=LitellmModel(model=model, api_key=api_key), + tools=[get_weather], + ) + + result = await Runner.run(agent, "What's the weather in Tokyo?") + print(result.final_output) + + +if __name__ == "__main__": + # First try to get model/api key from args + import argparse + + parser = argparse.ArgumentParser() + parser.add_argument("--model", type=str, required=False) + parser.add_argument("--api-key", type=str, required=False) + args = parser.parse_args() + + model = args.model + if not model: + model = input("Enter a model name for Litellm: ") + + api_key = args.api_key + if not api_key: + api_key = input("Enter an API key for Litellm: ") + + asyncio.run(main(model, api_key)) diff --git a/pyproject.toml b/pyproject.toml index 1eefadd93..f94eb8593 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -36,6 +36,7 @@ Repository = "https://github.com/openai/openai-agents-python" [project.optional-dependencies] voice = ["numpy>=2.2.0, <3; python_version>='3.10'", "websockets>=15.0, <16"] viz = ["graphviz>=0.17"] +litellm = ["litellm>=1.65.0, <2"] [dependency-groups] dev = [ @@ -44,7 +45,7 @@ dev = [ "pytest", "pytest-asyncio", "pytest-mock>=3.14.0", - "rich", + "rich>=13.1.0, <14", "mkdocs>=1.6.0", "mkdocs-material>=9.6.0", "mkdocstrings[python]>=0.28.0", diff --git a/src/agents/extensions/models/__init__.py b/src/agents/extensions/models/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/src/agents/extensions/models/litellm_model.py b/src/agents/extensions/models/litellm_model.py new file mode 100644 index 000000000..915a1ccbd --- /dev/null +++ b/src/agents/extensions/models/litellm_model.py @@ -0,0 +1,380 @@ +from __future__ import annotations + +import dataclasses +import json +import time +from collections.abc import AsyncIterator +from typing import Any, Literal, cast, overload + +import litellm.types + +from agents.exceptions import ModelBehaviorError + +try: + import litellm +except ImportError as _e: + raise ImportError( + "`litellm` is required to use the LitellmModel. You can install it via the optional " + "dependency group: `pip install 'openai-agents[litellm]'`." + ) from _e + +from openai import NOT_GIVEN, AsyncStream, NotGiven +from openai.types.chat import ChatCompletionChunk, ChatCompletionMessageToolCall +from openai.types.chat.chat_completion_message import ( + Annotation, + AnnotationURLCitation, + ChatCompletionMessage, +) +from openai.types.chat.chat_completion_message_tool_call import Function +from openai.types.responses import Response + +from ... import _debug +from ...agent_output import AgentOutputSchema +from ...handoffs import Handoff +from ...items import ModelResponse, TResponseInputItem, TResponseStreamEvent +from ...logger import logger +from ...model_settings import ModelSettings +from ...models.chatcmpl_converter import Converter +from ...models.chatcmpl_helpers import HEADERS +from ...models.chatcmpl_stream_handler import ChatCmplStreamHandler +from ...models.fake_id import FAKE_RESPONSES_ID +from ...models.interface import Model, ModelTracing +from ...tool import Tool +from ...tracing import generation_span +from ...tracing.span_data import GenerationSpanData +from ...tracing.spans import Span +from ...usage import Usage + + +class LitellmModel(Model): + def __init__( + self, + model: str, + base_url: str | None = None, + api_key: str | None = None, + ): + self.model = model + self.base_url = base_url + self.api_key = api_key + + async def get_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + tracing: ModelTracing, + previous_response_id: str | None, + ) -> ModelResponse: + with generation_span( + model=str(self.model), + model_config=dataclasses.asdict(model_settings) + | {"base_url": str(self.base_url or ""), "model_impl": "litellm"}, + disabled=tracing.is_disabled(), + ) as span_generation: + response = await self._fetch_response( + system_instructions, + input, + model_settings, + tools, + output_schema, + handoffs, + span_generation, + tracing, + stream=False, + ) + + assert isinstance(response.choices[0], litellm.types.utils.Choices) + + if _debug.DONT_LOG_MODEL_DATA: + logger.debug("Received model response") + else: + logger.debug( + f"LLM resp:\n{json.dumps(response.choices[0].message.model_dump(), indent=2)}\n" + ) + + if hasattr(response, "usage"): + response_usage = response.usage + usage = ( + Usage( + requests=1, + input_tokens=response_usage.prompt_tokens, + output_tokens=response_usage.completion_tokens, + total_tokens=response_usage.total_tokens, + ) + if response.usage + else Usage() + ) + else: + usage = Usage() + logger.warning("No usage information returned from Litellm") + + if tracing.include_data(): + span_generation.span_data.output = [response.choices[0].message.model_dump()] + span_generation.span_data.usage = { + "input_tokens": usage.input_tokens, + "output_tokens": usage.output_tokens, + } + + items = Converter.message_to_output_items( + LitellmConverter.convert_message_to_openai(response.choices[0].message) + ) + + return ModelResponse( + output=items, + usage=usage, + response_id=None, + ) + + async def stream_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + tracing: ModelTracing, + *, + previous_response_id: str | None, + ) -> AsyncIterator[TResponseStreamEvent]: + """ + Yields a partial message as it is generated, as well as the usage information. + """ + with generation_span( + model=str(self.model), + model_config=dataclasses.asdict(model_settings) + | {"base_url": str(self.base_url or ""), "model_impl": "litellm"}, + disabled=tracing.is_disabled(), + ) as span_generation: + response, stream = await self._fetch_response( + system_instructions, + input, + model_settings, + tools, + output_schema, + handoffs, + span_generation, + tracing, + stream=True, + ) + + final_response: Response | None = None + async for chunk in ChatCmplStreamHandler.handle_stream(response, stream): + yield chunk + + if chunk.type == "response.completed": + final_response = chunk.response + + if tracing.include_data() and final_response: + span_generation.span_data.output = [final_response.model_dump()] + + if final_response and final_response.usage: + span_generation.span_data.usage = { + "input_tokens": final_response.usage.input_tokens, + "output_tokens": final_response.usage.output_tokens, + } + + @overload + async def _fetch_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + span: Span[GenerationSpanData], + tracing: ModelTracing, + stream: Literal[True], + ) -> tuple[Response, AsyncStream[ChatCompletionChunk]]: ... + + @overload + async def _fetch_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + span: Span[GenerationSpanData], + tracing: ModelTracing, + stream: Literal[False], + ) -> litellm.types.utils.ModelResponse: ... + + async def _fetch_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchema | None, + handoffs: list[Handoff], + span: Span[GenerationSpanData], + tracing: ModelTracing, + stream: bool = False, + ) -> litellm.types.utils.ModelResponse | tuple[Response, AsyncStream[ChatCompletionChunk]]: + converted_messages = Converter.items_to_messages(input) + + if system_instructions: + converted_messages.insert( + 0, + { + "content": system_instructions, + "role": "system", + }, + ) + if tracing.include_data(): + span.span_data.input = converted_messages + + parallel_tool_calls = ( + True + if model_settings.parallel_tool_calls and tools and len(tools) > 0 + else False + if model_settings.parallel_tool_calls is False + else None + ) + tool_choice = Converter.convert_tool_choice(model_settings.tool_choice) + response_format = Converter.convert_response_format(output_schema) + + converted_tools = [Converter.tool_to_openai(tool) for tool in tools] if tools else [] + + for handoff in handoffs: + converted_tools.append(Converter.convert_handoff_tool(handoff)) + + if _debug.DONT_LOG_MODEL_DATA: + logger.debug("Calling LLM") + else: + logger.debug( + f"Calling Litellm model: {self.model}\n" + f"{json.dumps(converted_messages, indent=2)}\n" + f"Tools:\n{json.dumps(converted_tools, indent=2)}\n" + f"Stream: {stream}\n" + f"Tool choice: {tool_choice}\n" + f"Response format: {response_format}\n" + ) + + reasoning_effort = model_settings.reasoning.effort if model_settings.reasoning else None + + stream_options = None + if stream and model_settings.include_usage is not None: + stream_options = {"include_usage": model_settings.include_usage} + + extra_kwargs = {} + if model_settings.extra_query: + extra_kwargs["extra_query"] = model_settings.extra_query + if model_settings.metadata: + extra_kwargs["metadata"] = model_settings.metadata + + ret = await litellm.acompletion( + model=self.model, + messages=converted_messages, + tools=converted_tools or None, + temperature=model_settings.temperature, + top_p=model_settings.top_p, + frequency_penalty=model_settings.frequency_penalty, + presence_penalty=model_settings.presence_penalty, + max_tokens=model_settings.max_tokens, + tool_choice=self._remove_not_given(tool_choice), + response_format=self._remove_not_given(response_format), + parallel_tool_calls=parallel_tool_calls, + stream=stream, + stream_options=stream_options, + reasoning_effort=reasoning_effort, + extra_headers=HEADERS, + api_key=self.api_key, + base_url=self.base_url, + **extra_kwargs, + ) + + if isinstance(ret, litellm.types.utils.ModelResponse): + return ret + + response = Response( + id=FAKE_RESPONSES_ID, + created_at=time.time(), + model=self.model, + object="response", + output=[], + tool_choice=cast(Literal["auto", "required", "none"], tool_choice) + if tool_choice != NOT_GIVEN + else "auto", + top_p=model_settings.top_p, + temperature=model_settings.temperature, + tools=[], + parallel_tool_calls=parallel_tool_calls or False, + reasoning=model_settings.reasoning, + ) + return response, ret + + def _remove_not_given(self, value: Any) -> Any: + if isinstance(value, NotGiven): + return None + return value + + +class LitellmConverter: + @classmethod + def convert_message_to_openai( + cls, message: litellm.types.utils.Message + ) -> ChatCompletionMessage: + if message.role != "assistant": + raise ModelBehaviorError(f"Unsupported role: {message.role}") + + tool_calls = ( + [LitellmConverter.convert_tool_call_to_openai(tool) for tool in message.tool_calls] + if message.tool_calls + else None + ) + + provider_specific_fields = message.get("provider_specific_fields", None) + refusal = ( + provider_specific_fields.get("refusal", None) if provider_specific_fields else None + ) + + return ChatCompletionMessage( + content=message.content, + refusal=refusal, + role="assistant", + annotations=cls.convert_annotations_to_openai(message), + audio=message.get("audio", None), # litellm deletes audio if not present + tool_calls=tool_calls, + ) + + @classmethod + def convert_annotations_to_openai( + cls, message: litellm.types.utils.Message + ) -> list[Annotation] | None: + annotations: list[litellm.types.llms.openai.ChatCompletionAnnotation] | None = message.get( + "annotations", None + ) + if not annotations: + return None + + return [ + Annotation( + type="url_citation", + url_citation=AnnotationURLCitation( + start_index=annotation["url_citation"]["start_index"], + end_index=annotation["url_citation"]["end_index"], + url=annotation["url_citation"]["url"], + title=annotation["url_citation"]["title"], + ), + ) + for annotation in annotations + ] + + @classmethod + def convert_tool_call_to_openai( + cls, tool_call: litellm.types.utils.ChatCompletionMessageToolCall + ) -> ChatCompletionMessageToolCall: + return ChatCompletionMessageToolCall( + id=tool_call.id, + type="function", + function=Function( + name=tool_call.function.name or "", arguments=tool_call.function.arguments + ), + ) diff --git a/src/agents/models/chatcmpl_helpers.py b/src/agents/models/chatcmpl_helpers.py new file mode 100644 index 000000000..0cee21ecc --- /dev/null +++ b/src/agents/models/chatcmpl_helpers.py @@ -0,0 +1,37 @@ +from __future__ import annotations + +from openai import AsyncOpenAI + +from ..model_settings import ModelSettings +from ..version import __version__ + +_USER_AGENT = f"Agents/Python {__version__}" +HEADERS = {"User-Agent": _USER_AGENT} + + +class ChatCmplHelpers: + @classmethod + def is_openai(cls, client: AsyncOpenAI): + return str(client.base_url).startswith("https://api.openai.com") + + @classmethod + def get_store_param(cls, client: AsyncOpenAI, model_settings: ModelSettings) -> bool | None: + # Match the behavior of Responses where store is True when not given + default_store = True if cls.is_openai(client) else None + return model_settings.store if model_settings.store is not None else default_store + + @classmethod + def get_stream_options_param( + cls, client: AsyncOpenAI, model_settings: ModelSettings, stream: bool + ) -> dict[str, bool] | None: + if not stream: + return None + + default_include_usage = True if cls.is_openai(client) else None + include_usage = ( + model_settings.include_usage + if model_settings.include_usage is not None + else default_include_usage + ) + stream_options = {"include_usage": include_usage} if include_usage is not None else None + return stream_options diff --git a/src/agents/models/openai_chatcompletions.py b/src/agents/models/openai_chatcompletions.py index c399168de..9989c1ee0 100644 --- a/src/agents/models/openai_chatcompletions.py +++ b/src/agents/models/openai_chatcompletions.py @@ -21,8 +21,8 @@ from ..tracing.span_data import GenerationSpanData from ..tracing.spans import Span from ..usage import Usage -from ..version import __version__ from .chatcmpl_converter import Converter +from .chatcmpl_helpers import HEADERS, ChatCmplHelpers from .chatcmpl_stream_handler import ChatCmplStreamHandler from .fake_id import FAKE_RESPONSES_ID from .interface import Model, ModelTracing @@ -31,10 +31,6 @@ from ..model_settings import ModelSettings -_USER_AGENT = f"Agents/Python {__version__}" -_HEADERS = {"User-Agent": _USER_AGENT} - - class OpenAIChatCompletionsModel(Model): def __init__( self, @@ -237,9 +233,9 @@ async def _fetch_response( ) reasoning_effort = model_settings.reasoning.effort if model_settings.reasoning else None - store = _Helpers.get_store_param(self._get_client(), model_settings) + store = ChatCmplHelpers.get_store_param(self._get_client(), model_settings) - stream_options = _Helpers.get_stream_options_param( + stream_options = ChatCmplHelpers.get_stream_options_param( self._get_client(), model_settings, stream=stream ) @@ -259,7 +255,7 @@ async def _fetch_response( stream_options=self._non_null_or_not_given(stream_options), store=self._non_null_or_not_given(store), reasoning_effort=self._non_null_or_not_given(reasoning_effort), - extra_headers=_HEADERS, + extra_headers=HEADERS, extra_query=model_settings.extra_query, extra_body=model_settings.extra_body, metadata=self._non_null_or_not_given(model_settings.metadata), @@ -289,31 +285,3 @@ def _get_client(self) -> AsyncOpenAI: if self._client is None: self._client = AsyncOpenAI() return self._client - - -class _Helpers: - @classmethod - def is_openai(cls, client: AsyncOpenAI): - return str(client.base_url).startswith("https://api.openai.com") - - @classmethod - def get_store_param(cls, client: AsyncOpenAI, model_settings: ModelSettings) -> bool | None: - # Match the behavior of Responses where store is True when not given - default_store = True if cls.is_openai(client) else None - return model_settings.store if model_settings.store is not None else default_store - - @classmethod - def get_stream_options_param( - cls, client: AsyncOpenAI, model_settings: ModelSettings, stream: bool - ) -> dict[str, bool] | None: - if not stream: - return None - - default_include_usage = True if cls.is_openai(client) else None - include_usage = ( - model_settings.include_usage - if model_settings.include_usage is not None - else default_include_usage - ) - stream_options = {"include_usage": include_usage} if include_usage is not None else None - return stream_options diff --git a/tests/test_function_schema.py b/tests/test_function_schema.py index ef1e9c222..5618d8ae9 100644 --- a/tests/test_function_schema.py +++ b/tests/test_function_schema.py @@ -99,7 +99,7 @@ def varargs_function(x: int, *numbers: float, flag: bool = False, **kwargs: Any) def test_varargs_function(): """Test a function that uses *args and **kwargs.""" - func_schema = function_schema(varargs_function) + func_schema = function_schema(varargs_function, strict_json_schema=False) # Check JSON schema structure assert isinstance(func_schema.params_json_schema, dict) assert func_schema.params_json_schema.get("title") == "varargs_function_args" diff --git a/tests/test_openai_chatcompletions.py b/tests/test_openai_chatcompletions.py index b0fc1f321..ba3ec68d0 100644 --- a/tests/test_openai_chatcompletions.py +++ b/tests/test_openai_chatcompletions.py @@ -30,8 +30,8 @@ OpenAIProvider, generation_span, ) +from agents.models.chatcmpl_helpers import ChatCmplHelpers from agents.models.fake_id import FAKE_RESPONSES_ID -from agents.models.openai_chatcompletions import _Helpers @pytest.mark.allow_call_model_methods @@ -301,32 +301,32 @@ def test_store_param(): model_settings = ModelSettings() client = AsyncOpenAI() - assert _Helpers.get_store_param(client, model_settings) is True, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is True, ( "Should default to True for OpenAI API calls" ) model_settings = ModelSettings(store=False) - assert _Helpers.get_store_param(client, model_settings) is False, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is False, ( "Should respect explicitly set store=False" ) model_settings = ModelSettings(store=True) - assert _Helpers.get_store_param(client, model_settings) is True, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is True, ( "Should respect explicitly set store=True" ) client = AsyncOpenAI(base_url="http://www.notopenai.com") model_settings = ModelSettings() - assert _Helpers.get_store_param(client, model_settings) is None, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is None, ( "Should default to None for non-OpenAI API calls" ) model_settings = ModelSettings(store=False) - assert _Helpers.get_store_param(client, model_settings) is False, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is False, ( "Should respect explicitly set store=False" ) model_settings = ModelSettings(store=True) - assert _Helpers.get_store_param(client, model_settings) is True, ( + assert ChatCmplHelpers.get_store_param(client, model_settings) is True, ( "Should respect explicitly set store=True" ) diff --git a/tests/voice/conftest.py b/tests/voice/conftest.py index 7eeb9cec0..6ed7422ce 100644 --- a/tests/voice/conftest.py +++ b/tests/voice/conftest.py @@ -1,14 +1,12 @@ import os import sys -import pytest - -def pytest_collection_modifyitems(config, items): +# Skip voice tests on Python 3.9 +def pytest_ignore_collect(collection_path, config): if sys.version_info[:2] == (3, 9): this_dir = os.path.dirname(__file__) - skip_marker = pytest.mark.skip(reason="Skipped on Python 3.9") - for item in items: - if 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1a4913c70..d45b7aa44 100644 --- a/docs/ja/quickstart.md +++ b/docs/ja/quickstart.md @@ -186,4 +186,4 @@ if __name__ == "__main__": - [エージェント](agents.md) の設定方法について学ぶ - [エージェントの実行](running_agents.md) について学ぶ -- [tools](tools.md)、[guardrails](guardrails.md)、[models](models.md) について学ぶ \ No newline at end of file +- [tools](tools.md)、[guardrails](guardrails.md)、[models](models/index.md) について学ぶ diff --git a/docs/models.md b/docs/models/index.md similarity index 95% rename from docs/models.md rename to docs/models/index.md index 1ce6e8f2f..4cf4f6439 100644 --- a/docs/models.md +++ b/docs/models/index.md @@ -70,9 +70,9 @@ You can use other LLM providers in 3 ways (examples [here](https://github.com/op 1. [`set_default_openai_client`][agents.set_default_openai_client] is useful in cases where you want to globally use an instance of `AsyncOpenAI` as the LLM client. This is for cases where the LLM provider has an OpenAI compatible API endpoint, and you can set the `base_url` and `api_key`. See a configurable example in [examples/model_providers/custom_example_global.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_global.py). 2. [`ModelProvider`][agents.models.interface.ModelProvider] is at the `Runner.run` level. This lets you say "use a custom model provider for all agents in this run". See a configurable example in [examples/model_providers/custom_example_provider.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_provider.py). -3. [`Agent.model`][agents.agent.Agent.model] lets you specify the model on a specific Agent instance. This enables you to mix and match different providers for different agents. See a configurable example in [examples/model_providers/custom_example_agent.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_agent.py). +3. [`Agent.model`][agents.agent.Agent.model] lets you specify the model on a specific Agent instance. This enables you to mix and match different providers for different agents. See a configurable example in [examples/model_providers/custom_example_agent.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_agent.py). An easy way to use most available models is via the [LiteLLM integration](./litellm.md). -In cases where you do not have an API key from `platform.openai.com`, we recommend disabling tracing via `set_tracing_disabled()`, or setting up a [different tracing processor](tracing.md). +In cases where you do not have an API key from `platform.openai.com`, we recommend disabling tracing via `set_tracing_disabled()`, or setting up a [different tracing processor](../tracing.md). !!! note @@ -86,7 +86,7 @@ If you get errors related to tracing, this is because traces are uploaded to Ope 1. Disable tracing entirely: [`set_tracing_disabled(True)`][agents.set_tracing_disabled]. 2. Set an OpenAI key for tracing: [`set_tracing_export_api_key(...)`][agents.set_tracing_export_api_key]. This API key will only be used for uploading traces, and must be from [platform.openai.com](https://platform.openai.com/). -3. Use a non-OpenAI trace processor. See the [tracing docs](tracing.md#custom-tracing-processors). +3. Use a non-OpenAI trace processor. See the [tracing docs](../tracing.md#custom-tracing-processors). ### Responses API support diff --git a/docs/models/litellm.md b/docs/models/litellm.md new file mode 100644 index 000000000..963019bf1 --- /dev/null +++ b/docs/models/litellm.md @@ -0,0 +1,63 @@ +# Using any model via LiteLLM + +!!! note + + The LiteLLM integration is in beta. You may run into issues with some model providers, especially smaller ones. Please report any issues via [Github issues](https://github.com/openai/openai-agents-python/issues) and we'll fix quickly. + +[LiteLLM](https://docs.litellm.ai/docs/) is a library that allows you to use 100+ models via a single interface. We've added a LiteLLM integration to allow you to use any AI model in the Agents SDK. + +## Example + +This is a fully working example. When you run it, you'll be prompted for a model name and API key. For example, you could enter: + +- `openai/gpt-4.1` for the model, and your OpenAI API key +- `anthropic/claude-3-5-sonnet-20240620` for the model, and your Anthropic API key +- etc + +For a full list of models supported in LiteLLM, see the [litellm providers docs](https://docs.litellm.ai/docs/providers). + +```python +from __future__ import annotations + +import asyncio + +from agents import Agent, Runner, function_tool, set_tracing_disabled +from agents.extensions.models.litellm_model import LitellmModel + +@function_tool +def get_weather(city: str): + print(f"[debug] getting weather for {city}") + return f"The weather in {city} is sunny." + + +async def main(model: str, api_key: str): + agent = Agent( + name="Assistant", + instructions="You only respond in haikus.", + model=LitellmModel(model=model, api_key=api_key), + tools=[get_weather], + ) + + result = await Runner.run(agent, "What's the weather in Tokyo?") + print(result.final_output) + + +if __name__ == "__main__": + # First try to get model/api key from args + import argparse + + parser = argparse.ArgumentParser() + parser.add_argument("--model", type=str, required=False) + parser.add_argument("--api-key", type=str, required=False) + args = parser.parse_args() + + model = args.model + if not model: + model = input("Enter a model name for Litellm: ") + + api_key = args.api_key + if not api_key: + api_key = input("Enter an API key for Litellm: ") + + asyncio.run(main(model, api_key)) +``` diff --git a/docs/quickstart.md b/docs/quickstart.md index 9513fdb8f..213d16e5d 100644 --- a/docs/quickstart.md +++ b/docs/quickstart.md @@ -186,4 +186,4 @@ Learn how to build more complex agentic flows: - Learn about how to configure [Agents](agents.md). - Learn about [running agents](running_agents.md). -- Learn about [tools](tools.md), [guardrails](guardrails.md) and [models](models.md). +- Learn about [tools](tools.md), [guardrails](guardrails.md) and [models](models/index.md). diff --git a/docs/ref/extensions/litellm.md b/docs/ref/extensions/litellm.md new file mode 100644 index 000000000..7bd67fde4 --- /dev/null +++ b/docs/ref/extensions/litellm.md @@ -0,0 +1,3 @@ +# `LiteLLM Models` + +::: agents.extensions.models.litellm_model diff --git a/mkdocs.yml b/mkdocs.yml index e7f439931..286359dc4 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -66,7 +66,9 @@ plugins: - context.md - guardrails.md - multi_agent.md - - models.md + - Models: + - models/index.md + - models/litellm.md - config.md - visualization.md - Voice agents: @@ -123,6 +125,7 @@ plugins: - Extensions: - ref/extensions/handoff_filters.md - ref/extensions/handoff_prompt.md + - ref/extensions/litellm.md - locale: ja name: 日本語 diff --git a/src/agents/extensions/models/litellm_model.py b/src/agents/extensions/models/litellm_model.py index 915a1ccbd..0fc277c35 100644 --- a/src/agents/extensions/models/litellm_model.py +++ b/src/agents/extensions/models/litellm_model.py @@ -47,6 +47,11 @@ class LitellmModel(Model): + """This class enables using any model via LiteLLM. LiteLLM allows you to acess OpenAPI, + Anthropic, Gemini, Mistral, and many other models. + See supported models here: [litellm models](https://docs.litellm.ai/docs/providers). + """ + def __init__( self, model: str, @@ -140,9 +145,6 @@ async def stream_response( *, previous_response_id: str | None, ) -> AsyncIterator[TResponseStreamEvent]: - """ - Yields a partial message as it is generated, as well as the usage information. - """ with generation_span( model=str(self.model), model_config=dataclasses.asdict(model_settings) From 2bddbb2158ced6d7b933072c08ccb63301a593c9 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 16 Apr 2025 15:11:12 -0400 Subject: [PATCH 078/337] Docs for LiteLLM integration --- docs/ja/quickstart.md | 2 +- docs/{models.md => models/index.md} | 6 +- docs/models/litellm.md | 73 +++++++++++++++++++ docs/quickstart.md | 2 +- docs/ref/extensions/litellm.md | 3 + mkdocs.yml | 5 +- src/agents/extensions/models/litellm_model.py | 8 +- 7 files changed, 90 insertions(+), 9 deletions(-) rename docs/{models.md => models/index.md} (95%) create mode 100644 docs/models/litellm.md create mode 100644 docs/ref/extensions/litellm.md diff --git a/docs/ja/quickstart.md b/docs/ja/quickstart.md index 1a4913c70..d45b7aa44 100644 --- a/docs/ja/quickstart.md +++ b/docs/ja/quickstart.md @@ -186,4 +186,4 @@ if __name__ == "__main__": - [エージェント](agents.md) の設定方法について学ぶ - [エージェントの実行](running_agents.md) について学ぶ -- [tools](tools.md)、[guardrails](guardrails.md)、[models](models.md) について学ぶ \ No newline at end of file +- [tools](tools.md)、[guardrails](guardrails.md)、[models](models/index.md) について学ぶ diff --git a/docs/models.md b/docs/models/index.md similarity index 95% rename from docs/models.md rename to docs/models/index.md index 1ce6e8f2f..4cf4f6439 100644 --- a/docs/models.md +++ b/docs/models/index.md @@ -70,9 +70,9 @@ You can use other LLM providers in 3 ways (examples [here](https://github.com/op 1. [`set_default_openai_client`][agents.set_default_openai_client] is useful in cases where you want to globally use an instance of `AsyncOpenAI` as the LLM client. This is for cases where the LLM provider has an OpenAI compatible API endpoint, and you can set the `base_url` and `api_key`. See a configurable example in [examples/model_providers/custom_example_global.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_global.py). 2. [`ModelProvider`][agents.models.interface.ModelProvider] is at the `Runner.run` level. This lets you say "use a custom model provider for all agents in this run". See a configurable example in [examples/model_providers/custom_example_provider.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_provider.py). -3. [`Agent.model`][agents.agent.Agent.model] lets you specify the model on a specific Agent instance. This enables you to mix and match different providers for different agents. See a configurable example in [examples/model_providers/custom_example_agent.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_agent.py). +3. [`Agent.model`][agents.agent.Agent.model] lets you specify the model on a specific Agent instance. This enables you to mix and match different providers for different agents. See a configurable example in [examples/model_providers/custom_example_agent.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_agent.py). An easy way to use most available models is via the [LiteLLM integration](./litellm.md). -In cases where you do not have an API key from `platform.openai.com`, we recommend disabling tracing via `set_tracing_disabled()`, or setting up a [different tracing processor](tracing.md). +In cases where you do not have an API key from `platform.openai.com`, we recommend disabling tracing via `set_tracing_disabled()`, or setting up a [different tracing processor](../tracing.md). !!! note @@ -86,7 +86,7 @@ If you get errors related to tracing, this is because traces are uploaded to Ope 1. Disable tracing entirely: [`set_tracing_disabled(True)`][agents.set_tracing_disabled]. 2. Set an OpenAI key for tracing: [`set_tracing_export_api_key(...)`][agents.set_tracing_export_api_key]. This API key will only be used for uploading traces, and must be from [platform.openai.com](https://platform.openai.com/). -3. Use a non-OpenAI trace processor. See the [tracing docs](tracing.md#custom-tracing-processors). +3. Use a non-OpenAI trace processor. See the [tracing docs](../tracing.md#custom-tracing-processors). ### Responses API support diff --git a/docs/models/litellm.md b/docs/models/litellm.md new file mode 100644 index 000000000..90572a28c --- /dev/null +++ b/docs/models/litellm.md @@ -0,0 +1,73 @@ +# Using any model via LiteLLM + +!!! note + + The LiteLLM integration is in beta. You may run into issues with some model providers, especially smaller ones. Please report any issues via [Github issues](https://github.com/openai/openai-agents-python/issues) and we'll fix quickly. + +[LiteLLM](https://docs.litellm.ai/docs/) is a library that allows you to use 100+ models via a single interface. We've added a LiteLLM integration to allow you to use any AI model in the Agents SDK. + +## Setup + +You'll need to ensure `litellm` is available. You can do this by installing the optional `litellm` dependency group: + +```bash +pip install "openai-agents[litellm]" +``` + +Once done, you can use [`LitellmModel`][agents.extensions.models.litellm_model.LitellmModel] in any agent. + +## Example + +This is a fully working example. When you run it, you'll be prompted for a model name and API key. For example, you could enter: + +- `openai/gpt-4.1` for the model, and your OpenAI API key +- `anthropic/claude-3-5-sonnet-20240620` for the model, and your Anthropic API key +- etc + +For a full list of models supported in LiteLLM, see the [litellm providers docs](https://docs.litellm.ai/docs/providers). + +```python +from __future__ import annotations + +import asyncio + +from agents import Agent, Runner, function_tool, set_tracing_disabled +from agents.extensions.models.litellm_model import LitellmModel + +@function_tool +def get_weather(city: str): + print(f"[debug] getting weather for {city}") + return f"The weather in {city} is sunny." + + +async def main(model: str, api_key: str): + agent = Agent( + name="Assistant", + instructions="You only respond in haikus.", + model=LitellmModel(model=model, api_key=api_key), + tools=[get_weather], + ) + + result = await Runner.run(agent, "What's the weather in Tokyo?") + print(result.final_output) + + +if __name__ == "__main__": + # First try to get model/api key from args + import argparse + + parser = argparse.ArgumentParser() + parser.add_argument("--model", type=str, required=False) + parser.add_argument("--api-key", type=str, required=False) + args = parser.parse_args() + + model = args.model + if not model: + model = input("Enter a model name for Litellm: ") + + api_key = args.api_key + if not api_key: + api_key = input("Enter an API key for Litellm: ") + + asyncio.run(main(model, api_key)) +``` diff --git a/docs/quickstart.md b/docs/quickstart.md index 9513fdb8f..213d16e5d 100644 --- a/docs/quickstart.md +++ b/docs/quickstart.md @@ -186,4 +186,4 @@ Learn how to build more complex agentic flows: - Learn about how to configure [Agents](agents.md). - Learn about [running agents](running_agents.md). -- Learn about [tools](tools.md), [guardrails](guardrails.md) and [models](models.md). +- Learn about [tools](tools.md), [guardrails](guardrails.md) and [models](models/index.md). diff --git a/docs/ref/extensions/litellm.md b/docs/ref/extensions/litellm.md new file mode 100644 index 000000000..7bd67fde4 --- /dev/null +++ b/docs/ref/extensions/litellm.md @@ -0,0 +1,3 @@ +# `LiteLLM Models` + +::: agents.extensions.models.litellm_model diff --git a/mkdocs.yml b/mkdocs.yml index e7f439931..286359dc4 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -66,7 +66,9 @@ plugins: - context.md - guardrails.md - multi_agent.md - - models.md + - Models: + - models/index.md + - models/litellm.md - config.md - visualization.md - Voice agents: @@ -123,6 +125,7 @@ plugins: - Extensions: - ref/extensions/handoff_filters.md - ref/extensions/handoff_prompt.md + - ref/extensions/litellm.md - locale: ja name: 日本語 diff --git a/src/agents/extensions/models/litellm_model.py b/src/agents/extensions/models/litellm_model.py index 915a1ccbd..0fc277c35 100644 --- a/src/agents/extensions/models/litellm_model.py +++ b/src/agents/extensions/models/litellm_model.py @@ -47,6 +47,11 @@ class LitellmModel(Model): + """This class enables using any model via LiteLLM. LiteLLM allows you to acess OpenAPI, + Anthropic, Gemini, Mistral, and many other models. + See supported models here: [litellm models](https://docs.litellm.ai/docs/providers). + """ + def __init__( self, model: str, @@ -140,9 +145,6 @@ async def stream_response( *, previous_response_id: str | None, ) -> AsyncIterator[TResponseStreamEvent]: - """ - Yields a partial message as it is generated, as well as the usage information. - """ with generation_span( model=str(self.model), model_config=dataclasses.asdict(model_settings) From d022f955f9e7f2b5cd7fd9db695486ff887f419a Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 16 Apr 2025 18:53:12 -0400 Subject: [PATCH 079/337] Docs for LiteLLM integration --- docs/ja/quickstart.md | 2 +- docs/{models.md => models/index.md} | 6 +- docs/models/litellm.md | 73 +++++++++++++++++++ docs/quickstart.md | 2 +- docs/ref/extensions/litellm.md | 3 + mkdocs.yml | 5 +- src/agents/extensions/models/litellm_model.py | 8 +- 7 files changed, 90 insertions(+), 9 deletions(-) rename docs/{models.md => models/index.md} (95%) create mode 100644 docs/models/litellm.md create mode 100644 docs/ref/extensions/litellm.md diff --git a/docs/ja/quickstart.md b/docs/ja/quickstart.md index 1a4913c70..d45b7aa44 100644 --- a/docs/ja/quickstart.md +++ b/docs/ja/quickstart.md @@ -186,4 +186,4 @@ if __name__ == "__main__": - [エージェント](agents.md) の設定方法について学ぶ - [エージェントの実行](running_agents.md) について学ぶ -- [tools](tools.md)、[guardrails](guardrails.md)、[models](models.md) について学ぶ \ No newline at end of file +- [tools](tools.md)、[guardrails](guardrails.md)、[models](models/index.md) について学ぶ diff --git a/docs/models.md b/docs/models/index.md similarity index 95% rename from docs/models.md rename to docs/models/index.md index 1ce6e8f2f..4cf4f6439 100644 --- a/docs/models.md +++ b/docs/models/index.md @@ -70,9 +70,9 @@ You can use other LLM providers in 3 ways (examples [here](https://github.com/op 1. [`set_default_openai_client`][agents.set_default_openai_client] is useful in cases where you want to globally use an instance of `AsyncOpenAI` as the LLM client. This is for cases where the LLM provider has an OpenAI compatible API endpoint, and you can set the `base_url` and `api_key`. See a configurable example in [examples/model_providers/custom_example_global.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_global.py). 2. [`ModelProvider`][agents.models.interface.ModelProvider] is at the `Runner.run` level. This lets you say "use a custom model provider for all agents in this run". See a configurable example in [examples/model_providers/custom_example_provider.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_provider.py). -3. [`Agent.model`][agents.agent.Agent.model] lets you specify the model on a specific Agent instance. This enables you to mix and match different providers for different agents. See a configurable example in [examples/model_providers/custom_example_agent.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_agent.py). +3. [`Agent.model`][agents.agent.Agent.model] lets you specify the model on a specific Agent instance. This enables you to mix and match different providers for different agents. See a configurable example in [examples/model_providers/custom_example_agent.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_agent.py). An easy way to use most available models is via the [LiteLLM integration](./litellm.md). -In cases where you do not have an API key from `platform.openai.com`, we recommend disabling tracing via `set_tracing_disabled()`, or setting up a [different tracing processor](tracing.md). +In cases where you do not have an API key from `platform.openai.com`, we recommend disabling tracing via `set_tracing_disabled()`, or setting up a [different tracing processor](../tracing.md). !!! note @@ -86,7 +86,7 @@ If you get errors related to tracing, this is because traces are uploaded to Ope 1. Disable tracing entirely: [`set_tracing_disabled(True)`][agents.set_tracing_disabled]. 2. Set an OpenAI key for tracing: [`set_tracing_export_api_key(...)`][agents.set_tracing_export_api_key]. This API key will only be used for uploading traces, and must be from [platform.openai.com](https://platform.openai.com/). -3. Use a non-OpenAI trace processor. See the [tracing docs](tracing.md#custom-tracing-processors). +3. Use a non-OpenAI trace processor. See the [tracing docs](../tracing.md#custom-tracing-processors). ### Responses API support diff --git a/docs/models/litellm.md b/docs/models/litellm.md new file mode 100644 index 000000000..90572a28c --- /dev/null +++ b/docs/models/litellm.md @@ -0,0 +1,73 @@ +# Using any model via LiteLLM + +!!! note + + The LiteLLM integration is in beta. You may run into issues with some model providers, especially smaller ones. Please report any issues via [Github issues](https://github.com/openai/openai-agents-python/issues) and we'll fix quickly. + +[LiteLLM](https://docs.litellm.ai/docs/) is a library that allows you to use 100+ models via a single interface. We've added a LiteLLM integration to allow you to use any AI model in the Agents SDK. + +## Setup + +You'll need to ensure `litellm` is available. You can do this by installing the optional `litellm` dependency group: + +```bash +pip install "openai-agents[litellm]" +``` + +Once done, you can use [`LitellmModel`][agents.extensions.models.litellm_model.LitellmModel] in any agent. + +## Example + +This is a fully working example. When you run it, you'll be prompted for a model name and API key. For example, you could enter: + +- `openai/gpt-4.1` for the model, and your OpenAI API key +- `anthropic/claude-3-5-sonnet-20240620` for the model, and your Anthropic API key +- etc + +For a full list of models supported in LiteLLM, see the [litellm providers docs](https://docs.litellm.ai/docs/providers). + +```python +from __future__ import annotations + +import asyncio + +from agents import Agent, Runner, function_tool, set_tracing_disabled +from agents.extensions.models.litellm_model import LitellmModel + +@function_tool +def get_weather(city: str): + print(f"[debug] getting weather for {city}") + return f"The weather in {city} is sunny." + + +async def main(model: str, api_key: str): + agent = Agent( + name="Assistant", + instructions="You only respond in haikus.", + model=LitellmModel(model=model, api_key=api_key), + tools=[get_weather], + ) + + result = await Runner.run(agent, "What's the weather in Tokyo?") + print(result.final_output) + + +if __name__ == "__main__": + # First try to get model/api key from args + import argparse + + parser = argparse.ArgumentParser() + parser.add_argument("--model", type=str, required=False) + parser.add_argument("--api-key", type=str, required=False) + args = parser.parse_args() + + model = args.model + if not model: + model = input("Enter a model name for Litellm: ") + + api_key = args.api_key + if not api_key: + api_key = input("Enter an API key for Litellm: ") + + asyncio.run(main(model, api_key)) +``` diff --git a/docs/quickstart.md b/docs/quickstart.md index 9513fdb8f..213d16e5d 100644 --- a/docs/quickstart.md +++ b/docs/quickstart.md @@ -186,4 +186,4 @@ Learn how to build more complex agentic flows: - Learn about how to configure [Agents](agents.md). - Learn about [running agents](running_agents.md). -- Learn about [tools](tools.md), [guardrails](guardrails.md) and [models](models.md). +- Learn about [tools](tools.md), [guardrails](guardrails.md) and [models](models/index.md). diff --git a/docs/ref/extensions/litellm.md b/docs/ref/extensions/litellm.md new file mode 100644 index 000000000..7bd67fde4 --- /dev/null +++ b/docs/ref/extensions/litellm.md @@ -0,0 +1,3 @@ +# `LiteLLM Models` + +::: agents.extensions.models.litellm_model diff --git a/mkdocs.yml b/mkdocs.yml index e7f439931..286359dc4 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -66,7 +66,9 @@ plugins: - context.md - guardrails.md - multi_agent.md - - models.md + - Models: + - models/index.md + - models/litellm.md - config.md - visualization.md - Voice agents: @@ -123,6 +125,7 @@ plugins: - Extensions: - ref/extensions/handoff_filters.md - ref/extensions/handoff_prompt.md + - ref/extensions/litellm.md - locale: ja name: 日本語 diff --git a/src/agents/extensions/models/litellm_model.py b/src/agents/extensions/models/litellm_model.py index 915a1ccbd..0fc277c35 100644 --- a/src/agents/extensions/models/litellm_model.py +++ b/src/agents/extensions/models/litellm_model.py @@ -47,6 +47,11 @@ class LitellmModel(Model): + """This class enables using any model via LiteLLM. LiteLLM allows you to acess OpenAPI, + Anthropic, Gemini, Mistral, and many other models. + See supported models here: [litellm models](https://docs.litellm.ai/docs/providers). + """ + def __init__( self, model: str, @@ -140,9 +145,6 @@ async def stream_response( *, previous_response_id: str | None, ) -> AsyncIterator[TResponseStreamEvent]: - """ - Yields a partial message as it is generated, as well as the usage information. - """ with generation_span( model=str(self.model), model_config=dataclasses.asdict(model_settings) From 5d9aeeb6a48f1b52e4ed0b216b1ddb83550b57aa Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 16 Apr 2025 21:22:28 -0400 Subject: [PATCH 080/337] RFC: automatically use litellm if possible --- examples/model_providers/litellm_auto.py | 41 +++++ .../extensions/models/litellm_provider.py | 21 +++ src/agents/models/multi_provider.py | 144 ++++++++++++++++++ src/agents/run.py | 4 +- 4 files changed, 208 insertions(+), 2 deletions(-) create mode 100644 examples/model_providers/litellm_auto.py create mode 100644 src/agents/extensions/models/litellm_provider.py create mode 100644 src/agents/models/multi_provider.py diff --git a/examples/model_providers/litellm_auto.py b/examples/model_providers/litellm_auto.py new file mode 100644 index 000000000..12b1e8914 --- /dev/null +++ b/examples/model_providers/litellm_auto.py @@ -0,0 +1,41 @@ +from __future__ import annotations + +import asyncio + +from agents import Agent, Runner, function_tool, set_tracing_disabled + +"""This example uses the built-in support for LiteLLM. To use this, ensure you have the +ANTHROPIC_API_KEY environment variable set. +""" + +set_tracing_disabled(disabled=True) + + +@function_tool +def get_weather(city: str): + print(f"[debug] getting weather for {city}") + return f"The weather in {city} is sunny." + + +async def main(): + agent = Agent( + name="Assistant", + instructions="You only respond in haikus.", + # We prefix with litellm/ to tell the Runner to use the LitellmModel + model="litellm/anthropic/claude-3-5-sonnet-20240620", + tools=[get_weather], + ) + + result = await Runner.run(agent, "What's the weather in Tokyo?") + print(result.final_output) + + +if __name__ == "__main__": + import os + + if os.getenv("ANTHROPIC_API_KEY") is None: + raise ValueError( + "ANTHROPIC_API_KEY is not set. Please set it the environment variable and try again." + ) + + asyncio.run(main()) diff --git a/src/agents/extensions/models/litellm_provider.py b/src/agents/extensions/models/litellm_provider.py new file mode 100644 index 000000000..5a2dc1666 --- /dev/null +++ b/src/agents/extensions/models/litellm_provider.py @@ -0,0 +1,21 @@ +from ...models.interface import Model, ModelProvider +from .litellm_model import LitellmModel + +DEFAULT_MODEL: str = "gpt-4.1" + + +class LitellmProvider(ModelProvider): + """A ModelProvider that uses LiteLLM to route to any model provider. You can use it via: + ```python + Runner.run(agent, input, run_config=RunConfig(model_provider=LitellmProvider())) + ``` + See supported models here: [litellm models](https://docs.litellm.ai/docs/providers). + + NOTE: API keys must be set via environment variables. If you're using models that require + additional configuration (e.g. Azure API base or version), those must also be set via the + environment variables that LiteLLM expects. If you have more advanced needs, we recommend + copy-pasting this class and making any modifications you need. + """ + + def get_model(self, model_name: str | None) -> Model: + return LitellmModel(model_name or DEFAULT_MODEL) diff --git a/src/agents/models/multi_provider.py b/src/agents/models/multi_provider.py new file mode 100644 index 000000000..050ad650b --- /dev/null +++ b/src/agents/models/multi_provider.py @@ -0,0 +1,144 @@ +from __future__ import annotations + +from openai import AsyncOpenAI + +from ..exceptions import UserError +from .interface import Model, ModelProvider +from .openai_provider import OpenAIProvider + + +class MultiProviderMap: + """A map of model name prefixes to ModelProviders.""" + + def __init__(self): + self._mapping: dict[str, ModelProvider] = {} + + def has_prefix(self, prefix: str) -> bool: + """Returns True if the given prefix is in the mapping.""" + return prefix in self._mapping + + def get_mapping(self) -> dict[str, ModelProvider]: + """Returns a copy of the current prefix -> ModelProvider mapping.""" + return self._mapping.copy() + + def set_mapping(self, mapping: dict[str, ModelProvider]): + """Overwrites the current mapping with a new one.""" + self._mapping = mapping + + def get_provider(self, prefix: str) -> ModelProvider | None: + """Returns the ModelProvider for the given prefix. + + Args: + prefix: The prefix of the model name e.g. "openai" or "my_prefix". + """ + return self._mapping.get(prefix) + + def add_provider(self, prefix: str, provider: ModelProvider): + """Adds a new prefix -> ModelProvider mapping. + + Args: + prefix: The prefix of the model name e.g. "openai" or "my_prefix". + provider: The ModelProvider to use for the given prefix. + """ + self._mapping[prefix] = provider + + def remove_provider(self, prefix: str): + """Removes the mapping for the given prefix. + + Args: + prefix: The prefix of the model name e.g. "openai" or "my_prefix". + """ + del self._mapping[prefix] + + +class MultiProvider(ModelProvider): + """This ModelProvider maps to a Model based on the prefix of the model name. By default, the + mapping is: + - "openai/" prefix -> OpenAIProvider. e.g. "openai/gpt-4.1" + - "litellm/" prefix -> LitellmProvider. e.g. "litellm/openai/gpt-4.1" + + You can override or customize this mapping. + """ + + def __init__( + self, + *, + provider_map: MultiProviderMap | None = None, + openai_api_key: str | None = None, + openai_base_url: str | None = None, + openai_client: AsyncOpenAI | None = None, + openai_organization: str | None = None, + openai_project: str | None = None, + openai_use_responses: bool | None = None, + ) -> None: + """Create a new OpenAI provider. + + Args: + provider_map: A MultiProviderMap that maps prefixes to ModelProviders. If not provided, + we will use a default mapping. See the documentation for this class to see the + default mapping. + openai_api_key: The API key to use for the OpenAI provider. If not provided, we will use + the default API key. + openai_base_url: The base URL to use for the OpenAI provider. If not provided, we will + use the default base URL. + openai_client: An optional OpenAI client to use. If not provided, we will create a new + OpenAI client using the api_key and base_url. + openai_organization: The organization to use for the OpenAI provider. + openai_project: The project to use for the OpenAI provider. + openai_use_responses: Whether to use the OpenAI responses API. + """ + self.provider_map = provider_map + self.openai_provider = OpenAIProvider( + api_key=openai_api_key, + base_url=openai_base_url, + openai_client=openai_client, + organization=openai_organization, + project=openai_project, + use_responses=openai_use_responses, + ) + + self._fallback_providers: dict[str, ModelProvider] = {} + + def _get_prefix_and_model_name(self, model_name: str | None) -> tuple[str | None, str | None]: + if model_name is None: + return None, None + elif "/" in model_name: + prefix, model_name = model_name.split("/", 1) + return prefix, model_name + else: + return None, model_name + + def _create_fallback_provider(self, prefix: str) -> ModelProvider: + if prefix == "litellm": + from ..extensions.models.litellm_provider import LitellmProvider + + return LitellmProvider() + else: + raise UserError(f"Unknown prefix: {prefix}") + + def _get_fallback_provider(self, prefix: str | None) -> ModelProvider: + if prefix is None: + return self.openai_provider + elif prefix in self._fallback_providers: + return self._fallback_providers[prefix] + else: + self._fallback_providers[prefix] = self._create_fallback_provider(prefix) + return self._fallback_providers[prefix] + + def get_model(self, model_name: str | None) -> Model: + """Returns a Model based on the model name. The model name can have a prefix, ending with + a "/", which will be used to look up the ModelProvider. If there is no prefix, we will use + the OpenAI provider. + + Args: + model_name: The name of the model to get. + + Returns: + A Model. + """ + prefix, model_name = self._get_prefix_and_model_name(model_name) + + if prefix and self.provider_map and (provider := self.provider_map.get_provider(prefix)): + return provider.get_model(model_name) + else: + return self._get_fallback_provider(prefix).get_model(model_name) diff --git a/src/agents/run.py b/src/agents/run.py index e2b0dbceb..905891a38 100644 --- a/src/agents/run.py +++ b/src/agents/run.py @@ -34,7 +34,7 @@ from .logger import logger from .model_settings import ModelSettings from .models.interface import Model, ModelProvider -from .models.openai_provider import OpenAIProvider +from .models.multi_provider import MultiProvider from .result import RunResult, RunResultStreaming from .run_context import RunContextWrapper, TContext from .stream_events import AgentUpdatedStreamEvent, RawResponsesStreamEvent @@ -56,7 +56,7 @@ class RunConfig: agent. The model_provider passed in below must be able to resolve this model name. """ - model_provider: ModelProvider = field(default_factory=OpenAIProvider) + model_provider: ModelProvider = field(default_factory=MultiProvider) """The model provider to use when looking up string model names. Defaults to OpenAI.""" model_settings: ModelSettings | None = None From 45e29c82ebf2897d7cd478e2ae017e3f32f58cc7 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 16 Apr 2025 21:29:27 -0400 Subject: [PATCH 081/337] RFC: automatically use litellm if possible --- examples/model_providers/litellm_auto.py | 41 +++++ .../extensions/models/litellm_provider.py | 21 +++ src/agents/models/multi_provider.py | 144 ++++++++++++++++++ src/agents/run.py | 4 +- 4 files changed, 208 insertions(+), 2 deletions(-) create mode 100644 examples/model_providers/litellm_auto.py create mode 100644 src/agents/extensions/models/litellm_provider.py create mode 100644 src/agents/models/multi_provider.py diff --git a/examples/model_providers/litellm_auto.py b/examples/model_providers/litellm_auto.py new file mode 100644 index 000000000..12b1e8914 --- /dev/null +++ b/examples/model_providers/litellm_auto.py @@ -0,0 +1,41 @@ +from __future__ import annotations + +import asyncio + +from agents import Agent, Runner, function_tool, set_tracing_disabled + +"""This example uses the built-in support for LiteLLM. To use this, ensure you have the +ANTHROPIC_API_KEY environment variable set. +""" + +set_tracing_disabled(disabled=True) + + +@function_tool +def get_weather(city: str): + print(f"[debug] getting weather for {city}") + return f"The weather in {city} is sunny." + + +async def main(): + agent = Agent( + name="Assistant", + instructions="You only respond in haikus.", + # We prefix with litellm/ to tell the Runner to use the LitellmModel + model="litellm/anthropic/claude-3-5-sonnet-20240620", + tools=[get_weather], + ) + + result = await Runner.run(agent, "What's the weather in Tokyo?") + print(result.final_output) + + +if __name__ == "__main__": + import os + + if os.getenv("ANTHROPIC_API_KEY") is None: + raise ValueError( + "ANTHROPIC_API_KEY is not set. Please set it the environment variable and try again." + ) + + asyncio.run(main()) diff --git a/src/agents/extensions/models/litellm_provider.py b/src/agents/extensions/models/litellm_provider.py new file mode 100644 index 000000000..5a2dc1666 --- /dev/null +++ b/src/agents/extensions/models/litellm_provider.py @@ -0,0 +1,21 @@ +from ...models.interface import Model, ModelProvider +from .litellm_model import LitellmModel + +DEFAULT_MODEL: str = "gpt-4.1" + + +class LitellmProvider(ModelProvider): + """A ModelProvider that uses LiteLLM to route to any model provider. You can use it via: + ```python + Runner.run(agent, input, run_config=RunConfig(model_provider=LitellmProvider())) + ``` + See supported models here: [litellm models](https://docs.litellm.ai/docs/providers). + + NOTE: API keys must be set via environment variables. If you're using models that require + additional configuration (e.g. Azure API base or version), those must also be set via the + environment variables that LiteLLM expects. If you have more advanced needs, we recommend + copy-pasting this class and making any modifications you need. + """ + + def get_model(self, model_name: str | None) -> Model: + return LitellmModel(model_name or DEFAULT_MODEL) diff --git a/src/agents/models/multi_provider.py b/src/agents/models/multi_provider.py new file mode 100644 index 000000000..64ee645c2 --- /dev/null +++ b/src/agents/models/multi_provider.py @@ -0,0 +1,144 @@ +from __future__ import annotations + +from openai import AsyncOpenAI + +from ..exceptions import UserError +from .interface import Model, ModelProvider +from .openai_provider import OpenAIProvider + + +class MultiProviderMap: + """A map of model name prefixes to ModelProviders.""" + + def __init__(self): + self._mapping: dict[str, ModelProvider] = {} + + def has_prefix(self, prefix: str) -> bool: + """Returns True if the given prefix is in the mapping.""" + return prefix in self._mapping + + def get_mapping(self) -> dict[str, ModelProvider]: + """Returns a copy of the current prefix -> ModelProvider mapping.""" + return self._mapping.copy() + + def set_mapping(self, mapping: dict[str, ModelProvider]): + """Overwrites the current mapping with a new one.""" + self._mapping = mapping + + def get_provider(self, prefix: str) -> ModelProvider | None: + """Returns the ModelProvider for the given prefix. + + Args: + prefix: The prefix of the model name e.g. "openai" or "my_prefix". + """ + return self._mapping.get(prefix) + + def add_provider(self, prefix: str, provider: ModelProvider): + """Adds a new prefix -> ModelProvider mapping. + + Args: + prefix: The prefix of the model name e.g. "openai" or "my_prefix". + provider: The ModelProvider to use for the given prefix. + """ + self._mapping[prefix] = provider + + def remove_provider(self, prefix: str): + """Removes the mapping for the given prefix. + + Args: + prefix: The prefix of the model name e.g. "openai" or "my_prefix". + """ + del self._mapping[prefix] + + +class MultiProvider(ModelProvider): + """This ModelProvider maps to a Model based on the prefix of the model name. By default, the + mapping is: + - "openai/" prefix or no prefix -> OpenAIProvider. e.g. "openai/gpt-4.1" + - "litellm/" prefix -> LitellmProvider. e.g. "litellm/openai/gpt-4.1" + + You can override or customize this mapping. + """ + + def __init__( + self, + *, + provider_map: MultiProviderMap | None = None, + openai_api_key: str | None = None, + openai_base_url: str | None = None, + openai_client: AsyncOpenAI | None = None, + openai_organization: str | None = None, + openai_project: str | None = None, + openai_use_responses: bool | None = None, + ) -> None: + """Create a new OpenAI provider. + + Args: + provider_map: A MultiProviderMap that maps prefixes to ModelProviders. If not provided, + we will use a default mapping. See the documentation for this class to see the + default mapping. + openai_api_key: The API key to use for the OpenAI provider. If not provided, we will use + the default API key. + openai_base_url: The base URL to use for the OpenAI provider. If not provided, we will + use the default base URL. + openai_client: An optional OpenAI client to use. If not provided, we will create a new + OpenAI client using the api_key and base_url. + openai_organization: The organization to use for the OpenAI provider. + openai_project: The project to use for the OpenAI provider. + openai_use_responses: Whether to use the OpenAI responses API. + """ + self.provider_map = provider_map + self.openai_provider = OpenAIProvider( + api_key=openai_api_key, + base_url=openai_base_url, + openai_client=openai_client, + organization=openai_organization, + project=openai_project, + use_responses=openai_use_responses, + ) + + self._fallback_providers: dict[str, ModelProvider] = {} + + def _get_prefix_and_model_name(self, model_name: str | None) -> tuple[str | None, str | None]: + if model_name is None: + return None, None + elif "/" in model_name: + prefix, model_name = model_name.split("/", 1) + return prefix, model_name + else: + return None, model_name + + def _create_fallback_provider(self, prefix: str) -> ModelProvider: + if prefix == "litellm": + from ..extensions.models.litellm_provider import LitellmProvider + + return LitellmProvider() + else: + raise UserError(f"Unknown prefix: {prefix}") + + def _get_fallback_provider(self, prefix: str | None) -> ModelProvider: + if prefix is None or prefix == "openai": + return self.openai_provider + elif prefix in self._fallback_providers: + return self._fallback_providers[prefix] + else: + self._fallback_providers[prefix] = self._create_fallback_provider(prefix) + return self._fallback_providers[prefix] + + def get_model(self, model_name: str | None) -> Model: + """Returns a Model based on the model name. The model name can have a prefix, ending with + a "/", which will be used to look up the ModelProvider. If there is no prefix, we will use + the OpenAI provider. + + Args: + model_name: The name of the model to get. + + Returns: + A Model. + """ + prefix, model_name = self._get_prefix_and_model_name(model_name) + + if prefix and self.provider_map and (provider := self.provider_map.get_provider(prefix)): + return provider.get_model(model_name) + else: + return self._get_fallback_provider(prefix).get_model(model_name) diff --git a/src/agents/run.py b/src/agents/run.py index e2b0dbceb..905891a38 100644 --- a/src/agents/run.py +++ b/src/agents/run.py @@ -34,7 +34,7 @@ from .logger import logger from .model_settings import ModelSettings from .models.interface import Model, ModelProvider -from .models.openai_provider import OpenAIProvider +from .models.multi_provider import MultiProvider from .result import RunResult, RunResultStreaming from .run_context import RunContextWrapper, TContext from .stream_events import AgentUpdatedStreamEvent, RawResponsesStreamEvent @@ -56,7 +56,7 @@ class RunConfig: agent. The model_provider passed in below must be able to resolve this model name. """ - model_provider: ModelProvider = field(default_factory=OpenAIProvider) + model_provider: ModelProvider = field(default_factory=MultiProvider) """The model provider to use when looking up string model names. Defaults to OpenAI.""" model_settings: ModelSettings | None = None From 342365f7879a39db8eb6fcd9246183b990d9cb37 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Thu, 17 Apr 2025 13:53:09 -0400 Subject: [PATCH 082/337] Enable non-strict output types --- src/agents/agent.py | 8 ++++++++ src/agents/agent_output.py | 9 ++++++++- src/agents/run.py | 2 +- 3 files changed, 17 insertions(+), 2 deletions(-) diff --git a/src/agents/agent.py b/src/agents/agent.py index a24456b06..46cb09d30 100644 --- a/src/agents/agent.py +++ b/src/agents/agent.py @@ -144,6 +144,14 @@ class Agent(Generic[TContext]): output_type: type[Any] | None = None """The type of the output object. If not provided, the output will be `str`.""" + output_schema_strict: bool = True + """Whether the output JSON schema passed to the LLM should be strict. + + We **strongly** recommend setting this to True, as it increases the likelihood of correct JSON + being produced. However, for output types that cannot be converted to strict JSON, you can + set this to False. + """ + hooks: AgentHooks[TContext] | None = None """A class that receives callbacks on various lifecycle events for this agent. """ diff --git a/src/agents/agent_output.py b/src/agents/agent_output.py index 3262c57d6..51a627288 100644 --- a/src/agents/agent_output.py +++ b/src/agents/agent_output.py @@ -71,7 +71,14 @@ def __init__(self, output_type: type[Any], strict_json_schema: bool = True): self._output_schema = self._type_adapter.json_schema() if self.strict_json_schema: - self._output_schema = ensure_strict_json_schema(self._output_schema) + try: + self._output_schema = ensure_strict_json_schema(self._output_schema) + except UserError as e: + raise UserError( + "Strict JSON schema is enabled, but the output type is not valid. " + "Either make the output type strict, or pass strict_json_schema=False to your " + "Agent()" + ) from e def is_plain_text(self) -> bool: """Whether the output type is plain text (versus a JSON object).""" diff --git a/src/agents/run.py b/src/agents/run.py index e2b0dbceb..0bb356cfb 100644 --- a/src/agents/run.py +++ b/src/agents/run.py @@ -934,7 +934,7 @@ def _get_output_schema(cls, agent: Agent[Any]) -> AgentOutputSchema | None: if agent.output_type is None or agent.output_type is str: return None - return AgentOutputSchema(agent.output_type) + return AgentOutputSchema(agent.output_type, strict_json_schema=agent.output_schema_strict) @classmethod def _get_handoffs(cls, agent: Agent[Any]) -> list[Handoff]: From 497b0698738f60491c0210e6b462d22489583b57 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Thu, 17 Apr 2025 13:53:09 -0400 Subject: [PATCH 083/337] Enable non-strict output types --- src/agents/agent.py | 8 ++++++++ src/agents/agent_output.py | 9 ++++++++- src/agents/run.py | 2 +- 3 files changed, 17 insertions(+), 2 deletions(-) diff --git a/src/agents/agent.py b/src/agents/agent.py index a24456b06..46cb09d30 100644 --- a/src/agents/agent.py +++ b/src/agents/agent.py @@ -144,6 +144,14 @@ class Agent(Generic[TContext]): output_type: type[Any] | None = None """The type of the output object. If not provided, the output will be `str`.""" + output_schema_strict: bool = True + """Whether the output JSON schema passed to the LLM should be strict. + + We **strongly** recommend setting this to True, as it increases the likelihood of correct JSON + being produced. However, for output types that cannot be converted to strict JSON, you can + set this to False. + """ + hooks: AgentHooks[TContext] | None = None """A class that receives callbacks on various lifecycle events for this agent. """ diff --git a/src/agents/agent_output.py b/src/agents/agent_output.py index 3262c57d6..db4704955 100644 --- a/src/agents/agent_output.py +++ b/src/agents/agent_output.py @@ -71,7 +71,14 @@ def __init__(self, output_type: type[Any], strict_json_schema: bool = True): self._output_schema = self._type_adapter.json_schema() if self.strict_json_schema: - self._output_schema = ensure_strict_json_schema(self._output_schema) + try: + self._output_schema = ensure_strict_json_schema(self._output_schema) + except UserError as e: + raise UserError( + "Strict JSON schema is enabled, but the output type is not valid. " + "Either make the output type strict, or pass output_schema_strict=False to " + "your Agent()" + ) from e def is_plain_text(self) -> bool: """Whether the output type is plain text (versus a JSON object).""" diff --git a/src/agents/run.py b/src/agents/run.py index e2b0dbceb..0bb356cfb 100644 --- a/src/agents/run.py +++ b/src/agents/run.py @@ -934,7 +934,7 @@ def _get_output_schema(cls, agent: Agent[Any]) -> AgentOutputSchema | None: if agent.output_type is None or agent.output_type is str: return None - return AgentOutputSchema(agent.output_type) + return AgentOutputSchema(agent.output_type, strict_json_schema=agent.output_schema_strict) @classmethod def _get_handoffs(cls, agent: Agent[Any]) -> list[Handoff]: From 64283c633bcf07dac4e242fd52356e7fa1300559 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Thu, 17 Apr 2025 15:39:14 -0400 Subject: [PATCH 084/337] Start and finish streaming trace in impl metod --- .gitignore | 3 +- examples/basic/non_strict_output_type.py | 46 ++++++++++++++++++++++++ pyproject.toml | 1 + src/agents/result.py | 3 -- src/agents/run.py | 9 ++--- tests/fastapi/__init__.py | 0 tests/fastapi/streaming_app.py | 30 ++++++++++++++++ tests/fastapi/test_streaming_context.py | 29 +++++++++++++++ uv.lock | 19 +++++++++- 9 files changed, 131 insertions(+), 9 deletions(-) create mode 100644 examples/basic/non_strict_output_type.py create mode 100644 tests/fastapi/__init__.py create mode 100644 tests/fastapi/streaming_app.py create mode 100644 tests/fastapi/test_streaming_context.py diff --git a/.gitignore b/.gitignore index 7dd22b88d..2e9b92379 100644 --- a/.gitignore +++ b/.gitignore @@ -141,4 +141,5 @@ cython_debug/ .ruff_cache/ # PyPI configuration file -.pypirc \ No newline at end of file +.pypirc +.aider* diff --git a/examples/basic/non_strict_output_type.py b/examples/basic/non_strict_output_type.py new file mode 100644 index 000000000..e79860fdb --- /dev/null +++ b/examples/basic/non_strict_output_type.py @@ -0,0 +1,46 @@ +import asyncio +from dataclasses import dataclass + +from agents import Agent, Runner + +"""This example demonstrates how to use an output type that is not in strict mode. Strict mode +allows us to guarantee valid JSON output, but some schemas are not strict-compatible. + +In this example, we define an output type that is not strict-compatible, and then we run the +agent with strict_json_schema=False. + +To understand which schemas are strict-compatible, see: +https://platform.openai.com/docs/guides/structured-outputs?api-mode=responses#supported-schemas +""" + + +@dataclass +class OutputType: + jokes: dict[int, str] + """A list of jokes, indexed by joke number.""" + + +async def main(): + agent = Agent( + name="Assistant", + instructions="You are a helpful assistant.", + output_type=OutputType, + ) + + input = "Tell me 3 short jokes." + + # First, let's try with a strict output type. This should raise an exception. + try: + result = await Runner.run(agent, input) + raise AssertionError("Should have raised an exception") + except Exception as e: + print(f"Error: {e}") + + # Now let's try again with a non-strict output type. This should work. + agent.output_schema_strict = False + result = await Runner.run(agent, input) + print(result.final_output) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/pyproject.toml b/pyproject.toml index f94eb8593..c06a8416b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -61,6 +61,7 @@ dev = [ "graphviz", "mkdocs-static-i18n>=1.3.0", "eval-type-backport>=0.2.2", + "fastapi >= 0.110.0, <1", ] [tool.uv.workspace] diff --git a/src/agents/result.py b/src/agents/result.py index a2a6cc4a5..f4f9b8955 100644 --- a/src/agents/result.py +++ b/src/agents/result.py @@ -185,9 +185,6 @@ async def stream_events(self) -> AsyncIterator[StreamEvent]: yield item self._event_queue.task_done() - if self._trace: - self._trace.finish(reset_current=True) - self._cleanup_tasks() if self._stored_exception: diff --git a/src/agents/run.py b/src/agents/run.py index e2b0dbceb..1b9f45800 100644 --- a/src/agents/run.py +++ b/src/agents/run.py @@ -404,10 +404,6 @@ def run_streamed( disabled=run_config.tracing_disabled, ) ) - # Need to start the trace here, because the current trace contextvar is captured at - # asyncio.create_task time - if new_trace: - new_trace.start(mark_as_current=True) output_schema = cls._get_output_schema(starting_agent) context_wrapper: RunContextWrapper[TContext] = RunContextWrapper( @@ -499,6 +495,9 @@ async def _run_streamed_impl( run_config: RunConfig, previous_response_id: str | None, ): + if streamed_result._trace: + streamed_result._trace.start(mark_as_current=True) + current_span: Span[AgentSpanData] | None = None current_agent = starting_agent current_turn = 0 @@ -625,6 +624,8 @@ async def _run_streamed_impl( finally: if current_span: current_span.finish(reset_current=True) + if streamed_result._trace: + streamed_result._trace.finish(reset_current=True) @classmethod async def _run_single_turn_streamed( diff --git a/tests/fastapi/__init__.py b/tests/fastapi/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/tests/fastapi/streaming_app.py b/tests/fastapi/streaming_app.py new file mode 100644 index 000000000..b93ccf3f3 --- /dev/null +++ b/tests/fastapi/streaming_app.py @@ -0,0 +1,30 @@ +from collections.abc import AsyncIterator + +from fastapi import FastAPI +from starlette.responses import StreamingResponse + +from agents import Agent, Runner, RunResultStreaming + +agent = Agent( + name="Assistant", + instructions="You are a helpful assistant.", +) + + +app = FastAPI() + + +@app.post("/stream") +async def stream(): + result = Runner.run_streamed(agent, input="Tell me a joke") + stream_handler = StreamHandler(result) + return StreamingResponse(stream_handler.stream_events(), media_type="application/x-ndjson") + + +class StreamHandler: + def __init__(self, result: RunResultStreaming): + self.result = result + + async def stream_events(self) -> AsyncIterator[str]: + async for event in self.result.stream_events(): + yield f"{event.type}\n\n" diff --git a/tests/fastapi/test_streaming_context.py b/tests/fastapi/test_streaming_context.py new file mode 100644 index 000000000..ee13045e4 --- /dev/null +++ b/tests/fastapi/test_streaming_context.py @@ -0,0 +1,29 @@ +import pytest +from httpx import ASGITransport, AsyncClient +from inline_snapshot import snapshot + +from ..fake_model import FakeModel +from ..test_responses import get_text_message +from .streaming_app import agent, app + + +@pytest.mark.asyncio +async def test_streaming_context(): + """This ensures that FastAPI streaming works. The context for this test is that the Runner + method was called in one async context, and the streaming was ended in another context, + leading to a tracing error because the context was closed in the wrong context. This test + ensures that this actually works. + """ + model = FakeModel() + agent.model = model + model.set_next_output([get_text_message("done")]) + + transport = ASGITransport(app) + async with AsyncClient(transport=transport, base_url="http://test") as ac: + async with ac.stream("POST", "/stream") as r: + assert r.status_code == 200 + body = (await r.aread()).decode("utf-8") + lines = [line for line in body.splitlines() if line] + assert lines == snapshot( + ["agent_updated_stream_event", "raw_response_event", "run_item_stream_event"] + ) diff --git a/uv.lock b/uv.lock index 24d089a50..3ee65d21a 100644 --- a/uv.lock +++ b/uv.lock @@ -483,6 +483,20 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/7b/8f/c4d9bafc34ad7ad5d8dc16dd1347ee0e507a52c3adb6bfa8887e1c6a26ba/executing-2.2.0-py2.py3-none-any.whl", hash = "sha256:11387150cad388d62750327a53d3339fad4888b39a6fe233c3afbb54ecffd3aa", size = 26702 }, ] +[[package]] +name = "fastapi" +version = "0.115.12" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "pydantic" }, + { name = "starlette" }, + { name = "typing-extensions" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/f4/55/ae499352d82338331ca1e28c7f4a63bfd09479b16395dce38cf50a39e2c2/fastapi-0.115.12.tar.gz", hash = "sha256:1e2c2a2646905f9e83d32f04a3f86aff4a286669c6c950ca95b5fd68c2602681", size = 295236 } +wheels = [ + { url = "https://files.pythonhosted.org/packages/50/b3/b51f09c2ba432a576fe63758bddc81f78f0c6309d9e5c10d194313bf021e/fastapi-0.115.12-py3-none-any.whl", hash = "sha256:e94613d6c05e27be7ffebdd6ea5f388112e5e430c8f7d6494a9d1d88d43e814d", size = 95164 }, +] + [[package]] name = "filelock" version = "3.18.0" @@ -1496,6 +1510,7 @@ voice = [ dev = [ { name = "coverage" }, { name = "eval-type-backport" }, + { name = "fastapi" }, { name = "graphviz" }, { name = "inline-snapshot" }, { name = "mkdocs" }, @@ -1536,6 +1551,7 @@ provides-extras = ["voice", "viz", "litellm"] dev = [ { name = "coverage", specifier = ">=7.6.12" }, { name = "eval-type-backport", specifier = ">=0.2.2" }, + { name = "fastapi", specifier = ">=0.110.0,<1" }, { name = "graphviz" }, { name = "inline-snapshot", specifier = ">=0.20.7" }, { name = "mkdocs", specifier = ">=1.6.0" }, @@ -2474,7 +2490,8 @@ name = "starlette" version = "0.46.2" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "anyio", marker = "python_full_version >= '3.10'" }, + { name = "anyio" }, + { name = "typing-extensions", marker = "python_full_version < '3.10'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/ce/20/08dfcd9c983f6a6f4a1000d934b9e6d626cff8d2eeb77a89a68eef20a2b7/starlette-0.46.2.tar.gz", hash = "sha256:7f7361f34eed179294600af672f565727419830b54b7b084efe44bb82d2fccd5", size = 2580846 } wheels = [ From 3b874f38d40dfa031ee1e971bdb0be4073fae2fb Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 18 Apr 2025 14:51:39 -0400 Subject: [PATCH 085/337] Start and finish streaming trace in impl metod --- .gitignore | 3 ++- pyproject.toml | 1 + src/agents/result.py | 3 --- src/agents/run.py | 9 ++++---- tests/fastapi/__init__.py | 0 tests/fastapi/streaming_app.py | 30 +++++++++++++++++++++++++ tests/fastapi/test_streaming_context.py | 29 ++++++++++++++++++++++++ uv.lock | 19 +++++++++++++++- 8 files changed, 85 insertions(+), 9 deletions(-) create mode 100644 tests/fastapi/__init__.py create mode 100644 tests/fastapi/streaming_app.py create mode 100644 tests/fastapi/test_streaming_context.py diff --git a/.gitignore b/.gitignore index 7dd22b88d..2e9b92379 100644 --- a/.gitignore +++ b/.gitignore @@ -141,4 +141,5 @@ cython_debug/ .ruff_cache/ # PyPI configuration file -.pypirc \ No newline at end of file +.pypirc +.aider* diff --git a/pyproject.toml b/pyproject.toml index f94eb8593..c06a8416b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -61,6 +61,7 @@ dev = [ "graphviz", "mkdocs-static-i18n>=1.3.0", "eval-type-backport>=0.2.2", + "fastapi >= 0.110.0, <1", ] [tool.uv.workspace] diff --git a/src/agents/result.py b/src/agents/result.py index a2a6cc4a5..f4f9b8955 100644 --- a/src/agents/result.py +++ b/src/agents/result.py @@ -185,9 +185,6 @@ async def stream_events(self) -> AsyncIterator[StreamEvent]: yield item self._event_queue.task_done() - if self._trace: - self._trace.finish(reset_current=True) - self._cleanup_tasks() if self._stored_exception: diff --git a/src/agents/run.py b/src/agents/run.py index e2b0dbceb..1b9f45800 100644 --- a/src/agents/run.py +++ b/src/agents/run.py @@ -404,10 +404,6 @@ def run_streamed( disabled=run_config.tracing_disabled, ) ) - # Need to start the trace here, because the current trace contextvar is captured at - # asyncio.create_task time - if new_trace: - new_trace.start(mark_as_current=True) output_schema = cls._get_output_schema(starting_agent) context_wrapper: RunContextWrapper[TContext] = RunContextWrapper( @@ -499,6 +495,9 @@ async def _run_streamed_impl( run_config: RunConfig, previous_response_id: str | None, ): + if streamed_result._trace: + streamed_result._trace.start(mark_as_current=True) + current_span: Span[AgentSpanData] | None = None current_agent = starting_agent current_turn = 0 @@ -625,6 +624,8 @@ async def _run_streamed_impl( finally: if current_span: current_span.finish(reset_current=True) + if streamed_result._trace: + streamed_result._trace.finish(reset_current=True) @classmethod async def _run_single_turn_streamed( diff --git a/tests/fastapi/__init__.py b/tests/fastapi/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/tests/fastapi/streaming_app.py b/tests/fastapi/streaming_app.py new file mode 100644 index 000000000..b93ccf3f3 --- /dev/null +++ b/tests/fastapi/streaming_app.py @@ -0,0 +1,30 @@ +from collections.abc import AsyncIterator + +from fastapi import FastAPI +from starlette.responses import StreamingResponse + +from agents import Agent, Runner, RunResultStreaming + +agent = Agent( + name="Assistant", + instructions="You are a helpful assistant.", +) + + +app = FastAPI() + + +@app.post("/stream") +async def stream(): + result = Runner.run_streamed(agent, input="Tell me a joke") + stream_handler = StreamHandler(result) + return StreamingResponse(stream_handler.stream_events(), media_type="application/x-ndjson") + + +class StreamHandler: + def __init__(self, result: RunResultStreaming): + self.result = result + + async def stream_events(self) -> AsyncIterator[str]: + async for event in self.result.stream_events(): + yield f"{event.type}\n\n" diff --git a/tests/fastapi/test_streaming_context.py b/tests/fastapi/test_streaming_context.py new file mode 100644 index 000000000..ee13045e4 --- /dev/null +++ b/tests/fastapi/test_streaming_context.py @@ -0,0 +1,29 @@ +import pytest +from httpx import ASGITransport, AsyncClient +from inline_snapshot import snapshot + +from ..fake_model import FakeModel +from ..test_responses import get_text_message +from .streaming_app import agent, app + + +@pytest.mark.asyncio +async def test_streaming_context(): + """This ensures that FastAPI streaming works. The context for this test is that the Runner + method was called in one async context, and the streaming was ended in another context, + leading to a tracing error because the context was closed in the wrong context. This test + ensures that this actually works. + """ + model = FakeModel() + agent.model = model + model.set_next_output([get_text_message("done")]) + + transport = ASGITransport(app) + async with AsyncClient(transport=transport, base_url="http://test") as ac: + async with ac.stream("POST", "/stream") as r: + assert r.status_code == 200 + body = (await r.aread()).decode("utf-8") + lines = [line for line in body.splitlines() if line] + assert lines == snapshot( + ["agent_updated_stream_event", "raw_response_event", "run_item_stream_event"] + ) diff --git a/uv.lock b/uv.lock index 24d089a50..3ee65d21a 100644 --- a/uv.lock +++ b/uv.lock @@ -483,6 +483,20 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/7b/8f/c4d9bafc34ad7ad5d8dc16dd1347ee0e507a52c3adb6bfa8887e1c6a26ba/executing-2.2.0-py2.py3-none-any.whl", hash = "sha256:11387150cad388d62750327a53d3339fad4888b39a6fe233c3afbb54ecffd3aa", size = 26702 }, ] +[[package]] +name = "fastapi" +version = "0.115.12" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "pydantic" }, + { name = "starlette" }, + { name = "typing-extensions" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/f4/55/ae499352d82338331ca1e28c7f4a63bfd09479b16395dce38cf50a39e2c2/fastapi-0.115.12.tar.gz", hash = "sha256:1e2c2a2646905f9e83d32f04a3f86aff4a286669c6c950ca95b5fd68c2602681", size = 295236 } +wheels = [ + { url = "https://files.pythonhosted.org/packages/50/b3/b51f09c2ba432a576fe63758bddc81f78f0c6309d9e5c10d194313bf021e/fastapi-0.115.12-py3-none-any.whl", hash = "sha256:e94613d6c05e27be7ffebdd6ea5f388112e5e430c8f7d6494a9d1d88d43e814d", size = 95164 }, +] + [[package]] name = "filelock" version = "3.18.0" @@ -1496,6 +1510,7 @@ voice = [ dev = [ { name = "coverage" }, { name = "eval-type-backport" }, + { name = "fastapi" }, { name = "graphviz" }, { name = "inline-snapshot" }, { name = "mkdocs" }, @@ -1536,6 +1551,7 @@ provides-extras = ["voice", "viz", "litellm"] dev = [ { name = "coverage", specifier = ">=7.6.12" }, { name = "eval-type-backport", specifier = ">=0.2.2" }, + { name = "fastapi", specifier = ">=0.110.0,<1" }, { name = "graphviz" }, { name = "inline-snapshot", specifier = ">=0.20.7" }, { name = "mkdocs", specifier = ">=1.6.0" }, @@ -2474,7 +2490,8 @@ name = "starlette" version = "0.46.2" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "anyio", marker = "python_full_version >= '3.10'" }, + { name = "anyio" }, + { name = "typing-extensions", marker = "python_full_version < '3.10'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/ce/20/08dfcd9c983f6a6f4a1000d934b9e6d626cff8d2eeb77a89a68eef20a2b7/starlette-0.46.2.tar.gz", hash = "sha256:7f7361f34eed179294600af672f565727419830b54b7b084efe44bb82d2fccd5", size = 2580846 } wheels = [ From 8e30b01ed8b4d0ca33ec8c5cda8862a8d4cbe1d5 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Thu, 17 Apr 2025 13:53:09 -0400 Subject: [PATCH 086/337] Enable non-strict output types --- examples/basic/non_strict_output_type.py | 46 ++++++++++++++++++++++++ src/agents/agent.py | 8 +++++ src/agents/agent_output.py | 9 ++++- src/agents/run.py | 2 +- 4 files changed, 63 insertions(+), 2 deletions(-) create mode 100644 examples/basic/non_strict_output_type.py diff --git a/examples/basic/non_strict_output_type.py b/examples/basic/non_strict_output_type.py new file mode 100644 index 000000000..e79860fdb --- /dev/null +++ b/examples/basic/non_strict_output_type.py @@ -0,0 +1,46 @@ +import asyncio +from dataclasses import dataclass + +from agents import Agent, Runner + +"""This example demonstrates how to use an output type that is not in strict mode. Strict mode +allows us to guarantee valid JSON output, but some schemas are not strict-compatible. + +In this example, we define an output type that is not strict-compatible, and then we run the +agent with strict_json_schema=False. + +To understand which schemas are strict-compatible, see: +https://platform.openai.com/docs/guides/structured-outputs?api-mode=responses#supported-schemas +""" + + +@dataclass +class OutputType: + jokes: dict[int, str] + """A list of jokes, indexed by joke number.""" + + +async def main(): + agent = Agent( + name="Assistant", + instructions="You are a helpful assistant.", + output_type=OutputType, + ) + + input = "Tell me 3 short jokes." + + # First, let's try with a strict output type. This should raise an exception. + try: + result = await Runner.run(agent, input) + raise AssertionError("Should have raised an exception") + except Exception as e: + print(f"Error: {e}") + + # Now let's try again with a non-strict output type. This should work. + agent.output_schema_strict = False + result = await Runner.run(agent, input) + print(result.final_output) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/src/agents/agent.py b/src/agents/agent.py index a24456b06..46cb09d30 100644 --- a/src/agents/agent.py +++ b/src/agents/agent.py @@ -144,6 +144,14 @@ class Agent(Generic[TContext]): output_type: type[Any] | None = None """The type of the output object. If not provided, the output will be `str`.""" + output_schema_strict: bool = True + """Whether the output JSON schema passed to the LLM should be strict. + + We **strongly** recommend setting this to True, as it increases the likelihood of correct JSON + being produced. However, for output types that cannot be converted to strict JSON, you can + set this to False. + """ + hooks: AgentHooks[TContext] | None = None """A class that receives callbacks on various lifecycle events for this agent. """ diff --git a/src/agents/agent_output.py b/src/agents/agent_output.py index 3262c57d6..db4704955 100644 --- a/src/agents/agent_output.py +++ b/src/agents/agent_output.py @@ -71,7 +71,14 @@ def __init__(self, output_type: type[Any], strict_json_schema: bool = True): self._output_schema = self._type_adapter.json_schema() if self.strict_json_schema: - self._output_schema = ensure_strict_json_schema(self._output_schema) + try: + self._output_schema = ensure_strict_json_schema(self._output_schema) + except UserError as e: + raise UserError( + "Strict JSON schema is enabled, but the output type is not valid. " + "Either make the output type strict, or pass output_schema_strict=False to " + "your Agent()" + ) from e def is_plain_text(self) -> bool: """Whether the output type is plain text (versus a JSON object).""" diff --git a/src/agents/run.py b/src/agents/run.py index e2b0dbceb..0bb356cfb 100644 --- a/src/agents/run.py +++ b/src/agents/run.py @@ -934,7 +934,7 @@ def _get_output_schema(cls, agent: Agent[Any]) -> AgentOutputSchema | None: if agent.output_type is None or agent.output_type is str: return None - return AgentOutputSchema(agent.output_type) + return AgentOutputSchema(agent.output_type, strict_json_schema=agent.output_schema_strict) @classmethod def _get_handoffs(cls, agent: Agent[Any]) -> list[Handoff]: From b536ca84b7469bb312ce29b5531cf8b3eab0a9a1 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Sat, 19 Apr 2025 21:34:47 -0400 Subject: [PATCH 087/337] Examples for image inputs --- examples/basic/local_image.py | 48 +++++++++++++++++++++++++++ examples/basic/media/image_bison.jpg | Bin 0 -> 235620 bytes examples/basic/remote_image.py | 31 +++++++++++++++++ 3 files changed, 79 insertions(+) create mode 100644 examples/basic/local_image.py create mode 100644 examples/basic/media/image_bison.jpg create mode 100644 examples/basic/remote_image.py diff --git a/examples/basic/local_image.py b/examples/basic/local_image.py new file mode 100644 index 000000000..d4a784ba2 --- /dev/null +++ b/examples/basic/local_image.py @@ -0,0 +1,48 @@ +import asyncio +import base64 +import os + +from agents import Agent, Runner + +FILEPATH = os.path.join(os.path.dirname(__file__), "media/image_bison.jpg") + + +def image_to_base64(image_path): + with open(image_path, "rb") as image_file: + encoded_string = base64.b64encode(image_file.read()).decode("utf-8") + return encoded_string + + +async def main(): + # Print base64-encoded image + b64_image = image_to_base64(FILEPATH) + + agent = Agent( + name="Assistant", + instructions="You are a helpful assistant.", + ) + + result = await Runner.run( + agent, + [ + { + "role": "user", + "content": [ + { + "type": "input_image", + "detail": "auto", + "image_url": f"data:image/jpeg;base64,{b64_image}", + } + ], + }, + { + "role": "user", + "content": "What do you see in this image?", + }, + ], + ) + print(result.final_output) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/examples/basic/media/image_bison.jpg b/examples/basic/media/image_bison.jpg new file mode 100644 index 0000000000000000000000000000000000000000..b113c91f601eac2369c4b859b18f86a24a228d89 GIT binary patch literal 235620 zcmbSy2|Scv_xLjgBfAiLL7Hi4cAZ2MN zvSrt#ku4$1f9kuu-}n8!pWo;A`CoINInRC0Irl90x#!$_$HBOk_pVJHor1gZWFuhAX(7tbVjfc_7jpkI9hIu71G-hW($bYNV|Q1#Kz|<}FJYyV%ED6T+`XNBf&<`yyc|*)EvG>H z2qP8Hr%-65JYZ^$6P6V|?GWVdENtl#5a=G{0{|j%d4Fj`mm7EIZ@4&F^k0%DOa2Kv z133blm74ashbRcw|~9~`Lkb|A8sD{6XvAB%zxvo+|2mh7g*&Kt^MY|;NrhzL(0h& zgZ`wY*|eDMFZscri@|@vbouw#|K_=MkK->G4BX@Vla}V~(!co7lqjY97td1gKVZf` 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+

Realtime Demo

+ +
+ +
+
+
+ Conversation +
+
+ +
+
+ + Disconnected +
+
+ +
+
+ Event stream +
+
+ +
+
+
+ + + + \ No newline at end of file diff --git a/examples/realtime/demo.py b/examples/realtime/cli/demo.py similarity index 100% rename from examples/realtime/demo.py rename to examples/realtime/cli/demo.py diff --git a/examples/realtime/no_ui_demo.py b/examples/realtime/cli/no_ui_demo.py similarity index 100% rename from examples/realtime/no_ui_demo.py rename to examples/realtime/cli/no_ui_demo.py diff --git a/examples/realtime/ui.py b/examples/realtime/cli/ui.py similarity index 100% rename from examples/realtime/ui.py rename to examples/realtime/cli/ui.py From d924184731519e61cbf079ae9dd74f662a58b513 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 16 Jul 2025 11:44:54 -0400 Subject: [PATCH 252/337] MCP: add support for tool_result.structuredContent --- pyproject.toml | 2 +- src/agents/mcp/server.py | 39 +++++++++++++++++++++++++++++++++++++++ src/agents/mcp/util.py | 10 +++++++++- uv.lock | 35 +++++++++++++++++++++++++++++++---- 4 files changed, 80 insertions(+), 6 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index df6915c35..ba0fd60d2 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -13,7 +13,7 @@ dependencies = [ "typing-extensions>=4.12.2, <5", "requests>=2.0, <3", "types-requests>=2.0, <3", - "mcp>=1.9.4, <2; python_version >= '3.10'", + "mcp>=1.11.0, <2; python_version >= '3.10'", ] classifiers = [ "Typing :: Typed", diff --git a/src/agents/mcp/server.py b/src/agents/mcp/server.py index 91a9274fc..66332549c 100644 --- a/src/agents/mcp/server.py +++ b/src/agents/mcp/server.py @@ -28,6 +28,17 @@ class MCPServer(abc.ABC): """Base class for Model Context Protocol servers.""" + def __init__(self, use_structured_content: bool = False): + """ + Args: + use_structured_content: Whether to use `tool_result.structured_content` when calling an + MCP tool.Defaults to False for backwards compatibility - most MCP servers still + include the structured content in the `tool_result.content`, and using it by + default will cause duplicate content. You can set this to True if you know the + server will not duplicate the structured content in the `tool_result.content`. + """ + self.use_structured_content = use_structured_content + @abc.abstractmethod async def connect(self): """Connect to the server. For example, this might mean spawning a subprocess or @@ -86,6 +97,7 @@ def __init__( cache_tools_list: bool, client_session_timeout_seconds: float | None, tool_filter: ToolFilter = None, + use_structured_content: bool = False, ): """ Args: @@ -98,7 +110,13 @@ def __init__( client_session_timeout_seconds: the read timeout passed to the MCP ClientSession. tool_filter: The tool filter to use for filtering tools. + use_structured_content: Whether to use `tool_result.structured_content` when calling an + MCP tool. Defaults to False for backwards compatibility - most MCP servers still + include the structured content in the `tool_result.content`, and using it by + default will cause duplicate content. You can set this to True if you know the + server will not duplicate the structured content in the `tool_result.content`. """ + super().__init__(use_structured_content=use_structured_content) self.session: ClientSession | None = None self.exit_stack: AsyncExitStack = AsyncExitStack() self._cleanup_lock: asyncio.Lock = asyncio.Lock() @@ -346,6 +364,7 @@ def __init__( name: str | None = None, client_session_timeout_seconds: float | None = 5, tool_filter: ToolFilter = None, + use_structured_content: bool = False, ): """Create a new MCP server based on the stdio transport. @@ -364,11 +383,17 @@ def __init__( command. client_session_timeout_seconds: the read timeout passed to the MCP ClientSession. tool_filter: The tool filter to use for filtering tools. + use_structured_content: Whether to use `tool_result.structured_content` when calling an + MCP tool. Defaults to False for backwards compatibility - most MCP servers still + include the structured content in the `tool_result.content`, and using it by + default will cause duplicate content. You can set this to True if you know the + server will not duplicate the structured content in the `tool_result.content`. """ super().__init__( cache_tools_list, client_session_timeout_seconds, tool_filter, + use_structured_content, ) self.params = StdioServerParameters( @@ -429,6 +454,7 @@ def __init__( name: str | None = None, client_session_timeout_seconds: float | None = 5, tool_filter: ToolFilter = None, + use_structured_content: bool = False, ): """Create a new MCP server based on the HTTP with SSE transport. @@ -449,11 +475,17 @@ def __init__( client_session_timeout_seconds: the read timeout passed to the MCP ClientSession. tool_filter: The tool filter to use for filtering tools. + use_structured_content: Whether to use `tool_result.structured_content` when calling an + MCP tool. Defaults to False for backwards compatibility - most MCP servers still + include the structured content in the `tool_result.content`, and using it by + default will cause duplicate content. You can set this to True if you know the + server will not duplicate the structured content in the `tool_result.content`. """ super().__init__( cache_tools_list, client_session_timeout_seconds, tool_filter, + use_structured_content, ) self.params = params @@ -514,6 +546,7 @@ def __init__( name: str | None = None, client_session_timeout_seconds: float | None = 5, tool_filter: ToolFilter = None, + use_structured_content: bool = False, ): """Create a new MCP server based on the Streamable HTTP transport. @@ -535,11 +568,17 @@ def __init__( client_session_timeout_seconds: the read timeout passed to the MCP ClientSession. tool_filter: The tool filter to use for filtering tools. + use_structured_content: Whether to use `tool_result.structured_content` when calling an + MCP tool. Defaults to False for backwards compatibility - most MCP servers still + include the structured content in the `tool_result.content`, and using it by + default will cause duplicate content. You can set this to True if you know the + server will not duplicate the structured content in the `tool_result.content`. """ super().__init__( cache_tools_list, client_session_timeout_seconds, tool_filter, + use_structured_content, ) self.params = params diff --git a/src/agents/mcp/util.py b/src/agents/mcp/util.py index 18cf4440a..bf09b8767 100644 --- a/src/agents/mcp/util.py +++ b/src/agents/mcp/util.py @@ -198,8 +198,16 @@ async def invoke_mcp_tool( # string. We'll try to convert. if len(result.content) == 1: tool_output = result.content[0].model_dump_json() + # Append structured content if it exists and we're using it. + if server.use_structured_content and result.structuredContent: + tool_output = f"{tool_output}\n{json.dumps(result.structuredContent)}" elif len(result.content) > 1: - tool_output = json.dumps([item.model_dump(mode="json") for item in result.content]) + tool_results = [item.model_dump(mode="json") for item in result.content] + if server.use_structured_content and result.structuredContent: + tool_results.append(result.structuredContent) + tool_output = json.dumps(tool_results) + elif server.use_structured_content and result.structuredContent: + tool_output = json.dumps(result.structuredContent) else: logger.error(f"Errored MCP tool result: {result}") tool_output = "Error running tool." diff --git a/uv.lock b/uv.lock index 918c3d0be..1427afd24 100644 --- a/uv.lock +++ b/uv.lock @@ -1047,22 +1047,24 @@ wheels = [ [[package]] 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From: Rohan Mehta Date: Wed, 16 Jul 2025 11:29:35 -0400 Subject: [PATCH 253/337] Realtime: web demo Add a web demo that uses a fastapi backend. Also remove the CLI UI demo. --- examples/realtime/app/README.md | 50 ++ examples/realtime/app/server.py | 172 +++++++ examples/realtime/app/static/app.js | 467 ++++++++++++++++++ examples/realtime/app/static/index.html | 295 +++++++++++ .../realtime/{no_ui_demo.py => cli/demo.py} | 0 examples/realtime/{ => cli}/ui.py | 0 examples/realtime/demo.py | 117 ----- tests/realtime/test_conversion_helpers.py | 4 +- 8 files changed, 986 insertions(+), 119 deletions(-) create mode 100644 examples/realtime/app/README.md create mode 100644 examples/realtime/app/server.py create mode 100644 examples/realtime/app/static/app.js create mode 100644 examples/realtime/app/static/index.html rename examples/realtime/{no_ui_demo.py => cli/demo.py} (100%) rename examples/realtime/{ => cli}/ui.py (100%) delete mode 100644 examples/realtime/demo.py diff --git a/examples/realtime/app/README.md b/examples/realtime/app/README.md new file mode 100644 index 000000000..fba5245e4 --- /dev/null +++ b/examples/realtime/app/README.md @@ -0,0 +1,50 @@ +# Realtime Demo App + +A web-based realtime voice assistant demo with a FastAPI backend and clean HTML/JS frontend. + +## Features + +- **Connect/Disconnect**: Simple button to establish realtime session +- **Two-pane Interface**: + - Left pane: Message thread showing conversation transcript with user/assistant alignment + - Right pane: Raw transport events display with collapsible event details +- **Voice Input**: Continuous microphone capture with mute/unmute control +- **Audio Playback**: Real-time audio output from the assistant +- **Clean UI**: Elegant, responsive design with smooth interactions + +## Installation + +Install the required dependencies: + +```bash +uv add fastapi uvicorn websockets +``` + +## Usage + +Start the application with a single command: + +```bash +cd examples/realtime/app && uv run python server.py +``` + +Then open your browser to: http://localhost:8000 + +## How to Use + +1. Click **Connect** to establish a realtime session +2. Audio capture starts automatically - just speak naturally +3. Click the **Mic On/Off** button to mute/unmute your microphone +4. Watch the conversation unfold in the left pane +5. Monitor raw events in the right pane (click to expand/collapse) +6. Click **Disconnect** when done + +## Architecture + +- **Backend**: FastAPI server with WebSocket connections for real-time communication +- **Session Management**: Each connection gets a unique session with the OpenAI Realtime API +- **Audio Processing**: 24kHz mono audio capture and playback +- **Event Handling**: Full event stream processing with transcript generation +- **Frontend**: Vanilla JavaScript with clean, responsive CSS + +The demo showcases the core patterns for building realtime voice applications with the OpenAI Agents SDK. \ No newline at end of file diff --git a/examples/realtime/app/server.py b/examples/realtime/app/server.py new file mode 100644 index 000000000..db2cd7bda --- /dev/null +++ b/examples/realtime/app/server.py @@ -0,0 +1,172 @@ +import asyncio +import base64 +import json +import logging +import struct +from contextlib import asynccontextmanager +from typing import Any, assert_never + +from fastapi import FastAPI, WebSocket, WebSocketDisconnect +from fastapi.responses import FileResponse +from fastapi.staticfiles import StaticFiles + +from agents import function_tool +from agents.realtime import RealtimeAgent, RealtimeRunner, RealtimeSession, RealtimeSessionEvent + +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + + +@function_tool +def get_weather(city: str) -> str: + """Get the weather in a city.""" + return f"The weather in {city} is sunny." + + +@function_tool +def get_secret_number() -> int: + """Returns the secret number, if the user asks for it.""" + return 71 + + +haiku_agent = RealtimeAgent( + name="Haiku Agent", + instructions="You are a haiku poet. You must respond ONLY in traditional haiku format (5-7-5 syllables). Every response should be a proper haiku about the topic. Do not break character.", + tools=[], +) + +agent = RealtimeAgent( + name="Assistant", + instructions="If the user wants poetry or haikus, you can hand them off to the haiku agent via the transfer_to_haiku_agent tool.", + tools=[get_weather, get_secret_number], + handoffs=[haiku_agent], +) + + +class RealtimeWebSocketManager: + def __init__(self): + self.active_sessions: dict[str, RealtimeSession] = {} + self.session_contexts: dict[str, Any] = {} + self.websockets: dict[str, WebSocket] = {} + + async def connect(self, websocket: WebSocket, session_id: str): + await websocket.accept() + self.websockets[session_id] = websocket + + runner = RealtimeRunner(agent) + session_context = await runner.run() + session = await session_context.__aenter__() + self.active_sessions[session_id] = session + self.session_contexts[session_id] = session_context + + # Start event processing task + asyncio.create_task(self._process_events(session_id)) + + async def disconnect(self, session_id: str): + if session_id in self.session_contexts: + await self.session_contexts[session_id].__aexit__(None, None, None) + del self.session_contexts[session_id] + if session_id in self.active_sessions: + del self.active_sessions[session_id] + if session_id in self.websockets: + del self.websockets[session_id] + + async def send_audio(self, session_id: str, audio_bytes: bytes): + if session_id in self.active_sessions: + await self.active_sessions[session_id].send_audio(audio_bytes) + + async def _process_events(self, session_id: str): + try: + session = self.active_sessions[session_id] + websocket = self.websockets[session_id] + + async for event in session: + event_data = await self._serialize_event(event) + await websocket.send_text(json.dumps(event_data)) + except Exception as e: + logger.error(f"Error processing events for session {session_id}: {e}") + + async def _serialize_event(self, event: RealtimeSessionEvent) -> dict[str, Any]: + base_event: dict[str, Any] = { + "type": event.type, + } + + if event.type == "agent_start": + base_event["agent"] = event.agent.name + elif event.type == "agent_end": + base_event["agent"] = event.agent.name + elif event.type == "handoff": + base_event["from"] = event.from_agent.name + base_event["to"] = event.to_agent.name + elif event.type == "tool_start": + base_event["tool"] = event.tool.name + elif event.type == "tool_end": + base_event["tool"] = event.tool.name + base_event["output"] = str(event.output) + elif event.type == "audio": + base_event["audio"] = base64.b64encode(event.audio.data).decode("utf-8") + elif event.type == "audio_interrupted": + pass + elif event.type == "audio_end": + pass + elif event.type == "history_updated": + base_event["history"] = [item.model_dump(mode="json") for item in event.history] + elif event.type == "history_added": + pass + elif event.type == "guardrail_tripped": + base_event["guardrail_results"] = [ + {"name": result.guardrail.name} for result in event.guardrail_results + ] + elif event.type == "raw_model_event": + base_event["raw_model_event"] = { + "type": event.data.type, + } + elif event.type == "error": + base_event["error"] = str(event.error) if hasattr(event, "error") else "Unknown error" + else: + assert_never(event) + + return base_event + + +manager = RealtimeWebSocketManager() + + +@asynccontextmanager +async def lifespan(app: FastAPI): + yield + + +app = FastAPI(lifespan=lifespan) + + +@app.websocket("/ws/{session_id}") +async def websocket_endpoint(websocket: WebSocket, session_id: str): + await manager.connect(websocket, session_id) + try: + while True: + data = await websocket.receive_text() + message = json.loads(data) + + if message["type"] == "audio": + # Convert int16 array to bytes + int16_data = message["data"] + audio_bytes = struct.pack(f"{len(int16_data)}h", *int16_data) + await manager.send_audio(session_id, audio_bytes) + + except WebSocketDisconnect: + await manager.disconnect(session_id) + + +app.mount("/", StaticFiles(directory="static", html=True), name="static") + + +@app.get("/") +async def read_index(): + return FileResponse("static/index.html") + + +if __name__ == "__main__": + import uvicorn + + uvicorn.run(app, host="0.0.0.0", port=8000) diff --git a/examples/realtime/app/static/app.js b/examples/realtime/app/static/app.js new file mode 100644 index 000000000..3ec8fcc99 --- /dev/null +++ b/examples/realtime/app/static/app.js @@ -0,0 +1,467 @@ +class RealtimeDemo { + constructor() { + this.ws = null; + this.isConnected = false; + this.isMuted = false; + this.isCapturing = false; + this.audioContext = null; + this.processor = null; + this.stream = null; + this.sessionId = this.generateSessionId(); + + // Audio playback queue + this.audioQueue = []; + this.isPlayingAudio = false; + this.playbackAudioContext = null; + this.currentAudioSource = null; + + this.initializeElements(); + this.setupEventListeners(); + } + + initializeElements() { + this.connectBtn = document.getElementById('connectBtn'); + this.muteBtn = document.getElementById('muteBtn'); + this.status = document.getElementById('status'); + this.messagesContent = document.getElementById('messagesContent'); + this.eventsContent = document.getElementById('eventsContent'); + this.toolsContent = document.getElementById('toolsContent'); + } + + setupEventListeners() { + this.connectBtn.addEventListener('click', () => { + if (this.isConnected) { + this.disconnect(); + } else { + this.connect(); + } + }); + + this.muteBtn.addEventListener('click', () => { + this.toggleMute(); + }); + } + + generateSessionId() { + return 'session_' + Math.random().toString(36).substr(2, 9); + } + + async connect() { + try { + this.ws = new WebSocket(`ws://localhost:8000/ws/${this.sessionId}`); + + this.ws.onopen = () => { + this.isConnected = true; + this.updateConnectionUI(); + this.startContinuousCapture(); + }; + + this.ws.onmessage = (event) => { + const data = JSON.parse(event.data); + this.handleRealtimeEvent(data); + }; + + this.ws.onclose = () => { + this.isConnected = false; + this.updateConnectionUI(); + }; + + this.ws.onerror = (error) => { + console.error('WebSocket error:', error); + }; + + } catch (error) { + console.error('Failed to connect:', error); + } + } + + disconnect() { + if (this.ws) { + this.ws.close(); + } + this.stopContinuousCapture(); + } + + updateConnectionUI() { + if (this.isConnected) { + this.connectBtn.textContent = 'Disconnect'; + this.connectBtn.className = 'connect-btn connected'; + this.status.textContent = 'Connected'; + this.status.className = 'status connected'; + this.muteBtn.disabled = false; + } else { + this.connectBtn.textContent = 'Connect'; + this.connectBtn.className = 'connect-btn disconnected'; + this.status.textContent = 'Disconnected'; + this.status.className = 'status disconnected'; + this.muteBtn.disabled = true; + } + } + + toggleMute() { + this.isMuted = !this.isMuted; + this.updateMuteUI(); + } + + updateMuteUI() { + if (this.isMuted) { + this.muteBtn.textContent = '🔇 Mic Off'; + this.muteBtn.className = 'mute-btn muted'; + } else { + this.muteBtn.textContent = '🎤 Mic On'; + this.muteBtn.className = 'mute-btn unmuted'; + if (this.isCapturing) { + this.muteBtn.classList.add('active'); + } + } + } + + async startContinuousCapture() { + if (!this.isConnected || this.isCapturing) return; + + // Check if getUserMedia is available + if (!navigator.mediaDevices || !navigator.mediaDevices.getUserMedia) { + throw new Error('getUserMedia not available. Please use HTTPS or localhost.'); + } + + try { + this.stream = await navigator.mediaDevices.getUserMedia({ + audio: { + sampleRate: 24000, + channelCount: 1, + echoCancellation: true, + noiseSuppression: true + } + }); + + this.audioContext = new AudioContext({ sampleRate: 24000 }); + const source = this.audioContext.createMediaStreamSource(this.stream); + + // Create a script processor to capture audio data + this.processor = this.audioContext.createScriptProcessor(4096, 1, 1); + source.connect(this.processor); + this.processor.connect(this.audioContext.destination); + + this.processor.onaudioprocess = (event) => { + if (!this.isMuted && this.ws && this.ws.readyState === WebSocket.OPEN) { + const inputBuffer = event.inputBuffer.getChannelData(0); + const int16Buffer = new Int16Array(inputBuffer.length); + + // Convert float32 to int16 + for (let i = 0; i < inputBuffer.length; i++) { + int16Buffer[i] = Math.max(-32768, Math.min(32767, inputBuffer[i] * 32768)); + } + + this.ws.send(JSON.stringify({ + type: 'audio', + data: Array.from(int16Buffer) + })); + } + }; + + this.isCapturing = true; + this.updateMuteUI(); + + } catch (error) { + console.error('Failed to start audio capture:', error); + } + } + + stopContinuousCapture() { + if (!this.isCapturing) return; + + this.isCapturing = false; + + if (this.processor) { + this.processor.disconnect(); + this.processor = null; + } + + if (this.audioContext) { + this.audioContext.close(); + this.audioContext = null; + } + + if (this.stream) { + this.stream.getTracks().forEach(track => track.stop()); + this.stream = null; + } + + this.updateMuteUI(); + } + + handleRealtimeEvent(event) { + // Add to raw events pane + this.addRawEvent(event); + + // Add to tools panel if it's a tool or handoff event + if (event.type === 'tool_start' || event.type === 'tool_end' || event.type === 'handoff') { + this.addToolEvent(event); + } + + // Handle specific event types + switch (event.type) { + case 'audio': + this.playAudio(event.audio); + break; + case 'audio_interrupted': + this.stopAudioPlayback(); + break; + case 'history_updated': + this.updateMessagesFromHistory(event.history); + break; + } + } + + + updateMessagesFromHistory(history) { + console.log('updateMessagesFromHistory called with:', history); + + // Clear all existing messages + this.messagesContent.innerHTML = ''; + + // Add messages from history + if (history && Array.isArray(history)) { + console.log('Processing history array with', history.length, 'items'); + history.forEach((item, index) => { + console.log(`History item ${index}:`, item); + if (item.type === 'message') { + const role = item.role; + let content = ''; + + console.log(`Message item - role: ${role}, content:`, item.content); + + if (item.content && Array.isArray(item.content)) { + // Extract text from content array + item.content.forEach(contentPart => { + console.log('Content part:', contentPart); + if (contentPart.type === 'text' && contentPart.text) { + content += contentPart.text; + } else if (contentPart.type === 'input_text' && contentPart.text) { + content += contentPart.text; + } else if (contentPart.type === 'input_audio' && contentPart.transcript) { + content += contentPart.transcript; + } else if (contentPart.type === 'audio' && contentPart.transcript) { + content += contentPart.transcript; + } + }); + } + + console.log(`Final content for ${role}:`, content); + + if (content.trim()) { + this.addMessage(role, content.trim()); + console.log(`Added message: ${role} - ${content.trim()}`); + } + } else { + console.log(`Skipping non-message item of type: ${item.type}`); + } + }); + } else { + console.log('History is not an array or is null/undefined'); + } + + this.scrollToBottom(); + } + + addMessage(type, content) { + const messageDiv = document.createElement('div'); + messageDiv.className = `message ${type}`; + + const bubbleDiv = document.createElement('div'); + bubbleDiv.className = 'message-bubble'; + bubbleDiv.textContent = content; + + messageDiv.appendChild(bubbleDiv); + this.messagesContent.appendChild(messageDiv); + this.scrollToBottom(); + + return messageDiv; + } + + addRawEvent(event) { + const eventDiv = document.createElement('div'); + eventDiv.className = 'event'; + + const headerDiv = document.createElement('div'); + headerDiv.className = 'event-header'; + headerDiv.innerHTML = ` + ${event.type} + ▼ + `; + + const contentDiv = document.createElement('div'); + contentDiv.className = 'event-content collapsed'; + contentDiv.textContent = JSON.stringify(event, null, 2); + + headerDiv.addEventListener('click', () => { + const isCollapsed = contentDiv.classList.contains('collapsed'); + contentDiv.classList.toggle('collapsed'); + headerDiv.querySelector('span:last-child').textContent = isCollapsed ? 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+
+
${title}
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${description}
+
+ ${new Date().toLocaleTimeString()} +
+ `; + + this.toolsContent.appendChild(eventDiv); + + // Auto-scroll tools pane + this.toolsContent.scrollTop = this.toolsContent.scrollHeight; + } + + async playAudio(audioBase64) { + try { + if (!audioBase64 || audioBase64.length === 0) { + console.warn('Received empty audio data, skipping playback'); + return; + } + + // Add to queue + this.audioQueue.push(audioBase64); + + // Start processing queue if not already playing + if (!this.isPlayingAudio) { + this.processAudioQueue(); + } + + } catch (error) { + console.error('Failed to play audio:', error); + } + } + + async processAudioQueue() { + if (this.isPlayingAudio || this.audioQueue.length === 0) { + return; + } + + this.isPlayingAudio = true; + + // Initialize audio context if needed + if (!this.playbackAudioContext) { + this.playbackAudioContext = new AudioContext({ sampleRate: 24000 }); + } + + while (this.audioQueue.length > 0) { + const audioBase64 = this.audioQueue.shift(); + await this.playAudioChunk(audioBase64); + } + + this.isPlayingAudio = false; + } + + async playAudioChunk(audioBase64) { + return new Promise((resolve, reject) => { + try { + // Decode base64 to ArrayBuffer + const binaryString = atob(audioBase64); + const bytes = new Uint8Array(binaryString.length); + for (let i = 0; i < binaryString.length; i++) { + bytes[i] = binaryString.charCodeAt(i); + } + + const int16Array = new Int16Array(bytes.buffer); + + if (int16Array.length === 0) { + console.warn('Audio chunk has no samples, skipping'); + resolve(); + return; + } + + const float32Array = new Float32Array(int16Array.length); + + // Convert int16 to float32 + for (let i = 0; i < int16Array.length; i++) { + float32Array[i] = int16Array[i] / 32768.0; + } + + const audioBuffer = this.playbackAudioContext.createBuffer(1, float32Array.length, 24000); + audioBuffer.getChannelData(0).set(float32Array); + + const source = this.playbackAudioContext.createBufferSource(); + source.buffer = audioBuffer; + source.connect(this.playbackAudioContext.destination); + + // Store reference to current source + this.currentAudioSource = source; + + source.onended = () => { + this.currentAudioSource = null; + resolve(); + }; + source.start(); + + } catch (error) { + console.error('Failed to play audio chunk:', error); + reject(error); + } + }); + } + + stopAudioPlayback() { + console.log('Stopping audio playback due to interruption'); + + // Stop current audio source if playing + if (this.currentAudioSource) { + try { + this.currentAudioSource.stop(); + this.currentAudioSource = null; + } catch (error) { + console.error('Error stopping audio source:', error); + } + } + + // Clear the audio queue + this.audioQueue = []; + + // Reset playback state + this.isPlayingAudio = false; + + console.log('Audio playback stopped and queue cleared'); + } + + scrollToBottom() { + this.messagesContent.scrollTop = this.messagesContent.scrollHeight; + } +} + +// Initialize the demo when the page loads +document.addEventListener('DOMContentLoaded', () => { + new RealtimeDemo(); +}); \ No newline at end of file diff --git a/examples/realtime/app/static/index.html b/examples/realtime/app/static/index.html new file mode 100644 index 000000000..fbd0de46d --- /dev/null +++ b/examples/realtime/app/static/index.html @@ -0,0 +1,295 @@ + + + + + + Realtime Demo + + + +
+

Realtime Demo

+ +
+ +
+
+
+ Conversation +
+
+ +
+
+ + Disconnected +
+
+ +
+
+
+ Event stream +
+
+ +
+
+ +
+
+ Tools & Handoffs +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/examples/realtime/no_ui_demo.py b/examples/realtime/cli/demo.py similarity index 100% rename from examples/realtime/no_ui_demo.py rename to examples/realtime/cli/demo.py diff --git a/examples/realtime/ui.py b/examples/realtime/cli/ui.py similarity index 100% rename from examples/realtime/ui.py rename to examples/realtime/cli/ui.py diff --git a/examples/realtime/demo.py b/examples/realtime/demo.py deleted file mode 100644 index 65ca63f27..000000000 --- a/examples/realtime/demo.py +++ /dev/null @@ -1,117 +0,0 @@ -import asyncio -import os -import sys -from typing import TYPE_CHECKING - -import numpy as np - -from agents.realtime import RealtimeSession - -# Add the current directory to path so we can import ui -sys.path.append(os.path.dirname(os.path.abspath(__file__))) - -from agents import function_tool -from agents.realtime import RealtimeAgent, RealtimeRunner, RealtimeSessionEvent - -if TYPE_CHECKING: - from .ui import AppUI -else: - # Try both import styles - try: - # Try relative import first (when used as a package) - from .ui import AppUI - except ImportError: - # Fall back to direct import (when run as a script) - from ui import AppUI - - -@function_tool -def get_weather(city: str) -> str: - """Get the weather in a city.""" - return f"The weather in {city} is sunny." - - -agent = RealtimeAgent( - name="Assistant", - instructions="You always greet the user with 'Top of the morning to you'.", - tools=[get_weather], -) - - -def _truncate_str(s: str, max_length: int) -> str: - if len(s) > max_length: - return s[:max_length] + "..." - return s - - -class Example: - def __init__(self) -> None: - self.ui = AppUI() - self.ui.connected = asyncio.Event() - self.ui.last_audio_item_id = None - # Set the audio callback - self.ui.set_audio_callback(self.on_audio_recorded) - - self.session: RealtimeSession | None = None - - async def run(self) -> None: - # Start UI in a separate task instead of waiting for it to complete - ui_task = asyncio.create_task(self.ui.run_async()) - - # Set up session immediately without waiting for UI to finish - runner = RealtimeRunner(agent) - async with await runner.run() as session: - self.session = session - self.ui.set_is_connected(True) - async for event in session: - await self._on_event(event) - print("done") - - # Wait for UI task to complete when session ends - await ui_task - - async def on_audio_recorded(self, audio_bytes: bytes) -> None: - # Send the audio to the session - assert self.session is not None - await self.session.send_audio(audio_bytes) - - async def _on_event(self, event: RealtimeSessionEvent) -> None: - try: - if event.type == "agent_start": - self.ui.add_transcript(f"Agent started: {event.agent.name}") - elif event.type == "agent_end": - self.ui.add_transcript(f"Agent ended: {event.agent.name}") - elif event.type == "handoff": - self.ui.add_transcript( - f"Handoff from {event.from_agent.name} to {event.to_agent.name}" - ) - elif event.type == "tool_start": - self.ui.add_transcript(f"Tool started: {event.tool.name}") - elif event.type == "tool_end": - self.ui.add_transcript(f"Tool ended: {event.tool.name}; output: {event.output}") - elif event.type == "audio_end": - self.ui.add_transcript("Audio ended") - elif event.type == "audio": - np_audio = np.frombuffer(event.audio.data, dtype=np.int16) - # Play audio in a separate thread to avoid blocking the event loop - await asyncio.to_thread(self.ui.play_audio, np_audio) - elif event.type == "audio_interrupted": - self.ui.add_transcript("Audio interrupted") - elif event.type == "error": - pass - elif event.type == "history_updated": - pass - elif event.type == "history_added": - pass - elif event.type == "raw_model_event": - if event.data.type != "error" and event.data.type != "exception": - self.ui.log_message(f"Raw model event: {event.data}") - else: - self.ui.log_message(f"Unknown event type: {event.type}") - except Exception as e: - self.ui.log_message(f"Error processing event: {_truncate_str(str(e), 50)}") - - -if __name__ == "__main__": - example = Example() - asyncio.run(example.run()) diff --git a/tests/realtime/test_conversion_helpers.py b/tests/realtime/test_conversion_helpers.py index 2264407c9..859813edd 100644 --- a/tests/realtime/test_conversion_helpers.py +++ b/tests/realtime/test_conversion_helpers.py @@ -178,7 +178,7 @@ def test_convert_user_input_to_conversation_item_dict(self): "content": [ {"type": "input_text", "text": "Hello"}, {"type": "input_text", "text": "World"}, - ] + ], } event = RealtimeModelSendUserInput(user_input=user_input_dict) @@ -199,7 +199,7 @@ def test_convert_user_input_to_conversation_item_dict_empty_content(self): user_input_dict: RealtimeModelUserInputMessage = { "type": "message", "role": "user", - "content": [] + "content": [], } event = RealtimeModelSendUserInput(user_input=user_input_dict) From e34cb380cde7d1134aa662ee9130a3bf987e1bb0 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 16 Jul 2025 11:29:35 -0400 Subject: [PATCH 254/337] Realtime: web demo Add a web demo that uses a fastapi backend. Also remove the CLI UI demo. --- examples/realtime/app/README.md | 40 ++ examples/realtime/app/server.py | 172 +++++++ examples/realtime/app/static/app.js | 467 ++++++++++++++++++ examples/realtime/app/static/index.html | 295 +++++++++++ .../realtime/{no_ui_demo.py => cli/demo.py} | 0 examples/realtime/{ => cli}/ui.py | 0 examples/realtime/demo.py | 117 ----- tests/realtime/test_conversion_helpers.py | 4 +- 8 files changed, 976 insertions(+), 119 deletions(-) create mode 100644 examples/realtime/app/README.md create mode 100644 examples/realtime/app/server.py create mode 100644 examples/realtime/app/static/app.js create mode 100644 examples/realtime/app/static/index.html rename examples/realtime/{no_ui_demo.py => cli/demo.py} (100%) rename examples/realtime/{ => cli}/ui.py (100%) delete mode 100644 examples/realtime/demo.py diff --git a/examples/realtime/app/README.md b/examples/realtime/app/README.md new file mode 100644 index 000000000..3a7176707 --- /dev/null +++ b/examples/realtime/app/README.md @@ -0,0 +1,40 @@ +# Realtime Demo App + +A web-based realtime voice assistant demo with a FastAPI backend and HTML/JS frontend. + +## Installation + +Install the required dependencies: + +```bash +uv add fastapi uvicorn websockets +``` + +## Usage + +Start the application with a single command: + +```bash +cd examples/realtime/app && uv run python server.py +``` + +Then open your browser to: http://localhost:8000 + +## How to Use + +1. Click **Connect** to establish a realtime session +2. Audio capture starts automatically - just speak naturally +3. Click the **Mic On/Off** button to mute/unmute your microphone +4. Watch the conversation unfold in the left pane +5. Monitor raw events in the right pane (click to expand/collapse) +6. Click **Disconnect** when done + +## Architecture + +- **Backend**: FastAPI server with WebSocket connections for real-time communication +- **Session Management**: Each connection gets a unique session with the OpenAI Realtime API +- **Audio Processing**: 24kHz mono audio capture and playback +- **Event Handling**: Full event stream processing with transcript generation +- **Frontend**: Vanilla JavaScript with clean, responsive CSS + +The demo showcases the core patterns for building realtime voice applications with the OpenAI Agents SDK. diff --git a/examples/realtime/app/server.py b/examples/realtime/app/server.py new file mode 100644 index 000000000..db2cd7bda --- /dev/null +++ b/examples/realtime/app/server.py @@ -0,0 +1,172 @@ +import asyncio +import base64 +import json +import logging +import struct +from contextlib import asynccontextmanager +from typing import Any, assert_never + +from fastapi import FastAPI, WebSocket, WebSocketDisconnect +from fastapi.responses import FileResponse +from fastapi.staticfiles import StaticFiles + +from agents import function_tool +from agents.realtime import RealtimeAgent, RealtimeRunner, RealtimeSession, RealtimeSessionEvent + +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + + +@function_tool +def get_weather(city: str) -> str: + """Get the weather in a city.""" + return f"The weather in {city} is sunny." + + +@function_tool +def get_secret_number() -> int: + """Returns the secret number, if the user asks for it.""" + return 71 + + +haiku_agent = RealtimeAgent( + name="Haiku Agent", + instructions="You are a haiku poet. You must respond ONLY in traditional haiku format (5-7-5 syllables). Every response should be a proper haiku about the topic. Do not break character.", + tools=[], +) + +agent = RealtimeAgent( + name="Assistant", + instructions="If the user wants poetry or haikus, you can hand them off to the haiku agent via the transfer_to_haiku_agent tool.", + tools=[get_weather, get_secret_number], + handoffs=[haiku_agent], +) + + +class RealtimeWebSocketManager: + def __init__(self): + self.active_sessions: dict[str, RealtimeSession] = {} + self.session_contexts: dict[str, Any] = {} + self.websockets: dict[str, WebSocket] = {} + + async def connect(self, websocket: WebSocket, session_id: str): + await websocket.accept() + self.websockets[session_id] = websocket + + runner = RealtimeRunner(agent) + session_context = await runner.run() + session = await session_context.__aenter__() + self.active_sessions[session_id] = session + self.session_contexts[session_id] = session_context + + # Start event processing task + asyncio.create_task(self._process_events(session_id)) + + async def disconnect(self, session_id: str): + if session_id in self.session_contexts: + await self.session_contexts[session_id].__aexit__(None, None, None) + del self.session_contexts[session_id] + if session_id in self.active_sessions: + del self.active_sessions[session_id] + if session_id in self.websockets: + del self.websockets[session_id] + + async def send_audio(self, session_id: str, audio_bytes: bytes): + if session_id in self.active_sessions: + await self.active_sessions[session_id].send_audio(audio_bytes) + + async def _process_events(self, session_id: str): + try: + session = self.active_sessions[session_id] + websocket = self.websockets[session_id] + + async for event in session: + event_data = await self._serialize_event(event) + await websocket.send_text(json.dumps(event_data)) + except Exception as e: + logger.error(f"Error processing events for session {session_id}: {e}") + + async def _serialize_event(self, event: RealtimeSessionEvent) -> dict[str, Any]: + base_event: dict[str, Any] = { + "type": event.type, + } + + if event.type == "agent_start": + base_event["agent"] = event.agent.name + elif event.type == "agent_end": + base_event["agent"] = event.agent.name + elif event.type == "handoff": + base_event["from"] = event.from_agent.name + base_event["to"] = event.to_agent.name + elif event.type == "tool_start": + base_event["tool"] = event.tool.name + elif event.type == "tool_end": + base_event["tool"] = event.tool.name + base_event["output"] = str(event.output) + elif event.type == "audio": + base_event["audio"] = base64.b64encode(event.audio.data).decode("utf-8") + elif event.type == "audio_interrupted": + pass + elif event.type == "audio_end": + pass + elif event.type == "history_updated": + base_event["history"] = [item.model_dump(mode="json") for item in event.history] + elif event.type == "history_added": + pass + elif event.type == "guardrail_tripped": + base_event["guardrail_results"] = [ + {"name": result.guardrail.name} for result in event.guardrail_results + ] + elif event.type == "raw_model_event": + base_event["raw_model_event"] = { + "type": event.data.type, + } + elif event.type == "error": + base_event["error"] = str(event.error) if hasattr(event, "error") else "Unknown error" + else: + assert_never(event) + + return base_event + + +manager = RealtimeWebSocketManager() + + +@asynccontextmanager +async def lifespan(app: FastAPI): + yield + + +app = FastAPI(lifespan=lifespan) + + +@app.websocket("/ws/{session_id}") +async def websocket_endpoint(websocket: WebSocket, session_id: str): + await manager.connect(websocket, session_id) + try: + while True: + data = await websocket.receive_text() + message = json.loads(data) + + if message["type"] == "audio": + # Convert int16 array to bytes + int16_data = message["data"] + audio_bytes = struct.pack(f"{len(int16_data)}h", *int16_data) + await manager.send_audio(session_id, audio_bytes) + + except WebSocketDisconnect: + await manager.disconnect(session_id) + + +app.mount("/", StaticFiles(directory="static", html=True), name="static") + + +@app.get("/") +async def read_index(): + return FileResponse("static/index.html") + + +if __name__ == "__main__": + import uvicorn + + uvicorn.run(app, host="0.0.0.0", port=8000) diff --git a/examples/realtime/app/static/app.js b/examples/realtime/app/static/app.js new file mode 100644 index 000000000..3ec8fcc99 --- /dev/null +++ b/examples/realtime/app/static/app.js @@ -0,0 +1,467 @@ +class RealtimeDemo { + constructor() { + this.ws = null; + this.isConnected = false; + this.isMuted = false; + this.isCapturing = false; + this.audioContext = null; + this.processor = null; + this.stream = null; + this.sessionId = this.generateSessionId(); + + // Audio playback queue + this.audioQueue = []; + this.isPlayingAudio = false; + this.playbackAudioContext = null; + this.currentAudioSource = null; + + this.initializeElements(); + this.setupEventListeners(); + } + + initializeElements() { + this.connectBtn = document.getElementById('connectBtn'); + this.muteBtn = document.getElementById('muteBtn'); + this.status = document.getElementById('status'); + this.messagesContent = document.getElementById('messagesContent'); + this.eventsContent = document.getElementById('eventsContent'); + this.toolsContent = document.getElementById('toolsContent'); + } + + setupEventListeners() { + this.connectBtn.addEventListener('click', () => { + if (this.isConnected) { + this.disconnect(); + } else { + this.connect(); + } + }); + + this.muteBtn.addEventListener('click', () => { + this.toggleMute(); + }); + } + + generateSessionId() { + return 'session_' + Math.random().toString(36).substr(2, 9); + } + + async connect() { + try { + this.ws = new WebSocket(`ws://localhost:8000/ws/${this.sessionId}`); + + this.ws.onopen = () => { + this.isConnected = true; + this.updateConnectionUI(); + this.startContinuousCapture(); + }; + + this.ws.onmessage = (event) => { + const data = JSON.parse(event.data); + this.handleRealtimeEvent(data); + }; + + this.ws.onclose = () => { + this.isConnected = false; + this.updateConnectionUI(); + }; + + this.ws.onerror = (error) => { + console.error('WebSocket error:', error); + }; + + } catch (error) { + console.error('Failed to connect:', error); + } + } + + disconnect() { + if (this.ws) { + this.ws.close(); + } + this.stopContinuousCapture(); + } + + updateConnectionUI() { + if (this.isConnected) { + this.connectBtn.textContent = 'Disconnect'; + this.connectBtn.className = 'connect-btn connected'; + this.status.textContent = 'Connected'; + this.status.className = 'status connected'; + this.muteBtn.disabled = false; + } else { + this.connectBtn.textContent = 'Connect'; + this.connectBtn.className = 'connect-btn disconnected'; + this.status.textContent = 'Disconnected'; + this.status.className = 'status disconnected'; + this.muteBtn.disabled = true; + } + } + + toggleMute() { + this.isMuted = !this.isMuted; + this.updateMuteUI(); + } + + updateMuteUI() { + if (this.isMuted) { + this.muteBtn.textContent = '🔇 Mic Off'; + this.muteBtn.className = 'mute-btn muted'; + } else { + this.muteBtn.textContent = '🎤 Mic On'; + this.muteBtn.className = 'mute-btn unmuted'; + if (this.isCapturing) { + this.muteBtn.classList.add('active'); + } + } + } + + async startContinuousCapture() { + if (!this.isConnected || this.isCapturing) return; + + // Check if getUserMedia is available + if (!navigator.mediaDevices || !navigator.mediaDevices.getUserMedia) { + throw new Error('getUserMedia not available. Please use HTTPS or localhost.'); + } + + try { + this.stream = await navigator.mediaDevices.getUserMedia({ + audio: { + sampleRate: 24000, + channelCount: 1, + echoCancellation: true, + noiseSuppression: true + } + }); + + this.audioContext = new AudioContext({ sampleRate: 24000 }); + const source = this.audioContext.createMediaStreamSource(this.stream); + + // Create a script processor to capture audio data + this.processor = this.audioContext.createScriptProcessor(4096, 1, 1); + source.connect(this.processor); + this.processor.connect(this.audioContext.destination); + + this.processor.onaudioprocess = (event) => { + if (!this.isMuted && this.ws && this.ws.readyState === WebSocket.OPEN) { + const inputBuffer = event.inputBuffer.getChannelData(0); + const int16Buffer = new Int16Array(inputBuffer.length); + + // Convert float32 to int16 + for (let i = 0; i < inputBuffer.length; i++) { + int16Buffer[i] = Math.max(-32768, Math.min(32767, inputBuffer[i] * 32768)); + } + + this.ws.send(JSON.stringify({ + type: 'audio', + data: Array.from(int16Buffer) + })); + } + }; + + this.isCapturing = true; + this.updateMuteUI(); + + } catch (error) { + console.error('Failed to start audio capture:', error); + } + } + + stopContinuousCapture() { + if (!this.isCapturing) return; + + this.isCapturing = false; + + if (this.processor) { + this.processor.disconnect(); + this.processor = null; + } + + if (this.audioContext) { + this.audioContext.close(); + this.audioContext = null; + } + + if (this.stream) { + this.stream.getTracks().forEach(track => track.stop()); + this.stream = null; + } + + this.updateMuteUI(); + } + + handleRealtimeEvent(event) { + // Add to raw events pane + this.addRawEvent(event); + + // Add to tools panel if it's a tool or handoff event + if (event.type === 'tool_start' || event.type === 'tool_end' || event.type === 'handoff') { + this.addToolEvent(event); + } + + // Handle specific event types + switch (event.type) { + case 'audio': + this.playAudio(event.audio); + break; + case 'audio_interrupted': + this.stopAudioPlayback(); + break; + case 'history_updated': + this.updateMessagesFromHistory(event.history); + break; + } + } + + + updateMessagesFromHistory(history) { + console.log('updateMessagesFromHistory called with:', history); + + // Clear all existing messages + this.messagesContent.innerHTML = ''; + + // Add messages from history + if (history && Array.isArray(history)) { + console.log('Processing history array with', history.length, 'items'); + history.forEach((item, index) => { + console.log(`History item ${index}:`, item); + if (item.type === 'message') { + const role = item.role; + let content = ''; + + console.log(`Message item - role: ${role}, content:`, item.content); + + if (item.content && Array.isArray(item.content)) { + // Extract text from content array + item.content.forEach(contentPart => { + console.log('Content part:', contentPart); + if (contentPart.type === 'text' && contentPart.text) { + content += contentPart.text; + } else if (contentPart.type === 'input_text' && contentPart.text) { + content += contentPart.text; + } else if (contentPart.type === 'input_audio' && contentPart.transcript) { + content += contentPart.transcript; + } else if (contentPart.type === 'audio' && contentPart.transcript) { + content += contentPart.transcript; + } + }); + } + + console.log(`Final content for ${role}:`, content); + + if (content.trim()) { + this.addMessage(role, content.trim()); + console.log(`Added message: ${role} - ${content.trim()}`); + } + } else { + console.log(`Skipping non-message item of type: ${item.type}`); + } + }); + } else { + console.log('History is not an array or is null/undefined'); + } + + this.scrollToBottom(); + } + + addMessage(type, content) { + const messageDiv = document.createElement('div'); + messageDiv.className = `message ${type}`; + + const bubbleDiv = document.createElement('div'); + bubbleDiv.className = 'message-bubble'; + bubbleDiv.textContent = content; + + messageDiv.appendChild(bubbleDiv); + this.messagesContent.appendChild(messageDiv); + this.scrollToBottom(); + + return messageDiv; + } + + addRawEvent(event) { + const eventDiv = document.createElement('div'); + eventDiv.className = 'event'; + + const headerDiv = document.createElement('div'); + headerDiv.className = 'event-header'; + headerDiv.innerHTML = ` + ${event.type} + ▼ + `; + + const contentDiv = document.createElement('div'); + contentDiv.className = 'event-content collapsed'; + contentDiv.textContent = JSON.stringify(event, null, 2); + + headerDiv.addEventListener('click', () => { + const isCollapsed = contentDiv.classList.contains('collapsed'); + contentDiv.classList.toggle('collapsed'); + headerDiv.querySelector('span:last-child').textContent = isCollapsed ? '▲' : '▼'; + }); + + eventDiv.appendChild(headerDiv); + eventDiv.appendChild(contentDiv); + this.eventsContent.appendChild(eventDiv); + + // Auto-scroll events pane + this.eventsContent.scrollTop = this.eventsContent.scrollHeight; + } + + addToolEvent(event) { + const eventDiv = document.createElement('div'); + eventDiv.className = 'event'; + + let title = ''; + let description = ''; + let eventClass = ''; + + if (event.type === 'handoff') { + title = `🔄 Handoff`; + description = `From ${event.from} to ${event.to}`; + eventClass = 'handoff'; + } else if (event.type === 'tool_start') { + title = `🔧 Tool Started`; + description = `Running ${event.tool}`; + eventClass = 'tool'; + } else if (event.type === 'tool_end') { + title = `✅ Tool Completed`; + description = `${event.tool}: ${event.output || 'No output'}`; + eventClass = 'tool'; + } + + eventDiv.innerHTML = ` +
+
+
${title}
+
${description}
+
+ ${new Date().toLocaleTimeString()} +
+ `; + + this.toolsContent.appendChild(eventDiv); + + // Auto-scroll tools pane + this.toolsContent.scrollTop = this.toolsContent.scrollHeight; + } + + async playAudio(audioBase64) { + try { + if (!audioBase64 || audioBase64.length === 0) { + console.warn('Received empty audio data, skipping playback'); + return; + } + + // Add to queue + this.audioQueue.push(audioBase64); + + // Start processing queue if not already playing + if (!this.isPlayingAudio) { + this.processAudioQueue(); + } + + } catch (error) { + console.error('Failed to play audio:', error); + } + } + + async processAudioQueue() { + if (this.isPlayingAudio || this.audioQueue.length === 0) { + return; + } + + this.isPlayingAudio = true; + + // Initialize audio context if needed + if (!this.playbackAudioContext) { + this.playbackAudioContext = new AudioContext({ sampleRate: 24000 }); + } + + while (this.audioQueue.length > 0) { + const audioBase64 = this.audioQueue.shift(); + await this.playAudioChunk(audioBase64); + } + + this.isPlayingAudio = false; + } + + async playAudioChunk(audioBase64) { + return new Promise((resolve, reject) => { + try { + // Decode base64 to ArrayBuffer + const binaryString = atob(audioBase64); + const bytes = new Uint8Array(binaryString.length); + for (let i = 0; i < binaryString.length; i++) { + bytes[i] = binaryString.charCodeAt(i); + } + + const int16Array = new Int16Array(bytes.buffer); + + if (int16Array.length === 0) { + console.warn('Audio chunk has no samples, skipping'); + resolve(); + return; + } + + const float32Array = new Float32Array(int16Array.length); + + // Convert int16 to float32 + for (let i = 0; i < int16Array.length; i++) { + float32Array[i] = int16Array[i] / 32768.0; + } + + const audioBuffer = this.playbackAudioContext.createBuffer(1, float32Array.length, 24000); + audioBuffer.getChannelData(0).set(float32Array); + + const source = this.playbackAudioContext.createBufferSource(); + source.buffer = audioBuffer; + source.connect(this.playbackAudioContext.destination); + + // Store reference to current source + this.currentAudioSource = source; + + source.onended = () => { + this.currentAudioSource = null; + resolve(); + }; + source.start(); + + } catch (error) { + console.error('Failed to play audio chunk:', error); + reject(error); + } + }); + } + + stopAudioPlayback() { + console.log('Stopping audio playback due to interruption'); + + // Stop current audio source if playing + if (this.currentAudioSource) { + try { + this.currentAudioSource.stop(); + this.currentAudioSource = null; + } catch (error) { + console.error('Error stopping audio source:', error); + } + } + + // Clear the audio queue + this.audioQueue = []; + + // Reset playback state + this.isPlayingAudio = false; + + console.log('Audio playback stopped and queue cleared'); + } + + scrollToBottom() { + this.messagesContent.scrollTop = this.messagesContent.scrollHeight; + } +} + +// Initialize the demo when the page loads +document.addEventListener('DOMContentLoaded', () => { + new RealtimeDemo(); +}); \ No newline at end of file diff --git a/examples/realtime/app/static/index.html b/examples/realtime/app/static/index.html new file mode 100644 index 000000000..fbd0de46d --- /dev/null +++ b/examples/realtime/app/static/index.html @@ -0,0 +1,295 @@ + + + + + + Realtime Demo + + + +
+

Realtime Demo

+ +
+ +
+
+
+ Conversation +
+
+ +
+
+ + Disconnected +
+
+ +
+
+
+ Event stream +
+
+ +
+
+ +
+
+ Tools & Handoffs +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/examples/realtime/no_ui_demo.py b/examples/realtime/cli/demo.py similarity index 100% rename from examples/realtime/no_ui_demo.py rename to examples/realtime/cli/demo.py diff --git a/examples/realtime/ui.py b/examples/realtime/cli/ui.py similarity index 100% rename from examples/realtime/ui.py rename to examples/realtime/cli/ui.py diff --git a/examples/realtime/demo.py b/examples/realtime/demo.py deleted file mode 100644 index 65ca63f27..000000000 --- a/examples/realtime/demo.py +++ /dev/null @@ -1,117 +0,0 @@ -import asyncio -import os -import sys -from typing import TYPE_CHECKING - -import numpy as np - -from agents.realtime import RealtimeSession - -# Add the current directory to path so we can import ui -sys.path.append(os.path.dirname(os.path.abspath(__file__))) - -from agents import function_tool -from agents.realtime import RealtimeAgent, RealtimeRunner, RealtimeSessionEvent - -if TYPE_CHECKING: - from .ui import AppUI -else: - # Try both import styles - try: - # Try relative import first (when used as a package) - from .ui import AppUI - except ImportError: - # Fall back to direct import (when run as a script) - from ui import AppUI - - -@function_tool -def get_weather(city: str) -> str: - """Get the weather in a city.""" - return f"The weather in {city} is sunny." - - -agent = RealtimeAgent( - name="Assistant", - instructions="You always greet the user with 'Top of the morning to you'.", - tools=[get_weather], -) - - -def _truncate_str(s: str, max_length: int) -> str: - if len(s) > max_length: - return s[:max_length] + "..." - return s - - -class Example: - def __init__(self) -> None: - self.ui = AppUI() - self.ui.connected = asyncio.Event() - self.ui.last_audio_item_id = None - # Set the audio callback - self.ui.set_audio_callback(self.on_audio_recorded) - - self.session: RealtimeSession | None = None - - async def run(self) -> None: - # Start UI in a separate task instead of waiting for it to complete - ui_task = asyncio.create_task(self.ui.run_async()) - - # Set up session immediately without waiting for UI to finish - runner = RealtimeRunner(agent) - async with await runner.run() as session: - self.session = session - self.ui.set_is_connected(True) - async for event in session: - await self._on_event(event) - print("done") - - # Wait for UI task to complete when session ends - await ui_task - - async def on_audio_recorded(self, audio_bytes: bytes) -> None: - # Send the audio to the session - assert self.session is not None - await self.session.send_audio(audio_bytes) - - async def _on_event(self, event: RealtimeSessionEvent) -> None: - try: - if event.type == "agent_start": - self.ui.add_transcript(f"Agent started: {event.agent.name}") - elif event.type == "agent_end": - self.ui.add_transcript(f"Agent ended: {event.agent.name}") - elif event.type == "handoff": - self.ui.add_transcript( - f"Handoff from {event.from_agent.name} to {event.to_agent.name}" - ) - elif event.type == "tool_start": - self.ui.add_transcript(f"Tool started: {event.tool.name}") - elif event.type == "tool_end": - self.ui.add_transcript(f"Tool ended: {event.tool.name}; output: {event.output}") - elif event.type == "audio_end": - self.ui.add_transcript("Audio ended") - elif event.type == "audio": - np_audio = np.frombuffer(event.audio.data, dtype=np.int16) - # Play audio in a separate thread to avoid blocking the event loop - await asyncio.to_thread(self.ui.play_audio, np_audio) - elif event.type == "audio_interrupted": - self.ui.add_transcript("Audio interrupted") - elif event.type == "error": - pass - elif event.type == "history_updated": - pass - elif event.type == "history_added": - pass - elif event.type == "raw_model_event": - if event.data.type != "error" and event.data.type != "exception": - self.ui.log_message(f"Raw model event: {event.data}") - else: - self.ui.log_message(f"Unknown event type: {event.type}") - except Exception as e: - self.ui.log_message(f"Error processing event: {_truncate_str(str(e), 50)}") - - -if __name__ == "__main__": - example = Example() - asyncio.run(example.run()) diff --git a/tests/realtime/test_conversion_helpers.py b/tests/realtime/test_conversion_helpers.py index 2264407c9..859813edd 100644 --- a/tests/realtime/test_conversion_helpers.py +++ b/tests/realtime/test_conversion_helpers.py @@ -178,7 +178,7 @@ def test_convert_user_input_to_conversation_item_dict(self): "content": [ {"type": "input_text", "text": "Hello"}, {"type": "input_text", "text": "World"}, - ] + ], } event = RealtimeModelSendUserInput(user_input=user_input_dict) @@ -199,7 +199,7 @@ def test_convert_user_input_to_conversation_item_dict_empty_content(self): user_input_dict: RealtimeModelUserInputMessage = { "type": "message", "role": "user", - "content": [] + "content": [], } event = RealtimeModelSendUserInput(user_input=user_input_dict) From b99d6e146ec451dec460a252dffee5e04ae1dbd9 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 16 Jul 2025 11:44:54 -0400 Subject: [PATCH 255/337] MCP: add support for tool_result.structuredContent --- pyproject.toml | 2 +- src/agents/mcp/server.py | 39 +++++++++++++++++++++++++++++++++++ src/agents/mcp/util.py | 10 ++++++++- tests/mcp/helpers.py | 1 + tests/mcp/test_mcp_tracing.py | 6 +++--- uv.lock | 35 +++++++++++++++++++++++++++---- 6 files changed, 84 insertions(+), 9 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index df6915c35..ba0fd60d2 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -13,7 +13,7 @@ dependencies = [ "typing-extensions>=4.12.2, <5", "requests>=2.0, <3", "types-requests>=2.0, <3", - "mcp>=1.9.4, <2; python_version >= '3.10'", + "mcp>=1.11.0, <2; python_version >= '3.10'", ] classifiers = [ "Typing :: Typed", diff --git a/src/agents/mcp/server.py b/src/agents/mcp/server.py index 91a9274fc..66332549c 100644 --- a/src/agents/mcp/server.py +++ b/src/agents/mcp/server.py @@ -28,6 +28,17 @@ class MCPServer(abc.ABC): """Base class for Model Context Protocol servers.""" + def __init__(self, use_structured_content: bool = False): + """ + Args: + use_structured_content: Whether to use `tool_result.structured_content` when calling an + MCP tool.Defaults to False for backwards compatibility - most MCP servers still + include the structured content in the `tool_result.content`, and using it by + default will cause duplicate content. You can set this to True if you know the + server will not duplicate the structured content in the `tool_result.content`. + """ + self.use_structured_content = use_structured_content + @abc.abstractmethod async def connect(self): """Connect to the server. For example, this might mean spawning a subprocess or @@ -86,6 +97,7 @@ def __init__( cache_tools_list: bool, client_session_timeout_seconds: float | None, tool_filter: ToolFilter = None, + use_structured_content: bool = False, ): """ Args: @@ -98,7 +110,13 @@ def __init__( client_session_timeout_seconds: the read timeout passed to the MCP ClientSession. tool_filter: The tool filter to use for filtering tools. + use_structured_content: Whether to use `tool_result.structured_content` when calling an + MCP tool. Defaults to False for backwards compatibility - most MCP servers still + include the structured content in the `tool_result.content`, and using it by + default will cause duplicate content. You can set this to True if you know the + server will not duplicate the structured content in the `tool_result.content`. """ + super().__init__(use_structured_content=use_structured_content) self.session: ClientSession | None = None self.exit_stack: AsyncExitStack = AsyncExitStack() self._cleanup_lock: asyncio.Lock = asyncio.Lock() @@ -346,6 +364,7 @@ def __init__( name: str | None = None, client_session_timeout_seconds: float | None = 5, tool_filter: ToolFilter = None, + use_structured_content: bool = False, ): """Create a new MCP server based on the stdio transport. @@ -364,11 +383,17 @@ def __init__( command. client_session_timeout_seconds: the read timeout passed to the MCP ClientSession. tool_filter: The tool filter to use for filtering tools. + use_structured_content: Whether to use `tool_result.structured_content` when calling an + MCP tool. Defaults to False for backwards compatibility - most MCP servers still + include the structured content in the `tool_result.content`, and using it by + default will cause duplicate content. You can set this to True if you know the + server will not duplicate the structured content in the `tool_result.content`. """ super().__init__( cache_tools_list, client_session_timeout_seconds, tool_filter, + use_structured_content, ) self.params = StdioServerParameters( @@ -429,6 +454,7 @@ def __init__( name: str | None = None, client_session_timeout_seconds: float | None = 5, tool_filter: ToolFilter = None, + use_structured_content: bool = False, ): """Create a new MCP server based on the HTTP with SSE transport. @@ -449,11 +475,17 @@ def __init__( client_session_timeout_seconds: the read timeout passed to the MCP ClientSession. tool_filter: The tool filter to use for filtering tools. + use_structured_content: Whether to use `tool_result.structured_content` when calling an + MCP tool. Defaults to False for backwards compatibility - most MCP servers still + include the structured content in the `tool_result.content`, and using it by + default will cause duplicate content. You can set this to True if you know the + server will not duplicate the structured content in the `tool_result.content`. """ super().__init__( cache_tools_list, client_session_timeout_seconds, tool_filter, + use_structured_content, ) self.params = params @@ -514,6 +546,7 @@ def __init__( name: str | None = None, client_session_timeout_seconds: float | None = 5, tool_filter: ToolFilter = None, + use_structured_content: bool = False, ): """Create a new MCP server based on the Streamable HTTP transport. @@ -535,11 +568,17 @@ def __init__( client_session_timeout_seconds: the read timeout passed to the MCP ClientSession. tool_filter: The tool filter to use for filtering tools. + use_structured_content: Whether to use `tool_result.structured_content` when calling an + MCP tool. Defaults to False for backwards compatibility - most MCP servers still + include the structured content in the `tool_result.content`, and using it by + default will cause duplicate content. You can set this to True if you know the + server will not duplicate the structured content in the `tool_result.content`. """ super().__init__( cache_tools_list, client_session_timeout_seconds, tool_filter, + use_structured_content, ) self.params = params diff --git a/src/agents/mcp/util.py b/src/agents/mcp/util.py index 18cf4440a..bf09b8767 100644 --- a/src/agents/mcp/util.py +++ b/src/agents/mcp/util.py @@ -198,8 +198,16 @@ async def invoke_mcp_tool( # string. We'll try to convert. if len(result.content) == 1: tool_output = result.content[0].model_dump_json() + # Append structured content if it exists and we're using it. + if server.use_structured_content and result.structuredContent: + tool_output = f"{tool_output}\n{json.dumps(result.structuredContent)}" elif len(result.content) > 1: - tool_output = json.dumps([item.model_dump(mode="json") for item in result.content]) + tool_results = [item.model_dump(mode="json") for item in result.content] + if server.use_structured_content and result.structuredContent: + tool_results.append(result.structuredContent) + tool_output = json.dumps(tool_results) + elif server.use_structured_content and result.structuredContent: + tool_output = json.dumps(result.structuredContent) else: logger.error(f"Errored MCP tool result: {result}") tool_output = "Error running tool." diff --git a/tests/mcp/helpers.py b/tests/mcp/helpers.py index 31d43c228..f5723e7ce 100644 --- a/tests/mcp/helpers.py +++ b/tests/mcp/helpers.py @@ -61,6 +61,7 @@ def __init__( tool_filter: ToolFilter = None, server_name: str = "fake_mcp_server", ): + super().__init__(use_structured_content=False) self.tools: list[MCPTool] = tools or [] self.tool_calls: list[str] = [] self.tool_results: list[str] = [] diff --git a/tests/mcp/test_mcp_tracing.py b/tests/mcp/test_mcp_tracing.py index 54575dcb5..33dfa5ea1 100644 --- a/tests/mcp/test_mcp_tracing.py +++ b/tests/mcp/test_mcp_tracing.py @@ -62,7 +62,7 @@ async def test_mcp_tracing(): "data": { "name": "test_tool_1", "input": "", - "output": '{"type":"text","text":"result_test_tool_1_{}","annotations":null}', # noqa: E501 + "output": '{"type":"text","text":"result_test_tool_1_{}","annotations":null,"meta":null}', # noqa: E501 "mcp_data": {"server": "fake_mcp_server"}, }, }, @@ -133,7 +133,7 @@ async def test_mcp_tracing(): "data": { "name": "test_tool_2", "input": "", - "output": '{"type":"text","text":"result_test_tool_2_{}","annotations":null}', # noqa: E501 + 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From: Rohan Mehta Date: Wed, 16 Jul 2025 11:59:38 -0400 Subject: [PATCH 256/337] v0.2.1 --- pyproject.toml | 2 +- uv.lock | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index ba0fd60d2..b72ccd594 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "openai-agents" -version = "0.2.0" +version = "0.2.1" description = "OpenAI Agents SDK" readme = "README.md" requires-python = ">=3.9" diff --git a/uv.lock b/uv.lock index 1427afd24..2e14dd804 100644 --- a/uv.lock +++ b/uv.lock @@ -1482,7 +1482,7 @@ wheels = [ [[package]] name = "openai-agents" -version = "0.2.0" +version = "0.2.1" source = { editable = "." } dependencies = [ { name = "griffe" }, From bbf20a57fe73c131f5c0cd8d4726694faec711cf Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 16 Jul 2025 12:26:09 -0400 Subject: [PATCH 257/337] Realtime docs --- docs/realtime/guide.md | 143 +++++++++++++++++++++++++++ docs/realtime/quickstart.md | 175 ++++++++++++++++++++++++++++++++++ docs/ref/realtime/agent.md | 3 + docs/ref/realtime/config.md | 41 ++++++++ docs/ref/realtime/events.md | 36 +++++++ docs/ref/realtime/runner.md | 3 + docs/ref/realtime/session.md | 3 + mkdocs.yml | 12 +++ src/agents/realtime/config.py | 58 +++++++++++ src/agents/realtime/items.py | 83 ++++++++++++++++ 10 files changed, 557 insertions(+) create mode 100644 docs/realtime/guide.md create mode 100644 docs/realtime/quickstart.md create mode 100644 docs/ref/realtime/agent.md create mode 100644 docs/ref/realtime/config.md create mode 100644 docs/ref/realtime/events.md create mode 100644 docs/ref/realtime/runner.md create mode 100644 docs/ref/realtime/session.md diff --git a/docs/realtime/guide.md b/docs/realtime/guide.md new file mode 100644 index 000000000..9ea2525cf --- /dev/null +++ b/docs/realtime/guide.md @@ -0,0 +1,143 @@ +# Guide + +This guide provides an in-depth look at building voice-enabled AI agents using the OpenAI Agents SDK's realtime capabilities. + +!!! warning "Beta feature" +Realtime agents are in beta. Expect some breaking changes as we improve the implementation. + +## Overview + +Realtime agents allow for conversational flows, processing audio and text inputs in real time and responding with realtime audio. They maintain persistent connections with OpenAI's Realtime API, enabling natural voice conversations with low latency and the ability to handle interruptions gracefully. + +## Architecture + +### Core Components + +The realtime system consists of several key components: + +- **RealtimeAgent**: An agent, configured wiht instructions, tools and handoffs. +- **RealtimeRunner**: Manages configuration. You can call `runner.run()` to get a session. +- **RealtimeSession**: A single interaction session. You typically create one each time a user starts a conversation, and keep it alive until the conversation is done. +- **RealtimeModel**: The underlying model interface (typically OpenAI's WebSocket implementation) + +### Session flow + +A typical realtime session follows this flow: + +1. **Create your RealtimeAgent(s)** with instructions, tools and handoffs. +2. **Set up a RealtimeRunner** with the agent and configuration options +3. **Start the session** using `await runner.run()` which returns a RealtimeSession. +4. **Send audio or text messages** to the session using `send_audio()` or `send_message()` +5. **Listen for events** by iterating over the session - events include audio output, transcripts, tool calls, handoffs, and errors +6. **Handle interruptions** when users speak over the agent, which automatically stops current audio generation + +The session maintains the conversation history and manages the persistent connection with the realtime model. + +## Agent configuration + +RealtimeAgent works similarly to the regular Agent class with some key differences. For full API details, see the [`RealtimeAgent`][agents.realtime.agent.RealtimeAgent] API reference. + +Key differences from regular agents: + +- Model choice is configured at the session level, not the agent level. +- No structured output support (`outputType` is not supported). +- Voice can be configured per agent but cannot be changed after the first agent speaks. +- All other features like tools, handoffs, and instructions work the same way. + +## Session configuration + +### Model settings + +The session configuration allows you to control the underlying realtime model behavior. You can configure the model name (such as `gpt-4o-realtime-preview`), voice selection (alloy, echo, fable, onyx, nova, shimmer), and supported modalities (text and/or audio). Audio formats can be set for both input and output, with PCM16 being the default. + +### Audio configuration + +Audio settings control how the session handles voice input and output. You can configure input audio transcription using models like Whisper, set language preferences, and provide transcription prompts to improve accuracy for domain-specific terms. Turn detection settings control when the agent should start and stop responding, with options for voice activity detection thresholds, silence duration, and padding around detected speech. + +## Tools and Functions + +### Adding Tools + +Just like regular agents, realtime agents support function tools that execute during conversations: + +```python +from agents import function_tool + +@function_tool +def get_weather(city: str) -> str: + """Get current weather for a city.""" + # Your weather API logic here + return f"The weather in {city} is sunny, 72°F" + +@function_tool +def book_appointment(date: str, time: str, service: str) -> str: + """Book an appointment.""" + # Your booking logic here + return f"Appointment booked for {service} on {date} at {time}" + +agent = RealtimeAgent( + name="Assistant", + instructions="You can help with weather and appointments.", + tools=[get_weather, book_appointment], +) +``` + +## Handoffs + +### Creating Handoffs + +Handoffs allow transferring conversations between specialized agents. + +```python +from agents.realtime import realtime_handoff + +# Specialized agents +billing_agent = RealtimeAgent( + name="Billing Support", + instructions="You specialize in billing and payment issues.", +) + +technical_agent = RealtimeAgent( + name="Technical Support", + instructions="You handle technical troubleshooting.", +) + +# Main agent with handoffs +main_agent = RealtimeAgent( + name="Customer Service", + instructions="You are the main customer service agent. Hand off to specialists when needed.", + handoffs=[ + realtime_handoff(billing_agent, tool_description="Transfer to billing support"), + realtime_handoff(technical_agent, tool_description="Transfer to technical support"), + ] +) +``` + +## Event handling + +The session streams events that you can listen to by iterating over the session object. Events include audio output chunks, transcription results, tool execution start and end, agent handoffs, and errors. Key events to handle include: + +- **audio**: Raw audio data from the agent's response +- **audio_end**: Agent finished speaking +- **audio_interrupted**: User interrupted the agent +- **tool_start/tool_end**: Tool execution lifecycle +- **handoff**: Agent handoff occurred +- **error**: Error occurred during processing + +For complete event details, see [`RealtimeSessionEvent`][agents.realtime.events.RealtimeSessionEvent]. + +## Guardrails + +Only output guardrails are supported for realtime agents. These guardrails are debounced and run periodically (not on every word) to avoid performance issues during real-time generation. The default debounce length is 100 characters, but this is configurable. + +When a guardrail is triggered, it generates a `guardrail_tripped` event and can interrupt the agent's current response. The debounce behavior helps balance safety with real-time performance requirements. Unlike text agents, realtime agents do **not** raise an Exception when guardrails are tripped. + +## Audio processing + +Send audio to the session using [`session.send_audio(audio_bytes)`][agents.realtime.session.RealtimeSession.send_audio] or send text using [`session.send_message()`][agents.realtime.session.RealtimeSession.send_message]. + +For audio output, listen for `audio` events and play the audio data through your preferred audio library. Make sure to listen for `audio_interrupted` events to stop playback immediately and clear any queued audio when the user interrupts the agent. + +## Examples + +For complete working examples, check out the [examples/realtime directory](https://github.com/openai/openai-agents-python/tree/main/examples/realtime) which includes demos with and without UI components. diff --git a/docs/realtime/quickstart.md b/docs/realtime/quickstart.md new file mode 100644 index 000000000..2cee550ea --- /dev/null +++ b/docs/realtime/quickstart.md @@ -0,0 +1,175 @@ +# Quickstart + +Realtime agents enable voice conversations with your AI agents using OpenAI's Realtime API. This guide walks you through creating your first realtime voice agent. + +!!! warning "Beta feature" +Realtime agents are in beta. Expect some breaking changes as we improve the implementation. + +## Prerequisites + +- Python 3.9 or higher +- OpenAI API key +- Basic familiarity with the OpenAI Agents SDK + +## Installation + +If you haven't already, install the OpenAI Agents SDK: + +```bash +pip install openai-agents +``` + +## Creating your first realtime agent + +### 1. Import required components + +```python +import asyncio +from agents.realtime import RealtimeAgent, RealtimeRunner +``` + +### 2. Create a realtime agent + +```python +agent = RealtimeAgent( + name="Assistant", + instructions="You are a helpful voice assistant. Keep your responses conversational and friendly.", +) +``` + +### 3. Set up the runner + +```python +runner = RealtimeRunner( + starting_agent=agent, + config={ + "model_settings": { + "model_name": "gpt-4o-realtime-preview", + "voice": "alloy", + "modalities": ["text", "audio"], + } + } +) +``` + +### 4. Start a session + +```python +async def main(): + # Start the realtime session + session = await runner.run() + + async with session: + # Send a text message to start the conversation + await session.send_message("Hello! How are you today?") + + # The agent will stream back audio in real-time (not shown in this example) + # Listen for events from the session + async for event in session: + if event.type == "response.audio_transcript.done": + print(f"Assistant: {event.transcript}") + elif event.type == "conversation.item.input_audio_transcription.completed": + print(f"User: {event.transcript}") + +# Run the session +asyncio.run(main()) +``` + +## Complete example + +Here's a complete working example: + +```python +import asyncio +from agents.realtime import RealtimeAgent, RealtimeRunner + +async def main(): + # Create the agent + agent = RealtimeAgent( + name="Assistant", + instructions="You are a helpful voice assistant. Keep responses brief and conversational.", + ) + + # Set up the runner with configuration + runner = RealtimeRunner( + starting_agent=agent, + config={ + "model_settings": { + "model_name": "gpt-4o-realtime-preview", + "voice": "alloy", + "modalities": ["text", "audio"], + "input_audio_transcription": { + "model": "whisper-1" + }, + "turn_detection": { + "type": "server_vad", + "threshold": 0.5, + "prefix_padding_ms": 300, + "silence_duration_ms": 200 + } + } + } + ) + + # Start the session + session = await runner.run() + + async with session: + print("Session started! The agent will stream audio responses in real-time.") + + # Process events + async for event in session: + if event.type == "response.audio_transcript.done": + print(f"Assistant: {event.transcript}") + elif event.type == "conversation.item.input_audio_transcription.completed": + print(f"User: {event.transcript}") + elif event.type == "error": + print(f"Error: {event.error}") + break + +if __name__ == "__main__": + asyncio.run(main()) +``` + +## Configuration options + +### Model settings + +- `model_name`: Choose from available realtime models (e.g., `gpt-4o-realtime-preview`) +- `voice`: Select voice (`alloy`, `echo`, `fable`, `onyx`, `nova`, `shimmer`) +- `modalities`: Enable text and/or audio (`["text", "audio"]`) + +### Audio settings + +- `input_audio_format`: Format for input audio (`pcm16`, `g711_ulaw`, `g711_alaw`) +- `output_audio_format`: Format for output audio +- `input_audio_transcription`: Transcription configuration + +### Turn detection + +- `type`: Detection method (`server_vad`, `semantic_vad`) +- `threshold`: Voice activity threshold (0.0-1.0) +- `silence_duration_ms`: Silence duration to detect turn end +- `prefix_padding_ms`: Audio padding before speech + +## Next steps + +- [Learn more about realtime agents](guide.md) +- Check out working examples in the [examples/realtime](https://github.com/openai/openai-agents-python/tree/main/examples/realtime) folder +- Add tools to your agent +- Implement handoffs between agents +- Set up guardrails for safety + +## Authentication + +Make sure your OpenAI API key is set in your environment: + +```bash +export OPENAI_API_KEY="your-api-key-here" +``` + +Or pass it directly when creating the session: + +```python +session = await runner.run(model_config={"api_key": "your-api-key"}) +``` diff --git a/docs/ref/realtime/agent.md b/docs/ref/realtime/agent.md new file mode 100644 index 000000000..d90833920 --- /dev/null +++ b/docs/ref/realtime/agent.md @@ -0,0 +1,3 @@ +# `RealtimeAgent` + +::: agents.realtime.agent.RealtimeAgent \ No newline at end of file diff --git a/docs/ref/realtime/config.md b/docs/ref/realtime/config.md new file mode 100644 index 000000000..3e50f47ad --- /dev/null +++ b/docs/ref/realtime/config.md @@ -0,0 +1,41 @@ +# Realtime Configuration + +## Run Configuration + +::: agents.realtime.config.RealtimeRunConfig + +## Model Settings + +::: agents.realtime.config.RealtimeSessionModelSettings + +## Audio Configuration + +::: agents.realtime.config.RealtimeInputAudioTranscriptionConfig +::: agents.realtime.config.RealtimeTurnDetectionConfig + +## Guardrails Settings + +::: agents.realtime.config.RealtimeGuardrailsSettings + +## Model Configuration + +::: agents.realtime.model.RealtimeModelConfig + +## Tracing Configuration + +::: agents.realtime.config.RealtimeModelTracingConfig + +## User Input Types + +::: agents.realtime.config.RealtimeUserInput +::: agents.realtime.config.RealtimeUserInputText +::: agents.realtime.config.RealtimeUserInputMessage + +## Client Messages + +::: agents.realtime.config.RealtimeClientMessage + +## Type Aliases + +::: agents.realtime.config.RealtimeModelName +::: agents.realtime.config.RealtimeAudioFormat \ No newline at end of file diff --git a/docs/ref/realtime/events.md b/docs/ref/realtime/events.md new file mode 100644 index 000000000..137d9a643 --- /dev/null +++ b/docs/ref/realtime/events.md @@ -0,0 +1,36 @@ +# Realtime Events + +## Session Events + +::: agents.realtime.events.RealtimeSessionEvent + +## Event Types + +### Agent Events +::: agents.realtime.events.RealtimeAgentStartEvent +::: agents.realtime.events.RealtimeAgentEndEvent + +### Audio Events +::: agents.realtime.events.RealtimeAudio +::: agents.realtime.events.RealtimeAudioEnd +::: agents.realtime.events.RealtimeAudioInterrupted + +### Tool Events +::: agents.realtime.events.RealtimeToolStart +::: agents.realtime.events.RealtimeToolEnd + +### Handoff Events +::: agents.realtime.events.RealtimeHandoffEvent + +### Guardrail Events +::: agents.realtime.events.RealtimeGuardrailTripped + +### History Events +::: agents.realtime.events.RealtimeHistoryAdded +::: agents.realtime.events.RealtimeHistoryUpdated + +### Error Events +::: agents.realtime.events.RealtimeError + +### Raw Model Events +::: agents.realtime.events.RealtimeRawModelEvent \ No newline at end of file diff --git a/docs/ref/realtime/runner.md b/docs/ref/realtime/runner.md new file mode 100644 index 000000000..b2d26bba5 --- /dev/null +++ b/docs/ref/realtime/runner.md @@ -0,0 +1,3 @@ +# `RealtimeRunner` + +::: agents.realtime.runner.RealtimeRunner \ No newline at end of file diff --git a/docs/ref/realtime/session.md b/docs/ref/realtime/session.md new file mode 100644 index 000000000..52ad0b09e --- /dev/null +++ b/docs/ref/realtime/session.md @@ -0,0 +1,3 @@ +# `RealtimeSession` + +::: agents.realtime.session.RealtimeSession \ No newline at end of file diff --git a/mkdocs.yml b/mkdocs.yml index 19529bf30..9e7f7aeec 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -78,6 +78,9 @@ plugins: - voice/quickstart.md - voice/pipeline.md - voice/tracing.md + - Realtime agents: + - realtime/quickstart.md + - realtime/guide.md - API Reference: - Agents: - ref/index.md @@ -115,6 +118,12 @@ plugins: - ref/tracing/setup.md - ref/tracing/span_data.md - ref/tracing/util.md + - Realtime: + - ref/realtime/agent.md + - ref/realtime/runner.md + - ref/realtime/session.md + - ref/realtime/events.md + - ref/realtime/config.md - Voice: - ref/voice/pipeline.md - ref/voice/workflow.md @@ -163,6 +172,9 @@ plugins: - voice/quickstart.md - voice/pipeline.md - voice/tracing.md + - リアルタイムエージェント: + - realtime/quickstart.md + - realtime/guide.md extra: # Remove material generation message in footer diff --git a/src/agents/realtime/config.py b/src/agents/realtime/config.py index 6e7e3f4be..05c631f49 100644 --- a/src/agents/realtime/config.py +++ b/src/agents/realtime/config.py @@ -28,53 +28,95 @@ RealtimeAudioFormat: TypeAlias = Union[Literal["pcm16", "g711_ulaw", "g711_alaw"], str] +"""The audio format for realtime audio streams.""" class RealtimeClientMessage(TypedDict): """A raw message to be sent to the model.""" type: str # explicitly required + """The type of the message.""" + other_data: NotRequired[dict[str, Any]] """Merged into the message body.""" class RealtimeInputAudioTranscriptionConfig(TypedDict): + """Configuration for audio transcription in realtime sessions.""" + language: NotRequired[str] + """The language code for transcription.""" + model: NotRequired[Literal["gpt-4o-transcribe", "gpt-4o-mini-transcribe", "whisper-1"] | str] + """The transcription model to use.""" + prompt: NotRequired[str] + """An optional prompt to guide transcription.""" class RealtimeTurnDetectionConfig(TypedDict): """Turn detection config. Allows extra vendor keys if needed.""" type: NotRequired[Literal["semantic_vad", "server_vad"]] + """The type of voice activity detection to use.""" + create_response: NotRequired[bool] + """Whether to create a response when a turn is detected.""" + eagerness: NotRequired[Literal["auto", "low", "medium", "high"]] + """How eagerly to detect turn boundaries.""" + interrupt_response: NotRequired[bool] + """Whether to allow interrupting the assistant's response.""" + prefix_padding_ms: NotRequired[int] + """Padding time in milliseconds before turn detection.""" + silence_duration_ms: NotRequired[int] + """Duration of silence in milliseconds to trigger turn detection.""" + threshold: NotRequired[float] + """The threshold for voice activity detection.""" class RealtimeSessionModelSettings(TypedDict): """Model settings for a realtime model session.""" model_name: NotRequired[RealtimeModelName] + """The name of the realtime model to use.""" instructions: NotRequired[str] + """System instructions for the model.""" + modalities: NotRequired[list[Literal["text", "audio"]]] + """The modalities the model should support.""" + voice: NotRequired[str] + """The voice to use for audio output.""" input_audio_format: NotRequired[RealtimeAudioFormat] + """The format for input audio streams.""" + output_audio_format: NotRequired[RealtimeAudioFormat] + """The format for output audio streams.""" + input_audio_transcription: NotRequired[RealtimeInputAudioTranscriptionConfig] + """Configuration for transcribing input audio.""" + turn_detection: NotRequired[RealtimeTurnDetectionConfig] + """Configuration for detecting conversation turns.""" tool_choice: NotRequired[ToolChoice] + """How the model should choose which tools to call.""" + tools: NotRequired[list[Tool]] + """List of tools available to the model.""" + handoffs: NotRequired[list[Handoff]] + """List of handoff configurations.""" tracing: NotRequired[RealtimeModelTracingConfig | None] + """Configuration for request tracing.""" class RealtimeGuardrailsSettings(TypedDict): @@ -102,7 +144,10 @@ class RealtimeModelTracingConfig(TypedDict): class RealtimeRunConfig(TypedDict): + """Configuration for running a realtime agent session.""" + model_settings: NotRequired[RealtimeSessionModelSettings] + """Settings for the realtime model session.""" output_guardrails: NotRequired[list[OutputGuardrail[Any]]] """List of output guardrails to run on the agent's responses.""" @@ -117,14 +162,27 @@ class RealtimeRunConfig(TypedDict): class RealtimeUserInputText(TypedDict): + """A text input from the user.""" + type: Literal["input_text"] + """The type identifier for text input.""" + text: str + """The text content from the user.""" class RealtimeUserInputMessage(TypedDict): + """A message input from the user.""" + type: Literal["message"] + """The type identifier for message inputs.""" + role: Literal["user"] + """The role identifier for user messages.""" + content: list[RealtimeUserInputText] + """List of text content items in the message.""" RealtimeUserInput: TypeAlias = Union[str, RealtimeUserInputMessage] +"""User input that can be a string or structured message.""" diff --git a/src/agents/realtime/items.py b/src/agents/realtime/items.py index fc05ebc51..4d5cea65f 100644 --- a/src/agents/realtime/items.py +++ b/src/agents/realtime/items.py @@ -6,68 +6,127 @@ class InputText(BaseModel): + """Text input content for realtime messages.""" + type: Literal["input_text"] = "input_text" + """The type identifier for text input.""" + text: str | None = None + """The text content.""" # Allow extra data model_config = ConfigDict(extra="allow") class InputAudio(BaseModel): + """Audio input content for realtime messages.""" + type: Literal["input_audio"] = "input_audio" + """The type identifier for audio input.""" + audio: str | None = None + """The base64-encoded audio data.""" + transcript: str | None = None + """The transcript of the audio, if available.""" # Allow extra data model_config = ConfigDict(extra="allow") class AssistantText(BaseModel): + """Text content from the assistant in realtime responses.""" + type: Literal["text"] = "text" + """The type identifier for text content.""" + text: str | None = None + """The text content from the assistant.""" # Allow extra data model_config = ConfigDict(extra="allow") class AssistantAudio(BaseModel): + """Audio content from the assistant in realtime responses.""" + type: Literal["audio"] = "audio" + """The type identifier for audio content.""" + audio: str | None = None + """The base64-encoded audio data from the assistant.""" + transcript: str | None = None + """The transcript of the audio response.""" # Allow extra data model_config = ConfigDict(extra="allow") class SystemMessageItem(BaseModel): + """A system message item in realtime conversations.""" + item_id: str + """Unique identifier for this message item.""" + previous_item_id: str | None = None + """ID of the previous item in the conversation.""" + type: Literal["message"] = "message" + """The type identifier for message items.""" + role: Literal["system"] = "system" + """The role identifier for system messages.""" + content: list[InputText] + """List of text content for the system message.""" # Allow extra data model_config = ConfigDict(extra="allow") class UserMessageItem(BaseModel): + """A user message item in realtime conversations.""" + item_id: str + """Unique identifier for this message item.""" + previous_item_id: str | None = None + """ID of the previous item in the conversation.""" + type: Literal["message"] = "message" + """The type identifier for message items.""" + role: Literal["user"] = "user" + """The role identifier for user messages.""" + content: list[Annotated[InputText | InputAudio, Field(discriminator="type")]] + """List of content items, can be text or audio.""" # Allow extra data model_config = ConfigDict(extra="allow") class AssistantMessageItem(BaseModel): + """An assistant message item in realtime conversations.""" + item_id: str + """Unique identifier for this message item.""" + previous_item_id: str | None = None + """ID of the previous item in the conversation.""" + type: Literal["message"] = "message" + """The type identifier for message items.""" + role: Literal["assistant"] = "assistant" + """The role identifier for assistant messages.""" + status: Literal["in_progress", "completed", "incomplete"] | None = None + """The status of the assistant's response.""" + content: list[Annotated[AssistantText | AssistantAudio, Field(discriminator="type")]] + """List of content items from the assistant, can be text or audio.""" # Allow extra data model_config = ConfigDict(extra="allow") @@ -77,25 +136,49 @@ class AssistantMessageItem(BaseModel): Union[SystemMessageItem, UserMessageItem, AssistantMessageItem], Field(discriminator="role"), ] +"""A message item that can be from system, user, or assistant.""" class RealtimeToolCallItem(BaseModel): + """A tool call item in realtime conversations.""" + item_id: str + """Unique identifier for this tool call item.""" + previous_item_id: str | None = None + """ID of the previous item in the conversation.""" + call_id: str | None + """The call ID for this tool invocation.""" + type: Literal["function_call"] = "function_call" + """The type identifier for function call items.""" + status: Literal["in_progress", "completed"] + """The status of the tool call execution.""" + arguments: str + """The JSON string arguments passed to the tool.""" + name: str + """The name of the tool being called.""" + output: str | None = None + """The output result from the tool execution.""" # Allow extra data model_config = ConfigDict(extra="allow") RealtimeItem = Union[RealtimeMessageItem, RealtimeToolCallItem] +"""A realtime item that can be a message or tool call.""" class RealtimeResponse(BaseModel): + """A response from the realtime model.""" + id: str + """Unique identifier for this response.""" + output: list[RealtimeMessageItem] + """List of message items in the response.""" From eca6c00ccb526d8e2f0d214d660b2c4b30bcbbc3 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 16 Jul 2025 15:14:41 -0400 Subject: [PATCH 258/337] Unbreak tests --- tests/mcp/test_mcp_util.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/tests/mcp/test_mcp_util.py b/tests/mcp/test_mcp_util.py index 62b786708..af63665f8 100644 --- a/tests/mcp/test_mcp_util.py +++ b/tests/mcp/test_mcp_util.py @@ -264,16 +264,16 @@ async def test_mcp_fastmcp_behavior_verification(): result = await MCPUtil.invoke_mcp_tool(server, tool, ctx, "") assert result == "[]", f"[] should return '[]', got {result}" - # Case 3: {} -> {"type":"text","text":"{}","annotations":null}. + # Case 3: {} -> {"type":"text","text":"{}","annotations":null,"meta":null}. server._custom_content = [TextContent(text="{}", type="text")] result = await MCPUtil.invoke_mcp_tool(server, tool, ctx, "") - expected = '{"type":"text","text":"{}","annotations":null}' + expected = '{"type":"text","text":"{}","annotations":null,"meta":null}' assert result == expected, f"{{}} should return {expected}, got {result}" - # Case 4: [{}] -> {"type":"text","text":"{}","annotations":null}. + # Case 4: [{}] -> {"type":"text","text":"{}","annotations":null,"meta":null}. server._custom_content = [TextContent(text="{}", type="text")] result = await MCPUtil.invoke_mcp_tool(server, tool, ctx, "") - expected = '{"type":"text","text":"{}","annotations":null}' + expected = '{"type":"text","text":"{}","annotations":null,"meta":null}' assert result == expected, f"[{{}}] should return {expected}, got {result}" # Case 5: [[]] -> "[]". @@ -284,7 +284,7 @@ async def test_mcp_fastmcp_behavior_verification(): # Case 6: String values work normally. server._custom_content = [TextContent(text="hello", type="text")] result = await MCPUtil.invoke_mcp_tool(server, tool, ctx, "") - expected = '{"type":"text","text":"hello","annotations":null}' + expected = '{"type":"text","text":"hello","annotations":null,"meta":null}' assert result == expected, f"String should return {expected}, got {result}" From 653cd2316d99132cddb555a65eab5b880a15c26c Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 16 Jul 2025 15:16:32 -0400 Subject: [PATCH 259/337] Realtime docs --- docs/realtime/guide.md | 143 +++++++++++++++++++++++++++ docs/realtime/quickstart.md | 175 ++++++++++++++++++++++++++++++++++ docs/ref/realtime/agent.md | 3 + docs/ref/realtime/config.md | 41 ++++++++ docs/ref/realtime/events.md | 36 +++++++ docs/ref/realtime/runner.md | 3 + docs/ref/realtime/session.md | 3 + mkdocs.yml | 12 +++ src/agents/realtime/config.py | 58 +++++++++++ src/agents/realtime/items.py | 83 ++++++++++++++++ 10 files changed, 557 insertions(+) create mode 100644 docs/realtime/guide.md create mode 100644 docs/realtime/quickstart.md create mode 100644 docs/ref/realtime/agent.md create mode 100644 docs/ref/realtime/config.md create mode 100644 docs/ref/realtime/events.md create mode 100644 docs/ref/realtime/runner.md create mode 100644 docs/ref/realtime/session.md diff --git a/docs/realtime/guide.md b/docs/realtime/guide.md new file mode 100644 index 000000000..9ea2525cf --- /dev/null +++ b/docs/realtime/guide.md @@ -0,0 +1,143 @@ +# Guide + +This guide provides an in-depth look at building voice-enabled AI agents using the OpenAI Agents SDK's realtime capabilities. + +!!! warning "Beta feature" +Realtime agents are in beta. Expect some breaking changes as we improve the implementation. + +## Overview + +Realtime agents allow for conversational flows, processing audio and text inputs in real time and responding with realtime audio. They maintain persistent connections with OpenAI's Realtime API, enabling natural voice conversations with low latency and the ability to handle interruptions gracefully. + +## Architecture + +### Core Components + +The realtime system consists of several key components: + +- **RealtimeAgent**: An agent, configured wiht instructions, tools and handoffs. +- **RealtimeRunner**: Manages configuration. You can call `runner.run()` to get a session. +- **RealtimeSession**: A single interaction session. You typically create one each time a user starts a conversation, and keep it alive until the conversation is done. +- **RealtimeModel**: The underlying model interface (typically OpenAI's WebSocket implementation) + +### Session flow + +A typical realtime session follows this flow: + +1. **Create your RealtimeAgent(s)** with instructions, tools and handoffs. +2. **Set up a RealtimeRunner** with the agent and configuration options +3. **Start the session** using `await runner.run()` which returns a RealtimeSession. +4. **Send audio or text messages** to the session using `send_audio()` or `send_message()` +5. **Listen for events** by iterating over the session - events include audio output, transcripts, tool calls, handoffs, and errors +6. **Handle interruptions** when users speak over the agent, which automatically stops current audio generation + +The session maintains the conversation history and manages the persistent connection with the realtime model. + +## Agent configuration + +RealtimeAgent works similarly to the regular Agent class with some key differences. For full API details, see the [`RealtimeAgent`][agents.realtime.agent.RealtimeAgent] API reference. + +Key differences from regular agents: + +- Model choice is configured at the session level, not the agent level. +- No structured output support (`outputType` is not supported). +- Voice can be configured per agent but cannot be changed after the first agent speaks. +- All other features like tools, handoffs, and instructions work the same way. + +## Session configuration + +### Model settings + +The session configuration allows you to control the underlying realtime model behavior. You can configure the model name (such as `gpt-4o-realtime-preview`), voice selection (alloy, echo, fable, onyx, nova, shimmer), and supported modalities (text and/or audio). Audio formats can be set for both input and output, with PCM16 being the default. + +### Audio configuration + +Audio settings control how the session handles voice input and output. You can configure input audio transcription using models like Whisper, set language preferences, and provide transcription prompts to improve accuracy for domain-specific terms. Turn detection settings control when the agent should start and stop responding, with options for voice activity detection thresholds, silence duration, and padding around detected speech. + +## Tools and Functions + +### Adding Tools + +Just like regular agents, realtime agents support function tools that execute during conversations: + +```python +from agents import function_tool + +@function_tool +def get_weather(city: str) -> str: + """Get current weather for a city.""" + # Your weather API logic here + return f"The weather in {city} is sunny, 72°F" + +@function_tool +def book_appointment(date: str, time: str, service: str) -> str: + """Book an appointment.""" + # Your booking logic here + return f"Appointment booked for {service} on {date} at {time}" + +agent = RealtimeAgent( + name="Assistant", + instructions="You can help with weather and appointments.", + tools=[get_weather, book_appointment], +) +``` + +## Handoffs + +### Creating Handoffs + +Handoffs allow transferring conversations between specialized agents. + +```python +from agents.realtime import realtime_handoff + +# Specialized agents +billing_agent = RealtimeAgent( + name="Billing Support", + instructions="You specialize in billing and payment issues.", +) + +technical_agent = RealtimeAgent( + name="Technical Support", + instructions="You handle technical troubleshooting.", +) + +# Main agent with handoffs +main_agent = RealtimeAgent( + name="Customer Service", + instructions="You are the main customer service agent. Hand off to specialists when needed.", + handoffs=[ + realtime_handoff(billing_agent, tool_description="Transfer to billing support"), + realtime_handoff(technical_agent, tool_description="Transfer to technical support"), + ] +) +``` + +## Event handling + +The session streams events that you can listen to by iterating over the session object. Events include audio output chunks, transcription results, tool execution start and end, agent handoffs, and errors. Key events to handle include: + +- **audio**: Raw audio data from the agent's response +- **audio_end**: Agent finished speaking +- **audio_interrupted**: User interrupted the agent +- **tool_start/tool_end**: Tool execution lifecycle +- **handoff**: Agent handoff occurred +- **error**: Error occurred during processing + +For complete event details, see [`RealtimeSessionEvent`][agents.realtime.events.RealtimeSessionEvent]. + +## Guardrails + +Only output guardrails are supported for realtime agents. These guardrails are debounced and run periodically (not on every word) to avoid performance issues during real-time generation. The default debounce length is 100 characters, but this is configurable. + +When a guardrail is triggered, it generates a `guardrail_tripped` event and can interrupt the agent's current response. The debounce behavior helps balance safety with real-time performance requirements. Unlike text agents, realtime agents do **not** raise an Exception when guardrails are tripped. + +## Audio processing + +Send audio to the session using [`session.send_audio(audio_bytes)`][agents.realtime.session.RealtimeSession.send_audio] or send text using [`session.send_message()`][agents.realtime.session.RealtimeSession.send_message]. + +For audio output, listen for `audio` events and play the audio data through your preferred audio library. Make sure to listen for `audio_interrupted` events to stop playback immediately and clear any queued audio when the user interrupts the agent. + +## Examples + +For complete working examples, check out the [examples/realtime directory](https://github.com/openai/openai-agents-python/tree/main/examples/realtime) which includes demos with and without UI components. diff --git a/docs/realtime/quickstart.md b/docs/realtime/quickstart.md new file mode 100644 index 000000000..2cee550ea --- /dev/null +++ b/docs/realtime/quickstart.md @@ -0,0 +1,175 @@ +# Quickstart + +Realtime agents enable voice conversations with your AI agents using OpenAI's Realtime API. This guide walks you through creating your first realtime voice agent. + +!!! warning "Beta feature" +Realtime agents are in beta. Expect some breaking changes as we improve the implementation. + +## Prerequisites + +- Python 3.9 or higher +- OpenAI API key +- Basic familiarity with the OpenAI Agents SDK + +## Installation + +If you haven't already, install the OpenAI Agents SDK: + +```bash +pip install openai-agents +``` + +## Creating your first realtime agent + +### 1. Import required components + +```python +import asyncio +from agents.realtime import RealtimeAgent, RealtimeRunner +``` + +### 2. Create a realtime agent + +```python +agent = RealtimeAgent( + name="Assistant", + instructions="You are a helpful voice assistant. Keep your responses conversational and friendly.", +) +``` + +### 3. Set up the runner + +```python +runner = RealtimeRunner( + starting_agent=agent, + config={ + "model_settings": { + "model_name": "gpt-4o-realtime-preview", + "voice": "alloy", + "modalities": ["text", "audio"], + } + } +) +``` + +### 4. Start a session + +```python +async def main(): + # Start the realtime session + session = await runner.run() + + async with session: + # Send a text message to start the conversation + await session.send_message("Hello! How are you today?") + + # The agent will stream back audio in real-time (not shown in this example) + # Listen for events from the session + async for event in session: + if event.type == "response.audio_transcript.done": + print(f"Assistant: {event.transcript}") + elif event.type == "conversation.item.input_audio_transcription.completed": + print(f"User: {event.transcript}") + +# Run the session +asyncio.run(main()) +``` + +## Complete example + +Here's a complete working example: + +```python +import asyncio +from agents.realtime import RealtimeAgent, RealtimeRunner + +async def main(): + # Create the agent + agent = RealtimeAgent( + name="Assistant", + instructions="You are a helpful voice assistant. Keep responses brief and conversational.", + ) + + # Set up the runner with configuration + runner = RealtimeRunner( + starting_agent=agent, + config={ + "model_settings": { + "model_name": "gpt-4o-realtime-preview", + "voice": "alloy", + "modalities": ["text", "audio"], + "input_audio_transcription": { + "model": "whisper-1" + }, + "turn_detection": { + "type": "server_vad", + "threshold": 0.5, + "prefix_padding_ms": 300, + "silence_duration_ms": 200 + } + } + } + ) + + # Start the session + session = await runner.run() + + async with session: + print("Session started! The agent will stream audio responses in real-time.") + + # Process events + async for event in session: + if event.type == "response.audio_transcript.done": + print(f"Assistant: {event.transcript}") + elif event.type == "conversation.item.input_audio_transcription.completed": + print(f"User: {event.transcript}") + elif event.type == "error": + print(f"Error: {event.error}") + break + +if __name__ == "__main__": + asyncio.run(main()) +``` + +## Configuration options + +### Model settings + +- `model_name`: Choose from available realtime models (e.g., `gpt-4o-realtime-preview`) +- `voice`: Select voice (`alloy`, `echo`, `fable`, `onyx`, `nova`, `shimmer`) +- `modalities`: Enable text and/or audio (`["text", "audio"]`) + +### Audio settings + +- `input_audio_format`: Format for input audio (`pcm16`, `g711_ulaw`, `g711_alaw`) +- `output_audio_format`: Format for output audio +- `input_audio_transcription`: Transcription configuration + +### Turn detection + +- `type`: Detection method (`server_vad`, `semantic_vad`) +- `threshold`: Voice activity threshold (0.0-1.0) +- `silence_duration_ms`: Silence duration to detect turn end +- `prefix_padding_ms`: Audio padding before speech + +## Next steps + +- [Learn more about realtime agents](guide.md) +- Check out working examples in the [examples/realtime](https://github.com/openai/openai-agents-python/tree/main/examples/realtime) folder +- Add tools to your agent +- Implement handoffs between agents +- Set up guardrails for safety + +## Authentication + +Make sure your OpenAI API key is set in your environment: + +```bash +export OPENAI_API_KEY="your-api-key-here" +``` + +Or pass it directly when creating the session: + +```python +session = await runner.run(model_config={"api_key": "your-api-key"}) +``` diff --git a/docs/ref/realtime/agent.md b/docs/ref/realtime/agent.md new file mode 100644 index 000000000..d90833920 --- /dev/null +++ b/docs/ref/realtime/agent.md @@ -0,0 +1,3 @@ +# `RealtimeAgent` + +::: agents.realtime.agent.RealtimeAgent \ No newline at end of file diff --git a/docs/ref/realtime/config.md b/docs/ref/realtime/config.md new file mode 100644 index 000000000..3e50f47ad --- /dev/null +++ b/docs/ref/realtime/config.md @@ -0,0 +1,41 @@ +# Realtime Configuration + +## Run Configuration + +::: agents.realtime.config.RealtimeRunConfig + +## Model Settings + +::: agents.realtime.config.RealtimeSessionModelSettings + +## Audio Configuration + +::: agents.realtime.config.RealtimeInputAudioTranscriptionConfig +::: agents.realtime.config.RealtimeTurnDetectionConfig + +## Guardrails Settings + +::: agents.realtime.config.RealtimeGuardrailsSettings + +## Model Configuration + +::: agents.realtime.model.RealtimeModelConfig + +## Tracing Configuration + +::: agents.realtime.config.RealtimeModelTracingConfig + +## User Input Types + +::: agents.realtime.config.RealtimeUserInput +::: agents.realtime.config.RealtimeUserInputText +::: agents.realtime.config.RealtimeUserInputMessage + +## Client Messages + +::: agents.realtime.config.RealtimeClientMessage + +## Type Aliases + +::: agents.realtime.config.RealtimeModelName +::: agents.realtime.config.RealtimeAudioFormat \ No newline at end of file diff --git a/docs/ref/realtime/events.md b/docs/ref/realtime/events.md new file mode 100644 index 000000000..137d9a643 --- /dev/null +++ b/docs/ref/realtime/events.md @@ -0,0 +1,36 @@ +# Realtime Events + +## Session Events + +::: agents.realtime.events.RealtimeSessionEvent + +## Event Types + +### Agent Events +::: agents.realtime.events.RealtimeAgentStartEvent +::: agents.realtime.events.RealtimeAgentEndEvent + +### Audio Events +::: agents.realtime.events.RealtimeAudio +::: agents.realtime.events.RealtimeAudioEnd +::: agents.realtime.events.RealtimeAudioInterrupted + +### Tool Events +::: agents.realtime.events.RealtimeToolStart +::: agents.realtime.events.RealtimeToolEnd + +### Handoff Events +::: agents.realtime.events.RealtimeHandoffEvent + +### Guardrail Events +::: agents.realtime.events.RealtimeGuardrailTripped + +### History Events +::: agents.realtime.events.RealtimeHistoryAdded +::: agents.realtime.events.RealtimeHistoryUpdated + +### Error Events +::: agents.realtime.events.RealtimeError + +### Raw Model Events +::: agents.realtime.events.RealtimeRawModelEvent \ No newline at end of file diff --git a/docs/ref/realtime/runner.md b/docs/ref/realtime/runner.md new file mode 100644 index 000000000..b2d26bba5 --- /dev/null +++ b/docs/ref/realtime/runner.md @@ -0,0 +1,3 @@ +# `RealtimeRunner` + +::: agents.realtime.runner.RealtimeRunner \ No newline at end of file diff --git a/docs/ref/realtime/session.md b/docs/ref/realtime/session.md new file mode 100644 index 000000000..52ad0b09e --- /dev/null +++ b/docs/ref/realtime/session.md @@ -0,0 +1,3 @@ +# `RealtimeSession` + +::: agents.realtime.session.RealtimeSession \ No newline at end of file diff --git a/mkdocs.yml b/mkdocs.yml index 19529bf30..9e7f7aeec 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -78,6 +78,9 @@ plugins: - voice/quickstart.md - voice/pipeline.md - voice/tracing.md + - Realtime agents: + - realtime/quickstart.md + - realtime/guide.md - API Reference: - Agents: - ref/index.md @@ -115,6 +118,12 @@ plugins: - ref/tracing/setup.md - ref/tracing/span_data.md - ref/tracing/util.md + - Realtime: + - ref/realtime/agent.md + - ref/realtime/runner.md + - ref/realtime/session.md + - ref/realtime/events.md + - ref/realtime/config.md - Voice: - ref/voice/pipeline.md - ref/voice/workflow.md @@ -163,6 +172,9 @@ plugins: - voice/quickstart.md - voice/pipeline.md - voice/tracing.md + - リアルタイムエージェント: + - realtime/quickstart.md + - realtime/guide.md extra: # Remove material generation message in footer diff --git a/src/agents/realtime/config.py b/src/agents/realtime/config.py index 6e7e3f4be..f8a203589 100644 --- a/src/agents/realtime/config.py +++ b/src/agents/realtime/config.py @@ -28,53 +28,95 @@ RealtimeAudioFormat: TypeAlias = Union[Literal["pcm16", "g711_ulaw", "g711_alaw"], str] +"""The audio format for realtime audio streams.""" class RealtimeClientMessage(TypedDict): """A raw message to be sent to the model.""" type: str # explicitly required + """The type of the message.""" + other_data: NotRequired[dict[str, Any]] """Merged into the message body.""" class RealtimeInputAudioTranscriptionConfig(TypedDict): + """Configuration for audio transcription in realtime sessions.""" + language: NotRequired[str] + """The language code for transcription.""" + model: NotRequired[Literal["gpt-4o-transcribe", "gpt-4o-mini-transcribe", "whisper-1"] | str] + """The transcription model to use.""" + prompt: NotRequired[str] + """An optional prompt to guide transcription.""" class RealtimeTurnDetectionConfig(TypedDict): """Turn detection config. Allows extra vendor keys if needed.""" type: NotRequired[Literal["semantic_vad", "server_vad"]] + """The type of voice activity detection to use.""" + create_response: NotRequired[bool] + """Whether to create a response when a turn is detected.""" + eagerness: NotRequired[Literal["auto", "low", "medium", "high"]] + """How eagerly to detect turn boundaries.""" + interrupt_response: NotRequired[bool] + """Whether to allow interrupting the assistant's response.""" + prefix_padding_ms: NotRequired[int] + """Padding time in milliseconds before turn detection.""" + silence_duration_ms: NotRequired[int] + """Duration of silence in milliseconds to trigger turn detection.""" + threshold: NotRequired[float] + """The threshold for voice activity detection.""" class RealtimeSessionModelSettings(TypedDict): """Model settings for a realtime model session.""" model_name: NotRequired[RealtimeModelName] + """The name of the realtime model to use.""" instructions: NotRequired[str] + """System instructions for the model.""" + modalities: NotRequired[list[Literal["text", "audio"]]] + """The modalities the model should support.""" + voice: NotRequired[str] + """The voice to use for audio output.""" input_audio_format: NotRequired[RealtimeAudioFormat] + """The format for input audio streams.""" + output_audio_format: NotRequired[RealtimeAudioFormat] + """The format for output audio streams.""" + input_audio_transcription: NotRequired[RealtimeInputAudioTranscriptionConfig] + """Configuration for transcribing input audio.""" + turn_detection: NotRequired[RealtimeTurnDetectionConfig] + """Configuration for detecting conversation turns.""" tool_choice: NotRequired[ToolChoice] + """How the model should choose which tools to call.""" + tools: NotRequired[list[Tool]] + """List of tools available to the model.""" + handoffs: NotRequired[list[Handoff]] + """List of handoff configurations.""" tracing: NotRequired[RealtimeModelTracingConfig | None] + """Configuration for request tracing.""" class RealtimeGuardrailsSettings(TypedDict): @@ -102,7 +144,10 @@ class RealtimeModelTracingConfig(TypedDict): class RealtimeRunConfig(TypedDict): + """Configuration for running a realtime agent session.""" + model_settings: NotRequired[RealtimeSessionModelSettings] + """Settings for the realtime model session.""" output_guardrails: NotRequired[list[OutputGuardrail[Any]]] """List of output guardrails to run on the agent's responses.""" @@ -117,14 +162,27 @@ class RealtimeRunConfig(TypedDict): class RealtimeUserInputText(TypedDict): + """A text input from the user.""" + type: Literal["input_text"] + """The type identifier for text input.""" + text: str + """The text content from the user.""" class RealtimeUserInputMessage(TypedDict): + """A message input from the user.""" + type: Literal["message"] + """The type identifier for message inputs.""" + role: Literal["user"] + """The role identifier for user messages.""" + content: list[RealtimeUserInputText] + """List of text content items in the message.""" RealtimeUserInput: TypeAlias = Union[str, RealtimeUserInputMessage] +"""User input that can be a string or structured message.""" diff --git a/src/agents/realtime/items.py b/src/agents/realtime/items.py index fc05ebc51..f8a288145 100644 --- a/src/agents/realtime/items.py +++ b/src/agents/realtime/items.py @@ -6,68 +6,127 @@ class InputText(BaseModel): + """Text input content for realtime messages.""" + type: Literal["input_text"] = "input_text" + """The type identifier for text input.""" + text: str | None = None + """The text content.""" # Allow extra data model_config = ConfigDict(extra="allow") class InputAudio(BaseModel): + """Audio input content for realtime messages.""" + type: Literal["input_audio"] = "input_audio" + """The type identifier for audio input.""" + audio: str | None = None + """The base64-encoded audio data.""" + transcript: str | None = None + """The transcript of the audio, if available.""" # Allow extra data model_config = ConfigDict(extra="allow") class AssistantText(BaseModel): + """Text content from the assistant in realtime responses.""" + type: Literal["text"] = "text" + """The type identifier for text content.""" + text: str | None = None + """The text content from the assistant.""" # Allow extra data model_config = ConfigDict(extra="allow") class AssistantAudio(BaseModel): + """Audio content from the assistant in realtime responses.""" + type: Literal["audio"] = "audio" + """The type identifier for audio content.""" + audio: str | None = None + """The base64-encoded audio data from the assistant.""" + transcript: str | None = None + """The transcript of the audio response.""" # Allow extra data model_config = ConfigDict(extra="allow") class SystemMessageItem(BaseModel): + """A system message item in realtime conversations.""" + item_id: str + """Unique identifier for this message item.""" + previous_item_id: str | None = None + """ID of the previous item in the conversation.""" + type: Literal["message"] = "message" + """The type identifier for message items.""" + role: Literal["system"] = "system" + """The role identifier for system messages.""" + content: list[InputText] + """List of text content for the system message.""" # Allow extra data model_config = ConfigDict(extra="allow") class UserMessageItem(BaseModel): + """A user message item in realtime conversations.""" + item_id: str + """Unique identifier for this message item.""" + previous_item_id: str | None = None + """ID of the previous item in the conversation.""" + type: Literal["message"] = "message" + """The type identifier for message items.""" + role: Literal["user"] = "user" + """The role identifier for user messages.""" + content: list[Annotated[InputText | InputAudio, Field(discriminator="type")]] + """List of content items, can be text or audio.""" # Allow extra data model_config = ConfigDict(extra="allow") class AssistantMessageItem(BaseModel): + """An assistant message item in realtime conversations.""" + item_id: str + """Unique identifier for this message item.""" + previous_item_id: str | None = None + """ID of the previous item in the conversation.""" + type: Literal["message"] = "message" + """The type identifier for message items.""" + role: Literal["assistant"] = "assistant" + """The role identifier for assistant messages.""" + status: Literal["in_progress", "completed", "incomplete"] | None = None + """The status of the assistant's response.""" + content: list[Annotated[AssistantText | AssistantAudio, Field(discriminator="type")]] + """List of content items from the assistant, can be text or audio.""" # Allow extra data model_config = ConfigDict(extra="allow") @@ -77,25 +136,49 @@ class AssistantMessageItem(BaseModel): Union[SystemMessageItem, UserMessageItem, AssistantMessageItem], Field(discriminator="role"), ] +"""A message item that can be from system, user, or assistant.""" class RealtimeToolCallItem(BaseModel): + """A tool call item in realtime conversations.""" + item_id: str + """Unique identifier for this tool call item.""" + previous_item_id: str | None = None + """ID of the previous item in the conversation.""" + call_id: str | None + """The call ID for this tool invocation.""" + type: Literal["function_call"] = "function_call" + """The type identifier for function call items.""" + status: Literal["in_progress", "completed"] + """The status of the tool call execution.""" + arguments: str + """The JSON string arguments passed to the tool.""" + name: str + """The name of the tool being called.""" + output: str | None = None + """The output result from the tool execution.""" # Allow extra data model_config = ConfigDict(extra="allow") RealtimeItem = Union[RealtimeMessageItem, RealtimeToolCallItem] +"""A realtime item that can be a message or tool call.""" class RealtimeResponse(BaseModel): + """A response from the realtime model.""" + id: str + """Unique identifier for this response.""" + output: list[RealtimeMessageItem] + """List of message items in the response.""" From 9ab6c0d83224812cbb0f63d257407937471ddaa7 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 16 Jul 2025 15:56:41 -0400 Subject: [PATCH 260/337] v0.2.1 --- pyproject.toml | 2 +- uv.lock | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index ba0fd60d2..b72ccd594 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "openai-agents" -version = "0.2.0" +version = "0.2.1" description = "OpenAI Agents SDK" readme = "README.md" requires-python = ">=3.9" diff --git a/uv.lock b/uv.lock index 1427afd24..2e14dd804 100644 --- a/uv.lock +++ b/uv.lock @@ -1482,7 +1482,7 @@ wheels = [ [[package]] name = "openai-agents" -version = "0.2.0" +version = "0.2.1" source = { editable = "." } dependencies = [ { name = "griffe" }, From 85448bcd8da1341a18aaaa8970ecafa684ea6de4 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Thu, 17 Jul 2025 12:55:00 -0400 Subject: [PATCH 261/337] Realtime: only update model settings from session ### Summary: Was running into bugs. Because the model settings were being set from both runner and session, and that was causing issues. Among other things, handoffs were broken because the runner wasn't reading them, and the session wasn't setting them in the connect() call. ### Test Plan: Unit tests. --- src/agents/realtime/runner.py | 44 +-------- src/agents/realtime/session.py | 30 +++++-- tests/realtime/test_runner.py | 149 ++++++++++++++++++------------- tests/realtime/test_session.py | 113 +++++++++++++++++++++++ tests/realtime/test_tracing.py | 45 +++++----- tests/test_session_exceptions.py | 2 + 6 files changed, 246 insertions(+), 137 deletions(-) diff --git a/src/agents/realtime/runner.py b/src/agents/realtime/runner.py index a7047a6f5..e51a094d8 100644 --- a/src/agents/realtime/runner.py +++ b/src/agents/realtime/runner.py @@ -2,13 +2,10 @@ from __future__ import annotations -import asyncio - -from ..run_context import RunContextWrapper, TContext +from ..run_context import TContext from .agent import RealtimeAgent from .config import ( RealtimeRunConfig, - RealtimeSessionModelSettings, ) from .model import ( RealtimeModel, @@ -67,16 +64,6 @@ async def run( print(event) ``` """ - model_settings = await self._get_model_settings( - agent=self._starting_agent, - disable_tracing=self._config.get("tracing_disabled", False) if self._config else False, - initial_settings=model_config.get("initial_model_settings") if model_config else None, - overrides=self._config.get("model_settings") if self._config else None, - ) - - model_config = model_config.copy() if model_config else {} - model_config["initial_model_settings"] = model_settings - # Create and return the connection session = RealtimeSession( model=self._model, @@ -87,32 +74,3 @@ async def run( ) return session - - async def _get_model_settings( - self, - agent: RealtimeAgent, - disable_tracing: bool, - context: TContext | None = None, - initial_settings: RealtimeSessionModelSettings | None = None, - overrides: RealtimeSessionModelSettings | None = None, - ) -> RealtimeSessionModelSettings: - context_wrapper = RunContextWrapper(context) - model_settings = initial_settings.copy() if initial_settings else {} - - instructions, tools = await asyncio.gather( - agent.get_system_prompt(context_wrapper), - agent.get_all_tools(context_wrapper), - ) - - if instructions is not None: - model_settings["instructions"] = instructions - if tools is not None: - model_settings["tools"] = tools - - if overrides: - model_settings.update(overrides) - - if disable_tracing: - model_settings["tracing"] = None - - return model_settings diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index 6df35b438..83e56d5fc 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -114,8 +114,13 @@ async def __aenter__(self) -> RealtimeSession: # Add ourselves as a listener self._model.add_listener(self) + model_config = self._model_config.copy() + model_config["initial_model_settings"] = await self._get_updated_model_settings_from_agent( + self._current_agent + ) + # Connect to the model - await self._model.connect(self._model_config) + await self._model.connect(model_config) # Emit initial history update await self._put_event( @@ -319,7 +324,9 @@ async def _handle_tool_call(self, event: RealtimeModelToolCallEvent) -> None: self._current_agent = result # Get updated model settings from new agent - updated_settings = await self._get__updated_model_settings(self._current_agent) + updated_settings = await self._get_updated_model_settings_from_agent( + self._current_agent + ) # Send handoff event await self._put_event( @@ -495,19 +502,28 @@ async def _cleanup(self) -> None: # Mark as closed self._closed = True - async def _get__updated_model_settings( - self, new_agent: RealtimeAgent + async def _get_updated_model_settings_from_agent( + self, + agent: RealtimeAgent, ) -> RealtimeSessionModelSettings: updated_settings: RealtimeSessionModelSettings = {} instructions, tools, handoffs = await asyncio.gather( - new_agent.get_system_prompt(self._context_wrapper), - new_agent.get_all_tools(self._context_wrapper), - self._get_handoffs(new_agent, self._context_wrapper), + agent.get_system_prompt(self._context_wrapper), + agent.get_all_tools(self._context_wrapper), + self._get_handoffs(agent, self._context_wrapper), ) updated_settings["instructions"] = instructions or "" updated_settings["tools"] = tools or [] updated_settings["handoffs"] = handoffs or [] + # Override with initial settings + initial_settings = self._model_config.get("initial_model_settings", {}) + updated_settings.update(initial_settings) + + disable_tracing = self._run_config.get("tracing_disabled", False) + if disable_tracing: + updated_settings["tracing"] = None + return updated_settings @classmethod diff --git a/tests/realtime/test_runner.py b/tests/realtime/test_runner.py index aabdff140..1e6eccbae 100644 --- a/tests/realtime/test_runner.py +++ b/tests/realtime/test_runner.py @@ -1,18 +1,21 @@ from unittest.mock import AsyncMock, Mock, patch import pytest -from inline_snapshot import snapshot from agents.realtime.agent import RealtimeAgent from agents.realtime.config import RealtimeRunConfig, RealtimeSessionModelSettings from agents.realtime.model import RealtimeModel, RealtimeModelConfig from agents.realtime.runner import RealtimeRunner from agents.realtime.session import RealtimeSession +from agents.tool import function_tool class MockRealtimeModel(RealtimeModel): + def __init__(self): + self.connect_args = None + async def connect(self, options=None): - pass + self.connect_args = options def add_listener(self, listener): pass @@ -53,7 +56,9 @@ def mock_model(): @pytest.mark.asyncio -async def test_run_creates_session_with_no_settings(mock_agent, mock_model): +async def test_run_creates_session_with_no_settings( + mock_agent: Mock, mock_model: MockRealtimeModel +): """Test that run() creates a session correctly if no settings are provided""" runner = RealtimeRunner(mock_agent, model=mock_model) @@ -71,22 +76,17 @@ async def test_run_creates_session_with_no_settings(mock_agent, mock_model): assert call_args[1]["agent"] == mock_agent assert call_args[1]["context"] is None - # Verify model_config contains expected settings from agent + # With no settings provided, model_config should be None model_config = call_args[1]["model_config"] - assert model_config == snapshot( - { - "initial_model_settings": { - "instructions": "Test instructions", - "tools": [{"type": "function", "name": "test_tool"}], - } - } - ) + assert model_config is None assert session == mock_session @pytest.mark.asyncio -async def test_run_creates_session_with_settings_only_in_init(mock_agent, mock_model): +async def test_run_creates_session_with_settings_only_in_init( + mock_agent: Mock, mock_model: MockRealtimeModel +): """Test that it creates a session with the right settings if they are provided only in init""" config = RealtimeRunConfig( model_settings=RealtimeSessionModelSettings(model_name="gpt-4o-realtime", voice="nova") @@ -99,28 +99,19 @@ async def test_run_creates_session_with_settings_only_in_init(mock_agent, mock_m _ = await runner.run() - # Verify session was created with config overrides + # Verify session was created - runner no longer processes settings call_args = mock_session_class.call_args model_config = call_args[1]["model_config"] - # Should have agent settings plus config overrides - assert model_config == snapshot( - { - "initial_model_settings": { - "instructions": "Test instructions", - "tools": [{"type": "function", "name": "test_tool"}], - "model_name": "gpt-4o-realtime", - "voice": "nova", - } - } - ) + # Runner should pass None for model_config when none provided to run() + assert model_config is None @pytest.mark.asyncio async def test_run_creates_session_with_settings_in_both_init_and_run_overrides( - mock_agent, mock_model + mock_agent: Mock, mock_model: MockRealtimeModel ): - """Test settings in both init and run() - init should override run()""" + """Test settings provided in run() parameter are passed through""" init_config = RealtimeRunConfig( model_settings=RealtimeSessionModelSettings(model_name="gpt-4o-realtime", voice="nova") ) @@ -138,26 +129,18 @@ async def test_run_creates_session_with_settings_in_both_init_and_run_overrides( _ = await runner.run(model_config=run_model_config) - # Verify run() settings override init settings + # Verify run() model_config is passed through as-is call_args = mock_session_class.call_args model_config = call_args[1]["model_config"] - # Should have agent settings, then init config, then run config overrides - assert model_config == snapshot( - { - "initial_model_settings": { - "voice": "nova", - "input_audio_format": "pcm16", - "instructions": "Test instructions", - "tools": [{"type": "function", "name": "test_tool"}], - "model_name": "gpt-4o-realtime", - } - } - ) + # Runner should pass the model_config from run() parameter directly + assert model_config == run_model_config @pytest.mark.asyncio -async def test_run_creates_session_with_settings_only_in_run(mock_agent, mock_model): +async def test_run_creates_session_with_settings_only_in_run( + mock_agent: Mock, mock_model: MockRealtimeModel +): """Test settings provided only in run()""" runner = RealtimeRunner(mock_agent, model=mock_model) @@ -173,26 +156,16 @@ async def test_run_creates_session_with_settings_only_in_run(mock_agent, mock_mo _ = await runner.run(model_config=run_model_config) - # Verify run() settings are applied + # Verify run() model_config is passed through as-is call_args = mock_session_class.call_args model_config = call_args[1]["model_config"] - # Should have agent settings plus run() settings - assert model_config == snapshot( - { - "initial_model_settings": { - "model_name": "gpt-4o-realtime-preview", - "voice": "shimmer", - "modalities": ["text", "audio"], - "instructions": "Test instructions", - "tools": [{"type": "function", "name": "test_tool"}], - } - } - ) + # Runner should pass the model_config from run() parameter directly + assert model_config == run_model_config @pytest.mark.asyncio -async def test_run_with_context_parameter(mock_agent, mock_model): +async def test_run_with_context_parameter(mock_agent: Mock, mock_model: MockRealtimeModel): """Test that context parameter is passed through to session""" runner = RealtimeRunner(mock_agent, model=mock_model) test_context = {"user_id": "test123"} @@ -208,17 +181,69 @@ async def test_run_with_context_parameter(mock_agent, mock_model): @pytest.mark.asyncio -async def test_get_model_settings_with_none_values(mock_model): - """Test _get_model_settings handles None values from agent properly""" +async def test_run_with_none_values_from_agent_does_not_crash(mock_model: MockRealtimeModel): + """Test that runner handles agents with None values without crashing""" agent = Mock(spec=RealtimeAgent) agent.get_system_prompt = AsyncMock(return_value=None) agent.get_all_tools = AsyncMock(return_value=None) runner = RealtimeRunner(agent, model=mock_model) - with patch("agents.realtime.runner.RealtimeSession"): - await runner.run() + with patch("agents.realtime.runner.RealtimeSession") as mock_session_class: + mock_session = Mock(spec=RealtimeSession) + mock_session_class.return_value = mock_session + + session = await runner.run() + + # Should not crash and return session + assert session == mock_session + # Runner no longer calls agent methods directly - session does that + agent.get_system_prompt.assert_not_called() + agent.get_all_tools.assert_not_called() + + +@pytest.mark.asyncio +async def test_tool_and_handoffs_are_correct(mock_model: MockRealtimeModel): + @function_tool + def tool_one(): + return "result_one" + + agent_1 = RealtimeAgent( + name="one", + instructions="instr_one", + ) + agent_2 = RealtimeAgent( + name="two", + instructions="instr_two", + tools=[tool_one], + handoffs=[agent_1], + ) + + session = RealtimeSession( + model=mock_model, + agent=agent_2, + context=None, + model_config=None, + run_config=None, + ) + + async with session: + pass - # Should not crash and agent methods should be called - agent.get_system_prompt.assert_called_once() - agent.get_all_tools.assert_called_once() + # Assert that the model.connect() was called with the correct settings + connect_args = mock_model.connect_args + assert connect_args is not None + assert isinstance(connect_args, dict) + initial_model_settings = connect_args["initial_model_settings"] + assert initial_model_settings is not None + assert isinstance(initial_model_settings, dict) + assert initial_model_settings["instructions"] == "instr_two" + assert len(initial_model_settings["tools"]) == 1 + tool = initial_model_settings["tools"][0] + assert tool.name == "tool_one" + + handoffs = initial_model_settings["handoffs"] + assert len(handoffs) == 1 + handoff = handoffs[0] + assert handoff.tool_name == "transfer_to_one" + assert handoff.agent_name == "one" diff --git a/tests/realtime/test_session.py b/tests/realtime/test_session.py index 7c1eb53ff..60fc8cb22 100644 --- a/tests/realtime/test_session.py +++ b/tests/realtime/test_session.py @@ -1206,3 +1206,116 @@ def guardrail_func(context, agent, output): guardrail_events = [e for e in events if isinstance(e, RealtimeGuardrailTripped)] assert len(guardrail_events) == 1 assert len(guardrail_events[0].guardrail_results) == 2 + + +class TestModelSettingsIntegration: + """Test suite for model settings integration in RealtimeSession.""" + + @pytest.mark.asyncio + async def test_session_gets_model_settings_from_agent_during_connection(self): + """Test that session properly gets model settings from agent during __aenter__.""" + # Create mock model that records the config passed to connect() + mock_model = Mock(spec=RealtimeModel) + mock_model.connect = AsyncMock() + mock_model.add_listener = Mock() + + # Create agent with specific settings + agent = Mock(spec=RealtimeAgent) + agent.get_system_prompt = AsyncMock(return_value="Test agent instructions") + agent.get_all_tools = AsyncMock(return_value=[{"type": "function", "name": "test_tool"}]) + agent.handoffs = [] + + session = RealtimeSession(mock_model, agent, None) + + # Connect the session + await session.__aenter__() + + # Verify model.connect was called with settings from agent + mock_model.connect.assert_called_once() + connect_config = mock_model.connect.call_args[0][0] + + initial_settings = connect_config["initial_model_settings"] + assert initial_settings["instructions"] == "Test agent instructions" + assert initial_settings["tools"] == [{"type": "function", "name": "test_tool"}] + assert initial_settings["handoffs"] == [] + + await session.__aexit__(None, None, None) + + @pytest.mark.asyncio + async def test_model_config_overrides_agent_settings(self): + """Test that initial_model_settings from model_config override agent settings.""" + mock_model = Mock(spec=RealtimeModel) + mock_model.connect = AsyncMock() + mock_model.add_listener = Mock() + + agent = Mock(spec=RealtimeAgent) + agent.get_system_prompt = AsyncMock(return_value="Agent instructions") + agent.get_all_tools = AsyncMock(return_value=[{"type": "function", "name": "agent_tool"}]) + agent.handoffs = [] + + # Provide model config with overrides + model_config = { + "initial_model_settings": { + "instructions": "Override instructions", + "voice": "nova", + "model_name": "gpt-4o-realtime" + } + } + + session = RealtimeSession(mock_model, agent, None, model_config=model_config) + + await session.__aenter__() + + # Verify overrides were applied + connect_config = mock_model.connect.call_args[0][0] + initial_settings = connect_config["initial_model_settings"] + + # Should have override values + assert initial_settings["instructions"] == "Override instructions" + assert initial_settings["voice"] == "nova" + assert initial_settings["model_name"] == "gpt-4o-realtime" + # Should still have agent tools since not overridden + assert initial_settings["tools"] == [{"type": "function", "name": "agent_tool"}] + + await session.__aexit__(None, None, None) + + @pytest.mark.asyncio + async def test_handoffs_are_included_in_model_settings(self): + """Test that handoffs from agent are properly processed into model settings.""" + mock_model = Mock(spec=RealtimeModel) + mock_model.connect = AsyncMock() + mock_model.add_listener = Mock() + + # Create agent with handoffs + agent = Mock(spec=RealtimeAgent) + agent.get_system_prompt = AsyncMock(return_value="Agent with handoffs") + agent.get_all_tools = AsyncMock(return_value=[]) + + # Create a mock handoff + handoff_agent = Mock(spec=RealtimeAgent) + handoff_agent.name = "handoff_target" + + mock_handoff = Mock(spec=Handoff) + mock_handoff.tool_name = "transfer_to_specialist" + mock_handoff.is_enabled = True + + agent.handoffs = [handoff_agent] # Agent handoff + + # Mock the _get_handoffs method since it's complex + with pytest.MonkeyPatch().context() as m: + async def mock_get_handoffs(cls, agent, context_wrapper): + return [mock_handoff] + + m.setattr("agents.realtime.session.RealtimeSession._get_handoffs", mock_get_handoffs) + + session = RealtimeSession(mock_model, agent, None) + + await session.__aenter__() + + # Verify handoffs were included + connect_config = mock_model.connect.call_args[0][0] + initial_settings = connect_config["initial_model_settings"] + + assert initial_settings["handoffs"] == [mock_handoff] + + await session.__aexit__(None, None, None) diff --git a/tests/realtime/test_tracing.py b/tests/realtime/test_tracing.py index 85da63897..2dbc332c2 100644 --- a/tests/realtime/test_tracing.py +++ b/tests/realtime/test_tracing.py @@ -220,35 +220,30 @@ async def async_websocket(*args, **kwargs): async def test_tracing_disabled_prevents_tracing(self, mock_websocket): """Test that tracing_disabled=True prevents tracing configuration.""" from agents.realtime.agent import RealtimeAgent - from agents.realtime.runner import RealtimeRunner + from agents.realtime.session import RealtimeSession + from agents.realtime.model import RealtimeModel + from unittest.mock import Mock - # Create a test agent and runner with tracing disabled + # Create a test agent and mock model agent = RealtimeAgent(name="test_agent", instructions="test") - - runner = RealtimeRunner(starting_agent=agent, config={"tracing_disabled": True}) - - # Test the _get_model_settings method directly since that's where the logic is - model_settings = await runner._get_model_settings( + agent.get_system_prompt = AsyncMock(return_value="test instructions") + agent.get_all_tools = AsyncMock(return_value=[]) + agent.handoffs = [] + + mock_model = Mock(spec=RealtimeModel) + + # Create session with tracing disabled + run_config = {"tracing_disabled": True} + session = RealtimeSession( + model=mock_model, agent=agent, - disable_tracing=True, # This should come from config["tracing_disabled"] - initial_settings=None, - overrides=None, + context=None, + model_config=None, + run_config=run_config, ) + # Test the _get_updated_model_settings_from_agent method directly + model_settings = await session._get_updated_model_settings_from_agent(agent) + # When tracing is disabled, model settings should have tracing=None assert model_settings["tracing"] is None - - # Also test that the runner passes disable_tracing=True correctly - with patch.object(runner, "_get_model_settings") as mock_get_settings: - mock_get_settings.return_value = {"tracing": None} - - with patch("agents.realtime.session.RealtimeSession") as mock_session_class: - mock_session = AsyncMock() - mock_session_class.return_value = mock_session - - await runner.run() - - # Verify that _get_model_settings was called with disable_tracing=True - mock_get_settings.assert_called_once_with( - agent=agent, disable_tracing=True, initial_settings=None, overrides=None - ) diff --git a/tests/test_session_exceptions.py b/tests/test_session_exceptions.py index a454cca92..da9390236 100644 --- a/tests/test_session_exceptions.py +++ b/tests/test_session_exceptions.py @@ -90,6 +90,8 @@ def fake_agent(): """Create a fake agent for testing.""" agent = Mock() agent.get_all_tools = AsyncMock(return_value=[]) + agent.get_system_prompt = AsyncMock(return_value="test instructions") + agent.handoffs = [] return agent From 1091653ca48cf023c3009cd93b8e6df66febb21e Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Thu, 17 Jul 2025 12:55:00 -0400 Subject: [PATCH 262/337] Realtime: only update model settings from session ### Summary: Was running into bugs. Because the model settings were being set from both runner and session, and that was causing issues. Among other things, handoffs were broken because the runner wasn't reading them, and the session wasn't setting them in the connect() call. ### Test Plan: Unit tests. --- src/agents/realtime/runner.py | 44 +-------- src/agents/realtime/session.py | 30 +++++-- tests/realtime/test_runner.py | 149 ++++++++++++++++++------------- tests/realtime/test_session.py | 116 +++++++++++++++++++++++- tests/realtime/test_tracing.py | 41 ++++----- tests/test_session_exceptions.py | 2 + 6 files changed, 244 insertions(+), 138 deletions(-) diff --git a/src/agents/realtime/runner.py b/src/agents/realtime/runner.py index a7047a6f5..e51a094d8 100644 --- a/src/agents/realtime/runner.py +++ b/src/agents/realtime/runner.py @@ -2,13 +2,10 @@ from __future__ import annotations -import asyncio - -from ..run_context import RunContextWrapper, TContext +from ..run_context import TContext from .agent import RealtimeAgent from .config import ( RealtimeRunConfig, - RealtimeSessionModelSettings, ) from .model import ( RealtimeModel, @@ -67,16 +64,6 @@ async def run( print(event) ``` """ - model_settings = await self._get_model_settings( - agent=self._starting_agent, - disable_tracing=self._config.get("tracing_disabled", False) if self._config else False, - initial_settings=model_config.get("initial_model_settings") if model_config else None, - overrides=self._config.get("model_settings") if self._config else None, - ) - - model_config = model_config.copy() if model_config else {} - model_config["initial_model_settings"] = model_settings - # Create and return the connection session = RealtimeSession( model=self._model, @@ -87,32 +74,3 @@ async def run( ) return session - - async def _get_model_settings( - self, - agent: RealtimeAgent, - disable_tracing: bool, - context: TContext | None = None, - initial_settings: RealtimeSessionModelSettings | None = None, - overrides: RealtimeSessionModelSettings | None = None, - ) -> RealtimeSessionModelSettings: - context_wrapper = RunContextWrapper(context) - model_settings = initial_settings.copy() if initial_settings else {} - - instructions, tools = await asyncio.gather( - agent.get_system_prompt(context_wrapper), - agent.get_all_tools(context_wrapper), - ) - - if instructions is not None: - model_settings["instructions"] = instructions - if tools is not None: - model_settings["tools"] = tools - - if overrides: - model_settings.update(overrides) - - if disable_tracing: - model_settings["tracing"] = None - - return model_settings diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index 6df35b438..83e56d5fc 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -114,8 +114,13 @@ async def __aenter__(self) -> RealtimeSession: # Add ourselves as a listener self._model.add_listener(self) + model_config = self._model_config.copy() + model_config["initial_model_settings"] = await self._get_updated_model_settings_from_agent( + self._current_agent + ) + # Connect to the model - await self._model.connect(self._model_config) + await self._model.connect(model_config) # Emit initial history update await self._put_event( @@ -319,7 +324,9 @@ async def _handle_tool_call(self, event: RealtimeModelToolCallEvent) -> None: self._current_agent = result # Get updated model settings from new agent - updated_settings = await self._get__updated_model_settings(self._current_agent) + updated_settings = await self._get_updated_model_settings_from_agent( + self._current_agent + ) # Send handoff event await self._put_event( @@ -495,19 +502,28 @@ async def _cleanup(self) -> None: # Mark as closed self._closed = True - async def _get__updated_model_settings( - self, new_agent: RealtimeAgent + async def _get_updated_model_settings_from_agent( + self, + agent: RealtimeAgent, ) -> RealtimeSessionModelSettings: updated_settings: RealtimeSessionModelSettings = {} instructions, tools, handoffs = await asyncio.gather( - new_agent.get_system_prompt(self._context_wrapper), - new_agent.get_all_tools(self._context_wrapper), - self._get_handoffs(new_agent, self._context_wrapper), + agent.get_system_prompt(self._context_wrapper), + agent.get_all_tools(self._context_wrapper), + self._get_handoffs(agent, self._context_wrapper), ) updated_settings["instructions"] = instructions or "" updated_settings["tools"] = tools or [] updated_settings["handoffs"] = handoffs or [] + # Override with initial settings + initial_settings = self._model_config.get("initial_model_settings", {}) + updated_settings.update(initial_settings) + + disable_tracing = self._run_config.get("tracing_disabled", False) + if disable_tracing: + updated_settings["tracing"] = None + return updated_settings @classmethod diff --git a/tests/realtime/test_runner.py b/tests/realtime/test_runner.py index aabdff140..1e6eccbae 100644 --- a/tests/realtime/test_runner.py +++ b/tests/realtime/test_runner.py @@ -1,18 +1,21 @@ from unittest.mock import AsyncMock, Mock, patch import pytest -from inline_snapshot import snapshot from agents.realtime.agent import RealtimeAgent from agents.realtime.config import RealtimeRunConfig, RealtimeSessionModelSettings from agents.realtime.model import RealtimeModel, RealtimeModelConfig from agents.realtime.runner import RealtimeRunner from agents.realtime.session import RealtimeSession +from agents.tool import function_tool class MockRealtimeModel(RealtimeModel): + def __init__(self): + self.connect_args = None + async def connect(self, options=None): - pass + self.connect_args = options def add_listener(self, listener): pass @@ -53,7 +56,9 @@ def mock_model(): @pytest.mark.asyncio -async def test_run_creates_session_with_no_settings(mock_agent, mock_model): +async def test_run_creates_session_with_no_settings( + mock_agent: Mock, mock_model: MockRealtimeModel +): """Test that run() creates a session correctly if no settings are provided""" runner = RealtimeRunner(mock_agent, model=mock_model) @@ -71,22 +76,17 @@ async def test_run_creates_session_with_no_settings(mock_agent, mock_model): assert call_args[1]["agent"] == mock_agent assert call_args[1]["context"] is None - # Verify model_config contains expected settings from agent + # With no settings provided, model_config should be None model_config = call_args[1]["model_config"] - assert model_config == snapshot( - { - "initial_model_settings": { - "instructions": "Test instructions", - "tools": [{"type": "function", "name": "test_tool"}], - } - } - ) + assert model_config is None assert session == mock_session @pytest.mark.asyncio -async def test_run_creates_session_with_settings_only_in_init(mock_agent, mock_model): +async def test_run_creates_session_with_settings_only_in_init( + mock_agent: Mock, mock_model: MockRealtimeModel +): """Test that it creates a session with the right settings if they are provided only in init""" config = RealtimeRunConfig( model_settings=RealtimeSessionModelSettings(model_name="gpt-4o-realtime", voice="nova") @@ -99,28 +99,19 @@ async def test_run_creates_session_with_settings_only_in_init(mock_agent, mock_m _ = await runner.run() - # Verify session was created with config overrides + # Verify session was created - runner no longer processes settings call_args = mock_session_class.call_args model_config = call_args[1]["model_config"] - # Should have agent settings plus config overrides - assert model_config == snapshot( - { - "initial_model_settings": { - "instructions": "Test instructions", - "tools": [{"type": "function", "name": "test_tool"}], - "model_name": "gpt-4o-realtime", - "voice": "nova", - } - } - ) + # Runner should pass None for model_config when none provided to run() + assert model_config is None @pytest.mark.asyncio async def test_run_creates_session_with_settings_in_both_init_and_run_overrides( - mock_agent, mock_model + mock_agent: Mock, mock_model: MockRealtimeModel ): - """Test settings in both init and run() - init should override run()""" + """Test settings provided in run() parameter are passed through""" init_config = RealtimeRunConfig( model_settings=RealtimeSessionModelSettings(model_name="gpt-4o-realtime", voice="nova") ) @@ -138,26 +129,18 @@ async def test_run_creates_session_with_settings_in_both_init_and_run_overrides( _ = await runner.run(model_config=run_model_config) - # Verify run() settings override init settings + # Verify run() model_config is passed through as-is call_args = mock_session_class.call_args model_config = call_args[1]["model_config"] - # Should have agent settings, then init config, then run config overrides - assert model_config == snapshot( - { - "initial_model_settings": { - "voice": "nova", - "input_audio_format": "pcm16", - "instructions": "Test instructions", - "tools": [{"type": "function", "name": "test_tool"}], - "model_name": "gpt-4o-realtime", - } - } - ) + # Runner should pass the model_config from run() parameter directly + assert model_config == run_model_config @pytest.mark.asyncio -async def test_run_creates_session_with_settings_only_in_run(mock_agent, mock_model): +async def test_run_creates_session_with_settings_only_in_run( + mock_agent: Mock, mock_model: MockRealtimeModel +): """Test settings provided only in run()""" runner = RealtimeRunner(mock_agent, model=mock_model) @@ -173,26 +156,16 @@ async def test_run_creates_session_with_settings_only_in_run(mock_agent, mock_mo _ = await runner.run(model_config=run_model_config) - # Verify run() settings are applied + # Verify run() model_config is passed through as-is call_args = mock_session_class.call_args model_config = call_args[1]["model_config"] - # Should have agent settings plus run() settings - assert model_config == snapshot( - { - "initial_model_settings": { - "model_name": "gpt-4o-realtime-preview", - "voice": "shimmer", - "modalities": ["text", "audio"], - "instructions": "Test instructions", - "tools": [{"type": "function", "name": "test_tool"}], - } - } - ) + # Runner should pass the model_config from run() parameter directly + assert model_config == run_model_config @pytest.mark.asyncio -async def test_run_with_context_parameter(mock_agent, mock_model): +async def test_run_with_context_parameter(mock_agent: Mock, mock_model: MockRealtimeModel): """Test that context parameter is passed through to session""" runner = RealtimeRunner(mock_agent, model=mock_model) test_context = {"user_id": "test123"} @@ -208,17 +181,69 @@ async def test_run_with_context_parameter(mock_agent, mock_model): @pytest.mark.asyncio -async def test_get_model_settings_with_none_values(mock_model): - """Test _get_model_settings handles None values from agent properly""" +async def test_run_with_none_values_from_agent_does_not_crash(mock_model: MockRealtimeModel): + """Test that runner handles agents with None values without crashing""" agent = Mock(spec=RealtimeAgent) agent.get_system_prompt = AsyncMock(return_value=None) agent.get_all_tools = AsyncMock(return_value=None) runner = RealtimeRunner(agent, model=mock_model) - with patch("agents.realtime.runner.RealtimeSession"): - await runner.run() + with patch("agents.realtime.runner.RealtimeSession") as mock_session_class: + mock_session = Mock(spec=RealtimeSession) + mock_session_class.return_value = mock_session + + session = await runner.run() + + # Should not crash and return session + assert session == mock_session + # Runner no longer calls agent methods directly - session does that + agent.get_system_prompt.assert_not_called() + agent.get_all_tools.assert_not_called() + + +@pytest.mark.asyncio +async def test_tool_and_handoffs_are_correct(mock_model: MockRealtimeModel): + @function_tool + def tool_one(): + return "result_one" + + agent_1 = RealtimeAgent( + name="one", + instructions="instr_one", + ) + agent_2 = RealtimeAgent( + name="two", + instructions="instr_two", + tools=[tool_one], + handoffs=[agent_1], + ) + + session = RealtimeSession( + model=mock_model, + agent=agent_2, + context=None, + model_config=None, + run_config=None, + ) + + async with session: + pass - # Should not crash and agent methods should be called - agent.get_system_prompt.assert_called_once() - agent.get_all_tools.assert_called_once() + # Assert that the model.connect() was called with the correct settings + connect_args = mock_model.connect_args + assert connect_args is not None + assert isinstance(connect_args, dict) + initial_model_settings = connect_args["initial_model_settings"] + assert initial_model_settings is not None + assert isinstance(initial_model_settings, dict) + assert initial_model_settings["instructions"] == "instr_two" + assert len(initial_model_settings["tools"]) == 1 + tool = initial_model_settings["tools"][0] + assert tool.name == "tool_one" + + handoffs = initial_model_settings["handoffs"] + assert len(handoffs) == 1 + handoff = handoffs[0] + assert handoff.tool_name == "transfer_to_one" + assert handoff.agent_name == "one" diff --git a/tests/realtime/test_session.py b/tests/realtime/test_session.py index 7c1eb53ff..3bb9b5931 100644 --- a/tests/realtime/test_session.py +++ b/tests/realtime/test_session.py @@ -29,7 +29,7 @@ RealtimeItem, UserMessageItem, ) -from agents.realtime.model import RealtimeModel +from agents.realtime.model import RealtimeModel, RealtimeModelConfig from agents.realtime.model_events import ( RealtimeModelAudioDoneEvent, RealtimeModelAudioEvent, @@ -1206,3 +1206,117 @@ def guardrail_func(context, agent, output): guardrail_events = [e for e in events if isinstance(e, RealtimeGuardrailTripped)] assert len(guardrail_events) == 1 assert len(guardrail_events[0].guardrail_results) == 2 + + +class TestModelSettingsIntegration: + """Test suite for model settings integration in RealtimeSession.""" + + @pytest.mark.asyncio + async def test_session_gets_model_settings_from_agent_during_connection(self): + """Test that session properly gets model settings from agent during __aenter__.""" + # Create mock model that records the config passed to connect() + mock_model = Mock(spec=RealtimeModel) + mock_model.connect = AsyncMock() + mock_model.add_listener = Mock() + + # Create agent with specific settings + agent = Mock(spec=RealtimeAgent) + agent.get_system_prompt = AsyncMock(return_value="Test agent instructions") + agent.get_all_tools = AsyncMock(return_value=[{"type": "function", "name": "test_tool"}]) + agent.handoffs = [] + + session = RealtimeSession(mock_model, agent, None) + + # Connect the session + await session.__aenter__() + + # Verify model.connect was called with settings from agent + mock_model.connect.assert_called_once() + connect_config = mock_model.connect.call_args[0][0] + + initial_settings = connect_config["initial_model_settings"] + assert initial_settings["instructions"] == "Test agent instructions" + assert initial_settings["tools"] == [{"type": "function", "name": "test_tool"}] + assert initial_settings["handoffs"] == [] + + await session.__aexit__(None, None, None) + + @pytest.mark.asyncio + async def test_model_config_overrides_agent_settings(self): + """Test that initial_model_settings from model_config override agent settings.""" + mock_model = Mock(spec=RealtimeModel) + mock_model.connect = AsyncMock() + mock_model.add_listener = Mock() + + agent = Mock(spec=RealtimeAgent) + agent.get_system_prompt = AsyncMock(return_value="Agent instructions") + agent.get_all_tools = AsyncMock(return_value=[{"type": "function", "name": "agent_tool"}]) + agent.handoffs = [] + + # Provide model config with overrides + model_config: RealtimeModelConfig = { + "initial_model_settings": { + "instructions": "Override instructions", + "voice": "nova", + "model_name": "gpt-4o-realtime", + } + } + + session = RealtimeSession(mock_model, agent, None, model_config=model_config) + + await session.__aenter__() + + # Verify overrides were applied + connect_config = mock_model.connect.call_args[0][0] + initial_settings = connect_config["initial_model_settings"] + + # Should have override values + assert initial_settings["instructions"] == "Override instructions" + assert initial_settings["voice"] == "nova" + assert initial_settings["model_name"] == "gpt-4o-realtime" + # Should still have agent tools since not overridden + assert initial_settings["tools"] == [{"type": "function", "name": "agent_tool"}] + + await session.__aexit__(None, None, None) + + @pytest.mark.asyncio + async def test_handoffs_are_included_in_model_settings(self): + """Test that handoffs from agent are properly processed into model settings.""" + mock_model = Mock(spec=RealtimeModel) + mock_model.connect = AsyncMock() + mock_model.add_listener = Mock() + + # Create agent with handoffs + agent = Mock(spec=RealtimeAgent) + agent.get_system_prompt = AsyncMock(return_value="Agent with handoffs") + agent.get_all_tools = AsyncMock(return_value=[]) + + # Create a mock handoff + handoff_agent = Mock(spec=RealtimeAgent) + handoff_agent.name = "handoff_target" + + mock_handoff = Mock(spec=Handoff) + mock_handoff.tool_name = "transfer_to_specialist" + mock_handoff.is_enabled = True + + agent.handoffs = [handoff_agent] # Agent handoff + + # Mock the _get_handoffs method since it's complex + with pytest.MonkeyPatch().context() as m: + + async def mock_get_handoffs(cls, agent, context_wrapper): + return [mock_handoff] + + m.setattr("agents.realtime.session.RealtimeSession._get_handoffs", mock_get_handoffs) + + session = RealtimeSession(mock_model, agent, None) + + await session.__aenter__() + + # Verify handoffs were included + connect_config = mock_model.connect.call_args[0][0] + initial_settings = connect_config["initial_model_settings"] + + assert initial_settings["handoffs"] == [mock_handoff] + + await session.__aexit__(None, None, None) diff --git a/tests/realtime/test_tracing.py b/tests/realtime/test_tracing.py index 85da63897..6ef1ae9a7 100644 --- a/tests/realtime/test_tracing.py +++ b/tests/realtime/test_tracing.py @@ -1,8 +1,11 @@ -from unittest.mock import AsyncMock, patch +from unittest.mock import AsyncMock, Mock, patch import pytest +from agents.realtime.agent import RealtimeAgent +from agents.realtime.model import RealtimeModel from agents.realtime.openai_realtime import OpenAIRealtimeWebSocketModel +from agents.realtime.session import RealtimeSession class TestRealtimeTracingIntegration: @@ -219,36 +222,24 @@ async def async_websocket(*args, **kwargs): @pytest.mark.asyncio async def test_tracing_disabled_prevents_tracing(self, mock_websocket): """Test that tracing_disabled=True prevents tracing configuration.""" - from agents.realtime.agent import RealtimeAgent - from agents.realtime.runner import RealtimeRunner - # Create a test agent and runner with tracing disabled + # Create a test agent and mock model agent = RealtimeAgent(name="test_agent", instructions="test") + agent.handoffs = [] - runner = RealtimeRunner(starting_agent=agent, config={"tracing_disabled": True}) + mock_model = Mock(spec=RealtimeModel) - # Test the _get_model_settings method directly since that's where the logic is - model_settings = await runner._get_model_settings( + # Create session with tracing disabled + session = RealtimeSession( + model=mock_model, agent=agent, - disable_tracing=True, # This should come from config["tracing_disabled"] - initial_settings=None, - overrides=None, + context=None, + model_config=None, + run_config={"tracing_disabled": True}, ) + # Test the _get_updated_model_settings_from_agent method directly + model_settings = await session._get_updated_model_settings_from_agent(agent) + # When tracing is disabled, model settings should have tracing=None assert model_settings["tracing"] is None - - # Also test that the runner passes disable_tracing=True correctly - with patch.object(runner, "_get_model_settings") as mock_get_settings: - mock_get_settings.return_value = {"tracing": None} - - with patch("agents.realtime.session.RealtimeSession") as mock_session_class: - mock_session = AsyncMock() - mock_session_class.return_value = mock_session - - await runner.run() - - # Verify that _get_model_settings was called with disable_tracing=True - mock_get_settings.assert_called_once_with( - agent=agent, disable_tracing=True, initial_settings=None, overrides=None - ) diff --git a/tests/test_session_exceptions.py b/tests/test_session_exceptions.py index a454cca92..da9390236 100644 --- a/tests/test_session_exceptions.py +++ b/tests/test_session_exceptions.py @@ -90,6 +90,8 @@ def fake_agent(): """Create a fake agent for testing.""" agent = Mock() agent.get_all_tools = AsyncMock(return_value=[]) + agent.get_system_prompt = AsyncMock(return_value="test instructions") + agent.handoffs = [] return agent From 7f51067293423a6019cbcc7ce1d9282973bce899 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Thu, 17 Jul 2025 13:04:26 -0400 Subject: [PATCH 263/337] v0.2.0 --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index b72ccd594..5bc0456b8 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "openai-agents" -version = "0.2.1" +version = "0.2.2" description = "OpenAI Agents SDK" readme = "README.md" requires-python = ">=3.9" From 59e80524ffcffc41eb723f040e3fe39d4a379681 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Thu, 17 Jul 2025 14:42:49 -0400 Subject: [PATCH 264/337] [realtime] Add direct access to model layer from session --- docs/realtime/guide.md | 11 +++++++++++ src/agents/realtime/session.py | 5 +++++ uv.lock | 2 +- 3 files changed, 17 insertions(+), 1 deletion(-) diff --git a/docs/realtime/guide.md b/docs/realtime/guide.md index 9ea2525cf..cefa5d688 100644 --- a/docs/realtime/guide.md +++ b/docs/realtime/guide.md @@ -138,6 +138,17 @@ Send audio to the session using [`session.send_audio(audio_bytes)`][agents.realt For audio output, listen for `audio` events and play the audio data through your preferred audio library. Make sure to listen for `audio_interrupted` events to stop playback immediately and clear any queued audio when the user interrupts the agent. +## Direct model access + +You can access the underlying model to add custom listeners or perform advanced operations: + +```python +# Add a custom listener to the model +session.model.add_listener(my_custom_listener) +``` + +This gives you direct access to the [`RealtimeModel`][agents.realtime.model.RealtimeModel] interface for advanced use cases where you need lower-level control over the connection. + ## Examples For complete working examples, check out the [examples/realtime directory](https://github.com/openai/openai-agents-python/tree/main/examples/realtime) which includes demos with and without UI components. diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index 83e56d5fc..82ff924b8 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -107,6 +107,11 @@ def __init__( self._guardrail_tasks: set[asyncio.Task[Any]] = set() + @property + def model(self) -> RealtimeModel: + """Access the underlying model for adding listeners or other direct interaction.""" + return self._model + async def __aenter__(self) -> RealtimeSession: """Start the session by connecting to the model. After this, you will be able to stream events from the model and send messages and audio to the model. diff --git a/uv.lock b/uv.lock index 2e14dd804..bcd61fe4a 100644 --- a/uv.lock +++ b/uv.lock @@ -1482,7 +1482,7 @@ wheels = [ [[package]] name = "openai-agents" -version = "0.2.1" +version = "0.2.2" source = { editable = "." } dependencies = [ { name = "griffe" }, From af83fd076c2af6fa0a5bcde75c3ee0bbd398deed Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 18 Jul 2025 13:04:26 -0400 Subject: [PATCH 265/337] Realtime: add user agent header --- src/agents/realtime/openai_realtime.py | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index e8a4749e7..e03d56f4b 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -62,6 +62,7 @@ from ..exceptions import UserError from ..logger import logger +from ..version import __version__ from .config import ( RealtimeModelTracingConfig, RealtimeSessionModelSettings, @@ -97,6 +98,8 @@ RealtimeModelSendUserInput, ) +_USER_AGENT = f"Agents/Python {__version__}" + DEFAULT_MODEL_SETTINGS: RealtimeSessionModelSettings = { "voice": "ash", "modalities": ["text", "audio"], @@ -160,7 +163,9 @@ async def connect(self, options: RealtimeModelConfig) -> None: "Authorization": f"Bearer {api_key}", "OpenAI-Beta": "realtime=v1", } - self._websocket = await websockets.connect(url, additional_headers=headers) + self._websocket = await websockets.connect( + url, user_agent_header=_USER_AGENT, additional_headers=headers + ) self._websocket_task = asyncio.create_task(self._listen_for_messages()) await self._update_session_config(model_settings) From 96140c5cd3dd6025cd844671c15025de92fc327c Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 21 Jul 2025 10:55:22 -0400 Subject: [PATCH 266/337] Realtime: make sure we use the initial model settings --- README.md | 223 +++++++++++++++++---------------- src/agents/realtime/session.py | 19 +-- tests/realtime/test_session.py | 186 +++++++++++++++++++++++++-- tests/realtime/test_tracing.py | 4 +- 4 files changed, 304 insertions(+), 128 deletions(-) diff --git a/README.md b/README.md index 638f94b21..7a352e330 100644 --- a/README.md +++ b/README.md @@ -17,125 +17,19 @@ The OpenAI Agents SDK is a lightweight yet powerful framework for building multi Explore the [examples](examples) directory to see the SDK in action, and read our [documentation](https://openai.github.io/openai-agents-python/) for more details. -## Sessions - -The Agents SDK provides built-in session memory to automatically maintain conversation history across multiple agent runs, eliminating the need to manually handle `.to_input_list()` between turns. - -### Quick start - -```python -from agents import Agent, Runner, SQLiteSession - -# Create agent -agent = Agent( - name="Assistant", - instructions="Reply very concisely.", -) - -# Create a session instance -session = SQLiteSession("conversation_123") - -# First turn -result = await Runner.run( - agent, - "What city is the Golden Gate Bridge in?", - session=session -) -print(result.final_output) # "San Francisco" - -# Second turn - agent automatically remembers previous context -result = await Runner.run( - agent, - "What state is it in?", - session=session -) -print(result.final_output) # "California" - -# Also works with synchronous runner -result = Runner.run_sync( - agent, - "What's the population?", - session=session -) -print(result.final_output) # "Approximately 39 million" -``` - -### Session options - -- **No memory** (default): No session memory when session parameter is omitted -- **`session: Session = DatabaseSession(...)`**: Use a Session instance to manage conversation history - -```python -from agents import Agent, Runner, SQLiteSession - -# Custom SQLite database file -session = SQLiteSession("user_123", "conversations.db") -agent = Agent(name="Assistant") - -# Different session IDs maintain separate conversation histories -result1 = await Runner.run( - agent, - "Hello", - session=session -) -result2 = await Runner.run( - agent, - "Hello", - session=SQLiteSession("user_456", "conversations.db") -) -``` - -### Custom session implementations - -You can implement your own session memory by creating a class that follows the `Session` protocol: - -```python -from agents.memory import Session -from typing import List - -class MyCustomSession: - """Custom session implementation following the Session protocol.""" - - def __init__(self, session_id: str): - self.session_id = session_id - # Your initialization here - - async def get_items(self, limit: int | None = None) -> List[dict]: - # Retrieve conversation history for the session - pass - - async def add_items(self, items: List[dict]) -> None: - # Store new items for the session - pass - - async def pop_item(self) -> dict | None: - # Remove and return the most recent item from the session - pass - - async def clear_session(self) -> None: - # Clear all items for the session - pass - -# Use your custom session -agent = Agent(name="Assistant") -result = await Runner.run( - agent, - "Hello", - session=MyCustomSession("my_session") -) -``` - ## Get started 1. Set up your Python environment -- Option A: Using venv (traditional method) +- Option A: Using venv (traditional method) + ```bash python -m venv env source env/bin/activate # On Windows: env\Scripts\activate ``` -- Option B: Using uv (recommended) +- Option B: Using uv (recommended) + ```bash uv venv source .venv/bin/activate # On Windows: .venv\Scripts\activate @@ -263,6 +157,114 @@ The Agents SDK is designed to be highly flexible, allowing you to model a wide r The Agents SDK automatically traces your agent runs, making it easy to track and debug the behavior of your agents. Tracing is extensible by design, supporting custom spans and a wide variety of external destinations, including [Logfire](https://logfire.pydantic.dev/docs/integrations/llms/openai/#openai-agents), [AgentOps](https://docs.agentops.ai/v1/integrations/agentssdk), [Braintrust](https://braintrust.dev/docs/guides/traces/integrations#openai-agents-sdk), [Scorecard](https://docs.scorecard.io/docs/documentation/features/tracing#openai-agents-sdk-integration), and [Keywords AI](https://docs.keywordsai.co/integration/development-frameworks/openai-agent). For more details about how to customize or disable tracing, see [Tracing](http://openai.github.io/openai-agents-python/tracing), which also includes a larger list of [external tracing processors](http://openai.github.io/openai-agents-python/tracing/#external-tracing-processors-list). +## Sessions + +The Agents SDK provides built-in session memory to automatically maintain conversation history across multiple agent runs, eliminating the need to manually handle `.to_input_list()` between turns. + +### Quick start + +```python +from agents import Agent, Runner, SQLiteSession + +# Create agent +agent = Agent( + name="Assistant", + instructions="Reply very concisely.", +) + +# Create a session instance +session = SQLiteSession("conversation_123") + +# First turn +result = await Runner.run( + agent, + "What city is the Golden Gate Bridge in?", + session=session +) +print(result.final_output) # "San Francisco" + +# Second turn - agent automatically remembers previous context +result = await Runner.run( + agent, + "What state is it in?", + session=session +) +print(result.final_output) # "California" + +# Also works with synchronous runner +result = Runner.run_sync( + agent, + "What's the population?", + session=session +) +print(result.final_output) # "Approximately 39 million" +``` + +### Session options + +- **No memory** (default): No session memory when session parameter is omitted +- **`session: Session = DatabaseSession(...)`**: Use a Session instance to manage conversation history + +```python +from agents import Agent, Runner, SQLiteSession + +# Custom SQLite database file +session = SQLiteSession("user_123", "conversations.db") +agent = Agent(name="Assistant") + +# Different session IDs maintain separate conversation histories +result1 = await Runner.run( + agent, + "Hello", + session=session +) +result2 = await Runner.run( + agent, + "Hello", + session=SQLiteSession("user_456", "conversations.db") +) +``` + +### Custom session implementations + +You can implement your own session memory by creating a class that follows the `Session` protocol: + +```python +from agents.memory import Session +from typing import List + +class MyCustomSession: + """Custom session implementation following the Session protocol.""" + + def __init__(self, session_id: str): + self.session_id = session_id + # Your initialization here + + async def get_items(self, limit: int | None = None) -> List[dict]: + # Retrieve conversation history for the session + pass + + async def add_items(self, items: List[dict]) -> None: + # Store new items for the session + pass + + async def pop_item(self) -> dict | None: + # Remove and return the most recent item from the session + pass + + async def clear_session(self) -> None: + # Clear all items for the session + pass + +# Use your custom session +agent = Agent(name="Assistant") +result = await Runner.run( + agent, + "Hello", + session=MyCustomSession("my_session") +) +``` + ## Development (only needed if you need to edit the SDK/examples) 0. Ensure you have [`uv`](https://docs.astral.sh/uv/) installed. @@ -284,6 +286,7 @@ make check # run tests linter and typechecker ``` Or to run them individually: + ``` make tests # run tests make mypy # run typechecker diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index 82ff924b8..11e4447f2 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -121,7 +121,8 @@ async def __aenter__(self) -> RealtimeSession: model_config = self._model_config.copy() model_config["initial_model_settings"] = await self._get_updated_model_settings_from_agent( - self._current_agent + starting_settings=self._model_config.get("initial_model_settings", None), + agent=self._current_agent, ) # Connect to the model @@ -330,7 +331,8 @@ async def _handle_tool_call(self, event: RealtimeModelToolCallEvent) -> None: # Get updated model settings from new agent updated_settings = await self._get_updated_model_settings_from_agent( - self._current_agent + starting_settings=None, + agent=self._current_agent, ) # Send handoff event @@ -509,9 +511,16 @@ async def _cleanup(self) -> None: async def _get_updated_model_settings_from_agent( self, + starting_settings: RealtimeSessionModelSettings | None, agent: RealtimeAgent, ) -> RealtimeSessionModelSettings: - updated_settings: RealtimeSessionModelSettings = {} + # Start with run config model settings as base + run_config_settings = self._run_config.get("model_settings", {}) + updated_settings: RealtimeSessionModelSettings = run_config_settings.copy() + # Apply starting settings (from model config) next + if starting_settings: + updated_settings.update(starting_settings) + instructions, tools, handoffs = await asyncio.gather( agent.get_system_prompt(self._context_wrapper), agent.get_all_tools(self._context_wrapper), @@ -521,10 +530,6 @@ async def _get_updated_model_settings_from_agent( updated_settings["tools"] = tools or [] updated_settings["handoffs"] = handoffs or [] - # Override with initial settings - initial_settings = self._model_config.get("initial_model_settings", {}) - updated_settings.update(initial_settings) - disable_tracing = self._run_config.get("tracing_disabled", False) if disable_tracing: updated_settings["tracing"] = None diff --git a/tests/realtime/test_session.py b/tests/realtime/test_session.py index 3bb9b5931..fa17b94a6 100644 --- a/tests/realtime/test_session.py +++ b/tests/realtime/test_session.py @@ -6,7 +6,7 @@ from agents.guardrail import GuardrailFunctionOutput, OutputGuardrail from agents.handoffs import Handoff from agents.realtime.agent import RealtimeAgent -from agents.realtime.config import RealtimeRunConfig +from agents.realtime.config import RealtimeRunConfig, RealtimeSessionModelSettings from agents.realtime.events import ( RealtimeAgentEndEvent, RealtimeAgentStartEvent, @@ -1242,8 +1242,9 @@ async def test_session_gets_model_settings_from_agent_during_connection(self): await session.__aexit__(None, None, None) @pytest.mark.asyncio - async def test_model_config_overrides_agent_settings(self): - """Test that initial_model_settings from model_config override agent settings.""" + async def test_model_config_overrides_model_settings_not_agent(self): + """Test that initial_model_settings from model_config override model settings + but not agent-derived settings.""" mock_model = Mock(spec=RealtimeModel) mock_model.connect = AsyncMock() mock_model.add_listener = Mock() @@ -1253,10 +1254,9 @@ async def test_model_config_overrides_agent_settings(self): agent.get_all_tools = AsyncMock(return_value=[{"type": "function", "name": "agent_tool"}]) agent.handoffs = [] - # Provide model config with overrides + # Provide model config with settings model_config: RealtimeModelConfig = { "initial_model_settings": { - "instructions": "Override instructions", "voice": "nova", "model_name": "gpt-4o-realtime", } @@ -1266,16 +1266,16 @@ async def test_model_config_overrides_agent_settings(self): await session.__aenter__() - # Verify overrides were applied + # Verify model config settings were applied connect_config = mock_model.connect.call_args[0][0] initial_settings = connect_config["initial_model_settings"] - # Should have override values - assert initial_settings["instructions"] == "Override instructions" + # Agent-derived settings should come from agent + assert initial_settings["instructions"] == "Agent instructions" + assert initial_settings["tools"] == [{"type": "function", "name": "agent_tool"}] + # Model config settings should be applied assert initial_settings["voice"] == "nova" assert initial_settings["model_name"] == "gpt-4o-realtime" - # Should still have agent tools since not overridden - assert initial_settings["tools"] == [{"type": "function", "name": "agent_tool"}] await session.__aexit__(None, None, None) @@ -1320,3 +1320,169 @@ async def mock_get_handoffs(cls, agent, context_wrapper): assert initial_settings["handoffs"] == [mock_handoff] await session.__aexit__(None, None, None) + + +# Test: Model settings precedence +class TestModelSettingsPrecedence: + """Test suite for model settings precedence in RealtimeSession""" + + @pytest.mark.asyncio + async def test_model_settings_precedence_order(self): + """Test that model settings follow correct precedence: + run_config -> agent -> model_config""" + + # Create a test agent + agent = RealtimeAgent(name="test_agent", instructions="agent_instructions") + agent.handoffs = [] + + # Mock the agent methods to return known values + agent.get_system_prompt = AsyncMock(return_value="agent_system_prompt") # type: ignore + agent.get_all_tools = AsyncMock(return_value=[]) # type: ignore + + # Mock model + mock_model = Mock(spec=RealtimeModel) + mock_model.connect = AsyncMock() + + # Define settings at each level with different values + run_config_settings: RealtimeSessionModelSettings = { + "voice": "run_config_voice", + "modalities": ["text"], + } + + model_config_initial_settings: RealtimeSessionModelSettings = { + "voice": "model_config_voice", # Should override run_config + "tool_choice": "auto", # New setting not in run_config + } + + run_config: RealtimeRunConfig = {"model_settings": run_config_settings} + + model_config: RealtimeModelConfig = { + "initial_model_settings": model_config_initial_settings + } + + # Create session with both configs + session = RealtimeSession( + model=mock_model, + agent=agent, + context=None, + model_config=model_config, + run_config=run_config, + ) + + # Mock the _get_handoffs method + async def mock_get_handoffs(cls, agent, context_wrapper): + return [] + + with pytest.MonkeyPatch().context() as m: + m.setattr("agents.realtime.session.RealtimeSession._get_handoffs", mock_get_handoffs) + + # Test the method directly + model_settings = await session._get_updated_model_settings_from_agent( + starting_settings=model_config_initial_settings, agent=agent + ) + + # Verify precedence order: + # 1. Agent settings should always be set (highest precedence for these) + assert model_settings["instructions"] == "agent_system_prompt" + assert model_settings["tools"] == [] + assert model_settings["handoffs"] == [] + + # 2. model_config settings should override run_config settings + assert model_settings["voice"] == "model_config_voice" # model_config wins + + # 3. run_config settings should be preserved when not overridden + assert model_settings["modalities"] == ["text"] # only in run_config + + # 4. model_config-only settings should be present + assert model_settings["tool_choice"] == "auto" # only in model_config + + @pytest.mark.asyncio + async def test_model_settings_with_run_config_only(self): + """Test that run_config model_settings are used when no model_config provided""" + + agent = RealtimeAgent(name="test_agent", instructions="test") + agent.handoffs = [] + agent.get_system_prompt = AsyncMock(return_value="test_prompt") # type: ignore + agent.get_all_tools = AsyncMock(return_value=[]) # type: ignore + + mock_model = Mock(spec=RealtimeModel) + + run_config_settings: RealtimeSessionModelSettings = { + "voice": "run_config_only_voice", + "modalities": ["text", "audio"], + "input_audio_format": "pcm16", + } + + session = RealtimeSession( + model=mock_model, + agent=agent, + context=None, + model_config=None, # No model config + run_config={"model_settings": run_config_settings}, + ) + + async def mock_get_handoffs(cls, agent, context_wrapper): + return [] + + with pytest.MonkeyPatch().context() as m: + m.setattr("agents.realtime.session.RealtimeSession._get_handoffs", mock_get_handoffs) + + model_settings = await session._get_updated_model_settings_from_agent( + starting_settings=None, # No initial settings + agent=agent, + ) + + # Agent settings should be present + assert model_settings["instructions"] == "test_prompt" + assert model_settings["tools"] == [] + assert model_settings["handoffs"] == [] + + # All run_config settings should be preserved (no overrides) + assert model_settings["voice"] == "run_config_only_voice" + assert model_settings["modalities"] == ["text", "audio"] + assert model_settings["input_audio_format"] == "pcm16" + + @pytest.mark.asyncio + async def test_model_settings_with_model_config_only(self): + """Test that model_config settings are used when no run_config model_settings""" + + agent = RealtimeAgent(name="test_agent", instructions="test") + agent.handoffs = [] + agent.get_system_prompt = AsyncMock(return_value="test_prompt") # type: ignore + agent.get_all_tools = AsyncMock(return_value=[]) # type: ignore + + mock_model = Mock(spec=RealtimeModel) + + model_config_settings: RealtimeSessionModelSettings = { + "voice": "model_config_only_voice", + "tool_choice": "required", + "output_audio_format": "g711_ulaw", + } + + session = RealtimeSession( + model=mock_model, + agent=agent, + context=None, + model_config={"initial_model_settings": model_config_settings}, + run_config={}, # No model_settings in run_config + ) + + async def mock_get_handoffs(cls, agent, context_wrapper): + return [] + + with pytest.MonkeyPatch().context() as m: + m.setattr("agents.realtime.session.RealtimeSession._get_handoffs", mock_get_handoffs) + + model_settings = await session._get_updated_model_settings_from_agent( + starting_settings=model_config_settings, agent=agent + ) + + # Agent settings should be present + assert model_settings["instructions"] == "test_prompt" + assert model_settings["tools"] == [] + assert model_settings["handoffs"] == [] + + # All model_config settings should be preserved + assert model_settings["voice"] == "model_config_only_voice" + assert model_settings["tool_choice"] == "required" + assert model_settings["output_audio_format"] == "g711_ulaw" diff --git a/tests/realtime/test_tracing.py b/tests/realtime/test_tracing.py index 6ef1ae9a7..69de79e83 100644 --- a/tests/realtime/test_tracing.py +++ b/tests/realtime/test_tracing.py @@ -239,7 +239,9 @@ async def test_tracing_disabled_prevents_tracing(self, mock_websocket): ) # Test the _get_updated_model_settings_from_agent method directly - model_settings = await session._get_updated_model_settings_from_agent(agent) + model_settings = await session._get_updated_model_settings_from_agent( + starting_settings=None, agent=agent + ) # When tracing is disabled, model settings should have tracing=None assert model_settings["tracing"] is None From 1c2cde33a48b1b2b0e303ac86245e459b332c86c Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 21 Jul 2025 11:04:13 -0400 Subject: [PATCH 267/337] Realtime: add user agent header --- src/agents/realtime/openai_realtime.py | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index e8a4749e7..e03d56f4b 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -62,6 +62,7 @@ from ..exceptions import UserError from ..logger import logger +from ..version import __version__ from .config import ( RealtimeModelTracingConfig, RealtimeSessionModelSettings, @@ -97,6 +98,8 @@ RealtimeModelSendUserInput, ) +_USER_AGENT = f"Agents/Python {__version__}" + DEFAULT_MODEL_SETTINGS: RealtimeSessionModelSettings = { "voice": "ash", "modalities": ["text", "audio"], @@ -160,7 +163,9 @@ async def connect(self, options: RealtimeModelConfig) -> None: "Authorization": f"Bearer {api_key}", "OpenAI-Beta": "realtime=v1", } - self._websocket = await websockets.connect(url, additional_headers=headers) + self._websocket = await websockets.connect( + url, user_agent_header=_USER_AGENT, additional_headers=headers + ) self._websocket_task = asyncio.create_task(self._listen_for_messages()) await self._update_session_config(model_settings) From 9f822c2e12536a46096d3f3263d2b49fb7bbffb9 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 21 Jul 2025 11:04:13 -0400 Subject: [PATCH 268/337] Realtime: make sure we use the initial model settings --- README.md | 223 +++++++++++++++++---------------- src/agents/realtime/session.py | 19 +-- tests/realtime/test_session.py | 186 +++++++++++++++++++++++++-- tests/realtime/test_tracing.py | 4 +- 4 files changed, 304 insertions(+), 128 deletions(-) diff --git a/README.md b/README.md index 638f94b21..7a352e330 100644 --- a/README.md +++ b/README.md @@ -17,125 +17,19 @@ The OpenAI Agents SDK is a lightweight yet powerful framework for building multi Explore the [examples](examples) directory to see the SDK in action, and read our [documentation](https://openai.github.io/openai-agents-python/) for more details. -## Sessions - -The Agents SDK provides built-in session memory to automatically maintain conversation history across multiple agent runs, eliminating the need to manually handle `.to_input_list()` between turns. - -### Quick start - -```python -from agents import Agent, Runner, SQLiteSession - -# Create agent -agent = Agent( - name="Assistant", - instructions="Reply very concisely.", -) - -# Create a session instance -session = SQLiteSession("conversation_123") - -# First turn -result = await Runner.run( - agent, - "What city is the Golden Gate Bridge in?", - session=session -) -print(result.final_output) # "San Francisco" - -# Second turn - agent automatically remembers previous context -result = await Runner.run( - agent, - "What state is it in?", - session=session -) -print(result.final_output) # "California" - -# Also works with synchronous runner -result = Runner.run_sync( - agent, - "What's the population?", - session=session -) -print(result.final_output) # "Approximately 39 million" -``` - -### Session options - -- **No memory** (default): No session memory when session parameter is omitted -- **`session: Session = DatabaseSession(...)`**: Use a Session instance to manage conversation history - -```python -from agents import Agent, Runner, SQLiteSession - -# Custom SQLite database file -session = SQLiteSession("user_123", "conversations.db") -agent = Agent(name="Assistant") - -# Different session IDs maintain separate conversation histories -result1 = await Runner.run( - agent, - "Hello", - session=session -) -result2 = await Runner.run( - agent, - "Hello", - session=SQLiteSession("user_456", "conversations.db") -) -``` - -### Custom session implementations - -You can implement your own session memory by creating a class that follows the `Session` protocol: - -```python -from agents.memory import Session -from typing import List - -class MyCustomSession: - """Custom session implementation following the Session protocol.""" - - def __init__(self, session_id: str): - self.session_id = session_id - # Your initialization here - - async def get_items(self, limit: int | None = None) -> List[dict]: - # Retrieve conversation history for the session - pass - - async def add_items(self, items: List[dict]) -> None: - # Store new items for the session - pass - - async def pop_item(self) -> dict | None: - # Remove and return the most recent item from the session - pass - - async def clear_session(self) -> None: - # Clear all items for the session - pass - -# Use your custom session -agent = Agent(name="Assistant") -result = await Runner.run( - agent, - "Hello", - session=MyCustomSession("my_session") -) -``` - ## Get started 1. Set up your Python environment -- Option A: Using venv (traditional method) +- Option A: Using venv (traditional method) + ```bash python -m venv env source env/bin/activate # On Windows: env\Scripts\activate ``` -- Option B: Using uv (recommended) +- Option B: Using uv (recommended) + ```bash uv venv source .venv/bin/activate # On Windows: .venv\Scripts\activate @@ -263,6 +157,114 @@ The Agents SDK is designed to be highly flexible, allowing you to model a wide r The Agents SDK automatically traces your agent runs, making it easy to track and debug the behavior of your agents. Tracing is extensible by design, supporting custom spans and a wide variety of external destinations, including [Logfire](https://logfire.pydantic.dev/docs/integrations/llms/openai/#openai-agents), [AgentOps](https://docs.agentops.ai/v1/integrations/agentssdk), [Braintrust](https://braintrust.dev/docs/guides/traces/integrations#openai-agents-sdk), [Scorecard](https://docs.scorecard.io/docs/documentation/features/tracing#openai-agents-sdk-integration), and [Keywords AI](https://docs.keywordsai.co/integration/development-frameworks/openai-agent). For more details about how to customize or disable tracing, see [Tracing](http://openai.github.io/openai-agents-python/tracing), which also includes a larger list of [external tracing processors](http://openai.github.io/openai-agents-python/tracing/#external-tracing-processors-list). +## Sessions + +The Agents SDK provides built-in session memory to automatically maintain conversation history across multiple agent runs, eliminating the need to manually handle `.to_input_list()` between turns. + +### Quick start + +```python +from agents import Agent, Runner, SQLiteSession + +# Create agent +agent = Agent( + name="Assistant", + instructions="Reply very concisely.", +) + +# Create a session instance +session = SQLiteSession("conversation_123") + +# First turn +result = await Runner.run( + agent, + "What city is the Golden Gate Bridge in?", + session=session +) +print(result.final_output) # "San Francisco" + +# Second turn - agent automatically remembers previous context +result = await Runner.run( + agent, + "What state is it in?", + session=session +) +print(result.final_output) # "California" + +# Also works with synchronous runner +result = Runner.run_sync( + agent, + "What's the population?", + session=session +) +print(result.final_output) # "Approximately 39 million" +``` + +### Session options + +- **No memory** (default): No session memory when session parameter is omitted +- **`session: Session = DatabaseSession(...)`**: Use a Session instance to manage conversation history + +```python +from agents import Agent, Runner, SQLiteSession + +# Custom SQLite database file +session = SQLiteSession("user_123", "conversations.db") +agent = Agent(name="Assistant") + +# Different session IDs maintain separate conversation histories +result1 = await Runner.run( + agent, + "Hello", + session=session +) +result2 = await Runner.run( + agent, + "Hello", + session=SQLiteSession("user_456", "conversations.db") +) +``` + +### Custom session implementations + +You can implement your own session memory by creating a class that follows the `Session` protocol: + +```python +from agents.memory import Session +from typing import List + +class MyCustomSession: + """Custom session implementation following the Session protocol.""" + + def __init__(self, session_id: str): + self.session_id = session_id + # Your initialization here + + async def get_items(self, limit: int | None = None) -> List[dict]: + # Retrieve conversation history for the session + pass + + async def add_items(self, items: List[dict]) -> None: + # Store new items for the session + pass + + async def pop_item(self) -> dict | None: + # Remove and return the most recent item from the session + pass + + async def clear_session(self) -> None: + # Clear all items for the session + pass + +# Use your custom session +agent = Agent(name="Assistant") +result = await Runner.run( + agent, + "Hello", + session=MyCustomSession("my_session") +) +``` + ## Development (only needed if you need to edit the SDK/examples) 0. Ensure you have [`uv`](https://docs.astral.sh/uv/) installed. @@ -284,6 +286,7 @@ make check # run tests linter and typechecker ``` Or to run them individually: + ``` make tests # run tests make mypy # run typechecker diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index 82ff924b8..11e4447f2 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -121,7 +121,8 @@ async def __aenter__(self) -> RealtimeSession: model_config = self._model_config.copy() model_config["initial_model_settings"] = await self._get_updated_model_settings_from_agent( - self._current_agent + starting_settings=self._model_config.get("initial_model_settings", None), + agent=self._current_agent, ) # Connect to the model @@ -330,7 +331,8 @@ async def _handle_tool_call(self, event: RealtimeModelToolCallEvent) -> None: # Get updated model settings from new agent updated_settings = await self._get_updated_model_settings_from_agent( - self._current_agent + starting_settings=None, + agent=self._current_agent, ) # Send handoff event @@ -509,9 +511,16 @@ async def _cleanup(self) -> None: async def _get_updated_model_settings_from_agent( self, + starting_settings: RealtimeSessionModelSettings | None, agent: RealtimeAgent, ) -> RealtimeSessionModelSettings: - updated_settings: RealtimeSessionModelSettings = {} + # Start with run config model settings as base + run_config_settings = self._run_config.get("model_settings", {}) + updated_settings: RealtimeSessionModelSettings = run_config_settings.copy() + # Apply starting settings (from model config) next + if starting_settings: + updated_settings.update(starting_settings) + instructions, tools, handoffs = await asyncio.gather( agent.get_system_prompt(self._context_wrapper), agent.get_all_tools(self._context_wrapper), @@ -521,10 +530,6 @@ async def _get_updated_model_settings_from_agent( updated_settings["tools"] = tools or [] updated_settings["handoffs"] = handoffs or [] - # Override with initial settings - initial_settings = self._model_config.get("initial_model_settings", {}) - updated_settings.update(initial_settings) - disable_tracing = self._run_config.get("tracing_disabled", False) if disable_tracing: updated_settings["tracing"] = None diff --git a/tests/realtime/test_session.py b/tests/realtime/test_session.py index 3bb9b5931..fa17b94a6 100644 --- a/tests/realtime/test_session.py +++ b/tests/realtime/test_session.py @@ -6,7 +6,7 @@ from agents.guardrail import GuardrailFunctionOutput, OutputGuardrail from agents.handoffs import Handoff from agents.realtime.agent import RealtimeAgent -from agents.realtime.config import RealtimeRunConfig +from agents.realtime.config import RealtimeRunConfig, RealtimeSessionModelSettings from agents.realtime.events import ( RealtimeAgentEndEvent, RealtimeAgentStartEvent, @@ -1242,8 +1242,9 @@ async def test_session_gets_model_settings_from_agent_during_connection(self): await session.__aexit__(None, None, None) @pytest.mark.asyncio - async def test_model_config_overrides_agent_settings(self): - """Test that initial_model_settings from model_config override agent settings.""" + async def test_model_config_overrides_model_settings_not_agent(self): + """Test that initial_model_settings from model_config override model settings + but not agent-derived settings.""" mock_model = Mock(spec=RealtimeModel) mock_model.connect = AsyncMock() mock_model.add_listener = Mock() @@ -1253,10 +1254,9 @@ async def test_model_config_overrides_agent_settings(self): agent.get_all_tools = AsyncMock(return_value=[{"type": "function", "name": "agent_tool"}]) agent.handoffs = [] - # Provide model config with overrides + # Provide model config with settings model_config: RealtimeModelConfig = { "initial_model_settings": { - "instructions": "Override instructions", "voice": "nova", "model_name": "gpt-4o-realtime", } @@ -1266,16 +1266,16 @@ async def test_model_config_overrides_agent_settings(self): await session.__aenter__() - # Verify overrides were applied + # Verify model config settings were applied connect_config = mock_model.connect.call_args[0][0] initial_settings = connect_config["initial_model_settings"] - # Should have override values - assert initial_settings["instructions"] == "Override instructions" + # Agent-derived settings should come from agent + assert initial_settings["instructions"] == "Agent instructions" + assert initial_settings["tools"] == [{"type": "function", "name": "agent_tool"}] + # Model config settings should be applied assert initial_settings["voice"] == "nova" assert initial_settings["model_name"] == "gpt-4o-realtime" - # Should still have agent tools since not overridden - assert initial_settings["tools"] == [{"type": "function", "name": "agent_tool"}] await session.__aexit__(None, None, None) @@ -1320,3 +1320,169 @@ async def mock_get_handoffs(cls, agent, context_wrapper): assert initial_settings["handoffs"] == [mock_handoff] await session.__aexit__(None, None, None) + + +# Test: Model settings precedence +class TestModelSettingsPrecedence: + """Test suite for model settings precedence in RealtimeSession""" + + @pytest.mark.asyncio + async def test_model_settings_precedence_order(self): + """Test that model settings follow correct precedence: + run_config -> agent -> model_config""" + + # Create a test agent + agent = RealtimeAgent(name="test_agent", instructions="agent_instructions") + agent.handoffs = [] + + # Mock the agent methods to return known values + agent.get_system_prompt = AsyncMock(return_value="agent_system_prompt") # type: ignore + agent.get_all_tools = AsyncMock(return_value=[]) # type: ignore + + # Mock model + mock_model = Mock(spec=RealtimeModel) + mock_model.connect = AsyncMock() + + # Define settings at each level with different values + run_config_settings: RealtimeSessionModelSettings = { + "voice": "run_config_voice", + "modalities": ["text"], + } + + model_config_initial_settings: RealtimeSessionModelSettings = { + "voice": "model_config_voice", # Should override run_config + "tool_choice": "auto", # New setting not in run_config + } + + run_config: RealtimeRunConfig = {"model_settings": run_config_settings} + + model_config: RealtimeModelConfig = { + "initial_model_settings": model_config_initial_settings + } + + # Create session with both configs + session = RealtimeSession( + model=mock_model, + agent=agent, + context=None, + model_config=model_config, + run_config=run_config, + ) + + # Mock the _get_handoffs method + async def mock_get_handoffs(cls, agent, context_wrapper): + return [] + + with pytest.MonkeyPatch().context() as m: + m.setattr("agents.realtime.session.RealtimeSession._get_handoffs", mock_get_handoffs) + + # Test the method directly + model_settings = await session._get_updated_model_settings_from_agent( + starting_settings=model_config_initial_settings, agent=agent + ) + + # Verify precedence order: + # 1. Agent settings should always be set (highest precedence for these) + assert model_settings["instructions"] == "agent_system_prompt" + assert model_settings["tools"] == [] + assert model_settings["handoffs"] == [] + + # 2. model_config settings should override run_config settings + assert model_settings["voice"] == "model_config_voice" # model_config wins + + # 3. run_config settings should be preserved when not overridden + assert model_settings["modalities"] == ["text"] # only in run_config + + # 4. model_config-only settings should be present + assert model_settings["tool_choice"] == "auto" # only in model_config + + @pytest.mark.asyncio + async def test_model_settings_with_run_config_only(self): + """Test that run_config model_settings are used when no model_config provided""" + + agent = RealtimeAgent(name="test_agent", instructions="test") + agent.handoffs = [] + agent.get_system_prompt = AsyncMock(return_value="test_prompt") # type: ignore + agent.get_all_tools = AsyncMock(return_value=[]) # type: ignore + + mock_model = Mock(spec=RealtimeModel) + + run_config_settings: RealtimeSessionModelSettings = { + "voice": "run_config_only_voice", + "modalities": ["text", "audio"], + "input_audio_format": "pcm16", + } + + session = RealtimeSession( + model=mock_model, + agent=agent, + context=None, + model_config=None, # No model config + run_config={"model_settings": run_config_settings}, + ) + + async def mock_get_handoffs(cls, agent, context_wrapper): + return [] + + with pytest.MonkeyPatch().context() as m: + m.setattr("agents.realtime.session.RealtimeSession._get_handoffs", mock_get_handoffs) + + model_settings = await session._get_updated_model_settings_from_agent( + starting_settings=None, # No initial settings + agent=agent, + ) + + # Agent settings should be present + assert model_settings["instructions"] == "test_prompt" + assert model_settings["tools"] == [] + assert model_settings["handoffs"] == [] + + # All run_config settings should be preserved (no overrides) + assert model_settings["voice"] == "run_config_only_voice" + assert model_settings["modalities"] == ["text", "audio"] + assert model_settings["input_audio_format"] == "pcm16" + + @pytest.mark.asyncio + async def test_model_settings_with_model_config_only(self): + """Test that model_config settings are used when no run_config model_settings""" + + agent = RealtimeAgent(name="test_agent", instructions="test") + agent.handoffs = [] + agent.get_system_prompt = AsyncMock(return_value="test_prompt") # type: ignore + agent.get_all_tools = AsyncMock(return_value=[]) # type: ignore + + mock_model = Mock(spec=RealtimeModel) + + model_config_settings: RealtimeSessionModelSettings = { + "voice": "model_config_only_voice", + "tool_choice": "required", + "output_audio_format": "g711_ulaw", + } + + session = RealtimeSession( + model=mock_model, + agent=agent, + context=None, + model_config={"initial_model_settings": model_config_settings}, + run_config={}, # No model_settings in run_config + ) + + async def mock_get_handoffs(cls, agent, context_wrapper): + return [] + + with pytest.MonkeyPatch().context() as m: + m.setattr("agents.realtime.session.RealtimeSession._get_handoffs", mock_get_handoffs) + + model_settings = await session._get_updated_model_settings_from_agent( + starting_settings=model_config_settings, agent=agent + ) + + # Agent settings should be present + assert model_settings["instructions"] == "test_prompt" + assert model_settings["tools"] == [] + assert model_settings["handoffs"] == [] + + # All model_config settings should be preserved + assert model_settings["voice"] == "model_config_only_voice" + assert model_settings["tool_choice"] == "required" + assert model_settings["output_audio_format"] == "g711_ulaw" diff --git a/tests/realtime/test_tracing.py b/tests/realtime/test_tracing.py index 6ef1ae9a7..69de79e83 100644 --- a/tests/realtime/test_tracing.py +++ b/tests/realtime/test_tracing.py @@ -239,7 +239,9 @@ async def test_tracing_disabled_prevents_tracing(self, mock_websocket): ) # Test the _get_updated_model_settings_from_agent method directly - model_settings = await session._get_updated_model_settings_from_agent(agent) + model_settings = await session._get_updated_model_settings_from_agent( + starting_settings=None, agent=agent + ) # When tracing is disabled, model settings should have tracing=None assert model_settings["tracing"] is None From 4e4f440f805de4b80a1e8ebb1fa2fddf0cdbaa04 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 21 Jul 2025 11:05:38 -0400 Subject: [PATCH 269/337] Realtime: make sure we use the initial model settings --- README.md | 223 +++++++++++++++++---------------- src/agents/realtime/session.py | 19 +-- tests/realtime/test_session.py | 186 +++++++++++++++++++++++++-- tests/realtime/test_tracing.py | 4 +- 4 files changed, 304 insertions(+), 128 deletions(-) diff --git a/README.md b/README.md index 638f94b21..7a352e330 100644 --- a/README.md +++ b/README.md @@ -17,125 +17,19 @@ The OpenAI Agents SDK is a lightweight yet powerful framework for building multi Explore the [examples](examples) directory to see the SDK in action, and read our [documentation](https://openai.github.io/openai-agents-python/) for more details. -## Sessions - -The Agents SDK provides built-in session memory to automatically maintain conversation history across multiple agent runs, eliminating the need to manually handle `.to_input_list()` between turns. - -### Quick start - -```python -from agents import Agent, Runner, SQLiteSession - -# Create agent -agent = Agent( - name="Assistant", - instructions="Reply very concisely.", -) - -# Create a session instance -session = SQLiteSession("conversation_123") - -# First turn -result = await Runner.run( - agent, - "What city is the Golden Gate Bridge in?", - session=session -) -print(result.final_output) # "San Francisco" - -# Second turn - agent automatically remembers previous context -result = await Runner.run( - agent, - "What state is it in?", - session=session -) -print(result.final_output) # "California" - -# Also works with synchronous runner -result = Runner.run_sync( - agent, - "What's the population?", - session=session -) -print(result.final_output) # "Approximately 39 million" -``` - -### Session options - -- **No memory** (default): No session memory when session parameter is omitted -- **`session: Session = DatabaseSession(...)`**: Use a Session instance to manage conversation history - -```python -from agents import Agent, Runner, SQLiteSession - -# Custom SQLite database file -session = SQLiteSession("user_123", "conversations.db") -agent = Agent(name="Assistant") - -# Different session IDs maintain separate conversation histories -result1 = await Runner.run( - agent, - "Hello", - session=session -) -result2 = await Runner.run( - agent, - "Hello", - session=SQLiteSession("user_456", "conversations.db") -) -``` - -### Custom session implementations - -You can implement your own session memory by creating a class that follows the `Session` protocol: - -```python -from agents.memory import Session -from typing import List - -class MyCustomSession: - """Custom session implementation following the Session protocol.""" - - def __init__(self, session_id: str): - self.session_id = session_id - # Your initialization here - - async def get_items(self, limit: int | None = None) -> List[dict]: - # Retrieve conversation history for the session - pass - - async def add_items(self, items: List[dict]) -> None: - # Store new items for the session - pass - - async def pop_item(self) -> dict | None: - # Remove and return the most recent item from the session - pass - - async def clear_session(self) -> None: - # Clear all items for the session - pass - -# Use your custom session -agent = Agent(name="Assistant") -result = await Runner.run( - agent, - "Hello", - session=MyCustomSession("my_session") -) -``` - ## Get started 1. Set up your Python environment -- Option A: Using venv (traditional method) +- Option A: Using venv (traditional method) + ```bash python -m venv env source env/bin/activate # On Windows: env\Scripts\activate ``` -- Option B: Using uv (recommended) +- Option B: Using uv (recommended) + ```bash uv venv source .venv/bin/activate # On Windows: .venv\Scripts\activate @@ -263,6 +157,114 @@ The Agents SDK is designed to be highly flexible, allowing you to model a wide r The Agents SDK automatically traces your agent runs, making it easy to track and debug the behavior of your agents. Tracing is extensible by design, supporting custom spans and a wide variety of external destinations, including [Logfire](https://logfire.pydantic.dev/docs/integrations/llms/openai/#openai-agents), [AgentOps](https://docs.agentops.ai/v1/integrations/agentssdk), [Braintrust](https://braintrust.dev/docs/guides/traces/integrations#openai-agents-sdk), [Scorecard](https://docs.scorecard.io/docs/documentation/features/tracing#openai-agents-sdk-integration), and [Keywords AI](https://docs.keywordsai.co/integration/development-frameworks/openai-agent). For more details about how to customize or disable tracing, see [Tracing](http://openai.github.io/openai-agents-python/tracing), which also includes a larger list of [external tracing processors](http://openai.github.io/openai-agents-python/tracing/#external-tracing-processors-list). +## Sessions + +The Agents SDK provides built-in session memory to automatically maintain conversation history across multiple agent runs, eliminating the need to manually handle `.to_input_list()` between turns. + +### Quick start + +```python +from agents import Agent, Runner, SQLiteSession + +# Create agent +agent = Agent( + name="Assistant", + instructions="Reply very concisely.", +) + +# Create a session instance +session = SQLiteSession("conversation_123") + +# First turn +result = await Runner.run( + agent, + "What city is the Golden Gate Bridge in?", + session=session +) +print(result.final_output) # "San Francisco" + +# Second turn - agent automatically remembers previous context +result = await Runner.run( + agent, + "What state is it in?", + session=session +) +print(result.final_output) # "California" + +# Also works with synchronous runner +result = Runner.run_sync( + agent, + "What's the population?", + session=session +) +print(result.final_output) # "Approximately 39 million" +``` + +### Session options + +- **No memory** (default): No session memory when session parameter is omitted +- **`session: Session = DatabaseSession(...)`**: Use a Session instance to manage conversation history + +```python +from agents import Agent, Runner, SQLiteSession + +# Custom SQLite database file +session = SQLiteSession("user_123", "conversations.db") +agent = Agent(name="Assistant") + +# Different session IDs maintain separate conversation histories +result1 = await Runner.run( + agent, + "Hello", + session=session +) +result2 = await Runner.run( + agent, + "Hello", + session=SQLiteSession("user_456", "conversations.db") +) +``` + +### Custom session implementations + +You can implement your own session memory by creating a class that follows the `Session` protocol: + +```python +from agents.memory import Session +from typing import List + +class MyCustomSession: + """Custom session implementation following the Session protocol.""" + + def __init__(self, session_id: str): + self.session_id = session_id + # Your initialization here + + async def get_items(self, limit: int | None = None) -> List[dict]: + # Retrieve conversation history for the session + pass + + async def add_items(self, items: List[dict]) -> None: + # Store new items for the session + pass + + async def pop_item(self) -> dict | None: + # Remove and return the most recent item from the session + pass + + async def clear_session(self) -> None: + # Clear all items for the session + pass + +# Use your custom session +agent = Agent(name="Assistant") +result = await Runner.run( + agent, + "Hello", + session=MyCustomSession("my_session") +) +``` + ## Development (only needed if you need to edit the SDK/examples) 0. Ensure you have [`uv`](https://docs.astral.sh/uv/) installed. @@ -284,6 +286,7 @@ make check # run tests linter and typechecker ``` Or to run them individually: + ``` make tests # run tests make mypy # run typechecker diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index 82ff924b8..11e4447f2 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -121,7 +121,8 @@ async def __aenter__(self) -> RealtimeSession: model_config = self._model_config.copy() model_config["initial_model_settings"] = await self._get_updated_model_settings_from_agent( - self._current_agent + starting_settings=self._model_config.get("initial_model_settings", None), + agent=self._current_agent, ) # Connect to the model @@ -330,7 +331,8 @@ async def _handle_tool_call(self, event: RealtimeModelToolCallEvent) -> None: # Get updated model settings from new agent updated_settings = await self._get_updated_model_settings_from_agent( - self._current_agent + starting_settings=None, + agent=self._current_agent, ) # Send handoff event @@ -509,9 +511,16 @@ async def _cleanup(self) -> None: async def _get_updated_model_settings_from_agent( self, + starting_settings: RealtimeSessionModelSettings | None, agent: RealtimeAgent, ) -> RealtimeSessionModelSettings: - updated_settings: RealtimeSessionModelSettings = {} + # Start with run config model settings as base + run_config_settings = self._run_config.get("model_settings", {}) + updated_settings: RealtimeSessionModelSettings = run_config_settings.copy() + # Apply starting settings (from model config) next + if starting_settings: + updated_settings.update(starting_settings) + instructions, tools, handoffs = await asyncio.gather( agent.get_system_prompt(self._context_wrapper), agent.get_all_tools(self._context_wrapper), @@ -521,10 +530,6 @@ async def _get_updated_model_settings_from_agent( updated_settings["tools"] = tools or [] updated_settings["handoffs"] = handoffs or [] - # Override with initial settings - initial_settings = self._model_config.get("initial_model_settings", {}) - updated_settings.update(initial_settings) - disable_tracing = self._run_config.get("tracing_disabled", False) if disable_tracing: updated_settings["tracing"] = None diff --git a/tests/realtime/test_session.py b/tests/realtime/test_session.py index 3bb9b5931..fa17b94a6 100644 --- a/tests/realtime/test_session.py +++ b/tests/realtime/test_session.py @@ -6,7 +6,7 @@ from agents.guardrail import GuardrailFunctionOutput, OutputGuardrail from agents.handoffs import Handoff from agents.realtime.agent import RealtimeAgent -from agents.realtime.config import RealtimeRunConfig +from agents.realtime.config import RealtimeRunConfig, RealtimeSessionModelSettings from agents.realtime.events import ( RealtimeAgentEndEvent, RealtimeAgentStartEvent, @@ -1242,8 +1242,9 @@ async def test_session_gets_model_settings_from_agent_during_connection(self): await session.__aexit__(None, None, None) @pytest.mark.asyncio - async def test_model_config_overrides_agent_settings(self): - """Test that initial_model_settings from model_config override agent settings.""" + async def test_model_config_overrides_model_settings_not_agent(self): + """Test that initial_model_settings from model_config override model settings + but not agent-derived settings.""" mock_model = Mock(spec=RealtimeModel) mock_model.connect = AsyncMock() mock_model.add_listener = Mock() @@ -1253,10 +1254,9 @@ async def test_model_config_overrides_agent_settings(self): agent.get_all_tools = AsyncMock(return_value=[{"type": "function", "name": "agent_tool"}]) agent.handoffs = [] - # Provide model config with overrides + # Provide model config with settings model_config: RealtimeModelConfig = { "initial_model_settings": { - "instructions": "Override instructions", "voice": "nova", "model_name": "gpt-4o-realtime", } @@ -1266,16 +1266,16 @@ async def test_model_config_overrides_agent_settings(self): await session.__aenter__() - # Verify overrides were applied + # Verify model config settings were applied connect_config = mock_model.connect.call_args[0][0] initial_settings = connect_config["initial_model_settings"] - # Should have override values - assert initial_settings["instructions"] == "Override instructions" + # Agent-derived settings should come from agent + assert initial_settings["instructions"] == "Agent instructions" + assert initial_settings["tools"] == [{"type": "function", "name": "agent_tool"}] + # Model config settings should be applied assert initial_settings["voice"] == "nova" assert initial_settings["model_name"] == "gpt-4o-realtime" - # Should still have agent tools since not overridden - assert initial_settings["tools"] == [{"type": "function", "name": "agent_tool"}] await session.__aexit__(None, None, None) @@ -1320,3 +1320,169 @@ async def mock_get_handoffs(cls, agent, context_wrapper): assert initial_settings["handoffs"] == [mock_handoff] await session.__aexit__(None, None, None) + + +# Test: Model settings precedence +class TestModelSettingsPrecedence: + """Test suite for model settings precedence in RealtimeSession""" + + @pytest.mark.asyncio + async def test_model_settings_precedence_order(self): + """Test that model settings follow correct precedence: + run_config -> agent -> model_config""" + + # Create a test agent + agent = RealtimeAgent(name="test_agent", instructions="agent_instructions") + agent.handoffs = [] + + # Mock the agent methods to return known values + agent.get_system_prompt = AsyncMock(return_value="agent_system_prompt") # type: ignore + agent.get_all_tools = AsyncMock(return_value=[]) # type: ignore + + # Mock model + mock_model = Mock(spec=RealtimeModel) + mock_model.connect = AsyncMock() + + # Define settings at each level with different values + run_config_settings: RealtimeSessionModelSettings = { + "voice": "run_config_voice", + "modalities": ["text"], + } + + model_config_initial_settings: RealtimeSessionModelSettings = { + "voice": "model_config_voice", # Should override run_config + "tool_choice": "auto", # New setting not in run_config + } + + run_config: RealtimeRunConfig = {"model_settings": run_config_settings} + + model_config: RealtimeModelConfig = { + "initial_model_settings": model_config_initial_settings + } + + # Create session with both configs + session = RealtimeSession( + model=mock_model, + agent=agent, + context=None, + model_config=model_config, + run_config=run_config, + ) + + # Mock the _get_handoffs method + async def mock_get_handoffs(cls, agent, context_wrapper): + return [] + + with pytest.MonkeyPatch().context() as m: + m.setattr("agents.realtime.session.RealtimeSession._get_handoffs", mock_get_handoffs) + + # Test the method directly + model_settings = await session._get_updated_model_settings_from_agent( + starting_settings=model_config_initial_settings, agent=agent + ) + + # Verify precedence order: + # 1. Agent settings should always be set (highest precedence for these) + assert model_settings["instructions"] == "agent_system_prompt" + assert model_settings["tools"] == [] + assert model_settings["handoffs"] == [] + + # 2. model_config settings should override run_config settings + assert model_settings["voice"] == "model_config_voice" # model_config wins + + # 3. run_config settings should be preserved when not overridden + assert model_settings["modalities"] == ["text"] # only in run_config + + # 4. model_config-only settings should be present + assert model_settings["tool_choice"] == "auto" # only in model_config + + @pytest.mark.asyncio + async def test_model_settings_with_run_config_only(self): + """Test that run_config model_settings are used when no model_config provided""" + + agent = RealtimeAgent(name="test_agent", instructions="test") + agent.handoffs = [] + agent.get_system_prompt = AsyncMock(return_value="test_prompt") # type: ignore + agent.get_all_tools = AsyncMock(return_value=[]) # type: ignore + + mock_model = Mock(spec=RealtimeModel) + + run_config_settings: RealtimeSessionModelSettings = { + "voice": "run_config_only_voice", + "modalities": ["text", "audio"], + "input_audio_format": "pcm16", + } + + session = RealtimeSession( + model=mock_model, + agent=agent, + context=None, + model_config=None, # No model config + run_config={"model_settings": run_config_settings}, + ) + + async def mock_get_handoffs(cls, agent, context_wrapper): + return [] + + with pytest.MonkeyPatch().context() as m: + m.setattr("agents.realtime.session.RealtimeSession._get_handoffs", mock_get_handoffs) + + model_settings = await session._get_updated_model_settings_from_agent( + starting_settings=None, # No initial settings + agent=agent, + ) + + # Agent settings should be present + assert model_settings["instructions"] == "test_prompt" + assert model_settings["tools"] == [] + assert model_settings["handoffs"] == [] + + # All run_config settings should be preserved (no overrides) + assert model_settings["voice"] == "run_config_only_voice" + assert model_settings["modalities"] == ["text", "audio"] + assert model_settings["input_audio_format"] == "pcm16" + + @pytest.mark.asyncio + async def test_model_settings_with_model_config_only(self): + """Test that model_config settings are used when no run_config model_settings""" + + agent = RealtimeAgent(name="test_agent", instructions="test") + agent.handoffs = [] + agent.get_system_prompt = AsyncMock(return_value="test_prompt") # type: ignore + agent.get_all_tools = AsyncMock(return_value=[]) # type: ignore + + mock_model = Mock(spec=RealtimeModel) + + model_config_settings: RealtimeSessionModelSettings = { + "voice": "model_config_only_voice", + "tool_choice": "required", + "output_audio_format": "g711_ulaw", + } + + session = RealtimeSession( + model=mock_model, + agent=agent, + context=None, + model_config={"initial_model_settings": model_config_settings}, + run_config={}, # No model_settings in run_config + ) + + async def mock_get_handoffs(cls, agent, context_wrapper): + return [] + + with pytest.MonkeyPatch().context() as m: + m.setattr("agents.realtime.session.RealtimeSession._get_handoffs", mock_get_handoffs) + + model_settings = await session._get_updated_model_settings_from_agent( + starting_settings=model_config_settings, agent=agent + ) + + # Agent settings should be present + assert model_settings["instructions"] == "test_prompt" + assert model_settings["tools"] == [] + assert model_settings["handoffs"] == [] + + # All model_config settings should be preserved + assert model_settings["voice"] == "model_config_only_voice" + assert model_settings["tool_choice"] == "required" + assert model_settings["output_audio_format"] == "g711_ulaw" diff --git a/tests/realtime/test_tracing.py b/tests/realtime/test_tracing.py index 6ef1ae9a7..69de79e83 100644 --- a/tests/realtime/test_tracing.py +++ b/tests/realtime/test_tracing.py @@ -239,7 +239,9 @@ async def test_tracing_disabled_prevents_tracing(self, mock_websocket): ) # Test the _get_updated_model_settings_from_agent method directly - model_settings = await session._get_updated_model_settings_from_agent(agent) + model_settings = await session._get_updated_model_settings_from_agent( + starting_settings=None, agent=agent + ) # When tracing is disabled, model settings should have tracing=None assert model_settings["tracing"] is None From 6d19da7cacb40ad65d2a452cef65960fc842e74b Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 21 Jul 2025 15:27:32 -0400 Subject: [PATCH 270/337] v0.2.3 --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 5bc0456b8..f21040b45 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "openai-agents" -version = "0.2.2" +version = "0.2.3" description = "OpenAI Agents SDK" readme = "README.md" requires-python = ">=3.9" From 4f831e99590bb20fb0c8e269df0df3f5cb8ab161 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 21 Jul 2025 15:27:32 -0400 Subject: [PATCH 271/337] v0.2.3 --- pyproject.toml | 2 +- uv.lock | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 5bc0456b8..f21040b45 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "openai-agents" -version = "0.2.2" +version = "0.2.3" description = "OpenAI Agents SDK" readme = "README.md" requires-python = ">=3.9" diff --git a/uv.lock b/uv.lock index bcd61fe4a..e24040d4a 100644 --- a/uv.lock +++ b/uv.lock @@ -1482,7 +1482,7 @@ wheels = [ [[package]] name = "openai-agents" -version = "0.2.2" +version = "0.2.3" source = { editable = "." } dependencies = [ { name = "griffe" }, From c097d24da3c25d74887067bf8e3bde47a6d35c41 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 22 Jul 2025 11:10:21 -0400 Subject: [PATCH 272/337] Set up codex for issues and PRs --- .github/codex/home/config.toml | 1 + .github/codex/labels/codex-attempt.md | 9 ++++ .github/codex/labels/codex-review.md | 7 ++++ .github/codex/labels/codex-triage.md | 7 ++++ .github/workflows/codex.yml | 60 +++++++++++++++++++++++++++ 5 files changed, 84 insertions(+) create mode 100644 .github/codex/home/config.toml create mode 100644 .github/codex/labels/codex-attempt.md create mode 100644 .github/codex/labels/codex-review.md create mode 100644 .github/codex/labels/codex-triage.md create mode 100644 .github/workflows/codex.yml diff --git a/.github/codex/home/config.toml b/.github/codex/home/config.toml new file mode 100644 index 000000000..94b7fc75c --- /dev/null +++ b/.github/codex/home/config.toml @@ -0,0 +1 @@ +model = "o3" diff --git a/.github/codex/labels/codex-attempt.md b/.github/codex/labels/codex-attempt.md new file mode 100644 index 000000000..aaf402ba2 --- /dev/null +++ b/.github/codex/labels/codex-attempt.md @@ -0,0 +1,9 @@ +Attempt to solve the reported issue. + +If a code change is required, create a new branch, commit the fix, and open a pull request that resolves the problem. + +Here is the original GitHub issue that triggered this run: + +### {CODEX_ACTION_ISSUE_TITLE} + +{CODEX_ACTION_ISSUE_BODY} \ No newline at end of file diff --git a/.github/codex/labels/codex-review.md b/.github/codex/labels/codex-review.md new file mode 100644 index 000000000..7c6c14ad5 --- /dev/null +++ b/.github/codex/labels/codex-review.md @@ -0,0 +1,7 @@ +Review this PR and respond with a very concise final message, formatted in Markdown. + +There should be a summary of the changes (1-2 sentences) and a few bullet points if necessary. + +Then provide the **review** (1-2 sentences plus bullet points, friendly tone). + +{CODEX_ACTION_GITHUB_EVENT_PATH} contains the JSON that triggered this GitHub workflow. It contains the `base` and `head` refs that define this PR. Both refs are available locally. diff --git a/.github/codex/labels/codex-triage.md b/.github/codex/labels/codex-triage.md new file mode 100644 index 000000000..12be75d66 --- /dev/null +++ b/.github/codex/labels/codex-triage.md @@ -0,0 +1,7 @@ +Troubleshoot whether the reported issue is valid. + +Provide a concise and respectful comment summarizing the findings. + +### {CODEX_ACTION_ISSUE_TITLE} + +{CODEX_ACTION_ISSUE_BODY} \ No newline at end of file diff --git a/.github/workflows/codex.yml b/.github/workflows/codex.yml new file mode 100644 index 000000000..56c3d09a9 --- /dev/null +++ b/.github/workflows/codex.yml @@ -0,0 +1,60 @@ +name: Codex + +on: + issues: + types: [opened, labeled] + pull_request: + branches: [main] + types: [labeled] + +jobs: + codex: + # This `if` check provides complex filtering logic to avoid running Codex + # on every PR. Admittedly, one thing this does not verify is whether the + # sender has write access to the repo: that must be done as part of a + # runtime step. + # + # Note the label values should match the ones in the .github/codex/labels + # folder. + if: | + (github.event_name == 'issues' && ( + (github.event.action == 'labeled' && (github.event.label.name == 'codex-attempt' || github.event.label.name == 'codex-triage')) + )) || + (github.event_name == 'pull_request' && github.event.action == 'labeled' && github.event.label.name == 'codex-review') + runs-on: ubuntu-latest + permissions: + contents: write # can push or create branches + issues: write # for comments + labels on issues/PRs + pull-requests: write # for PR comments/labels + steps: + # TODO: Consider adding an optional mode (--dry-run?) to actions/codex + # that verifies whether Codex should actually be run for this event. + # (For example, it may be rejected because the sender does not have + # write access to the repo.) The benefit would be two-fold: + # 1. As the first step of this job, it gives us a chance to add a reaction + # or comment to the PR/issue ASAP to "ack" the request. + # 2. It saves resources by skipping the clone and setup steps below if + # Codex is not going to run. + + - name: Checkout repository + uses: actions/checkout@v4 + + # We install the dependencies like we would for an ordinary CI job, + # particularly because Codex will not have network access to install + # these dependencies. + - name: Setup uv + uses: astral-sh/setup-uv@v5 + with: + enable-cache: true + + - name: Install dependencies + run: make sync + + # Note it is possible that the `verify` step internal to Run Codex will + # fail, in which case the work to setup the repo was worthless :( + - name: Run Codex + uses: ./.github/actions/codex + with: + openai_api_key: ${{ secrets.PROD_OPENAI_API_KEY }} + github_token: ${{ secrets.GITHUB_TOKEN }} + codex_home: ./.github/codex/home From 4a06f14463b845d6bf2ca30f8122dd3bf50c912e Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 22 Jul 2025 11:47:41 -0400 Subject: [PATCH 273/337] twilio --- docs/scripts/generate_ref_files.py | 2 + examples/realtime/twilio/.env.example | 9 + examples/realtime/twilio/README.md | 91 ++++++++++ examples/realtime/twilio/requirements.txt | 4 + examples/realtime/twilio/server.py | 179 +++++++++++++++++++ src/agents/models/chatcmpl_stream_handler.py | 24 +-- 6 files changed, 298 insertions(+), 11 deletions(-) create mode 100644 examples/realtime/twilio/.env.example create mode 100644 examples/realtime/twilio/README.md create mode 100644 examples/realtime/twilio/requirements.txt create mode 100644 examples/realtime/twilio/server.py diff --git a/docs/scripts/generate_ref_files.py b/docs/scripts/generate_ref_files.py index 9deef7528..84ecdf148 100644 --- a/docs/scripts/generate_ref_files.py +++ b/docs/scripts/generate_ref_files.py @@ -31,6 +31,7 @@ def md_target(py_path: Path) -> Path: rel = py_path.relative_to(SRC_ROOT).with_suffix(".md") return DOCS_ROOT / rel + def pretty_title(last_segment: str) -> str: """ Convert a module/file segment like 'tool_context' to 'Tool Context'. @@ -39,6 +40,7 @@ def pretty_title(last_segment: str) -> str: cleaned = last_segment.replace("_", " ").replace("-", " ") return capwords(cleaned) + # ---- Main ------------------------------------------------------------ diff --git a/examples/realtime/twilio/.env.example b/examples/realtime/twilio/.env.example new file mode 100644 index 000000000..993488491 --- /dev/null +++ b/examples/realtime/twilio/.env.example @@ -0,0 +1,9 @@ +# OpenAI API Key - Required for Realtime API access +OPENAI_API_KEY=your_openai_api_key_here + +# Port for the server (optional, defaults to 8000) +PORT=8000 + +# Your ngrok or public URL (update the server.py TwiML response with this) +# Example: https://abc123.ngrok.io +PUBLIC_URL=your_public_url_here \ No newline at end of file diff --git a/examples/realtime/twilio/README.md b/examples/realtime/twilio/README.md new file mode 100644 index 000000000..eaf33bcdd --- /dev/null +++ b/examples/realtime/twilio/README.md @@ -0,0 +1,91 @@ +# Realtime Twilio Integration + +This example demonstrates how to connect the OpenAI Realtime API to a phone call using Twilio's Media Streams. The server handles incoming phone calls and streams audio between Twilio and the OpenAI Realtime API, enabling real-time voice conversations with an AI agent over the phone. + +## Prerequisites + +- Python 3.8+ +- OpenAI API key with Realtime API access +- Twilio account with a phone number +- A tunneling service like ngrok to expose your local server + +## Setup + +1. **Install dependencies:** + ```bash + cd examples/realtime/twilio + pip install -r requirements.txt + ``` + +2. **Set up environment variables:** + ```bash + cp .env.example .env + # Edit .env and add your OpenAI API key + ``` + +3. **Start the server:** + ```bash + python server.py + ``` + The server will start on port 8000 by default. + +4. **Expose your server publicly:** + ```bash + ngrok http 8000 + ``` + Note the public URL (e.g., `https://abc123.ngrok.io`) + +5. **Update the TwiML response:** + Edit `server.py` and replace `your-ngrok-url.ngrok.io` in the `incoming_call()` function with your actual ngrok URL. + +6. **Configure your Twilio phone number:** + - Log into your Twilio Console + - Go to Phone Numbers → Manage → Active numbers + - Click on your phone number + - Set the webhook URL for incoming calls to: `https://your-ngrok-url.ngrok.io/incoming-call` + - Set the HTTP method to POST (or GET, both are supported) + +## Usage + +1. Call your Twilio phone number +2. You'll hear: "Hello! You're now connected to an AI assistant. You can start talking!" +3. Start speaking - the AI will respond in real-time +4. The assistant has access to tools like weather information and current time + +## How It Works + +1. **Incoming Call**: When someone calls your Twilio number, Twilio makes a request to `/incoming-call` +2. **TwiML Response**: The server returns TwiML that: + - Plays a greeting message + - Connects the call to a WebSocket stream at `/media-stream` +3. **WebSocket Connection**: Twilio establishes a WebSocket connection for bidirectional audio streaming +4. **Audio Processing**: + - Audio from the caller is base64 decoded and sent to OpenAI Realtime API + - Audio responses from OpenAI are base64 encoded and sent back to Twilio + - Twilio plays the audio to the caller + +## Configuration + +- **Port**: Set `PORT` environment variable (default: 8000) +- **OpenAI API Key**: Set `OPENAI_API_KEY` environment variable +- **Agent Instructions**: Modify the `RealtimeAgent` configuration in `server.py` +- **Tools**: Add or modify function tools in `server.py` + +## Troubleshooting + +- **WebSocket connection issues**: Ensure your ngrok URL is correct and publicly accessible +- **Audio quality**: Twilio streams audio in mulaw format at 8kHz, which may affect quality +- **Latency**: Network latency between Twilio, your server, and OpenAI affects response time +- **Logs**: Check the console output for detailed connection and error logs + +## Architecture + +``` +Phone Call → Twilio → WebSocket → Your Server → OpenAI Realtime API + ↓ + RealtimeAgent with Tools + ↓ + Audio Response → Twilio → Phone Call +``` + +The server acts as a bridge between Twilio's Media Streams and OpenAI's Realtime API, handling the protocol differences and audio format conversions. \ No newline at end of file diff --git a/examples/realtime/twilio/requirements.txt b/examples/realtime/twilio/requirements.txt new file mode 100644 index 000000000..8fc858c40 --- /dev/null +++ b/examples/realtime/twilio/requirements.txt @@ -0,0 +1,4 @@ +fastapi +uvicorn[standard] +websockets +python-dotenv \ No newline at end of file diff --git a/examples/realtime/twilio/server.py b/examples/realtime/twilio/server.py new file mode 100644 index 000000000..feb630b95 --- /dev/null +++ b/examples/realtime/twilio/server.py @@ -0,0 +1,179 @@ +import asyncio +import base64 +import json +import logging +import os +from typing import Any + +from fastapi import FastAPI, WebSocket, WebSocketDisconnect +from fastapi.responses import PlainTextResponse + +from agents import function_tool +from agents.realtime import RealtimeAgent, RealtimeRunner, RealtimeSession + +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + + +@function_tool +def get_weather(city: str) -> str: + """Get the weather in a city.""" + return f"The weather in {city} is sunny." + + +@function_tool +def get_current_time() -> str: + """Get the current time.""" + from datetime import datetime + + return f"The current time is {datetime.now().strftime('%H:%M:%S')}" + + +agent = RealtimeAgent( + name="Twilio Assistant", + instructions="You are a helpful assistant that starts every conversation with a creative greeting. Keep responses concise and friendly since this is a phone conversation.", + tools=[get_weather, get_current_time], +) + + +class TwilioWebSocketManager: + def __init__(self): + self.active_sessions: dict[str, RealtimeSession] = {} + self.session_contexts: dict[str, Any] = {} + self.websockets: dict[str, WebSocket] = {} + + async def connect(self, websocket: WebSocket, call_sid: str): + await websocket.accept() + self.websockets[call_sid] = websocket + logger.info(f"WebSocket connection accepted for call {call_sid}") + + runner = RealtimeRunner(agent) + session_context = await runner.run() + session = await session_context.__aenter__() + self.active_sessions[call_sid] = session + self.session_contexts[call_sid] = session_context + + # Start event processing task + asyncio.create_task(self._process_events(call_sid)) + + async def disconnect(self, call_sid: str): + logger.info(f"Disconnecting call {call_sid}") + if call_sid in self.session_contexts: + await self.session_contexts[call_sid].__aexit__(None, None, None) + del self.session_contexts[call_sid] + if call_sid in self.active_sessions: + del self.active_sessions[call_sid] + if call_sid in self.websockets: + del self.websockets[call_sid] + + async def handle_twilio_message(self, call_sid: str, message: dict[str, Any]): + """Handle incoming Twilio WebSocket messages""" + event = message.get("event") + + if event == "connected": + logger.info(f"Twilio media stream connected for call {call_sid}") + elif event == "start": + logger.info(f"Media stream started for call {call_sid}") + elif event == "media": + # Handle audio data from Twilio + payload = message.get("media", {}) + audio_data = payload.get("payload", "") + if audio_data and call_sid in self.active_sessions: + # Decode base64 audio and send to OpenAI + try: + audio_bytes = base64.b64decode(audio_data) + await self.active_sessions[call_sid].send_audio(audio_bytes) + except Exception as e: + logger.error(f"Error processing audio for call {call_sid}: {e}") + elif event == "stop": + logger.info(f"Media stream stopped for call {call_sid}") + + async def send_audio_to_twilio(self, call_sid: str, audio_bytes: bytes): + """Send audio back to Twilio""" + if call_sid in self.websockets: + websocket = self.websockets[call_sid] + # Encode audio as base64 for Twilio + audio_base64 = base64.b64encode(audio_bytes).decode("utf-8") + + message = {"event": "media", "streamSid": call_sid, "media": {"payload": audio_base64}} + + try: + await websocket.send_text(json.dumps(message)) + except Exception as e: + logger.error(f"Error sending audio to Twilio for call {call_sid}: {e}") + + async def _process_events(self, call_sid: str): + """Process events from OpenAI Realtime API and send audio to Twilio""" + try: + session = self.active_sessions[call_sid] + + async for event in session: + if event.type == "audio": + # Send audio back to Twilio + await self.send_audio_to_twilio(call_sid, event.audio.data) + elif event.type == "error": + logger.error(f"OpenAI Realtime API error for call {call_sid}: {event}") + + except Exception as e: + logger.error(f"Error processing events for call {call_sid}: {e}") + + +manager = TwilioWebSocketManager() + +app = FastAPI() + + +@app.get("/") +async def root(): + return {"message": "Twilio Media Stream Server is running!"} + + +@app.post("/incoming-call") +@app.get("/incoming-call") +async def incoming_call(): + """Handle incoming Twilio phone calls""" + twiml_response = """ + + Hello! You're now connected to an AI assistant. You can start talking! + + + +""" + return PlainTextResponse(content=twiml_response, media_type="text/xml") + + +@app.websocket("/media-stream") +async def media_stream_endpoint(websocket: WebSocket): + """WebSocket endpoint for Twilio Media Streams""" + call_sid = None + + try: + await websocket.accept() + logger.info("WebSocket connection accepted") + + while True: + data = await websocket.receive_text() + message = json.loads(data) + + # Extract call SID from the first message + if call_sid is None: + call_sid = message.get("streamSid", "unknown") + await manager.connect(websocket, call_sid) + + await manager.handle_twilio_message(call_sid, message) + + except WebSocketDisconnect: + logger.info("WebSocket disconnected") + if call_sid: + await manager.disconnect(call_sid) + except Exception as e: + logger.error(f"WebSocket error: {e}") + if call_sid: + await manager.disconnect(call_sid) + + +if __name__ == "__main__": + import uvicorn + + port = int(os.getenv("PORT", 8000)) + uvicorn.run(app, host="0.0.0.0", port=port) diff --git a/src/agents/models/chatcmpl_stream_handler.py b/src/agents/models/chatcmpl_stream_handler.py index eab4c291b..475d4f93f 100644 --- a/src/agents/models/chatcmpl_stream_handler.py +++ b/src/agents/models/chatcmpl_stream_handler.py @@ -288,10 +288,11 @@ async def handle_stream( function_call = state.function_calls[tc_delta.index] # Start streaming as soon as we have function name and call_id - if (not state.function_call_streaming[tc_delta.index] and - function_call.name and - function_call.call_id): - + if ( + not state.function_call_streaming[tc_delta.index] + and function_call.name + and function_call.call_id + ): # Calculate the output index for this function call function_call_starting_index = 0 if state.reasoning_content_index_and_output: @@ -308,9 +309,9 @@ async def handle_stream( # Mark this function call as streaming and store its output index state.function_call_streaming[tc_delta.index] = True - state.function_call_output_idx[ - tc_delta.index - ] = function_call_starting_index + state.function_call_output_idx[tc_delta.index] = ( + function_call_starting_index + ) # Send initial function call added event yield ResponseOutputItemAddedEvent( @@ -327,10 +328,11 @@ async def handle_stream( ) # Stream arguments if we've started streaming this function call - if (state.function_call_streaming.get(tc_delta.index, False) and - tc_function and - tc_function.arguments): - + if ( + state.function_call_streaming.get(tc_delta.index, False) + and tc_function + and tc_function.arguments + ): output_index = state.function_call_output_idx[tc_delta.index] yield ResponseFunctionCallArgumentsDeltaEvent( delta=tc_function.arguments, From 2ac93ebe826aeae856ff1591b03053193febc97b Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 22 Jul 2025 11:47:57 -0400 Subject: [PATCH 274/337] Use real codex action --- .github/workflows/codex.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/codex.yml b/.github/workflows/codex.yml index 56c3d09a9..3baa1564d 100644 --- a/.github/workflows/codex.yml +++ b/.github/workflows/codex.yml @@ -53,7 +53,7 @@ jobs: # Note it is possible that the `verify` step internal to Run Codex will # fail, in which case the work to setup the repo was worthless :( - name: Run Codex - uses: ./.github/actions/codex + uses: openai/codex-action@latest with: openai_api_key: ${{ secrets.PROD_OPENAI_API_KEY }} github_token: ${{ secrets.GITHUB_TOKEN }} From c7abc0f00e9478c2b7da93d962ebe56b72eda587 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 22 Jul 2025 11:48:30 -0400 Subject: [PATCH 275/337] Use real codex action --- .github/workflows/codex.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/codex.yml b/.github/workflows/codex.yml index 56c3d09a9..3baa1564d 100644 --- a/.github/workflows/codex.yml +++ b/.github/workflows/codex.yml @@ -53,7 +53,7 @@ jobs: # Note it is possible that the `verify` step internal to Run Codex will # fail, in which case the work to setup the repo was worthless :( - name: Run Codex - uses: ./.github/actions/codex + uses: openai/codex-action@latest with: openai_api_key: ${{ secrets.PROD_OPENAI_API_KEY }} github_token: ${{ secrets.GITHUB_TOKEN }} From 2fefd7b49c014a6bee447769319ed218d82471fa Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 22 Jul 2025 13:10:02 -0400 Subject: [PATCH 276/337] Update codex action to use repo syntax --- .github/workflows/codex.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/codex.yml b/.github/workflows/codex.yml index 3baa1564d..556e8d4d8 100644 --- a/.github/workflows/codex.yml +++ b/.github/workflows/codex.yml @@ -53,7 +53,7 @@ jobs: # Note it is possible that the `verify` step internal to Run Codex will # fail, in which case the work to setup the repo was worthless :( - name: Run Codex - uses: openai/codex-action@latest + uses: openai/codex/.github/actions/codex@main with: openai_api_key: ${{ secrets.PROD_OPENAI_API_KEY }} github_token: ${{ secrets.GITHUB_TOKEN }} From ce72c7b338da826de55b275828e0df359bef5291 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 22 Jul 2025 16:16:52 -0400 Subject: [PATCH 277/337] Realtime: fix interrupt and audio tracking --- src/agents/realtime/openai_realtime.py | 26 +++++++++++++++++++++---- tests/realtime/test_openai_realtime.py | 27 +++++++++++++++++++------- 2 files changed, 42 insertions(+), 11 deletions(-) diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index e03d56f4b..695d91c82 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -138,6 +138,7 @@ def __init__(self) -> None: self._ongoing_response: bool = False self._current_audio_content_index: int | None = None self._tracing_config: RealtimeModelTracingConfig | Literal["auto"] | None = None + self._created_session: OpenAISessionObject | None = None async def connect(self, options: RealtimeModelConfig) -> None: """Establish a connection to the model and keep it alive.""" @@ -298,10 +299,18 @@ async def _send_interrupt(self, event: RealtimeModelSendInterrupt) -> None: if not self._current_item_id or not self._audio_start_time: return - await self._cancel_response() + automatic_response_cancellation_enabled = ( + self._created_session + and self._created_session.turn_detection + and self._created_session.turn_detection.interrupt_response + ) + + if not automatic_response_cancellation_enabled: + await self._cancel_response() elapsed_time_ms = (datetime.now() - self._audio_start_time).total_seconds() * 1000 - if elapsed_time_ms > 0 and elapsed_time_ms < self._audio_length_ms: + + if elapsed_time_ms > 0 and elapsed_time_ms <= self._audio_length_ms: await self._emit_event(RealtimeModelAudioInterruptedEvent()) converted = _ConversionHelper.convert_interrupt( self._current_item_id, @@ -335,8 +344,16 @@ async def _handle_audio_delta(self, parsed: ResponseAudioDeltaEvent) -> None: ) def _calculate_audio_length_ms(self, audio_bytes: bytes) -> float: - """Calculate audio length in milliseconds for 24KHz PCM16LE format.""" - return len(audio_bytes) / 24 / 2 + audio_format = "pcm16" + if self._created_session and self._created_session.output_audio_format: + audio_format = self._created_session.output_audio_format + + if audio_format.startswith("g711"): + # 8kHz * 1 byte per sample + return (len(audio_bytes) / 8000) * 1000 # Convert seconds to milliseconds + else: + # 24kHz * 2 bytes per sample + return (len(audio_bytes) / (24000 * 2)) * 1000 # Convert seconds to milliseconds async def _handle_output_item(self, item: ConversationItem) -> None: """Handle response output item events (function calls and messages).""" @@ -439,6 +456,7 @@ async def _handle_ws_event(self, event: dict[str, Any]): self._ongoing_response = False await self._emit_event(RealtimeModelTurnEndedEvent()) elif parsed.type == "session.created": + self._created_session = parsed.session await self._send_tracing_config(self._tracing_config) elif parsed.type == "error": await self._emit_event(RealtimeModelErrorEvent(error=parsed.error)) diff --git a/tests/realtime/test_openai_realtime.py b/tests/realtime/test_openai_realtime.py index 5cb0eb0fa..7b1d0b112 100644 --- a/tests/realtime/test_openai_realtime.py +++ b/tests/realtime/test_openai_realtime.py @@ -344,17 +344,30 @@ async def test_audio_timing_calculation_accuracy(self, model): for event in audio_deltas: await model._handle_ws_event(event) - # Should accumulate audio length: 8 bytes / 24 / 2 = ~0.167ms per byte - # Total: 8 bytes / 24 / 2 = 0.167ms - expected_length = 8 / 24 / 2 + # Should accumulate audio length: 8 bytes / (24000 * 2) * 1000 = ~0.167ms total + expected_length = (8 / (24000 * 2)) * 1000 assert abs(model._audio_length_ms - expected_length) < 0.001 def test_calculate_audio_length_ms_pure_function(self, model): """Test the pure audio length calculation function.""" - # Test various audio buffer sizes - assert model._calculate_audio_length_ms(b"test") == 4 / 24 / 2 # 4 bytes + # Test various audio buffer sizes for PCM16 (default) + assert model._calculate_audio_length_ms(b"test") == (4 / (24000 * 2)) * 1000 # 4 bytes assert model._calculate_audio_length_ms(b"") == 0 # empty - assert model._calculate_audio_length_ms(b"a" * 48) == 1.0 # exactly 1ms worth + assert model._calculate_audio_length_ms(b"a" * 48000) == 1000.0 # exactly 1 second worth + + def test_calculate_audio_length_ms_g711_format(self, model): + """Test audio length calculation for G.711 format.""" + from unittest.mock import Mock + + # Mock session with g711 format + mock_session = Mock() + mock_session.output_audio_format = "g711_ulaw" + model._created_session = mock_session + + # Test G.711: 8kHz * 1 byte per sample + assert model._calculate_audio_length_ms(b"test") == (4 / 8000) * 1000 # 4 bytes = 0.5ms + assert model._calculate_audio_length_ms(b"") == 0 # empty + assert model._calculate_audio_length_ms(b"a" * 8000) == 1000.0 # exactly 1 second worth @pytest.mark.asyncio async def test_handle_audio_delta_state_management(self, model): @@ -376,4 +389,4 @@ async def test_handle_audio_delta_state_management(self, model): assert model._current_audio_content_index == 5 assert model._current_item_id == "test_item" assert model._audio_start_time == mock_now - assert model._audio_length_ms == 4 / 24 / 2 # 4 bytes + assert model._audio_length_ms == (4 / (24000 * 2)) * 1000 # 4 bytes, converted to ms From 508c7a5897a8c2545101ffd4a4dc880e8b1618ff Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Thu, 24 Jul 2025 11:38:09 -0400 Subject: [PATCH 278/337] Realtime: send audio item/content index --- src/agents/realtime/model_events.py | 18 ++++++++++++++++++ src/agents/realtime/openai_realtime.py | 21 ++++++++++++++++++--- tests/realtime/test_session.py | 8 +++++--- 3 files changed, 41 insertions(+), 6 deletions(-) diff --git a/src/agents/realtime/model_events.py b/src/agents/realtime/model_events.py index 3a158ef4e..43b0dd025 100644 --- a/src/agents/realtime/model_events.py +++ b/src/agents/realtime/model_events.py @@ -40,6 +40,12 @@ class RealtimeModelAudioEvent: data: bytes response_id: str + item_id: str + """The ID of the item containing audio.""" + + content_index: int + """The index of the audio content in `item.content`""" + type: Literal["audio"] = "audio" @@ -47,6 +53,12 @@ class RealtimeModelAudioEvent: class RealtimeModelAudioInterruptedEvent: """Audio interrupted.""" + item_id: str + """The ID of the item containing audio.""" + + content_index: int + """The index of the audio content in `item.content`""" + type: Literal["audio_interrupted"] = "audio_interrupted" @@ -54,6 +66,12 @@ class RealtimeModelAudioInterruptedEvent: class RealtimeModelAudioDoneEvent: """Audio done.""" + item_id: str + """The ID of the item containing audio.""" + + content_index: int + """The index of the audio content in `item.content`""" + type: Literal["audio_done"] = "audio_done" diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index e03d56f4b..ab9408dfe 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -302,7 +302,12 @@ async def _send_interrupt(self, event: RealtimeModelSendInterrupt) -> None: elapsed_time_ms = (datetime.now() - self._audio_start_time).total_seconds() * 1000 if elapsed_time_ms > 0 and elapsed_time_ms < self._audio_length_ms: - await self._emit_event(RealtimeModelAudioInterruptedEvent()) + await self._emit_event( + RealtimeModelAudioInterruptedEvent( + item_id=self._current_item_id, + content_index=self._current_audio_content_index or 0, + ) + ) converted = _ConversionHelper.convert_interrupt( self._current_item_id, self._current_audio_content_index or 0, @@ -331,7 +336,12 @@ async def _handle_audio_delta(self, parsed: ResponseAudioDeltaEvent) -> None: # Calculate audio length in ms using 24KHz pcm16le self._audio_length_ms += self._calculate_audio_length_ms(audio_bytes) await self._emit_event( - RealtimeModelAudioEvent(data=audio_bytes, response_id=parsed.response_id) + RealtimeModelAudioEvent( + data=audio_bytes, + response_id=parsed.response_id, + item_id=parsed.item_id, + content_index=parsed.content_index, + ) ) def _calculate_audio_length_ms(self, audio_bytes: bytes) -> float: @@ -429,7 +439,12 @@ async def _handle_ws_event(self, event: dict[str, Any]): if parsed.type == "response.audio.delta": await self._handle_audio_delta(parsed) elif parsed.type == "response.audio.done": - await self._emit_event(RealtimeModelAudioDoneEvent()) + await self._emit_event( + RealtimeModelAudioDoneEvent( + item_id=parsed.item_id, + content_index=parsed.content_index, + ) + ) elif parsed.type == "input_audio_buffer.speech_started": await self._send_interrupt(RealtimeModelSendInterrupt()) elif parsed.type == "response.created": diff --git a/tests/realtime/test_session.py b/tests/realtime/test_session.py index fa17b94a6..855ce279b 100644 --- a/tests/realtime/test_session.py +++ b/tests/realtime/test_session.py @@ -157,15 +157,17 @@ async def test_audio_events_transformation(self, mock_model, mock_agent): session = RealtimeSession(mock_model, mock_agent, None) # Test audio event - audio_event = RealtimeModelAudioEvent(data=b"audio_data", response_id="resp_1") + audio_event = RealtimeModelAudioEvent( + data=b"audio_data", response_id="resp_1", item_id="item_1", content_index=0 + ) await session.on_event(audio_event) # Test audio interrupted event - interrupted_event = RealtimeModelAudioInterruptedEvent() + interrupted_event = RealtimeModelAudioInterruptedEvent(item_id="item_1", content_index=0) await session.on_event(interrupted_event) # Test audio done event - done_event = RealtimeModelAudioDoneEvent() + done_event = RealtimeModelAudioDoneEvent(item_id="item_1", content_index=0) await session.on_event(done_event) # Should have 6 events total (2 per event: raw + transformed) From 5eab34852f19e905561b14e97533a65f167a2d87 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Thu, 24 Jul 2025 11:42:07 -0400 Subject: [PATCH 279/337] Realtime: send audio item/content index --- src/agents/realtime/events.py | 18 ++++++++++++++++++ src/agents/realtime/model_events.py | 18 ++++++++++++++++++ src/agents/realtime/openai_realtime.py | 21 ++++++++++++++++++--- src/agents/realtime/session.py | 21 ++++++++++++++++++--- tests/realtime/test_session.py | 8 +++++--- 5 files changed, 77 insertions(+), 9 deletions(-) diff --git a/src/agents/realtime/events.py b/src/agents/realtime/events.py index 24444b66e..93248b611 100644 --- a/src/agents/realtime/events.py +++ b/src/agents/realtime/events.py @@ -115,6 +115,12 @@ class RealtimeAudioEnd: info: RealtimeEventInfo """Common info for all events, such as the context.""" + item_id: str + """The ID of the item containing audio.""" + + content_index: int + """The index of the audio content in `item.content`""" + type: Literal["audio_end"] = "audio_end" @@ -125,6 +131,12 @@ class RealtimeAudio: audio: RealtimeModelAudioEvent """The audio event from the model layer.""" + item_id: str + """The ID of the item containing audio.""" + + content_index: int + """The index of the audio content in `item.content`""" + info: RealtimeEventInfo """Common info for all events, such as the context.""" @@ -140,6 +152,12 @@ class RealtimeAudioInterrupted: info: RealtimeEventInfo """Common info for all events, such as the context.""" + item_id: str + """The ID of the item containing audio.""" + + content_index: int + """The index of the audio content in `item.content`""" + type: Literal["audio_interrupted"] = "audio_interrupted" diff --git a/src/agents/realtime/model_events.py b/src/agents/realtime/model_events.py index 3a158ef4e..43b0dd025 100644 --- a/src/agents/realtime/model_events.py +++ b/src/agents/realtime/model_events.py @@ -40,6 +40,12 @@ class RealtimeModelAudioEvent: data: bytes response_id: str + item_id: str + """The ID of the item containing audio.""" + + content_index: int + """The index of the audio content in `item.content`""" + type: Literal["audio"] = "audio" @@ -47,6 +53,12 @@ class RealtimeModelAudioEvent: class RealtimeModelAudioInterruptedEvent: """Audio interrupted.""" + item_id: str + """The ID of the item containing audio.""" + + content_index: int + """The index of the audio content in `item.content`""" + type: Literal["audio_interrupted"] = "audio_interrupted" @@ -54,6 +66,12 @@ class RealtimeModelAudioInterruptedEvent: class RealtimeModelAudioDoneEvent: """Audio done.""" + item_id: str + """The ID of the item containing audio.""" + + content_index: int + """The index of the audio content in `item.content`""" + type: Literal["audio_done"] = "audio_done" diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index e03d56f4b..ab9408dfe 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -302,7 +302,12 @@ async def _send_interrupt(self, event: RealtimeModelSendInterrupt) -> None: elapsed_time_ms = (datetime.now() - self._audio_start_time).total_seconds() * 1000 if elapsed_time_ms > 0 and elapsed_time_ms < self._audio_length_ms: - await self._emit_event(RealtimeModelAudioInterruptedEvent()) + await self._emit_event( + RealtimeModelAudioInterruptedEvent( + item_id=self._current_item_id, + content_index=self._current_audio_content_index or 0, + ) + ) converted = _ConversionHelper.convert_interrupt( self._current_item_id, self._current_audio_content_index or 0, @@ -331,7 +336,12 @@ async def _handle_audio_delta(self, parsed: ResponseAudioDeltaEvent) -> None: # Calculate audio length in ms using 24KHz pcm16le self._audio_length_ms += self._calculate_audio_length_ms(audio_bytes) await self._emit_event( - RealtimeModelAudioEvent(data=audio_bytes, response_id=parsed.response_id) + RealtimeModelAudioEvent( + data=audio_bytes, + response_id=parsed.response_id, + item_id=parsed.item_id, + content_index=parsed.content_index, + ) ) def _calculate_audio_length_ms(self, audio_bytes: bytes) -> float: @@ -429,7 +439,12 @@ async def _handle_ws_event(self, event: dict[str, Any]): if parsed.type == "response.audio.delta": await self._handle_audio_delta(parsed) elif parsed.type == "response.audio.done": - await self._emit_event(RealtimeModelAudioDoneEvent()) + await self._emit_event( + RealtimeModelAudioDoneEvent( + item_id=parsed.item_id, + content_index=parsed.content_index, + ) + ) elif parsed.type == "input_audio_buffer.speech_started": await self._send_interrupt(RealtimeModelSendInterrupt()) elif parsed.type == "response.created": diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index 11e4447f2..d5d4d8046 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -188,11 +188,26 @@ async def on_event(self, event: RealtimeModelEvent) -> None: elif event.type == "function_call": await self._handle_tool_call(event) elif event.type == "audio": - await self._put_event(RealtimeAudio(info=self._event_info, audio=event)) + await self._put_event( + RealtimeAudio( + info=self._event_info, + audio=event, + item_id=event.item_id, + content_index=event.content_index, + ) + ) elif event.type == "audio_interrupted": - await self._put_event(RealtimeAudioInterrupted(info=self._event_info)) + await self._put_event( + RealtimeAudioInterrupted( + info=self._event_info, item_id=event.item_id, content_index=event.content_index + ) + ) elif event.type == "audio_done": - await self._put_event(RealtimeAudioEnd(info=self._event_info)) + await self._put_event( + RealtimeAudioEnd( + info=self._event_info, item_id=event.item_id, content_index=event.content_index + ) + ) elif event.type == "input_audio_transcription_completed": self._history = RealtimeSession._get_new_history(self._history, event) await self._put_event( diff --git a/tests/realtime/test_session.py b/tests/realtime/test_session.py index fa17b94a6..855ce279b 100644 --- a/tests/realtime/test_session.py +++ b/tests/realtime/test_session.py @@ -157,15 +157,17 @@ async def test_audio_events_transformation(self, mock_model, mock_agent): session = RealtimeSession(mock_model, mock_agent, None) # Test audio event - audio_event = RealtimeModelAudioEvent(data=b"audio_data", response_id="resp_1") + audio_event = RealtimeModelAudioEvent( + data=b"audio_data", response_id="resp_1", item_id="item_1", content_index=0 + ) await session.on_event(audio_event) # Test audio interrupted event - interrupted_event = RealtimeModelAudioInterruptedEvent() + interrupted_event = RealtimeModelAudioInterruptedEvent(item_id="item_1", content_index=0) await session.on_event(interrupted_event) # Test audio done event - done_event = RealtimeModelAudioDoneEvent() + done_event = RealtimeModelAudioDoneEvent(item_id="item_1", content_index=0) await session.on_event(done_event) # Should have 6 events total (2 per event: raw + transformed) From 9e1f699ede18c55c37b42133ae002e96247a6725 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Thu, 24 Jul 2025 21:29:40 -0400 Subject: [PATCH 280/337] Realtime: enable a playback tracker --- src/agents/realtime/__init__.py | 4 + src/agents/realtime/_default_tracker.py | 45 ++++++++++ src/agents/realtime/_util.py | 7 ++ src/agents/realtime/model.py | 94 ++++++++++++++++++++ src/agents/realtime/openai_realtime.py | 85 ++++++++++++------ tests/realtime/test_openai_realtime.py | 83 +++++++++++------- tests/realtime/test_playback_tracker.py | 112 ++++++++++++++++++++++++ 7 files changed, 371 insertions(+), 59 deletions(-) create mode 100644 src/agents/realtime/_default_tracker.py create mode 100644 src/agents/realtime/_util.py create mode 100644 tests/realtime/test_playback_tracker.py diff --git a/src/agents/realtime/__init__.py b/src/agents/realtime/__init__.py index 49c131389..7675c466f 100644 --- a/src/agents/realtime/__init__.py +++ b/src/agents/realtime/__init__.py @@ -47,6 +47,8 @@ RealtimeModel, RealtimeModelConfig, RealtimeModelListener, + RealtimePlaybackState, + RealtimePlaybackTracker, ) from .model_events import ( RealtimeConnectionStatus, @@ -139,6 +141,8 @@ "RealtimeModel", "RealtimeModelConfig", "RealtimeModelListener", + "RealtimePlaybackTracker", + "RealtimePlaybackState", # Model Events "RealtimeConnectionStatus", "RealtimeModelAudioDoneEvent", diff --git a/src/agents/realtime/_default_tracker.py b/src/agents/realtime/_default_tracker.py new file mode 100644 index 000000000..ece485efd --- /dev/null +++ b/src/agents/realtime/_default_tracker.py @@ -0,0 +1,45 @@ +from dataclasses import dataclass +from datetime import datetime + +from ._util import calculate_audio_length_ms +from .config import RealtimeAudioFormat + + +@dataclass +class ModelAudioState: + initial_received_time: datetime + audio_length_ms: float + + +class ModelAudioTracker: + def __init__(self) -> None: + # (item_id, item_content_index) -> ModelAudioState + self._states: dict[tuple[str, int], ModelAudioState] = {} + self._last_audio_item: tuple[str, int] | None = None + + def set_audio_format(self, format: RealtimeAudioFormat) -> None: + """Called when the model wants to set the audio format.""" + self._format = format + + def on_audio_delta(self, item_id: str, item_content_index: int, bytes: bytes) -> None: + """Called when an audio delta is received from the model.""" + ms = calculate_audio_length_ms(self._format, bytes) + new_key = (item_id, item_content_index) + + self._last_audio_item = new_key + if new_key not in self._states: + self._states[new_key] = ModelAudioState(datetime.now(), ms) + else: + self._states[new_key].audio_length_ms += ms + + def on_interrupted(self) -> None: + """Called when the audio playback has been interrupted.""" + self._last_audio_item = None + + def get_state(self, item_id: str, item_content_index: int) -> ModelAudioState | None: + """Called when the model wants to get the current playback state.""" + return self._states.get((item_id, item_content_index)) + + def get_last_audio_item(self) -> tuple[str, int] | None: + """Called when the model wants to get the last audio item ID and content index.""" + return self._last_audio_item diff --git a/src/agents/realtime/_util.py b/src/agents/realtime/_util.py new file mode 100644 index 000000000..9a67a452e --- /dev/null +++ b/src/agents/realtime/_util.py @@ -0,0 +1,7 @@ +from .config import RealtimeAudioFormat + + +def calculate_audio_length_ms(format: RealtimeAudioFormat | None, bytes: bytes) -> float: + if format and format.startswith("g711"): + return (len(bytes) / 8000) * 1000 + return (len(bytes) / 24 / 2) * 1000 diff --git a/src/agents/realtime/model.py b/src/agents/realtime/model.py index e279ecc95..d7ebe4ffa 100644 --- a/src/agents/realtime/model.py +++ b/src/agents/realtime/model.py @@ -6,13 +6,95 @@ from typing_extensions import NotRequired, TypedDict from ..util._types import MaybeAwaitable +from ._util import calculate_audio_length_ms from .config import ( + RealtimeAudioFormat, RealtimeSessionModelSettings, ) from .model_events import RealtimeModelEvent from .model_inputs import RealtimeModelSendEvent +class RealtimePlaybackState(TypedDict): + current_item_id: str | None + """The item ID of the current item being played.""" + + current_item_content_index: int | None + """The index of the current item content being played.""" + + elapsed_ms: float | None + """The number of milliseconds of audio that have been played.""" + + +class RealtimePlaybackTracker: + """If you have custom playback logic or expect that audio is played with delays or at different + speeds, create an instance of RealtimePlaybackTracker and pass it to the session. You are + responsible for tracking the audio playback progress and calling `on_play_bytes` or + `on_play_ms` when the user has played some audio.""" + + def __init__(self) -> None: + self._format: RealtimeAudioFormat | None = None + # (item_id, item_content_index) + self._current_item: tuple[str, int] | None = None + self._elapsed_ms: float | None = None + + def on_play_bytes(self, item_id: str, item_content_index: int, bytes: bytes) -> None: + """Called by you when you have played some audio. + + Args: + item_id: The item ID of the audio being played. + item_content_index: The index of the audio content in `item.content` + bytes: The audio bytes that have been fully played. + """ + ms = calculate_audio_length_ms(self._format, bytes) + self.on_play_ms(item_id, item_content_index, ms) + + def on_play_ms(self, item_id: str, item_content_index: int, ms: float) -> None: + """Called by you when you have played some audio. + + Args: + item_id: The item ID of the audio being played. + item_content_index: The index of the audio content in `item.content` + ms: The number of milliseconds of audio that have been played. + """ + if self._current_item != (item_id, item_content_index): + self._current_item = (item_id, item_content_index) + self._elapsed_ms = ms + else: + assert self._elapsed_ms is not None + self._elapsed_ms += ms + + def on_interrupted(self) -> None: + """Called by the model when the audio playback has been interrupted.""" + self._current_item = None + self._elapsed_ms = None + + def set_audio_format(self, format: RealtimeAudioFormat) -> None: + """Will be called by the model to set the audio format. + + Args: + format: The audio format to use. + """ + self._format = format + + def get_state(self) -> RealtimePlaybackState: + """Will be called by the model to get the current playback state.""" + if self._current_item is None: + return { + "current_item_id": None, + "current_item_content_index": None, + "elapsed_ms": None, + } + assert self._elapsed_ms is not None + + item_id, item_content_index = self._current_item + return { + "current_item_id": item_id, + "current_item_content_index": item_content_index, + "elapsed_ms": self._elapsed_ms, + } + + class RealtimeModelListener(abc.ABC): """A listener for realtime transport events.""" @@ -39,6 +121,18 @@ class RealtimeModelConfig(TypedDict): initial_model_settings: NotRequired[RealtimeSessionModelSettings] """The initial model settings to use when connecting.""" + playback_tracker: NotRequired[RealtimePlaybackTracker] + """The playback tracker to use when tracking audio playback progress. If not set, the model will + use a default implementation that assumes audio is played immediately, at realtime speed. + + A playback tracker is useful for interruptions. The model generates audio much faster than + realtime playback speed. So if there's an interruption, its useful for the model to know how + much of the audio has been played by the user. In low-latency scenarios, it's fine to assume + that audio is played back immediately at realtime speed. But in scenarios like phone calls or + other remote interactions, you can set a playback tracker that lets the model know when audio + is played to the user. + """ + class RealtimeModel(abc.ABC): """Interface for connecting to a realtime model and sending/receiving events.""" diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index ab9408dfe..110676276 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -57,6 +57,7 @@ from websockets.asyncio.client import ClientConnection from agents.handoffs import Handoff +from agents.realtime._default_tracker import ModelAudioTracker from agents.tool import FunctionTool, Tool from agents.util._types import MaybeAwaitable @@ -72,6 +73,8 @@ RealtimeModel, RealtimeModelConfig, RealtimeModelListener, + RealtimePlaybackState, + RealtimePlaybackTracker, ) from .model_events import ( RealtimeModelAudioDoneEvent, @@ -133,11 +136,10 @@ def __init__(self) -> None: self._websocket_task: asyncio.Task[None] | None = None self._listeners: list[RealtimeModelListener] = [] self._current_item_id: str | None = None - self._audio_start_time: datetime | None = None - self._audio_length_ms: float = 0.0 + self._audio_state_tracker: ModelAudioTracker = ModelAudioTracker() self._ongoing_response: bool = False - self._current_audio_content_index: int | None = None self._tracing_config: RealtimeModelTracingConfig | Literal["auto"] | None = None + self._playback_tracker: RealtimePlaybackTracker | None = None async def connect(self, options: RealtimeModelConfig) -> None: """Establish a connection to the model and keep it alive.""" @@ -146,6 +148,8 @@ async def connect(self, options: RealtimeModelConfig) -> None: model_settings: RealtimeSessionModelSettings = options.get("initial_model_settings", {}) + self._playback_tracker = options.get("playback_tracker", RealtimePlaybackTracker()) + self.model = model_settings.get("model_name", self.model) api_key = await get_api_key(options.get("api_key")) @@ -294,31 +298,65 @@ async def _send_tool_output(self, event: RealtimeModelSendToolOutput) -> None: if event.start_response: await self._send_raw_message(OpenAIResponseCreateEvent(type="response.create")) + def _get_playback_state(self) -> RealtimePlaybackState: + if self._playback_tracker: + return self._playback_tracker.get_state() + + if last_audio_item_id := self._audio_state_tracker.get_last_audio_item(): + item_id, item_content_index = last_audio_item_id + audio_state = self._audio_state_tracker.get_state(item_id, item_content_index) + if audio_state: + elapsed_ms = ( + datetime.now() - audio_state.initial_received_time + ).total_seconds() * 1000 + return { + "current_item_id": item_id, + "current_item_content_index": item_content_index, + "elapsed_ms": elapsed_ms, + } + + return { + "current_item_id": None, + "current_item_content_index": None, + "elapsed_ms": None, + } + async def _send_interrupt(self, event: RealtimeModelSendInterrupt) -> None: - if not self._current_item_id or not self._audio_start_time: + playback_state = self._get_playback_state() + print(f"zzz playback_state: {playback_state}") + current_item_id = playback_state.get("current_item_id") + current_item_content_index = playback_state.get("current_item_content_index") + elapsed_ms = playback_state.get("elapsed_ms") + if current_item_id is None or elapsed_ms is None: + print("zzz skipping interrupt") + logger.info( + "Skipping interrupt. " + f"Item id: {current_item_id}, " + f"elapsed ms: {elapsed_ms}, " + f"content index: {current_item_content_index}" + ) return - await self._cancel_response() - - elapsed_time_ms = (datetime.now() - self._audio_start_time).total_seconds() * 1000 - if elapsed_time_ms > 0 and elapsed_time_ms < self._audio_length_ms: + current_item_content_index = current_item_content_index or 0 + if elapsed_ms > 0: + print("zzz sending interrupt") await self._emit_event( RealtimeModelAudioInterruptedEvent( - item_id=self._current_item_id, - content_index=self._current_audio_content_index or 0, + item_id=current_item_id, + content_index=current_item_content_index, ) ) converted = _ConversionHelper.convert_interrupt( - self._current_item_id, - self._current_audio_content_index or 0, - int(elapsed_time_ms), + current_item_id, + current_item_content_index, + int(elapsed_ms), ) await self._send_raw_message(converted) + await self._cancel_response() - self._current_item_id = None - self._audio_start_time = None - self._audio_length_ms = 0.0 - self._current_audio_content_index = None + self._audio_state_tracker.on_interrupted() + if self._playback_tracker: + self._playback_tracker.on_interrupted() async def _send_session_update(self, event: RealtimeModelSendSessionUpdate) -> None: """Send a session update to the model.""" @@ -326,15 +364,12 @@ async def _send_session_update(self, event: RealtimeModelSendSessionUpdate) -> N async def _handle_audio_delta(self, parsed: ResponseAudioDeltaEvent) -> None: """Handle audio delta events and update audio tracking state.""" - self._current_audio_content_index = parsed.content_index self._current_item_id = parsed.item_id - if self._audio_start_time is None: - self._audio_start_time = datetime.now() - self._audio_length_ms = 0.0 audio_bytes = base64.b64decode(parsed.delta) - # Calculate audio length in ms using 24KHz pcm16le - self._audio_length_ms += self._calculate_audio_length_ms(audio_bytes) + + self._audio_state_tracker.on_audio_delta(parsed.item_id, parsed.content_index, audio_bytes) + await self._emit_event( RealtimeModelAudioEvent( data=audio_bytes, @@ -344,10 +379,6 @@ async def _handle_audio_delta(self, parsed: ResponseAudioDeltaEvent) -> None: ) ) - def _calculate_audio_length_ms(self, audio_bytes: bytes) -> float: - """Calculate audio length in milliseconds for 24KHz PCM16LE format.""" - return len(audio_bytes) / 24 / 2 - async def _handle_output_item(self, item: ConversationItem) -> None: """Handle response output item events (function calls and messages).""" if item.type == "function_call" and item.status == "completed": diff --git a/tests/realtime/test_openai_realtime.py b/tests/realtime/test_openai_realtime.py index 5cb0eb0fa..704d95d40 100644 --- a/tests/realtime/test_openai_realtime.py +++ b/tests/realtime/test_openai_realtime.py @@ -1,4 +1,3 @@ -from datetime import datetime from typing import Any from unittest.mock import AsyncMock, Mock, patch @@ -226,6 +225,9 @@ async def test_handle_audio_delta_event_success(self, model): mock_listener = AsyncMock() model.add_listener(mock_listener) + # Set up audio format on the tracker before testing + model._audio_state_tracker.set_audio_format("pcm16") + # Valid audio delta event (minimal required fields for OpenAI spec) audio_event = { "type": "response.audio.delta", @@ -237,23 +239,22 @@ async def test_handle_audio_delta_event_success(self, model): "delta": "dGVzdCBhdWRpbw==", # base64 encoded "test audio" } - with patch("agents.realtime.openai_realtime.datetime") as mock_datetime: - mock_now = datetime(2024, 1, 1, 12, 0, 0) - mock_datetime.now.return_value = mock_now + await model._handle_ws_event(audio_event) - await model._handle_ws_event(audio_event) + # Should emit audio event to listeners + mock_listener.on_event.assert_called_once() + emitted_event = mock_listener.on_event.call_args[0][0] + assert isinstance(emitted_event, RealtimeModelAudioEvent) + assert emitted_event.response_id == "resp_123" + assert emitted_event.data == b"test audio" # decoded from base64 - # Should emit audio event to listeners - mock_listener.on_event.assert_called_once() - emitted_event = mock_listener.on_event.call_args[0][0] - assert isinstance(emitted_event, RealtimeModelAudioEvent) - assert emitted_event.response_id == "resp_123" - assert emitted_event.data == b"test audio" # decoded from base64 + # Should update internal audio tracking state + assert model._current_item_id == "item_456" - # Should update internal audio tracking state - assert model._current_item_id == "item_456" - assert model._current_audio_content_index == 0 - assert model._audio_start_time == mock_now + # Test that audio state is tracked in the tracker + audio_state = model._audio_state_tracker.get_state("item_456", 0) + assert audio_state is not None + assert audio_state.audio_length_ms > 0 # Should have some audio length @pytest.mark.asyncio async def test_handle_error_event_success(self, model): @@ -319,6 +320,9 @@ async def test_audio_timing_calculation_accuracy(self, model): mock_listener = AsyncMock() model.add_listener(mock_listener) + # Set up audio format on the tracker before testing + model._audio_state_tracker.set_audio_format("pcm16") + # Send multiple audio deltas to test cumulative timing audio_deltas = [ { @@ -344,21 +348,34 @@ async def test_audio_timing_calculation_accuracy(self, model): for event in audio_deltas: await model._handle_ws_event(event) - # Should accumulate audio length: 8 bytes / 24 / 2 = ~0.167ms per byte - # Total: 8 bytes / 24 / 2 = 0.167ms - expected_length = 8 / 24 / 2 - assert abs(model._audio_length_ms - expected_length) < 0.001 + # Should accumulate audio length: 8 bytes / 24 / 2 * 1000 = milliseconds + # Total: 8 bytes / 24 / 2 * 1000 + expected_length = (8 / 24 / 2) * 1000 + + # Test through the actual audio state tracker + audio_state = model._audio_state_tracker.get_state("item_1", 0) + assert audio_state is not None + assert abs(audio_state.audio_length_ms - expected_length) < 0.001 def test_calculate_audio_length_ms_pure_function(self, model): """Test the pure audio length calculation function.""" - # Test various audio buffer sizes - assert model._calculate_audio_length_ms(b"test") == 4 / 24 / 2 # 4 bytes - assert model._calculate_audio_length_ms(b"") == 0 # empty - assert model._calculate_audio_length_ms(b"a" * 48) == 1.0 # exactly 1ms worth + from agents.realtime._util import calculate_audio_length_ms + + # Test various audio buffer sizes for pcm16 format + assert calculate_audio_length_ms("pcm16", b"test") == (4 / 24 / 2) * 1000 # 4 bytes + assert calculate_audio_length_ms("pcm16", b"") == 0 # empty + assert calculate_audio_length_ms("pcm16", b"a" * 48) == 1000.0 # exactly 1000ms worth + + # Test g711 format + assert calculate_audio_length_ms("g711_ulaw", b"test") == (4 / 8000) * 1000 # 4 bytes + assert calculate_audio_length_ms("g711_alaw", b"a" * 8) == (8 / 8000) * 1000 # 8 bytes @pytest.mark.asyncio async def test_handle_audio_delta_state_management(self, model): """Test that _handle_audio_delta properly manages internal state.""" + # Set up audio format on the tracker before testing + model._audio_state_tracker.set_audio_format("pcm16") + # Create mock parsed event mock_parsed = Mock() mock_parsed.content_index = 5 @@ -366,14 +383,16 @@ async def test_handle_audio_delta_state_management(self, model): mock_parsed.delta = "dGVzdA==" # "test" in base64 mock_parsed.response_id = "resp_123" - with patch("agents.realtime.openai_realtime.datetime") as mock_datetime: - mock_now = datetime(2024, 1, 1, 12, 0, 0) - mock_datetime.now.return_value = mock_now + await model._handle_audio_delta(mock_parsed) + + # Check state was updated correctly + assert model._current_item_id == "test_item" - await model._handle_audio_delta(mock_parsed) + # Test that audio state is tracked correctly + audio_state = model._audio_state_tracker.get_state("test_item", 5) + assert audio_state is not None + assert audio_state.audio_length_ms == (4 / 24 / 2) * 1000 # 4 bytes in milliseconds - # Check state was updated correctly - assert model._current_audio_content_index == 5 - assert model._current_item_id == "test_item" - assert model._audio_start_time == mock_now - assert model._audio_length_ms == 4 / 24 / 2 # 4 bytes + # Test that last audio item is tracked + last_item = model._audio_state_tracker.get_last_audio_item() + assert last_item == ("test_item", 5) diff --git a/tests/realtime/test_playback_tracker.py b/tests/realtime/test_playback_tracker.py new file mode 100644 index 000000000..c0bfba468 --- /dev/null +++ b/tests/realtime/test_playback_tracker.py @@ -0,0 +1,112 @@ +from unittest.mock import AsyncMock + +import pytest + +from agents.realtime._default_tracker import ModelAudioTracker +from agents.realtime.model import RealtimePlaybackTracker +from agents.realtime.model_inputs import RealtimeModelSendInterrupt +from agents.realtime.openai_realtime import OpenAIRealtimeWebSocketModel + + +class TestPlaybackTracker: + """Test playback tracker functionality for interrupt timing.""" + + @pytest.fixture + def model(self): + """Create a fresh model instance for each test.""" + return OpenAIRealtimeWebSocketModel() + + @pytest.mark.asyncio + async def test_interrupt_timing_with_custom_playback_tracker(self, model): + """Test interrupt uses custom playback tracker elapsed time instead of default timing.""" + + # Create custom tracker and set elapsed time + custom_tracker = RealtimePlaybackTracker() + custom_tracker.set_audio_format("pcm16") + custom_tracker.on_play_ms("item_1", 1, 500.0) # content_index 1, 500ms played + + # Set up model with custom tracker directly + model._playback_tracker = custom_tracker + + # Mock send_raw_message to capture interrupt + model._send_raw_message = AsyncMock() + + # Send interrupt + + await model._send_interrupt(RealtimeModelSendInterrupt()) + + # Should use custom tracker's 500ms elapsed time + model._send_raw_message.assert_called_once() + call_args = model._send_raw_message.call_args[0][0] + assert call_args.audio_end_ms == 500 + + @pytest.mark.asyncio + async def test_interrupt_skipped_when_no_audio_playing(self, model): + """Test interrupt returns early when no audio is currently playing.""" + model._send_raw_message = AsyncMock() + + # No audio playing (default state) + + await model._send_interrupt(RealtimeModelSendInterrupt()) + + # Should not send any interrupt message + model._send_raw_message.assert_not_called() + + def test_audio_state_accumulation_across_deltas(self): + """Test ModelAudioTracker accumulates audio length across multiple deltas.""" + + tracker = ModelAudioTracker() + tracker.set_audio_format("pcm16") + + # Send multiple deltas for same item + tracker.on_audio_delta("item_1", 0, b"test") # 4 bytes + tracker.on_audio_delta("item_1", 0, b"more") # 4 bytes + + state = tracker.get_state("item_1", 0) + assert state is not None + # Should accumulate: 8 bytes / 24 / 2 * 1000 = 166.67ms + expected_length = (8 / 24 / 2) * 1000 + assert abs(state.audio_length_ms - expected_length) < 0.01 + + def test_state_cleanup_on_interruption(self): + """Test both trackers properly reset state on interruption.""" + + # Test ModelAudioTracker cleanup + model_tracker = ModelAudioTracker() + model_tracker.set_audio_format("pcm16") + model_tracker.on_audio_delta("item_1", 0, b"test") + assert model_tracker.get_last_audio_item() == ("item_1", 0) + + model_tracker.on_interrupted() + assert model_tracker.get_last_audio_item() is None + + # Test RealtimePlaybackTracker cleanup + playback_tracker = RealtimePlaybackTracker() + playback_tracker.on_play_ms("item_1", 0, 100.0) + + state = playback_tracker.get_state() + assert state["current_item_id"] == "item_1" + assert state["elapsed_ms"] == 100.0 + + playback_tracker.on_interrupted() + state = playback_tracker.get_state() + assert state["current_item_id"] is None + assert state["elapsed_ms"] is None + + def test_audio_length_calculation_with_different_formats(self): + """Test calculate_audio_length_ms handles g711 and PCM formats correctly.""" + from agents.realtime._util import calculate_audio_length_ms + + # Test g711 format (8kHz) + g711_bytes = b"12345678" # 8 bytes + g711_length = calculate_audio_length_ms("g711_ulaw", g711_bytes) + assert g711_length == 1 # (8 / 8000) * 1000 + + # Test PCM format (24kHz, default) + pcm_bytes = b"test" # 4 bytes + pcm_length = calculate_audio_length_ms("pcm16", pcm_bytes) + assert pcm_length == (4 / 24 / 2) * 1000 # ~83.33ms + + # Test None format (defaults to PCM) + none_length = calculate_audio_length_ms(None, pcm_bytes) + assert none_length == pcm_length From 9eb5fdc0beb7a1e49f170582e46890b18c203f96 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Thu, 24 Jul 2025 13:43:27 -0400 Subject: [PATCH 281/337] Realtime: only cancel response if necessary --- src/agents/realtime/openai_realtime.py | 20 +++++++++++++++++++- 1 file changed, 19 insertions(+), 1 deletion(-) diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 110676276..8a9f20dd6 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -140,6 +140,7 @@ def __init__(self) -> None: self._ongoing_response: bool = False self._tracing_config: RealtimeModelTracingConfig | Literal["auto"] | None = None self._playback_tracker: RealtimePlaybackTracker | None = None + self._created_session: OpenAISessionObject | None = None async def connect(self, options: RealtimeModelConfig) -> None: """Establish a connection to the model and keep it alive.""" @@ -352,7 +353,14 @@ async def _send_interrupt(self, event: RealtimeModelSendInterrupt) -> None: int(elapsed_ms), ) await self._send_raw_message(converted) - await self._cancel_response() + + automatic_response_cancellation_enabled = ( + self._created_session + and self._created_session.turn_detection + and self._created_session.turn_detection.interrupt_response + ) + if not automatic_response_cancellation_enabled: + await self._cancel_response() self._audio_state_tracker.on_interrupted() if self._playback_tracker: @@ -486,6 +494,9 @@ async def _handle_ws_event(self, event: dict[str, Any]): await self._emit_event(RealtimeModelTurnEndedEvent()) elif parsed.type == "session.created": await self._send_tracing_config(self._tracing_config) + self._update_created_session(parsed.session) # type: ignore + elif parsed.type == "session.updated": + self._update_created_session(parsed.session) # type: ignore elif parsed.type == "error": await self._emit_event(RealtimeModelErrorEvent(error=parsed.error)) elif parsed.type == "conversation.item.deleted": @@ -535,6 +546,13 @@ async def _handle_ws_event(self, event: dict[str, Any]): ): await self._handle_output_item(parsed.item) + def _update_created_session(self, session: OpenAISessionObject) -> None: + self._created_session = session + if session.output_audio_format: + self._audio_state_tracker.set_audio_format(session.output_audio_format) + if self._playback_tracker: + self._playback_tracker.set_audio_format(session.output_audio_format) + async def _update_session_config(self, model_settings: RealtimeSessionModelSettings) -> None: session_config = self._get_session_config(model_settings) await self._send_raw_message( From 5f09130225a69b6adc061a2c5b6ff619f5f3e034 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Thu, 24 Jul 2025 21:29:40 -0400 Subject: [PATCH 282/337] Realtime: enable a playback tracker --- src/agents/realtime/__init__.py | 4 + src/agents/realtime/_default_tracker.py | 45 ++++++++++ src/agents/realtime/_util.py | 7 ++ src/agents/realtime/model.py | 94 ++++++++++++++++++++ src/agents/realtime/openai_realtime.py | 82 +++++++++++------ tests/realtime/test_openai_realtime.py | 83 +++++++++++------- tests/realtime/test_playback_tracker.py | 112 ++++++++++++++++++++++++ 7 files changed, 368 insertions(+), 59 deletions(-) create mode 100644 src/agents/realtime/_default_tracker.py create mode 100644 src/agents/realtime/_util.py create mode 100644 tests/realtime/test_playback_tracker.py diff --git a/src/agents/realtime/__init__.py b/src/agents/realtime/__init__.py index 49c131389..7675c466f 100644 --- a/src/agents/realtime/__init__.py +++ b/src/agents/realtime/__init__.py @@ -47,6 +47,8 @@ RealtimeModel, RealtimeModelConfig, RealtimeModelListener, + RealtimePlaybackState, + RealtimePlaybackTracker, ) from .model_events import ( RealtimeConnectionStatus, @@ -139,6 +141,8 @@ "RealtimeModel", "RealtimeModelConfig", "RealtimeModelListener", + "RealtimePlaybackTracker", + "RealtimePlaybackState", # Model Events "RealtimeConnectionStatus", "RealtimeModelAudioDoneEvent", diff --git a/src/agents/realtime/_default_tracker.py b/src/agents/realtime/_default_tracker.py new file mode 100644 index 000000000..ece485efd --- /dev/null +++ b/src/agents/realtime/_default_tracker.py @@ -0,0 +1,45 @@ +from dataclasses import dataclass +from datetime import datetime + +from ._util import calculate_audio_length_ms +from .config import RealtimeAudioFormat + + +@dataclass +class ModelAudioState: + initial_received_time: datetime + audio_length_ms: float + + +class ModelAudioTracker: + def __init__(self) -> None: + # (item_id, item_content_index) -> ModelAudioState + self._states: dict[tuple[str, int], ModelAudioState] = {} + self._last_audio_item: tuple[str, int] | None = None + + def set_audio_format(self, format: RealtimeAudioFormat) -> None: + """Called when the model wants to set the audio format.""" + self._format = format + + def on_audio_delta(self, item_id: str, item_content_index: int, bytes: bytes) -> None: + """Called when an audio delta is received from the model.""" + ms = calculate_audio_length_ms(self._format, bytes) + new_key = (item_id, item_content_index) + + self._last_audio_item = new_key + if new_key not in self._states: + self._states[new_key] = ModelAudioState(datetime.now(), ms) + else: + self._states[new_key].audio_length_ms += ms + + def on_interrupted(self) -> None: + """Called when the audio playback has been interrupted.""" + self._last_audio_item = None + + def get_state(self, item_id: str, item_content_index: int) -> ModelAudioState | None: + """Called when the model wants to get the current playback state.""" + return self._states.get((item_id, item_content_index)) + + def get_last_audio_item(self) -> tuple[str, int] | None: + """Called when the model wants to get the last audio item ID and content index.""" + return self._last_audio_item diff --git a/src/agents/realtime/_util.py b/src/agents/realtime/_util.py new file mode 100644 index 000000000..9a67a452e --- /dev/null +++ b/src/agents/realtime/_util.py @@ -0,0 +1,7 @@ +from .config import RealtimeAudioFormat + + +def calculate_audio_length_ms(format: RealtimeAudioFormat | None, bytes: bytes) -> float: + if format and format.startswith("g711"): + return (len(bytes) / 8000) * 1000 + return (len(bytes) / 24 / 2) * 1000 diff --git a/src/agents/realtime/model.py b/src/agents/realtime/model.py index e279ecc95..d7ebe4ffa 100644 --- a/src/agents/realtime/model.py +++ b/src/agents/realtime/model.py @@ -6,13 +6,95 @@ from typing_extensions import NotRequired, TypedDict from ..util._types import MaybeAwaitable +from ._util import calculate_audio_length_ms from .config import ( + RealtimeAudioFormat, RealtimeSessionModelSettings, ) from .model_events import RealtimeModelEvent from .model_inputs import RealtimeModelSendEvent +class RealtimePlaybackState(TypedDict): + current_item_id: str | None + """The item ID of the current item being played.""" + + current_item_content_index: int | None + """The index of the current item content being played.""" + + elapsed_ms: float | None + """The number of milliseconds of audio that have been played.""" + + +class RealtimePlaybackTracker: + """If you have custom playback logic or expect that audio is played with delays or at different + speeds, create an instance of RealtimePlaybackTracker and pass it to the session. You are + responsible for tracking the audio playback progress and calling `on_play_bytes` or + `on_play_ms` when the user has played some audio.""" + + def __init__(self) -> None: + self._format: RealtimeAudioFormat | None = None + # (item_id, item_content_index) + self._current_item: tuple[str, int] | None = None + self._elapsed_ms: float | None = None + + def on_play_bytes(self, item_id: str, item_content_index: int, bytes: bytes) -> None: + """Called by you when you have played some audio. + + Args: + item_id: The item ID of the audio being played. + item_content_index: The index of the audio content in `item.content` + bytes: The audio bytes that have been fully played. + """ + ms = calculate_audio_length_ms(self._format, bytes) + self.on_play_ms(item_id, item_content_index, ms) + + def on_play_ms(self, item_id: str, item_content_index: int, ms: float) -> None: + """Called by you when you have played some audio. + + Args: + item_id: The item ID of the audio being played. + item_content_index: The index of the audio content in `item.content` + ms: The number of milliseconds of audio that have been played. + """ + if self._current_item != (item_id, item_content_index): + self._current_item = (item_id, item_content_index) + self._elapsed_ms = ms + else: + assert self._elapsed_ms is not None + self._elapsed_ms += ms + + def on_interrupted(self) -> None: + """Called by the model when the audio playback has been interrupted.""" + self._current_item = None + self._elapsed_ms = None + + def set_audio_format(self, format: RealtimeAudioFormat) -> None: + """Will be called by the model to set the audio format. + + Args: + format: The audio format to use. + """ + self._format = format + + def get_state(self) -> RealtimePlaybackState: + """Will be called by the model to get the current playback state.""" + if self._current_item is None: + return { + "current_item_id": None, + "current_item_content_index": None, + "elapsed_ms": None, + } + assert self._elapsed_ms is not None + + item_id, item_content_index = self._current_item + return { + "current_item_id": item_id, + "current_item_content_index": item_content_index, + "elapsed_ms": self._elapsed_ms, + } + + class RealtimeModelListener(abc.ABC): """A listener for realtime transport events.""" @@ -39,6 +121,18 @@ class RealtimeModelConfig(TypedDict): initial_model_settings: NotRequired[RealtimeSessionModelSettings] """The initial model settings to use when connecting.""" + playback_tracker: NotRequired[RealtimePlaybackTracker] + """The playback tracker to use when tracking audio playback progress. If not set, the model will + use a default implementation that assumes audio is played immediately, at realtime speed. + + A playback tracker is useful for interruptions. The model generates audio much faster than + realtime playback speed. So if there's an interruption, its useful for the model to know how + much of the audio has been played by the user. In low-latency scenarios, it's fine to assume + that audio is played back immediately at realtime speed. But in scenarios like phone calls or + other remote interactions, you can set a playback tracker that lets the model know when audio + is played to the user. + """ + class RealtimeModel(abc.ABC): """Interface for connecting to a realtime model and sending/receiving events.""" diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index ab9408dfe..2e950b0a1 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -57,6 +57,7 @@ from websockets.asyncio.client import ClientConnection from agents.handoffs import Handoff +from agents.realtime._default_tracker import ModelAudioTracker from agents.tool import FunctionTool, Tool from agents.util._types import MaybeAwaitable @@ -72,6 +73,8 @@ RealtimeModel, RealtimeModelConfig, RealtimeModelListener, + RealtimePlaybackState, + RealtimePlaybackTracker, ) from .model_events import ( RealtimeModelAudioDoneEvent, @@ -133,11 +136,10 @@ def __init__(self) -> None: self._websocket_task: asyncio.Task[None] | None = None self._listeners: list[RealtimeModelListener] = [] self._current_item_id: str | None = None - self._audio_start_time: datetime | None = None - self._audio_length_ms: float = 0.0 + self._audio_state_tracker: ModelAudioTracker = ModelAudioTracker() self._ongoing_response: bool = False - self._current_audio_content_index: int | None = None self._tracing_config: RealtimeModelTracingConfig | Literal["auto"] | None = None + self._playback_tracker: RealtimePlaybackTracker | None = None async def connect(self, options: RealtimeModelConfig) -> None: """Establish a connection to the model and keep it alive.""" @@ -146,6 +148,8 @@ async def connect(self, options: RealtimeModelConfig) -> None: model_settings: RealtimeSessionModelSettings = options.get("initial_model_settings", {}) + self._playback_tracker = options.get("playback_tracker", RealtimePlaybackTracker()) + self.model = model_settings.get("model_name", self.model) api_key = await get_api_key(options.get("api_key")) @@ -294,31 +298,62 @@ async def _send_tool_output(self, event: RealtimeModelSendToolOutput) -> None: if event.start_response: await self._send_raw_message(OpenAIResponseCreateEvent(type="response.create")) + def _get_playback_state(self) -> RealtimePlaybackState: + if self._playback_tracker: + return self._playback_tracker.get_state() + + if last_audio_item_id := self._audio_state_tracker.get_last_audio_item(): + item_id, item_content_index = last_audio_item_id + audio_state = self._audio_state_tracker.get_state(item_id, item_content_index) + if audio_state: + elapsed_ms = ( + datetime.now() - audio_state.initial_received_time + ).total_seconds() * 1000 + return { + "current_item_id": item_id, + "current_item_content_index": item_content_index, + "elapsed_ms": elapsed_ms, + } + + return { + "current_item_id": None, + "current_item_content_index": None, + "elapsed_ms": None, + } + async def _send_interrupt(self, event: RealtimeModelSendInterrupt) -> None: - if not self._current_item_id or not self._audio_start_time: + playback_state = self._get_playback_state() + current_item_id = playback_state.get("current_item_id") + current_item_content_index = playback_state.get("current_item_content_index") + elapsed_ms = playback_state.get("elapsed_ms") + if current_item_id is None or elapsed_ms is None: + logger.info( + "Skipping interrupt. " + f"Item id: {current_item_id}, " + f"elapsed ms: {elapsed_ms}, " + f"content index: {current_item_content_index}" + ) return - await self._cancel_response() - - elapsed_time_ms = (datetime.now() - self._audio_start_time).total_seconds() * 1000 - if elapsed_time_ms > 0 and elapsed_time_ms < self._audio_length_ms: + current_item_content_index = current_item_content_index or 0 + if elapsed_ms > 0: await self._emit_event( RealtimeModelAudioInterruptedEvent( - item_id=self._current_item_id, - content_index=self._current_audio_content_index or 0, + item_id=current_item_id, + content_index=current_item_content_index, ) ) converted = _ConversionHelper.convert_interrupt( - self._current_item_id, - self._current_audio_content_index or 0, - int(elapsed_time_ms), + current_item_id, + current_item_content_index, + int(elapsed_ms), ) await self._send_raw_message(converted) + await self._cancel_response() - self._current_item_id = None - self._audio_start_time = None - self._audio_length_ms = 0.0 - self._current_audio_content_index = None + self._audio_state_tracker.on_interrupted() + if self._playback_tracker: + self._playback_tracker.on_interrupted() async def _send_session_update(self, event: RealtimeModelSendSessionUpdate) -> None: """Send a session update to the model.""" @@ -326,15 +361,12 @@ async def _send_session_update(self, event: RealtimeModelSendSessionUpdate) -> N async def _handle_audio_delta(self, parsed: ResponseAudioDeltaEvent) -> None: """Handle audio delta events and update audio tracking state.""" - self._current_audio_content_index = parsed.content_index self._current_item_id = parsed.item_id - if self._audio_start_time is None: - self._audio_start_time = datetime.now() - self._audio_length_ms = 0.0 audio_bytes = base64.b64decode(parsed.delta) - # Calculate audio length in ms using 24KHz pcm16le - self._audio_length_ms += self._calculate_audio_length_ms(audio_bytes) + + self._audio_state_tracker.on_audio_delta(parsed.item_id, parsed.content_index, audio_bytes) + await self._emit_event( RealtimeModelAudioEvent( data=audio_bytes, @@ -344,10 +376,6 @@ async def _handle_audio_delta(self, parsed: ResponseAudioDeltaEvent) -> None: ) ) - def _calculate_audio_length_ms(self, audio_bytes: bytes) -> float: - """Calculate audio length in milliseconds for 24KHz PCM16LE format.""" - return len(audio_bytes) / 24 / 2 - async def _handle_output_item(self, item: ConversationItem) -> None: """Handle response output item events (function calls and messages).""" if item.type == "function_call" and item.status == "completed": diff --git a/tests/realtime/test_openai_realtime.py b/tests/realtime/test_openai_realtime.py index 5cb0eb0fa..704d95d40 100644 --- a/tests/realtime/test_openai_realtime.py +++ b/tests/realtime/test_openai_realtime.py @@ -1,4 +1,3 @@ -from datetime import datetime from typing import Any from unittest.mock import AsyncMock, Mock, patch @@ -226,6 +225,9 @@ async def test_handle_audio_delta_event_success(self, model): mock_listener = AsyncMock() model.add_listener(mock_listener) + # Set up audio format on the tracker before testing + model._audio_state_tracker.set_audio_format("pcm16") + # Valid audio delta event (minimal required fields for OpenAI spec) audio_event = { "type": "response.audio.delta", @@ -237,23 +239,22 @@ async def test_handle_audio_delta_event_success(self, model): "delta": "dGVzdCBhdWRpbw==", # base64 encoded "test audio" } - with patch("agents.realtime.openai_realtime.datetime") as mock_datetime: - mock_now = datetime(2024, 1, 1, 12, 0, 0) - mock_datetime.now.return_value = mock_now + await model._handle_ws_event(audio_event) - await model._handle_ws_event(audio_event) + # Should emit audio event to listeners + mock_listener.on_event.assert_called_once() + emitted_event = mock_listener.on_event.call_args[0][0] + assert isinstance(emitted_event, RealtimeModelAudioEvent) + assert emitted_event.response_id == "resp_123" + assert emitted_event.data == b"test audio" # decoded from base64 - # Should emit audio event to listeners - mock_listener.on_event.assert_called_once() - emitted_event = mock_listener.on_event.call_args[0][0] - assert isinstance(emitted_event, RealtimeModelAudioEvent) - assert emitted_event.response_id == "resp_123" - assert emitted_event.data == b"test audio" # decoded from base64 + # Should update internal audio tracking state + assert model._current_item_id == "item_456" - # Should update internal audio tracking state - assert model._current_item_id == "item_456" - assert model._current_audio_content_index == 0 - assert model._audio_start_time == mock_now + # Test that audio state is tracked in the tracker + audio_state = model._audio_state_tracker.get_state("item_456", 0) + assert audio_state is not None + assert audio_state.audio_length_ms > 0 # Should have some audio length @pytest.mark.asyncio async def test_handle_error_event_success(self, model): @@ -319,6 +320,9 @@ async def test_audio_timing_calculation_accuracy(self, model): mock_listener = AsyncMock() model.add_listener(mock_listener) + # Set up audio format on the tracker before testing + model._audio_state_tracker.set_audio_format("pcm16") + # Send multiple audio deltas to test cumulative timing audio_deltas = [ { @@ -344,21 +348,34 @@ async def test_audio_timing_calculation_accuracy(self, model): for event in audio_deltas: await model._handle_ws_event(event) - # Should accumulate audio length: 8 bytes / 24 / 2 = ~0.167ms per byte - # Total: 8 bytes / 24 / 2 = 0.167ms - expected_length = 8 / 24 / 2 - assert abs(model._audio_length_ms - expected_length) < 0.001 + # Should accumulate audio length: 8 bytes / 24 / 2 * 1000 = milliseconds + # Total: 8 bytes / 24 / 2 * 1000 + expected_length = (8 / 24 / 2) * 1000 + + # Test through the actual audio state tracker + audio_state = model._audio_state_tracker.get_state("item_1", 0) + assert audio_state is not None + assert abs(audio_state.audio_length_ms - expected_length) < 0.001 def test_calculate_audio_length_ms_pure_function(self, model): """Test the pure audio length calculation function.""" - # Test various audio buffer sizes - assert model._calculate_audio_length_ms(b"test") == 4 / 24 / 2 # 4 bytes - assert model._calculate_audio_length_ms(b"") == 0 # empty - assert model._calculate_audio_length_ms(b"a" * 48) == 1.0 # exactly 1ms worth + from agents.realtime._util import calculate_audio_length_ms + + # Test various audio buffer sizes for pcm16 format + assert calculate_audio_length_ms("pcm16", b"test") == (4 / 24 / 2) * 1000 # 4 bytes + assert calculate_audio_length_ms("pcm16", b"") == 0 # empty + assert calculate_audio_length_ms("pcm16", b"a" * 48) == 1000.0 # exactly 1000ms worth + + # Test g711 format + assert calculate_audio_length_ms("g711_ulaw", b"test") == (4 / 8000) * 1000 # 4 bytes + assert calculate_audio_length_ms("g711_alaw", b"a" * 8) == (8 / 8000) * 1000 # 8 bytes @pytest.mark.asyncio async def test_handle_audio_delta_state_management(self, model): """Test that _handle_audio_delta properly manages internal state.""" + # Set up audio format on the tracker before testing + model._audio_state_tracker.set_audio_format("pcm16") + # Create mock parsed event mock_parsed = Mock() mock_parsed.content_index = 5 @@ -366,14 +383,16 @@ async def test_handle_audio_delta_state_management(self, model): mock_parsed.delta = "dGVzdA==" # "test" in base64 mock_parsed.response_id = "resp_123" - with patch("agents.realtime.openai_realtime.datetime") as mock_datetime: - mock_now = datetime(2024, 1, 1, 12, 0, 0) - mock_datetime.now.return_value = mock_now + await model._handle_audio_delta(mock_parsed) + + # Check state was updated correctly + assert model._current_item_id == "test_item" - await model._handle_audio_delta(mock_parsed) + # Test that audio state is tracked correctly + audio_state = model._audio_state_tracker.get_state("test_item", 5) + assert audio_state is not None + assert audio_state.audio_length_ms == (4 / 24 / 2) * 1000 # 4 bytes in milliseconds - # Check state was updated correctly - assert model._current_audio_content_index == 5 - assert model._current_item_id == "test_item" - assert model._audio_start_time == mock_now - assert model._audio_length_ms == 4 / 24 / 2 # 4 bytes + # Test that last audio item is tracked + last_item = model._audio_state_tracker.get_last_audio_item() + assert last_item == ("test_item", 5) diff --git a/tests/realtime/test_playback_tracker.py b/tests/realtime/test_playback_tracker.py new file mode 100644 index 000000000..c0bfba468 --- /dev/null +++ b/tests/realtime/test_playback_tracker.py @@ -0,0 +1,112 @@ +from unittest.mock import AsyncMock + +import pytest + +from agents.realtime._default_tracker import ModelAudioTracker +from agents.realtime.model import RealtimePlaybackTracker +from agents.realtime.model_inputs import RealtimeModelSendInterrupt +from agents.realtime.openai_realtime import OpenAIRealtimeWebSocketModel + + +class TestPlaybackTracker: + """Test playback tracker functionality for interrupt timing.""" + + @pytest.fixture + def model(self): + """Create a fresh model instance for each test.""" + return OpenAIRealtimeWebSocketModel() + + @pytest.mark.asyncio + async def test_interrupt_timing_with_custom_playback_tracker(self, model): + """Test interrupt uses custom playback tracker elapsed time instead of default timing.""" + + # Create custom tracker and set elapsed time + custom_tracker = RealtimePlaybackTracker() + custom_tracker.set_audio_format("pcm16") + custom_tracker.on_play_ms("item_1", 1, 500.0) # content_index 1, 500ms played + + # Set up model with custom tracker directly + model._playback_tracker = custom_tracker + + # Mock send_raw_message to capture interrupt + model._send_raw_message = AsyncMock() + + # Send interrupt + + await model._send_interrupt(RealtimeModelSendInterrupt()) + + # Should use custom tracker's 500ms elapsed time + model._send_raw_message.assert_called_once() + call_args = model._send_raw_message.call_args[0][0] + assert call_args.audio_end_ms == 500 + + @pytest.mark.asyncio + async def test_interrupt_skipped_when_no_audio_playing(self, model): + """Test interrupt returns early when no audio is currently playing.""" + model._send_raw_message = AsyncMock() + + # No audio playing (default state) + + await model._send_interrupt(RealtimeModelSendInterrupt()) + + # Should not send any interrupt message + model._send_raw_message.assert_not_called() + + def test_audio_state_accumulation_across_deltas(self): + """Test ModelAudioTracker accumulates audio length across multiple deltas.""" + + tracker = ModelAudioTracker() + tracker.set_audio_format("pcm16") + + # Send multiple deltas for same item + tracker.on_audio_delta("item_1", 0, b"test") # 4 bytes + tracker.on_audio_delta("item_1", 0, b"more") # 4 bytes + + state = tracker.get_state("item_1", 0) + assert state is not None + # Should accumulate: 8 bytes / 24 / 2 * 1000 = 166.67ms + expected_length = (8 / 24 / 2) * 1000 + assert abs(state.audio_length_ms - expected_length) < 0.01 + + def test_state_cleanup_on_interruption(self): + """Test both trackers properly reset state on interruption.""" + + # Test ModelAudioTracker cleanup + model_tracker = ModelAudioTracker() + model_tracker.set_audio_format("pcm16") + model_tracker.on_audio_delta("item_1", 0, b"test") + assert model_tracker.get_last_audio_item() == ("item_1", 0) + + model_tracker.on_interrupted() + assert model_tracker.get_last_audio_item() is None + + # Test RealtimePlaybackTracker cleanup + playback_tracker = RealtimePlaybackTracker() + playback_tracker.on_play_ms("item_1", 0, 100.0) + + state = playback_tracker.get_state() + assert state["current_item_id"] == "item_1" + assert state["elapsed_ms"] == 100.0 + + playback_tracker.on_interrupted() + state = playback_tracker.get_state() + assert state["current_item_id"] is None + assert state["elapsed_ms"] is None + + def test_audio_length_calculation_with_different_formats(self): + """Test calculate_audio_length_ms handles g711 and PCM formats correctly.""" + from agents.realtime._util import calculate_audio_length_ms + + # Test g711 format (8kHz) + g711_bytes = b"12345678" # 8 bytes + g711_length = calculate_audio_length_ms("g711_ulaw", g711_bytes) + assert g711_length == 1 # (8 / 8000) * 1000 + + # Test PCM format (24kHz, default) + pcm_bytes = b"test" # 4 bytes + pcm_length = calculate_audio_length_ms("pcm16", pcm_bytes) + assert pcm_length == (4 / 24 / 2) * 1000 # ~83.33ms + + # Test None format (defaults to PCM) + none_length = calculate_audio_length_ms(None, pcm_bytes) + assert none_length == pcm_length From d930dc47d2b91c4edad6cc3a1bdb5e8703056a50 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Thu, 24 Jul 2025 13:43:27 -0400 Subject: [PATCH 283/337] Realtime: only cancel response if necessary --- src/agents/realtime/openai_realtime.py | 20 +++++++++++++++++++- 1 file changed, 19 insertions(+), 1 deletion(-) diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 2e950b0a1..01a246ad2 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -140,6 +140,7 @@ def __init__(self) -> None: self._ongoing_response: bool = False self._tracing_config: RealtimeModelTracingConfig | Literal["auto"] | None = None self._playback_tracker: RealtimePlaybackTracker | None = None + self._created_session: OpenAISessionObject | None = None async def connect(self, options: RealtimeModelConfig) -> None: """Establish a connection to the model and keep it alive.""" @@ -349,7 +350,14 @@ async def _send_interrupt(self, event: RealtimeModelSendInterrupt) -> None: int(elapsed_ms), ) await self._send_raw_message(converted) - await self._cancel_response() + + automatic_response_cancellation_enabled = ( + self._created_session + and self._created_session.turn_detection + and self._created_session.turn_detection.interrupt_response + ) + if not automatic_response_cancellation_enabled: + await self._cancel_response() self._audio_state_tracker.on_interrupted() if self._playback_tracker: @@ -483,6 +491,9 @@ async def _handle_ws_event(self, event: dict[str, Any]): await self._emit_event(RealtimeModelTurnEndedEvent()) elif parsed.type == "session.created": await self._send_tracing_config(self._tracing_config) + self._update_created_session(parsed.session) # type: ignore + elif parsed.type == "session.updated": + self._update_created_session(parsed.session) # type: ignore elif parsed.type == "error": await self._emit_event(RealtimeModelErrorEvent(error=parsed.error)) elif parsed.type == "conversation.item.deleted": @@ -532,6 +543,13 @@ async def _handle_ws_event(self, event: dict[str, Any]): ): await self._handle_output_item(parsed.item) + def _update_created_session(self, session: OpenAISessionObject) -> None: + self._created_session = session + if session.output_audio_format: + self._audio_state_tracker.set_audio_format(session.output_audio_format) + if self._playback_tracker: + self._playback_tracker.set_audio_format(session.output_audio_format) + async def _update_session_config(self, model_settings: RealtimeSessionModelSettings) -> None: session_config = self._get_session_config(model_settings) await self._send_raw_message( From caee1571531943550a164fd491fea0ad1cb898ef Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Thu, 24 Jul 2025 21:35:40 -0400 Subject: [PATCH 284/337] Realtime: twilio example --- docs/scripts/generate_ref_files.py | 2 + examples/realtime/twilio/README.md | 86 ++++++ examples/realtime/twilio/__init__.py | 0 examples/realtime/twilio/requirements.txt | 4 + examples/realtime/twilio/server.py | 67 +++++ examples/realtime/twilio/twilio_handler.py | 264 +++++++++++++++++++ src/agents/models/chatcmpl_stream_handler.py | 24 +- 7 files changed, 436 insertions(+), 11 deletions(-) create mode 100644 examples/realtime/twilio/README.md create mode 100644 examples/realtime/twilio/__init__.py create mode 100644 examples/realtime/twilio/requirements.txt create mode 100644 examples/realtime/twilio/server.py create mode 100644 examples/realtime/twilio/twilio_handler.py diff --git a/docs/scripts/generate_ref_files.py b/docs/scripts/generate_ref_files.py index 9deef7528..84ecdf148 100644 --- a/docs/scripts/generate_ref_files.py +++ b/docs/scripts/generate_ref_files.py @@ -31,6 +31,7 @@ def md_target(py_path: Path) -> Path: rel = py_path.relative_to(SRC_ROOT).with_suffix(".md") return DOCS_ROOT / rel + def pretty_title(last_segment: str) -> str: """ Convert a module/file segment like 'tool_context' to 'Tool Context'. @@ -39,6 +40,7 @@ def pretty_title(last_segment: str) -> str: cleaned = last_segment.replace("_", " ").replace("-", " ") return capwords(cleaned) + # ---- Main ------------------------------------------------------------ diff --git a/examples/realtime/twilio/README.md b/examples/realtime/twilio/README.md new file mode 100644 index 000000000..e031f5e49 --- /dev/null +++ b/examples/realtime/twilio/README.md @@ -0,0 +1,86 @@ +# Realtime Twilio Integration + +This example demonstrates how to connect the OpenAI Realtime API to a phone call using Twilio's Media Streams. The server handles incoming phone calls and streams audio between Twilio and the OpenAI Realtime API, enabling real-time voice conversations with an AI agent over the phone. + +## Prerequisites + +- Python 3.9+ +- OpenAI API key with Realtime API access +- Twilio account with a phone number +- A tunneling service like ngrok to expose your local server + +## Setup + +1. **Start the server:** + + ```bash + uv run server.py + ``` + + The server will start on port 8000 by default. + +2. **Expose the server publicly, e.g. via ngrok:** + + ```bash + ngrok http 8000 + ``` + + Note the public URL (e.g., `https://abc123.ngrok.io`) + +3. **Configure your Twilio phone number:** + - Log into your Twilio Console + - Select your phone number + - Set the webhook URL for incoming calls to: `https://your-ngrok-url.ngrok.io/incoming-call` + - Set the HTTP method to POST + +## Usage + +1. Call your Twilio phone number +2. You'll hear: "Hello! You're now connected to an AI assistant. You can start talking!" +3. Start speaking - the AI will respond in real-time +4. The assistant has access to tools like weather information and current time + +## How It Works + +1. **Incoming Call**: When someone calls your Twilio number, Twilio makes a request to `/incoming-call` +2. **TwiML Response**: The server returns TwiML that: + - Plays a greeting message + - Connects the call to a WebSocket stream at `/media-stream` +3. **WebSocket Connection**: Twilio establishes a WebSocket connection for bidirectional audio streaming +4. **Transport Layer**: The `TwilioRealtimeTransportLayer` class owns the WebSocket message handling: + - Takes ownership of the Twilio WebSocket after initial handshake + - Runs its own message loop to process all Twilio messages + - Handles protocol differences between Twilio and OpenAI + - Automatically sets G.711 μ-law audio format for Twilio compatibility + - Manages audio chunk tracking for interruption support + - Wraps the OpenAI realtime model instead of subclassing it +5. **Audio Processing**: + - Audio from the caller is base64 decoded and sent to OpenAI Realtime API + - Audio responses from OpenAI are base64 encoded and sent back to Twilio + - Twilio plays the audio to the caller + +## Configuration + +- **Port**: Set `PORT` environment variable (default: 8000) +- **OpenAI API Key**: Set `OPENAI_API_KEY` environment variable +- **Agent Instructions**: Modify the `RealtimeAgent` configuration in `server.py` +- **Tools**: Add or modify function tools in `server.py` + +## Troubleshooting + +- **WebSocket connection issues**: Ensure your ngrok URL is correct and publicly accessible +- **Audio quality**: Twilio streams audio in mulaw format at 8kHz, which may affect quality +- **Latency**: Network latency between Twilio, your server, and OpenAI affects response time +- **Logs**: Check the console output for detailed connection and error logs + +## Architecture + +``` +Phone Call → Twilio → WebSocket → TwilioRealtimeTransportLayer → OpenAI Realtime API + ↓ + RealtimeAgent with Tools + ↓ + Audio Response → Twilio → Phone Call +``` + +The `TwilioRealtimeTransportLayer` acts as a bridge between Twilio's Media Streams and OpenAI's Realtime API, handling the protocol differences and audio format conversions. It wraps the OpenAI realtime model to provide a clean interface for Twilio integration. diff --git a/examples/realtime/twilio/__init__.py b/examples/realtime/twilio/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/examples/realtime/twilio/requirements.txt b/examples/realtime/twilio/requirements.txt new file mode 100644 index 000000000..8fc858c40 --- /dev/null +++ b/examples/realtime/twilio/requirements.txt @@ -0,0 +1,4 @@ +fastapi +uvicorn[standard] +websockets +python-dotenv \ No newline at end of file diff --git a/examples/realtime/twilio/server.py b/examples/realtime/twilio/server.py new file mode 100644 index 000000000..c1dfec4f5 --- /dev/null +++ b/examples/realtime/twilio/server.py @@ -0,0 +1,67 @@ +import os + +from fastapi import FastAPI, Request, WebSocket, WebSocketDisconnect +from fastapi.responses import PlainTextResponse +from twilio_handler import TwilioHandler + + +class TwilioWebSocketManager: + def __init__(self): + self.active_handlers: dict[str, TwilioHandler] = {} + + async def new_session(self, websocket: WebSocket) -> TwilioHandler: + """Create and configure a new session.""" + print("Creating twilio handler") + + handler = TwilioHandler(websocket) + return handler + + # In a real app, you'd also want to clean up/close the handler when the call ends + + +manager = TwilioWebSocketManager() +app = FastAPI() + + +@app.get("/") +async def root(): + return {"message": "Twilio Media Stream Server is running!"} + + +@app.post("/incoming-call") +@app.get("/incoming-call") +async def incoming_call(request: Request): + """Handle incoming Twilio phone calls""" + host = request.headers.get("Host") + + twiml_response = f""" + + Hello! You're now connected to an AI assistant. You can start talking! + + + +""" + return PlainTextResponse(content=twiml_response, media_type="text/xml") + + +@app.websocket("/media-stream") +async def media_stream_endpoint(websocket: WebSocket): + """WebSocket endpoint for Twilio Media Streams""" + + try: + handler = await manager.new_session(websocket) + await handler.start() + + await handler.wait_until_done() + + except WebSocketDisconnect: + print("WebSocket disconnected") + except Exception as e: + print(f"WebSocket error: {e}") + + +if __name__ == "__main__": + import uvicorn + + port = int(os.getenv("PORT", 8000)) + uvicorn.run(app, host="0.0.0.0", port=port) diff --git a/examples/realtime/twilio/twilio_handler.py b/examples/realtime/twilio/twilio_handler.py new file mode 100644 index 000000000..567015dfc --- /dev/null +++ b/examples/realtime/twilio/twilio_handler.py @@ -0,0 +1,264 @@ +from __future__ import annotations + +import asyncio +import base64 +import json +import os +import time +from datetime import datetime +from typing import Any + +from fastapi import WebSocket + +from agents import function_tool +from agents.realtime import ( + RealtimeAgent, + RealtimePlaybackTracker, + RealtimeRunner, + RealtimeSession, + RealtimeSessionEvent, +) + + +@function_tool +def get_weather(city: str) -> str: + """Get the weather in a city.""" + return f"The weather in {city} is sunny." + + +@function_tool +def get_current_time() -> str: + """Get the current time.""" + return f"The current time is {datetime.now().strftime('%H:%M:%S')}" + + +agent = RealtimeAgent( + name="Twilio Assistant", + instructions="You are a helpful assistant that starts every conversation with a creative greeting. Keep responses concise and friendly since this is a phone conversation.", + tools=[get_weather, get_current_time], +) + + +class TwilioHandler: + def __init__(self, twilio_websocket: WebSocket): + self.twilio_websocket = twilio_websocket + self._message_loop_task: asyncio.Task[None] | None = None + self.session: RealtimeSession | None = None + self.playback_tracker = RealtimePlaybackTracker() + + # Audio buffering configuration (matching CLI demo) + self.CHUNK_LENGTH_S = 0.05 # 50ms chunks like CLI demo + self.SAMPLE_RATE = 8000 # Twilio uses 8kHz for g711_ulaw + self.BUFFER_SIZE_BYTES = int(self.SAMPLE_RATE * self.CHUNK_LENGTH_S) # 50ms worth of audio + + self._stream_sid: str | None = None + self._audio_buffer: bytearray = bytearray() + self._last_buffer_send_time = time.time() + + # Mark event tracking for playback + self._mark_counter = 0 + self._mark_data: dict[ + str, tuple[str, int, int] + ] = {} # mark_id -> (item_id, content_index, byte_count) + + async def start(self) -> None: + """Start the session.""" + runner = RealtimeRunner(agent) + api_key = os.getenv("OPENAI_API_KEY") + if not api_key: + raise ValueError("OPENAI_API_KEY environment variable is required") + + self.session = await runner.run( + model_config={ + "api_key": api_key, + "initial_model_settings": { + "input_audio_format": "g711_ulaw", + "output_audio_format": "g711_ulaw", + "turn_detection": { + "type": "semantic_vad", + "interrupt_response": True, + "create_response": True, + }, + }, + "playback_tracker": self.playback_tracker, + } + ) + + await self.session.enter() + + await self.twilio_websocket.accept() + print("Twilio WebSocket connection accepted") + + self._realtime_session_task = asyncio.create_task(self._realtime_session_loop()) + self._message_loop_task = asyncio.create_task(self._twilio_message_loop()) + self._buffer_flush_task = asyncio.create_task(self._buffer_flush_loop()) + + async def wait_until_done(self) -> None: + """Wait until the session is done.""" + assert self._message_loop_task is not None + await self._message_loop_task + + async def _realtime_session_loop(self) -> None: + """Listen for events from the realtime session.""" + assert self.session is not None + try: + async for event in self.session: + await self._handle_realtime_event(event) + except Exception as e: + print(f"Error in realtime session loop: {e}") + + async def _twilio_message_loop(self) -> None: + """Listen for messages from Twilio WebSocket and handle them.""" + try: + while True: + message_text = await self.twilio_websocket.receive_text() + message = json.loads(message_text) + await self._handle_twilio_message(message) + except json.JSONDecodeError as e: + print(f"Failed to parse Twilio message as JSON: {e}") + except Exception as e: + print(f"Error in Twilio message loop: {e}") + + async def _handle_realtime_event(self, event: RealtimeSessionEvent) -> None: + """Handle events from the realtime session.""" + if event.type == "audio": + base64_audio = base64.b64encode(event.audio.data).decode("utf-8") + await self.twilio_websocket.send_text( + json.dumps( + { + "event": "media", + "streamSid": self._stream_sid, + "media": {"payload": base64_audio}, + } + ) + ) + + # Send mark event for playback tracking + self._mark_counter += 1 + mark_id = str(self._mark_counter) + self._mark_data[mark_id] = ( + event.audio.item_id, + event.audio.content_index, + len(event.audio.data), + ) + + await self.twilio_websocket.send_text( + json.dumps( + { + "event": "mark", + "streamSid": self._stream_sid, + "mark": {"name": mark_id}, + } + ) + ) + + elif event.type == "audio_interrupted": + print("Sending audio interrupted to Twilio") + await self.twilio_websocket.send_text( + json.dumps({"event": "clear", "streamSid": self._stream_sid}) + ) + elif event.type == "audio_end": + print("Audio end") + elif event.type == "raw_model_event": + pass + else: + pass + + async def _handle_twilio_message(self, message: dict[str, Any]) -> None: + """Handle incoming messages from Twilio Media Stream.""" + try: + event = message.get("event") + + if event == "connected": + print("Twilio media stream connected") + elif event == "start": + start_data = message.get("start", {}) + self._stream_sid = start_data.get("streamSid") + print(f"Media stream started with SID: {self._stream_sid}") + elif event == "media": + await self._handle_media_event(message) + elif event == "mark": + await self._handle_mark_event(message) + elif event == "stop": + print("Media stream stopped") + except Exception as e: + print(f"Error handling Twilio message: {e}") + + async def _handle_media_event(self, message: dict[str, Any]) -> None: + """Handle audio data from Twilio - buffer it before sending to OpenAI.""" + media = message.get("media", {}) + payload = media.get("payload", "") + + if payload: + try: + # Decode base64 audio from Twilio (µ-law format) + ulaw_bytes = base64.b64decode(payload) + + # Add original µ-law to buffer for OpenAI (they expect µ-law) + self._audio_buffer.extend(ulaw_bytes) + + # Send buffered audio if we have enough data + if len(self._audio_buffer) >= self.BUFFER_SIZE_BYTES: + await self._flush_audio_buffer() + + except Exception as e: + print(f"Error processing audio from Twilio: {e}") + + async def _handle_mark_event(self, message: dict[str, Any]) -> None: + """Handle mark events from Twilio to update playback tracker.""" + try: + mark_data = message.get("mark", {}) + mark_id = mark_data.get("name", "") + + # Look up stored data for this mark ID + if mark_id in self._mark_data: + item_id, item_content_index, byte_count = self._mark_data[mark_id] + + # Convert byte count back to bytes for playback tracker + audio_bytes = b"\x00" * byte_count # Placeholder bytes + + # Update playback tracker + self.playback_tracker.on_play_bytes(item_id, item_content_index, audio_bytes) + print( + f"Playback tracker updated: {item_id}, index {item_content_index}, {byte_count} bytes" + ) + + # Clean up the stored data + del self._mark_data[mark_id] + + except Exception as e: + print(f"Error handling mark event: {e}") + + async def _flush_audio_buffer(self) -> None: + """Send buffered audio to OpenAI.""" + if not self._audio_buffer or not self.session: + return + + try: + # Send the buffered audio + buffer_data = bytes(self._audio_buffer) + await self.session.send_audio(buffer_data) + + # Clear the buffer + self._audio_buffer.clear() + self._last_buffer_send_time = time.time() + + except Exception as e: + print(f"Error sending buffered audio to OpenAI: {e}") + + async def _buffer_flush_loop(self) -> None: + """Periodically flush audio buffer to prevent stale data.""" + try: + while True: + await asyncio.sleep(self.CHUNK_LENGTH_S) # Check every 50ms + + # If buffer has data and it's been too long since last send, flush it + current_time = time.time() + if ( + self._audio_buffer + and current_time - self._last_buffer_send_time > self.CHUNK_LENGTH_S * 2 + ): + await self._flush_audio_buffer() + + except Exception as e: + print(f"Error in buffer flush loop: {e}") diff --git a/src/agents/models/chatcmpl_stream_handler.py b/src/agents/models/chatcmpl_stream_handler.py index eab4c291b..475d4f93f 100644 --- a/src/agents/models/chatcmpl_stream_handler.py +++ b/src/agents/models/chatcmpl_stream_handler.py @@ -288,10 +288,11 @@ async def handle_stream( function_call = state.function_calls[tc_delta.index] # Start streaming as soon as we have function name and call_id - if (not state.function_call_streaming[tc_delta.index] and - function_call.name and - function_call.call_id): - + if ( + not state.function_call_streaming[tc_delta.index] + and function_call.name + and function_call.call_id + ): # Calculate the output index for this function call function_call_starting_index = 0 if state.reasoning_content_index_and_output: @@ -308,9 +309,9 @@ async def handle_stream( # Mark this function call as streaming and store its output index state.function_call_streaming[tc_delta.index] = True - state.function_call_output_idx[ - tc_delta.index - ] = function_call_starting_index + state.function_call_output_idx[tc_delta.index] = ( + function_call_starting_index + ) # Send initial function call added event yield ResponseOutputItemAddedEvent( @@ -327,10 +328,11 @@ async def handle_stream( ) # Stream arguments if we've started streaming this function call - if (state.function_call_streaming.get(tc_delta.index, False) and - tc_function and - tc_function.arguments): - + if ( + state.function_call_streaming.get(tc_delta.index, False) + and tc_function + and tc_function.arguments + ): output_index = state.function_call_output_idx[tc_delta.index] yield ResponseFunctionCallArgumentsDeltaEvent( delta=tc_function.arguments, From b77e33c01a1873ca9fff0541a6e0edb927475c51 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 25 Jul 2025 13:38:18 -0400 Subject: [PATCH 285/337] Realtime: enable a playback tracker --- src/agents/realtime/__init__.py | 4 + src/agents/realtime/_default_tracker.py | 45 ++++++++++ src/agents/realtime/_util.py | 7 ++ src/agents/realtime/model.py | 94 ++++++++++++++++++++ src/agents/realtime/openai_realtime.py | 82 +++++++++++------ tests/realtime/test_openai_realtime.py | 83 +++++++++++------- tests/realtime/test_playback_tracker.py | 112 ++++++++++++++++++++++++ 7 files changed, 368 insertions(+), 59 deletions(-) create mode 100644 src/agents/realtime/_default_tracker.py create mode 100644 src/agents/realtime/_util.py create mode 100644 tests/realtime/test_playback_tracker.py diff --git a/src/agents/realtime/__init__.py b/src/agents/realtime/__init__.py index 49c131389..7675c466f 100644 --- a/src/agents/realtime/__init__.py +++ b/src/agents/realtime/__init__.py @@ -47,6 +47,8 @@ RealtimeModel, RealtimeModelConfig, RealtimeModelListener, + RealtimePlaybackState, + RealtimePlaybackTracker, ) from .model_events import ( RealtimeConnectionStatus, @@ -139,6 +141,8 @@ "RealtimeModel", "RealtimeModelConfig", "RealtimeModelListener", + "RealtimePlaybackTracker", + "RealtimePlaybackState", # Model Events "RealtimeConnectionStatus", "RealtimeModelAudioDoneEvent", diff --git a/src/agents/realtime/_default_tracker.py b/src/agents/realtime/_default_tracker.py new file mode 100644 index 000000000..ece485efd --- /dev/null +++ b/src/agents/realtime/_default_tracker.py @@ -0,0 +1,45 @@ +from dataclasses import dataclass +from datetime import datetime + +from ._util import calculate_audio_length_ms +from .config import RealtimeAudioFormat + + +@dataclass +class ModelAudioState: + initial_received_time: datetime + audio_length_ms: float + + +class ModelAudioTracker: + def __init__(self) -> None: + # (item_id, item_content_index) -> ModelAudioState + self._states: dict[tuple[str, int], ModelAudioState] = {} + self._last_audio_item: tuple[str, int] | None = None + + def set_audio_format(self, format: RealtimeAudioFormat) -> None: + """Called when the model wants to set the audio format.""" + self._format = format + + def on_audio_delta(self, item_id: str, item_content_index: int, bytes: bytes) -> None: + """Called when an audio delta is received from the model.""" + ms = calculate_audio_length_ms(self._format, bytes) + new_key = (item_id, item_content_index) + + self._last_audio_item = new_key + if new_key not in self._states: + self._states[new_key] = ModelAudioState(datetime.now(), ms) + else: + self._states[new_key].audio_length_ms += ms + + def on_interrupted(self) -> None: + """Called when the audio playback has been interrupted.""" + self._last_audio_item = None + + def get_state(self, item_id: str, item_content_index: int) -> ModelAudioState | None: + """Called when the model wants to get the current playback state.""" + return self._states.get((item_id, item_content_index)) + + def get_last_audio_item(self) -> tuple[str, int] | None: + """Called when the model wants to get the last audio item ID and content index.""" + return self._last_audio_item diff --git a/src/agents/realtime/_util.py b/src/agents/realtime/_util.py new file mode 100644 index 000000000..9a67a452e --- /dev/null +++ b/src/agents/realtime/_util.py @@ -0,0 +1,7 @@ +from .config import RealtimeAudioFormat + + +def calculate_audio_length_ms(format: RealtimeAudioFormat | None, bytes: bytes) -> float: + if format and format.startswith("g711"): + return (len(bytes) / 8000) * 1000 + return (len(bytes) / 24 / 2) * 1000 diff --git a/src/agents/realtime/model.py b/src/agents/realtime/model.py index e279ecc95..d7ebe4ffa 100644 --- a/src/agents/realtime/model.py +++ b/src/agents/realtime/model.py @@ -6,13 +6,95 @@ from typing_extensions import NotRequired, TypedDict from ..util._types import MaybeAwaitable +from ._util import calculate_audio_length_ms from .config import ( + RealtimeAudioFormat, RealtimeSessionModelSettings, ) from .model_events import RealtimeModelEvent from .model_inputs import RealtimeModelSendEvent +class RealtimePlaybackState(TypedDict): + current_item_id: str | None + """The item ID of the current item being played.""" + + current_item_content_index: int | None + """The index of the current item content being played.""" + + elapsed_ms: float | None + """The number of milliseconds of audio that have been played.""" + + +class RealtimePlaybackTracker: + """If you have custom playback logic or expect that audio is played with delays or at different + speeds, create an instance of RealtimePlaybackTracker and pass it to the session. You are + responsible for tracking the audio playback progress and calling `on_play_bytes` or + `on_play_ms` when the user has played some audio.""" + + def __init__(self) -> None: + self._format: RealtimeAudioFormat | None = None + # (item_id, item_content_index) + self._current_item: tuple[str, int] | None = None + self._elapsed_ms: float | None = None + + def on_play_bytes(self, item_id: str, item_content_index: int, bytes: bytes) -> None: + """Called by you when you have played some audio. + + Args: + item_id: The item ID of the audio being played. + item_content_index: The index of the audio content in `item.content` + bytes: The audio bytes that have been fully played. + """ + ms = calculate_audio_length_ms(self._format, bytes) + self.on_play_ms(item_id, item_content_index, ms) + + def on_play_ms(self, item_id: str, item_content_index: int, ms: float) -> None: + """Called by you when you have played some audio. + + Args: + item_id: The item ID of the audio being played. + item_content_index: The index of the audio content in `item.content` + ms: The number of milliseconds of audio that have been played. + """ + if self._current_item != (item_id, item_content_index): + self._current_item = (item_id, item_content_index) + self._elapsed_ms = ms + else: + assert self._elapsed_ms is not None + self._elapsed_ms += ms + + def on_interrupted(self) -> None: + """Called by the model when the audio playback has been interrupted.""" + self._current_item = None + self._elapsed_ms = None + + def set_audio_format(self, format: RealtimeAudioFormat) -> None: + """Will be called by the model to set the audio format. + + Args: + format: The audio format to use. + """ + self._format = format + + def get_state(self) -> RealtimePlaybackState: + """Will be called by the model to get the current playback state.""" + if self._current_item is None: + return { + "current_item_id": None, + "current_item_content_index": None, + "elapsed_ms": None, + } + assert self._elapsed_ms is not None + + item_id, item_content_index = self._current_item + return { + "current_item_id": item_id, + "current_item_content_index": item_content_index, + "elapsed_ms": self._elapsed_ms, + } + + class RealtimeModelListener(abc.ABC): """A listener for realtime transport events.""" @@ -39,6 +121,18 @@ class RealtimeModelConfig(TypedDict): initial_model_settings: NotRequired[RealtimeSessionModelSettings] """The initial model settings to use when connecting.""" + playback_tracker: NotRequired[RealtimePlaybackTracker] + """The playback tracker to use when tracking audio playback progress. If not set, the model will + use a default implementation that assumes audio is played immediately, at realtime speed. + + A playback tracker is useful for interruptions. The model generates audio much faster than + realtime playback speed. So if there's an interruption, its useful for the model to know how + much of the audio has been played by the user. In low-latency scenarios, it's fine to assume + that audio is played back immediately at realtime speed. But in scenarios like phone calls or + other remote interactions, you can set a playback tracker that lets the model know when audio + is played to the user. + """ + class RealtimeModel(abc.ABC): """Interface for connecting to a realtime model and sending/receiving events.""" diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index ab9408dfe..2e950b0a1 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -57,6 +57,7 @@ from websockets.asyncio.client import ClientConnection from agents.handoffs import Handoff +from agents.realtime._default_tracker import ModelAudioTracker from agents.tool import FunctionTool, Tool from agents.util._types import MaybeAwaitable @@ -72,6 +73,8 @@ RealtimeModel, RealtimeModelConfig, RealtimeModelListener, + RealtimePlaybackState, + RealtimePlaybackTracker, ) from .model_events import ( RealtimeModelAudioDoneEvent, @@ -133,11 +136,10 @@ def __init__(self) -> None: self._websocket_task: asyncio.Task[None] | None = None self._listeners: list[RealtimeModelListener] = [] self._current_item_id: str | None = None - self._audio_start_time: datetime | None = None - self._audio_length_ms: float = 0.0 + self._audio_state_tracker: ModelAudioTracker = ModelAudioTracker() self._ongoing_response: bool = False - self._current_audio_content_index: int | None = None self._tracing_config: RealtimeModelTracingConfig | Literal["auto"] | None = None + self._playback_tracker: RealtimePlaybackTracker | None = None async def connect(self, options: RealtimeModelConfig) -> None: """Establish a connection to the model and keep it alive.""" @@ -146,6 +148,8 @@ async def connect(self, options: RealtimeModelConfig) -> None: model_settings: RealtimeSessionModelSettings = options.get("initial_model_settings", {}) + self._playback_tracker = options.get("playback_tracker", RealtimePlaybackTracker()) + self.model = model_settings.get("model_name", self.model) api_key = await get_api_key(options.get("api_key")) @@ -294,31 +298,62 @@ async def _send_tool_output(self, event: RealtimeModelSendToolOutput) -> None: if event.start_response: await self._send_raw_message(OpenAIResponseCreateEvent(type="response.create")) + def _get_playback_state(self) -> RealtimePlaybackState: + if self._playback_tracker: + return self._playback_tracker.get_state() + + if last_audio_item_id := self._audio_state_tracker.get_last_audio_item(): + item_id, item_content_index = last_audio_item_id + audio_state = self._audio_state_tracker.get_state(item_id, item_content_index) + if audio_state: + elapsed_ms = ( + datetime.now() - audio_state.initial_received_time + ).total_seconds() * 1000 + return { + "current_item_id": item_id, + "current_item_content_index": item_content_index, + "elapsed_ms": elapsed_ms, + } + + return { + "current_item_id": None, + "current_item_content_index": None, + "elapsed_ms": None, + } + async def _send_interrupt(self, event: RealtimeModelSendInterrupt) -> None: - if not self._current_item_id or not self._audio_start_time: + playback_state = self._get_playback_state() + current_item_id = playback_state.get("current_item_id") + current_item_content_index = playback_state.get("current_item_content_index") + elapsed_ms = playback_state.get("elapsed_ms") + if current_item_id is None or elapsed_ms is None: + logger.info( + "Skipping interrupt. " + f"Item id: {current_item_id}, " + f"elapsed ms: {elapsed_ms}, " + f"content index: {current_item_content_index}" + ) return - await self._cancel_response() - - elapsed_time_ms = (datetime.now() - self._audio_start_time).total_seconds() * 1000 - if elapsed_time_ms > 0 and elapsed_time_ms < self._audio_length_ms: + current_item_content_index = current_item_content_index or 0 + if elapsed_ms > 0: await self._emit_event( RealtimeModelAudioInterruptedEvent( - item_id=self._current_item_id, - content_index=self._current_audio_content_index or 0, + item_id=current_item_id, + content_index=current_item_content_index, ) ) converted = _ConversionHelper.convert_interrupt( - self._current_item_id, - self._current_audio_content_index or 0, - int(elapsed_time_ms), + current_item_id, + current_item_content_index, + int(elapsed_ms), ) await self._send_raw_message(converted) + await self._cancel_response() - self._current_item_id = None - self._audio_start_time = None - self._audio_length_ms = 0.0 - self._current_audio_content_index = None + self._audio_state_tracker.on_interrupted() + if self._playback_tracker: + self._playback_tracker.on_interrupted() async def _send_session_update(self, event: RealtimeModelSendSessionUpdate) -> None: """Send a session update to the model.""" @@ -326,15 +361,12 @@ async def _send_session_update(self, event: RealtimeModelSendSessionUpdate) -> N async def _handle_audio_delta(self, parsed: ResponseAudioDeltaEvent) -> None: """Handle audio delta events and update audio tracking state.""" - self._current_audio_content_index = parsed.content_index self._current_item_id = parsed.item_id - if self._audio_start_time is None: - self._audio_start_time = datetime.now() - self._audio_length_ms = 0.0 audio_bytes = base64.b64decode(parsed.delta) - # Calculate audio length in ms using 24KHz pcm16le - self._audio_length_ms += self._calculate_audio_length_ms(audio_bytes) + + self._audio_state_tracker.on_audio_delta(parsed.item_id, parsed.content_index, audio_bytes) + await self._emit_event( RealtimeModelAudioEvent( data=audio_bytes, @@ -344,10 +376,6 @@ async def _handle_audio_delta(self, parsed: ResponseAudioDeltaEvent) -> None: ) ) - def _calculate_audio_length_ms(self, audio_bytes: bytes) -> float: - """Calculate audio length in milliseconds for 24KHz PCM16LE format.""" - return len(audio_bytes) / 24 / 2 - async def _handle_output_item(self, item: ConversationItem) -> None: """Handle response output item events (function calls and messages).""" if item.type == "function_call" and item.status == "completed": diff --git a/tests/realtime/test_openai_realtime.py b/tests/realtime/test_openai_realtime.py index 5cb0eb0fa..704d95d40 100644 --- a/tests/realtime/test_openai_realtime.py +++ b/tests/realtime/test_openai_realtime.py @@ -1,4 +1,3 @@ -from datetime import datetime from typing import Any from unittest.mock import AsyncMock, Mock, patch @@ -226,6 +225,9 @@ async def test_handle_audio_delta_event_success(self, model): mock_listener = AsyncMock() model.add_listener(mock_listener) + # Set up audio format on the tracker before testing + model._audio_state_tracker.set_audio_format("pcm16") + # Valid audio delta event (minimal required fields for OpenAI spec) audio_event = { "type": "response.audio.delta", @@ -237,23 +239,22 @@ async def test_handle_audio_delta_event_success(self, model): "delta": "dGVzdCBhdWRpbw==", # base64 encoded "test audio" } - with patch("agents.realtime.openai_realtime.datetime") as mock_datetime: - mock_now = datetime(2024, 1, 1, 12, 0, 0) - mock_datetime.now.return_value = mock_now + await model._handle_ws_event(audio_event) - await model._handle_ws_event(audio_event) + # Should emit audio event to listeners + mock_listener.on_event.assert_called_once() + emitted_event = mock_listener.on_event.call_args[0][0] + assert isinstance(emitted_event, RealtimeModelAudioEvent) + assert emitted_event.response_id == "resp_123" + assert emitted_event.data == b"test audio" # decoded from base64 - # Should emit audio event to listeners - mock_listener.on_event.assert_called_once() - emitted_event = mock_listener.on_event.call_args[0][0] - assert isinstance(emitted_event, RealtimeModelAudioEvent) - assert emitted_event.response_id == "resp_123" - assert emitted_event.data == b"test audio" # decoded from base64 + # Should update internal audio tracking state + assert model._current_item_id == "item_456" - # Should update internal audio tracking state - assert model._current_item_id == "item_456" - assert model._current_audio_content_index == 0 - assert model._audio_start_time == mock_now + # Test that audio state is tracked in the tracker + audio_state = model._audio_state_tracker.get_state("item_456", 0) + assert audio_state is not None + assert audio_state.audio_length_ms > 0 # Should have some audio length @pytest.mark.asyncio async def test_handle_error_event_success(self, model): @@ -319,6 +320,9 @@ async def test_audio_timing_calculation_accuracy(self, model): mock_listener = AsyncMock() model.add_listener(mock_listener) + # Set up audio format on the tracker before testing + model._audio_state_tracker.set_audio_format("pcm16") + # Send multiple audio deltas to test cumulative timing audio_deltas = [ { @@ -344,21 +348,34 @@ async def test_audio_timing_calculation_accuracy(self, model): for event in audio_deltas: await model._handle_ws_event(event) - # Should accumulate audio length: 8 bytes / 24 / 2 = ~0.167ms per byte - # Total: 8 bytes / 24 / 2 = 0.167ms - expected_length = 8 / 24 / 2 - assert abs(model._audio_length_ms - expected_length) < 0.001 + # Should accumulate audio length: 8 bytes / 24 / 2 * 1000 = milliseconds + # Total: 8 bytes / 24 / 2 * 1000 + expected_length = (8 / 24 / 2) * 1000 + + # Test through the actual audio state tracker + audio_state = model._audio_state_tracker.get_state("item_1", 0) + assert audio_state is not None + assert abs(audio_state.audio_length_ms - expected_length) < 0.001 def test_calculate_audio_length_ms_pure_function(self, model): """Test the pure audio length calculation function.""" - # Test various audio buffer sizes - assert model._calculate_audio_length_ms(b"test") == 4 / 24 / 2 # 4 bytes - assert model._calculate_audio_length_ms(b"") == 0 # empty - assert model._calculate_audio_length_ms(b"a" * 48) == 1.0 # exactly 1ms worth + from agents.realtime._util import calculate_audio_length_ms + + # Test various audio buffer sizes for pcm16 format + assert calculate_audio_length_ms("pcm16", b"test") == (4 / 24 / 2) * 1000 # 4 bytes + assert calculate_audio_length_ms("pcm16", b"") == 0 # empty + assert calculate_audio_length_ms("pcm16", b"a" * 48) == 1000.0 # exactly 1000ms worth + + # Test g711 format + assert calculate_audio_length_ms("g711_ulaw", b"test") == (4 / 8000) * 1000 # 4 bytes + assert calculate_audio_length_ms("g711_alaw", b"a" * 8) == (8 / 8000) * 1000 # 8 bytes @pytest.mark.asyncio async def test_handle_audio_delta_state_management(self, model): """Test that _handle_audio_delta properly manages internal state.""" + # Set up audio format on the tracker before testing + model._audio_state_tracker.set_audio_format("pcm16") + # Create mock parsed event mock_parsed = Mock() mock_parsed.content_index = 5 @@ -366,14 +383,16 @@ async def test_handle_audio_delta_state_management(self, model): mock_parsed.delta = "dGVzdA==" # "test" in base64 mock_parsed.response_id = "resp_123" - with patch("agents.realtime.openai_realtime.datetime") as mock_datetime: - mock_now = datetime(2024, 1, 1, 12, 0, 0) - mock_datetime.now.return_value = mock_now + await model._handle_audio_delta(mock_parsed) + + # Check state was updated correctly + assert model._current_item_id == "test_item" - await model._handle_audio_delta(mock_parsed) + # Test that audio state is tracked correctly + audio_state = model._audio_state_tracker.get_state("test_item", 5) + assert audio_state is not None + assert audio_state.audio_length_ms == (4 / 24 / 2) * 1000 # 4 bytes in milliseconds - # Check state was updated correctly - assert model._current_audio_content_index == 5 - assert model._current_item_id == "test_item" - assert model._audio_start_time == mock_now - assert model._audio_length_ms == 4 / 24 / 2 # 4 bytes + # Test that last audio item is tracked + last_item = model._audio_state_tracker.get_last_audio_item() + assert last_item == ("test_item", 5) diff --git a/tests/realtime/test_playback_tracker.py b/tests/realtime/test_playback_tracker.py new file mode 100644 index 000000000..c0bfba468 --- /dev/null +++ b/tests/realtime/test_playback_tracker.py @@ -0,0 +1,112 @@ +from unittest.mock import AsyncMock + +import pytest + +from agents.realtime._default_tracker import ModelAudioTracker +from agents.realtime.model import RealtimePlaybackTracker +from agents.realtime.model_inputs import RealtimeModelSendInterrupt +from agents.realtime.openai_realtime import OpenAIRealtimeWebSocketModel + + +class TestPlaybackTracker: + """Test playback tracker functionality for interrupt timing.""" + + @pytest.fixture + def model(self): + """Create a fresh model instance for each test.""" + return OpenAIRealtimeWebSocketModel() + + @pytest.mark.asyncio + async def test_interrupt_timing_with_custom_playback_tracker(self, model): + """Test interrupt uses custom playback tracker elapsed time instead of default timing.""" + + # Create custom tracker and set elapsed time + custom_tracker = RealtimePlaybackTracker() + custom_tracker.set_audio_format("pcm16") + custom_tracker.on_play_ms("item_1", 1, 500.0) # content_index 1, 500ms played + + # Set up model with custom tracker directly + model._playback_tracker = custom_tracker + + # Mock send_raw_message to capture interrupt + model._send_raw_message = AsyncMock() + + # Send interrupt + + await model._send_interrupt(RealtimeModelSendInterrupt()) + + # Should use custom tracker's 500ms elapsed time + model._send_raw_message.assert_called_once() + call_args = model._send_raw_message.call_args[0][0] + assert call_args.audio_end_ms == 500 + + @pytest.mark.asyncio + async def test_interrupt_skipped_when_no_audio_playing(self, model): + """Test interrupt returns early when no audio is currently playing.""" + model._send_raw_message = AsyncMock() + + # No audio playing (default state) + + await model._send_interrupt(RealtimeModelSendInterrupt()) + + # Should not send any interrupt message + model._send_raw_message.assert_not_called() + + def test_audio_state_accumulation_across_deltas(self): + """Test ModelAudioTracker accumulates audio length across multiple deltas.""" + + tracker = ModelAudioTracker() + tracker.set_audio_format("pcm16") + + # Send multiple deltas for same item + tracker.on_audio_delta("item_1", 0, b"test") # 4 bytes + tracker.on_audio_delta("item_1", 0, b"more") # 4 bytes + + state = tracker.get_state("item_1", 0) + assert state is not None + # Should accumulate: 8 bytes / 24 / 2 * 1000 = 166.67ms + expected_length = (8 / 24 / 2) * 1000 + assert abs(state.audio_length_ms - expected_length) < 0.01 + + def test_state_cleanup_on_interruption(self): + """Test both trackers properly reset state on interruption.""" + + # Test ModelAudioTracker cleanup + model_tracker = ModelAudioTracker() + model_tracker.set_audio_format("pcm16") + model_tracker.on_audio_delta("item_1", 0, b"test") + assert model_tracker.get_last_audio_item() == ("item_1", 0) + + model_tracker.on_interrupted() + assert model_tracker.get_last_audio_item() is None + + # Test RealtimePlaybackTracker cleanup + playback_tracker = RealtimePlaybackTracker() + playback_tracker.on_play_ms("item_1", 0, 100.0) + + state = playback_tracker.get_state() + assert state["current_item_id"] == "item_1" + assert state["elapsed_ms"] == 100.0 + + playback_tracker.on_interrupted() + state = playback_tracker.get_state() + assert state["current_item_id"] is None + assert state["elapsed_ms"] is None + + def test_audio_length_calculation_with_different_formats(self): + """Test calculate_audio_length_ms handles g711 and PCM formats correctly.""" + from agents.realtime._util import calculate_audio_length_ms + + # Test g711 format (8kHz) + g711_bytes = b"12345678" # 8 bytes + g711_length = calculate_audio_length_ms("g711_ulaw", g711_bytes) + assert g711_length == 1 # (8 / 8000) * 1000 + + # Test PCM format (24kHz, default) + pcm_bytes = b"test" # 4 bytes + pcm_length = calculate_audio_length_ms("pcm16", pcm_bytes) + assert pcm_length == (4 / 24 / 2) * 1000 # ~83.33ms + + # Test None format (defaults to PCM) + none_length = calculate_audio_length_ms(None, pcm_bytes) + assert none_length == pcm_length From 89fb86ce67ffa2f3378f2bb7768884537f259ab4 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 25 Jul 2025 13:38:18 -0400 Subject: [PATCH 286/337] Realtime: only cancel response if necessary --- src/agents/realtime/openai_realtime.py | 20 +++++++++++++++++++- 1 file changed, 19 insertions(+), 1 deletion(-) diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 2e950b0a1..01a246ad2 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -140,6 +140,7 @@ def __init__(self) -> None: self._ongoing_response: bool = False self._tracing_config: RealtimeModelTracingConfig | Literal["auto"] | None = None self._playback_tracker: RealtimePlaybackTracker | None = None + self._created_session: OpenAISessionObject | None = None async def connect(self, options: RealtimeModelConfig) -> None: """Establish a connection to the model and keep it alive.""" @@ -349,7 +350,14 @@ async def _send_interrupt(self, event: RealtimeModelSendInterrupt) -> None: int(elapsed_ms), ) await self._send_raw_message(converted) - await self._cancel_response() + + automatic_response_cancellation_enabled = ( + self._created_session + and self._created_session.turn_detection + and self._created_session.turn_detection.interrupt_response + ) + if not automatic_response_cancellation_enabled: + await self._cancel_response() self._audio_state_tracker.on_interrupted() if self._playback_tracker: @@ -483,6 +491,9 @@ async def _handle_ws_event(self, event: dict[str, Any]): await self._emit_event(RealtimeModelTurnEndedEvent()) elif parsed.type == "session.created": await self._send_tracing_config(self._tracing_config) + self._update_created_session(parsed.session) # type: ignore + elif parsed.type == "session.updated": + self._update_created_session(parsed.session) # type: ignore elif parsed.type == "error": await self._emit_event(RealtimeModelErrorEvent(error=parsed.error)) elif parsed.type == "conversation.item.deleted": @@ -532,6 +543,13 @@ async def _handle_ws_event(self, event: dict[str, Any]): ): await self._handle_output_item(parsed.item) + def _update_created_session(self, session: OpenAISessionObject) -> None: + self._created_session = session + if session.output_audio_format: + self._audio_state_tracker.set_audio_format(session.output_audio_format) + if self._playback_tracker: + self._playback_tracker.set_audio_format(session.output_audio_format) + async def _update_session_config(self, model_settings: RealtimeSessionModelSettings) -> None: session_config = self._get_session_config(model_settings) await self._send_raw_message( From 18f52ee8b20185c3e0b31c64e5fc6a116a703f72 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 25 Jul 2025 13:38:18 -0400 Subject: [PATCH 287/337] Realtime: twilio example --- docs/scripts/generate_ref_files.py | 2 + examples/realtime/twilio/README.md | 86 +++++++ examples/realtime/twilio/__init__.py | 0 examples/realtime/twilio/requirements.txt | 4 + examples/realtime/twilio/server.py | 80 +++++++ examples/realtime/twilio/twilio_handler.py | 264 +++++++++++++++++++++ 6 files changed, 436 insertions(+) create mode 100644 examples/realtime/twilio/README.md create mode 100644 examples/realtime/twilio/__init__.py create mode 100644 examples/realtime/twilio/requirements.txt create mode 100644 examples/realtime/twilio/server.py create mode 100644 examples/realtime/twilio/twilio_handler.py diff --git a/docs/scripts/generate_ref_files.py b/docs/scripts/generate_ref_files.py index 9deef7528..84ecdf148 100644 --- a/docs/scripts/generate_ref_files.py +++ b/docs/scripts/generate_ref_files.py @@ -31,6 +31,7 @@ def md_target(py_path: Path) -> Path: rel = py_path.relative_to(SRC_ROOT).with_suffix(".md") return DOCS_ROOT / rel + def pretty_title(last_segment: str) -> str: """ Convert a module/file segment like 'tool_context' to 'Tool Context'. @@ -39,6 +40,7 @@ def pretty_title(last_segment: str) -> str: cleaned = last_segment.replace("_", " ").replace("-", " ") return capwords(cleaned) + # ---- Main ------------------------------------------------------------ diff --git a/examples/realtime/twilio/README.md b/examples/realtime/twilio/README.md new file mode 100644 index 000000000..e031f5e49 --- /dev/null +++ b/examples/realtime/twilio/README.md @@ -0,0 +1,86 @@ +# Realtime Twilio Integration + +This example demonstrates how to connect the OpenAI Realtime API to a phone call using Twilio's Media Streams. The server handles incoming phone calls and streams audio between Twilio and the OpenAI Realtime API, enabling real-time voice conversations with an AI agent over the phone. + +## Prerequisites + +- Python 3.9+ +- OpenAI API key with Realtime API access +- Twilio account with a phone number +- A tunneling service like ngrok to expose your local server + +## Setup + +1. **Start the server:** + + ```bash + uv run server.py + ``` + + The server will start on port 8000 by default. + +2. **Expose the server publicly, e.g. via ngrok:** + + ```bash + ngrok http 8000 + ``` + + Note the public URL (e.g., `https://abc123.ngrok.io`) + +3. **Configure your Twilio phone number:** + - Log into your Twilio Console + - Select your phone number + - Set the webhook URL for incoming calls to: `https://your-ngrok-url.ngrok.io/incoming-call` + - Set the HTTP method to POST + +## Usage + +1. Call your Twilio phone number +2. You'll hear: "Hello! You're now connected to an AI assistant. You can start talking!" +3. Start speaking - the AI will respond in real-time +4. The assistant has access to tools like weather information and current time + +## How It Works + +1. **Incoming Call**: When someone calls your Twilio number, Twilio makes a request to `/incoming-call` +2. **TwiML Response**: The server returns TwiML that: + - Plays a greeting message + - Connects the call to a WebSocket stream at `/media-stream` +3. **WebSocket Connection**: Twilio establishes a WebSocket connection for bidirectional audio streaming +4. **Transport Layer**: The `TwilioRealtimeTransportLayer` class owns the WebSocket message handling: + - Takes ownership of the Twilio WebSocket after initial handshake + - Runs its own message loop to process all Twilio messages + - Handles protocol differences between Twilio and OpenAI + - Automatically sets G.711 μ-law audio format for Twilio compatibility + - Manages audio chunk tracking for interruption support + - Wraps the OpenAI realtime model instead of subclassing it +5. **Audio Processing**: + - Audio from the caller is base64 decoded and sent to OpenAI Realtime API + - Audio responses from OpenAI are base64 encoded and sent back to Twilio + - Twilio plays the audio to the caller + +## Configuration + +- **Port**: Set `PORT` environment variable (default: 8000) +- **OpenAI API Key**: Set `OPENAI_API_KEY` environment variable +- **Agent Instructions**: Modify the `RealtimeAgent` configuration in `server.py` +- **Tools**: Add or modify function tools in `server.py` + +## Troubleshooting + +- **WebSocket connection issues**: Ensure your ngrok URL is correct and publicly accessible +- **Audio quality**: Twilio streams audio in mulaw format at 8kHz, which may affect quality +- **Latency**: Network latency between Twilio, your server, and OpenAI affects response time +- **Logs**: Check the console output for detailed connection and error logs + +## Architecture + +``` +Phone Call → Twilio → WebSocket → TwilioRealtimeTransportLayer → OpenAI Realtime API + ↓ + RealtimeAgent with Tools + ↓ + Audio Response → Twilio → Phone Call +``` + +The `TwilioRealtimeTransportLayer` acts as a bridge between Twilio's Media Streams and OpenAI's Realtime API, handling the protocol differences and audio format conversions. It wraps the OpenAI realtime model to provide a clean interface for Twilio integration. diff --git a/examples/realtime/twilio/__init__.py b/examples/realtime/twilio/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/examples/realtime/twilio/requirements.txt b/examples/realtime/twilio/requirements.txt new file mode 100644 index 000000000..8fc858c40 --- /dev/null +++ b/examples/realtime/twilio/requirements.txt @@ -0,0 +1,4 @@ +fastapi +uvicorn[standard] +websockets +python-dotenv \ No newline at end of file diff --git a/examples/realtime/twilio/server.py b/examples/realtime/twilio/server.py new file mode 100644 index 000000000..8a753f789 --- /dev/null +++ b/examples/realtime/twilio/server.py @@ -0,0 +1,80 @@ +import os +from typing import TYPE_CHECKING + +from fastapi import FastAPI, Request, WebSocket, WebSocketDisconnect +from fastapi.responses import PlainTextResponse + +# Import TwilioHandler class - handle both module and package use cases +if TYPE_CHECKING: + # For type checking, use the relative import + from .twilio_handler import TwilioHandler +else: + # At runtime, try both import styles + try: + # Try relative import first (when used as a package) + from .twilio_handler import TwilioHandler + except ImportError: + # Fall back to direct import (when run as a script) + from twilio_handler import TwilioHandler + + +class TwilioWebSocketManager: + def __init__(self): + self.active_handlers: dict[str, TwilioHandler] = {} + + async def new_session(self, websocket: WebSocket) -> TwilioHandler: + """Create and configure a new session.""" + print("Creating twilio handler") + + handler = TwilioHandler(websocket) + return handler + + # In a real app, you'd also want to clean up/close the handler when the call ends + + +manager = TwilioWebSocketManager() +app = FastAPI() + + +@app.get("/") +async def root(): + return {"message": "Twilio Media Stream Server is running!"} + + +@app.post("/incoming-call") +@app.get("/incoming-call") +async def incoming_call(request: Request): + """Handle incoming Twilio phone calls""" + host = request.headers.get("Host") + + twiml_response = f""" + + Hello! You're now connected to an AI assistant. You can start talking! + + + +""" + return PlainTextResponse(content=twiml_response, media_type="text/xml") + + +@app.websocket("/media-stream") +async def media_stream_endpoint(websocket: WebSocket): + """WebSocket endpoint for Twilio Media Streams""" + + try: + handler = await manager.new_session(websocket) + await handler.start() + + await handler.wait_until_done() + + except WebSocketDisconnect: + print("WebSocket disconnected") + except Exception as e: + print(f"WebSocket error: {e}") + + +if __name__ == "__main__": + import uvicorn + + port = int(os.getenv("PORT", 8000)) + uvicorn.run(app, host="0.0.0.0", port=port) diff --git a/examples/realtime/twilio/twilio_handler.py b/examples/realtime/twilio/twilio_handler.py new file mode 100644 index 000000000..567015dfc --- /dev/null +++ b/examples/realtime/twilio/twilio_handler.py @@ -0,0 +1,264 @@ +from __future__ import annotations + +import asyncio +import base64 +import json +import os +import time +from datetime import datetime +from typing import Any + +from fastapi import WebSocket + +from agents import function_tool +from agents.realtime import ( + RealtimeAgent, + RealtimePlaybackTracker, + RealtimeRunner, + RealtimeSession, + RealtimeSessionEvent, +) + + +@function_tool +def get_weather(city: str) -> str: + """Get the weather in a city.""" + return f"The weather in {city} is sunny." + + +@function_tool +def get_current_time() -> str: + """Get the current time.""" + return f"The current time is {datetime.now().strftime('%H:%M:%S')}" + + +agent = RealtimeAgent( + name="Twilio Assistant", + instructions="You are a helpful assistant that starts every conversation with a creative greeting. Keep responses concise and friendly since this is a phone conversation.", + tools=[get_weather, get_current_time], +) + + +class TwilioHandler: + def __init__(self, twilio_websocket: WebSocket): + self.twilio_websocket = twilio_websocket + self._message_loop_task: asyncio.Task[None] | None = None + self.session: RealtimeSession | None = None + self.playback_tracker = RealtimePlaybackTracker() + + # Audio buffering configuration (matching CLI demo) + self.CHUNK_LENGTH_S = 0.05 # 50ms chunks like CLI demo + self.SAMPLE_RATE = 8000 # Twilio uses 8kHz for g711_ulaw + self.BUFFER_SIZE_BYTES = int(self.SAMPLE_RATE * self.CHUNK_LENGTH_S) # 50ms worth of audio + + self._stream_sid: str | None = None + self._audio_buffer: bytearray = bytearray() + self._last_buffer_send_time = time.time() + + # Mark event tracking for playback + self._mark_counter = 0 + self._mark_data: dict[ + str, tuple[str, int, int] + ] = {} # mark_id -> (item_id, content_index, byte_count) + + async def start(self) -> None: + """Start the session.""" + runner = RealtimeRunner(agent) + api_key = os.getenv("OPENAI_API_KEY") + if not api_key: + raise ValueError("OPENAI_API_KEY environment variable is required") + + self.session = await runner.run( + model_config={ + "api_key": api_key, + "initial_model_settings": { + "input_audio_format": "g711_ulaw", + "output_audio_format": "g711_ulaw", + "turn_detection": { + "type": "semantic_vad", + "interrupt_response": True, + "create_response": True, + }, + }, + "playback_tracker": self.playback_tracker, + } + ) + + await self.session.enter() + + await self.twilio_websocket.accept() + print("Twilio WebSocket connection accepted") + + self._realtime_session_task = asyncio.create_task(self._realtime_session_loop()) + self._message_loop_task = asyncio.create_task(self._twilio_message_loop()) + self._buffer_flush_task = asyncio.create_task(self._buffer_flush_loop()) + + async def wait_until_done(self) -> None: + """Wait until the session is done.""" + assert self._message_loop_task is not None + await self._message_loop_task + + async def _realtime_session_loop(self) -> None: + """Listen for events from the realtime session.""" + assert self.session is not None + try: + async for event in self.session: + await self._handle_realtime_event(event) + except Exception as e: + print(f"Error in realtime session loop: {e}") + + async def _twilio_message_loop(self) -> None: + """Listen for messages from Twilio WebSocket and handle them.""" + try: + while True: + message_text = await self.twilio_websocket.receive_text() + message = json.loads(message_text) + await self._handle_twilio_message(message) + except json.JSONDecodeError as e: + print(f"Failed to parse Twilio message as JSON: {e}") + except Exception as e: + print(f"Error in Twilio message loop: {e}") + + async def _handle_realtime_event(self, event: RealtimeSessionEvent) -> None: + """Handle events from the realtime session.""" + if event.type == "audio": + base64_audio = base64.b64encode(event.audio.data).decode("utf-8") + await self.twilio_websocket.send_text( + json.dumps( + { + "event": "media", + "streamSid": self._stream_sid, + "media": {"payload": base64_audio}, + } + ) + ) + + # Send mark event for playback tracking + self._mark_counter += 1 + mark_id = str(self._mark_counter) + self._mark_data[mark_id] = ( + event.audio.item_id, + event.audio.content_index, + len(event.audio.data), + ) + + await self.twilio_websocket.send_text( + json.dumps( + { + "event": "mark", + "streamSid": self._stream_sid, + "mark": {"name": mark_id}, + } + ) + ) + + elif event.type == "audio_interrupted": + print("Sending audio interrupted to Twilio") + await self.twilio_websocket.send_text( + json.dumps({"event": "clear", "streamSid": self._stream_sid}) + ) + elif event.type == "audio_end": + print("Audio end") + elif event.type == "raw_model_event": + pass + else: + pass + + async def _handle_twilio_message(self, message: dict[str, Any]) -> None: + """Handle incoming messages from Twilio Media Stream.""" + try: + event = message.get("event") + + if event == "connected": + print("Twilio media stream connected") + elif event == "start": + start_data = message.get("start", {}) + self._stream_sid = start_data.get("streamSid") + print(f"Media stream started with SID: {self._stream_sid}") + elif event == "media": + await self._handle_media_event(message) + elif event == "mark": + await self._handle_mark_event(message) + elif event == "stop": + print("Media stream stopped") + except Exception as e: + print(f"Error handling Twilio message: {e}") + + async def _handle_media_event(self, message: dict[str, Any]) -> None: + """Handle audio data from Twilio - buffer it before sending to OpenAI.""" + media = message.get("media", {}) + payload = media.get("payload", "") + + if payload: + try: + # Decode base64 audio from Twilio (µ-law format) + ulaw_bytes = base64.b64decode(payload) + + # Add original µ-law to buffer for OpenAI (they expect µ-law) + self._audio_buffer.extend(ulaw_bytes) + + # Send buffered audio if we have enough data + if len(self._audio_buffer) >= self.BUFFER_SIZE_BYTES: + await self._flush_audio_buffer() + + except Exception as e: + print(f"Error processing audio from Twilio: {e}") + + async def _handle_mark_event(self, message: dict[str, Any]) -> None: + """Handle mark events from Twilio to update playback tracker.""" + try: + mark_data = message.get("mark", {}) + mark_id = mark_data.get("name", "") + + # Look up stored data for this mark ID + if mark_id in self._mark_data: + item_id, item_content_index, byte_count = self._mark_data[mark_id] + + # Convert byte count back to bytes for playback tracker + audio_bytes = b"\x00" * byte_count # Placeholder bytes + + # Update playback tracker + self.playback_tracker.on_play_bytes(item_id, item_content_index, audio_bytes) + print( + f"Playback tracker updated: {item_id}, index {item_content_index}, {byte_count} bytes" + ) + + # Clean up the stored data + del self._mark_data[mark_id] + + except Exception as e: + print(f"Error handling mark event: {e}") + + async def _flush_audio_buffer(self) -> None: + """Send buffered audio to OpenAI.""" + if not self._audio_buffer or not self.session: + return + + try: + # Send the buffered audio + buffer_data = bytes(self._audio_buffer) + await self.session.send_audio(buffer_data) + + # Clear the buffer + self._audio_buffer.clear() + self._last_buffer_send_time = time.time() + + except Exception as e: + print(f"Error sending buffered audio to OpenAI: {e}") + + async def _buffer_flush_loop(self) -> None: + """Periodically flush audio buffer to prevent stale data.""" + try: + while True: + await asyncio.sleep(self.CHUNK_LENGTH_S) # Check every 50ms + + # If buffer has data and it's been too long since last send, flush it + current_time = time.time() + if ( + self._audio_buffer + and current_time - self._last_buffer_send_time > self.CHUNK_LENGTH_S * 2 + ): + await self._flush_audio_buffer() + + except Exception as e: + print(f"Error in buffer flush loop: {e}") From 0dee7f9d009a1f7e76a86b8be535ac91972e387e Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 25 Jul 2025 13:38:18 -0400 Subject: [PATCH 288/337] Realtime: enable a playback tracker --- src/agents/realtime/__init__.py | 4 + src/agents/realtime/_default_tracker.py | 47 +++++++++ src/agents/realtime/_util.py | 9 ++ src/agents/realtime/model.py | 94 ++++++++++++++++++ src/agents/realtime/openai_realtime.py | 82 ++++++++++------ tests/realtime/test_agent.py | 2 + tests/realtime/test_conversion_helpers.py | 2 + tests/realtime/test_openai_realtime.py | 83 +++++++++------- tests/realtime/test_playback_tracker.py | 112 ++++++++++++++++++++++ 9 files changed, 376 insertions(+), 59 deletions(-) create mode 100644 src/agents/realtime/_default_tracker.py create mode 100644 src/agents/realtime/_util.py create mode 100644 tests/realtime/test_playback_tracker.py diff --git a/src/agents/realtime/__init__.py b/src/agents/realtime/__init__.py index 49c131389..7675c466f 100644 --- a/src/agents/realtime/__init__.py +++ b/src/agents/realtime/__init__.py @@ -47,6 +47,8 @@ RealtimeModel, RealtimeModelConfig, RealtimeModelListener, + RealtimePlaybackState, + RealtimePlaybackTracker, ) from .model_events import ( RealtimeConnectionStatus, @@ -139,6 +141,8 @@ "RealtimeModel", "RealtimeModelConfig", "RealtimeModelListener", + "RealtimePlaybackTracker", + "RealtimePlaybackState", # Model Events "RealtimeConnectionStatus", "RealtimeModelAudioDoneEvent", diff --git a/src/agents/realtime/_default_tracker.py b/src/agents/realtime/_default_tracker.py new file mode 100644 index 000000000..d52d612ed --- /dev/null +++ b/src/agents/realtime/_default_tracker.py @@ -0,0 +1,47 @@ +from __future__ import annotations + +from dataclasses import dataclass +from datetime import datetime + +from ._util import calculate_audio_length_ms +from .config import RealtimeAudioFormat + + +@dataclass +class ModelAudioState: + initial_received_time: datetime + audio_length_ms: float + + +class ModelAudioTracker: + def __init__(self) -> None: + # (item_id, item_content_index) -> ModelAudioState + self._states: dict[tuple[str, int], ModelAudioState] = {} + self._last_audio_item: tuple[str, int] | None = None + + def set_audio_format(self, format: RealtimeAudioFormat) -> None: + """Called when the model wants to set the audio format.""" + self._format = format + + def on_audio_delta(self, item_id: str, item_content_index: int, bytes: bytes) -> None: + """Called when an audio delta is received from the model.""" + ms = calculate_audio_length_ms(self._format, bytes) + new_key = (item_id, item_content_index) + + self._last_audio_item = new_key + if new_key not in self._states: + self._states[new_key] = ModelAudioState(datetime.now(), ms) + else: + self._states[new_key].audio_length_ms += ms + + def on_interrupted(self) -> None: + """Called when the audio playback has been interrupted.""" + self._last_audio_item = None + + def get_state(self, item_id: str, item_content_index: int) -> ModelAudioState | None: + """Called when the model wants to get the current playback state.""" + return self._states.get((item_id, item_content_index)) + + def get_last_audio_item(self) -> tuple[str, int] | None: + """Called when the model wants to get the last audio item ID and content index.""" + return self._last_audio_item diff --git a/src/agents/realtime/_util.py b/src/agents/realtime/_util.py new file mode 100644 index 000000000..c52cda770 --- /dev/null +++ b/src/agents/realtime/_util.py @@ -0,0 +1,9 @@ +from __future__ import annotations + +from .config import RealtimeAudioFormat + + +def calculate_audio_length_ms(format: RealtimeAudioFormat | None, bytes: bytes) -> float: + if format and format.startswith("g711"): + return (len(bytes) / 8000) * 1000 + return (len(bytes) / 24 / 2) * 1000 diff --git a/src/agents/realtime/model.py b/src/agents/realtime/model.py index e279ecc95..d7ebe4ffa 100644 --- a/src/agents/realtime/model.py +++ b/src/agents/realtime/model.py @@ -6,13 +6,95 @@ from typing_extensions import NotRequired, TypedDict from ..util._types import MaybeAwaitable +from ._util import calculate_audio_length_ms from .config import ( + RealtimeAudioFormat, RealtimeSessionModelSettings, ) from .model_events import RealtimeModelEvent from .model_inputs import RealtimeModelSendEvent +class RealtimePlaybackState(TypedDict): + current_item_id: str | None + """The item ID of the current item being played.""" + + current_item_content_index: int | None + """The index of the current item content being played.""" + + elapsed_ms: float | None + """The number of milliseconds of audio that have been played.""" + + +class RealtimePlaybackTracker: + """If you have custom playback logic or expect that audio is played with delays or at different + speeds, create an instance of RealtimePlaybackTracker and pass it to the session. You are + responsible for tracking the audio playback progress and calling `on_play_bytes` or + `on_play_ms` when the user has played some audio.""" + + def __init__(self) -> None: + self._format: RealtimeAudioFormat | None = None + # (item_id, item_content_index) + self._current_item: tuple[str, int] | None = None + self._elapsed_ms: float | None = None + + def on_play_bytes(self, item_id: str, item_content_index: int, bytes: bytes) -> None: + """Called by you when you have played some audio. + + Args: + item_id: The item ID of the audio being played. + item_content_index: The index of the audio content in `item.content` + bytes: The audio bytes that have been fully played. + """ + ms = calculate_audio_length_ms(self._format, bytes) + self.on_play_ms(item_id, item_content_index, ms) + + def on_play_ms(self, item_id: str, item_content_index: int, ms: float) -> None: + """Called by you when you have played some audio. + + Args: + item_id: The item ID of the audio being played. + item_content_index: The index of the audio content in `item.content` + ms: The number of milliseconds of audio that have been played. + """ + if self._current_item != (item_id, item_content_index): + self._current_item = (item_id, item_content_index) + self._elapsed_ms = ms + else: + assert self._elapsed_ms is not None + self._elapsed_ms += ms + + def on_interrupted(self) -> None: + """Called by the model when the audio playback has been interrupted.""" + self._current_item = None + self._elapsed_ms = None + + def set_audio_format(self, format: RealtimeAudioFormat) -> None: + """Will be called by the model to set the audio format. + + Args: + format: The audio format to use. + """ + self._format = format + + def get_state(self) -> RealtimePlaybackState: + """Will be called by the model to get the current playback state.""" + if self._current_item is None: + return { + "current_item_id": None, + "current_item_content_index": None, + "elapsed_ms": None, + } + assert self._elapsed_ms is not None + + item_id, item_content_index = self._current_item + return { + "current_item_id": item_id, + "current_item_content_index": item_content_index, + "elapsed_ms": self._elapsed_ms, + } + + class RealtimeModelListener(abc.ABC): """A listener for realtime transport events.""" @@ -39,6 +121,18 @@ class RealtimeModelConfig(TypedDict): initial_model_settings: NotRequired[RealtimeSessionModelSettings] """The initial model settings to use when connecting.""" + playback_tracker: NotRequired[RealtimePlaybackTracker] + """The playback tracker to use when tracking audio playback progress. If not set, the model will + use a default implementation that assumes audio is played immediately, at realtime speed. + + A playback tracker is useful for interruptions. The model generates audio much faster than + realtime playback speed. So if there's an interruption, its useful for the model to know how + much of the audio has been played by the user. In low-latency scenarios, it's fine to assume + that audio is played back immediately at realtime speed. But in scenarios like phone calls or + other remote interactions, you can set a playback tracker that lets the model know when audio + is played to the user. + """ + class RealtimeModel(abc.ABC): """Interface for connecting to a realtime model and sending/receiving events.""" diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index ab9408dfe..2e950b0a1 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -57,6 +57,7 @@ from websockets.asyncio.client import ClientConnection from agents.handoffs import Handoff +from agents.realtime._default_tracker import ModelAudioTracker from agents.tool import FunctionTool, Tool from agents.util._types import MaybeAwaitable @@ -72,6 +73,8 @@ RealtimeModel, RealtimeModelConfig, RealtimeModelListener, + RealtimePlaybackState, + RealtimePlaybackTracker, ) from .model_events import ( RealtimeModelAudioDoneEvent, @@ -133,11 +136,10 @@ def __init__(self) -> None: self._websocket_task: asyncio.Task[None] | None = None self._listeners: list[RealtimeModelListener] = [] self._current_item_id: str | None = None - self._audio_start_time: datetime | None = None - self._audio_length_ms: float = 0.0 + self._audio_state_tracker: ModelAudioTracker = ModelAudioTracker() self._ongoing_response: bool = False - self._current_audio_content_index: int | None = None self._tracing_config: RealtimeModelTracingConfig | Literal["auto"] | None = None + self._playback_tracker: RealtimePlaybackTracker | None = None async def connect(self, options: RealtimeModelConfig) -> None: """Establish a connection to the model and keep it alive.""" @@ -146,6 +148,8 @@ async def connect(self, options: RealtimeModelConfig) -> None: model_settings: RealtimeSessionModelSettings = options.get("initial_model_settings", {}) + self._playback_tracker = options.get("playback_tracker", RealtimePlaybackTracker()) + self.model = model_settings.get("model_name", self.model) api_key = await get_api_key(options.get("api_key")) @@ -294,31 +298,62 @@ async def _send_tool_output(self, event: RealtimeModelSendToolOutput) -> None: if event.start_response: await self._send_raw_message(OpenAIResponseCreateEvent(type="response.create")) + def _get_playback_state(self) -> RealtimePlaybackState: + if self._playback_tracker: + return self._playback_tracker.get_state() + + if last_audio_item_id := self._audio_state_tracker.get_last_audio_item(): + item_id, item_content_index = last_audio_item_id + audio_state = self._audio_state_tracker.get_state(item_id, item_content_index) + if audio_state: + elapsed_ms = ( + datetime.now() - audio_state.initial_received_time + ).total_seconds() * 1000 + return { + "current_item_id": item_id, + "current_item_content_index": item_content_index, + "elapsed_ms": elapsed_ms, + } + + return { + "current_item_id": None, + "current_item_content_index": None, + "elapsed_ms": None, + } + async def _send_interrupt(self, event: RealtimeModelSendInterrupt) -> None: - if not self._current_item_id or not self._audio_start_time: + playback_state = self._get_playback_state() + current_item_id = playback_state.get("current_item_id") + current_item_content_index = playback_state.get("current_item_content_index") + elapsed_ms = playback_state.get("elapsed_ms") + if current_item_id is None or elapsed_ms is None: + logger.info( + "Skipping interrupt. " + f"Item id: {current_item_id}, " + f"elapsed ms: {elapsed_ms}, " + f"content index: {current_item_content_index}" + ) return - await self._cancel_response() - - elapsed_time_ms = (datetime.now() - self._audio_start_time).total_seconds() * 1000 - if elapsed_time_ms > 0 and elapsed_time_ms < self._audio_length_ms: + current_item_content_index = current_item_content_index or 0 + if elapsed_ms > 0: await self._emit_event( RealtimeModelAudioInterruptedEvent( - item_id=self._current_item_id, - content_index=self._current_audio_content_index or 0, + item_id=current_item_id, + content_index=current_item_content_index, ) ) converted = _ConversionHelper.convert_interrupt( - self._current_item_id, - self._current_audio_content_index or 0, - int(elapsed_time_ms), + current_item_id, + current_item_content_index, + int(elapsed_ms), ) await self._send_raw_message(converted) + await self._cancel_response() - self._current_item_id = None - self._audio_start_time = None - self._audio_length_ms = 0.0 - self._current_audio_content_index = None + self._audio_state_tracker.on_interrupted() + if self._playback_tracker: + self._playback_tracker.on_interrupted() async def _send_session_update(self, event: RealtimeModelSendSessionUpdate) -> None: """Send a session update to the model.""" @@ -326,15 +361,12 @@ async def _send_session_update(self, event: RealtimeModelSendSessionUpdate) -> N async def _handle_audio_delta(self, parsed: ResponseAudioDeltaEvent) -> None: """Handle audio delta events and update audio tracking state.""" - self._current_audio_content_index = parsed.content_index self._current_item_id = parsed.item_id - if self._audio_start_time is None: - self._audio_start_time = datetime.now() - self._audio_length_ms = 0.0 audio_bytes = base64.b64decode(parsed.delta) - # Calculate audio length in ms using 24KHz pcm16le - self._audio_length_ms += self._calculate_audio_length_ms(audio_bytes) + + self._audio_state_tracker.on_audio_delta(parsed.item_id, parsed.content_index, audio_bytes) + await self._emit_event( RealtimeModelAudioEvent( data=audio_bytes, @@ -344,10 +376,6 @@ async def _handle_audio_delta(self, parsed: ResponseAudioDeltaEvent) -> None: ) ) - def _calculate_audio_length_ms(self, audio_bytes: bytes) -> float: - """Calculate audio length in milliseconds for 24KHz PCM16LE format.""" - return len(audio_bytes) / 24 / 2 - async def _handle_output_item(self, item: ConversationItem) -> None: """Handle response output item events (function calls and messages).""" if item.type == "function_call" and item.status == "completed": diff --git a/tests/realtime/test_agent.py b/tests/realtime/test_agent.py index aae8bc47c..7f1dc3ea3 100644 --- a/tests/realtime/test_agent.py +++ b/tests/realtime/test_agent.py @@ -1,3 +1,5 @@ +from __future__ import annotations + import pytest from agents import RunContextWrapper diff --git a/tests/realtime/test_conversion_helpers.py b/tests/realtime/test_conversion_helpers.py index 859813edd..2d84c8c49 100644 --- a/tests/realtime/test_conversion_helpers.py +++ b/tests/realtime/test_conversion_helpers.py @@ -1,3 +1,5 @@ +from __future__ import annotations + import base64 from unittest.mock import Mock diff --git a/tests/realtime/test_openai_realtime.py b/tests/realtime/test_openai_realtime.py index 5cb0eb0fa..704d95d40 100644 --- a/tests/realtime/test_openai_realtime.py +++ b/tests/realtime/test_openai_realtime.py @@ -1,4 +1,3 @@ -from datetime import datetime from typing import Any from unittest.mock import AsyncMock, Mock, patch @@ -226,6 +225,9 @@ async def test_handle_audio_delta_event_success(self, model): mock_listener = AsyncMock() model.add_listener(mock_listener) + # Set up audio format on the tracker before testing + model._audio_state_tracker.set_audio_format("pcm16") + # Valid audio delta event (minimal required fields for OpenAI spec) audio_event = { "type": "response.audio.delta", @@ -237,23 +239,22 @@ async def test_handle_audio_delta_event_success(self, model): "delta": "dGVzdCBhdWRpbw==", # base64 encoded "test audio" } - with patch("agents.realtime.openai_realtime.datetime") as mock_datetime: - mock_now = datetime(2024, 1, 1, 12, 0, 0) - mock_datetime.now.return_value = mock_now + await model._handle_ws_event(audio_event) - await model._handle_ws_event(audio_event) + # Should emit audio event to listeners + mock_listener.on_event.assert_called_once() + emitted_event = mock_listener.on_event.call_args[0][0] + assert isinstance(emitted_event, RealtimeModelAudioEvent) + assert emitted_event.response_id == "resp_123" + assert emitted_event.data == b"test audio" # decoded from base64 - # Should emit audio event to listeners - mock_listener.on_event.assert_called_once() - emitted_event = mock_listener.on_event.call_args[0][0] - assert isinstance(emitted_event, RealtimeModelAudioEvent) - assert emitted_event.response_id == "resp_123" - assert emitted_event.data == b"test audio" # decoded from base64 + # Should update internal audio tracking state + assert model._current_item_id == "item_456" - # Should update internal audio tracking state - assert model._current_item_id == "item_456" - assert model._current_audio_content_index == 0 - assert model._audio_start_time == mock_now + # Test that audio state is tracked in the tracker + audio_state = model._audio_state_tracker.get_state("item_456", 0) + assert audio_state is not None + assert audio_state.audio_length_ms > 0 # Should have some audio length @pytest.mark.asyncio async def test_handle_error_event_success(self, model): @@ -319,6 +320,9 @@ async def test_audio_timing_calculation_accuracy(self, model): mock_listener = AsyncMock() model.add_listener(mock_listener) + # Set up audio format on the tracker before testing + model._audio_state_tracker.set_audio_format("pcm16") + # Send multiple audio deltas to test cumulative timing audio_deltas = [ { @@ -344,21 +348,34 @@ async def test_audio_timing_calculation_accuracy(self, model): for event in audio_deltas: await model._handle_ws_event(event) - # Should accumulate audio length: 8 bytes / 24 / 2 = ~0.167ms per byte - # Total: 8 bytes / 24 / 2 = 0.167ms - expected_length = 8 / 24 / 2 - assert abs(model._audio_length_ms - expected_length) < 0.001 + # Should accumulate audio length: 8 bytes / 24 / 2 * 1000 = milliseconds + # Total: 8 bytes / 24 / 2 * 1000 + expected_length = (8 / 24 / 2) * 1000 + + # Test through the actual audio state tracker + audio_state = model._audio_state_tracker.get_state("item_1", 0) + assert audio_state is not None + assert abs(audio_state.audio_length_ms - expected_length) < 0.001 def test_calculate_audio_length_ms_pure_function(self, model): """Test the pure audio length calculation function.""" - # Test various audio buffer sizes - assert model._calculate_audio_length_ms(b"test") == 4 / 24 / 2 # 4 bytes - assert model._calculate_audio_length_ms(b"") == 0 # empty - assert model._calculate_audio_length_ms(b"a" * 48) == 1.0 # exactly 1ms worth + from agents.realtime._util import calculate_audio_length_ms + + # Test various audio buffer sizes for pcm16 format + assert calculate_audio_length_ms("pcm16", b"test") == (4 / 24 / 2) * 1000 # 4 bytes + assert calculate_audio_length_ms("pcm16", b"") == 0 # empty + assert calculate_audio_length_ms("pcm16", b"a" * 48) == 1000.0 # exactly 1000ms worth + + # Test g711 format + assert calculate_audio_length_ms("g711_ulaw", b"test") == (4 / 8000) * 1000 # 4 bytes + assert calculate_audio_length_ms("g711_alaw", b"a" * 8) == (8 / 8000) * 1000 # 8 bytes @pytest.mark.asyncio async def test_handle_audio_delta_state_management(self, model): """Test that _handle_audio_delta properly manages internal state.""" + # Set up audio format on the tracker before testing + model._audio_state_tracker.set_audio_format("pcm16") + # Create mock parsed event mock_parsed = Mock() mock_parsed.content_index = 5 @@ -366,14 +383,16 @@ async def test_handle_audio_delta_state_management(self, model): mock_parsed.delta = "dGVzdA==" # "test" in base64 mock_parsed.response_id = "resp_123" - with patch("agents.realtime.openai_realtime.datetime") as mock_datetime: - mock_now = datetime(2024, 1, 1, 12, 0, 0) - mock_datetime.now.return_value = mock_now + await model._handle_audio_delta(mock_parsed) + + # Check state was updated correctly + assert model._current_item_id == "test_item" - await model._handle_audio_delta(mock_parsed) + # Test that audio state is tracked correctly + audio_state = model._audio_state_tracker.get_state("test_item", 5) + assert audio_state is not None + assert audio_state.audio_length_ms == (4 / 24 / 2) * 1000 # 4 bytes in milliseconds - # Check state was updated correctly - assert model._current_audio_content_index == 5 - assert model._current_item_id == "test_item" - assert model._audio_start_time == mock_now - assert model._audio_length_ms == 4 / 24 / 2 # 4 bytes + # Test that last audio item is tracked + last_item = model._audio_state_tracker.get_last_audio_item() + assert last_item == ("test_item", 5) diff --git a/tests/realtime/test_playback_tracker.py b/tests/realtime/test_playback_tracker.py new file mode 100644 index 000000000..c0bfba468 --- /dev/null +++ b/tests/realtime/test_playback_tracker.py @@ -0,0 +1,112 @@ +from unittest.mock import AsyncMock + +import pytest + +from agents.realtime._default_tracker import ModelAudioTracker +from agents.realtime.model import RealtimePlaybackTracker +from agents.realtime.model_inputs import RealtimeModelSendInterrupt +from agents.realtime.openai_realtime import OpenAIRealtimeWebSocketModel + + +class TestPlaybackTracker: + """Test playback tracker functionality for interrupt timing.""" + + @pytest.fixture + def model(self): + """Create a fresh model instance for each test.""" + return OpenAIRealtimeWebSocketModel() + + @pytest.mark.asyncio + async def test_interrupt_timing_with_custom_playback_tracker(self, model): + """Test interrupt uses custom playback tracker elapsed time instead of default timing.""" + + # Create custom tracker and set elapsed time + custom_tracker = RealtimePlaybackTracker() + custom_tracker.set_audio_format("pcm16") + custom_tracker.on_play_ms("item_1", 1, 500.0) # content_index 1, 500ms played + + # Set up model with custom tracker directly + model._playback_tracker = custom_tracker + + # Mock send_raw_message to capture interrupt + model._send_raw_message = AsyncMock() + + # Send interrupt + + await model._send_interrupt(RealtimeModelSendInterrupt()) + + # Should use custom tracker's 500ms elapsed time + model._send_raw_message.assert_called_once() + call_args = model._send_raw_message.call_args[0][0] + assert call_args.audio_end_ms == 500 + + @pytest.mark.asyncio + async def test_interrupt_skipped_when_no_audio_playing(self, model): + """Test interrupt returns early when no audio is currently playing.""" + model._send_raw_message = AsyncMock() + + # No audio playing (default state) + + await model._send_interrupt(RealtimeModelSendInterrupt()) + + # Should not send any interrupt message + model._send_raw_message.assert_not_called() + + def test_audio_state_accumulation_across_deltas(self): + """Test ModelAudioTracker accumulates audio length across multiple deltas.""" + + tracker = ModelAudioTracker() + tracker.set_audio_format("pcm16") + + # Send multiple deltas for same item + tracker.on_audio_delta("item_1", 0, b"test") # 4 bytes + tracker.on_audio_delta("item_1", 0, b"more") # 4 bytes + + state = tracker.get_state("item_1", 0) + assert state is not None + # Should accumulate: 8 bytes / 24 / 2 * 1000 = 166.67ms + expected_length = (8 / 24 / 2) * 1000 + assert abs(state.audio_length_ms - expected_length) < 0.01 + + def test_state_cleanup_on_interruption(self): + """Test both trackers properly reset state on interruption.""" + + # Test ModelAudioTracker cleanup + model_tracker = ModelAudioTracker() + model_tracker.set_audio_format("pcm16") + model_tracker.on_audio_delta("item_1", 0, b"test") + assert model_tracker.get_last_audio_item() == ("item_1", 0) + + model_tracker.on_interrupted() + assert model_tracker.get_last_audio_item() is None + + # Test RealtimePlaybackTracker cleanup + playback_tracker = RealtimePlaybackTracker() + playback_tracker.on_play_ms("item_1", 0, 100.0) + + state = playback_tracker.get_state() + assert state["current_item_id"] == "item_1" + assert state["elapsed_ms"] == 100.0 + + playback_tracker.on_interrupted() + state = playback_tracker.get_state() + assert state["current_item_id"] is None + assert state["elapsed_ms"] is None + + def test_audio_length_calculation_with_different_formats(self): + """Test calculate_audio_length_ms handles g711 and PCM formats correctly.""" + from agents.realtime._util import calculate_audio_length_ms + + # Test g711 format (8kHz) + g711_bytes = b"12345678" # 8 bytes + g711_length = calculate_audio_length_ms("g711_ulaw", g711_bytes) + assert g711_length == 1 # (8 / 8000) * 1000 + + # Test PCM format (24kHz, default) + pcm_bytes = b"test" # 4 bytes + pcm_length = calculate_audio_length_ms("pcm16", pcm_bytes) + assert pcm_length == (4 / 24 / 2) * 1000 # ~83.33ms + + # Test None format (defaults to PCM) + none_length = calculate_audio_length_ms(None, pcm_bytes) + assert none_length == pcm_length From 58efa48e291f23b1eb3902693af4e8e3872626b5 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 25 Jul 2025 13:38:18 -0400 Subject: [PATCH 289/337] Realtime: only cancel response if necessary --- src/agents/realtime/openai_realtime.py | 20 +++++++++++++++++++- 1 file changed, 19 insertions(+), 1 deletion(-) diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 2e950b0a1..01a246ad2 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -140,6 +140,7 @@ def __init__(self) -> None: self._ongoing_response: bool = False self._tracing_config: RealtimeModelTracingConfig | Literal["auto"] | None = None self._playback_tracker: RealtimePlaybackTracker | None = None + self._created_session: OpenAISessionObject | None = None async def connect(self, options: RealtimeModelConfig) -> None: """Establish a connection to the model and keep it alive.""" @@ -349,7 +350,14 @@ async def _send_interrupt(self, event: RealtimeModelSendInterrupt) -> None: int(elapsed_ms), ) await self._send_raw_message(converted) - await self._cancel_response() + + automatic_response_cancellation_enabled = ( + self._created_session + and self._created_session.turn_detection + and self._created_session.turn_detection.interrupt_response + ) + if not automatic_response_cancellation_enabled: + await self._cancel_response() self._audio_state_tracker.on_interrupted() if self._playback_tracker: @@ -483,6 +491,9 @@ async def _handle_ws_event(self, event: dict[str, Any]): await self._emit_event(RealtimeModelTurnEndedEvent()) elif parsed.type == "session.created": await self._send_tracing_config(self._tracing_config) + self._update_created_session(parsed.session) # type: ignore + elif parsed.type == "session.updated": + self._update_created_session(parsed.session) # type: ignore elif parsed.type == "error": await self._emit_event(RealtimeModelErrorEvent(error=parsed.error)) elif parsed.type == "conversation.item.deleted": @@ -532,6 +543,13 @@ async def _handle_ws_event(self, event: dict[str, Any]): ): await self._handle_output_item(parsed.item) + def _update_created_session(self, session: OpenAISessionObject) -> None: + self._created_session = session + if session.output_audio_format: + self._audio_state_tracker.set_audio_format(session.output_audio_format) + if self._playback_tracker: + self._playback_tracker.set_audio_format(session.output_audio_format) + async def _update_session_config(self, model_settings: RealtimeSessionModelSettings) -> None: session_config = self._get_session_config(model_settings) await self._send_raw_message( From 49678812d57d74d5ecf593129f35d986dc778c73 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 25 Jul 2025 13:38:18 -0400 Subject: [PATCH 290/337] Realtime: twilio example --- docs/scripts/generate_ref_files.py | 2 + examples/realtime/twilio/README.md | 86 +++++++ examples/realtime/twilio/__init__.py | 0 examples/realtime/twilio/requirements.txt | 4 + examples/realtime/twilio/server.py | 80 +++++++ examples/realtime/twilio/twilio_handler.py | 264 +++++++++++++++++++++ 6 files changed, 436 insertions(+) create mode 100644 examples/realtime/twilio/README.md create mode 100644 examples/realtime/twilio/__init__.py create mode 100644 examples/realtime/twilio/requirements.txt create mode 100644 examples/realtime/twilio/server.py create mode 100644 examples/realtime/twilio/twilio_handler.py diff --git a/docs/scripts/generate_ref_files.py b/docs/scripts/generate_ref_files.py index 9deef7528..84ecdf148 100644 --- a/docs/scripts/generate_ref_files.py +++ b/docs/scripts/generate_ref_files.py @@ -31,6 +31,7 @@ def md_target(py_path: Path) -> Path: rel = py_path.relative_to(SRC_ROOT).with_suffix(".md") return DOCS_ROOT / rel + def pretty_title(last_segment: str) -> str: """ Convert a module/file segment like 'tool_context' to 'Tool Context'. @@ -39,6 +40,7 @@ def pretty_title(last_segment: str) -> str: cleaned = last_segment.replace("_", " ").replace("-", " ") return capwords(cleaned) + # ---- Main ------------------------------------------------------------ diff --git a/examples/realtime/twilio/README.md b/examples/realtime/twilio/README.md new file mode 100644 index 000000000..e031f5e49 --- /dev/null +++ b/examples/realtime/twilio/README.md @@ -0,0 +1,86 @@ +# Realtime Twilio Integration + +This example demonstrates how to connect the OpenAI Realtime API to a phone call using Twilio's Media Streams. The server handles incoming phone calls and streams audio between Twilio and the OpenAI Realtime API, enabling real-time voice conversations with an AI agent over the phone. + +## Prerequisites + +- Python 3.9+ +- OpenAI API key with Realtime API access +- Twilio account with a phone number +- A tunneling service like ngrok to expose your local server + +## Setup + +1. **Start the server:** + + ```bash + uv run server.py + ``` + + The server will start on port 8000 by default. + +2. **Expose the server publicly, e.g. via ngrok:** + + ```bash + ngrok http 8000 + ``` + + Note the public URL (e.g., `https://abc123.ngrok.io`) + +3. **Configure your Twilio phone number:** + - Log into your Twilio Console + - Select your phone number + - Set the webhook URL for incoming calls to: `https://your-ngrok-url.ngrok.io/incoming-call` + - Set the HTTP method to POST + +## Usage + +1. Call your Twilio phone number +2. You'll hear: "Hello! You're now connected to an AI assistant. You can start talking!" +3. Start speaking - the AI will respond in real-time +4. The assistant has access to tools like weather information and current time + +## How It Works + +1. **Incoming Call**: When someone calls your Twilio number, Twilio makes a request to `/incoming-call` +2. **TwiML Response**: The server returns TwiML that: + - Plays a greeting message + - Connects the call to a WebSocket stream at `/media-stream` +3. **WebSocket Connection**: Twilio establishes a WebSocket connection for bidirectional audio streaming +4. **Transport Layer**: The `TwilioRealtimeTransportLayer` class owns the WebSocket message handling: + - Takes ownership of the Twilio WebSocket after initial handshake + - Runs its own message loop to process all Twilio messages + - Handles protocol differences between Twilio and OpenAI + - Automatically sets G.711 μ-law audio format for Twilio compatibility + - Manages audio chunk tracking for interruption support + - Wraps the OpenAI realtime model instead of subclassing it +5. **Audio Processing**: + - Audio from the caller is base64 decoded and sent to OpenAI Realtime API + - Audio responses from OpenAI are base64 encoded and sent back to Twilio + - Twilio plays the audio to the caller + +## Configuration + +- **Port**: Set `PORT` environment variable (default: 8000) +- **OpenAI API Key**: Set `OPENAI_API_KEY` environment variable +- **Agent Instructions**: Modify the `RealtimeAgent` configuration in `server.py` +- **Tools**: Add or modify function tools in `server.py` + +## Troubleshooting + +- **WebSocket connection issues**: Ensure your ngrok URL is correct and publicly accessible +- **Audio quality**: Twilio streams audio in mulaw format at 8kHz, which may affect quality +- **Latency**: Network latency between Twilio, your server, and OpenAI affects response time +- **Logs**: Check the console output for detailed connection and error logs + +## Architecture + +``` +Phone Call → Twilio → WebSocket → TwilioRealtimeTransportLayer → OpenAI Realtime API + ↓ + RealtimeAgent with Tools + ↓ + Audio Response → Twilio → Phone Call +``` + +The `TwilioRealtimeTransportLayer` acts as a bridge between Twilio's Media Streams and OpenAI's Realtime API, handling the protocol differences and audio format conversions. It wraps the OpenAI realtime model to provide a clean interface for Twilio integration. diff --git a/examples/realtime/twilio/__init__.py b/examples/realtime/twilio/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/examples/realtime/twilio/requirements.txt b/examples/realtime/twilio/requirements.txt new file mode 100644 index 000000000..8fc858c40 --- /dev/null +++ b/examples/realtime/twilio/requirements.txt @@ -0,0 +1,4 @@ +fastapi +uvicorn[standard] +websockets +python-dotenv \ No newline at end of file diff --git a/examples/realtime/twilio/server.py b/examples/realtime/twilio/server.py new file mode 100644 index 000000000..8a753f789 --- /dev/null +++ b/examples/realtime/twilio/server.py @@ -0,0 +1,80 @@ +import os +from typing import TYPE_CHECKING + +from fastapi import FastAPI, Request, WebSocket, WebSocketDisconnect +from fastapi.responses import PlainTextResponse + +# Import TwilioHandler class - handle both module and package use cases +if TYPE_CHECKING: + # For type checking, use the relative import + from .twilio_handler import TwilioHandler +else: + # At runtime, try both import styles + try: + # Try relative import first (when used as a package) + from .twilio_handler import TwilioHandler + except ImportError: + # Fall back to direct import (when run as a script) + from twilio_handler import TwilioHandler + + +class TwilioWebSocketManager: + def __init__(self): + self.active_handlers: dict[str, TwilioHandler] = {} + + async def new_session(self, websocket: WebSocket) -> TwilioHandler: + """Create and configure a new session.""" + print("Creating twilio handler") + + handler = TwilioHandler(websocket) + return handler + + # In a real app, you'd also want to clean up/close the handler when the call ends + + +manager = TwilioWebSocketManager() +app = FastAPI() + + +@app.get("/") +async def root(): + return {"message": "Twilio Media Stream Server is running!"} + + +@app.post("/incoming-call") +@app.get("/incoming-call") +async def incoming_call(request: Request): + """Handle incoming Twilio phone calls""" + host = request.headers.get("Host") + + twiml_response = f""" + + Hello! You're now connected to an AI assistant. You can start talking! + + + +""" + return PlainTextResponse(content=twiml_response, media_type="text/xml") + + +@app.websocket("/media-stream") +async def media_stream_endpoint(websocket: WebSocket): + """WebSocket endpoint for Twilio Media Streams""" + + try: + handler = await manager.new_session(websocket) + await handler.start() + + await handler.wait_until_done() + + except WebSocketDisconnect: + print("WebSocket disconnected") + except Exception as e: + print(f"WebSocket error: {e}") + + +if __name__ == "__main__": + import uvicorn + + port = int(os.getenv("PORT", 8000)) + uvicorn.run(app, host="0.0.0.0", port=port) diff --git a/examples/realtime/twilio/twilio_handler.py b/examples/realtime/twilio/twilio_handler.py new file mode 100644 index 000000000..567015dfc --- /dev/null +++ b/examples/realtime/twilio/twilio_handler.py @@ -0,0 +1,264 @@ +from __future__ import annotations + +import asyncio +import base64 +import json +import os +import time +from datetime import datetime +from typing import Any + +from fastapi import WebSocket + +from agents import function_tool +from agents.realtime import ( + RealtimeAgent, + RealtimePlaybackTracker, + RealtimeRunner, + RealtimeSession, + RealtimeSessionEvent, +) + + +@function_tool +def get_weather(city: str) -> str: + """Get the weather in a city.""" + return f"The weather in {city} is sunny." + + +@function_tool +def get_current_time() -> str: + """Get the current time.""" + return f"The current time is {datetime.now().strftime('%H:%M:%S')}" + + +agent = RealtimeAgent( + name="Twilio Assistant", + instructions="You are a helpful assistant that starts every conversation with a creative greeting. Keep responses concise and friendly since this is a phone conversation.", + tools=[get_weather, get_current_time], +) + + +class TwilioHandler: + def __init__(self, twilio_websocket: WebSocket): + self.twilio_websocket = twilio_websocket + self._message_loop_task: asyncio.Task[None] | None = None + self.session: RealtimeSession | None = None + self.playback_tracker = RealtimePlaybackTracker() + + # Audio buffering configuration (matching CLI demo) + self.CHUNK_LENGTH_S = 0.05 # 50ms chunks like CLI demo + self.SAMPLE_RATE = 8000 # Twilio uses 8kHz for g711_ulaw + self.BUFFER_SIZE_BYTES = int(self.SAMPLE_RATE * self.CHUNK_LENGTH_S) # 50ms worth of audio + + self._stream_sid: str | None = None + self._audio_buffer: bytearray = bytearray() + self._last_buffer_send_time = time.time() + + # Mark event tracking for playback + self._mark_counter = 0 + self._mark_data: dict[ + str, tuple[str, int, int] + ] = {} # mark_id -> (item_id, content_index, byte_count) + + async def start(self) -> None: + """Start the session.""" + runner = RealtimeRunner(agent) + api_key = os.getenv("OPENAI_API_KEY") + if not api_key: + raise ValueError("OPENAI_API_KEY environment variable is required") + + self.session = await runner.run( + model_config={ + "api_key": api_key, + "initial_model_settings": { + "input_audio_format": "g711_ulaw", + "output_audio_format": "g711_ulaw", + "turn_detection": { + "type": "semantic_vad", + "interrupt_response": True, + "create_response": True, + }, + }, + "playback_tracker": self.playback_tracker, + } + ) + + await self.session.enter() + + await self.twilio_websocket.accept() + print("Twilio WebSocket connection accepted") + + self._realtime_session_task = asyncio.create_task(self._realtime_session_loop()) + self._message_loop_task = asyncio.create_task(self._twilio_message_loop()) + self._buffer_flush_task = asyncio.create_task(self._buffer_flush_loop()) + + async def wait_until_done(self) -> None: + """Wait until the session is done.""" + assert self._message_loop_task is not None + await self._message_loop_task + + async def _realtime_session_loop(self) -> None: + """Listen for events from the realtime session.""" + assert self.session is not None + try: + async for event in self.session: + await self._handle_realtime_event(event) + except Exception as e: + print(f"Error in realtime session loop: {e}") + + async def _twilio_message_loop(self) -> None: + """Listen for messages from Twilio WebSocket and handle them.""" + try: + while True: + message_text = await self.twilio_websocket.receive_text() + message = json.loads(message_text) + await self._handle_twilio_message(message) + except json.JSONDecodeError as e: + print(f"Failed to parse Twilio message as JSON: {e}") + except Exception as e: + print(f"Error in Twilio message loop: {e}") + + async def _handle_realtime_event(self, event: RealtimeSessionEvent) -> None: + """Handle events from the realtime session.""" + if event.type == "audio": + base64_audio = base64.b64encode(event.audio.data).decode("utf-8") + await self.twilio_websocket.send_text( + json.dumps( + { + "event": "media", + "streamSid": self._stream_sid, + "media": {"payload": base64_audio}, + } + ) + ) + + # Send mark event for playback tracking + self._mark_counter += 1 + mark_id = str(self._mark_counter) + self._mark_data[mark_id] = ( + event.audio.item_id, + event.audio.content_index, + len(event.audio.data), + ) + + await self.twilio_websocket.send_text( + json.dumps( + { + "event": "mark", + "streamSid": self._stream_sid, + "mark": {"name": mark_id}, + } + ) + ) + + elif event.type == "audio_interrupted": + print("Sending audio interrupted to Twilio") + await self.twilio_websocket.send_text( + json.dumps({"event": "clear", "streamSid": self._stream_sid}) + ) + elif event.type == "audio_end": + print("Audio end") + elif event.type == "raw_model_event": + pass + else: + pass + + async def _handle_twilio_message(self, message: dict[str, Any]) -> None: + """Handle incoming messages from Twilio Media Stream.""" + try: + event = message.get("event") + + if event == "connected": + print("Twilio media stream connected") + elif event == "start": + start_data = message.get("start", {}) + self._stream_sid = start_data.get("streamSid") + print(f"Media stream started with SID: {self._stream_sid}") + elif event == "media": + await self._handle_media_event(message) + elif event == "mark": + await self._handle_mark_event(message) + elif event == "stop": + print("Media stream stopped") + except Exception as e: + print(f"Error handling Twilio message: {e}") + + async def _handle_media_event(self, message: dict[str, Any]) -> None: + """Handle audio data from Twilio - buffer it before sending to OpenAI.""" + media = message.get("media", {}) + payload = media.get("payload", "") + + if payload: + try: + # Decode base64 audio from Twilio (µ-law format) + ulaw_bytes = base64.b64decode(payload) + + # Add original µ-law to buffer for OpenAI (they expect µ-law) + self._audio_buffer.extend(ulaw_bytes) + + # Send buffered audio if we have enough data + if len(self._audio_buffer) >= self.BUFFER_SIZE_BYTES: + await self._flush_audio_buffer() + + except Exception as e: + print(f"Error processing audio from Twilio: {e}") + + async def _handle_mark_event(self, message: dict[str, Any]) -> None: + """Handle mark events from Twilio to update playback tracker.""" + try: + mark_data = message.get("mark", {}) + mark_id = mark_data.get("name", "") + + # Look up stored data for this mark ID + if mark_id in self._mark_data: + item_id, item_content_index, byte_count = self._mark_data[mark_id] + + # Convert byte count back to bytes for playback tracker + audio_bytes = b"\x00" * byte_count # Placeholder bytes + + # Update playback tracker + self.playback_tracker.on_play_bytes(item_id, item_content_index, audio_bytes) + print( + f"Playback tracker updated: {item_id}, index {item_content_index}, {byte_count} bytes" + ) + + # Clean up the stored data + del self._mark_data[mark_id] + + except Exception as e: + print(f"Error handling mark event: {e}") + + async def _flush_audio_buffer(self) -> None: + """Send buffered audio to OpenAI.""" + if not self._audio_buffer or not self.session: + return + + try: + # Send the buffered audio + buffer_data = bytes(self._audio_buffer) + await self.session.send_audio(buffer_data) + + # Clear the buffer + self._audio_buffer.clear() + self._last_buffer_send_time = time.time() + + except Exception as e: + print(f"Error sending buffered audio to OpenAI: {e}") + + async def _buffer_flush_loop(self) -> None: + """Periodically flush audio buffer to prevent stale data.""" + try: + while True: + await asyncio.sleep(self.CHUNK_LENGTH_S) # Check every 50ms + + # If buffer has data and it's been too long since last send, flush it + current_time = time.time() + if ( + self._audio_buffer + and current_time - self._last_buffer_send_time > self.CHUNK_LENGTH_S * 2 + ): + await self._flush_audio_buffer() + + except Exception as e: + print(f"Error in buffer flush loop: {e}") From 192eb20165584d803224b848ff760bccaa56e708 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 25 Jul 2025 13:55:59 -0400 Subject: [PATCH 291/337] Realtime: forward all raw model events --- src/agents/realtime/model_events.py | 10 ++++++++++ src/agents/realtime/openai_realtime.py | 2 ++ src/agents/realtime/session.py | 2 ++ 3 files changed, 14 insertions(+) diff --git a/src/agents/realtime/model_events.py b/src/agents/realtime/model_events.py index 43b0dd025..5aeadc0f9 100644 --- a/src/agents/realtime/model_events.py +++ b/src/agents/realtime/model_events.py @@ -156,6 +156,15 @@ class RealtimeModelExceptionEvent: type: Literal["exception"] = "exception" +@dataclass +class RealtimeModelRawServerEvent: + """Raw events forwarded from the server.""" + + data: Any + + type: Literal["raw_server_event"] = "raw_server_event" + + # TODO (rm) Add usage events @@ -174,4 +183,5 @@ class RealtimeModelExceptionEvent: RealtimeModelTurnEndedEvent, RealtimeModelOtherEvent, RealtimeModelExceptionEvent, + RealtimeModelRawServerEvent, ] diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 01a246ad2..d0189ed6b 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -86,6 +86,7 @@ RealtimeModelInputAudioTranscriptionCompletedEvent, RealtimeModelItemDeletedEvent, RealtimeModelItemUpdatedEvent, + RealtimeModelRawServerEvent, RealtimeModelToolCallEvent, RealtimeModelTranscriptDeltaEvent, RealtimeModelTurnEndedEvent, @@ -447,6 +448,7 @@ async def _cancel_response(self) -> None: self._ongoing_response = False async def _handle_ws_event(self, event: dict[str, Any]): + await self._emit_event(RealtimeModelRawServerEvent(data=event)) try: if "previous_item_id" in event and event["previous_item_id"] is None: event["previous_item_id"] = "" # TODO (rm) remove diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index d5d4d8046..5c9d77055 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -274,6 +274,8 @@ async def on_event(self, event: RealtimeModelEvent) -> None: self._stored_exception = event.exception elif event.type == "other": pass + elif event.type == "raw_server_event": + pass else: assert_never(event) From 1151c2aac929ad2d12fb5a100cba43d39f3829a7 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 25 Jul 2025 21:33:20 -0400 Subject: [PATCH 292/337] Realtime: forward all raw model events --- src/agents/realtime/model_events.py | 10 ++++++++ src/agents/realtime/openai_realtime.py | 2 ++ src/agents/realtime/session.py | 2 ++ tests/realtime/test_openai_realtime.py | 32 +++++++++++++------------- 4 files changed, 30 insertions(+), 16 deletions(-) diff --git a/src/agents/realtime/model_events.py b/src/agents/realtime/model_events.py index 43b0dd025..5aeadc0f9 100644 --- a/src/agents/realtime/model_events.py +++ b/src/agents/realtime/model_events.py @@ -156,6 +156,15 @@ class RealtimeModelExceptionEvent: type: Literal["exception"] = "exception" +@dataclass +class RealtimeModelRawServerEvent: + """Raw events forwarded from the server.""" + + data: Any + + type: Literal["raw_server_event"] = "raw_server_event" + + # TODO (rm) Add usage events @@ -174,4 +183,5 @@ class RealtimeModelExceptionEvent: RealtimeModelTurnEndedEvent, RealtimeModelOtherEvent, RealtimeModelExceptionEvent, + RealtimeModelRawServerEvent, ] diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 01a246ad2..d0189ed6b 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -86,6 +86,7 @@ RealtimeModelInputAudioTranscriptionCompletedEvent, RealtimeModelItemDeletedEvent, RealtimeModelItemUpdatedEvent, + RealtimeModelRawServerEvent, RealtimeModelToolCallEvent, RealtimeModelTranscriptDeltaEvent, RealtimeModelTurnEndedEvent, @@ -447,6 +448,7 @@ async def _cancel_response(self) -> None: self._ongoing_response = False async def _handle_ws_event(self, event: dict[str, Any]): + await self._emit_event(RealtimeModelRawServerEvent(data=event)) try: if "previous_item_id" in event and event["previous_item_id"] is None: event["previous_item_id"] = "" # TODO (rm) remove diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index d5d4d8046..5c9d77055 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -274,6 +274,8 @@ async def on_event(self, event: RealtimeModelEvent) -> None: self._stored_exception = event.exception elif event.type == "other": pass + elif event.type == "raw_server_event": + pass else: assert_never(event) diff --git a/tests/realtime/test_openai_realtime.py b/tests/realtime/test_openai_realtime.py index 704d95d40..4c410bf6e 100644 --- a/tests/realtime/test_openai_realtime.py +++ b/tests/realtime/test_openai_realtime.py @@ -180,9 +180,9 @@ async def test_handle_malformed_json_logs_error_continues(self, model): # Malformed JSON should not crash the handler await model._handle_ws_event("invalid json {") - # Should emit error event to listeners - mock_listener.on_event.assert_called_once() - error_event = mock_listener.on_event.call_args[0][0] + # Should emit raw server event and error event to listeners + assert mock_listener.on_event.call_count == 2 + error_event = mock_listener.on_event.call_args_list[1][0][0] assert error_event.type == "error" @pytest.mark.asyncio @@ -195,9 +195,9 @@ async def test_handle_invalid_event_schema_logs_error(self, model): await model._handle_ws_event(invalid_event) - # Should emit error event to listeners - mock_listener.on_event.assert_called_once() - error_event = mock_listener.on_event.call_args[0][0] + # Should emit raw server event and error event to listeners + assert mock_listener.on_event.call_count == 2 + error_event = mock_listener.on_event.call_args_list[1][0][0] assert error_event.type == "error" @pytest.mark.asyncio @@ -241,9 +241,9 @@ async def test_handle_audio_delta_event_success(self, model): await model._handle_ws_event(audio_event) - # Should emit audio event to listeners - mock_listener.on_event.assert_called_once() - emitted_event = mock_listener.on_event.call_args[0][0] + # Should emit raw server event and audio event to listeners + assert mock_listener.on_event.call_count == 2 + emitted_event = mock_listener.on_event.call_args_list[1][0][0] assert isinstance(emitted_event, RealtimeModelAudioEvent) assert emitted_event.response_id == "resp_123" assert emitted_event.data == b"test audio" # decoded from base64 @@ -274,9 +274,9 @@ async def test_handle_error_event_success(self, model): await model._handle_ws_event(error_event) - # Should emit error event to listeners - mock_listener.on_event.assert_called_once() - emitted_event = mock_listener.on_event.call_args[0][0] + # Should emit raw server event and error event to listeners + assert mock_listener.on_event.call_count == 2 + emitted_event = mock_listener.on_event.call_args_list[1][0][0] assert isinstance(emitted_event, RealtimeModelErrorEvent) @pytest.mark.asyncio @@ -303,12 +303,12 @@ async def test_handle_tool_call_event_success(self, model): await model._handle_ws_event(tool_call_event) - # Should emit both item updated and tool call events - assert mock_listener.on_event.call_count == 2 + # Should emit raw server event, item updated, and tool call events + assert mock_listener.on_event.call_count == 3 - # First should be item updated, second should be tool call + # First should be raw server event, second should be item updated, third should be tool call calls = mock_listener.on_event.call_args_list - tool_call_emitted = calls[1][0][0] + tool_call_emitted = calls[2][0][0] assert isinstance(tool_call_emitted, RealtimeModelToolCallEvent) assert tool_call_emitted.name == "get_weather" assert tool_call_emitted.arguments == '{"location": "San Francisco"}' From a720f63b4dcebf466b0675bd2f7a2985b753ef40 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 29 Jul 2025 14:11:22 -0400 Subject: [PATCH 293/337] Realtime: enable a playback tracker --- src/agents/realtime/__init__.py | 4 + src/agents/realtime/_default_tracker.py | 47 +++++++++ src/agents/realtime/_util.py | 9 ++ src/agents/realtime/model.py | 94 ++++++++++++++++++ src/agents/realtime/openai_realtime.py | 82 ++++++++++------ tests/realtime/test_agent.py | 2 + tests/realtime/test_conversion_helpers.py | 2 + tests/realtime/test_openai_realtime.py | 83 +++++++++------- tests/realtime/test_playback_tracker.py | 112 ++++++++++++++++++++++ 9 files changed, 376 insertions(+), 59 deletions(-) create mode 100644 src/agents/realtime/_default_tracker.py create mode 100644 src/agents/realtime/_util.py create mode 100644 tests/realtime/test_playback_tracker.py diff --git a/src/agents/realtime/__init__.py b/src/agents/realtime/__init__.py index 49c131389..7675c466f 100644 --- a/src/agents/realtime/__init__.py +++ b/src/agents/realtime/__init__.py @@ -47,6 +47,8 @@ RealtimeModel, RealtimeModelConfig, RealtimeModelListener, + RealtimePlaybackState, + RealtimePlaybackTracker, ) from .model_events import ( RealtimeConnectionStatus, @@ -139,6 +141,8 @@ "RealtimeModel", "RealtimeModelConfig", "RealtimeModelListener", + "RealtimePlaybackTracker", + "RealtimePlaybackState", # Model Events "RealtimeConnectionStatus", "RealtimeModelAudioDoneEvent", diff --git a/src/agents/realtime/_default_tracker.py b/src/agents/realtime/_default_tracker.py new file mode 100644 index 000000000..49bc827c2 --- /dev/null +++ b/src/agents/realtime/_default_tracker.py @@ -0,0 +1,47 @@ +from __future__ import annotations + +from dataclasses import dataclass +from datetime import datetime + +from ._util import calculate_audio_length_ms +from .config import RealtimeAudioFormat + + +@dataclass +class ModelAudioState: + initial_received_time: datetime + audio_length_ms: float + + +class ModelAudioTracker: + def __init__(self) -> None: + # (item_id, item_content_index) -> ModelAudioState + self._states: dict[tuple[str, int], ModelAudioState] = {} + self._last_audio_item: tuple[str, int] | None = None + + def set_audio_format(self, format: RealtimeAudioFormat) -> None: + """Called when the model wants to set the audio format.""" + self._format = format + + def on_audio_delta(self, item_id: str, item_content_index: int, audio_bytes: bytes) -> None: + """Called when an audio delta is received from the model.""" + ms = calculate_audio_length_ms(self._format, audio_bytes) + new_key = (item_id, item_content_index) + + self._last_audio_item = new_key + if new_key not in self._states: + self._states[new_key] = ModelAudioState(datetime.now(), ms) + else: + self._states[new_key].audio_length_ms += ms + + def on_interrupted(self) -> None: + """Called when the audio playback has been interrupted.""" + self._last_audio_item = None + + def get_state(self, item_id: str, item_content_index: int) -> ModelAudioState | None: + """Called when the model wants to get the current playback state.""" + return self._states.get((item_id, item_content_index)) + + def get_last_audio_item(self) -> tuple[str, int] | None: + """Called when the model wants to get the last audio item ID and content index.""" + return self._last_audio_item diff --git a/src/agents/realtime/_util.py b/src/agents/realtime/_util.py new file mode 100644 index 000000000..c8926edfb --- /dev/null +++ b/src/agents/realtime/_util.py @@ -0,0 +1,9 @@ +from __future__ import annotations + +from .config import RealtimeAudioFormat + + +def calculate_audio_length_ms(format: RealtimeAudioFormat | None, audio_bytes: bytes) -> float: + if format and format.startswith("g711"): + return (len(audio_bytes) / 8000) * 1000 + return (len(audio_bytes) / 24 / 2) * 1000 diff --git a/src/agents/realtime/model.py b/src/agents/realtime/model.py index e279ecc95..d7ebe4ffa 100644 --- a/src/agents/realtime/model.py +++ b/src/agents/realtime/model.py @@ -6,13 +6,95 @@ from typing_extensions import NotRequired, TypedDict from ..util._types import MaybeAwaitable +from ._util import calculate_audio_length_ms from .config import ( + RealtimeAudioFormat, RealtimeSessionModelSettings, ) from .model_events import RealtimeModelEvent from .model_inputs import RealtimeModelSendEvent +class RealtimePlaybackState(TypedDict): + current_item_id: str | None + """The item ID of the current item being played.""" + + current_item_content_index: int | None + """The index of the current item content being played.""" + + elapsed_ms: float | None + """The number of milliseconds of audio that have been played.""" + + +class RealtimePlaybackTracker: + """If you have custom playback logic or expect that audio is played with delays or at different + speeds, create an instance of RealtimePlaybackTracker and pass it to the session. You are + responsible for tracking the audio playback progress and calling `on_play_bytes` or + `on_play_ms` when the user has played some audio.""" + + def __init__(self) -> None: + self._format: RealtimeAudioFormat | None = None + # (item_id, item_content_index) + self._current_item: tuple[str, int] | None = None + self._elapsed_ms: float | None = None + + def on_play_bytes(self, item_id: str, item_content_index: int, bytes: bytes) -> None: + """Called by you when you have played some audio. + + Args: + item_id: The item ID of the audio being played. + item_content_index: The index of the audio content in `item.content` + bytes: The audio bytes that have been fully played. + """ + ms = calculate_audio_length_ms(self._format, bytes) + self.on_play_ms(item_id, item_content_index, ms) + + def on_play_ms(self, item_id: str, item_content_index: int, ms: float) -> None: + """Called by you when you have played some audio. + + Args: + item_id: The item ID of the audio being played. + item_content_index: The index of the audio content in `item.content` + ms: The number of milliseconds of audio that have been played. + """ + if self._current_item != (item_id, item_content_index): + self._current_item = (item_id, item_content_index) + self._elapsed_ms = ms + else: + assert self._elapsed_ms is not None + self._elapsed_ms += ms + + def on_interrupted(self) -> None: + """Called by the model when the audio playback has been interrupted.""" + self._current_item = None + self._elapsed_ms = None + + def set_audio_format(self, format: RealtimeAudioFormat) -> None: + """Will be called by the model to set the audio format. + + Args: + format: The audio format to use. + """ + self._format = format + + def get_state(self) -> RealtimePlaybackState: + """Will be called by the model to get the current playback state.""" + if self._current_item is None: + return { + "current_item_id": None, + "current_item_content_index": None, + "elapsed_ms": None, + } + assert self._elapsed_ms is not None + + item_id, item_content_index = self._current_item + return { + "current_item_id": item_id, + "current_item_content_index": item_content_index, + "elapsed_ms": self._elapsed_ms, + } + + class RealtimeModelListener(abc.ABC): """A listener for realtime transport events.""" @@ -39,6 +121,18 @@ class RealtimeModelConfig(TypedDict): initial_model_settings: NotRequired[RealtimeSessionModelSettings] """The initial model settings to use when connecting.""" + playback_tracker: NotRequired[RealtimePlaybackTracker] + """The playback tracker to use when tracking audio playback progress. If not set, the model will + use a default implementation that assumes audio is played immediately, at realtime speed. + + A playback tracker is useful for interruptions. The model generates audio much faster than + realtime playback speed. So if there's an interruption, its useful for the model to know how + much of the audio has been played by the user. In low-latency scenarios, it's fine to assume + that audio is played back immediately at realtime speed. But in scenarios like phone calls or + other remote interactions, you can set a playback tracker that lets the model know when audio + is played to the user. + """ + class RealtimeModel(abc.ABC): """Interface for connecting to a realtime model and sending/receiving events.""" diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index ab9408dfe..2e950b0a1 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -57,6 +57,7 @@ from websockets.asyncio.client import ClientConnection from agents.handoffs import Handoff +from agents.realtime._default_tracker import ModelAudioTracker from agents.tool import FunctionTool, Tool from agents.util._types import MaybeAwaitable @@ -72,6 +73,8 @@ RealtimeModel, RealtimeModelConfig, RealtimeModelListener, + RealtimePlaybackState, + RealtimePlaybackTracker, ) from .model_events import ( RealtimeModelAudioDoneEvent, @@ -133,11 +136,10 @@ def __init__(self) -> None: self._websocket_task: asyncio.Task[None] | None = None self._listeners: list[RealtimeModelListener] = [] self._current_item_id: str | None = None - self._audio_start_time: datetime | None = None - self._audio_length_ms: float = 0.0 + self._audio_state_tracker: ModelAudioTracker = ModelAudioTracker() self._ongoing_response: bool = False - self._current_audio_content_index: int | None = None self._tracing_config: RealtimeModelTracingConfig | Literal["auto"] | None = None + self._playback_tracker: RealtimePlaybackTracker | None = None async def connect(self, options: RealtimeModelConfig) -> None: """Establish a connection to the model and keep it alive.""" @@ -146,6 +148,8 @@ async def connect(self, options: RealtimeModelConfig) -> None: model_settings: RealtimeSessionModelSettings = options.get("initial_model_settings", {}) + self._playback_tracker = options.get("playback_tracker", RealtimePlaybackTracker()) + self.model = model_settings.get("model_name", self.model) api_key = await get_api_key(options.get("api_key")) @@ -294,31 +298,62 @@ async def _send_tool_output(self, event: RealtimeModelSendToolOutput) -> None: if event.start_response: await self._send_raw_message(OpenAIResponseCreateEvent(type="response.create")) + def _get_playback_state(self) -> RealtimePlaybackState: + if self._playback_tracker: + return self._playback_tracker.get_state() + + if last_audio_item_id := self._audio_state_tracker.get_last_audio_item(): + item_id, item_content_index = last_audio_item_id + audio_state = self._audio_state_tracker.get_state(item_id, item_content_index) + if audio_state: + elapsed_ms = ( + datetime.now() - audio_state.initial_received_time + ).total_seconds() * 1000 + return { + "current_item_id": item_id, + "current_item_content_index": item_content_index, + "elapsed_ms": elapsed_ms, + } + + return { + "current_item_id": None, + "current_item_content_index": None, + "elapsed_ms": None, + } + async def _send_interrupt(self, event: RealtimeModelSendInterrupt) -> None: - if not self._current_item_id or not self._audio_start_time: + playback_state = self._get_playback_state() + current_item_id = playback_state.get("current_item_id") + current_item_content_index = playback_state.get("current_item_content_index") + elapsed_ms = playback_state.get("elapsed_ms") + if current_item_id is None or elapsed_ms is None: + logger.info( + "Skipping interrupt. " + f"Item id: {current_item_id}, " + f"elapsed ms: {elapsed_ms}, " + f"content index: {current_item_content_index}" + ) return - await self._cancel_response() - - elapsed_time_ms = (datetime.now() - self._audio_start_time).total_seconds() * 1000 - if elapsed_time_ms > 0 and elapsed_time_ms < self._audio_length_ms: + current_item_content_index = current_item_content_index or 0 + if elapsed_ms > 0: await self._emit_event( RealtimeModelAudioInterruptedEvent( - item_id=self._current_item_id, - content_index=self._current_audio_content_index or 0, + item_id=current_item_id, + content_index=current_item_content_index, ) ) converted = _ConversionHelper.convert_interrupt( - self._current_item_id, - self._current_audio_content_index or 0, - int(elapsed_time_ms), + current_item_id, + current_item_content_index, + int(elapsed_ms), ) await self._send_raw_message(converted) + await self._cancel_response() - self._current_item_id = None - self._audio_start_time = None - self._audio_length_ms = 0.0 - self._current_audio_content_index = None + self._audio_state_tracker.on_interrupted() + if self._playback_tracker: + self._playback_tracker.on_interrupted() async def _send_session_update(self, event: RealtimeModelSendSessionUpdate) -> None: """Send a session update to the model.""" @@ -326,15 +361,12 @@ async def _send_session_update(self, event: RealtimeModelSendSessionUpdate) -> N async def _handle_audio_delta(self, parsed: ResponseAudioDeltaEvent) -> None: """Handle audio delta events and update audio tracking state.""" - self._current_audio_content_index = parsed.content_index self._current_item_id = parsed.item_id - if self._audio_start_time is None: - self._audio_start_time = datetime.now() - self._audio_length_ms = 0.0 audio_bytes = base64.b64decode(parsed.delta) - # Calculate audio length in ms using 24KHz pcm16le - self._audio_length_ms += self._calculate_audio_length_ms(audio_bytes) + + self._audio_state_tracker.on_audio_delta(parsed.item_id, parsed.content_index, audio_bytes) + await self._emit_event( RealtimeModelAudioEvent( data=audio_bytes, @@ -344,10 +376,6 @@ async def _handle_audio_delta(self, parsed: ResponseAudioDeltaEvent) -> None: ) ) - def _calculate_audio_length_ms(self, audio_bytes: bytes) -> float: - """Calculate audio length in milliseconds for 24KHz PCM16LE format.""" - return len(audio_bytes) / 24 / 2 - async def _handle_output_item(self, item: ConversationItem) -> None: """Handle response output item events (function calls and messages).""" if item.type == "function_call" and item.status == "completed": diff --git a/tests/realtime/test_agent.py b/tests/realtime/test_agent.py index aae8bc47c..7f1dc3ea3 100644 --- a/tests/realtime/test_agent.py +++ b/tests/realtime/test_agent.py @@ -1,3 +1,5 @@ +from __future__ import annotations + import pytest from agents import RunContextWrapper diff --git a/tests/realtime/test_conversion_helpers.py b/tests/realtime/test_conversion_helpers.py index 859813edd..2d84c8c49 100644 --- a/tests/realtime/test_conversion_helpers.py +++ b/tests/realtime/test_conversion_helpers.py @@ -1,3 +1,5 @@ +from __future__ import annotations + import base64 from unittest.mock import Mock diff --git a/tests/realtime/test_openai_realtime.py b/tests/realtime/test_openai_realtime.py index 5cb0eb0fa..704d95d40 100644 --- a/tests/realtime/test_openai_realtime.py +++ b/tests/realtime/test_openai_realtime.py @@ -1,4 +1,3 @@ -from datetime import datetime from typing import Any from unittest.mock import AsyncMock, Mock, patch @@ -226,6 +225,9 @@ async def test_handle_audio_delta_event_success(self, model): mock_listener = AsyncMock() model.add_listener(mock_listener) + # Set up audio format on the tracker before testing + model._audio_state_tracker.set_audio_format("pcm16") + # Valid audio delta event (minimal required fields for OpenAI spec) audio_event = { "type": "response.audio.delta", @@ -237,23 +239,22 @@ async def test_handle_audio_delta_event_success(self, model): "delta": "dGVzdCBhdWRpbw==", # base64 encoded "test audio" } - with patch("agents.realtime.openai_realtime.datetime") as mock_datetime: - mock_now = datetime(2024, 1, 1, 12, 0, 0) - mock_datetime.now.return_value = mock_now + await model._handle_ws_event(audio_event) - await model._handle_ws_event(audio_event) + # Should emit audio event to listeners + mock_listener.on_event.assert_called_once() + emitted_event = mock_listener.on_event.call_args[0][0] + assert isinstance(emitted_event, RealtimeModelAudioEvent) + assert emitted_event.response_id == "resp_123" + assert emitted_event.data == b"test audio" # decoded from base64 - # Should emit audio event to listeners - mock_listener.on_event.assert_called_once() - emitted_event = mock_listener.on_event.call_args[0][0] - assert isinstance(emitted_event, RealtimeModelAudioEvent) - assert emitted_event.response_id == "resp_123" - assert emitted_event.data == b"test audio" # decoded from base64 + # Should update internal audio tracking state + assert model._current_item_id == "item_456" - # Should update internal audio tracking state - assert model._current_item_id == "item_456" - assert model._current_audio_content_index == 0 - assert model._audio_start_time == mock_now + # Test that audio state is tracked in the tracker + audio_state = model._audio_state_tracker.get_state("item_456", 0) + assert audio_state is not None + assert audio_state.audio_length_ms > 0 # Should have some audio length @pytest.mark.asyncio async def test_handle_error_event_success(self, model): @@ -319,6 +320,9 @@ async def test_audio_timing_calculation_accuracy(self, model): mock_listener = AsyncMock() model.add_listener(mock_listener) + # Set up audio format on the tracker before testing + model._audio_state_tracker.set_audio_format("pcm16") + # Send multiple audio deltas to test cumulative timing audio_deltas = [ { @@ -344,21 +348,34 @@ async def test_audio_timing_calculation_accuracy(self, model): for event in audio_deltas: await model._handle_ws_event(event) - # Should accumulate audio length: 8 bytes / 24 / 2 = ~0.167ms per byte - # Total: 8 bytes / 24 / 2 = 0.167ms - expected_length = 8 / 24 / 2 - assert abs(model._audio_length_ms - expected_length) < 0.001 + # Should accumulate audio length: 8 bytes / 24 / 2 * 1000 = milliseconds + # Total: 8 bytes / 24 / 2 * 1000 + expected_length = (8 / 24 / 2) * 1000 + + # Test through the actual audio state tracker + audio_state = model._audio_state_tracker.get_state("item_1", 0) + assert audio_state is not None + assert abs(audio_state.audio_length_ms - expected_length) < 0.001 def test_calculate_audio_length_ms_pure_function(self, model): """Test the pure audio length calculation function.""" - # Test various audio buffer sizes - assert model._calculate_audio_length_ms(b"test") == 4 / 24 / 2 # 4 bytes - assert model._calculate_audio_length_ms(b"") == 0 # empty - assert model._calculate_audio_length_ms(b"a" * 48) == 1.0 # exactly 1ms worth + from agents.realtime._util import calculate_audio_length_ms + + # Test various audio buffer sizes for pcm16 format + assert calculate_audio_length_ms("pcm16", b"test") == (4 / 24 / 2) * 1000 # 4 bytes + assert calculate_audio_length_ms("pcm16", b"") == 0 # empty + assert calculate_audio_length_ms("pcm16", b"a" * 48) == 1000.0 # exactly 1000ms worth + + # Test g711 format + assert calculate_audio_length_ms("g711_ulaw", b"test") == (4 / 8000) * 1000 # 4 bytes + assert calculate_audio_length_ms("g711_alaw", b"a" * 8) == (8 / 8000) * 1000 # 8 bytes @pytest.mark.asyncio async def test_handle_audio_delta_state_management(self, model): """Test that _handle_audio_delta properly manages internal state.""" + # Set up audio format on the tracker before testing + model._audio_state_tracker.set_audio_format("pcm16") + # Create mock parsed event mock_parsed = Mock() mock_parsed.content_index = 5 @@ -366,14 +383,16 @@ async def test_handle_audio_delta_state_management(self, model): mock_parsed.delta = "dGVzdA==" # "test" in base64 mock_parsed.response_id = "resp_123" - with patch("agents.realtime.openai_realtime.datetime") as mock_datetime: - mock_now = datetime(2024, 1, 1, 12, 0, 0) - mock_datetime.now.return_value = mock_now + await model._handle_audio_delta(mock_parsed) + + # Check state was updated correctly + assert model._current_item_id == "test_item" - await model._handle_audio_delta(mock_parsed) + # Test that audio state is tracked correctly + audio_state = model._audio_state_tracker.get_state("test_item", 5) + assert audio_state is not None + assert audio_state.audio_length_ms == (4 / 24 / 2) * 1000 # 4 bytes in milliseconds - # Check state was updated correctly - assert model._current_audio_content_index == 5 - assert model._current_item_id == "test_item" - assert model._audio_start_time == mock_now - assert model._audio_length_ms == 4 / 24 / 2 # 4 bytes + # Test that last audio item is tracked + last_item = model._audio_state_tracker.get_last_audio_item() + assert last_item == ("test_item", 5) diff --git a/tests/realtime/test_playback_tracker.py b/tests/realtime/test_playback_tracker.py new file mode 100644 index 000000000..c0bfba468 --- /dev/null +++ b/tests/realtime/test_playback_tracker.py @@ -0,0 +1,112 @@ +from unittest.mock import AsyncMock + +import pytest + +from agents.realtime._default_tracker import ModelAudioTracker +from agents.realtime.model import RealtimePlaybackTracker +from agents.realtime.model_inputs import RealtimeModelSendInterrupt +from agents.realtime.openai_realtime import OpenAIRealtimeWebSocketModel + + +class TestPlaybackTracker: + """Test playback tracker functionality for interrupt timing.""" + + @pytest.fixture + def model(self): + """Create a fresh model instance for each test.""" + return OpenAIRealtimeWebSocketModel() + + @pytest.mark.asyncio + async def test_interrupt_timing_with_custom_playback_tracker(self, model): + """Test interrupt uses custom playback tracker elapsed time instead of default timing.""" + + # Create custom tracker and set elapsed time + custom_tracker = RealtimePlaybackTracker() + custom_tracker.set_audio_format("pcm16") + custom_tracker.on_play_ms("item_1", 1, 500.0) # content_index 1, 500ms played + + # Set up model with custom tracker directly + model._playback_tracker = custom_tracker + + # Mock send_raw_message to capture interrupt + model._send_raw_message = AsyncMock() + + # Send interrupt + + await model._send_interrupt(RealtimeModelSendInterrupt()) + + # Should use custom tracker's 500ms elapsed time + model._send_raw_message.assert_called_once() + call_args = model._send_raw_message.call_args[0][0] + assert call_args.audio_end_ms == 500 + + @pytest.mark.asyncio + async def test_interrupt_skipped_when_no_audio_playing(self, model): + """Test interrupt returns early when no audio is currently playing.""" + model._send_raw_message = AsyncMock() + + # No audio playing (default state) + + await model._send_interrupt(RealtimeModelSendInterrupt()) + + # Should not send any interrupt message + model._send_raw_message.assert_not_called() + + def test_audio_state_accumulation_across_deltas(self): + """Test ModelAudioTracker accumulates audio length across multiple deltas.""" + + tracker = ModelAudioTracker() + tracker.set_audio_format("pcm16") + + # Send multiple deltas for same item + tracker.on_audio_delta("item_1", 0, b"test") # 4 bytes + tracker.on_audio_delta("item_1", 0, b"more") # 4 bytes + + state = tracker.get_state("item_1", 0) + assert state is not None + # Should accumulate: 8 bytes / 24 / 2 * 1000 = 166.67ms + expected_length = (8 / 24 / 2) * 1000 + assert abs(state.audio_length_ms - expected_length) < 0.01 + + def test_state_cleanup_on_interruption(self): + """Test both trackers properly reset state on interruption.""" + + # Test ModelAudioTracker cleanup + model_tracker = ModelAudioTracker() + model_tracker.set_audio_format("pcm16") + model_tracker.on_audio_delta("item_1", 0, b"test") + assert model_tracker.get_last_audio_item() == ("item_1", 0) + + model_tracker.on_interrupted() + assert model_tracker.get_last_audio_item() is None + + # Test RealtimePlaybackTracker cleanup + playback_tracker = RealtimePlaybackTracker() + playback_tracker.on_play_ms("item_1", 0, 100.0) + + state = playback_tracker.get_state() + assert state["current_item_id"] == "item_1" + assert state["elapsed_ms"] == 100.0 + + playback_tracker.on_interrupted() + state = playback_tracker.get_state() + assert state["current_item_id"] is None + assert state["elapsed_ms"] is None + + def test_audio_length_calculation_with_different_formats(self): + """Test calculate_audio_length_ms handles g711 and PCM formats correctly.""" + from agents.realtime._util import calculate_audio_length_ms + + # Test g711 format (8kHz) + g711_bytes = b"12345678" # 8 bytes + g711_length = calculate_audio_length_ms("g711_ulaw", g711_bytes) + assert g711_length == 1 # (8 / 8000) * 1000 + + # Test PCM format (24kHz, default) + pcm_bytes = b"test" # 4 bytes + pcm_length = calculate_audio_length_ms("pcm16", pcm_bytes) + assert pcm_length == (4 / 24 / 2) * 1000 # ~83.33ms + + # Test None format (defaults to PCM) + none_length = calculate_audio_length_ms(None, pcm_bytes) + assert none_length == pcm_length From 5346d63e16187a675c2393a0a0129547463a80d3 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 29 Jul 2025 14:11:22 -0400 Subject: [PATCH 294/337] Realtime: only cancel response if necessary --- src/agents/realtime/openai_realtime.py | 20 +++++++++++++++++++- 1 file changed, 19 insertions(+), 1 deletion(-) diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 2e950b0a1..01a246ad2 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -140,6 +140,7 @@ def __init__(self) -> None: self._ongoing_response: bool = False self._tracing_config: RealtimeModelTracingConfig | Literal["auto"] | None = None self._playback_tracker: RealtimePlaybackTracker | None = None + self._created_session: OpenAISessionObject | None = None async def connect(self, options: RealtimeModelConfig) -> None: """Establish a connection to the model and keep it alive.""" @@ -349,7 +350,14 @@ async def _send_interrupt(self, event: RealtimeModelSendInterrupt) -> None: int(elapsed_ms), ) await self._send_raw_message(converted) - await self._cancel_response() + + automatic_response_cancellation_enabled = ( + self._created_session + and self._created_session.turn_detection + and self._created_session.turn_detection.interrupt_response + ) + if not automatic_response_cancellation_enabled: + await self._cancel_response() self._audio_state_tracker.on_interrupted() if self._playback_tracker: @@ -483,6 +491,9 @@ async def _handle_ws_event(self, event: dict[str, Any]): await self._emit_event(RealtimeModelTurnEndedEvent()) elif parsed.type == "session.created": await self._send_tracing_config(self._tracing_config) + self._update_created_session(parsed.session) # type: ignore + elif parsed.type == "session.updated": + self._update_created_session(parsed.session) # type: ignore elif parsed.type == "error": await self._emit_event(RealtimeModelErrorEvent(error=parsed.error)) elif parsed.type == "conversation.item.deleted": @@ -532,6 +543,13 @@ async def _handle_ws_event(self, event: dict[str, Any]): ): await self._handle_output_item(parsed.item) + def _update_created_session(self, session: OpenAISessionObject) -> None: + self._created_session = session + if session.output_audio_format: + self._audio_state_tracker.set_audio_format(session.output_audio_format) + if self._playback_tracker: + self._playback_tracker.set_audio_format(session.output_audio_format) + async def _update_session_config(self, model_settings: RealtimeSessionModelSettings) -> None: session_config = self._get_session_config(model_settings) await self._send_raw_message( From ecf4a00319909b4221135843714b61021e2af3ba Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 29 Jul 2025 14:11:22 -0400 Subject: [PATCH 295/337] Realtime: twilio example --- docs/scripts/generate_ref_files.py | 2 + examples/realtime/twilio/README.md | 86 +++++++ examples/realtime/twilio/__init__.py | 0 examples/realtime/twilio/requirements.txt | 4 + examples/realtime/twilio/server.py | 80 +++++++ examples/realtime/twilio/twilio_handler.py | 264 +++++++++++++++++++++ 6 files changed, 436 insertions(+) create mode 100644 examples/realtime/twilio/README.md create mode 100644 examples/realtime/twilio/__init__.py create mode 100644 examples/realtime/twilio/requirements.txt create mode 100644 examples/realtime/twilio/server.py create mode 100644 examples/realtime/twilio/twilio_handler.py diff --git a/docs/scripts/generate_ref_files.py b/docs/scripts/generate_ref_files.py index 9deef7528..84ecdf148 100644 --- a/docs/scripts/generate_ref_files.py +++ b/docs/scripts/generate_ref_files.py @@ -31,6 +31,7 @@ def md_target(py_path: Path) -> Path: rel = py_path.relative_to(SRC_ROOT).with_suffix(".md") return DOCS_ROOT / rel + def pretty_title(last_segment: str) -> str: """ Convert a module/file segment like 'tool_context' to 'Tool Context'. @@ -39,6 +40,7 @@ def pretty_title(last_segment: str) -> str: cleaned = last_segment.replace("_", " ").replace("-", " ") return capwords(cleaned) + # ---- Main ------------------------------------------------------------ diff --git a/examples/realtime/twilio/README.md b/examples/realtime/twilio/README.md new file mode 100644 index 000000000..e031f5e49 --- /dev/null +++ b/examples/realtime/twilio/README.md @@ -0,0 +1,86 @@ +# Realtime Twilio Integration + +This example demonstrates how to connect the OpenAI Realtime API to a phone call using Twilio's Media Streams. The server handles incoming phone calls and streams audio between Twilio and the OpenAI Realtime API, enabling real-time voice conversations with an AI agent over the phone. + +## Prerequisites + +- Python 3.9+ +- OpenAI API key with Realtime API access +- Twilio account with a phone number +- A tunneling service like ngrok to expose your local server + +## Setup + +1. **Start the server:** + + ```bash + uv run server.py + ``` + + The server will start on port 8000 by default. + +2. **Expose the server publicly, e.g. via ngrok:** + + ```bash + ngrok http 8000 + ``` + + Note the public URL (e.g., `https://abc123.ngrok.io`) + +3. **Configure your Twilio phone number:** + - Log into your Twilio Console + - Select your phone number + - Set the webhook URL for incoming calls to: `https://your-ngrok-url.ngrok.io/incoming-call` + - Set the HTTP method to POST + +## Usage + +1. Call your Twilio phone number +2. You'll hear: "Hello! You're now connected to an AI assistant. You can start talking!" +3. Start speaking - the AI will respond in real-time +4. The assistant has access to tools like weather information and current time + +## How It Works + +1. **Incoming Call**: When someone calls your Twilio number, Twilio makes a request to `/incoming-call` +2. **TwiML Response**: The server returns TwiML that: + - Plays a greeting message + - Connects the call to a WebSocket stream at `/media-stream` +3. **WebSocket Connection**: Twilio establishes a WebSocket connection for bidirectional audio streaming +4. **Transport Layer**: The `TwilioRealtimeTransportLayer` class owns the WebSocket message handling: + - Takes ownership of the Twilio WebSocket after initial handshake + - Runs its own message loop to process all Twilio messages + - Handles protocol differences between Twilio and OpenAI + - Automatically sets G.711 μ-law audio format for Twilio compatibility + - Manages audio chunk tracking for interruption support + - Wraps the OpenAI realtime model instead of subclassing it +5. **Audio Processing**: + - Audio from the caller is base64 decoded and sent to OpenAI Realtime API + - Audio responses from OpenAI are base64 encoded and sent back to Twilio + - Twilio plays the audio to the caller + +## Configuration + +- **Port**: Set `PORT` environment variable (default: 8000) +- **OpenAI API Key**: Set `OPENAI_API_KEY` environment variable +- **Agent Instructions**: Modify the `RealtimeAgent` configuration in `server.py` +- **Tools**: Add or modify function tools in `server.py` + +## Troubleshooting + +- **WebSocket connection issues**: Ensure your ngrok URL is correct and publicly accessible +- **Audio quality**: Twilio streams audio in mulaw format at 8kHz, which may affect quality +- **Latency**: Network latency between Twilio, your server, and OpenAI affects response time +- **Logs**: Check the console output for detailed connection and error logs + +## Architecture + +``` +Phone Call → Twilio → WebSocket → TwilioRealtimeTransportLayer → OpenAI Realtime API + ↓ + RealtimeAgent with Tools + ↓ + Audio Response → Twilio → Phone Call +``` + +The `TwilioRealtimeTransportLayer` acts as a bridge between Twilio's Media Streams and OpenAI's Realtime API, handling the protocol differences and audio format conversions. It wraps the OpenAI realtime model to provide a clean interface for Twilio integration. diff --git a/examples/realtime/twilio/__init__.py b/examples/realtime/twilio/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/examples/realtime/twilio/requirements.txt b/examples/realtime/twilio/requirements.txt new file mode 100644 index 000000000..8fc858c40 --- /dev/null +++ b/examples/realtime/twilio/requirements.txt @@ -0,0 +1,4 @@ +fastapi +uvicorn[standard] +websockets +python-dotenv \ No newline at end of file diff --git a/examples/realtime/twilio/server.py b/examples/realtime/twilio/server.py new file mode 100644 index 000000000..8a753f789 --- /dev/null +++ b/examples/realtime/twilio/server.py @@ -0,0 +1,80 @@ +import os +from typing import TYPE_CHECKING + +from fastapi import FastAPI, Request, WebSocket, WebSocketDisconnect +from fastapi.responses import PlainTextResponse + +# Import TwilioHandler class - handle both module and package use cases +if TYPE_CHECKING: + # For type checking, use the relative import + from .twilio_handler import TwilioHandler +else: + # At runtime, try both import styles + try: + # Try relative import first (when used as a package) + from .twilio_handler import TwilioHandler + except ImportError: + # Fall back to direct import (when run as a script) + from twilio_handler import TwilioHandler + + +class TwilioWebSocketManager: + def __init__(self): + self.active_handlers: dict[str, TwilioHandler] = {} + + async def new_session(self, websocket: WebSocket) -> TwilioHandler: + """Create and configure a new session.""" + print("Creating twilio handler") + + handler = TwilioHandler(websocket) + return handler + + # In a real app, you'd also want to clean up/close the handler when the call ends + + +manager = TwilioWebSocketManager() +app = FastAPI() + + +@app.get("/") +async def root(): + return {"message": "Twilio Media Stream Server is running!"} + + +@app.post("/incoming-call") +@app.get("/incoming-call") +async def incoming_call(request: Request): + """Handle incoming Twilio phone calls""" + host = request.headers.get("Host") + + twiml_response = f""" + + Hello! You're now connected to an AI assistant. You can start talking! + + + +""" + return PlainTextResponse(content=twiml_response, media_type="text/xml") + + +@app.websocket("/media-stream") +async def media_stream_endpoint(websocket: WebSocket): + """WebSocket endpoint for Twilio Media Streams""" + + try: + handler = await manager.new_session(websocket) + await handler.start() + + await handler.wait_until_done() + + except WebSocketDisconnect: + print("WebSocket disconnected") + except Exception as e: + print(f"WebSocket error: {e}") + + +if __name__ == "__main__": + import uvicorn + + port = int(os.getenv("PORT", 8000)) + uvicorn.run(app, host="0.0.0.0", port=port) diff --git a/examples/realtime/twilio/twilio_handler.py b/examples/realtime/twilio/twilio_handler.py new file mode 100644 index 000000000..567015dfc --- /dev/null +++ b/examples/realtime/twilio/twilio_handler.py @@ -0,0 +1,264 @@ +from __future__ import annotations + +import asyncio +import base64 +import json +import os +import time +from datetime import datetime +from typing import Any + +from fastapi import WebSocket + +from agents import function_tool +from agents.realtime import ( + RealtimeAgent, + RealtimePlaybackTracker, + RealtimeRunner, + RealtimeSession, + RealtimeSessionEvent, +) + + +@function_tool +def get_weather(city: str) -> str: + """Get the weather in a city.""" + return f"The weather in {city} is sunny." + + +@function_tool +def get_current_time() -> str: + """Get the current time.""" + return f"The current time is {datetime.now().strftime('%H:%M:%S')}" + + +agent = RealtimeAgent( + name="Twilio Assistant", + instructions="You are a helpful assistant that starts every conversation with a creative greeting. Keep responses concise and friendly since this is a phone conversation.", + tools=[get_weather, get_current_time], +) + + +class TwilioHandler: + def __init__(self, twilio_websocket: WebSocket): + self.twilio_websocket = twilio_websocket + self._message_loop_task: asyncio.Task[None] | None = None + self.session: RealtimeSession | None = None + self.playback_tracker = RealtimePlaybackTracker() + + # Audio buffering configuration (matching CLI demo) + self.CHUNK_LENGTH_S = 0.05 # 50ms chunks like CLI demo + self.SAMPLE_RATE = 8000 # Twilio uses 8kHz for g711_ulaw + self.BUFFER_SIZE_BYTES = int(self.SAMPLE_RATE * self.CHUNK_LENGTH_S) # 50ms worth of audio + + self._stream_sid: str | None = None + self._audio_buffer: bytearray = bytearray() + self._last_buffer_send_time = time.time() + + # Mark event tracking for playback + self._mark_counter = 0 + self._mark_data: dict[ + str, tuple[str, int, int] + ] = {} # mark_id -> (item_id, content_index, byte_count) + + async def start(self) -> None: + """Start the session.""" + runner = RealtimeRunner(agent) + api_key = os.getenv("OPENAI_API_KEY") + if not api_key: + raise ValueError("OPENAI_API_KEY environment variable is required") + + self.session = await runner.run( + model_config={ + "api_key": api_key, + "initial_model_settings": { + "input_audio_format": "g711_ulaw", + "output_audio_format": "g711_ulaw", + "turn_detection": { + "type": "semantic_vad", + "interrupt_response": True, + "create_response": True, + }, + }, + "playback_tracker": self.playback_tracker, + } + ) + + await self.session.enter() + + await self.twilio_websocket.accept() + print("Twilio WebSocket connection accepted") + + self._realtime_session_task = asyncio.create_task(self._realtime_session_loop()) + self._message_loop_task = asyncio.create_task(self._twilio_message_loop()) + self._buffer_flush_task = asyncio.create_task(self._buffer_flush_loop()) + + async def wait_until_done(self) -> None: + """Wait until the session is done.""" + assert self._message_loop_task is not None + await self._message_loop_task + + async def _realtime_session_loop(self) -> None: + """Listen for events from the realtime session.""" + assert self.session is not None + try: + async for event in self.session: + await self._handle_realtime_event(event) + except Exception as e: + print(f"Error in realtime session loop: {e}") + + async def _twilio_message_loop(self) -> None: + """Listen for messages from Twilio WebSocket and handle them.""" + try: + while True: + message_text = await self.twilio_websocket.receive_text() + message = json.loads(message_text) + await self._handle_twilio_message(message) + except json.JSONDecodeError as e: + print(f"Failed to parse Twilio message as JSON: {e}") + except Exception as e: + print(f"Error in Twilio message loop: {e}") + + async def _handle_realtime_event(self, event: RealtimeSessionEvent) -> None: + """Handle events from the realtime session.""" + if event.type == "audio": + base64_audio = base64.b64encode(event.audio.data).decode("utf-8") + await self.twilio_websocket.send_text( + json.dumps( + { + "event": "media", + "streamSid": self._stream_sid, + "media": {"payload": base64_audio}, + } + ) + ) + + # Send mark event for playback tracking + self._mark_counter += 1 + mark_id = str(self._mark_counter) + self._mark_data[mark_id] = ( + event.audio.item_id, + event.audio.content_index, + len(event.audio.data), + ) + + await self.twilio_websocket.send_text( + json.dumps( + { + "event": "mark", + "streamSid": self._stream_sid, + "mark": {"name": mark_id}, + } + ) + ) + + elif event.type == "audio_interrupted": + print("Sending audio interrupted to Twilio") + await self.twilio_websocket.send_text( + json.dumps({"event": "clear", "streamSid": self._stream_sid}) + ) + elif event.type == "audio_end": + print("Audio end") + elif event.type == "raw_model_event": + pass + else: + pass + + async def _handle_twilio_message(self, message: dict[str, Any]) -> None: + """Handle incoming messages from Twilio Media Stream.""" + try: + event = message.get("event") + + if event == "connected": + print("Twilio media stream connected") + elif event == "start": + start_data = message.get("start", {}) + self._stream_sid = start_data.get("streamSid") + print(f"Media stream started with SID: {self._stream_sid}") + elif event == "media": + await self._handle_media_event(message) + elif event == "mark": + await self._handle_mark_event(message) + elif event == "stop": + print("Media stream stopped") + except Exception as e: + print(f"Error handling Twilio message: {e}") + + async def _handle_media_event(self, message: dict[str, Any]) -> None: + """Handle audio data from Twilio - buffer it before sending to OpenAI.""" + media = message.get("media", {}) + payload = media.get("payload", "") + + if payload: + try: + # Decode base64 audio from Twilio (µ-law format) + ulaw_bytes = base64.b64decode(payload) + + # Add original µ-law to buffer for OpenAI (they expect µ-law) + self._audio_buffer.extend(ulaw_bytes) + + # Send buffered audio if we have enough data + if len(self._audio_buffer) >= self.BUFFER_SIZE_BYTES: + await self._flush_audio_buffer() + + except Exception as e: + print(f"Error processing audio from Twilio: {e}") + + async def _handle_mark_event(self, message: dict[str, Any]) -> None: + """Handle mark events from Twilio to update playback tracker.""" + try: + mark_data = message.get("mark", {}) + mark_id = mark_data.get("name", "") + + # Look up stored data for this mark ID + if mark_id in self._mark_data: + item_id, item_content_index, byte_count = self._mark_data[mark_id] + + # Convert byte count back to bytes for playback tracker + audio_bytes = b"\x00" * byte_count # Placeholder bytes + + # Update playback tracker + self.playback_tracker.on_play_bytes(item_id, item_content_index, audio_bytes) + print( + f"Playback tracker updated: {item_id}, index {item_content_index}, {byte_count} bytes" + ) + + # Clean up the stored data + del self._mark_data[mark_id] + + except Exception as e: + print(f"Error handling mark event: {e}") + + async def _flush_audio_buffer(self) -> None: + """Send buffered audio to OpenAI.""" + if not self._audio_buffer or not self.session: + return + + try: + # Send the buffered audio + buffer_data = bytes(self._audio_buffer) + await self.session.send_audio(buffer_data) + + # Clear the buffer + self._audio_buffer.clear() + self._last_buffer_send_time = time.time() + + except Exception as e: + print(f"Error sending buffered audio to OpenAI: {e}") + + async def _buffer_flush_loop(self) -> None: + """Periodically flush audio buffer to prevent stale data.""" + try: + while True: + await asyncio.sleep(self.CHUNK_LENGTH_S) # Check every 50ms + + # If buffer has data and it's been too long since last send, flush it + current_time = time.time() + if ( + self._audio_buffer + and current_time - self._last_buffer_send_time > self.CHUNK_LENGTH_S * 2 + ): + await self._flush_audio_buffer() + + except Exception as e: + print(f"Error in buffer flush loop: {e}") From 80c94f4b6d85617c77922893d21feae2aedb90cb Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 29 Jul 2025 14:11:22 -0400 Subject: [PATCH 296/337] Realtime: forward all raw model events --- src/agents/realtime/model_events.py | 10 ++++++++ src/agents/realtime/openai_realtime.py | 2 ++ src/agents/realtime/session.py | 2 ++ tests/realtime/test_openai_realtime.py | 32 +++++++++++++------------- 4 files changed, 30 insertions(+), 16 deletions(-) diff --git a/src/agents/realtime/model_events.py b/src/agents/realtime/model_events.py index 43b0dd025..5aeadc0f9 100644 --- a/src/agents/realtime/model_events.py +++ b/src/agents/realtime/model_events.py @@ -156,6 +156,15 @@ class RealtimeModelExceptionEvent: type: Literal["exception"] = "exception" +@dataclass +class RealtimeModelRawServerEvent: + """Raw events forwarded from the server.""" + + data: Any + + type: Literal["raw_server_event"] = "raw_server_event" + + # TODO (rm) Add usage events @@ -174,4 +183,5 @@ class RealtimeModelExceptionEvent: RealtimeModelTurnEndedEvent, RealtimeModelOtherEvent, RealtimeModelExceptionEvent, + RealtimeModelRawServerEvent, ] diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 01a246ad2..d0189ed6b 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -86,6 +86,7 @@ RealtimeModelInputAudioTranscriptionCompletedEvent, RealtimeModelItemDeletedEvent, RealtimeModelItemUpdatedEvent, + RealtimeModelRawServerEvent, RealtimeModelToolCallEvent, RealtimeModelTranscriptDeltaEvent, RealtimeModelTurnEndedEvent, @@ -447,6 +448,7 @@ async def _cancel_response(self) -> None: self._ongoing_response = False async def _handle_ws_event(self, event: dict[str, Any]): + await self._emit_event(RealtimeModelRawServerEvent(data=event)) try: if "previous_item_id" in event and event["previous_item_id"] is None: event["previous_item_id"] = "" # TODO (rm) remove diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index d5d4d8046..5c9d77055 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -274,6 +274,8 @@ async def on_event(self, event: RealtimeModelEvent) -> None: self._stored_exception = event.exception elif event.type == "other": pass + elif event.type == "raw_server_event": + pass else: assert_never(event) diff --git a/tests/realtime/test_openai_realtime.py b/tests/realtime/test_openai_realtime.py index 704d95d40..4c410bf6e 100644 --- a/tests/realtime/test_openai_realtime.py +++ b/tests/realtime/test_openai_realtime.py @@ -180,9 +180,9 @@ async def test_handle_malformed_json_logs_error_continues(self, model): # Malformed JSON should not crash the handler await model._handle_ws_event("invalid json {") - # Should emit error event to listeners - mock_listener.on_event.assert_called_once() - error_event = mock_listener.on_event.call_args[0][0] + # Should emit raw server event and error event to listeners + assert mock_listener.on_event.call_count == 2 + error_event = mock_listener.on_event.call_args_list[1][0][0] assert error_event.type == "error" @pytest.mark.asyncio @@ -195,9 +195,9 @@ async def test_handle_invalid_event_schema_logs_error(self, model): await model._handle_ws_event(invalid_event) - # Should emit error event to listeners - mock_listener.on_event.assert_called_once() - error_event = mock_listener.on_event.call_args[0][0] + # Should emit raw server event and error event to listeners + assert mock_listener.on_event.call_count == 2 + error_event = mock_listener.on_event.call_args_list[1][0][0] assert error_event.type == "error" @pytest.mark.asyncio @@ -241,9 +241,9 @@ async def test_handle_audio_delta_event_success(self, model): await model._handle_ws_event(audio_event) - # Should emit audio event to listeners - mock_listener.on_event.assert_called_once() - emitted_event = mock_listener.on_event.call_args[0][0] + # Should emit raw server event and audio event to listeners + assert mock_listener.on_event.call_count == 2 + emitted_event = mock_listener.on_event.call_args_list[1][0][0] assert isinstance(emitted_event, RealtimeModelAudioEvent) assert emitted_event.response_id == "resp_123" assert emitted_event.data == b"test audio" # decoded from base64 @@ -274,9 +274,9 @@ async def test_handle_error_event_success(self, model): await model._handle_ws_event(error_event) - # Should emit error event to listeners - mock_listener.on_event.assert_called_once() - emitted_event = mock_listener.on_event.call_args[0][0] + # Should emit raw server event and error event to listeners + assert mock_listener.on_event.call_count == 2 + emitted_event = mock_listener.on_event.call_args_list[1][0][0] assert isinstance(emitted_event, RealtimeModelErrorEvent) @pytest.mark.asyncio @@ -303,12 +303,12 @@ async def test_handle_tool_call_event_success(self, model): await model._handle_ws_event(tool_call_event) - # Should emit both item updated and tool call events - assert mock_listener.on_event.call_count == 2 + # Should emit raw server event, item updated, and tool call events + assert mock_listener.on_event.call_count == 3 - # First should be item updated, second should be tool call + # First should be raw server event, second should be item updated, third should be tool call calls = mock_listener.on_event.call_args_list - tool_call_emitted = calls[1][0][0] + tool_call_emitted = calls[2][0][0] assert isinstance(tool_call_emitted, RealtimeModelToolCallEvent) assert tool_call_emitted.name == "get_weather" assert tool_call_emitted.arguments == '{"location": "San Francisco"}' From 7c9d79bdc798666ae9427057a00836213aad89ea Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 29 Jul 2025 14:13:46 -0400 Subject: [PATCH 297/337] Realtime: only cancel response if necessary --- src/agents/realtime/openai_realtime.py | 20 +++++++++++++++++++- 1 file changed, 19 insertions(+), 1 deletion(-) diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 2e950b0a1..01a246ad2 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -140,6 +140,7 @@ def __init__(self) -> None: self._ongoing_response: bool = False self._tracing_config: RealtimeModelTracingConfig | Literal["auto"] | None = None self._playback_tracker: RealtimePlaybackTracker | None = None + self._created_session: OpenAISessionObject | None = None async def connect(self, options: RealtimeModelConfig) -> None: """Establish a connection to the model and keep it alive.""" @@ -349,7 +350,14 @@ async def _send_interrupt(self, event: RealtimeModelSendInterrupt) -> None: int(elapsed_ms), ) await self._send_raw_message(converted) - await self._cancel_response() + + automatic_response_cancellation_enabled = ( + self._created_session + and self._created_session.turn_detection + and self._created_session.turn_detection.interrupt_response + ) + if not automatic_response_cancellation_enabled: + await self._cancel_response() self._audio_state_tracker.on_interrupted() if self._playback_tracker: @@ -483,6 +491,9 @@ async def _handle_ws_event(self, event: dict[str, Any]): await self._emit_event(RealtimeModelTurnEndedEvent()) elif parsed.type == "session.created": await self._send_tracing_config(self._tracing_config) + self._update_created_session(parsed.session) # type: ignore + elif parsed.type == "session.updated": + self._update_created_session(parsed.session) # type: ignore elif parsed.type == "error": await self._emit_event(RealtimeModelErrorEvent(error=parsed.error)) elif parsed.type == "conversation.item.deleted": @@ -532,6 +543,13 @@ async def _handle_ws_event(self, event: dict[str, Any]): ): await self._handle_output_item(parsed.item) + def _update_created_session(self, session: OpenAISessionObject) -> None: + self._created_session = session + if session.output_audio_format: + self._audio_state_tracker.set_audio_format(session.output_audio_format) + if self._playback_tracker: + self._playback_tracker.set_audio_format(session.output_audio_format) + async def _update_session_config(self, model_settings: RealtimeSessionModelSettings) -> None: session_config = self._get_session_config(model_settings) await self._send_raw_message( From 09003c3367cf3539f1d24c775afda3bf25fb717f Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 29 Jul 2025 14:13:46 -0400 Subject: [PATCH 298/337] Realtime: twilio example --- examples/realtime/twilio/README.md | 86 +++++++ examples/realtime/twilio/__init__.py | 0 examples/realtime/twilio/requirements.txt | 4 + examples/realtime/twilio/server.py | 80 +++++++ examples/realtime/twilio/twilio_handler.py | 264 +++++++++++++++++++++ 5 files changed, 434 insertions(+) create mode 100644 examples/realtime/twilio/README.md create mode 100644 examples/realtime/twilio/__init__.py create mode 100644 examples/realtime/twilio/requirements.txt create mode 100644 examples/realtime/twilio/server.py create mode 100644 examples/realtime/twilio/twilio_handler.py diff --git a/examples/realtime/twilio/README.md b/examples/realtime/twilio/README.md new file mode 100644 index 000000000..e031f5e49 --- /dev/null +++ b/examples/realtime/twilio/README.md @@ -0,0 +1,86 @@ +# Realtime Twilio Integration + +This example demonstrates how to connect the OpenAI Realtime API to a phone call using Twilio's Media Streams. The server handles incoming phone calls and streams audio between Twilio and the OpenAI Realtime API, enabling real-time voice conversations with an AI agent over the phone. + +## Prerequisites + +- Python 3.9+ +- OpenAI API key with Realtime API access +- Twilio account with a phone number +- A tunneling service like ngrok to expose your local server + +## Setup + +1. **Start the server:** + + ```bash + uv run server.py + ``` + + The server will start on port 8000 by default. + +2. **Expose the server publicly, e.g. via ngrok:** + + ```bash + ngrok http 8000 + ``` + + Note the public URL (e.g., `https://abc123.ngrok.io`) + +3. **Configure your Twilio phone number:** + - Log into your Twilio Console + - Select your phone number + - Set the webhook URL for incoming calls to: `https://your-ngrok-url.ngrok.io/incoming-call` + - Set the HTTP method to POST + +## Usage + +1. Call your Twilio phone number +2. You'll hear: "Hello! You're now connected to an AI assistant. You can start talking!" +3. Start speaking - the AI will respond in real-time +4. The assistant has access to tools like weather information and current time + +## How It Works + +1. **Incoming Call**: When someone calls your Twilio number, Twilio makes a request to `/incoming-call` +2. **TwiML Response**: The server returns TwiML that: + - Plays a greeting message + - Connects the call to a WebSocket stream at `/media-stream` +3. **WebSocket Connection**: Twilio establishes a WebSocket connection for bidirectional audio streaming +4. **Transport Layer**: The `TwilioRealtimeTransportLayer` class owns the WebSocket message handling: + - Takes ownership of the Twilio WebSocket after initial handshake + - Runs its own message loop to process all Twilio messages + - Handles protocol differences between Twilio and OpenAI + - Automatically sets G.711 μ-law audio format for Twilio compatibility + - Manages audio chunk tracking for interruption support + - Wraps the OpenAI realtime model instead of subclassing it +5. **Audio Processing**: + - Audio from the caller is base64 decoded and sent to OpenAI Realtime API + - Audio responses from OpenAI are base64 encoded and sent back to Twilio + - Twilio plays the audio to the caller + +## Configuration + +- **Port**: Set `PORT` environment variable (default: 8000) +- **OpenAI API Key**: Set `OPENAI_API_KEY` environment variable +- **Agent Instructions**: Modify the `RealtimeAgent` configuration in `server.py` +- **Tools**: Add or modify function tools in `server.py` + +## Troubleshooting + +- **WebSocket connection issues**: Ensure your ngrok URL is correct and publicly accessible +- **Audio quality**: Twilio streams audio in mulaw format at 8kHz, which may affect quality +- **Latency**: Network latency between Twilio, your server, and OpenAI affects response time +- **Logs**: Check the console output for detailed connection and error logs + +## Architecture + +``` +Phone Call → Twilio → WebSocket → TwilioRealtimeTransportLayer → OpenAI Realtime API + ↓ + RealtimeAgent with Tools + ↓ + Audio Response → Twilio → Phone Call +``` + +The `TwilioRealtimeTransportLayer` acts as a bridge between Twilio's Media Streams and OpenAI's Realtime API, handling the protocol differences and audio format conversions. It wraps the OpenAI realtime model to provide a clean interface for Twilio integration. diff --git a/examples/realtime/twilio/__init__.py b/examples/realtime/twilio/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/examples/realtime/twilio/requirements.txt b/examples/realtime/twilio/requirements.txt new file mode 100644 index 000000000..8fc858c40 --- /dev/null +++ b/examples/realtime/twilio/requirements.txt @@ -0,0 +1,4 @@ +fastapi +uvicorn[standard] +websockets +python-dotenv \ No newline at end of file diff --git a/examples/realtime/twilio/server.py b/examples/realtime/twilio/server.py new file mode 100644 index 000000000..8a753f789 --- /dev/null +++ b/examples/realtime/twilio/server.py @@ -0,0 +1,80 @@ +import os +from typing import TYPE_CHECKING + +from fastapi import FastAPI, Request, WebSocket, WebSocketDisconnect +from fastapi.responses import PlainTextResponse + +# Import TwilioHandler class - handle both module and package use cases +if TYPE_CHECKING: + # For type checking, use the relative import + from .twilio_handler import TwilioHandler +else: + # At runtime, try both import styles + try: + # Try relative import first (when used as a package) + from .twilio_handler import TwilioHandler + except ImportError: + # Fall back to direct import (when run as a script) + from twilio_handler import TwilioHandler + + +class TwilioWebSocketManager: + def __init__(self): + self.active_handlers: dict[str, TwilioHandler] = {} + + async def new_session(self, websocket: WebSocket) -> TwilioHandler: + """Create and configure a new session.""" + print("Creating twilio handler") + + handler = TwilioHandler(websocket) + return handler + + # In a real app, you'd also want to clean up/close the handler when the call ends + + +manager = TwilioWebSocketManager() +app = FastAPI() + + +@app.get("/") +async def root(): + return {"message": "Twilio Media Stream Server is running!"} + + +@app.post("/incoming-call") +@app.get("/incoming-call") +async def incoming_call(request: Request): + """Handle incoming Twilio phone calls""" + host = request.headers.get("Host") + + twiml_response = f""" + + Hello! You're now connected to an AI assistant. You can start talking! + + + +""" + return PlainTextResponse(content=twiml_response, media_type="text/xml") + + +@app.websocket("/media-stream") +async def media_stream_endpoint(websocket: WebSocket): + """WebSocket endpoint for Twilio Media Streams""" + + try: + handler = await manager.new_session(websocket) + await handler.start() + + await handler.wait_until_done() + + except WebSocketDisconnect: + print("WebSocket disconnected") + except Exception as e: + print(f"WebSocket error: {e}") + + +if __name__ == "__main__": + import uvicorn + + port = int(os.getenv("PORT", 8000)) + uvicorn.run(app, host="0.0.0.0", port=port) diff --git a/examples/realtime/twilio/twilio_handler.py b/examples/realtime/twilio/twilio_handler.py new file mode 100644 index 000000000..567015dfc --- /dev/null +++ b/examples/realtime/twilio/twilio_handler.py @@ -0,0 +1,264 @@ +from __future__ import annotations + +import asyncio +import base64 +import json +import os +import time +from datetime import datetime +from typing import Any + +from fastapi import WebSocket + +from agents import function_tool +from agents.realtime import ( + RealtimeAgent, + RealtimePlaybackTracker, + RealtimeRunner, + RealtimeSession, + RealtimeSessionEvent, +) + + +@function_tool +def get_weather(city: str) -> str: + """Get the weather in a city.""" + return f"The weather in {city} is sunny." + + +@function_tool +def get_current_time() -> str: + """Get the current time.""" + return f"The current time is {datetime.now().strftime('%H:%M:%S')}" + + +agent = RealtimeAgent( + name="Twilio Assistant", + instructions="You are a helpful assistant that starts every conversation with a creative greeting. Keep responses concise and friendly since this is a phone conversation.", + tools=[get_weather, get_current_time], +) + + +class TwilioHandler: + def __init__(self, twilio_websocket: WebSocket): + self.twilio_websocket = twilio_websocket + self._message_loop_task: asyncio.Task[None] | None = None + self.session: RealtimeSession | None = None + self.playback_tracker = RealtimePlaybackTracker() + + # Audio buffering configuration (matching CLI demo) + self.CHUNK_LENGTH_S = 0.05 # 50ms chunks like CLI demo + self.SAMPLE_RATE = 8000 # Twilio uses 8kHz for g711_ulaw + self.BUFFER_SIZE_BYTES = int(self.SAMPLE_RATE * self.CHUNK_LENGTH_S) # 50ms worth of audio + + self._stream_sid: str | None = None + self._audio_buffer: bytearray = bytearray() + self._last_buffer_send_time = time.time() + + # Mark event tracking for playback + self._mark_counter = 0 + self._mark_data: dict[ + str, tuple[str, int, int] + ] = {} # mark_id -> (item_id, content_index, byte_count) + + async def start(self) -> None: + """Start the session.""" + runner = RealtimeRunner(agent) + api_key = os.getenv("OPENAI_API_KEY") + if not api_key: + raise ValueError("OPENAI_API_KEY environment variable is required") + + self.session = await runner.run( + model_config={ + "api_key": api_key, + "initial_model_settings": { + "input_audio_format": "g711_ulaw", + "output_audio_format": "g711_ulaw", + "turn_detection": { + "type": "semantic_vad", + "interrupt_response": True, + "create_response": True, + }, + }, + "playback_tracker": self.playback_tracker, + } + ) + + await self.session.enter() + + await self.twilio_websocket.accept() + print("Twilio WebSocket connection accepted") + + self._realtime_session_task = asyncio.create_task(self._realtime_session_loop()) + self._message_loop_task = asyncio.create_task(self._twilio_message_loop()) + self._buffer_flush_task = asyncio.create_task(self._buffer_flush_loop()) + + async def wait_until_done(self) -> None: + """Wait until the session is done.""" + assert self._message_loop_task is not None + await self._message_loop_task + + async def _realtime_session_loop(self) -> None: + """Listen for events from the realtime session.""" + assert self.session is not None + try: + async for event in self.session: + await self._handle_realtime_event(event) + except Exception as e: + print(f"Error in realtime session loop: {e}") + + async def _twilio_message_loop(self) -> None: + """Listen for messages from Twilio WebSocket and handle them.""" + try: + while True: + message_text = await self.twilio_websocket.receive_text() + message = json.loads(message_text) + await self._handle_twilio_message(message) + except json.JSONDecodeError as e: + print(f"Failed to parse Twilio message as JSON: {e}") + except Exception as e: + print(f"Error in Twilio message loop: {e}") + + async def _handle_realtime_event(self, event: RealtimeSessionEvent) -> None: + """Handle events from the realtime session.""" + if event.type == "audio": + base64_audio = base64.b64encode(event.audio.data).decode("utf-8") + await self.twilio_websocket.send_text( + json.dumps( + { + "event": "media", + "streamSid": self._stream_sid, + "media": {"payload": base64_audio}, + } + ) + ) + + # Send mark event for playback tracking + self._mark_counter += 1 + mark_id = str(self._mark_counter) + self._mark_data[mark_id] = ( + event.audio.item_id, + event.audio.content_index, + len(event.audio.data), + ) + + await self.twilio_websocket.send_text( + json.dumps( + { + "event": "mark", + "streamSid": self._stream_sid, + "mark": {"name": mark_id}, + } + ) + ) + + elif event.type == "audio_interrupted": + print("Sending audio interrupted to Twilio") + await self.twilio_websocket.send_text( + json.dumps({"event": "clear", "streamSid": self._stream_sid}) + ) + elif event.type == "audio_end": + print("Audio end") + elif event.type == "raw_model_event": + pass + else: + pass + + async def _handle_twilio_message(self, message: dict[str, Any]) -> None: + """Handle incoming messages from Twilio Media Stream.""" + try: + event = message.get("event") + + if event == "connected": + print("Twilio media stream connected") + elif event == "start": + start_data = message.get("start", {}) + self._stream_sid = start_data.get("streamSid") + print(f"Media stream started with SID: {self._stream_sid}") + elif event == "media": + await self._handle_media_event(message) + elif event == "mark": + await self._handle_mark_event(message) + elif event == "stop": + print("Media stream stopped") + except Exception as e: + print(f"Error handling Twilio message: {e}") + + async def _handle_media_event(self, message: dict[str, Any]) -> None: + """Handle audio data from Twilio - buffer it before sending to OpenAI.""" + media = message.get("media", {}) + payload = media.get("payload", "") + + if payload: + try: + # Decode base64 audio from Twilio (µ-law format) + ulaw_bytes = base64.b64decode(payload) + + # Add original µ-law to buffer for OpenAI (they expect µ-law) + self._audio_buffer.extend(ulaw_bytes) + + # Send buffered audio if we have enough data + if len(self._audio_buffer) >= self.BUFFER_SIZE_BYTES: + await self._flush_audio_buffer() + + except Exception as e: + print(f"Error processing audio from Twilio: {e}") + + async def _handle_mark_event(self, message: dict[str, Any]) -> None: + """Handle mark events from Twilio to update playback tracker.""" + try: + mark_data = message.get("mark", {}) + mark_id = mark_data.get("name", "") + + # Look up stored data for this mark ID + if mark_id in self._mark_data: + item_id, item_content_index, byte_count = self._mark_data[mark_id] + + # Convert byte count back to bytes for playback tracker + audio_bytes = b"\x00" * byte_count # Placeholder bytes + + # Update playback tracker + self.playback_tracker.on_play_bytes(item_id, item_content_index, audio_bytes) + print( + f"Playback tracker updated: {item_id}, index {item_content_index}, {byte_count} bytes" + ) + + # Clean up the stored data + del self._mark_data[mark_id] + + except Exception as e: + print(f"Error handling mark event: {e}") + + async def _flush_audio_buffer(self) -> None: + """Send buffered audio to OpenAI.""" + if not self._audio_buffer or not self.session: + return + + try: + # Send the buffered audio + buffer_data = bytes(self._audio_buffer) + await self.session.send_audio(buffer_data) + + # Clear the buffer + self._audio_buffer.clear() + self._last_buffer_send_time = time.time() + + except Exception as e: + print(f"Error sending buffered audio to OpenAI: {e}") + + async def _buffer_flush_loop(self) -> None: + """Periodically flush audio buffer to prevent stale data.""" + try: + while True: + await asyncio.sleep(self.CHUNK_LENGTH_S) # Check every 50ms + + # If buffer has data and it's been too long since last send, flush it + current_time = time.time() + if ( + self._audio_buffer + and current_time - self._last_buffer_send_time > self.CHUNK_LENGTH_S * 2 + ): + await self._flush_audio_buffer() + + except Exception as e: + print(f"Error in buffer flush loop: {e}") From 2b680a1c5220a2c60ee8f466d1ff4a6a7726e7db Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 29 Jul 2025 14:13:46 -0400 Subject: [PATCH 299/337] Realtime: forward all raw model events --- src/agents/realtime/model_events.py | 10 ++++++++ src/agents/realtime/openai_realtime.py | 2 ++ src/agents/realtime/session.py | 2 ++ tests/realtime/test_openai_realtime.py | 32 +++++++++++++------------- 4 files changed, 30 insertions(+), 16 deletions(-) diff --git a/src/agents/realtime/model_events.py b/src/agents/realtime/model_events.py index 43b0dd025..5aeadc0f9 100644 --- a/src/agents/realtime/model_events.py +++ b/src/agents/realtime/model_events.py @@ -156,6 +156,15 @@ class RealtimeModelExceptionEvent: type: Literal["exception"] = "exception" +@dataclass +class RealtimeModelRawServerEvent: + """Raw events forwarded from the server.""" + + data: Any + + type: Literal["raw_server_event"] = "raw_server_event" + + # TODO (rm) Add usage events @@ -174,4 +183,5 @@ class RealtimeModelExceptionEvent: RealtimeModelTurnEndedEvent, RealtimeModelOtherEvent, RealtimeModelExceptionEvent, + RealtimeModelRawServerEvent, ] diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 01a246ad2..d0189ed6b 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -86,6 +86,7 @@ RealtimeModelInputAudioTranscriptionCompletedEvent, RealtimeModelItemDeletedEvent, RealtimeModelItemUpdatedEvent, + RealtimeModelRawServerEvent, RealtimeModelToolCallEvent, RealtimeModelTranscriptDeltaEvent, RealtimeModelTurnEndedEvent, @@ -447,6 +448,7 @@ async def _cancel_response(self) -> None: self._ongoing_response = False async def _handle_ws_event(self, event: dict[str, Any]): + await self._emit_event(RealtimeModelRawServerEvent(data=event)) try: if "previous_item_id" in event and event["previous_item_id"] is None: event["previous_item_id"] = "" # TODO (rm) remove diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index d5d4d8046..5c9d77055 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -274,6 +274,8 @@ async def on_event(self, event: RealtimeModelEvent) -> None: self._stored_exception = event.exception elif event.type == "other": pass + elif event.type == "raw_server_event": + pass else: assert_never(event) diff --git a/tests/realtime/test_openai_realtime.py b/tests/realtime/test_openai_realtime.py index 704d95d40..4c410bf6e 100644 --- a/tests/realtime/test_openai_realtime.py +++ b/tests/realtime/test_openai_realtime.py @@ -180,9 +180,9 @@ async def test_handle_malformed_json_logs_error_continues(self, model): # Malformed JSON should not crash the handler await model._handle_ws_event("invalid json {") - # Should emit error event to listeners - mock_listener.on_event.assert_called_once() - error_event = mock_listener.on_event.call_args[0][0] + # Should emit raw server event and error event to listeners + assert mock_listener.on_event.call_count == 2 + error_event = mock_listener.on_event.call_args_list[1][0][0] assert error_event.type == "error" @pytest.mark.asyncio @@ -195,9 +195,9 @@ async def test_handle_invalid_event_schema_logs_error(self, model): await model._handle_ws_event(invalid_event) - # Should emit error event to listeners - mock_listener.on_event.assert_called_once() - error_event = mock_listener.on_event.call_args[0][0] + # Should emit raw server event and error event to listeners + assert mock_listener.on_event.call_count == 2 + error_event = mock_listener.on_event.call_args_list[1][0][0] assert error_event.type == "error" @pytest.mark.asyncio @@ -241,9 +241,9 @@ async def test_handle_audio_delta_event_success(self, model): await model._handle_ws_event(audio_event) - # Should emit audio event to listeners - mock_listener.on_event.assert_called_once() - emitted_event = mock_listener.on_event.call_args[0][0] + # Should emit raw server event and audio event to listeners + assert mock_listener.on_event.call_count == 2 + emitted_event = mock_listener.on_event.call_args_list[1][0][0] assert isinstance(emitted_event, RealtimeModelAudioEvent) assert emitted_event.response_id == "resp_123" assert emitted_event.data == b"test audio" # decoded from base64 @@ -274,9 +274,9 @@ async def test_handle_error_event_success(self, model): await model._handle_ws_event(error_event) - # Should emit error event to listeners - mock_listener.on_event.assert_called_once() - emitted_event = mock_listener.on_event.call_args[0][0] + # Should emit raw server event and error event to listeners + assert mock_listener.on_event.call_count == 2 + emitted_event = mock_listener.on_event.call_args_list[1][0][0] assert isinstance(emitted_event, RealtimeModelErrorEvent) @pytest.mark.asyncio @@ -303,12 +303,12 @@ async def test_handle_tool_call_event_success(self, model): await model._handle_ws_event(tool_call_event) - # Should emit both item updated and tool call events - assert mock_listener.on_event.call_count == 2 + # Should emit raw server event, item updated, and tool call events + assert mock_listener.on_event.call_count == 3 - # First should be item updated, second should be tool call + # First should be raw server event, second should be item updated, third should be tool call calls = mock_listener.on_event.call_args_list - tool_call_emitted = calls[1][0][0] + tool_call_emitted = calls[2][0][0] assert isinstance(tool_call_emitted, RealtimeModelToolCallEvent) assert tool_call_emitted.name == "get_weather" assert tool_call_emitted.arguments == '{"location": "San Francisco"}' From c7335752bf2ad431af0a56af0bd1ef18f42c8a19 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 29 Jul 2025 14:18:49 -0400 Subject: [PATCH 300/337] Realtime: twilio example --- examples/realtime/twilio/README.md | 86 +++++++ examples/realtime/twilio/__init__.py | 0 examples/realtime/twilio/requirements.txt | 5 + examples/realtime/twilio/server.py | 80 +++++++ examples/realtime/twilio/twilio_handler.py | 264 +++++++++++++++++++++ 5 files changed, 435 insertions(+) create mode 100644 examples/realtime/twilio/README.md create mode 100644 examples/realtime/twilio/__init__.py create mode 100644 examples/realtime/twilio/requirements.txt create mode 100644 examples/realtime/twilio/server.py create mode 100644 examples/realtime/twilio/twilio_handler.py diff --git a/examples/realtime/twilio/README.md b/examples/realtime/twilio/README.md new file mode 100644 index 000000000..e92f0681a --- /dev/null +++ b/examples/realtime/twilio/README.md @@ -0,0 +1,86 @@ +# Realtime Twilio Integration + +This example demonstrates how to connect the OpenAI Realtime API to a phone call using Twilio's Media Streams. The server handles incoming phone calls and streams audio between Twilio and the OpenAI Realtime API, enabling real-time voice conversations with an AI agent over the phone. + +## Prerequisites + +- Python 3.9+ +- OpenAI API key with [Realtime API](https://platform.openai.com/docs/guides/realtime) access +- [Twilio](https://www.twilio.com/docs/voice) account with a phone number +- A tunneling service like [ngrok](https://ngrok.com/) to expose your local server + +## Setup + +1. **Start the server:** + + ```bash + uv run server.py + ``` + + The server will start on port 8000 by default. + +2. **Expose the server publicly, e.g. via ngrok:** + + ```bash + ngrok http 8000 + ``` + + Note the public URL (e.g., `https://abc123.ngrok.io`) + +3. **Configure your Twilio phone number:** + - Log into your Twilio Console + - Select your phone number + - Set the webhook URL for incoming calls to: `https://your-ngrok-url.ngrok.io/incoming-call` + - Set the HTTP method to POST + +## Usage + +1. Call your Twilio phone number +2. You'll hear: "Hello! You're now connected to an AI assistant. You can start talking!" +3. Start speaking - the AI will respond in real-time +4. The assistant has access to tools like weather information and current time + +## How It Works + +1. **Incoming Call**: When someone calls your Twilio number, Twilio makes a request to `/incoming-call` +2. **TwiML Response**: The server returns TwiML that: + - Plays a greeting message + - Connects the call to a WebSocket stream at `/media-stream` +3. **WebSocket Connection**: Twilio establishes a WebSocket connection for bidirectional audio streaming +4. **Transport Layer**: The `TwilioRealtimeTransportLayer` class owns the WebSocket message handling: + - Takes ownership of the Twilio WebSocket after initial handshake + - Runs its own message loop to process all Twilio messages + - Handles protocol differences between Twilio and OpenAI + - Automatically sets G.711 μ-law audio format for Twilio compatibility + - Manages audio chunk tracking for interruption support + - Wraps the OpenAI realtime model instead of subclassing it +5. **Audio Processing**: + - Audio from the caller is base64 decoded and sent to OpenAI Realtime API + - Audio responses from OpenAI are base64 encoded and sent back to Twilio + - Twilio plays the audio to the caller + +## Configuration + +- **Port**: Set `PORT` environment variable (default: 8000) +- **OpenAI API Key**: Set `OPENAI_API_KEY` environment variable +- **Agent Instructions**: Modify the `RealtimeAgent` configuration in `server.py` +- **Tools**: Add or modify function tools in `server.py` + +## Troubleshooting + +- **WebSocket connection issues**: Ensure your ngrok URL is correct and publicly accessible +- **Audio quality**: Twilio streams audio in mulaw format at 8kHz, which may affect quality +- **Latency**: Network latency between Twilio, your server, and OpenAI affects response time +- **Logs**: Check the console output for detailed connection and error logs + +## Architecture + +``` +Phone Call → Twilio → WebSocket → TwilioRealtimeTransportLayer → OpenAI Realtime API + ↓ + RealtimeAgent with Tools + ↓ + Audio Response → Twilio → Phone Call +``` + +The `TwilioRealtimeTransportLayer` acts as a bridge between Twilio's Media Streams and OpenAI's Realtime API, handling the protocol differences and audio format conversions. It wraps the OpenAI realtime model to provide a clean interface for Twilio integration. diff --git a/examples/realtime/twilio/__init__.py b/examples/realtime/twilio/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/examples/realtime/twilio/requirements.txt b/examples/realtime/twilio/requirements.txt new file mode 100644 index 000000000..3fcc0b0fe --- /dev/null +++ b/examples/realtime/twilio/requirements.txt @@ -0,0 +1,5 @@ +openai-agents +fastapi +uvicorn[standard] +websockets +python-dotenv \ No newline at end of file diff --git a/examples/realtime/twilio/server.py b/examples/realtime/twilio/server.py new file mode 100644 index 000000000..8a753f789 --- /dev/null +++ b/examples/realtime/twilio/server.py @@ -0,0 +1,80 @@ +import os +from typing import TYPE_CHECKING + +from fastapi import FastAPI, Request, WebSocket, WebSocketDisconnect +from fastapi.responses import PlainTextResponse + +# Import TwilioHandler class - handle both module and package use cases +if TYPE_CHECKING: + # For type checking, use the relative import + from .twilio_handler import TwilioHandler +else: + # At runtime, try both import styles + try: + # Try relative import first (when used as a package) + from .twilio_handler import TwilioHandler + except ImportError: + # Fall back to direct import (when run as a script) + from twilio_handler import TwilioHandler + + +class TwilioWebSocketManager: + def __init__(self): + self.active_handlers: dict[str, TwilioHandler] = {} + + async def new_session(self, websocket: WebSocket) -> TwilioHandler: + """Create and configure a new session.""" + print("Creating twilio handler") + + handler = TwilioHandler(websocket) + return handler + + # In a real app, you'd also want to clean up/close the handler when the call ends + + +manager = TwilioWebSocketManager() +app = FastAPI() + + +@app.get("/") +async def root(): + return {"message": "Twilio Media Stream Server is running!"} + + +@app.post("/incoming-call") +@app.get("/incoming-call") +async def incoming_call(request: Request): + """Handle incoming Twilio phone calls""" + host = request.headers.get("Host") + + twiml_response = f""" + + Hello! You're now connected to an AI assistant. You can start talking! + + + +""" + return PlainTextResponse(content=twiml_response, media_type="text/xml") + + +@app.websocket("/media-stream") +async def media_stream_endpoint(websocket: WebSocket): + """WebSocket endpoint for Twilio Media Streams""" + + try: + handler = await manager.new_session(websocket) + await handler.start() + + await handler.wait_until_done() + + except WebSocketDisconnect: + print("WebSocket disconnected") + except Exception as e: + print(f"WebSocket error: {e}") + + +if __name__ == "__main__": + import uvicorn + + port = int(os.getenv("PORT", 8000)) + uvicorn.run(app, host="0.0.0.0", port=port) diff --git a/examples/realtime/twilio/twilio_handler.py b/examples/realtime/twilio/twilio_handler.py new file mode 100644 index 000000000..567015dfc --- /dev/null +++ b/examples/realtime/twilio/twilio_handler.py @@ -0,0 +1,264 @@ +from __future__ import annotations + +import asyncio +import base64 +import json +import os +import time +from datetime import datetime +from typing import Any + +from fastapi import WebSocket + +from agents import function_tool +from agents.realtime import ( + RealtimeAgent, + RealtimePlaybackTracker, + RealtimeRunner, + RealtimeSession, + RealtimeSessionEvent, +) + + +@function_tool +def get_weather(city: str) -> str: + """Get the weather in a city.""" + return f"The weather in {city} is sunny." + + +@function_tool +def get_current_time() -> str: + """Get the current time.""" + return f"The current time is {datetime.now().strftime('%H:%M:%S')}" + + +agent = RealtimeAgent( + name="Twilio Assistant", + instructions="You are a helpful assistant that starts every conversation with a creative greeting. Keep responses concise and friendly since this is a phone conversation.", + tools=[get_weather, get_current_time], +) + + +class TwilioHandler: + def __init__(self, twilio_websocket: WebSocket): + self.twilio_websocket = twilio_websocket + self._message_loop_task: asyncio.Task[None] | None = None + self.session: RealtimeSession | None = None + self.playback_tracker = RealtimePlaybackTracker() + + # Audio buffering configuration (matching CLI demo) + self.CHUNK_LENGTH_S = 0.05 # 50ms chunks like CLI demo + self.SAMPLE_RATE = 8000 # Twilio uses 8kHz for g711_ulaw + self.BUFFER_SIZE_BYTES = int(self.SAMPLE_RATE * self.CHUNK_LENGTH_S) # 50ms worth of audio + + self._stream_sid: str | None = None + self._audio_buffer: bytearray = bytearray() + self._last_buffer_send_time = time.time() + + # Mark event tracking for playback + self._mark_counter = 0 + self._mark_data: dict[ + str, tuple[str, int, int] + ] = {} # mark_id -> (item_id, content_index, byte_count) + + async def start(self) -> None: + """Start the session.""" + runner = RealtimeRunner(agent) + api_key = os.getenv("OPENAI_API_KEY") + if not api_key: + raise ValueError("OPENAI_API_KEY environment variable is required") + + self.session = await runner.run( + model_config={ + "api_key": api_key, + "initial_model_settings": { + "input_audio_format": "g711_ulaw", + "output_audio_format": "g711_ulaw", + "turn_detection": { + "type": "semantic_vad", + "interrupt_response": True, + "create_response": True, + }, + }, + "playback_tracker": self.playback_tracker, + } + ) + + await self.session.enter() + + await self.twilio_websocket.accept() + print("Twilio WebSocket connection accepted") + + self._realtime_session_task = asyncio.create_task(self._realtime_session_loop()) + self._message_loop_task = asyncio.create_task(self._twilio_message_loop()) + self._buffer_flush_task = asyncio.create_task(self._buffer_flush_loop()) + + async def wait_until_done(self) -> None: + """Wait until the session is done.""" + assert self._message_loop_task is not None + await self._message_loop_task + + async def _realtime_session_loop(self) -> None: + """Listen for events from the realtime session.""" + assert self.session is not None + try: + async for event in self.session: + await self._handle_realtime_event(event) + except Exception as e: + print(f"Error in realtime session loop: {e}") + + async def _twilio_message_loop(self) -> None: + """Listen for messages from Twilio WebSocket and handle them.""" + try: + while True: + message_text = await self.twilio_websocket.receive_text() + message = json.loads(message_text) + await self._handle_twilio_message(message) + except json.JSONDecodeError as e: + print(f"Failed to parse Twilio message as JSON: {e}") + except Exception as e: + print(f"Error in Twilio message loop: {e}") + + async def _handle_realtime_event(self, event: RealtimeSessionEvent) -> None: + """Handle events from the realtime session.""" + if event.type == "audio": + base64_audio = base64.b64encode(event.audio.data).decode("utf-8") + await self.twilio_websocket.send_text( + json.dumps( + { + "event": "media", + "streamSid": self._stream_sid, + "media": {"payload": base64_audio}, + } + ) + ) + + # Send mark event for playback tracking + self._mark_counter += 1 + mark_id = str(self._mark_counter) + self._mark_data[mark_id] = ( + event.audio.item_id, + event.audio.content_index, + len(event.audio.data), + ) + + await self.twilio_websocket.send_text( + json.dumps( + { + "event": "mark", + "streamSid": self._stream_sid, + "mark": {"name": mark_id}, + } + ) + ) + + elif event.type == "audio_interrupted": + print("Sending audio interrupted to Twilio") + await self.twilio_websocket.send_text( + json.dumps({"event": "clear", "streamSid": self._stream_sid}) + ) + elif event.type == "audio_end": + print("Audio end") + elif event.type == "raw_model_event": + pass + else: + pass + + async def _handle_twilio_message(self, message: dict[str, Any]) -> None: + """Handle incoming messages from Twilio Media Stream.""" + try: + event = message.get("event") + + if event == "connected": + print("Twilio media stream connected") + elif event == "start": + start_data = message.get("start", {}) + self._stream_sid = start_data.get("streamSid") + print(f"Media stream started with SID: {self._stream_sid}") + elif event == "media": + await self._handle_media_event(message) + elif event == "mark": + await self._handle_mark_event(message) + elif event == "stop": + print("Media stream stopped") + except Exception as e: + print(f"Error handling Twilio message: {e}") + + async def _handle_media_event(self, message: dict[str, Any]) -> None: + """Handle audio data from Twilio - buffer it before sending to OpenAI.""" + media = message.get("media", {}) + payload = media.get("payload", "") + + if payload: + try: + # Decode base64 audio from Twilio (µ-law format) + ulaw_bytes = base64.b64decode(payload) + + # Add original µ-law to buffer for OpenAI (they expect µ-law) + self._audio_buffer.extend(ulaw_bytes) + + # Send buffered audio if we have enough data + if len(self._audio_buffer) >= self.BUFFER_SIZE_BYTES: + await self._flush_audio_buffer() + + except Exception as e: + print(f"Error processing audio from Twilio: {e}") + + async def _handle_mark_event(self, message: dict[str, Any]) -> None: + """Handle mark events from Twilio to update playback tracker.""" + try: + mark_data = message.get("mark", {}) + mark_id = mark_data.get("name", "") + + # Look up stored data for this mark ID + if mark_id in self._mark_data: + item_id, item_content_index, byte_count = self._mark_data[mark_id] + + # Convert byte count back to bytes for playback tracker + audio_bytes = b"\x00" * byte_count # Placeholder bytes + + # Update playback tracker + self.playback_tracker.on_play_bytes(item_id, item_content_index, audio_bytes) + print( + f"Playback tracker updated: {item_id}, index {item_content_index}, {byte_count} bytes" + ) + + # Clean up the stored data + del self._mark_data[mark_id] + + except Exception as e: + print(f"Error handling mark event: {e}") + + async def _flush_audio_buffer(self) -> None: + """Send buffered audio to OpenAI.""" + if not self._audio_buffer or not self.session: + return + + try: + # Send the buffered audio + buffer_data = bytes(self._audio_buffer) + await self.session.send_audio(buffer_data) + + # Clear the buffer + self._audio_buffer.clear() + self._last_buffer_send_time = time.time() + + except Exception as e: + print(f"Error sending buffered audio to OpenAI: {e}") + + async def _buffer_flush_loop(self) -> None: + """Periodically flush audio buffer to prevent stale data.""" + try: + while True: + await asyncio.sleep(self.CHUNK_LENGTH_S) # Check every 50ms + + # If buffer has data and it's been too long since last send, flush it + current_time = time.time() + if ( + self._audio_buffer + and current_time - self._last_buffer_send_time > self.CHUNK_LENGTH_S * 2 + ): + await self._flush_audio_buffer() + + except Exception as e: + print(f"Error in buffer flush loop: {e}") From ebd056751c9d1bf66fe57a20642acba58fcca251 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 29 Jul 2025 14:18:49 -0400 Subject: [PATCH 301/337] Realtime: forward all raw model events --- src/agents/realtime/model_events.py | 10 ++++++++ src/agents/realtime/openai_realtime.py | 2 ++ src/agents/realtime/session.py | 2 ++ tests/realtime/test_openai_realtime.py | 32 +++++++++++++------------- 4 files changed, 30 insertions(+), 16 deletions(-) diff --git a/src/agents/realtime/model_events.py b/src/agents/realtime/model_events.py index 43b0dd025..5aeadc0f9 100644 --- a/src/agents/realtime/model_events.py +++ b/src/agents/realtime/model_events.py @@ -156,6 +156,15 @@ class RealtimeModelExceptionEvent: type: Literal["exception"] = "exception" +@dataclass +class RealtimeModelRawServerEvent: + """Raw events forwarded from the server.""" + + data: Any + + type: Literal["raw_server_event"] = "raw_server_event" + + # TODO (rm) Add usage events @@ -174,4 +183,5 @@ class RealtimeModelExceptionEvent: RealtimeModelTurnEndedEvent, RealtimeModelOtherEvent, RealtimeModelExceptionEvent, + RealtimeModelRawServerEvent, ] diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 01a246ad2..d0189ed6b 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -86,6 +86,7 @@ RealtimeModelInputAudioTranscriptionCompletedEvent, RealtimeModelItemDeletedEvent, RealtimeModelItemUpdatedEvent, + RealtimeModelRawServerEvent, RealtimeModelToolCallEvent, RealtimeModelTranscriptDeltaEvent, RealtimeModelTurnEndedEvent, @@ -447,6 +448,7 @@ async def _cancel_response(self) -> None: self._ongoing_response = False async def _handle_ws_event(self, event: dict[str, Any]): + await self._emit_event(RealtimeModelRawServerEvent(data=event)) try: if "previous_item_id" in event and event["previous_item_id"] is None: event["previous_item_id"] = "" # TODO (rm) remove diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index d5d4d8046..5c9d77055 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -274,6 +274,8 @@ async def on_event(self, event: RealtimeModelEvent) -> None: self._stored_exception = event.exception elif event.type == "other": pass + elif event.type == "raw_server_event": + pass else: assert_never(event) diff --git a/tests/realtime/test_openai_realtime.py b/tests/realtime/test_openai_realtime.py index 704d95d40..4c410bf6e 100644 --- a/tests/realtime/test_openai_realtime.py +++ b/tests/realtime/test_openai_realtime.py @@ -180,9 +180,9 @@ async def test_handle_malformed_json_logs_error_continues(self, model): # Malformed JSON should not crash the handler await model._handle_ws_event("invalid json {") - # Should emit error event to listeners - mock_listener.on_event.assert_called_once() - error_event = mock_listener.on_event.call_args[0][0] + # Should emit raw server event and error event to listeners + assert mock_listener.on_event.call_count == 2 + error_event = mock_listener.on_event.call_args_list[1][0][0] assert error_event.type == "error" @pytest.mark.asyncio @@ -195,9 +195,9 @@ async def test_handle_invalid_event_schema_logs_error(self, model): await model._handle_ws_event(invalid_event) - # Should emit error event to listeners - mock_listener.on_event.assert_called_once() - error_event = mock_listener.on_event.call_args[0][0] + # Should emit raw server event and error event to listeners + assert mock_listener.on_event.call_count == 2 + error_event = mock_listener.on_event.call_args_list[1][0][0] assert error_event.type == "error" @pytest.mark.asyncio @@ -241,9 +241,9 @@ async def test_handle_audio_delta_event_success(self, model): await model._handle_ws_event(audio_event) - # Should emit audio event to listeners - mock_listener.on_event.assert_called_once() - emitted_event = mock_listener.on_event.call_args[0][0] + # Should emit raw server event and audio event to listeners + assert mock_listener.on_event.call_count == 2 + emitted_event = mock_listener.on_event.call_args_list[1][0][0] assert isinstance(emitted_event, RealtimeModelAudioEvent) assert emitted_event.response_id == "resp_123" assert emitted_event.data == b"test audio" # decoded from base64 @@ -274,9 +274,9 @@ async def test_handle_error_event_success(self, model): await model._handle_ws_event(error_event) - # Should emit error event to listeners - mock_listener.on_event.assert_called_once() - emitted_event = mock_listener.on_event.call_args[0][0] + # Should emit raw server event and error event to listeners + assert mock_listener.on_event.call_count == 2 + emitted_event = mock_listener.on_event.call_args_list[1][0][0] assert isinstance(emitted_event, RealtimeModelErrorEvent) @pytest.mark.asyncio @@ -303,12 +303,12 @@ async def test_handle_tool_call_event_success(self, model): await model._handle_ws_event(tool_call_event) - # Should emit both item updated and tool call events - assert mock_listener.on_event.call_count == 2 + # Should emit raw server event, item updated, and tool call events + assert mock_listener.on_event.call_count == 3 - # First should be item updated, second should be tool call + # First should be raw server event, second should be item updated, third should be tool call calls = mock_listener.on_event.call_args_list - tool_call_emitted = calls[1][0][0] + tool_call_emitted = calls[2][0][0] assert isinstance(tool_call_emitted, RealtimeModelToolCallEvent) assert tool_call_emitted.name == "get_weather" assert tool_call_emitted.arguments == '{"location": "San Francisco"}' From 68709c59ab6809a3d8b3ea9fb1aed38cb7c0cddf Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 29 Jul 2025 14:21:36 -0400 Subject: [PATCH 302/337] Realtime: forward all raw model events --- src/agents/realtime/model_events.py | 10 ++++++++ src/agents/realtime/openai_realtime.py | 2 ++ src/agents/realtime/session.py | 2 ++ tests/realtime/test_openai_realtime.py | 32 +++++++++++++------------- 4 files changed, 30 insertions(+), 16 deletions(-) diff --git a/src/agents/realtime/model_events.py b/src/agents/realtime/model_events.py index 43b0dd025..5aeadc0f9 100644 --- a/src/agents/realtime/model_events.py +++ b/src/agents/realtime/model_events.py @@ -156,6 +156,15 @@ class RealtimeModelExceptionEvent: type: Literal["exception"] = "exception" +@dataclass +class RealtimeModelRawServerEvent: + """Raw events forwarded from the server.""" + + data: Any + + type: Literal["raw_server_event"] = "raw_server_event" + + # TODO (rm) Add usage events @@ -174,4 +183,5 @@ class RealtimeModelExceptionEvent: RealtimeModelTurnEndedEvent, RealtimeModelOtherEvent, RealtimeModelExceptionEvent, + RealtimeModelRawServerEvent, ] diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 01a246ad2..d0189ed6b 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -86,6 +86,7 @@ RealtimeModelInputAudioTranscriptionCompletedEvent, RealtimeModelItemDeletedEvent, RealtimeModelItemUpdatedEvent, + RealtimeModelRawServerEvent, RealtimeModelToolCallEvent, RealtimeModelTranscriptDeltaEvent, RealtimeModelTurnEndedEvent, @@ -447,6 +448,7 @@ async def _cancel_response(self) -> None: self._ongoing_response = False async def _handle_ws_event(self, event: dict[str, Any]): + await self._emit_event(RealtimeModelRawServerEvent(data=event)) try: if "previous_item_id" in event and event["previous_item_id"] is None: event["previous_item_id"] = "" # TODO (rm) remove diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index d5d4d8046..5c9d77055 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -274,6 +274,8 @@ async def on_event(self, event: RealtimeModelEvent) -> None: self._stored_exception = event.exception elif event.type == "other": pass + elif event.type == "raw_server_event": + pass else: assert_never(event) diff --git a/tests/realtime/test_openai_realtime.py b/tests/realtime/test_openai_realtime.py index 704d95d40..4c410bf6e 100644 --- a/tests/realtime/test_openai_realtime.py +++ b/tests/realtime/test_openai_realtime.py @@ -180,9 +180,9 @@ async def test_handle_malformed_json_logs_error_continues(self, model): # Malformed JSON should not crash the handler await model._handle_ws_event("invalid json {") - # Should emit error event to listeners - mock_listener.on_event.assert_called_once() - error_event = mock_listener.on_event.call_args[0][0] + # Should emit raw server event and error event to listeners + assert mock_listener.on_event.call_count == 2 + error_event = mock_listener.on_event.call_args_list[1][0][0] assert error_event.type == "error" @pytest.mark.asyncio @@ -195,9 +195,9 @@ async def test_handle_invalid_event_schema_logs_error(self, model): await model._handle_ws_event(invalid_event) - # Should emit error event to listeners - mock_listener.on_event.assert_called_once() - error_event = mock_listener.on_event.call_args[0][0] + # Should emit raw server event and error event to listeners + assert mock_listener.on_event.call_count == 2 + error_event = mock_listener.on_event.call_args_list[1][0][0] assert error_event.type == "error" @pytest.mark.asyncio @@ -241,9 +241,9 @@ async def test_handle_audio_delta_event_success(self, model): await model._handle_ws_event(audio_event) - # Should emit audio event to listeners - mock_listener.on_event.assert_called_once() - emitted_event = mock_listener.on_event.call_args[0][0] + # Should emit raw server event and audio event to listeners + assert mock_listener.on_event.call_count == 2 + emitted_event = mock_listener.on_event.call_args_list[1][0][0] assert isinstance(emitted_event, RealtimeModelAudioEvent) assert emitted_event.response_id == "resp_123" assert emitted_event.data == b"test audio" # decoded from base64 @@ -274,9 +274,9 @@ async def test_handle_error_event_success(self, model): await model._handle_ws_event(error_event) - # Should emit error event to listeners - mock_listener.on_event.assert_called_once() - emitted_event = mock_listener.on_event.call_args[0][0] + # Should emit raw server event and error event to listeners + assert mock_listener.on_event.call_count == 2 + emitted_event = mock_listener.on_event.call_args_list[1][0][0] assert isinstance(emitted_event, RealtimeModelErrorEvent) @pytest.mark.asyncio @@ -303,12 +303,12 @@ async def test_handle_tool_call_event_success(self, model): await model._handle_ws_event(tool_call_event) - # Should emit both item updated and tool call events - assert mock_listener.on_event.call_count == 2 + # Should emit raw server event, item updated, and tool call events + assert mock_listener.on_event.call_count == 3 - # First should be item updated, second should be tool call + # First should be raw server event, second should be item updated, third should be tool call calls = mock_listener.on_event.call_args_list - tool_call_emitted = calls[1][0][0] + tool_call_emitted = calls[2][0][0] assert isinstance(tool_call_emitted, RealtimeModelToolCallEvent) assert tool_call_emitted.name == "get_weather" assert tool_call_emitted.arguments == '{"location": "San Francisco"}' From 787f100b030c18f6ac644090b9e7a03fbaa4bb57 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 29 Jul 2025 17:34:26 -0400 Subject: [PATCH 303/337] v0.2.4 --- pyproject.toml | 2 +- uv.lock | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index c2216a6af..1cd4d683d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "openai-agents" -version = "0.2.3" +version = "0.2.4" description = "OpenAI Agents SDK" readme = "README.md" requires-python = ">=3.9" diff --git a/uv.lock b/uv.lock index 5c7c0b5de..e4945864d 100644 --- a/uv.lock +++ b/uv.lock @@ -1482,7 +1482,7 @@ wheels = [ [[package]] name = "openai-agents" -version = "0.2.3" +version = "0.2.4" source = { editable = "." } dependencies = [ { name = "griffe" }, From 30f2dbb9ba2d0cb0a63c125ac8b4dd213c46bf20 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 30 Jul 2025 11:44:49 -0400 Subject: [PATCH 304/337] Add temporal demo to docs --- docs/running_agents.md | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/docs/running_agents.md b/docs/running_agents.md index 7d8f80851..59b44314a 100644 --- a/docs/running_agents.md +++ b/docs/running_agents.md @@ -120,6 +120,10 @@ Sessions automatically: See the [Sessions documentation](sessions.md) for more details. +## Long running agents & human-in-the-loop + +You can use the Agents SDK [Temporal](https://temporal.io/) integration to run durable, long-running workflows, including human-in-the-loop tasks. View a demo of Temporal and the Agents SDK working in action to complete long-running tasks [in this video](https://www.youtube.com/watch?v=fFBZqzT4DD8). + ## Exceptions The SDK raises exceptions in certain cases. The full list is in [`agents.exceptions`][]. As an overview: From 02779c69c25756c980e97a83a311bf2eb6986d66 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 30 Jul 2025 11:44:49 -0400 Subject: [PATCH 305/337] Add temporal demo to docs --- README.md | 4 ++++ docs/running_agents.md | 4 ++++ 2 files changed, 8 insertions(+) diff --git a/README.md b/README.md index febfec798..76c0d60d9 100644 --- a/README.md +++ b/README.md @@ -157,6 +157,10 @@ The Agents SDK is designed to be highly flexible, allowing you to model a wide r The Agents SDK automatically traces your agent runs, making it easy to track and debug the behavior of your agents. Tracing is extensible by design, supporting custom spans and a wide variety of external destinations, including [Logfire](https://logfire.pydantic.dev/docs/integrations/llms/openai/#openai-agents), [AgentOps](https://docs.agentops.ai/v1/integrations/agentssdk), [Braintrust](https://braintrust.dev/docs/guides/traces/integrations#openai-agents-sdk), [Scorecard](https://docs.scorecard.io/docs/documentation/features/tracing#openai-agents-sdk-integration), and [Keywords AI](https://docs.keywordsai.co/integration/development-frameworks/openai-agent). For more details about how to customize or disable tracing, see [Tracing](http://openai.github.io/openai-agents-python/tracing), which also includes a larger list of [external tracing processors](http://openai.github.io/openai-agents-python/tracing/#external-tracing-processors-list). +## Long running agents & human-in-the-loop + +You can use the Agents SDK [Temporal](https://temporal.io/) integration to run durable, long-running workflows, including human-in-the-loop tasks. View a demo of Temporal and the Agents SDK working in action to complete long-running tasks [in this video](https://www.youtube.com/watch?v=fFBZqzT4DD8), and [view docs here](https://github.com/temporalio/sdk-python/tree/main/temporalio/contrib/openai_agents). + ## Sessions The Agents SDK provides built-in session memory to automatically maintain conversation history across multiple agent runs, eliminating the need to manually handle `.to_input_list()` between turns. diff --git a/docs/running_agents.md b/docs/running_agents.md index 7d8f80851..5581823b0 100644 --- a/docs/running_agents.md +++ b/docs/running_agents.md @@ -120,6 +120,10 @@ Sessions automatically: See the [Sessions documentation](sessions.md) for more details. +## Long running agents & human-in-the-loop + +You can use the Agents SDK [Temporal](https://temporal.io/) integration to run durable, long-running workflows, including human-in-the-loop tasks. View a demo of Temporal and the Agents SDK working in action to complete long-running tasks [in this video](https://www.youtube.com/watch?v=fFBZqzT4DD8), and [view docs here](https://github.com/temporalio/sdk-python/tree/main/temporalio/contrib/openai_agents). + ## Exceptions The SDK raises exceptions in certain cases. The full list is in [`agents.exceptions`][]. As an overview: From 1d4bfcc841faa3817deeefd47a6562fc190eda4d Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Thu, 31 Jul 2025 14:08:52 -0400 Subject: [PATCH 306/337] Realtime: make example customizable: --- examples/realtime/app/README.md | 4 +++ examples/realtime/app/agent.py | 36 +++++++++++++++++++++++++ examples/realtime/app/server.py | 47 +++++++++++++-------------------- 3 files changed, 58 insertions(+), 29 deletions(-) create mode 100644 examples/realtime/app/agent.py diff --git a/examples/realtime/app/README.md b/examples/realtime/app/README.md index 3a7176707..cb5519a79 100644 --- a/examples/realtime/app/README.md +++ b/examples/realtime/app/README.md @@ -20,6 +20,10 @@ cd examples/realtime/app && uv run python server.py Then open your browser to: http://localhost:8000 +## Customization + +To use the same UI with your own agents, edit `agent.py` and ensure get_starting_agent() returns the right starting agent for your use case. + ## How to Use 1. Click **Connect** to establish a realtime session diff --git a/examples/realtime/app/agent.py b/examples/realtime/app/agent.py new file mode 100644 index 000000000..6ade2fea1 --- /dev/null +++ b/examples/realtime/app/agent.py @@ -0,0 +1,36 @@ +from agents import function_tool +from agents.realtime import RealtimeAgent + +""" +When running the UI example locally, you can edit this file to change the setup. THe server +will use the agent returned from get_starting_agent() as the starting agent.""" + + +@function_tool +def get_weather(city: str) -> str: + """Get the weather in a city.""" + return f"The weather in {city} is sunny." + + +@function_tool +def get_secret_number() -> int: + """Returns the secret number, if the user asks for it.""" + return 71 + + +haiku_agent = RealtimeAgent( + name="Haiku Agent", + instructions="You are a haiku poet. You must respond ONLY in traditional haiku format (5-7-5 syllables). Every response should be a proper haiku about the topic. Do not break character.", + tools=[], +) + +assistant_agent = RealtimeAgent( + name="Assistant", + instructions="If the user wants poetry or haikus, you can hand them off to the haiku agent via the transfer_to_haiku_agent tool.", + tools=[get_weather, get_secret_number], + handoffs=[haiku_agent], +) + + +def get_starting_agent() -> RealtimeAgent: + return assistant_agent diff --git a/examples/realtime/app/server.py b/examples/realtime/app/server.py index db2cd7bda..325f4347f 100644 --- a/examples/realtime/app/server.py +++ b/examples/realtime/app/server.py @@ -4,43 +4,30 @@ import logging import struct from contextlib import asynccontextmanager -from typing import Any, assert_never +from typing import TYPE_CHECKING, Any, assert_never from fastapi import FastAPI, WebSocket, WebSocketDisconnect from fastapi.responses import FileResponse from fastapi.staticfiles import StaticFiles -from agents import function_tool -from agents.realtime import RealtimeAgent, RealtimeRunner, RealtimeSession, RealtimeSessionEvent - -logging.basicConfig(level=logging.INFO) -logger = logging.getLogger(__name__) - - -@function_tool -def get_weather(city: str) -> str: - """Get the weather in a city.""" - return f"The weather in {city} is sunny." - - -@function_tool -def get_secret_number() -> int: - """Returns the secret number, if the user asks for it.""" - return 71 +from agents.realtime import RealtimeRunner, RealtimeSession, RealtimeSessionEvent +# Import TwilioHandler class - handle both module and package use cases +if TYPE_CHECKING: + # For type checking, use the relative import + from .agent import get_starting_agent +else: + # At runtime, try both import styles + try: + # Try relative import first (when used as a package) + from .agent import get_starting_agent + except ImportError: + # Fall back to direct import (when run as a script) + from agent import get_starting_agent -haiku_agent = RealtimeAgent( - name="Haiku Agent", - instructions="You are a haiku poet. You must respond ONLY in traditional haiku format (5-7-5 syllables). Every response should be a proper haiku about the topic. Do not break character.", - tools=[], -) -agent = RealtimeAgent( - name="Assistant", - instructions="If the user wants poetry or haikus, you can hand them off to the haiku agent via the transfer_to_haiku_agent tool.", - tools=[get_weather, get_secret_number], - handoffs=[haiku_agent], -) +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) class RealtimeWebSocketManager: @@ -53,6 +40,7 @@ async def connect(self, websocket: WebSocket, session_id: str): await websocket.accept() self.websockets[session_id] = websocket + agent = get_starting_agent() runner = RealtimeRunner(agent) session_context = await runner.run() session = await session_context.__aenter__() @@ -150,6 +138,7 @@ async def websocket_endpoint(websocket: WebSocket, session_id: str): if message["type"] == "audio": # Convert int16 array to bytes + print("Received audio data") int16_data = message["data"] audio_bytes = struct.pack(f"{len(int16_data)}h", *int16_data) await manager.send_audio(session_id, audio_bytes) From 29317168cbd2ae7b3537a34132b460a2f6924330 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Thu, 31 Jul 2025 14:17:54 -0400 Subject: [PATCH 307/337] Realtime: make example customizable: --- examples/realtime/app/README.md | 4 +++ examples/realtime/app/agent.py | 36 +++++++++++++++++++++++++ examples/realtime/app/server.py | 47 +++++++++++++-------------------- 3 files changed, 58 insertions(+), 29 deletions(-) create mode 100644 examples/realtime/app/agent.py diff --git a/examples/realtime/app/README.md b/examples/realtime/app/README.md index 3a7176707..cb5519a79 100644 --- a/examples/realtime/app/README.md +++ b/examples/realtime/app/README.md @@ -20,6 +20,10 @@ cd examples/realtime/app && uv run python server.py Then open your browser to: http://localhost:8000 +## Customization + +To use the same UI with your own agents, edit `agent.py` and ensure get_starting_agent() returns the right starting agent for your use case. + ## How to Use 1. Click **Connect** to establish a realtime session diff --git a/examples/realtime/app/agent.py b/examples/realtime/app/agent.py new file mode 100644 index 000000000..6ade2fea1 --- /dev/null +++ b/examples/realtime/app/agent.py @@ -0,0 +1,36 @@ +from agents import function_tool +from agents.realtime import RealtimeAgent + +""" +When running the UI example locally, you can edit this file to change the setup. THe server +will use the agent returned from get_starting_agent() as the starting agent.""" + + +@function_tool +def get_weather(city: str) -> str: + """Get the weather in a city.""" + return f"The weather in {city} is sunny." + + +@function_tool +def get_secret_number() -> int: + """Returns the secret number, if the user asks for it.""" + return 71 + + +haiku_agent = RealtimeAgent( + name="Haiku Agent", + instructions="You are a haiku poet. You must respond ONLY in traditional haiku format (5-7-5 syllables). Every response should be a proper haiku about the topic. Do not break character.", + tools=[], +) + +assistant_agent = RealtimeAgent( + name="Assistant", + instructions="If the user wants poetry or haikus, you can hand them off to the haiku agent via the transfer_to_haiku_agent tool.", + tools=[get_weather, get_secret_number], + handoffs=[haiku_agent], +) + + +def get_starting_agent() -> RealtimeAgent: + return assistant_agent diff --git a/examples/realtime/app/server.py b/examples/realtime/app/server.py index db2cd7bda..325f4347f 100644 --- a/examples/realtime/app/server.py +++ b/examples/realtime/app/server.py @@ -4,43 +4,30 @@ import logging import struct from contextlib import asynccontextmanager -from typing import Any, assert_never +from typing import TYPE_CHECKING, Any, assert_never from fastapi import FastAPI, WebSocket, WebSocketDisconnect from fastapi.responses import FileResponse from fastapi.staticfiles import StaticFiles -from agents import function_tool -from agents.realtime import RealtimeAgent, RealtimeRunner, RealtimeSession, RealtimeSessionEvent - -logging.basicConfig(level=logging.INFO) -logger = logging.getLogger(__name__) - - -@function_tool -def get_weather(city: str) -> str: - """Get the weather in a city.""" - return f"The weather in {city} is sunny." - - -@function_tool -def get_secret_number() -> int: - """Returns the secret number, if the user asks for it.""" - return 71 +from agents.realtime import RealtimeRunner, RealtimeSession, RealtimeSessionEvent +# Import TwilioHandler class - handle both module and package use cases +if TYPE_CHECKING: + # For type checking, use the relative import + from .agent import get_starting_agent +else: + # At runtime, try both import styles + try: + # Try relative import first (when used as a package) + from .agent import get_starting_agent + except ImportError: + # Fall back to direct import (when run as a script) + from agent import get_starting_agent -haiku_agent = RealtimeAgent( - name="Haiku Agent", - instructions="You are a haiku poet. You must respond ONLY in traditional haiku format (5-7-5 syllables). Every response should be a proper haiku about the topic. Do not break character.", - tools=[], -) -agent = RealtimeAgent( - name="Assistant", - instructions="If the user wants poetry or haikus, you can hand them off to the haiku agent via the transfer_to_haiku_agent tool.", - tools=[get_weather, get_secret_number], - handoffs=[haiku_agent], -) +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) class RealtimeWebSocketManager: @@ -53,6 +40,7 @@ async def connect(self, websocket: WebSocket, session_id: str): await websocket.accept() self.websockets[session_id] = websocket + agent = get_starting_agent() runner = RealtimeRunner(agent) session_context = await runner.run() session = await session_context.__aenter__() @@ -150,6 +138,7 @@ async def websocket_endpoint(websocket: WebSocket, session_id: str): if message["type"] == "audio": # Convert int16 array to bytes + print("Received audio data") int16_data = message["data"] audio_bytes = struct.pack(f"{len(int16_data)}h", *int16_data) await manager.send_audio(session_id, audio_bytes) From 5810fe2f38f0c6aab3ce50f3a0bc2864e275b9cb Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 4 Aug 2025 16:08:38 -0700 Subject: [PATCH 308/337] Realtime: fix interrupt logic --- examples/realtime/app/server.py | 1 - src/agents/realtime/openai_realtime.py | 9 ++++++++- 2 files changed, 8 insertions(+), 2 deletions(-) diff --git a/examples/realtime/app/server.py b/examples/realtime/app/server.py index 325f4347f..73fcf3e56 100644 --- a/examples/realtime/app/server.py +++ b/examples/realtime/app/server.py @@ -138,7 +138,6 @@ async def websocket_endpoint(websocket: WebSocket, session_id: str): if message["type"] == "audio": # Convert int16 array to bytes - print("Received audio data") int16_data = message["data"] audio_bytes = struct.pack(f"{len(int16_data)}h", *int16_data) await manager.send_audio(session_id, audio_bytes) diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 3ca9cf1c1..563c3a83c 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -150,7 +150,7 @@ async def connect(self, options: RealtimeModelConfig) -> None: model_settings: RealtimeSessionModelSettings = options.get("initial_model_settings", {}) - self._playback_tracker = options.get("playback_tracker", RealtimePlaybackTracker()) + self._playback_tracker = options.get("playback_tracker", None) self.model = model_settings.get("model_name", self.model) api_key = await get_api_key(options.get("api_key")) @@ -351,6 +351,13 @@ async def _send_interrupt(self, event: RealtimeModelSendInterrupt) -> None: int(elapsed_ms), ) await self._send_raw_message(converted) + else: + logger.info( + "Didn't interrupt bc elapsed ms is < 0. " + f"Item id: {current_item_id}, " + f"elapsed ms: {elapsed_ms}, " + f"content index: {current_item_content_index}" + ) automatic_response_cancellation_enabled = ( self._created_session From 5dc10f32e3f1e0486e885ebabdc30e8f33fc0050 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 4 Aug 2025 16:08:38 -0700 Subject: [PATCH 309/337] Realtime: fix interrupt logic --- examples/realtime/app/server.py | 1 - src/agents/realtime/openai_realtime.py | 13 ++++++++++--- 2 files changed, 10 insertions(+), 4 deletions(-) diff --git a/examples/realtime/app/server.py b/examples/realtime/app/server.py index 325f4347f..73fcf3e56 100644 --- a/examples/realtime/app/server.py +++ b/examples/realtime/app/server.py @@ -138,7 +138,6 @@ async def websocket_endpoint(websocket: WebSocket, session_id: str): if message["type"] == "audio": # Convert int16 array to bytes - print("Received audio data") int16_data = message["data"] audio_bytes = struct.pack(f"{len(int16_data)}h", *int16_data) await manager.send_audio(session_id, audio_bytes) diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 3ca9cf1c1..4485deba8 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -150,7 +150,7 @@ async def connect(self, options: RealtimeModelConfig) -> None: model_settings: RealtimeSessionModelSettings = options.get("initial_model_settings", {}) - self._playback_tracker = options.get("playback_tracker", RealtimePlaybackTracker()) + self._playback_tracker = options.get("playback_tracker", None) self.model = model_settings.get("model_name", self.model) api_key = await get_api_key(options.get("api_key")) @@ -226,7 +226,7 @@ async def _listen_for_messages(self): except websockets.exceptions.ConnectionClosedOK: # Normal connection closure - no exception event needed - logger.info("WebSocket connection closed normally") + logger.debug("WebSocket connection closed normally") except websockets.exceptions.ConnectionClosed as e: await self._emit_event( RealtimeModelExceptionEvent( @@ -329,7 +329,7 @@ async def _send_interrupt(self, event: RealtimeModelSendInterrupt) -> None: current_item_content_index = playback_state.get("current_item_content_index") elapsed_ms = playback_state.get("elapsed_ms") if current_item_id is None or elapsed_ms is None: - logger.info( + logger.debug( "Skipping interrupt. " f"Item id: {current_item_id}, " f"elapsed ms: {elapsed_ms}, " @@ -351,6 +351,13 @@ async def _send_interrupt(self, event: RealtimeModelSendInterrupt) -> None: int(elapsed_ms), ) await self._send_raw_message(converted) + else: + logger.debug( + "Didn't interrupt bc elapsed ms is < 0. " + f"Item id: {current_item_id}, " + f"elapsed ms: {elapsed_ms}, " + f"content index: {current_item_content_index}" + ) automatic_response_cancellation_enabled = ( self._created_session From 57f977d35593d9c8cbaa0e11238d6a25305126d5 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 5 Aug 2025 20:33:51 -0700 Subject: [PATCH 310/337] Realtime: add handoff prompt prefix --- examples/realtime/app/agent.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/examples/realtime/app/agent.py b/examples/realtime/app/agent.py index 6ade2fea1..9a54946a3 100644 --- a/examples/realtime/app/agent.py +++ b/examples/realtime/app/agent.py @@ -1,4 +1,5 @@ from agents import function_tool +from agents.extensions.handoff_prompt import RECOMMENDED_PROMPT_PREFIX from agents.realtime import RealtimeAgent """ @@ -20,13 +21,13 @@ def get_secret_number() -> int: haiku_agent = RealtimeAgent( name="Haiku Agent", - instructions="You are a haiku poet. You must respond ONLY in traditional haiku format (5-7-5 syllables). Every response should be a proper haiku about the topic. Do not break character.", + instructions=f"{RECOMMENDED_PROMPT_PREFIX}.You are a haiku poet. You must respond ONLY in traditional haiku format (5-7-5 syllables). Every response should be a proper haiku about the topic. Do not break character.", tools=[], ) assistant_agent = RealtimeAgent( name="Assistant", - instructions="If the user wants poetry or haikus, you can hand them off to the haiku agent via the transfer_to_haiku_agent tool.", + instructions=f"{RECOMMENDED_PROMPT_PREFIX}.If the user wants poetry or haikus, hand off to the haiku agent.", tools=[get_weather, get_secret_number], handoffs=[haiku_agent], ) From df7b42201674b3f5eddfa865bc239be7130652be Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 5 Aug 2025 20:33:51 -0700 Subject: [PATCH 311/337] Realtime: add handoff prompt prefix --- examples/realtime/app/agent.py | 89 ++++++++++++++++++++++++++++------ 1 file changed, 73 insertions(+), 16 deletions(-) diff --git a/examples/realtime/app/agent.py b/examples/realtime/app/agent.py index 6ade2fea1..81d8db7c1 100644 --- a/examples/realtime/app/agent.py +++ b/examples/realtime/app/agent.py @@ -1,10 +1,46 @@ from agents import function_tool -from agents.realtime import RealtimeAgent +from agents.extensions.handoff_prompt import RECOMMENDED_PROMPT_PREFIX +from agents.realtime import RealtimeAgent, realtime_handoff """ When running the UI example locally, you can edit this file to change the setup. THe server will use the agent returned from get_starting_agent() as the starting agent.""" +### TOOLS + + +@function_tool( + name_override="faq_lookup_tool", description_override="Lookup frequently asked questions." +) +async def faq_lookup_tool(question: str) -> str: + if "bag" in question or "baggage" in question: + return ( + "You are allowed to bring one bag on the plane. " + "It must be under 50 pounds and 22 inches x 14 inches x 9 inches." + ) + elif "seats" in question or "plane" in question: + return ( + "There are 120 seats on the plane. " + "There are 22 business class seats and 98 economy seats. " + "Exit rows are rows 4 and 16. " + "Rows 5-8 are Economy Plus, with extra legroom. " + ) + elif "wifi" in question: + return "We have free wifi on the plane, join Airline-Wifi" + return "I'm sorry, I don't know the answer to that question." + + +@function_tool +async def update_seat(confirmation_number: str, new_seat: str) -> str: + """ + Update the seat for a given confirmation number. + + Args: + confirmation_number: The confirmation number for the flight. + new_seat: The new seat to update to. + """ + return f"Updated seat to {new_seat} for confirmation number {confirmation_number}" + @function_tool def get_weather(city: str) -> str: @@ -12,25 +48,46 @@ def get_weather(city: str) -> str: return f"The weather in {city} is sunny." -@function_tool -def get_secret_number() -> int: - """Returns the secret number, if the user asks for it.""" - return 71 - +faq_agent = RealtimeAgent( + name="FAQ Agent", + handoff_description="A helpful agent that can answer questions about the airline.", + instructions=f"""{RECOMMENDED_PROMPT_PREFIX} + You are an FAQ agent. If you are speaking to a customer, you probably were transferred to from the triage agent. + Use the following routine to support the customer. + # Routine + 1. Identify the last question asked by the customer. + 2. Use the faq lookup tool to answer the question. Do not rely on your own knowledge. + 3. If you cannot answer the question, transfer back to the triage agent.""", + tools=[faq_lookup_tool], +) -haiku_agent = RealtimeAgent( - name="Haiku Agent", - instructions="You are a haiku poet. You must respond ONLY in traditional haiku format (5-7-5 syllables). Every response should be a proper haiku about the topic. Do not break character.", - tools=[], +seat_booking_agent = RealtimeAgent( + name="Seat Booking Agent", + handoff_description="A helpful agent that can update a seat on a flight.", + instructions=f"""{RECOMMENDED_PROMPT_PREFIX} + You are a seat booking agent. If you are speaking to a customer, you probably were transferred to from the triage agent. + Use the following routine to support the customer. + # Routine + 1. Ask for their confirmation number. + 2. Ask the customer what their desired seat number is. + 3. Use the update seat tool to update the seat on the flight. + If the customer asks a question that is not related to the routine, transfer back to the triage agent. """, + tools=[update_seat], ) -assistant_agent = RealtimeAgent( - name="Assistant", - instructions="If the user wants poetry or haikus, you can hand them off to the haiku agent via the transfer_to_haiku_agent tool.", - tools=[get_weather, get_secret_number], - handoffs=[haiku_agent], +triage_agent = RealtimeAgent( + name="Triage Agent", + handoff_description="A triage agent that can delegate a customer's request to the appropriate agent.", + instructions=( + f"{RECOMMENDED_PROMPT_PREFIX} " + "You are a helpful triaging agent. You can use your tools to delegate questions to other appropriate agents." + ), + handoffs=[faq_agent, realtime_handoff(seat_booking_agent)], ) +faq_agent.handoffs.append(triage_agent) +seat_booking_agent.handoffs.append(triage_agent) + def get_starting_agent() -> RealtimeAgent: - return assistant_agent + return triage_agent From ab59ecfa9b95f3442ba75a2f7e851db97c065c3b Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 5 Aug 2025 20:42:01 -0700 Subject: [PATCH 312/337] Realtime: add handoff prompt prefix --- examples/realtime/app/agent.py | 89 ++++++++++++++++++++++++++++------ 1 file changed, 73 insertions(+), 16 deletions(-) diff --git a/examples/realtime/app/agent.py b/examples/realtime/app/agent.py index 6ade2fea1..81d8db7c1 100644 --- a/examples/realtime/app/agent.py +++ b/examples/realtime/app/agent.py @@ -1,10 +1,46 @@ from agents import function_tool -from agents.realtime import RealtimeAgent +from agents.extensions.handoff_prompt import RECOMMENDED_PROMPT_PREFIX +from agents.realtime import RealtimeAgent, realtime_handoff """ When running the UI example locally, you can edit this file to change the setup. THe server will use the agent returned from get_starting_agent() as the starting agent.""" +### TOOLS + + +@function_tool( + name_override="faq_lookup_tool", description_override="Lookup frequently asked questions." +) +async def faq_lookup_tool(question: str) -> str: + if "bag" in question or "baggage" in question: + return ( + "You are allowed to bring one bag on the plane. " + "It must be under 50 pounds and 22 inches x 14 inches x 9 inches." + ) + elif "seats" in question or "plane" in question: + return ( + "There are 120 seats on the plane. " + "There are 22 business class seats and 98 economy seats. " + "Exit rows are rows 4 and 16. " + "Rows 5-8 are Economy Plus, with extra legroom. " + ) + elif "wifi" in question: + return "We have free wifi on the plane, join Airline-Wifi" + return "I'm sorry, I don't know the answer to that question." + + +@function_tool +async def update_seat(confirmation_number: str, new_seat: str) -> str: + """ + Update the seat for a given confirmation number. + + Args: + confirmation_number: The confirmation number for the flight. + new_seat: The new seat to update to. + """ + return f"Updated seat to {new_seat} for confirmation number {confirmation_number}" + @function_tool def get_weather(city: str) -> str: @@ -12,25 +48,46 @@ def get_weather(city: str) -> str: return f"The weather in {city} is sunny." -@function_tool -def get_secret_number() -> int: - """Returns the secret number, if the user asks for it.""" - return 71 - +faq_agent = RealtimeAgent( + name="FAQ Agent", + handoff_description="A helpful agent that can answer questions about the airline.", + instructions=f"""{RECOMMENDED_PROMPT_PREFIX} + You are an FAQ agent. If you are speaking to a customer, you probably were transferred to from the triage agent. + Use the following routine to support the customer. + # Routine + 1. Identify the last question asked by the customer. + 2. Use the faq lookup tool to answer the question. Do not rely on your own knowledge. + 3. If you cannot answer the question, transfer back to the triage agent.""", + tools=[faq_lookup_tool], +) -haiku_agent = RealtimeAgent( - name="Haiku Agent", - instructions="You are a haiku poet. You must respond ONLY in traditional haiku format (5-7-5 syllables). Every response should be a proper haiku about the topic. Do not break character.", - tools=[], +seat_booking_agent = RealtimeAgent( + name="Seat Booking Agent", + handoff_description="A helpful agent that can update a seat on a flight.", + instructions=f"""{RECOMMENDED_PROMPT_PREFIX} + You are a seat booking agent. If you are speaking to a customer, you probably were transferred to from the triage agent. + Use the following routine to support the customer. + # Routine + 1. Ask for their confirmation number. + 2. Ask the customer what their desired seat number is. + 3. Use the update seat tool to update the seat on the flight. + If the customer asks a question that is not related to the routine, transfer back to the triage agent. """, + tools=[update_seat], ) -assistant_agent = RealtimeAgent( - name="Assistant", - instructions="If the user wants poetry or haikus, you can hand them off to the haiku agent via the transfer_to_haiku_agent tool.", - tools=[get_weather, get_secret_number], - handoffs=[haiku_agent], +triage_agent = RealtimeAgent( + name="Triage Agent", + handoff_description="A triage agent that can delegate a customer's request to the appropriate agent.", + instructions=( + f"{RECOMMENDED_PROMPT_PREFIX} " + "You are a helpful triaging agent. You can use your tools to delegate questions to other appropriate agents." + ), + handoffs=[faq_agent, realtime_handoff(seat_booking_agent)], ) +faq_agent.handoffs.append(triage_agent) +seat_booking_agent.handoffs.append(triage_agent) + def get_starting_agent() -> RealtimeAgent: - return assistant_agent + return triage_agent From e93bae71f5019994055cc15ddc40bffe0bde5d84 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 6 Aug 2025 15:13:37 -0700 Subject: [PATCH 313/337] Realtime: send session update before tool response --- src/agents/realtime/session.py | 15 ++++++++------- 1 file changed, 8 insertions(+), 7 deletions(-) diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index e3ad21c5b..335942060 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -374,19 +374,20 @@ async def _handle_tool_call(self, event: RealtimeModelToolCallEvent) -> None: ) ) - # Send tool output to complete the handoff + # First, send the session update so the model receives the new instructions + await self._model.send_event( + RealtimeModelSendSessionUpdate(session_settings=updated_settings) + ) + + # Then send tool output to complete the handoff (this triggers a new response) + transfer_message = handoff.get_transfer_message(result) await self._model.send_event( RealtimeModelSendToolOutput( tool_call=event, - output=f"Handed off to {self._current_agent.name}", + output=transfer_message, start_response=True, ) ) - - # Send session update to model - await self._model.send_event( - RealtimeModelSendSessionUpdate(session_settings=updated_settings) - ) else: raise ModelBehaviorError(f"Tool {event.name} not found") From 932407d056a386af263131b183550da3a0513aa6 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 6 Aug 2025 15:14:01 -0700 Subject: [PATCH 314/337] Realtime: send session update before tool response --- src/agents/realtime/session.py | 15 ++++++++------- 1 file changed, 8 insertions(+), 7 deletions(-) diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index e3ad21c5b..335942060 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -374,19 +374,20 @@ async def _handle_tool_call(self, event: RealtimeModelToolCallEvent) -> None: ) ) - # Send tool output to complete the handoff + # First, send the session update so the model receives the new instructions + await self._model.send_event( + RealtimeModelSendSessionUpdate(session_settings=updated_settings) + ) + + # Then send tool output to complete the handoff (this triggers a new response) + transfer_message = handoff.get_transfer_message(result) await self._model.send_event( RealtimeModelSendToolOutput( tool_call=event, - output=f"Handed off to {self._current_agent.name}", + output=transfer_message, start_response=True, ) ) - - # Send session update to model - await self._model.send_event( - RealtimeModelSendSessionUpdate(session_settings=updated_settings) - ) else: raise ModelBehaviorError(f"Tool {event.name} not found") From 3e4dc26ae14dd6aff1a63d57cb5fad4e4798f086 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Thu, 7 Aug 2025 14:02:36 -0700 Subject: [PATCH 315/337] v0.2.5 --- pyproject.toml | 2 +- uv.lock | 3654 ++++++++++++++++++++++++------------------------ 2 files changed, 1828 insertions(+), 1828 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 1cd4d683d..fec596f28 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "openai-agents" -version = "0.2.4" +version = "0.2.5" description = "OpenAI Agents SDK" readme = "README.md" requires-python = ">=3.9" diff --git a/uv.lock b/uv.lock index 5d19a321d..d8efb6e8c 100644 --- a/uv.lock +++ b/uv.lock @@ -9,16 +9,16 @@ resolution-markers = [ [[package]] name = "aiohappyeyeballs" version = "2.6.1" -source = { registry = "https://pypi.tuna.tsinghua.edu.cn/simple" } -sdist = { url = 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+version = "0.2.6" source = { editable = "." } dependencies = [ { name = "griffe" }, From b7c78ae23c6ea87f23d3df461dca9e634b6d659c Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 13 Aug 2025 13:42:59 -0400 Subject: [PATCH 317/337] Realtime: one guardrail trip event per response --- src/agents/realtime/session.py | 23 ++++++++----- tests/realtime/test_session.py | 61 +++++++++++++++++++++++++++++++--- 2 files changed, 71 insertions(+), 13 deletions(-) diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index 8b3b10936..4629f1bb5 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -98,7 +98,7 @@ def __init__( self._stored_exception: Exception | None = None # Guardrails state tracking - self._interrupted_by_guardrail = False + self._interrupted_response_ids: set[str] = set() self._item_transcripts: dict[str, str] = {} # item_id -> accumulated transcript self._item_guardrail_run_counts: dict[str, int] = {} # item_id -> run count self._debounce_text_length = self._run_config.get("guardrails_settings", {}).get( @@ -242,7 +242,8 @@ async def on_event(self, event: RealtimeModelEvent) -> None: if current_length >= next_run_threshold: self._item_guardrail_run_counts[item_id] += 1 - self._enqueue_guardrail_task(self._item_transcripts[item_id]) + # Pass response_id so we can ensure only a single interrupt per response + self._enqueue_guardrail_task(self._item_transcripts[item_id], event.response_id) elif event.type == "item_updated": is_new = not any(item.item_id == event.item.item_id for item in self._history) self._history = self._get_new_history(self._history, event.item) @@ -274,7 +275,6 @@ async def on_event(self, event: RealtimeModelEvent) -> None: # Clear guardrail state for next turn self._item_transcripts.clear() self._item_guardrail_run_counts.clear() - self._interrupted_by_guardrail = False await self._put_event( RealtimeAgentEndEvent( @@ -442,7 +442,7 @@ def _get_new_history( # Otherwise, add it to the end return old_history + [event] - async def _run_output_guardrails(self, text: str) -> bool: + async def _run_output_guardrails(self, text: str, response_id: str) -> bool: """Run output guardrails on the given text. Returns True if any guardrail was triggered.""" combined_guardrails = self._current_agent.output_guardrails + self._run_config.get( "output_guardrails", [] @@ -455,7 +455,8 @@ async def _run_output_guardrails(self, text: str) -> bool: output_guardrails.append(guardrail) seen_ids.add(guardrail_id) - if not output_guardrails or self._interrupted_by_guardrail: + # If we've already interrupted this response, skip + if not output_guardrails or response_id in self._interrupted_response_ids: return False triggered_results = [] @@ -475,8 +476,12 @@ async def _run_output_guardrails(self, text: str) -> bool: continue if triggered_results: - # Mark as interrupted to prevent multiple interrupts - self._interrupted_by_guardrail = True + # Double-check: bail if already interrupted for this response + if response_id in self._interrupted_response_ids: + return False + + # Mark as interrupted immediately (before any awaits) to minimize race window + self._interrupted_response_ids.add(response_id) # Emit guardrail tripped event await self._put_event( @@ -502,10 +507,10 @@ async def _run_output_guardrails(self, text: str) -> bool: return False - def _enqueue_guardrail_task(self, text: str) -> None: + def _enqueue_guardrail_task(self, text: str, response_id: str) -> None: # Runs the guardrails in a separate task to avoid blocking the main loop - task = asyncio.create_task(self._run_output_guardrails(text)) + task = asyncio.create_task(self._run_output_guardrails(text, response_id)) self._guardrail_tasks.add(task) # Add callback to remove completed tasks and handle exceptions diff --git a/tests/realtime/test_session.py b/tests/realtime/test_session.py index e5d2d5d45..3b6c5bac6 100644 --- a/tests/realtime/test_session.py +++ b/tests/realtime/test_session.py @@ -1050,7 +1050,6 @@ async def test_transcript_delta_triggers_guardrail_at_threshold( await self._wait_for_guardrail_tasks(session) # Should have triggered guardrail and interrupted - assert session._interrupted_by_guardrail is True assert mock_model.interrupts_called == 1 assert len(mock_model.sent_messages) == 1 assert "triggered_guardrail" in mock_model.sent_messages[0] @@ -1187,14 +1186,12 @@ async def test_turn_ended_clears_guardrail_state( # Wait for async guardrail tasks to complete await self._wait_for_guardrail_tasks(session) - assert session._interrupted_by_guardrail is True assert len(session._item_transcripts) == 1 # End turn await session.on_event(RealtimeModelTurnEndedEvent()) # State should be cleared - assert session._interrupted_by_guardrail is False assert len(session._item_transcripts) == 0 assert len(session._item_guardrail_run_counts) == 0 @@ -1259,7 +1256,6 @@ async def test_agent_output_guardrails_triggered(self, mock_model, triggered_gua await session.on_event(transcript_event) await self._wait_for_guardrail_tasks(session) - assert session._interrupted_by_guardrail is True assert mock_model.interrupts_called == 1 assert len(mock_model.sent_messages) == 1 assert "triggered_guardrail" in mock_model.sent_messages[0] @@ -1272,6 +1268,63 @@ async def test_agent_output_guardrails_triggered(self, mock_model, triggered_gua assert len(guardrail_events) == 1 assert guardrail_events[0].message == "this is more than ten characters" + @pytest.mark.asyncio + async def test_concurrent_guardrail_tasks_interrupt_once_per_response(self, mock_model): + """Even if multiple guardrail tasks trigger concurrently for the same response_id, + only the first should interrupt and send a message.""" + import asyncio + + # Barrier to release both guardrail tasks at the same time + start_event = asyncio.Event() + + async def async_trigger_guardrail(context, agent, output): + await start_event.wait() + return GuardrailFunctionOutput( + output_info={"reason": "concurrent"}, tripwire_triggered=True + ) + + concurrent_guardrail = OutputGuardrail( + guardrail_function=async_trigger_guardrail, name="concurrent_trigger" + ) + + run_config: RealtimeRunConfig = { + "output_guardrails": [concurrent_guardrail], + "guardrails_settings": {"debounce_text_length": 5}, + } + + # Use a minimal agent (guardrails from run_config) + agent = RealtimeAgent(name="agent") + session = RealtimeSession(mock_model, agent, None, run_config=run_config) + + # Two deltas for same item and response to enqueue two guardrail tasks + await session.on_event( + RealtimeModelTranscriptDeltaEvent( + item_id="item_1", delta="12345", response_id="resp_same" + ) + ) + await session.on_event( + RealtimeModelTranscriptDeltaEvent( + item_id="item_1", delta="67890", response_id="resp_same" + ) + ) + + # Wait until both tasks are enqueued + for _ in range(50): + if len(session._guardrail_tasks) >= 2: + break + await asyncio.sleep(0.01) + + # Release both tasks concurrently + start_event.set() + + # Wait for completion + if session._guardrail_tasks: + await asyncio.gather(*session._guardrail_tasks, return_exceptions=True) + + # Only one interrupt and one message should be sent + assert mock_model.interrupts_called == 1 + assert len(mock_model.sent_messages) == 1 + class TestModelSettingsIntegration: """Test suite for model settings integration in RealtimeSession.""" From 236536b812dd4cf6af60a52f72ab7fa5b42332c0 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Thu, 14 Aug 2025 14:56:35 -0400 Subject: [PATCH 318/337] v0.2.7 --- pyproject.toml | 2 +- uv.lock | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 6246d3322..1556d8780 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "openai-agents" -version = "0.2.6" +version = "0.2.7" description = "OpenAI Agents SDK" readme = "README.md" requires-python = ">=3.9" diff --git a/uv.lock b/uv.lock index af3ee7009..b7a2c1d89 100644 --- a/uv.lock +++ b/uv.lock @@ -1482,7 +1482,7 @@ wheels = [ [[package]] name = "openai-agents" -version = "0.2.6" +version = "0.2.7" source = { editable = "." } dependencies = [ { name = "griffe" }, From c699277a4c0b8fa422247c6837689ad60c522e73 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Thu, 14 Aug 2025 17:39:49 -0400 Subject: [PATCH 319/337] Allow modifying the input sent to the model --- src/agents/run.py | 106 +++++++++++++++++++++++++++++++++++++++++++--- 1 file changed, 100 insertions(+), 6 deletions(-) diff --git a/src/agents/run.py b/src/agents/run.py index d0748e514..4177b7131 100644 --- a/src/agents/run.py +++ b/src/agents/run.py @@ -4,7 +4,7 @@ import copy import inspect from dataclasses import dataclass, field -from typing import Any, Generic, cast +from typing import Any, Callable, Generic, cast from openai.types.responses import ResponseCompletedEvent from openai.types.responses.response_prompt_param import ( @@ -56,6 +56,7 @@ from .tracing.span_data import AgentSpanData from .usage import Usage from .util import _coro, _error_tracing +from .util._types import MaybeAwaitable DEFAULT_MAX_TURNS = 10 @@ -81,6 +82,27 @@ def get_default_agent_runner() -> AgentRunner: return DEFAULT_AGENT_RUNNER +@dataclass +class ModelInputData: + """Container for the data that will be sent to the model.""" + + input: list[TResponseInputItem] + instructions: str | None + + +@dataclass +class CallModelData(Generic[TContext]): + """Data passed to `RunConfig.call_model_input_filter` prior to model call.""" + + model_data: ModelInputData + agent: Agent[TContext] + context: TContext | None + + +# Type alias for the optional input filter callback +CallModelInputFilter = Callable[[CallModelData[Any]], MaybeAwaitable[ModelInputData]] + + @dataclass class RunConfig: """Configures settings for the entire agent run.""" @@ -139,6 +161,16 @@ class RunConfig: An optional dictionary of additional metadata to include with the trace. """ + call_model_input_filter: CallModelInputFilter | None = None + """ + Optional callback that is invoked immediately before calling the model. It receives the current + agent, context and the model input (instructions and input items), and must return a possibly + modified `ModelInputData` to use for the model call. + + This allows you to edit the input sent to the model e.g. to stay within a token limit. + For example, you can use this to add a system prompt to the input. + """ + class RunOptions(TypedDict, Generic[TContext]): """Arguments for ``AgentRunner`` methods.""" @@ -863,10 +895,40 @@ async def _run_single_turn_streamed( input = ItemHelpers.input_to_new_input_list(streamed_result.input) input.extend([item.to_input_item() for item in streamed_result.new_items]) + # Allow user to modify model input right before the streaming call, if configured + effective_instructions = system_prompt + effective_input: list[TResponseInputItem] = input + if run_config.call_model_input_filter is not None: + try: + model_input = ModelInputData( + input=copy.deepcopy(effective_input), + instructions=effective_instructions, + ) + filter_payload: CallModelData[TContext] = CallModelData( + model_data=model_input, + agent=agent, + context=context_wrapper.context, + ) + maybe_updated = run_config.call_model_input_filter(filter_payload) + updated = ( + await maybe_updated + if inspect.isawaitable(maybe_updated) + else maybe_updated + ) + if not isinstance(updated, ModelInputData): + raise UserError("call_model_input_filter must return a ModelInputData instance") + effective_input = updated.input + effective_instructions = updated.instructions + except Exception as e: + _error_tracing.attach_error_to_current_span( + SpanError(message="Error in call_model_input_filter", data={"error": str(e)}) + ) + raise + # 1. Stream the output events async for event in model.stream_response( - system_prompt, - input, + effective_instructions, + effective_input, model_settings, all_tools, output_schema, @@ -1034,7 +1096,6 @@ async def _get_single_step_result_from_streamed_response( run_config: RunConfig, tool_use_tracker: AgentToolUseTracker, ) -> SingleStepResult: - original_input = streamed_result.input pre_step_items = streamed_result.new_items event_queue = streamed_result._event_queue @@ -1161,13 +1222,46 @@ async def _get_new_response( previous_response_id: str | None, prompt_config: ResponsePromptParam | None, ) -> ModelResponse: + # Allow user to modify model input right before the call, if configured + effective_instructions = system_prompt + effective_input: list[TResponseInputItem] = input + + if run_config.call_model_input_filter is not None: + try: + model_input = ModelInputData( + input=copy.deepcopy(effective_input), + instructions=effective_instructions, + ) + filter_payload: CallModelData[TContext] = CallModelData( + model_data=model_input, + agent=agent, + context=context_wrapper.context, + ) + maybe_updated = run_config.call_model_input_filter(filter_payload) + updated = ( + await maybe_updated + if inspect.isawaitable(maybe_updated) + else maybe_updated + ) + # Basic validation to prevent accidental None returns + if not isinstance(updated, ModelInputData): + raise UserError("call_model_input_filter must return a ModelInputData instance") + effective_input = updated.input + effective_instructions = updated.instructions + except Exception as e: + # Attach to trace and re-raise as user error so it's clear + _error_tracing.attach_error_to_current_span( + SpanError(message="Error in call_model_input_filter", data={"error": str(e)}) + ) + raise + model = cls._get_model(agent, run_config) model_settings = agent.model_settings.resolve(run_config.model_settings) model_settings = RunImpl.maybe_reset_tool_choice(agent, tool_use_tracker, model_settings) new_response = await model.get_response( - system_instructions=system_prompt, - input=input, + system_instructions=effective_instructions, + input=effective_input, model_settings=model_settings, tools=all_tools, output_schema=output_schema, From 9265d6a6d505e713739324ac24a726767fe688d1 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Thu, 14 Aug 2025 17:48:07 -0400 Subject: [PATCH 320/337] Allow modifying the input sent to the model --- src/agents/run.py | 101 +++++++++++++++++++++++++++++++++++++++++++--- 1 file changed, 95 insertions(+), 6 deletions(-) diff --git a/src/agents/run.py b/src/agents/run.py index d0748e514..5f9ec10ac 100644 --- a/src/agents/run.py +++ b/src/agents/run.py @@ -4,7 +4,7 @@ import copy import inspect from dataclasses import dataclass, field -from typing import Any, Generic, cast +from typing import Any, Callable, Generic, cast from openai.types.responses import ResponseCompletedEvent from openai.types.responses.response_prompt_param import ( @@ -56,6 +56,7 @@ from .tracing.span_data import AgentSpanData from .usage import Usage from .util import _coro, _error_tracing +from .util._types import MaybeAwaitable DEFAULT_MAX_TURNS = 10 @@ -81,6 +82,27 @@ def get_default_agent_runner() -> AgentRunner: return DEFAULT_AGENT_RUNNER +@dataclass +class ModelInputData: + """Container for the data that will be sent to the model.""" + + input: list[TResponseInputItem] + instructions: str | None + + +@dataclass +class CallModelData(Generic[TContext]): + """Data passed to `RunConfig.call_model_input_filter` prior to model call.""" + + model_data: ModelInputData + agent: Agent[TContext] + context: TContext | None + + +# Type alias for the optional input filter callback +CallModelInputFilter = Callable[[CallModelData[Any]], MaybeAwaitable[ModelInputData]] + + @dataclass class RunConfig: """Configures settings for the entire agent run.""" @@ -139,6 +161,16 @@ class RunConfig: An optional dictionary of additional metadata to include with the trace. """ + call_model_input_filter: CallModelInputFilter | None = None + """ + Optional callback that is invoked immediately before calling the model. It receives the current + agent, context and the model input (instructions and input items), and must return a possibly + modified `ModelInputData` to use for the model call. + + This allows you to edit the input sent to the model e.g. to stay within a token limit. + For example, you can use this to add a system prompt to the input. + """ + class RunOptions(TypedDict, Generic[TContext]): """Arguments for ``AgentRunner`` methods.""" @@ -593,6 +625,47 @@ def run_streamed( ) return streamed_result + @classmethod + async def _maybe_filter_model_input( + cls, + *, + agent: Agent[TContext], + run_config: RunConfig, + context_wrapper: RunContextWrapper[TContext], + input_items: list[TResponseInputItem], + system_instructions: str | None, + ) -> ModelInputData: + """Apply optional call_model_input_filter to modify model input. + + Returns a `ModelInputData` that will be sent to the model. + """ + effective_instructions = system_instructions + effective_input: list[TResponseInputItem] = input_items + + if run_config.call_model_input_filter is None: + return ModelInputData(input=effective_input, instructions=effective_instructions) + + try: + model_input = ModelInputData( + input=copy.deepcopy(effective_input), + instructions=effective_instructions, + ) + filter_payload: CallModelData[TContext] = CallModelData( + model_data=model_input, + agent=agent, + context=context_wrapper.context, + ) + maybe_updated = run_config.call_model_input_filter(filter_payload) + updated = await maybe_updated if inspect.isawaitable(maybe_updated) else maybe_updated + if not isinstance(updated, ModelInputData): + raise UserError("call_model_input_filter must return a ModelInputData instance") + return updated + except Exception as e: + _error_tracing.attach_error_to_current_span( + SpanError(message="Error in call_model_input_filter", data={"error": str(e)}) + ) + raise + @classmethod async def _run_input_guardrails_with_queue( cls, @@ -863,10 +936,18 @@ async def _run_single_turn_streamed( input = ItemHelpers.input_to_new_input_list(streamed_result.input) input.extend([item.to_input_item() for item in streamed_result.new_items]) + filtered = await cls._maybe_filter_model_input( + agent=agent, + run_config=run_config, + context_wrapper=context_wrapper, + input_items=input, + system_instructions=system_prompt, + ) + # 1. Stream the output events async for event in model.stream_response( - system_prompt, - input, + filtered.instructions, + filtered.input, model_settings, all_tools, output_schema, @@ -1034,7 +1115,6 @@ async def _get_single_step_result_from_streamed_response( run_config: RunConfig, tool_use_tracker: AgentToolUseTracker, ) -> SingleStepResult: - original_input = streamed_result.input pre_step_items = streamed_result.new_items event_queue = streamed_result._event_queue @@ -1161,13 +1241,22 @@ async def _get_new_response( previous_response_id: str | None, prompt_config: ResponsePromptParam | None, ) -> ModelResponse: + # Allow user to modify model input right before the call, if configured + filtered = await cls._maybe_filter_model_input( + agent=agent, + run_config=run_config, + context_wrapper=context_wrapper, + input_items=input, + system_instructions=system_prompt, + ) + model = cls._get_model(agent, run_config) model_settings = agent.model_settings.resolve(run_config.model_settings) model_settings = RunImpl.maybe_reset_tool_choice(agent, tool_use_tracker, model_settings) new_response = await model.get_response( - system_instructions=system_prompt, - input=input, + system_instructions=filtered.instructions, + input=filtered.input, model_settings=model_settings, tools=all_tools, output_schema=output_schema, From b05c03d7ba577475c3e2da65ee4d6e529b1dc63e Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Thu, 14 Aug 2025 17:48:07 -0400 Subject: [PATCH 321/337] Allow modifying the input sent to the model --- src/agents/run.py | 101 +++++++++++++++++-- tests/test_call_model_input_filter.py | 79 +++++++++++++++ tests/test_call_model_input_filter_unit.py | 107 +++++++++++++++++++++ 3 files changed, 281 insertions(+), 6 deletions(-) create mode 100644 tests/test_call_model_input_filter.py create mode 100644 tests/test_call_model_input_filter_unit.py diff --git a/src/agents/run.py b/src/agents/run.py index d0748e514..5f9ec10ac 100644 --- a/src/agents/run.py +++ b/src/agents/run.py @@ -4,7 +4,7 @@ import copy import inspect from dataclasses import dataclass, field -from typing import Any, Generic, cast +from typing import Any, Callable, Generic, cast from openai.types.responses import ResponseCompletedEvent from openai.types.responses.response_prompt_param import ( @@ -56,6 +56,7 @@ from .tracing.span_data import AgentSpanData from .usage import Usage from .util import _coro, _error_tracing +from .util._types import MaybeAwaitable DEFAULT_MAX_TURNS = 10 @@ -81,6 +82,27 @@ def get_default_agent_runner() -> AgentRunner: return DEFAULT_AGENT_RUNNER +@dataclass +class ModelInputData: + """Container for the data that will be sent to the model.""" + + input: list[TResponseInputItem] + instructions: str | None + + +@dataclass +class CallModelData(Generic[TContext]): + """Data passed to `RunConfig.call_model_input_filter` prior to model call.""" + + model_data: ModelInputData + agent: Agent[TContext] + context: TContext | None + + +# Type alias for the optional input filter callback +CallModelInputFilter = Callable[[CallModelData[Any]], MaybeAwaitable[ModelInputData]] + + @dataclass class RunConfig: """Configures settings for the entire agent run.""" @@ -139,6 +161,16 @@ class RunConfig: An optional dictionary of additional metadata to include with the trace. """ + call_model_input_filter: CallModelInputFilter | None = None + """ + Optional callback that is invoked immediately before calling the model. It receives the current + agent, context and the model input (instructions and input items), and must return a possibly + modified `ModelInputData` to use for the model call. + + This allows you to edit the input sent to the model e.g. to stay within a token limit. + For example, you can use this to add a system prompt to the input. + """ + class RunOptions(TypedDict, Generic[TContext]): """Arguments for ``AgentRunner`` methods.""" @@ -593,6 +625,47 @@ def run_streamed( ) return streamed_result + @classmethod + async def _maybe_filter_model_input( + cls, + *, + agent: Agent[TContext], + run_config: RunConfig, + context_wrapper: RunContextWrapper[TContext], + input_items: list[TResponseInputItem], + system_instructions: str | None, + ) -> ModelInputData: + """Apply optional call_model_input_filter to modify model input. + + Returns a `ModelInputData` that will be sent to the model. + """ + effective_instructions = system_instructions + effective_input: list[TResponseInputItem] = input_items + + if run_config.call_model_input_filter is None: + return ModelInputData(input=effective_input, instructions=effective_instructions) + + try: + model_input = ModelInputData( + input=copy.deepcopy(effective_input), + instructions=effective_instructions, + ) + filter_payload: CallModelData[TContext] = CallModelData( + model_data=model_input, + agent=agent, + context=context_wrapper.context, + ) + maybe_updated = run_config.call_model_input_filter(filter_payload) + updated = await maybe_updated if inspect.isawaitable(maybe_updated) else maybe_updated + if not isinstance(updated, ModelInputData): + raise UserError("call_model_input_filter must return a ModelInputData instance") + return updated + except Exception as e: + _error_tracing.attach_error_to_current_span( + SpanError(message="Error in call_model_input_filter", data={"error": str(e)}) + ) + raise + @classmethod async def _run_input_guardrails_with_queue( cls, @@ -863,10 +936,18 @@ async def _run_single_turn_streamed( input = ItemHelpers.input_to_new_input_list(streamed_result.input) input.extend([item.to_input_item() for item in streamed_result.new_items]) + filtered = await cls._maybe_filter_model_input( + agent=agent, + run_config=run_config, + context_wrapper=context_wrapper, + input_items=input, + system_instructions=system_prompt, + ) + # 1. Stream the output events async for event in model.stream_response( - system_prompt, - input, + filtered.instructions, + filtered.input, model_settings, all_tools, output_schema, @@ -1034,7 +1115,6 @@ async def _get_single_step_result_from_streamed_response( run_config: RunConfig, tool_use_tracker: AgentToolUseTracker, ) -> SingleStepResult: - original_input = streamed_result.input pre_step_items = streamed_result.new_items event_queue = streamed_result._event_queue @@ -1161,13 +1241,22 @@ async def _get_new_response( previous_response_id: str | None, prompt_config: ResponsePromptParam | None, ) -> ModelResponse: + # Allow user to modify model input right before the call, if configured + filtered = await cls._maybe_filter_model_input( + agent=agent, + run_config=run_config, + context_wrapper=context_wrapper, + input_items=input, + system_instructions=system_prompt, + ) + model = cls._get_model(agent, run_config) model_settings = agent.model_settings.resolve(run_config.model_settings) model_settings = RunImpl.maybe_reset_tool_choice(agent, tool_use_tracker, model_settings) new_response = await model.get_response( - system_instructions=system_prompt, - input=input, + system_instructions=filtered.instructions, + input=filtered.input, model_settings=model_settings, tools=all_tools, output_schema=output_schema, diff --git a/tests/test_call_model_input_filter.py b/tests/test_call_model_input_filter.py new file mode 100644 index 000000000..be2dc28e6 --- /dev/null +++ b/tests/test_call_model_input_filter.py @@ -0,0 +1,79 @@ +from __future__ import annotations + +from typing import Any + +import pytest + +from agents import Agent, RunConfig, Runner, UserError +from agents.run import CallModelData, ModelInputData + +from .fake_model import FakeModel +from .test_responses import get_text_input_item, get_text_message + + +@pytest.mark.asyncio +async def test_call_model_input_filter_sync_non_streamed() -> None: + model = FakeModel() + agent = Agent(name="test", model=model) + + # Prepare model output + model.set_next_output([get_text_message("ok")]) + + def filter_fn(data: CallModelData[Any]) -> ModelInputData: + mi = data.model_data + new_input = list(mi.input) + [get_text_input_item("added-sync")] + return ModelInputData(input=new_input, instructions="filtered-sync") + + await Runner.run( + agent, + input="start", + run_config=RunConfig(call_model_input_filter=filter_fn), + ) + + assert model.last_turn_args["system_instructions"] == "filtered-sync" + assert isinstance(model.last_turn_args["input"], list) + assert len(model.last_turn_args["input"]) == 2 + assert model.last_turn_args["input"][-1]["content"] == "added-sync" + + +@pytest.mark.asyncio +async def test_call_model_input_filter_async_streamed() -> None: + model = FakeModel() + agent = Agent(name="test", model=model) + + # Prepare model output + model.set_next_output([get_text_message("ok")]) + + async def filter_fn(data: CallModelData[Any]) -> ModelInputData: + mi = data.model_data + new_input = list(mi.input) + [get_text_input_item("added-async")] + return ModelInputData(input=new_input, instructions="filtered-async") + + result = Runner.run_streamed( + agent, + input="start", + run_config=RunConfig(call_model_input_filter=filter_fn), + ) + async for _ in result.stream_events(): + pass + + assert model.last_turn_args["system_instructions"] == "filtered-async" + assert isinstance(model.last_turn_args["input"], list) + assert len(model.last_turn_args["input"]) == 2 + assert model.last_turn_args["input"][-1]["content"] == "added-async" + + +@pytest.mark.asyncio +async def test_call_model_input_filter_invalid_return_type_raises() -> None: + model = FakeModel() + agent = Agent(name="test", model=model) + + def invalid_filter(_data: CallModelData[Any]): + return "bad" + + with pytest.raises(UserError): + await Runner.run( + agent, + input="start", + run_config=RunConfig(call_model_input_filter=invalid_filter), + ) diff --git a/tests/test_call_model_input_filter_unit.py b/tests/test_call_model_input_filter_unit.py new file mode 100644 index 000000000..7cf3a00a9 --- /dev/null +++ b/tests/test_call_model_input_filter_unit.py @@ -0,0 +1,107 @@ +from __future__ import annotations + +import sys +from pathlib import Path +from typing import Any + +import pytest +from openai.types.responses import ResponseOutputMessage, ResponseOutputText + +# Make the repository tests helpers importable from this unit test +sys.path.insert(0, str(Path(__file__).resolve().parent.parent / "tests")) +from fake_model import FakeModel # type: ignore + +# Import directly from submodules to avoid heavy __init__ side effects +from agents.agent import Agent +from agents.exceptions import UserError +from agents.run import CallModelData, ModelInputData, RunConfig, Runner + + +@pytest.mark.asyncio +async def test_call_model_input_filter_sync_non_streamed_unit() -> None: + model = FakeModel() + agent = Agent(name="test", model=model) + + model.set_next_output( + [ + ResponseOutputMessage( + id="1", + type="message", + role="assistant", + content=[ResponseOutputText(text="ok", type="output_text", annotations=[])], + status="completed", + ) + ] + ) + + def filter_fn(data: CallModelData[Any]) -> ModelInputData: + mi = data.model_data + new_input = list(mi.input) + [ + {"content": "added-sync", "role": "user"} + ] # pragma: no cover - trivial + return ModelInputData(input=new_input, instructions="filtered-sync") + + await Runner.run( + agent, + input="start", + run_config=RunConfig(call_model_input_filter=filter_fn), + ) + + assert model.last_turn_args["system_instructions"] == "filtered-sync" + assert isinstance(model.last_turn_args["input"], list) + assert len(model.last_turn_args["input"]) == 2 + assert model.last_turn_args["input"][-1]["content"] == "added-sync" + + +@pytest.mark.asyncio +async def test_call_model_input_filter_async_streamed_unit() -> None: + model = FakeModel() + agent = Agent(name="test", model=model) + + model.set_next_output( + [ + ResponseOutputMessage( + id="1", + type="message", + role="assistant", + content=[ResponseOutputText(text="ok", type="output_text", annotations=[])], + status="completed", + ) + ] + ) + + async def filter_fn(data: CallModelData[Any]) -> ModelInputData: + mi = data.model_data + new_input = list(mi.input) + [ + {"content": "added-async", "role": "user"} + ] # pragma: no cover - trivial + return ModelInputData(input=new_input, instructions="filtered-async") + + result = Runner.run_streamed( + agent, + input="start", + run_config=RunConfig(call_model_input_filter=filter_fn), + ) + async for _ in result.stream_events(): + pass + + assert model.last_turn_args["system_instructions"] == "filtered-async" + assert isinstance(model.last_turn_args["input"], list) + assert len(model.last_turn_args["input"]) == 2 + assert model.last_turn_args["input"][-1]["content"] == "added-async" + + +@pytest.mark.asyncio +async def test_call_model_input_filter_invalid_return_type_raises_unit() -> None: + model = FakeModel() + agent = Agent(name="test", model=model) + + def invalid_filter(_data: CallModelData[Any]): + return "bad" + + with pytest.raises(UserError): + await Runner.run( + agent, + input="start", + run_config=RunConfig(call_model_input_filter=invalid_filter), + ) From 905886cf036e27ad4e3ec94f9c705bc70486611c Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 15 Aug 2025 10:13:43 -0400 Subject: [PATCH 322/337] Make shallow copies of lists instead of deep copies --- src/agents/items.py | 3 +-- src/agents/run.py | 17 +++++++++++------ tests/test_items_helpers.py | 35 +++++++++++++++++++++++++++++++++++ 3 files changed, 47 insertions(+), 8 deletions(-) diff --git a/src/agents/items.py b/src/agents/items.py index c43e9f856..651d73127 100644 --- a/src/agents/items.py +++ b/src/agents/items.py @@ -1,7 +1,6 @@ from __future__ import annotations import abc -import copy from dataclasses import dataclass from typing import TYPE_CHECKING, Any, Generic, Literal, TypeVar, Union @@ -277,7 +276,7 @@ def input_to_new_input_list( "role": "user", } ] - return copy.deepcopy(input) + return input.copy() @classmethod def text_message_outputs(cls, items: list[RunItem]) -> str: diff --git a/src/agents/run.py b/src/agents/run.py index 5f9ec10ac..94d1abd86 100644 --- a/src/agents/run.py +++ b/src/agents/run.py @@ -1,7 +1,6 @@ from __future__ import annotations import asyncio -import copy import inspect from dataclasses import dataclass, field from typing import Any, Callable, Generic, cast @@ -387,7 +386,7 @@ async def run( disabled=run_config.tracing_disabled, ): current_turn = 0 - original_input: str | list[TResponseInputItem] = copy.deepcopy(prepared_input) + original_input: str | list[TResponseInputItem] = _copy_str_or_list(prepared_input) generated_items: list[RunItem] = [] model_responses: list[ModelResponse] = [] @@ -446,7 +445,7 @@ async def run( starting_agent, starting_agent.input_guardrails + (run_config.input_guardrails or []), - copy.deepcopy(prepared_input), + _copy_str_or_list(prepared_input), context_wrapper, ), self._run_single_turn( @@ -594,7 +593,7 @@ def run_streamed( ) streamed_result = RunResultStreaming( - input=copy.deepcopy(input), + input=_copy_str_or_list(input), new_items=[], current_agent=starting_agent, raw_responses=[], @@ -647,7 +646,7 @@ async def _maybe_filter_model_input( try: model_input = ModelInputData( - input=copy.deepcopy(effective_input), + input=_copy_str_or_list(effective_input), instructions=effective_instructions, ) filter_payload: CallModelData[TContext] = CallModelData( @@ -786,7 +785,7 @@ async def _start_streaming( cls._run_input_guardrails_with_queue( starting_agent, starting_agent.input_guardrails + (run_config.input_guardrails or []), - copy.deepcopy(ItemHelpers.input_to_new_input_list(prepared_input)), + ItemHelpers.input_to_new_input_list(prepared_input), context_wrapper, streamed_result, current_span, @@ -1376,3 +1375,9 @@ async def _save_result_to_session( DEFAULT_AGENT_RUNNER = AgentRunner() + + +def _copy_str_or_list(input: str | list[TResponseInputItem]) -> str | list[TResponseInputItem]: + if isinstance(input, str): + return input + return input.copy() diff --git a/tests/test_items_helpers.py b/tests/test_items_helpers.py index f711f21e1..a94d74547 100644 --- a/tests/test_items_helpers.py +++ b/tests/test_items_helpers.py @@ -1,5 +1,7 @@ from __future__ import annotations +import json + from openai.types.responses.response_computer_tool_call import ( ActionScreenshot, ResponseComputerToolCall, @@ -20,8 +22,10 @@ from openai.types.responses.response_output_message_param import ResponseOutputMessageParam from openai.types.responses.response_output_refusal import ResponseOutputRefusal from openai.types.responses.response_output_text import ResponseOutputText +from openai.types.responses.response_output_text_param import ResponseOutputTextParam from openai.types.responses.response_reasoning_item import ResponseReasoningItem, Summary from openai.types.responses.response_reasoning_item_param import ResponseReasoningItemParam +from pydantic import TypeAdapter from agents import ( Agent, @@ -290,3 +294,34 @@ def test_to_input_items_for_reasoning() -> None: print(converted_dict) print(expected) assert converted_dict == expected + + +def test_input_to_new_input_list_copies_the_ones_produced_by_pydantic() -> None: + # Given a list of message dictionaries, ensure the returned list is a deep copy. + original = ResponseOutputMessageParam( + id="a75654dc-7492-4d1c-bce0-89e8312fbdd7", + content=[ + ResponseOutputTextParam( + type="output_text", + text="Hey, what's up?", + annotations=[], + ) + ], + role="assistant", + status="completed", + type="message", + ) + original_json = json.dumps(original) + output_item = TypeAdapter(ResponseOutputMessageParam).validate_json(original_json) + new_list = ItemHelpers.input_to_new_input_list([output_item]) + assert len(new_list) == 1 + assert new_list[0]["id"] == original["id"] # type: ignore + size = 0 + for i, item in enumerate(original["content"]): + size += 1 # pydantic_core._pydantic_core.ValidatorIterator does not support len() + assert item["type"] == original["content"][i]["type"] # type: ignore + assert item["text"] == original["content"][i]["text"] # type: ignore + assert size == 1 + assert new_list[0]["role"] == original["role"] # type: ignore + assert new_list[0]["status"] == original["status"] # type: ignore + assert new_list[0]["type"] == original["type"] From 027d4ac8352e6dffb84afca05c8e22e23275f4a2 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 15 Aug 2025 10:13:43 -0400 Subject: [PATCH 323/337] Make shallow copies of lists instead of deep copies --- src/agents/items.py | 3 +-- src/agents/run.py | 17 +++++++++++------ tests/test_items_helpers.py | 35 +++++++++++++++++++++++++++++++++++ 3 files changed, 47 insertions(+), 8 deletions(-) diff --git a/src/agents/items.py b/src/agents/items.py index c43e9f856..651d73127 100644 --- a/src/agents/items.py +++ b/src/agents/items.py @@ -1,7 +1,6 @@ from __future__ import annotations import abc -import copy from dataclasses import dataclass from typing import TYPE_CHECKING, Any, Generic, Literal, TypeVar, Union @@ -277,7 +276,7 @@ def input_to_new_input_list( "role": "user", } ] - return copy.deepcopy(input) + return input.copy() @classmethod def text_message_outputs(cls, items: list[RunItem]) -> str: diff --git a/src/agents/run.py b/src/agents/run.py index 5f9ec10ac..3945e5131 100644 --- a/src/agents/run.py +++ b/src/agents/run.py @@ -1,7 +1,6 @@ from __future__ import annotations import asyncio -import copy import inspect from dataclasses import dataclass, field from typing import Any, Callable, Generic, cast @@ -387,7 +386,7 @@ async def run( disabled=run_config.tracing_disabled, ): current_turn = 0 - original_input: str | list[TResponseInputItem] = copy.deepcopy(prepared_input) + original_input: str | list[TResponseInputItem] = _copy_str_or_list(prepared_input) generated_items: list[RunItem] = [] model_responses: list[ModelResponse] = [] @@ -446,7 +445,7 @@ async def run( starting_agent, starting_agent.input_guardrails + (run_config.input_guardrails or []), - copy.deepcopy(prepared_input), + _copy_str_or_list(prepared_input), context_wrapper, ), self._run_single_turn( @@ -594,7 +593,7 @@ def run_streamed( ) streamed_result = RunResultStreaming( - input=copy.deepcopy(input), + input=_copy_str_or_list(input), new_items=[], current_agent=starting_agent, raw_responses=[], @@ -647,7 +646,7 @@ async def _maybe_filter_model_input( try: model_input = ModelInputData( - input=copy.deepcopy(effective_input), + input=effective_input.copy(), instructions=effective_instructions, ) filter_payload: CallModelData[TContext] = CallModelData( @@ -786,7 +785,7 @@ async def _start_streaming( cls._run_input_guardrails_with_queue( starting_agent, starting_agent.input_guardrails + (run_config.input_guardrails or []), - copy.deepcopy(ItemHelpers.input_to_new_input_list(prepared_input)), + ItemHelpers.input_to_new_input_list(prepared_input), context_wrapper, streamed_result, current_span, @@ -1376,3 +1375,9 @@ async def _save_result_to_session( DEFAULT_AGENT_RUNNER = AgentRunner() + + +def _copy_str_or_list(input: str | list[TResponseInputItem]) -> str | list[TResponseInputItem]: + if isinstance(input, str): + return input + return input.copy() diff --git a/tests/test_items_helpers.py b/tests/test_items_helpers.py index f711f21e1..a94d74547 100644 --- a/tests/test_items_helpers.py +++ b/tests/test_items_helpers.py @@ -1,5 +1,7 @@ from __future__ import annotations +import json + from openai.types.responses.response_computer_tool_call import ( ActionScreenshot, ResponseComputerToolCall, @@ -20,8 +22,10 @@ from openai.types.responses.response_output_message_param import ResponseOutputMessageParam from openai.types.responses.response_output_refusal import ResponseOutputRefusal from openai.types.responses.response_output_text import ResponseOutputText +from openai.types.responses.response_output_text_param import ResponseOutputTextParam from openai.types.responses.response_reasoning_item import ResponseReasoningItem, Summary from openai.types.responses.response_reasoning_item_param import ResponseReasoningItemParam +from pydantic import TypeAdapter from agents import ( Agent, @@ -290,3 +294,34 @@ def test_to_input_items_for_reasoning() -> None: print(converted_dict) print(expected) assert converted_dict == expected + + +def test_input_to_new_input_list_copies_the_ones_produced_by_pydantic() -> None: + # Given a list of message dictionaries, ensure the returned list is a deep copy. + original = ResponseOutputMessageParam( + id="a75654dc-7492-4d1c-bce0-89e8312fbdd7", + content=[ + ResponseOutputTextParam( + type="output_text", + text="Hey, what's up?", + annotations=[], + ) + ], + role="assistant", + status="completed", + type="message", + ) + original_json = json.dumps(original) + output_item = TypeAdapter(ResponseOutputMessageParam).validate_json(original_json) + new_list = ItemHelpers.input_to_new_input_list([output_item]) + assert len(new_list) == 1 + assert new_list[0]["id"] == original["id"] # type: ignore + size = 0 + for i, item in enumerate(original["content"]): + size += 1 # pydantic_core._pydantic_core.ValidatorIterator does not support len() + assert item["type"] == original["content"][i]["type"] # type: ignore + assert item["text"] == original["content"][i]["text"] # type: ignore + assert size == 1 + assert new_list[0]["role"] == original["role"] # type: ignore + assert new_list[0]["status"] == original["status"] # type: ignore + assert new_list[0]["type"] == original["type"] From 826e6edaa9b712fc19d2fd30ca927fdb1105b582 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 15 Aug 2025 12:47:44 -0400 Subject: [PATCH 324/337] Realtime: fix history bug --- src/agents/realtime/session.py | 55 +++++++++++++++++++++++++++-- tests/realtime/test_session.py | 63 ++++++++++++++++++++++++++++++++++ 2 files changed, 116 insertions(+), 2 deletions(-) diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index 4629f1bb5..d06a078a6 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -10,6 +10,7 @@ from ..agent import Agent from ..exceptions import ModelBehaviorError, UserError from ..handoffs import Handoff +from ..logger import logger from ..run_context import RunContextWrapper, TContext from ..tool import FunctionTool from ..tool_context import ToolContext @@ -33,7 +34,7 @@ RealtimeToolStart, ) from .handoffs import realtime_handoff -from .items import InputAudio, InputText, RealtimeItem +from .items import AssistantAudio, InputAudio, InputText, RealtimeItem from .model import RealtimeModel, RealtimeModelConfig, RealtimeModelListener from .model_events import ( RealtimeModelEvent, @@ -246,7 +247,57 @@ async def on_event(self, event: RealtimeModelEvent) -> None: self._enqueue_guardrail_task(self._item_transcripts[item_id], event.response_id) elif event.type == "item_updated": is_new = not any(item.item_id == event.item.item_id for item in self._history) - self._history = self._get_new_history(self._history, event.item) + + # Preserve previously known transcripts when updating existing items. + # This prevents transcripts from disappearing when an item is later + # retrieved without transcript fields populated. + incoming_item = event.item + existing_item = next( + (i for i in self._history if i.item_id == incoming_item.item_id), None + ) + + if ( + existing_item is not None + and existing_item.type == "message" + and incoming_item.type == "message" + ): + try: + # Merge transcripts for matching content indices + existing_content = existing_item.content + new_content = [] + for idx, entry in enumerate(incoming_item.content): + # Only attempt to preserve for audio-like content + if entry.type in ("audio", "input_audio"): + assert isinstance(entry, InputAudio | AssistantAudio) + # Determine if transcript is missing/empty on the incoming entry + entry_transcript = entry.transcript + if not entry_transcript: + preserved: str | None = None + # First prefer any transcript from the existing history item + if idx < len(existing_content): + this_content = existing_content[idx] + if isinstance(this_content, AssistantAudio) or isinstance( + this_content, InputAudio + ): + preserved = this_content.transcript + + # If still missing and this is an assistant item, fall back to + # accumulated transcript deltas tracked during the turn. + if not preserved and incoming_item.role == "assistant": + preserved = self._item_transcripts.get(incoming_item.item_id) + + if preserved: + entry = entry.model_copy(update={"transcript": preserved}) + + new_content.append(entry) + + if new_content: + incoming_item = incoming_item.model_copy(update={"content": new_content}) + except Exception: + logger.error("Error merging transcripts", exc_info=True) + pass + + self._history = self._get_new_history(self._history, incoming_item) if is_new: new_item = next( item for item in self._history if item.item_id == event.item.item_id diff --git a/tests/realtime/test_session.py b/tests/realtime/test_session.py index 3b6c5bac6..cd562c522 100644 --- a/tests/realtime/test_session.py +++ b/tests/realtime/test_session.py @@ -22,6 +22,7 @@ RealtimeToolStart, ) from agents.realtime.items import ( + AssistantAudio, AssistantMessageItem, AssistantText, InputAudio, @@ -1625,3 +1626,65 @@ async def test_update_agent_creates_handoff_and_session_update_event(self, mock_ # Check that the current agent and session settings are updated assert session._current_agent == second_agent + + +class TestTranscriptPreservation: + """Tests ensuring assistant transcripts are preserved across updates.""" + + @pytest.mark.asyncio + async def test_assistant_transcript_preserved_on_item_update(self, mock_model, mock_agent): + session = RealtimeSession(mock_model, mock_agent, None) + + # Initial assistant message with audio transcript present (e.g., from first turn) + initial_item = AssistantMessageItem( + item_id="assist_1", + role="assistant", + content=[AssistantAudio(audio=None, transcript="Hello there")], + ) + session._history = [initial_item] + + # Later, the platform retrieves/updates the same item but without transcript populated + updated_without_transcript = AssistantMessageItem( + item_id="assist_1", + role="assistant", + content=[AssistantAudio(audio=None, transcript=None)], + ) + + await session.on_event(RealtimeModelItemUpdatedEvent(item=updated_without_transcript)) + + # Transcript should be preserved from existing history + assert len(session._history) == 1 + preserved_item = cast(AssistantMessageItem, session._history[0]) + assert isinstance(preserved_item.content[0], AssistantAudio) + assert preserved_item.content[0].transcript == "Hello there" + + @pytest.mark.asyncio + async def test_assistant_transcript_can_fallback_to_deltas(self, mock_model, mock_agent): + session = RealtimeSession(mock_model, mock_agent, None) + + # Simulate transcript deltas accumulated for an assistant item during generation + await session.on_event( + RealtimeModelTranscriptDeltaEvent( + item_id="assist_2", delta="partial transcript", response_id="resp_2" + ) + ) + + # Add initial assistant message without transcript + initial_item = AssistantMessageItem( + item_id="assist_2", + role="assistant", + content=[AssistantAudio(audio=None, transcript=None)], + ) + await session.on_event(RealtimeModelItemUpdatedEvent(item=initial_item)) + + # Later update still lacks transcript; merge should fallback to accumulated deltas + update_again = AssistantMessageItem( + item_id="assist_2", + role="assistant", + content=[AssistantAudio(audio=None, transcript=None)], + ) + await session.on_event(RealtimeModelItemUpdatedEvent(item=update_again)) + + preserved_item = cast(AssistantMessageItem, session._history[0]) + assert isinstance(preserved_item.content[0], AssistantAudio) + assert preserved_item.content[0].transcript == "partial transcript" From 7fa0035841632d6a8b6122c31ac20e8ca05c9572 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 15 Aug 2025 12:47:44 -0400 Subject: [PATCH 325/337] Realtime: fix history bug --- src/agents/realtime/session.py | 56 ++++++++++++++++++++++++++++-- tests/realtime/test_session.py | 63 ++++++++++++++++++++++++++++++++++ 2 files changed, 117 insertions(+), 2 deletions(-) diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index 4629f1bb5..42d61cf2b 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -10,6 +10,7 @@ from ..agent import Agent from ..exceptions import ModelBehaviorError, UserError from ..handoffs import Handoff +from ..logger import logger from ..run_context import RunContextWrapper, TContext from ..tool import FunctionTool from ..tool_context import ToolContext @@ -33,7 +34,7 @@ RealtimeToolStart, ) from .handoffs import realtime_handoff -from .items import InputAudio, InputText, RealtimeItem +from .items import AssistantAudio, InputAudio, InputText, RealtimeItem from .model import RealtimeModel, RealtimeModelConfig, RealtimeModelListener from .model_events import ( RealtimeModelEvent, @@ -246,7 +247,58 @@ async def on_event(self, event: RealtimeModelEvent) -> None: self._enqueue_guardrail_task(self._item_transcripts[item_id], event.response_id) elif event.type == "item_updated": is_new = not any(item.item_id == event.item.item_id for item in self._history) - self._history = self._get_new_history(self._history, event.item) + + # Preserve previously known transcripts when updating existing items. + # This prevents transcripts from disappearing when an item is later + # retrieved without transcript fields populated. + incoming_item = event.item + existing_item = next( + (i for i in self._history if i.item_id == incoming_item.item_id), None + ) + + if ( + existing_item is not None + and existing_item.type == "message" + and incoming_item.type == "message" + ): + try: + # Merge transcripts for matching content indices + existing_content = existing_item.content + new_content = [] + for idx, entry in enumerate(incoming_item.content): + # Only attempt to preserve for audio-like content + if entry.type in ("audio", "input_audio"): + # Use tuple form for Python 3.9 compatibility + assert isinstance(entry, (InputAudio, AssistantAudio)) + # Determine if transcript is missing/empty on the incoming entry + entry_transcript = entry.transcript + if not entry_transcript: + preserved: str | None = None + # First prefer any transcript from the existing history item + if idx < len(existing_content): + this_content = existing_content[idx] + if isinstance(this_content, AssistantAudio) or isinstance( + this_content, InputAudio + ): + preserved = this_content.transcript + + # If still missing and this is an assistant item, fall back to + # accumulated transcript deltas tracked during the turn. + if not preserved and incoming_item.role == "assistant": + preserved = self._item_transcripts.get(incoming_item.item_id) + + if preserved: + entry = entry.model_copy(update={"transcript": preserved}) + + new_content.append(entry) + + if new_content: + incoming_item = incoming_item.model_copy(update={"content": new_content}) + except Exception: + logger.error("Error merging transcripts", exc_info=True) + pass + + self._history = self._get_new_history(self._history, incoming_item) if is_new: new_item = next( item for item in self._history if item.item_id == event.item.item_id diff --git a/tests/realtime/test_session.py b/tests/realtime/test_session.py index 3b6c5bac6..cd562c522 100644 --- a/tests/realtime/test_session.py +++ b/tests/realtime/test_session.py @@ -22,6 +22,7 @@ RealtimeToolStart, ) from agents.realtime.items import ( + AssistantAudio, AssistantMessageItem, AssistantText, InputAudio, @@ -1625,3 +1626,65 @@ async def test_update_agent_creates_handoff_and_session_update_event(self, mock_ # Check that the current agent and session settings are updated assert session._current_agent == second_agent + + +class TestTranscriptPreservation: + """Tests ensuring assistant transcripts are preserved across updates.""" + + @pytest.mark.asyncio + async def test_assistant_transcript_preserved_on_item_update(self, mock_model, mock_agent): + session = RealtimeSession(mock_model, mock_agent, None) + + # Initial assistant message with audio transcript present (e.g., from first turn) + initial_item = AssistantMessageItem( + item_id="assist_1", + role="assistant", + content=[AssistantAudio(audio=None, transcript="Hello there")], + ) + session._history = [initial_item] + + # Later, the platform retrieves/updates the same item but without transcript populated + updated_without_transcript = AssistantMessageItem( + item_id="assist_1", + role="assistant", + content=[AssistantAudio(audio=None, transcript=None)], + ) + + await session.on_event(RealtimeModelItemUpdatedEvent(item=updated_without_transcript)) + + # Transcript should be preserved from existing history + assert len(session._history) == 1 + preserved_item = cast(AssistantMessageItem, session._history[0]) + assert isinstance(preserved_item.content[0], AssistantAudio) + assert preserved_item.content[0].transcript == "Hello there" + + @pytest.mark.asyncio + async def test_assistant_transcript_can_fallback_to_deltas(self, mock_model, mock_agent): + session = RealtimeSession(mock_model, mock_agent, None) + + # Simulate transcript deltas accumulated for an assistant item during generation + await session.on_event( + RealtimeModelTranscriptDeltaEvent( + item_id="assist_2", delta="partial transcript", response_id="resp_2" + ) + ) + + # Add initial assistant message without transcript + initial_item = AssistantMessageItem( + item_id="assist_2", + role="assistant", + content=[AssistantAudio(audio=None, transcript=None)], + ) + await session.on_event(RealtimeModelItemUpdatedEvent(item=initial_item)) + + # Later update still lacks transcript; merge should fallback to accumulated deltas + update_again = AssistantMessageItem( + item_id="assist_2", + role="assistant", + content=[AssistantAudio(audio=None, transcript=None)], + ) + await session.on_event(RealtimeModelItemUpdatedEvent(item=update_again)) + + preserved_item = cast(AssistantMessageItem, session._history[0]) + assert isinstance(preserved_item.content[0], AssistantAudio) + assert preserved_item.content[0].transcript == "partial transcript" From c30d99b274c490307ec1cac8c2383e6ac66a2a84 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 15 Aug 2025 15:19:04 -0400 Subject: [PATCH 326/337] Max buffer size --- src/agents/realtime/openai_realtime.py | 27 ++++++++++- tests/realtime/test_openai_realtime.py | 62 ++++++++++++++++++++++++++ 2 files changed, 87 insertions(+), 2 deletions(-) diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 4485deba8..e843b47fe 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -104,6 +104,10 @@ _USER_AGENT = f"Agents/Python {__version__}" +# Conservative maximum raw audio bytes per websocket message before base64 +# expansion and JSON wrapping, to stay well below typical 1 MiB frame limits. +_MAX_RAW_AUDIO_CHUNK_SIZE_BYTES = 256_000 + DEFAULT_MODEL_SETTINGS: RealtimeSessionModelSettings = { "voice": "ash", "modalities": ["text", "audio"], @@ -274,8 +278,27 @@ async def _send_user_input(self, event: RealtimeModelSendUserInput) -> None: await self._send_raw_message(OpenAIResponseCreateEvent(type="response.create")) async def _send_audio(self, event: RealtimeModelSendAudio) -> None: - converted = _ConversionHelper.convert_audio_to_input_audio_buffer_append(event) - await self._send_raw_message(converted) + audio_bytes = event.audio or b"" + + # Chunk large audio payloads to avoid exceeding WebSocket frame limits + # when base64-encoding into JSON messages. + if len(audio_bytes) <= _MAX_RAW_AUDIO_CHUNK_SIZE_BYTES: + converted = _ConversionHelper.convert_audio_to_input_audio_buffer_append(event) + await self._send_raw_message(converted) + else: + start_index = 0 + total_length = len(audio_bytes) + while start_index < total_length: + end_index = min(start_index + _MAX_RAW_AUDIO_CHUNK_SIZE_BYTES, total_length) + chunk = audio_bytes[start_index:end_index] + start_index = end_index + + chunk_event = RealtimeModelSendAudio(audio=chunk, commit=False) + converted = _ConversionHelper.convert_audio_to_input_audio_buffer_append( + chunk_event + ) + await self._send_raw_message(converted) + if event.commit: await self._send_raw_message( OpenAIInputAudioBufferCommitEvent(type="input_audio_buffer.commit") diff --git a/tests/realtime/test_openai_realtime.py b/tests/realtime/test_openai_realtime.py index 4c410bf6e..ef9d43dd7 100644 --- a/tests/realtime/test_openai_realtime.py +++ b/tests/realtime/test_openai_realtime.py @@ -396,3 +396,65 @@ async def test_handle_audio_delta_state_management(self, model): # Test that last audio item is tracked last_item = model._audio_state_tracker.get_last_audio_item() assert last_item == ("test_item", 5) + + +class TestAudioChunking(TestOpenAIRealtimeWebSocketModel): + """Tests for chunking behavior when sending audio to avoid large WS frames.""" + + @pytest.mark.asyncio + async def test_send_audio_small_single_chunk_with_commit(self, model): + from agents.realtime.model_inputs import RealtimeModelSendAudio + + # Use a small payload below the chunk threshold + small_audio = b"a" * 1024 + + with patch.object(model, "_send_raw_message") as mock_send_raw_message: + await model._send_audio(RealtimeModelSendAudio(audio=small_audio, commit=True)) + + # Should send append once and then commit once + assert mock_send_raw_message.call_count == 2 + append_event = mock_send_raw_message.call_args_list[0].args[0] + commit_event = mock_send_raw_message.call_args_list[1].args[0] + assert getattr(append_event, "type", None) == "input_audio_buffer.append" + assert getattr(commit_event, "type", None) == "input_audio_buffer.commit" + + @pytest.mark.asyncio + async def test_send_audio_is_chunked_and_committed(self, model): + from agents.realtime.model_inputs import RealtimeModelSendAudio + from agents.realtime.openai_realtime import _MAX_RAW_AUDIO_CHUNK_SIZE_BYTES + + # Construct a payload that requires multiple chunks (2 full + 1 partial) + total_size = (_MAX_RAW_AUDIO_CHUNK_SIZE_BYTES * 2) + (_MAX_RAW_AUDIO_CHUNK_SIZE_BYTES // 2) + audio_bytes = b"b" * total_size + + with patch.object(model, "_send_raw_message") as mock_send_raw_message: + await model._send_audio(RealtimeModelSendAudio(audio=audio_bytes, commit=True)) + + # Expect 3 append events + 1 commit event + assert mock_send_raw_message.call_count == 4 + + # All but last should be append events + for call in mock_send_raw_message.call_args_list[:-1]: + event = call.args[0] + assert getattr(event, "type", None) == "input_audio_buffer.append" + + # Last should be commit event + last_event = mock_send_raw_message.call_args_list[-1].args[0] + assert getattr(last_event, "type", None) == "input_audio_buffer.commit" + + @pytest.mark.asyncio + async def test_send_audio_chunked_without_commit(self, model): + from agents.realtime.model_inputs import RealtimeModelSendAudio + from agents.realtime.openai_realtime import _MAX_RAW_AUDIO_CHUNK_SIZE_BYTES + + total_size = (_MAX_RAW_AUDIO_CHUNK_SIZE_BYTES * 2) + 10 + audio_bytes = b"c" * total_size + + with patch.object(model, "_send_raw_message") as mock_send_raw_message: + await model._send_audio(RealtimeModelSendAudio(audio=audio_bytes, commit=False)) + + # Expect only append events (no commit) + assert mock_send_raw_message.call_count == 3 + for call in mock_send_raw_message.call_args_list: + event = call.args[0] + assert getattr(event, "type", None) == "input_audio_buffer.append" From 5290f646ff20d6a07a602c4a9a5f4e4ef6a6862d Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 15 Aug 2025 16:17:32 -0400 Subject: [PATCH 327/337] Debug logging for rz --- src/agents/realtime/openai_realtime.py | 13 ++++++++++++- 1 file changed, 12 insertions(+), 1 deletion(-) diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 4485deba8..68ece8921 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -266,7 +266,11 @@ async def _send_raw_message(self, event: OpenAIRealtimeClientEvent) -> None: """Send a raw message to the model.""" assert self._websocket is not None, "Not connected" - await self._websocket.send(event.model_dump_json(exclude_none=True, exclude_unset=True)) + json_str = event.model_dump_json(exclude_none=True, exclude_unset=True) + + logger.debug(f"ZZZZZ Sending raw message of type {event.type}. Length: {len(json_str)}") + + await self._websocket.send(json_str) async def _send_user_input(self, event: RealtimeModelSendUserInput) -> None: converted = _ConversionHelper.convert_user_input_to_item_create(event) @@ -275,6 +279,13 @@ async def _send_user_input(self, event: RealtimeModelSendUserInput) -> None: async def _send_audio(self, event: RealtimeModelSendAudio) -> None: converted = _ConversionHelper.convert_audio_to_input_audio_buffer_append(event) + input_audio_len = len(event.audio) + b64_audio_len = len(converted.audio) + logger.debug( + f"ZZZZZ Sending audio of length {input_audio_len}. " + f"Base64 encoded length: {b64_audio_len}" + ) + await self._send_raw_message(converted) if event.commit: await self._send_raw_message( From 991b4a293f40b02abe3c98462109b050be409f68 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 15 Aug 2025 16:17:32 -0400 Subject: [PATCH 328/337] Debug logging for rz --- src/agents/realtime/openai_realtime.py | 13 ++++++++++++- 1 file changed, 12 insertions(+), 1 deletion(-) diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 4485deba8..1b0f2fe35 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -266,7 +266,11 @@ async def _send_raw_message(self, event: OpenAIRealtimeClientEvent) -> None: """Send a raw message to the model.""" assert self._websocket is not None, "Not connected" - await self._websocket.send(event.model_dump_json(exclude_none=True, exclude_unset=True)) + json_str = event.model_dump_json(exclude_none=True, exclude_unset=True) + + logger.debug(f"ZZZZZ Sending raw message of type {event.type}. Length: {len(json_str)}") + + await self._websocket.send(json_str) async def _send_user_input(self, event: RealtimeModelSendUserInput) -> None: converted = _ConversionHelper.convert_user_input_to_item_create(event) @@ -275,6 +279,13 @@ async def _send_user_input(self, event: RealtimeModelSendUserInput) -> None: async def _send_audio(self, event: RealtimeModelSendAudio) -> None: converted = _ConversionHelper.convert_audio_to_input_audio_buffer_append(event) + input_audio_len = len(event.audio) + b64_audio_len = len(base64.b64encode(event.audio).decode("utf-8")) + logger.debug( + f"ZZZZZ Sending audio of length {input_audio_len}. " + f"Base64 encoded length: {b64_audio_len}" + ) + await self._send_raw_message(converted) if event.commit: await self._send_raw_message( From 9de07ce40c78ce96d26c3f7f943dccd65b0ee641 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 15 Aug 2025 17:04:39 -0400 Subject: [PATCH 329/337] Realtime: allow arbitrarily sized messages --- src/agents/realtime/openai_realtime.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 4485deba8..bbeda20f1 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -170,7 +170,10 @@ async def connect(self, options: RealtimeModelConfig) -> None: "OpenAI-Beta": "realtime=v1", } self._websocket = await websockets.connect( - url, user_agent_header=_USER_AGENT, additional_headers=headers + url, + user_agent_header=_USER_AGENT, + additional_headers=headers, + max_size=None, # Allow any size of message ) self._websocket_task = asyncio.create_task(self._listen_for_messages()) await self._update_session_config(model_settings) From ad4de817fde12c6ea3898bd2940e84a49ae29b5e Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 15 Aug 2025 17:06:22 -0400 Subject: [PATCH 330/337] 0.2.8 --- pyproject.toml | 2 +- uv.lock | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 1556d8780..01139d631 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "openai-agents" -version = "0.2.7" +version = "0.2.8" description = "OpenAI Agents SDK" readme = "README.md" requires-python = ">=3.9" diff --git a/uv.lock b/uv.lock index b7a2c1d89..f6e2d9b80 100644 --- a/uv.lock +++ b/uv.lock @@ -1482,7 +1482,7 @@ wheels = [ [[package]] name = "openai-agents" -version = "0.2.7" +version = "0.2.8" source = { editable = "." } dependencies = [ { name = "griffe" }, From c4de30b81668707f7690f79f93093860284aac22 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Thu, 21 Aug 2025 13:22:52 -0400 Subject: [PATCH 331/337] Realtime: input timeout trigger event --- examples/realtime/app/server.py | 10 ++++++++- src/agents/realtime/config.py | 3 +++ src/agents/realtime/events.py | 11 +++++++++ src/agents/realtime/model_events.py | 10 +++++++++ src/agents/realtime/openai_realtime.py | 31 ++++++++++++++++++++++---- src/agents/realtime/session.py | 7 ++++++ 6 files changed, 67 insertions(+), 5 deletions(-) diff --git a/examples/realtime/app/server.py b/examples/realtime/app/server.py index 73fcf3e56..6d6898809 100644 --- a/examples/realtime/app/server.py +++ b/examples/realtime/app/server.py @@ -42,7 +42,13 @@ async def connect(self, websocket: WebSocket, session_id: str): agent = get_starting_agent() runner = RealtimeRunner(agent) - session_context = await runner.run() + session_context = await runner.run( + model_config={ + "initial_model_settings": { + "turn_detection": {"type": "server_vad", "idle_timeout_ms": 5000} + } + } + ) session = await session_context.__aenter__() self.active_sessions[session_id] = session self.session_contexts[session_id] = session_context @@ -111,6 +117,8 @@ async def _serialize_event(self, event: RealtimeSessionEvent) -> dict[str, Any]: } elif event.type == "error": base_event["error"] = str(event.error) if hasattr(event, "error") else "Unknown error" + elif event.type == "input_audio_timeout_triggered": + pass else: assert_never(event) diff --git a/src/agents/realtime/config.py b/src/agents/realtime/config.py index fdbc19074..36254012b 100644 --- a/src/agents/realtime/config.py +++ b/src/agents/realtime/config.py @@ -78,6 +78,9 @@ class RealtimeTurnDetectionConfig(TypedDict): threshold: NotRequired[float] """The threshold for voice activity detection.""" + idle_timeout_ms: NotRequired[int] + """Threshold for server-vad to trigger a response if the user is idle for this duration.""" + class RealtimeSessionModelSettings(TypedDict): """Model settings for a realtime model session.""" diff --git a/src/agents/realtime/events.py b/src/agents/realtime/events.py index 93248b611..3c523c33b 100644 --- a/src/agents/realtime/events.py +++ b/src/agents/realtime/events.py @@ -216,6 +216,16 @@ class RealtimeGuardrailTripped: type: Literal["guardrail_tripped"] = "guardrail_tripped" +@dataclass +class RealtimeInputAudioTimeoutTriggered: + """Called when the model detects a period of inactivity/silence from the user.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["input_audio_timeout_triggered"] = "input_audio_timeout_triggered" + + RealtimeSessionEvent: TypeAlias = Union[ RealtimeAgentStartEvent, RealtimeAgentEndEvent, @@ -230,5 +240,6 @@ class RealtimeGuardrailTripped: RealtimeHistoryUpdated, RealtimeHistoryAdded, RealtimeGuardrailTripped, + RealtimeInputAudioTimeoutTriggered, ] """An event emitted by the realtime session.""" diff --git a/src/agents/realtime/model_events.py b/src/agents/realtime/model_events.py index 5aeadc0f9..a6d0bdecb 100644 --- a/src/agents/realtime/model_events.py +++ b/src/agents/realtime/model_events.py @@ -84,6 +84,15 @@ class RealtimeModelInputAudioTranscriptionCompletedEvent: type: Literal["input_audio_transcription_completed"] = "input_audio_transcription_completed" +@dataclass +class RealtimeModelInputAudioTimeoutTriggeredEvent: + """Input audio timeout triggered.""" + + item_id: str + audio_start_ms: int + audio_end_ms: int + + type: Literal["input_audio_timeout_triggered"] = "input_audio_timeout_triggered" @dataclass class RealtimeModelTranscriptDeltaEvent: @@ -174,6 +183,7 @@ class RealtimeModelRawServerEvent: RealtimeModelAudioEvent, RealtimeModelAudioInterruptedEvent, RealtimeModelAudioDoneEvent, + RealtimeModelInputAudioTimeoutTriggeredEvent, RealtimeModelInputAudioTranscriptionCompletedEvent, RealtimeModelTranscriptDeltaEvent, RealtimeModelItemUpdatedEvent, diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index bbeda20f1..b483308d3 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -6,7 +6,7 @@ import json import os from datetime import datetime -from typing import Any, Callable, Literal +from typing import Annotated, Any, Callable, Literal, Union import pydantic import websockets @@ -52,7 +52,7 @@ SessionTracingTracingConfiguration as OpenAISessionTracingConfiguration, SessionUpdateEvent as OpenAISessionUpdateEvent, ) -from pydantic import TypeAdapter +from pydantic import BaseModel, Field, TypeAdapter from typing_extensions import assert_never from websockets.asyncio.client import ClientConnection @@ -83,6 +83,7 @@ RealtimeModelErrorEvent, RealtimeModelEvent, RealtimeModelExceptionEvent, + RealtimeModelInputAudioTimeoutTriggeredEvent, RealtimeModelInputAudioTranscriptionCompletedEvent, RealtimeModelItemDeletedEvent, RealtimeModelItemUpdatedEvent, @@ -128,6 +129,22 @@ async def get_api_key(key: str | Callable[[], MaybeAwaitable[str]] | None) -> st return os.getenv("OPENAI_API_KEY") +class _InputAudioBufferTimeoutTriggeredEvent(BaseModel): + type: Literal["input_audio_buffer.timeout_triggered"] + event_id: str + audio_start_ms: int + audio_end_ms: int + item_id: str + +AllRealtimeServerEvents = Annotated[ + Union[ + OpenAIRealtimeServerEvent, + _InputAudioBufferTimeoutTriggeredEvent, + ], + Field(discriminator="type"), +] + + class OpenAIRealtimeWebSocketModel(RealtimeModel): """A model that uses OpenAI's WebSocket API.""" @@ -462,8 +479,8 @@ async def _handle_ws_event(self, event: dict[str, Any]): try: if "previous_item_id" in event and event["previous_item_id"] is None: event["previous_item_id"] = "" # TODO (rm) remove - parsed: OpenAIRealtimeServerEvent = TypeAdapter( - OpenAIRealtimeServerEvent + parsed: AllRealtimeServerEvents = TypeAdapter( + AllRealtimeServerEvents ).validate_python(event) except pydantic.ValidationError as e: logger.error(f"Failed to validate server event: {event}", exc_info=True) @@ -554,6 +571,12 @@ async def _handle_ws_event(self, event: dict[str, Any]): or parsed.type == "response.output_item.done" ): await self._handle_output_item(parsed.item) + elif parsed.type == "input_audio_buffer.timeout_triggered": + await self._emit_event(RealtimeModelInputAudioTimeoutTriggeredEvent( + item_id=parsed.item_id, + audio_start_ms=parsed.audio_start_ms, + audio_end_ms=parsed.audio_end_ms, + )) def _update_created_session(self, session: OpenAISessionObject) -> None: self._created_session = session diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index 42d61cf2b..c309a2655 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -28,6 +28,7 @@ RealtimeHandoffEvent, RealtimeHistoryAdded, RealtimeHistoryUpdated, + RealtimeInputAudioTimeoutTriggered, RealtimeRawModelEvent, RealtimeSessionEvent, RealtimeToolEnd, @@ -227,6 +228,12 @@ async def on_event(self, event: RealtimeModelEvent) -> None: await self._put_event( RealtimeHistoryUpdated(info=self._event_info, history=self._history) ) + elif event.type == "input_audio_timeout_triggered": + await self._put_event( + RealtimeInputAudioTimeoutTriggered( + info=self._event_info, + ) + ) elif event.type == "transcript_delta": # Accumulate transcript text for guardrail debouncing per item_id item_id = event.item_id From b5223c81ab889a41800f1446b6969629a28d61e2 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Thu, 21 Aug 2025 13:22:52 -0400 Subject: [PATCH 332/337] Realtime: input timeout trigger event --- examples/realtime/app/server.py | 2 ++ src/agents/realtime/config.py | 3 +++ src/agents/realtime/events.py | 11 +++++++++ src/agents/realtime/model_events.py | 10 +++++++++ src/agents/realtime/openai_realtime.py | 31 ++++++++++++++++++++++---- src/agents/realtime/session.py | 7 ++++++ 6 files changed, 60 insertions(+), 4 deletions(-) diff --git a/examples/realtime/app/server.py b/examples/realtime/app/server.py index 73fcf3e56..4690c3067 100644 --- a/examples/realtime/app/server.py +++ b/examples/realtime/app/server.py @@ -111,6 +111,8 @@ async def _serialize_event(self, event: RealtimeSessionEvent) -> dict[str, Any]: } elif event.type == "error": base_event["error"] = str(event.error) if hasattr(event, "error") else "Unknown error" + elif event.type == "input_audio_timeout_triggered": + pass else: assert_never(event) diff --git a/src/agents/realtime/config.py b/src/agents/realtime/config.py index fdbc19074..36254012b 100644 --- a/src/agents/realtime/config.py +++ b/src/agents/realtime/config.py @@ -78,6 +78,9 @@ class RealtimeTurnDetectionConfig(TypedDict): threshold: NotRequired[float] """The threshold for voice activity detection.""" + idle_timeout_ms: NotRequired[int] + """Threshold for server-vad to trigger a response if the user is idle for this duration.""" + class RealtimeSessionModelSettings(TypedDict): """Model settings for a realtime model session.""" diff --git a/src/agents/realtime/events.py b/src/agents/realtime/events.py index 93248b611..3c523c33b 100644 --- a/src/agents/realtime/events.py +++ b/src/agents/realtime/events.py @@ -216,6 +216,16 @@ class RealtimeGuardrailTripped: type: Literal["guardrail_tripped"] = "guardrail_tripped" +@dataclass +class RealtimeInputAudioTimeoutTriggered: + """Called when the model detects a period of inactivity/silence from the user.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["input_audio_timeout_triggered"] = "input_audio_timeout_triggered" + + RealtimeSessionEvent: TypeAlias = Union[ RealtimeAgentStartEvent, RealtimeAgentEndEvent, @@ -230,5 +240,6 @@ class RealtimeGuardrailTripped: RealtimeHistoryUpdated, RealtimeHistoryAdded, RealtimeGuardrailTripped, + RealtimeInputAudioTimeoutTriggered, ] """An event emitted by the realtime session.""" diff --git a/src/agents/realtime/model_events.py b/src/agents/realtime/model_events.py index 5aeadc0f9..a6d0bdecb 100644 --- a/src/agents/realtime/model_events.py +++ b/src/agents/realtime/model_events.py @@ -84,6 +84,15 @@ class RealtimeModelInputAudioTranscriptionCompletedEvent: type: Literal["input_audio_transcription_completed"] = "input_audio_transcription_completed" +@dataclass +class RealtimeModelInputAudioTimeoutTriggeredEvent: + """Input audio timeout triggered.""" + + item_id: str + audio_start_ms: int + audio_end_ms: int + + type: Literal["input_audio_timeout_triggered"] = "input_audio_timeout_triggered" @dataclass class RealtimeModelTranscriptDeltaEvent: @@ -174,6 +183,7 @@ class RealtimeModelRawServerEvent: RealtimeModelAudioEvent, RealtimeModelAudioInterruptedEvent, RealtimeModelAudioDoneEvent, + RealtimeModelInputAudioTimeoutTriggeredEvent, RealtimeModelInputAudioTranscriptionCompletedEvent, RealtimeModelTranscriptDeltaEvent, RealtimeModelItemUpdatedEvent, diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index bbeda20f1..b483308d3 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -6,7 +6,7 @@ import json import os from datetime import datetime -from typing import Any, Callable, Literal +from typing import Annotated, Any, Callable, Literal, Union import pydantic import websockets @@ -52,7 +52,7 @@ SessionTracingTracingConfiguration as OpenAISessionTracingConfiguration, SessionUpdateEvent as OpenAISessionUpdateEvent, ) -from pydantic import TypeAdapter +from pydantic import BaseModel, Field, TypeAdapter from typing_extensions import assert_never from websockets.asyncio.client import ClientConnection @@ -83,6 +83,7 @@ RealtimeModelErrorEvent, RealtimeModelEvent, RealtimeModelExceptionEvent, + RealtimeModelInputAudioTimeoutTriggeredEvent, RealtimeModelInputAudioTranscriptionCompletedEvent, RealtimeModelItemDeletedEvent, RealtimeModelItemUpdatedEvent, @@ -128,6 +129,22 @@ async def get_api_key(key: str | Callable[[], MaybeAwaitable[str]] | None) -> st return os.getenv("OPENAI_API_KEY") +class _InputAudioBufferTimeoutTriggeredEvent(BaseModel): + type: Literal["input_audio_buffer.timeout_triggered"] + event_id: str + audio_start_ms: int + audio_end_ms: int + item_id: str + +AllRealtimeServerEvents = Annotated[ + Union[ + OpenAIRealtimeServerEvent, + _InputAudioBufferTimeoutTriggeredEvent, + ], + Field(discriminator="type"), +] + + class OpenAIRealtimeWebSocketModel(RealtimeModel): """A model that uses OpenAI's WebSocket API.""" @@ -462,8 +479,8 @@ async def _handle_ws_event(self, event: dict[str, Any]): try: if "previous_item_id" in event and event["previous_item_id"] is None: event["previous_item_id"] = "" # TODO (rm) remove - parsed: OpenAIRealtimeServerEvent = TypeAdapter( - OpenAIRealtimeServerEvent + parsed: AllRealtimeServerEvents = TypeAdapter( + AllRealtimeServerEvents ).validate_python(event) except pydantic.ValidationError as e: logger.error(f"Failed to validate server event: {event}", exc_info=True) @@ -554,6 +571,12 @@ async def _handle_ws_event(self, event: dict[str, Any]): or parsed.type == "response.output_item.done" ): await self._handle_output_item(parsed.item) + elif parsed.type == "input_audio_buffer.timeout_triggered": + await self._emit_event(RealtimeModelInputAudioTimeoutTriggeredEvent( + item_id=parsed.item_id, + audio_start_ms=parsed.audio_start_ms, + audio_end_ms=parsed.audio_end_ms, + )) def _update_created_session(self, session: OpenAISessionObject) -> None: self._created_session = session diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index 42d61cf2b..c309a2655 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -28,6 +28,7 @@ RealtimeHandoffEvent, RealtimeHistoryAdded, RealtimeHistoryUpdated, + RealtimeInputAudioTimeoutTriggered, RealtimeRawModelEvent, RealtimeSessionEvent, RealtimeToolEnd, @@ -227,6 +228,12 @@ async def on_event(self, event: RealtimeModelEvent) -> None: await self._put_event( RealtimeHistoryUpdated(info=self._event_info, history=self._history) ) + elif event.type == "input_audio_timeout_triggered": + await self._put_event( + RealtimeInputAudioTimeoutTriggered( + info=self._event_info, + ) + ) elif event.type == "transcript_delta": # Accumulate transcript text for guardrail debouncing per item_id item_id = event.item_id From 0857bb08dbe357aba2ad91ae422c21bd7a8c8465 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Thu, 21 Aug 2025 21:08:49 -0400 Subject: [PATCH 333/337] v0.2.9 --- pyproject.toml | 2 +- uv.lock | 4086 ++++++++++++++++++++++++------------------------ 2 files changed, 2047 insertions(+), 2041 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 87fe5e136..7dfea61be 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "openai-agents" -version = "0.2.8" +version = "0.2.9" description = "OpenAI Agents SDK" readme = "README.md" requires-python = ">=3.9" diff --git a/uv.lock b/uv.lock index 72c617a15..787d6f271 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size = 10276, upload-time = "2025-06-08T17:06:38.034Z" }, ] From fe787c4d0548a2e740750c5ab817cc1a0dd601d6 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 22 Aug 2025 15:13:43 -0400 Subject: [PATCH 334/337] Realtime: fix typecheck error --- src/agents/realtime/openai_realtime.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index d98287c71..766c49f8d 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -148,7 +148,7 @@ class _InputAudioBufferTimeoutTriggeredEvent(BaseModel): ServerEventTypeAdapter: TypeAdapter[AllRealtimeServerEvents] | None = None -def get_server_event_type_adapter(): +def get_server_event_type_adapter() -> TypeAdapter[AllRealtimeServerEvents]: global ServerEventTypeAdapter if not ServerEventTypeAdapter: ServerEventTypeAdapter = TypeAdapter(AllRealtimeServerEvents) @@ -490,7 +490,7 @@ async def _handle_ws_event(self, event: dict[str, Any]): try: if "previous_item_id" in event and event["previous_item_id"] is None: event["previous_item_id"] = "" # TODO (rm) remove - parsed: OpenAIRealtimeServerEvent = self._server_event_type_adapter.validate_python( + parsed: AllRealtimeServerEvents = self._server_event_type_adapter.validate_python( event ) except pydantic.ValidationError as e: From e728f9b587d9d8e01d93926acb9417f187da9204 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Thu, 28 Aug 2025 16:09:27 -0400 Subject: [PATCH 335/337] [WIP] Tool guardrails --- src/agents/__init__.py | 16 ++++ src/agents/_run_impl.py | 78 ++++++++++++---- src/agents/tool.py | 7 ++ src/agents/tool_guardrails.py | 163 ++++++++++++++++++++++++++++++++++ tests/test_tool_guardrails.py | 155 ++++++++++++++++++++++++++++++++ 5 files changed, 402 insertions(+), 17 deletions(-) create mode 100644 src/agents/tool_guardrails.py create mode 100644 tests/test_tool_guardrails.py diff --git a/src/agents/__init__.py b/src/agents/__init__.py index 02830bb29..f7f745690 100644 --- a/src/agents/__init__.py +++ b/src/agents/__init__.py @@ -33,6 +33,15 @@ output_guardrail, ) from .handoffs import Handoff, HandoffInputData, HandoffInputFilter, handoff +from .tool_guardrails import ( + ToolGuardrailFunctionOutput, + ToolInputGuardrail, + ToolInputGuardrailData, + ToolOutputGuardrail, + ToolOutputGuardrailData, + tool_input_guardrail, + tool_output_guardrail, +) from .items import ( HandoffCallItem, HandoffOutputItem, @@ -204,6 +213,13 @@ def enable_verbose_stdout_logging(): "GuardrailFunctionOutput", "input_guardrail", "output_guardrail", + "ToolInputGuardrail", + "ToolOutputGuardrail", + "ToolGuardrailFunctionOutput", + "ToolInputGuardrailData", + "ToolOutputGuardrailData", + "tool_input_guardrail", + "tool_output_guardrail", "handoff", "Handoff", "HandoffInputData", diff --git a/src/agents/_run_impl.py b/src/agents/_run_impl.py index 6c417b308..a514c713e 100644 --- a/src/agents/_run_impl.py +++ b/src/agents/_run_impl.py @@ -80,6 +80,10 @@ Tool, ) from .tool_context import ToolContext +from .tool_guardrails import ( + ToolInputGuardrailData, + ToolOutputGuardrailData, +) from .tracing import ( SpanError, Trace, @@ -556,24 +560,64 @@ async def run_single_tool( if config.trace_include_sensitive_data: span_fn.span_data.input = tool_call.arguments try: - _, _, result = await asyncio.gather( - hooks.on_tool_start(tool_context, agent, func_tool), - ( - agent.hooks.on_tool_start(tool_context, agent, func_tool) - if agent.hooks - else _coro.noop_coroutine() - ), - func_tool.on_invoke_tool(tool_context, tool_call.arguments), - ) + # 1) Run input tool guardrails, if any + final_result: Any | None = None + if func_tool.tool_input_guardrails: + for guardrail in func_tool.tool_input_guardrails: + gr_out = await guardrail.run( + ToolInputGuardrailData( + context=tool_context, + agent=agent, + tool_call=tool_call, + ) + ) + if gr_out.tripwire_triggered: + # Use the provided model message as the tool output + final_result = str(gr_out.model_message or "") + break + + if final_result is None: + # 2) Actually run the tool + await asyncio.gather( + hooks.on_tool_start(tool_context, agent, func_tool), + ( + agent.hooks.on_tool_start(tool_context, agent, func_tool) + if agent.hooks + else _coro.noop_coroutine() + ), + ) + real_result = await func_tool.on_invoke_tool( + tool_context, tool_call.arguments + ) - await asyncio.gather( - hooks.on_tool_end(tool_context, agent, func_tool, result), - ( - agent.hooks.on_tool_end(tool_context, agent, func_tool, result) - if agent.hooks - else _coro.noop_coroutine() - ), - ) + # 3) Run output tool guardrails, if any + final_result = real_result + if func_tool.tool_output_guardrails: + for guardrail in func_tool.tool_output_guardrails: + gr_out = await guardrail.run( + ToolOutputGuardrailData( + context=tool_context, + agent=agent, + tool_call=tool_call, + output=real_result, + ) + ) + if gr_out.tripwire_triggered: + final_result = str(gr_out.model_message or "") + break + + # 4) Tool end hooks (with final result, which may have been overridden) + await asyncio.gather( + hooks.on_tool_end(tool_context, agent, func_tool, final_result), + ( + agent.hooks.on_tool_end( + tool_context, agent, func_tool, final_result + ) + if agent.hooks + else _coro.noop_coroutine() + ), + ) + result = final_result except Exception as e: _error_tracing.attach_error_to_current_span( SpanError( diff --git a/src/agents/tool.py b/src/agents/tool.py index 12f43ee76..ba874268b 100644 --- a/src/agents/tool.py +++ b/src/agents/tool.py @@ -93,6 +93,13 @@ class FunctionTool: and returns whether the tool is enabled. You can use this to dynamically enable/disable a tool based on your context/state.""" + # Tool-specific guardrails + tool_input_guardrails: list["ToolInputGuardrail[Any]"] | None = None + """Optional list of input guardrails to run before invoking this tool.""" + + tool_output_guardrails: list["ToolOutputGuardrail[Any]"] | None = None + """Optional list of output guardrails to run after invoking this tool.""" + def __post_init__(self): if self.strict_json_schema: self.params_json_schema = ensure_strict_json_schema(self.params_json_schema) diff --git a/src/agents/tool_guardrails.py b/src/agents/tool_guardrails.py new file mode 100644 index 000000000..ed932065b --- /dev/null +++ b/src/agents/tool_guardrails.py @@ -0,0 +1,163 @@ +from __future__ import annotations + +import inspect +from collections.abc import Awaitable +from dataclasses import dataclass +from typing import Any, Callable, Generic, Optional, overload + +from typing_extensions import TypeVar + +from .agent import Agent +from .tool_context import ToolContext +from .util._types import MaybeAwaitable +from openai.types.responses import ResponseFunctionToolCall + + +@dataclass +class ToolGuardrailFunctionOutput: + """The output of a tool guardrail function. + + - `output_info`: Optional data about checks performed. + - `tripwire_triggered`: Whether the guardrail was tripped. + - `model_message`: Message to send back to the model as the tool output if tripped. + """ + + output_info: Any + tripwire_triggered: bool + model_message: Optional[str] = None + + +@dataclass +class ToolInputGuardrailData: + """Input data passed to a tool input guardrail function.""" + + context: ToolContext[Any] + agent: Agent[Any] + tool_call: ResponseFunctionToolCall + + +@dataclass +class ToolOutputGuardrailData(ToolInputGuardrailData): + """Input data passed to a tool output guardrail function. + + Extends input data with the tool's output. + """ + + output: Any + + +TContext_co = TypeVar("TContext_co", bound=Any, covariant=True) + + +@dataclass +class ToolInputGuardrail(Generic[TContext_co]): + """A guardrail that runs before a function tool is invoked.""" + + guardrail_function: Callable[[ToolInputGuardrailData], MaybeAwaitable[ToolGuardrailFunctionOutput]] + name: str | None = None + + def get_name(self) -> str: + return self.name or self.guardrail_function.__name__ + + async def run( + self, data: ToolInputGuardrailData + ) -> ToolGuardrailFunctionOutput: + result = self.guardrail_function(data) + if inspect.isawaitable(result): + return await result # type: ignore[return-value] + return result # type: ignore[return-value] + + +@dataclass +class ToolOutputGuardrail(Generic[TContext_co]): + """A guardrail that runs after a function tool is invoked.""" + + guardrail_function: Callable[[ToolOutputGuardrailData], MaybeAwaitable[ToolGuardrailFunctionOutput]] + name: str | None = None + + def get_name(self) -> str: + return self.name or self.guardrail_function.__name__ + + async def run( + self, data: ToolOutputGuardrailData + ) -> ToolGuardrailFunctionOutput: + result = self.guardrail_function(data) + if inspect.isawaitable(result): + return await result # type: ignore[return-value] + return result # type: ignore[return-value] + + +# Decorators +_ToolInputFuncSync = Callable[[ToolInputGuardrailData], ToolGuardrailFunctionOutput] +_ToolInputFuncAsync = Callable[[ToolInputGuardrailData], Awaitable[ToolGuardrailFunctionOutput]] + + +@overload +def tool_input_guardrail(func: _ToolInputFuncSync): # type: ignore[overload-overlap] + ... + + +@overload +def tool_input_guardrail(func: _ToolInputFuncAsync): # type: ignore[overload-overlap] + ... + + +@overload +def tool_input_guardrail(*, name: str | None = None) -> Callable[[ + _ToolInputFuncSync | _ToolInputFuncAsync +], ToolInputGuardrail[Any]]: ... + + +def tool_input_guardrail( + func: _ToolInputFuncSync | _ToolInputFuncAsync | None = None, + *, + name: str | None = None, +) -> ToolInputGuardrail[Any] | Callable[[ + _ToolInputFuncSync | _ToolInputFuncAsync +], ToolInputGuardrail[Any]]: + """Decorator to create a ToolInputGuardrail from a function.""" + + def decorator(f: _ToolInputFuncSync | _ToolInputFuncAsync) -> ToolInputGuardrail[Any]: + return ToolInputGuardrail(guardrail_function=f, name=name or f.__name__) + + if func is not None: + return decorator(func) + return decorator + + +_ToolOutputFuncSync = Callable[[ToolOutputGuardrailData], ToolGuardrailFunctionOutput] +_ToolOutputFuncAsync = Callable[[ToolOutputGuardrailData], Awaitable[ToolGuardrailFunctionOutput]] + + +@overload +def tool_output_guardrail(func: _ToolOutputFuncSync): # type: ignore[overload-overlap] + ... + + +@overload +def tool_output_guardrail(func: _ToolOutputFuncAsync): # type: ignore[overload-overlap] + ... + + +@overload +def tool_output_guardrail(*, name: str | None = None) -> Callable[[ + _ToolOutputFuncSync | _ToolOutputFuncAsync +], ToolOutputGuardrail[Any]]: ... + + +def tool_output_guardrail( + func: _ToolOutputFuncSync | _ToolOutputFuncAsync | None = None, + *, + name: str | None = None, +) -> ToolOutputGuardrail[Any] | Callable[[ + _ToolOutputFuncSync | _ToolOutputFuncAsync +], ToolOutputGuardrail[Any]]: + """Decorator to create a ToolOutputGuardrail from a function.""" + + def decorator(f: _ToolOutputFuncSync | _ToolOutputFuncAsync) -> ToolOutputGuardrail[Any]: + return ToolOutputGuardrail(guardrail_function=f, name=name or f.__name__) + + if func is not None: + return decorator(func) + return decorator + diff --git a/tests/test_tool_guardrails.py b/tests/test_tool_guardrails.py new file mode 100644 index 000000000..fa33df270 --- /dev/null +++ b/tests/test_tool_guardrails.py @@ -0,0 +1,155 @@ +from __future__ import annotations + +import json +from typing import Any + +import pytest + +from agents import ( + Agent, + FunctionTool, + RunContextWrapper, + Runner, + ToolGuardrailFunctionOutput, + tool_input_guardrail, + tool_output_guardrail, +) +from agents.tool import function_tool +from agents.items import ToolCallOutputItem + +from .fake_model import FakeModel +from .test_responses import get_function_tool, get_function_tool_call, get_text_message + + +@pytest.mark.asyncio +async def test_tool_input_guardrail_blocks_and_uses_message(): + executed = {"called": False} + + @function_tool(name_override="guarded_tool") + def guarded_tool() -> str: + executed["called"] = True + return "real_result" + + @tool_input_guardrail + def input_gr(data) -> ToolGuardrailFunctionOutput: + # Always block with model message + return ToolGuardrailFunctionOutput( + output_info=None, + tripwire_triggered=True, + model_message="blocked_by_input_guardrail", + ) + + # Attach to FunctionTool + assert isinstance(guarded_tool, FunctionTool) + guarded_tool.tool_input_guardrails = [input_gr] + + model = FakeModel() + agent = Agent(name="test", model=model, tools=[guarded_tool]) + + model.add_multiple_turn_outputs( + [ + [get_function_tool_call("guarded_tool", json.dumps({}))], + [get_text_message("done")], + ] + ) + + result = await Runner.run(agent, input="start") + + # Tool should not run + assert executed["called"] is False + # Tool output item should contain the guardrail model message + tool_outputs = [it for it in result.new_items if isinstance(it, ToolCallOutputItem)] + assert len(tool_outputs) == 1 + # raw_item.output is the string sent to the model + assert tool_outputs[0].raw_item["output"] == "blocked_by_input_guardrail" + assert result.final_output == "done" + + +@pytest.mark.asyncio +async def test_tool_output_guardrail_replaces_result(): + executed = {"called": False} + + @function_tool(name_override="guarded_tool_out") + def guarded_tool_out() -> str: + executed["called"] = True + return "real_output" + + @tool_output_guardrail + def output_gr(data) -> ToolGuardrailFunctionOutput: + # Replace result + return ToolGuardrailFunctionOutput( + output_info=None, + tripwire_triggered=True, + model_message="overridden_by_output_guardrail", + ) + + assert isinstance(guarded_tool_out, FunctionTool) + guarded_tool_out.tool_output_guardrails = [output_gr] + + model = FakeModel() + agent = Agent(name="test", model=model, tools=[guarded_tool_out]) + + model.add_multiple_turn_outputs( + [ + [get_function_tool_call("guarded_tool_out", json.dumps({}))], + [get_text_message("done")], + ] + ) + + result = await Runner.run(agent, input="go") + + assert executed["called"] is True + tool_outputs = [it for it in result.new_items if isinstance(it, ToolCallOutputItem)] + assert len(tool_outputs) == 1 + assert tool_outputs[0].raw_item["output"] == "overridden_by_output_guardrail" + assert result.final_output == "done" + + +@pytest.mark.asyncio +async def test_input_guardrail_takes_precedence_over_output_guardrail(): + executed = {"called": False} + + @function_tool(name_override="both_guarded") + def both_guarded() -> str: + executed["called"] = True + return "should_not_matter" + + @tool_input_guardrail + def input_gr(data) -> ToolGuardrailFunctionOutput: + return ToolGuardrailFunctionOutput( + output_info=None, + tripwire_triggered=True, + model_message="input_wins", + ) + + @tool_output_guardrail + def output_gr(data) -> ToolGuardrailFunctionOutput: + return ToolGuardrailFunctionOutput( + output_info=None, + tripwire_triggered=True, + model_message="output_would_win_if_reached", + ) + + assert isinstance(both_guarded, FunctionTool) + both_guarded.tool_input_guardrails = [input_gr] + both_guarded.tool_output_guardrails = [output_gr] + + model = FakeModel() + agent = Agent(name="test", model=model, tools=[both_guarded]) + + model.add_multiple_turn_outputs( + [ + [get_function_tool_call("both_guarded", json.dumps({}))], + [get_text_message("done")], + ] + ) + + result = await Runner.run(agent, input="go") + + # Input guardrail should prevent tool from running + assert executed["called"] is False + tool_outputs = [it for it in result.new_items if isinstance(it, ToolCallOutputItem)] + assert len(tool_outputs) == 1 + assert tool_outputs[0].raw_item["output"] == "input_wins" + assert result.final_output == "done" + From 1c9c101c6d4ab736d949bff96b9f23a0dcf0dcbe Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Thu, 28 Aug 2025 16:09:39 -0400 Subject: [PATCH 336/337] [WIP] Tool guardrails --- src/agents/__init__.py | 16 ++++ src/agents/_run_impl.py | 78 ++++++++++++---- src/agents/tool.py | 7 ++ src/agents/tool_guardrails.py | 163 ++++++++++++++++++++++++++++++++++ tests/test_tool_guardrails.py | 155 ++++++++++++++++++++++++++++++++ 5 files changed, 402 insertions(+), 17 deletions(-) create mode 100644 src/agents/tool_guardrails.py create mode 100644 tests/test_tool_guardrails.py diff --git a/src/agents/__init__.py b/src/agents/__init__.py index 02830bb29..f7f745690 100644 --- a/src/agents/__init__.py +++ b/src/agents/__init__.py @@ -33,6 +33,15 @@ output_guardrail, ) from .handoffs import Handoff, HandoffInputData, HandoffInputFilter, handoff +from .tool_guardrails import ( + ToolGuardrailFunctionOutput, + ToolInputGuardrail, + ToolInputGuardrailData, + ToolOutputGuardrail, + ToolOutputGuardrailData, + tool_input_guardrail, + tool_output_guardrail, +) from .items import ( HandoffCallItem, HandoffOutputItem, @@ -204,6 +213,13 @@ def enable_verbose_stdout_logging(): "GuardrailFunctionOutput", "input_guardrail", "output_guardrail", + "ToolInputGuardrail", + "ToolOutputGuardrail", + "ToolGuardrailFunctionOutput", + "ToolInputGuardrailData", + "ToolOutputGuardrailData", + "tool_input_guardrail", + "tool_output_guardrail", "handoff", "Handoff", "HandoffInputData", diff --git a/src/agents/_run_impl.py b/src/agents/_run_impl.py index 6c417b308..a514c713e 100644 --- a/src/agents/_run_impl.py +++ b/src/agents/_run_impl.py @@ -80,6 +80,10 @@ Tool, ) from .tool_context import ToolContext +from .tool_guardrails import ( + ToolInputGuardrailData, + ToolOutputGuardrailData, +) from .tracing import ( SpanError, Trace, @@ -556,24 +560,64 @@ async def run_single_tool( if config.trace_include_sensitive_data: span_fn.span_data.input = tool_call.arguments try: - _, _, result = await asyncio.gather( - hooks.on_tool_start(tool_context, agent, func_tool), - ( - agent.hooks.on_tool_start(tool_context, agent, func_tool) - if agent.hooks - else _coro.noop_coroutine() - ), - func_tool.on_invoke_tool(tool_context, tool_call.arguments), - ) + # 1) Run input tool guardrails, if any + final_result: Any | None = None + if func_tool.tool_input_guardrails: + for guardrail in func_tool.tool_input_guardrails: + gr_out = await guardrail.run( + ToolInputGuardrailData( + context=tool_context, + agent=agent, + tool_call=tool_call, + ) + ) + if gr_out.tripwire_triggered: + # Use the provided model message as the tool output + final_result = str(gr_out.model_message or "") + break + + if final_result is None: + # 2) Actually run the tool + await asyncio.gather( + hooks.on_tool_start(tool_context, agent, func_tool), + ( + agent.hooks.on_tool_start(tool_context, agent, func_tool) + if agent.hooks + else _coro.noop_coroutine() + ), + ) + real_result = await func_tool.on_invoke_tool( + tool_context, tool_call.arguments + ) - await asyncio.gather( - hooks.on_tool_end(tool_context, agent, func_tool, result), - ( - agent.hooks.on_tool_end(tool_context, agent, func_tool, result) - if agent.hooks - else _coro.noop_coroutine() - ), - ) + # 3) Run output tool guardrails, if any + final_result = real_result + if func_tool.tool_output_guardrails: + for guardrail in func_tool.tool_output_guardrails: + gr_out = await guardrail.run( + ToolOutputGuardrailData( + context=tool_context, + agent=agent, + tool_call=tool_call, + output=real_result, + ) + ) + if gr_out.tripwire_triggered: + final_result = str(gr_out.model_message or "") + break + + # 4) Tool end hooks (with final result, which may have been overridden) + await asyncio.gather( + hooks.on_tool_end(tool_context, agent, func_tool, final_result), + ( + agent.hooks.on_tool_end( + tool_context, agent, func_tool, final_result + ) + if agent.hooks + else _coro.noop_coroutine() + ), + ) + result = final_result except Exception as e: _error_tracing.attach_error_to_current_span( SpanError( diff --git a/src/agents/tool.py b/src/agents/tool.py index 12f43ee76..ba874268b 100644 --- a/src/agents/tool.py +++ b/src/agents/tool.py @@ -93,6 +93,13 @@ class FunctionTool: and returns whether the tool is enabled. You can use this to dynamically enable/disable a tool based on your context/state.""" + # Tool-specific guardrails + tool_input_guardrails: list["ToolInputGuardrail[Any]"] | None = None + """Optional list of input guardrails to run before invoking this tool.""" + + tool_output_guardrails: list["ToolOutputGuardrail[Any]"] | None = None + """Optional list of output guardrails to run after invoking this tool.""" + def __post_init__(self): if self.strict_json_schema: self.params_json_schema = ensure_strict_json_schema(self.params_json_schema) diff --git a/src/agents/tool_guardrails.py b/src/agents/tool_guardrails.py new file mode 100644 index 000000000..ed932065b --- /dev/null +++ b/src/agents/tool_guardrails.py @@ -0,0 +1,163 @@ +from __future__ import annotations + +import inspect +from collections.abc import Awaitable +from dataclasses import dataclass +from typing import Any, Callable, Generic, Optional, overload + +from typing_extensions import TypeVar + +from .agent import Agent +from .tool_context import ToolContext +from .util._types import MaybeAwaitable +from openai.types.responses import ResponseFunctionToolCall + + +@dataclass +class ToolGuardrailFunctionOutput: + """The output of a tool guardrail function. + + - `output_info`: Optional data about checks performed. + - `tripwire_triggered`: Whether the guardrail was tripped. + - `model_message`: Message to send back to the model as the tool output if tripped. + """ + + output_info: Any + tripwire_triggered: bool + model_message: Optional[str] = None + + +@dataclass +class ToolInputGuardrailData: + """Input data passed to a tool input guardrail function.""" + + context: ToolContext[Any] + agent: Agent[Any] + tool_call: ResponseFunctionToolCall + + +@dataclass +class ToolOutputGuardrailData(ToolInputGuardrailData): + """Input data passed to a tool output guardrail function. + + Extends input data with the tool's output. + """ + + output: Any + + +TContext_co = TypeVar("TContext_co", bound=Any, covariant=True) + + +@dataclass +class ToolInputGuardrail(Generic[TContext_co]): + """A guardrail that runs before a function tool is invoked.""" + + guardrail_function: Callable[[ToolInputGuardrailData], MaybeAwaitable[ToolGuardrailFunctionOutput]] + name: str | None = None + + def get_name(self) -> str: + return self.name or self.guardrail_function.__name__ + + async def run( + self, data: ToolInputGuardrailData + ) -> ToolGuardrailFunctionOutput: + result = self.guardrail_function(data) + if inspect.isawaitable(result): + return await result # type: ignore[return-value] + return result # type: ignore[return-value] + + +@dataclass +class ToolOutputGuardrail(Generic[TContext_co]): + """A guardrail that runs after a function tool is invoked.""" + + guardrail_function: Callable[[ToolOutputGuardrailData], MaybeAwaitable[ToolGuardrailFunctionOutput]] + name: str | None = None + + def get_name(self) -> str: + return self.name or self.guardrail_function.__name__ + + async def run( + self, data: ToolOutputGuardrailData + ) -> ToolGuardrailFunctionOutput: + result = self.guardrail_function(data) + if inspect.isawaitable(result): + return await result # type: ignore[return-value] + return result # type: ignore[return-value] + + +# Decorators +_ToolInputFuncSync = Callable[[ToolInputGuardrailData], ToolGuardrailFunctionOutput] +_ToolInputFuncAsync = Callable[[ToolInputGuardrailData], Awaitable[ToolGuardrailFunctionOutput]] + + +@overload +def tool_input_guardrail(func: _ToolInputFuncSync): # type: ignore[overload-overlap] + ... + + +@overload +def tool_input_guardrail(func: _ToolInputFuncAsync): # type: ignore[overload-overlap] + ... + + +@overload +def tool_input_guardrail(*, name: str | None = None) -> Callable[[ + _ToolInputFuncSync | _ToolInputFuncAsync +], ToolInputGuardrail[Any]]: ... + + +def tool_input_guardrail( + func: _ToolInputFuncSync | _ToolInputFuncAsync | None = None, + *, + name: str | None = None, +) -> ToolInputGuardrail[Any] | Callable[[ + _ToolInputFuncSync | _ToolInputFuncAsync +], ToolInputGuardrail[Any]]: + """Decorator to create a ToolInputGuardrail from a function.""" + + def decorator(f: _ToolInputFuncSync | _ToolInputFuncAsync) -> ToolInputGuardrail[Any]: + return ToolInputGuardrail(guardrail_function=f, name=name or f.__name__) + + if func is not None: + return decorator(func) + return decorator + + +_ToolOutputFuncSync = Callable[[ToolOutputGuardrailData], ToolGuardrailFunctionOutput] +_ToolOutputFuncAsync = Callable[[ToolOutputGuardrailData], Awaitable[ToolGuardrailFunctionOutput]] + + +@overload +def tool_output_guardrail(func: _ToolOutputFuncSync): # type: ignore[overload-overlap] + ... + + +@overload +def tool_output_guardrail(func: _ToolOutputFuncAsync): # type: ignore[overload-overlap] + ... + + +@overload +def tool_output_guardrail(*, name: str | None = None) -> Callable[[ + _ToolOutputFuncSync | _ToolOutputFuncAsync +], ToolOutputGuardrail[Any]]: ... + + +def tool_output_guardrail( + func: _ToolOutputFuncSync | _ToolOutputFuncAsync | None = None, + *, + name: str | None = None, +) -> ToolOutputGuardrail[Any] | Callable[[ + _ToolOutputFuncSync | _ToolOutputFuncAsync +], ToolOutputGuardrail[Any]]: + """Decorator to create a ToolOutputGuardrail from a function.""" + + def decorator(f: _ToolOutputFuncSync | _ToolOutputFuncAsync) -> ToolOutputGuardrail[Any]: + return ToolOutputGuardrail(guardrail_function=f, name=name or f.__name__) + + if func is not None: + return decorator(func) + return decorator + diff --git a/tests/test_tool_guardrails.py b/tests/test_tool_guardrails.py new file mode 100644 index 000000000..fa33df270 --- /dev/null +++ b/tests/test_tool_guardrails.py @@ -0,0 +1,155 @@ +from __future__ import annotations + +import json +from typing import Any + +import pytest + +from agents import ( + Agent, + FunctionTool, + RunContextWrapper, + Runner, + ToolGuardrailFunctionOutput, + tool_input_guardrail, + tool_output_guardrail, +) +from agents.tool import function_tool +from agents.items import ToolCallOutputItem + +from .fake_model import FakeModel +from .test_responses import get_function_tool, get_function_tool_call, get_text_message + + +@pytest.mark.asyncio +async def test_tool_input_guardrail_blocks_and_uses_message(): + executed = {"called": False} + + @function_tool(name_override="guarded_tool") + def guarded_tool() -> str: + executed["called"] = True + return "real_result" + + @tool_input_guardrail + def input_gr(data) -> ToolGuardrailFunctionOutput: + # Always block with model message + return ToolGuardrailFunctionOutput( + output_info=None, + tripwire_triggered=True, + model_message="blocked_by_input_guardrail", + ) + + # Attach to FunctionTool + assert isinstance(guarded_tool, FunctionTool) + guarded_tool.tool_input_guardrails = [input_gr] + + model = FakeModel() + agent = Agent(name="test", model=model, tools=[guarded_tool]) + + model.add_multiple_turn_outputs( + [ + [get_function_tool_call("guarded_tool", json.dumps({}))], + [get_text_message("done")], + ] + ) + + result = await Runner.run(agent, input="start") + + # Tool should not run + assert executed["called"] is False + # Tool output item should contain the guardrail model message + tool_outputs = [it for it in result.new_items if isinstance(it, ToolCallOutputItem)] + assert len(tool_outputs) == 1 + # raw_item.output is the string sent to the model + assert tool_outputs[0].raw_item["output"] == "blocked_by_input_guardrail" + assert result.final_output == "done" + + +@pytest.mark.asyncio +async def test_tool_output_guardrail_replaces_result(): + executed = {"called": False} + + @function_tool(name_override="guarded_tool_out") + def guarded_tool_out() -> str: + executed["called"] = True + return "real_output" + + @tool_output_guardrail + def output_gr(data) -> ToolGuardrailFunctionOutput: + # Replace result + return ToolGuardrailFunctionOutput( + output_info=None, + tripwire_triggered=True, + model_message="overridden_by_output_guardrail", + ) + + assert isinstance(guarded_tool_out, FunctionTool) + guarded_tool_out.tool_output_guardrails = [output_gr] + + model = FakeModel() + agent = Agent(name="test", model=model, tools=[guarded_tool_out]) + + model.add_multiple_turn_outputs( + [ + [get_function_tool_call("guarded_tool_out", json.dumps({}))], + [get_text_message("done")], + ] + ) + + result = await Runner.run(agent, input="go") + + assert executed["called"] is True + tool_outputs = [it for it in result.new_items if isinstance(it, ToolCallOutputItem)] + assert len(tool_outputs) == 1 + assert tool_outputs[0].raw_item["output"] == "overridden_by_output_guardrail" + assert result.final_output == "done" + + +@pytest.mark.asyncio +async def test_input_guardrail_takes_precedence_over_output_guardrail(): + executed = {"called": False} + + @function_tool(name_override="both_guarded") + def both_guarded() -> str: + executed["called"] = True + return "should_not_matter" + + @tool_input_guardrail + def input_gr(data) -> ToolGuardrailFunctionOutput: + return ToolGuardrailFunctionOutput( + output_info=None, + tripwire_triggered=True, + model_message="input_wins", + ) + + @tool_output_guardrail + def output_gr(data) -> ToolGuardrailFunctionOutput: + return ToolGuardrailFunctionOutput( + output_info=None, + tripwire_triggered=True, + model_message="output_would_win_if_reached", + ) + + assert isinstance(both_guarded, FunctionTool) + both_guarded.tool_input_guardrails = [input_gr] + both_guarded.tool_output_guardrails = [output_gr] + + model = FakeModel() + agent = Agent(name="test", model=model, tools=[both_guarded]) + + model.add_multiple_turn_outputs( + [ + [get_function_tool_call("both_guarded", json.dumps({}))], + [get_text_message("done")], + ] + ) + + result = await Runner.run(agent, input="go") + + # Input guardrail should prevent tool from running + assert executed["called"] is False + tool_outputs = [it for it in result.new_items if isinstance(it, ToolCallOutputItem)] + assert len(tool_outputs) == 1 + assert tool_outputs[0].raw_item["output"] == "input_wins" + assert result.final_output == "done" + From 8aa11b379ceb0f4644fab7bf321831df6a9e2cff Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Thu, 28 Aug 2025 20:59:10 -0400 Subject: [PATCH 337/337] v0.2.10 --- pyproject.toml | 2 +- uv.lock | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index fa253a2eb..25d950b34 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "openai-agents" -version = "0.2.9" +version = "0.2.10" description = "OpenAI Agents SDK" readme = "README.md" requires-python = ">=3.9" diff --git a/uv.lock b/uv.lock index 6827baac9..12a50a794 100644 --- a/uv.lock +++ b/uv.lock @@ -1,5 +1,5 @@ version = 1 -revision = 3 +revision = 2 requires-python = ">=3.9" resolution-markers = [ "python_full_version >= '3.11'", @@ -1816,7 +1816,7 @@ wheels = [ [[package]] name = "openai-agents" -version = "0.2.9" +version = "0.2.10" source = { editable = "." } dependencies = [ { name = "griffe" },

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+++++++++++++++++++ src/agents/__init__.py | 3 +- src/agents/_run_impl.py | 6 +- src/agents/agent.py | 11 ++- src/agents/agent_output.py | 66 +++++++++++++-- src/agents/extensions/models/litellm_model.py | 12 +-- src/agents/models/chatcmpl_converter.py | 6 +- src/agents/models/interface.py | 6 +- src/agents/models/openai_chatcompletions.py | 12 +-- src/agents/models/openai_responses.py | 16 ++-- src/agents/result.py | 4 +- src/agents/run.py | 14 ++-- tests/fake_model.py | 6 +- tests/test_agent_config.py | 5 +- .../test_openai_chatcompletions_converter.py | 2 +- tests/test_openai_responses_converter.py | 2 +- tests/test_output_tool.py | 59 +++++++++++++- tests/voice/test_workflow.py | 6 +- 18 files changed, 256 insertions(+), 61 deletions(-) create mode 100644 examples/basic/non_strict_output_type.py diff --git a/examples/basic/non_strict_output_type.py b/examples/basic/non_strict_output_type.py new file mode 100644 index 000000000..49fcc4e2c --- /dev/null +++ b/examples/basic/non_strict_output_type.py @@ -0,0 +1,81 @@ +import asyncio +import json +from dataclasses import dataclass +from typing import Any + +from agents import Agent, AgentOutputSchema, AgentOutputSchemaBase, Runner + +"""This example demonstrates how to use an output type that is not in strict mode. Strict mode +allows us to guarantee valid JSON output, but some schemas are not strict-compatible. + +In this example, we define an output type that is not strict-compatible, and then we run the +agent with strict_json_schema=False. + +We also demonstrate a custom output type. + +To understand which schemas are strict-compatible, see: +https://platform.openai.com/docs/guides/structured-outputs?api-mode=responses#supported-schemas +""" + + +@dataclass +class OutputType: + jokes: dict[int, str] + """A list of jokes, indexed by joke number.""" + + +class CustomOutputSchema(AgentOutputSchemaBase): + """A demonstration of a custom output schema.""" + + def is_plain_text(self) -> bool: + return False + + def name(self) -> str: + return "CustomOutputSchema" + + def json_schema(self) -> dict[str, Any]: + return { + "type": "object", + "properties": {"jokes": {"type": "object", "properties": {"joke": {"type": "string"}}}}, + } + + def is_strict_json_schema(self) -> bool: + return False + + def validate_json(self, json_str: str) -> Any: + json_obj = json.loads(json_str) + # Just for demonstration, we'll return a list. + return list(json_obj["jokes"].values()) + + +async def main(): + agent = Agent( + name="Assistant", + instructions="You are a helpful assistant.", + output_type=OutputType, + ) + + input = "Tell me 3 short jokes." + + # First, let's try with a strict output type. This should raise an exception. + try: + result = await Runner.run(agent, input) + raise AssertionError("Should have raised an exception") + except Exception as e: + print(f"Error (expected): {e}") + + # Now let's try again with a non-strict output type. This should work. + # In some cases, it will raise an error - the schema isn't strict, so the model may + # produce an invalid JSON object. + agent.output_type = AgentOutputSchema(OutputType, strict_json_schema=False) + result = await Runner.run(agent, input) + print(result.final_output) + + # Finally, let's try a custom output type. + agent.output_type = CustomOutputSchema() + result = await Runner.run(agent, input) + print(result.final_output) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/src/agents/__init__.py b/src/agents/__init__.py index db7d312e4..6d7c90b4f 100644 --- a/src/agents/__init__.py +++ b/src/agents/__init__.py @@ -6,7 +6,7 @@ from . import _config from .agent import Agent, ToolsToFinalOutputFunction, ToolsToFinalOutputResult -from .agent_output import AgentOutputSchema +from .agent_output import AgentOutputSchema, AgentOutputSchemaBase from .computer import AsyncComputer, Button, Computer, Environment from .exceptions import ( AgentsException, @@ -158,6 +158,7 @@ def enable_verbose_stdout_logging(): "OpenAIProvider", "OpenAIResponsesModel", "AgentOutputSchema", + "AgentOutputSchemaBase", "Computer", "AsyncComputer", "Environment", diff --git a/src/agents/_run_impl.py b/src/agents/_run_impl.py index 94c181b7f..b5a83685c 100644 --- a/src/agents/_run_impl.py +++ b/src/agents/_run_impl.py @@ -29,7 +29,7 @@ from openai.types.responses.response_reasoning_item import ResponseReasoningItem from .agent import Agent, ToolsToFinalOutputResult -from .agent_output import AgentOutputSchema +from .agent_output import AgentOutputSchemaBase from .computer import AsyncComputer, Computer from .exceptions import AgentsException, ModelBehaviorError, UserError from .guardrail import InputGuardrail, InputGuardrailResult, OutputGuardrail, OutputGuardrailResult @@ -195,7 +195,7 @@ async def execute_tools_and_side_effects( pre_step_items: list[RunItem], new_response: ModelResponse, processed_response: ProcessedResponse, - output_schema: AgentOutputSchema | None, + output_schema: AgentOutputSchemaBase | None, hooks: RunHooks[TContext], context_wrapper: RunContextWrapper[TContext], run_config: RunConfig, @@ -335,7 +335,7 @@ def process_model_response( agent: Agent[Any], all_tools: list[Tool], response: ModelResponse, - output_schema: AgentOutputSchema | None, + output_schema: AgentOutputSchemaBase | None, handoffs: list[Handoff], ) -> ProcessedResponse: items: list[RunItem] = [] diff --git a/src/agents/agent.py b/src/agents/agent.py index a24456b06..e22f579fa 100644 --- a/src/agents/agent.py +++ b/src/agents/agent.py @@ -8,6 +8,7 @@ from typing_extensions import NotRequired, TypeAlias, TypedDict +from .agent_output import AgentOutputSchemaBase from .guardrail import InputGuardrail, OutputGuardrail from .handoffs import Handoff from .items import ItemHelpers @@ -141,8 +142,14 @@ class Agent(Generic[TContext]): Runs only if the agent produces a final output. """ - output_type: type[Any] | None = None - """The type of the output object. If not provided, the output will be `str`.""" + output_type: type[Any] | AgentOutputSchemaBase | None = None + """The type of the output object. If not provided, the output will be `str`. In most cases, + you should pass a regular Python type (e.g. a dataclass, Pydantic model, TypedDict, etc). + You can customize this in two ways: + 1. If you want non-strict schemas, pass `AgentOutputSchema(MyClass, strict_json_schema=False)`. + 2. If you want to use a custom JSON schema (i.e. without using the SDK's automatic schema) + creation, subclass and pass an `AgentOutputSchemaBase` subclass. + """ hooks: AgentHooks[TContext] | None = None """A class that receives callbacks on various lifecycle events for this agent. diff --git a/src/agents/agent_output.py b/src/agents/agent_output.py index 3262c57d6..066bbd835 100644 --- a/src/agents/agent_output.py +++ b/src/agents/agent_output.py @@ -1,3 +1,4 @@ +import abc from dataclasses import dataclass from typing import Any @@ -12,8 +13,46 @@ _WRAPPER_DICT_KEY = "response" +class AgentOutputSchemaBase(abc.ABC): + """An object that captures the JSON schema of the output, as well as validating/parsing JSON + produced by the LLM into the output type. + """ + + @abc.abstractmethod + def is_plain_text(self) -> bool: + """Whether the output type is plain text (versus a JSON object).""" + pass + + @abc.abstractmethod + def name(self) -> str: + """The name of the output type.""" + pass + + @abc.abstractmethod + def json_schema(self) -> dict[str, Any]: + """Returns the JSON schema of the output. Will only be called if the output type is not + plain text. + """ + pass + + @abc.abstractmethod + def is_strict_json_schema(self) -> bool: + """Whether the JSON schema is in strict mode. Strict mode constrains the JSON schema + features, but guarantees valis JSON. See here for details: + https://platform.openai.com/docs/guides/structured-outputs#supported-schemas + """ + pass + + @abc.abstractmethod + def validate_json(self, json_str: str) -> Any: + """Validate a JSON string against the output type. You must return the validated object, + or raise a `ModelBehaviorError` if the JSON is invalid. + """ + pass + + @dataclass(init=False) -class AgentOutputSchema: +class AgentOutputSchema(AgentOutputSchemaBase): """An object that captures the JSON schema of the output, as well as validating/parsing JSON produced by the LLM into the output type. """ @@ -32,7 +71,7 @@ class AgentOutputSchema: _output_schema: dict[str, Any] """The JSON schema of the output.""" - strict_json_schema: bool + _strict_json_schema: bool """Whether the JSON schema is in strict mode. We **strongly** recommend setting this to True, as it increases the likelihood of correct JSON input. """ @@ -45,7 +84,7 @@ def __init__(self, output_type: type[Any], strict_json_schema: bool = True): setting this to True, as it increases the likelihood of correct JSON input. """ self.output_type = output_type - self.strict_json_schema = strict_json_schema + self._strict_json_schema = strict_json_schema if output_type is None or output_type is str: self._is_wrapped = False @@ -70,24 +109,35 @@ def __init__(self, output_type: type[Any], strict_json_schema: bool = True): self._type_adapter = TypeAdapter(output_type) self._output_schema = self._type_adapter.json_schema() - if self.strict_json_schema: - self._output_schema = ensure_strict_json_schema(self._output_schema) + if self._strict_json_schema: + try: + self._output_schema = ensure_strict_json_schema(self._output_schema) + except UserError as e: + raise UserError( + "Strict JSON schema is enabled, but the output type is not valid. " + "Either make the output type strict, or pass output_schema_strict=False to " + "your Agent()" + ) from e def is_plain_text(self) -> bool: """Whether the output type is plain text (versus a JSON object).""" return self.output_type is None or self.output_type is str + def is_strict_json_schema(self) -> bool: + """Whether the JSON schema is in strict mode.""" + return self._strict_json_schema + def json_schema(self) -> dict[str, Any]: """The JSON schema of the output type.""" if self.is_plain_text(): raise UserError("Output type is plain text, so no JSON schema is available") return self._output_schema - def validate_json(self, json_str: str, partial: bool = False) -> Any: + def validate_json(self, json_str: str) -> Any: """Validate a JSON string against the output type. Returns the validated object, or raises a `ModelBehaviorError` if the JSON is invalid. """ - validated = _json.validate_json(json_str, self._type_adapter, partial) + validated = _json.validate_json(json_str, self._type_adapter, partial=False) if self._is_wrapped: if not isinstance(validated, dict): _error_tracing.attach_error_to_current_span( @@ -113,7 +163,7 @@ def validate_json(self, json_str: str, partial: bool = False) -> Any: return validated[_WRAPPER_DICT_KEY] return validated - def output_type_name(self) -> str: + def name(self) -> str: """The name of the output type.""" return _type_to_str(self.output_type) diff --git a/src/agents/extensions/models/litellm_model.py b/src/agents/extensions/models/litellm_model.py index 0fc277c35..e939ee8da 100644 --- a/src/agents/extensions/models/litellm_model.py +++ b/src/agents/extensions/models/litellm_model.py @@ -29,7 +29,7 @@ from openai.types.responses import Response from ... import _debug -from ...agent_output import AgentOutputSchema +from ...agent_output import AgentOutputSchemaBase from ...handoffs import Handoff from ...items import ModelResponse, TResponseInputItem, TResponseStreamEvent from ...logger import logger @@ -68,7 +68,7 @@ async def get_response( input: str | list[TResponseInputItem], model_settings: ModelSettings, tools: list[Tool], - output_schema: AgentOutputSchema | None, + output_schema: AgentOutputSchemaBase | None, handoffs: list[Handoff], tracing: ModelTracing, previous_response_id: str | None, @@ -139,7 +139,7 @@ async def stream_response( input: str | list[TResponseInputItem], model_settings: ModelSettings, tools: list[Tool], - output_schema: AgentOutputSchema | None, + output_schema: AgentOutputSchemaBase | None, handoffs: list[Handoff], tracing: ModelTracing, *, @@ -186,7 +186,7 @@ async def _fetch_response( input: str | list[TResponseInputItem], model_settings: ModelSettings, tools: list[Tool], - output_schema: AgentOutputSchema | None, + output_schema: AgentOutputSchemaBase | None, handoffs: list[Handoff], span: Span[GenerationSpanData], tracing: ModelTracing, @@ -200,7 +200,7 @@ async def _fetch_response( input: str | list[TResponseInputItem], model_settings: ModelSettings, tools: list[Tool], - output_schema: AgentOutputSchema | None, + output_schema: AgentOutputSchemaBase | None, handoffs: list[Handoff], span: Span[GenerationSpanData], tracing: ModelTracing, @@ -213,7 +213,7 @@ async def _fetch_response( input: str | list[TResponseInputItem], model_settings: ModelSettings, tools: list[Tool], - output_schema: AgentOutputSchema | None, + output_schema: AgentOutputSchemaBase | None, handoffs: list[Handoff], span: Span[GenerationSpanData], tracing: ModelTracing, diff --git a/src/agents/models/chatcmpl_converter.py b/src/agents/models/chatcmpl_converter.py index 00175a16a..613a37453 100644 --- a/src/agents/models/chatcmpl_converter.py +++ b/src/agents/models/chatcmpl_converter.py @@ -36,7 +36,7 @@ ) from openai.types.responses.response_input_param import FunctionCallOutput, ItemReference, Message -from ..agent_output import AgentOutputSchema +from ..agent_output import AgentOutputSchemaBase from ..exceptions import AgentsException, UserError from ..handoffs import Handoff from ..items import TResponseInputItem, TResponseOutputItem @@ -67,7 +67,7 @@ def convert_tool_choice( @classmethod def convert_response_format( - cls, final_output_schema: AgentOutputSchema | None + cls, final_output_schema: AgentOutputSchemaBase | None ) -> ResponseFormat | NotGiven: if not final_output_schema or final_output_schema.is_plain_text(): return NOT_GIVEN @@ -76,7 +76,7 @@ def convert_response_format( "type": "json_schema", "json_schema": { "name": "final_output", - "strict": final_output_schema.strict_json_schema, + "strict": final_output_schema.is_strict_json_schema(), "schema": final_output_schema.json_schema(), }, } diff --git a/src/agents/models/interface.py b/src/agents/models/interface.py index bcf2c1a65..3a79e5640 100644 --- a/src/agents/models/interface.py +++ b/src/agents/models/interface.py @@ -5,7 +5,7 @@ from collections.abc import AsyncIterator from typing import TYPE_CHECKING -from ..agent_output import AgentOutputSchema +from ..agent_output import AgentOutputSchemaBase from ..handoffs import Handoff from ..items import ModelResponse, TResponseInputItem, TResponseStreamEvent from ..tool import Tool @@ -41,7 +41,7 @@ async def get_response( input: str | list[TResponseInputItem], model_settings: ModelSettings, tools: list[Tool], - output_schema: AgentOutputSchema | None, + output_schema: AgentOutputSchemaBase | None, handoffs: list[Handoff], tracing: ModelTracing, *, @@ -72,7 +72,7 @@ def stream_response( input: str | list[TResponseInputItem], model_settings: ModelSettings, tools: list[Tool], - output_schema: AgentOutputSchema | None, + output_schema: AgentOutputSchemaBase | None, handoffs: list[Handoff], tracing: ModelTracing, *, diff --git a/src/agents/models/openai_chatcompletions.py b/src/agents/models/openai_chatcompletions.py index 9989c1ee0..9fd102690 100644 --- a/src/agents/models/openai_chatcompletions.py +++ b/src/agents/models/openai_chatcompletions.py @@ -12,7 +12,7 @@ from openai.types.responses import Response from .. import _debug -from ..agent_output import AgentOutputSchema +from ..agent_output import AgentOutputSchemaBase from ..handoffs import Handoff from ..items import ModelResponse, TResponseInputItem, TResponseStreamEvent from ..logger import logger @@ -49,7 +49,7 @@ async def get_response( input: str | list[TResponseInputItem], model_settings: ModelSettings, tools: list[Tool], - output_schema: AgentOutputSchema | None, + output_schema: AgentOutputSchemaBase | None, handoffs: list[Handoff], tracing: ModelTracing, previous_response_id: str | None, @@ -110,7 +110,7 @@ async def stream_response( input: str | list[TResponseInputItem], model_settings: ModelSettings, tools: list[Tool], - output_schema: AgentOutputSchema | None, + output_schema: AgentOutputSchemaBase | None, handoffs: list[Handoff], tracing: ModelTracing, *, @@ -160,7 +160,7 @@ async def _fetch_response( input: str | list[TResponseInputItem], model_settings: ModelSettings, tools: list[Tool], - output_schema: AgentOutputSchema | None, + output_schema: AgentOutputSchemaBase | None, handoffs: list[Handoff], span: Span[GenerationSpanData], tracing: ModelTracing, @@ -174,7 +174,7 @@ async def _fetch_response( input: str | list[TResponseInputItem], model_settings: ModelSettings, tools: list[Tool], - output_schema: AgentOutputSchema | None, + output_schema: AgentOutputSchemaBase | None, handoffs: list[Handoff], span: Span[GenerationSpanData], tracing: ModelTracing, @@ -187,7 +187,7 @@ async def _fetch_response( input: str | list[TResponseInputItem], model_settings: ModelSettings, tools: list[Tool], - output_schema: AgentOutputSchema | None, + output_schema: AgentOutputSchemaBase | None, handoffs: list[Handoff], span: Span[GenerationSpanData], tracing: ModelTracing, diff --git a/src/agents/models/openai_responses.py b/src/agents/models/openai_responses.py index ab4617d46..b751663da 100644 --- a/src/agents/models/openai_responses.py +++ b/src/agents/models/openai_responses.py @@ -18,7 +18,7 @@ ) from .. import _debug -from ..agent_output import AgentOutputSchema +from ..agent_output import AgentOutputSchemaBase from ..exceptions import UserError from ..handoffs import Handoff from ..items import ItemHelpers, ModelResponse, TResponseInputItem @@ -66,7 +66,7 @@ async def get_response( input: str | list[TResponseInputItem], model_settings: ModelSettings, tools: list[Tool], - output_schema: AgentOutputSchema | None, + output_schema: AgentOutputSchemaBase | None, handoffs: list[Handoff], tracing: ModelTracing, previous_response_id: str | None, @@ -131,7 +131,7 @@ async def stream_response( input: str | list[TResponseInputItem], model_settings: ModelSettings, tools: list[Tool], - output_schema: AgentOutputSchema | None, + output_schema: AgentOutputSchemaBase | None, handoffs: list[Handoff], tracing: ModelTracing, previous_response_id: str | None, @@ -182,7 +182,7 @@ async def _fetch_response( input: str | list[TResponseInputItem], model_settings: ModelSettings, tools: list[Tool], - output_schema: AgentOutputSchema | None, + output_schema: AgentOutputSchemaBase | None, handoffs: list[Handoff], previous_response_id: str | None, stream: Literal[True], @@ -195,7 +195,7 @@ async def _fetch_response( input: str | list[TResponseInputItem], model_settings: ModelSettings, tools: list[Tool], - output_schema: AgentOutputSchema | None, + output_schema: AgentOutputSchemaBase | None, handoffs: list[Handoff], previous_response_id: str | None, stream: Literal[False], @@ -207,7 +207,7 @@ async def _fetch_response( input: str | list[TResponseInputItem], model_settings: ModelSettings, tools: list[Tool], - output_schema: AgentOutputSchema | None, + output_schema: AgentOutputSchemaBase | None, handoffs: list[Handoff], previous_response_id: str | None, stream: Literal[True] | Literal[False] = False, @@ -307,7 +307,7 @@ def convert_tool_choice( @classmethod def get_response_format( - cls, output_schema: AgentOutputSchema | None + cls, output_schema: AgentOutputSchemaBase | None ) -> ResponseTextConfigParam | NotGiven: if output_schema is None or output_schema.is_plain_text(): return NOT_GIVEN @@ -317,7 +317,7 @@ def get_response_format( "type": "json_schema", "name": "final_output", "schema": output_schema.json_schema(), - "strict": output_schema.strict_json_schema, + "strict": output_schema.is_strict_json_schema(), } } diff --git a/src/agents/result.py b/src/agents/result.py index a2a6cc4a5..2996eaf91 100644 --- a/src/agents/result.py +++ b/src/agents/result.py @@ -10,7 +10,7 @@ from ._run_impl import QueueCompleteSentinel from .agent import Agent -from .agent_output import AgentOutputSchema +from .agent_output import AgentOutputSchemaBase from .exceptions import InputGuardrailTripwireTriggered, MaxTurnsExceeded from .guardrail import InputGuardrailResult, OutputGuardrailResult from .items import ItemHelpers, ModelResponse, RunItem, TResponseInputItem @@ -124,7 +124,7 @@ class RunResultStreaming(RunResultBase): final_output: Any """The final output of the agent. This is None until the agent has finished running.""" - _current_agent_output_schema: AgentOutputSchema | None = field(repr=False) + _current_agent_output_schema: AgentOutputSchemaBase | None = field(repr=False) _trace: Trace | None = field(repr=False) diff --git a/src/agents/run.py b/src/agents/run.py index e2b0dbceb..1fc7b52f1 100644 --- a/src/agents/run.py +++ b/src/agents/run.py @@ -19,7 +19,7 @@ get_model_tracing_impl, ) from .agent import Agent -from .agent_output import AgentOutputSchema +from .agent_output import AgentOutputSchema, AgentOutputSchemaBase from .exceptions import ( AgentsException, InputGuardrailTripwireTriggered, @@ -185,7 +185,7 @@ async def run( if current_span is None: handoff_names = [h.agent_name for h in cls._get_handoffs(current_agent)] if output_schema := cls._get_output_schema(current_agent): - output_type_name = output_schema.output_type_name() + output_type_name = output_schema.name() else: output_type_name = "str" @@ -517,7 +517,7 @@ async def _run_streamed_impl( if current_span is None: handoff_names = [h.agent_name for h in cls._get_handoffs(current_agent)] if output_schema := cls._get_output_schema(current_agent): - output_type_name = output_schema.output_type_name() + output_type_name = output_schema.name() else: output_type_name = "str" @@ -789,7 +789,7 @@ async def _get_single_step_result_from_response( original_input: str | list[TResponseInputItem], pre_step_items: list[RunItem], new_response: ModelResponse, - output_schema: AgentOutputSchema | None, + output_schema: AgentOutputSchemaBase | None, handoffs: list[Handoff], hooks: RunHooks[TContext], context_wrapper: RunContextWrapper[TContext], @@ -900,7 +900,7 @@ async def _get_new_response( agent: Agent[TContext], system_prompt: str | None, input: list[TResponseInputItem], - output_schema: AgentOutputSchema | None, + output_schema: AgentOutputSchemaBase | None, all_tools: list[Tool], handoffs: list[Handoff], context_wrapper: RunContextWrapper[TContext], @@ -930,9 +930,11 @@ async def _get_new_response( return new_response @classmethod - def _get_output_schema(cls, agent: Agent[Any]) -> AgentOutputSchema | None: + def _get_output_schema(cls, agent: Agent[Any]) -> AgentOutputSchemaBase | None: if agent.output_type is None or agent.output_type is str: return None + elif isinstance(agent.output_type, AgentOutputSchemaBase): + return agent.output_type return AgentOutputSchema(agent.output_type) diff --git a/tests/fake_model.py b/tests/fake_model.py index 52d3a3b2b..c6b3ba924 100644 --- a/tests/fake_model.py +++ b/tests/fake_model.py @@ -5,7 +5,7 @@ from openai.types.responses import Response, ResponseCompletedEvent -from agents.agent_output import AgentOutputSchema +from agents.agent_output import AgentOutputSchemaBase from agents.handoffs import Handoff from agents.items import ( ModelResponse, @@ -51,7 +51,7 @@ async def get_response( input: str | list[TResponseInputItem], model_settings: ModelSettings, tools: list[Tool], - output_schema: AgentOutputSchema | None, + output_schema: AgentOutputSchemaBase | None, handoffs: list[Handoff], tracing: ModelTracing, *, @@ -93,7 +93,7 @@ async def stream_response( input: str | list[TResponseInputItem], model_settings: ModelSettings, tools: list[Tool], - output_schema: AgentOutputSchema | None, + output_schema: AgentOutputSchemaBase | None, handoffs: list[Handoff], tracing: ModelTracing, *, diff --git a/tests/test_agent_config.py b/tests/test_agent_config.py index 44339dad3..f79c0cf8a 100644 --- a/tests/test_agent_config.py +++ b/tests/test_agent_config.py @@ -1,7 +1,7 @@ import pytest from pydantic import BaseModel -from agents import Agent, Handoff, RunContextWrapper, Runner, handoff +from agents import Agent, AgentOutputSchema, Handoff, RunContextWrapper, Runner, handoff @pytest.mark.asyncio @@ -160,8 +160,9 @@ async def test_agent_final_output(): ) schema = Runner._get_output_schema(agent) + assert isinstance(schema, AgentOutputSchema) assert schema is not None assert schema.output_type == Foo - assert schema.strict_json_schema is True + assert schema.is_strict_json_schema() is True assert schema.json_schema() is not None assert not schema.is_plain_text() diff --git a/tests/test_openai_chatcompletions_converter.py b/tests/test_openai_chatcompletions_converter.py index e3a18b255..bcfca5495 100644 --- a/tests/test_openai_chatcompletions_converter.py +++ b/tests/test_openai_chatcompletions_converter.py @@ -232,7 +232,7 @@ def test_convert_response_format_returns_not_given_for_plain_text_and_dict_for_s assert resp_format["type"] == "json_schema" assert resp_format["json_schema"]["name"] == "final_output" assert "strict" in resp_format["json_schema"] - assert resp_format["json_schema"]["strict"] == schema.strict_json_schema + assert resp_format["json_schema"]["strict"] == schema.is_strict_json_schema() assert "schema" in resp_format["json_schema"] assert resp_format["json_schema"]["schema"] == schema.json_schema() diff --git a/tests/test_openai_responses_converter.py b/tests/test_openai_responses_converter.py index 34cbac5c5..8e4866656 100644 --- a/tests/test_openai_responses_converter.py +++ b/tests/test_openai_responses_converter.py @@ -92,7 +92,7 @@ class OutModel(BaseModel): assert inner.get("name") == "final_output" assert isinstance(inner.get("schema"), dict) # Should include a strict flag matching the schema's strictness setting. - assert inner.get("strict") == out_schema.strict_json_schema + assert inner.get("strict") == out_schema.is_strict_json_schema() def test_convert_tools_basic_types_and_includes(): diff --git a/tests/test_output_tool.py b/tests/test_output_tool.py index 86c4b3b5a..37c1b1b67 100644 --- a/tests/test_output_tool.py +++ b/tests/test_output_tool.py @@ -1,10 +1,18 @@ import json +from typing import Any import pytest from pydantic import BaseModel from typing_extensions import TypedDict -from agents import Agent, AgentOutputSchema, ModelBehaviorError, Runner, UserError +from agents import ( + Agent, + AgentOutputSchema, + AgentOutputSchemaBase, + ModelBehaviorError, + Runner, + UserError, +) from agents.agent_output import _WRAPPER_DICT_KEY from agents.util import _json @@ -27,6 +35,7 @@ def test_structured_output_pydantic(): output_schema = Runner._get_output_schema(agent) assert output_schema, "Should have an output tool config with a structured output type" + assert isinstance(output_schema, AgentOutputSchema) assert output_schema.output_type == Foo, "Should have the correct output type" assert not output_schema._is_wrapped, "Pydantic objects should not be wrapped" for key, value in Foo.model_json_schema().items(): @@ -45,6 +54,7 @@ def test_structured_output_typed_dict(): agent = Agent(name="test", output_type=Bar) output_schema = Runner._get_output_schema(agent) assert output_schema, "Should have an output tool config with a structured output type" + assert isinstance(output_schema, AgentOutputSchema) assert output_schema.output_type == Bar, "Should have the correct output type" assert not output_schema._is_wrapped, "TypedDicts should not be wrapped" @@ -57,6 +67,7 @@ def test_structured_output_list(): agent = Agent(name="test", output_type=list[str]) output_schema = Runner._get_output_schema(agent) assert output_schema, "Should have an output tool config with a structured output type" + assert isinstance(output_schema, AgentOutputSchema) assert output_schema.output_type == list[str], "Should have the correct output type" assert output_schema._is_wrapped, "Lists should be wrapped" @@ -98,7 +109,7 @@ def test_plain_text_obj_doesnt_produce_schema(): def test_structured_output_is_strict(): output_wrapper = AgentOutputSchema(output_type=Foo) - assert output_wrapper.strict_json_schema + assert output_wrapper.is_strict_json_schema() for key, value in Foo.model_json_schema().items(): assert output_wrapper.json_schema()[key] == value @@ -110,6 +121,48 @@ def test_structured_output_is_strict(): def test_setting_strict_false_works(): output_wrapper = AgentOutputSchema(output_type=Foo, strict_json_schema=False) - assert not output_wrapper.strict_json_schema + assert not output_wrapper.is_strict_json_schema() assert output_wrapper.json_schema() == Foo.model_json_schema() assert output_wrapper.json_schema() == Foo.model_json_schema() + + +_CUSTOM_OUTPUT_SCHEMA_JSON_SCHEMA = { + "type": "object", + "properties": { + "foo": {"type": "string"}, + }, + "required": ["foo"], +} + + +class CustomOutputSchema(AgentOutputSchemaBase): + def is_plain_text(self) -> bool: + return False + + def name(self) -> str: + return "FooBarBaz" + + def json_schema(self) -> dict[str, Any]: + return _CUSTOM_OUTPUT_SCHEMA_JSON_SCHEMA + + def is_strict_json_schema(self) -> bool: + return False + + def validate_json(self, json_str: str) -> Any: + return ["some", "output"] + + +def test_custom_output_schema(): + custom_output_schema = CustomOutputSchema() + agent = Agent(name="test", output_type=custom_output_schema) + output_schema = Runner._get_output_schema(agent) + + assert output_schema, "Should have an output tool config with a structured output type" + assert isinstance(output_schema, CustomOutputSchema) + assert output_schema.json_schema() == _CUSTOM_OUTPUT_SCHEMA_JSON_SCHEMA + assert not output_schema.is_strict_json_schema() + assert not output_schema.is_plain_text() + + json_str = json.dumps({"foo": "bar"}) + validated = output_schema.validate_json(json_str) + assert validated == ["some", "output"] diff --git a/tests/voice/test_workflow.py b/tests/voice/test_workflow.py index 72a3370d3..2bdf2a657 100644 --- a/tests/voice/test_workflow.py +++ b/tests/voice/test_workflow.py @@ -9,7 +9,7 @@ from openai.types.responses.response_text_delta_event import ResponseTextDeltaEvent from agents import Agent, Model, ModelSettings, ModelTracing, Tool -from agents.agent_output import AgentOutputSchema +from agents.agent_output import AgentOutputSchemaBase from agents.handoffs import Handoff from agents.items import ( ModelResponse, @@ -48,7 +48,7 @@ async def get_response( input: str | list[TResponseInputItem], model_settings: ModelSettings, tools: list[Tool], - output_schema: AgentOutputSchema | None, + output_schema: AgentOutputSchemaBase | None, handoffs: list[Handoff], tracing: ModelTracing, *, @@ -62,7 +62,7 @@ async def stream_response( input: str | list[TResponseInputItem], model_settings: ModelSettings, tools: list[Tool], - output_schema: AgentOutputSchema | None, + output_schema: AgentOutputSchemaBase | None, handoffs: list[Handoff], tracing: ModelTracing, *, From 1c3dad248ae8536732960e4f7b04c1ea3e8ba6d9 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 18 Apr 2025 14:51:39 -0400 Subject: [PATCH 089/337] Start and finish streaming trace in impl metod --- .gitignore | 3 ++- pyproject.toml | 1 + src/agents/result.py | 5 +---- src/agents/run.py | 11 ++++----- tests/fastapi/__init__.py | 0 tests/fastapi/streaming_app.py | 30 +++++++++++++++++++++++++ tests/fastapi/test_streaming_context.py | 29 ++++++++++++++++++++++++ uv.lock | 19 +++++++++++++++- 8 files changed, 87 insertions(+), 11 deletions(-) create mode 100644 tests/fastapi/__init__.py create mode 100644 tests/fastapi/streaming_app.py create mode 100644 tests/fastapi/test_streaming_context.py diff --git a/.gitignore b/.gitignore index 7dd22b88d..2e9b92379 100644 --- a/.gitignore +++ b/.gitignore @@ -141,4 +141,5 @@ cython_debug/ .ruff_cache/ # PyPI configuration file -.pypirc \ No newline at end of file +.pypirc +.aider* diff --git a/pyproject.toml b/pyproject.toml index f94eb8593..c06a8416b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -61,6 +61,7 @@ dev = [ "graphviz", "mkdocs-static-i18n>=1.3.0", "eval-type-backport>=0.2.2", + "fastapi >= 0.110.0, <1", ] [tool.uv.workspace] diff --git a/src/agents/result.py b/src/agents/result.py index a2a6cc4a5..de60298b1 100644 --- a/src/agents/result.py +++ b/src/agents/result.py @@ -126,7 +126,7 @@ class RunResultStreaming(RunResultBase): _current_agent_output_schema: AgentOutputSchema | None = field(repr=False) - _trace: Trace | None = field(repr=False) + trace: Trace | None = field(repr=False) is_complete: bool = False """Whether the agent has finished running.""" @@ -185,9 +185,6 @@ async def stream_events(self) -> AsyncIterator[StreamEvent]: yield item self._event_queue.task_done() - if self._trace: - self._trace.finish(reset_current=True) - self._cleanup_tasks() if self._stored_exception: diff --git a/src/agents/run.py b/src/agents/run.py index e2b0dbceb..6396e5c9f 100644 --- a/src/agents/run.py +++ b/src/agents/run.py @@ -404,10 +404,6 @@ def run_streamed( disabled=run_config.tracing_disabled, ) ) - # Need to start the trace here, because the current trace contextvar is captured at - # asyncio.create_task time - if new_trace: - new_trace.start(mark_as_current=True) output_schema = cls._get_output_schema(starting_agent) context_wrapper: RunContextWrapper[TContext] = RunContextWrapper( @@ -426,7 +422,7 @@ def run_streamed( input_guardrail_results=[], output_guardrail_results=[], _current_agent_output_schema=output_schema, - _trace=new_trace, + trace=new_trace, ) # Kick off the actual agent loop in the background and return the streamed result object. @@ -499,6 +495,9 @@ async def _run_streamed_impl( run_config: RunConfig, previous_response_id: str | None, ): + if streamed_result.trace: + streamed_result.trace.start(mark_as_current=True) + current_span: Span[AgentSpanData] | None = None current_agent = starting_agent current_turn = 0 @@ -625,6 +624,8 @@ async def _run_streamed_impl( finally: if current_span: current_span.finish(reset_current=True) + if streamed_result.trace: + streamed_result.trace.finish(reset_current=True) @classmethod async def _run_single_turn_streamed( diff --git a/tests/fastapi/__init__.py b/tests/fastapi/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/tests/fastapi/streaming_app.py b/tests/fastapi/streaming_app.py new file mode 100644 index 000000000..b93ccf3f3 --- /dev/null +++ b/tests/fastapi/streaming_app.py @@ -0,0 +1,30 @@ +from collections.abc import AsyncIterator + +from fastapi import FastAPI +from starlette.responses import StreamingResponse + +from agents import Agent, Runner, RunResultStreaming + +agent = Agent( + name="Assistant", + instructions="You are a helpful assistant.", +) + + +app = FastAPI() + + +@app.post("/stream") +async def stream(): + result = Runner.run_streamed(agent, input="Tell me a joke") + stream_handler = StreamHandler(result) + return StreamingResponse(stream_handler.stream_events(), media_type="application/x-ndjson") + + +class StreamHandler: + def __init__(self, result: RunResultStreaming): + self.result = result + + async def stream_events(self) -> AsyncIterator[str]: + async for event in self.result.stream_events(): + yield f"{event.type}\n\n" diff --git a/tests/fastapi/test_streaming_context.py b/tests/fastapi/test_streaming_context.py new file mode 100644 index 000000000..ee13045e4 --- /dev/null +++ b/tests/fastapi/test_streaming_context.py @@ -0,0 +1,29 @@ +import pytest +from httpx import ASGITransport, AsyncClient +from inline_snapshot import snapshot + +from ..fake_model import FakeModel +from ..test_responses import get_text_message +from .streaming_app import agent, app + + +@pytest.mark.asyncio +async def test_streaming_context(): + """This ensures that FastAPI streaming works. The context for this test is that the Runner + method was called in one async context, and the streaming was ended in another context, + leading to a tracing error because the context was closed in the wrong context. This test + ensures that this actually works. + """ + model = FakeModel() + agent.model = model + model.set_next_output([get_text_message("done")]) + + transport = ASGITransport(app) + async with AsyncClient(transport=transport, base_url="http://test") as ac: + async with ac.stream("POST", "/stream") as r: + assert r.status_code == 200 + body = (await r.aread()).decode("utf-8") + lines = [line for line in body.splitlines() if line] + assert lines == snapshot( + ["agent_updated_stream_event", "raw_response_event", "run_item_stream_event"] + ) diff --git a/uv.lock b/uv.lock index 24d089a50..3ee65d21a 100644 --- a/uv.lock +++ b/uv.lock @@ -483,6 +483,20 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/7b/8f/c4d9bafc34ad7ad5d8dc16dd1347ee0e507a52c3adb6bfa8887e1c6a26ba/executing-2.2.0-py2.py3-none-any.whl", hash = "sha256:11387150cad388d62750327a53d3339fad4888b39a6fe233c3afbb54ecffd3aa", size = 26702 }, ] +[[package]] +name = "fastapi" +version = "0.115.12" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "pydantic" }, + { name = "starlette" }, + { name = "typing-extensions" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/f4/55/ae499352d82338331ca1e28c7f4a63bfd09479b16395dce38cf50a39e2c2/fastapi-0.115.12.tar.gz", hash = "sha256:1e2c2a2646905f9e83d32f04a3f86aff4a286669c6c950ca95b5fd68c2602681", size = 295236 } +wheels = [ + { url = "https://files.pythonhosted.org/packages/50/b3/b51f09c2ba432a576fe63758bddc81f78f0c6309d9e5c10d194313bf021e/fastapi-0.115.12-py3-none-any.whl", hash = "sha256:e94613d6c05e27be7ffebdd6ea5f388112e5e430c8f7d6494a9d1d88d43e814d", size = 95164 }, +] + [[package]] name = "filelock" version = "3.18.0" @@ -1496,6 +1510,7 @@ voice = [ dev = [ { name = "coverage" }, { name = "eval-type-backport" }, + { name = "fastapi" }, { name = "graphviz" }, { name = "inline-snapshot" }, { name = "mkdocs" }, @@ -1536,6 +1551,7 @@ provides-extras = ["voice", "viz", "litellm"] dev = [ { name = "coverage", specifier = ">=7.6.12" }, { name = "eval-type-backport", specifier = ">=0.2.2" }, + { name = "fastapi", specifier = ">=0.110.0,<1" }, { name = "graphviz" }, { name = "inline-snapshot", specifier = ">=0.20.7" }, { name = "mkdocs", specifier = ">=1.6.0" }, @@ -2474,7 +2490,8 @@ name = "starlette" version = "0.46.2" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "anyio", marker = "python_full_version >= '3.10'" }, + { name = "anyio" }, + { name = "typing-extensions", marker = "python_full_version < '3.10'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/ce/20/08dfcd9c983f6a6f4a1000d934b9e6d626cff8d2eeb77a89a68eef20a2b7/starlette-0.46.2.tar.gz", hash = "sha256:7f7361f34eed179294600af672f565727419830b54b7b084efe44bb82d2fccd5", size = 2580846 } wheels = [ From 5a0c875bfe3b017e356614c82998bc12779d734d Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 21 Apr 2025 15:49:21 -0400 Subject: [PATCH 090/337] Docs and tests for litellm --- README.md | 4 +--- docs/models/index.md | 55 ++++++++++++++++++++++++++++++++------------ 2 files changed, 41 insertions(+), 18 deletions(-) diff --git a/README.md b/README.md index bbd4a5a05..7dcd97b33 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # OpenAI Agents SDK -The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows. +The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows. It is provider-agnostic, supporting the OpenAI Responses and Chat Completions APIs, as well as 100+ other LLMs. Image of the Agents Tracing UI @@ -13,8 +13,6 @@ The OpenAI Agents SDK is a lightweight yet powerful framework for building multi Explore the [examples](examples) directory to see the SDK in action, and read our [documentation](https://openai.github.io/openai-agents-python/) for more details. -Notably, our SDK [is compatible](https://openai.github.io/openai-agents-python/models/) with any model providers that support the OpenAI Chat Completions API format. - ## Get started 1. Set up your Python environment diff --git a/docs/models/index.md b/docs/models/index.md index 4cf4f6439..1c89d778a 100644 --- a/docs/models/index.md +++ b/docs/models/index.md @@ -5,11 +5,40 @@ The Agents SDK comes with out-of-the-box support for OpenAI models in two flavor - **Recommended**: the [`OpenAIResponsesModel`][agents.models.openai_responses.OpenAIResponsesModel], which calls OpenAI APIs using the new [Responses API](https://platform.openai.com/docs/api-reference/responses). - The [`OpenAIChatCompletionsModel`][agents.models.openai_chatcompletions.OpenAIChatCompletionsModel], which calls OpenAI APIs using the [Chat Completions API](https://platform.openai.com/docs/api-reference/chat). +## Non-OpenAI models + +You can use most other non-OpenAI models via the [LiteLLM integration](./litellm.md). First, install the litellm dependency group: + +```bash +pip install "openai-agents[litellm]" +``` + +Then, use any of the [supported models](https://docs.litellm.ai/docs/providers) with the `litellm/` prefix: + +```python +claude_agent = Agent(model="litellm/anthropic/claude-3-5-sonnet-20240620", ...) +gemini_agent = Agent(model="litellm/gemini/gemini-2.5-flash-preview-04-17", ...) +``` + +### Other ways to use non-OpenAI models + +You can integrate other LLM providers in 3 more ways (examples [here](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/)): + +1. [`set_default_openai_client`][agents.set_default_openai_client] is useful in cases where you want to globally use an instance of `AsyncOpenAI` as the LLM client. This is for cases where the LLM provider has an OpenAI compatible API endpoint, and you can set the `base_url` and `api_key`. See a configurable example in [examples/model_providers/custom_example_global.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_global.py). +2. [`ModelProvider`][agents.models.interface.ModelProvider] is at the `Runner.run` level. This lets you say "use a custom model provider for all agents in this run". See a configurable example in [examples/model_providers/custom_example_provider.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_provider.py). +3. [`Agent.model`][agents.agent.Agent.model] lets you specify the model on a specific Agent instance. This enables you to mix and match different providers for different agents. See a configurable example in [examples/model_providers/custom_example_agent.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_agent.py). An easy way to use most available models is via the [LiteLLM integration](./litellm.md). + +In cases where you do not have an API key from `platform.openai.com`, we recommend disabling tracing via `set_tracing_disabled()`, or setting up a [different tracing processor](../tracing.md). + +!!! note + + In these examples, we use the Chat Completions API/model, because most LLM providers don't yet support the Responses API. If your LLM provider does support it, we recommend using Responses. + ## Mixing and matching models Within a single workflow, you may want to use different models for each agent. For example, you could use a smaller, faster model for triage, while using a larger, more capable model for complex tasks. When configuring an [`Agent`][agents.Agent], you can select a specific model by either: -1. Passing the name of an OpenAI model. +1. Passing the name of a model. 2. Passing any model name + a [`ModelProvider`][agents.models.interface.ModelProvider] that can map that name to a Model instance. 3. Directly providing a [`Model`][agents.models.interface.Model] implementation. @@ -64,20 +93,6 @@ english_agent = Agent( ) ``` -## Using other LLM providers - -You can use other LLM providers in 3 ways (examples [here](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/)): - -1. [`set_default_openai_client`][agents.set_default_openai_client] is useful in cases where you want to globally use an instance of `AsyncOpenAI` as the LLM client. This is for cases where the LLM provider has an OpenAI compatible API endpoint, and you can set the `base_url` and `api_key`. See a configurable example in [examples/model_providers/custom_example_global.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_global.py). -2. [`ModelProvider`][agents.models.interface.ModelProvider] is at the `Runner.run` level. This lets you say "use a custom model provider for all agents in this run". See a configurable example in [examples/model_providers/custom_example_provider.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_provider.py). -3. [`Agent.model`][agents.agent.Agent.model] lets you specify the model on a specific Agent instance. This enables you to mix and match different providers for different agents. See a configurable example in [examples/model_providers/custom_example_agent.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_agent.py). An easy way to use most available models is via the [LiteLLM integration](./litellm.md). - -In cases where you do not have an API key from `platform.openai.com`, we recommend disabling tracing via `set_tracing_disabled()`, or setting up a [different tracing processor](../tracing.md). - -!!! note - - In these examples, we use the Chat Completions API/model, because most LLM providers don't yet support the Responses API. If your LLM provider does support it, we recommend using Responses. - ## Common issues with using other LLM providers ### Tracing client error 401 @@ -100,7 +115,17 @@ The SDK uses the Responses API by default, but most other LLM providers don't ye Some model providers don't have support for [structured outputs](https://platform.openai.com/docs/guides/structured-outputs). This sometimes results in an error that looks something like this: ``` + BadRequestError: Error code: 400 - {'error': {'message': "'response_format.type' : value is not one of the allowed values ['text','json_object']", 'type': 'invalid_request_error'}} + ``` This is a shortcoming of some model providers - they support JSON outputs, but don't allow you to specify the `json_schema` to use for the output. We are working on a fix for this, but we suggest relying on providers that do have support for JSON schema output, because otherwise your app will often break because of malformed JSON. + +## Mixing models across providers + +You need to be aware of feature differences between model providers, or you may run into errors. For example, OpenAI supports structured outputs, multimodal input, and hosted file search and web search, but many other providers don't support these features. Be aware of these limitations: + +- Don't send unsupported `tools` to providers that don't understand them +- Filter out multimodal inputs before calling models that are text-only +- Be aware that providers that don't support structured JSON outputs will occasionally produce invalid JSON. From 5e6c9f33b46532ac838a82130b3cddee85391122 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 21 Apr 2025 15:49:21 -0400 Subject: [PATCH 091/337] Docs and tests for litellm --- README.md | 4 +-- docs/models/index.md | 55 +++++++++++++++++++++++++++++----------- tests/models/test_map.py | 20 +++++++++++++++ 3 files changed, 61 insertions(+), 18 deletions(-) create mode 100644 tests/models/test_map.py diff --git a/README.md b/README.md index bbd4a5a05..7dcd97b33 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # OpenAI Agents SDK -The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows. +The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows. It is provider-agnostic, supporting the OpenAI Responses and Chat Completions APIs, as well as 100+ other LLMs. Image of the Agents Tracing UI @@ -13,8 +13,6 @@ The OpenAI Agents SDK is a lightweight yet powerful framework for building multi Explore the [examples](examples) directory to see the SDK in action, and read our [documentation](https://openai.github.io/openai-agents-python/) for more details. -Notably, our SDK [is compatible](https://openai.github.io/openai-agents-python/models/) with any model providers that support the OpenAI Chat Completions API format. - ## Get started 1. Set up your Python environment diff --git a/docs/models/index.md b/docs/models/index.md index 4cf4f6439..1c89d778a 100644 --- a/docs/models/index.md +++ b/docs/models/index.md @@ -5,11 +5,40 @@ The Agents SDK comes with out-of-the-box support for OpenAI models in two flavor - **Recommended**: the [`OpenAIResponsesModel`][agents.models.openai_responses.OpenAIResponsesModel], which calls OpenAI APIs using the new [Responses API](https://platform.openai.com/docs/api-reference/responses). - The [`OpenAIChatCompletionsModel`][agents.models.openai_chatcompletions.OpenAIChatCompletionsModel], which calls OpenAI APIs using the [Chat Completions API](https://platform.openai.com/docs/api-reference/chat). +## Non-OpenAI models + +You can use most other non-OpenAI models via the [LiteLLM integration](./litellm.md). First, install the litellm dependency group: + +```bash +pip install "openai-agents[litellm]" +``` + +Then, use any of the [supported models](https://docs.litellm.ai/docs/providers) with the `litellm/` prefix: + +```python +claude_agent = Agent(model="litellm/anthropic/claude-3-5-sonnet-20240620", ...) +gemini_agent = Agent(model="litellm/gemini/gemini-2.5-flash-preview-04-17", ...) +``` + +### Other ways to use non-OpenAI models + +You can integrate other LLM providers in 3 more ways (examples [here](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/)): + +1. [`set_default_openai_client`][agents.set_default_openai_client] is useful in cases where you want to globally use an instance of `AsyncOpenAI` as the LLM client. This is for cases where the LLM provider has an OpenAI compatible API endpoint, and you can set the `base_url` and `api_key`. See a configurable example in [examples/model_providers/custom_example_global.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_global.py). +2. [`ModelProvider`][agents.models.interface.ModelProvider] is at the `Runner.run` level. This lets you say "use a custom model provider for all agents in this run". See a configurable example in [examples/model_providers/custom_example_provider.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_provider.py). +3. [`Agent.model`][agents.agent.Agent.model] lets you specify the model on a specific Agent instance. This enables you to mix and match different providers for different agents. See a configurable example in [examples/model_providers/custom_example_agent.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_agent.py). An easy way to use most available models is via the [LiteLLM integration](./litellm.md). + +In cases where you do not have an API key from `platform.openai.com`, we recommend disabling tracing via `set_tracing_disabled()`, or setting up a [different tracing processor](../tracing.md). + +!!! note + + In these examples, we use the Chat Completions API/model, because most LLM providers don't yet support the Responses API. If your LLM provider does support it, we recommend using Responses. + ## Mixing and matching models Within a single workflow, you may want to use different models for each agent. For example, you could use a smaller, faster model for triage, while using a larger, more capable model for complex tasks. When configuring an [`Agent`][agents.Agent], you can select a specific model by either: -1. Passing the name of an OpenAI model. +1. Passing the name of a model. 2. Passing any model name + a [`ModelProvider`][agents.models.interface.ModelProvider] that can map that name to a Model instance. 3. Directly providing a [`Model`][agents.models.interface.Model] implementation. @@ -64,20 +93,6 @@ english_agent = Agent( ) ``` -## Using other LLM providers - -You can use other LLM providers in 3 ways (examples [here](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/)): - -1. [`set_default_openai_client`][agents.set_default_openai_client] is useful in cases where you want to globally use an instance of `AsyncOpenAI` as the LLM client. This is for cases where the LLM provider has an OpenAI compatible API endpoint, and you can set the `base_url` and `api_key`. See a configurable example in [examples/model_providers/custom_example_global.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_global.py). -2. [`ModelProvider`][agents.models.interface.ModelProvider] is at the `Runner.run` level. This lets you say "use a custom model provider for all agents in this run". See a configurable example in [examples/model_providers/custom_example_provider.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_provider.py). -3. [`Agent.model`][agents.agent.Agent.model] lets you specify the model on a specific Agent instance. This enables you to mix and match different providers for different agents. See a configurable example in [examples/model_providers/custom_example_agent.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_agent.py). An easy way to use most available models is via the [LiteLLM integration](./litellm.md). - -In cases where you do not have an API key from `platform.openai.com`, we recommend disabling tracing via `set_tracing_disabled()`, or setting up a [different tracing processor](../tracing.md). - -!!! note - - In these examples, we use the Chat Completions API/model, because most LLM providers don't yet support the Responses API. If your LLM provider does support it, we recommend using Responses. - ## Common issues with using other LLM providers ### Tracing client error 401 @@ -100,7 +115,17 @@ The SDK uses the Responses API by default, but most other LLM providers don't ye Some model providers don't have support for [structured outputs](https://platform.openai.com/docs/guides/structured-outputs). This sometimes results in an error that looks something like this: ``` + BadRequestError: Error code: 400 - {'error': {'message': "'response_format.type' : value is not one of the allowed values ['text','json_object']", 'type': 'invalid_request_error'}} + ``` This is a shortcoming of some model providers - they support JSON outputs, but don't allow you to specify the `json_schema` to use for the output. We are working on a fix for this, but we suggest relying on providers that do have support for JSON schema output, because otherwise your app will often break because of malformed JSON. + +## Mixing models across providers + +You need to be aware of feature differences between model providers, or you may run into errors. For example, OpenAI supports structured outputs, multimodal input, and hosted file search and web search, but many other providers don't support these features. Be aware of these limitations: + +- Don't send unsupported `tools` to providers that don't understand them +- Filter out multimodal inputs before calling models that are text-only +- Be aware that providers that don't support structured JSON outputs will occasionally produce invalid JSON. diff --git a/tests/models/test_map.py b/tests/models/test_map.py new file mode 100644 index 000000000..15d979a9f --- /dev/null +++ b/tests/models/test_map.py @@ -0,0 +1,20 @@ +from agents import Agent, OpenAIChatCompletionsModel, OpenAIResponsesModel, RunConfig, Runner +from agents.extensions.models.litellm_model import LitellmModel + + +def test_no_prefix_is_openai(): + agent = Agent(model="gpt-4o", instructions="", name="test") + model = Runner._get_model(agent, RunConfig()) + assert isinstance(model, OpenAIResponsesModel) + + +def openai_prefix_is_openai(): + agent = Agent(model="openai/gpt-4o", instructions="", name="test") + model = Runner._get_model(agent, RunConfig()) + assert isinstance(model, OpenAIResponsesModel) + + +def test_litellm_prefix_is_litellm(): + agent = Agent(model="litellm/foo/bar", instructions="", name="test") + model = Runner._get_model(agent, RunConfig()) + assert isinstance(model, LitellmModel) From 02134e89d494759a81e3da087dd96cb26d856838 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 21 Apr 2025 15:49:21 -0400 Subject: [PATCH 092/337] Docs and tests for litellm --- README.md | 4 +-- docs/models/index.md | 55 +++++++++++++++++++++++++++++----------- tests/models/test_map.py | 20 +++++++++++++++ 3 files changed, 61 insertions(+), 18 deletions(-) create mode 100644 tests/models/test_map.py diff --git a/README.md b/README.md index bbd4a5a05..7dcd97b33 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # OpenAI Agents SDK -The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows. +The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows. It is provider-agnostic, supporting the OpenAI Responses and Chat Completions APIs, as well as 100+ other LLMs. Image of the Agents Tracing UI @@ -13,8 +13,6 @@ The OpenAI Agents SDK is a lightweight yet powerful framework for building multi Explore the [examples](examples) directory to see the SDK in action, and read our [documentation](https://openai.github.io/openai-agents-python/) for more details. -Notably, our SDK [is compatible](https://openai.github.io/openai-agents-python/models/) with any model providers that support the OpenAI Chat Completions API format. - ## Get started 1. Set up your Python environment diff --git a/docs/models/index.md b/docs/models/index.md index 4cf4f6439..1c89d778a 100644 --- a/docs/models/index.md +++ b/docs/models/index.md @@ -5,11 +5,40 @@ The Agents SDK comes with out-of-the-box support for OpenAI models in two flavor - **Recommended**: the [`OpenAIResponsesModel`][agents.models.openai_responses.OpenAIResponsesModel], which calls OpenAI APIs using the new [Responses API](https://platform.openai.com/docs/api-reference/responses). - The [`OpenAIChatCompletionsModel`][agents.models.openai_chatcompletions.OpenAIChatCompletionsModel], which calls OpenAI APIs using the [Chat Completions API](https://platform.openai.com/docs/api-reference/chat). +## Non-OpenAI models + +You can use most other non-OpenAI models via the [LiteLLM integration](./litellm.md). First, install the litellm dependency group: + +```bash +pip install "openai-agents[litellm]" +``` + +Then, use any of the [supported models](https://docs.litellm.ai/docs/providers) with the `litellm/` prefix: + +```python +claude_agent = Agent(model="litellm/anthropic/claude-3-5-sonnet-20240620", ...) +gemini_agent = Agent(model="litellm/gemini/gemini-2.5-flash-preview-04-17", ...) +``` + +### Other ways to use non-OpenAI models + +You can integrate other LLM providers in 3 more ways (examples [here](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/)): + +1. [`set_default_openai_client`][agents.set_default_openai_client] is useful in cases where you want to globally use an instance of `AsyncOpenAI` as the LLM client. This is for cases where the LLM provider has an OpenAI compatible API endpoint, and you can set the `base_url` and `api_key`. See a configurable example in [examples/model_providers/custom_example_global.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_global.py). +2. [`ModelProvider`][agents.models.interface.ModelProvider] is at the `Runner.run` level. This lets you say "use a custom model provider for all agents in this run". See a configurable example in [examples/model_providers/custom_example_provider.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_provider.py). +3. [`Agent.model`][agents.agent.Agent.model] lets you specify the model on a specific Agent instance. This enables you to mix and match different providers for different agents. See a configurable example in [examples/model_providers/custom_example_agent.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_agent.py). An easy way to use most available models is via the [LiteLLM integration](./litellm.md). + +In cases where you do not have an API key from `platform.openai.com`, we recommend disabling tracing via `set_tracing_disabled()`, or setting up a [different tracing processor](../tracing.md). + +!!! note + + In these examples, we use the Chat Completions API/model, because most LLM providers don't yet support the Responses API. If your LLM provider does support it, we recommend using Responses. + ## Mixing and matching models Within a single workflow, you may want to use different models for each agent. For example, you could use a smaller, faster model for triage, while using a larger, more capable model for complex tasks. When configuring an [`Agent`][agents.Agent], you can select a specific model by either: -1. Passing the name of an OpenAI model. +1. Passing the name of a model. 2. Passing any model name + a [`ModelProvider`][agents.models.interface.ModelProvider] that can map that name to a Model instance. 3. Directly providing a [`Model`][agents.models.interface.Model] implementation. @@ -64,20 +93,6 @@ english_agent = Agent( ) ``` -## Using other LLM providers - -You can use other LLM providers in 3 ways (examples [here](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/)): - -1. [`set_default_openai_client`][agents.set_default_openai_client] is useful in cases where you want to globally use an instance of `AsyncOpenAI` as the LLM client. This is for cases where the LLM provider has an OpenAI compatible API endpoint, and you can set the `base_url` and `api_key`. See a configurable example in [examples/model_providers/custom_example_global.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_global.py). -2. [`ModelProvider`][agents.models.interface.ModelProvider] is at the `Runner.run` level. This lets you say "use a custom model provider for all agents in this run". See a configurable example in [examples/model_providers/custom_example_provider.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_provider.py). -3. [`Agent.model`][agents.agent.Agent.model] lets you specify the model on a specific Agent instance. This enables you to mix and match different providers for different agents. See a configurable example in [examples/model_providers/custom_example_agent.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_agent.py). An easy way to use most available models is via the [LiteLLM integration](./litellm.md). - -In cases where you do not have an API key from `platform.openai.com`, we recommend disabling tracing via `set_tracing_disabled()`, or setting up a [different tracing processor](../tracing.md). - -!!! note - - In these examples, we use the Chat Completions API/model, because most LLM providers don't yet support the Responses API. If your LLM provider does support it, we recommend using Responses. - ## Common issues with using other LLM providers ### Tracing client error 401 @@ -100,7 +115,17 @@ The SDK uses the Responses API by default, but most other LLM providers don't ye Some model providers don't have support for [structured outputs](https://platform.openai.com/docs/guides/structured-outputs). This sometimes results in an error that looks something like this: ``` + BadRequestError: Error code: 400 - {'error': {'message': "'response_format.type' : value is not one of the allowed values ['text','json_object']", 'type': 'invalid_request_error'}} + ``` This is a shortcoming of some model providers - they support JSON outputs, but don't allow you to specify the `json_schema` to use for the output. We are working on a fix for this, but we suggest relying on providers that do have support for JSON schema output, because otherwise your app will often break because of malformed JSON. + +## Mixing models across providers + +You need to be aware of feature differences between model providers, or you may run into errors. For example, OpenAI supports structured outputs, multimodal input, and hosted file search and web search, but many other providers don't support these features. Be aware of these limitations: + +- Don't send unsupported `tools` to providers that don't understand them +- Filter out multimodal inputs before calling models that are text-only +- Be aware that providers that don't support structured JSON outputs will occasionally produce invalid JSON. diff --git a/tests/models/test_map.py b/tests/models/test_map.py new file mode 100644 index 000000000..15d979a9f --- /dev/null +++ b/tests/models/test_map.py @@ -0,0 +1,20 @@ +from agents import Agent, OpenAIChatCompletionsModel, OpenAIResponsesModel, RunConfig, Runner +from agents.extensions.models.litellm_model import LitellmModel + + +def test_no_prefix_is_openai(): + agent = Agent(model="gpt-4o", instructions="", name="test") + model = Runner._get_model(agent, RunConfig()) + assert isinstance(model, OpenAIResponsesModel) + + +def openai_prefix_is_openai(): + agent = Agent(model="openai/gpt-4o", instructions="", name="test") + model = Runner._get_model(agent, RunConfig()) + assert isinstance(model, OpenAIResponsesModel) + + +def test_litellm_prefix_is_litellm(): + agent = Agent(model="litellm/foo/bar", instructions="", name="test") + model = Runner._get_model(agent, RunConfig()) + assert isinstance(model, LitellmModel) From 8cc091a8bf68c9f70bd8e4408563855df8c3f7dc Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 21 Apr 2025 15:49:21 -0400 Subject: [PATCH 093/337] Docs and tests for litellm --- README.md | 4 +-- docs/models/index.md | 55 +++++++++++++++++++++++++++++----------- tests/models/__init__.py | 0 tests/models/conftest.py | 11 ++++++++ tests/models/test_map.py | 20 +++++++++++++++ 5 files changed, 72 insertions(+), 18 deletions(-) create mode 100644 tests/models/__init__.py create mode 100644 tests/models/conftest.py create mode 100644 tests/models/test_map.py diff --git a/README.md b/README.md index bbd4a5a05..7dcd97b33 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # OpenAI Agents SDK -The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows. +The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows. It is provider-agnostic, supporting the OpenAI Responses and Chat Completions APIs, as well as 100+ other LLMs. Image of the Agents Tracing UI @@ -13,8 +13,6 @@ The OpenAI Agents SDK is a lightweight yet powerful framework for building multi Explore the [examples](examples) directory to see the SDK in action, and read our [documentation](https://openai.github.io/openai-agents-python/) for more details. -Notably, our SDK [is compatible](https://openai.github.io/openai-agents-python/models/) with any model providers that support the OpenAI Chat Completions API format. - ## Get started 1. Set up your Python environment diff --git a/docs/models/index.md b/docs/models/index.md index 4cf4f6439..1c89d778a 100644 --- a/docs/models/index.md +++ b/docs/models/index.md @@ -5,11 +5,40 @@ The Agents SDK comes with out-of-the-box support for OpenAI models in two flavor - **Recommended**: the [`OpenAIResponsesModel`][agents.models.openai_responses.OpenAIResponsesModel], which calls OpenAI APIs using the new [Responses API](https://platform.openai.com/docs/api-reference/responses). - The [`OpenAIChatCompletionsModel`][agents.models.openai_chatcompletions.OpenAIChatCompletionsModel], which calls OpenAI APIs using the [Chat Completions API](https://platform.openai.com/docs/api-reference/chat). +## Non-OpenAI models + +You can use most other non-OpenAI models via the [LiteLLM integration](./litellm.md). First, install the litellm dependency group: + +```bash +pip install "openai-agents[litellm]" +``` + +Then, use any of the [supported models](https://docs.litellm.ai/docs/providers) with the `litellm/` prefix: + +```python +claude_agent = Agent(model="litellm/anthropic/claude-3-5-sonnet-20240620", ...) +gemini_agent = Agent(model="litellm/gemini/gemini-2.5-flash-preview-04-17", ...) +``` + +### Other ways to use non-OpenAI models + +You can integrate other LLM providers in 3 more ways (examples [here](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/)): + +1. [`set_default_openai_client`][agents.set_default_openai_client] is useful in cases where you want to globally use an instance of `AsyncOpenAI` as the LLM client. This is for cases where the LLM provider has an OpenAI compatible API endpoint, and you can set the `base_url` and `api_key`. See a configurable example in [examples/model_providers/custom_example_global.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_global.py). +2. [`ModelProvider`][agents.models.interface.ModelProvider] is at the `Runner.run` level. This lets you say "use a custom model provider for all agents in this run". See a configurable example in [examples/model_providers/custom_example_provider.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_provider.py). +3. [`Agent.model`][agents.agent.Agent.model] lets you specify the model on a specific Agent instance. This enables you to mix and match different providers for different agents. See a configurable example in [examples/model_providers/custom_example_agent.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_agent.py). An easy way to use most available models is via the [LiteLLM integration](./litellm.md). + +In cases where you do not have an API key from `platform.openai.com`, we recommend disabling tracing via `set_tracing_disabled()`, or setting up a [different tracing processor](../tracing.md). + +!!! note + + In these examples, we use the Chat Completions API/model, because most LLM providers don't yet support the Responses API. If your LLM provider does support it, we recommend using Responses. + ## Mixing and matching models Within a single workflow, you may want to use different models for each agent. For example, you could use a smaller, faster model for triage, while using a larger, more capable model for complex tasks. When configuring an [`Agent`][agents.Agent], you can select a specific model by either: -1. Passing the name of an OpenAI model. +1. Passing the name of a model. 2. Passing any model name + a [`ModelProvider`][agents.models.interface.ModelProvider] that can map that name to a Model instance. 3. Directly providing a [`Model`][agents.models.interface.Model] implementation. @@ -64,20 +93,6 @@ english_agent = Agent( ) ``` -## Using other LLM providers - -You can use other LLM providers in 3 ways (examples [here](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/)): - -1. [`set_default_openai_client`][agents.set_default_openai_client] is useful in cases where you want to globally use an instance of `AsyncOpenAI` as the LLM client. This is for cases where the LLM provider has an OpenAI compatible API endpoint, and you can set the `base_url` and `api_key`. See a configurable example in [examples/model_providers/custom_example_global.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_global.py). -2. [`ModelProvider`][agents.models.interface.ModelProvider] is at the `Runner.run` level. This lets you say "use a custom model provider for all agents in this run". See a configurable example in [examples/model_providers/custom_example_provider.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_provider.py). -3. [`Agent.model`][agents.agent.Agent.model] lets you specify the model on a specific Agent instance. This enables you to mix and match different providers for different agents. See a configurable example in [examples/model_providers/custom_example_agent.py](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers/custom_example_agent.py). An easy way to use most available models is via the [LiteLLM integration](./litellm.md). - -In cases where you do not have an API key from `platform.openai.com`, we recommend disabling tracing via `set_tracing_disabled()`, or setting up a [different tracing processor](../tracing.md). - -!!! note - - In these examples, we use the Chat Completions API/model, because most LLM providers don't yet support the Responses API. If your LLM provider does support it, we recommend using Responses. - ## Common issues with using other LLM providers ### Tracing client error 401 @@ -100,7 +115,17 @@ The SDK uses the Responses API by default, but most other LLM providers don't ye Some model providers don't have support for [structured outputs](https://platform.openai.com/docs/guides/structured-outputs). This sometimes results in an error that looks something like this: ``` + BadRequestError: Error code: 400 - {'error': {'message': "'response_format.type' : value is not one of the allowed values ['text','json_object']", 'type': 'invalid_request_error'}} + ``` This is a shortcoming of some model providers - they support JSON outputs, but don't allow you to specify the `json_schema` to use for the output. We are working on a fix for this, but we suggest relying on providers that do have support for JSON schema output, because otherwise your app will often break because of malformed JSON. + +## Mixing models across providers + +You need to be aware of feature differences between model providers, or you may run into errors. For example, OpenAI supports structured outputs, multimodal input, and hosted file search and web search, but many other providers don't support these features. Be aware of these limitations: + +- Don't send unsupported `tools` to providers that don't understand them +- Filter out multimodal inputs before calling models that are text-only +- Be aware that providers that don't support structured JSON outputs will occasionally produce invalid JSON. diff --git a/tests/models/__init__.py b/tests/models/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/tests/models/conftest.py b/tests/models/conftest.py new file mode 100644 index 000000000..79d85d8b4 --- /dev/null +++ b/tests/models/conftest.py @@ -0,0 +1,11 @@ +import os +import sys + + +# Skip voice tests on Python 3.9 +def pytest_ignore_collect(collection_path, config): + if sys.version_info[:2] == (3, 9): + this_dir = os.path.dirname(__file__) + + if str(collection_path).startswith(this_dir): + return True diff --git a/tests/models/test_map.py b/tests/models/test_map.py new file mode 100644 index 000000000..6b65fc094 --- /dev/null +++ b/tests/models/test_map.py @@ -0,0 +1,20 @@ +from agents import Agent, OpenAIResponsesModel, RunConfig, Runner +from agents.extensions.models.litellm_model import LitellmModel + + +def test_no_prefix_is_openai(): + agent = Agent(model="gpt-4o", instructions="", name="test") + model = Runner._get_model(agent, RunConfig()) + assert isinstance(model, OpenAIResponsesModel) + + +def openai_prefix_is_openai(): + agent = Agent(model="openai/gpt-4o", instructions="", name="test") + model = Runner._get_model(agent, RunConfig()) + assert isinstance(model, OpenAIResponsesModel) + + +def test_litellm_prefix_is_litellm(): + agent = Agent(model="litellm/foo/bar", instructions="", name="test") + model = Runner._get_model(agent, RunConfig()) + assert isinstance(model, LitellmModel) From a8bfb33efe3da987de69e0a5eb6fa9e5b30fc03f Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 21 Apr 2025 20:09:44 -0400 Subject: [PATCH 094/337] v0.0.12 --- pyproject.toml | 2 +- uv.lock | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index c06a8416b..eeeb6d3d3 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "openai-agents" -version = "0.0.11" +version = "0.0.12" description = "OpenAI Agents SDK" readme = "README.md" requires-python = ">=3.9" diff --git a/uv.lock b/uv.lock index 3ee65d21a..3a737cf37 100644 --- a/uv.lock +++ b/uv.lock @@ -1482,7 +1482,7 @@ wheels = [ [[package]] name = "openai-agents" -version = "0.0.11" +version = "0.0.12" source = { editable = "." } dependencies = [ { name = "griffe" }, From 8fc326a7b8a8b66baefed25a1a948e909bfcbd20 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 22 Apr 2025 13:35:14 -0400 Subject: [PATCH 095/337] Make input/new items available in the run context --- src/agents/result.py | 5 +++++ src/agents/run.py | 12 +++++++++++- src/agents/run_context.py | 22 ++++++++++++++++++++++ 3 files changed, 38 insertions(+), 1 deletion(-) diff --git a/src/agents/result.py b/src/agents/result.py index 0d8372c86..f3e26ca60 100644 --- a/src/agents/result.py +++ b/src/agents/result.py @@ -8,6 +8,8 @@ from typing_extensions import TypeVar +from agents.run_context import RunContextWrapper + from ._run_impl import QueueCompleteSentinel from .agent import Agent from .agent_output import AgentOutputSchemaBase @@ -50,6 +52,9 @@ class RunResultBase(abc.ABC): output_guardrail_results: list[OutputGuardrailResult] """Guardrail results for the final output of the agent.""" + context_wrapper: RunContextWrapper[Any] + """The context wrapper that was used to run the agent.""" + @property @abc.abstractmethod def last_agent(self) -> Agent[Any]: diff --git a/src/agents/run.py b/src/agents/run.py index 2af558d58..8f90af5a9 100644 --- a/src/agents/run.py +++ b/src/agents/run.py @@ -170,6 +170,7 @@ async def run( context_wrapper: RunContextWrapper[TContext] = RunContextWrapper( context=context, # type: ignore + _input=copy.deepcopy(input), ) input_guardrail_results: list[InputGuardrailResult] = [] @@ -255,6 +256,9 @@ async def run( original_input = turn_result.original_input generated_items = turn_result.generated_items + context_wrapper._input = copy.deepcopy(original_input) + context_wrapper._new_items = copy.deepcopy(generated_items) + if isinstance(turn_result.next_step, NextStepFinalOutput): output_guardrail_results = await cls._run_output_guardrails( current_agent.output_guardrails + (run_config.output_guardrails or []), @@ -270,6 +274,7 @@ async def run( _last_agent=current_agent, input_guardrail_results=input_guardrail_results, output_guardrail_results=output_guardrail_results, + context_wrapper=context_wrapper, ) elif isinstance(turn_result.next_step, NextStepHandoff): current_agent = cast(Agent[TContext], turn_result.next_step.new_agent) @@ -407,7 +412,8 @@ def run_streamed( output_schema = cls._get_output_schema(starting_agent) context_wrapper: RunContextWrapper[TContext] = RunContextWrapper( - context=context # type: ignore + context=context, # type: ignore + _input=copy.deepcopy(input), ) streamed_result = RunResultStreaming( @@ -423,6 +429,7 @@ def run_streamed( output_guardrail_results=[], _current_agent_output_schema=output_schema, trace=new_trace, + context_wrapper=context_wrapper, ) # Kick off the actual agent loop in the background and return the streamed result object. @@ -576,6 +583,9 @@ async def _run_streamed_impl( streamed_result.input = turn_result.original_input streamed_result.new_items = turn_result.generated_items + context_wrapper._input = copy.deepcopy(streamed_result.input) + context_wrapper._new_items = copy.deepcopy(streamed_result.new_items) + if isinstance(turn_result.next_step, NextStepHandoff): current_agent = turn_result.next_step.new_agent current_span.finish(reset_current=True) diff --git a/src/agents/run_context.py b/src/agents/run_context.py index 579a215f2..31c391fa7 100644 --- a/src/agents/run_context.py +++ b/src/agents/run_context.py @@ -1,8 +1,12 @@ +from __future__ import annotations + +import copy from dataclasses import dataclass, field from typing import Any, Generic from typing_extensions import TypeVar +from .items import RunItem, TResponseInputItem from .usage import Usage TContext = TypeVar("TContext", default=Any) @@ -24,3 +28,21 @@ class RunContextWrapper(Generic[TContext]): """The usage of the agent run so far. For streamed responses, the usage will be stale until the last chunk of the stream is processed. """ + + _new_items: list[RunItem] = field(default_factory=list, repr=False) + """The new items created during the agent run.""" + + _input: str | list[TResponseInputItem] = field(default_factory=list, repr=False) + """The original input that you passed to `Runner.run()`.""" + + @property + def input(self) -> str | list[TResponseInputItem]: + """The original input that you passed to `Runner.run()`.""" + + return copy.deepcopy(self._input) + + @property + def new_items(self) -> list[RunItem]: + """The new items created during the agent run.""" + + return copy.deepcopy(self._new_items) From 357074ca304a996214b49599670315eb7cfac109 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 23 Apr 2025 17:39:19 -0400 Subject: [PATCH 096/337] wip litellm thinking --- src/agents/extensions/models/litellm_model.py | 18 +++++++++++++++--- 1 file changed, 15 insertions(+), 3 deletions(-) diff --git a/src/agents/extensions/models/litellm_model.py b/src/agents/extensions/models/litellm_model.py index e939ee8da..bf8f95459 100644 --- a/src/agents/extensions/models/litellm_model.py +++ b/src/agents/extensions/models/litellm_model.py @@ -26,12 +26,13 @@ ChatCompletionMessage, ) from openai.types.chat.chat_completion_message_tool_call import Function -from openai.types.responses import Response +from openai.types.responses import Response, ResponseReasoningItem +from openai.types.responses.response_reasoning_item import Summary from ... import _debug from ...agent_output import AgentOutputSchemaBase from ...handoffs import Handoff -from ...items import ModelResponse, TResponseInputItem, TResponseStreamEvent +from ...items import ModelResponse, ReasoningItem, TResponseInputItem, TResponseStreamEvent from ...logger import logger from ...model_settings import ModelSettings from ...models.chatcmpl_converter import Converter @@ -123,10 +124,21 @@ async def get_response( "output_tokens": usage.output_tokens, } + message = response.choices[0].message + items = Converter.message_to_output_items( - LitellmConverter.convert_message_to_openai(response.choices[0].message) + LitellmConverter.convert_message_to_openai(message) ) + if hasattr(message, "reasoning_content") and message.reasoning_content: + items.append( + ResponseReasoningItem( + id=FAKE_RESPONSES_ID, + summary=[Summary(text=message.reasoning_content, type="summary_text")], + type="reasoning", + ) + ) + return ModelResponse( output=items, usage=usage, From dffc2698182ba12ab992f439aa76dc45482e10b8 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 23 Apr 2025 20:25:34 -0400 Subject: [PATCH 097/337] Create to_json_dict for ModelSettings --- src/agents/extensions/models/litellm_model.py | 7 +-- src/agents/model_settings.py | 17 +++++- src/agents/models/openai_chatcompletions.py | 7 +-- tests/model_settings/test_serialization.py | 58 +++++++++++++++++++ tests/voice/conftest.py | 1 - 5 files changed, 79 insertions(+), 11 deletions(-) create mode 100644 tests/model_settings/test_serialization.py diff --git a/src/agents/extensions/models/litellm_model.py b/src/agents/extensions/models/litellm_model.py index bf8f95459..a83baea55 100644 --- a/src/agents/extensions/models/litellm_model.py +++ b/src/agents/extensions/models/litellm_model.py @@ -1,6 +1,5 @@ from __future__ import annotations -import dataclasses import json import time from collections.abc import AsyncIterator @@ -32,7 +31,7 @@ from ... import _debug from ...agent_output import AgentOutputSchemaBase from ...handoffs import Handoff -from ...items import ModelResponse, ReasoningItem, TResponseInputItem, TResponseStreamEvent +from ...items import ModelResponse, TResponseInputItem, TResponseStreamEvent from ...logger import logger from ...model_settings import ModelSettings from ...models.chatcmpl_converter import Converter @@ -76,7 +75,7 @@ async def get_response( ) -> ModelResponse: with generation_span( model=str(self.model), - model_config=dataclasses.asdict(model_settings) + model_config=model_settings.to_json_dict() | {"base_url": str(self.base_url or ""), "model_impl": "litellm"}, disabled=tracing.is_disabled(), ) as span_generation: @@ -159,7 +158,7 @@ async def stream_response( ) -> AsyncIterator[TResponseStreamEvent]: with generation_span( model=str(self.model), - model_config=dataclasses.asdict(model_settings) + model_config=model_settings.to_json_dict() | {"base_url": str(self.base_url or ""), "model_impl": "litellm"}, disabled=tracing.is_disabled(), ) as span_generation: diff --git a/src/agents/model_settings.py b/src/agents/model_settings.py index ed9a01318..8dfd3abcf 100644 --- a/src/agents/model_settings.py +++ b/src/agents/model_settings.py @@ -1,10 +1,12 @@ from __future__ import annotations +import dataclasses from dataclasses import dataclass, fields, replace -from typing import Literal +from typing import Any, Literal from openai._types import Body, Query from openai.types.shared import Reasoning +from pydantic import BaseModel @dataclass @@ -79,3 +81,16 @@ def resolve(self, override: ModelSettings | None) -> ModelSettings: if getattr(override, field.name) is not None } return replace(self, **changes) + + def to_json_dict(self) -> dict[str, Any]: + dataclass_dict = dataclasses.asdict(self) + + json_dict: dict[str, Any] = {} + + for field_name, value in dataclass_dict.items(): + if isinstance(value, BaseModel): + json_dict[field_name] = value.model_dump(mode="json") + else: + json_dict[field_name] = value + + return json_dict diff --git a/src/agents/models/openai_chatcompletions.py b/src/agents/models/openai_chatcompletions.py index 9fd102690..793b3e447 100644 --- a/src/agents/models/openai_chatcompletions.py +++ b/src/agents/models/openai_chatcompletions.py @@ -1,6 +1,5 @@ from __future__ import annotations -import dataclasses import json import time from collections.abc import AsyncIterator @@ -56,8 +55,7 @@ async def get_response( ) -> ModelResponse: with generation_span( model=str(self.model), - model_config=dataclasses.asdict(model_settings) - | {"base_url": str(self._client.base_url)}, + model_config=model_settings.to_json_dict() | {"base_url": str(self._client.base_url)}, disabled=tracing.is_disabled(), ) as span_generation: response = await self._fetch_response( @@ -121,8 +119,7 @@ async def stream_response( """ with generation_span( model=str(self.model), - model_config=dataclasses.asdict(model_settings) - | {"base_url": str(self._client.base_url)}, + model_config=model_settings.to_json_dict() | {"base_url": str(self._client.base_url)}, disabled=tracing.is_disabled(), ) as span_generation: response, stream = await self._fetch_response( diff --git a/tests/model_settings/test_serialization.py b/tests/model_settings/test_serialization.py new file mode 100644 index 000000000..089c9ea1b --- /dev/null +++ b/tests/model_settings/test_serialization.py @@ -0,0 +1,58 @@ +import json +from dataclasses import fields + +from openai.types.shared import Reasoning + +from agents.model_settings import ModelSettings + + +def verify_serialization(model_settings: ModelSettings) -> None: + """Verify that ModelSettings can be serialized to a JSON string.""" + json_dict = model_settings.to_json_dict() + json_string = json.dumps(json_dict) + assert json_string is not None + + +def test_basic_serialization() -> None: + """Tests whether ModelSettings can be serialized to a JSON string.""" + + # First, lets create a ModelSettings instance + model_settings = ModelSettings( + temperature=0.5, + top_p=0.9, + max_tokens=100, + ) + + # Now, lets serialize the ModelSettings instance to a JSON string + verify_serialization(model_settings) + + +def test_all_fields_serialization() -> None: + """Tests whether ModelSettings can be serialized to a JSON string.""" + + # First, lets create a ModelSettings instance + model_settings = ModelSettings( + temperature=0.5, + top_p=0.9, + frequency_penalty=0.0, + presence_penalty=0.0, + tool_choice="auto", + parallel_tool_calls=True, + truncation="auto", + max_tokens=100, + reasoning=Reasoning(summary="auto"), + metadata={"foo": "bar"}, + store=False, + include_usage=False, + extra_query={"foo": "bar"}, + extra_body={"foo": "bar"}, + ) + + # Verify that every single field is set to a non-None value + for field in fields(model_settings): + assert getattr(model_settings, field.name) is not None, ( + f"You must set the {field.name} field" + ) + + # Now, lets serialize the ModelSettings instance to a JSON string + verify_serialization(model_settings) diff --git a/tests/voice/conftest.py b/tests/voice/conftest.py index 6ed7422ce..79d85d8b4 100644 --- a/tests/voice/conftest.py +++ b/tests/voice/conftest.py @@ -9,4 +9,3 @@ def pytest_ignore_collect(collection_path, config): if str(collection_path).startswith(this_dir): return True - From 82f9d3f2821ef7d49c6e3fa3ddf89e7b4cb226ee Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 23 Apr 2025 20:26:23 -0400 Subject: [PATCH 098/337] Create to_json_dict for ModelSettings --- src/agents/extensions/models/litellm_model.py | 5 +- src/agents/model_settings.py | 17 +++++- src/agents/models/openai_chatcompletions.py | 7 +-- tests/model_settings/test_serialization.py | 58 +++++++++++++++++++ tests/voice/conftest.py | 1 - 5 files changed, 78 insertions(+), 10 deletions(-) create mode 100644 tests/model_settings/test_serialization.py diff --git a/src/agents/extensions/models/litellm_model.py b/src/agents/extensions/models/litellm_model.py index f5e7752fa..dc672acd4 100644 --- a/src/agents/extensions/models/litellm_model.py +++ b/src/agents/extensions/models/litellm_model.py @@ -1,6 +1,5 @@ from __future__ import annotations -import dataclasses import json import time from collections.abc import AsyncIterator @@ -75,7 +74,7 @@ async def get_response( ) -> ModelResponse: with generation_span( model=str(self.model), - model_config=dataclasses.asdict(model_settings) + model_config=model_settings.to_json_dict() | {"base_url": str(self.base_url or ""), "model_impl": "litellm"}, disabled=tracing.is_disabled(), ) as span_generation: @@ -147,7 +146,7 @@ async def stream_response( ) -> AsyncIterator[TResponseStreamEvent]: with generation_span( model=str(self.model), - model_config=dataclasses.asdict(model_settings) + model_config=model_settings.to_json_dict() | {"base_url": str(self.base_url or ""), "model_impl": "litellm"}, disabled=tracing.is_disabled(), ) as span_generation: diff --git a/src/agents/model_settings.py b/src/agents/model_settings.py index fee92b4e0..7b016c98f 100644 --- a/src/agents/model_settings.py +++ b/src/agents/model_settings.py @@ -1,10 +1,12 @@ from __future__ import annotations +import dataclasses from dataclasses import dataclass, fields, replace -from typing import Literal +from typing import Any, Literal from openai._types import Body, Headers, Query from openai.types.shared import Reasoning +from pydantic import BaseModel @dataclass @@ -83,3 +85,16 @@ def resolve(self, override: ModelSettings | None) -> ModelSettings: if getattr(override, field.name) is not None } return replace(self, **changes) + + def to_json_dict(self) -> dict[str, Any]: + dataclass_dict = dataclasses.asdict(self) + + json_dict: dict[str, Any] = {} + + for field_name, value in dataclass_dict.items(): + if isinstance(value, BaseModel): + json_dict[field_name] = value.model_dump(mode="json") + else: + json_dict[field_name] = value + + return json_dict diff --git a/src/agents/models/openai_chatcompletions.py b/src/agents/models/openai_chatcompletions.py index 15bf19cb3..89619f838 100644 --- a/src/agents/models/openai_chatcompletions.py +++ b/src/agents/models/openai_chatcompletions.py @@ -1,6 +1,5 @@ from __future__ import annotations -import dataclasses import json import time from collections.abc import AsyncIterator @@ -56,8 +55,7 @@ async def get_response( ) -> ModelResponse: with generation_span( model=str(self.model), - model_config=dataclasses.asdict(model_settings) - | {"base_url": str(self._client.base_url)}, + model_config=model_settings.to_json_dict() | {"base_url": str(self._client.base_url)}, disabled=tracing.is_disabled(), ) as span_generation: response = await self._fetch_response( @@ -121,8 +119,7 @@ async def stream_response( """ with generation_span( model=str(self.model), - model_config=dataclasses.asdict(model_settings) - | {"base_url": str(self._client.base_url)}, + model_config=model_settings.to_json_dict() | {"base_url": str(self._client.base_url)}, disabled=tracing.is_disabled(), ) as span_generation: response, stream = await self._fetch_response( diff --git a/tests/model_settings/test_serialization.py b/tests/model_settings/test_serialization.py new file mode 100644 index 000000000..089c9ea1b --- /dev/null +++ b/tests/model_settings/test_serialization.py @@ -0,0 +1,58 @@ +import json +from dataclasses import fields + +from openai.types.shared import Reasoning + +from agents.model_settings import ModelSettings + + +def verify_serialization(model_settings: ModelSettings) -> None: + """Verify that ModelSettings can be serialized to a JSON string.""" + json_dict = model_settings.to_json_dict() + json_string = json.dumps(json_dict) + assert json_string is not None + + +def test_basic_serialization() -> None: + """Tests whether ModelSettings can be serialized to a JSON string.""" + + # First, lets create a ModelSettings instance + model_settings = ModelSettings( + temperature=0.5, + top_p=0.9, + max_tokens=100, + ) + + # Now, lets serialize the ModelSettings instance to a JSON string + verify_serialization(model_settings) + + +def test_all_fields_serialization() -> None: + """Tests whether ModelSettings can be serialized to a JSON string.""" + + # First, lets create a ModelSettings instance + model_settings = ModelSettings( + temperature=0.5, + top_p=0.9, + frequency_penalty=0.0, + presence_penalty=0.0, + tool_choice="auto", + parallel_tool_calls=True, + truncation="auto", + max_tokens=100, + reasoning=Reasoning(summary="auto"), + metadata={"foo": "bar"}, + store=False, + include_usage=False, + extra_query={"foo": "bar"}, + extra_body={"foo": "bar"}, + ) + + # Verify that every single field is set to a non-None value + for field in fields(model_settings): + assert getattr(model_settings, field.name) is not None, ( + f"You must set the {field.name} field" + ) + + # Now, lets serialize the ModelSettings instance to a JSON string + verify_serialization(model_settings) diff --git a/tests/voice/conftest.py b/tests/voice/conftest.py index 6ed7422ce..79d85d8b4 100644 --- a/tests/voice/conftest.py +++ b/tests/voice/conftest.py @@ -9,4 +9,3 @@ def pytest_ignore_collect(collection_path, config): if str(collection_path).startswith(this_dir): return True - From 86112f05fd36fa862d0a68582867fb2b78e61adb Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 23 Apr 2025 20:26:23 -0400 Subject: [PATCH 099/337] Create to_json_dict for ModelSettings --- src/agents/extensions/models/litellm_model.py | 5 +- src/agents/model_settings.py | 17 +++++- src/agents/models/openai_chatcompletions.py | 7 +-- tests/model_settings/test_serialization.py | 59 +++++++++++++++++++ tests/voice/conftest.py | 1 - 5 files changed, 79 insertions(+), 10 deletions(-) create mode 100644 tests/model_settings/test_serialization.py diff --git a/src/agents/extensions/models/litellm_model.py b/src/agents/extensions/models/litellm_model.py index f5e7752fa..dc672acd4 100644 --- a/src/agents/extensions/models/litellm_model.py +++ b/src/agents/extensions/models/litellm_model.py @@ -1,6 +1,5 @@ from __future__ import annotations -import dataclasses import json import time from collections.abc import AsyncIterator @@ -75,7 +74,7 @@ async def get_response( ) -> ModelResponse: with generation_span( model=str(self.model), - model_config=dataclasses.asdict(model_settings) + model_config=model_settings.to_json_dict() | {"base_url": str(self.base_url or ""), "model_impl": "litellm"}, disabled=tracing.is_disabled(), ) as span_generation: @@ -147,7 +146,7 @@ async def stream_response( ) -> AsyncIterator[TResponseStreamEvent]: with generation_span( model=str(self.model), - model_config=dataclasses.asdict(model_settings) + model_config=model_settings.to_json_dict() | {"base_url": str(self.base_url or ""), "model_impl": "litellm"}, disabled=tracing.is_disabled(), ) as span_generation: diff --git a/src/agents/model_settings.py b/src/agents/model_settings.py index fee92b4e0..7b016c98f 100644 --- a/src/agents/model_settings.py +++ b/src/agents/model_settings.py @@ -1,10 +1,12 @@ from __future__ import annotations +import dataclasses from dataclasses import dataclass, fields, replace -from typing import Literal +from typing import Any, Literal from openai._types import Body, Headers, Query from openai.types.shared import Reasoning +from pydantic import BaseModel @dataclass @@ -83,3 +85,16 @@ def resolve(self, override: ModelSettings | None) -> ModelSettings: if getattr(override, field.name) is not None } return replace(self, **changes) + + def to_json_dict(self) -> dict[str, Any]: + dataclass_dict = dataclasses.asdict(self) + + json_dict: dict[str, Any] = {} + + for field_name, value in dataclass_dict.items(): + if isinstance(value, BaseModel): + json_dict[field_name] = value.model_dump(mode="json") + else: + json_dict[field_name] = value + + return json_dict diff --git a/src/agents/models/openai_chatcompletions.py b/src/agents/models/openai_chatcompletions.py index 15bf19cb3..89619f838 100644 --- a/src/agents/models/openai_chatcompletions.py +++ b/src/agents/models/openai_chatcompletions.py @@ -1,6 +1,5 @@ from __future__ import annotations -import dataclasses import json import time from collections.abc import AsyncIterator @@ -56,8 +55,7 @@ async def get_response( ) -> ModelResponse: with generation_span( model=str(self.model), - model_config=dataclasses.asdict(model_settings) - | {"base_url": str(self._client.base_url)}, + model_config=model_settings.to_json_dict() | {"base_url": str(self._client.base_url)}, disabled=tracing.is_disabled(), ) as span_generation: response = await self._fetch_response( @@ -121,8 +119,7 @@ async def stream_response( """ with generation_span( model=str(self.model), - model_config=dataclasses.asdict(model_settings) - | {"base_url": str(self._client.base_url)}, + model_config=model_settings.to_json_dict() | {"base_url": str(self._client.base_url)}, disabled=tracing.is_disabled(), ) as span_generation: response, stream = await self._fetch_response( diff --git a/tests/model_settings/test_serialization.py b/tests/model_settings/test_serialization.py new file mode 100644 index 000000000..4e431d5ba --- /dev/null +++ b/tests/model_settings/test_serialization.py @@ -0,0 +1,59 @@ +import json +from dataclasses import fields + +from openai.types.shared import Reasoning + +from agents.model_settings import ModelSettings + + +def verify_serialization(model_settings: ModelSettings) -> None: + """Verify that ModelSettings can be serialized to a JSON string.""" + json_dict = model_settings.to_json_dict() + json_string = json.dumps(json_dict) + assert json_string is not None + + +def test_basic_serialization() -> None: + """Tests whether ModelSettings can be serialized to a JSON string.""" + + # First, lets create a ModelSettings instance + model_settings = ModelSettings( + temperature=0.5, + top_p=0.9, + max_tokens=100, + ) + + # Now, lets serialize the ModelSettings instance to a JSON string + verify_serialization(model_settings) + + +def test_all_fields_serialization() -> None: + """Tests whether ModelSettings can be serialized to a JSON string.""" + + # First, lets create a ModelSettings instance + model_settings = ModelSettings( + temperature=0.5, + top_p=0.9, + frequency_penalty=0.0, + presence_penalty=0.0, + tool_choice="auto", + parallel_tool_calls=True, + truncation="auto", + max_tokens=100, + reasoning=Reasoning(summary="auto"), + metadata={"foo": "bar"}, + store=False, + include_usage=False, + extra_query={"foo": "bar"}, + extra_body={"foo": "bar"}, + extra_headers={"foo": "bar"}, + ) + + # Verify that every single field is set to a non-None value + for field in fields(model_settings): + assert getattr(model_settings, field.name) is not None, ( + f"You must set the {field.name} field" + ) + + # Now, lets serialize the ModelSettings instance to a JSON string + verify_serialization(model_settings) diff --git a/tests/voice/conftest.py b/tests/voice/conftest.py index 6ed7422ce..79d85d8b4 100644 --- a/tests/voice/conftest.py +++ b/tests/voice/conftest.py @@ -9,4 +9,3 @@ def pytest_ignore_collect(collection_path, config): if str(collection_path).startswith(this_dir): return True - From 8040228c45f445ed13dce1efcc5d9738250ec5cf Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 23 Apr 2025 20:31:32 -0400 Subject: [PATCH 100/337] Create to_json_dict for ModelSettings --- pyproject.toml | 2 +- src/agents/extensions/models/litellm_model.py | 5 +- src/agents/model_settings.py | 17 +++++- src/agents/models/openai_chatcompletions.py | 7 +-- tests/model_settings/test_serialization.py | 59 +++++++++++++++++++ tests/voice/conftest.py | 1 - uv.lock | 8 +-- 7 files changed, 84 insertions(+), 15 deletions(-) create mode 100644 tests/model_settings/test_serialization.py diff --git a/pyproject.toml b/pyproject.toml index eeeb6d3d3..12ffff1ff 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -7,7 +7,7 @@ requires-python = ">=3.9" license = "MIT" authors = [{ name = "OpenAI", email = "support@openai.com" }] dependencies = [ - "openai>=1.66.5", + "openai>=1.76.0", "pydantic>=2.10, <3", "griffe>=1.5.6, <2", "typing-extensions>=4.12.2, <5", diff --git a/src/agents/extensions/models/litellm_model.py b/src/agents/extensions/models/litellm_model.py index f5e7752fa..dc672acd4 100644 --- a/src/agents/extensions/models/litellm_model.py +++ b/src/agents/extensions/models/litellm_model.py @@ -1,6 +1,5 @@ from __future__ import annotations -import dataclasses import json import time from collections.abc import AsyncIterator @@ -75,7 +74,7 @@ async def get_response( ) -> ModelResponse: with generation_span( model=str(self.model), - model_config=dataclasses.asdict(model_settings) + model_config=model_settings.to_json_dict() | {"base_url": str(self.base_url or ""), "model_impl": "litellm"}, disabled=tracing.is_disabled(), ) as span_generation: @@ -147,7 +146,7 @@ async def stream_response( ) -> AsyncIterator[TResponseStreamEvent]: with generation_span( model=str(self.model), - model_config=dataclasses.asdict(model_settings) + model_config=model_settings.to_json_dict() | {"base_url": str(self.base_url or ""), "model_impl": "litellm"}, disabled=tracing.is_disabled(), ) as span_generation: diff --git a/src/agents/model_settings.py b/src/agents/model_settings.py index fee92b4e0..7b016c98f 100644 --- a/src/agents/model_settings.py +++ b/src/agents/model_settings.py @@ -1,10 +1,12 @@ from __future__ import annotations +import dataclasses from dataclasses import dataclass, fields, replace -from typing import Literal +from typing import Any, Literal from openai._types import Body, Headers, Query from openai.types.shared import Reasoning +from pydantic import BaseModel @dataclass @@ -83,3 +85,16 @@ def resolve(self, override: ModelSettings | None) -> ModelSettings: if getattr(override, field.name) is not None } return replace(self, **changes) + + def to_json_dict(self) -> dict[str, Any]: + dataclass_dict = dataclasses.asdict(self) + + json_dict: dict[str, Any] = {} + + for field_name, value in dataclass_dict.items(): + if isinstance(value, BaseModel): + json_dict[field_name] = value.model_dump(mode="json") + else: + json_dict[field_name] = value + + return json_dict diff --git a/src/agents/models/openai_chatcompletions.py b/src/agents/models/openai_chatcompletions.py index 15bf19cb3..89619f838 100644 --- a/src/agents/models/openai_chatcompletions.py +++ b/src/agents/models/openai_chatcompletions.py @@ -1,6 +1,5 @@ from __future__ import annotations -import dataclasses import json import time from collections.abc import AsyncIterator @@ -56,8 +55,7 @@ async def get_response( ) -> ModelResponse: with generation_span( model=str(self.model), - model_config=dataclasses.asdict(model_settings) - | {"base_url": str(self._client.base_url)}, + model_config=model_settings.to_json_dict() | {"base_url": str(self._client.base_url)}, disabled=tracing.is_disabled(), ) as span_generation: response = await self._fetch_response( @@ -121,8 +119,7 @@ async def stream_response( """ with generation_span( model=str(self.model), - model_config=dataclasses.asdict(model_settings) - | {"base_url": str(self._client.base_url)}, + model_config=model_settings.to_json_dict() | {"base_url": str(self._client.base_url)}, disabled=tracing.is_disabled(), ) as span_generation: response, stream = await self._fetch_response( diff --git a/tests/model_settings/test_serialization.py b/tests/model_settings/test_serialization.py new file mode 100644 index 000000000..d76a58d17 --- /dev/null +++ b/tests/model_settings/test_serialization.py @@ -0,0 +1,59 @@ +import json +from dataclasses import fields + +from openai.types.shared import Reasoning + +from agents.model_settings import ModelSettings + + +def verify_serialization(model_settings: ModelSettings) -> None: + """Verify that ModelSettings can be serialized to a JSON string.""" + json_dict = model_settings.to_json_dict() + json_string = json.dumps(json_dict) + assert json_string is not None + + +def test_basic_serialization() -> None: + """Tests whether ModelSettings can be serialized to a JSON string.""" + + # First, lets create a ModelSettings instance + model_settings = ModelSettings( + temperature=0.5, + top_p=0.9, + max_tokens=100, + ) + + # Now, lets serialize the ModelSettings instance to a JSON string + verify_serialization(model_settings) + + +def test_all_fields_serialization() -> None: + """Tests whether ModelSettings can be serialized to a JSON string.""" + + # First, lets create a ModelSettings instance + model_settings = ModelSettings( + temperature=0.5, + top_p=0.9, + frequency_penalty=0.0, + presence_penalty=0.0, + tool_choice="auto", + parallel_tool_calls=True, + truncation="auto", + max_tokens=100, + reasoning=Reasoning(), + metadata={"foo": "bar"}, + store=False, + include_usage=False, + extra_query={"foo": "bar"}, + extra_body={"foo": "bar"}, + extra_headers={"foo": "bar"}, + ) + + # Verify that every single field is set to a non-None value + for field in fields(model_settings): + assert getattr(model_settings, field.name) is not None, ( + f"You must set the {field.name} field" + ) + + # Now, lets serialize the ModelSettings instance to a JSON string + verify_serialization(model_settings) diff --git a/tests/voice/conftest.py b/tests/voice/conftest.py index 6ed7422ce..79d85d8b4 100644 --- a/tests/voice/conftest.py +++ b/tests/voice/conftest.py @@ -9,4 +9,3 @@ def pytest_ignore_collect(collection_path, config): if str(collection_path).startswith(this_dir): return True - diff --git a/uv.lock b/uv.lock index 3a737cf37..4c6c370ad 100644 --- a/uv.lock +++ b/uv.lock @@ -1463,7 +1463,7 @@ wheels = [ [[package]] name = "openai" -version = "1.74.0" +version = "1.76.0" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "anyio" }, @@ -1475,9 +1475,9 @@ dependencies = [ { name = "tqdm" }, { name = "typing-extensions" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/75/86/c605a6e84da0248f2cebfcd864b5a6076ecf78849245af5e11d2a5ec7977/openai-1.74.0.tar.gz", hash = "sha256:592c25b8747a7cad33a841958f5eb859a785caea9ee22b9e4f4a2ec062236526", size = 427571 } +sdist = { url = "https://files.pythonhosted.org/packages/84/51/817969ec969b73d8ddad085670ecd8a45ef1af1811d8c3b8a177ca4d1309/openai-1.76.0.tar.gz", hash = "sha256:fd2bfaf4608f48102d6b74f9e11c5ecaa058b60dad9c36e409c12477dfd91fb2", size = 434660 } wheels = [ - { url = "https://files.pythonhosted.org/packages/a9/91/8c150f16a96367e14bd7d20e86e0bbbec3080e3eb593e63f21a7f013f8e4/openai-1.74.0-py3-none-any.whl", hash = "sha256:aff3e0f9fb209836382ec112778667027f4fd6ae38bdb2334bc9e173598b092a", size = 644790 }, + { url = "https://files.pythonhosted.org/packages/59/aa/84e02ab500ca871eb8f62784426963a1c7c17a72fea3c7f268af4bbaafa5/openai-1.76.0-py3-none-any.whl", hash = "sha256:a712b50e78cf78e6d7b2a8f69c4978243517c2c36999756673e07a14ce37dc0a", size = 661201 }, ] [[package]] @@ -1538,7 +1538,7 @@ requires-dist = [ { name = "litellm", marker = "extra == 'litellm'", specifier = ">=1.65.0,<2" }, { name = "mcp", marker = "python_full_version >= '3.10'", specifier = ">=1.6.0,<2" }, { name = "numpy", marker = "python_full_version >= '3.10' and extra == 'voice'", specifier = ">=2.2.0,<3" }, - { name = "openai", specifier = ">=1.66.5" }, + { name = "openai", specifier = ">=1.76.0" }, { name = "pydantic", specifier = ">=2.10,<3" }, { name = "requests", specifier = ">=2.0,<3" }, { name = "types-requests", specifier = ">=2.0,<3" }, From 5f9e583d3dc77e856a660bc1aa46c50a41d839fa Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Thu, 24 Apr 2025 12:42:09 -0400 Subject: [PATCH 101/337] More tests for cancelling streamed run --- tests/fake_model.py | 5 +- tests/test_cancel_streaming.py | 98 +++++++++++++++++++++++++++++++++- 2 files changed, 100 insertions(+), 3 deletions(-) diff --git a/tests/fake_model.py b/tests/fake_model.py index c6b3ba924..da3019a0f 100644 --- a/tests/fake_model.py +++ b/tests/fake_model.py @@ -127,7 +127,10 @@ async def stream_response( ) -def get_response_obj(output: list[TResponseOutputItem], response_id: str | None = None) -> Response: +def get_response_obj( + output: list[TResponseOutputItem], + response_id: str | None = None, +) -> Response: return Response( id=response_id or "123", created_at=123, diff --git a/tests/test_cancel_streaming.py b/tests/test_cancel_streaming.py index 6d1807d7c..3417a3c5d 100644 --- a/tests/test_cancel_streaming.py +++ b/tests/test_cancel_streaming.py @@ -1,12 +1,15 @@ +import json + import pytest from agents import Agent, Runner from .fake_model import FakeModel +from .test_responses import get_function_tool, get_function_tool_call, get_text_message @pytest.mark.asyncio -async def test_joker_streamed_jokes_with_cancel(): +async def test_simple_streaming_with_cancel(): model = FakeModel() agent = Agent(name="Joker", model=model) @@ -16,7 +19,98 @@ async def test_joker_streamed_jokes_with_cancel(): async for _event in result.stream_events(): num_events += 1 - if num_events == 1: + if num_events == stop_after: result.cancel() assert num_events == 1, f"Expected {stop_after} visible events, but got {num_events}" + + +@pytest.mark.asyncio +async def test_multiple_events_streaming_with_cancel(): + model = FakeModel() + agent = Agent( + name="Joker", + model=model, + tools=[get_function_tool("foo", "tool_result")], + ) + + model.add_multiple_turn_outputs( + [ + # First turn: a message and tool call + [ + get_text_message("a_message"), + get_function_tool_call("foo", json.dumps({"a": "b"})), + ], + # Second turn: text message + [get_text_message("done")], + ] + ) + + result = Runner.run_streamed(agent, input="Please tell me 5 jokes.") + num_events = 0 + stop_after = 2 + + async for _ in result.stream_events(): + num_events += 1 + if num_events == stop_after: + result.cancel() + + assert num_events == stop_after, f"Expected {stop_after} visible events, but got {num_events}" + + +@pytest.mark.asyncio +async def test_cancel_prevents_further_events(): + model = FakeModel() + agent = Agent(name="Joker", model=model) + result = Runner.run_streamed(agent, input="Please tell me 5 jokes.") + events = [] + async for event in result.stream_events(): + events.append(event) + result.cancel() + break # Cancel after first event + # Try to get more events after cancel + more_events = [e async for e in result.stream_events()] + assert len(events) == 1 + assert more_events == [], "No events should be yielded after cancel()" + + +@pytest.mark.asyncio +async def test_cancel_is_idempotent(): + model = FakeModel() + agent = Agent(name="Joker", model=model) + result = Runner.run_streamed(agent, input="Please tell me 5 jokes.") + events = [] + async for event in result.stream_events(): + events.append(event) + result.cancel() + result.cancel() # Call cancel again + break + # Should not raise or misbehave + assert len(events) == 1 + + +@pytest.mark.asyncio +async def test_cancel_before_streaming(): + model = FakeModel() + agent = Agent(name="Joker", model=model) + result = Runner.run_streamed(agent, input="Please tell me 5 jokes.") + result.cancel() # Cancel before streaming + events = [e async for e in result.stream_events()] + assert events == [], "No events should be yielded if cancel() is called before streaming." + + +@pytest.mark.asyncio +async def test_cancel_cleans_up_resources(): + model = FakeModel() + agent = Agent(name="Joker", model=model) + result = Runner.run_streamed(agent, input="Please tell me 5 jokes.") + # Start streaming, then cancel + async for _ in result.stream_events(): + result.cancel() + break + # After cancel, queues should be empty and is_complete True + assert result.is_complete, "Result should be marked complete after cancel." + assert result._event_queue.empty(), "Event queue should be empty after cancel." + assert result._input_guardrail_queue.empty(), ( + "Input guardrail queue should be empty after cancel." + ) From e9667b360de8d3d97e9ef3d728a7709a5228d09e Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Thu, 24 Apr 2025 13:43:33 -0400 Subject: [PATCH 102/337] Allow previous_response_id to be passed to input guardrails --- src/agents/__init__.py | 6 +++++ src/agents/_run_impl.py | 3 ++- src/agents/guardrail.py | 56 +++++++++++++++++++++++++++++++---------- src/agents/run.py | 12 +++++++-- 4 files changed, 61 insertions(+), 16 deletions(-) diff --git a/src/agents/__init__.py b/src/agents/__init__.py index 6d7c90b4f..bfdf3c525 100644 --- a/src/agents/__init__.py +++ b/src/agents/__init__.py @@ -18,7 +18,10 @@ ) from .guardrail import ( GuardrailFunctionOutput, + InputGuardailInputs, InputGuardrail, + InputGuardrailFunction, + InputGuardrailFunctionLegacy, InputGuardrailResult, OutputGuardrail, OutputGuardrailResult, @@ -174,6 +177,9 @@ def enable_verbose_stdout_logging(): "OutputGuardrail", "OutputGuardrailResult", "GuardrailFunctionOutput", + "InputGuardailInputs", + "InputGuardrailFunction", + "InputGuardrailFunctionLegacy", "input_guardrail", "output_guardrail", "handoff", diff --git a/src/agents/_run_impl.py b/src/agents/_run_impl.py index b5a83685c..1a79612f7 100644 --- a/src/agents/_run_impl.py +++ b/src/agents/_run_impl.py @@ -688,10 +688,11 @@ async def run_single_input_guardrail( agent: Agent[Any], guardrail: InputGuardrail[TContext], input: str | list[TResponseInputItem], + previous_response_id: str | None, context: RunContextWrapper[TContext], ) -> InputGuardrailResult: with guardrail_span(guardrail.get_name()) as span_guardrail: - result = await guardrail.run(agent, input, context) + result = await guardrail.run(agent, input, context, previous_response_id) span_guardrail.span_data.triggered = result.output.tripwire_triggered return result diff --git a/src/agents/guardrail.py b/src/agents/guardrail.py index a96f0f7d7..caa60e39b 100644 --- a/src/agents/guardrail.py +++ b/src/agents/guardrail.py @@ -3,9 +3,9 @@ import inspect from collections.abc import Awaitable from dataclasses import dataclass -from typing import TYPE_CHECKING, Any, Callable, Generic, Union, overload +from typing import TYPE_CHECKING, Any, Callable, Generic, Union, cast, overload -from typing_extensions import TypeVar +from typing_extensions import TypeAlias, TypeVar from .exceptions import UserError from .items import TResponseInputItem @@ -68,6 +68,31 @@ class OutputGuardrailResult: """The output of the guardrail function.""" +InputGuardrailFunctionLegacy: TypeAlias = Callable[ + [RunContextWrapper[TContext], "Agent[Any]", Union[str, list[TResponseInputItem]]], + MaybeAwaitable[GuardrailFunctionOutput], +] +"""The legacy guardrail function signature, retained for backwards compatibility. Of the form: +def my_guardrail(ctx, agent, input) +""" + + +@dataclass +class InputGuardailInputs: + agent: Agent[Any] + input: str | list[TResponseInputItem] + previous_response_id: str | None + + +InputGuardrailFunction: TypeAlias = Callable[ + [RunContextWrapper[TContext], InputGuardailInputs], + MaybeAwaitable[GuardrailFunctionOutput], +] +"""The new guardrail function signature, of the form: +def my_guardrail(ctx, inputs) +""" + + @dataclass class InputGuardrail(Generic[TContext]): """Input guardrails are checks that run in parallel to the agent's execution. @@ -82,10 +107,7 @@ class InputGuardrail(Generic[TContext]): execution will immediately stop and a `InputGuardrailTripwireTriggered` exception will be raised """ - guardrail_function: Callable[ - [RunContextWrapper[TContext], Agent[Any], str | list[TResponseInputItem]], - MaybeAwaitable[GuardrailFunctionOutput], - ] + guardrail_function: InputGuardrailFunction[TContext] | InputGuardrailFunctionLegacy[TContext] """A function that receives the agent input and the context, and returns a `GuardrailResult`. The result marks whether the tripwire was triggered, and can optionally include information about the guardrail's output. @@ -107,11 +129,21 @@ async def run( agent: Agent[Any], input: str | list[TResponseInputItem], context: RunContextWrapper[TContext], + previous_response_id: str | None, ) -> InputGuardrailResult: if not callable(self.guardrail_function): raise UserError(f"Guardrail function must be callable, got {self.guardrail_function}") - output = self.guardrail_function(context, agent, input) + sig = inspect.signature(self.guardrail_function) + if len(sig.parameters) == 3: + # Legacy guardrail function + legacy_function = cast(InputGuardrailFunctionLegacy[TContext], self.guardrail_function) + output = legacy_function(context, agent, input) + else: + # New guardrail function + new_function = cast(InputGuardrailFunction[TContext], self.guardrail_function) + output = new_function(context, InputGuardailInputs(agent, input, previous_response_id)) + if inspect.isawaitable(output): return InputGuardrailResult( guardrail=self, @@ -182,13 +214,11 @@ async def run( TContext_co = TypeVar("TContext_co", bound=Any, covariant=True) # For InputGuardrail -_InputGuardrailFuncSync = Callable[ - [RunContextWrapper[TContext_co], "Agent[Any]", Union[str, list[TResponseInputItem]]], - GuardrailFunctionOutput, +_InputGuardrailFuncSync = Union[ + InputGuardrailFunctionLegacy[TContext_co], InputGuardrailFunction[TContext_co] ] -_InputGuardrailFuncAsync = Callable[ - [RunContextWrapper[TContext_co], "Agent[Any]", Union[str, list[TResponseInputItem]]], - Awaitable[GuardrailFunctionOutput], +_InputGuardrailFuncAsync = Union[ + InputGuardrailFunctionLegacy[TContext_co], InputGuardrailFunction[TContext_co] ] diff --git a/src/agents/run.py b/src/agents/run.py index 2af558d58..0ad93d712 100644 --- a/src/agents/run.py +++ b/src/agents/run.py @@ -221,6 +221,7 @@ async def run( starting_agent.input_guardrails + (run_config.input_guardrails or []), copy.deepcopy(input), + previous_response_id, context_wrapper, ), cls._run_single_turn( @@ -446,6 +447,7 @@ async def _run_input_guardrails_with_queue( agent: Agent[Any], guardrails: list[InputGuardrail[TContext]], input: str | list[TResponseInputItem], + previous_response_id: str | None, context: RunContextWrapper[TContext], streamed_result: RunResultStreaming, parent_span: Span[Any], @@ -455,7 +457,9 @@ async def _run_input_guardrails_with_queue( # We'll run the guardrails and push them onto the queue as they complete guardrail_tasks = [ asyncio.create_task( - RunImpl.run_single_input_guardrail(agent, guardrail, input, context) + RunImpl.run_single_input_guardrail( + agent, guardrail, input, previous_response_id, context + ) ) for guardrail in guardrails ] @@ -551,6 +555,7 @@ async def _run_streamed_impl( starting_agent, starting_agent.input_guardrails + (run_config.input_guardrails or []), copy.deepcopy(ItemHelpers.input_to_new_input_list(starting_input)), + previous_response_id, context_wrapper, streamed_result, current_span, @@ -825,6 +830,7 @@ async def _run_input_guardrails( agent: Agent[Any], guardrails: list[InputGuardrail[TContext]], input: str | list[TResponseInputItem], + previous_response_id: str | None, context: RunContextWrapper[TContext], ) -> list[InputGuardrailResult]: if not guardrails: @@ -832,7 +838,9 @@ async def _run_input_guardrails( guardrail_tasks = [ asyncio.create_task( - RunImpl.run_single_input_guardrail(agent, guardrail, input, context) + RunImpl.run_single_input_guardrail( + agent, guardrail, input, previous_response_id, context + ) ) for guardrail in guardrails ] From 9238c283fcad130b98d3960f9e1384ac7e3887e5 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Thu, 24 Apr 2025 13:43:33 -0400 Subject: [PATCH 103/337] Allow previous_response_id to be passed to input guardrails --- src/agents/__init__.py | 6 + src/agents/_run_impl.py | 3 +- src/agents/guardrail.py | 56 ++++-- src/agents/run.py | 12 +- tests/{ => guardrails}/test_guardrails.py | 45 ++++- tests/guardrails/test_new_input_guardrails.py | 184 ++++++++++++++++++ 6 files changed, 281 insertions(+), 25 deletions(-) rename tests/{ => guardrails}/test_guardrails.py (86%) create mode 100644 tests/guardrails/test_new_input_guardrails.py diff --git a/src/agents/__init__.py b/src/agents/__init__.py index 6d7c90b4f..bfdf3c525 100644 --- a/src/agents/__init__.py +++ b/src/agents/__init__.py @@ -18,7 +18,10 @@ ) from .guardrail import ( GuardrailFunctionOutput, + InputGuardailInputs, InputGuardrail, + InputGuardrailFunction, + InputGuardrailFunctionLegacy, InputGuardrailResult, OutputGuardrail, OutputGuardrailResult, @@ -174,6 +177,9 @@ def enable_verbose_stdout_logging(): "OutputGuardrail", "OutputGuardrailResult", "GuardrailFunctionOutput", + "InputGuardailInputs", + "InputGuardrailFunction", + "InputGuardrailFunctionLegacy", "input_guardrail", "output_guardrail", "handoff", diff --git a/src/agents/_run_impl.py b/src/agents/_run_impl.py index b5a83685c..1a79612f7 100644 --- a/src/agents/_run_impl.py +++ b/src/agents/_run_impl.py @@ -688,10 +688,11 @@ async def run_single_input_guardrail( agent: Agent[Any], guardrail: InputGuardrail[TContext], input: str | list[TResponseInputItem], + previous_response_id: str | None, context: RunContextWrapper[TContext], ) -> InputGuardrailResult: with guardrail_span(guardrail.get_name()) as span_guardrail: - result = await guardrail.run(agent, input, context) + result = await guardrail.run(agent, input, context, previous_response_id) span_guardrail.span_data.triggered = result.output.tripwire_triggered return result diff --git a/src/agents/guardrail.py b/src/agents/guardrail.py index a96f0f7d7..caa60e39b 100644 --- a/src/agents/guardrail.py +++ b/src/agents/guardrail.py @@ -3,9 +3,9 @@ import inspect from collections.abc import Awaitable from dataclasses import dataclass -from typing import TYPE_CHECKING, Any, Callable, Generic, Union, overload +from typing import TYPE_CHECKING, Any, Callable, Generic, Union, cast, overload -from typing_extensions import TypeVar +from typing_extensions import TypeAlias, TypeVar from .exceptions import UserError from .items import TResponseInputItem @@ -68,6 +68,31 @@ class OutputGuardrailResult: """The output of the guardrail function.""" +InputGuardrailFunctionLegacy: TypeAlias = Callable[ + [RunContextWrapper[TContext], "Agent[Any]", Union[str, list[TResponseInputItem]]], + MaybeAwaitable[GuardrailFunctionOutput], +] +"""The legacy guardrail function signature, retained for backwards compatibility. Of the form: +def my_guardrail(ctx, agent, input) +""" + + +@dataclass +class InputGuardailInputs: + agent: Agent[Any] + input: str | list[TResponseInputItem] + previous_response_id: str | None + + +InputGuardrailFunction: TypeAlias = Callable[ + [RunContextWrapper[TContext], InputGuardailInputs], + MaybeAwaitable[GuardrailFunctionOutput], +] +"""The new guardrail function signature, of the form: +def my_guardrail(ctx, inputs) +""" + + @dataclass class InputGuardrail(Generic[TContext]): """Input guardrails are checks that run in parallel to the agent's execution. @@ -82,10 +107,7 @@ class InputGuardrail(Generic[TContext]): execution will immediately stop and a `InputGuardrailTripwireTriggered` exception will be raised """ - guardrail_function: Callable[ - [RunContextWrapper[TContext], Agent[Any], str | list[TResponseInputItem]], - MaybeAwaitable[GuardrailFunctionOutput], - ] + guardrail_function: InputGuardrailFunction[TContext] | InputGuardrailFunctionLegacy[TContext] """A function that receives the agent input and the context, and returns a `GuardrailResult`. The result marks whether the tripwire was triggered, and can optionally include information about the guardrail's output. @@ -107,11 +129,21 @@ async def run( agent: Agent[Any], input: str | list[TResponseInputItem], context: RunContextWrapper[TContext], + previous_response_id: str | None, ) -> InputGuardrailResult: if not callable(self.guardrail_function): raise UserError(f"Guardrail function must be callable, got {self.guardrail_function}") - output = self.guardrail_function(context, agent, input) + sig = inspect.signature(self.guardrail_function) + if len(sig.parameters) == 3: + # Legacy guardrail function + legacy_function = cast(InputGuardrailFunctionLegacy[TContext], self.guardrail_function) + output = legacy_function(context, agent, input) + else: + # New guardrail function + new_function = cast(InputGuardrailFunction[TContext], self.guardrail_function) + output = new_function(context, InputGuardailInputs(agent, input, previous_response_id)) + if inspect.isawaitable(output): return InputGuardrailResult( guardrail=self, @@ -182,13 +214,11 @@ async def run( TContext_co = TypeVar("TContext_co", bound=Any, covariant=True) # For InputGuardrail -_InputGuardrailFuncSync = Callable[ - [RunContextWrapper[TContext_co], "Agent[Any]", Union[str, list[TResponseInputItem]]], - GuardrailFunctionOutput, +_InputGuardrailFuncSync = Union[ + InputGuardrailFunctionLegacy[TContext_co], InputGuardrailFunction[TContext_co] ] -_InputGuardrailFuncAsync = Callable[ - [RunContextWrapper[TContext_co], "Agent[Any]", Union[str, list[TResponseInputItem]]], - Awaitable[GuardrailFunctionOutput], +_InputGuardrailFuncAsync = Union[ + InputGuardrailFunctionLegacy[TContext_co], InputGuardrailFunction[TContext_co] ] diff --git a/src/agents/run.py b/src/agents/run.py index 2af558d58..0ad93d712 100644 --- a/src/agents/run.py +++ b/src/agents/run.py @@ -221,6 +221,7 @@ async def run( starting_agent.input_guardrails + (run_config.input_guardrails or []), copy.deepcopy(input), + previous_response_id, context_wrapper, ), cls._run_single_turn( @@ -446,6 +447,7 @@ async def _run_input_guardrails_with_queue( agent: Agent[Any], guardrails: list[InputGuardrail[TContext]], input: str | list[TResponseInputItem], + previous_response_id: str | None, context: RunContextWrapper[TContext], streamed_result: RunResultStreaming, parent_span: Span[Any], @@ -455,7 +457,9 @@ async def _run_input_guardrails_with_queue( # We'll run the guardrails and push them onto the queue as they complete guardrail_tasks = [ asyncio.create_task( - RunImpl.run_single_input_guardrail(agent, guardrail, input, context) + RunImpl.run_single_input_guardrail( + agent, guardrail, input, previous_response_id, context + ) ) for guardrail in guardrails ] @@ -551,6 +555,7 @@ async def _run_streamed_impl( starting_agent, starting_agent.input_guardrails + (run_config.input_guardrails or []), copy.deepcopy(ItemHelpers.input_to_new_input_list(starting_input)), + previous_response_id, context_wrapper, streamed_result, current_span, @@ -825,6 +830,7 @@ async def _run_input_guardrails( agent: Agent[Any], guardrails: list[InputGuardrail[TContext]], input: str | list[TResponseInputItem], + previous_response_id: str | None, context: RunContextWrapper[TContext], ) -> list[InputGuardrailResult]: if not guardrails: @@ -832,7 +838,9 @@ async def _run_input_guardrails( guardrail_tasks = [ asyncio.create_task( - RunImpl.run_single_input_guardrail(agent, guardrail, input, context) + RunImpl.run_single_input_guardrail( + agent, guardrail, input, previous_response_id, context + ) ) for guardrail in guardrails ] diff --git a/tests/test_guardrails.py b/tests/guardrails/test_guardrails.py similarity index 86% rename from tests/test_guardrails.py rename to tests/guardrails/test_guardrails.py index c9f318c32..bb37c8804 100644 --- a/tests/test_guardrails.py +++ b/tests/guardrails/test_guardrails.py @@ -32,14 +32,20 @@ def sync_guardrail( async def test_sync_input_guardrail(): guardrail = InputGuardrail(guardrail_function=get_sync_guardrail(triggers=False)) result = await guardrail.run( - agent=Agent(name="test"), input="test", context=RunContextWrapper(context=None) + agent=Agent(name="test"), + input="test", + context=RunContextWrapper(context=None), + previous_response_id=None, ) assert not result.output.tripwire_triggered assert result.output.output_info is None guardrail = InputGuardrail(guardrail_function=get_sync_guardrail(triggers=True)) result = await guardrail.run( - agent=Agent(name="test"), input="test", context=RunContextWrapper(context=None) + agent=Agent(name="test"), + input="test", + context=RunContextWrapper(context=None), + previous_response_id=None, ) assert result.output.tripwire_triggered assert result.output.output_info is None @@ -48,7 +54,10 @@ async def test_sync_input_guardrail(): guardrail_function=get_sync_guardrail(triggers=True, output_info="test") ) result = await guardrail.run( - agent=Agent(name="test"), input="test", context=RunContextWrapper(context=None) + agent=Agent(name="test"), + input="test", + context=RunContextWrapper(context=None), + previous_response_id=None, ) assert result.output.tripwire_triggered assert result.output.output_info == "test" @@ -70,14 +79,20 @@ async def async_guardrail( async def test_async_input_guardrail(): guardrail = InputGuardrail(guardrail_function=get_async_input_guardrail(triggers=False)) result = await guardrail.run( - agent=Agent(name="test"), input="test", context=RunContextWrapper(context=None) + agent=Agent(name="test"), + input="test", + context=RunContextWrapper(context=None), + previous_response_id=None, ) assert not result.output.tripwire_triggered assert result.output.output_info is None guardrail = InputGuardrail(guardrail_function=get_async_input_guardrail(triggers=True)) result = await guardrail.run( - agent=Agent(name="test"), input="test", context=RunContextWrapper(context=None) + agent=Agent(name="test"), + input="test", + context=RunContextWrapper(context=None), + previous_response_id=None, ) assert result.output.tripwire_triggered assert result.output.output_info is None @@ -86,7 +101,10 @@ async def test_async_input_guardrail(): guardrail_function=get_async_input_guardrail(triggers=True, output_info="test") ) result = await guardrail.run( - agent=Agent(name="test"), input="test", context=RunContextWrapper(context=None) + agent=Agent(name="test"), + input="test", + context=RunContextWrapper(context=None), + previous_response_id=None, ) assert result.output.tripwire_triggered assert result.output.output_info == "test" @@ -98,7 +116,10 @@ async def test_invalid_input_guardrail_raises_user_error(): # Purposely ignoring type error guardrail = InputGuardrail(guardrail_function="foo") # type: ignore await guardrail.run( - agent=Agent(name="test"), input="test", context=RunContextWrapper(context=None) + agent=Agent(name="test"), + input="test", + context=RunContextWrapper(context=None), + previous_response_id=None, ) @@ -210,14 +231,20 @@ def decorated_named_input_guardrail( async def test_input_guardrail_decorators(): guardrail = decorated_input_guardrail result = await guardrail.run( - agent=Agent(name="test"), input="test", context=RunContextWrapper(context=None) + agent=Agent(name="test"), + input="test", + previous_response_id=None, + context=RunContextWrapper(context=None), ) assert not result.output.tripwire_triggered assert result.output.output_info == "test_1" guardrail = decorated_named_input_guardrail result = await guardrail.run( - agent=Agent(name="test"), input="test", context=RunContextWrapper(context=None) + agent=Agent(name="test"), + input="test", + previous_response_id=None, + context=RunContextWrapper(context=None), ) assert not result.output.tripwire_triggered assert result.output.output_info == "test_2" diff --git a/tests/guardrails/test_new_input_guardrails.py b/tests/guardrails/test_new_input_guardrails.py new file mode 100644 index 000000000..0271aa5b6 --- /dev/null +++ b/tests/guardrails/test_new_input_guardrails.py @@ -0,0 +1,184 @@ +from __future__ import annotations + +from typing import Any + +import pytest + +from agents import ( + Agent, + GuardrailFunctionOutput, + InputGuardailInputs, + InputGuardrail, + RunContextWrapper, + TResponseInputItem, +) +from agents.guardrail import input_guardrail + + +def get_sync_guardrail(triggers: bool, output_info: Any | None = None): + def sync_guardrail(context: RunContextWrapper[Any], inputs: InputGuardailInputs): + assert inputs.agent is not None + assert inputs.input is not None + + return GuardrailFunctionOutput( + output_info=output_info, + tripwire_triggered=triggers, + ) + + return sync_guardrail + + +@pytest.mark.asyncio +async def test_sync_input_guardrail(): + guardrail = InputGuardrail(guardrail_function=get_sync_guardrail(triggers=False)) + result = await guardrail.run( + agent=Agent(name="test"), + input="test", + context=RunContextWrapper(context=None), + previous_response_id=None, + ) + assert not result.output.tripwire_triggered + assert result.output.output_info is None + + guardrail = InputGuardrail(guardrail_function=get_sync_guardrail(triggers=True)) + result = await guardrail.run( + agent=Agent(name="test"), + input="test", + context=RunContextWrapper(context=None), + previous_response_id=None, + ) + assert result.output.tripwire_triggered + assert result.output.output_info is None + + guardrail = InputGuardrail( + guardrail_function=get_sync_guardrail(triggers=True, output_info="test") + ) + result = await guardrail.run( + agent=Agent(name="test"), + input="test", + context=RunContextWrapper(context=None), + previous_response_id=None, + ) + assert result.output.tripwire_triggered + assert result.output.output_info == "test" + + +def get_async_input_guardrail(triggers: bool, output_info: Any | None = None): + async def async_guardrail(context: RunContextWrapper[Any], inputs: InputGuardailInputs): + assert inputs.agent is not None + assert inputs.input is not None + + return GuardrailFunctionOutput( + output_info=output_info, + tripwire_triggered=triggers, + ) + + return async_guardrail + + +@pytest.mark.asyncio +async def test_async_input_guardrail(): + guardrail = InputGuardrail(guardrail_function=get_async_input_guardrail(triggers=False)) + result = await guardrail.run( + agent=Agent(name="test"), + input="test", + context=RunContextWrapper(context=None), + previous_response_id=None, + ) + assert not result.output.tripwire_triggered + assert result.output.output_info is None + + guardrail = InputGuardrail(guardrail_function=get_async_input_guardrail(triggers=True)) + result = await guardrail.run( + agent=Agent(name="test"), + input="test", + context=RunContextWrapper(context=None), + previous_response_id=None, + ) + assert result.output.tripwire_triggered + assert result.output.output_info is None + + guardrail = InputGuardrail( + guardrail_function=get_async_input_guardrail(triggers=True, output_info="test") + ) + result = await guardrail.run( + agent=Agent(name="test"), + input="test", + context=RunContextWrapper(context=None), + previous_response_id=None, + ) + assert result.output.tripwire_triggered + assert result.output.output_info == "test" + + +@input_guardrail +def decorated_input_guardrail( + context: RunContextWrapper[Any], inputs: InputGuardailInputs +) -> GuardrailFunctionOutput: + assert inputs.agent is not None + assert inputs.input is not None + + return GuardrailFunctionOutput( + output_info="test_1", + tripwire_triggered=False, + ) + + +@input_guardrail(name="Custom name") +def decorated_named_input_guardrail( + context: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem] +) -> GuardrailFunctionOutput: + return GuardrailFunctionOutput( + output_info="test_2", + tripwire_triggered=False, + ) + + +@pytest.mark.asyncio +async def test_input_guardrail_decorators(): + guardrail = decorated_input_guardrail + result = await guardrail.run( + agent=Agent(name="test"), + input="test", + previous_response_id=None, + context=RunContextWrapper(context=None), + ) + assert not result.output.tripwire_triggered + assert result.output.output_info == "test_1" + + guardrail = decorated_named_input_guardrail + result = await guardrail.run( + agent=Agent(name="test"), + input="test", + previous_response_id=None, + context=RunContextWrapper(context=None), + ) + assert not result.output.tripwire_triggered + assert result.output.output_info == "test_2" + assert guardrail.get_name() == "Custom name" + + +@input_guardrail +def guardrail_with_previous_response_id( + context: RunContextWrapper[Any], inputs: InputGuardailInputs +) -> GuardrailFunctionOutput: + assert inputs.agent is not None + assert inputs.input is not None + assert inputs.previous_response_id is not None + return GuardrailFunctionOutput( + output_info="test_3", + tripwire_triggered=False, + ) + + +@pytest.mark.asyncio +async def test_guardrail_with_previous_response_id(): + guardrail = guardrail_with_previous_response_id + result = await guardrail.run( + agent=Agent(name="test"), + input="test", + previous_response_id="test", + context=RunContextWrapper(context=None), + ) + assert not result.output.tripwire_triggered + assert result.output.output_info == "test_3" From a3115371cb350c2edaed94045cd22222bec902d6 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Thu, 24 Apr 2025 14:53:02 -0400 Subject: [PATCH 104/337] v0.0.13 --- pyproject.toml | 2 +- uv.lock | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 12ffff1ff..c1ae467a2 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "openai-agents" -version = "0.0.12" +version = "0.0.13" description = "OpenAI Agents SDK" readme = "README.md" requires-python = ">=3.9" diff --git a/uv.lock b/uv.lock index 4c6c370ad..c6824a082 100644 --- a/uv.lock +++ b/uv.lock @@ -1482,7 +1482,7 @@ wheels = [ [[package]] name = "openai-agents" -version = "0.0.12" +version = "0.0.13" source = { editable = "." } dependencies = [ { name = "griffe" }, From e507637ebc2b06b352ef08b4a977ab4dd7839880 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Thu, 24 Apr 2025 15:52:48 -0400 Subject: [PATCH 105/337] Add usage to context in streaming --- src/agents/run.py | 1 + 1 file changed, 1 insertion(+) diff --git a/src/agents/run.py b/src/agents/run.py index 2af558d58..961dd5d8c 100644 --- a/src/agents/run.py +++ b/src/agents/run.py @@ -696,6 +696,7 @@ async def _run_single_turn_streamed( usage=usage, response_id=event.response.id, ) + context_wrapper.usage.add(usage) streamed_result._event_queue.put_nowait(RawResponsesStreamEvent(data=event)) From 4c8a0fc74fa488f70b7ce54e0895025117bf4899 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Thu, 24 Apr 2025 18:18:15 -0400 Subject: [PATCH 106/337] Add usage to context in streaming --- src/agents/result.py | 16 +++++++--------- src/agents/run.py | 3 +++ tests/fake_model.py | 19 ++++++++++++++++--- tests/test_result_cast.py | 3 ++- 4 files changed, 28 insertions(+), 13 deletions(-) diff --git a/src/agents/result.py b/src/agents/result.py index 1f1c78328..243db155c 100644 --- a/src/agents/result.py +++ b/src/agents/result.py @@ -15,6 +15,7 @@ from .guardrail import InputGuardrailResult, OutputGuardrailResult from .items import ItemHelpers, ModelResponse, RunItem, TResponseInputItem from .logger import logger +from .run_context import RunContextWrapper from .stream_events import StreamEvent from .tracing import Trace from .util._pretty_print import pretty_print_result, pretty_print_run_result_streaming @@ -50,6 +51,9 @@ class RunResultBase(abc.ABC): output_guardrail_results: list[OutputGuardrailResult] """Guardrail results for the final output of the agent.""" + context_wrapper: RunContextWrapper[Any] + """The context wrapper for the agent run.""" + @property @abc.abstractmethod def last_agent(self) -> Agent[Any]: @@ -75,9 +79,7 @@ def final_output_as(self, cls: type[T], raise_if_incorrect_type: bool = False) - def to_input_list(self) -> list[TResponseInputItem]: """Creates a new input list, merging the original input with all the new items generated.""" - original_items: list[TResponseInputItem] = ItemHelpers.input_to_new_input_list( - self.input - ) + original_items: list[TResponseInputItem] = ItemHelpers.input_to_new_input_list(self.input) new_items = [item.to_input_item() for item in self.new_items] return original_items + new_items @@ -206,17 +208,13 @@ async def stream_events(self) -> AsyncIterator[StreamEvent]: def _check_errors(self): if self.current_turn > self.max_turns: - self._stored_exception = MaxTurnsExceeded( - f"Max turns ({self.max_turns}) exceeded" - ) + self._stored_exception = MaxTurnsExceeded(f"Max turns ({self.max_turns}) exceeded") # Fetch all the completed guardrail results from the queue and raise if needed while not self._input_guardrail_queue.empty(): guardrail_result = self._input_guardrail_queue.get_nowait() if guardrail_result.output.tripwire_triggered: - self._stored_exception = InputGuardrailTripwireTriggered( - guardrail_result - ) + self._stored_exception = InputGuardrailTripwireTriggered(guardrail_result) # Check the tasks for any exceptions if self._run_impl_task and self._run_impl_task.done(): diff --git a/src/agents/run.py b/src/agents/run.py index 2af558d58..849da7bfc 100644 --- a/src/agents/run.py +++ b/src/agents/run.py @@ -270,6 +270,7 @@ async def run( _last_agent=current_agent, input_guardrail_results=input_guardrail_results, output_guardrail_results=output_guardrail_results, + context_wrapper=context_wrapper, ) elif isinstance(turn_result.next_step, NextStepHandoff): current_agent = cast(Agent[TContext], turn_result.next_step.new_agent) @@ -423,6 +424,7 @@ def run_streamed( output_guardrail_results=[], _current_agent_output_schema=output_schema, trace=new_trace, + context_wrapper=context_wrapper, ) # Kick off the actual agent loop in the background and return the streamed result object. @@ -696,6 +698,7 @@ async def _run_single_turn_streamed( usage=usage, response_id=event.response.id, ) + context_wrapper.usage.add(usage) streamed_result._event_queue.put_nowait(RawResponsesStreamEvent(data=event)) diff --git a/tests/fake_model.py b/tests/fake_model.py index da3019a0f..32f919ef1 100644 --- a/tests/fake_model.py +++ b/tests/fake_model.py @@ -3,7 +3,8 @@ from collections.abc import AsyncIterator from typing import Any -from openai.types.responses import Response, ResponseCompletedEvent +from openai.types.responses import Response, ResponseCompletedEvent, ResponseUsage +from openai.types.responses.response_usage import InputTokensDetails, OutputTokensDetails from agents.agent_output import AgentOutputSchemaBase from agents.handoffs import Handoff @@ -33,6 +34,10 @@ def __init__( ) self.tracing_enabled = tracing_enabled self.last_turn_args: dict[str, Any] = {} + self.hardcoded_usage: Usage | None = None + + def set_hardcoded_usage(self, usage: Usage): + self.hardcoded_usage = usage def set_next_output(self, output: list[TResponseOutputItem] | Exception): self.turn_outputs.append(output) @@ -83,7 +88,7 @@ async def get_response( return ModelResponse( output=output, - usage=Usage(), + usage=self.hardcoded_usage or Usage(), response_id=None, ) @@ -123,13 +128,14 @@ async def stream_response( yield ResponseCompletedEvent( type="response.completed", - response=get_response_obj(output), + response=get_response_obj(output, usage=self.hardcoded_usage), ) def get_response_obj( output: list[TResponseOutputItem], response_id: str | None = None, + usage: Usage | None = None, ) -> Response: return Response( id=response_id or "123", @@ -141,4 +147,11 @@ def get_response_obj( tools=[], top_p=None, parallel_tool_calls=False, + usage=ResponseUsage( + input_tokens=usage.input_tokens if usage else 0, + output_tokens=usage.output_tokens if usage else 0, + total_tokens=usage.total_tokens if usage else 0, + input_tokens_details=InputTokensDetails(cached_tokens=0), + output_tokens_details=OutputTokensDetails(reasoning_tokens=0), + ), ) diff --git a/tests/test_result_cast.py b/tests/test_result_cast.py index ec17e3275..c621e7352 100644 --- a/tests/test_result_cast.py +++ b/tests/test_result_cast.py @@ -3,7 +3,7 @@ import pytest from pydantic import BaseModel -from agents import Agent, RunResult +from agents import Agent, RunContextWrapper, RunResult def create_run_result(final_output: Any) -> RunResult: @@ -15,6 +15,7 @@ def create_run_result(final_output: Any) -> RunResult: input_guardrail_results=[], output_guardrail_results=[], _last_agent=Agent(name="test"), + context_wrapper=RunContextWrapper(context=None), ) From c0cfe62bb5b80f31f33382c988eb6f00eb516182 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Thu, 15 May 2025 10:20:07 -0400 Subject: [PATCH 107/337] v0.0.15 --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 87a707d3d..672258c42 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "openai-agents" -version = "0.0.14" +version = "0.0.15" description = "OpenAI Agents SDK" readme = "README.md" requires-python = ">=3.9" From 197c9e6c1ec262321281411fc5748b0199834540 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 21 May 2025 15:05:15 -0400 Subject: [PATCH 108/337] Upgrade openAI sdk version --- pyproject.toml | 2 +- src/agents/models/chatcmpl_stream_handler.py | 26 +++++++++++++++++++- src/agents/models/openai_responses.py | 16 ++++-------- tests/fake_model.py | 1 + tests/test_responses_tracing.py | 12 +++++++++ tests/voice/test_workflow.py | 2 ++ uv.lock | 10 ++++---- 7 files changed, 51 insertions(+), 18 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 672258c42..200ac2485 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -7,7 +7,7 @@ requires-python = ">=3.9" license = "MIT" authors = [{ name = "OpenAI", email = "support@openai.com" }] dependencies = [ - "openai>=1.76.0", + "openai>=1.81.0", "pydantic>=2.10, <3", "griffe>=1.5.6, <2", "typing-extensions>=4.12.2, <5", diff --git a/src/agents/models/chatcmpl_stream_handler.py b/src/agents/models/chatcmpl_stream_handler.py index c71adeb55..d18f5912a 100644 --- a/src/agents/models/chatcmpl_stream_handler.py +++ b/src/agents/models/chatcmpl_stream_handler.py @@ -38,6 +38,16 @@ class StreamingState: function_calls: dict[int, ResponseFunctionToolCall] = field(default_factory=dict) +class SequenceNumber: + def __init__(self): + self._sequence_number = 0 + + def get_and_increment(self) -> int: + num = self._sequence_number + self._sequence_number += 1 + return num + + class ChatCmplStreamHandler: @classmethod async def handle_stream( @@ -47,13 +57,14 @@ async def handle_stream( ) -> AsyncIterator[TResponseStreamEvent]: usage: CompletionUsage | None = None state = StreamingState() - + sequence_number = SequenceNumber() async for chunk in stream: if not state.started: state.started = True yield ResponseCreatedEvent( response=response, type="response.created", + sequence_number=sequence_number.get_and_increment(), ) # This is always set by the OpenAI API, but not by others e.g. LiteLLM @@ -89,6 +100,7 @@ async def handle_stream( item=assistant_item, output_index=0, type="response.output_item.added", + sequence_number=sequence_number.get_and_increment(), ) yield ResponseContentPartAddedEvent( content_index=state.text_content_index_and_output[0], @@ -100,6 +112,7 @@ async def handle_stream( annotations=[], ), type="response.content_part.added", + sequence_number=sequence_number.get_and_increment(), ) # Emit the delta for this segment of content yield ResponseTextDeltaEvent( @@ -108,6 +121,7 @@ async def handle_stream( item_id=FAKE_RESPONSES_ID, output_index=0, type="response.output_text.delta", + sequence_number=sequence_number.get_and_increment(), ) # Accumulate the text into the response part state.text_content_index_and_output[1].text += delta.content @@ -134,6 +148,7 @@ async def handle_stream( item=assistant_item, output_index=0, type="response.output_item.added", + sequence_number=sequence_number.get_and_increment(), ) yield ResponseContentPartAddedEvent( content_index=state.refusal_content_index_and_output[0], @@ -145,6 +160,7 @@ async def handle_stream( annotations=[], ), type="response.content_part.added", + sequence_number=sequence_number.get_and_increment(), ) # Emit the delta for this segment of refusal yield ResponseRefusalDeltaEvent( @@ -153,6 +169,7 @@ async def handle_stream( item_id=FAKE_RESPONSES_ID, output_index=0, type="response.refusal.delta", + sequence_number=sequence_number.get_and_increment(), ) # Accumulate the refusal string in the output part state.refusal_content_index_and_output[1].refusal += delta.refusal @@ -190,6 +207,7 @@ async def handle_stream( output_index=0, part=state.text_content_index_and_output[1], type="response.content_part.done", + sequence_number=sequence_number.get_and_increment(), ) if state.refusal_content_index_and_output: @@ -201,6 +219,7 @@ async def handle_stream( output_index=0, part=state.refusal_content_index_and_output[1], type="response.content_part.done", + sequence_number=sequence_number.get_and_increment(), ) # Actually send events for the function calls @@ -216,6 +235,7 @@ async def handle_stream( ), output_index=function_call_starting_index, type="response.output_item.added", + sequence_number=sequence_number.get_and_increment(), ) # Then, yield the args yield ResponseFunctionCallArgumentsDeltaEvent( @@ -223,6 +243,7 @@ async def handle_stream( item_id=FAKE_RESPONSES_ID, output_index=function_call_starting_index, type="response.function_call_arguments.delta", + sequence_number=sequence_number.get_and_increment(), ) # Finally, the ResponseOutputItemDone yield ResponseOutputItemDoneEvent( @@ -235,6 +256,7 @@ async def handle_stream( ), output_index=function_call_starting_index, type="response.output_item.done", + sequence_number=sequence_number.get_and_increment(), ) # Finally, send the Response completed event @@ -258,6 +280,7 @@ async def handle_stream( item=assistant_msg, output_index=0, type="response.output_item.done", + sequence_number=sequence_number.get_and_increment(), ) for function_call in state.function_calls.values(): @@ -289,4 +312,5 @@ async def handle_stream( yield ResponseCompletedEvent( response=final_response, type="response.completed", + sequence_number=sequence_number.get_and_increment(), ) diff --git a/src/agents/models/openai_responses.py b/src/agents/models/openai_responses.py index 6ec8f8f7b..cb6567909 100644 --- a/src/agents/models/openai_responses.py +++ b/src/agents/models/openai_responses.py @@ -10,6 +10,7 @@ from openai.types.responses import ( Response, ResponseCompletedEvent, + ResponseIncludable, ResponseStreamEvent, ResponseTextConfigParam, ToolParam, @@ -36,13 +37,6 @@ _USER_AGENT = f"Agents/Python {__version__}" _HEADERS = {"User-Agent": _USER_AGENT} -# From the Responses API -IncludeLiteral = Literal[ - "file_search_call.results", - "message.input_image.image_url", - "computer_call_output.output.image_url", -] - class OpenAIResponsesModel(Model): """ @@ -273,7 +267,7 @@ def _get_client(self) -> AsyncOpenAI: @dataclass class ConvertedTools: tools: list[ToolParam] - includes: list[IncludeLiteral] + includes: list[ResponseIncludable] class Converter: @@ -330,7 +324,7 @@ def convert_tools( handoffs: list[Handoff[Any]], ) -> ConvertedTools: converted_tools: list[ToolParam] = [] - includes: list[IncludeLiteral] = [] + includes: list[ResponseIncludable] = [] computer_tools = [tool for tool in tools if isinstance(tool, ComputerTool)] if len(computer_tools) > 1: @@ -348,7 +342,7 @@ def convert_tools( return ConvertedTools(tools=converted_tools, includes=includes) @classmethod - def _convert_tool(cls, tool: Tool) -> tuple[ToolParam, IncludeLiteral | None]: + def _convert_tool(cls, tool: Tool) -> tuple[ToolParam, ResponseIncludable | None]: """Returns converted tool and includes""" if isinstance(tool, FunctionTool): @@ -359,7 +353,7 @@ def _convert_tool(cls, tool: Tool) -> tuple[ToolParam, IncludeLiteral | None]: "type": "function", "description": tool.description, } - includes: IncludeLiteral | None = None + includes: ResponseIncludable | None = None elif isinstance(tool, WebSearchTool): ws: WebSearchToolParam = { "type": "web_search_preview", diff --git a/tests/fake_model.py b/tests/fake_model.py index 32f919ef1..9f0c83a2f 100644 --- a/tests/fake_model.py +++ b/tests/fake_model.py @@ -129,6 +129,7 @@ async def stream_response( yield ResponseCompletedEvent( type="response.completed", response=get_response_obj(output, usage=self.hardcoded_usage), + sequence_number=0, ) diff --git a/tests/test_responses_tracing.py b/tests/test_responses_tracing.py index dfac74bb9..1e45a5162 100644 --- a/tests/test_responses_tracing.py +++ b/tests/test_responses_tracing.py @@ -50,6 +50,7 @@ def __aiter__(self): yield ResponseCompletedEvent( type="response.completed", response=fake_model.get_response_obj(self.output), + sequence_number=0, ) @@ -201,6 +202,7 @@ async def __aiter__(self): yield ResponseCompletedEvent( type="response.completed", response=fake_model.get_response_obj([], "dummy-id-123"), + sequence_number=0, ) return DummyStream() @@ -253,6 +255,7 @@ async def __aiter__(self): yield ResponseCompletedEvent( type="response.completed", response=fake_model.get_response_obj([], "dummy-id-123"), + sequence_number=0, ) return DummyStream() @@ -304,6 +307,7 @@ async def __aiter__(self): yield ResponseCompletedEvent( type="response.completed", response=fake_model.get_response_obj([], "dummy-id-123"), + sequence_number=0, ) return DummyStream() @@ -326,3 +330,11 @@ async def __aiter__(self): assert fetch_normalized_spans() == snapshot([{"workflow_name": "test"}]) assert_no_spans() + + assert_no_spans() + + assert_no_spans() + + assert_no_spans() + + assert_no_spans() diff --git a/tests/voice/test_workflow.py b/tests/voice/test_workflow.py index 2bdf2a657..035a05d56 100644 --- a/tests/voice/test_workflow.py +++ b/tests/voice/test_workflow.py @@ -81,11 +81,13 @@ async def stream_response( type="response.output_text.delta", output_index=0, item_id=item.id, + sequence_number=0, ) yield ResponseCompletedEvent( type="response.completed", response=get_response_obj(output), + sequence_number=1, ) diff --git a/uv.lock b/uv.lock index 6ccc19966..7a0cb1e6b 100644 --- a/uv.lock +++ b/uv.lock @@ -1461,7 +1461,7 @@ wheels = [ [[package]] name = "openai" -version = "1.76.0" +version = "1.81.0" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "anyio" }, @@ -1473,14 +1473,14 @@ dependencies = [ { name = "tqdm" }, { name = "typing-extensions" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/84/51/817969ec969b73d8ddad085670ecd8a45ef1af1811d8c3b8a177ca4d1309/openai-1.76.0.tar.gz", hash = "sha256:fd2bfaf4608f48102d6b74f9e11c5ecaa058b60dad9c36e409c12477dfd91fb2", size = 434660 } +sdist = { url = "https://files.pythonhosted.org/packages/1c/89/a1e4f3fa7ca4f7fec90dbf47d93b7cd5ff65924926733af15044e302a192/openai-1.81.0.tar.gz", hash = "sha256:349567a8607e0bcffd28e02f96b5c2397d0d25d06732d90ab3ecbf97abf030f9", size = 456861 } wheels = [ - { url = "https://files.pythonhosted.org/packages/59/aa/84e02ab500ca871eb8f62784426963a1c7c17a72fea3c7f268af4bbaafa5/openai-1.76.0-py3-none-any.whl", hash = "sha256:a712b50e78cf78e6d7b2a8f69c4978243517c2c36999756673e07a14ce37dc0a", size = 661201 }, + { url = "https://files.pythonhosted.org/packages/02/66/bcc7f9bf48e8610a33e3b5c96a5a644dad032d92404ea2a5e8b43ba067e8/openai-1.81.0-py3-none-any.whl", hash = "sha256:1c71572e22b43876c5d7d65ade0b7b516bb527c3d44ae94111267a09125f7bae", size = 717529 }, ] [[package]] name = "openai-agents" -version = "0.0.14" +version = "0.0.15" source = { editable = "." } dependencies = [ { name = "griffe" }, @@ -1536,7 +1536,7 @@ requires-dist = [ { name = "litellm", marker = "extra == 'litellm'", specifier = ">=1.67.4.post1,<2" }, { name = "mcp", marker = "python_full_version >= '3.10'", specifier = ">=1.8.0,<2" }, { name = "numpy", marker = "python_full_version >= '3.10' and extra == 'voice'", specifier = ">=2.2.0,<3" }, - { name = "openai", specifier = ">=1.76.0" }, + { name = "openai", specifier = ">=1.81.0" }, { name = "pydantic", specifier = ">=2.10,<3" }, { name = "requests", specifier = ">=2.0,<3" }, { name = "types-requests", specifier = ">=2.0,<3" }, From aafa742383ccd30d4bab96cd82bb5fd074d1b542 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 21 May 2025 15:05:24 -0400 Subject: [PATCH 109/337] Hosted MCP support --- examples/hosted_mcp/__init__.py | 0 examples/hosted_mcp/approvals.py | 61 ++++++++++++++ examples/hosted_mcp/simple.py | 47 +++++++++++ src/agents/__init__.py | 8 ++ src/agents/_run_impl.py | 114 ++++++++++++++++++++++++-- src/agents/items.py | 41 ++++++++- src/agents/models/openai_responses.py | 6 +- src/agents/stream_events.py | 2 + src/agents/tool.py | 66 ++++++++++++++- 9 files changed, 333 insertions(+), 12 deletions(-) create mode 100644 examples/hosted_mcp/__init__.py create mode 100644 examples/hosted_mcp/approvals.py create mode 100644 examples/hosted_mcp/simple.py diff --git a/examples/hosted_mcp/__init__.py b/examples/hosted_mcp/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/examples/hosted_mcp/approvals.py b/examples/hosted_mcp/approvals.py new file mode 100644 index 000000000..2cabb3ee2 --- /dev/null +++ b/examples/hosted_mcp/approvals.py @@ -0,0 +1,61 @@ +import argparse +import asyncio + +from agents import ( + Agent, + HostedMCPTool, + MCPToolApprovalFunctionResult, + MCPToolApprovalRequest, + Runner, +) + +"""This example demonstrates how to use the hosted MCP support in the OpenAI Responses API, with +approval callbacks.""" + + +def approval_callback(request: MCPToolApprovalRequest) -> MCPToolApprovalFunctionResult: + answer = input(f"Approve running the tool `{request.data.name}`? (y/n) ") + result: MCPToolApprovalFunctionResult = {"approve": answer == "y"} + if not result["approve"]: + result["reason"] = "User denied" + return result + + +async def main(verbose: bool, stream: bool): + agent = Agent( + name="Assistant", + tools=[ + HostedMCPTool( + tool_config={ + "type": "mcp", + "server_label": "gitmcp", + "server_url": "https://gitmcp.io/openai/codex", + "require_approval": "always", + }, + on_approval_request=approval_callback, + ) + ], + ) + + if stream: + result = Runner.run_streamed(agent, "Which language is this repo written in?") + async for event in result.stream_events(): + if event.type == "run_item_stream_event": + print(f"Got event of type {event.item.__class__.__name__}") + print(f"Done streaming; final result: {result.final_output}") + else: + res = await Runner.run(agent, "Which language is this repo written in?") + print(res.final_output) + + if verbose: + for item in result.new_items: + print(item) + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument("--verbose", action="store_true", default=False) + parser.add_argument("--stream", action="store_true", default=False) + args = parser.parse_args() + + asyncio.run(main(args.verbose, args.stream)) diff --git a/examples/hosted_mcp/simple.py b/examples/hosted_mcp/simple.py new file mode 100644 index 000000000..508c3a7ae --- /dev/null +++ b/examples/hosted_mcp/simple.py @@ -0,0 +1,47 @@ +import argparse +import asyncio + +from agents import Agent, HostedMCPTool, Runner + +"""This example demonstrates how to use the hosted MCP support in the OpenAI Responses API, with +approvals not required for any tools. You should only use this for trusted MCP servers.""" + + +async def main(verbose: bool, stream: bool): + agent = Agent( + name="Assistant", + tools=[ + HostedMCPTool( + tool_config={ + "type": "mcp", + "server_label": "gitmcp", + "server_url": "https://gitmcp.io/openai/codex", + "require_approval": "never", + } + ) + ], + ) + + if stream: + result = Runner.run_streamed(agent, "Which language is this repo written in?") + async for event in result.stream_events(): + if event.type == "run_item_stream_event": + print(f"Got event of type {event.item.__class__.__name__}") + print(f"Done streaming; final result: {result.final_output}") + else: + res = await Runner.run(agent, "Which language is this repo written in?") + print(res.final_output) + # The repository is primarily written in multiple languages, including Rust and TypeScript... + + if verbose: + for item in result.new_items: + print(item) + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument("--verbose", action="store_true", default=False) + parser.add_argument("--stream", action="store_true", default=False) + args = parser.parse_args() + + asyncio.run(main(args.verbose, args.stream)) diff --git a/src/agents/__init__.py b/src/agents/__init__.py index 6d7c90b4f..36c26b80d 100644 --- a/src/agents/__init__.py +++ b/src/agents/__init__.py @@ -58,6 +58,10 @@ FileSearchTool, FunctionTool, FunctionToolResult, + HostedMCPTool, + MCPToolApprovalFunction, + MCPToolApprovalFunctionResult, + MCPToolApprovalRequest, Tool, WebSearchTool, default_tool_error_function, @@ -208,6 +212,10 @@ def enable_verbose_stdout_logging(): "FileSearchTool", "Tool", "WebSearchTool", + "HostedMCPTool", + "MCPToolApprovalFunction", + "MCPToolApprovalRequest", + "MCPToolApprovalFunctionResult", "function_tool", "Usage", "add_trace_processor", diff --git a/src/agents/_run_impl.py b/src/agents/_run_impl.py index b5a83685c..ab1e78797 100644 --- a/src/agents/_run_impl.py +++ b/src/agents/_run_impl.py @@ -25,7 +25,8 @@ ActionType, ActionWait, ) -from openai.types.responses.response_input_param import ComputerCallOutput +from openai.types.responses.response_input_param import ComputerCallOutput, McpApprovalResponse +from openai.types.responses.response_output_item import McpApprovalRequest, McpCall, McpListTools from openai.types.responses.response_reasoning_item import ResponseReasoningItem from .agent import Agent, ToolsToFinalOutputResult @@ -38,6 +39,9 @@ HandoffCallItem, HandoffOutputItem, ItemHelpers, + MCPApprovalRequestItem, + MCPApprovalResponseItem, + MCPListToolsItem, MessageOutputItem, ModelResponse, ReasoningItem, @@ -52,7 +56,14 @@ from .models.interface import ModelTracing from .run_context import RunContextWrapper, TContext from .stream_events import RunItemStreamEvent, StreamEvent -from .tool import ComputerTool, FunctionTool, FunctionToolResult, Tool +from .tool import ( + ComputerTool, + FunctionTool, + FunctionToolResult, + HostedMCPTool, + MCPToolApprovalRequest, + Tool, +) from .tracing import ( SpanError, Trace, @@ -112,6 +123,12 @@ class ToolRunComputerAction: computer_tool: ComputerTool +@dataclass +class ToolRunMCPApprovalRequest: + request_item: McpApprovalRequest + mcp_tool: HostedMCPTool + + @dataclass class ProcessedResponse: new_items: list[RunItem] @@ -119,8 +136,9 @@ class ProcessedResponse: functions: list[ToolRunFunction] computer_actions: list[ToolRunComputerAction] tools_used: list[str] # Names of all tools used, including hosted tools + mcp_approval_requests: list[ToolRunMCPApprovalRequest] # Only requests with callbacks - def has_tools_to_run(self) -> bool: + def has_tools_or_approvals_to_run(self) -> bool: # Handoffs, functions and computer actions need local processing # Hosted tools have already run, so there's nothing to do. return any( @@ -128,6 +146,7 @@ def has_tools_to_run(self) -> bool: self.handoffs, self.functions, self.computer_actions, + self.mcp_approval_requests, ] ) @@ -226,7 +245,16 @@ async def execute_tools_and_side_effects( new_step_items.extend([result.run_item for result in function_results]) new_step_items.extend(computer_results) - # Second, check if there are any handoffs + # Next, run the MCP approval requests + if processed_response.mcp_approval_requests: + approval_results = await cls.execute_mcp_approval_requests( + agent=agent, + approval_requests=processed_response.mcp_approval_requests, + context_wrapper=context_wrapper, + ) + new_step_items.extend(approval_results) + + # Next, check if there are any handoffs if run_handoffs := processed_response.handoffs: return await cls.execute_handoffs( agent=agent, @@ -240,7 +268,7 @@ async def execute_tools_and_side_effects( run_config=run_config, ) - # Third, we'll check if the tool use should result in a final output + # Next, we'll check if the tool use should result in a final output check_tool_use = await cls._check_for_final_output_from_tools( agent=agent, tool_results=function_results, @@ -295,7 +323,7 @@ async def execute_tools_and_side_effects( ) elif ( not output_schema or output_schema.is_plain_text() - ) and not processed_response.has_tools_to_run(): + ) and not processed_response.has_tools_or_approvals_to_run(): return await cls.execute_final_output( agent=agent, original_input=original_input, @@ -343,10 +371,16 @@ def process_model_response( run_handoffs = [] functions = [] computer_actions = [] + mcp_approval_requests = [] tools_used: list[str] = [] handoff_map = {handoff.tool_name: handoff for handoff in handoffs} function_map = {tool.name: tool for tool in all_tools if isinstance(tool, FunctionTool)} computer_tool = next((tool for tool in all_tools if isinstance(tool, ComputerTool)), None) + hosted_mcp_server_map = { + tool.tool_config["server_label"]: tool + for tool in all_tools + if isinstance(tool, HostedMCPTool) + } for output in response.output: if isinstance(output, ResponseOutputMessage): @@ -375,6 +409,34 @@ def process_model_response( computer_actions.append( ToolRunComputerAction(tool_call=output, computer_tool=computer_tool) ) + elif isinstance(output, McpApprovalRequest): + items.append(MCPApprovalRequestItem(raw_item=output, agent=agent)) + if output.server_label not in hosted_mcp_server_map: + _error_tracing.attach_error_to_current_span( + SpanError( + message="MCP server label not found", + data={"server_label": output.server_label}, + ) + ) + raise ModelBehaviorError(f"MCP server label {output.server_label} not found") + else: + server = hosted_mcp_server_map[output.server_label] + if server.on_approval_request: + mcp_approval_requests.append( + ToolRunMCPApprovalRequest( + request_item=output, + mcp_tool=server, + ) + ) + else: + logger.warning( + f"MCP server {output.server_label} has no on_approval_request hook" + ) + elif isinstance(output, McpListTools): + items.append(MCPListToolsItem(raw_item=output, agent=agent)) + elif isinstance(output, McpCall): + items.append(ToolCallItem(raw_item=output, agent=agent)) + tools_used.append(output.name) elif not isinstance(output, ResponseFunctionToolCall): logger.warning(f"Unexpected output type, ignoring: {type(output)}") continue @@ -417,6 +479,7 @@ def process_model_response( functions=functions, computer_actions=computer_actions, tools_used=tools_used, + mcp_approval_requests=mcp_approval_requests, ) @classmethod @@ -643,6 +706,40 @@ async def execute_handoffs( next_step=NextStepHandoff(new_agent), ) + @classmethod + async def execute_mcp_approval_requests( + cls, + *, + agent: Agent[TContext], + approval_requests: list[ToolRunMCPApprovalRequest], + context_wrapper: RunContextWrapper[TContext], + ) -> list[RunItem]: + async def run_single_approval(approval_request: ToolRunMCPApprovalRequest) -> RunItem: + callback = approval_request.mcp_tool.on_approval_request + assert callback is not None, "Callback is required for MCP approval requests" + maybe_awaitable_result = callback( + MCPToolApprovalRequest(context_wrapper, approval_request.request_item) + ) + if inspect.isawaitable(maybe_awaitable_result): + result = await maybe_awaitable_result + else: + result = maybe_awaitable_result + reason = result.get("reason", None) + raw_item: McpApprovalResponse = { + "approval_request_id": approval_request.request_item.id, + "approve": result["approve"], + "type": "mcp_approval_response", + } + if not result["approve"] and reason: + raw_item["reason"] = reason + return MCPApprovalResponseItem( + raw_item=raw_item, + agent=agent, + ) + + tasks = [run_single_approval(approval_request) for approval_request in approval_requests] + return await asyncio.gather(*tasks) + @classmethod async def execute_final_output( cls, @@ -727,6 +824,11 @@ def stream_step_result_to_queue( event = RunItemStreamEvent(item=item, name="tool_output") elif isinstance(item, ReasoningItem): event = RunItemStreamEvent(item=item, name="reasoning_item_created") + elif isinstance(item, MCPApprovalRequestItem): + event = RunItemStreamEvent(item=item, name="mcp_approval_requested") + elif isinstance(item, MCPListToolsItem): + event = RunItemStreamEvent(item=item, name="mcp_list_tools") + else: logger.warning(f"Unexpected item type: {type(item)}") event = None diff --git a/src/agents/items.py b/src/agents/items.py index 8fb2b52a3..65a911798 100644 --- a/src/agents/items.py +++ b/src/agents/items.py @@ -18,7 +18,12 @@ ResponseOutputText, ResponseStreamEvent, ) -from openai.types.responses.response_input_item_param import ComputerCallOutput, FunctionCallOutput +from openai.types.responses.response_input_item_param import ( + ComputerCallOutput, + FunctionCallOutput, + McpApprovalResponse, +) +from openai.types.responses.response_output_item import McpApprovalRequest, McpCall, McpListTools from openai.types.responses.response_reasoning_item import ResponseReasoningItem from pydantic import BaseModel from typing_extensions import TypeAlias @@ -108,6 +113,7 @@ class HandoffOutputItem(RunItemBase[TResponseInputItem]): ResponseComputerToolCall, ResponseFileSearchToolCall, ResponseFunctionWebSearch, + McpCall, ] """A type that represents a tool call item.""" @@ -147,6 +153,36 @@ class ReasoningItem(RunItemBase[ResponseReasoningItem]): type: Literal["reasoning_item"] = "reasoning_item" +@dataclass +class MCPListToolsItem(RunItemBase[McpListTools]): + """Represents a call to an MCP server to list tools.""" + + raw_item: McpListTools + """The raw MCP list tools call.""" + + type: Literal["mcp_list_tools_item"] = "mcp_list_tools_item" + + +@dataclass +class MCPApprovalRequestItem(RunItemBase[McpApprovalRequest]): + """Represents a request for MCP approval.""" + + raw_item: McpApprovalRequest + """The raw MCP approval request.""" + + type: Literal["mcp_approval_request_item"] = "mcp_approval_request_item" + + +@dataclass +class MCPApprovalResponseItem(RunItemBase[McpApprovalResponse]): + """Represents a response to an MCP approval request.""" + + raw_item: McpApprovalResponse + """The raw MCP approval response.""" + + type: Literal["mcp_approval_response_item"] = "mcp_approval_response_item" + + RunItem: TypeAlias = Union[ MessageOutputItem, HandoffCallItem, @@ -154,6 +190,9 @@ class ReasoningItem(RunItemBase[ResponseReasoningItem]): ToolCallItem, ToolCallOutputItem, ReasoningItem, + MCPListToolsItem, + MCPApprovalRequestItem, + MCPApprovalResponseItem, ] """An item generated by an agent.""" diff --git a/src/agents/models/openai_responses.py b/src/agents/models/openai_responses.py index cb6567909..65a4f5caf 100644 --- a/src/agents/models/openai_responses.py +++ b/src/agents/models/openai_responses.py @@ -24,7 +24,7 @@ from ..handoffs import Handoff from ..items import ItemHelpers, ModelResponse, TResponseInputItem from ..logger import logger -from ..tool import ComputerTool, FileSearchTool, FunctionTool, Tool, WebSearchTool +from ..tool import ComputerTool, FileSearchTool, FunctionTool, HostedMCPTool, Tool, WebSearchTool from ..tracing import SpanError, response_span from ..usage import Usage from ..version import __version__ @@ -383,7 +383,9 @@ def _convert_tool(cls, tool: Tool) -> tuple[ToolParam, ResponseIncludable | None "display_height": tool.computer.dimensions[1], } includes = None - + elif isinstance(tool, HostedMCPTool): + converted_tool = tool.tool_config + includes = None else: raise UserError(f"Unknown tool type: {type(tool)}, tool") diff --git a/src/agents/stream_events.py b/src/agents/stream_events.py index bd37d11f3..111d0b951 100644 --- a/src/agents/stream_events.py +++ b/src/agents/stream_events.py @@ -35,6 +35,8 @@ class RunItemStreamEvent: "tool_called", "tool_output", "reasoning_item_created", + "mcp_approval_requested", + "mcp_list_tools", ] """The name of the event.""" diff --git a/src/agents/tool.py b/src/agents/tool.py index c1c162423..b0195f078 100644 --- a/src/agents/tool.py +++ b/src/agents/tool.py @@ -4,12 +4,14 @@ import json from collections.abc import Awaitable from dataclasses import dataclass -from typing import Any, Callable, Literal, Union, overload +from typing import Any, Callable, Literal, NotRequired, Union, overload from openai.types.responses.file_search_tool_param import Filters, RankingOptions +from openai.types.responses.response_output_item import McpApprovalRequest +from openai.types.responses.tool_param import Mcp from openai.types.responses.web_search_tool_param import UserLocation from pydantic import ValidationError -from typing_extensions import Concatenate, ParamSpec +from typing_extensions import Concatenate, ParamSpec, TypedDict from . import _debug from .computer import AsyncComputer, Computer @@ -130,7 +132,55 @@ def name(self): return "computer_use_preview" -Tool = Union[FunctionTool, FileSearchTool, WebSearchTool, ComputerTool] +@dataclass +class MCPToolApprovalRequest: + """A request to approve a tool call.""" + + ctx_wrapper: RunContextWrapper[Any] + """The run context.""" + + data: McpApprovalRequest + """The data from the MCP tool approval request.""" + + +class MCPToolApprovalFunctionResult(TypedDict): + """The result of an MCP tool approval function.""" + + approve: bool + """Whether to approve the tool call.""" + + reason: NotRequired[str] + """An optional reason, if rejected.""" + + +MCPToolApprovalFunction = Callable[ + [MCPToolApprovalRequest], MaybeAwaitable[MCPToolApprovalFunctionResult] +] +"""A function that approves or rejects a tool call.""" + + +@dataclass +class HostedMCPTool: + """A tool that allows the LLM to use a remote MCP server. The LLM will automatically list and + call tools, without requiring a a round trip back to your code. + If you want to run MCP servers locally via stdio, in a VPC or other non-publicly-accessible + environment, or you just prefer to run tool calls locally, then you can instead use the servers + in `agents.mcp` and pass `Agent(mcp_servers=[...])` to the agent.""" + + tool_config: Mcp + """The MCP tool config, which includes the server URL and other settings.""" + + on_approval_request: MCPToolApprovalFunction | None = None + """An optional function that will be called if approval is requested for an MCP tool. If not + provided, you will need to manually add approvals/rejections to the input and call + `Runner.run(...)` again.""" + + @property + def name(self): + return "hosted_mcp" + + +Tool = Union[FunctionTool, FileSearchTool, WebSearchTool, ComputerTool, HostedMCPTool] """A tool that can be used in an agent.""" @@ -308,3 +358,13 @@ def decorator(real_func: ToolFunction[...]) -> FunctionTool: return _create_function_tool(real_func) return decorator + return decorator + return decorator + return decorator + return decorator + return decorator + return decorator + return decorator + return decorator + return decorator + return decorator From 2ee6726c9f9c00af8b0b37cef7ae728e990943f4 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 21 May 2025 15:05:24 -0400 Subject: [PATCH 110/337] Add support for local shell, image generator, code interpreter tools --- examples/tools/code_interpreter.py | 34 +++++++ examples/tools/image_generator.py | 54 +++++++++++ src/agents/__init__.py | 10 +++ src/agents/_run_impl.py | 124 +++++++++++++++++++++++++- src/agents/items.py | 21 ++++- src/agents/models/openai_responses.py | 35 +++++++- src/agents/tool.py | 76 +++++++++++++--- 7 files changed, 334 insertions(+), 20 deletions(-) create mode 100644 examples/tools/code_interpreter.py create mode 100644 examples/tools/image_generator.py diff --git a/examples/tools/code_interpreter.py b/examples/tools/code_interpreter.py new file mode 100644 index 000000000..a5843ce3f --- /dev/null +++ b/examples/tools/code_interpreter.py @@ -0,0 +1,34 @@ +import asyncio + +from agents import Agent, CodeInterpreterTool, Runner, trace + + +async def main(): + agent = Agent( + name="Code interpreter", + instructions="You love doing math.", + tools=[ + CodeInterpreterTool( + tool_config={"type": "code_interpreter", "container": {"type": "auto"}}, + ) + ], + ) + + with trace("Code interpreter example"): + print("Solving math problem...") + result = Runner.run_streamed(agent, "What is the square root of273 * 312821 plus 1782?") + async for event in result.stream_events(): + if ( + event.type == "run_item_stream_event" + and event.item.type == "tool_call_item" + and event.item.raw_item.type == "code_interpreter_call" + ): + print(f"Code interpreter code:\n```\n{event.item.raw_item.code}\n```\n") + elif event.type == "run_item_stream_event": + print(f"Other event: {event.item.type}") + + print(f"Final output: {result.final_output}") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/examples/tools/image_generator.py b/examples/tools/image_generator.py new file mode 100644 index 000000000..e62420500 --- /dev/null +++ b/examples/tools/image_generator.py @@ -0,0 +1,54 @@ +import asyncio +import base64 +import os +import subprocess +import sys +import tempfile + +from agents import Agent, ImageGenerationTool, Runner, trace + + +def open_file(path: str) -> None: + if sys.platform.startswith("darwin"): + subprocess.run(["open", path], check=False) # macOS + elif os.name == "nt": + os.startfile(path) # Windows + elif os.name == "posix": + subprocess.run(["xdg-open", path], check=False) # Linux/Unix + else: + print(f"Don't know how to open files on this platform: {sys.platform}") + + +async def main(): + agent = Agent( + name="Image generator", + instructions="You are a helpful agent.", + tools=[ + ImageGenerationTool( + tool_config={"type": "image_generation", "quality": "low"}, + ) + ], + ) + + with trace("Image generation example"): + print("Generating image, this may take a while...") + result = await Runner.run( + agent, "Create an image of a frog eating a pizza, comic book style." + ) + print(result.final_output) + for item in result.new_items: + if ( + item.type == "tool_call_item" + and item.raw_item.type == "image_generation_call" + and (img_result := item.raw_item.result) + ): + with tempfile.NamedTemporaryFile(suffix=".png", delete=False) as tmp: + tmp.write(base64.b64decode(img_result)) + temp_path = tmp.name + + # Open the image + open_file(temp_path) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/src/agents/__init__.py b/src/agents/__init__.py index 36c26b80d..58949157a 100644 --- a/src/agents/__init__.py +++ b/src/agents/__init__.py @@ -54,11 +54,16 @@ StreamEvent, ) from .tool import ( + CodeInterpreterTool, ComputerTool, FileSearchTool, FunctionTool, FunctionToolResult, HostedMCPTool, + ImageGenerationTool, + LocalShellCommandRequest, + LocalShellExecutor, + LocalShellTool, MCPToolApprovalFunction, MCPToolApprovalFunctionResult, MCPToolApprovalRequest, @@ -210,6 +215,11 @@ def enable_verbose_stdout_logging(): "FunctionToolResult", "ComputerTool", "FileSearchTool", + "CodeInterpreterTool", + "ImageGenerationTool", + "LocalShellCommandRequest", + "LocalShellExecutor", + "LocalShellTool", "Tool", "WebSearchTool", "HostedMCPTool", diff --git a/src/agents/_run_impl.py b/src/agents/_run_impl.py index ab1e78797..2cfa270e0 100644 --- a/src/agents/_run_impl.py +++ b/src/agents/_run_impl.py @@ -14,6 +14,9 @@ ResponseFunctionWebSearch, ResponseOutputMessage, ) +from openai.types.responses.response_code_interpreter_tool_call import ( + ResponseCodeInterpreterToolCall, +) from openai.types.responses.response_computer_tool_call import ( ActionClick, ActionDoubleClick, @@ -26,7 +29,12 @@ ActionWait, ) from openai.types.responses.response_input_param import ComputerCallOutput, McpApprovalResponse -from openai.types.responses.response_output_item import McpApprovalRequest, McpCall, McpListTools +from openai.types.responses.response_output_item import ( + ImageGenerationCall, + LocalShellCall, + McpApprovalRequest, + McpListTools, +) from openai.types.responses.response_reasoning_item import ResponseReasoningItem from .agent import Agent, ToolsToFinalOutputResult @@ -61,6 +69,8 @@ FunctionTool, FunctionToolResult, HostedMCPTool, + LocalShellCommandRequest, + LocalShellTool, MCPToolApprovalRequest, Tool, ) @@ -129,12 +139,19 @@ class ToolRunMCPApprovalRequest: mcp_tool: HostedMCPTool +@dataclass +class ToolRunLocalShellCall: + tool_call: LocalShellCall + local_shell_tool: LocalShellTool + + @dataclass class ProcessedResponse: new_items: list[RunItem] handoffs: list[ToolRunHandoff] functions: list[ToolRunFunction] computer_actions: list[ToolRunComputerAction] + local_shell_calls: list[ToolRunLocalShellCall] tools_used: list[str] # Names of all tools used, including hosted tools mcp_approval_requests: list[ToolRunMCPApprovalRequest] # Only requests with callbacks @@ -146,6 +163,7 @@ def has_tools_or_approvals_to_run(self) -> bool: self.handoffs, self.functions, self.computer_actions, + self.local_shell_calls, self.mcp_approval_requests, ] ) @@ -371,11 +389,15 @@ def process_model_response( run_handoffs = [] functions = [] computer_actions = [] + local_shell_calls = [] mcp_approval_requests = [] tools_used: list[str] = [] handoff_map = {handoff.tool_name: handoff for handoff in handoffs} function_map = {tool.name: tool for tool in all_tools if isinstance(tool, FunctionTool)} computer_tool = next((tool for tool in all_tools if isinstance(tool, ComputerTool)), None) + local_shell_tool = next( + (tool for tool in all_tools if isinstance(tool, LocalShellTool)), None + ) hosted_mcp_server_map = { tool.tool_config["server_label"]: tool for tool in all_tools @@ -434,9 +456,29 @@ def process_model_response( ) elif isinstance(output, McpListTools): items.append(MCPListToolsItem(raw_item=output, agent=agent)) - elif isinstance(output, McpCall): + elif isinstance(output, ImageGenerationCall): + items.append(ToolCallItem(raw_item=output, agent=agent)) + tools_used.append("image_generation") + elif isinstance(output, ResponseCodeInterpreterToolCall): items.append(ToolCallItem(raw_item=output, agent=agent)) - tools_used.append(output.name) + tools_used.append("code_interpreter") + elif isinstance(output, LocalShellCall): + items.append(ToolCallItem(raw_item=output, agent=agent)) + tools_used.append("local_shell") + if not local_shell_tool: + _error_tracing.attach_error_to_current_span( + SpanError( + message="Local shell tool not found", + data={}, + ) + ) + raise ModelBehaviorError( + "Model produced local shell call without a local shell tool." + ) + local_shell_calls.append( + ToolRunLocalShellCall(tool_call=output, local_shell_tool=local_shell_tool) + ) + elif not isinstance(output, ResponseFunctionToolCall): logger.warning(f"Unexpected output type, ignoring: {type(output)}") continue @@ -478,6 +520,7 @@ def process_model_response( handoffs=run_handoffs, functions=functions, computer_actions=computer_actions, + local_shell_calls=local_shell_calls, tools_used=tools_used, mcp_approval_requests=mcp_approval_requests, ) @@ -552,6 +595,30 @@ async def run_single_tool( for tool_run, result in zip(tool_runs, results) ] + @classmethod + async def execute_local_shell_calls( + cls, + *, + agent: Agent[TContext], + calls: list[ToolRunLocalShellCall], + context_wrapper: RunContextWrapper[TContext], + hooks: RunHooks[TContext], + config: RunConfig, + ) -> list[RunItem]: + results: list[RunItem] = [] + # Need to run these serially, because each call can affect the local shell state + for call in calls: + results.append( + await LocalShellAction.execute( + agent=agent, + call=call, + hooks=hooks, + context_wrapper=context_wrapper, + config=config, + ) + ) + return results + @classmethod async def execute_computer_actions( cls, @@ -1021,3 +1088,54 @@ async def _get_screenshot_async( await computer.wait() return await computer.screenshot() + + +class LocalShellAction: + @classmethod + async def execute( + cls, + *, + agent: Agent[TContext], + call: ToolRunLocalShellCall, + hooks: RunHooks[TContext], + context_wrapper: RunContextWrapper[TContext], + config: RunConfig, + ) -> RunItem: + await asyncio.gather( + hooks.on_tool_start(context_wrapper, agent, call.local_shell_tool), + ( + agent.hooks.on_tool_start(context_wrapper, agent, call.local_shell_tool) + if agent.hooks + else _coro.noop_coroutine() + ), + ) + + request = LocalShellCommandRequest( + ctx_wrapper=context_wrapper, + data=call.tool_call, + ) + output = call.local_shell_tool.executor(request) + if inspect.isawaitable(output): + result = await output + else: + result = output + + await asyncio.gather( + hooks.on_tool_end(context_wrapper, agent, call.local_shell_tool, result), + ( + agent.hooks.on_tool_end(context_wrapper, agent, call.local_shell_tool, result) + if agent.hooks + else _coro.noop_coroutine() + ), + ) + + return ToolCallOutputItem( + agent=agent, + output=output, + raw_item={ + "type": "local_shell_call_output", + "id": call.tool_call.call_id, + "output": result, + # "id": "out" + call.tool_call.id, # TODO remove this, it should be optional + }, + ) diff --git a/src/agents/items.py b/src/agents/items.py index 65a911798..64797ad22 100644 --- a/src/agents/items.py +++ b/src/agents/items.py @@ -18,12 +18,22 @@ ResponseOutputText, ResponseStreamEvent, ) +from openai.types.responses.response_code_interpreter_tool_call import ( + ResponseCodeInterpreterToolCall, +) from openai.types.responses.response_input_item_param import ( ComputerCallOutput, FunctionCallOutput, + LocalShellCallOutput, McpApprovalResponse, ) -from openai.types.responses.response_output_item import McpApprovalRequest, McpCall, McpListTools +from openai.types.responses.response_output_item import ( + ImageGenerationCall, + LocalShellCall, + McpApprovalRequest, + McpCall, + McpListTools, +) from openai.types.responses.response_reasoning_item import ResponseReasoningItem from pydantic import BaseModel from typing_extensions import TypeAlias @@ -114,6 +124,9 @@ class HandoffOutputItem(RunItemBase[TResponseInputItem]): ResponseFileSearchToolCall, ResponseFunctionWebSearch, McpCall, + ResponseCodeInterpreterToolCall, + ImageGenerationCall, + LocalShellCall, ] """A type that represents a tool call item.""" @@ -129,10 +142,12 @@ class ToolCallItem(RunItemBase[ToolCallItemTypes]): @dataclass -class ToolCallOutputItem(RunItemBase[Union[FunctionCallOutput, ComputerCallOutput]]): +class ToolCallOutputItem( + RunItemBase[Union[FunctionCallOutput, ComputerCallOutput, LocalShellCallOutput]] +): """Represents the output of a tool call.""" - raw_item: FunctionCallOutput | ComputerCallOutput + raw_item: FunctionCallOutput | ComputerCallOutput | LocalShellCallOutput """The raw item from the model.""" output: Any diff --git a/src/agents/models/openai_responses.py b/src/agents/models/openai_responses.py index 65a4f5caf..86c8e69cb 100644 --- a/src/agents/models/openai_responses.py +++ b/src/agents/models/openai_responses.py @@ -24,7 +24,17 @@ from ..handoffs import Handoff from ..items import ItemHelpers, ModelResponse, TResponseInputItem from ..logger import logger -from ..tool import ComputerTool, FileSearchTool, FunctionTool, HostedMCPTool, Tool, WebSearchTool +from ..tool import ( + CodeInterpreterTool, + ComputerTool, + FileSearchTool, + FunctionTool, + HostedMCPTool, + ImageGenerationTool, + LocalShellTool, + Tool, + WebSearchTool, +) from ..tracing import SpanError, response_span from ..usage import Usage from ..version import __version__ @@ -295,6 +305,18 @@ def convert_tool_choice( return { "type": "computer_use_preview", } + elif tool_choice == "image_generation": + return { + "type": "image_generation", + } + elif tool_choice == "code_interpreter": + return { + "type": "code_interpreter", + } + elif tool_choice == "mcp": + return { + "type": "mcp", + } else: return { "type": "function", @@ -386,6 +408,17 @@ def _convert_tool(cls, tool: Tool) -> tuple[ToolParam, ResponseIncludable | None elif isinstance(tool, HostedMCPTool): converted_tool = tool.tool_config includes = None + elif isinstance(tool, ImageGenerationTool): + converted_tool = tool.tool_config + includes = None + elif isinstance(tool, CodeInterpreterTool): + converted_tool = tool.tool_config + includes = None + elif isinstance(tool, LocalShellTool): + converted_tool = { + "type": "local_shell", + } + includes = None else: raise UserError(f"Unknown tool type: {type(tool)}, tool") diff --git a/src/agents/tool.py b/src/agents/tool.py index b0195f078..eaa40a214 100644 --- a/src/agents/tool.py +++ b/src/agents/tool.py @@ -7,8 +7,8 @@ from typing import Any, Callable, Literal, NotRequired, Union, overload from openai.types.responses.file_search_tool_param import Filters, RankingOptions -from openai.types.responses.response_output_item import McpApprovalRequest -from openai.types.responses.tool_param import Mcp +from openai.types.responses.response_output_item import LocalShellCall, McpApprovalRequest +from openai.types.responses.tool_param import CodeInterpreter, ImageGeneration, Mcp from openai.types.responses.web_search_tool_param import UserLocation from pydantic import ValidationError from typing_extensions import Concatenate, ParamSpec, TypedDict @@ -180,7 +180,67 @@ def name(self): return "hosted_mcp" -Tool = Union[FunctionTool, FileSearchTool, WebSearchTool, ComputerTool, HostedMCPTool] +@dataclass +class CodeInterpreterTool: + """A tool that allows the LLM to execute code in a sandboxed environment.""" + + tool_config: CodeInterpreter + """The tool config, which includes the container and other settings.""" + + @property + def name(self): + return "code_interpreter" + + +@dataclass +class ImageGenerationTool: + """A tool that allows the LLM to generate images.""" + + tool_config: ImageGeneration + """The tool config, which image generation settings.""" + + @property + def name(self): + return "image_generation" + + +@dataclass +class LocalShellCommandRequest: + """A request to execute a command on a shell.""" + + ctx_wrapper: RunContextWrapper[Any] + """The run context.""" + + data: LocalShellCall + """The data from the local shell tool call.""" + + +LocalShellExecutor = Callable[[LocalShellCommandRequest], MaybeAwaitable[str]] +"""A function that executes a command on a shell.""" + + +@dataclass +class LocalShellTool: + """A tool that allows the LLM to execute commands on a shell.""" + + executor: LocalShellExecutor + """A function that executes a command on a shell.""" + + @property + def name(self): + return "local_shell" + + +Tool = Union[ + FunctionTool, + FileSearchTool, + WebSearchTool, + ComputerTool, + HostedMCPTool, + LocalShellTool, + ImageGenerationTool, + CodeInterpreterTool, +] """A tool that can be used in an agent.""" @@ -358,13 +418,3 @@ def decorator(real_func: ToolFunction[...]) -> FunctionTool: return _create_function_tool(real_func) return decorator - return decorator - return decorator - return decorator - return decorator - return decorator - return decorator - return decorator - return decorator - return decorator - return decorator From 20aba894e772b39c438ee82320315067e9211ca9 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 21 May 2025 15:11:43 -0400 Subject: [PATCH 111/337] Upgrade openAI sdk version --- pyproject.toml | 2 +- src/agents/models/chatcmpl_stream_handler.py | 26 +++++++++++++++++++- src/agents/models/openai_responses.py | 16 ++++-------- tests/fake_model.py | 1 + tests/test_responses_tracing.py | 4 +++ tests/voice/test_workflow.py | 2 ++ uv.lock | 10 ++++---- 7 files changed, 43 insertions(+), 18 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 672258c42..200ac2485 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -7,7 +7,7 @@ requires-python = ">=3.9" license = "MIT" authors = [{ name = "OpenAI", email = "support@openai.com" }] dependencies = [ - "openai>=1.76.0", + "openai>=1.81.0", "pydantic>=2.10, <3", "griffe>=1.5.6, <2", "typing-extensions>=4.12.2, <5", diff --git a/src/agents/models/chatcmpl_stream_handler.py b/src/agents/models/chatcmpl_stream_handler.py index c71adeb55..d18f5912a 100644 --- a/src/agents/models/chatcmpl_stream_handler.py +++ b/src/agents/models/chatcmpl_stream_handler.py @@ -38,6 +38,16 @@ class StreamingState: function_calls: dict[int, ResponseFunctionToolCall] = field(default_factory=dict) +class SequenceNumber: + def __init__(self): + self._sequence_number = 0 + + def get_and_increment(self) -> int: + num = self._sequence_number + self._sequence_number += 1 + return num + + class ChatCmplStreamHandler: @classmethod async def handle_stream( @@ -47,13 +57,14 @@ async def handle_stream( ) -> AsyncIterator[TResponseStreamEvent]: usage: CompletionUsage | None = None state = StreamingState() - + sequence_number = SequenceNumber() async for chunk in stream: if not state.started: state.started = True yield ResponseCreatedEvent( response=response, type="response.created", + sequence_number=sequence_number.get_and_increment(), ) # This is always set by the OpenAI API, but not by others e.g. LiteLLM @@ -89,6 +100,7 @@ async def handle_stream( item=assistant_item, output_index=0, type="response.output_item.added", + sequence_number=sequence_number.get_and_increment(), ) yield ResponseContentPartAddedEvent( content_index=state.text_content_index_and_output[0], @@ -100,6 +112,7 @@ async def handle_stream( annotations=[], ), type="response.content_part.added", + sequence_number=sequence_number.get_and_increment(), ) # Emit the delta for this segment of content yield ResponseTextDeltaEvent( @@ -108,6 +121,7 @@ async def handle_stream( item_id=FAKE_RESPONSES_ID, output_index=0, type="response.output_text.delta", + sequence_number=sequence_number.get_and_increment(), ) # Accumulate the text into the response part state.text_content_index_and_output[1].text += delta.content @@ -134,6 +148,7 @@ async def handle_stream( item=assistant_item, output_index=0, type="response.output_item.added", + sequence_number=sequence_number.get_and_increment(), ) yield ResponseContentPartAddedEvent( content_index=state.refusal_content_index_and_output[0], @@ -145,6 +160,7 @@ async def handle_stream( annotations=[], ), type="response.content_part.added", + sequence_number=sequence_number.get_and_increment(), ) # Emit the delta for this segment of refusal yield ResponseRefusalDeltaEvent( @@ -153,6 +169,7 @@ async def handle_stream( item_id=FAKE_RESPONSES_ID, output_index=0, type="response.refusal.delta", + sequence_number=sequence_number.get_and_increment(), ) # Accumulate the refusal string in the output part state.refusal_content_index_and_output[1].refusal += delta.refusal @@ -190,6 +207,7 @@ async def handle_stream( output_index=0, part=state.text_content_index_and_output[1], type="response.content_part.done", + sequence_number=sequence_number.get_and_increment(), ) if state.refusal_content_index_and_output: @@ -201,6 +219,7 @@ async def handle_stream( output_index=0, part=state.refusal_content_index_and_output[1], type="response.content_part.done", + sequence_number=sequence_number.get_and_increment(), ) # Actually send events for the function calls @@ -216,6 +235,7 @@ async def handle_stream( ), output_index=function_call_starting_index, type="response.output_item.added", + sequence_number=sequence_number.get_and_increment(), ) # Then, yield the args yield ResponseFunctionCallArgumentsDeltaEvent( @@ -223,6 +243,7 @@ async def handle_stream( item_id=FAKE_RESPONSES_ID, output_index=function_call_starting_index, type="response.function_call_arguments.delta", + sequence_number=sequence_number.get_and_increment(), ) # Finally, the ResponseOutputItemDone yield ResponseOutputItemDoneEvent( @@ -235,6 +256,7 @@ async def handle_stream( ), output_index=function_call_starting_index, type="response.output_item.done", + sequence_number=sequence_number.get_and_increment(), ) # Finally, send the Response completed event @@ -258,6 +280,7 @@ async def handle_stream( item=assistant_msg, output_index=0, type="response.output_item.done", + sequence_number=sequence_number.get_and_increment(), ) for function_call in state.function_calls.values(): @@ -289,4 +312,5 @@ async def handle_stream( yield ResponseCompletedEvent( response=final_response, type="response.completed", + sequence_number=sequence_number.get_and_increment(), ) diff --git a/src/agents/models/openai_responses.py b/src/agents/models/openai_responses.py index 6ec8f8f7b..cb6567909 100644 --- a/src/agents/models/openai_responses.py +++ b/src/agents/models/openai_responses.py @@ -10,6 +10,7 @@ from openai.types.responses import ( Response, ResponseCompletedEvent, + ResponseIncludable, ResponseStreamEvent, ResponseTextConfigParam, ToolParam, @@ -36,13 +37,6 @@ _USER_AGENT = f"Agents/Python {__version__}" _HEADERS = {"User-Agent": _USER_AGENT} -# From the Responses API -IncludeLiteral = Literal[ - "file_search_call.results", - "message.input_image.image_url", - "computer_call_output.output.image_url", -] - class OpenAIResponsesModel(Model): """ @@ -273,7 +267,7 @@ def _get_client(self) -> AsyncOpenAI: @dataclass class ConvertedTools: tools: list[ToolParam] - includes: list[IncludeLiteral] + includes: list[ResponseIncludable] class Converter: @@ -330,7 +324,7 @@ def convert_tools( handoffs: list[Handoff[Any]], ) -> ConvertedTools: converted_tools: list[ToolParam] = [] - includes: list[IncludeLiteral] = [] + includes: list[ResponseIncludable] = [] computer_tools = [tool for tool in tools if isinstance(tool, ComputerTool)] if len(computer_tools) > 1: @@ -348,7 +342,7 @@ def convert_tools( return ConvertedTools(tools=converted_tools, includes=includes) @classmethod - def _convert_tool(cls, tool: Tool) -> tuple[ToolParam, IncludeLiteral | None]: + def _convert_tool(cls, tool: Tool) -> tuple[ToolParam, ResponseIncludable | None]: """Returns converted tool and includes""" if isinstance(tool, FunctionTool): @@ -359,7 +353,7 @@ def _convert_tool(cls, tool: Tool) -> tuple[ToolParam, IncludeLiteral | None]: "type": "function", "description": tool.description, } - includes: IncludeLiteral | None = None + includes: ResponseIncludable | None = None elif isinstance(tool, WebSearchTool): ws: WebSearchToolParam = { "type": "web_search_preview", diff --git a/tests/fake_model.py b/tests/fake_model.py index 32f919ef1..9f0c83a2f 100644 --- a/tests/fake_model.py +++ b/tests/fake_model.py @@ -129,6 +129,7 @@ async def stream_response( yield ResponseCompletedEvent( type="response.completed", response=get_response_obj(output, usage=self.hardcoded_usage), + sequence_number=0, ) diff --git a/tests/test_responses_tracing.py b/tests/test_responses_tracing.py index dfac74bb9..db24fe496 100644 --- a/tests/test_responses_tracing.py +++ b/tests/test_responses_tracing.py @@ -50,6 +50,7 @@ def __aiter__(self): yield ResponseCompletedEvent( type="response.completed", response=fake_model.get_response_obj(self.output), + sequence_number=0, ) @@ -201,6 +202,7 @@ async def __aiter__(self): yield ResponseCompletedEvent( type="response.completed", response=fake_model.get_response_obj([], "dummy-id-123"), + sequence_number=0, ) return DummyStream() @@ -253,6 +255,7 @@ async def __aiter__(self): yield ResponseCompletedEvent( type="response.completed", response=fake_model.get_response_obj([], "dummy-id-123"), + sequence_number=0, ) return DummyStream() @@ -304,6 +307,7 @@ async def __aiter__(self): yield ResponseCompletedEvent( type="response.completed", response=fake_model.get_response_obj([], "dummy-id-123"), + sequence_number=0, ) return DummyStream() diff --git a/tests/voice/test_workflow.py b/tests/voice/test_workflow.py index 2bdf2a657..035a05d56 100644 --- a/tests/voice/test_workflow.py +++ b/tests/voice/test_workflow.py @@ -81,11 +81,13 @@ async def stream_response( type="response.output_text.delta", output_index=0, item_id=item.id, + sequence_number=0, ) yield ResponseCompletedEvent( type="response.completed", response=get_response_obj(output), + sequence_number=1, ) diff --git a/uv.lock b/uv.lock index 6ccc19966..7a0cb1e6b 100644 --- a/uv.lock +++ b/uv.lock @@ -1461,7 +1461,7 @@ wheels = [ [[package]] name = "openai" -version = "1.76.0" +version = "1.81.0" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "anyio" }, @@ -1473,14 +1473,14 @@ dependencies = [ { name = "tqdm" }, { name = "typing-extensions" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/84/51/817969ec969b73d8ddad085670ecd8a45ef1af1811d8c3b8a177ca4d1309/openai-1.76.0.tar.gz", hash = "sha256:fd2bfaf4608f48102d6b74f9e11c5ecaa058b60dad9c36e409c12477dfd91fb2", size = 434660 } +sdist = { url = "https://files.pythonhosted.org/packages/1c/89/a1e4f3fa7ca4f7fec90dbf47d93b7cd5ff65924926733af15044e302a192/openai-1.81.0.tar.gz", hash = "sha256:349567a8607e0bcffd28e02f96b5c2397d0d25d06732d90ab3ecbf97abf030f9", size = 456861 } wheels = [ - { url = "https://files.pythonhosted.org/packages/59/aa/84e02ab500ca871eb8f62784426963a1c7c17a72fea3c7f268af4bbaafa5/openai-1.76.0-py3-none-any.whl", hash = "sha256:a712b50e78cf78e6d7b2a8f69c4978243517c2c36999756673e07a14ce37dc0a", size = 661201 }, + { url = "https://files.pythonhosted.org/packages/02/66/bcc7f9bf48e8610a33e3b5c96a5a644dad032d92404ea2a5e8b43ba067e8/openai-1.81.0-py3-none-any.whl", hash = "sha256:1c71572e22b43876c5d7d65ade0b7b516bb527c3d44ae94111267a09125f7bae", size = 717529 }, ] [[package]] name = "openai-agents" -version = "0.0.14" +version = "0.0.15" source = { editable = "." } dependencies = [ { name = "griffe" }, @@ -1536,7 +1536,7 @@ requires-dist = [ { name = "litellm", marker = "extra == 'litellm'", specifier = ">=1.67.4.post1,<2" }, { name = "mcp", marker = "python_full_version >= '3.10'", specifier = ">=1.8.0,<2" }, { name = "numpy", marker = "python_full_version >= '3.10' and extra == 'voice'", specifier = ">=2.2.0,<3" }, - { name = "openai", specifier = ">=1.76.0" }, + { name = "openai", specifier = ">=1.81.0" }, { name = "pydantic", specifier = ">=2.10,<3" }, { name = "requests", specifier = ">=2.0,<3" }, { name = "types-requests", specifier = ">=2.0,<3" }, From e72b7727da9998002111b83e0cfd605ccc37935d Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 21 May 2025 15:12:45 -0400 Subject: [PATCH 112/337] Hosted MCP support --- examples/hosted_mcp/__init__.py | 0 examples/hosted_mcp/approvals.py | 61 ++++++++++++++ examples/hosted_mcp/simple.py | 47 +++++++++++ src/agents/__init__.py | 8 ++ src/agents/_run_impl.py | 114 ++++++++++++++++++++++++-- src/agents/items.py | 41 ++++++++- src/agents/models/openai_responses.py | 6 +- src/agents/stream_events.py | 2 + src/agents/tool.py | 64 ++++++++++++++- 9 files changed, 332 insertions(+), 11 deletions(-) create mode 100644 examples/hosted_mcp/__init__.py create mode 100644 examples/hosted_mcp/approvals.py create mode 100644 examples/hosted_mcp/simple.py diff --git a/examples/hosted_mcp/__init__.py b/examples/hosted_mcp/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/examples/hosted_mcp/approvals.py b/examples/hosted_mcp/approvals.py new file mode 100644 index 000000000..2cabb3ee2 --- /dev/null +++ b/examples/hosted_mcp/approvals.py @@ -0,0 +1,61 @@ +import argparse +import asyncio + +from agents import ( + Agent, + HostedMCPTool, + MCPToolApprovalFunctionResult, + MCPToolApprovalRequest, + Runner, +) + +"""This example demonstrates how to use the hosted MCP support in the OpenAI Responses API, with +approval callbacks.""" + + +def approval_callback(request: MCPToolApprovalRequest) -> MCPToolApprovalFunctionResult: + answer = input(f"Approve running the tool `{request.data.name}`? (y/n) ") + result: MCPToolApprovalFunctionResult = {"approve": answer == "y"} + if not result["approve"]: + result["reason"] = "User denied" + return result + + +async def main(verbose: bool, stream: bool): + agent = Agent( + name="Assistant", + tools=[ + HostedMCPTool( + tool_config={ + "type": "mcp", + "server_label": "gitmcp", + "server_url": "https://gitmcp.io/openai/codex", + "require_approval": "always", + }, + on_approval_request=approval_callback, + ) + ], + ) + + if stream: + result = Runner.run_streamed(agent, "Which language is this repo written in?") + async for event in result.stream_events(): + if event.type == "run_item_stream_event": + print(f"Got event of type {event.item.__class__.__name__}") + print(f"Done streaming; final result: {result.final_output}") + else: + res = await Runner.run(agent, "Which language is this repo written in?") + print(res.final_output) + + if verbose: + for item in result.new_items: + print(item) + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument("--verbose", action="store_true", default=False) + parser.add_argument("--stream", action="store_true", default=False) + args = parser.parse_args() + + asyncio.run(main(args.verbose, args.stream)) diff --git a/examples/hosted_mcp/simple.py b/examples/hosted_mcp/simple.py new file mode 100644 index 000000000..508c3a7ae --- /dev/null +++ b/examples/hosted_mcp/simple.py @@ -0,0 +1,47 @@ +import argparse +import asyncio + +from agents import Agent, HostedMCPTool, Runner + +"""This example demonstrates how to use the hosted MCP support in the OpenAI Responses API, with +approvals not required for any tools. You should only use this for trusted MCP servers.""" + + +async def main(verbose: bool, stream: bool): + agent = Agent( + name="Assistant", + tools=[ + HostedMCPTool( + tool_config={ + "type": "mcp", + "server_label": "gitmcp", + "server_url": "https://gitmcp.io/openai/codex", + "require_approval": "never", + } + ) + ], + ) + + if stream: + result = Runner.run_streamed(agent, "Which language is this repo written in?") + async for event in result.stream_events(): + if event.type == "run_item_stream_event": + print(f"Got event of type {event.item.__class__.__name__}") + print(f"Done streaming; final result: {result.final_output}") + else: + res = await Runner.run(agent, "Which language is this repo written in?") + print(res.final_output) + # The repository is primarily written in multiple languages, including Rust and TypeScript... + + if verbose: + for item in result.new_items: + print(item) + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument("--verbose", action="store_true", default=False) + parser.add_argument("--stream", action="store_true", default=False) + args = parser.parse_args() + + asyncio.run(main(args.verbose, args.stream)) diff --git a/src/agents/__init__.py b/src/agents/__init__.py index 6d7c90b4f..36c26b80d 100644 --- a/src/agents/__init__.py +++ b/src/agents/__init__.py @@ -58,6 +58,10 @@ FileSearchTool, FunctionTool, FunctionToolResult, + HostedMCPTool, + MCPToolApprovalFunction, + MCPToolApprovalFunctionResult, + MCPToolApprovalRequest, Tool, WebSearchTool, default_tool_error_function, @@ -208,6 +212,10 @@ def enable_verbose_stdout_logging(): "FileSearchTool", "Tool", "WebSearchTool", + "HostedMCPTool", + "MCPToolApprovalFunction", + "MCPToolApprovalRequest", + "MCPToolApprovalFunctionResult", "function_tool", "Usage", "add_trace_processor", diff --git a/src/agents/_run_impl.py b/src/agents/_run_impl.py index b5a83685c..ab1e78797 100644 --- a/src/agents/_run_impl.py +++ b/src/agents/_run_impl.py @@ -25,7 +25,8 @@ ActionType, ActionWait, ) -from openai.types.responses.response_input_param import ComputerCallOutput +from openai.types.responses.response_input_param import ComputerCallOutput, McpApprovalResponse +from openai.types.responses.response_output_item import McpApprovalRequest, McpCall, McpListTools from openai.types.responses.response_reasoning_item import ResponseReasoningItem from .agent import Agent, ToolsToFinalOutputResult @@ -38,6 +39,9 @@ HandoffCallItem, HandoffOutputItem, ItemHelpers, + MCPApprovalRequestItem, + MCPApprovalResponseItem, + MCPListToolsItem, MessageOutputItem, ModelResponse, ReasoningItem, @@ -52,7 +56,14 @@ from .models.interface import ModelTracing from .run_context import RunContextWrapper, TContext from .stream_events import RunItemStreamEvent, StreamEvent -from .tool import ComputerTool, FunctionTool, FunctionToolResult, Tool +from .tool import ( + ComputerTool, + FunctionTool, + FunctionToolResult, + HostedMCPTool, + MCPToolApprovalRequest, + Tool, +) from .tracing import ( SpanError, Trace, @@ -112,6 +123,12 @@ class ToolRunComputerAction: computer_tool: ComputerTool +@dataclass +class ToolRunMCPApprovalRequest: + request_item: McpApprovalRequest + mcp_tool: HostedMCPTool + + @dataclass class ProcessedResponse: new_items: list[RunItem] @@ -119,8 +136,9 @@ class ProcessedResponse: functions: list[ToolRunFunction] computer_actions: list[ToolRunComputerAction] tools_used: list[str] # Names of all tools used, including hosted tools + mcp_approval_requests: list[ToolRunMCPApprovalRequest] # Only requests with callbacks - def has_tools_to_run(self) -> bool: + def has_tools_or_approvals_to_run(self) -> bool: # Handoffs, functions and computer actions need local processing # Hosted tools have already run, so there's nothing to do. return any( @@ -128,6 +146,7 @@ def has_tools_to_run(self) -> bool: self.handoffs, self.functions, self.computer_actions, + self.mcp_approval_requests, ] ) @@ -226,7 +245,16 @@ async def execute_tools_and_side_effects( new_step_items.extend([result.run_item for result in function_results]) new_step_items.extend(computer_results) - # Second, check if there are any handoffs + # Next, run the MCP approval requests + if processed_response.mcp_approval_requests: + approval_results = await cls.execute_mcp_approval_requests( + agent=agent, + approval_requests=processed_response.mcp_approval_requests, + context_wrapper=context_wrapper, + ) + new_step_items.extend(approval_results) + + # Next, check if there are any handoffs if run_handoffs := processed_response.handoffs: return await cls.execute_handoffs( agent=agent, @@ -240,7 +268,7 @@ async def execute_tools_and_side_effects( run_config=run_config, ) - # Third, we'll check if the tool use should result in a final output + # Next, we'll check if the tool use should result in a final output check_tool_use = await cls._check_for_final_output_from_tools( agent=agent, tool_results=function_results, @@ -295,7 +323,7 @@ async def execute_tools_and_side_effects( ) elif ( not output_schema or output_schema.is_plain_text() - ) and not processed_response.has_tools_to_run(): + ) and not processed_response.has_tools_or_approvals_to_run(): return await cls.execute_final_output( agent=agent, original_input=original_input, @@ -343,10 +371,16 @@ def process_model_response( run_handoffs = [] functions = [] computer_actions = [] + mcp_approval_requests = [] tools_used: list[str] = [] handoff_map = {handoff.tool_name: handoff for handoff in handoffs} function_map = {tool.name: tool for tool in all_tools if isinstance(tool, FunctionTool)} computer_tool = next((tool for tool in all_tools if isinstance(tool, ComputerTool)), None) + hosted_mcp_server_map = { + tool.tool_config["server_label"]: tool + for tool in all_tools + if isinstance(tool, HostedMCPTool) + } for output in response.output: if isinstance(output, ResponseOutputMessage): @@ -375,6 +409,34 @@ def process_model_response( computer_actions.append( ToolRunComputerAction(tool_call=output, computer_tool=computer_tool) ) + elif isinstance(output, McpApprovalRequest): + items.append(MCPApprovalRequestItem(raw_item=output, agent=agent)) + if output.server_label not in hosted_mcp_server_map: + _error_tracing.attach_error_to_current_span( + SpanError( + message="MCP server label not found", + data={"server_label": output.server_label}, + ) + ) + raise ModelBehaviorError(f"MCP server label {output.server_label} not found") + else: + server = hosted_mcp_server_map[output.server_label] + if server.on_approval_request: + mcp_approval_requests.append( + ToolRunMCPApprovalRequest( + request_item=output, + mcp_tool=server, + ) + ) + else: + logger.warning( + f"MCP server {output.server_label} has no on_approval_request hook" + ) + elif isinstance(output, McpListTools): + items.append(MCPListToolsItem(raw_item=output, agent=agent)) + elif isinstance(output, McpCall): + items.append(ToolCallItem(raw_item=output, agent=agent)) + tools_used.append(output.name) elif not isinstance(output, ResponseFunctionToolCall): logger.warning(f"Unexpected output type, ignoring: {type(output)}") continue @@ -417,6 +479,7 @@ def process_model_response( functions=functions, computer_actions=computer_actions, tools_used=tools_used, + mcp_approval_requests=mcp_approval_requests, ) @classmethod @@ -643,6 +706,40 @@ async def execute_handoffs( next_step=NextStepHandoff(new_agent), ) + @classmethod + async def execute_mcp_approval_requests( + cls, + *, + agent: Agent[TContext], + approval_requests: list[ToolRunMCPApprovalRequest], + context_wrapper: RunContextWrapper[TContext], + ) -> list[RunItem]: + async def run_single_approval(approval_request: ToolRunMCPApprovalRequest) -> RunItem: + callback = approval_request.mcp_tool.on_approval_request + assert callback is not None, "Callback is required for MCP approval requests" + maybe_awaitable_result = callback( + MCPToolApprovalRequest(context_wrapper, approval_request.request_item) + ) + if inspect.isawaitable(maybe_awaitable_result): + result = await maybe_awaitable_result + else: + result = maybe_awaitable_result + reason = result.get("reason", None) + raw_item: McpApprovalResponse = { + "approval_request_id": approval_request.request_item.id, + "approve": result["approve"], + "type": "mcp_approval_response", + } + if not result["approve"] and reason: + raw_item["reason"] = reason + return MCPApprovalResponseItem( + raw_item=raw_item, + agent=agent, + ) + + tasks = [run_single_approval(approval_request) for approval_request in approval_requests] + return await asyncio.gather(*tasks) + @classmethod async def execute_final_output( cls, @@ -727,6 +824,11 @@ def stream_step_result_to_queue( event = RunItemStreamEvent(item=item, name="tool_output") elif isinstance(item, ReasoningItem): event = RunItemStreamEvent(item=item, name="reasoning_item_created") + elif isinstance(item, MCPApprovalRequestItem): + event = RunItemStreamEvent(item=item, name="mcp_approval_requested") + elif isinstance(item, MCPListToolsItem): + event = RunItemStreamEvent(item=item, name="mcp_list_tools") + else: logger.warning(f"Unexpected item type: {type(item)}") event = None diff --git a/src/agents/items.py b/src/agents/items.py index 8fb2b52a3..65a911798 100644 --- a/src/agents/items.py +++ b/src/agents/items.py @@ -18,7 +18,12 @@ ResponseOutputText, ResponseStreamEvent, ) -from openai.types.responses.response_input_item_param import ComputerCallOutput, FunctionCallOutput +from openai.types.responses.response_input_item_param import ( + ComputerCallOutput, + FunctionCallOutput, + McpApprovalResponse, +) +from openai.types.responses.response_output_item import McpApprovalRequest, McpCall, McpListTools from openai.types.responses.response_reasoning_item import ResponseReasoningItem from pydantic import BaseModel from typing_extensions import TypeAlias @@ -108,6 +113,7 @@ class HandoffOutputItem(RunItemBase[TResponseInputItem]): ResponseComputerToolCall, ResponseFileSearchToolCall, ResponseFunctionWebSearch, + McpCall, ] """A type that represents a tool call item.""" @@ -147,6 +153,36 @@ class ReasoningItem(RunItemBase[ResponseReasoningItem]): type: Literal["reasoning_item"] = "reasoning_item" +@dataclass +class MCPListToolsItem(RunItemBase[McpListTools]): + """Represents a call to an MCP server to list tools.""" + + raw_item: McpListTools + """The raw MCP list tools call.""" + + type: Literal["mcp_list_tools_item"] = "mcp_list_tools_item" + + +@dataclass +class MCPApprovalRequestItem(RunItemBase[McpApprovalRequest]): + """Represents a request for MCP approval.""" + + raw_item: McpApprovalRequest + """The raw MCP approval request.""" + + type: Literal["mcp_approval_request_item"] = "mcp_approval_request_item" + + +@dataclass +class MCPApprovalResponseItem(RunItemBase[McpApprovalResponse]): + """Represents a response to an MCP approval request.""" + + raw_item: McpApprovalResponse + """The raw MCP approval response.""" + + type: Literal["mcp_approval_response_item"] = "mcp_approval_response_item" + + RunItem: TypeAlias = Union[ MessageOutputItem, HandoffCallItem, @@ -154,6 +190,9 @@ class ReasoningItem(RunItemBase[ResponseReasoningItem]): ToolCallItem, ToolCallOutputItem, ReasoningItem, + MCPListToolsItem, + MCPApprovalRequestItem, + MCPApprovalResponseItem, ] """An item generated by an agent.""" diff --git a/src/agents/models/openai_responses.py b/src/agents/models/openai_responses.py index cb6567909..65a4f5caf 100644 --- a/src/agents/models/openai_responses.py +++ b/src/agents/models/openai_responses.py @@ -24,7 +24,7 @@ from ..handoffs import Handoff from ..items import ItemHelpers, ModelResponse, TResponseInputItem from ..logger import logger -from ..tool import ComputerTool, FileSearchTool, FunctionTool, Tool, WebSearchTool +from ..tool import ComputerTool, FileSearchTool, FunctionTool, HostedMCPTool, Tool, WebSearchTool from ..tracing import SpanError, response_span from ..usage import Usage from ..version import __version__ @@ -383,7 +383,9 @@ def _convert_tool(cls, tool: Tool) -> tuple[ToolParam, ResponseIncludable | None "display_height": tool.computer.dimensions[1], } includes = None - + elif isinstance(tool, HostedMCPTool): + converted_tool = tool.tool_config + includes = None else: raise UserError(f"Unknown tool type: {type(tool)}, tool") diff --git a/src/agents/stream_events.py b/src/agents/stream_events.py index bd37d11f3..111d0b951 100644 --- a/src/agents/stream_events.py +++ b/src/agents/stream_events.py @@ -35,6 +35,8 @@ class RunItemStreamEvent: "tool_called", "tool_output", "reasoning_item_created", + "mcp_approval_requested", + "mcp_list_tools", ] """The name of the event.""" diff --git a/src/agents/tool.py b/src/agents/tool.py index c1c162423..3bcd57c2e 100644 --- a/src/agents/tool.py +++ b/src/agents/tool.py @@ -7,9 +7,11 @@ from typing import Any, Callable, Literal, Union, overload from openai.types.responses.file_search_tool_param import Filters, RankingOptions +from openai.types.responses.response_output_item import McpApprovalRequest +from openai.types.responses.tool_param import Mcp from openai.types.responses.web_search_tool_param import UserLocation from pydantic import ValidationError -from typing_extensions import Concatenate, ParamSpec +from typing_extensions import Concatenate, NotRequired, ParamSpec, TypedDict from . import _debug from .computer import AsyncComputer, Computer @@ -130,7 +132,55 @@ def name(self): return "computer_use_preview" -Tool = Union[FunctionTool, FileSearchTool, WebSearchTool, ComputerTool] +@dataclass +class MCPToolApprovalRequest: + """A request to approve a tool call.""" + + ctx_wrapper: RunContextWrapper[Any] + """The run context.""" + + data: McpApprovalRequest + """The data from the MCP tool approval request.""" + + +class MCPToolApprovalFunctionResult(TypedDict): + """The result of an MCP tool approval function.""" + + approve: bool + """Whether to approve the tool call.""" + + reason: NotRequired[str] + """An optional reason, if rejected.""" + + +MCPToolApprovalFunction = Callable[ + [MCPToolApprovalRequest], MaybeAwaitable[MCPToolApprovalFunctionResult] +] +"""A function that approves or rejects a tool call.""" + + +@dataclass +class HostedMCPTool: + """A tool that allows the LLM to use a remote MCP server. The LLM will automatically list and + call tools, without requiring a a round trip back to your code. + If you want to run MCP servers locally via stdio, in a VPC or other non-publicly-accessible + environment, or you just prefer to run tool calls locally, then you can instead use the servers + in `agents.mcp` and pass `Agent(mcp_servers=[...])` to the agent.""" + + tool_config: Mcp + """The MCP tool config, which includes the server URL and other settings.""" + + on_approval_request: MCPToolApprovalFunction | None = None + """An optional function that will be called if approval is requested for an MCP tool. If not + provided, you will need to manually add approvals/rejections to the input and call + `Runner.run(...)` again.""" + + @property + def name(self): + return "hosted_mcp" + + +Tool = Union[FunctionTool, FileSearchTool, WebSearchTool, ComputerTool, HostedMCPTool] """A tool that can be used in an agent.""" @@ -308,3 +358,13 @@ def decorator(real_func: ToolFunction[...]) -> FunctionTool: return _create_function_tool(real_func) return decorator + return decorator + return decorator + return decorator + return decorator + return decorator + return decorator + return decorator + return decorator + return decorator + return decorator From 7ae251767160b251b21726088804e54f2d880304 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 21 May 2025 15:12:45 -0400 Subject: [PATCH 113/337] Add support for local shell, image generator, code interpreter tools --- examples/tools/code_interpreter.py | 34 +++++++ examples/tools/image_generator.py | 54 +++++++++++ src/agents/__init__.py | 10 +++ src/agents/_run_impl.py | 124 +++++++++++++++++++++++++- src/agents/items.py | 21 ++++- src/agents/models/openai_responses.py | 35 +++++++- src/agents/tool.py | 76 +++++++++++++--- 7 files changed, 335 insertions(+), 19 deletions(-) create mode 100644 examples/tools/code_interpreter.py create mode 100644 examples/tools/image_generator.py diff --git a/examples/tools/code_interpreter.py b/examples/tools/code_interpreter.py new file mode 100644 index 000000000..a5843ce3f --- /dev/null +++ b/examples/tools/code_interpreter.py @@ -0,0 +1,34 @@ +import asyncio + +from agents import Agent, CodeInterpreterTool, Runner, trace + + +async def main(): + agent = Agent( + name="Code interpreter", + instructions="You love doing math.", + tools=[ + CodeInterpreterTool( + tool_config={"type": "code_interpreter", "container": {"type": "auto"}}, + ) + ], + ) + + with trace("Code interpreter example"): + print("Solving math problem...") + result = Runner.run_streamed(agent, "What is the square root of273 * 312821 plus 1782?") + async for event in result.stream_events(): + if ( + event.type == "run_item_stream_event" + and event.item.type == "tool_call_item" + and event.item.raw_item.type == "code_interpreter_call" + ): + print(f"Code interpreter code:\n```\n{event.item.raw_item.code}\n```\n") + elif event.type == "run_item_stream_event": + print(f"Other event: {event.item.type}") + + print(f"Final output: {result.final_output}") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/examples/tools/image_generator.py b/examples/tools/image_generator.py new file mode 100644 index 000000000..9eee37b1d --- /dev/null +++ b/examples/tools/image_generator.py @@ -0,0 +1,54 @@ +import asyncio +import base64 +import os +import subprocess +import sys +import tempfile + +from agents import Agent, ImageGenerationTool, Runner, trace + + +def open_file(path: str) -> None: + if sys.platform.startswith("darwin"): + subprocess.run(["open", path], check=False) # macOS + elif os.name == "nt": + os.startfile(path) # type-ignore[attr-define] Windows only + elif os.name == "posix": + subprocess.run(["xdg-open", path], check=False) # Linux/Unix + else: + print(f"Don't know how to open files on this platform: {sys.platform}") + + +async def main(): + agent = Agent( + name="Image generator", + instructions="You are a helpful agent.", + tools=[ + ImageGenerationTool( + tool_config={"type": "image_generation", "quality": "low"}, + ) + ], + ) + + with trace("Image generation example"): + print("Generating image, this may take a while...") + result = await Runner.run( + agent, "Create an image of a frog eating a pizza, comic book style." + ) + print(result.final_output) + for item in result.new_items: + if ( + item.type == "tool_call_item" + and item.raw_item.type == "image_generation_call" + and (img_result := item.raw_item.result) + ): + with tempfile.NamedTemporaryFile(suffix=".png", delete=False) as tmp: + tmp.write(base64.b64decode(img_result)) + temp_path = tmp.name + + # Open the image + open_file(temp_path) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/src/agents/__init__.py b/src/agents/__init__.py index 36c26b80d..58949157a 100644 --- a/src/agents/__init__.py +++ b/src/agents/__init__.py @@ -54,11 +54,16 @@ StreamEvent, ) from .tool import ( + CodeInterpreterTool, ComputerTool, FileSearchTool, FunctionTool, FunctionToolResult, HostedMCPTool, + ImageGenerationTool, + LocalShellCommandRequest, + LocalShellExecutor, + LocalShellTool, MCPToolApprovalFunction, MCPToolApprovalFunctionResult, MCPToolApprovalRequest, @@ -210,6 +215,11 @@ def enable_verbose_stdout_logging(): "FunctionToolResult", "ComputerTool", "FileSearchTool", + "CodeInterpreterTool", + "ImageGenerationTool", + "LocalShellCommandRequest", + "LocalShellExecutor", + "LocalShellTool", "Tool", "WebSearchTool", "HostedMCPTool", diff --git a/src/agents/_run_impl.py b/src/agents/_run_impl.py index ab1e78797..2cfa270e0 100644 --- a/src/agents/_run_impl.py +++ b/src/agents/_run_impl.py @@ -14,6 +14,9 @@ ResponseFunctionWebSearch, ResponseOutputMessage, ) +from openai.types.responses.response_code_interpreter_tool_call import ( + ResponseCodeInterpreterToolCall, +) from openai.types.responses.response_computer_tool_call import ( ActionClick, ActionDoubleClick, @@ -26,7 +29,12 @@ ActionWait, ) from openai.types.responses.response_input_param import ComputerCallOutput, McpApprovalResponse -from openai.types.responses.response_output_item import McpApprovalRequest, McpCall, McpListTools +from openai.types.responses.response_output_item import ( + ImageGenerationCall, + LocalShellCall, + McpApprovalRequest, + McpListTools, +) from openai.types.responses.response_reasoning_item import ResponseReasoningItem from .agent import Agent, ToolsToFinalOutputResult @@ -61,6 +69,8 @@ FunctionTool, FunctionToolResult, HostedMCPTool, + LocalShellCommandRequest, + LocalShellTool, MCPToolApprovalRequest, Tool, ) @@ -129,12 +139,19 @@ class ToolRunMCPApprovalRequest: mcp_tool: HostedMCPTool +@dataclass +class ToolRunLocalShellCall: + tool_call: LocalShellCall + local_shell_tool: LocalShellTool + + @dataclass class ProcessedResponse: new_items: list[RunItem] handoffs: list[ToolRunHandoff] functions: list[ToolRunFunction] computer_actions: list[ToolRunComputerAction] + local_shell_calls: list[ToolRunLocalShellCall] tools_used: list[str] # Names of all tools used, including hosted tools mcp_approval_requests: list[ToolRunMCPApprovalRequest] # Only requests with callbacks @@ -146,6 +163,7 @@ def has_tools_or_approvals_to_run(self) -> bool: self.handoffs, self.functions, self.computer_actions, + self.local_shell_calls, self.mcp_approval_requests, ] ) @@ -371,11 +389,15 @@ def process_model_response( run_handoffs = [] functions = [] computer_actions = [] + local_shell_calls = [] mcp_approval_requests = [] tools_used: list[str] = [] handoff_map = {handoff.tool_name: handoff for handoff in handoffs} function_map = {tool.name: tool for tool in all_tools if isinstance(tool, FunctionTool)} computer_tool = next((tool for tool in all_tools if isinstance(tool, ComputerTool)), None) + local_shell_tool = next( + (tool for tool in all_tools if isinstance(tool, LocalShellTool)), None + ) hosted_mcp_server_map = { tool.tool_config["server_label"]: tool for tool in all_tools @@ -434,9 +456,29 @@ def process_model_response( ) elif isinstance(output, McpListTools): items.append(MCPListToolsItem(raw_item=output, agent=agent)) - elif isinstance(output, McpCall): + elif isinstance(output, ImageGenerationCall): + items.append(ToolCallItem(raw_item=output, agent=agent)) + tools_used.append("image_generation") + elif isinstance(output, ResponseCodeInterpreterToolCall): items.append(ToolCallItem(raw_item=output, agent=agent)) - tools_used.append(output.name) + tools_used.append("code_interpreter") + elif isinstance(output, LocalShellCall): + items.append(ToolCallItem(raw_item=output, agent=agent)) + tools_used.append("local_shell") + if not local_shell_tool: + _error_tracing.attach_error_to_current_span( + SpanError( + message="Local shell tool not found", + data={}, + ) + ) + raise ModelBehaviorError( + "Model produced local shell call without a local shell tool." + ) + local_shell_calls.append( + ToolRunLocalShellCall(tool_call=output, local_shell_tool=local_shell_tool) + ) + elif not isinstance(output, ResponseFunctionToolCall): logger.warning(f"Unexpected output type, ignoring: {type(output)}") continue @@ -478,6 +520,7 @@ def process_model_response( handoffs=run_handoffs, functions=functions, computer_actions=computer_actions, + local_shell_calls=local_shell_calls, tools_used=tools_used, mcp_approval_requests=mcp_approval_requests, ) @@ -552,6 +595,30 @@ async def run_single_tool( for tool_run, result in zip(tool_runs, results) ] + @classmethod + async def execute_local_shell_calls( + cls, + *, + agent: Agent[TContext], + calls: list[ToolRunLocalShellCall], + context_wrapper: RunContextWrapper[TContext], + hooks: RunHooks[TContext], + config: RunConfig, + ) -> list[RunItem]: + results: list[RunItem] = [] + # Need to run these serially, because each call can affect the local shell state + for call in calls: + results.append( + await LocalShellAction.execute( + agent=agent, + call=call, + hooks=hooks, + context_wrapper=context_wrapper, + config=config, + ) + ) + return results + @classmethod async def execute_computer_actions( cls, @@ -1021,3 +1088,54 @@ async def _get_screenshot_async( await computer.wait() return await computer.screenshot() + + +class LocalShellAction: + @classmethod + async def execute( + cls, + *, + agent: Agent[TContext], + call: ToolRunLocalShellCall, + hooks: RunHooks[TContext], + context_wrapper: RunContextWrapper[TContext], + config: RunConfig, + ) -> RunItem: + await asyncio.gather( + hooks.on_tool_start(context_wrapper, agent, call.local_shell_tool), + ( + agent.hooks.on_tool_start(context_wrapper, agent, call.local_shell_tool) + if agent.hooks + else _coro.noop_coroutine() + ), + ) + + request = LocalShellCommandRequest( + ctx_wrapper=context_wrapper, + data=call.tool_call, + ) + output = call.local_shell_tool.executor(request) + if inspect.isawaitable(output): + result = await output + else: + result = output + + await asyncio.gather( + hooks.on_tool_end(context_wrapper, agent, call.local_shell_tool, result), + ( + agent.hooks.on_tool_end(context_wrapper, agent, call.local_shell_tool, result) + if agent.hooks + else _coro.noop_coroutine() + ), + ) + + return ToolCallOutputItem( + agent=agent, + output=output, + raw_item={ + "type": "local_shell_call_output", + "id": call.tool_call.call_id, + "output": result, + # "id": "out" + call.tool_call.id, # TODO remove this, it should be optional + }, + ) diff --git a/src/agents/items.py b/src/agents/items.py index 65a911798..64797ad22 100644 --- a/src/agents/items.py +++ b/src/agents/items.py @@ -18,12 +18,22 @@ ResponseOutputText, ResponseStreamEvent, ) +from openai.types.responses.response_code_interpreter_tool_call import ( + ResponseCodeInterpreterToolCall, +) from openai.types.responses.response_input_item_param import ( ComputerCallOutput, FunctionCallOutput, + LocalShellCallOutput, McpApprovalResponse, ) -from openai.types.responses.response_output_item import McpApprovalRequest, McpCall, McpListTools +from openai.types.responses.response_output_item import ( + ImageGenerationCall, + LocalShellCall, + McpApprovalRequest, + McpCall, + McpListTools, +) from openai.types.responses.response_reasoning_item import ResponseReasoningItem from pydantic import BaseModel from typing_extensions import TypeAlias @@ -114,6 +124,9 @@ class HandoffOutputItem(RunItemBase[TResponseInputItem]): ResponseFileSearchToolCall, ResponseFunctionWebSearch, McpCall, + ResponseCodeInterpreterToolCall, + ImageGenerationCall, + LocalShellCall, ] """A type that represents a tool call item.""" @@ -129,10 +142,12 @@ class ToolCallItem(RunItemBase[ToolCallItemTypes]): @dataclass -class ToolCallOutputItem(RunItemBase[Union[FunctionCallOutput, ComputerCallOutput]]): +class ToolCallOutputItem( + RunItemBase[Union[FunctionCallOutput, ComputerCallOutput, LocalShellCallOutput]] +): """Represents the output of a tool call.""" - raw_item: FunctionCallOutput | ComputerCallOutput + raw_item: FunctionCallOutput | ComputerCallOutput | LocalShellCallOutput """The raw item from the model.""" output: Any diff --git a/src/agents/models/openai_responses.py b/src/agents/models/openai_responses.py index 65a4f5caf..86c8e69cb 100644 --- a/src/agents/models/openai_responses.py +++ b/src/agents/models/openai_responses.py @@ -24,7 +24,17 @@ from ..handoffs import Handoff from ..items import ItemHelpers, ModelResponse, TResponseInputItem from ..logger import logger -from ..tool import ComputerTool, FileSearchTool, FunctionTool, HostedMCPTool, Tool, WebSearchTool +from ..tool import ( + CodeInterpreterTool, + ComputerTool, + FileSearchTool, + FunctionTool, + HostedMCPTool, + ImageGenerationTool, + LocalShellTool, + Tool, + WebSearchTool, +) from ..tracing import SpanError, response_span from ..usage import Usage from ..version import __version__ @@ -295,6 +305,18 @@ def convert_tool_choice( return { "type": "computer_use_preview", } + elif tool_choice == "image_generation": + return { + "type": "image_generation", + } + elif tool_choice == "code_interpreter": + return { + "type": "code_interpreter", + } + elif tool_choice == "mcp": + return { + "type": "mcp", + } else: return { "type": "function", @@ -386,6 +408,17 @@ def _convert_tool(cls, tool: Tool) -> tuple[ToolParam, ResponseIncludable | None elif isinstance(tool, HostedMCPTool): converted_tool = tool.tool_config includes = None + elif isinstance(tool, ImageGenerationTool): + converted_tool = tool.tool_config + includes = None + elif isinstance(tool, CodeInterpreterTool): + converted_tool = tool.tool_config + includes = None + elif isinstance(tool, LocalShellTool): + converted_tool = { + "type": "local_shell", + } + includes = None else: raise UserError(f"Unknown tool type: {type(tool)}, tool") diff --git a/src/agents/tool.py b/src/agents/tool.py index 3bcd57c2e..81803cc43 100644 --- a/src/agents/tool.py +++ b/src/agents/tool.py @@ -7,8 +7,8 @@ from typing import Any, Callable, Literal, Union, overload from openai.types.responses.file_search_tool_param import Filters, RankingOptions -from openai.types.responses.response_output_item import McpApprovalRequest -from openai.types.responses.tool_param import Mcp +from openai.types.responses.response_output_item import LocalShellCall, McpApprovalRequest +from openai.types.responses.tool_param import CodeInterpreter, ImageGeneration, Mcp from openai.types.responses.web_search_tool_param import UserLocation from pydantic import ValidationError from typing_extensions import Concatenate, NotRequired, ParamSpec, TypedDict @@ -180,7 +180,67 @@ def name(self): return "hosted_mcp" -Tool = Union[FunctionTool, FileSearchTool, WebSearchTool, ComputerTool, HostedMCPTool] +@dataclass +class CodeInterpreterTool: + """A tool that allows the LLM to execute code in a sandboxed environment.""" + + tool_config: CodeInterpreter + """The tool config, which includes the container and other settings.""" + + @property + def name(self): + return "code_interpreter" + + +@dataclass +class ImageGenerationTool: + """A tool that allows the LLM to generate images.""" + + tool_config: ImageGeneration + """The tool config, which image generation settings.""" + + @property + def name(self): + return "image_generation" + + +@dataclass +class LocalShellCommandRequest: + """A request to execute a command on a shell.""" + + ctx_wrapper: RunContextWrapper[Any] + """The run context.""" + + data: LocalShellCall + """The data from the local shell tool call.""" + + +LocalShellExecutor = Callable[[LocalShellCommandRequest], MaybeAwaitable[str]] +"""A function that executes a command on a shell.""" + + +@dataclass +class LocalShellTool: + """A tool that allows the LLM to execute commands on a shell.""" + + executor: LocalShellExecutor + """A function that executes a command on a shell.""" + + @property + def name(self): + return "local_shell" + + +Tool = Union[ + FunctionTool, + FileSearchTool, + WebSearchTool, + ComputerTool, + HostedMCPTool, + LocalShellTool, + ImageGenerationTool, + CodeInterpreterTool, +] """A tool that can be used in an agent.""" @@ -358,13 +418,5 @@ def decorator(real_func: ToolFunction[...]) -> FunctionTool: return _create_function_tool(real_func) return decorator - return decorator - return decorator - return decorator - return decorator - return decorator - return decorator - return decorator - return decorator - return decorator + return decorator From a1647a630574cbf762c0e90c22cc3f20c8321d9c Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 21 May 2025 15:12:45 -0400 Subject: [PATCH 114/337] Add support for local shell, image generator, code interpreter tools --- examples/tools/code_interpreter.py | 34 +++++++ examples/tools/image_generator.py | 54 +++++++++++ src/agents/__init__.py | 10 +++ src/agents/_run_impl.py | 124 +++++++++++++++++++++++++- src/agents/items.py | 21 ++++- src/agents/models/openai_responses.py | 35 +++++++- src/agents/tool.py | 76 +++++++++++++--- 7 files changed, 334 insertions(+), 20 deletions(-) create mode 100644 examples/tools/code_interpreter.py create mode 100644 examples/tools/image_generator.py diff --git a/examples/tools/code_interpreter.py b/examples/tools/code_interpreter.py new file mode 100644 index 000000000..a5843ce3f --- /dev/null +++ b/examples/tools/code_interpreter.py @@ -0,0 +1,34 @@ +import asyncio + +from agents import Agent, CodeInterpreterTool, Runner, trace + + +async def main(): + agent = Agent( + name="Code interpreter", + instructions="You love doing math.", + tools=[ + CodeInterpreterTool( + tool_config={"type": "code_interpreter", "container": {"type": "auto"}}, + ) + ], + ) + + with trace("Code interpreter example"): + print("Solving math problem...") + result = Runner.run_streamed(agent, "What is the square root of273 * 312821 plus 1782?") + async for event in result.stream_events(): + if ( + event.type == "run_item_stream_event" + and event.item.type == "tool_call_item" + and event.item.raw_item.type == "code_interpreter_call" + ): + print(f"Code interpreter code:\n```\n{event.item.raw_item.code}\n```\n") + elif event.type == "run_item_stream_event": + print(f"Other event: {event.item.type}") + + print(f"Final output: {result.final_output}") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/examples/tools/image_generator.py b/examples/tools/image_generator.py new file mode 100644 index 000000000..9eee37b1d --- /dev/null +++ b/examples/tools/image_generator.py @@ -0,0 +1,54 @@ +import asyncio +import base64 +import os +import subprocess +import sys +import tempfile + +from agents import Agent, ImageGenerationTool, Runner, trace + + +def open_file(path: str) -> None: + if sys.platform.startswith("darwin"): + subprocess.run(["open", path], check=False) # macOS + elif os.name == "nt": + os.startfile(path) # type-ignore[attr-define] Windows only + elif os.name == "posix": + subprocess.run(["xdg-open", path], check=False) # Linux/Unix + else: + print(f"Don't know how to open files on this platform: {sys.platform}") + + +async def main(): + agent = Agent( + name="Image generator", + instructions="You are a helpful agent.", + tools=[ + ImageGenerationTool( + tool_config={"type": "image_generation", "quality": "low"}, + ) + ], + ) + + with trace("Image generation example"): + print("Generating image, this may take a while...") + result = await Runner.run( + agent, "Create an image of a frog eating a pizza, comic book style." + ) + print(result.final_output) + for item in result.new_items: + if ( + item.type == "tool_call_item" + and item.raw_item.type == "image_generation_call" + and (img_result := item.raw_item.result) + ): + with tempfile.NamedTemporaryFile(suffix=".png", delete=False) as tmp: + tmp.write(base64.b64decode(img_result)) + temp_path = tmp.name + + # Open the image + open_file(temp_path) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/src/agents/__init__.py b/src/agents/__init__.py index 36c26b80d..58949157a 100644 --- a/src/agents/__init__.py +++ b/src/agents/__init__.py @@ -54,11 +54,16 @@ StreamEvent, ) from .tool import ( + CodeInterpreterTool, ComputerTool, FileSearchTool, FunctionTool, FunctionToolResult, HostedMCPTool, + ImageGenerationTool, + LocalShellCommandRequest, + LocalShellExecutor, + LocalShellTool, MCPToolApprovalFunction, MCPToolApprovalFunctionResult, MCPToolApprovalRequest, @@ -210,6 +215,11 @@ def enable_verbose_stdout_logging(): "FunctionToolResult", "ComputerTool", "FileSearchTool", + "CodeInterpreterTool", + "ImageGenerationTool", + "LocalShellCommandRequest", + "LocalShellExecutor", + "LocalShellTool", "Tool", "WebSearchTool", "HostedMCPTool", diff --git a/src/agents/_run_impl.py b/src/agents/_run_impl.py index ab1e78797..2cfa270e0 100644 --- a/src/agents/_run_impl.py +++ b/src/agents/_run_impl.py @@ -14,6 +14,9 @@ ResponseFunctionWebSearch, ResponseOutputMessage, ) +from openai.types.responses.response_code_interpreter_tool_call import ( + ResponseCodeInterpreterToolCall, +) from openai.types.responses.response_computer_tool_call import ( ActionClick, ActionDoubleClick, @@ -26,7 +29,12 @@ ActionWait, ) from openai.types.responses.response_input_param import ComputerCallOutput, McpApprovalResponse -from openai.types.responses.response_output_item import McpApprovalRequest, McpCall, McpListTools +from openai.types.responses.response_output_item import ( + ImageGenerationCall, + LocalShellCall, + McpApprovalRequest, + McpListTools, +) from openai.types.responses.response_reasoning_item import ResponseReasoningItem from .agent import Agent, ToolsToFinalOutputResult @@ -61,6 +69,8 @@ FunctionTool, FunctionToolResult, HostedMCPTool, + LocalShellCommandRequest, + LocalShellTool, MCPToolApprovalRequest, Tool, ) @@ -129,12 +139,19 @@ class ToolRunMCPApprovalRequest: mcp_tool: HostedMCPTool +@dataclass +class ToolRunLocalShellCall: + tool_call: LocalShellCall + local_shell_tool: LocalShellTool + + @dataclass class ProcessedResponse: new_items: list[RunItem] handoffs: list[ToolRunHandoff] functions: list[ToolRunFunction] computer_actions: list[ToolRunComputerAction] + local_shell_calls: list[ToolRunLocalShellCall] tools_used: list[str] # Names of all tools used, including hosted tools mcp_approval_requests: list[ToolRunMCPApprovalRequest] # Only requests with callbacks @@ -146,6 +163,7 @@ def has_tools_or_approvals_to_run(self) -> bool: self.handoffs, self.functions, self.computer_actions, + self.local_shell_calls, self.mcp_approval_requests, ] ) @@ -371,11 +389,15 @@ def process_model_response( run_handoffs = [] functions = [] computer_actions = [] + local_shell_calls = [] mcp_approval_requests = [] tools_used: list[str] = [] handoff_map = {handoff.tool_name: handoff for handoff in handoffs} function_map = {tool.name: tool for tool in all_tools if isinstance(tool, FunctionTool)} computer_tool = next((tool for tool in all_tools if isinstance(tool, ComputerTool)), None) + local_shell_tool = next( + (tool for tool in all_tools if isinstance(tool, LocalShellTool)), None + ) hosted_mcp_server_map = { tool.tool_config["server_label"]: tool for tool in all_tools @@ -434,9 +456,29 @@ def process_model_response( ) elif isinstance(output, McpListTools): items.append(MCPListToolsItem(raw_item=output, agent=agent)) - elif isinstance(output, McpCall): + elif isinstance(output, ImageGenerationCall): + items.append(ToolCallItem(raw_item=output, agent=agent)) + tools_used.append("image_generation") + elif isinstance(output, ResponseCodeInterpreterToolCall): items.append(ToolCallItem(raw_item=output, agent=agent)) - tools_used.append(output.name) + tools_used.append("code_interpreter") + elif isinstance(output, LocalShellCall): + items.append(ToolCallItem(raw_item=output, agent=agent)) + tools_used.append("local_shell") + if not local_shell_tool: + _error_tracing.attach_error_to_current_span( + SpanError( + message="Local shell tool not found", + data={}, + ) + ) + raise ModelBehaviorError( + "Model produced local shell call without a local shell tool." + ) + local_shell_calls.append( + ToolRunLocalShellCall(tool_call=output, local_shell_tool=local_shell_tool) + ) + elif not isinstance(output, ResponseFunctionToolCall): logger.warning(f"Unexpected output type, ignoring: {type(output)}") continue @@ -478,6 +520,7 @@ def process_model_response( handoffs=run_handoffs, functions=functions, computer_actions=computer_actions, + local_shell_calls=local_shell_calls, tools_used=tools_used, mcp_approval_requests=mcp_approval_requests, ) @@ -552,6 +595,30 @@ async def run_single_tool( for tool_run, result in zip(tool_runs, results) ] + @classmethod + async def execute_local_shell_calls( + cls, + *, + agent: Agent[TContext], + calls: list[ToolRunLocalShellCall], + context_wrapper: RunContextWrapper[TContext], + hooks: RunHooks[TContext], + config: RunConfig, + ) -> list[RunItem]: + results: list[RunItem] = [] + # Need to run these serially, because each call can affect the local shell state + for call in calls: + results.append( + await LocalShellAction.execute( + agent=agent, + call=call, + hooks=hooks, + context_wrapper=context_wrapper, + config=config, + ) + ) + return results + @classmethod async def execute_computer_actions( cls, @@ -1021,3 +1088,54 @@ async def _get_screenshot_async( await computer.wait() return await computer.screenshot() + + +class LocalShellAction: + @classmethod + async def execute( + cls, + *, + agent: Agent[TContext], + call: ToolRunLocalShellCall, + hooks: RunHooks[TContext], + context_wrapper: RunContextWrapper[TContext], + config: RunConfig, + ) -> RunItem: + await asyncio.gather( + hooks.on_tool_start(context_wrapper, agent, call.local_shell_tool), + ( + agent.hooks.on_tool_start(context_wrapper, agent, call.local_shell_tool) + if agent.hooks + else _coro.noop_coroutine() + ), + ) + + request = LocalShellCommandRequest( + ctx_wrapper=context_wrapper, + data=call.tool_call, + ) + output = call.local_shell_tool.executor(request) + if inspect.isawaitable(output): + result = await output + else: + result = output + + await asyncio.gather( + hooks.on_tool_end(context_wrapper, agent, call.local_shell_tool, result), + ( + agent.hooks.on_tool_end(context_wrapper, agent, call.local_shell_tool, result) + if agent.hooks + else _coro.noop_coroutine() + ), + ) + + return ToolCallOutputItem( + agent=agent, + output=output, + raw_item={ + "type": "local_shell_call_output", + "id": call.tool_call.call_id, + "output": result, + # "id": "out" + call.tool_call.id, # TODO remove this, it should be optional + }, + ) diff --git a/src/agents/items.py b/src/agents/items.py index 65a911798..64797ad22 100644 --- a/src/agents/items.py +++ b/src/agents/items.py @@ -18,12 +18,22 @@ ResponseOutputText, ResponseStreamEvent, ) +from openai.types.responses.response_code_interpreter_tool_call import ( + ResponseCodeInterpreterToolCall, +) from openai.types.responses.response_input_item_param import ( ComputerCallOutput, FunctionCallOutput, + LocalShellCallOutput, McpApprovalResponse, ) -from openai.types.responses.response_output_item import McpApprovalRequest, McpCall, McpListTools +from openai.types.responses.response_output_item import ( + ImageGenerationCall, + LocalShellCall, + McpApprovalRequest, + McpCall, + McpListTools, +) from openai.types.responses.response_reasoning_item import ResponseReasoningItem from pydantic import BaseModel from typing_extensions import TypeAlias @@ -114,6 +124,9 @@ class HandoffOutputItem(RunItemBase[TResponseInputItem]): ResponseFileSearchToolCall, ResponseFunctionWebSearch, McpCall, + ResponseCodeInterpreterToolCall, + ImageGenerationCall, + LocalShellCall, ] """A type that represents a tool call item.""" @@ -129,10 +142,12 @@ class ToolCallItem(RunItemBase[ToolCallItemTypes]): @dataclass -class ToolCallOutputItem(RunItemBase[Union[FunctionCallOutput, ComputerCallOutput]]): +class ToolCallOutputItem( + RunItemBase[Union[FunctionCallOutput, ComputerCallOutput, LocalShellCallOutput]] +): """Represents the output of a tool call.""" - raw_item: FunctionCallOutput | ComputerCallOutput + raw_item: FunctionCallOutput | ComputerCallOutput | LocalShellCallOutput """The raw item from the model.""" output: Any diff --git a/src/agents/models/openai_responses.py b/src/agents/models/openai_responses.py index 65a4f5caf..86c8e69cb 100644 --- a/src/agents/models/openai_responses.py +++ b/src/agents/models/openai_responses.py @@ -24,7 +24,17 @@ from ..handoffs import Handoff from ..items import ItemHelpers, ModelResponse, TResponseInputItem from ..logger import logger -from ..tool import ComputerTool, FileSearchTool, FunctionTool, HostedMCPTool, Tool, WebSearchTool +from ..tool import ( + CodeInterpreterTool, + ComputerTool, + FileSearchTool, + FunctionTool, + HostedMCPTool, + ImageGenerationTool, + LocalShellTool, + Tool, + WebSearchTool, +) from ..tracing import SpanError, response_span from ..usage import Usage from ..version import __version__ @@ -295,6 +305,18 @@ def convert_tool_choice( return { "type": "computer_use_preview", } + elif tool_choice == "image_generation": + return { + "type": "image_generation", + } + elif tool_choice == "code_interpreter": + return { + "type": "code_interpreter", + } + elif tool_choice == "mcp": + return { + "type": "mcp", + } else: return { "type": "function", @@ -386,6 +408,17 @@ def _convert_tool(cls, tool: Tool) -> tuple[ToolParam, ResponseIncludable | None elif isinstance(tool, HostedMCPTool): converted_tool = tool.tool_config includes = None + elif isinstance(tool, ImageGenerationTool): + converted_tool = tool.tool_config + includes = None + elif isinstance(tool, CodeInterpreterTool): + converted_tool = tool.tool_config + includes = None + elif isinstance(tool, LocalShellTool): + converted_tool = { + "type": "local_shell", + } + includes = None else: raise UserError(f"Unknown tool type: {type(tool)}, tool") diff --git a/src/agents/tool.py b/src/agents/tool.py index 3bcd57c2e..fd5a21c89 100644 --- a/src/agents/tool.py +++ b/src/agents/tool.py @@ -7,8 +7,8 @@ from typing import Any, Callable, Literal, Union, overload from openai.types.responses.file_search_tool_param import Filters, RankingOptions -from openai.types.responses.response_output_item import McpApprovalRequest -from openai.types.responses.tool_param import Mcp +from openai.types.responses.response_output_item import LocalShellCall, McpApprovalRequest +from openai.types.responses.tool_param import CodeInterpreter, ImageGeneration, Mcp from openai.types.responses.web_search_tool_param import UserLocation from pydantic import ValidationError from typing_extensions import Concatenate, NotRequired, ParamSpec, TypedDict @@ -180,7 +180,67 @@ def name(self): return "hosted_mcp" -Tool = Union[FunctionTool, FileSearchTool, WebSearchTool, ComputerTool, HostedMCPTool] +@dataclass +class CodeInterpreterTool: + """A tool that allows the LLM to execute code in a sandboxed environment.""" + + tool_config: CodeInterpreter + """The tool config, which includes the container and other settings.""" + + @property + def name(self): + return "code_interpreter" + + +@dataclass +class ImageGenerationTool: + """A tool that allows the LLM to generate images.""" + + tool_config: ImageGeneration + """The tool config, which image generation settings.""" + + @property + def name(self): + return "image_generation" + + +@dataclass +class LocalShellCommandRequest: + """A request to execute a command on a shell.""" + + ctx_wrapper: RunContextWrapper[Any] + """The run context.""" + + data: LocalShellCall + """The data from the local shell tool call.""" + + +LocalShellExecutor = Callable[[LocalShellCommandRequest], MaybeAwaitable[str]] +"""A function that executes a command on a shell.""" + + +@dataclass +class LocalShellTool: + """A tool that allows the LLM to execute commands on a shell.""" + + executor: LocalShellExecutor + """A function that executes a command on a shell.""" + + @property + def name(self): + return "local_shell" + + +Tool = Union[ + FunctionTool, + FileSearchTool, + WebSearchTool, + ComputerTool, + HostedMCPTool, + LocalShellTool, + ImageGenerationTool, + CodeInterpreterTool, +] """A tool that can be used in an agent.""" @@ -358,13 +418,3 @@ def decorator(real_func: ToolFunction[...]) -> FunctionTool: return _create_function_tool(real_func) return decorator - return decorator - return decorator - return decorator - return decorator - return decorator - return decorator - return decorator - return decorator - return decorator - return decorator From 9f8eb0408250c3cc2f517dfef600ae5fb0c44fe0 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 21 May 2025 15:18:08 -0400 Subject: [PATCH 115/337] Hosted MCP support --- examples/hosted_mcp/__init__.py | 0 examples/hosted_mcp/approvals.py | 61 ++++++++++++++ examples/hosted_mcp/simple.py | 47 +++++++++++ src/agents/__init__.py | 8 ++ src/agents/_run_impl.py | 114 ++++++++++++++++++++++++-- src/agents/items.py | 41 ++++++++- src/agents/models/openai_responses.py | 6 +- src/agents/stream_events.py | 2 + src/agents/tool.py | 64 ++++++++++++++- 9 files changed, 332 insertions(+), 11 deletions(-) create mode 100644 examples/hosted_mcp/__init__.py create mode 100644 examples/hosted_mcp/approvals.py create mode 100644 examples/hosted_mcp/simple.py diff --git a/examples/hosted_mcp/__init__.py b/examples/hosted_mcp/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/examples/hosted_mcp/approvals.py b/examples/hosted_mcp/approvals.py new file mode 100644 index 000000000..2cabb3ee2 --- /dev/null +++ b/examples/hosted_mcp/approvals.py @@ -0,0 +1,61 @@ +import argparse +import asyncio + +from agents import ( + Agent, + HostedMCPTool, + MCPToolApprovalFunctionResult, + MCPToolApprovalRequest, + Runner, +) + +"""This example demonstrates how to use the hosted MCP support in the OpenAI Responses API, with +approval callbacks.""" + + +def approval_callback(request: MCPToolApprovalRequest) -> MCPToolApprovalFunctionResult: + answer = input(f"Approve running the tool `{request.data.name}`? (y/n) ") + result: MCPToolApprovalFunctionResult = {"approve": answer == "y"} + if not result["approve"]: + result["reason"] = "User denied" + return result + + +async def main(verbose: bool, stream: bool): + agent = Agent( + name="Assistant", + tools=[ + HostedMCPTool( + tool_config={ + "type": "mcp", + "server_label": "gitmcp", + "server_url": "https://gitmcp.io/openai/codex", + "require_approval": "always", + }, + on_approval_request=approval_callback, + ) + ], + ) + + if stream: + result = Runner.run_streamed(agent, "Which language is this repo written in?") + async for event in result.stream_events(): + if event.type == "run_item_stream_event": + print(f"Got event of type {event.item.__class__.__name__}") + print(f"Done streaming; final result: {result.final_output}") + else: + res = await Runner.run(agent, "Which language is this repo written in?") + print(res.final_output) + + if verbose: + for item in result.new_items: + print(item) + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument("--verbose", action="store_true", default=False) + parser.add_argument("--stream", action="store_true", default=False) + args = parser.parse_args() + + asyncio.run(main(args.verbose, args.stream)) diff --git a/examples/hosted_mcp/simple.py b/examples/hosted_mcp/simple.py new file mode 100644 index 000000000..508c3a7ae --- /dev/null +++ b/examples/hosted_mcp/simple.py @@ -0,0 +1,47 @@ +import argparse +import asyncio + +from agents import Agent, HostedMCPTool, Runner + +"""This example demonstrates how to use the hosted MCP support in the OpenAI Responses API, with +approvals not required for any tools. You should only use this for trusted MCP servers.""" + + +async def main(verbose: bool, stream: bool): + agent = Agent( + name="Assistant", + tools=[ + HostedMCPTool( + tool_config={ + "type": "mcp", + "server_label": "gitmcp", + "server_url": "https://gitmcp.io/openai/codex", + "require_approval": "never", + } + ) + ], + ) + + if stream: + result = Runner.run_streamed(agent, "Which language is this repo written in?") + async for event in result.stream_events(): + if event.type == "run_item_stream_event": + print(f"Got event of type {event.item.__class__.__name__}") + print(f"Done streaming; final result: {result.final_output}") + else: + res = await Runner.run(agent, "Which language is this repo written in?") + print(res.final_output) + # The repository is primarily written in multiple languages, including Rust and TypeScript... + + if verbose: + for item in result.new_items: + print(item) + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument("--verbose", action="store_true", default=False) + parser.add_argument("--stream", action="store_true", default=False) + args = parser.parse_args() + + asyncio.run(main(args.verbose, args.stream)) diff --git a/src/agents/__init__.py b/src/agents/__init__.py index 6d7c90b4f..36c26b80d 100644 --- a/src/agents/__init__.py +++ b/src/agents/__init__.py @@ -58,6 +58,10 @@ FileSearchTool, FunctionTool, FunctionToolResult, + HostedMCPTool, + MCPToolApprovalFunction, + MCPToolApprovalFunctionResult, + MCPToolApprovalRequest, Tool, WebSearchTool, default_tool_error_function, @@ -208,6 +212,10 @@ def enable_verbose_stdout_logging(): "FileSearchTool", "Tool", "WebSearchTool", + "HostedMCPTool", + "MCPToolApprovalFunction", + "MCPToolApprovalRequest", + "MCPToolApprovalFunctionResult", "function_tool", "Usage", "add_trace_processor", diff --git a/src/agents/_run_impl.py b/src/agents/_run_impl.py index b5a83685c..ab1e78797 100644 --- a/src/agents/_run_impl.py +++ b/src/agents/_run_impl.py @@ -25,7 +25,8 @@ ActionType, ActionWait, ) -from openai.types.responses.response_input_param import ComputerCallOutput +from openai.types.responses.response_input_param import ComputerCallOutput, McpApprovalResponse +from openai.types.responses.response_output_item import McpApprovalRequest, McpCall, McpListTools from openai.types.responses.response_reasoning_item import ResponseReasoningItem from .agent import Agent, ToolsToFinalOutputResult @@ -38,6 +39,9 @@ HandoffCallItem, HandoffOutputItem, ItemHelpers, + MCPApprovalRequestItem, + MCPApprovalResponseItem, + MCPListToolsItem, MessageOutputItem, ModelResponse, ReasoningItem, @@ -52,7 +56,14 @@ from .models.interface import ModelTracing from .run_context import RunContextWrapper, TContext from .stream_events import RunItemStreamEvent, StreamEvent -from .tool import ComputerTool, FunctionTool, FunctionToolResult, Tool +from .tool import ( + ComputerTool, + FunctionTool, + FunctionToolResult, + HostedMCPTool, + MCPToolApprovalRequest, + Tool, +) from .tracing import ( SpanError, Trace, @@ -112,6 +123,12 @@ class ToolRunComputerAction: computer_tool: ComputerTool +@dataclass +class ToolRunMCPApprovalRequest: + request_item: McpApprovalRequest + mcp_tool: HostedMCPTool + + @dataclass class ProcessedResponse: new_items: list[RunItem] @@ -119,8 +136,9 @@ class ProcessedResponse: functions: list[ToolRunFunction] computer_actions: list[ToolRunComputerAction] tools_used: list[str] # Names of all tools used, including hosted tools + mcp_approval_requests: list[ToolRunMCPApprovalRequest] # Only requests with callbacks - def has_tools_to_run(self) -> bool: + def has_tools_or_approvals_to_run(self) -> bool: # Handoffs, functions and computer actions need local processing # Hosted tools have already run, so there's nothing to do. return any( @@ -128,6 +146,7 @@ def has_tools_to_run(self) -> bool: self.handoffs, self.functions, self.computer_actions, + self.mcp_approval_requests, ] ) @@ -226,7 +245,16 @@ async def execute_tools_and_side_effects( new_step_items.extend([result.run_item for result in function_results]) new_step_items.extend(computer_results) - # Second, check if there are any handoffs + # Next, run the MCP approval requests + if processed_response.mcp_approval_requests: + approval_results = await cls.execute_mcp_approval_requests( + agent=agent, + approval_requests=processed_response.mcp_approval_requests, + context_wrapper=context_wrapper, + ) + new_step_items.extend(approval_results) + + # Next, check if there are any handoffs if run_handoffs := processed_response.handoffs: return await cls.execute_handoffs( agent=agent, @@ -240,7 +268,7 @@ async def execute_tools_and_side_effects( run_config=run_config, ) - # Third, we'll check if the tool use should result in a final output + # Next, we'll check if the tool use should result in a final output check_tool_use = await cls._check_for_final_output_from_tools( agent=agent, tool_results=function_results, @@ -295,7 +323,7 @@ async def execute_tools_and_side_effects( ) elif ( not output_schema or output_schema.is_plain_text() - ) and not processed_response.has_tools_to_run(): + ) and not processed_response.has_tools_or_approvals_to_run(): return await cls.execute_final_output( agent=agent, original_input=original_input, @@ -343,10 +371,16 @@ def process_model_response( run_handoffs = [] functions = [] computer_actions = [] + mcp_approval_requests = [] tools_used: list[str] = [] handoff_map = {handoff.tool_name: handoff for handoff in handoffs} function_map = {tool.name: tool for tool in all_tools if isinstance(tool, FunctionTool)} computer_tool = next((tool for tool in all_tools if isinstance(tool, ComputerTool)), None) + hosted_mcp_server_map = { + tool.tool_config["server_label"]: tool + for tool in all_tools + if isinstance(tool, HostedMCPTool) + } for output in response.output: if isinstance(output, ResponseOutputMessage): @@ -375,6 +409,34 @@ def process_model_response( computer_actions.append( ToolRunComputerAction(tool_call=output, computer_tool=computer_tool) ) + elif isinstance(output, McpApprovalRequest): + items.append(MCPApprovalRequestItem(raw_item=output, agent=agent)) + if output.server_label not in hosted_mcp_server_map: + _error_tracing.attach_error_to_current_span( + SpanError( + message="MCP server label not found", + data={"server_label": output.server_label}, + ) + ) + raise ModelBehaviorError(f"MCP server label {output.server_label} not found") + else: + server = hosted_mcp_server_map[output.server_label] + if server.on_approval_request: + mcp_approval_requests.append( + ToolRunMCPApprovalRequest( + request_item=output, + mcp_tool=server, + ) + ) + else: + logger.warning( + f"MCP server {output.server_label} has no on_approval_request hook" + ) + elif isinstance(output, McpListTools): + items.append(MCPListToolsItem(raw_item=output, agent=agent)) + elif isinstance(output, McpCall): + items.append(ToolCallItem(raw_item=output, agent=agent)) + tools_used.append(output.name) elif not isinstance(output, ResponseFunctionToolCall): logger.warning(f"Unexpected output type, ignoring: {type(output)}") continue @@ -417,6 +479,7 @@ def process_model_response( functions=functions, computer_actions=computer_actions, tools_used=tools_used, + mcp_approval_requests=mcp_approval_requests, ) @classmethod @@ -643,6 +706,40 @@ async def execute_handoffs( next_step=NextStepHandoff(new_agent), ) + @classmethod + async def execute_mcp_approval_requests( + cls, + *, + agent: Agent[TContext], + approval_requests: list[ToolRunMCPApprovalRequest], + context_wrapper: RunContextWrapper[TContext], + ) -> list[RunItem]: + async def run_single_approval(approval_request: ToolRunMCPApprovalRequest) -> RunItem: + callback = approval_request.mcp_tool.on_approval_request + assert callback is not None, "Callback is required for MCP approval requests" + maybe_awaitable_result = callback( + MCPToolApprovalRequest(context_wrapper, approval_request.request_item) + ) + if inspect.isawaitable(maybe_awaitable_result): + result = await maybe_awaitable_result + else: + result = maybe_awaitable_result + reason = result.get("reason", None) + raw_item: McpApprovalResponse = { + "approval_request_id": approval_request.request_item.id, + "approve": result["approve"], + "type": "mcp_approval_response", + } + if not result["approve"] and reason: + raw_item["reason"] = reason + return MCPApprovalResponseItem( + raw_item=raw_item, + agent=agent, + ) + + tasks = [run_single_approval(approval_request) for approval_request in approval_requests] + return await asyncio.gather(*tasks) + @classmethod async def execute_final_output( cls, @@ -727,6 +824,11 @@ def stream_step_result_to_queue( event = RunItemStreamEvent(item=item, name="tool_output") elif isinstance(item, ReasoningItem): event = RunItemStreamEvent(item=item, name="reasoning_item_created") + elif isinstance(item, MCPApprovalRequestItem): + event = RunItemStreamEvent(item=item, name="mcp_approval_requested") + elif isinstance(item, MCPListToolsItem): + event = RunItemStreamEvent(item=item, name="mcp_list_tools") + else: logger.warning(f"Unexpected item type: {type(item)}") event = None diff --git a/src/agents/items.py b/src/agents/items.py index 8fb2b52a3..65a911798 100644 --- a/src/agents/items.py +++ b/src/agents/items.py @@ -18,7 +18,12 @@ ResponseOutputText, ResponseStreamEvent, ) -from openai.types.responses.response_input_item_param import ComputerCallOutput, FunctionCallOutput +from openai.types.responses.response_input_item_param import ( + ComputerCallOutput, + FunctionCallOutput, + McpApprovalResponse, +) +from openai.types.responses.response_output_item import McpApprovalRequest, McpCall, McpListTools from openai.types.responses.response_reasoning_item import ResponseReasoningItem from pydantic import BaseModel from typing_extensions import TypeAlias @@ -108,6 +113,7 @@ class HandoffOutputItem(RunItemBase[TResponseInputItem]): ResponseComputerToolCall, ResponseFileSearchToolCall, ResponseFunctionWebSearch, + McpCall, ] """A type that represents a tool call item.""" @@ -147,6 +153,36 @@ class ReasoningItem(RunItemBase[ResponseReasoningItem]): type: Literal["reasoning_item"] = "reasoning_item" +@dataclass +class MCPListToolsItem(RunItemBase[McpListTools]): + """Represents a call to an MCP server to list tools.""" + + raw_item: McpListTools + """The raw MCP list tools call.""" + + type: Literal["mcp_list_tools_item"] = "mcp_list_tools_item" + + +@dataclass +class MCPApprovalRequestItem(RunItemBase[McpApprovalRequest]): + """Represents a request for MCP approval.""" + + raw_item: McpApprovalRequest + """The raw MCP approval request.""" + + type: Literal["mcp_approval_request_item"] = "mcp_approval_request_item" + + +@dataclass +class MCPApprovalResponseItem(RunItemBase[McpApprovalResponse]): + """Represents a response to an MCP approval request.""" + + raw_item: McpApprovalResponse + """The raw MCP approval response.""" + + type: Literal["mcp_approval_response_item"] = "mcp_approval_response_item" + + RunItem: TypeAlias = Union[ MessageOutputItem, HandoffCallItem, @@ -154,6 +190,9 @@ class ReasoningItem(RunItemBase[ResponseReasoningItem]): ToolCallItem, ToolCallOutputItem, ReasoningItem, + MCPListToolsItem, + MCPApprovalRequestItem, + MCPApprovalResponseItem, ] """An item generated by an agent.""" diff --git a/src/agents/models/openai_responses.py b/src/agents/models/openai_responses.py index cb6567909..65a4f5caf 100644 --- a/src/agents/models/openai_responses.py +++ b/src/agents/models/openai_responses.py @@ -24,7 +24,7 @@ from ..handoffs import Handoff from ..items import ItemHelpers, ModelResponse, TResponseInputItem from ..logger import logger -from ..tool import ComputerTool, FileSearchTool, FunctionTool, Tool, WebSearchTool +from ..tool import ComputerTool, FileSearchTool, FunctionTool, HostedMCPTool, Tool, WebSearchTool from ..tracing import SpanError, response_span from ..usage import Usage from ..version import __version__ @@ -383,7 +383,9 @@ def _convert_tool(cls, tool: Tool) -> tuple[ToolParam, ResponseIncludable | None "display_height": tool.computer.dimensions[1], } includes = None - + elif isinstance(tool, HostedMCPTool): + converted_tool = tool.tool_config + includes = None else: raise UserError(f"Unknown tool type: {type(tool)}, tool") diff --git a/src/agents/stream_events.py b/src/agents/stream_events.py index bd37d11f3..111d0b951 100644 --- a/src/agents/stream_events.py +++ b/src/agents/stream_events.py @@ -35,6 +35,8 @@ class RunItemStreamEvent: "tool_called", "tool_output", "reasoning_item_created", + "mcp_approval_requested", + "mcp_list_tools", ] """The name of the event.""" diff --git a/src/agents/tool.py b/src/agents/tool.py index c1c162423..3bcd57c2e 100644 --- a/src/agents/tool.py +++ b/src/agents/tool.py @@ -7,9 +7,11 @@ from typing import Any, Callable, Literal, Union, overload from openai.types.responses.file_search_tool_param import Filters, RankingOptions +from openai.types.responses.response_output_item import McpApprovalRequest +from openai.types.responses.tool_param import Mcp from openai.types.responses.web_search_tool_param import UserLocation from pydantic import ValidationError -from typing_extensions import Concatenate, ParamSpec +from typing_extensions import Concatenate, NotRequired, ParamSpec, TypedDict from . import _debug from .computer import AsyncComputer, Computer @@ -130,7 +132,55 @@ def name(self): return "computer_use_preview" -Tool = Union[FunctionTool, FileSearchTool, WebSearchTool, ComputerTool] +@dataclass +class MCPToolApprovalRequest: + """A request to approve a tool call.""" + + ctx_wrapper: RunContextWrapper[Any] + """The run context.""" + + data: McpApprovalRequest + """The data from the MCP tool approval request.""" + + +class MCPToolApprovalFunctionResult(TypedDict): + """The result of an MCP tool approval function.""" + + approve: bool + """Whether to approve the tool call.""" + + reason: NotRequired[str] + """An optional reason, if rejected.""" + + +MCPToolApprovalFunction = Callable[ + [MCPToolApprovalRequest], MaybeAwaitable[MCPToolApprovalFunctionResult] +] +"""A function that approves or rejects a tool call.""" + + +@dataclass +class HostedMCPTool: + """A tool that allows the LLM to use a remote MCP server. The LLM will automatically list and + call tools, without requiring a a round trip back to your code. + If you want to run MCP servers locally via stdio, in a VPC or other non-publicly-accessible + environment, or you just prefer to run tool calls locally, then you can instead use the servers + in `agents.mcp` and pass `Agent(mcp_servers=[...])` to the agent.""" + + tool_config: Mcp + """The MCP tool config, which includes the server URL and other settings.""" + + on_approval_request: MCPToolApprovalFunction | None = None + """An optional function that will be called if approval is requested for an MCP tool. If not + provided, you will need to manually add approvals/rejections to the input and call + `Runner.run(...)` again.""" + + @property + def name(self): + return "hosted_mcp" + + +Tool = Union[FunctionTool, FileSearchTool, WebSearchTool, ComputerTool, HostedMCPTool] """A tool that can be used in an agent.""" @@ -308,3 +358,13 @@ def decorator(real_func: ToolFunction[...]) -> FunctionTool: return _create_function_tool(real_func) return decorator + return decorator + return decorator + return decorator + return decorator + return decorator + return decorator + return decorator + return decorator + return decorator + return decorator From cfeac759c1982693907f491510abf59840729f16 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 21 May 2025 15:18:08 -0400 Subject: [PATCH 116/337] Add support for local shell, image generator, code interpreter tools --- examples/tools/code_interpreter.py | 34 +++++++ examples/tools/image_generator.py | 54 +++++++++++ src/agents/__init__.py | 10 +++ src/agents/_run_impl.py | 124 +++++++++++++++++++++++++- src/agents/items.py | 21 ++++- src/agents/models/openai_responses.py | 35 +++++++- src/agents/tool.py | 76 +++++++++++++--- 7 files changed, 334 insertions(+), 20 deletions(-) create mode 100644 examples/tools/code_interpreter.py create mode 100644 examples/tools/image_generator.py diff --git a/examples/tools/code_interpreter.py b/examples/tools/code_interpreter.py new file mode 100644 index 000000000..a5843ce3f --- /dev/null +++ b/examples/tools/code_interpreter.py @@ -0,0 +1,34 @@ +import asyncio + +from agents import Agent, CodeInterpreterTool, Runner, trace + + +async def main(): + agent = Agent( + name="Code interpreter", + instructions="You love doing math.", + tools=[ + CodeInterpreterTool( + tool_config={"type": "code_interpreter", "container": {"type": "auto"}}, + ) + ], + ) + + with trace("Code interpreter example"): + print("Solving math problem...") + result = Runner.run_streamed(agent, "What is the square root of273 * 312821 plus 1782?") + async for event in result.stream_events(): + if ( + event.type == "run_item_stream_event" + and event.item.type == "tool_call_item" + and event.item.raw_item.type == "code_interpreter_call" + ): + print(f"Code interpreter code:\n```\n{event.item.raw_item.code}\n```\n") + elif event.type == "run_item_stream_event": + print(f"Other event: {event.item.type}") + + print(f"Final output: {result.final_output}") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/examples/tools/image_generator.py b/examples/tools/image_generator.py new file mode 100644 index 000000000..9eee37b1d --- /dev/null +++ b/examples/tools/image_generator.py @@ -0,0 +1,54 @@ +import asyncio +import base64 +import os +import subprocess +import sys +import tempfile + +from agents import Agent, ImageGenerationTool, Runner, trace + + +def open_file(path: str) -> None: + if sys.platform.startswith("darwin"): + subprocess.run(["open", path], check=False) # macOS + elif os.name == "nt": + os.startfile(path) # type-ignore[attr-define] Windows only + elif os.name == "posix": + subprocess.run(["xdg-open", path], check=False) # Linux/Unix + else: + print(f"Don't know how to open files on this platform: {sys.platform}") + + +async def main(): + agent = Agent( + name="Image generator", + instructions="You are a helpful agent.", + tools=[ + ImageGenerationTool( + tool_config={"type": "image_generation", "quality": "low"}, + ) + ], + ) + + with trace("Image generation example"): + print("Generating image, this may take a while...") + result = await Runner.run( + agent, "Create an image of a frog eating a pizza, comic book style." + ) + print(result.final_output) + for item in result.new_items: + if ( + item.type == "tool_call_item" + and item.raw_item.type == "image_generation_call" + and (img_result := item.raw_item.result) + ): + with tempfile.NamedTemporaryFile(suffix=".png", delete=False) as tmp: + tmp.write(base64.b64decode(img_result)) + temp_path = tmp.name + + # Open the image + open_file(temp_path) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/src/agents/__init__.py b/src/agents/__init__.py index 36c26b80d..58949157a 100644 --- a/src/agents/__init__.py +++ b/src/agents/__init__.py @@ -54,11 +54,16 @@ StreamEvent, ) from .tool import ( + CodeInterpreterTool, ComputerTool, FileSearchTool, FunctionTool, FunctionToolResult, HostedMCPTool, + ImageGenerationTool, + LocalShellCommandRequest, + LocalShellExecutor, + LocalShellTool, MCPToolApprovalFunction, MCPToolApprovalFunctionResult, MCPToolApprovalRequest, @@ -210,6 +215,11 @@ def enable_verbose_stdout_logging(): "FunctionToolResult", "ComputerTool", "FileSearchTool", + "CodeInterpreterTool", + "ImageGenerationTool", + "LocalShellCommandRequest", + "LocalShellExecutor", + "LocalShellTool", "Tool", "WebSearchTool", "HostedMCPTool", diff --git a/src/agents/_run_impl.py b/src/agents/_run_impl.py index ab1e78797..2cfa270e0 100644 --- a/src/agents/_run_impl.py +++ b/src/agents/_run_impl.py @@ -14,6 +14,9 @@ ResponseFunctionWebSearch, ResponseOutputMessage, ) +from openai.types.responses.response_code_interpreter_tool_call import ( + ResponseCodeInterpreterToolCall, +) from openai.types.responses.response_computer_tool_call import ( ActionClick, ActionDoubleClick, @@ -26,7 +29,12 @@ ActionWait, ) from openai.types.responses.response_input_param import ComputerCallOutput, McpApprovalResponse -from openai.types.responses.response_output_item import McpApprovalRequest, McpCall, McpListTools +from openai.types.responses.response_output_item import ( + ImageGenerationCall, + LocalShellCall, + McpApprovalRequest, + McpListTools, +) from openai.types.responses.response_reasoning_item import ResponseReasoningItem from .agent import Agent, ToolsToFinalOutputResult @@ -61,6 +69,8 @@ FunctionTool, FunctionToolResult, HostedMCPTool, + LocalShellCommandRequest, + LocalShellTool, MCPToolApprovalRequest, Tool, ) @@ -129,12 +139,19 @@ class ToolRunMCPApprovalRequest: mcp_tool: HostedMCPTool +@dataclass +class ToolRunLocalShellCall: + tool_call: LocalShellCall + local_shell_tool: LocalShellTool + + @dataclass class ProcessedResponse: new_items: list[RunItem] handoffs: list[ToolRunHandoff] functions: list[ToolRunFunction] computer_actions: list[ToolRunComputerAction] + local_shell_calls: list[ToolRunLocalShellCall] tools_used: list[str] # Names of all tools used, including hosted tools mcp_approval_requests: list[ToolRunMCPApprovalRequest] # Only requests with callbacks @@ -146,6 +163,7 @@ def has_tools_or_approvals_to_run(self) -> bool: self.handoffs, self.functions, self.computer_actions, + self.local_shell_calls, self.mcp_approval_requests, ] ) @@ -371,11 +389,15 @@ def process_model_response( run_handoffs = [] functions = [] computer_actions = [] + local_shell_calls = [] mcp_approval_requests = [] tools_used: list[str] = [] handoff_map = {handoff.tool_name: handoff for handoff in handoffs} function_map = {tool.name: tool for tool in all_tools if isinstance(tool, FunctionTool)} computer_tool = next((tool for tool in all_tools if isinstance(tool, ComputerTool)), None) + local_shell_tool = next( + (tool for tool in all_tools if isinstance(tool, LocalShellTool)), None + ) hosted_mcp_server_map = { tool.tool_config["server_label"]: tool for tool in all_tools @@ -434,9 +456,29 @@ def process_model_response( ) elif isinstance(output, McpListTools): items.append(MCPListToolsItem(raw_item=output, agent=agent)) - elif isinstance(output, McpCall): + elif isinstance(output, ImageGenerationCall): + items.append(ToolCallItem(raw_item=output, agent=agent)) + tools_used.append("image_generation") + elif isinstance(output, ResponseCodeInterpreterToolCall): items.append(ToolCallItem(raw_item=output, agent=agent)) - tools_used.append(output.name) + tools_used.append("code_interpreter") + elif isinstance(output, LocalShellCall): + items.append(ToolCallItem(raw_item=output, agent=agent)) + tools_used.append("local_shell") + if not local_shell_tool: + _error_tracing.attach_error_to_current_span( + SpanError( + message="Local shell tool not found", + data={}, + ) + ) + raise ModelBehaviorError( + "Model produced local shell call without a local shell tool." + ) + local_shell_calls.append( + ToolRunLocalShellCall(tool_call=output, local_shell_tool=local_shell_tool) + ) + elif not isinstance(output, ResponseFunctionToolCall): logger.warning(f"Unexpected output type, ignoring: {type(output)}") continue @@ -478,6 +520,7 @@ def process_model_response( handoffs=run_handoffs, functions=functions, computer_actions=computer_actions, + local_shell_calls=local_shell_calls, tools_used=tools_used, mcp_approval_requests=mcp_approval_requests, ) @@ -552,6 +595,30 @@ async def run_single_tool( for tool_run, result in zip(tool_runs, results) ] + @classmethod + async def execute_local_shell_calls( + cls, + *, + agent: Agent[TContext], + calls: list[ToolRunLocalShellCall], + context_wrapper: RunContextWrapper[TContext], + hooks: RunHooks[TContext], + config: RunConfig, + ) -> list[RunItem]: + results: list[RunItem] = [] + # Need to run these serially, because each call can affect the local shell state + for call in calls: + results.append( + await LocalShellAction.execute( + agent=agent, + call=call, + hooks=hooks, + context_wrapper=context_wrapper, + config=config, + ) + ) + return results + @classmethod async def execute_computer_actions( cls, @@ -1021,3 +1088,54 @@ async def _get_screenshot_async( await computer.wait() return await computer.screenshot() + + +class LocalShellAction: + @classmethod + async def execute( + cls, + *, + agent: Agent[TContext], + call: ToolRunLocalShellCall, + hooks: RunHooks[TContext], + context_wrapper: RunContextWrapper[TContext], + config: RunConfig, + ) -> RunItem: + await asyncio.gather( + hooks.on_tool_start(context_wrapper, agent, call.local_shell_tool), + ( + agent.hooks.on_tool_start(context_wrapper, agent, call.local_shell_tool) + if agent.hooks + else _coro.noop_coroutine() + ), + ) + + request = LocalShellCommandRequest( + ctx_wrapper=context_wrapper, + data=call.tool_call, + ) + output = call.local_shell_tool.executor(request) + if inspect.isawaitable(output): + result = await output + else: + result = output + + await asyncio.gather( + hooks.on_tool_end(context_wrapper, agent, call.local_shell_tool, result), + ( + agent.hooks.on_tool_end(context_wrapper, agent, call.local_shell_tool, result) + if agent.hooks + else _coro.noop_coroutine() + ), + ) + + return ToolCallOutputItem( + agent=agent, + output=output, + raw_item={ + "type": "local_shell_call_output", + "id": call.tool_call.call_id, + "output": result, + # "id": "out" + call.tool_call.id, # TODO remove this, it should be optional + }, + ) diff --git a/src/agents/items.py b/src/agents/items.py index 65a911798..64797ad22 100644 --- a/src/agents/items.py +++ b/src/agents/items.py @@ -18,12 +18,22 @@ ResponseOutputText, ResponseStreamEvent, ) +from openai.types.responses.response_code_interpreter_tool_call import ( + ResponseCodeInterpreterToolCall, +) from openai.types.responses.response_input_item_param import ( ComputerCallOutput, FunctionCallOutput, + LocalShellCallOutput, McpApprovalResponse, ) -from openai.types.responses.response_output_item import McpApprovalRequest, McpCall, McpListTools +from openai.types.responses.response_output_item import ( + ImageGenerationCall, + LocalShellCall, + McpApprovalRequest, + McpCall, + McpListTools, +) from openai.types.responses.response_reasoning_item import ResponseReasoningItem from pydantic import BaseModel from typing_extensions import TypeAlias @@ -114,6 +124,9 @@ class HandoffOutputItem(RunItemBase[TResponseInputItem]): ResponseFileSearchToolCall, ResponseFunctionWebSearch, McpCall, + ResponseCodeInterpreterToolCall, + ImageGenerationCall, + LocalShellCall, ] """A type that represents a tool call item.""" @@ -129,10 +142,12 @@ class ToolCallItem(RunItemBase[ToolCallItemTypes]): @dataclass -class ToolCallOutputItem(RunItemBase[Union[FunctionCallOutput, ComputerCallOutput]]): +class ToolCallOutputItem( + RunItemBase[Union[FunctionCallOutput, ComputerCallOutput, LocalShellCallOutput]] +): """Represents the output of a tool call.""" - raw_item: FunctionCallOutput | ComputerCallOutput + raw_item: FunctionCallOutput | ComputerCallOutput | LocalShellCallOutput """The raw item from the model.""" output: Any diff --git a/src/agents/models/openai_responses.py b/src/agents/models/openai_responses.py index 65a4f5caf..86c8e69cb 100644 --- a/src/agents/models/openai_responses.py +++ b/src/agents/models/openai_responses.py @@ -24,7 +24,17 @@ from ..handoffs import Handoff from ..items import ItemHelpers, ModelResponse, TResponseInputItem from ..logger import logger -from ..tool import ComputerTool, FileSearchTool, FunctionTool, HostedMCPTool, Tool, WebSearchTool +from ..tool import ( + CodeInterpreterTool, + ComputerTool, + FileSearchTool, + FunctionTool, + HostedMCPTool, + ImageGenerationTool, + LocalShellTool, + Tool, + WebSearchTool, +) from ..tracing import SpanError, response_span from ..usage import Usage from ..version import __version__ @@ -295,6 +305,18 @@ def convert_tool_choice( return { "type": "computer_use_preview", } + elif tool_choice == "image_generation": + return { + "type": "image_generation", + } + elif tool_choice == "code_interpreter": + return { + "type": "code_interpreter", + } + elif tool_choice == "mcp": + return { + "type": "mcp", + } else: return { "type": "function", @@ -386,6 +408,17 @@ def _convert_tool(cls, tool: Tool) -> tuple[ToolParam, ResponseIncludable | None elif isinstance(tool, HostedMCPTool): converted_tool = tool.tool_config includes = None + elif isinstance(tool, ImageGenerationTool): + converted_tool = tool.tool_config + includes = None + elif isinstance(tool, CodeInterpreterTool): + converted_tool = tool.tool_config + includes = None + elif isinstance(tool, LocalShellTool): + converted_tool = { + "type": "local_shell", + } + includes = None else: raise UserError(f"Unknown tool type: {type(tool)}, tool") diff --git a/src/agents/tool.py b/src/agents/tool.py index 3bcd57c2e..fd5a21c89 100644 --- a/src/agents/tool.py +++ b/src/agents/tool.py @@ -7,8 +7,8 @@ from typing import Any, Callable, Literal, Union, overload from openai.types.responses.file_search_tool_param import Filters, RankingOptions -from openai.types.responses.response_output_item import McpApprovalRequest -from openai.types.responses.tool_param import Mcp +from openai.types.responses.response_output_item import LocalShellCall, McpApprovalRequest +from openai.types.responses.tool_param import CodeInterpreter, ImageGeneration, Mcp from openai.types.responses.web_search_tool_param import UserLocation from pydantic import ValidationError from typing_extensions import Concatenate, NotRequired, ParamSpec, TypedDict @@ -180,7 +180,67 @@ def name(self): return "hosted_mcp" -Tool = Union[FunctionTool, FileSearchTool, WebSearchTool, ComputerTool, HostedMCPTool] +@dataclass +class CodeInterpreterTool: + """A tool that allows the LLM to execute code in a sandboxed environment.""" + + tool_config: CodeInterpreter + """The tool config, which includes the container and other settings.""" + + @property + def name(self): + return "code_interpreter" + + +@dataclass +class ImageGenerationTool: + """A tool that allows the LLM to generate images.""" + + tool_config: ImageGeneration + """The tool config, which image generation settings.""" + + @property + def name(self): + return "image_generation" + + +@dataclass +class LocalShellCommandRequest: + """A request to execute a command on a shell.""" + + ctx_wrapper: RunContextWrapper[Any] + """The run context.""" + + data: LocalShellCall + """The data from the local shell tool call.""" + + +LocalShellExecutor = Callable[[LocalShellCommandRequest], MaybeAwaitable[str]] +"""A function that executes a command on a shell.""" + + +@dataclass +class LocalShellTool: + """A tool that allows the LLM to execute commands on a shell.""" + + executor: LocalShellExecutor + """A function that executes a command on a shell.""" + + @property + def name(self): + return "local_shell" + + +Tool = Union[ + FunctionTool, + FileSearchTool, + WebSearchTool, + ComputerTool, + HostedMCPTool, + LocalShellTool, + ImageGenerationTool, + CodeInterpreterTool, +] """A tool that can be used in an agent.""" @@ -358,13 +418,3 @@ def decorator(real_func: ToolFunction[...]) -> FunctionTool: return _create_function_tool(real_func) return decorator - return decorator - return decorator - return decorator - return decorator - return decorator - return decorator - return decorator - return decorator - return decorator - return decorator From c88c317404efe55c2b4b80d0ca6ff1cde264bdd9 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 21 May 2025 15:21:54 -0400 Subject: [PATCH 117/337] Add support for local shell, image generator, code interpreter tools --- examples/tools/code_interpreter.py | 34 +++++++ examples/tools/image_generator.py | 54 +++++++++++ src/agents/__init__.py | 10 +++ src/agents/_run_impl.py | 124 +++++++++++++++++++++++++- src/agents/items.py | 21 ++++- src/agents/models/openai_responses.py | 35 +++++++- src/agents/tool.py | 76 +++++++++++++--- 7 files changed, 334 insertions(+), 20 deletions(-) create mode 100644 examples/tools/code_interpreter.py create mode 100644 examples/tools/image_generator.py diff --git a/examples/tools/code_interpreter.py b/examples/tools/code_interpreter.py new file mode 100644 index 000000000..a5843ce3f --- /dev/null +++ b/examples/tools/code_interpreter.py @@ -0,0 +1,34 @@ +import asyncio + +from agents import Agent, CodeInterpreterTool, Runner, trace + + +async def main(): + agent = Agent( + name="Code interpreter", + instructions="You love doing math.", + tools=[ + CodeInterpreterTool( + tool_config={"type": "code_interpreter", "container": {"type": "auto"}}, + ) + ], + ) + + with trace("Code interpreter example"): + print("Solving math problem...") + result = Runner.run_streamed(agent, "What is the square root of273 * 312821 plus 1782?") + async for event in result.stream_events(): + if ( + event.type == "run_item_stream_event" + and event.item.type == "tool_call_item" + and event.item.raw_item.type == "code_interpreter_call" + ): + print(f"Code interpreter code:\n```\n{event.item.raw_item.code}\n```\n") + elif event.type == "run_item_stream_event": + print(f"Other event: {event.item.type}") + + print(f"Final output: {result.final_output}") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/examples/tools/image_generator.py b/examples/tools/image_generator.py new file mode 100644 index 000000000..fd6fcc6ba --- /dev/null +++ b/examples/tools/image_generator.py @@ -0,0 +1,54 @@ +import asyncio +import base64 +import os +import subprocess +import sys +import tempfile + +from agents import Agent, ImageGenerationTool, Runner, trace + + +def open_file(path: str) -> None: + if sys.platform.startswith("darwin"): + subprocess.run(["open", path], check=False) # macOS + elif os.name == "nt": # Windows + os.astartfile(path) # type: ignore + elif os.name == "posix": + subprocess.run(["xdg-open", path], check=False) # Linux/Unix + else: + print(f"Don't know how to open files on this platform: {sys.platform}") + + +async def main(): + agent = Agent( + name="Image generator", + instructions="You are a helpful agent.", + tools=[ + ImageGenerationTool( + tool_config={"type": "image_generation", "quality": "low"}, + ) + ], + ) + + with trace("Image generation example"): + print("Generating image, this may take a while...") + result = await Runner.run( + agent, "Create an image of a frog eating a pizza, comic book style." + ) + print(result.final_output) + for item in result.new_items: + if ( + item.type == "tool_call_item" + and item.raw_item.type == "image_generation_call" + and (img_result := item.raw_item.result) + ): + with tempfile.NamedTemporaryFile(suffix=".png", delete=False) as tmp: + tmp.write(base64.b64decode(img_result)) + temp_path = tmp.name + + # Open the image + open_file(temp_path) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/src/agents/__init__.py b/src/agents/__init__.py index 36c26b80d..58949157a 100644 --- a/src/agents/__init__.py +++ b/src/agents/__init__.py @@ -54,11 +54,16 @@ StreamEvent, ) from .tool import ( + CodeInterpreterTool, ComputerTool, FileSearchTool, FunctionTool, FunctionToolResult, HostedMCPTool, + ImageGenerationTool, + LocalShellCommandRequest, + LocalShellExecutor, + LocalShellTool, MCPToolApprovalFunction, MCPToolApprovalFunctionResult, MCPToolApprovalRequest, @@ -210,6 +215,11 @@ def enable_verbose_stdout_logging(): "FunctionToolResult", "ComputerTool", "FileSearchTool", + "CodeInterpreterTool", + "ImageGenerationTool", + "LocalShellCommandRequest", + "LocalShellExecutor", + "LocalShellTool", "Tool", "WebSearchTool", "HostedMCPTool", diff --git a/src/agents/_run_impl.py b/src/agents/_run_impl.py index ab1e78797..2cfa270e0 100644 --- a/src/agents/_run_impl.py +++ b/src/agents/_run_impl.py @@ -14,6 +14,9 @@ ResponseFunctionWebSearch, ResponseOutputMessage, ) +from openai.types.responses.response_code_interpreter_tool_call import ( + ResponseCodeInterpreterToolCall, +) from openai.types.responses.response_computer_tool_call import ( ActionClick, ActionDoubleClick, @@ -26,7 +29,12 @@ ActionWait, ) from openai.types.responses.response_input_param import ComputerCallOutput, McpApprovalResponse -from openai.types.responses.response_output_item import McpApprovalRequest, McpCall, McpListTools +from openai.types.responses.response_output_item import ( + ImageGenerationCall, + LocalShellCall, + McpApprovalRequest, + McpListTools, +) from openai.types.responses.response_reasoning_item import ResponseReasoningItem from .agent import Agent, ToolsToFinalOutputResult @@ -61,6 +69,8 @@ FunctionTool, FunctionToolResult, HostedMCPTool, + LocalShellCommandRequest, + LocalShellTool, MCPToolApprovalRequest, Tool, ) @@ -129,12 +139,19 @@ class ToolRunMCPApprovalRequest: mcp_tool: HostedMCPTool +@dataclass +class ToolRunLocalShellCall: + tool_call: LocalShellCall + local_shell_tool: LocalShellTool + + @dataclass class ProcessedResponse: new_items: list[RunItem] handoffs: list[ToolRunHandoff] functions: list[ToolRunFunction] computer_actions: list[ToolRunComputerAction] + local_shell_calls: list[ToolRunLocalShellCall] tools_used: list[str] # Names of all tools used, including hosted tools mcp_approval_requests: list[ToolRunMCPApprovalRequest] # Only requests with callbacks @@ -146,6 +163,7 @@ def has_tools_or_approvals_to_run(self) -> bool: self.handoffs, self.functions, self.computer_actions, + self.local_shell_calls, self.mcp_approval_requests, ] ) @@ -371,11 +389,15 @@ def process_model_response( run_handoffs = [] functions = [] computer_actions = [] + local_shell_calls = [] mcp_approval_requests = [] tools_used: list[str] = [] handoff_map = {handoff.tool_name: handoff for handoff in handoffs} function_map = {tool.name: tool for tool in all_tools if isinstance(tool, FunctionTool)} computer_tool = next((tool for tool in all_tools if isinstance(tool, ComputerTool)), None) + local_shell_tool = next( + (tool for tool in all_tools if isinstance(tool, LocalShellTool)), None + ) hosted_mcp_server_map = { tool.tool_config["server_label"]: tool for tool in all_tools @@ -434,9 +456,29 @@ def process_model_response( ) elif isinstance(output, McpListTools): items.append(MCPListToolsItem(raw_item=output, agent=agent)) - elif isinstance(output, McpCall): + elif isinstance(output, ImageGenerationCall): + items.append(ToolCallItem(raw_item=output, agent=agent)) + tools_used.append("image_generation") + elif isinstance(output, ResponseCodeInterpreterToolCall): items.append(ToolCallItem(raw_item=output, agent=agent)) - tools_used.append(output.name) + tools_used.append("code_interpreter") + elif isinstance(output, LocalShellCall): + items.append(ToolCallItem(raw_item=output, agent=agent)) + tools_used.append("local_shell") + if not local_shell_tool: + _error_tracing.attach_error_to_current_span( + SpanError( + message="Local shell tool not found", + data={}, + ) + ) + raise ModelBehaviorError( + "Model produced local shell call without a local shell tool." + ) + local_shell_calls.append( + ToolRunLocalShellCall(tool_call=output, local_shell_tool=local_shell_tool) + ) + elif not isinstance(output, ResponseFunctionToolCall): logger.warning(f"Unexpected output type, ignoring: {type(output)}") continue @@ -478,6 +520,7 @@ def process_model_response( handoffs=run_handoffs, functions=functions, computer_actions=computer_actions, + local_shell_calls=local_shell_calls, tools_used=tools_used, mcp_approval_requests=mcp_approval_requests, ) @@ -552,6 +595,30 @@ async def run_single_tool( for tool_run, result in zip(tool_runs, results) ] + @classmethod + async def execute_local_shell_calls( + cls, + *, + agent: Agent[TContext], + calls: list[ToolRunLocalShellCall], + context_wrapper: RunContextWrapper[TContext], + hooks: RunHooks[TContext], + config: RunConfig, + ) -> list[RunItem]: + results: list[RunItem] = [] + # Need to run these serially, because each call can affect the local shell state + for call in calls: + results.append( + await LocalShellAction.execute( + agent=agent, + call=call, + hooks=hooks, + context_wrapper=context_wrapper, + config=config, + ) + ) + return results + @classmethod async def execute_computer_actions( cls, @@ -1021,3 +1088,54 @@ async def _get_screenshot_async( await computer.wait() return await computer.screenshot() + + +class LocalShellAction: + @classmethod + async def execute( + cls, + *, + agent: Agent[TContext], + call: ToolRunLocalShellCall, + hooks: RunHooks[TContext], + context_wrapper: RunContextWrapper[TContext], + config: RunConfig, + ) -> RunItem: + await asyncio.gather( + hooks.on_tool_start(context_wrapper, agent, call.local_shell_tool), + ( + agent.hooks.on_tool_start(context_wrapper, agent, call.local_shell_tool) + if agent.hooks + else _coro.noop_coroutine() + ), + ) + + request = LocalShellCommandRequest( + ctx_wrapper=context_wrapper, + data=call.tool_call, + ) + output = call.local_shell_tool.executor(request) + if inspect.isawaitable(output): + result = await output + else: + result = output + + await asyncio.gather( + hooks.on_tool_end(context_wrapper, agent, call.local_shell_tool, result), + ( + agent.hooks.on_tool_end(context_wrapper, agent, call.local_shell_tool, result) + if agent.hooks + else _coro.noop_coroutine() + ), + ) + + return ToolCallOutputItem( + agent=agent, + output=output, + raw_item={ + "type": "local_shell_call_output", + "id": call.tool_call.call_id, + "output": result, + # "id": "out" + call.tool_call.id, # TODO remove this, it should be optional + }, + ) diff --git a/src/agents/items.py b/src/agents/items.py index 65a911798..64797ad22 100644 --- a/src/agents/items.py +++ b/src/agents/items.py @@ -18,12 +18,22 @@ ResponseOutputText, ResponseStreamEvent, ) +from openai.types.responses.response_code_interpreter_tool_call import ( + ResponseCodeInterpreterToolCall, +) from openai.types.responses.response_input_item_param import ( ComputerCallOutput, FunctionCallOutput, + LocalShellCallOutput, McpApprovalResponse, ) -from openai.types.responses.response_output_item import McpApprovalRequest, McpCall, McpListTools +from openai.types.responses.response_output_item import ( + ImageGenerationCall, + LocalShellCall, + McpApprovalRequest, + McpCall, + McpListTools, +) from openai.types.responses.response_reasoning_item import ResponseReasoningItem from pydantic import BaseModel from typing_extensions import TypeAlias @@ -114,6 +124,9 @@ class HandoffOutputItem(RunItemBase[TResponseInputItem]): ResponseFileSearchToolCall, ResponseFunctionWebSearch, McpCall, + ResponseCodeInterpreterToolCall, + ImageGenerationCall, + LocalShellCall, ] """A type that represents a tool call item.""" @@ -129,10 +142,12 @@ class ToolCallItem(RunItemBase[ToolCallItemTypes]): @dataclass -class ToolCallOutputItem(RunItemBase[Union[FunctionCallOutput, ComputerCallOutput]]): +class ToolCallOutputItem( + RunItemBase[Union[FunctionCallOutput, ComputerCallOutput, LocalShellCallOutput]] +): """Represents the output of a tool call.""" - raw_item: FunctionCallOutput | ComputerCallOutput + raw_item: FunctionCallOutput | ComputerCallOutput | LocalShellCallOutput """The raw item from the model.""" output: Any diff --git a/src/agents/models/openai_responses.py b/src/agents/models/openai_responses.py index 65a4f5caf..86c8e69cb 100644 --- a/src/agents/models/openai_responses.py +++ b/src/agents/models/openai_responses.py @@ -24,7 +24,17 @@ from ..handoffs import Handoff from ..items import ItemHelpers, ModelResponse, TResponseInputItem from ..logger import logger -from ..tool import ComputerTool, FileSearchTool, FunctionTool, HostedMCPTool, Tool, WebSearchTool +from ..tool import ( + CodeInterpreterTool, + ComputerTool, + FileSearchTool, + FunctionTool, + HostedMCPTool, + ImageGenerationTool, + LocalShellTool, + Tool, + WebSearchTool, +) from ..tracing import SpanError, response_span from ..usage import Usage from ..version import __version__ @@ -295,6 +305,18 @@ def convert_tool_choice( return { "type": "computer_use_preview", } + elif tool_choice == "image_generation": + return { + "type": "image_generation", + } + elif tool_choice == "code_interpreter": + return { + "type": "code_interpreter", + } + elif tool_choice == "mcp": + return { + "type": "mcp", + } else: return { "type": "function", @@ -386,6 +408,17 @@ def _convert_tool(cls, tool: Tool) -> tuple[ToolParam, ResponseIncludable | None elif isinstance(tool, HostedMCPTool): converted_tool = tool.tool_config includes = None + elif isinstance(tool, ImageGenerationTool): + converted_tool = tool.tool_config + includes = None + elif isinstance(tool, CodeInterpreterTool): + converted_tool = tool.tool_config + includes = None + elif isinstance(tool, LocalShellTool): + converted_tool = { + "type": "local_shell", + } + includes = None else: raise UserError(f"Unknown tool type: {type(tool)}, tool") diff --git a/src/agents/tool.py b/src/agents/tool.py index 3bcd57c2e..fd5a21c89 100644 --- a/src/agents/tool.py +++ b/src/agents/tool.py @@ -7,8 +7,8 @@ from typing import Any, Callable, Literal, Union, overload from openai.types.responses.file_search_tool_param import Filters, RankingOptions -from openai.types.responses.response_output_item import McpApprovalRequest -from openai.types.responses.tool_param import Mcp +from openai.types.responses.response_output_item import LocalShellCall, McpApprovalRequest +from openai.types.responses.tool_param import CodeInterpreter, ImageGeneration, Mcp from openai.types.responses.web_search_tool_param import UserLocation from pydantic import ValidationError from typing_extensions import Concatenate, NotRequired, ParamSpec, TypedDict @@ -180,7 +180,67 @@ def name(self): return "hosted_mcp" -Tool = Union[FunctionTool, FileSearchTool, WebSearchTool, ComputerTool, HostedMCPTool] +@dataclass +class CodeInterpreterTool: + """A tool that allows the LLM to execute code in a sandboxed environment.""" + + tool_config: CodeInterpreter + """The tool config, which includes the container and other settings.""" + + @property + def name(self): + return "code_interpreter" + + +@dataclass +class ImageGenerationTool: + """A tool that allows the LLM to generate images.""" + + tool_config: ImageGeneration + """The tool config, which image generation settings.""" + + @property + def name(self): + return "image_generation" + + +@dataclass +class LocalShellCommandRequest: + """A request to execute a command on a shell.""" + + ctx_wrapper: RunContextWrapper[Any] + """The run context.""" + + data: LocalShellCall + """The data from the local shell tool call.""" + + +LocalShellExecutor = Callable[[LocalShellCommandRequest], MaybeAwaitable[str]] +"""A function that executes a command on a shell.""" + + +@dataclass +class LocalShellTool: + """A tool that allows the LLM to execute commands on a shell.""" + + executor: LocalShellExecutor + """A function that executes a command on a shell.""" + + @property + def name(self): + return "local_shell" + + +Tool = Union[ + FunctionTool, + FileSearchTool, + WebSearchTool, + ComputerTool, + HostedMCPTool, + LocalShellTool, + ImageGenerationTool, + CodeInterpreterTool, +] """A tool that can be used in an agent.""" @@ -358,13 +418,3 @@ def decorator(real_func: ToolFunction[...]) -> FunctionTool: return _create_function_tool(real_func) return decorator - return decorator - return decorator - return decorator - return decorator - return decorator - return decorator - return decorator - return decorator - return decorator - return decorator From ea7d01ec78a63c1365e8eea0a977d2a6fdca87af Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 21 May 2025 15:47:12 -0400 Subject: [PATCH 118/337] v0.0.16 --- pyproject.toml | 2 +- uv.lock | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 200ac2485..38a2f2b64 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "openai-agents" -version = "0.0.15" +version = "0.0.16" description = "OpenAI Agents SDK" readme = "README.md" requires-python = ">=3.9" diff --git a/uv.lock b/uv.lock index 7a0cb1e6b..6f2f3f843 100644 --- a/uv.lock +++ b/uv.lock @@ -1480,7 +1480,7 @@ wheels = [ [[package]] name = "openai-agents" -version = "0.0.15" +version = "0.0.16" source = { editable = "." } dependencies = [ { name = "griffe" }, From 76992ded913229fc03e182d45091885e91c8cba0 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 30 May 2025 11:52:59 -0400 Subject: [PATCH 119/337] Add comment to handoff_occured misspelling --- src/agents/stream_events.py | 1 + 1 file changed, 1 insertion(+) diff --git a/src/agents/stream_events.py b/src/agents/stream_events.py index 111d0b951..a271e8acd 100644 --- a/src/agents/stream_events.py +++ b/src/agents/stream_events.py @@ -31,6 +31,7 @@ class RunItemStreamEvent: name: Literal[ "message_output_created", "handoff_requested", + # This is misspelled, but we can't change it because that would be a breaking change "handoff_occured", "tool_called", "tool_output", From b63a1575a38f3e4b283a9ef4ae33f4422b876da1 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 2 Jun 2025 14:08:56 -0400 Subject: [PATCH 120/337] Don't cache agent tools during a run ### Summary: Towards #767. We were caching the list of tools for an agent, so if you did `agent.tools.append(...)` from a tool call, the next call to the model wouldn't include the new tool. THis is a bug. ### Test Plan: Unit tests. Note that now MCP tools are listed each time the agent runs (users can still cache the `list_tools` however). --- src/agents/run.py | 15 +++---- tests/mcp/test_mcp_tracing.py | 66 ++++++++++++++++++----------- tests/test_agent_runner.py | 35 +++++++++++++++ tests/test_agent_runner_streamed.py | 37 ++++++++++++++++ 4 files changed, 120 insertions(+), 33 deletions(-) diff --git a/src/agents/run.py b/src/agents/run.py index c67386495..bfbdacd45 100644 --- a/src/agents/run.py +++ b/src/agents/run.py @@ -1,4 +1,3 @@ - from __future__ import annotations import asyncio @@ -182,6 +181,8 @@ async def run( try: while True: + all_tools = await cls._get_all_tools(current_agent) + # Start an agent span if we don't have one. This span is ended if the current # agent changes, or if the agent loop ends. if current_span is None: @@ -197,8 +198,6 @@ async def run( output_type=output_type_name, ) current_span.start(mark_as_current=True) - - all_tools = await cls._get_all_tools(current_agent) current_span.span_data.tools = [t.name for t in all_tools] current_turn += 1 @@ -210,9 +209,7 @@ async def run( data={"max_turns": max_turns}, ), ) - raise MaxTurnsExceeded( - f"Max turns ({max_turns}) exceeded" - ) + raise MaxTurnsExceeded(f"Max turns ({max_turns}) exceeded") logger.debug( f"Running agent {current_agent.name} (turn {current_turn})", @@ -295,7 +292,7 @@ async def run( last_agent=current_agent, context_wrapper=context_wrapper, input_guardrail_results=input_guardrail_results, - output_guardrail_results=[] + output_guardrail_results=[], ) raise finally: @@ -528,6 +525,8 @@ async def _run_streamed_impl( if streamed_result.is_complete: break + all_tools = await cls._get_all_tools(current_agent) + # Start an agent span if we don't have one. This span is ended if the current # agent changes, or if the agent loop ends. if current_span is None: @@ -543,8 +542,6 @@ async def _run_streamed_impl( output_type=output_type_name, ) current_span.start(mark_as_current=True) - - all_tools = await cls._get_all_tools(current_agent) tool_names = [t.name for t in all_tools] current_span.span_data.tools = tool_names current_turn += 1 diff --git a/tests/mcp/test_mcp_tracing.py b/tests/mcp/test_mcp_tracing.py index b71954b5b..678e539e3 100644 --- a/tests/mcp/test_mcp_tracing.py +++ b/tests/mcp/test_mcp_tracing.py @@ -44,6 +44,10 @@ async def test_mcp_tracing(): { "workflow_name": "Agent workflow", "children": [ + { + "type": "mcp_tools", + "data": {"server": "fake_mcp_server", "result": ["test_tool_1"]}, + }, { "type": "agent", "data": { @@ -53,21 +57,21 @@ async def test_mcp_tracing(): "output_type": "str", }, "children": [ - { - "type": "mcp_tools", - "data": {"server": "fake_mcp_server", "result": ["test_tool_1"]}, - }, { "type": "function", "data": { "name": "test_tool_1", "input": "", - "output": '{"type":"text","text":"result_test_tool_1_{}","annotations":null}', # noqa: E501 + "output": '{"type":"text","text":"result_test_tool_1_{}","annotations":null}', "mcp_data": {"server": "fake_mcp_server"}, }, }, + { + "type": "mcp_tools", + "data": {"server": "fake_mcp_server", "result": ["test_tool_1"]}, + }, ], - } + }, ], } ] @@ -100,6 +104,13 @@ async def test_mcp_tracing(): { "workflow_name": "Agent workflow", "children": [ + { + "type": "mcp_tools", + "data": { + "server": "fake_mcp_server", + "result": ["test_tool_1", "test_tool_2"], + }, + }, { "type": "agent", "data": { @@ -109,13 +120,6 @@ async def test_mcp_tracing(): "output_type": "str", }, "children": [ - { - "type": "mcp_tools", - "data": { - "server": "fake_mcp_server", - "result": ["test_tool_1", "test_tool_2"], - }, - }, { "type": "function", "data": { @@ -129,12 +133,19 @@ async def test_mcp_tracing(): "data": { "name": "test_tool_2", "input": "", - "output": '{"type":"text","text":"result_test_tool_2_{}","annotations":null}', # noqa: E501 + "output": '{"type":"text","text":"result_test_tool_2_{}","annotations":null}', "mcp_data": {"server": "fake_mcp_server"}, }, }, + { + "type": "mcp_tools", + "data": { + "server": "fake_mcp_server", + "result": ["test_tool_1", "test_tool_2"], + }, + }, ], - } + }, ], } ] @@ -165,6 +176,13 @@ async def test_mcp_tracing(): { "workflow_name": "Agent workflow", "children": [ + { + "type": "mcp_tools", + "data": { + "server": "fake_mcp_server", + "result": ["test_tool_1", "test_tool_2", "test_tool_3"], + }, + }, { "type": "agent", "data": { @@ -174,24 +192,24 @@ async def test_mcp_tracing(): "output_type": "str", }, "children": [ - { - "type": "mcp_tools", - "data": { - "server": "fake_mcp_server", - "result": ["test_tool_1", "test_tool_2", "test_tool_3"], - }, - }, { "type": "function", "data": { "name": "test_tool_3", "input": "", - "output": '{"type":"text","text":"result_test_tool_3_{}","annotations":null}', # noqa: E501 + "output": '{"type":"text","text":"result_test_tool_3_{}","annotations":null}', "mcp_data": {"server": "fake_mcp_server"}, }, }, + { + "type": "mcp_tools", + "data": { + "server": "fake_mcp_server", + "result": ["test_tool_1", "test_tool_2", "test_tool_3"], + }, + }, ], - } + }, ], } ] diff --git a/tests/test_agent_runner.py b/tests/test_agent_runner.py index 14a278a90..77eb8019e 100644 --- a/tests/test_agent_runner.py +++ b/tests/test_agent_runner.py @@ -745,3 +745,38 @@ async def test_previous_response_id_passed_between_runs_streamed_multi_turn(): pass assert model.last_turn_args.get("previous_response_id") == "resp-stream-test" + + +@pytest.mark.asyncio +async def test_dynamic_tool_addition_run() -> None: + """Test that tools can be added to an agent during a run.""" + model = FakeModel() + + executed: dict[str, bool] = {"called": False} + + agent = Agent(name="test", model=model, tool_use_behavior="run_llm_again") + + @function_tool(name_override="tool2") + def tool2() -> str: + executed["called"] = True + return "result2" + + @function_tool(name_override="add_tool") + async def add_tool() -> str: + agent.tools.append(tool2) + return "added" + + agent.tools.append(add_tool) + + model.add_multiple_turn_outputs( + [ + [get_function_tool_call("add_tool", json.dumps({}))], + [get_function_tool_call("tool2", json.dumps({}))], + [get_text_message("done")], + ] + ) + + result = await Runner.run(agent, input="start") + + assert executed["called"] is True + assert result.final_output == "done" diff --git a/tests/test_agent_runner_streamed.py b/tests/test_agent_runner_streamed.py index 87a76a706..31fe2979b 100644 --- a/tests/test_agent_runner_streamed.py +++ b/tests/test_agent_runner_streamed.py @@ -18,6 +18,7 @@ RunContextWrapper, Runner, UserError, + function_tool, handoff, ) from agents.items import RunItem @@ -684,3 +685,39 @@ async def test_streaming_events(): assert len(agent_data) == 2, "should have 2 agent updated events" assert agent_data[0].new_agent == agent_2, "should have started with agent_2" assert agent_data[1].new_agent == agent_1, "should have handed off to agent_1" + + +@pytest.mark.asyncio +async def test_dynamic_tool_addition_run_streamed() -> None: + model = FakeModel() + + executed: dict[str, bool] = {"called": False} + + agent = Agent(name="test", model=model, tool_use_behavior="run_llm_again") + + @function_tool(name_override="tool2") + def tool2() -> str: + executed["called"] = True + return "result2" + + @function_tool(name_override="add_tool") + async def add_tool() -> str: + agent.tools.append(tool2) + return "added" + + agent.tools.append(add_tool) + + model.add_multiple_turn_outputs( + [ + [get_function_tool_call("add_tool", json.dumps({}))], + [get_function_tool_call("tool2", json.dumps({}))], + [get_text_message("done")], + ] + ) + + result = Runner.run_streamed(agent, input="start") + async for _ in result.stream_events(): + pass + + assert executed["called"] is True + assert result.final_output == "done" From 682f49cb9b16ae7880ba787f2958fa36b0610422 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 2 Jun 2025 14:08:56 -0400 Subject: [PATCH 121/337] Don't cache agent tools during a run ### Summary: Towards #767. We were caching the list of tools for an agent, so if you did `agent.tools.append(...)` from a tool call, the next call to the model wouldn't include the new tool. THis is a bug. ### Test Plan: Unit tests. Note that now MCP tools are listed each time the agent runs (users can still cache the `list_tools` however). --- src/agents/exceptions.py | 2 + src/agents/extensions/models/litellm_model.py | 6 +- src/agents/mcp/server.py | 10 ++-- src/agents/result.py | 1 - src/agents/run.py | 15 ++--- src/agents/voice/model.py | 2 + tests/mcp/test_mcp_tracing.py | 60 ++++++++++++------- tests/models/test_litellm_extra_body.py | 3 +- tests/test_agent_runner.py | 35 +++++++++++ tests/test_agent_runner_streamed.py | 37 ++++++++++++ tests/test_run_error_details.py | 20 ++++--- 11 files changed, 143 insertions(+), 48 deletions(-) diff --git a/src/agents/exceptions.py b/src/agents/exceptions.py index 4f6e2e768..c00024c2e 100644 --- a/src/agents/exceptions.py +++ b/src/agents/exceptions.py @@ -15,6 +15,7 @@ @dataclass class RunErrorDetails: """Data collected from an agent run when an exception occurs.""" + input: str | list[TResponseInputItem] new_items: list[RunItem] raw_responses: list[ModelResponse] @@ -29,6 +30,7 @@ def __str__(self) -> str: class AgentsException(Exception): """Base class for all exceptions in the Agents SDK.""" + run_data: RunErrorDetails | None def __init__(self, *args: object) -> None: diff --git a/src/agents/extensions/models/litellm_model.py b/src/agents/extensions/models/litellm_model.py index 14130c5e3..7cf7a2de5 100644 --- a/src/agents/extensions/models/litellm_model.py +++ b/src/agents/extensions/models/litellm_model.py @@ -110,12 +110,14 @@ async def get_response( input_tokens_details=InputTokensDetails( cached_tokens=getattr( response_usage.prompt_tokens_details, "cached_tokens", 0 - ) or 0 + ) + or 0 ), output_tokens_details=OutputTokensDetails( reasoning_tokens=getattr( response_usage.completion_tokens_details, "reasoning_tokens", 0 - ) or 0 + ) + or 0 ), ) if response.usage diff --git a/src/agents/mcp/server.py b/src/agents/mcp/server.py index 414b517ab..b012a0968 100644 --- a/src/agents/mcp/server.py +++ b/src/agents/mcp/server.py @@ -88,7 +88,7 @@ def create_streams( tuple[ MemoryObjectReceiveStream[SessionMessage | Exception], MemoryObjectSendStream[SessionMessage], - GetSessionIdCallback | None + GetSessionIdCallback | None, ] ]: """Create the streams for the server.""" @@ -243,7 +243,7 @@ def create_streams( tuple[ MemoryObjectReceiveStream[SessionMessage | Exception], MemoryObjectSendStream[SessionMessage], - GetSessionIdCallback | None + GetSessionIdCallback | None, ] ]: """Create the streams for the server.""" @@ -314,7 +314,7 @@ def create_streams( tuple[ MemoryObjectReceiveStream[SessionMessage | Exception], MemoryObjectSendStream[SessionMessage], - GetSessionIdCallback | None + GetSessionIdCallback | None, ] ]: """Create the streams for the server.""" @@ -394,7 +394,7 @@ def create_streams( tuple[ MemoryObjectReceiveStream[SessionMessage | Exception], MemoryObjectSendStream[SessionMessage], - GetSessionIdCallback | None + GetSessionIdCallback | None, ] ]: """Create the streams for the server.""" @@ -403,7 +403,7 @@ def create_streams( headers=self.params.get("headers", None), timeout=self.params.get("timeout", timedelta(seconds=30)), sse_read_timeout=self.params.get("sse_read_timeout", timedelta(seconds=60 * 5)), - terminate_on_close=self.params.get("terminate_on_close", True) + terminate_on_close=self.params.get("terminate_on_close", True), ) @property diff --git a/src/agents/result.py b/src/agents/result.py index 764815246..5cf0e74c8 100644 --- a/src/agents/result.py +++ b/src/agents/result.py @@ -274,4 +274,3 @@ def _cleanup_tasks(self): def __str__(self) -> str: return pretty_print_run_result_streaming(self) - diff --git a/src/agents/run.py b/src/agents/run.py index c67386495..bfbdacd45 100644 --- a/src/agents/run.py +++ b/src/agents/run.py @@ -1,4 +1,3 @@ - from __future__ import annotations import asyncio @@ -182,6 +181,8 @@ async def run( try: while True: + all_tools = await cls._get_all_tools(current_agent) + # Start an agent span if we don't have one. This span is ended if the current # agent changes, or if the agent loop ends. if current_span is None: @@ -197,8 +198,6 @@ async def run( output_type=output_type_name, ) current_span.start(mark_as_current=True) - - all_tools = await cls._get_all_tools(current_agent) current_span.span_data.tools = [t.name for t in all_tools] current_turn += 1 @@ -210,9 +209,7 @@ async def run( data={"max_turns": max_turns}, ), ) - raise MaxTurnsExceeded( - f"Max turns ({max_turns}) exceeded" - ) + raise MaxTurnsExceeded(f"Max turns ({max_turns}) exceeded") logger.debug( f"Running agent {current_agent.name} (turn {current_turn})", @@ -295,7 +292,7 @@ async def run( last_agent=current_agent, context_wrapper=context_wrapper, input_guardrail_results=input_guardrail_results, - output_guardrail_results=[] + output_guardrail_results=[], ) raise finally: @@ -528,6 +525,8 @@ async def _run_streamed_impl( if streamed_result.is_complete: break + all_tools = await cls._get_all_tools(current_agent) + # Start an agent span if we don't have one. This span is ended if the current # agent changes, or if the agent loop ends. if current_span is None: @@ -543,8 +542,6 @@ async def _run_streamed_impl( output_type=output_type_name, ) current_span.start(mark_as_current=True) - - all_tools = await cls._get_all_tools(current_agent) tool_names = [t.name for t in all_tools] current_span.span_data.tools = tool_names current_turn += 1 diff --git a/src/agents/voice/model.py b/src/agents/voice/model.py index c36a4de76..b048a452d 100644 --- a/src/agents/voice/model.py +++ b/src/agents/voice/model.py @@ -17,9 +17,11 @@ TTSVoice = Literal["alloy", "ash", "coral", "echo", "fable", "onyx", "nova", "sage", "shimmer"] """Exportable type for the TTSModelSettings voice enum""" + @dataclass class TTSModelSettings: """Settings for a TTS model.""" + voice: TTSVoice | None = None """ The voice to use for the TTS model. If not provided, the default voice for the respective model diff --git a/tests/mcp/test_mcp_tracing.py b/tests/mcp/test_mcp_tracing.py index b71954b5b..54575dcb5 100644 --- a/tests/mcp/test_mcp_tracing.py +++ b/tests/mcp/test_mcp_tracing.py @@ -44,6 +44,10 @@ async def test_mcp_tracing(): { "workflow_name": "Agent workflow", "children": [ + { + "type": "mcp_tools", + "data": {"server": "fake_mcp_server", "result": ["test_tool_1"]}, + }, { "type": "agent", "data": { @@ -53,10 +57,6 @@ async def test_mcp_tracing(): "output_type": "str", }, "children": [ - { - "type": "mcp_tools", - "data": {"server": "fake_mcp_server", "result": ["test_tool_1"]}, - }, { "type": "function", "data": { @@ -66,8 +66,12 @@ async def test_mcp_tracing(): "mcp_data": {"server": "fake_mcp_server"}, }, }, + { + "type": "mcp_tools", + "data": {"server": "fake_mcp_server", "result": ["test_tool_1"]}, + }, ], - } + }, ], } ] @@ -100,6 +104,13 @@ async def test_mcp_tracing(): { "workflow_name": "Agent workflow", "children": [ + { + "type": "mcp_tools", + "data": { + "server": "fake_mcp_server", + "result": ["test_tool_1", "test_tool_2"], + }, + }, { "type": "agent", "data": { @@ -109,13 +120,6 @@ async def test_mcp_tracing(): "output_type": "str", }, "children": [ - { - "type": "mcp_tools", - "data": { - "server": "fake_mcp_server", - "result": ["test_tool_1", "test_tool_2"], - }, - }, { "type": "function", "data": { @@ -133,8 +137,15 @@ async def test_mcp_tracing(): "mcp_data": {"server": "fake_mcp_server"}, }, }, + { + "type": "mcp_tools", + "data": { + "server": "fake_mcp_server", + "result": ["test_tool_1", "test_tool_2"], + }, + }, ], - } + }, ], } ] @@ -165,6 +176,13 @@ async def test_mcp_tracing(): { "workflow_name": "Agent workflow", "children": [ + { + "type": "mcp_tools", + "data": { + "server": "fake_mcp_server", + "result": ["test_tool_1", "test_tool_2", "test_tool_3"], + }, + }, { "type": "agent", "data": { @@ -174,13 +192,6 @@ async def test_mcp_tracing(): "output_type": "str", }, "children": [ - { - "type": "mcp_tools", - "data": { - "server": "fake_mcp_server", - "result": ["test_tool_1", "test_tool_2", "test_tool_3"], - }, - }, { "type": "function", "data": { @@ -190,8 +201,15 @@ async def test_mcp_tracing(): "mcp_data": {"server": "fake_mcp_server"}, }, }, + { + "type": "mcp_tools", + "data": { + "server": "fake_mcp_server", + "result": ["test_tool_1", "test_tool_2", "test_tool_3"], + }, + }, ], - } + }, ], } ] diff --git a/tests/models/test_litellm_extra_body.py b/tests/models/test_litellm_extra_body.py index ac56c25cf..3c83b0607 100644 --- a/tests/models/test_litellm_extra_body.py +++ b/tests/models/test_litellm_extra_body.py @@ -26,8 +26,7 @@ async def fake_acompletion(model, messages=None, **kwargs): monkeypatch.setattr(litellm, "acompletion", fake_acompletion) settings = ModelSettings( - temperature=0.1, - extra_body={"cached_content": "some_cache", "foo": 123} + temperature=0.1, extra_body={"cached_content": "some_cache", "foo": 123} ) model = LitellmModel(model="test-model") diff --git a/tests/test_agent_runner.py b/tests/test_agent_runner.py index 14a278a90..77eb8019e 100644 --- a/tests/test_agent_runner.py +++ b/tests/test_agent_runner.py @@ -745,3 +745,38 @@ async def test_previous_response_id_passed_between_runs_streamed_multi_turn(): pass assert model.last_turn_args.get("previous_response_id") == "resp-stream-test" + + +@pytest.mark.asyncio +async def test_dynamic_tool_addition_run() -> None: + """Test that tools can be added to an agent during a run.""" + model = FakeModel() + + executed: dict[str, bool] = {"called": False} + + agent = Agent(name="test", model=model, tool_use_behavior="run_llm_again") + + @function_tool(name_override="tool2") + def tool2() -> str: + executed["called"] = True + return "result2" + + @function_tool(name_override="add_tool") + async def add_tool() -> str: + agent.tools.append(tool2) + return "added" + + agent.tools.append(add_tool) + + model.add_multiple_turn_outputs( + [ + [get_function_tool_call("add_tool", json.dumps({}))], + [get_function_tool_call("tool2", json.dumps({}))], + [get_text_message("done")], + ] + ) + + result = await Runner.run(agent, input="start") + + assert executed["called"] is True + assert result.final_output == "done" diff --git a/tests/test_agent_runner_streamed.py b/tests/test_agent_runner_streamed.py index 87a76a706..31fe2979b 100644 --- a/tests/test_agent_runner_streamed.py +++ b/tests/test_agent_runner_streamed.py @@ -18,6 +18,7 @@ RunContextWrapper, Runner, UserError, + function_tool, handoff, ) from agents.items import RunItem @@ -684,3 +685,39 @@ async def test_streaming_events(): assert len(agent_data) == 2, "should have 2 agent updated events" assert agent_data[0].new_agent == agent_2, "should have started with agent_2" assert agent_data[1].new_agent == agent_1, "should have handed off to agent_1" + + +@pytest.mark.asyncio +async def test_dynamic_tool_addition_run_streamed() -> None: + model = FakeModel() + + executed: dict[str, bool] = {"called": False} + + agent = Agent(name="test", model=model, tool_use_behavior="run_llm_again") + + @function_tool(name_override="tool2") + def tool2() -> str: + executed["called"] = True + return "result2" + + @function_tool(name_override="add_tool") + async def add_tool() -> str: + agent.tools.append(tool2) + return "added" + + agent.tools.append(add_tool) + + model.add_multiple_turn_outputs( + [ + [get_function_tool_call("add_tool", json.dumps({}))], + [get_function_tool_call("tool2", json.dumps({}))], + [get_text_message("done")], + ] + ) + + result = Runner.run_streamed(agent, input="start") + async for _ in result.stream_events(): + pass + + assert executed["called"] is True + assert result.final_output == "done" diff --git a/tests/test_run_error_details.py b/tests/test_run_error_details.py index 2268b3780..104b248fc 100644 --- a/tests/test_run_error_details.py +++ b/tests/test_run_error_details.py @@ -12,10 +12,12 @@ async def test_run_error_includes_data(): model = FakeModel() agent = Agent(name="test", model=model, tools=[get_function_tool("foo", "res")]) - model.add_multiple_turn_outputs([ - [get_text_message("1"), get_function_tool_call("foo", json.dumps({"a": "b"}))], - [get_text_message("done")], - ]) + model.add_multiple_turn_outputs( + [ + [get_text_message("1"), get_function_tool_call("foo", json.dumps({"a": "b"}))], + [get_text_message("done")], + ] + ) with pytest.raises(MaxTurnsExceeded) as exc: await Runner.run(agent, input="hello", max_turns=1) data = exc.value.run_data @@ -29,10 +31,12 @@ async def test_run_error_includes_data(): async def test_streamed_run_error_includes_data(): model = FakeModel() agent = Agent(name="test", model=model, tools=[get_function_tool("foo", "res")]) - model.add_multiple_turn_outputs([ - [get_text_message("1"), get_function_tool_call("foo", json.dumps({"a": "b"}))], - [get_text_message("done")], - ]) + model.add_multiple_turn_outputs( + [ + [get_text_message("1"), get_function_tool_call("foo", json.dumps({"a": "b"}))], + [get_text_message("done")], + ] + ) result = Runner.run_streamed(agent, input="hello", max_turns=1) with pytest.raises(MaxTurnsExceeded) as exc: async for _ in result.stream_events(): From 4673581bb5cbdbf541ef7a78f2b01109b713655c Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 2 Jun 2025 15:10:05 -0400 Subject: [PATCH 122/337] Only start tracing worker thread on first span/trace --- src/agents/tracing/processors.py | 32 +++++++++++++++++++++++++++++--- 1 file changed, 29 insertions(+), 3 deletions(-) diff --git a/src/agents/tracing/processors.py b/src/agents/tracing/processors.py index 2913b11a4..73f733125 100644 --- a/src/agents/tracing/processors.py +++ b/src/agents/tracing/processors.py @@ -188,10 +188,27 @@ def __init__( # Track when we next *must* perform a scheduled export self._next_export_time = time.time() + self._schedule_delay - self._worker_thread = threading.Thread(target=self._run, daemon=True) - self._worker_thread.start() + # We lazily start the background worker thread the first time a span/trace is queued. + self._worker_thread: threading.Thread | None = None + self._thread_start_lock = threading.Lock() + + def _ensure_thread_started(self) -> None: + # Fast path without holding the lock + if self._worker_thread and self._worker_thread.is_alive(): + return + + # Double-checked locking to avoid starting multiple threads + with self._thread_start_lock: + if self._worker_thread and self._worker_thread.is_alive(): + return + + self._worker_thread = threading.Thread(target=self._run, daemon=True) + self._worker_thread.start() def on_trace_start(self, trace: Trace) -> None: + # Ensure the background worker is running before we enqueue anything. + self._ensure_thread_started() + try: self._queue.put_nowait(trace) except queue.Full: @@ -206,6 +223,9 @@ def on_span_start(self, span: Span[Any]) -> None: pass def on_span_end(self, span: Span[Any]) -> None: + # Ensure the background worker is running before we enqueue anything. + self._ensure_thread_started() + try: self._queue.put_nowait(span) except queue.Full: @@ -216,7 +236,13 @@ def shutdown(self, timeout: float | None = None): Called when the application stops. We signal our thread to stop, then join it. """ self._shutdown_event.set() - self._worker_thread.join(timeout=timeout) + + # Only join if we ever started the background thread; otherwise flush synchronously. + if self._worker_thread and self._worker_thread.is_alive(): + self._worker_thread.join(timeout=timeout) + else: + # No background thread: process any remaining items synchronously. + self._export_batches(force=True) def force_flush(self): """ From d36a1c1bab8af188943fc6aadaf1f28660ef47d0 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 3 Jun 2025 10:57:56 -0400 Subject: [PATCH 123/337] Add is_enabled to FunctionTool ### Summary: Allows a user to do `function_tool(is_enabled=)`; the callable is called when the agent runs. This allows you to dynamically enable/disable a tool based on the context/env. ### Test Plan: Unit tests --- src/agents/agent.py | 22 +- src/agents/run.py | 10 +- src/agents/tool.py | 17 +- tests/test_function_tool.py | 25 +- tests/test_run_step_execution.py | 2 +- tests/test_run_step_processing.py | 32 +- uv.lock | 3614 ++++++++++++++--------------- 7 files changed, 1891 insertions(+), 1831 deletions(-) diff --git a/src/agents/agent.py b/src/agents/agent.py index e22f579fa..6adccedd5 100644 --- a/src/agents/agent.py +++ b/src/agents/agent.py @@ -1,5 +1,6 @@ from __future__ import annotations +import asyncio import dataclasses import inspect from collections.abc import Awaitable @@ -17,7 +18,7 @@ from .model_settings import ModelSettings from .models.interface import Model from .run_context import RunContextWrapper, TContext -from .tool import FunctionToolResult, Tool, function_tool +from .tool import FunctionTool, FunctionToolResult, Tool, function_tool from .util import _transforms from .util._types import MaybeAwaitable @@ -246,7 +247,22 @@ async def get_mcp_tools(self) -> list[Tool]: convert_schemas_to_strict = self.mcp_config.get("convert_schemas_to_strict", False) return await MCPUtil.get_all_function_tools(self.mcp_servers, convert_schemas_to_strict) - async def get_all_tools(self) -> list[Tool]: + async def get_all_tools(self, run_context: RunContextWrapper[Any]) -> list[Tool]: """All agent tools, including MCP tools and function tools.""" mcp_tools = await self.get_mcp_tools() - return mcp_tools + self.tools + + async def _check_tool_enabled(tool: Tool) -> bool: + if not isinstance(tool, FunctionTool): + return True + + attr = tool.is_enabled + if isinstance(attr, bool): + return attr + res = attr(run_context, self) + if inspect.isawaitable(res): + return bool(await res) + return bool(res) + + results = await asyncio.gather(*(_check_tool_enabled(t) for t in self.tools)) + enabled: list[Tool] = [t for t, ok in zip(self.tools, results) if ok] + return [*mcp_tools, *enabled] diff --git a/src/agents/run.py b/src/agents/run.py index bfbdacd45..f375a0b89 100644 --- a/src/agents/run.py +++ b/src/agents/run.py @@ -181,7 +181,7 @@ async def run( try: while True: - all_tools = await cls._get_all_tools(current_agent) + all_tools = await cls._get_all_tools(current_agent, context_wrapper) # Start an agent span if we don't have one. This span is ended if the current # agent changes, or if the agent loop ends. @@ -525,7 +525,7 @@ async def _run_streamed_impl( if streamed_result.is_complete: break - all_tools = await cls._get_all_tools(current_agent) + all_tools = await cls._get_all_tools(current_agent, context_wrapper) # Start an agent span if we don't have one. This span is ended if the current # agent changes, or if the agent loop ends. @@ -980,8 +980,10 @@ def _get_handoffs(cls, agent: Agent[Any]) -> list[Handoff]: return handoffs @classmethod - async def _get_all_tools(cls, agent: Agent[Any]) -> list[Tool]: - return await agent.get_all_tools() + async def _get_all_tools( + cls, agent: Agent[Any], context_wrapper: RunContextWrapper[Any] + ) -> list[Tool]: + return await agent.get_all_tools(context_wrapper) @classmethod def _get_model(cls, agent: Agent[Any], run_config: RunConfig) -> Model: diff --git a/src/agents/tool.py b/src/agents/tool.py index fd5a21c89..57272f9f4 100644 --- a/src/agents/tool.py +++ b/src/agents/tool.py @@ -4,7 +4,7 @@ import json from collections.abc import Awaitable from dataclasses import dataclass -from typing import Any, Callable, Literal, Union, overload +from typing import TYPE_CHECKING, Any, Callable, Literal, Union, overload from openai.types.responses.file_search_tool_param import Filters, RankingOptions from openai.types.responses.response_output_item import LocalShellCall, McpApprovalRequest @@ -24,6 +24,9 @@ from .util import _error_tracing from .util._types import MaybeAwaitable +if TYPE_CHECKING: + from .agent import Agent + ToolParams = ParamSpec("ToolParams") ToolFunctionWithoutContext = Callable[ToolParams, Any] @@ -74,6 +77,11 @@ class FunctionTool: """Whether the JSON schema is in strict mode. We **strongly** recommend setting this to True, as it increases the likelihood of correct JSON input.""" + is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True + """Whether the tool is enabled. Either a bool or a Callable that takes the run context and agent + and returns whether the tool is enabled. You can use this to dynamically enable/disable a tool + based on your context/state.""" + @dataclass class FileSearchTool: @@ -262,6 +270,7 @@ def function_tool( use_docstring_info: bool = True, failure_error_function: ToolErrorFunction | None = None, strict_mode: bool = True, + is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, ) -> FunctionTool: """Overload for usage as @function_tool (no parentheses).""" ... @@ -276,6 +285,7 @@ def function_tool( use_docstring_info: bool = True, failure_error_function: ToolErrorFunction | None = None, strict_mode: bool = True, + is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, ) -> Callable[[ToolFunction[...]], FunctionTool]: """Overload for usage as @function_tool(...).""" ... @@ -290,6 +300,7 @@ def function_tool( use_docstring_info: bool = True, failure_error_function: ToolErrorFunction | None = default_tool_error_function, strict_mode: bool = True, + is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, ) -> FunctionTool | Callable[[ToolFunction[...]], FunctionTool]: """ Decorator to create a FunctionTool from a function. By default, we will: @@ -318,6 +329,9 @@ def function_tool( If False, it allows non-strict JSON schemas. For example, if a parameter has a default value, it will be optional, additional properties are allowed, etc. See here for more: https://platform.openai.com/docs/guides/structured-outputs?api-mode=responses#supported-schemas + is_enabled: Whether the tool is enabled. Can be a bool or a callable that takes the run + context and agent and returns whether the tool is enabled. Disabled tools are hidden + from the LLM at runtime. """ def _create_function_tool(the_func: ToolFunction[...]) -> FunctionTool: @@ -407,6 +421,7 @@ async def _on_invoke_tool(ctx: RunContextWrapper[Any], input: str) -> Any: params_json_schema=schema.params_json_schema, on_invoke_tool=_on_invoke_tool, strict_json_schema=strict_mode, + is_enabled=is_enabled, ) # If func is actually a callable, we were used as @function_tool with no parentheses diff --git a/tests/test_function_tool.py b/tests/test_function_tool.py index 0a57aea87..797339fd1 100644 --- a/tests/test_function_tool.py +++ b/tests/test_function_tool.py @@ -5,7 +5,7 @@ from pydantic import BaseModel from typing_extensions import TypedDict -from agents import FunctionTool, ModelBehaviorError, RunContextWrapper, function_tool +from agents import Agent, FunctionTool, ModelBehaviorError, RunContextWrapper, function_tool from agents.tool import default_tool_error_function @@ -255,3 +255,26 @@ def custom_sync_error_function(ctx: RunContextWrapper[Any], error: Exception) -> result = await tool.on_invoke_tool(ctx, '{"a": 1, "b": 2}') assert result == "error_ValueError" + + +@pytest.mark.asyncio +async def test_is_enabled_bool_and_callable(): + @function_tool(is_enabled=False) + def disabled_tool(): + return "nope" + + async def cond_enabled(ctx: RunContextWrapper[Any], agent: Agent[Any]) -> bool: + return False + + @function_tool(is_enabled=cond_enabled) + def another_tool(): + return "hi" + + agent = Agent(name="t", tools=[disabled_tool, another_tool]) + context = RunContextWrapper(None) + + tools_with_ctx = await agent.get_all_tools(context) + assert tools_with_ctx == [] + + tools_no_ctx = await agent.get_all_tools(context) + assert len(tools_no_ctx) == 2 diff --git a/tests/test_run_step_execution.py b/tests/test_run_step_execution.py index 6ae25fbd5..b4c83d015 100644 --- a/tests/test_run_step_execution.py +++ b/tests/test_run_step_execution.py @@ -290,7 +290,7 @@ async def get_execute_result( processed_response = RunImpl.process_model_response( agent=agent, - all_tools=await agent.get_all_tools(), + all_tools=await agent.get_all_tools(context_wrapper or RunContextWrapper(None)), response=response, output_schema=output_schema, handoffs=handoffs, diff --git a/tests/test_run_step_processing.py b/tests/test_run_step_processing.py index 2ea98f06a..3cc1231c1 100644 --- a/tests/test_run_step_processing.py +++ b/tests/test_run_step_processing.py @@ -34,6 +34,10 @@ ) +def _dummy_ctx() -> RunContextWrapper[None]: + return RunContextWrapper(context=None) + + def test_empty_response(): agent = Agent(name="test") response = ModelResponse( @@ -83,7 +87,7 @@ async def test_single_tool_call(): response=response, output_schema=None, handoffs=[], - all_tools=await agent.get_all_tools(), + all_tools=await agent.get_all_tools(_dummy_ctx()), ) assert not result.handoffs assert result.functions and len(result.functions) == 1 @@ -111,7 +115,7 @@ async def test_missing_tool_call_raises_error(): response=response, output_schema=None, handoffs=[], - all_tools=await agent.get_all_tools(), + all_tools=await agent.get_all_tools(_dummy_ctx()), ) @@ -140,7 +144,7 @@ async def test_multiple_tool_calls(): response=response, output_schema=None, handoffs=[], - all_tools=await agent.get_all_tools(), + all_tools=await agent.get_all_tools(_dummy_ctx()), ) assert not result.handoffs assert result.functions and len(result.functions) == 2 @@ -169,7 +173,7 @@ async def test_handoffs_parsed_correctly(): response=response, output_schema=None, handoffs=[], - all_tools=await agent_3.get_all_tools(), + all_tools=await agent_3.get_all_tools(_dummy_ctx()), ) assert not result.handoffs, "Shouldn't have a handoff here" @@ -183,7 +187,7 @@ async def test_handoffs_parsed_correctly(): response=response, output_schema=None, handoffs=Runner._get_handoffs(agent_3), - all_tools=await agent_3.get_all_tools(), + all_tools=await agent_3.get_all_tools(_dummy_ctx()), ) assert len(result.handoffs) == 1, "Should have a handoff here" handoff = result.handoffs[0] @@ -213,7 +217,7 @@ async def test_missing_handoff_fails(): response=response, output_schema=None, handoffs=Runner._get_handoffs(agent_3), - all_tools=await agent_3.get_all_tools(), + all_tools=await agent_3.get_all_tools(_dummy_ctx()), ) @@ -236,7 +240,7 @@ async def test_multiple_handoffs_doesnt_error(): response=response, output_schema=None, handoffs=Runner._get_handoffs(agent_3), - all_tools=await agent_3.get_all_tools(), + all_tools=await agent_3.get_all_tools(_dummy_ctx()), ) assert len(result.handoffs) == 2, "Should have multiple handoffs here" @@ -262,7 +266,7 @@ async def test_final_output_parsed_correctly(): response=response, output_schema=Runner._get_output_schema(agent), handoffs=[], - all_tools=await agent.get_all_tools(), + all_tools=await agent.get_all_tools(_dummy_ctx()), ) @@ -288,7 +292,7 @@ async def test_file_search_tool_call_parsed_correctly(): response=response, output_schema=None, handoffs=[], - all_tools=await agent.get_all_tools(), + all_tools=await agent.get_all_tools(_dummy_ctx()), ) # The final item should be a ToolCallItem for the file search call assert any( @@ -313,7 +317,7 @@ async def test_function_web_search_tool_call_parsed_correctly(): response=response, output_schema=None, handoffs=[], - all_tools=await agent.get_all_tools(), + all_tools=await agent.get_all_tools(_dummy_ctx()), ) assert any( isinstance(item, ToolCallItem) and item.raw_item is web_search_call @@ -340,7 +344,7 @@ async def test_reasoning_item_parsed_correctly(): response=response, output_schema=None, handoffs=[], - all_tools=await Agent(name="test").get_all_tools(), + all_tools=await Agent(name="test").get_all_tools(_dummy_ctx()), ) assert any( isinstance(item, ReasoningItem) and item.raw_item is reasoning for item in result.new_items @@ -409,7 +413,7 @@ async def test_computer_tool_call_without_computer_tool_raises_error(): response=response, output_schema=None, handoffs=[], - all_tools=await Agent(name="test").get_all_tools(), + all_tools=await Agent(name="test").get_all_tools(_dummy_ctx()), ) @@ -437,7 +441,7 @@ async def test_computer_tool_call_with_computer_tool_parsed_correctly(): response=response, output_schema=None, handoffs=[], - all_tools=await agent.get_all_tools(), + all_tools=await agent.get_all_tools(_dummy_ctx()), ) assert any( isinstance(item, ToolCallItem) and item.raw_item is computer_call @@ -468,7 +472,7 @@ async def test_tool_and_handoff_parsed_correctly(): response=response, output_schema=None, handoffs=Runner._get_handoffs(agent_3), - all_tools=await agent_3.get_all_tools(), + all_tools=await agent_3.get_all_tools(_dummy_ctx()), ) assert result.functions and len(result.functions) == 1 assert len(result.handoffs) == 1, "Should have a handoff here" diff --git a/uv.lock b/uv.lock index 6f2f3f843..76e30c78e 100644 --- a/uv.lock +++ b/uv.lock @@ -1,5 +1,5 @@ version = 1 -revision = 1 +revision = 2 requires-python = ">=3.9" resolution-markers = [ "python_full_version >= '3.10'", @@ -9,16 +9,16 @@ 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"https://packages.applied-caas-gateway1.internal.api.openai.org/artifactory/api/pypi/pypi-public/packages/packages/b7/1a/7e4798e9339adc931158c9d69ecc34f5e6791489d469f5e50ec15e35f458/zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931" }, ] From f0a9065232d9972eeea6d5b9ed2e890027b539c2 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 3 Jun 2025 10:57:56 -0400 Subject: [PATCH 124/337] Add is_enabled to FunctionTool ### Summary: Allows a user to do `function_tool(is_enabled=)`; the callable is called when the agent runs. This allows you to dynamically enable/disable a tool based on the context/env. ### Test Plan: Unit tests --- src/agents/agent.py | 22 ++++++++++++++++++--- src/agents/run.py | 10 ++++++---- src/agents/tool.py | 17 +++++++++++++++- tests/test_function_tool.py | 25 +++++++++++++++++++++++- tests/test_run_step_execution.py | 2 +- tests/test_run_step_processing.py | 32 +++++++++++++++++-------------- 6 files changed, 84 insertions(+), 24 deletions(-) diff --git a/src/agents/agent.py b/src/agents/agent.py index e22f579fa..6adccedd5 100644 --- a/src/agents/agent.py +++ b/src/agents/agent.py @@ -1,5 +1,6 @@ from __future__ import annotations +import asyncio import dataclasses import inspect from collections.abc import Awaitable @@ -17,7 +18,7 @@ from .model_settings import ModelSettings from .models.interface import Model from .run_context import RunContextWrapper, TContext -from .tool import FunctionToolResult, Tool, function_tool +from .tool import FunctionTool, FunctionToolResult, Tool, function_tool from .util import _transforms from .util._types import MaybeAwaitable @@ -246,7 +247,22 @@ async def get_mcp_tools(self) -> list[Tool]: convert_schemas_to_strict = self.mcp_config.get("convert_schemas_to_strict", False) return await MCPUtil.get_all_function_tools(self.mcp_servers, convert_schemas_to_strict) - async def get_all_tools(self) -> list[Tool]: + async def get_all_tools(self, run_context: RunContextWrapper[Any]) -> list[Tool]: """All agent tools, including MCP tools and function tools.""" mcp_tools = await self.get_mcp_tools() - return mcp_tools + self.tools + + async def _check_tool_enabled(tool: Tool) -> bool: + if not isinstance(tool, FunctionTool): + return True + + attr = tool.is_enabled + if isinstance(attr, bool): + return attr + res = attr(run_context, self) + if inspect.isawaitable(res): + return bool(await res) + return bool(res) + + results = await asyncio.gather(*(_check_tool_enabled(t) for t in self.tools)) + enabled: list[Tool] = [t for t, ok in zip(self.tools, results) if ok] + return [*mcp_tools, *enabled] diff --git a/src/agents/run.py b/src/agents/run.py index bfbdacd45..f375a0b89 100644 --- a/src/agents/run.py +++ b/src/agents/run.py @@ -181,7 +181,7 @@ async def run( try: while True: - all_tools = await cls._get_all_tools(current_agent) + all_tools = await cls._get_all_tools(current_agent, context_wrapper) # Start an agent span if we don't have one. This span is ended if the current # agent changes, or if the agent loop ends. @@ -525,7 +525,7 @@ async def _run_streamed_impl( if streamed_result.is_complete: break - all_tools = await cls._get_all_tools(current_agent) + all_tools = await cls._get_all_tools(current_agent, context_wrapper) # Start an agent span if we don't have one. This span is ended if the current # agent changes, or if the agent loop ends. @@ -980,8 +980,10 @@ def _get_handoffs(cls, agent: Agent[Any]) -> list[Handoff]: return handoffs @classmethod - async def _get_all_tools(cls, agent: Agent[Any]) -> list[Tool]: - return await agent.get_all_tools() + async def _get_all_tools( + cls, agent: Agent[Any], context_wrapper: RunContextWrapper[Any] + ) -> list[Tool]: + return await agent.get_all_tools(context_wrapper) @classmethod def _get_model(cls, agent: Agent[Any], run_config: RunConfig) -> Model: diff --git a/src/agents/tool.py b/src/agents/tool.py index fd5a21c89..57272f9f4 100644 --- a/src/agents/tool.py +++ b/src/agents/tool.py @@ -4,7 +4,7 @@ import json from collections.abc import Awaitable from dataclasses import dataclass -from typing import Any, Callable, Literal, Union, overload +from typing import TYPE_CHECKING, Any, Callable, Literal, Union, overload from openai.types.responses.file_search_tool_param import Filters, RankingOptions from openai.types.responses.response_output_item import LocalShellCall, McpApprovalRequest @@ -24,6 +24,9 @@ from .util import _error_tracing from .util._types import MaybeAwaitable +if TYPE_CHECKING: + from .agent import Agent + ToolParams = ParamSpec("ToolParams") ToolFunctionWithoutContext = Callable[ToolParams, Any] @@ -74,6 +77,11 @@ class FunctionTool: """Whether the JSON schema is in strict mode. We **strongly** recommend setting this to True, as it increases the likelihood of correct JSON input.""" + is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True + """Whether the tool is enabled. Either a bool or a Callable that takes the run context and agent + and returns whether the tool is enabled. You can use this to dynamically enable/disable a tool + based on your context/state.""" + @dataclass class FileSearchTool: @@ -262,6 +270,7 @@ def function_tool( use_docstring_info: bool = True, failure_error_function: ToolErrorFunction | None = None, strict_mode: bool = True, + is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, ) -> FunctionTool: """Overload for usage as @function_tool (no parentheses).""" ... @@ -276,6 +285,7 @@ def function_tool( use_docstring_info: bool = True, failure_error_function: ToolErrorFunction | None = None, strict_mode: bool = True, + is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, ) -> Callable[[ToolFunction[...]], FunctionTool]: """Overload for usage as @function_tool(...).""" ... @@ -290,6 +300,7 @@ def function_tool( use_docstring_info: bool = True, failure_error_function: ToolErrorFunction | None = default_tool_error_function, strict_mode: bool = True, + is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, ) -> FunctionTool | Callable[[ToolFunction[...]], FunctionTool]: """ Decorator to create a FunctionTool from a function. By default, we will: @@ -318,6 +329,9 @@ def function_tool( If False, it allows non-strict JSON schemas. For example, if a parameter has a default value, it will be optional, additional properties are allowed, etc. See here for more: https://platform.openai.com/docs/guides/structured-outputs?api-mode=responses#supported-schemas + is_enabled: Whether the tool is enabled. Can be a bool or a callable that takes the run + context and agent and returns whether the tool is enabled. Disabled tools are hidden + from the LLM at runtime. """ def _create_function_tool(the_func: ToolFunction[...]) -> FunctionTool: @@ -407,6 +421,7 @@ async def _on_invoke_tool(ctx: RunContextWrapper[Any], input: str) -> Any: params_json_schema=schema.params_json_schema, on_invoke_tool=_on_invoke_tool, strict_json_schema=strict_mode, + is_enabled=is_enabled, ) # If func is actually a callable, we were used as @function_tool with no parentheses diff --git a/tests/test_function_tool.py b/tests/test_function_tool.py index 0a57aea87..797339fd1 100644 --- a/tests/test_function_tool.py +++ b/tests/test_function_tool.py @@ -5,7 +5,7 @@ from pydantic import BaseModel from typing_extensions import TypedDict -from agents import FunctionTool, ModelBehaviorError, RunContextWrapper, function_tool +from agents import Agent, FunctionTool, ModelBehaviorError, RunContextWrapper, function_tool from agents.tool import default_tool_error_function @@ -255,3 +255,26 @@ def custom_sync_error_function(ctx: RunContextWrapper[Any], error: Exception) -> result = await tool.on_invoke_tool(ctx, '{"a": 1, "b": 2}') assert result == "error_ValueError" + + +@pytest.mark.asyncio +async def test_is_enabled_bool_and_callable(): + @function_tool(is_enabled=False) + def disabled_tool(): + return "nope" + + async def cond_enabled(ctx: RunContextWrapper[Any], agent: Agent[Any]) -> bool: + return False + + @function_tool(is_enabled=cond_enabled) + def another_tool(): + return "hi" + + agent = Agent(name="t", tools=[disabled_tool, another_tool]) + context = RunContextWrapper(None) + + tools_with_ctx = await agent.get_all_tools(context) + assert tools_with_ctx == [] + + tools_no_ctx = await agent.get_all_tools(context) + assert len(tools_no_ctx) == 2 diff --git a/tests/test_run_step_execution.py b/tests/test_run_step_execution.py index 6ae25fbd5..b4c83d015 100644 --- a/tests/test_run_step_execution.py +++ b/tests/test_run_step_execution.py @@ -290,7 +290,7 @@ async def get_execute_result( processed_response = RunImpl.process_model_response( agent=agent, - all_tools=await agent.get_all_tools(), + all_tools=await agent.get_all_tools(context_wrapper or RunContextWrapper(None)), response=response, output_schema=output_schema, handoffs=handoffs, diff --git a/tests/test_run_step_processing.py b/tests/test_run_step_processing.py index 2ea98f06a..3cc1231c1 100644 --- a/tests/test_run_step_processing.py +++ b/tests/test_run_step_processing.py @@ -34,6 +34,10 @@ ) +def _dummy_ctx() -> RunContextWrapper[None]: + return RunContextWrapper(context=None) + + def test_empty_response(): agent = Agent(name="test") response = ModelResponse( @@ -83,7 +87,7 @@ async def test_single_tool_call(): response=response, output_schema=None, handoffs=[], - all_tools=await agent.get_all_tools(), + all_tools=await agent.get_all_tools(_dummy_ctx()), ) assert not result.handoffs assert result.functions and len(result.functions) == 1 @@ -111,7 +115,7 @@ async def test_missing_tool_call_raises_error(): response=response, output_schema=None, handoffs=[], - all_tools=await agent.get_all_tools(), + all_tools=await agent.get_all_tools(_dummy_ctx()), ) @@ -140,7 +144,7 @@ async def test_multiple_tool_calls(): response=response, output_schema=None, handoffs=[], - all_tools=await agent.get_all_tools(), + all_tools=await agent.get_all_tools(_dummy_ctx()), ) assert not result.handoffs assert result.functions and len(result.functions) == 2 @@ -169,7 +173,7 @@ async def test_handoffs_parsed_correctly(): response=response, output_schema=None, handoffs=[], - all_tools=await agent_3.get_all_tools(), + all_tools=await agent_3.get_all_tools(_dummy_ctx()), ) assert not result.handoffs, "Shouldn't have a handoff here" @@ -183,7 +187,7 @@ async def test_handoffs_parsed_correctly(): response=response, output_schema=None, handoffs=Runner._get_handoffs(agent_3), - all_tools=await agent_3.get_all_tools(), + all_tools=await agent_3.get_all_tools(_dummy_ctx()), ) assert len(result.handoffs) == 1, "Should have a handoff here" handoff = result.handoffs[0] @@ -213,7 +217,7 @@ async def test_missing_handoff_fails(): response=response, output_schema=None, handoffs=Runner._get_handoffs(agent_3), - all_tools=await agent_3.get_all_tools(), + all_tools=await agent_3.get_all_tools(_dummy_ctx()), ) @@ -236,7 +240,7 @@ async def test_multiple_handoffs_doesnt_error(): response=response, output_schema=None, handoffs=Runner._get_handoffs(agent_3), - all_tools=await agent_3.get_all_tools(), + all_tools=await agent_3.get_all_tools(_dummy_ctx()), ) assert len(result.handoffs) == 2, "Should have multiple handoffs here" @@ -262,7 +266,7 @@ async def test_final_output_parsed_correctly(): response=response, output_schema=Runner._get_output_schema(agent), handoffs=[], - all_tools=await agent.get_all_tools(), + all_tools=await agent.get_all_tools(_dummy_ctx()), ) @@ -288,7 +292,7 @@ async def test_file_search_tool_call_parsed_correctly(): response=response, output_schema=None, handoffs=[], - all_tools=await agent.get_all_tools(), + all_tools=await agent.get_all_tools(_dummy_ctx()), ) # The final item should be a ToolCallItem for the file search call assert any( @@ -313,7 +317,7 @@ async def test_function_web_search_tool_call_parsed_correctly(): response=response, output_schema=None, handoffs=[], - all_tools=await agent.get_all_tools(), + all_tools=await agent.get_all_tools(_dummy_ctx()), ) assert any( isinstance(item, ToolCallItem) and item.raw_item is web_search_call @@ -340,7 +344,7 @@ async def test_reasoning_item_parsed_correctly(): response=response, output_schema=None, handoffs=[], - all_tools=await Agent(name="test").get_all_tools(), + all_tools=await Agent(name="test").get_all_tools(_dummy_ctx()), ) assert any( isinstance(item, ReasoningItem) and item.raw_item is reasoning for item in result.new_items @@ -409,7 +413,7 @@ async def test_computer_tool_call_without_computer_tool_raises_error(): response=response, output_schema=None, handoffs=[], - all_tools=await Agent(name="test").get_all_tools(), + all_tools=await Agent(name="test").get_all_tools(_dummy_ctx()), ) @@ -437,7 +441,7 @@ async def test_computer_tool_call_with_computer_tool_parsed_correctly(): response=response, output_schema=None, handoffs=[], - all_tools=await agent.get_all_tools(), + all_tools=await agent.get_all_tools(_dummy_ctx()), ) assert any( isinstance(item, ToolCallItem) and item.raw_item is computer_call @@ -468,7 +472,7 @@ async def test_tool_and_handoff_parsed_correctly(): response=response, output_schema=None, handoffs=Runner._get_handoffs(agent_3), - all_tools=await agent_3.get_all_tools(), + all_tools=await agent_3.get_all_tools(_dummy_ctx()), ) assert result.functions and len(result.functions) == 1 assert len(result.handoffs) == 1, "Should have a handoff here" From 3e15ed7a7c3c5c60874377881c383fbc027b1714 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 3 Jun 2025 10:57:56 -0400 Subject: [PATCH 125/337] Add is_enabled to FunctionTool ### Summary: Allows a user to do `function_tool(is_enabled=)`; the callable is called when the agent runs. This allows you to dynamically enable/disable a tool based on the context/env. ### Test Plan: Unit tests --- src/agents/agent.py | 22 ++++++++++++++--- src/agents/run.py | 10 ++++---- src/agents/tool.py | 17 ++++++++++++- tests/test_function_tool.py | 40 ++++++++++++++++++++++++++++++- tests/test_run_step_execution.py | 2 +- tests/test_run_step_processing.py | 32 ++++++++++++++----------- 6 files changed, 99 insertions(+), 24 deletions(-) diff --git a/src/agents/agent.py b/src/agents/agent.py index e22f579fa..6adccedd5 100644 --- a/src/agents/agent.py +++ b/src/agents/agent.py @@ -1,5 +1,6 @@ from __future__ import annotations +import asyncio import dataclasses import inspect from collections.abc import Awaitable @@ -17,7 +18,7 @@ from .model_settings import ModelSettings from .models.interface import Model from .run_context import RunContextWrapper, TContext -from .tool import FunctionToolResult, Tool, function_tool +from .tool import FunctionTool, FunctionToolResult, Tool, function_tool from .util import _transforms from .util._types import MaybeAwaitable @@ -246,7 +247,22 @@ async def get_mcp_tools(self) -> list[Tool]: convert_schemas_to_strict = self.mcp_config.get("convert_schemas_to_strict", False) return await MCPUtil.get_all_function_tools(self.mcp_servers, convert_schemas_to_strict) - async def get_all_tools(self) -> list[Tool]: + async def get_all_tools(self, run_context: RunContextWrapper[Any]) -> list[Tool]: """All agent tools, including MCP tools and function tools.""" mcp_tools = await self.get_mcp_tools() - return mcp_tools + self.tools + + async def _check_tool_enabled(tool: Tool) -> bool: + if not isinstance(tool, FunctionTool): + return True + + attr = tool.is_enabled + if isinstance(attr, bool): + return attr + res = attr(run_context, self) + if inspect.isawaitable(res): + return bool(await res) + return bool(res) + + results = await asyncio.gather(*(_check_tool_enabled(t) for t in self.tools)) + enabled: list[Tool] = [t for t, ok in zip(self.tools, results) if ok] + return [*mcp_tools, *enabled] diff --git a/src/agents/run.py b/src/agents/run.py index bfbdacd45..f375a0b89 100644 --- a/src/agents/run.py +++ b/src/agents/run.py @@ -181,7 +181,7 @@ async def run( try: while True: - all_tools = await cls._get_all_tools(current_agent) + all_tools = await cls._get_all_tools(current_agent, context_wrapper) # Start an agent span if we don't have one. This span is ended if the current # agent changes, or if the agent loop ends. @@ -525,7 +525,7 @@ async def _run_streamed_impl( if streamed_result.is_complete: break - all_tools = await cls._get_all_tools(current_agent) + all_tools = await cls._get_all_tools(current_agent, context_wrapper) # Start an agent span if we don't have one. This span is ended if the current # agent changes, or if the agent loop ends. @@ -980,8 +980,10 @@ def _get_handoffs(cls, agent: Agent[Any]) -> list[Handoff]: return handoffs @classmethod - async def _get_all_tools(cls, agent: Agent[Any]) -> list[Tool]: - return await agent.get_all_tools() + async def _get_all_tools( + cls, agent: Agent[Any], context_wrapper: RunContextWrapper[Any] + ) -> list[Tool]: + return await agent.get_all_tools(context_wrapper) @classmethod def _get_model(cls, agent: Agent[Any], run_config: RunConfig) -> Model: diff --git a/src/agents/tool.py b/src/agents/tool.py index fd5a21c89..57272f9f4 100644 --- a/src/agents/tool.py +++ b/src/agents/tool.py @@ -4,7 +4,7 @@ import json from collections.abc import Awaitable from dataclasses import dataclass -from typing import Any, Callable, Literal, Union, overload +from typing import TYPE_CHECKING, Any, Callable, Literal, Union, overload from openai.types.responses.file_search_tool_param import Filters, RankingOptions from openai.types.responses.response_output_item import LocalShellCall, McpApprovalRequest @@ -24,6 +24,9 @@ from .util import _error_tracing from .util._types import MaybeAwaitable +if TYPE_CHECKING: + from .agent import Agent + ToolParams = ParamSpec("ToolParams") ToolFunctionWithoutContext = Callable[ToolParams, Any] @@ -74,6 +77,11 @@ class FunctionTool: """Whether the JSON schema is in strict mode. We **strongly** recommend setting this to True, as it increases the likelihood of correct JSON input.""" + is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True + """Whether the tool is enabled. Either a bool or a Callable that takes the run context and agent + and returns whether the tool is enabled. You can use this to dynamically enable/disable a tool + based on your context/state.""" + @dataclass class FileSearchTool: @@ -262,6 +270,7 @@ def function_tool( use_docstring_info: bool = True, failure_error_function: ToolErrorFunction | None = None, strict_mode: bool = True, + is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, ) -> FunctionTool: """Overload for usage as @function_tool (no parentheses).""" ... @@ -276,6 +285,7 @@ def function_tool( use_docstring_info: bool = True, failure_error_function: ToolErrorFunction | None = None, strict_mode: bool = True, + is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, ) -> Callable[[ToolFunction[...]], FunctionTool]: """Overload for usage as @function_tool(...).""" ... @@ -290,6 +300,7 @@ def function_tool( use_docstring_info: bool = True, failure_error_function: ToolErrorFunction | None = default_tool_error_function, strict_mode: bool = True, + is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, ) -> FunctionTool | Callable[[ToolFunction[...]], FunctionTool]: """ Decorator to create a FunctionTool from a function. By default, we will: @@ -318,6 +329,9 @@ def function_tool( If False, it allows non-strict JSON schemas. For example, if a parameter has a default value, it will be optional, additional properties are allowed, etc. See here for more: https://platform.openai.com/docs/guides/structured-outputs?api-mode=responses#supported-schemas + is_enabled: Whether the tool is enabled. Can be a bool or a callable that takes the run + context and agent and returns whether the tool is enabled. Disabled tools are hidden + from the LLM at runtime. """ def _create_function_tool(the_func: ToolFunction[...]) -> FunctionTool: @@ -407,6 +421,7 @@ async def _on_invoke_tool(ctx: RunContextWrapper[Any], input: str) -> Any: params_json_schema=schema.params_json_schema, on_invoke_tool=_on_invoke_tool, strict_json_schema=strict_mode, + is_enabled=is_enabled, ) # If func is actually a callable, we were used as @function_tool with no parentheses diff --git a/tests/test_function_tool.py b/tests/test_function_tool.py index 0a57aea87..c81289aa4 100644 --- a/tests/test_function_tool.py +++ b/tests/test_function_tool.py @@ -5,7 +5,7 @@ from pydantic import BaseModel from typing_extensions import TypedDict -from agents import FunctionTool, ModelBehaviorError, RunContextWrapper, function_tool +from agents import Agent, FunctionTool, ModelBehaviorError, RunContextWrapper, function_tool from agents.tool import default_tool_error_function @@ -255,3 +255,41 @@ def custom_sync_error_function(ctx: RunContextWrapper[Any], error: Exception) -> result = await tool.on_invoke_tool(ctx, '{"a": 1, "b": 2}') assert result == "error_ValueError" + + +class BoolCtx(BaseModel): + enable_tools: bool + + +@pytest.mark.asyncio +async def test_is_enabled_bool_and_callable(): + @function_tool(is_enabled=False) + def disabled_tool(): + return "nope" + + async def cond_enabled(ctx: RunContextWrapper[BoolCtx], agent: Agent[Any]) -> bool: + return ctx.context.enable_tools + + @function_tool(is_enabled=cond_enabled) + def another_tool(): + return "hi" + + third_tool = FunctionTool( + name="third_tool", + description="third tool", + on_invoke_tool=lambda ctx, args: "third", + is_enabled=lambda ctx, agent: ctx.context.enable_tools, + params_json_schema={}, + ) + + agent = Agent(name="t", tools=[disabled_tool, another_tool, third_tool]) + context_1 = RunContextWrapper(BoolCtx(enable_tools=False)) + context_2 = RunContextWrapper(BoolCtx(enable_tools=True)) + + tools_with_ctx = await agent.get_all_tools(context_1) + assert tools_with_ctx == [] + + tools_with_ctx = await agent.get_all_tools(context_2) + assert len(tools_with_ctx) == 2 + assert tools_with_ctx[0].name == "another_tool" + assert tools_with_ctx[1].name == "third_tool" diff --git a/tests/test_run_step_execution.py b/tests/test_run_step_execution.py index 6ae25fbd5..b4c83d015 100644 --- a/tests/test_run_step_execution.py +++ b/tests/test_run_step_execution.py @@ -290,7 +290,7 @@ async def get_execute_result( processed_response = RunImpl.process_model_response( agent=agent, - all_tools=await agent.get_all_tools(), + all_tools=await agent.get_all_tools(context_wrapper or RunContextWrapper(None)), response=response, output_schema=output_schema, handoffs=handoffs, diff --git a/tests/test_run_step_processing.py b/tests/test_run_step_processing.py index 2ea98f06a..3cc1231c1 100644 --- a/tests/test_run_step_processing.py +++ b/tests/test_run_step_processing.py @@ -34,6 +34,10 @@ ) +def _dummy_ctx() -> RunContextWrapper[None]: + return RunContextWrapper(context=None) + + def test_empty_response(): agent = Agent(name="test") response = ModelResponse( @@ -83,7 +87,7 @@ async def test_single_tool_call(): response=response, output_schema=None, handoffs=[], - all_tools=await agent.get_all_tools(), + all_tools=await agent.get_all_tools(_dummy_ctx()), ) assert not result.handoffs assert result.functions and len(result.functions) == 1 @@ -111,7 +115,7 @@ async def test_missing_tool_call_raises_error(): response=response, output_schema=None, handoffs=[], - all_tools=await agent.get_all_tools(), + all_tools=await agent.get_all_tools(_dummy_ctx()), ) @@ -140,7 +144,7 @@ async def test_multiple_tool_calls(): response=response, output_schema=None, handoffs=[], - all_tools=await agent.get_all_tools(), + all_tools=await agent.get_all_tools(_dummy_ctx()), ) assert not result.handoffs assert result.functions and len(result.functions) == 2 @@ -169,7 +173,7 @@ async def test_handoffs_parsed_correctly(): response=response, output_schema=None, handoffs=[], - all_tools=await agent_3.get_all_tools(), + all_tools=await agent_3.get_all_tools(_dummy_ctx()), ) assert not result.handoffs, "Shouldn't have a handoff here" @@ -183,7 +187,7 @@ async def test_handoffs_parsed_correctly(): response=response, output_schema=None, handoffs=Runner._get_handoffs(agent_3), - all_tools=await agent_3.get_all_tools(), + all_tools=await agent_3.get_all_tools(_dummy_ctx()), ) assert len(result.handoffs) == 1, "Should have a handoff here" handoff = result.handoffs[0] @@ -213,7 +217,7 @@ async def test_missing_handoff_fails(): response=response, output_schema=None, handoffs=Runner._get_handoffs(agent_3), - all_tools=await agent_3.get_all_tools(), + all_tools=await agent_3.get_all_tools(_dummy_ctx()), ) @@ -236,7 +240,7 @@ async def test_multiple_handoffs_doesnt_error(): response=response, output_schema=None, handoffs=Runner._get_handoffs(agent_3), - all_tools=await agent_3.get_all_tools(), + all_tools=await agent_3.get_all_tools(_dummy_ctx()), ) assert len(result.handoffs) == 2, "Should have multiple handoffs here" @@ -262,7 +266,7 @@ async def test_final_output_parsed_correctly(): response=response, output_schema=Runner._get_output_schema(agent), handoffs=[], - all_tools=await agent.get_all_tools(), + all_tools=await agent.get_all_tools(_dummy_ctx()), ) @@ -288,7 +292,7 @@ async def test_file_search_tool_call_parsed_correctly(): response=response, output_schema=None, handoffs=[], - all_tools=await agent.get_all_tools(), + all_tools=await agent.get_all_tools(_dummy_ctx()), ) # The final item should be a ToolCallItem for the file search call assert any( @@ -313,7 +317,7 @@ async def test_function_web_search_tool_call_parsed_correctly(): response=response, output_schema=None, handoffs=[], - all_tools=await agent.get_all_tools(), + all_tools=await agent.get_all_tools(_dummy_ctx()), ) assert any( isinstance(item, ToolCallItem) and item.raw_item is web_search_call @@ -340,7 +344,7 @@ async def test_reasoning_item_parsed_correctly(): response=response, output_schema=None, handoffs=[], - all_tools=await Agent(name="test").get_all_tools(), + all_tools=await Agent(name="test").get_all_tools(_dummy_ctx()), ) assert any( isinstance(item, ReasoningItem) and item.raw_item is reasoning for item in result.new_items @@ -409,7 +413,7 @@ async def test_computer_tool_call_without_computer_tool_raises_error(): response=response, output_schema=None, handoffs=[], - all_tools=await Agent(name="test").get_all_tools(), + all_tools=await Agent(name="test").get_all_tools(_dummy_ctx()), ) @@ -437,7 +441,7 @@ async def test_computer_tool_call_with_computer_tool_parsed_correctly(): response=response, output_schema=None, handoffs=[], - all_tools=await agent.get_all_tools(), + all_tools=await agent.get_all_tools(_dummy_ctx()), ) assert any( isinstance(item, ToolCallItem) and item.raw_item is computer_call @@ -468,7 +472,7 @@ async def test_tool_and_handoff_parsed_correctly(): response=response, output_schema=None, handoffs=Runner._get_handoffs(agent_3), - all_tools=await agent_3.get_all_tools(), + all_tools=await agent_3.get_all_tools(_dummy_ctx()), ) assert result.functions and len(result.functions) == 1 assert len(result.handoffs) == 1, "Should have a handoff here" From 892db25211c7709805dbe0a888bfea728ea34245 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 3 Jun 2025 13:41:17 -0400 Subject: [PATCH 126/337] v0.0.17 --- pyproject.toml | 2 +- uv.lock | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 38a2f2b64..b59073ed8 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "openai-agents" -version = "0.0.16" +version = "0.0.17" description = "OpenAI Agents SDK" readme = "README.md" requires-python = ">=3.9" diff --git a/uv.lock b/uv.lock index 6f2f3f843..1779b8637 100644 --- a/uv.lock +++ b/uv.lock @@ -1480,7 +1480,7 @@ wheels = [ [[package]] name = "openai-agents" -version = "0.0.16" +version = "0.0.17" source = { editable = "." } dependencies = [ { name = "griffe" }, From 7db156dda67f99f7cda3eaece16b1395b9350834 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 3 Jun 2025 10:57:56 -0400 Subject: [PATCH 127/337] Add is_enabled to FunctionTool ### Summary: Allows a user to do `function_tool(is_enabled=)`; the callable is called when the agent runs. This allows you to dynamically enable/disable a tool based on the context/env. ### Test Plan: Unit tests --- src/agents/agent.py | 22 +++++++++++++--- src/agents/run.py | 10 ++++--- src/agents/tool.py | 17 +++++++++++- tests/test_function_tool.py | 43 ++++++++++++++++++++++++++++++- tests/test_run_step_execution.py | 2 +- tests/test_run_step_processing.py | 32 +++++++++++++---------- 6 files changed, 102 insertions(+), 24 deletions(-) diff --git a/src/agents/agent.py b/src/agents/agent.py index e22f579fa..6adccedd5 100644 --- a/src/agents/agent.py +++ b/src/agents/agent.py @@ -1,5 +1,6 @@ from __future__ import annotations +import asyncio import dataclasses import inspect from collections.abc import Awaitable @@ -17,7 +18,7 @@ from .model_settings import ModelSettings from .models.interface import Model from .run_context import RunContextWrapper, TContext -from .tool import FunctionToolResult, Tool, function_tool +from .tool import FunctionTool, FunctionToolResult, Tool, function_tool from .util import _transforms from .util._types import MaybeAwaitable @@ -246,7 +247,22 @@ async def get_mcp_tools(self) -> list[Tool]: convert_schemas_to_strict = self.mcp_config.get("convert_schemas_to_strict", False) return await MCPUtil.get_all_function_tools(self.mcp_servers, convert_schemas_to_strict) - async def get_all_tools(self) -> list[Tool]: + async def get_all_tools(self, run_context: RunContextWrapper[Any]) -> list[Tool]: """All agent tools, including MCP tools and function tools.""" mcp_tools = await self.get_mcp_tools() - return mcp_tools + self.tools + + async def _check_tool_enabled(tool: Tool) -> bool: + if not isinstance(tool, FunctionTool): + return True + + attr = tool.is_enabled + if isinstance(attr, bool): + return attr + res = attr(run_context, self) + if inspect.isawaitable(res): + return bool(await res) + return bool(res) + + results = await asyncio.gather(*(_check_tool_enabled(t) for t in self.tools)) + enabled: list[Tool] = [t for t, ok in zip(self.tools, results) if ok] + return [*mcp_tools, *enabled] diff --git a/src/agents/run.py b/src/agents/run.py index bfbdacd45..f375a0b89 100644 --- a/src/agents/run.py +++ b/src/agents/run.py @@ -181,7 +181,7 @@ async def run( try: while True: - all_tools = await cls._get_all_tools(current_agent) + all_tools = await cls._get_all_tools(current_agent, context_wrapper) # Start an agent span if we don't have one. This span is ended if the current # agent changes, or if the agent loop ends. @@ -525,7 +525,7 @@ async def _run_streamed_impl( if streamed_result.is_complete: break - all_tools = await cls._get_all_tools(current_agent) + all_tools = await cls._get_all_tools(current_agent, context_wrapper) # Start an agent span if we don't have one. This span is ended if the current # agent changes, or if the agent loop ends. @@ -980,8 +980,10 @@ def _get_handoffs(cls, agent: Agent[Any]) -> list[Handoff]: return handoffs @classmethod - async def _get_all_tools(cls, agent: Agent[Any]) -> list[Tool]: - return await agent.get_all_tools() + async def _get_all_tools( + cls, agent: Agent[Any], context_wrapper: RunContextWrapper[Any] + ) -> list[Tool]: + return await agent.get_all_tools(context_wrapper) @classmethod def _get_model(cls, agent: Agent[Any], run_config: RunConfig) -> Model: diff --git a/src/agents/tool.py b/src/agents/tool.py index fd5a21c89..57272f9f4 100644 --- a/src/agents/tool.py +++ b/src/agents/tool.py @@ -4,7 +4,7 @@ import json from collections.abc import Awaitable from dataclasses import dataclass -from typing import Any, Callable, Literal, Union, overload +from typing import TYPE_CHECKING, Any, Callable, Literal, Union, overload from openai.types.responses.file_search_tool_param import Filters, RankingOptions from openai.types.responses.response_output_item import LocalShellCall, McpApprovalRequest @@ -24,6 +24,9 @@ from .util import _error_tracing from .util._types import MaybeAwaitable +if TYPE_CHECKING: + from .agent import Agent + ToolParams = ParamSpec("ToolParams") ToolFunctionWithoutContext = Callable[ToolParams, Any] @@ -74,6 +77,11 @@ class FunctionTool: """Whether the JSON schema is in strict mode. We **strongly** recommend setting this to True, as it increases the likelihood of correct JSON input.""" + is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True + """Whether the tool is enabled. Either a bool or a Callable that takes the run context and agent + and returns whether the tool is enabled. You can use this to dynamically enable/disable a tool + based on your context/state.""" + @dataclass class FileSearchTool: @@ -262,6 +270,7 @@ def function_tool( use_docstring_info: bool = True, failure_error_function: ToolErrorFunction | None = None, strict_mode: bool = True, + is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, ) -> FunctionTool: """Overload for usage as @function_tool (no parentheses).""" ... @@ -276,6 +285,7 @@ def function_tool( use_docstring_info: bool = True, failure_error_function: ToolErrorFunction | None = None, strict_mode: bool = True, + is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, ) -> Callable[[ToolFunction[...]], FunctionTool]: """Overload for usage as @function_tool(...).""" ... @@ -290,6 +300,7 @@ def function_tool( use_docstring_info: bool = True, failure_error_function: ToolErrorFunction | None = default_tool_error_function, strict_mode: bool = True, + is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, ) -> FunctionTool | Callable[[ToolFunction[...]], FunctionTool]: """ Decorator to create a FunctionTool from a function. By default, we will: @@ -318,6 +329,9 @@ def function_tool( If False, it allows non-strict JSON schemas. For example, if a parameter has a default value, it will be optional, additional properties are allowed, etc. See here for more: https://platform.openai.com/docs/guides/structured-outputs?api-mode=responses#supported-schemas + is_enabled: Whether the tool is enabled. Can be a bool or a callable that takes the run + context and agent and returns whether the tool is enabled. Disabled tools are hidden + from the LLM at runtime. """ def _create_function_tool(the_func: ToolFunction[...]) -> FunctionTool: @@ -407,6 +421,7 @@ async def _on_invoke_tool(ctx: RunContextWrapper[Any], input: str) -> Any: params_json_schema=schema.params_json_schema, on_invoke_tool=_on_invoke_tool, strict_json_schema=strict_mode, + is_enabled=is_enabled, ) # If func is actually a callable, we were used as @function_tool with no parentheses diff --git a/tests/test_function_tool.py b/tests/test_function_tool.py index 0a57aea87..c5d7da649 100644 --- a/tests/test_function_tool.py +++ b/tests/test_function_tool.py @@ -5,7 +5,7 @@ from pydantic import BaseModel from typing_extensions import TypedDict -from agents import FunctionTool, ModelBehaviorError, RunContextWrapper, function_tool +from agents import Agent, FunctionTool, ModelBehaviorError, RunContextWrapper, function_tool from agents.tool import default_tool_error_function @@ -255,3 +255,44 @@ def custom_sync_error_function(ctx: RunContextWrapper[Any], error: Exception) -> result = await tool.on_invoke_tool(ctx, '{"a": 1, "b": 2}') assert result == "error_ValueError" + + +class BoolCtx(BaseModel): + enable_tools: bool + + +@pytest.mark.asyncio +async def test_is_enabled_bool_and_callable(): + @function_tool(is_enabled=False) + def disabled_tool(): + return "nope" + + async def cond_enabled(ctx: RunContextWrapper[BoolCtx], agent: Agent[Any]) -> bool: + return ctx.context.enable_tools + + @function_tool(is_enabled=cond_enabled) + def another_tool(): + return "hi" + + async def third_tool_on_invoke_tool(ctx: RunContextWrapper[Any], args: str) -> str: + return "third" + + third_tool = FunctionTool( + name="third_tool", + description="third tool", + on_invoke_tool=third_tool_on_invoke_tool, + is_enabled=lambda ctx, agent: ctx.context.enable_tools, + params_json_schema={}, + ) + + agent = Agent(name="t", tools=[disabled_tool, another_tool, third_tool]) + context_1 = RunContextWrapper(BoolCtx(enable_tools=False)) + context_2 = RunContextWrapper(BoolCtx(enable_tools=True)) + + tools_with_ctx = await agent.get_all_tools(context_1) + assert tools_with_ctx == [] + + tools_with_ctx = await agent.get_all_tools(context_2) + assert len(tools_with_ctx) == 2 + assert tools_with_ctx[0].name == "another_tool" + assert tools_with_ctx[1].name == "third_tool" diff --git a/tests/test_run_step_execution.py b/tests/test_run_step_execution.py index 6ae25fbd5..b4c83d015 100644 --- a/tests/test_run_step_execution.py +++ b/tests/test_run_step_execution.py @@ -290,7 +290,7 @@ async def get_execute_result( processed_response = RunImpl.process_model_response( agent=agent, - all_tools=await agent.get_all_tools(), + all_tools=await agent.get_all_tools(context_wrapper or RunContextWrapper(None)), response=response, output_schema=output_schema, handoffs=handoffs, diff --git a/tests/test_run_step_processing.py b/tests/test_run_step_processing.py index 2ea98f06a..3cc1231c1 100644 --- a/tests/test_run_step_processing.py +++ b/tests/test_run_step_processing.py @@ -34,6 +34,10 @@ ) +def _dummy_ctx() -> RunContextWrapper[None]: + return RunContextWrapper(context=None) + + def test_empty_response(): agent = Agent(name="test") response = ModelResponse( @@ -83,7 +87,7 @@ async def test_single_tool_call(): response=response, output_schema=None, handoffs=[], - all_tools=await agent.get_all_tools(), + all_tools=await agent.get_all_tools(_dummy_ctx()), ) assert not result.handoffs assert result.functions and len(result.functions) == 1 @@ -111,7 +115,7 @@ async def test_missing_tool_call_raises_error(): response=response, output_schema=None, handoffs=[], - all_tools=await agent.get_all_tools(), + all_tools=await agent.get_all_tools(_dummy_ctx()), ) @@ -140,7 +144,7 @@ async def test_multiple_tool_calls(): response=response, output_schema=None, handoffs=[], - all_tools=await agent.get_all_tools(), + all_tools=await agent.get_all_tools(_dummy_ctx()), ) assert not result.handoffs assert result.functions and len(result.functions) == 2 @@ -169,7 +173,7 @@ async def test_handoffs_parsed_correctly(): response=response, output_schema=None, handoffs=[], - all_tools=await agent_3.get_all_tools(), + all_tools=await agent_3.get_all_tools(_dummy_ctx()), ) assert not result.handoffs, "Shouldn't have a handoff here" @@ -183,7 +187,7 @@ async def test_handoffs_parsed_correctly(): response=response, output_schema=None, handoffs=Runner._get_handoffs(agent_3), - all_tools=await agent_3.get_all_tools(), + all_tools=await agent_3.get_all_tools(_dummy_ctx()), ) assert len(result.handoffs) == 1, "Should have a handoff here" handoff = result.handoffs[0] @@ -213,7 +217,7 @@ async def test_missing_handoff_fails(): response=response, output_schema=None, handoffs=Runner._get_handoffs(agent_3), - all_tools=await agent_3.get_all_tools(), + all_tools=await agent_3.get_all_tools(_dummy_ctx()), ) @@ -236,7 +240,7 @@ async def test_multiple_handoffs_doesnt_error(): response=response, output_schema=None, handoffs=Runner._get_handoffs(agent_3), - all_tools=await agent_3.get_all_tools(), + all_tools=await agent_3.get_all_tools(_dummy_ctx()), ) assert len(result.handoffs) == 2, "Should have multiple handoffs here" @@ -262,7 +266,7 @@ async def test_final_output_parsed_correctly(): response=response, output_schema=Runner._get_output_schema(agent), handoffs=[], - all_tools=await agent.get_all_tools(), + all_tools=await agent.get_all_tools(_dummy_ctx()), ) @@ -288,7 +292,7 @@ async def test_file_search_tool_call_parsed_correctly(): response=response, output_schema=None, handoffs=[], - all_tools=await agent.get_all_tools(), + all_tools=await agent.get_all_tools(_dummy_ctx()), ) # The final item should be a ToolCallItem for the file search call assert any( @@ -313,7 +317,7 @@ async def test_function_web_search_tool_call_parsed_correctly(): response=response, output_schema=None, handoffs=[], - all_tools=await agent.get_all_tools(), + all_tools=await agent.get_all_tools(_dummy_ctx()), ) assert any( isinstance(item, ToolCallItem) and item.raw_item is web_search_call @@ -340,7 +344,7 @@ async def test_reasoning_item_parsed_correctly(): response=response, output_schema=None, handoffs=[], - all_tools=await Agent(name="test").get_all_tools(), + all_tools=await Agent(name="test").get_all_tools(_dummy_ctx()), ) assert any( isinstance(item, ReasoningItem) and item.raw_item is reasoning for item in result.new_items @@ -409,7 +413,7 @@ async def test_computer_tool_call_without_computer_tool_raises_error(): response=response, output_schema=None, handoffs=[], - all_tools=await Agent(name="test").get_all_tools(), + all_tools=await Agent(name="test").get_all_tools(_dummy_ctx()), ) @@ -437,7 +441,7 @@ async def test_computer_tool_call_with_computer_tool_parsed_correctly(): response=response, output_schema=None, handoffs=[], - all_tools=await agent.get_all_tools(), + all_tools=await agent.get_all_tools(_dummy_ctx()), ) assert any( isinstance(item, ToolCallItem) and item.raw_item is computer_call @@ -468,7 +472,7 @@ async def test_tool_and_handoff_parsed_correctly(): response=response, output_schema=None, handoffs=Runner._get_handoffs(agent_3), - all_tools=await agent_3.get_all_tools(), + all_tools=await agent_3.get_all_tools(_dummy_ctx()), ) assert result.functions and len(result.functions) == 1 assert len(result.handoffs) == 1, "Should have a handoff here" From 7670a804a23c3ec9ae2c06bac03886f0dd010a7f Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 10 Jun 2025 17:32:34 -0400 Subject: [PATCH 128/337] Allow arbitrary kwargs in model --- src/agents/extensions/models/litellm_model.py | 4 + src/agents/model_settings.py | 15 ++ src/agents/models/openai_chatcompletions.py | 1 + src/agents/models/openai_responses.py | 1 + tests/model_settings/test_serialization.py | 74 ++++++++ tests/models/test_kwargs_functionality.py | 172 ++++++++++++++++++ 6 files changed, 267 insertions(+) create mode 100644 tests/models/test_kwargs_functionality.py diff --git a/src/agents/extensions/models/litellm_model.py b/src/agents/extensions/models/litellm_model.py index 7cf7a2de5..0c8c7d1ab 100644 --- a/src/agents/extensions/models/litellm_model.py +++ b/src/agents/extensions/models/litellm_model.py @@ -284,6 +284,10 @@ async def _fetch_response( if model_settings.extra_body and isinstance(model_settings.extra_body, dict): extra_kwargs.update(model_settings.extra_body) + # Add kwargs from model_settings.kwargs, filtering out None values + if model_settings.kwargs: + extra_kwargs.update(model_settings.kwargs) + ret = await litellm.acompletion( model=self.model, messages=converted_messages, diff --git a/src/agents/model_settings.py b/src/agents/model_settings.py index 7b016c98f..cd50106a2 100644 --- a/src/agents/model_settings.py +++ b/src/agents/model_settings.py @@ -73,6 +73,11 @@ class ModelSettings: """Additional headers to provide with the request. Defaults to None if not provided.""" + kwargs: dict[str, Any] | None = None + """Arbitrary keyword arguments to pass to the model API call. + These will be passed directly to the underlying model provider's API. + Use with caution as not all models support all parameters.""" + def resolve(self, override: ModelSettings | None) -> ModelSettings: """Produce a new ModelSettings by overlaying any non-None values from the override on top of this instance.""" @@ -84,6 +89,16 @@ def resolve(self, override: ModelSettings | None) -> ModelSettings: for field in fields(self) if getattr(override, field.name) is not None } + + # Handle kwargs merging specially - merge dictionaries instead of replacing + if self.kwargs is not None or override.kwargs is not None: + merged_kwargs = {} + if self.kwargs: + merged_kwargs.update(self.kwargs) + if override.kwargs: + merged_kwargs.update(override.kwargs) + changes["kwargs"] = merged_kwargs if merged_kwargs else None + return replace(self, **changes) def to_json_dict(self) -> dict[str, Any]: diff --git a/src/agents/models/openai_chatcompletions.py b/src/agents/models/openai_chatcompletions.py index 6b4045d21..dc833c830 100644 --- a/src/agents/models/openai_chatcompletions.py +++ b/src/agents/models/openai_chatcompletions.py @@ -281,6 +281,7 @@ async def _fetch_response( extra_query=model_settings.extra_query, extra_body=model_settings.extra_body, metadata=self._non_null_or_not_given(model_settings.metadata), + **(model_settings.kwargs or {}), ) if isinstance(ret, ChatCompletion): diff --git a/src/agents/models/openai_responses.py b/src/agents/models/openai_responses.py index 86c8e69cb..6ec103dff 100644 --- a/src/agents/models/openai_responses.py +++ b/src/agents/models/openai_responses.py @@ -266,6 +266,7 @@ async def _fetch_response( store=self._non_null_or_not_given(model_settings.store), reasoning=self._non_null_or_not_given(model_settings.reasoning), metadata=self._non_null_or_not_given(model_settings.metadata), + **(model_settings.kwargs or {}), ) def _get_client(self) -> AsyncOpenAI: diff --git a/tests/model_settings/test_serialization.py b/tests/model_settings/test_serialization.py index d76a58d17..bd800c8cc 100644 --- a/tests/model_settings/test_serialization.py +++ b/tests/model_settings/test_serialization.py @@ -47,6 +47,7 @@ def test_all_fields_serialization() -> None: extra_query={"foo": "bar"}, extra_body={"foo": "bar"}, extra_headers={"foo": "bar"}, + kwargs={"custom_param": "value", "another_param": 42}, ) # Verify that every single field is set to a non-None value @@ -57,3 +58,76 @@ def test_all_fields_serialization() -> None: # Now, lets serialize the ModelSettings instance to a JSON string verify_serialization(model_settings) + + +def test_kwargs_serialization() -> None: + """Test that kwargs are properly serialized.""" + model_settings = ModelSettings( + temperature=0.5, + kwargs={"custom_param": "value", "another_param": 42, "nested": {"key": "value"}}, + ) + + json_dict = model_settings.to_json_dict() + assert json_dict["kwargs"] == { + "custom_param": "value", + "another_param": 42, + "nested": {"key": "value"}, + } + + # Verify serialization works + verify_serialization(model_settings) + + +def test_kwargs_resolve() -> None: + """Test that kwargs are properly merged in the resolve method.""" + base_settings = ModelSettings( + temperature=0.5, kwargs={"param1": "base_value", "param2": "base_only"} + ) + + override_settings = ModelSettings( + top_p=0.9, kwargs={"param1": "override_value", "param3": "override_only"} + ) + + resolved = base_settings.resolve(override_settings) + + # Check that regular fields are properly resolved + assert resolved.temperature == 0.5 # from base + assert resolved.top_p == 0.9 # from override + + # Check that kwargs are properly merged + expected_kwargs = { + "param1": "override_value", # override wins + "param2": "base_only", # from base + "param3": "override_only", # from override + } + assert resolved.kwargs == expected_kwargs + + +def test_kwargs_resolve_with_none() -> None: + """Test that resolve works properly when one side has None kwargs.""" + # Base with kwargs, override with None + base_settings = ModelSettings(kwargs={"param1": "value1"}) + override_settings = ModelSettings(temperature=0.8) + + resolved = base_settings.resolve(override_settings) + assert resolved.kwargs == {"param1": "value1"} + assert resolved.temperature == 0.8 + + # Base with None, override with kwargs + base_settings = ModelSettings(temperature=0.5) + override_settings = ModelSettings(kwargs={"param2": "value2"}) + + resolved = base_settings.resolve(override_settings) + assert resolved.kwargs == {"param2": "value2"} + assert resolved.temperature == 0.5 + + +def test_kwargs_resolve_both_none() -> None: + """Test that resolve works when both sides have None kwargs.""" + base_settings = ModelSettings(temperature=0.5) + override_settings = ModelSettings(top_p=0.9) + + resolved = base_settings.resolve(override_settings) + assert resolved.kwargs is None + assert resolved.temperature == 0.5 + assert resolved.top_p == 0.9 diff --git a/tests/models/test_kwargs_functionality.py b/tests/models/test_kwargs_functionality.py new file mode 100644 index 000000000..dcf646880 --- /dev/null +++ b/tests/models/test_kwargs_functionality.py @@ -0,0 +1,172 @@ +import litellm +import pytest +from litellm.types.utils import Choices, Message, ModelResponse, Usage +from openai.types.chat.chat_completion import ChatCompletion, Choice +from openai.types.chat.chat_completion_message import ChatCompletionMessage +from openai.types.completion_usage import CompletionUsage + +from agents.extensions.models.litellm_model import LitellmModel +from agents.model_settings import ModelSettings +from agents.models.interface import ModelTracing +from agents.models.openai_chatcompletions import OpenAIChatCompletionsModel + + +@pytest.mark.allow_call_model_methods +@pytest.mark.asyncio +async def test_litellm_kwargs_forwarded(monkeypatch): + """ + Test that kwargs from ModelSettings are forwarded to litellm.acompletion. + """ + captured: dict[str, object] = {} + + async def fake_acompletion(model, messages=None, **kwargs): + captured.update(kwargs) + msg = Message(role="assistant", content="test response") + choice = Choices(index=0, message=msg) + return ModelResponse(choices=[choice], usage=Usage(0, 0, 0)) + + monkeypatch.setattr(litellm, "acompletion", fake_acompletion) + + settings = ModelSettings( + temperature=0.5, + kwargs={ + "custom_param": "custom_value", + "seed": 42, + "stop": ["END"], + "logit_bias": {123: -100}, + }, + ) + model = LitellmModel(model="test-model") + + await model.get_response( + system_instructions=None, + input="test input", + model_settings=settings, + tools=[], + output_schema=None, + handoffs=[], + tracing=ModelTracing.DISABLED, + previous_response_id=None, + ) + + # Verify that all kwargs were passed through + assert captured["custom_param"] == "custom_value" + assert captured["seed"] == 42 + assert captured["stop"] == ["END"] + assert captured["logit_bias"] == {123: -100} + + # Verify regular parameters are still passed + assert captured["temperature"] == 0.5 + + +@pytest.mark.allow_call_model_methods +@pytest.mark.asyncio +async def test_openai_chatcompletions_kwargs_forwarded(monkeypatch): + """ + Test that kwargs from ModelSettings are forwarded to OpenAI chat completions API. + """ + captured: dict[str, object] = {} + + class MockChatCompletions: + async def create(self, **kwargs): + captured.update(kwargs) + msg = ChatCompletionMessage(role="assistant", content="test response") + choice = Choice(index=0, message=msg, finish_reason="stop") + return ChatCompletion( + id="test-id", + created=0, + model="gpt-4", + object="chat.completion", + choices=[choice], + usage=CompletionUsage(completion_tokens=5, prompt_tokens=10, total_tokens=15), + ) + + class MockChat: + def __init__(self): + self.completions = MockChatCompletions() + + class MockClient: + def __init__(self): + self.chat = MockChat() + self.base_url = "https://api.openai.com/v1" + + settings = ModelSettings( + temperature=0.7, + kwargs={"seed": 123, "logit_bias": {456: 10}, "stop": ["STOP", "END"], "user": "test-user"}, + ) + + mock_client = MockClient() + model = OpenAIChatCompletionsModel(model="gpt-4", openai_client=mock_client) # type: ignore + + await model.get_response( + system_instructions="Test system", + input="test input", + model_settings=settings, + tools=[], + output_schema=None, + handoffs=[], + tracing=ModelTracing.DISABLED, + previous_response_id=None, + ) + + # Verify that all kwargs were passed through + assert captured["seed"] == 123 + assert captured["logit_bias"] == {456: 10} + assert captured["stop"] == ["STOP", "END"] + assert captured["user"] == "test-user" + + # Verify regular parameters are still passed + assert captured["temperature"] == 0.7 + + +@pytest.mark.allow_call_model_methods +@pytest.mark.asyncio +async def test_empty_kwargs_handling(monkeypatch): + """ + Test that empty or None kwargs are handled gracefully. + """ + captured: dict[str, object] = {} + + async def fake_acompletion(model, messages=None, **kwargs): + captured.update(kwargs) + msg = Message(role="assistant", content="test response") + choice = Choices(index=0, message=msg) + return ModelResponse(choices=[choice], usage=Usage(0, 0, 0)) + + monkeypatch.setattr(litellm, "acompletion", fake_acompletion) + + # Test with None kwargs + settings_none = ModelSettings(temperature=0.5, kwargs=None) + model = LitellmModel(model="test-model") + + await model.get_response( + system_instructions=None, + input="test input", + model_settings=settings_none, + tools=[], + output_schema=None, + handoffs=[], + tracing=ModelTracing.DISABLED, + previous_response_id=None, + ) + + # Should work without error and include regular parameters + assert captured["temperature"] == 0.5 + + # Test with empty dict + captured.clear() + settings_empty = ModelSettings(temperature=0.3, kwargs={}) + + await model.get_response( + system_instructions=None, + input="test input", + model_settings=settings_empty, + tools=[], + output_schema=None, + handoffs=[], + tracing=ModelTracing.DISABLED, + previous_response_id=None, + ) + + # Should work without error and include regular parameters + assert captured["temperature"] == 0.3 From cd03ffd3b801beda8a4ec72af871025f1e1abed0 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 10 Jun 2025 18:13:26 -0400 Subject: [PATCH 129/337] Allow arbitrary kwargs in model --- src/agents/extensions/models/litellm_model.py | 4 + src/agents/model_settings.py | 15 ++ src/agents/models/openai_chatcompletions.py | 1 + src/agents/models/openai_responses.py | 1 + tests/model_settings/test_serialization.py | 74 ++++++++ tests/models/test_kwargs_functionality.py | 177 ++++++++++++++++++ 6 files changed, 272 insertions(+) create mode 100644 tests/models/test_kwargs_functionality.py diff --git a/src/agents/extensions/models/litellm_model.py b/src/agents/extensions/models/litellm_model.py index 7cf7a2de5..3ded80be2 100644 --- a/src/agents/extensions/models/litellm_model.py +++ b/src/agents/extensions/models/litellm_model.py @@ -284,6 +284,10 @@ async def _fetch_response( if model_settings.extra_body and isinstance(model_settings.extra_body, dict): extra_kwargs.update(model_settings.extra_body) + # Add kwargs from model_settings.extra_args, filtering out None values + if model_settings.extra_args: + extra_kwargs.update(model_settings.extra_args) + ret = await litellm.acompletion( model=self.model, messages=converted_messages, diff --git a/src/agents/model_settings.py b/src/agents/model_settings.py index 7b016c98f..881390279 100644 --- a/src/agents/model_settings.py +++ b/src/agents/model_settings.py @@ -73,6 +73,11 @@ class ModelSettings: """Additional headers to provide with the request. Defaults to None if not provided.""" + extra_args: dict[str, Any] | None = None + """Arbitrary keyword arguments to pass to the model API call. + These will be passed directly to the underlying model provider's API. + Use with caution as not all models support all parameters.""" + def resolve(self, override: ModelSettings | None) -> ModelSettings: """Produce a new ModelSettings by overlaying any non-None values from the override on top of this instance.""" @@ -84,6 +89,16 @@ def resolve(self, override: ModelSettings | None) -> ModelSettings: for field in fields(self) if getattr(override, field.name) is not None } + + # Handle extra_args merging specially - merge dictionaries instead of replacing + if self.extra_args is not None or override.extra_args is not None: + merged_args = {} + if self.extra_args: + merged_args.update(self.extra_args) + if override.extra_args: + merged_args.update(override.extra_args) + changes["extra_args"] = merged_args if merged_args else None + return replace(self, **changes) def to_json_dict(self) -> dict[str, Any]: diff --git a/src/agents/models/openai_chatcompletions.py b/src/agents/models/openai_chatcompletions.py index 6b4045d21..4dad976bd 100644 --- a/src/agents/models/openai_chatcompletions.py +++ b/src/agents/models/openai_chatcompletions.py @@ -281,6 +281,7 @@ async def _fetch_response( extra_query=model_settings.extra_query, extra_body=model_settings.extra_body, metadata=self._non_null_or_not_given(model_settings.metadata), + **(model_settings.extra_args or {}), ) if isinstance(ret, ChatCompletion): diff --git a/src/agents/models/openai_responses.py b/src/agents/models/openai_responses.py index 86c8e69cb..fdc391c6a 100644 --- a/src/agents/models/openai_responses.py +++ b/src/agents/models/openai_responses.py @@ -266,6 +266,7 @@ async def _fetch_response( store=self._non_null_or_not_given(model_settings.store), reasoning=self._non_null_or_not_given(model_settings.reasoning), metadata=self._non_null_or_not_given(model_settings.metadata), + **(model_settings.extra_args or {}), ) def _get_client(self) -> AsyncOpenAI: diff --git a/tests/model_settings/test_serialization.py b/tests/model_settings/test_serialization.py index d76a58d17..ad4db4019 100644 --- a/tests/model_settings/test_serialization.py +++ b/tests/model_settings/test_serialization.py @@ -47,6 +47,7 @@ def test_all_fields_serialization() -> None: extra_query={"foo": "bar"}, extra_body={"foo": "bar"}, extra_headers={"foo": "bar"}, + extra_args={"custom_param": "value", "another_param": 42}, ) # Verify that every single field is set to a non-None value @@ -57,3 +58,76 @@ def test_all_fields_serialization() -> None: # Now, lets serialize the ModelSettings instance to a JSON string verify_serialization(model_settings) + + +def test_extra_args_serialization() -> None: + """Test that extra_args are properly serialized.""" + model_settings = ModelSettings( + temperature=0.5, + extra_args={"custom_param": "value", "another_param": 42, "nested": {"key": "value"}}, + ) + + json_dict = model_settings.to_json_dict() + assert json_dict["extra_args"] == { + "custom_param": "value", + "another_param": 42, + "nested": {"key": "value"}, + } + + # Verify serialization works + verify_serialization(model_settings) + + +def test_extra_args_resolve() -> None: + """Test that extra_args are properly merged in the resolve method.""" + base_settings = ModelSettings( + temperature=0.5, extra_args={"param1": "base_value", "param2": "base_only"} + ) + + override_settings = ModelSettings( + top_p=0.9, extra_args={"param1": "override_value", "param3": "override_only"} + ) + + resolved = base_settings.resolve(override_settings) + + # Check that regular fields are properly resolved + assert resolved.temperature == 0.5 # from base + assert resolved.top_p == 0.9 # from override + + # Check that extra_args are properly merged + expected_extra_args = { + "param1": "override_value", # override wins + "param2": "base_only", # from base + "param3": "override_only", # from override + } + assert resolved.extra_args == expected_extra_args + + +def test_extra_args_resolve_with_none() -> None: + """Test that resolve works properly when one side has None extra_args.""" + # Base with extra_args, override with None + base_settings = ModelSettings(extra_args={"param1": "value1"}) + override_settings = ModelSettings(temperature=0.8) + + resolved = base_settings.resolve(override_settings) + assert resolved.extra_args == {"param1": "value1"} + assert resolved.temperature == 0.8 + + # Base with None, override with extra_args + base_settings = ModelSettings(temperature=0.5) + override_settings = ModelSettings(extra_args={"param2": "value2"}) + + resolved = base_settings.resolve(override_settings) + assert resolved.extra_args == {"param2": "value2"} + assert resolved.temperature == 0.5 + + +def test_extra_args_resolve_both_none() -> None: + """Test that resolve works when both sides have None extra_args.""" + base_settings = ModelSettings(temperature=0.5) + override_settings = ModelSettings(top_p=0.9) + + resolved = base_settings.resolve(override_settings) + assert resolved.extra_args is None + assert resolved.temperature == 0.5 + assert resolved.top_p == 0.9 diff --git a/tests/models/test_kwargs_functionality.py b/tests/models/test_kwargs_functionality.py new file mode 100644 index 000000000..210610a02 --- /dev/null +++ b/tests/models/test_kwargs_functionality.py @@ -0,0 +1,177 @@ +import litellm +import pytest +from litellm.types.utils import Choices, Message, ModelResponse, Usage +from openai.types.chat.chat_completion import ChatCompletion, Choice +from openai.types.chat.chat_completion_message import ChatCompletionMessage +from openai.types.completion_usage import CompletionUsage + +from agents.extensions.models.litellm_model import LitellmModel +from agents.model_settings import ModelSettings +from agents.models.interface import ModelTracing +from agents.models.openai_chatcompletions import OpenAIChatCompletionsModel + + +@pytest.mark.allow_call_model_methods +@pytest.mark.asyncio +async def test_litellm_kwargs_forwarded(monkeypatch): + """ + Test that kwargs from ModelSettings are forwarded to litellm.acompletion. + """ + captured: dict[str, object] = {} + + async def fake_acompletion(model, messages=None, **kwargs): + captured.update(kwargs) + msg = Message(role="assistant", content="test response") + choice = Choices(index=0, message=msg) + return ModelResponse(choices=[choice], usage=Usage(0, 0, 0)) + + monkeypatch.setattr(litellm, "acompletion", fake_acompletion) + + settings = ModelSettings( + temperature=0.5, + extra_args={ + "custom_param": "custom_value", + "seed": 42, + "stop": ["END"], + "logit_bias": {123: -100}, + }, + ) + model = LitellmModel(model="test-model") + + await model.get_response( + system_instructions=None, + input="test input", + model_settings=settings, + tools=[], + output_schema=None, + handoffs=[], + tracing=ModelTracing.DISABLED, + previous_response_id=None, + ) + + # Verify that all kwargs were passed through + assert captured["custom_param"] == "custom_value" + assert captured["seed"] == 42 + assert captured["stop"] == ["END"] + assert captured["logit_bias"] == {123: -100} + + # Verify regular parameters are still passed + assert captured["temperature"] == 0.5 + + +@pytest.mark.allow_call_model_methods +@pytest.mark.asyncio +async def test_openai_chatcompletions_kwargs_forwarded(monkeypatch): + """ + Test that kwargs from ModelSettings are forwarded to OpenAI chat completions API. + """ + captured: dict[str, object] = {} + + class MockChatCompletions: + async def create(self, **kwargs): + captured.update(kwargs) + msg = ChatCompletionMessage(role="assistant", content="test response") + choice = Choice(index=0, message=msg, finish_reason="stop") + return ChatCompletion( + id="test-id", + created=0, + model="gpt-4", + object="chat.completion", + choices=[choice], + usage=CompletionUsage(completion_tokens=5, prompt_tokens=10, total_tokens=15), + ) + + class MockChat: + def __init__(self): + self.completions = MockChatCompletions() + + class MockClient: + def __init__(self): + self.chat = MockChat() + self.base_url = "https://api.openai.com/v1" + + settings = ModelSettings( + temperature=0.7, + extra_args={ + "seed": 123, + "logit_bias": {456: 10}, + "stop": ["STOP", "END"], + "user": "test-user", + }, + ) + + mock_client = MockClient() + model = OpenAIChatCompletionsModel(model="gpt-4", openai_client=mock_client) # type: ignore + + await model.get_response( + system_instructions="Test system", + input="test input", + model_settings=settings, + tools=[], + output_schema=None, + handoffs=[], + tracing=ModelTracing.DISABLED, + previous_response_id=None, + ) + + # Verify that all kwargs were passed through + assert captured["seed"] == 123 + assert captured["logit_bias"] == {456: 10} + assert captured["stop"] == ["STOP", "END"] + assert captured["user"] == "test-user" + + # Verify regular parameters are still passed + assert captured["temperature"] == 0.7 + + +@pytest.mark.allow_call_model_methods +@pytest.mark.asyncio +async def test_empty_kwargs_handling(monkeypatch): + """ + Test that empty or None kwargs are handled gracefully. + """ + captured: dict[str, object] = {} + + async def fake_acompletion(model, messages=None, **kwargs): + captured.update(kwargs) + msg = Message(role="assistant", content="test response") + choice = Choices(index=0, message=msg) + return ModelResponse(choices=[choice], usage=Usage(0, 0, 0)) + + monkeypatch.setattr(litellm, "acompletion", fake_acompletion) + + # Test with None kwargs + settings_none = ModelSettings(temperature=0.5, extra_args=None) + model = LitellmModel(model="test-model") + + await model.get_response( + system_instructions=None, + input="test input", + model_settings=settings_none, + tools=[], + output_schema=None, + handoffs=[], + tracing=ModelTracing.DISABLED, + previous_response_id=None, + ) + + # Should work without error and include regular parameters + assert captured["temperature"] == 0.5 + + # Test with empty dict + captured.clear() + settings_empty = ModelSettings(temperature=0.3, extra_args={}) + + await model.get_response( + system_instructions=None, + input="test input", + model_settings=settings_empty, + tools=[], + output_schema=None, + handoffs=[], + tracing=ModelTracing.DISABLED, + previous_response_id=None, + ) + + # Should work without error and include regular parameters + assert captured["temperature"] == 0.3 From 2e8757c8e16de95151f7803b68752d3377bae56b Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 16 Jun 2025 10:51:19 -0400 Subject: [PATCH 130/337] prompts --- src/agents/__init__.py | 4 + src/agents/agent.py | 12 +++ src/agents/extensions/models/litellm_model.py | 8 +- src/agents/models/interface.py | 6 ++ src/agents/models/openai_chatcompletions.py | 9 ++- src/agents/models/openai_responses.py | 7 ++ src/agents/prompts.py | 76 +++++++++++++++++++ src/agents/run.py | 17 ++++- src/agents/tool_context.py | 1 + tests/fake_model.py | 2 + .../test_litellm_chatcompletions_stream.py | 3 + tests/test_openai_chatcompletions.py | 4 + tests/test_openai_chatcompletions_stream.py | 3 + tests/voice/test_workflow.py | 3 + 14 files changed, 151 insertions(+), 4 deletions(-) create mode 100644 src/agents/prompts.py diff --git a/src/agents/__init__.py b/src/agents/__init__.py index ee2f2aa16..7c14ecff5 100644 --- a/src/agents/__init__.py +++ b/src/agents/__init__.py @@ -45,6 +45,7 @@ from .models.openai_chatcompletions import OpenAIChatCompletionsModel from .models.openai_provider import OpenAIProvider from .models.openai_responses import OpenAIResponsesModel +from .prompts import DynamicPrompt, GenerateDynamicPromptData, Prompt from .repl import run_demo_loop from .result import RunResult, RunResultStreaming from .run import RunConfig, Runner @@ -178,6 +179,9 @@ def enable_verbose_stdout_logging(): "AgentsException", "InputGuardrailTripwireTriggered", "OutputGuardrailTripwireTriggered", + "DynamicPrompt", + "GenerateDynamicPromptData", + "Prompt", "MaxTurnsExceeded", "ModelBehaviorError", "UserError", diff --git a/src/agents/agent.py b/src/agents/agent.py index 6adccedd5..1e3c10651 100644 --- a/src/agents/agent.py +++ b/src/agents/agent.py @@ -7,6 +7,7 @@ from dataclasses import dataclass, field from typing import TYPE_CHECKING, Any, Callable, Generic, Literal, cast +from openai.types.responses.response_create_params import Prompt as ResponsesPrompt from typing_extensions import NotRequired, TypeAlias, TypedDict from .agent_output import AgentOutputSchemaBase @@ -17,6 +18,7 @@ from .mcp import MCPUtil from .model_settings import ModelSettings from .models.interface import Model +from .prompts import DynamicPromptFunction, Prompt, PromptUtil from .run_context import RunContextWrapper, TContext from .tool import FunctionTool, FunctionToolResult, Tool, function_tool from .util import _transforms @@ -95,6 +97,12 @@ class Agent(Generic[TContext]): return a string. """ + prompt: Prompt | DynamicPromptFunction | None = None + """A prompt object (or a function that returns a Prompt). Prompts allow you to dynamically + configure the instructions, tools and other config for an agent outside of your code. Only + usable with OpenAI models, using the Responses API. + """ + handoff_description: str | None = None """A description of the agent. This is used when the agent is used as a handoff, so that an LLM knows what it does and when to invoke it. @@ -242,6 +250,10 @@ async def get_system_prompt(self, run_context: RunContextWrapper[TContext]) -> s return None + async def get_prompt(self, run_context: RunContextWrapper[TContext]) -> ResponsesPrompt | None: + """Get the prompt for the agent.""" + return await PromptUtil.to_model_input(self.prompt, run_context, self) + async def get_mcp_tools(self) -> list[Tool]: """Fetches the available tools from the MCP servers.""" convert_schemas_to_strict = self.mcp_config.get("convert_schemas_to_strict", False) diff --git a/src/agents/extensions/models/litellm_model.py b/src/agents/extensions/models/litellm_model.py index 3ded80be2..c58a52dae 100644 --- a/src/agents/extensions/models/litellm_model.py +++ b/src/agents/extensions/models/litellm_model.py @@ -71,6 +71,7 @@ async def get_response( handoffs: list[Handoff], tracing: ModelTracing, previous_response_id: str | None, + prompt: Any | None = None, ) -> ModelResponse: with generation_span( model=str(self.model), @@ -88,6 +89,7 @@ async def get_response( span_generation, tracing, stream=False, + prompt=prompt, ) assert isinstance(response.choices[0], litellm.types.utils.Choices) @@ -153,8 +155,8 @@ async def stream_response( output_schema: AgentOutputSchemaBase | None, handoffs: list[Handoff], tracing: ModelTracing, - *, previous_response_id: str | None, + prompt: Any | None = None, ) -> AsyncIterator[TResponseStreamEvent]: with generation_span( model=str(self.model), @@ -172,6 +174,7 @@ async def stream_response( span_generation, tracing, stream=True, + prompt=prompt, ) final_response: Response | None = None @@ -202,6 +205,7 @@ async def _fetch_response( span: Span[GenerationSpanData], tracing: ModelTracing, stream: Literal[True], + prompt: Any | None = None, ) -> tuple[Response, AsyncStream[ChatCompletionChunk]]: ... @overload @@ -216,6 +220,7 @@ async def _fetch_response( span: Span[GenerationSpanData], tracing: ModelTracing, stream: Literal[False], + prompt: Any | None = None, ) -> litellm.types.utils.ModelResponse: ... async def _fetch_response( @@ -229,6 +234,7 @@ async def _fetch_response( span: Span[GenerationSpanData], tracing: ModelTracing, stream: bool = False, + prompt: Any | None = None, ) -> litellm.types.utils.ModelResponse | tuple[Response, AsyncStream[ChatCompletionChunk]]: converted_messages = Converter.items_to_messages(input) diff --git a/src/agents/models/interface.py b/src/agents/models/interface.py index 3a79e5640..f55c4e740 100644 --- a/src/agents/models/interface.py +++ b/src/agents/models/interface.py @@ -5,6 +5,8 @@ from collections.abc import AsyncIterator from typing import TYPE_CHECKING +from openai.types.responses.response_create_params import Prompt as ResponsesPrompt + from ..agent_output import AgentOutputSchemaBase from ..handoffs import Handoff from ..items import ModelResponse, TResponseInputItem, TResponseStreamEvent @@ -46,6 +48,7 @@ async def get_response( tracing: ModelTracing, *, previous_response_id: str | None, + prompt: ResponsesPrompt | None, ) -> ModelResponse: """Get a response from the model. @@ -59,6 +62,7 @@ async def get_response( tracing: Tracing configuration. previous_response_id: the ID of the previous response. Generally not used by the model, except for the OpenAI Responses API. + prompt: The prompt config to use for the model. Returns: The full model response. @@ -77,6 +81,7 @@ def stream_response( tracing: ModelTracing, *, previous_response_id: str | None, + prompt: ResponsesPrompt | None, ) -> AsyncIterator[TResponseStreamEvent]: """Stream a response from the model. @@ -90,6 +95,7 @@ def stream_response( tracing: Tracing configuration. previous_response_id: the ID of the previous response. Generally not used by the model, except for the OpenAI Responses API. + prompt: The prompt config to use for the model. Returns: An iterator of response stream events, in OpenAI Responses format. diff --git a/src/agents/models/openai_chatcompletions.py b/src/agents/models/openai_chatcompletions.py index 4dad976bd..0d29db8f4 100644 --- a/src/agents/models/openai_chatcompletions.py +++ b/src/agents/models/openai_chatcompletions.py @@ -9,6 +9,7 @@ from openai.types import ChatModel from openai.types.chat import ChatCompletion, ChatCompletionChunk from openai.types.responses import Response +from openai.types.responses.response_create_params import Prompt as ResponsesPrompt from openai.types.responses.response_usage import InputTokensDetails, OutputTokensDetails from .. import _debug @@ -53,6 +54,7 @@ async def get_response( handoffs: list[Handoff], tracing: ModelTracing, previous_response_id: str | None, + prompt: ResponsesPrompt | None = None, ) -> ModelResponse: with generation_span( model=str(self.model), @@ -69,6 +71,7 @@ async def get_response( span_generation, tracing, stream=False, + prompt=prompt, ) first_choice = response.choices[0] @@ -136,8 +139,8 @@ async def stream_response( output_schema: AgentOutputSchemaBase | None, handoffs: list[Handoff], tracing: ModelTracing, - *, previous_response_id: str | None, + prompt: ResponsesPrompt | None = None, ) -> AsyncIterator[TResponseStreamEvent]: """ Yields a partial message as it is generated, as well as the usage information. @@ -157,6 +160,7 @@ async def stream_response( span_generation, tracing, stream=True, + prompt=prompt, ) final_response: Response | None = None @@ -187,6 +191,7 @@ async def _fetch_response( span: Span[GenerationSpanData], tracing: ModelTracing, stream: Literal[True], + prompt: ResponsesPrompt | None = None, ) -> tuple[Response, AsyncStream[ChatCompletionChunk]]: ... @overload @@ -201,6 +206,7 @@ async def _fetch_response( span: Span[GenerationSpanData], tracing: ModelTracing, stream: Literal[False], + prompt: ResponsesPrompt | None = None, ) -> ChatCompletion: ... async def _fetch_response( @@ -214,6 +220,7 @@ async def _fetch_response( span: Span[GenerationSpanData], tracing: ModelTracing, stream: bool = False, + prompt: ResponsesPrompt | None = None, ) -> ChatCompletion | tuple[Response, AsyncStream[ChatCompletionChunk]]: converted_messages = Converter.items_to_messages(input) diff --git a/src/agents/models/openai_responses.py b/src/agents/models/openai_responses.py index fdc391c6a..adae720bf 100644 --- a/src/agents/models/openai_responses.py +++ b/src/agents/models/openai_responses.py @@ -74,6 +74,7 @@ async def get_response( handoffs: list[Handoff], tracing: ModelTracing, previous_response_id: str | None, + prompt: ResponsesPrompt | None = None, ) -> ModelResponse: with response_span(disabled=tracing.is_disabled()) as span_response: try: @@ -86,6 +87,7 @@ async def get_response( handoffs, previous_response_id, stream=False, + prompt=prompt, ) if _debug.DONT_LOG_MODEL_DATA: @@ -141,6 +143,7 @@ async def stream_response( handoffs: list[Handoff], tracing: ModelTracing, previous_response_id: str | None, + prompt: ResponsesPrompt | None = None, ) -> AsyncIterator[ResponseStreamEvent]: """ Yields a partial message as it is generated, as well as the usage information. @@ -156,6 +159,7 @@ async def stream_response( handoffs, previous_response_id, stream=True, + prompt=prompt, ) final_response: Response | None = None @@ -192,6 +196,7 @@ async def _fetch_response( handoffs: list[Handoff], previous_response_id: str | None, stream: Literal[True], + prompt: ResponsesPrompt | None = None, ) -> AsyncStream[ResponseStreamEvent]: ... @overload @@ -205,6 +210,7 @@ async def _fetch_response( handoffs: list[Handoff], previous_response_id: str | None, stream: Literal[False], + prompt: ResponsesPrompt | None = None, ) -> Response: ... async def _fetch_response( @@ -217,6 +223,7 @@ async def _fetch_response( handoffs: list[Handoff], previous_response_id: str | None, stream: Literal[True] | Literal[False] = False, + prompt: ResponsesPrompt | None = None, ) -> Response | AsyncStream[ResponseStreamEvent]: list_input = ItemHelpers.input_to_new_input_list(input) diff --git a/src/agents/prompts.py b/src/agents/prompts.py new file mode 100644 index 000000000..d16a76b0b --- /dev/null +++ b/src/agents/prompts.py @@ -0,0 +1,76 @@ +from __future__ import annotations + +import inspect +from dataclasses import dataclass +from typing import TYPE_CHECKING, Any, Callable + +from openai.types.responses.response_create_params import ( + Prompt as ResponsesPrompt, + PromptVariables as ResponsesPromptVariables, +) +from typing_extensions import NotRequired, TypedDict + +from agents.util._types import MaybeAwaitable + +from .exceptions import UserError +from .run_context import RunContextWrapper + +if TYPE_CHECKING: + from .agent import Agent + + +class Prompt(TypedDict): + """Prompt configuration to use for interacting with an OpenAI model.""" + + id: str + """The unique ID of the prompt.""" + + version: NotRequired[str] + """Optional version of the prompt.""" + + variables: NotRequired[dict[str, ResponsesPromptVariables]] + """Optional variables to substitute into the prompt.""" + + +@dataclass +class GenerateDynamicPromptData: + """Inputs to a function that allows you to dynamically generate a prompt.""" + + context: RunContextWrapper[Any] + """The run context.""" + + agent: Agent[Any] + """The agent for which the prompt is being generated.""" + + +DynamicPromptFunction = Callable[[GenerateDynamicPromptData], MaybeAwaitable[Prompt]] +"""A function that dynamically generates a prompt.""" + + +class PromptUtil: + @staticmethod + async def to_model_input( + prompt: Prompt | DynamicPromptFunction | None, + context: RunContextWrapper[Any], + agent: Agent[Any], + ) -> ResponsesPrompt | None: + if prompt is None: + return None + + resolved_prompt: Prompt + if isinstance(prompt, Prompt): + resolved_prompt = prompt + else: + func_result = prompt(GenerateDynamicPromptData(context=context, agent=agent)) + if inspect.isawaitable(func_result): + resolved_prompt = await func_result + else: + resolved_prompt = func_result + if not isinstance(resolved_prompt, Prompt): + raise UserError("Dynamic prompt function must return a Prompt") + + return { + "id": resolved_prompt["id"], + "version": resolved_prompt.get("version"), + "variables": resolved_prompt.get("variables"), + } diff --git a/src/agents/run.py b/src/agents/run.py index f375a0b89..06fd0ed4f 100644 --- a/src/agents/run.py +++ b/src/agents/run.py @@ -6,6 +6,9 @@ from typing import Any, cast from openai.types.responses import ResponseCompletedEvent +from openai.types.responses.response_create_params import ( + Prompt as ResponsesPrompt, +) from ._run_impl import ( AgentToolUseTracker, @@ -682,7 +685,10 @@ async def _run_single_turn_streamed( streamed_result.current_agent = agent streamed_result._current_agent_output_schema = output_schema - system_prompt = await agent.get_system_prompt(context_wrapper) + system_prompt, prompt_config = await asyncio.gather( + agent.get_system_prompt(context_wrapper), + agent.get_prompt(context_wrapper), + ) handoffs = cls._get_handoffs(agent) model = cls._get_model(agent, run_config) @@ -706,6 +712,7 @@ async def _run_single_turn_streamed( run_config.tracing_disabled, run_config.trace_include_sensitive_data ), previous_response_id=previous_response_id, + prompt=prompt_config, ): if isinstance(event, ResponseCompletedEvent): usage = ( @@ -777,7 +784,10 @@ async def _run_single_turn( ), ) - system_prompt = await agent.get_system_prompt(context_wrapper) + system_prompt, prompt_config = await asyncio.gather( + agent.get_system_prompt(context_wrapper), + agent.get_prompt(context_wrapper), + ) output_schema = cls._get_output_schema(agent) handoffs = cls._get_handoffs(agent) @@ -795,6 +805,7 @@ async def _run_single_turn( run_config, tool_use_tracker, previous_response_id, + prompt_config, ) return await cls._get_single_step_result_from_response( @@ -938,6 +949,7 @@ async def _get_new_response( run_config: RunConfig, tool_use_tracker: AgentToolUseTracker, previous_response_id: str | None, + prompt_config: ResponsesPrompt | None, ) -> ModelResponse: model = cls._get_model(agent, run_config) model_settings = agent.model_settings.resolve(run_config.model_settings) @@ -954,6 +966,7 @@ async def _get_new_response( run_config.tracing_disabled, run_config.trace_include_sensitive_data ), previous_response_id=previous_response_id, + prompt=prompt_config, ) context_wrapper.usage.add(new_response.usage) diff --git a/src/agents/tool_context.py b/src/agents/tool_context.py index 17b595f06..c4329b8af 100644 --- a/src/agents/tool_context.py +++ b/src/agents/tool_context.py @@ -7,6 +7,7 @@ def _assert_must_pass_tool_call_id() -> str: raise ValueError("tool_call_id must be passed to ToolContext") + @dataclass class ToolContext(RunContextWrapper[TContext]): """The context of a tool call.""" diff --git a/tests/fake_model.py b/tests/fake_model.py index 9f0c83a2f..6c1377e6d 100644 --- a/tests/fake_model.py +++ b/tests/fake_model.py @@ -61,6 +61,7 @@ async def get_response( tracing: ModelTracing, *, previous_response_id: str | None, + prompt: Any | None, ) -> ModelResponse: self.last_turn_args = { "system_instructions": system_instructions, @@ -103,6 +104,7 @@ async def stream_response( tracing: ModelTracing, *, previous_response_id: str | None, + prompt: Any | None, ) -> AsyncIterator[TResponseStreamEvent]: self.last_turn_args = { "system_instructions": system_instructions, diff --git a/tests/models/test_litellm_chatcompletions_stream.py b/tests/models/test_litellm_chatcompletions_stream.py index 06e46b39c..cd342e444 100644 --- a/tests/models/test_litellm_chatcompletions_stream.py +++ b/tests/models/test_litellm_chatcompletions_stream.py @@ -90,6 +90,7 @@ async def patched_fetch_response(self, *args, **kwargs): handoffs=[], tracing=ModelTracing.DISABLED, previous_response_id=None, + prompt=None, ): output_events.append(event) # We expect a response.created, then a response.output_item.added, content part added, @@ -182,6 +183,7 @@ async def patched_fetch_response(self, *args, **kwargs): handoffs=[], tracing=ModelTracing.DISABLED, previous_response_id=None, + prompt=None, ): output_events.append(event) # Expect sequence similar to text: created, output_item.added, content part added, @@ -270,6 +272,7 @@ async def patched_fetch_response(self, *args, **kwargs): handoffs=[], tracing=ModelTracing.DISABLED, previous_response_id=None, + prompt=None, ): output_events.append(event) # Sequence should be: response.created, then after loop we expect function call-related events: diff --git a/tests/test_openai_chatcompletions.py b/tests/test_openai_chatcompletions.py index 9a85dcb7b..a6909b195 100644 --- a/tests/test_openai_chatcompletions.py +++ b/tests/test_openai_chatcompletions.py @@ -77,6 +77,7 @@ async def patched_fetch_response(self, *args, **kwargs): handoffs=[], tracing=ModelTracing.DISABLED, previous_response_id=None, + prompt=None, ) # Should have produced exactly one output message with one text part assert isinstance(resp, ModelResponse) @@ -128,6 +129,7 @@ async def patched_fetch_response(self, *args, **kwargs): handoffs=[], tracing=ModelTracing.DISABLED, previous_response_id=None, + prompt=None, ) assert len(resp.output) == 1 assert isinstance(resp.output[0], ResponseOutputMessage) @@ -180,6 +182,7 @@ async def patched_fetch_response(self, *args, **kwargs): handoffs=[], tracing=ModelTracing.DISABLED, previous_response_id=None, + prompt=None, ) # Expect a message item followed by a function tool call item. assert len(resp.output) == 2 @@ -221,6 +224,7 @@ async def patched_fetch_response(self, *args, **kwargs): handoffs=[], tracing=ModelTracing.DISABLED, previous_response_id=None, + prompt=None, ) assert resp.output == [] diff --git a/tests/test_openai_chatcompletions_stream.py b/tests/test_openai_chatcompletions_stream.py index 5c8bb9e3a..49e7bc2f4 100644 --- a/tests/test_openai_chatcompletions_stream.py +++ b/tests/test_openai_chatcompletions_stream.py @@ -90,6 +90,7 @@ async def patched_fetch_response(self, *args, **kwargs): handoffs=[], tracing=ModelTracing.DISABLED, previous_response_id=None, + prompt=None, ): output_events.append(event) # We expect a response.created, then a response.output_item.added, content part added, @@ -182,6 +183,7 @@ async def patched_fetch_response(self, *args, **kwargs): handoffs=[], tracing=ModelTracing.DISABLED, previous_response_id=None, + prompt=None, ): output_events.append(event) # Expect sequence similar to text: created, output_item.added, content part added, @@ -270,6 +272,7 @@ async def patched_fetch_response(self, *args, **kwargs): handoffs=[], tracing=ModelTracing.DISABLED, previous_response_id=None, + prompt=None, ): output_events.append(event) # Sequence should be: response.created, then after loop we expect function call-related events: diff --git a/tests/voice/test_workflow.py b/tests/voice/test_workflow.py index 035a05d56..cfbb95011 100644 --- a/tests/voice/test_workflow.py +++ b/tests/voice/test_workflow.py @@ -2,6 +2,7 @@ import json from collections.abc import AsyncIterator +from typing import Any import pytest from inline_snapshot import snapshot @@ -53,6 +54,7 @@ async def get_response( tracing: ModelTracing, *, previous_response_id: str | None, + prompt: Any | None, ) -> ModelResponse: raise NotImplementedError("Not implemented") @@ -67,6 +69,7 @@ async def stream_response( tracing: ModelTracing, *, previous_response_id: str | None, + prompt: Any | None, ) -> AsyncIterator[TResponseStreamEvent]: output = self.get_next_output() for item in output: From d935ad128442c3aeb72f4c46a2891dec4b31e40d Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 16 Jun 2025 15:41:35 -0400 Subject: [PATCH 131/337] prompts --- examples/basic/prompt_template.py | 61 ++++++++++++ pyproject.toml | 2 +- src/agents/__init__.py | 4 + src/agents/agent.py | 14 +++ src/agents/extensions/models/litellm_model.py | 8 +- src/agents/models/interface.py | 6 ++ src/agents/models/openai_chatcompletions.py | 9 +- src/agents/models/openai_responses.py | 9 ++ src/agents/prompts.py | 76 +++++++++++++++ src/agents/run.py | 17 +++- src/agents/tool_context.py | 1 + tests/fake_model.py | 2 + .../test_litellm_chatcompletions_stream.py | 3 + tests/test_agent_prompt.py | 97 +++++++++++++++++++ tests/test_openai_chatcompletions.py | 4 + tests/test_openai_chatcompletions_stream.py | 3 + tests/test_responses_tracing.py | 6 ++ tests/voice/test_workflow.py | 3 + uv.lock | 8 +- 19 files changed, 324 insertions(+), 9 deletions(-) create mode 100644 examples/basic/prompt_template.py create mode 100644 src/agents/prompts.py create mode 100644 tests/test_agent_prompt.py diff --git a/examples/basic/prompt_template.py b/examples/basic/prompt_template.py new file mode 100644 index 000000000..e3379a2f6 --- /dev/null +++ b/examples/basic/prompt_template.py @@ -0,0 +1,61 @@ +import argparse +import asyncio +import random + +from agents import Agent, GenerateDynamicPromptData, Runner + + +class DynamicContext: + def __init__(self): + self.poem_style = random.choice(["limerick", "palindrome", "haiku", "ballad"]) + print(f"[debug] DynamicContext initialized with poem_style: {self.poem_style}") + + +async def _get_dynamic_prompt(data: GenerateDynamicPromptData): + ctx: DynamicContext = data.context.context + return { + "id": "pmpt_6850729e8ba481939fd439e058c69ee004afaa19c520b78b", + "version": "1", + "variables": { + "poem_style": ctx.poem_style, + }, + } + + +async def dynamic_prompt(): + context = DynamicContext() + + agent = Agent( + name="Assistant", + prompt=_get_dynamic_prompt, + ) + + result = await Runner.run(agent, "Tell me about recursion in programming.", context=context) + print(result.final_output) + + +async def static_prompt(): + agent = Agent( + name="Assistant", + prompt={ + "id": "pmpt_6850729e8ba481939fd439e058c69ee004afaa19c520b78b", + "version": "1", + "variables": { + "poem_style": "limerick", + }, + }, + ) + + result = await Runner.run(agent, "Tell me about recursion in programming.") + print(result.final_output) + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument("--dynamic", action="store_true") + args = parser.parse_args() + + if args.dynamic: + asyncio.run(dynamic_prompt()) + else: + asyncio.run(static_prompt()) diff --git a/pyproject.toml b/pyproject.toml index a674dac96..e6d1d7746 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -7,7 +7,7 @@ requires-python = ">=3.9" license = "MIT" authors = [{ name = "OpenAI", email = "support@openai.com" }] dependencies = [ - "openai>=1.81.0", + "openai>=1.87.0", "pydantic>=2.10, <3", "griffe>=1.5.6, <2", "typing-extensions>=4.12.2, <5", diff --git a/src/agents/__init__.py b/src/agents/__init__.py index ee2f2aa16..a52347605 100644 --- a/src/agents/__init__.py +++ b/src/agents/__init__.py @@ -45,6 +45,7 @@ from .models.openai_chatcompletions import OpenAIChatCompletionsModel from .models.openai_provider import OpenAIProvider from .models.openai_responses import OpenAIResponsesModel +from .prompts import DynamicPromptFunction, GenerateDynamicPromptData, Prompt from .repl import run_demo_loop from .result import RunResult, RunResultStreaming from .run import RunConfig, Runner @@ -178,6 +179,9 @@ def enable_verbose_stdout_logging(): "AgentsException", "InputGuardrailTripwireTriggered", "OutputGuardrailTripwireTriggered", + "DynamicPromptFunction", + "GenerateDynamicPromptData", + "Prompt", "MaxTurnsExceeded", "ModelBehaviorError", "UserError", diff --git a/src/agents/agent.py b/src/agents/agent.py index 6adccedd5..61a9abe0c 100644 --- a/src/agents/agent.py +++ b/src/agents/agent.py @@ -7,6 +7,7 @@ from dataclasses import dataclass, field from typing import TYPE_CHECKING, Any, Callable, Generic, Literal, cast +from openai.types.responses.response_prompt_param import ResponsePromptParam from typing_extensions import NotRequired, TypeAlias, TypedDict from .agent_output import AgentOutputSchemaBase @@ -17,6 +18,7 @@ from .mcp import MCPUtil from .model_settings import ModelSettings from .models.interface import Model +from .prompts import DynamicPromptFunction, Prompt, PromptUtil from .run_context import RunContextWrapper, TContext from .tool import FunctionTool, FunctionToolResult, Tool, function_tool from .util import _transforms @@ -95,6 +97,12 @@ class Agent(Generic[TContext]): return a string. """ + prompt: Prompt | DynamicPromptFunction | None = None + """A prompt object (or a function that returns a Prompt). Prompts allow you to dynamically + configure the instructions, tools and other config for an agent outside of your code. Only + usable with OpenAI models, using the Responses API. + """ + handoff_description: str | None = None """A description of the agent. This is used when the agent is used as a handoff, so that an LLM knows what it does and when to invoke it. @@ -242,6 +250,12 @@ async def get_system_prompt(self, run_context: RunContextWrapper[TContext]) -> s return None + async def get_prompt( + self, run_context: RunContextWrapper[TContext] + ) -> ResponsePromptParam | None: + """Get the prompt for the agent.""" + return await PromptUtil.to_model_input(self.prompt, run_context, self) + async def get_mcp_tools(self) -> list[Tool]: """Fetches the available tools from the MCP servers.""" convert_schemas_to_strict = self.mcp_config.get("convert_schemas_to_strict", False) diff --git a/src/agents/extensions/models/litellm_model.py b/src/agents/extensions/models/litellm_model.py index 3ded80be2..c58a52dae 100644 --- a/src/agents/extensions/models/litellm_model.py +++ b/src/agents/extensions/models/litellm_model.py @@ -71,6 +71,7 @@ async def get_response( handoffs: list[Handoff], tracing: ModelTracing, previous_response_id: str | None, + prompt: Any | None = None, ) -> ModelResponse: with generation_span( model=str(self.model), @@ -88,6 +89,7 @@ async def get_response( span_generation, tracing, stream=False, + prompt=prompt, ) assert isinstance(response.choices[0], litellm.types.utils.Choices) @@ -153,8 +155,8 @@ async def stream_response( output_schema: AgentOutputSchemaBase | None, handoffs: list[Handoff], tracing: ModelTracing, - *, previous_response_id: str | None, + prompt: Any | None = None, ) -> AsyncIterator[TResponseStreamEvent]: with generation_span( model=str(self.model), @@ -172,6 +174,7 @@ async def stream_response( span_generation, tracing, stream=True, + prompt=prompt, ) final_response: Response | None = None @@ -202,6 +205,7 @@ async def _fetch_response( span: Span[GenerationSpanData], tracing: ModelTracing, stream: Literal[True], + prompt: Any | None = None, ) -> tuple[Response, AsyncStream[ChatCompletionChunk]]: ... @overload @@ -216,6 +220,7 @@ async def _fetch_response( span: Span[GenerationSpanData], tracing: ModelTracing, stream: Literal[False], + prompt: Any | None = None, ) -> litellm.types.utils.ModelResponse: ... async def _fetch_response( @@ -229,6 +234,7 @@ async def _fetch_response( span: Span[GenerationSpanData], tracing: ModelTracing, stream: bool = False, + prompt: Any | None = None, ) -> litellm.types.utils.ModelResponse | tuple[Response, AsyncStream[ChatCompletionChunk]]: converted_messages = Converter.items_to_messages(input) diff --git a/src/agents/models/interface.py b/src/agents/models/interface.py index 3a79e5640..5a185806c 100644 --- a/src/agents/models/interface.py +++ b/src/agents/models/interface.py @@ -5,6 +5,8 @@ from collections.abc import AsyncIterator from typing import TYPE_CHECKING +from openai.types.responses.response_prompt_param import ResponsePromptParam + from ..agent_output import AgentOutputSchemaBase from ..handoffs import Handoff from ..items import ModelResponse, TResponseInputItem, TResponseStreamEvent @@ -46,6 +48,7 @@ async def get_response( tracing: ModelTracing, *, previous_response_id: str | None, + prompt: ResponsePromptParam | None, ) -> ModelResponse: """Get a response from the model. @@ -59,6 +62,7 @@ async def get_response( tracing: Tracing configuration. previous_response_id: the ID of the previous response. Generally not used by the model, except for the OpenAI Responses API. + prompt: The prompt config to use for the model. Returns: The full model response. @@ -77,6 +81,7 @@ def stream_response( tracing: ModelTracing, *, previous_response_id: str | None, + prompt: ResponsePromptParam | None, ) -> AsyncIterator[TResponseStreamEvent]: """Stream a response from the model. @@ -90,6 +95,7 @@ def stream_response( tracing: Tracing configuration. previous_response_id: the ID of the previous response. Generally not used by the model, except for the OpenAI Responses API. + prompt: The prompt config to use for the model. Returns: An iterator of response stream events, in OpenAI Responses format. diff --git a/src/agents/models/openai_chatcompletions.py b/src/agents/models/openai_chatcompletions.py index 4dad976bd..08803d8c0 100644 --- a/src/agents/models/openai_chatcompletions.py +++ b/src/agents/models/openai_chatcompletions.py @@ -9,6 +9,7 @@ from openai.types import ChatModel from openai.types.chat import ChatCompletion, ChatCompletionChunk from openai.types.responses import Response +from openai.types.responses.response_prompt_param import ResponsePromptParam from openai.types.responses.response_usage import InputTokensDetails, OutputTokensDetails from .. import _debug @@ -53,6 +54,7 @@ async def get_response( handoffs: list[Handoff], tracing: ModelTracing, previous_response_id: str | None, + prompt: ResponsePromptParam | None = None, ) -> ModelResponse: with generation_span( model=str(self.model), @@ -69,6 +71,7 @@ async def get_response( span_generation, tracing, stream=False, + prompt=prompt, ) first_choice = response.choices[0] @@ -136,8 +139,8 @@ async def stream_response( output_schema: AgentOutputSchemaBase | None, handoffs: list[Handoff], tracing: ModelTracing, - *, previous_response_id: str | None, + prompt: ResponsePromptParam | None = None, ) -> AsyncIterator[TResponseStreamEvent]: """ Yields a partial message as it is generated, as well as the usage information. @@ -157,6 +160,7 @@ async def stream_response( span_generation, tracing, stream=True, + prompt=prompt, ) final_response: Response | None = None @@ -187,6 +191,7 @@ async def _fetch_response( span: Span[GenerationSpanData], tracing: ModelTracing, stream: Literal[True], + prompt: ResponsePromptParam | None = None, ) -> tuple[Response, AsyncStream[ChatCompletionChunk]]: ... @overload @@ -201,6 +206,7 @@ async def _fetch_response( span: Span[GenerationSpanData], tracing: ModelTracing, stream: Literal[False], + prompt: ResponsePromptParam | None = None, ) -> ChatCompletion: ... async def _fetch_response( @@ -214,6 +220,7 @@ async def _fetch_response( span: Span[GenerationSpanData], tracing: ModelTracing, stream: bool = False, + prompt: ResponsePromptParam | None = None, ) -> ChatCompletion | tuple[Response, AsyncStream[ChatCompletionChunk]]: converted_messages = Converter.items_to_messages(input) diff --git a/src/agents/models/openai_responses.py b/src/agents/models/openai_responses.py index fdc391c6a..961f690b0 100644 --- a/src/agents/models/openai_responses.py +++ b/src/agents/models/openai_responses.py @@ -17,6 +17,7 @@ WebSearchToolParam, response_create_params, ) +from openai.types.responses.response_prompt_param import ResponsePromptParam from .. import _debug from ..agent_output import AgentOutputSchemaBase @@ -74,6 +75,7 @@ async def get_response( handoffs: list[Handoff], tracing: ModelTracing, previous_response_id: str | None, + prompt: ResponsePromptParam | None = None, ) -> ModelResponse: with response_span(disabled=tracing.is_disabled()) as span_response: try: @@ -86,6 +88,7 @@ async def get_response( handoffs, previous_response_id, stream=False, + prompt=prompt, ) if _debug.DONT_LOG_MODEL_DATA: @@ -141,6 +144,7 @@ async def stream_response( handoffs: list[Handoff], tracing: ModelTracing, previous_response_id: str | None, + prompt: ResponsePromptParam | None = None, ) -> AsyncIterator[ResponseStreamEvent]: """ Yields a partial message as it is generated, as well as the usage information. @@ -156,6 +160,7 @@ async def stream_response( handoffs, previous_response_id, stream=True, + prompt=prompt, ) final_response: Response | None = None @@ -192,6 +197,7 @@ async def _fetch_response( handoffs: list[Handoff], previous_response_id: str | None, stream: Literal[True], + prompt: ResponsePromptParam | None = None, ) -> AsyncStream[ResponseStreamEvent]: ... @overload @@ -205,6 +211,7 @@ async def _fetch_response( handoffs: list[Handoff], previous_response_id: str | None, stream: Literal[False], + prompt: ResponsePromptParam | None = None, ) -> Response: ... async def _fetch_response( @@ -217,6 +224,7 @@ async def _fetch_response( handoffs: list[Handoff], previous_response_id: str | None, stream: Literal[True] | Literal[False] = False, + prompt: ResponsePromptParam | None = None, ) -> Response | AsyncStream[ResponseStreamEvent]: list_input = ItemHelpers.input_to_new_input_list(input) @@ -252,6 +260,7 @@ async def _fetch_response( input=list_input, include=converted_tools.includes, tools=converted_tools.tools, + prompt=self._non_null_or_not_given(prompt), temperature=self._non_null_or_not_given(model_settings.temperature), top_p=self._non_null_or_not_given(model_settings.top_p), truncation=self._non_null_or_not_given(model_settings.truncation), diff --git a/src/agents/prompts.py b/src/agents/prompts.py new file mode 100644 index 000000000..aa627d033 --- /dev/null +++ b/src/agents/prompts.py @@ -0,0 +1,76 @@ +from __future__ import annotations + +import inspect +from dataclasses import dataclass +from typing import TYPE_CHECKING, Any, Callable + +from openai.types.responses.response_prompt_param import ( + ResponsePromptParam, + Variables as ResponsesPromptVariables, +) +from typing_extensions import NotRequired, TypedDict + +from agents.util._types import MaybeAwaitable + +from .exceptions import UserError +from .run_context import RunContextWrapper + +if TYPE_CHECKING: + from .agent import Agent + + +class Prompt(TypedDict): + """Prompt configuration to use for interacting with an OpenAI model.""" + + id: str + """The unique ID of the prompt.""" + + version: NotRequired[str] + """Optional version of the prompt.""" + + variables: NotRequired[dict[str, ResponsesPromptVariables]] + """Optional variables to substitute into the prompt.""" + + +@dataclass +class GenerateDynamicPromptData: + """Inputs to a function that allows you to dynamically generate a prompt.""" + + context: RunContextWrapper[Any] + """The run context.""" + + agent: Agent[Any] + """The agent for which the prompt is being generated.""" + + +DynamicPromptFunction = Callable[[GenerateDynamicPromptData], MaybeAwaitable[Prompt]] +"""A function that dynamically generates a prompt.""" + + +class PromptUtil: + @staticmethod + async def to_model_input( + prompt: Prompt | DynamicPromptFunction | None, + context: RunContextWrapper[Any], + agent: Agent[Any], + ) -> ResponsePromptParam | None: + if prompt is None: + return None + + resolved_prompt: Prompt + if isinstance(prompt, dict): + resolved_prompt = prompt + else: + func_result = prompt(GenerateDynamicPromptData(context=context, agent=agent)) + if inspect.isawaitable(func_result): + resolved_prompt = await func_result + else: + resolved_prompt = func_result + if not isinstance(resolved_prompt, dict): + raise UserError("Dynamic prompt function must return a Prompt") + + return { + "id": resolved_prompt["id"], + "version": resolved_prompt.get("version"), + "variables": resolved_prompt.get("variables"), + } diff --git a/src/agents/run.py b/src/agents/run.py index f375a0b89..10148a323 100644 --- a/src/agents/run.py +++ b/src/agents/run.py @@ -6,6 +6,9 @@ from typing import Any, cast from openai.types.responses import ResponseCompletedEvent +from openai.types.responses.response_prompt_param import ( + ResponsePromptParam, +) from ._run_impl import ( AgentToolUseTracker, @@ -682,7 +685,10 @@ async def _run_single_turn_streamed( streamed_result.current_agent = agent streamed_result._current_agent_output_schema = output_schema - system_prompt = await agent.get_system_prompt(context_wrapper) + system_prompt, prompt_config = await asyncio.gather( + agent.get_system_prompt(context_wrapper), + agent.get_prompt(context_wrapper), + ) handoffs = cls._get_handoffs(agent) model = cls._get_model(agent, run_config) @@ -706,6 +712,7 @@ async def _run_single_turn_streamed( run_config.tracing_disabled, run_config.trace_include_sensitive_data ), previous_response_id=previous_response_id, + prompt=prompt_config, ): if isinstance(event, ResponseCompletedEvent): usage = ( @@ -777,7 +784,10 @@ async def _run_single_turn( ), ) - system_prompt = await agent.get_system_prompt(context_wrapper) + system_prompt, prompt_config = await asyncio.gather( + agent.get_system_prompt(context_wrapper), + agent.get_prompt(context_wrapper), + ) output_schema = cls._get_output_schema(agent) handoffs = cls._get_handoffs(agent) @@ -795,6 +805,7 @@ async def _run_single_turn( run_config, tool_use_tracker, previous_response_id, + prompt_config, ) return await cls._get_single_step_result_from_response( @@ -938,6 +949,7 @@ async def _get_new_response( run_config: RunConfig, tool_use_tracker: AgentToolUseTracker, previous_response_id: str | None, + prompt_config: ResponsePromptParam | None, ) -> ModelResponse: model = cls._get_model(agent, run_config) model_settings = agent.model_settings.resolve(run_config.model_settings) @@ -954,6 +966,7 @@ async def _get_new_response( run_config.tracing_disabled, run_config.trace_include_sensitive_data ), previous_response_id=previous_response_id, + prompt=prompt_config, ) context_wrapper.usage.add(new_response.usage) diff --git a/src/agents/tool_context.py b/src/agents/tool_context.py index 17b595f06..c4329b8af 100644 --- a/src/agents/tool_context.py +++ b/src/agents/tool_context.py @@ -7,6 +7,7 @@ def _assert_must_pass_tool_call_id() -> str: raise ValueError("tool_call_id must be passed to ToolContext") + @dataclass class ToolContext(RunContextWrapper[TContext]): """The context of a tool call.""" diff --git a/tests/fake_model.py b/tests/fake_model.py index 9f0c83a2f..6c1377e6d 100644 --- a/tests/fake_model.py +++ b/tests/fake_model.py @@ -61,6 +61,7 @@ async def get_response( tracing: ModelTracing, *, previous_response_id: str | None, + prompt: Any | None, ) -> ModelResponse: self.last_turn_args = { "system_instructions": system_instructions, @@ -103,6 +104,7 @@ async def stream_response( tracing: ModelTracing, *, previous_response_id: str | None, + prompt: Any | None, ) -> AsyncIterator[TResponseStreamEvent]: self.last_turn_args = { "system_instructions": system_instructions, diff --git a/tests/models/test_litellm_chatcompletions_stream.py b/tests/models/test_litellm_chatcompletions_stream.py index 06e46b39c..cd342e444 100644 --- a/tests/models/test_litellm_chatcompletions_stream.py +++ b/tests/models/test_litellm_chatcompletions_stream.py @@ -90,6 +90,7 @@ async def patched_fetch_response(self, *args, **kwargs): handoffs=[], tracing=ModelTracing.DISABLED, previous_response_id=None, + prompt=None, ): output_events.append(event) # We expect a response.created, then a response.output_item.added, content part added, @@ -182,6 +183,7 @@ async def patched_fetch_response(self, *args, **kwargs): handoffs=[], tracing=ModelTracing.DISABLED, previous_response_id=None, + prompt=None, ): output_events.append(event) # Expect sequence similar to text: created, output_item.added, content part added, @@ -270,6 +272,7 @@ async def patched_fetch_response(self, *args, **kwargs): handoffs=[], tracing=ModelTracing.DISABLED, previous_response_id=None, + prompt=None, ): output_events.append(event) # Sequence should be: response.created, then after loop we expect function call-related events: diff --git a/tests/test_agent_prompt.py b/tests/test_agent_prompt.py new file mode 100644 index 000000000..010717d66 --- /dev/null +++ b/tests/test_agent_prompt.py @@ -0,0 +1,97 @@ +import pytest + +from agents import Agent, Prompt, RunContextWrapper, Runner + +from .fake_model import FakeModel +from .test_responses import get_text_message + + +class PromptCaptureFakeModel(FakeModel): + """Subclass of FakeModel that records the prompt passed to the model.""" + + def __init__(self): + super().__init__() + self.last_prompt = None + + async def get_response( + self, + system_instructions, + input, + model_settings, + tools, + output_schema, + handoffs, + tracing, + *, + previous_response_id, + prompt, + ): + # Record the prompt that the agent resolved and passed in. + self.last_prompt = prompt + return await super().get_response( + system_instructions, + input, + model_settings, + tools, + output_schema, + handoffs, + tracing, + previous_response_id=previous_response_id, + prompt=prompt, + ) + + +@pytest.mark.asyncio +async def test_static_prompt_is_resolved_correctly(): + static_prompt: Prompt = { + "id": "my_prompt", + "version": "1", + "variables": {"some_var": "some_value"}, + } + + agent = Agent(name="test", prompt=static_prompt) + context_wrapper = RunContextWrapper(context=None) + + resolved = await agent.get_prompt(context_wrapper) + + assert resolved == { + "id": "my_prompt", + "version": "1", + "variables": {"some_var": "some_value"}, + } + + +@pytest.mark.asyncio +async def test_dynamic_prompt_is_resolved_correctly(): + dynamic_prompt_value: Prompt = {"id": "dyn_prompt", "version": "2"} + + def dynamic_prompt_fn(_data): + return dynamic_prompt_value + + agent = Agent(name="test", prompt=dynamic_prompt_fn) + context_wrapper = RunContextWrapper(context=None) + + resolved = await agent.get_prompt(context_wrapper) + + assert resolved == {"id": "dyn_prompt", "version": "2", "variables": None} + + +@pytest.mark.asyncio +async def test_prompt_is_passed_to_model(): + static_prompt: Prompt = {"id": "model_prompt"} + + model = PromptCaptureFakeModel() + agent = Agent(name="test", model=model, prompt=static_prompt) + + # Ensure the model returns a simple message so the run completes in one turn. + model.set_next_output([get_text_message("done")]) + + await Runner.run(agent, input="hello") + + # The model should have received the prompt resolved by the agent. + expected_prompt = { + "id": "model_prompt", + "version": None, + "variables": None, + } + assert model.last_prompt == expected_prompt diff --git a/tests/test_openai_chatcompletions.py b/tests/test_openai_chatcompletions.py index 9a85dcb7b..a6909b195 100644 --- a/tests/test_openai_chatcompletions.py +++ b/tests/test_openai_chatcompletions.py @@ -77,6 +77,7 @@ async def patched_fetch_response(self, *args, **kwargs): handoffs=[], tracing=ModelTracing.DISABLED, previous_response_id=None, + prompt=None, ) # Should have produced exactly one output message with one text part assert isinstance(resp, ModelResponse) @@ -128,6 +129,7 @@ async def patched_fetch_response(self, *args, **kwargs): handoffs=[], tracing=ModelTracing.DISABLED, previous_response_id=None, + prompt=None, ) assert len(resp.output) == 1 assert isinstance(resp.output[0], ResponseOutputMessage) @@ -180,6 +182,7 @@ async def patched_fetch_response(self, *args, **kwargs): handoffs=[], tracing=ModelTracing.DISABLED, previous_response_id=None, + prompt=None, ) # Expect a message item followed by a function tool call item. assert len(resp.output) == 2 @@ -221,6 +224,7 @@ async def patched_fetch_response(self, *args, **kwargs): handoffs=[], tracing=ModelTracing.DISABLED, previous_response_id=None, + prompt=None, ) assert resp.output == [] diff --git a/tests/test_openai_chatcompletions_stream.py b/tests/test_openai_chatcompletions_stream.py index 5c8bb9e3a..49e7bc2f4 100644 --- a/tests/test_openai_chatcompletions_stream.py +++ b/tests/test_openai_chatcompletions_stream.py @@ -90,6 +90,7 @@ async def patched_fetch_response(self, *args, **kwargs): handoffs=[], tracing=ModelTracing.DISABLED, previous_response_id=None, + prompt=None, ): output_events.append(event) # We expect a response.created, then a response.output_item.added, content part added, @@ -182,6 +183,7 @@ async def patched_fetch_response(self, *args, **kwargs): handoffs=[], tracing=ModelTracing.DISABLED, previous_response_id=None, + prompt=None, ): output_events.append(event) # Expect sequence similar to text: created, output_item.added, content part added, @@ -270,6 +272,7 @@ async def patched_fetch_response(self, *args, **kwargs): handoffs=[], tracing=ModelTracing.DISABLED, previous_response_id=None, + prompt=None, ): output_events.append(event) # Sequence should be: response.created, then after loop we expect function call-related events: diff --git a/tests/test_responses_tracing.py b/tests/test_responses_tracing.py index db24fe496..fe63e8ecb 100644 --- a/tests/test_responses_tracing.py +++ b/tests/test_responses_tracing.py @@ -71,6 +71,7 @@ async def dummy_fetch_response( handoffs, prev_response_id, stream, + prompt, ): return DummyResponse() @@ -115,6 +116,7 @@ async def dummy_fetch_response( handoffs, prev_response_id, stream, + prompt, ): return DummyResponse() @@ -157,6 +159,7 @@ async def dummy_fetch_response( handoffs, prev_response_id, stream, + prompt, ): return DummyResponse() @@ -196,6 +199,7 @@ async def dummy_fetch_response( handoffs, prev_response_id, stream, + prompt, ): class DummyStream: async def __aiter__(self): @@ -249,6 +253,7 @@ async def dummy_fetch_response( handoffs, prev_response_id, stream, + prompt, ): class DummyStream: async def __aiter__(self): @@ -301,6 +306,7 @@ async def dummy_fetch_response( handoffs, prev_response_id, stream, + prompt, ): class DummyStream: async def __aiter__(self): diff --git a/tests/voice/test_workflow.py b/tests/voice/test_workflow.py index 035a05d56..cfbb95011 100644 --- a/tests/voice/test_workflow.py +++ b/tests/voice/test_workflow.py @@ -2,6 +2,7 @@ import json from collections.abc import AsyncIterator +from typing import Any import pytest from inline_snapshot import snapshot @@ -53,6 +54,7 @@ async def get_response( tracing: ModelTracing, *, previous_response_id: str | None, + prompt: Any | None, ) -> ModelResponse: raise NotImplementedError("Not implemented") @@ -67,6 +69,7 @@ async def stream_response( tracing: ModelTracing, *, previous_response_id: str | None, + prompt: Any | None, ) -> AsyncIterator[TResponseStreamEvent]: output = self.get_next_output() for item in output: diff --git a/uv.lock b/uv.lock index 56f56f413..cd26d45f6 100644 --- a/uv.lock +++ b/uv.lock @@ -1461,7 +1461,7 @@ wheels = [ [[package]] name = "openai" -version = "1.81.0" +version = "1.87.0" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "anyio" }, @@ -1473,9 +1473,9 @@ dependencies = [ { name = "tqdm" }, { name = "typing-extensions" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/1c/89/a1e4f3fa7ca4f7fec90dbf47d93b7cd5ff65924926733af15044e302a192/openai-1.81.0.tar.gz", hash = "sha256:349567a8607e0bcffd28e02f96b5c2397d0d25d06732d90ab3ecbf97abf030f9", size = 456861 } +sdist = { url = "https://files.pythonhosted.org/packages/47/ed/2b3f6c7e950784e9442115ab8ebeff514d543fb33da10607b39364645a75/openai-1.87.0.tar.gz", hash = "sha256:5c69764171e0db9ef993e7a4d8a01fd8ff1026b66f8bdd005b9461782b6e7dfc", size = 470880 } wheels = [ - { url = "https://files.pythonhosted.org/packages/02/66/bcc7f9bf48e8610a33e3b5c96a5a644dad032d92404ea2a5e8b43ba067e8/openai-1.81.0-py3-none-any.whl", hash = "sha256:1c71572e22b43876c5d7d65ade0b7b516bb527c3d44ae94111267a09125f7bae", size = 717529 }, + { url = "https://files.pythonhosted.org/packages/36/ac/313ded47ce1d5bc2ec02ed5dd5506bf5718678a4655ac20f337231d9aae3/openai-1.87.0-py3-none-any.whl", hash = "sha256:f9bcae02ac4fff6522276eee85d33047335cfb692b863bd8261353ce4ada5692", size = 734368 }, ] [[package]] @@ -1536,7 +1536,7 @@ requires-dist = [ { name = "litellm", marker = "extra == 'litellm'", specifier = ">=1.67.4.post1,<2" }, { name = "mcp", marker = "python_full_version >= '3.10'", specifier = ">=1.9.4,<2" }, { name = "numpy", marker = "python_full_version >= '3.10' and extra == 'voice'", specifier = ">=2.2.0,<3" }, - { name = "openai", specifier = ">=1.81.0" }, + { name = "openai", specifier = ">=1.87.0" }, { name = "pydantic", specifier = ">=2.10,<3" }, { name = "requests", specifier = ">=2.0,<3" }, { name = "types-requests", specifier = ">=2.0,<3" }, From 7919653adbd99e5299db4d2560be7f995a80c741 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 16 Jun 2025 15:41:35 -0400 Subject: [PATCH 132/337] prompts --- examples/basic/prompt_template.py | 79 +++++++++++++++ pyproject.toml | 2 +- src/agents/__init__.py | 4 + src/agents/agent.py | 14 +++ src/agents/extensions/models/litellm_model.py | 8 +- src/agents/models/interface.py | 6 ++ src/agents/models/openai_chatcompletions.py | 9 +- src/agents/models/openai_responses.py | 9 ++ src/agents/prompts.py | 76 +++++++++++++++ src/agents/run.py | 17 +++- src/agents/tool_context.py | 1 + tests/fake_model.py | 2 + .../test_litellm_chatcompletions_stream.py | 3 + tests/test_agent_prompt.py | 97 +++++++++++++++++++ tests/test_openai_chatcompletions.py | 4 + tests/test_openai_chatcompletions_stream.py | 3 + tests/test_responses_tracing.py | 6 ++ tests/voice/test_workflow.py | 3 + uv.lock | 8 +- 19 files changed, 342 insertions(+), 9 deletions(-) create mode 100644 examples/basic/prompt_template.py create mode 100644 src/agents/prompts.py create mode 100644 tests/test_agent_prompt.py diff --git a/examples/basic/prompt_template.py b/examples/basic/prompt_template.py new file mode 100644 index 000000000..59251935e --- /dev/null +++ b/examples/basic/prompt_template.py @@ -0,0 +1,79 @@ +import argparse +import asyncio +import random + +from agents import Agent, GenerateDynamicPromptData, Runner + +""" +NOTE: This example will not work out of the box, because the default prompt ID will not be available +in your project. + +To use it, please: +1. Go to https://platform.openai.com/playground/prompts +2. Create a new prompt variable, `poem_style`. +3. Create a system prompt with the content: +``` +Write a poem in {{poem_style}} +``` +4. Run the example with the `--prompt-id` flag. +""" + +DEFAULT_PROMPT_ID = "pmpt_6850729e8ba481939fd439e058c69ee004afaa19c520b78b" + + +class DynamicContext: + def __init__(self, prompt_id: str): + self.prompt_id = prompt_id + self.poem_style = random.choice(["limerick", "haiku", "ballad"]) + print(f"[debug] DynamicContext initialized with poem_style: {self.poem_style}") + + +async def _get_dynamic_prompt(data: GenerateDynamicPromptData): + ctx: DynamicContext = data.context.context + return { + "id": ctx.prompt_id, + "version": "1", + "variables": { + "poem_style": ctx.poem_style, + }, + } + + +async def dynamic_prompt(prompt_id: str): + context = DynamicContext(prompt_id) + + agent = Agent( + name="Assistant", + prompt=_get_dynamic_prompt, + ) + + result = await Runner.run(agent, "Tell me about recursion in programming.", context=context) + print(result.final_output) + + +async def static_prompt(prompt_id: str): + agent = Agent( + name="Assistant", + prompt={ + "id": prompt_id, + "version": "1", + "variables": { + "poem_style": "limerick", + }, + }, + ) + + result = await Runner.run(agent, "Tell me about recursion in programming.") + print(result.final_output) + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument("--dynamic", action="store_true") + parser.add_argument("--prompt-id", type=str, default=DEFAULT_PROMPT_ID) + args = parser.parse_args() + + if args.dynamic: + asyncio.run(dynamic_prompt(args.prompt_id)) + else: + asyncio.run(static_prompt(args.prompt_id)) diff --git a/pyproject.toml b/pyproject.toml index a674dac96..e6d1d7746 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -7,7 +7,7 @@ requires-python = ">=3.9" license = "MIT" authors = [{ name = "OpenAI", email = "support@openai.com" }] dependencies = [ - "openai>=1.81.0", + "openai>=1.87.0", "pydantic>=2.10, <3", "griffe>=1.5.6, <2", "typing-extensions>=4.12.2, <5", diff --git a/src/agents/__init__.py b/src/agents/__init__.py index ee2f2aa16..a52347605 100644 --- a/src/agents/__init__.py +++ b/src/agents/__init__.py @@ -45,6 +45,7 @@ from .models.openai_chatcompletions import OpenAIChatCompletionsModel from .models.openai_provider import OpenAIProvider from .models.openai_responses import OpenAIResponsesModel +from .prompts import DynamicPromptFunction, GenerateDynamicPromptData, Prompt from .repl import run_demo_loop from .result import RunResult, RunResultStreaming from .run import RunConfig, Runner @@ -178,6 +179,9 @@ def enable_verbose_stdout_logging(): "AgentsException", "InputGuardrailTripwireTriggered", "OutputGuardrailTripwireTriggered", + "DynamicPromptFunction", + "GenerateDynamicPromptData", + "Prompt", "MaxTurnsExceeded", "ModelBehaviorError", "UserError", diff --git a/src/agents/agent.py b/src/agents/agent.py index 6adccedd5..61a9abe0c 100644 --- a/src/agents/agent.py +++ b/src/agents/agent.py @@ -7,6 +7,7 @@ from dataclasses import dataclass, field from typing import TYPE_CHECKING, Any, Callable, Generic, Literal, cast +from openai.types.responses.response_prompt_param import ResponsePromptParam from typing_extensions import NotRequired, TypeAlias, TypedDict from .agent_output import AgentOutputSchemaBase @@ -17,6 +18,7 @@ from .mcp import MCPUtil from .model_settings import ModelSettings from .models.interface import Model +from .prompts import DynamicPromptFunction, Prompt, PromptUtil from .run_context import RunContextWrapper, TContext from .tool import FunctionTool, FunctionToolResult, Tool, function_tool from .util import _transforms @@ -95,6 +97,12 @@ class Agent(Generic[TContext]): return a string. """ + prompt: Prompt | DynamicPromptFunction | None = None + """A prompt object (or a function that returns a Prompt). Prompts allow you to dynamically + configure the instructions, tools and other config for an agent outside of your code. Only + usable with OpenAI models, using the Responses API. + """ + handoff_description: str | None = None """A description of the agent. This is used when the agent is used as a handoff, so that an LLM knows what it does and when to invoke it. @@ -242,6 +250,12 @@ async def get_system_prompt(self, run_context: RunContextWrapper[TContext]) -> s return None + async def get_prompt( + self, run_context: RunContextWrapper[TContext] + ) -> ResponsePromptParam | None: + """Get the prompt for the agent.""" + return await PromptUtil.to_model_input(self.prompt, run_context, self) + async def get_mcp_tools(self) -> list[Tool]: """Fetches the available tools from the MCP servers.""" convert_schemas_to_strict = self.mcp_config.get("convert_schemas_to_strict", False) diff --git a/src/agents/extensions/models/litellm_model.py b/src/agents/extensions/models/litellm_model.py index 3ded80be2..c58a52dae 100644 --- a/src/agents/extensions/models/litellm_model.py +++ b/src/agents/extensions/models/litellm_model.py @@ -71,6 +71,7 @@ async def get_response( handoffs: list[Handoff], tracing: ModelTracing, previous_response_id: str | None, + prompt: Any | None = None, ) -> ModelResponse: with generation_span( model=str(self.model), @@ -88,6 +89,7 @@ async def get_response( span_generation, tracing, stream=False, + prompt=prompt, ) assert isinstance(response.choices[0], litellm.types.utils.Choices) @@ -153,8 +155,8 @@ async def stream_response( output_schema: AgentOutputSchemaBase | None, handoffs: list[Handoff], tracing: ModelTracing, - *, previous_response_id: str | None, + prompt: Any | None = None, ) -> AsyncIterator[TResponseStreamEvent]: with generation_span( model=str(self.model), @@ -172,6 +174,7 @@ async def stream_response( span_generation, tracing, stream=True, + prompt=prompt, ) final_response: Response | None = None @@ -202,6 +205,7 @@ async def _fetch_response( span: Span[GenerationSpanData], tracing: ModelTracing, stream: Literal[True], + prompt: Any | None = None, ) -> tuple[Response, AsyncStream[ChatCompletionChunk]]: ... @overload @@ -216,6 +220,7 @@ async def _fetch_response( span: Span[GenerationSpanData], tracing: ModelTracing, stream: Literal[False], + prompt: Any | None = None, ) -> litellm.types.utils.ModelResponse: ... async def _fetch_response( @@ -229,6 +234,7 @@ async def _fetch_response( span: Span[GenerationSpanData], tracing: ModelTracing, stream: bool = False, + prompt: Any | None = None, ) -> litellm.types.utils.ModelResponse | tuple[Response, AsyncStream[ChatCompletionChunk]]: converted_messages = Converter.items_to_messages(input) diff --git a/src/agents/models/interface.py b/src/agents/models/interface.py index 3a79e5640..5a185806c 100644 --- a/src/agents/models/interface.py +++ b/src/agents/models/interface.py @@ -5,6 +5,8 @@ from collections.abc import AsyncIterator from typing import TYPE_CHECKING +from openai.types.responses.response_prompt_param import ResponsePromptParam + from ..agent_output import AgentOutputSchemaBase from ..handoffs import Handoff from ..items import ModelResponse, TResponseInputItem, TResponseStreamEvent @@ -46,6 +48,7 @@ async def get_response( tracing: ModelTracing, *, previous_response_id: str | None, + prompt: ResponsePromptParam | None, ) -> ModelResponse: """Get a response from the model. @@ -59,6 +62,7 @@ async def get_response( tracing: Tracing configuration. previous_response_id: the ID of the previous response. Generally not used by the model, except for the OpenAI Responses API. + prompt: The prompt config to use for the model. Returns: The full model response. @@ -77,6 +81,7 @@ def stream_response( tracing: ModelTracing, *, previous_response_id: str | None, + prompt: ResponsePromptParam | None, ) -> AsyncIterator[TResponseStreamEvent]: """Stream a response from the model. @@ -90,6 +95,7 @@ def stream_response( tracing: Tracing configuration. previous_response_id: the ID of the previous response. Generally not used by the model, except for the OpenAI Responses API. + prompt: The prompt config to use for the model. Returns: An iterator of response stream events, in OpenAI Responses format. diff --git a/src/agents/models/openai_chatcompletions.py b/src/agents/models/openai_chatcompletions.py index 4dad976bd..08803d8c0 100644 --- a/src/agents/models/openai_chatcompletions.py +++ b/src/agents/models/openai_chatcompletions.py @@ -9,6 +9,7 @@ from openai.types import ChatModel from openai.types.chat import ChatCompletion, ChatCompletionChunk from openai.types.responses import Response +from openai.types.responses.response_prompt_param import ResponsePromptParam from openai.types.responses.response_usage import InputTokensDetails, OutputTokensDetails from .. import _debug @@ -53,6 +54,7 @@ async def get_response( handoffs: list[Handoff], tracing: ModelTracing, previous_response_id: str | None, + prompt: ResponsePromptParam | None = None, ) -> ModelResponse: with generation_span( model=str(self.model), @@ -69,6 +71,7 @@ async def get_response( span_generation, tracing, stream=False, + prompt=prompt, ) first_choice = response.choices[0] @@ -136,8 +139,8 @@ async def stream_response( output_schema: AgentOutputSchemaBase | None, handoffs: list[Handoff], tracing: ModelTracing, - *, previous_response_id: str | None, + prompt: ResponsePromptParam | None = None, ) -> AsyncIterator[TResponseStreamEvent]: """ Yields a partial message as it is generated, as well as the usage information. @@ -157,6 +160,7 @@ async def stream_response( span_generation, tracing, stream=True, + prompt=prompt, ) final_response: Response | None = None @@ -187,6 +191,7 @@ async def _fetch_response( span: Span[GenerationSpanData], tracing: ModelTracing, stream: Literal[True], + prompt: ResponsePromptParam | None = None, ) -> tuple[Response, AsyncStream[ChatCompletionChunk]]: ... @overload @@ -201,6 +206,7 @@ async def _fetch_response( span: Span[GenerationSpanData], tracing: ModelTracing, stream: Literal[False], + prompt: ResponsePromptParam | None = None, ) -> ChatCompletion: ... async def _fetch_response( @@ -214,6 +220,7 @@ async def _fetch_response( span: Span[GenerationSpanData], tracing: ModelTracing, stream: bool = False, + prompt: ResponsePromptParam | None = None, ) -> ChatCompletion | tuple[Response, AsyncStream[ChatCompletionChunk]]: converted_messages = Converter.items_to_messages(input) diff --git a/src/agents/models/openai_responses.py b/src/agents/models/openai_responses.py index fdc391c6a..961f690b0 100644 --- a/src/agents/models/openai_responses.py +++ b/src/agents/models/openai_responses.py @@ -17,6 +17,7 @@ WebSearchToolParam, response_create_params, ) +from openai.types.responses.response_prompt_param import ResponsePromptParam from .. import _debug from ..agent_output import AgentOutputSchemaBase @@ -74,6 +75,7 @@ async def get_response( handoffs: list[Handoff], tracing: ModelTracing, previous_response_id: str | None, + prompt: ResponsePromptParam | None = None, ) -> ModelResponse: with response_span(disabled=tracing.is_disabled()) as span_response: try: @@ -86,6 +88,7 @@ async def get_response( handoffs, previous_response_id, stream=False, + prompt=prompt, ) if _debug.DONT_LOG_MODEL_DATA: @@ -141,6 +144,7 @@ async def stream_response( handoffs: list[Handoff], tracing: ModelTracing, previous_response_id: str | None, + prompt: ResponsePromptParam | None = None, ) -> AsyncIterator[ResponseStreamEvent]: """ Yields a partial message as it is generated, as well as the usage information. @@ -156,6 +160,7 @@ async def stream_response( handoffs, previous_response_id, stream=True, + prompt=prompt, ) final_response: Response | None = None @@ -192,6 +197,7 @@ async def _fetch_response( handoffs: list[Handoff], previous_response_id: str | None, stream: Literal[True], + prompt: ResponsePromptParam | None = None, ) -> AsyncStream[ResponseStreamEvent]: ... @overload @@ -205,6 +211,7 @@ async def _fetch_response( handoffs: list[Handoff], previous_response_id: str | None, stream: Literal[False], + prompt: ResponsePromptParam | None = None, ) -> Response: ... async def _fetch_response( @@ -217,6 +224,7 @@ async def _fetch_response( handoffs: list[Handoff], previous_response_id: str | None, stream: Literal[True] | Literal[False] = False, + prompt: ResponsePromptParam | None = None, ) -> Response | AsyncStream[ResponseStreamEvent]: list_input = ItemHelpers.input_to_new_input_list(input) @@ -252,6 +260,7 @@ async def _fetch_response( input=list_input, include=converted_tools.includes, tools=converted_tools.tools, + prompt=self._non_null_or_not_given(prompt), temperature=self._non_null_or_not_given(model_settings.temperature), top_p=self._non_null_or_not_given(model_settings.top_p), truncation=self._non_null_or_not_given(model_settings.truncation), diff --git a/src/agents/prompts.py b/src/agents/prompts.py new file mode 100644 index 000000000..aa627d033 --- /dev/null +++ b/src/agents/prompts.py @@ -0,0 +1,76 @@ +from __future__ import annotations + +import inspect +from dataclasses import dataclass +from typing import TYPE_CHECKING, Any, Callable + +from openai.types.responses.response_prompt_param import ( + ResponsePromptParam, + Variables as ResponsesPromptVariables, +) +from typing_extensions import NotRequired, TypedDict + +from agents.util._types import MaybeAwaitable + +from .exceptions import UserError +from .run_context import RunContextWrapper + +if TYPE_CHECKING: + from .agent import Agent + + +class Prompt(TypedDict): + """Prompt configuration to use for interacting with an OpenAI model.""" + + id: str + """The unique ID of the prompt.""" + + version: NotRequired[str] + """Optional version of the prompt.""" + + variables: NotRequired[dict[str, ResponsesPromptVariables]] + """Optional variables to substitute into the prompt.""" + + +@dataclass +class GenerateDynamicPromptData: + """Inputs to a function that allows you to dynamically generate a prompt.""" + + context: RunContextWrapper[Any] + """The run context.""" + + agent: Agent[Any] + """The agent for which the prompt is being generated.""" + + +DynamicPromptFunction = Callable[[GenerateDynamicPromptData], MaybeAwaitable[Prompt]] +"""A function that dynamically generates a prompt.""" + + +class PromptUtil: + @staticmethod + async def to_model_input( + prompt: Prompt | DynamicPromptFunction | None, + context: RunContextWrapper[Any], + agent: Agent[Any], + ) -> ResponsePromptParam | None: + if prompt is None: + return None + + resolved_prompt: Prompt + if isinstance(prompt, dict): + resolved_prompt = prompt + else: + func_result = prompt(GenerateDynamicPromptData(context=context, agent=agent)) + if inspect.isawaitable(func_result): + resolved_prompt = await func_result + else: + resolved_prompt = func_result + if not isinstance(resolved_prompt, dict): + raise UserError("Dynamic prompt function must return a Prompt") + + return { + "id": resolved_prompt["id"], + "version": resolved_prompt.get("version"), + "variables": resolved_prompt.get("variables"), + } diff --git a/src/agents/run.py b/src/agents/run.py index f375a0b89..10148a323 100644 --- a/src/agents/run.py +++ b/src/agents/run.py @@ -6,6 +6,9 @@ from typing import Any, cast from openai.types.responses import ResponseCompletedEvent +from openai.types.responses.response_prompt_param import ( + ResponsePromptParam, +) from ._run_impl import ( AgentToolUseTracker, @@ -682,7 +685,10 @@ async def _run_single_turn_streamed( streamed_result.current_agent = agent streamed_result._current_agent_output_schema = output_schema - system_prompt = await agent.get_system_prompt(context_wrapper) + system_prompt, prompt_config = await asyncio.gather( + agent.get_system_prompt(context_wrapper), + agent.get_prompt(context_wrapper), + ) handoffs = cls._get_handoffs(agent) model = cls._get_model(agent, run_config) @@ -706,6 +712,7 @@ async def _run_single_turn_streamed( run_config.tracing_disabled, run_config.trace_include_sensitive_data ), previous_response_id=previous_response_id, + prompt=prompt_config, ): if isinstance(event, ResponseCompletedEvent): usage = ( @@ -777,7 +784,10 @@ async def _run_single_turn( ), ) - system_prompt = await agent.get_system_prompt(context_wrapper) + system_prompt, prompt_config = await asyncio.gather( + agent.get_system_prompt(context_wrapper), + agent.get_prompt(context_wrapper), + ) output_schema = cls._get_output_schema(agent) handoffs = cls._get_handoffs(agent) @@ -795,6 +805,7 @@ async def _run_single_turn( run_config, tool_use_tracker, previous_response_id, + prompt_config, ) return await cls._get_single_step_result_from_response( @@ -938,6 +949,7 @@ async def _get_new_response( run_config: RunConfig, tool_use_tracker: AgentToolUseTracker, previous_response_id: str | None, + prompt_config: ResponsePromptParam | None, ) -> ModelResponse: model = cls._get_model(agent, run_config) model_settings = agent.model_settings.resolve(run_config.model_settings) @@ -954,6 +966,7 @@ async def _get_new_response( run_config.tracing_disabled, run_config.trace_include_sensitive_data ), previous_response_id=previous_response_id, + prompt=prompt_config, ) context_wrapper.usage.add(new_response.usage) diff --git a/src/agents/tool_context.py b/src/agents/tool_context.py index 17b595f06..c4329b8af 100644 --- a/src/agents/tool_context.py +++ b/src/agents/tool_context.py @@ -7,6 +7,7 @@ def _assert_must_pass_tool_call_id() -> str: raise ValueError("tool_call_id must be passed to ToolContext") + @dataclass class ToolContext(RunContextWrapper[TContext]): """The context of a tool call.""" diff --git a/tests/fake_model.py b/tests/fake_model.py index 9f0c83a2f..6c1377e6d 100644 --- a/tests/fake_model.py +++ b/tests/fake_model.py @@ -61,6 +61,7 @@ async def get_response( tracing: ModelTracing, *, previous_response_id: str | None, + prompt: Any | None, ) -> ModelResponse: self.last_turn_args = { "system_instructions": system_instructions, @@ -103,6 +104,7 @@ async def stream_response( tracing: ModelTracing, *, previous_response_id: str | None, + prompt: Any | None, ) -> AsyncIterator[TResponseStreamEvent]: self.last_turn_args = { "system_instructions": system_instructions, diff --git a/tests/models/test_litellm_chatcompletions_stream.py b/tests/models/test_litellm_chatcompletions_stream.py index 06e46b39c..cd342e444 100644 --- a/tests/models/test_litellm_chatcompletions_stream.py +++ b/tests/models/test_litellm_chatcompletions_stream.py @@ -90,6 +90,7 @@ async def patched_fetch_response(self, *args, **kwargs): handoffs=[], tracing=ModelTracing.DISABLED, previous_response_id=None, + prompt=None, ): output_events.append(event) # We expect a response.created, then a response.output_item.added, content part added, @@ -182,6 +183,7 @@ async def patched_fetch_response(self, *args, **kwargs): handoffs=[], tracing=ModelTracing.DISABLED, previous_response_id=None, + prompt=None, ): output_events.append(event) # Expect sequence similar to text: created, output_item.added, content part added, @@ -270,6 +272,7 @@ async def patched_fetch_response(self, *args, **kwargs): handoffs=[], tracing=ModelTracing.DISABLED, previous_response_id=None, + prompt=None, ): output_events.append(event) # Sequence should be: response.created, then after loop we expect function call-related events: diff --git a/tests/test_agent_prompt.py b/tests/test_agent_prompt.py new file mode 100644 index 000000000..010717d66 --- /dev/null +++ b/tests/test_agent_prompt.py @@ -0,0 +1,97 @@ +import pytest + +from agents import Agent, Prompt, RunContextWrapper, Runner + +from .fake_model import FakeModel +from .test_responses import get_text_message + + +class PromptCaptureFakeModel(FakeModel): + """Subclass of FakeModel that records the prompt passed to the model.""" + + def __init__(self): + super().__init__() + self.last_prompt = None + + async def get_response( + self, + system_instructions, + input, + model_settings, + tools, + output_schema, + handoffs, + tracing, + *, + previous_response_id, + prompt, + ): + # Record the prompt that the agent resolved and passed in. + self.last_prompt = prompt + return await super().get_response( + system_instructions, + input, + model_settings, + tools, + output_schema, + handoffs, + tracing, + previous_response_id=previous_response_id, + prompt=prompt, + ) + + +@pytest.mark.asyncio +async def test_static_prompt_is_resolved_correctly(): + static_prompt: Prompt = { + "id": "my_prompt", + "version": "1", + "variables": {"some_var": "some_value"}, + } + + agent = Agent(name="test", prompt=static_prompt) + context_wrapper = RunContextWrapper(context=None) + + resolved = await agent.get_prompt(context_wrapper) + + assert resolved == { + "id": "my_prompt", + "version": "1", + "variables": {"some_var": "some_value"}, + } + + +@pytest.mark.asyncio +async def test_dynamic_prompt_is_resolved_correctly(): + dynamic_prompt_value: Prompt = {"id": "dyn_prompt", "version": "2"} + + def dynamic_prompt_fn(_data): + return dynamic_prompt_value + + agent = Agent(name="test", prompt=dynamic_prompt_fn) + context_wrapper = RunContextWrapper(context=None) + + resolved = await agent.get_prompt(context_wrapper) + + assert resolved == {"id": "dyn_prompt", "version": "2", "variables": None} + + +@pytest.mark.asyncio +async def test_prompt_is_passed_to_model(): + static_prompt: Prompt = {"id": "model_prompt"} + + model = PromptCaptureFakeModel() + agent = Agent(name="test", model=model, prompt=static_prompt) + + # Ensure the model returns a simple message so the run completes in one turn. + model.set_next_output([get_text_message("done")]) + + await Runner.run(agent, input="hello") + + # The model should have received the prompt resolved by the agent. + expected_prompt = { + "id": "model_prompt", + "version": None, + "variables": None, + } + assert model.last_prompt == expected_prompt diff --git a/tests/test_openai_chatcompletions.py b/tests/test_openai_chatcompletions.py index 9a85dcb7b..a6909b195 100644 --- a/tests/test_openai_chatcompletions.py +++ b/tests/test_openai_chatcompletions.py @@ -77,6 +77,7 @@ async def patched_fetch_response(self, *args, **kwargs): handoffs=[], tracing=ModelTracing.DISABLED, previous_response_id=None, + prompt=None, ) # Should have produced exactly one output message with one text part assert isinstance(resp, ModelResponse) @@ -128,6 +129,7 @@ async def patched_fetch_response(self, *args, **kwargs): handoffs=[], tracing=ModelTracing.DISABLED, previous_response_id=None, + prompt=None, ) assert len(resp.output) == 1 assert isinstance(resp.output[0], ResponseOutputMessage) @@ -180,6 +182,7 @@ async def patched_fetch_response(self, *args, **kwargs): handoffs=[], tracing=ModelTracing.DISABLED, previous_response_id=None, + prompt=None, ) # Expect a message item followed by a function tool call item. assert len(resp.output) == 2 @@ -221,6 +224,7 @@ async def patched_fetch_response(self, *args, **kwargs): handoffs=[], tracing=ModelTracing.DISABLED, previous_response_id=None, + prompt=None, ) assert resp.output == [] diff --git a/tests/test_openai_chatcompletions_stream.py b/tests/test_openai_chatcompletions_stream.py index 5c8bb9e3a..49e7bc2f4 100644 --- a/tests/test_openai_chatcompletions_stream.py +++ b/tests/test_openai_chatcompletions_stream.py @@ -90,6 +90,7 @@ async def patched_fetch_response(self, *args, **kwargs): handoffs=[], tracing=ModelTracing.DISABLED, previous_response_id=None, + prompt=None, ): output_events.append(event) # We expect a response.created, then a response.output_item.added, content part added, @@ -182,6 +183,7 @@ async def patched_fetch_response(self, *args, **kwargs): handoffs=[], tracing=ModelTracing.DISABLED, previous_response_id=None, + prompt=None, ): output_events.append(event) # Expect sequence similar to text: created, output_item.added, content part added, @@ -270,6 +272,7 @@ async def patched_fetch_response(self, *args, **kwargs): handoffs=[], tracing=ModelTracing.DISABLED, previous_response_id=None, + prompt=None, ): output_events.append(event) # Sequence should be: response.created, then after loop we expect function call-related events: diff --git a/tests/test_responses_tracing.py b/tests/test_responses_tracing.py index db24fe496..fe63e8ecb 100644 --- a/tests/test_responses_tracing.py +++ b/tests/test_responses_tracing.py @@ -71,6 +71,7 @@ async def dummy_fetch_response( handoffs, prev_response_id, stream, + prompt, ): return DummyResponse() @@ -115,6 +116,7 @@ async def dummy_fetch_response( handoffs, prev_response_id, stream, + prompt, ): return DummyResponse() @@ -157,6 +159,7 @@ async def dummy_fetch_response( handoffs, prev_response_id, stream, + prompt, ): return DummyResponse() @@ -196,6 +199,7 @@ async def dummy_fetch_response( handoffs, prev_response_id, stream, + prompt, ): class DummyStream: async def __aiter__(self): @@ -249,6 +253,7 @@ async def dummy_fetch_response( handoffs, prev_response_id, stream, + prompt, ): class DummyStream: async def __aiter__(self): @@ -301,6 +306,7 @@ async def dummy_fetch_response( handoffs, prev_response_id, stream, + prompt, ): class DummyStream: async def __aiter__(self): diff --git a/tests/voice/test_workflow.py b/tests/voice/test_workflow.py index 035a05d56..cfbb95011 100644 --- a/tests/voice/test_workflow.py +++ b/tests/voice/test_workflow.py @@ -2,6 +2,7 @@ import json from collections.abc import AsyncIterator +from typing import Any import pytest from inline_snapshot import snapshot @@ -53,6 +54,7 @@ async def get_response( tracing: ModelTracing, *, previous_response_id: str | None, + prompt: Any | None, ) -> ModelResponse: raise NotImplementedError("Not implemented") @@ -67,6 +69,7 @@ async def stream_response( tracing: ModelTracing, *, previous_response_id: str | None, + prompt: Any | None, ) -> AsyncIterator[TResponseStreamEvent]: output = self.get_next_output() for item in output: diff --git a/uv.lock b/uv.lock index 56f56f413..cd26d45f6 100644 --- a/uv.lock +++ b/uv.lock @@ -1461,7 +1461,7 @@ wheels = [ [[package]] name = "openai" -version = "1.81.0" +version = "1.87.0" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "anyio" }, @@ -1473,9 +1473,9 @@ dependencies = [ { name = "tqdm" }, { name = "typing-extensions" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/1c/89/a1e4f3fa7ca4f7fec90dbf47d93b7cd5ff65924926733af15044e302a192/openai-1.81.0.tar.gz", hash = "sha256:349567a8607e0bcffd28e02f96b5c2397d0d25d06732d90ab3ecbf97abf030f9", size = 456861 } +sdist = { url = "https://files.pythonhosted.org/packages/47/ed/2b3f6c7e950784e9442115ab8ebeff514d543fb33da10607b39364645a75/openai-1.87.0.tar.gz", hash = "sha256:5c69764171e0db9ef993e7a4d8a01fd8ff1026b66f8bdd005b9461782b6e7dfc", size = 470880 } wheels = [ - { url = "https://files.pythonhosted.org/packages/02/66/bcc7f9bf48e8610a33e3b5c96a5a644dad032d92404ea2a5e8b43ba067e8/openai-1.81.0-py3-none-any.whl", hash = "sha256:1c71572e22b43876c5d7d65ade0b7b516bb527c3d44ae94111267a09125f7bae", size = 717529 }, + { url = "https://files.pythonhosted.org/packages/36/ac/313ded47ce1d5bc2ec02ed5dd5506bf5718678a4655ac20f337231d9aae3/openai-1.87.0-py3-none-any.whl", hash = "sha256:f9bcae02ac4fff6522276eee85d33047335cfb692b863bd8261353ce4ada5692", size = 734368 }, ] [[package]] @@ -1536,7 +1536,7 @@ requires-dist = [ { name = "litellm", marker = "extra == 'litellm'", specifier = ">=1.67.4.post1,<2" }, { name = "mcp", marker = "python_full_version >= '3.10'", specifier = ">=1.9.4,<2" }, { name = "numpy", marker = "python_full_version >= '3.10' and extra == 'voice'", specifier = ">=2.2.0,<3" }, - { name = "openai", specifier = ">=1.81.0" }, + { name = "openai", specifier = ">=1.87.0" }, { name = "pydantic", specifier = ">=2.10,<3" }, { name = "requests", specifier = ">=2.0,<3" }, { name = "types-requests", specifier = ">=2.0,<3" }, From 72408df39c3f59419560131b3cc98899486f3bdf Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 16 Jun 2025 15:48:06 -0400 Subject: [PATCH 133/337] v0.0.18 --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index e6d1d7746..6cdf337ee 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "openai-agents" -version = "0.0.17" +version = "0.0.18" description = "OpenAI Agents SDK" readme = "README.md" requires-python = ">=3.9" From 18960712956c625d834ed852a2e5b55ec505d0ac Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 23 Jun 2025 18:09:31 -0400 Subject: [PATCH 134/337] Add is_enabled to handoffs --- src/agents/handoffs.py | 14 +++++ src/agents/run.py | 31 ++++++++-- tests/test_agent_config.py | 6 +- tests/test_handoff_tool.py | 96 +++++++++++++++++++++++++++++-- tests/test_run_step_execution.py | 2 +- tests/test_run_step_processing.py | 8 +-- 6 files changed, 138 insertions(+), 19 deletions(-) diff --git a/src/agents/handoffs.py b/src/agents/handoffs.py index 76c93a298..cb2752e4f 100644 --- a/src/agents/handoffs.py +++ b/src/agents/handoffs.py @@ -15,6 +15,7 @@ from .strict_schema import ensure_strict_json_schema from .tracing.spans import SpanError from .util import _error_tracing, _json, _transforms +from .util._types import MaybeAwaitable if TYPE_CHECKING: from .agent import Agent @@ -99,6 +100,11 @@ class Handoff(Generic[TContext]): True, as it increases the likelihood of correct JSON input. """ + is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True + """Whether the handoff is enabled. Either a bool or a Callable that takes the run context and + agent and returns whether the handoff is enabled. You can use this to dynamically enable/disable + a handoff based on your context/state.""" + def get_transfer_message(self, agent: Agent[Any]) -> str: return json.dumps({"assistant": agent.name}) @@ -121,6 +127,7 @@ def handoff( tool_name_override: str | None = None, tool_description_override: str | None = None, input_filter: Callable[[HandoffInputData], HandoffInputData] | None = None, + is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, ) -> Handoff[TContext]: ... @@ -133,6 +140,7 @@ def handoff( tool_description_override: str | None = None, tool_name_override: str | None = None, input_filter: Callable[[HandoffInputData], HandoffInputData] | None = None, + is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, ) -> Handoff[TContext]: ... @@ -144,6 +152,7 @@ def handoff( tool_description_override: str | None = None, tool_name_override: str | None = None, input_filter: Callable[[HandoffInputData], HandoffInputData] | None = None, + is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, ) -> Handoff[TContext]: ... @@ -154,6 +163,7 @@ def handoff( on_handoff: OnHandoffWithInput[THandoffInput] | OnHandoffWithoutInput | None = None, input_type: type[THandoffInput] | None = None, input_filter: Callable[[HandoffInputData], HandoffInputData] | None = None, + is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, ) -> Handoff[TContext]: """Create a handoff from an agent. @@ -166,6 +176,9 @@ def handoff( input_type: the type of the input to the handoff. If provided, the input will be validated against this type. Only relevant if you pass a function that takes an input. input_filter: a function that filters the inputs that are passed to the next agent. + is_enabled: Whether the handoff is enabled. Can be a bool or a callable that takes the run + context and agent and returns whether the handoff is enabled. Disabled handoffs are + hidden from the LLM at runtime. """ assert (on_handoff and input_type) or not (on_handoff and input_type), ( "You must provide either both on_handoff and input_type, or neither" @@ -233,4 +246,5 @@ async def _invoke_handoff( on_invoke_handoff=_invoke_handoff, input_filter=input_filter, agent_name=agent.name, + is_enabled=is_enabled, ) diff --git a/src/agents/run.py b/src/agents/run.py index 8a44a0e54..e5f9378ec 100644 --- a/src/agents/run.py +++ b/src/agents/run.py @@ -2,6 +2,7 @@ import asyncio import copy +import inspect from dataclasses import dataclass, field from typing import Any, Generic, cast @@ -361,7 +362,8 @@ async def run( # agent changes, or if the agent loop ends. if current_span is None: handoff_names = [ - h.agent_name for h in AgentRunner._get_handoffs(current_agent) + h.agent_name + for h in await AgentRunner._get_handoffs(current_agent, context_wrapper) ] if output_schema := AgentRunner._get_output_schema(current_agent): output_type_name = output_schema.name() @@ -641,7 +643,10 @@ async def _start_streaming( # Start an agent span if we don't have one. This span is ended if the current # agent changes, or if the agent loop ends. if current_span is None: - handoff_names = [h.agent_name for h in cls._get_handoffs(current_agent)] + handoff_names = [ + h.agent_name + for h in await cls._get_handoffs(current_agent, context_wrapper) + ] if output_schema := cls._get_output_schema(current_agent): output_type_name = output_schema.name() else: @@ -798,7 +803,7 @@ async def _run_single_turn_streamed( agent.get_prompt(context_wrapper), ) - handoffs = cls._get_handoffs(agent) + handoffs = await cls._get_handoffs(agent, context_wrapper) model = cls._get_model(agent, run_config) model_settings = agent.model_settings.resolve(run_config.model_settings) model_settings = RunImpl.maybe_reset_tool_choice(agent, tool_use_tracker, model_settings) @@ -898,7 +903,7 @@ async def _run_single_turn( ) output_schema = cls._get_output_schema(agent) - handoffs = cls._get_handoffs(agent) + handoffs = await cls._get_handoffs(agent, context_wrapper) input = ItemHelpers.input_to_new_input_list(original_input) input.extend([generated_item.to_input_item() for generated_item in generated_items]) @@ -1091,14 +1096,28 @@ def _get_output_schema(cls, agent: Agent[Any]) -> AgentOutputSchemaBase | None: return AgentOutputSchema(agent.output_type) @classmethod - def _get_handoffs(cls, agent: Agent[Any]) -> list[Handoff]: + async def _get_handoffs( + cls, agent: Agent[Any], context_wrapper: RunContextWrapper[Any] + ) -> list[Handoff]: handoffs = [] for handoff_item in agent.handoffs: if isinstance(handoff_item, Handoff): handoffs.append(handoff_item) elif isinstance(handoff_item, Agent): handoffs.append(handoff(handoff_item)) - return handoffs + + async def _check_handoff_enabled(handoff_obj: Handoff) -> bool: + attr = handoff_obj.is_enabled + if isinstance(attr, bool): + return attr + res = attr(context_wrapper, agent) + if inspect.isawaitable(res): + return bool(await res) + return bool(res) + + results = await asyncio.gather(*(_check_handoff_enabled(h) for h in handoffs)) + enabled: list[Handoff] = [h for h, ok in zip(handoffs, results) if ok] + return enabled @classmethod async def _get_all_tools( diff --git a/tests/test_agent_config.py b/tests/test_agent_config.py index f9423619d..a985fd60d 100644 --- a/tests/test_agent_config.py +++ b/tests/test_agent_config.py @@ -43,7 +43,7 @@ async def test_handoff_with_agents(): handoffs=[agent_1, agent_2], ) - handoffs = AgentRunner._get_handoffs(agent_3) + handoffs = await AgentRunner._get_handoffs(agent_3, RunContextWrapper(None)) assert len(handoffs) == 2 assert handoffs[0].agent_name == "agent_1" @@ -78,7 +78,7 @@ async def test_handoff_with_handoff_obj(): ], ) - handoffs = AgentRunner._get_handoffs(agent_3) + handoffs = await AgentRunner._get_handoffs(agent_3, RunContextWrapper(None)) assert len(handoffs) == 2 assert handoffs[0].agent_name == "agent_1" @@ -112,7 +112,7 @@ async def test_handoff_with_handoff_obj_and_agent(): handoffs=[handoff(agent_1), agent_2], ) - handoffs = AgentRunner._get_handoffs(agent_3) + handoffs = await AgentRunner._get_handoffs(agent_3, RunContextWrapper(None)) assert len(handoffs) == 2 assert handoffs[0].agent_name == "agent_1" diff --git a/tests/test_handoff_tool.py b/tests/test_handoff_tool.py index a1b5b80ba..2e17daf9b 100644 --- a/tests/test_handoff_tool.py +++ b/tests/test_handoff_tool.py @@ -38,16 +38,17 @@ def get_len(data: HandoffInputData) -> int: return input_len + pre_handoff_len + new_items_len -def test_single_handoff_setup(): +@pytest.mark.asyncio +async def test_single_handoff_setup(): agent_1 = Agent(name="test_1") agent_2 = Agent(name="test_2", handoffs=[agent_1]) assert not agent_1.handoffs assert agent_2.handoffs == [agent_1] - assert not AgentRunner._get_handoffs(agent_1) + assert not (await AgentRunner._get_handoffs(agent_1, RunContextWrapper(agent_1))) - handoff_objects = AgentRunner._get_handoffs(agent_2) + handoff_objects = await AgentRunner._get_handoffs(agent_2, RunContextWrapper(agent_2)) assert len(handoff_objects) == 1 obj = handoff_objects[0] assert obj.tool_name == Handoff.default_tool_name(agent_1) @@ -55,7 +56,8 @@ def test_single_handoff_setup(): assert obj.agent_name == agent_1.name -def test_multiple_handoffs_setup(): +@pytest.mark.asyncio +async def test_multiple_handoffs_setup(): agent_1 = Agent(name="test_1") agent_2 = Agent(name="test_2") agent_3 = Agent(name="test_3", handoffs=[agent_1, agent_2]) @@ -76,7 +78,8 @@ def test_multiple_handoffs_setup(): assert handoff_objects[1].agent_name == agent_2.name -def test_custom_handoff_setup(): +@pytest.mark.asyncio +async def test_custom_handoff_setup(): agent_1 = Agent(name="test_1") agent_2 = Agent(name="test_2") agent_3 = Agent( @@ -284,3 +287,86 @@ def test_get_transfer_message_is_valid_json() -> None: obj = handoff(agent) transfer = obj.get_transfer_message(agent) assert json.loads(transfer) == {"assistant": agent.name} + + +def test_handoff_is_enabled_bool(): + """Test that handoff respects is_enabled boolean parameter.""" + agent = Agent(name="test") + + # Test enabled handoff (default) + handoff_enabled = handoff(agent) + assert handoff_enabled.is_enabled is True + + # Test explicitly enabled handoff + handoff_explicit_enabled = handoff(agent, is_enabled=True) + assert handoff_explicit_enabled.is_enabled is True + + # Test disabled handoff + handoff_disabled = handoff(agent, is_enabled=False) + assert handoff_disabled.is_enabled is False + + +@pytest.mark.asyncio +async def test_handoff_is_enabled_callable(): + """Test that handoff respects is_enabled callable parameter.""" + agent = Agent(name="test") + + # Test callable that returns True + def always_enabled(ctx: RunContextWrapper[Any], agent: Agent[Any]) -> bool: + return True + + handoff_callable_enabled = handoff(agent, is_enabled=always_enabled) + assert callable(handoff_callable_enabled.is_enabled) + result = handoff_callable_enabled.is_enabled(RunContextWrapper(agent), agent) + assert result is True + + # Test callable that returns False + def always_disabled(ctx: RunContextWrapper[Any], agent: Agent[Any]) -> bool: + return False + + handoff_callable_disabled = handoff(agent, is_enabled=always_disabled) + assert callable(handoff_callable_disabled.is_enabled) + result = handoff_callable_disabled.is_enabled(RunContextWrapper(agent), agent) + assert result is False + + # Test async callable + async def async_enabled(ctx: RunContextWrapper[Any], agent: Agent[Any]) -> bool: + return True + + handoff_async_enabled = handoff(agent, is_enabled=async_enabled) + assert callable(handoff_async_enabled.is_enabled) + result = await handoff_async_enabled.is_enabled(RunContextWrapper(agent), agent) # type: ignore + assert result is True + + +@pytest.mark.asyncio +async def test_handoff_is_enabled_filtering_integration(): + """Integration test that disabled handoffs are filtered out by the runner.""" + + # Set up agents + agent_1 = Agent(name="agent_1") + agent_2 = Agent(name="agent_2") + agent_3 = Agent(name="agent_3") + + # Create main agent with mixed enabled/disabled handoffs + main_agent = Agent( + name="main_agent", + handoffs=[ + handoff(agent_1, is_enabled=True), # enabled + handoff(agent_2, is_enabled=False), # disabled + handoff(agent_3, is_enabled=lambda ctx, agent: True), # enabled callable + ], + ) + + context_wrapper = RunContextWrapper(main_agent) + + # Get filtered handoffs using the runner's method + filtered_handoffs = await AgentRunner._get_handoffs(main_agent, context_wrapper) + + # Should only have 2 handoffs (agent_1 and agent_3), agent_2 should be filtered out + assert len(filtered_handoffs) == 2 + + # Check that the correct agents are present + agent_names = {h.agent_name for h in filtered_handoffs} + assert agent_names == {"agent_1", "agent_3"} + assert "agent_2" not in agent_names diff --git a/tests/test_run_step_execution.py b/tests/test_run_step_execution.py index 2454a4462..4cf9ae832 100644 --- a/tests/test_run_step_execution.py +++ b/tests/test_run_step_execution.py @@ -325,7 +325,7 @@ async def get_execute_result( run_config: RunConfig | None = None, ) -> SingleStepResult: output_schema = AgentRunner._get_output_schema(agent) - handoffs = AgentRunner._get_handoffs(agent) + handoffs = await AgentRunner._get_handoffs(agent, context_wrapper or RunContextWrapper(None)) processed_response = RunImpl.process_model_response( agent=agent, diff --git a/tests/test_run_step_processing.py b/tests/test_run_step_processing.py index 5a75ec837..6a2904791 100644 --- a/tests/test_run_step_processing.py +++ b/tests/test_run_step_processing.py @@ -186,7 +186,7 @@ async def test_handoffs_parsed_correctly(): agent=agent_3, response=response, output_schema=None, - handoffs=AgentRunner._get_handoffs(agent_3), + handoffs=await AgentRunner._get_handoffs(agent_3, _dummy_ctx()), all_tools=await agent_3.get_all_tools(_dummy_ctx()), ) assert len(result.handoffs) == 1, "Should have a handoff here" @@ -216,7 +216,7 @@ async def test_missing_handoff_fails(): agent=agent_3, response=response, output_schema=None, - handoffs=AgentRunner._get_handoffs(agent_3), + handoffs=await AgentRunner._get_handoffs(agent_3, _dummy_ctx()), all_tools=await agent_3.get_all_tools(_dummy_ctx()), ) @@ -239,7 +239,7 @@ async def test_multiple_handoffs_doesnt_error(): agent=agent_3, response=response, output_schema=None, - handoffs=AgentRunner._get_handoffs(agent_3), + handoffs=await AgentRunner._get_handoffs(agent_3, _dummy_ctx()), all_tools=await agent_3.get_all_tools(_dummy_ctx()), ) assert len(result.handoffs) == 2, "Should have multiple handoffs here" @@ -471,7 +471,7 @@ async def test_tool_and_handoff_parsed_correctly(): agent=agent_3, response=response, output_schema=None, - handoffs=AgentRunner._get_handoffs(agent_3), + handoffs=await AgentRunner._get_handoffs(agent_3, _dummy_ctx()), all_tools=await agent_3.get_all_tools(_dummy_ctx()), ) assert result.functions and len(result.functions) == 1 From a28ad5f08616f1567d97283d87f7d09eff11b327 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 23 Jun 2025 18:09:31 -0400 Subject: [PATCH 135/337] Add is_enabled to handoffs --- src/agents/handoffs.py | 14 +++++ src/agents/run.py | 31 +++++++-- tests/test_agent_config.py | 6 +- tests/test_handoff_tool.py | 100 +++++++++++++++++++++++++++--- tests/test_run_step_execution.py | 2 +- tests/test_run_step_processing.py | 8 +-- 6 files changed, 140 insertions(+), 21 deletions(-) diff --git a/src/agents/handoffs.py b/src/agents/handoffs.py index 76c93a298..cb2752e4f 100644 --- a/src/agents/handoffs.py +++ b/src/agents/handoffs.py @@ -15,6 +15,7 @@ from .strict_schema import ensure_strict_json_schema from .tracing.spans import SpanError from .util import _error_tracing, _json, _transforms +from .util._types import MaybeAwaitable if TYPE_CHECKING: from .agent import Agent @@ -99,6 +100,11 @@ class Handoff(Generic[TContext]): True, as it increases the likelihood of correct JSON input. """ + is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True + """Whether the handoff is enabled. Either a bool or a Callable that takes the run context and + agent and returns whether the handoff is enabled. You can use this to dynamically enable/disable + a handoff based on your context/state.""" + def get_transfer_message(self, agent: Agent[Any]) -> str: return json.dumps({"assistant": agent.name}) @@ -121,6 +127,7 @@ def handoff( tool_name_override: str | None = None, tool_description_override: str | None = None, input_filter: Callable[[HandoffInputData], HandoffInputData] | None = None, + is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, ) -> Handoff[TContext]: ... @@ -133,6 +140,7 @@ def handoff( tool_description_override: str | None = None, tool_name_override: str | None = None, input_filter: Callable[[HandoffInputData], HandoffInputData] | None = None, + is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, ) -> Handoff[TContext]: ... @@ -144,6 +152,7 @@ def handoff( tool_description_override: str | None = None, tool_name_override: str | None = None, input_filter: Callable[[HandoffInputData], HandoffInputData] | None = None, + is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, ) -> Handoff[TContext]: ... @@ -154,6 +163,7 @@ def handoff( on_handoff: OnHandoffWithInput[THandoffInput] | OnHandoffWithoutInput | None = None, input_type: type[THandoffInput] | None = None, input_filter: Callable[[HandoffInputData], HandoffInputData] | None = None, + is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, ) -> Handoff[TContext]: """Create a handoff from an agent. @@ -166,6 +176,9 @@ def handoff( input_type: the type of the input to the handoff. If provided, the input will be validated against this type. Only relevant if you pass a function that takes an input. input_filter: a function that filters the inputs that are passed to the next agent. + is_enabled: Whether the handoff is enabled. Can be a bool or a callable that takes the run + context and agent and returns whether the handoff is enabled. Disabled handoffs are + hidden from the LLM at runtime. """ assert (on_handoff and input_type) or not (on_handoff and input_type), ( "You must provide either both on_handoff and input_type, or neither" @@ -233,4 +246,5 @@ async def _invoke_handoff( on_invoke_handoff=_invoke_handoff, input_filter=input_filter, agent_name=agent.name, + is_enabled=is_enabled, ) diff --git a/src/agents/run.py b/src/agents/run.py index 8a44a0e54..e5f9378ec 100644 --- a/src/agents/run.py +++ b/src/agents/run.py @@ -2,6 +2,7 @@ import asyncio import copy +import inspect from dataclasses import dataclass, field from typing import Any, Generic, cast @@ -361,7 +362,8 @@ async def run( # agent changes, or if the agent loop ends. if current_span is None: handoff_names = [ - h.agent_name for h in AgentRunner._get_handoffs(current_agent) + h.agent_name + for h in await AgentRunner._get_handoffs(current_agent, context_wrapper) ] if output_schema := AgentRunner._get_output_schema(current_agent): output_type_name = output_schema.name() @@ -641,7 +643,10 @@ async def _start_streaming( # Start an agent span if we don't have one. This span is ended if the current # agent changes, or if the agent loop ends. if current_span is None: - handoff_names = [h.agent_name for h in cls._get_handoffs(current_agent)] + handoff_names = [ + h.agent_name + for h in await cls._get_handoffs(current_agent, context_wrapper) + ] if output_schema := cls._get_output_schema(current_agent): output_type_name = output_schema.name() else: @@ -798,7 +803,7 @@ async def _run_single_turn_streamed( agent.get_prompt(context_wrapper), ) - handoffs = cls._get_handoffs(agent) + handoffs = await cls._get_handoffs(agent, context_wrapper) model = cls._get_model(agent, run_config) model_settings = agent.model_settings.resolve(run_config.model_settings) model_settings = RunImpl.maybe_reset_tool_choice(agent, tool_use_tracker, model_settings) @@ -898,7 +903,7 @@ async def _run_single_turn( ) output_schema = cls._get_output_schema(agent) - handoffs = cls._get_handoffs(agent) + handoffs = await cls._get_handoffs(agent, context_wrapper) input = ItemHelpers.input_to_new_input_list(original_input) input.extend([generated_item.to_input_item() for generated_item in generated_items]) @@ -1091,14 +1096,28 @@ def _get_output_schema(cls, agent: Agent[Any]) -> AgentOutputSchemaBase | None: return AgentOutputSchema(agent.output_type) @classmethod - def _get_handoffs(cls, agent: Agent[Any]) -> list[Handoff]: + async def _get_handoffs( + cls, agent: Agent[Any], context_wrapper: RunContextWrapper[Any] + ) -> list[Handoff]: handoffs = [] for handoff_item in agent.handoffs: if isinstance(handoff_item, Handoff): handoffs.append(handoff_item) elif isinstance(handoff_item, Agent): handoffs.append(handoff(handoff_item)) - return handoffs + + async def _check_handoff_enabled(handoff_obj: Handoff) -> bool: + attr = handoff_obj.is_enabled + if isinstance(attr, bool): + return attr + res = attr(context_wrapper, agent) + if inspect.isawaitable(res): + return bool(await res) + return bool(res) + + results = await asyncio.gather(*(_check_handoff_enabled(h) for h in handoffs)) + enabled: list[Handoff] = [h for h, ok in zip(handoffs, results) if ok] + return enabled @classmethod async def _get_all_tools( diff --git a/tests/test_agent_config.py b/tests/test_agent_config.py index f9423619d..a985fd60d 100644 --- a/tests/test_agent_config.py +++ b/tests/test_agent_config.py @@ -43,7 +43,7 @@ async def test_handoff_with_agents(): handoffs=[agent_1, agent_2], ) - handoffs = AgentRunner._get_handoffs(agent_3) + handoffs = await AgentRunner._get_handoffs(agent_3, RunContextWrapper(None)) assert len(handoffs) == 2 assert handoffs[0].agent_name == "agent_1" @@ -78,7 +78,7 @@ async def test_handoff_with_handoff_obj(): ], ) - handoffs = AgentRunner._get_handoffs(agent_3) + handoffs = await AgentRunner._get_handoffs(agent_3, RunContextWrapper(None)) assert len(handoffs) == 2 assert handoffs[0].agent_name == "agent_1" @@ -112,7 +112,7 @@ async def test_handoff_with_handoff_obj_and_agent(): handoffs=[handoff(agent_1), agent_2], ) - handoffs = AgentRunner._get_handoffs(agent_3) + handoffs = await AgentRunner._get_handoffs(agent_3, RunContextWrapper(None)) assert len(handoffs) == 2 assert handoffs[0].agent_name == "agent_1" diff --git a/tests/test_handoff_tool.py b/tests/test_handoff_tool.py index a1b5b80ba..0f7fc2166 100644 --- a/tests/test_handoff_tool.py +++ b/tests/test_handoff_tool.py @@ -38,16 +38,17 @@ def get_len(data: HandoffInputData) -> int: return input_len + pre_handoff_len + new_items_len -def test_single_handoff_setup(): +@pytest.mark.asyncio +async def test_single_handoff_setup(): agent_1 = Agent(name="test_1") agent_2 = Agent(name="test_2", handoffs=[agent_1]) assert not agent_1.handoffs assert agent_2.handoffs == [agent_1] - assert not AgentRunner._get_handoffs(agent_1) + assert not (await AgentRunner._get_handoffs(agent_1, RunContextWrapper(agent_1))) - handoff_objects = AgentRunner._get_handoffs(agent_2) + handoff_objects = await AgentRunner._get_handoffs(agent_2, RunContextWrapper(agent_2)) assert len(handoff_objects) == 1 obj = handoff_objects[0] assert obj.tool_name == Handoff.default_tool_name(agent_1) @@ -55,7 +56,8 @@ def test_single_handoff_setup(): assert obj.agent_name == agent_1.name -def test_multiple_handoffs_setup(): +@pytest.mark.asyncio +async def test_multiple_handoffs_setup(): agent_1 = Agent(name="test_1") agent_2 = Agent(name="test_2") agent_3 = Agent(name="test_3", handoffs=[agent_1, agent_2]) @@ -64,7 +66,7 @@ def test_multiple_handoffs_setup(): assert not agent_1.handoffs assert not agent_2.handoffs - handoff_objects = AgentRunner._get_handoffs(agent_3) + handoff_objects = await AgentRunner._get_handoffs(agent_3, RunContextWrapper(agent_3)) assert len(handoff_objects) == 2 assert handoff_objects[0].tool_name == Handoff.default_tool_name(agent_1) assert handoff_objects[1].tool_name == Handoff.default_tool_name(agent_2) @@ -76,7 +78,8 @@ def test_multiple_handoffs_setup(): assert handoff_objects[1].agent_name == agent_2.name -def test_custom_handoff_setup(): +@pytest.mark.asyncio +async def test_custom_handoff_setup(): agent_1 = Agent(name="test_1") agent_2 = Agent(name="test_2") agent_3 = Agent( @@ -95,7 +98,7 @@ def test_custom_handoff_setup(): assert not agent_1.handoffs assert not agent_2.handoffs - handoff_objects = AgentRunner._get_handoffs(agent_3) + handoff_objects = await AgentRunner._get_handoffs(agent_3, RunContextWrapper(agent_3)) assert len(handoff_objects) == 2 first_handoff = handoff_objects[0] @@ -284,3 +287,86 @@ def test_get_transfer_message_is_valid_json() -> None: obj = handoff(agent) transfer = obj.get_transfer_message(agent) assert json.loads(transfer) == {"assistant": agent.name} + + +def test_handoff_is_enabled_bool(): + """Test that handoff respects is_enabled boolean parameter.""" + agent = Agent(name="test") + + # Test enabled handoff (default) + handoff_enabled = handoff(agent) + assert handoff_enabled.is_enabled is True + + # Test explicitly enabled handoff + handoff_explicit_enabled = handoff(agent, is_enabled=True) + assert handoff_explicit_enabled.is_enabled is True + + # Test disabled handoff + handoff_disabled = handoff(agent, is_enabled=False) + assert handoff_disabled.is_enabled is False + + +@pytest.mark.asyncio +async def test_handoff_is_enabled_callable(): + """Test that handoff respects is_enabled callable parameter.""" + agent = Agent(name="test") + + # Test callable that returns True + def always_enabled(ctx: RunContextWrapper[Any], agent: Agent[Any]) -> bool: + return True + + handoff_callable_enabled = handoff(agent, is_enabled=always_enabled) + assert callable(handoff_callable_enabled.is_enabled) + result = handoff_callable_enabled.is_enabled(RunContextWrapper(agent), agent) + assert result is True + + # Test callable that returns False + def always_disabled(ctx: RunContextWrapper[Any], agent: Agent[Any]) -> bool: + return False + + handoff_callable_disabled = handoff(agent, is_enabled=always_disabled) + assert callable(handoff_callable_disabled.is_enabled) + result = handoff_callable_disabled.is_enabled(RunContextWrapper(agent), agent) + assert result is False + + # Test async callable + async def async_enabled(ctx: RunContextWrapper[Any], agent: Agent[Any]) -> bool: + return True + + handoff_async_enabled = handoff(agent, is_enabled=async_enabled) + assert callable(handoff_async_enabled.is_enabled) + result = await handoff_async_enabled.is_enabled(RunContextWrapper(agent), agent) # type: ignore + assert result is True + + +@pytest.mark.asyncio +async def test_handoff_is_enabled_filtering_integration(): + """Integration test that disabled handoffs are filtered out by the runner.""" + + # Set up agents + agent_1 = Agent(name="agent_1") + agent_2 = Agent(name="agent_2") + agent_3 = Agent(name="agent_3") + + # Create main agent with mixed enabled/disabled handoffs + main_agent = Agent( + name="main_agent", + handoffs=[ + handoff(agent_1, is_enabled=True), # enabled + handoff(agent_2, is_enabled=False), # disabled + handoff(agent_3, is_enabled=lambda ctx, agent: True), # enabled callable + ], + ) + + context_wrapper = RunContextWrapper(main_agent) + + # Get filtered handoffs using the runner's method + filtered_handoffs = await AgentRunner._get_handoffs(main_agent, context_wrapper) + + # Should only have 2 handoffs (agent_1 and agent_3), agent_2 should be filtered out + assert len(filtered_handoffs) == 2 + + # Check that the correct agents are present + agent_names = {h.agent_name for h in filtered_handoffs} + assert agent_names == {"agent_1", "agent_3"} + assert "agent_2" not in agent_names diff --git a/tests/test_run_step_execution.py b/tests/test_run_step_execution.py index 2454a4462..4cf9ae832 100644 --- a/tests/test_run_step_execution.py +++ b/tests/test_run_step_execution.py @@ -325,7 +325,7 @@ async def get_execute_result( run_config: RunConfig | None = None, ) -> SingleStepResult: output_schema = AgentRunner._get_output_schema(agent) - handoffs = AgentRunner._get_handoffs(agent) + handoffs = await AgentRunner._get_handoffs(agent, context_wrapper or RunContextWrapper(None)) processed_response = RunImpl.process_model_response( agent=agent, diff --git a/tests/test_run_step_processing.py b/tests/test_run_step_processing.py index 5a75ec837..6a2904791 100644 --- a/tests/test_run_step_processing.py +++ b/tests/test_run_step_processing.py @@ -186,7 +186,7 @@ async def test_handoffs_parsed_correctly(): agent=agent_3, response=response, output_schema=None, - handoffs=AgentRunner._get_handoffs(agent_3), + handoffs=await AgentRunner._get_handoffs(agent_3, _dummy_ctx()), all_tools=await agent_3.get_all_tools(_dummy_ctx()), ) assert len(result.handoffs) == 1, "Should have a handoff here" @@ -216,7 +216,7 @@ async def test_missing_handoff_fails(): agent=agent_3, response=response, output_schema=None, - handoffs=AgentRunner._get_handoffs(agent_3), + handoffs=await AgentRunner._get_handoffs(agent_3, _dummy_ctx()), all_tools=await agent_3.get_all_tools(_dummy_ctx()), ) @@ -239,7 +239,7 @@ async def test_multiple_handoffs_doesnt_error(): agent=agent_3, response=response, output_schema=None, - handoffs=AgentRunner._get_handoffs(agent_3), + handoffs=await AgentRunner._get_handoffs(agent_3, _dummy_ctx()), all_tools=await agent_3.get_all_tools(_dummy_ctx()), ) assert len(result.handoffs) == 2, "Should have multiple handoffs here" @@ -471,7 +471,7 @@ async def test_tool_and_handoff_parsed_correctly(): agent=agent_3, response=response, output_schema=None, - handoffs=AgentRunner._get_handoffs(agent_3), + handoffs=await AgentRunner._get_handoffs(agent_3, _dummy_ctx()), all_tools=await agent_3.get_all_tools(_dummy_ctx()), ) assert result.functions and len(result.functions) == 1 From 8697f034cc59f1c46695ae2e2f553be329520de9 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 24 Jun 2025 11:21:00 -0400 Subject: [PATCH 136/337] Point CLAUDE.md to AGENTS.md --- AGENTS.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/AGENTS.md b/AGENTS.md index ff37db326..291c31837 100644 --- a/AGENTS.md +++ b/AGENTS.md @@ -35,6 +35,8 @@ Welcome to the OpenAI Agents SDK repository. This file contains the main points Coverage can be generated with `make coverage`. +All python commands should be run via `uv run python ...` + ## Snapshot tests Some tests rely on inline snapshots. See `tests/README.md` for details on updating them: @@ -64,6 +66,6 @@ Commit messages should be concise and written in the imperative mood. Small, foc ## What reviewers look for - Tests covering new behaviour. -- Consistent style: code formatted with `ruff format`, imports sorted, and type hints passing `mypy`. +- Consistent style: code formatted with `uv run ruff format`, imports sorted, and type hints passing `uv run mypy .`. - Clear documentation for any public API changes. - Clean history and a helpful PR description. From 7b78235c32b179f08dc9f7f61f5c0d63e45141e6 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 24 Jun 2025 12:09:57 -0400 Subject: [PATCH 137/337] Ensure that input_guardrails can block tools from running --- src/agents/guardrail.py | 12 ++- src/agents/run.py | 165 +++++++++++++++++++++++++++-- tests/test_agent_runner.py | 194 ++++++++++++++++++++++++++++++++++- tests/test_guardrails.py | 60 +++++++++++ tests/test_tracing_errors.py | 8 +- 5 files changed, 425 insertions(+), 14 deletions(-) diff --git a/src/agents/guardrail.py b/src/agents/guardrail.py index a96f0f7d7..d7c5808ce 100644 --- a/src/agents/guardrail.py +++ b/src/agents/guardrail.py @@ -96,6 +96,12 @@ class InputGuardrail(Generic[TContext]): function's name. """ + block_tool_calls: bool = True + """Whether this guardrail should block tool calls until it completes. If any input guardrail + has this set to True, tool execution will be delayed until all blocking guardrails finish. + Defaults to True for backwards compatibility and safety. + """ + def get_name(self) -> str: if self.name: return self.name @@ -208,6 +214,7 @@ def input_guardrail( def input_guardrail( *, name: str | None = None, + block_tool_calls: bool = True, ) -> Callable[ [_InputGuardrailFuncSync[TContext_co] | _InputGuardrailFuncAsync[TContext_co]], InputGuardrail[TContext_co], @@ -220,6 +227,7 @@ def input_guardrail( | None = None, *, name: str | None = None, + block_tool_calls: bool = True, ) -> ( InputGuardrail[TContext_co] | Callable[ @@ -234,14 +242,14 @@ def input_guardrail( @input_guardrail def my_sync_guardrail(...): ... - @input_guardrail(name="guardrail_name") + @input_guardrail(name="guardrail_name", block_tool_calls=False) async def my_async_guardrail(...): ... """ def decorator( f: _InputGuardrailFuncSync[TContext_co] | _InputGuardrailFuncAsync[TContext_co], ) -> InputGuardrail[TContext_co]: - return InputGuardrail(guardrail_function=f, name=name) + return InputGuardrail(guardrail_function=f, name=name, block_tool_calls=block_tool_calls) if func is not None: # Decorator was used without parentheses diff --git a/src/agents/run.py b/src/agents/run.py index e5f9378ec..b2637470a 100644 --- a/src/agents/run.py +++ b/src/agents/run.py @@ -394,15 +394,22 @@ async def run( ) if current_turn == 1: - input_guardrail_results, turn_result = await asyncio.gather( + # Separate blocking and non-blocking guardrails + all_guardrails = starting_agent.input_guardrails + (run_config.input_guardrails or []) + blocking_guardrails, non_blocking_guardrails = self._separate_blocking_guardrails(all_guardrails) + + # Start all guardrails and model call in parallel + all_guardrails_task = asyncio.create_task( self._run_input_guardrails( starting_agent, - starting_agent.input_guardrails - + (run_config.input_guardrails or []), + all_guardrails, copy.deepcopy(input), context_wrapper, - ), - self._run_single_turn( + ) + ) + + model_response_task = asyncio.create_task( + self._get_model_response_only( agent=current_agent, all_tools=all_tools, original_input=original_input, @@ -413,8 +420,53 @@ async def run( should_run_agent_start_hooks=should_run_agent_start_hooks, tool_use_tracker=tool_use_tracker, previous_response_id=previous_response_id, - ), + ) ) + + # Get model response first (runs in parallel with guardrails) + model_response, output_schema, handoffs = await model_response_task + + # Now handle tool execution based on blocking behavior + if blocking_guardrails: + # Wait for all guardrails to complete before executing tools + input_guardrail_results = await all_guardrails_task + + # Now execute tools after guardrails complete + turn_result = await self._execute_tools_from_model_response( + agent=current_agent, + all_tools=all_tools, + original_input=original_input, + generated_items=generated_items, + new_response=model_response, + output_schema=output_schema, + handoffs=handoffs, + hooks=hooks, + context_wrapper=context_wrapper, + run_config=run_config, + tool_use_tracker=tool_use_tracker, + ) + else: + # No blocking guardrails - execute tools in parallel with remaining guardrails + tool_execution_task = asyncio.create_task( + self._execute_tools_from_model_response( + agent=current_agent, + all_tools=all_tools, + original_input=original_input, + generated_items=generated_items, + new_response=model_response, + output_schema=output_schema, + handoffs=handoffs, + hooks=hooks, + context_wrapper=context_wrapper, + run_config=run_config, + tool_use_tracker=tool_use_tracker, + ) + ) + + input_guardrail_results, turn_result = await asyncio.gather( + all_guardrails_task, + tool_execution_task + ) else: turn_result = await self._run_single_turn( agent=current_agent, @@ -973,6 +1025,107 @@ async def _get_single_step_result_from_response( run_config=run_config, ) + @classmethod + def _separate_blocking_guardrails( + cls, + guardrails: list[InputGuardrail[TContext]], + ) -> tuple[list[InputGuardrail[TContext]], list[InputGuardrail[TContext]]]: + """Separate guardrails into blocking and non-blocking lists.""" + blocking = [] + non_blocking = [] + + for guardrail in guardrails: + if guardrail.block_tool_calls: + blocking.append(guardrail) + else: + non_blocking.append(guardrail) + + return blocking, non_blocking + + @classmethod + async def _get_model_response_only( + cls, + *, + agent: Agent[TContext], + all_tools: list[Tool], + original_input: str | list[TResponseInputItem], + generated_items: list[RunItem], + hooks: RunHooks[TContext], + context_wrapper: RunContextWrapper[TContext], + run_config: RunConfig, + should_run_agent_start_hooks: bool, + tool_use_tracker: AgentToolUseTracker, + previous_response_id: str | None, + ) -> tuple[ModelResponse, AgentOutputSchemaBase | None, list[Handoff]]: + """Get model response without executing tools. Returns model response and processed metadata.""" + # Ensure we run the hooks before anything else + if should_run_agent_start_hooks: + await asyncio.gather( + hooks.on_agent_start(context_wrapper, agent), + ( + agent.hooks.on_start(context_wrapper, agent) + if agent.hooks + else _coro.noop_coroutine() + ), + ) + + system_prompt, prompt_config = await asyncio.gather( + agent.get_system_prompt(context_wrapper), + agent.get_prompt(context_wrapper), + ) + + output_schema = cls._get_output_schema(agent) + handoffs = await cls._get_handoffs(agent, context_wrapper) + input = ItemHelpers.input_to_new_input_list(original_input) + input.extend([generated_item.to_input_item() for generated_item in generated_items]) + + new_response = await cls._get_new_response( + agent, + system_prompt, + input, + output_schema, + all_tools, + handoffs, + context_wrapper, + run_config, + tool_use_tracker, + previous_response_id, + prompt_config, + ) + + return new_response, output_schema, handoffs + + @classmethod + async def _execute_tools_from_model_response( + cls, + *, + agent: Agent[TContext], + all_tools: list[Tool], + original_input: str | list[TResponseInputItem], + generated_items: list[RunItem], + new_response: ModelResponse, + output_schema: AgentOutputSchemaBase | None, + handoffs: list[Handoff], + hooks: RunHooks[TContext], + context_wrapper: RunContextWrapper[TContext], + run_config: RunConfig, + tool_use_tracker: AgentToolUseTracker, + ) -> SingleStepResult: + """Execute tools and side effects from a model response.""" + return await cls._get_single_step_result_from_response( + agent=agent, + original_input=original_input, + pre_step_items=generated_items, + new_response=new_response, + output_schema=output_schema, + all_tools=all_tools, + handoffs=handoffs, + hooks=hooks, + context_wrapper=context_wrapper, + run_config=run_config, + tool_use_tracker=tool_use_tracker, + ) + @classmethod async def _run_input_guardrails( cls, diff --git a/tests/test_agent_runner.py b/tests/test_agent_runner.py index 77eb8019e..d95c6c868 100644 --- a/tests/test_agent_runner.py +++ b/tests/test_agent_runner.py @@ -526,11 +526,13 @@ def guardrail_function( tripwire_triggered=True, ) - agent = Agent( - name="test", input_guardrails=[InputGuardrail(guardrail_function=guardrail_function)] - ) model = FakeModel() model.set_next_output([get_text_message("user_message")]) + agent = Agent( + name="test", + input_guardrails=[InputGuardrail(guardrail_function=guardrail_function)], + model=model + ) with pytest.raises(InputGuardrailTripwireTriggered): await Runner.run(agent, input="user_message") @@ -780,3 +782,189 @@ async def add_tool() -> str: assert executed["called"] is True assert result.final_output == "done" + + +@pytest.mark.asyncio +async def test_blocking_input_guardrail_delays_tool_execution(): + """Test that blocking input guardrails delay tool execution until they complete.""" + import asyncio + execution_order = [] + + # Create a slow blocking guardrail + async def slow_blocking_guardrail( + context: RunContextWrapper[Any], agent: Agent[Any], input: Any + ) -> GuardrailFunctionOutput: + execution_order.append("guardrail_start") + await asyncio.sleep(0.1) # Simulate slow guardrail + execution_order.append("guardrail_end") + return GuardrailFunctionOutput( + output_info="blocking_completed", + tripwire_triggered=False, + ) + + # Create a tool that tracks when it's called + @function_tool + async def test_tool() -> str: + execution_order.append("tool_executed") + return "tool_result" + + # Create agent with blocking guardrail and tool + blocking_guardrail = InputGuardrail( + guardrail_function=slow_blocking_guardrail, + block_tool_calls=True + ) + + model = FakeModel() + agent = Agent( + name="test", + input_guardrails=[blocking_guardrail], + tools=[test_tool], + model=model, + ) + + # Model output that calls the tool + model.add_multiple_turn_outputs([ + [get_function_tool_call("test_tool", "{}")], + [get_text_message("completed")] + ]) + + result = await Runner.run(agent, input="test input") + + # Verify execution order: guardrail must complete before tool is executed + assert execution_order == ["guardrail_start", "guardrail_end", "tool_executed"] + assert result.final_output == "completed" + assert len(result.input_guardrail_results) == 1 + assert result.input_guardrail_results[0].output.output_info == "blocking_completed" + + +@pytest.mark.asyncio +async def test_non_blocking_input_guardrail_allows_parallel_tool_execution(): + """Test that non-blocking input guardrails allow tool execution in parallel.""" + import asyncio + execution_order = [] + tool_started = asyncio.Event() + + # Create a slow non-blocking guardrail + async def slow_non_blocking_guardrail( + context: RunContextWrapper[Any], agent: Agent[Any], input: Any + ) -> GuardrailFunctionOutput: + execution_order.append("guardrail_start") + # Wait for tool to start before finishing + await tool_started.wait() + execution_order.append("guardrail_end") + return GuardrailFunctionOutput( + output_info="non_blocking_completed", + tripwire_triggered=False, + ) + + # Create a tool that signals when it starts + @function_tool + async def test_tool() -> str: + execution_order.append("tool_start") + tool_started.set() + await asyncio.sleep(0.05) # Small delay + execution_order.append("tool_end") + return "tool_result" + + # Create agent with non-blocking guardrail and tool + non_blocking_guardrail = InputGuardrail( + guardrail_function=slow_non_blocking_guardrail, + block_tool_calls=False + ) + + model = FakeModel() + agent = Agent( + name="test", + input_guardrails=[non_blocking_guardrail], + tools=[test_tool], + model=model, + ) + + # Model output that calls the tool + model.add_multiple_turn_outputs([ + [get_function_tool_call("test_tool", "{}")], + [get_text_message("completed")] + ]) + + result = await Runner.run(agent, input="test input") + + # Verify execution order: tool should start before guardrail finishes + assert execution_order == ["guardrail_start", "tool_start", "guardrail_end", "tool_end"] + assert result.final_output == "completed" + assert len(result.input_guardrail_results) == 1 + assert result.input_guardrail_results[0].output.output_info == "non_blocking_completed" + + +@pytest.mark.asyncio +async def test_mixed_blocking_and_non_blocking_guardrails(): + """Test behavior when both blocking and non-blocking guardrails are present.""" + import asyncio + execution_order = [] + + # Create blocking and non-blocking guardrails + async def blocking_guardrail( + context: RunContextWrapper[Any], agent: Agent[Any], input: Any + ) -> GuardrailFunctionOutput: + execution_order.append("blocking_start") + await asyncio.sleep(0.1) + execution_order.append("blocking_end") + return GuardrailFunctionOutput( + output_info="blocking_done", + tripwire_triggered=False, + ) + + async def non_blocking_guardrail( + context: RunContextWrapper[Any], agent: Agent[Any], input: Any + ) -> GuardrailFunctionOutput: + execution_order.append("non_blocking_start") + await asyncio.sleep(0.15) # Takes longer than blocking + execution_order.append("non_blocking_end") + return GuardrailFunctionOutput( + output_info="non_blocking_done", + tripwire_triggered=False, + ) + + @function_tool + async def test_tool() -> str: + execution_order.append("tool_executed") + return "tool_result" + + # Create agent with both types of guardrails + blocking_gr = InputGuardrail( + guardrail_function=blocking_guardrail, + block_tool_calls=True + ) + non_blocking_gr = InputGuardrail( + guardrail_function=non_blocking_guardrail, + block_tool_calls=False + ) + + model = FakeModel() + agent = Agent( + name="test", + input_guardrails=[blocking_gr, non_blocking_gr], + tools=[test_tool], + model=model, + ) + + model.add_multiple_turn_outputs([ + [get_function_tool_call("test_tool", "{}")], + [get_text_message("completed")] + ]) + + result = await Runner.run(agent, input="test input") + + # With mixed guardrails, tools should wait for ALL guardrails since any blocking guardrail blocks + expected_start = ["blocking_start", "non_blocking_start"] + expected_middle = ["blocking_end"] + expected_end = ["non_blocking_end", "tool_executed"] + + # Check that both guardrails start first + assert execution_order[:2] == expected_start + # Check that blocking guardrail finishes before tool + assert execution_order[2] == expected_middle[0] + # Check that tool waits for all guardrails + assert execution_order[3:] == expected_end + + assert result.final_output == "completed" + assert len(result.input_guardrail_results) == 2 diff --git a/tests/test_guardrails.py b/tests/test_guardrails.py index c9f318c32..c13cfde8a 100644 --- a/tests/test_guardrails.py +++ b/tests/test_guardrails.py @@ -260,3 +260,63 @@ async def test_output_guardrail_decorators(): assert not result.output.tripwire_triggered assert result.output.output_info == "test_4" assert guardrail.get_name() == "Custom name" + + +@input_guardrail(block_tool_calls=False) +def non_blocking_input_guardrail( + context: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem] +) -> GuardrailFunctionOutput: + return GuardrailFunctionOutput( + output_info="non_blocking", + tripwire_triggered=False, + ) + + +@input_guardrail(block_tool_calls=True) +def blocking_input_guardrail( + context: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem] +) -> GuardrailFunctionOutput: + return GuardrailFunctionOutput( + output_info="blocking", + tripwire_triggered=False, + ) + + +@pytest.mark.asyncio +async def test_input_guardrail_block_tool_calls_parameter(): + """Test that the block_tool_calls parameter is properly set.""" + # Test decorator with block_tool_calls=False + guardrail = non_blocking_input_guardrail + assert guardrail.block_tool_calls is False + + # Test decorator with block_tool_calls=True (explicit) + guardrail = blocking_input_guardrail + assert guardrail.block_tool_calls is True + + # Test default behavior (should be True) + @input_guardrail + def default_guardrail( + context: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem] + ) -> GuardrailFunctionOutput: + return GuardrailFunctionOutput(output_info="default", tripwire_triggered=False) + + assert default_guardrail.block_tool_calls is True + + +@pytest.mark.asyncio +async def test_input_guardrail_manual_creation_with_block_tool_calls(): + """Test creating InputGuardrail manually with block_tool_calls parameter.""" + def test_func(context, agent, input): + return GuardrailFunctionOutput(output_info="test", tripwire_triggered=False) + + # Test explicit True + guardrail = InputGuardrail(guardrail_function=test_func, block_tool_calls=True) + assert guardrail.block_tool_calls is True + + # Test explicit False + guardrail = InputGuardrail(guardrail_function=test_func, block_tool_calls=False) + assert guardrail.block_tool_calls is False + + # Test default (should be True) + guardrail = InputGuardrail(guardrail_function=test_func) + assert guardrail.block_tool_calls is True diff --git a/tests/test_tracing_errors.py b/tests/test_tracing_errors.py index 72bd39eda..01b3fdb04 100644 --- a/tests/test_tracing_errors.py +++ b/tests/test_tracing_errors.py @@ -506,11 +506,13 @@ def guardrail_function( @pytest.mark.asyncio async def test_guardrail_error(): - agent = Agent( - name="test", input_guardrails=[InputGuardrail(guardrail_function=guardrail_function)] - ) model = FakeModel() model.set_next_output([get_text_message("some_message")]) + agent = Agent( + name="test", + input_guardrails=[InputGuardrail(guardrail_function=guardrail_function)], + model=model + ) with pytest.raises(InputGuardrailTripwireTriggered): await Runner.run(agent, input="user_message") From 182cb15644acd1859c42bfaf0427bfab5e292814 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 24 Jun 2025 12:10:39 -0400 Subject: [PATCH 138/337] Point CLAUDE.md to AGENTS.md --- AGENTS.md | 4 +++- CLAUDE.md | 1 + 2 files changed, 4 insertions(+), 1 deletion(-) create mode 100644 CLAUDE.md diff --git a/AGENTS.md b/AGENTS.md index ff37db326..291c31837 100644 --- a/AGENTS.md +++ b/AGENTS.md @@ -35,6 +35,8 @@ Welcome to the OpenAI Agents SDK repository. This file contains the main points Coverage can be generated with `make coverage`. +All python commands should be run via `uv run python ...` + ## Snapshot tests Some tests rely on inline snapshots. See `tests/README.md` for details on updating them: @@ -64,6 +66,6 @@ Commit messages should be concise and written in the imperative mood. Small, foc ## What reviewers look for - Tests covering new behaviour. -- Consistent style: code formatted with `ruff format`, imports sorted, and type hints passing `mypy`. +- Consistent style: code formatted with `uv run ruff format`, imports sorted, and type hints passing `uv run mypy .`. - Clear documentation for any public API changes. - Clean history and a helpful PR description. diff --git a/CLAUDE.md b/CLAUDE.md new file mode 100644 index 000000000..5e01a1c3d --- /dev/null +++ b/CLAUDE.md @@ -0,0 +1 @@ +Read the AGENTS.md file for instructions. \ No newline at end of file From 34d46cb95516f49f550a1f1864a24e969edcef44 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 24 Jun 2025 12:09:57 -0400 Subject: [PATCH 139/337] Ensure that input_guardrails can block tools from running --- src/agents/guardrail.py | 12 ++- src/agents/run.py | 168 +++++++++++++++++++++++++++++-- tests/test_agent_runner.py | 188 ++++++++++++++++++++++++++++++++++- tests/test_guardrails.py | 61 ++++++++++++ tests/test_tracing_errors.py | 8 +- 5 files changed, 423 insertions(+), 14 deletions(-) diff --git a/src/agents/guardrail.py b/src/agents/guardrail.py index a96f0f7d7..d7c5808ce 100644 --- a/src/agents/guardrail.py +++ b/src/agents/guardrail.py @@ -96,6 +96,12 @@ class InputGuardrail(Generic[TContext]): function's name. """ + block_tool_calls: bool = True + """Whether this guardrail should block tool calls until it completes. If any input guardrail + has this set to True, tool execution will be delayed until all blocking guardrails finish. + Defaults to True for backwards compatibility and safety. + """ + def get_name(self) -> str: if self.name: return self.name @@ -208,6 +214,7 @@ def input_guardrail( def input_guardrail( *, name: str | None = None, + block_tool_calls: bool = True, ) -> Callable[ [_InputGuardrailFuncSync[TContext_co] | _InputGuardrailFuncAsync[TContext_co]], InputGuardrail[TContext_co], @@ -220,6 +227,7 @@ def input_guardrail( | None = None, *, name: str | None = None, + block_tool_calls: bool = True, ) -> ( InputGuardrail[TContext_co] | Callable[ @@ -234,14 +242,14 @@ def input_guardrail( @input_guardrail def my_sync_guardrail(...): ... - @input_guardrail(name="guardrail_name") + @input_guardrail(name="guardrail_name", block_tool_calls=False) async def my_async_guardrail(...): ... """ def decorator( f: _InputGuardrailFuncSync[TContext_co] | _InputGuardrailFuncAsync[TContext_co], ) -> InputGuardrail[TContext_co]: - return InputGuardrail(guardrail_function=f, name=name) + return InputGuardrail(guardrail_function=f, name=name, block_tool_calls=block_tool_calls) if func is not None: # Decorator was used without parentheses diff --git a/src/agents/run.py b/src/agents/run.py index e5f9378ec..8d28b7b73 100644 --- a/src/agents/run.py +++ b/src/agents/run.py @@ -394,15 +394,26 @@ async def run( ) if current_turn == 1: - input_guardrail_results, turn_result = await asyncio.gather( + # Separate blocking and non-blocking guardrails + all_guardrails = starting_agent.input_guardrails + ( + run_config.input_guardrails or [] + ) + blocking_guardrails, non_blocking_guardrails = ( + self._separate_blocking_guardrails(all_guardrails) + ) + + # Start all guardrails and model call in parallel + all_guardrails_task = asyncio.create_task( self._run_input_guardrails( starting_agent, - starting_agent.input_guardrails - + (run_config.input_guardrails or []), + all_guardrails, copy.deepcopy(input), context_wrapper, - ), - self._run_single_turn( + ) + ) + + model_response_task = asyncio.create_task( + self._get_model_response_only( agent=current_agent, all_tools=all_tools, original_input=original_input, @@ -413,8 +424,52 @@ async def run( should_run_agent_start_hooks=should_run_agent_start_hooks, tool_use_tracker=tool_use_tracker, previous_response_id=previous_response_id, - ), + ) ) + + # Get model response first (runs in parallel with guardrails) + model_response, output_schema, handoffs = await model_response_task + + # Now handle tool execution based on blocking behavior + if blocking_guardrails: + # Wait for all guardrails to complete before executing tools + input_guardrail_results = await all_guardrails_task + + # Now execute tools after guardrails complete + turn_result = await self._execute_tools_from_model_response( + agent=current_agent, + all_tools=all_tools, + original_input=original_input, + generated_items=generated_items, + new_response=model_response, + output_schema=output_schema, + handoffs=handoffs, + hooks=hooks, + context_wrapper=context_wrapper, + run_config=run_config, + tool_use_tracker=tool_use_tracker, + ) + else: + # No blocking guardrails - execute tools in parallel with remaining guardrails + tool_execution_task = asyncio.create_task( + self._execute_tools_from_model_response( + agent=current_agent, + all_tools=all_tools, + original_input=original_input, + generated_items=generated_items, + new_response=model_response, + output_schema=output_schema, + handoffs=handoffs, + hooks=hooks, + context_wrapper=context_wrapper, + run_config=run_config, + tool_use_tracker=tool_use_tracker, + ) + ) + + input_guardrail_results, turn_result = await asyncio.gather( + all_guardrails_task, tool_execution_task + ) else: turn_result = await self._run_single_turn( agent=current_agent, @@ -973,6 +1028,107 @@ async def _get_single_step_result_from_response( run_config=run_config, ) + @classmethod + def _separate_blocking_guardrails( + cls, + guardrails: list[InputGuardrail[TContext]], + ) -> tuple[list[InputGuardrail[TContext]], list[InputGuardrail[TContext]]]: + """Separate guardrails into blocking and non-blocking lists.""" + blocking = [] + non_blocking = [] + + for guardrail in guardrails: + if guardrail.block_tool_calls: + blocking.append(guardrail) + else: + non_blocking.append(guardrail) + + return blocking, non_blocking + + @classmethod + async def _get_model_response_only( + cls, + *, + agent: Agent[TContext], + all_tools: list[Tool], + original_input: str | list[TResponseInputItem], + generated_items: list[RunItem], + hooks: RunHooks[TContext], + context_wrapper: RunContextWrapper[TContext], + run_config: RunConfig, + should_run_agent_start_hooks: bool, + tool_use_tracker: AgentToolUseTracker, + previous_response_id: str | None, + ) -> tuple[ModelResponse, AgentOutputSchemaBase | None, list[Handoff]]: + """Get model response without executing tools. Returns model response and processed metadata.""" + # Ensure we run the hooks before anything else + if should_run_agent_start_hooks: + await asyncio.gather( + hooks.on_agent_start(context_wrapper, agent), + ( + agent.hooks.on_start(context_wrapper, agent) + if agent.hooks + else _coro.noop_coroutine() + ), + ) + + system_prompt, prompt_config = await asyncio.gather( + agent.get_system_prompt(context_wrapper), + agent.get_prompt(context_wrapper), + ) + + output_schema = cls._get_output_schema(agent) + handoffs = await cls._get_handoffs(agent, context_wrapper) + input = ItemHelpers.input_to_new_input_list(original_input) + input.extend([generated_item.to_input_item() for generated_item in generated_items]) + + new_response = await cls._get_new_response( + agent, + system_prompt, + input, + output_schema, + all_tools, + handoffs, + context_wrapper, + run_config, + tool_use_tracker, + previous_response_id, + prompt_config, + ) + + return new_response, output_schema, handoffs + + @classmethod + async def _execute_tools_from_model_response( + cls, + *, + agent: Agent[TContext], + all_tools: list[Tool], + original_input: str | list[TResponseInputItem], + generated_items: list[RunItem], + new_response: ModelResponse, + output_schema: AgentOutputSchemaBase | None, + handoffs: list[Handoff], + hooks: RunHooks[TContext], + context_wrapper: RunContextWrapper[TContext], + run_config: RunConfig, + tool_use_tracker: AgentToolUseTracker, + ) -> SingleStepResult: + """Execute tools and side effects from a model response.""" + return await cls._get_single_step_result_from_response( + agent=agent, + original_input=original_input, + pre_step_items=generated_items, + new_response=new_response, + output_schema=output_schema, + all_tools=all_tools, + handoffs=handoffs, + hooks=hooks, + context_wrapper=context_wrapper, + run_config=run_config, + tool_use_tracker=tool_use_tracker, + ) + @classmethod async def _run_input_guardrails( cls, diff --git a/tests/test_agent_runner.py b/tests/test_agent_runner.py index 77eb8019e..e21a67b94 100644 --- a/tests/test_agent_runner.py +++ b/tests/test_agent_runner.py @@ -526,11 +526,13 @@ def guardrail_function( tripwire_triggered=True, ) - agent = Agent( - name="test", input_guardrails=[InputGuardrail(guardrail_function=guardrail_function)] - ) model = FakeModel() model.set_next_output([get_text_message("user_message")]) + agent = Agent( + name="test", + input_guardrails=[InputGuardrail(guardrail_function=guardrail_function)], + model=model, + ) with pytest.raises(InputGuardrailTripwireTriggered): await Runner.run(agent, input="user_message") @@ -780,3 +782,183 @@ async def add_tool() -> str: assert executed["called"] is True assert result.final_output == "done" + + +@pytest.mark.asyncio +async def test_blocking_input_guardrail_delays_tool_execution(): + """Test that blocking input guardrails delay tool execution until they complete.""" + import asyncio + + execution_order = [] + + # Create a slow blocking guardrail + async def slow_blocking_guardrail( + context: RunContextWrapper[Any], agent: Agent[Any], input: Any + ) -> GuardrailFunctionOutput: + execution_order.append("guardrail_start") + await asyncio.sleep(0.1) # Simulate slow guardrail + execution_order.append("guardrail_end") + return GuardrailFunctionOutput( + output_info="blocking_completed", + tripwire_triggered=False, + ) + + # Create a tool that tracks when it's called + @function_tool + async def test_tool() -> str: + execution_order.append("tool_executed") + return "tool_result" + + # Create agent with blocking guardrail and tool + blocking_guardrail = InputGuardrail( + guardrail_function=slow_blocking_guardrail, block_tool_calls=True + ) + + model = FakeModel() + agent = Agent( + name="test", + input_guardrails=[blocking_guardrail], + tools=[test_tool], + model=model, + ) + + # Model output that calls the tool + model.add_multiple_turn_outputs( + [[get_function_tool_call("test_tool", "{}")], [get_text_message("completed")]] + ) + + result = await Runner.run(agent, input="test input") + + # Verify execution order: guardrail must complete before tool is executed + assert execution_order == ["guardrail_start", "guardrail_end", "tool_executed"] + assert result.final_output == "completed" + assert len(result.input_guardrail_results) == 1 + assert result.input_guardrail_results[0].output.output_info == "blocking_completed" + + +@pytest.mark.asyncio +async def test_non_blocking_input_guardrail_allows_parallel_tool_execution(): + """Test that non-blocking input guardrails allow tool execution in parallel.""" + import asyncio + + execution_order = [] + tool_started = asyncio.Event() + + # Create a slow non-blocking guardrail + async def slow_non_blocking_guardrail( + context: RunContextWrapper[Any], agent: Agent[Any], input: Any + ) -> GuardrailFunctionOutput: + execution_order.append("guardrail_start") + # Wait for tool to start before finishing + await tool_started.wait() + execution_order.append("guardrail_end") + return GuardrailFunctionOutput( + output_info="non_blocking_completed", + tripwire_triggered=False, + ) + + # Create a tool that signals when it starts + @function_tool + async def test_tool() -> str: + execution_order.append("tool_start") + tool_started.set() + await asyncio.sleep(0.05) # Small delay + execution_order.append("tool_end") + return "tool_result" + + # Create agent with non-blocking guardrail and tool + non_blocking_guardrail = InputGuardrail( + guardrail_function=slow_non_blocking_guardrail, block_tool_calls=False + ) + + model = FakeModel() + agent = Agent( + name="test", + input_guardrails=[non_blocking_guardrail], + tools=[test_tool], + model=model, + ) + + # Model output that calls the tool + model.add_multiple_turn_outputs( + [[get_function_tool_call("test_tool", "{}")], [get_text_message("completed")]] + ) + + result = await Runner.run(agent, input="test input") + + # Verify execution order: tool should start before guardrail finishes + assert execution_order == ["guardrail_start", "tool_start", "guardrail_end", "tool_end"] + assert result.final_output == "completed" + assert len(result.input_guardrail_results) == 1 + assert result.input_guardrail_results[0].output.output_info == "non_blocking_completed" + + +@pytest.mark.asyncio +async def test_mixed_blocking_and_non_blocking_guardrails(): + """Test behavior when both blocking and non-blocking guardrails are present.""" + import asyncio + + execution_order = [] + + # Create blocking and non-blocking guardrails + async def blocking_guardrail( + context: RunContextWrapper[Any], agent: Agent[Any], input: Any + ) -> GuardrailFunctionOutput: + execution_order.append("blocking_start") + await asyncio.sleep(0.1) + execution_order.append("blocking_end") + return GuardrailFunctionOutput( + output_info="blocking_done", + tripwire_triggered=False, + ) + + async def non_blocking_guardrail( + context: RunContextWrapper[Any], agent: Agent[Any], input: Any + ) -> GuardrailFunctionOutput: + execution_order.append("non_blocking_start") + await asyncio.sleep(0.15) # Takes longer than blocking + execution_order.append("non_blocking_end") + return GuardrailFunctionOutput( + output_info="non_blocking_done", + tripwire_triggered=False, + ) + + @function_tool + async def test_tool() -> str: + execution_order.append("tool_executed") + return "tool_result" + + # Create agent with both types of guardrails + blocking_gr = InputGuardrail(guardrail_function=blocking_guardrail, block_tool_calls=True) + non_blocking_gr = InputGuardrail( + guardrail_function=non_blocking_guardrail, block_tool_calls=False + ) + + model = FakeModel() + agent = Agent( + name="test", + input_guardrails=[blocking_gr, non_blocking_gr], + tools=[test_tool], + model=model, + ) + + model.add_multiple_turn_outputs( + [[get_function_tool_call("test_tool", "{}")], [get_text_message("completed")]] + ) + + result = await Runner.run(agent, input="test input") + + # With mixed guardrails, tools should wait for ALL guardrails since any blocking guardrail blocks + expected_start = ["blocking_start", "non_blocking_start"] + expected_middle = ["blocking_end"] + expected_end = ["non_blocking_end", "tool_executed"] + + # Check that both guardrails start first + assert execution_order[:2] == expected_start + # Check that blocking guardrail finishes before tool + assert execution_order[2] == expected_middle[0] + # Check that tool waits for all guardrails + assert execution_order[3:] == expected_end + + assert result.final_output == "completed" + assert len(result.input_guardrail_results) == 2 diff --git a/tests/test_guardrails.py b/tests/test_guardrails.py index c9f318c32..0599f8971 100644 --- a/tests/test_guardrails.py +++ b/tests/test_guardrails.py @@ -260,3 +260,64 @@ async def test_output_guardrail_decorators(): assert not result.output.tripwire_triggered assert result.output.output_info == "test_4" assert guardrail.get_name() == "Custom name" + + +@input_guardrail(block_tool_calls=False) +def non_blocking_input_guardrail( + context: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem] +) -> GuardrailFunctionOutput: + return GuardrailFunctionOutput( + output_info="non_blocking", + tripwire_triggered=False, + ) + + +@input_guardrail(block_tool_calls=True) +def blocking_input_guardrail( + context: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem] +) -> GuardrailFunctionOutput: + return GuardrailFunctionOutput( + output_info="blocking", + tripwire_triggered=False, + ) + + +@pytest.mark.asyncio +async def test_input_guardrail_block_tool_calls_parameter(): + """Test that the block_tool_calls parameter is properly set.""" + # Test decorator with block_tool_calls=False + guardrail = non_blocking_input_guardrail + assert guardrail.block_tool_calls is False + + # Test decorator with block_tool_calls=True (explicit) + guardrail = blocking_input_guardrail + assert guardrail.block_tool_calls is True + + # Test default behavior (should be True) + @input_guardrail + def default_guardrail( + context: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem] + ) -> GuardrailFunctionOutput: + return GuardrailFunctionOutput(output_info="default", tripwire_triggered=False) + + assert default_guardrail.block_tool_calls is True + + +@pytest.mark.asyncio +async def test_input_guardrail_manual_creation_with_block_tool_calls(): + """Test creating InputGuardrail manually with block_tool_calls parameter.""" + + def test_func(context, agent, input): + return GuardrailFunctionOutput(output_info="test", tripwire_triggered=False) + + # Test explicit True + guardrail = InputGuardrail(guardrail_function=test_func, block_tool_calls=True) + assert guardrail.block_tool_calls is True + + # Test explicit False + guardrail = InputGuardrail(guardrail_function=test_func, block_tool_calls=False) + assert guardrail.block_tool_calls is False + + # Test default (should be True) + guardrail = InputGuardrail(guardrail_function=test_func) + assert guardrail.block_tool_calls is True diff --git a/tests/test_tracing_errors.py b/tests/test_tracing_errors.py index 72bd39eda..db52250bb 100644 --- a/tests/test_tracing_errors.py +++ b/tests/test_tracing_errors.py @@ -506,11 +506,13 @@ def guardrail_function( @pytest.mark.asyncio async def test_guardrail_error(): - agent = Agent( - name="test", input_guardrails=[InputGuardrail(guardrail_function=guardrail_function)] - ) model = FakeModel() model.set_next_output([get_text_message("some_message")]) + agent = Agent( + name="test", + input_guardrails=[InputGuardrail(guardrail_function=guardrail_function)], + model=model, + ) with pytest.raises(InputGuardrailTripwireTriggered): await Runner.run(agent, input="user_message") From 0e65d84a0d3e1d1a56fe1985e844a1bd937ab76c Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 27 Jun 2025 14:38:16 -0400 Subject: [PATCH 140/337] v0.1.0 --- docs/release.md | 14 ++++++++++---- pyproject.toml | 2 +- uv.lock | 2 +- 3 files changed, 12 insertions(+), 6 deletions(-) diff --git a/docs/release.md b/docs/release.md index 3bfc6e9b8..39a794fbf 100644 --- a/docs/release.md +++ b/docs/release.md @@ -12,7 +12,13 @@ If you don't want breaking changes, we recommend pinning to `0.0.x` versions in We will increment `Z` for non-breaking changes: -- Bug fixes -- New features -- Changes to private interfaces -- Updates to beta features +- Bug fixes +- New features +- Changes to private interfaces +- Updates to beta features + +## Breaking change changelog + +### 0.1.0 + +In this version, [`MCPServer.list_tools()`][agents.mcp.server.MCPServer] has two new params: `run_context` and `agent`. You'll need to add these params to any classes that subclass `MCPServer`. diff --git a/pyproject.toml b/pyproject.toml index 0dc0ca567..e659348ca 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "openai-agents" -version = "0.0.19" +version = "0.1.0" description = "OpenAI Agents SDK" readme = "README.md" requires-python = ">=3.9" diff --git a/uv.lock b/uv.lock index 679d8d2c1..d882c9bc5 100644 --- a/uv.lock +++ b/uv.lock @@ -1480,7 +1480,7 @@ wheels = [ [[package]] name = "openai-agents" -version = "0.0.19" +version = "0.1.0" source = { editable = "." } dependencies = [ { name = "griffe" }, From 6a0f9d577e4df255954c55199a7cdc34d6c49a5a Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 27 Jun 2025 14:38:16 -0400 Subject: [PATCH 141/337] v0.1.0 --- docs/release.md | 16 +++++++++++----- pyproject.toml | 2 +- uv.lock | 2 +- 3 files changed, 13 insertions(+), 7 deletions(-) diff --git a/docs/release.md b/docs/release.md index 3bfc6e9b8..a86103f96 100644 --- a/docs/release.md +++ b/docs/release.md @@ -1,4 +1,4 @@ -# Release process +# Release process/changelog The project follows a slightly modified version of semantic versioning using the form `0.Y.Z`. The leading `0` indicates the SDK is still evolving rapidly. Increment the components as follows: @@ -12,7 +12,13 @@ If you don't want breaking changes, we recommend pinning to `0.0.x` versions in We will increment `Z` for non-breaking changes: -- Bug fixes -- New features -- Changes to private interfaces -- Updates to beta features +- Bug fixes +- New features +- Changes to private interfaces +- Updates to beta features + +## Breaking change changelog + +### 0.1.0 + +In this version, [`MCPServer.list_tools()`][agents.mcp.server.MCPServer] has two new params: `run_context` and `agent`. You'll need to add these params to any classes that subclass `MCPServer`. diff --git a/pyproject.toml b/pyproject.toml index 0dc0ca567..e659348ca 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "openai-agents" -version = "0.0.19" +version = "0.1.0" description = "OpenAI Agents SDK" readme = "README.md" requires-python = ">=3.9" diff --git a/uv.lock b/uv.lock index 679d8d2c1..d882c9bc5 100644 --- a/uv.lock +++ b/uv.lock @@ -1480,7 +1480,7 @@ wheels = [ [[package]] name = "openai-agents" -version = "0.0.19" +version = "0.1.0" source = { editable = "." } dependencies = [ { name = "griffe" }, From 815d206bd3ed20fb4dac4636275279b4c34eb72e Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 8 Jul 2025 14:59:08 -0400 Subject: [PATCH 142/337] Refactor agent into AgentBase+Agent --- src/agents/__init__.py | 3 +- src/agents/agent.py | 61 ++++++++++++++++++++----------------- src/agents/lifecycle.py | 43 +++++++++++++++----------- src/agents/mcp/server.py | 10 +++--- src/agents/mcp/util.py | 11 +++---- src/agents/tool.py | 11 +++---- tests/test_function_tool.py | 11 +++++-- 7 files changed, 85 insertions(+), 65 deletions(-) diff --git a/src/agents/__init__.py b/src/agents/__init__.py index 1296b72be..ca3c9f94a 100644 --- a/src/agents/__init__.py +++ b/src/agents/__init__.py @@ -5,7 +5,7 @@ from openai import AsyncOpenAI from . import _config -from .agent import Agent, ToolsToFinalOutputFunction, ToolsToFinalOutputResult +from .agent import Agent, AgentBase, ToolsToFinalOutputFunction, ToolsToFinalOutputResult from .agent_output import AgentOutputSchema, AgentOutputSchemaBase from .computer import AsyncComputer, Button, Computer, Environment from .exceptions import ( @@ -160,6 +160,7 @@ def enable_verbose_stdout_logging(): __all__ = [ "Agent", + "AgentBase", "ToolsToFinalOutputFunction", "ToolsToFinalOutputResult", "Runner", diff --git a/src/agents/agent.py b/src/agents/agent.py index 6c87297f1..b855e03b4 100644 --- a/src/agents/agent.py +++ b/src/agents/agent.py @@ -67,7 +67,36 @@ class MCPConfig(TypedDict): @dataclass -class Agent(Generic[TContext]): +class AgentBase: + """Base class for `Agent` and `RealtimeAgent`.""" + + name: str + """The name of the agent.""" + + handoff_description: str | None = None + """A description of the agent. This is used when the agent is used as a handoff, so that an + LLM knows what it does and when to invoke it. + """ + + tools: list[Tool] = field(default_factory=list) + """A list of tools that the agent can use.""" + + mcp_servers: list[MCPServer] = field(default_factory=list) + """A list of [Model Context Protocol](https://modelcontextprotocol.io/) servers that + the agent can use. Every time the agent runs, it will include tools from these servers in the + list of available tools. + + NOTE: You are expected to manage the lifecycle of these servers. Specifically, you must call + `server.connect()` before passing it to the agent, and `server.cleanup()` when the server is no + longer needed. + """ + + mcp_config: MCPConfig = field(default_factory=lambda: MCPConfig()) + """Configuration for MCP servers.""" + + +@dataclass +class Agent(AgentBase, Generic[TContext]): """An agent is an AI model configured with instructions, tools, guardrails, handoffs and more. We strongly recommend passing `instructions`, which is the "system prompt" for the agent. In @@ -76,10 +105,9 @@ class Agent(Generic[TContext]): Agents are generic on the context type. The context is a (mutable) object you create. It is passed to tool functions, handoffs, guardrails, etc. - """ - name: str - """The name of the agent.""" + See `AgentBase` for base parameters that are shared with `RealtimeAgent`s. + """ instructions: ( str @@ -103,11 +131,6 @@ class Agent(Generic[TContext]): usable with OpenAI models, using the Responses API. """ - handoff_description: str | None = None - """A description of the agent. This is used when the agent is used as a handoff, so that an - LLM knows what it does and when to invoke it. - """ - handoffs: list[Agent[Any] | Handoff[TContext]] = field(default_factory=list) """Handoffs are sub-agents that the agent can delegate to. You can provide a list of handoffs, and the agent can choose to delegate to them if relevant. Allows for separation of concerns and @@ -125,22 +148,6 @@ class Agent(Generic[TContext]): """Configures model-specific tuning parameters (e.g. temperature, top_p). """ - tools: list[Tool] = field(default_factory=list) - """A list of tools that the agent can use.""" - - mcp_servers: list[MCPServer] = field(default_factory=list) - """A list of [Model Context Protocol](https://modelcontextprotocol.io/) servers that - the agent can use. Every time the agent runs, it will include tools from these servers in the - list of available tools. - - NOTE: You are expected to manage the lifecycle of these servers. Specifically, you must call - `server.connect()` before passing it to the agent, and `server.cleanup()` when the server is no - longer needed. - """ - - mcp_config: MCPConfig = field(default_factory=lambda: MCPConfig()) - """Configuration for MCP servers.""" - input_guardrails: list[InputGuardrail[TContext]] = field(default_factory=list) """A list of checks that run in parallel to the agent's execution, before generating a response. Runs only if the agent is the first agent in the chain. @@ -256,9 +263,7 @@ async def get_prompt( """Get the prompt for the agent.""" return await PromptUtil.to_model_input(self.prompt, run_context, self) - async def get_mcp_tools( - self, run_context: RunContextWrapper[TContext] - ) -> list[Tool]: + async def get_mcp_tools(self, run_context: RunContextWrapper[TContext]) -> list[Tool]: """Fetches the available tools from the MCP servers.""" convert_schemas_to_strict = self.mcp_config.get("convert_schemas_to_strict", False) return await MCPUtil.get_all_function_tools( diff --git a/src/agents/lifecycle.py b/src/agents/lifecycle.py index 8643248b1..2cce496c8 100644 --- a/src/agents/lifecycle.py +++ b/src/agents/lifecycle.py @@ -1,25 +1,27 @@ from typing import Any, Generic -from .agent import Agent +from typing_extensions import TypeVar + +from .agent import Agent, AgentBase from .run_context import RunContextWrapper, TContext from .tool import Tool +TAgent = TypeVar("TAgent", bound=AgentBase, default=AgentBase) + -class RunHooks(Generic[TContext]): +class RunHooksBase(Generic[TContext, TAgent]): """A class that receives callbacks on various lifecycle events in an agent run. Subclass and override the methods you need. """ - async def on_agent_start( - self, context: RunContextWrapper[TContext], agent: Agent[TContext] - ) -> None: + async def on_agent_start(self, context: RunContextWrapper[TContext], agent: TAgent) -> None: """Called before the agent is invoked. Called each time the current agent changes.""" pass async def on_agent_end( self, context: RunContextWrapper[TContext], - agent: Agent[TContext], + agent: TAgent, output: Any, ) -> None: """Called when the agent produces a final output.""" @@ -28,8 +30,8 @@ async def on_agent_end( async def on_handoff( self, context: RunContextWrapper[TContext], - from_agent: Agent[TContext], - to_agent: Agent[TContext], + from_agent: TAgent, + to_agent: TAgent, ) -> None: """Called when a handoff occurs.""" pass @@ -37,7 +39,7 @@ async def on_handoff( async def on_tool_start( self, context: RunContextWrapper[TContext], - agent: Agent[TContext], + agent: TAgent, tool: Tool, ) -> None: """Called before a tool is invoked.""" @@ -46,7 +48,7 @@ async def on_tool_start( async def on_tool_end( self, context: RunContextWrapper[TContext], - agent: Agent[TContext], + agent: TAgent, tool: Tool, result: str, ) -> None: @@ -54,14 +56,14 @@ async def on_tool_end( pass -class AgentHooks(Generic[TContext]): +class AgentHooksBase(Generic[TContext, TAgent]): """A class that receives callbacks on various lifecycle events for a specific agent. You can set this on `agent.hooks` to receive events for that specific agent. Subclass and override the methods you need. """ - async def on_start(self, context: RunContextWrapper[TContext], agent: Agent[TContext]) -> None: + async def on_start(self, context: RunContextWrapper[TContext], agent: TAgent) -> None: """Called before the agent is invoked. Called each time the running agent is changed to this agent.""" pass @@ -69,7 +71,7 @@ async def on_start(self, context: RunContextWrapper[TContext], agent: Agent[TCon async def on_end( self, context: RunContextWrapper[TContext], - agent: Agent[TContext], + agent: TAgent, output: Any, ) -> None: """Called when the agent produces a final output.""" @@ -78,8 +80,8 @@ async def on_end( async def on_handoff( self, context: RunContextWrapper[TContext], - agent: Agent[TContext], - source: Agent[TContext], + agent: TAgent, + source: TAgent, ) -> None: """Called when the agent is being handed off to. The `source` is the agent that is handing off to this agent.""" @@ -88,7 +90,7 @@ async def on_handoff( async def on_tool_start( self, context: RunContextWrapper[TContext], - agent: Agent[TContext], + agent: TAgent, tool: Tool, ) -> None: """Called before a tool is invoked.""" @@ -97,9 +99,16 @@ async def on_tool_start( async def on_tool_end( self, context: RunContextWrapper[TContext], - agent: Agent[TContext], + agent: TAgent, tool: Tool, result: str, ) -> None: """Called after a tool is invoked.""" pass + + +RunHooks = RunHooksBase[TContext, Agent] +"""Run hooks when using `Agent`.""" + +AgentHooks = AgentHooksBase[TContext, Agent] +"""Agent hooks for `Agent`s.""" diff --git a/src/agents/mcp/server.py b/src/agents/mcp/server.py index 4fd606e34..91a9274fc 100644 --- a/src/agents/mcp/server.py +++ b/src/agents/mcp/server.py @@ -22,7 +22,7 @@ from .util import ToolFilter, ToolFilterCallable, ToolFilterContext, ToolFilterStatic if TYPE_CHECKING: - from ..agent import Agent + from ..agent import AgentBase class MCPServer(abc.ABC): @@ -53,7 +53,7 @@ async def cleanup(self): async def list_tools( self, run_context: RunContextWrapper[Any] | None = None, - agent: Agent[Any] | None = None, + agent: AgentBase | None = None, ) -> list[MCPTool]: """List the tools available on the server.""" pass @@ -117,7 +117,7 @@ async def _apply_tool_filter( self, tools: list[MCPTool], run_context: RunContextWrapper[Any], - agent: Agent[Any], + agent: AgentBase, ) -> list[MCPTool]: """Apply the tool filter to the list of tools.""" if self.tool_filter is None: @@ -153,7 +153,7 @@ async def _apply_dynamic_tool_filter( self, tools: list[MCPTool], run_context: RunContextWrapper[Any], - agent: Agent[Any], + agent: AgentBase, ) -> list[MCPTool]: """Apply dynamic tool filtering using a callable filter function.""" @@ -244,7 +244,7 @@ async def connect(self): async def list_tools( self, run_context: RunContextWrapper[Any] | None = None, - agent: Agent[Any] | None = None, + agent: AgentBase | None = None, ) -> list[MCPTool]: """List the tools available on the server.""" if not self.session: diff --git a/src/agents/mcp/util.py b/src/agents/mcp/util.py index 48da9f841..18cf4440a 100644 --- a/src/agents/mcp/util.py +++ b/src/agents/mcp/util.py @@ -5,12 +5,11 @@ from typing_extensions import NotRequired, TypedDict -from agents.strict_schema import ensure_strict_json_schema - from .. import _debug from ..exceptions import AgentsException, ModelBehaviorError, UserError from ..logger import logger from ..run_context import RunContextWrapper +from ..strict_schema import ensure_strict_json_schema from ..tool import FunctionTool, Tool from ..tracing import FunctionSpanData, get_current_span, mcp_tools_span from ..util._types import MaybeAwaitable @@ -18,7 +17,7 @@ if TYPE_CHECKING: from mcp.types import Tool as MCPTool - from ..agent import Agent + from ..agent import AgentBase from .server import MCPServer @@ -29,7 +28,7 @@ class ToolFilterContext: run_context: RunContextWrapper[Any] """The current run context.""" - agent: "Agent[Any]" + agent: "AgentBase" """The agent that is requesting the tool list.""" server_name: str @@ -100,7 +99,7 @@ async def get_all_function_tools( servers: list["MCPServer"], convert_schemas_to_strict: bool, run_context: RunContextWrapper[Any], - agent: "Agent[Any]", + agent: "AgentBase", ) -> list[Tool]: """Get all function tools from a list of MCP servers.""" tools = [] @@ -126,7 +125,7 @@ async def get_function_tools( server: "MCPServer", convert_schemas_to_strict: bool, run_context: RunContextWrapper[Any], - agent: "Agent[Any]", + agent: "AgentBase", ) -> list[Tool]: """Get all function tools from a single MCP server.""" diff --git a/src/agents/tool.py b/src/agents/tool.py index 3aab47752..0faf09846 100644 --- a/src/agents/tool.py +++ b/src/agents/tool.py @@ -30,8 +30,7 @@ from .util._types import MaybeAwaitable if TYPE_CHECKING: - - from .agent import Agent + from .agent import Agent, AgentBase ToolParams = ParamSpec("ToolParams") @@ -88,7 +87,7 @@ class FunctionTool: """Whether the JSON schema is in strict mode. We **strongly** recommend setting this to True, as it increases the likelihood of correct JSON input.""" - is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True + is_enabled: bool | Callable[[RunContextWrapper[Any], AgentBase], MaybeAwaitable[bool]] = True """Whether the tool is enabled. Either a bool or a Callable that takes the run context and agent and returns whether the tool is enabled. You can use this to dynamically enable/disable a tool based on your context/state.""" @@ -301,7 +300,7 @@ def function_tool( use_docstring_info: bool = True, failure_error_function: ToolErrorFunction | None = None, strict_mode: bool = True, - is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, + is_enabled: bool | Callable[[RunContextWrapper[Any], AgentBase], MaybeAwaitable[bool]] = True, ) -> FunctionTool: """Overload for usage as @function_tool (no parentheses).""" ... @@ -316,7 +315,7 @@ def function_tool( use_docstring_info: bool = True, failure_error_function: ToolErrorFunction | None = None, strict_mode: bool = True, - is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, + is_enabled: bool | Callable[[RunContextWrapper[Any], AgentBase], MaybeAwaitable[bool]] = True, ) -> Callable[[ToolFunction[...]], FunctionTool]: """Overload for usage as @function_tool(...).""" ... @@ -331,7 +330,7 @@ def function_tool( use_docstring_info: bool = True, failure_error_function: ToolErrorFunction | None = default_tool_error_function, strict_mode: bool = True, - is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, + is_enabled: bool | Callable[[RunContextWrapper[Any], AgentBase], MaybeAwaitable[bool]] = True, ) -> FunctionTool | Callable[[ToolFunction[...]], FunctionTool]: """ Decorator to create a FunctionTool from a function. By default, we will: diff --git a/tests/test_function_tool.py b/tests/test_function_tool.py index b232bf75e..9b02a2c42 100644 --- a/tests/test_function_tool.py +++ b/tests/test_function_tool.py @@ -5,7 +5,14 @@ from pydantic import BaseModel from typing_extensions import TypedDict -from agents import Agent, FunctionTool, ModelBehaviorError, RunContextWrapper, function_tool +from agents import ( + Agent, + AgentBase, + FunctionTool, + ModelBehaviorError, + RunContextWrapper, + function_tool, +) from agents.tool import default_tool_error_function from agents.tool_context import ToolContext @@ -268,7 +275,7 @@ async def test_is_enabled_bool_and_callable(): def disabled_tool(): return "nope" - async def cond_enabled(ctx: RunContextWrapper[BoolCtx], agent: Agent[Any]) -> bool: + async def cond_enabled(ctx: RunContextWrapper[BoolCtx], agent: AgentBase) -> bool: return ctx.context.enable_tools @function_tool(is_enabled=cond_enabled) From 5def69371307b8ea0d15f39aea8bf062e393e180 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 8 Jul 2025 16:07:26 -0400 Subject: [PATCH 143/337] Introduce RealtimeAgent --- src/agents/realtime/__init__.py | 3 + src/agents/realtime/agent.py | 110 ++++++++++++++++++++++++++++++++ tests/realtime/__init__.py | 0 tests/realtime/test_agent.py | 25 ++++++++ 4 files changed, 138 insertions(+) create mode 100644 src/agents/realtime/__init__.py create mode 100644 src/agents/realtime/agent.py create mode 100644 tests/realtime/__init__.py create mode 100644 tests/realtime/test_agent.py diff --git a/src/agents/realtime/__init__.py b/src/agents/realtime/__init__.py new file mode 100644 index 000000000..7f99ac8a8 --- /dev/null +++ b/src/agents/realtime/__init__.py @@ -0,0 +1,3 @@ +from .agent import RealtimeAgent, RealtimeAgentHooks, RealtimeRunHooks + +__all__ = ["RealtimeAgent", "RealtimeAgentHooks", "RealtimeRunHooks"] diff --git a/src/agents/realtime/agent.py b/src/agents/realtime/agent.py new file mode 100644 index 000000000..416be9e73 --- /dev/null +++ b/src/agents/realtime/agent.py @@ -0,0 +1,110 @@ +from __future__ import annotations + +import asyncio +import dataclasses +import inspect +from collections.abc import Awaitable +from dataclasses import dataclass +from typing import Any, Callable, Generic, cast + +from ..agent import AgentBase +from ..lifecycle import AgentHooksBase, RunHooksBase +from ..logger import logger +from ..mcp import MCPUtil +from ..run_context import RunContextWrapper, TContext +from ..tool import FunctionTool, Tool +from ..util._types import MaybeAwaitable + +RealtimeAgentHooks = AgentHooksBase[TContext, "RealtimeAgent[TContext]"] +"""Agent hooks for `RealtimeAgent`s.""" + +RealtimeRunHooks = RunHooksBase[TContext, "RealtimeAgent[TContext]"] +"""Run hooks for `RealtimeAgent`s.""" + + +@dataclass +class RealtimeAgent(AgentBase, Generic[TContext]): + """A specialized agent instance that is meant to be used within a `RealtimeSession` to build + voice agents. Due to the nature of this agent, some configuration options are not supported + that are supported by regular `Agent` instances. For example: + - `model` choice is not supported, as all RealtimeAgents will be handled by the same model + within a `RealtimeSession`. + - `modelSettings` is not supported, as all RealtimeAgents will be handled by the same model + within a `RealtimeSession`. + - `outputType` is not supported, as RealtimeAgents do not support structured outputs. + - `toolUseBehavior` is not supported, as all RealtimeAgents will be handled by the same model + within a `RealtimeSession`. + - `voice` can be configured on an `Agent` level; however, it cannot be changed after the first + agent within a `RealtimeSession` has spoken. + + See `AgentBase` for base parameters that are shared with `Agent`s. + """ + + instructions: ( + str + | Callable[ + [RunContextWrapper[TContext], RealtimeAgent[TContext]], + MaybeAwaitable[str], + ] + | None + ) = None + """The instructions for the agent. Will be used as the "system prompt" when this agent is + invoked. Describes what the agent should do, and how it responds. + + Can either be a string, or a function that dynamically generates instructions for the agent. If + you provide a function, it will be called with the context and the agent instance. It must + return a string. + """ + + hooks: RealtimeAgentHooks | None = None + """A class that receives callbacks on various lifecycle events for this agent. + """ + + def clone(self, **kwargs: Any) -> RealtimeAgent[TContext]: + """Make a copy of the agent, with the given arguments changed. For example, you could do: + ``` + new_agent = agent.clone(instructions="New instructions") + ``` + """ + return dataclasses.replace(self, **kwargs) + + async def get_system_prompt(self, run_context: RunContextWrapper[TContext]) -> str | None: + """Get the system prompt for the agent.""" + if isinstance(self.instructions, str): + return self.instructions + elif callable(self.instructions): + if inspect.iscoroutinefunction(self.instructions): + return await cast(Awaitable[str], self.instructions(run_context, self)) + else: + return cast(str, self.instructions(run_context, self)) + elif self.instructions is not None: + logger.error(f"Instructions must be a string or a function, got {self.instructions}") + + return None + + async def get_mcp_tools(self, run_context: RunContextWrapper[TContext]) -> list[Tool]: + """Fetches the available tools from the MCP servers.""" + convert_schemas_to_strict = self.mcp_config.get("convert_schemas_to_strict", False) + return await MCPUtil.get_all_function_tools( + self.mcp_servers, convert_schemas_to_strict, run_context, self + ) + + async def get_all_tools(self, run_context: RunContextWrapper[Any]) -> list[Tool]: + """All agent tools, including MCP tools and function tools.""" + mcp_tools = await self.get_mcp_tools(run_context) + + async def _check_tool_enabled(tool: Tool) -> bool: + if not isinstance(tool, FunctionTool): + return True + + attr = tool.is_enabled + if isinstance(attr, bool): + return attr + res = attr(run_context, self) + if inspect.isawaitable(res): + return bool(await res) + return bool(res) + + results = await asyncio.gather(*(_check_tool_enabled(t) for t in self.tools)) + enabled: list[Tool] = [t for t, ok in zip(self.tools, results) if ok] + return [*mcp_tools, *enabled] diff --git a/tests/realtime/__init__.py b/tests/realtime/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/tests/realtime/test_agent.py b/tests/realtime/test_agent.py new file mode 100644 index 000000000..1e50a2584 --- /dev/null +++ b/tests/realtime/test_agent.py @@ -0,0 +1,25 @@ +import pytest + +from agents import RunContextWrapper +from agents.realtime import RealtimeAgent + + +def test_can_initialize_realtime_agent(): + agent = RealtimeAgent(name="test", instructions="Hello") + assert agent.name == "test" + assert agent.instructions == "Hello" + + +@pytest.mark.asyncio +async def test_dynamic_instructions(): + agent = RealtimeAgent(name="test") + assert agent.instructions is None + + def _instructions(ctx, agt) -> str: + assert ctx.context is None + assert agt == agent + return "Dynamic" + + agent = RealtimeAgent(name="test", instructions=_instructions) + instructions = await agent.get_system_prompt(RunContextWrapper(context=None)) + assert instructions == "Dynamic" From 3cdbf3b9ed2200e0aa6f2198a171ecd0d1953511 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 9 Jul 2025 15:12:39 -0400 Subject: [PATCH 144/337] wip --- src/agents/agent.py | 54 +-- src/agents/model_settings.py | 14 +- src/agents/realtime/config.py | 69 ++++ src/agents/realtime/events.py | 209 ++++++++++++ src/agents/realtime/items.py | 95 ++++++ src/agents/realtime/session.py | 431 ++++++++++++++++++++++++ src/agents/realtime/transport.py | 144 ++++++++ src/agents/realtime/transport_events.py | 62 ++++ 8 files changed, 1045 insertions(+), 33 deletions(-) create mode 100644 src/agents/realtime/config.py create mode 100644 src/agents/realtime/events.py create mode 100644 src/agents/realtime/items.py create mode 100644 src/agents/realtime/session.py create mode 100644 src/agents/realtime/transport.py create mode 100644 src/agents/realtime/transport_events.py diff --git a/src/agents/agent.py b/src/agents/agent.py index b855e03b4..cf5e687e2 100644 --- a/src/agents/agent.py +++ b/src/agents/agent.py @@ -94,6 +94,33 @@ class AgentBase: mcp_config: MCPConfig = field(default_factory=lambda: MCPConfig()) """Configuration for MCP servers.""" + async def get_mcp_tools(self, run_context: RunContextWrapper[TContext]) -> list[Tool]: + """Fetches the available tools from the MCP servers.""" + convert_schemas_to_strict = self.mcp_config.get("convert_schemas_to_strict", False) + return await MCPUtil.get_all_function_tools( + self.mcp_servers, convert_schemas_to_strict, run_context, self + ) + + async def get_all_tools(self, run_context: RunContextWrapper[Any]) -> list[Tool]: + """All agent tools, including MCP tools and function tools.""" + mcp_tools = await self.get_mcp_tools(run_context) + + async def _check_tool_enabled(tool: Tool) -> bool: + if not isinstance(tool, FunctionTool): + return True + + attr = tool.is_enabled + if isinstance(attr, bool): + return attr + res = attr(run_context, self) + if inspect.isawaitable(res): + return bool(await res) + return bool(res) + + results = await asyncio.gather(*(_check_tool_enabled(t) for t in self.tools)) + enabled: list[Tool] = [t for t, ok in zip(self.tools, results) if ok] + return [*mcp_tools, *enabled] + @dataclass class Agent(AgentBase, Generic[TContext]): @@ -262,30 +289,3 @@ async def get_prompt( ) -> ResponsePromptParam | None: """Get the prompt for the agent.""" return await PromptUtil.to_model_input(self.prompt, run_context, self) - - async def get_mcp_tools(self, run_context: RunContextWrapper[TContext]) -> list[Tool]: - """Fetches the available tools from the MCP servers.""" - convert_schemas_to_strict = self.mcp_config.get("convert_schemas_to_strict", False) - return await MCPUtil.get_all_function_tools( - self.mcp_servers, convert_schemas_to_strict, run_context, self - ) - - async def get_all_tools(self, run_context: RunContextWrapper[Any]) -> list[Tool]: - """All agent tools, including MCP tools and function tools.""" - mcp_tools = await self.get_mcp_tools(run_context) - - async def _check_tool_enabled(tool: Tool) -> bool: - if not isinstance(tool, FunctionTool): - return True - - attr = tool.is_enabled - if isinstance(attr, bool): - return attr - res = attr(run_context, self) - if inspect.isawaitable(res): - return bool(await res) - return bool(res) - - results = await asyncio.gather(*(_check_tool_enabled(t) for t in self.tools)) - enabled: list[Tool] = [t for t, ok in zip(self.tools, results) if ok] - return [*mcp_tools, *enabled] diff --git a/src/agents/model_settings.py b/src/agents/model_settings.py index 26af94ba3..e22e6e8a0 100644 --- a/src/agents/model_settings.py +++ b/src/agents/model_settings.py @@ -17,9 +17,9 @@ class _OmitTypeAnnotation: @classmethod def __get_pydantic_core_schema__( - cls, - _source_type: Any, - _handler: GetCoreSchemaHandler, + cls, + _source_type: Any, + _handler: GetCoreSchemaHandler, ) -> core_schema.CoreSchema: def validate_from_none(value: None) -> _Omit: return _Omit() @@ -39,12 +39,14 @@ def validate_from_none(value: None) -> _Omit: from_none_schema, ] ), - serialization=core_schema.plain_serializer_function_ser_schema( - lambda instance: None - ), + serialization=core_schema.plain_serializer_function_ser_schema(lambda instance: None), ) + + Omit = Annotated[_Omit, _OmitTypeAnnotation] Headers: TypeAlias = Mapping[str, Union[str, Omit]] +ToolChoice: TypeAlias = Literal["auto", "required", "none"] | str | None + @dataclass class ModelSettings: diff --git a/src/agents/realtime/config.py b/src/agents/realtime/config.py new file mode 100644 index 000000000..8925a4fdf --- /dev/null +++ b/src/agents/realtime/config.py @@ -0,0 +1,69 @@ +from __future__ import annotations + +from typing import ( + Literal, + Union, +) + +from typing_extensions import NotRequired, TypeAlias, TypedDict + +from ..model_settings import ToolChoice +from ..tool import FunctionTool + + +class RealtimeClientMessage(TypedDict, total=False): + type: str # explicitly required + # All additional keys are permitted because total=False + + +class UserInputText(TypedDict): + type: Literal["input_text"] + text: str + + +class RealtimeUserInputMessage(TypedDict): + type: Literal["message"] + role: Literal["user"] + content: list[UserInputText] + + +RealtimeUserInput: TypeAlias = Union[str, RealtimeUserInputMessage] + + +RealtimeAudioFormat: TypeAlias = Union[Literal["pcm16", "g711_ulaw", "g711_alaw"], str] + + +class RealtimeInputAudioTranscriptionConfig(TypedDict, total=False): + language: NotRequired[str] + model: NotRequired[Literal["gpt-4o-transcribe", "gpt-4o-mini-transcribe", "whisper-1"] | str] + prompt: NotRequired[str] + + +class RealtimeTurnDetectionConfig(TypedDict, total=False): + """Turn detection config. Allows extra vendor keys if needed.""" + + type: NotRequired[Literal["semantic_vad", "server_vad"]] + create_response: NotRequired[bool] + eagerness: NotRequired[Literal["auto", "low", "medium", "high"]] + interrupt_response: NotRequired[bool] + prefix_padding_ms: NotRequired[int] + silence_duration_ms: NotRequired[int] + threshold: NotRequired[float] + + +class RealtimeSessionConfig(TypedDict): + model: NotRequired[str] + instructions: NotRequired[str] + modalities: NotRequired[list[Literal["text", "audio"]]] + voice: NotRequired[str] + + input_audio_format: NotRequired[RealtimeAudioFormat] + output_audio_format: NotRequired[RealtimeAudioFormat] + input_audio_transcription: NotRequired[RealtimeInputAudioTranscriptionConfig] + turn_detection: NotRequired[RealtimeTurnDetectionConfig] + + tool_choice: NotRequired[ToolChoice] + tools: NotRequired[list[FunctionTool]] + + # TODO (rm) Add tracing support + # tracing: NotRequired[RealtimeTracingConfig | None] diff --git a/src/agents/realtime/events.py b/src/agents/realtime/events.py new file mode 100644 index 000000000..d90e95017 --- /dev/null +++ b/src/agents/realtime/events.py @@ -0,0 +1,209 @@ +from dataclasses import dataclass +from typing import Literal, Union + +from typing_extensions import TypeAlias + +from ..run import RunContextWrapper +from ..tool import Tool +from .agent import RealtimeAgent +from .items import RealtimeItem +from .transport_events import RealtimeTransportAudioEvent, RealtimeTransportEvent + + +@dataclass +class RealtimeEventInfo: + context: RunContextWrapper + """The context for the event.""" + + +@dataclass +class RealtimeAgentStartEvent: + """A new agent has started.""" + + type: Literal["agent_start"] = "agent_start" + + agent: RealtimeAgent + """The new agent.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + +@dataclass +class RealtimeAgentEndEvent: + """An agent has ended.""" + + type: Literal["agent_end"] = "agent_end" + + agent: RealtimeAgent + """The agent that ended.""" + + output: str + """The output of the agent.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + +@dataclass +class RealtimeHandoffEvent: + """An agent has handed off to another agent.""" + + type: Literal["handoff"] = "handoff" + + from_agent: RealtimeAgent + """The agent that handed off.""" + + to_agent: RealtimeAgent + """The agent that was handed off to.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + +@dataclass +class RealtimeToolStart: + """An agent is starting a tool call.""" + + type: Literal["tool_start"] = "tool_start" + + agent: RealtimeAgent + """The agent that updated.""" + + tool: Tool + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + +@dataclass +class RealtimeToolEnd: + """An agent has ended a tool call.""" + + type: Literal["tool_end"] = "tool_end" + + agent: RealtimeAgent + """The agent that ended the tool call.""" + + tool: Tool + """The tool that was called.""" + + output: str + """The output of the tool call.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + +@dataclass +class RealtimeRawTransportEvent: + """Forwards raw events from the transport layer.""" + + type: Literal["raw_transport_event"] = "raw_transport_event" + + data: RealtimeTransportEvent + """The raw data from the transport layer.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + +@dataclass +class RealtimeAudioStart: + """Triggered when the agent starts generating audio.""" + + type: Literal["audio_start"] = "audio_start" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + +@dataclass +class RealtimeAudioEnd: + """Triggered when the agent stops generating audio.""" + + type: Literal["audio_end"] = "audio_end" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + +@dataclass +class RealtimeAudio: + """Triggered when the agent generates new audio to be played.""" + + type: Literal["audio"] = "audio" + + audio: RealtimeTransportAudioEvent + """The audio event from the transport layer.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + +@dataclass +class RealtimeAudioInterrupted: + """Triggered when the agent is interrupted. Can be listened to by the user to stop audio playback + or give visual indicators to the user. + """ + + type: Literal["audio_interrupted"] = "audio_interrupted" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + +@dataclass +class RealtimeError: + """An error has occurred.""" + + type: Literal["error"] = "error" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + +@dataclass +class RealtimeHistoryUpdated: + """The history has been updated. Contains the full history of the session.""" + + type: Literal["history_updated"] = "history_updated" + + history: list[RealtimeItem] + """The full history of the session.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + +@dataclass +class RealtimeHistoryAdded: + """A new item has been added to the history.""" + + type: Literal["history_added"] = "history_added" + + item: RealtimeItem + """The new item that was added to the history.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + +# TODO (rm) Add guardrails + +RealtimeSessionEvent: TypeAlias = Union[ + RealtimeAgentStartEvent, + RealtimeAgentEndEvent, + RealtimeHandoffEvent, + RealtimeToolStart, + RealtimeToolEnd, + RealtimeRawTransportEvent, + RealtimeAudioStart, + RealtimeAudioEnd, + RealtimeAudio, + RealtimeAudioInterrupted, + RealtimeError, + RealtimeHistoryUpdated, + RealtimeHistoryAdded, +] +"""An event emitted by the realtime session.""" diff --git a/src/agents/realtime/items.py b/src/agents/realtime/items.py new file mode 100644 index 000000000..c52a9270c --- /dev/null +++ b/src/agents/realtime/items.py @@ -0,0 +1,95 @@ +from __future__ import annotations + +from typing import Annotated, Literal, Union + +from pydantic import BaseModel, ConfigDict, Field + + +class InputText(BaseModel): + type: Literal["input_text"] = "input_text" + text: str + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class InputAudio(BaseModel): + type: Literal["input_audio"] = "input_audio" + audio: str | None = None + transcript: str | None = None + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class AssistantText(BaseModel): + type: Literal["text"] = "text" + text: str + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class AssistantAudio(BaseModel): + type: Literal["audio"] = "audio" + audio: str | None = None + transcript: str | None = None + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class SystemMessageItem(BaseModel): + item_id: str + previous_item_id: str | None = None + type: Literal["message"] = "message" + role: Literal["system"] = "system" + content: list[InputText] + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class UserMessageItem(BaseModel): + item_id: str + previous_item_id: str | None = None + type: Literal["message"] = "message" + role: Literal["user"] = "user" + content: list[InputText | InputAudio] + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class AssistantMessageItem(BaseModel): + item_id: str + previous_item_id: str | None = None + type: Literal["message"] = "message" + role: Literal["assistant"] = "assistant" + status: Literal["in_progress", "completed", "incomplete"] + content: list[AssistantText | AssistantAudio] + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +RealtimeMessageItem = Annotated[ + Union[SystemMessageItem, UserMessageItem, AssistantMessageItem], + Field(discriminator="role"), +] + + +class RealtimeToolCallItem(BaseModel): + item_id: str + previous_item_id: str | None = None + type: Literal["function_call"] = "function_call" + status: Literal["in_progress", "completed"] + arguments: str + name: str + output: str | None = None + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +RealtimeItem = RealtimeMessageItem | RealtimeToolCallItem diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py new file mode 100644 index 000000000..aaef26203 --- /dev/null +++ b/src/agents/realtime/session.py @@ -0,0 +1,431 @@ +"""Minimal realtime session implementation for voice agents.""" + +from __future__ import annotations + +import abc +import asyncio +from collections.abc import Awaitable +from typing import Any, Callable, Literal + +from typing_extensions import TypeAlias + +from agents.realtime.events import RealtimeSessionEvent + +from ..run import RunContextWrapper +from ..tool import Tool +from .agent import RealtimeAgent +from .config import RealtimeSessionConfig +from .items import RealtimeItem +from .transport import ( + APIKeyOrKeyFunc, + OpenAIRealtimeWebSocketTransport, + RealtimeModelName, + RealtimeSessionTransport, +) + + +class RealtimeSessionListener(abc.ABC): + """A listener for realtime session events.""" + + @abc.abstractmethod + async def on_event(self, event: RealtimeSessionEvent) -> None: + """Called when an event is emitted by the realtime session.""" + pass + + +RealtimeSessionListenerFunc: TypeAlias = Callable[[RealtimeSessionEvent], Awaitable[None]] +"""A function that can be used as a listener for realtime session events.""" + + +class _RealtimeFuncListener(RealtimeSessionListener): + """A listener that wraps a function.""" + + def __init__(self, func: RealtimeSessionListenerFunc) -> None: + self._func = func + + async def on_event(self, event: RealtimeSessionEvent) -> None: + """Call the wrapped function with the event.""" + await self._func(event) + + +class RealtimeSession: + """A `RealtimeSession` is the equivalent of `Runner` for realtime agents. It automatically + handles multiple turns by maintaining a persistent connection with the underlying transport + layer. + + The session manages the local history copy, executes tools, runs guardrails and facilitates + handoffs between agents. + + Since this code runs on your server, it uses WebSockets by default. You can optionally create + your own custom transport layer by implementing the `RealtimeSessionTransport` interface. + """ + + def __init__( + self, + starting_agent: RealtimeAgent, + *, + context: Any | None = None, + transport: Literal["websocket"] | RealtimeSessionTransport = "websocket", + api_key: APIKeyOrKeyFunc | None = None, + model: RealtimeModelName | None = None, + config: RealtimeSessionConfig | None = None, + # TODO (rm) Add guardrail support + # TODO (rm) Add tracing support + # TODO (rm) Add history audio story config + ) -> None: + """Initialize the realtime session. + + Args: + starting_agent: The agent to start the session with. + context: The context to use for the session. + transport: The transport to use for the session. Defaults to using websockets. + api_key: The API key to use for the session. + model: The model to use. Must be a realtime model. + config: Override parameters to use. + """ + self._current_agent = starting_agent + self._context_wrapper = RunContextWrapper(context) + self._override_config = config + self._history: list[RealtimeItem] = [] + + if transport == "websocket": + self._transport = OpenAIRealtimeWebSocketTransport() + else: + self._transport = transport + + self._current_tools: list[Tool] = [] + self._listeners: list[RealtimeSessionListener] = [] + + async def __aenter__(self) -> RealtimeSession: + """Async context manager entry.""" + await self.start() + return self + + async def __aexit__(self, _exc_type: Any, _exc_val: Any, _exc_tb: Any) -> None: + """Async context manager exit.""" + await self.end() + + async def start(self) -> None: + """Start the session: connect to the model and start the connection.""" + config = await self.create_session_config( + overrides=self._override_config, + ) + + await self._transport.connect(config) + + async def end(self) -> None: + """End the session: disconnect from the model and close the connection.""" + pass + + async def add_listener( + self, listener: RealtimeSessionListener | RealtimeSessionListenerFunc + ) -> None: + """Add a listener to the session.""" + if isinstance(listener, RealtimeSessionListener): + self._listeners.append(listener) + else: + self._listeners.append(_RealtimeFuncListener(listener)) + + async def remove_listener( + self, listener: RealtimeSessionListener | RealtimeSessionListenerFunc + ) -> None: + """Remove a listener from the session.""" + if isinstance(listener, RealtimeSessionListener): + self._listeners.remove(listener) + else: + for x in self._listeners: + if isinstance(x, _RealtimeFuncListener) and x._func == listener: + self._listeners.remove(x) + break + + async def create_session_config( + self, overrides: RealtimeSessionConfig | None = None + ) -> RealtimeSessionConfig: + """Create the session config.""" + agent = self._current_agent + instructions, tools = await asyncio.gather( + agent.get_system_prompt(self._context_wrapper), + agent.get_all_tools(self._context_wrapper), + ) + config = RealtimeSessionConfig( + model=self._model, + instructions=instructions, + tools=tools, + ) + + if overrides: + config.update(overrides) + + return config + + +# class RealtimeSessionConfig(TypedDict): +# """Configuration for realtime session.""" + +# instructions: NotRequired[str] +# model: NotRequired[str] +# voice: NotRequired[str] +# modalities: NotRequired[list[str]] +# input_audio_format: NotRequired[str] +# output_audio_format: NotRequired[str] +# input_audio_transcription: NotRequired[dict[str, Any]] +# turn_detection: NotRequired[dict[str, Any]] +# tool_choice: NotRequired[str] +# tools: NotRequired[list[dict[str, Any]]] + + +# class RealtimeSessionOptions(TypedDict, Generic[TContext]): +# """Options for creating a realtime session.""" + +# api_key: str | Callable[[], MaybeAwaitable[str]] +# transport: NotRequired[str] +# model: NotRequired[str] +# context: NotRequired[TContext] +# config: NotRequired[RealtimeSessionConfig] +# history_store_audio: NotRequired[bool] +# tracing_disabled: NotRequired[bool] +# group_id: NotRequired[str] +# trace_metadata: NotRequired[dict[str, Any]] +# workflow_name: NotRequired[str] + + +# class RealtimeConnectOptions(TypedDict): +# """Options for connecting to realtime API.""" + +# api_key: str | Callable[[], str | MaybeAwaitable[str]] +# model: NotRequired[str] +# url: NotRequired[str] + + +# class RealtimeItem(TypedDict): +# """A realtime conversation item.""" + +# item_id: str +# type: str +# role: NotRequired[str] +# content: NotRequired[list[dict[str, Any]]] +# status: NotRequired[str] + + +# class RealtimeContextData(TypedDict, Generic[TContext]): +# """Context data for realtime session.""" + +# history: list[RealtimeItem] + + +# class RealtimeSession(Generic[TContext]): +# """ +# A minimal realtime session for building voice agents. + +# This is a simplified Python implementation inspired by the JavaScript version, +# focusing on core functionality without tracing, guardrails, or hooks. +# """ + +# def __init__( +# self, +# initial_agent: RealtimeAgent[TContext] | RealtimeAgent[RealtimeContextData[TContext]], +# options: RealtimeSessionOptions[TContext] | None = None, +# ) -> None: +# """Initialize the realtime session.""" +# self._initial_agent = initial_agent +# self._options = options or cast(RealtimeSessionOptions[TContext], {}) +# self._current_agent = initial_agent +# self._history: list[RealtimeItem] = [] +# self._connected = False +# self._status = "disconnected" + +# # Validate required options +# if "api_key" not in self._options: +# raise ValueError("api_key is required in options") + +# @property +# def status(self) -> str: +# """Get the current connection status.""" +# return self._status + +# @property +# def history(self) -> list[RealtimeItem]: +# """Get the current conversation history.""" +# return self._history.copy() + +# @property +# def current_agent( +# self, +# ) -> RealtimeAgent[TContext] | RealtimeAgent[RealtimeContextData[TContext]]: +# """Get the current active agent.""" +# return self._current_agent + +# async def connect(self, options: RealtimeConnectOptions | None = None) -> None: +# """ +# Connect to the realtime API. + +# Args: +# options: Connection options. If not provided, uses session options. +# """ +# if self._connected: +# logger.warning("Session is already connected") +# return + +# connect_opts: RealtimeConnectOptions = options or cast(RealtimeConnectOptions, {}) +# api_key = connect_opts.get("api_key") or self._options.get("api_key") + +# if not api_key: +# raise ValueError("api_key is required for connection") + +# # Resolve API key if it's a function +# if callable(api_key): +# resolved_key = api_key() +# if hasattr(resolved_key, "__await__"): +# resolved_key = await resolved_key +# api_key = resolved_key + +# self._status = "connecting" + +# try: +# # In a full implementation, this would establish the actual connection +# # For now, we'll simulate a successful connection +# await asyncio.sleep(0.1) # Simulate connection delay + +# self._connected = True +# self._status = "connected" +# logger.info("Realtime session connected successfully") + +# except Exception as e: +# self._status = "disconnected" +# logger.error(f"Failed to connect to realtime API: {e}") +# raise + +# async def disconnect(self) -> None: +# """Disconnect from the realtime API.""" +# if not self._connected: +# return + +# self._status = "disconnecting" + +# try: +# # In a full implementation, this would close the actual connection +# await asyncio.sleep(0.1) # Simulate disconnection delay + +# self._connected = False +# self._status = "disconnected" +# logger.info("Realtime session disconnected") + +# except Exception as e: +# logger.error(f"Error during disconnect: {e}") +# self._status = "disconnected" + +# async def send_message(self, message: str, **_kwargs: Any) -> None: +# """ +# Send a text message to the realtime API. + +# Args: +# message: The text message to send +# **kwargs: Additional message options +# """ +# if not self._connected: +# raise RuntimeError("Session is not connected") + +# # Create a message item +# item: RealtimeItem = { +# "item_id": f"msg_{len(self._history)}", +# "type": "message", +# "role": "user", +# "content": [{"type": "input_text", "text": message}], +# "status": "completed", +# } + +# # Add to history +# self._history.append(item) + +# logger.debug(f"Sent message: {message}") + +# # In a full implementation, this would send to the actual API +# # and handle the response + +# async def send_audio(self, audio_data: bytes, commit: bool = False) -> None: +# """ +# Send audio data to the realtime API. + +# Args: +# audio_data: The audio data to send +# commit: Whether to commit the audio and trigger processing +# """ +# if not self._connected: +# raise RuntimeError("Session is not connected") + +# logger.debug(f"Sent audio data: {len(audio_data)} bytes, commit={commit}") + +# # In a full implementation, this would send audio to the actual API + +# async def handoff_to_agent(self, agent: RealtimeAgent[TContext]) -> None: +# """ +# Hand off the conversation to a different agent. + +# Args: +# agent: The agent to hand off to +# """ +# if not self._connected: +# raise RuntimeError("Session is not connected") + +# old_agent = self._current_agent +# self._current_agent = agent + +# logger.info(f"Handed off from {old_agent.name} to {agent.name}") + +# # In a full implementation, this would update the session configuration +# # with the new agent's instructions and tools + +# async def get_tools(self) -> list[Tool]: +# """Get all available tools for the current agent.""" +# if hasattr(self._current_agent, "get_all_tools"): +# # Create a minimal run context +# context_data = cast(RealtimeContextData[TContext], {"history": self._history}) +# run_context = RunContextWrapper(context_data) +# return await self._current_agent.get_all_tools(run_context) +# return [] + +# async def interrupt(self) -> None: +# """Interrupt the current response.""" +# if not self._connected: +# return + +# logger.debug("Interrupting current response") + +# # In a full implementation, this would send an interrupt signal + +# def update_session_config(self, config: RealtimeSessionConfig) -> None: +# """ +# Update the session configuration. + +# Args: +# config: The new configuration options +# """ +# if not self._connected: +# raise RuntimeError("Session is not connected") + +# logger.debug(f"Updating session config: {config}") + +# # In a full implementation, this would send the config to the API + +# def mute(self, muted: bool) -> None: +# """ +# Mute or unmute the input audio. + +# Args: +# muted: Whether to mute the input +# """ +# if not self._connected: +# return + +# logger.debug(f"Setting mute to: {muted}") + +# # In a full implementation, this would control the audio input + +# async def __aenter__(self) -> RealtimeSession[TContext]: +# """Async context manager entry.""" +# await self.connect() +# return self + +# async def __aexit__(self, _exc_type: Any, _exc_val: Any, _exc_tb: Any) -> None: +# """Async context manager exit.""" +# await self.disconnect() diff --git a/src/agents/realtime/transport.py b/src/agents/realtime/transport.py new file mode 100644 index 000000000..0b7e7e455 --- /dev/null +++ b/src/agents/realtime/transport.py @@ -0,0 +1,144 @@ +import abc +from typing import Any, Callable, Literal, TypedDict, Union + +from typing_extensions import TypeAlias + +from ..util._types import MaybeAwaitable +from .config import RealtimeClientMessage, RealtimeSessionConfig, RealtimeUserInput +from .items import RealtimeItem +from .transport_events import TransportToolCallEvent + +APIKeyOrKeyFunc = str | Callable[[], MaybeAwaitable[str]] +"""Either an API key or a function that returns an API key.""" + +RealtimeModelName: TypeAlias = Union[ + Literal[ + "gpt-4o-realtime-preview", + "gpt-4o-mini-realtime-preview", + "gpt-4o-realtime-preview-2025-06-03", + "gpt-4o-realtime-preview-2024-12-17", + "gpt-4o-realtime-preview-2024-10-01", + "gpt-4o-mini-realtime-preview-2024-12-17", + ], + str, +] +"""The name of a realtime model.""" + + +class RealtimeTransportConnectionOptions(TypedDict): + """Options for connecting to a realtime transport.""" + + api_key: APIKeyOrKeyFunc | None = None + """The API key to use for the transport. If unset, the transport will attempt to use the + `OPENAI_API_KEY` environment variable. + """ + + model: str | None = None + """The model to use.""" + + url: str | None = None + """The URL to use for the transport. If unset, the transport will use the default OpenAI + WebSocket URL. + """ + + initial_session_config: RealtimeSessionConfig | None = None + + +class RealtimeSessionTransport(abc.ABC): + """A transport layer for realtime sessions.""" + + @abc.abstractmethod + async def connect(self, options: RealtimeTransportConnectionOptions) -> None: + """Establish a connection to the model and keep it alive.""" + pass + + @abc.abstractmethod + async def send_event(self, event: RealtimeClientMessage) -> None: + """Send an event to the model.""" + pass + + @abc.abstractmethod + async def send_message( + self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None + ) -> None: + """Send a message to the model.""" + pass + + @abc.abstractmethod + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Send a raw audio chunk to the model. + + Args: + audio: The audio data to send. + commit: Whether to commit the audio buffer to the model. If the model does not do turn + detection, this can be used to indicate the turn is completed. + """ + pass + + @abc.abstractmethod + async def send_tool_output( + self, tool_call: TransportToolCallEvent, output: str, start_response: bool + ) -> None: + """Send tool output to the model.""" + pass + + @abc.abstractmethod + async def update_session_config(self, config: RealtimeSessionConfig) -> None: + """Update the session config.""" + pass + + @abc.abstractmethod + async def interrupt(self) -> None: + """Interrupt the model. For example, could be triggered by a guardrail.""" + pass + + @abc.abstractmethod + async def reset_history( + self, old_history: list[RealtimeItem], new_history: list[RealtimeItem] + ) -> None: + """Reset the history of the session.""" + pass + + @abc.abstractmethod + async def close(self) -> None: + """Close the session.""" + pass + + +class OpenAIRealtimeWebSocketTransport(RealtimeSessionTransport): + """A transport layer for realtime sessions that uses OpenAI's WebSocket API.""" + + def __init__(self, api_key: str) -> None: + self.api_key = api_key + + async def connect(self, options: RealtimeTransportConnectionOptions) -> None: + """Establish a connection to the model and keep it alive.""" + pass + + async def send_event(self, event: RealtimeClientMessage) -> None: + """Send an event to the model.""" + pass + + async def send_message( + self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None + ) -> None: + """Send a message to the model.""" + pass + + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Send a raw audio chunk to the model. + + Args: + audio: The audio data to send. + commit: Whether to commit the audio buffer to the model. If the model does not do turn + detection, this can be used to indicate the turn is completed. + """ + pass + + async def update_session_config(self, config: RealtimeSessionConfig) -> None: + """Update the session config.""" + pass + + async def close(self) -> None: + """Close the session.""" + pass diff --git a/src/agents/realtime/transport_events.py b/src/agents/realtime/transport_events.py new file mode 100644 index 000000000..67648aa79 --- /dev/null +++ b/src/agents/realtime/transport_events.py @@ -0,0 +1,62 @@ +from __future__ import annotations + +from typing import Any, Literal, TypeAlias, Union + +from typing_extensions import NotRequired, TypedDict + + +class RealtimeTransportError(TypedDict): + """Represents a transport‑layer error.""" + + type: Literal["error"] + error: Any + + +class RealtimeTransportToolCallEvent(TypedDict): + """Model attempted a tool/function call.""" + + type: Literal["function_call"] + name: str + call_id: str + arguments: str + + id: NotRequired[str] + previous_item_id: NotRequired[str] + + +class RealtimeTransportAudioEvent(TypedDict): + """Raw audio bytes emitted by the model.""" + + type: Literal["audio"] + data: bytes + response_id: str + + +class RealtimeTransportAudioTranscriptionCompletedEvent(TypedDict): + """Finalised user‑audio transcript.""" + + type: Literal["conversation.item.input_audio_transcription.completed"] + item_id: str + transcript: str + + +class RealtimeTransportTranscriptDelta(TypedDict): + """Partial transcript update.""" + + type: Literal["transcript_delta"] + item_id: str + delta: str + response_id: str + + +RealtimeTransportLayerResponseCompleted: TypeAlias = protocol.StreamEventResponseCompleted +RealtimeTransportLayerResponseStarted: TypeAlias = protocol.StreamEventResponseStarted + +RealtimeConnectionStatus: TypeAlias = Literal["connecting", "connected", "disconnected"] + +RealtimeTransportEvent: TypeAlias = Union[ + RealtimeTransportError, + RealtimeTransportToolCallEvent, + RealtimeTransportAudioTranscriptionCompletedEvent, + dict[str, Any], # fallback for other event payloads +] From adc81222519f2a8506798296cd0d863516f0db7e Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 9 Jul 2025 15:12:39 -0400 Subject: [PATCH 145/337] wip --- src/agents/agent.py | 54 ++-- src/agents/model_settings.py | 14 +- src/agents/realtime/__init__.py | 50 +++- src/agents/realtime/agent.py | 30 --- src/agents/realtime/config.py | 90 +++++++ src/agents/realtime/events.py | 198 +++++++++++++++ src/agents/realtime/items.py | 100 ++++++++ src/agents/realtime/session.py | 317 ++++++++++++++++++++++++ src/agents/realtime/transport.py | 120 +++++++++ src/agents/realtime/transport_events.py | 148 +++++++++++ 10 files changed, 1057 insertions(+), 64 deletions(-) create mode 100644 src/agents/realtime/config.py create mode 100644 src/agents/realtime/events.py create mode 100644 src/agents/realtime/items.py create mode 100644 src/agents/realtime/session.py create mode 100644 src/agents/realtime/transport.py create mode 100644 src/agents/realtime/transport_events.py diff --git a/src/agents/agent.py b/src/agents/agent.py index b855e03b4..cf5e687e2 100644 --- a/src/agents/agent.py +++ b/src/agents/agent.py @@ -94,6 +94,33 @@ class AgentBase: mcp_config: MCPConfig = field(default_factory=lambda: MCPConfig()) """Configuration for MCP servers.""" + async def get_mcp_tools(self, run_context: RunContextWrapper[TContext]) -> list[Tool]: + """Fetches the available tools from the MCP servers.""" + convert_schemas_to_strict = self.mcp_config.get("convert_schemas_to_strict", False) + return await MCPUtil.get_all_function_tools( + self.mcp_servers, convert_schemas_to_strict, run_context, self + ) + + async def get_all_tools(self, run_context: RunContextWrapper[Any]) -> list[Tool]: + """All agent tools, including MCP tools and function tools.""" + mcp_tools = await self.get_mcp_tools(run_context) + + async def _check_tool_enabled(tool: Tool) -> bool: + if not isinstance(tool, FunctionTool): + return True + + attr = tool.is_enabled + if isinstance(attr, bool): + return attr + res = attr(run_context, self) + if inspect.isawaitable(res): + return bool(await res) + return bool(res) + + results = await asyncio.gather(*(_check_tool_enabled(t) for t in self.tools)) + enabled: list[Tool] = [t for t, ok in zip(self.tools, results) if ok] + return [*mcp_tools, *enabled] + @dataclass class Agent(AgentBase, Generic[TContext]): @@ -262,30 +289,3 @@ async def get_prompt( ) -> ResponsePromptParam | None: """Get the prompt for the agent.""" return await PromptUtil.to_model_input(self.prompt, run_context, self) - - async def get_mcp_tools(self, run_context: RunContextWrapper[TContext]) -> list[Tool]: - """Fetches the available tools from the MCP servers.""" - convert_schemas_to_strict = self.mcp_config.get("convert_schemas_to_strict", False) - return await MCPUtil.get_all_function_tools( - self.mcp_servers, convert_schemas_to_strict, run_context, self - ) - - async def get_all_tools(self, run_context: RunContextWrapper[Any]) -> list[Tool]: - """All agent tools, including MCP tools and function tools.""" - mcp_tools = await self.get_mcp_tools(run_context) - - async def _check_tool_enabled(tool: Tool) -> bool: - if not isinstance(tool, FunctionTool): - return True - - attr = tool.is_enabled - if isinstance(attr, bool): - return attr - res = attr(run_context, self) - if inspect.isawaitable(res): - return bool(await res) - return bool(res) - - results = await asyncio.gather(*(_check_tool_enabled(t) for t in self.tools)) - enabled: list[Tool] = [t for t, ok in zip(self.tools, results) if ok] - return [*mcp_tools, *enabled] diff --git a/src/agents/model_settings.py b/src/agents/model_settings.py index 26af94ba3..e22e6e8a0 100644 --- a/src/agents/model_settings.py +++ b/src/agents/model_settings.py @@ -17,9 +17,9 @@ class _OmitTypeAnnotation: @classmethod def __get_pydantic_core_schema__( - cls, - _source_type: Any, - _handler: GetCoreSchemaHandler, + cls, + _source_type: Any, + _handler: GetCoreSchemaHandler, ) -> core_schema.CoreSchema: def validate_from_none(value: None) -> _Omit: return _Omit() @@ -39,12 +39,14 @@ def validate_from_none(value: None) -> _Omit: from_none_schema, ] ), - serialization=core_schema.plain_serializer_function_ser_schema( - lambda instance: None - ), + serialization=core_schema.plain_serializer_function_ser_schema(lambda instance: None), ) + + Omit = Annotated[_Omit, _OmitTypeAnnotation] Headers: TypeAlias = Mapping[str, Union[str, Omit]] +ToolChoice: TypeAlias = Literal["auto", "required", "none"] | str | None + @dataclass class ModelSettings: diff --git a/src/agents/realtime/__init__.py b/src/agents/realtime/__init__.py index 7f99ac8a8..7e5d4932a 100644 --- a/src/agents/realtime/__init__.py +++ b/src/agents/realtime/__init__.py @@ -1,3 +1,51 @@ from .agent import RealtimeAgent, RealtimeAgentHooks, RealtimeRunHooks +from .config import APIKeyOrKeyFunc +from .events import ( + RealtimeAgentEndEvent, + RealtimeAgentStartEvent, + RealtimeAudio, + RealtimeAudioEnd, + RealtimeAudioInterrupted, + RealtimeError, + RealtimeHandoffEvent, + RealtimeHistoryAdded, + RealtimeHistoryUpdated, + RealtimeRawTransportEvent, + RealtimeSessionEvent, + RealtimeToolEnd, + RealtimeToolStart, +) +from .session import RealtimeSession +from .transport import ( + RealtimeModelName, + RealtimeSessionTransport, + RealtimeTransportConnectionOptions, + RealtimeTransportListener, +) -__all__ = ["RealtimeAgent", "RealtimeAgentHooks", "RealtimeRunHooks"] +__all__ = [ + "RealtimeAgent", + "RealtimeAgentHooks", + "RealtimeRunHooks", + "RealtimeSession", + "RealtimeSessionListener", + "RealtimeSessionListenerFunc", + "APIKeyOrKeyFunc", + "RealtimeModelName", + "RealtimeSessionTransport", + "RealtimeTransportListener", + "RealtimeTransportConnectionOptions", + "RealtimeSessionEvent", + "RealtimeAgentStartEvent", + "RealtimeAgentEndEvent", + "RealtimeHandoffEvent", + "RealtimeToolStart", + "RealtimeToolEnd", + "RealtimeRawTransportEvent", + "RealtimeAudioEnd", + "RealtimeAudio", + "RealtimeAudioInterrupted", + "RealtimeError", + "RealtimeHistoryUpdated", + "RealtimeHistoryAdded", +] diff --git a/src/agents/realtime/agent.py b/src/agents/realtime/agent.py index 416be9e73..9bbed8cb4 100644 --- a/src/agents/realtime/agent.py +++ b/src/agents/realtime/agent.py @@ -1,6 +1,5 @@ from __future__ import annotations -import asyncio import dataclasses import inspect from collections.abc import Awaitable @@ -10,9 +9,7 @@ from ..agent import AgentBase from ..lifecycle import AgentHooksBase, RunHooksBase from ..logger import logger -from ..mcp import MCPUtil from ..run_context import RunContextWrapper, TContext -from ..tool import FunctionTool, Tool from ..util._types import MaybeAwaitable RealtimeAgentHooks = AgentHooksBase[TContext, "RealtimeAgent[TContext]"] @@ -81,30 +78,3 @@ async def get_system_prompt(self, run_context: RunContextWrapper[TContext]) -> s logger.error(f"Instructions must be a string or a function, got {self.instructions}") return None - - async def get_mcp_tools(self, run_context: RunContextWrapper[TContext]) -> list[Tool]: - """Fetches the available tools from the MCP servers.""" - convert_schemas_to_strict = self.mcp_config.get("convert_schemas_to_strict", False) - return await MCPUtil.get_all_function_tools( - self.mcp_servers, convert_schemas_to_strict, run_context, self - ) - - async def get_all_tools(self, run_context: RunContextWrapper[Any]) -> list[Tool]: - """All agent tools, including MCP tools and function tools.""" - mcp_tools = await self.get_mcp_tools(run_context) - - async def _check_tool_enabled(tool: Tool) -> bool: - if not isinstance(tool, FunctionTool): - return True - - attr = tool.is_enabled - if isinstance(attr, bool): - return attr - res = attr(run_context, self) - if inspect.isawaitable(res): - return bool(await res) - return bool(res) - - results = await asyncio.gather(*(_check_tool_enabled(t) for t in self.tools)) - enabled: list[Tool] = [t for t, ok in zip(self.tools, results) if ok] - return [*mcp_tools, *enabled] diff --git a/src/agents/realtime/config.py b/src/agents/realtime/config.py new file mode 100644 index 000000000..86ce2566f --- /dev/null +++ b/src/agents/realtime/config.py @@ -0,0 +1,90 @@ +from __future__ import annotations + +import inspect +from typing import ( + Callable, + Literal, + Union, +) + +from typing_extensions import NotRequired, TypeAlias, TypedDict + +from ..model_settings import ToolChoice +from ..tool import FunctionTool +from ..util._types import MaybeAwaitable + + +class RealtimeClientMessage(TypedDict, total=False): + type: str # explicitly required + # All additional keys are permitted because total=False + + +class UserInputText(TypedDict): + type: Literal["input_text"] + text: str + + +class RealtimeUserInputMessage(TypedDict): + type: Literal["message"] + role: Literal["user"] + content: list[UserInputText] + + +RealtimeUserInput: TypeAlias = Union[str, RealtimeUserInputMessage] + + +RealtimeAudioFormat: TypeAlias = Union[Literal["pcm16", "g711_ulaw", "g711_alaw"], str] + + +class RealtimeInputAudioTranscriptionConfig(TypedDict, total=False): + language: NotRequired[str] + model: NotRequired[Literal["gpt-4o-transcribe", "gpt-4o-mini-transcribe", "whisper-1"] | str] + prompt: NotRequired[str] + + +class RealtimeTurnDetectionConfig(TypedDict, total=False): + """Turn detection config. Allows extra vendor keys if needed.""" + + type: NotRequired[Literal["semantic_vad", "server_vad"]] + create_response: NotRequired[bool] + eagerness: NotRequired[Literal["auto", "low", "medium", "high"]] + interrupt_response: NotRequired[bool] + prefix_padding_ms: NotRequired[int] + silence_duration_ms: NotRequired[int] + threshold: NotRequired[float] + + +class RealtimeSessionConfig(TypedDict): + api_key: NotRequired[APIKeyOrKeyFunc] + model: NotRequired[str] + instructions: NotRequired[str] + modalities: NotRequired[list[Literal["text", "audio"]]] + voice: NotRequired[str] + + input_audio_format: NotRequired[RealtimeAudioFormat] + output_audio_format: NotRequired[RealtimeAudioFormat] + input_audio_transcription: NotRequired[RealtimeInputAudioTranscriptionConfig] + turn_detection: NotRequired[RealtimeTurnDetectionConfig] + + tool_choice: NotRequired[ToolChoice] + tools: NotRequired[list[FunctionTool]] + + +APIKeyOrKeyFunc = str | Callable[[], MaybeAwaitable[str]] +"""Either an API key or a function that returns an API key.""" + + +async def get_api_key(key: APIKeyOrKeyFunc | None) -> str | None: + """Get the API key from the key or key function.""" + if key is None: + return None + elif isinstance(key, str): + return key + + result = key() + if inspect.isawaitable(result): + return await result + return result + + # TODO (rm) Add tracing support + # tracing: NotRequired[RealtimeTracingConfig | None] diff --git a/src/agents/realtime/events.py b/src/agents/realtime/events.py new file mode 100644 index 000000000..899442020 --- /dev/null +++ b/src/agents/realtime/events.py @@ -0,0 +1,198 @@ +from dataclasses import dataclass +from typing import Any, Literal, Union + +from typing_extensions import TypeAlias + +from ..run_context import RunContextWrapper +from ..tool import Tool +from .agent import RealtimeAgent +from .items import RealtimeItem +from .transport_events import RealtimeTransportAudioEvent, RealtimeTransportEvent + + +@dataclass +class RealtimeEventInfo: + context: RunContextWrapper + """The context for the event.""" + + +@dataclass +class RealtimeAgentStartEvent: + """A new agent has started.""" + + agent: RealtimeAgent + """The new agent.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["agent_start"] = "agent_start" + + +@dataclass +class RealtimeAgentEndEvent: + """An agent has ended.""" + + agent: RealtimeAgent + """The agent that ended.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["agent_end"] = "agent_end" + + +@dataclass +class RealtimeHandoffEvent: + """An agent has handed off to another agent.""" + + from_agent: RealtimeAgent + """The agent that handed off.""" + + to_agent: RealtimeAgent + """The agent that was handed off to.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["handoff"] = "handoff" + + +@dataclass +class RealtimeToolStart: + """An agent is starting a tool call.""" + + agent: RealtimeAgent + """The agent that updated.""" + + tool: Tool + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["tool_start"] = "tool_start" + + +@dataclass +class RealtimeToolEnd: + """An agent has ended a tool call.""" + + agent: RealtimeAgent + """The agent that ended the tool call.""" + + tool: Tool + """The tool that was called.""" + + output: str + """The output of the tool call.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["tool_end"] = "tool_end" + + +@dataclass +class RealtimeRawTransportEvent: + """Forwards raw events from the transport layer.""" + + data: RealtimeTransportEvent + """The raw data from the transport layer.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["raw_transport_event"] = "raw_transport_event" + + +@dataclass +class RealtimeAudioEnd: + """Triggered when the agent stops generating audio.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["audio_end"] = "audio_end" + + +@dataclass +class RealtimeAudio: + """Triggered when the agent generates new audio to be played.""" + + audio: RealtimeTransportAudioEvent + """The audio event from the transport layer.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["audio"] = "audio" + + +@dataclass +class RealtimeAudioInterrupted: + """Triggered when the agent is interrupted. Can be listened to by the user to stop audio + playback or give visual indicators to the user. + """ + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["audio_interrupted"] = "audio_interrupted" + + +@dataclass +class RealtimeError: + """An error has occurred.""" + + error: Any + """The error that occurred.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["error"] = "error" + + +@dataclass +class RealtimeHistoryUpdated: + """The history has been updated. Contains the full history of the session.""" + + history: list[RealtimeItem] + """The full history of the session.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["history_updated"] = "history_updated" + + +@dataclass +class RealtimeHistoryAdded: + """A new item has been added to the history.""" + + item: RealtimeItem + """The new item that was added to the history.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["history_added"] = "history_added" + + +# TODO (rm) Add guardrails + +RealtimeSessionEvent: TypeAlias = Union[ + RealtimeAgentStartEvent, + RealtimeAgentEndEvent, + RealtimeHandoffEvent, + RealtimeToolStart, + RealtimeToolEnd, + RealtimeRawTransportEvent, + RealtimeAudioEnd, + RealtimeAudio, + RealtimeAudioInterrupted, + RealtimeError, + RealtimeHistoryUpdated, + RealtimeHistoryAdded, +] +"""An event emitted by the realtime session.""" diff --git a/src/agents/realtime/items.py b/src/agents/realtime/items.py new file mode 100644 index 000000000..117a35a02 --- /dev/null +++ b/src/agents/realtime/items.py @@ -0,0 +1,100 @@ +from __future__ import annotations + +from typing import Annotated, Literal, Union + +from pydantic import BaseModel, ConfigDict, Field + + +class InputText(BaseModel): + type: Literal["input_text"] = "input_text" + text: str + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class InputAudio(BaseModel): + type: Literal["input_audio"] = "input_audio" + audio: str | None = None + transcript: str | None = None + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class AssistantText(BaseModel): + type: Literal["text"] = "text" + text: str + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class AssistantAudio(BaseModel): + type: Literal["audio"] = "audio" + audio: str | None = None + transcript: str | None = None + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class SystemMessageItem(BaseModel): + item_id: str + previous_item_id: str | None = None + type: Literal["message"] = "message" + role: Literal["system"] = "system" + content: list[InputText] + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class UserMessageItem(BaseModel): + item_id: str + previous_item_id: str | None = None + type: Literal["message"] = "message" + role: Literal["user"] = "user" + content: list[InputText | InputAudio] + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class AssistantMessageItem(BaseModel): + item_id: str + previous_item_id: str | None = None + type: Literal["message"] = "message" + role: Literal["assistant"] = "assistant" + status: Literal["in_progress", "completed", "incomplete"] | None = None + content: list[AssistantText | AssistantAudio] + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +RealtimeMessageItem = Annotated[ + Union[SystemMessageItem, UserMessageItem, AssistantMessageItem], + Field(discriminator="role"), +] + + +class RealtimeToolCallItem(BaseModel): + item_id: str + previous_item_id: str | None = None + type: Literal["function_call"] = "function_call" + status: Literal["in_progress", "completed"] + arguments: str + name: str + output: str | None = None + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +RealtimeItem = RealtimeMessageItem | RealtimeToolCallItem + + +class RealtimeResponse(BaseModel): + id: str + output: list[RealtimeMessageItem] diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py new file mode 100644 index 000000000..e0dbc7db7 --- /dev/null +++ b/src/agents/realtime/session.py @@ -0,0 +1,317 @@ +"""Minimal realtime session implementation for voice agents.""" + +from __future__ import annotations + +import abc +import asyncio +from collections.abc import Awaitable +from typing import Any, Callable, Literal + +from typing_extensions import TypeAlias, assert_never + +from ..run_context import RunContextWrapper +from ..tool import FunctionTool, Tool +from .agent import RealtimeAgent +from .config import APIKeyOrKeyFunc, RealtimeSessionConfig +from .events import ( + RealtimeAgentEndEvent, # noqa: F401 + RealtimeAgentStartEvent, + RealtimeAudio, # noqa: F401 + RealtimeAudioEnd, # noqa: F401 + RealtimeAudioInterrupted, # noqa: F401 + RealtimeError, + RealtimeEventInfo, + RealtimeHandoffEvent, # noqa: F401 + RealtimeHistoryAdded, + RealtimeHistoryUpdated, + RealtimeRawTransportEvent, # noqa: F401 + RealtimeSessionEvent, + RealtimeToolEnd, # noqa: F401 + RealtimeToolStart, # noqa: F401 +) +from .items import InputAudio, InputText, RealtimeItem +from .openai_realtime import OpenAIRealtimeWebSocketTransport +from .transport import ( + RealtimeModelName, + RealtimeSessionTransport, + RealtimeTransportConnectionOptions, + RealtimeTransportListener, +) +from .transport_events import ( + RealtimeTransportEvent, + RealtimeTransportInputAudioTranscriptionCompletedEvent, +) + + +class RealtimeSessionListener(abc.ABC): + """A listener for realtime session events.""" + + @abc.abstractmethod + async def on_event(self, event: RealtimeSessionEvent) -> None: + """Called when an event is emitted by the realtime session.""" + pass + + +RealtimeSessionListenerFunc: TypeAlias = Callable[[RealtimeSessionEvent], Awaitable[None]] +"""A function that can be used as a listener for realtime session events.""" + + +class _RealtimeFuncListener(RealtimeSessionListener): + """A listener that wraps a function.""" + + def __init__(self, func: RealtimeSessionListenerFunc) -> None: + self._func = func + + async def on_event(self, event: RealtimeSessionEvent) -> None: + """Call the wrapped function with the event.""" + await self._func(event) + + +class RealtimeSession(RealtimeTransportListener): + """A `RealtimeSession` is the equivalent of `Runner` for realtime agents. It automatically + handles multiple turns by maintaining a persistent connection with the underlying transport + layer. + + The session manages the local history copy, executes tools, runs guardrails and facilitates + handoffs between agents. + + Since this code runs on your server, it uses WebSockets by default. You can optionally create + your own custom transport layer by implementing the `RealtimeSessionTransport` interface. + """ + + def __init__( + self, + starting_agent: RealtimeAgent, + *, + context: Any | None = None, + transport: Literal["websocket"] | RealtimeSessionTransport = "websocket", + api_key: APIKeyOrKeyFunc | None = None, + model: RealtimeModelName | None = None, + config: RealtimeSessionConfig | None = None, + # TODO (rm) Add guardrail support + # TODO (rm) Add tracing support + # TODO (rm) Add history audio story config + ) -> None: + """Initialize the realtime session. + + Args: + starting_agent: The agent to start the session with. + context: The context to use for the session. + transport: The transport to use for the session. Defaults to using websockets. + api_key: The API key to use for the session. + model: The model to use. Must be a realtime model. + config: Override parameters to use. + """ + self._current_agent = starting_agent + self._context_wrapper = RunContextWrapper(context) + self._event_info = RealtimeEventInfo(context=self._context_wrapper) + self._override_config = config + self._history: list[RealtimeItem] = [] + self._model = model + self._api_key = api_key + + if transport == "websocket": + self._transport: RealtimeSessionTransport = OpenAIRealtimeWebSocketTransport() + else: + self._transport = transport + + self._current_tools: list[Tool] = [] + self._listeners: list[RealtimeSessionListener] = [] + + async def __aenter__(self) -> RealtimeSession: + """Async context manager entry.""" + await self.start() + return self + + async def __aexit__(self, _exc_type: Any, _exc_val: Any, _exc_tb: Any) -> None: + """Async context manager exit.""" + await self.end() + + async def start(self) -> None: + """Start the session: connect to the model and start the connection.""" + self._transport.add_listener(self) + + config = await self.create_session_config( + overrides=self._override_config, + ) + + options: RealtimeTransportConnectionOptions = { + "initial_session_config": config, + } + + if config.get("api_key") is not None: + options["api_key"] = config["api_key"] + elif self._api_key is not None: + options["api_key"] = self._api_key + + if config.get("model") is not None: + options["model"] = config["model"] + elif self._model is not None: + options["model"] = self._model + + await self._transport.connect(options) + + await self._emit_event( + RealtimeHistoryUpdated( + history=self._history, + info=self._event_info, + ) + ) + + async def _emit_event(self, event: RealtimeSessionEvent) -> None: + """Emit an event to the listeners.""" + await asyncio.gather(*[listener.on_event(event) for listener in self._listeners]) + + async def end(self) -> None: + """End the session: disconnect from the model and close the connection.""" + pass + + def add_listener(self, listener: RealtimeSessionListener | RealtimeSessionListenerFunc) -> None: + """Add a listener to the session.""" + if isinstance(listener, RealtimeSessionListener): + self._listeners.append(listener) + else: + self._listeners.append(_RealtimeFuncListener(listener)) + + def remove_listener( + self, listener: RealtimeSessionListener | RealtimeSessionListenerFunc + ) -> None: + """Remove a listener from the session.""" + if isinstance(listener, RealtimeSessionListener): + self._listeners.remove(listener) + else: + for x in self._listeners: + if isinstance(x, _RealtimeFuncListener) and x._func == listener: + self._listeners.remove(x) + break + + async def create_session_config( + self, overrides: RealtimeSessionConfig | None = None + ) -> RealtimeSessionConfig: + """Create the session config.""" + agent = self._current_agent + instructions, tools = await asyncio.gather( + agent.get_system_prompt(self._context_wrapper), + agent.get_all_tools(self._context_wrapper), + ) + config = RealtimeSessionConfig() + + if self._model is not None: + config["model"] = self._model + if instructions is not None: + config["instructions"] = instructions + if tools is not None: + config["tools"] = [tool for tool in tools if isinstance(tool, FunctionTool)] + + if overrides: + config.update(overrides) + + return config + + async def on_event(self, event: RealtimeTransportEvent) -> None: + """Called when an event is emitted by the realtime transport.""" + await self._emit_event(RealtimeRawTransportEvent(data=event, info=self._event_info)) + + if event.type == "error": + await self._emit_event(RealtimeError(info=self._event_info, error=event.error)) + elif event.type == "function_call": + # TODO + pass + elif event.type == "audio": + await self._emit_event(RealtimeAudio(info=self._event_info, audio=event)) + elif event.type == "audio_interrupted": + await self._emit_event(RealtimeAudioInterrupted(info=self._event_info)) + elif event.type == "audio_done": + await self._emit_event(RealtimeAudioEnd(info=self._event_info)) + elif event.type == "conversation.item.input_audio_transcription.completed": + self._history = self._get_new_history(self._history, event) + await self._emit_event( + RealtimeHistoryUpdated(info=self._event_info, history=self._history) + ) + elif event.type == "transcript_delta": + # TODO (rm) Add guardrails + pass + elif event.type == "item_added": + is_new = any(item.item_id == event.item.item_id for item in self._history) + self._history = self._get_new_history(self._history, event.item) + if is_new: + new_item = next( + item for item in self._history if item.item_id == event.item.item_id + ) + await self._emit_event(RealtimeHistoryAdded(info=self._event_info, item=new_item)) + else: + await self._emit_event( + RealtimeHistoryUpdated(info=self._event_info, history=self._history) + ) + pass + elif event.type == "item_deleted": + pass + elif event.type == "connection_status": + pass + elif event.type == "turn_started": + await self._emit_event( + RealtimeAgentStartEvent( + agent=self._current_agent, + info=self._event_info, + ) + ) + elif event.type == "turn_ended": + await self._emit_event( + RealtimeAgentEndEvent( + agent=self._current_agent, + info=self._event_info, + ) + ) + elif event.type == "other": + pass + else: + assert_never(event) + + def _get_new_history( + self, + old_history: list[RealtimeItem], + event: RealtimeTransportInputAudioTranscriptionCompletedEvent | RealtimeItem, + ) -> list[RealtimeItem]: + # Merge transcript into placeholder input_audio message. + if isinstance(event, RealtimeTransportInputAudioTranscriptionCompletedEvent): + new_history: list[RealtimeItem] = [] + for item in old_history: + if item.item_id == event.item_id and item.type == "message" and item.role == "user": + content: list[InputText | InputAudio] = [] + for entry in item.content: + if entry.type == "input_audio": + copied_entry = entry.model_copy(update={"transcript": event.transcript}) + content.append(copied_entry) + else: + content.append(entry) # type: ignore + new_history.append( + item.model_copy(update={"content": content, "status": "completed"}) + ) + else: + new_history.append(item) + return new_history + + # Otherwise it's just a new item + # TODO (rm) Add support for audio storage config + + # If the item already exists, update it + existing_index = next( + (i for i, item in enumerate(old_history) if item.item_id == event.item_id), None + ) + if existing_index is not None: + new_history = old_history.copy() + new_history[existing_index] = event + return new_history + # Otherwise, insert it after the previous_item_id if that is set + elif item.previous_item_id: + # Insert the new item after the previous item + previous_index = next( + (i for i, item in enumerate(old_history) if item.item_id == event.previous_item_id), + None, + ) + if previous_index is not None: + new_history = old_history.copy() + new_history.insert(previous_index + 1, event) + return new_history + # Otherwise, add it to the end + return old_history + [event] diff --git a/src/agents/realtime/transport.py b/src/agents/realtime/transport.py new file mode 100644 index 000000000..df59b6b7e --- /dev/null +++ b/src/agents/realtime/transport.py @@ -0,0 +1,120 @@ +import abc +from typing import Any, Literal, Union + +from typing_extensions import NotRequired, TypeAlias, TypedDict + +from .config import APIKeyOrKeyFunc, RealtimeClientMessage, RealtimeSessionConfig, RealtimeUserInput +from .items import RealtimeItem +from .transport_events import RealtimeTransportEvent, RealtimeTransportToolCallEvent + +RealtimeModelName: TypeAlias = Union[ + Literal[ + "gpt-4o-realtime-preview", + "gpt-4o-mini-realtime-preview", + "gpt-4o-realtime-preview-2025-06-03", + "gpt-4o-realtime-preview-2024-12-17", + "gpt-4o-realtime-preview-2024-10-01", + "gpt-4o-mini-realtime-preview-2024-12-17", + ], + str, +] +"""The name of a realtime model.""" + + +class RealtimeTransportListener(abc.ABC): + """A listener for realtime transport events.""" + + @abc.abstractmethod + async def on_event(self, event: RealtimeTransportEvent) -> None: + """Called when an event is emitted by the realtime transport.""" + pass + + +class RealtimeTransportConnectionOptions(TypedDict): + """Options for connecting to a realtime transport.""" + + api_key: NotRequired[APIKeyOrKeyFunc] + """The API key to use for the transport. If unset, the transport will attempt to use the + `OPENAI_API_KEY` environment variable. + """ + + model: NotRequired[str] + """The model to use.""" + + url: NotRequired[str] + """The URL to use for the transport. If unset, the transport will use the default OpenAI + WebSocket URL. + """ + + initial_session_config: NotRequired[RealtimeSessionConfig] + + +class RealtimeSessionTransport(abc.ABC): + """A transport layer for realtime sessions.""" + + @abc.abstractmethod + async def connect(self, options: RealtimeTransportConnectionOptions) -> None: + """Establish a connection to the model and keep it alive.""" + pass + + @abc.abstractmethod + def add_listener(self, listener: RealtimeTransportListener) -> None: + """Add a listener to the transport.""" + pass + + @abc.abstractmethod + async def remove_listener(self, listener: RealtimeTransportListener) -> None: + """Remove a listener from the transport.""" + pass + + @abc.abstractmethod + async def send_event(self, event: RealtimeClientMessage) -> None: + """Send an event to the model.""" + pass + + @abc.abstractmethod + async def send_message( + self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None + ) -> None: + """Send a message to the model.""" + pass + + @abc.abstractmethod + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Send a raw audio chunk to the model. + + Args: + audio: The audio data to send. + commit: Whether to commit the audio buffer to the model. If the model does not do turn + detection, this can be used to indicate the turn is completed. + """ + pass + + @abc.abstractmethod + async def send_tool_output( + self, tool_call: RealtimeTransportToolCallEvent, output: str, start_response: bool + ) -> None: + """Send tool output to the model.""" + pass + + @abc.abstractmethod + async def update_session_config(self, config: RealtimeSessionConfig) -> None: + """Update the session config.""" + pass + + @abc.abstractmethod + async def interrupt(self) -> None: + """Interrupt the model. For example, could be triggered by a guardrail.""" + pass + + @abc.abstractmethod + async def reset_history( + self, old_history: list[RealtimeItem], new_history: list[RealtimeItem] + ) -> None: + """Reset the history of the session.""" + pass + + @abc.abstractmethod + async def close(self) -> None: + """Close the session.""" + pass diff --git a/src/agents/realtime/transport_events.py b/src/agents/realtime/transport_events.py new file mode 100644 index 000000000..1f7c2f84d --- /dev/null +++ b/src/agents/realtime/transport_events.py @@ -0,0 +1,148 @@ +from __future__ import annotations + +from dataclasses import dataclass +from typing import Any, Literal, TypeAlias, Union + +from .items import RealtimeItem + +RealtimeConnectionStatus: TypeAlias = Literal["connecting", "connected", "disconnected"] + + +@dataclass +class RealtimeTransportErrorEvent: + """Represents a transport‑layer error.""" + + error: Any + + type: Literal["error"] = "error" + + +@dataclass +class RealtimeTransportToolCallEvent: + """Model attempted a tool/function call.""" + + name: str + call_id: str + arguments: str + + id: str | None = None + previous_item_id: str | None = None + + type: Literal["function_call"] = "function_call" + + +@dataclass +class RealtimeTransportAudioEvent: + """Raw audio bytes emitted by the model.""" + + data: bytes + response_id: str + + type: Literal["audio"] = "audio" + + +@dataclass +class RealtimeTransportAudioInterruptedEvent: + """Audio interrupted.""" + + type: Literal["audio_interrupted"] = "audio_interrupted" + + +@dataclass +class RealtimeTransportAudioDoneEvent: + """Audio done.""" + + type: Literal["audio_done"] = "audio_done" + + +@dataclass +class RealtimeTransportInputAudioTranscriptionCompletedEvent: + """Input audio transcription completed.""" + + item_id: str + transcript: str + + type: Literal["conversation.item.input_audio_transcription.completed"] = ( + "conversation.item.input_audio_transcription.completed" + ) + + +@dataclass +class RealtimeTransportTranscriptDelta: + """Partial transcript update.""" + + item_id: str + delta: str + response_id: str + + type: Literal["transcript_delta"] = "transcript_delta" + + +@dataclass +class RealtimeTransportItemAddedEvent: + """Item added to the history or updated.""" + + item: RealtimeItem + + type: Literal["item_added"] = "item_added" + + +@dataclass +class RealtimeTransportItemDeletedEvent: + """Item deleted from the history.""" + + item: RealtimeItem + + type: Literal["item_deleted"] = "item_deleted" + + +@dataclass +class RealtimeTransportConnectionStatusEvent: + """Connection status changed.""" + + status: RealtimeConnectionStatus + + type: Literal["connection_status"] = "connection_status" + + +@dataclass +class RealtimeTransportTurnStartedEvent: + """Triggered when the model starts generating a response for a turn.""" + + type: Literal["turn_started"] = "turn_started" + + +@dataclass +class RealtimeTransportTurnEndedEvent: + """Triggered when the model finishes generating a response for a turn.""" + + type: Literal["turn_ended"] = "turn_ended" + + +@dataclass +class RealtimeTransportOtherEvent: + """Used as a catchall for vendor-specific events.""" + + data: Any + + type: Literal["other"] = "other" + + +# TODO (rm) Add usage events + + +RealtimeTransportEvent: TypeAlias = Union[ + RealtimeTransportErrorEvent, + RealtimeTransportToolCallEvent, + RealtimeTransportAudioEvent, + RealtimeTransportAudioInterruptedEvent, + RealtimeTransportAudioDoneEvent, + RealtimeTransportInputAudioTranscriptionCompletedEvent, + RealtimeTransportTranscriptDelta, + RealtimeTransportItemAddedEvent, + RealtimeTransportItemDeletedEvent, + RealtimeTransportConnectionStatusEvent, + RealtimeTransportTurnStartedEvent, + RealtimeTransportTurnEndedEvent, + RealtimeTransportOtherEvent, +] From 5e7942aaeb24cd2de1f377580e191a00c43a6432 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 9 Jul 2025 15:12:39 -0400 Subject: [PATCH 146/337] wip --- examples/realtime/demo.py | 90 ++++++ examples/realtime/ui.py | 221 ++++++++++++++ src/agents/agent.py | 54 ++-- src/agents/model_settings.py | 14 +- src/agents/realtime/__init__.py | 50 +++- src/agents/realtime/agent.py | 30 -- src/agents/realtime/config.py | 91 ++++++ src/agents/realtime/events.py | 198 +++++++++++++ src/agents/realtime/items.py | 100 +++++++ src/agents/realtime/openai_realtime.py | 345 ++++++++++++++++++++++ src/agents/realtime/session.py | 370 ++++++++++++++++++++++++ src/agents/realtime/transport.py | 107 +++++++ src/agents/realtime/transport_events.py | 148 ++++++++++ tests/realtime/test_transport_events.py | 12 + 14 files changed, 1766 insertions(+), 64 deletions(-) create mode 100644 examples/realtime/demo.py create mode 100644 examples/realtime/ui.py create mode 100644 src/agents/realtime/config.py create mode 100644 src/agents/realtime/events.py create mode 100644 src/agents/realtime/items.py create mode 100644 src/agents/realtime/openai_realtime.py create mode 100644 src/agents/realtime/session.py create mode 100644 src/agents/realtime/transport.py create mode 100644 src/agents/realtime/transport_events.py create mode 100644 tests/realtime/test_transport_events.py diff --git a/examples/realtime/demo.py b/examples/realtime/demo.py new file mode 100644 index 000000000..663784573 --- /dev/null +++ b/examples/realtime/demo.py @@ -0,0 +1,90 @@ +import asyncio +import base64 +import os +import sys +from typing import TYPE_CHECKING + +import numpy as np + +# Add the current directory to path so we can import ui +sys.path.append(os.path.dirname(os.path.abspath(__file__))) + +from agents import function_tool +from agents.realtime import RealtimeAgent, RealtimeSession, RealtimeSessionEvent + +if TYPE_CHECKING: + from .ui import AppUI +else: + # At runtime, try both import styles + try: + # Try relative import first (when used as a package) + from .ui import AppUI + except ImportError: + # Fall back to direct import (when run as a script) + from ui import AppUI + + +@function_tool +def get_weather(city: str) -> str: + """Get the weather in a city.""" + return f"The weather in {city} is sunny." + + +agent = RealtimeAgent( + name="Assistant", + instructions="You always greet the user with 'Top of the morning to you'.", + tools=[get_weather], +) + + +class Example: + def __init__(self) -> None: + self.session = RealtimeSession(agent) + self.ui = AppUI() + self.ui.connected = asyncio.Event() + self.ui.last_audio_item_id = None + # Set the audio callback + self.ui.set_audio_callback(self.on_audio_recorded) + + async def run(self) -> None: + self.session.add_listener(self.on_event) + await self.session.connect() + self.ui.set_is_connected(True) + await self.ui.run_async() + + async def on_audio_recorded(self, audio_bytes: bytes) -> None: + """Called when audio is recorded by the UI.""" + try: + # Send the audio to the session + await self.session.send_audio(audio_bytes) + except Exception as e: + self.ui.log_message(f"Error sending audio: {e}") + + async def on_event(self, event: RealtimeSessionEvent) -> None: + # Display event in the UI + try: + if event.type == "raw_transport_event" and event.data.type == "other": + # self.ui.log_message(f"{event.data}, {type(event.data.data)}") + if event.data.data["type"] == "response.audio.delta": + self.ui.log_message("audio deltas") + delta_b64_string = event.data.data["delta"] + delta_bytes = base64.b64decode(delta_b64_string) + audio_data = np.frombuffer(delta_bytes, dtype=np.int16) + self.ui.play_audio(audio_data) + + # Handle audio from model + if event.type == "audio": + try: + # Convert bytes to numpy array for audio player + audio_data = np.frombuffer(event.audio.data, dtype=np.int16) + self.ui.play_audio(audio_data) + except Exception as e: + self.ui.log_message(f"Audio play error: {e}") + except Exception: + # This can happen if the UI has already exited + pass + + +if __name__ == "__main__": + example = Example() + asyncio.run(example.run()) diff --git a/examples/realtime/ui.py b/examples/realtime/ui.py new file mode 100644 index 000000000..d619ae8e6 --- /dev/null +++ b/examples/realtime/ui.py @@ -0,0 +1,221 @@ +from __future__ import annotations + +import asyncio +from collections.abc import Coroutine +from typing import Any, Callable + +import numpy as np +import numpy.typing as npt +import sounddevice as sd +from textual import events +from textual.app import App, ComposeResult +from textual.containers import Container +from textual.reactive import reactive +from textual.widgets import RichLog, Static +from typing_extensions import override + +CHUNK_LENGTH_S = 0.05 # 50ms +SAMPLE_RATE = 24000 +FORMAT = np.int16 +CHANNELS = 1 + + +class Header(Static): + """A header widget.""" + + @override + def render(self) -> str: + return "Realtime Demo" + + +class AudioStatusIndicator(Static): + """A widget that shows the current audio recording status.""" + + is_recording = reactive(False) + + @override + def render(self) -> str: + status = ( + "🔴 Conversation started." + if self.is_recording + else "⚪ Press SPACE to start the conversation (q to quit)" + ) + return status + + +class AppUI(App[None]): + CSS = """ + Screen { + background: #1a1b26; /* Dark blue-grey background */ + } + + Container { + border: double rgb(91, 164, 91); + } + + #input-container { + height: 5; /* Explicit height for input container */ + margin: 1 1; + padding: 1 2; + } + + #bottom-pane { + width: 100%; + height: 82%; /* Reduced to make room for session display */ + border: round rgb(205, 133, 63); + content-align: center middle; + } + + #status-indicator { + height: 3; + content-align: center middle; + background: #2a2b36; + border: solid rgb(91, 164, 91); + margin: 1 1; + } + + #session-display { + height: 3; + content-align: center middle; + background: #2a2b36; + border: solid rgb(91, 164, 91); + margin: 1 1; + } + + Static { + color: white; + } + """ + + should_send_audio: asyncio.Event + connected: asyncio.Event + last_audio_item_id: str | None + audio_callback: Callable[[bytes], Coroutine[Any, Any, None]] | None + + def __init__(self) -> None: + super().__init__() + self.audio_player = sd.OutputStream( + samplerate=SAMPLE_RATE, + channels=CHANNELS, + dtype=FORMAT, + ) + self.should_send_audio = asyncio.Event() + self.connected = asyncio.Event() + self.audio_callback = None + + @override + def compose(self) -> ComposeResult: + """Create child widgets for the app.""" + with Container(): + yield Header(id="session-display") + yield AudioStatusIndicator(id="status-indicator") + yield RichLog(id="bottom-pane", wrap=True, highlight=True, markup=True) + + def set_is_connected(self, is_connected: bool) -> None: + self.connected.set() if is_connected else self.connected.clear() + + def set_audio_callback(self, callback: Callable[[bytes], Coroutine[Any, Any, None]]) -> None: + """Set a callback function to be called when audio is recorded.""" + self.audio_callback = callback + + # High-level methods for UI operations + def set_header_text(self, text: str) -> None: + """Update the header text.""" + header = self.query_one("#session-display", Header) + header.update(text) + + def set_recording_status(self, is_recording: bool) -> None: + """Set the recording status indicator.""" + status_indicator = self.query_one(AudioStatusIndicator) + status_indicator.is_recording = is_recording + + def log_message(self, message: str) -> None: + """Add a message to the log pane.""" + try: + bottom_pane = self.query_one("#bottom-pane", RichLog) + bottom_pane.write(message) + except Exception: + # Handle the case where the widget might not be available + pass + + def play_audio(self, audio_data: npt.NDArray[np.int16]) -> None: + """Play audio data through the audio player.""" + try: + self.audio_player.write(audio_data) + except Exception as e: + self.log_message(f"Audio play error: {e}") + + async def on_mount(self) -> None: + """Set up audio player and start the audio capture worker.""" + self.audio_player.start() + self.run_worker(self.capture_audio()) + + async def capture_audio(self) -> None: + """Capture audio from the microphone and send to the session.""" + # Wait for connection to be established + await self.connected.wait() + + self.log_message("Connected to agent. Press space to start the conversation") + + # Set up audio input stream + stream = sd.InputStream( + channels=CHANNELS, + samplerate=SAMPLE_RATE, + dtype=FORMAT, + ) + + try: + # Wait for user to press spacebar to start + await self.should_send_audio.wait() + + stream.start() + self.set_recording_status(True) + self.log_message("Recording started - speak to the agent") + + # Buffer size in samples + read_size = int(SAMPLE_RATE * CHUNK_LENGTH_S) + + while True: + # Check if there's enough data to read + if stream.read_available < read_size: + await asyncio.sleep(0.01) # Small sleep to avoid CPU hogging + continue + + # Read audio data + data, _ = stream.read(read_size) + + # Convert numpy array to bytes + audio_bytes = data.tobytes() + + # Call audio callback if set + if self.audio_callback: + try: + await self.audio_callback(audio_bytes) + except Exception as e: + self.log_message(f"Audio callback error: {e}") + + # Yield control back to event loop + await asyncio.sleep(0) + + except Exception as e: + self.log_message(f"Audio capture error: {e}") + finally: + if stream.active: + stream.stop() + stream.close() + + async def on_key(self, event: events.Key) -> None: + """Handle key press events.""" + # add the keypress to the log + self.log_message(f"Key pressed: {event.key}") + + if event.key == "q": + self.audio_player.stop() + self.audio_player.close() + self.exit() + return + + if event.key == "space": # Spacebar + if not self.should_send_audio.is_set(): + self.should_send_audio.set() + self.set_recording_status(True) diff --git a/src/agents/agent.py b/src/agents/agent.py index b855e03b4..cf5e687e2 100644 --- a/src/agents/agent.py +++ b/src/agents/agent.py @@ -94,6 +94,33 @@ class AgentBase: mcp_config: MCPConfig = field(default_factory=lambda: MCPConfig()) """Configuration for MCP servers.""" + async def get_mcp_tools(self, run_context: RunContextWrapper[TContext]) -> list[Tool]: + """Fetches the available tools from the MCP servers.""" + convert_schemas_to_strict = self.mcp_config.get("convert_schemas_to_strict", False) + return await MCPUtil.get_all_function_tools( + self.mcp_servers, convert_schemas_to_strict, run_context, self + ) + + async def get_all_tools(self, run_context: RunContextWrapper[Any]) -> list[Tool]: + """All agent tools, including MCP tools and function tools.""" + mcp_tools = await self.get_mcp_tools(run_context) + + async def _check_tool_enabled(tool: Tool) -> bool: + if not isinstance(tool, FunctionTool): + return True + + attr = tool.is_enabled + if isinstance(attr, bool): + return attr + res = attr(run_context, self) + if inspect.isawaitable(res): + return bool(await res) + return bool(res) + + results = await asyncio.gather(*(_check_tool_enabled(t) for t in self.tools)) + enabled: list[Tool] = [t for t, ok in zip(self.tools, results) if ok] + return [*mcp_tools, *enabled] + @dataclass class Agent(AgentBase, Generic[TContext]): @@ -262,30 +289,3 @@ async def get_prompt( ) -> ResponsePromptParam | None: """Get the prompt for the agent.""" return await PromptUtil.to_model_input(self.prompt, run_context, self) - - async def get_mcp_tools(self, run_context: RunContextWrapper[TContext]) -> list[Tool]: - """Fetches the available tools from the MCP servers.""" - convert_schemas_to_strict = self.mcp_config.get("convert_schemas_to_strict", False) - return await MCPUtil.get_all_function_tools( - self.mcp_servers, convert_schemas_to_strict, run_context, self - ) - - async def get_all_tools(self, run_context: RunContextWrapper[Any]) -> list[Tool]: - """All agent tools, including MCP tools and function tools.""" - mcp_tools = await self.get_mcp_tools(run_context) - - async def _check_tool_enabled(tool: Tool) -> bool: - if not isinstance(tool, FunctionTool): - return True - - attr = tool.is_enabled - if isinstance(attr, bool): - return attr - res = attr(run_context, self) - if inspect.isawaitable(res): - return bool(await res) - return bool(res) - - results = await asyncio.gather(*(_check_tool_enabled(t) for t in self.tools)) - enabled: list[Tool] = [t for t, ok in zip(self.tools, results) if ok] - return [*mcp_tools, *enabled] diff --git a/src/agents/model_settings.py b/src/agents/model_settings.py index 26af94ba3..e22e6e8a0 100644 --- a/src/agents/model_settings.py +++ b/src/agents/model_settings.py @@ -17,9 +17,9 @@ class _OmitTypeAnnotation: @classmethod def __get_pydantic_core_schema__( - cls, - _source_type: Any, - _handler: GetCoreSchemaHandler, + cls, + _source_type: Any, + _handler: GetCoreSchemaHandler, ) -> core_schema.CoreSchema: def validate_from_none(value: None) -> _Omit: return _Omit() @@ -39,12 +39,14 @@ def validate_from_none(value: None) -> _Omit: from_none_schema, ] ), - serialization=core_schema.plain_serializer_function_ser_schema( - lambda instance: None - ), + serialization=core_schema.plain_serializer_function_ser_schema(lambda instance: None), ) + + Omit = Annotated[_Omit, _OmitTypeAnnotation] Headers: TypeAlias = Mapping[str, Union[str, Omit]] +ToolChoice: TypeAlias = Literal["auto", "required", "none"] | str | None + @dataclass class ModelSettings: diff --git a/src/agents/realtime/__init__.py b/src/agents/realtime/__init__.py index 7f99ac8a8..7e5d4932a 100644 --- a/src/agents/realtime/__init__.py +++ b/src/agents/realtime/__init__.py @@ -1,3 +1,51 @@ from .agent import RealtimeAgent, RealtimeAgentHooks, RealtimeRunHooks +from .config import APIKeyOrKeyFunc +from .events import ( + RealtimeAgentEndEvent, + RealtimeAgentStartEvent, + RealtimeAudio, + RealtimeAudioEnd, + RealtimeAudioInterrupted, + RealtimeError, + RealtimeHandoffEvent, + RealtimeHistoryAdded, + RealtimeHistoryUpdated, + RealtimeRawTransportEvent, + RealtimeSessionEvent, + RealtimeToolEnd, + RealtimeToolStart, +) +from .session import RealtimeSession +from .transport import ( + RealtimeModelName, + RealtimeSessionTransport, + RealtimeTransportConnectionOptions, + RealtimeTransportListener, +) -__all__ = ["RealtimeAgent", "RealtimeAgentHooks", "RealtimeRunHooks"] +__all__ = [ + "RealtimeAgent", + "RealtimeAgentHooks", + "RealtimeRunHooks", + "RealtimeSession", + "RealtimeSessionListener", + "RealtimeSessionListenerFunc", + "APIKeyOrKeyFunc", + "RealtimeModelName", + "RealtimeSessionTransport", + "RealtimeTransportListener", + "RealtimeTransportConnectionOptions", + "RealtimeSessionEvent", + "RealtimeAgentStartEvent", + "RealtimeAgentEndEvent", + "RealtimeHandoffEvent", + "RealtimeToolStart", + "RealtimeToolEnd", + "RealtimeRawTransportEvent", + "RealtimeAudioEnd", + "RealtimeAudio", + "RealtimeAudioInterrupted", + "RealtimeError", + "RealtimeHistoryUpdated", + "RealtimeHistoryAdded", +] diff --git a/src/agents/realtime/agent.py b/src/agents/realtime/agent.py index 416be9e73..9bbed8cb4 100644 --- a/src/agents/realtime/agent.py +++ b/src/agents/realtime/agent.py @@ -1,6 +1,5 @@ from __future__ import annotations -import asyncio import dataclasses import inspect from collections.abc import Awaitable @@ -10,9 +9,7 @@ from ..agent import AgentBase from ..lifecycle import AgentHooksBase, RunHooksBase from ..logger import logger -from ..mcp import MCPUtil from ..run_context import RunContextWrapper, TContext -from ..tool import FunctionTool, Tool from ..util._types import MaybeAwaitable RealtimeAgentHooks = AgentHooksBase[TContext, "RealtimeAgent[TContext]"] @@ -81,30 +78,3 @@ async def get_system_prompt(self, run_context: RunContextWrapper[TContext]) -> s logger.error(f"Instructions must be a string or a function, got {self.instructions}") return None - - async def get_mcp_tools(self, run_context: RunContextWrapper[TContext]) -> list[Tool]: - """Fetches the available tools from the MCP servers.""" - convert_schemas_to_strict = self.mcp_config.get("convert_schemas_to_strict", False) - return await MCPUtil.get_all_function_tools( - self.mcp_servers, convert_schemas_to_strict, run_context, self - ) - - async def get_all_tools(self, run_context: RunContextWrapper[Any]) -> list[Tool]: - """All agent tools, including MCP tools and function tools.""" - mcp_tools = await self.get_mcp_tools(run_context) - - async def _check_tool_enabled(tool: Tool) -> bool: - if not isinstance(tool, FunctionTool): - return True - - attr = tool.is_enabled - if isinstance(attr, bool): - return attr - res = attr(run_context, self) - if inspect.isawaitable(res): - return bool(await res) - return bool(res) - - results = await asyncio.gather(*(_check_tool_enabled(t) for t in self.tools)) - enabled: list[Tool] = [t for t, ok in zip(self.tools, results) if ok] - return [*mcp_tools, *enabled] diff --git a/src/agents/realtime/config.py b/src/agents/realtime/config.py new file mode 100644 index 000000000..aa15c837d --- /dev/null +++ b/src/agents/realtime/config.py @@ -0,0 +1,91 @@ +from __future__ import annotations + +import inspect +from typing import ( + Any, + Callable, + Literal, + Union, +) + +from typing_extensions import NotRequired, TypeAlias, TypedDict + +from ..model_settings import ToolChoice +from ..tool import FunctionTool +from ..util._types import MaybeAwaitable + + +class RealtimeClientMessage(TypedDict): + type: str # explicitly required + other_data: NotRequired[dict[str, Any]] + + +class UserInputText(TypedDict): + type: Literal["input_text"] + text: str + + +class RealtimeUserInputMessage(TypedDict): + type: Literal["message"] + role: Literal["user"] + content: list[UserInputText] + + +RealtimeUserInput: TypeAlias = Union[str, RealtimeUserInputMessage] + + +RealtimeAudioFormat: TypeAlias = Union[Literal["pcm16", "g711_ulaw", "g711_alaw"], str] + + +class RealtimeInputAudioTranscriptionConfig(TypedDict): + language: NotRequired[str] + model: NotRequired[Literal["gpt-4o-transcribe", "gpt-4o-mini-transcribe", "whisper-1"] | str] + prompt: NotRequired[str] + + +class RealtimeTurnDetectionConfig(TypedDict): + """Turn detection config. Allows extra vendor keys if needed.""" + + type: NotRequired[Literal["semantic_vad", "server_vad"]] + create_response: NotRequired[bool] + eagerness: NotRequired[Literal["auto", "low", "medium", "high"]] + interrupt_response: NotRequired[bool] + prefix_padding_ms: NotRequired[int] + silence_duration_ms: NotRequired[int] + threshold: NotRequired[float] + + +class RealtimeSessionConfig(TypedDict): + api_key: NotRequired[APIKeyOrKeyFunc] + model: NotRequired[str] + instructions: NotRequired[str] + modalities: NotRequired[list[Literal["text", "audio"]]] + voice: NotRequired[str] + + input_audio_format: NotRequired[RealtimeAudioFormat] + output_audio_format: NotRequired[RealtimeAudioFormat] + input_audio_transcription: NotRequired[RealtimeInputAudioTranscriptionConfig] + turn_detection: NotRequired[RealtimeTurnDetectionConfig] + + tool_choice: NotRequired[ToolChoice] + tools: NotRequired[list[FunctionTool]] + + +APIKeyOrKeyFunc = str | Callable[[], MaybeAwaitable[str]] +"""Either an API key or a function that returns an API key.""" + + +async def get_api_key(key: APIKeyOrKeyFunc | None) -> str | None: + """Get the API key from the key or key function.""" + if key is None: + return None + elif isinstance(key, str): + return key + + result = key() + if inspect.isawaitable(result): + return await result + return result + + # TODO (rm) Add tracing support + # tracing: NotRequired[RealtimeTracingConfig | None] diff --git a/src/agents/realtime/events.py b/src/agents/realtime/events.py new file mode 100644 index 000000000..bd6b7b5b0 --- /dev/null +++ b/src/agents/realtime/events.py @@ -0,0 +1,198 @@ +from dataclasses import dataclass +from typing import Any, Literal, Union + +from typing_extensions import TypeAlias + +from ..run_context import RunContextWrapper +from ..tool import Tool +from .agent import RealtimeAgent +from .items import RealtimeItem +from .transport_events import RealtimeTransportAudioEvent, RealtimeTransportEvent + + +@dataclass +class RealtimeEventInfo: + context: RunContextWrapper + """The context for the event.""" + + +@dataclass +class RealtimeAgentStartEvent: + """A new agent has started.""" + + agent: RealtimeAgent + """The new agent.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["agent_start"] = "agent_start" + + +@dataclass +class RealtimeAgentEndEvent: + """An agent has ended.""" + + agent: RealtimeAgent + """The agent that ended.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["agent_end"] = "agent_end" + + +@dataclass +class RealtimeHandoffEvent: + """An agent has handed off to another agent.""" + + from_agent: RealtimeAgent + """The agent that handed off.""" + + to_agent: RealtimeAgent + """The agent that was handed off to.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["handoff"] = "handoff" + + +@dataclass +class RealtimeToolStart: + """An agent is starting a tool call.""" + + agent: RealtimeAgent + """The agent that updated.""" + + tool: Tool + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["tool_start"] = "tool_start" + + +@dataclass +class RealtimeToolEnd: + """An agent has ended a tool call.""" + + agent: RealtimeAgent + """The agent that ended the tool call.""" + + tool: Tool + """The tool that was called.""" + + output: Any + """The output of the tool call.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["tool_end"] = "tool_end" + + +@dataclass +class RealtimeRawTransportEvent: + """Forwards raw events from the transport layer.""" + + data: RealtimeTransportEvent + """The raw data from the transport layer.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["raw_transport_event"] = "raw_transport_event" + + +@dataclass +class RealtimeAudioEnd: + """Triggered when the agent stops generating audio.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["audio_end"] = "audio_end" + + +@dataclass +class RealtimeAudio: + """Triggered when the agent generates new audio to be played.""" + + audio: RealtimeTransportAudioEvent + """The audio event from the transport layer.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["audio"] = "audio" + + +@dataclass +class RealtimeAudioInterrupted: + """Triggered when the agent is interrupted. Can be listened to by the user to stop audio + playback or give visual indicators to the user. + """ + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["audio_interrupted"] = "audio_interrupted" + + +@dataclass +class RealtimeError: + """An error has occurred.""" + + error: Any + """The error that occurred.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["error"] = "error" + + +@dataclass +class RealtimeHistoryUpdated: + """The history has been updated. Contains the full history of the session.""" + + history: list[RealtimeItem] + """The full history of the session.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["history_updated"] = "history_updated" + + +@dataclass +class RealtimeHistoryAdded: + """A new item has been added to the history.""" + + item: RealtimeItem + """The new item that was added to the history.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["history_added"] = "history_added" + + +# TODO (rm) Add guardrails + +RealtimeSessionEvent: TypeAlias = Union[ + RealtimeAgentStartEvent, + RealtimeAgentEndEvent, + RealtimeHandoffEvent, + RealtimeToolStart, + RealtimeToolEnd, + RealtimeRawTransportEvent, + RealtimeAudioEnd, + RealtimeAudio, + RealtimeAudioInterrupted, + RealtimeError, + RealtimeHistoryUpdated, + RealtimeHistoryAdded, +] +"""An event emitted by the realtime session.""" diff --git a/src/agents/realtime/items.py b/src/agents/realtime/items.py new file mode 100644 index 000000000..117a35a02 --- /dev/null +++ b/src/agents/realtime/items.py @@ -0,0 +1,100 @@ +from __future__ import annotations + +from typing import Annotated, Literal, Union + +from pydantic import BaseModel, ConfigDict, Field + + +class InputText(BaseModel): + type: Literal["input_text"] = "input_text" + text: str + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class InputAudio(BaseModel): + type: Literal["input_audio"] = "input_audio" + audio: str | None = None + transcript: str | None = None + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class AssistantText(BaseModel): + type: Literal["text"] = "text" + text: str + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class AssistantAudio(BaseModel): + type: Literal["audio"] = "audio" + audio: str | None = None + transcript: str | None = None + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class SystemMessageItem(BaseModel): + item_id: str + previous_item_id: str | None = None + type: Literal["message"] = "message" + role: Literal["system"] = "system" + content: list[InputText] + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class UserMessageItem(BaseModel): + item_id: str + previous_item_id: str | None = None + type: Literal["message"] = "message" + role: Literal["user"] = "user" + content: list[InputText | InputAudio] + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class AssistantMessageItem(BaseModel): + item_id: str + previous_item_id: str | None = None + type: Literal["message"] = "message" + role: Literal["assistant"] = "assistant" + status: Literal["in_progress", "completed", "incomplete"] | None = None + content: list[AssistantText | AssistantAudio] + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +RealtimeMessageItem = Annotated[ + Union[SystemMessageItem, UserMessageItem, AssistantMessageItem], + Field(discriminator="role"), +] + + +class RealtimeToolCallItem(BaseModel): + item_id: str + previous_item_id: str | None = None + type: Literal["function_call"] = "function_call" + status: Literal["in_progress", "completed"] + arguments: str + name: str + output: str | None = None + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +RealtimeItem = RealtimeMessageItem | RealtimeToolCallItem + + +class RealtimeResponse(BaseModel): + id: str + output: list[RealtimeMessageItem] diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py new file mode 100644 index 000000000..fef9f5aae --- /dev/null +++ b/src/agents/realtime/openai_realtime.py @@ -0,0 +1,345 @@ +import asyncio +import base64 +import json +import os +from datetime import datetime +from typing import Any + +import websockets +from openai.types.beta.realtime.realtime_server_event import ( + RealtimeServerEvent as OpenAIRealtimeServerEvent, +) +from pydantic import TypeAdapter +from websockets.asyncio.client import ClientConnection + +from agents.realtime.items import RealtimeMessageItem, RealtimeToolCallItem + +from ..exceptions import UserError +from ..logger import logger +from .config import RealtimeClientMessage, RealtimeUserInput, get_api_key +from .transport import ( + RealtimeSessionTransport, + RealtimeTransportConnectionOptions, + RealtimeTransportListener, +) +from .transport_events import ( + RealtimeTransportAudioDoneEvent, + RealtimeTransportAudioEvent, + RealtimeTransportAudioInterruptedEvent, + RealtimeTransportErrorEvent, + RealtimeTransportEvent, + RealtimeTransportInputAudioTranscriptionCompletedEvent, + RealtimeTransportItemDeletedEvent, + RealtimeTransportItemUpdatedEvent, + RealtimeTransportToolCallEvent, + RealtimeTransportTranscriptDelta, + RealtimeTransportTurnEndedEvent, + RealtimeTransportTurnStartedEvent, +) + + +class OpenAIRealtimeWebSocketTransport(RealtimeSessionTransport): + """A transport layer for realtime sessions that uses OpenAI's WebSocket API.""" + + def __init__(self) -> None: + self.model = "gpt-4o-realtime-preview" # Default model + self._websocket: ClientConnection | None = None + self._websocket_task: asyncio.Task[None] | None = None + self._listeners: list[RealtimeTransportListener] = [] + self._current_item_id: str | None = None + self._audio_start_time: datetime | None = None + self._audio_length_ms: float = 0.0 + self._ongoing_response: bool = False + self._current_audio_content_index: int | None = None + + async def connect(self, options: RealtimeTransportConnectionOptions) -> None: + """Establish a connection to the model and keep it alive.""" + assert self._websocket is None, "Already connected" + assert self._websocket_task is None, "Already connected" + + self.model = options.get("model", self.model) + api_key = await get_api_key(options.get("api_key", os.getenv("OPENAI_API_KEY"))) + + if not api_key: + raise UserError("API key is required but was not provided.") + + url = options.get("url", f"wss://api.openai.com/v1/realtime?model={self.model}") + + headers = { + "Authorization": f"Bearer {api_key}", + "OpenAI-Beta": "realtime=v1", + } + self._websocket = await websockets.connect(url, additional_headers=headers) + self._websocket_task = asyncio.create_task(self._listen_for_messages()) + + def add_listener(self, listener: RealtimeTransportListener) -> None: + """Add a listener to the transport.""" + self._listeners.append(listener) + + async def remove_listener(self, listener: RealtimeTransportListener) -> None: + """Remove a listener from the transport.""" + self._listeners.remove(listener) + + async def _emit_event(self, event: RealtimeTransportEvent) -> None: + """Emit an event to the listeners.""" + for listener in self._listeners: + await listener.on_event(event) + + async def _listen_for_messages(self): + assert self._websocket is not None, "Not connected" + + try: + async for message in self._websocket: + parsed = json.loads(message) + await self._handle_ws_event(parsed) + + except websockets.exceptions.ConnectionClosed: + # TODO connection closed handling (event, cleanup) + logger.warning("WebSocket connection closed") + except Exception as e: + logger.error(f"WebSocket error: {e}") + + async def send_event(self, event: RealtimeClientMessage) -> None: + """Send an event to the model.""" + assert self._websocket is not None, "Not connected" + converted_event = { + "type": event["type"], + } + + converted_event.update(event.get("other_data", {})) + + await self._websocket.send(json.dumps(converted_event)) + + async def send_message( + self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None + ) -> None: + """Send a message to the model.""" + message = ( + message + if isinstance(message, dict) + else { + "type": "message", + "role": "user", + "content": [{"type": "input_text", "text": message}], + } + ) + other_data = { + "item": message, + } + if other_event_data: + other_data.update(other_event_data) + + await self.send_event({"type": "conversation.item.create", "other_data": other_data}) + + await self.send_event({"type": "response.create"}) + + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Send a raw audio chunk to the model. + + Args: + audio: The audio data to send. + commit: Whether to commit the audio buffer to the model. If the model does not do turn + detection, this can be used to indicate the turn is completed. + """ + assert self._websocket is not None, "Not connected" + base64_audio = base64.b64encode(audio).decode("utf-8") + await self.send_event( + { + "type": "input_audio_buffer.append", + "other_data": { + "audio": base64_audio, + }, + } + ) + if commit: + await self.send_event({"type": "input_audio_buffer.commit"}) + + async def send_tool_output( + self, tool_call: RealtimeTransportToolCallEvent, output: str, start_response: bool + ) -> None: + """Send tool output to the model.""" + await self.send_event( + { + "type": "conversation.item.create", + "other_data": { + "item": { + "type": "function_call_output", + "output": output, + "call_id": tool_call.id, + }, + }, + } + ) + + # Maybe also emit an item_update event? + + if start_response: + await self.send_event({"type": "response.create"}) + + async def interrupt(self) -> None: + """Interrupt the model.""" + if not self._current_item_id or not self._audio_start_time: + return + + await self._cancel_response() + + elapsed_time_ms = (datetime.now() - self._audio_start_time).total_seconds() * 1000 + if elapsed_time_ms > 0 and elapsed_time_ms < self._audio_length_ms: + await self._emit_event(RealtimeTransportAudioInterruptedEvent()) + await self.send_event( + { + "type": "conversation.item.truncate", + "other_data": { + "item_id": self._current_item_id, + "content_index": self._current_audio_content_index, + "audio_end_ms": elapsed_time_ms, + }, + } + ) + + self._current_item_id = None + self._audio_start_time = None + self._audio_length_ms = 0.0 + self._current_audio_content_index = None + + async def close(self) -> None: + """Close the session.""" + if self._websocket: + await self._websocket.close() + self._websocket = None + if self._websocket_task: + self._websocket_task.cancel() + self._websocket_task = None + + async def _cancel_response(self) -> None: + if self._ongoing_response: + await self.send_event({"type": "response.cancel"}) + self._ongoing_response = False + + async def _handle_ws_event(self, event: dict[str, Any]): + try: + parsed: OpenAIRealtimeServerEvent = TypeAdapter( + OpenAIRealtimeServerEvent + ).validate_python(event) + except Exception as e: + logger.error(f"Invalid event: {event} - {e}") + await self._emit_event(RealtimeTransportErrorEvent(error=f"Invalid event: {event}")) + return + + if parsed.type == "response.audio.delta": + self._current_audio_content_index = parsed.content_index + self._current_item_id = parsed.item_id + if self._audio_start_time is None: + self._audio_start_time = datetime.now() + self._audio_length_ms = 0.0 + + audio_bytes = base64.b64decode(parsed.delta) + # Calculate audio length in ms using 24KHz pcm16le + self._audio_length_ms += len(audio_bytes) / 24 / 2 + await self._emit_event( + RealtimeTransportAudioEvent(data=audio_bytes, response_id=parsed.response_id) + ) + elif parsed.type == "response.audio.done": + await self._emit_event(RealtimeTransportAudioDoneEvent()) + elif parsed.type == "input_audio_buffer.speech_started": + await self.interrupt() + elif parsed.type == "response.created": + self._ongoing_response = True + await self._emit_event(RealtimeTransportTurnStartedEvent()) + elif parsed.type == "response.done": + self._ongoing_response = False + await self._emit_event(RealtimeTransportTurnEndedEvent()) + elif parsed.type == "session.created": + # TODO (rm) tracing stuff here + pass + elif parsed.type == "error": + await self._emit_event(RealtimeTransportErrorEvent(error=parsed.error)) + elif parsed.type == "conversation.item.deleted": + await self._emit_event(RealtimeTransportItemDeletedEvent(item_id=parsed.item_id)) + elif ( + parsed.type == "conversation.item.created" + or parsed.type == "conversation.item.retrieved" + ): + item = parsed.item + previous_item_id = ( + parsed.previous_item_id if parsed.type == "conversation.item.created" else None + ) + message_item: RealtimeMessageItem = TypeAdapter(RealtimeMessageItem).validate_python( + { + "item_id": item.id or "", + "previous_item_id": previous_item_id, + "type": item.type, + "role": item.role, + "content": item.content, + "status": "in_progress", + } + ) + await self._emit_event(RealtimeTransportItemUpdatedEvent(item=message_item)) + elif ( + parsed.type == "conversation.item.input_audio_transcription.completed" + or parsed.type == "conversation.item.truncated" + ): + await self.send_event( + { + "type": "conversation.item.retrieve", + "other_data": { + "item_id": self._current_item_id, + }, + } + ) + if parsed.type == "conversation.item.input_audio_transcription.completed": + await self._emit_event( + RealtimeTransportInputAudioTranscriptionCompletedEvent( + item_id=parsed.item_id, transcript=parsed.transcript + ) + ) + elif parsed.type == "response.audio_transcript.delta": + await self._emit_event( + RealtimeTransportTranscriptDelta( + item_id=parsed.item_id, delta=parsed.delta, response_id=parsed.response_id + ) + ) + elif ( + parsed.type == "conversation.item.input_audio_transcription.delta" + or parsed.type == "response.text.delta" + or parsed.type == "response.function_call_arguments.delta" + ): + # No support for partials yet + pass + elif ( + parsed.type == "response.output_item.added" + or parsed.type == "response.output_item.done" + ): + item = parsed.item + if item.type == "function_call" and item.status == "completed": + tool_call = RealtimeToolCallItem( + item_id=item.id or "", + previous_item_id=None, + type="function_call", + # We use the same item for tool call and output, so it will be completed by the + # output being added + status="in_progress", + arguments=item.arguments or "", + name=item.name or "", + output=None, + ) + await self._emit_event(RealtimeTransportItemUpdatedEvent(item=tool_call)) + await self._emit_event( + RealtimeTransportToolCallEvent( + call_id=item.id or "", + name=item.name or "", + arguments=item.arguments or "", + id=item.id or "", + ) + ) + elif item.type == "message": + message_item = TypeAdapter(RealtimeMessageItem).validate_python( + { + "item_id": item.id or "", + "type": item.type, + "role": item.role, + "content": item.content, + "status": "in_progress", + } + ) + await self._emit_event(RealtimeTransportItemUpdatedEvent(item=message_item)) diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py new file mode 100644 index 000000000..60ae83f0c --- /dev/null +++ b/src/agents/realtime/session.py @@ -0,0 +1,370 @@ +"""Minimal realtime session implementation for voice agents.""" + +from __future__ import annotations + +import abc +import asyncio +from collections.abc import Awaitable +from typing import Any, Callable, Literal + +from typing_extensions import TypeAlias, assert_never + +from agents.handoffs import Handoff +from agents.tool_context import ToolContext + +from ..run_context import RunContextWrapper +from ..tool import FunctionTool +from .agent import RealtimeAgent +from .config import APIKeyOrKeyFunc, RealtimeSessionConfig, RealtimeUserInput +from .events import ( + RealtimeAgentEndEvent, + RealtimeAgentStartEvent, + RealtimeAudio, + RealtimeAudioEnd, + RealtimeAudioInterrupted, + RealtimeError, + RealtimeEventInfo, + RealtimeHandoffEvent, # noqa: F401 + RealtimeHistoryAdded, + RealtimeHistoryUpdated, + RealtimeRawTransportEvent, + RealtimeSessionEvent, + RealtimeToolEnd, # noqa: F401 + RealtimeToolStart, # noqa: F401 +) +from .items import InputAudio, InputText, RealtimeItem +from .openai_realtime import OpenAIRealtimeWebSocketTransport +from .transport import ( + RealtimeModelName, + RealtimeSessionTransport, + RealtimeTransportConnectionOptions, + RealtimeTransportListener, +) +from .transport_events import ( + RealtimeTransportEvent, + RealtimeTransportInputAudioTranscriptionCompletedEvent, + RealtimeTransportToolCallEvent, +) + + +class RealtimeSessionListener(abc.ABC): + """A listener for realtime session events.""" + + @abc.abstractmethod + async def on_event(self, event: RealtimeSessionEvent) -> None: + """Called when an event is emitted by the realtime session.""" + pass + + +RealtimeSessionListenerFunc: TypeAlias = Callable[[RealtimeSessionEvent], Awaitable[None]] +"""A function that can be used as a listener for realtime session events.""" + + +class _RealtimeFuncListener(RealtimeSessionListener): + """A listener that wraps a function.""" + + def __init__(self, func: RealtimeSessionListenerFunc) -> None: + self._func = func + + async def on_event(self, event: RealtimeSessionEvent) -> None: + """Call the wrapped function with the event.""" + await self._func(event) + + +class RealtimeSession(RealtimeTransportListener): + """A `RealtimeSession` is the equivalent of `Runner` for realtime agents. It automatically + handles multiple turns by maintaining a persistent connection with the underlying transport + layer. + + The session manages the local history copy, executes tools, runs guardrails and facilitates + handoffs between agents. + + Since this code runs on your server, it uses WebSockets by default. You can optionally create + your own custom transport layer by implementing the `RealtimeSessionTransport` interface. + """ + + def __init__( + self, + starting_agent: RealtimeAgent, + *, + context: Any | None = None, + transport: Literal["websocket"] | RealtimeSessionTransport = "websocket", + api_key: APIKeyOrKeyFunc | None = None, + model: RealtimeModelName | None = None, + config: RealtimeSessionConfig | None = None, + # TODO (rm) Add guardrail support + # TODO (rm) Add tracing support + # TODO (rm) Add history audio storage config + ) -> None: + """Initialize the realtime session. + + Args: + starting_agent: The agent to start the session with. + context: The context to use for the session. + transport: The transport to use for the session. Defaults to using websockets. + api_key: The API key to use for the session. + model: The model to use. Must be a realtime model. + config: Override parameters to use. + """ + self._current_agent = starting_agent + self._context_wrapper = RunContextWrapper(context) + self._event_info = RealtimeEventInfo(context=self._context_wrapper) + self._override_config = config + self._history: list[RealtimeItem] = [] + self._model = model + self._api_key = api_key + + self._listeners: list[RealtimeSessionListener] = [] + + if transport == "websocket": + self._transport: RealtimeSessionTransport = OpenAIRealtimeWebSocketTransport() + else: + self._transport = transport + + async def __aenter__(self) -> RealtimeSession: + """Async context manager entry.""" + await self.connect() + return self + + async def __aexit__(self, _exc_type: Any, _exc_val: Any, _exc_tb: Any) -> None: + """Async context manager exit.""" + await self.end() + + async def connect(self) -> None: + """Start the session: connect to the model and start the connection.""" + self._transport.add_listener(self) + + config = await self.create_session_config( + overrides=self._override_config, + ) + + options: RealtimeTransportConnectionOptions = { + "initial_session_config": config, + } + + if config.get("api_key") is not None: + options["api_key"] = config["api_key"] + elif self._api_key is not None: + options["api_key"] = self._api_key + + if config.get("model") is not None: + options["model"] = config["model"] + elif self._model is not None: + options["model"] = self._model + + await self._transport.connect(options) + + await self._emit_event( + RealtimeHistoryUpdated( + history=self._history, + info=self._event_info, + ) + ) + + async def end(self) -> None: + """End the session: disconnect from the model and close the connection.""" + pass + + def add_listener(self, listener: RealtimeSessionListener | RealtimeSessionListenerFunc) -> None: + """Add a listener to the session.""" + if isinstance(listener, RealtimeSessionListener): + self._listeners.append(listener) + else: + self._listeners.append(_RealtimeFuncListener(listener)) + + def remove_listener( + self, listener: RealtimeSessionListener | RealtimeSessionListenerFunc + ) -> None: + """Remove a listener from the session.""" + if isinstance(listener, RealtimeSessionListener): + self._listeners.remove(listener) + else: + for x in self._listeners: + if isinstance(x, _RealtimeFuncListener) and x._func == listener: + self._listeners.remove(x) + break + + async def create_session_config( + self, overrides: RealtimeSessionConfig | None = None + ) -> RealtimeSessionConfig: + """Create the session config.""" + agent = self._current_agent + instructions, tools = await asyncio.gather( + agent.get_system_prompt(self._context_wrapper), + agent.get_all_tools(self._context_wrapper), + ) + config = RealtimeSessionConfig() + + if self._model is not None: + config["model"] = self._model + if instructions is not None: + config["instructions"] = instructions + if tools is not None: + config["tools"] = [tool for tool in tools if isinstance(tool, FunctionTool)] + + if overrides: + config.update(overrides) + + return config + + async def send_message(self, message: RealtimeUserInput) -> None: + """Send a message to the model.""" + await self._transport.send_message(message) + + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Send a raw audio chunk to the model.""" + await self._transport.send_audio(audio, commit=commit) + + async def interrupt(self) -> None: + """Interrupt the model.""" + await self._transport.interrupt() + + async def on_event(self, event: RealtimeTransportEvent) -> None: + """Called when an event is emitted by the realtime transport.""" + await self._emit_event(RealtimeRawTransportEvent(data=event, info=self._event_info)) + + if event.type == "error": + await self._emit_event(RealtimeError(info=self._event_info, error=event.error)) + elif event.type == "function_call": + await self._handle_tool_call(event) + elif event.type == "audio": + await self._emit_event(RealtimeAudio(info=self._event_info, audio=event)) + elif event.type == "audio_interrupted": + await self._emit_event(RealtimeAudioInterrupted(info=self._event_info)) + elif event.type == "audio_done": + await self._emit_event(RealtimeAudioEnd(info=self._event_info)) + elif event.type == "conversation.item.input_audio_transcription.completed": + self._history = self._get_new_history(self._history, event) + await self._emit_event( + RealtimeHistoryUpdated(info=self._event_info, history=self._history) + ) + elif event.type == "transcript_delta": + # TODO (rm) Add guardrails + pass + elif event.type == "item_updated": + is_new = any(item.item_id == event.item.item_id for item in self._history) + self._history = self._get_new_history(self._history, event.item) + if is_new: + new_item = next( + item for item in self._history if item.item_id == event.item.item_id + ) + await self._emit_event(RealtimeHistoryAdded(info=self._event_info, item=new_item)) + else: + await self._emit_event( + RealtimeHistoryUpdated(info=self._event_info, history=self._history) + ) + pass + elif event.type == "item_deleted": + deleted_id = event.item_id + self._history = [item for item in self._history if item.item_id != deleted_id] + await self._emit_event( + RealtimeHistoryUpdated(info=self._event_info, history=self._history) + ) + elif event.type == "connection_status": + pass + elif event.type == "turn_started": + await self._emit_event( + RealtimeAgentStartEvent( + agent=self._current_agent, + info=self._event_info, + ) + ) + elif event.type == "turn_ended": + await self._emit_event( + RealtimeAgentEndEvent( + agent=self._current_agent, + info=self._event_info, + ) + ) + elif event.type == "other": + pass + else: + assert_never(event) + + async def _emit_event(self, event: RealtimeSessionEvent) -> None: + """Emit an event to the listeners.""" + await asyncio.gather(*[listener.on_event(event) for listener in self._listeners]) + + async def _handle_tool_call(self, event: RealtimeTransportToolCallEvent) -> None: + all_tools = await self._current_agent.get_all_tools(self._context_wrapper) + function_map = {tool.name: tool for tool in all_tools if isinstance(tool, FunctionTool)} + handoff_map = {tool.name: tool for tool in all_tools if isinstance(tool, Handoff)} + + if event.name in function_map: + await self._emit_event( + RealtimeToolStart( + info=self._event_info, + tool=function_map[event.name], + agent=self._current_agent, + ) + ) + + func_tool = function_map[event.name] + tool_context = ToolContext.from_agent_context(self._context_wrapper, event.call_id) + result = await func_tool.on_invoke_tool(tool_context, event.arguments) + + await self._transport.send_tool_output(event, str(result), True) + + await self._emit_event( + RealtimeToolEnd( + info=self._event_info, + tool=func_tool, + output=result, + agent=self._current_agent, + ) + ) + elif event.name in handoff_map: + # TODO (rm) Add support for handoffs + pass + else: + # TODO (rm) Add error handling + pass + + def _get_new_history( + self, + old_history: list[RealtimeItem], + event: RealtimeTransportInputAudioTranscriptionCompletedEvent | RealtimeItem, + ) -> list[RealtimeItem]: + # Merge transcript into placeholder input_audio message. + if isinstance(event, RealtimeTransportInputAudioTranscriptionCompletedEvent): + new_history: list[RealtimeItem] = [] + for item in old_history: + if item.item_id == event.item_id and item.type == "message" and item.role == "user": + content: list[InputText | InputAudio] = [] + for entry in item.content: + if entry.type == "input_audio": + copied_entry = entry.model_copy(update={"transcript": event.transcript}) + content.append(copied_entry) + else: + content.append(entry) # type: ignore + new_history.append( + item.model_copy(update={"content": content, "status": "completed"}) + ) + else: + new_history.append(item) + return new_history + + # Otherwise it's just a new item + # TODO (rm) Add support for audio storage config + + # If the item already exists, update it + existing_index = next( + (i for i, item in enumerate(old_history) if item.item_id == event.item_id), None + ) + if existing_index is not None: + new_history = old_history.copy() + new_history[existing_index] = event + return new_history + # Otherwise, insert it after the previous_item_id if that is set + elif item.previous_item_id: + # Insert the new item after the previous item + previous_index = next( + (i for i, item in enumerate(old_history) if item.item_id == event.previous_item_id), + None, + ) + if previous_index is not None: + new_history = old_history.copy() + new_history.insert(previous_index + 1, event) + return new_history + # Otherwise, add it to the end + return old_history + [event] diff --git a/src/agents/realtime/transport.py b/src/agents/realtime/transport.py new file mode 100644 index 000000000..18290d128 --- /dev/null +++ b/src/agents/realtime/transport.py @@ -0,0 +1,107 @@ +import abc +from typing import Any, Literal, Union + +from typing_extensions import NotRequired, TypeAlias, TypedDict + +from .config import APIKeyOrKeyFunc, RealtimeClientMessage, RealtimeSessionConfig, RealtimeUserInput +from .transport_events import RealtimeTransportEvent, RealtimeTransportToolCallEvent + +RealtimeModelName: TypeAlias = Union[ + Literal[ + "gpt-4o-realtime-preview", + "gpt-4o-mini-realtime-preview", + "gpt-4o-realtime-preview-2025-06-03", + "gpt-4o-realtime-preview-2024-12-17", + "gpt-4o-realtime-preview-2024-10-01", + "gpt-4o-mini-realtime-preview-2024-12-17", + ], + str, +] +"""The name of a realtime model.""" + + +class RealtimeTransportListener(abc.ABC): + """A listener for realtime transport events.""" + + @abc.abstractmethod + async def on_event(self, event: RealtimeTransportEvent) -> None: + """Called when an event is emitted by the realtime transport.""" + pass + + +class RealtimeTransportConnectionOptions(TypedDict): + """Options for connecting to a realtime transport.""" + + api_key: NotRequired[APIKeyOrKeyFunc] + """The API key to use for the transport. If unset, the transport will attempt to use the + `OPENAI_API_KEY` environment variable. + """ + + model: NotRequired[str] + """The model to use.""" + + url: NotRequired[str] + """The URL to use for the transport. If unset, the transport will use the default OpenAI + WebSocket URL. + """ + + initial_session_config: NotRequired[RealtimeSessionConfig] + + +class RealtimeSessionTransport(abc.ABC): + """A transport layer for realtime sessions.""" + + @abc.abstractmethod + async def connect(self, options: RealtimeTransportConnectionOptions) -> None: + """Establish a connection to the model and keep it alive.""" + pass + + @abc.abstractmethod + def add_listener(self, listener: RealtimeTransportListener) -> None: + """Add a listener to the transport.""" + pass + + @abc.abstractmethod + async def remove_listener(self, listener: RealtimeTransportListener) -> None: + """Remove a listener from the transport.""" + pass + + @abc.abstractmethod + async def send_event(self, event: RealtimeClientMessage) -> None: + """Send an event to the model.""" + pass + + @abc.abstractmethod + async def send_message( + self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None + ) -> None: + """Send a message to the model.""" + pass + + @abc.abstractmethod + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Send a raw audio chunk to the model. + + Args: + audio: The audio data to send. + commit: Whether to commit the audio buffer to the model. If the model does not do turn + detection, this can be used to indicate the turn is completed. + """ + pass + + @abc.abstractmethod + async def send_tool_output( + self, tool_call: RealtimeTransportToolCallEvent, output: str, start_response: bool + ) -> None: + """Send tool output to the model.""" + pass + + @abc.abstractmethod + async def interrupt(self) -> None: + """Interrupt the model. For example, could be triggered by a guardrail.""" + pass + + @abc.abstractmethod + async def close(self) -> None: + """Close the session.""" + pass diff --git a/src/agents/realtime/transport_events.py b/src/agents/realtime/transport_events.py new file mode 100644 index 000000000..d65e32591 --- /dev/null +++ b/src/agents/realtime/transport_events.py @@ -0,0 +1,148 @@ +from __future__ import annotations + +from dataclasses import dataclass +from typing import Any, Literal, TypeAlias, Union + +from agents.realtime.items import RealtimeItem + +RealtimeConnectionStatus: TypeAlias = Literal["connecting", "connected", "disconnected"] + + +@dataclass +class RealtimeTransportErrorEvent: + """Represents a transport‑layer error.""" + + error: Any + + type: Literal["error"] = "error" + + +@dataclass +class RealtimeTransportToolCallEvent: + """Model attempted a tool/function call.""" + + name: str + call_id: str + arguments: str + + id: str | None = None + previous_item_id: str | None = None + + type: Literal["function_call"] = "function_call" + + +@dataclass +class RealtimeTransportAudioEvent: + """Raw audio bytes emitted by the model.""" + + data: bytes + response_id: str + + type: Literal["audio"] = "audio" + + +@dataclass +class RealtimeTransportAudioInterruptedEvent: + """Audio interrupted.""" + + type: Literal["audio_interrupted"] = "audio_interrupted" + + +@dataclass +class RealtimeTransportAudioDoneEvent: + """Audio done.""" + + type: Literal["audio_done"] = "audio_done" + + +@dataclass +class RealtimeTransportInputAudioTranscriptionCompletedEvent: + """Input audio transcription completed.""" + + item_id: str + transcript: str + + type: Literal["conversation.item.input_audio_transcription.completed"] = ( + "conversation.item.input_audio_transcription.completed" + ) + + +@dataclass +class RealtimeTransportTranscriptDelta: + """Partial transcript update.""" + + item_id: str + delta: str + response_id: str + + type: Literal["transcript_delta"] = "transcript_delta" + + +@dataclass +class RealtimeTransportItemUpdatedEvent: + """Item added to the history or updated.""" + + item: RealtimeItem + + type: Literal["item_updated"] = "item_updated" + + +@dataclass +class RealtimeTransportItemDeletedEvent: + """Item deleted from the history.""" + + item_id: str + + type: Literal["item_deleted"] = "item_deleted" + + +@dataclass +class RealtimeTransportConnectionStatusEvent: + """Connection status changed.""" + + status: RealtimeConnectionStatus + + type: Literal["connection_status"] = "connection_status" + + +@dataclass +class RealtimeTransportTurnStartedEvent: + """Triggered when the model starts generating a response for a turn.""" + + type: Literal["turn_started"] = "turn_started" + + +@dataclass +class RealtimeTransportTurnEndedEvent: + """Triggered when the model finishes generating a response for a turn.""" + + type: Literal["turn_ended"] = "turn_ended" + + +@dataclass +class RealtimeTransportOtherEvent: + """Used as a catchall for vendor-specific events.""" + + data: Any + + type: Literal["other"] = "other" + + +# TODO (rm) Add usage events + + +RealtimeTransportEvent: TypeAlias = Union[ + RealtimeTransportErrorEvent, + RealtimeTransportToolCallEvent, + RealtimeTransportAudioEvent, + RealtimeTransportAudioInterruptedEvent, + RealtimeTransportAudioDoneEvent, + RealtimeTransportInputAudioTranscriptionCompletedEvent, + RealtimeTransportTranscriptDelta, + RealtimeTransportItemUpdatedEvent, + RealtimeTransportItemDeletedEvent, + RealtimeTransportConnectionStatusEvent, + RealtimeTransportTurnStartedEvent, + RealtimeTransportTurnEndedEvent, + RealtimeTransportOtherEvent, +] diff --git a/tests/realtime/test_transport_events.py b/tests/realtime/test_transport_events.py new file mode 100644 index 000000000..2219303d0 --- /dev/null +++ b/tests/realtime/test_transport_events.py @@ -0,0 +1,12 @@ +from typing import get_args + +from agents.realtime.transport_events import RealtimeTransportEvent + + +def test_all_events_have_type() -> None: + """Test that all events have a type.""" + events = get_args(RealtimeTransportEvent) + assert len(events) > 0 + for event in events: + assert event.type is not None + assert isinstance(event.type, str) From dc5464902834b58f0cb9c82a55f86ffd2112ff6d Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 9 Jul 2025 15:12:39 -0400 Subject: [PATCH 147/337] wip --- examples/realtime/demo.py | 90 ++++++ examples/realtime/ui.py | 221 ++++++++++++++ src/agents/agent.py | 54 ++-- src/agents/model_settings.py | 14 +- src/agents/realtime/__init__.py | 50 +++- src/agents/realtime/agent.py | 30 -- src/agents/realtime/config.py | 91 ++++++ src/agents/realtime/events.py | 198 +++++++++++++ src/agents/realtime/items.py | 100 +++++++ src/agents/realtime/openai_realtime.py | 354 +++++++++++++++++++++++ src/agents/realtime/session.py | 370 ++++++++++++++++++++++++ src/agents/realtime/transport.py | 107 +++++++ src/agents/realtime/transport_events.py | 148 ++++++++++ tests/realtime/test_transport_events.py | 12 + 14 files changed, 1775 insertions(+), 64 deletions(-) create mode 100644 examples/realtime/demo.py create mode 100644 examples/realtime/ui.py create mode 100644 src/agents/realtime/config.py create mode 100644 src/agents/realtime/events.py create mode 100644 src/agents/realtime/items.py create mode 100644 src/agents/realtime/openai_realtime.py create mode 100644 src/agents/realtime/session.py create mode 100644 src/agents/realtime/transport.py create mode 100644 src/agents/realtime/transport_events.py create mode 100644 tests/realtime/test_transport_events.py diff --git a/examples/realtime/demo.py b/examples/realtime/demo.py new file mode 100644 index 000000000..663784573 --- /dev/null +++ b/examples/realtime/demo.py @@ -0,0 +1,90 @@ +import asyncio +import base64 +import os +import sys +from typing import TYPE_CHECKING + +import numpy as np + +# Add the current directory to path so we can import ui +sys.path.append(os.path.dirname(os.path.abspath(__file__))) + +from agents import function_tool +from agents.realtime import RealtimeAgent, RealtimeSession, RealtimeSessionEvent + +if TYPE_CHECKING: + from .ui import AppUI +else: + # At runtime, try both import styles + try: + # Try relative import first (when used as a package) + from .ui import AppUI + except ImportError: + # Fall back to direct import (when run as a script) + from ui import AppUI + + +@function_tool +def get_weather(city: str) -> str: + """Get the weather in a city.""" + return f"The weather in {city} is sunny." + + +agent = RealtimeAgent( + name="Assistant", + instructions="You always greet the user with 'Top of the morning to you'.", + tools=[get_weather], +) + + +class Example: + def __init__(self) -> None: + self.session = RealtimeSession(agent) + self.ui = AppUI() + self.ui.connected = asyncio.Event() + self.ui.last_audio_item_id = None + # Set the audio callback + self.ui.set_audio_callback(self.on_audio_recorded) + + async def run(self) -> None: + self.session.add_listener(self.on_event) + await self.session.connect() + self.ui.set_is_connected(True) + await self.ui.run_async() + + async def on_audio_recorded(self, audio_bytes: bytes) -> None: + """Called when audio is recorded by the UI.""" + try: + # Send the audio to the session + await self.session.send_audio(audio_bytes) + except Exception as e: + self.ui.log_message(f"Error sending audio: {e}") + + async def on_event(self, event: RealtimeSessionEvent) -> None: + # Display event in the UI + try: + if event.type == "raw_transport_event" and event.data.type == "other": + # self.ui.log_message(f"{event.data}, {type(event.data.data)}") + if event.data.data["type"] == "response.audio.delta": + self.ui.log_message("audio deltas") + delta_b64_string = event.data.data["delta"] + delta_bytes = base64.b64decode(delta_b64_string) + audio_data = np.frombuffer(delta_bytes, dtype=np.int16) + self.ui.play_audio(audio_data) + + # Handle audio from model + if event.type == "audio": + try: + # Convert bytes to numpy array for audio player + audio_data = np.frombuffer(event.audio.data, dtype=np.int16) + self.ui.play_audio(audio_data) + except Exception as e: + self.ui.log_message(f"Audio play error: {e}") + except Exception: + # This can happen if the UI has already exited + pass + + +if __name__ == "__main__": + example = Example() + asyncio.run(example.run()) diff --git a/examples/realtime/ui.py b/examples/realtime/ui.py new file mode 100644 index 000000000..d619ae8e6 --- /dev/null +++ b/examples/realtime/ui.py @@ -0,0 +1,221 @@ +from __future__ import annotations + +import asyncio +from collections.abc import Coroutine +from typing import Any, Callable + +import numpy as np +import numpy.typing as npt +import sounddevice as sd +from textual import events +from textual.app import App, ComposeResult +from textual.containers import Container +from textual.reactive import reactive +from textual.widgets import RichLog, Static +from typing_extensions import override + +CHUNK_LENGTH_S = 0.05 # 50ms +SAMPLE_RATE = 24000 +FORMAT = np.int16 +CHANNELS = 1 + + +class Header(Static): + """A header widget.""" + + @override + def render(self) -> str: + return "Realtime Demo" + + +class AudioStatusIndicator(Static): + """A widget that shows the current audio recording status.""" + + is_recording = reactive(False) + + @override + def render(self) -> str: + status = ( + "🔴 Conversation started." + if self.is_recording + else "⚪ Press SPACE to start the conversation (q to quit)" + ) + return status + + +class AppUI(App[None]): + CSS = """ + Screen { + background: #1a1b26; /* Dark blue-grey background */ + } + + Container { + border: double rgb(91, 164, 91); + } + + #input-container { + height: 5; /* Explicit height for input container */ + margin: 1 1; + padding: 1 2; + } + + #bottom-pane { + width: 100%; + height: 82%; /* Reduced to make room for session display */ + border: round rgb(205, 133, 63); + content-align: center middle; + } + + #status-indicator { + height: 3; + content-align: center middle; + background: #2a2b36; + border: solid rgb(91, 164, 91); + margin: 1 1; + } + + #session-display { + height: 3; + content-align: center middle; + background: #2a2b36; + border: solid rgb(91, 164, 91); + margin: 1 1; + } + + Static { + color: white; + } + """ + + should_send_audio: asyncio.Event + connected: asyncio.Event + last_audio_item_id: str | None + audio_callback: Callable[[bytes], Coroutine[Any, Any, None]] | None + + def __init__(self) -> None: + super().__init__() + self.audio_player = sd.OutputStream( + samplerate=SAMPLE_RATE, + channels=CHANNELS, + dtype=FORMAT, + ) + self.should_send_audio = asyncio.Event() + self.connected = asyncio.Event() + self.audio_callback = None + + @override + def compose(self) -> ComposeResult: + """Create child widgets for the app.""" + with Container(): + yield Header(id="session-display") + yield AudioStatusIndicator(id="status-indicator") + yield RichLog(id="bottom-pane", wrap=True, highlight=True, markup=True) + + def set_is_connected(self, is_connected: bool) -> None: + self.connected.set() if is_connected else self.connected.clear() + + def set_audio_callback(self, callback: Callable[[bytes], Coroutine[Any, Any, None]]) -> None: + """Set a callback function to be called when audio is recorded.""" + self.audio_callback = callback + + # High-level methods for UI operations + def set_header_text(self, text: str) -> None: + """Update the header text.""" + header = self.query_one("#session-display", Header) + header.update(text) + + def set_recording_status(self, is_recording: bool) -> None: + """Set the recording status indicator.""" + status_indicator = self.query_one(AudioStatusIndicator) + status_indicator.is_recording = is_recording + + def log_message(self, message: str) -> None: + """Add a message to the log pane.""" + try: + bottom_pane = self.query_one("#bottom-pane", RichLog) + bottom_pane.write(message) + except Exception: + # Handle the case where the widget might not be available + pass + + def play_audio(self, audio_data: npt.NDArray[np.int16]) -> None: + """Play audio data through the audio player.""" + try: + self.audio_player.write(audio_data) + except Exception as e: + self.log_message(f"Audio play error: {e}") + + async def on_mount(self) -> None: + """Set up audio player and start the audio capture worker.""" + self.audio_player.start() + self.run_worker(self.capture_audio()) + + async def capture_audio(self) -> None: + """Capture audio from the microphone and send to the session.""" + # Wait for connection to be established + await self.connected.wait() + + self.log_message("Connected to agent. Press space to start the conversation") + + # Set up audio input stream + stream = sd.InputStream( + channels=CHANNELS, + samplerate=SAMPLE_RATE, + dtype=FORMAT, + ) + + try: + # Wait for user to press spacebar to start + await self.should_send_audio.wait() + + stream.start() + self.set_recording_status(True) + self.log_message("Recording started - speak to the agent") + + # Buffer size in samples + read_size = int(SAMPLE_RATE * CHUNK_LENGTH_S) + + while True: + # Check if there's enough data to read + if stream.read_available < read_size: + await asyncio.sleep(0.01) # Small sleep to avoid CPU hogging + continue + + # Read audio data + data, _ = stream.read(read_size) + + # Convert numpy array to bytes + audio_bytes = data.tobytes() + + # Call audio callback if set + if self.audio_callback: + try: + await self.audio_callback(audio_bytes) + except Exception as e: + self.log_message(f"Audio callback error: {e}") + + # Yield control back to event loop + await asyncio.sleep(0) + + except Exception as e: + self.log_message(f"Audio capture error: {e}") + finally: + if stream.active: + stream.stop() + stream.close() + + async def on_key(self, event: events.Key) -> None: + """Handle key press events.""" + # add the keypress to the log + self.log_message(f"Key pressed: {event.key}") + + if event.key == "q": + self.audio_player.stop() + self.audio_player.close() + self.exit() + return + + if event.key == "space": # Spacebar + if not self.should_send_audio.is_set(): + self.should_send_audio.set() + self.set_recording_status(True) diff --git a/src/agents/agent.py b/src/agents/agent.py index b855e03b4..cf5e687e2 100644 --- a/src/agents/agent.py +++ b/src/agents/agent.py @@ -94,6 +94,33 @@ class AgentBase: mcp_config: MCPConfig = field(default_factory=lambda: MCPConfig()) """Configuration for MCP servers.""" + async def get_mcp_tools(self, run_context: RunContextWrapper[TContext]) -> list[Tool]: + """Fetches the available tools from the MCP servers.""" + convert_schemas_to_strict = self.mcp_config.get("convert_schemas_to_strict", False) + return await MCPUtil.get_all_function_tools( + self.mcp_servers, convert_schemas_to_strict, run_context, self + ) + + async def get_all_tools(self, run_context: RunContextWrapper[Any]) -> list[Tool]: + """All agent tools, including MCP tools and function tools.""" + mcp_tools = await self.get_mcp_tools(run_context) + + async def _check_tool_enabled(tool: Tool) -> bool: + if not isinstance(tool, FunctionTool): + return True + + attr = tool.is_enabled + if isinstance(attr, bool): + return attr + res = attr(run_context, self) + if inspect.isawaitable(res): + return bool(await res) + return bool(res) + + results = await asyncio.gather(*(_check_tool_enabled(t) for t in self.tools)) + enabled: list[Tool] = [t for t, ok in zip(self.tools, results) if ok] + return [*mcp_tools, *enabled] + @dataclass class Agent(AgentBase, Generic[TContext]): @@ -262,30 +289,3 @@ async def get_prompt( ) -> ResponsePromptParam | None: """Get the prompt for the agent.""" return await PromptUtil.to_model_input(self.prompt, run_context, self) - - async def get_mcp_tools(self, run_context: RunContextWrapper[TContext]) -> list[Tool]: - """Fetches the available tools from the MCP servers.""" - convert_schemas_to_strict = self.mcp_config.get("convert_schemas_to_strict", False) - return await MCPUtil.get_all_function_tools( - self.mcp_servers, convert_schemas_to_strict, run_context, self - ) - - async def get_all_tools(self, run_context: RunContextWrapper[Any]) -> list[Tool]: - """All agent tools, including MCP tools and function tools.""" - mcp_tools = await self.get_mcp_tools(run_context) - - async def _check_tool_enabled(tool: Tool) -> bool: - if not isinstance(tool, FunctionTool): - return True - - attr = tool.is_enabled - if isinstance(attr, bool): - return attr - res = attr(run_context, self) - if inspect.isawaitable(res): - return bool(await res) - return bool(res) - - results = await asyncio.gather(*(_check_tool_enabled(t) for t in self.tools)) - enabled: list[Tool] = [t for t, ok in zip(self.tools, results) if ok] - return [*mcp_tools, *enabled] diff --git a/src/agents/model_settings.py b/src/agents/model_settings.py index 26af94ba3..e22e6e8a0 100644 --- a/src/agents/model_settings.py +++ b/src/agents/model_settings.py @@ -17,9 +17,9 @@ class _OmitTypeAnnotation: @classmethod def __get_pydantic_core_schema__( - cls, - _source_type: Any, - _handler: GetCoreSchemaHandler, + cls, + _source_type: Any, + _handler: GetCoreSchemaHandler, ) -> core_schema.CoreSchema: def validate_from_none(value: None) -> _Omit: return _Omit() @@ -39,12 +39,14 @@ def validate_from_none(value: None) -> _Omit: from_none_schema, ] ), - serialization=core_schema.plain_serializer_function_ser_schema( - lambda instance: None - ), + serialization=core_schema.plain_serializer_function_ser_schema(lambda instance: None), ) + + Omit = Annotated[_Omit, _OmitTypeAnnotation] Headers: TypeAlias = Mapping[str, Union[str, Omit]] +ToolChoice: TypeAlias = Literal["auto", "required", "none"] | str | None + @dataclass class ModelSettings: diff --git a/src/agents/realtime/__init__.py b/src/agents/realtime/__init__.py index 7f99ac8a8..7e5d4932a 100644 --- a/src/agents/realtime/__init__.py +++ b/src/agents/realtime/__init__.py @@ -1,3 +1,51 @@ from .agent import RealtimeAgent, RealtimeAgentHooks, RealtimeRunHooks +from .config import APIKeyOrKeyFunc +from .events import ( + RealtimeAgentEndEvent, + RealtimeAgentStartEvent, + RealtimeAudio, + RealtimeAudioEnd, + RealtimeAudioInterrupted, + RealtimeError, + RealtimeHandoffEvent, + RealtimeHistoryAdded, + RealtimeHistoryUpdated, + RealtimeRawTransportEvent, + RealtimeSessionEvent, + RealtimeToolEnd, + RealtimeToolStart, +) +from .session import RealtimeSession +from .transport import ( + RealtimeModelName, + RealtimeSessionTransport, + RealtimeTransportConnectionOptions, + RealtimeTransportListener, +) -__all__ = ["RealtimeAgent", "RealtimeAgentHooks", "RealtimeRunHooks"] +__all__ = [ + "RealtimeAgent", + "RealtimeAgentHooks", + "RealtimeRunHooks", + "RealtimeSession", + "RealtimeSessionListener", + "RealtimeSessionListenerFunc", + "APIKeyOrKeyFunc", + "RealtimeModelName", + "RealtimeSessionTransport", + "RealtimeTransportListener", + "RealtimeTransportConnectionOptions", + "RealtimeSessionEvent", + "RealtimeAgentStartEvent", + "RealtimeAgentEndEvent", + "RealtimeHandoffEvent", + "RealtimeToolStart", + "RealtimeToolEnd", + "RealtimeRawTransportEvent", + "RealtimeAudioEnd", + "RealtimeAudio", + "RealtimeAudioInterrupted", + "RealtimeError", + "RealtimeHistoryUpdated", + "RealtimeHistoryAdded", +] diff --git a/src/agents/realtime/agent.py b/src/agents/realtime/agent.py index 416be9e73..9bbed8cb4 100644 --- a/src/agents/realtime/agent.py +++ b/src/agents/realtime/agent.py @@ -1,6 +1,5 @@ from __future__ import annotations -import asyncio import dataclasses import inspect from collections.abc import Awaitable @@ -10,9 +9,7 @@ from ..agent import AgentBase from ..lifecycle import AgentHooksBase, RunHooksBase from ..logger import logger -from ..mcp import MCPUtil from ..run_context import RunContextWrapper, TContext -from ..tool import FunctionTool, Tool from ..util._types import MaybeAwaitable RealtimeAgentHooks = AgentHooksBase[TContext, "RealtimeAgent[TContext]"] @@ -81,30 +78,3 @@ async def get_system_prompt(self, run_context: RunContextWrapper[TContext]) -> s logger.error(f"Instructions must be a string or a function, got {self.instructions}") return None - - async def get_mcp_tools(self, run_context: RunContextWrapper[TContext]) -> list[Tool]: - """Fetches the available tools from the MCP servers.""" - convert_schemas_to_strict = self.mcp_config.get("convert_schemas_to_strict", False) - return await MCPUtil.get_all_function_tools( - self.mcp_servers, convert_schemas_to_strict, run_context, self - ) - - async def get_all_tools(self, run_context: RunContextWrapper[Any]) -> list[Tool]: - """All agent tools, including MCP tools and function tools.""" - mcp_tools = await self.get_mcp_tools(run_context) - - async def _check_tool_enabled(tool: Tool) -> bool: - if not isinstance(tool, FunctionTool): - return True - - attr = tool.is_enabled - if isinstance(attr, bool): - return attr - res = attr(run_context, self) - if inspect.isawaitable(res): - return bool(await res) - return bool(res) - - results = await asyncio.gather(*(_check_tool_enabled(t) for t in self.tools)) - enabled: list[Tool] = [t for t, ok in zip(self.tools, results) if ok] - return [*mcp_tools, *enabled] diff --git a/src/agents/realtime/config.py b/src/agents/realtime/config.py new file mode 100644 index 000000000..aa15c837d --- /dev/null +++ b/src/agents/realtime/config.py @@ -0,0 +1,91 @@ +from __future__ import annotations + +import inspect +from typing import ( + Any, + Callable, + Literal, + Union, +) + +from typing_extensions import NotRequired, TypeAlias, TypedDict + +from ..model_settings import ToolChoice +from ..tool import FunctionTool +from ..util._types import MaybeAwaitable + + +class RealtimeClientMessage(TypedDict): + type: str # explicitly required + other_data: NotRequired[dict[str, Any]] + + +class UserInputText(TypedDict): + type: Literal["input_text"] + text: str + + +class RealtimeUserInputMessage(TypedDict): + type: Literal["message"] + role: Literal["user"] + content: list[UserInputText] + + +RealtimeUserInput: TypeAlias = Union[str, RealtimeUserInputMessage] + + +RealtimeAudioFormat: TypeAlias = Union[Literal["pcm16", "g711_ulaw", "g711_alaw"], str] + + +class RealtimeInputAudioTranscriptionConfig(TypedDict): + language: NotRequired[str] + model: NotRequired[Literal["gpt-4o-transcribe", "gpt-4o-mini-transcribe", "whisper-1"] | str] + prompt: NotRequired[str] + + +class RealtimeTurnDetectionConfig(TypedDict): + """Turn detection config. Allows extra vendor keys if needed.""" + + type: NotRequired[Literal["semantic_vad", "server_vad"]] + create_response: NotRequired[bool] + eagerness: NotRequired[Literal["auto", "low", "medium", "high"]] + interrupt_response: NotRequired[bool] + prefix_padding_ms: NotRequired[int] + silence_duration_ms: NotRequired[int] + threshold: NotRequired[float] + + +class RealtimeSessionConfig(TypedDict): + api_key: NotRequired[APIKeyOrKeyFunc] + model: NotRequired[str] + instructions: NotRequired[str] + modalities: NotRequired[list[Literal["text", "audio"]]] + voice: NotRequired[str] + + input_audio_format: NotRequired[RealtimeAudioFormat] + output_audio_format: NotRequired[RealtimeAudioFormat] + input_audio_transcription: NotRequired[RealtimeInputAudioTranscriptionConfig] + turn_detection: NotRequired[RealtimeTurnDetectionConfig] + + tool_choice: NotRequired[ToolChoice] + tools: NotRequired[list[FunctionTool]] + + +APIKeyOrKeyFunc = str | Callable[[], MaybeAwaitable[str]] +"""Either an API key or a function that returns an API key.""" + + +async def get_api_key(key: APIKeyOrKeyFunc | None) -> str | None: + """Get the API key from the key or key function.""" + if key is None: + return None + elif isinstance(key, str): + return key + + result = key() + if inspect.isawaitable(result): + return await result + return result + + # TODO (rm) Add tracing support + # tracing: NotRequired[RealtimeTracingConfig | None] diff --git a/src/agents/realtime/events.py b/src/agents/realtime/events.py new file mode 100644 index 000000000..bd6b7b5b0 --- /dev/null +++ b/src/agents/realtime/events.py @@ -0,0 +1,198 @@ +from dataclasses import dataclass +from typing import Any, Literal, Union + +from typing_extensions import TypeAlias + +from ..run_context import RunContextWrapper +from ..tool import Tool +from .agent import RealtimeAgent +from .items import RealtimeItem +from .transport_events import RealtimeTransportAudioEvent, RealtimeTransportEvent + + +@dataclass +class RealtimeEventInfo: + context: RunContextWrapper + """The context for the event.""" + + +@dataclass +class RealtimeAgentStartEvent: + """A new agent has started.""" + + agent: RealtimeAgent + """The new agent.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["agent_start"] = "agent_start" + + +@dataclass +class RealtimeAgentEndEvent: + """An agent has ended.""" + + agent: RealtimeAgent + """The agent that ended.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["agent_end"] = "agent_end" + + +@dataclass +class RealtimeHandoffEvent: + """An agent has handed off to another agent.""" + + from_agent: RealtimeAgent + """The agent that handed off.""" + + to_agent: RealtimeAgent + """The agent that was handed off to.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["handoff"] = "handoff" + + +@dataclass +class RealtimeToolStart: + """An agent is starting a tool call.""" + + agent: RealtimeAgent + """The agent that updated.""" + + tool: Tool + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["tool_start"] = "tool_start" + + +@dataclass +class RealtimeToolEnd: + """An agent has ended a tool call.""" + + agent: RealtimeAgent + """The agent that ended the tool call.""" + + tool: Tool + """The tool that was called.""" + + output: Any + """The output of the tool call.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["tool_end"] = "tool_end" + + +@dataclass +class RealtimeRawTransportEvent: + """Forwards raw events from the transport layer.""" + + data: RealtimeTransportEvent + """The raw data from the transport layer.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["raw_transport_event"] = "raw_transport_event" + + +@dataclass +class RealtimeAudioEnd: + """Triggered when the agent stops generating audio.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["audio_end"] = "audio_end" + + +@dataclass +class RealtimeAudio: + """Triggered when the agent generates new audio to be played.""" + + audio: RealtimeTransportAudioEvent + """The audio event from the transport layer.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["audio"] = "audio" + + +@dataclass +class RealtimeAudioInterrupted: + """Triggered when the agent is interrupted. Can be listened to by the user to stop audio + playback or give visual indicators to the user. + """ + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["audio_interrupted"] = "audio_interrupted" + + +@dataclass +class RealtimeError: + """An error has occurred.""" + + error: Any + """The error that occurred.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["error"] = "error" + + +@dataclass +class RealtimeHistoryUpdated: + """The history has been updated. Contains the full history of the session.""" + + history: list[RealtimeItem] + """The full history of the session.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["history_updated"] = "history_updated" + + +@dataclass +class RealtimeHistoryAdded: + """A new item has been added to the history.""" + + item: RealtimeItem + """The new item that was added to the history.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["history_added"] = "history_added" + + +# TODO (rm) Add guardrails + +RealtimeSessionEvent: TypeAlias = Union[ + RealtimeAgentStartEvent, + RealtimeAgentEndEvent, + RealtimeHandoffEvent, + RealtimeToolStart, + RealtimeToolEnd, + RealtimeRawTransportEvent, + RealtimeAudioEnd, + RealtimeAudio, + RealtimeAudioInterrupted, + RealtimeError, + RealtimeHistoryUpdated, + RealtimeHistoryAdded, +] +"""An event emitted by the realtime session.""" diff --git a/src/agents/realtime/items.py b/src/agents/realtime/items.py new file mode 100644 index 000000000..117a35a02 --- /dev/null +++ b/src/agents/realtime/items.py @@ -0,0 +1,100 @@ +from __future__ import annotations + +from typing import Annotated, Literal, Union + +from pydantic import BaseModel, ConfigDict, Field + + +class InputText(BaseModel): + type: Literal["input_text"] = "input_text" + text: str + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class InputAudio(BaseModel): + type: Literal["input_audio"] = "input_audio" + audio: str | None = None + transcript: str | None = None + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class AssistantText(BaseModel): + type: Literal["text"] = "text" + text: str + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class AssistantAudio(BaseModel): + type: Literal["audio"] = "audio" + audio: str | None = None + transcript: str | None = None + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class SystemMessageItem(BaseModel): + item_id: str + previous_item_id: str | None = None + type: Literal["message"] = "message" + role: Literal["system"] = "system" + content: list[InputText] + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class UserMessageItem(BaseModel): + item_id: str + previous_item_id: str | None = None + type: Literal["message"] = "message" + role: Literal["user"] = "user" + content: list[InputText | InputAudio] + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class AssistantMessageItem(BaseModel): + item_id: str + previous_item_id: str | None = None + type: Literal["message"] = "message" + role: Literal["assistant"] = "assistant" + status: Literal["in_progress", "completed", "incomplete"] | None = None + content: list[AssistantText | AssistantAudio] + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +RealtimeMessageItem = Annotated[ + Union[SystemMessageItem, UserMessageItem, AssistantMessageItem], + Field(discriminator="role"), +] + + +class RealtimeToolCallItem(BaseModel): + item_id: str + previous_item_id: str | None = None + type: Literal["function_call"] = "function_call" + status: Literal["in_progress", "completed"] + arguments: str + name: str + output: str | None = None + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +RealtimeItem = RealtimeMessageItem | RealtimeToolCallItem + + +class RealtimeResponse(BaseModel): + id: str + output: list[RealtimeMessageItem] diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py new file mode 100644 index 000000000..57347a84b --- /dev/null +++ b/src/agents/realtime/openai_realtime.py @@ -0,0 +1,354 @@ +import asyncio +import base64 +import json +import os +from datetime import datetime +from typing import Any + +import websockets +from openai.types.beta.realtime.realtime_server_event import ( + RealtimeServerEvent as OpenAIRealtimeServerEvent, +) +from pydantic import TypeAdapter +from websockets.asyncio.client import ClientConnection + +from agents.realtime.items import RealtimeMessageItem, RealtimeToolCallItem + +from ..exceptions import UserError +from ..logger import logger +from .config import RealtimeClientMessage, RealtimeUserInput, get_api_key +from .transport import ( + RealtimeSessionTransport, + RealtimeTransportConnectionOptions, + RealtimeTransportListener, +) +from .transport_events import ( + RealtimeTransportAudioDoneEvent, + RealtimeTransportAudioEvent, + RealtimeTransportAudioInterruptedEvent, + RealtimeTransportErrorEvent, + RealtimeTransportEvent, + RealtimeTransportInputAudioTranscriptionCompletedEvent, + RealtimeTransportItemDeletedEvent, + RealtimeTransportItemUpdatedEvent, + RealtimeTransportToolCallEvent, + RealtimeTransportTranscriptDelta, + RealtimeTransportTurnEndedEvent, + RealtimeTransportTurnStartedEvent, +) + + +class OpenAIRealtimeWebSocketTransport(RealtimeSessionTransport): + """A transport layer for realtime sessions that uses OpenAI's WebSocket API.""" + + def __init__(self) -> None: + self.model = "gpt-4o-realtime-preview" # Default model + self._websocket: ClientConnection | None = None + self._websocket_task: asyncio.Task[None] | None = None + self._listeners: list[RealtimeTransportListener] = [] + self._current_item_id: str | None = None + self._audio_start_time: datetime | None = None + self._audio_length_ms: float = 0.0 + self._ongoing_response: bool = False + self._current_audio_content_index: int | None = None + + async def connect(self, options: RealtimeTransportConnectionOptions) -> None: + """Establish a connection to the model and keep it alive.""" + assert self._websocket is None, "Already connected" + assert self._websocket_task is None, "Already connected" + + self.model = options.get("model", self.model) + api_key = await get_api_key(options.get("api_key", os.getenv("OPENAI_API_KEY"))) + + if not api_key: + raise UserError("API key is required but was not provided.") + + url = options.get("url", f"wss://api.openai.com/v1/realtime?model={self.model}") + + headers = { + "Authorization": f"Bearer {api_key}", + "OpenAI-Beta": "realtime=v1", + } + self._websocket = await websockets.connect(url, additional_headers=headers) + self._websocket_task = asyncio.create_task(self._listen_for_messages()) + + def add_listener(self, listener: RealtimeTransportListener) -> None: + """Add a listener to the transport.""" + self._listeners.append(listener) + + async def remove_listener(self, listener: RealtimeTransportListener) -> None: + """Remove a listener from the transport.""" + self._listeners.remove(listener) + + async def _emit_event(self, event: RealtimeTransportEvent) -> None: + """Emit an event to the listeners.""" + for listener in self._listeners: + await listener.on_event(event) + + async def _listen_for_messages(self): + assert self._websocket is not None, "Not connected" + + try: + async for message in self._websocket: + parsed = json.loads(message) + await self._handle_ws_event(parsed) + + except websockets.exceptions.ConnectionClosed: + # TODO connection closed handling (event, cleanup) + logger.warning("WebSocket connection closed") + except Exception as e: + logger.error(f"WebSocket error: {e}") + + async def send_event(self, event: RealtimeClientMessage) -> None: + """Send an event to the model.""" + assert self._websocket is not None, "Not connected" + converted_event = { + "type": event["type"], + } + + converted_event.update(event.get("other_data", {})) + + await self._websocket.send(json.dumps(converted_event)) + + async def send_message( + self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None + ) -> None: + """Send a message to the model.""" + message = ( + message + if isinstance(message, dict) + else { + "type": "message", + "role": "user", + "content": [{"type": "input_text", "text": message}], + } + ) + other_data = { + "item": message, + } + if other_event_data: + other_data.update(other_event_data) + + await self.send_event({"type": "conversation.item.create", "other_data": other_data}) + + await self.send_event({"type": "response.create"}) + + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Send a raw audio chunk to the model. + + Args: + audio: The audio data to send. + commit: Whether to commit the audio buffer to the model. If the model does not do turn + detection, this can be used to indicate the turn is completed. + """ + assert self._websocket is not None, "Not connected" + base64_audio = base64.b64encode(audio).decode("utf-8") + await self.send_event( + { + "type": "input_audio_buffer.append", + "other_data": { + "audio": base64_audio, + }, + } + ) + if commit: + await self.send_event({"type": "input_audio_buffer.commit"}) + + async def send_tool_output( + self, tool_call: RealtimeTransportToolCallEvent, output: str, start_response: bool + ) -> None: + """Send tool output to the model.""" + await self.send_event( + { + "type": "conversation.item.create", + "other_data": { + "item": { + "type": "function_call_output", + "output": output, + "call_id": tool_call.id, + }, + }, + } + ) + + tool_item = RealtimeToolCallItem( + item_id=tool_call.id or "", + previous_item_id=tool_call.previous_item_id, + type="function_call", + status="completed", + arguments=tool_call.arguments, + name=tool_call.name, + output=output, + ) + await self._emit_event(RealtimeTransportItemUpdatedEvent(item=tool_item)) + + if start_response: + await self.send_event({"type": "response.create"}) + + async def interrupt(self) -> None: + """Interrupt the model.""" + if not self._current_item_id or not self._audio_start_time: + return + + await self._cancel_response() + + elapsed_time_ms = (datetime.now() - self._audio_start_time).total_seconds() * 1000 + if elapsed_time_ms > 0 and elapsed_time_ms < self._audio_length_ms: + await self._emit_event(RealtimeTransportAudioInterruptedEvent()) + await self.send_event( + { + "type": "conversation.item.truncate", + "other_data": { + "item_id": self._current_item_id, + "content_index": self._current_audio_content_index, + "audio_end_ms": elapsed_time_ms, + }, + } + ) + + self._current_item_id = None + self._audio_start_time = None + self._audio_length_ms = 0.0 + self._current_audio_content_index = None + + async def close(self) -> None: + """Close the session.""" + if self._websocket: + await self._websocket.close() + self._websocket = None + if self._websocket_task: + self._websocket_task.cancel() + self._websocket_task = None + + async def _cancel_response(self) -> None: + if self._ongoing_response: + await self.send_event({"type": "response.cancel"}) + self._ongoing_response = False + + async def _handle_ws_event(self, event: dict[str, Any]): + try: + parsed: OpenAIRealtimeServerEvent = TypeAdapter( + OpenAIRealtimeServerEvent + ).validate_python(event) + except Exception as e: + logger.error(f"Invalid event: {event} - {e}") + await self._emit_event(RealtimeTransportErrorEvent(error=f"Invalid event: {event}")) + return + + if parsed.type == "response.audio.delta": + self._current_audio_content_index = parsed.content_index + self._current_item_id = parsed.item_id + if self._audio_start_time is None: + self._audio_start_time = datetime.now() + self._audio_length_ms = 0.0 + + audio_bytes = base64.b64decode(parsed.delta) + # Calculate audio length in ms using 24KHz pcm16le + self._audio_length_ms += len(audio_bytes) / 24 / 2 + await self._emit_event( + RealtimeTransportAudioEvent(data=audio_bytes, response_id=parsed.response_id) + ) + elif parsed.type == "response.audio.done": + await self._emit_event(RealtimeTransportAudioDoneEvent()) + elif parsed.type == "input_audio_buffer.speech_started": + await self.interrupt() + elif parsed.type == "response.created": + self._ongoing_response = True + await self._emit_event(RealtimeTransportTurnStartedEvent()) + elif parsed.type == "response.done": + self._ongoing_response = False + await self._emit_event(RealtimeTransportTurnEndedEvent()) + elif parsed.type == "session.created": + # TODO (rm) tracing stuff here + pass + elif parsed.type == "error": + await self._emit_event(RealtimeTransportErrorEvent(error=parsed.error)) + elif parsed.type == "conversation.item.deleted": + await self._emit_event(RealtimeTransportItemDeletedEvent(item_id=parsed.item_id)) + elif ( + parsed.type == "conversation.item.created" + or parsed.type == "conversation.item.retrieved" + ): + item = parsed.item + previous_item_id = ( + parsed.previous_item_id if parsed.type == "conversation.item.created" else None + ) + message_item: RealtimeMessageItem = TypeAdapter(RealtimeMessageItem).validate_python( + { + "item_id": item.id or "", + "previous_item_id": previous_item_id, + "type": item.type, + "role": item.role, + "content": item.content, + "status": "in_progress", + } + ) + await self._emit_event(RealtimeTransportItemUpdatedEvent(item=message_item)) + elif ( + parsed.type == "conversation.item.input_audio_transcription.completed" + or parsed.type == "conversation.item.truncated" + ): + await self.send_event( + { + "type": "conversation.item.retrieve", + "other_data": { + "item_id": self._current_item_id, + }, + } + ) + if parsed.type == "conversation.item.input_audio_transcription.completed": + await self._emit_event( + RealtimeTransportInputAudioTranscriptionCompletedEvent( + item_id=parsed.item_id, transcript=parsed.transcript + ) + ) + elif parsed.type == "response.audio_transcript.delta": + await self._emit_event( + RealtimeTransportTranscriptDelta( + item_id=parsed.item_id, delta=parsed.delta, response_id=parsed.response_id + ) + ) + elif ( + parsed.type == "conversation.item.input_audio_transcription.delta" + or parsed.type == "response.text.delta" + or parsed.type == "response.function_call_arguments.delta" + ): + # No support for partials yet + pass + elif ( + parsed.type == "response.output_item.added" + or parsed.type == "response.output_item.done" + ): + item = parsed.item + if item.type == "function_call" and item.status == "completed": + tool_call = RealtimeToolCallItem( + item_id=item.id or "", + previous_item_id=None, + type="function_call", + # We use the same item for tool call and output, so it will be completed by the + # output being added + status="in_progress", + arguments=item.arguments or "", + name=item.name or "", + output=None, + ) + await self._emit_event(RealtimeTransportItemUpdatedEvent(item=tool_call)) + await self._emit_event( + RealtimeTransportToolCallEvent( + call_id=item.id or "", + name=item.name or "", + arguments=item.arguments or "", + id=item.id or "", + ) + ) + elif item.type == "message": + message_item = TypeAdapter(RealtimeMessageItem).validate_python( + { + "item_id": item.id or "", + "type": item.type, + "role": item.role, + "content": item.content, + "status": "in_progress", + } + ) + await self._emit_event(RealtimeTransportItemUpdatedEvent(item=message_item)) diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py new file mode 100644 index 000000000..60ae83f0c --- /dev/null +++ b/src/agents/realtime/session.py @@ -0,0 +1,370 @@ +"""Minimal realtime session implementation for voice agents.""" + +from __future__ import annotations + +import abc +import asyncio +from collections.abc import Awaitable +from typing import Any, Callable, Literal + +from typing_extensions import TypeAlias, assert_never + +from agents.handoffs import Handoff +from agents.tool_context import ToolContext + +from ..run_context import RunContextWrapper +from ..tool import FunctionTool +from .agent import RealtimeAgent +from .config import APIKeyOrKeyFunc, RealtimeSessionConfig, RealtimeUserInput +from .events import ( + RealtimeAgentEndEvent, + RealtimeAgentStartEvent, + RealtimeAudio, + RealtimeAudioEnd, + RealtimeAudioInterrupted, + RealtimeError, + RealtimeEventInfo, + RealtimeHandoffEvent, # noqa: F401 + RealtimeHistoryAdded, + RealtimeHistoryUpdated, + RealtimeRawTransportEvent, + RealtimeSessionEvent, + RealtimeToolEnd, # noqa: F401 + RealtimeToolStart, # noqa: F401 +) +from .items import InputAudio, InputText, RealtimeItem +from .openai_realtime import OpenAIRealtimeWebSocketTransport +from .transport import ( + RealtimeModelName, + RealtimeSessionTransport, + RealtimeTransportConnectionOptions, + RealtimeTransportListener, +) +from .transport_events import ( + RealtimeTransportEvent, + RealtimeTransportInputAudioTranscriptionCompletedEvent, + RealtimeTransportToolCallEvent, +) + + +class RealtimeSessionListener(abc.ABC): + """A listener for realtime session events.""" + + @abc.abstractmethod + async def on_event(self, event: RealtimeSessionEvent) -> None: + """Called when an event is emitted by the realtime session.""" + pass + + +RealtimeSessionListenerFunc: TypeAlias = Callable[[RealtimeSessionEvent], Awaitable[None]] +"""A function that can be used as a listener for realtime session events.""" + + +class _RealtimeFuncListener(RealtimeSessionListener): + """A listener that wraps a function.""" + + def __init__(self, func: RealtimeSessionListenerFunc) -> None: + self._func = func + + async def on_event(self, event: RealtimeSessionEvent) -> None: + """Call the wrapped function with the event.""" + await self._func(event) + + +class RealtimeSession(RealtimeTransportListener): + """A `RealtimeSession` is the equivalent of `Runner` for realtime agents. It automatically + handles multiple turns by maintaining a persistent connection with the underlying transport + layer. + + The session manages the local history copy, executes tools, runs guardrails and facilitates + handoffs between agents. + + Since this code runs on your server, it uses WebSockets by default. You can optionally create + your own custom transport layer by implementing the `RealtimeSessionTransport` interface. + """ + + def __init__( + self, + starting_agent: RealtimeAgent, + *, + context: Any | None = None, + transport: Literal["websocket"] | RealtimeSessionTransport = "websocket", + api_key: APIKeyOrKeyFunc | None = None, + model: RealtimeModelName | None = None, + config: RealtimeSessionConfig | None = None, + # TODO (rm) Add guardrail support + # TODO (rm) Add tracing support + # TODO (rm) Add history audio storage config + ) -> None: + """Initialize the realtime session. + + Args: + starting_agent: The agent to start the session with. + context: The context to use for the session. + transport: The transport to use for the session. Defaults to using websockets. + api_key: The API key to use for the session. + model: The model to use. Must be a realtime model. + config: Override parameters to use. + """ + self._current_agent = starting_agent + self._context_wrapper = RunContextWrapper(context) + self._event_info = RealtimeEventInfo(context=self._context_wrapper) + self._override_config = config + self._history: list[RealtimeItem] = [] + self._model = model + self._api_key = api_key + + self._listeners: list[RealtimeSessionListener] = [] + + if transport == "websocket": + self._transport: RealtimeSessionTransport = OpenAIRealtimeWebSocketTransport() + else: + self._transport = transport + + async def __aenter__(self) -> RealtimeSession: + """Async context manager entry.""" + await self.connect() + return self + + async def __aexit__(self, _exc_type: Any, _exc_val: Any, _exc_tb: Any) -> None: + """Async context manager exit.""" + await self.end() + + async def connect(self) -> None: + """Start the session: connect to the model and start the connection.""" + self._transport.add_listener(self) + + config = await self.create_session_config( + overrides=self._override_config, + ) + + options: RealtimeTransportConnectionOptions = { + "initial_session_config": config, + } + + if config.get("api_key") is not None: + options["api_key"] = config["api_key"] + elif self._api_key is not None: + options["api_key"] = self._api_key + + if config.get("model") is not None: + options["model"] = config["model"] + elif self._model is not None: + options["model"] = self._model + + await self._transport.connect(options) + + await self._emit_event( + RealtimeHistoryUpdated( + history=self._history, + info=self._event_info, + ) + ) + + async def end(self) -> None: + """End the session: disconnect from the model and close the connection.""" + pass + + def add_listener(self, listener: RealtimeSessionListener | RealtimeSessionListenerFunc) -> None: + """Add a listener to the session.""" + if isinstance(listener, RealtimeSessionListener): + self._listeners.append(listener) + else: + self._listeners.append(_RealtimeFuncListener(listener)) + + def remove_listener( + self, listener: RealtimeSessionListener | RealtimeSessionListenerFunc + ) -> None: + """Remove a listener from the session.""" + if isinstance(listener, RealtimeSessionListener): + self._listeners.remove(listener) + else: + for x in self._listeners: + if isinstance(x, _RealtimeFuncListener) and x._func == listener: + self._listeners.remove(x) + break + + async def create_session_config( + self, overrides: RealtimeSessionConfig | None = None + ) -> RealtimeSessionConfig: + """Create the session config.""" + agent = self._current_agent + instructions, tools = await asyncio.gather( + agent.get_system_prompt(self._context_wrapper), + agent.get_all_tools(self._context_wrapper), + ) + config = RealtimeSessionConfig() + + if self._model is not None: + config["model"] = self._model + if instructions is not None: + config["instructions"] = instructions + if tools is not None: + config["tools"] = [tool for tool in tools if isinstance(tool, FunctionTool)] + + if overrides: + config.update(overrides) + + return config + + async def send_message(self, message: RealtimeUserInput) -> None: + """Send a message to the model.""" + await self._transport.send_message(message) + + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Send a raw audio chunk to the model.""" + await self._transport.send_audio(audio, commit=commit) + + async def interrupt(self) -> None: + """Interrupt the model.""" + await self._transport.interrupt() + + async def on_event(self, event: RealtimeTransportEvent) -> None: + """Called when an event is emitted by the realtime transport.""" + await self._emit_event(RealtimeRawTransportEvent(data=event, info=self._event_info)) + + if event.type == "error": + await self._emit_event(RealtimeError(info=self._event_info, error=event.error)) + elif event.type == "function_call": + await self._handle_tool_call(event) + elif event.type == "audio": + await self._emit_event(RealtimeAudio(info=self._event_info, audio=event)) + elif event.type == "audio_interrupted": + await self._emit_event(RealtimeAudioInterrupted(info=self._event_info)) + elif event.type == "audio_done": + await self._emit_event(RealtimeAudioEnd(info=self._event_info)) + elif event.type == "conversation.item.input_audio_transcription.completed": + self._history = self._get_new_history(self._history, event) + await self._emit_event( + RealtimeHistoryUpdated(info=self._event_info, history=self._history) + ) + elif event.type == "transcript_delta": + # TODO (rm) Add guardrails + pass + elif event.type == "item_updated": + is_new = any(item.item_id == event.item.item_id for item in self._history) + self._history = self._get_new_history(self._history, event.item) + if is_new: + new_item = next( + item for item in self._history if item.item_id == event.item.item_id + ) + await self._emit_event(RealtimeHistoryAdded(info=self._event_info, item=new_item)) + else: + await self._emit_event( + RealtimeHistoryUpdated(info=self._event_info, history=self._history) + ) + pass + elif event.type == "item_deleted": + deleted_id = event.item_id + self._history = [item for item in self._history if item.item_id != deleted_id] + await self._emit_event( + RealtimeHistoryUpdated(info=self._event_info, history=self._history) + ) + elif event.type == "connection_status": + pass + elif event.type == "turn_started": + await self._emit_event( + RealtimeAgentStartEvent( + agent=self._current_agent, + info=self._event_info, + ) + ) + elif event.type == "turn_ended": + await self._emit_event( + RealtimeAgentEndEvent( + agent=self._current_agent, + info=self._event_info, + ) + ) + elif event.type == "other": + pass + else: + assert_never(event) + + async def _emit_event(self, event: RealtimeSessionEvent) -> None: + """Emit an event to the listeners.""" + await asyncio.gather(*[listener.on_event(event) for listener in self._listeners]) + + async def _handle_tool_call(self, event: RealtimeTransportToolCallEvent) -> None: + all_tools = await self._current_agent.get_all_tools(self._context_wrapper) + function_map = {tool.name: tool for tool in all_tools if isinstance(tool, FunctionTool)} + handoff_map = {tool.name: tool for tool in all_tools if isinstance(tool, Handoff)} + + if event.name in function_map: + await self._emit_event( + RealtimeToolStart( + info=self._event_info, + tool=function_map[event.name], + agent=self._current_agent, + ) + ) + + func_tool = function_map[event.name] + tool_context = ToolContext.from_agent_context(self._context_wrapper, event.call_id) + result = await func_tool.on_invoke_tool(tool_context, event.arguments) + + await self._transport.send_tool_output(event, str(result), True) + + await self._emit_event( + RealtimeToolEnd( + info=self._event_info, + tool=func_tool, + output=result, + agent=self._current_agent, + ) + ) + elif event.name in handoff_map: + # TODO (rm) Add support for handoffs + pass + else: + # TODO (rm) Add error handling + pass + + def _get_new_history( + self, + old_history: list[RealtimeItem], + event: RealtimeTransportInputAudioTranscriptionCompletedEvent | RealtimeItem, + ) -> list[RealtimeItem]: + # Merge transcript into placeholder input_audio message. + if isinstance(event, RealtimeTransportInputAudioTranscriptionCompletedEvent): + new_history: list[RealtimeItem] = [] + for item in old_history: + if item.item_id == event.item_id and item.type == "message" and item.role == "user": + content: list[InputText | InputAudio] = [] + for entry in item.content: + if entry.type == "input_audio": + copied_entry = entry.model_copy(update={"transcript": event.transcript}) + content.append(copied_entry) + else: + content.append(entry) # type: ignore + new_history.append( + item.model_copy(update={"content": content, "status": "completed"}) + ) + else: + new_history.append(item) + return new_history + + # Otherwise it's just a new item + # TODO (rm) Add support for audio storage config + + # If the item already exists, update it + existing_index = next( + (i for i, item in enumerate(old_history) if item.item_id == event.item_id), None + ) + if existing_index is not None: + new_history = old_history.copy() + new_history[existing_index] = event + return new_history + # Otherwise, insert it after the previous_item_id if that is set + elif item.previous_item_id: + # Insert the new item after the previous item + previous_index = next( + (i for i, item in enumerate(old_history) if item.item_id == event.previous_item_id), + None, + ) + if previous_index is not None: + new_history = old_history.copy() + new_history.insert(previous_index + 1, event) + return new_history + # Otherwise, add it to the end + return old_history + [event] diff --git a/src/agents/realtime/transport.py b/src/agents/realtime/transport.py new file mode 100644 index 000000000..18290d128 --- /dev/null +++ b/src/agents/realtime/transport.py @@ -0,0 +1,107 @@ +import abc +from typing import Any, Literal, Union + +from typing_extensions import NotRequired, TypeAlias, TypedDict + +from .config import APIKeyOrKeyFunc, RealtimeClientMessage, RealtimeSessionConfig, RealtimeUserInput +from .transport_events import RealtimeTransportEvent, RealtimeTransportToolCallEvent + +RealtimeModelName: TypeAlias = Union[ + Literal[ + "gpt-4o-realtime-preview", + "gpt-4o-mini-realtime-preview", + "gpt-4o-realtime-preview-2025-06-03", + "gpt-4o-realtime-preview-2024-12-17", + "gpt-4o-realtime-preview-2024-10-01", + "gpt-4o-mini-realtime-preview-2024-12-17", + ], + str, +] +"""The name of a realtime model.""" + + +class RealtimeTransportListener(abc.ABC): + """A listener for realtime transport events.""" + + @abc.abstractmethod + async def on_event(self, event: RealtimeTransportEvent) -> None: + """Called when an event is emitted by the realtime transport.""" + pass + + +class RealtimeTransportConnectionOptions(TypedDict): + """Options for connecting to a realtime transport.""" + + api_key: NotRequired[APIKeyOrKeyFunc] + """The API key to use for the transport. If unset, the transport will attempt to use the + `OPENAI_API_KEY` environment variable. + """ + + model: NotRequired[str] + """The model to use.""" + + url: NotRequired[str] + """The URL to use for the transport. If unset, the transport will use the default OpenAI + WebSocket URL. + """ + + initial_session_config: NotRequired[RealtimeSessionConfig] + + +class RealtimeSessionTransport(abc.ABC): + """A transport layer for realtime sessions.""" + + @abc.abstractmethod + async def connect(self, options: RealtimeTransportConnectionOptions) -> None: + """Establish a connection to the model and keep it alive.""" + pass + + @abc.abstractmethod + def add_listener(self, listener: RealtimeTransportListener) -> None: + """Add a listener to the transport.""" + pass + + @abc.abstractmethod + async def remove_listener(self, listener: RealtimeTransportListener) -> None: + """Remove a listener from the transport.""" + pass + + @abc.abstractmethod + async def send_event(self, event: RealtimeClientMessage) -> None: + """Send an event to the model.""" + pass + + @abc.abstractmethod + async def send_message( + self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None + ) -> None: + """Send a message to the model.""" + pass + + @abc.abstractmethod + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Send a raw audio chunk to the model. + + Args: + audio: The audio data to send. + commit: Whether to commit the audio buffer to the model. If the model does not do turn + detection, this can be used to indicate the turn is completed. + """ + pass + + @abc.abstractmethod + async def send_tool_output( + self, tool_call: RealtimeTransportToolCallEvent, output: str, start_response: bool + ) -> None: + """Send tool output to the model.""" + pass + + @abc.abstractmethod + async def interrupt(self) -> None: + """Interrupt the model. For example, could be triggered by a guardrail.""" + pass + + @abc.abstractmethod + async def close(self) -> None: + """Close the session.""" + pass diff --git a/src/agents/realtime/transport_events.py b/src/agents/realtime/transport_events.py new file mode 100644 index 000000000..d65e32591 --- /dev/null +++ b/src/agents/realtime/transport_events.py @@ -0,0 +1,148 @@ +from __future__ import annotations + +from dataclasses import dataclass +from typing import Any, Literal, TypeAlias, Union + +from agents.realtime.items import RealtimeItem + +RealtimeConnectionStatus: TypeAlias = Literal["connecting", "connected", "disconnected"] + + +@dataclass +class RealtimeTransportErrorEvent: + """Represents a transport‑layer error.""" + + error: Any + + type: Literal["error"] = "error" + + +@dataclass +class RealtimeTransportToolCallEvent: + """Model attempted a tool/function call.""" + + name: str + call_id: str + arguments: str + + id: str | None = None + previous_item_id: str | None = None + + type: Literal["function_call"] = "function_call" + + +@dataclass +class RealtimeTransportAudioEvent: + """Raw audio bytes emitted by the model.""" + + data: bytes + response_id: str + + type: Literal["audio"] = "audio" + + +@dataclass +class RealtimeTransportAudioInterruptedEvent: + """Audio interrupted.""" + + type: Literal["audio_interrupted"] = "audio_interrupted" + + +@dataclass +class RealtimeTransportAudioDoneEvent: + """Audio done.""" + + type: Literal["audio_done"] = "audio_done" + + +@dataclass +class RealtimeTransportInputAudioTranscriptionCompletedEvent: + """Input audio transcription completed.""" + + item_id: str + transcript: str + + type: Literal["conversation.item.input_audio_transcription.completed"] = ( + "conversation.item.input_audio_transcription.completed" + ) + + +@dataclass +class RealtimeTransportTranscriptDelta: + """Partial transcript update.""" + + item_id: str + delta: str + response_id: str + + type: Literal["transcript_delta"] = "transcript_delta" + + +@dataclass +class RealtimeTransportItemUpdatedEvent: + """Item added to the history or updated.""" + + item: RealtimeItem + + type: Literal["item_updated"] = "item_updated" + + +@dataclass +class RealtimeTransportItemDeletedEvent: + """Item deleted from the history.""" + + item_id: str + + type: Literal["item_deleted"] = "item_deleted" + + +@dataclass +class RealtimeTransportConnectionStatusEvent: + """Connection status changed.""" + + status: RealtimeConnectionStatus + + type: Literal["connection_status"] = "connection_status" + + +@dataclass +class RealtimeTransportTurnStartedEvent: + """Triggered when the model starts generating a response for a turn.""" + + type: Literal["turn_started"] = "turn_started" + + +@dataclass +class RealtimeTransportTurnEndedEvent: + """Triggered when the model finishes generating a response for a turn.""" + + type: Literal["turn_ended"] = "turn_ended" + + +@dataclass +class RealtimeTransportOtherEvent: + """Used as a catchall for vendor-specific events.""" + + data: Any + + type: Literal["other"] = "other" + + +# TODO (rm) Add usage events + + +RealtimeTransportEvent: TypeAlias = Union[ + RealtimeTransportErrorEvent, + RealtimeTransportToolCallEvent, + RealtimeTransportAudioEvent, + RealtimeTransportAudioInterruptedEvent, + RealtimeTransportAudioDoneEvent, + RealtimeTransportInputAudioTranscriptionCompletedEvent, + RealtimeTransportTranscriptDelta, + RealtimeTransportItemUpdatedEvent, + RealtimeTransportItemDeletedEvent, + RealtimeTransportConnectionStatusEvent, + RealtimeTransportTurnStartedEvent, + RealtimeTransportTurnEndedEvent, + RealtimeTransportOtherEvent, +] diff --git a/tests/realtime/test_transport_events.py b/tests/realtime/test_transport_events.py new file mode 100644 index 000000000..2219303d0 --- /dev/null +++ b/tests/realtime/test_transport_events.py @@ -0,0 +1,12 @@ +from typing import get_args + +from agents.realtime.transport_events import RealtimeTransportEvent + + +def test_all_events_have_type() -> None: + """Test that all events have a type.""" + events = get_args(RealtimeTransportEvent) + assert len(events) > 0 + for event in events: + assert event.type is not None + assert isinstance(event.type, str) From 1e2520c554e2b45b368ae21e21f29dfdf61a9e16 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 11:16:22 -0400 Subject: [PATCH 148/337] [1/n] Break Agent into AgentBase+Agent --- src/agents/__init__.py | 3 +- src/agents/agent.py | 113 +++++++++++++++++++----------------- src/agents/lifecycle.py | 43 ++++++++------ src/agents/mcp/server.py | 10 ++-- src/agents/mcp/util.py | 11 ++-- src/agents/tool.py | 11 ++-- tests/test_function_tool.py | 11 +++- 7 files changed, 111 insertions(+), 91 deletions(-) diff --git a/src/agents/__init__.py b/src/agents/__init__.py index 1296b72be..ca3c9f94a 100644 --- a/src/agents/__init__.py +++ b/src/agents/__init__.py @@ -5,7 +5,7 @@ from openai import AsyncOpenAI from . import _config -from .agent import Agent, ToolsToFinalOutputFunction, ToolsToFinalOutputResult +from .agent import Agent, AgentBase, ToolsToFinalOutputFunction, ToolsToFinalOutputResult from .agent_output import AgentOutputSchema, AgentOutputSchemaBase from .computer import AsyncComputer, Button, Computer, Environment from .exceptions import ( @@ -160,6 +160,7 @@ def enable_verbose_stdout_logging(): __all__ = [ "Agent", + "AgentBase", "ToolsToFinalOutputFunction", "ToolsToFinalOutputResult", "Runner", diff --git a/src/agents/agent.py b/src/agents/agent.py index 6c87297f1..cf5e687e2 100644 --- a/src/agents/agent.py +++ b/src/agents/agent.py @@ -67,7 +67,63 @@ class MCPConfig(TypedDict): @dataclass -class Agent(Generic[TContext]): +class AgentBase: + """Base class for `Agent` and `RealtimeAgent`.""" + + name: str + """The name of the agent.""" + + handoff_description: str | None = None + """A description of the agent. This is used when the agent is used as a handoff, so that an + LLM knows what it does and when to invoke it. + """ + + tools: list[Tool] = field(default_factory=list) + """A list of tools that the agent can use.""" + + mcp_servers: list[MCPServer] = field(default_factory=list) + """A list of [Model Context Protocol](https://modelcontextprotocol.io/) servers that + the agent can use. Every time the agent runs, it will include tools from these servers in the + list of available tools. + + NOTE: You are expected to manage the lifecycle of these servers. Specifically, you must call + `server.connect()` before passing it to the agent, and `server.cleanup()` when the server is no + longer needed. + """ + + mcp_config: MCPConfig = field(default_factory=lambda: MCPConfig()) + """Configuration for MCP servers.""" + + async def get_mcp_tools(self, run_context: RunContextWrapper[TContext]) -> list[Tool]: + """Fetches the available tools from the MCP servers.""" + convert_schemas_to_strict = self.mcp_config.get("convert_schemas_to_strict", False) + return await MCPUtil.get_all_function_tools( + self.mcp_servers, convert_schemas_to_strict, run_context, self + ) + + async def get_all_tools(self, run_context: RunContextWrapper[Any]) -> list[Tool]: + """All agent tools, including MCP tools and function tools.""" + mcp_tools = await self.get_mcp_tools(run_context) + + async def _check_tool_enabled(tool: Tool) -> bool: + if not isinstance(tool, FunctionTool): + return True + + attr = tool.is_enabled + if isinstance(attr, bool): + return attr + res = attr(run_context, self) + if inspect.isawaitable(res): + return bool(await res) + return bool(res) + + results = await asyncio.gather(*(_check_tool_enabled(t) for t in self.tools)) + enabled: list[Tool] = [t for t, ok in zip(self.tools, results) if ok] + return [*mcp_tools, *enabled] + + +@dataclass +class Agent(AgentBase, Generic[TContext]): """An agent is an AI model configured with instructions, tools, guardrails, handoffs and more. We strongly recommend passing `instructions`, which is the "system prompt" for the agent. In @@ -76,10 +132,9 @@ class Agent(Generic[TContext]): Agents are generic on the context type. The context is a (mutable) object you create. It is passed to tool functions, handoffs, guardrails, etc. - """ - name: str - """The name of the agent.""" + See `AgentBase` for base parameters that are shared with `RealtimeAgent`s. + """ instructions: ( str @@ -103,11 +158,6 @@ class Agent(Generic[TContext]): usable with OpenAI models, using the Responses API. """ - handoff_description: str | None = None - """A description of the agent. This is used when the agent is used as a handoff, so that an - LLM knows what it does and when to invoke it. - """ - handoffs: list[Agent[Any] | Handoff[TContext]] = field(default_factory=list) """Handoffs are sub-agents that the agent can delegate to. You can provide a list of handoffs, and the agent can choose to delegate to them if relevant. Allows for separation of concerns and @@ -125,22 +175,6 @@ class Agent(Generic[TContext]): """Configures model-specific tuning parameters (e.g. temperature, top_p). """ - tools: list[Tool] = field(default_factory=list) - """A list of tools that the agent can use.""" - - mcp_servers: list[MCPServer] = field(default_factory=list) - """A list of [Model Context Protocol](https://modelcontextprotocol.io/) servers that - the agent can use. Every time the agent runs, it will include tools from these servers in the - list of available tools. - - NOTE: You are expected to manage the lifecycle of these servers. Specifically, you must call - `server.connect()` before passing it to the agent, and `server.cleanup()` when the server is no - longer needed. - """ - - mcp_config: MCPConfig = field(default_factory=lambda: MCPConfig()) - """Configuration for MCP servers.""" - input_guardrails: list[InputGuardrail[TContext]] = field(default_factory=list) """A list of checks that run in parallel to the agent's execution, before generating a response. Runs only if the agent is the first agent in the chain. @@ -255,32 +289,3 @@ async def get_prompt( ) -> ResponsePromptParam | None: """Get the prompt for the agent.""" return await PromptUtil.to_model_input(self.prompt, run_context, self) - - async def get_mcp_tools( - self, run_context: RunContextWrapper[TContext] - ) -> list[Tool]: - """Fetches the available tools from the MCP servers.""" - convert_schemas_to_strict = self.mcp_config.get("convert_schemas_to_strict", False) - return await MCPUtil.get_all_function_tools( - self.mcp_servers, convert_schemas_to_strict, run_context, self - ) - - async def get_all_tools(self, run_context: RunContextWrapper[Any]) -> list[Tool]: - """All agent tools, including MCP tools and function tools.""" - mcp_tools = await self.get_mcp_tools(run_context) - - async def _check_tool_enabled(tool: Tool) -> bool: - if not isinstance(tool, FunctionTool): - return True - - attr = tool.is_enabled - if isinstance(attr, bool): - return attr - res = attr(run_context, self) - if inspect.isawaitable(res): - return bool(await res) - return bool(res) - - results = await asyncio.gather(*(_check_tool_enabled(t) for t in self.tools)) - enabled: list[Tool] = [t for t, ok in zip(self.tools, results) if ok] - return [*mcp_tools, *enabled] diff --git a/src/agents/lifecycle.py b/src/agents/lifecycle.py index 8643248b1..2cce496c8 100644 --- a/src/agents/lifecycle.py +++ b/src/agents/lifecycle.py @@ -1,25 +1,27 @@ from typing import Any, Generic -from .agent import Agent +from typing_extensions import TypeVar + +from .agent import Agent, AgentBase from .run_context import RunContextWrapper, TContext from .tool import Tool +TAgent = TypeVar("TAgent", bound=AgentBase, default=AgentBase) + -class RunHooks(Generic[TContext]): +class RunHooksBase(Generic[TContext, TAgent]): """A class that receives callbacks on various lifecycle events in an agent run. Subclass and override the methods you need. """ - async def on_agent_start( - self, context: RunContextWrapper[TContext], agent: Agent[TContext] - ) -> None: + async def on_agent_start(self, context: RunContextWrapper[TContext], agent: TAgent) -> None: """Called before the agent is invoked. Called each time the current agent changes.""" pass async def on_agent_end( self, context: RunContextWrapper[TContext], - agent: Agent[TContext], + agent: TAgent, output: Any, ) -> None: """Called when the agent produces a final output.""" @@ -28,8 +30,8 @@ async def on_agent_end( async def on_handoff( self, context: RunContextWrapper[TContext], - from_agent: Agent[TContext], - to_agent: Agent[TContext], + from_agent: TAgent, + to_agent: TAgent, ) -> None: """Called when a handoff occurs.""" pass @@ -37,7 +39,7 @@ async def on_handoff( async def on_tool_start( self, context: RunContextWrapper[TContext], - agent: Agent[TContext], + agent: TAgent, tool: Tool, ) -> None: """Called before a tool is invoked.""" @@ -46,7 +48,7 @@ async def on_tool_start( async def on_tool_end( self, context: RunContextWrapper[TContext], - agent: Agent[TContext], + agent: TAgent, tool: Tool, result: str, ) -> None: @@ -54,14 +56,14 @@ async def on_tool_end( pass -class AgentHooks(Generic[TContext]): +class AgentHooksBase(Generic[TContext, TAgent]): """A class that receives callbacks on various lifecycle events for a specific agent. You can set this on `agent.hooks` to receive events for that specific agent. Subclass and override the methods you need. """ - async def on_start(self, context: RunContextWrapper[TContext], agent: Agent[TContext]) -> None: + async def on_start(self, context: RunContextWrapper[TContext], agent: TAgent) -> None: """Called before the agent is invoked. Called each time the running agent is changed to this agent.""" pass @@ -69,7 +71,7 @@ async def on_start(self, context: RunContextWrapper[TContext], agent: Agent[TCon async def on_end( self, context: RunContextWrapper[TContext], - agent: Agent[TContext], + agent: TAgent, output: Any, ) -> None: """Called when the agent produces a final output.""" @@ -78,8 +80,8 @@ async def on_end( async def on_handoff( self, context: RunContextWrapper[TContext], - agent: Agent[TContext], - source: Agent[TContext], + agent: TAgent, + source: TAgent, ) -> None: """Called when the agent is being handed off to. The `source` is the agent that is handing off to this agent.""" @@ -88,7 +90,7 @@ async def on_handoff( async def on_tool_start( self, context: RunContextWrapper[TContext], - agent: Agent[TContext], + agent: TAgent, tool: Tool, ) -> None: """Called before a tool is invoked.""" @@ -97,9 +99,16 @@ async def on_tool_start( async def on_tool_end( self, context: RunContextWrapper[TContext], - agent: Agent[TContext], + agent: TAgent, tool: Tool, result: str, ) -> None: """Called after a tool is invoked.""" pass + + +RunHooks = RunHooksBase[TContext, Agent] +"""Run hooks when using `Agent`.""" + +AgentHooks = AgentHooksBase[TContext, Agent] +"""Agent hooks for `Agent`s.""" diff --git a/src/agents/mcp/server.py b/src/agents/mcp/server.py index 4fd606e34..91a9274fc 100644 --- a/src/agents/mcp/server.py +++ b/src/agents/mcp/server.py @@ -22,7 +22,7 @@ from .util import ToolFilter, ToolFilterCallable, ToolFilterContext, ToolFilterStatic if TYPE_CHECKING: - from ..agent import Agent + from ..agent import AgentBase class MCPServer(abc.ABC): @@ -53,7 +53,7 @@ async def cleanup(self): async def list_tools( self, run_context: RunContextWrapper[Any] | None = None, - agent: Agent[Any] | None = None, + agent: AgentBase | None = None, ) -> list[MCPTool]: """List the tools available on the server.""" pass @@ -117,7 +117,7 @@ async def _apply_tool_filter( self, tools: list[MCPTool], run_context: RunContextWrapper[Any], - agent: Agent[Any], + agent: AgentBase, ) -> list[MCPTool]: """Apply the tool filter to the list of tools.""" if self.tool_filter is None: @@ -153,7 +153,7 @@ async def _apply_dynamic_tool_filter( self, tools: list[MCPTool], run_context: RunContextWrapper[Any], - agent: Agent[Any], + agent: AgentBase, ) -> list[MCPTool]: """Apply dynamic tool filtering using a callable filter function.""" @@ -244,7 +244,7 @@ async def connect(self): async def list_tools( self, run_context: RunContextWrapper[Any] | None = None, - agent: Agent[Any] | None = None, + agent: AgentBase | None = None, ) -> list[MCPTool]: """List the tools available on the server.""" if not self.session: diff --git a/src/agents/mcp/util.py b/src/agents/mcp/util.py index 48da9f841..18cf4440a 100644 --- a/src/agents/mcp/util.py +++ b/src/agents/mcp/util.py @@ -5,12 +5,11 @@ from typing_extensions import NotRequired, TypedDict -from agents.strict_schema import ensure_strict_json_schema - from .. import _debug from ..exceptions import AgentsException, ModelBehaviorError, UserError from ..logger import logger from ..run_context import RunContextWrapper +from ..strict_schema import ensure_strict_json_schema from ..tool import FunctionTool, Tool from ..tracing import FunctionSpanData, get_current_span, mcp_tools_span from ..util._types import MaybeAwaitable @@ -18,7 +17,7 @@ if TYPE_CHECKING: from mcp.types import Tool as MCPTool - from ..agent import Agent + from ..agent import AgentBase from .server import MCPServer @@ -29,7 +28,7 @@ class ToolFilterContext: run_context: RunContextWrapper[Any] """The current run context.""" - agent: "Agent[Any]" + agent: "AgentBase" """The agent that is requesting the tool list.""" server_name: str @@ -100,7 +99,7 @@ async def get_all_function_tools( servers: list["MCPServer"], convert_schemas_to_strict: bool, run_context: RunContextWrapper[Any], - agent: "Agent[Any]", + agent: "AgentBase", ) -> list[Tool]: """Get all function tools from a list of MCP servers.""" tools = [] @@ -126,7 +125,7 @@ async def get_function_tools( server: "MCPServer", convert_schemas_to_strict: bool, run_context: RunContextWrapper[Any], - agent: "Agent[Any]", + agent: "AgentBase", ) -> list[Tool]: """Get all function tools from a single MCP server.""" diff --git a/src/agents/tool.py b/src/agents/tool.py index 3aab47752..0faf09846 100644 --- a/src/agents/tool.py +++ b/src/agents/tool.py @@ -30,8 +30,7 @@ from .util._types import MaybeAwaitable if TYPE_CHECKING: - - from .agent import Agent + from .agent import Agent, AgentBase ToolParams = ParamSpec("ToolParams") @@ -88,7 +87,7 @@ class FunctionTool: """Whether the JSON schema is in strict mode. We **strongly** recommend setting this to True, as it increases the likelihood of correct JSON input.""" - is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True + is_enabled: bool | Callable[[RunContextWrapper[Any], AgentBase], MaybeAwaitable[bool]] = True """Whether the tool is enabled. Either a bool or a Callable that takes the run context and agent and returns whether the tool is enabled. You can use this to dynamically enable/disable a tool based on your context/state.""" @@ -301,7 +300,7 @@ def function_tool( use_docstring_info: bool = True, failure_error_function: ToolErrorFunction | None = None, strict_mode: bool = True, - is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, + is_enabled: bool | Callable[[RunContextWrapper[Any], AgentBase], MaybeAwaitable[bool]] = True, ) -> FunctionTool: """Overload for usage as @function_tool (no parentheses).""" ... @@ -316,7 +315,7 @@ def function_tool( use_docstring_info: bool = True, failure_error_function: ToolErrorFunction | None = None, strict_mode: bool = True, - is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, + is_enabled: bool | Callable[[RunContextWrapper[Any], AgentBase], MaybeAwaitable[bool]] = True, ) -> Callable[[ToolFunction[...]], FunctionTool]: """Overload for usage as @function_tool(...).""" ... @@ -331,7 +330,7 @@ def function_tool( use_docstring_info: bool = True, failure_error_function: ToolErrorFunction | None = default_tool_error_function, strict_mode: bool = True, - is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, + is_enabled: bool | Callable[[RunContextWrapper[Any], AgentBase], MaybeAwaitable[bool]] = True, ) -> FunctionTool | Callable[[ToolFunction[...]], FunctionTool]: """ Decorator to create a FunctionTool from a function. By default, we will: diff --git a/tests/test_function_tool.py b/tests/test_function_tool.py index b232bf75e..9b02a2c42 100644 --- a/tests/test_function_tool.py +++ b/tests/test_function_tool.py @@ -5,7 +5,14 @@ from pydantic import BaseModel from typing_extensions import TypedDict -from agents import Agent, FunctionTool, ModelBehaviorError, RunContextWrapper, function_tool +from agents import ( + Agent, + AgentBase, + FunctionTool, + ModelBehaviorError, + RunContextWrapper, + function_tool, +) from agents.tool import default_tool_error_function from agents.tool_context import ToolContext @@ -268,7 +275,7 @@ async def test_is_enabled_bool_and_callable(): def disabled_tool(): return "nope" - async def cond_enabled(ctx: RunContextWrapper[BoolCtx], agent: Agent[Any]) -> bool: + async def cond_enabled(ctx: RunContextWrapper[BoolCtx], agent: AgentBase) -> bool: return ctx.context.enable_tools @function_tool(is_enabled=cond_enabled) From 6ad64c5665308bcbfd913a1548c4f7603f135a43 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 11:18:02 -0400 Subject: [PATCH 149/337] [2/n] Introduce RealtimeAgent --- src/agents/realtime/agent.py | 80 ++++++++++++++++++++++++++++++++++++ tests/realtime/test_agent.py | 25 +++++++++++ 2 files changed, 105 insertions(+) create mode 100644 src/agents/realtime/agent.py create mode 100644 tests/realtime/test_agent.py diff --git a/src/agents/realtime/agent.py b/src/agents/realtime/agent.py new file mode 100644 index 000000000..9bbed8cb4 --- /dev/null +++ b/src/agents/realtime/agent.py @@ -0,0 +1,80 @@ +from __future__ import annotations + +import dataclasses +import inspect +from collections.abc import Awaitable +from dataclasses import dataclass +from typing import Any, Callable, Generic, cast + +from ..agent import AgentBase +from ..lifecycle import AgentHooksBase, RunHooksBase +from ..logger import logger +from ..run_context import RunContextWrapper, TContext +from ..util._types import MaybeAwaitable + +RealtimeAgentHooks = AgentHooksBase[TContext, "RealtimeAgent[TContext]"] +"""Agent hooks for `RealtimeAgent`s.""" + +RealtimeRunHooks = RunHooksBase[TContext, "RealtimeAgent[TContext]"] +"""Run hooks for `RealtimeAgent`s.""" + + +@dataclass +class RealtimeAgent(AgentBase, Generic[TContext]): + """A specialized agent instance that is meant to be used within a `RealtimeSession` to build + voice agents. Due to the nature of this agent, some configuration options are not supported + that are supported by regular `Agent` instances. For example: + - `model` choice is not supported, as all RealtimeAgents will be handled by the same model + within a `RealtimeSession`. + - `modelSettings` is not supported, as all RealtimeAgents will be handled by the same model + within a `RealtimeSession`. + - `outputType` is not supported, as RealtimeAgents do not support structured outputs. + - `toolUseBehavior` is not supported, as all RealtimeAgents will be handled by the same model + within a `RealtimeSession`. + - `voice` can be configured on an `Agent` level; however, it cannot be changed after the first + agent within a `RealtimeSession` has spoken. + + See `AgentBase` for base parameters that are shared with `Agent`s. + """ + + instructions: ( + str + | Callable[ + [RunContextWrapper[TContext], RealtimeAgent[TContext]], + MaybeAwaitable[str], + ] + | None + ) = None + """The instructions for the agent. Will be used as the "system prompt" when this agent is + invoked. Describes what the agent should do, and how it responds. + + Can either be a string, or a function that dynamically generates instructions for the agent. If + you provide a function, it will be called with the context and the agent instance. It must + return a string. + """ + + hooks: RealtimeAgentHooks | None = None + """A class that receives callbacks on various lifecycle events for this agent. + """ + + def clone(self, **kwargs: Any) -> RealtimeAgent[TContext]: + """Make a copy of the agent, with the given arguments changed. For example, you could do: + ``` + new_agent = agent.clone(instructions="New instructions") + ``` + """ + return dataclasses.replace(self, **kwargs) + + async def get_system_prompt(self, run_context: RunContextWrapper[TContext]) -> str | None: + """Get the system prompt for the agent.""" + if isinstance(self.instructions, str): + return self.instructions + elif callable(self.instructions): + if inspect.iscoroutinefunction(self.instructions): + return await cast(Awaitable[str], self.instructions(run_context, self)) + else: + return cast(str, self.instructions(run_context, self)) + elif self.instructions is not None: + logger.error(f"Instructions must be a string or a function, got {self.instructions}") + + return None diff --git a/tests/realtime/test_agent.py b/tests/realtime/test_agent.py new file mode 100644 index 000000000..1e50a2584 --- /dev/null +++ b/tests/realtime/test_agent.py @@ -0,0 +1,25 @@ +import pytest + +from agents import RunContextWrapper +from agents.realtime import RealtimeAgent + + +def test_can_initialize_realtime_agent(): + agent = RealtimeAgent(name="test", instructions="Hello") + assert agent.name == "test" + assert agent.instructions == "Hello" + + +@pytest.mark.asyncio +async def test_dynamic_instructions(): + agent = RealtimeAgent(name="test") + assert agent.instructions is None + + def _instructions(ctx, agt) -> str: + assert ctx.context is None + assert agt == agent + return "Dynamic" + + agent = RealtimeAgent(name="test", instructions=_instructions) + instructions = await agent.get_system_prompt(RunContextWrapper(context=None)) + assert instructions == "Dynamic" From bcc3fd6c7ec614b86b34f3cd7a8e2b57891d491e Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 11:20:22 -0400 Subject: [PATCH 150/337] [3/n] Config and items for realtime --- src/agents/model_settings.py | 16 +++--- src/agents/realtime/config.py | 91 +++++++++++++++++++++++++++++++ src/agents/realtime/items.py | 100 ++++++++++++++++++++++++++++++++++ 3 files changed, 200 insertions(+), 7 deletions(-) create mode 100644 src/agents/realtime/config.py create mode 100644 src/agents/realtime/items.py diff --git a/src/agents/model_settings.py b/src/agents/model_settings.py index 26af94ba3..1ab179581 100644 --- a/src/agents/model_settings.py +++ b/src/agents/model_settings.py @@ -17,9 +17,9 @@ class _OmitTypeAnnotation: @classmethod def __get_pydantic_core_schema__( - cls, - _source_type: Any, - _handler: GetCoreSchemaHandler, + cls, + _source_type: Any, + _handler: GetCoreSchemaHandler, ) -> core_schema.CoreSchema: def validate_from_none(value: None) -> _Omit: return _Omit() @@ -39,12 +39,14 @@ def validate_from_none(value: None) -> _Omit: from_none_schema, ] ), - serialization=core_schema.plain_serializer_function_ser_schema( - lambda instance: None - ), + serialization=core_schema.plain_serializer_function_ser_schema(lambda instance: None), ) + + Omit = Annotated[_Omit, _OmitTypeAnnotation] Headers: TypeAlias = Mapping[str, Union[str, Omit]] +ToolChoice: TypeAlias = Literal["auto", "required", "none"] | str | None + @dataclass class ModelSettings: @@ -69,7 +71,7 @@ class ModelSettings: presence_penalty: float | None = None """The presence penalty to use when calling the model.""" - tool_choice: Literal["auto", "required", "none"] | str | None = None + tool_choice: ToolChoice | None = None """The tool choice to use when calling the model.""" parallel_tool_calls: bool | None = None diff --git a/src/agents/realtime/config.py b/src/agents/realtime/config.py new file mode 100644 index 000000000..aa15c837d --- /dev/null +++ b/src/agents/realtime/config.py @@ -0,0 +1,91 @@ +from __future__ import annotations + +import inspect +from typing import ( + Any, + Callable, + Literal, + Union, +) + +from typing_extensions import NotRequired, TypeAlias, TypedDict + +from ..model_settings import ToolChoice +from ..tool import FunctionTool +from ..util._types import MaybeAwaitable + + +class RealtimeClientMessage(TypedDict): + type: str # explicitly required + other_data: NotRequired[dict[str, Any]] + + +class UserInputText(TypedDict): + type: Literal["input_text"] + text: str + + +class RealtimeUserInputMessage(TypedDict): + type: Literal["message"] + role: Literal["user"] + content: list[UserInputText] + + +RealtimeUserInput: TypeAlias = Union[str, RealtimeUserInputMessage] + + +RealtimeAudioFormat: TypeAlias = Union[Literal["pcm16", "g711_ulaw", "g711_alaw"], str] + + +class RealtimeInputAudioTranscriptionConfig(TypedDict): + language: NotRequired[str] + model: NotRequired[Literal["gpt-4o-transcribe", "gpt-4o-mini-transcribe", "whisper-1"] | str] + prompt: NotRequired[str] + + +class RealtimeTurnDetectionConfig(TypedDict): + """Turn detection config. Allows extra vendor keys if needed.""" + + type: NotRequired[Literal["semantic_vad", "server_vad"]] + create_response: NotRequired[bool] + eagerness: NotRequired[Literal["auto", "low", "medium", "high"]] + interrupt_response: NotRequired[bool] + prefix_padding_ms: NotRequired[int] + silence_duration_ms: NotRequired[int] + threshold: NotRequired[float] + + +class RealtimeSessionConfig(TypedDict): + api_key: NotRequired[APIKeyOrKeyFunc] + model: NotRequired[str] + instructions: NotRequired[str] + modalities: NotRequired[list[Literal["text", "audio"]]] + voice: NotRequired[str] + + input_audio_format: NotRequired[RealtimeAudioFormat] + output_audio_format: NotRequired[RealtimeAudioFormat] + input_audio_transcription: NotRequired[RealtimeInputAudioTranscriptionConfig] + turn_detection: NotRequired[RealtimeTurnDetectionConfig] + + tool_choice: NotRequired[ToolChoice] + tools: NotRequired[list[FunctionTool]] + + +APIKeyOrKeyFunc = str | Callable[[], MaybeAwaitable[str]] +"""Either an API key or a function that returns an API key.""" + + +async def get_api_key(key: APIKeyOrKeyFunc | None) -> str | None: + """Get the API key from the key or key function.""" + if key is None: + return None + elif isinstance(key, str): + return key + + result = key() + if inspect.isawaitable(result): + return await result + return result + + # TODO (rm) Add tracing support + # tracing: NotRequired[RealtimeTracingConfig | None] diff --git a/src/agents/realtime/items.py b/src/agents/realtime/items.py new file mode 100644 index 000000000..117a35a02 --- /dev/null +++ b/src/agents/realtime/items.py @@ -0,0 +1,100 @@ +from __future__ import annotations + +from typing import Annotated, Literal, Union + +from pydantic import BaseModel, ConfigDict, Field + + +class InputText(BaseModel): + type: Literal["input_text"] = "input_text" + text: str + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class InputAudio(BaseModel): + type: Literal["input_audio"] = "input_audio" + audio: str | None = None + transcript: str | None = None + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class AssistantText(BaseModel): + type: Literal["text"] = "text" + text: str + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class AssistantAudio(BaseModel): + type: Literal["audio"] = "audio" + audio: str | None = None + transcript: str | None = None + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class SystemMessageItem(BaseModel): + item_id: str + previous_item_id: str | None = None + type: Literal["message"] = "message" + role: Literal["system"] = "system" + content: list[InputText] + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class UserMessageItem(BaseModel): + item_id: str + previous_item_id: str | None = None + type: Literal["message"] = "message" + role: Literal["user"] = "user" + content: list[InputText | InputAudio] + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class AssistantMessageItem(BaseModel): + item_id: str + previous_item_id: str | None = None + type: Literal["message"] = "message" + role: Literal["assistant"] = "assistant" + status: Literal["in_progress", "completed", "incomplete"] | None = None + content: list[AssistantText | AssistantAudio] + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +RealtimeMessageItem = Annotated[ + Union[SystemMessageItem, UserMessageItem, AssistantMessageItem], + Field(discriminator="role"), +] + + +class RealtimeToolCallItem(BaseModel): + item_id: str + previous_item_id: str | None = None + type: Literal["function_call"] = "function_call" + status: Literal["in_progress", "completed"] + arguments: str + name: str + output: str | None = None + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +RealtimeItem = RealtimeMessageItem | RealtimeToolCallItem + + +class RealtimeResponse(BaseModel): + id: str + output: list[RealtimeMessageItem] From 64c9b46912e73d1cc75c816133a24d6d14713260 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 11:22:24 -0400 Subject: [PATCH 151/337] [4/n] Transport interface + events --- src/agents/realtime/transport.py | 107 +++++++++++++++++ src/agents/realtime/transport_events.py | 148 ++++++++++++++++++++++++ tests/realtime/test_transport_events.py | 12 ++ 3 files changed, 267 insertions(+) create mode 100644 src/agents/realtime/transport.py create mode 100644 src/agents/realtime/transport_events.py create mode 100644 tests/realtime/test_transport_events.py diff --git a/src/agents/realtime/transport.py b/src/agents/realtime/transport.py new file mode 100644 index 000000000..18290d128 --- /dev/null +++ b/src/agents/realtime/transport.py @@ -0,0 +1,107 @@ +import abc +from typing import Any, Literal, Union + +from typing_extensions import NotRequired, TypeAlias, TypedDict + +from .config import APIKeyOrKeyFunc, RealtimeClientMessage, RealtimeSessionConfig, RealtimeUserInput +from .transport_events import RealtimeTransportEvent, RealtimeTransportToolCallEvent + +RealtimeModelName: TypeAlias = Union[ + Literal[ + "gpt-4o-realtime-preview", + "gpt-4o-mini-realtime-preview", + "gpt-4o-realtime-preview-2025-06-03", + "gpt-4o-realtime-preview-2024-12-17", + "gpt-4o-realtime-preview-2024-10-01", + "gpt-4o-mini-realtime-preview-2024-12-17", + ], + str, +] +"""The name of a realtime model.""" + + +class RealtimeTransportListener(abc.ABC): + """A listener for realtime transport events.""" + + @abc.abstractmethod + async def on_event(self, event: RealtimeTransportEvent) -> None: + """Called when an event is emitted by the realtime transport.""" + pass + + +class RealtimeTransportConnectionOptions(TypedDict): + """Options for connecting to a realtime transport.""" + + api_key: NotRequired[APIKeyOrKeyFunc] + """The API key to use for the transport. If unset, the transport will attempt to use the + `OPENAI_API_KEY` environment variable. + """ + + model: NotRequired[str] + """The model to use.""" + + url: NotRequired[str] + """The URL to use for the transport. If unset, the transport will use the default OpenAI + WebSocket URL. + """ + + initial_session_config: NotRequired[RealtimeSessionConfig] + + +class RealtimeSessionTransport(abc.ABC): + """A transport layer for realtime sessions.""" + + @abc.abstractmethod + async def connect(self, options: RealtimeTransportConnectionOptions) -> None: + """Establish a connection to the model and keep it alive.""" + pass + + @abc.abstractmethod + def add_listener(self, listener: RealtimeTransportListener) -> None: + """Add a listener to the transport.""" + pass + + @abc.abstractmethod + async def remove_listener(self, listener: RealtimeTransportListener) -> None: + """Remove a listener from the transport.""" + pass + + @abc.abstractmethod + async def send_event(self, event: RealtimeClientMessage) -> None: + """Send an event to the model.""" + pass + + @abc.abstractmethod + async def send_message( + self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None + ) -> None: + """Send a message to the model.""" + pass + + @abc.abstractmethod + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Send a raw audio chunk to the model. + + Args: + audio: The audio data to send. + commit: Whether to commit the audio buffer to the model. If the model does not do turn + detection, this can be used to indicate the turn is completed. + """ + pass + + @abc.abstractmethod + async def send_tool_output( + self, tool_call: RealtimeTransportToolCallEvent, output: str, start_response: bool + ) -> None: + """Send tool output to the model.""" + pass + + @abc.abstractmethod + async def interrupt(self) -> None: + """Interrupt the model. For example, could be triggered by a guardrail.""" + pass + + @abc.abstractmethod + async def close(self) -> None: + """Close the session.""" + pass diff --git a/src/agents/realtime/transport_events.py b/src/agents/realtime/transport_events.py new file mode 100644 index 000000000..596065654 --- /dev/null +++ b/src/agents/realtime/transport_events.py @@ -0,0 +1,148 @@ +from __future__ import annotations + +from dataclasses import dataclass +from typing import Any, Literal, TypeAlias, Union + +from .items import RealtimeItem + +RealtimeConnectionStatus: TypeAlias = Literal["connecting", "connected", "disconnected"] + + +@dataclass +class RealtimeTransportErrorEvent: + """Represents a transport‑layer error.""" + + error: Any + + type: Literal["error"] = "error" + + +@dataclass +class RealtimeTransportToolCallEvent: + """Model attempted a tool/function call.""" + + name: str + call_id: str + arguments: str + + id: str | None = None + previous_item_id: str | None = None + + type: Literal["function_call"] = "function_call" + + +@dataclass +class RealtimeTransportAudioEvent: + """Raw audio bytes emitted by the model.""" + + data: bytes + response_id: str + + type: Literal["audio"] = "audio" + + +@dataclass +class RealtimeTransportAudioInterruptedEvent: + """Audio interrupted.""" + + type: Literal["audio_interrupted"] = "audio_interrupted" + + +@dataclass +class RealtimeTransportAudioDoneEvent: + """Audio done.""" + + type: Literal["audio_done"] = "audio_done" + + +@dataclass +class RealtimeTransportInputAudioTranscriptionCompletedEvent: + """Input audio transcription completed.""" + + item_id: str + transcript: str + + type: Literal["conversation.item.input_audio_transcription.completed"] = ( + "conversation.item.input_audio_transcription.completed" + ) + + +@dataclass +class RealtimeTransportTranscriptDelta: + """Partial transcript update.""" + + item_id: str + delta: str + response_id: str + + type: Literal["transcript_delta"] = "transcript_delta" + + +@dataclass +class RealtimeTransportItemUpdatedEvent: + """Item added to the history or updated.""" + + item: RealtimeItem + + type: Literal["item_updated"] = "item_updated" + + +@dataclass +class RealtimeTransportItemDeletedEvent: + """Item deleted from the history.""" + + item_id: str + + type: Literal["item_deleted"] = "item_deleted" + + +@dataclass +class RealtimeTransportConnectionStatusEvent: + """Connection status changed.""" + + status: RealtimeConnectionStatus + + type: Literal["connection_status"] = "connection_status" + + +@dataclass +class RealtimeTransportTurnStartedEvent: + """Triggered when the model starts generating a response for a turn.""" + + type: Literal["turn_started"] = "turn_started" + + +@dataclass +class RealtimeTransportTurnEndedEvent: + """Triggered when the model finishes generating a response for a turn.""" + + type: Literal["turn_ended"] = "turn_ended" + + +@dataclass +class RealtimeTransportOtherEvent: + """Used as a catchall for vendor-specific events.""" + + data: Any + + type: Literal["other"] = "other" + + +# TODO (rm) Add usage events + + +RealtimeTransportEvent: TypeAlias = Union[ + RealtimeTransportErrorEvent, + RealtimeTransportToolCallEvent, + RealtimeTransportAudioEvent, + RealtimeTransportAudioInterruptedEvent, + RealtimeTransportAudioDoneEvent, + RealtimeTransportInputAudioTranscriptionCompletedEvent, + RealtimeTransportTranscriptDelta, + RealtimeTransportItemUpdatedEvent, + RealtimeTransportItemDeletedEvent, + RealtimeTransportConnectionStatusEvent, + RealtimeTransportTurnStartedEvent, + RealtimeTransportTurnEndedEvent, + RealtimeTransportOtherEvent, +] diff --git a/tests/realtime/test_transport_events.py b/tests/realtime/test_transport_events.py new file mode 100644 index 000000000..2219303d0 --- /dev/null +++ b/tests/realtime/test_transport_events.py @@ -0,0 +1,12 @@ +from typing import get_args + +from agents.realtime.transport_events import RealtimeTransportEvent + + +def test_all_events_have_type() -> None: + """Test that all events have a type.""" + events = get_args(RealtimeTransportEvent) + assert len(events) > 0 + for event in events: + assert event.type is not None + assert isinstance(event.type, str) From 63e2edd2b4dc1ce601f3240ec29edd4528ee9464 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 11:26:03 -0400 Subject: [PATCH 152/337] [5/n] OpenAI realtime transport impl --- pyproject.toml | 1 + src/agents/realtime/openai_realtime.py | 353 +++++++++++++++++++++++++ 2 files changed, 354 insertions(+) create mode 100644 src/agents/realtime/openai_realtime.py diff --git a/pyproject.toml b/pyproject.toml index e659348ca..44bc45947 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -37,6 +37,7 @@ Repository = "https://github.com/openai/openai-agents-python" voice = ["numpy>=2.2.0, <3; python_version>='3.10'", "websockets>=15.0, <16"] viz = ["graphviz>=0.17"] litellm = ["litellm>=1.67.4.post1, <2"] +realtime = ["websockets>=15.0, <16"] [dependency-groups] dev = [ diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py new file mode 100644 index 000000000..226eaed7d --- /dev/null +++ b/src/agents/realtime/openai_realtime.py @@ -0,0 +1,353 @@ +import asyncio +import base64 +import json +import os +from datetime import datetime +from typing import Any + +import websockets +from openai.types.beta.realtime.realtime_server_event import ( + RealtimeServerEvent as OpenAIRealtimeServerEvent, +) +from pydantic import TypeAdapter +from websockets.asyncio.client import ClientConnection + +from ..exceptions import UserError +from ..logger import logger +from .config import RealtimeClientMessage, RealtimeUserInput, get_api_key +from .items import RealtimeMessageItem, RealtimeToolCallItem +from .transport import ( + RealtimeSessionTransport, + RealtimeTransportConnectionOptions, + RealtimeTransportListener, +) +from .transport_events import ( + RealtimeTransportAudioDoneEvent, + RealtimeTransportAudioEvent, + RealtimeTransportAudioInterruptedEvent, + RealtimeTransportErrorEvent, + RealtimeTransportEvent, + RealtimeTransportInputAudioTranscriptionCompletedEvent, + RealtimeTransportItemDeletedEvent, + RealtimeTransportItemUpdatedEvent, + RealtimeTransportToolCallEvent, + RealtimeTransportTranscriptDelta, + RealtimeTransportTurnEndedEvent, + RealtimeTransportTurnStartedEvent, +) + + +class OpenAIRealtimeWebSocketTransport(RealtimeSessionTransport): + """A transport layer for realtime sessions that uses OpenAI's WebSocket API.""" + + def __init__(self) -> None: + self.model = "gpt-4o-realtime-preview" # Default model + self._websocket: ClientConnection | None = None + self._websocket_task: asyncio.Task[None] | None = None + self._listeners: list[RealtimeTransportListener] = [] + self._current_item_id: str | None = None + self._audio_start_time: datetime | None = None + self._audio_length_ms: float = 0.0 + self._ongoing_response: bool = False + self._current_audio_content_index: int | None = None + + async def connect(self, options: RealtimeTransportConnectionOptions) -> None: + """Establish a connection to the model and keep it alive.""" + assert self._websocket is None, "Already connected" + assert self._websocket_task is None, "Already connected" + + self.model = options.get("model", self.model) + api_key = await get_api_key(options.get("api_key", os.getenv("OPENAI_API_KEY"))) + + if not api_key: + raise UserError("API key is required but was not provided.") + + url = options.get("url", f"wss://api.openai.com/v1/realtime?model={self.model}") + + headers = { + "Authorization": f"Bearer {api_key}", + "OpenAI-Beta": "realtime=v1", + } + self._websocket = await websockets.connect(url, additional_headers=headers) + self._websocket_task = asyncio.create_task(self._listen_for_messages()) + + def add_listener(self, listener: RealtimeTransportListener) -> None: + """Add a listener to the transport.""" + self._listeners.append(listener) + + async def remove_listener(self, listener: RealtimeTransportListener) -> None: + """Remove a listener from the transport.""" + self._listeners.remove(listener) + + async def _emit_event(self, event: RealtimeTransportEvent) -> None: + """Emit an event to the listeners.""" + for listener in self._listeners: + await listener.on_event(event) + + async def _listen_for_messages(self): + assert self._websocket is not None, "Not connected" + + try: + async for message in self._websocket: + parsed = json.loads(message) + await self._handle_ws_event(parsed) + + except websockets.exceptions.ConnectionClosed: + # TODO connection closed handling (event, cleanup) + logger.warning("WebSocket connection closed") + except Exception as e: + logger.error(f"WebSocket error: {e}") + + async def send_event(self, event: RealtimeClientMessage) -> None: + """Send an event to the model.""" + assert self._websocket is not None, "Not connected" + converted_event = { + "type": event["type"], + } + + converted_event.update(event.get("other_data", {})) + + await self._websocket.send(json.dumps(converted_event)) + + async def send_message( + self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None + ) -> None: + """Send a message to the model.""" + message = ( + message + if isinstance(message, dict) + else { + "type": "message", + "role": "user", + "content": [{"type": "input_text", "text": message}], + } + ) + other_data = { + "item": message, + } + if other_event_data: + other_data.update(other_event_data) + + await self.send_event({"type": "conversation.item.create", "other_data": other_data}) + + await self.send_event({"type": "response.create"}) + + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Send a raw audio chunk to the model. + + Args: + audio: The audio data to send. + commit: Whether to commit the audio buffer to the model. If the model does not do turn + detection, this can be used to indicate the turn is completed. + """ + assert self._websocket is not None, "Not connected" + base64_audio = base64.b64encode(audio).decode("utf-8") + await self.send_event( + { + "type": "input_audio_buffer.append", + "other_data": { + "audio": base64_audio, + }, + } + ) + if commit: + await self.send_event({"type": "input_audio_buffer.commit"}) + + async def send_tool_output( + self, tool_call: RealtimeTransportToolCallEvent, output: str, start_response: bool + ) -> None: + """Send tool output to the model.""" + await self.send_event( + { + "type": "conversation.item.create", + "other_data": { + "item": { + "type": "function_call_output", + "output": output, + "call_id": tool_call.id, + }, + }, + } + ) + + tool_item = RealtimeToolCallItem( + item_id=tool_call.id or "", + previous_item_id=tool_call.previous_item_id, + type="function_call", + status="completed", + arguments=tool_call.arguments, + name=tool_call.name, + output=output, + ) + await self._emit_event(RealtimeTransportItemUpdatedEvent(item=tool_item)) + + if start_response: + await self.send_event({"type": "response.create"}) + + async def interrupt(self) -> None: + """Interrupt the model.""" + if not self._current_item_id or not self._audio_start_time: + return + + await self._cancel_response() + + elapsed_time_ms = (datetime.now() - self._audio_start_time).total_seconds() * 1000 + if elapsed_time_ms > 0 and elapsed_time_ms < self._audio_length_ms: + await self._emit_event(RealtimeTransportAudioInterruptedEvent()) + await self.send_event( + { + "type": "conversation.item.truncate", + "other_data": { + "item_id": self._current_item_id, + "content_index": self._current_audio_content_index, + "audio_end_ms": elapsed_time_ms, + }, + } + ) + + self._current_item_id = None + self._audio_start_time = None + self._audio_length_ms = 0.0 + self._current_audio_content_index = None + + async def close(self) -> None: + """Close the session.""" + if self._websocket: + await self._websocket.close() + self._websocket = None + if self._websocket_task: + self._websocket_task.cancel() + self._websocket_task = None + + async def _cancel_response(self) -> None: + if self._ongoing_response: + await self.send_event({"type": "response.cancel"}) + self._ongoing_response = False + + async def _handle_ws_event(self, event: dict[str, Any]): + try: + parsed: OpenAIRealtimeServerEvent = TypeAdapter( + OpenAIRealtimeServerEvent + ).validate_python(event) + except Exception as e: + logger.error(f"Invalid event: {event} - {e}") + await self._emit_event(RealtimeTransportErrorEvent(error=f"Invalid event: {event}")) + return + + if parsed.type == "response.audio.delta": + self._current_audio_content_index = parsed.content_index + self._current_item_id = parsed.item_id + if self._audio_start_time is None: + self._audio_start_time = datetime.now() + self._audio_length_ms = 0.0 + + audio_bytes = base64.b64decode(parsed.delta) + # Calculate audio length in ms using 24KHz pcm16le + self._audio_length_ms += len(audio_bytes) / 24 / 2 + await self._emit_event( + RealtimeTransportAudioEvent(data=audio_bytes, response_id=parsed.response_id) + ) + elif parsed.type == "response.audio.done": + await self._emit_event(RealtimeTransportAudioDoneEvent()) + elif parsed.type == "input_audio_buffer.speech_started": + await self.interrupt() + elif parsed.type == "response.created": + self._ongoing_response = True + await self._emit_event(RealtimeTransportTurnStartedEvent()) + elif parsed.type == "response.done": + self._ongoing_response = False + await self._emit_event(RealtimeTransportTurnEndedEvent()) + elif parsed.type == "session.created": + # TODO (rm) tracing stuff here + pass + elif parsed.type == "error": + await self._emit_event(RealtimeTransportErrorEvent(error=parsed.error)) + elif parsed.type == "conversation.item.deleted": + await self._emit_event(RealtimeTransportItemDeletedEvent(item_id=parsed.item_id)) + elif ( + parsed.type == "conversation.item.created" + or parsed.type == "conversation.item.retrieved" + ): + item = parsed.item + previous_item_id = ( + parsed.previous_item_id if parsed.type == "conversation.item.created" else None + ) + message_item: RealtimeMessageItem = TypeAdapter(RealtimeMessageItem).validate_python( + { + "item_id": item.id or "", + "previous_item_id": previous_item_id, + "type": item.type, + "role": item.role, + "content": item.content, + "status": "in_progress", + } + ) + await self._emit_event(RealtimeTransportItemUpdatedEvent(item=message_item)) + elif ( + parsed.type == "conversation.item.input_audio_transcription.completed" + or parsed.type == "conversation.item.truncated" + ): + await self.send_event( + { + "type": "conversation.item.retrieve", + "other_data": { + "item_id": self._current_item_id, + }, + } + ) + if parsed.type == "conversation.item.input_audio_transcription.completed": + await self._emit_event( + RealtimeTransportInputAudioTranscriptionCompletedEvent( + item_id=parsed.item_id, transcript=parsed.transcript + ) + ) + elif parsed.type == "response.audio_transcript.delta": + await self._emit_event( + RealtimeTransportTranscriptDelta( + item_id=parsed.item_id, delta=parsed.delta, response_id=parsed.response_id + ) + ) + elif ( + parsed.type == "conversation.item.input_audio_transcription.delta" + or parsed.type == "response.text.delta" + or parsed.type == "response.function_call_arguments.delta" + ): + # No support for partials yet + pass + elif ( + parsed.type == "response.output_item.added" + or parsed.type == "response.output_item.done" + ): + item = parsed.item + if item.type == "function_call" and item.status == "completed": + tool_call = RealtimeToolCallItem( + item_id=item.id or "", + previous_item_id=None, + type="function_call", + # We use the same item for tool call and output, so it will be completed by the + # output being added + status="in_progress", + arguments=item.arguments or "", + name=item.name or "", + output=None, + ) + await self._emit_event(RealtimeTransportItemUpdatedEvent(item=tool_call)) + await self._emit_event( + RealtimeTransportToolCallEvent( + call_id=item.id or "", + name=item.name or "", + arguments=item.arguments or "", + id=item.id or "", + ) + ) + elif item.type == "message": + message_item = TypeAdapter(RealtimeMessageItem).validate_python( + { + "item_id": item.id or "", + "type": item.type, + "role": item.role, + "content": item.content, + "status": "in_progress", + } + ) + await self._emit_event(RealtimeTransportItemUpdatedEvent(item=message_item)) From 86812973b86a6a3d8de50ba634eb557d60abf02b Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 11:27:18 -0400 Subject: [PATCH 153/337] [6/n] RealtimeSession + events --- src/agents/realtime/README.md | 3 + src/agents/realtime/__init__.py | 51 +++++ src/agents/realtime/events.py | 198 +++++++++++++++++ src/agents/realtime/session.py | 369 ++++++++++++++++++++++++++++++++ tests/realtime/__init__.py | 0 5 files changed, 621 insertions(+) create mode 100644 src/agents/realtime/README.md create mode 100644 src/agents/realtime/__init__.py create mode 100644 src/agents/realtime/events.py create mode 100644 src/agents/realtime/session.py create mode 100644 tests/realtime/__init__.py diff --git a/src/agents/realtime/README.md b/src/agents/realtime/README.md new file mode 100644 index 000000000..9acc23160 --- /dev/null +++ b/src/agents/realtime/README.md @@ -0,0 +1,3 @@ +# Realtime + +Realtime agents are in beta: expect some breaking changes over the next few weeks as we find issues and fix them. diff --git a/src/agents/realtime/__init__.py b/src/agents/realtime/__init__.py new file mode 100644 index 000000000..7e5d4932a --- /dev/null +++ b/src/agents/realtime/__init__.py @@ -0,0 +1,51 @@ +from .agent import RealtimeAgent, RealtimeAgentHooks, RealtimeRunHooks +from .config import APIKeyOrKeyFunc +from .events import ( + RealtimeAgentEndEvent, + RealtimeAgentStartEvent, + RealtimeAudio, + RealtimeAudioEnd, + RealtimeAudioInterrupted, + RealtimeError, + RealtimeHandoffEvent, + RealtimeHistoryAdded, + RealtimeHistoryUpdated, + RealtimeRawTransportEvent, + RealtimeSessionEvent, + RealtimeToolEnd, + RealtimeToolStart, +) +from .session import RealtimeSession +from .transport import ( + RealtimeModelName, + RealtimeSessionTransport, + RealtimeTransportConnectionOptions, + RealtimeTransportListener, +) + +__all__ = [ + "RealtimeAgent", + "RealtimeAgentHooks", + "RealtimeRunHooks", + "RealtimeSession", + "RealtimeSessionListener", + "RealtimeSessionListenerFunc", + "APIKeyOrKeyFunc", + "RealtimeModelName", + "RealtimeSessionTransport", + "RealtimeTransportListener", + "RealtimeTransportConnectionOptions", + "RealtimeSessionEvent", + "RealtimeAgentStartEvent", + "RealtimeAgentEndEvent", + "RealtimeHandoffEvent", + "RealtimeToolStart", + "RealtimeToolEnd", + "RealtimeRawTransportEvent", + "RealtimeAudioEnd", + "RealtimeAudio", + "RealtimeAudioInterrupted", + "RealtimeError", + "RealtimeHistoryUpdated", + "RealtimeHistoryAdded", +] diff --git a/src/agents/realtime/events.py b/src/agents/realtime/events.py new file mode 100644 index 000000000..bd6b7b5b0 --- /dev/null +++ b/src/agents/realtime/events.py @@ -0,0 +1,198 @@ +from dataclasses import dataclass +from typing import Any, Literal, Union + +from typing_extensions import TypeAlias + +from ..run_context import RunContextWrapper +from ..tool import Tool +from .agent import RealtimeAgent +from .items import RealtimeItem +from .transport_events import RealtimeTransportAudioEvent, RealtimeTransportEvent + + +@dataclass +class RealtimeEventInfo: + context: RunContextWrapper + """The context for the event.""" + + +@dataclass +class RealtimeAgentStartEvent: + """A new agent has started.""" + + agent: RealtimeAgent + """The new agent.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["agent_start"] = "agent_start" + + +@dataclass +class RealtimeAgentEndEvent: + """An agent has ended.""" + + agent: RealtimeAgent + """The agent that ended.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["agent_end"] = "agent_end" + + +@dataclass +class RealtimeHandoffEvent: + """An agent has handed off to another agent.""" + + from_agent: RealtimeAgent + """The agent that handed off.""" + + to_agent: RealtimeAgent + """The agent that was handed off to.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["handoff"] = "handoff" + + +@dataclass +class RealtimeToolStart: + """An agent is starting a tool call.""" + + agent: RealtimeAgent + """The agent that updated.""" + + tool: Tool + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["tool_start"] = "tool_start" + + +@dataclass +class RealtimeToolEnd: + """An agent has ended a tool call.""" + + agent: RealtimeAgent + """The agent that ended the tool call.""" + + tool: Tool + """The tool that was called.""" + + output: Any + """The output of the tool call.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["tool_end"] = "tool_end" + + +@dataclass +class RealtimeRawTransportEvent: + """Forwards raw events from the transport layer.""" + + data: RealtimeTransportEvent + """The raw data from the transport layer.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["raw_transport_event"] = "raw_transport_event" + + +@dataclass +class RealtimeAudioEnd: + """Triggered when the agent stops generating audio.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["audio_end"] = "audio_end" + + +@dataclass +class RealtimeAudio: + """Triggered when the agent generates new audio to be played.""" + + audio: RealtimeTransportAudioEvent + """The audio event from the transport layer.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["audio"] = "audio" + + +@dataclass +class RealtimeAudioInterrupted: + """Triggered when the agent is interrupted. Can be listened to by the user to stop audio + playback or give visual indicators to the user. + """ + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["audio_interrupted"] = "audio_interrupted" + + +@dataclass +class RealtimeError: + """An error has occurred.""" + + error: Any + """The error that occurred.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["error"] = "error" + + +@dataclass +class RealtimeHistoryUpdated: + """The history has been updated. Contains the full history of the session.""" + + history: list[RealtimeItem] + """The full history of the session.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["history_updated"] = "history_updated" + + +@dataclass +class RealtimeHistoryAdded: + """A new item has been added to the history.""" + + item: RealtimeItem + """The new item that was added to the history.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["history_added"] = "history_added" + + +# TODO (rm) Add guardrails + +RealtimeSessionEvent: TypeAlias = Union[ + RealtimeAgentStartEvent, + RealtimeAgentEndEvent, + RealtimeHandoffEvent, + RealtimeToolStart, + RealtimeToolEnd, + RealtimeRawTransportEvent, + RealtimeAudioEnd, + RealtimeAudio, + RealtimeAudioInterrupted, + RealtimeError, + RealtimeHistoryUpdated, + RealtimeHistoryAdded, +] +"""An event emitted by the realtime session.""" diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py new file mode 100644 index 000000000..fd2a0a3ff --- /dev/null +++ b/src/agents/realtime/session.py @@ -0,0 +1,369 @@ +"""Minimal realtime session implementation for voice agents.""" + +from __future__ import annotations + +import abc +import asyncio +from collections.abc import Awaitable +from typing import Any, Callable, Literal + +from typing_extensions import TypeAlias, assert_never + +from ..handoffs import Handoff +from ..run_context import RunContextWrapper +from ..tool import FunctionTool +from ..tool_context import ToolContext +from .agent import RealtimeAgent +from .config import APIKeyOrKeyFunc, RealtimeSessionConfig, RealtimeUserInput +from .events import ( + RealtimeAgentEndEvent, + RealtimeAgentStartEvent, + RealtimeAudio, + RealtimeAudioEnd, + RealtimeAudioInterrupted, + RealtimeError, + RealtimeEventInfo, + RealtimeHandoffEvent, # noqa: F401 + RealtimeHistoryAdded, + RealtimeHistoryUpdated, + RealtimeRawTransportEvent, + RealtimeSessionEvent, + RealtimeToolEnd, + RealtimeToolStart, +) +from .items import InputAudio, InputText, RealtimeItem +from .openai_realtime import OpenAIRealtimeWebSocketTransport +from .transport import ( + RealtimeModelName, + RealtimeSessionTransport, + RealtimeTransportConnectionOptions, + RealtimeTransportListener, +) +from .transport_events import ( + RealtimeTransportEvent, + RealtimeTransportInputAudioTranscriptionCompletedEvent, + RealtimeTransportToolCallEvent, +) + + +class RealtimeSessionListener(abc.ABC): + """A listener for realtime session events.""" + + @abc.abstractmethod + async def on_event(self, event: RealtimeSessionEvent) -> None: + """Called when an event is emitted by the realtime session.""" + pass + + +RealtimeSessionListenerFunc: TypeAlias = Callable[[RealtimeSessionEvent], Awaitable[None]] +"""A function that can be used as a listener for realtime session events.""" + + +class _RealtimeFuncListener(RealtimeSessionListener): + """A listener that wraps a function.""" + + def __init__(self, func: RealtimeSessionListenerFunc) -> None: + self._func = func + + async def on_event(self, event: RealtimeSessionEvent) -> None: + """Call the wrapped function with the event.""" + await self._func(event) + + +class RealtimeSession(RealtimeTransportListener): + """A `RealtimeSession` is the equivalent of `Runner` for realtime agents. It automatically + handles multiple turns by maintaining a persistent connection with the underlying transport + layer. + + The session manages the local history copy, executes tools, runs guardrails and facilitates + handoffs between agents. + + Since this code runs on your server, it uses WebSockets by default. You can optionally create + your own custom transport layer by implementing the `RealtimeSessionTransport` interface. + """ + + def __init__( + self, + starting_agent: RealtimeAgent, + *, + context: Any | None = None, + transport: Literal["websocket"] | RealtimeSessionTransport = "websocket", + api_key: APIKeyOrKeyFunc | None = None, + model: RealtimeModelName | None = None, + config: RealtimeSessionConfig | None = None, + # TODO (rm) Add guardrail support + # TODO (rm) Add tracing support + # TODO (rm) Add history audio storage config + ) -> None: + """Initialize the realtime session. + + Args: + starting_agent: The agent to start the session with. + context: The context to use for the session. + transport: The transport to use for the session. Defaults to using websockets. + api_key: The API key to use for the session. + model: The model to use. Must be a realtime model. + config: Override parameters to use. + """ + self._current_agent = starting_agent + self._context_wrapper = RunContextWrapper(context) + self._event_info = RealtimeEventInfo(context=self._context_wrapper) + self._override_config = config + self._history: list[RealtimeItem] = [] + self._model = model + self._api_key = api_key + + self._listeners: list[RealtimeSessionListener] = [] + + if transport == "websocket": + self._transport: RealtimeSessionTransport = OpenAIRealtimeWebSocketTransport() + else: + self._transport = transport + + async def __aenter__(self) -> RealtimeSession: + """Async context manager entry.""" + await self.connect() + return self + + async def __aexit__(self, _exc_type: Any, _exc_val: Any, _exc_tb: Any) -> None: + """Async context manager exit.""" + await self.end() + + async def connect(self) -> None: + """Start the session: connect to the model and start the connection.""" + self._transport.add_listener(self) + + config = await self.create_session_config( + overrides=self._override_config, + ) + + options: RealtimeTransportConnectionOptions = { + "initial_session_config": config, + } + + if config.get("api_key") is not None: + options["api_key"] = config["api_key"] + elif self._api_key is not None: + options["api_key"] = self._api_key + + if config.get("model") is not None: + options["model"] = config["model"] + elif self._model is not None: + options["model"] = self._model + + await self._transport.connect(options) + + await self._emit_event( + RealtimeHistoryUpdated( + history=self._history, + info=self._event_info, + ) + ) + + async def end(self) -> None: + """End the session: disconnect from the model and close the connection.""" + pass + + def add_listener(self, listener: RealtimeSessionListener | RealtimeSessionListenerFunc) -> None: + """Add a listener to the session.""" + if isinstance(listener, RealtimeSessionListener): + self._listeners.append(listener) + else: + self._listeners.append(_RealtimeFuncListener(listener)) + + def remove_listener( + self, listener: RealtimeSessionListener | RealtimeSessionListenerFunc + ) -> None: + """Remove a listener from the session.""" + if isinstance(listener, RealtimeSessionListener): + self._listeners.remove(listener) + else: + for x in self._listeners: + if isinstance(x, _RealtimeFuncListener) and x._func == listener: + self._listeners.remove(x) + break + + async def create_session_config( + self, overrides: RealtimeSessionConfig | None = None + ) -> RealtimeSessionConfig: + """Create the session config.""" + agent = self._current_agent + instructions, tools = await asyncio.gather( + agent.get_system_prompt(self._context_wrapper), + agent.get_all_tools(self._context_wrapper), + ) + config = RealtimeSessionConfig() + + if self._model is not None: + config["model"] = self._model + if instructions is not None: + config["instructions"] = instructions + if tools is not None: + config["tools"] = [tool for tool in tools if isinstance(tool, FunctionTool)] + + if overrides: + config.update(overrides) + + return config + + async def send_message(self, message: RealtimeUserInput) -> None: + """Send a message to the model.""" + await self._transport.send_message(message) + + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Send a raw audio chunk to the model.""" + await self._transport.send_audio(audio, commit=commit) + + async def interrupt(self) -> None: + """Interrupt the model.""" + await self._transport.interrupt() + + async def on_event(self, event: RealtimeTransportEvent) -> None: + """Called when an event is emitted by the realtime transport.""" + await self._emit_event(RealtimeRawTransportEvent(data=event, info=self._event_info)) + + if event.type == "error": + await self._emit_event(RealtimeError(info=self._event_info, error=event.error)) + elif event.type == "function_call": + await self._handle_tool_call(event) + elif event.type == "audio": + await self._emit_event(RealtimeAudio(info=self._event_info, audio=event)) + elif event.type == "audio_interrupted": + await self._emit_event(RealtimeAudioInterrupted(info=self._event_info)) + elif event.type == "audio_done": + await self._emit_event(RealtimeAudioEnd(info=self._event_info)) + elif event.type == "conversation.item.input_audio_transcription.completed": + self._history = self._get_new_history(self._history, event) + await self._emit_event( + RealtimeHistoryUpdated(info=self._event_info, history=self._history) + ) + elif event.type == "transcript_delta": + # TODO (rm) Add guardrails + pass + elif event.type == "item_updated": + is_new = any(item.item_id == event.item.item_id for item in self._history) + self._history = self._get_new_history(self._history, event.item) + if is_new: + new_item = next( + item for item in self._history if item.item_id == event.item.item_id + ) + await self._emit_event(RealtimeHistoryAdded(info=self._event_info, item=new_item)) + else: + await self._emit_event( + RealtimeHistoryUpdated(info=self._event_info, history=self._history) + ) + pass + elif event.type == "item_deleted": + deleted_id = event.item_id + self._history = [item for item in self._history if item.item_id != deleted_id] + await self._emit_event( + RealtimeHistoryUpdated(info=self._event_info, history=self._history) + ) + elif event.type == "connection_status": + pass + elif event.type == "turn_started": + await self._emit_event( + RealtimeAgentStartEvent( + agent=self._current_agent, + info=self._event_info, + ) + ) + elif event.type == "turn_ended": + await self._emit_event( + RealtimeAgentEndEvent( + agent=self._current_agent, + info=self._event_info, + ) + ) + elif event.type == "other": + pass + else: + assert_never(event) + + async def _emit_event(self, event: RealtimeSessionEvent) -> None: + """Emit an event to the listeners.""" + await asyncio.gather(*[listener.on_event(event) for listener in self._listeners]) + + async def _handle_tool_call(self, event: RealtimeTransportToolCallEvent) -> None: + all_tools = await self._current_agent.get_all_tools(self._context_wrapper) + function_map = {tool.name: tool for tool in all_tools if isinstance(tool, FunctionTool)} + handoff_map = {tool.name: tool for tool in all_tools if isinstance(tool, Handoff)} + + if event.name in function_map: + await self._emit_event( + RealtimeToolStart( + info=self._event_info, + tool=function_map[event.name], + agent=self._current_agent, + ) + ) + + func_tool = function_map[event.name] + tool_context = ToolContext.from_agent_context(self._context_wrapper, event.call_id) + result = await func_tool.on_invoke_tool(tool_context, event.arguments) + + await self._transport.send_tool_output(event, str(result), True) + + await self._emit_event( + RealtimeToolEnd( + info=self._event_info, + tool=func_tool, + output=result, + agent=self._current_agent, + ) + ) + elif event.name in handoff_map: + # TODO (rm) Add support for handoffs + pass + else: + # TODO (rm) Add error handling + pass + + def _get_new_history( + self, + old_history: list[RealtimeItem], + event: RealtimeTransportInputAudioTranscriptionCompletedEvent | RealtimeItem, + ) -> list[RealtimeItem]: + # Merge transcript into placeholder input_audio message. + if isinstance(event, RealtimeTransportInputAudioTranscriptionCompletedEvent): + new_history: list[RealtimeItem] = [] + for item in old_history: + if item.item_id == event.item_id and item.type == "message" and item.role == "user": + content: list[InputText | InputAudio] = [] + for entry in item.content: + if entry.type == "input_audio": + copied_entry = entry.model_copy(update={"transcript": event.transcript}) + content.append(copied_entry) + else: + content.append(entry) # type: ignore + new_history.append( + item.model_copy(update={"content": content, "status": "completed"}) + ) + else: + new_history.append(item) + return new_history + + # Otherwise it's just a new item + # TODO (rm) Add support for audio storage config + + # If the item already exists, update it + existing_index = next( + (i for i, item in enumerate(old_history) if item.item_id == event.item_id), None + ) + if existing_index is not None: + new_history = old_history.copy() + new_history[existing_index] = event + return new_history + # Otherwise, insert it after the previous_item_id if that is set + elif item.previous_item_id: + # Insert the new item after the previous item + previous_index = next( + (i for i, item in enumerate(old_history) if item.item_id == event.previous_item_id), + None, + ) + if previous_index is not None: + new_history = old_history.copy() + new_history.insert(previous_index + 1, event) + return new_history + # Otherwise, add it to the end + return old_history + [event] diff --git a/tests/realtime/__init__.py b/tests/realtime/__init__.py new file mode 100644 index 000000000..e69de29bb From 27d63000f1b495932e66ed1e845134f74abf8ec6 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 11:55:59 -0400 Subject: [PATCH 154/337] [7/n] Demo for realtime --- examples/realtime/demo.py | 101 +++++++++ examples/realtime/ui.py | 271 +++++++++++++++++++++++++ src/agents/realtime/openai_realtime.py | 4 +- uv.lock | 6 +- 4 files changed, 380 insertions(+), 2 deletions(-) create mode 100644 examples/realtime/demo.py create mode 100644 examples/realtime/ui.py diff --git a/examples/realtime/demo.py b/examples/realtime/demo.py new file mode 100644 index 000000000..a2ea96545 --- /dev/null +++ b/examples/realtime/demo.py @@ -0,0 +1,101 @@ +import asyncio +import os +import sys +from typing import TYPE_CHECKING + +import numpy as np + +# Add the current directory to path so we can import ui +sys.path.append(os.path.dirname(os.path.abspath(__file__))) + +from agents import function_tool +from agents.realtime import RealtimeAgent, RealtimeSession, RealtimeSessionEvent + +if TYPE_CHECKING: + from .ui import AppUI +else: + # Try both import styles + try: + # Try relative import first (when used as a package) + from .ui import AppUI + except ImportError: + # Fall back to direct import (when run as a script) + from ui import AppUI + + +@function_tool +def get_weather(city: str) -> str: + """Get the weather in a city.""" + return f"The weather in {city} is sunny." + + +agent = RealtimeAgent( + name="Assistant", + instructions="You always greet the user with 'Top of the morning to you'.", + tools=[get_weather], +) + + +class Example: + def __init__(self) -> None: + self.session = RealtimeSession(agent) + self.ui = AppUI() + self.ui.connected = asyncio.Event() + self.ui.last_audio_item_id = None + # Set the audio callback + self.ui.set_audio_callback(self.on_audio_recorded) + + async def run(self) -> None: + self.session.add_listener(self.on_event) + await self.session.connect() + self.ui.set_is_connected(True) + await self.ui.run_async() + + async def on_audio_recorded(self, audio_bytes: bytes) -> None: + """Called when audio is recorded by the UI.""" + try: + # Send the audio to the session + await self.session.send_audio(audio_bytes) + except Exception as e: + self.ui.log_message(f"Error sending audio: {e}") + + async def on_event(self, event: RealtimeSessionEvent) -> None: + # Display event in the UI + try: + if event.type == "agent_start": + self.ui.add_transcript(f"Agent started: {event.agent.name}") + elif event.type == "agent_end": + self.ui.add_transcript(f"Agent ended: {event.agent.name}") + elif event.type == "handoff": + self.ui.add_transcript( + f"Handoff from {event.from_agent.name} to {event.to_agent.name}" + ) + elif event.type == "tool_start": + self.ui.add_transcript(f"Tool started: {event.tool.name}") + elif event.type == "tool_end": + self.ui.add_transcript(f"Tool ended: {event.tool.name}; output: {event.output}") + elif event.type == "audio_end": + self.ui.add_transcript("Audio ended") + elif event.type == "audio": + np_audio = np.frombuffer(event.audio.data, dtype=np.int16) + self.ui.play_audio(np_audio) + elif event.type == "audio_interrupted": + self.ui.add_transcript("Audio interrupted") + elif event.type == "error": + self.ui.add_transcript(f"Error: {event.error}") + elif event.type == "history_updated": + pass + elif event.type == "history_added": + pass + elif event.type == "raw_transport_event": + self.ui.log_message(f"Raw transport event: {event.data}") + else: + self.ui.log_message(f"Unknown event type: {event.type}") + except Exception as e: + # This can happen if the UI has already exited + self.ui.log_message(f"Event handling error: {str(e)}") + + +if __name__ == "__main__": + example = Example() + asyncio.run(example.run()) diff --git a/examples/realtime/ui.py b/examples/realtime/ui.py new file mode 100644 index 000000000..1ba055835 --- /dev/null +++ b/examples/realtime/ui.py @@ -0,0 +1,271 @@ +from __future__ import annotations + +import asyncio +from collections.abc import Coroutine +from typing import Any, Callable + +import numpy as np +import numpy.typing as npt +import sounddevice as sd +from textual import events +from textual.app import App, ComposeResult +from textual.containers import Container, Horizontal +from textual.reactive import reactive +from textual.widgets import RichLog, Static +from typing_extensions import override + +CHUNK_LENGTH_S = 0.05 # 50ms +SAMPLE_RATE = 24000 +FORMAT = np.int16 +CHANNELS = 1 + + +class Header(Static): + """A header widget.""" + + @override + def render(self) -> str: + return "Realtime Demo" + + +class AudioStatusIndicator(Static): + """A widget that shows the current audio recording status.""" + + is_recording = reactive(False) + + @override + def render(self) -> str: + status = ( + "🔴 Conversation started." + if self.is_recording + else "⚪ Press SPACE to start the conversation (q to quit)" + ) + return status + + +class AppUI(App[None]): + CSS = """ + Screen { + background: #1a1b26; /* Dark blue-grey background */ + } + + Container { + border: double rgb(91, 164, 91); + } + + #input-container { + height: 5; /* Explicit height for input container */ + margin: 1 1; + padding: 1 2; + } + + #bottom-pane { + width: 100%; + height: 82%; /* Reduced to make room for session display */ + border: round rgb(205, 133, 63); + } + + #status-indicator { + height: 3; + content-align: center middle; + background: #2a2b36; + border: solid rgb(91, 164, 91); + margin: 1 1; + } + + #session-display { + height: 3; + content-align: center middle; + background: #2a2b36; + border: solid rgb(91, 164, 91); + margin: 1 1; + } + + #transcripts { + width: 50%; + height: 100%; + border-right: solid rgb(91, 164, 91); + } + + #transcripts-header { + height: 2; + background: #2a2b36; + content-align: center middle; + border-bottom: solid rgb(91, 164, 91); + } + + #transcripts-content { + height: 100%; + } + + #event-log { + width: 50%; + height: 100%; + } + + #event-log-header { + height: 2; + background: #2a2b36; + content-align: center middle; + border-bottom: solid rgb(91, 164, 91); + } + + #event-log-content { + height: 100%; + } + + Static { + color: white; + } + """ + + should_send_audio: asyncio.Event + connected: asyncio.Event + last_audio_item_id: str | None + audio_callback: Callable[[bytes], Coroutine[Any, Any, None]] | None + + def __init__(self) -> None: + super().__init__() + self.audio_player = sd.OutputStream( + samplerate=SAMPLE_RATE, + channels=CHANNELS, + dtype=FORMAT, + ) + self.should_send_audio = asyncio.Event() + self.connected = asyncio.Event() + self.audio_callback = None + + @override + def compose(self) -> ComposeResult: + """Create child widgets for the app.""" + with Container(): + yield Header(id="session-display") + yield AudioStatusIndicator(id="status-indicator") + with Container(id="bottom-pane"): + with Horizontal(): + with Container(id="transcripts"): + yield Static("Conversation transcript", id="transcripts-header") + yield RichLog( + id="transcripts-content", wrap=True, highlight=True, markup=True + ) + with Container(id="event-log"): + yield Static("Raw event log", id="event-log-header") + yield RichLog( + id="event-log-content", wrap=True, highlight=True, markup=True + ) + + def set_is_connected(self, is_connected: bool) -> None: + self.connected.set() if is_connected else self.connected.clear() + + def set_audio_callback(self, callback: Callable[[bytes], Coroutine[Any, Any, None]]) -> None: + """Set a callback function to be called when audio is recorded.""" + self.audio_callback = callback + + # High-level methods for UI operations + def set_header_text(self, text: str) -> None: + """Update the header text.""" + header = self.query_one("#session-display", Header) + header.update(text) + + def set_recording_status(self, is_recording: bool) -> None: + """Set the recording status indicator.""" + status_indicator = self.query_one(AudioStatusIndicator) + status_indicator.is_recording = is_recording + + def log_message(self, message: str) -> None: + """Add a message to the event log.""" + try: + log_pane = self.query_one("#event-log-content", RichLog) + log_pane.write(message) + except Exception: + # Handle the case where the widget might not be available + pass + + def add_transcript(self, message: str) -> None: + """Add a transcript message to the transcripts panel.""" + try: + transcript_pane = self.query_one("#transcripts-content", RichLog) + transcript_pane.write(message) + except Exception: + # Handle the case where the widget might not be available + pass + + def play_audio(self, audio_data: npt.NDArray[np.int16]) -> None: + """Play audio data through the audio player.""" + try: + self.audio_player.write(audio_data) + except Exception as e: + self.log_message(f"Audio play error: {e}") + + async def on_mount(self) -> None: + """Set up audio player and start the audio capture worker.""" + self.audio_player.start() + self.run_worker(self.capture_audio()) + + async def capture_audio(self) -> None: + """Capture audio from the microphone and send to the session.""" + # Wait for connection to be established + await self.connected.wait() + + # Set up audio input stream + stream = sd.InputStream( + channels=CHANNELS, + samplerate=SAMPLE_RATE, + dtype=FORMAT, + ) + + try: + # Wait for user to press spacebar to start + await self.should_send_audio.wait() + + stream.start() + self.set_recording_status(True) + self.log_message("Recording started - speak to the agent") + + # Buffer size in samples + read_size = int(SAMPLE_RATE * CHUNK_LENGTH_S) + + while True: + # Check if there's enough data to read + if stream.read_available < read_size: + await asyncio.sleep(0.01) # Small sleep to avoid CPU hogging + continue + + # Read audio data + data, _ = stream.read(read_size) + + # Convert numpy array to bytes + audio_bytes = data.tobytes() + + # Call audio callback if set + if self.audio_callback: + try: + await self.audio_callback(audio_bytes) + except Exception as e: + self.log_message(f"Audio callback error: {e}") + + # Yield control back to event loop + await asyncio.sleep(0) + + except Exception as e: + self.log_message(f"Audio capture error: {e}") + finally: + if stream.active: + stream.stop() + stream.close() + + async def on_key(self, event: events.Key) -> None: + """Handle key press events.""" + # add the keypress to the log + self.log_message(f"Key pressed: {event.key}") + + if event.key == "q": + self.audio_player.stop() + self.audio_player.close() + self.exit() + return + + if event.key == "space": # Spacebar + if not self.should_send_audio.is_set(): + self.should_send_audio.set() + self.set_recording_status(True) diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 226eaed7d..6dc34bcf1 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -231,7 +231,9 @@ async def _handle_ws_event(self, event: dict[str, Any]): ).validate_python(event) except Exception as e: logger.error(f"Invalid event: {event} - {e}") - await self._emit_event(RealtimeTransportErrorEvent(error=f"Invalid event: {event}")) + await self._emit_event( + RealtimeTransportErrorEvent(error=f"Invalid event: {event} - {e}") + ) return if parsed.type == "response.audio.delta": diff --git a/uv.lock b/uv.lock index d882c9bc5..880116f58 100644 --- a/uv.lock +++ b/uv.lock @@ -1496,6 +1496,9 @@ dependencies = [ litellm = [ { name = "litellm" }, ] +realtime = [ + { name = "websockets" }, +] viz = [ { name = "graphviz" }, ] @@ -1541,9 +1544,10 @@ requires-dist = [ { name = "requests", specifier = ">=2.0,<3" }, { name = "types-requests", specifier = ">=2.0,<3" }, { name = "typing-extensions", specifier = ">=4.12.2,<5" }, + { name = "websockets", marker = "extra == 'realtime'", specifier = ">=15.0,<16" }, { name = "websockets", marker = "extra == 'voice'", specifier = ">=15.0,<16" }, ] -provides-extras = ["voice", "viz", "litellm"] +provides-extras = ["voice", "viz", "litellm", "realtime"] [package.metadata.requires-dev] dev = [ From 0e27fd32951c097cf214bbe691ab8d8db9c498af Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 12:02:50 -0400 Subject: [PATCH 155/337] [1/n] Break Agent into AgentBase+Agent --- src/agents/__init__.py | 3 +- src/agents/agent.py | 84 ++++++++++++++++++++++++++----------- src/agents/lifecycle.py | 43 +++++++++++-------- src/agents/mcp/server.py | 10 ++--- src/agents/mcp/util.py | 11 +++-- src/agents/tool.py | 10 ++--- tests/test_function_tool.py | 11 ++++- 7 files changed, 111 insertions(+), 61 deletions(-) diff --git a/src/agents/__init__.py b/src/agents/__init__.py index 1bcb06e9f..7de17efdb 100644 --- a/src/agents/__init__.py +++ b/src/agents/__init__.py @@ -5,7 +5,7 @@ from openai import AsyncOpenAI from . import _config -from .agent import Agent, ToolsToFinalOutputFunction, ToolsToFinalOutputResult +from .agent import Agent, AgentBase, ToolsToFinalOutputFunction, ToolsToFinalOutputResult from .agent_output import AgentOutputSchema, AgentOutputSchemaBase from .computer import AsyncComputer, Button, Computer, Environment from .exceptions import ( @@ -161,6 +161,7 @@ def enable_verbose_stdout_logging(): __all__ = [ "Agent", + "AgentBase", "ToolsToFinalOutputFunction", "ToolsToFinalOutputResult", "Runner", diff --git a/src/agents/agent.py b/src/agents/agent.py index 2f77f5f2a..092dfcbac 100644 --- a/src/agents/agent.py +++ b/src/agents/agent.py @@ -67,7 +67,63 @@ class MCPConfig(TypedDict): @dataclass -class Agent(Generic[TContext]): +class AgentBase: + """Base class for `Agent` and `RealtimeAgent`.""" + + name: str + """The name of the agent.""" + + handoff_description: str | None = None + """A description of the agent. This is used when the agent is used as a handoff, so that an + LLM knows what it does and when to invoke it. + """ + + tools: list[Tool] = field(default_factory=list) + """A list of tools that the agent can use.""" + + mcp_servers: list[MCPServer] = field(default_factory=list) + """A list of [Model Context Protocol](https://modelcontextprotocol.io/) servers that + the agent can use. Every time the agent runs, it will include tools from these servers in the + list of available tools. + + NOTE: You are expected to manage the lifecycle of these servers. Specifically, you must call + `server.connect()` before passing it to the agent, and `server.cleanup()` when the server is no + longer needed. + """ + + mcp_config: MCPConfig = field(default_factory=lambda: MCPConfig()) + """Configuration for MCP servers.""" + + async def get_mcp_tools(self, run_context: RunContextWrapper[TContext]) -> list[Tool]: + """Fetches the available tools from the MCP servers.""" + convert_schemas_to_strict = self.mcp_config.get("convert_schemas_to_strict", False) + return await MCPUtil.get_all_function_tools( + self.mcp_servers, convert_schemas_to_strict, run_context, self + ) + + async def get_all_tools(self, run_context: RunContextWrapper[Any]) -> list[Tool]: + """All agent tools, including MCP tools and function tools.""" + mcp_tools = await self.get_mcp_tools(run_context) + + async def _check_tool_enabled(tool: Tool) -> bool: + if not isinstance(tool, FunctionTool): + return True + + attr = tool.is_enabled + if isinstance(attr, bool): + return attr + res = attr(run_context, self) + if inspect.isawaitable(res): + return bool(await res) + return bool(res) + + results = await asyncio.gather(*(_check_tool_enabled(t) for t in self.tools)) + enabled: list[Tool] = [t for t, ok in zip(self.tools, results) if ok] + return [*mcp_tools, *enabled] + + +@dataclass +class Agent(AgentBase, Generic[TContext]): """An agent is an AI model configured with instructions, tools, guardrails, handoffs and more. We strongly recommend passing `instructions`, which is the "system prompt" for the agent. In @@ -76,10 +132,9 @@ class Agent(Generic[TContext]): Agents are generic on the context type. The context is a (mutable) object you create. It is passed to tool functions, handoffs, guardrails, etc. - """ - name: str - """The name of the agent.""" + See `AgentBase` for base parameters that are shared with `RealtimeAgent`s. + """ instructions: ( str @@ -103,11 +158,6 @@ class Agent(Generic[TContext]): usable with OpenAI models, using the Responses API. """ - handoff_description: str | None = None - """A description of the agent. This is used when the agent is used as a handoff, so that an - LLM knows what it does and when to invoke it. - """ - handoffs: list[Agent[Any] | Handoff[TContext]] = field(default_factory=list) """Handoffs are sub-agents that the agent can delegate to. You can provide a list of handoffs, and the agent can choose to delegate to them if relevant. Allows for separation of concerns and @@ -125,22 +175,6 @@ class Agent(Generic[TContext]): """Configures model-specific tuning parameters (e.g. temperature, top_p). """ - tools: list[Tool] = field(default_factory=list) - """A list of tools that the agent can use.""" - - mcp_servers: list[MCPServer] = field(default_factory=list) - """A list of [Model Context Protocol](https://modelcontextprotocol.io/) servers that - the agent can use. Every time the agent runs, it will include tools from these servers in the - list of available tools. - - NOTE: You are expected to manage the lifecycle of these servers. Specifically, you must call - `server.connect()` before passing it to the agent, and `server.cleanup()` when the server is no - longer needed. - """ - - mcp_config: MCPConfig = field(default_factory=lambda: MCPConfig()) - """Configuration for MCP servers.""" - input_guardrails: list[InputGuardrail[TContext]] = field(default_factory=list) """A list of checks that run in parallel to the agent's execution, before generating a response. Runs only if the agent is the first agent in the chain. diff --git a/src/agents/lifecycle.py b/src/agents/lifecycle.py index 8643248b1..2cce496c8 100644 --- a/src/agents/lifecycle.py +++ b/src/agents/lifecycle.py @@ -1,25 +1,27 @@ from typing import Any, Generic -from .agent import Agent +from typing_extensions import TypeVar + +from .agent import Agent, AgentBase from .run_context import RunContextWrapper, TContext from .tool import Tool +TAgent = TypeVar("TAgent", bound=AgentBase, default=AgentBase) + -class RunHooks(Generic[TContext]): +class RunHooksBase(Generic[TContext, TAgent]): """A class that receives callbacks on various lifecycle events in an agent run. Subclass and override the methods you need. """ - async def on_agent_start( - self, context: RunContextWrapper[TContext], agent: Agent[TContext] - ) -> None: + async def on_agent_start(self, context: RunContextWrapper[TContext], agent: TAgent) -> None: """Called before the agent is invoked. Called each time the current agent changes.""" pass async def on_agent_end( self, context: RunContextWrapper[TContext], - agent: Agent[TContext], + agent: TAgent, output: Any, ) -> None: """Called when the agent produces a final output.""" @@ -28,8 +30,8 @@ async def on_agent_end( async def on_handoff( self, context: RunContextWrapper[TContext], - from_agent: Agent[TContext], - to_agent: Agent[TContext], + from_agent: TAgent, + to_agent: TAgent, ) -> None: """Called when a handoff occurs.""" pass @@ -37,7 +39,7 @@ async def on_handoff( async def on_tool_start( self, context: RunContextWrapper[TContext], - agent: Agent[TContext], + agent: TAgent, tool: Tool, ) -> None: """Called before a tool is invoked.""" @@ -46,7 +48,7 @@ async def on_tool_start( async def on_tool_end( self, context: RunContextWrapper[TContext], - agent: Agent[TContext], + agent: TAgent, tool: Tool, result: str, ) -> None: @@ -54,14 +56,14 @@ async def on_tool_end( pass -class AgentHooks(Generic[TContext]): +class AgentHooksBase(Generic[TContext, TAgent]): """A class that receives callbacks on various lifecycle events for a specific agent. You can set this on `agent.hooks` to receive events for that specific agent. Subclass and override the methods you need. """ - async def on_start(self, context: RunContextWrapper[TContext], agent: Agent[TContext]) -> None: + async def on_start(self, context: RunContextWrapper[TContext], agent: TAgent) -> None: """Called before the agent is invoked. Called each time the running agent is changed to this agent.""" pass @@ -69,7 +71,7 @@ async def on_start(self, context: RunContextWrapper[TContext], agent: Agent[TCon async def on_end( self, context: RunContextWrapper[TContext], - agent: Agent[TContext], + agent: TAgent, output: Any, ) -> None: """Called when the agent produces a final output.""" @@ -78,8 +80,8 @@ async def on_end( async def on_handoff( self, context: RunContextWrapper[TContext], - agent: Agent[TContext], - source: Agent[TContext], + agent: TAgent, + source: TAgent, ) -> None: """Called when the agent is being handed off to. The `source` is the agent that is handing off to this agent.""" @@ -88,7 +90,7 @@ async def on_handoff( async def on_tool_start( self, context: RunContextWrapper[TContext], - agent: Agent[TContext], + agent: TAgent, tool: Tool, ) -> None: """Called before a tool is invoked.""" @@ -97,9 +99,16 @@ async def on_tool_start( async def on_tool_end( self, context: RunContextWrapper[TContext], - agent: Agent[TContext], + agent: TAgent, tool: Tool, result: str, ) -> None: """Called after a tool is invoked.""" pass + + +RunHooks = RunHooksBase[TContext, Agent] +"""Run hooks when using `Agent`.""" + +AgentHooks = AgentHooksBase[TContext, Agent] +"""Agent hooks for `Agent`s.""" diff --git a/src/agents/mcp/server.py b/src/agents/mcp/server.py index 4fd606e34..91a9274fc 100644 --- a/src/agents/mcp/server.py +++ b/src/agents/mcp/server.py @@ -22,7 +22,7 @@ from .util import ToolFilter, ToolFilterCallable, ToolFilterContext, ToolFilterStatic if TYPE_CHECKING: - from ..agent import Agent + from ..agent import AgentBase class MCPServer(abc.ABC): @@ -53,7 +53,7 @@ async def cleanup(self): async def list_tools( self, run_context: RunContextWrapper[Any] | None = None, - agent: Agent[Any] | None = None, + agent: AgentBase | None = None, ) -> list[MCPTool]: """List the tools available on the server.""" pass @@ -117,7 +117,7 @@ async def _apply_tool_filter( self, tools: list[MCPTool], run_context: RunContextWrapper[Any], - agent: Agent[Any], + agent: AgentBase, ) -> list[MCPTool]: """Apply the tool filter to the list of tools.""" if self.tool_filter is None: @@ -153,7 +153,7 @@ async def _apply_dynamic_tool_filter( self, tools: list[MCPTool], run_context: RunContextWrapper[Any], - agent: Agent[Any], + agent: AgentBase, ) -> list[MCPTool]: """Apply dynamic tool filtering using a callable filter function.""" @@ -244,7 +244,7 @@ async def connect(self): async def list_tools( self, run_context: RunContextWrapper[Any] | None = None, - agent: Agent[Any] | None = None, + agent: AgentBase | None = None, ) -> list[MCPTool]: """List the tools available on the server.""" if not self.session: diff --git a/src/agents/mcp/util.py b/src/agents/mcp/util.py index 48da9f841..18cf4440a 100644 --- a/src/agents/mcp/util.py +++ b/src/agents/mcp/util.py @@ -5,12 +5,11 @@ from typing_extensions import NotRequired, TypedDict -from agents.strict_schema import ensure_strict_json_schema - from .. import _debug from ..exceptions import AgentsException, ModelBehaviorError, UserError from ..logger import logger from ..run_context import RunContextWrapper +from ..strict_schema import ensure_strict_json_schema from ..tool import FunctionTool, Tool from ..tracing import FunctionSpanData, get_current_span, mcp_tools_span from ..util._types import MaybeAwaitable @@ -18,7 +17,7 @@ if TYPE_CHECKING: from mcp.types import Tool as MCPTool - from ..agent import Agent + from ..agent import AgentBase from .server import MCPServer @@ -29,7 +28,7 @@ class ToolFilterContext: run_context: RunContextWrapper[Any] """The current run context.""" - agent: "Agent[Any]" + agent: "AgentBase" """The agent that is requesting the tool list.""" server_name: str @@ -100,7 +99,7 @@ async def get_all_function_tools( servers: list["MCPServer"], convert_schemas_to_strict: bool, run_context: RunContextWrapper[Any], - agent: "Agent[Any]", + agent: "AgentBase", ) -> list[Tool]: """Get all function tools from a list of MCP servers.""" tools = [] @@ -126,7 +125,7 @@ async def get_function_tools( server: "MCPServer", convert_schemas_to_strict: bool, run_context: RunContextWrapper[Any], - agent: "Agent[Any]", + agent: "AgentBase", ) -> list[Tool]: """Get all function tools from a single MCP server.""" diff --git a/src/agents/tool.py b/src/agents/tool.py index f2861b936..0faf09846 100644 --- a/src/agents/tool.py +++ b/src/agents/tool.py @@ -30,7 +30,7 @@ from .util._types import MaybeAwaitable if TYPE_CHECKING: - from .agent import Agent + from .agent import Agent, AgentBase ToolParams = ParamSpec("ToolParams") @@ -87,7 +87,7 @@ class FunctionTool: """Whether the JSON schema is in strict mode. We **strongly** recommend setting this to True, as it increases the likelihood of correct JSON input.""" - is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True + is_enabled: bool | Callable[[RunContextWrapper[Any], AgentBase], MaybeAwaitable[bool]] = True """Whether the tool is enabled. Either a bool or a Callable that takes the run context and agent and returns whether the tool is enabled. You can use this to dynamically enable/disable a tool based on your context/state.""" @@ -300,7 +300,7 @@ def function_tool( use_docstring_info: bool = True, failure_error_function: ToolErrorFunction | None = None, strict_mode: bool = True, - is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, + is_enabled: bool | Callable[[RunContextWrapper[Any], AgentBase], MaybeAwaitable[bool]] = True, ) -> FunctionTool: """Overload for usage as @function_tool (no parentheses).""" ... @@ -315,7 +315,7 @@ def function_tool( use_docstring_info: bool = True, failure_error_function: ToolErrorFunction | None = None, strict_mode: bool = True, - is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, + is_enabled: bool | Callable[[RunContextWrapper[Any], AgentBase], MaybeAwaitable[bool]] = True, ) -> Callable[[ToolFunction[...]], FunctionTool]: """Overload for usage as @function_tool(...).""" ... @@ -330,7 +330,7 @@ def function_tool( use_docstring_info: bool = True, failure_error_function: ToolErrorFunction | None = default_tool_error_function, strict_mode: bool = True, - is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, + is_enabled: bool | Callable[[RunContextWrapper[Any], AgentBase], MaybeAwaitable[bool]] = True, ) -> FunctionTool | Callable[[ToolFunction[...]], FunctionTool]: """ Decorator to create a FunctionTool from a function. By default, we will: diff --git a/tests/test_function_tool.py b/tests/test_function_tool.py index b232bf75e..9b02a2c42 100644 --- a/tests/test_function_tool.py +++ b/tests/test_function_tool.py @@ -5,7 +5,14 @@ from pydantic import BaseModel from typing_extensions import TypedDict -from agents import Agent, FunctionTool, ModelBehaviorError, RunContextWrapper, function_tool +from agents import ( + Agent, + AgentBase, + FunctionTool, + ModelBehaviorError, + RunContextWrapper, + function_tool, +) from agents.tool import default_tool_error_function from agents.tool_context import ToolContext @@ -268,7 +275,7 @@ async def test_is_enabled_bool_and_callable(): def disabled_tool(): return "nope" - async def cond_enabled(ctx: RunContextWrapper[BoolCtx], agent: Agent[Any]) -> bool: + async def cond_enabled(ctx: RunContextWrapper[BoolCtx], agent: AgentBase) -> bool: return ctx.context.enable_tools @function_tool(is_enabled=cond_enabled) From a35fffc079a59078717d4b89ec94c838d35e765d Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 12:02:50 -0400 Subject: [PATCH 156/337] [2/n] Introduce RealtimeAgent --- src/agents/realtime/agent.py | 80 ++++++++++++++++++++++++++++++++++++ tests/realtime/test_agent.py | 25 +++++++++++ 2 files changed, 105 insertions(+) create mode 100644 src/agents/realtime/agent.py create mode 100644 tests/realtime/test_agent.py diff --git a/src/agents/realtime/agent.py b/src/agents/realtime/agent.py new file mode 100644 index 000000000..9bbed8cb4 --- /dev/null +++ b/src/agents/realtime/agent.py @@ -0,0 +1,80 @@ +from __future__ import annotations + +import dataclasses +import inspect +from collections.abc import Awaitable +from dataclasses import dataclass +from typing import Any, Callable, Generic, cast + +from ..agent import AgentBase +from ..lifecycle import AgentHooksBase, RunHooksBase +from ..logger import logger +from ..run_context import RunContextWrapper, TContext +from ..util._types import MaybeAwaitable + +RealtimeAgentHooks = AgentHooksBase[TContext, "RealtimeAgent[TContext]"] +"""Agent hooks for `RealtimeAgent`s.""" + +RealtimeRunHooks = RunHooksBase[TContext, "RealtimeAgent[TContext]"] +"""Run hooks for `RealtimeAgent`s.""" + + +@dataclass +class RealtimeAgent(AgentBase, Generic[TContext]): + """A specialized agent instance that is meant to be used within a `RealtimeSession` to build + voice agents. Due to the nature of this agent, some configuration options are not supported + that are supported by regular `Agent` instances. For example: + - `model` choice is not supported, as all RealtimeAgents will be handled by the same model + within a `RealtimeSession`. + - `modelSettings` is not supported, as all RealtimeAgents will be handled by the same model + within a `RealtimeSession`. + - `outputType` is not supported, as RealtimeAgents do not support structured outputs. + - `toolUseBehavior` is not supported, as all RealtimeAgents will be handled by the same model + within a `RealtimeSession`. + - `voice` can be configured on an `Agent` level; however, it cannot be changed after the first + agent within a `RealtimeSession` has spoken. + + See `AgentBase` for base parameters that are shared with `Agent`s. + """ + + instructions: ( + str + | Callable[ + [RunContextWrapper[TContext], RealtimeAgent[TContext]], + MaybeAwaitable[str], + ] + | None + ) = None + """The instructions for the agent. Will be used as the "system prompt" when this agent is + invoked. Describes what the agent should do, and how it responds. + + Can either be a string, or a function that dynamically generates instructions for the agent. If + you provide a function, it will be called with the context and the agent instance. It must + return a string. + """ + + hooks: RealtimeAgentHooks | None = None + """A class that receives callbacks on various lifecycle events for this agent. + """ + + def clone(self, **kwargs: Any) -> RealtimeAgent[TContext]: + """Make a copy of the agent, with the given arguments changed. For example, you could do: + ``` + new_agent = agent.clone(instructions="New instructions") + ``` + """ + return dataclasses.replace(self, **kwargs) + + async def get_system_prompt(self, run_context: RunContextWrapper[TContext]) -> str | None: + """Get the system prompt for the agent.""" + if isinstance(self.instructions, str): + return self.instructions + elif callable(self.instructions): + if inspect.iscoroutinefunction(self.instructions): + return await cast(Awaitable[str], self.instructions(run_context, self)) + else: + return cast(str, self.instructions(run_context, self)) + elif self.instructions is not None: + logger.error(f"Instructions must be a string or a function, got {self.instructions}") + + return None diff --git a/tests/realtime/test_agent.py b/tests/realtime/test_agent.py new file mode 100644 index 000000000..1e50a2584 --- /dev/null +++ b/tests/realtime/test_agent.py @@ -0,0 +1,25 @@ +import pytest + +from agents import RunContextWrapper +from agents.realtime import RealtimeAgent + + +def test_can_initialize_realtime_agent(): + agent = RealtimeAgent(name="test", instructions="Hello") + assert agent.name == "test" + assert agent.instructions == "Hello" + + +@pytest.mark.asyncio +async def test_dynamic_instructions(): + agent = RealtimeAgent(name="test") + assert agent.instructions is None + + def _instructions(ctx, agt) -> str: + assert ctx.context is None + assert agt == agent + return "Dynamic" + + agent = RealtimeAgent(name="test", instructions=_instructions) + instructions = await agent.get_system_prompt(RunContextWrapper(context=None)) + assert instructions == "Dynamic" From 7dcc37c4d296ab9466144834061a78d723f5b833 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 12:02:50 -0400 Subject: [PATCH 157/337] [3/n] Config and items for realtime --- src/agents/model_settings.py | 4 +- src/agents/realtime/config.py | 91 +++++++++++++++++++++++++++++++ src/agents/realtime/items.py | 100 ++++++++++++++++++++++++++++++++++ 3 files changed, 194 insertions(+), 1 deletion(-) create mode 100644 src/agents/realtime/config.py create mode 100644 src/agents/realtime/items.py diff --git a/src/agents/model_settings.py b/src/agents/model_settings.py index f81f10989..9f29a0305 100644 --- a/src/agents/model_settings.py +++ b/src/agents/model_settings.py @@ -45,6 +45,8 @@ def validate_from_none(value: None) -> _Omit: Omit = Annotated[_Omit, _OmitTypeAnnotation] Headers: TypeAlias = Mapping[str, Union[str, Omit]] +ToolChoice: TypeAlias = Literal["auto", "required", "none"] | str | None + @dataclass @@ -70,7 +72,7 @@ class ModelSettings: presence_penalty: float | None = None """The presence penalty to use when calling the model.""" - tool_choice: Literal["auto", "required", "none"] | str | None = None + tool_choice: ToolChoice | None = None """The tool choice to use when calling the model.""" parallel_tool_calls: bool | None = None diff --git a/src/agents/realtime/config.py b/src/agents/realtime/config.py new file mode 100644 index 000000000..aa15c837d --- /dev/null +++ b/src/agents/realtime/config.py @@ -0,0 +1,91 @@ +from __future__ import annotations + +import inspect +from typing import ( + Any, + Callable, + Literal, + Union, +) + +from typing_extensions import NotRequired, TypeAlias, TypedDict + +from ..model_settings import ToolChoice +from ..tool import FunctionTool +from ..util._types import MaybeAwaitable + + +class RealtimeClientMessage(TypedDict): + type: str # explicitly required + other_data: NotRequired[dict[str, Any]] + + +class UserInputText(TypedDict): + type: Literal["input_text"] + text: str + + +class RealtimeUserInputMessage(TypedDict): + type: Literal["message"] + role: Literal["user"] + content: list[UserInputText] + + +RealtimeUserInput: TypeAlias = Union[str, RealtimeUserInputMessage] + + +RealtimeAudioFormat: TypeAlias = Union[Literal["pcm16", "g711_ulaw", "g711_alaw"], str] + + +class RealtimeInputAudioTranscriptionConfig(TypedDict): + language: NotRequired[str] + model: NotRequired[Literal["gpt-4o-transcribe", "gpt-4o-mini-transcribe", "whisper-1"] | str] + prompt: NotRequired[str] + + +class RealtimeTurnDetectionConfig(TypedDict): + """Turn detection config. Allows extra vendor keys if needed.""" + + type: NotRequired[Literal["semantic_vad", "server_vad"]] + create_response: NotRequired[bool] + eagerness: NotRequired[Literal["auto", "low", "medium", "high"]] + interrupt_response: NotRequired[bool] + prefix_padding_ms: NotRequired[int] + silence_duration_ms: NotRequired[int] + threshold: NotRequired[float] + + +class RealtimeSessionConfig(TypedDict): + api_key: NotRequired[APIKeyOrKeyFunc] + model: NotRequired[str] + instructions: NotRequired[str] + modalities: NotRequired[list[Literal["text", "audio"]]] + voice: NotRequired[str] + + input_audio_format: NotRequired[RealtimeAudioFormat] + output_audio_format: NotRequired[RealtimeAudioFormat] + input_audio_transcription: NotRequired[RealtimeInputAudioTranscriptionConfig] + turn_detection: NotRequired[RealtimeTurnDetectionConfig] + + tool_choice: NotRequired[ToolChoice] + tools: NotRequired[list[FunctionTool]] + + +APIKeyOrKeyFunc = str | Callable[[], MaybeAwaitable[str]] +"""Either an API key or a function that returns an API key.""" + + +async def get_api_key(key: APIKeyOrKeyFunc | None) -> str | None: + """Get the API key from the key or key function.""" + if key is None: + return None + elif isinstance(key, str): + return key + + result = key() + if inspect.isawaitable(result): + return await result + return result + + # TODO (rm) Add tracing support + # tracing: NotRequired[RealtimeTracingConfig | None] diff --git a/src/agents/realtime/items.py b/src/agents/realtime/items.py new file mode 100644 index 000000000..117a35a02 --- /dev/null +++ b/src/agents/realtime/items.py @@ -0,0 +1,100 @@ +from __future__ import annotations + +from typing import Annotated, Literal, Union + +from pydantic import BaseModel, ConfigDict, Field + + +class InputText(BaseModel): + type: Literal["input_text"] = "input_text" + text: str + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class InputAudio(BaseModel): + type: Literal["input_audio"] = "input_audio" + audio: str | None = None + transcript: str | None = None + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class AssistantText(BaseModel): + type: Literal["text"] = "text" + text: str + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class AssistantAudio(BaseModel): + type: Literal["audio"] = "audio" + audio: str | None = None + transcript: str | None = None + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class SystemMessageItem(BaseModel): + item_id: str + previous_item_id: str | None = None + type: Literal["message"] = "message" + role: Literal["system"] = "system" + content: list[InputText] + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class UserMessageItem(BaseModel): + item_id: str + previous_item_id: str | None = None + type: Literal["message"] = "message" + role: Literal["user"] = "user" + content: list[InputText | InputAudio] + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class AssistantMessageItem(BaseModel): + item_id: str + previous_item_id: str | None = None + type: Literal["message"] = "message" + role: Literal["assistant"] = "assistant" + status: Literal["in_progress", "completed", "incomplete"] | None = None + content: list[AssistantText | AssistantAudio] + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +RealtimeMessageItem = Annotated[ + Union[SystemMessageItem, UserMessageItem, AssistantMessageItem], + Field(discriminator="role"), +] + + +class RealtimeToolCallItem(BaseModel): + item_id: str + previous_item_id: str | None = None + type: Literal["function_call"] = "function_call" + status: Literal["in_progress", "completed"] + arguments: str + name: str + output: str | None = None + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +RealtimeItem = RealtimeMessageItem | RealtimeToolCallItem + + +class RealtimeResponse(BaseModel): + id: str + output: list[RealtimeMessageItem] From 201179c4a6ba35f9e5ede04a3904137496f34860 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 12:02:50 -0400 Subject: [PATCH 158/337] [4/n] Transport interface + events --- src/agents/realtime/transport.py | 107 +++++++++++++++++ src/agents/realtime/transport_events.py | 148 ++++++++++++++++++++++++ tests/realtime/test_transport_events.py | 12 ++ 3 files changed, 267 insertions(+) create mode 100644 src/agents/realtime/transport.py create mode 100644 src/agents/realtime/transport_events.py create mode 100644 tests/realtime/test_transport_events.py diff --git a/src/agents/realtime/transport.py b/src/agents/realtime/transport.py new file mode 100644 index 000000000..18290d128 --- /dev/null +++ b/src/agents/realtime/transport.py @@ -0,0 +1,107 @@ +import abc +from typing import Any, Literal, Union + +from typing_extensions import NotRequired, TypeAlias, TypedDict + +from .config import APIKeyOrKeyFunc, RealtimeClientMessage, RealtimeSessionConfig, RealtimeUserInput +from .transport_events import RealtimeTransportEvent, RealtimeTransportToolCallEvent + +RealtimeModelName: TypeAlias = Union[ + Literal[ + "gpt-4o-realtime-preview", + "gpt-4o-mini-realtime-preview", + "gpt-4o-realtime-preview-2025-06-03", + "gpt-4o-realtime-preview-2024-12-17", + "gpt-4o-realtime-preview-2024-10-01", + "gpt-4o-mini-realtime-preview-2024-12-17", + ], + str, +] +"""The name of a realtime model.""" + + +class RealtimeTransportListener(abc.ABC): + """A listener for realtime transport events.""" + + @abc.abstractmethod + async def on_event(self, event: RealtimeTransportEvent) -> None: + """Called when an event is emitted by the realtime transport.""" + pass + + +class RealtimeTransportConnectionOptions(TypedDict): + """Options for connecting to a realtime transport.""" + + api_key: NotRequired[APIKeyOrKeyFunc] + """The API key to use for the transport. If unset, the transport will attempt to use the + `OPENAI_API_KEY` environment variable. + """ + + model: NotRequired[str] + """The model to use.""" + + url: NotRequired[str] + """The URL to use for the transport. If unset, the transport will use the default OpenAI + WebSocket URL. + """ + + initial_session_config: NotRequired[RealtimeSessionConfig] + + +class RealtimeSessionTransport(abc.ABC): + """A transport layer for realtime sessions.""" + + @abc.abstractmethod + async def connect(self, options: RealtimeTransportConnectionOptions) -> None: + """Establish a connection to the model and keep it alive.""" + pass + + @abc.abstractmethod + def add_listener(self, listener: RealtimeTransportListener) -> None: + """Add a listener to the transport.""" + pass + + @abc.abstractmethod + async def remove_listener(self, listener: RealtimeTransportListener) -> None: + """Remove a listener from the transport.""" + pass + + @abc.abstractmethod + async def send_event(self, event: RealtimeClientMessage) -> None: + """Send an event to the model.""" + pass + + @abc.abstractmethod + async def send_message( + self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None + ) -> None: + """Send a message to the model.""" + pass + + @abc.abstractmethod + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Send a raw audio chunk to the model. + + Args: + audio: The audio data to send. + commit: Whether to commit the audio buffer to the model. If the model does not do turn + detection, this can be used to indicate the turn is completed. + """ + pass + + @abc.abstractmethod + async def send_tool_output( + self, tool_call: RealtimeTransportToolCallEvent, output: str, start_response: bool + ) -> None: + """Send tool output to the model.""" + pass + + @abc.abstractmethod + async def interrupt(self) -> None: + """Interrupt the model. For example, could be triggered by a guardrail.""" + pass + + @abc.abstractmethod + async def close(self) -> None: + """Close the session.""" + pass diff --git a/src/agents/realtime/transport_events.py b/src/agents/realtime/transport_events.py new file mode 100644 index 000000000..596065654 --- /dev/null +++ b/src/agents/realtime/transport_events.py @@ -0,0 +1,148 @@ +from __future__ import annotations + +from dataclasses import dataclass +from typing import Any, Literal, TypeAlias, Union + +from .items import RealtimeItem + +RealtimeConnectionStatus: TypeAlias = Literal["connecting", "connected", "disconnected"] + + +@dataclass +class RealtimeTransportErrorEvent: + """Represents a transport‑layer error.""" + + error: Any + + type: Literal["error"] = "error" + + +@dataclass +class RealtimeTransportToolCallEvent: + """Model attempted a tool/function call.""" + + name: str + call_id: str + arguments: str + + id: str | None = None + previous_item_id: str | None = None + + type: Literal["function_call"] = "function_call" + + +@dataclass +class RealtimeTransportAudioEvent: + """Raw audio bytes emitted by the model.""" + + data: bytes + response_id: str + + type: Literal["audio"] = "audio" + + +@dataclass +class RealtimeTransportAudioInterruptedEvent: + """Audio interrupted.""" + + type: Literal["audio_interrupted"] = "audio_interrupted" + + +@dataclass +class RealtimeTransportAudioDoneEvent: + """Audio done.""" + + type: Literal["audio_done"] = "audio_done" + + +@dataclass +class RealtimeTransportInputAudioTranscriptionCompletedEvent: + """Input audio transcription completed.""" + + item_id: str + transcript: str + + type: Literal["conversation.item.input_audio_transcription.completed"] = ( + "conversation.item.input_audio_transcription.completed" + ) + + +@dataclass +class RealtimeTransportTranscriptDelta: + """Partial transcript update.""" + + item_id: str + delta: str + response_id: str + + type: Literal["transcript_delta"] = "transcript_delta" + + +@dataclass +class RealtimeTransportItemUpdatedEvent: + """Item added to the history or updated.""" + + item: RealtimeItem + + type: Literal["item_updated"] = "item_updated" + + +@dataclass +class RealtimeTransportItemDeletedEvent: + """Item deleted from the history.""" + + item_id: str + + type: Literal["item_deleted"] = "item_deleted" + + +@dataclass +class RealtimeTransportConnectionStatusEvent: + """Connection status changed.""" + + status: RealtimeConnectionStatus + + type: Literal["connection_status"] = "connection_status" + + +@dataclass +class RealtimeTransportTurnStartedEvent: + """Triggered when the model starts generating a response for a turn.""" + + type: Literal["turn_started"] = "turn_started" + + +@dataclass +class RealtimeTransportTurnEndedEvent: + """Triggered when the model finishes generating a response for a turn.""" + + type: Literal["turn_ended"] = "turn_ended" + + +@dataclass +class RealtimeTransportOtherEvent: + """Used as a catchall for vendor-specific events.""" + + data: Any + + type: Literal["other"] = "other" + + +# TODO (rm) Add usage events + + +RealtimeTransportEvent: TypeAlias = Union[ + RealtimeTransportErrorEvent, + RealtimeTransportToolCallEvent, + RealtimeTransportAudioEvent, + RealtimeTransportAudioInterruptedEvent, + RealtimeTransportAudioDoneEvent, + RealtimeTransportInputAudioTranscriptionCompletedEvent, + RealtimeTransportTranscriptDelta, + RealtimeTransportItemUpdatedEvent, + RealtimeTransportItemDeletedEvent, + RealtimeTransportConnectionStatusEvent, + RealtimeTransportTurnStartedEvent, + RealtimeTransportTurnEndedEvent, + RealtimeTransportOtherEvent, +] diff --git a/tests/realtime/test_transport_events.py b/tests/realtime/test_transport_events.py new file mode 100644 index 000000000..2219303d0 --- /dev/null +++ b/tests/realtime/test_transport_events.py @@ -0,0 +1,12 @@ +from typing import get_args + +from agents.realtime.transport_events import RealtimeTransportEvent + + +def test_all_events_have_type() -> None: + """Test that all events have a type.""" + events = get_args(RealtimeTransportEvent) + assert len(events) > 0 + for event in events: + assert event.type is not None + assert isinstance(event.type, str) From 5f2ecc6f952a8c8d963b6edfabfd8157886d140f Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 12:02:50 -0400 Subject: [PATCH 159/337] [5/n] OpenAI realtime transport impl --- pyproject.toml | 1 + src/agents/realtime/openai_realtime.py | 353 +++++++++++++++++++++++++ 2 files changed, 354 insertions(+) create mode 100644 src/agents/realtime/openai_realtime.py diff --git a/pyproject.toml b/pyproject.toml index e659348ca..44bc45947 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -37,6 +37,7 @@ Repository = "https://github.com/openai/openai-agents-python" voice = ["numpy>=2.2.0, <3; python_version>='3.10'", "websockets>=15.0, <16"] viz = ["graphviz>=0.17"] litellm = ["litellm>=1.67.4.post1, <2"] +realtime = ["websockets>=15.0, <16"] [dependency-groups] dev = [ diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py new file mode 100644 index 000000000..226eaed7d --- /dev/null +++ b/src/agents/realtime/openai_realtime.py @@ -0,0 +1,353 @@ +import asyncio +import base64 +import json +import os +from datetime import datetime +from typing import Any + +import websockets +from openai.types.beta.realtime.realtime_server_event import ( + RealtimeServerEvent as OpenAIRealtimeServerEvent, +) +from pydantic import TypeAdapter +from websockets.asyncio.client import ClientConnection + +from ..exceptions import UserError +from ..logger import logger +from .config import RealtimeClientMessage, RealtimeUserInput, get_api_key +from .items import RealtimeMessageItem, RealtimeToolCallItem +from .transport import ( + RealtimeSessionTransport, + RealtimeTransportConnectionOptions, + RealtimeTransportListener, +) +from .transport_events import ( + RealtimeTransportAudioDoneEvent, + RealtimeTransportAudioEvent, + RealtimeTransportAudioInterruptedEvent, + RealtimeTransportErrorEvent, + RealtimeTransportEvent, + RealtimeTransportInputAudioTranscriptionCompletedEvent, + RealtimeTransportItemDeletedEvent, + RealtimeTransportItemUpdatedEvent, + RealtimeTransportToolCallEvent, + RealtimeTransportTranscriptDelta, + RealtimeTransportTurnEndedEvent, + RealtimeTransportTurnStartedEvent, +) + + +class OpenAIRealtimeWebSocketTransport(RealtimeSessionTransport): + """A transport layer for realtime sessions that uses OpenAI's WebSocket API.""" + + def __init__(self) -> None: + self.model = "gpt-4o-realtime-preview" # Default model + self._websocket: ClientConnection | None = None + self._websocket_task: asyncio.Task[None] | None = None + self._listeners: list[RealtimeTransportListener] = [] + self._current_item_id: str | None = None + self._audio_start_time: datetime | None = None + self._audio_length_ms: float = 0.0 + self._ongoing_response: bool = False + self._current_audio_content_index: int | None = None + + async def connect(self, options: RealtimeTransportConnectionOptions) -> None: + """Establish a connection to the model and keep it alive.""" + assert self._websocket is None, "Already connected" + assert self._websocket_task is None, "Already connected" + + self.model = options.get("model", self.model) + api_key = await get_api_key(options.get("api_key", os.getenv("OPENAI_API_KEY"))) + + if not api_key: + raise UserError("API key is required but was not provided.") + + url = options.get("url", f"wss://api.openai.com/v1/realtime?model={self.model}") + + headers = { + "Authorization": f"Bearer {api_key}", + "OpenAI-Beta": "realtime=v1", + } + self._websocket = await websockets.connect(url, additional_headers=headers) + self._websocket_task = asyncio.create_task(self._listen_for_messages()) + + def add_listener(self, listener: RealtimeTransportListener) -> None: + """Add a listener to the transport.""" + self._listeners.append(listener) + + async def remove_listener(self, listener: RealtimeTransportListener) -> None: + """Remove a listener from the transport.""" + self._listeners.remove(listener) + + async def _emit_event(self, event: RealtimeTransportEvent) -> None: + """Emit an event to the listeners.""" + for listener in self._listeners: + await listener.on_event(event) + + async def _listen_for_messages(self): + assert self._websocket is not None, "Not connected" + + try: + async for message in self._websocket: + parsed = json.loads(message) + await self._handle_ws_event(parsed) + + except websockets.exceptions.ConnectionClosed: + # TODO connection closed handling (event, cleanup) + logger.warning("WebSocket connection closed") + except Exception as e: + logger.error(f"WebSocket error: {e}") + + async def send_event(self, event: RealtimeClientMessage) -> None: + """Send an event to the model.""" + assert self._websocket is not None, "Not connected" + converted_event = { + "type": event["type"], + } + + converted_event.update(event.get("other_data", {})) + + await self._websocket.send(json.dumps(converted_event)) + + async def send_message( + self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None + ) -> None: + """Send a message to the model.""" + message = ( + message + if isinstance(message, dict) + else { + "type": "message", + "role": "user", + "content": [{"type": "input_text", "text": message}], + } + ) + other_data = { + "item": message, + } + if other_event_data: + other_data.update(other_event_data) + + await self.send_event({"type": "conversation.item.create", "other_data": other_data}) + + await self.send_event({"type": "response.create"}) + + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Send a raw audio chunk to the model. + + Args: + audio: The audio data to send. + commit: Whether to commit the audio buffer to the model. If the model does not do turn + detection, this can be used to indicate the turn is completed. + """ + assert self._websocket is not None, "Not connected" + base64_audio = base64.b64encode(audio).decode("utf-8") + await self.send_event( + { + "type": "input_audio_buffer.append", + "other_data": { + "audio": base64_audio, + }, + } + ) + if commit: + await self.send_event({"type": "input_audio_buffer.commit"}) + + async def send_tool_output( + self, tool_call: RealtimeTransportToolCallEvent, output: str, start_response: bool + ) -> None: + """Send tool output to the model.""" + await self.send_event( + { + "type": "conversation.item.create", + "other_data": { + "item": { + "type": "function_call_output", + "output": output, + "call_id": tool_call.id, + }, + }, + } + ) + + tool_item = RealtimeToolCallItem( + item_id=tool_call.id or "", + previous_item_id=tool_call.previous_item_id, + type="function_call", + status="completed", + arguments=tool_call.arguments, + name=tool_call.name, + output=output, + ) + await self._emit_event(RealtimeTransportItemUpdatedEvent(item=tool_item)) + + if start_response: + await self.send_event({"type": "response.create"}) + + async def interrupt(self) -> None: + """Interrupt the model.""" + if not self._current_item_id or not self._audio_start_time: + return + + await self._cancel_response() + + elapsed_time_ms = (datetime.now() - self._audio_start_time).total_seconds() * 1000 + if elapsed_time_ms > 0 and elapsed_time_ms < self._audio_length_ms: + await self._emit_event(RealtimeTransportAudioInterruptedEvent()) + await self.send_event( + { + "type": "conversation.item.truncate", + "other_data": { + "item_id": self._current_item_id, + "content_index": self._current_audio_content_index, + "audio_end_ms": elapsed_time_ms, + }, + } + ) + + self._current_item_id = None + self._audio_start_time = None + self._audio_length_ms = 0.0 + self._current_audio_content_index = None + + async def close(self) -> None: + """Close the session.""" + if self._websocket: + await self._websocket.close() + self._websocket = None + if self._websocket_task: + self._websocket_task.cancel() + self._websocket_task = None + + async def _cancel_response(self) -> None: + if self._ongoing_response: + await self.send_event({"type": "response.cancel"}) + self._ongoing_response = False + + async def _handle_ws_event(self, event: dict[str, Any]): + try: + parsed: OpenAIRealtimeServerEvent = TypeAdapter( + OpenAIRealtimeServerEvent + ).validate_python(event) + except Exception as e: + logger.error(f"Invalid event: {event} - {e}") + await self._emit_event(RealtimeTransportErrorEvent(error=f"Invalid event: {event}")) + return + + if parsed.type == "response.audio.delta": + self._current_audio_content_index = parsed.content_index + self._current_item_id = parsed.item_id + if self._audio_start_time is None: + self._audio_start_time = datetime.now() + self._audio_length_ms = 0.0 + + audio_bytes = base64.b64decode(parsed.delta) + # Calculate audio length in ms using 24KHz pcm16le + self._audio_length_ms += len(audio_bytes) / 24 / 2 + await self._emit_event( + RealtimeTransportAudioEvent(data=audio_bytes, response_id=parsed.response_id) + ) + elif parsed.type == "response.audio.done": + await self._emit_event(RealtimeTransportAudioDoneEvent()) + elif parsed.type == "input_audio_buffer.speech_started": + await self.interrupt() + elif parsed.type == "response.created": + self._ongoing_response = True + await self._emit_event(RealtimeTransportTurnStartedEvent()) + elif parsed.type == "response.done": + self._ongoing_response = False + await self._emit_event(RealtimeTransportTurnEndedEvent()) + elif parsed.type == "session.created": + # TODO (rm) tracing stuff here + pass + elif parsed.type == "error": + await self._emit_event(RealtimeTransportErrorEvent(error=parsed.error)) + elif parsed.type == "conversation.item.deleted": + await self._emit_event(RealtimeTransportItemDeletedEvent(item_id=parsed.item_id)) + elif ( + parsed.type == "conversation.item.created" + or parsed.type == "conversation.item.retrieved" + ): + item = parsed.item + previous_item_id = ( + parsed.previous_item_id if parsed.type == "conversation.item.created" else None + ) + message_item: RealtimeMessageItem = TypeAdapter(RealtimeMessageItem).validate_python( + { + "item_id": item.id or "", + "previous_item_id": previous_item_id, + "type": item.type, + "role": item.role, + "content": item.content, + "status": "in_progress", + } + ) + await self._emit_event(RealtimeTransportItemUpdatedEvent(item=message_item)) + elif ( + parsed.type == "conversation.item.input_audio_transcription.completed" + or parsed.type == "conversation.item.truncated" + ): + await self.send_event( + { + "type": "conversation.item.retrieve", + "other_data": { + "item_id": self._current_item_id, + }, + } + ) + if parsed.type == "conversation.item.input_audio_transcription.completed": + await self._emit_event( + RealtimeTransportInputAudioTranscriptionCompletedEvent( + item_id=parsed.item_id, transcript=parsed.transcript + ) + ) + elif parsed.type == "response.audio_transcript.delta": + await self._emit_event( + RealtimeTransportTranscriptDelta( + item_id=parsed.item_id, delta=parsed.delta, response_id=parsed.response_id + ) + ) + elif ( + parsed.type == "conversation.item.input_audio_transcription.delta" + or parsed.type == "response.text.delta" + or parsed.type == "response.function_call_arguments.delta" + ): + # No support for partials yet + pass + elif ( + parsed.type == "response.output_item.added" + or parsed.type == "response.output_item.done" + ): + item = parsed.item + if item.type == "function_call" and item.status == "completed": + tool_call = RealtimeToolCallItem( + item_id=item.id or "", + previous_item_id=None, + type="function_call", + # We use the same item for tool call and output, so it will be completed by the + # output being added + status="in_progress", + arguments=item.arguments or "", + name=item.name or "", + output=None, + ) + await self._emit_event(RealtimeTransportItemUpdatedEvent(item=tool_call)) + await self._emit_event( + RealtimeTransportToolCallEvent( + call_id=item.id or "", + name=item.name or "", + arguments=item.arguments or "", + id=item.id or "", + ) + ) + elif item.type == "message": + message_item = TypeAdapter(RealtimeMessageItem).validate_python( + { + "item_id": item.id or "", + "type": item.type, + "role": item.role, + "content": item.content, + "status": "in_progress", + } + ) + await self._emit_event(RealtimeTransportItemUpdatedEvent(item=message_item)) From f0735721f5f1f845de2fda2609e2b28b588a6723 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 12:02:50 -0400 Subject: [PATCH 160/337] [6/n] RealtimeSession + events --- src/agents/realtime/README.md | 3 + src/agents/realtime/__init__.py | 51 +++++ src/agents/realtime/events.py | 198 +++++++++++++++++ src/agents/realtime/session.py | 369 ++++++++++++++++++++++++++++++++ tests/realtime/__init__.py | 0 5 files changed, 621 insertions(+) create mode 100644 src/agents/realtime/README.md create mode 100644 src/agents/realtime/__init__.py create mode 100644 src/agents/realtime/events.py create mode 100644 src/agents/realtime/session.py create mode 100644 tests/realtime/__init__.py diff --git a/src/agents/realtime/README.md b/src/agents/realtime/README.md new file mode 100644 index 000000000..9acc23160 --- /dev/null +++ b/src/agents/realtime/README.md @@ -0,0 +1,3 @@ +# Realtime + +Realtime agents are in beta: expect some breaking changes over the next few weeks as we find issues and fix them. diff --git a/src/agents/realtime/__init__.py b/src/agents/realtime/__init__.py new file mode 100644 index 000000000..7e5d4932a --- /dev/null +++ b/src/agents/realtime/__init__.py @@ -0,0 +1,51 @@ +from .agent import RealtimeAgent, RealtimeAgentHooks, RealtimeRunHooks +from .config import APIKeyOrKeyFunc +from .events import ( + RealtimeAgentEndEvent, + RealtimeAgentStartEvent, + RealtimeAudio, + RealtimeAudioEnd, + RealtimeAudioInterrupted, + RealtimeError, + RealtimeHandoffEvent, + RealtimeHistoryAdded, + RealtimeHistoryUpdated, + RealtimeRawTransportEvent, + RealtimeSessionEvent, + RealtimeToolEnd, + RealtimeToolStart, +) +from .session import RealtimeSession +from .transport import ( + RealtimeModelName, + RealtimeSessionTransport, + RealtimeTransportConnectionOptions, + RealtimeTransportListener, +) + +__all__ = [ + "RealtimeAgent", + "RealtimeAgentHooks", + "RealtimeRunHooks", + "RealtimeSession", + "RealtimeSessionListener", + "RealtimeSessionListenerFunc", + "APIKeyOrKeyFunc", + "RealtimeModelName", + "RealtimeSessionTransport", + "RealtimeTransportListener", + "RealtimeTransportConnectionOptions", + "RealtimeSessionEvent", + "RealtimeAgentStartEvent", + "RealtimeAgentEndEvent", + "RealtimeHandoffEvent", + "RealtimeToolStart", + "RealtimeToolEnd", + "RealtimeRawTransportEvent", + "RealtimeAudioEnd", + "RealtimeAudio", + "RealtimeAudioInterrupted", + "RealtimeError", + "RealtimeHistoryUpdated", + "RealtimeHistoryAdded", +] diff --git a/src/agents/realtime/events.py b/src/agents/realtime/events.py new file mode 100644 index 000000000..bd6b7b5b0 --- /dev/null +++ b/src/agents/realtime/events.py @@ -0,0 +1,198 @@ +from dataclasses import dataclass +from typing import Any, Literal, Union + +from typing_extensions import TypeAlias + +from ..run_context import RunContextWrapper +from ..tool import Tool +from .agent import RealtimeAgent +from .items import RealtimeItem +from .transport_events import RealtimeTransportAudioEvent, RealtimeTransportEvent + + +@dataclass +class RealtimeEventInfo: + context: RunContextWrapper + """The context for the event.""" + + +@dataclass +class RealtimeAgentStartEvent: + """A new agent has started.""" + + agent: RealtimeAgent + """The new agent.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["agent_start"] = "agent_start" + + +@dataclass +class RealtimeAgentEndEvent: + """An agent has ended.""" + + agent: RealtimeAgent + """The agent that ended.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["agent_end"] = "agent_end" + + +@dataclass +class RealtimeHandoffEvent: + """An agent has handed off to another agent.""" + + from_agent: RealtimeAgent + """The agent that handed off.""" + + to_agent: RealtimeAgent + """The agent that was handed off to.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["handoff"] = "handoff" + + +@dataclass +class RealtimeToolStart: + """An agent is starting a tool call.""" + + agent: RealtimeAgent + """The agent that updated.""" + + tool: Tool + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["tool_start"] = "tool_start" + + +@dataclass +class RealtimeToolEnd: + """An agent has ended a tool call.""" + + agent: RealtimeAgent + """The agent that ended the tool call.""" + + tool: Tool + """The tool that was called.""" + + output: Any + """The output of the tool call.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["tool_end"] = "tool_end" + + +@dataclass +class RealtimeRawTransportEvent: + """Forwards raw events from the transport layer.""" + + data: RealtimeTransportEvent + """The raw data from the transport layer.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["raw_transport_event"] = "raw_transport_event" + + +@dataclass +class RealtimeAudioEnd: + """Triggered when the agent stops generating audio.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["audio_end"] = "audio_end" + + +@dataclass +class RealtimeAudio: + """Triggered when the agent generates new audio to be played.""" + + audio: RealtimeTransportAudioEvent + """The audio event from the transport layer.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["audio"] = "audio" + + +@dataclass +class RealtimeAudioInterrupted: + """Triggered when the agent is interrupted. Can be listened to by the user to stop audio + playback or give visual indicators to the user. + """ + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["audio_interrupted"] = "audio_interrupted" + + +@dataclass +class RealtimeError: + """An error has occurred.""" + + error: Any + """The error that occurred.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["error"] = "error" + + +@dataclass +class RealtimeHistoryUpdated: + """The history has been updated. Contains the full history of the session.""" + + history: list[RealtimeItem] + """The full history of the session.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["history_updated"] = "history_updated" + + +@dataclass +class RealtimeHistoryAdded: + """A new item has been added to the history.""" + + item: RealtimeItem + """The new item that was added to the history.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["history_added"] = "history_added" + + +# TODO (rm) Add guardrails + +RealtimeSessionEvent: TypeAlias = Union[ + RealtimeAgentStartEvent, + RealtimeAgentEndEvent, + RealtimeHandoffEvent, + RealtimeToolStart, + RealtimeToolEnd, + RealtimeRawTransportEvent, + RealtimeAudioEnd, + RealtimeAudio, + RealtimeAudioInterrupted, + RealtimeError, + RealtimeHistoryUpdated, + RealtimeHistoryAdded, +] +"""An event emitted by the realtime session.""" diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py new file mode 100644 index 000000000..fd2a0a3ff --- /dev/null +++ b/src/agents/realtime/session.py @@ -0,0 +1,369 @@ +"""Minimal realtime session implementation for voice agents.""" + +from __future__ import annotations + +import abc +import asyncio +from collections.abc import Awaitable +from typing import Any, Callable, Literal + +from typing_extensions import TypeAlias, assert_never + +from ..handoffs import Handoff +from ..run_context import RunContextWrapper +from ..tool import FunctionTool +from ..tool_context import ToolContext +from .agent import RealtimeAgent +from .config import APIKeyOrKeyFunc, RealtimeSessionConfig, RealtimeUserInput +from .events import ( + RealtimeAgentEndEvent, + RealtimeAgentStartEvent, + RealtimeAudio, + RealtimeAudioEnd, + RealtimeAudioInterrupted, + RealtimeError, + RealtimeEventInfo, + RealtimeHandoffEvent, # noqa: F401 + RealtimeHistoryAdded, + RealtimeHistoryUpdated, + RealtimeRawTransportEvent, + RealtimeSessionEvent, + RealtimeToolEnd, + RealtimeToolStart, +) +from .items import InputAudio, InputText, RealtimeItem +from .openai_realtime import OpenAIRealtimeWebSocketTransport +from .transport import ( + RealtimeModelName, + RealtimeSessionTransport, + RealtimeTransportConnectionOptions, + RealtimeTransportListener, +) +from .transport_events import ( + RealtimeTransportEvent, + RealtimeTransportInputAudioTranscriptionCompletedEvent, + RealtimeTransportToolCallEvent, +) + + +class RealtimeSessionListener(abc.ABC): + """A listener for realtime session events.""" + + @abc.abstractmethod + async def on_event(self, event: RealtimeSessionEvent) -> None: + """Called when an event is emitted by the realtime session.""" + pass + + +RealtimeSessionListenerFunc: TypeAlias = Callable[[RealtimeSessionEvent], Awaitable[None]] +"""A function that can be used as a listener for realtime session events.""" + + +class _RealtimeFuncListener(RealtimeSessionListener): + """A listener that wraps a function.""" + + def __init__(self, func: RealtimeSessionListenerFunc) -> None: + self._func = func + + async def on_event(self, event: RealtimeSessionEvent) -> None: + """Call the wrapped function with the event.""" + await self._func(event) + + +class RealtimeSession(RealtimeTransportListener): + """A `RealtimeSession` is the equivalent of `Runner` for realtime agents. It automatically + handles multiple turns by maintaining a persistent connection with the underlying transport + layer. + + The session manages the local history copy, executes tools, runs guardrails and facilitates + handoffs between agents. + + Since this code runs on your server, it uses WebSockets by default. You can optionally create + your own custom transport layer by implementing the `RealtimeSessionTransport` interface. + """ + + def __init__( + self, + starting_agent: RealtimeAgent, + *, + context: Any | None = None, + transport: Literal["websocket"] | RealtimeSessionTransport = "websocket", + api_key: APIKeyOrKeyFunc | None = None, + model: RealtimeModelName | None = None, + config: RealtimeSessionConfig | None = None, + # TODO (rm) Add guardrail support + # TODO (rm) Add tracing support + # TODO (rm) Add history audio storage config + ) -> None: + """Initialize the realtime session. + + Args: + starting_agent: The agent to start the session with. + context: The context to use for the session. + transport: The transport to use for the session. Defaults to using websockets. + api_key: The API key to use for the session. + model: The model to use. Must be a realtime model. + config: Override parameters to use. + """ + self._current_agent = starting_agent + self._context_wrapper = RunContextWrapper(context) + self._event_info = RealtimeEventInfo(context=self._context_wrapper) + self._override_config = config + self._history: list[RealtimeItem] = [] + self._model = model + self._api_key = api_key + + self._listeners: list[RealtimeSessionListener] = [] + + if transport == "websocket": + self._transport: RealtimeSessionTransport = OpenAIRealtimeWebSocketTransport() + else: + self._transport = transport + + async def __aenter__(self) -> RealtimeSession: + """Async context manager entry.""" + await self.connect() + return self + + async def __aexit__(self, _exc_type: Any, _exc_val: Any, _exc_tb: Any) -> None: + """Async context manager exit.""" + await self.end() + + async def connect(self) -> None: + """Start the session: connect to the model and start the connection.""" + self._transport.add_listener(self) + + config = await self.create_session_config( + overrides=self._override_config, + ) + + options: RealtimeTransportConnectionOptions = { + "initial_session_config": config, + } + + if config.get("api_key") is not None: + options["api_key"] = config["api_key"] + elif self._api_key is not None: + options["api_key"] = self._api_key + + if config.get("model") is not None: + options["model"] = config["model"] + elif self._model is not None: + options["model"] = self._model + + await self._transport.connect(options) + + await self._emit_event( + RealtimeHistoryUpdated( + history=self._history, + info=self._event_info, + ) + ) + + async def end(self) -> None: + """End the session: disconnect from the model and close the connection.""" + pass + + def add_listener(self, listener: RealtimeSessionListener | RealtimeSessionListenerFunc) -> None: + """Add a listener to the session.""" + if isinstance(listener, RealtimeSessionListener): + self._listeners.append(listener) + else: + self._listeners.append(_RealtimeFuncListener(listener)) + + def remove_listener( + self, listener: RealtimeSessionListener | RealtimeSessionListenerFunc + ) -> None: + """Remove a listener from the session.""" + if isinstance(listener, RealtimeSessionListener): + self._listeners.remove(listener) + else: + for x in self._listeners: + if isinstance(x, _RealtimeFuncListener) and x._func == listener: + self._listeners.remove(x) + break + + async def create_session_config( + self, overrides: RealtimeSessionConfig | None = None + ) -> RealtimeSessionConfig: + """Create the session config.""" + agent = self._current_agent + instructions, tools = await asyncio.gather( + agent.get_system_prompt(self._context_wrapper), + agent.get_all_tools(self._context_wrapper), + ) + config = RealtimeSessionConfig() + + if self._model is not None: + config["model"] = self._model + if instructions is not None: + config["instructions"] = instructions + if tools is not None: + config["tools"] = [tool for tool in tools if isinstance(tool, FunctionTool)] + + if overrides: + config.update(overrides) + + return config + + async def send_message(self, message: RealtimeUserInput) -> None: + """Send a message to the model.""" + await self._transport.send_message(message) + + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Send a raw audio chunk to the model.""" + await self._transport.send_audio(audio, commit=commit) + + async def interrupt(self) -> None: + """Interrupt the model.""" + await self._transport.interrupt() + + async def on_event(self, event: RealtimeTransportEvent) -> None: + """Called when an event is emitted by the realtime transport.""" + await self._emit_event(RealtimeRawTransportEvent(data=event, info=self._event_info)) + + if event.type == "error": + await self._emit_event(RealtimeError(info=self._event_info, error=event.error)) + elif event.type == "function_call": + await self._handle_tool_call(event) + elif event.type == "audio": + await self._emit_event(RealtimeAudio(info=self._event_info, audio=event)) + elif event.type == "audio_interrupted": + await self._emit_event(RealtimeAudioInterrupted(info=self._event_info)) + elif event.type == "audio_done": + await self._emit_event(RealtimeAudioEnd(info=self._event_info)) + elif event.type == "conversation.item.input_audio_transcription.completed": + self._history = self._get_new_history(self._history, event) + await self._emit_event( + RealtimeHistoryUpdated(info=self._event_info, history=self._history) + ) + elif event.type == "transcript_delta": + # TODO (rm) Add guardrails + pass + elif event.type == "item_updated": + is_new = any(item.item_id == event.item.item_id for item in self._history) + self._history = self._get_new_history(self._history, event.item) + if is_new: + new_item = next( + item for item in self._history if item.item_id == event.item.item_id + ) + await self._emit_event(RealtimeHistoryAdded(info=self._event_info, item=new_item)) + else: + await self._emit_event( + RealtimeHistoryUpdated(info=self._event_info, history=self._history) + ) + pass + elif event.type == "item_deleted": + deleted_id = event.item_id + self._history = [item for item in self._history if item.item_id != deleted_id] + await self._emit_event( + RealtimeHistoryUpdated(info=self._event_info, history=self._history) + ) + elif event.type == "connection_status": + pass + elif event.type == "turn_started": + await self._emit_event( + RealtimeAgentStartEvent( + agent=self._current_agent, + info=self._event_info, + ) + ) + elif event.type == "turn_ended": + await self._emit_event( + RealtimeAgentEndEvent( + agent=self._current_agent, + info=self._event_info, + ) + ) + elif event.type == "other": + pass + else: + assert_never(event) + + async def _emit_event(self, event: RealtimeSessionEvent) -> None: + """Emit an event to the listeners.""" + await asyncio.gather(*[listener.on_event(event) for listener in self._listeners]) + + async def _handle_tool_call(self, event: RealtimeTransportToolCallEvent) -> None: + all_tools = await self._current_agent.get_all_tools(self._context_wrapper) + function_map = {tool.name: tool for tool in all_tools if isinstance(tool, FunctionTool)} + handoff_map = {tool.name: tool for tool in all_tools if isinstance(tool, Handoff)} + + if event.name in function_map: + await self._emit_event( + RealtimeToolStart( + info=self._event_info, + tool=function_map[event.name], + agent=self._current_agent, + ) + ) + + func_tool = function_map[event.name] + tool_context = ToolContext.from_agent_context(self._context_wrapper, event.call_id) + result = await func_tool.on_invoke_tool(tool_context, event.arguments) + + await self._transport.send_tool_output(event, str(result), True) + + await self._emit_event( + RealtimeToolEnd( + info=self._event_info, + tool=func_tool, + output=result, + agent=self._current_agent, + ) + ) + elif event.name in handoff_map: + # TODO (rm) Add support for handoffs + pass + else: + # TODO (rm) Add error handling + pass + + def _get_new_history( + self, + old_history: list[RealtimeItem], + event: RealtimeTransportInputAudioTranscriptionCompletedEvent | RealtimeItem, + ) -> list[RealtimeItem]: + # Merge transcript into placeholder input_audio message. + if isinstance(event, RealtimeTransportInputAudioTranscriptionCompletedEvent): + new_history: list[RealtimeItem] = [] + for item in old_history: + if item.item_id == event.item_id and item.type == "message" and item.role == "user": + content: list[InputText | InputAudio] = [] + for entry in item.content: + if entry.type == "input_audio": + copied_entry = entry.model_copy(update={"transcript": event.transcript}) + content.append(copied_entry) + else: + content.append(entry) # type: ignore + new_history.append( + item.model_copy(update={"content": content, "status": "completed"}) + ) + else: + new_history.append(item) + return new_history + + # Otherwise it's just a new item + # TODO (rm) Add support for audio storage config + + # If the item already exists, update it + existing_index = next( + (i for i, item in enumerate(old_history) if item.item_id == event.item_id), None + ) + if existing_index is not None: + new_history = old_history.copy() + new_history[existing_index] = event + return new_history + # Otherwise, insert it after the previous_item_id if that is set + elif item.previous_item_id: + # Insert the new item after the previous item + previous_index = next( + (i for i, item in enumerate(old_history) if item.item_id == event.previous_item_id), + None, + ) + if previous_index is not None: + new_history = old_history.copy() + new_history.insert(previous_index + 1, event) + return new_history + # Otherwise, add it to the end + return old_history + [event] diff --git a/tests/realtime/__init__.py b/tests/realtime/__init__.py new file mode 100644 index 000000000..e69de29bb From c944725e164b142d8676a3ec7dded7a54b1ad151 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 12:02:50 -0400 Subject: [PATCH 161/337] [7/n] Demo for realtime --- examples/realtime/demo.py | 101 +++++++++ examples/realtime/ui.py | 271 +++++++++++++++++++++++++ src/agents/realtime/openai_realtime.py | 4 +- uv.lock | 6 +- 4 files changed, 380 insertions(+), 2 deletions(-) create mode 100644 examples/realtime/demo.py create mode 100644 examples/realtime/ui.py diff --git a/examples/realtime/demo.py b/examples/realtime/demo.py new file mode 100644 index 000000000..a2ea96545 --- /dev/null +++ b/examples/realtime/demo.py @@ -0,0 +1,101 @@ +import asyncio +import os +import sys +from typing import TYPE_CHECKING + +import numpy as np + +# Add the current directory to path so we can import ui +sys.path.append(os.path.dirname(os.path.abspath(__file__))) + +from agents import function_tool +from agents.realtime import RealtimeAgent, RealtimeSession, RealtimeSessionEvent + +if TYPE_CHECKING: + from .ui import AppUI +else: + # Try both import styles + try: + # Try relative import first (when used as a package) + from .ui import AppUI + except ImportError: + # Fall back to direct import (when run as a script) + from ui import AppUI + + +@function_tool +def get_weather(city: str) -> str: + """Get the weather in a city.""" + return f"The weather in {city} is sunny." + + +agent = RealtimeAgent( + name="Assistant", + instructions="You always greet the user with 'Top of the morning to you'.", + tools=[get_weather], +) + + +class Example: + def __init__(self) -> None: + self.session = RealtimeSession(agent) + self.ui = AppUI() + self.ui.connected = asyncio.Event() + self.ui.last_audio_item_id = None + # Set the audio callback + self.ui.set_audio_callback(self.on_audio_recorded) + + async def run(self) -> None: + self.session.add_listener(self.on_event) + await self.session.connect() + self.ui.set_is_connected(True) + await self.ui.run_async() + + async def on_audio_recorded(self, audio_bytes: bytes) -> None: + """Called when audio is recorded by the UI.""" + try: + # Send the audio to the session + await self.session.send_audio(audio_bytes) + except Exception as e: + self.ui.log_message(f"Error sending audio: {e}") + + async def on_event(self, event: RealtimeSessionEvent) -> None: + # Display event in the UI + try: + if event.type == "agent_start": + self.ui.add_transcript(f"Agent started: {event.agent.name}") + elif event.type == "agent_end": + self.ui.add_transcript(f"Agent ended: {event.agent.name}") + elif event.type == "handoff": + self.ui.add_transcript( + f"Handoff from {event.from_agent.name} to {event.to_agent.name}" + ) + elif event.type == "tool_start": + self.ui.add_transcript(f"Tool started: {event.tool.name}") + elif event.type == "tool_end": + self.ui.add_transcript(f"Tool ended: {event.tool.name}; output: {event.output}") + elif event.type == "audio_end": + self.ui.add_transcript("Audio ended") + elif event.type == "audio": + np_audio = np.frombuffer(event.audio.data, dtype=np.int16) + self.ui.play_audio(np_audio) + elif event.type == "audio_interrupted": + self.ui.add_transcript("Audio interrupted") + elif event.type == "error": + self.ui.add_transcript(f"Error: {event.error}") + elif event.type == "history_updated": + pass + elif event.type == "history_added": + pass + elif event.type == "raw_transport_event": + self.ui.log_message(f"Raw transport event: {event.data}") + else: + self.ui.log_message(f"Unknown event type: {event.type}") + except Exception as e: + # This can happen if the UI has already exited + self.ui.log_message(f"Event handling error: {str(e)}") + + +if __name__ == "__main__": + example = Example() + asyncio.run(example.run()) diff --git a/examples/realtime/ui.py b/examples/realtime/ui.py new file mode 100644 index 000000000..1ba055835 --- /dev/null +++ b/examples/realtime/ui.py @@ -0,0 +1,271 @@ +from __future__ import annotations + +import asyncio +from collections.abc import Coroutine +from typing import Any, Callable + +import numpy as np +import numpy.typing as npt +import sounddevice as sd +from textual import events +from textual.app import App, ComposeResult +from textual.containers import Container, Horizontal +from textual.reactive import reactive +from textual.widgets import RichLog, Static +from typing_extensions import override + +CHUNK_LENGTH_S = 0.05 # 50ms +SAMPLE_RATE = 24000 +FORMAT = np.int16 +CHANNELS = 1 + + +class Header(Static): + """A header widget.""" + + @override + def render(self) -> str: + return "Realtime Demo" + + +class AudioStatusIndicator(Static): + """A widget that shows the current audio recording status.""" + + is_recording = reactive(False) + + @override + def render(self) -> str: + status = ( + "🔴 Conversation started." + if self.is_recording + else "⚪ Press SPACE to start the conversation (q to quit)" + ) + return status + + +class AppUI(App[None]): + CSS = """ + Screen { + background: #1a1b26; /* Dark blue-grey background */ + } + + Container { + border: double rgb(91, 164, 91); + } + + #input-container { + height: 5; /* Explicit height for input container */ + margin: 1 1; + padding: 1 2; + } + + #bottom-pane { + width: 100%; + height: 82%; /* Reduced to make room for session display */ + border: round rgb(205, 133, 63); + } + + #status-indicator { + height: 3; + content-align: center middle; + background: #2a2b36; + border: solid rgb(91, 164, 91); + margin: 1 1; + } + + #session-display { + height: 3; + content-align: center middle; + background: #2a2b36; + border: solid rgb(91, 164, 91); + margin: 1 1; + } + + #transcripts { + width: 50%; + height: 100%; + border-right: solid rgb(91, 164, 91); + } + + #transcripts-header { + height: 2; + background: #2a2b36; + content-align: center middle; + border-bottom: solid rgb(91, 164, 91); + } + + #transcripts-content { + height: 100%; + } + + #event-log { + width: 50%; + height: 100%; + } + + #event-log-header { + height: 2; + background: #2a2b36; + content-align: center middle; + border-bottom: solid rgb(91, 164, 91); + } + + #event-log-content { + height: 100%; + } + + Static { + color: white; + } + """ + + should_send_audio: asyncio.Event + connected: asyncio.Event + last_audio_item_id: str | None + audio_callback: Callable[[bytes], Coroutine[Any, Any, None]] | None + + def __init__(self) -> None: + super().__init__() + self.audio_player = sd.OutputStream( + samplerate=SAMPLE_RATE, + channels=CHANNELS, + dtype=FORMAT, + ) + self.should_send_audio = asyncio.Event() + self.connected = asyncio.Event() + self.audio_callback = None + + @override + def compose(self) -> ComposeResult: + """Create child widgets for the app.""" + with Container(): + yield Header(id="session-display") + yield AudioStatusIndicator(id="status-indicator") + with Container(id="bottom-pane"): + with Horizontal(): + with Container(id="transcripts"): + yield Static("Conversation transcript", id="transcripts-header") + yield RichLog( + id="transcripts-content", wrap=True, highlight=True, markup=True + ) + with Container(id="event-log"): + yield Static("Raw event log", id="event-log-header") + yield RichLog( + id="event-log-content", wrap=True, highlight=True, markup=True + ) + + def set_is_connected(self, is_connected: bool) -> None: + self.connected.set() if is_connected else self.connected.clear() + + def set_audio_callback(self, callback: Callable[[bytes], Coroutine[Any, Any, None]]) -> None: + """Set a callback function to be called when audio is recorded.""" + self.audio_callback = callback + + # High-level methods for UI operations + def set_header_text(self, text: str) -> None: + """Update the header text.""" + header = self.query_one("#session-display", Header) + header.update(text) + + def set_recording_status(self, is_recording: bool) -> None: + """Set the recording status indicator.""" + status_indicator = self.query_one(AudioStatusIndicator) + status_indicator.is_recording = is_recording + + def log_message(self, message: str) -> None: + """Add a message to the event log.""" + try: + log_pane = self.query_one("#event-log-content", RichLog) + log_pane.write(message) + except Exception: + # Handle the case where the widget might not be available + pass + + def add_transcript(self, message: str) -> None: + """Add a transcript message to the transcripts panel.""" + try: + transcript_pane = self.query_one("#transcripts-content", RichLog) + transcript_pane.write(message) + except Exception: + # Handle the case where the widget might not be available + pass + + def play_audio(self, audio_data: npt.NDArray[np.int16]) -> None: + """Play audio data through the audio player.""" + try: + self.audio_player.write(audio_data) + except Exception as e: + self.log_message(f"Audio play error: {e}") + + async def on_mount(self) -> None: + """Set up audio player and start the audio capture worker.""" + self.audio_player.start() + self.run_worker(self.capture_audio()) + + async def capture_audio(self) -> None: + """Capture audio from the microphone and send to the session.""" + # Wait for connection to be established + await self.connected.wait() + + # Set up audio input stream + stream = sd.InputStream( + channels=CHANNELS, + samplerate=SAMPLE_RATE, + dtype=FORMAT, + ) + + try: + # Wait for user to press spacebar to start + await self.should_send_audio.wait() + + stream.start() + self.set_recording_status(True) + self.log_message("Recording started - speak to the agent") + + # Buffer size in samples + read_size = int(SAMPLE_RATE * CHUNK_LENGTH_S) + + while True: + # Check if there's enough data to read + if stream.read_available < read_size: + await asyncio.sleep(0.01) # Small sleep to avoid CPU hogging + continue + + # Read audio data + data, _ = stream.read(read_size) + + # Convert numpy array to bytes + audio_bytes = data.tobytes() + + # Call audio callback if set + if self.audio_callback: + try: + await self.audio_callback(audio_bytes) + except Exception as e: + self.log_message(f"Audio callback error: {e}") + + # Yield control back to event loop + await asyncio.sleep(0) + + except Exception as e: + self.log_message(f"Audio capture error: {e}") + finally: + if stream.active: + stream.stop() + stream.close() + + async def on_key(self, event: events.Key) -> None: + """Handle key press events.""" + # add the keypress to the log + self.log_message(f"Key pressed: {event.key}") + + if event.key == "q": + self.audio_player.stop() + self.audio_player.close() + self.exit() + return + + if event.key == "space": # Spacebar + if not self.should_send_audio.is_set(): + self.should_send_audio.set() + self.set_recording_status(True) diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 226eaed7d..6dc34bcf1 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -231,7 +231,9 @@ async def _handle_ws_event(self, event: dict[str, Any]): ).validate_python(event) except Exception as e: logger.error(f"Invalid event: {event} - {e}") - await self._emit_event(RealtimeTransportErrorEvent(error=f"Invalid event: {event}")) + await self._emit_event( + RealtimeTransportErrorEvent(error=f"Invalid event: {event} - {e}") + ) return if parsed.type == "response.audio.delta": diff --git a/uv.lock b/uv.lock index d882c9bc5..880116f58 100644 --- a/uv.lock +++ b/uv.lock @@ -1496,6 +1496,9 @@ dependencies = [ litellm = [ { name = "litellm" }, ] +realtime = [ + { name = "websockets" }, +] viz = [ { name = "graphviz" }, ] @@ -1541,9 +1544,10 @@ requires-dist = [ { name = "requests", specifier = ">=2.0,<3" }, { name = "types-requests", specifier = ">=2.0,<3" }, { name = "typing-extensions", specifier = ">=4.12.2,<5" }, + { name = "websockets", marker = "extra == 'realtime'", specifier = ">=15.0,<16" }, { name = "websockets", marker = "extra == 'voice'", specifier = ">=15.0,<16" }, ] -provides-extras = ["voice", "viz", "litellm"] +provides-extras = ["voice", "viz", "litellm", "realtime"] [package.metadata.requires-dev] dev = [ From 649d188088ddd337eacc955d893931aca51678f3 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 12:10:08 -0400 Subject: [PATCH 162/337] [1/n] Break Agent into AgentBase+Agent --- src/agents/__init__.py | 3 +- src/agents/agent.py | 84 ++++++++++++++++++++++++++----------- src/agents/lifecycle.py | 43 +++++++++++-------- src/agents/mcp/server.py | 10 ++--- src/agents/mcp/util.py | 11 +++-- src/agents/tool.py | 10 ++--- tests/test_function_tool.py | 11 ++++- 7 files changed, 111 insertions(+), 61 deletions(-) diff --git a/src/agents/__init__.py b/src/agents/__init__.py index 1bcb06e9f..7de17efdb 100644 --- a/src/agents/__init__.py +++ b/src/agents/__init__.py @@ -5,7 +5,7 @@ from openai import AsyncOpenAI from . import _config -from .agent import Agent, ToolsToFinalOutputFunction, ToolsToFinalOutputResult +from .agent import Agent, AgentBase, ToolsToFinalOutputFunction, ToolsToFinalOutputResult from .agent_output import AgentOutputSchema, AgentOutputSchemaBase from .computer import AsyncComputer, Button, Computer, Environment from .exceptions import ( @@ -161,6 +161,7 @@ def enable_verbose_stdout_logging(): __all__ = [ "Agent", + "AgentBase", "ToolsToFinalOutputFunction", "ToolsToFinalOutputResult", "Runner", diff --git a/src/agents/agent.py b/src/agents/agent.py index 2f77f5f2a..e418b67da 100644 --- a/src/agents/agent.py +++ b/src/agents/agent.py @@ -67,7 +67,63 @@ class MCPConfig(TypedDict): @dataclass -class Agent(Generic[TContext]): +class AgentBase(Generic[TContext]): + """Base class for `Agent` and `RealtimeAgent`.""" + + name: str + """The name of the agent.""" + + handoff_description: str | None = None + """A description of the agent. This is used when the agent is used as a handoff, so that an + LLM knows what it does and when to invoke it. + """ + + tools: list[Tool] = field(default_factory=list) + """A list of tools that the agent can use.""" + + mcp_servers: list[MCPServer] = field(default_factory=list) + """A list of [Model Context Protocol](https://modelcontextprotocol.io/) servers that + the agent can use. Every time the agent runs, it will include tools from these servers in the + list of available tools. + + NOTE: You are expected to manage the lifecycle of these servers. Specifically, you must call + `server.connect()` before passing it to the agent, and `server.cleanup()` when the server is no + longer needed. + """ + + mcp_config: MCPConfig = field(default_factory=lambda: MCPConfig()) + """Configuration for MCP servers.""" + + async def get_mcp_tools(self, run_context: RunContextWrapper[TContext]) -> list[Tool]: + """Fetches the available tools from the MCP servers.""" + convert_schemas_to_strict = self.mcp_config.get("convert_schemas_to_strict", False) + return await MCPUtil.get_all_function_tools( + self.mcp_servers, convert_schemas_to_strict, run_context, self + ) + + async def get_all_tools(self, run_context: RunContextWrapper[Any]) -> list[Tool]: + """All agent tools, including MCP tools and function tools.""" + mcp_tools = await self.get_mcp_tools(run_context) + + async def _check_tool_enabled(tool: Tool) -> bool: + if not isinstance(tool, FunctionTool): + return True + + attr = tool.is_enabled + if isinstance(attr, bool): + return attr + res = attr(run_context, self) + if inspect.isawaitable(res): + return bool(await res) + return bool(res) + + results = await asyncio.gather(*(_check_tool_enabled(t) for t in self.tools)) + enabled: list[Tool] = [t for t, ok in zip(self.tools, results) if ok] + return [*mcp_tools, *enabled] + + +@dataclass +class Agent(AgentBase, Generic[TContext]): """An agent is an AI model configured with instructions, tools, guardrails, handoffs and more. We strongly recommend passing `instructions`, which is the "system prompt" for the agent. In @@ -76,10 +132,9 @@ class Agent(Generic[TContext]): Agents are generic on the context type. The context is a (mutable) object you create. It is passed to tool functions, handoffs, guardrails, etc. - """ - name: str - """The name of the agent.""" + See `AgentBase` for base parameters that are shared with `RealtimeAgent`s. + """ instructions: ( str @@ -103,11 +158,6 @@ class Agent(Generic[TContext]): usable with OpenAI models, using the Responses API. """ - handoff_description: str | None = None - """A description of the agent. This is used when the agent is used as a handoff, so that an - LLM knows what it does and when to invoke it. - """ - handoffs: list[Agent[Any] | Handoff[TContext]] = field(default_factory=list) """Handoffs are sub-agents that the agent can delegate to. You can provide a list of handoffs, and the agent can choose to delegate to them if relevant. Allows for separation of concerns and @@ -125,22 +175,6 @@ class Agent(Generic[TContext]): """Configures model-specific tuning parameters (e.g. temperature, top_p). """ - tools: list[Tool] = field(default_factory=list) - """A list of tools that the agent can use.""" - - mcp_servers: list[MCPServer] = field(default_factory=list) - """A list of [Model Context Protocol](https://modelcontextprotocol.io/) servers that - the agent can use. Every time the agent runs, it will include tools from these servers in the - list of available tools. - - NOTE: You are expected to manage the lifecycle of these servers. Specifically, you must call - `server.connect()` before passing it to the agent, and `server.cleanup()` when the server is no - longer needed. - """ - - mcp_config: MCPConfig = field(default_factory=lambda: MCPConfig()) - """Configuration for MCP servers.""" - input_guardrails: list[InputGuardrail[TContext]] = field(default_factory=list) """A list of checks that run in parallel to the agent's execution, before generating a response. Runs only if the agent is the first agent in the chain. diff --git a/src/agents/lifecycle.py b/src/agents/lifecycle.py index 8643248b1..2cce496c8 100644 --- a/src/agents/lifecycle.py +++ b/src/agents/lifecycle.py @@ -1,25 +1,27 @@ from typing import Any, Generic -from .agent import Agent +from typing_extensions import TypeVar + +from .agent import Agent, AgentBase from .run_context import RunContextWrapper, TContext from .tool import Tool +TAgent = TypeVar("TAgent", bound=AgentBase, default=AgentBase) + -class RunHooks(Generic[TContext]): +class RunHooksBase(Generic[TContext, TAgent]): """A class that receives callbacks on various lifecycle events in an agent run. Subclass and override the methods you need. """ - async def on_agent_start( - self, context: RunContextWrapper[TContext], agent: Agent[TContext] - ) -> None: + async def on_agent_start(self, context: RunContextWrapper[TContext], agent: TAgent) -> None: """Called before the agent is invoked. Called each time the current agent changes.""" pass async def on_agent_end( self, context: RunContextWrapper[TContext], - agent: Agent[TContext], + agent: TAgent, output: Any, ) -> None: """Called when the agent produces a final output.""" @@ -28,8 +30,8 @@ async def on_agent_end( async def on_handoff( self, context: RunContextWrapper[TContext], - from_agent: Agent[TContext], - to_agent: Agent[TContext], + from_agent: TAgent, + to_agent: TAgent, ) -> None: """Called when a handoff occurs.""" pass @@ -37,7 +39,7 @@ async def on_handoff( async def on_tool_start( self, context: RunContextWrapper[TContext], - agent: Agent[TContext], + agent: TAgent, tool: Tool, ) -> None: """Called before a tool is invoked.""" @@ -46,7 +48,7 @@ async def on_tool_start( async def on_tool_end( self, context: RunContextWrapper[TContext], - agent: Agent[TContext], + agent: TAgent, tool: Tool, result: str, ) -> None: @@ -54,14 +56,14 @@ async def on_tool_end( pass -class AgentHooks(Generic[TContext]): +class AgentHooksBase(Generic[TContext, TAgent]): """A class that receives callbacks on various lifecycle events for a specific agent. You can set this on `agent.hooks` to receive events for that specific agent. Subclass and override the methods you need. """ - async def on_start(self, context: RunContextWrapper[TContext], agent: Agent[TContext]) -> None: + async def on_start(self, context: RunContextWrapper[TContext], agent: TAgent) -> None: """Called before the agent is invoked. Called each time the running agent is changed to this agent.""" pass @@ -69,7 +71,7 @@ async def on_start(self, context: RunContextWrapper[TContext], agent: Agent[TCon async def on_end( self, context: RunContextWrapper[TContext], - agent: Agent[TContext], + agent: TAgent, output: Any, ) -> None: """Called when the agent produces a final output.""" @@ -78,8 +80,8 @@ async def on_end( async def on_handoff( self, context: RunContextWrapper[TContext], - agent: Agent[TContext], - source: Agent[TContext], + agent: TAgent, + source: TAgent, ) -> None: """Called when the agent is being handed off to. The `source` is the agent that is handing off to this agent.""" @@ -88,7 +90,7 @@ async def on_handoff( async def on_tool_start( self, context: RunContextWrapper[TContext], - agent: Agent[TContext], + agent: TAgent, tool: Tool, ) -> None: """Called before a tool is invoked.""" @@ -97,9 +99,16 @@ async def on_tool_start( async def on_tool_end( self, context: RunContextWrapper[TContext], - agent: Agent[TContext], + agent: TAgent, tool: Tool, result: str, ) -> None: """Called after a tool is invoked.""" pass + + +RunHooks = RunHooksBase[TContext, Agent] +"""Run hooks when using `Agent`.""" + +AgentHooks = AgentHooksBase[TContext, Agent] +"""Agent hooks for `Agent`s.""" diff --git a/src/agents/mcp/server.py b/src/agents/mcp/server.py index 4fd606e34..91a9274fc 100644 --- a/src/agents/mcp/server.py +++ b/src/agents/mcp/server.py @@ -22,7 +22,7 @@ from .util import ToolFilter, ToolFilterCallable, ToolFilterContext, ToolFilterStatic if TYPE_CHECKING: - from ..agent import Agent + from ..agent import AgentBase class MCPServer(abc.ABC): @@ -53,7 +53,7 @@ async def cleanup(self): async def list_tools( self, run_context: RunContextWrapper[Any] | None = None, - agent: Agent[Any] | None = None, + agent: AgentBase | None = None, ) -> list[MCPTool]: """List the tools available on the server.""" pass @@ -117,7 +117,7 @@ async def _apply_tool_filter( self, tools: list[MCPTool], run_context: RunContextWrapper[Any], - agent: Agent[Any], + agent: AgentBase, ) -> list[MCPTool]: """Apply the tool filter to the list of tools.""" if self.tool_filter is None: @@ -153,7 +153,7 @@ async def _apply_dynamic_tool_filter( self, tools: list[MCPTool], run_context: RunContextWrapper[Any], - agent: Agent[Any], + agent: AgentBase, ) -> list[MCPTool]: """Apply dynamic tool filtering using a callable filter function.""" @@ -244,7 +244,7 @@ async def connect(self): async def list_tools( self, run_context: RunContextWrapper[Any] | None = None, - agent: Agent[Any] | None = None, + agent: AgentBase | None = None, ) -> list[MCPTool]: """List the tools available on the server.""" if not self.session: diff --git a/src/agents/mcp/util.py b/src/agents/mcp/util.py index 48da9f841..18cf4440a 100644 --- a/src/agents/mcp/util.py +++ b/src/agents/mcp/util.py @@ -5,12 +5,11 @@ from typing_extensions import NotRequired, TypedDict -from agents.strict_schema import ensure_strict_json_schema - from .. import _debug from ..exceptions import AgentsException, ModelBehaviorError, UserError from ..logger import logger from ..run_context import RunContextWrapper +from ..strict_schema import ensure_strict_json_schema from ..tool import FunctionTool, Tool from ..tracing import FunctionSpanData, get_current_span, mcp_tools_span from ..util._types import MaybeAwaitable @@ -18,7 +17,7 @@ if TYPE_CHECKING: from mcp.types import Tool as MCPTool - from ..agent import Agent + from ..agent import AgentBase from .server import MCPServer @@ -29,7 +28,7 @@ class ToolFilterContext: run_context: RunContextWrapper[Any] """The current run context.""" - agent: "Agent[Any]" + agent: "AgentBase" """The agent that is requesting the tool list.""" server_name: str @@ -100,7 +99,7 @@ async def get_all_function_tools( servers: list["MCPServer"], convert_schemas_to_strict: bool, run_context: RunContextWrapper[Any], - agent: "Agent[Any]", + agent: "AgentBase", ) -> list[Tool]: """Get all function tools from a list of MCP servers.""" tools = [] @@ -126,7 +125,7 @@ async def get_function_tools( server: "MCPServer", convert_schemas_to_strict: bool, run_context: RunContextWrapper[Any], - agent: "Agent[Any]", + agent: "AgentBase", ) -> list[Tool]: """Get all function tools from a single MCP server.""" diff --git a/src/agents/tool.py b/src/agents/tool.py index f2861b936..0faf09846 100644 --- a/src/agents/tool.py +++ b/src/agents/tool.py @@ -30,7 +30,7 @@ from .util._types import MaybeAwaitable if TYPE_CHECKING: - from .agent import Agent + from .agent import Agent, AgentBase ToolParams = ParamSpec("ToolParams") @@ -87,7 +87,7 @@ class FunctionTool: """Whether the JSON schema is in strict mode. We **strongly** recommend setting this to True, as it increases the likelihood of correct JSON input.""" - is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True + is_enabled: bool | Callable[[RunContextWrapper[Any], AgentBase], MaybeAwaitable[bool]] = True """Whether the tool is enabled. Either a bool or a Callable that takes the run context and agent and returns whether the tool is enabled. You can use this to dynamically enable/disable a tool based on your context/state.""" @@ -300,7 +300,7 @@ def function_tool( use_docstring_info: bool = True, failure_error_function: ToolErrorFunction | None = None, strict_mode: bool = True, - is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, + is_enabled: bool | Callable[[RunContextWrapper[Any], AgentBase], MaybeAwaitable[bool]] = True, ) -> FunctionTool: """Overload for usage as @function_tool (no parentheses).""" ... @@ -315,7 +315,7 @@ def function_tool( use_docstring_info: bool = True, failure_error_function: ToolErrorFunction | None = None, strict_mode: bool = True, - is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, + is_enabled: bool | Callable[[RunContextWrapper[Any], AgentBase], MaybeAwaitable[bool]] = True, ) -> Callable[[ToolFunction[...]], FunctionTool]: """Overload for usage as @function_tool(...).""" ... @@ -330,7 +330,7 @@ def function_tool( use_docstring_info: bool = True, failure_error_function: ToolErrorFunction | None = default_tool_error_function, strict_mode: bool = True, - is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, + is_enabled: bool | Callable[[RunContextWrapper[Any], AgentBase], MaybeAwaitable[bool]] = True, ) -> FunctionTool | Callable[[ToolFunction[...]], FunctionTool]: """ Decorator to create a FunctionTool from a function. By default, we will: diff --git a/tests/test_function_tool.py b/tests/test_function_tool.py index b232bf75e..9b02a2c42 100644 --- a/tests/test_function_tool.py +++ b/tests/test_function_tool.py @@ -5,7 +5,14 @@ from pydantic import BaseModel from typing_extensions import TypedDict -from agents import Agent, FunctionTool, ModelBehaviorError, RunContextWrapper, function_tool +from agents import ( + Agent, + AgentBase, + FunctionTool, + ModelBehaviorError, + RunContextWrapper, + function_tool, +) from agents.tool import default_tool_error_function from agents.tool_context import ToolContext @@ -268,7 +275,7 @@ async def test_is_enabled_bool_and_callable(): def disabled_tool(): return "nope" - async def cond_enabled(ctx: RunContextWrapper[BoolCtx], agent: Agent[Any]) -> bool: + async def cond_enabled(ctx: RunContextWrapper[BoolCtx], agent: AgentBase) -> bool: return ctx.context.enable_tools @function_tool(is_enabled=cond_enabled) From 3c2f2593b61c2390336be67b82c65dab79279ea4 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 12:11:19 -0400 Subject: [PATCH 163/337] [3/n] Config and items for realtime --- src/agents/model_settings.py | 4 +- src/agents/realtime/config.py | 91 +++++++++++++++++++++++++++++++ src/agents/realtime/items.py | 100 ++++++++++++++++++++++++++++++++++ 3 files changed, 194 insertions(+), 1 deletion(-) create mode 100644 src/agents/realtime/config.py create mode 100644 src/agents/realtime/items.py diff --git a/src/agents/model_settings.py b/src/agents/model_settings.py index f81f10989..9f29a0305 100644 --- a/src/agents/model_settings.py +++ b/src/agents/model_settings.py @@ -45,6 +45,8 @@ def validate_from_none(value: None) -> _Omit: Omit = Annotated[_Omit, _OmitTypeAnnotation] Headers: TypeAlias = Mapping[str, Union[str, Omit]] +ToolChoice: TypeAlias = Literal["auto", "required", "none"] | str | None + @dataclass @@ -70,7 +72,7 @@ class ModelSettings: presence_penalty: float | None = None """The presence penalty to use when calling the model.""" - tool_choice: Literal["auto", "required", "none"] | str | None = None + tool_choice: ToolChoice | None = None """The tool choice to use when calling the model.""" parallel_tool_calls: bool | None = None diff --git a/src/agents/realtime/config.py b/src/agents/realtime/config.py new file mode 100644 index 000000000..aa15c837d --- /dev/null +++ b/src/agents/realtime/config.py @@ -0,0 +1,91 @@ +from __future__ import annotations + +import inspect +from typing import ( + Any, + Callable, + Literal, + Union, +) + +from typing_extensions import NotRequired, TypeAlias, TypedDict + +from ..model_settings import ToolChoice +from ..tool import FunctionTool +from ..util._types import MaybeAwaitable + + +class RealtimeClientMessage(TypedDict): + type: str # explicitly required + other_data: NotRequired[dict[str, Any]] + + +class UserInputText(TypedDict): + type: Literal["input_text"] + text: str + + +class RealtimeUserInputMessage(TypedDict): + type: Literal["message"] + role: Literal["user"] + content: list[UserInputText] + + +RealtimeUserInput: TypeAlias = Union[str, RealtimeUserInputMessage] + + +RealtimeAudioFormat: TypeAlias = Union[Literal["pcm16", "g711_ulaw", "g711_alaw"], str] + + +class RealtimeInputAudioTranscriptionConfig(TypedDict): + language: NotRequired[str] + model: NotRequired[Literal["gpt-4o-transcribe", "gpt-4o-mini-transcribe", "whisper-1"] | str] + prompt: NotRequired[str] + + +class RealtimeTurnDetectionConfig(TypedDict): + """Turn detection config. Allows extra vendor keys if needed.""" + + type: NotRequired[Literal["semantic_vad", "server_vad"]] + create_response: NotRequired[bool] + eagerness: NotRequired[Literal["auto", "low", "medium", "high"]] + interrupt_response: NotRequired[bool] + prefix_padding_ms: NotRequired[int] + silence_duration_ms: NotRequired[int] + threshold: NotRequired[float] + + +class RealtimeSessionConfig(TypedDict): + api_key: NotRequired[APIKeyOrKeyFunc] + model: NotRequired[str] + instructions: NotRequired[str] + modalities: NotRequired[list[Literal["text", "audio"]]] + voice: NotRequired[str] + + input_audio_format: NotRequired[RealtimeAudioFormat] + output_audio_format: NotRequired[RealtimeAudioFormat] + input_audio_transcription: NotRequired[RealtimeInputAudioTranscriptionConfig] + turn_detection: NotRequired[RealtimeTurnDetectionConfig] + + tool_choice: NotRequired[ToolChoice] + tools: NotRequired[list[FunctionTool]] + + +APIKeyOrKeyFunc = str | Callable[[], MaybeAwaitable[str]] +"""Either an API key or a function that returns an API key.""" + + +async def get_api_key(key: APIKeyOrKeyFunc | None) -> str | None: + """Get the API key from the key or key function.""" + if key is None: + return None + elif isinstance(key, str): + return key + + result = key() + if inspect.isawaitable(result): + return await result + return result + + # TODO (rm) Add tracing support + # tracing: NotRequired[RealtimeTracingConfig | None] diff --git a/src/agents/realtime/items.py b/src/agents/realtime/items.py new file mode 100644 index 000000000..117a35a02 --- /dev/null +++ b/src/agents/realtime/items.py @@ -0,0 +1,100 @@ +from __future__ import annotations + +from typing import Annotated, Literal, Union + +from pydantic import BaseModel, ConfigDict, Field + + +class InputText(BaseModel): + type: Literal["input_text"] = "input_text" + text: str + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class InputAudio(BaseModel): + type: Literal["input_audio"] = "input_audio" + audio: str | None = None + transcript: str | None = None + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class AssistantText(BaseModel): + type: Literal["text"] = "text" + text: str + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class AssistantAudio(BaseModel): + type: Literal["audio"] = "audio" + audio: str | None = None + transcript: str | None = None + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class SystemMessageItem(BaseModel): + item_id: str + previous_item_id: str | None = None + type: Literal["message"] = "message" + role: Literal["system"] = "system" + content: list[InputText] + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class UserMessageItem(BaseModel): + item_id: str + previous_item_id: str | None = None + type: Literal["message"] = "message" + role: Literal["user"] = "user" + content: list[InputText | InputAudio] + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class AssistantMessageItem(BaseModel): + item_id: str + previous_item_id: str | None = None + type: Literal["message"] = "message" + role: Literal["assistant"] = "assistant" + status: Literal["in_progress", "completed", "incomplete"] | None = None + content: list[AssistantText | AssistantAudio] + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +RealtimeMessageItem = Annotated[ + Union[SystemMessageItem, UserMessageItem, AssistantMessageItem], + Field(discriminator="role"), +] + + +class RealtimeToolCallItem(BaseModel): + item_id: str + previous_item_id: str | None = None + type: Literal["function_call"] = "function_call" + status: Literal["in_progress", "completed"] + arguments: str + name: str + output: str | None = None + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +RealtimeItem = RealtimeMessageItem | RealtimeToolCallItem + + +class RealtimeResponse(BaseModel): + id: str + output: list[RealtimeMessageItem] From a615786d39e9e76fb703e9ec1237b6cd66c44974 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 12:11:19 -0400 Subject: [PATCH 164/337] [4/n] Transport interface + events --- src/agents/realtime/transport.py | 107 +++++++++++++++++ src/agents/realtime/transport_events.py | 148 ++++++++++++++++++++++++ tests/realtime/test_transport_events.py | 12 ++ 3 files changed, 267 insertions(+) create mode 100644 src/agents/realtime/transport.py create mode 100644 src/agents/realtime/transport_events.py create mode 100644 tests/realtime/test_transport_events.py diff --git a/src/agents/realtime/transport.py b/src/agents/realtime/transport.py new file mode 100644 index 000000000..18290d128 --- /dev/null +++ b/src/agents/realtime/transport.py @@ -0,0 +1,107 @@ +import abc +from typing import Any, Literal, Union + +from typing_extensions import NotRequired, TypeAlias, TypedDict + +from .config import APIKeyOrKeyFunc, RealtimeClientMessage, RealtimeSessionConfig, RealtimeUserInput +from .transport_events import RealtimeTransportEvent, RealtimeTransportToolCallEvent + +RealtimeModelName: TypeAlias = Union[ + Literal[ + "gpt-4o-realtime-preview", + "gpt-4o-mini-realtime-preview", + "gpt-4o-realtime-preview-2025-06-03", + "gpt-4o-realtime-preview-2024-12-17", + "gpt-4o-realtime-preview-2024-10-01", + "gpt-4o-mini-realtime-preview-2024-12-17", + ], + str, +] +"""The name of a realtime model.""" + + +class RealtimeTransportListener(abc.ABC): + """A listener for realtime transport events.""" + + @abc.abstractmethod + async def on_event(self, event: RealtimeTransportEvent) -> None: + """Called when an event is emitted by the realtime transport.""" + pass + + +class RealtimeTransportConnectionOptions(TypedDict): + """Options for connecting to a realtime transport.""" + + api_key: NotRequired[APIKeyOrKeyFunc] + """The API key to use for the transport. If unset, the transport will attempt to use the + `OPENAI_API_KEY` environment variable. + """ + + model: NotRequired[str] + """The model to use.""" + + url: NotRequired[str] + """The URL to use for the transport. If unset, the transport will use the default OpenAI + WebSocket URL. + """ + + initial_session_config: NotRequired[RealtimeSessionConfig] + + +class RealtimeSessionTransport(abc.ABC): + """A transport layer for realtime sessions.""" + + @abc.abstractmethod + async def connect(self, options: RealtimeTransportConnectionOptions) -> None: + """Establish a connection to the model and keep it alive.""" + pass + + @abc.abstractmethod + def add_listener(self, listener: RealtimeTransportListener) -> None: + """Add a listener to the transport.""" + pass + + @abc.abstractmethod + async def remove_listener(self, listener: RealtimeTransportListener) -> None: + """Remove a listener from the transport.""" + pass + + @abc.abstractmethod + async def send_event(self, event: RealtimeClientMessage) -> None: + """Send an event to the model.""" + pass + + @abc.abstractmethod + async def send_message( + self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None + ) -> None: + """Send a message to the model.""" + pass + + @abc.abstractmethod + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Send a raw audio chunk to the model. + + Args: + audio: The audio data to send. + commit: Whether to commit the audio buffer to the model. If the model does not do turn + detection, this can be used to indicate the turn is completed. + """ + pass + + @abc.abstractmethod + async def send_tool_output( + self, tool_call: RealtimeTransportToolCallEvent, output: str, start_response: bool + ) -> None: + """Send tool output to the model.""" + pass + + @abc.abstractmethod + async def interrupt(self) -> None: + """Interrupt the model. For example, could be triggered by a guardrail.""" + pass + + @abc.abstractmethod + async def close(self) -> None: + """Close the session.""" + pass diff --git a/src/agents/realtime/transport_events.py b/src/agents/realtime/transport_events.py new file mode 100644 index 000000000..596065654 --- /dev/null +++ b/src/agents/realtime/transport_events.py @@ -0,0 +1,148 @@ +from __future__ import annotations + +from dataclasses import dataclass +from typing import Any, Literal, TypeAlias, Union + +from .items import RealtimeItem + +RealtimeConnectionStatus: TypeAlias = Literal["connecting", "connected", "disconnected"] + + +@dataclass +class RealtimeTransportErrorEvent: + """Represents a transport‑layer error.""" + + error: Any + + type: Literal["error"] = "error" + + +@dataclass +class RealtimeTransportToolCallEvent: + """Model attempted a tool/function call.""" + + name: str + call_id: str + arguments: str + + id: str | None = None + previous_item_id: str | None = None + + type: Literal["function_call"] = "function_call" + + +@dataclass +class RealtimeTransportAudioEvent: + """Raw audio bytes emitted by the model.""" + + data: bytes + response_id: str + + type: Literal["audio"] = "audio" + + +@dataclass +class RealtimeTransportAudioInterruptedEvent: + """Audio interrupted.""" + + type: Literal["audio_interrupted"] = "audio_interrupted" + + +@dataclass +class RealtimeTransportAudioDoneEvent: + """Audio done.""" + + type: Literal["audio_done"] = "audio_done" + + +@dataclass +class RealtimeTransportInputAudioTranscriptionCompletedEvent: + """Input audio transcription completed.""" + + item_id: str + transcript: str + + type: Literal["conversation.item.input_audio_transcription.completed"] = ( + "conversation.item.input_audio_transcription.completed" + ) + + +@dataclass +class RealtimeTransportTranscriptDelta: + """Partial transcript update.""" + + item_id: str + delta: str + response_id: str + + type: Literal["transcript_delta"] = "transcript_delta" + + +@dataclass +class RealtimeTransportItemUpdatedEvent: + """Item added to the history or updated.""" + + item: RealtimeItem + + type: Literal["item_updated"] = "item_updated" + + +@dataclass +class RealtimeTransportItemDeletedEvent: + """Item deleted from the history.""" + + item_id: str + + type: Literal["item_deleted"] = "item_deleted" + + +@dataclass +class RealtimeTransportConnectionStatusEvent: + """Connection status changed.""" + + status: RealtimeConnectionStatus + + type: Literal["connection_status"] = "connection_status" + + +@dataclass +class RealtimeTransportTurnStartedEvent: + """Triggered when the model starts generating a response for a turn.""" + + type: Literal["turn_started"] = "turn_started" + + +@dataclass +class RealtimeTransportTurnEndedEvent: + """Triggered when the model finishes generating a response for a turn.""" + + type: Literal["turn_ended"] = "turn_ended" + + +@dataclass +class RealtimeTransportOtherEvent: + """Used as a catchall for vendor-specific events.""" + + data: Any + + type: Literal["other"] = "other" + + +# TODO (rm) Add usage events + + +RealtimeTransportEvent: TypeAlias = Union[ + RealtimeTransportErrorEvent, + RealtimeTransportToolCallEvent, + RealtimeTransportAudioEvent, + RealtimeTransportAudioInterruptedEvent, + RealtimeTransportAudioDoneEvent, + RealtimeTransportInputAudioTranscriptionCompletedEvent, + RealtimeTransportTranscriptDelta, + RealtimeTransportItemUpdatedEvent, + RealtimeTransportItemDeletedEvent, + RealtimeTransportConnectionStatusEvent, + RealtimeTransportTurnStartedEvent, + RealtimeTransportTurnEndedEvent, + RealtimeTransportOtherEvent, +] diff --git a/tests/realtime/test_transport_events.py b/tests/realtime/test_transport_events.py new file mode 100644 index 000000000..2219303d0 --- /dev/null +++ b/tests/realtime/test_transport_events.py @@ -0,0 +1,12 @@ +from typing import get_args + +from agents.realtime.transport_events import RealtimeTransportEvent + + +def test_all_events_have_type() -> None: + """Test that all events have a type.""" + events = get_args(RealtimeTransportEvent) + assert len(events) > 0 + for event in events: + assert event.type is not None + assert isinstance(event.type, str) From b5d06a0ae4f0d5f11179a0cd8cbcd91ae727c348 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 12:11:19 -0400 Subject: [PATCH 165/337] [5/n] OpenAI realtime transport impl --- pyproject.toml | 1 + src/agents/realtime/openai_realtime.py | 353 +++++++++++++++++++++++++ 2 files changed, 354 insertions(+) create mode 100644 src/agents/realtime/openai_realtime.py diff --git a/pyproject.toml b/pyproject.toml index e659348ca..44bc45947 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -37,6 +37,7 @@ Repository = "https://github.com/openai/openai-agents-python" voice = ["numpy>=2.2.0, <3; python_version>='3.10'", "websockets>=15.0, <16"] viz = ["graphviz>=0.17"] litellm = ["litellm>=1.67.4.post1, <2"] +realtime = ["websockets>=15.0, <16"] [dependency-groups] dev = [ diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py new file mode 100644 index 000000000..226eaed7d --- /dev/null +++ b/src/agents/realtime/openai_realtime.py @@ -0,0 +1,353 @@ +import asyncio +import base64 +import json +import os +from datetime import datetime +from typing import Any + +import websockets +from openai.types.beta.realtime.realtime_server_event import ( + RealtimeServerEvent as OpenAIRealtimeServerEvent, +) +from pydantic import TypeAdapter +from websockets.asyncio.client import ClientConnection + +from ..exceptions import UserError +from ..logger import logger +from .config import RealtimeClientMessage, RealtimeUserInput, get_api_key +from .items import RealtimeMessageItem, RealtimeToolCallItem +from .transport import ( + RealtimeSessionTransport, + RealtimeTransportConnectionOptions, + RealtimeTransportListener, +) +from .transport_events import ( + RealtimeTransportAudioDoneEvent, + RealtimeTransportAudioEvent, + RealtimeTransportAudioInterruptedEvent, + RealtimeTransportErrorEvent, + RealtimeTransportEvent, + RealtimeTransportInputAudioTranscriptionCompletedEvent, + RealtimeTransportItemDeletedEvent, + RealtimeTransportItemUpdatedEvent, + RealtimeTransportToolCallEvent, + RealtimeTransportTranscriptDelta, + RealtimeTransportTurnEndedEvent, + RealtimeTransportTurnStartedEvent, +) + + +class OpenAIRealtimeWebSocketTransport(RealtimeSessionTransport): + """A transport layer for realtime sessions that uses OpenAI's WebSocket API.""" + + def __init__(self) -> None: + self.model = "gpt-4o-realtime-preview" # Default model + self._websocket: ClientConnection | None = None + self._websocket_task: asyncio.Task[None] | None = None + self._listeners: list[RealtimeTransportListener] = [] + self._current_item_id: str | None = None + self._audio_start_time: datetime | None = None + self._audio_length_ms: float = 0.0 + self._ongoing_response: bool = False + self._current_audio_content_index: int | None = None + + async def connect(self, options: RealtimeTransportConnectionOptions) -> None: + """Establish a connection to the model and keep it alive.""" + assert self._websocket is None, "Already connected" + assert self._websocket_task is None, "Already connected" + + self.model = options.get("model", self.model) + api_key = await get_api_key(options.get("api_key", os.getenv("OPENAI_API_KEY"))) + + if not api_key: + raise UserError("API key is required but was not provided.") + + url = options.get("url", f"wss://api.openai.com/v1/realtime?model={self.model}") + + headers = { + "Authorization": f"Bearer {api_key}", + "OpenAI-Beta": "realtime=v1", + } + self._websocket = await websockets.connect(url, additional_headers=headers) + self._websocket_task = asyncio.create_task(self._listen_for_messages()) + + def add_listener(self, listener: RealtimeTransportListener) -> None: + """Add a listener to the transport.""" + self._listeners.append(listener) + + async def remove_listener(self, listener: RealtimeTransportListener) -> None: + """Remove a listener from the transport.""" + self._listeners.remove(listener) + + async def _emit_event(self, event: RealtimeTransportEvent) -> None: + """Emit an event to the listeners.""" + for listener in self._listeners: + await listener.on_event(event) + + async def _listen_for_messages(self): + assert self._websocket is not None, "Not connected" + + try: + async for message in self._websocket: + parsed = json.loads(message) + await self._handle_ws_event(parsed) + + except websockets.exceptions.ConnectionClosed: + # TODO connection closed handling (event, cleanup) + logger.warning("WebSocket connection closed") + except Exception as e: + logger.error(f"WebSocket error: {e}") + + async def send_event(self, event: RealtimeClientMessage) -> None: + """Send an event to the model.""" + assert self._websocket is not None, "Not connected" + converted_event = { + "type": event["type"], + } + + converted_event.update(event.get("other_data", {})) + + await self._websocket.send(json.dumps(converted_event)) + + async def send_message( + self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None + ) -> None: + """Send a message to the model.""" + message = ( + message + if isinstance(message, dict) + else { + "type": "message", + "role": "user", + "content": [{"type": "input_text", "text": message}], + } + ) + other_data = { + "item": message, + } + if other_event_data: + other_data.update(other_event_data) + + await self.send_event({"type": "conversation.item.create", "other_data": other_data}) + + await self.send_event({"type": "response.create"}) + + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Send a raw audio chunk to the model. + + Args: + audio: The audio data to send. + commit: Whether to commit the audio buffer to the model. If the model does not do turn + detection, this can be used to indicate the turn is completed. + """ + assert self._websocket is not None, "Not connected" + base64_audio = base64.b64encode(audio).decode("utf-8") + await self.send_event( + { + "type": "input_audio_buffer.append", + "other_data": { + "audio": base64_audio, + }, + } + ) + if commit: + await self.send_event({"type": "input_audio_buffer.commit"}) + + async def send_tool_output( + self, tool_call: RealtimeTransportToolCallEvent, output: str, start_response: bool + ) -> None: + """Send tool output to the model.""" + await self.send_event( + { + "type": "conversation.item.create", + "other_data": { + "item": { + "type": "function_call_output", + "output": output, + "call_id": tool_call.id, + }, + }, + } + ) + + tool_item = RealtimeToolCallItem( + item_id=tool_call.id or "", + previous_item_id=tool_call.previous_item_id, + type="function_call", + status="completed", + arguments=tool_call.arguments, + name=tool_call.name, + output=output, + ) + await self._emit_event(RealtimeTransportItemUpdatedEvent(item=tool_item)) + + if start_response: + await self.send_event({"type": "response.create"}) + + async def interrupt(self) -> None: + """Interrupt the model.""" + if not self._current_item_id or not self._audio_start_time: + return + + await self._cancel_response() + + elapsed_time_ms = (datetime.now() - self._audio_start_time).total_seconds() * 1000 + if elapsed_time_ms > 0 and elapsed_time_ms < self._audio_length_ms: + await self._emit_event(RealtimeTransportAudioInterruptedEvent()) + await self.send_event( + { + "type": "conversation.item.truncate", + "other_data": { + "item_id": self._current_item_id, + "content_index": self._current_audio_content_index, + "audio_end_ms": elapsed_time_ms, + }, + } + ) + + self._current_item_id = None + self._audio_start_time = None + self._audio_length_ms = 0.0 + self._current_audio_content_index = None + + async def close(self) -> None: + """Close the session.""" + if self._websocket: + await self._websocket.close() + self._websocket = None + if self._websocket_task: + self._websocket_task.cancel() + self._websocket_task = None + + async def _cancel_response(self) -> None: + if self._ongoing_response: + await self.send_event({"type": "response.cancel"}) + self._ongoing_response = False + + async def _handle_ws_event(self, event: dict[str, Any]): + try: + parsed: OpenAIRealtimeServerEvent = TypeAdapter( + OpenAIRealtimeServerEvent + ).validate_python(event) + except Exception as e: + logger.error(f"Invalid event: {event} - {e}") + await self._emit_event(RealtimeTransportErrorEvent(error=f"Invalid event: {event}")) + return + + if parsed.type == "response.audio.delta": + self._current_audio_content_index = parsed.content_index + self._current_item_id = parsed.item_id + if self._audio_start_time is None: + self._audio_start_time = datetime.now() + self._audio_length_ms = 0.0 + + audio_bytes = base64.b64decode(parsed.delta) + # Calculate audio length in ms using 24KHz pcm16le + self._audio_length_ms += len(audio_bytes) / 24 / 2 + await self._emit_event( + RealtimeTransportAudioEvent(data=audio_bytes, response_id=parsed.response_id) + ) + elif parsed.type == "response.audio.done": + await self._emit_event(RealtimeTransportAudioDoneEvent()) + elif parsed.type == "input_audio_buffer.speech_started": + await self.interrupt() + elif parsed.type == "response.created": + self._ongoing_response = True + await self._emit_event(RealtimeTransportTurnStartedEvent()) + elif parsed.type == "response.done": + self._ongoing_response = False + await self._emit_event(RealtimeTransportTurnEndedEvent()) + elif parsed.type == "session.created": + # TODO (rm) tracing stuff here + pass + elif parsed.type == "error": + await self._emit_event(RealtimeTransportErrorEvent(error=parsed.error)) + elif parsed.type == "conversation.item.deleted": + await self._emit_event(RealtimeTransportItemDeletedEvent(item_id=parsed.item_id)) + elif ( + parsed.type == "conversation.item.created" + or parsed.type == "conversation.item.retrieved" + ): + item = parsed.item + previous_item_id = ( + parsed.previous_item_id if parsed.type == "conversation.item.created" else None + ) + message_item: RealtimeMessageItem = TypeAdapter(RealtimeMessageItem).validate_python( + { + "item_id": item.id or "", + "previous_item_id": previous_item_id, + "type": item.type, + "role": item.role, + "content": item.content, + "status": "in_progress", + } + ) + await self._emit_event(RealtimeTransportItemUpdatedEvent(item=message_item)) + elif ( + parsed.type == "conversation.item.input_audio_transcription.completed" + or parsed.type == "conversation.item.truncated" + ): + await self.send_event( + { + "type": "conversation.item.retrieve", + "other_data": { + "item_id": self._current_item_id, + }, + } + ) + if parsed.type == "conversation.item.input_audio_transcription.completed": + await self._emit_event( + RealtimeTransportInputAudioTranscriptionCompletedEvent( + item_id=parsed.item_id, transcript=parsed.transcript + ) + ) + elif parsed.type == "response.audio_transcript.delta": + await self._emit_event( + RealtimeTransportTranscriptDelta( + item_id=parsed.item_id, delta=parsed.delta, response_id=parsed.response_id + ) + ) + elif ( + parsed.type == "conversation.item.input_audio_transcription.delta" + or parsed.type == "response.text.delta" + or parsed.type == "response.function_call_arguments.delta" + ): + # No support for partials yet + pass + elif ( + parsed.type == "response.output_item.added" + or parsed.type == "response.output_item.done" + ): + item = parsed.item + if item.type == "function_call" and item.status == "completed": + tool_call = RealtimeToolCallItem( + item_id=item.id or "", + previous_item_id=None, + type="function_call", + # We use the same item for tool call and output, so it will be completed by the + # output being added + status="in_progress", + arguments=item.arguments or "", + name=item.name or "", + output=None, + ) + await self._emit_event(RealtimeTransportItemUpdatedEvent(item=tool_call)) + await self._emit_event( + RealtimeTransportToolCallEvent( + call_id=item.id or "", + name=item.name or "", + arguments=item.arguments or "", + id=item.id or "", + ) + ) + elif item.type == "message": + message_item = TypeAdapter(RealtimeMessageItem).validate_python( + { + "item_id": item.id or "", + "type": item.type, + "role": item.role, + "content": item.content, + "status": "in_progress", + } + ) + await self._emit_event(RealtimeTransportItemUpdatedEvent(item=message_item)) From 584da36870f9968b7bdb655ede47f2f3edb652c9 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 12:11:19 -0400 Subject: [PATCH 166/337] [6/n] RealtimeSession + events --- src/agents/realtime/README.md | 3 + src/agents/realtime/__init__.py | 51 +++++ src/agents/realtime/events.py | 198 +++++++++++++++++ src/agents/realtime/session.py | 369 ++++++++++++++++++++++++++++++++ tests/realtime/__init__.py | 0 5 files changed, 621 insertions(+) create mode 100644 src/agents/realtime/README.md create mode 100644 src/agents/realtime/__init__.py create mode 100644 src/agents/realtime/events.py create mode 100644 src/agents/realtime/session.py create mode 100644 tests/realtime/__init__.py diff --git a/src/agents/realtime/README.md b/src/agents/realtime/README.md new file mode 100644 index 000000000..9acc23160 --- /dev/null +++ b/src/agents/realtime/README.md @@ -0,0 +1,3 @@ +# Realtime + +Realtime agents are in beta: expect some breaking changes over the next few weeks as we find issues and fix them. diff --git a/src/agents/realtime/__init__.py b/src/agents/realtime/__init__.py new file mode 100644 index 000000000..7e5d4932a --- /dev/null +++ b/src/agents/realtime/__init__.py @@ -0,0 +1,51 @@ +from .agent import RealtimeAgent, RealtimeAgentHooks, RealtimeRunHooks +from .config import APIKeyOrKeyFunc +from .events import ( + RealtimeAgentEndEvent, + RealtimeAgentStartEvent, + RealtimeAudio, + RealtimeAudioEnd, + RealtimeAudioInterrupted, + RealtimeError, + RealtimeHandoffEvent, + RealtimeHistoryAdded, + RealtimeHistoryUpdated, + RealtimeRawTransportEvent, + RealtimeSessionEvent, + RealtimeToolEnd, + RealtimeToolStart, +) +from .session import RealtimeSession +from .transport import ( + RealtimeModelName, + RealtimeSessionTransport, + RealtimeTransportConnectionOptions, + RealtimeTransportListener, +) + +__all__ = [ + "RealtimeAgent", + "RealtimeAgentHooks", + "RealtimeRunHooks", + "RealtimeSession", + "RealtimeSessionListener", + "RealtimeSessionListenerFunc", + "APIKeyOrKeyFunc", + "RealtimeModelName", + "RealtimeSessionTransport", + "RealtimeTransportListener", + "RealtimeTransportConnectionOptions", + "RealtimeSessionEvent", + "RealtimeAgentStartEvent", + "RealtimeAgentEndEvent", + "RealtimeHandoffEvent", + "RealtimeToolStart", + "RealtimeToolEnd", + "RealtimeRawTransportEvent", + "RealtimeAudioEnd", + "RealtimeAudio", + "RealtimeAudioInterrupted", + "RealtimeError", + "RealtimeHistoryUpdated", + "RealtimeHistoryAdded", +] diff --git a/src/agents/realtime/events.py b/src/agents/realtime/events.py new file mode 100644 index 000000000..bd6b7b5b0 --- /dev/null +++ b/src/agents/realtime/events.py @@ -0,0 +1,198 @@ +from dataclasses import dataclass +from typing import Any, Literal, Union + +from typing_extensions import TypeAlias + +from ..run_context import RunContextWrapper +from ..tool import Tool +from .agent import RealtimeAgent +from .items import RealtimeItem +from .transport_events import RealtimeTransportAudioEvent, RealtimeTransportEvent + + +@dataclass +class RealtimeEventInfo: + context: RunContextWrapper + """The context for the event.""" + + +@dataclass +class RealtimeAgentStartEvent: + """A new agent has started.""" + + agent: RealtimeAgent + """The new agent.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["agent_start"] = "agent_start" + + +@dataclass +class RealtimeAgentEndEvent: + """An agent has ended.""" + + agent: RealtimeAgent + """The agent that ended.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["agent_end"] = "agent_end" + + +@dataclass +class RealtimeHandoffEvent: + """An agent has handed off to another agent.""" + + from_agent: RealtimeAgent + """The agent that handed off.""" + + to_agent: RealtimeAgent + """The agent that was handed off to.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["handoff"] = "handoff" + + +@dataclass +class RealtimeToolStart: + """An agent is starting a tool call.""" + + agent: RealtimeAgent + """The agent that updated.""" + + tool: Tool + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["tool_start"] = "tool_start" + + +@dataclass +class RealtimeToolEnd: + """An agent has ended a tool call.""" + + agent: RealtimeAgent + """The agent that ended the tool call.""" + + tool: Tool + """The tool that was called.""" + + output: Any + """The output of the tool call.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["tool_end"] = "tool_end" + + +@dataclass +class RealtimeRawTransportEvent: + """Forwards raw events from the transport layer.""" + + data: RealtimeTransportEvent + """The raw data from the transport layer.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["raw_transport_event"] = "raw_transport_event" + + +@dataclass +class RealtimeAudioEnd: + """Triggered when the agent stops generating audio.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["audio_end"] = "audio_end" + + +@dataclass +class RealtimeAudio: + """Triggered when the agent generates new audio to be played.""" + + audio: RealtimeTransportAudioEvent + """The audio event from the transport layer.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["audio"] = "audio" + + +@dataclass +class RealtimeAudioInterrupted: + """Triggered when the agent is interrupted. Can be listened to by the user to stop audio + playback or give visual indicators to the user. + """ + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["audio_interrupted"] = "audio_interrupted" + + +@dataclass +class RealtimeError: + """An error has occurred.""" + + error: Any + """The error that occurred.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["error"] = "error" + + +@dataclass +class RealtimeHistoryUpdated: + """The history has been updated. Contains the full history of the session.""" + + history: list[RealtimeItem] + """The full history of the session.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["history_updated"] = "history_updated" + + +@dataclass +class RealtimeHistoryAdded: + """A new item has been added to the history.""" + + item: RealtimeItem + """The new item that was added to the history.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["history_added"] = "history_added" + + +# TODO (rm) Add guardrails + +RealtimeSessionEvent: TypeAlias = Union[ + RealtimeAgentStartEvent, + RealtimeAgentEndEvent, + RealtimeHandoffEvent, + RealtimeToolStart, + RealtimeToolEnd, + RealtimeRawTransportEvent, + RealtimeAudioEnd, + RealtimeAudio, + RealtimeAudioInterrupted, + RealtimeError, + RealtimeHistoryUpdated, + RealtimeHistoryAdded, +] +"""An event emitted by the realtime session.""" diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py new file mode 100644 index 000000000..fd2a0a3ff --- /dev/null +++ b/src/agents/realtime/session.py @@ -0,0 +1,369 @@ +"""Minimal realtime session implementation for voice agents.""" + +from __future__ import annotations + +import abc +import asyncio +from collections.abc import Awaitable +from typing import Any, Callable, Literal + +from typing_extensions import TypeAlias, assert_never + +from ..handoffs import Handoff +from ..run_context import RunContextWrapper +from ..tool import FunctionTool +from ..tool_context import ToolContext +from .agent import RealtimeAgent +from .config import APIKeyOrKeyFunc, RealtimeSessionConfig, RealtimeUserInput +from .events import ( + RealtimeAgentEndEvent, + RealtimeAgentStartEvent, + RealtimeAudio, + RealtimeAudioEnd, + RealtimeAudioInterrupted, + RealtimeError, + RealtimeEventInfo, + RealtimeHandoffEvent, # noqa: F401 + RealtimeHistoryAdded, + RealtimeHistoryUpdated, + RealtimeRawTransportEvent, + RealtimeSessionEvent, + RealtimeToolEnd, + RealtimeToolStart, +) +from .items import InputAudio, InputText, RealtimeItem +from .openai_realtime import OpenAIRealtimeWebSocketTransport +from .transport import ( + RealtimeModelName, + RealtimeSessionTransport, + RealtimeTransportConnectionOptions, + RealtimeTransportListener, +) +from .transport_events import ( + RealtimeTransportEvent, + RealtimeTransportInputAudioTranscriptionCompletedEvent, + RealtimeTransportToolCallEvent, +) + + +class RealtimeSessionListener(abc.ABC): + """A listener for realtime session events.""" + + @abc.abstractmethod + async def on_event(self, event: RealtimeSessionEvent) -> None: + """Called when an event is emitted by the realtime session.""" + pass + + +RealtimeSessionListenerFunc: TypeAlias = Callable[[RealtimeSessionEvent], Awaitable[None]] +"""A function that can be used as a listener for realtime session events.""" + + +class _RealtimeFuncListener(RealtimeSessionListener): + """A listener that wraps a function.""" + + def __init__(self, func: RealtimeSessionListenerFunc) -> None: + self._func = func + + async def on_event(self, event: RealtimeSessionEvent) -> None: + """Call the wrapped function with the event.""" + await self._func(event) + + +class RealtimeSession(RealtimeTransportListener): + """A `RealtimeSession` is the equivalent of `Runner` for realtime agents. It automatically + handles multiple turns by maintaining a persistent connection with the underlying transport + layer. + + The session manages the local history copy, executes tools, runs guardrails and facilitates + handoffs between agents. + + Since this code runs on your server, it uses WebSockets by default. You can optionally create + your own custom transport layer by implementing the `RealtimeSessionTransport` interface. + """ + + def __init__( + self, + starting_agent: RealtimeAgent, + *, + context: Any | None = None, + transport: Literal["websocket"] | RealtimeSessionTransport = "websocket", + api_key: APIKeyOrKeyFunc | None = None, + model: RealtimeModelName | None = None, + config: RealtimeSessionConfig | None = None, + # TODO (rm) Add guardrail support + # TODO (rm) Add tracing support + # TODO (rm) Add history audio storage config + ) -> None: + """Initialize the realtime session. + + Args: + starting_agent: The agent to start the session with. + context: The context to use for the session. + transport: The transport to use for the session. Defaults to using websockets. + api_key: The API key to use for the session. + model: The model to use. Must be a realtime model. + config: Override parameters to use. + """ + self._current_agent = starting_agent + self._context_wrapper = RunContextWrapper(context) + self._event_info = RealtimeEventInfo(context=self._context_wrapper) + self._override_config = config + self._history: list[RealtimeItem] = [] + self._model = model + self._api_key = api_key + + self._listeners: list[RealtimeSessionListener] = [] + + if transport == "websocket": + self._transport: RealtimeSessionTransport = OpenAIRealtimeWebSocketTransport() + else: + self._transport = transport + + async def __aenter__(self) -> RealtimeSession: + """Async context manager entry.""" + await self.connect() + return self + + async def __aexit__(self, _exc_type: Any, _exc_val: Any, _exc_tb: Any) -> None: + """Async context manager exit.""" + await self.end() + + async def connect(self) -> None: + """Start the session: connect to the model and start the connection.""" + self._transport.add_listener(self) + + config = await self.create_session_config( + overrides=self._override_config, + ) + + options: RealtimeTransportConnectionOptions = { + "initial_session_config": config, + } + + if config.get("api_key") is not None: + options["api_key"] = config["api_key"] + elif self._api_key is not None: + options["api_key"] = self._api_key + + if config.get("model") is not None: + options["model"] = config["model"] + elif self._model is not None: + options["model"] = self._model + + await self._transport.connect(options) + + await self._emit_event( + RealtimeHistoryUpdated( + history=self._history, + info=self._event_info, + ) + ) + + async def end(self) -> None: + """End the session: disconnect from the model and close the connection.""" + pass + + def add_listener(self, listener: RealtimeSessionListener | RealtimeSessionListenerFunc) -> None: + """Add a listener to the session.""" + if isinstance(listener, RealtimeSessionListener): + self._listeners.append(listener) + else: + self._listeners.append(_RealtimeFuncListener(listener)) + + def remove_listener( + self, listener: RealtimeSessionListener | RealtimeSessionListenerFunc + ) -> None: + """Remove a listener from the session.""" + if isinstance(listener, RealtimeSessionListener): + self._listeners.remove(listener) + else: + for x in self._listeners: + if isinstance(x, _RealtimeFuncListener) and x._func == listener: + self._listeners.remove(x) + break + + async def create_session_config( + self, overrides: RealtimeSessionConfig | None = None + ) -> RealtimeSessionConfig: + """Create the session config.""" + agent = self._current_agent + instructions, tools = await asyncio.gather( + agent.get_system_prompt(self._context_wrapper), + agent.get_all_tools(self._context_wrapper), + ) + config = RealtimeSessionConfig() + + if self._model is not None: + config["model"] = self._model + if instructions is not None: + config["instructions"] = instructions + if tools is not None: + config["tools"] = [tool for tool in tools if isinstance(tool, FunctionTool)] + + if overrides: + config.update(overrides) + + return config + + async def send_message(self, message: RealtimeUserInput) -> None: + """Send a message to the model.""" + await self._transport.send_message(message) + + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Send a raw audio chunk to the model.""" + await self._transport.send_audio(audio, commit=commit) + + async def interrupt(self) -> None: + """Interrupt the model.""" + await self._transport.interrupt() + + async def on_event(self, event: RealtimeTransportEvent) -> None: + """Called when an event is emitted by the realtime transport.""" + await self._emit_event(RealtimeRawTransportEvent(data=event, info=self._event_info)) + + if event.type == "error": + await self._emit_event(RealtimeError(info=self._event_info, error=event.error)) + elif event.type == "function_call": + await self._handle_tool_call(event) + elif event.type == "audio": + await self._emit_event(RealtimeAudio(info=self._event_info, audio=event)) + elif event.type == "audio_interrupted": + await self._emit_event(RealtimeAudioInterrupted(info=self._event_info)) + elif event.type == "audio_done": + await self._emit_event(RealtimeAudioEnd(info=self._event_info)) + elif event.type == "conversation.item.input_audio_transcription.completed": + self._history = self._get_new_history(self._history, event) + await self._emit_event( + RealtimeHistoryUpdated(info=self._event_info, history=self._history) + ) + elif event.type == "transcript_delta": + # TODO (rm) Add guardrails + pass + elif event.type == "item_updated": + is_new = any(item.item_id == event.item.item_id for item in self._history) + self._history = self._get_new_history(self._history, event.item) + if is_new: + new_item = next( + item for item in self._history if item.item_id == event.item.item_id + ) + await self._emit_event(RealtimeHistoryAdded(info=self._event_info, item=new_item)) + else: + await self._emit_event( + RealtimeHistoryUpdated(info=self._event_info, history=self._history) + ) + pass + elif event.type == "item_deleted": + deleted_id = event.item_id + self._history = [item for item in self._history if item.item_id != deleted_id] + await self._emit_event( + RealtimeHistoryUpdated(info=self._event_info, history=self._history) + ) + elif event.type == "connection_status": + pass + elif event.type == "turn_started": + await self._emit_event( + RealtimeAgentStartEvent( + agent=self._current_agent, + info=self._event_info, + ) + ) + elif event.type == "turn_ended": + await self._emit_event( + RealtimeAgentEndEvent( + agent=self._current_agent, + info=self._event_info, + ) + ) + elif event.type == "other": + pass + else: + assert_never(event) + + async def _emit_event(self, event: RealtimeSessionEvent) -> None: + """Emit an event to the listeners.""" + await asyncio.gather(*[listener.on_event(event) for listener in self._listeners]) + + async def _handle_tool_call(self, event: RealtimeTransportToolCallEvent) -> None: + all_tools = await self._current_agent.get_all_tools(self._context_wrapper) + function_map = {tool.name: tool for tool in all_tools if isinstance(tool, FunctionTool)} + handoff_map = {tool.name: tool for tool in all_tools if isinstance(tool, Handoff)} + + if event.name in function_map: + await self._emit_event( + RealtimeToolStart( + info=self._event_info, + tool=function_map[event.name], + agent=self._current_agent, + ) + ) + + func_tool = function_map[event.name] + tool_context = ToolContext.from_agent_context(self._context_wrapper, event.call_id) + result = await func_tool.on_invoke_tool(tool_context, event.arguments) + + await self._transport.send_tool_output(event, str(result), True) + + await self._emit_event( + RealtimeToolEnd( + info=self._event_info, + tool=func_tool, + output=result, + agent=self._current_agent, + ) + ) + elif event.name in handoff_map: + # TODO (rm) Add support for handoffs + pass + else: + # TODO (rm) Add error handling + pass + + def _get_new_history( + self, + old_history: list[RealtimeItem], + event: RealtimeTransportInputAudioTranscriptionCompletedEvent | RealtimeItem, + ) -> list[RealtimeItem]: + # Merge transcript into placeholder input_audio message. + if isinstance(event, RealtimeTransportInputAudioTranscriptionCompletedEvent): + new_history: list[RealtimeItem] = [] + for item in old_history: + if item.item_id == event.item_id and item.type == "message" and item.role == "user": + content: list[InputText | InputAudio] = [] + for entry in item.content: + if entry.type == "input_audio": + copied_entry = entry.model_copy(update={"transcript": event.transcript}) + content.append(copied_entry) + else: + content.append(entry) # type: ignore + new_history.append( + item.model_copy(update={"content": content, "status": "completed"}) + ) + else: + new_history.append(item) + return new_history + + # Otherwise it's just a new item + # TODO (rm) Add support for audio storage config + + # If the item already exists, update it + existing_index = next( + (i for i, item in enumerate(old_history) if item.item_id == event.item_id), None + ) + if existing_index is not None: + new_history = old_history.copy() + new_history[existing_index] = event + return new_history + # Otherwise, insert it after the previous_item_id if that is set + elif item.previous_item_id: + # Insert the new item after the previous item + previous_index = next( + (i for i, item in enumerate(old_history) if item.item_id == event.previous_item_id), + None, + ) + if previous_index is not None: + new_history = old_history.copy() + new_history.insert(previous_index + 1, event) + return new_history + # Otherwise, add it to the end + return old_history + [event] diff --git a/tests/realtime/__init__.py b/tests/realtime/__init__.py new file mode 100644 index 000000000..e69de29bb From 4df7f68688934445ee8e688441deb56c13b2c5c3 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 12:11:19 -0400 Subject: [PATCH 167/337] [7/n] Demo for realtime --- examples/realtime/demo.py | 101 +++++++++ examples/realtime/ui.py | 271 +++++++++++++++++++++++++ src/agents/realtime/openai_realtime.py | 4 +- uv.lock | 6 +- 4 files changed, 380 insertions(+), 2 deletions(-) create mode 100644 examples/realtime/demo.py create mode 100644 examples/realtime/ui.py diff --git a/examples/realtime/demo.py b/examples/realtime/demo.py new file mode 100644 index 000000000..a2ea96545 --- /dev/null +++ b/examples/realtime/demo.py @@ -0,0 +1,101 @@ +import asyncio +import os +import sys +from typing import TYPE_CHECKING + +import numpy as np + +# Add the current directory to path so we can import ui +sys.path.append(os.path.dirname(os.path.abspath(__file__))) + +from agents import function_tool +from agents.realtime import RealtimeAgent, RealtimeSession, RealtimeSessionEvent + +if TYPE_CHECKING: + from .ui import AppUI +else: + # Try both import styles + try: + # Try relative import first (when used as a package) + from .ui import AppUI + except ImportError: + # Fall back to direct import (when run as a script) + from ui import AppUI + + +@function_tool +def get_weather(city: str) -> str: + """Get the weather in a city.""" + return f"The weather in {city} is sunny." + + +agent = RealtimeAgent( + name="Assistant", + instructions="You always greet the user with 'Top of the morning to you'.", + tools=[get_weather], +) + + +class Example: + def __init__(self) -> None: + self.session = RealtimeSession(agent) + self.ui = AppUI() + self.ui.connected = asyncio.Event() + self.ui.last_audio_item_id = None + # Set the audio callback + self.ui.set_audio_callback(self.on_audio_recorded) + + async def run(self) -> None: + self.session.add_listener(self.on_event) + await self.session.connect() + self.ui.set_is_connected(True) + await self.ui.run_async() + + async def on_audio_recorded(self, audio_bytes: bytes) -> None: + """Called when audio is recorded by the UI.""" + try: + # Send the audio to the session + await self.session.send_audio(audio_bytes) + except Exception as e: + self.ui.log_message(f"Error sending audio: {e}") + + async def on_event(self, event: RealtimeSessionEvent) -> None: + # Display event in the UI + try: + if event.type == "agent_start": + self.ui.add_transcript(f"Agent started: {event.agent.name}") + elif event.type == "agent_end": + self.ui.add_transcript(f"Agent ended: {event.agent.name}") + elif event.type == "handoff": + self.ui.add_transcript( + f"Handoff from {event.from_agent.name} to {event.to_agent.name}" + ) + elif event.type == "tool_start": + self.ui.add_transcript(f"Tool started: {event.tool.name}") + elif event.type == "tool_end": + self.ui.add_transcript(f"Tool ended: {event.tool.name}; output: {event.output}") + elif event.type == "audio_end": + self.ui.add_transcript("Audio ended") + elif event.type == "audio": + np_audio = np.frombuffer(event.audio.data, dtype=np.int16) + self.ui.play_audio(np_audio) + elif event.type == "audio_interrupted": + self.ui.add_transcript("Audio interrupted") + elif event.type == "error": + self.ui.add_transcript(f"Error: {event.error}") + elif event.type == "history_updated": + pass + elif event.type == "history_added": + pass + elif event.type == "raw_transport_event": + self.ui.log_message(f"Raw transport event: {event.data}") + else: + self.ui.log_message(f"Unknown event type: {event.type}") + except Exception as e: + # This can happen if the UI has already exited + self.ui.log_message(f"Event handling error: {str(e)}") + + +if __name__ == "__main__": + example = Example() + asyncio.run(example.run()) diff --git a/examples/realtime/ui.py b/examples/realtime/ui.py new file mode 100644 index 000000000..1ba055835 --- /dev/null +++ b/examples/realtime/ui.py @@ -0,0 +1,271 @@ +from __future__ import annotations + +import asyncio +from collections.abc import Coroutine +from typing import Any, Callable + +import numpy as np +import numpy.typing as npt +import sounddevice as sd +from textual import events +from textual.app import App, ComposeResult +from textual.containers import Container, Horizontal +from textual.reactive import reactive +from textual.widgets import RichLog, Static +from typing_extensions import override + +CHUNK_LENGTH_S = 0.05 # 50ms +SAMPLE_RATE = 24000 +FORMAT = np.int16 +CHANNELS = 1 + + +class Header(Static): + """A header widget.""" + + @override + def render(self) -> str: + return "Realtime Demo" + + +class AudioStatusIndicator(Static): + """A widget that shows the current audio recording status.""" + + is_recording = reactive(False) + + @override + def render(self) -> str: + status = ( + "🔴 Conversation started." + if self.is_recording + else "⚪ Press SPACE to start the conversation (q to quit)" + ) + return status + + +class AppUI(App[None]): + CSS = """ + Screen { + background: #1a1b26; /* Dark blue-grey background */ + } + + Container { + border: double rgb(91, 164, 91); + } + + #input-container { + height: 5; /* Explicit height for input container */ + margin: 1 1; + padding: 1 2; + } + + #bottom-pane { + width: 100%; + height: 82%; /* Reduced to make room for session display */ + border: round rgb(205, 133, 63); + } + + #status-indicator { + height: 3; + content-align: center middle; + background: #2a2b36; + border: solid rgb(91, 164, 91); + margin: 1 1; + } + + #session-display { + height: 3; + content-align: center middle; + background: #2a2b36; + border: solid rgb(91, 164, 91); + margin: 1 1; + } + + #transcripts { + width: 50%; + height: 100%; + border-right: solid rgb(91, 164, 91); + } + + #transcripts-header { + height: 2; + background: #2a2b36; + content-align: center middle; + border-bottom: solid rgb(91, 164, 91); + } + + #transcripts-content { + height: 100%; + } + + #event-log { + width: 50%; + height: 100%; + } + + #event-log-header { + height: 2; + background: #2a2b36; + content-align: center middle; + border-bottom: solid rgb(91, 164, 91); + } + + #event-log-content { + height: 100%; + } + + Static { + color: white; + } + """ + + should_send_audio: asyncio.Event + connected: asyncio.Event + last_audio_item_id: str | None + audio_callback: Callable[[bytes], Coroutine[Any, Any, None]] | None + + def __init__(self) -> None: + super().__init__() + self.audio_player = sd.OutputStream( + samplerate=SAMPLE_RATE, + channels=CHANNELS, + dtype=FORMAT, + ) + self.should_send_audio = asyncio.Event() + self.connected = asyncio.Event() + self.audio_callback = None + + @override + def compose(self) -> ComposeResult: + """Create child widgets for the app.""" + with Container(): + yield Header(id="session-display") + yield AudioStatusIndicator(id="status-indicator") + with Container(id="bottom-pane"): + with Horizontal(): + with Container(id="transcripts"): + yield Static("Conversation transcript", id="transcripts-header") + yield RichLog( + id="transcripts-content", wrap=True, highlight=True, markup=True + ) + with Container(id="event-log"): + yield Static("Raw event log", id="event-log-header") + yield RichLog( + id="event-log-content", wrap=True, highlight=True, markup=True + ) + + def set_is_connected(self, is_connected: bool) -> None: + self.connected.set() if is_connected else self.connected.clear() + + def set_audio_callback(self, callback: Callable[[bytes], Coroutine[Any, Any, None]]) -> None: + """Set a callback function to be called when audio is recorded.""" + self.audio_callback = callback + + # High-level methods for UI operations + def set_header_text(self, text: str) -> None: + """Update the header text.""" + header = self.query_one("#session-display", Header) + header.update(text) + + def set_recording_status(self, is_recording: bool) -> None: + """Set the recording status indicator.""" + status_indicator = self.query_one(AudioStatusIndicator) + status_indicator.is_recording = is_recording + + def log_message(self, message: str) -> None: + """Add a message to the event log.""" + try: + log_pane = self.query_one("#event-log-content", RichLog) + log_pane.write(message) + except Exception: + # Handle the case where the widget might not be available + pass + + def add_transcript(self, message: str) -> None: + """Add a transcript message to the transcripts panel.""" + try: + transcript_pane = self.query_one("#transcripts-content", RichLog) + transcript_pane.write(message) + except Exception: + # Handle the case where the widget might not be available + pass + + def play_audio(self, audio_data: npt.NDArray[np.int16]) -> None: + """Play audio data through the audio player.""" + try: + self.audio_player.write(audio_data) + except Exception as e: + self.log_message(f"Audio play error: {e}") + + async def on_mount(self) -> None: + """Set up audio player and start the audio capture worker.""" + self.audio_player.start() + self.run_worker(self.capture_audio()) + + async def capture_audio(self) -> None: + """Capture audio from the microphone and send to the session.""" + # Wait for connection to be established + await self.connected.wait() + + # Set up audio input stream + stream = sd.InputStream( + channels=CHANNELS, + samplerate=SAMPLE_RATE, + dtype=FORMAT, + ) + + try: + # Wait for user to press spacebar to start + await self.should_send_audio.wait() + + stream.start() + self.set_recording_status(True) + self.log_message("Recording started - speak to the agent") + + # Buffer size in samples + read_size = int(SAMPLE_RATE * CHUNK_LENGTH_S) + + while True: + # Check if there's enough data to read + if stream.read_available < read_size: + await asyncio.sleep(0.01) # Small sleep to avoid CPU hogging + continue + + # Read audio data + data, _ = stream.read(read_size) + + # Convert numpy array to bytes + audio_bytes = data.tobytes() + + # Call audio callback if set + if self.audio_callback: + try: + await self.audio_callback(audio_bytes) + except Exception as e: + self.log_message(f"Audio callback error: {e}") + + # Yield control back to event loop + await asyncio.sleep(0) + + except Exception as e: + self.log_message(f"Audio capture error: {e}") + finally: + if stream.active: + stream.stop() + stream.close() + + async def on_key(self, event: events.Key) -> None: + """Handle key press events.""" + # add the keypress to the log + self.log_message(f"Key pressed: {event.key}") + + if event.key == "q": + self.audio_player.stop() + self.audio_player.close() + self.exit() + return + + if event.key == "space": # Spacebar + if not self.should_send_audio.is_set(): + self.should_send_audio.set() + self.set_recording_status(True) diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 226eaed7d..6dc34bcf1 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -231,7 +231,9 @@ async def _handle_ws_event(self, event: dict[str, Any]): ).validate_python(event) except Exception as e: logger.error(f"Invalid event: {event} - {e}") - await self._emit_event(RealtimeTransportErrorEvent(error=f"Invalid event: {event}")) + await self._emit_event( + RealtimeTransportErrorEvent(error=f"Invalid event: {event} - {e}") + ) return if parsed.type == "response.audio.delta": diff --git a/uv.lock b/uv.lock index d882c9bc5..880116f58 100644 --- a/uv.lock +++ b/uv.lock @@ -1496,6 +1496,9 @@ dependencies = [ litellm = [ { name = "litellm" }, ] +realtime = [ + { name = "websockets" }, +] viz = [ { name = "graphviz" }, ] @@ -1541,9 +1544,10 @@ requires-dist = [ { name = "requests", specifier = ">=2.0,<3" }, { name = "types-requests", specifier = ">=2.0,<3" }, { name = "typing-extensions", specifier = ">=4.12.2,<5" }, + { name = "websockets", marker = "extra == 'realtime'", specifier = ">=15.0,<16" }, { name = "websockets", marker = "extra == 'voice'", specifier = ">=15.0,<16" }, ] -provides-extras = ["voice", "viz", "litellm"] +provides-extras = ["voice", "viz", "litellm", "realtime"] [package.metadata.requires-dev] dev = [ From 231052d71537688c55690ba9f863569b5427b637 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 12:10:09 -0400 Subject: [PATCH 168/337] [2/n] Introduce RealtimeAgent --- src/agents/realtime/agent.py | 80 ++++++++++++++++++++++++++++++++++++ tests/realtime/test_agent.py | 25 +++++++++++ 2 files changed, 105 insertions(+) create mode 100644 src/agents/realtime/agent.py create mode 100644 tests/realtime/test_agent.py diff --git a/src/agents/realtime/agent.py b/src/agents/realtime/agent.py new file mode 100644 index 000000000..9bbed8cb4 --- /dev/null +++ b/src/agents/realtime/agent.py @@ -0,0 +1,80 @@ +from __future__ import annotations + +import dataclasses +import inspect +from collections.abc import Awaitable +from dataclasses import dataclass +from typing import Any, Callable, Generic, cast + +from ..agent import AgentBase +from ..lifecycle import AgentHooksBase, RunHooksBase +from ..logger import logger +from ..run_context import RunContextWrapper, TContext +from ..util._types import MaybeAwaitable + +RealtimeAgentHooks = AgentHooksBase[TContext, "RealtimeAgent[TContext]"] +"""Agent hooks for `RealtimeAgent`s.""" + +RealtimeRunHooks = RunHooksBase[TContext, "RealtimeAgent[TContext]"] +"""Run hooks for `RealtimeAgent`s.""" + + +@dataclass +class RealtimeAgent(AgentBase, Generic[TContext]): + """A specialized agent instance that is meant to be used within a `RealtimeSession` to build + voice agents. Due to the nature of this agent, some configuration options are not supported + that are supported by regular `Agent` instances. For example: + - `model` choice is not supported, as all RealtimeAgents will be handled by the same model + within a `RealtimeSession`. + - `modelSettings` is not supported, as all RealtimeAgents will be handled by the same model + within a `RealtimeSession`. + - `outputType` is not supported, as RealtimeAgents do not support structured outputs. + - `toolUseBehavior` is not supported, as all RealtimeAgents will be handled by the same model + within a `RealtimeSession`. + - `voice` can be configured on an `Agent` level; however, it cannot be changed after the first + agent within a `RealtimeSession` has spoken. + + See `AgentBase` for base parameters that are shared with `Agent`s. + """ + + instructions: ( + str + | Callable[ + [RunContextWrapper[TContext], RealtimeAgent[TContext]], + MaybeAwaitable[str], + ] + | None + ) = None + """The instructions for the agent. Will be used as the "system prompt" when this agent is + invoked. Describes what the agent should do, and how it responds. + + Can either be a string, or a function that dynamically generates instructions for the agent. If + you provide a function, it will be called with the context and the agent instance. It must + return a string. + """ + + hooks: RealtimeAgentHooks | None = None + """A class that receives callbacks on various lifecycle events for this agent. + """ + + def clone(self, **kwargs: Any) -> RealtimeAgent[TContext]: + """Make a copy of the agent, with the given arguments changed. For example, you could do: + ``` + new_agent = agent.clone(instructions="New instructions") + ``` + """ + return dataclasses.replace(self, **kwargs) + + async def get_system_prompt(self, run_context: RunContextWrapper[TContext]) -> str | None: + """Get the system prompt for the agent.""" + if isinstance(self.instructions, str): + return self.instructions + elif callable(self.instructions): + if inspect.iscoroutinefunction(self.instructions): + return await cast(Awaitable[str], self.instructions(run_context, self)) + else: + return cast(str, self.instructions(run_context, self)) + elif self.instructions is not None: + logger.error(f"Instructions must be a string or a function, got {self.instructions}") + + return None diff --git a/tests/realtime/test_agent.py b/tests/realtime/test_agent.py new file mode 100644 index 000000000..aae8bc47c --- /dev/null +++ b/tests/realtime/test_agent.py @@ -0,0 +1,25 @@ +import pytest + +from agents import RunContextWrapper +from agents.realtime.agent import RealtimeAgent + + +def test_can_initialize_realtime_agent(): + agent = RealtimeAgent(name="test", instructions="Hello") + assert agent.name == "test" + assert agent.instructions == "Hello" + + +@pytest.mark.asyncio +async def test_dynamic_instructions(): + agent = RealtimeAgent(name="test") + assert agent.instructions is None + + def _instructions(ctx, agt) -> str: + assert ctx.context is None + assert agt == agent + return "Dynamic" + + agent = RealtimeAgent(name="test", instructions=_instructions) + instructions = await agent.get_system_prompt(RunContextWrapper(context=None)) + assert instructions == "Dynamic" From 37f57c9d26937a405ffaa7b75c9377f8b125b297 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 12:11:19 -0400 Subject: [PATCH 169/337] [3/n] Config and items for realtime --- src/agents/model_settings.py | 3 +- src/agents/realtime/config.py | 91 +++++++++++++++++++++++++++++++ src/agents/realtime/items.py | 100 ++++++++++++++++++++++++++++++++++ 3 files changed, 193 insertions(+), 1 deletion(-) create mode 100644 src/agents/realtime/config.py create mode 100644 src/agents/realtime/items.py diff --git a/src/agents/model_settings.py b/src/agents/model_settings.py index f81f10989..6f39a968b 100644 --- a/src/agents/model_settings.py +++ b/src/agents/model_settings.py @@ -45,6 +45,7 @@ def validate_from_none(value: None) -> _Omit: Omit = Annotated[_Omit, _OmitTypeAnnotation] Headers: TypeAlias = Mapping[str, Union[str, Omit]] +ToolChoice: TypeAlias = Union[Literal["auto", "required", "none"], str, None] @dataclass @@ -70,7 +71,7 @@ class ModelSettings: presence_penalty: float | None = None """The presence penalty to use when calling the model.""" - tool_choice: Literal["auto", "required", "none"] | str | None = None + tool_choice: ToolChoice | None = None """The tool choice to use when calling the model.""" parallel_tool_calls: bool | None = None diff --git a/src/agents/realtime/config.py b/src/agents/realtime/config.py new file mode 100644 index 000000000..aa15c837d --- /dev/null +++ b/src/agents/realtime/config.py @@ -0,0 +1,91 @@ +from __future__ import annotations + +import inspect +from typing import ( + Any, + Callable, + Literal, + Union, +) + +from typing_extensions import NotRequired, TypeAlias, TypedDict + +from ..model_settings import ToolChoice +from ..tool import FunctionTool +from ..util._types import MaybeAwaitable + + +class RealtimeClientMessage(TypedDict): + type: str # explicitly required + other_data: NotRequired[dict[str, Any]] + + +class UserInputText(TypedDict): + type: Literal["input_text"] + text: str + + +class RealtimeUserInputMessage(TypedDict): + type: Literal["message"] + role: Literal["user"] + content: list[UserInputText] + + +RealtimeUserInput: TypeAlias = Union[str, RealtimeUserInputMessage] + + +RealtimeAudioFormat: TypeAlias = Union[Literal["pcm16", "g711_ulaw", "g711_alaw"], str] + + +class RealtimeInputAudioTranscriptionConfig(TypedDict): + language: NotRequired[str] + model: NotRequired[Literal["gpt-4o-transcribe", "gpt-4o-mini-transcribe", "whisper-1"] | str] + prompt: NotRequired[str] + + +class RealtimeTurnDetectionConfig(TypedDict): + """Turn detection config. Allows extra vendor keys if needed.""" + + type: NotRequired[Literal["semantic_vad", "server_vad"]] + create_response: NotRequired[bool] + eagerness: NotRequired[Literal["auto", "low", "medium", "high"]] + interrupt_response: NotRequired[bool] + prefix_padding_ms: NotRequired[int] + silence_duration_ms: NotRequired[int] + threshold: NotRequired[float] + + +class RealtimeSessionConfig(TypedDict): + api_key: NotRequired[APIKeyOrKeyFunc] + model: NotRequired[str] + instructions: NotRequired[str] + modalities: NotRequired[list[Literal["text", "audio"]]] + voice: NotRequired[str] + + input_audio_format: NotRequired[RealtimeAudioFormat] + output_audio_format: NotRequired[RealtimeAudioFormat] + input_audio_transcription: NotRequired[RealtimeInputAudioTranscriptionConfig] + turn_detection: NotRequired[RealtimeTurnDetectionConfig] + + tool_choice: NotRequired[ToolChoice] + tools: NotRequired[list[FunctionTool]] + + +APIKeyOrKeyFunc = str | Callable[[], MaybeAwaitable[str]] +"""Either an API key or a function that returns an API key.""" + + +async def get_api_key(key: APIKeyOrKeyFunc | None) -> str | None: + """Get the API key from the key or key function.""" + if key is None: + return None + elif isinstance(key, str): + return key + + result = key() + if inspect.isawaitable(result): + return await result + return result + + # TODO (rm) Add tracing support + # tracing: NotRequired[RealtimeTracingConfig | None] diff --git a/src/agents/realtime/items.py b/src/agents/realtime/items.py new file mode 100644 index 000000000..117a35a02 --- /dev/null +++ b/src/agents/realtime/items.py @@ -0,0 +1,100 @@ +from __future__ import annotations + +from typing import Annotated, Literal, Union + +from pydantic import BaseModel, ConfigDict, Field + + +class InputText(BaseModel): + type: Literal["input_text"] = "input_text" + text: str + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class InputAudio(BaseModel): + type: Literal["input_audio"] = "input_audio" + audio: str | None = None + transcript: str | None = None + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class AssistantText(BaseModel): + type: Literal["text"] = "text" + text: str + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class AssistantAudio(BaseModel): + type: Literal["audio"] = "audio" + audio: str | None = None + transcript: str | None = None + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class SystemMessageItem(BaseModel): + item_id: str + previous_item_id: str | None = None + type: Literal["message"] = "message" + role: Literal["system"] = "system" + content: list[InputText] + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class UserMessageItem(BaseModel): + item_id: str + previous_item_id: str | None = None + type: Literal["message"] = "message" + role: Literal["user"] = "user" + content: list[InputText | InputAudio] + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +class AssistantMessageItem(BaseModel): + item_id: str + previous_item_id: str | None = None + type: Literal["message"] = "message" + role: Literal["assistant"] = "assistant" + status: Literal["in_progress", "completed", "incomplete"] | None = None + content: list[AssistantText | AssistantAudio] + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +RealtimeMessageItem = Annotated[ + Union[SystemMessageItem, UserMessageItem, AssistantMessageItem], + Field(discriminator="role"), +] + + +class RealtimeToolCallItem(BaseModel): + item_id: str + previous_item_id: str | None = None + type: Literal["function_call"] = "function_call" + status: Literal["in_progress", "completed"] + arguments: str + name: str + output: str | None = None + + # Allow extra data + model_config = ConfigDict(extra="allow") + + +RealtimeItem = RealtimeMessageItem | RealtimeToolCallItem + + +class RealtimeResponse(BaseModel): + id: str + output: list[RealtimeMessageItem] From 8774a54133cfbffa516df8a4785ff15c41719b98 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 13:09:12 -0400 Subject: [PATCH 170/337] [4/n] Transport interface + events --- src/agents/realtime/transport.py | 107 +++++++++++++++++ src/agents/realtime/transport_events.py | 148 ++++++++++++++++++++++++ tests/realtime/test_transport_events.py | 12 ++ 3 files changed, 267 insertions(+) create mode 100644 src/agents/realtime/transport.py create mode 100644 src/agents/realtime/transport_events.py create mode 100644 tests/realtime/test_transport_events.py diff --git a/src/agents/realtime/transport.py b/src/agents/realtime/transport.py new file mode 100644 index 000000000..18290d128 --- /dev/null +++ b/src/agents/realtime/transport.py @@ -0,0 +1,107 @@ +import abc +from typing import Any, Literal, Union + +from typing_extensions import NotRequired, TypeAlias, TypedDict + +from .config import APIKeyOrKeyFunc, RealtimeClientMessage, RealtimeSessionConfig, RealtimeUserInput +from .transport_events import RealtimeTransportEvent, RealtimeTransportToolCallEvent + +RealtimeModelName: TypeAlias = Union[ + Literal[ + "gpt-4o-realtime-preview", + "gpt-4o-mini-realtime-preview", + "gpt-4o-realtime-preview-2025-06-03", + "gpt-4o-realtime-preview-2024-12-17", + "gpt-4o-realtime-preview-2024-10-01", + "gpt-4o-mini-realtime-preview-2024-12-17", + ], + str, +] +"""The name of a realtime model.""" + + +class RealtimeTransportListener(abc.ABC): + """A listener for realtime transport events.""" + + @abc.abstractmethod + async def on_event(self, event: RealtimeTransportEvent) -> None: + """Called when an event is emitted by the realtime transport.""" + pass + + +class RealtimeTransportConnectionOptions(TypedDict): + """Options for connecting to a realtime transport.""" + + api_key: NotRequired[APIKeyOrKeyFunc] + """The API key to use for the transport. If unset, the transport will attempt to use the + `OPENAI_API_KEY` environment variable. + """ + + model: NotRequired[str] + """The model to use.""" + + url: NotRequired[str] + """The URL to use for the transport. If unset, the transport will use the default OpenAI + WebSocket URL. + """ + + initial_session_config: NotRequired[RealtimeSessionConfig] + + +class RealtimeSessionTransport(abc.ABC): + """A transport layer for realtime sessions.""" + + @abc.abstractmethod + async def connect(self, options: RealtimeTransportConnectionOptions) -> None: + """Establish a connection to the model and keep it alive.""" + pass + + @abc.abstractmethod + def add_listener(self, listener: RealtimeTransportListener) -> None: + """Add a listener to the transport.""" + pass + + @abc.abstractmethod + async def remove_listener(self, listener: RealtimeTransportListener) -> None: + """Remove a listener from the transport.""" + pass + + @abc.abstractmethod + async def send_event(self, event: RealtimeClientMessage) -> None: + """Send an event to the model.""" + pass + + @abc.abstractmethod + async def send_message( + self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None + ) -> None: + """Send a message to the model.""" + pass + + @abc.abstractmethod + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Send a raw audio chunk to the model. + + Args: + audio: The audio data to send. + commit: Whether to commit the audio buffer to the model. If the model does not do turn + detection, this can be used to indicate the turn is completed. + """ + pass + + @abc.abstractmethod + async def send_tool_output( + self, tool_call: RealtimeTransportToolCallEvent, output: str, start_response: bool + ) -> None: + """Send tool output to the model.""" + pass + + @abc.abstractmethod + async def interrupt(self) -> None: + """Interrupt the model. For example, could be triggered by a guardrail.""" + pass + + @abc.abstractmethod + async def close(self) -> None: + """Close the session.""" + pass diff --git a/src/agents/realtime/transport_events.py b/src/agents/realtime/transport_events.py new file mode 100644 index 000000000..596065654 --- /dev/null +++ b/src/agents/realtime/transport_events.py @@ -0,0 +1,148 @@ +from __future__ import annotations + +from dataclasses import dataclass +from typing import Any, Literal, TypeAlias, Union + +from .items import RealtimeItem + +RealtimeConnectionStatus: TypeAlias = Literal["connecting", "connected", "disconnected"] + + +@dataclass +class RealtimeTransportErrorEvent: + """Represents a transport‑layer error.""" + + error: Any + + type: Literal["error"] = "error" + + +@dataclass +class RealtimeTransportToolCallEvent: + """Model attempted a tool/function call.""" + + name: str + call_id: str + arguments: str + + id: str | None = None + previous_item_id: str | None = None + + type: Literal["function_call"] = "function_call" + + +@dataclass +class RealtimeTransportAudioEvent: + """Raw audio bytes emitted by the model.""" + + data: bytes + response_id: str + + type: Literal["audio"] = "audio" + + +@dataclass +class RealtimeTransportAudioInterruptedEvent: + """Audio interrupted.""" + + type: Literal["audio_interrupted"] = "audio_interrupted" + + +@dataclass +class RealtimeTransportAudioDoneEvent: + """Audio done.""" + + type: Literal["audio_done"] = "audio_done" + + +@dataclass +class RealtimeTransportInputAudioTranscriptionCompletedEvent: + """Input audio transcription completed.""" + + item_id: str + transcript: str + + type: Literal["conversation.item.input_audio_transcription.completed"] = ( + "conversation.item.input_audio_transcription.completed" + ) + + +@dataclass +class RealtimeTransportTranscriptDelta: + """Partial transcript update.""" + + item_id: str + delta: str + response_id: str + + type: Literal["transcript_delta"] = "transcript_delta" + + +@dataclass +class RealtimeTransportItemUpdatedEvent: + """Item added to the history or updated.""" + + item: RealtimeItem + + type: Literal["item_updated"] = "item_updated" + + +@dataclass +class RealtimeTransportItemDeletedEvent: + """Item deleted from the history.""" + + item_id: str + + type: Literal["item_deleted"] = "item_deleted" + + +@dataclass +class RealtimeTransportConnectionStatusEvent: + """Connection status changed.""" + + status: RealtimeConnectionStatus + + type: Literal["connection_status"] = "connection_status" + + +@dataclass +class RealtimeTransportTurnStartedEvent: + """Triggered when the model starts generating a response for a turn.""" + + type: Literal["turn_started"] = "turn_started" + + +@dataclass +class RealtimeTransportTurnEndedEvent: + """Triggered when the model finishes generating a response for a turn.""" + + type: Literal["turn_ended"] = "turn_ended" + + +@dataclass +class RealtimeTransportOtherEvent: + """Used as a catchall for vendor-specific events.""" + + data: Any + + type: Literal["other"] = "other" + + +# TODO (rm) Add usage events + + +RealtimeTransportEvent: TypeAlias = Union[ + RealtimeTransportErrorEvent, + RealtimeTransportToolCallEvent, + RealtimeTransportAudioEvent, + RealtimeTransportAudioInterruptedEvent, + RealtimeTransportAudioDoneEvent, + RealtimeTransportInputAudioTranscriptionCompletedEvent, + RealtimeTransportTranscriptDelta, + RealtimeTransportItemUpdatedEvent, + RealtimeTransportItemDeletedEvent, + RealtimeTransportConnectionStatusEvent, + RealtimeTransportTurnStartedEvent, + RealtimeTransportTurnEndedEvent, + RealtimeTransportOtherEvent, +] diff --git a/tests/realtime/test_transport_events.py b/tests/realtime/test_transport_events.py new file mode 100644 index 000000000..2219303d0 --- /dev/null +++ b/tests/realtime/test_transport_events.py @@ -0,0 +1,12 @@ +from typing import get_args + +from agents.realtime.transport_events import RealtimeTransportEvent + + +def test_all_events_have_type() -> None: + """Test that all events have a type.""" + events = get_args(RealtimeTransportEvent) + assert len(events) > 0 + for event in events: + assert event.type is not None + assert isinstance(event.type, str) From 9904b085fa8a54cdd61b0eec7a0959e011118099 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 13:09:12 -0400 Subject: [PATCH 171/337] [5/n] OpenAI realtime transport impl --- pyproject.toml | 1 + src/agents/realtime/openai_realtime.py | 353 +++++++++++++++++++++++++ 2 files changed, 354 insertions(+) create mode 100644 src/agents/realtime/openai_realtime.py diff --git a/pyproject.toml b/pyproject.toml index e659348ca..44bc45947 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -37,6 +37,7 @@ Repository = "https://github.com/openai/openai-agents-python" voice = ["numpy>=2.2.0, <3; python_version>='3.10'", "websockets>=15.0, <16"] viz = ["graphviz>=0.17"] litellm = ["litellm>=1.67.4.post1, <2"] +realtime = ["websockets>=15.0, <16"] [dependency-groups] dev = [ diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py new file mode 100644 index 000000000..226eaed7d --- /dev/null +++ b/src/agents/realtime/openai_realtime.py @@ -0,0 +1,353 @@ +import asyncio +import base64 +import json +import os +from datetime import datetime +from typing import Any + +import websockets +from openai.types.beta.realtime.realtime_server_event import ( + RealtimeServerEvent as OpenAIRealtimeServerEvent, +) +from pydantic import TypeAdapter +from websockets.asyncio.client import ClientConnection + +from ..exceptions import UserError +from ..logger import logger +from .config import RealtimeClientMessage, RealtimeUserInput, get_api_key +from .items import RealtimeMessageItem, RealtimeToolCallItem +from .transport import ( + RealtimeSessionTransport, + RealtimeTransportConnectionOptions, + RealtimeTransportListener, +) +from .transport_events import ( + RealtimeTransportAudioDoneEvent, + RealtimeTransportAudioEvent, + RealtimeTransportAudioInterruptedEvent, + RealtimeTransportErrorEvent, + RealtimeTransportEvent, + RealtimeTransportInputAudioTranscriptionCompletedEvent, + RealtimeTransportItemDeletedEvent, + RealtimeTransportItemUpdatedEvent, + RealtimeTransportToolCallEvent, + RealtimeTransportTranscriptDelta, + RealtimeTransportTurnEndedEvent, + RealtimeTransportTurnStartedEvent, +) + + +class OpenAIRealtimeWebSocketTransport(RealtimeSessionTransport): + """A transport layer for realtime sessions that uses OpenAI's WebSocket API.""" + + def __init__(self) -> None: + self.model = "gpt-4o-realtime-preview" # Default model + self._websocket: ClientConnection | None = None + self._websocket_task: asyncio.Task[None] | None = None + self._listeners: list[RealtimeTransportListener] = [] + self._current_item_id: str | None = None + self._audio_start_time: datetime | None = None + self._audio_length_ms: float = 0.0 + self._ongoing_response: bool = False + self._current_audio_content_index: int | None = None + + async def connect(self, options: RealtimeTransportConnectionOptions) -> None: + """Establish a connection to the model and keep it alive.""" + assert self._websocket is None, "Already connected" + assert self._websocket_task is None, "Already connected" + + self.model = options.get("model", self.model) + api_key = await get_api_key(options.get("api_key", os.getenv("OPENAI_API_KEY"))) + + if not api_key: + raise UserError("API key is required but was not provided.") + + url = options.get("url", f"wss://api.openai.com/v1/realtime?model={self.model}") + + headers = { + "Authorization": f"Bearer {api_key}", + "OpenAI-Beta": "realtime=v1", + } + self._websocket = await websockets.connect(url, additional_headers=headers) + self._websocket_task = asyncio.create_task(self._listen_for_messages()) + + def add_listener(self, listener: RealtimeTransportListener) -> None: + """Add a listener to the transport.""" + self._listeners.append(listener) + + async def remove_listener(self, listener: RealtimeTransportListener) -> None: + """Remove a listener from the transport.""" + self._listeners.remove(listener) + + async def _emit_event(self, event: RealtimeTransportEvent) -> None: + """Emit an event to the listeners.""" + for listener in self._listeners: + await listener.on_event(event) + + async def _listen_for_messages(self): + assert self._websocket is not None, "Not connected" + + try: + async for message in self._websocket: + parsed = json.loads(message) + await self._handle_ws_event(parsed) + + except websockets.exceptions.ConnectionClosed: + # TODO connection closed handling (event, cleanup) + logger.warning("WebSocket connection closed") + except Exception as e: + logger.error(f"WebSocket error: {e}") + + async def send_event(self, event: RealtimeClientMessage) -> None: + """Send an event to the model.""" + assert self._websocket is not None, "Not connected" + converted_event = { + "type": event["type"], + } + + converted_event.update(event.get("other_data", {})) + + await self._websocket.send(json.dumps(converted_event)) + + async def send_message( + self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None + ) -> None: + """Send a message to the model.""" + message = ( + message + if isinstance(message, dict) + else { + "type": "message", + "role": "user", + "content": [{"type": "input_text", "text": message}], + } + ) + other_data = { + "item": message, + } + if other_event_data: + other_data.update(other_event_data) + + await self.send_event({"type": "conversation.item.create", "other_data": other_data}) + + await self.send_event({"type": "response.create"}) + + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Send a raw audio chunk to the model. + + Args: + audio: The audio data to send. + commit: Whether to commit the audio buffer to the model. If the model does not do turn + detection, this can be used to indicate the turn is completed. + """ + assert self._websocket is not None, "Not connected" + base64_audio = base64.b64encode(audio).decode("utf-8") + await self.send_event( + { + "type": "input_audio_buffer.append", + "other_data": { + "audio": base64_audio, + }, + } + ) + if commit: + await self.send_event({"type": "input_audio_buffer.commit"}) + + async def send_tool_output( + self, tool_call: RealtimeTransportToolCallEvent, output: str, start_response: bool + ) -> None: + """Send tool output to the model.""" + await self.send_event( + { + "type": "conversation.item.create", + "other_data": { + "item": { + "type": "function_call_output", + "output": output, + "call_id": tool_call.id, + }, + }, + } + ) + + tool_item = RealtimeToolCallItem( + item_id=tool_call.id or "", + previous_item_id=tool_call.previous_item_id, + type="function_call", + status="completed", + arguments=tool_call.arguments, + name=tool_call.name, + output=output, + ) + await self._emit_event(RealtimeTransportItemUpdatedEvent(item=tool_item)) + + if start_response: + await self.send_event({"type": "response.create"}) + + async def interrupt(self) -> None: + """Interrupt the model.""" + if not self._current_item_id or not self._audio_start_time: + return + + await self._cancel_response() + + elapsed_time_ms = (datetime.now() - self._audio_start_time).total_seconds() * 1000 + if elapsed_time_ms > 0 and elapsed_time_ms < self._audio_length_ms: + await self._emit_event(RealtimeTransportAudioInterruptedEvent()) + await self.send_event( + { + "type": "conversation.item.truncate", + "other_data": { + "item_id": self._current_item_id, + "content_index": self._current_audio_content_index, + "audio_end_ms": elapsed_time_ms, + }, + } + ) + + self._current_item_id = None + self._audio_start_time = None + self._audio_length_ms = 0.0 + self._current_audio_content_index = None + + async def close(self) -> None: + """Close the session.""" + if self._websocket: + await self._websocket.close() + self._websocket = None + if self._websocket_task: + self._websocket_task.cancel() + self._websocket_task = None + + async def _cancel_response(self) -> None: + if self._ongoing_response: + await self.send_event({"type": "response.cancel"}) + self._ongoing_response = False + + async def _handle_ws_event(self, event: dict[str, Any]): + try: + parsed: OpenAIRealtimeServerEvent = TypeAdapter( + OpenAIRealtimeServerEvent + ).validate_python(event) + except Exception as e: + logger.error(f"Invalid event: {event} - {e}") + await self._emit_event(RealtimeTransportErrorEvent(error=f"Invalid event: {event}")) + return + + if parsed.type == "response.audio.delta": + self._current_audio_content_index = parsed.content_index + self._current_item_id = parsed.item_id + if self._audio_start_time is None: + self._audio_start_time = datetime.now() + self._audio_length_ms = 0.0 + + audio_bytes = base64.b64decode(parsed.delta) + # Calculate audio length in ms using 24KHz pcm16le + self._audio_length_ms += len(audio_bytes) / 24 / 2 + await self._emit_event( + RealtimeTransportAudioEvent(data=audio_bytes, response_id=parsed.response_id) + ) + elif parsed.type == "response.audio.done": + await self._emit_event(RealtimeTransportAudioDoneEvent()) + elif parsed.type == "input_audio_buffer.speech_started": + await self.interrupt() + elif parsed.type == "response.created": + self._ongoing_response = True + await self._emit_event(RealtimeTransportTurnStartedEvent()) + elif parsed.type == "response.done": + self._ongoing_response = False + await self._emit_event(RealtimeTransportTurnEndedEvent()) + elif parsed.type == "session.created": + # TODO (rm) tracing stuff here + pass + elif parsed.type == "error": + await self._emit_event(RealtimeTransportErrorEvent(error=parsed.error)) + elif parsed.type == "conversation.item.deleted": + await self._emit_event(RealtimeTransportItemDeletedEvent(item_id=parsed.item_id)) + elif ( + parsed.type == "conversation.item.created" + or parsed.type == "conversation.item.retrieved" + ): + item = parsed.item + previous_item_id = ( + parsed.previous_item_id if parsed.type == "conversation.item.created" else None + ) + message_item: RealtimeMessageItem = TypeAdapter(RealtimeMessageItem).validate_python( + { + "item_id": item.id or "", + "previous_item_id": previous_item_id, + "type": item.type, + "role": item.role, + "content": item.content, + "status": "in_progress", + } + ) + await self._emit_event(RealtimeTransportItemUpdatedEvent(item=message_item)) + elif ( + parsed.type == "conversation.item.input_audio_transcription.completed" + or parsed.type == "conversation.item.truncated" + ): + await self.send_event( + { + "type": "conversation.item.retrieve", + "other_data": { + "item_id": self._current_item_id, + }, + } + ) + if parsed.type == "conversation.item.input_audio_transcription.completed": + await self._emit_event( + RealtimeTransportInputAudioTranscriptionCompletedEvent( + item_id=parsed.item_id, transcript=parsed.transcript + ) + ) + elif parsed.type == "response.audio_transcript.delta": + await self._emit_event( + RealtimeTransportTranscriptDelta( + item_id=parsed.item_id, delta=parsed.delta, response_id=parsed.response_id + ) + ) + elif ( + parsed.type == "conversation.item.input_audio_transcription.delta" + or parsed.type == "response.text.delta" + or parsed.type == "response.function_call_arguments.delta" + ): + # No support for partials yet + pass + elif ( + parsed.type == "response.output_item.added" + or parsed.type == "response.output_item.done" + ): + item = parsed.item + if item.type == "function_call" and item.status == "completed": + tool_call = RealtimeToolCallItem( + item_id=item.id or "", + previous_item_id=None, + type="function_call", + # We use the same item for tool call and output, so it will be completed by the + # output being added + status="in_progress", + arguments=item.arguments or "", + name=item.name or "", + output=None, + ) + await self._emit_event(RealtimeTransportItemUpdatedEvent(item=tool_call)) + await self._emit_event( + RealtimeTransportToolCallEvent( + call_id=item.id or "", + name=item.name or "", + arguments=item.arguments or "", + id=item.id or "", + ) + ) + elif item.type == "message": + message_item = TypeAdapter(RealtimeMessageItem).validate_python( + { + "item_id": item.id or "", + "type": item.type, + "role": item.role, + "content": item.content, + "status": "in_progress", + } + ) + await self._emit_event(RealtimeTransportItemUpdatedEvent(item=message_item)) From be15cc1729c8771d9c61c3066cc7fc2e57d13fc6 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 13:09:12 -0400 Subject: [PATCH 172/337] [6/n] RealtimeSession + events --- src/agents/realtime/README.md | 3 + src/agents/realtime/__init__.py | 51 +++++ src/agents/realtime/events.py | 198 +++++++++++++++++ src/agents/realtime/session.py | 369 ++++++++++++++++++++++++++++++++ tests/realtime/__init__.py | 0 5 files changed, 621 insertions(+) create mode 100644 src/agents/realtime/README.md create mode 100644 src/agents/realtime/__init__.py create mode 100644 src/agents/realtime/events.py create mode 100644 src/agents/realtime/session.py create mode 100644 tests/realtime/__init__.py diff --git a/src/agents/realtime/README.md b/src/agents/realtime/README.md new file mode 100644 index 000000000..9acc23160 --- /dev/null +++ b/src/agents/realtime/README.md @@ -0,0 +1,3 @@ +# Realtime + +Realtime agents are in beta: expect some breaking changes over the next few weeks as we find issues and fix them. diff --git a/src/agents/realtime/__init__.py b/src/agents/realtime/__init__.py new file mode 100644 index 000000000..7e5d4932a --- /dev/null +++ b/src/agents/realtime/__init__.py @@ -0,0 +1,51 @@ +from .agent import RealtimeAgent, RealtimeAgentHooks, RealtimeRunHooks +from .config import APIKeyOrKeyFunc +from .events import ( + RealtimeAgentEndEvent, + RealtimeAgentStartEvent, + RealtimeAudio, + RealtimeAudioEnd, + RealtimeAudioInterrupted, + RealtimeError, + RealtimeHandoffEvent, + RealtimeHistoryAdded, + RealtimeHistoryUpdated, + RealtimeRawTransportEvent, + RealtimeSessionEvent, + RealtimeToolEnd, + RealtimeToolStart, +) +from .session import RealtimeSession +from .transport import ( + RealtimeModelName, + RealtimeSessionTransport, + RealtimeTransportConnectionOptions, + RealtimeTransportListener, +) + +__all__ = [ + "RealtimeAgent", + "RealtimeAgentHooks", + "RealtimeRunHooks", + "RealtimeSession", + "RealtimeSessionListener", + "RealtimeSessionListenerFunc", + "APIKeyOrKeyFunc", + "RealtimeModelName", + "RealtimeSessionTransport", + "RealtimeTransportListener", + "RealtimeTransportConnectionOptions", + "RealtimeSessionEvent", + "RealtimeAgentStartEvent", + "RealtimeAgentEndEvent", + "RealtimeHandoffEvent", + "RealtimeToolStart", + "RealtimeToolEnd", + "RealtimeRawTransportEvent", + "RealtimeAudioEnd", + "RealtimeAudio", + "RealtimeAudioInterrupted", + "RealtimeError", + "RealtimeHistoryUpdated", + "RealtimeHistoryAdded", +] diff --git a/src/agents/realtime/events.py b/src/agents/realtime/events.py new file mode 100644 index 000000000..bd6b7b5b0 --- /dev/null +++ b/src/agents/realtime/events.py @@ -0,0 +1,198 @@ +from dataclasses import dataclass +from typing import Any, Literal, Union + +from typing_extensions import TypeAlias + +from ..run_context import RunContextWrapper +from ..tool import Tool +from .agent import RealtimeAgent +from .items import RealtimeItem +from .transport_events import RealtimeTransportAudioEvent, RealtimeTransportEvent + + +@dataclass +class RealtimeEventInfo: + context: RunContextWrapper + """The context for the event.""" + + +@dataclass +class RealtimeAgentStartEvent: + """A new agent has started.""" + + agent: RealtimeAgent + """The new agent.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["agent_start"] = "agent_start" + + +@dataclass +class RealtimeAgentEndEvent: + """An agent has ended.""" + + agent: RealtimeAgent + """The agent that ended.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["agent_end"] = "agent_end" + + +@dataclass +class RealtimeHandoffEvent: + """An agent has handed off to another agent.""" + + from_agent: RealtimeAgent + """The agent that handed off.""" + + to_agent: RealtimeAgent + """The agent that was handed off to.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["handoff"] = "handoff" + + +@dataclass +class RealtimeToolStart: + """An agent is starting a tool call.""" + + agent: RealtimeAgent + """The agent that updated.""" + + tool: Tool + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["tool_start"] = "tool_start" + + +@dataclass +class RealtimeToolEnd: + """An agent has ended a tool call.""" + + agent: RealtimeAgent + """The agent that ended the tool call.""" + + tool: Tool + """The tool that was called.""" + + output: Any + """The output of the tool call.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["tool_end"] = "tool_end" + + +@dataclass +class RealtimeRawTransportEvent: + """Forwards raw events from the transport layer.""" + + data: RealtimeTransportEvent + """The raw data from the transport layer.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["raw_transport_event"] = "raw_transport_event" + + +@dataclass +class RealtimeAudioEnd: + """Triggered when the agent stops generating audio.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["audio_end"] = "audio_end" + + +@dataclass +class RealtimeAudio: + """Triggered when the agent generates new audio to be played.""" + + audio: RealtimeTransportAudioEvent + """The audio event from the transport layer.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["audio"] = "audio" + + +@dataclass +class RealtimeAudioInterrupted: + """Triggered when the agent is interrupted. Can be listened to by the user to stop audio + playback or give visual indicators to the user. + """ + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["audio_interrupted"] = "audio_interrupted" + + +@dataclass +class RealtimeError: + """An error has occurred.""" + + error: Any + """The error that occurred.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["error"] = "error" + + +@dataclass +class RealtimeHistoryUpdated: + """The history has been updated. Contains the full history of the session.""" + + history: list[RealtimeItem] + """The full history of the session.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["history_updated"] = "history_updated" + + +@dataclass +class RealtimeHistoryAdded: + """A new item has been added to the history.""" + + item: RealtimeItem + """The new item that was added to the history.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["history_added"] = "history_added" + + +# TODO (rm) Add guardrails + +RealtimeSessionEvent: TypeAlias = Union[ + RealtimeAgentStartEvent, + RealtimeAgentEndEvent, + RealtimeHandoffEvent, + RealtimeToolStart, + RealtimeToolEnd, + RealtimeRawTransportEvent, + RealtimeAudioEnd, + RealtimeAudio, + RealtimeAudioInterrupted, + RealtimeError, + RealtimeHistoryUpdated, + RealtimeHistoryAdded, +] +"""An event emitted by the realtime session.""" diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py new file mode 100644 index 000000000..fd2a0a3ff --- /dev/null +++ b/src/agents/realtime/session.py @@ -0,0 +1,369 @@ +"""Minimal realtime session implementation for voice agents.""" + +from __future__ import annotations + +import abc +import asyncio +from collections.abc import Awaitable +from typing import Any, Callable, Literal + +from typing_extensions import TypeAlias, assert_never + +from ..handoffs import Handoff +from ..run_context import RunContextWrapper +from ..tool import FunctionTool +from ..tool_context import ToolContext +from .agent import RealtimeAgent +from .config import APIKeyOrKeyFunc, RealtimeSessionConfig, RealtimeUserInput +from .events import ( + RealtimeAgentEndEvent, + RealtimeAgentStartEvent, + RealtimeAudio, + RealtimeAudioEnd, + RealtimeAudioInterrupted, + RealtimeError, + RealtimeEventInfo, + RealtimeHandoffEvent, # noqa: F401 + RealtimeHistoryAdded, + RealtimeHistoryUpdated, + RealtimeRawTransportEvent, + RealtimeSessionEvent, + RealtimeToolEnd, + RealtimeToolStart, +) +from .items import InputAudio, InputText, RealtimeItem +from .openai_realtime import OpenAIRealtimeWebSocketTransport +from .transport import ( + RealtimeModelName, + RealtimeSessionTransport, + RealtimeTransportConnectionOptions, + RealtimeTransportListener, +) +from .transport_events import ( + RealtimeTransportEvent, + RealtimeTransportInputAudioTranscriptionCompletedEvent, + RealtimeTransportToolCallEvent, +) + + +class RealtimeSessionListener(abc.ABC): + """A listener for realtime session events.""" + + @abc.abstractmethod + async def on_event(self, event: RealtimeSessionEvent) -> None: + """Called when an event is emitted by the realtime session.""" + pass + + +RealtimeSessionListenerFunc: TypeAlias = Callable[[RealtimeSessionEvent], Awaitable[None]] +"""A function that can be used as a listener for realtime session events.""" + + +class _RealtimeFuncListener(RealtimeSessionListener): + """A listener that wraps a function.""" + + def __init__(self, func: RealtimeSessionListenerFunc) -> None: + self._func = func + + async def on_event(self, event: RealtimeSessionEvent) -> None: + """Call the wrapped function with the event.""" + await self._func(event) + + +class RealtimeSession(RealtimeTransportListener): + """A `RealtimeSession` is the equivalent of `Runner` for realtime agents. It automatically + handles multiple turns by maintaining a persistent connection with the underlying transport + layer. + + The session manages the local history copy, executes tools, runs guardrails and facilitates + handoffs between agents. + + Since this code runs on your server, it uses WebSockets by default. You can optionally create + your own custom transport layer by implementing the `RealtimeSessionTransport` interface. + """ + + def __init__( + self, + starting_agent: RealtimeAgent, + *, + context: Any | None = None, + transport: Literal["websocket"] | RealtimeSessionTransport = "websocket", + api_key: APIKeyOrKeyFunc | None = None, + model: RealtimeModelName | None = None, + config: RealtimeSessionConfig | None = None, + # TODO (rm) Add guardrail support + # TODO (rm) Add tracing support + # TODO (rm) Add history audio storage config + ) -> None: + """Initialize the realtime session. + + Args: + starting_agent: The agent to start the session with. + context: The context to use for the session. + transport: The transport to use for the session. Defaults to using websockets. + api_key: The API key to use for the session. + model: The model to use. Must be a realtime model. + config: Override parameters to use. + """ + self._current_agent = starting_agent + self._context_wrapper = RunContextWrapper(context) + self._event_info = RealtimeEventInfo(context=self._context_wrapper) + self._override_config = config + self._history: list[RealtimeItem] = [] + self._model = model + self._api_key = api_key + + self._listeners: list[RealtimeSessionListener] = [] + + if transport == "websocket": + self._transport: RealtimeSessionTransport = OpenAIRealtimeWebSocketTransport() + else: + self._transport = transport + + async def __aenter__(self) -> RealtimeSession: + """Async context manager entry.""" + await self.connect() + return self + + async def __aexit__(self, _exc_type: Any, _exc_val: Any, _exc_tb: Any) -> None: + """Async context manager exit.""" + await self.end() + + async def connect(self) -> None: + """Start the session: connect to the model and start the connection.""" + self._transport.add_listener(self) + + config = await self.create_session_config( + overrides=self._override_config, + ) + + options: RealtimeTransportConnectionOptions = { + "initial_session_config": config, + } + + if config.get("api_key") is not None: + options["api_key"] = config["api_key"] + elif self._api_key is not None: + options["api_key"] = self._api_key + + if config.get("model") is not None: + options["model"] = config["model"] + elif self._model is not None: + options["model"] = self._model + + await self._transport.connect(options) + + await self._emit_event( + RealtimeHistoryUpdated( + history=self._history, + info=self._event_info, + ) + ) + + async def end(self) -> None: + """End the session: disconnect from the model and close the connection.""" + pass + + def add_listener(self, listener: RealtimeSessionListener | RealtimeSessionListenerFunc) -> None: + """Add a listener to the session.""" + if isinstance(listener, RealtimeSessionListener): + self._listeners.append(listener) + else: + self._listeners.append(_RealtimeFuncListener(listener)) + + def remove_listener( + self, listener: RealtimeSessionListener | RealtimeSessionListenerFunc + ) -> None: + """Remove a listener from the session.""" + if isinstance(listener, RealtimeSessionListener): + self._listeners.remove(listener) + else: + for x in self._listeners: + if isinstance(x, _RealtimeFuncListener) and x._func == listener: + self._listeners.remove(x) + break + + async def create_session_config( + self, overrides: RealtimeSessionConfig | None = None + ) -> RealtimeSessionConfig: + """Create the session config.""" + agent = self._current_agent + instructions, tools = await asyncio.gather( + agent.get_system_prompt(self._context_wrapper), + agent.get_all_tools(self._context_wrapper), + ) + config = RealtimeSessionConfig() + + if self._model is not None: + config["model"] = self._model + if instructions is not None: + config["instructions"] = instructions + if tools is not None: + config["tools"] = [tool for tool in tools if isinstance(tool, FunctionTool)] + + if overrides: + config.update(overrides) + + return config + + async def send_message(self, message: RealtimeUserInput) -> None: + """Send a message to the model.""" + await self._transport.send_message(message) + + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Send a raw audio chunk to the model.""" + await self._transport.send_audio(audio, commit=commit) + + async def interrupt(self) -> None: + """Interrupt the model.""" + await self._transport.interrupt() + + async def on_event(self, event: RealtimeTransportEvent) -> None: + """Called when an event is emitted by the realtime transport.""" + await self._emit_event(RealtimeRawTransportEvent(data=event, info=self._event_info)) + + if event.type == "error": + await self._emit_event(RealtimeError(info=self._event_info, error=event.error)) + elif event.type == "function_call": + await self._handle_tool_call(event) + elif event.type == "audio": + await self._emit_event(RealtimeAudio(info=self._event_info, audio=event)) + elif event.type == "audio_interrupted": + await self._emit_event(RealtimeAudioInterrupted(info=self._event_info)) + elif event.type == "audio_done": + await self._emit_event(RealtimeAudioEnd(info=self._event_info)) + elif event.type == "conversation.item.input_audio_transcription.completed": + self._history = self._get_new_history(self._history, event) + await self._emit_event( + RealtimeHistoryUpdated(info=self._event_info, history=self._history) + ) + elif event.type == "transcript_delta": + # TODO (rm) Add guardrails + pass + elif event.type == "item_updated": + is_new = any(item.item_id == event.item.item_id for item in self._history) + self._history = self._get_new_history(self._history, event.item) + if is_new: + new_item = next( + item for item in self._history if item.item_id == event.item.item_id + ) + await self._emit_event(RealtimeHistoryAdded(info=self._event_info, item=new_item)) + else: + await self._emit_event( + RealtimeHistoryUpdated(info=self._event_info, history=self._history) + ) + pass + elif event.type == "item_deleted": + deleted_id = event.item_id + self._history = [item for item in self._history if item.item_id != deleted_id] + await self._emit_event( + RealtimeHistoryUpdated(info=self._event_info, history=self._history) + ) + elif event.type == "connection_status": + pass + elif event.type == "turn_started": + await self._emit_event( + RealtimeAgentStartEvent( + agent=self._current_agent, + info=self._event_info, + ) + ) + elif event.type == "turn_ended": + await self._emit_event( + RealtimeAgentEndEvent( + agent=self._current_agent, + info=self._event_info, + ) + ) + elif event.type == "other": + pass + else: + assert_never(event) + + async def _emit_event(self, event: RealtimeSessionEvent) -> None: + """Emit an event to the listeners.""" + await asyncio.gather(*[listener.on_event(event) for listener in self._listeners]) + + async def _handle_tool_call(self, event: RealtimeTransportToolCallEvent) -> None: + all_tools = await self._current_agent.get_all_tools(self._context_wrapper) + function_map = {tool.name: tool for tool in all_tools if isinstance(tool, FunctionTool)} + handoff_map = {tool.name: tool for tool in all_tools if isinstance(tool, Handoff)} + + if event.name in function_map: + await self._emit_event( + RealtimeToolStart( + info=self._event_info, + tool=function_map[event.name], + agent=self._current_agent, + ) + ) + + func_tool = function_map[event.name] + tool_context = ToolContext.from_agent_context(self._context_wrapper, event.call_id) + result = await func_tool.on_invoke_tool(tool_context, event.arguments) + + await self._transport.send_tool_output(event, str(result), True) + + await self._emit_event( + RealtimeToolEnd( + info=self._event_info, + tool=func_tool, + output=result, + agent=self._current_agent, + ) + ) + elif event.name in handoff_map: + # TODO (rm) Add support for handoffs + pass + else: + # TODO (rm) Add error handling + pass + + def _get_new_history( + self, + old_history: list[RealtimeItem], + event: RealtimeTransportInputAudioTranscriptionCompletedEvent | RealtimeItem, + ) -> list[RealtimeItem]: + # Merge transcript into placeholder input_audio message. + if isinstance(event, RealtimeTransportInputAudioTranscriptionCompletedEvent): + new_history: list[RealtimeItem] = [] + for item in old_history: + if item.item_id == event.item_id and item.type == "message" and item.role == "user": + content: list[InputText | InputAudio] = [] + for entry in item.content: + if entry.type == "input_audio": + copied_entry = entry.model_copy(update={"transcript": event.transcript}) + content.append(copied_entry) + else: + content.append(entry) # type: ignore + new_history.append( + item.model_copy(update={"content": content, "status": "completed"}) + ) + else: + new_history.append(item) + return new_history + + # Otherwise it's just a new item + # TODO (rm) Add support for audio storage config + + # If the item already exists, update it + existing_index = next( + (i for i, item in enumerate(old_history) if item.item_id == event.item_id), None + ) + if existing_index is not None: + new_history = old_history.copy() + new_history[existing_index] = event + return new_history + # Otherwise, insert it after the previous_item_id if that is set + elif item.previous_item_id: + # Insert the new item after the previous item + previous_index = next( + (i for i, item in enumerate(old_history) if item.item_id == event.previous_item_id), + None, + ) + if previous_index is not None: + new_history = old_history.copy() + new_history.insert(previous_index + 1, event) + return new_history + # Otherwise, add it to the end + return old_history + [event] diff --git a/tests/realtime/__init__.py b/tests/realtime/__init__.py new file mode 100644 index 000000000..e69de29bb From ec15a8c690903e84f03cb6b5852476929e74b00c Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 13:09:12 -0400 Subject: [PATCH 173/337] [7/n] Demo for realtime --- examples/realtime/demo.py | 101 +++++++++ examples/realtime/ui.py | 271 +++++++++++++++++++++++++ src/agents/realtime/openai_realtime.py | 4 +- uv.lock | 6 +- 4 files changed, 380 insertions(+), 2 deletions(-) create mode 100644 examples/realtime/demo.py create mode 100644 examples/realtime/ui.py diff --git a/examples/realtime/demo.py b/examples/realtime/demo.py new file mode 100644 index 000000000..a2ea96545 --- /dev/null +++ b/examples/realtime/demo.py @@ -0,0 +1,101 @@ +import asyncio +import os +import sys +from typing import TYPE_CHECKING + +import numpy as np + +# Add the current directory to path so we can import ui +sys.path.append(os.path.dirname(os.path.abspath(__file__))) + +from agents import function_tool +from agents.realtime import RealtimeAgent, RealtimeSession, RealtimeSessionEvent + +if TYPE_CHECKING: + from .ui import AppUI +else: + # Try both import styles + try: + # Try relative import first (when used as a package) + from .ui import AppUI + except ImportError: + # Fall back to direct import (when run as a script) + from ui import AppUI + + +@function_tool +def get_weather(city: str) -> str: + """Get the weather in a city.""" + return f"The weather in {city} is sunny." + + +agent = RealtimeAgent( + name="Assistant", + instructions="You always greet the user with 'Top of the morning to you'.", + tools=[get_weather], +) + + +class Example: + def __init__(self) -> None: + self.session = RealtimeSession(agent) + self.ui = AppUI() + self.ui.connected = asyncio.Event() + self.ui.last_audio_item_id = None + # Set the audio callback + self.ui.set_audio_callback(self.on_audio_recorded) + + async def run(self) -> None: + self.session.add_listener(self.on_event) + await self.session.connect() + self.ui.set_is_connected(True) + await self.ui.run_async() + + async def on_audio_recorded(self, audio_bytes: bytes) -> None: + """Called when audio is recorded by the UI.""" + try: + # Send the audio to the session + await self.session.send_audio(audio_bytes) + except Exception as e: + self.ui.log_message(f"Error sending audio: {e}") + + async def on_event(self, event: RealtimeSessionEvent) -> None: + # Display event in the UI + try: + if event.type == "agent_start": + self.ui.add_transcript(f"Agent started: {event.agent.name}") + elif event.type == "agent_end": + self.ui.add_transcript(f"Agent ended: {event.agent.name}") + elif event.type == "handoff": + self.ui.add_transcript( + f"Handoff from {event.from_agent.name} to {event.to_agent.name}" + ) + elif event.type == "tool_start": + self.ui.add_transcript(f"Tool started: {event.tool.name}") + elif event.type == "tool_end": + self.ui.add_transcript(f"Tool ended: {event.tool.name}; output: {event.output}") + elif event.type == "audio_end": + self.ui.add_transcript("Audio ended") + elif event.type == "audio": + np_audio = np.frombuffer(event.audio.data, dtype=np.int16) + self.ui.play_audio(np_audio) + elif event.type == "audio_interrupted": + self.ui.add_transcript("Audio interrupted") + elif event.type == "error": + self.ui.add_transcript(f"Error: {event.error}") + elif event.type == "history_updated": + pass + elif event.type == "history_added": + pass + elif event.type == "raw_transport_event": + self.ui.log_message(f"Raw transport event: {event.data}") + else: + self.ui.log_message(f"Unknown event type: {event.type}") + except Exception as e: + # This can happen if the UI has already exited + self.ui.log_message(f"Event handling error: {str(e)}") + + +if __name__ == "__main__": + example = Example() + asyncio.run(example.run()) diff --git a/examples/realtime/ui.py b/examples/realtime/ui.py new file mode 100644 index 000000000..1ba055835 --- /dev/null +++ b/examples/realtime/ui.py @@ -0,0 +1,271 @@ +from __future__ import annotations + +import asyncio +from collections.abc import Coroutine +from typing import Any, Callable + +import numpy as np +import numpy.typing as npt +import sounddevice as sd +from textual import events +from textual.app import App, ComposeResult +from textual.containers import Container, Horizontal +from textual.reactive import reactive +from textual.widgets import RichLog, Static +from typing_extensions import override + +CHUNK_LENGTH_S = 0.05 # 50ms +SAMPLE_RATE = 24000 +FORMAT = np.int16 +CHANNELS = 1 + + +class Header(Static): + """A header widget.""" + + @override + def render(self) -> str: + return "Realtime Demo" + + +class AudioStatusIndicator(Static): + """A widget that shows the current audio recording status.""" + + is_recording = reactive(False) + + @override + def render(self) -> str: + status = ( + "🔴 Conversation started." + if self.is_recording + else "⚪ Press SPACE to start the conversation (q to quit)" + ) + return status + + +class AppUI(App[None]): + CSS = """ + Screen { + background: #1a1b26; /* Dark blue-grey background */ + } + + Container { + border: double rgb(91, 164, 91); + } + + #input-container { + height: 5; /* Explicit height for input container */ + margin: 1 1; + padding: 1 2; + } + + #bottom-pane { + width: 100%; + height: 82%; /* Reduced to make room for session display */ + border: round rgb(205, 133, 63); + } + + #status-indicator { + height: 3; + content-align: center middle; + background: #2a2b36; + border: solid rgb(91, 164, 91); + margin: 1 1; + } + + #session-display { + height: 3; + content-align: center middle; + background: #2a2b36; + border: solid rgb(91, 164, 91); + margin: 1 1; + } + + #transcripts { + width: 50%; + height: 100%; + border-right: solid rgb(91, 164, 91); + } + + #transcripts-header { + height: 2; + background: #2a2b36; + content-align: center middle; + border-bottom: solid rgb(91, 164, 91); + } + + #transcripts-content { + height: 100%; + } + + #event-log { + width: 50%; + height: 100%; + } + + #event-log-header { + height: 2; + background: #2a2b36; + content-align: center middle; + border-bottom: solid rgb(91, 164, 91); + } + + #event-log-content { + height: 100%; + } + + Static { + color: white; + } + """ + + should_send_audio: asyncio.Event + connected: asyncio.Event + last_audio_item_id: str | None + audio_callback: Callable[[bytes], Coroutine[Any, Any, None]] | None + + def __init__(self) -> None: + super().__init__() + self.audio_player = sd.OutputStream( + samplerate=SAMPLE_RATE, + channels=CHANNELS, + dtype=FORMAT, + ) + self.should_send_audio = asyncio.Event() + self.connected = asyncio.Event() + self.audio_callback = None + + @override + def compose(self) -> ComposeResult: + """Create child widgets for the app.""" + with Container(): + yield Header(id="session-display") + yield AudioStatusIndicator(id="status-indicator") + with Container(id="bottom-pane"): + with Horizontal(): + with Container(id="transcripts"): + yield Static("Conversation transcript", id="transcripts-header") + yield RichLog( + id="transcripts-content", wrap=True, highlight=True, markup=True + ) + with Container(id="event-log"): + yield Static("Raw event log", id="event-log-header") + yield RichLog( + id="event-log-content", wrap=True, highlight=True, markup=True + ) + + def set_is_connected(self, is_connected: bool) -> None: + self.connected.set() if is_connected else self.connected.clear() + + def set_audio_callback(self, callback: Callable[[bytes], Coroutine[Any, Any, None]]) -> None: + """Set a callback function to be called when audio is recorded.""" + self.audio_callback = callback + + # High-level methods for UI operations + def set_header_text(self, text: str) -> None: + """Update the header text.""" + header = self.query_one("#session-display", Header) + header.update(text) + + def set_recording_status(self, is_recording: bool) -> None: + """Set the recording status indicator.""" + status_indicator = self.query_one(AudioStatusIndicator) + status_indicator.is_recording = is_recording + + def log_message(self, message: str) -> None: + """Add a message to the event log.""" + try: + log_pane = self.query_one("#event-log-content", RichLog) + log_pane.write(message) + except Exception: + # Handle the case where the widget might not be available + pass + + def add_transcript(self, message: str) -> None: + """Add a transcript message to the transcripts panel.""" + try: + transcript_pane = self.query_one("#transcripts-content", RichLog) + transcript_pane.write(message) + except Exception: + # Handle the case where the widget might not be available + pass + + def play_audio(self, audio_data: npt.NDArray[np.int16]) -> None: + """Play audio data through the audio player.""" + try: + self.audio_player.write(audio_data) + except Exception as e: + self.log_message(f"Audio play error: {e}") + + async def on_mount(self) -> None: + """Set up audio player and start the audio capture worker.""" + self.audio_player.start() + self.run_worker(self.capture_audio()) + + async def capture_audio(self) -> None: + """Capture audio from the microphone and send to the session.""" + # Wait for connection to be established + await self.connected.wait() + + # Set up audio input stream + stream = sd.InputStream( + channels=CHANNELS, + samplerate=SAMPLE_RATE, + dtype=FORMAT, + ) + + try: + # Wait for user to press spacebar to start + await self.should_send_audio.wait() + + stream.start() + self.set_recording_status(True) + self.log_message("Recording started - speak to the agent") + + # Buffer size in samples + read_size = int(SAMPLE_RATE * CHUNK_LENGTH_S) + + while True: + # Check if there's enough data to read + if stream.read_available < read_size: + await asyncio.sleep(0.01) # Small sleep to avoid CPU hogging + continue + + # Read audio data + data, _ = stream.read(read_size) + + # Convert numpy array to bytes + audio_bytes = data.tobytes() + + # Call audio callback if set + if self.audio_callback: + try: + await self.audio_callback(audio_bytes) + except Exception as e: + self.log_message(f"Audio callback error: {e}") + + # Yield control back to event loop + await asyncio.sleep(0) + + except Exception as e: + self.log_message(f"Audio capture error: {e}") + finally: + if stream.active: + stream.stop() + stream.close() + + async def on_key(self, event: events.Key) -> None: + """Handle key press events.""" + # add the keypress to the log + self.log_message(f"Key pressed: {event.key}") + + if event.key == "q": + self.audio_player.stop() + self.audio_player.close() + self.exit() + return + + if event.key == "space": # Spacebar + if not self.should_send_audio.is_set(): + self.should_send_audio.set() + self.set_recording_status(True) diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 226eaed7d..6dc34bcf1 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -231,7 +231,9 @@ async def _handle_ws_event(self, event: dict[str, Any]): ).validate_python(event) except Exception as e: logger.error(f"Invalid event: {event} - {e}") - await self._emit_event(RealtimeTransportErrorEvent(error=f"Invalid event: {event}")) + await self._emit_event( + RealtimeTransportErrorEvent(error=f"Invalid event: {event} - {e}") + ) return if parsed.type == "response.audio.delta": diff --git a/uv.lock b/uv.lock index d882c9bc5..880116f58 100644 --- a/uv.lock +++ b/uv.lock @@ -1496,6 +1496,9 @@ dependencies = [ litellm = [ { name = "litellm" }, ] +realtime = [ + { name = "websockets" }, +] viz = [ { name = "graphviz" }, ] @@ -1541,9 +1544,10 @@ requires-dist = [ { name = "requests", specifier = ">=2.0,<3" }, { name = "types-requests", specifier = ">=2.0,<3" }, { name = "typing-extensions", specifier = ">=4.12.2,<5" }, + { name = "websockets", marker = "extra == 'realtime'", specifier = ">=15.0,<16" }, { name = "websockets", marker = "extra == 'voice'", specifier = ">=15.0,<16" }, ] -provides-extras = ["voice", "viz", "litellm"] +provides-extras = ["voice", "viz", "litellm", "realtime"] [package.metadata.requires-dev] dev = [ From 085f1326bfc249a6cd7f7e3848886ada73de56e7 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 13:09:12 -0400 Subject: [PATCH 174/337] [4/n] Transport interface + events --- src/agents/realtime/transport.py | 107 +++++++++++++++++ src/agents/realtime/transport_events.py | 150 ++++++++++++++++++++++++ tests/realtime/test_transport_events.py | 12 ++ 3 files changed, 269 insertions(+) create mode 100644 src/agents/realtime/transport.py create mode 100644 src/agents/realtime/transport_events.py create mode 100644 tests/realtime/test_transport_events.py diff --git a/src/agents/realtime/transport.py b/src/agents/realtime/transport.py new file mode 100644 index 000000000..18290d128 --- /dev/null +++ b/src/agents/realtime/transport.py @@ -0,0 +1,107 @@ +import abc +from typing import Any, Literal, Union + +from typing_extensions import NotRequired, TypeAlias, TypedDict + +from .config import APIKeyOrKeyFunc, RealtimeClientMessage, RealtimeSessionConfig, RealtimeUserInput +from .transport_events import RealtimeTransportEvent, RealtimeTransportToolCallEvent + +RealtimeModelName: TypeAlias = Union[ + Literal[ + "gpt-4o-realtime-preview", + "gpt-4o-mini-realtime-preview", + "gpt-4o-realtime-preview-2025-06-03", + "gpt-4o-realtime-preview-2024-12-17", + "gpt-4o-realtime-preview-2024-10-01", + "gpt-4o-mini-realtime-preview-2024-12-17", + ], + str, +] +"""The name of a realtime model.""" + + +class RealtimeTransportListener(abc.ABC): + """A listener for realtime transport events.""" + + @abc.abstractmethod + async def on_event(self, event: RealtimeTransportEvent) -> None: + """Called when an event is emitted by the realtime transport.""" + pass + + +class RealtimeTransportConnectionOptions(TypedDict): + """Options for connecting to a realtime transport.""" + + api_key: NotRequired[APIKeyOrKeyFunc] + """The API key to use for the transport. If unset, the transport will attempt to use the + `OPENAI_API_KEY` environment variable. + """ + + model: NotRequired[str] + """The model to use.""" + + url: NotRequired[str] + """The URL to use for the transport. If unset, the transport will use the default OpenAI + WebSocket URL. + """ + + initial_session_config: NotRequired[RealtimeSessionConfig] + + +class RealtimeSessionTransport(abc.ABC): + """A transport layer for realtime sessions.""" + + @abc.abstractmethod + async def connect(self, options: RealtimeTransportConnectionOptions) -> None: + """Establish a connection to the model and keep it alive.""" + pass + + @abc.abstractmethod + def add_listener(self, listener: RealtimeTransportListener) -> None: + """Add a listener to the transport.""" + pass + + @abc.abstractmethod + async def remove_listener(self, listener: RealtimeTransportListener) -> None: + """Remove a listener from the transport.""" + pass + + @abc.abstractmethod + async def send_event(self, event: RealtimeClientMessage) -> None: + """Send an event to the model.""" + pass + + @abc.abstractmethod + async def send_message( + self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None + ) -> None: + """Send a message to the model.""" + pass + + @abc.abstractmethod + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Send a raw audio chunk to the model. + + Args: + audio: The audio data to send. + commit: Whether to commit the audio buffer to the model. If the model does not do turn + detection, this can be used to indicate the turn is completed. + """ + pass + + @abc.abstractmethod + async def send_tool_output( + self, tool_call: RealtimeTransportToolCallEvent, output: str, start_response: bool + ) -> None: + """Send tool output to the model.""" + pass + + @abc.abstractmethod + async def interrupt(self) -> None: + """Interrupt the model. For example, could be triggered by a guardrail.""" + pass + + @abc.abstractmethod + async def close(self) -> None: + """Close the session.""" + pass diff --git a/src/agents/realtime/transport_events.py b/src/agents/realtime/transport_events.py new file mode 100644 index 000000000..735577b17 --- /dev/null +++ b/src/agents/realtime/transport_events.py @@ -0,0 +1,150 @@ +from __future__ import annotations + +from dataclasses import dataclass +from typing import Any, Literal, Union + +from typing_extensions import TypeAlias + +from .items import RealtimeItem + +RealtimeConnectionStatus: TypeAlias = Literal["connecting", "connected", "disconnected"] + + +@dataclass +class RealtimeTransportErrorEvent: + """Represents a transport‑layer error.""" + + error: Any + + type: Literal["error"] = "error" + + +@dataclass +class RealtimeTransportToolCallEvent: + """Model attempted a tool/function call.""" + + name: str + call_id: str + arguments: str + + id: str | None = None + previous_item_id: str | None = None + + type: Literal["function_call"] = "function_call" + + +@dataclass +class RealtimeTransportAudioEvent: + """Raw audio bytes emitted by the model.""" + + data: bytes + response_id: str + + type: Literal["audio"] = "audio" + + +@dataclass +class RealtimeTransportAudioInterruptedEvent: + """Audio interrupted.""" + + type: Literal["audio_interrupted"] = "audio_interrupted" + + +@dataclass +class RealtimeTransportAudioDoneEvent: + """Audio done.""" + + type: Literal["audio_done"] = "audio_done" + + +@dataclass +class RealtimeTransportInputAudioTranscriptionCompletedEvent: + """Input audio transcription completed.""" + + item_id: str + transcript: str + + type: Literal["conversation.item.input_audio_transcription.completed"] = ( + "conversation.item.input_audio_transcription.completed" + ) + + +@dataclass +class RealtimeTransportTranscriptDelta: + """Partial transcript update.""" + + item_id: str + delta: str + response_id: str + + type: Literal["transcript_delta"] = "transcript_delta" + + +@dataclass +class RealtimeTransportItemUpdatedEvent: + """Item added to the history or updated.""" + + item: RealtimeItem + + type: Literal["item_updated"] = "item_updated" + + +@dataclass +class RealtimeTransportItemDeletedEvent: + """Item deleted from the history.""" + + item_id: str + + type: Literal["item_deleted"] = "item_deleted" + + +@dataclass +class RealtimeTransportConnectionStatusEvent: + """Connection status changed.""" + + status: RealtimeConnectionStatus + + type: Literal["connection_status"] = "connection_status" + + +@dataclass +class RealtimeTransportTurnStartedEvent: + """Triggered when the model starts generating a response for a turn.""" + + type: Literal["turn_started"] = "turn_started" + + +@dataclass +class RealtimeTransportTurnEndedEvent: + """Triggered when the model finishes generating a response for a turn.""" + + type: Literal["turn_ended"] = "turn_ended" + + +@dataclass +class RealtimeTransportOtherEvent: + """Used as a catchall for vendor-specific events.""" + + data: Any + + type: Literal["other"] = "other" + + +# TODO (rm) Add usage events + + +RealtimeTransportEvent: TypeAlias = Union[ + RealtimeTransportErrorEvent, + RealtimeTransportToolCallEvent, + RealtimeTransportAudioEvent, + RealtimeTransportAudioInterruptedEvent, + RealtimeTransportAudioDoneEvent, + RealtimeTransportInputAudioTranscriptionCompletedEvent, + RealtimeTransportTranscriptDelta, + RealtimeTransportItemUpdatedEvent, + RealtimeTransportItemDeletedEvent, + RealtimeTransportConnectionStatusEvent, + RealtimeTransportTurnStartedEvent, + RealtimeTransportTurnEndedEvent, + RealtimeTransportOtherEvent, +] diff --git a/tests/realtime/test_transport_events.py b/tests/realtime/test_transport_events.py new file mode 100644 index 000000000..2219303d0 --- /dev/null +++ b/tests/realtime/test_transport_events.py @@ -0,0 +1,12 @@ +from typing import get_args + +from agents.realtime.transport_events import RealtimeTransportEvent + + +def test_all_events_have_type() -> None: + """Test that all events have a type.""" + events = get_args(RealtimeTransportEvent) + assert len(events) > 0 + for event in events: + assert event.type is not None + assert isinstance(event.type, str) From 572eb7dff42fc7ff7d99f56a246aa96e5cb12b8a Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 13:09:12 -0400 Subject: [PATCH 175/337] [5/n] OpenAI realtime transport impl --- pyproject.toml | 1 + src/agents/realtime/openai_realtime.py | 353 +++++++++++++++++++++++++ 2 files changed, 354 insertions(+) create mode 100644 src/agents/realtime/openai_realtime.py diff --git a/pyproject.toml b/pyproject.toml index e659348ca..44bc45947 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -37,6 +37,7 @@ Repository = "https://github.com/openai/openai-agents-python" voice = ["numpy>=2.2.0, <3; python_version>='3.10'", "websockets>=15.0, <16"] viz = ["graphviz>=0.17"] litellm = ["litellm>=1.67.4.post1, <2"] +realtime = ["websockets>=15.0, <16"] [dependency-groups] dev = [ diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py new file mode 100644 index 000000000..226eaed7d --- /dev/null +++ b/src/agents/realtime/openai_realtime.py @@ -0,0 +1,353 @@ +import asyncio +import base64 +import json +import os +from datetime import datetime +from typing import Any + +import websockets +from openai.types.beta.realtime.realtime_server_event import ( + RealtimeServerEvent as OpenAIRealtimeServerEvent, +) +from pydantic import TypeAdapter +from websockets.asyncio.client import ClientConnection + +from ..exceptions import UserError +from ..logger import logger +from .config import RealtimeClientMessage, RealtimeUserInput, get_api_key +from .items import RealtimeMessageItem, RealtimeToolCallItem +from .transport import ( + RealtimeSessionTransport, + RealtimeTransportConnectionOptions, + RealtimeTransportListener, +) +from .transport_events import ( + RealtimeTransportAudioDoneEvent, + RealtimeTransportAudioEvent, + RealtimeTransportAudioInterruptedEvent, + RealtimeTransportErrorEvent, + RealtimeTransportEvent, + RealtimeTransportInputAudioTranscriptionCompletedEvent, + RealtimeTransportItemDeletedEvent, + RealtimeTransportItemUpdatedEvent, + RealtimeTransportToolCallEvent, + RealtimeTransportTranscriptDelta, + RealtimeTransportTurnEndedEvent, + RealtimeTransportTurnStartedEvent, +) + + +class OpenAIRealtimeWebSocketTransport(RealtimeSessionTransport): + """A transport layer for realtime sessions that uses OpenAI's WebSocket API.""" + + def __init__(self) -> None: + self.model = "gpt-4o-realtime-preview" # Default model + self._websocket: ClientConnection | None = None + self._websocket_task: asyncio.Task[None] | None = None + self._listeners: list[RealtimeTransportListener] = [] + self._current_item_id: str | None = None + self._audio_start_time: datetime | None = None + self._audio_length_ms: float = 0.0 + self._ongoing_response: bool = False + self._current_audio_content_index: int | None = None + + async def connect(self, options: RealtimeTransportConnectionOptions) -> None: + """Establish a connection to the model and keep it alive.""" + assert self._websocket is None, "Already connected" + assert self._websocket_task is None, "Already connected" + + self.model = options.get("model", self.model) + api_key = await get_api_key(options.get("api_key", os.getenv("OPENAI_API_KEY"))) + + if not api_key: + raise UserError("API key is required but was not provided.") + + url = options.get("url", f"wss://api.openai.com/v1/realtime?model={self.model}") + + headers = { + "Authorization": f"Bearer {api_key}", + "OpenAI-Beta": "realtime=v1", + } + self._websocket = await websockets.connect(url, additional_headers=headers) + self._websocket_task = asyncio.create_task(self._listen_for_messages()) + + def add_listener(self, listener: RealtimeTransportListener) -> None: + """Add a listener to the transport.""" + self._listeners.append(listener) + + async def remove_listener(self, listener: RealtimeTransportListener) -> None: + """Remove a listener from the transport.""" + self._listeners.remove(listener) + + async def _emit_event(self, event: RealtimeTransportEvent) -> None: + """Emit an event to the listeners.""" + for listener in self._listeners: + await listener.on_event(event) + + async def _listen_for_messages(self): + assert self._websocket is not None, "Not connected" + + try: + async for message in self._websocket: + parsed = json.loads(message) + await self._handle_ws_event(parsed) + + except websockets.exceptions.ConnectionClosed: + # TODO connection closed handling (event, cleanup) + logger.warning("WebSocket connection closed") + except Exception as e: + logger.error(f"WebSocket error: {e}") + + async def send_event(self, event: RealtimeClientMessage) -> None: + """Send an event to the model.""" + assert self._websocket is not None, "Not connected" + converted_event = { + "type": event["type"], + } + + converted_event.update(event.get("other_data", {})) + + await self._websocket.send(json.dumps(converted_event)) + + async def send_message( + self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None + ) -> None: + """Send a message to the model.""" + message = ( + message + if isinstance(message, dict) + else { + "type": "message", + "role": "user", + "content": [{"type": "input_text", "text": message}], + } + ) + other_data = { + "item": message, + } + if other_event_data: + other_data.update(other_event_data) + + await self.send_event({"type": "conversation.item.create", "other_data": other_data}) + + await self.send_event({"type": "response.create"}) + + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Send a raw audio chunk to the model. + + Args: + audio: The audio data to send. + commit: Whether to commit the audio buffer to the model. If the model does not do turn + detection, this can be used to indicate the turn is completed. + """ + assert self._websocket is not None, "Not connected" + base64_audio = base64.b64encode(audio).decode("utf-8") + await self.send_event( + { + "type": "input_audio_buffer.append", + "other_data": { + "audio": base64_audio, + }, + } + ) + if commit: + await self.send_event({"type": "input_audio_buffer.commit"}) + + async def send_tool_output( + self, tool_call: RealtimeTransportToolCallEvent, output: str, start_response: bool + ) -> None: + """Send tool output to the model.""" + await self.send_event( + { + "type": "conversation.item.create", + "other_data": { + "item": { + "type": "function_call_output", + "output": output, + "call_id": tool_call.id, + }, + }, + } + ) + + tool_item = RealtimeToolCallItem( + item_id=tool_call.id or "", + previous_item_id=tool_call.previous_item_id, + type="function_call", + status="completed", + arguments=tool_call.arguments, + name=tool_call.name, + output=output, + ) + await self._emit_event(RealtimeTransportItemUpdatedEvent(item=tool_item)) + + if start_response: + await self.send_event({"type": "response.create"}) + + async def interrupt(self) -> None: + """Interrupt the model.""" + if not self._current_item_id or not self._audio_start_time: + return + + await self._cancel_response() + + elapsed_time_ms = (datetime.now() - self._audio_start_time).total_seconds() * 1000 + if elapsed_time_ms > 0 and elapsed_time_ms < self._audio_length_ms: + await self._emit_event(RealtimeTransportAudioInterruptedEvent()) + await self.send_event( + { + "type": "conversation.item.truncate", + "other_data": { + "item_id": self._current_item_id, + "content_index": self._current_audio_content_index, + "audio_end_ms": elapsed_time_ms, + }, + } + ) + + self._current_item_id = None + self._audio_start_time = None + self._audio_length_ms = 0.0 + self._current_audio_content_index = None + + async def close(self) -> None: + """Close the session.""" + if self._websocket: + await self._websocket.close() + self._websocket = None + if self._websocket_task: + self._websocket_task.cancel() + self._websocket_task = None + + async def _cancel_response(self) -> None: + if self._ongoing_response: + await self.send_event({"type": "response.cancel"}) + self._ongoing_response = False + + async def _handle_ws_event(self, event: dict[str, Any]): + try: + parsed: OpenAIRealtimeServerEvent = TypeAdapter( + OpenAIRealtimeServerEvent + ).validate_python(event) + except Exception as e: + logger.error(f"Invalid event: {event} - {e}") + await self._emit_event(RealtimeTransportErrorEvent(error=f"Invalid event: {event}")) + return + + if parsed.type == "response.audio.delta": + self._current_audio_content_index = parsed.content_index + self._current_item_id = parsed.item_id + if self._audio_start_time is None: + self._audio_start_time = datetime.now() + self._audio_length_ms = 0.0 + + audio_bytes = base64.b64decode(parsed.delta) + # Calculate audio length in ms using 24KHz pcm16le + self._audio_length_ms += len(audio_bytes) / 24 / 2 + await self._emit_event( + RealtimeTransportAudioEvent(data=audio_bytes, response_id=parsed.response_id) + ) + elif parsed.type == "response.audio.done": + await self._emit_event(RealtimeTransportAudioDoneEvent()) + elif parsed.type == "input_audio_buffer.speech_started": + await self.interrupt() + elif parsed.type == "response.created": + self._ongoing_response = True + await self._emit_event(RealtimeTransportTurnStartedEvent()) + elif parsed.type == "response.done": + self._ongoing_response = False + await self._emit_event(RealtimeTransportTurnEndedEvent()) + elif parsed.type == "session.created": + # TODO (rm) tracing stuff here + pass + elif parsed.type == "error": + await self._emit_event(RealtimeTransportErrorEvent(error=parsed.error)) + elif parsed.type == "conversation.item.deleted": + await self._emit_event(RealtimeTransportItemDeletedEvent(item_id=parsed.item_id)) + elif ( + parsed.type == "conversation.item.created" + or parsed.type == "conversation.item.retrieved" + ): + item = parsed.item + previous_item_id = ( + parsed.previous_item_id if parsed.type == "conversation.item.created" else None + ) + message_item: RealtimeMessageItem = TypeAdapter(RealtimeMessageItem).validate_python( + { + "item_id": item.id or "", + "previous_item_id": previous_item_id, + "type": item.type, + "role": item.role, + "content": item.content, + "status": "in_progress", + } + ) + await self._emit_event(RealtimeTransportItemUpdatedEvent(item=message_item)) + elif ( + parsed.type == "conversation.item.input_audio_transcription.completed" + or parsed.type == "conversation.item.truncated" + ): + await self.send_event( + { + "type": "conversation.item.retrieve", + "other_data": { + "item_id": self._current_item_id, + }, + } + ) + if parsed.type == "conversation.item.input_audio_transcription.completed": + await self._emit_event( + RealtimeTransportInputAudioTranscriptionCompletedEvent( + item_id=parsed.item_id, transcript=parsed.transcript + ) + ) + elif parsed.type == "response.audio_transcript.delta": + await self._emit_event( + RealtimeTransportTranscriptDelta( + item_id=parsed.item_id, delta=parsed.delta, response_id=parsed.response_id + ) + ) + elif ( + parsed.type == "conversation.item.input_audio_transcription.delta" + or parsed.type == "response.text.delta" + or parsed.type == "response.function_call_arguments.delta" + ): + # No support for partials yet + pass + elif ( + parsed.type == "response.output_item.added" + or parsed.type == "response.output_item.done" + ): + item = parsed.item + if item.type == "function_call" and item.status == "completed": + tool_call = RealtimeToolCallItem( + item_id=item.id or "", + previous_item_id=None, + type="function_call", + # We use the same item for tool call and output, so it will be completed by the + # output being added + status="in_progress", + arguments=item.arguments or "", + name=item.name or "", + output=None, + ) + await self._emit_event(RealtimeTransportItemUpdatedEvent(item=tool_call)) + await self._emit_event( + RealtimeTransportToolCallEvent( + call_id=item.id or "", + name=item.name or "", + arguments=item.arguments or "", + id=item.id or "", + ) + ) + elif item.type == "message": + message_item = TypeAdapter(RealtimeMessageItem).validate_python( + { + "item_id": item.id or "", + "type": item.type, + "role": item.role, + "content": item.content, + "status": "in_progress", + } + ) + await self._emit_event(RealtimeTransportItemUpdatedEvent(item=message_item)) From dab3b384154123d66b98c17f21957c3f98441dc3 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 13:09:12 -0400 Subject: [PATCH 176/337] [6/n] RealtimeSession + events --- src/agents/realtime/README.md | 3 + src/agents/realtime/__init__.py | 51 +++++ src/agents/realtime/events.py | 198 +++++++++++++++++ src/agents/realtime/session.py | 369 ++++++++++++++++++++++++++++++++ tests/realtime/__init__.py | 0 5 files changed, 621 insertions(+) create mode 100644 src/agents/realtime/README.md create mode 100644 src/agents/realtime/__init__.py create mode 100644 src/agents/realtime/events.py create mode 100644 src/agents/realtime/session.py create mode 100644 tests/realtime/__init__.py diff --git a/src/agents/realtime/README.md b/src/agents/realtime/README.md new file mode 100644 index 000000000..9acc23160 --- /dev/null +++ b/src/agents/realtime/README.md @@ -0,0 +1,3 @@ +# Realtime + +Realtime agents are in beta: expect some breaking changes over the next few weeks as we find issues and fix them. diff --git a/src/agents/realtime/__init__.py b/src/agents/realtime/__init__.py new file mode 100644 index 000000000..7e5d4932a --- /dev/null +++ b/src/agents/realtime/__init__.py @@ -0,0 +1,51 @@ +from .agent import RealtimeAgent, RealtimeAgentHooks, RealtimeRunHooks +from .config import APIKeyOrKeyFunc +from .events import ( + RealtimeAgentEndEvent, + RealtimeAgentStartEvent, + RealtimeAudio, + RealtimeAudioEnd, + RealtimeAudioInterrupted, + RealtimeError, + RealtimeHandoffEvent, + RealtimeHistoryAdded, + RealtimeHistoryUpdated, + RealtimeRawTransportEvent, + RealtimeSessionEvent, + RealtimeToolEnd, + RealtimeToolStart, +) +from .session import RealtimeSession +from .transport import ( + RealtimeModelName, + RealtimeSessionTransport, + RealtimeTransportConnectionOptions, + RealtimeTransportListener, +) + +__all__ = [ + "RealtimeAgent", + "RealtimeAgentHooks", + "RealtimeRunHooks", + "RealtimeSession", + "RealtimeSessionListener", + "RealtimeSessionListenerFunc", + "APIKeyOrKeyFunc", + "RealtimeModelName", + "RealtimeSessionTransport", + "RealtimeTransportListener", + "RealtimeTransportConnectionOptions", + "RealtimeSessionEvent", + "RealtimeAgentStartEvent", + "RealtimeAgentEndEvent", + "RealtimeHandoffEvent", + "RealtimeToolStart", + "RealtimeToolEnd", + "RealtimeRawTransportEvent", + "RealtimeAudioEnd", + "RealtimeAudio", + "RealtimeAudioInterrupted", + "RealtimeError", + "RealtimeHistoryUpdated", + "RealtimeHistoryAdded", +] diff --git a/src/agents/realtime/events.py b/src/agents/realtime/events.py new file mode 100644 index 000000000..bd6b7b5b0 --- /dev/null +++ b/src/agents/realtime/events.py @@ -0,0 +1,198 @@ +from dataclasses import dataclass +from typing import Any, Literal, Union + +from typing_extensions import TypeAlias + +from ..run_context import RunContextWrapper +from ..tool import Tool +from .agent import RealtimeAgent +from .items import RealtimeItem +from .transport_events import RealtimeTransportAudioEvent, RealtimeTransportEvent + + +@dataclass +class RealtimeEventInfo: + context: RunContextWrapper + """The context for the event.""" + + +@dataclass +class RealtimeAgentStartEvent: + """A new agent has started.""" + + agent: RealtimeAgent + """The new agent.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["agent_start"] = "agent_start" + + +@dataclass +class RealtimeAgentEndEvent: + """An agent has ended.""" + + agent: RealtimeAgent + """The agent that ended.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["agent_end"] = "agent_end" + + +@dataclass +class RealtimeHandoffEvent: + """An agent has handed off to another agent.""" + + from_agent: RealtimeAgent + """The agent that handed off.""" + + to_agent: RealtimeAgent + """The agent that was handed off to.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["handoff"] = "handoff" + + +@dataclass +class RealtimeToolStart: + """An agent is starting a tool call.""" + + agent: RealtimeAgent + """The agent that updated.""" + + tool: Tool + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["tool_start"] = "tool_start" + + +@dataclass +class RealtimeToolEnd: + """An agent has ended a tool call.""" + + agent: RealtimeAgent + """The agent that ended the tool call.""" + + tool: Tool + """The tool that was called.""" + + output: Any + """The output of the tool call.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["tool_end"] = "tool_end" + + +@dataclass +class RealtimeRawTransportEvent: + """Forwards raw events from the transport layer.""" + + data: RealtimeTransportEvent + """The raw data from the transport layer.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["raw_transport_event"] = "raw_transport_event" + + +@dataclass +class RealtimeAudioEnd: + """Triggered when the agent stops generating audio.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["audio_end"] = "audio_end" + + +@dataclass +class RealtimeAudio: + """Triggered when the agent generates new audio to be played.""" + + audio: RealtimeTransportAudioEvent + """The audio event from the transport layer.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["audio"] = "audio" + + +@dataclass +class RealtimeAudioInterrupted: + """Triggered when the agent is interrupted. Can be listened to by the user to stop audio + playback or give visual indicators to the user. + """ + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["audio_interrupted"] = "audio_interrupted" + + +@dataclass +class RealtimeError: + """An error has occurred.""" + + error: Any + """The error that occurred.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["error"] = "error" + + +@dataclass +class RealtimeHistoryUpdated: + """The history has been updated. Contains the full history of the session.""" + + history: list[RealtimeItem] + """The full history of the session.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["history_updated"] = "history_updated" + + +@dataclass +class RealtimeHistoryAdded: + """A new item has been added to the history.""" + + item: RealtimeItem + """The new item that was added to the history.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["history_added"] = "history_added" + + +# TODO (rm) Add guardrails + +RealtimeSessionEvent: TypeAlias = Union[ + RealtimeAgentStartEvent, + RealtimeAgentEndEvent, + RealtimeHandoffEvent, + RealtimeToolStart, + RealtimeToolEnd, + RealtimeRawTransportEvent, + RealtimeAudioEnd, + RealtimeAudio, + RealtimeAudioInterrupted, + RealtimeError, + RealtimeHistoryUpdated, + RealtimeHistoryAdded, +] +"""An event emitted by the realtime session.""" diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py new file mode 100644 index 000000000..fd2a0a3ff --- /dev/null +++ b/src/agents/realtime/session.py @@ -0,0 +1,369 @@ +"""Minimal realtime session implementation for voice agents.""" + +from __future__ import annotations + +import abc +import asyncio +from collections.abc import Awaitable +from typing import Any, Callable, Literal + +from typing_extensions import TypeAlias, assert_never + +from ..handoffs import Handoff +from ..run_context import RunContextWrapper +from ..tool import FunctionTool +from ..tool_context import ToolContext +from .agent import RealtimeAgent +from .config import APIKeyOrKeyFunc, RealtimeSessionConfig, RealtimeUserInput +from .events import ( + RealtimeAgentEndEvent, + RealtimeAgentStartEvent, + RealtimeAudio, + RealtimeAudioEnd, + RealtimeAudioInterrupted, + RealtimeError, + RealtimeEventInfo, + RealtimeHandoffEvent, # noqa: F401 + RealtimeHistoryAdded, + RealtimeHistoryUpdated, + RealtimeRawTransportEvent, + RealtimeSessionEvent, + RealtimeToolEnd, + RealtimeToolStart, +) +from .items import InputAudio, InputText, RealtimeItem +from .openai_realtime import OpenAIRealtimeWebSocketTransport +from .transport import ( + RealtimeModelName, + RealtimeSessionTransport, + RealtimeTransportConnectionOptions, + RealtimeTransportListener, +) +from .transport_events import ( + RealtimeTransportEvent, + RealtimeTransportInputAudioTranscriptionCompletedEvent, + RealtimeTransportToolCallEvent, +) + + +class RealtimeSessionListener(abc.ABC): + """A listener for realtime session events.""" + + @abc.abstractmethod + async def on_event(self, event: RealtimeSessionEvent) -> None: + """Called when an event is emitted by the realtime session.""" + pass + + +RealtimeSessionListenerFunc: TypeAlias = Callable[[RealtimeSessionEvent], Awaitable[None]] +"""A function that can be used as a listener for realtime session events.""" + + +class _RealtimeFuncListener(RealtimeSessionListener): + """A listener that wraps a function.""" + + def __init__(self, func: RealtimeSessionListenerFunc) -> None: + self._func = func + + async def on_event(self, event: RealtimeSessionEvent) -> None: + """Call the wrapped function with the event.""" + await self._func(event) + + +class RealtimeSession(RealtimeTransportListener): + """A `RealtimeSession` is the equivalent of `Runner` for realtime agents. It automatically + handles multiple turns by maintaining a persistent connection with the underlying transport + layer. + + The session manages the local history copy, executes tools, runs guardrails and facilitates + handoffs between agents. + + Since this code runs on your server, it uses WebSockets by default. You can optionally create + your own custom transport layer by implementing the `RealtimeSessionTransport` interface. + """ + + def __init__( + self, + starting_agent: RealtimeAgent, + *, + context: Any | None = None, + transport: Literal["websocket"] | RealtimeSessionTransport = "websocket", + api_key: APIKeyOrKeyFunc | None = None, + model: RealtimeModelName | None = None, + config: RealtimeSessionConfig | None = None, + # TODO (rm) Add guardrail support + # TODO (rm) Add tracing support + # TODO (rm) Add history audio storage config + ) -> None: + """Initialize the realtime session. + + Args: + starting_agent: The agent to start the session with. + context: The context to use for the session. + transport: The transport to use for the session. Defaults to using websockets. + api_key: The API key to use for the session. + model: The model to use. Must be a realtime model. + config: Override parameters to use. + """ + self._current_agent = starting_agent + self._context_wrapper = RunContextWrapper(context) + self._event_info = RealtimeEventInfo(context=self._context_wrapper) + self._override_config = config + self._history: list[RealtimeItem] = [] + self._model = model + self._api_key = api_key + + self._listeners: list[RealtimeSessionListener] = [] + + if transport == "websocket": + self._transport: RealtimeSessionTransport = OpenAIRealtimeWebSocketTransport() + else: + self._transport = transport + + async def __aenter__(self) -> RealtimeSession: + """Async context manager entry.""" + await self.connect() + return self + + async def __aexit__(self, _exc_type: Any, _exc_val: Any, _exc_tb: Any) -> None: + """Async context manager exit.""" + await self.end() + + async def connect(self) -> None: + """Start the session: connect to the model and start the connection.""" + self._transport.add_listener(self) + + config = await self.create_session_config( + overrides=self._override_config, + ) + + options: RealtimeTransportConnectionOptions = { + "initial_session_config": config, + } + + if config.get("api_key") is not None: + options["api_key"] = config["api_key"] + elif self._api_key is not None: + options["api_key"] = self._api_key + + if config.get("model") is not None: + options["model"] = config["model"] + elif self._model is not None: + options["model"] = self._model + + await self._transport.connect(options) + + await self._emit_event( + RealtimeHistoryUpdated( + history=self._history, + info=self._event_info, + ) + ) + + async def end(self) -> None: + """End the session: disconnect from the model and close the connection.""" + pass + + def add_listener(self, listener: RealtimeSessionListener | RealtimeSessionListenerFunc) -> None: + """Add a listener to the session.""" + if isinstance(listener, RealtimeSessionListener): + self._listeners.append(listener) + else: + self._listeners.append(_RealtimeFuncListener(listener)) + + def remove_listener( + self, listener: RealtimeSessionListener | RealtimeSessionListenerFunc + ) -> None: + """Remove a listener from the session.""" + if isinstance(listener, RealtimeSessionListener): + self._listeners.remove(listener) + else: + for x in self._listeners: + if isinstance(x, _RealtimeFuncListener) and x._func == listener: + self._listeners.remove(x) + break + + async def create_session_config( + self, overrides: RealtimeSessionConfig | None = None + ) -> RealtimeSessionConfig: + """Create the session config.""" + agent = self._current_agent + instructions, tools = await asyncio.gather( + agent.get_system_prompt(self._context_wrapper), + agent.get_all_tools(self._context_wrapper), + ) + config = RealtimeSessionConfig() + + if self._model is not None: + config["model"] = self._model + if instructions is not None: + config["instructions"] = instructions + if tools is not None: + config["tools"] = [tool for tool in tools if isinstance(tool, FunctionTool)] + + if overrides: + config.update(overrides) + + return config + + async def send_message(self, message: RealtimeUserInput) -> None: + """Send a message to the model.""" + await self._transport.send_message(message) + + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Send a raw audio chunk to the model.""" + await self._transport.send_audio(audio, commit=commit) + + async def interrupt(self) -> None: + """Interrupt the model.""" + await self._transport.interrupt() + + async def on_event(self, event: RealtimeTransportEvent) -> None: + """Called when an event is emitted by the realtime transport.""" + await self._emit_event(RealtimeRawTransportEvent(data=event, info=self._event_info)) + + if event.type == "error": + await self._emit_event(RealtimeError(info=self._event_info, error=event.error)) + elif event.type == "function_call": + await self._handle_tool_call(event) + elif event.type == "audio": + await self._emit_event(RealtimeAudio(info=self._event_info, audio=event)) + elif event.type == "audio_interrupted": + await self._emit_event(RealtimeAudioInterrupted(info=self._event_info)) + elif event.type == "audio_done": + await self._emit_event(RealtimeAudioEnd(info=self._event_info)) + elif event.type == "conversation.item.input_audio_transcription.completed": + self._history = self._get_new_history(self._history, event) + await self._emit_event( + RealtimeHistoryUpdated(info=self._event_info, history=self._history) + ) + elif event.type == "transcript_delta": + # TODO (rm) Add guardrails + pass + elif event.type == "item_updated": + is_new = any(item.item_id == event.item.item_id for item in self._history) + self._history = self._get_new_history(self._history, event.item) + if is_new: + new_item = next( + item for item in self._history if item.item_id == event.item.item_id + ) + await self._emit_event(RealtimeHistoryAdded(info=self._event_info, item=new_item)) + else: + await self._emit_event( + RealtimeHistoryUpdated(info=self._event_info, history=self._history) + ) + pass + elif event.type == "item_deleted": + deleted_id = event.item_id + self._history = [item for item in self._history if item.item_id != deleted_id] + await self._emit_event( + RealtimeHistoryUpdated(info=self._event_info, history=self._history) + ) + elif event.type == "connection_status": + pass + elif event.type == "turn_started": + await self._emit_event( + RealtimeAgentStartEvent( + agent=self._current_agent, + info=self._event_info, + ) + ) + elif event.type == "turn_ended": + await self._emit_event( + RealtimeAgentEndEvent( + agent=self._current_agent, + info=self._event_info, + ) + ) + elif event.type == "other": + pass + else: + assert_never(event) + + async def _emit_event(self, event: RealtimeSessionEvent) -> None: + """Emit an event to the listeners.""" + await asyncio.gather(*[listener.on_event(event) for listener in self._listeners]) + + async def _handle_tool_call(self, event: RealtimeTransportToolCallEvent) -> None: + all_tools = await self._current_agent.get_all_tools(self._context_wrapper) + function_map = {tool.name: tool for tool in all_tools if isinstance(tool, FunctionTool)} + handoff_map = {tool.name: tool for tool in all_tools if isinstance(tool, Handoff)} + + if event.name in function_map: + await self._emit_event( + RealtimeToolStart( + info=self._event_info, + tool=function_map[event.name], + agent=self._current_agent, + ) + ) + + func_tool = function_map[event.name] + tool_context = ToolContext.from_agent_context(self._context_wrapper, event.call_id) + result = await func_tool.on_invoke_tool(tool_context, event.arguments) + + await self._transport.send_tool_output(event, str(result), True) + + await self._emit_event( + RealtimeToolEnd( + info=self._event_info, + tool=func_tool, + output=result, + agent=self._current_agent, + ) + ) + elif event.name in handoff_map: + # TODO (rm) Add support for handoffs + pass + else: + # TODO (rm) Add error handling + pass + + def _get_new_history( + self, + old_history: list[RealtimeItem], + event: RealtimeTransportInputAudioTranscriptionCompletedEvent | RealtimeItem, + ) -> list[RealtimeItem]: + # Merge transcript into placeholder input_audio message. + if isinstance(event, RealtimeTransportInputAudioTranscriptionCompletedEvent): + new_history: list[RealtimeItem] = [] + for item in old_history: + if item.item_id == event.item_id and item.type == "message" and item.role == "user": + content: list[InputText | InputAudio] = [] + for entry in item.content: + if entry.type == "input_audio": + copied_entry = entry.model_copy(update={"transcript": event.transcript}) + content.append(copied_entry) + else: + content.append(entry) # type: ignore + new_history.append( + item.model_copy(update={"content": content, "status": "completed"}) + ) + else: + new_history.append(item) + return new_history + + # Otherwise it's just a new item + # TODO (rm) Add support for audio storage config + + # If the item already exists, update it + existing_index = next( + (i for i, item in enumerate(old_history) if item.item_id == event.item_id), None + ) + if existing_index is not None: + new_history = old_history.copy() + new_history[existing_index] = event + return new_history + # Otherwise, insert it after the previous_item_id if that is set + elif item.previous_item_id: + # Insert the new item after the previous item + previous_index = next( + (i for i, item in enumerate(old_history) if item.item_id == event.previous_item_id), + None, + ) + if previous_index is not None: + new_history = old_history.copy() + new_history.insert(previous_index + 1, event) + return new_history + # Otherwise, add it to the end + return old_history + [event] diff --git a/tests/realtime/__init__.py b/tests/realtime/__init__.py new file mode 100644 index 000000000..e69de29bb From 1ec7d1f56dfbaa06612c6d61264a9743f6e307a7 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 13:09:12 -0400 Subject: [PATCH 177/337] [7/n] Demo for realtime --- examples/realtime/demo.py | 101 +++++++++ examples/realtime/ui.py | 271 +++++++++++++++++++++++++ src/agents/realtime/openai_realtime.py | 4 +- uv.lock | 6 +- 4 files changed, 380 insertions(+), 2 deletions(-) create mode 100644 examples/realtime/demo.py create mode 100644 examples/realtime/ui.py diff --git a/examples/realtime/demo.py b/examples/realtime/demo.py new file mode 100644 index 000000000..a2ea96545 --- /dev/null +++ b/examples/realtime/demo.py @@ -0,0 +1,101 @@ +import asyncio +import os +import sys +from typing import TYPE_CHECKING + +import numpy as np + +# Add the current directory to path so we can import ui +sys.path.append(os.path.dirname(os.path.abspath(__file__))) + +from agents import function_tool +from agents.realtime import RealtimeAgent, RealtimeSession, RealtimeSessionEvent + +if TYPE_CHECKING: + from .ui import AppUI +else: + # Try both import styles + try: + # Try relative import first (when used as a package) + from .ui import AppUI + except ImportError: + # Fall back to direct import (when run as a script) + from ui import AppUI + + +@function_tool +def get_weather(city: str) -> str: + """Get the weather in a city.""" + return f"The weather in {city} is sunny." + + +agent = RealtimeAgent( + name="Assistant", + instructions="You always greet the user with 'Top of the morning to you'.", + tools=[get_weather], +) + + +class Example: + def __init__(self) -> None: + self.session = RealtimeSession(agent) + self.ui = AppUI() + self.ui.connected = asyncio.Event() + self.ui.last_audio_item_id = None + # Set the audio callback + self.ui.set_audio_callback(self.on_audio_recorded) + + async def run(self) -> None: + self.session.add_listener(self.on_event) + await self.session.connect() + self.ui.set_is_connected(True) + await self.ui.run_async() + + async def on_audio_recorded(self, audio_bytes: bytes) -> None: + """Called when audio is recorded by the UI.""" + try: + # Send the audio to the session + await self.session.send_audio(audio_bytes) + except Exception as e: + self.ui.log_message(f"Error sending audio: {e}") + + async def on_event(self, event: RealtimeSessionEvent) -> None: + # Display event in the UI + try: + if event.type == "agent_start": + self.ui.add_transcript(f"Agent started: {event.agent.name}") + elif event.type == "agent_end": + self.ui.add_transcript(f"Agent ended: {event.agent.name}") + elif event.type == "handoff": + self.ui.add_transcript( + f"Handoff from {event.from_agent.name} to {event.to_agent.name}" + ) + elif event.type == "tool_start": + self.ui.add_transcript(f"Tool started: {event.tool.name}") + elif event.type == "tool_end": + self.ui.add_transcript(f"Tool ended: {event.tool.name}; output: {event.output}") + elif event.type == "audio_end": + self.ui.add_transcript("Audio ended") + elif event.type == "audio": + np_audio = np.frombuffer(event.audio.data, dtype=np.int16) + self.ui.play_audio(np_audio) + elif event.type == "audio_interrupted": + self.ui.add_transcript("Audio interrupted") + elif event.type == "error": + self.ui.add_transcript(f"Error: {event.error}") + elif event.type == "history_updated": + pass + elif event.type == "history_added": + pass + elif event.type == "raw_transport_event": + self.ui.log_message(f"Raw transport event: {event.data}") + else: + self.ui.log_message(f"Unknown event type: {event.type}") + except Exception as e: + # This can happen if the UI has already exited + self.ui.log_message(f"Event handling error: {str(e)}") + + +if __name__ == "__main__": + example = Example() + asyncio.run(example.run()) diff --git a/examples/realtime/ui.py b/examples/realtime/ui.py new file mode 100644 index 000000000..1ba055835 --- /dev/null +++ b/examples/realtime/ui.py @@ -0,0 +1,271 @@ +from __future__ import annotations + +import asyncio +from collections.abc import Coroutine +from typing import Any, Callable + +import numpy as np +import numpy.typing as npt +import sounddevice as sd +from textual import events +from textual.app import App, ComposeResult +from textual.containers import Container, Horizontal +from textual.reactive import reactive +from textual.widgets import RichLog, Static +from typing_extensions import override + +CHUNK_LENGTH_S = 0.05 # 50ms +SAMPLE_RATE = 24000 +FORMAT = np.int16 +CHANNELS = 1 + + +class Header(Static): + """A header widget.""" + + @override + def render(self) -> str: + return "Realtime Demo" + + +class AudioStatusIndicator(Static): + """A widget that shows the current audio recording status.""" + + is_recording = reactive(False) + + @override + def render(self) -> str: + status = ( + "🔴 Conversation started." + if self.is_recording + else "⚪ Press SPACE to start the conversation (q to quit)" + ) + return status + + +class AppUI(App[None]): + CSS = """ + Screen { + background: #1a1b26; /* Dark blue-grey background */ + } + + Container { + border: double rgb(91, 164, 91); + } + + #input-container { + height: 5; /* Explicit height for input container */ + margin: 1 1; + padding: 1 2; + } + + #bottom-pane { + width: 100%; + height: 82%; /* Reduced to make room for session display */ + border: round rgb(205, 133, 63); + } + + #status-indicator { + height: 3; + content-align: center middle; + background: #2a2b36; + border: solid rgb(91, 164, 91); + margin: 1 1; + } + + #session-display { + height: 3; + content-align: center middle; + background: #2a2b36; + border: solid rgb(91, 164, 91); + margin: 1 1; + } + + #transcripts { + width: 50%; + height: 100%; + border-right: solid rgb(91, 164, 91); + } + + #transcripts-header { + height: 2; + background: #2a2b36; + content-align: center middle; + border-bottom: solid rgb(91, 164, 91); + } + + #transcripts-content { + height: 100%; + } + + #event-log { + width: 50%; + height: 100%; + } + + #event-log-header { + height: 2; + background: #2a2b36; + content-align: center middle; + border-bottom: solid rgb(91, 164, 91); + } + + #event-log-content { + height: 100%; + } + + Static { + color: white; + } + """ + + should_send_audio: asyncio.Event + connected: asyncio.Event + last_audio_item_id: str | None + audio_callback: Callable[[bytes], Coroutine[Any, Any, None]] | None + + def __init__(self) -> None: + super().__init__() + self.audio_player = sd.OutputStream( + samplerate=SAMPLE_RATE, + channels=CHANNELS, + dtype=FORMAT, + ) + self.should_send_audio = asyncio.Event() + self.connected = asyncio.Event() + self.audio_callback = None + + @override + def compose(self) -> ComposeResult: + """Create child widgets for the app.""" + with Container(): + yield Header(id="session-display") + yield AudioStatusIndicator(id="status-indicator") + with Container(id="bottom-pane"): + with Horizontal(): + with Container(id="transcripts"): + yield Static("Conversation transcript", id="transcripts-header") + yield RichLog( + id="transcripts-content", wrap=True, highlight=True, markup=True + ) + with Container(id="event-log"): + yield Static("Raw event log", id="event-log-header") + yield RichLog( + id="event-log-content", wrap=True, highlight=True, markup=True + ) + + def set_is_connected(self, is_connected: bool) -> None: + self.connected.set() if is_connected else self.connected.clear() + + def set_audio_callback(self, callback: Callable[[bytes], Coroutine[Any, Any, None]]) -> None: + """Set a callback function to be called when audio is recorded.""" + self.audio_callback = callback + + # High-level methods for UI operations + def set_header_text(self, text: str) -> None: + """Update the header text.""" + header = self.query_one("#session-display", Header) + header.update(text) + + def set_recording_status(self, is_recording: bool) -> None: + """Set the recording status indicator.""" + status_indicator = self.query_one(AudioStatusIndicator) + status_indicator.is_recording = is_recording + + def log_message(self, message: str) -> None: + """Add a message to the event log.""" + try: + log_pane = self.query_one("#event-log-content", RichLog) + log_pane.write(message) + except Exception: + # Handle the case where the widget might not be available + pass + + def add_transcript(self, message: str) -> None: + """Add a transcript message to the transcripts panel.""" + try: + transcript_pane = self.query_one("#transcripts-content", RichLog) + transcript_pane.write(message) + except Exception: + # Handle the case where the widget might not be available + pass + + def play_audio(self, audio_data: npt.NDArray[np.int16]) -> None: + """Play audio data through the audio player.""" + try: + self.audio_player.write(audio_data) + except Exception as e: + self.log_message(f"Audio play error: {e}") + + async def on_mount(self) -> None: + """Set up audio player and start the audio capture worker.""" + self.audio_player.start() + self.run_worker(self.capture_audio()) + + async def capture_audio(self) -> None: + """Capture audio from the microphone and send to the session.""" + # Wait for connection to be established + await self.connected.wait() + + # Set up audio input stream + stream = sd.InputStream( + channels=CHANNELS, + samplerate=SAMPLE_RATE, + dtype=FORMAT, + ) + + try: + # Wait for user to press spacebar to start + await self.should_send_audio.wait() + + stream.start() + self.set_recording_status(True) + self.log_message("Recording started - speak to the agent") + + # Buffer size in samples + read_size = int(SAMPLE_RATE * CHUNK_LENGTH_S) + + while True: + # Check if there's enough data to read + if stream.read_available < read_size: + await asyncio.sleep(0.01) # Small sleep to avoid CPU hogging + continue + + # Read audio data + data, _ = stream.read(read_size) + + # Convert numpy array to bytes + audio_bytes = data.tobytes() + + # Call audio callback if set + if self.audio_callback: + try: + await self.audio_callback(audio_bytes) + except Exception as e: + self.log_message(f"Audio callback error: {e}") + + # Yield control back to event loop + await asyncio.sleep(0) + + except Exception as e: + self.log_message(f"Audio capture error: {e}") + finally: + if stream.active: + stream.stop() + stream.close() + + async def on_key(self, event: events.Key) -> None: + """Handle key press events.""" + # add the keypress to the log + self.log_message(f"Key pressed: {event.key}") + + if event.key == "q": + self.audio_player.stop() + self.audio_player.close() + self.exit() + return + + if event.key == "space": # Spacebar + if not self.should_send_audio.is_set(): + self.should_send_audio.set() + self.set_recording_status(True) diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 226eaed7d..6dc34bcf1 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -231,7 +231,9 @@ async def _handle_ws_event(self, event: dict[str, Any]): ).validate_python(event) except Exception as e: logger.error(f"Invalid event: {event} - {e}") - await self._emit_event(RealtimeTransportErrorEvent(error=f"Invalid event: {event}")) + await self._emit_event( + RealtimeTransportErrorEvent(error=f"Invalid event: {event} - {e}") + ) return if parsed.type == "response.audio.delta": diff --git a/uv.lock b/uv.lock index d882c9bc5..880116f58 100644 --- a/uv.lock +++ b/uv.lock @@ -1496,6 +1496,9 @@ dependencies = [ litellm = [ { name = "litellm" }, ] +realtime = [ + { name = "websockets" }, +] viz = [ { name = "graphviz" }, ] @@ -1541,9 +1544,10 @@ requires-dist = [ { name = "requests", specifier = ">=2.0,<3" }, { name = "types-requests", specifier = ">=2.0,<3" }, { name = "typing-extensions", specifier = ">=4.12.2,<5" }, + { name = "websockets", marker = "extra == 'realtime'", specifier = ">=15.0,<16" }, { name = "websockets", marker = "extra == 'voice'", specifier = ">=15.0,<16" }, ] -provides-extras = ["voice", "viz", "litellm"] +provides-extras = ["voice", "viz", "litellm", "realtime"] [package.metadata.requires-dev] dev = [ From 8f4404b9a86f4805fcdc714b30619814bf5d2962 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 13:09:12 -0400 Subject: [PATCH 178/337] [4/n] Transport interface + events --- src/agents/realtime/items.py | 2 +- src/agents/realtime/transport.py | 107 +++++++++++++++++ src/agents/realtime/transport_events.py | 150 ++++++++++++++++++++++++ tests/realtime/test_transport_events.py | 12 ++ 4 files changed, 270 insertions(+), 1 deletion(-) create mode 100644 src/agents/realtime/transport.py create mode 100644 src/agents/realtime/transport_events.py create mode 100644 tests/realtime/test_transport_events.py diff --git a/src/agents/realtime/items.py b/src/agents/realtime/items.py index 117a35a02..a027b2a39 100644 --- a/src/agents/realtime/items.py +++ b/src/agents/realtime/items.py @@ -92,7 +92,7 @@ class RealtimeToolCallItem(BaseModel): model_config = ConfigDict(extra="allow") -RealtimeItem = RealtimeMessageItem | RealtimeToolCallItem +RealtimeItem = Union[RealtimeMessageItem, RealtimeToolCallItem] class RealtimeResponse(BaseModel): diff --git a/src/agents/realtime/transport.py b/src/agents/realtime/transport.py new file mode 100644 index 000000000..18290d128 --- /dev/null +++ b/src/agents/realtime/transport.py @@ -0,0 +1,107 @@ +import abc +from typing import Any, Literal, Union + +from typing_extensions import NotRequired, TypeAlias, TypedDict + +from .config import APIKeyOrKeyFunc, RealtimeClientMessage, RealtimeSessionConfig, RealtimeUserInput +from .transport_events import RealtimeTransportEvent, RealtimeTransportToolCallEvent + +RealtimeModelName: TypeAlias = Union[ + Literal[ + "gpt-4o-realtime-preview", + "gpt-4o-mini-realtime-preview", + "gpt-4o-realtime-preview-2025-06-03", + "gpt-4o-realtime-preview-2024-12-17", + "gpt-4o-realtime-preview-2024-10-01", + "gpt-4o-mini-realtime-preview-2024-12-17", + ], + str, +] +"""The name of a realtime model.""" + + +class RealtimeTransportListener(abc.ABC): + """A listener for realtime transport events.""" + + @abc.abstractmethod + async def on_event(self, event: RealtimeTransportEvent) -> None: + """Called when an event is emitted by the realtime transport.""" + pass + + +class RealtimeTransportConnectionOptions(TypedDict): + """Options for connecting to a realtime transport.""" + + api_key: NotRequired[APIKeyOrKeyFunc] + """The API key to use for the transport. If unset, the transport will attempt to use the + `OPENAI_API_KEY` environment variable. + """ + + model: NotRequired[str] + """The model to use.""" + + url: NotRequired[str] + """The URL to use for the transport. If unset, the transport will use the default OpenAI + WebSocket URL. + """ + + initial_session_config: NotRequired[RealtimeSessionConfig] + + +class RealtimeSessionTransport(abc.ABC): + """A transport layer for realtime sessions.""" + + @abc.abstractmethod + async def connect(self, options: RealtimeTransportConnectionOptions) -> None: + """Establish a connection to the model and keep it alive.""" + pass + + @abc.abstractmethod + def add_listener(self, listener: RealtimeTransportListener) -> None: + """Add a listener to the transport.""" + pass + + @abc.abstractmethod + async def remove_listener(self, listener: RealtimeTransportListener) -> None: + """Remove a listener from the transport.""" + pass + + @abc.abstractmethod + async def send_event(self, event: RealtimeClientMessage) -> None: + """Send an event to the model.""" + pass + + @abc.abstractmethod + async def send_message( + self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None + ) -> None: + """Send a message to the model.""" + pass + + @abc.abstractmethod + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Send a raw audio chunk to the model. + + Args: + audio: The audio data to send. + commit: Whether to commit the audio buffer to the model. If the model does not do turn + detection, this can be used to indicate the turn is completed. + """ + pass + + @abc.abstractmethod + async def send_tool_output( + self, tool_call: RealtimeTransportToolCallEvent, output: str, start_response: bool + ) -> None: + """Send tool output to the model.""" + pass + + @abc.abstractmethod + async def interrupt(self) -> None: + """Interrupt the model. For example, could be triggered by a guardrail.""" + pass + + @abc.abstractmethod + async def close(self) -> None: + """Close the session.""" + pass diff --git a/src/agents/realtime/transport_events.py b/src/agents/realtime/transport_events.py new file mode 100644 index 000000000..735577b17 --- /dev/null +++ b/src/agents/realtime/transport_events.py @@ -0,0 +1,150 @@ +from __future__ import annotations + +from dataclasses import dataclass +from typing import Any, Literal, Union + +from typing_extensions import TypeAlias + +from .items import RealtimeItem + +RealtimeConnectionStatus: TypeAlias = Literal["connecting", "connected", "disconnected"] + + +@dataclass +class RealtimeTransportErrorEvent: + """Represents a transport‑layer error.""" + + error: Any + + type: Literal["error"] = "error" + + +@dataclass +class RealtimeTransportToolCallEvent: + """Model attempted a tool/function call.""" + + name: str + call_id: str + arguments: str + + id: str | None = None + previous_item_id: str | None = None + + type: Literal["function_call"] = "function_call" + + +@dataclass +class RealtimeTransportAudioEvent: + """Raw audio bytes emitted by the model.""" + + data: bytes + response_id: str + + type: Literal["audio"] = "audio" + + +@dataclass +class RealtimeTransportAudioInterruptedEvent: + """Audio interrupted.""" + + type: Literal["audio_interrupted"] = "audio_interrupted" + + +@dataclass +class RealtimeTransportAudioDoneEvent: + """Audio done.""" + + type: Literal["audio_done"] = "audio_done" + + +@dataclass +class RealtimeTransportInputAudioTranscriptionCompletedEvent: + """Input audio transcription completed.""" + + item_id: str + transcript: str + + type: Literal["conversation.item.input_audio_transcription.completed"] = ( + "conversation.item.input_audio_transcription.completed" + ) + + +@dataclass +class RealtimeTransportTranscriptDelta: + """Partial transcript update.""" + + item_id: str + delta: str + response_id: str + + type: Literal["transcript_delta"] = "transcript_delta" + + +@dataclass +class RealtimeTransportItemUpdatedEvent: + """Item added to the history or updated.""" + + item: RealtimeItem + + type: Literal["item_updated"] = "item_updated" + + +@dataclass +class RealtimeTransportItemDeletedEvent: + """Item deleted from the history.""" + + item_id: str + + type: Literal["item_deleted"] = "item_deleted" + + +@dataclass +class RealtimeTransportConnectionStatusEvent: + """Connection status changed.""" + + status: RealtimeConnectionStatus + + type: Literal["connection_status"] = "connection_status" + + +@dataclass +class RealtimeTransportTurnStartedEvent: + """Triggered when the model starts generating a response for a turn.""" + + type: Literal["turn_started"] = "turn_started" + + +@dataclass +class RealtimeTransportTurnEndedEvent: + """Triggered when the model finishes generating a response for a turn.""" + + type: Literal["turn_ended"] = "turn_ended" + + +@dataclass +class RealtimeTransportOtherEvent: + """Used as a catchall for vendor-specific events.""" + + data: Any + + type: Literal["other"] = "other" + + +# TODO (rm) Add usage events + + +RealtimeTransportEvent: TypeAlias = Union[ + RealtimeTransportErrorEvent, + RealtimeTransportToolCallEvent, + RealtimeTransportAudioEvent, + RealtimeTransportAudioInterruptedEvent, + RealtimeTransportAudioDoneEvent, + RealtimeTransportInputAudioTranscriptionCompletedEvent, + RealtimeTransportTranscriptDelta, + RealtimeTransportItemUpdatedEvent, + RealtimeTransportItemDeletedEvent, + RealtimeTransportConnectionStatusEvent, + RealtimeTransportTurnStartedEvent, + RealtimeTransportTurnEndedEvent, + RealtimeTransportOtherEvent, +] diff --git a/tests/realtime/test_transport_events.py b/tests/realtime/test_transport_events.py new file mode 100644 index 000000000..2219303d0 --- /dev/null +++ b/tests/realtime/test_transport_events.py @@ -0,0 +1,12 @@ +from typing import get_args + +from agents.realtime.transport_events import RealtimeTransportEvent + + +def test_all_events_have_type() -> None: + """Test that all events have a type.""" + events = get_args(RealtimeTransportEvent) + assert len(events) > 0 + for event in events: + assert event.type is not None + assert isinstance(event.type, str) From 049c61d62f6e26c7519c43ae0cb7d4feaf80311d Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 13:09:12 -0400 Subject: [PATCH 179/337] [5/n] OpenAI realtime transport impl --- pyproject.toml | 1 + src/agents/realtime/openai_realtime.py | 353 +++++++++++++++++++++++++ 2 files changed, 354 insertions(+) create mode 100644 src/agents/realtime/openai_realtime.py diff --git a/pyproject.toml b/pyproject.toml index e659348ca..44bc45947 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -37,6 +37,7 @@ Repository = "https://github.com/openai/openai-agents-python" voice = ["numpy>=2.2.0, <3; python_version>='3.10'", "websockets>=15.0, <16"] viz = ["graphviz>=0.17"] litellm = ["litellm>=1.67.4.post1, <2"] +realtime = ["websockets>=15.0, <16"] [dependency-groups] dev = [ diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py new file mode 100644 index 000000000..226eaed7d --- /dev/null +++ b/src/agents/realtime/openai_realtime.py @@ -0,0 +1,353 @@ +import asyncio +import base64 +import json +import os +from datetime import datetime +from typing import Any + +import websockets +from openai.types.beta.realtime.realtime_server_event import ( + RealtimeServerEvent as OpenAIRealtimeServerEvent, +) +from pydantic import TypeAdapter +from websockets.asyncio.client import ClientConnection + +from ..exceptions import UserError +from ..logger import logger +from .config import RealtimeClientMessage, RealtimeUserInput, get_api_key +from .items import RealtimeMessageItem, RealtimeToolCallItem +from .transport import ( + RealtimeSessionTransport, + RealtimeTransportConnectionOptions, + RealtimeTransportListener, +) +from .transport_events import ( + RealtimeTransportAudioDoneEvent, + RealtimeTransportAudioEvent, + RealtimeTransportAudioInterruptedEvent, + RealtimeTransportErrorEvent, + RealtimeTransportEvent, + RealtimeTransportInputAudioTranscriptionCompletedEvent, + RealtimeTransportItemDeletedEvent, + RealtimeTransportItemUpdatedEvent, + RealtimeTransportToolCallEvent, + RealtimeTransportTranscriptDelta, + RealtimeTransportTurnEndedEvent, + RealtimeTransportTurnStartedEvent, +) + + +class OpenAIRealtimeWebSocketTransport(RealtimeSessionTransport): + """A transport layer for realtime sessions that uses OpenAI's WebSocket API.""" + + def __init__(self) -> None: + self.model = "gpt-4o-realtime-preview" # Default model + self._websocket: ClientConnection | None = None + self._websocket_task: asyncio.Task[None] | None = None + self._listeners: list[RealtimeTransportListener] = [] + self._current_item_id: str | None = None + self._audio_start_time: datetime | None = None + self._audio_length_ms: float = 0.0 + self._ongoing_response: bool = False + self._current_audio_content_index: int | None = None + + async def connect(self, options: RealtimeTransportConnectionOptions) -> None: + """Establish a connection to the model and keep it alive.""" + assert self._websocket is None, "Already connected" + assert self._websocket_task is None, "Already connected" + + self.model = options.get("model", self.model) + api_key = await get_api_key(options.get("api_key", os.getenv("OPENAI_API_KEY"))) + + if not api_key: + raise UserError("API key is required but was not provided.") + + url = options.get("url", f"wss://api.openai.com/v1/realtime?model={self.model}") + + headers = { + "Authorization": f"Bearer {api_key}", + "OpenAI-Beta": "realtime=v1", + } + self._websocket = await websockets.connect(url, additional_headers=headers) + self._websocket_task = asyncio.create_task(self._listen_for_messages()) + + def add_listener(self, listener: RealtimeTransportListener) -> None: + """Add a listener to the transport.""" + self._listeners.append(listener) + + async def remove_listener(self, listener: RealtimeTransportListener) -> None: + """Remove a listener from the transport.""" + self._listeners.remove(listener) + + async def _emit_event(self, event: RealtimeTransportEvent) -> None: + """Emit an event to the listeners.""" + for listener in self._listeners: + await listener.on_event(event) + + async def _listen_for_messages(self): + assert self._websocket is not None, "Not connected" + + try: + async for message in self._websocket: + parsed = json.loads(message) + await self._handle_ws_event(parsed) + + except websockets.exceptions.ConnectionClosed: + # TODO connection closed handling (event, cleanup) + logger.warning("WebSocket connection closed") + except Exception as e: + logger.error(f"WebSocket error: {e}") + + async def send_event(self, event: RealtimeClientMessage) -> None: + """Send an event to the model.""" + assert self._websocket is not None, "Not connected" + converted_event = { + "type": event["type"], + } + + converted_event.update(event.get("other_data", {})) + + await self._websocket.send(json.dumps(converted_event)) + + async def send_message( + self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None + ) -> None: + """Send a message to the model.""" + message = ( + message + if isinstance(message, dict) + else { + "type": "message", + "role": "user", + "content": [{"type": "input_text", "text": message}], + } + ) + other_data = { + "item": message, + } + if other_event_data: + other_data.update(other_event_data) + + await self.send_event({"type": "conversation.item.create", "other_data": other_data}) + + await self.send_event({"type": "response.create"}) + + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Send a raw audio chunk to the model. + + Args: + audio: The audio data to send. + commit: Whether to commit the audio buffer to the model. If the model does not do turn + detection, this can be used to indicate the turn is completed. + """ + assert self._websocket is not None, "Not connected" + base64_audio = base64.b64encode(audio).decode("utf-8") + await self.send_event( + { + "type": "input_audio_buffer.append", + "other_data": { + "audio": base64_audio, + }, + } + ) + if commit: + await self.send_event({"type": "input_audio_buffer.commit"}) + + async def send_tool_output( + self, tool_call: RealtimeTransportToolCallEvent, output: str, start_response: bool + ) -> None: + """Send tool output to the model.""" + await self.send_event( + { + "type": "conversation.item.create", + "other_data": { + "item": { + "type": "function_call_output", + "output": output, + "call_id": tool_call.id, + }, + }, + } + ) + + tool_item = RealtimeToolCallItem( + item_id=tool_call.id or "", + previous_item_id=tool_call.previous_item_id, + type="function_call", + status="completed", + arguments=tool_call.arguments, + name=tool_call.name, + output=output, + ) + await self._emit_event(RealtimeTransportItemUpdatedEvent(item=tool_item)) + + if start_response: + await self.send_event({"type": "response.create"}) + + async def interrupt(self) -> None: + """Interrupt the model.""" + if not self._current_item_id or not self._audio_start_time: + return + + await self._cancel_response() + + elapsed_time_ms = (datetime.now() - self._audio_start_time).total_seconds() * 1000 + if elapsed_time_ms > 0 and elapsed_time_ms < self._audio_length_ms: + await self._emit_event(RealtimeTransportAudioInterruptedEvent()) + await self.send_event( + { + "type": "conversation.item.truncate", + "other_data": { + "item_id": self._current_item_id, + "content_index": self._current_audio_content_index, + "audio_end_ms": elapsed_time_ms, + }, + } + ) + + self._current_item_id = None + self._audio_start_time = None + self._audio_length_ms = 0.0 + self._current_audio_content_index = None + + async def close(self) -> None: + """Close the session.""" + if self._websocket: + await self._websocket.close() + self._websocket = None + if self._websocket_task: + self._websocket_task.cancel() + self._websocket_task = None + + async def _cancel_response(self) -> None: + if self._ongoing_response: + await self.send_event({"type": "response.cancel"}) + self._ongoing_response = False + + async def _handle_ws_event(self, event: dict[str, Any]): + try: + parsed: OpenAIRealtimeServerEvent = TypeAdapter( + OpenAIRealtimeServerEvent + ).validate_python(event) + except Exception as e: + logger.error(f"Invalid event: {event} - {e}") + await self._emit_event(RealtimeTransportErrorEvent(error=f"Invalid event: {event}")) + return + + if parsed.type == "response.audio.delta": + self._current_audio_content_index = parsed.content_index + self._current_item_id = parsed.item_id + if self._audio_start_time is None: + self._audio_start_time = datetime.now() + self._audio_length_ms = 0.0 + + audio_bytes = base64.b64decode(parsed.delta) + # Calculate audio length in ms using 24KHz pcm16le + self._audio_length_ms += len(audio_bytes) / 24 / 2 + await self._emit_event( + RealtimeTransportAudioEvent(data=audio_bytes, response_id=parsed.response_id) + ) + elif parsed.type == "response.audio.done": + await self._emit_event(RealtimeTransportAudioDoneEvent()) + elif parsed.type == "input_audio_buffer.speech_started": + await self.interrupt() + elif parsed.type == "response.created": + self._ongoing_response = True + await self._emit_event(RealtimeTransportTurnStartedEvent()) + elif parsed.type == "response.done": + self._ongoing_response = False + await self._emit_event(RealtimeTransportTurnEndedEvent()) + elif parsed.type == "session.created": + # TODO (rm) tracing stuff here + pass + elif parsed.type == "error": + await self._emit_event(RealtimeTransportErrorEvent(error=parsed.error)) + elif parsed.type == "conversation.item.deleted": + await self._emit_event(RealtimeTransportItemDeletedEvent(item_id=parsed.item_id)) + elif ( + parsed.type == "conversation.item.created" + or parsed.type == "conversation.item.retrieved" + ): + item = parsed.item + previous_item_id = ( + parsed.previous_item_id if parsed.type == "conversation.item.created" else None + ) + message_item: RealtimeMessageItem = TypeAdapter(RealtimeMessageItem).validate_python( + { + "item_id": item.id or "", + "previous_item_id": previous_item_id, + "type": item.type, + "role": item.role, + "content": item.content, + "status": "in_progress", + } + ) + await self._emit_event(RealtimeTransportItemUpdatedEvent(item=message_item)) + elif ( + parsed.type == "conversation.item.input_audio_transcription.completed" + or parsed.type == "conversation.item.truncated" + ): + await self.send_event( + { + "type": "conversation.item.retrieve", + "other_data": { + "item_id": self._current_item_id, + }, + } + ) + if parsed.type == "conversation.item.input_audio_transcription.completed": + await self._emit_event( + RealtimeTransportInputAudioTranscriptionCompletedEvent( + item_id=parsed.item_id, transcript=parsed.transcript + ) + ) + elif parsed.type == "response.audio_transcript.delta": + await self._emit_event( + RealtimeTransportTranscriptDelta( + item_id=parsed.item_id, delta=parsed.delta, response_id=parsed.response_id + ) + ) + elif ( + parsed.type == "conversation.item.input_audio_transcription.delta" + or parsed.type == "response.text.delta" + or parsed.type == "response.function_call_arguments.delta" + ): + # No support for partials yet + pass + elif ( + parsed.type == "response.output_item.added" + or parsed.type == "response.output_item.done" + ): + item = parsed.item + if item.type == "function_call" and item.status == "completed": + tool_call = RealtimeToolCallItem( + item_id=item.id or "", + previous_item_id=None, + type="function_call", + # We use the same item for tool call and output, so it will be completed by the + # output being added + status="in_progress", + arguments=item.arguments or "", + name=item.name or "", + output=None, + ) + await self._emit_event(RealtimeTransportItemUpdatedEvent(item=tool_call)) + await self._emit_event( + RealtimeTransportToolCallEvent( + call_id=item.id or "", + name=item.name or "", + arguments=item.arguments or "", + id=item.id or "", + ) + ) + elif item.type == "message": + message_item = TypeAdapter(RealtimeMessageItem).validate_python( + { + "item_id": item.id or "", + "type": item.type, + "role": item.role, + "content": item.content, + "status": "in_progress", + } + ) + await self._emit_event(RealtimeTransportItemUpdatedEvent(item=message_item)) From 2263d7490298ffd9df935fa3876a58839f936510 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 13:09:12 -0400 Subject: [PATCH 180/337] [6/n] RealtimeSession + events --- src/agents/realtime/README.md | 3 + src/agents/realtime/__init__.py | 51 +++++ src/agents/realtime/events.py | 198 +++++++++++++++++ src/agents/realtime/session.py | 369 ++++++++++++++++++++++++++++++++ tests/realtime/__init__.py | 0 5 files changed, 621 insertions(+) create mode 100644 src/agents/realtime/README.md create mode 100644 src/agents/realtime/__init__.py create mode 100644 src/agents/realtime/events.py create mode 100644 src/agents/realtime/session.py create mode 100644 tests/realtime/__init__.py diff --git a/src/agents/realtime/README.md b/src/agents/realtime/README.md new file mode 100644 index 000000000..9acc23160 --- /dev/null +++ b/src/agents/realtime/README.md @@ -0,0 +1,3 @@ +# Realtime + +Realtime agents are in beta: expect some breaking changes over the next few weeks as we find issues and fix them. diff --git a/src/agents/realtime/__init__.py b/src/agents/realtime/__init__.py new file mode 100644 index 000000000..7e5d4932a --- /dev/null +++ b/src/agents/realtime/__init__.py @@ -0,0 +1,51 @@ +from .agent import RealtimeAgent, RealtimeAgentHooks, RealtimeRunHooks +from .config import APIKeyOrKeyFunc +from .events import ( + RealtimeAgentEndEvent, + RealtimeAgentStartEvent, + RealtimeAudio, + RealtimeAudioEnd, + RealtimeAudioInterrupted, + RealtimeError, + RealtimeHandoffEvent, + RealtimeHistoryAdded, + RealtimeHistoryUpdated, + RealtimeRawTransportEvent, + RealtimeSessionEvent, + RealtimeToolEnd, + RealtimeToolStart, +) +from .session import RealtimeSession +from .transport import ( + RealtimeModelName, + RealtimeSessionTransport, + RealtimeTransportConnectionOptions, + RealtimeTransportListener, +) + +__all__ = [ + "RealtimeAgent", + "RealtimeAgentHooks", + "RealtimeRunHooks", + "RealtimeSession", + "RealtimeSessionListener", + "RealtimeSessionListenerFunc", + "APIKeyOrKeyFunc", + "RealtimeModelName", + "RealtimeSessionTransport", + "RealtimeTransportListener", + "RealtimeTransportConnectionOptions", + "RealtimeSessionEvent", + "RealtimeAgentStartEvent", + "RealtimeAgentEndEvent", + "RealtimeHandoffEvent", + "RealtimeToolStart", + "RealtimeToolEnd", + "RealtimeRawTransportEvent", + "RealtimeAudioEnd", + "RealtimeAudio", + "RealtimeAudioInterrupted", + "RealtimeError", + "RealtimeHistoryUpdated", + "RealtimeHistoryAdded", +] diff --git a/src/agents/realtime/events.py b/src/agents/realtime/events.py new file mode 100644 index 000000000..bd6b7b5b0 --- /dev/null +++ b/src/agents/realtime/events.py @@ -0,0 +1,198 @@ +from dataclasses import dataclass +from typing import Any, Literal, Union + +from typing_extensions import TypeAlias + +from ..run_context import RunContextWrapper +from ..tool import Tool +from .agent import RealtimeAgent +from .items import RealtimeItem +from .transport_events import RealtimeTransportAudioEvent, RealtimeTransportEvent + + +@dataclass +class RealtimeEventInfo: + context: RunContextWrapper + """The context for the event.""" + + +@dataclass +class RealtimeAgentStartEvent: + """A new agent has started.""" + + agent: RealtimeAgent + """The new agent.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["agent_start"] = "agent_start" + + +@dataclass +class RealtimeAgentEndEvent: + """An agent has ended.""" + + agent: RealtimeAgent + """The agent that ended.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["agent_end"] = "agent_end" + + +@dataclass +class RealtimeHandoffEvent: + """An agent has handed off to another agent.""" + + from_agent: RealtimeAgent + """The agent that handed off.""" + + to_agent: RealtimeAgent + """The agent that was handed off to.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["handoff"] = "handoff" + + +@dataclass +class RealtimeToolStart: + """An agent is starting a tool call.""" + + agent: RealtimeAgent + """The agent that updated.""" + + tool: Tool + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["tool_start"] = "tool_start" + + +@dataclass +class RealtimeToolEnd: + """An agent has ended a tool call.""" + + agent: RealtimeAgent + """The agent that ended the tool call.""" + + tool: Tool + """The tool that was called.""" + + output: Any + """The output of the tool call.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["tool_end"] = "tool_end" + + +@dataclass +class RealtimeRawTransportEvent: + """Forwards raw events from the transport layer.""" + + data: RealtimeTransportEvent + """The raw data from the transport layer.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["raw_transport_event"] = "raw_transport_event" + + +@dataclass +class RealtimeAudioEnd: + """Triggered when the agent stops generating audio.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["audio_end"] = "audio_end" + + +@dataclass +class RealtimeAudio: + """Triggered when the agent generates new audio to be played.""" + + audio: RealtimeTransportAudioEvent + """The audio event from the transport layer.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["audio"] = "audio" + + +@dataclass +class RealtimeAudioInterrupted: + """Triggered when the agent is interrupted. Can be listened to by the user to stop audio + playback or give visual indicators to the user. + """ + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["audio_interrupted"] = "audio_interrupted" + + +@dataclass +class RealtimeError: + """An error has occurred.""" + + error: Any + """The error that occurred.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["error"] = "error" + + +@dataclass +class RealtimeHistoryUpdated: + """The history has been updated. Contains the full history of the session.""" + + history: list[RealtimeItem] + """The full history of the session.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["history_updated"] = "history_updated" + + +@dataclass +class RealtimeHistoryAdded: + """A new item has been added to the history.""" + + item: RealtimeItem + """The new item that was added to the history.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["history_added"] = "history_added" + + +# TODO (rm) Add guardrails + +RealtimeSessionEvent: TypeAlias = Union[ + RealtimeAgentStartEvent, + RealtimeAgentEndEvent, + RealtimeHandoffEvent, + RealtimeToolStart, + RealtimeToolEnd, + RealtimeRawTransportEvent, + RealtimeAudioEnd, + RealtimeAudio, + RealtimeAudioInterrupted, + RealtimeError, + RealtimeHistoryUpdated, + RealtimeHistoryAdded, +] +"""An event emitted by the realtime session.""" diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py new file mode 100644 index 000000000..fd2a0a3ff --- /dev/null +++ b/src/agents/realtime/session.py @@ -0,0 +1,369 @@ +"""Minimal realtime session implementation for voice agents.""" + +from __future__ import annotations + +import abc +import asyncio +from collections.abc import Awaitable +from typing import Any, Callable, Literal + +from typing_extensions import TypeAlias, assert_never + +from ..handoffs import Handoff +from ..run_context import RunContextWrapper +from ..tool import FunctionTool +from ..tool_context import ToolContext +from .agent import RealtimeAgent +from .config import APIKeyOrKeyFunc, RealtimeSessionConfig, RealtimeUserInput +from .events import ( + RealtimeAgentEndEvent, + RealtimeAgentStartEvent, + RealtimeAudio, + RealtimeAudioEnd, + RealtimeAudioInterrupted, + RealtimeError, + RealtimeEventInfo, + RealtimeHandoffEvent, # noqa: F401 + RealtimeHistoryAdded, + RealtimeHistoryUpdated, + RealtimeRawTransportEvent, + RealtimeSessionEvent, + RealtimeToolEnd, + RealtimeToolStart, +) +from .items import InputAudio, InputText, RealtimeItem +from .openai_realtime import OpenAIRealtimeWebSocketTransport +from .transport import ( + RealtimeModelName, + RealtimeSessionTransport, + RealtimeTransportConnectionOptions, + RealtimeTransportListener, +) +from .transport_events import ( + RealtimeTransportEvent, + RealtimeTransportInputAudioTranscriptionCompletedEvent, + RealtimeTransportToolCallEvent, +) + + +class RealtimeSessionListener(abc.ABC): + """A listener for realtime session events.""" + + @abc.abstractmethod + async def on_event(self, event: RealtimeSessionEvent) -> None: + """Called when an event is emitted by the realtime session.""" + pass + + +RealtimeSessionListenerFunc: TypeAlias = Callable[[RealtimeSessionEvent], Awaitable[None]] +"""A function that can be used as a listener for realtime session events.""" + + +class _RealtimeFuncListener(RealtimeSessionListener): + """A listener that wraps a function.""" + + def __init__(self, func: RealtimeSessionListenerFunc) -> None: + self._func = func + + async def on_event(self, event: RealtimeSessionEvent) -> None: + """Call the wrapped function with the event.""" + await self._func(event) + + +class RealtimeSession(RealtimeTransportListener): + """A `RealtimeSession` is the equivalent of `Runner` for realtime agents. It automatically + handles multiple turns by maintaining a persistent connection with the underlying transport + layer. + + The session manages the local history copy, executes tools, runs guardrails and facilitates + handoffs between agents. + + Since this code runs on your server, it uses WebSockets by default. You can optionally create + your own custom transport layer by implementing the `RealtimeSessionTransport` interface. + """ + + def __init__( + self, + starting_agent: RealtimeAgent, + *, + context: Any | None = None, + transport: Literal["websocket"] | RealtimeSessionTransport = "websocket", + api_key: APIKeyOrKeyFunc | None = None, + model: RealtimeModelName | None = None, + config: RealtimeSessionConfig | None = None, + # TODO (rm) Add guardrail support + # TODO (rm) Add tracing support + # TODO (rm) Add history audio storage config + ) -> None: + """Initialize the realtime session. + + Args: + starting_agent: The agent to start the session with. + context: The context to use for the session. + transport: The transport to use for the session. Defaults to using websockets. + api_key: The API key to use for the session. + model: The model to use. Must be a realtime model. + config: Override parameters to use. + """ + self._current_agent = starting_agent + self._context_wrapper = RunContextWrapper(context) + self._event_info = RealtimeEventInfo(context=self._context_wrapper) + self._override_config = config + self._history: list[RealtimeItem] = [] + self._model = model + self._api_key = api_key + + self._listeners: list[RealtimeSessionListener] = [] + + if transport == "websocket": + self._transport: RealtimeSessionTransport = OpenAIRealtimeWebSocketTransport() + else: + self._transport = transport + + async def __aenter__(self) -> RealtimeSession: + """Async context manager entry.""" + await self.connect() + return self + + async def __aexit__(self, _exc_type: Any, _exc_val: Any, _exc_tb: Any) -> None: + """Async context manager exit.""" + await self.end() + + async def connect(self) -> None: + """Start the session: connect to the model and start the connection.""" + self._transport.add_listener(self) + + config = await self.create_session_config( + overrides=self._override_config, + ) + + options: RealtimeTransportConnectionOptions = { + "initial_session_config": config, + } + + if config.get("api_key") is not None: + options["api_key"] = config["api_key"] + elif self._api_key is not None: + options["api_key"] = self._api_key + + if config.get("model") is not None: + options["model"] = config["model"] + elif self._model is not None: + options["model"] = self._model + + await self._transport.connect(options) + + await self._emit_event( + RealtimeHistoryUpdated( + history=self._history, + info=self._event_info, + ) + ) + + async def end(self) -> None: + """End the session: disconnect from the model and close the connection.""" + pass + + def add_listener(self, listener: RealtimeSessionListener | RealtimeSessionListenerFunc) -> None: + """Add a listener to the session.""" + if isinstance(listener, RealtimeSessionListener): + self._listeners.append(listener) + else: + self._listeners.append(_RealtimeFuncListener(listener)) + + def remove_listener( + self, listener: RealtimeSessionListener | RealtimeSessionListenerFunc + ) -> None: + """Remove a listener from the session.""" + if isinstance(listener, RealtimeSessionListener): + self._listeners.remove(listener) + else: + for x in self._listeners: + if isinstance(x, _RealtimeFuncListener) and x._func == listener: + self._listeners.remove(x) + break + + async def create_session_config( + self, overrides: RealtimeSessionConfig | None = None + ) -> RealtimeSessionConfig: + """Create the session config.""" + agent = self._current_agent + instructions, tools = await asyncio.gather( + agent.get_system_prompt(self._context_wrapper), + agent.get_all_tools(self._context_wrapper), + ) + config = RealtimeSessionConfig() + + if self._model is not None: + config["model"] = self._model + if instructions is not None: + config["instructions"] = instructions + if tools is not None: + config["tools"] = [tool for tool in tools if isinstance(tool, FunctionTool)] + + if overrides: + config.update(overrides) + + return config + + async def send_message(self, message: RealtimeUserInput) -> None: + """Send a message to the model.""" + await self._transport.send_message(message) + + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Send a raw audio chunk to the model.""" + await self._transport.send_audio(audio, commit=commit) + + async def interrupt(self) -> None: + """Interrupt the model.""" + await self._transport.interrupt() + + async def on_event(self, event: RealtimeTransportEvent) -> None: + """Called when an event is emitted by the realtime transport.""" + await self._emit_event(RealtimeRawTransportEvent(data=event, info=self._event_info)) + + if event.type == "error": + await self._emit_event(RealtimeError(info=self._event_info, error=event.error)) + elif event.type == "function_call": + await self._handle_tool_call(event) + elif event.type == "audio": + await self._emit_event(RealtimeAudio(info=self._event_info, audio=event)) + elif event.type == "audio_interrupted": + await self._emit_event(RealtimeAudioInterrupted(info=self._event_info)) + elif event.type == "audio_done": + await self._emit_event(RealtimeAudioEnd(info=self._event_info)) + elif event.type == "conversation.item.input_audio_transcription.completed": + self._history = self._get_new_history(self._history, event) + await self._emit_event( + RealtimeHistoryUpdated(info=self._event_info, history=self._history) + ) + elif event.type == "transcript_delta": + # TODO (rm) Add guardrails + pass + elif event.type == "item_updated": + is_new = any(item.item_id == event.item.item_id for item in self._history) + self._history = self._get_new_history(self._history, event.item) + if is_new: + new_item = next( + item for item in self._history if item.item_id == event.item.item_id + ) + await self._emit_event(RealtimeHistoryAdded(info=self._event_info, item=new_item)) + else: + await self._emit_event( + RealtimeHistoryUpdated(info=self._event_info, history=self._history) + ) + pass + elif event.type == "item_deleted": + deleted_id = event.item_id + self._history = [item for item in self._history if item.item_id != deleted_id] + await self._emit_event( + RealtimeHistoryUpdated(info=self._event_info, history=self._history) + ) + elif event.type == "connection_status": + pass + elif event.type == "turn_started": + await self._emit_event( + RealtimeAgentStartEvent( + agent=self._current_agent, + info=self._event_info, + ) + ) + elif event.type == "turn_ended": + await self._emit_event( + RealtimeAgentEndEvent( + agent=self._current_agent, + info=self._event_info, + ) + ) + elif event.type == "other": + pass + else: + assert_never(event) + + async def _emit_event(self, event: RealtimeSessionEvent) -> None: + """Emit an event to the listeners.""" + await asyncio.gather(*[listener.on_event(event) for listener in self._listeners]) + + async def _handle_tool_call(self, event: RealtimeTransportToolCallEvent) -> None: + all_tools = await self._current_agent.get_all_tools(self._context_wrapper) + function_map = {tool.name: tool for tool in all_tools if isinstance(tool, FunctionTool)} + handoff_map = {tool.name: tool for tool in all_tools if isinstance(tool, Handoff)} + + if event.name in function_map: + await self._emit_event( + RealtimeToolStart( + info=self._event_info, + tool=function_map[event.name], + agent=self._current_agent, + ) + ) + + func_tool = function_map[event.name] + tool_context = ToolContext.from_agent_context(self._context_wrapper, event.call_id) + result = await func_tool.on_invoke_tool(tool_context, event.arguments) + + await self._transport.send_tool_output(event, str(result), True) + + await self._emit_event( + RealtimeToolEnd( + info=self._event_info, + tool=func_tool, + output=result, + agent=self._current_agent, + ) + ) + elif event.name in handoff_map: + # TODO (rm) Add support for handoffs + pass + else: + # TODO (rm) Add error handling + pass + + def _get_new_history( + self, + old_history: list[RealtimeItem], + event: RealtimeTransportInputAudioTranscriptionCompletedEvent | RealtimeItem, + ) -> list[RealtimeItem]: + # Merge transcript into placeholder input_audio message. + if isinstance(event, RealtimeTransportInputAudioTranscriptionCompletedEvent): + new_history: list[RealtimeItem] = [] + for item in old_history: + if item.item_id == event.item_id and item.type == "message" and item.role == "user": + content: list[InputText | InputAudio] = [] + for entry in item.content: + if entry.type == "input_audio": + copied_entry = entry.model_copy(update={"transcript": event.transcript}) + content.append(copied_entry) + else: + content.append(entry) # type: ignore + new_history.append( + item.model_copy(update={"content": content, "status": "completed"}) + ) + else: + new_history.append(item) + return new_history + + # Otherwise it's just a new item + # TODO (rm) Add support for audio storage config + + # If the item already exists, update it + existing_index = next( + (i for i, item in enumerate(old_history) if item.item_id == event.item_id), None + ) + if existing_index is not None: + new_history = old_history.copy() + new_history[existing_index] = event + return new_history + # Otherwise, insert it after the previous_item_id if that is set + elif item.previous_item_id: + # Insert the new item after the previous item + previous_index = next( + (i for i, item in enumerate(old_history) if item.item_id == event.previous_item_id), + None, + ) + if previous_index is not None: + new_history = old_history.copy() + new_history.insert(previous_index + 1, event) + return new_history + # Otherwise, add it to the end + return old_history + [event] diff --git a/tests/realtime/__init__.py b/tests/realtime/__init__.py new file mode 100644 index 000000000..e69de29bb From d2daf91b8ffdab91c85a6520fdd7d1046b9fbbdc Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 13:09:12 -0400 Subject: [PATCH 181/337] [7/n] Demo for realtime --- examples/realtime/demo.py | 101 +++++++++ examples/realtime/ui.py | 271 +++++++++++++++++++++++++ src/agents/realtime/openai_realtime.py | 4 +- uv.lock | 6 +- 4 files changed, 380 insertions(+), 2 deletions(-) create mode 100644 examples/realtime/demo.py create mode 100644 examples/realtime/ui.py diff --git a/examples/realtime/demo.py b/examples/realtime/demo.py new file mode 100644 index 000000000..a2ea96545 --- /dev/null +++ b/examples/realtime/demo.py @@ -0,0 +1,101 @@ +import asyncio +import os +import sys +from typing import TYPE_CHECKING + +import numpy as np + +# Add the current directory to path so we can import ui +sys.path.append(os.path.dirname(os.path.abspath(__file__))) + +from agents import function_tool +from agents.realtime import RealtimeAgent, RealtimeSession, RealtimeSessionEvent + +if TYPE_CHECKING: + from .ui import AppUI +else: + # Try both import styles + try: + # Try relative import first (when used as a package) + from .ui import AppUI + except ImportError: + # Fall back to direct import (when run as a script) + from ui import AppUI + + +@function_tool +def get_weather(city: str) -> str: + """Get the weather in a city.""" + return f"The weather in {city} is sunny." + + +agent = RealtimeAgent( + name="Assistant", + instructions="You always greet the user with 'Top of the morning to you'.", + tools=[get_weather], +) + + +class Example: + def __init__(self) -> None: + self.session = RealtimeSession(agent) + self.ui = AppUI() + self.ui.connected = asyncio.Event() + self.ui.last_audio_item_id = None + # Set the audio callback + self.ui.set_audio_callback(self.on_audio_recorded) + + async def run(self) -> None: + self.session.add_listener(self.on_event) + await self.session.connect() + self.ui.set_is_connected(True) + await self.ui.run_async() + + async def on_audio_recorded(self, audio_bytes: bytes) -> None: + """Called when audio is recorded by the UI.""" + try: + # Send the audio to the session + await self.session.send_audio(audio_bytes) + except Exception as e: + self.ui.log_message(f"Error sending audio: {e}") + + async def on_event(self, event: RealtimeSessionEvent) -> None: + # Display event in the UI + try: + if event.type == "agent_start": + self.ui.add_transcript(f"Agent started: {event.agent.name}") + elif event.type == "agent_end": + self.ui.add_transcript(f"Agent ended: {event.agent.name}") + elif event.type == "handoff": + self.ui.add_transcript( + f"Handoff from {event.from_agent.name} to {event.to_agent.name}" + ) + elif event.type == "tool_start": + self.ui.add_transcript(f"Tool started: {event.tool.name}") + elif event.type == "tool_end": + self.ui.add_transcript(f"Tool ended: {event.tool.name}; output: {event.output}") + elif event.type == "audio_end": + self.ui.add_transcript("Audio ended") + elif event.type == "audio": + np_audio = np.frombuffer(event.audio.data, dtype=np.int16) + self.ui.play_audio(np_audio) + elif event.type == "audio_interrupted": + self.ui.add_transcript("Audio interrupted") + elif event.type == "error": + self.ui.add_transcript(f"Error: {event.error}") + elif event.type == "history_updated": + pass + elif event.type == "history_added": + pass + elif event.type == "raw_transport_event": + self.ui.log_message(f"Raw transport event: {event.data}") + else: + self.ui.log_message(f"Unknown event type: {event.type}") + except Exception as e: + # This can happen if the UI has already exited + self.ui.log_message(f"Event handling error: {str(e)}") + + +if __name__ == "__main__": + example = Example() + asyncio.run(example.run()) diff --git a/examples/realtime/ui.py b/examples/realtime/ui.py new file mode 100644 index 000000000..1ba055835 --- /dev/null +++ b/examples/realtime/ui.py @@ -0,0 +1,271 @@ +from __future__ import annotations + +import asyncio +from collections.abc import Coroutine +from typing import Any, Callable + +import numpy as np +import numpy.typing as npt +import sounddevice as sd +from textual import events +from textual.app import App, ComposeResult +from textual.containers import Container, Horizontal +from textual.reactive import reactive +from textual.widgets import RichLog, Static +from typing_extensions import override + +CHUNK_LENGTH_S = 0.05 # 50ms +SAMPLE_RATE = 24000 +FORMAT = np.int16 +CHANNELS = 1 + + +class Header(Static): + """A header widget.""" + + @override + def render(self) -> str: + return "Realtime Demo" + + +class AudioStatusIndicator(Static): + """A widget that shows the current audio recording status.""" + + is_recording = reactive(False) + + @override + def render(self) -> str: + status = ( + "🔴 Conversation started." + if self.is_recording + else "⚪ Press SPACE to start the conversation (q to quit)" + ) + return status + + +class AppUI(App[None]): + CSS = """ + Screen { + background: #1a1b26; /* Dark blue-grey background */ + } + + Container { + border: double rgb(91, 164, 91); + } + + #input-container { + height: 5; /* Explicit height for input container */ + margin: 1 1; + padding: 1 2; + } + + #bottom-pane { + width: 100%; + height: 82%; /* Reduced to make room for session display */ + border: round rgb(205, 133, 63); + } + + #status-indicator { + height: 3; + content-align: center middle; + background: #2a2b36; + border: solid rgb(91, 164, 91); + margin: 1 1; + } + + #session-display { + height: 3; + content-align: center middle; + background: #2a2b36; + border: solid rgb(91, 164, 91); + margin: 1 1; + } + + #transcripts { + width: 50%; + height: 100%; + border-right: solid rgb(91, 164, 91); + } + + #transcripts-header { + height: 2; + background: #2a2b36; + content-align: center middle; + border-bottom: solid rgb(91, 164, 91); + } + + #transcripts-content { + height: 100%; + } + + #event-log { + width: 50%; + height: 100%; + } + + #event-log-header { + height: 2; + background: #2a2b36; + content-align: center middle; + border-bottom: solid rgb(91, 164, 91); + } + + #event-log-content { + height: 100%; + } + + Static { + color: white; + } + """ + + should_send_audio: asyncio.Event + connected: asyncio.Event + last_audio_item_id: str | None + audio_callback: Callable[[bytes], Coroutine[Any, Any, None]] | None + + def __init__(self) -> None: + super().__init__() + self.audio_player = sd.OutputStream( + samplerate=SAMPLE_RATE, + channels=CHANNELS, + dtype=FORMAT, + ) + self.should_send_audio = asyncio.Event() + self.connected = asyncio.Event() + self.audio_callback = None + + @override + def compose(self) -> ComposeResult: + """Create child widgets for the app.""" + with Container(): + yield Header(id="session-display") + yield AudioStatusIndicator(id="status-indicator") + with Container(id="bottom-pane"): + with Horizontal(): + with Container(id="transcripts"): + yield Static("Conversation transcript", id="transcripts-header") + yield RichLog( + id="transcripts-content", wrap=True, highlight=True, markup=True + ) + with Container(id="event-log"): + yield Static("Raw event log", id="event-log-header") + yield RichLog( + id="event-log-content", wrap=True, highlight=True, markup=True + ) + + def set_is_connected(self, is_connected: bool) -> None: + self.connected.set() if is_connected else self.connected.clear() + + def set_audio_callback(self, callback: Callable[[bytes], Coroutine[Any, Any, None]]) -> None: + """Set a callback function to be called when audio is recorded.""" + self.audio_callback = callback + + # High-level methods for UI operations + def set_header_text(self, text: str) -> None: + """Update the header text.""" + header = self.query_one("#session-display", Header) + header.update(text) + + def set_recording_status(self, is_recording: bool) -> None: + """Set the recording status indicator.""" + status_indicator = self.query_one(AudioStatusIndicator) + status_indicator.is_recording = is_recording + + def log_message(self, message: str) -> None: + """Add a message to the event log.""" + try: + log_pane = self.query_one("#event-log-content", RichLog) + log_pane.write(message) + except Exception: + # Handle the case where the widget might not be available + pass + + def add_transcript(self, message: str) -> None: + """Add a transcript message to the transcripts panel.""" + try: + transcript_pane = self.query_one("#transcripts-content", RichLog) + transcript_pane.write(message) + except Exception: + # Handle the case where the widget might not be available + pass + + def play_audio(self, audio_data: npt.NDArray[np.int16]) -> None: + """Play audio data through the audio player.""" + try: + self.audio_player.write(audio_data) + except Exception as e: + self.log_message(f"Audio play error: {e}") + + async def on_mount(self) -> None: + """Set up audio player and start the audio capture worker.""" + self.audio_player.start() + self.run_worker(self.capture_audio()) + + async def capture_audio(self) -> None: + """Capture audio from the microphone and send to the session.""" + # Wait for connection to be established + await self.connected.wait() + + # Set up audio input stream + stream = sd.InputStream( + channels=CHANNELS, + samplerate=SAMPLE_RATE, + dtype=FORMAT, + ) + + try: + # Wait for user to press spacebar to start + await self.should_send_audio.wait() + + stream.start() + self.set_recording_status(True) + self.log_message("Recording started - speak to the agent") + + # Buffer size in samples + read_size = int(SAMPLE_RATE * CHUNK_LENGTH_S) + + while True: + # Check if there's enough data to read + if stream.read_available < read_size: + await asyncio.sleep(0.01) # Small sleep to avoid CPU hogging + continue + + # Read audio data + data, _ = stream.read(read_size) + + # Convert numpy array to bytes + audio_bytes = data.tobytes() + + # Call audio callback if set + if self.audio_callback: + try: + await self.audio_callback(audio_bytes) + except Exception as e: + self.log_message(f"Audio callback error: {e}") + + # Yield control back to event loop + await asyncio.sleep(0) + + except Exception as e: + self.log_message(f"Audio capture error: {e}") + finally: + if stream.active: + stream.stop() + stream.close() + + async def on_key(self, event: events.Key) -> None: + """Handle key press events.""" + # add the keypress to the log + self.log_message(f"Key pressed: {event.key}") + + if event.key == "q": + self.audio_player.stop() + self.audio_player.close() + self.exit() + return + + if event.key == "space": # Spacebar + if not self.should_send_audio.is_set(): + self.should_send_audio.set() + self.set_recording_status(True) diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 226eaed7d..6dc34bcf1 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -231,7 +231,9 @@ async def _handle_ws_event(self, event: dict[str, Any]): ).validate_python(event) except Exception as e: logger.error(f"Invalid event: {event} - {e}") - await self._emit_event(RealtimeTransportErrorEvent(error=f"Invalid event: {event}")) + await self._emit_event( + RealtimeTransportErrorEvent(error=f"Invalid event: {event} - {e}") + ) return if parsed.type == "response.audio.delta": diff --git a/uv.lock b/uv.lock index d882c9bc5..880116f58 100644 --- a/uv.lock +++ b/uv.lock @@ -1496,6 +1496,9 @@ dependencies = [ litellm = [ { name = "litellm" }, ] +realtime = [ + { name = "websockets" }, +] viz = [ { name = "graphviz" }, ] @@ -1541,9 +1544,10 @@ requires-dist = [ { name = "requests", specifier = ">=2.0,<3" }, { name = "types-requests", specifier = ">=2.0,<3" }, { name = "typing-extensions", specifier = ">=4.12.2,<5" }, + { name = "websockets", marker = "extra == 'realtime'", specifier = ">=15.0,<16" }, { name = "websockets", marker = "extra == 'voice'", specifier = ">=15.0,<16" }, ] -provides-extras = ["voice", "viz", "litellm"] +provides-extras = ["voice", "viz", "litellm", "realtime"] [package.metadata.requires-dev] dev = [ From 755b78a5c95341ae676be863e511afb958dcb5ea Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 14:18:09 -0400 Subject: [PATCH 182/337] [8/n] Make realtime more like the rest of agents sdk Key changes: 1. Transport -> model. 2. Extract any model settings into `RealtimeSessionModelSettings`. 3. RealtimeRunConfig, similar to the RunConfig in `run.py`. Next PR I'll update session to be better. --- src/agents/realtime/__init__.py | 40 ++++++--- src/agents/realtime/config.py | 51 ++++++------ src/agents/realtime/events.py | 6 +- src/agents/realtime/openai_realtime.py | 111 +++++++++++++++---------- src/agents/realtime/session.py | 99 ++++++++++------------ 5 files changed, 169 insertions(+), 138 deletions(-) diff --git a/src/agents/realtime/__init__.py b/src/agents/realtime/__init__.py index 7e5d4932a..d2e258e33 100644 --- a/src/agents/realtime/__init__.py +++ b/src/agents/realtime/__init__.py @@ -1,5 +1,16 @@ from .agent import RealtimeAgent, RealtimeAgentHooks, RealtimeRunHooks -from .config import APIKeyOrKeyFunc +from .config import ( + RealtimeAudioFormat, + RealtimeClientMessage, + RealtimeInputAudioTranscriptionConfig, + RealtimeModelName, + RealtimeRunConfig, + RealtimeSessionModelSettings, + RealtimeTurnDetectionConfig, + RealtimeUserInput, + RealtimeUserInputMessage, + RealtimeUserInputText, +) from .events import ( RealtimeAgentEndEvent, RealtimeAgentStartEvent, @@ -15,13 +26,12 @@ RealtimeToolEnd, RealtimeToolStart, ) -from .session import RealtimeSession -from .transport import ( - RealtimeModelName, - RealtimeSessionTransport, - RealtimeTransportConnectionOptions, - RealtimeTransportListener, +from .model import ( + RealtimeModel, + RealtimeModelConfig, + RealtimeModelListener, ) +from .session import RealtimeSession __all__ = [ "RealtimeAgent", @@ -30,11 +40,19 @@ "RealtimeSession", "RealtimeSessionListener", "RealtimeSessionListenerFunc", - "APIKeyOrKeyFunc", + "RealtimeRunConfig", + "RealtimeSessionModelSettings", + "RealtimeInputAudioTranscriptionConfig", + "RealtimeTurnDetectionConfig", + "RealtimeAudioFormat", + "RealtimeClientMessage", + "RealtimeUserInput", + "RealtimeUserInputMessage", + "RealtimeUserInputText", "RealtimeModelName", - "RealtimeSessionTransport", - "RealtimeTransportListener", - "RealtimeTransportConnectionOptions", + "RealtimeModel", + "RealtimeModelListener", + "RealtimeModelConfig", "RealtimeSessionEvent", "RealtimeAgentStartEvent", "RealtimeAgentEndEvent", diff --git a/src/agents/realtime/config.py b/src/agents/realtime/config.py index aa15c837d..459a03a9a 100644 --- a/src/agents/realtime/config.py +++ b/src/agents/realtime/config.py @@ -1,9 +1,7 @@ from __future__ import annotations -import inspect from typing import ( Any, - Callable, Literal, Union, ) @@ -11,8 +9,20 @@ from typing_extensions import NotRequired, TypeAlias, TypedDict from ..model_settings import ToolChoice -from ..tool import FunctionTool -from ..util._types import MaybeAwaitable +from ..tool import Tool + +RealtimeModelName: TypeAlias = Union[ + Literal[ + "gpt-4o-realtime-preview", + "gpt-4o-mini-realtime-preview", + "gpt-4o-realtime-preview-2025-06-03", + "gpt-4o-realtime-preview-2024-12-17", + "gpt-4o-realtime-preview-2024-10-01", + "gpt-4o-mini-realtime-preview-2024-12-17", + ], + str, +] +"""The name of a realtime model.""" class RealtimeClientMessage(TypedDict): @@ -20,7 +30,7 @@ class RealtimeClientMessage(TypedDict): other_data: NotRequired[dict[str, Any]] -class UserInputText(TypedDict): +class RealtimeUserInputText(TypedDict): type: Literal["input_text"] text: str @@ -28,7 +38,7 @@ class UserInputText(TypedDict): class RealtimeUserInputMessage(TypedDict): type: Literal["message"] role: Literal["user"] - content: list[UserInputText] + content: list[RealtimeUserInputText] RealtimeUserInput: TypeAlias = Union[str, RealtimeUserInputMessage] @@ -55,9 +65,11 @@ class RealtimeTurnDetectionConfig(TypedDict): threshold: NotRequired[float] -class RealtimeSessionConfig(TypedDict): - api_key: NotRequired[APIKeyOrKeyFunc] - model: NotRequired[str] +class RealtimeSessionModelSettings(TypedDict): + """Model settings for a realtime model session.""" + + model_name: NotRequired[RealtimeModelName] + instructions: NotRequired[str] modalities: NotRequired[list[Literal["text", "audio"]]] voice: NotRequired[str] @@ -68,24 +80,13 @@ class RealtimeSessionConfig(TypedDict): turn_detection: NotRequired[RealtimeTurnDetectionConfig] tool_choice: NotRequired[ToolChoice] - tools: NotRequired[list[FunctionTool]] - - -APIKeyOrKeyFunc = str | Callable[[], MaybeAwaitable[str]] -"""Either an API key or a function that returns an API key.""" - + tools: NotRequired[list[Tool]] -async def get_api_key(key: APIKeyOrKeyFunc | None) -> str | None: - """Get the API key from the key or key function.""" - if key is None: - return None - elif isinstance(key, str): - return key - result = key() - if inspect.isawaitable(result): - return await result - return result +class RealtimeRunConfig(TypedDict): + model_settings: NotRequired[RealtimeSessionModelSettings] # TODO (rm) Add tracing support # tracing: NotRequired[RealtimeTracingConfig | None] + # TODO (rm) Add guardrail support + # TODO (rm) Add history audio storage config diff --git a/src/agents/realtime/events.py b/src/agents/realtime/events.py index bd6b7b5b0..c96357e1a 100644 --- a/src/agents/realtime/events.py +++ b/src/agents/realtime/events.py @@ -7,7 +7,7 @@ from ..tool import Tool from .agent import RealtimeAgent from .items import RealtimeItem -from .transport_events import RealtimeTransportAudioEvent, RealtimeTransportEvent +from .model_events import RealtimeModelAudioEvent, RealtimeModelEvent @dataclass @@ -96,7 +96,7 @@ class RealtimeToolEnd: class RealtimeRawTransportEvent: """Forwards raw events from the transport layer.""" - data: RealtimeTransportEvent + data: RealtimeModelEvent """The raw data from the transport layer.""" info: RealtimeEventInfo @@ -119,7 +119,7 @@ class RealtimeAudioEnd: class RealtimeAudio: """Triggered when the agent generates new audio to be played.""" - audio: RealtimeTransportAudioEvent + audio: RealtimeModelAudioEvent """The audio event from the transport layer.""" info: RealtimeEventInfo diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 6dc34bcf1..1806297af 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -1,9 +1,12 @@ +from __future__ import annotations + import asyncio import base64 +import inspect import json import os from datetime import datetime -from typing import Any +from typing import Any, Callable import websockets from openai.types.beta.realtime.realtime_server_event import ( @@ -12,52 +15,72 @@ from pydantic import TypeAdapter from websockets.asyncio.client import ClientConnection +from agents.util._types import MaybeAwaitable + from ..exceptions import UserError from ..logger import logger -from .config import RealtimeClientMessage, RealtimeUserInput, get_api_key +from .config import ( + RealtimeClientMessage, + RealtimeSessionModelSettings, + RealtimeUserInput, +) from .items import RealtimeMessageItem, RealtimeToolCallItem -from .transport import ( - RealtimeSessionTransport, - RealtimeTransportConnectionOptions, - RealtimeTransportListener, +from .model import ( + RealtimeModel, + RealtimeModelConfig, + RealtimeModelListener, ) -from .transport_events import ( - RealtimeTransportAudioDoneEvent, - RealtimeTransportAudioEvent, - RealtimeTransportAudioInterruptedEvent, - RealtimeTransportErrorEvent, - RealtimeTransportEvent, - RealtimeTransportInputAudioTranscriptionCompletedEvent, - RealtimeTransportItemDeletedEvent, - RealtimeTransportItemUpdatedEvent, - RealtimeTransportToolCallEvent, - RealtimeTransportTranscriptDelta, - RealtimeTransportTurnEndedEvent, - RealtimeTransportTurnStartedEvent, +from .model_events import ( + RealtimeModelAudioDoneEvent, + RealtimeModelAudioEvent, + RealtimeModelAudioInterruptedEvent, + RealtimeModelErrorEvent, + RealtimeModelEvent, + RealtimeModelInputAudioTranscriptionCompletedEvent, + RealtimeModelItemDeletedEvent, + RealtimeModelItemUpdatedEvent, + RealtimeModelToolCallEvent, + RealtimeModelTranscriptDeltaEvent, + RealtimeModelTurnEndedEvent, + RealtimeModelTurnStartedEvent, ) -class OpenAIRealtimeWebSocketTransport(RealtimeSessionTransport): +async def get_api_key(key: str | Callable[[], MaybeAwaitable[str]] | None) -> str | None: + if isinstance(key, str): + return key + elif callable(key): + result = key() + if inspect.isawaitable(result): + return await result + return result + + return os.getenv("OPENAI_API_KEY") + + +class OpenAIRealtimeWebSocketTransport(RealtimeModel): """A transport layer for realtime sessions that uses OpenAI's WebSocket API.""" def __init__(self) -> None: self.model = "gpt-4o-realtime-preview" # Default model self._websocket: ClientConnection | None = None self._websocket_task: asyncio.Task[None] | None = None - self._listeners: list[RealtimeTransportListener] = [] + self._listeners: list[RealtimeModelListener] = [] self._current_item_id: str | None = None self._audio_start_time: datetime | None = None self._audio_length_ms: float = 0.0 self._ongoing_response: bool = False self._current_audio_content_index: int | None = None - async def connect(self, options: RealtimeTransportConnectionOptions) -> None: + async def connect(self, options: RealtimeModelConfig) -> None: """Establish a connection to the model and keep it alive.""" assert self._websocket is None, "Already connected" assert self._websocket_task is None, "Already connected" - self.model = options.get("model", self.model) - api_key = await get_api_key(options.get("api_key", os.getenv("OPENAI_API_KEY"))) + model_settings: RealtimeSessionModelSettings = options.get("initial_model_settings", {}) + + self.model = model_settings.get("model_name", self.model) + api_key = await get_api_key(options.get("api_key")) if not api_key: raise UserError("API key is required but was not provided.") @@ -71,15 +94,15 @@ async def connect(self, options: RealtimeTransportConnectionOptions) -> None: self._websocket = await websockets.connect(url, additional_headers=headers) self._websocket_task = asyncio.create_task(self._listen_for_messages()) - def add_listener(self, listener: RealtimeTransportListener) -> None: + def add_listener(self, listener: RealtimeModelListener) -> None: """Add a listener to the transport.""" self._listeners.append(listener) - async def remove_listener(self, listener: RealtimeTransportListener) -> None: + async def remove_listener(self, listener: RealtimeModelListener) -> None: """Remove a listener from the transport.""" self._listeners.remove(listener) - async def _emit_event(self, event: RealtimeTransportEvent) -> None: + async def _emit_event(self, event: RealtimeModelEvent) -> None: """Emit an event to the listeners.""" for listener in self._listeners: await listener.on_event(event) @@ -154,7 +177,7 @@ async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: await self.send_event({"type": "input_audio_buffer.commit"}) async def send_tool_output( - self, tool_call: RealtimeTransportToolCallEvent, output: str, start_response: bool + self, tool_call: RealtimeModelToolCallEvent, output: str, start_response: bool ) -> None: """Send tool output to the model.""" await self.send_event( @@ -179,7 +202,7 @@ async def send_tool_output( name=tool_call.name, output=output, ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=tool_item)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=tool_item)) if start_response: await self.send_event({"type": "response.create"}) @@ -193,7 +216,7 @@ async def interrupt(self) -> None: elapsed_time_ms = (datetime.now() - self._audio_start_time).total_seconds() * 1000 if elapsed_time_ms > 0 and elapsed_time_ms < self._audio_length_ms: - await self._emit_event(RealtimeTransportAudioInterruptedEvent()) + await self._emit_event(RealtimeModelAudioInterruptedEvent()) await self.send_event( { "type": "conversation.item.truncate", @@ -231,9 +254,7 @@ async def _handle_ws_event(self, event: dict[str, Any]): ).validate_python(event) except Exception as e: logger.error(f"Invalid event: {event} - {e}") - await self._emit_event( - RealtimeTransportErrorEvent(error=f"Invalid event: {event} - {e}") - ) + await self._emit_event(RealtimeModelErrorEvent(error=f"Invalid event: {event} - {e}")) return if parsed.type == "response.audio.delta": @@ -247,25 +268,25 @@ async def _handle_ws_event(self, event: dict[str, Any]): # Calculate audio length in ms using 24KHz pcm16le self._audio_length_ms += len(audio_bytes) / 24 / 2 await self._emit_event( - RealtimeTransportAudioEvent(data=audio_bytes, response_id=parsed.response_id) + RealtimeModelAudioEvent(data=audio_bytes, response_id=parsed.response_id) ) elif parsed.type == "response.audio.done": - await self._emit_event(RealtimeTransportAudioDoneEvent()) + await self._emit_event(RealtimeModelAudioDoneEvent()) elif parsed.type == "input_audio_buffer.speech_started": await self.interrupt() elif parsed.type == "response.created": self._ongoing_response = True - await self._emit_event(RealtimeTransportTurnStartedEvent()) + await self._emit_event(RealtimeModelTurnStartedEvent()) elif parsed.type == "response.done": self._ongoing_response = False - await self._emit_event(RealtimeTransportTurnEndedEvent()) + await self._emit_event(RealtimeModelTurnEndedEvent()) elif parsed.type == "session.created": # TODO (rm) tracing stuff here pass elif parsed.type == "error": - await self._emit_event(RealtimeTransportErrorEvent(error=parsed.error)) + await self._emit_event(RealtimeModelErrorEvent(error=parsed.error)) elif parsed.type == "conversation.item.deleted": - await self._emit_event(RealtimeTransportItemDeletedEvent(item_id=parsed.item_id)) + await self._emit_event(RealtimeModelItemDeletedEvent(item_id=parsed.item_id)) elif ( parsed.type == "conversation.item.created" or parsed.type == "conversation.item.retrieved" @@ -284,7 +305,7 @@ async def _handle_ws_event(self, event: dict[str, Any]): "status": "in_progress", } ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=message_item)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=message_item)) elif ( parsed.type == "conversation.item.input_audio_transcription.completed" or parsed.type == "conversation.item.truncated" @@ -299,13 +320,13 @@ async def _handle_ws_event(self, event: dict[str, Any]): ) if parsed.type == "conversation.item.input_audio_transcription.completed": await self._emit_event( - RealtimeTransportInputAudioTranscriptionCompletedEvent( + RealtimeModelInputAudioTranscriptionCompletedEvent( item_id=parsed.item_id, transcript=parsed.transcript ) ) elif parsed.type == "response.audio_transcript.delta": await self._emit_event( - RealtimeTransportTranscriptDelta( + RealtimeModelTranscriptDeltaEvent( item_id=parsed.item_id, delta=parsed.delta, response_id=parsed.response_id ) ) @@ -333,9 +354,9 @@ async def _handle_ws_event(self, event: dict[str, Any]): name=item.name or "", output=None, ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=tool_call)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=tool_call)) await self._emit_event( - RealtimeTransportToolCallEvent( + RealtimeModelToolCallEvent( call_id=item.id or "", name=item.name or "", arguments=item.arguments or "", @@ -352,4 +373,4 @@ async def _handle_ws_event(self, event: dict[str, Any]): "status": "in_progress", } ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=message_item)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=message_item)) diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index fd2a0a3ff..44ec87821 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -10,11 +10,16 @@ from typing_extensions import TypeAlias, assert_never from ..handoffs import Handoff -from ..run_context import RunContextWrapper +from ..run_context import RunContextWrapper, TContext from ..tool import FunctionTool from ..tool_context import ToolContext from .agent import RealtimeAgent -from .config import APIKeyOrKeyFunc, RealtimeSessionConfig, RealtimeUserInput +from .config import ( + RealtimeModelName, + RealtimeRunConfig, + RealtimeSessionModelSettings, + RealtimeUserInput, +) from .events import ( RealtimeAgentEndEvent, RealtimeAgentStartEvent, @@ -32,18 +37,17 @@ RealtimeToolStart, ) from .items import InputAudio, InputText, RealtimeItem -from .openai_realtime import OpenAIRealtimeWebSocketTransport -from .transport import ( - RealtimeModelName, - RealtimeSessionTransport, - RealtimeTransportConnectionOptions, - RealtimeTransportListener, +from .model import ( + RealtimeModel, + RealtimeModelConfig, + RealtimeModelListener, ) -from .transport_events import ( - RealtimeTransportEvent, - RealtimeTransportInputAudioTranscriptionCompletedEvent, - RealtimeTransportToolCallEvent, +from .model_events import ( + RealtimeModelEvent, + RealtimeModelInputAudioTranscriptionCompletedEvent, + RealtimeModelToolCallEvent, ) +from .openai_realtime import OpenAIRealtimeWebSocketTransport class RealtimeSessionListener(abc.ABC): @@ -70,7 +74,7 @@ async def on_event(self, event: RealtimeSessionEvent) -> None: await self._func(event) -class RealtimeSession(RealtimeTransportListener): +class RealtimeSession(RealtimeModelListener): """A `RealtimeSession` is the equivalent of `Runner` for realtime agents. It automatically handles multiple turns by maintaining a persistent connection with the underlying transport layer. @@ -86,14 +90,10 @@ def __init__( self, starting_agent: RealtimeAgent, *, - context: Any | None = None, - transport: Literal["websocket"] | RealtimeSessionTransport = "websocket", - api_key: APIKeyOrKeyFunc | None = None, + context: TContext | None = None, + transport: Literal["websocket"] | RealtimeModel = "websocket", model: RealtimeModelName | None = None, - config: RealtimeSessionConfig | None = None, - # TODO (rm) Add guardrail support - # TODO (rm) Add tracing support - # TODO (rm) Add history audio storage config + config: RealtimeRunConfig | None = None, ) -> None: """Initialize the realtime session. @@ -111,12 +111,11 @@ def __init__( self._override_config = config self._history: list[RealtimeItem] = [] self._model = model - self._api_key = api_key self._listeners: list[RealtimeSessionListener] = [] if transport == "websocket": - self._transport: RealtimeSessionTransport = OpenAIRealtimeWebSocketTransport() + self._transport: RealtimeModel = OpenAIRealtimeWebSocketTransport() else: self._transport = transport @@ -129,29 +128,21 @@ async def __aexit__(self, _exc_type: Any, _exc_val: Any, _exc_tb: Any) -> None: """Async context manager exit.""" await self.end() - async def connect(self) -> None: + async def connect(self, *, model_config: RealtimeModelConfig | None = None) -> None: """Start the session: connect to the model and start the connection.""" self._transport.add_listener(self) - config = await self.create_session_config( - overrides=self._override_config, + model_settings = await self._get_model_settings( + initial_settings=model_config.get("initial_model_settings") if model_config else None, + overrides=self._override_config.get("model_settings") + if self._override_config + else None, ) - options: RealtimeTransportConnectionOptions = { - "initial_session_config": config, - } + model_config = model_config.copy() if model_config else {} + model_config["initial_model_settings"] = model_settings - if config.get("api_key") is not None: - options["api_key"] = config["api_key"] - elif self._api_key is not None: - options["api_key"] = self._api_key - - if config.get("model") is not None: - options["model"] = config["model"] - elif self._model is not None: - options["model"] = self._model - - await self._transport.connect(options) + await self._transport.connect(model_config) await self._emit_event( RealtimeHistoryUpdated( @@ -183,28 +174,28 @@ def remove_listener( self._listeners.remove(x) break - async def create_session_config( - self, overrides: RealtimeSessionConfig | None = None - ) -> RealtimeSessionConfig: - """Create the session config.""" + async def _get_model_settings( + self, + initial_settings: RealtimeSessionModelSettings | None = None, + overrides: RealtimeSessionModelSettings | None = None, + ) -> RealtimeSessionModelSettings: + model_settings = initial_settings.copy() if initial_settings else {} + agent = self._current_agent instructions, tools = await asyncio.gather( agent.get_system_prompt(self._context_wrapper), agent.get_all_tools(self._context_wrapper), ) - config = RealtimeSessionConfig() - if self._model is not None: - config["model"] = self._model if instructions is not None: - config["instructions"] = instructions + model_settings["instructions"] = instructions if tools is not None: - config["tools"] = [tool for tool in tools if isinstance(tool, FunctionTool)] + model_settings["tools"] = tools if overrides: - config.update(overrides) + model_settings.update(overrides) - return config + return model_settings async def send_message(self, message: RealtimeUserInput) -> None: """Send a message to the model.""" @@ -218,7 +209,7 @@ async def interrupt(self) -> None: """Interrupt the model.""" await self._transport.interrupt() - async def on_event(self, event: RealtimeTransportEvent) -> None: + async def on_event(self, event: RealtimeModelEvent) -> None: """Called when an event is emitted by the realtime transport.""" await self._emit_event(RealtimeRawTransportEvent(data=event, info=self._event_info)) @@ -284,7 +275,7 @@ async def _emit_event(self, event: RealtimeSessionEvent) -> None: """Emit an event to the listeners.""" await asyncio.gather(*[listener.on_event(event) for listener in self._listeners]) - async def _handle_tool_call(self, event: RealtimeTransportToolCallEvent) -> None: + async def _handle_tool_call(self, event: RealtimeModelToolCallEvent) -> None: all_tools = await self._current_agent.get_all_tools(self._context_wrapper) function_map = {tool.name: tool for tool in all_tools if isinstance(tool, FunctionTool)} handoff_map = {tool.name: tool for tool in all_tools if isinstance(tool, Handoff)} @@ -322,10 +313,10 @@ async def _handle_tool_call(self, event: RealtimeTransportToolCallEvent) -> None def _get_new_history( self, old_history: list[RealtimeItem], - event: RealtimeTransportInputAudioTranscriptionCompletedEvent | RealtimeItem, + event: RealtimeModelInputAudioTranscriptionCompletedEvent | RealtimeItem, ) -> list[RealtimeItem]: # Merge transcript into placeholder input_audio message. - if isinstance(event, RealtimeTransportInputAudioTranscriptionCompletedEvent): + if isinstance(event, RealtimeModelInputAudioTranscriptionCompletedEvent): new_history: list[RealtimeItem] = [] for item in old_history: if item.item_id == event.item_id and item.type == "message" and item.role == "user": From 70db10a8d203e5cbf48e2d216eb6f303bd90a5f7 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 15:14:01 -0400 Subject: [PATCH 183/337] [7/n] Demo for realtime --- examples/realtime/demo.py | 101 +++++++++ examples/realtime/ui.py | 271 +++++++++++++++++++++++++ src/agents/realtime/openai_realtime.py | 4 +- uv.lock | 6 +- 4 files changed, 380 insertions(+), 2 deletions(-) create mode 100644 examples/realtime/demo.py create mode 100644 examples/realtime/ui.py diff --git a/examples/realtime/demo.py b/examples/realtime/demo.py new file mode 100644 index 000000000..a2ea96545 --- /dev/null +++ b/examples/realtime/demo.py @@ -0,0 +1,101 @@ +import asyncio +import os +import sys +from typing import TYPE_CHECKING + +import numpy as np + +# Add the current directory to path so we can import ui +sys.path.append(os.path.dirname(os.path.abspath(__file__))) + +from agents import function_tool +from agents.realtime import RealtimeAgent, RealtimeSession, RealtimeSessionEvent + +if TYPE_CHECKING: + from .ui import AppUI +else: + # Try both import styles + try: + # Try relative import first (when used as a package) + from .ui import AppUI + except ImportError: + # Fall back to direct import (when run as a script) + from ui import AppUI + + +@function_tool +def get_weather(city: str) -> str: + """Get the weather in a city.""" + return f"The weather in {city} is sunny." + + +agent = RealtimeAgent( + name="Assistant", + instructions="You always greet the user with 'Top of the morning to you'.", + tools=[get_weather], +) + + +class Example: + def __init__(self) -> None: + self.session = RealtimeSession(agent) + self.ui = AppUI() + self.ui.connected = asyncio.Event() + self.ui.last_audio_item_id = None + # Set the audio callback + self.ui.set_audio_callback(self.on_audio_recorded) + + async def run(self) -> None: + self.session.add_listener(self.on_event) + await self.session.connect() + self.ui.set_is_connected(True) + await self.ui.run_async() + + async def on_audio_recorded(self, audio_bytes: bytes) -> None: + """Called when audio is recorded by the UI.""" + try: + # Send the audio to the session + await self.session.send_audio(audio_bytes) + except Exception as e: + self.ui.log_message(f"Error sending audio: {e}") + + async def on_event(self, event: RealtimeSessionEvent) -> None: + # Display event in the UI + try: + if event.type == "agent_start": + self.ui.add_transcript(f"Agent started: {event.agent.name}") + elif event.type == "agent_end": + self.ui.add_transcript(f"Agent ended: {event.agent.name}") + elif event.type == "handoff": + self.ui.add_transcript( + f"Handoff from {event.from_agent.name} to {event.to_agent.name}" + ) + elif event.type == "tool_start": + self.ui.add_transcript(f"Tool started: {event.tool.name}") + elif event.type == "tool_end": + self.ui.add_transcript(f"Tool ended: {event.tool.name}; output: {event.output}") + elif event.type == "audio_end": + self.ui.add_transcript("Audio ended") + elif event.type == "audio": + np_audio = np.frombuffer(event.audio.data, dtype=np.int16) + self.ui.play_audio(np_audio) + elif event.type == "audio_interrupted": + self.ui.add_transcript("Audio interrupted") + elif event.type == "error": + self.ui.add_transcript(f"Error: {event.error}") + elif event.type == "history_updated": + pass + elif event.type == "history_added": + pass + elif event.type == "raw_transport_event": + self.ui.log_message(f"Raw transport event: {event.data}") + else: + self.ui.log_message(f"Unknown event type: {event.type}") + except Exception as e: + # This can happen if the UI has already exited + self.ui.log_message(f"Event handling error: {str(e)}") + + +if __name__ == "__main__": + example = Example() + asyncio.run(example.run()) diff --git a/examples/realtime/ui.py b/examples/realtime/ui.py new file mode 100644 index 000000000..1ba055835 --- /dev/null +++ b/examples/realtime/ui.py @@ -0,0 +1,271 @@ +from __future__ import annotations + +import asyncio +from collections.abc import Coroutine +from typing import Any, Callable + +import numpy as np +import numpy.typing as npt +import sounddevice as sd +from textual import events +from textual.app import App, ComposeResult +from textual.containers import Container, Horizontal +from textual.reactive import reactive +from textual.widgets import RichLog, Static +from typing_extensions import override + +CHUNK_LENGTH_S = 0.05 # 50ms +SAMPLE_RATE = 24000 +FORMAT = np.int16 +CHANNELS = 1 + + +class Header(Static): + """A header widget.""" + + @override + def render(self) -> str: + return "Realtime Demo" + + +class AudioStatusIndicator(Static): + """A widget that shows the current audio recording status.""" + + is_recording = reactive(False) + + @override + def render(self) -> str: + status = ( + "🔴 Conversation started." + if self.is_recording + else "⚪ Press SPACE to start the conversation (q to quit)" + ) + return status + + +class AppUI(App[None]): + CSS = """ + Screen { + background: #1a1b26; /* Dark blue-grey background */ + } + + Container { + border: double rgb(91, 164, 91); + } + + #input-container { + height: 5; /* Explicit height for input container */ + margin: 1 1; + padding: 1 2; + } + + #bottom-pane { + width: 100%; + height: 82%; /* Reduced to make room for session display */ + border: round rgb(205, 133, 63); + } + + #status-indicator { + height: 3; + content-align: center middle; + background: #2a2b36; + border: solid rgb(91, 164, 91); + margin: 1 1; + } + + #session-display { + height: 3; + content-align: center middle; + background: #2a2b36; + border: solid rgb(91, 164, 91); + margin: 1 1; + } + + #transcripts { + width: 50%; + height: 100%; + border-right: solid rgb(91, 164, 91); + } + + #transcripts-header { + height: 2; + background: #2a2b36; + content-align: center middle; + border-bottom: solid rgb(91, 164, 91); + } + + #transcripts-content { + height: 100%; + } + + #event-log { + width: 50%; + height: 100%; + } + + #event-log-header { + height: 2; + background: #2a2b36; + content-align: center middle; + border-bottom: solid rgb(91, 164, 91); + } + + #event-log-content { + height: 100%; + } + + Static { + color: white; + } + """ + + should_send_audio: asyncio.Event + connected: asyncio.Event + last_audio_item_id: str | None + audio_callback: Callable[[bytes], Coroutine[Any, Any, None]] | None + + def __init__(self) -> None: + super().__init__() + self.audio_player = sd.OutputStream( + samplerate=SAMPLE_RATE, + channels=CHANNELS, + dtype=FORMAT, + ) + self.should_send_audio = asyncio.Event() + self.connected = asyncio.Event() + self.audio_callback = None + + @override + def compose(self) -> ComposeResult: + """Create child widgets for the app.""" + with Container(): + yield Header(id="session-display") + yield AudioStatusIndicator(id="status-indicator") + with Container(id="bottom-pane"): + with Horizontal(): + with Container(id="transcripts"): + yield Static("Conversation transcript", id="transcripts-header") + yield RichLog( + id="transcripts-content", wrap=True, highlight=True, markup=True + ) + with Container(id="event-log"): + yield Static("Raw event log", id="event-log-header") + yield RichLog( + id="event-log-content", wrap=True, highlight=True, markup=True + ) + + def set_is_connected(self, is_connected: bool) -> None: + self.connected.set() if is_connected else self.connected.clear() + + def set_audio_callback(self, callback: Callable[[bytes], Coroutine[Any, Any, None]]) -> None: + """Set a callback function to be called when audio is recorded.""" + self.audio_callback = callback + + # High-level methods for UI operations + def set_header_text(self, text: str) -> None: + """Update the header text.""" + header = self.query_one("#session-display", Header) + header.update(text) + + def set_recording_status(self, is_recording: bool) -> None: + """Set the recording status indicator.""" + status_indicator = self.query_one(AudioStatusIndicator) + status_indicator.is_recording = is_recording + + def log_message(self, message: str) -> None: + """Add a message to the event log.""" + try: + log_pane = self.query_one("#event-log-content", RichLog) + log_pane.write(message) + except Exception: + # Handle the case where the widget might not be available + pass + + def add_transcript(self, message: str) -> None: + """Add a transcript message to the transcripts panel.""" + try: + transcript_pane = self.query_one("#transcripts-content", RichLog) + transcript_pane.write(message) + except Exception: + # Handle the case where the widget might not be available + pass + + def play_audio(self, audio_data: npt.NDArray[np.int16]) -> None: + """Play audio data through the audio player.""" + try: + self.audio_player.write(audio_data) + except Exception as e: + self.log_message(f"Audio play error: {e}") + + async def on_mount(self) -> None: + """Set up audio player and start the audio capture worker.""" + self.audio_player.start() + self.run_worker(self.capture_audio()) + + async def capture_audio(self) -> None: + """Capture audio from the microphone and send to the session.""" + # Wait for connection to be established + await self.connected.wait() + + # Set up audio input stream + stream = sd.InputStream( + channels=CHANNELS, + samplerate=SAMPLE_RATE, + dtype=FORMAT, + ) + + try: + # Wait for user to press spacebar to start + await self.should_send_audio.wait() + + stream.start() + self.set_recording_status(True) + self.log_message("Recording started - speak to the agent") + + # Buffer size in samples + read_size = int(SAMPLE_RATE * CHUNK_LENGTH_S) + + while True: + # Check if there's enough data to read + if stream.read_available < read_size: + await asyncio.sleep(0.01) # Small sleep to avoid CPU hogging + continue + + # Read audio data + data, _ = stream.read(read_size) + + # Convert numpy array to bytes + audio_bytes = data.tobytes() + + # Call audio callback if set + if self.audio_callback: + try: + await self.audio_callback(audio_bytes) + except Exception as e: + self.log_message(f"Audio callback error: {e}") + + # Yield control back to event loop + await asyncio.sleep(0) + + except Exception as e: + self.log_message(f"Audio capture error: {e}") + finally: + if stream.active: + stream.stop() + stream.close() + + async def on_key(self, event: events.Key) -> None: + """Handle key press events.""" + # add the keypress to the log + self.log_message(f"Key pressed: {event.key}") + + if event.key == "q": + self.audio_player.stop() + self.audio_player.close() + self.exit() + return + + if event.key == "space": # Spacebar + if not self.should_send_audio.is_set(): + self.should_send_audio.set() + self.set_recording_status(True) diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 226eaed7d..6dc34bcf1 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -231,7 +231,9 @@ async def _handle_ws_event(self, event: dict[str, Any]): ).validate_python(event) except Exception as e: logger.error(f"Invalid event: {event} - {e}") - await self._emit_event(RealtimeTransportErrorEvent(error=f"Invalid event: {event}")) + await self._emit_event( + RealtimeTransportErrorEvent(error=f"Invalid event: {event} - {e}") + ) return if parsed.type == "response.audio.delta": diff --git a/uv.lock b/uv.lock index d882c9bc5..880116f58 100644 --- a/uv.lock +++ b/uv.lock @@ -1496,6 +1496,9 @@ dependencies = [ litellm = [ { name = "litellm" }, ] +realtime = [ + { name = "websockets" }, +] viz = [ { name = "graphviz" }, ] @@ -1541,9 +1544,10 @@ requires-dist = [ { name = "requests", specifier = ">=2.0,<3" }, { name = "types-requests", specifier = ">=2.0,<3" }, { name = "typing-extensions", specifier = ">=4.12.2,<5" }, + { name = "websockets", marker = "extra == 'realtime'", specifier = ">=15.0,<16" }, { name = "websockets", marker = "extra == 'voice'", specifier = ">=15.0,<16" }, ] -provides-extras = ["voice", "viz", "litellm"] +provides-extras = ["voice", "viz", "litellm", "realtime"] [package.metadata.requires-dev] dev = [ From a22bade6f6df480ebd3e778185161c7d4b57736f Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 15:14:01 -0400 Subject: [PATCH 184/337] [8/n] Make realtime more like the rest of agents sdk Key changes: 1. Transport -> model. 2. Extract any model settings into `RealtimeSessionModelSettings`. 3. RealtimeRunConfig, similar to the RunConfig in `run.py`. Next PR I'll update session to be better. --- src/agents/realtime/__init__.py | 40 ++++++--- src/agents/realtime/config.py | 51 ++++++------ src/agents/realtime/events.py | 6 +- src/agents/realtime/openai_realtime.py | 111 +++++++++++++++---------- src/agents/realtime/session.py | 99 ++++++++++------------ 5 files changed, 169 insertions(+), 138 deletions(-) diff --git a/src/agents/realtime/__init__.py b/src/agents/realtime/__init__.py index 7e5d4932a..d2e258e33 100644 --- a/src/agents/realtime/__init__.py +++ b/src/agents/realtime/__init__.py @@ -1,5 +1,16 @@ from .agent import RealtimeAgent, RealtimeAgentHooks, RealtimeRunHooks -from .config import APIKeyOrKeyFunc +from .config import ( + RealtimeAudioFormat, + RealtimeClientMessage, + RealtimeInputAudioTranscriptionConfig, + RealtimeModelName, + RealtimeRunConfig, + RealtimeSessionModelSettings, + RealtimeTurnDetectionConfig, + RealtimeUserInput, + RealtimeUserInputMessage, + RealtimeUserInputText, +) from .events import ( RealtimeAgentEndEvent, RealtimeAgentStartEvent, @@ -15,13 +26,12 @@ RealtimeToolEnd, RealtimeToolStart, ) -from .session import RealtimeSession -from .transport import ( - RealtimeModelName, - RealtimeSessionTransport, - RealtimeTransportConnectionOptions, - RealtimeTransportListener, +from .model import ( + RealtimeModel, + RealtimeModelConfig, + RealtimeModelListener, ) +from .session import RealtimeSession __all__ = [ "RealtimeAgent", @@ -30,11 +40,19 @@ "RealtimeSession", "RealtimeSessionListener", "RealtimeSessionListenerFunc", - "APIKeyOrKeyFunc", + "RealtimeRunConfig", + "RealtimeSessionModelSettings", + "RealtimeInputAudioTranscriptionConfig", + "RealtimeTurnDetectionConfig", + "RealtimeAudioFormat", + "RealtimeClientMessage", + "RealtimeUserInput", + "RealtimeUserInputMessage", + "RealtimeUserInputText", "RealtimeModelName", - "RealtimeSessionTransport", - "RealtimeTransportListener", - "RealtimeTransportConnectionOptions", + "RealtimeModel", + "RealtimeModelListener", + "RealtimeModelConfig", "RealtimeSessionEvent", "RealtimeAgentStartEvent", "RealtimeAgentEndEvent", diff --git a/src/agents/realtime/config.py b/src/agents/realtime/config.py index aa15c837d..459a03a9a 100644 --- a/src/agents/realtime/config.py +++ b/src/agents/realtime/config.py @@ -1,9 +1,7 @@ from __future__ import annotations -import inspect from typing import ( Any, - Callable, Literal, Union, ) @@ -11,8 +9,20 @@ from typing_extensions import NotRequired, TypeAlias, TypedDict from ..model_settings import ToolChoice -from ..tool import FunctionTool -from ..util._types import MaybeAwaitable +from ..tool import Tool + +RealtimeModelName: TypeAlias = Union[ + Literal[ + "gpt-4o-realtime-preview", + "gpt-4o-mini-realtime-preview", + "gpt-4o-realtime-preview-2025-06-03", + "gpt-4o-realtime-preview-2024-12-17", + "gpt-4o-realtime-preview-2024-10-01", + "gpt-4o-mini-realtime-preview-2024-12-17", + ], + str, +] +"""The name of a realtime model.""" class RealtimeClientMessage(TypedDict): @@ -20,7 +30,7 @@ class RealtimeClientMessage(TypedDict): other_data: NotRequired[dict[str, Any]] -class UserInputText(TypedDict): +class RealtimeUserInputText(TypedDict): type: Literal["input_text"] text: str @@ -28,7 +38,7 @@ class UserInputText(TypedDict): class RealtimeUserInputMessage(TypedDict): type: Literal["message"] role: Literal["user"] - content: list[UserInputText] + content: list[RealtimeUserInputText] RealtimeUserInput: TypeAlias = Union[str, RealtimeUserInputMessage] @@ -55,9 +65,11 @@ class RealtimeTurnDetectionConfig(TypedDict): threshold: NotRequired[float] -class RealtimeSessionConfig(TypedDict): - api_key: NotRequired[APIKeyOrKeyFunc] - model: NotRequired[str] +class RealtimeSessionModelSettings(TypedDict): + """Model settings for a realtime model session.""" + + model_name: NotRequired[RealtimeModelName] + instructions: NotRequired[str] modalities: NotRequired[list[Literal["text", "audio"]]] voice: NotRequired[str] @@ -68,24 +80,13 @@ class RealtimeSessionConfig(TypedDict): turn_detection: NotRequired[RealtimeTurnDetectionConfig] tool_choice: NotRequired[ToolChoice] - tools: NotRequired[list[FunctionTool]] - - -APIKeyOrKeyFunc = str | Callable[[], MaybeAwaitable[str]] -"""Either an API key or a function that returns an API key.""" - + tools: NotRequired[list[Tool]] -async def get_api_key(key: APIKeyOrKeyFunc | None) -> str | None: - """Get the API key from the key or key function.""" - if key is None: - return None - elif isinstance(key, str): - return key - result = key() - if inspect.isawaitable(result): - return await result - return result +class RealtimeRunConfig(TypedDict): + model_settings: NotRequired[RealtimeSessionModelSettings] # TODO (rm) Add tracing support # tracing: NotRequired[RealtimeTracingConfig | None] + # TODO (rm) Add guardrail support + # TODO (rm) Add history audio storage config diff --git a/src/agents/realtime/events.py b/src/agents/realtime/events.py index bd6b7b5b0..c96357e1a 100644 --- a/src/agents/realtime/events.py +++ b/src/agents/realtime/events.py @@ -7,7 +7,7 @@ from ..tool import Tool from .agent import RealtimeAgent from .items import RealtimeItem -from .transport_events import RealtimeTransportAudioEvent, RealtimeTransportEvent +from .model_events import RealtimeModelAudioEvent, RealtimeModelEvent @dataclass @@ -96,7 +96,7 @@ class RealtimeToolEnd: class RealtimeRawTransportEvent: """Forwards raw events from the transport layer.""" - data: RealtimeTransportEvent + data: RealtimeModelEvent """The raw data from the transport layer.""" info: RealtimeEventInfo @@ -119,7 +119,7 @@ class RealtimeAudioEnd: class RealtimeAudio: """Triggered when the agent generates new audio to be played.""" - audio: RealtimeTransportAudioEvent + audio: RealtimeModelAudioEvent """The audio event from the transport layer.""" info: RealtimeEventInfo diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 6dc34bcf1..1806297af 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -1,9 +1,12 @@ +from __future__ import annotations + import asyncio import base64 +import inspect import json import os from datetime import datetime -from typing import Any +from typing import Any, Callable import websockets from openai.types.beta.realtime.realtime_server_event import ( @@ -12,52 +15,72 @@ from pydantic import TypeAdapter from websockets.asyncio.client import ClientConnection +from agents.util._types import MaybeAwaitable + from ..exceptions import UserError from ..logger import logger -from .config import RealtimeClientMessage, RealtimeUserInput, get_api_key +from .config import ( + RealtimeClientMessage, + RealtimeSessionModelSettings, + RealtimeUserInput, +) from .items import RealtimeMessageItem, RealtimeToolCallItem -from .transport import ( - RealtimeSessionTransport, - RealtimeTransportConnectionOptions, - RealtimeTransportListener, +from .model import ( + RealtimeModel, + RealtimeModelConfig, + RealtimeModelListener, ) -from .transport_events import ( - RealtimeTransportAudioDoneEvent, - RealtimeTransportAudioEvent, - RealtimeTransportAudioInterruptedEvent, - RealtimeTransportErrorEvent, - RealtimeTransportEvent, - RealtimeTransportInputAudioTranscriptionCompletedEvent, - RealtimeTransportItemDeletedEvent, - RealtimeTransportItemUpdatedEvent, - RealtimeTransportToolCallEvent, - RealtimeTransportTranscriptDelta, - RealtimeTransportTurnEndedEvent, - RealtimeTransportTurnStartedEvent, +from .model_events import ( + RealtimeModelAudioDoneEvent, + RealtimeModelAudioEvent, + RealtimeModelAudioInterruptedEvent, + RealtimeModelErrorEvent, + RealtimeModelEvent, + RealtimeModelInputAudioTranscriptionCompletedEvent, + RealtimeModelItemDeletedEvent, + RealtimeModelItemUpdatedEvent, + RealtimeModelToolCallEvent, + RealtimeModelTranscriptDeltaEvent, + RealtimeModelTurnEndedEvent, + RealtimeModelTurnStartedEvent, ) -class OpenAIRealtimeWebSocketTransport(RealtimeSessionTransport): +async def get_api_key(key: str | Callable[[], MaybeAwaitable[str]] | None) -> str | None: + if isinstance(key, str): + return key + elif callable(key): + result = key() + if inspect.isawaitable(result): + return await result + return result + + return os.getenv("OPENAI_API_KEY") + + +class OpenAIRealtimeWebSocketTransport(RealtimeModel): """A transport layer for realtime sessions that uses OpenAI's WebSocket API.""" def __init__(self) -> None: self.model = "gpt-4o-realtime-preview" # Default model self._websocket: ClientConnection | None = None self._websocket_task: asyncio.Task[None] | None = None - self._listeners: list[RealtimeTransportListener] = [] + self._listeners: list[RealtimeModelListener] = [] self._current_item_id: str | None = None self._audio_start_time: datetime | None = None self._audio_length_ms: float = 0.0 self._ongoing_response: bool = False self._current_audio_content_index: int | None = None - async def connect(self, options: RealtimeTransportConnectionOptions) -> None: + async def connect(self, options: RealtimeModelConfig) -> None: """Establish a connection to the model and keep it alive.""" assert self._websocket is None, "Already connected" assert self._websocket_task is None, "Already connected" - self.model = options.get("model", self.model) - api_key = await get_api_key(options.get("api_key", os.getenv("OPENAI_API_KEY"))) + model_settings: RealtimeSessionModelSettings = options.get("initial_model_settings", {}) + + self.model = model_settings.get("model_name", self.model) + api_key = await get_api_key(options.get("api_key")) if not api_key: raise UserError("API key is required but was not provided.") @@ -71,15 +94,15 @@ async def connect(self, options: RealtimeTransportConnectionOptions) -> None: self._websocket = await websockets.connect(url, additional_headers=headers) self._websocket_task = asyncio.create_task(self._listen_for_messages()) - def add_listener(self, listener: RealtimeTransportListener) -> None: + def add_listener(self, listener: RealtimeModelListener) -> None: """Add a listener to the transport.""" self._listeners.append(listener) - async def remove_listener(self, listener: RealtimeTransportListener) -> None: + async def remove_listener(self, listener: RealtimeModelListener) -> None: """Remove a listener from the transport.""" self._listeners.remove(listener) - async def _emit_event(self, event: RealtimeTransportEvent) -> None: + async def _emit_event(self, event: RealtimeModelEvent) -> None: """Emit an event to the listeners.""" for listener in self._listeners: await listener.on_event(event) @@ -154,7 +177,7 @@ async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: await self.send_event({"type": "input_audio_buffer.commit"}) async def send_tool_output( - self, tool_call: RealtimeTransportToolCallEvent, output: str, start_response: bool + self, tool_call: RealtimeModelToolCallEvent, output: str, start_response: bool ) -> None: """Send tool output to the model.""" await self.send_event( @@ -179,7 +202,7 @@ async def send_tool_output( name=tool_call.name, output=output, ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=tool_item)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=tool_item)) if start_response: await self.send_event({"type": "response.create"}) @@ -193,7 +216,7 @@ async def interrupt(self) -> None: elapsed_time_ms = (datetime.now() - self._audio_start_time).total_seconds() * 1000 if elapsed_time_ms > 0 and elapsed_time_ms < self._audio_length_ms: - await self._emit_event(RealtimeTransportAudioInterruptedEvent()) + await self._emit_event(RealtimeModelAudioInterruptedEvent()) await self.send_event( { "type": "conversation.item.truncate", @@ -231,9 +254,7 @@ async def _handle_ws_event(self, event: dict[str, Any]): ).validate_python(event) except Exception as e: logger.error(f"Invalid event: {event} - {e}") - await self._emit_event( - RealtimeTransportErrorEvent(error=f"Invalid event: {event} - {e}") - ) + await self._emit_event(RealtimeModelErrorEvent(error=f"Invalid event: {event} - {e}")) return if parsed.type == "response.audio.delta": @@ -247,25 +268,25 @@ async def _handle_ws_event(self, event: dict[str, Any]): # Calculate audio length in ms using 24KHz pcm16le self._audio_length_ms += len(audio_bytes) / 24 / 2 await self._emit_event( - RealtimeTransportAudioEvent(data=audio_bytes, response_id=parsed.response_id) + RealtimeModelAudioEvent(data=audio_bytes, response_id=parsed.response_id) ) elif parsed.type == "response.audio.done": - await self._emit_event(RealtimeTransportAudioDoneEvent()) + await self._emit_event(RealtimeModelAudioDoneEvent()) elif parsed.type == "input_audio_buffer.speech_started": await self.interrupt() elif parsed.type == "response.created": self._ongoing_response = True - await self._emit_event(RealtimeTransportTurnStartedEvent()) + await self._emit_event(RealtimeModelTurnStartedEvent()) elif parsed.type == "response.done": self._ongoing_response = False - await self._emit_event(RealtimeTransportTurnEndedEvent()) + await self._emit_event(RealtimeModelTurnEndedEvent()) elif parsed.type == "session.created": # TODO (rm) tracing stuff here pass elif parsed.type == "error": - await self._emit_event(RealtimeTransportErrorEvent(error=parsed.error)) + await self._emit_event(RealtimeModelErrorEvent(error=parsed.error)) elif parsed.type == "conversation.item.deleted": - await self._emit_event(RealtimeTransportItemDeletedEvent(item_id=parsed.item_id)) + await self._emit_event(RealtimeModelItemDeletedEvent(item_id=parsed.item_id)) elif ( parsed.type == "conversation.item.created" or parsed.type == "conversation.item.retrieved" @@ -284,7 +305,7 @@ async def _handle_ws_event(self, event: dict[str, Any]): "status": "in_progress", } ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=message_item)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=message_item)) elif ( parsed.type == "conversation.item.input_audio_transcription.completed" or parsed.type == "conversation.item.truncated" @@ -299,13 +320,13 @@ async def _handle_ws_event(self, event: dict[str, Any]): ) if parsed.type == "conversation.item.input_audio_transcription.completed": await self._emit_event( - RealtimeTransportInputAudioTranscriptionCompletedEvent( + RealtimeModelInputAudioTranscriptionCompletedEvent( item_id=parsed.item_id, transcript=parsed.transcript ) ) elif parsed.type == "response.audio_transcript.delta": await self._emit_event( - RealtimeTransportTranscriptDelta( + RealtimeModelTranscriptDeltaEvent( item_id=parsed.item_id, delta=parsed.delta, response_id=parsed.response_id ) ) @@ -333,9 +354,9 @@ async def _handle_ws_event(self, event: dict[str, Any]): name=item.name or "", output=None, ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=tool_call)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=tool_call)) await self._emit_event( - RealtimeTransportToolCallEvent( + RealtimeModelToolCallEvent( call_id=item.id or "", name=item.name or "", arguments=item.arguments or "", @@ -352,4 +373,4 @@ async def _handle_ws_event(self, event: dict[str, Any]): "status": "in_progress", } ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=message_item)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=message_item)) diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index fd2a0a3ff..44ec87821 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -10,11 +10,16 @@ from typing_extensions import TypeAlias, assert_never from ..handoffs import Handoff -from ..run_context import RunContextWrapper +from ..run_context import RunContextWrapper, TContext from ..tool import FunctionTool from ..tool_context import ToolContext from .agent import RealtimeAgent -from .config import APIKeyOrKeyFunc, RealtimeSessionConfig, RealtimeUserInput +from .config import ( + RealtimeModelName, + RealtimeRunConfig, + RealtimeSessionModelSettings, + RealtimeUserInput, +) from .events import ( RealtimeAgentEndEvent, RealtimeAgentStartEvent, @@ -32,18 +37,17 @@ RealtimeToolStart, ) from .items import InputAudio, InputText, RealtimeItem -from .openai_realtime import OpenAIRealtimeWebSocketTransport -from .transport import ( - RealtimeModelName, - RealtimeSessionTransport, - RealtimeTransportConnectionOptions, - RealtimeTransportListener, +from .model import ( + RealtimeModel, + RealtimeModelConfig, + RealtimeModelListener, ) -from .transport_events import ( - RealtimeTransportEvent, - RealtimeTransportInputAudioTranscriptionCompletedEvent, - RealtimeTransportToolCallEvent, +from .model_events import ( + RealtimeModelEvent, + RealtimeModelInputAudioTranscriptionCompletedEvent, + RealtimeModelToolCallEvent, ) +from .openai_realtime import OpenAIRealtimeWebSocketTransport class RealtimeSessionListener(abc.ABC): @@ -70,7 +74,7 @@ async def on_event(self, event: RealtimeSessionEvent) -> None: await self._func(event) -class RealtimeSession(RealtimeTransportListener): +class RealtimeSession(RealtimeModelListener): """A `RealtimeSession` is the equivalent of `Runner` for realtime agents. It automatically handles multiple turns by maintaining a persistent connection with the underlying transport layer. @@ -86,14 +90,10 @@ def __init__( self, starting_agent: RealtimeAgent, *, - context: Any | None = None, - transport: Literal["websocket"] | RealtimeSessionTransport = "websocket", - api_key: APIKeyOrKeyFunc | None = None, + context: TContext | None = None, + transport: Literal["websocket"] | RealtimeModel = "websocket", model: RealtimeModelName | None = None, - config: RealtimeSessionConfig | None = None, - # TODO (rm) Add guardrail support - # TODO (rm) Add tracing support - # TODO (rm) Add history audio storage config + config: RealtimeRunConfig | None = None, ) -> None: """Initialize the realtime session. @@ -111,12 +111,11 @@ def __init__( self._override_config = config self._history: list[RealtimeItem] = [] self._model = model - self._api_key = api_key self._listeners: list[RealtimeSessionListener] = [] if transport == "websocket": - self._transport: RealtimeSessionTransport = OpenAIRealtimeWebSocketTransport() + self._transport: RealtimeModel = OpenAIRealtimeWebSocketTransport() else: self._transport = transport @@ -129,29 +128,21 @@ async def __aexit__(self, _exc_type: Any, _exc_val: Any, _exc_tb: Any) -> None: """Async context manager exit.""" await self.end() - async def connect(self) -> None: + async def connect(self, *, model_config: RealtimeModelConfig | None = None) -> None: """Start the session: connect to the model and start the connection.""" self._transport.add_listener(self) - config = await self.create_session_config( - overrides=self._override_config, + model_settings = await self._get_model_settings( + initial_settings=model_config.get("initial_model_settings") if model_config else None, + overrides=self._override_config.get("model_settings") + if self._override_config + else None, ) - options: RealtimeTransportConnectionOptions = { - "initial_session_config": config, - } + model_config = model_config.copy() if model_config else {} + model_config["initial_model_settings"] = model_settings - if config.get("api_key") is not None: - options["api_key"] = config["api_key"] - elif self._api_key is not None: - options["api_key"] = self._api_key - - if config.get("model") is not None: - options["model"] = config["model"] - elif self._model is not None: - options["model"] = self._model - - await self._transport.connect(options) + await self._transport.connect(model_config) await self._emit_event( RealtimeHistoryUpdated( @@ -183,28 +174,28 @@ def remove_listener( self._listeners.remove(x) break - async def create_session_config( - self, overrides: RealtimeSessionConfig | None = None - ) -> RealtimeSessionConfig: - """Create the session config.""" + async def _get_model_settings( + self, + initial_settings: RealtimeSessionModelSettings | None = None, + overrides: RealtimeSessionModelSettings | None = None, + ) -> RealtimeSessionModelSettings: + model_settings = initial_settings.copy() if initial_settings else {} + agent = self._current_agent instructions, tools = await asyncio.gather( agent.get_system_prompt(self._context_wrapper), agent.get_all_tools(self._context_wrapper), ) - config = RealtimeSessionConfig() - if self._model is not None: - config["model"] = self._model if instructions is not None: - config["instructions"] = instructions + model_settings["instructions"] = instructions if tools is not None: - config["tools"] = [tool for tool in tools if isinstance(tool, FunctionTool)] + model_settings["tools"] = tools if overrides: - config.update(overrides) + model_settings.update(overrides) - return config + return model_settings async def send_message(self, message: RealtimeUserInput) -> None: """Send a message to the model.""" @@ -218,7 +209,7 @@ async def interrupt(self) -> None: """Interrupt the model.""" await self._transport.interrupt() - async def on_event(self, event: RealtimeTransportEvent) -> None: + async def on_event(self, event: RealtimeModelEvent) -> None: """Called when an event is emitted by the realtime transport.""" await self._emit_event(RealtimeRawTransportEvent(data=event, info=self._event_info)) @@ -284,7 +275,7 @@ async def _emit_event(self, event: RealtimeSessionEvent) -> None: """Emit an event to the listeners.""" await asyncio.gather(*[listener.on_event(event) for listener in self._listeners]) - async def _handle_tool_call(self, event: RealtimeTransportToolCallEvent) -> None: + async def _handle_tool_call(self, event: RealtimeModelToolCallEvent) -> None: all_tools = await self._current_agent.get_all_tools(self._context_wrapper) function_map = {tool.name: tool for tool in all_tools if isinstance(tool, FunctionTool)} handoff_map = {tool.name: tool for tool in all_tools if isinstance(tool, Handoff)} @@ -322,10 +313,10 @@ async def _handle_tool_call(self, event: RealtimeTransportToolCallEvent) -> None def _get_new_history( self, old_history: list[RealtimeItem], - event: RealtimeTransportInputAudioTranscriptionCompletedEvent | RealtimeItem, + event: RealtimeModelInputAudioTranscriptionCompletedEvent | RealtimeItem, ) -> list[RealtimeItem]: # Merge transcript into placeholder input_audio message. - if isinstance(event, RealtimeTransportInputAudioTranscriptionCompletedEvent): + if isinstance(event, RealtimeModelInputAudioTranscriptionCompletedEvent): new_history: list[RealtimeItem] = [] for item in old_history: if item.item_id == event.item_id and item.type == "message" and item.role == "user": From 547bb4d78e1e402c7e539d0f1823d3dd3cf21eaf Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 15:14:52 -0400 Subject: [PATCH 185/337] [8/n] Make realtime more like the rest of agents sdk Key changes: 1. Transport -> model. 2. Extract any model settings into `RealtimeSessionModelSettings`. 3. RealtimeRunConfig, similar to the RunConfig in `run.py`. Next PR I'll update session to be better. --- src/agents/realtime/__init__.py | 40 ++++++--- src/agents/realtime/config.py | 51 ++++++------ src/agents/realtime/events.py | 6 +- src/agents/realtime/openai_realtime.py | 111 +++++++++++++++---------- src/agents/realtime/session.py | 99 ++++++++++------------ 5 files changed, 169 insertions(+), 138 deletions(-) diff --git a/src/agents/realtime/__init__.py b/src/agents/realtime/__init__.py index 7e5d4932a..d2e258e33 100644 --- a/src/agents/realtime/__init__.py +++ b/src/agents/realtime/__init__.py @@ -1,5 +1,16 @@ from .agent import RealtimeAgent, RealtimeAgentHooks, RealtimeRunHooks -from .config import APIKeyOrKeyFunc +from .config import ( + RealtimeAudioFormat, + RealtimeClientMessage, + RealtimeInputAudioTranscriptionConfig, + RealtimeModelName, + RealtimeRunConfig, + RealtimeSessionModelSettings, + RealtimeTurnDetectionConfig, + RealtimeUserInput, + RealtimeUserInputMessage, + RealtimeUserInputText, +) from .events import ( RealtimeAgentEndEvent, RealtimeAgentStartEvent, @@ -15,13 +26,12 @@ RealtimeToolEnd, RealtimeToolStart, ) -from .session import RealtimeSession -from .transport import ( - RealtimeModelName, - RealtimeSessionTransport, - RealtimeTransportConnectionOptions, - RealtimeTransportListener, +from .model import ( + RealtimeModel, + RealtimeModelConfig, + RealtimeModelListener, ) +from .session import RealtimeSession __all__ = [ "RealtimeAgent", @@ -30,11 +40,19 @@ "RealtimeSession", "RealtimeSessionListener", "RealtimeSessionListenerFunc", - "APIKeyOrKeyFunc", + "RealtimeRunConfig", + "RealtimeSessionModelSettings", + "RealtimeInputAudioTranscriptionConfig", + "RealtimeTurnDetectionConfig", + "RealtimeAudioFormat", + "RealtimeClientMessage", + "RealtimeUserInput", + "RealtimeUserInputMessage", + "RealtimeUserInputText", "RealtimeModelName", - "RealtimeSessionTransport", - "RealtimeTransportListener", - "RealtimeTransportConnectionOptions", + "RealtimeModel", + "RealtimeModelListener", + "RealtimeModelConfig", "RealtimeSessionEvent", "RealtimeAgentStartEvent", "RealtimeAgentEndEvent", diff --git a/src/agents/realtime/config.py b/src/agents/realtime/config.py index aa15c837d..459a03a9a 100644 --- a/src/agents/realtime/config.py +++ b/src/agents/realtime/config.py @@ -1,9 +1,7 @@ from __future__ import annotations -import inspect from typing import ( Any, - Callable, Literal, Union, ) @@ -11,8 +9,20 @@ from typing_extensions import NotRequired, TypeAlias, TypedDict from ..model_settings import ToolChoice -from ..tool import FunctionTool -from ..util._types import MaybeAwaitable +from ..tool import Tool + +RealtimeModelName: TypeAlias = Union[ + Literal[ + "gpt-4o-realtime-preview", + "gpt-4o-mini-realtime-preview", + "gpt-4o-realtime-preview-2025-06-03", + "gpt-4o-realtime-preview-2024-12-17", + "gpt-4o-realtime-preview-2024-10-01", + "gpt-4o-mini-realtime-preview-2024-12-17", + ], + str, +] +"""The name of a realtime model.""" class RealtimeClientMessage(TypedDict): @@ -20,7 +30,7 @@ class RealtimeClientMessage(TypedDict): other_data: NotRequired[dict[str, Any]] -class UserInputText(TypedDict): +class RealtimeUserInputText(TypedDict): type: Literal["input_text"] text: str @@ -28,7 +38,7 @@ class UserInputText(TypedDict): class RealtimeUserInputMessage(TypedDict): type: Literal["message"] role: Literal["user"] - content: list[UserInputText] + content: list[RealtimeUserInputText] RealtimeUserInput: TypeAlias = Union[str, RealtimeUserInputMessage] @@ -55,9 +65,11 @@ class RealtimeTurnDetectionConfig(TypedDict): threshold: NotRequired[float] -class RealtimeSessionConfig(TypedDict): - api_key: NotRequired[APIKeyOrKeyFunc] - model: NotRequired[str] +class RealtimeSessionModelSettings(TypedDict): + """Model settings for a realtime model session.""" + + model_name: NotRequired[RealtimeModelName] + instructions: NotRequired[str] modalities: NotRequired[list[Literal["text", "audio"]]] voice: NotRequired[str] @@ -68,24 +80,13 @@ class RealtimeSessionConfig(TypedDict): turn_detection: NotRequired[RealtimeTurnDetectionConfig] tool_choice: NotRequired[ToolChoice] - tools: NotRequired[list[FunctionTool]] - - -APIKeyOrKeyFunc = str | Callable[[], MaybeAwaitable[str]] -"""Either an API key or a function that returns an API key.""" - + tools: NotRequired[list[Tool]] -async def get_api_key(key: APIKeyOrKeyFunc | None) -> str | None: - """Get the API key from the key or key function.""" - if key is None: - return None - elif isinstance(key, str): - return key - result = key() - if inspect.isawaitable(result): - return await result - return result +class RealtimeRunConfig(TypedDict): + model_settings: NotRequired[RealtimeSessionModelSettings] # TODO (rm) Add tracing support # tracing: NotRequired[RealtimeTracingConfig | None] + # TODO (rm) Add guardrail support + # TODO (rm) Add history audio storage config diff --git a/src/agents/realtime/events.py b/src/agents/realtime/events.py index bd6b7b5b0..c96357e1a 100644 --- a/src/agents/realtime/events.py +++ b/src/agents/realtime/events.py @@ -7,7 +7,7 @@ from ..tool import Tool from .agent import RealtimeAgent from .items import RealtimeItem -from .transport_events import RealtimeTransportAudioEvent, RealtimeTransportEvent +from .model_events import RealtimeModelAudioEvent, RealtimeModelEvent @dataclass @@ -96,7 +96,7 @@ class RealtimeToolEnd: class RealtimeRawTransportEvent: """Forwards raw events from the transport layer.""" - data: RealtimeTransportEvent + data: RealtimeModelEvent """The raw data from the transport layer.""" info: RealtimeEventInfo @@ -119,7 +119,7 @@ class RealtimeAudioEnd: class RealtimeAudio: """Triggered when the agent generates new audio to be played.""" - audio: RealtimeTransportAudioEvent + audio: RealtimeModelAudioEvent """The audio event from the transport layer.""" info: RealtimeEventInfo diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 6dc34bcf1..1806297af 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -1,9 +1,12 @@ +from __future__ import annotations + import asyncio import base64 +import inspect import json import os from datetime import datetime -from typing import Any +from typing import Any, Callable import websockets from openai.types.beta.realtime.realtime_server_event import ( @@ -12,52 +15,72 @@ from pydantic import TypeAdapter from websockets.asyncio.client import ClientConnection +from agents.util._types import MaybeAwaitable + from ..exceptions import UserError from ..logger import logger -from .config import RealtimeClientMessage, RealtimeUserInput, get_api_key +from .config import ( + RealtimeClientMessage, + RealtimeSessionModelSettings, + RealtimeUserInput, +) from .items import RealtimeMessageItem, RealtimeToolCallItem -from .transport import ( - RealtimeSessionTransport, - RealtimeTransportConnectionOptions, - RealtimeTransportListener, +from .model import ( + RealtimeModel, + RealtimeModelConfig, + RealtimeModelListener, ) -from .transport_events import ( - RealtimeTransportAudioDoneEvent, - RealtimeTransportAudioEvent, - RealtimeTransportAudioInterruptedEvent, - RealtimeTransportErrorEvent, - RealtimeTransportEvent, - RealtimeTransportInputAudioTranscriptionCompletedEvent, - RealtimeTransportItemDeletedEvent, - RealtimeTransportItemUpdatedEvent, - RealtimeTransportToolCallEvent, - RealtimeTransportTranscriptDelta, - RealtimeTransportTurnEndedEvent, - RealtimeTransportTurnStartedEvent, +from .model_events import ( + RealtimeModelAudioDoneEvent, + RealtimeModelAudioEvent, + RealtimeModelAudioInterruptedEvent, + RealtimeModelErrorEvent, + RealtimeModelEvent, + RealtimeModelInputAudioTranscriptionCompletedEvent, + RealtimeModelItemDeletedEvent, + RealtimeModelItemUpdatedEvent, + RealtimeModelToolCallEvent, + RealtimeModelTranscriptDeltaEvent, + RealtimeModelTurnEndedEvent, + RealtimeModelTurnStartedEvent, ) -class OpenAIRealtimeWebSocketTransport(RealtimeSessionTransport): +async def get_api_key(key: str | Callable[[], MaybeAwaitable[str]] | None) -> str | None: + if isinstance(key, str): + return key + elif callable(key): + result = key() + if inspect.isawaitable(result): + return await result + return result + + return os.getenv("OPENAI_API_KEY") + + +class OpenAIRealtimeWebSocketTransport(RealtimeModel): """A transport layer for realtime sessions that uses OpenAI's WebSocket API.""" def __init__(self) -> None: self.model = "gpt-4o-realtime-preview" # Default model self._websocket: ClientConnection | None = None self._websocket_task: asyncio.Task[None] | None = None - self._listeners: list[RealtimeTransportListener] = [] + self._listeners: list[RealtimeModelListener] = [] self._current_item_id: str | None = None self._audio_start_time: datetime | None = None self._audio_length_ms: float = 0.0 self._ongoing_response: bool = False self._current_audio_content_index: int | None = None - async def connect(self, options: RealtimeTransportConnectionOptions) -> None: + async def connect(self, options: RealtimeModelConfig) -> None: """Establish a connection to the model and keep it alive.""" assert self._websocket is None, "Already connected" assert self._websocket_task is None, "Already connected" - self.model = options.get("model", self.model) - api_key = await get_api_key(options.get("api_key", os.getenv("OPENAI_API_KEY"))) + model_settings: RealtimeSessionModelSettings = options.get("initial_model_settings", {}) + + self.model = model_settings.get("model_name", self.model) + api_key = await get_api_key(options.get("api_key")) if not api_key: raise UserError("API key is required but was not provided.") @@ -71,15 +94,15 @@ async def connect(self, options: RealtimeTransportConnectionOptions) -> None: self._websocket = await websockets.connect(url, additional_headers=headers) self._websocket_task = asyncio.create_task(self._listen_for_messages()) - def add_listener(self, listener: RealtimeTransportListener) -> None: + def add_listener(self, listener: RealtimeModelListener) -> None: """Add a listener to the transport.""" self._listeners.append(listener) - async def remove_listener(self, listener: RealtimeTransportListener) -> None: + async def remove_listener(self, listener: RealtimeModelListener) -> None: """Remove a listener from the transport.""" self._listeners.remove(listener) - async def _emit_event(self, event: RealtimeTransportEvent) -> None: + async def _emit_event(self, event: RealtimeModelEvent) -> None: """Emit an event to the listeners.""" for listener in self._listeners: await listener.on_event(event) @@ -154,7 +177,7 @@ async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: await self.send_event({"type": "input_audio_buffer.commit"}) async def send_tool_output( - self, tool_call: RealtimeTransportToolCallEvent, output: str, start_response: bool + self, tool_call: RealtimeModelToolCallEvent, output: str, start_response: bool ) -> None: """Send tool output to the model.""" await self.send_event( @@ -179,7 +202,7 @@ async def send_tool_output( name=tool_call.name, output=output, ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=tool_item)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=tool_item)) if start_response: await self.send_event({"type": "response.create"}) @@ -193,7 +216,7 @@ async def interrupt(self) -> None: elapsed_time_ms = (datetime.now() - self._audio_start_time).total_seconds() * 1000 if elapsed_time_ms > 0 and elapsed_time_ms < self._audio_length_ms: - await self._emit_event(RealtimeTransportAudioInterruptedEvent()) + await self._emit_event(RealtimeModelAudioInterruptedEvent()) await self.send_event( { "type": "conversation.item.truncate", @@ -231,9 +254,7 @@ async def _handle_ws_event(self, event: dict[str, Any]): ).validate_python(event) except Exception as e: logger.error(f"Invalid event: {event} - {e}") - await self._emit_event( - RealtimeTransportErrorEvent(error=f"Invalid event: {event} - {e}") - ) + await self._emit_event(RealtimeModelErrorEvent(error=f"Invalid event: {event} - {e}")) return if parsed.type == "response.audio.delta": @@ -247,25 +268,25 @@ async def _handle_ws_event(self, event: dict[str, Any]): # Calculate audio length in ms using 24KHz pcm16le self._audio_length_ms += len(audio_bytes) / 24 / 2 await self._emit_event( - RealtimeTransportAudioEvent(data=audio_bytes, response_id=parsed.response_id) + RealtimeModelAudioEvent(data=audio_bytes, response_id=parsed.response_id) ) elif parsed.type == "response.audio.done": - await self._emit_event(RealtimeTransportAudioDoneEvent()) + await self._emit_event(RealtimeModelAudioDoneEvent()) elif parsed.type == "input_audio_buffer.speech_started": await self.interrupt() elif parsed.type == "response.created": self._ongoing_response = True - await self._emit_event(RealtimeTransportTurnStartedEvent()) + await self._emit_event(RealtimeModelTurnStartedEvent()) elif parsed.type == "response.done": self._ongoing_response = False - await self._emit_event(RealtimeTransportTurnEndedEvent()) + await self._emit_event(RealtimeModelTurnEndedEvent()) elif parsed.type == "session.created": # TODO (rm) tracing stuff here pass elif parsed.type == "error": - await self._emit_event(RealtimeTransportErrorEvent(error=parsed.error)) + await self._emit_event(RealtimeModelErrorEvent(error=parsed.error)) elif parsed.type == "conversation.item.deleted": - await self._emit_event(RealtimeTransportItemDeletedEvent(item_id=parsed.item_id)) + await self._emit_event(RealtimeModelItemDeletedEvent(item_id=parsed.item_id)) elif ( parsed.type == "conversation.item.created" or parsed.type == "conversation.item.retrieved" @@ -284,7 +305,7 @@ async def _handle_ws_event(self, event: dict[str, Any]): "status": "in_progress", } ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=message_item)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=message_item)) elif ( parsed.type == "conversation.item.input_audio_transcription.completed" or parsed.type == "conversation.item.truncated" @@ -299,13 +320,13 @@ async def _handle_ws_event(self, event: dict[str, Any]): ) if parsed.type == "conversation.item.input_audio_transcription.completed": await self._emit_event( - RealtimeTransportInputAudioTranscriptionCompletedEvent( + RealtimeModelInputAudioTranscriptionCompletedEvent( item_id=parsed.item_id, transcript=parsed.transcript ) ) elif parsed.type == "response.audio_transcript.delta": await self._emit_event( - RealtimeTransportTranscriptDelta( + RealtimeModelTranscriptDeltaEvent( item_id=parsed.item_id, delta=parsed.delta, response_id=parsed.response_id ) ) @@ -333,9 +354,9 @@ async def _handle_ws_event(self, event: dict[str, Any]): name=item.name or "", output=None, ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=tool_call)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=tool_call)) await self._emit_event( - RealtimeTransportToolCallEvent( + RealtimeModelToolCallEvent( call_id=item.id or "", name=item.name or "", arguments=item.arguments or "", @@ -352,4 +373,4 @@ async def _handle_ws_event(self, event: dict[str, Any]): "status": "in_progress", } ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=message_item)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=message_item)) diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index fd2a0a3ff..44ec87821 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -10,11 +10,16 @@ from typing_extensions import TypeAlias, assert_never from ..handoffs import Handoff -from ..run_context import RunContextWrapper +from ..run_context import RunContextWrapper, TContext from ..tool import FunctionTool from ..tool_context import ToolContext from .agent import RealtimeAgent -from .config import APIKeyOrKeyFunc, RealtimeSessionConfig, RealtimeUserInput +from .config import ( + RealtimeModelName, + RealtimeRunConfig, + RealtimeSessionModelSettings, + RealtimeUserInput, +) from .events import ( RealtimeAgentEndEvent, RealtimeAgentStartEvent, @@ -32,18 +37,17 @@ RealtimeToolStart, ) from .items import InputAudio, InputText, RealtimeItem -from .openai_realtime import OpenAIRealtimeWebSocketTransport -from .transport import ( - RealtimeModelName, - RealtimeSessionTransport, - RealtimeTransportConnectionOptions, - RealtimeTransportListener, +from .model import ( + RealtimeModel, + RealtimeModelConfig, + RealtimeModelListener, ) -from .transport_events import ( - RealtimeTransportEvent, - RealtimeTransportInputAudioTranscriptionCompletedEvent, - RealtimeTransportToolCallEvent, +from .model_events import ( + RealtimeModelEvent, + RealtimeModelInputAudioTranscriptionCompletedEvent, + RealtimeModelToolCallEvent, ) +from .openai_realtime import OpenAIRealtimeWebSocketTransport class RealtimeSessionListener(abc.ABC): @@ -70,7 +74,7 @@ async def on_event(self, event: RealtimeSessionEvent) -> None: await self._func(event) -class RealtimeSession(RealtimeTransportListener): +class RealtimeSession(RealtimeModelListener): """A `RealtimeSession` is the equivalent of `Runner` for realtime agents. It automatically handles multiple turns by maintaining a persistent connection with the underlying transport layer. @@ -86,14 +90,10 @@ def __init__( self, starting_agent: RealtimeAgent, *, - context: Any | None = None, - transport: Literal["websocket"] | RealtimeSessionTransport = "websocket", - api_key: APIKeyOrKeyFunc | None = None, + context: TContext | None = None, + transport: Literal["websocket"] | RealtimeModel = "websocket", model: RealtimeModelName | None = None, - config: RealtimeSessionConfig | None = None, - # TODO (rm) Add guardrail support - # TODO (rm) Add tracing support - # TODO (rm) Add history audio storage config + config: RealtimeRunConfig | None = None, ) -> None: """Initialize the realtime session. @@ -111,12 +111,11 @@ def __init__( self._override_config = config self._history: list[RealtimeItem] = [] self._model = model - self._api_key = api_key self._listeners: list[RealtimeSessionListener] = [] if transport == "websocket": - self._transport: RealtimeSessionTransport = OpenAIRealtimeWebSocketTransport() + self._transport: RealtimeModel = OpenAIRealtimeWebSocketTransport() else: self._transport = transport @@ -129,29 +128,21 @@ async def __aexit__(self, _exc_type: Any, _exc_val: Any, _exc_tb: Any) -> None: """Async context manager exit.""" await self.end() - async def connect(self) -> None: + async def connect(self, *, model_config: RealtimeModelConfig | None = None) -> None: """Start the session: connect to the model and start the connection.""" self._transport.add_listener(self) - config = await self.create_session_config( - overrides=self._override_config, + model_settings = await self._get_model_settings( + initial_settings=model_config.get("initial_model_settings") if model_config else None, + overrides=self._override_config.get("model_settings") + if self._override_config + else None, ) - options: RealtimeTransportConnectionOptions = { - "initial_session_config": config, - } + model_config = model_config.copy() if model_config else {} + model_config["initial_model_settings"] = model_settings - if config.get("api_key") is not None: - options["api_key"] = config["api_key"] - elif self._api_key is not None: - options["api_key"] = self._api_key - - if config.get("model") is not None: - options["model"] = config["model"] - elif self._model is not None: - options["model"] = self._model - - await self._transport.connect(options) + await self._transport.connect(model_config) await self._emit_event( RealtimeHistoryUpdated( @@ -183,28 +174,28 @@ def remove_listener( self._listeners.remove(x) break - async def create_session_config( - self, overrides: RealtimeSessionConfig | None = None - ) -> RealtimeSessionConfig: - """Create the session config.""" + async def _get_model_settings( + self, + initial_settings: RealtimeSessionModelSettings | None = None, + overrides: RealtimeSessionModelSettings | None = None, + ) -> RealtimeSessionModelSettings: + model_settings = initial_settings.copy() if initial_settings else {} + agent = self._current_agent instructions, tools = await asyncio.gather( agent.get_system_prompt(self._context_wrapper), agent.get_all_tools(self._context_wrapper), ) - config = RealtimeSessionConfig() - if self._model is not None: - config["model"] = self._model if instructions is not None: - config["instructions"] = instructions + model_settings["instructions"] = instructions if tools is not None: - config["tools"] = [tool for tool in tools if isinstance(tool, FunctionTool)] + model_settings["tools"] = tools if overrides: - config.update(overrides) + model_settings.update(overrides) - return config + return model_settings async def send_message(self, message: RealtimeUserInput) -> None: """Send a message to the model.""" @@ -218,7 +209,7 @@ async def interrupt(self) -> None: """Interrupt the model.""" await self._transport.interrupt() - async def on_event(self, event: RealtimeTransportEvent) -> None: + async def on_event(self, event: RealtimeModelEvent) -> None: """Called when an event is emitted by the realtime transport.""" await self._emit_event(RealtimeRawTransportEvent(data=event, info=self._event_info)) @@ -284,7 +275,7 @@ async def _emit_event(self, event: RealtimeSessionEvent) -> None: """Emit an event to the listeners.""" await asyncio.gather(*[listener.on_event(event) for listener in self._listeners]) - async def _handle_tool_call(self, event: RealtimeTransportToolCallEvent) -> None: + async def _handle_tool_call(self, event: RealtimeModelToolCallEvent) -> None: all_tools = await self._current_agent.get_all_tools(self._context_wrapper) function_map = {tool.name: tool for tool in all_tools if isinstance(tool, FunctionTool)} handoff_map = {tool.name: tool for tool in all_tools if isinstance(tool, Handoff)} @@ -322,10 +313,10 @@ async def _handle_tool_call(self, event: RealtimeTransportToolCallEvent) -> None def _get_new_history( self, old_history: list[RealtimeItem], - event: RealtimeTransportInputAudioTranscriptionCompletedEvent | RealtimeItem, + event: RealtimeModelInputAudioTranscriptionCompletedEvent | RealtimeItem, ) -> list[RealtimeItem]: # Merge transcript into placeholder input_audio message. - if isinstance(event, RealtimeTransportInputAudioTranscriptionCompletedEvent): + if isinstance(event, RealtimeModelInputAudioTranscriptionCompletedEvent): new_history: list[RealtimeItem] = [] for item in old_history: if item.item_id == event.item_id and item.type == "message" and item.role == "user": From 1784063c7c841685c390945a4923e684cd3cdc36 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 15:14:52 -0400 Subject: [PATCH 186/337] [8/n] Make realtime more like the rest of agents sdk Key changes: 1. Transport -> model. 2. Extract any model settings into `RealtimeSessionModelSettings`. 3. RealtimeRunConfig, similar to the RunConfig in `run.py`. Next PR I'll update session to be better. --- src/agents/realtime/__init__.py | 40 +++++-- src/agents/realtime/config.py | 51 ++++----- src/agents/realtime/events.py | 6 +- src/agents/realtime/model.py | 97 ++++++++++++++++ src/agents/realtime/model_events.py | 150 +++++++++++++++++++++++++ src/agents/realtime/openai_realtime.py | 111 ++++++++++-------- src/agents/realtime/session.py | 99 ++++++++-------- tests/realtime/test_model_events.py | 12 ++ 8 files changed, 428 insertions(+), 138 deletions(-) create mode 100644 src/agents/realtime/model.py create mode 100644 src/agents/realtime/model_events.py create mode 100644 tests/realtime/test_model_events.py diff --git a/src/agents/realtime/__init__.py b/src/agents/realtime/__init__.py index 7e5d4932a..d2e258e33 100644 --- a/src/agents/realtime/__init__.py +++ b/src/agents/realtime/__init__.py @@ -1,5 +1,16 @@ from .agent import RealtimeAgent, RealtimeAgentHooks, RealtimeRunHooks -from .config import APIKeyOrKeyFunc +from .config import ( + RealtimeAudioFormat, + RealtimeClientMessage, + RealtimeInputAudioTranscriptionConfig, + RealtimeModelName, + RealtimeRunConfig, + RealtimeSessionModelSettings, + RealtimeTurnDetectionConfig, + RealtimeUserInput, + RealtimeUserInputMessage, + RealtimeUserInputText, +) from .events import ( RealtimeAgentEndEvent, RealtimeAgentStartEvent, @@ -15,13 +26,12 @@ RealtimeToolEnd, RealtimeToolStart, ) -from .session import RealtimeSession -from .transport import ( - RealtimeModelName, - RealtimeSessionTransport, - RealtimeTransportConnectionOptions, - RealtimeTransportListener, +from .model import ( + RealtimeModel, + RealtimeModelConfig, + RealtimeModelListener, ) +from .session import RealtimeSession __all__ = [ "RealtimeAgent", @@ -30,11 +40,19 @@ "RealtimeSession", "RealtimeSessionListener", "RealtimeSessionListenerFunc", - "APIKeyOrKeyFunc", + "RealtimeRunConfig", + "RealtimeSessionModelSettings", + "RealtimeInputAudioTranscriptionConfig", + "RealtimeTurnDetectionConfig", + "RealtimeAudioFormat", + "RealtimeClientMessage", + "RealtimeUserInput", + "RealtimeUserInputMessage", + "RealtimeUserInputText", "RealtimeModelName", - "RealtimeSessionTransport", - "RealtimeTransportListener", - "RealtimeTransportConnectionOptions", + "RealtimeModel", + "RealtimeModelListener", + "RealtimeModelConfig", "RealtimeSessionEvent", "RealtimeAgentStartEvent", "RealtimeAgentEndEvent", diff --git a/src/agents/realtime/config.py b/src/agents/realtime/config.py index aa15c837d..459a03a9a 100644 --- a/src/agents/realtime/config.py +++ b/src/agents/realtime/config.py @@ -1,9 +1,7 @@ from __future__ import annotations -import inspect from typing import ( Any, - Callable, Literal, Union, ) @@ -11,8 +9,20 @@ from typing_extensions import NotRequired, TypeAlias, TypedDict from ..model_settings import ToolChoice -from ..tool import FunctionTool -from ..util._types import MaybeAwaitable +from ..tool import Tool + +RealtimeModelName: TypeAlias = Union[ + Literal[ + "gpt-4o-realtime-preview", + "gpt-4o-mini-realtime-preview", + "gpt-4o-realtime-preview-2025-06-03", + "gpt-4o-realtime-preview-2024-12-17", + "gpt-4o-realtime-preview-2024-10-01", + "gpt-4o-mini-realtime-preview-2024-12-17", + ], + str, +] +"""The name of a realtime model.""" class RealtimeClientMessage(TypedDict): @@ -20,7 +30,7 @@ class RealtimeClientMessage(TypedDict): other_data: NotRequired[dict[str, Any]] -class UserInputText(TypedDict): +class RealtimeUserInputText(TypedDict): type: Literal["input_text"] text: str @@ -28,7 +38,7 @@ class UserInputText(TypedDict): class RealtimeUserInputMessage(TypedDict): type: Literal["message"] role: Literal["user"] - content: list[UserInputText] + content: list[RealtimeUserInputText] RealtimeUserInput: TypeAlias = Union[str, RealtimeUserInputMessage] @@ -55,9 +65,11 @@ class RealtimeTurnDetectionConfig(TypedDict): threshold: NotRequired[float] -class RealtimeSessionConfig(TypedDict): - api_key: NotRequired[APIKeyOrKeyFunc] - model: NotRequired[str] +class RealtimeSessionModelSettings(TypedDict): + """Model settings for a realtime model session.""" + + model_name: NotRequired[RealtimeModelName] + instructions: NotRequired[str] modalities: NotRequired[list[Literal["text", "audio"]]] voice: NotRequired[str] @@ -68,24 +80,13 @@ class RealtimeSessionConfig(TypedDict): turn_detection: NotRequired[RealtimeTurnDetectionConfig] tool_choice: NotRequired[ToolChoice] - tools: NotRequired[list[FunctionTool]] - - -APIKeyOrKeyFunc = str | Callable[[], MaybeAwaitable[str]] -"""Either an API key or a function that returns an API key.""" - + tools: NotRequired[list[Tool]] -async def get_api_key(key: APIKeyOrKeyFunc | None) -> str | None: - """Get the API key from the key or key function.""" - if key is None: - return None - elif isinstance(key, str): - return key - result = key() - if inspect.isawaitable(result): - return await result - return result +class RealtimeRunConfig(TypedDict): + model_settings: NotRequired[RealtimeSessionModelSettings] # TODO (rm) Add tracing support # tracing: NotRequired[RealtimeTracingConfig | None] + # TODO (rm) Add guardrail support + # TODO (rm) Add history audio storage config diff --git a/src/agents/realtime/events.py b/src/agents/realtime/events.py index bd6b7b5b0..c96357e1a 100644 --- a/src/agents/realtime/events.py +++ b/src/agents/realtime/events.py @@ -7,7 +7,7 @@ from ..tool import Tool from .agent import RealtimeAgent from .items import RealtimeItem -from .transport_events import RealtimeTransportAudioEvent, RealtimeTransportEvent +from .model_events import RealtimeModelAudioEvent, RealtimeModelEvent @dataclass @@ -96,7 +96,7 @@ class RealtimeToolEnd: class RealtimeRawTransportEvent: """Forwards raw events from the transport layer.""" - data: RealtimeTransportEvent + data: RealtimeModelEvent """The raw data from the transport layer.""" info: RealtimeEventInfo @@ -119,7 +119,7 @@ class RealtimeAudioEnd: class RealtimeAudio: """Triggered when the agent generates new audio to be played.""" - audio: RealtimeTransportAudioEvent + audio: RealtimeModelAudioEvent """The audio event from the transport layer.""" info: RealtimeEventInfo diff --git a/src/agents/realtime/model.py b/src/agents/realtime/model.py new file mode 100644 index 000000000..42566cdc1 --- /dev/null +++ b/src/agents/realtime/model.py @@ -0,0 +1,97 @@ +import abc +from typing import Any, Callable + +from typing_extensions import NotRequired, TypedDict + +from ..util._types import MaybeAwaitable +from .config import ( + RealtimeClientMessage, + RealtimeSessionModelSettings, + RealtimeUserInput, +) +from .model_events import RealtimeModelEvent, RealtimeModelToolCallEvent + + +class RealtimeModelListener(abc.ABC): + """A listener for realtime transport events.""" + + @abc.abstractmethod + async def on_event(self, event: RealtimeModelEvent) -> None: + """Called when an event is emitted by the realtime transport.""" + pass + + +class RealtimeModelConfig(TypedDict): + """Options for connecting to a realtime model.""" + + api_key: NotRequired[str | Callable[[], MaybeAwaitable[str]]] + """The API key (or function that returns a key) to use when connecting. If unset, the model will + try to use a sane default. For example, the OpenAI Realtime model will try to use the + `OPENAI_API_KEY` environment variable. + """ + + url: NotRequired[str] + """The URL to use when connecting. If unset, the model will use a sane default. For example, + the OpenAI Realtime model will use the default OpenAI WebSocket URL. + """ + + initial_model_settings: NotRequired[RealtimeSessionModelSettings] + + +class RealtimeModel(abc.ABC): + """Interface for connecting to a realtime model and sending/receiving events.""" + + @abc.abstractmethod + async def connect(self, options: RealtimeModelConfig) -> None: + """Establish a connection to the model and keep it alive.""" + pass + + @abc.abstractmethod + def add_listener(self, listener: RealtimeModelListener) -> None: + """Add a listener to the model.""" + pass + + @abc.abstractmethod + async def remove_listener(self, listener: RealtimeModelListener) -> None: + """Remove a listener from the model.""" + pass + + @abc.abstractmethod + async def send_event(self, event: RealtimeClientMessage) -> None: + """Send an event to the model.""" + pass + + @abc.abstractmethod + async def send_message( + self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None + ) -> None: + """Send a message to the model.""" + pass + + @abc.abstractmethod + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Send a raw audio chunk to the model. + + Args: + audio: The audio data to send. + commit: Whether to commit the audio buffer to the model. If the model does not do turn + detection, this can be used to indicate the turn is completed. + """ + pass + + @abc.abstractmethod + async def send_tool_output( + self, tool_call: RealtimeModelToolCallEvent, output: str, start_response: bool + ) -> None: + """Send tool output to the model.""" + pass + + @abc.abstractmethod + async def interrupt(self) -> None: + """Interrupt the model. For example, could be triggered by a guardrail.""" + pass + + @abc.abstractmethod + async def close(self) -> None: + """Close the session.""" + pass diff --git a/src/agents/realtime/model_events.py b/src/agents/realtime/model_events.py new file mode 100644 index 000000000..a9769cebd --- /dev/null +++ b/src/agents/realtime/model_events.py @@ -0,0 +1,150 @@ +from __future__ import annotations + +from dataclasses import dataclass +from typing import Any, Literal, Union + +from typing_extensions import TypeAlias + +from .items import RealtimeItem + +RealtimeConnectionStatus: TypeAlias = Literal["connecting", "connected", "disconnected"] + + +@dataclass +class RealtimeModelErrorEvent: + """Represents a transport‑layer error.""" + + error: Any + + type: Literal["error"] = "error" + + +@dataclass +class RealtimeModelToolCallEvent: + """Model attempted a tool/function call.""" + + name: str + call_id: str + arguments: str + + id: str | None = None + previous_item_id: str | None = None + + type: Literal["function_call"] = "function_call" + + +@dataclass +class RealtimeModelAudioEvent: + """Raw audio bytes emitted by the model.""" + + data: bytes + response_id: str + + type: Literal["audio"] = "audio" + + +@dataclass +class RealtimeModelAudioInterruptedEvent: + """Audio interrupted.""" + + type: Literal["audio_interrupted"] = "audio_interrupted" + + +@dataclass +class RealtimeModelAudioDoneEvent: + """Audio done.""" + + type: Literal["audio_done"] = "audio_done" + + +@dataclass +class RealtimeModelInputAudioTranscriptionCompletedEvent: + """Input audio transcription completed.""" + + item_id: str + transcript: str + + type: Literal["conversation.item.input_audio_transcription.completed"] = ( + "conversation.item.input_audio_transcription.completed" + ) + + +@dataclass +class RealtimeModelTranscriptDeltaEvent: + """Partial transcript update.""" + + item_id: str + delta: str + response_id: str + + type: Literal["transcript_delta"] = "transcript_delta" + + +@dataclass +class RealtimeModelItemUpdatedEvent: + """Item added to the history or updated.""" + + item: RealtimeItem + + type: Literal["item_updated"] = "item_updated" + + +@dataclass +class RealtimeModelItemDeletedEvent: + """Item deleted from the history.""" + + item_id: str + + type: Literal["item_deleted"] = "item_deleted" + + +@dataclass +class RealtimeModelConnectionStatusEvent: + """Connection status changed.""" + + status: RealtimeConnectionStatus + + type: Literal["connection_status"] = "connection_status" + + +@dataclass +class RealtimeModelTurnStartedEvent: + """Triggered when the model starts generating a response for a turn.""" + + type: Literal["turn_started"] = "turn_started" + + +@dataclass +class RealtimeModelTurnEndedEvent: + """Triggered when the model finishes generating a response for a turn.""" + + type: Literal["turn_ended"] = "turn_ended" + + +@dataclass +class RealtimeModelOtherEvent: + """Used as a catchall for vendor-specific events.""" + + data: Any + + type: Literal["other"] = "other" + + +# TODO (rm) Add usage events + + +RealtimeModelEvent: TypeAlias = Union[ + RealtimeModelErrorEvent, + RealtimeModelToolCallEvent, + RealtimeModelAudioEvent, + RealtimeModelAudioInterruptedEvent, + RealtimeModelAudioDoneEvent, + RealtimeModelInputAudioTranscriptionCompletedEvent, + RealtimeModelTranscriptDeltaEvent, + RealtimeModelItemUpdatedEvent, + RealtimeModelItemDeletedEvent, + RealtimeModelConnectionStatusEvent, + RealtimeModelTurnStartedEvent, + RealtimeModelTurnEndedEvent, + RealtimeModelOtherEvent, +] diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 6dc34bcf1..1806297af 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -1,9 +1,12 @@ +from __future__ import annotations + import asyncio import base64 +import inspect import json import os from datetime import datetime -from typing import Any +from typing import Any, Callable import websockets from openai.types.beta.realtime.realtime_server_event import ( @@ -12,52 +15,72 @@ from pydantic import TypeAdapter from websockets.asyncio.client import ClientConnection +from agents.util._types import MaybeAwaitable + from ..exceptions import UserError from ..logger import logger -from .config import RealtimeClientMessage, RealtimeUserInput, get_api_key +from .config import ( + RealtimeClientMessage, + RealtimeSessionModelSettings, + RealtimeUserInput, +) from .items import RealtimeMessageItem, RealtimeToolCallItem -from .transport import ( - RealtimeSessionTransport, - RealtimeTransportConnectionOptions, - RealtimeTransportListener, +from .model import ( + RealtimeModel, + RealtimeModelConfig, + RealtimeModelListener, ) -from .transport_events import ( - RealtimeTransportAudioDoneEvent, - RealtimeTransportAudioEvent, - RealtimeTransportAudioInterruptedEvent, - RealtimeTransportErrorEvent, - RealtimeTransportEvent, - RealtimeTransportInputAudioTranscriptionCompletedEvent, - RealtimeTransportItemDeletedEvent, - RealtimeTransportItemUpdatedEvent, - RealtimeTransportToolCallEvent, - RealtimeTransportTranscriptDelta, - RealtimeTransportTurnEndedEvent, - RealtimeTransportTurnStartedEvent, +from .model_events import ( + RealtimeModelAudioDoneEvent, + RealtimeModelAudioEvent, + RealtimeModelAudioInterruptedEvent, + RealtimeModelErrorEvent, + RealtimeModelEvent, + RealtimeModelInputAudioTranscriptionCompletedEvent, + RealtimeModelItemDeletedEvent, + RealtimeModelItemUpdatedEvent, + RealtimeModelToolCallEvent, + RealtimeModelTranscriptDeltaEvent, + RealtimeModelTurnEndedEvent, + RealtimeModelTurnStartedEvent, ) -class OpenAIRealtimeWebSocketTransport(RealtimeSessionTransport): +async def get_api_key(key: str | Callable[[], MaybeAwaitable[str]] | None) -> str | None: + if isinstance(key, str): + return key + elif callable(key): + result = key() + if inspect.isawaitable(result): + return await result + return result + + return os.getenv("OPENAI_API_KEY") + + +class OpenAIRealtimeWebSocketTransport(RealtimeModel): """A transport layer for realtime sessions that uses OpenAI's WebSocket API.""" def __init__(self) -> None: self.model = "gpt-4o-realtime-preview" # Default model self._websocket: ClientConnection | None = None self._websocket_task: asyncio.Task[None] | None = None - self._listeners: list[RealtimeTransportListener] = [] + self._listeners: list[RealtimeModelListener] = [] self._current_item_id: str | None = None self._audio_start_time: datetime | None = None self._audio_length_ms: float = 0.0 self._ongoing_response: bool = False self._current_audio_content_index: int | None = None - async def connect(self, options: RealtimeTransportConnectionOptions) -> None: + async def connect(self, options: RealtimeModelConfig) -> None: """Establish a connection to the model and keep it alive.""" assert self._websocket is None, "Already connected" assert self._websocket_task is None, "Already connected" - self.model = options.get("model", self.model) - api_key = await get_api_key(options.get("api_key", os.getenv("OPENAI_API_KEY"))) + model_settings: RealtimeSessionModelSettings = options.get("initial_model_settings", {}) + + self.model = model_settings.get("model_name", self.model) + api_key = await get_api_key(options.get("api_key")) if not api_key: raise UserError("API key is required but was not provided.") @@ -71,15 +94,15 @@ async def connect(self, options: RealtimeTransportConnectionOptions) -> None: self._websocket = await websockets.connect(url, additional_headers=headers) self._websocket_task = asyncio.create_task(self._listen_for_messages()) - def add_listener(self, listener: RealtimeTransportListener) -> None: + def add_listener(self, listener: RealtimeModelListener) -> None: """Add a listener to the transport.""" self._listeners.append(listener) - async def remove_listener(self, listener: RealtimeTransportListener) -> None: + async def remove_listener(self, listener: RealtimeModelListener) -> None: """Remove a listener from the transport.""" self._listeners.remove(listener) - async def _emit_event(self, event: RealtimeTransportEvent) -> None: + async def _emit_event(self, event: RealtimeModelEvent) -> None: """Emit an event to the listeners.""" for listener in self._listeners: await listener.on_event(event) @@ -154,7 +177,7 @@ async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: await self.send_event({"type": "input_audio_buffer.commit"}) async def send_tool_output( - self, tool_call: RealtimeTransportToolCallEvent, output: str, start_response: bool + self, tool_call: RealtimeModelToolCallEvent, output: str, start_response: bool ) -> None: """Send tool output to the model.""" await self.send_event( @@ -179,7 +202,7 @@ async def send_tool_output( name=tool_call.name, output=output, ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=tool_item)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=tool_item)) if start_response: await self.send_event({"type": "response.create"}) @@ -193,7 +216,7 @@ async def interrupt(self) -> None: elapsed_time_ms = (datetime.now() - self._audio_start_time).total_seconds() * 1000 if elapsed_time_ms > 0 and elapsed_time_ms < self._audio_length_ms: - await self._emit_event(RealtimeTransportAudioInterruptedEvent()) + await self._emit_event(RealtimeModelAudioInterruptedEvent()) await self.send_event( { "type": "conversation.item.truncate", @@ -231,9 +254,7 @@ async def _handle_ws_event(self, event: dict[str, Any]): ).validate_python(event) except Exception as e: logger.error(f"Invalid event: {event} - {e}") - await self._emit_event( - RealtimeTransportErrorEvent(error=f"Invalid event: {event} - {e}") - ) + await self._emit_event(RealtimeModelErrorEvent(error=f"Invalid event: {event} - {e}")) return if parsed.type == "response.audio.delta": @@ -247,25 +268,25 @@ async def _handle_ws_event(self, event: dict[str, Any]): # Calculate audio length in ms using 24KHz pcm16le self._audio_length_ms += len(audio_bytes) / 24 / 2 await self._emit_event( - RealtimeTransportAudioEvent(data=audio_bytes, response_id=parsed.response_id) + RealtimeModelAudioEvent(data=audio_bytes, response_id=parsed.response_id) ) elif parsed.type == "response.audio.done": - await self._emit_event(RealtimeTransportAudioDoneEvent()) + await self._emit_event(RealtimeModelAudioDoneEvent()) elif parsed.type == "input_audio_buffer.speech_started": await self.interrupt() elif parsed.type == "response.created": self._ongoing_response = True - await self._emit_event(RealtimeTransportTurnStartedEvent()) + await self._emit_event(RealtimeModelTurnStartedEvent()) elif parsed.type == "response.done": self._ongoing_response = False - await self._emit_event(RealtimeTransportTurnEndedEvent()) + await self._emit_event(RealtimeModelTurnEndedEvent()) elif parsed.type == "session.created": # TODO (rm) tracing stuff here pass elif parsed.type == "error": - await self._emit_event(RealtimeTransportErrorEvent(error=parsed.error)) + await self._emit_event(RealtimeModelErrorEvent(error=parsed.error)) elif parsed.type == "conversation.item.deleted": - await self._emit_event(RealtimeTransportItemDeletedEvent(item_id=parsed.item_id)) + await self._emit_event(RealtimeModelItemDeletedEvent(item_id=parsed.item_id)) elif ( parsed.type == "conversation.item.created" or parsed.type == "conversation.item.retrieved" @@ -284,7 +305,7 @@ async def _handle_ws_event(self, event: dict[str, Any]): "status": "in_progress", } ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=message_item)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=message_item)) elif ( parsed.type == "conversation.item.input_audio_transcription.completed" or parsed.type == "conversation.item.truncated" @@ -299,13 +320,13 @@ async def _handle_ws_event(self, event: dict[str, Any]): ) if parsed.type == "conversation.item.input_audio_transcription.completed": await self._emit_event( - RealtimeTransportInputAudioTranscriptionCompletedEvent( + RealtimeModelInputAudioTranscriptionCompletedEvent( item_id=parsed.item_id, transcript=parsed.transcript ) ) elif parsed.type == "response.audio_transcript.delta": await self._emit_event( - RealtimeTransportTranscriptDelta( + RealtimeModelTranscriptDeltaEvent( item_id=parsed.item_id, delta=parsed.delta, response_id=parsed.response_id ) ) @@ -333,9 +354,9 @@ async def _handle_ws_event(self, event: dict[str, Any]): name=item.name or "", output=None, ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=tool_call)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=tool_call)) await self._emit_event( - RealtimeTransportToolCallEvent( + RealtimeModelToolCallEvent( call_id=item.id or "", name=item.name or "", arguments=item.arguments or "", @@ -352,4 +373,4 @@ async def _handle_ws_event(self, event: dict[str, Any]): "status": "in_progress", } ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=message_item)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=message_item)) diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index fd2a0a3ff..44ec87821 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -10,11 +10,16 @@ from typing_extensions import TypeAlias, assert_never from ..handoffs import Handoff -from ..run_context import RunContextWrapper +from ..run_context import RunContextWrapper, TContext from ..tool import FunctionTool from ..tool_context import ToolContext from .agent import RealtimeAgent -from .config import APIKeyOrKeyFunc, RealtimeSessionConfig, RealtimeUserInput +from .config import ( + RealtimeModelName, + RealtimeRunConfig, + RealtimeSessionModelSettings, + RealtimeUserInput, +) from .events import ( RealtimeAgentEndEvent, RealtimeAgentStartEvent, @@ -32,18 +37,17 @@ RealtimeToolStart, ) from .items import InputAudio, InputText, RealtimeItem -from .openai_realtime import OpenAIRealtimeWebSocketTransport -from .transport import ( - RealtimeModelName, - RealtimeSessionTransport, - RealtimeTransportConnectionOptions, - RealtimeTransportListener, +from .model import ( + RealtimeModel, + RealtimeModelConfig, + RealtimeModelListener, ) -from .transport_events import ( - RealtimeTransportEvent, - RealtimeTransportInputAudioTranscriptionCompletedEvent, - RealtimeTransportToolCallEvent, +from .model_events import ( + RealtimeModelEvent, + RealtimeModelInputAudioTranscriptionCompletedEvent, + RealtimeModelToolCallEvent, ) +from .openai_realtime import OpenAIRealtimeWebSocketTransport class RealtimeSessionListener(abc.ABC): @@ -70,7 +74,7 @@ async def on_event(self, event: RealtimeSessionEvent) -> None: await self._func(event) -class RealtimeSession(RealtimeTransportListener): +class RealtimeSession(RealtimeModelListener): """A `RealtimeSession` is the equivalent of `Runner` for realtime agents. It automatically handles multiple turns by maintaining a persistent connection with the underlying transport layer. @@ -86,14 +90,10 @@ def __init__( self, starting_agent: RealtimeAgent, *, - context: Any | None = None, - transport: Literal["websocket"] | RealtimeSessionTransport = "websocket", - api_key: APIKeyOrKeyFunc | None = None, + context: TContext | None = None, + transport: Literal["websocket"] | RealtimeModel = "websocket", model: RealtimeModelName | None = None, - config: RealtimeSessionConfig | None = None, - # TODO (rm) Add guardrail support - # TODO (rm) Add tracing support - # TODO (rm) Add history audio storage config + config: RealtimeRunConfig | None = None, ) -> None: """Initialize the realtime session. @@ -111,12 +111,11 @@ def __init__( self._override_config = config self._history: list[RealtimeItem] = [] self._model = model - self._api_key = api_key self._listeners: list[RealtimeSessionListener] = [] if transport == "websocket": - self._transport: RealtimeSessionTransport = OpenAIRealtimeWebSocketTransport() + self._transport: RealtimeModel = OpenAIRealtimeWebSocketTransport() else: self._transport = transport @@ -129,29 +128,21 @@ async def __aexit__(self, _exc_type: Any, _exc_val: Any, _exc_tb: Any) -> None: """Async context manager exit.""" await self.end() - async def connect(self) -> None: + async def connect(self, *, model_config: RealtimeModelConfig | None = None) -> None: """Start the session: connect to the model and start the connection.""" self._transport.add_listener(self) - config = await self.create_session_config( - overrides=self._override_config, + model_settings = await self._get_model_settings( + initial_settings=model_config.get("initial_model_settings") if model_config else None, + overrides=self._override_config.get("model_settings") + if self._override_config + else None, ) - options: RealtimeTransportConnectionOptions = { - "initial_session_config": config, - } + model_config = model_config.copy() if model_config else {} + model_config["initial_model_settings"] = model_settings - if config.get("api_key") is not None: - options["api_key"] = config["api_key"] - elif self._api_key is not None: - options["api_key"] = self._api_key - - if config.get("model") is not None: - options["model"] = config["model"] - elif self._model is not None: - options["model"] = self._model - - await self._transport.connect(options) + await self._transport.connect(model_config) await self._emit_event( RealtimeHistoryUpdated( @@ -183,28 +174,28 @@ def remove_listener( self._listeners.remove(x) break - async def create_session_config( - self, overrides: RealtimeSessionConfig | None = None - ) -> RealtimeSessionConfig: - """Create the session config.""" + async def _get_model_settings( + self, + initial_settings: RealtimeSessionModelSettings | None = None, + overrides: RealtimeSessionModelSettings | None = None, + ) -> RealtimeSessionModelSettings: + model_settings = initial_settings.copy() if initial_settings else {} + agent = self._current_agent instructions, tools = await asyncio.gather( agent.get_system_prompt(self._context_wrapper), agent.get_all_tools(self._context_wrapper), ) - config = RealtimeSessionConfig() - if self._model is not None: - config["model"] = self._model if instructions is not None: - config["instructions"] = instructions + model_settings["instructions"] = instructions if tools is not None: - config["tools"] = [tool for tool in tools if isinstance(tool, FunctionTool)] + model_settings["tools"] = tools if overrides: - config.update(overrides) + model_settings.update(overrides) - return config + return model_settings async def send_message(self, message: RealtimeUserInput) -> None: """Send a message to the model.""" @@ -218,7 +209,7 @@ async def interrupt(self) -> None: """Interrupt the model.""" await self._transport.interrupt() - async def on_event(self, event: RealtimeTransportEvent) -> None: + async def on_event(self, event: RealtimeModelEvent) -> None: """Called when an event is emitted by the realtime transport.""" await self._emit_event(RealtimeRawTransportEvent(data=event, info=self._event_info)) @@ -284,7 +275,7 @@ async def _emit_event(self, event: RealtimeSessionEvent) -> None: """Emit an event to the listeners.""" await asyncio.gather(*[listener.on_event(event) for listener in self._listeners]) - async def _handle_tool_call(self, event: RealtimeTransportToolCallEvent) -> None: + async def _handle_tool_call(self, event: RealtimeModelToolCallEvent) -> None: all_tools = await self._current_agent.get_all_tools(self._context_wrapper) function_map = {tool.name: tool for tool in all_tools if isinstance(tool, FunctionTool)} handoff_map = {tool.name: tool for tool in all_tools if isinstance(tool, Handoff)} @@ -322,10 +313,10 @@ async def _handle_tool_call(self, event: RealtimeTransportToolCallEvent) -> None def _get_new_history( self, old_history: list[RealtimeItem], - event: RealtimeTransportInputAudioTranscriptionCompletedEvent | RealtimeItem, + event: RealtimeModelInputAudioTranscriptionCompletedEvent | RealtimeItem, ) -> list[RealtimeItem]: # Merge transcript into placeholder input_audio message. - if isinstance(event, RealtimeTransportInputAudioTranscriptionCompletedEvent): + if isinstance(event, RealtimeModelInputAudioTranscriptionCompletedEvent): new_history: list[RealtimeItem] = [] for item in old_history: if item.item_id == event.item_id and item.type == "message" and item.role == "user": diff --git a/tests/realtime/test_model_events.py b/tests/realtime/test_model_events.py new file mode 100644 index 000000000..b8696cc29 --- /dev/null +++ b/tests/realtime/test_model_events.py @@ -0,0 +1,12 @@ +from typing import get_args + +from agents.realtime.model_events import RealtimeModelEvent + + +def test_all_events_have_type() -> None: + """Test that all events have a type.""" + events = get_args(RealtimeModelEvent) + assert len(events) > 0 + for event in events: + assert event.type is not None + assert isinstance(event.type, str) From e0f956b7c4248cd25824fceb11a13d8d970df1eb Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 15:14:52 -0400 Subject: [PATCH 187/337] [8/n] Make realtime more like the rest of agents sdk Key changes: 1. Transport -> model. 2. Extract any model settings into `RealtimeSessionModelSettings`. 3. RealtimeRunConfig, similar to the RunConfig in `run.py`. Next PR I'll update session to be better. --- src/agents/realtime/__init__.py | 40 +++++-- src/agents/realtime/config.py | 51 ++++----- src/agents/realtime/events.py | 6 +- src/agents/realtime/model.py | 97 ++++++++++++++++ src/agents/realtime/model_events.py | 150 +++++++++++++++++++++++++ src/agents/realtime/openai_realtime.py | 117 +++++++++++-------- src/agents/realtime/session.py | 99 ++++++++-------- tests/realtime/test_model_events.py | 12 ++ 8 files changed, 431 insertions(+), 141 deletions(-) create mode 100644 src/agents/realtime/model.py create mode 100644 src/agents/realtime/model_events.py create mode 100644 tests/realtime/test_model_events.py diff --git a/src/agents/realtime/__init__.py b/src/agents/realtime/__init__.py index 7e5d4932a..d2e258e33 100644 --- a/src/agents/realtime/__init__.py +++ b/src/agents/realtime/__init__.py @@ -1,5 +1,16 @@ from .agent import RealtimeAgent, RealtimeAgentHooks, RealtimeRunHooks -from .config import APIKeyOrKeyFunc +from .config import ( + RealtimeAudioFormat, + RealtimeClientMessage, + RealtimeInputAudioTranscriptionConfig, + RealtimeModelName, + RealtimeRunConfig, + RealtimeSessionModelSettings, + RealtimeTurnDetectionConfig, + RealtimeUserInput, + RealtimeUserInputMessage, + RealtimeUserInputText, +) from .events import ( RealtimeAgentEndEvent, RealtimeAgentStartEvent, @@ -15,13 +26,12 @@ RealtimeToolEnd, RealtimeToolStart, ) -from .session import RealtimeSession -from .transport import ( - RealtimeModelName, - RealtimeSessionTransport, - RealtimeTransportConnectionOptions, - RealtimeTransportListener, +from .model import ( + RealtimeModel, + RealtimeModelConfig, + RealtimeModelListener, ) +from .session import RealtimeSession __all__ = [ "RealtimeAgent", @@ -30,11 +40,19 @@ "RealtimeSession", "RealtimeSessionListener", "RealtimeSessionListenerFunc", - "APIKeyOrKeyFunc", + "RealtimeRunConfig", + "RealtimeSessionModelSettings", + "RealtimeInputAudioTranscriptionConfig", + "RealtimeTurnDetectionConfig", + "RealtimeAudioFormat", + "RealtimeClientMessage", + "RealtimeUserInput", + "RealtimeUserInputMessage", + "RealtimeUserInputText", "RealtimeModelName", - "RealtimeSessionTransport", - "RealtimeTransportListener", - "RealtimeTransportConnectionOptions", + "RealtimeModel", + "RealtimeModelListener", + "RealtimeModelConfig", "RealtimeSessionEvent", "RealtimeAgentStartEvent", "RealtimeAgentEndEvent", diff --git a/src/agents/realtime/config.py b/src/agents/realtime/config.py index aa15c837d..459a03a9a 100644 --- a/src/agents/realtime/config.py +++ b/src/agents/realtime/config.py @@ -1,9 +1,7 @@ from __future__ import annotations -import inspect from typing import ( Any, - Callable, Literal, Union, ) @@ -11,8 +9,20 @@ from typing_extensions import NotRequired, TypeAlias, TypedDict from ..model_settings import ToolChoice -from ..tool import FunctionTool -from ..util._types import MaybeAwaitable +from ..tool import Tool + +RealtimeModelName: TypeAlias = Union[ + Literal[ + "gpt-4o-realtime-preview", + "gpt-4o-mini-realtime-preview", + "gpt-4o-realtime-preview-2025-06-03", + "gpt-4o-realtime-preview-2024-12-17", + "gpt-4o-realtime-preview-2024-10-01", + "gpt-4o-mini-realtime-preview-2024-12-17", + ], + str, +] +"""The name of a realtime model.""" class RealtimeClientMessage(TypedDict): @@ -20,7 +30,7 @@ class RealtimeClientMessage(TypedDict): other_data: NotRequired[dict[str, Any]] -class UserInputText(TypedDict): +class RealtimeUserInputText(TypedDict): type: Literal["input_text"] text: str @@ -28,7 +38,7 @@ class UserInputText(TypedDict): class RealtimeUserInputMessage(TypedDict): type: Literal["message"] role: Literal["user"] - content: list[UserInputText] + content: list[RealtimeUserInputText] RealtimeUserInput: TypeAlias = Union[str, RealtimeUserInputMessage] @@ -55,9 +65,11 @@ class RealtimeTurnDetectionConfig(TypedDict): threshold: NotRequired[float] -class RealtimeSessionConfig(TypedDict): - api_key: NotRequired[APIKeyOrKeyFunc] - model: NotRequired[str] +class RealtimeSessionModelSettings(TypedDict): + """Model settings for a realtime model session.""" + + model_name: NotRequired[RealtimeModelName] + instructions: NotRequired[str] modalities: NotRequired[list[Literal["text", "audio"]]] voice: NotRequired[str] @@ -68,24 +80,13 @@ class RealtimeSessionConfig(TypedDict): turn_detection: NotRequired[RealtimeTurnDetectionConfig] tool_choice: NotRequired[ToolChoice] - tools: NotRequired[list[FunctionTool]] - - -APIKeyOrKeyFunc = str | Callable[[], MaybeAwaitable[str]] -"""Either an API key or a function that returns an API key.""" - + tools: NotRequired[list[Tool]] -async def get_api_key(key: APIKeyOrKeyFunc | None) -> str | None: - """Get the API key from the key or key function.""" - if key is None: - return None - elif isinstance(key, str): - return key - result = key() - if inspect.isawaitable(result): - return await result - return result +class RealtimeRunConfig(TypedDict): + model_settings: NotRequired[RealtimeSessionModelSettings] # TODO (rm) Add tracing support # tracing: NotRequired[RealtimeTracingConfig | None] + # TODO (rm) Add guardrail support + # TODO (rm) Add history audio storage config diff --git a/src/agents/realtime/events.py b/src/agents/realtime/events.py index bd6b7b5b0..c96357e1a 100644 --- a/src/agents/realtime/events.py +++ b/src/agents/realtime/events.py @@ -7,7 +7,7 @@ from ..tool import Tool from .agent import RealtimeAgent from .items import RealtimeItem -from .transport_events import RealtimeTransportAudioEvent, RealtimeTransportEvent +from .model_events import RealtimeModelAudioEvent, RealtimeModelEvent @dataclass @@ -96,7 +96,7 @@ class RealtimeToolEnd: class RealtimeRawTransportEvent: """Forwards raw events from the transport layer.""" - data: RealtimeTransportEvent + data: RealtimeModelEvent """The raw data from the transport layer.""" info: RealtimeEventInfo @@ -119,7 +119,7 @@ class RealtimeAudioEnd: class RealtimeAudio: """Triggered when the agent generates new audio to be played.""" - audio: RealtimeTransportAudioEvent + audio: RealtimeModelAudioEvent """The audio event from the transport layer.""" info: RealtimeEventInfo diff --git a/src/agents/realtime/model.py b/src/agents/realtime/model.py new file mode 100644 index 000000000..42566cdc1 --- /dev/null +++ b/src/agents/realtime/model.py @@ -0,0 +1,97 @@ +import abc +from typing import Any, Callable + +from typing_extensions import NotRequired, TypedDict + +from ..util._types import MaybeAwaitable +from .config import ( + RealtimeClientMessage, + RealtimeSessionModelSettings, + RealtimeUserInput, +) +from .model_events import RealtimeModelEvent, RealtimeModelToolCallEvent + + +class RealtimeModelListener(abc.ABC): + """A listener for realtime transport events.""" + + @abc.abstractmethod + async def on_event(self, event: RealtimeModelEvent) -> None: + """Called when an event is emitted by the realtime transport.""" + pass + + +class RealtimeModelConfig(TypedDict): + """Options for connecting to a realtime model.""" + + api_key: NotRequired[str | Callable[[], MaybeAwaitable[str]]] + """The API key (or function that returns a key) to use when connecting. If unset, the model will + try to use a sane default. For example, the OpenAI Realtime model will try to use the + `OPENAI_API_KEY` environment variable. + """ + + url: NotRequired[str] + """The URL to use when connecting. If unset, the model will use a sane default. For example, + the OpenAI Realtime model will use the default OpenAI WebSocket URL. + """ + + initial_model_settings: NotRequired[RealtimeSessionModelSettings] + + +class RealtimeModel(abc.ABC): + """Interface for connecting to a realtime model and sending/receiving events.""" + + @abc.abstractmethod + async def connect(self, options: RealtimeModelConfig) -> None: + """Establish a connection to the model and keep it alive.""" + pass + + @abc.abstractmethod + def add_listener(self, listener: RealtimeModelListener) -> None: + """Add a listener to the model.""" + pass + + @abc.abstractmethod + async def remove_listener(self, listener: RealtimeModelListener) -> None: + """Remove a listener from the model.""" + pass + + @abc.abstractmethod + async def send_event(self, event: RealtimeClientMessage) -> None: + """Send an event to the model.""" + pass + + @abc.abstractmethod + async def send_message( + self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None + ) -> None: + """Send a message to the model.""" + pass + + @abc.abstractmethod + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Send a raw audio chunk to the model. + + Args: + audio: The audio data to send. + commit: Whether to commit the audio buffer to the model. If the model does not do turn + detection, this can be used to indicate the turn is completed. + """ + pass + + @abc.abstractmethod + async def send_tool_output( + self, tool_call: RealtimeModelToolCallEvent, output: str, start_response: bool + ) -> None: + """Send tool output to the model.""" + pass + + @abc.abstractmethod + async def interrupt(self) -> None: + """Interrupt the model. For example, could be triggered by a guardrail.""" + pass + + @abc.abstractmethod + async def close(self) -> None: + """Close the session.""" + pass diff --git a/src/agents/realtime/model_events.py b/src/agents/realtime/model_events.py new file mode 100644 index 000000000..a9769cebd --- /dev/null +++ b/src/agents/realtime/model_events.py @@ -0,0 +1,150 @@ +from __future__ import annotations + +from dataclasses import dataclass +from typing import Any, Literal, Union + +from typing_extensions import TypeAlias + +from .items import RealtimeItem + +RealtimeConnectionStatus: TypeAlias = Literal["connecting", "connected", "disconnected"] + + +@dataclass +class RealtimeModelErrorEvent: + """Represents a transport‑layer error.""" + + error: Any + + type: Literal["error"] = "error" + + +@dataclass +class RealtimeModelToolCallEvent: + """Model attempted a tool/function call.""" + + name: str + call_id: str + arguments: str + + id: str | None = None + previous_item_id: str | None = None + + type: Literal["function_call"] = "function_call" + + +@dataclass +class RealtimeModelAudioEvent: + """Raw audio bytes emitted by the model.""" + + data: bytes + response_id: str + + type: Literal["audio"] = "audio" + + +@dataclass +class RealtimeModelAudioInterruptedEvent: + """Audio interrupted.""" + + type: Literal["audio_interrupted"] = "audio_interrupted" + + +@dataclass +class RealtimeModelAudioDoneEvent: + """Audio done.""" + + type: Literal["audio_done"] = "audio_done" + + +@dataclass +class RealtimeModelInputAudioTranscriptionCompletedEvent: + """Input audio transcription completed.""" + + item_id: str + transcript: str + + type: Literal["conversation.item.input_audio_transcription.completed"] = ( + "conversation.item.input_audio_transcription.completed" + ) + + +@dataclass +class RealtimeModelTranscriptDeltaEvent: + """Partial transcript update.""" + + item_id: str + delta: str + response_id: str + + type: Literal["transcript_delta"] = "transcript_delta" + + +@dataclass +class RealtimeModelItemUpdatedEvent: + """Item added to the history or updated.""" + + item: RealtimeItem + + type: Literal["item_updated"] = "item_updated" + + +@dataclass +class RealtimeModelItemDeletedEvent: + """Item deleted from the history.""" + + item_id: str + + type: Literal["item_deleted"] = "item_deleted" + + +@dataclass +class RealtimeModelConnectionStatusEvent: + """Connection status changed.""" + + status: RealtimeConnectionStatus + + type: Literal["connection_status"] = "connection_status" + + +@dataclass +class RealtimeModelTurnStartedEvent: + """Triggered when the model starts generating a response for a turn.""" + + type: Literal["turn_started"] = "turn_started" + + +@dataclass +class RealtimeModelTurnEndedEvent: + """Triggered when the model finishes generating a response for a turn.""" + + type: Literal["turn_ended"] = "turn_ended" + + +@dataclass +class RealtimeModelOtherEvent: + """Used as a catchall for vendor-specific events.""" + + data: Any + + type: Literal["other"] = "other" + + +# TODO (rm) Add usage events + + +RealtimeModelEvent: TypeAlias = Union[ + RealtimeModelErrorEvent, + RealtimeModelToolCallEvent, + RealtimeModelAudioEvent, + RealtimeModelAudioInterruptedEvent, + RealtimeModelAudioDoneEvent, + RealtimeModelInputAudioTranscriptionCompletedEvent, + RealtimeModelTranscriptDeltaEvent, + RealtimeModelItemUpdatedEvent, + RealtimeModelItemDeletedEvent, + RealtimeModelConnectionStatusEvent, + RealtimeModelTurnStartedEvent, + RealtimeModelTurnEndedEvent, + RealtimeModelOtherEvent, +] diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 6dc34bcf1..a1bf1482a 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -1,9 +1,12 @@ +from __future__ import annotations + import asyncio import base64 +import inspect import json import os from datetime import datetime -from typing import Any +from typing import Any, Callable import websockets from openai.types.beta.realtime.realtime_server_event import ( @@ -12,52 +15,72 @@ from pydantic import TypeAdapter from websockets.asyncio.client import ClientConnection +from agents.util._types import MaybeAwaitable + from ..exceptions import UserError from ..logger import logger -from .config import RealtimeClientMessage, RealtimeUserInput, get_api_key +from .config import ( + RealtimeClientMessage, + RealtimeSessionModelSettings, + RealtimeUserInput, +) from .items import RealtimeMessageItem, RealtimeToolCallItem -from .transport import ( - RealtimeSessionTransport, - RealtimeTransportConnectionOptions, - RealtimeTransportListener, +from .model import ( + RealtimeModel, + RealtimeModelConfig, + RealtimeModelListener, ) -from .transport_events import ( - RealtimeTransportAudioDoneEvent, - RealtimeTransportAudioEvent, - RealtimeTransportAudioInterruptedEvent, - RealtimeTransportErrorEvent, - RealtimeTransportEvent, - RealtimeTransportInputAudioTranscriptionCompletedEvent, - RealtimeTransportItemDeletedEvent, - RealtimeTransportItemUpdatedEvent, - RealtimeTransportToolCallEvent, - RealtimeTransportTranscriptDelta, - RealtimeTransportTurnEndedEvent, - RealtimeTransportTurnStartedEvent, +from .model_events import ( + RealtimeModelAudioDoneEvent, + RealtimeModelAudioEvent, + RealtimeModelAudioInterruptedEvent, + RealtimeModelErrorEvent, + RealtimeModelEvent, + RealtimeModelInputAudioTranscriptionCompletedEvent, + RealtimeModelItemDeletedEvent, + RealtimeModelItemUpdatedEvent, + RealtimeModelToolCallEvent, + RealtimeModelTranscriptDeltaEvent, + RealtimeModelTurnEndedEvent, + RealtimeModelTurnStartedEvent, ) -class OpenAIRealtimeWebSocketTransport(RealtimeSessionTransport): - """A transport layer for realtime sessions that uses OpenAI's WebSocket API.""" +async def get_api_key(key: str | Callable[[], MaybeAwaitable[str]] | None) -> str | None: + if isinstance(key, str): + return key + elif callable(key): + result = key() + if inspect.isawaitable(result): + return await result + return result + + return os.getenv("OPENAI_API_KEY") + + +class OpenAIRealtimeWebSocketModel(RealtimeModel): + """A model that uses OpenAI's WebSocket API.""" def __init__(self) -> None: self.model = "gpt-4o-realtime-preview" # Default model self._websocket: ClientConnection | None = None self._websocket_task: asyncio.Task[None] | None = None - self._listeners: list[RealtimeTransportListener] = [] + self._listeners: list[RealtimeModelListener] = [] self._current_item_id: str | None = None self._audio_start_time: datetime | None = None self._audio_length_ms: float = 0.0 self._ongoing_response: bool = False self._current_audio_content_index: int | None = None - async def connect(self, options: RealtimeTransportConnectionOptions) -> None: + async def connect(self, options: RealtimeModelConfig) -> None: """Establish a connection to the model and keep it alive.""" assert self._websocket is None, "Already connected" assert self._websocket_task is None, "Already connected" - self.model = options.get("model", self.model) - api_key = await get_api_key(options.get("api_key", os.getenv("OPENAI_API_KEY"))) + model_settings: RealtimeSessionModelSettings = options.get("initial_model_settings", {}) + + self.model = model_settings.get("model_name", self.model) + api_key = await get_api_key(options.get("api_key")) if not api_key: raise UserError("API key is required but was not provided.") @@ -71,15 +94,15 @@ async def connect(self, options: RealtimeTransportConnectionOptions) -> None: self._websocket = await websockets.connect(url, additional_headers=headers) self._websocket_task = asyncio.create_task(self._listen_for_messages()) - def add_listener(self, listener: RealtimeTransportListener) -> None: - """Add a listener to the transport.""" + def add_listener(self, listener: RealtimeModelListener) -> None: + """Add a listener to the model.""" self._listeners.append(listener) - async def remove_listener(self, listener: RealtimeTransportListener) -> None: - """Remove a listener from the transport.""" + async def remove_listener(self, listener: RealtimeModelListener) -> None: + """Remove a listener from the model.""" self._listeners.remove(listener) - async def _emit_event(self, event: RealtimeTransportEvent) -> None: + async def _emit_event(self, event: RealtimeModelEvent) -> None: """Emit an event to the listeners.""" for listener in self._listeners: await listener.on_event(event) @@ -154,7 +177,7 @@ async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: await self.send_event({"type": "input_audio_buffer.commit"}) async def send_tool_output( - self, tool_call: RealtimeTransportToolCallEvent, output: str, start_response: bool + self, tool_call: RealtimeModelToolCallEvent, output: str, start_response: bool ) -> None: """Send tool output to the model.""" await self.send_event( @@ -179,7 +202,7 @@ async def send_tool_output( name=tool_call.name, output=output, ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=tool_item)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=tool_item)) if start_response: await self.send_event({"type": "response.create"}) @@ -193,7 +216,7 @@ async def interrupt(self) -> None: elapsed_time_ms = (datetime.now() - self._audio_start_time).total_seconds() * 1000 if elapsed_time_ms > 0 and elapsed_time_ms < self._audio_length_ms: - await self._emit_event(RealtimeTransportAudioInterruptedEvent()) + await self._emit_event(RealtimeModelAudioInterruptedEvent()) await self.send_event( { "type": "conversation.item.truncate", @@ -231,9 +254,7 @@ async def _handle_ws_event(self, event: dict[str, Any]): ).validate_python(event) except Exception as e: logger.error(f"Invalid event: {event} - {e}") - await self._emit_event( - RealtimeTransportErrorEvent(error=f"Invalid event: {event} - {e}") - ) + await self._emit_event(RealtimeModelErrorEvent(error=f"Invalid event: {event} - {e}")) return if parsed.type == "response.audio.delta": @@ -247,25 +268,25 @@ async def _handle_ws_event(self, event: dict[str, Any]): # Calculate audio length in ms using 24KHz pcm16le self._audio_length_ms += len(audio_bytes) / 24 / 2 await self._emit_event( - RealtimeTransportAudioEvent(data=audio_bytes, response_id=parsed.response_id) + RealtimeModelAudioEvent(data=audio_bytes, response_id=parsed.response_id) ) elif parsed.type == "response.audio.done": - await self._emit_event(RealtimeTransportAudioDoneEvent()) + await self._emit_event(RealtimeModelAudioDoneEvent()) elif parsed.type == "input_audio_buffer.speech_started": await self.interrupt() elif parsed.type == "response.created": self._ongoing_response = True - await self._emit_event(RealtimeTransportTurnStartedEvent()) + await self._emit_event(RealtimeModelTurnStartedEvent()) elif parsed.type == "response.done": self._ongoing_response = False - await self._emit_event(RealtimeTransportTurnEndedEvent()) + await self._emit_event(RealtimeModelTurnEndedEvent()) elif parsed.type == "session.created": # TODO (rm) tracing stuff here pass elif parsed.type == "error": - await self._emit_event(RealtimeTransportErrorEvent(error=parsed.error)) + await self._emit_event(RealtimeModelErrorEvent(error=parsed.error)) elif parsed.type == "conversation.item.deleted": - await self._emit_event(RealtimeTransportItemDeletedEvent(item_id=parsed.item_id)) + await self._emit_event(RealtimeModelItemDeletedEvent(item_id=parsed.item_id)) elif ( parsed.type == "conversation.item.created" or parsed.type == "conversation.item.retrieved" @@ -284,7 +305,7 @@ async def _handle_ws_event(self, event: dict[str, Any]): "status": "in_progress", } ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=message_item)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=message_item)) elif ( parsed.type == "conversation.item.input_audio_transcription.completed" or parsed.type == "conversation.item.truncated" @@ -299,13 +320,13 @@ async def _handle_ws_event(self, event: dict[str, Any]): ) if parsed.type == "conversation.item.input_audio_transcription.completed": await self._emit_event( - RealtimeTransportInputAudioTranscriptionCompletedEvent( + RealtimeModelInputAudioTranscriptionCompletedEvent( item_id=parsed.item_id, transcript=parsed.transcript ) ) elif parsed.type == "response.audio_transcript.delta": await self._emit_event( - RealtimeTransportTranscriptDelta( + RealtimeModelTranscriptDeltaEvent( item_id=parsed.item_id, delta=parsed.delta, response_id=parsed.response_id ) ) @@ -333,9 +354,9 @@ async def _handle_ws_event(self, event: dict[str, Any]): name=item.name or "", output=None, ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=tool_call)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=tool_call)) await self._emit_event( - RealtimeTransportToolCallEvent( + RealtimeModelToolCallEvent( call_id=item.id or "", name=item.name or "", arguments=item.arguments or "", @@ -352,4 +373,4 @@ async def _handle_ws_event(self, event: dict[str, Any]): "status": "in_progress", } ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=message_item)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=message_item)) diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index fd2a0a3ff..44ec87821 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -10,11 +10,16 @@ from typing_extensions import TypeAlias, assert_never from ..handoffs import Handoff -from ..run_context import RunContextWrapper +from ..run_context import RunContextWrapper, TContext from ..tool import FunctionTool from ..tool_context import ToolContext from .agent import RealtimeAgent -from .config import APIKeyOrKeyFunc, RealtimeSessionConfig, RealtimeUserInput +from .config import ( + RealtimeModelName, + RealtimeRunConfig, + RealtimeSessionModelSettings, + RealtimeUserInput, +) from .events import ( RealtimeAgentEndEvent, RealtimeAgentStartEvent, @@ -32,18 +37,17 @@ RealtimeToolStart, ) from .items import InputAudio, InputText, RealtimeItem -from .openai_realtime import OpenAIRealtimeWebSocketTransport -from .transport import ( - RealtimeModelName, - RealtimeSessionTransport, - RealtimeTransportConnectionOptions, - RealtimeTransportListener, +from .model import ( + RealtimeModel, + RealtimeModelConfig, + RealtimeModelListener, ) -from .transport_events import ( - RealtimeTransportEvent, - RealtimeTransportInputAudioTranscriptionCompletedEvent, - RealtimeTransportToolCallEvent, +from .model_events import ( + RealtimeModelEvent, + RealtimeModelInputAudioTranscriptionCompletedEvent, + RealtimeModelToolCallEvent, ) +from .openai_realtime import OpenAIRealtimeWebSocketTransport class RealtimeSessionListener(abc.ABC): @@ -70,7 +74,7 @@ async def on_event(self, event: RealtimeSessionEvent) -> None: await self._func(event) -class RealtimeSession(RealtimeTransportListener): +class RealtimeSession(RealtimeModelListener): """A `RealtimeSession` is the equivalent of `Runner` for realtime agents. It automatically handles multiple turns by maintaining a persistent connection with the underlying transport layer. @@ -86,14 +90,10 @@ def __init__( self, starting_agent: RealtimeAgent, *, - context: Any | None = None, - transport: Literal["websocket"] | RealtimeSessionTransport = "websocket", - api_key: APIKeyOrKeyFunc | None = None, + context: TContext | None = None, + transport: Literal["websocket"] | RealtimeModel = "websocket", model: RealtimeModelName | None = None, - config: RealtimeSessionConfig | None = None, - # TODO (rm) Add guardrail support - # TODO (rm) Add tracing support - # TODO (rm) Add history audio storage config + config: RealtimeRunConfig | None = None, ) -> None: """Initialize the realtime session. @@ -111,12 +111,11 @@ def __init__( self._override_config = config self._history: list[RealtimeItem] = [] self._model = model - self._api_key = api_key self._listeners: list[RealtimeSessionListener] = [] if transport == "websocket": - self._transport: RealtimeSessionTransport = OpenAIRealtimeWebSocketTransport() + self._transport: RealtimeModel = OpenAIRealtimeWebSocketTransport() else: self._transport = transport @@ -129,29 +128,21 @@ async def __aexit__(self, _exc_type: Any, _exc_val: Any, _exc_tb: Any) -> None: """Async context manager exit.""" await self.end() - async def connect(self) -> None: + async def connect(self, *, model_config: RealtimeModelConfig | None = None) -> None: """Start the session: connect to the model and start the connection.""" self._transport.add_listener(self) - config = await self.create_session_config( - overrides=self._override_config, + model_settings = await self._get_model_settings( + initial_settings=model_config.get("initial_model_settings") if model_config else None, + overrides=self._override_config.get("model_settings") + if self._override_config + else None, ) - options: RealtimeTransportConnectionOptions = { - "initial_session_config": config, - } + model_config = model_config.copy() if model_config else {} + model_config["initial_model_settings"] = model_settings - if config.get("api_key") is not None: - options["api_key"] = config["api_key"] - elif self._api_key is not None: - options["api_key"] = self._api_key - - if config.get("model") is not None: - options["model"] = config["model"] - elif self._model is not None: - options["model"] = self._model - - await self._transport.connect(options) + await self._transport.connect(model_config) await self._emit_event( RealtimeHistoryUpdated( @@ -183,28 +174,28 @@ def remove_listener( self._listeners.remove(x) break - async def create_session_config( - self, overrides: RealtimeSessionConfig | None = None - ) -> RealtimeSessionConfig: - """Create the session config.""" + async def _get_model_settings( + self, + initial_settings: RealtimeSessionModelSettings | None = None, + overrides: RealtimeSessionModelSettings | None = None, + ) -> RealtimeSessionModelSettings: + model_settings = initial_settings.copy() if initial_settings else {} + agent = self._current_agent instructions, tools = await asyncio.gather( agent.get_system_prompt(self._context_wrapper), agent.get_all_tools(self._context_wrapper), ) - config = RealtimeSessionConfig() - if self._model is not None: - config["model"] = self._model if instructions is not None: - config["instructions"] = instructions + model_settings["instructions"] = instructions if tools is not None: - config["tools"] = [tool for tool in tools if isinstance(tool, FunctionTool)] + model_settings["tools"] = tools if overrides: - config.update(overrides) + model_settings.update(overrides) - return config + return model_settings async def send_message(self, message: RealtimeUserInput) -> None: """Send a message to the model.""" @@ -218,7 +209,7 @@ async def interrupt(self) -> None: """Interrupt the model.""" await self._transport.interrupt() - async def on_event(self, event: RealtimeTransportEvent) -> None: + async def on_event(self, event: RealtimeModelEvent) -> None: """Called when an event is emitted by the realtime transport.""" await self._emit_event(RealtimeRawTransportEvent(data=event, info=self._event_info)) @@ -284,7 +275,7 @@ async def _emit_event(self, event: RealtimeSessionEvent) -> None: """Emit an event to the listeners.""" await asyncio.gather(*[listener.on_event(event) for listener in self._listeners]) - async def _handle_tool_call(self, event: RealtimeTransportToolCallEvent) -> None: + async def _handle_tool_call(self, event: RealtimeModelToolCallEvent) -> None: all_tools = await self._current_agent.get_all_tools(self._context_wrapper) function_map = {tool.name: tool for tool in all_tools if isinstance(tool, FunctionTool)} handoff_map = {tool.name: tool for tool in all_tools if isinstance(tool, Handoff)} @@ -322,10 +313,10 @@ async def _handle_tool_call(self, event: RealtimeTransportToolCallEvent) -> None def _get_new_history( self, old_history: list[RealtimeItem], - event: RealtimeTransportInputAudioTranscriptionCompletedEvent | RealtimeItem, + event: RealtimeModelInputAudioTranscriptionCompletedEvent | RealtimeItem, ) -> list[RealtimeItem]: # Merge transcript into placeholder input_audio message. - if isinstance(event, RealtimeTransportInputAudioTranscriptionCompletedEvent): + if isinstance(event, RealtimeModelInputAudioTranscriptionCompletedEvent): new_history: list[RealtimeItem] = [] for item in old_history: if item.item_id == event.item_id and item.type == "message" and item.role == "user": diff --git a/tests/realtime/test_model_events.py b/tests/realtime/test_model_events.py new file mode 100644 index 000000000..b8696cc29 --- /dev/null +++ b/tests/realtime/test_model_events.py @@ -0,0 +1,12 @@ +from typing import get_args + +from agents.realtime.model_events import RealtimeModelEvent + + +def test_all_events_have_type() -> None: + """Test that all events have a type.""" + events = get_args(RealtimeModelEvent) + assert len(events) > 0 + for event in events: + assert event.type is not None + assert isinstance(event.type, str) From 4cb44e9f294b4f2b7c306d2a5f04b2680b890694 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 15:14:52 -0400 Subject: [PATCH 188/337] [8/n] Make realtime more like the rest of agents sdk Key changes: 1. Transport -> model. 2. Extract any model settings into `RealtimeSessionModelSettings`. 3. RealtimeRunConfig, similar to the RunConfig in `run.py`. Next PR I'll update session to be better. --- src/agents/realtime/__init__.py | 40 ++++-- src/agents/realtime/config.py | 51 ++++---- src/agents/realtime/events.py | 6 +- src/agents/realtime/model.py | 97 +++++++++++++++ .../{transport_events.py => model_events.py} | 54 ++++---- src/agents/realtime/openai_realtime.py | 117 +++++++++++------- src/agents/realtime/session.py | 99 +++++++-------- src/agents/realtime/transport.py | 107 ---------------- tests/realtime/test_model_events.py | 12 ++ 9 files changed, 308 insertions(+), 275 deletions(-) create mode 100644 src/agents/realtime/model.py rename src/agents/realtime/{transport_events.py => model_events.py} (66%) delete mode 100644 src/agents/realtime/transport.py create mode 100644 tests/realtime/test_model_events.py diff --git a/src/agents/realtime/__init__.py b/src/agents/realtime/__init__.py index 7e5d4932a..d2e258e33 100644 --- a/src/agents/realtime/__init__.py +++ b/src/agents/realtime/__init__.py @@ -1,5 +1,16 @@ from .agent import RealtimeAgent, RealtimeAgentHooks, RealtimeRunHooks -from .config import APIKeyOrKeyFunc +from .config import ( + RealtimeAudioFormat, + RealtimeClientMessage, + RealtimeInputAudioTranscriptionConfig, + RealtimeModelName, + RealtimeRunConfig, + RealtimeSessionModelSettings, + RealtimeTurnDetectionConfig, + RealtimeUserInput, + RealtimeUserInputMessage, + RealtimeUserInputText, +) from .events import ( RealtimeAgentEndEvent, RealtimeAgentStartEvent, @@ -15,13 +26,12 @@ RealtimeToolEnd, RealtimeToolStart, ) -from .session import RealtimeSession -from .transport import ( - RealtimeModelName, - RealtimeSessionTransport, - RealtimeTransportConnectionOptions, - RealtimeTransportListener, +from .model import ( + RealtimeModel, + RealtimeModelConfig, + RealtimeModelListener, ) +from .session import RealtimeSession __all__ = [ "RealtimeAgent", @@ -30,11 +40,19 @@ "RealtimeSession", "RealtimeSessionListener", "RealtimeSessionListenerFunc", - "APIKeyOrKeyFunc", + "RealtimeRunConfig", + "RealtimeSessionModelSettings", + "RealtimeInputAudioTranscriptionConfig", + "RealtimeTurnDetectionConfig", + "RealtimeAudioFormat", + "RealtimeClientMessage", + "RealtimeUserInput", + "RealtimeUserInputMessage", + "RealtimeUserInputText", "RealtimeModelName", - "RealtimeSessionTransport", - "RealtimeTransportListener", - "RealtimeTransportConnectionOptions", + "RealtimeModel", + "RealtimeModelListener", + "RealtimeModelConfig", "RealtimeSessionEvent", "RealtimeAgentStartEvent", "RealtimeAgentEndEvent", diff --git a/src/agents/realtime/config.py b/src/agents/realtime/config.py index aa15c837d..459a03a9a 100644 --- a/src/agents/realtime/config.py +++ b/src/agents/realtime/config.py @@ -1,9 +1,7 @@ from __future__ import annotations -import inspect from typing import ( Any, - Callable, Literal, Union, ) @@ -11,8 +9,20 @@ from typing_extensions import NotRequired, TypeAlias, TypedDict from ..model_settings import ToolChoice -from ..tool import FunctionTool -from ..util._types import MaybeAwaitable +from ..tool import Tool + +RealtimeModelName: TypeAlias = Union[ + Literal[ + "gpt-4o-realtime-preview", + "gpt-4o-mini-realtime-preview", + "gpt-4o-realtime-preview-2025-06-03", + "gpt-4o-realtime-preview-2024-12-17", + "gpt-4o-realtime-preview-2024-10-01", + "gpt-4o-mini-realtime-preview-2024-12-17", + ], + str, +] +"""The name of a realtime model.""" class RealtimeClientMessage(TypedDict): @@ -20,7 +30,7 @@ class RealtimeClientMessage(TypedDict): other_data: NotRequired[dict[str, Any]] -class UserInputText(TypedDict): +class RealtimeUserInputText(TypedDict): type: Literal["input_text"] text: str @@ -28,7 +38,7 @@ class UserInputText(TypedDict): class RealtimeUserInputMessage(TypedDict): type: Literal["message"] role: Literal["user"] - content: list[UserInputText] + content: list[RealtimeUserInputText] RealtimeUserInput: TypeAlias = Union[str, RealtimeUserInputMessage] @@ -55,9 +65,11 @@ class RealtimeTurnDetectionConfig(TypedDict): threshold: NotRequired[float] -class RealtimeSessionConfig(TypedDict): - api_key: NotRequired[APIKeyOrKeyFunc] - model: NotRequired[str] +class RealtimeSessionModelSettings(TypedDict): + """Model settings for a realtime model session.""" + + model_name: NotRequired[RealtimeModelName] + instructions: NotRequired[str] modalities: NotRequired[list[Literal["text", "audio"]]] voice: NotRequired[str] @@ -68,24 +80,13 @@ class RealtimeSessionConfig(TypedDict): turn_detection: NotRequired[RealtimeTurnDetectionConfig] tool_choice: NotRequired[ToolChoice] - tools: NotRequired[list[FunctionTool]] - - -APIKeyOrKeyFunc = str | Callable[[], MaybeAwaitable[str]] -"""Either an API key or a function that returns an API key.""" - + tools: NotRequired[list[Tool]] -async def get_api_key(key: APIKeyOrKeyFunc | None) -> str | None: - """Get the API key from the key or key function.""" - if key is None: - return None - elif isinstance(key, str): - return key - result = key() - if inspect.isawaitable(result): - return await result - return result +class RealtimeRunConfig(TypedDict): + model_settings: NotRequired[RealtimeSessionModelSettings] # TODO (rm) Add tracing support # tracing: NotRequired[RealtimeTracingConfig | None] + # TODO (rm) Add guardrail support + # TODO (rm) Add history audio storage config diff --git a/src/agents/realtime/events.py b/src/agents/realtime/events.py index bd6b7b5b0..c96357e1a 100644 --- a/src/agents/realtime/events.py +++ b/src/agents/realtime/events.py @@ -7,7 +7,7 @@ from ..tool import Tool from .agent import RealtimeAgent from .items import RealtimeItem -from .transport_events import RealtimeTransportAudioEvent, RealtimeTransportEvent +from .model_events import RealtimeModelAudioEvent, RealtimeModelEvent @dataclass @@ -96,7 +96,7 @@ class RealtimeToolEnd: class RealtimeRawTransportEvent: """Forwards raw events from the transport layer.""" - data: RealtimeTransportEvent + data: RealtimeModelEvent """The raw data from the transport layer.""" info: RealtimeEventInfo @@ -119,7 +119,7 @@ class RealtimeAudioEnd: class RealtimeAudio: """Triggered when the agent generates new audio to be played.""" - audio: RealtimeTransportAudioEvent + audio: RealtimeModelAudioEvent """The audio event from the transport layer.""" info: RealtimeEventInfo diff --git a/src/agents/realtime/model.py b/src/agents/realtime/model.py new file mode 100644 index 000000000..42566cdc1 --- /dev/null +++ b/src/agents/realtime/model.py @@ -0,0 +1,97 @@ +import abc +from typing import Any, Callable + +from typing_extensions import NotRequired, TypedDict + +from ..util._types import MaybeAwaitable +from .config import ( + RealtimeClientMessage, + RealtimeSessionModelSettings, + RealtimeUserInput, +) +from .model_events import RealtimeModelEvent, RealtimeModelToolCallEvent + + +class RealtimeModelListener(abc.ABC): + """A listener for realtime transport events.""" + + @abc.abstractmethod + async def on_event(self, event: RealtimeModelEvent) -> None: + """Called when an event is emitted by the realtime transport.""" + pass + + +class RealtimeModelConfig(TypedDict): + """Options for connecting to a realtime model.""" + + api_key: NotRequired[str | Callable[[], MaybeAwaitable[str]]] + """The API key (or function that returns a key) to use when connecting. If unset, the model will + try to use a sane default. For example, the OpenAI Realtime model will try to use the + `OPENAI_API_KEY` environment variable. + """ + + url: NotRequired[str] + """The URL to use when connecting. If unset, the model will use a sane default. For example, + the OpenAI Realtime model will use the default OpenAI WebSocket URL. + """ + + initial_model_settings: NotRequired[RealtimeSessionModelSettings] + + +class RealtimeModel(abc.ABC): + """Interface for connecting to a realtime model and sending/receiving events.""" + + @abc.abstractmethod + async def connect(self, options: RealtimeModelConfig) -> None: + """Establish a connection to the model and keep it alive.""" + pass + + @abc.abstractmethod + def add_listener(self, listener: RealtimeModelListener) -> None: + """Add a listener to the model.""" + pass + + @abc.abstractmethod + async def remove_listener(self, listener: RealtimeModelListener) -> None: + """Remove a listener from the model.""" + pass + + @abc.abstractmethod + async def send_event(self, event: RealtimeClientMessage) -> None: + """Send an event to the model.""" + pass + + @abc.abstractmethod + async def send_message( + self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None + ) -> None: + """Send a message to the model.""" + pass + + @abc.abstractmethod + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Send a raw audio chunk to the model. + + Args: + audio: The audio data to send. + commit: Whether to commit the audio buffer to the model. If the model does not do turn + detection, this can be used to indicate the turn is completed. + """ + pass + + @abc.abstractmethod + async def send_tool_output( + self, tool_call: RealtimeModelToolCallEvent, output: str, start_response: bool + ) -> None: + """Send tool output to the model.""" + pass + + @abc.abstractmethod + async def interrupt(self) -> None: + """Interrupt the model. For example, could be triggered by a guardrail.""" + pass + + @abc.abstractmethod + async def close(self) -> None: + """Close the session.""" + pass diff --git a/src/agents/realtime/transport_events.py b/src/agents/realtime/model_events.py similarity index 66% rename from src/agents/realtime/transport_events.py rename to src/agents/realtime/model_events.py index 735577b17..a9769cebd 100644 --- a/src/agents/realtime/transport_events.py +++ b/src/agents/realtime/model_events.py @@ -11,7 +11,7 @@ @dataclass -class RealtimeTransportErrorEvent: +class RealtimeModelErrorEvent: """Represents a transport‑layer error.""" error: Any @@ -20,7 +20,7 @@ class RealtimeTransportErrorEvent: @dataclass -class RealtimeTransportToolCallEvent: +class RealtimeModelToolCallEvent: """Model attempted a tool/function call.""" name: str @@ -34,7 +34,7 @@ class RealtimeTransportToolCallEvent: @dataclass -class RealtimeTransportAudioEvent: +class RealtimeModelAudioEvent: """Raw audio bytes emitted by the model.""" data: bytes @@ -44,21 +44,21 @@ class RealtimeTransportAudioEvent: @dataclass -class RealtimeTransportAudioInterruptedEvent: +class RealtimeModelAudioInterruptedEvent: """Audio interrupted.""" type: Literal["audio_interrupted"] = "audio_interrupted" @dataclass -class RealtimeTransportAudioDoneEvent: +class RealtimeModelAudioDoneEvent: """Audio done.""" type: Literal["audio_done"] = "audio_done" @dataclass -class RealtimeTransportInputAudioTranscriptionCompletedEvent: +class RealtimeModelInputAudioTranscriptionCompletedEvent: """Input audio transcription completed.""" item_id: str @@ -70,7 +70,7 @@ class RealtimeTransportInputAudioTranscriptionCompletedEvent: @dataclass -class RealtimeTransportTranscriptDelta: +class RealtimeModelTranscriptDeltaEvent: """Partial transcript update.""" item_id: str @@ -81,7 +81,7 @@ class RealtimeTransportTranscriptDelta: @dataclass -class RealtimeTransportItemUpdatedEvent: +class RealtimeModelItemUpdatedEvent: """Item added to the history or updated.""" item: RealtimeItem @@ -90,7 +90,7 @@ class RealtimeTransportItemUpdatedEvent: @dataclass -class RealtimeTransportItemDeletedEvent: +class RealtimeModelItemDeletedEvent: """Item deleted from the history.""" item_id: str @@ -99,7 +99,7 @@ class RealtimeTransportItemDeletedEvent: @dataclass -class RealtimeTransportConnectionStatusEvent: +class RealtimeModelConnectionStatusEvent: """Connection status changed.""" status: RealtimeConnectionStatus @@ -108,21 +108,21 @@ class RealtimeTransportConnectionStatusEvent: @dataclass -class RealtimeTransportTurnStartedEvent: +class RealtimeModelTurnStartedEvent: """Triggered when the model starts generating a response for a turn.""" type: Literal["turn_started"] = "turn_started" @dataclass -class RealtimeTransportTurnEndedEvent: +class RealtimeModelTurnEndedEvent: """Triggered when the model finishes generating a response for a turn.""" type: Literal["turn_ended"] = "turn_ended" @dataclass -class RealtimeTransportOtherEvent: +class RealtimeModelOtherEvent: """Used as a catchall for vendor-specific events.""" data: Any @@ -133,18 +133,18 @@ class RealtimeTransportOtherEvent: # TODO (rm) Add usage events -RealtimeTransportEvent: TypeAlias = Union[ - RealtimeTransportErrorEvent, - RealtimeTransportToolCallEvent, - RealtimeTransportAudioEvent, - RealtimeTransportAudioInterruptedEvent, - RealtimeTransportAudioDoneEvent, - RealtimeTransportInputAudioTranscriptionCompletedEvent, - RealtimeTransportTranscriptDelta, - RealtimeTransportItemUpdatedEvent, - RealtimeTransportItemDeletedEvent, - RealtimeTransportConnectionStatusEvent, - RealtimeTransportTurnStartedEvent, - RealtimeTransportTurnEndedEvent, - RealtimeTransportOtherEvent, +RealtimeModelEvent: TypeAlias = Union[ + RealtimeModelErrorEvent, + RealtimeModelToolCallEvent, + RealtimeModelAudioEvent, + RealtimeModelAudioInterruptedEvent, + RealtimeModelAudioDoneEvent, + RealtimeModelInputAudioTranscriptionCompletedEvent, + RealtimeModelTranscriptDeltaEvent, + RealtimeModelItemUpdatedEvent, + RealtimeModelItemDeletedEvent, + RealtimeModelConnectionStatusEvent, + RealtimeModelTurnStartedEvent, + RealtimeModelTurnEndedEvent, + RealtimeModelOtherEvent, ] diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 6dc34bcf1..f363bb9b8 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -1,9 +1,12 @@ +from __future__ import annotations + import asyncio import base64 +import inspect import json import os from datetime import datetime -from typing import Any +from typing import Any, Callable import websockets from openai.types.beta.realtime.realtime_server_event import ( @@ -12,52 +15,72 @@ from pydantic import TypeAdapter from websockets.asyncio.client import ClientConnection +from agents.util._types import MaybeAwaitable + from ..exceptions import UserError from ..logger import logger -from .config import RealtimeClientMessage, RealtimeUserInput, get_api_key +from .config import ( + RealtimeClientMessage, + RealtimeSessionModelSettings, + RealtimeUserInput, +) from .items import RealtimeMessageItem, RealtimeToolCallItem -from .transport import ( - RealtimeSessionTransport, - RealtimeTransportConnectionOptions, - RealtimeTransportListener, +from .model import ( + RealtimeModel, + RealtimeModelConfig, + RealtimeModelListener, ) -from .transport_events import ( - RealtimeTransportAudioDoneEvent, - RealtimeTransportAudioEvent, - RealtimeTransportAudioInterruptedEvent, - RealtimeTransportErrorEvent, - RealtimeTransportEvent, - RealtimeTransportInputAudioTranscriptionCompletedEvent, - RealtimeTransportItemDeletedEvent, - RealtimeTransportItemUpdatedEvent, - RealtimeTransportToolCallEvent, - RealtimeTransportTranscriptDelta, - RealtimeTransportTurnEndedEvent, - RealtimeTransportTurnStartedEvent, +from .model_events import ( + RealtimeModelAudioDoneEvent, + RealtimeModelAudioEvent, + RealtimeModelAudioInterruptedEvent, + RealtimeModelErrorEvent, + RealtimeModelEvent, + RealtimeModelInputAudioTranscriptionCompletedEvent, + RealtimeModelItemDeletedEvent, + RealtimeModelItemUpdatedEvent, + RealtimeModelToolCallEvent, + RealtimeModelTranscriptDeltaEvent, + RealtimeModelTurnEndedEvent, + RealtimeModelTurnStartedEvent, ) -class OpenAIRealtimeWebSocketTransport(RealtimeSessionTransport): - """A transport layer for realtime sessions that uses OpenAI's WebSocket API.""" +async def get_api_key(key: str | Callable[[], MaybeAwaitable[str]] | None) -> str | None: + if isinstance(key, str): + return key + elif callable(key): + result = key() + if inspect.isawaitable(result): + return await result + return result + + return os.getenv("OPENAI_API_KEY") + + +class OpenAIRealtimeWebSocketModel(RealtimeModel): + """A model that uses OpenAI's WebSocket API.""" def __init__(self) -> None: self.model = "gpt-4o-realtime-preview" # Default model self._websocket: ClientConnection | None = None self._websocket_task: asyncio.Task[None] | None = None - self._listeners: list[RealtimeTransportListener] = [] + self._listeners: list[RealtimeModelListener] = [] self._current_item_id: str | None = None self._audio_start_time: datetime | None = None self._audio_length_ms: float = 0.0 self._ongoing_response: bool = False self._current_audio_content_index: int | None = None - async def connect(self, options: RealtimeTransportConnectionOptions) -> None: + async def connect(self, options: RealtimeModelConfig) -> None: """Establish a connection to the model and keep it alive.""" assert self._websocket is None, "Already connected" assert self._websocket_task is None, "Already connected" - self.model = options.get("model", self.model) - api_key = await get_api_key(options.get("api_key", os.getenv("OPENAI_API_KEY"))) + model_settings: RealtimeSessionModelSettings = options.get("initial_model_settings", {}) + + self.model = model_settings.get("model_name", self.model) + api_key = await get_api_key(options.get("api_key")) if not api_key: raise UserError("API key is required but was not provided.") @@ -71,15 +94,15 @@ async def connect(self, options: RealtimeTransportConnectionOptions) -> None: self._websocket = await websockets.connect(url, additional_headers=headers) self._websocket_task = asyncio.create_task(self._listen_for_messages()) - def add_listener(self, listener: RealtimeTransportListener) -> None: - """Add a listener to the transport.""" + def add_listener(self, listener: RealtimeModelListener) -> None: + """Add a listener to the model.""" self._listeners.append(listener) - async def remove_listener(self, listener: RealtimeTransportListener) -> None: - """Remove a listener from the transport.""" + def remove_listener(self, listener: RealtimeModelListener) -> None: + """Remove a listener from the model.""" self._listeners.remove(listener) - async def _emit_event(self, event: RealtimeTransportEvent) -> None: + async def _emit_event(self, event: RealtimeModelEvent) -> None: """Emit an event to the listeners.""" for listener in self._listeners: await listener.on_event(event) @@ -154,7 +177,7 @@ async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: await self.send_event({"type": "input_audio_buffer.commit"}) async def send_tool_output( - self, tool_call: RealtimeTransportToolCallEvent, output: str, start_response: bool + self, tool_call: RealtimeModelToolCallEvent, output: str, start_response: bool ) -> None: """Send tool output to the model.""" await self.send_event( @@ -179,7 +202,7 @@ async def send_tool_output( name=tool_call.name, output=output, ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=tool_item)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=tool_item)) if start_response: await self.send_event({"type": "response.create"}) @@ -193,7 +216,7 @@ async def interrupt(self) -> None: elapsed_time_ms = (datetime.now() - self._audio_start_time).total_seconds() * 1000 if elapsed_time_ms > 0 and elapsed_time_ms < self._audio_length_ms: - await self._emit_event(RealtimeTransportAudioInterruptedEvent()) + await self._emit_event(RealtimeModelAudioInterruptedEvent()) await self.send_event( { "type": "conversation.item.truncate", @@ -231,9 +254,7 @@ async def _handle_ws_event(self, event: dict[str, Any]): ).validate_python(event) except Exception as e: logger.error(f"Invalid event: {event} - {e}") - await self._emit_event( - RealtimeTransportErrorEvent(error=f"Invalid event: {event} - {e}") - ) + await self._emit_event(RealtimeModelErrorEvent(error=f"Invalid event: {event} - {e}")) return if parsed.type == "response.audio.delta": @@ -247,25 +268,25 @@ async def _handle_ws_event(self, event: dict[str, Any]): # Calculate audio length in ms using 24KHz pcm16le self._audio_length_ms += len(audio_bytes) / 24 / 2 await self._emit_event( - RealtimeTransportAudioEvent(data=audio_bytes, response_id=parsed.response_id) + RealtimeModelAudioEvent(data=audio_bytes, response_id=parsed.response_id) ) elif parsed.type == "response.audio.done": - await self._emit_event(RealtimeTransportAudioDoneEvent()) + await self._emit_event(RealtimeModelAudioDoneEvent()) elif parsed.type == "input_audio_buffer.speech_started": await self.interrupt() elif parsed.type == "response.created": self._ongoing_response = True - await self._emit_event(RealtimeTransportTurnStartedEvent()) + await self._emit_event(RealtimeModelTurnStartedEvent()) elif parsed.type == "response.done": self._ongoing_response = False - await self._emit_event(RealtimeTransportTurnEndedEvent()) + await self._emit_event(RealtimeModelTurnEndedEvent()) elif parsed.type == "session.created": # TODO (rm) tracing stuff here pass elif parsed.type == "error": - await self._emit_event(RealtimeTransportErrorEvent(error=parsed.error)) + await self._emit_event(RealtimeModelErrorEvent(error=parsed.error)) elif parsed.type == "conversation.item.deleted": - await self._emit_event(RealtimeTransportItemDeletedEvent(item_id=parsed.item_id)) + await self._emit_event(RealtimeModelItemDeletedEvent(item_id=parsed.item_id)) elif ( parsed.type == "conversation.item.created" or parsed.type == "conversation.item.retrieved" @@ -284,7 +305,7 @@ async def _handle_ws_event(self, event: dict[str, Any]): "status": "in_progress", } ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=message_item)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=message_item)) elif ( parsed.type == "conversation.item.input_audio_transcription.completed" or parsed.type == "conversation.item.truncated" @@ -299,13 +320,13 @@ async def _handle_ws_event(self, event: dict[str, Any]): ) if parsed.type == "conversation.item.input_audio_transcription.completed": await self._emit_event( - RealtimeTransportInputAudioTranscriptionCompletedEvent( + RealtimeModelInputAudioTranscriptionCompletedEvent( item_id=parsed.item_id, transcript=parsed.transcript ) ) elif parsed.type == "response.audio_transcript.delta": await self._emit_event( - RealtimeTransportTranscriptDelta( + RealtimeModelTranscriptDeltaEvent( item_id=parsed.item_id, delta=parsed.delta, response_id=parsed.response_id ) ) @@ -333,9 +354,9 @@ async def _handle_ws_event(self, event: dict[str, Any]): name=item.name or "", output=None, ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=tool_call)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=tool_call)) await self._emit_event( - RealtimeTransportToolCallEvent( + RealtimeModelToolCallEvent( call_id=item.id or "", name=item.name or "", arguments=item.arguments or "", @@ -352,4 +373,4 @@ async def _handle_ws_event(self, event: dict[str, Any]): "status": "in_progress", } ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=message_item)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=message_item)) diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index fd2a0a3ff..44ec87821 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -10,11 +10,16 @@ from typing_extensions import TypeAlias, assert_never from ..handoffs import Handoff -from ..run_context import RunContextWrapper +from ..run_context import RunContextWrapper, TContext from ..tool import FunctionTool from ..tool_context import ToolContext from .agent import RealtimeAgent -from .config import APIKeyOrKeyFunc, RealtimeSessionConfig, RealtimeUserInput +from .config import ( + RealtimeModelName, + RealtimeRunConfig, + RealtimeSessionModelSettings, + RealtimeUserInput, +) from .events import ( RealtimeAgentEndEvent, RealtimeAgentStartEvent, @@ -32,18 +37,17 @@ RealtimeToolStart, ) from .items import InputAudio, InputText, RealtimeItem -from .openai_realtime import OpenAIRealtimeWebSocketTransport -from .transport import ( - RealtimeModelName, - RealtimeSessionTransport, - RealtimeTransportConnectionOptions, - RealtimeTransportListener, +from .model import ( + RealtimeModel, + RealtimeModelConfig, + RealtimeModelListener, ) -from .transport_events import ( - RealtimeTransportEvent, - RealtimeTransportInputAudioTranscriptionCompletedEvent, - RealtimeTransportToolCallEvent, +from .model_events import ( + RealtimeModelEvent, + RealtimeModelInputAudioTranscriptionCompletedEvent, + RealtimeModelToolCallEvent, ) +from .openai_realtime import OpenAIRealtimeWebSocketTransport class RealtimeSessionListener(abc.ABC): @@ -70,7 +74,7 @@ async def on_event(self, event: RealtimeSessionEvent) -> None: await self._func(event) -class RealtimeSession(RealtimeTransportListener): +class RealtimeSession(RealtimeModelListener): """A `RealtimeSession` is the equivalent of `Runner` for realtime agents. It automatically handles multiple turns by maintaining a persistent connection with the underlying transport layer. @@ -86,14 +90,10 @@ def __init__( self, starting_agent: RealtimeAgent, *, - context: Any | None = None, - transport: Literal["websocket"] | RealtimeSessionTransport = "websocket", - api_key: APIKeyOrKeyFunc | None = None, + context: TContext | None = None, + transport: Literal["websocket"] | RealtimeModel = "websocket", model: RealtimeModelName | None = None, - config: RealtimeSessionConfig | None = None, - # TODO (rm) Add guardrail support - # TODO (rm) Add tracing support - # TODO (rm) Add history audio storage config + config: RealtimeRunConfig | None = None, ) -> None: """Initialize the realtime session. @@ -111,12 +111,11 @@ def __init__( self._override_config = config self._history: list[RealtimeItem] = [] self._model = model - self._api_key = api_key self._listeners: list[RealtimeSessionListener] = [] if transport == "websocket": - self._transport: RealtimeSessionTransport = OpenAIRealtimeWebSocketTransport() + self._transport: RealtimeModel = OpenAIRealtimeWebSocketTransport() else: self._transport = transport @@ -129,29 +128,21 @@ async def __aexit__(self, _exc_type: Any, _exc_val: Any, _exc_tb: Any) -> None: """Async context manager exit.""" await self.end() - async def connect(self) -> None: + async def connect(self, *, model_config: RealtimeModelConfig | None = None) -> None: """Start the session: connect to the model and start the connection.""" self._transport.add_listener(self) - config = await self.create_session_config( - overrides=self._override_config, + model_settings = await self._get_model_settings( + initial_settings=model_config.get("initial_model_settings") if model_config else None, + overrides=self._override_config.get("model_settings") + if self._override_config + else None, ) - options: RealtimeTransportConnectionOptions = { - "initial_session_config": config, - } + model_config = model_config.copy() if model_config else {} + model_config["initial_model_settings"] = model_settings - if config.get("api_key") is not None: - options["api_key"] = config["api_key"] - elif self._api_key is not None: - options["api_key"] = self._api_key - - if config.get("model") is not None: - options["model"] = config["model"] - elif self._model is not None: - options["model"] = self._model - - await self._transport.connect(options) + await self._transport.connect(model_config) await self._emit_event( RealtimeHistoryUpdated( @@ -183,28 +174,28 @@ def remove_listener( self._listeners.remove(x) break - async def create_session_config( - self, overrides: RealtimeSessionConfig | None = None - ) -> RealtimeSessionConfig: - """Create the session config.""" + async def _get_model_settings( + self, + initial_settings: RealtimeSessionModelSettings | None = None, + overrides: RealtimeSessionModelSettings | None = None, + ) -> RealtimeSessionModelSettings: + model_settings = initial_settings.copy() if initial_settings else {} + agent = self._current_agent instructions, tools = await asyncio.gather( agent.get_system_prompt(self._context_wrapper), agent.get_all_tools(self._context_wrapper), ) - config = RealtimeSessionConfig() - if self._model is not None: - config["model"] = self._model if instructions is not None: - config["instructions"] = instructions + model_settings["instructions"] = instructions if tools is not None: - config["tools"] = [tool for tool in tools if isinstance(tool, FunctionTool)] + model_settings["tools"] = tools if overrides: - config.update(overrides) + model_settings.update(overrides) - return config + return model_settings async def send_message(self, message: RealtimeUserInput) -> None: """Send a message to the model.""" @@ -218,7 +209,7 @@ async def interrupt(self) -> None: """Interrupt the model.""" await self._transport.interrupt() - async def on_event(self, event: RealtimeTransportEvent) -> None: + async def on_event(self, event: RealtimeModelEvent) -> None: """Called when an event is emitted by the realtime transport.""" await self._emit_event(RealtimeRawTransportEvent(data=event, info=self._event_info)) @@ -284,7 +275,7 @@ async def _emit_event(self, event: RealtimeSessionEvent) -> None: """Emit an event to the listeners.""" await asyncio.gather(*[listener.on_event(event) for listener in self._listeners]) - async def _handle_tool_call(self, event: RealtimeTransportToolCallEvent) -> None: + async def _handle_tool_call(self, event: RealtimeModelToolCallEvent) -> None: all_tools = await self._current_agent.get_all_tools(self._context_wrapper) function_map = {tool.name: tool for tool in all_tools if isinstance(tool, FunctionTool)} handoff_map = {tool.name: tool for tool in all_tools if isinstance(tool, Handoff)} @@ -322,10 +313,10 @@ async def _handle_tool_call(self, event: RealtimeTransportToolCallEvent) -> None def _get_new_history( self, old_history: list[RealtimeItem], - event: RealtimeTransportInputAudioTranscriptionCompletedEvent | RealtimeItem, + event: RealtimeModelInputAudioTranscriptionCompletedEvent | RealtimeItem, ) -> list[RealtimeItem]: # Merge transcript into placeholder input_audio message. - if isinstance(event, RealtimeTransportInputAudioTranscriptionCompletedEvent): + if isinstance(event, RealtimeModelInputAudioTranscriptionCompletedEvent): new_history: list[RealtimeItem] = [] for item in old_history: if item.item_id == event.item_id and item.type == "message" and item.role == "user": diff --git a/src/agents/realtime/transport.py b/src/agents/realtime/transport.py deleted file mode 100644 index 18290d128..000000000 --- a/src/agents/realtime/transport.py +++ /dev/null @@ -1,107 +0,0 @@ -import abc -from typing import Any, Literal, Union - -from typing_extensions import NotRequired, TypeAlias, TypedDict - -from .config import APIKeyOrKeyFunc, RealtimeClientMessage, RealtimeSessionConfig, RealtimeUserInput -from .transport_events import RealtimeTransportEvent, RealtimeTransportToolCallEvent - -RealtimeModelName: TypeAlias = Union[ - Literal[ - "gpt-4o-realtime-preview", - "gpt-4o-mini-realtime-preview", - "gpt-4o-realtime-preview-2025-06-03", - "gpt-4o-realtime-preview-2024-12-17", - "gpt-4o-realtime-preview-2024-10-01", - "gpt-4o-mini-realtime-preview-2024-12-17", - ], - str, -] -"""The name of a realtime model.""" - - -class RealtimeTransportListener(abc.ABC): - """A listener for realtime transport events.""" - - @abc.abstractmethod - async def on_event(self, event: RealtimeTransportEvent) -> None: - """Called when an event is emitted by the realtime transport.""" - pass - - -class RealtimeTransportConnectionOptions(TypedDict): - """Options for connecting to a realtime transport.""" - - api_key: NotRequired[APIKeyOrKeyFunc] - """The API key to use for the transport. If unset, the transport will attempt to use the - `OPENAI_API_KEY` environment variable. - """ - - model: NotRequired[str] - """The model to use.""" - - url: NotRequired[str] - """The URL to use for the transport. If unset, the transport will use the default OpenAI - WebSocket URL. - """ - - initial_session_config: NotRequired[RealtimeSessionConfig] - - -class RealtimeSessionTransport(abc.ABC): - """A transport layer for realtime sessions.""" - - @abc.abstractmethod - async def connect(self, options: RealtimeTransportConnectionOptions) -> None: - """Establish a connection to the model and keep it alive.""" - pass - - @abc.abstractmethod - def add_listener(self, listener: RealtimeTransportListener) -> None: - """Add a listener to the transport.""" - pass - - @abc.abstractmethod - async def remove_listener(self, listener: RealtimeTransportListener) -> None: - """Remove a listener from the transport.""" - pass - - @abc.abstractmethod - async def send_event(self, event: RealtimeClientMessage) -> None: - """Send an event to the model.""" - pass - - @abc.abstractmethod - async def send_message( - self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None - ) -> None: - """Send a message to the model.""" - pass - - @abc.abstractmethod - async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: - """Send a raw audio chunk to the model. - - Args: - audio: The audio data to send. - commit: Whether to commit the audio buffer to the model. If the model does not do turn - detection, this can be used to indicate the turn is completed. - """ - pass - - @abc.abstractmethod - async def send_tool_output( - self, tool_call: RealtimeTransportToolCallEvent, output: str, start_response: bool - ) -> None: - """Send tool output to the model.""" - pass - - @abc.abstractmethod - async def interrupt(self) -> None: - """Interrupt the model. For example, could be triggered by a guardrail.""" - pass - - @abc.abstractmethod - async def close(self) -> None: - """Close the session.""" - pass diff --git a/tests/realtime/test_model_events.py b/tests/realtime/test_model_events.py new file mode 100644 index 000000000..b8696cc29 --- /dev/null +++ b/tests/realtime/test_model_events.py @@ -0,0 +1,12 @@ +from typing import get_args + +from agents.realtime.model_events import RealtimeModelEvent + + +def test_all_events_have_type() -> None: + """Test that all events have a type.""" + events = get_args(RealtimeModelEvent) + assert len(events) > 0 + for event in events: + assert event.type is not None + assert isinstance(event.type, str) From 7f35622e5c652ff23e516fc43ed9d75df14cb135 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 15:14:52 -0400 Subject: [PATCH 189/337] [8/n] Make realtime more like the rest of agents sdk Key changes: 1. Transport -> model. 2. Extract any model settings into `RealtimeSessionModelSettings`. 3. RealtimeRunConfig, similar to the RunConfig in `run.py`. Next PR I'll update session to be better. --- examples/realtime/demo.py | 25 +- src/agents/realtime/__init__.py | 44 ++- src/agents/realtime/config.py | 51 +-- src/agents/realtime/connection.py | 298 ++++++++++++++ src/agents/realtime/events.py | 6 +- src/agents/realtime/model.py | 97 +++++ .../{transport_events.py => model_events.py} | 54 +-- src/agents/realtime/openai_realtime.py | 117 +++--- src/agents/realtime/session.py | 364 +++--------------- src/agents/realtime/transport.py | 107 ----- ...ansport_events.py => test_model_events.py} | 4 +- 11 files changed, 636 insertions(+), 531 deletions(-) create mode 100644 src/agents/realtime/connection.py create mode 100644 src/agents/realtime/model.py rename src/agents/realtime/{transport_events.py => model_events.py} (66%) delete mode 100644 src/agents/realtime/transport.py rename tests/realtime/{test_transport_events.py => test_model_events.py} (68%) diff --git a/examples/realtime/demo.py b/examples/realtime/demo.py index a2ea96545..ca5e57987 100644 --- a/examples/realtime/demo.py +++ b/examples/realtime/demo.py @@ -5,11 +5,13 @@ import numpy as np +from agents.realtime import RealtimeSession + # Add the current directory to path so we can import ui sys.path.append(os.path.dirname(os.path.abspath(__file__))) from agents import function_tool -from agents.realtime import RealtimeAgent, RealtimeSession, RealtimeSessionEvent +from agents.realtime import RealtimeAgent, RealtimeRunner, RealtimeSessionEvent if TYPE_CHECKING: from .ui import AppUI @@ -38,23 +40,34 @@ def get_weather(city: str) -> str: class Example: def __init__(self) -> None: - self.session = RealtimeSession(agent) self.ui = AppUI() self.ui.connected = asyncio.Event() self.ui.last_audio_item_id = None # Set the audio callback self.ui.set_audio_callback(self.on_audio_recorded) + self.session: RealtimeSession | None = None + async def run(self) -> None: - self.session.add_listener(self.on_event) - await self.session.connect() - self.ui.set_is_connected(True) - await self.ui.run_async() + # Start UI in a separate task instead of waiting for it to complete + ui_task = asyncio.create_task(self.ui.run_async()) + + # Set up session immediately without waiting for UI to finish + runner = RealtimeRunner(agent) + async with await runner.run() as session: + self.session = session + self.ui.set_is_connected(True) + async for event in session: + await self.on_event(event) + + # Wait for UI task to complete when session ends + await ui_task async def on_audio_recorded(self, audio_bytes: bytes) -> None: """Called when audio is recorded by the UI.""" try: # Send the audio to the session + assert self.session is not None await self.session.send_audio(audio_bytes) except Exception as e: self.ui.log_message(f"Error sending audio: {e}") diff --git a/src/agents/realtime/__init__.py b/src/agents/realtime/__init__.py index 7e5d4932a..3d30bdbf1 100644 --- a/src/agents/realtime/__init__.py +++ b/src/agents/realtime/__init__.py @@ -1,5 +1,17 @@ from .agent import RealtimeAgent, RealtimeAgentHooks, RealtimeRunHooks -from .config import APIKeyOrKeyFunc +from .config import ( + RealtimeAudioFormat, + RealtimeClientMessage, + RealtimeInputAudioTranscriptionConfig, + RealtimeModelName, + RealtimeRunConfig, + RealtimeSessionModelSettings, + RealtimeTurnDetectionConfig, + RealtimeUserInput, + RealtimeUserInputMessage, + RealtimeUserInputText, +) +from .connection import RealtimeSession from .events import ( RealtimeAgentEndEvent, RealtimeAgentStartEvent, @@ -15,26 +27,33 @@ RealtimeToolEnd, RealtimeToolStart, ) -from .session import RealtimeSession -from .transport import ( - RealtimeModelName, - RealtimeSessionTransport, - RealtimeTransportConnectionOptions, - RealtimeTransportListener, +from .model import ( + RealtimeModel, + RealtimeModelConfig, + RealtimeModelListener, ) +from .runner import RealtimeRunner __all__ = [ "RealtimeAgent", "RealtimeAgentHooks", "RealtimeRunHooks", - "RealtimeSession", + "RealtimeRunner", "RealtimeSessionListener", "RealtimeSessionListenerFunc", - "APIKeyOrKeyFunc", + "RealtimeRunConfig", + "RealtimeSessionModelSettings", + "RealtimeInputAudioTranscriptionConfig", + "RealtimeTurnDetectionConfig", + "RealtimeAudioFormat", + "RealtimeClientMessage", + "RealtimeUserInput", + "RealtimeUserInputMessage", + "RealtimeUserInputText", "RealtimeModelName", - "RealtimeSessionTransport", - "RealtimeTransportListener", - "RealtimeTransportConnectionOptions", + "RealtimeModel", + "RealtimeModelListener", + "RealtimeModelConfig", "RealtimeSessionEvent", "RealtimeAgentStartEvent", "RealtimeAgentEndEvent", @@ -48,4 +67,5 @@ "RealtimeError", "RealtimeHistoryUpdated", "RealtimeHistoryAdded", + "RealtimeSession", ] diff --git a/src/agents/realtime/config.py b/src/agents/realtime/config.py index aa15c837d..459a03a9a 100644 --- a/src/agents/realtime/config.py +++ b/src/agents/realtime/config.py @@ -1,9 +1,7 @@ from __future__ import annotations -import inspect from typing import ( Any, - Callable, Literal, Union, ) @@ -11,8 +9,20 @@ from typing_extensions import NotRequired, TypeAlias, TypedDict from ..model_settings import ToolChoice -from ..tool import FunctionTool -from ..util._types import MaybeAwaitable +from ..tool import Tool + +RealtimeModelName: TypeAlias = Union[ + Literal[ + "gpt-4o-realtime-preview", + "gpt-4o-mini-realtime-preview", + "gpt-4o-realtime-preview-2025-06-03", + "gpt-4o-realtime-preview-2024-12-17", + "gpt-4o-realtime-preview-2024-10-01", + "gpt-4o-mini-realtime-preview-2024-12-17", + ], + str, +] +"""The name of a realtime model.""" class RealtimeClientMessage(TypedDict): @@ -20,7 +30,7 @@ class RealtimeClientMessage(TypedDict): other_data: NotRequired[dict[str, Any]] -class UserInputText(TypedDict): +class RealtimeUserInputText(TypedDict): type: Literal["input_text"] text: str @@ -28,7 +38,7 @@ class UserInputText(TypedDict): class RealtimeUserInputMessage(TypedDict): type: Literal["message"] role: Literal["user"] - content: list[UserInputText] + content: list[RealtimeUserInputText] RealtimeUserInput: TypeAlias = Union[str, RealtimeUserInputMessage] @@ -55,9 +65,11 @@ class RealtimeTurnDetectionConfig(TypedDict): threshold: NotRequired[float] -class RealtimeSessionConfig(TypedDict): - api_key: NotRequired[APIKeyOrKeyFunc] - model: NotRequired[str] +class RealtimeSessionModelSettings(TypedDict): + """Model settings for a realtime model session.""" + + model_name: NotRequired[RealtimeModelName] + instructions: NotRequired[str] modalities: NotRequired[list[Literal["text", "audio"]]] voice: NotRequired[str] @@ -68,24 +80,13 @@ class RealtimeSessionConfig(TypedDict): turn_detection: NotRequired[RealtimeTurnDetectionConfig] tool_choice: NotRequired[ToolChoice] - tools: NotRequired[list[FunctionTool]] - - -APIKeyOrKeyFunc = str | Callable[[], MaybeAwaitable[str]] -"""Either an API key or a function that returns an API key.""" - + tools: NotRequired[list[Tool]] -async def get_api_key(key: APIKeyOrKeyFunc | None) -> str | None: - """Get the API key from the key or key function.""" - if key is None: - return None - elif isinstance(key, str): - return key - result = key() - if inspect.isawaitable(result): - return await result - return result +class RealtimeRunConfig(TypedDict): + model_settings: NotRequired[RealtimeSessionModelSettings] # TODO (rm) Add tracing support # tracing: NotRequired[RealtimeTracingConfig | None] + # TODO (rm) Add guardrail support + # TODO (rm) Add history audio storage config diff --git a/src/agents/realtime/connection.py b/src/agents/realtime/connection.py new file mode 100644 index 000000000..038100382 --- /dev/null +++ b/src/agents/realtime/connection.py @@ -0,0 +1,298 @@ +import asyncio +from collections.abc import AsyncIterator +from typing import Any + +from typing_extensions import assert_never + +from ..handoffs import Handoff +from ..run_context import RunContextWrapper, TContext +from ..tool import FunctionTool +from ..tool_context import ToolContext +from .agent import RealtimeAgent +from .config import RealtimeUserInput +from .events import ( + RealtimeAgentEndEvent, + RealtimeAgentStartEvent, + RealtimeAudio, + RealtimeAudioEnd, + RealtimeAudioInterrupted, + RealtimeError, + RealtimeEventInfo, + RealtimeHistoryAdded, + RealtimeHistoryUpdated, + RealtimeRawTransportEvent, + RealtimeSessionEvent, + RealtimeToolEnd, + RealtimeToolStart, +) +from .items import InputAudio, InputText, RealtimeItem +from .model import RealtimeModel, RealtimeModelConfig, RealtimeModelListener +from .model_events import ( + RealtimeModelEvent, + RealtimeModelInputAudioTranscriptionCompletedEvent, + RealtimeModelToolCallEvent, +) + + +class RealtimeSession(RealtimeModelListener): + """A connection to a realtime model. It streams events from the model to you, and allows you to + send messages and audio to the model. + + Example: + ```python + runner = RealtimeRunner(agent) + async with await runner.run() as session: + # Send messages + await session.send_message("Hello") + await session.send_audio(audio_bytes) + + # Stream events + async for event in session: + if event.type == "audio": + # Handle audio event + pass + ``` + """ + + def __init__( + self, + model: RealtimeModel, + agent: RealtimeAgent, + context: TContext | None, + model_config: RealtimeModelConfig | None = None, + ) -> None: + """Initialize the session. + + Args: + model: The model to use. + agent: The current agent. + context_wrapper: The context wrapper. + event_info: Event info object. + history: The conversation history. + model_config: Model configuration. + """ + self._model = model + self._current_agent = agent + self._context_wrapper = RunContextWrapper(context) + self._event_info = RealtimeEventInfo(context=self._context_wrapper) + self._history: list[RealtimeItem] = [] + self._model_config = model_config or {} + self._event_queue: asyncio.Queue[RealtimeSessionEvent] = asyncio.Queue() + self._closed = False + self._background_task: asyncio.Task[None] | None = None + + async def __aenter__(self) -> "RealtimeSession": + """Start the session by connecting to the model. After this, you will be able to stream + events from the model and send messages and audio to the model. + """ + # Add ourselves as a listener + self._model.add_listener(self) + + # Connect to the transport + await self._model.connect(self._model_config) + + # Emit initial history update + await self._put_event( + RealtimeHistoryUpdated( + history=self._history, + info=self._event_info, + ) + ) + + return self + + async def enter(self) -> "RealtimeSession": + """Enter the async context manager. We strongly recommend using the async context manager + pattern instead of this method. If you use this, you need to manually call `close()` when you + are done. + """ + return await self.__aenter__() + + async def __aexit__(self, _exc_type: Any, _exc_val: Any, _exc_tb: Any) -> None: + """End the session.""" + await self.close() + + async def __aiter__(self) -> AsyncIterator[RealtimeSessionEvent]: + """Iterate over events from the session.""" + while not self._closed: + try: + event = await self._event_queue.get() + yield event + except asyncio.CancelledError: + break + + async def close(self) -> None: + """Close the session.""" + self._closed = True + self._model.remove_listener(self) + await self._model.close() + + # Cancel any background tasks + if self._background_task and not self._background_task.done(): + self._background_task.cancel() + try: + await self._background_task + except asyncio.CancelledError: + pass + + async def send_message(self, message: RealtimeUserInput) -> None: + """Send a message to the model.""" + await self._model.send_message(message) + + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Send a raw audio chunk to the model.""" + await self._model.send_audio(audio, commit=commit) + + async def interrupt(self) -> None: + """Interrupt the model.""" + await self._model.interrupt() + + async def on_event(self, event: RealtimeModelEvent) -> None: + await self._put_event(RealtimeRawTransportEvent(data=event, info=self._event_info)) + + if event.type == "error": + await self._put_event(RealtimeError(info=self._event_info, error=event.error)) + elif event.type == "function_call": + # Handle tool calls in the background to avoid blocking event stream + self._background_task = asyncio.create_task(self._handle_tool_call(event)) + elif event.type == "audio": + await self._put_event(RealtimeAudio(info=self._event_info, audio=event)) + elif event.type == "audio_interrupted": + await self._put_event(RealtimeAudioInterrupted(info=self._event_info)) + elif event.type == "audio_done": + await self._put_event(RealtimeAudioEnd(info=self._event_info)) + elif event.type == "conversation.item.input_audio_transcription.completed": + self._history = self._get_new_history(self._history, event) + await self._put_event( + RealtimeHistoryUpdated(info=self._event_info, history=self._history) + ) + elif event.type == "transcript_delta": + # TODO (rm) Add guardrails + pass + elif event.type == "item_updated": + is_new = not any(item.item_id == event.item.item_id for item in self._history) + self._history = self._get_new_history(self._history, event.item) + if is_new: + new_item = next( + item for item in self._history if item.item_id == event.item.item_id + ) + await self._put_event(RealtimeHistoryAdded(info=self._event_info, item=new_item)) + else: + await self._put_event( + RealtimeHistoryUpdated(info=self._event_info, history=self._history) + ) + elif event.type == "item_deleted": + deleted_id = event.item_id + self._history = [item for item in self._history if item.item_id != deleted_id] + await self._put_event( + RealtimeHistoryUpdated(info=self._event_info, history=self._history) + ) + elif event.type == "connection_status": + pass + elif event.type == "turn_started": + await self._put_event( + RealtimeAgentStartEvent( + agent=self._current_agent, + info=self._event_info, + ) + ) + elif event.type == "turn_ended": + await self._put_event( + RealtimeAgentEndEvent( + agent=self._current_agent, + info=self._event_info, + ) + ) + elif event.type == "other": + pass + else: + assert_never(event) + + async def _put_event(self, event: RealtimeSessionEvent) -> None: + """Put an event into the queue.""" + await self._event_queue.put(event) + + async def _handle_tool_call(self, event: RealtimeModelToolCallEvent) -> None: + """Handle a tool call event.""" + all_tools = await self._current_agent.get_all_tools(self._context_wrapper) + function_map = {tool.name: tool for tool in all_tools if isinstance(tool, FunctionTool)} + handoff_map = {tool.name: tool for tool in all_tools if isinstance(tool, Handoff)} + + if event.name in function_map: + await self._put_event( + RealtimeToolStart( + info=self._event_info, + tool=function_map[event.name], + agent=self._current_agent, + ) + ) + + func_tool = function_map[event.name] + tool_context = ToolContext.from_agent_context(self._context_wrapper, event.call_id) + result = await func_tool.on_invoke_tool(tool_context, event.arguments) + + await self._model.send_tool_output(event, str(result), True) + + await self._put_event( + RealtimeToolEnd( + info=self._event_info, + tool=func_tool, + output=result, + agent=self._current_agent, + ) + ) + elif event.name in handoff_map: + # TODO (rm) Add support for handoffs + pass + else: + # TODO (rm) Add error handling + pass + + def _get_new_history( + self, + old_history: list[RealtimeItem], + event: RealtimeModelInputAudioTranscriptionCompletedEvent | RealtimeItem, + ) -> list[RealtimeItem]: + # Merge transcript into placeholder input_audio message. + if isinstance(event, RealtimeModelInputAudioTranscriptionCompletedEvent): + new_history: list[RealtimeItem] = [] + for item in old_history: + if item.item_id == event.item_id and item.type == "message" and item.role == "user": + content: list[InputText | InputAudio] = [] + for entry in item.content: + if entry.type == "input_audio": + copied_entry = entry.model_copy(update={"transcript": event.transcript}) + content.append(copied_entry) + else: + content.append(entry) # type: ignore + new_history.append( + item.model_copy(update={"content": content, "status": "completed"}) + ) + else: + new_history.append(item) + return new_history + + # Otherwise it's just a new item + # TODO (rm) Add support for audio storage config + + # If the item already exists, update it + existing_index = next( + (i for i, item in enumerate(old_history) if item.item_id == event.item_id), None + ) + if existing_index is not None: + new_history = old_history.copy() + new_history[existing_index] = event + return new_history + # Otherwise, insert it after the previous_item_id if that is set + elif event.previous_item_id: + # Insert the new item after the previous item + previous_index = next( + (i for i, item in enumerate(old_history) if item.item_id == event.previous_item_id), + None, + ) + if previous_index is not None: + new_history = old_history.copy() + new_history.insert(previous_index + 1, event) + return new_history + # Otherwise, add it to the end + return old_history + [event] diff --git a/src/agents/realtime/events.py b/src/agents/realtime/events.py index bd6b7b5b0..c96357e1a 100644 --- a/src/agents/realtime/events.py +++ b/src/agents/realtime/events.py @@ -7,7 +7,7 @@ from ..tool import Tool from .agent import RealtimeAgent from .items import RealtimeItem -from .transport_events import RealtimeTransportAudioEvent, RealtimeTransportEvent +from .model_events import RealtimeModelAudioEvent, RealtimeModelEvent @dataclass @@ -96,7 +96,7 @@ class RealtimeToolEnd: class RealtimeRawTransportEvent: """Forwards raw events from the transport layer.""" - data: RealtimeTransportEvent + data: RealtimeModelEvent """The raw data from the transport layer.""" info: RealtimeEventInfo @@ -119,7 +119,7 @@ class RealtimeAudioEnd: class RealtimeAudio: """Triggered when the agent generates new audio to be played.""" - audio: RealtimeTransportAudioEvent + audio: RealtimeModelAudioEvent """The audio event from the transport layer.""" info: RealtimeEventInfo diff --git a/src/agents/realtime/model.py b/src/agents/realtime/model.py new file mode 100644 index 000000000..704751917 --- /dev/null +++ b/src/agents/realtime/model.py @@ -0,0 +1,97 @@ +import abc +from typing import Any, Callable + +from typing_extensions import NotRequired, TypedDict + +from ..util._types import MaybeAwaitable +from .config import ( + RealtimeClientMessage, + RealtimeSessionModelSettings, + RealtimeUserInput, +) +from .model_events import RealtimeModelEvent, RealtimeModelToolCallEvent + + +class RealtimeModelListener(abc.ABC): + """A listener for realtime transport events.""" + + @abc.abstractmethod + async def on_event(self, event: RealtimeModelEvent) -> None: + """Called when an event is emitted by the realtime transport.""" + pass + + +class RealtimeModelConfig(TypedDict): + """Options for connecting to a realtime model.""" + + api_key: NotRequired[str | Callable[[], MaybeAwaitable[str]]] + """The API key (or function that returns a key) to use when connecting. If unset, the model will + try to use a sane default. For example, the OpenAI Realtime model will try to use the + `OPENAI_API_KEY` environment variable. + """ + + url: NotRequired[str] + """The URL to use when connecting. If unset, the model will use a sane default. For example, + the OpenAI Realtime model will use the default OpenAI WebSocket URL. + """ + + initial_model_settings: NotRequired[RealtimeSessionModelSettings] + + +class RealtimeModel(abc.ABC): + """Interface for connecting to a realtime model and sending/receiving events.""" + + @abc.abstractmethod + async def connect(self, options: RealtimeModelConfig) -> None: + """Establish a connection to the model and keep it alive.""" + pass + + @abc.abstractmethod + def add_listener(self, listener: RealtimeModelListener) -> None: + """Add a listener to the model.""" + pass + + @abc.abstractmethod + def remove_listener(self, listener: RealtimeModelListener) -> None: + """Remove a listener from the model.""" + pass + + @abc.abstractmethod + async def send_event(self, event: RealtimeClientMessage) -> None: + """Send an event to the model.""" + pass + + @abc.abstractmethod + async def send_message( + self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None + ) -> None: + """Send a message to the model.""" + pass + + @abc.abstractmethod + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Send a raw audio chunk to the model. + + Args: + audio: The audio data to send. + commit: Whether to commit the audio buffer to the model. If the model does not do turn + detection, this can be used to indicate the turn is completed. + """ + pass + + @abc.abstractmethod + async def send_tool_output( + self, tool_call: RealtimeModelToolCallEvent, output: str, start_response: bool + ) -> None: + """Send tool output to the model.""" + pass + + @abc.abstractmethod + async def interrupt(self) -> None: + """Interrupt the model. For example, could be triggered by a guardrail.""" + pass + + @abc.abstractmethod + async def close(self) -> None: + """Close the session.""" + pass diff --git a/src/agents/realtime/transport_events.py b/src/agents/realtime/model_events.py similarity index 66% rename from src/agents/realtime/transport_events.py rename to src/agents/realtime/model_events.py index 735577b17..a9769cebd 100644 --- a/src/agents/realtime/transport_events.py +++ b/src/agents/realtime/model_events.py @@ -11,7 +11,7 @@ @dataclass -class RealtimeTransportErrorEvent: +class RealtimeModelErrorEvent: """Represents a transport‑layer error.""" error: Any @@ -20,7 +20,7 @@ class RealtimeTransportErrorEvent: @dataclass -class RealtimeTransportToolCallEvent: +class RealtimeModelToolCallEvent: """Model attempted a tool/function call.""" name: str @@ -34,7 +34,7 @@ class RealtimeTransportToolCallEvent: @dataclass -class RealtimeTransportAudioEvent: +class RealtimeModelAudioEvent: """Raw audio bytes emitted by the model.""" data: bytes @@ -44,21 +44,21 @@ class RealtimeTransportAudioEvent: @dataclass -class RealtimeTransportAudioInterruptedEvent: +class RealtimeModelAudioInterruptedEvent: """Audio interrupted.""" type: Literal["audio_interrupted"] = "audio_interrupted" @dataclass -class RealtimeTransportAudioDoneEvent: +class RealtimeModelAudioDoneEvent: """Audio done.""" type: Literal["audio_done"] = "audio_done" @dataclass -class RealtimeTransportInputAudioTranscriptionCompletedEvent: +class RealtimeModelInputAudioTranscriptionCompletedEvent: """Input audio transcription completed.""" item_id: str @@ -70,7 +70,7 @@ class RealtimeTransportInputAudioTranscriptionCompletedEvent: @dataclass -class RealtimeTransportTranscriptDelta: +class RealtimeModelTranscriptDeltaEvent: """Partial transcript update.""" item_id: str @@ -81,7 +81,7 @@ class RealtimeTransportTranscriptDelta: @dataclass -class RealtimeTransportItemUpdatedEvent: +class RealtimeModelItemUpdatedEvent: """Item added to the history or updated.""" item: RealtimeItem @@ -90,7 +90,7 @@ class RealtimeTransportItemUpdatedEvent: @dataclass -class RealtimeTransportItemDeletedEvent: +class RealtimeModelItemDeletedEvent: """Item deleted from the history.""" item_id: str @@ -99,7 +99,7 @@ class RealtimeTransportItemDeletedEvent: @dataclass -class RealtimeTransportConnectionStatusEvent: +class RealtimeModelConnectionStatusEvent: """Connection status changed.""" status: RealtimeConnectionStatus @@ -108,21 +108,21 @@ class RealtimeTransportConnectionStatusEvent: @dataclass -class RealtimeTransportTurnStartedEvent: +class RealtimeModelTurnStartedEvent: """Triggered when the model starts generating a response for a turn.""" type: Literal["turn_started"] = "turn_started" @dataclass -class RealtimeTransportTurnEndedEvent: +class RealtimeModelTurnEndedEvent: """Triggered when the model finishes generating a response for a turn.""" type: Literal["turn_ended"] = "turn_ended" @dataclass -class RealtimeTransportOtherEvent: +class RealtimeModelOtherEvent: """Used as a catchall for vendor-specific events.""" data: Any @@ -133,18 +133,18 @@ class RealtimeTransportOtherEvent: # TODO (rm) Add usage events -RealtimeTransportEvent: TypeAlias = Union[ - RealtimeTransportErrorEvent, - RealtimeTransportToolCallEvent, - RealtimeTransportAudioEvent, - RealtimeTransportAudioInterruptedEvent, - RealtimeTransportAudioDoneEvent, - RealtimeTransportInputAudioTranscriptionCompletedEvent, - RealtimeTransportTranscriptDelta, - RealtimeTransportItemUpdatedEvent, - RealtimeTransportItemDeletedEvent, - RealtimeTransportConnectionStatusEvent, - RealtimeTransportTurnStartedEvent, - RealtimeTransportTurnEndedEvent, - RealtimeTransportOtherEvent, +RealtimeModelEvent: TypeAlias = Union[ + RealtimeModelErrorEvent, + RealtimeModelToolCallEvent, + RealtimeModelAudioEvent, + RealtimeModelAudioInterruptedEvent, + RealtimeModelAudioDoneEvent, + RealtimeModelInputAudioTranscriptionCompletedEvent, + RealtimeModelTranscriptDeltaEvent, + RealtimeModelItemUpdatedEvent, + RealtimeModelItemDeletedEvent, + RealtimeModelConnectionStatusEvent, + RealtimeModelTurnStartedEvent, + RealtimeModelTurnEndedEvent, + RealtimeModelOtherEvent, ] diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 6dc34bcf1..b3f6eb2e0 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -1,9 +1,12 @@ +from __future__ import annotations + import asyncio import base64 +import inspect import json import os from datetime import datetime -from typing import Any +from typing import Any, Callable import websockets from openai.types.beta.realtime.realtime_server_event import ( @@ -12,52 +15,72 @@ from pydantic import TypeAdapter from websockets.asyncio.client import ClientConnection +from agents.util._types import MaybeAwaitable + from ..exceptions import UserError from ..logger import logger -from .config import RealtimeClientMessage, RealtimeUserInput, get_api_key +from .config import ( + RealtimeClientMessage, + RealtimeSessionModelSettings, + RealtimeUserInput, +) from .items import RealtimeMessageItem, RealtimeToolCallItem -from .transport import ( - RealtimeSessionTransport, - RealtimeTransportConnectionOptions, - RealtimeTransportListener, +from .model import ( + RealtimeModel, + RealtimeModelConfig, + RealtimeModelListener, ) -from .transport_events import ( - RealtimeTransportAudioDoneEvent, - RealtimeTransportAudioEvent, - RealtimeTransportAudioInterruptedEvent, - RealtimeTransportErrorEvent, - RealtimeTransportEvent, - RealtimeTransportInputAudioTranscriptionCompletedEvent, - RealtimeTransportItemDeletedEvent, - RealtimeTransportItemUpdatedEvent, - RealtimeTransportToolCallEvent, - RealtimeTransportTranscriptDelta, - RealtimeTransportTurnEndedEvent, - RealtimeTransportTurnStartedEvent, +from .model_events import ( + RealtimeModelAudioDoneEvent, + RealtimeModelAudioEvent, + RealtimeModelAudioInterruptedEvent, + RealtimeModelErrorEvent, + RealtimeModelEvent, + RealtimeModelInputAudioTranscriptionCompletedEvent, + RealtimeModelItemDeletedEvent, + RealtimeModelItemUpdatedEvent, + RealtimeModelToolCallEvent, + RealtimeModelTranscriptDeltaEvent, + RealtimeModelTurnEndedEvent, + RealtimeModelTurnStartedEvent, ) -class OpenAIRealtimeWebSocketTransport(RealtimeSessionTransport): - """A transport layer for realtime sessions that uses OpenAI's WebSocket API.""" +async def get_api_key(key: str | Callable[[], MaybeAwaitable[str]] | None) -> str | None: + if isinstance(key, str): + return key + elif callable(key): + result = key() + if inspect.isawaitable(result): + return await result + return result + + return os.getenv("OPENAI_API_KEY") + + +class OpenAIRealtimeWebSocketModel(RealtimeModel): + """A model that uses OpenAI's WebSocket API.""" def __init__(self) -> None: self.model = "gpt-4o-realtime-preview" # Default model self._websocket: ClientConnection | None = None self._websocket_task: asyncio.Task[None] | None = None - self._listeners: list[RealtimeTransportListener] = [] + self._listeners: list[RealtimeModelListener] = [] self._current_item_id: str | None = None self._audio_start_time: datetime | None = None self._audio_length_ms: float = 0.0 self._ongoing_response: bool = False self._current_audio_content_index: int | None = None - async def connect(self, options: RealtimeTransportConnectionOptions) -> None: + async def connect(self, options: RealtimeModelConfig) -> None: """Establish a connection to the model and keep it alive.""" assert self._websocket is None, "Already connected" assert self._websocket_task is None, "Already connected" - self.model = options.get("model", self.model) - api_key = await get_api_key(options.get("api_key", os.getenv("OPENAI_API_KEY"))) + model_settings: RealtimeSessionModelSettings = options.get("initial_model_settings", {}) + + self.model = model_settings.get("model_name", self.model) + api_key = await get_api_key(options.get("api_key")) if not api_key: raise UserError("API key is required but was not provided.") @@ -71,15 +94,15 @@ async def connect(self, options: RealtimeTransportConnectionOptions) -> None: self._websocket = await websockets.connect(url, additional_headers=headers) self._websocket_task = asyncio.create_task(self._listen_for_messages()) - def add_listener(self, listener: RealtimeTransportListener) -> None: - """Add a listener to the transport.""" + def add_listener(self, listener: RealtimeModelListener) -> None: + """Add a listener to the model.""" self._listeners.append(listener) - async def remove_listener(self, listener: RealtimeTransportListener) -> None: - """Remove a listener from the transport.""" + def remove_listener(self, listener: RealtimeModelListener) -> None: + """Remove a listener from the model.""" self._listeners.remove(listener) - async def _emit_event(self, event: RealtimeTransportEvent) -> None: + async def _emit_event(self, event: RealtimeModelEvent) -> None: """Emit an event to the listeners.""" for listener in self._listeners: await listener.on_event(event) @@ -154,7 +177,7 @@ async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: await self.send_event({"type": "input_audio_buffer.commit"}) async def send_tool_output( - self, tool_call: RealtimeTransportToolCallEvent, output: str, start_response: bool + self, tool_call: RealtimeModelToolCallEvent, output: str, start_response: bool ) -> None: """Send tool output to the model.""" await self.send_event( @@ -179,7 +202,7 @@ async def send_tool_output( name=tool_call.name, output=output, ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=tool_item)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=tool_item)) if start_response: await self.send_event({"type": "response.create"}) @@ -193,7 +216,7 @@ async def interrupt(self) -> None: elapsed_time_ms = (datetime.now() - self._audio_start_time).total_seconds() * 1000 if elapsed_time_ms > 0 and elapsed_time_ms < self._audio_length_ms: - await self._emit_event(RealtimeTransportAudioInterruptedEvent()) + await self._emit_event(RealtimeModelAudioInterruptedEvent()) await self.send_event( { "type": "conversation.item.truncate", @@ -231,9 +254,7 @@ async def _handle_ws_event(self, event: dict[str, Any]): ).validate_python(event) except Exception as e: logger.error(f"Invalid event: {event} - {e}") - await self._emit_event( - RealtimeTransportErrorEvent(error=f"Invalid event: {event} - {e}") - ) + # await self._emit_event(RealtimeModelErrorEvent(error=f"Invalid event: {event} - {e}")) return if parsed.type == "response.audio.delta": @@ -247,25 +268,25 @@ async def _handle_ws_event(self, event: dict[str, Any]): # Calculate audio length in ms using 24KHz pcm16le self._audio_length_ms += len(audio_bytes) / 24 / 2 await self._emit_event( - RealtimeTransportAudioEvent(data=audio_bytes, response_id=parsed.response_id) + RealtimeModelAudioEvent(data=audio_bytes, response_id=parsed.response_id) ) elif parsed.type == "response.audio.done": - await self._emit_event(RealtimeTransportAudioDoneEvent()) + await self._emit_event(RealtimeModelAudioDoneEvent()) elif parsed.type == "input_audio_buffer.speech_started": await self.interrupt() elif parsed.type == "response.created": self._ongoing_response = True - await self._emit_event(RealtimeTransportTurnStartedEvent()) + await self._emit_event(RealtimeModelTurnStartedEvent()) elif parsed.type == "response.done": self._ongoing_response = False - await self._emit_event(RealtimeTransportTurnEndedEvent()) + await self._emit_event(RealtimeModelTurnEndedEvent()) elif parsed.type == "session.created": # TODO (rm) tracing stuff here pass elif parsed.type == "error": - await self._emit_event(RealtimeTransportErrorEvent(error=parsed.error)) + await self._emit_event(RealtimeModelErrorEvent(error=parsed.error)) elif parsed.type == "conversation.item.deleted": - await self._emit_event(RealtimeTransportItemDeletedEvent(item_id=parsed.item_id)) + await self._emit_event(RealtimeModelItemDeletedEvent(item_id=parsed.item_id)) elif ( parsed.type == "conversation.item.created" or parsed.type == "conversation.item.retrieved" @@ -284,7 +305,7 @@ async def _handle_ws_event(self, event: dict[str, Any]): "status": "in_progress", } ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=message_item)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=message_item)) elif ( parsed.type == "conversation.item.input_audio_transcription.completed" or parsed.type == "conversation.item.truncated" @@ -299,13 +320,13 @@ async def _handle_ws_event(self, event: dict[str, Any]): ) if parsed.type == "conversation.item.input_audio_transcription.completed": await self._emit_event( - RealtimeTransportInputAudioTranscriptionCompletedEvent( + RealtimeModelInputAudioTranscriptionCompletedEvent( item_id=parsed.item_id, transcript=parsed.transcript ) ) elif parsed.type == "response.audio_transcript.delta": await self._emit_event( - RealtimeTransportTranscriptDelta( + RealtimeModelTranscriptDeltaEvent( item_id=parsed.item_id, delta=parsed.delta, response_id=parsed.response_id ) ) @@ -333,9 +354,9 @@ async def _handle_ws_event(self, event: dict[str, Any]): name=item.name or "", output=None, ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=tool_call)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=tool_call)) await self._emit_event( - RealtimeTransportToolCallEvent( + RealtimeModelToolCallEvent( call_id=item.id or "", name=item.name or "", arguments=item.arguments or "", @@ -352,4 +373,4 @@ async def _handle_ws_event(self, event: dict[str, Any]): "status": "in_progress", } ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=message_item)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=message_item)) diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index fd2a0a3ff..7ed739e49 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -2,76 +2,32 @@ from __future__ import annotations -import abc import asyncio -from collections.abc import Awaitable -from typing import Any, Callable, Literal +from typing import Literal -from typing_extensions import TypeAlias, assert_never +from agents.realtime.connection import RealtimeSession +from agents.realtime.openai_realtime import OpenAIRealtimeWebSocketModel -from ..handoffs import Handoff -from ..run_context import RunContextWrapper -from ..tool import FunctionTool -from ..tool_context import ToolContext +from ..run_context import RunContextWrapper, TContext from .agent import RealtimeAgent -from .config import APIKeyOrKeyFunc, RealtimeSessionConfig, RealtimeUserInput +from .config import ( + RealtimeModelName, + RealtimeRunConfig, + RealtimeSessionModelSettings, +) from .events import ( - RealtimeAgentEndEvent, - RealtimeAgentStartEvent, - RealtimeAudio, - RealtimeAudioEnd, - RealtimeAudioInterrupted, - RealtimeError, RealtimeEventInfo, RealtimeHandoffEvent, # noqa: F401 - RealtimeHistoryAdded, - RealtimeHistoryUpdated, - RealtimeRawTransportEvent, - RealtimeSessionEvent, - RealtimeToolEnd, - RealtimeToolStart, -) -from .items import InputAudio, InputText, RealtimeItem -from .openai_realtime import OpenAIRealtimeWebSocketTransport -from .transport import ( - RealtimeModelName, - RealtimeSessionTransport, - RealtimeTransportConnectionOptions, - RealtimeTransportListener, ) -from .transport_events import ( - RealtimeTransportEvent, - RealtimeTransportInputAudioTranscriptionCompletedEvent, - RealtimeTransportToolCallEvent, +from .items import RealtimeItem +from .model import ( + RealtimeModel, + RealtimeModelConfig, ) -class RealtimeSessionListener(abc.ABC): - """A listener for realtime session events.""" - - @abc.abstractmethod - async def on_event(self, event: RealtimeSessionEvent) -> None: - """Called when an event is emitted by the realtime session.""" - pass - - -RealtimeSessionListenerFunc: TypeAlias = Callable[[RealtimeSessionEvent], Awaitable[None]] -"""A function that can be used as a listener for realtime session events.""" - - -class _RealtimeFuncListener(RealtimeSessionListener): - """A listener that wraps a function.""" - - def __init__(self, func: RealtimeSessionListenerFunc) -> None: - self._func = func - - async def on_event(self, event: RealtimeSessionEvent) -> None: - """Call the wrapped function with the event.""" - await self._func(event) - - -class RealtimeSession(RealtimeTransportListener): - """A `RealtimeSession` is the equivalent of `Runner` for realtime agents. It automatically +class RealtimeRunner: + """A `RealtimeRunner` is the equivalent of `Runner` for realtime agents. It automatically handles multiple turns by maintaining a persistent connection with the underlying transport layer. @@ -86,16 +42,12 @@ def __init__( self, starting_agent: RealtimeAgent, *, - context: Any | None = None, - transport: Literal["websocket"] | RealtimeSessionTransport = "websocket", - api_key: APIKeyOrKeyFunc | None = None, + context: TContext | None = None, + transport: Literal["websocket"] | RealtimeModel = "websocket", model: RealtimeModelName | None = None, - config: RealtimeSessionConfig | None = None, - # TODO (rm) Add guardrail support - # TODO (rm) Add tracing support - # TODO (rm) Add history audio storage config + config: RealtimeRunConfig | None = None, ) -> None: - """Initialize the realtime session. + """Initialize the realtime runner. Args: starting_agent: The agent to start the session with. @@ -111,259 +63,69 @@ def __init__( self._override_config = config self._history: list[RealtimeItem] = [] self._model = model - self._api_key = api_key - - self._listeners: list[RealtimeSessionListener] = [] if transport == "websocket": - self._transport: RealtimeSessionTransport = OpenAIRealtimeWebSocketTransport() + self._transport: RealtimeModel = OpenAIRealtimeWebSocketModel() else: self._transport = transport - async def __aenter__(self) -> RealtimeSession: - """Async context manager entry.""" - await self.connect() - return self - - async def __aexit__(self, _exc_type: Any, _exc_val: Any, _exc_tb: Any) -> None: - """Async context manager exit.""" - await self.end() - - async def connect(self) -> None: - """Start the session: connect to the model and start the connection.""" - self._transport.add_listener(self) - - config = await self.create_session_config( - overrides=self._override_config, + async def run(self, *, model_config: RealtimeModelConfig | None = None) -> RealtimeSession: + """Start the session and return a session. + + Returns: + RealtimeSession: A session object that supports async context management + and async iteration for streaming events. + + Example: + ```python + runner = RealtimeRunner(agent) + async with await runner.run() as session: + await session.send_message("Hello") + async for event in session: + print(event) + ``` + """ + model_settings = await self._get_model_settings( + initial_settings=model_config.get("initial_model_settings") if model_config else None, + overrides=self._override_config.get("model_settings") + if self._override_config + else None, ) - options: RealtimeTransportConnectionOptions = { - "initial_session_config": config, - } - - if config.get("api_key") is not None: - options["api_key"] = config["api_key"] - elif self._api_key is not None: - options["api_key"] = self._api_key - - if config.get("model") is not None: - options["model"] = config["model"] - elif self._model is not None: - options["model"] = self._model - - await self._transport.connect(options) - - await self._emit_event( - RealtimeHistoryUpdated( - history=self._history, - info=self._event_info, - ) + model_config = model_config.copy() if model_config else {} + model_config["initial_model_settings"] = model_settings + + # Create and return the connection + session = RealtimeSession( + transport=self._transport, + agent=self._current_agent, + context_wrapper=self._context_wrapper, + event_info=self._event_info, + history=self._history.copy(), + model_config=model_config, ) - async def end(self) -> None: - """End the session: disconnect from the model and close the connection.""" - pass + return session - def add_listener(self, listener: RealtimeSessionListener | RealtimeSessionListenerFunc) -> None: - """Add a listener to the session.""" - if isinstance(listener, RealtimeSessionListener): - self._listeners.append(listener) - else: - self._listeners.append(_RealtimeFuncListener(listener)) - - def remove_listener( - self, listener: RealtimeSessionListener | RealtimeSessionListenerFunc - ) -> None: - """Remove a listener from the session.""" - if isinstance(listener, RealtimeSessionListener): - self._listeners.remove(listener) - else: - for x in self._listeners: - if isinstance(x, _RealtimeFuncListener) and x._func == listener: - self._listeners.remove(x) - break + async def _get_model_settings( + self, + initial_settings: RealtimeSessionModelSettings | None = None, + overrides: RealtimeSessionModelSettings | None = None, + ) -> RealtimeSessionModelSettings: + model_settings = initial_settings.copy() if initial_settings else {} - async def create_session_config( - self, overrides: RealtimeSessionConfig | None = None - ) -> RealtimeSessionConfig: - """Create the session config.""" agent = self._current_agent instructions, tools = await asyncio.gather( agent.get_system_prompt(self._context_wrapper), agent.get_all_tools(self._context_wrapper), ) - config = RealtimeSessionConfig() - if self._model is not None: - config["model"] = self._model if instructions is not None: - config["instructions"] = instructions + model_settings["instructions"] = instructions if tools is not None: - config["tools"] = [tool for tool in tools if isinstance(tool, FunctionTool)] + model_settings["tools"] = tools if overrides: - config.update(overrides) - - return config - - async def send_message(self, message: RealtimeUserInput) -> None: - """Send a message to the model.""" - await self._transport.send_message(message) - - async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: - """Send a raw audio chunk to the model.""" - await self._transport.send_audio(audio, commit=commit) - - async def interrupt(self) -> None: - """Interrupt the model.""" - await self._transport.interrupt() - - async def on_event(self, event: RealtimeTransportEvent) -> None: - """Called when an event is emitted by the realtime transport.""" - await self._emit_event(RealtimeRawTransportEvent(data=event, info=self._event_info)) - - if event.type == "error": - await self._emit_event(RealtimeError(info=self._event_info, error=event.error)) - elif event.type == "function_call": - await self._handle_tool_call(event) - elif event.type == "audio": - await self._emit_event(RealtimeAudio(info=self._event_info, audio=event)) - elif event.type == "audio_interrupted": - await self._emit_event(RealtimeAudioInterrupted(info=self._event_info)) - elif event.type == "audio_done": - await self._emit_event(RealtimeAudioEnd(info=self._event_info)) - elif event.type == "conversation.item.input_audio_transcription.completed": - self._history = self._get_new_history(self._history, event) - await self._emit_event( - RealtimeHistoryUpdated(info=self._event_info, history=self._history) - ) - elif event.type == "transcript_delta": - # TODO (rm) Add guardrails - pass - elif event.type == "item_updated": - is_new = any(item.item_id == event.item.item_id for item in self._history) - self._history = self._get_new_history(self._history, event.item) - if is_new: - new_item = next( - item for item in self._history if item.item_id == event.item.item_id - ) - await self._emit_event(RealtimeHistoryAdded(info=self._event_info, item=new_item)) - else: - await self._emit_event( - RealtimeHistoryUpdated(info=self._event_info, history=self._history) - ) - pass - elif event.type == "item_deleted": - deleted_id = event.item_id - self._history = [item for item in self._history if item.item_id != deleted_id] - await self._emit_event( - RealtimeHistoryUpdated(info=self._event_info, history=self._history) - ) - elif event.type == "connection_status": - pass - elif event.type == "turn_started": - await self._emit_event( - RealtimeAgentStartEvent( - agent=self._current_agent, - info=self._event_info, - ) - ) - elif event.type == "turn_ended": - await self._emit_event( - RealtimeAgentEndEvent( - agent=self._current_agent, - info=self._event_info, - ) - ) - elif event.type == "other": - pass - else: - assert_never(event) + model_settings.update(overrides) - async def _emit_event(self, event: RealtimeSessionEvent) -> None: - """Emit an event to the listeners.""" - await asyncio.gather(*[listener.on_event(event) for listener in self._listeners]) - - async def _handle_tool_call(self, event: RealtimeTransportToolCallEvent) -> None: - all_tools = await self._current_agent.get_all_tools(self._context_wrapper) - function_map = {tool.name: tool for tool in all_tools if isinstance(tool, FunctionTool)} - handoff_map = {tool.name: tool for tool in all_tools if isinstance(tool, Handoff)} - - if event.name in function_map: - await self._emit_event( - RealtimeToolStart( - info=self._event_info, - tool=function_map[event.name], - agent=self._current_agent, - ) - ) - - func_tool = function_map[event.name] - tool_context = ToolContext.from_agent_context(self._context_wrapper, event.call_id) - result = await func_tool.on_invoke_tool(tool_context, event.arguments) - - await self._transport.send_tool_output(event, str(result), True) - - await self._emit_event( - RealtimeToolEnd( - info=self._event_info, - tool=func_tool, - output=result, - agent=self._current_agent, - ) - ) - elif event.name in handoff_map: - # TODO (rm) Add support for handoffs - pass - else: - # TODO (rm) Add error handling - pass - - def _get_new_history( - self, - old_history: list[RealtimeItem], - event: RealtimeTransportInputAudioTranscriptionCompletedEvent | RealtimeItem, - ) -> list[RealtimeItem]: - # Merge transcript into placeholder input_audio message. - if isinstance(event, RealtimeTransportInputAudioTranscriptionCompletedEvent): - new_history: list[RealtimeItem] = [] - for item in old_history: - if item.item_id == event.item_id and item.type == "message" and item.role == "user": - content: list[InputText | InputAudio] = [] - for entry in item.content: - if entry.type == "input_audio": - copied_entry = entry.model_copy(update={"transcript": event.transcript}) - content.append(copied_entry) - else: - content.append(entry) # type: ignore - new_history.append( - item.model_copy(update={"content": content, "status": "completed"}) - ) - else: - new_history.append(item) - return new_history - - # Otherwise it's just a new item - # TODO (rm) Add support for audio storage config - - # If the item already exists, update it - existing_index = next( - (i for i, item in enumerate(old_history) if item.item_id == event.item_id), None - ) - if existing_index is not None: - new_history = old_history.copy() - new_history[existing_index] = event - return new_history - # Otherwise, insert it after the previous_item_id if that is set - elif item.previous_item_id: - # Insert the new item after the previous item - previous_index = next( - (i for i, item in enumerate(old_history) if item.item_id == event.previous_item_id), - None, - ) - if previous_index is not None: - new_history = old_history.copy() - new_history.insert(previous_index + 1, event) - return new_history - # Otherwise, add it to the end - return old_history + [event] + return model_settings diff --git a/src/agents/realtime/transport.py b/src/agents/realtime/transport.py deleted file mode 100644 index 18290d128..000000000 --- a/src/agents/realtime/transport.py +++ /dev/null @@ -1,107 +0,0 @@ -import abc -from typing import Any, Literal, Union - -from typing_extensions import NotRequired, TypeAlias, TypedDict - -from .config import APIKeyOrKeyFunc, RealtimeClientMessage, RealtimeSessionConfig, RealtimeUserInput -from .transport_events import RealtimeTransportEvent, RealtimeTransportToolCallEvent - -RealtimeModelName: TypeAlias = Union[ - Literal[ - "gpt-4o-realtime-preview", - "gpt-4o-mini-realtime-preview", - "gpt-4o-realtime-preview-2025-06-03", - "gpt-4o-realtime-preview-2024-12-17", - "gpt-4o-realtime-preview-2024-10-01", - "gpt-4o-mini-realtime-preview-2024-12-17", - ], - str, -] -"""The name of a realtime model.""" - - -class RealtimeTransportListener(abc.ABC): - """A listener for realtime transport events.""" - - @abc.abstractmethod - async def on_event(self, event: RealtimeTransportEvent) -> None: - """Called when an event is emitted by the realtime transport.""" - pass - - -class RealtimeTransportConnectionOptions(TypedDict): - """Options for connecting to a realtime transport.""" - - api_key: NotRequired[APIKeyOrKeyFunc] - """The API key to use for the transport. If unset, the transport will attempt to use the - `OPENAI_API_KEY` environment variable. - """ - - model: NotRequired[str] - """The model to use.""" - - url: NotRequired[str] - """The URL to use for the transport. If unset, the transport will use the default OpenAI - WebSocket URL. - """ - - initial_session_config: NotRequired[RealtimeSessionConfig] - - -class RealtimeSessionTransport(abc.ABC): - """A transport layer for realtime sessions.""" - - @abc.abstractmethod - async def connect(self, options: RealtimeTransportConnectionOptions) -> None: - """Establish a connection to the model and keep it alive.""" - pass - - @abc.abstractmethod - def add_listener(self, listener: RealtimeTransportListener) -> None: - """Add a listener to the transport.""" - pass - - @abc.abstractmethod - async def remove_listener(self, listener: RealtimeTransportListener) -> None: - """Remove a listener from the transport.""" - pass - - @abc.abstractmethod - async def send_event(self, event: RealtimeClientMessage) -> None: - """Send an event to the model.""" - pass - - @abc.abstractmethod - async def send_message( - self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None - ) -> None: - """Send a message to the model.""" - pass - - @abc.abstractmethod - async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: - """Send a raw audio chunk to the model. - - Args: - audio: The audio data to send. - commit: Whether to commit the audio buffer to the model. If the model does not do turn - detection, this can be used to indicate the turn is completed. - """ - pass - - @abc.abstractmethod - async def send_tool_output( - self, tool_call: RealtimeTransportToolCallEvent, output: str, start_response: bool - ) -> None: - """Send tool output to the model.""" - pass - - @abc.abstractmethod - async def interrupt(self) -> None: - """Interrupt the model. For example, could be triggered by a guardrail.""" - pass - - @abc.abstractmethod - async def close(self) -> None: - """Close the session.""" - pass diff --git a/tests/realtime/test_transport_events.py b/tests/realtime/test_model_events.py similarity index 68% rename from tests/realtime/test_transport_events.py rename to tests/realtime/test_model_events.py index 2219303d0..b8696cc29 100644 --- a/tests/realtime/test_transport_events.py +++ b/tests/realtime/test_model_events.py @@ -1,11 +1,11 @@ from typing import get_args -from agents.realtime.transport_events import RealtimeTransportEvent +from agents.realtime.model_events import RealtimeModelEvent def test_all_events_have_type() -> None: """Test that all events have a type.""" - events = get_args(RealtimeTransportEvent) + events = get_args(RealtimeModelEvent) assert len(events) > 0 for event in events: assert event.type is not None From b70c64ae9a1be1355f4cb2d98b14eaf1fd0b9267 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 15:14:52 -0400 Subject: [PATCH 190/337] [8/n] Make realtime more like the rest of agents sdk Key changes: 1. Transport -> model. 2. Extract any model settings into `RealtimeSessionModelSettings`. 3. RealtimeRunConfig, similar to the RunConfig in `run.py`. Next PR I'll update session to be better. --- .vscode/launch.json | 14 + examples/realtime/demo.py | 25 +- src/agents/realtime/__init__.py | 44 ++- src/agents/realtime/config.py | 51 +-- src/agents/realtime/events.py | 6 +- src/agents/realtime/model.py | 97 ++++++ .../{transport_events.py => model_events.py} | 54 +-- src/agents/realtime/openai_realtime.py | 117 ++++--- src/agents/realtime/runner.py | 112 +++++++ src/agents/realtime/session.py | 307 +++++++----------- src/agents/realtime/transport.py | 107 ------ ...ansport_events.py => test_model_events.py} | 4 +- 12 files changed, 519 insertions(+), 419 deletions(-) create mode 100644 .vscode/launch.json create mode 100644 src/agents/realtime/model.py rename src/agents/realtime/{transport_events.py => model_events.py} (66%) create mode 100644 src/agents/realtime/runner.py delete mode 100644 src/agents/realtime/transport.py rename tests/realtime/{test_transport_events.py => test_model_events.py} (68%) diff --git a/.vscode/launch.json b/.vscode/launch.json new file mode 100644 index 000000000..a75c1414f --- /dev/null +++ b/.vscode/launch.json @@ -0,0 +1,14 @@ +{ + // Use IntelliSense to learn about possible attributes. + // Hover to view descriptions of existing attributes. + // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387 + "version": "0.2.0", + "configurations": [ + { + "name": "Python Debugger: Python File", + "type": "debugpy", + "request": "launch", + "program": "${file}" + } + ] +} \ No newline at end of file diff --git a/examples/realtime/demo.py b/examples/realtime/demo.py index a2ea96545..ca5e57987 100644 --- a/examples/realtime/demo.py +++ b/examples/realtime/demo.py @@ -5,11 +5,13 @@ import numpy as np +from agents.realtime import RealtimeSession + # Add the current directory to path so we can import ui sys.path.append(os.path.dirname(os.path.abspath(__file__))) from agents import function_tool -from agents.realtime import RealtimeAgent, RealtimeSession, RealtimeSessionEvent +from agents.realtime import RealtimeAgent, RealtimeRunner, RealtimeSessionEvent if TYPE_CHECKING: from .ui import AppUI @@ -38,23 +40,34 @@ def get_weather(city: str) -> str: class Example: def __init__(self) -> None: - self.session = RealtimeSession(agent) self.ui = AppUI() self.ui.connected = asyncio.Event() self.ui.last_audio_item_id = None # Set the audio callback self.ui.set_audio_callback(self.on_audio_recorded) + self.session: RealtimeSession | None = None + async def run(self) -> None: - self.session.add_listener(self.on_event) - await self.session.connect() - self.ui.set_is_connected(True) - await self.ui.run_async() + # Start UI in a separate task instead of waiting for it to complete + ui_task = asyncio.create_task(self.ui.run_async()) + + # Set up session immediately without waiting for UI to finish + runner = RealtimeRunner(agent) + async with await runner.run() as session: + self.session = session + self.ui.set_is_connected(True) + async for event in session: + await self.on_event(event) + + # Wait for UI task to complete when session ends + await ui_task async def on_audio_recorded(self, audio_bytes: bytes) -> None: """Called when audio is recorded by the UI.""" try: # Send the audio to the session + assert self.session is not None await self.session.send_audio(audio_bytes) except Exception as e: self.ui.log_message(f"Error sending audio: {e}") diff --git a/src/agents/realtime/__init__.py b/src/agents/realtime/__init__.py index 7e5d4932a..3d30bdbf1 100644 --- a/src/agents/realtime/__init__.py +++ b/src/agents/realtime/__init__.py @@ -1,5 +1,17 @@ from .agent import RealtimeAgent, RealtimeAgentHooks, RealtimeRunHooks -from .config import APIKeyOrKeyFunc +from .config import ( + RealtimeAudioFormat, + RealtimeClientMessage, + RealtimeInputAudioTranscriptionConfig, + RealtimeModelName, + RealtimeRunConfig, + RealtimeSessionModelSettings, + RealtimeTurnDetectionConfig, + RealtimeUserInput, + RealtimeUserInputMessage, + RealtimeUserInputText, +) +from .connection import RealtimeSession from .events import ( RealtimeAgentEndEvent, RealtimeAgentStartEvent, @@ -15,26 +27,33 @@ RealtimeToolEnd, RealtimeToolStart, ) -from .session import RealtimeSession -from .transport import ( - RealtimeModelName, - RealtimeSessionTransport, - RealtimeTransportConnectionOptions, - RealtimeTransportListener, +from .model import ( + RealtimeModel, + RealtimeModelConfig, + RealtimeModelListener, ) +from .runner import RealtimeRunner __all__ = [ "RealtimeAgent", "RealtimeAgentHooks", "RealtimeRunHooks", - "RealtimeSession", + "RealtimeRunner", "RealtimeSessionListener", "RealtimeSessionListenerFunc", - "APIKeyOrKeyFunc", + "RealtimeRunConfig", + "RealtimeSessionModelSettings", + "RealtimeInputAudioTranscriptionConfig", + "RealtimeTurnDetectionConfig", + "RealtimeAudioFormat", + "RealtimeClientMessage", + "RealtimeUserInput", + "RealtimeUserInputMessage", + "RealtimeUserInputText", "RealtimeModelName", - "RealtimeSessionTransport", - "RealtimeTransportListener", - "RealtimeTransportConnectionOptions", + "RealtimeModel", + "RealtimeModelListener", + "RealtimeModelConfig", "RealtimeSessionEvent", "RealtimeAgentStartEvent", "RealtimeAgentEndEvent", @@ -48,4 +67,5 @@ "RealtimeError", "RealtimeHistoryUpdated", "RealtimeHistoryAdded", + "RealtimeSession", ] diff --git a/src/agents/realtime/config.py b/src/agents/realtime/config.py index aa15c837d..459a03a9a 100644 --- a/src/agents/realtime/config.py +++ b/src/agents/realtime/config.py @@ -1,9 +1,7 @@ from __future__ import annotations -import inspect from typing import ( Any, - Callable, Literal, Union, ) @@ -11,8 +9,20 @@ from typing_extensions import NotRequired, TypeAlias, TypedDict from ..model_settings import ToolChoice -from ..tool import FunctionTool -from ..util._types import MaybeAwaitable +from ..tool import Tool + +RealtimeModelName: TypeAlias = Union[ + Literal[ + "gpt-4o-realtime-preview", + "gpt-4o-mini-realtime-preview", + "gpt-4o-realtime-preview-2025-06-03", + "gpt-4o-realtime-preview-2024-12-17", + "gpt-4o-realtime-preview-2024-10-01", + "gpt-4o-mini-realtime-preview-2024-12-17", + ], + str, +] +"""The name of a realtime model.""" class RealtimeClientMessage(TypedDict): @@ -20,7 +30,7 @@ class RealtimeClientMessage(TypedDict): other_data: NotRequired[dict[str, Any]] -class UserInputText(TypedDict): +class RealtimeUserInputText(TypedDict): type: Literal["input_text"] text: str @@ -28,7 +38,7 @@ class UserInputText(TypedDict): class RealtimeUserInputMessage(TypedDict): type: Literal["message"] role: Literal["user"] - content: list[UserInputText] + content: list[RealtimeUserInputText] RealtimeUserInput: TypeAlias = Union[str, RealtimeUserInputMessage] @@ -55,9 +65,11 @@ class RealtimeTurnDetectionConfig(TypedDict): threshold: NotRequired[float] -class RealtimeSessionConfig(TypedDict): - api_key: NotRequired[APIKeyOrKeyFunc] - model: NotRequired[str] +class RealtimeSessionModelSettings(TypedDict): + """Model settings for a realtime model session.""" + + model_name: NotRequired[RealtimeModelName] + instructions: NotRequired[str] modalities: NotRequired[list[Literal["text", "audio"]]] voice: NotRequired[str] @@ -68,24 +80,13 @@ class RealtimeSessionConfig(TypedDict): turn_detection: NotRequired[RealtimeTurnDetectionConfig] tool_choice: NotRequired[ToolChoice] - tools: NotRequired[list[FunctionTool]] - - -APIKeyOrKeyFunc = str | Callable[[], MaybeAwaitable[str]] -"""Either an API key or a function that returns an API key.""" - + tools: NotRequired[list[Tool]] -async def get_api_key(key: APIKeyOrKeyFunc | None) -> str | None: - """Get the API key from the key or key function.""" - if key is None: - return None - elif isinstance(key, str): - return key - result = key() - if inspect.isawaitable(result): - return await result - return result +class RealtimeRunConfig(TypedDict): + model_settings: NotRequired[RealtimeSessionModelSettings] # TODO (rm) Add tracing support # tracing: NotRequired[RealtimeTracingConfig | None] + # TODO (rm) Add guardrail support + # TODO (rm) Add history audio storage config diff --git a/src/agents/realtime/events.py b/src/agents/realtime/events.py index bd6b7b5b0..c96357e1a 100644 --- a/src/agents/realtime/events.py +++ b/src/agents/realtime/events.py @@ -7,7 +7,7 @@ from ..tool import Tool from .agent import RealtimeAgent from .items import RealtimeItem -from .transport_events import RealtimeTransportAudioEvent, RealtimeTransportEvent +from .model_events import RealtimeModelAudioEvent, RealtimeModelEvent @dataclass @@ -96,7 +96,7 @@ class RealtimeToolEnd: class RealtimeRawTransportEvent: """Forwards raw events from the transport layer.""" - data: RealtimeTransportEvent + data: RealtimeModelEvent """The raw data from the transport layer.""" info: RealtimeEventInfo @@ -119,7 +119,7 @@ class RealtimeAudioEnd: class RealtimeAudio: """Triggered when the agent generates new audio to be played.""" - audio: RealtimeTransportAudioEvent + audio: RealtimeModelAudioEvent """The audio event from the transport layer.""" info: RealtimeEventInfo diff --git a/src/agents/realtime/model.py b/src/agents/realtime/model.py new file mode 100644 index 000000000..704751917 --- /dev/null +++ b/src/agents/realtime/model.py @@ -0,0 +1,97 @@ +import abc +from typing import Any, Callable + +from typing_extensions import NotRequired, TypedDict + +from ..util._types import MaybeAwaitable +from .config import ( + RealtimeClientMessage, + RealtimeSessionModelSettings, + RealtimeUserInput, +) +from .model_events import RealtimeModelEvent, RealtimeModelToolCallEvent + + +class RealtimeModelListener(abc.ABC): + """A listener for realtime transport events.""" + + @abc.abstractmethod + async def on_event(self, event: RealtimeModelEvent) -> None: + """Called when an event is emitted by the realtime transport.""" + pass + + +class RealtimeModelConfig(TypedDict): + """Options for connecting to a realtime model.""" + + api_key: NotRequired[str | Callable[[], MaybeAwaitable[str]]] + """The API key (or function that returns a key) to use when connecting. If unset, the model will + try to use a sane default. For example, the OpenAI Realtime model will try to use the + `OPENAI_API_KEY` environment variable. + """ + + url: NotRequired[str] + """The URL to use when connecting. If unset, the model will use a sane default. For example, + the OpenAI Realtime model will use the default OpenAI WebSocket URL. + """ + + initial_model_settings: NotRequired[RealtimeSessionModelSettings] + + +class RealtimeModel(abc.ABC): + """Interface for connecting to a realtime model and sending/receiving events.""" + + @abc.abstractmethod + async def connect(self, options: RealtimeModelConfig) -> None: + """Establish a connection to the model and keep it alive.""" + pass + + @abc.abstractmethod + def add_listener(self, listener: RealtimeModelListener) -> None: + """Add a listener to the model.""" + pass + + @abc.abstractmethod + def remove_listener(self, listener: RealtimeModelListener) -> None: + """Remove a listener from the model.""" + pass + + @abc.abstractmethod + async def send_event(self, event: RealtimeClientMessage) -> None: + """Send an event to the model.""" + pass + + @abc.abstractmethod + async def send_message( + self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None + ) -> None: + """Send a message to the model.""" + pass + + @abc.abstractmethod + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Send a raw audio chunk to the model. + + Args: + audio: The audio data to send. + commit: Whether to commit the audio buffer to the model. If the model does not do turn + detection, this can be used to indicate the turn is completed. + """ + pass + + @abc.abstractmethod + async def send_tool_output( + self, tool_call: RealtimeModelToolCallEvent, output: str, start_response: bool + ) -> None: + """Send tool output to the model.""" + pass + + @abc.abstractmethod + async def interrupt(self) -> None: + """Interrupt the model. For example, could be triggered by a guardrail.""" + pass + + @abc.abstractmethod + async def close(self) -> None: + """Close the session.""" + pass diff --git a/src/agents/realtime/transport_events.py b/src/agents/realtime/model_events.py similarity index 66% rename from src/agents/realtime/transport_events.py rename to src/agents/realtime/model_events.py index 735577b17..a9769cebd 100644 --- a/src/agents/realtime/transport_events.py +++ b/src/agents/realtime/model_events.py @@ -11,7 +11,7 @@ @dataclass -class RealtimeTransportErrorEvent: +class RealtimeModelErrorEvent: """Represents a transport‑layer error.""" error: Any @@ -20,7 +20,7 @@ class RealtimeTransportErrorEvent: @dataclass -class RealtimeTransportToolCallEvent: +class RealtimeModelToolCallEvent: """Model attempted a tool/function call.""" name: str @@ -34,7 +34,7 @@ class RealtimeTransportToolCallEvent: @dataclass -class RealtimeTransportAudioEvent: +class RealtimeModelAudioEvent: """Raw audio bytes emitted by the model.""" data: bytes @@ -44,21 +44,21 @@ class RealtimeTransportAudioEvent: @dataclass -class RealtimeTransportAudioInterruptedEvent: +class RealtimeModelAudioInterruptedEvent: """Audio interrupted.""" type: Literal["audio_interrupted"] = "audio_interrupted" @dataclass -class RealtimeTransportAudioDoneEvent: +class RealtimeModelAudioDoneEvent: """Audio done.""" type: Literal["audio_done"] = "audio_done" @dataclass -class RealtimeTransportInputAudioTranscriptionCompletedEvent: +class RealtimeModelInputAudioTranscriptionCompletedEvent: """Input audio transcription completed.""" item_id: str @@ -70,7 +70,7 @@ class RealtimeTransportInputAudioTranscriptionCompletedEvent: @dataclass -class RealtimeTransportTranscriptDelta: +class RealtimeModelTranscriptDeltaEvent: """Partial transcript update.""" item_id: str @@ -81,7 +81,7 @@ class RealtimeTransportTranscriptDelta: @dataclass -class RealtimeTransportItemUpdatedEvent: +class RealtimeModelItemUpdatedEvent: """Item added to the history or updated.""" item: RealtimeItem @@ -90,7 +90,7 @@ class RealtimeTransportItemUpdatedEvent: @dataclass -class RealtimeTransportItemDeletedEvent: +class RealtimeModelItemDeletedEvent: """Item deleted from the history.""" item_id: str @@ -99,7 +99,7 @@ class RealtimeTransportItemDeletedEvent: @dataclass -class RealtimeTransportConnectionStatusEvent: +class RealtimeModelConnectionStatusEvent: """Connection status changed.""" status: RealtimeConnectionStatus @@ -108,21 +108,21 @@ class RealtimeTransportConnectionStatusEvent: @dataclass -class RealtimeTransportTurnStartedEvent: +class RealtimeModelTurnStartedEvent: """Triggered when the model starts generating a response for a turn.""" type: Literal["turn_started"] = "turn_started" @dataclass -class RealtimeTransportTurnEndedEvent: +class RealtimeModelTurnEndedEvent: """Triggered when the model finishes generating a response for a turn.""" type: Literal["turn_ended"] = "turn_ended" @dataclass -class RealtimeTransportOtherEvent: +class RealtimeModelOtherEvent: """Used as a catchall for vendor-specific events.""" data: Any @@ -133,18 +133,18 @@ class RealtimeTransportOtherEvent: # TODO (rm) Add usage events -RealtimeTransportEvent: TypeAlias = Union[ - RealtimeTransportErrorEvent, - RealtimeTransportToolCallEvent, - RealtimeTransportAudioEvent, - RealtimeTransportAudioInterruptedEvent, - RealtimeTransportAudioDoneEvent, - RealtimeTransportInputAudioTranscriptionCompletedEvent, - RealtimeTransportTranscriptDelta, - RealtimeTransportItemUpdatedEvent, - RealtimeTransportItemDeletedEvent, - RealtimeTransportConnectionStatusEvent, - RealtimeTransportTurnStartedEvent, - RealtimeTransportTurnEndedEvent, - RealtimeTransportOtherEvent, +RealtimeModelEvent: TypeAlias = Union[ + RealtimeModelErrorEvent, + RealtimeModelToolCallEvent, + RealtimeModelAudioEvent, + RealtimeModelAudioInterruptedEvent, + RealtimeModelAudioDoneEvent, + RealtimeModelInputAudioTranscriptionCompletedEvent, + RealtimeModelTranscriptDeltaEvent, + RealtimeModelItemUpdatedEvent, + RealtimeModelItemDeletedEvent, + RealtimeModelConnectionStatusEvent, + RealtimeModelTurnStartedEvent, + RealtimeModelTurnEndedEvent, + RealtimeModelOtherEvent, ] diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 6dc34bcf1..b3f6eb2e0 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -1,9 +1,12 @@ +from __future__ import annotations + import asyncio import base64 +import inspect import json import os from datetime import datetime -from typing import Any +from typing import Any, Callable import websockets from openai.types.beta.realtime.realtime_server_event import ( @@ -12,52 +15,72 @@ from pydantic import TypeAdapter from websockets.asyncio.client import ClientConnection +from agents.util._types import MaybeAwaitable + from ..exceptions import UserError from ..logger import logger -from .config import RealtimeClientMessage, RealtimeUserInput, get_api_key +from .config import ( + RealtimeClientMessage, + RealtimeSessionModelSettings, + RealtimeUserInput, +) from .items import RealtimeMessageItem, RealtimeToolCallItem -from .transport import ( - RealtimeSessionTransport, - RealtimeTransportConnectionOptions, - RealtimeTransportListener, +from .model import ( + RealtimeModel, + RealtimeModelConfig, + RealtimeModelListener, ) -from .transport_events import ( - RealtimeTransportAudioDoneEvent, - RealtimeTransportAudioEvent, - RealtimeTransportAudioInterruptedEvent, - RealtimeTransportErrorEvent, - RealtimeTransportEvent, - RealtimeTransportInputAudioTranscriptionCompletedEvent, - RealtimeTransportItemDeletedEvent, - RealtimeTransportItemUpdatedEvent, - RealtimeTransportToolCallEvent, - RealtimeTransportTranscriptDelta, - RealtimeTransportTurnEndedEvent, - RealtimeTransportTurnStartedEvent, +from .model_events import ( + RealtimeModelAudioDoneEvent, + RealtimeModelAudioEvent, + RealtimeModelAudioInterruptedEvent, + RealtimeModelErrorEvent, + RealtimeModelEvent, + RealtimeModelInputAudioTranscriptionCompletedEvent, + RealtimeModelItemDeletedEvent, + RealtimeModelItemUpdatedEvent, + RealtimeModelToolCallEvent, + RealtimeModelTranscriptDeltaEvent, + RealtimeModelTurnEndedEvent, + RealtimeModelTurnStartedEvent, ) -class OpenAIRealtimeWebSocketTransport(RealtimeSessionTransport): - """A transport layer for realtime sessions that uses OpenAI's WebSocket API.""" +async def get_api_key(key: str | Callable[[], MaybeAwaitable[str]] | None) -> str | None: + if isinstance(key, str): + return key + elif callable(key): + result = key() + if inspect.isawaitable(result): + return await result + return result + + return os.getenv("OPENAI_API_KEY") + + +class OpenAIRealtimeWebSocketModel(RealtimeModel): + """A model that uses OpenAI's WebSocket API.""" def __init__(self) -> None: self.model = "gpt-4o-realtime-preview" # Default model self._websocket: ClientConnection | None = None self._websocket_task: asyncio.Task[None] | None = None - self._listeners: list[RealtimeTransportListener] = [] + self._listeners: list[RealtimeModelListener] = [] self._current_item_id: str | None = None self._audio_start_time: datetime | None = None self._audio_length_ms: float = 0.0 self._ongoing_response: bool = False self._current_audio_content_index: int | None = None - async def connect(self, options: RealtimeTransportConnectionOptions) -> None: + async def connect(self, options: RealtimeModelConfig) -> None: """Establish a connection to the model and keep it alive.""" assert self._websocket is None, "Already connected" assert self._websocket_task is None, "Already connected" - self.model = options.get("model", self.model) - api_key = await get_api_key(options.get("api_key", os.getenv("OPENAI_API_KEY"))) + model_settings: RealtimeSessionModelSettings = options.get("initial_model_settings", {}) + + self.model = model_settings.get("model_name", self.model) + api_key = await get_api_key(options.get("api_key")) if not api_key: raise UserError("API key is required but was not provided.") @@ -71,15 +94,15 @@ async def connect(self, options: RealtimeTransportConnectionOptions) -> None: self._websocket = await websockets.connect(url, additional_headers=headers) self._websocket_task = asyncio.create_task(self._listen_for_messages()) - def add_listener(self, listener: RealtimeTransportListener) -> None: - """Add a listener to the transport.""" + def add_listener(self, listener: RealtimeModelListener) -> None: + """Add a listener to the model.""" self._listeners.append(listener) - async def remove_listener(self, listener: RealtimeTransportListener) -> None: - """Remove a listener from the transport.""" + def remove_listener(self, listener: RealtimeModelListener) -> None: + """Remove a listener from the model.""" self._listeners.remove(listener) - async def _emit_event(self, event: RealtimeTransportEvent) -> None: + async def _emit_event(self, event: RealtimeModelEvent) -> None: """Emit an event to the listeners.""" for listener in self._listeners: await listener.on_event(event) @@ -154,7 +177,7 @@ async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: await self.send_event({"type": "input_audio_buffer.commit"}) async def send_tool_output( - self, tool_call: RealtimeTransportToolCallEvent, output: str, start_response: bool + self, tool_call: RealtimeModelToolCallEvent, output: str, start_response: bool ) -> None: """Send tool output to the model.""" await self.send_event( @@ -179,7 +202,7 @@ async def send_tool_output( name=tool_call.name, output=output, ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=tool_item)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=tool_item)) if start_response: await self.send_event({"type": "response.create"}) @@ -193,7 +216,7 @@ async def interrupt(self) -> None: elapsed_time_ms = (datetime.now() - self._audio_start_time).total_seconds() * 1000 if elapsed_time_ms > 0 and elapsed_time_ms < self._audio_length_ms: - await self._emit_event(RealtimeTransportAudioInterruptedEvent()) + await self._emit_event(RealtimeModelAudioInterruptedEvent()) await self.send_event( { "type": "conversation.item.truncate", @@ -231,9 +254,7 @@ async def _handle_ws_event(self, event: dict[str, Any]): ).validate_python(event) except Exception as e: logger.error(f"Invalid event: {event} - {e}") - await self._emit_event( - RealtimeTransportErrorEvent(error=f"Invalid event: {event} - {e}") - ) + # await self._emit_event(RealtimeModelErrorEvent(error=f"Invalid event: {event} - {e}")) return if parsed.type == "response.audio.delta": @@ -247,25 +268,25 @@ async def _handle_ws_event(self, event: dict[str, Any]): # Calculate audio length in ms using 24KHz pcm16le self._audio_length_ms += len(audio_bytes) / 24 / 2 await self._emit_event( - RealtimeTransportAudioEvent(data=audio_bytes, response_id=parsed.response_id) + RealtimeModelAudioEvent(data=audio_bytes, response_id=parsed.response_id) ) elif parsed.type == "response.audio.done": - await self._emit_event(RealtimeTransportAudioDoneEvent()) + await self._emit_event(RealtimeModelAudioDoneEvent()) elif parsed.type == "input_audio_buffer.speech_started": await self.interrupt() elif parsed.type == "response.created": self._ongoing_response = True - await self._emit_event(RealtimeTransportTurnStartedEvent()) + await self._emit_event(RealtimeModelTurnStartedEvent()) elif parsed.type == "response.done": self._ongoing_response = False - await self._emit_event(RealtimeTransportTurnEndedEvent()) + await self._emit_event(RealtimeModelTurnEndedEvent()) elif parsed.type == "session.created": # TODO (rm) tracing stuff here pass elif parsed.type == "error": - await self._emit_event(RealtimeTransportErrorEvent(error=parsed.error)) + await self._emit_event(RealtimeModelErrorEvent(error=parsed.error)) elif parsed.type == "conversation.item.deleted": - await self._emit_event(RealtimeTransportItemDeletedEvent(item_id=parsed.item_id)) + await self._emit_event(RealtimeModelItemDeletedEvent(item_id=parsed.item_id)) elif ( parsed.type == "conversation.item.created" or parsed.type == "conversation.item.retrieved" @@ -284,7 +305,7 @@ async def _handle_ws_event(self, event: dict[str, Any]): "status": "in_progress", } ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=message_item)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=message_item)) elif ( parsed.type == "conversation.item.input_audio_transcription.completed" or parsed.type == "conversation.item.truncated" @@ -299,13 +320,13 @@ async def _handle_ws_event(self, event: dict[str, Any]): ) if parsed.type == "conversation.item.input_audio_transcription.completed": await self._emit_event( - RealtimeTransportInputAudioTranscriptionCompletedEvent( + RealtimeModelInputAudioTranscriptionCompletedEvent( item_id=parsed.item_id, transcript=parsed.transcript ) ) elif parsed.type == "response.audio_transcript.delta": await self._emit_event( - RealtimeTransportTranscriptDelta( + RealtimeModelTranscriptDeltaEvent( item_id=parsed.item_id, delta=parsed.delta, response_id=parsed.response_id ) ) @@ -333,9 +354,9 @@ async def _handle_ws_event(self, event: dict[str, Any]): name=item.name or "", output=None, ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=tool_call)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=tool_call)) await self._emit_event( - RealtimeTransportToolCallEvent( + RealtimeModelToolCallEvent( call_id=item.id or "", name=item.name or "", arguments=item.arguments or "", @@ -352,4 +373,4 @@ async def _handle_ws_event(self, event: dict[str, Any]): "status": "in_progress", } ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=message_item)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=message_item)) diff --git a/src/agents/realtime/runner.py b/src/agents/realtime/runner.py new file mode 100644 index 000000000..d74e16f96 --- /dev/null +++ b/src/agents/realtime/runner.py @@ -0,0 +1,112 @@ +"""Minimal realtime session implementation for voice agents.""" + +from __future__ import annotations + +import asyncio + +from ..run_context import RunContextWrapper, TContext +from .agent import RealtimeAgent +from .config import ( + RealtimeRunConfig, + RealtimeSessionModelSettings, +) +from .connection import RealtimeSession +from .model import ( + RealtimeModel, + RealtimeModelConfig, +) +from .openai_realtime import OpenAIRealtimeWebSocketModel + + +class RealtimeRunner: + """A `RealtimeRunner` is the equivalent of `Runner` for realtime agents. It automatically + handles multiple turns by maintaining a persistent connection with the underlying transport + layer. + + The session manages the local history copy, executes tools, runs guardrails and facilitates + handoffs between agents. + + Since this code runs on your server, it uses WebSockets by default. You can optionally create + your own custom transport layer by implementing the `RealtimeSessionTransport` interface. + """ + + def __init__( + self, + starting_agent: RealtimeAgent, + *, + model: RealtimeModel | None = None, + config: RealtimeRunConfig | None = None, + ) -> None: + """Initialize the realtime runner. + + Args: + starting_agent: The agent to start the session with. + context: The context to use for the session. + model: The model to use. If not provided, will use a default OpenAI realtime model. + config: Override parameters to use for the entire run. + """ + self._starting_agent = starting_agent + self._config = config + self._model = model or OpenAIRealtimeWebSocketModel() + + async def run( + self, *, context: TContext | None = None, model_config: RealtimeModelConfig | None = None + ) -> RealtimeSession: + """Start and returns a realtime session. + + Returns: + RealtimeSession: A session object that allows bidirectional communication with the + realtime model. + + Example: + ```python + runner = RealtimeRunner(agent) + async with await runner.run() as session: + await session.send_message("Hello") + async for event in session: + print(event) + ``` + """ + model_settings = await self._get_model_settings( + agent=self._starting_agent, + initial_settings=model_config.get("initial_model_settings") if model_config else None, + overrides=self._config.get("model_settings") if self._config else None, + ) + + model_config = model_config.copy() if model_config else {} + model_config["initial_model_settings"] = model_settings + + # Create and return the connection + session = RealtimeSession( + model=self._model, + agent=self._starting_agent, + context=context, + model_config=model_config, + ) + + return session + + async def _get_model_settings( + self, + agent: RealtimeAgent, + context: TContext | None = None, + initial_settings: RealtimeSessionModelSettings | None = None, + overrides: RealtimeSessionModelSettings | None = None, + ) -> RealtimeSessionModelSettings: + context_wrapper = RunContextWrapper(context) + model_settings = initial_settings.copy() if initial_settings else {} + + instructions, tools = await asyncio.gather( + agent.get_system_prompt(context_wrapper), + agent.get_all_tools(context_wrapper), + ) + + if instructions is not None: + model_settings["instructions"] = instructions + if tools is not None: + model_settings["tools"] = tools + + if overrides: + model_settings.update(overrides) + + return model_settings diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index fd2a0a3ff..038100382 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -1,20 +1,15 @@ -"""Minimal realtime session implementation for voice agents.""" - -from __future__ import annotations - -import abc import asyncio -from collections.abc import Awaitable -from typing import Any, Callable, Literal +from collections.abc import AsyncIterator +from typing import Any -from typing_extensions import TypeAlias, assert_never +from typing_extensions import assert_never from ..handoffs import Handoff -from ..run_context import RunContextWrapper +from ..run_context import RunContextWrapper, TContext from ..tool import FunctionTool from ..tool_context import ToolContext from .agent import RealtimeAgent -from .config import APIKeyOrKeyFunc, RealtimeSessionConfig, RealtimeUserInput +from .config import RealtimeUserInput from .events import ( RealtimeAgentEndEvent, RealtimeAgentStartEvent, @@ -23,7 +18,6 @@ RealtimeAudioInterrupted, RealtimeError, RealtimeEventInfo, - RealtimeHandoffEvent, # noqa: F401 RealtimeHistoryAdded, RealtimeHistoryUpdated, RealtimeRawTransportEvent, @@ -32,244 +26,178 @@ RealtimeToolStart, ) from .items import InputAudio, InputText, RealtimeItem -from .openai_realtime import OpenAIRealtimeWebSocketTransport -from .transport import ( - RealtimeModelName, - RealtimeSessionTransport, - RealtimeTransportConnectionOptions, - RealtimeTransportListener, -) -from .transport_events import ( - RealtimeTransportEvent, - RealtimeTransportInputAudioTranscriptionCompletedEvent, - RealtimeTransportToolCallEvent, +from .model import RealtimeModel, RealtimeModelConfig, RealtimeModelListener +from .model_events import ( + RealtimeModelEvent, + RealtimeModelInputAudioTranscriptionCompletedEvent, + RealtimeModelToolCallEvent, ) -class RealtimeSessionListener(abc.ABC): - """A listener for realtime session events.""" - - @abc.abstractmethod - async def on_event(self, event: RealtimeSessionEvent) -> None: - """Called when an event is emitted by the realtime session.""" - pass - - -RealtimeSessionListenerFunc: TypeAlias = Callable[[RealtimeSessionEvent], Awaitable[None]] -"""A function that can be used as a listener for realtime session events.""" - - -class _RealtimeFuncListener(RealtimeSessionListener): - """A listener that wraps a function.""" - - def __init__(self, func: RealtimeSessionListenerFunc) -> None: - self._func = func - - async def on_event(self, event: RealtimeSessionEvent) -> None: - """Call the wrapped function with the event.""" - await self._func(event) - - -class RealtimeSession(RealtimeTransportListener): - """A `RealtimeSession` is the equivalent of `Runner` for realtime agents. It automatically - handles multiple turns by maintaining a persistent connection with the underlying transport - layer. - - The session manages the local history copy, executes tools, runs guardrails and facilitates - handoffs between agents. - - Since this code runs on your server, it uses WebSockets by default. You can optionally create - your own custom transport layer by implementing the `RealtimeSessionTransport` interface. +class RealtimeSession(RealtimeModelListener): + """A connection to a realtime model. It streams events from the model to you, and allows you to + send messages and audio to the model. + + Example: + ```python + runner = RealtimeRunner(agent) + async with await runner.run() as session: + # Send messages + await session.send_message("Hello") + await session.send_audio(audio_bytes) + + # Stream events + async for event in session: + if event.type == "audio": + # Handle audio event + pass + ``` """ def __init__( self, - starting_agent: RealtimeAgent, - *, - context: Any | None = None, - transport: Literal["websocket"] | RealtimeSessionTransport = "websocket", - api_key: APIKeyOrKeyFunc | None = None, - model: RealtimeModelName | None = None, - config: RealtimeSessionConfig | None = None, - # TODO (rm) Add guardrail support - # TODO (rm) Add tracing support - # TODO (rm) Add history audio storage config + model: RealtimeModel, + agent: RealtimeAgent, + context: TContext | None, + model_config: RealtimeModelConfig | None = None, ) -> None: - """Initialize the realtime session. + """Initialize the session. Args: - starting_agent: The agent to start the session with. - context: The context to use for the session. - transport: The transport to use for the session. Defaults to using websockets. - api_key: The API key to use for the session. - model: The model to use. Must be a realtime model. - config: Override parameters to use. + model: The model to use. + agent: The current agent. + context_wrapper: The context wrapper. + event_info: Event info object. + history: The conversation history. + model_config: Model configuration. """ - self._current_agent = starting_agent + self._model = model + self._current_agent = agent self._context_wrapper = RunContextWrapper(context) self._event_info = RealtimeEventInfo(context=self._context_wrapper) - self._override_config = config self._history: list[RealtimeItem] = [] - self._model = model - self._api_key = api_key - - self._listeners: list[RealtimeSessionListener] = [] - - if transport == "websocket": - self._transport: RealtimeSessionTransport = OpenAIRealtimeWebSocketTransport() - else: - self._transport = transport - - async def __aenter__(self) -> RealtimeSession: - """Async context manager entry.""" - await self.connect() - return self - - async def __aexit__(self, _exc_type: Any, _exc_val: Any, _exc_tb: Any) -> None: - """Async context manager exit.""" - await self.end() - - async def connect(self) -> None: - """Start the session: connect to the model and start the connection.""" - self._transport.add_listener(self) - - config = await self.create_session_config( - overrides=self._override_config, - ) - - options: RealtimeTransportConnectionOptions = { - "initial_session_config": config, - } - - if config.get("api_key") is not None: - options["api_key"] = config["api_key"] - elif self._api_key is not None: - options["api_key"] = self._api_key - - if config.get("model") is not None: - options["model"] = config["model"] - elif self._model is not None: - options["model"] = self._model + self._model_config = model_config or {} + self._event_queue: asyncio.Queue[RealtimeSessionEvent] = asyncio.Queue() + self._closed = False + self._background_task: asyncio.Task[None] | None = None + + async def __aenter__(self) -> "RealtimeSession": + """Start the session by connecting to the model. After this, you will be able to stream + events from the model and send messages and audio to the model. + """ + # Add ourselves as a listener + self._model.add_listener(self) - await self._transport.connect(options) + # Connect to the transport + await self._model.connect(self._model_config) - await self._emit_event( + # Emit initial history update + await self._put_event( RealtimeHistoryUpdated( history=self._history, info=self._event_info, ) ) - async def end(self) -> None: - """End the session: disconnect from the model and close the connection.""" - pass - - def add_listener(self, listener: RealtimeSessionListener | RealtimeSessionListenerFunc) -> None: - """Add a listener to the session.""" - if isinstance(listener, RealtimeSessionListener): - self._listeners.append(listener) - else: - self._listeners.append(_RealtimeFuncListener(listener)) - - def remove_listener( - self, listener: RealtimeSessionListener | RealtimeSessionListenerFunc - ) -> None: - """Remove a listener from the session.""" - if isinstance(listener, RealtimeSessionListener): - self._listeners.remove(listener) - else: - for x in self._listeners: - if isinstance(x, _RealtimeFuncListener) and x._func == listener: - self._listeners.remove(x) - break - - async def create_session_config( - self, overrides: RealtimeSessionConfig | None = None - ) -> RealtimeSessionConfig: - """Create the session config.""" - agent = self._current_agent - instructions, tools = await asyncio.gather( - agent.get_system_prompt(self._context_wrapper), - agent.get_all_tools(self._context_wrapper), - ) - config = RealtimeSessionConfig() - - if self._model is not None: - config["model"] = self._model - if instructions is not None: - config["instructions"] = instructions - if tools is not None: - config["tools"] = [tool for tool in tools if isinstance(tool, FunctionTool)] + return self - if overrides: - config.update(overrides) + async def enter(self) -> "RealtimeSession": + """Enter the async context manager. We strongly recommend using the async context manager + pattern instead of this method. If you use this, you need to manually call `close()` when you + are done. + """ + return await self.__aenter__() - return config + async def __aexit__(self, _exc_type: Any, _exc_val: Any, _exc_tb: Any) -> None: + """End the session.""" + await self.close() + + async def __aiter__(self) -> AsyncIterator[RealtimeSessionEvent]: + """Iterate over events from the session.""" + while not self._closed: + try: + event = await self._event_queue.get() + yield event + except asyncio.CancelledError: + break + + async def close(self) -> None: + """Close the session.""" + self._closed = True + self._model.remove_listener(self) + await self._model.close() + + # Cancel any background tasks + if self._background_task and not self._background_task.done(): + self._background_task.cancel() + try: + await self._background_task + except asyncio.CancelledError: + pass async def send_message(self, message: RealtimeUserInput) -> None: """Send a message to the model.""" - await self._transport.send_message(message) + await self._model.send_message(message) async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: """Send a raw audio chunk to the model.""" - await self._transport.send_audio(audio, commit=commit) + await self._model.send_audio(audio, commit=commit) async def interrupt(self) -> None: """Interrupt the model.""" - await self._transport.interrupt() + await self._model.interrupt() - async def on_event(self, event: RealtimeTransportEvent) -> None: - """Called when an event is emitted by the realtime transport.""" - await self._emit_event(RealtimeRawTransportEvent(data=event, info=self._event_info)) + async def on_event(self, event: RealtimeModelEvent) -> None: + await self._put_event(RealtimeRawTransportEvent(data=event, info=self._event_info)) if event.type == "error": - await self._emit_event(RealtimeError(info=self._event_info, error=event.error)) + await self._put_event(RealtimeError(info=self._event_info, error=event.error)) elif event.type == "function_call": - await self._handle_tool_call(event) + # Handle tool calls in the background to avoid blocking event stream + self._background_task = asyncio.create_task(self._handle_tool_call(event)) elif event.type == "audio": - await self._emit_event(RealtimeAudio(info=self._event_info, audio=event)) + await self._put_event(RealtimeAudio(info=self._event_info, audio=event)) elif event.type == "audio_interrupted": - await self._emit_event(RealtimeAudioInterrupted(info=self._event_info)) + await self._put_event(RealtimeAudioInterrupted(info=self._event_info)) elif event.type == "audio_done": - await self._emit_event(RealtimeAudioEnd(info=self._event_info)) + await self._put_event(RealtimeAudioEnd(info=self._event_info)) elif event.type == "conversation.item.input_audio_transcription.completed": self._history = self._get_new_history(self._history, event) - await self._emit_event( + await self._put_event( RealtimeHistoryUpdated(info=self._event_info, history=self._history) ) elif event.type == "transcript_delta": # TODO (rm) Add guardrails pass elif event.type == "item_updated": - is_new = any(item.item_id == event.item.item_id for item in self._history) + is_new = not any(item.item_id == event.item.item_id for item in self._history) self._history = self._get_new_history(self._history, event.item) if is_new: new_item = next( item for item in self._history if item.item_id == event.item.item_id ) - await self._emit_event(RealtimeHistoryAdded(info=self._event_info, item=new_item)) + await self._put_event(RealtimeHistoryAdded(info=self._event_info, item=new_item)) else: - await self._emit_event( + await self._put_event( RealtimeHistoryUpdated(info=self._event_info, history=self._history) ) - pass elif event.type == "item_deleted": deleted_id = event.item_id self._history = [item for item in self._history if item.item_id != deleted_id] - await self._emit_event( + await self._put_event( RealtimeHistoryUpdated(info=self._event_info, history=self._history) ) elif event.type == "connection_status": pass elif event.type == "turn_started": - await self._emit_event( + await self._put_event( RealtimeAgentStartEvent( agent=self._current_agent, info=self._event_info, ) ) elif event.type == "turn_ended": - await self._emit_event( + await self._put_event( RealtimeAgentEndEvent( agent=self._current_agent, info=self._event_info, @@ -280,17 +208,18 @@ async def on_event(self, event: RealtimeTransportEvent) -> None: else: assert_never(event) - async def _emit_event(self, event: RealtimeSessionEvent) -> None: - """Emit an event to the listeners.""" - await asyncio.gather(*[listener.on_event(event) for listener in self._listeners]) + async def _put_event(self, event: RealtimeSessionEvent) -> None: + """Put an event into the queue.""" + await self._event_queue.put(event) - async def _handle_tool_call(self, event: RealtimeTransportToolCallEvent) -> None: + async def _handle_tool_call(self, event: RealtimeModelToolCallEvent) -> None: + """Handle a tool call event.""" all_tools = await self._current_agent.get_all_tools(self._context_wrapper) function_map = {tool.name: tool for tool in all_tools if isinstance(tool, FunctionTool)} handoff_map = {tool.name: tool for tool in all_tools if isinstance(tool, Handoff)} if event.name in function_map: - await self._emit_event( + await self._put_event( RealtimeToolStart( info=self._event_info, tool=function_map[event.name], @@ -302,9 +231,9 @@ async def _handle_tool_call(self, event: RealtimeTransportToolCallEvent) -> None tool_context = ToolContext.from_agent_context(self._context_wrapper, event.call_id) result = await func_tool.on_invoke_tool(tool_context, event.arguments) - await self._transport.send_tool_output(event, str(result), True) + await self._model.send_tool_output(event, str(result), True) - await self._emit_event( + await self._put_event( RealtimeToolEnd( info=self._event_info, tool=func_tool, @@ -322,10 +251,10 @@ async def _handle_tool_call(self, event: RealtimeTransportToolCallEvent) -> None def _get_new_history( self, old_history: list[RealtimeItem], - event: RealtimeTransportInputAudioTranscriptionCompletedEvent | RealtimeItem, + event: RealtimeModelInputAudioTranscriptionCompletedEvent | RealtimeItem, ) -> list[RealtimeItem]: # Merge transcript into placeholder input_audio message. - if isinstance(event, RealtimeTransportInputAudioTranscriptionCompletedEvent): + if isinstance(event, RealtimeModelInputAudioTranscriptionCompletedEvent): new_history: list[RealtimeItem] = [] for item in old_history: if item.item_id == event.item_id and item.type == "message" and item.role == "user": @@ -355,7 +284,7 @@ def _get_new_history( new_history[existing_index] = event return new_history # Otherwise, insert it after the previous_item_id if that is set - elif item.previous_item_id: + elif event.previous_item_id: # Insert the new item after the previous item previous_index = next( (i for i, item in enumerate(old_history) if item.item_id == event.previous_item_id), diff --git a/src/agents/realtime/transport.py b/src/agents/realtime/transport.py deleted file mode 100644 index 18290d128..000000000 --- a/src/agents/realtime/transport.py +++ /dev/null @@ -1,107 +0,0 @@ -import abc -from typing import Any, Literal, Union - -from typing_extensions import NotRequired, TypeAlias, TypedDict - -from .config import APIKeyOrKeyFunc, RealtimeClientMessage, RealtimeSessionConfig, RealtimeUserInput -from .transport_events import RealtimeTransportEvent, RealtimeTransportToolCallEvent - -RealtimeModelName: TypeAlias = Union[ - Literal[ - "gpt-4o-realtime-preview", - "gpt-4o-mini-realtime-preview", - "gpt-4o-realtime-preview-2025-06-03", - "gpt-4o-realtime-preview-2024-12-17", - "gpt-4o-realtime-preview-2024-10-01", - "gpt-4o-mini-realtime-preview-2024-12-17", - ], - str, -] -"""The name of a realtime model.""" - - -class RealtimeTransportListener(abc.ABC): - """A listener for realtime transport events.""" - - @abc.abstractmethod - async def on_event(self, event: RealtimeTransportEvent) -> None: - """Called when an event is emitted by the realtime transport.""" - pass - - -class RealtimeTransportConnectionOptions(TypedDict): - """Options for connecting to a realtime transport.""" - - api_key: NotRequired[APIKeyOrKeyFunc] - """The API key to use for the transport. If unset, the transport will attempt to use the - `OPENAI_API_KEY` environment variable. - """ - - model: NotRequired[str] - """The model to use.""" - - url: NotRequired[str] - """The URL to use for the transport. If unset, the transport will use the default OpenAI - WebSocket URL. - """ - - initial_session_config: NotRequired[RealtimeSessionConfig] - - -class RealtimeSessionTransport(abc.ABC): - """A transport layer for realtime sessions.""" - - @abc.abstractmethod - async def connect(self, options: RealtimeTransportConnectionOptions) -> None: - """Establish a connection to the model and keep it alive.""" - pass - - @abc.abstractmethod - def add_listener(self, listener: RealtimeTransportListener) -> None: - """Add a listener to the transport.""" - pass - - @abc.abstractmethod - async def remove_listener(self, listener: RealtimeTransportListener) -> None: - """Remove a listener from the transport.""" - pass - - @abc.abstractmethod - async def send_event(self, event: RealtimeClientMessage) -> None: - """Send an event to the model.""" - pass - - @abc.abstractmethod - async def send_message( - self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None - ) -> None: - """Send a message to the model.""" - pass - - @abc.abstractmethod - async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: - """Send a raw audio chunk to the model. - - Args: - audio: The audio data to send. - commit: Whether to commit the audio buffer to the model. If the model does not do turn - detection, this can be used to indicate the turn is completed. - """ - pass - - @abc.abstractmethod - async def send_tool_output( - self, tool_call: RealtimeTransportToolCallEvent, output: str, start_response: bool - ) -> None: - """Send tool output to the model.""" - pass - - @abc.abstractmethod - async def interrupt(self) -> None: - """Interrupt the model. For example, could be triggered by a guardrail.""" - pass - - @abc.abstractmethod - async def close(self) -> None: - """Close the session.""" - pass diff --git a/tests/realtime/test_transport_events.py b/tests/realtime/test_model_events.py similarity index 68% rename from tests/realtime/test_transport_events.py rename to tests/realtime/test_model_events.py index 2219303d0..b8696cc29 100644 --- a/tests/realtime/test_transport_events.py +++ b/tests/realtime/test_model_events.py @@ -1,11 +1,11 @@ from typing import get_args -from agents.realtime.transport_events import RealtimeTransportEvent +from agents.realtime.model_events import RealtimeModelEvent def test_all_events_have_type() -> None: """Test that all events have a type.""" - events = get_args(RealtimeTransportEvent) + events = get_args(RealtimeModelEvent) assert len(events) > 0 for event in events: assert event.type is not None From 0590c7296e811a3cbf343e665e4e7f899186c374 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 15:14:52 -0400 Subject: [PATCH 191/337] [8/n] Make realtime more like the rest of agents sdk Key changes: 1. Transport -> model. 2. Extract any model settings into `RealtimeSessionModelSettings`. 3. RealtimeRunConfig, similar to the RunConfig in `run.py`. Next PR I'll update session to be better. --- .vscode/launch.json | 14 + examples/realtime/demo.py | 25 +- src/agents/realtime/__init__.py | 44 ++- src/agents/realtime/config.py | 51 +-- src/agents/realtime/events.py | 6 +- src/agents/realtime/model.py | 97 ++++++ .../{transport_events.py => model_events.py} | 54 +-- src/agents/realtime/openai_realtime.py | 117 ++++--- src/agents/realtime/runner.py | 112 +++++++ src/agents/realtime/session.py | 307 +++++++----------- src/agents/realtime/transport.py | 107 ------ ...ansport_events.py => test_model_events.py} | 4 +- 12 files changed, 519 insertions(+), 419 deletions(-) create mode 100644 .vscode/launch.json create mode 100644 src/agents/realtime/model.py rename src/agents/realtime/{transport_events.py => model_events.py} (66%) create mode 100644 src/agents/realtime/runner.py delete mode 100644 src/agents/realtime/transport.py rename tests/realtime/{test_transport_events.py => test_model_events.py} (68%) diff --git a/.vscode/launch.json b/.vscode/launch.json new file mode 100644 index 000000000..a75c1414f --- /dev/null +++ b/.vscode/launch.json @@ -0,0 +1,14 @@ +{ + // Use IntelliSense to learn about possible attributes. + // Hover to view descriptions of existing attributes. + // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387 + "version": "0.2.0", + "configurations": [ + { + "name": "Python Debugger: Python File", + "type": "debugpy", + "request": "launch", + "program": "${file}" + } + ] +} \ No newline at end of file diff --git a/examples/realtime/demo.py b/examples/realtime/demo.py index a2ea96545..ca5e57987 100644 --- a/examples/realtime/demo.py +++ b/examples/realtime/demo.py @@ -5,11 +5,13 @@ import numpy as np +from agents.realtime import RealtimeSession + # Add the current directory to path so we can import ui sys.path.append(os.path.dirname(os.path.abspath(__file__))) from agents import function_tool -from agents.realtime import RealtimeAgent, RealtimeSession, RealtimeSessionEvent +from agents.realtime import RealtimeAgent, RealtimeRunner, RealtimeSessionEvent if TYPE_CHECKING: from .ui import AppUI @@ -38,23 +40,34 @@ def get_weather(city: str) -> str: class Example: def __init__(self) -> None: - self.session = RealtimeSession(agent) self.ui = AppUI() self.ui.connected = asyncio.Event() self.ui.last_audio_item_id = None # Set the audio callback self.ui.set_audio_callback(self.on_audio_recorded) + self.session: RealtimeSession | None = None + async def run(self) -> None: - self.session.add_listener(self.on_event) - await self.session.connect() - self.ui.set_is_connected(True) - await self.ui.run_async() + # Start UI in a separate task instead of waiting for it to complete + ui_task = asyncio.create_task(self.ui.run_async()) + + # Set up session immediately without waiting for UI to finish + runner = RealtimeRunner(agent) + async with await runner.run() as session: + self.session = session + self.ui.set_is_connected(True) + async for event in session: + await self.on_event(event) + + # Wait for UI task to complete when session ends + await ui_task async def on_audio_recorded(self, audio_bytes: bytes) -> None: """Called when audio is recorded by the UI.""" try: # Send the audio to the session + assert self.session is not None await self.session.send_audio(audio_bytes) except Exception as e: self.ui.log_message(f"Error sending audio: {e}") diff --git a/src/agents/realtime/__init__.py b/src/agents/realtime/__init__.py index 7e5d4932a..4fc4a384a 100644 --- a/src/agents/realtime/__init__.py +++ b/src/agents/realtime/__init__.py @@ -1,5 +1,16 @@ from .agent import RealtimeAgent, RealtimeAgentHooks, RealtimeRunHooks -from .config import APIKeyOrKeyFunc +from .config import ( + RealtimeAudioFormat, + RealtimeClientMessage, + RealtimeInputAudioTranscriptionConfig, + RealtimeModelName, + RealtimeRunConfig, + RealtimeSessionModelSettings, + RealtimeTurnDetectionConfig, + RealtimeUserInput, + RealtimeUserInputMessage, + RealtimeUserInputText, +) from .events import ( RealtimeAgentEndEvent, RealtimeAgentStartEvent, @@ -15,26 +26,34 @@ RealtimeToolEnd, RealtimeToolStart, ) -from .session import RealtimeSession -from .transport import ( - RealtimeModelName, - RealtimeSessionTransport, - RealtimeTransportConnectionOptions, - RealtimeTransportListener, +from .model import ( + RealtimeModel, + RealtimeModelConfig, + RealtimeModelListener, ) +from .runner import RealtimeRunner +from .session import RealtimeSession __all__ = [ "RealtimeAgent", "RealtimeAgentHooks", "RealtimeRunHooks", - "RealtimeSession", + "RealtimeRunner", "RealtimeSessionListener", "RealtimeSessionListenerFunc", - "APIKeyOrKeyFunc", + "RealtimeRunConfig", + "RealtimeSessionModelSettings", + "RealtimeInputAudioTranscriptionConfig", + "RealtimeTurnDetectionConfig", + "RealtimeAudioFormat", + "RealtimeClientMessage", + "RealtimeUserInput", + "RealtimeUserInputMessage", + "RealtimeUserInputText", "RealtimeModelName", - "RealtimeSessionTransport", - "RealtimeTransportListener", - "RealtimeTransportConnectionOptions", + "RealtimeModel", + "RealtimeModelListener", + "RealtimeModelConfig", "RealtimeSessionEvent", "RealtimeAgentStartEvent", "RealtimeAgentEndEvent", @@ -48,4 +67,5 @@ "RealtimeError", "RealtimeHistoryUpdated", "RealtimeHistoryAdded", + "RealtimeSession", ] diff --git a/src/agents/realtime/config.py b/src/agents/realtime/config.py index aa15c837d..459a03a9a 100644 --- a/src/agents/realtime/config.py +++ b/src/agents/realtime/config.py @@ -1,9 +1,7 @@ from __future__ import annotations -import inspect from typing import ( Any, - Callable, Literal, Union, ) @@ -11,8 +9,20 @@ from typing_extensions import NotRequired, TypeAlias, TypedDict from ..model_settings import ToolChoice -from ..tool import FunctionTool -from ..util._types import MaybeAwaitable +from ..tool import Tool + +RealtimeModelName: TypeAlias = Union[ + Literal[ + "gpt-4o-realtime-preview", + "gpt-4o-mini-realtime-preview", + "gpt-4o-realtime-preview-2025-06-03", + "gpt-4o-realtime-preview-2024-12-17", + "gpt-4o-realtime-preview-2024-10-01", + "gpt-4o-mini-realtime-preview-2024-12-17", + ], + str, +] +"""The name of a realtime model.""" class RealtimeClientMessage(TypedDict): @@ -20,7 +30,7 @@ class RealtimeClientMessage(TypedDict): other_data: NotRequired[dict[str, Any]] -class UserInputText(TypedDict): +class RealtimeUserInputText(TypedDict): type: Literal["input_text"] text: str @@ -28,7 +38,7 @@ class UserInputText(TypedDict): class RealtimeUserInputMessage(TypedDict): type: Literal["message"] role: Literal["user"] - content: list[UserInputText] + content: list[RealtimeUserInputText] RealtimeUserInput: TypeAlias = Union[str, RealtimeUserInputMessage] @@ -55,9 +65,11 @@ class RealtimeTurnDetectionConfig(TypedDict): threshold: NotRequired[float] -class RealtimeSessionConfig(TypedDict): - api_key: NotRequired[APIKeyOrKeyFunc] - model: NotRequired[str] +class RealtimeSessionModelSettings(TypedDict): + """Model settings for a realtime model session.""" + + model_name: NotRequired[RealtimeModelName] + instructions: NotRequired[str] modalities: NotRequired[list[Literal["text", "audio"]]] voice: NotRequired[str] @@ -68,24 +80,13 @@ class RealtimeSessionConfig(TypedDict): turn_detection: NotRequired[RealtimeTurnDetectionConfig] tool_choice: NotRequired[ToolChoice] - tools: NotRequired[list[FunctionTool]] - - -APIKeyOrKeyFunc = str | Callable[[], MaybeAwaitable[str]] -"""Either an API key or a function that returns an API key.""" - + tools: NotRequired[list[Tool]] -async def get_api_key(key: APIKeyOrKeyFunc | None) -> str | None: - """Get the API key from the key or key function.""" - if key is None: - return None - elif isinstance(key, str): - return key - result = key() - if inspect.isawaitable(result): - return await result - return result +class RealtimeRunConfig(TypedDict): + model_settings: NotRequired[RealtimeSessionModelSettings] # TODO (rm) Add tracing support # tracing: NotRequired[RealtimeTracingConfig | None] + # TODO (rm) Add guardrail support + # TODO (rm) Add history audio storage config diff --git a/src/agents/realtime/events.py b/src/agents/realtime/events.py index bd6b7b5b0..c96357e1a 100644 --- a/src/agents/realtime/events.py +++ b/src/agents/realtime/events.py @@ -7,7 +7,7 @@ from ..tool import Tool from .agent import RealtimeAgent from .items import RealtimeItem -from .transport_events import RealtimeTransportAudioEvent, RealtimeTransportEvent +from .model_events import RealtimeModelAudioEvent, RealtimeModelEvent @dataclass @@ -96,7 +96,7 @@ class RealtimeToolEnd: class RealtimeRawTransportEvent: """Forwards raw events from the transport layer.""" - data: RealtimeTransportEvent + data: RealtimeModelEvent """The raw data from the transport layer.""" info: RealtimeEventInfo @@ -119,7 +119,7 @@ class RealtimeAudioEnd: class RealtimeAudio: """Triggered when the agent generates new audio to be played.""" - audio: RealtimeTransportAudioEvent + audio: RealtimeModelAudioEvent """The audio event from the transport layer.""" info: RealtimeEventInfo diff --git a/src/agents/realtime/model.py b/src/agents/realtime/model.py new file mode 100644 index 000000000..704751917 --- /dev/null +++ b/src/agents/realtime/model.py @@ -0,0 +1,97 @@ +import abc +from typing import Any, Callable + +from typing_extensions import NotRequired, TypedDict + +from ..util._types import MaybeAwaitable +from .config import ( + RealtimeClientMessage, + RealtimeSessionModelSettings, + RealtimeUserInput, +) +from .model_events import RealtimeModelEvent, RealtimeModelToolCallEvent + + +class RealtimeModelListener(abc.ABC): + """A listener for realtime transport events.""" + + @abc.abstractmethod + async def on_event(self, event: RealtimeModelEvent) -> None: + """Called when an event is emitted by the realtime transport.""" + pass + + +class RealtimeModelConfig(TypedDict): + """Options for connecting to a realtime model.""" + + api_key: NotRequired[str | Callable[[], MaybeAwaitable[str]]] + """The API key (or function that returns a key) to use when connecting. If unset, the model will + try to use a sane default. For example, the OpenAI Realtime model will try to use the + `OPENAI_API_KEY` environment variable. + """ + + url: NotRequired[str] + """The URL to use when connecting. If unset, the model will use a sane default. For example, + the OpenAI Realtime model will use the default OpenAI WebSocket URL. + """ + + initial_model_settings: NotRequired[RealtimeSessionModelSettings] + + +class RealtimeModel(abc.ABC): + """Interface for connecting to a realtime model and sending/receiving events.""" + + @abc.abstractmethod + async def connect(self, options: RealtimeModelConfig) -> None: + """Establish a connection to the model and keep it alive.""" + pass + + @abc.abstractmethod + def add_listener(self, listener: RealtimeModelListener) -> None: + """Add a listener to the model.""" + pass + + @abc.abstractmethod + def remove_listener(self, listener: RealtimeModelListener) -> None: + """Remove a listener from the model.""" + pass + + @abc.abstractmethod + async def send_event(self, event: RealtimeClientMessage) -> None: + """Send an event to the model.""" + pass + + @abc.abstractmethod + async def send_message( + self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None + ) -> None: + """Send a message to the model.""" + pass + + @abc.abstractmethod + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Send a raw audio chunk to the model. + + Args: + audio: The audio data to send. + commit: Whether to commit the audio buffer to the model. If the model does not do turn + detection, this can be used to indicate the turn is completed. + """ + pass + + @abc.abstractmethod + async def send_tool_output( + self, tool_call: RealtimeModelToolCallEvent, output: str, start_response: bool + ) -> None: + """Send tool output to the model.""" + pass + + @abc.abstractmethod + async def interrupt(self) -> None: + """Interrupt the model. For example, could be triggered by a guardrail.""" + pass + + @abc.abstractmethod + async def close(self) -> None: + """Close the session.""" + pass diff --git a/src/agents/realtime/transport_events.py b/src/agents/realtime/model_events.py similarity index 66% rename from src/agents/realtime/transport_events.py rename to src/agents/realtime/model_events.py index 735577b17..a9769cebd 100644 --- a/src/agents/realtime/transport_events.py +++ b/src/agents/realtime/model_events.py @@ -11,7 +11,7 @@ @dataclass -class RealtimeTransportErrorEvent: +class RealtimeModelErrorEvent: """Represents a transport‑layer error.""" error: Any @@ -20,7 +20,7 @@ class RealtimeTransportErrorEvent: @dataclass -class RealtimeTransportToolCallEvent: +class RealtimeModelToolCallEvent: """Model attempted a tool/function call.""" name: str @@ -34,7 +34,7 @@ class RealtimeTransportToolCallEvent: @dataclass -class RealtimeTransportAudioEvent: +class RealtimeModelAudioEvent: """Raw audio bytes emitted by the model.""" data: bytes @@ -44,21 +44,21 @@ class RealtimeTransportAudioEvent: @dataclass -class RealtimeTransportAudioInterruptedEvent: +class RealtimeModelAudioInterruptedEvent: """Audio interrupted.""" type: Literal["audio_interrupted"] = "audio_interrupted" @dataclass -class RealtimeTransportAudioDoneEvent: +class RealtimeModelAudioDoneEvent: """Audio done.""" type: Literal["audio_done"] = "audio_done" @dataclass -class RealtimeTransportInputAudioTranscriptionCompletedEvent: +class RealtimeModelInputAudioTranscriptionCompletedEvent: """Input audio transcription completed.""" item_id: str @@ -70,7 +70,7 @@ class RealtimeTransportInputAudioTranscriptionCompletedEvent: @dataclass -class RealtimeTransportTranscriptDelta: +class RealtimeModelTranscriptDeltaEvent: """Partial transcript update.""" item_id: str @@ -81,7 +81,7 @@ class RealtimeTransportTranscriptDelta: @dataclass -class RealtimeTransportItemUpdatedEvent: +class RealtimeModelItemUpdatedEvent: """Item added to the history or updated.""" item: RealtimeItem @@ -90,7 +90,7 @@ class RealtimeTransportItemUpdatedEvent: @dataclass -class RealtimeTransportItemDeletedEvent: +class RealtimeModelItemDeletedEvent: """Item deleted from the history.""" item_id: str @@ -99,7 +99,7 @@ class RealtimeTransportItemDeletedEvent: @dataclass -class RealtimeTransportConnectionStatusEvent: +class RealtimeModelConnectionStatusEvent: """Connection status changed.""" status: RealtimeConnectionStatus @@ -108,21 +108,21 @@ class RealtimeTransportConnectionStatusEvent: @dataclass -class RealtimeTransportTurnStartedEvent: +class RealtimeModelTurnStartedEvent: """Triggered when the model starts generating a response for a turn.""" type: Literal["turn_started"] = "turn_started" @dataclass -class RealtimeTransportTurnEndedEvent: +class RealtimeModelTurnEndedEvent: """Triggered when the model finishes generating a response for a turn.""" type: Literal["turn_ended"] = "turn_ended" @dataclass -class RealtimeTransportOtherEvent: +class RealtimeModelOtherEvent: """Used as a catchall for vendor-specific events.""" data: Any @@ -133,18 +133,18 @@ class RealtimeTransportOtherEvent: # TODO (rm) Add usage events -RealtimeTransportEvent: TypeAlias = Union[ - RealtimeTransportErrorEvent, - RealtimeTransportToolCallEvent, - RealtimeTransportAudioEvent, - RealtimeTransportAudioInterruptedEvent, - RealtimeTransportAudioDoneEvent, - RealtimeTransportInputAudioTranscriptionCompletedEvent, - RealtimeTransportTranscriptDelta, - RealtimeTransportItemUpdatedEvent, - RealtimeTransportItemDeletedEvent, - RealtimeTransportConnectionStatusEvent, - RealtimeTransportTurnStartedEvent, - RealtimeTransportTurnEndedEvent, - RealtimeTransportOtherEvent, +RealtimeModelEvent: TypeAlias = Union[ + RealtimeModelErrorEvent, + RealtimeModelToolCallEvent, + RealtimeModelAudioEvent, + RealtimeModelAudioInterruptedEvent, + RealtimeModelAudioDoneEvent, + RealtimeModelInputAudioTranscriptionCompletedEvent, + RealtimeModelTranscriptDeltaEvent, + RealtimeModelItemUpdatedEvent, + RealtimeModelItemDeletedEvent, + RealtimeModelConnectionStatusEvent, + RealtimeModelTurnStartedEvent, + RealtimeModelTurnEndedEvent, + RealtimeModelOtherEvent, ] diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 6dc34bcf1..b3f6eb2e0 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -1,9 +1,12 @@ +from __future__ import annotations + import asyncio import base64 +import inspect import json import os from datetime import datetime -from typing import Any +from typing import Any, Callable import websockets from openai.types.beta.realtime.realtime_server_event import ( @@ -12,52 +15,72 @@ from pydantic import TypeAdapter from websockets.asyncio.client import ClientConnection +from agents.util._types import MaybeAwaitable + from ..exceptions import UserError from ..logger import logger -from .config import RealtimeClientMessage, RealtimeUserInput, get_api_key +from .config import ( + RealtimeClientMessage, + RealtimeSessionModelSettings, + RealtimeUserInput, +) from .items import RealtimeMessageItem, RealtimeToolCallItem -from .transport import ( - RealtimeSessionTransport, - RealtimeTransportConnectionOptions, - RealtimeTransportListener, +from .model import ( + RealtimeModel, + RealtimeModelConfig, + RealtimeModelListener, ) -from .transport_events import ( - RealtimeTransportAudioDoneEvent, - RealtimeTransportAudioEvent, - RealtimeTransportAudioInterruptedEvent, - RealtimeTransportErrorEvent, - RealtimeTransportEvent, - RealtimeTransportInputAudioTranscriptionCompletedEvent, - RealtimeTransportItemDeletedEvent, - RealtimeTransportItemUpdatedEvent, - RealtimeTransportToolCallEvent, - RealtimeTransportTranscriptDelta, - RealtimeTransportTurnEndedEvent, - RealtimeTransportTurnStartedEvent, +from .model_events import ( + RealtimeModelAudioDoneEvent, + RealtimeModelAudioEvent, + RealtimeModelAudioInterruptedEvent, + RealtimeModelErrorEvent, + RealtimeModelEvent, + RealtimeModelInputAudioTranscriptionCompletedEvent, + RealtimeModelItemDeletedEvent, + RealtimeModelItemUpdatedEvent, + RealtimeModelToolCallEvent, + RealtimeModelTranscriptDeltaEvent, + RealtimeModelTurnEndedEvent, + RealtimeModelTurnStartedEvent, ) -class OpenAIRealtimeWebSocketTransport(RealtimeSessionTransport): - """A transport layer for realtime sessions that uses OpenAI's WebSocket API.""" +async def get_api_key(key: str | Callable[[], MaybeAwaitable[str]] | None) -> str | None: + if isinstance(key, str): + return key + elif callable(key): + result = key() + if inspect.isawaitable(result): + return await result + return result + + return os.getenv("OPENAI_API_KEY") + + +class OpenAIRealtimeWebSocketModel(RealtimeModel): + """A model that uses OpenAI's WebSocket API.""" def __init__(self) -> None: self.model = "gpt-4o-realtime-preview" # Default model self._websocket: ClientConnection | None = None self._websocket_task: asyncio.Task[None] | None = None - self._listeners: list[RealtimeTransportListener] = [] + self._listeners: list[RealtimeModelListener] = [] self._current_item_id: str | None = None self._audio_start_time: datetime | None = None self._audio_length_ms: float = 0.0 self._ongoing_response: bool = False self._current_audio_content_index: int | None = None - async def connect(self, options: RealtimeTransportConnectionOptions) -> None: + async def connect(self, options: RealtimeModelConfig) -> None: """Establish a connection to the model and keep it alive.""" assert self._websocket is None, "Already connected" assert self._websocket_task is None, "Already connected" - self.model = options.get("model", self.model) - api_key = await get_api_key(options.get("api_key", os.getenv("OPENAI_API_KEY"))) + model_settings: RealtimeSessionModelSettings = options.get("initial_model_settings", {}) + + self.model = model_settings.get("model_name", self.model) + api_key = await get_api_key(options.get("api_key")) if not api_key: raise UserError("API key is required but was not provided.") @@ -71,15 +94,15 @@ async def connect(self, options: RealtimeTransportConnectionOptions) -> None: self._websocket = await websockets.connect(url, additional_headers=headers) self._websocket_task = asyncio.create_task(self._listen_for_messages()) - def add_listener(self, listener: RealtimeTransportListener) -> None: - """Add a listener to the transport.""" + def add_listener(self, listener: RealtimeModelListener) -> None: + """Add a listener to the model.""" self._listeners.append(listener) - async def remove_listener(self, listener: RealtimeTransportListener) -> None: - """Remove a listener from the transport.""" + def remove_listener(self, listener: RealtimeModelListener) -> None: + """Remove a listener from the model.""" self._listeners.remove(listener) - async def _emit_event(self, event: RealtimeTransportEvent) -> None: + async def _emit_event(self, event: RealtimeModelEvent) -> None: """Emit an event to the listeners.""" for listener in self._listeners: await listener.on_event(event) @@ -154,7 +177,7 @@ async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: await self.send_event({"type": "input_audio_buffer.commit"}) async def send_tool_output( - self, tool_call: RealtimeTransportToolCallEvent, output: str, start_response: bool + self, tool_call: RealtimeModelToolCallEvent, output: str, start_response: bool ) -> None: """Send tool output to the model.""" await self.send_event( @@ -179,7 +202,7 @@ async def send_tool_output( name=tool_call.name, output=output, ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=tool_item)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=tool_item)) if start_response: await self.send_event({"type": "response.create"}) @@ -193,7 +216,7 @@ async def interrupt(self) -> None: elapsed_time_ms = (datetime.now() - self._audio_start_time).total_seconds() * 1000 if elapsed_time_ms > 0 and elapsed_time_ms < self._audio_length_ms: - await self._emit_event(RealtimeTransportAudioInterruptedEvent()) + await self._emit_event(RealtimeModelAudioInterruptedEvent()) await self.send_event( { "type": "conversation.item.truncate", @@ -231,9 +254,7 @@ async def _handle_ws_event(self, event: dict[str, Any]): ).validate_python(event) except Exception as e: logger.error(f"Invalid event: {event} - {e}") - await self._emit_event( - RealtimeTransportErrorEvent(error=f"Invalid event: {event} - {e}") - ) + # await self._emit_event(RealtimeModelErrorEvent(error=f"Invalid event: {event} - {e}")) return if parsed.type == "response.audio.delta": @@ -247,25 +268,25 @@ async def _handle_ws_event(self, event: dict[str, Any]): # Calculate audio length in ms using 24KHz pcm16le self._audio_length_ms += len(audio_bytes) / 24 / 2 await self._emit_event( - RealtimeTransportAudioEvent(data=audio_bytes, response_id=parsed.response_id) + RealtimeModelAudioEvent(data=audio_bytes, response_id=parsed.response_id) ) elif parsed.type == "response.audio.done": - await self._emit_event(RealtimeTransportAudioDoneEvent()) + await self._emit_event(RealtimeModelAudioDoneEvent()) elif parsed.type == "input_audio_buffer.speech_started": await self.interrupt() elif parsed.type == "response.created": self._ongoing_response = True - await self._emit_event(RealtimeTransportTurnStartedEvent()) + await self._emit_event(RealtimeModelTurnStartedEvent()) elif parsed.type == "response.done": self._ongoing_response = False - await self._emit_event(RealtimeTransportTurnEndedEvent()) + await self._emit_event(RealtimeModelTurnEndedEvent()) elif parsed.type == "session.created": # TODO (rm) tracing stuff here pass elif parsed.type == "error": - await self._emit_event(RealtimeTransportErrorEvent(error=parsed.error)) + await self._emit_event(RealtimeModelErrorEvent(error=parsed.error)) elif parsed.type == "conversation.item.deleted": - await self._emit_event(RealtimeTransportItemDeletedEvent(item_id=parsed.item_id)) + await self._emit_event(RealtimeModelItemDeletedEvent(item_id=parsed.item_id)) elif ( parsed.type == "conversation.item.created" or parsed.type == "conversation.item.retrieved" @@ -284,7 +305,7 @@ async def _handle_ws_event(self, event: dict[str, Any]): "status": "in_progress", } ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=message_item)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=message_item)) elif ( parsed.type == "conversation.item.input_audio_transcription.completed" or parsed.type == "conversation.item.truncated" @@ -299,13 +320,13 @@ async def _handle_ws_event(self, event: dict[str, Any]): ) if parsed.type == "conversation.item.input_audio_transcription.completed": await self._emit_event( - RealtimeTransportInputAudioTranscriptionCompletedEvent( + RealtimeModelInputAudioTranscriptionCompletedEvent( item_id=parsed.item_id, transcript=parsed.transcript ) ) elif parsed.type == "response.audio_transcript.delta": await self._emit_event( - RealtimeTransportTranscriptDelta( + RealtimeModelTranscriptDeltaEvent( item_id=parsed.item_id, delta=parsed.delta, response_id=parsed.response_id ) ) @@ -333,9 +354,9 @@ async def _handle_ws_event(self, event: dict[str, Any]): name=item.name or "", output=None, ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=tool_call)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=tool_call)) await self._emit_event( - RealtimeTransportToolCallEvent( + RealtimeModelToolCallEvent( call_id=item.id or "", name=item.name or "", arguments=item.arguments or "", @@ -352,4 +373,4 @@ async def _handle_ws_event(self, event: dict[str, Any]): "status": "in_progress", } ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=message_item)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=message_item)) diff --git a/src/agents/realtime/runner.py b/src/agents/realtime/runner.py new file mode 100644 index 000000000..563a0ca9e --- /dev/null +++ b/src/agents/realtime/runner.py @@ -0,0 +1,112 @@ +"""Minimal realtime session implementation for voice agents.""" + +from __future__ import annotations + +import asyncio + +from ..run_context import RunContextWrapper, TContext +from .agent import RealtimeAgent +from .config import ( + RealtimeRunConfig, + RealtimeSessionModelSettings, +) +from .model import ( + RealtimeModel, + RealtimeModelConfig, +) +from .openai_realtime import OpenAIRealtimeWebSocketModel +from .session import RealtimeSession + + +class RealtimeRunner: + """A `RealtimeRunner` is the equivalent of `Runner` for realtime agents. It automatically + handles multiple turns by maintaining a persistent connection with the underlying transport + layer. + + The session manages the local history copy, executes tools, runs guardrails and facilitates + handoffs between agents. + + Since this code runs on your server, it uses WebSockets by default. You can optionally create + your own custom transport layer by implementing the `RealtimeSessionTransport` interface. + """ + + def __init__( + self, + starting_agent: RealtimeAgent, + *, + model: RealtimeModel | None = None, + config: RealtimeRunConfig | None = None, + ) -> None: + """Initialize the realtime runner. + + Args: + starting_agent: The agent to start the session with. + context: The context to use for the session. + model: The model to use. If not provided, will use a default OpenAI realtime model. + config: Override parameters to use for the entire run. + """ + self._starting_agent = starting_agent + self._config = config + self._model = model or OpenAIRealtimeWebSocketModel() + + async def run( + self, *, context: TContext | None = None, model_config: RealtimeModelConfig | None = None + ) -> RealtimeSession: + """Start and returns a realtime session. + + Returns: + RealtimeSession: A session object that allows bidirectional communication with the + realtime model. + + Example: + ```python + runner = RealtimeRunner(agent) + async with await runner.run() as session: + await session.send_message("Hello") + async for event in session: + print(event) + ``` + """ + model_settings = await self._get_model_settings( + agent=self._starting_agent, + initial_settings=model_config.get("initial_model_settings") if model_config else None, + overrides=self._config.get("model_settings") if self._config else None, + ) + + model_config = model_config.copy() if model_config else {} + model_config["initial_model_settings"] = model_settings + + # Create and return the connection + session = RealtimeSession( + model=self._model, + agent=self._starting_agent, + context=context, + model_config=model_config, + ) + + return session + + async def _get_model_settings( + self, + agent: RealtimeAgent, + context: TContext | None = None, + initial_settings: RealtimeSessionModelSettings | None = None, + overrides: RealtimeSessionModelSettings | None = None, + ) -> RealtimeSessionModelSettings: + context_wrapper = RunContextWrapper(context) + model_settings = initial_settings.copy() if initial_settings else {} + + instructions, tools = await asyncio.gather( + agent.get_system_prompt(context_wrapper), + agent.get_all_tools(context_wrapper), + ) + + if instructions is not None: + model_settings["instructions"] = instructions + if tools is not None: + model_settings["tools"] = tools + + if overrides: + model_settings.update(overrides) + + return model_settings diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index fd2a0a3ff..038100382 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -1,20 +1,15 @@ -"""Minimal realtime session implementation for voice agents.""" - -from __future__ import annotations - -import abc import asyncio -from collections.abc import Awaitable -from typing import Any, Callable, Literal +from collections.abc import AsyncIterator +from typing import Any -from typing_extensions import TypeAlias, assert_never +from typing_extensions import assert_never from ..handoffs import Handoff -from ..run_context import RunContextWrapper +from ..run_context import RunContextWrapper, TContext from ..tool import FunctionTool from ..tool_context import ToolContext from .agent import RealtimeAgent -from .config import APIKeyOrKeyFunc, RealtimeSessionConfig, RealtimeUserInput +from .config import RealtimeUserInput from .events import ( RealtimeAgentEndEvent, RealtimeAgentStartEvent, @@ -23,7 +18,6 @@ RealtimeAudioInterrupted, RealtimeError, RealtimeEventInfo, - RealtimeHandoffEvent, # noqa: F401 RealtimeHistoryAdded, RealtimeHistoryUpdated, RealtimeRawTransportEvent, @@ -32,244 +26,178 @@ RealtimeToolStart, ) from .items import InputAudio, InputText, RealtimeItem -from .openai_realtime import OpenAIRealtimeWebSocketTransport -from .transport import ( - RealtimeModelName, - RealtimeSessionTransport, - RealtimeTransportConnectionOptions, - RealtimeTransportListener, -) -from .transport_events import ( - RealtimeTransportEvent, - RealtimeTransportInputAudioTranscriptionCompletedEvent, - RealtimeTransportToolCallEvent, +from .model import RealtimeModel, RealtimeModelConfig, RealtimeModelListener +from .model_events import ( + RealtimeModelEvent, + RealtimeModelInputAudioTranscriptionCompletedEvent, + RealtimeModelToolCallEvent, ) -class RealtimeSessionListener(abc.ABC): - """A listener for realtime session events.""" - - @abc.abstractmethod - async def on_event(self, event: RealtimeSessionEvent) -> None: - """Called when an event is emitted by the realtime session.""" - pass - - -RealtimeSessionListenerFunc: TypeAlias = Callable[[RealtimeSessionEvent], Awaitable[None]] -"""A function that can be used as a listener for realtime session events.""" - - -class _RealtimeFuncListener(RealtimeSessionListener): - """A listener that wraps a function.""" - - def __init__(self, func: RealtimeSessionListenerFunc) -> None: - self._func = func - - async def on_event(self, event: RealtimeSessionEvent) -> None: - """Call the wrapped function with the event.""" - await self._func(event) - - -class RealtimeSession(RealtimeTransportListener): - """A `RealtimeSession` is the equivalent of `Runner` for realtime agents. It automatically - handles multiple turns by maintaining a persistent connection with the underlying transport - layer. - - The session manages the local history copy, executes tools, runs guardrails and facilitates - handoffs between agents. - - Since this code runs on your server, it uses WebSockets by default. You can optionally create - your own custom transport layer by implementing the `RealtimeSessionTransport` interface. +class RealtimeSession(RealtimeModelListener): + """A connection to a realtime model. It streams events from the model to you, and allows you to + send messages and audio to the model. + + Example: + ```python + runner = RealtimeRunner(agent) + async with await runner.run() as session: + # Send messages + await session.send_message("Hello") + await session.send_audio(audio_bytes) + + # Stream events + async for event in session: + if event.type == "audio": + # Handle audio event + pass + ``` """ def __init__( self, - starting_agent: RealtimeAgent, - *, - context: Any | None = None, - transport: Literal["websocket"] | RealtimeSessionTransport = "websocket", - api_key: APIKeyOrKeyFunc | None = None, - model: RealtimeModelName | None = None, - config: RealtimeSessionConfig | None = None, - # TODO (rm) Add guardrail support - # TODO (rm) Add tracing support - # TODO (rm) Add history audio storage config + model: RealtimeModel, + agent: RealtimeAgent, + context: TContext | None, + model_config: RealtimeModelConfig | None = None, ) -> None: - """Initialize the realtime session. + """Initialize the session. Args: - starting_agent: The agent to start the session with. - context: The context to use for the session. - transport: The transport to use for the session. Defaults to using websockets. - api_key: The API key to use for the session. - model: The model to use. Must be a realtime model. - config: Override parameters to use. + model: The model to use. + agent: The current agent. + context_wrapper: The context wrapper. + event_info: Event info object. + history: The conversation history. + model_config: Model configuration. """ - self._current_agent = starting_agent + self._model = model + self._current_agent = agent self._context_wrapper = RunContextWrapper(context) self._event_info = RealtimeEventInfo(context=self._context_wrapper) - self._override_config = config self._history: list[RealtimeItem] = [] - self._model = model - self._api_key = api_key - - self._listeners: list[RealtimeSessionListener] = [] - - if transport == "websocket": - self._transport: RealtimeSessionTransport = OpenAIRealtimeWebSocketTransport() - else: - self._transport = transport - - async def __aenter__(self) -> RealtimeSession: - """Async context manager entry.""" - await self.connect() - return self - - async def __aexit__(self, _exc_type: Any, _exc_val: Any, _exc_tb: Any) -> None: - """Async context manager exit.""" - await self.end() - - async def connect(self) -> None: - """Start the session: connect to the model and start the connection.""" - self._transport.add_listener(self) - - config = await self.create_session_config( - overrides=self._override_config, - ) - - options: RealtimeTransportConnectionOptions = { - "initial_session_config": config, - } - - if config.get("api_key") is not None: - options["api_key"] = config["api_key"] - elif self._api_key is not None: - options["api_key"] = self._api_key - - if config.get("model") is not None: - options["model"] = config["model"] - elif self._model is not None: - options["model"] = self._model + self._model_config = model_config or {} + self._event_queue: asyncio.Queue[RealtimeSessionEvent] = asyncio.Queue() + self._closed = False + self._background_task: asyncio.Task[None] | None = None + + async def __aenter__(self) -> "RealtimeSession": + """Start the session by connecting to the model. After this, you will be able to stream + events from the model and send messages and audio to the model. + """ + # Add ourselves as a listener + self._model.add_listener(self) - await self._transport.connect(options) + # Connect to the transport + await self._model.connect(self._model_config) - await self._emit_event( + # Emit initial history update + await self._put_event( RealtimeHistoryUpdated( history=self._history, info=self._event_info, ) ) - async def end(self) -> None: - """End the session: disconnect from the model and close the connection.""" - pass - - def add_listener(self, listener: RealtimeSessionListener | RealtimeSessionListenerFunc) -> None: - """Add a listener to the session.""" - if isinstance(listener, RealtimeSessionListener): - self._listeners.append(listener) - else: - self._listeners.append(_RealtimeFuncListener(listener)) - - def remove_listener( - self, listener: RealtimeSessionListener | RealtimeSessionListenerFunc - ) -> None: - """Remove a listener from the session.""" - if isinstance(listener, RealtimeSessionListener): - self._listeners.remove(listener) - else: - for x in self._listeners: - if isinstance(x, _RealtimeFuncListener) and x._func == listener: - self._listeners.remove(x) - break - - async def create_session_config( - self, overrides: RealtimeSessionConfig | None = None - ) -> RealtimeSessionConfig: - """Create the session config.""" - agent = self._current_agent - instructions, tools = await asyncio.gather( - agent.get_system_prompt(self._context_wrapper), - agent.get_all_tools(self._context_wrapper), - ) - config = RealtimeSessionConfig() - - if self._model is not None: - config["model"] = self._model - if instructions is not None: - config["instructions"] = instructions - if tools is not None: - config["tools"] = [tool for tool in tools if isinstance(tool, FunctionTool)] + return self - if overrides: - config.update(overrides) + async def enter(self) -> "RealtimeSession": + """Enter the async context manager. We strongly recommend using the async context manager + pattern instead of this method. If you use this, you need to manually call `close()` when you + are done. + """ + return await self.__aenter__() - return config + async def __aexit__(self, _exc_type: Any, _exc_val: Any, _exc_tb: Any) -> None: + """End the session.""" + await self.close() + + async def __aiter__(self) -> AsyncIterator[RealtimeSessionEvent]: + """Iterate over events from the session.""" + while not self._closed: + try: + event = await self._event_queue.get() + yield event + except asyncio.CancelledError: + break + + async def close(self) -> None: + """Close the session.""" + self._closed = True + self._model.remove_listener(self) + await self._model.close() + + # Cancel any background tasks + if self._background_task and not self._background_task.done(): + self._background_task.cancel() + try: + await self._background_task + except asyncio.CancelledError: + pass async def send_message(self, message: RealtimeUserInput) -> None: """Send a message to the model.""" - await self._transport.send_message(message) + await self._model.send_message(message) async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: """Send a raw audio chunk to the model.""" - await self._transport.send_audio(audio, commit=commit) + await self._model.send_audio(audio, commit=commit) async def interrupt(self) -> None: """Interrupt the model.""" - await self._transport.interrupt() + await self._model.interrupt() - async def on_event(self, event: RealtimeTransportEvent) -> None: - """Called when an event is emitted by the realtime transport.""" - await self._emit_event(RealtimeRawTransportEvent(data=event, info=self._event_info)) + async def on_event(self, event: RealtimeModelEvent) -> None: + await self._put_event(RealtimeRawTransportEvent(data=event, info=self._event_info)) if event.type == "error": - await self._emit_event(RealtimeError(info=self._event_info, error=event.error)) + await self._put_event(RealtimeError(info=self._event_info, error=event.error)) elif event.type == "function_call": - await self._handle_tool_call(event) + # Handle tool calls in the background to avoid blocking event stream + self._background_task = asyncio.create_task(self._handle_tool_call(event)) elif event.type == "audio": - await self._emit_event(RealtimeAudio(info=self._event_info, audio=event)) + await self._put_event(RealtimeAudio(info=self._event_info, audio=event)) elif event.type == "audio_interrupted": - await self._emit_event(RealtimeAudioInterrupted(info=self._event_info)) + await self._put_event(RealtimeAudioInterrupted(info=self._event_info)) elif event.type == "audio_done": - await self._emit_event(RealtimeAudioEnd(info=self._event_info)) + await self._put_event(RealtimeAudioEnd(info=self._event_info)) elif event.type == "conversation.item.input_audio_transcription.completed": self._history = self._get_new_history(self._history, event) - await self._emit_event( + await self._put_event( RealtimeHistoryUpdated(info=self._event_info, history=self._history) ) elif event.type == "transcript_delta": # TODO (rm) Add guardrails pass elif event.type == "item_updated": - is_new = any(item.item_id == event.item.item_id for item in self._history) + is_new = not any(item.item_id == event.item.item_id for item in self._history) self._history = self._get_new_history(self._history, event.item) if is_new: new_item = next( item for item in self._history if item.item_id == event.item.item_id ) - await self._emit_event(RealtimeHistoryAdded(info=self._event_info, item=new_item)) + await self._put_event(RealtimeHistoryAdded(info=self._event_info, item=new_item)) else: - await self._emit_event( + await self._put_event( RealtimeHistoryUpdated(info=self._event_info, history=self._history) ) - pass elif event.type == "item_deleted": deleted_id = event.item_id self._history = [item for item in self._history if item.item_id != deleted_id] - await self._emit_event( + await self._put_event( RealtimeHistoryUpdated(info=self._event_info, history=self._history) ) elif event.type == "connection_status": pass elif event.type == "turn_started": - await self._emit_event( + await self._put_event( RealtimeAgentStartEvent( agent=self._current_agent, info=self._event_info, ) ) elif event.type == "turn_ended": - await self._emit_event( + await self._put_event( RealtimeAgentEndEvent( agent=self._current_agent, info=self._event_info, @@ -280,17 +208,18 @@ async def on_event(self, event: RealtimeTransportEvent) -> None: else: assert_never(event) - async def _emit_event(self, event: RealtimeSessionEvent) -> None: - """Emit an event to the listeners.""" - await asyncio.gather(*[listener.on_event(event) for listener in self._listeners]) + async def _put_event(self, event: RealtimeSessionEvent) -> None: + """Put an event into the queue.""" + await self._event_queue.put(event) - async def _handle_tool_call(self, event: RealtimeTransportToolCallEvent) -> None: + async def _handle_tool_call(self, event: RealtimeModelToolCallEvent) -> None: + """Handle a tool call event.""" all_tools = await self._current_agent.get_all_tools(self._context_wrapper) function_map = {tool.name: tool for tool in all_tools if isinstance(tool, FunctionTool)} handoff_map = {tool.name: tool for tool in all_tools if isinstance(tool, Handoff)} if event.name in function_map: - await self._emit_event( + await self._put_event( RealtimeToolStart( info=self._event_info, tool=function_map[event.name], @@ -302,9 +231,9 @@ async def _handle_tool_call(self, event: RealtimeTransportToolCallEvent) -> None tool_context = ToolContext.from_agent_context(self._context_wrapper, event.call_id) result = await func_tool.on_invoke_tool(tool_context, event.arguments) - await self._transport.send_tool_output(event, str(result), True) + await self._model.send_tool_output(event, str(result), True) - await self._emit_event( + await self._put_event( RealtimeToolEnd( info=self._event_info, tool=func_tool, @@ -322,10 +251,10 @@ async def _handle_tool_call(self, event: RealtimeTransportToolCallEvent) -> None def _get_new_history( self, old_history: list[RealtimeItem], - event: RealtimeTransportInputAudioTranscriptionCompletedEvent | RealtimeItem, + event: RealtimeModelInputAudioTranscriptionCompletedEvent | RealtimeItem, ) -> list[RealtimeItem]: # Merge transcript into placeholder input_audio message. - if isinstance(event, RealtimeTransportInputAudioTranscriptionCompletedEvent): + if isinstance(event, RealtimeModelInputAudioTranscriptionCompletedEvent): new_history: list[RealtimeItem] = [] for item in old_history: if item.item_id == event.item_id and item.type == "message" and item.role == "user": @@ -355,7 +284,7 @@ def _get_new_history( new_history[existing_index] = event return new_history # Otherwise, insert it after the previous_item_id if that is set - elif item.previous_item_id: + elif event.previous_item_id: # Insert the new item after the previous item previous_index = next( (i for i, item in enumerate(old_history) if item.item_id == event.previous_item_id), diff --git a/src/agents/realtime/transport.py b/src/agents/realtime/transport.py deleted file mode 100644 index 18290d128..000000000 --- a/src/agents/realtime/transport.py +++ /dev/null @@ -1,107 +0,0 @@ -import abc -from typing import Any, Literal, Union - -from typing_extensions import NotRequired, TypeAlias, TypedDict - -from .config import APIKeyOrKeyFunc, RealtimeClientMessage, RealtimeSessionConfig, RealtimeUserInput -from .transport_events import RealtimeTransportEvent, RealtimeTransportToolCallEvent - -RealtimeModelName: TypeAlias = Union[ - Literal[ - "gpt-4o-realtime-preview", - "gpt-4o-mini-realtime-preview", - "gpt-4o-realtime-preview-2025-06-03", - "gpt-4o-realtime-preview-2024-12-17", - "gpt-4o-realtime-preview-2024-10-01", - "gpt-4o-mini-realtime-preview-2024-12-17", - ], - str, -] -"""The name of a realtime model.""" - - -class RealtimeTransportListener(abc.ABC): - """A listener for realtime transport events.""" - - @abc.abstractmethod - async def on_event(self, event: RealtimeTransportEvent) -> None: - """Called when an event is emitted by the realtime transport.""" - pass - - -class RealtimeTransportConnectionOptions(TypedDict): - """Options for connecting to a realtime transport.""" - - api_key: NotRequired[APIKeyOrKeyFunc] - """The API key to use for the transport. If unset, the transport will attempt to use the - `OPENAI_API_KEY` environment variable. - """ - - model: NotRequired[str] - """The model to use.""" - - url: NotRequired[str] - """The URL to use for the transport. If unset, the transport will use the default OpenAI - WebSocket URL. - """ - - initial_session_config: NotRequired[RealtimeSessionConfig] - - -class RealtimeSessionTransport(abc.ABC): - """A transport layer for realtime sessions.""" - - @abc.abstractmethod - async def connect(self, options: RealtimeTransportConnectionOptions) -> None: - """Establish a connection to the model and keep it alive.""" - pass - - @abc.abstractmethod - def add_listener(self, listener: RealtimeTransportListener) -> None: - """Add a listener to the transport.""" - pass - - @abc.abstractmethod - async def remove_listener(self, listener: RealtimeTransportListener) -> None: - """Remove a listener from the transport.""" - pass - - @abc.abstractmethod - async def send_event(self, event: RealtimeClientMessage) -> None: - """Send an event to the model.""" - pass - - @abc.abstractmethod - async def send_message( - self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None - ) -> None: - """Send a message to the model.""" - pass - - @abc.abstractmethod - async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: - """Send a raw audio chunk to the model. - - Args: - audio: The audio data to send. - commit: Whether to commit the audio buffer to the model. If the model does not do turn - detection, this can be used to indicate the turn is completed. - """ - pass - - @abc.abstractmethod - async def send_tool_output( - self, tool_call: RealtimeTransportToolCallEvent, output: str, start_response: bool - ) -> None: - """Send tool output to the model.""" - pass - - @abc.abstractmethod - async def interrupt(self) -> None: - """Interrupt the model. For example, could be triggered by a guardrail.""" - pass - - @abc.abstractmethod - async def close(self) -> None: - """Close the session.""" - pass diff --git a/tests/realtime/test_transport_events.py b/tests/realtime/test_model_events.py similarity index 68% rename from tests/realtime/test_transport_events.py rename to tests/realtime/test_model_events.py index 2219303d0..b8696cc29 100644 --- a/tests/realtime/test_transport_events.py +++ b/tests/realtime/test_model_events.py @@ -1,11 +1,11 @@ from typing import get_args -from agents.realtime.transport_events import RealtimeTransportEvent +from agents.realtime.model_events import RealtimeModelEvent def test_all_events_have_type() -> None: """Test that all events have a type.""" - events = get_args(RealtimeTransportEvent) + events = get_args(RealtimeModelEvent) assert len(events) > 0 for event in events: assert event.type is not None From bd4e8f97fab1657641398983d4c9f6574a8a3fd4 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 19:43:49 -0400 Subject: [PATCH 192/337] [8/n] Make realtime more like the rest of agents sdk Key changes: 1. Transport -> model. 2. Extract any model settings into `RealtimeSessionModelSettings`. 3. RealtimeRunConfig, similar to the RunConfig in `run.py`. Next PR I'll update session to be better. --- .vscode/launch.json | 14 + examples/realtime/demo.py | 29 +- src/agents/realtime/__init__.py | 48 ++- src/agents/realtime/config.py | 51 +-- src/agents/realtime/events.py | 18 +- src/agents/realtime/model.py | 97 ++++++ .../{transport_events.py => model_events.py} | 54 +-- src/agents/realtime/openai_realtime.py | 117 ++++--- src/agents/realtime/runner.py | 112 +++++++ src/agents/realtime/session.py | 309 +++++++----------- src/agents/realtime/transport.py | 107 ------ ...ansport_events.py => test_model_events.py} | 4 +- 12 files changed, 530 insertions(+), 430 deletions(-) create mode 100644 .vscode/launch.json create mode 100644 src/agents/realtime/model.py rename src/agents/realtime/{transport_events.py => model_events.py} (66%) create mode 100644 src/agents/realtime/runner.py delete mode 100644 src/agents/realtime/transport.py rename tests/realtime/{test_transport_events.py => test_model_events.py} (68%) diff --git a/.vscode/launch.json b/.vscode/launch.json new file mode 100644 index 000000000..a75c1414f --- /dev/null +++ b/.vscode/launch.json @@ -0,0 +1,14 @@ +{ + // Use IntelliSense to learn about possible attributes. + // Hover to view descriptions of existing attributes. + // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387 + "version": "0.2.0", + "configurations": [ + { + "name": "Python Debugger: Python File", + "type": "debugpy", + "request": "launch", + "program": "${file}" + } + ] +} \ No newline at end of file diff --git a/examples/realtime/demo.py b/examples/realtime/demo.py index a2ea96545..61834a4e5 100644 --- a/examples/realtime/demo.py +++ b/examples/realtime/demo.py @@ -5,11 +5,13 @@ import numpy as np +from agents.realtime import RealtimeSession + # Add the current directory to path so we can import ui sys.path.append(os.path.dirname(os.path.abspath(__file__))) from agents import function_tool -from agents.realtime import RealtimeAgent, RealtimeSession, RealtimeSessionEvent +from agents.realtime import RealtimeAgent, RealtimeRunner, RealtimeSessionEvent if TYPE_CHECKING: from .ui import AppUI @@ -38,23 +40,34 @@ def get_weather(city: str) -> str: class Example: def __init__(self) -> None: - self.session = RealtimeSession(agent) self.ui = AppUI() self.ui.connected = asyncio.Event() self.ui.last_audio_item_id = None # Set the audio callback self.ui.set_audio_callback(self.on_audio_recorded) + self.session: RealtimeSession | None = None + async def run(self) -> None: - self.session.add_listener(self.on_event) - await self.session.connect() - self.ui.set_is_connected(True) - await self.ui.run_async() + # Start UI in a separate task instead of waiting for it to complete + ui_task = asyncio.create_task(self.ui.run_async()) + + # Set up session immediately without waiting for UI to finish + runner = RealtimeRunner(agent) + async with await runner.run() as session: + self.session = session + self.ui.set_is_connected(True) + async for event in session: + await self.on_event(event) + + # Wait for UI task to complete when session ends + await ui_task async def on_audio_recorded(self, audio_bytes: bytes) -> None: """Called when audio is recorded by the UI.""" try: # Send the audio to the session + assert self.session is not None await self.session.send_audio(audio_bytes) except Exception as e: self.ui.log_message(f"Error sending audio: {e}") @@ -87,8 +100,8 @@ async def on_event(self, event: RealtimeSessionEvent) -> None: pass elif event.type == "history_added": pass - elif event.type == "raw_transport_event": - self.ui.log_message(f"Raw transport event: {event.data}") + elif event.type == "raw_model_event": + self.ui.log_message(f"Raw model event: {event.data}") else: self.ui.log_message(f"Unknown event type: {event.type}") except Exception as e: diff --git a/src/agents/realtime/__init__.py b/src/agents/realtime/__init__.py index 7e5d4932a..e0a948508 100644 --- a/src/agents/realtime/__init__.py +++ b/src/agents/realtime/__init__.py @@ -1,5 +1,16 @@ from .agent import RealtimeAgent, RealtimeAgentHooks, RealtimeRunHooks -from .config import APIKeyOrKeyFunc +from .config import ( + RealtimeAudioFormat, + RealtimeClientMessage, + RealtimeInputAudioTranscriptionConfig, + RealtimeModelName, + RealtimeRunConfig, + RealtimeSessionModelSettings, + RealtimeTurnDetectionConfig, + RealtimeUserInput, + RealtimeUserInputMessage, + RealtimeUserInputText, +) from .events import ( RealtimeAgentEndEvent, RealtimeAgentStartEvent, @@ -10,42 +21,51 @@ RealtimeHandoffEvent, RealtimeHistoryAdded, RealtimeHistoryUpdated, - RealtimeRawTransportEvent, + RealtimeRawModelEvent, RealtimeSessionEvent, RealtimeToolEnd, RealtimeToolStart, ) -from .session import RealtimeSession -from .transport import ( - RealtimeModelName, - RealtimeSessionTransport, - RealtimeTransportConnectionOptions, - RealtimeTransportListener, +from .model import ( + RealtimeModel, + RealtimeModelConfig, + RealtimeModelListener, ) +from .runner import RealtimeRunner +from .session import RealtimeSession __all__ = [ "RealtimeAgent", "RealtimeAgentHooks", "RealtimeRunHooks", - "RealtimeSession", + "RealtimeRunner", "RealtimeSessionListener", "RealtimeSessionListenerFunc", - "APIKeyOrKeyFunc", + "RealtimeRunConfig", + "RealtimeSessionModelSettings", + "RealtimeInputAudioTranscriptionConfig", + "RealtimeTurnDetectionConfig", + "RealtimeAudioFormat", + "RealtimeClientMessage", + "RealtimeUserInput", + "RealtimeUserInputMessage", + "RealtimeUserInputText", "RealtimeModelName", - "RealtimeSessionTransport", - "RealtimeTransportListener", - "RealtimeTransportConnectionOptions", + "RealtimeModel", + "RealtimeModelListener", + "RealtimeModelConfig", "RealtimeSessionEvent", "RealtimeAgentStartEvent", "RealtimeAgentEndEvent", "RealtimeHandoffEvent", "RealtimeToolStart", "RealtimeToolEnd", - "RealtimeRawTransportEvent", + "RealtimeRawModelEvent", "RealtimeAudioEnd", "RealtimeAudio", "RealtimeAudioInterrupted", "RealtimeError", "RealtimeHistoryUpdated", "RealtimeHistoryAdded", + "RealtimeSession", ] diff --git a/src/agents/realtime/config.py b/src/agents/realtime/config.py index aa15c837d..459a03a9a 100644 --- a/src/agents/realtime/config.py +++ b/src/agents/realtime/config.py @@ -1,9 +1,7 @@ from __future__ import annotations -import inspect from typing import ( Any, - Callable, Literal, Union, ) @@ -11,8 +9,20 @@ from typing_extensions import NotRequired, TypeAlias, TypedDict from ..model_settings import ToolChoice -from ..tool import FunctionTool -from ..util._types import MaybeAwaitable +from ..tool import Tool + +RealtimeModelName: TypeAlias = Union[ + Literal[ + "gpt-4o-realtime-preview", + "gpt-4o-mini-realtime-preview", + "gpt-4o-realtime-preview-2025-06-03", + "gpt-4o-realtime-preview-2024-12-17", + "gpt-4o-realtime-preview-2024-10-01", + "gpt-4o-mini-realtime-preview-2024-12-17", + ], + str, +] +"""The name of a realtime model.""" class RealtimeClientMessage(TypedDict): @@ -20,7 +30,7 @@ class RealtimeClientMessage(TypedDict): other_data: NotRequired[dict[str, Any]] -class UserInputText(TypedDict): +class RealtimeUserInputText(TypedDict): type: Literal["input_text"] text: str @@ -28,7 +38,7 @@ class UserInputText(TypedDict): class RealtimeUserInputMessage(TypedDict): type: Literal["message"] role: Literal["user"] - content: list[UserInputText] + content: list[RealtimeUserInputText] RealtimeUserInput: TypeAlias = Union[str, RealtimeUserInputMessage] @@ -55,9 +65,11 @@ class RealtimeTurnDetectionConfig(TypedDict): threshold: NotRequired[float] -class RealtimeSessionConfig(TypedDict): - api_key: NotRequired[APIKeyOrKeyFunc] - model: NotRequired[str] +class RealtimeSessionModelSettings(TypedDict): + """Model settings for a realtime model session.""" + + model_name: NotRequired[RealtimeModelName] + instructions: NotRequired[str] modalities: NotRequired[list[Literal["text", "audio"]]] voice: NotRequired[str] @@ -68,24 +80,13 @@ class RealtimeSessionConfig(TypedDict): turn_detection: NotRequired[RealtimeTurnDetectionConfig] tool_choice: NotRequired[ToolChoice] - tools: NotRequired[list[FunctionTool]] - - -APIKeyOrKeyFunc = str | Callable[[], MaybeAwaitable[str]] -"""Either an API key or a function that returns an API key.""" - + tools: NotRequired[list[Tool]] -async def get_api_key(key: APIKeyOrKeyFunc | None) -> str | None: - """Get the API key from the key or key function.""" - if key is None: - return None - elif isinstance(key, str): - return key - result = key() - if inspect.isawaitable(result): - return await result - return result +class RealtimeRunConfig(TypedDict): + model_settings: NotRequired[RealtimeSessionModelSettings] # TODO (rm) Add tracing support # tracing: NotRequired[RealtimeTracingConfig | None] + # TODO (rm) Add guardrail support + # TODO (rm) Add history audio storage config diff --git a/src/agents/realtime/events.py b/src/agents/realtime/events.py index bd6b7b5b0..43d006daf 100644 --- a/src/agents/realtime/events.py +++ b/src/agents/realtime/events.py @@ -7,7 +7,7 @@ from ..tool import Tool from .agent import RealtimeAgent from .items import RealtimeItem -from .transport_events import RealtimeTransportAudioEvent, RealtimeTransportEvent +from .model_events import RealtimeModelAudioEvent, RealtimeModelEvent @dataclass @@ -93,16 +93,16 @@ class RealtimeToolEnd: @dataclass -class RealtimeRawTransportEvent: - """Forwards raw events from the transport layer.""" +class RealtimeRawModelEvent: + """Forwards raw events from the model layer.""" - data: RealtimeTransportEvent - """The raw data from the transport layer.""" + data: RealtimeModelEvent + """The raw data from the model layer.""" info: RealtimeEventInfo """Common info for all events, such as the context.""" - type: Literal["raw_transport_event"] = "raw_transport_event" + type: Literal["raw_model_event"] = "raw_model_event" @dataclass @@ -119,8 +119,8 @@ class RealtimeAudioEnd: class RealtimeAudio: """Triggered when the agent generates new audio to be played.""" - audio: RealtimeTransportAudioEvent - """The audio event from the transport layer.""" + audio: RealtimeModelAudioEvent + """The audio event from the model layer.""" info: RealtimeEventInfo """Common info for all events, such as the context.""" @@ -187,7 +187,7 @@ class RealtimeHistoryAdded: RealtimeHandoffEvent, RealtimeToolStart, RealtimeToolEnd, - RealtimeRawTransportEvent, + RealtimeRawModelEvent, RealtimeAudioEnd, RealtimeAudio, RealtimeAudioInterrupted, diff --git a/src/agents/realtime/model.py b/src/agents/realtime/model.py new file mode 100644 index 000000000..704751917 --- /dev/null +++ b/src/agents/realtime/model.py @@ -0,0 +1,97 @@ +import abc +from typing import Any, Callable + +from typing_extensions import NotRequired, TypedDict + +from ..util._types import MaybeAwaitable +from .config import ( + RealtimeClientMessage, + RealtimeSessionModelSettings, + RealtimeUserInput, +) +from .model_events import RealtimeModelEvent, RealtimeModelToolCallEvent + + +class RealtimeModelListener(abc.ABC): + """A listener for realtime transport events.""" + + @abc.abstractmethod + async def on_event(self, event: RealtimeModelEvent) -> None: + """Called when an event is emitted by the realtime transport.""" + pass + + +class RealtimeModelConfig(TypedDict): + """Options for connecting to a realtime model.""" + + api_key: NotRequired[str | Callable[[], MaybeAwaitable[str]]] + """The API key (or function that returns a key) to use when connecting. If unset, the model will + try to use a sane default. For example, the OpenAI Realtime model will try to use the + `OPENAI_API_KEY` environment variable. + """ + + url: NotRequired[str] + """The URL to use when connecting. If unset, the model will use a sane default. For example, + the OpenAI Realtime model will use the default OpenAI WebSocket URL. + """ + + initial_model_settings: NotRequired[RealtimeSessionModelSettings] + + +class RealtimeModel(abc.ABC): + """Interface for connecting to a realtime model and sending/receiving events.""" + + @abc.abstractmethod + async def connect(self, options: RealtimeModelConfig) -> None: + """Establish a connection to the model and keep it alive.""" + pass + + @abc.abstractmethod + def add_listener(self, listener: RealtimeModelListener) -> None: + """Add a listener to the model.""" + pass + + @abc.abstractmethod + def remove_listener(self, listener: RealtimeModelListener) -> None: + """Remove a listener from the model.""" + pass + + @abc.abstractmethod + async def send_event(self, event: RealtimeClientMessage) -> None: + """Send an event to the model.""" + pass + + @abc.abstractmethod + async def send_message( + self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None + ) -> None: + """Send a message to the model.""" + pass + + @abc.abstractmethod + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Send a raw audio chunk to the model. + + Args: + audio: The audio data to send. + commit: Whether to commit the audio buffer to the model. If the model does not do turn + detection, this can be used to indicate the turn is completed. + """ + pass + + @abc.abstractmethod + async def send_tool_output( + self, tool_call: RealtimeModelToolCallEvent, output: str, start_response: bool + ) -> None: + """Send tool output to the model.""" + pass + + @abc.abstractmethod + async def interrupt(self) -> None: + """Interrupt the model. For example, could be triggered by a guardrail.""" + pass + + @abc.abstractmethod + async def close(self) -> None: + """Close the session.""" + pass diff --git a/src/agents/realtime/transport_events.py b/src/agents/realtime/model_events.py similarity index 66% rename from src/agents/realtime/transport_events.py rename to src/agents/realtime/model_events.py index 735577b17..a9769cebd 100644 --- a/src/agents/realtime/transport_events.py +++ b/src/agents/realtime/model_events.py @@ -11,7 +11,7 @@ @dataclass -class RealtimeTransportErrorEvent: +class RealtimeModelErrorEvent: """Represents a transport‑layer error.""" error: Any @@ -20,7 +20,7 @@ class RealtimeTransportErrorEvent: @dataclass -class RealtimeTransportToolCallEvent: +class RealtimeModelToolCallEvent: """Model attempted a tool/function call.""" name: str @@ -34,7 +34,7 @@ class RealtimeTransportToolCallEvent: @dataclass -class RealtimeTransportAudioEvent: +class RealtimeModelAudioEvent: """Raw audio bytes emitted by the model.""" data: bytes @@ -44,21 +44,21 @@ class RealtimeTransportAudioEvent: @dataclass -class RealtimeTransportAudioInterruptedEvent: +class RealtimeModelAudioInterruptedEvent: """Audio interrupted.""" type: Literal["audio_interrupted"] = "audio_interrupted" @dataclass -class RealtimeTransportAudioDoneEvent: +class RealtimeModelAudioDoneEvent: """Audio done.""" type: Literal["audio_done"] = "audio_done" @dataclass -class RealtimeTransportInputAudioTranscriptionCompletedEvent: +class RealtimeModelInputAudioTranscriptionCompletedEvent: """Input audio transcription completed.""" item_id: str @@ -70,7 +70,7 @@ class RealtimeTransportInputAudioTranscriptionCompletedEvent: @dataclass -class RealtimeTransportTranscriptDelta: +class RealtimeModelTranscriptDeltaEvent: """Partial transcript update.""" item_id: str @@ -81,7 +81,7 @@ class RealtimeTransportTranscriptDelta: @dataclass -class RealtimeTransportItemUpdatedEvent: +class RealtimeModelItemUpdatedEvent: """Item added to the history or updated.""" item: RealtimeItem @@ -90,7 +90,7 @@ class RealtimeTransportItemUpdatedEvent: @dataclass -class RealtimeTransportItemDeletedEvent: +class RealtimeModelItemDeletedEvent: """Item deleted from the history.""" item_id: str @@ -99,7 +99,7 @@ class RealtimeTransportItemDeletedEvent: @dataclass -class RealtimeTransportConnectionStatusEvent: +class RealtimeModelConnectionStatusEvent: """Connection status changed.""" status: RealtimeConnectionStatus @@ -108,21 +108,21 @@ class RealtimeTransportConnectionStatusEvent: @dataclass -class RealtimeTransportTurnStartedEvent: +class RealtimeModelTurnStartedEvent: """Triggered when the model starts generating a response for a turn.""" type: Literal["turn_started"] = "turn_started" @dataclass -class RealtimeTransportTurnEndedEvent: +class RealtimeModelTurnEndedEvent: """Triggered when the model finishes generating a response for a turn.""" type: Literal["turn_ended"] = "turn_ended" @dataclass -class RealtimeTransportOtherEvent: +class RealtimeModelOtherEvent: """Used as a catchall for vendor-specific events.""" data: Any @@ -133,18 +133,18 @@ class RealtimeTransportOtherEvent: # TODO (rm) Add usage events -RealtimeTransportEvent: TypeAlias = Union[ - RealtimeTransportErrorEvent, - RealtimeTransportToolCallEvent, - RealtimeTransportAudioEvent, - RealtimeTransportAudioInterruptedEvent, - RealtimeTransportAudioDoneEvent, - RealtimeTransportInputAudioTranscriptionCompletedEvent, - RealtimeTransportTranscriptDelta, - RealtimeTransportItemUpdatedEvent, - RealtimeTransportItemDeletedEvent, - RealtimeTransportConnectionStatusEvent, - RealtimeTransportTurnStartedEvent, - RealtimeTransportTurnEndedEvent, - RealtimeTransportOtherEvent, +RealtimeModelEvent: TypeAlias = Union[ + RealtimeModelErrorEvent, + RealtimeModelToolCallEvent, + RealtimeModelAudioEvent, + RealtimeModelAudioInterruptedEvent, + RealtimeModelAudioDoneEvent, + RealtimeModelInputAudioTranscriptionCompletedEvent, + RealtimeModelTranscriptDeltaEvent, + RealtimeModelItemUpdatedEvent, + RealtimeModelItemDeletedEvent, + RealtimeModelConnectionStatusEvent, + RealtimeModelTurnStartedEvent, + RealtimeModelTurnEndedEvent, + RealtimeModelOtherEvent, ] diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 6dc34bcf1..b3f6eb2e0 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -1,9 +1,12 @@ +from __future__ import annotations + import asyncio import base64 +import inspect import json import os from datetime import datetime -from typing import Any +from typing import Any, Callable import websockets from openai.types.beta.realtime.realtime_server_event import ( @@ -12,52 +15,72 @@ from pydantic import TypeAdapter from websockets.asyncio.client import ClientConnection +from agents.util._types import MaybeAwaitable + from ..exceptions import UserError from ..logger import logger -from .config import RealtimeClientMessage, RealtimeUserInput, get_api_key +from .config import ( + RealtimeClientMessage, + RealtimeSessionModelSettings, + RealtimeUserInput, +) from .items import RealtimeMessageItem, RealtimeToolCallItem -from .transport import ( - RealtimeSessionTransport, - RealtimeTransportConnectionOptions, - RealtimeTransportListener, +from .model import ( + RealtimeModel, + RealtimeModelConfig, + RealtimeModelListener, ) -from .transport_events import ( - RealtimeTransportAudioDoneEvent, - RealtimeTransportAudioEvent, - RealtimeTransportAudioInterruptedEvent, - RealtimeTransportErrorEvent, - RealtimeTransportEvent, - RealtimeTransportInputAudioTranscriptionCompletedEvent, - RealtimeTransportItemDeletedEvent, - RealtimeTransportItemUpdatedEvent, - RealtimeTransportToolCallEvent, - RealtimeTransportTranscriptDelta, - RealtimeTransportTurnEndedEvent, - RealtimeTransportTurnStartedEvent, +from .model_events import ( + RealtimeModelAudioDoneEvent, + RealtimeModelAudioEvent, + RealtimeModelAudioInterruptedEvent, + RealtimeModelErrorEvent, + RealtimeModelEvent, + RealtimeModelInputAudioTranscriptionCompletedEvent, + RealtimeModelItemDeletedEvent, + RealtimeModelItemUpdatedEvent, + RealtimeModelToolCallEvent, + RealtimeModelTranscriptDeltaEvent, + RealtimeModelTurnEndedEvent, + RealtimeModelTurnStartedEvent, ) -class OpenAIRealtimeWebSocketTransport(RealtimeSessionTransport): - """A transport layer for realtime sessions that uses OpenAI's WebSocket API.""" +async def get_api_key(key: str | Callable[[], MaybeAwaitable[str]] | None) -> str | None: + if isinstance(key, str): + return key + elif callable(key): + result = key() + if inspect.isawaitable(result): + return await result + return result + + return os.getenv("OPENAI_API_KEY") + + +class OpenAIRealtimeWebSocketModel(RealtimeModel): + """A model that uses OpenAI's WebSocket API.""" def __init__(self) -> None: self.model = "gpt-4o-realtime-preview" # Default model self._websocket: ClientConnection | None = None self._websocket_task: asyncio.Task[None] | None = None - self._listeners: list[RealtimeTransportListener] = [] + self._listeners: list[RealtimeModelListener] = [] self._current_item_id: str | None = None self._audio_start_time: datetime | None = None self._audio_length_ms: float = 0.0 self._ongoing_response: bool = False self._current_audio_content_index: int | None = None - async def connect(self, options: RealtimeTransportConnectionOptions) -> None: + async def connect(self, options: RealtimeModelConfig) -> None: """Establish a connection to the model and keep it alive.""" assert self._websocket is None, "Already connected" assert self._websocket_task is None, "Already connected" - self.model = options.get("model", self.model) - api_key = await get_api_key(options.get("api_key", os.getenv("OPENAI_API_KEY"))) + model_settings: RealtimeSessionModelSettings = options.get("initial_model_settings", {}) + + self.model = model_settings.get("model_name", self.model) + api_key = await get_api_key(options.get("api_key")) if not api_key: raise UserError("API key is required but was not provided.") @@ -71,15 +94,15 @@ async def connect(self, options: RealtimeTransportConnectionOptions) -> None: self._websocket = await websockets.connect(url, additional_headers=headers) self._websocket_task = asyncio.create_task(self._listen_for_messages()) - def add_listener(self, listener: RealtimeTransportListener) -> None: - """Add a listener to the transport.""" + def add_listener(self, listener: RealtimeModelListener) -> None: + """Add a listener to the model.""" self._listeners.append(listener) - async def remove_listener(self, listener: RealtimeTransportListener) -> None: - """Remove a listener from the transport.""" + def remove_listener(self, listener: RealtimeModelListener) -> None: + """Remove a listener from the model.""" self._listeners.remove(listener) - async def _emit_event(self, event: RealtimeTransportEvent) -> None: + async def _emit_event(self, event: RealtimeModelEvent) -> None: """Emit an event to the listeners.""" for listener in self._listeners: await listener.on_event(event) @@ -154,7 +177,7 @@ async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: await self.send_event({"type": "input_audio_buffer.commit"}) async def send_tool_output( - self, tool_call: RealtimeTransportToolCallEvent, output: str, start_response: bool + self, tool_call: RealtimeModelToolCallEvent, output: str, start_response: bool ) -> None: """Send tool output to the model.""" await self.send_event( @@ -179,7 +202,7 @@ async def send_tool_output( name=tool_call.name, output=output, ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=tool_item)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=tool_item)) if start_response: await self.send_event({"type": "response.create"}) @@ -193,7 +216,7 @@ async def interrupt(self) -> None: elapsed_time_ms = (datetime.now() - self._audio_start_time).total_seconds() * 1000 if elapsed_time_ms > 0 and elapsed_time_ms < self._audio_length_ms: - await self._emit_event(RealtimeTransportAudioInterruptedEvent()) + await self._emit_event(RealtimeModelAudioInterruptedEvent()) await self.send_event( { "type": "conversation.item.truncate", @@ -231,9 +254,7 @@ async def _handle_ws_event(self, event: dict[str, Any]): ).validate_python(event) except Exception as e: logger.error(f"Invalid event: {event} - {e}") - await self._emit_event( - RealtimeTransportErrorEvent(error=f"Invalid event: {event} - {e}") - ) + # await self._emit_event(RealtimeModelErrorEvent(error=f"Invalid event: {event} - {e}")) return if parsed.type == "response.audio.delta": @@ -247,25 +268,25 @@ async def _handle_ws_event(self, event: dict[str, Any]): # Calculate audio length in ms using 24KHz pcm16le self._audio_length_ms += len(audio_bytes) / 24 / 2 await self._emit_event( - RealtimeTransportAudioEvent(data=audio_bytes, response_id=parsed.response_id) + RealtimeModelAudioEvent(data=audio_bytes, response_id=parsed.response_id) ) elif parsed.type == "response.audio.done": - await self._emit_event(RealtimeTransportAudioDoneEvent()) + await self._emit_event(RealtimeModelAudioDoneEvent()) elif parsed.type == "input_audio_buffer.speech_started": await self.interrupt() elif parsed.type == "response.created": self._ongoing_response = True - await self._emit_event(RealtimeTransportTurnStartedEvent()) + await self._emit_event(RealtimeModelTurnStartedEvent()) elif parsed.type == "response.done": self._ongoing_response = False - await self._emit_event(RealtimeTransportTurnEndedEvent()) + await self._emit_event(RealtimeModelTurnEndedEvent()) elif parsed.type == "session.created": # TODO (rm) tracing stuff here pass elif parsed.type == "error": - await self._emit_event(RealtimeTransportErrorEvent(error=parsed.error)) + await self._emit_event(RealtimeModelErrorEvent(error=parsed.error)) elif parsed.type == "conversation.item.deleted": - await self._emit_event(RealtimeTransportItemDeletedEvent(item_id=parsed.item_id)) + await self._emit_event(RealtimeModelItemDeletedEvent(item_id=parsed.item_id)) elif ( parsed.type == "conversation.item.created" or parsed.type == "conversation.item.retrieved" @@ -284,7 +305,7 @@ async def _handle_ws_event(self, event: dict[str, Any]): "status": "in_progress", } ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=message_item)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=message_item)) elif ( parsed.type == "conversation.item.input_audio_transcription.completed" or parsed.type == "conversation.item.truncated" @@ -299,13 +320,13 @@ async def _handle_ws_event(self, event: dict[str, Any]): ) if parsed.type == "conversation.item.input_audio_transcription.completed": await self._emit_event( - RealtimeTransportInputAudioTranscriptionCompletedEvent( + RealtimeModelInputAudioTranscriptionCompletedEvent( item_id=parsed.item_id, transcript=parsed.transcript ) ) elif parsed.type == "response.audio_transcript.delta": await self._emit_event( - RealtimeTransportTranscriptDelta( + RealtimeModelTranscriptDeltaEvent( item_id=parsed.item_id, delta=parsed.delta, response_id=parsed.response_id ) ) @@ -333,9 +354,9 @@ async def _handle_ws_event(self, event: dict[str, Any]): name=item.name or "", output=None, ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=tool_call)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=tool_call)) await self._emit_event( - RealtimeTransportToolCallEvent( + RealtimeModelToolCallEvent( call_id=item.id or "", name=item.name or "", arguments=item.arguments or "", @@ -352,4 +373,4 @@ async def _handle_ws_event(self, event: dict[str, Any]): "status": "in_progress", } ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=message_item)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=message_item)) diff --git a/src/agents/realtime/runner.py b/src/agents/realtime/runner.py new file mode 100644 index 000000000..4470ab220 --- /dev/null +++ b/src/agents/realtime/runner.py @@ -0,0 +1,112 @@ +"""Minimal realtime session implementation for voice agents.""" + +from __future__ import annotations + +import asyncio + +from ..run_context import RunContextWrapper, TContext +from .agent import RealtimeAgent +from .config import ( + RealtimeRunConfig, + RealtimeSessionModelSettings, +) +from .model import ( + RealtimeModel, + RealtimeModelConfig, +) +from .openai_realtime import OpenAIRealtimeWebSocketModel +from .session import RealtimeSession + + +class RealtimeRunner: + """A `RealtimeRunner` is the equivalent of `Runner` for realtime agents. It automatically + handles multiple turns by maintaining a persistent connection with the underlying model + layer. + + The session manages the local history copy, executes tools, runs guardrails and facilitates + handoffs between agents. + + Since this code runs on your server, it uses WebSockets by default. You can optionally create + your own custom model layer by implementing the `RealtimeModel` interface. + """ + + def __init__( + self, + starting_agent: RealtimeAgent, + *, + model: RealtimeModel | None = None, + config: RealtimeRunConfig | None = None, + ) -> None: + """Initialize the realtime runner. + + Args: + starting_agent: The agent to start the session with. + context: The context to use for the session. + model: The model to use. If not provided, will use a default OpenAI realtime model. + config: Override parameters to use for the entire run. + """ + self._starting_agent = starting_agent + self._config = config + self._model = model or OpenAIRealtimeWebSocketModel() + + async def run( + self, *, context: TContext | None = None, model_config: RealtimeModelConfig | None = None + ) -> RealtimeSession: + """Start and returns a realtime session. + + Returns: + RealtimeSession: A session object that allows bidirectional communication with the + realtime model. + + Example: + ```python + runner = RealtimeRunner(agent) + async with await runner.run() as session: + await session.send_message("Hello") + async for event in session: + print(event) + ``` + """ + model_settings = await self._get_model_settings( + agent=self._starting_agent, + initial_settings=model_config.get("initial_model_settings") if model_config else None, + overrides=self._config.get("model_settings") if self._config else None, + ) + + model_config = model_config.copy() if model_config else {} + model_config["initial_model_settings"] = model_settings + + # Create and return the connection + session = RealtimeSession( + model=self._model, + agent=self._starting_agent, + context=context, + model_config=model_config, + ) + + return session + + async def _get_model_settings( + self, + agent: RealtimeAgent, + context: TContext | None = None, + initial_settings: RealtimeSessionModelSettings | None = None, + overrides: RealtimeSessionModelSettings | None = None, + ) -> RealtimeSessionModelSettings: + context_wrapper = RunContextWrapper(context) + model_settings = initial_settings.copy() if initial_settings else {} + + instructions, tools = await asyncio.gather( + agent.get_system_prompt(context_wrapper), + agent.get_all_tools(context_wrapper), + ) + + if instructions is not None: + model_settings["instructions"] = instructions + if tools is not None: + model_settings["tools"] = tools + + if overrides: + model_settings.update(overrides) + + return model_settings diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index fd2a0a3ff..10fa51055 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -1,20 +1,15 @@ -"""Minimal realtime session implementation for voice agents.""" - -from __future__ import annotations - -import abc import asyncio -from collections.abc import Awaitable -from typing import Any, Callable, Literal +from collections.abc import AsyncIterator +from typing import Any -from typing_extensions import TypeAlias, assert_never +from typing_extensions import assert_never from ..handoffs import Handoff -from ..run_context import RunContextWrapper +from ..run_context import RunContextWrapper, TContext from ..tool import FunctionTool from ..tool_context import ToolContext from .agent import RealtimeAgent -from .config import APIKeyOrKeyFunc, RealtimeSessionConfig, RealtimeUserInput +from .config import RealtimeUserInput from .events import ( RealtimeAgentEndEvent, RealtimeAgentStartEvent, @@ -23,253 +18,186 @@ RealtimeAudioInterrupted, RealtimeError, RealtimeEventInfo, - RealtimeHandoffEvent, # noqa: F401 RealtimeHistoryAdded, RealtimeHistoryUpdated, - RealtimeRawTransportEvent, + RealtimeRawModelEvent, RealtimeSessionEvent, RealtimeToolEnd, RealtimeToolStart, ) from .items import InputAudio, InputText, RealtimeItem -from .openai_realtime import OpenAIRealtimeWebSocketTransport -from .transport import ( - RealtimeModelName, - RealtimeSessionTransport, - RealtimeTransportConnectionOptions, - RealtimeTransportListener, -) -from .transport_events import ( - RealtimeTransportEvent, - RealtimeTransportInputAudioTranscriptionCompletedEvent, - RealtimeTransportToolCallEvent, +from .model import RealtimeModel, RealtimeModelConfig, RealtimeModelListener +from .model_events import ( + RealtimeModelEvent, + RealtimeModelInputAudioTranscriptionCompletedEvent, + RealtimeModelToolCallEvent, ) -class RealtimeSessionListener(abc.ABC): - """A listener for realtime session events.""" - - @abc.abstractmethod - async def on_event(self, event: RealtimeSessionEvent) -> None: - """Called when an event is emitted by the realtime session.""" - pass - - -RealtimeSessionListenerFunc: TypeAlias = Callable[[RealtimeSessionEvent], Awaitable[None]] -"""A function that can be used as a listener for realtime session events.""" - - -class _RealtimeFuncListener(RealtimeSessionListener): - """A listener that wraps a function.""" - - def __init__(self, func: RealtimeSessionListenerFunc) -> None: - self._func = func - - async def on_event(self, event: RealtimeSessionEvent) -> None: - """Call the wrapped function with the event.""" - await self._func(event) - - -class RealtimeSession(RealtimeTransportListener): - """A `RealtimeSession` is the equivalent of `Runner` for realtime agents. It automatically - handles multiple turns by maintaining a persistent connection with the underlying transport - layer. - - The session manages the local history copy, executes tools, runs guardrails and facilitates - handoffs between agents. - - Since this code runs on your server, it uses WebSockets by default. You can optionally create - your own custom transport layer by implementing the `RealtimeSessionTransport` interface. +class RealtimeSession(RealtimeModelListener): + """A connection to a realtime model. It streams events from the model to you, and allows you to + send messages and audio to the model. + + Example: + ```python + runner = RealtimeRunner(agent) + async with await runner.run() as session: + # Send messages + await session.send_message("Hello") + await session.send_audio(audio_bytes) + + # Stream events + async for event in session: + if event.type == "audio": + # Handle audio event + pass + ``` """ def __init__( self, - starting_agent: RealtimeAgent, - *, - context: Any | None = None, - transport: Literal["websocket"] | RealtimeSessionTransport = "websocket", - api_key: APIKeyOrKeyFunc | None = None, - model: RealtimeModelName | None = None, - config: RealtimeSessionConfig | None = None, - # TODO (rm) Add guardrail support - # TODO (rm) Add tracing support - # TODO (rm) Add history audio storage config + model: RealtimeModel, + agent: RealtimeAgent, + context: TContext | None, + model_config: RealtimeModelConfig | None = None, ) -> None: - """Initialize the realtime session. + """Initialize the session. Args: - starting_agent: The agent to start the session with. - context: The context to use for the session. - transport: The transport to use for the session. Defaults to using websockets. - api_key: The API key to use for the session. - model: The model to use. Must be a realtime model. - config: Override parameters to use. + model: The model to use. + agent: The current agent. + context_wrapper: The context wrapper. + event_info: Event info object. + history: The conversation history. + model_config: Model configuration. """ - self._current_agent = starting_agent + self._model = model + self._current_agent = agent self._context_wrapper = RunContextWrapper(context) self._event_info = RealtimeEventInfo(context=self._context_wrapper) - self._override_config = config self._history: list[RealtimeItem] = [] - self._model = model - self._api_key = api_key - - self._listeners: list[RealtimeSessionListener] = [] - - if transport == "websocket": - self._transport: RealtimeSessionTransport = OpenAIRealtimeWebSocketTransport() - else: - self._transport = transport - - async def __aenter__(self) -> RealtimeSession: - """Async context manager entry.""" - await self.connect() - return self - - async def __aexit__(self, _exc_type: Any, _exc_val: Any, _exc_tb: Any) -> None: - """Async context manager exit.""" - await self.end() - - async def connect(self) -> None: - """Start the session: connect to the model and start the connection.""" - self._transport.add_listener(self) - - config = await self.create_session_config( - overrides=self._override_config, - ) - - options: RealtimeTransportConnectionOptions = { - "initial_session_config": config, - } - - if config.get("api_key") is not None: - options["api_key"] = config["api_key"] - elif self._api_key is not None: - options["api_key"] = self._api_key - - if config.get("model") is not None: - options["model"] = config["model"] - elif self._model is not None: - options["model"] = self._model + self._model_config = model_config or {} + self._event_queue: asyncio.Queue[RealtimeSessionEvent] = asyncio.Queue() + self._closed = False + self._background_task: asyncio.Task[None] | None = None + + async def __aenter__(self) -> "RealtimeSession": + """Start the session by connecting to the model. After this, you will be able to stream + events from the model and send messages and audio to the model. + """ + # Add ourselves as a listener + self._model.add_listener(self) - await self._transport.connect(options) + # Connect to the model + await self._model.connect(self._model_config) - await self._emit_event( + # Emit initial history update + await self._put_event( RealtimeHistoryUpdated( history=self._history, info=self._event_info, ) ) - async def end(self) -> None: - """End the session: disconnect from the model and close the connection.""" - pass - - def add_listener(self, listener: RealtimeSessionListener | RealtimeSessionListenerFunc) -> None: - """Add a listener to the session.""" - if isinstance(listener, RealtimeSessionListener): - self._listeners.append(listener) - else: - self._listeners.append(_RealtimeFuncListener(listener)) - - def remove_listener( - self, listener: RealtimeSessionListener | RealtimeSessionListenerFunc - ) -> None: - """Remove a listener from the session.""" - if isinstance(listener, RealtimeSessionListener): - self._listeners.remove(listener) - else: - for x in self._listeners: - if isinstance(x, _RealtimeFuncListener) and x._func == listener: - self._listeners.remove(x) - break - - async def create_session_config( - self, overrides: RealtimeSessionConfig | None = None - ) -> RealtimeSessionConfig: - """Create the session config.""" - agent = self._current_agent - instructions, tools = await asyncio.gather( - agent.get_system_prompt(self._context_wrapper), - agent.get_all_tools(self._context_wrapper), - ) - config = RealtimeSessionConfig() - - if self._model is not None: - config["model"] = self._model - if instructions is not None: - config["instructions"] = instructions - if tools is not None: - config["tools"] = [tool for tool in tools if isinstance(tool, FunctionTool)] + return self - if overrides: - config.update(overrides) + async def enter(self) -> "RealtimeSession": + """Enter the async context manager. We strongly recommend using the async context manager + pattern instead of this method. If you use this, you need to manually call `close()` when you + are done. + """ + return await self.__aenter__() - return config + async def __aexit__(self, _exc_type: Any, _exc_val: Any, _exc_tb: Any) -> None: + """End the session.""" + await self.close() + + async def __aiter__(self) -> AsyncIterator[RealtimeSessionEvent]: + """Iterate over events from the session.""" + while not self._closed: + try: + event = await self._event_queue.get() + yield event + except asyncio.CancelledError: + break + + async def close(self) -> None: + """Close the session.""" + self._closed = True + self._model.remove_listener(self) + await self._model.close() + + # Cancel any background tasks + if self._background_task and not self._background_task.done(): + self._background_task.cancel() + try: + await self._background_task + except asyncio.CancelledError: + pass async def send_message(self, message: RealtimeUserInput) -> None: """Send a message to the model.""" - await self._transport.send_message(message) + await self._model.send_message(message) async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: """Send a raw audio chunk to the model.""" - await self._transport.send_audio(audio, commit=commit) + await self._model.send_audio(audio, commit=commit) async def interrupt(self) -> None: """Interrupt the model.""" - await self._transport.interrupt() + await self._model.interrupt() - async def on_event(self, event: RealtimeTransportEvent) -> None: - """Called when an event is emitted by the realtime transport.""" - await self._emit_event(RealtimeRawTransportEvent(data=event, info=self._event_info)) + async def on_event(self, event: RealtimeModelEvent) -> None: + await self._put_event(RealtimeRawModelEvent(data=event, info=self._event_info)) if event.type == "error": - await self._emit_event(RealtimeError(info=self._event_info, error=event.error)) + await self._put_event(RealtimeError(info=self._event_info, error=event.error)) elif event.type == "function_call": - await self._handle_tool_call(event) + # Handle tool calls in the background to avoid blocking event stream + self._background_task = asyncio.create_task(self._handle_tool_call(event)) elif event.type == "audio": - await self._emit_event(RealtimeAudio(info=self._event_info, audio=event)) + await self._put_event(RealtimeAudio(info=self._event_info, audio=event)) elif event.type == "audio_interrupted": - await self._emit_event(RealtimeAudioInterrupted(info=self._event_info)) + await self._put_event(RealtimeAudioInterrupted(info=self._event_info)) elif event.type == "audio_done": - await self._emit_event(RealtimeAudioEnd(info=self._event_info)) + await self._put_event(RealtimeAudioEnd(info=self._event_info)) elif event.type == "conversation.item.input_audio_transcription.completed": self._history = self._get_new_history(self._history, event) - await self._emit_event( + await self._put_event( RealtimeHistoryUpdated(info=self._event_info, history=self._history) ) elif event.type == "transcript_delta": # TODO (rm) Add guardrails pass elif event.type == "item_updated": - is_new = any(item.item_id == event.item.item_id for item in self._history) + is_new = not any(item.item_id == event.item.item_id for item in self._history) self._history = self._get_new_history(self._history, event.item) if is_new: new_item = next( item for item in self._history if item.item_id == event.item.item_id ) - await self._emit_event(RealtimeHistoryAdded(info=self._event_info, item=new_item)) + await self._put_event(RealtimeHistoryAdded(info=self._event_info, item=new_item)) else: - await self._emit_event( + await self._put_event( RealtimeHistoryUpdated(info=self._event_info, history=self._history) ) - pass elif event.type == "item_deleted": deleted_id = event.item_id self._history = [item for item in self._history if item.item_id != deleted_id] - await self._emit_event( + await self._put_event( RealtimeHistoryUpdated(info=self._event_info, history=self._history) ) elif event.type == "connection_status": pass elif event.type == "turn_started": - await self._emit_event( + await self._put_event( RealtimeAgentStartEvent( agent=self._current_agent, info=self._event_info, ) ) elif event.type == "turn_ended": - await self._emit_event( + await self._put_event( RealtimeAgentEndEvent( agent=self._current_agent, info=self._event_info, @@ -280,17 +208,18 @@ async def on_event(self, event: RealtimeTransportEvent) -> None: else: assert_never(event) - async def _emit_event(self, event: RealtimeSessionEvent) -> None: - """Emit an event to the listeners.""" - await asyncio.gather(*[listener.on_event(event) for listener in self._listeners]) + async def _put_event(self, event: RealtimeSessionEvent) -> None: + """Put an event into the queue.""" + await self._event_queue.put(event) - async def _handle_tool_call(self, event: RealtimeTransportToolCallEvent) -> None: + async def _handle_tool_call(self, event: RealtimeModelToolCallEvent) -> None: + """Handle a tool call event.""" all_tools = await self._current_agent.get_all_tools(self._context_wrapper) function_map = {tool.name: tool for tool in all_tools if isinstance(tool, FunctionTool)} handoff_map = {tool.name: tool for tool in all_tools if isinstance(tool, Handoff)} if event.name in function_map: - await self._emit_event( + await self._put_event( RealtimeToolStart( info=self._event_info, tool=function_map[event.name], @@ -302,9 +231,9 @@ async def _handle_tool_call(self, event: RealtimeTransportToolCallEvent) -> None tool_context = ToolContext.from_agent_context(self._context_wrapper, event.call_id) result = await func_tool.on_invoke_tool(tool_context, event.arguments) - await self._transport.send_tool_output(event, str(result), True) + await self._model.send_tool_output(event, str(result), True) - await self._emit_event( + await self._put_event( RealtimeToolEnd( info=self._event_info, tool=func_tool, @@ -322,10 +251,10 @@ async def _handle_tool_call(self, event: RealtimeTransportToolCallEvent) -> None def _get_new_history( self, old_history: list[RealtimeItem], - event: RealtimeTransportInputAudioTranscriptionCompletedEvent | RealtimeItem, + event: RealtimeModelInputAudioTranscriptionCompletedEvent | RealtimeItem, ) -> list[RealtimeItem]: # Merge transcript into placeholder input_audio message. - if isinstance(event, RealtimeTransportInputAudioTranscriptionCompletedEvent): + if isinstance(event, RealtimeModelInputAudioTranscriptionCompletedEvent): new_history: list[RealtimeItem] = [] for item in old_history: if item.item_id == event.item_id and item.type == "message" and item.role == "user": @@ -355,7 +284,7 @@ def _get_new_history( new_history[existing_index] = event return new_history # Otherwise, insert it after the previous_item_id if that is set - elif item.previous_item_id: + elif event.previous_item_id: # Insert the new item after the previous item previous_index = next( (i for i, item in enumerate(old_history) if item.item_id == event.previous_item_id), diff --git a/src/agents/realtime/transport.py b/src/agents/realtime/transport.py deleted file mode 100644 index 18290d128..000000000 --- a/src/agents/realtime/transport.py +++ /dev/null @@ -1,107 +0,0 @@ -import abc -from typing import Any, Literal, Union - -from typing_extensions import NotRequired, TypeAlias, TypedDict - -from .config import APIKeyOrKeyFunc, RealtimeClientMessage, RealtimeSessionConfig, RealtimeUserInput -from .transport_events import RealtimeTransportEvent, RealtimeTransportToolCallEvent - -RealtimeModelName: TypeAlias = Union[ - Literal[ - "gpt-4o-realtime-preview", - "gpt-4o-mini-realtime-preview", - "gpt-4o-realtime-preview-2025-06-03", - "gpt-4o-realtime-preview-2024-12-17", - "gpt-4o-realtime-preview-2024-10-01", - "gpt-4o-mini-realtime-preview-2024-12-17", - ], - str, -] -"""The name of a realtime model.""" - - -class RealtimeTransportListener(abc.ABC): - """A listener for realtime transport events.""" - - @abc.abstractmethod - async def on_event(self, event: RealtimeTransportEvent) -> None: - """Called when an event is emitted by the realtime transport.""" - pass - - -class RealtimeTransportConnectionOptions(TypedDict): - """Options for connecting to a realtime transport.""" - - api_key: NotRequired[APIKeyOrKeyFunc] - """The API key to use for the transport. If unset, the transport will attempt to use the - `OPENAI_API_KEY` environment variable. - """ - - model: NotRequired[str] - """The model to use.""" - - url: NotRequired[str] - """The URL to use for the transport. If unset, the transport will use the default OpenAI - WebSocket URL. - """ - - initial_session_config: NotRequired[RealtimeSessionConfig] - - -class RealtimeSessionTransport(abc.ABC): - """A transport layer for realtime sessions.""" - - @abc.abstractmethod - async def connect(self, options: RealtimeTransportConnectionOptions) -> None: - """Establish a connection to the model and keep it alive.""" - pass - - @abc.abstractmethod - def add_listener(self, listener: RealtimeTransportListener) -> None: - """Add a listener to the transport.""" - pass - - @abc.abstractmethod - async def remove_listener(self, listener: RealtimeTransportListener) -> None: - """Remove a listener from the transport.""" - pass - - @abc.abstractmethod - async def send_event(self, event: RealtimeClientMessage) -> None: - """Send an event to the model.""" - pass - - @abc.abstractmethod - async def send_message( - self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None - ) -> None: - """Send a message to the model.""" - pass - - @abc.abstractmethod - async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: - """Send a raw audio chunk to the model. - - Args: - audio: The audio data to send. - commit: Whether to commit the audio buffer to the model. If the model does not do turn - detection, this can be used to indicate the turn is completed. - """ - pass - - @abc.abstractmethod - async def send_tool_output( - self, tool_call: RealtimeTransportToolCallEvent, output: str, start_response: bool - ) -> None: - """Send tool output to the model.""" - pass - - @abc.abstractmethod - async def interrupt(self) -> None: - """Interrupt the model. For example, could be triggered by a guardrail.""" - pass - - @abc.abstractmethod - async def close(self) -> None: - """Close the session.""" - pass diff --git a/tests/realtime/test_transport_events.py b/tests/realtime/test_model_events.py similarity index 68% rename from tests/realtime/test_transport_events.py rename to tests/realtime/test_model_events.py index 2219303d0..b8696cc29 100644 --- a/tests/realtime/test_transport_events.py +++ b/tests/realtime/test_model_events.py @@ -1,11 +1,11 @@ from typing import get_args -from agents.realtime.transport_events import RealtimeTransportEvent +from agents.realtime.model_events import RealtimeModelEvent def test_all_events_have_type() -> None: """Test that all events have a type.""" - events = get_args(RealtimeTransportEvent) + events = get_args(RealtimeModelEvent) assert len(events) > 0 for event in events: assert event.type is not None From 84469714e01d8512b96fc8117b194f05c29c69f5 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 20:26:35 -0400 Subject: [PATCH 193/337] Tests for realtime runner --- tests/realtime/test_runner.py | 224 ++++++++++++++++++++++++++++++++++ 1 file changed, 224 insertions(+) create mode 100644 tests/realtime/test_runner.py diff --git a/tests/realtime/test_runner.py b/tests/realtime/test_runner.py new file mode 100644 index 000000000..d656f6bf3 --- /dev/null +++ b/tests/realtime/test_runner.py @@ -0,0 +1,224 @@ +from unittest.mock import AsyncMock, Mock, patch + +import pytest +from inline_snapshot import snapshot + +from agents.realtime.agent import RealtimeAgent +from agents.realtime.config import RealtimeRunConfig, RealtimeSessionModelSettings +from agents.realtime.model import RealtimeModel, RealtimeModelConfig +from agents.realtime.runner import RealtimeRunner +from agents.realtime.session import RealtimeSession + + +class MockRealtimeModel(RealtimeModel): + async def connect(self, options=None): + pass + + def add_listener(self, listener): + pass + + def remove_listener(self, listener): + pass + + async def send_event(self, event): + pass + + async def send_message(self, message): + pass + + async def send_audio(self, audio, commit=False): + pass + + async def send_tool_output(self, tool_call, output, start_response=True): + pass + + async def interrupt(self): + pass + + async def close(self): + pass + + +@pytest.fixture +def mock_agent(): + agent = Mock(spec=RealtimeAgent) + agent.get_system_prompt = AsyncMock(return_value="Test instructions") + agent.get_all_tools = AsyncMock(return_value=[{"type": "function", "name": "test_tool"}]) + return agent + + +@pytest.fixture +def mock_model(): + return MockRealtimeModel() + + +@pytest.mark.asyncio +async def test_run_creates_session_with_no_settings(mock_agent, mock_model): + """Test that run() creates a session correctly if no settings are provided""" + runner = RealtimeRunner(mock_agent, model=mock_model) + + with patch("agents.realtime.runner.RealtimeSession") as mock_session_class: + mock_session = Mock(spec=RealtimeSession) + mock_session_class.return_value = mock_session + + session = await runner.run() + + # Verify session was created with correct parameters + mock_session_class.assert_called_once() + call_args = mock_session_class.call_args + + assert call_args[1]["model"] == mock_model + assert call_args[1]["agent"] == mock_agent + assert call_args[1]["context"] is None + + # Verify model_config contains expected settings from agent + model_config = call_args[1]["model_config"] + assert model_config == snapshot( + { + "initial_model_settings": { + "instructions": "Test instructions", + "tools": [{"type": "function", "name": "test_tool"}], + } + } + ) + + assert session == mock_session + + +@pytest.mark.asyncio +async def test_run_creates_session_with_settings_only_in_init(mock_agent, mock_model): + """Test that it creates a session with the right settings if they are provided only in init""" + config = RealtimeRunConfig( + model_settings=RealtimeSessionModelSettings(model_name="gpt-4o-realtime", voice="nova") + ) + runner = RealtimeRunner(mock_agent, model=mock_model, config=config) + + with patch("agents.realtime.runner.RealtimeSession") as mock_session_class: + mock_session = Mock(spec=RealtimeSession) + mock_session_class.return_value = mock_session + + _ = await runner.run() + + # Verify session was created with config overrides + call_args = mock_session_class.call_args + model_config = call_args[1]["model_config"] + + # Should have agent settings plus config overrides + assert model_config == snapshot( + { + "initial_model_settings": { + "instructions": "Test instructions", + "tools": [{"type": "function", "name": "test_tool"}], + "model_name": "gpt-4o-realtime", + "voice": "nova", + } + } + ) + + +@pytest.mark.asyncio +async def test_run_creates_session_with_settings_in_both_init_and_run_overrides( + mock_agent, mock_model +): + """Test settings in both init and run() - init should override run()""" + init_config = RealtimeRunConfig( + model_settings=RealtimeSessionModelSettings(model_name="gpt-4o-realtime", voice="nova") + ) + runner = RealtimeRunner(mock_agent, model=mock_model, config=init_config) + + run_model_config: RealtimeModelConfig = { + "initial_model_settings": RealtimeSessionModelSettings( + voice="alloy", input_audio_format="pcm16" + ) + } + + with patch("agents.realtime.runner.RealtimeSession") as mock_session_class: + mock_session = Mock(spec=RealtimeSession) + mock_session_class.return_value = mock_session + + _ = await runner.run(model_config=run_model_config) + + # Verify run() settings override init settings + call_args = mock_session_class.call_args + model_config = call_args[1]["model_config"] + + # Should have agent settings, then init config, then run config overrides + assert model_config == snapshot( + { + "initial_model_settings": { + "voice": "nova", + "input_audio_format": "pcm16", + "instructions": "Test instructions", + "tools": [{"type": "function", "name": "test_tool"}], + "model_name": "gpt-4o-realtime", + } + } + ) + + +@pytest.mark.asyncio +async def test_run_creates_session_with_settings_only_in_run(mock_agent, mock_model): + """Test settings provided only in run()""" + runner = RealtimeRunner(mock_agent, model=mock_model) + + run_model_config: RealtimeModelConfig = { + "initial_model_settings": RealtimeSessionModelSettings( + model_name="gpt-4o-realtime-preview", voice="shimmer", modalities=["text", "audio"] + ) + } + + with patch("agents.realtime.runner.RealtimeSession") as mock_session_class: + mock_session = Mock(spec=RealtimeSession) + mock_session_class.return_value = mock_session + + _ = await runner.run(model_config=run_model_config) + + # Verify run() settings are applied + call_args = mock_session_class.call_args + model_config = call_args[1]["model_config"] + + # Should have agent settings plus run() settings + assert model_config == snapshot( + { + "initial_model_settings": { + "model_name": "gpt-4o-realtime-preview", + "voice": "shimmer", + "modalities": ["text", "audio"], + "instructions": "Test instructions", + "tools": [{"type": "function", "name": "test_tool"}], + } + } + ) + + +@pytest.mark.asyncio +async def test_run_with_context_parameter(mock_agent, mock_model): + """Test that context parameter is passed through to session""" + runner = RealtimeRunner(mock_agent, model=mock_model) + test_context = {"user_id": "test123"} + + with patch("agents.realtime.runner.RealtimeSession") as mock_session_class: + mock_session = Mock(spec=RealtimeSession) + mock_session_class.return_value = mock_session + + await runner.run(context=test_context) + + call_args = mock_session_class.call_args + assert call_args[1]["context"] == test_context + + +@pytest.mark.asyncio +async def test_get_model_settings_with_none_values(mock_model): + """Test _get_model_settings handles None values from agent properly""" + agent = Mock(spec=RealtimeAgent) + agent.get_system_prompt = AsyncMock(return_value=None) + agent.get_all_tools = AsyncMock(return_value=None) + + runner = RealtimeRunner(agent, model=mock_model) + + with patch("agents.realtime.runner.RealtimeSession"): + await runner.run() + + # Should not crash and agent methods should be called + agent.get_system_prompt.assert_called_once() + agent.get_all_tools.assert_called_once() From 985ed6d0b3ab136db2f23b99c74fa89132b5dcc3 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 20:26:35 -0400 Subject: [PATCH 194/337] Tests for realtime session --- src/agents/realtime/session.py | 18 +- tests/realtime/test_session.py | 938 +++++++++++++++++++++++++++++++++ 2 files changed, 943 insertions(+), 13 deletions(-) create mode 100644 tests/realtime/test_session.py diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index 927e74e9f..df80c063f 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -81,7 +81,6 @@ def __init__( self._model_config = model_config or {} self._event_queue: asyncio.Queue[RealtimeSessionEvent] = asyncio.Queue() self._closed = False - self._background_task: asyncio.Task[None] | None = None async def __aenter__(self) -> RealtimeSession: """Start the session by connecting to the model. After this, you will be able to stream @@ -129,14 +128,6 @@ async def close(self) -> None: self._model.remove_listener(self) await self._model.close() - # Cancel any background tasks - if self._background_task and not self._background_task.done(): - self._background_task.cancel() - try: - await self._background_task - except asyncio.CancelledError: - pass - async def send_message(self, message: RealtimeUserInput) -> None: """Send a message to the model.""" await self._model.send_message(message) @@ -155,8 +146,7 @@ async def on_event(self, event: RealtimeModelEvent) -> None: if event.type == "error": await self._put_event(RealtimeError(info=self._event_info, error=event.error)) elif event.type == "function_call": - # Handle tool calls in the background to avoid blocking event stream - self._background_task = asyncio.create_task(self._handle_tool_call(event)) + await self._handle_tool_call(event) elif event.type == "audio": await self._put_event(RealtimeAudio(info=self._event_info, audio=event)) elif event.type == "audio_interrupted": @@ -164,7 +154,7 @@ async def on_event(self, event: RealtimeModelEvent) -> None: elif event.type == "audio_done": await self._put_event(RealtimeAudioEnd(info=self._event_info)) elif event.type == "conversation.item.input_audio_transcription.completed": - self._history = self._get_new_history(self._history, event) + self._history = RealtimeSession._get_new_history(self._history, event) await self._put_event( RealtimeHistoryUpdated(info=self._event_info, history=self._history) ) @@ -250,8 +240,9 @@ async def _handle_tool_call(self, event: RealtimeModelToolCallEvent) -> None: # TODO (rm) Add error handling pass + @classmethod def _get_new_history( - self, + cls, old_history: list[RealtimeItem], event: RealtimeModelInputAudioTranscriptionCompletedEvent | RealtimeItem, ) -> list[RealtimeItem]: @@ -296,5 +287,6 @@ def _get_new_history( new_history = old_history.copy() new_history.insert(previous_index + 1, event) return new_history + # Otherwise, add it to the end return old_history + [event] diff --git a/tests/realtime/test_session.py b/tests/realtime/test_session.py new file mode 100644 index 000000000..d7fa1271c --- /dev/null +++ b/tests/realtime/test_session.py @@ -0,0 +1,938 @@ +from unittest.mock import AsyncMock, Mock + +import pytest + +from agents.handoffs import Handoff +from agents.realtime.agent import RealtimeAgent +from agents.realtime.events import ( + RealtimeAgentEndEvent, + RealtimeAgentStartEvent, + RealtimeAudio, + RealtimeAudioEnd, + RealtimeAudioInterrupted, + RealtimeError, + RealtimeHistoryAdded, + RealtimeHistoryUpdated, + RealtimeRawModelEvent, + RealtimeToolEnd, + RealtimeToolStart, +) +from agents.realtime.items import ( + AssistantMessageItem, + AssistantText, + InputAudio, + InputText, + UserMessageItem, +) +from agents.realtime.model import RealtimeModel +from agents.realtime.model_events import ( + RealtimeModelAudioDoneEvent, + RealtimeModelAudioEvent, + RealtimeModelAudioInterruptedEvent, + RealtimeModelConnectionStatusEvent, + RealtimeModelErrorEvent, + RealtimeModelInputAudioTranscriptionCompletedEvent, + RealtimeModelItemDeletedEvent, + RealtimeModelItemUpdatedEvent, + RealtimeModelOtherEvent, + RealtimeModelToolCallEvent, + RealtimeModelTranscriptDeltaEvent, + RealtimeModelTurnEndedEvent, + RealtimeModelTurnStartedEvent, +) +from agents.realtime.session import RealtimeSession +from agents.tool import FunctionTool +from agents.tool_context import ToolContext + + +class MockRealtimeModel(RealtimeModel): + def __init__(self): + super().__init__() + self.listeners = [] + self.connect_called = False + self.close_called = False + self.sent_messages = [] + self.sent_audio = [] + self.sent_tool_outputs = [] + self.interrupts_called = 0 + + async def connect(self, options=None): + self.connect_called = True + + def add_listener(self, listener): + self.listeners.append(listener) + + def remove_listener(self, listener): + if listener in self.listeners: + self.listeners.remove(listener) + + async def send_event(self, event): + pass + + async def send_message(self, message, other_event_data): + self.sent_messages.append(message) + + async def send_audio(self, audio, commit=False): + self.sent_audio.append((audio, commit)) + + async def send_tool_output(self, tool_call, output, start_response=True): + self.sent_tool_outputs.append((tool_call, output, start_response)) + + async def interrupt(self): + self.interrupts_called += 1 + + async def close(self): + self.close_called = True + + +@pytest.fixture +def mock_agent(): + agent = Mock(spec=RealtimeAgent) + agent.get_all_tools = AsyncMock(return_value=[]) + return agent + + +@pytest.fixture +def mock_model(): + return MockRealtimeModel() + + +@pytest.fixture +def mock_function_tool(): + tool = Mock(spec=FunctionTool) + tool.name = "test_function" + tool.on_invoke_tool = AsyncMock(return_value="function_result") + return tool + + +@pytest.fixture +def mock_handoff(): + handoff = Mock(spec=Handoff) + handoff.name = "test_handoff" + return handoff + + +class TestEventHandling: + """Test suite for event handling and transformation in RealtimeSession.on_event""" + + @pytest.mark.asyncio + async def test_error_event_transformation(self, mock_model, mock_agent): + """Test that error events are properly transformed and queued""" + session = RealtimeSession(mock_model, mock_agent, None) + + error_event = RealtimeModelErrorEvent(error="Test error") + + await session.on_event(error_event) + + # Check that events were queued + assert session._event_queue.qsize() == 2 + + # First event should be raw model event + raw_event = await session._event_queue.get() + assert isinstance(raw_event, RealtimeRawModelEvent) + assert raw_event.data == error_event + + # Second event should be transformed error event + error_session_event = await session._event_queue.get() + assert isinstance(error_session_event, RealtimeError) + assert error_session_event.error == "Test error" + + @pytest.mark.asyncio + async def test_audio_events_transformation(self, mock_model, mock_agent): + """Test that audio-related events are properly transformed""" + session = RealtimeSession(mock_model, mock_agent, None) + + # Test audio event + audio_event = RealtimeModelAudioEvent(data=b"audio_data", response_id="resp_1") + await session.on_event(audio_event) + + # Test audio interrupted event + interrupted_event = RealtimeModelAudioInterruptedEvent() + await session.on_event(interrupted_event) + + # Test audio done event + done_event = RealtimeModelAudioDoneEvent() + await session.on_event(done_event) + + # Should have 6 events total (2 per event: raw + transformed) + assert session._event_queue.qsize() == 6 + + # Check audio event transformation + await session._event_queue.get() # raw event + audio_session_event = await session._event_queue.get() + assert isinstance(audio_session_event, RealtimeAudio) + assert audio_session_event.audio == audio_event + + # Check audio interrupted transformation + await session._event_queue.get() # raw event + interrupted_session_event = await session._event_queue.get() + assert isinstance(interrupted_session_event, RealtimeAudioInterrupted) + + # Check audio done transformation + await session._event_queue.get() # raw event + done_session_event = await session._event_queue.get() + assert isinstance(done_session_event, RealtimeAudioEnd) + + @pytest.mark.asyncio + async def test_turn_events_transformation(self, mock_model, mock_agent): + """Test that turn start/end events are properly transformed""" + session = RealtimeSession(mock_model, mock_agent, None) + + # Test turn started event + turn_started = RealtimeModelTurnStartedEvent() + await session.on_event(turn_started) + + # Test turn ended event + turn_ended = RealtimeModelTurnEndedEvent() + await session.on_event(turn_ended) + + # Should have 4 events total (2 per event: raw + transformed) + assert session._event_queue.qsize() == 4 + + # Check turn started transformation + await session._event_queue.get() # raw event + start_session_event = await session._event_queue.get() + assert isinstance(start_session_event, RealtimeAgentStartEvent) + assert start_session_event.agent == mock_agent + + # Check turn ended transformation + await session._event_queue.get() # raw event + end_session_event = await session._event_queue.get() + assert isinstance(end_session_event, RealtimeAgentEndEvent) + assert end_session_event.agent == mock_agent + + @pytest.mark.asyncio + async def test_transcription_completed_event_updates_history(self, mock_model, mock_agent): + """Test that transcription completed events update history and emit events""" + session = RealtimeSession(mock_model, mock_agent, None) + + # Set up initial history with an audio message + initial_item = UserMessageItem( + item_id="item_1", role="user", content=[InputAudio(transcript=None)] + ) + session._history = [initial_item] + + # Create transcription completed event + transcription_event = RealtimeModelInputAudioTranscriptionCompletedEvent( + item_id="item_1", transcript="Hello world" + ) + + await session.on_event(transcription_event) + + # Check that history was updated + assert len(session._history) == 1 + updated_item = session._history[0] + assert updated_item.content[0].transcript == "Hello world" # type: ignore + assert updated_item.status == "completed" # type: ignore + + # Should have 2 events: raw + history updated + assert session._event_queue.qsize() == 2 + + await session._event_queue.get() # raw event + history_event = await session._event_queue.get() + assert isinstance(history_event, RealtimeHistoryUpdated) + assert len(history_event.history) == 1 + + @pytest.mark.asyncio + async def test_item_updated_event_adds_new_item(self, mock_model, mock_agent): + """Test that item_updated events add new items to history""" + session = RealtimeSession(mock_model, mock_agent, None) + + new_item = AssistantMessageItem( + item_id="new_item", role="assistant", content=[AssistantText(text="Hello")] + ) + + item_updated_event = RealtimeModelItemUpdatedEvent(item=new_item) + + await session.on_event(item_updated_event) + + # Check that item was added to history + assert len(session._history) == 1 + assert session._history[0] == new_item + + # Should have 2 events: raw + history added + assert session._event_queue.qsize() == 2 + + await session._event_queue.get() # raw event + history_event = await session._event_queue.get() + assert isinstance(history_event, RealtimeHistoryAdded) + assert history_event.item == new_item + + @pytest.mark.asyncio + async def test_item_updated_event_updates_existing_item(self, mock_model, mock_agent): + """Test that item_updated events update existing items in history""" + session = RealtimeSession(mock_model, mock_agent, None) + + # Set up initial history + initial_item = AssistantMessageItem( + item_id="existing_item", role="assistant", content=[AssistantText(text="Initial")] + ) + session._history = [initial_item] + + # Create updated version + updated_item = AssistantMessageItem( + item_id="existing_item", role="assistant", content=[AssistantText(text="Updated")] + ) + + item_updated_event = RealtimeModelItemUpdatedEvent(item=updated_item) + + await session.on_event(item_updated_event) + + # Check that item was updated + assert len(session._history) == 1 + assert session._history[0].content[0].text == "Updated" + + # Should have 2 events: raw + history updated (not added) + assert session._event_queue.qsize() == 2 + + await session._event_queue.get() # raw event + history_event = await session._event_queue.get() + assert isinstance(history_event, RealtimeHistoryUpdated) + + @pytest.mark.asyncio + async def test_item_deleted_event_removes_item(self, mock_model, mock_agent): + """Test that item_deleted events remove items from history""" + session = RealtimeSession(mock_model, mock_agent, None) + + # Set up initial history with multiple items + item1 = AssistantMessageItem( + item_id="item_1", role="assistant", content=[AssistantText(text="First")] + ) + item2 = AssistantMessageItem( + item_id="item_2", role="assistant", content=[AssistantText(text="Second")] + ) + session._history = [item1, item2] + + # Delete first item + delete_event = RealtimeModelItemDeletedEvent(item_id="item_1") + + await session.on_event(delete_event) + + # Check that item was removed + assert len(session._history) == 1 + assert session._history[0].item_id == "item_2" + + # Should have 2 events: raw + history updated + assert session._event_queue.qsize() == 2 + + await session._event_queue.get() # raw event + history_event = await session._event_queue.get() + assert isinstance(history_event, RealtimeHistoryUpdated) + assert len(history_event.history) == 1 + + @pytest.mark.asyncio + async def test_ignored_events_only_generate_raw_events(self, mock_model, mock_agent): + """Test that ignored events (transcript_delta, connection_status, other) only generate raw + events""" + session = RealtimeSession(mock_model, mock_agent, None) + + # Test transcript delta (should be ignored per TODO comment) + transcript_event = RealtimeModelTranscriptDeltaEvent( + item_id="item_1", delta="hello", response_id="resp_1" + ) + await session.on_event(transcript_event) + + # Test connection status (should be ignored) + connection_event = RealtimeModelConnectionStatusEvent(status="connected") + await session.on_event(connection_event) + + # Test other event (should be ignored) + other_event = RealtimeModelOtherEvent(data={"custom": "data"}) + await session.on_event(other_event) + + # Should only have 3 raw events (no transformed events) + assert session._event_queue.qsize() == 3 + + for _ in range(3): + event = await session._event_queue.get() + assert isinstance(event, RealtimeRawModelEvent) + + @pytest.mark.asyncio + async def test_function_call_event_triggers_tool_handling(self, mock_model, mock_agent): + """Test that function_call events trigger tool call handling""" + session = RealtimeSession(mock_model, mock_agent, None) + + # Create function call event + function_call_event = RealtimeModelToolCallEvent( + name="test_function", call_id="call_123", arguments='{"param": "value"}' + ) + + # We'll test the detailed tool handling in a separate test class + # Here we just verify that it gets to the handler + with pytest.MonkeyPatch().context() as m: + handle_tool_call_mock = AsyncMock() + m.setattr(session, "_handle_tool_call", handle_tool_call_mock) + + await session.on_event(function_call_event) + + # Should have called the tool handler + handle_tool_call_mock.assert_called_once_with(function_call_event) + + # Should still have raw event + assert session._event_queue.qsize() == 1 + raw_event = await session._event_queue.get() + assert isinstance(raw_event, RealtimeRawModelEvent) + assert raw_event.data == function_call_event + + +class TestHistoryManagement: + """Test suite for history management and audio transcription in + RealtimeSession._get_new_history""" + + def test_merge_transcript_into_existing_audio_message(self): + """Test merging audio transcript into existing placeholder input_audio message""" + # Create initial history with audio message without transcript + initial_item = UserMessageItem( + item_id="item_1", + role="user", + content=[ + InputText(text="Before audio"), + InputAudio(transcript=None, audio="audio_data"), + InputText(text="After audio"), + ], + ) + old_history = [initial_item] + + # Create transcription completed event + transcription_event = RealtimeModelInputAudioTranscriptionCompletedEvent( + item_id="item_1", transcript="Hello world" + ) + + # Apply the history update + new_history = RealtimeSession._get_new_history(old_history, transcription_event) + + # Verify the transcript was merged + assert len(new_history) == 1 + updated_item = new_history[0] + assert updated_item.item_id == "item_1" + assert updated_item.status == "completed" + assert len(updated_item.content) == 3 + + # Check that audio content got transcript but other content unchanged + assert updated_item.content[0].text == "Before audio" + assert updated_item.content[1].transcript == "Hello world" + assert updated_item.content[1].audio == "audio_data" # Should preserve audio data + assert updated_item.content[2].text == "After audio" + + def test_merge_transcript_preserves_other_items(self): + """Test that merging transcript preserves other items in history""" + # Create history with multiple items + item1 = UserMessageItem( + item_id="item_1", role="user", content=[InputText(text="First message")] + ) + item2 = UserMessageItem( + item_id="item_2", role="user", content=[InputAudio(transcript=None)] + ) + item3 = AssistantMessageItem( + item_id="item_3", role="assistant", content=[AssistantText(text="Third message")] + ) + old_history = [item1, item2, item3] + + # Create transcription event for item_2 + transcription_event = RealtimeModelInputAudioTranscriptionCompletedEvent( + item_id="item_2", transcript="Transcribed audio" + ) + + new_history = RealtimeSession._get_new_history(old_history, transcription_event) + + # Should have same number of items + assert len(new_history) == 3 + + # First and third items should be unchanged + assert new_history[0] == item1 + assert new_history[2] == item3 + + # Second item should have transcript + assert new_history[1].item_id == "item_2" + assert new_history[1].content[0].transcript == "Transcribed audio" + assert new_history[1].status == "completed" + + def test_merge_transcript_only_affects_matching_audio_content(self): + """Test that transcript merge only affects audio content, not text content""" + # Create item with mixed content including multiple audio items + item = UserMessageItem( + item_id="item_1", + role="user", + content=[ + InputText(text="Text content"), + InputAudio(transcript=None, audio="audio1"), + InputAudio(transcript="existing", audio="audio2"), + InputText(text="More text"), + ], + ) + old_history = [item] + + transcription_event = RealtimeModelInputAudioTranscriptionCompletedEvent( + item_id="item_1", transcript="New transcript" + ) + + new_history = RealtimeSession._get_new_history(old_history, transcription_event) + + updated_item = new_history[0] + + # Text content should be unchanged + assert updated_item.content[0].text == "Text content" + assert updated_item.content[3].text == "More text" + + # All audio content should have the new transcript (current implementation overwrites all) + assert updated_item.content[1].transcript == "New transcript" + assert ( + updated_item.content[2].transcript == "New transcript" + ) # Implementation overwrites existing + + def test_update_existing_item_by_id(self): + """Test updating an existing item by item_id""" + # Create initial history + original_item = AssistantMessageItem( + item_id="item_1", role="assistant", content=[AssistantText(text="Original")] + ) + old_history = [original_item] + + # Create updated version of same item + updated_item = AssistantMessageItem( + item_id="item_1", role="assistant", content=[AssistantText(text="Updated")] + ) + + new_history = RealtimeSession._get_new_history(old_history, updated_item) + + # Should have same number of items + assert len(new_history) == 1 + + # Item should be updated + assert new_history[0].item_id == "item_1" + assert new_history[0].content[0].text == "Updated" + + def test_update_existing_item_preserves_order(self): + """Test that updating existing item preserves its position in history""" + # Create history with multiple items + item1 = AssistantMessageItem( + item_id="item_1", role="assistant", content=[AssistantText(text="First")] + ) + item2 = AssistantMessageItem( + item_id="item_2", role="assistant", content=[AssistantText(text="Second")] + ) + item3 = AssistantMessageItem( + item_id="item_3", role="assistant", content=[AssistantText(text="Third")] + ) + old_history = [item1, item2, item3] + + # Update middle item + updated_item2 = AssistantMessageItem( + item_id="item_2", role="assistant", content=[AssistantText(text="Updated Second")] + ) + + new_history = RealtimeSession._get_new_history(old_history, updated_item2) + + # Should have same number of items in same order + assert len(new_history) == 3 + assert new_history[0].item_id == "item_1" + assert new_history[1].item_id == "item_2" + assert new_history[2].item_id == "item_3" + + # Middle item should be updated + assert new_history[1].content[0].text == "Updated Second" + + # Other items should be unchanged + assert new_history[0].content[0].text == "First" + assert new_history[2].content[0].text == "Third" + + def test_insert_new_item_after_previous_item(self): + """Test inserting new item after specified previous_item_id""" + # Create initial history + item1 = AssistantMessageItem( + item_id="item_1", role="assistant", content=[AssistantText(text="First")] + ) + item3 = AssistantMessageItem( + item_id="item_3", role="assistant", content=[AssistantText(text="Third")] + ) + old_history = [item1, item3] + + # Create new item to insert between them + new_item = AssistantMessageItem( + item_id="item_2", + previous_item_id="item_1", + role="assistant", + content=[AssistantText(text="Second")], + ) + + new_history = RealtimeSession._get_new_history(old_history, new_item) + + # Should have one more item + assert len(new_history) == 3 + + # Items should be in correct order + assert new_history[0].item_id == "item_1" + assert new_history[1].item_id == "item_2" + assert new_history[2].item_id == "item_3" + + # Content should be correct + assert new_history[1].content[0].text == "Second" + + def test_insert_new_item_after_nonexistent_previous_item(self): + """Test that item with nonexistent previous_item_id gets added to end""" + # Create initial history + item1 = AssistantMessageItem( + item_id="item_1", role="assistant", content=[AssistantText(text="First")] + ) + old_history = [item1] + + # Create new item with nonexistent previous_item_id + new_item = AssistantMessageItem( + item_id="item_2", + previous_item_id="nonexistent", + role="assistant", + content=[AssistantText(text="Second")], + ) + + new_history = RealtimeSession._get_new_history(old_history, new_item) + + # Should add to end when previous_item_id not found + assert len(new_history) == 2 + assert new_history[0].item_id == "item_1" + assert new_history[1].item_id == "item_2" + + def test_add_new_item_to_end_when_no_previous_item_id(self): + """Test adding new item to end when no previous_item_id is specified""" + # Create initial history + item1 = AssistantMessageItem( + item_id="item_1", role="assistant", content=[AssistantText(text="First")] + ) + old_history = [item1] + + # Create new item without previous_item_id + new_item = AssistantMessageItem( + item_id="item_2", role="assistant", content=[AssistantText(text="Second")] + ) + + new_history = RealtimeSession._get_new_history(old_history, new_item) + + # Should add to end + assert len(new_history) == 2 + assert new_history[0].item_id == "item_1" + assert new_history[1].item_id == "item_2" + + def test_add_first_item_to_empty_history(self): + """Test adding first item to empty history""" + old_history = [] + + new_item = AssistantMessageItem( + item_id="item_1", role="assistant", content=[AssistantText(text="First")] + ) + + new_history = RealtimeSession._get_new_history(old_history, new_item) + + assert len(new_history) == 1 + assert new_history[0].item_id == "item_1" + + def test_complex_insertion_scenario(self): + """Test complex scenario with multiple insertions and updates""" + # Start with items A and C + itemA = AssistantMessageItem( + item_id="A", role="assistant", content=[AssistantText(text="A")] + ) + itemC = AssistantMessageItem( + item_id="C", role="assistant", content=[AssistantText(text="C")] + ) + history = [itemA, itemC] + + # Insert B after A + itemB = AssistantMessageItem( + item_id="B", previous_item_id="A", role="assistant", content=[AssistantText(text="B")] + ) + history = RealtimeSession._get_new_history(history, itemB) + + # Should be A, B, C + assert len(history) == 3 + assert [item.item_id for item in history] == ["A", "B", "C"] + + # Insert D after B + itemD = AssistantMessageItem( + item_id="D", previous_item_id="B", role="assistant", content=[AssistantText(text="D")] + ) + history = RealtimeSession._get_new_history(history, itemD) + + # Should be A, B, D, C + assert len(history) == 4 + assert [item.item_id for item in history] == ["A", "B", "D", "C"] + + # Update B + updated_itemB = AssistantMessageItem( + item_id="B", role="assistant", content=[AssistantText(text="Updated B")] + ) + history = RealtimeSession._get_new_history(history, updated_itemB) + + # Should still be A, B, D, C but B is updated + assert len(history) == 4 + assert [item.item_id for item in history] == ["A", "B", "D", "C"] + assert history[1].content[0].text == "Updated B" + + +# Test 3: Tool call execution flow (_handle_tool_call method) +class TestToolCallExecution: + """Test suite for tool call execution flow in RealtimeSession._handle_tool_call""" + + @pytest.mark.asyncio + async def test_function_tool_execution_success( + self, mock_model, mock_agent, mock_function_tool + ): + """Test successful function tool execution""" + # Set up agent to return our mock tool + mock_agent.get_all_tools.return_value = [mock_function_tool] + + session = RealtimeSession(mock_model, mock_agent, None) + + # Create function call event + tool_call_event = RealtimeModelToolCallEvent( + name="test_function", call_id="call_123", arguments='{"param": "value"}' + ) + + await session._handle_tool_call(tool_call_event) + + # Verify the flow + mock_agent.get_all_tools.assert_called_once() + mock_function_tool.on_invoke_tool.assert_called_once() + + # Check the tool context was created correctly + call_args = mock_function_tool.on_invoke_tool.call_args + tool_context = call_args[0][0] + assert isinstance(tool_context, ToolContext) + assert call_args[0][1] == '{"param": "value"}' + + # Verify tool output was sent to model + assert len(mock_model.sent_tool_outputs) == 1 + sent_call, sent_output, start_response = mock_model.sent_tool_outputs[0] + assert sent_call == tool_call_event + assert sent_output == "function_result" + assert start_response is True + + # Verify events were queued + assert session._event_queue.qsize() == 2 + + # Check tool start event + tool_start_event = await session._event_queue.get() + assert isinstance(tool_start_event, RealtimeToolStart) + assert tool_start_event.tool == mock_function_tool + assert tool_start_event.agent == mock_agent + + # Check tool end event + tool_end_event = await session._event_queue.get() + assert isinstance(tool_end_event, RealtimeToolEnd) + assert tool_end_event.tool == mock_function_tool + assert tool_end_event.output == "function_result" + assert tool_end_event.agent == mock_agent + + @pytest.mark.asyncio + async def test_function_tool_with_multiple_tools_available(self, mock_model, mock_agent): + """Test function tool execution when multiple tools are available""" + # Create multiple mock tools + tool1 = Mock(spec=FunctionTool) + tool1.name = "tool_one" + tool1.on_invoke_tool = AsyncMock(return_value="result_one") + + tool2 = Mock(spec=FunctionTool) + tool2.name = "tool_two" + tool2.on_invoke_tool = AsyncMock(return_value="result_two") + + handoff = Mock(spec=Handoff) + handoff.name = "handoff_tool" + + # Set up agent to return all tools + mock_agent.get_all_tools.return_value = [tool1, tool2, handoff] + + session = RealtimeSession(mock_model, mock_agent, None) + + # Call tool_two + tool_call_event = RealtimeModelToolCallEvent( + name="tool_two", call_id="call_456", arguments='{"test": "data"}' + ) + + await session._handle_tool_call(tool_call_event) + + # Only tool2 should have been called + tool1.on_invoke_tool.assert_not_called() + tool2.on_invoke_tool.assert_called_once() + + # Verify correct result was sent + sent_call, sent_output, _ = mock_model.sent_tool_outputs[0] + assert sent_output == "result_two" + + @pytest.mark.asyncio + async def test_handoff_tool_handling_todo(self, mock_model, mock_agent, mock_handoff): + """Test that handoff tools are recognized but not yet implemented""" + # Set up agent to return handoff tool + mock_agent.get_all_tools.return_value = [mock_handoff] + + session = RealtimeSession(mock_model, mock_agent, None) + + tool_call_event = RealtimeModelToolCallEvent( + name="test_handoff", call_id="call_789", arguments="{}" + ) + + await session._handle_tool_call(tool_call_event) + + # Should not have sent any tool outputs (handoffs not implemented) + assert len(mock_model.sent_tool_outputs) == 0 + + # Should not have queued any events (handoffs not implemented) + assert session._event_queue.qsize() == 0 + + @pytest.mark.asyncio + async def test_unknown_tool_handling_todo(self, mock_model, mock_agent, mock_function_tool): + """Test that unknown tools are handled gracefully (TODO: add error handling)""" + # Set up agent to return different tool than what's called + mock_function_tool.name = "known_tool" + mock_agent.get_all_tools.return_value = [mock_function_tool] + + session = RealtimeSession(mock_model, mock_agent, None) + + # Call unknown tool + tool_call_event = RealtimeModelToolCallEvent( + name="unknown_tool", call_id="call_unknown", arguments="{}" + ) + + await session._handle_tool_call(tool_call_event) + + # Should not have called any tools + mock_function_tool.on_invoke_tool.assert_not_called() + + # Should not have sent any tool outputs + assert len(mock_model.sent_tool_outputs) == 0 + + # Should not have queued any events + assert session._event_queue.qsize() == 0 + + @pytest.mark.asyncio + async def test_function_tool_exception_handling( + self, mock_model, mock_agent, mock_function_tool + ): + """Test that exceptions in function tools are handled (currently they propagate)""" + # Set up tool to raise exception + mock_function_tool.on_invoke_tool.side_effect = ValueError("Tool error") + mock_agent.get_all_tools.return_value = [mock_function_tool] + + session = RealtimeSession(mock_model, mock_agent, None) + + tool_call_event = RealtimeModelToolCallEvent( + name="test_function", call_id="call_error", arguments="{}" + ) + + # Currently exceptions propagate (no error handling implemented) + with pytest.raises(ValueError, match="Tool error"): + await session._handle_tool_call(tool_call_event) + + # Tool start event should have been queued before the error + assert session._event_queue.qsize() == 1 + tool_start_event = await session._event_queue.get() + assert isinstance(tool_start_event, RealtimeToolStart) + + # But no tool output should have been sent and no end event queued + assert len(mock_model.sent_tool_outputs) == 0 + + @pytest.mark.asyncio + async def test_tool_call_with_complex_arguments( + self, mock_model, mock_agent, mock_function_tool + ): + """Test tool call with complex JSON arguments""" + mock_agent.get_all_tools.return_value = [mock_function_tool] + + session = RealtimeSession(mock_model, mock_agent, None) + + # Complex arguments + complex_args = '{"nested": {"data": [1, 2, 3]}, "bool": true, "null": null}' + + tool_call_event = RealtimeModelToolCallEvent( + name="test_function", call_id="call_complex", arguments=complex_args + ) + + await session._handle_tool_call(tool_call_event) + + # Verify arguments were passed correctly + call_args = mock_function_tool.on_invoke_tool.call_args + assert call_args[0][1] == complex_args + + @pytest.mark.asyncio + async def test_tool_call_with_custom_call_id(self, mock_model, mock_agent, mock_function_tool): + """Test that tool context receives correct call_id""" + mock_agent.get_all_tools.return_value = [mock_function_tool] + + session = RealtimeSession(mock_model, mock_agent, None) + + custom_call_id = "custom_call_id_12345" + + tool_call_event = RealtimeModelToolCallEvent( + name="test_function", call_id=custom_call_id, arguments="{}" + ) + + await session._handle_tool_call(tool_call_event) + + # Verify tool context was created with correct call_id + call_args = mock_function_tool.on_invoke_tool.call_args + tool_context = call_args[0][0] + # The call_id is used internally in ToolContext.from_agent_context + # We can't directly access it, but we can verify the context was created + assert isinstance(tool_context, ToolContext) + + @pytest.mark.asyncio + async def test_tool_result_conversion_to_string(self, mock_model, mock_agent): + """Test that tool results are converted to strings for model output""" + # Create tool that returns non-string result + tool = Mock(spec=FunctionTool) + tool.name = "test_function" + tool.on_invoke_tool = AsyncMock(return_value={"result": "data", "count": 42}) + + mock_agent.get_all_tools.return_value = [tool] + + session = RealtimeSession(mock_model, mock_agent, None) + + tool_call_event = RealtimeModelToolCallEvent( + name="test_function", call_id="call_conversion", arguments="{}" + ) + + await session._handle_tool_call(tool_call_event) + + # Verify result was converted to string + sent_call, sent_output, _ = mock_model.sent_tool_outputs[0] + assert isinstance(sent_output, str) + assert sent_output == "{'result': 'data', 'count': 42}" + + @pytest.mark.asyncio + async def test_mixed_tool_types_filtering(self, mock_model, mock_agent): + """Test that function tools and handoffs are properly separated""" + # Create mixed tools + func_tool1 = Mock(spec=FunctionTool) + func_tool1.name = "func1" + func_tool1.on_invoke_tool = AsyncMock(return_value="result1") + + handoff1 = Mock(spec=Handoff) + handoff1.name = "handoff1" + + func_tool2 = Mock(spec=FunctionTool) + func_tool2.name = "func2" + func_tool2.on_invoke_tool = AsyncMock(return_value="result2") + + handoff2 = Mock(spec=Handoff) + handoff2.name = "handoff2" + + # Add some other object that's neither (should be ignored) + other_tool = Mock() + other_tool.name = "other" + + all_tools = [func_tool1, handoff1, func_tool2, handoff2, other_tool] + mock_agent.get_all_tools.return_value = all_tools + + session = RealtimeSession(mock_model, mock_agent, None) + + # Call a function tool + tool_call_event = RealtimeModelToolCallEvent( + name="func2", call_id="call_filtering", arguments="{}" + ) + + await session._handle_tool_call(tool_call_event) + + # Only func2 should have been called + func_tool1.on_invoke_tool.assert_not_called() + func_tool2.on_invoke_tool.assert_called_once() + + # Verify result + sent_call, sent_output, _ = mock_model.sent_tool_outputs[0] + assert sent_output == "result2" From c9b1bd131404d67829227104bd8c8c84860a08ed Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 20:26:35 -0400 Subject: [PATCH 195/337] [8/n] Make realtime more like the rest of agents sdk Key changes: 1. Transport -> model. 2. Extract any model settings into `RealtimeSessionModelSettings`. 3. RealtimeRunConfig, similar to the RunConfig in `run.py`. Next PR I'll update session to be better. --- .vscode/launch.json | 14 + examples/realtime/demo.py | 29 +- src/agents/realtime/__init__.py | 50 ++- src/agents/realtime/config.py | 51 +-- src/agents/realtime/events.py | 20 +- src/agents/realtime/model.py | 99 ++++++ .../{transport_events.py => model_events.py} | 54 ++-- src/agents/realtime/openai_realtime.py | 117 ++++--- src/agents/realtime/runner.py | 112 +++++++ src/agents/realtime/session.py | 303 +++++++----------- src/agents/realtime/transport.py | 107 ------- ...ansport_events.py => test_model_events.py} | 4 +- 12 files changed, 532 insertions(+), 428 deletions(-) create mode 100644 .vscode/launch.json create mode 100644 src/agents/realtime/model.py rename src/agents/realtime/{transport_events.py => model_events.py} (66%) create mode 100644 src/agents/realtime/runner.py delete mode 100644 src/agents/realtime/transport.py rename tests/realtime/{test_transport_events.py => test_model_events.py} (68%) diff --git a/.vscode/launch.json b/.vscode/launch.json new file mode 100644 index 000000000..a75c1414f --- /dev/null +++ b/.vscode/launch.json @@ -0,0 +1,14 @@ +{ + // Use IntelliSense to learn about possible attributes. + // Hover to view descriptions of existing attributes. + // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387 + "version": "0.2.0", + "configurations": [ + { + "name": "Python Debugger: Python File", + "type": "debugpy", + "request": "launch", + "program": "${file}" + } + ] +} \ No newline at end of file diff --git a/examples/realtime/demo.py b/examples/realtime/demo.py index a2ea96545..61834a4e5 100644 --- a/examples/realtime/demo.py +++ b/examples/realtime/demo.py @@ -5,11 +5,13 @@ import numpy as np +from agents.realtime import RealtimeSession + # Add the current directory to path so we can import ui sys.path.append(os.path.dirname(os.path.abspath(__file__))) from agents import function_tool -from agents.realtime import RealtimeAgent, RealtimeSession, RealtimeSessionEvent +from agents.realtime import RealtimeAgent, RealtimeRunner, RealtimeSessionEvent if TYPE_CHECKING: from .ui import AppUI @@ -38,23 +40,34 @@ def get_weather(city: str) -> str: class Example: def __init__(self) -> None: - self.session = RealtimeSession(agent) self.ui = AppUI() self.ui.connected = asyncio.Event() self.ui.last_audio_item_id = None # Set the audio callback self.ui.set_audio_callback(self.on_audio_recorded) + self.session: RealtimeSession | None = None + async def run(self) -> None: - self.session.add_listener(self.on_event) - await self.session.connect() - self.ui.set_is_connected(True) - await self.ui.run_async() + # Start UI in a separate task instead of waiting for it to complete + ui_task = asyncio.create_task(self.ui.run_async()) + + # Set up session immediately without waiting for UI to finish + runner = RealtimeRunner(agent) + async with await runner.run() as session: + self.session = session + self.ui.set_is_connected(True) + async for event in session: + await self.on_event(event) + + # Wait for UI task to complete when session ends + await ui_task async def on_audio_recorded(self, audio_bytes: bytes) -> None: """Called when audio is recorded by the UI.""" try: # Send the audio to the session + assert self.session is not None await self.session.send_audio(audio_bytes) except Exception as e: self.ui.log_message(f"Error sending audio: {e}") @@ -87,8 +100,8 @@ async def on_event(self, event: RealtimeSessionEvent) -> None: pass elif event.type == "history_added": pass - elif event.type == "raw_transport_event": - self.ui.log_message(f"Raw transport event: {event.data}") + elif event.type == "raw_model_event": + self.ui.log_message(f"Raw model event: {event.data}") else: self.ui.log_message(f"Unknown event type: {event.type}") except Exception as e: diff --git a/src/agents/realtime/__init__.py b/src/agents/realtime/__init__.py index 7e5d4932a..52b59edc3 100644 --- a/src/agents/realtime/__init__.py +++ b/src/agents/realtime/__init__.py @@ -1,5 +1,16 @@ from .agent import RealtimeAgent, RealtimeAgentHooks, RealtimeRunHooks -from .config import APIKeyOrKeyFunc +from .config import ( + RealtimeAudioFormat, + RealtimeClientMessage, + RealtimeInputAudioTranscriptionConfig, + RealtimeModelName, + RealtimeRunConfig, + RealtimeSessionModelSettings, + RealtimeTurnDetectionConfig, + RealtimeUserInput, + RealtimeUserInputMessage, + RealtimeUserInputText, +) from .events import ( RealtimeAgentEndEvent, RealtimeAgentStartEvent, @@ -10,42 +21,49 @@ RealtimeHandoffEvent, RealtimeHistoryAdded, RealtimeHistoryUpdated, - RealtimeRawTransportEvent, + RealtimeRawModelEvent, RealtimeSessionEvent, RealtimeToolEnd, RealtimeToolStart, ) -from .session import RealtimeSession -from .transport import ( - RealtimeModelName, - RealtimeSessionTransport, - RealtimeTransportConnectionOptions, - RealtimeTransportListener, +from .model import ( + RealtimeModel, + RealtimeModelConfig, + RealtimeModelListener, ) +from .runner import RealtimeRunner +from .session import RealtimeSession __all__ = [ "RealtimeAgent", "RealtimeAgentHooks", "RealtimeRunHooks", - "RealtimeSession", - "RealtimeSessionListener", - "RealtimeSessionListenerFunc", - "APIKeyOrKeyFunc", + "RealtimeRunner", + "RealtimeRunConfig", + "RealtimeSessionModelSettings", + "RealtimeInputAudioTranscriptionConfig", + "RealtimeTurnDetectionConfig", + "RealtimeAudioFormat", + "RealtimeClientMessage", + "RealtimeUserInput", + "RealtimeUserInputMessage", + "RealtimeUserInputText", "RealtimeModelName", - "RealtimeSessionTransport", - "RealtimeTransportListener", - "RealtimeTransportConnectionOptions", + "RealtimeModel", + "RealtimeModelListener", + "RealtimeModelConfig", "RealtimeSessionEvent", "RealtimeAgentStartEvent", "RealtimeAgentEndEvent", "RealtimeHandoffEvent", "RealtimeToolStart", "RealtimeToolEnd", - "RealtimeRawTransportEvent", + "RealtimeRawModelEvent", "RealtimeAudioEnd", "RealtimeAudio", "RealtimeAudioInterrupted", "RealtimeError", "RealtimeHistoryUpdated", "RealtimeHistoryAdded", + "RealtimeSession", ] diff --git a/src/agents/realtime/config.py b/src/agents/realtime/config.py index aa15c837d..459a03a9a 100644 --- a/src/agents/realtime/config.py +++ b/src/agents/realtime/config.py @@ -1,9 +1,7 @@ from __future__ import annotations -import inspect from typing import ( Any, - Callable, Literal, Union, ) @@ -11,8 +9,20 @@ from typing_extensions import NotRequired, TypeAlias, TypedDict from ..model_settings import ToolChoice -from ..tool import FunctionTool -from ..util._types import MaybeAwaitable +from ..tool import Tool + +RealtimeModelName: TypeAlias = Union[ + Literal[ + "gpt-4o-realtime-preview", + "gpt-4o-mini-realtime-preview", + "gpt-4o-realtime-preview-2025-06-03", + "gpt-4o-realtime-preview-2024-12-17", + "gpt-4o-realtime-preview-2024-10-01", + "gpt-4o-mini-realtime-preview-2024-12-17", + ], + str, +] +"""The name of a realtime model.""" class RealtimeClientMessage(TypedDict): @@ -20,7 +30,7 @@ class RealtimeClientMessage(TypedDict): other_data: NotRequired[dict[str, Any]] -class UserInputText(TypedDict): +class RealtimeUserInputText(TypedDict): type: Literal["input_text"] text: str @@ -28,7 +38,7 @@ class UserInputText(TypedDict): class RealtimeUserInputMessage(TypedDict): type: Literal["message"] role: Literal["user"] - content: list[UserInputText] + content: list[RealtimeUserInputText] RealtimeUserInput: TypeAlias = Union[str, RealtimeUserInputMessage] @@ -55,9 +65,11 @@ class RealtimeTurnDetectionConfig(TypedDict): threshold: NotRequired[float] -class RealtimeSessionConfig(TypedDict): - api_key: NotRequired[APIKeyOrKeyFunc] - model: NotRequired[str] +class RealtimeSessionModelSettings(TypedDict): + """Model settings for a realtime model session.""" + + model_name: NotRequired[RealtimeModelName] + instructions: NotRequired[str] modalities: NotRequired[list[Literal["text", "audio"]]] voice: NotRequired[str] @@ -68,24 +80,13 @@ class RealtimeSessionConfig(TypedDict): turn_detection: NotRequired[RealtimeTurnDetectionConfig] tool_choice: NotRequired[ToolChoice] - tools: NotRequired[list[FunctionTool]] - - -APIKeyOrKeyFunc = str | Callable[[], MaybeAwaitable[str]] -"""Either an API key or a function that returns an API key.""" - + tools: NotRequired[list[Tool]] -async def get_api_key(key: APIKeyOrKeyFunc | None) -> str | None: - """Get the API key from the key or key function.""" - if key is None: - return None - elif isinstance(key, str): - return key - result = key() - if inspect.isawaitable(result): - return await result - return result +class RealtimeRunConfig(TypedDict): + model_settings: NotRequired[RealtimeSessionModelSettings] # TODO (rm) Add tracing support # tracing: NotRequired[RealtimeTracingConfig | None] + # TODO (rm) Add guardrail support + # TODO (rm) Add history audio storage config diff --git a/src/agents/realtime/events.py b/src/agents/realtime/events.py index bd6b7b5b0..44a588f03 100644 --- a/src/agents/realtime/events.py +++ b/src/agents/realtime/events.py @@ -1,3 +1,5 @@ +from __future__ import annotations + from dataclasses import dataclass from typing import Any, Literal, Union @@ -7,7 +9,7 @@ from ..tool import Tool from .agent import RealtimeAgent from .items import RealtimeItem -from .transport_events import RealtimeTransportAudioEvent, RealtimeTransportEvent +from .model_events import RealtimeModelAudioEvent, RealtimeModelEvent @dataclass @@ -93,16 +95,16 @@ class RealtimeToolEnd: @dataclass -class RealtimeRawTransportEvent: - """Forwards raw events from the transport layer.""" +class RealtimeRawModelEvent: + """Forwards raw events from the model layer.""" - data: RealtimeTransportEvent - """The raw data from the transport layer.""" + data: RealtimeModelEvent + """The raw data from the model layer.""" info: RealtimeEventInfo """Common info for all events, such as the context.""" - type: Literal["raw_transport_event"] = "raw_transport_event" + type: Literal["raw_model_event"] = "raw_model_event" @dataclass @@ -119,8 +121,8 @@ class RealtimeAudioEnd: class RealtimeAudio: """Triggered when the agent generates new audio to be played.""" - audio: RealtimeTransportAudioEvent - """The audio event from the transport layer.""" + audio: RealtimeModelAudioEvent + """The audio event from the model layer.""" info: RealtimeEventInfo """Common info for all events, such as the context.""" @@ -187,7 +189,7 @@ class RealtimeHistoryAdded: RealtimeHandoffEvent, RealtimeToolStart, RealtimeToolEnd, - RealtimeRawTransportEvent, + RealtimeRawModelEvent, RealtimeAudioEnd, RealtimeAudio, RealtimeAudioInterrupted, diff --git a/src/agents/realtime/model.py b/src/agents/realtime/model.py new file mode 100644 index 000000000..2b41960e7 --- /dev/null +++ b/src/agents/realtime/model.py @@ -0,0 +1,99 @@ +from __future__ import annotations + +import abc +from typing import Any, Callable + +from typing_extensions import NotRequired, TypedDict + +from ..util._types import MaybeAwaitable +from .config import ( + RealtimeClientMessage, + RealtimeSessionModelSettings, + RealtimeUserInput, +) +from .model_events import RealtimeModelEvent, RealtimeModelToolCallEvent + + +class RealtimeModelListener(abc.ABC): + """A listener for realtime transport events.""" + + @abc.abstractmethod + async def on_event(self, event: RealtimeModelEvent) -> None: + """Called when an event is emitted by the realtime transport.""" + pass + + +class RealtimeModelConfig(TypedDict): + """Options for connecting to a realtime model.""" + + api_key: NotRequired[str | Callable[[], MaybeAwaitable[str]]] + """The API key (or function that returns a key) to use when connecting. If unset, the model will + try to use a sane default. For example, the OpenAI Realtime model will try to use the + `OPENAI_API_KEY` environment variable. + """ + + url: NotRequired[str] + """The URL to use when connecting. If unset, the model will use a sane default. For example, + the OpenAI Realtime model will use the default OpenAI WebSocket URL. + """ + + initial_model_settings: NotRequired[RealtimeSessionModelSettings] + + +class RealtimeModel(abc.ABC): + """Interface for connecting to a realtime model and sending/receiving events.""" + + @abc.abstractmethod + async def connect(self, options: RealtimeModelConfig) -> None: + """Establish a connection to the model and keep it alive.""" + pass + + @abc.abstractmethod + def add_listener(self, listener: RealtimeModelListener) -> None: + """Add a listener to the model.""" + pass + + @abc.abstractmethod + def remove_listener(self, listener: RealtimeModelListener) -> None: + """Remove a listener from the model.""" + pass + + @abc.abstractmethod + async def send_event(self, event: RealtimeClientMessage) -> None: + """Send an event to the model.""" + pass + + @abc.abstractmethod + async def send_message( + self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None + ) -> None: + """Send a message to the model.""" + pass + + @abc.abstractmethod + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Send a raw audio chunk to the model. + + Args: + audio: The audio data to send. + commit: Whether to commit the audio buffer to the model. If the model does not do turn + detection, this can be used to indicate the turn is completed. + """ + pass + + @abc.abstractmethod + async def send_tool_output( + self, tool_call: RealtimeModelToolCallEvent, output: str, start_response: bool + ) -> None: + """Send tool output to the model.""" + pass + + @abc.abstractmethod + async def interrupt(self) -> None: + """Interrupt the model. For example, could be triggered by a guardrail.""" + pass + + @abc.abstractmethod + async def close(self) -> None: + """Close the session.""" + pass diff --git a/src/agents/realtime/transport_events.py b/src/agents/realtime/model_events.py similarity index 66% rename from src/agents/realtime/transport_events.py rename to src/agents/realtime/model_events.py index 735577b17..a9769cebd 100644 --- a/src/agents/realtime/transport_events.py +++ b/src/agents/realtime/model_events.py @@ -11,7 +11,7 @@ @dataclass -class RealtimeTransportErrorEvent: +class RealtimeModelErrorEvent: """Represents a transport‑layer error.""" error: Any @@ -20,7 +20,7 @@ class RealtimeTransportErrorEvent: @dataclass -class RealtimeTransportToolCallEvent: +class RealtimeModelToolCallEvent: """Model attempted a tool/function call.""" name: str @@ -34,7 +34,7 @@ class RealtimeTransportToolCallEvent: @dataclass -class RealtimeTransportAudioEvent: +class RealtimeModelAudioEvent: """Raw audio bytes emitted by the model.""" data: bytes @@ -44,21 +44,21 @@ class RealtimeTransportAudioEvent: @dataclass -class RealtimeTransportAudioInterruptedEvent: +class RealtimeModelAudioInterruptedEvent: """Audio interrupted.""" type: Literal["audio_interrupted"] = "audio_interrupted" @dataclass -class RealtimeTransportAudioDoneEvent: +class RealtimeModelAudioDoneEvent: """Audio done.""" type: Literal["audio_done"] = "audio_done" @dataclass -class RealtimeTransportInputAudioTranscriptionCompletedEvent: +class RealtimeModelInputAudioTranscriptionCompletedEvent: """Input audio transcription completed.""" item_id: str @@ -70,7 +70,7 @@ class RealtimeTransportInputAudioTranscriptionCompletedEvent: @dataclass -class RealtimeTransportTranscriptDelta: +class RealtimeModelTranscriptDeltaEvent: """Partial transcript update.""" item_id: str @@ -81,7 +81,7 @@ class RealtimeTransportTranscriptDelta: @dataclass -class RealtimeTransportItemUpdatedEvent: +class RealtimeModelItemUpdatedEvent: """Item added to the history or updated.""" item: RealtimeItem @@ -90,7 +90,7 @@ class RealtimeTransportItemUpdatedEvent: @dataclass -class RealtimeTransportItemDeletedEvent: +class RealtimeModelItemDeletedEvent: """Item deleted from the history.""" item_id: str @@ -99,7 +99,7 @@ class RealtimeTransportItemDeletedEvent: @dataclass -class RealtimeTransportConnectionStatusEvent: +class RealtimeModelConnectionStatusEvent: """Connection status changed.""" status: RealtimeConnectionStatus @@ -108,21 +108,21 @@ class RealtimeTransportConnectionStatusEvent: @dataclass -class RealtimeTransportTurnStartedEvent: +class RealtimeModelTurnStartedEvent: """Triggered when the model starts generating a response for a turn.""" type: Literal["turn_started"] = "turn_started" @dataclass -class RealtimeTransportTurnEndedEvent: +class RealtimeModelTurnEndedEvent: """Triggered when the model finishes generating a response for a turn.""" type: Literal["turn_ended"] = "turn_ended" @dataclass -class RealtimeTransportOtherEvent: +class RealtimeModelOtherEvent: """Used as a catchall for vendor-specific events.""" data: Any @@ -133,18 +133,18 @@ class RealtimeTransportOtherEvent: # TODO (rm) Add usage events -RealtimeTransportEvent: TypeAlias = Union[ - RealtimeTransportErrorEvent, - RealtimeTransportToolCallEvent, - RealtimeTransportAudioEvent, - RealtimeTransportAudioInterruptedEvent, - RealtimeTransportAudioDoneEvent, - RealtimeTransportInputAudioTranscriptionCompletedEvent, - RealtimeTransportTranscriptDelta, - RealtimeTransportItemUpdatedEvent, - RealtimeTransportItemDeletedEvent, - RealtimeTransportConnectionStatusEvent, - RealtimeTransportTurnStartedEvent, - RealtimeTransportTurnEndedEvent, - RealtimeTransportOtherEvent, +RealtimeModelEvent: TypeAlias = Union[ + RealtimeModelErrorEvent, + RealtimeModelToolCallEvent, + RealtimeModelAudioEvent, + RealtimeModelAudioInterruptedEvent, + RealtimeModelAudioDoneEvent, + RealtimeModelInputAudioTranscriptionCompletedEvent, + RealtimeModelTranscriptDeltaEvent, + RealtimeModelItemUpdatedEvent, + RealtimeModelItemDeletedEvent, + RealtimeModelConnectionStatusEvent, + RealtimeModelTurnStartedEvent, + RealtimeModelTurnEndedEvent, + RealtimeModelOtherEvent, ] diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 6dc34bcf1..b3f6eb2e0 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -1,9 +1,12 @@ +from __future__ import annotations + import asyncio import base64 +import inspect import json import os from datetime import datetime -from typing import Any +from typing import Any, Callable import websockets from openai.types.beta.realtime.realtime_server_event import ( @@ -12,52 +15,72 @@ from pydantic import TypeAdapter from websockets.asyncio.client import ClientConnection +from agents.util._types import MaybeAwaitable + from ..exceptions import UserError from ..logger import logger -from .config import RealtimeClientMessage, RealtimeUserInput, get_api_key +from .config import ( + RealtimeClientMessage, + RealtimeSessionModelSettings, + RealtimeUserInput, +) from .items import RealtimeMessageItem, RealtimeToolCallItem -from .transport import ( - RealtimeSessionTransport, - RealtimeTransportConnectionOptions, - RealtimeTransportListener, +from .model import ( + RealtimeModel, + RealtimeModelConfig, + RealtimeModelListener, ) -from .transport_events import ( - RealtimeTransportAudioDoneEvent, - RealtimeTransportAudioEvent, - RealtimeTransportAudioInterruptedEvent, - RealtimeTransportErrorEvent, - RealtimeTransportEvent, - RealtimeTransportInputAudioTranscriptionCompletedEvent, - RealtimeTransportItemDeletedEvent, - RealtimeTransportItemUpdatedEvent, - RealtimeTransportToolCallEvent, - RealtimeTransportTranscriptDelta, - RealtimeTransportTurnEndedEvent, - RealtimeTransportTurnStartedEvent, +from .model_events import ( + RealtimeModelAudioDoneEvent, + RealtimeModelAudioEvent, + RealtimeModelAudioInterruptedEvent, + RealtimeModelErrorEvent, + RealtimeModelEvent, + RealtimeModelInputAudioTranscriptionCompletedEvent, + RealtimeModelItemDeletedEvent, + RealtimeModelItemUpdatedEvent, + RealtimeModelToolCallEvent, + RealtimeModelTranscriptDeltaEvent, + RealtimeModelTurnEndedEvent, + RealtimeModelTurnStartedEvent, ) -class OpenAIRealtimeWebSocketTransport(RealtimeSessionTransport): - """A transport layer for realtime sessions that uses OpenAI's WebSocket API.""" +async def get_api_key(key: str | Callable[[], MaybeAwaitable[str]] | None) -> str | None: + if isinstance(key, str): + return key + elif callable(key): + result = key() + if inspect.isawaitable(result): + return await result + return result + + return os.getenv("OPENAI_API_KEY") + + +class OpenAIRealtimeWebSocketModel(RealtimeModel): + """A model that uses OpenAI's WebSocket API.""" def __init__(self) -> None: self.model = "gpt-4o-realtime-preview" # Default model self._websocket: ClientConnection | None = None self._websocket_task: asyncio.Task[None] | None = None - self._listeners: list[RealtimeTransportListener] = [] + self._listeners: list[RealtimeModelListener] = [] self._current_item_id: str | None = None self._audio_start_time: datetime | None = None self._audio_length_ms: float = 0.0 self._ongoing_response: bool = False self._current_audio_content_index: int | None = None - async def connect(self, options: RealtimeTransportConnectionOptions) -> None: + async def connect(self, options: RealtimeModelConfig) -> None: """Establish a connection to the model and keep it alive.""" assert self._websocket is None, "Already connected" assert self._websocket_task is None, "Already connected" - self.model = options.get("model", self.model) - api_key = await get_api_key(options.get("api_key", os.getenv("OPENAI_API_KEY"))) + model_settings: RealtimeSessionModelSettings = options.get("initial_model_settings", {}) + + self.model = model_settings.get("model_name", self.model) + api_key = await get_api_key(options.get("api_key")) if not api_key: raise UserError("API key is required but was not provided.") @@ -71,15 +94,15 @@ async def connect(self, options: RealtimeTransportConnectionOptions) -> None: self._websocket = await websockets.connect(url, additional_headers=headers) self._websocket_task = asyncio.create_task(self._listen_for_messages()) - def add_listener(self, listener: RealtimeTransportListener) -> None: - """Add a listener to the transport.""" + def add_listener(self, listener: RealtimeModelListener) -> None: + """Add a listener to the model.""" self._listeners.append(listener) - async def remove_listener(self, listener: RealtimeTransportListener) -> None: - """Remove a listener from the transport.""" + def remove_listener(self, listener: RealtimeModelListener) -> None: + """Remove a listener from the model.""" self._listeners.remove(listener) - async def _emit_event(self, event: RealtimeTransportEvent) -> None: + async def _emit_event(self, event: RealtimeModelEvent) -> None: """Emit an event to the listeners.""" for listener in self._listeners: await listener.on_event(event) @@ -154,7 +177,7 @@ async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: await self.send_event({"type": "input_audio_buffer.commit"}) async def send_tool_output( - self, tool_call: RealtimeTransportToolCallEvent, output: str, start_response: bool + self, tool_call: RealtimeModelToolCallEvent, output: str, start_response: bool ) -> None: """Send tool output to the model.""" await self.send_event( @@ -179,7 +202,7 @@ async def send_tool_output( name=tool_call.name, output=output, ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=tool_item)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=tool_item)) if start_response: await self.send_event({"type": "response.create"}) @@ -193,7 +216,7 @@ async def interrupt(self) -> None: elapsed_time_ms = (datetime.now() - self._audio_start_time).total_seconds() * 1000 if elapsed_time_ms > 0 and elapsed_time_ms < self._audio_length_ms: - await self._emit_event(RealtimeTransportAudioInterruptedEvent()) + await self._emit_event(RealtimeModelAudioInterruptedEvent()) await self.send_event( { "type": "conversation.item.truncate", @@ -231,9 +254,7 @@ async def _handle_ws_event(self, event: dict[str, Any]): ).validate_python(event) except Exception as e: logger.error(f"Invalid event: {event} - {e}") - await self._emit_event( - RealtimeTransportErrorEvent(error=f"Invalid event: {event} - {e}") - ) + # await self._emit_event(RealtimeModelErrorEvent(error=f"Invalid event: {event} - {e}")) return if parsed.type == "response.audio.delta": @@ -247,25 +268,25 @@ async def _handle_ws_event(self, event: dict[str, Any]): # Calculate audio length in ms using 24KHz pcm16le self._audio_length_ms += len(audio_bytes) / 24 / 2 await self._emit_event( - RealtimeTransportAudioEvent(data=audio_bytes, response_id=parsed.response_id) + RealtimeModelAudioEvent(data=audio_bytes, response_id=parsed.response_id) ) elif parsed.type == "response.audio.done": - await self._emit_event(RealtimeTransportAudioDoneEvent()) + await self._emit_event(RealtimeModelAudioDoneEvent()) elif parsed.type == "input_audio_buffer.speech_started": await self.interrupt() elif parsed.type == "response.created": self._ongoing_response = True - await self._emit_event(RealtimeTransportTurnStartedEvent()) + await self._emit_event(RealtimeModelTurnStartedEvent()) elif parsed.type == "response.done": self._ongoing_response = False - await self._emit_event(RealtimeTransportTurnEndedEvent()) + await self._emit_event(RealtimeModelTurnEndedEvent()) elif parsed.type == "session.created": # TODO (rm) tracing stuff here pass elif parsed.type == "error": - await self._emit_event(RealtimeTransportErrorEvent(error=parsed.error)) + await self._emit_event(RealtimeModelErrorEvent(error=parsed.error)) elif parsed.type == "conversation.item.deleted": - await self._emit_event(RealtimeTransportItemDeletedEvent(item_id=parsed.item_id)) + await self._emit_event(RealtimeModelItemDeletedEvent(item_id=parsed.item_id)) elif ( parsed.type == "conversation.item.created" or parsed.type == "conversation.item.retrieved" @@ -284,7 +305,7 @@ async def _handle_ws_event(self, event: dict[str, Any]): "status": "in_progress", } ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=message_item)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=message_item)) elif ( parsed.type == "conversation.item.input_audio_transcription.completed" or parsed.type == "conversation.item.truncated" @@ -299,13 +320,13 @@ async def _handle_ws_event(self, event: dict[str, Any]): ) if parsed.type == "conversation.item.input_audio_transcription.completed": await self._emit_event( - RealtimeTransportInputAudioTranscriptionCompletedEvent( + RealtimeModelInputAudioTranscriptionCompletedEvent( item_id=parsed.item_id, transcript=parsed.transcript ) ) elif parsed.type == "response.audio_transcript.delta": await self._emit_event( - RealtimeTransportTranscriptDelta( + RealtimeModelTranscriptDeltaEvent( item_id=parsed.item_id, delta=parsed.delta, response_id=parsed.response_id ) ) @@ -333,9 +354,9 @@ async def _handle_ws_event(self, event: dict[str, Any]): name=item.name or "", output=None, ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=tool_call)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=tool_call)) await self._emit_event( - RealtimeTransportToolCallEvent( + RealtimeModelToolCallEvent( call_id=item.id or "", name=item.name or "", arguments=item.arguments or "", @@ -352,4 +373,4 @@ async def _handle_ws_event(self, event: dict[str, Any]): "status": "in_progress", } ) - await self._emit_event(RealtimeTransportItemUpdatedEvent(item=message_item)) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=message_item)) diff --git a/src/agents/realtime/runner.py b/src/agents/realtime/runner.py new file mode 100644 index 000000000..4470ab220 --- /dev/null +++ b/src/agents/realtime/runner.py @@ -0,0 +1,112 @@ +"""Minimal realtime session implementation for voice agents.""" + +from __future__ import annotations + +import asyncio + +from ..run_context import RunContextWrapper, TContext +from .agent import RealtimeAgent +from .config import ( + RealtimeRunConfig, + RealtimeSessionModelSettings, +) +from .model import ( + RealtimeModel, + RealtimeModelConfig, +) +from .openai_realtime import OpenAIRealtimeWebSocketModel +from .session import RealtimeSession + + +class RealtimeRunner: + """A `RealtimeRunner` is the equivalent of `Runner` for realtime agents. It automatically + handles multiple turns by maintaining a persistent connection with the underlying model + layer. + + The session manages the local history copy, executes tools, runs guardrails and facilitates + handoffs between agents. + + Since this code runs on your server, it uses WebSockets by default. You can optionally create + your own custom model layer by implementing the `RealtimeModel` interface. + """ + + def __init__( + self, + starting_agent: RealtimeAgent, + *, + model: RealtimeModel | None = None, + config: RealtimeRunConfig | None = None, + ) -> None: + """Initialize the realtime runner. + + Args: + starting_agent: The agent to start the session with. + context: The context to use for the session. + model: The model to use. If not provided, will use a default OpenAI realtime model. + config: Override parameters to use for the entire run. + """ + self._starting_agent = starting_agent + self._config = config + self._model = model or OpenAIRealtimeWebSocketModel() + + async def run( + self, *, context: TContext | None = None, model_config: RealtimeModelConfig | None = None + ) -> RealtimeSession: + """Start and returns a realtime session. + + Returns: + RealtimeSession: A session object that allows bidirectional communication with the + realtime model. + + Example: + ```python + runner = RealtimeRunner(agent) + async with await runner.run() as session: + await session.send_message("Hello") + async for event in session: + print(event) + ``` + """ + model_settings = await self._get_model_settings( + agent=self._starting_agent, + initial_settings=model_config.get("initial_model_settings") if model_config else None, + overrides=self._config.get("model_settings") if self._config else None, + ) + + model_config = model_config.copy() if model_config else {} + model_config["initial_model_settings"] = model_settings + + # Create and return the connection + session = RealtimeSession( + model=self._model, + agent=self._starting_agent, + context=context, + model_config=model_config, + ) + + return session + + async def _get_model_settings( + self, + agent: RealtimeAgent, + context: TContext | None = None, + initial_settings: RealtimeSessionModelSettings | None = None, + overrides: RealtimeSessionModelSettings | None = None, + ) -> RealtimeSessionModelSettings: + context_wrapper = RunContextWrapper(context) + model_settings = initial_settings.copy() if initial_settings else {} + + instructions, tools = await asyncio.gather( + agent.get_system_prompt(context_wrapper), + agent.get_all_tools(context_wrapper), + ) + + if instructions is not None: + model_settings["instructions"] = instructions + if tools is not None: + model_settings["tools"] = tools + + if overrides: + model_settings.update(overrides) + + return model_settings diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index fd2a0a3ff..927e74e9f 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -1,20 +1,17 @@ -"""Minimal realtime session implementation for voice agents.""" - from __future__ import annotations -import abc import asyncio -from collections.abc import Awaitable -from typing import Any, Callable, Literal +from collections.abc import AsyncIterator +from typing import Any -from typing_extensions import TypeAlias, assert_never +from typing_extensions import assert_never from ..handoffs import Handoff -from ..run_context import RunContextWrapper +from ..run_context import RunContextWrapper, TContext from ..tool import FunctionTool from ..tool_context import ToolContext from .agent import RealtimeAgent -from .config import APIKeyOrKeyFunc, RealtimeSessionConfig, RealtimeUserInput +from .config import RealtimeUserInput from .events import ( RealtimeAgentEndEvent, RealtimeAgentStartEvent, @@ -23,253 +20,186 @@ RealtimeAudioInterrupted, RealtimeError, RealtimeEventInfo, - RealtimeHandoffEvent, # noqa: F401 RealtimeHistoryAdded, RealtimeHistoryUpdated, - RealtimeRawTransportEvent, + RealtimeRawModelEvent, RealtimeSessionEvent, RealtimeToolEnd, RealtimeToolStart, ) from .items import InputAudio, InputText, RealtimeItem -from .openai_realtime import OpenAIRealtimeWebSocketTransport -from .transport import ( - RealtimeModelName, - RealtimeSessionTransport, - RealtimeTransportConnectionOptions, - RealtimeTransportListener, -) -from .transport_events import ( - RealtimeTransportEvent, - RealtimeTransportInputAudioTranscriptionCompletedEvent, - RealtimeTransportToolCallEvent, +from .model import RealtimeModel, RealtimeModelConfig, RealtimeModelListener +from .model_events import ( + RealtimeModelEvent, + RealtimeModelInputAudioTranscriptionCompletedEvent, + RealtimeModelToolCallEvent, ) -class RealtimeSessionListener(abc.ABC): - """A listener for realtime session events.""" - - @abc.abstractmethod - async def on_event(self, event: RealtimeSessionEvent) -> None: - """Called when an event is emitted by the realtime session.""" - pass - - -RealtimeSessionListenerFunc: TypeAlias = Callable[[RealtimeSessionEvent], Awaitable[None]] -"""A function that can be used as a listener for realtime session events.""" - - -class _RealtimeFuncListener(RealtimeSessionListener): - """A listener that wraps a function.""" - - def __init__(self, func: RealtimeSessionListenerFunc) -> None: - self._func = func - - async def on_event(self, event: RealtimeSessionEvent) -> None: - """Call the wrapped function with the event.""" - await self._func(event) - - -class RealtimeSession(RealtimeTransportListener): - """A `RealtimeSession` is the equivalent of `Runner` for realtime agents. It automatically - handles multiple turns by maintaining a persistent connection with the underlying transport - layer. - - The session manages the local history copy, executes tools, runs guardrails and facilitates - handoffs between agents. - - Since this code runs on your server, it uses WebSockets by default. You can optionally create - your own custom transport layer by implementing the `RealtimeSessionTransport` interface. +class RealtimeSession(RealtimeModelListener): + """A connection to a realtime model. It streams events from the model to you, and allows you to + send messages and audio to the model. + + Example: + ```python + runner = RealtimeRunner(agent) + async with await runner.run() as session: + # Send messages + await session.send_message("Hello") + await session.send_audio(audio_bytes) + + # Stream events + async for event in session: + if event.type == "audio": + # Handle audio event + pass + ``` """ def __init__( self, - starting_agent: RealtimeAgent, - *, - context: Any | None = None, - transport: Literal["websocket"] | RealtimeSessionTransport = "websocket", - api_key: APIKeyOrKeyFunc | None = None, - model: RealtimeModelName | None = None, - config: RealtimeSessionConfig | None = None, - # TODO (rm) Add guardrail support - # TODO (rm) Add tracing support - # TODO (rm) Add history audio storage config + model: RealtimeModel, + agent: RealtimeAgent, + context: TContext | None, + model_config: RealtimeModelConfig | None = None, ) -> None: - """Initialize the realtime session. + """Initialize the session. Args: - starting_agent: The agent to start the session with. - context: The context to use for the session. - transport: The transport to use for the session. Defaults to using websockets. - api_key: The API key to use for the session. - model: The model to use. Must be a realtime model. - config: Override parameters to use. + model: The model to use. + agent: The current agent. + context_wrapper: The context wrapper. + event_info: Event info object. + history: The conversation history. + model_config: Model configuration. """ - self._current_agent = starting_agent + self._model = model + self._current_agent = agent self._context_wrapper = RunContextWrapper(context) self._event_info = RealtimeEventInfo(context=self._context_wrapper) - self._override_config = config self._history: list[RealtimeItem] = [] - self._model = model - self._api_key = api_key - - self._listeners: list[RealtimeSessionListener] = [] - - if transport == "websocket": - self._transport: RealtimeSessionTransport = OpenAIRealtimeWebSocketTransport() - else: - self._transport = transport + self._model_config = model_config or {} + self._event_queue: asyncio.Queue[RealtimeSessionEvent] = asyncio.Queue() + self._closed = False + self._background_task: asyncio.Task[None] | None = None async def __aenter__(self) -> RealtimeSession: - """Async context manager entry.""" - await self.connect() - return self - - async def __aexit__(self, _exc_type: Any, _exc_val: Any, _exc_tb: Any) -> None: - """Async context manager exit.""" - await self.end() - - async def connect(self) -> None: - """Start the session: connect to the model and start the connection.""" - self._transport.add_listener(self) - - config = await self.create_session_config( - overrides=self._override_config, - ) - - options: RealtimeTransportConnectionOptions = { - "initial_session_config": config, - } - - if config.get("api_key") is not None: - options["api_key"] = config["api_key"] - elif self._api_key is not None: - options["api_key"] = self._api_key - - if config.get("model") is not None: - options["model"] = config["model"] - elif self._model is not None: - options["model"] = self._model + """Start the session by connecting to the model. After this, you will be able to stream + events from the model and send messages and audio to the model. + """ + # Add ourselves as a listener + self._model.add_listener(self) - await self._transport.connect(options) + # Connect to the model + await self._model.connect(self._model_config) - await self._emit_event( + # Emit initial history update + await self._put_event( RealtimeHistoryUpdated( history=self._history, info=self._event_info, ) ) - async def end(self) -> None: - """End the session: disconnect from the model and close the connection.""" - pass - - def add_listener(self, listener: RealtimeSessionListener | RealtimeSessionListenerFunc) -> None: - """Add a listener to the session.""" - if isinstance(listener, RealtimeSessionListener): - self._listeners.append(listener) - else: - self._listeners.append(_RealtimeFuncListener(listener)) - - def remove_listener( - self, listener: RealtimeSessionListener | RealtimeSessionListenerFunc - ) -> None: - """Remove a listener from the session.""" - if isinstance(listener, RealtimeSessionListener): - self._listeners.remove(listener) - else: - for x in self._listeners: - if isinstance(x, _RealtimeFuncListener) and x._func == listener: - self._listeners.remove(x) - break - - async def create_session_config( - self, overrides: RealtimeSessionConfig | None = None - ) -> RealtimeSessionConfig: - """Create the session config.""" - agent = self._current_agent - instructions, tools = await asyncio.gather( - agent.get_system_prompt(self._context_wrapper), - agent.get_all_tools(self._context_wrapper), - ) - config = RealtimeSessionConfig() - - if self._model is not None: - config["model"] = self._model - if instructions is not None: - config["instructions"] = instructions - if tools is not None: - config["tools"] = [tool for tool in tools if isinstance(tool, FunctionTool)] + return self - if overrides: - config.update(overrides) + async def enter(self) -> RealtimeSession: + """Enter the async context manager. We strongly recommend using the async context manager + pattern instead of this method. If you use this, you need to manually call `close()` when + you are done. + """ + return await self.__aenter__() - return config + async def __aexit__(self, _exc_type: Any, _exc_val: Any, _exc_tb: Any) -> None: + """End the session.""" + await self.close() + + async def __aiter__(self) -> AsyncIterator[RealtimeSessionEvent]: + """Iterate over events from the session.""" + while not self._closed: + try: + event = await self._event_queue.get() + yield event + except asyncio.CancelledError: + break + + async def close(self) -> None: + """Close the session.""" + self._closed = True + self._model.remove_listener(self) + await self._model.close() + + # Cancel any background tasks + if self._background_task and not self._background_task.done(): + self._background_task.cancel() + try: + await self._background_task + except asyncio.CancelledError: + pass async def send_message(self, message: RealtimeUserInput) -> None: """Send a message to the model.""" - await self._transport.send_message(message) + await self._model.send_message(message) async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: """Send a raw audio chunk to the model.""" - await self._transport.send_audio(audio, commit=commit) + await self._model.send_audio(audio, commit=commit) async def interrupt(self) -> None: """Interrupt the model.""" - await self._transport.interrupt() + await self._model.interrupt() - async def on_event(self, event: RealtimeTransportEvent) -> None: - """Called when an event is emitted by the realtime transport.""" - await self._emit_event(RealtimeRawTransportEvent(data=event, info=self._event_info)) + async def on_event(self, event: RealtimeModelEvent) -> None: + await self._put_event(RealtimeRawModelEvent(data=event, info=self._event_info)) if event.type == "error": - await self._emit_event(RealtimeError(info=self._event_info, error=event.error)) + await self._put_event(RealtimeError(info=self._event_info, error=event.error)) elif event.type == "function_call": - await self._handle_tool_call(event) + # Handle tool calls in the background to avoid blocking event stream + self._background_task = asyncio.create_task(self._handle_tool_call(event)) elif event.type == "audio": - await self._emit_event(RealtimeAudio(info=self._event_info, audio=event)) + await self._put_event(RealtimeAudio(info=self._event_info, audio=event)) elif event.type == "audio_interrupted": - await self._emit_event(RealtimeAudioInterrupted(info=self._event_info)) + await self._put_event(RealtimeAudioInterrupted(info=self._event_info)) elif event.type == "audio_done": - await self._emit_event(RealtimeAudioEnd(info=self._event_info)) + await self._put_event(RealtimeAudioEnd(info=self._event_info)) elif event.type == "conversation.item.input_audio_transcription.completed": self._history = self._get_new_history(self._history, event) - await self._emit_event( + await self._put_event( RealtimeHistoryUpdated(info=self._event_info, history=self._history) ) elif event.type == "transcript_delta": # TODO (rm) Add guardrails pass elif event.type == "item_updated": - is_new = any(item.item_id == event.item.item_id for item in self._history) + is_new = not any(item.item_id == event.item.item_id for item in self._history) self._history = self._get_new_history(self._history, event.item) if is_new: new_item = next( item for item in self._history if item.item_id == event.item.item_id ) - await self._emit_event(RealtimeHistoryAdded(info=self._event_info, item=new_item)) + await self._put_event(RealtimeHistoryAdded(info=self._event_info, item=new_item)) else: - await self._emit_event( + await self._put_event( RealtimeHistoryUpdated(info=self._event_info, history=self._history) ) - pass elif event.type == "item_deleted": deleted_id = event.item_id self._history = [item for item in self._history if item.item_id != deleted_id] - await self._emit_event( + await self._put_event( RealtimeHistoryUpdated(info=self._event_info, history=self._history) ) elif event.type == "connection_status": pass elif event.type == "turn_started": - await self._emit_event( + await self._put_event( RealtimeAgentStartEvent( agent=self._current_agent, info=self._event_info, ) ) elif event.type == "turn_ended": - await self._emit_event( + await self._put_event( RealtimeAgentEndEvent( agent=self._current_agent, info=self._event_info, @@ -280,17 +210,18 @@ async def on_event(self, event: RealtimeTransportEvent) -> None: else: assert_never(event) - async def _emit_event(self, event: RealtimeSessionEvent) -> None: - """Emit an event to the listeners.""" - await asyncio.gather(*[listener.on_event(event) for listener in self._listeners]) + async def _put_event(self, event: RealtimeSessionEvent) -> None: + """Put an event into the queue.""" + await self._event_queue.put(event) - async def _handle_tool_call(self, event: RealtimeTransportToolCallEvent) -> None: + async def _handle_tool_call(self, event: RealtimeModelToolCallEvent) -> None: + """Handle a tool call event.""" all_tools = await self._current_agent.get_all_tools(self._context_wrapper) function_map = {tool.name: tool for tool in all_tools if isinstance(tool, FunctionTool)} handoff_map = {tool.name: tool for tool in all_tools if isinstance(tool, Handoff)} if event.name in function_map: - await self._emit_event( + await self._put_event( RealtimeToolStart( info=self._event_info, tool=function_map[event.name], @@ -302,9 +233,9 @@ async def _handle_tool_call(self, event: RealtimeTransportToolCallEvent) -> None tool_context = ToolContext.from_agent_context(self._context_wrapper, event.call_id) result = await func_tool.on_invoke_tool(tool_context, event.arguments) - await self._transport.send_tool_output(event, str(result), True) + await self._model.send_tool_output(event, str(result), True) - await self._emit_event( + await self._put_event( RealtimeToolEnd( info=self._event_info, tool=func_tool, @@ -322,10 +253,10 @@ async def _handle_tool_call(self, event: RealtimeTransportToolCallEvent) -> None def _get_new_history( self, old_history: list[RealtimeItem], - event: RealtimeTransportInputAudioTranscriptionCompletedEvent | RealtimeItem, + event: RealtimeModelInputAudioTranscriptionCompletedEvent | RealtimeItem, ) -> list[RealtimeItem]: # Merge transcript into placeholder input_audio message. - if isinstance(event, RealtimeTransportInputAudioTranscriptionCompletedEvent): + if isinstance(event, RealtimeModelInputAudioTranscriptionCompletedEvent): new_history: list[RealtimeItem] = [] for item in old_history: if item.item_id == event.item_id and item.type == "message" and item.role == "user": @@ -355,7 +286,7 @@ def _get_new_history( new_history[existing_index] = event return new_history # Otherwise, insert it after the previous_item_id if that is set - elif item.previous_item_id: + elif event.previous_item_id: # Insert the new item after the previous item previous_index = next( (i for i, item in enumerate(old_history) if item.item_id == event.previous_item_id), diff --git a/src/agents/realtime/transport.py b/src/agents/realtime/transport.py deleted file mode 100644 index 18290d128..000000000 --- a/src/agents/realtime/transport.py +++ /dev/null @@ -1,107 +0,0 @@ -import abc -from typing import Any, Literal, Union - -from typing_extensions import NotRequired, TypeAlias, TypedDict - -from .config import APIKeyOrKeyFunc, RealtimeClientMessage, RealtimeSessionConfig, RealtimeUserInput -from .transport_events import RealtimeTransportEvent, RealtimeTransportToolCallEvent - -RealtimeModelName: TypeAlias = Union[ - Literal[ - "gpt-4o-realtime-preview", - "gpt-4o-mini-realtime-preview", - "gpt-4o-realtime-preview-2025-06-03", - "gpt-4o-realtime-preview-2024-12-17", - "gpt-4o-realtime-preview-2024-10-01", - "gpt-4o-mini-realtime-preview-2024-12-17", - ], - str, -] -"""The name of a realtime model.""" - - -class RealtimeTransportListener(abc.ABC): - """A listener for realtime transport events.""" - - @abc.abstractmethod - async def on_event(self, event: RealtimeTransportEvent) -> None: - """Called when an event is emitted by the realtime transport.""" - pass - - -class RealtimeTransportConnectionOptions(TypedDict): - """Options for connecting to a realtime transport.""" - - api_key: NotRequired[APIKeyOrKeyFunc] - """The API key to use for the transport. If unset, the transport will attempt to use the - `OPENAI_API_KEY` environment variable. - """ - - model: NotRequired[str] - """The model to use.""" - - url: NotRequired[str] - """The URL to use for the transport. If unset, the transport will use the default OpenAI - WebSocket URL. - """ - - initial_session_config: NotRequired[RealtimeSessionConfig] - - -class RealtimeSessionTransport(abc.ABC): - """A transport layer for realtime sessions.""" - - @abc.abstractmethod - async def connect(self, options: RealtimeTransportConnectionOptions) -> None: - """Establish a connection to the model and keep it alive.""" - pass - - @abc.abstractmethod - def add_listener(self, listener: RealtimeTransportListener) -> None: - """Add a listener to the transport.""" - pass - - @abc.abstractmethod - async def remove_listener(self, listener: RealtimeTransportListener) -> None: - """Remove a listener from the transport.""" - pass - - @abc.abstractmethod - async def send_event(self, event: RealtimeClientMessage) -> None: - """Send an event to the model.""" - pass - - @abc.abstractmethod - async def send_message( - self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None - ) -> None: - """Send a message to the model.""" - pass - - @abc.abstractmethod - async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: - """Send a raw audio chunk to the model. - - Args: - audio: The audio data to send. - commit: Whether to commit the audio buffer to the model. If the model does not do turn - detection, this can be used to indicate the turn is completed. - """ - pass - - @abc.abstractmethod - async def send_tool_output( - self, tool_call: RealtimeTransportToolCallEvent, output: str, start_response: bool - ) -> None: - """Send tool output to the model.""" - pass - - @abc.abstractmethod - async def interrupt(self) -> None: - """Interrupt the model. For example, could be triggered by a guardrail.""" - pass - - @abc.abstractmethod - async def close(self) -> None: - """Close the session.""" - pass diff --git a/tests/realtime/test_transport_events.py b/tests/realtime/test_model_events.py similarity index 68% rename from tests/realtime/test_transport_events.py rename to tests/realtime/test_model_events.py index 2219303d0..b8696cc29 100644 --- a/tests/realtime/test_transport_events.py +++ b/tests/realtime/test_model_events.py @@ -1,11 +1,11 @@ from typing import get_args -from agents.realtime.transport_events import RealtimeTransportEvent +from agents.realtime.model_events import RealtimeModelEvent def test_all_events_have_type() -> None: """Test that all events have a type.""" - events = get_args(RealtimeTransportEvent) + events = get_args(RealtimeModelEvent) assert len(events) > 0 for event in events: assert event.type is not None From e29ece8a20cb1d5615e8cca4995278a70b4c4235 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 20:33:07 -0400 Subject: [PATCH 196/337] Tests for realtime runner --- tests/realtime/test_runner.py | 224 ++++++++++++++++++++++++++++++++++ 1 file changed, 224 insertions(+) create mode 100644 tests/realtime/test_runner.py diff --git a/tests/realtime/test_runner.py b/tests/realtime/test_runner.py new file mode 100644 index 000000000..aabdff140 --- /dev/null +++ b/tests/realtime/test_runner.py @@ -0,0 +1,224 @@ +from unittest.mock import AsyncMock, Mock, patch + +import pytest +from inline_snapshot import snapshot + +from agents.realtime.agent import RealtimeAgent +from agents.realtime.config import RealtimeRunConfig, RealtimeSessionModelSettings +from agents.realtime.model import RealtimeModel, RealtimeModelConfig +from agents.realtime.runner import RealtimeRunner +from agents.realtime.session import RealtimeSession + + +class MockRealtimeModel(RealtimeModel): + async def connect(self, options=None): + pass + + def add_listener(self, listener): + pass + + def remove_listener(self, listener): + pass + + async def send_event(self, event): + pass + + async def send_message(self, message, other_event_data=None): + pass + + async def send_audio(self, audio, commit=False): + pass + + async def send_tool_output(self, tool_call, output, start_response=True): + pass + + async def interrupt(self): + pass + + async def close(self): + pass + + +@pytest.fixture +def mock_agent(): + agent = Mock(spec=RealtimeAgent) + agent.get_system_prompt = AsyncMock(return_value="Test instructions") + agent.get_all_tools = AsyncMock(return_value=[{"type": "function", "name": "test_tool"}]) + return agent + + +@pytest.fixture +def mock_model(): + return MockRealtimeModel() + + +@pytest.mark.asyncio +async def test_run_creates_session_with_no_settings(mock_agent, mock_model): + """Test that run() creates a session correctly if no settings are provided""" + runner = RealtimeRunner(mock_agent, model=mock_model) + + with patch("agents.realtime.runner.RealtimeSession") as mock_session_class: + mock_session = Mock(spec=RealtimeSession) + mock_session_class.return_value = mock_session + + session = await runner.run() + + # Verify session was created with correct parameters + mock_session_class.assert_called_once() + call_args = mock_session_class.call_args + + assert call_args[1]["model"] == mock_model + assert call_args[1]["agent"] == mock_agent + assert call_args[1]["context"] is None + + # Verify model_config contains expected settings from agent + model_config = call_args[1]["model_config"] + assert model_config == snapshot( + { + "initial_model_settings": { + "instructions": "Test instructions", + "tools": [{"type": "function", "name": "test_tool"}], + } + } + ) + + assert session == mock_session + + +@pytest.mark.asyncio +async def test_run_creates_session_with_settings_only_in_init(mock_agent, mock_model): + """Test that it creates a session with the right settings if they are provided only in init""" + config = RealtimeRunConfig( + model_settings=RealtimeSessionModelSettings(model_name="gpt-4o-realtime", voice="nova") + ) + runner = RealtimeRunner(mock_agent, model=mock_model, config=config) + + with patch("agents.realtime.runner.RealtimeSession") as mock_session_class: + mock_session = Mock(spec=RealtimeSession) + mock_session_class.return_value = mock_session + + _ = await runner.run() + + # Verify session was created with config overrides + call_args = mock_session_class.call_args + model_config = call_args[1]["model_config"] + + # Should have agent settings plus config overrides + assert model_config == snapshot( + { + "initial_model_settings": { + "instructions": "Test instructions", + "tools": [{"type": "function", "name": "test_tool"}], + "model_name": "gpt-4o-realtime", + "voice": "nova", + } + } + ) + + +@pytest.mark.asyncio +async def test_run_creates_session_with_settings_in_both_init_and_run_overrides( + mock_agent, mock_model +): + """Test settings in both init and run() - init should override run()""" + init_config = RealtimeRunConfig( + model_settings=RealtimeSessionModelSettings(model_name="gpt-4o-realtime", voice="nova") + ) + runner = RealtimeRunner(mock_agent, model=mock_model, config=init_config) + + run_model_config: RealtimeModelConfig = { + "initial_model_settings": RealtimeSessionModelSettings( + voice="alloy", input_audio_format="pcm16" + ) + } + + with patch("agents.realtime.runner.RealtimeSession") as mock_session_class: + mock_session = Mock(spec=RealtimeSession) + mock_session_class.return_value = mock_session + + _ = await runner.run(model_config=run_model_config) + + # Verify run() settings override init settings + call_args = mock_session_class.call_args + model_config = call_args[1]["model_config"] + + # Should have agent settings, then init config, then run config overrides + assert model_config == snapshot( + { + "initial_model_settings": { + "voice": "nova", + "input_audio_format": "pcm16", + "instructions": "Test instructions", + "tools": [{"type": "function", "name": "test_tool"}], + "model_name": "gpt-4o-realtime", + } + } + ) + + +@pytest.mark.asyncio +async def test_run_creates_session_with_settings_only_in_run(mock_agent, mock_model): + """Test settings provided only in run()""" + runner = RealtimeRunner(mock_agent, model=mock_model) + + run_model_config: RealtimeModelConfig = { + "initial_model_settings": RealtimeSessionModelSettings( + model_name="gpt-4o-realtime-preview", voice="shimmer", modalities=["text", "audio"] + ) + } + + with patch("agents.realtime.runner.RealtimeSession") as mock_session_class: + mock_session = Mock(spec=RealtimeSession) + mock_session_class.return_value = mock_session + + _ = await runner.run(model_config=run_model_config) + + # Verify run() settings are applied + call_args = mock_session_class.call_args + model_config = call_args[1]["model_config"] + + # Should have agent settings plus run() settings + assert model_config == snapshot( + { + "initial_model_settings": { + "model_name": "gpt-4o-realtime-preview", + "voice": "shimmer", + "modalities": ["text", "audio"], + "instructions": "Test instructions", + "tools": [{"type": "function", "name": "test_tool"}], + } + } + ) + + +@pytest.mark.asyncio +async def test_run_with_context_parameter(mock_agent, mock_model): + """Test that context parameter is passed through to session""" + runner = RealtimeRunner(mock_agent, model=mock_model) + test_context = {"user_id": "test123"} + + with patch("agents.realtime.runner.RealtimeSession") as mock_session_class: + mock_session = Mock(spec=RealtimeSession) + mock_session_class.return_value = mock_session + + await runner.run(context=test_context) + + call_args = mock_session_class.call_args + assert call_args[1]["context"] == test_context + + +@pytest.mark.asyncio +async def test_get_model_settings_with_none_values(mock_model): + """Test _get_model_settings handles None values from agent properly""" + agent = Mock(spec=RealtimeAgent) + agent.get_system_prompt = AsyncMock(return_value=None) + agent.get_all_tools = AsyncMock(return_value=None) + + runner = RealtimeRunner(agent, model=mock_model) + + with patch("agents.realtime.runner.RealtimeSession"): + await runner.run() + + # Should not crash and agent methods should be called + agent.get_system_prompt.assert_called_once() + agent.get_all_tools.assert_called_once() From 401cdc51b0d76bfc8ef1475456a821ecec4808ee Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 20:33:07 -0400 Subject: [PATCH 197/337] Tests for realtime session --- src/agents/realtime/session.py | 18 +- tests/realtime/test_session.py | 948 +++++++++++++++++++++++++++++++++ 2 files changed, 953 insertions(+), 13 deletions(-) create mode 100644 tests/realtime/test_session.py diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index 927e74e9f..df80c063f 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -81,7 +81,6 @@ def __init__( self._model_config = model_config or {} self._event_queue: asyncio.Queue[RealtimeSessionEvent] = asyncio.Queue() self._closed = False - self._background_task: asyncio.Task[None] | None = None async def __aenter__(self) -> RealtimeSession: """Start the session by connecting to the model. After this, you will be able to stream @@ -129,14 +128,6 @@ async def close(self) -> None: self._model.remove_listener(self) await self._model.close() - # Cancel any background tasks - if self._background_task and not self._background_task.done(): - self._background_task.cancel() - try: - await self._background_task - except asyncio.CancelledError: - pass - async def send_message(self, message: RealtimeUserInput) -> None: """Send a message to the model.""" await self._model.send_message(message) @@ -155,8 +146,7 @@ async def on_event(self, event: RealtimeModelEvent) -> None: if event.type == "error": await self._put_event(RealtimeError(info=self._event_info, error=event.error)) elif event.type == "function_call": - # Handle tool calls in the background to avoid blocking event stream - self._background_task = asyncio.create_task(self._handle_tool_call(event)) + await self._handle_tool_call(event) elif event.type == "audio": await self._put_event(RealtimeAudio(info=self._event_info, audio=event)) elif event.type == "audio_interrupted": @@ -164,7 +154,7 @@ async def on_event(self, event: RealtimeModelEvent) -> None: elif event.type == "audio_done": await self._put_event(RealtimeAudioEnd(info=self._event_info)) elif event.type == "conversation.item.input_audio_transcription.completed": - self._history = self._get_new_history(self._history, event) + self._history = RealtimeSession._get_new_history(self._history, event) await self._put_event( RealtimeHistoryUpdated(info=self._event_info, history=self._history) ) @@ -250,8 +240,9 @@ async def _handle_tool_call(self, event: RealtimeModelToolCallEvent) -> None: # TODO (rm) Add error handling pass + @classmethod def _get_new_history( - self, + cls, old_history: list[RealtimeItem], event: RealtimeModelInputAudioTranscriptionCompletedEvent | RealtimeItem, ) -> list[RealtimeItem]: @@ -296,5 +287,6 @@ def _get_new_history( new_history = old_history.copy() new_history.insert(previous_index + 1, event) return new_history + # Otherwise, add it to the end return old_history + [event] diff --git a/tests/realtime/test_session.py b/tests/realtime/test_session.py new file mode 100644 index 000000000..5233ec482 --- /dev/null +++ b/tests/realtime/test_session.py @@ -0,0 +1,948 @@ +from typing import cast +from unittest.mock import AsyncMock, Mock + +import pytest + +from agents.handoffs import Handoff +from agents.realtime.agent import RealtimeAgent +from agents.realtime.events import ( + RealtimeAgentEndEvent, + RealtimeAgentStartEvent, + RealtimeAudio, + RealtimeAudioEnd, + RealtimeAudioInterrupted, + RealtimeError, + RealtimeHistoryAdded, + RealtimeHistoryUpdated, + RealtimeRawModelEvent, + RealtimeToolEnd, + RealtimeToolStart, +) +from agents.realtime.items import ( + AssistantMessageItem, + AssistantText, + InputAudio, + InputText, + RealtimeItem, + UserMessageItem, +) +from agents.realtime.model import RealtimeModel +from agents.realtime.model_events import ( + RealtimeModelAudioDoneEvent, + RealtimeModelAudioEvent, + RealtimeModelAudioInterruptedEvent, + RealtimeModelConnectionStatusEvent, + RealtimeModelErrorEvent, + RealtimeModelInputAudioTranscriptionCompletedEvent, + RealtimeModelItemDeletedEvent, + RealtimeModelItemUpdatedEvent, + RealtimeModelOtherEvent, + RealtimeModelToolCallEvent, + RealtimeModelTranscriptDeltaEvent, + RealtimeModelTurnEndedEvent, + RealtimeModelTurnStartedEvent, +) +from agents.realtime.session import RealtimeSession +from agents.tool import FunctionTool +from agents.tool_context import ToolContext + + +class MockRealtimeModel(RealtimeModel): + def __init__(self): + super().__init__() + self.listeners = [] + self.connect_called = False + self.close_called = False + self.sent_messages = [] + self.sent_audio = [] + self.sent_tool_outputs = [] + self.interrupts_called = 0 + + async def connect(self, options=None): + self.connect_called = True + + def add_listener(self, listener): + self.listeners.append(listener) + + def remove_listener(self, listener): + if listener in self.listeners: + self.listeners.remove(listener) + + async def send_event(self, event): + pass + + async def send_message(self, message, other_event_data=None): + self.sent_messages.append(message) + + async def send_audio(self, audio, commit=False): + self.sent_audio.append((audio, commit)) + + async def send_tool_output(self, tool_call, output, start_response=True): + self.sent_tool_outputs.append((tool_call, output, start_response)) + + async def interrupt(self): + self.interrupts_called += 1 + + async def close(self): + self.close_called = True + + +@pytest.fixture +def mock_agent(): + agent = Mock(spec=RealtimeAgent) + agent.get_all_tools = AsyncMock(return_value=[]) + return agent + + +@pytest.fixture +def mock_model(): + return MockRealtimeModel() + + +@pytest.fixture +def mock_function_tool(): + tool = Mock(spec=FunctionTool) + tool.name = "test_function" + tool.on_invoke_tool = AsyncMock(return_value="function_result") + return tool + + +@pytest.fixture +def mock_handoff(): + handoff = Mock(spec=Handoff) + handoff.name = "test_handoff" + return handoff + + +class TestEventHandling: + """Test suite for event handling and transformation in RealtimeSession.on_event""" + + @pytest.mark.asyncio + async def test_error_event_transformation(self, mock_model, mock_agent): + """Test that error events are properly transformed and queued""" + session = RealtimeSession(mock_model, mock_agent, None) + + error_event = RealtimeModelErrorEvent(error="Test error") + + await session.on_event(error_event) + + # Check that events were queued + assert session._event_queue.qsize() == 2 + + # First event should be raw model event + raw_event = await session._event_queue.get() + assert isinstance(raw_event, RealtimeRawModelEvent) + assert raw_event.data == error_event + + # Second event should be transformed error event + error_session_event = await session._event_queue.get() + assert isinstance(error_session_event, RealtimeError) + assert error_session_event.error == "Test error" + + @pytest.mark.asyncio + async def test_audio_events_transformation(self, mock_model, mock_agent): + """Test that audio-related events are properly transformed""" + session = RealtimeSession(mock_model, mock_agent, None) + + # Test audio event + audio_event = RealtimeModelAudioEvent(data=b"audio_data", response_id="resp_1") + await session.on_event(audio_event) + + # Test audio interrupted event + interrupted_event = RealtimeModelAudioInterruptedEvent() + await session.on_event(interrupted_event) + + # Test audio done event + done_event = RealtimeModelAudioDoneEvent() + await session.on_event(done_event) + + # Should have 6 events total (2 per event: raw + transformed) + assert session._event_queue.qsize() == 6 + + # Check audio event transformation + await session._event_queue.get() # raw event + audio_session_event = await session._event_queue.get() + assert isinstance(audio_session_event, RealtimeAudio) + assert audio_session_event.audio == audio_event + + # Check audio interrupted transformation + await session._event_queue.get() # raw event + interrupted_session_event = await session._event_queue.get() + assert isinstance(interrupted_session_event, RealtimeAudioInterrupted) + + # Check audio done transformation + await session._event_queue.get() # raw event + done_session_event = await session._event_queue.get() + assert isinstance(done_session_event, RealtimeAudioEnd) + + @pytest.mark.asyncio + async def test_turn_events_transformation(self, mock_model, mock_agent): + """Test that turn start/end events are properly transformed""" + session = RealtimeSession(mock_model, mock_agent, None) + + # Test turn started event + turn_started = RealtimeModelTurnStartedEvent() + await session.on_event(turn_started) + + # Test turn ended event + turn_ended = RealtimeModelTurnEndedEvent() + await session.on_event(turn_ended) + + # Should have 4 events total (2 per event: raw + transformed) + assert session._event_queue.qsize() == 4 + + # Check turn started transformation + await session._event_queue.get() # raw event + start_session_event = await session._event_queue.get() + assert isinstance(start_session_event, RealtimeAgentStartEvent) + assert start_session_event.agent == mock_agent + + # Check turn ended transformation + await session._event_queue.get() # raw event + end_session_event = await session._event_queue.get() + assert isinstance(end_session_event, RealtimeAgentEndEvent) + assert end_session_event.agent == mock_agent + + @pytest.mark.asyncio + async def test_transcription_completed_event_updates_history(self, mock_model, mock_agent): + """Test that transcription completed events update history and emit events""" + session = RealtimeSession(mock_model, mock_agent, None) + + # Set up initial history with an audio message + initial_item = UserMessageItem( + item_id="item_1", role="user", content=[InputAudio(transcript=None)] + ) + session._history = [initial_item] + + # Create transcription completed event + transcription_event = RealtimeModelInputAudioTranscriptionCompletedEvent( + item_id="item_1", transcript="Hello world" + ) + + await session.on_event(transcription_event) + + # Check that history was updated + assert len(session._history) == 1 + updated_item = session._history[0] + assert updated_item.content[0].transcript == "Hello world" # type: ignore + assert updated_item.status == "completed" # type: ignore + + # Should have 2 events: raw + history updated + assert session._event_queue.qsize() == 2 + + await session._event_queue.get() # raw event + history_event = await session._event_queue.get() + assert isinstance(history_event, RealtimeHistoryUpdated) + assert len(history_event.history) == 1 + + @pytest.mark.asyncio + async def test_item_updated_event_adds_new_item(self, mock_model, mock_agent): + """Test that item_updated events add new items to history""" + session = RealtimeSession(mock_model, mock_agent, None) + + new_item = AssistantMessageItem( + item_id="new_item", role="assistant", content=[AssistantText(text="Hello")] + ) + + item_updated_event = RealtimeModelItemUpdatedEvent(item=new_item) + + await session.on_event(item_updated_event) + + # Check that item was added to history + assert len(session._history) == 1 + assert session._history[0] == new_item + + # Should have 2 events: raw + history added + assert session._event_queue.qsize() == 2 + + await session._event_queue.get() # raw event + history_event = await session._event_queue.get() + assert isinstance(history_event, RealtimeHistoryAdded) + assert history_event.item == new_item + + @pytest.mark.asyncio + async def test_item_updated_event_updates_existing_item(self, mock_model, mock_agent): + """Test that item_updated events update existing items in history""" + session = RealtimeSession(mock_model, mock_agent, None) + + # Set up initial history + initial_item = AssistantMessageItem( + item_id="existing_item", role="assistant", content=[AssistantText(text="Initial")] + ) + session._history = [initial_item] + + # Create updated version + updated_item = AssistantMessageItem( + item_id="existing_item", role="assistant", content=[AssistantText(text="Updated")] + ) + + item_updated_event = RealtimeModelItemUpdatedEvent(item=updated_item) + + await session.on_event(item_updated_event) + + # Check that item was updated + assert len(session._history) == 1 + updated_item = cast(AssistantMessageItem, session._history[0]) + assert cast(AssistantText, updated_item.content[0]).text == "Updated" + + # Should have 2 events: raw + history updated (not added) + assert session._event_queue.qsize() == 2 + + await session._event_queue.get() # raw event + history_event = await session._event_queue.get() + assert isinstance(history_event, RealtimeHistoryUpdated) + + @pytest.mark.asyncio + async def test_item_deleted_event_removes_item(self, mock_model, mock_agent): + """Test that item_deleted events remove items from history""" + session = RealtimeSession(mock_model, mock_agent, None) + + # Set up initial history with multiple items + item1 = AssistantMessageItem( + item_id="item_1", role="assistant", content=[AssistantText(text="First")] + ) + item2 = AssistantMessageItem( + item_id="item_2", role="assistant", content=[AssistantText(text="Second")] + ) + session._history = [item1, item2] + + # Delete first item + delete_event = RealtimeModelItemDeletedEvent(item_id="item_1") + + await session.on_event(delete_event) + + # Check that item was removed + assert len(session._history) == 1 + assert session._history[0].item_id == "item_2" + + # Should have 2 events: raw + history updated + assert session._event_queue.qsize() == 2 + + await session._event_queue.get() # raw event + history_event = await session._event_queue.get() + assert isinstance(history_event, RealtimeHistoryUpdated) + assert len(history_event.history) == 1 + + @pytest.mark.asyncio + async def test_ignored_events_only_generate_raw_events(self, mock_model, mock_agent): + """Test that ignored events (transcript_delta, connection_status, other) only generate raw + events""" + session = RealtimeSession(mock_model, mock_agent, None) + + # Test transcript delta (should be ignored per TODO comment) + transcript_event = RealtimeModelTranscriptDeltaEvent( + item_id="item_1", delta="hello", response_id="resp_1" + ) + await session.on_event(transcript_event) + + # Test connection status (should be ignored) + connection_event = RealtimeModelConnectionStatusEvent(status="connected") + await session.on_event(connection_event) + + # Test other event (should be ignored) + other_event = RealtimeModelOtherEvent(data={"custom": "data"}) + await session.on_event(other_event) + + # Should only have 3 raw events (no transformed events) + assert session._event_queue.qsize() == 3 + + for _ in range(3): + event = await session._event_queue.get() + assert isinstance(event, RealtimeRawModelEvent) + + @pytest.mark.asyncio + async def test_function_call_event_triggers_tool_handling(self, mock_model, mock_agent): + """Test that function_call events trigger tool call handling""" + session = RealtimeSession(mock_model, mock_agent, None) + + # Create function call event + function_call_event = RealtimeModelToolCallEvent( + name="test_function", call_id="call_123", arguments='{"param": "value"}' + ) + + # We'll test the detailed tool handling in a separate test class + # Here we just verify that it gets to the handler + with pytest.MonkeyPatch().context() as m: + handle_tool_call_mock = AsyncMock() + m.setattr(session, "_handle_tool_call", handle_tool_call_mock) + + await session.on_event(function_call_event) + + # Should have called the tool handler + handle_tool_call_mock.assert_called_once_with(function_call_event) + + # Should still have raw event + assert session._event_queue.qsize() == 1 + raw_event = await session._event_queue.get() + assert isinstance(raw_event, RealtimeRawModelEvent) + assert raw_event.data == function_call_event + + +class TestHistoryManagement: + """Test suite for history management and audio transcription in + RealtimeSession._get_new_history""" + + def test_merge_transcript_into_existing_audio_message(self): + """Test merging audio transcript into existing placeholder input_audio message""" + # Create initial history with audio message without transcript + initial_item = UserMessageItem( + item_id="item_1", + role="user", + content=[ + InputText(text="Before audio"), + InputAudio(transcript=None, audio="audio_data"), + InputText(text="After audio"), + ], + ) + old_history = [initial_item] + + # Create transcription completed event + transcription_event = RealtimeModelInputAudioTranscriptionCompletedEvent( + item_id="item_1", transcript="Hello world" + ) + + # Apply the history update + new_history = RealtimeSession._get_new_history(cast(list[RealtimeItem], old_history), transcription_event) + + # Verify the transcript was merged + assert len(new_history) == 1 + updated_item = cast(UserMessageItem, new_history[0]) + assert updated_item.item_id == "item_1" + assert hasattr(updated_item, "status") and updated_item.status == "completed" + assert len(updated_item.content) == 3 + + # Check that audio content got transcript but other content unchanged + assert cast(InputText, updated_item.content[0]).text == "Before audio" + assert cast(InputAudio, updated_item.content[1]).transcript == "Hello world" + assert cast(InputAudio, updated_item.content[1]).audio == "audio_data" # Should preserve audio data + assert cast(InputText, updated_item.content[2]).text == "After audio" + + def test_merge_transcript_preserves_other_items(self): + """Test that merging transcript preserves other items in history""" + # Create history with multiple items + item1 = UserMessageItem( + item_id="item_1", role="user", content=[InputText(text="First message")] + ) + item2 = UserMessageItem( + item_id="item_2", role="user", content=[InputAudio(transcript=None)] + ) + item3 = AssistantMessageItem( + item_id="item_3", role="assistant", content=[AssistantText(text="Third message")] + ) + old_history = [item1, item2, item3] + + # Create transcription event for item_2 + transcription_event = RealtimeModelInputAudioTranscriptionCompletedEvent( + item_id="item_2", transcript="Transcribed audio" + ) + + new_history = RealtimeSession._get_new_history(cast(list[RealtimeItem], old_history), transcription_event) + + # Should have same number of items + assert len(new_history) == 3 + + # First and third items should be unchanged + assert new_history[0] == item1 + assert new_history[2] == item3 + + # Second item should have transcript + updated_item2 = cast(UserMessageItem, new_history[1]) + assert updated_item2.item_id == "item_2" + assert cast(InputAudio, updated_item2.content[0]).transcript == "Transcribed audio" + assert hasattr(updated_item2, "status") and updated_item2.status == "completed" + + def test_merge_transcript_only_affects_matching_audio_content(self): + """Test that transcript merge only affects audio content, not text content""" + # Create item with mixed content including multiple audio items + item = UserMessageItem( + item_id="item_1", + role="user", + content=[ + InputText(text="Text content"), + InputAudio(transcript=None, audio="audio1"), + InputAudio(transcript="existing", audio="audio2"), + InputText(text="More text"), + ], + ) + old_history = [item] + + transcription_event = RealtimeModelInputAudioTranscriptionCompletedEvent( + item_id="item_1", transcript="New transcript" + ) + + new_history = RealtimeSession._get_new_history(cast(list[RealtimeItem], old_history), transcription_event) + + updated_item = cast(UserMessageItem, new_history[0]) + + # Text content should be unchanged + assert cast(InputText, updated_item.content[0]).text == "Text content" + assert cast(InputText, updated_item.content[3]).text == "More text" + + # All audio content should have the new transcript (current implementation overwrites all) + assert cast(InputAudio, updated_item.content[1]).transcript == "New transcript" + assert ( + cast(InputAudio, updated_item.content[2]).transcript == "New transcript" + ) # Implementation overwrites existing + + def test_update_existing_item_by_id(self): + """Test updating an existing item by item_id""" + # Create initial history + original_item = AssistantMessageItem( + item_id="item_1", role="assistant", content=[AssistantText(text="Original")] + ) + old_history = [original_item] + + # Create updated version of same item + updated_item = AssistantMessageItem( + item_id="item_1", role="assistant", content=[AssistantText(text="Updated")] + ) + + new_history = RealtimeSession._get_new_history(cast(list[RealtimeItem], old_history), updated_item) + + # Should have same number of items + assert len(new_history) == 1 + + # Item should be updated + result_item = cast(AssistantMessageItem, new_history[0]) + assert result_item.item_id == "item_1" + assert cast(AssistantText, result_item.content[0]).text == "Updated" + + def test_update_existing_item_preserves_order(self): + """Test that updating existing item preserves its position in history""" + # Create history with multiple items + item1 = AssistantMessageItem( + item_id="item_1", role="assistant", content=[AssistantText(text="First")] + ) + item2 = AssistantMessageItem( + item_id="item_2", role="assistant", content=[AssistantText(text="Second")] + ) + item3 = AssistantMessageItem( + item_id="item_3", role="assistant", content=[AssistantText(text="Third")] + ) + old_history = [item1, item2, item3] + + # Update middle item + updated_item2 = AssistantMessageItem( + item_id="item_2", role="assistant", content=[AssistantText(text="Updated Second")] + ) + + new_history = RealtimeSession._get_new_history(cast(list[RealtimeItem], old_history), updated_item2) + + # Should have same number of items in same order + assert len(new_history) == 3 + assert new_history[0].item_id == "item_1" + assert new_history[1].item_id == "item_2" + assert new_history[2].item_id == "item_3" + + # Middle item should be updated + updated_result = cast(AssistantMessageItem, new_history[1]) + assert cast(AssistantText, updated_result.content[0]).text == "Updated Second" + + # Other items should be unchanged + item1_result = cast(AssistantMessageItem, new_history[0]) + item3_result = cast(AssistantMessageItem, new_history[2]) + assert cast(AssistantText, item1_result.content[0]).text == "First" + assert cast(AssistantText, item3_result.content[0]).text == "Third" + + def test_insert_new_item_after_previous_item(self): + """Test inserting new item after specified previous_item_id""" + # Create initial history + item1 = AssistantMessageItem( + item_id="item_1", role="assistant", content=[AssistantText(text="First")] + ) + item3 = AssistantMessageItem( + item_id="item_3", role="assistant", content=[AssistantText(text="Third")] + ) + old_history = [item1, item3] + + # Create new item to insert between them + new_item = AssistantMessageItem( + item_id="item_2", + previous_item_id="item_1", + role="assistant", + content=[AssistantText(text="Second")], + ) + + new_history = RealtimeSession._get_new_history(cast(list[RealtimeItem], old_history), new_item) + + # Should have one more item + assert len(new_history) == 3 + + # Items should be in correct order + assert new_history[0].item_id == "item_1" + assert new_history[1].item_id == "item_2" + assert new_history[2].item_id == "item_3" + + # Content should be correct + item2_result = cast(AssistantMessageItem, new_history[1]) + assert cast(AssistantText, item2_result.content[0]).text == "Second" + + def test_insert_new_item_after_nonexistent_previous_item(self): + """Test that item with nonexistent previous_item_id gets added to end""" + # Create initial history + item1 = AssistantMessageItem( + item_id="item_1", role="assistant", content=[AssistantText(text="First")] + ) + old_history = [item1] + + # Create new item with nonexistent previous_item_id + new_item = AssistantMessageItem( + item_id="item_2", + previous_item_id="nonexistent", + role="assistant", + content=[AssistantText(text="Second")], + ) + + new_history = RealtimeSession._get_new_history(cast(list[RealtimeItem], old_history), new_item) + + # Should add to end when previous_item_id not found + assert len(new_history) == 2 + assert new_history[0].item_id == "item_1" + assert new_history[1].item_id == "item_2" + + def test_add_new_item_to_end_when_no_previous_item_id(self): + """Test adding new item to end when no previous_item_id is specified""" + # Create initial history + item1 = AssistantMessageItem( + item_id="item_1", role="assistant", content=[AssistantText(text="First")] + ) + old_history = [item1] + + # Create new item without previous_item_id + new_item = AssistantMessageItem( + item_id="item_2", role="assistant", content=[AssistantText(text="Second")] + ) + + new_history = RealtimeSession._get_new_history(cast(list[RealtimeItem], old_history), new_item) + + # Should add to end + assert len(new_history) == 2 + assert new_history[0].item_id == "item_1" + assert new_history[1].item_id == "item_2" + + def test_add_first_item_to_empty_history(self): + """Test adding first item to empty history""" + old_history: list[RealtimeItem] = [] + + new_item = AssistantMessageItem( + item_id="item_1", role="assistant", content=[AssistantText(text="First")] + ) + + new_history = RealtimeSession._get_new_history(old_history, new_item) + + assert len(new_history) == 1 + assert new_history[0].item_id == "item_1" + + def test_complex_insertion_scenario(self): + """Test complex scenario with multiple insertions and updates""" + # Start with items A and C + itemA = AssistantMessageItem( + item_id="A", role="assistant", content=[AssistantText(text="A")] + ) + itemC = AssistantMessageItem( + item_id="C", role="assistant", content=[AssistantText(text="C")] + ) + history: list[RealtimeItem] = [itemA, itemC] + + # Insert B after A + itemB = AssistantMessageItem( + item_id="B", previous_item_id="A", role="assistant", content=[AssistantText(text="B")] + ) + history = RealtimeSession._get_new_history(history, itemB) + + # Should be A, B, C + assert len(history) == 3 + assert [item.item_id for item in history] == ["A", "B", "C"] + + # Insert D after B + itemD = AssistantMessageItem( + item_id="D", previous_item_id="B", role="assistant", content=[AssistantText(text="D")] + ) + history = RealtimeSession._get_new_history(history, itemD) + + # Should be A, B, D, C + assert len(history) == 4 + assert [item.item_id for item in history] == ["A", "B", "D", "C"] + + # Update B + updated_itemB = AssistantMessageItem( + item_id="B", role="assistant", content=[AssistantText(text="Updated B")] + ) + history = RealtimeSession._get_new_history(history, updated_itemB) + + # Should still be A, B, D, C but B is updated + assert len(history) == 4 + assert [item.item_id for item in history] == ["A", "B", "D", "C"] + itemB_result = cast(AssistantMessageItem, history[1]) + assert cast(AssistantText, itemB_result.content[0]).text == "Updated B" + + +# Test 3: Tool call execution flow (_handle_tool_call method) +class TestToolCallExecution: + """Test suite for tool call execution flow in RealtimeSession._handle_tool_call""" + + @pytest.mark.asyncio + async def test_function_tool_execution_success( + self, mock_model, mock_agent, mock_function_tool + ): + """Test successful function tool execution""" + # Set up agent to return our mock tool + mock_agent.get_all_tools.return_value = [mock_function_tool] + + session = RealtimeSession(mock_model, mock_agent, None) + + # Create function call event + tool_call_event = RealtimeModelToolCallEvent( + name="test_function", call_id="call_123", arguments='{"param": "value"}' + ) + + await session._handle_tool_call(tool_call_event) + + # Verify the flow + mock_agent.get_all_tools.assert_called_once() + mock_function_tool.on_invoke_tool.assert_called_once() + + # Check the tool context was created correctly + call_args = mock_function_tool.on_invoke_tool.call_args + tool_context = call_args[0][0] + assert isinstance(tool_context, ToolContext) + assert call_args[0][1] == '{"param": "value"}' + + # Verify tool output was sent to model + assert len(mock_model.sent_tool_outputs) == 1 + sent_call, sent_output, start_response = mock_model.sent_tool_outputs[0] + assert sent_call == tool_call_event + assert sent_output == "function_result" + assert start_response is True + + # Verify events were queued + assert session._event_queue.qsize() == 2 + + # Check tool start event + tool_start_event = await session._event_queue.get() + assert isinstance(tool_start_event, RealtimeToolStart) + assert tool_start_event.tool == mock_function_tool + assert tool_start_event.agent == mock_agent + + # Check tool end event + tool_end_event = await session._event_queue.get() + assert isinstance(tool_end_event, RealtimeToolEnd) + assert tool_end_event.tool == mock_function_tool + assert tool_end_event.output == "function_result" + assert tool_end_event.agent == mock_agent + + @pytest.mark.asyncio + async def test_function_tool_with_multiple_tools_available(self, mock_model, mock_agent): + """Test function tool execution when multiple tools are available""" + # Create multiple mock tools + tool1 = Mock(spec=FunctionTool) + tool1.name = "tool_one" + tool1.on_invoke_tool = AsyncMock(return_value="result_one") + + tool2 = Mock(spec=FunctionTool) + tool2.name = "tool_two" + tool2.on_invoke_tool = AsyncMock(return_value="result_two") + + handoff = Mock(spec=Handoff) + handoff.name = "handoff_tool" + + # Set up agent to return all tools + mock_agent.get_all_tools.return_value = [tool1, tool2, handoff] + + session = RealtimeSession(mock_model, mock_agent, None) + + # Call tool_two + tool_call_event = RealtimeModelToolCallEvent( + name="tool_two", call_id="call_456", arguments='{"test": "data"}' + ) + + await session._handle_tool_call(tool_call_event) + + # Only tool2 should have been called + tool1.on_invoke_tool.assert_not_called() + tool2.on_invoke_tool.assert_called_once() + + # Verify correct result was sent + sent_call, sent_output, _ = mock_model.sent_tool_outputs[0] + assert sent_output == "result_two" + + @pytest.mark.asyncio + async def test_handoff_tool_handling_todo(self, mock_model, mock_agent, mock_handoff): + """Test that handoff tools are recognized but not yet implemented""" + # Set up agent to return handoff tool + mock_agent.get_all_tools.return_value = [mock_handoff] + + session = RealtimeSession(mock_model, mock_agent, None) + + tool_call_event = RealtimeModelToolCallEvent( + name="test_handoff", call_id="call_789", arguments="{}" + ) + + await session._handle_tool_call(tool_call_event) + + # Should not have sent any tool outputs (handoffs not implemented) + assert len(mock_model.sent_tool_outputs) == 0 + + # Should not have queued any events (handoffs not implemented) + assert session._event_queue.qsize() == 0 + + @pytest.mark.asyncio + async def test_unknown_tool_handling_todo(self, mock_model, mock_agent, mock_function_tool): + """Test that unknown tools are handled gracefully (TODO: add error handling)""" + # Set up agent to return different tool than what's called + mock_function_tool.name = "known_tool" + mock_agent.get_all_tools.return_value = [mock_function_tool] + + session = RealtimeSession(mock_model, mock_agent, None) + + # Call unknown tool + tool_call_event = RealtimeModelToolCallEvent( + name="unknown_tool", call_id="call_unknown", arguments="{}" + ) + + await session._handle_tool_call(tool_call_event) + + # Should not have called any tools + mock_function_tool.on_invoke_tool.assert_not_called() + + # Should not have sent any tool outputs + assert len(mock_model.sent_tool_outputs) == 0 + + # Should not have queued any events + assert session._event_queue.qsize() == 0 + + @pytest.mark.asyncio + async def test_function_tool_exception_handling( + self, mock_model, mock_agent, mock_function_tool + ): + """Test that exceptions in function tools are handled (currently they propagate)""" + # Set up tool to raise exception + mock_function_tool.on_invoke_tool.side_effect = ValueError("Tool error") + mock_agent.get_all_tools.return_value = [mock_function_tool] + + session = RealtimeSession(mock_model, mock_agent, None) + + tool_call_event = RealtimeModelToolCallEvent( + name="test_function", call_id="call_error", arguments="{}" + ) + + # Currently exceptions propagate (no error handling implemented) + with pytest.raises(ValueError, match="Tool error"): + await session._handle_tool_call(tool_call_event) + + # Tool start event should have been queued before the error + assert session._event_queue.qsize() == 1 + tool_start_event = await session._event_queue.get() + assert isinstance(tool_start_event, RealtimeToolStart) + + # But no tool output should have been sent and no end event queued + assert len(mock_model.sent_tool_outputs) == 0 + + @pytest.mark.asyncio + async def test_tool_call_with_complex_arguments( + self, mock_model, mock_agent, mock_function_tool + ): + """Test tool call with complex JSON arguments""" + mock_agent.get_all_tools.return_value = [mock_function_tool] + + session = RealtimeSession(mock_model, mock_agent, None) + + # Complex arguments + complex_args = '{"nested": {"data": [1, 2, 3]}, "bool": true, "null": null}' + + tool_call_event = RealtimeModelToolCallEvent( + name="test_function", call_id="call_complex", arguments=complex_args + ) + + await session._handle_tool_call(tool_call_event) + + # Verify arguments were passed correctly + call_args = mock_function_tool.on_invoke_tool.call_args + assert call_args[0][1] == complex_args + + @pytest.mark.asyncio + async def test_tool_call_with_custom_call_id(self, mock_model, mock_agent, mock_function_tool): + """Test that tool context receives correct call_id""" + mock_agent.get_all_tools.return_value = [mock_function_tool] + + session = RealtimeSession(mock_model, mock_agent, None) + + custom_call_id = "custom_call_id_12345" + + tool_call_event = RealtimeModelToolCallEvent( + name="test_function", call_id=custom_call_id, arguments="{}" + ) + + await session._handle_tool_call(tool_call_event) + + # Verify tool context was created with correct call_id + call_args = mock_function_tool.on_invoke_tool.call_args + tool_context = call_args[0][0] + # The call_id is used internally in ToolContext.from_agent_context + # We can't directly access it, but we can verify the context was created + assert isinstance(tool_context, ToolContext) + + @pytest.mark.asyncio + async def test_tool_result_conversion_to_string(self, mock_model, mock_agent): + """Test that tool results are converted to strings for model output""" + # Create tool that returns non-string result + tool = Mock(spec=FunctionTool) + tool.name = "test_function" + tool.on_invoke_tool = AsyncMock(return_value={"result": "data", "count": 42}) + + mock_agent.get_all_tools.return_value = [tool] + + session = RealtimeSession(mock_model, mock_agent, None) + + tool_call_event = RealtimeModelToolCallEvent( + name="test_function", call_id="call_conversion", arguments="{}" + ) + + await session._handle_tool_call(tool_call_event) + + # Verify result was converted to string + sent_call, sent_output, _ = mock_model.sent_tool_outputs[0] + assert isinstance(sent_output, str) + assert sent_output == "{'result': 'data', 'count': 42}" + + @pytest.mark.asyncio + async def test_mixed_tool_types_filtering(self, mock_model, mock_agent): + """Test that function tools and handoffs are properly separated""" + # Create mixed tools + func_tool1 = Mock(spec=FunctionTool) + func_tool1.name = "func1" + func_tool1.on_invoke_tool = AsyncMock(return_value="result1") + + handoff1 = Mock(spec=Handoff) + handoff1.name = "handoff1" + + func_tool2 = Mock(spec=FunctionTool) + func_tool2.name = "func2" + func_tool2.on_invoke_tool = AsyncMock(return_value="result2") + + handoff2 = Mock(spec=Handoff) + handoff2.name = "handoff2" + + # Add some other object that's neither (should be ignored) + other_tool = Mock() + other_tool.name = "other" + + all_tools = [func_tool1, handoff1, func_tool2, handoff2, other_tool] + mock_agent.get_all_tools.return_value = all_tools + + session = RealtimeSession(mock_model, mock_agent, None) + + # Call a function tool + tool_call_event = RealtimeModelToolCallEvent( + name="func2", call_id="call_filtering", arguments="{}" + ) + + await session._handle_tool_call(tool_call_event) + + # Only func2 should have been called + func_tool1.on_invoke_tool.assert_not_called() + func_tool2.on_invoke_tool.assert_called_once() + + # Verify result + sent_call, sent_output, _ = mock_model.sent_tool_outputs[0] + assert sent_output == "result2" From bac6d8770e46a94932f890ba76a7e3e8b59bc08b Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 20:33:07 -0400 Subject: [PATCH 198/337] Tests for realtime session --- src/agents/realtime/session.py | 18 +- tests/realtime/test_session.py | 965 +++++++++++++++++++++++++++++++++ 2 files changed, 970 insertions(+), 13 deletions(-) create mode 100644 tests/realtime/test_session.py diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index 927e74e9f..df80c063f 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -81,7 +81,6 @@ def __init__( self._model_config = model_config or {} self._event_queue: asyncio.Queue[RealtimeSessionEvent] = asyncio.Queue() self._closed = False - self._background_task: asyncio.Task[None] | None = None async def __aenter__(self) -> RealtimeSession: """Start the session by connecting to the model. After this, you will be able to stream @@ -129,14 +128,6 @@ async def close(self) -> None: self._model.remove_listener(self) await self._model.close() - # Cancel any background tasks - if self._background_task and not self._background_task.done(): - self._background_task.cancel() - try: - await self._background_task - except asyncio.CancelledError: - pass - async def send_message(self, message: RealtimeUserInput) -> None: """Send a message to the model.""" await self._model.send_message(message) @@ -155,8 +146,7 @@ async def on_event(self, event: RealtimeModelEvent) -> None: if event.type == "error": await self._put_event(RealtimeError(info=self._event_info, error=event.error)) elif event.type == "function_call": - # Handle tool calls in the background to avoid blocking event stream - self._background_task = asyncio.create_task(self._handle_tool_call(event)) + await self._handle_tool_call(event) elif event.type == "audio": await self._put_event(RealtimeAudio(info=self._event_info, audio=event)) elif event.type == "audio_interrupted": @@ -164,7 +154,7 @@ async def on_event(self, event: RealtimeModelEvent) -> None: elif event.type == "audio_done": await self._put_event(RealtimeAudioEnd(info=self._event_info)) elif event.type == "conversation.item.input_audio_transcription.completed": - self._history = self._get_new_history(self._history, event) + self._history = RealtimeSession._get_new_history(self._history, event) await self._put_event( RealtimeHistoryUpdated(info=self._event_info, history=self._history) ) @@ -250,8 +240,9 @@ async def _handle_tool_call(self, event: RealtimeModelToolCallEvent) -> None: # TODO (rm) Add error handling pass + @classmethod def _get_new_history( - self, + cls, old_history: list[RealtimeItem], event: RealtimeModelInputAudioTranscriptionCompletedEvent | RealtimeItem, ) -> list[RealtimeItem]: @@ -296,5 +287,6 @@ def _get_new_history( new_history = old_history.copy() new_history.insert(previous_index + 1, event) return new_history + # Otherwise, add it to the end return old_history + [event] diff --git a/tests/realtime/test_session.py b/tests/realtime/test_session.py new file mode 100644 index 000000000..f0abd4502 --- /dev/null +++ b/tests/realtime/test_session.py @@ -0,0 +1,965 @@ +from typing import cast +from unittest.mock import AsyncMock, Mock + +import pytest + +from agents.handoffs import Handoff +from agents.realtime.agent import RealtimeAgent +from agents.realtime.events import ( + RealtimeAgentEndEvent, + RealtimeAgentStartEvent, + RealtimeAudio, + RealtimeAudioEnd, + RealtimeAudioInterrupted, + RealtimeError, + RealtimeHistoryAdded, + RealtimeHistoryUpdated, + RealtimeRawModelEvent, + RealtimeToolEnd, + RealtimeToolStart, +) +from agents.realtime.items import ( + AssistantMessageItem, + AssistantText, + InputAudio, + InputText, + RealtimeItem, + UserMessageItem, +) +from agents.realtime.model import RealtimeModel +from agents.realtime.model_events import ( + RealtimeModelAudioDoneEvent, + RealtimeModelAudioEvent, + RealtimeModelAudioInterruptedEvent, + RealtimeModelConnectionStatusEvent, + RealtimeModelErrorEvent, + RealtimeModelInputAudioTranscriptionCompletedEvent, + RealtimeModelItemDeletedEvent, + RealtimeModelItemUpdatedEvent, + RealtimeModelOtherEvent, + RealtimeModelToolCallEvent, + RealtimeModelTranscriptDeltaEvent, + RealtimeModelTurnEndedEvent, + RealtimeModelTurnStartedEvent, +) +from agents.realtime.session import RealtimeSession +from agents.tool import FunctionTool +from agents.tool_context import ToolContext + + +class MockRealtimeModel(RealtimeModel): + def __init__(self): + super().__init__() + self.listeners = [] + self.connect_called = False + self.close_called = False + self.sent_messages = [] + self.sent_audio = [] + self.sent_tool_outputs = [] + self.interrupts_called = 0 + + async def connect(self, options=None): + self.connect_called = True + + def add_listener(self, listener): + self.listeners.append(listener) + + def remove_listener(self, listener): + if listener in self.listeners: + self.listeners.remove(listener) + + async def send_event(self, event): + pass + + async def send_message(self, message, other_event_data=None): + self.sent_messages.append(message) + + async def send_audio(self, audio, commit=False): + self.sent_audio.append((audio, commit)) + + async def send_tool_output(self, tool_call, output, start_response=True): + self.sent_tool_outputs.append((tool_call, output, start_response)) + + async def interrupt(self): + self.interrupts_called += 1 + + async def close(self): + self.close_called = True + + +@pytest.fixture +def mock_agent(): + agent = Mock(spec=RealtimeAgent) + agent.get_all_tools = AsyncMock(return_value=[]) + return agent + + +@pytest.fixture +def mock_model(): + return MockRealtimeModel() + + +@pytest.fixture +def mock_function_tool(): + tool = Mock(spec=FunctionTool) + tool.name = "test_function" + tool.on_invoke_tool = AsyncMock(return_value="function_result") + return tool + + +@pytest.fixture +def mock_handoff(): + handoff = Mock(spec=Handoff) + handoff.name = "test_handoff" + return handoff + + +class TestEventHandling: + """Test suite for event handling and transformation in RealtimeSession.on_event""" + + @pytest.mark.asyncio + async def test_error_event_transformation(self, mock_model, mock_agent): + """Test that error events are properly transformed and queued""" + session = RealtimeSession(mock_model, mock_agent, None) + + error_event = RealtimeModelErrorEvent(error="Test error") + + await session.on_event(error_event) + + # Check that events were queued + assert session._event_queue.qsize() == 2 + + # First event should be raw model event + raw_event = await session._event_queue.get() + assert isinstance(raw_event, RealtimeRawModelEvent) + assert raw_event.data == error_event + + # Second event should be transformed error event + error_session_event = await session._event_queue.get() + assert isinstance(error_session_event, RealtimeError) + assert error_session_event.error == "Test error" + + @pytest.mark.asyncio + async def test_audio_events_transformation(self, mock_model, mock_agent): + """Test that audio-related events are properly transformed""" + session = RealtimeSession(mock_model, mock_agent, None) + + # Test audio event + audio_event = RealtimeModelAudioEvent(data=b"audio_data", response_id="resp_1") + await session.on_event(audio_event) + + # Test audio interrupted event + interrupted_event = RealtimeModelAudioInterruptedEvent() + await session.on_event(interrupted_event) + + # Test audio done event + done_event = RealtimeModelAudioDoneEvent() + await session.on_event(done_event) + + # Should have 6 events total (2 per event: raw + transformed) + assert session._event_queue.qsize() == 6 + + # Check audio event transformation + await session._event_queue.get() # raw event + audio_session_event = await session._event_queue.get() + assert isinstance(audio_session_event, RealtimeAudio) + assert audio_session_event.audio == audio_event + + # Check audio interrupted transformation + await session._event_queue.get() # raw event + interrupted_session_event = await session._event_queue.get() + assert isinstance(interrupted_session_event, RealtimeAudioInterrupted) + + # Check audio done transformation + await session._event_queue.get() # raw event + done_session_event = await session._event_queue.get() + assert isinstance(done_session_event, RealtimeAudioEnd) + + @pytest.mark.asyncio + async def test_turn_events_transformation(self, mock_model, mock_agent): + """Test that turn start/end events are properly transformed""" + session = RealtimeSession(mock_model, mock_agent, None) + + # Test turn started event + turn_started = RealtimeModelTurnStartedEvent() + await session.on_event(turn_started) + + # Test turn ended event + turn_ended = RealtimeModelTurnEndedEvent() + await session.on_event(turn_ended) + + # Should have 4 events total (2 per event: raw + transformed) + assert session._event_queue.qsize() == 4 + + # Check turn started transformation + await session._event_queue.get() # raw event + start_session_event = await session._event_queue.get() + assert isinstance(start_session_event, RealtimeAgentStartEvent) + assert start_session_event.agent == mock_agent + + # Check turn ended transformation + await session._event_queue.get() # raw event + end_session_event = await session._event_queue.get() + assert isinstance(end_session_event, RealtimeAgentEndEvent) + assert end_session_event.agent == mock_agent + + @pytest.mark.asyncio + async def test_transcription_completed_event_updates_history(self, mock_model, mock_agent): + """Test that transcription completed events update history and emit events""" + session = RealtimeSession(mock_model, mock_agent, None) + + # Set up initial history with an audio message + initial_item = UserMessageItem( + item_id="item_1", role="user", content=[InputAudio(transcript=None)] + ) + session._history = [initial_item] + + # Create transcription completed event + transcription_event = RealtimeModelInputAudioTranscriptionCompletedEvent( + item_id="item_1", transcript="Hello world" + ) + + await session.on_event(transcription_event) + + # Check that history was updated + assert len(session._history) == 1 + updated_item = session._history[0] + assert updated_item.content[0].transcript == "Hello world" # type: ignore + assert updated_item.status == "completed" # type: ignore + + # Should have 2 events: raw + history updated + assert session._event_queue.qsize() == 2 + + await session._event_queue.get() # raw event + history_event = await session._event_queue.get() + assert isinstance(history_event, RealtimeHistoryUpdated) + assert len(history_event.history) == 1 + + @pytest.mark.asyncio + async def test_item_updated_event_adds_new_item(self, mock_model, mock_agent): + """Test that item_updated events add new items to history""" + session = RealtimeSession(mock_model, mock_agent, None) + + new_item = AssistantMessageItem( + item_id="new_item", role="assistant", content=[AssistantText(text="Hello")] + ) + + item_updated_event = RealtimeModelItemUpdatedEvent(item=new_item) + + await session.on_event(item_updated_event) + + # Check that item was added to history + assert len(session._history) == 1 + assert session._history[0] == new_item + + # Should have 2 events: raw + history added + assert session._event_queue.qsize() == 2 + + await session._event_queue.get() # raw event + history_event = await session._event_queue.get() + assert isinstance(history_event, RealtimeHistoryAdded) + assert history_event.item == new_item + + @pytest.mark.asyncio + async def test_item_updated_event_updates_existing_item(self, mock_model, mock_agent): + """Test that item_updated events update existing items in history""" + session = RealtimeSession(mock_model, mock_agent, None) + + # Set up initial history + initial_item = AssistantMessageItem( + item_id="existing_item", role="assistant", content=[AssistantText(text="Initial")] + ) + session._history = [initial_item] + + # Create updated version + updated_item = AssistantMessageItem( + item_id="existing_item", role="assistant", content=[AssistantText(text="Updated")] + ) + + item_updated_event = RealtimeModelItemUpdatedEvent(item=updated_item) + + await session.on_event(item_updated_event) + + # Check that item was updated + assert len(session._history) == 1 + updated_item = cast(AssistantMessageItem, session._history[0]) + assert cast(AssistantText, updated_item.content[0]).text == "Updated" + + # Should have 2 events: raw + history updated (not added) + assert session._event_queue.qsize() == 2 + + await session._event_queue.get() # raw event + history_event = await session._event_queue.get() + assert isinstance(history_event, RealtimeHistoryUpdated) + + @pytest.mark.asyncio + async def test_item_deleted_event_removes_item(self, mock_model, mock_agent): + """Test that item_deleted events remove items from history""" + session = RealtimeSession(mock_model, mock_agent, None) + + # Set up initial history with multiple items + item1 = AssistantMessageItem( + item_id="item_1", role="assistant", content=[AssistantText(text="First")] + ) + item2 = AssistantMessageItem( + item_id="item_2", role="assistant", content=[AssistantText(text="Second")] + ) + session._history = [item1, item2] + + # Delete first item + delete_event = RealtimeModelItemDeletedEvent(item_id="item_1") + + await session.on_event(delete_event) + + # Check that item was removed + assert len(session._history) == 1 + assert session._history[0].item_id == "item_2" + + # Should have 2 events: raw + history updated + assert session._event_queue.qsize() == 2 + + await session._event_queue.get() # raw event + history_event = await session._event_queue.get() + assert isinstance(history_event, RealtimeHistoryUpdated) + assert len(history_event.history) == 1 + + @pytest.mark.asyncio + async def test_ignored_events_only_generate_raw_events(self, mock_model, mock_agent): + """Test that ignored events (transcript_delta, connection_status, other) only generate raw + events""" + session = RealtimeSession(mock_model, mock_agent, None) + + # Test transcript delta (should be ignored per TODO comment) + transcript_event = RealtimeModelTranscriptDeltaEvent( + item_id="item_1", delta="hello", response_id="resp_1" + ) + await session.on_event(transcript_event) + + # Test connection status (should be ignored) + connection_event = RealtimeModelConnectionStatusEvent(status="connected") + await session.on_event(connection_event) + + # Test other event (should be ignored) + other_event = RealtimeModelOtherEvent(data={"custom": "data"}) + await session.on_event(other_event) + + # Should only have 3 raw events (no transformed events) + assert session._event_queue.qsize() == 3 + + for _ in range(3): + event = await session._event_queue.get() + assert isinstance(event, RealtimeRawModelEvent) + + @pytest.mark.asyncio + async def test_function_call_event_triggers_tool_handling(self, mock_model, mock_agent): + """Test that function_call events trigger tool call handling""" + session = RealtimeSession(mock_model, mock_agent, None) + + # Create function call event + function_call_event = RealtimeModelToolCallEvent( + name="test_function", call_id="call_123", arguments='{"param": "value"}' + ) + + # We'll test the detailed tool handling in a separate test class + # Here we just verify that it gets to the handler + with pytest.MonkeyPatch().context() as m: + handle_tool_call_mock = AsyncMock() + m.setattr(session, "_handle_tool_call", handle_tool_call_mock) + + await session.on_event(function_call_event) + + # Should have called the tool handler + handle_tool_call_mock.assert_called_once_with(function_call_event) + + # Should still have raw event + assert session._event_queue.qsize() == 1 + raw_event = await session._event_queue.get() + assert isinstance(raw_event, RealtimeRawModelEvent) + assert raw_event.data == function_call_event + + +class TestHistoryManagement: + """Test suite for history management and audio transcription in + RealtimeSession._get_new_history""" + + def test_merge_transcript_into_existing_audio_message(self): + """Test merging audio transcript into existing placeholder input_audio message""" + # Create initial history with audio message without transcript + initial_item = UserMessageItem( + item_id="item_1", + role="user", + content=[ + InputText(text="Before audio"), + InputAudio(transcript=None, audio="audio_data"), + InputText(text="After audio"), + ], + ) + old_history = [initial_item] + + # Create transcription completed event + transcription_event = RealtimeModelInputAudioTranscriptionCompletedEvent( + item_id="item_1", transcript="Hello world" + ) + + # Apply the history update + new_history = RealtimeSession._get_new_history( + cast(list[RealtimeItem], old_history), transcription_event + ) + + # Verify the transcript was merged + assert len(new_history) == 1 + updated_item = cast(UserMessageItem, new_history[0]) + assert updated_item.item_id == "item_1" + assert hasattr(updated_item, "status") and updated_item.status == "completed" + assert len(updated_item.content) == 3 + + # Check that audio content got transcript but other content unchanged + assert cast(InputText, updated_item.content[0]).text == "Before audio" + assert cast(InputAudio, updated_item.content[1]).transcript == "Hello world" + # Should preserve audio data + assert cast(InputAudio, updated_item.content[1]).audio == "audio_data" + assert cast(InputText, updated_item.content[2]).text == "After audio" + + def test_merge_transcript_preserves_other_items(self): + """Test that merging transcript preserves other items in history""" + # Create history with multiple items + item1 = UserMessageItem( + item_id="item_1", role="user", content=[InputText(text="First message")] + ) + item2 = UserMessageItem( + item_id="item_2", role="user", content=[InputAudio(transcript=None)] + ) + item3 = AssistantMessageItem( + item_id="item_3", role="assistant", content=[AssistantText(text="Third message")] + ) + old_history = [item1, item2, item3] + + # Create transcription event for item_2 + transcription_event = RealtimeModelInputAudioTranscriptionCompletedEvent( + item_id="item_2", transcript="Transcribed audio" + ) + + new_history = RealtimeSession._get_new_history( + cast(list[RealtimeItem], old_history), transcription_event + ) + + # Should have same number of items + assert len(new_history) == 3 + + # First and third items should be unchanged + assert new_history[0] == item1 + assert new_history[2] == item3 + + # Second item should have transcript + updated_item2 = cast(UserMessageItem, new_history[1]) + assert updated_item2.item_id == "item_2" + assert cast(InputAudio, updated_item2.content[0]).transcript == "Transcribed audio" + assert hasattr(updated_item2, "status") and updated_item2.status == "completed" + + def test_merge_transcript_only_affects_matching_audio_content(self): + """Test that transcript merge only affects audio content, not text content""" + # Create item with mixed content including multiple audio items + item = UserMessageItem( + item_id="item_1", + role="user", + content=[ + InputText(text="Text content"), + InputAudio(transcript=None, audio="audio1"), + InputAudio(transcript="existing", audio="audio2"), + InputText(text="More text"), + ], + ) + old_history = [item] + + transcription_event = RealtimeModelInputAudioTranscriptionCompletedEvent( + item_id="item_1", transcript="New transcript" + ) + + new_history = RealtimeSession._get_new_history( + cast(list[RealtimeItem], old_history), transcription_event + ) + + updated_item = cast(UserMessageItem, new_history[0]) + + # Text content should be unchanged + assert cast(InputText, updated_item.content[0]).text == "Text content" + assert cast(InputText, updated_item.content[3]).text == "More text" + + # All audio content should have the new transcript (current implementation overwrites all) + assert cast(InputAudio, updated_item.content[1]).transcript == "New transcript" + assert ( + cast(InputAudio, updated_item.content[2]).transcript == "New transcript" + ) # Implementation overwrites existing + + def test_update_existing_item_by_id(self): + """Test updating an existing item by item_id""" + # Create initial history + original_item = AssistantMessageItem( + item_id="item_1", role="assistant", content=[AssistantText(text="Original")] + ) + old_history = [original_item] + + # Create updated version of same item + updated_item = AssistantMessageItem( + item_id="item_1", role="assistant", content=[AssistantText(text="Updated")] + ) + + new_history = RealtimeSession._get_new_history( + cast(list[RealtimeItem], old_history), updated_item + ) + + # Should have same number of items + assert len(new_history) == 1 + + # Item should be updated + result_item = cast(AssistantMessageItem, new_history[0]) + assert result_item.item_id == "item_1" + assert cast(AssistantText, result_item.content[0]).text == "Updated" + + def test_update_existing_item_preserves_order(self): + """Test that updating existing item preserves its position in history""" + # Create history with multiple items + item1 = AssistantMessageItem( + item_id="item_1", role="assistant", content=[AssistantText(text="First")] + ) + item2 = AssistantMessageItem( + item_id="item_2", role="assistant", content=[AssistantText(text="Second")] + ) + item3 = AssistantMessageItem( + item_id="item_3", role="assistant", content=[AssistantText(text="Third")] + ) + old_history = [item1, item2, item3] + + # Update middle item + updated_item2 = AssistantMessageItem( + item_id="item_2", role="assistant", content=[AssistantText(text="Updated Second")] + ) + + new_history = RealtimeSession._get_new_history( + cast(list[RealtimeItem], old_history), updated_item2 + ) + + # Should have same number of items in same order + assert len(new_history) == 3 + assert new_history[0].item_id == "item_1" + assert new_history[1].item_id == "item_2" + assert new_history[2].item_id == "item_3" + + # Middle item should be updated + updated_result = cast(AssistantMessageItem, new_history[1]) + assert cast(AssistantText, updated_result.content[0]).text == "Updated Second" + + # Other items should be unchanged + item1_result = cast(AssistantMessageItem, new_history[0]) + item3_result = cast(AssistantMessageItem, new_history[2]) + assert cast(AssistantText, item1_result.content[0]).text == "First" + assert cast(AssistantText, item3_result.content[0]).text == "Third" + + def test_insert_new_item_after_previous_item(self): + """Test inserting new item after specified previous_item_id""" + # Create initial history + item1 = AssistantMessageItem( + item_id="item_1", role="assistant", content=[AssistantText(text="First")] + ) + item3 = AssistantMessageItem( + item_id="item_3", role="assistant", content=[AssistantText(text="Third")] + ) + old_history = [item1, item3] + + # Create new item to insert between them + new_item = AssistantMessageItem( + item_id="item_2", + previous_item_id="item_1", + role="assistant", + content=[AssistantText(text="Second")], + ) + + new_history = RealtimeSession._get_new_history( + cast(list[RealtimeItem], old_history), new_item + ) + + # Should have one more item + assert len(new_history) == 3 + + # Items should be in correct order + assert new_history[0].item_id == "item_1" + assert new_history[1].item_id == "item_2" + assert new_history[2].item_id == "item_3" + + # Content should be correct + item2_result = cast(AssistantMessageItem, new_history[1]) + assert cast(AssistantText, item2_result.content[0]).text == "Second" + + def test_insert_new_item_after_nonexistent_previous_item(self): + """Test that item with nonexistent previous_item_id gets added to end""" + # Create initial history + item1 = AssistantMessageItem( + item_id="item_1", role="assistant", content=[AssistantText(text="First")] + ) + old_history = [item1] + + # Create new item with nonexistent previous_item_id + new_item = AssistantMessageItem( + item_id="item_2", + previous_item_id="nonexistent", + role="assistant", + content=[AssistantText(text="Second")], + ) + + new_history = RealtimeSession._get_new_history( + cast(list[RealtimeItem], old_history), new_item + ) + + # Should add to end when previous_item_id not found + assert len(new_history) == 2 + assert new_history[0].item_id == "item_1" + assert new_history[1].item_id == "item_2" + + def test_add_new_item_to_end_when_no_previous_item_id(self): + """Test adding new item to end when no previous_item_id is specified""" + # Create initial history + item1 = AssistantMessageItem( + item_id="item_1", role="assistant", content=[AssistantText(text="First")] + ) + old_history = [item1] + + # Create new item without previous_item_id + new_item = AssistantMessageItem( + item_id="item_2", role="assistant", content=[AssistantText(text="Second")] + ) + + new_history = RealtimeSession._get_new_history( + cast(list[RealtimeItem], old_history), new_item + ) + + # Should add to end + assert len(new_history) == 2 + assert new_history[0].item_id == "item_1" + assert new_history[1].item_id == "item_2" + + def test_add_first_item_to_empty_history(self): + """Test adding first item to empty history""" + old_history: list[RealtimeItem] = [] + + new_item = AssistantMessageItem( + item_id="item_1", role="assistant", content=[AssistantText(text="First")] + ) + + new_history = RealtimeSession._get_new_history(old_history, new_item) + + assert len(new_history) == 1 + assert new_history[0].item_id == "item_1" + + def test_complex_insertion_scenario(self): + """Test complex scenario with multiple insertions and updates""" + # Start with items A and C + itemA = AssistantMessageItem( + item_id="A", role="assistant", content=[AssistantText(text="A")] + ) + itemC = AssistantMessageItem( + item_id="C", role="assistant", content=[AssistantText(text="C")] + ) + history: list[RealtimeItem] = [itemA, itemC] + + # Insert B after A + itemB = AssistantMessageItem( + item_id="B", previous_item_id="A", role="assistant", content=[AssistantText(text="B")] + ) + history = RealtimeSession._get_new_history(history, itemB) + + # Should be A, B, C + assert len(history) == 3 + assert [item.item_id for item in history] == ["A", "B", "C"] + + # Insert D after B + itemD = AssistantMessageItem( + item_id="D", previous_item_id="B", role="assistant", content=[AssistantText(text="D")] + ) + history = RealtimeSession._get_new_history(history, itemD) + + # Should be A, B, D, C + assert len(history) == 4 + assert [item.item_id for item in history] == ["A", "B", "D", "C"] + + # Update B + updated_itemB = AssistantMessageItem( + item_id="B", role="assistant", content=[AssistantText(text="Updated B")] + ) + history = RealtimeSession._get_new_history(history, updated_itemB) + + # Should still be A, B, D, C but B is updated + assert len(history) == 4 + assert [item.item_id for item in history] == ["A", "B", "D", "C"] + itemB_result = cast(AssistantMessageItem, history[1]) + assert cast(AssistantText, itemB_result.content[0]).text == "Updated B" + + +# Test 3: Tool call execution flow (_handle_tool_call method) +class TestToolCallExecution: + """Test suite for tool call execution flow in RealtimeSession._handle_tool_call""" + + @pytest.mark.asyncio + async def test_function_tool_execution_success( + self, mock_model, mock_agent, mock_function_tool + ): + """Test successful function tool execution""" + # Set up agent to return our mock tool + mock_agent.get_all_tools.return_value = [mock_function_tool] + + session = RealtimeSession(mock_model, mock_agent, None) + + # Create function call event + tool_call_event = RealtimeModelToolCallEvent( + name="test_function", call_id="call_123", arguments='{"param": "value"}' + ) + + await session._handle_tool_call(tool_call_event) + + # Verify the flow + mock_agent.get_all_tools.assert_called_once() + mock_function_tool.on_invoke_tool.assert_called_once() + + # Check the tool context was created correctly + call_args = mock_function_tool.on_invoke_tool.call_args + tool_context = call_args[0][0] + assert isinstance(tool_context, ToolContext) + assert call_args[0][1] == '{"param": "value"}' + + # Verify tool output was sent to model + assert len(mock_model.sent_tool_outputs) == 1 + sent_call, sent_output, start_response = mock_model.sent_tool_outputs[0] + assert sent_call == tool_call_event + assert sent_output == "function_result" + assert start_response is True + + # Verify events were queued + assert session._event_queue.qsize() == 2 + + # Check tool start event + tool_start_event = await session._event_queue.get() + assert isinstance(tool_start_event, RealtimeToolStart) + assert tool_start_event.tool == mock_function_tool + assert tool_start_event.agent == mock_agent + + # Check tool end event + tool_end_event = await session._event_queue.get() + assert isinstance(tool_end_event, RealtimeToolEnd) + assert tool_end_event.tool == mock_function_tool + assert tool_end_event.output == "function_result" + assert tool_end_event.agent == mock_agent + + @pytest.mark.asyncio + async def test_function_tool_with_multiple_tools_available(self, mock_model, mock_agent): + """Test function tool execution when multiple tools are available""" + # Create multiple mock tools + tool1 = Mock(spec=FunctionTool) + tool1.name = "tool_one" + tool1.on_invoke_tool = AsyncMock(return_value="result_one") + + tool2 = Mock(spec=FunctionTool) + tool2.name = "tool_two" + tool2.on_invoke_tool = AsyncMock(return_value="result_two") + + handoff = Mock(spec=Handoff) + handoff.name = "handoff_tool" + + # Set up agent to return all tools + mock_agent.get_all_tools.return_value = [tool1, tool2, handoff] + + session = RealtimeSession(mock_model, mock_agent, None) + + # Call tool_two + tool_call_event = RealtimeModelToolCallEvent( + name="tool_two", call_id="call_456", arguments='{"test": "data"}' + ) + + await session._handle_tool_call(tool_call_event) + + # Only tool2 should have been called + tool1.on_invoke_tool.assert_not_called() + tool2.on_invoke_tool.assert_called_once() + + # Verify correct result was sent + sent_call, sent_output, _ = mock_model.sent_tool_outputs[0] + assert sent_output == "result_two" + + @pytest.mark.asyncio + async def test_handoff_tool_handling_todo(self, mock_model, mock_agent, mock_handoff): + """Test that handoff tools are recognized but not yet implemented""" + # Set up agent to return handoff tool + mock_agent.get_all_tools.return_value = [mock_handoff] + + session = RealtimeSession(mock_model, mock_agent, None) + + tool_call_event = RealtimeModelToolCallEvent( + name="test_handoff", call_id="call_789", arguments="{}" + ) + + await session._handle_tool_call(tool_call_event) + + # Should not have sent any tool outputs (handoffs not implemented) + assert len(mock_model.sent_tool_outputs) == 0 + + # Should not have queued any events (handoffs not implemented) + assert session._event_queue.qsize() == 0 + + @pytest.mark.asyncio + async def test_unknown_tool_handling_todo(self, mock_model, mock_agent, mock_function_tool): + """Test that unknown tools are handled gracefully (TODO: add error handling)""" + # Set up agent to return different tool than what's called + mock_function_tool.name = "known_tool" + mock_agent.get_all_tools.return_value = [mock_function_tool] + + session = RealtimeSession(mock_model, mock_agent, None) + + # Call unknown tool + tool_call_event = RealtimeModelToolCallEvent( + name="unknown_tool", call_id="call_unknown", arguments="{}" + ) + + await session._handle_tool_call(tool_call_event) + + # Should not have called any tools + mock_function_tool.on_invoke_tool.assert_not_called() + + # Should not have sent any tool outputs + assert len(mock_model.sent_tool_outputs) == 0 + + # Should not have queued any events + assert session._event_queue.qsize() == 0 + + @pytest.mark.asyncio + async def test_function_tool_exception_handling( + self, mock_model, mock_agent, mock_function_tool + ): + """Test that exceptions in function tools are handled (currently they propagate)""" + # Set up tool to raise exception + mock_function_tool.on_invoke_tool.side_effect = ValueError("Tool error") + mock_agent.get_all_tools.return_value = [mock_function_tool] + + session = RealtimeSession(mock_model, mock_agent, None) + + tool_call_event = RealtimeModelToolCallEvent( + name="test_function", call_id="call_error", arguments="{}" + ) + + # Currently exceptions propagate (no error handling implemented) + with pytest.raises(ValueError, match="Tool error"): + await session._handle_tool_call(tool_call_event) + + # Tool start event should have been queued before the error + assert session._event_queue.qsize() == 1 + tool_start_event = await session._event_queue.get() + assert isinstance(tool_start_event, RealtimeToolStart) + + # But no tool output should have been sent and no end event queued + assert len(mock_model.sent_tool_outputs) == 0 + + @pytest.mark.asyncio + async def test_tool_call_with_complex_arguments( + self, mock_model, mock_agent, mock_function_tool + ): + """Test tool call with complex JSON arguments""" + mock_agent.get_all_tools.return_value = [mock_function_tool] + + session = RealtimeSession(mock_model, mock_agent, None) + + # Complex arguments + complex_args = '{"nested": {"data": [1, 2, 3]}, "bool": true, "null": null}' + + tool_call_event = RealtimeModelToolCallEvent( + name="test_function", call_id="call_complex", arguments=complex_args + ) + + await session._handle_tool_call(tool_call_event) + + # Verify arguments were passed correctly + call_args = mock_function_tool.on_invoke_tool.call_args + assert call_args[0][1] == complex_args + + @pytest.mark.asyncio + async def test_tool_call_with_custom_call_id(self, mock_model, mock_agent, mock_function_tool): + """Test that tool context receives correct call_id""" + mock_agent.get_all_tools.return_value = [mock_function_tool] + + session = RealtimeSession(mock_model, mock_agent, None) + + custom_call_id = "custom_call_id_12345" + + tool_call_event = RealtimeModelToolCallEvent( + name="test_function", call_id=custom_call_id, arguments="{}" + ) + + await session._handle_tool_call(tool_call_event) + + # Verify tool context was created with correct call_id + call_args = mock_function_tool.on_invoke_tool.call_args + tool_context = call_args[0][0] + # The call_id is used internally in ToolContext.from_agent_context + # We can't directly access it, but we can verify the context was created + assert isinstance(tool_context, ToolContext) + + @pytest.mark.asyncio + async def test_tool_result_conversion_to_string(self, mock_model, mock_agent): + """Test that tool results are converted to strings for model output""" + # Create tool that returns non-string result + tool = Mock(spec=FunctionTool) + tool.name = "test_function" + tool.on_invoke_tool = AsyncMock(return_value={"result": "data", "count": 42}) + + mock_agent.get_all_tools.return_value = [tool] + + session = RealtimeSession(mock_model, mock_agent, None) + + tool_call_event = RealtimeModelToolCallEvent( + name="test_function", call_id="call_conversion", arguments="{}" + ) + + await session._handle_tool_call(tool_call_event) + + # Verify result was converted to string + sent_call, sent_output, _ = mock_model.sent_tool_outputs[0] + assert isinstance(sent_output, str) + assert sent_output == "{'result': 'data', 'count': 42}" + + @pytest.mark.asyncio + async def test_mixed_tool_types_filtering(self, mock_model, mock_agent): + """Test that function tools and handoffs are properly separated""" + # Create mixed tools + func_tool1 = Mock(spec=FunctionTool) + func_tool1.name = "func1" + func_tool1.on_invoke_tool = AsyncMock(return_value="result1") + + handoff1 = Mock(spec=Handoff) + handoff1.name = "handoff1" + + func_tool2 = Mock(spec=FunctionTool) + func_tool2.name = "func2" + func_tool2.on_invoke_tool = AsyncMock(return_value="result2") + + handoff2 = Mock(spec=Handoff) + handoff2.name = "handoff2" + + # Add some other object that's neither (should be ignored) + other_tool = Mock() + other_tool.name = "other" + + all_tools = [func_tool1, handoff1, func_tool2, handoff2, other_tool] + mock_agent.get_all_tools.return_value = all_tools + + session = RealtimeSession(mock_model, mock_agent, None) + + # Call a function tool + tool_call_event = RealtimeModelToolCallEvent( + name="func2", call_id="call_filtering", arguments="{}" + ) + + await session._handle_tool_call(tool_call_event) + + # Only func2 should have been called + func_tool1.on_invoke_tool.assert_not_called() + func_tool2.on_invoke_tool.assert_called_once() + + # Verify result + sent_call, sent_output, _ = mock_model.sent_tool_outputs[0] + assert sent_output == "result2" From 802689291d23f423f747f413d5c53e885d720e4e Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 20:50:47 -0400 Subject: [PATCH 199/337] Tests for realtime session --- src/agents/realtime/session.py | 18 +- tests/realtime/test_session.py | 965 +++++++++++++++++++++++++++++++++ 2 files changed, 970 insertions(+), 13 deletions(-) create mode 100644 tests/realtime/test_session.py diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index 927e74e9f..df80c063f 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -81,7 +81,6 @@ def __init__( self._model_config = model_config or {} self._event_queue: asyncio.Queue[RealtimeSessionEvent] = asyncio.Queue() self._closed = False - self._background_task: asyncio.Task[None] | None = None async def __aenter__(self) -> RealtimeSession: """Start the session by connecting to the model. After this, you will be able to stream @@ -129,14 +128,6 @@ async def close(self) -> None: self._model.remove_listener(self) await self._model.close() - # Cancel any background tasks - if self._background_task and not self._background_task.done(): - self._background_task.cancel() - try: - await self._background_task - except asyncio.CancelledError: - pass - async def send_message(self, message: RealtimeUserInput) -> None: """Send a message to the model.""" await self._model.send_message(message) @@ -155,8 +146,7 @@ async def on_event(self, event: RealtimeModelEvent) -> None: if event.type == "error": await self._put_event(RealtimeError(info=self._event_info, error=event.error)) elif event.type == "function_call": - # Handle tool calls in the background to avoid blocking event stream - self._background_task = asyncio.create_task(self._handle_tool_call(event)) + await self._handle_tool_call(event) elif event.type == "audio": await self._put_event(RealtimeAudio(info=self._event_info, audio=event)) elif event.type == "audio_interrupted": @@ -164,7 +154,7 @@ async def on_event(self, event: RealtimeModelEvent) -> None: elif event.type == "audio_done": await self._put_event(RealtimeAudioEnd(info=self._event_info)) elif event.type == "conversation.item.input_audio_transcription.completed": - self._history = self._get_new_history(self._history, event) + self._history = RealtimeSession._get_new_history(self._history, event) await self._put_event( RealtimeHistoryUpdated(info=self._event_info, history=self._history) ) @@ -250,8 +240,9 @@ async def _handle_tool_call(self, event: RealtimeModelToolCallEvent) -> None: # TODO (rm) Add error handling pass + @classmethod def _get_new_history( - self, + cls, old_history: list[RealtimeItem], event: RealtimeModelInputAudioTranscriptionCompletedEvent | RealtimeItem, ) -> list[RealtimeItem]: @@ -296,5 +287,6 @@ def _get_new_history( new_history = old_history.copy() new_history.insert(previous_index + 1, event) return new_history + # Otherwise, add it to the end return old_history + [event] diff --git a/tests/realtime/test_session.py b/tests/realtime/test_session.py new file mode 100644 index 000000000..f0abd4502 --- /dev/null +++ b/tests/realtime/test_session.py @@ -0,0 +1,965 @@ +from typing import cast +from unittest.mock import AsyncMock, Mock + +import pytest + +from agents.handoffs import Handoff +from agents.realtime.agent import RealtimeAgent +from agents.realtime.events import ( + RealtimeAgentEndEvent, + RealtimeAgentStartEvent, + RealtimeAudio, + RealtimeAudioEnd, + RealtimeAudioInterrupted, + RealtimeError, + RealtimeHistoryAdded, + RealtimeHistoryUpdated, + RealtimeRawModelEvent, + RealtimeToolEnd, + RealtimeToolStart, +) +from agents.realtime.items import ( + AssistantMessageItem, + AssistantText, + InputAudio, + InputText, + RealtimeItem, + UserMessageItem, +) +from agents.realtime.model import RealtimeModel +from agents.realtime.model_events import ( + RealtimeModelAudioDoneEvent, + RealtimeModelAudioEvent, + RealtimeModelAudioInterruptedEvent, + RealtimeModelConnectionStatusEvent, + RealtimeModelErrorEvent, + RealtimeModelInputAudioTranscriptionCompletedEvent, + RealtimeModelItemDeletedEvent, + RealtimeModelItemUpdatedEvent, + RealtimeModelOtherEvent, + RealtimeModelToolCallEvent, + RealtimeModelTranscriptDeltaEvent, + RealtimeModelTurnEndedEvent, + RealtimeModelTurnStartedEvent, +) +from agents.realtime.session import RealtimeSession +from agents.tool import FunctionTool +from agents.tool_context import ToolContext + + +class MockRealtimeModel(RealtimeModel): + def __init__(self): + super().__init__() + self.listeners = [] + self.connect_called = False + self.close_called = False + self.sent_messages = [] + self.sent_audio = [] + self.sent_tool_outputs = [] + self.interrupts_called = 0 + + async def connect(self, options=None): + self.connect_called = True + + def add_listener(self, listener): + self.listeners.append(listener) + + def remove_listener(self, listener): + if listener in self.listeners: + self.listeners.remove(listener) + + async def send_event(self, event): + pass + + async def send_message(self, message, other_event_data=None): + self.sent_messages.append(message) + + async def send_audio(self, audio, commit=False): + self.sent_audio.append((audio, commit)) + + async def send_tool_output(self, tool_call, output, start_response=True): + self.sent_tool_outputs.append((tool_call, output, start_response)) + + async def interrupt(self): + self.interrupts_called += 1 + + async def close(self): + self.close_called = True + + +@pytest.fixture +def mock_agent(): + agent = Mock(spec=RealtimeAgent) + agent.get_all_tools = AsyncMock(return_value=[]) + return agent + + +@pytest.fixture +def mock_model(): + return MockRealtimeModel() + + +@pytest.fixture +def mock_function_tool(): + tool = Mock(spec=FunctionTool) + tool.name = "test_function" + tool.on_invoke_tool = AsyncMock(return_value="function_result") + return tool + + +@pytest.fixture +def mock_handoff(): + handoff = Mock(spec=Handoff) + handoff.name = "test_handoff" + return handoff + + +class TestEventHandling: + """Test suite for event handling and transformation in RealtimeSession.on_event""" + + @pytest.mark.asyncio + async def test_error_event_transformation(self, mock_model, mock_agent): + """Test that error events are properly transformed and queued""" + session = RealtimeSession(mock_model, mock_agent, None) + + error_event = RealtimeModelErrorEvent(error="Test error") + + await session.on_event(error_event) + + # Check that events were queued + assert session._event_queue.qsize() == 2 + + # First event should be raw model event + raw_event = await session._event_queue.get() + assert isinstance(raw_event, RealtimeRawModelEvent) + assert raw_event.data == error_event + + # Second event should be transformed error event + error_session_event = await session._event_queue.get() + assert isinstance(error_session_event, RealtimeError) + assert error_session_event.error == "Test error" + + @pytest.mark.asyncio + async def test_audio_events_transformation(self, mock_model, mock_agent): + """Test that audio-related events are properly transformed""" + session = RealtimeSession(mock_model, mock_agent, None) + + # Test audio event + audio_event = RealtimeModelAudioEvent(data=b"audio_data", response_id="resp_1") + await session.on_event(audio_event) + + # Test audio interrupted event + interrupted_event = RealtimeModelAudioInterruptedEvent() + await session.on_event(interrupted_event) + + # Test audio done event + done_event = RealtimeModelAudioDoneEvent() + await session.on_event(done_event) + + # Should have 6 events total (2 per event: raw + transformed) + assert session._event_queue.qsize() == 6 + + # Check audio event transformation + await session._event_queue.get() # raw event + audio_session_event = await session._event_queue.get() + assert isinstance(audio_session_event, RealtimeAudio) + assert audio_session_event.audio == audio_event + + # Check audio interrupted transformation + await session._event_queue.get() # raw event + interrupted_session_event = await session._event_queue.get() + assert isinstance(interrupted_session_event, RealtimeAudioInterrupted) + + # Check audio done transformation + await session._event_queue.get() # raw event + done_session_event = await session._event_queue.get() + assert isinstance(done_session_event, RealtimeAudioEnd) + + @pytest.mark.asyncio + async def test_turn_events_transformation(self, mock_model, mock_agent): + """Test that turn start/end events are properly transformed""" + session = RealtimeSession(mock_model, mock_agent, None) + + # Test turn started event + turn_started = RealtimeModelTurnStartedEvent() + await session.on_event(turn_started) + + # Test turn ended event + turn_ended = RealtimeModelTurnEndedEvent() + await session.on_event(turn_ended) + + # Should have 4 events total (2 per event: raw + transformed) + assert session._event_queue.qsize() == 4 + + # Check turn started transformation + await session._event_queue.get() # raw event + start_session_event = await session._event_queue.get() + assert isinstance(start_session_event, RealtimeAgentStartEvent) + assert start_session_event.agent == mock_agent + + # Check turn ended transformation + await session._event_queue.get() # raw event + end_session_event = await session._event_queue.get() + assert isinstance(end_session_event, RealtimeAgentEndEvent) + assert end_session_event.agent == mock_agent + + @pytest.mark.asyncio + async def test_transcription_completed_event_updates_history(self, mock_model, mock_agent): + """Test that transcription completed events update history and emit events""" + session = RealtimeSession(mock_model, mock_agent, None) + + # Set up initial history with an audio message + initial_item = UserMessageItem( + item_id="item_1", role="user", content=[InputAudio(transcript=None)] + ) + session._history = [initial_item] + + # Create transcription completed event + transcription_event = RealtimeModelInputAudioTranscriptionCompletedEvent( + item_id="item_1", transcript="Hello world" + ) + + await session.on_event(transcription_event) + + # Check that history was updated + assert len(session._history) == 1 + updated_item = session._history[0] + assert updated_item.content[0].transcript == "Hello world" # type: ignore + assert updated_item.status == "completed" # type: ignore + + # Should have 2 events: raw + history updated + assert session._event_queue.qsize() == 2 + + await session._event_queue.get() # raw event + history_event = await session._event_queue.get() + assert isinstance(history_event, RealtimeHistoryUpdated) + assert len(history_event.history) == 1 + + @pytest.mark.asyncio + async def test_item_updated_event_adds_new_item(self, mock_model, mock_agent): + """Test that item_updated events add new items to history""" + session = RealtimeSession(mock_model, mock_agent, None) + + new_item = AssistantMessageItem( + item_id="new_item", role="assistant", content=[AssistantText(text="Hello")] + ) + + item_updated_event = RealtimeModelItemUpdatedEvent(item=new_item) + + await session.on_event(item_updated_event) + + # Check that item was added to history + assert len(session._history) == 1 + assert session._history[0] == new_item + + # Should have 2 events: raw + history added + assert session._event_queue.qsize() == 2 + + await session._event_queue.get() # raw event + history_event = await session._event_queue.get() + assert isinstance(history_event, RealtimeHistoryAdded) + assert history_event.item == new_item + + @pytest.mark.asyncio + async def test_item_updated_event_updates_existing_item(self, mock_model, mock_agent): + """Test that item_updated events update existing items in history""" + session = RealtimeSession(mock_model, mock_agent, None) + + # Set up initial history + initial_item = AssistantMessageItem( + item_id="existing_item", role="assistant", content=[AssistantText(text="Initial")] + ) + session._history = [initial_item] + + # Create updated version + updated_item = AssistantMessageItem( + item_id="existing_item", role="assistant", content=[AssistantText(text="Updated")] + ) + + item_updated_event = RealtimeModelItemUpdatedEvent(item=updated_item) + + await session.on_event(item_updated_event) + + # Check that item was updated + assert len(session._history) == 1 + updated_item = cast(AssistantMessageItem, session._history[0]) + assert cast(AssistantText, updated_item.content[0]).text == "Updated" + + # Should have 2 events: raw + history updated (not added) + assert session._event_queue.qsize() == 2 + + await session._event_queue.get() # raw event + history_event = await session._event_queue.get() + assert isinstance(history_event, RealtimeHistoryUpdated) + + @pytest.mark.asyncio + async def test_item_deleted_event_removes_item(self, mock_model, mock_agent): + """Test that item_deleted events remove items from history""" + session = RealtimeSession(mock_model, mock_agent, None) + + # Set up initial history with multiple items + item1 = AssistantMessageItem( + item_id="item_1", role="assistant", content=[AssistantText(text="First")] + ) + item2 = AssistantMessageItem( + item_id="item_2", role="assistant", content=[AssistantText(text="Second")] + ) + session._history = [item1, item2] + + # Delete first item + delete_event = RealtimeModelItemDeletedEvent(item_id="item_1") + + await session.on_event(delete_event) + + # Check that item was removed + assert len(session._history) == 1 + assert session._history[0].item_id == "item_2" + + # Should have 2 events: raw + history updated + assert session._event_queue.qsize() == 2 + + await session._event_queue.get() # raw event + history_event = await session._event_queue.get() + assert isinstance(history_event, RealtimeHistoryUpdated) + assert len(history_event.history) == 1 + + @pytest.mark.asyncio + async def test_ignored_events_only_generate_raw_events(self, mock_model, mock_agent): + """Test that ignored events (transcript_delta, connection_status, other) only generate raw + events""" + session = RealtimeSession(mock_model, mock_agent, None) + + # Test transcript delta (should be ignored per TODO comment) + transcript_event = RealtimeModelTranscriptDeltaEvent( + item_id="item_1", delta="hello", response_id="resp_1" + ) + await session.on_event(transcript_event) + + # Test connection status (should be ignored) + connection_event = RealtimeModelConnectionStatusEvent(status="connected") + await session.on_event(connection_event) + + # Test other event (should be ignored) + other_event = RealtimeModelOtherEvent(data={"custom": "data"}) + await session.on_event(other_event) + + # Should only have 3 raw events (no transformed events) + assert session._event_queue.qsize() == 3 + + for _ in range(3): + event = await session._event_queue.get() + assert isinstance(event, RealtimeRawModelEvent) + + @pytest.mark.asyncio + async def test_function_call_event_triggers_tool_handling(self, mock_model, mock_agent): + """Test that function_call events trigger tool call handling""" + session = RealtimeSession(mock_model, mock_agent, None) + + # Create function call event + function_call_event = RealtimeModelToolCallEvent( + name="test_function", call_id="call_123", arguments='{"param": "value"}' + ) + + # We'll test the detailed tool handling in a separate test class + # Here we just verify that it gets to the handler + with pytest.MonkeyPatch().context() as m: + handle_tool_call_mock = AsyncMock() + m.setattr(session, "_handle_tool_call", handle_tool_call_mock) + + await session.on_event(function_call_event) + + # Should have called the tool handler + handle_tool_call_mock.assert_called_once_with(function_call_event) + + # Should still have raw event + assert session._event_queue.qsize() == 1 + raw_event = await session._event_queue.get() + assert isinstance(raw_event, RealtimeRawModelEvent) + assert raw_event.data == function_call_event + + +class TestHistoryManagement: + """Test suite for history management and audio transcription in + RealtimeSession._get_new_history""" + + def test_merge_transcript_into_existing_audio_message(self): + """Test merging audio transcript into existing placeholder input_audio message""" + # Create initial history with audio message without transcript + initial_item = UserMessageItem( + item_id="item_1", + role="user", + content=[ + InputText(text="Before audio"), + InputAudio(transcript=None, audio="audio_data"), + InputText(text="After audio"), + ], + ) + old_history = [initial_item] + + # Create transcription completed event + transcription_event = RealtimeModelInputAudioTranscriptionCompletedEvent( + item_id="item_1", transcript="Hello world" + ) + + # Apply the history update + new_history = RealtimeSession._get_new_history( + cast(list[RealtimeItem], old_history), transcription_event + ) + + # Verify the transcript was merged + assert len(new_history) == 1 + updated_item = cast(UserMessageItem, new_history[0]) + assert updated_item.item_id == "item_1" + assert hasattr(updated_item, "status") and updated_item.status == "completed" + assert len(updated_item.content) == 3 + + # Check that audio content got transcript but other content unchanged + assert cast(InputText, updated_item.content[0]).text == "Before audio" + assert cast(InputAudio, updated_item.content[1]).transcript == "Hello world" + # Should preserve audio data + assert cast(InputAudio, updated_item.content[1]).audio == "audio_data" + assert cast(InputText, updated_item.content[2]).text == "After audio" + + def test_merge_transcript_preserves_other_items(self): + """Test that merging transcript preserves other items in history""" + # Create history with multiple items + item1 = UserMessageItem( + item_id="item_1", role="user", content=[InputText(text="First message")] + ) + item2 = UserMessageItem( + item_id="item_2", role="user", content=[InputAudio(transcript=None)] + ) + item3 = AssistantMessageItem( + item_id="item_3", role="assistant", content=[AssistantText(text="Third message")] + ) + old_history = [item1, item2, item3] + + # Create transcription event for item_2 + transcription_event = RealtimeModelInputAudioTranscriptionCompletedEvent( + item_id="item_2", transcript="Transcribed audio" + ) + + new_history = RealtimeSession._get_new_history( + cast(list[RealtimeItem], old_history), transcription_event + ) + + # Should have same number of items + assert len(new_history) == 3 + + # First and third items should be unchanged + assert new_history[0] == item1 + assert new_history[2] == item3 + + # Second item should have transcript + updated_item2 = cast(UserMessageItem, new_history[1]) + assert updated_item2.item_id == "item_2" + assert cast(InputAudio, updated_item2.content[0]).transcript == "Transcribed audio" + assert hasattr(updated_item2, "status") and updated_item2.status == "completed" + + def test_merge_transcript_only_affects_matching_audio_content(self): + """Test that transcript merge only affects audio content, not text content""" + # Create item with mixed content including multiple audio items + item = UserMessageItem( + item_id="item_1", + role="user", + content=[ + InputText(text="Text content"), + InputAudio(transcript=None, audio="audio1"), + InputAudio(transcript="existing", audio="audio2"), + InputText(text="More text"), + ], + ) + old_history = [item] + + transcription_event = RealtimeModelInputAudioTranscriptionCompletedEvent( + item_id="item_1", transcript="New transcript" + ) + + new_history = RealtimeSession._get_new_history( + cast(list[RealtimeItem], old_history), transcription_event + ) + + updated_item = cast(UserMessageItem, new_history[0]) + + # Text content should be unchanged + assert cast(InputText, updated_item.content[0]).text == "Text content" + assert cast(InputText, updated_item.content[3]).text == "More text" + + # All audio content should have the new transcript (current implementation overwrites all) + assert cast(InputAudio, updated_item.content[1]).transcript == "New transcript" + assert ( + cast(InputAudio, updated_item.content[2]).transcript == "New transcript" + ) # Implementation overwrites existing + + def test_update_existing_item_by_id(self): + """Test updating an existing item by item_id""" + # Create initial history + original_item = AssistantMessageItem( + item_id="item_1", role="assistant", content=[AssistantText(text="Original")] + ) + old_history = [original_item] + + # Create updated version of same item + updated_item = AssistantMessageItem( + item_id="item_1", role="assistant", content=[AssistantText(text="Updated")] + ) + + new_history = RealtimeSession._get_new_history( + cast(list[RealtimeItem], old_history), updated_item + ) + + # Should have same number of items + assert len(new_history) == 1 + + # Item should be updated + result_item = cast(AssistantMessageItem, new_history[0]) + assert result_item.item_id == "item_1" + assert cast(AssistantText, result_item.content[0]).text == "Updated" + + def test_update_existing_item_preserves_order(self): + """Test that updating existing item preserves its position in history""" + # Create history with multiple items + item1 = AssistantMessageItem( + item_id="item_1", role="assistant", content=[AssistantText(text="First")] + ) + item2 = AssistantMessageItem( + item_id="item_2", role="assistant", content=[AssistantText(text="Second")] + ) + item3 = AssistantMessageItem( + item_id="item_3", role="assistant", content=[AssistantText(text="Third")] + ) + old_history = [item1, item2, item3] + + # Update middle item + updated_item2 = AssistantMessageItem( + item_id="item_2", role="assistant", content=[AssistantText(text="Updated Second")] + ) + + new_history = RealtimeSession._get_new_history( + cast(list[RealtimeItem], old_history), updated_item2 + ) + + # Should have same number of items in same order + assert len(new_history) == 3 + assert new_history[0].item_id == "item_1" + assert new_history[1].item_id == "item_2" + assert new_history[2].item_id == "item_3" + + # Middle item should be updated + updated_result = cast(AssistantMessageItem, new_history[1]) + assert cast(AssistantText, updated_result.content[0]).text == "Updated Second" + + # Other items should be unchanged + item1_result = cast(AssistantMessageItem, new_history[0]) + item3_result = cast(AssistantMessageItem, new_history[2]) + assert cast(AssistantText, item1_result.content[0]).text == "First" + assert cast(AssistantText, item3_result.content[0]).text == "Third" + + def test_insert_new_item_after_previous_item(self): + """Test inserting new item after specified previous_item_id""" + # Create initial history + item1 = AssistantMessageItem( + item_id="item_1", role="assistant", content=[AssistantText(text="First")] + ) + item3 = AssistantMessageItem( + item_id="item_3", role="assistant", content=[AssistantText(text="Third")] + ) + old_history = [item1, item3] + + # Create new item to insert between them + new_item = AssistantMessageItem( + item_id="item_2", + previous_item_id="item_1", + role="assistant", + content=[AssistantText(text="Second")], + ) + + new_history = RealtimeSession._get_new_history( + cast(list[RealtimeItem], old_history), new_item + ) + + # Should have one more item + assert len(new_history) == 3 + + # Items should be in correct order + assert new_history[0].item_id == "item_1" + assert new_history[1].item_id == "item_2" + assert new_history[2].item_id == "item_3" + + # Content should be correct + item2_result = cast(AssistantMessageItem, new_history[1]) + assert cast(AssistantText, item2_result.content[0]).text == "Second" + + def test_insert_new_item_after_nonexistent_previous_item(self): + """Test that item with nonexistent previous_item_id gets added to end""" + # Create initial history + item1 = AssistantMessageItem( + item_id="item_1", role="assistant", content=[AssistantText(text="First")] + ) + old_history = [item1] + + # Create new item with nonexistent previous_item_id + new_item = AssistantMessageItem( + item_id="item_2", + previous_item_id="nonexistent", + role="assistant", + content=[AssistantText(text="Second")], + ) + + new_history = RealtimeSession._get_new_history( + cast(list[RealtimeItem], old_history), new_item + ) + + # Should add to end when previous_item_id not found + assert len(new_history) == 2 + assert new_history[0].item_id == "item_1" + assert new_history[1].item_id == "item_2" + + def test_add_new_item_to_end_when_no_previous_item_id(self): + """Test adding new item to end when no previous_item_id is specified""" + # Create initial history + item1 = AssistantMessageItem( + item_id="item_1", role="assistant", content=[AssistantText(text="First")] + ) + old_history = [item1] + + # Create new item without previous_item_id + new_item = AssistantMessageItem( + item_id="item_2", role="assistant", content=[AssistantText(text="Second")] + ) + + new_history = RealtimeSession._get_new_history( + cast(list[RealtimeItem], old_history), new_item + ) + + # Should add to end + assert len(new_history) == 2 + assert new_history[0].item_id == "item_1" + assert new_history[1].item_id == "item_2" + + def test_add_first_item_to_empty_history(self): + """Test adding first item to empty history""" + old_history: list[RealtimeItem] = [] + + new_item = AssistantMessageItem( + item_id="item_1", role="assistant", content=[AssistantText(text="First")] + ) + + new_history = RealtimeSession._get_new_history(old_history, new_item) + + assert len(new_history) == 1 + assert new_history[0].item_id == "item_1" + + def test_complex_insertion_scenario(self): + """Test complex scenario with multiple insertions and updates""" + # Start with items A and C + itemA = AssistantMessageItem( + item_id="A", role="assistant", content=[AssistantText(text="A")] + ) + itemC = AssistantMessageItem( + item_id="C", role="assistant", content=[AssistantText(text="C")] + ) + history: list[RealtimeItem] = [itemA, itemC] + + # Insert B after A + itemB = AssistantMessageItem( + item_id="B", previous_item_id="A", role="assistant", content=[AssistantText(text="B")] + ) + history = RealtimeSession._get_new_history(history, itemB) + + # Should be A, B, C + assert len(history) == 3 + assert [item.item_id for item in history] == ["A", "B", "C"] + + # Insert D after B + itemD = AssistantMessageItem( + item_id="D", previous_item_id="B", role="assistant", content=[AssistantText(text="D")] + ) + history = RealtimeSession._get_new_history(history, itemD) + + # Should be A, B, D, C + assert len(history) == 4 + assert [item.item_id for item in history] == ["A", "B", "D", "C"] + + # Update B + updated_itemB = AssistantMessageItem( + item_id="B", role="assistant", content=[AssistantText(text="Updated B")] + ) + history = RealtimeSession._get_new_history(history, updated_itemB) + + # Should still be A, B, D, C but B is updated + assert len(history) == 4 + assert [item.item_id for item in history] == ["A", "B", "D", "C"] + itemB_result = cast(AssistantMessageItem, history[1]) + assert cast(AssistantText, itemB_result.content[0]).text == "Updated B" + + +# Test 3: Tool call execution flow (_handle_tool_call method) +class TestToolCallExecution: + """Test suite for tool call execution flow in RealtimeSession._handle_tool_call""" + + @pytest.mark.asyncio + async def test_function_tool_execution_success( + self, mock_model, mock_agent, mock_function_tool + ): + """Test successful function tool execution""" + # Set up agent to return our mock tool + mock_agent.get_all_tools.return_value = [mock_function_tool] + + session = RealtimeSession(mock_model, mock_agent, None) + + # Create function call event + tool_call_event = RealtimeModelToolCallEvent( + name="test_function", call_id="call_123", arguments='{"param": "value"}' + ) + + await session._handle_tool_call(tool_call_event) + + # Verify the flow + mock_agent.get_all_tools.assert_called_once() + mock_function_tool.on_invoke_tool.assert_called_once() + + # Check the tool context was created correctly + call_args = mock_function_tool.on_invoke_tool.call_args + tool_context = call_args[0][0] + assert isinstance(tool_context, ToolContext) + assert call_args[0][1] == '{"param": "value"}' + + # Verify tool output was sent to model + assert len(mock_model.sent_tool_outputs) == 1 + sent_call, sent_output, start_response = mock_model.sent_tool_outputs[0] + assert sent_call == tool_call_event + assert sent_output == "function_result" + assert start_response is True + + # Verify events were queued + assert session._event_queue.qsize() == 2 + + # Check tool start event + tool_start_event = await session._event_queue.get() + assert isinstance(tool_start_event, RealtimeToolStart) + assert tool_start_event.tool == mock_function_tool + assert tool_start_event.agent == mock_agent + + # Check tool end event + tool_end_event = await session._event_queue.get() + assert isinstance(tool_end_event, RealtimeToolEnd) + assert tool_end_event.tool == mock_function_tool + assert tool_end_event.output == "function_result" + assert tool_end_event.agent == mock_agent + + @pytest.mark.asyncio + async def test_function_tool_with_multiple_tools_available(self, mock_model, mock_agent): + """Test function tool execution when multiple tools are available""" + # Create multiple mock tools + tool1 = Mock(spec=FunctionTool) + tool1.name = "tool_one" + tool1.on_invoke_tool = AsyncMock(return_value="result_one") + + tool2 = Mock(spec=FunctionTool) + tool2.name = "tool_two" + tool2.on_invoke_tool = AsyncMock(return_value="result_two") + + handoff = Mock(spec=Handoff) + handoff.name = "handoff_tool" + + # Set up agent to return all tools + mock_agent.get_all_tools.return_value = [tool1, tool2, handoff] + + session = RealtimeSession(mock_model, mock_agent, None) + + # Call tool_two + tool_call_event = RealtimeModelToolCallEvent( + name="tool_two", call_id="call_456", arguments='{"test": "data"}' + ) + + await session._handle_tool_call(tool_call_event) + + # Only tool2 should have been called + tool1.on_invoke_tool.assert_not_called() + tool2.on_invoke_tool.assert_called_once() + + # Verify correct result was sent + sent_call, sent_output, _ = mock_model.sent_tool_outputs[0] + assert sent_output == "result_two" + + @pytest.mark.asyncio + async def test_handoff_tool_handling_todo(self, mock_model, mock_agent, mock_handoff): + """Test that handoff tools are recognized but not yet implemented""" + # Set up agent to return handoff tool + mock_agent.get_all_tools.return_value = [mock_handoff] + + session = RealtimeSession(mock_model, mock_agent, None) + + tool_call_event = RealtimeModelToolCallEvent( + name="test_handoff", call_id="call_789", arguments="{}" + ) + + await session._handle_tool_call(tool_call_event) + + # Should not have sent any tool outputs (handoffs not implemented) + assert len(mock_model.sent_tool_outputs) == 0 + + # Should not have queued any events (handoffs not implemented) + assert session._event_queue.qsize() == 0 + + @pytest.mark.asyncio + async def test_unknown_tool_handling_todo(self, mock_model, mock_agent, mock_function_tool): + """Test that unknown tools are handled gracefully (TODO: add error handling)""" + # Set up agent to return different tool than what's called + mock_function_tool.name = "known_tool" + mock_agent.get_all_tools.return_value = [mock_function_tool] + + session = RealtimeSession(mock_model, mock_agent, None) + + # Call unknown tool + tool_call_event = RealtimeModelToolCallEvent( + name="unknown_tool", call_id="call_unknown", arguments="{}" + ) + + await session._handle_tool_call(tool_call_event) + + # Should not have called any tools + mock_function_tool.on_invoke_tool.assert_not_called() + + # Should not have sent any tool outputs + assert len(mock_model.sent_tool_outputs) == 0 + + # Should not have queued any events + assert session._event_queue.qsize() == 0 + + @pytest.mark.asyncio + async def test_function_tool_exception_handling( + self, mock_model, mock_agent, mock_function_tool + ): + """Test that exceptions in function tools are handled (currently they propagate)""" + # Set up tool to raise exception + mock_function_tool.on_invoke_tool.side_effect = ValueError("Tool error") + mock_agent.get_all_tools.return_value = [mock_function_tool] + + session = RealtimeSession(mock_model, mock_agent, None) + + tool_call_event = RealtimeModelToolCallEvent( + name="test_function", call_id="call_error", arguments="{}" + ) + + # Currently exceptions propagate (no error handling implemented) + with pytest.raises(ValueError, match="Tool error"): + await session._handle_tool_call(tool_call_event) + + # Tool start event should have been queued before the error + assert session._event_queue.qsize() == 1 + tool_start_event = await session._event_queue.get() + assert isinstance(tool_start_event, RealtimeToolStart) + + # But no tool output should have been sent and no end event queued + assert len(mock_model.sent_tool_outputs) == 0 + + @pytest.mark.asyncio + async def test_tool_call_with_complex_arguments( + self, mock_model, mock_agent, mock_function_tool + ): + """Test tool call with complex JSON arguments""" + mock_agent.get_all_tools.return_value = [mock_function_tool] + + session = RealtimeSession(mock_model, mock_agent, None) + + # Complex arguments + complex_args = '{"nested": {"data": [1, 2, 3]}, "bool": true, "null": null}' + + tool_call_event = RealtimeModelToolCallEvent( + name="test_function", call_id="call_complex", arguments=complex_args + ) + + await session._handle_tool_call(tool_call_event) + + # Verify arguments were passed correctly + call_args = mock_function_tool.on_invoke_tool.call_args + assert call_args[0][1] == complex_args + + @pytest.mark.asyncio + async def test_tool_call_with_custom_call_id(self, mock_model, mock_agent, mock_function_tool): + """Test that tool context receives correct call_id""" + mock_agent.get_all_tools.return_value = [mock_function_tool] + + session = RealtimeSession(mock_model, mock_agent, None) + + custom_call_id = "custom_call_id_12345" + + tool_call_event = RealtimeModelToolCallEvent( + name="test_function", call_id=custom_call_id, arguments="{}" + ) + + await session._handle_tool_call(tool_call_event) + + # Verify tool context was created with correct call_id + call_args = mock_function_tool.on_invoke_tool.call_args + tool_context = call_args[0][0] + # The call_id is used internally in ToolContext.from_agent_context + # We can't directly access it, but we can verify the context was created + assert isinstance(tool_context, ToolContext) + + @pytest.mark.asyncio + async def test_tool_result_conversion_to_string(self, mock_model, mock_agent): + """Test that tool results are converted to strings for model output""" + # Create tool that returns non-string result + tool = Mock(spec=FunctionTool) + tool.name = "test_function" + tool.on_invoke_tool = AsyncMock(return_value={"result": "data", "count": 42}) + + mock_agent.get_all_tools.return_value = [tool] + + session = RealtimeSession(mock_model, mock_agent, None) + + tool_call_event = RealtimeModelToolCallEvent( + name="test_function", call_id="call_conversion", arguments="{}" + ) + + await session._handle_tool_call(tool_call_event) + + # Verify result was converted to string + sent_call, sent_output, _ = mock_model.sent_tool_outputs[0] + assert isinstance(sent_output, str) + assert sent_output == "{'result': 'data', 'count': 42}" + + @pytest.mark.asyncio + async def test_mixed_tool_types_filtering(self, mock_model, mock_agent): + """Test that function tools and handoffs are properly separated""" + # Create mixed tools + func_tool1 = Mock(spec=FunctionTool) + func_tool1.name = "func1" + func_tool1.on_invoke_tool = AsyncMock(return_value="result1") + + handoff1 = Mock(spec=Handoff) + handoff1.name = "handoff1" + + func_tool2 = Mock(spec=FunctionTool) + func_tool2.name = "func2" + func_tool2.on_invoke_tool = AsyncMock(return_value="result2") + + handoff2 = Mock(spec=Handoff) + handoff2.name = "handoff2" + + # Add some other object that's neither (should be ignored) + other_tool = Mock() + other_tool.name = "other" + + all_tools = [func_tool1, handoff1, func_tool2, handoff2, other_tool] + mock_agent.get_all_tools.return_value = all_tools + + session = RealtimeSession(mock_model, mock_agent, None) + + # Call a function tool + tool_call_event = RealtimeModelToolCallEvent( + name="func2", call_id="call_filtering", arguments="{}" + ) + + await session._handle_tool_call(tool_call_event) + + # Only func2 should have been called + func_tool1.on_invoke_tool.assert_not_called() + func_tool2.on_invoke_tool.assert_called_once() + + # Verify result + sent_call, sent_output, _ = mock_model.sent_tool_outputs[0] + assert sent_output == "result2" From 83a0d98b2ff6352d772555cf7369946e369c75ad Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 21:12:53 -0400 Subject: [PATCH 200/337] Add tests for openai realtime model --- src/agents/realtime/openai_realtime.py | 133 +++++---- tests/realtime/test_openai_realtime.py | 385 +++++++++++++++++++++++++ 2 files changed, 461 insertions(+), 57 deletions(-) create mode 100644 tests/realtime/test_openai_realtime.py diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index b3f6eb2e0..de8f57ac7 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -9,9 +9,11 @@ from typing import Any, Callable import websockets +from openai.types.beta.realtime.conversation_item import ConversationItem from openai.types.beta.realtime.realtime_server_event import ( RealtimeServerEvent as OpenAIRealtimeServerEvent, ) +from openai.types.beta.realtime.response_audio_delta_event import ResponseAudioDeltaEvent from pydantic import TypeAdapter from websockets.asyncio.client import ClientConnection @@ -233,6 +235,77 @@ async def interrupt(self) -> None: self._audio_length_ms = 0.0 self._current_audio_content_index = None + async def _handle_audio_delta(self, parsed: ResponseAudioDeltaEvent) -> None: + """Handle audio delta events and update audio tracking state.""" + self._current_audio_content_index = parsed.content_index + self._current_item_id = parsed.item_id + if self._audio_start_time is None: + self._audio_start_time = datetime.now() + self._audio_length_ms = 0.0 + + audio_bytes = base64.b64decode(parsed.delta) + # Calculate audio length in ms using 24KHz pcm16le + self._audio_length_ms += self._calculate_audio_length_ms(audio_bytes) + await self._emit_event( + RealtimeModelAudioEvent(data=audio_bytes, response_id=parsed.response_id) + ) + + def _calculate_audio_length_ms(self, audio_bytes: bytes) -> float: + """Calculate audio length in milliseconds for 24KHz PCM16LE format.""" + return len(audio_bytes) / 24 / 2 + + async def _handle_output_item(self, item: ConversationItem) -> None: + """Handle response output item events (function calls and messages).""" + if item.type == "function_call" and item.status == "completed": + tool_call = RealtimeToolCallItem( + item_id=item.id or "", + previous_item_id=None, + type="function_call", + # We use the same item for tool call and output, so it will be completed by the + # output being added + status="in_progress", + arguments=item.arguments or "", + name=item.name or "", + output=None, + ) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=tool_call)) + await self._emit_event( + RealtimeModelToolCallEvent( + call_id=item.id or "", + name=item.name or "", + arguments=item.arguments or "", + id=item.id or "", + ) + ) + elif item.type == "message": + # Handle message items from output_item events (no previous_item_id) + message_item: RealtimeMessageItem = TypeAdapter(RealtimeMessageItem).validate_python( + { + "item_id": item.id or "", + "type": item.type, + "role": item.role, + "content": item.content, + "status": "in_progress", + } + ) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=message_item)) + + async def _handle_conversation_item( + self, item: ConversationItem, previous_item_id: str | None + ) -> None: + """Handle conversation item creation/retrieval events.""" + message_item: RealtimeMessageItem = TypeAdapter(RealtimeMessageItem).validate_python( + { + "item_id": item.id or "", + "previous_item_id": previous_item_id, + "type": item.type, + "role": item.role, + "content": item.content, + "status": "in_progress", + } + ) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=message_item)) + async def close(self) -> None: """Close the session.""" if self._websocket: @@ -258,18 +331,7 @@ async def _handle_ws_event(self, event: dict[str, Any]): return if parsed.type == "response.audio.delta": - self._current_audio_content_index = parsed.content_index - self._current_item_id = parsed.item_id - if self._audio_start_time is None: - self._audio_start_time = datetime.now() - self._audio_length_ms = 0.0 - - audio_bytes = base64.b64decode(parsed.delta) - # Calculate audio length in ms using 24KHz pcm16le - self._audio_length_ms += len(audio_bytes) / 24 / 2 - await self._emit_event( - RealtimeModelAudioEvent(data=audio_bytes, response_id=parsed.response_id) - ) + await self._handle_audio_delta(parsed) elif parsed.type == "response.audio.done": await self._emit_event(RealtimeModelAudioDoneEvent()) elif parsed.type == "input_audio_buffer.speech_started": @@ -291,21 +353,10 @@ async def _handle_ws_event(self, event: dict[str, Any]): parsed.type == "conversation.item.created" or parsed.type == "conversation.item.retrieved" ): - item = parsed.item previous_item_id = ( parsed.previous_item_id if parsed.type == "conversation.item.created" else None ) - message_item: RealtimeMessageItem = TypeAdapter(RealtimeMessageItem).validate_python( - { - "item_id": item.id or "", - "previous_item_id": previous_item_id, - "type": item.type, - "role": item.role, - "content": item.content, - "status": "in_progress", - } - ) - await self._emit_event(RealtimeModelItemUpdatedEvent(item=message_item)) + await self._handle_conversation_item(parsed.item, previous_item_id) elif ( parsed.type == "conversation.item.input_audio_transcription.completed" or parsed.type == "conversation.item.truncated" @@ -341,36 +392,4 @@ async def _handle_ws_event(self, event: dict[str, Any]): parsed.type == "response.output_item.added" or parsed.type == "response.output_item.done" ): - item = parsed.item - if item.type == "function_call" and item.status == "completed": - tool_call = RealtimeToolCallItem( - item_id=item.id or "", - previous_item_id=None, - type="function_call", - # We use the same item for tool call and output, so it will be completed by the - # output being added - status="in_progress", - arguments=item.arguments or "", - name=item.name or "", - output=None, - ) - await self._emit_event(RealtimeModelItemUpdatedEvent(item=tool_call)) - await self._emit_event( - RealtimeModelToolCallEvent( - call_id=item.id or "", - name=item.name or "", - arguments=item.arguments or "", - id=item.id or "", - ) - ) - elif item.type == "message": - message_item = TypeAdapter(RealtimeMessageItem).validate_python( - { - "item_id": item.id or "", - "type": item.type, - "role": item.role, - "content": item.content, - "status": "in_progress", - } - ) - await self._emit_event(RealtimeModelItemUpdatedEvent(item=message_item)) + await self._handle_output_item(parsed.item) diff --git a/tests/realtime/test_openai_realtime.py b/tests/realtime/test_openai_realtime.py new file mode 100644 index 000000000..9fe2f9acb --- /dev/null +++ b/tests/realtime/test_openai_realtime.py @@ -0,0 +1,385 @@ +from datetime import datetime +from typing import Any +from unittest.mock import AsyncMock, Mock, patch + +import pytest +import websockets + +from agents.exceptions import UserError +from agents.realtime.model_events import ( + RealtimeModelAudioEvent, + RealtimeModelErrorEvent, + RealtimeModelToolCallEvent, +) +from agents.realtime.openai_realtime import OpenAIRealtimeWebSocketModel + + +class TestOpenAIRealtimeWebSocketModel: + """Test suite for OpenAIRealtimeWebSocketModel connection and event handling.""" + + @pytest.fixture + def model(self): + """Create a fresh model instance for each test.""" + return OpenAIRealtimeWebSocketModel() + + @pytest.fixture + def mock_websocket(self): + """Create a mock websocket connection.""" + mock_ws = AsyncMock() + mock_ws.send = AsyncMock() + mock_ws.close = AsyncMock() + return mock_ws + + +class TestConnectionLifecycle(TestOpenAIRealtimeWebSocketModel): + """Test connection establishment, configuration, and error handling.""" + + @pytest.mark.asyncio + async def test_connect_missing_api_key_raises_error(self, model): + """Test that missing API key raises UserError.""" + config: dict[str, Any] = {"initial_model_settings": {}} + + with patch.dict("os.environ", {}, clear=True): + with pytest.raises(UserError, match="API key is required"): + await model.connect(config) + + @pytest.mark.asyncio + async def test_connect_with_string_api_key(self, model, mock_websocket): + """Test successful connection with string API key.""" + config = { + "api_key": "test-api-key-123", + "initial_model_settings": {"model_name": "gpt-4o-realtime-preview"}, + } + + async def async_websocket(*args, **kwargs): + return mock_websocket + + with patch("websockets.connect", side_effect=async_websocket) as mock_connect: + with patch("asyncio.create_task") as mock_create_task: + # Mock create_task to return a mock task and properly handle the coroutine + mock_task = AsyncMock() + + def mock_create_task_func(coro): + # Properly close the coroutine to avoid RuntimeWarning + coro.close() + return mock_task + + mock_create_task.side_effect = mock_create_task_func + + await model.connect(config) + + # Verify WebSocket connection called with correct parameters + mock_connect.assert_called_once() + call_args = mock_connect.call_args + assert ( + call_args[0][0] + == "wss://api.openai.com/v1/realtime?model=gpt-4o-realtime-preview" + ) + assert ( + call_args[1]["additional_headers"]["Authorization"] == "Bearer test-api-key-123" + ) + assert call_args[1]["additional_headers"]["OpenAI-Beta"] == "realtime=v1" + + # Verify task was created for message listening + mock_create_task.assert_called_once() + + # Verify internal state + assert model._websocket == mock_websocket + assert model._websocket_task is not None + assert model.model == "gpt-4o-realtime-preview" + + @pytest.mark.asyncio + async def test_connect_with_callable_api_key(self, model, mock_websocket): + """Test connection with callable API key provider.""" + + def get_api_key(): + return "callable-api-key" + + config = {"api_key": get_api_key} + + async def async_websocket(*args, **kwargs): + return mock_websocket + + with patch("websockets.connect", side_effect=async_websocket): + with patch("asyncio.create_task") as mock_create_task: + # Mock create_task to return a mock task and properly handle the coroutine + mock_task = AsyncMock() + + def mock_create_task_func(coro): + # Properly close the coroutine to avoid RuntimeWarning + coro.close() + return mock_task + + mock_create_task.side_effect = mock_create_task_func + + await model.connect(config) + # Should succeed with callable API key + assert model._websocket == mock_websocket + + @pytest.mark.asyncio + async def test_connect_with_async_callable_api_key(self, model, mock_websocket): + """Test connection with async callable API key provider.""" + + async def get_api_key(): + return "async-api-key" + + config = {"api_key": get_api_key} + + async def async_websocket(*args, **kwargs): + return mock_websocket + + with patch("websockets.connect", side_effect=async_websocket): + with patch("asyncio.create_task") as mock_create_task: + # Mock create_task to return a mock task and properly handle the coroutine + mock_task = AsyncMock() + + def mock_create_task_func(coro): + # Properly close the coroutine to avoid RuntimeWarning + coro.close() + return mock_task + + mock_create_task.side_effect = mock_create_task_func + + await model.connect(config) + assert model._websocket == mock_websocket + + @pytest.mark.asyncio + async def test_connect_websocket_failure_propagates(self, model): + """Test that WebSocket connection failures are properly propagated.""" + config = {"api_key": "test-key"} + + with patch( + "websockets.connect", side_effect=websockets.exceptions.ConnectionClosed(None, None) + ): + with pytest.raises(websockets.exceptions.ConnectionClosed): + await model.connect(config) + + # Verify internal state remains clean after failure + assert model._websocket is None + assert model._websocket_task is None + + @pytest.mark.asyncio + async def test_connect_already_connected_assertion(self, model, mock_websocket): + """Test that connecting when already connected raises assertion error.""" + model._websocket = mock_websocket # Simulate already connected + + config = {"api_key": "test-key"} + + with pytest.raises(AssertionError, match="Already connected"): + await model.connect(config) + + +class TestEventHandlingRobustness(TestOpenAIRealtimeWebSocketModel): + """Test event parsing, validation, and error handling robustness.""" + + @pytest.mark.asyncio + async def test_handle_malformed_json_logs_error_continues(self, model): + """Test that malformed JSON is logged as error but doesn't crash.""" + mock_listener = AsyncMock() + model.add_listener(mock_listener) + + # Malformed JSON should not crash the handler + with patch("agents.realtime.openai_realtime.logger") as mock_logger: + await model._handle_ws_event("invalid json {") + + # Should log error but not crash + mock_logger.error.assert_called_once() + assert "Invalid event" in mock_logger.error.call_args[0][0] + + # Should not emit any events to listeners + mock_listener.on_event.assert_not_called() + + @pytest.mark.asyncio + async def test_handle_invalid_event_schema_logs_error(self, model): + """Test that events with invalid schema are logged but don't crash.""" + mock_listener = AsyncMock() + model.add_listener(mock_listener) + + invalid_event = {"type": "response.audio.delta"} # Missing required fields + + with patch("agents.realtime.openai_realtime.logger") as mock_logger: + await model._handle_ws_event(invalid_event) + + # Should log validation error + mock_logger.error.assert_called_once() + error_msg = mock_logger.error.call_args[0][0] + assert "Invalid event" in error_msg + + # Should not emit events to listeners + mock_listener.on_event.assert_not_called() + + @pytest.mark.asyncio + async def test_handle_unknown_event_type_ignored(self, model): + """Test that unknown event types are ignored gracefully.""" + mock_listener = AsyncMock() + model.add_listener(mock_listener) + + # Create a well-formed but unknown event type + unknown_event = {"type": "unknown.event.type", "data": "some data"} + + # Should not raise error or log anything for unknown types + with patch("agents.realtime.openai_realtime.logger"): + await model._handle_ws_event(unknown_event) + + # Should not log errors for unknown events (they're just ignored) + # This will depend on the TypeAdapter validation behavior + # If it fails validation, it should log; if it passes but type is + # unknown, it should be ignored + pass + + @pytest.mark.asyncio + async def test_handle_audio_delta_event_success(self, model): + """Test successful handling of audio delta events.""" + mock_listener = AsyncMock() + model.add_listener(mock_listener) + + # Valid audio delta event (minimal required fields for OpenAI spec) + audio_event = { + "type": "response.audio.delta", + "event_id": "event_123", + "response_id": "resp_123", + "item_id": "item_456", + "output_index": 0, + "content_index": 0, + "delta": "dGVzdCBhdWRpbw==", # base64 encoded "test audio" + } + + with patch("agents.realtime.openai_realtime.datetime") as mock_datetime: + mock_now = datetime(2024, 1, 1, 12, 0, 0) + mock_datetime.now.return_value = mock_now + + await model._handle_ws_event(audio_event) + + # Should emit audio event to listeners + mock_listener.on_event.assert_called_once() + emitted_event = mock_listener.on_event.call_args[0][0] + assert isinstance(emitted_event, RealtimeModelAudioEvent) + assert emitted_event.response_id == "resp_123" + assert emitted_event.data == b"test audio" # decoded from base64 + + # Should update internal audio tracking state + assert model._current_item_id == "item_456" + assert model._current_audio_content_index == 0 + assert model._audio_start_time == mock_now + + @pytest.mark.asyncio + async def test_handle_error_event_success(self, model): + """Test successful handling of error events.""" + mock_listener = AsyncMock() + model.add_listener(mock_listener) + + error_event = { + "type": "error", + "event_id": "event_456", + "error": { + "type": "invalid_request_error", + "code": "invalid_api_key", + "message": "Invalid API key provided", + }, + } + + await model._handle_ws_event(error_event) + + # Should emit error event to listeners + mock_listener.on_event.assert_called_once() + emitted_event = mock_listener.on_event.call_args[0][0] + assert isinstance(emitted_event, RealtimeModelErrorEvent) + + @pytest.mark.asyncio + async def test_handle_tool_call_event_success(self, model): + """Test successful handling of function call events.""" + mock_listener = AsyncMock() + model.add_listener(mock_listener) + + # Test response.output_item.done with function_call + tool_call_event = { + "type": "response.output_item.done", + "event_id": "event_789", + "response_id": "resp_789", + "output_index": 0, + "item": { + "id": "call_123", + "type": "function_call", + "status": "completed", + "name": "get_weather", + "arguments": '{"location": "San Francisco"}', + }, + } + + await model._handle_ws_event(tool_call_event) + + # Should emit both item updated and tool call events + assert mock_listener.on_event.call_count == 2 + + # First should be item updated, second should be tool call + calls = mock_listener.on_event.call_args_list + tool_call_emitted = calls[1][0][0] + assert isinstance(tool_call_emitted, RealtimeModelToolCallEvent) + assert tool_call_emitted.name == "get_weather" + assert tool_call_emitted.arguments == '{"location": "San Francisco"}' + assert tool_call_emitted.call_id == "call_123" + + @pytest.mark.asyncio + async def test_audio_timing_calculation_accuracy(self, model): + """Test that audio timing calculations are accurate for interruption handling.""" + mock_listener = AsyncMock() + model.add_listener(mock_listener) + + # Send multiple audio deltas to test cumulative timing + audio_deltas = [ + { + "type": "response.audio.delta", + "event_id": "event_1", + "response_id": "resp_1", + "item_id": "item_1", + "output_index": 0, + "content_index": 0, + "delta": "dGVzdA==", # 4 bytes -> "test" + }, + { + "type": "response.audio.delta", + "event_id": "event_2", + "response_id": "resp_1", + "item_id": "item_1", + "output_index": 0, + "content_index": 0, + "delta": "bW9yZQ==", # 4 bytes -> "more" + }, + ] + + for event in audio_deltas: + await model._handle_ws_event(event) + + # Should accumulate audio length: 8 bytes / 24 / 2 = ~0.167ms per byte + # Total: 8 bytes / 24 / 2 = 0.167ms + expected_length = 8 / 24 / 2 + assert abs(model._audio_length_ms - expected_length) < 0.001 + + def test_calculate_audio_length_ms_pure_function(self, model): + """Test the pure audio length calculation function.""" + # Test various audio buffer sizes + assert model._calculate_audio_length_ms(b"test") == 4 / 24 / 2 # 4 bytes + assert model._calculate_audio_length_ms(b"") == 0 # empty + assert model._calculate_audio_length_ms(b"a" * 48) == 1.0 # exactly 1ms worth + + @pytest.mark.asyncio + async def test_handle_audio_delta_state_management(self, model): + """Test that _handle_audio_delta properly manages internal state.""" + # Create mock parsed event + mock_parsed = Mock() + mock_parsed.content_index = 5 + mock_parsed.item_id = "test_item" + mock_parsed.delta = "dGVzdA==" # "test" in base64 + mock_parsed.response_id = "resp_123" + + with patch("agents.realtime.openai_realtime.datetime") as mock_datetime: + mock_now = datetime(2024, 1, 1, 12, 0, 0) + mock_datetime.now.return_value = mock_now + + await model._handle_audio_delta(mock_parsed) + + # Check state was updated correctly + assert model._current_audio_content_index == 5 + assert model._current_item_id == "test_item" + assert model._audio_start_time == mock_now + assert model._audio_length_ms == 4 / 24 / 2 # 4 bytes From 805e8696081b883083d1bf65b450ecce67e7e0af Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 21:20:51 -0400 Subject: [PATCH 201/337] Add tests for openai realtime model --- src/agents/realtime/openai_realtime.py | 133 +++++---- tests/realtime/test_openai_realtime.py | 385 +++++++++++++++++++++++++ 2 files changed, 461 insertions(+), 57 deletions(-) create mode 100644 tests/realtime/test_openai_realtime.py diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index b3f6eb2e0..de8f57ac7 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -9,9 +9,11 @@ from typing import Any, Callable import websockets +from openai.types.beta.realtime.conversation_item import ConversationItem from openai.types.beta.realtime.realtime_server_event import ( RealtimeServerEvent as OpenAIRealtimeServerEvent, ) +from openai.types.beta.realtime.response_audio_delta_event import ResponseAudioDeltaEvent from pydantic import TypeAdapter from websockets.asyncio.client import ClientConnection @@ -233,6 +235,77 @@ async def interrupt(self) -> None: self._audio_length_ms = 0.0 self._current_audio_content_index = None + async def _handle_audio_delta(self, parsed: ResponseAudioDeltaEvent) -> None: + """Handle audio delta events and update audio tracking state.""" + self._current_audio_content_index = parsed.content_index + self._current_item_id = parsed.item_id + if self._audio_start_time is None: + self._audio_start_time = datetime.now() + self._audio_length_ms = 0.0 + + audio_bytes = base64.b64decode(parsed.delta) + # Calculate audio length in ms using 24KHz pcm16le + self._audio_length_ms += self._calculate_audio_length_ms(audio_bytes) + await self._emit_event( + RealtimeModelAudioEvent(data=audio_bytes, response_id=parsed.response_id) + ) + + def _calculate_audio_length_ms(self, audio_bytes: bytes) -> float: + """Calculate audio length in milliseconds for 24KHz PCM16LE format.""" + return len(audio_bytes) / 24 / 2 + + async def _handle_output_item(self, item: ConversationItem) -> None: + """Handle response output item events (function calls and messages).""" + if item.type == "function_call" and item.status == "completed": + tool_call = RealtimeToolCallItem( + item_id=item.id or "", + previous_item_id=None, + type="function_call", + # We use the same item for tool call and output, so it will be completed by the + # output being added + status="in_progress", + arguments=item.arguments or "", + name=item.name or "", + output=None, + ) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=tool_call)) + await self._emit_event( + RealtimeModelToolCallEvent( + call_id=item.id or "", + name=item.name or "", + arguments=item.arguments or "", + id=item.id or "", + ) + ) + elif item.type == "message": + # Handle message items from output_item events (no previous_item_id) + message_item: RealtimeMessageItem = TypeAdapter(RealtimeMessageItem).validate_python( + { + "item_id": item.id or "", + "type": item.type, + "role": item.role, + "content": item.content, + "status": "in_progress", + } + ) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=message_item)) + + async def _handle_conversation_item( + self, item: ConversationItem, previous_item_id: str | None + ) -> None: + """Handle conversation item creation/retrieval events.""" + message_item: RealtimeMessageItem = TypeAdapter(RealtimeMessageItem).validate_python( + { + "item_id": item.id or "", + "previous_item_id": previous_item_id, + "type": item.type, + "role": item.role, + "content": item.content, + "status": "in_progress", + } + ) + await self._emit_event(RealtimeModelItemUpdatedEvent(item=message_item)) + async def close(self) -> None: """Close the session.""" if self._websocket: @@ -258,18 +331,7 @@ async def _handle_ws_event(self, event: dict[str, Any]): return if parsed.type == "response.audio.delta": - self._current_audio_content_index = parsed.content_index - self._current_item_id = parsed.item_id - if self._audio_start_time is None: - self._audio_start_time = datetime.now() - self._audio_length_ms = 0.0 - - audio_bytes = base64.b64decode(parsed.delta) - # Calculate audio length in ms using 24KHz pcm16le - self._audio_length_ms += len(audio_bytes) / 24 / 2 - await self._emit_event( - RealtimeModelAudioEvent(data=audio_bytes, response_id=parsed.response_id) - ) + await self._handle_audio_delta(parsed) elif parsed.type == "response.audio.done": await self._emit_event(RealtimeModelAudioDoneEvent()) elif parsed.type == "input_audio_buffer.speech_started": @@ -291,21 +353,10 @@ async def _handle_ws_event(self, event: dict[str, Any]): parsed.type == "conversation.item.created" or parsed.type == "conversation.item.retrieved" ): - item = parsed.item previous_item_id = ( parsed.previous_item_id if parsed.type == "conversation.item.created" else None ) - message_item: RealtimeMessageItem = TypeAdapter(RealtimeMessageItem).validate_python( - { - "item_id": item.id or "", - "previous_item_id": previous_item_id, - "type": item.type, - "role": item.role, - "content": item.content, - "status": "in_progress", - } - ) - await self._emit_event(RealtimeModelItemUpdatedEvent(item=message_item)) + await self._handle_conversation_item(parsed.item, previous_item_id) elif ( parsed.type == "conversation.item.input_audio_transcription.completed" or parsed.type == "conversation.item.truncated" @@ -341,36 +392,4 @@ async def _handle_ws_event(self, event: dict[str, Any]): parsed.type == "response.output_item.added" or parsed.type == "response.output_item.done" ): - item = parsed.item - if item.type == "function_call" and item.status == "completed": - tool_call = RealtimeToolCallItem( - item_id=item.id or "", - previous_item_id=None, - type="function_call", - # We use the same item for tool call and output, so it will be completed by the - # output being added - status="in_progress", - arguments=item.arguments or "", - name=item.name or "", - output=None, - ) - await self._emit_event(RealtimeModelItemUpdatedEvent(item=tool_call)) - await self._emit_event( - RealtimeModelToolCallEvent( - call_id=item.id or "", - name=item.name or "", - arguments=item.arguments or "", - id=item.id or "", - ) - ) - elif item.type == "message": - message_item = TypeAdapter(RealtimeMessageItem).validate_python( - { - "item_id": item.id or "", - "type": item.type, - "role": item.role, - "content": item.content, - "status": "in_progress", - } - ) - await self._emit_event(RealtimeModelItemUpdatedEvent(item=message_item)) + await self._handle_output_item(parsed.item) diff --git a/tests/realtime/test_openai_realtime.py b/tests/realtime/test_openai_realtime.py new file mode 100644 index 000000000..9fe2f9acb --- /dev/null +++ b/tests/realtime/test_openai_realtime.py @@ -0,0 +1,385 @@ +from datetime import datetime +from typing import Any +from unittest.mock import AsyncMock, Mock, patch + +import pytest +import websockets + +from agents.exceptions import UserError +from agents.realtime.model_events import ( + RealtimeModelAudioEvent, + RealtimeModelErrorEvent, + RealtimeModelToolCallEvent, +) +from agents.realtime.openai_realtime import OpenAIRealtimeWebSocketModel + + +class TestOpenAIRealtimeWebSocketModel: + """Test suite for OpenAIRealtimeWebSocketModel connection and event handling.""" + + @pytest.fixture + def model(self): + """Create a fresh model instance for each test.""" + return OpenAIRealtimeWebSocketModel() + + @pytest.fixture + def mock_websocket(self): + """Create a mock websocket connection.""" + mock_ws = AsyncMock() + mock_ws.send = AsyncMock() + mock_ws.close = AsyncMock() + return mock_ws + + +class TestConnectionLifecycle(TestOpenAIRealtimeWebSocketModel): + """Test connection establishment, configuration, and error handling.""" + + @pytest.mark.asyncio + async def test_connect_missing_api_key_raises_error(self, model): + """Test that missing API key raises UserError.""" + config: dict[str, Any] = {"initial_model_settings": {}} + + with patch.dict("os.environ", {}, clear=True): + with pytest.raises(UserError, match="API key is required"): + await model.connect(config) + + @pytest.mark.asyncio + async def test_connect_with_string_api_key(self, model, mock_websocket): + """Test successful connection with string API key.""" + config = { + "api_key": "test-api-key-123", + "initial_model_settings": {"model_name": "gpt-4o-realtime-preview"}, + } + + async def async_websocket(*args, **kwargs): + return mock_websocket + + with patch("websockets.connect", side_effect=async_websocket) as mock_connect: + with patch("asyncio.create_task") as mock_create_task: + # Mock create_task to return a mock task and properly handle the coroutine + mock_task = AsyncMock() + + def mock_create_task_func(coro): + # Properly close the coroutine to avoid RuntimeWarning + coro.close() + return mock_task + + mock_create_task.side_effect = mock_create_task_func + + await model.connect(config) + + # Verify WebSocket connection called with correct parameters + mock_connect.assert_called_once() + call_args = mock_connect.call_args + assert ( + call_args[0][0] + == "wss://api.openai.com/v1/realtime?model=gpt-4o-realtime-preview" + ) + assert ( + call_args[1]["additional_headers"]["Authorization"] == "Bearer test-api-key-123" + ) + assert call_args[1]["additional_headers"]["OpenAI-Beta"] == "realtime=v1" + + # Verify task was created for message listening + mock_create_task.assert_called_once() + + # Verify internal state + assert model._websocket == mock_websocket + assert model._websocket_task is not None + assert model.model == "gpt-4o-realtime-preview" + + @pytest.mark.asyncio + async def test_connect_with_callable_api_key(self, model, mock_websocket): + """Test connection with callable API key provider.""" + + def get_api_key(): + return "callable-api-key" + + config = {"api_key": get_api_key} + + async def async_websocket(*args, **kwargs): + return mock_websocket + + with patch("websockets.connect", side_effect=async_websocket): + with patch("asyncio.create_task") as mock_create_task: + # Mock create_task to return a mock task and properly handle the coroutine + mock_task = AsyncMock() + + def mock_create_task_func(coro): + # Properly close the coroutine to avoid RuntimeWarning + coro.close() + return mock_task + + mock_create_task.side_effect = mock_create_task_func + + await model.connect(config) + # Should succeed with callable API key + assert model._websocket == mock_websocket + + @pytest.mark.asyncio + async def test_connect_with_async_callable_api_key(self, model, mock_websocket): + """Test connection with async callable API key provider.""" + + async def get_api_key(): + return "async-api-key" + + config = {"api_key": get_api_key} + + async def async_websocket(*args, **kwargs): + return mock_websocket + + with patch("websockets.connect", side_effect=async_websocket): + with patch("asyncio.create_task") as mock_create_task: + # Mock create_task to return a mock task and properly handle the coroutine + mock_task = AsyncMock() + + def mock_create_task_func(coro): + # Properly close the coroutine to avoid RuntimeWarning + coro.close() + return mock_task + + mock_create_task.side_effect = mock_create_task_func + + await model.connect(config) + assert model._websocket == mock_websocket + + @pytest.mark.asyncio + async def test_connect_websocket_failure_propagates(self, model): + """Test that WebSocket connection failures are properly propagated.""" + config = {"api_key": "test-key"} + + with patch( + "websockets.connect", side_effect=websockets.exceptions.ConnectionClosed(None, None) + ): + with pytest.raises(websockets.exceptions.ConnectionClosed): + await model.connect(config) + + # Verify internal state remains clean after failure + assert model._websocket is None + assert model._websocket_task is None + + @pytest.mark.asyncio + async def test_connect_already_connected_assertion(self, model, mock_websocket): + """Test that connecting when already connected raises assertion error.""" + model._websocket = mock_websocket # Simulate already connected + + config = {"api_key": "test-key"} + + with pytest.raises(AssertionError, match="Already connected"): + await model.connect(config) + + +class TestEventHandlingRobustness(TestOpenAIRealtimeWebSocketModel): + """Test event parsing, validation, and error handling robustness.""" + + @pytest.mark.asyncio + async def test_handle_malformed_json_logs_error_continues(self, model): + """Test that malformed JSON is logged as error but doesn't crash.""" + mock_listener = AsyncMock() + model.add_listener(mock_listener) + + # Malformed JSON should not crash the handler + with patch("agents.realtime.openai_realtime.logger") as mock_logger: + await model._handle_ws_event("invalid json {") + + # Should log error but not crash + mock_logger.error.assert_called_once() + assert "Invalid event" in mock_logger.error.call_args[0][0] + + # Should not emit any events to listeners + mock_listener.on_event.assert_not_called() + + @pytest.mark.asyncio + async def test_handle_invalid_event_schema_logs_error(self, model): + """Test that events with invalid schema are logged but don't crash.""" + mock_listener = AsyncMock() + model.add_listener(mock_listener) + + invalid_event = {"type": "response.audio.delta"} # Missing required fields + + with patch("agents.realtime.openai_realtime.logger") as mock_logger: + await model._handle_ws_event(invalid_event) + + # Should log validation error + mock_logger.error.assert_called_once() + error_msg = mock_logger.error.call_args[0][0] + assert "Invalid event" in error_msg + + # Should not emit events to listeners + mock_listener.on_event.assert_not_called() + + @pytest.mark.asyncio + async def test_handle_unknown_event_type_ignored(self, model): + """Test that unknown event types are ignored gracefully.""" + mock_listener = AsyncMock() + model.add_listener(mock_listener) + + # Create a well-formed but unknown event type + unknown_event = {"type": "unknown.event.type", "data": "some data"} + + # Should not raise error or log anything for unknown types + with patch("agents.realtime.openai_realtime.logger"): + await model._handle_ws_event(unknown_event) + + # Should not log errors for unknown events (they're just ignored) + # This will depend on the TypeAdapter validation behavior + # If it fails validation, it should log; if it passes but type is + # unknown, it should be ignored + pass + + @pytest.mark.asyncio + async def test_handle_audio_delta_event_success(self, model): + """Test successful handling of audio delta events.""" + mock_listener = AsyncMock() + model.add_listener(mock_listener) + + # Valid audio delta event (minimal required fields for OpenAI spec) + audio_event = { + "type": "response.audio.delta", + "event_id": "event_123", + "response_id": "resp_123", + "item_id": "item_456", + "output_index": 0, + "content_index": 0, + "delta": "dGVzdCBhdWRpbw==", # base64 encoded "test audio" + } + + with patch("agents.realtime.openai_realtime.datetime") as mock_datetime: + mock_now = datetime(2024, 1, 1, 12, 0, 0) + mock_datetime.now.return_value = mock_now + + await model._handle_ws_event(audio_event) + + # Should emit audio event to listeners + mock_listener.on_event.assert_called_once() + emitted_event = mock_listener.on_event.call_args[0][0] + assert isinstance(emitted_event, RealtimeModelAudioEvent) + assert emitted_event.response_id == "resp_123" + assert emitted_event.data == b"test audio" # decoded from base64 + + # Should update internal audio tracking state + assert model._current_item_id == "item_456" + assert model._current_audio_content_index == 0 + assert model._audio_start_time == mock_now + + @pytest.mark.asyncio + async def test_handle_error_event_success(self, model): + """Test successful handling of error events.""" + mock_listener = AsyncMock() + model.add_listener(mock_listener) + + error_event = { + "type": "error", + "event_id": "event_456", + "error": { + "type": "invalid_request_error", + "code": "invalid_api_key", + "message": "Invalid API key provided", + }, + } + + await model._handle_ws_event(error_event) + + # Should emit error event to listeners + mock_listener.on_event.assert_called_once() + emitted_event = mock_listener.on_event.call_args[0][0] + assert isinstance(emitted_event, RealtimeModelErrorEvent) + + @pytest.mark.asyncio + async def test_handle_tool_call_event_success(self, model): + """Test successful handling of function call events.""" + mock_listener = AsyncMock() + model.add_listener(mock_listener) + + # Test response.output_item.done with function_call + tool_call_event = { + "type": "response.output_item.done", + "event_id": "event_789", + "response_id": "resp_789", + "output_index": 0, + "item": { + "id": "call_123", + "type": "function_call", + "status": "completed", + "name": "get_weather", + "arguments": '{"location": "San Francisco"}', + }, + } + + await model._handle_ws_event(tool_call_event) + + # Should emit both item updated and tool call events + assert mock_listener.on_event.call_count == 2 + + # First should be item updated, second should be tool call + calls = mock_listener.on_event.call_args_list + tool_call_emitted = calls[1][0][0] + assert isinstance(tool_call_emitted, RealtimeModelToolCallEvent) + assert tool_call_emitted.name == "get_weather" + assert tool_call_emitted.arguments == '{"location": "San Francisco"}' + assert tool_call_emitted.call_id == "call_123" + + @pytest.mark.asyncio + async def test_audio_timing_calculation_accuracy(self, model): + """Test that audio timing calculations are accurate for interruption handling.""" + mock_listener = AsyncMock() + model.add_listener(mock_listener) + + # Send multiple audio deltas to test cumulative timing + audio_deltas = [ + { + "type": "response.audio.delta", + "event_id": "event_1", + "response_id": "resp_1", + "item_id": "item_1", + "output_index": 0, + "content_index": 0, + "delta": "dGVzdA==", # 4 bytes -> "test" + }, + { + "type": "response.audio.delta", + "event_id": "event_2", + "response_id": "resp_1", + "item_id": "item_1", + "output_index": 0, + "content_index": 0, + "delta": "bW9yZQ==", # 4 bytes -> "more" + }, + ] + + for event in audio_deltas: + await model._handle_ws_event(event) + + # Should accumulate audio length: 8 bytes / 24 / 2 = ~0.167ms per byte + # Total: 8 bytes / 24 / 2 = 0.167ms + expected_length = 8 / 24 / 2 + assert abs(model._audio_length_ms - expected_length) < 0.001 + + def test_calculate_audio_length_ms_pure_function(self, model): + """Test the pure audio length calculation function.""" + # Test various audio buffer sizes + assert model._calculate_audio_length_ms(b"test") == 4 / 24 / 2 # 4 bytes + assert model._calculate_audio_length_ms(b"") == 0 # empty + assert model._calculate_audio_length_ms(b"a" * 48) == 1.0 # exactly 1ms worth + + @pytest.mark.asyncio + async def test_handle_audio_delta_state_management(self, model): + """Test that _handle_audio_delta properly manages internal state.""" + # Create mock parsed event + mock_parsed = Mock() + mock_parsed.content_index = 5 + mock_parsed.item_id = "test_item" + mock_parsed.delta = "dGVzdA==" # "test" in base64 + mock_parsed.response_id = "resp_123" + + with patch("agents.realtime.openai_realtime.datetime") as mock_datetime: + mock_now = datetime(2024, 1, 1, 12, 0, 0) + mock_datetime.now.return_value = mock_now + + await model._handle_audio_delta(mock_parsed) + + # Check state was updated correctly + assert model._current_audio_content_index == 5 + assert model._current_item_id == "test_item" + assert model._audio_start_time == mock_now + assert model._audio_length_ms == 4 / 24 / 2 # 4 bytes From 942c53399d76a17cdaa1ba6e454de60cad074ca6 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 21:44:33 -0400 Subject: [PATCH 202/337] Realtime guardrail support --- src/agents/realtime/config.py | 19 +++- src/agents/realtime/events.py | 17 ++- src/agents/realtime/runner.py | 1 + src/agents/realtime/session.py | 90 +++++++++++++-- tests/realtime/test_session.py | 194 +++++++++++++++++++++++++++++++++ 5 files changed, 312 insertions(+), 9 deletions(-) diff --git a/src/agents/realtime/config.py b/src/agents/realtime/config.py index 459a03a9a..ad98c9c7a 100644 --- a/src/agents/realtime/config.py +++ b/src/agents/realtime/config.py @@ -8,6 +8,7 @@ from typing_extensions import NotRequired, TypeAlias, TypedDict +from ..guardrail import OutputGuardrail from ..model_settings import ToolChoice from ..tool import Tool @@ -83,10 +84,26 @@ class RealtimeSessionModelSettings(TypedDict): tools: NotRequired[list[Tool]] +class RealtimeGuardrailsSettings(TypedDict): + """Settings for output guardrails in realtime sessions.""" + + debounce_text_length: NotRequired[int] + """ + The minimum number of characters to accumulate before running guardrails on transcript + deltas. Defaults to 100. Guardrails run every time the accumulated text reaches + 1x, 2x, 3x, etc. times this threshold. + """ + + class RealtimeRunConfig(TypedDict): model_settings: NotRequired[RealtimeSessionModelSettings] + output_guardrails: NotRequired[list[OutputGuardrail[Any]]] + """List of output guardrails to run on the agent's responses.""" + + guardrails_settings: NotRequired[RealtimeGuardrailsSettings] + """Settings for guardrail execution.""" + # TODO (rm) Add tracing support # tracing: NotRequired[RealtimeTracingConfig | None] - # TODO (rm) Add guardrail support # TODO (rm) Add history audio storage config diff --git a/src/agents/realtime/events.py b/src/agents/realtime/events.py index 44a588f03..e1b3cfea3 100644 --- a/src/agents/realtime/events.py +++ b/src/agents/realtime/events.py @@ -5,6 +5,7 @@ from typing_extensions import TypeAlias +from ..guardrail import OutputGuardrailResult from ..run_context import RunContextWrapper from ..tool import Tool from .agent import RealtimeAgent @@ -181,7 +182,20 @@ class RealtimeHistoryAdded: type: Literal["history_added"] = "history_added" -# TODO (rm) Add guardrails +@dataclass +class RealtimeGuardrailTripped: + """A guardrail has been tripped and the agent has been interrupted.""" + + guardrail_results: list[OutputGuardrailResult] + """The results from all triggered guardrails.""" + + message: str + """The message that was being generated when the guardrail was triggered.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["guardrail_tripped"] = "guardrail_tripped" RealtimeSessionEvent: TypeAlias = Union[ RealtimeAgentStartEvent, @@ -196,5 +210,6 @@ class RealtimeHistoryAdded: RealtimeError, RealtimeHistoryUpdated, RealtimeHistoryAdded, + RealtimeGuardrailTripped, ] """An event emitted by the realtime session.""" diff --git a/src/agents/realtime/runner.py b/src/agents/realtime/runner.py index 4470ab220..369267797 100644 --- a/src/agents/realtime/runner.py +++ b/src/agents/realtime/runner.py @@ -82,6 +82,7 @@ async def run( agent=self._starting_agent, context=context, model_config=model_config, + run_config=self._config, ) return session diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index df80c063f..0ca3bf7af 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -2,16 +2,17 @@ import asyncio from collections.abc import AsyncIterator -from typing import Any +from typing import Any, cast from typing_extensions import assert_never +from ..agent import Agent from ..handoffs import Handoff from ..run_context import RunContextWrapper, TContext from ..tool import FunctionTool from ..tool_context import ToolContext from .agent import RealtimeAgent -from .config import RealtimeUserInput +from .config import RealtimeRunConfig, RealtimeUserInput from .events import ( RealtimeAgentEndEvent, RealtimeAgentStartEvent, @@ -20,6 +21,7 @@ RealtimeAudioInterrupted, RealtimeError, RealtimeEventInfo, + RealtimeGuardrailTripped, RealtimeHistoryAdded, RealtimeHistoryUpdated, RealtimeRawModelEvent, @@ -62,16 +64,16 @@ def __init__( agent: RealtimeAgent, context: TContext | None, model_config: RealtimeModelConfig | None = None, + run_config: RealtimeRunConfig | None = None, ) -> None: """Initialize the session. Args: model: The model to use. agent: The current agent. - context_wrapper: The context wrapper. - event_info: Event info object. - history: The conversation history. + context: The context object. model_config: Model configuration. + run_config: Runtime configuration including guardrails. """ self._model = model self._current_agent = agent @@ -79,9 +81,18 @@ def __init__( self._event_info = RealtimeEventInfo(context=self._context_wrapper) self._history: list[RealtimeItem] = [] self._model_config = model_config or {} + self._run_config = run_config or {} self._event_queue: asyncio.Queue[RealtimeSessionEvent] = asyncio.Queue() self._closed = False + # Guardrails state tracking + self._interrupted_by_guardrail = False + self._item_transcripts: dict[str, str] = {} # item_id -> accumulated transcript + self._item_guardrail_run_counts: dict[str, int] = {} # item_id -> run count + self._debounce_text_length = self._run_config.get("guardrails_settings", {}).get( + "debounce_text_length", 100 + ) + async def __aenter__(self) -> RealtimeSession: """Start the session by connecting to the model. After this, you will be able to stream events from the model and send messages and audio to the model. @@ -159,8 +170,22 @@ async def on_event(self, event: RealtimeModelEvent) -> None: RealtimeHistoryUpdated(info=self._event_info, history=self._history) ) elif event.type == "transcript_delta": - # TODO (rm) Add guardrails - pass + # Accumulate transcript text for guardrail debouncing per item_id + item_id = event.item_id + if item_id not in self._item_transcripts: + self._item_transcripts[item_id] = "" + self._item_guardrail_run_counts[item_id] = 0 + + self._item_transcripts[item_id] += event.delta + + # Check if we should run guardrails based on debounce threshold + current_length = len(self._item_transcripts[item_id]) + threshold = self._debounce_text_length + next_run_threshold = (self._item_guardrail_run_counts[item_id] + 1) * threshold + + if current_length >= next_run_threshold: + self._item_guardrail_run_counts[item_id] += 1 + await self._run_output_guardrails(self._item_transcripts[item_id]) elif event.type == "item_updated": is_new = not any(item.item_id == event.item.item_id for item in self._history) self._history = self._get_new_history(self._history, event.item) @@ -189,6 +214,11 @@ async def on_event(self, event: RealtimeModelEvent) -> None: ) ) elif event.type == "turn_ended": + # Clear guardrail state for next turn + self._item_transcripts.clear() + self._item_guardrail_run_counts.clear() + self._interrupted_by_guardrail = False + await self._put_event( RealtimeAgentEndEvent( agent=self._current_agent, @@ -290,3 +320,49 @@ def _get_new_history( # Otherwise, add it to the end return old_history + [event] + + async def _run_output_guardrails(self, text: str) -> bool: + """Run output guardrails on the given text. Returns True if any guardrail was triggered.""" + output_guardrails = self._run_config.get("output_guardrails", []) + if not output_guardrails or self._interrupted_by_guardrail: + return False + + triggered_results = [] + + for guardrail in output_guardrails: + try: + result = await guardrail.run( + # TODO (rm) Remove this cast, it's wrong + self._context_wrapper, + cast(Agent[Any], self._current_agent), + text, + ) + if result.output.tripwire_triggered: + triggered_results.append(result) + except Exception: + # Continue with other guardrails if one fails + continue + + if triggered_results: + # Mark as interrupted to prevent multiple interrupts + self._interrupted_by_guardrail = True + + # Emit guardrail tripped event + await self._put_event( + RealtimeGuardrailTripped( + guardrail_results=triggered_results, + message=text, + info=self._event_info, + ) + ) + + # Interrupt the model + await self._model.interrupt() + + # Send guardrail triggered message + guardrail_names = [result.guardrail.get_name() for result in triggered_results] + await self._model.send_message(f"guardrail triggered: {', '.join(guardrail_names)}") + + return True + + return False diff --git a/tests/realtime/test_session.py b/tests/realtime/test_session.py index f0abd4502..6003f9443 100644 --- a/tests/realtime/test_session.py +++ b/tests/realtime/test_session.py @@ -3,8 +3,10 @@ import pytest +from agents.guardrail import GuardrailFunctionOutput, OutputGuardrail from agents.handoffs import Handoff from agents.realtime.agent import RealtimeAgent +from agents.realtime.config import RealtimeRunConfig from agents.realtime.events import ( RealtimeAgentEndEvent, RealtimeAgentStartEvent, @@ -12,6 +14,7 @@ RealtimeAudioEnd, RealtimeAudioInterrupted, RealtimeError, + RealtimeGuardrailTripped, RealtimeHistoryAdded, RealtimeHistoryUpdated, RealtimeRawModelEvent, @@ -963,3 +966,194 @@ async def test_mixed_tool_types_filtering(self, mock_model, mock_agent): # Verify result sent_call, sent_output, _ = mock_model.sent_tool_outputs[0] assert sent_output == "result2" + + +class TestGuardrailFunctionality: + """Test suite for output guardrail functionality in RealtimeSession""" + + @pytest.fixture + def triggered_guardrail(self): + """Creates a guardrail that always triggers""" + def guardrail_func(context, agent, output): + return GuardrailFunctionOutput( + output_info={"reason": "test trigger"}, + tripwire_triggered=True + ) + return OutputGuardrail(guardrail_function=guardrail_func, name="triggered_guardrail") + + @pytest.fixture + def safe_guardrail(self): + """Creates a guardrail that never triggers""" + def guardrail_func(context, agent, output): + return GuardrailFunctionOutput( + output_info={"reason": "safe content"}, + tripwire_triggered=False + ) + return OutputGuardrail(guardrail_function=guardrail_func, name="safe_guardrail") + + @pytest.mark.asyncio + async def test_transcript_delta_triggers_guardrail_at_threshold( + self, mock_model, mock_agent, triggered_guardrail + ): + """Test that guardrails run when transcript delta reaches debounce threshold""" + run_config: RealtimeRunConfig = { + "output_guardrails": [triggered_guardrail], + "guardrails_settings": {"debounce_text_length": 10} + } + + session = RealtimeSession(mock_model, mock_agent, None, run_config=run_config) + + # Send transcript delta that exceeds threshold (10 chars) + transcript_event = RealtimeModelTranscriptDeltaEvent( + item_id="item_1", delta="this is more than ten characters", response_id="resp_1" + ) + + await session.on_event(transcript_event) + + # Should have triggered guardrail and interrupted + assert session._interrupted_by_guardrail is True + assert mock_model.interrupts_called == 1 + assert len(mock_model.sent_messages) == 1 + assert "triggered_guardrail" in mock_model.sent_messages[0] + + # Should have emitted guardrail_tripped event + events = [] + while not session._event_queue.empty(): + events.append(await session._event_queue.get()) + + guardrail_events = [e for e in events if isinstance(e, RealtimeGuardrailTripped)] + assert len(guardrail_events) == 1 + assert guardrail_events[0].message == "this is more than ten characters" + + @pytest.mark.asyncio + async def test_transcript_delta_multiple_thresholds_same_item( + self, mock_model, mock_agent, triggered_guardrail + ): + """Test guardrails run at 1x, 2x, 3x thresholds for same item_id""" + run_config: RealtimeRunConfig = { + "output_guardrails": [triggered_guardrail], + "guardrails_settings": {"debounce_text_length": 5} + } + + session = RealtimeSession(mock_model, mock_agent, None, run_config=run_config) + + # First delta - reaches 1x threshold (5 chars) + await session.on_event(RealtimeModelTranscriptDeltaEvent( + item_id="item_1", delta="12345", response_id="resp_1" + )) + + # Second delta - reaches 2x threshold (10 chars total) + await session.on_event(RealtimeModelTranscriptDeltaEvent( + item_id="item_1", delta="67890", response_id="resp_1" + )) + + # Should only trigger once due to interrupted_by_guardrail flag + assert mock_model.interrupts_called == 1 + assert len(mock_model.sent_messages) == 1 + + @pytest.mark.asyncio + async def test_transcript_delta_different_items_tracked_separately( + self, mock_model, mock_agent, safe_guardrail + ): + """Test that different item_ids are tracked separately for debouncing""" + run_config: RealtimeRunConfig = { + "output_guardrails": [safe_guardrail], + "guardrails_settings": {"debounce_text_length": 10} + } + + session = RealtimeSession(mock_model, mock_agent, None, run_config=run_config) + + # Add text to item_1 (8 chars - below threshold) + await session.on_event(RealtimeModelTranscriptDeltaEvent( + item_id="item_1", delta="12345678", response_id="resp_1" + )) + + # Add text to item_2 (8 chars - below threshold) + await session.on_event(RealtimeModelTranscriptDeltaEvent( + item_id="item_2", delta="abcdefgh", response_id="resp_2" + )) + + # Neither should trigger guardrails yet + assert mock_model.interrupts_called == 0 + + # Add more text to item_1 (total 12 chars - above threshold) + await session.on_event(RealtimeModelTranscriptDeltaEvent( + item_id="item_1", delta="90ab", response_id="resp_1" + )) + + # item_1 should have triggered guardrail run (but not interrupted since safe) + assert session._item_guardrail_run_counts["item_1"] == 1 + assert ( + "item_2" not in session._item_guardrail_run_counts + or session._item_guardrail_run_counts["item_2"] == 0 + ) + + @pytest.mark.asyncio + async def test_turn_ended_clears_guardrail_state( + self, mock_model, mock_agent, triggered_guardrail + ): + """Test that turn_ended event clears guardrail state for next turn""" + run_config: RealtimeRunConfig = { + "output_guardrails": [triggered_guardrail], + "guardrails_settings": {"debounce_text_length": 5} + } + + session = RealtimeSession(mock_model, mock_agent, None, run_config=run_config) + + # Trigger guardrail + await session.on_event(RealtimeModelTranscriptDeltaEvent( + item_id="item_1", delta="trigger", response_id="resp_1" + )) + + assert session._interrupted_by_guardrail is True + assert len(session._item_transcripts) == 1 + + # End turn + await session.on_event(RealtimeModelTurnEndedEvent()) + + # State should be cleared + assert session._interrupted_by_guardrail is False + assert len(session._item_transcripts) == 0 + assert len(session._item_guardrail_run_counts) == 0 + + @pytest.mark.asyncio + async def test_multiple_guardrails_all_triggered( + self, mock_model, mock_agent + ): + """Test that all triggered guardrails are included in the event""" + def create_triggered_guardrail(name): + def guardrail_func(context, agent, output): + return GuardrailFunctionOutput( + output_info={"name": name}, + tripwire_triggered=True + ) + return OutputGuardrail(guardrail_function=guardrail_func, name=name) + + guardrail1 = create_triggered_guardrail("guardrail_1") + guardrail2 = create_triggered_guardrail("guardrail_2") + + run_config: RealtimeRunConfig = { + "output_guardrails": [guardrail1, guardrail2], + "guardrails_settings": {"debounce_text_length": 5} + } + + session = RealtimeSession(mock_model, mock_agent, None, run_config=run_config) + + await session.on_event(RealtimeModelTranscriptDeltaEvent( + item_id="item_1", delta="trigger", response_id="resp_1" + )) + + # Should have interrupted and sent message with both guardrail names + assert mock_model.interrupts_called == 1 + assert len(mock_model.sent_messages) == 1 + message = mock_model.sent_messages[0] + assert "guardrail_1" in message and "guardrail_2" in message + + # Should have emitted event with both guardrail results + events = [] + while not session._event_queue.empty(): + events.append(await session._event_queue.get()) + + guardrail_events = [e for e in events if isinstance(e, RealtimeGuardrailTripped)] + assert len(guardrail_events) == 1 + assert len(guardrail_events[0].guardrail_results) == 2 From 57a1575474a34b8f337b93ae458cbfaec71e2c40 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 22:05:19 -0400 Subject: [PATCH 203/337] Realtime guardrail support --- src/agents/realtime/config.py | 19 +++- src/agents/realtime/events.py | 17 ++- src/agents/realtime/runner.py | 1 + src/agents/realtime/session.py | 90 +++++++++++++-- tests/realtime/test_session.py | 194 +++++++++++++++++++++++++++++++++ 5 files changed, 312 insertions(+), 9 deletions(-) diff --git a/src/agents/realtime/config.py b/src/agents/realtime/config.py index 459a03a9a..ad98c9c7a 100644 --- a/src/agents/realtime/config.py +++ b/src/agents/realtime/config.py @@ -8,6 +8,7 @@ from typing_extensions import NotRequired, TypeAlias, TypedDict +from ..guardrail import OutputGuardrail from ..model_settings import ToolChoice from ..tool import Tool @@ -83,10 +84,26 @@ class RealtimeSessionModelSettings(TypedDict): tools: NotRequired[list[Tool]] +class RealtimeGuardrailsSettings(TypedDict): + """Settings for output guardrails in realtime sessions.""" + + debounce_text_length: NotRequired[int] + """ + The minimum number of characters to accumulate before running guardrails on transcript + deltas. Defaults to 100. Guardrails run every time the accumulated text reaches + 1x, 2x, 3x, etc. times this threshold. + """ + + class RealtimeRunConfig(TypedDict): model_settings: NotRequired[RealtimeSessionModelSettings] + output_guardrails: NotRequired[list[OutputGuardrail[Any]]] + """List of output guardrails to run on the agent's responses.""" + + guardrails_settings: NotRequired[RealtimeGuardrailsSettings] + """Settings for guardrail execution.""" + # TODO (rm) Add tracing support # tracing: NotRequired[RealtimeTracingConfig | None] - # TODO (rm) Add guardrail support # TODO (rm) Add history audio storage config diff --git a/src/agents/realtime/events.py b/src/agents/realtime/events.py index 44a588f03..e1b3cfea3 100644 --- a/src/agents/realtime/events.py +++ b/src/agents/realtime/events.py @@ -5,6 +5,7 @@ from typing_extensions import TypeAlias +from ..guardrail import OutputGuardrailResult from ..run_context import RunContextWrapper from ..tool import Tool from .agent import RealtimeAgent @@ -181,7 +182,20 @@ class RealtimeHistoryAdded: type: Literal["history_added"] = "history_added" -# TODO (rm) Add guardrails +@dataclass +class RealtimeGuardrailTripped: + """A guardrail has been tripped and the agent has been interrupted.""" + + guardrail_results: list[OutputGuardrailResult] + """The results from all triggered guardrails.""" + + message: str + """The message that was being generated when the guardrail was triggered.""" + + info: RealtimeEventInfo + """Common info for all events, such as the context.""" + + type: Literal["guardrail_tripped"] = "guardrail_tripped" RealtimeSessionEvent: TypeAlias = Union[ RealtimeAgentStartEvent, @@ -196,5 +210,6 @@ class RealtimeHistoryAdded: RealtimeError, RealtimeHistoryUpdated, RealtimeHistoryAdded, + RealtimeGuardrailTripped, ] """An event emitted by the realtime session.""" diff --git a/src/agents/realtime/runner.py b/src/agents/realtime/runner.py index 4470ab220..369267797 100644 --- a/src/agents/realtime/runner.py +++ b/src/agents/realtime/runner.py @@ -82,6 +82,7 @@ async def run( agent=self._starting_agent, context=context, model_config=model_config, + run_config=self._config, ) return session diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index df80c063f..0ca3bf7af 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -2,16 +2,17 @@ import asyncio from collections.abc import AsyncIterator -from typing import Any +from typing import Any, cast from typing_extensions import assert_never +from ..agent import Agent from ..handoffs import Handoff from ..run_context import RunContextWrapper, TContext from ..tool import FunctionTool from ..tool_context import ToolContext from .agent import RealtimeAgent -from .config import RealtimeUserInput +from .config import RealtimeRunConfig, RealtimeUserInput from .events import ( RealtimeAgentEndEvent, RealtimeAgentStartEvent, @@ -20,6 +21,7 @@ RealtimeAudioInterrupted, RealtimeError, RealtimeEventInfo, + RealtimeGuardrailTripped, RealtimeHistoryAdded, RealtimeHistoryUpdated, RealtimeRawModelEvent, @@ -62,16 +64,16 @@ def __init__( agent: RealtimeAgent, context: TContext | None, model_config: RealtimeModelConfig | None = None, + run_config: RealtimeRunConfig | None = None, ) -> None: """Initialize the session. Args: model: The model to use. agent: The current agent. - context_wrapper: The context wrapper. - event_info: Event info object. - history: The conversation history. + context: The context object. model_config: Model configuration. + run_config: Runtime configuration including guardrails. """ self._model = model self._current_agent = agent @@ -79,9 +81,18 @@ def __init__( self._event_info = RealtimeEventInfo(context=self._context_wrapper) self._history: list[RealtimeItem] = [] self._model_config = model_config or {} + self._run_config = run_config or {} self._event_queue: asyncio.Queue[RealtimeSessionEvent] = asyncio.Queue() self._closed = False + # Guardrails state tracking + self._interrupted_by_guardrail = False + self._item_transcripts: dict[str, str] = {} # item_id -> accumulated transcript + self._item_guardrail_run_counts: dict[str, int] = {} # item_id -> run count + self._debounce_text_length = self._run_config.get("guardrails_settings", {}).get( + "debounce_text_length", 100 + ) + async def __aenter__(self) -> RealtimeSession: """Start the session by connecting to the model. After this, you will be able to stream events from the model and send messages and audio to the model. @@ -159,8 +170,22 @@ async def on_event(self, event: RealtimeModelEvent) -> None: RealtimeHistoryUpdated(info=self._event_info, history=self._history) ) elif event.type == "transcript_delta": - # TODO (rm) Add guardrails - pass + # Accumulate transcript text for guardrail debouncing per item_id + item_id = event.item_id + if item_id not in self._item_transcripts: + self._item_transcripts[item_id] = "" + self._item_guardrail_run_counts[item_id] = 0 + + self._item_transcripts[item_id] += event.delta + + # Check if we should run guardrails based on debounce threshold + current_length = len(self._item_transcripts[item_id]) + threshold = self._debounce_text_length + next_run_threshold = (self._item_guardrail_run_counts[item_id] + 1) * threshold + + if current_length >= next_run_threshold: + self._item_guardrail_run_counts[item_id] += 1 + await self._run_output_guardrails(self._item_transcripts[item_id]) elif event.type == "item_updated": is_new = not any(item.item_id == event.item.item_id for item in self._history) self._history = self._get_new_history(self._history, event.item) @@ -189,6 +214,11 @@ async def on_event(self, event: RealtimeModelEvent) -> None: ) ) elif event.type == "turn_ended": + # Clear guardrail state for next turn + self._item_transcripts.clear() + self._item_guardrail_run_counts.clear() + self._interrupted_by_guardrail = False + await self._put_event( RealtimeAgentEndEvent( agent=self._current_agent, @@ -290,3 +320,49 @@ def _get_new_history( # Otherwise, add it to the end return old_history + [event] + + async def _run_output_guardrails(self, text: str) -> bool: + """Run output guardrails on the given text. Returns True if any guardrail was triggered.""" + output_guardrails = self._run_config.get("output_guardrails", []) + if not output_guardrails or self._interrupted_by_guardrail: + return False + + triggered_results = [] + + for guardrail in output_guardrails: + try: + result = await guardrail.run( + # TODO (rm) Remove this cast, it's wrong + self._context_wrapper, + cast(Agent[Any], self._current_agent), + text, + ) + if result.output.tripwire_triggered: + triggered_results.append(result) + except Exception: + # Continue with other guardrails if one fails + continue + + if triggered_results: + # Mark as interrupted to prevent multiple interrupts + self._interrupted_by_guardrail = True + + # Emit guardrail tripped event + await self._put_event( + RealtimeGuardrailTripped( + guardrail_results=triggered_results, + message=text, + info=self._event_info, + ) + ) + + # Interrupt the model + await self._model.interrupt() + + # Send guardrail triggered message + guardrail_names = [result.guardrail.get_name() for result in triggered_results] + await self._model.send_message(f"guardrail triggered: {', '.join(guardrail_names)}") + + return True + + return False diff --git a/tests/realtime/test_session.py b/tests/realtime/test_session.py index f0abd4502..6003f9443 100644 --- a/tests/realtime/test_session.py +++ b/tests/realtime/test_session.py @@ -3,8 +3,10 @@ import pytest +from agents.guardrail import GuardrailFunctionOutput, OutputGuardrail from agents.handoffs import Handoff from agents.realtime.agent import RealtimeAgent +from agents.realtime.config import RealtimeRunConfig from agents.realtime.events import ( RealtimeAgentEndEvent, RealtimeAgentStartEvent, @@ -12,6 +14,7 @@ RealtimeAudioEnd, RealtimeAudioInterrupted, RealtimeError, + RealtimeGuardrailTripped, RealtimeHistoryAdded, RealtimeHistoryUpdated, RealtimeRawModelEvent, @@ -963,3 +966,194 @@ async def test_mixed_tool_types_filtering(self, mock_model, mock_agent): # Verify result sent_call, sent_output, _ = mock_model.sent_tool_outputs[0] assert sent_output == "result2" + + +class TestGuardrailFunctionality: + """Test suite for output guardrail functionality in RealtimeSession""" + + @pytest.fixture + def triggered_guardrail(self): + """Creates a guardrail that always triggers""" + def guardrail_func(context, agent, output): + return GuardrailFunctionOutput( + output_info={"reason": "test trigger"}, + tripwire_triggered=True + ) + return OutputGuardrail(guardrail_function=guardrail_func, name="triggered_guardrail") + + @pytest.fixture + def safe_guardrail(self): + """Creates a guardrail that never triggers""" + def guardrail_func(context, agent, output): + return GuardrailFunctionOutput( + output_info={"reason": "safe content"}, + tripwire_triggered=False + ) + return OutputGuardrail(guardrail_function=guardrail_func, name="safe_guardrail") + + @pytest.mark.asyncio + async def test_transcript_delta_triggers_guardrail_at_threshold( + self, mock_model, mock_agent, triggered_guardrail + ): + """Test that guardrails run when transcript delta reaches debounce threshold""" + run_config: RealtimeRunConfig = { + "output_guardrails": [triggered_guardrail], + "guardrails_settings": {"debounce_text_length": 10} + } + + session = RealtimeSession(mock_model, mock_agent, None, run_config=run_config) + + # Send transcript delta that exceeds threshold (10 chars) + transcript_event = RealtimeModelTranscriptDeltaEvent( + item_id="item_1", delta="this is more than ten characters", response_id="resp_1" + ) + + await session.on_event(transcript_event) + + # Should have triggered guardrail and interrupted + assert session._interrupted_by_guardrail is True + assert mock_model.interrupts_called == 1 + assert len(mock_model.sent_messages) == 1 + assert "triggered_guardrail" in mock_model.sent_messages[0] + + # Should have emitted guardrail_tripped event + events = [] + while not session._event_queue.empty(): + events.append(await session._event_queue.get()) + + guardrail_events = [e for e in events if isinstance(e, RealtimeGuardrailTripped)] + assert len(guardrail_events) == 1 + assert guardrail_events[0].message == "this is more than ten characters" + + @pytest.mark.asyncio + async def test_transcript_delta_multiple_thresholds_same_item( + self, mock_model, mock_agent, triggered_guardrail + ): + """Test guardrails run at 1x, 2x, 3x thresholds for same item_id""" + run_config: RealtimeRunConfig = { + "output_guardrails": [triggered_guardrail], + "guardrails_settings": {"debounce_text_length": 5} + } + + session = RealtimeSession(mock_model, mock_agent, None, run_config=run_config) + + # First delta - reaches 1x threshold (5 chars) + await session.on_event(RealtimeModelTranscriptDeltaEvent( + item_id="item_1", delta="12345", response_id="resp_1" + )) + + # Second delta - reaches 2x threshold (10 chars total) + await session.on_event(RealtimeModelTranscriptDeltaEvent( + item_id="item_1", delta="67890", response_id="resp_1" + )) + + # Should only trigger once due to interrupted_by_guardrail flag + assert mock_model.interrupts_called == 1 + assert len(mock_model.sent_messages) == 1 + + @pytest.mark.asyncio + async def test_transcript_delta_different_items_tracked_separately( + self, mock_model, mock_agent, safe_guardrail + ): + """Test that different item_ids are tracked separately for debouncing""" + run_config: RealtimeRunConfig = { + "output_guardrails": [safe_guardrail], + "guardrails_settings": {"debounce_text_length": 10} + } + + session = RealtimeSession(mock_model, mock_agent, None, run_config=run_config) + + # Add text to item_1 (8 chars - below threshold) + await session.on_event(RealtimeModelTranscriptDeltaEvent( + item_id="item_1", delta="12345678", response_id="resp_1" + )) + + # Add text to item_2 (8 chars - below threshold) + await session.on_event(RealtimeModelTranscriptDeltaEvent( + item_id="item_2", delta="abcdefgh", response_id="resp_2" + )) + + # Neither should trigger guardrails yet + assert mock_model.interrupts_called == 0 + + # Add more text to item_1 (total 12 chars - above threshold) + await session.on_event(RealtimeModelTranscriptDeltaEvent( + item_id="item_1", delta="90ab", response_id="resp_1" + )) + + # item_1 should have triggered guardrail run (but not interrupted since safe) + assert session._item_guardrail_run_counts["item_1"] == 1 + assert ( + "item_2" not in session._item_guardrail_run_counts + or session._item_guardrail_run_counts["item_2"] == 0 + ) + + @pytest.mark.asyncio + async def test_turn_ended_clears_guardrail_state( + self, mock_model, mock_agent, triggered_guardrail + ): + """Test that turn_ended event clears guardrail state for next turn""" + run_config: RealtimeRunConfig = { + "output_guardrails": [triggered_guardrail], + "guardrails_settings": {"debounce_text_length": 5} + } + + session = RealtimeSession(mock_model, mock_agent, None, run_config=run_config) + + # Trigger guardrail + await session.on_event(RealtimeModelTranscriptDeltaEvent( + item_id="item_1", delta="trigger", response_id="resp_1" + )) + + assert session._interrupted_by_guardrail is True + assert len(session._item_transcripts) == 1 + + # End turn + await session.on_event(RealtimeModelTurnEndedEvent()) + + # State should be cleared + assert session._interrupted_by_guardrail is False + assert len(session._item_transcripts) == 0 + assert len(session._item_guardrail_run_counts) == 0 + + @pytest.mark.asyncio + async def test_multiple_guardrails_all_triggered( + self, mock_model, mock_agent + ): + """Test that all triggered guardrails are included in the event""" + def create_triggered_guardrail(name): + def guardrail_func(context, agent, output): + return GuardrailFunctionOutput( + output_info={"name": name}, + tripwire_triggered=True + ) + return OutputGuardrail(guardrail_function=guardrail_func, name=name) + + guardrail1 = create_triggered_guardrail("guardrail_1") + guardrail2 = create_triggered_guardrail("guardrail_2") + + run_config: RealtimeRunConfig = { + "output_guardrails": [guardrail1, guardrail2], + "guardrails_settings": {"debounce_text_length": 5} + } + + session = RealtimeSession(mock_model, mock_agent, None, run_config=run_config) + + await session.on_event(RealtimeModelTranscriptDeltaEvent( + item_id="item_1", delta="trigger", response_id="resp_1" + )) + + # Should have interrupted and sent message with both guardrail names + assert mock_model.interrupts_called == 1 + assert len(mock_model.sent_messages) == 1 + message = mock_model.sent_messages[0] + assert "guardrail_1" in message and "guardrail_2" in message + + # Should have emitted event with both guardrail results + events = [] + while not session._event_queue.empty(): + events.append(await session._event_queue.get()) + + guardrail_events = [e for e in events if isinstance(e, RealtimeGuardrailTripped)] + assert len(guardrail_events) == 1 + assert len(guardrail_events[0].guardrail_results) == 2 From 5d4c0caccaff280290920d9b3c48f64d0e2244b0 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Fri, 11 Jul 2025 22:56:25 -0400 Subject: [PATCH 204/337] Realtime tracing --- src/agents/realtime/config.py | 20 +- src/agents/realtime/model.py | 1 + src/agents/realtime/openai_realtime.py | 21 +- src/agents/realtime/runner.py | 5 + tests/realtime/test_tracing.py | 257 +++++++++++++++++++++++++ 5 files changed, 299 insertions(+), 5 deletions(-) create mode 100644 tests/realtime/test_tracing.py diff --git a/src/agents/realtime/config.py b/src/agents/realtime/config.py index ad98c9c7a..ece72e755 100644 --- a/src/agents/realtime/config.py +++ b/src/agents/realtime/config.py @@ -83,6 +83,8 @@ class RealtimeSessionModelSettings(TypedDict): tool_choice: NotRequired[ToolChoice] tools: NotRequired[list[Tool]] + tracing: NotRequired[RealtimeModelTracingConfig | None] + class RealtimeGuardrailsSettings(TypedDict): """Settings for output guardrails in realtime sessions.""" @@ -95,6 +97,19 @@ class RealtimeGuardrailsSettings(TypedDict): """ +class RealtimeModelTracingConfig(TypedDict): + """Configuration for tracing in realtime model sessions.""" + + workflow_name: NotRequired[str] + """The workflow name to use for tracing.""" + + group_id: NotRequired[str] + """A group identifier to use for tracing, to link multiple traces together.""" + + metadata: NotRequired[dict[str, Any]] + """Additional metadata to include with the trace.""" + + class RealtimeRunConfig(TypedDict): model_settings: NotRequired[RealtimeSessionModelSettings] @@ -104,6 +119,7 @@ class RealtimeRunConfig(TypedDict): guardrails_settings: NotRequired[RealtimeGuardrailsSettings] """Settings for guardrail execution.""" - # TODO (rm) Add tracing support - # tracing: NotRequired[RealtimeTracingConfig | None] + tracing_disabled: NotRequired[bool] + """Whether tracing is disabled for this run.""" + # TODO (rm) Add history audio storage config diff --git a/src/agents/realtime/model.py b/src/agents/realtime/model.py index 2b41960e7..abb3a1eac 100644 --- a/src/agents/realtime/model.py +++ b/src/agents/realtime/model.py @@ -38,6 +38,7 @@ class RealtimeModelConfig(TypedDict): """ initial_model_settings: NotRequired[RealtimeSessionModelSettings] + """The initial model settings to use when connecting.""" class RealtimeModel(abc.ABC): diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index de8f57ac7..797753242 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -6,7 +6,7 @@ import json import os from datetime import datetime -from typing import Any, Callable +from typing import Any, Callable, Literal import websockets from openai.types.beta.realtime.conversation_item import ConversationItem @@ -23,6 +23,7 @@ from ..logger import logger from .config import ( RealtimeClientMessage, + RealtimeModelTracingConfig, RealtimeSessionModelSettings, RealtimeUserInput, ) @@ -73,6 +74,7 @@ def __init__(self) -> None: self._audio_length_ms: float = 0.0 self._ongoing_response: bool = False self._current_audio_content_index: int | None = None + self._tracing_config: RealtimeModelTracingConfig | Literal["auto"] | None = None async def connect(self, options: RealtimeModelConfig) -> None: """Establish a connection to the model and keep it alive.""" @@ -84,6 +86,11 @@ async def connect(self, options: RealtimeModelConfig) -> None: self.model = model_settings.get("model_name", self.model) api_key = await get_api_key(options.get("api_key")) + if "tracing" in model_settings: + self._tracing_config = model_settings["tracing"] + else: + self._tracing_config = "auto" + if not api_key: raise UserError("API key is required but was not provided.") @@ -96,6 +103,15 @@ async def connect(self, options: RealtimeModelConfig) -> None: self._websocket = await websockets.connect(url, additional_headers=headers) self._websocket_task = asyncio.create_task(self._listen_for_messages()) + async def _send_tracing_config( + self, tracing_config: RealtimeModelTracingConfig | Literal["auto"] | None + ) -> None: + """Update tracing configuration via session.update event.""" + if tracing_config is not None: + await self.send_event( + {"type": "session.update", "other_data": {"session": {"tracing": tracing_config}}} + ) + def add_listener(self, listener: RealtimeModelListener) -> None: """Add a listener to the model.""" self._listeners.append(listener) @@ -343,8 +359,7 @@ async def _handle_ws_event(self, event: dict[str, Any]): self._ongoing_response = False await self._emit_event(RealtimeModelTurnEndedEvent()) elif parsed.type == "session.created": - # TODO (rm) tracing stuff here - pass + await self._send_tracing_config(self._tracing_config) elif parsed.type == "error": await self._emit_event(RealtimeModelErrorEvent(error=parsed.error)) elif parsed.type == "conversation.item.deleted": diff --git a/src/agents/realtime/runner.py b/src/agents/realtime/runner.py index 369267797..a7047a6f5 100644 --- a/src/agents/realtime/runner.py +++ b/src/agents/realtime/runner.py @@ -69,6 +69,7 @@ async def run( """ model_settings = await self._get_model_settings( agent=self._starting_agent, + disable_tracing=self._config.get("tracing_disabled", False) if self._config else False, initial_settings=model_config.get("initial_model_settings") if model_config else None, overrides=self._config.get("model_settings") if self._config else None, ) @@ -90,6 +91,7 @@ async def run( async def _get_model_settings( self, agent: RealtimeAgent, + disable_tracing: bool, context: TContext | None = None, initial_settings: RealtimeSessionModelSettings | None = None, overrides: RealtimeSessionModelSettings | None = None, @@ -110,4 +112,7 @@ async def _get_model_settings( if overrides: model_settings.update(overrides) + if disable_tracing: + model_settings["tracing"] = None + return model_settings diff --git a/tests/realtime/test_tracing.py b/tests/realtime/test_tracing.py new file mode 100644 index 000000000..456ae125f --- /dev/null +++ b/tests/realtime/test_tracing.py @@ -0,0 +1,257 @@ +from unittest.mock import AsyncMock, patch + +import pytest + +from agents.realtime.openai_realtime import OpenAIRealtimeWebSocketModel + + +class TestRealtimeTracingIntegration: + """Test tracing configuration and session.update integration.""" + + @pytest.fixture + def model(self): + """Create a fresh model instance for each test.""" + return OpenAIRealtimeWebSocketModel() + + @pytest.fixture + def mock_websocket(self): + """Create a mock websocket connection.""" + mock_ws = AsyncMock() + mock_ws.send = AsyncMock() + mock_ws.close = AsyncMock() + return mock_ws + + @pytest.mark.asyncio + async def test_tracing_config_storage_and_defaults(self, model, mock_websocket): + """Test that tracing config is stored correctly and defaults to 'auto'.""" + # Test with explicit tracing config + config_with_tracing = { + "api_key": "test-key", + "initial_model_settings": { + "tracing": { + "workflow_name": "test_workflow", + "group_id": "group_123", + "metadata": {"version": "1.0"}, + } + }, + } + + async def async_websocket(*args, **kwargs): + return mock_websocket + + with patch("websockets.connect", side_effect=async_websocket): + with patch("asyncio.create_task") as mock_create_task: + mock_task = AsyncMock() + mock_create_task.return_value = mock_task + mock_create_task.side_effect = lambda coro: (coro.close(), mock_task)[1] + + await model.connect(config_with_tracing) + + # Should store the tracing config + assert model._tracing_config == { + "workflow_name": "test_workflow", + "group_id": "group_123", + "metadata": {"version": "1.0"}, + } + + # Test without tracing config - should default to "auto" + model2 = OpenAIRealtimeWebSocketModel() + config_no_tracing = { + "api_key": "test-key", + "initial_model_settings": {}, + } + + with patch("websockets.connect", side_effect=async_websocket): + with patch("asyncio.create_task") as mock_create_task: + mock_create_task.side_effect = lambda coro: (coro.close(), mock_task)[1] + + await model2.connect(config_no_tracing) # type: ignore[arg-type] + assert model2._tracing_config == "auto" + + @pytest.mark.asyncio + async def test_send_tracing_config_on_session_created(self, model, mock_websocket): + """Test that tracing config is sent when session.created event is received.""" + config = { + "api_key": "test-key", + "initial_model_settings": { + "tracing": {"workflow_name": "test_workflow", "group_id": "group_123"} + }, + } + + async def async_websocket(*args, **kwargs): + return mock_websocket + + with patch("websockets.connect", side_effect=async_websocket): + with patch("asyncio.create_task") as mock_create_task: + mock_task = AsyncMock() + mock_create_task.side_effect = lambda coro: (coro.close(), mock_task)[1] + + await model.connect(config) + + # Simulate session.created event + session_created_event = { + "type": "session.created", + "event_id": "event_123", + "session": {"id": "session_456"}, + } + + with patch.object(model, "send_event") as mock_send_event: + await model._handle_ws_event(session_created_event) + + # Should send session.update with tracing config + mock_send_event.assert_called_once_with( + { + "type": "session.update", + "other_data": { + "session": { + "tracing": { + "workflow_name": "test_workflow", + "group_id": "group_123", + } + } + }, + } + ) + + @pytest.mark.asyncio + async def test_send_tracing_config_auto_mode(self, model, mock_websocket): + """Test that 'auto' tracing config is sent correctly.""" + config = { + "api_key": "test-key", + "initial_model_settings": {}, # No tracing config - defaults to "auto" + } + + async def async_websocket(*args, **kwargs): + return mock_websocket + + with patch("websockets.connect", side_effect=async_websocket): + with patch("asyncio.create_task") as mock_create_task: + mock_task = AsyncMock() + mock_create_task.side_effect = lambda coro: (coro.close(), mock_task)[1] + + await model.connect(config) + + session_created_event = { + "type": "session.created", + "event_id": "event_123", + "session": {"id": "session_456"}, + } + + with patch.object(model, "send_event") as mock_send_event: + await model._handle_ws_event(session_created_event) + + # Should send session.update with "auto" + mock_send_event.assert_called_once_with( + {"type": "session.update", "other_data": {"session": {"tracing": "auto"}}} + ) + + @pytest.mark.asyncio + async def test_tracing_config_none_skips_session_update(self, model, mock_websocket): + """Test that None tracing config skips sending session.update.""" + # Manually set tracing config to None (this would happen if explicitly set) + model._tracing_config = None + + session_created_event = { + "type": "session.created", + "event_id": "event_123", + "session": {"id": "session_456"}, + } + + with patch.object(model, "send_event") as mock_send_event: + await model._handle_ws_event(session_created_event) + + # Should not send any session.update + mock_send_event.assert_not_called() + + @pytest.mark.asyncio + async def test_tracing_config_with_metadata_serialization(self, model, mock_websocket): + """Test that complex metadata in tracing config is handled correctly.""" + complex_metadata = { + "user_id": "user_123", + "session_type": "demo", + "features": ["audio", "tools"], + "config": {"timeout": 30, "retries": 3}, + } + + config = { + "api_key": "test-key", + "initial_model_settings": { + "tracing": {"workflow_name": "complex_workflow", "metadata": complex_metadata} + }, + } + + async def async_websocket(*args, **kwargs): + return mock_websocket + + with patch("websockets.connect", side_effect=async_websocket): + with patch("asyncio.create_task") as mock_create_task: + mock_task = AsyncMock() + mock_create_task.side_effect = lambda coro: (coro.close(), mock_task)[1] + + await model.connect(config) + + session_created_event = { + "type": "session.created", + "event_id": "event_123", + "session": {"id": "session_456"}, + } + + with patch.object(model, "send_event") as mock_send_event: + await model._handle_ws_event(session_created_event) + + # Should send session.update with complete tracing config including metadata + expected_call = { + "type": "session.update", + "other_data": { + "session": { + "tracing": { + "workflow_name": "complex_workflow", + "metadata": complex_metadata, + } + } + }, + } + mock_send_event.assert_called_once_with(expected_call) + + @pytest.mark.asyncio + async def test_tracing_disabled_prevents_tracing(self, mock_websocket): + """Test that tracing_disabled=True prevents tracing configuration.""" + from agents.realtime.agent import RealtimeAgent + from agents.realtime.runner import RealtimeRunner + + # Create a test agent and runner with tracing disabled + agent = RealtimeAgent(name="test_agent", instructions="test") + + runner = RealtimeRunner( + starting_agent=agent, + config={"tracing_disabled": True} + ) + + # Test the _get_model_settings method directly since that's where the logic is + model_settings = await runner._get_model_settings( + agent=agent, + disable_tracing=True, # This should come from config["tracing_disabled"] + initial_settings=None, + overrides=None + ) + + # When tracing is disabled, model settings should have tracing=None + assert model_settings["tracing"] is None + + # Also test that the runner passes disable_tracing=True correctly + with patch.object(runner, '_get_model_settings') as mock_get_settings: + mock_get_settings.return_value = {"tracing": None} + + with patch('agents.realtime.session.RealtimeSession') as mock_session_class: + mock_session = AsyncMock() + mock_session_class.return_value = mock_session + + await runner.run() + + # Verify that _get_model_settings was called with disable_tracing=True + mock_get_settings.assert_called_once_with( + agent=agent, + disable_tracing=True, + initial_settings=None, + overrides=None + ) From 7c9a92312b9c61f4731ec4b8cce06deab269b296 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Sat, 12 Jul 2025 13:08:47 -0400 Subject: [PATCH 205/337] Realtime tracing --- src/agents/realtime/config.py | 20 +- src/agents/realtime/model.py | 1 + src/agents/realtime/openai_realtime.py | 21 +- src/agents/realtime/runner.py | 5 + tests/realtime/test_tracing.py | 257 +++++++++++++++++++++++++ 5 files changed, 299 insertions(+), 5 deletions(-) create mode 100644 tests/realtime/test_tracing.py diff --git a/src/agents/realtime/config.py b/src/agents/realtime/config.py index ad98c9c7a..ece72e755 100644 --- a/src/agents/realtime/config.py +++ b/src/agents/realtime/config.py @@ -83,6 +83,8 @@ class RealtimeSessionModelSettings(TypedDict): tool_choice: NotRequired[ToolChoice] tools: NotRequired[list[Tool]] + tracing: NotRequired[RealtimeModelTracingConfig | None] + class RealtimeGuardrailsSettings(TypedDict): """Settings for output guardrails in realtime sessions.""" @@ -95,6 +97,19 @@ class RealtimeGuardrailsSettings(TypedDict): """ +class RealtimeModelTracingConfig(TypedDict): + """Configuration for tracing in realtime model sessions.""" + + workflow_name: NotRequired[str] + """The workflow name to use for tracing.""" + + group_id: NotRequired[str] + """A group identifier to use for tracing, to link multiple traces together.""" + + metadata: NotRequired[dict[str, Any]] + """Additional metadata to include with the trace.""" + + class RealtimeRunConfig(TypedDict): model_settings: NotRequired[RealtimeSessionModelSettings] @@ -104,6 +119,7 @@ class RealtimeRunConfig(TypedDict): guardrails_settings: NotRequired[RealtimeGuardrailsSettings] """Settings for guardrail execution.""" - # TODO (rm) Add tracing support - # tracing: NotRequired[RealtimeTracingConfig | None] + tracing_disabled: NotRequired[bool] + """Whether tracing is disabled for this run.""" + # TODO (rm) Add history audio storage config diff --git a/src/agents/realtime/model.py b/src/agents/realtime/model.py index 2b41960e7..abb3a1eac 100644 --- a/src/agents/realtime/model.py +++ b/src/agents/realtime/model.py @@ -38,6 +38,7 @@ class RealtimeModelConfig(TypedDict): """ initial_model_settings: NotRequired[RealtimeSessionModelSettings] + """The initial model settings to use when connecting.""" class RealtimeModel(abc.ABC): diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index de8f57ac7..797753242 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -6,7 +6,7 @@ import json import os from datetime import datetime -from typing import Any, Callable +from typing import Any, Callable, Literal import websockets from openai.types.beta.realtime.conversation_item import ConversationItem @@ -23,6 +23,7 @@ from ..logger import logger from .config import ( RealtimeClientMessage, + RealtimeModelTracingConfig, RealtimeSessionModelSettings, RealtimeUserInput, ) @@ -73,6 +74,7 @@ def __init__(self) -> None: self._audio_length_ms: float = 0.0 self._ongoing_response: bool = False self._current_audio_content_index: int | None = None + self._tracing_config: RealtimeModelTracingConfig | Literal["auto"] | None = None async def connect(self, options: RealtimeModelConfig) -> None: """Establish a connection to the model and keep it alive.""" @@ -84,6 +86,11 @@ async def connect(self, options: RealtimeModelConfig) -> None: self.model = model_settings.get("model_name", self.model) api_key = await get_api_key(options.get("api_key")) + if "tracing" in model_settings: + self._tracing_config = model_settings["tracing"] + else: + self._tracing_config = "auto" + if not api_key: raise UserError("API key is required but was not provided.") @@ -96,6 +103,15 @@ async def connect(self, options: RealtimeModelConfig) -> None: self._websocket = await websockets.connect(url, additional_headers=headers) self._websocket_task = asyncio.create_task(self._listen_for_messages()) + async def _send_tracing_config( + self, tracing_config: RealtimeModelTracingConfig | Literal["auto"] | None + ) -> None: + """Update tracing configuration via session.update event.""" + if tracing_config is not None: + await self.send_event( + {"type": "session.update", "other_data": {"session": {"tracing": tracing_config}}} + ) + def add_listener(self, listener: RealtimeModelListener) -> None: """Add a listener to the model.""" self._listeners.append(listener) @@ -343,8 +359,7 @@ async def _handle_ws_event(self, event: dict[str, Any]): self._ongoing_response = False await self._emit_event(RealtimeModelTurnEndedEvent()) elif parsed.type == "session.created": - # TODO (rm) tracing stuff here - pass + await self._send_tracing_config(self._tracing_config) elif parsed.type == "error": await self._emit_event(RealtimeModelErrorEvent(error=parsed.error)) elif parsed.type == "conversation.item.deleted": diff --git a/src/agents/realtime/runner.py b/src/agents/realtime/runner.py index 369267797..a7047a6f5 100644 --- a/src/agents/realtime/runner.py +++ b/src/agents/realtime/runner.py @@ -69,6 +69,7 @@ async def run( """ model_settings = await self._get_model_settings( agent=self._starting_agent, + disable_tracing=self._config.get("tracing_disabled", False) if self._config else False, initial_settings=model_config.get("initial_model_settings") if model_config else None, overrides=self._config.get("model_settings") if self._config else None, ) @@ -90,6 +91,7 @@ async def run( async def _get_model_settings( self, agent: RealtimeAgent, + disable_tracing: bool, context: TContext | None = None, initial_settings: RealtimeSessionModelSettings | None = None, overrides: RealtimeSessionModelSettings | None = None, @@ -110,4 +112,7 @@ async def _get_model_settings( if overrides: model_settings.update(overrides) + if disable_tracing: + model_settings["tracing"] = None + return model_settings diff --git a/tests/realtime/test_tracing.py b/tests/realtime/test_tracing.py new file mode 100644 index 000000000..456ae125f --- /dev/null +++ b/tests/realtime/test_tracing.py @@ -0,0 +1,257 @@ +from unittest.mock import AsyncMock, patch + +import pytest + +from agents.realtime.openai_realtime import OpenAIRealtimeWebSocketModel + + +class TestRealtimeTracingIntegration: + """Test tracing configuration and session.update integration.""" + + @pytest.fixture + def model(self): + """Create a fresh model instance for each test.""" + return OpenAIRealtimeWebSocketModel() + + @pytest.fixture + def mock_websocket(self): + """Create a mock websocket connection.""" + mock_ws = AsyncMock() + mock_ws.send = AsyncMock() + mock_ws.close = AsyncMock() + return mock_ws + + @pytest.mark.asyncio + async def test_tracing_config_storage_and_defaults(self, model, mock_websocket): + """Test that tracing config is stored correctly and defaults to 'auto'.""" + # Test with explicit tracing config + config_with_tracing = { + "api_key": "test-key", + "initial_model_settings": { + "tracing": { + "workflow_name": "test_workflow", + "group_id": "group_123", + "metadata": {"version": "1.0"}, + } + }, + } + + async def async_websocket(*args, **kwargs): + return mock_websocket + + with patch("websockets.connect", side_effect=async_websocket): + with patch("asyncio.create_task") as mock_create_task: + mock_task = AsyncMock() + mock_create_task.return_value = mock_task + mock_create_task.side_effect = lambda coro: (coro.close(), mock_task)[1] + + await model.connect(config_with_tracing) + + # Should store the tracing config + assert model._tracing_config == { + "workflow_name": "test_workflow", + "group_id": "group_123", + "metadata": {"version": "1.0"}, + } + + # Test without tracing config - should default to "auto" + model2 = OpenAIRealtimeWebSocketModel() + config_no_tracing = { + "api_key": "test-key", + "initial_model_settings": {}, + } + + with patch("websockets.connect", side_effect=async_websocket): + with patch("asyncio.create_task") as mock_create_task: + mock_create_task.side_effect = lambda coro: (coro.close(), mock_task)[1] + + await model2.connect(config_no_tracing) # type: ignore[arg-type] + assert model2._tracing_config == "auto" + + @pytest.mark.asyncio + async def test_send_tracing_config_on_session_created(self, model, mock_websocket): + """Test that tracing config is sent when session.created event is received.""" + config = { + "api_key": "test-key", + "initial_model_settings": { + "tracing": {"workflow_name": "test_workflow", "group_id": "group_123"} + }, + } + + async def async_websocket(*args, **kwargs): + return mock_websocket + + with patch("websockets.connect", side_effect=async_websocket): + with patch("asyncio.create_task") as mock_create_task: + mock_task = AsyncMock() + mock_create_task.side_effect = lambda coro: (coro.close(), mock_task)[1] + + await model.connect(config) + + # Simulate session.created event + session_created_event = { + "type": "session.created", + "event_id": "event_123", + "session": {"id": "session_456"}, + } + + with patch.object(model, "send_event") as mock_send_event: + await model._handle_ws_event(session_created_event) + + # Should send session.update with tracing config + mock_send_event.assert_called_once_with( + { + "type": "session.update", + "other_data": { + "session": { + "tracing": { + "workflow_name": "test_workflow", + "group_id": "group_123", + } + } + }, + } + ) + + @pytest.mark.asyncio + async def test_send_tracing_config_auto_mode(self, model, mock_websocket): + """Test that 'auto' tracing config is sent correctly.""" + config = { + "api_key": "test-key", + "initial_model_settings": {}, # No tracing config - defaults to "auto" + } + + async def async_websocket(*args, **kwargs): + return mock_websocket + + with patch("websockets.connect", side_effect=async_websocket): + with patch("asyncio.create_task") as mock_create_task: + mock_task = AsyncMock() + mock_create_task.side_effect = lambda coro: (coro.close(), mock_task)[1] + + await model.connect(config) + + session_created_event = { + "type": "session.created", + "event_id": "event_123", + "session": {"id": "session_456"}, + } + + with patch.object(model, "send_event") as mock_send_event: + await model._handle_ws_event(session_created_event) + + # Should send session.update with "auto" + mock_send_event.assert_called_once_with( + {"type": "session.update", "other_data": {"session": {"tracing": "auto"}}} + ) + + @pytest.mark.asyncio + async def test_tracing_config_none_skips_session_update(self, model, mock_websocket): + """Test that None tracing config skips sending session.update.""" + # Manually set tracing config to None (this would happen if explicitly set) + model._tracing_config = None + + session_created_event = { + "type": "session.created", + "event_id": "event_123", + "session": {"id": "session_456"}, + } + + with patch.object(model, "send_event") as mock_send_event: + await model._handle_ws_event(session_created_event) + + # Should not send any session.update + mock_send_event.assert_not_called() + + @pytest.mark.asyncio + async def test_tracing_config_with_metadata_serialization(self, model, mock_websocket): + """Test that complex metadata in tracing config is handled correctly.""" + complex_metadata = { + "user_id": "user_123", + "session_type": "demo", + "features": ["audio", "tools"], + "config": {"timeout": 30, "retries": 3}, + } + + config = { + "api_key": "test-key", + "initial_model_settings": { + "tracing": {"workflow_name": "complex_workflow", "metadata": complex_metadata} + }, + } + + async def async_websocket(*args, **kwargs): + return mock_websocket + + with patch("websockets.connect", side_effect=async_websocket): + with patch("asyncio.create_task") as mock_create_task: + mock_task = AsyncMock() + mock_create_task.side_effect = lambda coro: (coro.close(), mock_task)[1] + + await model.connect(config) + + session_created_event = { + "type": "session.created", + "event_id": "event_123", + "session": {"id": "session_456"}, + } + + with patch.object(model, "send_event") as mock_send_event: + await model._handle_ws_event(session_created_event) + + # Should send session.update with complete tracing config including metadata + expected_call = { + "type": "session.update", + "other_data": { + "session": { + "tracing": { + "workflow_name": "complex_workflow", + "metadata": complex_metadata, + } + } + }, + } + mock_send_event.assert_called_once_with(expected_call) + + @pytest.mark.asyncio + async def test_tracing_disabled_prevents_tracing(self, mock_websocket): + """Test that tracing_disabled=True prevents tracing configuration.""" + from agents.realtime.agent import RealtimeAgent + from agents.realtime.runner import RealtimeRunner + + # Create a test agent and runner with tracing disabled + agent = RealtimeAgent(name="test_agent", instructions="test") + + runner = RealtimeRunner( + starting_agent=agent, + config={"tracing_disabled": True} + ) + + # Test the _get_model_settings method directly since that's where the logic is + model_settings = await runner._get_model_settings( + agent=agent, + disable_tracing=True, # This should come from config["tracing_disabled"] + initial_settings=None, + overrides=None + ) + + # When tracing is disabled, model settings should have tracing=None + assert model_settings["tracing"] is None + + # Also test that the runner passes disable_tracing=True correctly + with patch.object(runner, '_get_model_settings') as mock_get_settings: + mock_get_settings.return_value = {"tracing": None} + + with patch('agents.realtime.session.RealtimeSession') as mock_session_class: + mock_session = AsyncMock() + mock_session_class.return_value = mock_session + + await runner.run() + + # Verify that _get_model_settings was called with disable_tracing=True + mock_get_settings.assert_called_once_with( + agent=agent, + disable_tracing=True, + initial_settings=None, + overrides=None + ) From b7b1bf7ea48d9217b0adea4be16e2c1f5ffb27c8 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 14 Jul 2025 11:55:04 -0400 Subject: [PATCH 206/337] Realtime: run guardrails without blockign event loop --- src/agents/realtime/events.py | 1 + src/agents/realtime/session.py | 39 +++++++++++++++++++++++++++++++++- tests/realtime/test_session.py | 18 ++++++++++++++++ 3 files changed, 57 insertions(+), 1 deletion(-) diff --git a/src/agents/realtime/events.py b/src/agents/realtime/events.py index e1b3cfea3..24444b66e 100644 --- a/src/agents/realtime/events.py +++ b/src/agents/realtime/events.py @@ -197,6 +197,7 @@ class RealtimeGuardrailTripped: type: Literal["guardrail_tripped"] = "guardrail_tripped" + RealtimeSessionEvent: TypeAlias = Union[ RealtimeAgentStartEvent, RealtimeAgentEndEvent, diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index 0ca3bf7af..8c909fd07 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -93,6 +93,8 @@ def __init__( "debounce_text_length", 100 ) + self._guardrail_tasks: set[asyncio.Task[Any]] = set() + async def __aenter__(self) -> RealtimeSession: """Start the session by connecting to the model. After this, you will be able to stream events from the model and send messages and audio to the model. @@ -136,6 +138,7 @@ async def __aiter__(self) -> AsyncIterator[RealtimeSessionEvent]: async def close(self) -> None: """Close the session.""" self._closed = True + self._cleanup_guardrail_tasks() self._model.remove_listener(self) await self._model.close() @@ -185,7 +188,7 @@ async def on_event(self, event: RealtimeModelEvent) -> None: if current_length >= next_run_threshold: self._item_guardrail_run_counts[item_id] += 1 - await self._run_output_guardrails(self._item_transcripts[item_id]) + self._enqueue_guardrail_task(self._item_transcripts[item_id]) elif event.type == "item_updated": is_new = not any(item.item_id == event.item.item_id for item in self._history) self._history = self._get_new_history(self._history, event.item) @@ -366,3 +369,37 @@ async def _run_output_guardrails(self, text: str) -> bool: return True return False + + def _enqueue_guardrail_task(self, text: str) -> None: + # Runs the guardrails in a separate task to avoid blocking the main loop + + task = asyncio.create_task(self._run_output_guardrails(text)) + self._guardrail_tasks.add(task) + + # Add callback to remove completed tasks and handle exceptions + task.add_done_callback(self._on_guardrail_task_done) + + def _on_guardrail_task_done(self, task: asyncio.Task[Any]) -> None: + """Handle completion of a guardrail task.""" + # Remove from tracking set + self._guardrail_tasks.discard(task) + + # Check for exceptions and propagate as events + if not task.cancelled(): + exception = task.exception() + if exception: + # Create an exception event instead of raising + asyncio.create_task( + self._put_event( + RealtimeError( + info=self._event_info, + error={"message": f"Guardrail task failed: {str(exception)}"}, + ) + ) + ) + + def _cleanup_guardrail_tasks(self) -> None: + for task in self._guardrail_tasks: + if not task.done(): + task.cancel() + self._guardrail_tasks.clear() diff --git a/tests/realtime/test_session.py b/tests/realtime/test_session.py index 6003f9443..d2e1a27a0 100644 --- a/tests/realtime/test_session.py +++ b/tests/realtime/test_session.py @@ -971,6 +971,12 @@ async def test_mixed_tool_types_filtering(self, mock_model, mock_agent): class TestGuardrailFunctionality: """Test suite for output guardrail functionality in RealtimeSession""" + async def _wait_for_guardrail_tasks(self, session): + """Wait for all pending guardrail tasks to complete.""" + import asyncio + if session._guardrail_tasks: + await asyncio.gather(*session._guardrail_tasks, return_exceptions=True) + @pytest.fixture def triggered_guardrail(self): """Creates a guardrail that always triggers""" @@ -1009,6 +1015,9 @@ async def test_transcript_delta_triggers_guardrail_at_threshold( ) await session.on_event(transcript_event) + + # Wait for async guardrail tasks to complete + await self._wait_for_guardrail_tasks(session) # Should have triggered guardrail and interrupted assert session._interrupted_by_guardrail is True @@ -1046,6 +1055,9 @@ async def test_transcript_delta_multiple_thresholds_same_item( await session.on_event(RealtimeModelTranscriptDeltaEvent( item_id="item_1", delta="67890", response_id="resp_1" )) + + # Wait for async guardrail tasks to complete + await self._wait_for_guardrail_tasks(session) # Should only trigger once due to interrupted_by_guardrail flag assert mock_model.interrupts_called == 1 @@ -1104,6 +1116,9 @@ async def test_turn_ended_clears_guardrail_state( await session.on_event(RealtimeModelTranscriptDeltaEvent( item_id="item_1", delta="trigger", response_id="resp_1" )) + + # Wait for async guardrail tasks to complete + await self._wait_for_guardrail_tasks(session) assert session._interrupted_by_guardrail is True assert len(session._item_transcripts) == 1 @@ -1142,6 +1157,9 @@ def guardrail_func(context, agent, output): await session.on_event(RealtimeModelTranscriptDeltaEvent( item_id="item_1", delta="trigger", response_id="resp_1" )) + + # Wait for async guardrail tasks to complete + await self._wait_for_guardrail_tasks(session) # Should have interrupted and sent message with both guardrail names assert mock_model.interrupts_called == 1 From 37e99b59a06811d6baf585b25765bdfc519a119f Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 14 Jul 2025 12:57:29 -0400 Subject: [PATCH 207/337] Back out "enhancement: Add tool_name to ToolContext to support shared tool handlers (#1043)" Original commit changeset: befe19db273a --- docs/ref/tool_context.md | 3 -- docs/tools.md | 2 +- mkdocs.yml | 1 - src/agents/_run_impl.py | 6 +--- src/agents/tool_context.py | 19 ++--------- tests/test_function_tool.py | 49 ++++++++------------------- tests/test_function_tool_decorator.py | 2 +- 7 files changed, 21 insertions(+), 61 deletions(-) delete mode 100644 docs/ref/tool_context.md diff --git a/docs/ref/tool_context.md b/docs/ref/tool_context.md deleted file mode 100644 index 6f32fac83..000000000 --- a/docs/ref/tool_context.md +++ /dev/null @@ -1,3 +0,0 @@ -# `Tool context` - -::: agents.tool_context diff --git a/docs/tools.md b/docs/tools.md index 17f7da0a1..6dba1a853 100644 --- a/docs/tools.md +++ b/docs/tools.md @@ -180,7 +180,7 @@ Sometimes, you don't want to use a Python function as a tool. You can directly c - `name` - `description` - `params_json_schema`, which is the JSON schema for the arguments -- `on_invoke_tool`, which is an async function that receives a [`ToolContext`][agents.tool_context.ToolContext] and the arguments as a JSON string, and must return the tool output as a string. +- `on_invoke_tool`, which is an async function that receives the context and the arguments as a JSON string, and must return the tool output as a string. ```python from typing import Any diff --git a/mkdocs.yml b/mkdocs.yml index 19529bf30..a465bfefa 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -92,7 +92,6 @@ plugins: - ref/lifecycle.md - ref/items.md - ref/run_context.md - - ref/tool_context.md - ref/usage.md - ref/exceptions.md - ref/guardrail.md diff --git a/src/agents/_run_impl.py b/src/agents/_run_impl.py index a83af62a1..4ac8b316b 100644 --- a/src/agents/_run_impl.py +++ b/src/agents/_run_impl.py @@ -548,11 +548,7 @@ async def run_single_tool( func_tool: FunctionTool, tool_call: ResponseFunctionToolCall ) -> Any: with function_span(func_tool.name) as span_fn: - tool_context = ToolContext.from_agent_context( - context_wrapper, - tool_call.call_id, - tool_call=tool_call, - ) + tool_context = ToolContext.from_agent_context(context_wrapper, tool_call.call_id) if config.trace_include_sensitive_data: span_fn.span_data.input = tool_call.arguments try: diff --git a/src/agents/tool_context.py b/src/agents/tool_context.py index 16845badd..c4329b8af 100644 --- a/src/agents/tool_context.py +++ b/src/agents/tool_context.py @@ -1,7 +1,5 @@ from dataclasses import dataclass, field, fields -from typing import Any, Optional - -from openai.types.responses import ResponseFunctionToolCall +from typing import Any from .run_context import RunContextWrapper, TContext @@ -10,26 +8,16 @@ def _assert_must_pass_tool_call_id() -> str: raise ValueError("tool_call_id must be passed to ToolContext") -def _assert_must_pass_tool_name() -> str: - raise ValueError("tool_name must be passed to ToolContext") - - @dataclass class ToolContext(RunContextWrapper[TContext]): """The context of a tool call.""" - tool_name: str = field(default_factory=_assert_must_pass_tool_name) - """The name of the tool being invoked.""" - tool_call_id: str = field(default_factory=_assert_must_pass_tool_call_id) """The ID of the tool call.""" @classmethod def from_agent_context( - cls, - context: RunContextWrapper[TContext], - tool_call_id: str, - tool_call: Optional[ResponseFunctionToolCall] = None, + cls, context: RunContextWrapper[TContext], tool_call_id: str ) -> "ToolContext": """ Create a ToolContext from a RunContextWrapper. @@ -38,5 +26,4 @@ def from_agent_context( base_values: dict[str, Any] = { f.name: getattr(context, f.name) for f in fields(RunContextWrapper) if f.init } - tool_name = tool_call.name if tool_call is not None else _assert_must_pass_tool_name() - return cls(tool_name=tool_name, tool_call_id=tool_call_id, **base_values) + return cls(tool_call_id=tool_call_id, **base_values) diff --git a/tests/test_function_tool.py b/tests/test_function_tool.py index 15602bbac..9b02a2c42 100644 --- a/tests/test_function_tool.py +++ b/tests/test_function_tool.py @@ -26,9 +26,7 @@ async def test_argless_function(): tool = function_tool(argless_function) assert tool.name == "argless_function" - result = await tool.on_invoke_tool( - ToolContext(context=None, tool_name=tool.name, tool_call_id="1"), "" - ) + result = await tool.on_invoke_tool(ToolContext(context=None, tool_call_id="1"), "") assert result == "ok" @@ -41,13 +39,11 @@ async def test_argless_with_context(): tool = function_tool(argless_with_context) assert tool.name == "argless_with_context" - result = await tool.on_invoke_tool(ToolContext(None, tool_name=tool.name, tool_call_id="1"), "") + result = await tool.on_invoke_tool(ToolContext(None, tool_call_id="1"), "") assert result == "ok" # Extra JSON should not raise an error - result = await tool.on_invoke_tool( - ToolContext(None, tool_name=tool.name, tool_call_id="1"), '{"a": 1}' - ) + result = await tool.on_invoke_tool(ToolContext(None, tool_call_id="1"), '{"a": 1}') assert result == "ok" @@ -60,19 +56,15 @@ async def test_simple_function(): tool = function_tool(simple_function, failure_error_function=None) assert tool.name == "simple_function" - result = await tool.on_invoke_tool( - ToolContext(None, tool_name=tool.name, tool_call_id="1"), '{"a": 1}' - ) + result = await tool.on_invoke_tool(ToolContext(None, tool_call_id="1"), '{"a": 1}') assert result == 6 - result = await tool.on_invoke_tool( - ToolContext(None, tool_name=tool.name, tool_call_id="1"), '{"a": 1, "b": 2}' - ) + result = await tool.on_invoke_tool(ToolContext(None, tool_call_id="1"), '{"a": 1, "b": 2}') assert result == 3 # Missing required argument should raise an error with pytest.raises(ModelBehaviorError): - await tool.on_invoke_tool(ToolContext(None, tool_name=tool.name, tool_call_id="1"), "") + await tool.on_invoke_tool(ToolContext(None, tool_call_id="1"), "") class Foo(BaseModel): @@ -100,9 +92,7 @@ async def test_complex_args_function(): "bar": Bar(x="hello", y=10), } ) - result = await tool.on_invoke_tool( - ToolContext(None, tool_name=tool.name, tool_call_id="1"), valid_json - ) + result = await tool.on_invoke_tool(ToolContext(None, tool_call_id="1"), valid_json) assert result == "6 hello10 hello" valid_json = json.dumps( @@ -111,9 +101,7 @@ async def test_complex_args_function(): "bar": Bar(x="hello", y=10), } ) - result = await tool.on_invoke_tool( - ToolContext(None, tool_name=tool.name, tool_call_id="1"), valid_json - ) + result = await tool.on_invoke_tool(ToolContext(None, tool_call_id="1"), valid_json) assert result == "3 hello10 hello" valid_json = json.dumps( @@ -123,16 +111,12 @@ async def test_complex_args_function(): "baz": "world", } ) - result = await tool.on_invoke_tool( - ToolContext(None, tool_name=tool.name, tool_call_id="1"), valid_json - ) + result = await tool.on_invoke_tool(ToolContext(None, tool_call_id="1"), valid_json) assert result == "3 hello10 world" # Missing required argument should raise an error with pytest.raises(ModelBehaviorError): - await tool.on_invoke_tool( - ToolContext(None, tool_name=tool.name, tool_call_id="1"), '{"foo": {"a": 1}}' - ) + await tool.on_invoke_tool(ToolContext(None, tool_call_id="1"), '{"foo": {"a": 1}}') def test_function_config_overrides(): @@ -192,9 +176,7 @@ async def run_function(ctx: RunContextWrapper[Any], args: str) -> str: assert tool.params_json_schema[key] == value assert tool.strict_json_schema - result = await tool.on_invoke_tool( - ToolContext(None, tool_name=tool.name, tool_call_id="1"), '{"data": "hello"}' - ) + result = await tool.on_invoke_tool(ToolContext(None, tool_call_id="1"), '{"data": "hello"}') assert result == "hello_done" tool_not_strict = FunctionTool( @@ -209,8 +191,7 @@ async def run_function(ctx: RunContextWrapper[Any], args: str) -> str: assert "additionalProperties" not in tool_not_strict.params_json_schema result = await tool_not_strict.on_invoke_tool( - ToolContext(None, tool_name=tool_not_strict.name, tool_call_id="1"), - '{"data": "hello", "bar": "baz"}', + ToolContext(None, tool_call_id="1"), '{"data": "hello", "bar": "baz"}' ) assert result == "hello_done" @@ -221,7 +202,7 @@ def my_func(a: int, b: int = 5): raise ValueError("test") tool = function_tool(my_func) - ctx = ToolContext(None, tool_name=tool.name, tool_call_id="1") + ctx = ToolContext(None, tool_call_id="1") result = await tool.on_invoke_tool(ctx, "") assert "Invalid JSON" in str(result) @@ -245,7 +226,7 @@ def custom_sync_error_function(ctx: RunContextWrapper[Any], error: Exception) -> return f"error_{error.__class__.__name__}" tool = function_tool(my_func, failure_error_function=custom_sync_error_function) - ctx = ToolContext(None, tool_name=tool.name, tool_call_id="1") + ctx = ToolContext(None, tool_call_id="1") result = await tool.on_invoke_tool(ctx, "") assert result == "error_ModelBehaviorError" @@ -269,7 +250,7 @@ def custom_sync_error_function(ctx: RunContextWrapper[Any], error: Exception) -> return f"error_{error.__class__.__name__}" tool = function_tool(my_func, failure_error_function=custom_sync_error_function) - ctx = ToolContext(None, tool_name=tool.name, tool_call_id="1") + ctx = ToolContext(None, tool_call_id="1") result = await tool.on_invoke_tool(ctx, "") assert result == "error_ModelBehaviorError" diff --git a/tests/test_function_tool_decorator.py b/tests/test_function_tool_decorator.py index b81d5dbe2..d334d8f84 100644 --- a/tests/test_function_tool_decorator.py +++ b/tests/test_function_tool_decorator.py @@ -16,7 +16,7 @@ def __init__(self): def ctx_wrapper() -> ToolContext[DummyContext]: - return ToolContext(context=DummyContext(), tool_name="dummy", tool_call_id="1") + return ToolContext(context=DummyContext(), tool_call_id="1") @function_tool From 7df469360632e76ecd6c8b464f1f4dc399c1d0f6 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 14 Jul 2025 12:59:01 -0400 Subject: [PATCH 208/337] Realtime: run guardrails without blockign event loop --- src/agents/realtime/events.py | 1 + src/agents/realtime/session.py | 39 +++++++++++++++++++++++++++++++++- tests/realtime/test_session.py | 18 ++++++++++++++++ 3 files changed, 57 insertions(+), 1 deletion(-) diff --git a/src/agents/realtime/events.py b/src/agents/realtime/events.py index e1b3cfea3..24444b66e 100644 --- a/src/agents/realtime/events.py +++ b/src/agents/realtime/events.py @@ -197,6 +197,7 @@ class RealtimeGuardrailTripped: type: Literal["guardrail_tripped"] = "guardrail_tripped" + RealtimeSessionEvent: TypeAlias = Union[ RealtimeAgentStartEvent, RealtimeAgentEndEvent, diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index 0ca3bf7af..8c909fd07 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -93,6 +93,8 @@ def __init__( "debounce_text_length", 100 ) + self._guardrail_tasks: set[asyncio.Task[Any]] = set() + async def __aenter__(self) -> RealtimeSession: """Start the session by connecting to the model. After this, you will be able to stream events from the model and send messages and audio to the model. @@ -136,6 +138,7 @@ async def __aiter__(self) -> AsyncIterator[RealtimeSessionEvent]: async def close(self) -> None: """Close the session.""" self._closed = True + self._cleanup_guardrail_tasks() self._model.remove_listener(self) await self._model.close() @@ -185,7 +188,7 @@ async def on_event(self, event: RealtimeModelEvent) -> None: if current_length >= next_run_threshold: self._item_guardrail_run_counts[item_id] += 1 - await self._run_output_guardrails(self._item_transcripts[item_id]) + self._enqueue_guardrail_task(self._item_transcripts[item_id]) elif event.type == "item_updated": is_new = not any(item.item_id == event.item.item_id for item in self._history) self._history = self._get_new_history(self._history, event.item) @@ -366,3 +369,37 @@ async def _run_output_guardrails(self, text: str) -> bool: return True return False + + def _enqueue_guardrail_task(self, text: str) -> None: + # Runs the guardrails in a separate task to avoid blocking the main loop + + task = asyncio.create_task(self._run_output_guardrails(text)) + self._guardrail_tasks.add(task) + + # Add callback to remove completed tasks and handle exceptions + task.add_done_callback(self._on_guardrail_task_done) + + def _on_guardrail_task_done(self, task: asyncio.Task[Any]) -> None: + """Handle completion of a guardrail task.""" + # Remove from tracking set + self._guardrail_tasks.discard(task) + + # Check for exceptions and propagate as events + if not task.cancelled(): + exception = task.exception() + if exception: + # Create an exception event instead of raising + asyncio.create_task( + self._put_event( + RealtimeError( + info=self._event_info, + error={"message": f"Guardrail task failed: {str(exception)}"}, + ) + ) + ) + + def _cleanup_guardrail_tasks(self) -> None: + for task in self._guardrail_tasks: + if not task.done(): + task.cancel() + self._guardrail_tasks.clear() diff --git a/tests/realtime/test_session.py b/tests/realtime/test_session.py index 6003f9443..d2e1a27a0 100644 --- a/tests/realtime/test_session.py +++ b/tests/realtime/test_session.py @@ -971,6 +971,12 @@ async def test_mixed_tool_types_filtering(self, mock_model, mock_agent): class TestGuardrailFunctionality: """Test suite for output guardrail functionality in RealtimeSession""" + async def _wait_for_guardrail_tasks(self, session): + """Wait for all pending guardrail tasks to complete.""" + import asyncio + if session._guardrail_tasks: + await asyncio.gather(*session._guardrail_tasks, return_exceptions=True) + @pytest.fixture def triggered_guardrail(self): """Creates a guardrail that always triggers""" @@ -1009,6 +1015,9 @@ async def test_transcript_delta_triggers_guardrail_at_threshold( ) await session.on_event(transcript_event) + + # Wait for async guardrail tasks to complete + await self._wait_for_guardrail_tasks(session) # Should have triggered guardrail and interrupted assert session._interrupted_by_guardrail is True @@ -1046,6 +1055,9 @@ async def test_transcript_delta_multiple_thresholds_same_item( await session.on_event(RealtimeModelTranscriptDeltaEvent( item_id="item_1", delta="67890", response_id="resp_1" )) + + # Wait for async guardrail tasks to complete + await self._wait_for_guardrail_tasks(session) # Should only trigger once due to interrupted_by_guardrail flag assert mock_model.interrupts_called == 1 @@ -1104,6 +1116,9 @@ async def test_turn_ended_clears_guardrail_state( await session.on_event(RealtimeModelTranscriptDeltaEvent( item_id="item_1", delta="trigger", response_id="resp_1" )) + + # Wait for async guardrail tasks to complete + await self._wait_for_guardrail_tasks(session) assert session._interrupted_by_guardrail is True assert len(session._item_transcripts) == 1 @@ -1142,6 +1157,9 @@ def guardrail_func(context, agent, output): await session.on_event(RealtimeModelTranscriptDeltaEvent( item_id="item_1", delta="trigger", response_id="resp_1" )) + + # Wait for async guardrail tasks to complete + await self._wait_for_guardrail_tasks(session) # Should have interrupted and sent message with both guardrail names assert mock_model.interrupts_called == 1 From 6dc4c206573afb30231a3885487e3606c4a0e908 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 14 Jul 2025 12:59:01 -0400 Subject: [PATCH 209/337] Run make format --- examples/mcp/prompt_server/main.py | 2 +- src/agents/model_settings.py | 3 + src/agents/models/openai_responses.py | 2 +- tests/realtime/test_session.py | 92 +++++++++++++++------------ tests/realtime/test_tracing.py | 16 ++--- 5 files changed, 60 insertions(+), 55 deletions(-) diff --git a/examples/mcp/prompt_server/main.py b/examples/mcp/prompt_server/main.py index 8f2991fc0..4caa95d88 100644 --- a/examples/mcp/prompt_server/main.py +++ b/examples/mcp/prompt_server/main.py @@ -17,7 +17,7 @@ async def get_instructions_from_prompt(mcp_server: MCPServer, prompt_name: str, try: prompt_result = await mcp_server.get_prompt(prompt_name, kwargs) content = prompt_result.messages[0].content - if hasattr(content, 'text'): + if hasattr(content, "text"): instructions = content.text else: instructions = str(content) diff --git a/src/agents/model_settings.py b/src/agents/model_settings.py index 1e9edcbc6..edb692960 100644 --- a/src/agents/model_settings.py +++ b/src/agents/model_settings.py @@ -42,15 +42,18 @@ def validate_from_none(value: None) -> _Omit: serialization=core_schema.plain_serializer_function_ser_schema(lambda instance: None), ) + @dataclass class MCPToolChoice: server_label: str name: str + Omit = Annotated[_Omit, _OmitTypeAnnotation] Headers: TypeAlias = Mapping[str, Union[str, Omit]] ToolChoice: TypeAlias = Union[Literal["auto", "required", "none"], str, MCPToolChoice, None] + @dataclass class ModelSettings: """Settings to use when calling an LLM. diff --git a/src/agents/models/openai_responses.py b/src/agents/models/openai_responses.py index d25613aee..76c67903c 100644 --- a/src/agents/models/openai_responses.py +++ b/src/agents/models/openai_responses.py @@ -343,7 +343,7 @@ def convert_tool_choice( elif tool_choice == "mcp": # Note that this is still here for backwards compatibility, # but migrating to MCPToolChoice is recommended. - return { "type": "mcp" } # type: ignore [typeddict-item] + return {"type": "mcp"} # type: ignore [typeddict-item] else: return { "type": "function", diff --git a/tests/realtime/test_session.py b/tests/realtime/test_session.py index d2e1a27a0..f6bd60064 100644 --- a/tests/realtime/test_session.py +++ b/tests/realtime/test_session.py @@ -972,29 +972,32 @@ class TestGuardrailFunctionality: """Test suite for output guardrail functionality in RealtimeSession""" async def _wait_for_guardrail_tasks(self, session): - """Wait for all pending guardrail tasks to complete.""" + """Wait for all pending guardrail tasks to complete.""" import asyncio + if session._guardrail_tasks: await asyncio.gather(*session._guardrail_tasks, return_exceptions=True) @pytest.fixture def triggered_guardrail(self): """Creates a guardrail that always triggers""" + def guardrail_func(context, agent, output): return GuardrailFunctionOutput( - output_info={"reason": "test trigger"}, - tripwire_triggered=True + output_info={"reason": "test trigger"}, tripwire_triggered=True ) + return OutputGuardrail(guardrail_function=guardrail_func, name="triggered_guardrail") @pytest.fixture def safe_guardrail(self): """Creates a guardrail that never triggers""" + def guardrail_func(context, agent, output): return GuardrailFunctionOutput( - output_info={"reason": "safe content"}, - tripwire_triggered=False + output_info={"reason": "safe content"}, tripwire_triggered=False ) + return OutputGuardrail(guardrail_function=guardrail_func, name="safe_guardrail") @pytest.mark.asyncio @@ -1004,7 +1007,7 @@ async def test_transcript_delta_triggers_guardrail_at_threshold( """Test that guardrails run when transcript delta reaches debounce threshold""" run_config: RealtimeRunConfig = { "output_guardrails": [triggered_guardrail], - "guardrails_settings": {"debounce_text_length": 10} + "guardrails_settings": {"debounce_text_length": 10}, } session = RealtimeSession(mock_model, mock_agent, None, run_config=run_config) @@ -1015,7 +1018,7 @@ async def test_transcript_delta_triggers_guardrail_at_threshold( ) await session.on_event(transcript_event) - + # Wait for async guardrail tasks to complete await self._wait_for_guardrail_tasks(session) @@ -1041,21 +1044,21 @@ async def test_transcript_delta_multiple_thresholds_same_item( """Test guardrails run at 1x, 2x, 3x thresholds for same item_id""" run_config: RealtimeRunConfig = { "output_guardrails": [triggered_guardrail], - "guardrails_settings": {"debounce_text_length": 5} + "guardrails_settings": {"debounce_text_length": 5}, } session = RealtimeSession(mock_model, mock_agent, None, run_config=run_config) # First delta - reaches 1x threshold (5 chars) - await session.on_event(RealtimeModelTranscriptDeltaEvent( - item_id="item_1", delta="12345", response_id="resp_1" - )) + await session.on_event( + RealtimeModelTranscriptDeltaEvent(item_id="item_1", delta="12345", response_id="resp_1") + ) # Second delta - reaches 2x threshold (10 chars total) - await session.on_event(RealtimeModelTranscriptDeltaEvent( - item_id="item_1", delta="67890", response_id="resp_1" - )) - + await session.on_event( + RealtimeModelTranscriptDeltaEvent(item_id="item_1", delta="67890", response_id="resp_1") + ) + # Wait for async guardrail tasks to complete await self._wait_for_guardrail_tasks(session) @@ -1070,28 +1073,32 @@ async def test_transcript_delta_different_items_tracked_separately( """Test that different item_ids are tracked separately for debouncing""" run_config: RealtimeRunConfig = { "output_guardrails": [safe_guardrail], - "guardrails_settings": {"debounce_text_length": 10} + "guardrails_settings": {"debounce_text_length": 10}, } session = RealtimeSession(mock_model, mock_agent, None, run_config=run_config) # Add text to item_1 (8 chars - below threshold) - await session.on_event(RealtimeModelTranscriptDeltaEvent( - item_id="item_1", delta="12345678", response_id="resp_1" - )) + await session.on_event( + RealtimeModelTranscriptDeltaEvent( + item_id="item_1", delta="12345678", response_id="resp_1" + ) + ) # Add text to item_2 (8 chars - below threshold) - await session.on_event(RealtimeModelTranscriptDeltaEvent( - item_id="item_2", delta="abcdefgh", response_id="resp_2" - )) + await session.on_event( + RealtimeModelTranscriptDeltaEvent( + item_id="item_2", delta="abcdefgh", response_id="resp_2" + ) + ) # Neither should trigger guardrails yet assert mock_model.interrupts_called == 0 # Add more text to item_1 (total 12 chars - above threshold) - await session.on_event(RealtimeModelTranscriptDeltaEvent( - item_id="item_1", delta="90ab", response_id="resp_1" - )) + await session.on_event( + RealtimeModelTranscriptDeltaEvent(item_id="item_1", delta="90ab", response_id="resp_1") + ) # item_1 should have triggered guardrail run (but not interrupted since safe) assert session._item_guardrail_run_counts["item_1"] == 1 @@ -1107,16 +1114,18 @@ async def test_turn_ended_clears_guardrail_state( """Test that turn_ended event clears guardrail state for next turn""" run_config: RealtimeRunConfig = { "output_guardrails": [triggered_guardrail], - "guardrails_settings": {"debounce_text_length": 5} + "guardrails_settings": {"debounce_text_length": 5}, } session = RealtimeSession(mock_model, mock_agent, None, run_config=run_config) # Trigger guardrail - await session.on_event(RealtimeModelTranscriptDeltaEvent( - item_id="item_1", delta="trigger", response_id="resp_1" - )) - + await session.on_event( + RealtimeModelTranscriptDeltaEvent( + item_id="item_1", delta="trigger", response_id="resp_1" + ) + ) + # Wait for async guardrail tasks to complete await self._wait_for_guardrail_tasks(session) @@ -1132,16 +1141,13 @@ async def test_turn_ended_clears_guardrail_state( assert len(session._item_guardrail_run_counts) == 0 @pytest.mark.asyncio - async def test_multiple_guardrails_all_triggered( - self, mock_model, mock_agent - ): + async def test_multiple_guardrails_all_triggered(self, mock_model, mock_agent): """Test that all triggered guardrails are included in the event""" + def create_triggered_guardrail(name): def guardrail_func(context, agent, output): - return GuardrailFunctionOutput( - output_info={"name": name}, - tripwire_triggered=True - ) + return GuardrailFunctionOutput(output_info={"name": name}, tripwire_triggered=True) + return OutputGuardrail(guardrail_function=guardrail_func, name=name) guardrail1 = create_triggered_guardrail("guardrail_1") @@ -1149,15 +1155,17 @@ def guardrail_func(context, agent, output): run_config: RealtimeRunConfig = { "output_guardrails": [guardrail1, guardrail2], - "guardrails_settings": {"debounce_text_length": 5} + "guardrails_settings": {"debounce_text_length": 5}, } session = RealtimeSession(mock_model, mock_agent, None, run_config=run_config) - await session.on_event(RealtimeModelTranscriptDeltaEvent( - item_id="item_1", delta="trigger", response_id="resp_1" - )) - + await session.on_event( + RealtimeModelTranscriptDeltaEvent( + item_id="item_1", delta="trigger", response_id="resp_1" + ) + ) + # Wait for async guardrail tasks to complete await self._wait_for_guardrail_tasks(session) diff --git a/tests/realtime/test_tracing.py b/tests/realtime/test_tracing.py index 456ae125f..7fb2594a9 100644 --- a/tests/realtime/test_tracing.py +++ b/tests/realtime/test_tracing.py @@ -222,27 +222,24 @@ async def test_tracing_disabled_prevents_tracing(self, mock_websocket): # Create a test agent and runner with tracing disabled agent = RealtimeAgent(name="test_agent", instructions="test") - runner = RealtimeRunner( - starting_agent=agent, - config={"tracing_disabled": True} - ) + runner = RealtimeRunner(starting_agent=agent, config={"tracing_disabled": True}) # Test the _get_model_settings method directly since that's where the logic is model_settings = await runner._get_model_settings( agent=agent, disable_tracing=True, # This should come from config["tracing_disabled"] initial_settings=None, - overrides=None + overrides=None, ) # When tracing is disabled, model settings should have tracing=None assert model_settings["tracing"] is None # Also test that the runner passes disable_tracing=True correctly - with patch.object(runner, '_get_model_settings') as mock_get_settings: + with patch.object(runner, "_get_model_settings") as mock_get_settings: mock_get_settings.return_value = {"tracing": None} - with patch('agents.realtime.session.RealtimeSession') as mock_session_class: + with patch("agents.realtime.session.RealtimeSession") as mock_session_class: mock_session = AsyncMock() mock_session_class.return_value = mock_session @@ -250,8 +247,5 @@ async def test_tracing_disabled_prevents_tracing(self, mock_websocket): # Verify that _get_model_settings was called with disable_tracing=True mock_get_settings.assert_called_once_with( - agent=agent, - disable_tracing=True, - initial_settings=None, - overrides=None + agent=agent, disable_tracing=True, initial_settings=None, overrides=None ) From 7230c6fe2ad89be7df486ee1a699b51fa3a2306a Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 14 Jul 2025 12:59:01 -0400 Subject: [PATCH 210/337] Realtime: forward exceptions from transport layer --- src/agents/realtime/config.py | 1 + src/agents/realtime/model_events.py | 11 + src/agents/realtime/openai_realtime.py | 125 +++++++---- src/agents/realtime/session.py | 29 ++- tests/test_session_exceptions.py | 298 +++++++++++++++++++++++++ 5 files changed, 421 insertions(+), 43 deletions(-) create mode 100644 tests/test_session_exceptions.py diff --git a/src/agents/realtime/config.py b/src/agents/realtime/config.py index ece72e755..9333a9cca 100644 --- a/src/agents/realtime/config.py +++ b/src/agents/realtime/config.py @@ -29,6 +29,7 @@ class RealtimeClientMessage(TypedDict): type: str # explicitly required other_data: NotRequired[dict[str, Any]] + """Merged into the message body.""" class RealtimeUserInputText(TypedDict): diff --git a/src/agents/realtime/model_events.py b/src/agents/realtime/model_events.py index a9769cebd..de1ad5f54 100644 --- a/src/agents/realtime/model_events.py +++ b/src/agents/realtime/model_events.py @@ -130,6 +130,16 @@ class RealtimeModelOtherEvent: type: Literal["other"] = "other" +@dataclass +class RealtimeModelExceptionEvent: + """Exception occurred during model operation.""" + + exception: Exception + context: str | None = None + + type: Literal["exception"] = "exception" + + # TODO (rm) Add usage events @@ -147,4 +157,5 @@ class RealtimeModelOtherEvent: RealtimeModelTurnStartedEvent, RealtimeModelTurnEndedEvent, RealtimeModelOtherEvent, + RealtimeModelExceptionEvent, ] diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 797753242..a070598d8 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -39,6 +39,7 @@ RealtimeModelAudioInterruptedEvent, RealtimeModelErrorEvent, RealtimeModelEvent, + RealtimeModelExceptionEvent, RealtimeModelInputAudioTranscriptionCompletedEvent, RealtimeModelItemDeletedEvent, RealtimeModelItemUpdatedEvent, @@ -130,48 +131,84 @@ async def _listen_for_messages(self): try: async for message in self._websocket: - parsed = json.loads(message) - await self._handle_ws_event(parsed) + try: + parsed = json.loads(message) + await self._handle_ws_event(parsed) + except json.JSONDecodeError as e: + await self._emit_event( + RealtimeModelExceptionEvent( + exception=e, context="Failed to parse WebSocket message as JSON" + ) + ) + except Exception as e: + await self._emit_event( + RealtimeModelExceptionEvent( + exception=e, context="Error handling WebSocket event" + ) + ) - except websockets.exceptions.ConnectionClosed: - # TODO connection closed handling (event, cleanup) - logger.warning("WebSocket connection closed") + except websockets.exceptions.ConnectionClosedOK: + # Normal connection closure - no exception event needed + logger.info("WebSocket connection closed normally") + except websockets.exceptions.ConnectionClosed as e: + await self._emit_event( + RealtimeModelExceptionEvent( + exception=e, context="WebSocket connection closed unexpectedly" + ) + ) except Exception as e: - logger.error(f"WebSocket error: {e}") + await self._emit_event( + RealtimeModelExceptionEvent( + exception=e, context="WebSocket error in message listener" + ) + ) async def send_event(self, event: RealtimeClientMessage) -> None: """Send an event to the model.""" assert self._websocket is not None, "Not connected" - converted_event = { - "type": event["type"], - } - converted_event.update(event.get("other_data", {})) + try: + converted_event = { + "type": event["type"], + } - await self._websocket.send(json.dumps(converted_event)) + converted_event.update(event.get("other_data", {})) + + await self._websocket.send(json.dumps(converted_event)) + except Exception as e: + await self._emit_event( + RealtimeModelExceptionEvent( + exception=e, context=f"Failed to send event: {event.get('type', 'unknown')}" + ) + ) async def send_message( self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None ) -> None: """Send a message to the model.""" - message = ( - message - if isinstance(message, dict) - else { - "type": "message", - "role": "user", - "content": [{"type": "input_text", "text": message}], + try: + message = ( + message + if isinstance(message, dict) + else { + "type": "message", + "role": "user", + "content": [{"type": "input_text", "text": message}], + } + ) + other_data = { + "item": message, } - ) - other_data = { - "item": message, - } - if other_event_data: - other_data.update(other_event_data) + if other_event_data: + other_data.update(other_event_data) - await self.send_event({"type": "conversation.item.create", "other_data": other_data}) + await self.send_event({"type": "conversation.item.create", "other_data": other_data}) - await self.send_event({"type": "response.create"}) + await self.send_event({"type": "response.create"}) + except Exception as e: + await self._emit_event( + RealtimeModelExceptionEvent(exception=e, context="Failed to send message") + ) async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: """Send a raw audio chunk to the model. @@ -182,17 +219,23 @@ async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: detection, this can be used to indicate the turn is completed. """ assert self._websocket is not None, "Not connected" - base64_audio = base64.b64encode(audio).decode("utf-8") - await self.send_event( - { - "type": "input_audio_buffer.append", - "other_data": { - "audio": base64_audio, - }, - } - ) - if commit: - await self.send_event({"type": "input_audio_buffer.commit"}) + + try: + base64_audio = base64.b64encode(audio).decode("utf-8") + await self.send_event( + { + "type": "input_audio_buffer.append", + "other_data": { + "audio": base64_audio, + }, + } + ) + if commit: + await self.send_event({"type": "input_audio_buffer.commit"}) + except Exception as e: + await self._emit_event( + RealtimeModelExceptionEvent(exception=e, context="Failed to send audio") + ) async def send_tool_output( self, tool_call: RealtimeModelToolCallEvent, output: str, start_response: bool @@ -342,8 +385,12 @@ async def _handle_ws_event(self, event: dict[str, Any]): OpenAIRealtimeServerEvent ).validate_python(event) except Exception as e: - logger.error(f"Invalid event: {event} - {e}") - # await self._emit_event(RealtimeModelErrorEvent(error=f"Invalid event: {event} - {e}")) + await self._emit_event( + RealtimeModelExceptionEvent( + exception=e, + context=f"Failed to validate server event: {event.get('type', 'unknown')}", + ) + ) return if parsed.type == "response.audio.delta": diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index 8c909fd07..ce8b7d705 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -84,6 +84,7 @@ def __init__( self._run_config = run_config or {} self._event_queue: asyncio.Queue[RealtimeSessionEvent] = asyncio.Queue() self._closed = False + self._stored_exception: Exception | None = None # Guardrails state tracking self._interrupted_by_guardrail = False @@ -130,6 +131,12 @@ async def __aiter__(self) -> AsyncIterator[RealtimeSessionEvent]: """Iterate over events from the session.""" while not self._closed: try: + # Check if there's a stored exception to raise + if self._stored_exception is not None: + # Clean up resources before raising + await self._cleanup() + raise self._stored_exception + event = await self._event_queue.get() yield event except asyncio.CancelledError: @@ -137,10 +144,7 @@ async def __aiter__(self) -> AsyncIterator[RealtimeSessionEvent]: async def close(self) -> None: """Close the session.""" - self._closed = True - self._cleanup_guardrail_tasks() - self._model.remove_listener(self) - await self._model.close() + await self._cleanup() async def send_message(self, message: RealtimeUserInput) -> None: """Send a message to the model.""" @@ -228,6 +232,9 @@ async def on_event(self, event: RealtimeModelEvent) -> None: info=self._event_info, ) ) + elif event.type == "exception": + # Store the exception to be raised in __aiter__ + self._stored_exception = event.exception elif event.type == "other": pass else: @@ -403,3 +410,17 @@ def _cleanup_guardrail_tasks(self) -> None: if not task.done(): task.cancel() self._guardrail_tasks.clear() + + async def _cleanup(self) -> None: + """Clean up all resources and mark session as closed.""" + # Cancel and cleanup guardrail tasks + self._cleanup_guardrail_tasks() + + # Remove ourselves as a listener + self._model.remove_listener(self) + + # Close the model connection + await self._model.close() + + # Mark as closed + self._closed = True diff --git a/tests/test_session_exceptions.py b/tests/test_session_exceptions.py new file mode 100644 index 000000000..b61778a2d --- /dev/null +++ b/tests/test_session_exceptions.py @@ -0,0 +1,298 @@ +from __future__ import annotations + +import asyncio +import json +from typing import Any +from unittest.mock import AsyncMock, Mock + +import pytest +import websockets.exceptions + +from agents.realtime.events import RealtimeError +from agents.realtime.model import RealtimeModel, RealtimeModelConfig, RealtimeModelListener +from agents.realtime.model_events import ( + RealtimeModelErrorEvent, + RealtimeModelEvent, + RealtimeModelExceptionEvent, +) +from agents.realtime.session import RealtimeSession + + +class FakeRealtimeModel(RealtimeModel): + """Fake model for testing that forwards events to listeners.""" + + def __init__(self): + self._listeners: list[RealtimeModelListener] = [] + self._events_to_send: list[RealtimeModelEvent] = [] + self._is_connected = False + self._send_task: asyncio.Task[None] | None = None + + def set_next_events(self, events: list[RealtimeModelEvent]) -> None: + """Set events to be sent to listeners.""" + self._events_to_send = events.copy() + + async def connect(self, options: RealtimeModelConfig) -> None: + """Fake connection that starts sending events.""" + self._is_connected = True + self._send_task = asyncio.create_task(self._send_events()) + + async def _send_events(self) -> None: + """Send queued events to all listeners.""" + for event in self._events_to_send: + await asyncio.sleep(0.001) # Small delay to simulate async behavior + for listener in self._listeners: + await listener.on_event(event) + + def add_listener(self, listener: RealtimeModelListener) -> None: + """Add a listener.""" + self._listeners.append(listener) + + def remove_listener(self, listener: RealtimeModelListener) -> None: + """Remove a listener.""" + if listener in self._listeners: + self._listeners.remove(listener) + + async def close(self) -> None: + """Close the fake model.""" + self._is_connected = False + if self._send_task and not self._send_task.done(): + self._send_task.cancel() + try: + await self._send_task + except asyncio.CancelledError: + pass + + async def send_message(self, message: Any, other_data) -> None: + """Fake send message.""" + pass + + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Fake send audio.""" + pass + + async def send_event(self, event: Any) -> None: + """Fake send event.""" + pass + + async def send_tool_output(self, tool_call: Any, output: str, start_response: bool) -> None: + """Fake send tool output.""" + pass + + async def interrupt(self) -> None: + """Fake interrupt.""" + pass + + +@pytest.fixture +def fake_agent(): + """Create a fake agent for testing.""" + agent = Mock() + agent.get_all_tools = AsyncMock(return_value=[]) + return agent + + +@pytest.fixture +def fake_model(): + """Create a fake model for testing.""" + return FakeRealtimeModel() + + +class TestSessionExceptions: + """Test exception handling in RealtimeSession.""" + + @pytest.mark.asyncio + async def test_end_to_end_exception_propagation_and_cleanup( + self, fake_model: FakeRealtimeModel, fake_agent + ): + """Test that exceptions are stored, trigger cleanup, and are raised in __aiter__.""" + # Create test exception + test_exception = ValueError("Test error") + exception_event = RealtimeModelExceptionEvent( + exception=test_exception, context="Test context" + ) + + # Set up session + session = RealtimeSession(fake_model, fake_agent, None) + + # Set events to send + fake_model.set_next_events([exception_event]) + + # Start session + async with session: + # Try to iterate and expect exception + with pytest.raises(ValueError, match="Test error"): + async for _event in session: + pass # Should never reach here + + # Verify cleanup occurred + assert session._closed is True + assert session._stored_exception == test_exception + assert fake_model._is_connected is False + assert len(fake_model._listeners) == 0 + + @pytest.mark.asyncio + async def test_websocket_connection_closure_type_distinction( + self, fake_model: FakeRealtimeModel, fake_agent + ): + """Test different WebSocket closure types generate appropriate events.""" + # Test ConnectionClosed (should create exception event) + error_closure = websockets.exceptions.ConnectionClosed(None, None) + error_event = RealtimeModelExceptionEvent( + exception=error_closure, context="WebSocket connection closed unexpectedly" + ) + + session = RealtimeSession(fake_model, fake_agent, None) + fake_model.set_next_events([error_event]) + + with pytest.raises(websockets.exceptions.ConnectionClosed): + async with session: + async for _event in session: + pass + + # Verify error closure triggered cleanup + assert session._closed is True + assert isinstance(session._stored_exception, websockets.exceptions.ConnectionClosed) + + @pytest.mark.asyncio + async def test_json_parsing_error_handling(self, fake_model: FakeRealtimeModel, fake_agent): + """Test JSON parsing errors are properly handled and contextualized.""" + # Create JSON decode error + json_error = json.JSONDecodeError("Invalid JSON", "bad json", 0) + json_exception_event = RealtimeModelExceptionEvent( + exception=json_error, context="Failed to parse WebSocket message as JSON" + ) + + session = RealtimeSession(fake_model, fake_agent, None) + fake_model.set_next_events([json_exception_event]) + + with pytest.raises(json.JSONDecodeError): + async with session: + async for _event in session: + pass + + # Verify context is preserved + assert session._stored_exception == json_error + assert session._closed is True + + @pytest.mark.asyncio + async def test_exception_context_preservation(self, fake_model: FakeRealtimeModel, fake_agent): + """Test that exception context information is preserved through the handling process.""" + test_contexts = [ + ("Failed to send audio", RuntimeError("Audio encoding failed")), + ("WebSocket error in message listener", ConnectionError("Network error")), + ("Failed to send event: response.create", OSError("Socket closed")), + ] + + for context, exception in test_contexts: + exception_event = RealtimeModelExceptionEvent(exception=exception, context=context) + + session = RealtimeSession(fake_model, fake_agent, None) + fake_model.set_next_events([exception_event]) + + with pytest.raises(type(exception)): + async with session: + async for _event in session: + pass + + # Verify the exact exception is stored + assert session._stored_exception == exception + assert session._closed is True + + # Reset for next iteration + fake_model._is_connected = False + fake_model._listeners.clear() + + @pytest.mark.asyncio + async def test_multiple_exception_handling_behavior( + self, fake_model: FakeRealtimeModel, fake_agent + ): + """Test behavior when multiple exceptions occur before consumption.""" + # Create multiple exceptions + first_exception = ValueError("First error") + second_exception = RuntimeError("Second error") + + first_event = RealtimeModelExceptionEvent( + exception=first_exception, context="First context" + ) + second_event = RealtimeModelExceptionEvent( + exception=second_exception, context="Second context" + ) + + session = RealtimeSession(fake_model, fake_agent, None) + fake_model.set_next_events([first_event, second_event]) + + # Start session and let events process + async with session: + # Give time for events to be processed + await asyncio.sleep(0.05) + + # The first exception should be stored (second should overwrite, but that's + # the current behavior). In practice, once an exception occurs, cleanup + # should prevent further processing + assert session._stored_exception is not None + assert session._closed is True + + @pytest.mark.asyncio + async def test_exception_during_guardrail_processing( + self, fake_model: FakeRealtimeModel, fake_agent + ): + """Test that exceptions don't interfere with guardrail task cleanup.""" + # Create exception event + test_exception = RuntimeError("Processing error") + exception_event = RealtimeModelExceptionEvent( + exception=test_exception, context="Processing failed" + ) + + session = RealtimeSession(fake_model, fake_agent, None) + + # Add some fake guardrail tasks + fake_task1 = Mock() + fake_task1.done.return_value = False + fake_task1.cancel = Mock() + + fake_task2 = Mock() + fake_task2.done.return_value = True + fake_task2.cancel = Mock() + + session._guardrail_tasks = {fake_task1, fake_task2} + + fake_model.set_next_events([exception_event]) + + with pytest.raises(RuntimeError, match="Processing error"): + async with session: + async for _event in session: + pass + + # Verify guardrail tasks were properly cleaned up + fake_task1.cancel.assert_called_once() + fake_task2.cancel.assert_not_called() # Already done + assert len(session._guardrail_tasks) == 0 + + @pytest.mark.asyncio + async def test_normal_events_still_work_before_exception( + self, fake_model: FakeRealtimeModel, fake_agent + ): + """Test that normal events are processed before an exception occurs.""" + # Create normal event followed by exception + normal_event = RealtimeModelErrorEvent(error={"message": "Normal error"}) + exception_event = RealtimeModelExceptionEvent( + exception=ValueError("Fatal error"), context="Fatal context" + ) + + session = RealtimeSession(fake_model, fake_agent, None) + fake_model.set_next_events([normal_event, exception_event]) + + events_received = [] + + with pytest.raises(ValueError, match="Fatal error"): + async with session: + async for event in session: + events_received.append(event) + + # Should have received events before exception + assert len(events_received) >= 1 + # Look for the error event (might not be first due to history_updated + # being emitted initially) + error_events = [e for e in events_received if hasattr(e, "type") and e.type == "error"] + assert len(error_events) >= 1 + assert isinstance(error_events[0], RealtimeError) From 34a102cebbb6126c62ffb3d3fa9d5db67d8fa972 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 14 Jul 2025 12:59:01 -0400 Subject: [PATCH 211/337] Realtime: run guardrails without blockign event loop --- src/agents/realtime/events.py | 1 + src/agents/realtime/session.py | 39 +++++++++++++++++++++++++++++++++- tests/realtime/test_session.py | 18 ++++++++++++++++ 3 files changed, 57 insertions(+), 1 deletion(-) diff --git a/src/agents/realtime/events.py b/src/agents/realtime/events.py index e1b3cfea3..24444b66e 100644 --- a/src/agents/realtime/events.py +++ b/src/agents/realtime/events.py @@ -197,6 +197,7 @@ class RealtimeGuardrailTripped: type: Literal["guardrail_tripped"] = "guardrail_tripped" + RealtimeSessionEvent: TypeAlias = Union[ RealtimeAgentStartEvent, RealtimeAgentEndEvent, diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index 0ca3bf7af..8c909fd07 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -93,6 +93,8 @@ def __init__( "debounce_text_length", 100 ) + self._guardrail_tasks: set[asyncio.Task[Any]] = set() + async def __aenter__(self) -> RealtimeSession: """Start the session by connecting to the model. After this, you will be able to stream events from the model and send messages and audio to the model. @@ -136,6 +138,7 @@ async def __aiter__(self) -> AsyncIterator[RealtimeSessionEvent]: async def close(self) -> None: """Close the session.""" self._closed = True + self._cleanup_guardrail_tasks() self._model.remove_listener(self) await self._model.close() @@ -185,7 +188,7 @@ async def on_event(self, event: RealtimeModelEvent) -> None: if current_length >= next_run_threshold: self._item_guardrail_run_counts[item_id] += 1 - await self._run_output_guardrails(self._item_transcripts[item_id]) + self._enqueue_guardrail_task(self._item_transcripts[item_id]) elif event.type == "item_updated": is_new = not any(item.item_id == event.item.item_id for item in self._history) self._history = self._get_new_history(self._history, event.item) @@ -366,3 +369,37 @@ async def _run_output_guardrails(self, text: str) -> bool: return True return False + + def _enqueue_guardrail_task(self, text: str) -> None: + # Runs the guardrails in a separate task to avoid blocking the main loop + + task = asyncio.create_task(self._run_output_guardrails(text)) + self._guardrail_tasks.add(task) + + # Add callback to remove completed tasks and handle exceptions + task.add_done_callback(self._on_guardrail_task_done) + + def _on_guardrail_task_done(self, task: asyncio.Task[Any]) -> None: + """Handle completion of a guardrail task.""" + # Remove from tracking set + self._guardrail_tasks.discard(task) + + # Check for exceptions and propagate as events + if not task.cancelled(): + exception = task.exception() + if exception: + # Create an exception event instead of raising + asyncio.create_task( + self._put_event( + RealtimeError( + info=self._event_info, + error={"message": f"Guardrail task failed: {str(exception)}"}, + ) + ) + ) + + def _cleanup_guardrail_tasks(self) -> None: + for task in self._guardrail_tasks: + if not task.done(): + task.cancel() + self._guardrail_tasks.clear() diff --git a/tests/realtime/test_session.py b/tests/realtime/test_session.py index 6003f9443..2cd71b023 100644 --- a/tests/realtime/test_session.py +++ b/tests/realtime/test_session.py @@ -971,6 +971,12 @@ async def test_mixed_tool_types_filtering(self, mock_model, mock_agent): class TestGuardrailFunctionality: """Test suite for output guardrail functionality in RealtimeSession""" + async def _wait_for_guardrail_tasks(self, session): + """Wait for all pending guardrail tasks to complete.""" + import asyncio + if session._guardrail_tasks: + await asyncio.gather(*session._guardrail_tasks, return_exceptions=True) + @pytest.fixture def triggered_guardrail(self): """Creates a guardrail that always triggers""" @@ -1010,6 +1016,9 @@ async def test_transcript_delta_triggers_guardrail_at_threshold( await session.on_event(transcript_event) + # Wait for async guardrail tasks to complete + await self._wait_for_guardrail_tasks(session) + # Should have triggered guardrail and interrupted assert session._interrupted_by_guardrail is True assert mock_model.interrupts_called == 1 @@ -1047,6 +1056,9 @@ async def test_transcript_delta_multiple_thresholds_same_item( item_id="item_1", delta="67890", response_id="resp_1" )) + # Wait for async guardrail tasks to complete + await self._wait_for_guardrail_tasks(session) + # Should only trigger once due to interrupted_by_guardrail flag assert mock_model.interrupts_called == 1 assert len(mock_model.sent_messages) == 1 @@ -1105,6 +1117,9 @@ async def test_turn_ended_clears_guardrail_state( item_id="item_1", delta="trigger", response_id="resp_1" )) + # Wait for async guardrail tasks to complete + await self._wait_for_guardrail_tasks(session) + assert session._interrupted_by_guardrail is True assert len(session._item_transcripts) == 1 @@ -1143,6 +1158,9 @@ def guardrail_func(context, agent, output): item_id="item_1", delta="trigger", response_id="resp_1" )) + # Wait for async guardrail tasks to complete + await self._wait_for_guardrail_tasks(session) + # Should have interrupted and sent message with both guardrail names assert mock_model.interrupts_called == 1 assert len(mock_model.sent_messages) == 1 From 78693b14013fde9ace8ac5f2279f59e75dc3919c Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 14 Jul 2025 13:31:41 -0400 Subject: [PATCH 212/337] Realtime: forward exceptions from transport layer --- src/agents/realtime/config.py | 1 + src/agents/realtime/model_events.py | 11 + src/agents/realtime/openai_realtime.py | 125 +++++++---- src/agents/realtime/session.py | 29 ++- tests/test_session_exceptions.py | 298 +++++++++++++++++++++++++ 5 files changed, 421 insertions(+), 43 deletions(-) create mode 100644 tests/test_session_exceptions.py diff --git a/src/agents/realtime/config.py b/src/agents/realtime/config.py index ece72e755..9333a9cca 100644 --- a/src/agents/realtime/config.py +++ b/src/agents/realtime/config.py @@ -29,6 +29,7 @@ class RealtimeClientMessage(TypedDict): type: str # explicitly required other_data: NotRequired[dict[str, Any]] + """Merged into the message body.""" class RealtimeUserInputText(TypedDict): diff --git a/src/agents/realtime/model_events.py b/src/agents/realtime/model_events.py index a9769cebd..de1ad5f54 100644 --- a/src/agents/realtime/model_events.py +++ b/src/agents/realtime/model_events.py @@ -130,6 +130,16 @@ class RealtimeModelOtherEvent: type: Literal["other"] = "other" +@dataclass +class RealtimeModelExceptionEvent: + """Exception occurred during model operation.""" + + exception: Exception + context: str | None = None + + type: Literal["exception"] = "exception" + + # TODO (rm) Add usage events @@ -147,4 +157,5 @@ class RealtimeModelOtherEvent: RealtimeModelTurnStartedEvent, RealtimeModelTurnEndedEvent, RealtimeModelOtherEvent, + RealtimeModelExceptionEvent, ] diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 797753242..a070598d8 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -39,6 +39,7 @@ RealtimeModelAudioInterruptedEvent, RealtimeModelErrorEvent, RealtimeModelEvent, + RealtimeModelExceptionEvent, RealtimeModelInputAudioTranscriptionCompletedEvent, RealtimeModelItemDeletedEvent, RealtimeModelItemUpdatedEvent, @@ -130,48 +131,84 @@ async def _listen_for_messages(self): try: async for message in self._websocket: - parsed = json.loads(message) - await self._handle_ws_event(parsed) + try: + parsed = json.loads(message) + await self._handle_ws_event(parsed) + except json.JSONDecodeError as e: + await self._emit_event( + RealtimeModelExceptionEvent( + exception=e, context="Failed to parse WebSocket message as JSON" + ) + ) + except Exception as e: + await self._emit_event( + RealtimeModelExceptionEvent( + exception=e, context="Error handling WebSocket event" + ) + ) - except websockets.exceptions.ConnectionClosed: - # TODO connection closed handling (event, cleanup) - logger.warning("WebSocket connection closed") + except websockets.exceptions.ConnectionClosedOK: + # Normal connection closure - no exception event needed + logger.info("WebSocket connection closed normally") + except websockets.exceptions.ConnectionClosed as e: + await self._emit_event( + RealtimeModelExceptionEvent( + exception=e, context="WebSocket connection closed unexpectedly" + ) + ) except Exception as e: - logger.error(f"WebSocket error: {e}") + await self._emit_event( + RealtimeModelExceptionEvent( + exception=e, context="WebSocket error in message listener" + ) + ) async def send_event(self, event: RealtimeClientMessage) -> None: """Send an event to the model.""" assert self._websocket is not None, "Not connected" - converted_event = { - "type": event["type"], - } - converted_event.update(event.get("other_data", {})) + try: + converted_event = { + "type": event["type"], + } - await self._websocket.send(json.dumps(converted_event)) + converted_event.update(event.get("other_data", {})) + + await self._websocket.send(json.dumps(converted_event)) + except Exception as e: + await self._emit_event( + RealtimeModelExceptionEvent( + exception=e, context=f"Failed to send event: {event.get('type', 'unknown')}" + ) + ) async def send_message( self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None ) -> None: """Send a message to the model.""" - message = ( - message - if isinstance(message, dict) - else { - "type": "message", - "role": "user", - "content": [{"type": "input_text", "text": message}], + try: + message = ( + message + if isinstance(message, dict) + else { + "type": "message", + "role": "user", + "content": [{"type": "input_text", "text": message}], + } + ) + other_data = { + "item": message, } - ) - other_data = { - "item": message, - } - if other_event_data: - other_data.update(other_event_data) + if other_event_data: + other_data.update(other_event_data) - await self.send_event({"type": "conversation.item.create", "other_data": other_data}) + await self.send_event({"type": "conversation.item.create", "other_data": other_data}) - await self.send_event({"type": "response.create"}) + await self.send_event({"type": "response.create"}) + except Exception as e: + await self._emit_event( + RealtimeModelExceptionEvent(exception=e, context="Failed to send message") + ) async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: """Send a raw audio chunk to the model. @@ -182,17 +219,23 @@ async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: detection, this can be used to indicate the turn is completed. """ assert self._websocket is not None, "Not connected" - base64_audio = base64.b64encode(audio).decode("utf-8") - await self.send_event( - { - "type": "input_audio_buffer.append", - "other_data": { - "audio": base64_audio, - }, - } - ) - if commit: - await self.send_event({"type": "input_audio_buffer.commit"}) + + try: + base64_audio = base64.b64encode(audio).decode("utf-8") + await self.send_event( + { + "type": "input_audio_buffer.append", + "other_data": { + "audio": base64_audio, + }, + } + ) + if commit: + await self.send_event({"type": "input_audio_buffer.commit"}) + except Exception as e: + await self._emit_event( + RealtimeModelExceptionEvent(exception=e, context="Failed to send audio") + ) async def send_tool_output( self, tool_call: RealtimeModelToolCallEvent, output: str, start_response: bool @@ -342,8 +385,12 @@ async def _handle_ws_event(self, event: dict[str, Any]): OpenAIRealtimeServerEvent ).validate_python(event) except Exception as e: - logger.error(f"Invalid event: {event} - {e}") - # await self._emit_event(RealtimeModelErrorEvent(error=f"Invalid event: {event} - {e}")) + await self._emit_event( + RealtimeModelExceptionEvent( + exception=e, + context=f"Failed to validate server event: {event.get('type', 'unknown')}", + ) + ) return if parsed.type == "response.audio.delta": diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index 8c909fd07..ce8b7d705 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -84,6 +84,7 @@ def __init__( self._run_config = run_config or {} self._event_queue: asyncio.Queue[RealtimeSessionEvent] = asyncio.Queue() self._closed = False + self._stored_exception: Exception | None = None # Guardrails state tracking self._interrupted_by_guardrail = False @@ -130,6 +131,12 @@ async def __aiter__(self) -> AsyncIterator[RealtimeSessionEvent]: """Iterate over events from the session.""" while not self._closed: try: + # Check if there's a stored exception to raise + if self._stored_exception is not None: + # Clean up resources before raising + await self._cleanup() + raise self._stored_exception + event = await self._event_queue.get() yield event except asyncio.CancelledError: @@ -137,10 +144,7 @@ async def __aiter__(self) -> AsyncIterator[RealtimeSessionEvent]: async def close(self) -> None: """Close the session.""" - self._closed = True - self._cleanup_guardrail_tasks() - self._model.remove_listener(self) - await self._model.close() + await self._cleanup() async def send_message(self, message: RealtimeUserInput) -> None: """Send a message to the model.""" @@ -228,6 +232,9 @@ async def on_event(self, event: RealtimeModelEvent) -> None: info=self._event_info, ) ) + elif event.type == "exception": + # Store the exception to be raised in __aiter__ + self._stored_exception = event.exception elif event.type == "other": pass else: @@ -403,3 +410,17 @@ def _cleanup_guardrail_tasks(self) -> None: if not task.done(): task.cancel() self._guardrail_tasks.clear() + + async def _cleanup(self) -> None: + """Clean up all resources and mark session as closed.""" + # Cancel and cleanup guardrail tasks + self._cleanup_guardrail_tasks() + + # Remove ourselves as a listener + self._model.remove_listener(self) + + # Close the model connection + await self._model.close() + + # Mark as closed + self._closed = True diff --git a/tests/test_session_exceptions.py b/tests/test_session_exceptions.py new file mode 100644 index 000000000..b61778a2d --- /dev/null +++ b/tests/test_session_exceptions.py @@ -0,0 +1,298 @@ +from __future__ import annotations + +import asyncio +import json +from typing import Any +from unittest.mock import AsyncMock, Mock + +import pytest +import websockets.exceptions + +from agents.realtime.events import RealtimeError +from agents.realtime.model import RealtimeModel, RealtimeModelConfig, RealtimeModelListener +from agents.realtime.model_events import ( + RealtimeModelErrorEvent, + RealtimeModelEvent, + RealtimeModelExceptionEvent, +) +from agents.realtime.session import RealtimeSession + + +class FakeRealtimeModel(RealtimeModel): + """Fake model for testing that forwards events to listeners.""" + + def __init__(self): + self._listeners: list[RealtimeModelListener] = [] + self._events_to_send: list[RealtimeModelEvent] = [] + self._is_connected = False + self._send_task: asyncio.Task[None] | None = None + + def set_next_events(self, events: list[RealtimeModelEvent]) -> None: + """Set events to be sent to listeners.""" + self._events_to_send = events.copy() + + async def connect(self, options: RealtimeModelConfig) -> None: + """Fake connection that starts sending events.""" + self._is_connected = True + self._send_task = asyncio.create_task(self._send_events()) + + async def _send_events(self) -> None: + """Send queued events to all listeners.""" + for event in self._events_to_send: + await asyncio.sleep(0.001) # Small delay to simulate async behavior + for listener in self._listeners: + await listener.on_event(event) + + def add_listener(self, listener: RealtimeModelListener) -> None: + """Add a listener.""" + self._listeners.append(listener) + + def remove_listener(self, listener: RealtimeModelListener) -> None: + """Remove a listener.""" + if listener in self._listeners: + self._listeners.remove(listener) + + async def close(self) -> None: + """Close the fake model.""" + self._is_connected = False + if self._send_task and not self._send_task.done(): + self._send_task.cancel() + try: + await self._send_task + except asyncio.CancelledError: + pass + + async def send_message(self, message: Any, other_data) -> None: + """Fake send message.""" + pass + + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Fake send audio.""" + pass + + async def send_event(self, event: Any) -> None: + """Fake send event.""" + pass + + async def send_tool_output(self, tool_call: Any, output: str, start_response: bool) -> None: + """Fake send tool output.""" + pass + + async def interrupt(self) -> None: + """Fake interrupt.""" + pass + + +@pytest.fixture +def fake_agent(): + """Create a fake agent for testing.""" + agent = Mock() + agent.get_all_tools = AsyncMock(return_value=[]) + return agent + + +@pytest.fixture +def fake_model(): + """Create a fake model for testing.""" + return FakeRealtimeModel() + + +class TestSessionExceptions: + """Test exception handling in RealtimeSession.""" + + @pytest.mark.asyncio + async def test_end_to_end_exception_propagation_and_cleanup( + self, fake_model: FakeRealtimeModel, fake_agent + ): + """Test that exceptions are stored, trigger cleanup, and are raised in __aiter__.""" + # Create test exception + test_exception = ValueError("Test error") + exception_event = RealtimeModelExceptionEvent( + exception=test_exception, context="Test context" + ) + + # Set up session + session = RealtimeSession(fake_model, fake_agent, None) + + # Set events to send + fake_model.set_next_events([exception_event]) + + # Start session + async with session: + # Try to iterate and expect exception + with pytest.raises(ValueError, match="Test error"): + async for _event in session: + pass # Should never reach here + + # Verify cleanup occurred + assert session._closed is True + assert session._stored_exception == test_exception + assert fake_model._is_connected is False + assert len(fake_model._listeners) == 0 + + @pytest.mark.asyncio + async def test_websocket_connection_closure_type_distinction( + self, fake_model: FakeRealtimeModel, fake_agent + ): + """Test different WebSocket closure types generate appropriate events.""" + # Test ConnectionClosed (should create exception event) + error_closure = websockets.exceptions.ConnectionClosed(None, None) + error_event = RealtimeModelExceptionEvent( + exception=error_closure, context="WebSocket connection closed unexpectedly" + ) + + session = RealtimeSession(fake_model, fake_agent, None) + fake_model.set_next_events([error_event]) + + with pytest.raises(websockets.exceptions.ConnectionClosed): + async with session: + async for _event in session: + pass + + # Verify error closure triggered cleanup + assert session._closed is True + assert isinstance(session._stored_exception, websockets.exceptions.ConnectionClosed) + + @pytest.mark.asyncio + async def test_json_parsing_error_handling(self, fake_model: FakeRealtimeModel, fake_agent): + """Test JSON parsing errors are properly handled and contextualized.""" + # Create JSON decode error + json_error = json.JSONDecodeError("Invalid JSON", "bad json", 0) + json_exception_event = RealtimeModelExceptionEvent( + exception=json_error, context="Failed to parse WebSocket message as JSON" + ) + + session = RealtimeSession(fake_model, fake_agent, None) + fake_model.set_next_events([json_exception_event]) + + with pytest.raises(json.JSONDecodeError): + async with session: + async for _event in session: + pass + + # Verify context is preserved + assert session._stored_exception == json_error + assert session._closed is True + + @pytest.mark.asyncio + async def test_exception_context_preservation(self, fake_model: FakeRealtimeModel, fake_agent): + """Test that exception context information is preserved through the handling process.""" + test_contexts = [ + ("Failed to send audio", RuntimeError("Audio encoding failed")), + ("WebSocket error in message listener", ConnectionError("Network error")), + ("Failed to send event: response.create", OSError("Socket closed")), + ] + + for context, exception in test_contexts: + exception_event = RealtimeModelExceptionEvent(exception=exception, context=context) + + session = RealtimeSession(fake_model, fake_agent, None) + fake_model.set_next_events([exception_event]) + + with pytest.raises(type(exception)): + async with session: + async for _event in session: + pass + + # Verify the exact exception is stored + assert session._stored_exception == exception + assert session._closed is True + + # Reset for next iteration + fake_model._is_connected = False + fake_model._listeners.clear() + + @pytest.mark.asyncio + async def test_multiple_exception_handling_behavior( + self, fake_model: FakeRealtimeModel, fake_agent + ): + """Test behavior when multiple exceptions occur before consumption.""" + # Create multiple exceptions + first_exception = ValueError("First error") + second_exception = RuntimeError("Second error") + + first_event = RealtimeModelExceptionEvent( + exception=first_exception, context="First context" + ) + second_event = RealtimeModelExceptionEvent( + exception=second_exception, context="Second context" + ) + + session = RealtimeSession(fake_model, fake_agent, None) + fake_model.set_next_events([first_event, second_event]) + + # Start session and let events process + async with session: + # Give time for events to be processed + await asyncio.sleep(0.05) + + # The first exception should be stored (second should overwrite, but that's + # the current behavior). In practice, once an exception occurs, cleanup + # should prevent further processing + assert session._stored_exception is not None + assert session._closed is True + + @pytest.mark.asyncio + async def test_exception_during_guardrail_processing( + self, fake_model: FakeRealtimeModel, fake_agent + ): + """Test that exceptions don't interfere with guardrail task cleanup.""" + # Create exception event + test_exception = RuntimeError("Processing error") + exception_event = RealtimeModelExceptionEvent( + exception=test_exception, context="Processing failed" + ) + + session = RealtimeSession(fake_model, fake_agent, None) + + # Add some fake guardrail tasks + fake_task1 = Mock() + fake_task1.done.return_value = False + fake_task1.cancel = Mock() + + fake_task2 = Mock() + fake_task2.done.return_value = True + fake_task2.cancel = Mock() + + session._guardrail_tasks = {fake_task1, fake_task2} + + fake_model.set_next_events([exception_event]) + + with pytest.raises(RuntimeError, match="Processing error"): + async with session: + async for _event in session: + pass + + # Verify guardrail tasks were properly cleaned up + fake_task1.cancel.assert_called_once() + fake_task2.cancel.assert_not_called() # Already done + assert len(session._guardrail_tasks) == 0 + + @pytest.mark.asyncio + async def test_normal_events_still_work_before_exception( + self, fake_model: FakeRealtimeModel, fake_agent + ): + """Test that normal events are processed before an exception occurs.""" + # Create normal event followed by exception + normal_event = RealtimeModelErrorEvent(error={"message": "Normal error"}) + exception_event = RealtimeModelExceptionEvent( + exception=ValueError("Fatal error"), context="Fatal context" + ) + + session = RealtimeSession(fake_model, fake_agent, None) + fake_model.set_next_events([normal_event, exception_event]) + + events_received = [] + + with pytest.raises(ValueError, match="Fatal error"): + async with session: + async for event in session: + events_received.append(event) + + # Should have received events before exception + assert len(events_received) >= 1 + # Look for the error event (might not be first due to history_updated + # being emitted initially) + error_events = [e for e in events_received if hasattr(e, "type") and e.type == "error"] + assert len(error_events) >= 1 + assert isinstance(error_events[0], RealtimeError) From f1d1d741072b09119f06003800812cceb25222a5 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 14 Jul 2025 13:30:41 -0400 Subject: [PATCH 213/337] Run make format --- examples/mcp/prompt_server/main.py | 2 +- src/agents/model_settings.py | 3 + src/agents/models/openai_responses.py | 2 +- tests/realtime/test_session.py | 82 +++++++++++++++------------ tests/realtime/test_tracing.py | 16 ++---- 5 files changed, 55 insertions(+), 50 deletions(-) diff --git a/examples/mcp/prompt_server/main.py b/examples/mcp/prompt_server/main.py index 8f2991fc0..4caa95d88 100644 --- a/examples/mcp/prompt_server/main.py +++ b/examples/mcp/prompt_server/main.py @@ -17,7 +17,7 @@ async def get_instructions_from_prompt(mcp_server: MCPServer, prompt_name: str, try: prompt_result = await mcp_server.get_prompt(prompt_name, kwargs) content = prompt_result.messages[0].content - if hasattr(content, 'text'): + if hasattr(content, "text"): instructions = content.text else: instructions = str(content) diff --git a/src/agents/model_settings.py b/src/agents/model_settings.py index 1e9edcbc6..edb692960 100644 --- a/src/agents/model_settings.py +++ b/src/agents/model_settings.py @@ -42,15 +42,18 @@ def validate_from_none(value: None) -> _Omit: serialization=core_schema.plain_serializer_function_ser_schema(lambda instance: None), ) + @dataclass class MCPToolChoice: server_label: str name: str + Omit = Annotated[_Omit, _OmitTypeAnnotation] Headers: TypeAlias = Mapping[str, Union[str, Omit]] ToolChoice: TypeAlias = Union[Literal["auto", "required", "none"], str, MCPToolChoice, None] + @dataclass class ModelSettings: """Settings to use when calling an LLM. diff --git a/src/agents/models/openai_responses.py b/src/agents/models/openai_responses.py index d25613aee..76c67903c 100644 --- a/src/agents/models/openai_responses.py +++ b/src/agents/models/openai_responses.py @@ -343,7 +343,7 @@ def convert_tool_choice( elif tool_choice == "mcp": # Note that this is still here for backwards compatibility, # but migrating to MCPToolChoice is recommended. - return { "type": "mcp" } # type: ignore [typeddict-item] + return {"type": "mcp"} # type: ignore [typeddict-item] else: return { "type": "function", diff --git a/tests/realtime/test_session.py b/tests/realtime/test_session.py index 2cd71b023..f6bd60064 100644 --- a/tests/realtime/test_session.py +++ b/tests/realtime/test_session.py @@ -974,27 +974,30 @@ class TestGuardrailFunctionality: async def _wait_for_guardrail_tasks(self, session): """Wait for all pending guardrail tasks to complete.""" import asyncio + if session._guardrail_tasks: await asyncio.gather(*session._guardrail_tasks, return_exceptions=True) @pytest.fixture def triggered_guardrail(self): """Creates a guardrail that always triggers""" + def guardrail_func(context, agent, output): return GuardrailFunctionOutput( - output_info={"reason": "test trigger"}, - tripwire_triggered=True + output_info={"reason": "test trigger"}, tripwire_triggered=True ) + return OutputGuardrail(guardrail_function=guardrail_func, name="triggered_guardrail") @pytest.fixture def safe_guardrail(self): """Creates a guardrail that never triggers""" + def guardrail_func(context, agent, output): return GuardrailFunctionOutput( - output_info={"reason": "safe content"}, - tripwire_triggered=False + output_info={"reason": "safe content"}, tripwire_triggered=False ) + return OutputGuardrail(guardrail_function=guardrail_func, name="safe_guardrail") @pytest.mark.asyncio @@ -1004,7 +1007,7 @@ async def test_transcript_delta_triggers_guardrail_at_threshold( """Test that guardrails run when transcript delta reaches debounce threshold""" run_config: RealtimeRunConfig = { "output_guardrails": [triggered_guardrail], - "guardrails_settings": {"debounce_text_length": 10} + "guardrails_settings": {"debounce_text_length": 10}, } session = RealtimeSession(mock_model, mock_agent, None, run_config=run_config) @@ -1041,20 +1044,20 @@ async def test_transcript_delta_multiple_thresholds_same_item( """Test guardrails run at 1x, 2x, 3x thresholds for same item_id""" run_config: RealtimeRunConfig = { "output_guardrails": [triggered_guardrail], - "guardrails_settings": {"debounce_text_length": 5} + "guardrails_settings": {"debounce_text_length": 5}, } session = RealtimeSession(mock_model, mock_agent, None, run_config=run_config) # First delta - reaches 1x threshold (5 chars) - await session.on_event(RealtimeModelTranscriptDeltaEvent( - item_id="item_1", delta="12345", response_id="resp_1" - )) + await session.on_event( + RealtimeModelTranscriptDeltaEvent(item_id="item_1", delta="12345", response_id="resp_1") + ) # Second delta - reaches 2x threshold (10 chars total) - await session.on_event(RealtimeModelTranscriptDeltaEvent( - item_id="item_1", delta="67890", response_id="resp_1" - )) + await session.on_event( + RealtimeModelTranscriptDeltaEvent(item_id="item_1", delta="67890", response_id="resp_1") + ) # Wait for async guardrail tasks to complete await self._wait_for_guardrail_tasks(session) @@ -1070,28 +1073,32 @@ async def test_transcript_delta_different_items_tracked_separately( """Test that different item_ids are tracked separately for debouncing""" run_config: RealtimeRunConfig = { "output_guardrails": [safe_guardrail], - "guardrails_settings": {"debounce_text_length": 10} + "guardrails_settings": {"debounce_text_length": 10}, } session = RealtimeSession(mock_model, mock_agent, None, run_config=run_config) # Add text to item_1 (8 chars - below threshold) - await session.on_event(RealtimeModelTranscriptDeltaEvent( - item_id="item_1", delta="12345678", response_id="resp_1" - )) + await session.on_event( + RealtimeModelTranscriptDeltaEvent( + item_id="item_1", delta="12345678", response_id="resp_1" + ) + ) # Add text to item_2 (8 chars - below threshold) - await session.on_event(RealtimeModelTranscriptDeltaEvent( - item_id="item_2", delta="abcdefgh", response_id="resp_2" - )) + await session.on_event( + RealtimeModelTranscriptDeltaEvent( + item_id="item_2", delta="abcdefgh", response_id="resp_2" + ) + ) # Neither should trigger guardrails yet assert mock_model.interrupts_called == 0 # Add more text to item_1 (total 12 chars - above threshold) - await session.on_event(RealtimeModelTranscriptDeltaEvent( - item_id="item_1", delta="90ab", response_id="resp_1" - )) + await session.on_event( + RealtimeModelTranscriptDeltaEvent(item_id="item_1", delta="90ab", response_id="resp_1") + ) # item_1 should have triggered guardrail run (but not interrupted since safe) assert session._item_guardrail_run_counts["item_1"] == 1 @@ -1107,15 +1114,17 @@ async def test_turn_ended_clears_guardrail_state( """Test that turn_ended event clears guardrail state for next turn""" run_config: RealtimeRunConfig = { "output_guardrails": [triggered_guardrail], - "guardrails_settings": {"debounce_text_length": 5} + "guardrails_settings": {"debounce_text_length": 5}, } session = RealtimeSession(mock_model, mock_agent, None, run_config=run_config) # Trigger guardrail - await session.on_event(RealtimeModelTranscriptDeltaEvent( - item_id="item_1", delta="trigger", response_id="resp_1" - )) + await session.on_event( + RealtimeModelTranscriptDeltaEvent( + item_id="item_1", delta="trigger", response_id="resp_1" + ) + ) # Wait for async guardrail tasks to complete await self._wait_for_guardrail_tasks(session) @@ -1132,16 +1141,13 @@ async def test_turn_ended_clears_guardrail_state( assert len(session._item_guardrail_run_counts) == 0 @pytest.mark.asyncio - async def test_multiple_guardrails_all_triggered( - self, mock_model, mock_agent - ): + async def test_multiple_guardrails_all_triggered(self, mock_model, mock_agent): """Test that all triggered guardrails are included in the event""" + def create_triggered_guardrail(name): def guardrail_func(context, agent, output): - return GuardrailFunctionOutput( - output_info={"name": name}, - tripwire_triggered=True - ) + return GuardrailFunctionOutput(output_info={"name": name}, tripwire_triggered=True) + return OutputGuardrail(guardrail_function=guardrail_func, name=name) guardrail1 = create_triggered_guardrail("guardrail_1") @@ -1149,14 +1155,16 @@ def guardrail_func(context, agent, output): run_config: RealtimeRunConfig = { "output_guardrails": [guardrail1, guardrail2], - "guardrails_settings": {"debounce_text_length": 5} + "guardrails_settings": {"debounce_text_length": 5}, } session = RealtimeSession(mock_model, mock_agent, None, run_config=run_config) - await session.on_event(RealtimeModelTranscriptDeltaEvent( - item_id="item_1", delta="trigger", response_id="resp_1" - )) + await session.on_event( + RealtimeModelTranscriptDeltaEvent( + item_id="item_1", delta="trigger", response_id="resp_1" + ) + ) # Wait for async guardrail tasks to complete await self._wait_for_guardrail_tasks(session) diff --git a/tests/realtime/test_tracing.py b/tests/realtime/test_tracing.py index 456ae125f..7fb2594a9 100644 --- a/tests/realtime/test_tracing.py +++ b/tests/realtime/test_tracing.py @@ -222,27 +222,24 @@ async def test_tracing_disabled_prevents_tracing(self, mock_websocket): # Create a test agent and runner with tracing disabled agent = RealtimeAgent(name="test_agent", instructions="test") - runner = RealtimeRunner( - starting_agent=agent, - config={"tracing_disabled": True} - ) + runner = RealtimeRunner(starting_agent=agent, config={"tracing_disabled": True}) # Test the _get_model_settings method directly since that's where the logic is model_settings = await runner._get_model_settings( agent=agent, disable_tracing=True, # This should come from config["tracing_disabled"] initial_settings=None, - overrides=None + overrides=None, ) # When tracing is disabled, model settings should have tracing=None assert model_settings["tracing"] is None # Also test that the runner passes disable_tracing=True correctly - with patch.object(runner, '_get_model_settings') as mock_get_settings: + with patch.object(runner, "_get_model_settings") as mock_get_settings: mock_get_settings.return_value = {"tracing": None} - with patch('agents.realtime.session.RealtimeSession') as mock_session_class: + with patch("agents.realtime.session.RealtimeSession") as mock_session_class: mock_session = AsyncMock() mock_session_class.return_value = mock_session @@ -250,8 +247,5 @@ async def test_tracing_disabled_prevents_tracing(self, mock_websocket): # Verify that _get_model_settings was called with disable_tracing=True mock_get_settings.assert_called_once_with( - agent=agent, - disable_tracing=True, - initial_settings=None, - overrides=None + agent=agent, disable_tracing=True, initial_settings=None, overrides=None ) From 49f087cd28687ed30454eb945efe174b2a9a92a0 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 14 Jul 2025 13:31:41 -0400 Subject: [PATCH 214/337] Realtime: forward exceptions from transport layer --- src/agents/realtime/config.py | 1 + src/agents/realtime/model_events.py | 11 + src/agents/realtime/openai_realtime.py | 126 +++++++---- src/agents/realtime/session.py | 29 ++- tests/realtime/test_openai_realtime.py | 33 ++- tests/test_session_exceptions.py | 300 +++++++++++++++++++++++++ 6 files changed, 438 insertions(+), 62 deletions(-) create mode 100644 tests/test_session_exceptions.py diff --git a/src/agents/realtime/config.py b/src/agents/realtime/config.py index ece72e755..9333a9cca 100644 --- a/src/agents/realtime/config.py +++ b/src/agents/realtime/config.py @@ -29,6 +29,7 @@ class RealtimeClientMessage(TypedDict): type: str # explicitly required other_data: NotRequired[dict[str, Any]] + """Merged into the message body.""" class RealtimeUserInputText(TypedDict): diff --git a/src/agents/realtime/model_events.py b/src/agents/realtime/model_events.py index a9769cebd..de1ad5f54 100644 --- a/src/agents/realtime/model_events.py +++ b/src/agents/realtime/model_events.py @@ -130,6 +130,16 @@ class RealtimeModelOtherEvent: type: Literal["other"] = "other" +@dataclass +class RealtimeModelExceptionEvent: + """Exception occurred during model operation.""" + + exception: Exception + context: str | None = None + + type: Literal["exception"] = "exception" + + # TODO (rm) Add usage events @@ -147,4 +157,5 @@ class RealtimeModelOtherEvent: RealtimeModelTurnStartedEvent, RealtimeModelTurnEndedEvent, RealtimeModelOtherEvent, + RealtimeModelExceptionEvent, ] diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 797753242..e239fd003 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -39,6 +39,7 @@ RealtimeModelAudioInterruptedEvent, RealtimeModelErrorEvent, RealtimeModelEvent, + RealtimeModelExceptionEvent, RealtimeModelInputAudioTranscriptionCompletedEvent, RealtimeModelItemDeletedEvent, RealtimeModelItemUpdatedEvent, @@ -130,48 +131,84 @@ async def _listen_for_messages(self): try: async for message in self._websocket: - parsed = json.loads(message) - await self._handle_ws_event(parsed) + try: + parsed = json.loads(message) + await self._handle_ws_event(parsed) + except json.JSONDecodeError as e: + await self._emit_event( + RealtimeModelExceptionEvent( + exception=e, context="Failed to parse WebSocket message as JSON" + ) + ) + except Exception as e: + await self._emit_event( + RealtimeModelExceptionEvent( + exception=e, context="Error handling WebSocket event" + ) + ) - except websockets.exceptions.ConnectionClosed: - # TODO connection closed handling (event, cleanup) - logger.warning("WebSocket connection closed") + except websockets.exceptions.ConnectionClosedOK: + # Normal connection closure - no exception event needed + logger.info("WebSocket connection closed normally") + except websockets.exceptions.ConnectionClosed as e: + await self._emit_event( + RealtimeModelExceptionEvent( + exception=e, context="WebSocket connection closed unexpectedly" + ) + ) except Exception as e: - logger.error(f"WebSocket error: {e}") + await self._emit_event( + RealtimeModelExceptionEvent( + exception=e, context="WebSocket error in message listener" + ) + ) async def send_event(self, event: RealtimeClientMessage) -> None: """Send an event to the model.""" assert self._websocket is not None, "Not connected" - converted_event = { - "type": event["type"], - } - converted_event.update(event.get("other_data", {})) + try: + converted_event = { + "type": event["type"], + } - await self._websocket.send(json.dumps(converted_event)) + converted_event.update(event.get("other_data", {})) + + await self._websocket.send(json.dumps(converted_event)) + except Exception as e: + await self._emit_event( + RealtimeModelExceptionEvent( + exception=e, context=f"Failed to send event: {event.get('type', 'unknown')}" + ) + ) async def send_message( self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None ) -> None: """Send a message to the model.""" - message = ( - message - if isinstance(message, dict) - else { - "type": "message", - "role": "user", - "content": [{"type": "input_text", "text": message}], + try: + message = ( + message + if isinstance(message, dict) + else { + "type": "message", + "role": "user", + "content": [{"type": "input_text", "text": message}], + } + ) + other_data = { + "item": message, } - ) - other_data = { - "item": message, - } - if other_event_data: - other_data.update(other_event_data) + if other_event_data: + other_data.update(other_event_data) - await self.send_event({"type": "conversation.item.create", "other_data": other_data}) + await self.send_event({"type": "conversation.item.create", "other_data": other_data}) - await self.send_event({"type": "response.create"}) + await self.send_event({"type": "response.create"}) + except Exception as e: + await self._emit_event( + RealtimeModelExceptionEvent(exception=e, context="Failed to send message") + ) async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: """Send a raw audio chunk to the model. @@ -182,17 +219,23 @@ async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: detection, this can be used to indicate the turn is completed. """ assert self._websocket is not None, "Not connected" - base64_audio = base64.b64encode(audio).decode("utf-8") - await self.send_event( - { - "type": "input_audio_buffer.append", - "other_data": { - "audio": base64_audio, - }, - } - ) - if commit: - await self.send_event({"type": "input_audio_buffer.commit"}) + + try: + base64_audio = base64.b64encode(audio).decode("utf-8") + await self.send_event( + { + "type": "input_audio_buffer.append", + "other_data": { + "audio": base64_audio, + }, + } + ) + if commit: + await self.send_event({"type": "input_audio_buffer.commit"}) + except Exception as e: + await self._emit_event( + RealtimeModelExceptionEvent(exception=e, context="Failed to send audio") + ) async def send_tool_output( self, tool_call: RealtimeModelToolCallEvent, output: str, start_response: bool @@ -342,8 +385,13 @@ async def _handle_ws_event(self, event: dict[str, Any]): OpenAIRealtimeServerEvent ).validate_python(event) except Exception as e: - logger.error(f"Invalid event: {event} - {e}") - # await self._emit_event(RealtimeModelErrorEvent(error=f"Invalid event: {event} - {e}")) + event_type = event.get("type", "unknown") if isinstance(event, dict) else "unknown" + await self._emit_event( + RealtimeModelExceptionEvent( + exception=e, + context=f"Failed to validate server event: {event_type}", + ) + ) return if parsed.type == "response.audio.delta": diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index 8c909fd07..ce8b7d705 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -84,6 +84,7 @@ def __init__( self._run_config = run_config or {} self._event_queue: asyncio.Queue[RealtimeSessionEvent] = asyncio.Queue() self._closed = False + self._stored_exception: Exception | None = None # Guardrails state tracking self._interrupted_by_guardrail = False @@ -130,6 +131,12 @@ async def __aiter__(self) -> AsyncIterator[RealtimeSessionEvent]: """Iterate over events from the session.""" while not self._closed: try: + # Check if there's a stored exception to raise + if self._stored_exception is not None: + # Clean up resources before raising + await self._cleanup() + raise self._stored_exception + event = await self._event_queue.get() yield event except asyncio.CancelledError: @@ -137,10 +144,7 @@ async def __aiter__(self) -> AsyncIterator[RealtimeSessionEvent]: async def close(self) -> None: """Close the session.""" - self._closed = True - self._cleanup_guardrail_tasks() - self._model.remove_listener(self) - await self._model.close() + await self._cleanup() async def send_message(self, message: RealtimeUserInput) -> None: """Send a message to the model.""" @@ -228,6 +232,9 @@ async def on_event(self, event: RealtimeModelEvent) -> None: info=self._event_info, ) ) + elif event.type == "exception": + # Store the exception to be raised in __aiter__ + self._stored_exception = event.exception elif event.type == "other": pass else: @@ -403,3 +410,17 @@ def _cleanup_guardrail_tasks(self) -> None: if not task.done(): task.cancel() self._guardrail_tasks.clear() + + async def _cleanup(self) -> None: + """Clean up all resources and mark session as closed.""" + # Cancel and cleanup guardrail tasks + self._cleanup_guardrail_tasks() + + # Remove ourselves as a listener + self._model.remove_listener(self) + + # Close the model connection + await self._model.close() + + # Mark as closed + self._closed = True diff --git a/tests/realtime/test_openai_realtime.py b/tests/realtime/test_openai_realtime.py index 9fe2f9acb..7cd9a5c30 100644 --- a/tests/realtime/test_openai_realtime.py +++ b/tests/realtime/test_openai_realtime.py @@ -174,39 +174,34 @@ class TestEventHandlingRobustness(TestOpenAIRealtimeWebSocketModel): @pytest.mark.asyncio async def test_handle_malformed_json_logs_error_continues(self, model): - """Test that malformed JSON is logged as error but doesn't crash.""" + """Test that malformed JSON emits exception event but doesn't crash.""" mock_listener = AsyncMock() model.add_listener(mock_listener) # Malformed JSON should not crash the handler - with patch("agents.realtime.openai_realtime.logger") as mock_logger: - await model._handle_ws_event("invalid json {") + await model._handle_ws_event("invalid json {") - # Should log error but not crash - mock_logger.error.assert_called_once() - assert "Invalid event" in mock_logger.error.call_args[0][0] - - # Should not emit any events to listeners - mock_listener.on_event.assert_not_called() + # Should emit exception event to listeners + mock_listener.on_event.assert_called_once() + exception_event = mock_listener.on_event.call_args[0][0] + assert exception_event.type == "exception" + assert "Failed to validate server event: unknown" in exception_event.context @pytest.mark.asyncio async def test_handle_invalid_event_schema_logs_error(self, model): - """Test that events with invalid schema are logged but don't crash.""" + """Test that events with invalid schema emit exception events but don't crash.""" mock_listener = AsyncMock() model.add_listener(mock_listener) invalid_event = {"type": "response.audio.delta"} # Missing required fields - with patch("agents.realtime.openai_realtime.logger") as mock_logger: - await model._handle_ws_event(invalid_event) + await model._handle_ws_event(invalid_event) - # Should log validation error - mock_logger.error.assert_called_once() - error_msg = mock_logger.error.call_args[0][0] - assert "Invalid event" in error_msg - - # Should not emit events to listeners - mock_listener.on_event.assert_not_called() + # Should emit exception event to listeners + mock_listener.on_event.assert_called_once() + exception_event = mock_listener.on_event.call_args[0][0] + assert exception_event.type == "exception" + assert "Failed to validate server event: response.audio.delta" in exception_event.context @pytest.mark.asyncio async def test_handle_unknown_event_type_ignored(self, model): diff --git a/tests/test_session_exceptions.py b/tests/test_session_exceptions.py new file mode 100644 index 000000000..c49c179aa --- /dev/null +++ b/tests/test_session_exceptions.py @@ -0,0 +1,300 @@ +from __future__ import annotations + +import asyncio +import json +from typing import Any +from unittest.mock import AsyncMock, Mock + +import pytest +import websockets.exceptions + +from agents.realtime.events import RealtimeError +from agents.realtime.model import RealtimeModel, RealtimeModelConfig, RealtimeModelListener +from agents.realtime.model_events import ( + RealtimeModelErrorEvent, + RealtimeModelEvent, + RealtimeModelExceptionEvent, +) +from agents.realtime.session import RealtimeSession + + +class FakeRealtimeModel(RealtimeModel): + """Fake model for testing that forwards events to listeners.""" + + def __init__(self): + self._listeners: list[RealtimeModelListener] = [] + self._events_to_send: list[RealtimeModelEvent] = [] + self._is_connected = False + self._send_task: asyncio.Task[None] | None = None + + def set_next_events(self, events: list[RealtimeModelEvent]) -> None: + """Set events to be sent to listeners.""" + self._events_to_send = events.copy() + + async def connect(self, options: RealtimeModelConfig) -> None: + """Fake connection that starts sending events.""" + self._is_connected = True + self._send_task = asyncio.create_task(self._send_events()) + + async def _send_events(self) -> None: + """Send queued events to all listeners.""" + for event in self._events_to_send: + await asyncio.sleep(0.001) # Small delay to simulate async behavior + for listener in self._listeners: + await listener.on_event(event) + + def add_listener(self, listener: RealtimeModelListener) -> None: + """Add a listener.""" + self._listeners.append(listener) + + def remove_listener(self, listener: RealtimeModelListener) -> None: + """Remove a listener.""" + if listener in self._listeners: + self._listeners.remove(listener) + + async def close(self) -> None: + """Close the fake model.""" + self._is_connected = False + if self._send_task and not self._send_task.done(): + self._send_task.cancel() + try: + await self._send_task + except asyncio.CancelledError: + pass + + async def send_message( + self, message: Any, other_event_data: dict[str, Any] | None = None + ) -> None: + """Fake send message.""" + pass + + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Fake send audio.""" + pass + + async def send_event(self, event: Any) -> None: + """Fake send event.""" + pass + + async def send_tool_output(self, tool_call: Any, output: str, start_response: bool) -> None: + """Fake send tool output.""" + pass + + async def interrupt(self) -> None: + """Fake interrupt.""" + pass + + +@pytest.fixture +def fake_agent(): + """Create a fake agent for testing.""" + agent = Mock() + agent.get_all_tools = AsyncMock(return_value=[]) + return agent + + +@pytest.fixture +def fake_model(): + """Create a fake model for testing.""" + return FakeRealtimeModel() + + +class TestSessionExceptions: + """Test exception handling in RealtimeSession.""" + + @pytest.mark.asyncio + async def test_end_to_end_exception_propagation_and_cleanup( + self, fake_model: FakeRealtimeModel, fake_agent + ): + """Test that exceptions are stored, trigger cleanup, and are raised in __aiter__.""" + # Create test exception + test_exception = ValueError("Test error") + exception_event = RealtimeModelExceptionEvent( + exception=test_exception, context="Test context" + ) + + # Set up session + session = RealtimeSession(fake_model, fake_agent, None) + + # Set events to send + fake_model.set_next_events([exception_event]) + + # Start session + async with session: + # Try to iterate and expect exception + with pytest.raises(ValueError, match="Test error"): + async for _event in session: + pass # Should never reach here + + # Verify cleanup occurred + assert session._closed is True + assert session._stored_exception == test_exception + assert fake_model._is_connected is False + assert len(fake_model._listeners) == 0 + + @pytest.mark.asyncio + async def test_websocket_connection_closure_type_distinction( + self, fake_model: FakeRealtimeModel, fake_agent + ): + """Test different WebSocket closure types generate appropriate events.""" + # Test ConnectionClosed (should create exception event) + error_closure = websockets.exceptions.ConnectionClosed(None, None) + error_event = RealtimeModelExceptionEvent( + exception=error_closure, context="WebSocket connection closed unexpectedly" + ) + + session = RealtimeSession(fake_model, fake_agent, None) + fake_model.set_next_events([error_event]) + + with pytest.raises(websockets.exceptions.ConnectionClosed): + async with session: + async for _event in session: + pass + + # Verify error closure triggered cleanup + assert session._closed is True + assert isinstance(session._stored_exception, websockets.exceptions.ConnectionClosed) + + @pytest.mark.asyncio + async def test_json_parsing_error_handling(self, fake_model: FakeRealtimeModel, fake_agent): + """Test JSON parsing errors are properly handled and contextualized.""" + # Create JSON decode error + json_error = json.JSONDecodeError("Invalid JSON", "bad json", 0) + json_exception_event = RealtimeModelExceptionEvent( + exception=json_error, context="Failed to parse WebSocket message as JSON" + ) + + session = RealtimeSession(fake_model, fake_agent, None) + fake_model.set_next_events([json_exception_event]) + + with pytest.raises(json.JSONDecodeError): + async with session: + async for _event in session: + pass + + # Verify context is preserved + assert session._stored_exception == json_error + assert session._closed is True + + @pytest.mark.asyncio + async def test_exception_context_preservation(self, fake_model: FakeRealtimeModel, fake_agent): + """Test that exception context information is preserved through the handling process.""" + test_contexts = [ + ("Failed to send audio", RuntimeError("Audio encoding failed")), + ("WebSocket error in message listener", ConnectionError("Network error")), + ("Failed to send event: response.create", OSError("Socket closed")), + ] + + for context, exception in test_contexts: + exception_event = RealtimeModelExceptionEvent(exception=exception, context=context) + + session = RealtimeSession(fake_model, fake_agent, None) + fake_model.set_next_events([exception_event]) + + with pytest.raises(type(exception)): + async with session: + async for _event in session: + pass + + # Verify the exact exception is stored + assert session._stored_exception == exception + assert session._closed is True + + # Reset for next iteration + fake_model._is_connected = False + fake_model._listeners.clear() + + @pytest.mark.asyncio + async def test_multiple_exception_handling_behavior( + self, fake_model: FakeRealtimeModel, fake_agent + ): + """Test behavior when multiple exceptions occur before consumption.""" + # Create multiple exceptions + first_exception = ValueError("First error") + second_exception = RuntimeError("Second error") + + first_event = RealtimeModelExceptionEvent( + exception=first_exception, context="First context" + ) + second_event = RealtimeModelExceptionEvent( + exception=second_exception, context="Second context" + ) + + session = RealtimeSession(fake_model, fake_agent, None) + fake_model.set_next_events([first_event, second_event]) + + # Start session and let events process + async with session: + # Give time for events to be processed + await asyncio.sleep(0.05) + + # The first exception should be stored (second should overwrite, but that's + # the current behavior). In practice, once an exception occurs, cleanup + # should prevent further processing + assert session._stored_exception is not None + assert session._closed is True + + @pytest.mark.asyncio + async def test_exception_during_guardrail_processing( + self, fake_model: FakeRealtimeModel, fake_agent + ): + """Test that exceptions don't interfere with guardrail task cleanup.""" + # Create exception event + test_exception = RuntimeError("Processing error") + exception_event = RealtimeModelExceptionEvent( + exception=test_exception, context="Processing failed" + ) + + session = RealtimeSession(fake_model, fake_agent, None) + + # Add some fake guardrail tasks + fake_task1 = Mock() + fake_task1.done.return_value = False + fake_task1.cancel = Mock() + + fake_task2 = Mock() + fake_task2.done.return_value = True + fake_task2.cancel = Mock() + + session._guardrail_tasks = {fake_task1, fake_task2} + + fake_model.set_next_events([exception_event]) + + with pytest.raises(RuntimeError, match="Processing error"): + async with session: + async for _event in session: + pass + + # Verify guardrail tasks were properly cleaned up + fake_task1.cancel.assert_called_once() + fake_task2.cancel.assert_not_called() # Already done + assert len(session._guardrail_tasks) == 0 + + @pytest.mark.asyncio + async def test_normal_events_still_work_before_exception( + self, fake_model: FakeRealtimeModel, fake_agent + ): + """Test that normal events are processed before an exception occurs.""" + # Create normal event followed by exception + normal_event = RealtimeModelErrorEvent(error={"message": "Normal error"}) + exception_event = RealtimeModelExceptionEvent( + exception=ValueError("Fatal error"), context="Fatal context" + ) + + session = RealtimeSession(fake_model, fake_agent, None) + fake_model.set_next_events([normal_event, exception_event]) + + events_received = [] + + with pytest.raises(ValueError, match="Fatal error"): + async with session: + async for event in session: + events_received.append(event) + + # Should have received events before exception + assert len(events_received) >= 1 + # Look for the error event (might not be first due to history_updated + # being emitted initially) + error_events = [e for e in events_received if hasattr(e, "type") and e.type == "error"] + assert len(error_events) >= 1 + assert isinstance(error_events[0], RealtimeError) From 9364bb09ceb3c31e454f583e45527f5611f015ef Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 14 Jul 2025 15:44:05 -0400 Subject: [PATCH 215/337] Realtime: update model to have a single send_event method --- src/agents/realtime/config.py | 36 ++--- src/agents/realtime/model.py | 39 +---- src/agents/realtime/model_events.py | 4 +- src/agents/realtime/model_inputs.py | 90 ++++++++++++ src/agents/realtime/openai_realtime.py | 192 +++++++++++++++---------- src/agents/realtime/session.py | 24 +++- src/agents/voice/models/openai_stt.py | 2 +- tests/realtime/test_session.py | 31 ++-- tests/realtime/test_tracing.py | 46 +++--- tests/voice/test_openai_stt.py | 4 +- 10 files changed, 295 insertions(+), 173 deletions(-) create mode 100644 src/agents/realtime/model_inputs.py diff --git a/src/agents/realtime/config.py b/src/agents/realtime/config.py index 9333a9cca..7f874cfb0 100644 --- a/src/agents/realtime/config.py +++ b/src/agents/realtime/config.py @@ -26,29 +26,17 @@ """The name of a realtime model.""" +RealtimeAudioFormat: TypeAlias = Union[Literal["pcm16", "g711_ulaw", "g711_alaw"], str] + + class RealtimeClientMessage(TypedDict): + """A raw message to be sent to the model.""" + type: str # explicitly required other_data: NotRequired[dict[str, Any]] """Merged into the message body.""" -class RealtimeUserInputText(TypedDict): - type: Literal["input_text"] - text: str - - -class RealtimeUserInputMessage(TypedDict): - type: Literal["message"] - role: Literal["user"] - content: list[RealtimeUserInputText] - - -RealtimeUserInput: TypeAlias = Union[str, RealtimeUserInputMessage] - - -RealtimeAudioFormat: TypeAlias = Union[Literal["pcm16", "g711_ulaw", "g711_alaw"], str] - - class RealtimeInputAudioTranscriptionConfig(TypedDict): language: NotRequired[str] model: NotRequired[Literal["gpt-4o-transcribe", "gpt-4o-mini-transcribe", "whisper-1"] | str] @@ -124,3 +112,17 @@ class RealtimeRunConfig(TypedDict): """Whether tracing is disabled for this run.""" # TODO (rm) Add history audio storage config + + +class RealtimeUserInputText(TypedDict): + type: Literal["input_text"] + text: str + + +class RealtimeUserInputMessage(TypedDict): + type: Literal["message"] + role: Literal["user"] + content: list[RealtimeUserInputText] + + +RealtimeUserInput: TypeAlias = Union[str, RealtimeUserInputMessage] diff --git a/src/agents/realtime/model.py b/src/agents/realtime/model.py index abb3a1eac..e279ecc95 100644 --- a/src/agents/realtime/model.py +++ b/src/agents/realtime/model.py @@ -1,17 +1,16 @@ from __future__ import annotations import abc -from typing import Any, Callable +from typing import Callable from typing_extensions import NotRequired, TypedDict from ..util._types import MaybeAwaitable from .config import ( - RealtimeClientMessage, RealtimeSessionModelSettings, - RealtimeUserInput, ) -from .model_events import RealtimeModelEvent, RealtimeModelToolCallEvent +from .model_events import RealtimeModelEvent +from .model_inputs import RealtimeModelSendEvent class RealtimeModelListener(abc.ABC): @@ -60,40 +59,10 @@ def remove_listener(self, listener: RealtimeModelListener) -> None: pass @abc.abstractmethod - async def send_event(self, event: RealtimeClientMessage) -> None: + async def send_event(self, event: RealtimeModelSendEvent) -> None: """Send an event to the model.""" pass - @abc.abstractmethod - async def send_message( - self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None - ) -> None: - """Send a message to the model.""" - pass - - @abc.abstractmethod - async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: - """Send a raw audio chunk to the model. - - Args: - audio: The audio data to send. - commit: Whether to commit the audio buffer to the model. If the model does not do turn - detection, this can be used to indicate the turn is completed. - """ - pass - - @abc.abstractmethod - async def send_tool_output( - self, tool_call: RealtimeModelToolCallEvent, output: str, start_response: bool - ) -> None: - """Send tool output to the model.""" - pass - - @abc.abstractmethod - async def interrupt(self) -> None: - """Interrupt the model. For example, could be triggered by a guardrail.""" - pass - @abc.abstractmethod async def close(self) -> None: """Close the session.""" diff --git a/src/agents/realtime/model_events.py b/src/agents/realtime/model_events.py index de1ad5f54..3a158ef4e 100644 --- a/src/agents/realtime/model_events.py +++ b/src/agents/realtime/model_events.py @@ -64,9 +64,7 @@ class RealtimeModelInputAudioTranscriptionCompletedEvent: item_id: str transcript: str - type: Literal["conversation.item.input_audio_transcription.completed"] = ( - "conversation.item.input_audio_transcription.completed" - ) + type: Literal["input_audio_transcription_completed"] = "input_audio_transcription_completed" @dataclass diff --git a/src/agents/realtime/model_inputs.py b/src/agents/realtime/model_inputs.py new file mode 100644 index 000000000..eb8e8220d --- /dev/null +++ b/src/agents/realtime/model_inputs.py @@ -0,0 +1,90 @@ +from __future__ import annotations + +from dataclasses import dataclass +from typing import Any, Literal, Union + +from typing_extensions import NotRequired, TypeAlias, TypedDict + +from .model_events import RealtimeModelToolCallEvent + + +class RealtimeModelRawClientMessage(TypedDict): + """A raw message to be sent to the model.""" + + type: str # explicitly required + other_data: NotRequired[dict[str, Any]] + """Merged into the message body.""" + + +class RealtimeModelInputTextContent(TypedDict): + """A piece of text to be sent to the model.""" + + type: Literal["input_text"] + text: str + + +class RealtimeModelUserInputMessage(TypedDict): + """A message to be sent to the model.""" + + type: Literal["message"] + role: Literal["user"] + content: list[RealtimeModelInputTextContent] + + +RealtimeModelUserInput: TypeAlias = Union[str, RealtimeModelUserInputMessage] +"""A user input to be sent to the model.""" + + +# Model messages + + +@dataclass +class RealtimeModelSendRawMessage: + """Send a raw message to the model.""" + + message: RealtimeModelRawClientMessage + """The message to send.""" + + +@dataclass +class RealtimeModelSendUserInput: + """Send a user input to the model.""" + + user_input: RealtimeModelUserInput + """The user input to send.""" + + +@dataclass +class RealtimeModelSendAudio: + """Send audio to the model.""" + + audio: bytes + commit: bool = False + + +@dataclass +class RealtimeModelSendToolOutput: + """Send tool output to the model.""" + + tool_call: RealtimeModelToolCallEvent + """The tool call to send.""" + + output: str + """The output to send.""" + + start_response: bool + """Whether to start a response.""" + + +@dataclass +class RealtimeModelSendInterrupt: + """Send an interrupt to the model.""" + + +RealtimeModelSendEvent: TypeAlias = Union[ + RealtimeModelSendRawMessage, + RealtimeModelSendUserInput, + RealtimeModelSendAudio, + RealtimeModelSendToolOutput, + RealtimeModelSendInterrupt, +] diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index e239fd003..b73ca8503 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -15,6 +15,7 @@ ) from openai.types.beta.realtime.response_audio_delta_event import ResponseAudioDeltaEvent from pydantic import TypeAdapter +from typing_extensions import assert_never from websockets.asyncio.client import ClientConnection from agents.util._types import MaybeAwaitable @@ -22,10 +23,8 @@ from ..exceptions import UserError from ..logger import logger from .config import ( - RealtimeClientMessage, RealtimeModelTracingConfig, RealtimeSessionModelSettings, - RealtimeUserInput, ) from .items import RealtimeMessageItem, RealtimeToolCallItem from .model import ( @@ -48,6 +47,14 @@ RealtimeModelTurnEndedEvent, RealtimeModelTurnStartedEvent, ) +from .model_inputs import ( + RealtimeModelSendAudio, + RealtimeModelSendEvent, + RealtimeModelSendInterrupt, + RealtimeModelSendRawMessage, + RealtimeModelSendToolOutput, + RealtimeModelSendUserInput, +) async def get_api_key(key: str | Callable[[], MaybeAwaitable[str]] | None) -> str | None: @@ -109,8 +116,13 @@ async def _send_tracing_config( ) -> None: """Update tracing configuration via session.update event.""" if tracing_config is not None: - await self.send_event( - {"type": "session.update", "other_data": {"session": {"tracing": tracing_config}}} + await self._send_raw_message( + RealtimeModelSendRawMessage( + message={ + "type": "session.update", + "other_data": {"session": {"tracing": tracing_config}}, + } + ) ) def add_listener(self, listener: RealtimeModelListener) -> None: @@ -163,113 +175,131 @@ async def _listen_for_messages(self): ) ) - async def send_event(self, event: RealtimeClientMessage) -> None: + async def send_event(self, event: RealtimeModelSendEvent) -> None: """Send an event to the model.""" + if isinstance(event, RealtimeModelSendRawMessage): + await self._send_raw_message(event) + elif isinstance(event, RealtimeModelSendUserInput): + await self._send_user_input(event) + elif isinstance(event, RealtimeModelSendAudio): + await self._send_audio(event) + elif isinstance(event, RealtimeModelSendToolOutput): + await self._send_tool_output(event) + elif isinstance(event, RealtimeModelSendInterrupt): + await self._send_interrupt(event) + else: + assert_never(event) + raise ValueError(f"Unknown event type: {type(event)}") + + async def _send_raw_message(self, event: RealtimeModelSendRawMessage) -> None: + """Send a raw message to the model.""" assert self._websocket is not None, "Not connected" try: converted_event = { - "type": event["type"], + "type": event.message["type"], } - converted_event.update(event.get("other_data", {})) + converted_event.update(event.message.get("other_data", {})) await self._websocket.send(json.dumps(converted_event)) except Exception as e: await self._emit_event( RealtimeModelExceptionEvent( - exception=e, context=f"Failed to send event: {event.get('type', 'unknown')}" + exception=e, + context=f"Failed to send event: {event.message.get('type', 'unknown')}", ) ) - async def send_message( - self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None - ) -> None: - """Send a message to the model.""" + async def _send_user_input(self, event: RealtimeModelSendUserInput) -> None: + """Send a user input to the model.""" try: message = ( - message - if isinstance(message, dict) + event.user_input + if isinstance(event.user_input, dict) else { "type": "message", "role": "user", - "content": [{"type": "input_text", "text": message}], + "content": [{"type": "input_text", "text": event.user_input}], } ) other_data = { "item": message, } - if other_event_data: - other_data.update(other_event_data) - - await self.send_event({"type": "conversation.item.create", "other_data": other_data}) - await self.send_event({"type": "response.create"}) + await self._send_raw_message( + RealtimeModelSendRawMessage( + message={"type": "conversation.item.create", "other_data": other_data} + ) + ) + await self._send_raw_message( + RealtimeModelSendRawMessage(message={"type": "response.create"}) + ) except Exception as e: await self._emit_event( RealtimeModelExceptionEvent(exception=e, context="Failed to send message") ) - async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: - """Send a raw audio chunk to the model. - - Args: - audio: The audio data to send. - commit: Whether to commit the audio buffer to the model. If the model does not do turn - detection, this can be used to indicate the turn is completed. - """ + async def _send_audio(self, event: RealtimeModelSendAudio) -> None: + """Send audio to the model.""" assert self._websocket is not None, "Not connected" try: - base64_audio = base64.b64encode(audio).decode("utf-8") - await self.send_event( - { - "type": "input_audio_buffer.append", - "other_data": { - "audio": base64_audio, - }, - } + base64_audio = base64.b64encode(event.audio).decode("utf-8") + await self._send_raw_message( + RealtimeModelSendRawMessage( + message={ + "type": "input_audio_buffer.append", + "other_data": { + "audio": base64_audio, + }, + } + ) ) - if commit: - await self.send_event({"type": "input_audio_buffer.commit"}) + if event.commit: + await self._send_raw_message( + RealtimeModelSendRawMessage(message={"type": "input_audio_buffer.commit"}) + ) except Exception as e: await self._emit_event( RealtimeModelExceptionEvent(exception=e, context="Failed to send audio") ) - async def send_tool_output( - self, tool_call: RealtimeModelToolCallEvent, output: str, start_response: bool - ) -> None: + async def _send_tool_output(self, event: RealtimeModelSendToolOutput) -> None: """Send tool output to the model.""" - await self.send_event( - { - "type": "conversation.item.create", - "other_data": { - "item": { - "type": "function_call_output", - "output": output, - "call_id": tool_call.id, + await self._send_raw_message( + RealtimeModelSendRawMessage( + message={ + "type": "conversation.item.create", + "other_data": { + "item": { + "type": "function_call_output", + "output": event.output, + "call_id": event.tool_call.id, + }, }, - }, - } + } + ) ) tool_item = RealtimeToolCallItem( - item_id=tool_call.id or "", - previous_item_id=tool_call.previous_item_id, + item_id=event.tool_call.id or "", + previous_item_id=event.tool_call.previous_item_id, type="function_call", status="completed", - arguments=tool_call.arguments, - name=tool_call.name, - output=output, + arguments=event.tool_call.arguments, + name=event.tool_call.name, + output=event.output, ) await self._emit_event(RealtimeModelItemUpdatedEvent(item=tool_item)) - if start_response: - await self.send_event({"type": "response.create"}) + if event.start_response: + await self._send_raw_message( + RealtimeModelSendRawMessage(message={"type": "response.create"}) + ) - async def interrupt(self) -> None: - """Interrupt the model.""" + async def _send_interrupt(self, event: RealtimeModelSendInterrupt) -> None: + """Send an interrupt to the model.""" if not self._current_item_id or not self._audio_start_time: return @@ -278,15 +308,17 @@ async def interrupt(self) -> None: elapsed_time_ms = (datetime.now() - self._audio_start_time).total_seconds() * 1000 if elapsed_time_ms > 0 and elapsed_time_ms < self._audio_length_ms: await self._emit_event(RealtimeModelAudioInterruptedEvent()) - await self.send_event( - { - "type": "conversation.item.truncate", - "other_data": { - "item_id": self._current_item_id, - "content_index": self._current_audio_content_index, - "audio_end_ms": elapsed_time_ms, - }, - } + await self._send_raw_message( + RealtimeModelSendRawMessage( + message={ + "type": "conversation.item.truncate", + "other_data": { + "item_id": self._current_item_id, + "content_index": self._current_audio_content_index, + "audio_end_ms": elapsed_time_ms, + }, + } + ) ) self._current_item_id = None @@ -376,7 +408,9 @@ async def close(self) -> None: async def _cancel_response(self) -> None: if self._ongoing_response: - await self.send_event({"type": "response.cancel"}) + await self._send_raw_message( + RealtimeModelSendRawMessage(message={"type": "response.cancel"}) + ) self._ongoing_response = False async def _handle_ws_event(self, event: dict[str, Any]): @@ -399,7 +433,7 @@ async def _handle_ws_event(self, event: dict[str, Any]): elif parsed.type == "response.audio.done": await self._emit_event(RealtimeModelAudioDoneEvent()) elif parsed.type == "input_audio_buffer.speech_started": - await self.interrupt() + await self._send_interrupt(RealtimeModelSendInterrupt()) elif parsed.type == "response.created": self._ongoing_response = True await self._emit_event(RealtimeModelTurnStartedEvent()) @@ -424,13 +458,15 @@ async def _handle_ws_event(self, event: dict[str, Any]): parsed.type == "conversation.item.input_audio_transcription.completed" or parsed.type == "conversation.item.truncated" ): - await self.send_event( - { - "type": "conversation.item.retrieve", - "other_data": { - "item_id": self._current_item_id, - }, - } + await self._send_raw_message( + RealtimeModelSendRawMessage( + message={ + "type": "conversation.item.retrieve", + "other_data": { + "item_id": self._current_item_id, + }, + } + ) ) if parsed.type == "conversation.item.input_audio_transcription.completed": await self._emit_event( diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index ce8b7d705..04ce09bea 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -36,6 +36,12 @@ RealtimeModelInputAudioTranscriptionCompletedEvent, RealtimeModelToolCallEvent, ) +from .model_inputs import ( + RealtimeModelSendAudio, + RealtimeModelSendInterrupt, + RealtimeModelSendToolOutput, + RealtimeModelSendUserInput, +) class RealtimeSession(RealtimeModelListener): @@ -148,15 +154,15 @@ async def close(self) -> None: async def send_message(self, message: RealtimeUserInput) -> None: """Send a message to the model.""" - await self._model.send_message(message) + await self._model.send_event(RealtimeModelSendUserInput(user_input=message)) async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: """Send a raw audio chunk to the model.""" - await self._model.send_audio(audio, commit=commit) + await self._model.send_event(RealtimeModelSendAudio(audio=audio, commit=commit)) async def interrupt(self) -> None: """Interrupt the model.""" - await self._model.interrupt() + await self._model.send_event(RealtimeModelSendInterrupt()) async def on_event(self, event: RealtimeModelEvent) -> None: await self._put_event(RealtimeRawModelEvent(data=event, info=self._event_info)) @@ -171,7 +177,7 @@ async def on_event(self, event: RealtimeModelEvent) -> None: await self._put_event(RealtimeAudioInterrupted(info=self._event_info)) elif event.type == "audio_done": await self._put_event(RealtimeAudioEnd(info=self._event_info)) - elif event.type == "conversation.item.input_audio_transcription.completed": + elif event.type == "input_audio_transcription_completed": self._history = RealtimeSession._get_new_history(self._history, event) await self._put_event( RealtimeHistoryUpdated(info=self._event_info, history=self._history) @@ -263,7 +269,9 @@ async def _handle_tool_call(self, event: RealtimeModelToolCallEvent) -> None: tool_context = ToolContext.from_agent_context(self._context_wrapper, event.call_id) result = await func_tool.on_invoke_tool(tool_context, event.arguments) - await self._model.send_tool_output(event, str(result), True) + await self._model.send_event(RealtimeModelSendToolOutput( + tool_call=event, output=str(result), start_response=True + )) await self._put_event( RealtimeToolEnd( @@ -367,11 +375,13 @@ async def _run_output_guardrails(self, text: str) -> bool: ) # Interrupt the model - await self._model.interrupt() + await self._model.send_event(RealtimeModelSendInterrupt()) # Send guardrail triggered message guardrail_names = [result.guardrail.get_name() for result in triggered_results] - await self._model.send_message(f"guardrail triggered: {', '.join(guardrail_names)}") + await self._model.send_event(RealtimeModelSendUserInput( + user_input=f"guardrail triggered: {', '.join(guardrail_names)}" + )) return True diff --git a/src/agents/voice/models/openai_stt.py b/src/agents/voice/models/openai_stt.py index 1ae4ea147..b1f1b6da7 100644 --- a/src/agents/voice/models/openai_stt.py +++ b/src/agents/voice/models/openai_stt.py @@ -226,7 +226,7 @@ async def _handle_events(self) -> None: break event_type = event.get("type", "unknown") - if event_type == "conversation.item.input_audio_transcription.completed": + if event_type == "input_audio_transcription_completed": transcript = cast(str, event.get("transcript", "")) if len(transcript) > 0: self._end_turn(transcript) diff --git a/tests/realtime/test_session.py b/tests/realtime/test_session.py index f6bd60064..4cee9e537 100644 --- a/tests/realtime/test_session.py +++ b/tests/realtime/test_session.py @@ -56,6 +56,8 @@ def __init__(self): self.listeners = [] self.connect_called = False self.close_called = False + self.sent_events = [] + # Legacy tracking for tests that haven't been updated yet self.sent_messages = [] self.sent_audio = [] self.sent_tool_outputs = [] @@ -72,19 +74,24 @@ def remove_listener(self, listener): self.listeners.remove(listener) async def send_event(self, event): - pass - - async def send_message(self, message, other_event_data=None): - self.sent_messages.append(message) - - async def send_audio(self, audio, commit=False): - self.sent_audio.append((audio, commit)) - - async def send_tool_output(self, tool_call, output, start_response=True): - self.sent_tool_outputs.append((tool_call, output, start_response)) + from agents.realtime.model_inputs import ( + RealtimeModelSendAudio, + RealtimeModelSendInterrupt, + RealtimeModelSendToolOutput, + RealtimeModelSendUserInput, + ) - async def interrupt(self): - self.interrupts_called += 1 + self.sent_events.append(event) + + # Update legacy tracking for compatibility + if isinstance(event, RealtimeModelSendUserInput): + self.sent_messages.append(event.user_input) + elif isinstance(event, RealtimeModelSendAudio): + self.sent_audio.append((event.audio, event.commit)) + elif isinstance(event, RealtimeModelSendToolOutput): + self.sent_tool_outputs.append((event.tool_call, event.output, event.start_response)) + elif isinstance(event, RealtimeModelSendInterrupt): + self.interrupts_called += 1 async def close(self): self.close_called = True diff --git a/tests/realtime/test_tracing.py b/tests/realtime/test_tracing.py index 7fb2594a9..3548829dd 100644 --- a/tests/realtime/test_tracing.py +++ b/tests/realtime/test_tracing.py @@ -95,12 +95,13 @@ async def async_websocket(*args, **kwargs): "session": {"id": "session_456"}, } - with patch.object(model, "send_event") as mock_send_event: + with patch.object(model, "_send_raw_message") as mock_send_raw_message: await model._handle_ws_event(session_created_event) # Should send session.update with tracing config - mock_send_event.assert_called_once_with( - { + from agents.realtime.model_inputs import RealtimeModelSendRawMessage + expected_event = RealtimeModelSendRawMessage( + message={ "type": "session.update", "other_data": { "session": { @@ -112,6 +113,7 @@ async def async_websocket(*args, **kwargs): }, } ) + mock_send_raw_message.assert_called_once_with(expected_event) @pytest.mark.asyncio async def test_send_tracing_config_auto_mode(self, model, mock_websocket): @@ -137,13 +139,18 @@ async def async_websocket(*args, **kwargs): "session": {"id": "session_456"}, } - with patch.object(model, "send_event") as mock_send_event: + with patch.object(model, "_send_raw_message") as mock_send_raw_message: await model._handle_ws_event(session_created_event) # Should send session.update with "auto" - mock_send_event.assert_called_once_with( - {"type": "session.update", "other_data": {"session": {"tracing": "auto"}}} + from agents.realtime.model_inputs import RealtimeModelSendRawMessage + expected_event = RealtimeModelSendRawMessage( + message={ + "type": "session.update", + "other_data": {"session": {"tracing": "auto"}}, + } ) + mock_send_raw_message.assert_called_once_with(expected_event) @pytest.mark.asyncio async def test_tracing_config_none_skips_session_update(self, model, mock_websocket): @@ -196,22 +203,25 @@ async def async_websocket(*args, **kwargs): "session": {"id": "session_456"}, } - with patch.object(model, "send_event") as mock_send_event: + with patch.object(model, "_send_raw_message") as mock_send_raw_message: await model._handle_ws_event(session_created_event) # Should send session.update with complete tracing config including metadata - expected_call = { - "type": "session.update", - "other_data": { - "session": { - "tracing": { - "workflow_name": "complex_workflow", - "metadata": complex_metadata, + from agents.realtime.model_inputs import RealtimeModelSendRawMessage + expected_event = RealtimeModelSendRawMessage( + message={ + "type": "session.update", + "other_data": { + "session": { + "tracing": { + "workflow_name": "complex_workflow", + "metadata": complex_metadata, + } } - } - }, - } - mock_send_event.assert_called_once_with(expected_call) + }, + } + ) + mock_send_raw_message.assert_called_once_with(expected_event) @pytest.mark.asyncio async def test_tracing_disabled_prevents_tracing(self, mock_websocket): diff --git a/tests/voice/test_openai_stt.py b/tests/voice/test_openai_stt.py index 89b5cca70..ecc41f2e2 100644 --- a/tests/voice/test_openai_stt.py +++ b/tests/voice/test_openai_stt.py @@ -186,7 +186,7 @@ async def test_stream_audio_sends_correct_json(): @pytest.mark.asyncio async def test_transcription_event_puts_output_in_queue(): """ - Test that a 'conversation.item.input_audio_transcription.completed' event + Test that a 'input_audio_transcription_completed' event yields a transcript from transcribe_turns(). """ mock_ws = create_mock_websocket( @@ -196,7 +196,7 @@ async def test_transcription_event_puts_output_in_queue(): # Once configured, we mock a completed transcription event: json.dumps( { - "type": "conversation.item.input_audio_transcription.completed", + "type": "input_audio_transcription_completed", "transcript": "Hello world!", } ), From a59987649def4bb1ec42ef1938a8e7a28099849a Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 14 Jul 2025 16:54:28 -0400 Subject: [PATCH 216/337] Realtime: send session.update event at connection --- examples/realtime/demo.py | 78 +++++----- examples/realtime/ui.py | 5 +- src/agents/realtime/openai_realtime.py | 192 +++++++++++++++++-------- src/agents/realtime/session.py | 16 ++- 4 files changed, 175 insertions(+), 116 deletions(-) diff --git a/examples/realtime/demo.py b/examples/realtime/demo.py index 61834a4e5..7b98850b2 100644 --- a/examples/realtime/demo.py +++ b/examples/realtime/demo.py @@ -58,55 +58,45 @@ async def run(self) -> None: self.session = session self.ui.set_is_connected(True) async for event in session: - await self.on_event(event) + await self._on_event(event) + print("done") # Wait for UI task to complete when session ends await ui_task async def on_audio_recorded(self, audio_bytes: bytes) -> None: - """Called when audio is recorded by the UI.""" - try: - # Send the audio to the session - assert self.session is not None - await self.session.send_audio(audio_bytes) - except Exception as e: - self.ui.log_message(f"Error sending audio: {e}") - - async def on_event(self, event: RealtimeSessionEvent) -> None: - # Display event in the UI - try: - if event.type == "agent_start": - self.ui.add_transcript(f"Agent started: {event.agent.name}") - elif event.type == "agent_end": - self.ui.add_transcript(f"Agent ended: {event.agent.name}") - elif event.type == "handoff": - self.ui.add_transcript( - f"Handoff from {event.from_agent.name} to {event.to_agent.name}" - ) - elif event.type == "tool_start": - self.ui.add_transcript(f"Tool started: {event.tool.name}") - elif event.type == "tool_end": - self.ui.add_transcript(f"Tool ended: {event.tool.name}; output: {event.output}") - elif event.type == "audio_end": - self.ui.add_transcript("Audio ended") - elif event.type == "audio": - np_audio = np.frombuffer(event.audio.data, dtype=np.int16) - self.ui.play_audio(np_audio) - elif event.type == "audio_interrupted": - self.ui.add_transcript("Audio interrupted") - elif event.type == "error": - self.ui.add_transcript(f"Error: {event.error}") - elif event.type == "history_updated": - pass - elif event.type == "history_added": - pass - elif event.type == "raw_model_event": - self.ui.log_message(f"Raw model event: {event.data}") - else: - self.ui.log_message(f"Unknown event type: {event.type}") - except Exception as e: - # This can happen if the UI has already exited - self.ui.log_message(f"Event handling error: {str(e)}") + # Send the audio to the session + assert self.session is not None + await self.session.send_audio(audio_bytes) + + async def _on_event(self, event: RealtimeSessionEvent) -> None: + if event.type == "agent_start": + self.ui.add_transcript(f"Agent started: {event.agent.name}") + elif event.type == "agent_end": + self.ui.add_transcript(f"Agent ended: {event.agent.name}") + elif event.type == "handoff": + self.ui.add_transcript(f"Handoff from {event.from_agent.name} to {event.to_agent.name}") + elif event.type == "tool_start": + self.ui.add_transcript(f"Tool started: {event.tool.name}") + elif event.type == "tool_end": + self.ui.add_transcript(f"Tool ended: {event.tool.name}; output: {event.output}") + elif event.type == "audio_end": + self.ui.add_transcript("Audio ended") + elif event.type == "audio": + np_audio = np.frombuffer(event.audio.data, dtype=np.int16) + self.ui.play_audio(np_audio) + elif event.type == "audio_interrupted": + self.ui.add_transcript("Audio interrupted") + elif event.type == "error": + self.ui.add_transcript(f"Error: {event.error}") + elif event.type == "history_updated": + pass + elif event.type == "history_added": + pass + elif event.type == "raw_model_event": + self.ui.log_message(f"Raw model event: {event.data}") + else: + self.ui.log_message(f"Unknown event type: {event.type}") if __name__ == "__main__": diff --git a/examples/realtime/ui.py b/examples/realtime/ui.py index 1ba055835..51a1fed41 100644 --- a/examples/realtime/ui.py +++ b/examples/realtime/ui.py @@ -239,10 +239,7 @@ async def capture_audio(self) -> None: # Call audio callback if set if self.audio_callback: - try: - await self.audio_callback(audio_bytes) - except Exception as e: - self.log_message(f"Audio callback error: {e}") + await self.audio_callback(audio_bytes) # Yield control back to event loop await asyncio.sleep(0) diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index b73ca8503..e50af67ad 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -8,16 +8,22 @@ from datetime import datetime from typing import Any, Callable, Literal +import pydantic import websockets from openai.types.beta.realtime.conversation_item import ConversationItem from openai.types.beta.realtime.realtime_server_event import ( RealtimeServerEvent as OpenAIRealtimeServerEvent, ) from openai.types.beta.realtime.response_audio_delta_event import ResponseAudioDeltaEvent +from openai.types.beta.realtime.session_update_event import ( + Session as OpenAISessionObject, + SessionTool as OpenAISessionTool, +) from pydantic import TypeAdapter from typing_extensions import assert_never from websockets.asyncio.client import ClientConnection +from agents.tool import FunctionTool, Tool from agents.util._types import MaybeAwaitable from ..exceptions import UserError @@ -56,6 +62,17 @@ RealtimeModelSendUserInput, ) +DEFAULT_MODEL_SETTINGS: RealtimeSessionModelSettings = { + "voice": "ash", + "modalities": ["text", "audio"], + "input_audio_format": "pcm16", + "output_audio_format": "pcm16", + "input_audio_transcription": { + "model": "gpt-4o-mini-transcribe", + }, + "turn_detection": {"type": "semantic_vad"}, +} + async def get_api_key(key: str | Callable[[], MaybeAwaitable[str]] | None) -> str | None: if isinstance(key, str): @@ -110,6 +127,7 @@ async def connect(self, options: RealtimeModelConfig) -> None: } self._websocket = await websockets.connect(url, additional_headers=headers) self._websocket_task = asyncio.create_task(self._listen_for_messages()) + await self._update_session_config(model_settings) async def _send_tracing_config( self, tracing_config: RealtimeModelTracingConfig | Literal["auto"] | None @@ -127,11 +145,13 @@ async def _send_tracing_config( def add_listener(self, listener: RealtimeModelListener) -> None: """Add a listener to the model.""" - self._listeners.append(listener) + if listener not in self._listeners: + self._listeners.append(listener) def remove_listener(self, listener: RealtimeModelListener) -> None: """Remove a listener from the model.""" - self._listeners.remove(listener) + if listener in self._listeners: + self._listeners.remove(listener) async def _emit_event(self, event: RealtimeModelEvent) -> None: """Emit an event to the listeners.""" @@ -195,78 +215,55 @@ async def _send_raw_message(self, event: RealtimeModelSendRawMessage) -> None: """Send a raw message to the model.""" assert self._websocket is not None, "Not connected" - try: - converted_event = { - "type": event.message["type"], - } + converted_event = { + "type": event.message["type"], + } - converted_event.update(event.message.get("other_data", {})) + converted_event.update(event.message.get("other_data", {})) - await self._websocket.send(json.dumps(converted_event)) - except Exception as e: - await self._emit_event( - RealtimeModelExceptionEvent( - exception=e, - context=f"Failed to send event: {event.message.get('type', 'unknown')}", - ) - ) + await self._websocket.send(json.dumps(converted_event)) async def _send_user_input(self, event: RealtimeModelSendUserInput) -> None: - """Send a user input to the model.""" - try: - message = ( - event.user_input - if isinstance(event.user_input, dict) - else { - "type": "message", - "role": "user", - "content": [{"type": "input_text", "text": event.user_input}], - } - ) - other_data = { - "item": message, + message = ( + event.user_input + if isinstance(event.user_input, dict) + else { + "type": "message", + "role": "user", + "content": [{"type": "input_text", "text": event.user_input}], } + ) + other_data = { + "item": message, + } - await self._send_raw_message( - RealtimeModelSendRawMessage( - message={"type": "conversation.item.create", "other_data": other_data} - ) - ) - await self._send_raw_message( - RealtimeModelSendRawMessage(message={"type": "response.create"}) - ) - except Exception as e: - await self._emit_event( - RealtimeModelExceptionEvent(exception=e, context="Failed to send message") + await self._send_raw_message( + RealtimeModelSendRawMessage( + message={"type": "conversation.item.create", "other_data": other_data} ) + ) + await self._send_raw_message( + RealtimeModelSendRawMessage(message={"type": "response.create"}) + ) async def _send_audio(self, event: RealtimeModelSendAudio) -> None: - """Send audio to the model.""" - assert self._websocket is not None, "Not connected" - - try: - base64_audio = base64.b64encode(event.audio).decode("utf-8") - await self._send_raw_message( - RealtimeModelSendRawMessage( - message={ - "type": "input_audio_buffer.append", - "other_data": { - "audio": base64_audio, - }, - } - ) + base64_audio = base64.b64encode(event.audio).decode("utf-8") + await self._send_raw_message( + RealtimeModelSendRawMessage( + message={ + "type": "input_audio_buffer.append", + "other_data": { + "audio": base64_audio, + }, + } ) - if event.commit: - await self._send_raw_message( - RealtimeModelSendRawMessage(message={"type": "input_audio_buffer.commit"}) - ) - except Exception as e: - await self._emit_event( - RealtimeModelExceptionEvent(exception=e, context="Failed to send audio") + ) + if event.commit: + await self._send_raw_message( + RealtimeModelSendRawMessage(message={"type": "input_audio_buffer.commit"}) ) async def _send_tool_output(self, event: RealtimeModelSendToolOutput) -> None: - """Send tool output to the model.""" await self._send_raw_message( RealtimeModelSendRawMessage( message={ @@ -299,7 +296,6 @@ async def _send_tool_output(self, event: RealtimeModelSendToolOutput) -> None: ) async def _send_interrupt(self, event: RealtimeModelSendInterrupt) -> None: - """Send an interrupt to the model.""" if not self._current_item_id or not self._audio_start_time: return @@ -418,8 +414,17 @@ async def _handle_ws_event(self, event: dict[str, Any]): parsed: OpenAIRealtimeServerEvent = TypeAdapter( OpenAIRealtimeServerEvent ).validate_python(event) + except pydantic.ValidationError as e: + logger.error(f"Failed to validate server event: {event}", exc_info=True) + await self._emit_event( + RealtimeModelErrorEvent( + error=e, + ) + ) + return except Exception as e: event_type = event.get("type", "unknown") if isinstance(event, dict) else "unknown" + logger.error(f"Failed to validate server event: {event}", exc_info=True) await self._emit_event( RealtimeModelExceptionEvent( exception=e, @@ -492,3 +497,66 @@ async def _handle_ws_event(self, event: dict[str, Any]): or parsed.type == "response.output_item.done" ): await self._handle_output_item(parsed.item) + + async def _update_session_config(self, model_settings: RealtimeSessionModelSettings) -> None: + session_config = self._get_session_config(model_settings) + await self._send_raw_message( + RealtimeModelSendRawMessage( + message={ + "type": "session.update", + "other_data": { + "session": session_config.model_dump(exclude_unset=True, exclude_none=True) + }, + } + ) + ) + + def _get_session_config( + self, model_settings: RealtimeSessionModelSettings + ) -> OpenAISessionObject: + """Get the session config.""" + return OpenAISessionObject( + instructions=model_settings.get("instructions", None), + model=( + model_settings.get("model_name", self.model) # type: ignore + or DEFAULT_MODEL_SETTINGS.get("model_name") + ), + voice=model_settings.get("voice", DEFAULT_MODEL_SETTINGS.get("voice")), + modalities=model_settings.get("modalities", DEFAULT_MODEL_SETTINGS.get("modalities")), + input_audio_format=model_settings.get( + "input_audio_format", + DEFAULT_MODEL_SETTINGS.get("input_audio_format"), # type: ignore + ), + output_audio_format=model_settings.get( + "output_audio_format", + DEFAULT_MODEL_SETTINGS.get("output_audio_format"), # type: ignore + ), + input_audio_transcription=model_settings.get( + "input_audio_transcription", + DEFAULT_MODEL_SETTINGS.get("input_audio_transcription"), # type: ignore + ), + turn_detection=model_settings.get( + "turn_detection", + DEFAULT_MODEL_SETTINGS.get("turn_detection"), # type: ignore + ), + tool_choice=model_settings.get( + "tool_choice", + DEFAULT_MODEL_SETTINGS.get("tool_choice"), # type: ignore + ), + tools=self._tools_to_session_tools(model_settings.get("tools", [])), + ) + + def _tools_to_session_tools(self, tools: list[Tool]) -> list[OpenAISessionTool]: + converted_tools: list[OpenAISessionTool] = [] + for tool in tools: + if not isinstance(tool, FunctionTool): + raise UserError(f"Tool {tool.name} is unsupported. Must be a function tool.") + converted_tools.append( + OpenAISessionTool( + name=tool.name, + description=tool.description, + parameters=tool.params_json_schema, + type="function", + ) + ) + return converted_tools diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index 04ce09bea..cafbda5b7 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -269,9 +269,11 @@ async def _handle_tool_call(self, event: RealtimeModelToolCallEvent) -> None: tool_context = ToolContext.from_agent_context(self._context_wrapper, event.call_id) result = await func_tool.on_invoke_tool(tool_context, event.arguments) - await self._model.send_event(RealtimeModelSendToolOutput( - tool_call=event, output=str(result), start_response=True - )) + await self._model.send_event( + RealtimeModelSendToolOutput( + tool_call=event, output=str(result), start_response=True + ) + ) await self._put_event( RealtimeToolEnd( @@ -379,9 +381,11 @@ async def _run_output_guardrails(self, text: str) -> bool: # Send guardrail triggered message guardrail_names = [result.guardrail.get_name() for result in triggered_results] - await self._model.send_event(RealtimeModelSendUserInput( - user_input=f"guardrail triggered: {', '.join(guardrail_names)}" - )) + await self._model.send_event( + RealtimeModelSendUserInput( + user_input=f"guardrail triggered: {', '.join(guardrail_names)}" + ) + ) return True From fd4b48eb1672585ea2c3b5df67c7c31e172ef64e Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 14 Jul 2025 17:21:14 -0400 Subject: [PATCH 217/337] Realtime: send session.update event at connection --- examples/realtime/demo.py | 78 +++++----- examples/realtime/ui.py | 5 +- src/agents/realtime/model_inputs.py | 10 ++ src/agents/realtime/openai_realtime.py | 199 +++++++++++++++++-------- src/agents/realtime/session.py | 78 ++++++++-- tests/realtime/test_openai_realtime.py | 18 +-- tests/realtime/test_session.py | 48 ++++-- tests/realtime/test_tracing.py | 3 + 8 files changed, 293 insertions(+), 146 deletions(-) diff --git a/examples/realtime/demo.py b/examples/realtime/demo.py index 61834a4e5..7b98850b2 100644 --- a/examples/realtime/demo.py +++ b/examples/realtime/demo.py @@ -58,55 +58,45 @@ async def run(self) -> None: self.session = session self.ui.set_is_connected(True) async for event in session: - await self.on_event(event) + await self._on_event(event) + print("done") # Wait for UI task to complete when session ends await ui_task async def on_audio_recorded(self, audio_bytes: bytes) -> None: - """Called when audio is recorded by the UI.""" - try: - # Send the audio to the session - assert self.session is not None - await self.session.send_audio(audio_bytes) - except Exception as e: - self.ui.log_message(f"Error sending audio: {e}") - - async def on_event(self, event: RealtimeSessionEvent) -> None: - # Display event in the UI - try: - if event.type == "agent_start": - self.ui.add_transcript(f"Agent started: {event.agent.name}") - elif event.type == "agent_end": - self.ui.add_transcript(f"Agent ended: {event.agent.name}") - elif event.type == "handoff": - self.ui.add_transcript( - f"Handoff from {event.from_agent.name} to {event.to_agent.name}" - ) - elif event.type == "tool_start": - self.ui.add_transcript(f"Tool started: {event.tool.name}") - elif event.type == "tool_end": - self.ui.add_transcript(f"Tool ended: {event.tool.name}; output: {event.output}") - elif event.type == "audio_end": - self.ui.add_transcript("Audio ended") - elif event.type == "audio": - np_audio = np.frombuffer(event.audio.data, dtype=np.int16) - self.ui.play_audio(np_audio) - elif event.type == "audio_interrupted": - self.ui.add_transcript("Audio interrupted") - elif event.type == "error": - self.ui.add_transcript(f"Error: {event.error}") - elif event.type == "history_updated": - pass - elif event.type == "history_added": - pass - elif event.type == "raw_model_event": - self.ui.log_message(f"Raw model event: {event.data}") - else: - self.ui.log_message(f"Unknown event type: {event.type}") - except Exception as e: - # This can happen if the UI has already exited - self.ui.log_message(f"Event handling error: {str(e)}") + # Send the audio to the session + assert self.session is not None + await self.session.send_audio(audio_bytes) + + async def _on_event(self, event: RealtimeSessionEvent) -> None: + if event.type == "agent_start": + self.ui.add_transcript(f"Agent started: {event.agent.name}") + elif event.type == "agent_end": + self.ui.add_transcript(f"Agent ended: {event.agent.name}") + elif event.type == "handoff": + self.ui.add_transcript(f"Handoff from {event.from_agent.name} to {event.to_agent.name}") + elif event.type == "tool_start": + self.ui.add_transcript(f"Tool started: {event.tool.name}") + elif event.type == "tool_end": + self.ui.add_transcript(f"Tool ended: {event.tool.name}; output: {event.output}") + elif event.type == "audio_end": + self.ui.add_transcript("Audio ended") + elif event.type == "audio": + np_audio = np.frombuffer(event.audio.data, dtype=np.int16) + self.ui.play_audio(np_audio) + elif event.type == "audio_interrupted": + self.ui.add_transcript("Audio interrupted") + elif event.type == "error": + self.ui.add_transcript(f"Error: {event.error}") + elif event.type == "history_updated": + pass + elif event.type == "history_added": + pass + elif event.type == "raw_model_event": + self.ui.log_message(f"Raw model event: {event.data}") + else: + self.ui.log_message(f"Unknown event type: {event.type}") if __name__ == "__main__": diff --git a/examples/realtime/ui.py b/examples/realtime/ui.py index 1ba055835..51a1fed41 100644 --- a/examples/realtime/ui.py +++ b/examples/realtime/ui.py @@ -239,10 +239,7 @@ async def capture_audio(self) -> None: # Call audio callback if set if self.audio_callback: - try: - await self.audio_callback(audio_bytes) - except Exception as e: - self.log_message(f"Audio callback error: {e}") + await self.audio_callback(audio_bytes) # Yield control back to event loop await asyncio.sleep(0) diff --git a/src/agents/realtime/model_inputs.py b/src/agents/realtime/model_inputs.py index eb8e8220d..df09e6697 100644 --- a/src/agents/realtime/model_inputs.py +++ b/src/agents/realtime/model_inputs.py @@ -5,6 +5,7 @@ from typing_extensions import NotRequired, TypeAlias, TypedDict +from .config import RealtimeSessionModelSettings from .model_events import RealtimeModelToolCallEvent @@ -81,10 +82,19 @@ class RealtimeModelSendInterrupt: """Send an interrupt to the model.""" +@dataclass +class RealtimeModelSendSessionUpdate: + """Send a session update to the model.""" + + session_settings: RealtimeSessionModelSettings + """The updated session settings to send.""" + + RealtimeModelSendEvent: TypeAlias = Union[ RealtimeModelSendRawMessage, RealtimeModelSendUserInput, RealtimeModelSendAudio, RealtimeModelSendToolOutput, RealtimeModelSendInterrupt, + RealtimeModelSendSessionUpdate, ] diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index b73ca8503..b79227d2e 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -8,16 +8,22 @@ from datetime import datetime from typing import Any, Callable, Literal +import pydantic import websockets from openai.types.beta.realtime.conversation_item import ConversationItem from openai.types.beta.realtime.realtime_server_event import ( RealtimeServerEvent as OpenAIRealtimeServerEvent, ) from openai.types.beta.realtime.response_audio_delta_event import ResponseAudioDeltaEvent +from openai.types.beta.realtime.session_update_event import ( + Session as OpenAISessionObject, + SessionTool as OpenAISessionTool, +) from pydantic import TypeAdapter from typing_extensions import assert_never from websockets.asyncio.client import ClientConnection +from agents.tool import FunctionTool, Tool from agents.util._types import MaybeAwaitable from ..exceptions import UserError @@ -52,10 +58,22 @@ RealtimeModelSendEvent, RealtimeModelSendInterrupt, RealtimeModelSendRawMessage, + RealtimeModelSendSessionUpdate, RealtimeModelSendToolOutput, RealtimeModelSendUserInput, ) +DEFAULT_MODEL_SETTINGS: RealtimeSessionModelSettings = { + "voice": "ash", + "modalities": ["text", "audio"], + "input_audio_format": "pcm16", + "output_audio_format": "pcm16", + "input_audio_transcription": { + "model": "gpt-4o-mini-transcribe", + }, + "turn_detection": {"type": "semantic_vad"}, +} + async def get_api_key(key: str | Callable[[], MaybeAwaitable[str]] | None) -> str | None: if isinstance(key, str): @@ -110,6 +128,7 @@ async def connect(self, options: RealtimeModelConfig) -> None: } self._websocket = await websockets.connect(url, additional_headers=headers) self._websocket_task = asyncio.create_task(self._listen_for_messages()) + await self._update_session_config(model_settings) async def _send_tracing_config( self, tracing_config: RealtimeModelTracingConfig | Literal["auto"] | None @@ -127,11 +146,13 @@ async def _send_tracing_config( def add_listener(self, listener: RealtimeModelListener) -> None: """Add a listener to the model.""" - self._listeners.append(listener) + if listener not in self._listeners: + self._listeners.append(listener) def remove_listener(self, listener: RealtimeModelListener) -> None: """Remove a listener from the model.""" - self._listeners.remove(listener) + if listener in self._listeners: + self._listeners.remove(listener) async def _emit_event(self, event: RealtimeModelEvent) -> None: """Emit an event to the listeners.""" @@ -187,6 +208,8 @@ async def send_event(self, event: RealtimeModelSendEvent) -> None: await self._send_tool_output(event) elif isinstance(event, RealtimeModelSendInterrupt): await self._send_interrupt(event) + elif isinstance(event, RealtimeModelSendSessionUpdate): + await self._send_session_update(event) else: assert_never(event) raise ValueError(f"Unknown event type: {type(event)}") @@ -195,78 +218,55 @@ async def _send_raw_message(self, event: RealtimeModelSendRawMessage) -> None: """Send a raw message to the model.""" assert self._websocket is not None, "Not connected" - try: - converted_event = { - "type": event.message["type"], - } + converted_event = { + "type": event.message["type"], + } - converted_event.update(event.message.get("other_data", {})) + converted_event.update(event.message.get("other_data", {})) - await self._websocket.send(json.dumps(converted_event)) - except Exception as e: - await self._emit_event( - RealtimeModelExceptionEvent( - exception=e, - context=f"Failed to send event: {event.message.get('type', 'unknown')}", - ) - ) + await self._websocket.send(json.dumps(converted_event)) async def _send_user_input(self, event: RealtimeModelSendUserInput) -> None: - """Send a user input to the model.""" - try: - message = ( - event.user_input - if isinstance(event.user_input, dict) - else { - "type": "message", - "role": "user", - "content": [{"type": "input_text", "text": event.user_input}], - } - ) - other_data = { - "item": message, + message = ( + event.user_input + if isinstance(event.user_input, dict) + else { + "type": "message", + "role": "user", + "content": [{"type": "input_text", "text": event.user_input}], } + ) + other_data = { + "item": message, + } - await self._send_raw_message( - RealtimeModelSendRawMessage( - message={"type": "conversation.item.create", "other_data": other_data} - ) - ) - await self._send_raw_message( - RealtimeModelSendRawMessage(message={"type": "response.create"}) - ) - except Exception as e: - await self._emit_event( - RealtimeModelExceptionEvent(exception=e, context="Failed to send message") + await self._send_raw_message( + RealtimeModelSendRawMessage( + message={"type": "conversation.item.create", "other_data": other_data} ) + ) + await self._send_raw_message( + RealtimeModelSendRawMessage(message={"type": "response.create"}) + ) async def _send_audio(self, event: RealtimeModelSendAudio) -> None: - """Send audio to the model.""" - assert self._websocket is not None, "Not connected" - - try: - base64_audio = base64.b64encode(event.audio).decode("utf-8") - await self._send_raw_message( - RealtimeModelSendRawMessage( - message={ - "type": "input_audio_buffer.append", - "other_data": { - "audio": base64_audio, - }, - } - ) + base64_audio = base64.b64encode(event.audio).decode("utf-8") + await self._send_raw_message( + RealtimeModelSendRawMessage( + message={ + "type": "input_audio_buffer.append", + "other_data": { + "audio": base64_audio, + }, + } ) - if event.commit: - await self._send_raw_message( - RealtimeModelSendRawMessage(message={"type": "input_audio_buffer.commit"}) - ) - except Exception as e: - await self._emit_event( - RealtimeModelExceptionEvent(exception=e, context="Failed to send audio") + ) + if event.commit: + await self._send_raw_message( + RealtimeModelSendRawMessage(message={"type": "input_audio_buffer.commit"}) ) async def _send_tool_output(self, event: RealtimeModelSendToolOutput) -> None: - """Send tool output to the model.""" await self._send_raw_message( RealtimeModelSendRawMessage( message={ @@ -299,7 +299,6 @@ async def _send_tool_output(self, event: RealtimeModelSendToolOutput) -> None: ) async def _send_interrupt(self, event: RealtimeModelSendInterrupt) -> None: - """Send an interrupt to the model.""" if not self._current_item_id or not self._audio_start_time: return @@ -326,6 +325,10 @@ async def _send_interrupt(self, event: RealtimeModelSendInterrupt) -> None: self._audio_length_ms = 0.0 self._current_audio_content_index = None + async def _send_session_update(self, event: RealtimeModelSendSessionUpdate) -> None: + """Send a session update to the model.""" + await self._update_session_config(event.session_settings) + async def _handle_audio_delta(self, parsed: ResponseAudioDeltaEvent) -> None: """Handle audio delta events and update audio tracking state.""" self._current_audio_content_index = parsed.content_index @@ -418,8 +421,17 @@ async def _handle_ws_event(self, event: dict[str, Any]): parsed: OpenAIRealtimeServerEvent = TypeAdapter( OpenAIRealtimeServerEvent ).validate_python(event) + except pydantic.ValidationError as e: + logger.error(f"Failed to validate server event: {event}", exc_info=True) + await self._emit_event( + RealtimeModelErrorEvent( + error=e, + ) + ) + return except Exception as e: event_type = event.get("type", "unknown") if isinstance(event, dict) else "unknown" + logger.error(f"Failed to validate server event: {event}", exc_info=True) await self._emit_event( RealtimeModelExceptionEvent( exception=e, @@ -492,3 +504,66 @@ async def _handle_ws_event(self, event: dict[str, Any]): or parsed.type == "response.output_item.done" ): await self._handle_output_item(parsed.item) + + async def _update_session_config(self, model_settings: RealtimeSessionModelSettings) -> None: + session_config = self._get_session_config(model_settings) + await self._send_raw_message( + RealtimeModelSendRawMessage( + message={ + "type": "session.update", + "other_data": { + "session": session_config.model_dump(exclude_unset=True, exclude_none=True) + }, + } + ) + ) + + def _get_session_config( + self, model_settings: RealtimeSessionModelSettings + ) -> OpenAISessionObject: + """Get the session config.""" + return OpenAISessionObject( + instructions=model_settings.get("instructions", None), + model=( + model_settings.get("model_name", self.model) # type: ignore + or DEFAULT_MODEL_SETTINGS.get("model_name") + ), + voice=model_settings.get("voice", DEFAULT_MODEL_SETTINGS.get("voice")), + modalities=model_settings.get("modalities", DEFAULT_MODEL_SETTINGS.get("modalities")), + input_audio_format=model_settings.get( + "input_audio_format", + DEFAULT_MODEL_SETTINGS.get("input_audio_format"), # type: ignore + ), + output_audio_format=model_settings.get( + "output_audio_format", + DEFAULT_MODEL_SETTINGS.get("output_audio_format"), # type: ignore + ), + input_audio_transcription=model_settings.get( + "input_audio_transcription", + DEFAULT_MODEL_SETTINGS.get("input_audio_transcription"), # type: ignore + ), + turn_detection=model_settings.get( + "turn_detection", + DEFAULT_MODEL_SETTINGS.get("turn_detection"), # type: ignore + ), + tool_choice=model_settings.get( + "tool_choice", + DEFAULT_MODEL_SETTINGS.get("tool_choice"), # type: ignore + ), + tools=self._tools_to_session_tools(model_settings.get("tools", [])), + ) + + def _tools_to_session_tools(self, tools: list[Tool]) -> list[OpenAISessionTool]: + converted_tools: list[OpenAISessionTool] = [] + for tool in tools: + if not isinstance(tool, FunctionTool): + raise UserError(f"Tool {tool.name} is unsupported. Must be a function tool.") + converted_tools.append( + OpenAISessionTool( + name=tool.name, + description=tool.description, + parameters=tool.params_json_schema, + type="function", + ) + ) + return converted_tools diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index 04ce09bea..57c58ffb7 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -7,12 +7,13 @@ from typing_extensions import assert_never from ..agent import Agent +from ..exceptions import ModelBehaviorError, UserError from ..handoffs import Handoff from ..run_context import RunContextWrapper, TContext from ..tool import FunctionTool from ..tool_context import ToolContext from .agent import RealtimeAgent -from .config import RealtimeRunConfig, RealtimeUserInput +from .config import RealtimeRunConfig, RealtimeSessionModelSettings, RealtimeUserInput from .events import ( RealtimeAgentEndEvent, RealtimeAgentStartEvent, @@ -22,6 +23,7 @@ RealtimeError, RealtimeEventInfo, RealtimeGuardrailTripped, + RealtimeHandoffEvent, RealtimeHistoryAdded, RealtimeHistoryUpdated, RealtimeRawModelEvent, @@ -39,6 +41,7 @@ from .model_inputs import ( RealtimeModelSendAudio, RealtimeModelSendInterrupt, + RealtimeModelSendSessionUpdate, RealtimeModelSendToolOutput, RealtimeModelSendUserInput, ) @@ -269,9 +272,11 @@ async def _handle_tool_call(self, event: RealtimeModelToolCallEvent) -> None: tool_context = ToolContext.from_agent_context(self._context_wrapper, event.call_id) result = await func_tool.on_invoke_tool(tool_context, event.arguments) - await self._model.send_event(RealtimeModelSendToolOutput( - tool_call=event, output=str(result), start_response=True - )) + await self._model.send_event( + RealtimeModelSendToolOutput( + tool_call=event, output=str(result), start_response=True + ) + ) await self._put_event( RealtimeToolEnd( @@ -282,11 +287,47 @@ async def _handle_tool_call(self, event: RealtimeModelToolCallEvent) -> None: ) ) elif event.name in handoff_map: - # TODO (rm) Add support for handoffs - pass + handoff = handoff_map[event.name] + tool_context = ToolContext.from_agent_context(self._context_wrapper, event.call_id) + + # Execute the handoff to get the new agent + result = await handoff.on_invoke_handoff(self._context_wrapper, event.arguments) + if not isinstance(result, RealtimeAgent): + raise UserError(f"Handoff {handoff.name} returned invalid result: {type(result)}") + + # Store previous agent for event + previous_agent = self._current_agent + + # Update current agent + self._current_agent = result + + # Get updated model settings from new agent + updated_settings = await self._get__updated_model_settings(self._current_agent) + + # Send handoff event + await self._put_event( + RealtimeHandoffEvent( + from_agent=previous_agent, + to_agent=self._current_agent, + info=self._event_info, + ) + ) + + # Send tool output to complete the handoff + await self._model.send_event( + RealtimeModelSendToolOutput( + tool_call=event, + output=f"Handed off to {self._current_agent.name}", + start_response=True, + ) + ) + + # Send session update to model + await self._model.send_event( + RealtimeModelSendSessionUpdate(session_settings=updated_settings) + ) else: - # TODO (rm) Add error handling - pass + raise ModelBehaviorError(f"Tool {event.name} not found") @classmethod def _get_new_history( @@ -379,9 +420,11 @@ async def _run_output_guardrails(self, text: str) -> bool: # Send guardrail triggered message guardrail_names = [result.guardrail.get_name() for result in triggered_results] - await self._model.send_event(RealtimeModelSendUserInput( - user_input=f"guardrail triggered: {', '.join(guardrail_names)}" - )) + await self._model.send_event( + RealtimeModelSendUserInput( + user_input=f"guardrail triggered: {', '.join(guardrail_names)}" + ) + ) return True @@ -434,3 +477,16 @@ async def _cleanup(self) -> None: # Mark as closed self._closed = True + + async def _get__updated_model_settings( + self, new_agent: RealtimeAgent + ) -> RealtimeSessionModelSettings: + updated_settings: RealtimeSessionModelSettings = {} + instructions, tools = await asyncio.gather( + new_agent.get_system_prompt(self._context_wrapper), + new_agent.get_all_tools(self._context_wrapper), + ) + updated_settings["instructions"] = instructions or "" + updated_settings["tools"] = tools or [] + + return updated_settings diff --git a/tests/realtime/test_openai_realtime.py b/tests/realtime/test_openai_realtime.py index 7cd9a5c30..9ecc433ca 100644 --- a/tests/realtime/test_openai_realtime.py +++ b/tests/realtime/test_openai_realtime.py @@ -174,22 +174,21 @@ class TestEventHandlingRobustness(TestOpenAIRealtimeWebSocketModel): @pytest.mark.asyncio async def test_handle_malformed_json_logs_error_continues(self, model): - """Test that malformed JSON emits exception event but doesn't crash.""" + """Test that malformed JSON emits error event but doesn't crash.""" mock_listener = AsyncMock() model.add_listener(mock_listener) # Malformed JSON should not crash the handler await model._handle_ws_event("invalid json {") - # Should emit exception event to listeners + # Should emit error event to listeners mock_listener.on_event.assert_called_once() - exception_event = mock_listener.on_event.call_args[0][0] - assert exception_event.type == "exception" - assert "Failed to validate server event: unknown" in exception_event.context + error_event = mock_listener.on_event.call_args[0][0] + assert error_event.type == "error" @pytest.mark.asyncio async def test_handle_invalid_event_schema_logs_error(self, model): - """Test that events with invalid schema emit exception events but don't crash.""" + """Test that events with invalid schema emit error events but don't crash.""" mock_listener = AsyncMock() model.add_listener(mock_listener) @@ -197,11 +196,10 @@ async def test_handle_invalid_event_schema_logs_error(self, model): await model._handle_ws_event(invalid_event) - # Should emit exception event to listeners + # Should emit error event to listeners mock_listener.on_event.assert_called_once() - exception_event = mock_listener.on_event.call_args[0][0] - assert exception_event.type == "exception" - assert "Failed to validate server event: response.audio.delta" in exception_event.context + error_event = mock_listener.on_event.call_args[0][0] + assert error_event.type == "error" @pytest.mark.asyncio async def test_handle_unknown_event_type_ignored(self, model): diff --git a/tests/realtime/test_session.py b/tests/realtime/test_session.py index 4cee9e537..b903ee951 100644 --- a/tests/realtime/test_session.py +++ b/tests/realtime/test_session.py @@ -794,8 +794,23 @@ async def test_function_tool_with_multiple_tools_available(self, mock_model, moc assert sent_output == "result_two" @pytest.mark.asyncio - async def test_handoff_tool_handling_todo(self, mock_model, mock_agent, mock_handoff): - """Test that handoff tools are recognized but not yet implemented""" + async def test_handoff_tool_handling(self, mock_model, mock_agent, mock_handoff): + """Test that handoff tools are properly handled""" + from unittest.mock import AsyncMock + + from agents.realtime.agent import RealtimeAgent + + # Create a mock new agent to be returned by handoff + mock_new_agent = Mock(spec=RealtimeAgent) + mock_new_agent.name = "new_agent" + mock_new_agent.instructions = "New agent instructions" + mock_new_agent.get_all_tools = AsyncMock(return_value=[]) + mock_new_agent.get_system_prompt = AsyncMock(return_value="New agent system prompt") + + # Set up handoff to return the new agent + mock_handoff.on_invoke_handoff = AsyncMock(return_value=mock_new_agent) + mock_handoff.name = "test_handoff" + # Set up agent to return handoff tool mock_agent.get_all_tools.return_value = [mock_handoff] @@ -807,15 +822,22 @@ async def test_handoff_tool_handling_todo(self, mock_model, mock_agent, mock_han await session._handle_tool_call(tool_call_event) - # Should not have sent any tool outputs (handoffs not implemented) - assert len(mock_model.sent_tool_outputs) == 0 + # Should have sent session update and tool output + assert len(mock_model.sent_events) >= 2 + + # Should have sent handoff event + assert session._event_queue.qsize() >= 1 - # Should not have queued any events (handoffs not implemented) - assert session._event_queue.qsize() == 0 + # Verify agent was updated + assert session._current_agent == mock_new_agent @pytest.mark.asyncio - async def test_unknown_tool_handling_todo(self, mock_model, mock_agent, mock_function_tool): - """Test that unknown tools are handled gracefully (TODO: add error handling)""" + async def test_unknown_tool_handling(self, mock_model, mock_agent, mock_function_tool): + """Test that unknown tools raise an error""" + import pytest + + from agents.exceptions import ModelBehaviorError + # Set up agent to return different tool than what's called mock_function_tool.name = "known_tool" mock_agent.get_all_tools.return_value = [mock_function_tool] @@ -827,17 +849,13 @@ async def test_unknown_tool_handling_todo(self, mock_model, mock_agent, mock_fun name="unknown_tool", call_id="call_unknown", arguments="{}" ) - await session._handle_tool_call(tool_call_event) + # Should raise an error for unknown tool + with pytest.raises(ModelBehaviorError, match="Tool unknown_tool not found"): + await session._handle_tool_call(tool_call_event) # Should not have called any tools mock_function_tool.on_invoke_tool.assert_not_called() - # Should not have sent any tool outputs - assert len(mock_model.sent_tool_outputs) == 0 - - # Should not have queued any events - assert session._event_queue.qsize() == 0 - @pytest.mark.asyncio async def test_function_tool_exception_handling( self, mock_model, mock_agent, mock_function_tool diff --git a/tests/realtime/test_tracing.py b/tests/realtime/test_tracing.py index 3548829dd..4cff46c49 100644 --- a/tests/realtime/test_tracing.py +++ b/tests/realtime/test_tracing.py @@ -100,6 +100,7 @@ async def async_websocket(*args, **kwargs): # Should send session.update with tracing config from agents.realtime.model_inputs import RealtimeModelSendRawMessage + expected_event = RealtimeModelSendRawMessage( message={ "type": "session.update", @@ -144,6 +145,7 @@ async def async_websocket(*args, **kwargs): # Should send session.update with "auto" from agents.realtime.model_inputs import RealtimeModelSendRawMessage + expected_event = RealtimeModelSendRawMessage( message={ "type": "session.update", @@ -208,6 +210,7 @@ async def async_websocket(*args, **kwargs): # Should send session.update with complete tracing config including metadata from agents.realtime.model_inputs import RealtimeModelSendRawMessage + expected_event = RealtimeModelSendRawMessage( message={ "type": "session.update", From ce760ab385b023332c337c48178e3be83ec88e55 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 14 Jul 2025 17:30:36 -0400 Subject: [PATCH 218/337] Run make format --- examples/mcp/prompt_server/main.py | 2 +- src/agents/model_settings.py | 3 + src/agents/models/openai_responses.py | 2 +- tests/realtime/test_session.py | 82 +++++++++++++++------------ tests/realtime/test_tracing.py | 16 ++---- 5 files changed, 55 insertions(+), 50 deletions(-) diff --git a/examples/mcp/prompt_server/main.py b/examples/mcp/prompt_server/main.py index 8f2991fc0..4caa95d88 100644 --- a/examples/mcp/prompt_server/main.py +++ b/examples/mcp/prompt_server/main.py @@ -17,7 +17,7 @@ async def get_instructions_from_prompt(mcp_server: MCPServer, prompt_name: str, try: prompt_result = await mcp_server.get_prompt(prompt_name, kwargs) content = prompt_result.messages[0].content - if hasattr(content, 'text'): + if hasattr(content, "text"): instructions = content.text else: instructions = str(content) diff --git a/src/agents/model_settings.py b/src/agents/model_settings.py index 1e9edcbc6..edb692960 100644 --- a/src/agents/model_settings.py +++ b/src/agents/model_settings.py @@ -42,15 +42,18 @@ def validate_from_none(value: None) -> _Omit: serialization=core_schema.plain_serializer_function_ser_schema(lambda instance: None), ) + @dataclass class MCPToolChoice: server_label: str name: str + Omit = Annotated[_Omit, _OmitTypeAnnotation] Headers: TypeAlias = Mapping[str, Union[str, Omit]] ToolChoice: TypeAlias = Union[Literal["auto", "required", "none"], str, MCPToolChoice, None] + @dataclass class ModelSettings: """Settings to use when calling an LLM. diff --git a/src/agents/models/openai_responses.py b/src/agents/models/openai_responses.py index d25613aee..76c67903c 100644 --- a/src/agents/models/openai_responses.py +++ b/src/agents/models/openai_responses.py @@ -343,7 +343,7 @@ def convert_tool_choice( elif tool_choice == "mcp": # Note that this is still here for backwards compatibility, # but migrating to MCPToolChoice is recommended. - return { "type": "mcp" } # type: ignore [typeddict-item] + return {"type": "mcp"} # type: ignore [typeddict-item] else: return { "type": "function", diff --git a/tests/realtime/test_session.py b/tests/realtime/test_session.py index 2cd71b023..f6bd60064 100644 --- a/tests/realtime/test_session.py +++ b/tests/realtime/test_session.py @@ -974,27 +974,30 @@ class TestGuardrailFunctionality: async def _wait_for_guardrail_tasks(self, session): """Wait for all pending guardrail tasks to complete.""" import asyncio + if session._guardrail_tasks: await asyncio.gather(*session._guardrail_tasks, return_exceptions=True) @pytest.fixture def triggered_guardrail(self): """Creates a guardrail that always triggers""" + def guardrail_func(context, agent, output): return GuardrailFunctionOutput( - output_info={"reason": "test trigger"}, - tripwire_triggered=True + output_info={"reason": "test trigger"}, tripwire_triggered=True ) + return OutputGuardrail(guardrail_function=guardrail_func, name="triggered_guardrail") @pytest.fixture def safe_guardrail(self): """Creates a guardrail that never triggers""" + def guardrail_func(context, agent, output): return GuardrailFunctionOutput( - output_info={"reason": "safe content"}, - tripwire_triggered=False + output_info={"reason": "safe content"}, tripwire_triggered=False ) + return OutputGuardrail(guardrail_function=guardrail_func, name="safe_guardrail") @pytest.mark.asyncio @@ -1004,7 +1007,7 @@ async def test_transcript_delta_triggers_guardrail_at_threshold( """Test that guardrails run when transcript delta reaches debounce threshold""" run_config: RealtimeRunConfig = { "output_guardrails": [triggered_guardrail], - "guardrails_settings": {"debounce_text_length": 10} + "guardrails_settings": {"debounce_text_length": 10}, } session = RealtimeSession(mock_model, mock_agent, None, run_config=run_config) @@ -1041,20 +1044,20 @@ async def test_transcript_delta_multiple_thresholds_same_item( """Test guardrails run at 1x, 2x, 3x thresholds for same item_id""" run_config: RealtimeRunConfig = { "output_guardrails": [triggered_guardrail], - "guardrails_settings": {"debounce_text_length": 5} + "guardrails_settings": {"debounce_text_length": 5}, } session = RealtimeSession(mock_model, mock_agent, None, run_config=run_config) # First delta - reaches 1x threshold (5 chars) - await session.on_event(RealtimeModelTranscriptDeltaEvent( - item_id="item_1", delta="12345", response_id="resp_1" - )) + await session.on_event( + RealtimeModelTranscriptDeltaEvent(item_id="item_1", delta="12345", response_id="resp_1") + ) # Second delta - reaches 2x threshold (10 chars total) - await session.on_event(RealtimeModelTranscriptDeltaEvent( - item_id="item_1", delta="67890", response_id="resp_1" - )) + await session.on_event( + RealtimeModelTranscriptDeltaEvent(item_id="item_1", delta="67890", response_id="resp_1") + ) # Wait for async guardrail tasks to complete await self._wait_for_guardrail_tasks(session) @@ -1070,28 +1073,32 @@ async def test_transcript_delta_different_items_tracked_separately( """Test that different item_ids are tracked separately for debouncing""" run_config: RealtimeRunConfig = { "output_guardrails": [safe_guardrail], - "guardrails_settings": {"debounce_text_length": 10} + "guardrails_settings": {"debounce_text_length": 10}, } session = RealtimeSession(mock_model, mock_agent, None, run_config=run_config) # Add text to item_1 (8 chars - below threshold) - await session.on_event(RealtimeModelTranscriptDeltaEvent( - item_id="item_1", delta="12345678", response_id="resp_1" - )) + await session.on_event( + RealtimeModelTranscriptDeltaEvent( + item_id="item_1", delta="12345678", response_id="resp_1" + ) + ) # Add text to item_2 (8 chars - below threshold) - await session.on_event(RealtimeModelTranscriptDeltaEvent( - item_id="item_2", delta="abcdefgh", response_id="resp_2" - )) + await session.on_event( + RealtimeModelTranscriptDeltaEvent( + item_id="item_2", delta="abcdefgh", response_id="resp_2" + ) + ) # Neither should trigger guardrails yet assert mock_model.interrupts_called == 0 # Add more text to item_1 (total 12 chars - above threshold) - await session.on_event(RealtimeModelTranscriptDeltaEvent( - item_id="item_1", delta="90ab", response_id="resp_1" - )) + await session.on_event( + RealtimeModelTranscriptDeltaEvent(item_id="item_1", delta="90ab", response_id="resp_1") + ) # item_1 should have triggered guardrail run (but not interrupted since safe) assert session._item_guardrail_run_counts["item_1"] == 1 @@ -1107,15 +1114,17 @@ async def test_turn_ended_clears_guardrail_state( """Test that turn_ended event clears guardrail state for next turn""" run_config: RealtimeRunConfig = { "output_guardrails": [triggered_guardrail], - "guardrails_settings": {"debounce_text_length": 5} + "guardrails_settings": {"debounce_text_length": 5}, } session = RealtimeSession(mock_model, mock_agent, None, run_config=run_config) # Trigger guardrail - await session.on_event(RealtimeModelTranscriptDeltaEvent( - item_id="item_1", delta="trigger", response_id="resp_1" - )) + await session.on_event( + RealtimeModelTranscriptDeltaEvent( + item_id="item_1", delta="trigger", response_id="resp_1" + ) + ) # Wait for async guardrail tasks to complete await self._wait_for_guardrail_tasks(session) @@ -1132,16 +1141,13 @@ async def test_turn_ended_clears_guardrail_state( assert len(session._item_guardrail_run_counts) == 0 @pytest.mark.asyncio - async def test_multiple_guardrails_all_triggered( - self, mock_model, mock_agent - ): + async def test_multiple_guardrails_all_triggered(self, mock_model, mock_agent): """Test that all triggered guardrails are included in the event""" + def create_triggered_guardrail(name): def guardrail_func(context, agent, output): - return GuardrailFunctionOutput( - output_info={"name": name}, - tripwire_triggered=True - ) + return GuardrailFunctionOutput(output_info={"name": name}, tripwire_triggered=True) + return OutputGuardrail(guardrail_function=guardrail_func, name=name) guardrail1 = create_triggered_guardrail("guardrail_1") @@ -1149,14 +1155,16 @@ def guardrail_func(context, agent, output): run_config: RealtimeRunConfig = { "output_guardrails": [guardrail1, guardrail2], - "guardrails_settings": {"debounce_text_length": 5} + "guardrails_settings": {"debounce_text_length": 5}, } session = RealtimeSession(mock_model, mock_agent, None, run_config=run_config) - await session.on_event(RealtimeModelTranscriptDeltaEvent( - item_id="item_1", delta="trigger", response_id="resp_1" - )) + await session.on_event( + RealtimeModelTranscriptDeltaEvent( + item_id="item_1", delta="trigger", response_id="resp_1" + ) + ) # Wait for async guardrail tasks to complete await self._wait_for_guardrail_tasks(session) diff --git a/tests/realtime/test_tracing.py b/tests/realtime/test_tracing.py index 456ae125f..7fb2594a9 100644 --- a/tests/realtime/test_tracing.py +++ b/tests/realtime/test_tracing.py @@ -222,27 +222,24 @@ async def test_tracing_disabled_prevents_tracing(self, mock_websocket): # Create a test agent and runner with tracing disabled agent = RealtimeAgent(name="test_agent", instructions="test") - runner = RealtimeRunner( - starting_agent=agent, - config={"tracing_disabled": True} - ) + runner = RealtimeRunner(starting_agent=agent, config={"tracing_disabled": True}) # Test the _get_model_settings method directly since that's where the logic is model_settings = await runner._get_model_settings( agent=agent, disable_tracing=True, # This should come from config["tracing_disabled"] initial_settings=None, - overrides=None + overrides=None, ) # When tracing is disabled, model settings should have tracing=None assert model_settings["tracing"] is None # Also test that the runner passes disable_tracing=True correctly - with patch.object(runner, '_get_model_settings') as mock_get_settings: + with patch.object(runner, "_get_model_settings") as mock_get_settings: mock_get_settings.return_value = {"tracing": None} - with patch('agents.realtime.session.RealtimeSession') as mock_session_class: + with patch("agents.realtime.session.RealtimeSession") as mock_session_class: mock_session = AsyncMock() mock_session_class.return_value = mock_session @@ -250,8 +247,5 @@ async def test_tracing_disabled_prevents_tracing(self, mock_websocket): # Verify that _get_model_settings was called with disable_tracing=True mock_get_settings.assert_called_once_with( - agent=agent, - disable_tracing=True, - initial_settings=None, - overrides=None + agent=agent, disable_tracing=True, initial_settings=None, overrides=None ) From e0f411672f841f5169fdf5f8431c75112c880d25 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 14 Jul 2025 17:30:36 -0400 Subject: [PATCH 219/337] Realtime: forward exceptions from transport layer --- src/agents/realtime/config.py | 1 + src/agents/realtime/model_events.py | 11 + src/agents/realtime/openai_realtime.py | 126 +++++++---- src/agents/realtime/session.py | 29 ++- tests/realtime/test_openai_realtime.py | 33 ++- tests/test_session_exceptions.py | 300 +++++++++++++++++++++++++ 6 files changed, 438 insertions(+), 62 deletions(-) create mode 100644 tests/test_session_exceptions.py diff --git a/src/agents/realtime/config.py b/src/agents/realtime/config.py index ece72e755..9333a9cca 100644 --- a/src/agents/realtime/config.py +++ b/src/agents/realtime/config.py @@ -29,6 +29,7 @@ class RealtimeClientMessage(TypedDict): type: str # explicitly required other_data: NotRequired[dict[str, Any]] + """Merged into the message body.""" class RealtimeUserInputText(TypedDict): diff --git a/src/agents/realtime/model_events.py b/src/agents/realtime/model_events.py index a9769cebd..de1ad5f54 100644 --- a/src/agents/realtime/model_events.py +++ b/src/agents/realtime/model_events.py @@ -130,6 +130,16 @@ class RealtimeModelOtherEvent: type: Literal["other"] = "other" +@dataclass +class RealtimeModelExceptionEvent: + """Exception occurred during model operation.""" + + exception: Exception + context: str | None = None + + type: Literal["exception"] = "exception" + + # TODO (rm) Add usage events @@ -147,4 +157,5 @@ class RealtimeModelOtherEvent: RealtimeModelTurnStartedEvent, RealtimeModelTurnEndedEvent, RealtimeModelOtherEvent, + RealtimeModelExceptionEvent, ] diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 797753242..e239fd003 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -39,6 +39,7 @@ RealtimeModelAudioInterruptedEvent, RealtimeModelErrorEvent, RealtimeModelEvent, + RealtimeModelExceptionEvent, RealtimeModelInputAudioTranscriptionCompletedEvent, RealtimeModelItemDeletedEvent, RealtimeModelItemUpdatedEvent, @@ -130,48 +131,84 @@ async def _listen_for_messages(self): try: async for message in self._websocket: - parsed = json.loads(message) - await self._handle_ws_event(parsed) + try: + parsed = json.loads(message) + await self._handle_ws_event(parsed) + except json.JSONDecodeError as e: + await self._emit_event( + RealtimeModelExceptionEvent( + exception=e, context="Failed to parse WebSocket message as JSON" + ) + ) + except Exception as e: + await self._emit_event( + RealtimeModelExceptionEvent( + exception=e, context="Error handling WebSocket event" + ) + ) - except websockets.exceptions.ConnectionClosed: - # TODO connection closed handling (event, cleanup) - logger.warning("WebSocket connection closed") + except websockets.exceptions.ConnectionClosedOK: + # Normal connection closure - no exception event needed + logger.info("WebSocket connection closed normally") + except websockets.exceptions.ConnectionClosed as e: + await self._emit_event( + RealtimeModelExceptionEvent( + exception=e, context="WebSocket connection closed unexpectedly" + ) + ) except Exception as e: - logger.error(f"WebSocket error: {e}") + await self._emit_event( + RealtimeModelExceptionEvent( + exception=e, context="WebSocket error in message listener" + ) + ) async def send_event(self, event: RealtimeClientMessage) -> None: """Send an event to the model.""" assert self._websocket is not None, "Not connected" - converted_event = { - "type": event["type"], - } - converted_event.update(event.get("other_data", {})) + try: + converted_event = { + "type": event["type"], + } - await self._websocket.send(json.dumps(converted_event)) + converted_event.update(event.get("other_data", {})) + + await self._websocket.send(json.dumps(converted_event)) + except Exception as e: + await self._emit_event( + RealtimeModelExceptionEvent( + exception=e, context=f"Failed to send event: {event.get('type', 'unknown')}" + ) + ) async def send_message( self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None ) -> None: """Send a message to the model.""" - message = ( - message - if isinstance(message, dict) - else { - "type": "message", - "role": "user", - "content": [{"type": "input_text", "text": message}], + try: + message = ( + message + if isinstance(message, dict) + else { + "type": "message", + "role": "user", + "content": [{"type": "input_text", "text": message}], + } + ) + other_data = { + "item": message, } - ) - other_data = { - "item": message, - } - if other_event_data: - other_data.update(other_event_data) + if other_event_data: + other_data.update(other_event_data) - await self.send_event({"type": "conversation.item.create", "other_data": other_data}) + await self.send_event({"type": "conversation.item.create", "other_data": other_data}) - await self.send_event({"type": "response.create"}) + await self.send_event({"type": "response.create"}) + except Exception as e: + await self._emit_event( + RealtimeModelExceptionEvent(exception=e, context="Failed to send message") + ) async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: """Send a raw audio chunk to the model. @@ -182,17 +219,23 @@ async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: detection, this can be used to indicate the turn is completed. """ assert self._websocket is not None, "Not connected" - base64_audio = base64.b64encode(audio).decode("utf-8") - await self.send_event( - { - "type": "input_audio_buffer.append", - "other_data": { - "audio": base64_audio, - }, - } - ) - if commit: - await self.send_event({"type": "input_audio_buffer.commit"}) + + try: + base64_audio = base64.b64encode(audio).decode("utf-8") + await self.send_event( + { + "type": "input_audio_buffer.append", + "other_data": { + "audio": base64_audio, + }, + } + ) + if commit: + await self.send_event({"type": "input_audio_buffer.commit"}) + except Exception as e: + await self._emit_event( + RealtimeModelExceptionEvent(exception=e, context="Failed to send audio") + ) async def send_tool_output( self, tool_call: RealtimeModelToolCallEvent, output: str, start_response: bool @@ -342,8 +385,13 @@ async def _handle_ws_event(self, event: dict[str, Any]): OpenAIRealtimeServerEvent ).validate_python(event) except Exception as e: - logger.error(f"Invalid event: {event} - {e}") - # await self._emit_event(RealtimeModelErrorEvent(error=f"Invalid event: {event} - {e}")) + event_type = event.get("type", "unknown") if isinstance(event, dict) else "unknown" + await self._emit_event( + RealtimeModelExceptionEvent( + exception=e, + context=f"Failed to validate server event: {event_type}", + ) + ) return if parsed.type == "response.audio.delta": diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index 8c909fd07..ce8b7d705 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -84,6 +84,7 @@ def __init__( self._run_config = run_config or {} self._event_queue: asyncio.Queue[RealtimeSessionEvent] = asyncio.Queue() self._closed = False + self._stored_exception: Exception | None = None # Guardrails state tracking self._interrupted_by_guardrail = False @@ -130,6 +131,12 @@ async def __aiter__(self) -> AsyncIterator[RealtimeSessionEvent]: """Iterate over events from the session.""" while not self._closed: try: + # Check if there's a stored exception to raise + if self._stored_exception is not None: + # Clean up resources before raising + await self._cleanup() + raise self._stored_exception + event = await self._event_queue.get() yield event except asyncio.CancelledError: @@ -137,10 +144,7 @@ async def __aiter__(self) -> AsyncIterator[RealtimeSessionEvent]: async def close(self) -> None: """Close the session.""" - self._closed = True - self._cleanup_guardrail_tasks() - self._model.remove_listener(self) - await self._model.close() + await self._cleanup() async def send_message(self, message: RealtimeUserInput) -> None: """Send a message to the model.""" @@ -228,6 +232,9 @@ async def on_event(self, event: RealtimeModelEvent) -> None: info=self._event_info, ) ) + elif event.type == "exception": + # Store the exception to be raised in __aiter__ + self._stored_exception = event.exception elif event.type == "other": pass else: @@ -403,3 +410,17 @@ def _cleanup_guardrail_tasks(self) -> None: if not task.done(): task.cancel() self._guardrail_tasks.clear() + + async def _cleanup(self) -> None: + """Clean up all resources and mark session as closed.""" + # Cancel and cleanup guardrail tasks + self._cleanup_guardrail_tasks() + + # Remove ourselves as a listener + self._model.remove_listener(self) + + # Close the model connection + await self._model.close() + + # Mark as closed + self._closed = True diff --git a/tests/realtime/test_openai_realtime.py b/tests/realtime/test_openai_realtime.py index 9fe2f9acb..7cd9a5c30 100644 --- a/tests/realtime/test_openai_realtime.py +++ b/tests/realtime/test_openai_realtime.py @@ -174,39 +174,34 @@ class TestEventHandlingRobustness(TestOpenAIRealtimeWebSocketModel): @pytest.mark.asyncio async def test_handle_malformed_json_logs_error_continues(self, model): - """Test that malformed JSON is logged as error but doesn't crash.""" + """Test that malformed JSON emits exception event but doesn't crash.""" mock_listener = AsyncMock() model.add_listener(mock_listener) # Malformed JSON should not crash the handler - with patch("agents.realtime.openai_realtime.logger") as mock_logger: - await model._handle_ws_event("invalid json {") + await model._handle_ws_event("invalid json {") - # Should log error but not crash - mock_logger.error.assert_called_once() - assert "Invalid event" in mock_logger.error.call_args[0][0] - - # Should not emit any events to listeners - mock_listener.on_event.assert_not_called() + # Should emit exception event to listeners + mock_listener.on_event.assert_called_once() + exception_event = mock_listener.on_event.call_args[0][0] + assert exception_event.type == "exception" + assert "Failed to validate server event: unknown" in exception_event.context @pytest.mark.asyncio async def test_handle_invalid_event_schema_logs_error(self, model): - """Test that events with invalid schema are logged but don't crash.""" + """Test that events with invalid schema emit exception events but don't crash.""" mock_listener = AsyncMock() model.add_listener(mock_listener) invalid_event = {"type": "response.audio.delta"} # Missing required fields - with patch("agents.realtime.openai_realtime.logger") as mock_logger: - await model._handle_ws_event(invalid_event) + await model._handle_ws_event(invalid_event) - # Should log validation error - mock_logger.error.assert_called_once() - error_msg = mock_logger.error.call_args[0][0] - assert "Invalid event" in error_msg - - # Should not emit events to listeners - mock_listener.on_event.assert_not_called() + # Should emit exception event to listeners + mock_listener.on_event.assert_called_once() + exception_event = mock_listener.on_event.call_args[0][0] + assert exception_event.type == "exception" + assert "Failed to validate server event: response.audio.delta" in exception_event.context @pytest.mark.asyncio async def test_handle_unknown_event_type_ignored(self, model): diff --git a/tests/test_session_exceptions.py b/tests/test_session_exceptions.py new file mode 100644 index 000000000..c49c179aa --- /dev/null +++ b/tests/test_session_exceptions.py @@ -0,0 +1,300 @@ +from __future__ import annotations + +import asyncio +import json +from typing import Any +from unittest.mock import AsyncMock, Mock + +import pytest +import websockets.exceptions + +from agents.realtime.events import RealtimeError +from agents.realtime.model import RealtimeModel, RealtimeModelConfig, RealtimeModelListener +from agents.realtime.model_events import ( + RealtimeModelErrorEvent, + RealtimeModelEvent, + RealtimeModelExceptionEvent, +) +from agents.realtime.session import RealtimeSession + + +class FakeRealtimeModel(RealtimeModel): + """Fake model for testing that forwards events to listeners.""" + + def __init__(self): + self._listeners: list[RealtimeModelListener] = [] + self._events_to_send: list[RealtimeModelEvent] = [] + self._is_connected = False + self._send_task: asyncio.Task[None] | None = None + + def set_next_events(self, events: list[RealtimeModelEvent]) -> None: + """Set events to be sent to listeners.""" + self._events_to_send = events.copy() + + async def connect(self, options: RealtimeModelConfig) -> None: + """Fake connection that starts sending events.""" + self._is_connected = True + self._send_task = asyncio.create_task(self._send_events()) + + async def _send_events(self) -> None: + """Send queued events to all listeners.""" + for event in self._events_to_send: + await asyncio.sleep(0.001) # Small delay to simulate async behavior + for listener in self._listeners: + await listener.on_event(event) + + def add_listener(self, listener: RealtimeModelListener) -> None: + """Add a listener.""" + self._listeners.append(listener) + + def remove_listener(self, listener: RealtimeModelListener) -> None: + """Remove a listener.""" + if listener in self._listeners: + self._listeners.remove(listener) + + async def close(self) -> None: + """Close the fake model.""" + self._is_connected = False + if self._send_task and not self._send_task.done(): + self._send_task.cancel() + try: + await self._send_task + except asyncio.CancelledError: + pass + + async def send_message( + self, message: Any, other_event_data: dict[str, Any] | None = None + ) -> None: + """Fake send message.""" + pass + + async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: + """Fake send audio.""" + pass + + async def send_event(self, event: Any) -> None: + """Fake send event.""" + pass + + async def send_tool_output(self, tool_call: Any, output: str, start_response: bool) -> None: + """Fake send tool output.""" + pass + + async def interrupt(self) -> None: + """Fake interrupt.""" + pass + + +@pytest.fixture +def fake_agent(): + """Create a fake agent for testing.""" + agent = Mock() + agent.get_all_tools = AsyncMock(return_value=[]) + return agent + + +@pytest.fixture +def fake_model(): + """Create a fake model for testing.""" + return FakeRealtimeModel() + + +class TestSessionExceptions: + """Test exception handling in RealtimeSession.""" + + @pytest.mark.asyncio + async def test_end_to_end_exception_propagation_and_cleanup( + self, fake_model: FakeRealtimeModel, fake_agent + ): + """Test that exceptions are stored, trigger cleanup, and are raised in __aiter__.""" + # Create test exception + test_exception = ValueError("Test error") + exception_event = RealtimeModelExceptionEvent( + exception=test_exception, context="Test context" + ) + + # Set up session + session = RealtimeSession(fake_model, fake_agent, None) + + # Set events to send + fake_model.set_next_events([exception_event]) + + # Start session + async with session: + # Try to iterate and expect exception + with pytest.raises(ValueError, match="Test error"): + async for _event in session: + pass # Should never reach here + + # Verify cleanup occurred + assert session._closed is True + assert session._stored_exception == test_exception + assert fake_model._is_connected is False + assert len(fake_model._listeners) == 0 + + @pytest.mark.asyncio + async def test_websocket_connection_closure_type_distinction( + self, fake_model: FakeRealtimeModel, fake_agent + ): + """Test different WebSocket closure types generate appropriate events.""" + # Test ConnectionClosed (should create exception event) + error_closure = websockets.exceptions.ConnectionClosed(None, None) + error_event = RealtimeModelExceptionEvent( + exception=error_closure, context="WebSocket connection closed unexpectedly" + ) + + session = RealtimeSession(fake_model, fake_agent, None) + fake_model.set_next_events([error_event]) + + with pytest.raises(websockets.exceptions.ConnectionClosed): + async with session: + async for _event in session: + pass + + # Verify error closure triggered cleanup + assert session._closed is True + assert isinstance(session._stored_exception, websockets.exceptions.ConnectionClosed) + + @pytest.mark.asyncio + async def test_json_parsing_error_handling(self, fake_model: FakeRealtimeModel, fake_agent): + """Test JSON parsing errors are properly handled and contextualized.""" + # Create JSON decode error + json_error = json.JSONDecodeError("Invalid JSON", "bad json", 0) + json_exception_event = RealtimeModelExceptionEvent( + exception=json_error, context="Failed to parse WebSocket message as JSON" + ) + + session = RealtimeSession(fake_model, fake_agent, None) + fake_model.set_next_events([json_exception_event]) + + with pytest.raises(json.JSONDecodeError): + async with session: + async for _event in session: + pass + + # Verify context is preserved + assert session._stored_exception == json_error + assert session._closed is True + + @pytest.mark.asyncio + async def test_exception_context_preservation(self, fake_model: FakeRealtimeModel, fake_agent): + """Test that exception context information is preserved through the handling process.""" + test_contexts = [ + ("Failed to send audio", RuntimeError("Audio encoding failed")), + ("WebSocket error in message listener", ConnectionError("Network error")), + ("Failed to send event: response.create", OSError("Socket closed")), + ] + + for context, exception in test_contexts: + exception_event = RealtimeModelExceptionEvent(exception=exception, context=context) + + session = RealtimeSession(fake_model, fake_agent, None) + fake_model.set_next_events([exception_event]) + + with pytest.raises(type(exception)): + async with session: + async for _event in session: + pass + + # Verify the exact exception is stored + assert session._stored_exception == exception + assert session._closed is True + + # Reset for next iteration + fake_model._is_connected = False + fake_model._listeners.clear() + + @pytest.mark.asyncio + async def test_multiple_exception_handling_behavior( + self, fake_model: FakeRealtimeModel, fake_agent + ): + """Test behavior when multiple exceptions occur before consumption.""" + # Create multiple exceptions + first_exception = ValueError("First error") + second_exception = RuntimeError("Second error") + + first_event = RealtimeModelExceptionEvent( + exception=first_exception, context="First context" + ) + second_event = RealtimeModelExceptionEvent( + exception=second_exception, context="Second context" + ) + + session = RealtimeSession(fake_model, fake_agent, None) + fake_model.set_next_events([first_event, second_event]) + + # Start session and let events process + async with session: + # Give time for events to be processed + await asyncio.sleep(0.05) + + # The first exception should be stored (second should overwrite, but that's + # the current behavior). In practice, once an exception occurs, cleanup + # should prevent further processing + assert session._stored_exception is not None + assert session._closed is True + + @pytest.mark.asyncio + async def test_exception_during_guardrail_processing( + self, fake_model: FakeRealtimeModel, fake_agent + ): + """Test that exceptions don't interfere with guardrail task cleanup.""" + # Create exception event + test_exception = RuntimeError("Processing error") + exception_event = RealtimeModelExceptionEvent( + exception=test_exception, context="Processing failed" + ) + + session = RealtimeSession(fake_model, fake_agent, None) + + # Add some fake guardrail tasks + fake_task1 = Mock() + fake_task1.done.return_value = False + fake_task1.cancel = Mock() + + fake_task2 = Mock() + fake_task2.done.return_value = True + fake_task2.cancel = Mock() + + session._guardrail_tasks = {fake_task1, fake_task2} + + fake_model.set_next_events([exception_event]) + + with pytest.raises(RuntimeError, match="Processing error"): + async with session: + async for _event in session: + pass + + # Verify guardrail tasks were properly cleaned up + fake_task1.cancel.assert_called_once() + fake_task2.cancel.assert_not_called() # Already done + assert len(session._guardrail_tasks) == 0 + + @pytest.mark.asyncio + async def test_normal_events_still_work_before_exception( + self, fake_model: FakeRealtimeModel, fake_agent + ): + """Test that normal events are processed before an exception occurs.""" + # Create normal event followed by exception + normal_event = RealtimeModelErrorEvent(error={"message": "Normal error"}) + exception_event = RealtimeModelExceptionEvent( + exception=ValueError("Fatal error"), context="Fatal context" + ) + + session = RealtimeSession(fake_model, fake_agent, None) + fake_model.set_next_events([normal_event, exception_event]) + + events_received = [] + + with pytest.raises(ValueError, match="Fatal error"): + async with session: + async for event in session: + events_received.append(event) + + # Should have received events before exception + assert len(events_received) >= 1 + # Look for the error event (might not be first due to history_updated + # being emitted initially) + error_events = [e for e in events_received if hasattr(e, "type") and e.type == "error"] + assert len(error_events) >= 1 + assert isinstance(error_events[0], RealtimeError) From ce41bc998b02de232ee9afe4b487e0b288d646b3 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 14 Jul 2025 17:30:36 -0400 Subject: [PATCH 220/337] Realtime: update model to have a single send_event method --- src/agents/realtime/config.py | 36 ++--- src/agents/realtime/model.py | 39 +---- src/agents/realtime/model_events.py | 4 +- src/agents/realtime/model_inputs.py | 90 ++++++++++++ src/agents/realtime/openai_realtime.py | 192 +++++++++++++++---------- src/agents/realtime/session.py | 24 +++- src/agents/voice/models/openai_stt.py | 2 +- tests/realtime/test_session.py | 31 ++-- tests/realtime/test_tracing.py | 46 +++--- tests/voice/test_openai_stt.py | 4 +- 10 files changed, 295 insertions(+), 173 deletions(-) create mode 100644 src/agents/realtime/model_inputs.py diff --git a/src/agents/realtime/config.py b/src/agents/realtime/config.py index 9333a9cca..7f874cfb0 100644 --- a/src/agents/realtime/config.py +++ b/src/agents/realtime/config.py @@ -26,29 +26,17 @@ """The name of a realtime model.""" +RealtimeAudioFormat: TypeAlias = Union[Literal["pcm16", "g711_ulaw", "g711_alaw"], str] + + class RealtimeClientMessage(TypedDict): + """A raw message to be sent to the model.""" + type: str # explicitly required other_data: NotRequired[dict[str, Any]] """Merged into the message body.""" -class RealtimeUserInputText(TypedDict): - type: Literal["input_text"] - text: str - - -class RealtimeUserInputMessage(TypedDict): - type: Literal["message"] - role: Literal["user"] - content: list[RealtimeUserInputText] - - -RealtimeUserInput: TypeAlias = Union[str, RealtimeUserInputMessage] - - -RealtimeAudioFormat: TypeAlias = Union[Literal["pcm16", "g711_ulaw", "g711_alaw"], str] - - class RealtimeInputAudioTranscriptionConfig(TypedDict): language: NotRequired[str] model: NotRequired[Literal["gpt-4o-transcribe", "gpt-4o-mini-transcribe", "whisper-1"] | str] @@ -124,3 +112,17 @@ class RealtimeRunConfig(TypedDict): """Whether tracing is disabled for this run.""" # TODO (rm) Add history audio storage config + + +class RealtimeUserInputText(TypedDict): + type: Literal["input_text"] + text: str + + +class RealtimeUserInputMessage(TypedDict): + type: Literal["message"] + role: Literal["user"] + content: list[RealtimeUserInputText] + + +RealtimeUserInput: TypeAlias = Union[str, RealtimeUserInputMessage] diff --git a/src/agents/realtime/model.py b/src/agents/realtime/model.py index abb3a1eac..e279ecc95 100644 --- a/src/agents/realtime/model.py +++ b/src/agents/realtime/model.py @@ -1,17 +1,16 @@ from __future__ import annotations import abc -from typing import Any, Callable +from typing import Callable from typing_extensions import NotRequired, TypedDict from ..util._types import MaybeAwaitable from .config import ( - RealtimeClientMessage, RealtimeSessionModelSettings, - RealtimeUserInput, ) -from .model_events import RealtimeModelEvent, RealtimeModelToolCallEvent +from .model_events import RealtimeModelEvent +from .model_inputs import RealtimeModelSendEvent class RealtimeModelListener(abc.ABC): @@ -60,40 +59,10 @@ def remove_listener(self, listener: RealtimeModelListener) -> None: pass @abc.abstractmethod - async def send_event(self, event: RealtimeClientMessage) -> None: + async def send_event(self, event: RealtimeModelSendEvent) -> None: """Send an event to the model.""" pass - @abc.abstractmethod - async def send_message( - self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None - ) -> None: - """Send a message to the model.""" - pass - - @abc.abstractmethod - async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: - """Send a raw audio chunk to the model. - - Args: - audio: The audio data to send. - commit: Whether to commit the audio buffer to the model. If the model does not do turn - detection, this can be used to indicate the turn is completed. - """ - pass - - @abc.abstractmethod - async def send_tool_output( - self, tool_call: RealtimeModelToolCallEvent, output: str, start_response: bool - ) -> None: - """Send tool output to the model.""" - pass - - @abc.abstractmethod - async def interrupt(self) -> None: - """Interrupt the model. For example, could be triggered by a guardrail.""" - pass - @abc.abstractmethod async def close(self) -> None: """Close the session.""" diff --git a/src/agents/realtime/model_events.py b/src/agents/realtime/model_events.py index de1ad5f54..3a158ef4e 100644 --- a/src/agents/realtime/model_events.py +++ b/src/agents/realtime/model_events.py @@ -64,9 +64,7 @@ class RealtimeModelInputAudioTranscriptionCompletedEvent: item_id: str transcript: str - type: Literal["conversation.item.input_audio_transcription.completed"] = ( - "conversation.item.input_audio_transcription.completed" - ) + type: Literal["input_audio_transcription_completed"] = "input_audio_transcription_completed" @dataclass diff --git a/src/agents/realtime/model_inputs.py b/src/agents/realtime/model_inputs.py new file mode 100644 index 000000000..eb8e8220d --- /dev/null +++ b/src/agents/realtime/model_inputs.py @@ -0,0 +1,90 @@ +from __future__ import annotations + +from dataclasses import dataclass +from typing import Any, Literal, Union + +from typing_extensions import NotRequired, TypeAlias, TypedDict + +from .model_events import RealtimeModelToolCallEvent + + +class RealtimeModelRawClientMessage(TypedDict): + """A raw message to be sent to the model.""" + + type: str # explicitly required + other_data: NotRequired[dict[str, Any]] + """Merged into the message body.""" + + +class RealtimeModelInputTextContent(TypedDict): + """A piece of text to be sent to the model.""" + + type: Literal["input_text"] + text: str + + +class RealtimeModelUserInputMessage(TypedDict): + """A message to be sent to the model.""" + + type: Literal["message"] + role: Literal["user"] + content: list[RealtimeModelInputTextContent] + + +RealtimeModelUserInput: TypeAlias = Union[str, RealtimeModelUserInputMessage] +"""A user input to be sent to the model.""" + + +# Model messages + + +@dataclass +class RealtimeModelSendRawMessage: + """Send a raw message to the model.""" + + message: RealtimeModelRawClientMessage + """The message to send.""" + + +@dataclass +class RealtimeModelSendUserInput: + """Send a user input to the model.""" + + user_input: RealtimeModelUserInput + """The user input to send.""" + + +@dataclass +class RealtimeModelSendAudio: + """Send audio to the model.""" + + audio: bytes + commit: bool = False + + +@dataclass +class RealtimeModelSendToolOutput: + """Send tool output to the model.""" + + tool_call: RealtimeModelToolCallEvent + """The tool call to send.""" + + output: str + """The output to send.""" + + start_response: bool + """Whether to start a response.""" + + +@dataclass +class RealtimeModelSendInterrupt: + """Send an interrupt to the model.""" + + +RealtimeModelSendEvent: TypeAlias = Union[ + RealtimeModelSendRawMessage, + RealtimeModelSendUserInput, + RealtimeModelSendAudio, + RealtimeModelSendToolOutput, + RealtimeModelSendInterrupt, +] diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index e239fd003..b73ca8503 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -15,6 +15,7 @@ ) from openai.types.beta.realtime.response_audio_delta_event import ResponseAudioDeltaEvent from pydantic import TypeAdapter +from typing_extensions import assert_never from websockets.asyncio.client import ClientConnection from agents.util._types import MaybeAwaitable @@ -22,10 +23,8 @@ from ..exceptions import UserError from ..logger import logger from .config import ( - RealtimeClientMessage, RealtimeModelTracingConfig, RealtimeSessionModelSettings, - RealtimeUserInput, ) from .items import RealtimeMessageItem, RealtimeToolCallItem from .model import ( @@ -48,6 +47,14 @@ RealtimeModelTurnEndedEvent, RealtimeModelTurnStartedEvent, ) +from .model_inputs import ( + RealtimeModelSendAudio, + RealtimeModelSendEvent, + RealtimeModelSendInterrupt, + RealtimeModelSendRawMessage, + RealtimeModelSendToolOutput, + RealtimeModelSendUserInput, +) async def get_api_key(key: str | Callable[[], MaybeAwaitable[str]] | None) -> str | None: @@ -109,8 +116,13 @@ async def _send_tracing_config( ) -> None: """Update tracing configuration via session.update event.""" if tracing_config is not None: - await self.send_event( - {"type": "session.update", "other_data": {"session": {"tracing": tracing_config}}} + await self._send_raw_message( + RealtimeModelSendRawMessage( + message={ + "type": "session.update", + "other_data": {"session": {"tracing": tracing_config}}, + } + ) ) def add_listener(self, listener: RealtimeModelListener) -> None: @@ -163,113 +175,131 @@ async def _listen_for_messages(self): ) ) - async def send_event(self, event: RealtimeClientMessage) -> None: + async def send_event(self, event: RealtimeModelSendEvent) -> None: """Send an event to the model.""" + if isinstance(event, RealtimeModelSendRawMessage): + await self._send_raw_message(event) + elif isinstance(event, RealtimeModelSendUserInput): + await self._send_user_input(event) + elif isinstance(event, RealtimeModelSendAudio): + await self._send_audio(event) + elif isinstance(event, RealtimeModelSendToolOutput): + await self._send_tool_output(event) + elif isinstance(event, RealtimeModelSendInterrupt): + await self._send_interrupt(event) + else: + assert_never(event) + raise ValueError(f"Unknown event type: {type(event)}") + + async def _send_raw_message(self, event: RealtimeModelSendRawMessage) -> None: + """Send a raw message to the model.""" assert self._websocket is not None, "Not connected" try: converted_event = { - "type": event["type"], + "type": event.message["type"], } - converted_event.update(event.get("other_data", {})) + converted_event.update(event.message.get("other_data", {})) await self._websocket.send(json.dumps(converted_event)) except Exception as e: await self._emit_event( RealtimeModelExceptionEvent( - exception=e, context=f"Failed to send event: {event.get('type', 'unknown')}" + exception=e, + context=f"Failed to send event: {event.message.get('type', 'unknown')}", ) ) - async def send_message( - self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None - ) -> None: - """Send a message to the model.""" + async def _send_user_input(self, event: RealtimeModelSendUserInput) -> None: + """Send a user input to the model.""" try: message = ( - message - if isinstance(message, dict) + event.user_input + if isinstance(event.user_input, dict) else { "type": "message", "role": "user", - "content": [{"type": "input_text", "text": message}], + "content": [{"type": "input_text", "text": event.user_input}], } ) other_data = { "item": message, } - if other_event_data: - other_data.update(other_event_data) - - await self.send_event({"type": "conversation.item.create", "other_data": other_data}) - await self.send_event({"type": "response.create"}) + await self._send_raw_message( + RealtimeModelSendRawMessage( + message={"type": "conversation.item.create", "other_data": other_data} + ) + ) + await self._send_raw_message( + RealtimeModelSendRawMessage(message={"type": "response.create"}) + ) except Exception as e: await self._emit_event( RealtimeModelExceptionEvent(exception=e, context="Failed to send message") ) - async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: - """Send a raw audio chunk to the model. - - Args: - audio: The audio data to send. - commit: Whether to commit the audio buffer to the model. If the model does not do turn - detection, this can be used to indicate the turn is completed. - """ + async def _send_audio(self, event: RealtimeModelSendAudio) -> None: + """Send audio to the model.""" assert self._websocket is not None, "Not connected" try: - base64_audio = base64.b64encode(audio).decode("utf-8") - await self.send_event( - { - "type": "input_audio_buffer.append", - "other_data": { - "audio": base64_audio, - }, - } + base64_audio = base64.b64encode(event.audio).decode("utf-8") + await self._send_raw_message( + RealtimeModelSendRawMessage( + message={ + "type": "input_audio_buffer.append", + "other_data": { + "audio": base64_audio, + }, + } + ) ) - if commit: - await self.send_event({"type": "input_audio_buffer.commit"}) + if event.commit: + await self._send_raw_message( + RealtimeModelSendRawMessage(message={"type": "input_audio_buffer.commit"}) + ) except Exception as e: await self._emit_event( RealtimeModelExceptionEvent(exception=e, context="Failed to send audio") ) - async def send_tool_output( - self, tool_call: RealtimeModelToolCallEvent, output: str, start_response: bool - ) -> None: + async def _send_tool_output(self, event: RealtimeModelSendToolOutput) -> None: """Send tool output to the model.""" - await self.send_event( - { - "type": "conversation.item.create", - "other_data": { - "item": { - "type": "function_call_output", - "output": output, - "call_id": tool_call.id, + await self._send_raw_message( + RealtimeModelSendRawMessage( + message={ + "type": "conversation.item.create", + "other_data": { + "item": { + "type": "function_call_output", + "output": event.output, + "call_id": event.tool_call.id, + }, }, - }, - } + } + ) ) tool_item = RealtimeToolCallItem( - item_id=tool_call.id or "", - previous_item_id=tool_call.previous_item_id, + item_id=event.tool_call.id or "", + previous_item_id=event.tool_call.previous_item_id, type="function_call", status="completed", - arguments=tool_call.arguments, - name=tool_call.name, - output=output, + arguments=event.tool_call.arguments, + name=event.tool_call.name, + output=event.output, ) await self._emit_event(RealtimeModelItemUpdatedEvent(item=tool_item)) - if start_response: - await self.send_event({"type": "response.create"}) + if event.start_response: + await self._send_raw_message( + RealtimeModelSendRawMessage(message={"type": "response.create"}) + ) - async def interrupt(self) -> None: - """Interrupt the model.""" + async def _send_interrupt(self, event: RealtimeModelSendInterrupt) -> None: + """Send an interrupt to the model.""" if not self._current_item_id or not self._audio_start_time: return @@ -278,15 +308,17 @@ async def interrupt(self) -> None: elapsed_time_ms = (datetime.now() - self._audio_start_time).total_seconds() * 1000 if elapsed_time_ms > 0 and elapsed_time_ms < self._audio_length_ms: await self._emit_event(RealtimeModelAudioInterruptedEvent()) - await self.send_event( - { - "type": "conversation.item.truncate", - "other_data": { - "item_id": self._current_item_id, - "content_index": self._current_audio_content_index, - "audio_end_ms": elapsed_time_ms, - }, - } + await self._send_raw_message( + RealtimeModelSendRawMessage( + message={ + "type": "conversation.item.truncate", + "other_data": { + "item_id": self._current_item_id, + "content_index": self._current_audio_content_index, + "audio_end_ms": elapsed_time_ms, + }, + } + ) ) self._current_item_id = None @@ -376,7 +408,9 @@ async def close(self) -> None: async def _cancel_response(self) -> None: if self._ongoing_response: - await self.send_event({"type": "response.cancel"}) + await self._send_raw_message( + RealtimeModelSendRawMessage(message={"type": "response.cancel"}) + ) self._ongoing_response = False async def _handle_ws_event(self, event: dict[str, Any]): @@ -399,7 +433,7 @@ async def _handle_ws_event(self, event: dict[str, Any]): elif parsed.type == "response.audio.done": await self._emit_event(RealtimeModelAudioDoneEvent()) elif parsed.type == "input_audio_buffer.speech_started": - await self.interrupt() + await self._send_interrupt(RealtimeModelSendInterrupt()) elif parsed.type == "response.created": self._ongoing_response = True await self._emit_event(RealtimeModelTurnStartedEvent()) @@ -424,13 +458,15 @@ async def _handle_ws_event(self, event: dict[str, Any]): parsed.type == "conversation.item.input_audio_transcription.completed" or parsed.type == "conversation.item.truncated" ): - await self.send_event( - { - "type": "conversation.item.retrieve", - "other_data": { - "item_id": self._current_item_id, - }, - } + await self._send_raw_message( + RealtimeModelSendRawMessage( + message={ + "type": "conversation.item.retrieve", + "other_data": { + "item_id": self._current_item_id, + }, + } + ) ) if parsed.type == "conversation.item.input_audio_transcription.completed": await self._emit_event( diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index ce8b7d705..04ce09bea 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -36,6 +36,12 @@ RealtimeModelInputAudioTranscriptionCompletedEvent, RealtimeModelToolCallEvent, ) +from .model_inputs import ( + RealtimeModelSendAudio, + RealtimeModelSendInterrupt, + RealtimeModelSendToolOutput, + RealtimeModelSendUserInput, +) class RealtimeSession(RealtimeModelListener): @@ -148,15 +154,15 @@ async def close(self) -> None: async def send_message(self, message: RealtimeUserInput) -> None: """Send a message to the model.""" - await self._model.send_message(message) + await self._model.send_event(RealtimeModelSendUserInput(user_input=message)) async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: """Send a raw audio chunk to the model.""" - await self._model.send_audio(audio, commit=commit) + await self._model.send_event(RealtimeModelSendAudio(audio=audio, commit=commit)) async def interrupt(self) -> None: """Interrupt the model.""" - await self._model.interrupt() + await self._model.send_event(RealtimeModelSendInterrupt()) async def on_event(self, event: RealtimeModelEvent) -> None: await self._put_event(RealtimeRawModelEvent(data=event, info=self._event_info)) @@ -171,7 +177,7 @@ async def on_event(self, event: RealtimeModelEvent) -> None: await self._put_event(RealtimeAudioInterrupted(info=self._event_info)) elif event.type == "audio_done": await self._put_event(RealtimeAudioEnd(info=self._event_info)) - elif event.type == "conversation.item.input_audio_transcription.completed": + elif event.type == "input_audio_transcription_completed": self._history = RealtimeSession._get_new_history(self._history, event) await self._put_event( RealtimeHistoryUpdated(info=self._event_info, history=self._history) @@ -263,7 +269,9 @@ async def _handle_tool_call(self, event: RealtimeModelToolCallEvent) -> None: tool_context = ToolContext.from_agent_context(self._context_wrapper, event.call_id) result = await func_tool.on_invoke_tool(tool_context, event.arguments) - await self._model.send_tool_output(event, str(result), True) + await self._model.send_event(RealtimeModelSendToolOutput( + tool_call=event, output=str(result), start_response=True + )) await self._put_event( RealtimeToolEnd( @@ -367,11 +375,13 @@ async def _run_output_guardrails(self, text: str) -> bool: ) # Interrupt the model - await self._model.interrupt() + await self._model.send_event(RealtimeModelSendInterrupt()) # Send guardrail triggered message guardrail_names = [result.guardrail.get_name() for result in triggered_results] - await self._model.send_message(f"guardrail triggered: {', '.join(guardrail_names)}") + await self._model.send_event(RealtimeModelSendUserInput( + user_input=f"guardrail triggered: {', '.join(guardrail_names)}" + )) return True diff --git a/src/agents/voice/models/openai_stt.py b/src/agents/voice/models/openai_stt.py index 1ae4ea147..b1f1b6da7 100644 --- a/src/agents/voice/models/openai_stt.py +++ b/src/agents/voice/models/openai_stt.py @@ -226,7 +226,7 @@ async def _handle_events(self) -> None: break event_type = event.get("type", "unknown") - if event_type == "conversation.item.input_audio_transcription.completed": + if event_type == "input_audio_transcription_completed": transcript = cast(str, event.get("transcript", "")) if len(transcript) > 0: self._end_turn(transcript) diff --git a/tests/realtime/test_session.py b/tests/realtime/test_session.py index f6bd60064..4cee9e537 100644 --- a/tests/realtime/test_session.py +++ b/tests/realtime/test_session.py @@ -56,6 +56,8 @@ def __init__(self): self.listeners = [] self.connect_called = False self.close_called = False + self.sent_events = [] + # Legacy tracking for tests that haven't been updated yet self.sent_messages = [] self.sent_audio = [] self.sent_tool_outputs = [] @@ -72,19 +74,24 @@ def remove_listener(self, listener): self.listeners.remove(listener) async def send_event(self, event): - pass - - async def send_message(self, message, other_event_data=None): - self.sent_messages.append(message) - - async def send_audio(self, audio, commit=False): - self.sent_audio.append((audio, commit)) - - async def send_tool_output(self, tool_call, output, start_response=True): - self.sent_tool_outputs.append((tool_call, output, start_response)) + from agents.realtime.model_inputs import ( + RealtimeModelSendAudio, + RealtimeModelSendInterrupt, + RealtimeModelSendToolOutput, + RealtimeModelSendUserInput, + ) - async def interrupt(self): - self.interrupts_called += 1 + self.sent_events.append(event) + + # Update legacy tracking for compatibility + if isinstance(event, RealtimeModelSendUserInput): + self.sent_messages.append(event.user_input) + elif isinstance(event, RealtimeModelSendAudio): + self.sent_audio.append((event.audio, event.commit)) + elif isinstance(event, RealtimeModelSendToolOutput): + self.sent_tool_outputs.append((event.tool_call, event.output, event.start_response)) + elif isinstance(event, RealtimeModelSendInterrupt): + self.interrupts_called += 1 async def close(self): self.close_called = True diff --git a/tests/realtime/test_tracing.py b/tests/realtime/test_tracing.py index 7fb2594a9..3548829dd 100644 --- a/tests/realtime/test_tracing.py +++ b/tests/realtime/test_tracing.py @@ -95,12 +95,13 @@ async def async_websocket(*args, **kwargs): "session": {"id": "session_456"}, } - with patch.object(model, "send_event") as mock_send_event: + with patch.object(model, "_send_raw_message") as mock_send_raw_message: await model._handle_ws_event(session_created_event) # Should send session.update with tracing config - mock_send_event.assert_called_once_with( - { + from agents.realtime.model_inputs import RealtimeModelSendRawMessage + expected_event = RealtimeModelSendRawMessage( + message={ "type": "session.update", "other_data": { "session": { @@ -112,6 +113,7 @@ async def async_websocket(*args, **kwargs): }, } ) + mock_send_raw_message.assert_called_once_with(expected_event) @pytest.mark.asyncio async def test_send_tracing_config_auto_mode(self, model, mock_websocket): @@ -137,13 +139,18 @@ async def async_websocket(*args, **kwargs): "session": {"id": "session_456"}, } - with patch.object(model, "send_event") as mock_send_event: + with patch.object(model, "_send_raw_message") as mock_send_raw_message: await model._handle_ws_event(session_created_event) # Should send session.update with "auto" - mock_send_event.assert_called_once_with( - {"type": "session.update", "other_data": {"session": {"tracing": "auto"}}} + from agents.realtime.model_inputs import RealtimeModelSendRawMessage + expected_event = RealtimeModelSendRawMessage( + message={ + "type": "session.update", + "other_data": {"session": {"tracing": "auto"}}, + } ) + mock_send_raw_message.assert_called_once_with(expected_event) @pytest.mark.asyncio async def test_tracing_config_none_skips_session_update(self, model, mock_websocket): @@ -196,22 +203,25 @@ async def async_websocket(*args, **kwargs): "session": {"id": "session_456"}, } - with patch.object(model, "send_event") as mock_send_event: + with patch.object(model, "_send_raw_message") as mock_send_raw_message: await model._handle_ws_event(session_created_event) # Should send session.update with complete tracing config including metadata - expected_call = { - "type": "session.update", - "other_data": { - "session": { - "tracing": { - "workflow_name": "complex_workflow", - "metadata": complex_metadata, + from agents.realtime.model_inputs import RealtimeModelSendRawMessage + expected_event = RealtimeModelSendRawMessage( + message={ + "type": "session.update", + "other_data": { + "session": { + "tracing": { + "workflow_name": "complex_workflow", + "metadata": complex_metadata, + } } - } - }, - } - mock_send_event.assert_called_once_with(expected_call) + }, + } + ) + mock_send_raw_message.assert_called_once_with(expected_event) @pytest.mark.asyncio async def test_tracing_disabled_prevents_tracing(self, mock_websocket): diff --git a/tests/voice/test_openai_stt.py b/tests/voice/test_openai_stt.py index 89b5cca70..ecc41f2e2 100644 --- a/tests/voice/test_openai_stt.py +++ b/tests/voice/test_openai_stt.py @@ -186,7 +186,7 @@ async def test_stream_audio_sends_correct_json(): @pytest.mark.asyncio async def test_transcription_event_puts_output_in_queue(): """ - Test that a 'conversation.item.input_audio_transcription.completed' event + Test that a 'input_audio_transcription_completed' event yields a transcript from transcribe_turns(). """ mock_ws = create_mock_websocket( @@ -196,7 +196,7 @@ async def test_transcription_event_puts_output_in_queue(): # Once configured, we mock a completed transcription event: json.dumps( { - "type": "conversation.item.input_audio_transcription.completed", + "type": "input_audio_transcription_completed", "transcript": "Hello world!", } ), From dc9723958004ffee48984980487f01dd8ba6c6d0 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 14 Jul 2025 17:30:36 -0400 Subject: [PATCH 221/337] Realtime: send session.update event at connection --- examples/realtime/demo.py | 78 +++++----- examples/realtime/ui.py | 5 +- src/agents/realtime/model_inputs.py | 10 ++ src/agents/realtime/openai_realtime.py | 199 +++++++++++++++++-------- src/agents/realtime/session.py | 78 ++++++++-- tests/realtime/test_openai_realtime.py | 18 +-- tests/realtime/test_session.py | 48 ++++-- tests/realtime/test_tracing.py | 3 + 8 files changed, 293 insertions(+), 146 deletions(-) diff --git a/examples/realtime/demo.py b/examples/realtime/demo.py index 61834a4e5..7b98850b2 100644 --- a/examples/realtime/demo.py +++ b/examples/realtime/demo.py @@ -58,55 +58,45 @@ async def run(self) -> None: self.session = session self.ui.set_is_connected(True) async for event in session: - await self.on_event(event) + await self._on_event(event) + print("done") # Wait for UI task to complete when session ends await ui_task async def on_audio_recorded(self, audio_bytes: bytes) -> None: - """Called when audio is recorded by the UI.""" - try: - # Send the audio to the session - assert self.session is not None - await self.session.send_audio(audio_bytes) - except Exception as e: - self.ui.log_message(f"Error sending audio: {e}") - - async def on_event(self, event: RealtimeSessionEvent) -> None: - # Display event in the UI - try: - if event.type == "agent_start": - self.ui.add_transcript(f"Agent started: {event.agent.name}") - elif event.type == "agent_end": - self.ui.add_transcript(f"Agent ended: {event.agent.name}") - elif event.type == "handoff": - self.ui.add_transcript( - f"Handoff from {event.from_agent.name} to {event.to_agent.name}" - ) - elif event.type == "tool_start": - self.ui.add_transcript(f"Tool started: {event.tool.name}") - elif event.type == "tool_end": - self.ui.add_transcript(f"Tool ended: {event.tool.name}; output: {event.output}") - elif event.type == "audio_end": - self.ui.add_transcript("Audio ended") - elif event.type == "audio": - np_audio = np.frombuffer(event.audio.data, dtype=np.int16) - self.ui.play_audio(np_audio) - elif event.type == "audio_interrupted": - self.ui.add_transcript("Audio interrupted") - elif event.type == "error": - self.ui.add_transcript(f"Error: {event.error}") - elif event.type == "history_updated": - pass - elif event.type == "history_added": - pass - elif event.type == "raw_model_event": - self.ui.log_message(f"Raw model event: {event.data}") - else: - self.ui.log_message(f"Unknown event type: {event.type}") - except Exception as e: - # This can happen if the UI has already exited - self.ui.log_message(f"Event handling error: {str(e)}") + # Send the audio to the session + assert self.session is not None + await self.session.send_audio(audio_bytes) + + async def _on_event(self, event: RealtimeSessionEvent) -> None: + if event.type == "agent_start": + self.ui.add_transcript(f"Agent started: {event.agent.name}") + elif event.type == "agent_end": + self.ui.add_transcript(f"Agent ended: {event.agent.name}") + elif event.type == "handoff": + self.ui.add_transcript(f"Handoff from {event.from_agent.name} to {event.to_agent.name}") + elif event.type == "tool_start": + self.ui.add_transcript(f"Tool started: {event.tool.name}") + elif event.type == "tool_end": + self.ui.add_transcript(f"Tool ended: {event.tool.name}; output: {event.output}") + elif event.type == "audio_end": + self.ui.add_transcript("Audio ended") + elif event.type == "audio": + np_audio = np.frombuffer(event.audio.data, dtype=np.int16) + self.ui.play_audio(np_audio) + elif event.type == "audio_interrupted": + self.ui.add_transcript("Audio interrupted") + elif event.type == "error": + self.ui.add_transcript(f"Error: {event.error}") + elif event.type == "history_updated": + pass + elif event.type == "history_added": + pass + elif event.type == "raw_model_event": + self.ui.log_message(f"Raw model event: {event.data}") + else: + self.ui.log_message(f"Unknown event type: {event.type}") if __name__ == "__main__": diff --git a/examples/realtime/ui.py b/examples/realtime/ui.py index 1ba055835..51a1fed41 100644 --- a/examples/realtime/ui.py +++ b/examples/realtime/ui.py @@ -239,10 +239,7 @@ async def capture_audio(self) -> None: # Call audio callback if set if self.audio_callback: - try: - await self.audio_callback(audio_bytes) - except Exception as e: - self.log_message(f"Audio callback error: {e}") + await self.audio_callback(audio_bytes) # Yield control back to event loop await asyncio.sleep(0) diff --git a/src/agents/realtime/model_inputs.py b/src/agents/realtime/model_inputs.py index eb8e8220d..df09e6697 100644 --- a/src/agents/realtime/model_inputs.py +++ b/src/agents/realtime/model_inputs.py @@ -5,6 +5,7 @@ from typing_extensions import NotRequired, TypeAlias, TypedDict +from .config import RealtimeSessionModelSettings from .model_events import RealtimeModelToolCallEvent @@ -81,10 +82,19 @@ class RealtimeModelSendInterrupt: """Send an interrupt to the model.""" +@dataclass +class RealtimeModelSendSessionUpdate: + """Send a session update to the model.""" + + session_settings: RealtimeSessionModelSettings + """The updated session settings to send.""" + + RealtimeModelSendEvent: TypeAlias = Union[ RealtimeModelSendRawMessage, RealtimeModelSendUserInput, RealtimeModelSendAudio, RealtimeModelSendToolOutput, RealtimeModelSendInterrupt, + RealtimeModelSendSessionUpdate, ] diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index b73ca8503..b79227d2e 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -8,16 +8,22 @@ from datetime import datetime from typing import Any, Callable, Literal +import pydantic import websockets from openai.types.beta.realtime.conversation_item import ConversationItem from openai.types.beta.realtime.realtime_server_event import ( RealtimeServerEvent as OpenAIRealtimeServerEvent, ) from openai.types.beta.realtime.response_audio_delta_event import ResponseAudioDeltaEvent +from openai.types.beta.realtime.session_update_event import ( + Session as OpenAISessionObject, + SessionTool as OpenAISessionTool, +) from pydantic import TypeAdapter from typing_extensions import assert_never from websockets.asyncio.client import ClientConnection +from agents.tool import FunctionTool, Tool from agents.util._types import MaybeAwaitable from ..exceptions import UserError @@ -52,10 +58,22 @@ RealtimeModelSendEvent, RealtimeModelSendInterrupt, RealtimeModelSendRawMessage, + RealtimeModelSendSessionUpdate, RealtimeModelSendToolOutput, RealtimeModelSendUserInput, ) +DEFAULT_MODEL_SETTINGS: RealtimeSessionModelSettings = { + "voice": "ash", + "modalities": ["text", "audio"], + "input_audio_format": "pcm16", + "output_audio_format": "pcm16", + "input_audio_transcription": { + "model": "gpt-4o-mini-transcribe", + }, + "turn_detection": {"type": "semantic_vad"}, +} + async def get_api_key(key: str | Callable[[], MaybeAwaitable[str]] | None) -> str | None: if isinstance(key, str): @@ -110,6 +128,7 @@ async def connect(self, options: RealtimeModelConfig) -> None: } self._websocket = await websockets.connect(url, additional_headers=headers) self._websocket_task = asyncio.create_task(self._listen_for_messages()) + await self._update_session_config(model_settings) async def _send_tracing_config( self, tracing_config: RealtimeModelTracingConfig | Literal["auto"] | None @@ -127,11 +146,13 @@ async def _send_tracing_config( def add_listener(self, listener: RealtimeModelListener) -> None: """Add a listener to the model.""" - self._listeners.append(listener) + if listener not in self._listeners: + self._listeners.append(listener) def remove_listener(self, listener: RealtimeModelListener) -> None: """Remove a listener from the model.""" - self._listeners.remove(listener) + if listener in self._listeners: + self._listeners.remove(listener) async def _emit_event(self, event: RealtimeModelEvent) -> None: """Emit an event to the listeners.""" @@ -187,6 +208,8 @@ async def send_event(self, event: RealtimeModelSendEvent) -> None: await self._send_tool_output(event) elif isinstance(event, RealtimeModelSendInterrupt): await self._send_interrupt(event) + elif isinstance(event, RealtimeModelSendSessionUpdate): + await self._send_session_update(event) else: assert_never(event) raise ValueError(f"Unknown event type: {type(event)}") @@ -195,78 +218,55 @@ async def _send_raw_message(self, event: RealtimeModelSendRawMessage) -> None: """Send a raw message to the model.""" assert self._websocket is not None, "Not connected" - try: - converted_event = { - "type": event.message["type"], - } + converted_event = { + "type": event.message["type"], + } - converted_event.update(event.message.get("other_data", {})) + converted_event.update(event.message.get("other_data", {})) - await self._websocket.send(json.dumps(converted_event)) - except Exception as e: - await self._emit_event( - RealtimeModelExceptionEvent( - exception=e, - context=f"Failed to send event: {event.message.get('type', 'unknown')}", - ) - ) + await self._websocket.send(json.dumps(converted_event)) async def _send_user_input(self, event: RealtimeModelSendUserInput) -> None: - """Send a user input to the model.""" - try: - message = ( - event.user_input - if isinstance(event.user_input, dict) - else { - "type": "message", - "role": "user", - "content": [{"type": "input_text", "text": event.user_input}], - } - ) - other_data = { - "item": message, + message = ( + event.user_input + if isinstance(event.user_input, dict) + else { + "type": "message", + "role": "user", + "content": [{"type": "input_text", "text": event.user_input}], } + ) + other_data = { + "item": message, + } - await self._send_raw_message( - RealtimeModelSendRawMessage( - message={"type": "conversation.item.create", "other_data": other_data} - ) - ) - await self._send_raw_message( - RealtimeModelSendRawMessage(message={"type": "response.create"}) - ) - except Exception as e: - await self._emit_event( - RealtimeModelExceptionEvent(exception=e, context="Failed to send message") + await self._send_raw_message( + RealtimeModelSendRawMessage( + message={"type": "conversation.item.create", "other_data": other_data} ) + ) + await self._send_raw_message( + RealtimeModelSendRawMessage(message={"type": "response.create"}) + ) async def _send_audio(self, event: RealtimeModelSendAudio) -> None: - """Send audio to the model.""" - assert self._websocket is not None, "Not connected" - - try: - base64_audio = base64.b64encode(event.audio).decode("utf-8") - await self._send_raw_message( - RealtimeModelSendRawMessage( - message={ - "type": "input_audio_buffer.append", - "other_data": { - "audio": base64_audio, - }, - } - ) + base64_audio = base64.b64encode(event.audio).decode("utf-8") + await self._send_raw_message( + RealtimeModelSendRawMessage( + message={ + "type": "input_audio_buffer.append", + "other_data": { + "audio": base64_audio, + }, + } ) - if event.commit: - await self._send_raw_message( - RealtimeModelSendRawMessage(message={"type": "input_audio_buffer.commit"}) - ) - except Exception as e: - await self._emit_event( - RealtimeModelExceptionEvent(exception=e, context="Failed to send audio") + ) + if event.commit: + await self._send_raw_message( + RealtimeModelSendRawMessage(message={"type": "input_audio_buffer.commit"}) ) async def _send_tool_output(self, event: RealtimeModelSendToolOutput) -> None: - """Send tool output to the model.""" await self._send_raw_message( RealtimeModelSendRawMessage( message={ @@ -299,7 +299,6 @@ async def _send_tool_output(self, event: RealtimeModelSendToolOutput) -> None: ) async def _send_interrupt(self, event: RealtimeModelSendInterrupt) -> None: - """Send an interrupt to the model.""" if not self._current_item_id or not self._audio_start_time: return @@ -326,6 +325,10 @@ async def _send_interrupt(self, event: RealtimeModelSendInterrupt) -> None: self._audio_length_ms = 0.0 self._current_audio_content_index = None + async def _send_session_update(self, event: RealtimeModelSendSessionUpdate) -> None: + """Send a session update to the model.""" + await self._update_session_config(event.session_settings) + async def _handle_audio_delta(self, parsed: ResponseAudioDeltaEvent) -> None: """Handle audio delta events and update audio tracking state.""" self._current_audio_content_index = parsed.content_index @@ -418,8 +421,17 @@ async def _handle_ws_event(self, event: dict[str, Any]): parsed: OpenAIRealtimeServerEvent = TypeAdapter( OpenAIRealtimeServerEvent ).validate_python(event) + except pydantic.ValidationError as e: + logger.error(f"Failed to validate server event: {event}", exc_info=True) + await self._emit_event( + RealtimeModelErrorEvent( + error=e, + ) + ) + return except Exception as e: event_type = event.get("type", "unknown") if isinstance(event, dict) else "unknown" + logger.error(f"Failed to validate server event: {event}", exc_info=True) await self._emit_event( RealtimeModelExceptionEvent( exception=e, @@ -492,3 +504,66 @@ async def _handle_ws_event(self, event: dict[str, Any]): or parsed.type == "response.output_item.done" ): await self._handle_output_item(parsed.item) + + async def _update_session_config(self, model_settings: RealtimeSessionModelSettings) -> None: + session_config = self._get_session_config(model_settings) + await self._send_raw_message( + RealtimeModelSendRawMessage( + message={ + "type": "session.update", + "other_data": { + "session": session_config.model_dump(exclude_unset=True, exclude_none=True) + }, + } + ) + ) + + def _get_session_config( + self, model_settings: RealtimeSessionModelSettings + ) -> OpenAISessionObject: + """Get the session config.""" + return OpenAISessionObject( + instructions=model_settings.get("instructions", None), + model=( + model_settings.get("model_name", self.model) # type: ignore + or DEFAULT_MODEL_SETTINGS.get("model_name") + ), + voice=model_settings.get("voice", DEFAULT_MODEL_SETTINGS.get("voice")), + modalities=model_settings.get("modalities", DEFAULT_MODEL_SETTINGS.get("modalities")), + input_audio_format=model_settings.get( + "input_audio_format", + DEFAULT_MODEL_SETTINGS.get("input_audio_format"), # type: ignore + ), + output_audio_format=model_settings.get( + "output_audio_format", + DEFAULT_MODEL_SETTINGS.get("output_audio_format"), # type: ignore + ), + input_audio_transcription=model_settings.get( + "input_audio_transcription", + DEFAULT_MODEL_SETTINGS.get("input_audio_transcription"), # type: ignore + ), + turn_detection=model_settings.get( + "turn_detection", + DEFAULT_MODEL_SETTINGS.get("turn_detection"), # type: ignore + ), + tool_choice=model_settings.get( + "tool_choice", + DEFAULT_MODEL_SETTINGS.get("tool_choice"), # type: ignore + ), + tools=self._tools_to_session_tools(model_settings.get("tools", [])), + ) + + def _tools_to_session_tools(self, tools: list[Tool]) -> list[OpenAISessionTool]: + converted_tools: list[OpenAISessionTool] = [] + for tool in tools: + if not isinstance(tool, FunctionTool): + raise UserError(f"Tool {tool.name} is unsupported. Must be a function tool.") + converted_tools.append( + OpenAISessionTool( + name=tool.name, + description=tool.description, + parameters=tool.params_json_schema, + type="function", + ) + ) + return converted_tools diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index 04ce09bea..57c58ffb7 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -7,12 +7,13 @@ from typing_extensions import assert_never from ..agent import Agent +from ..exceptions import ModelBehaviorError, UserError from ..handoffs import Handoff from ..run_context import RunContextWrapper, TContext from ..tool import FunctionTool from ..tool_context import ToolContext from .agent import RealtimeAgent -from .config import RealtimeRunConfig, RealtimeUserInput +from .config import RealtimeRunConfig, RealtimeSessionModelSettings, RealtimeUserInput from .events import ( RealtimeAgentEndEvent, RealtimeAgentStartEvent, @@ -22,6 +23,7 @@ RealtimeError, RealtimeEventInfo, RealtimeGuardrailTripped, + RealtimeHandoffEvent, RealtimeHistoryAdded, RealtimeHistoryUpdated, RealtimeRawModelEvent, @@ -39,6 +41,7 @@ from .model_inputs import ( RealtimeModelSendAudio, RealtimeModelSendInterrupt, + RealtimeModelSendSessionUpdate, RealtimeModelSendToolOutput, RealtimeModelSendUserInput, ) @@ -269,9 +272,11 @@ async def _handle_tool_call(self, event: RealtimeModelToolCallEvent) -> None: tool_context = ToolContext.from_agent_context(self._context_wrapper, event.call_id) result = await func_tool.on_invoke_tool(tool_context, event.arguments) - await self._model.send_event(RealtimeModelSendToolOutput( - tool_call=event, output=str(result), start_response=True - )) + await self._model.send_event( + RealtimeModelSendToolOutput( + tool_call=event, output=str(result), start_response=True + ) + ) await self._put_event( RealtimeToolEnd( @@ -282,11 +287,47 @@ async def _handle_tool_call(self, event: RealtimeModelToolCallEvent) -> None: ) ) elif event.name in handoff_map: - # TODO (rm) Add support for handoffs - pass + handoff = handoff_map[event.name] + tool_context = ToolContext.from_agent_context(self._context_wrapper, event.call_id) + + # Execute the handoff to get the new agent + result = await handoff.on_invoke_handoff(self._context_wrapper, event.arguments) + if not isinstance(result, RealtimeAgent): + raise UserError(f"Handoff {handoff.name} returned invalid result: {type(result)}") + + # Store previous agent for event + previous_agent = self._current_agent + + # Update current agent + self._current_agent = result + + # Get updated model settings from new agent + updated_settings = await self._get__updated_model_settings(self._current_agent) + + # Send handoff event + await self._put_event( + RealtimeHandoffEvent( + from_agent=previous_agent, + to_agent=self._current_agent, + info=self._event_info, + ) + ) + + # Send tool output to complete the handoff + await self._model.send_event( + RealtimeModelSendToolOutput( + tool_call=event, + output=f"Handed off to {self._current_agent.name}", + start_response=True, + ) + ) + + # Send session update to model + await self._model.send_event( + RealtimeModelSendSessionUpdate(session_settings=updated_settings) + ) else: - # TODO (rm) Add error handling - pass + raise ModelBehaviorError(f"Tool {event.name} not found") @classmethod def _get_new_history( @@ -379,9 +420,11 @@ async def _run_output_guardrails(self, text: str) -> bool: # Send guardrail triggered message guardrail_names = [result.guardrail.get_name() for result in triggered_results] - await self._model.send_event(RealtimeModelSendUserInput( - user_input=f"guardrail triggered: {', '.join(guardrail_names)}" - )) + await self._model.send_event( + RealtimeModelSendUserInput( + user_input=f"guardrail triggered: {', '.join(guardrail_names)}" + ) + ) return True @@ -434,3 +477,16 @@ async def _cleanup(self) -> None: # Mark as closed self._closed = True + + async def _get__updated_model_settings( + self, new_agent: RealtimeAgent + ) -> RealtimeSessionModelSettings: + updated_settings: RealtimeSessionModelSettings = {} + instructions, tools = await asyncio.gather( + new_agent.get_system_prompt(self._context_wrapper), + new_agent.get_all_tools(self._context_wrapper), + ) + updated_settings["instructions"] = instructions or "" + updated_settings["tools"] = tools or [] + + return updated_settings diff --git a/tests/realtime/test_openai_realtime.py b/tests/realtime/test_openai_realtime.py index 7cd9a5c30..9ecc433ca 100644 --- a/tests/realtime/test_openai_realtime.py +++ b/tests/realtime/test_openai_realtime.py @@ -174,22 +174,21 @@ class TestEventHandlingRobustness(TestOpenAIRealtimeWebSocketModel): @pytest.mark.asyncio async def test_handle_malformed_json_logs_error_continues(self, model): - """Test that malformed JSON emits exception event but doesn't crash.""" + """Test that malformed JSON emits error event but doesn't crash.""" mock_listener = AsyncMock() model.add_listener(mock_listener) # Malformed JSON should not crash the handler await model._handle_ws_event("invalid json {") - # Should emit exception event to listeners + # Should emit error event to listeners mock_listener.on_event.assert_called_once() - exception_event = mock_listener.on_event.call_args[0][0] - assert exception_event.type == "exception" - assert "Failed to validate server event: unknown" in exception_event.context + error_event = mock_listener.on_event.call_args[0][0] + assert error_event.type == "error" @pytest.mark.asyncio async def test_handle_invalid_event_schema_logs_error(self, model): - """Test that events with invalid schema emit exception events but don't crash.""" + """Test that events with invalid schema emit error events but don't crash.""" mock_listener = AsyncMock() model.add_listener(mock_listener) @@ -197,11 +196,10 @@ async def test_handle_invalid_event_schema_logs_error(self, model): await model._handle_ws_event(invalid_event) - # Should emit exception event to listeners + # Should emit error event to listeners mock_listener.on_event.assert_called_once() - exception_event = mock_listener.on_event.call_args[0][0] - assert exception_event.type == "exception" - assert "Failed to validate server event: response.audio.delta" in exception_event.context + error_event = mock_listener.on_event.call_args[0][0] + assert error_event.type == "error" @pytest.mark.asyncio async def test_handle_unknown_event_type_ignored(self, model): diff --git a/tests/realtime/test_session.py b/tests/realtime/test_session.py index 4cee9e537..b903ee951 100644 --- a/tests/realtime/test_session.py +++ b/tests/realtime/test_session.py @@ -794,8 +794,23 @@ async def test_function_tool_with_multiple_tools_available(self, mock_model, moc assert sent_output == "result_two" @pytest.mark.asyncio - async def test_handoff_tool_handling_todo(self, mock_model, mock_agent, mock_handoff): - """Test that handoff tools are recognized but not yet implemented""" + async def test_handoff_tool_handling(self, mock_model, mock_agent, mock_handoff): + """Test that handoff tools are properly handled""" + from unittest.mock import AsyncMock + + from agents.realtime.agent import RealtimeAgent + + # Create a mock new agent to be returned by handoff + mock_new_agent = Mock(spec=RealtimeAgent) + mock_new_agent.name = "new_agent" + mock_new_agent.instructions = "New agent instructions" + mock_new_agent.get_all_tools = AsyncMock(return_value=[]) + mock_new_agent.get_system_prompt = AsyncMock(return_value="New agent system prompt") + + # Set up handoff to return the new agent + mock_handoff.on_invoke_handoff = AsyncMock(return_value=mock_new_agent) + mock_handoff.name = "test_handoff" + # Set up agent to return handoff tool mock_agent.get_all_tools.return_value = [mock_handoff] @@ -807,15 +822,22 @@ async def test_handoff_tool_handling_todo(self, mock_model, mock_agent, mock_han await session._handle_tool_call(tool_call_event) - # Should not have sent any tool outputs (handoffs not implemented) - assert len(mock_model.sent_tool_outputs) == 0 + # Should have sent session update and tool output + assert len(mock_model.sent_events) >= 2 + + # Should have sent handoff event + assert session._event_queue.qsize() >= 1 - # Should not have queued any events (handoffs not implemented) - assert session._event_queue.qsize() == 0 + # Verify agent was updated + assert session._current_agent == mock_new_agent @pytest.mark.asyncio - async def test_unknown_tool_handling_todo(self, mock_model, mock_agent, mock_function_tool): - """Test that unknown tools are handled gracefully (TODO: add error handling)""" + async def test_unknown_tool_handling(self, mock_model, mock_agent, mock_function_tool): + """Test that unknown tools raise an error""" + import pytest + + from agents.exceptions import ModelBehaviorError + # Set up agent to return different tool than what's called mock_function_tool.name = "known_tool" mock_agent.get_all_tools.return_value = [mock_function_tool] @@ -827,17 +849,13 @@ async def test_unknown_tool_handling_todo(self, mock_model, mock_agent, mock_fun name="unknown_tool", call_id="call_unknown", arguments="{}" ) - await session._handle_tool_call(tool_call_event) + # Should raise an error for unknown tool + with pytest.raises(ModelBehaviorError, match="Tool unknown_tool not found"): + await session._handle_tool_call(tool_call_event) # Should not have called any tools mock_function_tool.on_invoke_tool.assert_not_called() - # Should not have sent any tool outputs - assert len(mock_model.sent_tool_outputs) == 0 - - # Should not have queued any events - assert session._event_queue.qsize() == 0 - @pytest.mark.asyncio async def test_function_tool_exception_handling( self, mock_model, mock_agent, mock_function_tool diff --git a/tests/realtime/test_tracing.py b/tests/realtime/test_tracing.py index 3548829dd..4cff46c49 100644 --- a/tests/realtime/test_tracing.py +++ b/tests/realtime/test_tracing.py @@ -100,6 +100,7 @@ async def async_websocket(*args, **kwargs): # Should send session.update with tracing config from agents.realtime.model_inputs import RealtimeModelSendRawMessage + expected_event = RealtimeModelSendRawMessage( message={ "type": "session.update", @@ -144,6 +145,7 @@ async def async_websocket(*args, **kwargs): # Should send session.update with "auto" from agents.realtime.model_inputs import RealtimeModelSendRawMessage + expected_event = RealtimeModelSendRawMessage( message={ "type": "session.update", @@ -208,6 +210,7 @@ async def async_websocket(*args, **kwargs): # Should send session.update with complete tracing config including metadata from agents.realtime.model_inputs import RealtimeModelSendRawMessage + expected_event = RealtimeModelSendRawMessage( message={ "type": "session.update", From 54b1569966db31fb2824e9315a7760b472d9dc7c Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 14 Jul 2025 17:53:45 -0400 Subject: [PATCH 222/337] Realtime: update model to have a single send_event method --- src/agents/realtime/config.py | 36 ++--- src/agents/realtime/model.py | 39 +---- src/agents/realtime/model_events.py | 4 +- src/agents/realtime/model_inputs.py | 90 ++++++++++++ src/agents/realtime/openai_realtime.py | 192 +++++++++++++++---------- src/agents/realtime/session.py | 24 +++- src/agents/voice/models/openai_stt.py | 2 +- tests/realtime/test_session.py | 31 ++-- tests/realtime/test_tracing.py | 46 +++--- tests/voice/test_openai_stt.py | 4 +- 10 files changed, 295 insertions(+), 173 deletions(-) create mode 100644 src/agents/realtime/model_inputs.py diff --git a/src/agents/realtime/config.py b/src/agents/realtime/config.py index 9333a9cca..7f874cfb0 100644 --- a/src/agents/realtime/config.py +++ b/src/agents/realtime/config.py @@ -26,29 +26,17 @@ """The name of a realtime model.""" +RealtimeAudioFormat: TypeAlias = Union[Literal["pcm16", "g711_ulaw", "g711_alaw"], str] + + class RealtimeClientMessage(TypedDict): + """A raw message to be sent to the model.""" + type: str # explicitly required other_data: NotRequired[dict[str, Any]] """Merged into the message body.""" -class RealtimeUserInputText(TypedDict): - type: Literal["input_text"] - text: str - - -class RealtimeUserInputMessage(TypedDict): - type: Literal["message"] - role: Literal["user"] - content: list[RealtimeUserInputText] - - -RealtimeUserInput: TypeAlias = Union[str, RealtimeUserInputMessage] - - -RealtimeAudioFormat: TypeAlias = Union[Literal["pcm16", "g711_ulaw", "g711_alaw"], str] - - class RealtimeInputAudioTranscriptionConfig(TypedDict): language: NotRequired[str] model: NotRequired[Literal["gpt-4o-transcribe", "gpt-4o-mini-transcribe", "whisper-1"] | str] @@ -124,3 +112,17 @@ class RealtimeRunConfig(TypedDict): """Whether tracing is disabled for this run.""" # TODO (rm) Add history audio storage config + + +class RealtimeUserInputText(TypedDict): + type: Literal["input_text"] + text: str + + +class RealtimeUserInputMessage(TypedDict): + type: Literal["message"] + role: Literal["user"] + content: list[RealtimeUserInputText] + + +RealtimeUserInput: TypeAlias = Union[str, RealtimeUserInputMessage] diff --git a/src/agents/realtime/model.py b/src/agents/realtime/model.py index abb3a1eac..e279ecc95 100644 --- a/src/agents/realtime/model.py +++ b/src/agents/realtime/model.py @@ -1,17 +1,16 @@ from __future__ import annotations import abc -from typing import Any, Callable +from typing import Callable from typing_extensions import NotRequired, TypedDict from ..util._types import MaybeAwaitable from .config import ( - RealtimeClientMessage, RealtimeSessionModelSettings, - RealtimeUserInput, ) -from .model_events import RealtimeModelEvent, RealtimeModelToolCallEvent +from .model_events import RealtimeModelEvent +from .model_inputs import RealtimeModelSendEvent class RealtimeModelListener(abc.ABC): @@ -60,40 +59,10 @@ def remove_listener(self, listener: RealtimeModelListener) -> None: pass @abc.abstractmethod - async def send_event(self, event: RealtimeClientMessage) -> None: + async def send_event(self, event: RealtimeModelSendEvent) -> None: """Send an event to the model.""" pass - @abc.abstractmethod - async def send_message( - self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None - ) -> None: - """Send a message to the model.""" - pass - - @abc.abstractmethod - async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: - """Send a raw audio chunk to the model. - - Args: - audio: The audio data to send. - commit: Whether to commit the audio buffer to the model. If the model does not do turn - detection, this can be used to indicate the turn is completed. - """ - pass - - @abc.abstractmethod - async def send_tool_output( - self, tool_call: RealtimeModelToolCallEvent, output: str, start_response: bool - ) -> None: - """Send tool output to the model.""" - pass - - @abc.abstractmethod - async def interrupt(self) -> None: - """Interrupt the model. For example, could be triggered by a guardrail.""" - pass - @abc.abstractmethod async def close(self) -> None: """Close the session.""" diff --git a/src/agents/realtime/model_events.py b/src/agents/realtime/model_events.py index de1ad5f54..3a158ef4e 100644 --- a/src/agents/realtime/model_events.py +++ b/src/agents/realtime/model_events.py @@ -64,9 +64,7 @@ class RealtimeModelInputAudioTranscriptionCompletedEvent: item_id: str transcript: str - type: Literal["conversation.item.input_audio_transcription.completed"] = ( - "conversation.item.input_audio_transcription.completed" - ) + type: Literal["input_audio_transcription_completed"] = "input_audio_transcription_completed" @dataclass diff --git a/src/agents/realtime/model_inputs.py b/src/agents/realtime/model_inputs.py new file mode 100644 index 000000000..eb8e8220d --- /dev/null +++ b/src/agents/realtime/model_inputs.py @@ -0,0 +1,90 @@ +from __future__ import annotations + +from dataclasses import dataclass +from typing import Any, Literal, Union + +from typing_extensions import NotRequired, TypeAlias, TypedDict + +from .model_events import RealtimeModelToolCallEvent + + +class RealtimeModelRawClientMessage(TypedDict): + """A raw message to be sent to the model.""" + + type: str # explicitly required + other_data: NotRequired[dict[str, Any]] + """Merged into the message body.""" + + +class RealtimeModelInputTextContent(TypedDict): + """A piece of text to be sent to the model.""" + + type: Literal["input_text"] + text: str + + +class RealtimeModelUserInputMessage(TypedDict): + """A message to be sent to the model.""" + + type: Literal["message"] + role: Literal["user"] + content: list[RealtimeModelInputTextContent] + + +RealtimeModelUserInput: TypeAlias = Union[str, RealtimeModelUserInputMessage] +"""A user input to be sent to the model.""" + + +# Model messages + + +@dataclass +class RealtimeModelSendRawMessage: + """Send a raw message to the model.""" + + message: RealtimeModelRawClientMessage + """The message to send.""" + + +@dataclass +class RealtimeModelSendUserInput: + """Send a user input to the model.""" + + user_input: RealtimeModelUserInput + """The user input to send.""" + + +@dataclass +class RealtimeModelSendAudio: + """Send audio to the model.""" + + audio: bytes + commit: bool = False + + +@dataclass +class RealtimeModelSendToolOutput: + """Send tool output to the model.""" + + tool_call: RealtimeModelToolCallEvent + """The tool call to send.""" + + output: str + """The output to send.""" + + start_response: bool + """Whether to start a response.""" + + +@dataclass +class RealtimeModelSendInterrupt: + """Send an interrupt to the model.""" + + +RealtimeModelSendEvent: TypeAlias = Union[ + RealtimeModelSendRawMessage, + RealtimeModelSendUserInput, + RealtimeModelSendAudio, + RealtimeModelSendToolOutput, + RealtimeModelSendInterrupt, +] diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index e239fd003..b73ca8503 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -15,6 +15,7 @@ ) from openai.types.beta.realtime.response_audio_delta_event import ResponseAudioDeltaEvent from pydantic import TypeAdapter +from typing_extensions import assert_never from websockets.asyncio.client import ClientConnection from agents.util._types import MaybeAwaitable @@ -22,10 +23,8 @@ from ..exceptions import UserError from ..logger import logger from .config import ( - RealtimeClientMessage, RealtimeModelTracingConfig, RealtimeSessionModelSettings, - RealtimeUserInput, ) from .items import RealtimeMessageItem, RealtimeToolCallItem from .model import ( @@ -48,6 +47,14 @@ RealtimeModelTurnEndedEvent, RealtimeModelTurnStartedEvent, ) +from .model_inputs import ( + RealtimeModelSendAudio, + RealtimeModelSendEvent, + RealtimeModelSendInterrupt, + RealtimeModelSendRawMessage, + RealtimeModelSendToolOutput, + RealtimeModelSendUserInput, +) async def get_api_key(key: str | Callable[[], MaybeAwaitable[str]] | None) -> str | None: @@ -109,8 +116,13 @@ async def _send_tracing_config( ) -> None: """Update tracing configuration via session.update event.""" if tracing_config is not None: - await self.send_event( - {"type": "session.update", "other_data": {"session": {"tracing": tracing_config}}} + await self._send_raw_message( + RealtimeModelSendRawMessage( + message={ + "type": "session.update", + "other_data": {"session": {"tracing": tracing_config}}, + } + ) ) def add_listener(self, listener: RealtimeModelListener) -> None: @@ -163,113 +175,131 @@ async def _listen_for_messages(self): ) ) - async def send_event(self, event: RealtimeClientMessage) -> None: + async def send_event(self, event: RealtimeModelSendEvent) -> None: """Send an event to the model.""" + if isinstance(event, RealtimeModelSendRawMessage): + await self._send_raw_message(event) + elif isinstance(event, RealtimeModelSendUserInput): + await self._send_user_input(event) + elif isinstance(event, RealtimeModelSendAudio): + await self._send_audio(event) + elif isinstance(event, RealtimeModelSendToolOutput): + await self._send_tool_output(event) + elif isinstance(event, RealtimeModelSendInterrupt): + await self._send_interrupt(event) + else: + assert_never(event) + raise ValueError(f"Unknown event type: {type(event)}") + + async def _send_raw_message(self, event: RealtimeModelSendRawMessage) -> None: + """Send a raw message to the model.""" assert self._websocket is not None, "Not connected" try: converted_event = { - "type": event["type"], + "type": event.message["type"], } - converted_event.update(event.get("other_data", {})) + converted_event.update(event.message.get("other_data", {})) await self._websocket.send(json.dumps(converted_event)) except Exception as e: await self._emit_event( RealtimeModelExceptionEvent( - exception=e, context=f"Failed to send event: {event.get('type', 'unknown')}" + exception=e, + context=f"Failed to send event: {event.message.get('type', 'unknown')}", ) ) - async def send_message( - self, message: RealtimeUserInput, other_event_data: dict[str, Any] | None = None - ) -> None: - """Send a message to the model.""" + async def _send_user_input(self, event: RealtimeModelSendUserInput) -> None: + """Send a user input to the model.""" try: message = ( - message - if isinstance(message, dict) + event.user_input + if isinstance(event.user_input, dict) else { "type": "message", "role": "user", - "content": [{"type": "input_text", "text": message}], + "content": [{"type": "input_text", "text": event.user_input}], } ) other_data = { "item": message, } - if other_event_data: - other_data.update(other_event_data) - - await self.send_event({"type": "conversation.item.create", "other_data": other_data}) - await self.send_event({"type": "response.create"}) + await self._send_raw_message( + RealtimeModelSendRawMessage( + message={"type": "conversation.item.create", "other_data": other_data} + ) + ) + await self._send_raw_message( + RealtimeModelSendRawMessage(message={"type": "response.create"}) + ) except Exception as e: await self._emit_event( RealtimeModelExceptionEvent(exception=e, context="Failed to send message") ) - async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: - """Send a raw audio chunk to the model. - - Args: - audio: The audio data to send. - commit: Whether to commit the audio buffer to the model. If the model does not do turn - detection, this can be used to indicate the turn is completed. - """ + async def _send_audio(self, event: RealtimeModelSendAudio) -> None: + """Send audio to the model.""" assert self._websocket is not None, "Not connected" try: - base64_audio = base64.b64encode(audio).decode("utf-8") - await self.send_event( - { - "type": "input_audio_buffer.append", - "other_data": { - "audio": base64_audio, - }, - } + base64_audio = base64.b64encode(event.audio).decode("utf-8") + await self._send_raw_message( + RealtimeModelSendRawMessage( + message={ + "type": "input_audio_buffer.append", + "other_data": { + "audio": base64_audio, + }, + } + ) ) - if commit: - await self.send_event({"type": "input_audio_buffer.commit"}) + if event.commit: + await self._send_raw_message( + RealtimeModelSendRawMessage(message={"type": "input_audio_buffer.commit"}) + ) except Exception as e: await self._emit_event( RealtimeModelExceptionEvent(exception=e, context="Failed to send audio") ) - async def send_tool_output( - self, tool_call: RealtimeModelToolCallEvent, output: str, start_response: bool - ) -> None: + async def _send_tool_output(self, event: RealtimeModelSendToolOutput) -> None: """Send tool output to the model.""" - await self.send_event( - { - "type": "conversation.item.create", - "other_data": { - "item": { - "type": "function_call_output", - "output": output, - "call_id": tool_call.id, + await self._send_raw_message( + RealtimeModelSendRawMessage( + message={ + "type": "conversation.item.create", + "other_data": { + "item": { + "type": "function_call_output", + "output": event.output, + "call_id": event.tool_call.id, + }, }, - }, - } + } + ) ) tool_item = RealtimeToolCallItem( - item_id=tool_call.id or "", - previous_item_id=tool_call.previous_item_id, + item_id=event.tool_call.id or "", + previous_item_id=event.tool_call.previous_item_id, type="function_call", status="completed", - arguments=tool_call.arguments, - name=tool_call.name, - output=output, + arguments=event.tool_call.arguments, + name=event.tool_call.name, + output=event.output, ) await self._emit_event(RealtimeModelItemUpdatedEvent(item=tool_item)) - if start_response: - await self.send_event({"type": "response.create"}) + if event.start_response: + await self._send_raw_message( + RealtimeModelSendRawMessage(message={"type": "response.create"}) + ) - async def interrupt(self) -> None: - """Interrupt the model.""" + async def _send_interrupt(self, event: RealtimeModelSendInterrupt) -> None: + """Send an interrupt to the model.""" if not self._current_item_id or not self._audio_start_time: return @@ -278,15 +308,17 @@ async def interrupt(self) -> None: elapsed_time_ms = (datetime.now() - self._audio_start_time).total_seconds() * 1000 if elapsed_time_ms > 0 and elapsed_time_ms < self._audio_length_ms: await self._emit_event(RealtimeModelAudioInterruptedEvent()) - await self.send_event( - { - "type": "conversation.item.truncate", - "other_data": { - "item_id": self._current_item_id, - "content_index": self._current_audio_content_index, - "audio_end_ms": elapsed_time_ms, - }, - } + await self._send_raw_message( + RealtimeModelSendRawMessage( + message={ + "type": "conversation.item.truncate", + "other_data": { + "item_id": self._current_item_id, + "content_index": self._current_audio_content_index, + "audio_end_ms": elapsed_time_ms, + }, + } + ) ) self._current_item_id = None @@ -376,7 +408,9 @@ async def close(self) -> None: async def _cancel_response(self) -> None: if self._ongoing_response: - await self.send_event({"type": "response.cancel"}) + await self._send_raw_message( + RealtimeModelSendRawMessage(message={"type": "response.cancel"}) + ) self._ongoing_response = False async def _handle_ws_event(self, event: dict[str, Any]): @@ -399,7 +433,7 @@ async def _handle_ws_event(self, event: dict[str, Any]): elif parsed.type == "response.audio.done": await self._emit_event(RealtimeModelAudioDoneEvent()) elif parsed.type == "input_audio_buffer.speech_started": - await self.interrupt() + await self._send_interrupt(RealtimeModelSendInterrupt()) elif parsed.type == "response.created": self._ongoing_response = True await self._emit_event(RealtimeModelTurnStartedEvent()) @@ -424,13 +458,15 @@ async def _handle_ws_event(self, event: dict[str, Any]): parsed.type == "conversation.item.input_audio_transcription.completed" or parsed.type == "conversation.item.truncated" ): - await self.send_event( - { - "type": "conversation.item.retrieve", - "other_data": { - "item_id": self._current_item_id, - }, - } + await self._send_raw_message( + RealtimeModelSendRawMessage( + message={ + "type": "conversation.item.retrieve", + "other_data": { + "item_id": self._current_item_id, + }, + } + ) ) if parsed.type == "conversation.item.input_audio_transcription.completed": await self._emit_event( diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index ce8b7d705..04ce09bea 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -36,6 +36,12 @@ RealtimeModelInputAudioTranscriptionCompletedEvent, RealtimeModelToolCallEvent, ) +from .model_inputs import ( + RealtimeModelSendAudio, + RealtimeModelSendInterrupt, + RealtimeModelSendToolOutput, + RealtimeModelSendUserInput, +) class RealtimeSession(RealtimeModelListener): @@ -148,15 +154,15 @@ async def close(self) -> None: async def send_message(self, message: RealtimeUserInput) -> None: """Send a message to the model.""" - await self._model.send_message(message) + await self._model.send_event(RealtimeModelSendUserInput(user_input=message)) async def send_audio(self, audio: bytes, *, commit: bool = False) -> None: """Send a raw audio chunk to the model.""" - await self._model.send_audio(audio, commit=commit) + await self._model.send_event(RealtimeModelSendAudio(audio=audio, commit=commit)) async def interrupt(self) -> None: """Interrupt the model.""" - await self._model.interrupt() + await self._model.send_event(RealtimeModelSendInterrupt()) async def on_event(self, event: RealtimeModelEvent) -> None: await self._put_event(RealtimeRawModelEvent(data=event, info=self._event_info)) @@ -171,7 +177,7 @@ async def on_event(self, event: RealtimeModelEvent) -> None: await self._put_event(RealtimeAudioInterrupted(info=self._event_info)) elif event.type == "audio_done": await self._put_event(RealtimeAudioEnd(info=self._event_info)) - elif event.type == "conversation.item.input_audio_transcription.completed": + elif event.type == "input_audio_transcription_completed": self._history = RealtimeSession._get_new_history(self._history, event) await self._put_event( RealtimeHistoryUpdated(info=self._event_info, history=self._history) @@ -263,7 +269,9 @@ async def _handle_tool_call(self, event: RealtimeModelToolCallEvent) -> None: tool_context = ToolContext.from_agent_context(self._context_wrapper, event.call_id) result = await func_tool.on_invoke_tool(tool_context, event.arguments) - await self._model.send_tool_output(event, str(result), True) + await self._model.send_event(RealtimeModelSendToolOutput( + tool_call=event, output=str(result), start_response=True + )) await self._put_event( RealtimeToolEnd( @@ -367,11 +375,13 @@ async def _run_output_guardrails(self, text: str) -> bool: ) # Interrupt the model - await self._model.interrupt() + await self._model.send_event(RealtimeModelSendInterrupt()) # Send guardrail triggered message guardrail_names = [result.guardrail.get_name() for result in triggered_results] - await self._model.send_message(f"guardrail triggered: {', '.join(guardrail_names)}") + await self._model.send_event(RealtimeModelSendUserInput( + user_input=f"guardrail triggered: {', '.join(guardrail_names)}" + )) return True diff --git a/src/agents/voice/models/openai_stt.py b/src/agents/voice/models/openai_stt.py index 1ae4ea147..b1f1b6da7 100644 --- a/src/agents/voice/models/openai_stt.py +++ b/src/agents/voice/models/openai_stt.py @@ -226,7 +226,7 @@ async def _handle_events(self) -> None: break event_type = event.get("type", "unknown") - if event_type == "conversation.item.input_audio_transcription.completed": + if event_type == "input_audio_transcription_completed": transcript = cast(str, event.get("transcript", "")) if len(transcript) > 0: self._end_turn(transcript) diff --git a/tests/realtime/test_session.py b/tests/realtime/test_session.py index f6bd60064..4cee9e537 100644 --- a/tests/realtime/test_session.py +++ b/tests/realtime/test_session.py @@ -56,6 +56,8 @@ def __init__(self): self.listeners = [] self.connect_called = False self.close_called = False + self.sent_events = [] + # Legacy tracking for tests that haven't been updated yet self.sent_messages = [] self.sent_audio = [] self.sent_tool_outputs = [] @@ -72,19 +74,24 @@ def remove_listener(self, listener): self.listeners.remove(listener) async def send_event(self, event): - pass - - async def send_message(self, message, other_event_data=None): - self.sent_messages.append(message) - - async def send_audio(self, audio, commit=False): - self.sent_audio.append((audio, commit)) - - async def send_tool_output(self, tool_call, output, start_response=True): - self.sent_tool_outputs.append((tool_call, output, start_response)) + from agents.realtime.model_inputs import ( + RealtimeModelSendAudio, + RealtimeModelSendInterrupt, + RealtimeModelSendToolOutput, + RealtimeModelSendUserInput, + ) - async def interrupt(self): - self.interrupts_called += 1 + self.sent_events.append(event) + + # Update legacy tracking for compatibility + if isinstance(event, RealtimeModelSendUserInput): + self.sent_messages.append(event.user_input) + elif isinstance(event, RealtimeModelSendAudio): + self.sent_audio.append((event.audio, event.commit)) + elif isinstance(event, RealtimeModelSendToolOutput): + self.sent_tool_outputs.append((event.tool_call, event.output, event.start_response)) + elif isinstance(event, RealtimeModelSendInterrupt): + self.interrupts_called += 1 async def close(self): self.close_called = True diff --git a/tests/realtime/test_tracing.py b/tests/realtime/test_tracing.py index 7fb2594a9..3548829dd 100644 --- a/tests/realtime/test_tracing.py +++ b/tests/realtime/test_tracing.py @@ -95,12 +95,13 @@ async def async_websocket(*args, **kwargs): "session": {"id": "session_456"}, } - with patch.object(model, "send_event") as mock_send_event: + with patch.object(model, "_send_raw_message") as mock_send_raw_message: await model._handle_ws_event(session_created_event) # Should send session.update with tracing config - mock_send_event.assert_called_once_with( - { + from agents.realtime.model_inputs import RealtimeModelSendRawMessage + expected_event = RealtimeModelSendRawMessage( + message={ "type": "session.update", "other_data": { "session": { @@ -112,6 +113,7 @@ async def async_websocket(*args, **kwargs): }, } ) + mock_send_raw_message.assert_called_once_with(expected_event) @pytest.mark.asyncio async def test_send_tracing_config_auto_mode(self, model, mock_websocket): @@ -137,13 +139,18 @@ async def async_websocket(*args, **kwargs): "session": {"id": "session_456"}, } - with patch.object(model, "send_event") as mock_send_event: + with patch.object(model, "_send_raw_message") as mock_send_raw_message: await model._handle_ws_event(session_created_event) # Should send session.update with "auto" - mock_send_event.assert_called_once_with( - {"type": "session.update", "other_data": {"session": {"tracing": "auto"}}} + from agents.realtime.model_inputs import RealtimeModelSendRawMessage + expected_event = RealtimeModelSendRawMessage( + message={ + "type": "session.update", + "other_data": {"session": {"tracing": "auto"}}, + } ) + mock_send_raw_message.assert_called_once_with(expected_event) @pytest.mark.asyncio async def test_tracing_config_none_skips_session_update(self, model, mock_websocket): @@ -196,22 +203,25 @@ async def async_websocket(*args, **kwargs): "session": {"id": "session_456"}, } - with patch.object(model, "send_event") as mock_send_event: + with patch.object(model, "_send_raw_message") as mock_send_raw_message: await model._handle_ws_event(session_created_event) # Should send session.update with complete tracing config including metadata - expected_call = { - "type": "session.update", - "other_data": { - "session": { - "tracing": { - "workflow_name": "complex_workflow", - "metadata": complex_metadata, + from agents.realtime.model_inputs import RealtimeModelSendRawMessage + expected_event = RealtimeModelSendRawMessage( + message={ + "type": "session.update", + "other_data": { + "session": { + "tracing": { + "workflow_name": "complex_workflow", + "metadata": complex_metadata, + } } - } - }, - } - mock_send_event.assert_called_once_with(expected_call) + }, + } + ) + mock_send_raw_message.assert_called_once_with(expected_event) @pytest.mark.asyncio async def test_tracing_disabled_prevents_tracing(self, mock_websocket): diff --git a/tests/voice/test_openai_stt.py b/tests/voice/test_openai_stt.py index 89b5cca70..ecc41f2e2 100644 --- a/tests/voice/test_openai_stt.py +++ b/tests/voice/test_openai_stt.py @@ -186,7 +186,7 @@ async def test_stream_audio_sends_correct_json(): @pytest.mark.asyncio async def test_transcription_event_puts_output_in_queue(): """ - Test that a 'conversation.item.input_audio_transcription.completed' event + Test that a 'input_audio_transcription_completed' event yields a transcript from transcribe_turns(). """ mock_ws = create_mock_websocket( @@ -196,7 +196,7 @@ async def test_transcription_event_puts_output_in_queue(): # Once configured, we mock a completed transcription event: json.dumps( { - "type": "conversation.item.input_audio_transcription.completed", + "type": "input_audio_transcription_completed", "transcript": "Hello world!", } ), From 1ae0b258305fb276eb844a6726d51f6d13f13736 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 14 Jul 2025 17:53:45 -0400 Subject: [PATCH 223/337] Realtime: send session.update event at connection --- examples/realtime/demo.py | 78 +++++----- examples/realtime/ui.py | 5 +- src/agents/realtime/model_inputs.py | 10 ++ src/agents/realtime/openai_realtime.py | 199 +++++++++++++++++-------- src/agents/realtime/session.py | 78 ++++++++-- tests/realtime/test_openai_realtime.py | 18 +-- tests/realtime/test_session.py | 48 ++++-- tests/realtime/test_tracing.py | 3 + 8 files changed, 293 insertions(+), 146 deletions(-) diff --git a/examples/realtime/demo.py b/examples/realtime/demo.py index 61834a4e5..7b98850b2 100644 --- a/examples/realtime/demo.py +++ b/examples/realtime/demo.py @@ -58,55 +58,45 @@ async def run(self) -> None: self.session = session self.ui.set_is_connected(True) async for event in session: - await self.on_event(event) + await self._on_event(event) + print("done") # Wait for UI task to complete when session ends await ui_task async def on_audio_recorded(self, audio_bytes: bytes) -> None: - """Called when audio is recorded by the UI.""" - try: - # Send the audio to the session - assert self.session is not None - await self.session.send_audio(audio_bytes) - except Exception as e: - self.ui.log_message(f"Error sending audio: {e}") - - async def on_event(self, event: RealtimeSessionEvent) -> None: - # Display event in the UI - try: - if event.type == "agent_start": - self.ui.add_transcript(f"Agent started: {event.agent.name}") - elif event.type == "agent_end": - self.ui.add_transcript(f"Agent ended: {event.agent.name}") - elif event.type == "handoff": - self.ui.add_transcript( - f"Handoff from {event.from_agent.name} to {event.to_agent.name}" - ) - elif event.type == "tool_start": - self.ui.add_transcript(f"Tool started: {event.tool.name}") - elif event.type == "tool_end": - self.ui.add_transcript(f"Tool ended: {event.tool.name}; output: {event.output}") - elif event.type == "audio_end": - self.ui.add_transcript("Audio ended") - elif event.type == "audio": - np_audio = np.frombuffer(event.audio.data, dtype=np.int16) - self.ui.play_audio(np_audio) - elif event.type == "audio_interrupted": - self.ui.add_transcript("Audio interrupted") - elif event.type == "error": - self.ui.add_transcript(f"Error: {event.error}") - elif event.type == "history_updated": - pass - elif event.type == "history_added": - pass - elif event.type == "raw_model_event": - self.ui.log_message(f"Raw model event: {event.data}") - else: - self.ui.log_message(f"Unknown event type: {event.type}") - except Exception as e: - # This can happen if the UI has already exited - self.ui.log_message(f"Event handling error: {str(e)}") + # Send the audio to the session + assert self.session is not None + await self.session.send_audio(audio_bytes) + + async def _on_event(self, event: RealtimeSessionEvent) -> None: + if event.type == "agent_start": + self.ui.add_transcript(f"Agent started: {event.agent.name}") + elif event.type == "agent_end": + self.ui.add_transcript(f"Agent ended: {event.agent.name}") + elif event.type == "handoff": + self.ui.add_transcript(f"Handoff from {event.from_agent.name} to {event.to_agent.name}") + elif event.type == "tool_start": + self.ui.add_transcript(f"Tool started: {event.tool.name}") + elif event.type == "tool_end": + self.ui.add_transcript(f"Tool ended: {event.tool.name}; output: {event.output}") + elif event.type == "audio_end": + self.ui.add_transcript("Audio ended") + elif event.type == "audio": + np_audio = np.frombuffer(event.audio.data, dtype=np.int16) + self.ui.play_audio(np_audio) + elif event.type == "audio_interrupted": + self.ui.add_transcript("Audio interrupted") + elif event.type == "error": + self.ui.add_transcript(f"Error: {event.error}") + elif event.type == "history_updated": + pass + elif event.type == "history_added": + pass + elif event.type == "raw_model_event": + self.ui.log_message(f"Raw model event: {event.data}") + else: + self.ui.log_message(f"Unknown event type: {event.type}") if __name__ == "__main__": diff --git a/examples/realtime/ui.py b/examples/realtime/ui.py index 1ba055835..51a1fed41 100644 --- a/examples/realtime/ui.py +++ b/examples/realtime/ui.py @@ -239,10 +239,7 @@ async def capture_audio(self) -> None: # Call audio callback if set if self.audio_callback: - try: - await self.audio_callback(audio_bytes) - except Exception as e: - self.log_message(f"Audio callback error: {e}") + await self.audio_callback(audio_bytes) # Yield control back to event loop await asyncio.sleep(0) diff --git a/src/agents/realtime/model_inputs.py b/src/agents/realtime/model_inputs.py index eb8e8220d..df09e6697 100644 --- a/src/agents/realtime/model_inputs.py +++ b/src/agents/realtime/model_inputs.py @@ -5,6 +5,7 @@ from typing_extensions import NotRequired, TypeAlias, TypedDict +from .config import RealtimeSessionModelSettings from .model_events import RealtimeModelToolCallEvent @@ -81,10 +82,19 @@ class RealtimeModelSendInterrupt: """Send an interrupt to the model.""" +@dataclass +class RealtimeModelSendSessionUpdate: + """Send a session update to the model.""" + + session_settings: RealtimeSessionModelSettings + """The updated session settings to send.""" + + RealtimeModelSendEvent: TypeAlias = Union[ RealtimeModelSendRawMessage, RealtimeModelSendUserInput, RealtimeModelSendAudio, RealtimeModelSendToolOutput, RealtimeModelSendInterrupt, + RealtimeModelSendSessionUpdate, ] diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index b73ca8503..b79227d2e 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -8,16 +8,22 @@ from datetime import datetime from typing import Any, Callable, Literal +import pydantic import websockets from openai.types.beta.realtime.conversation_item import ConversationItem from openai.types.beta.realtime.realtime_server_event import ( RealtimeServerEvent as OpenAIRealtimeServerEvent, ) from openai.types.beta.realtime.response_audio_delta_event import ResponseAudioDeltaEvent +from openai.types.beta.realtime.session_update_event import ( + Session as OpenAISessionObject, + SessionTool as OpenAISessionTool, +) from pydantic import TypeAdapter from typing_extensions import assert_never from websockets.asyncio.client import ClientConnection +from agents.tool import FunctionTool, Tool from agents.util._types import MaybeAwaitable from ..exceptions import UserError @@ -52,10 +58,22 @@ RealtimeModelSendEvent, RealtimeModelSendInterrupt, RealtimeModelSendRawMessage, + RealtimeModelSendSessionUpdate, RealtimeModelSendToolOutput, RealtimeModelSendUserInput, ) +DEFAULT_MODEL_SETTINGS: RealtimeSessionModelSettings = { + "voice": "ash", + "modalities": ["text", "audio"], + "input_audio_format": "pcm16", + "output_audio_format": "pcm16", + "input_audio_transcription": { + "model": "gpt-4o-mini-transcribe", + }, + "turn_detection": {"type": "semantic_vad"}, +} + async def get_api_key(key: str | Callable[[], MaybeAwaitable[str]] | None) -> str | None: if isinstance(key, str): @@ -110,6 +128,7 @@ async def connect(self, options: RealtimeModelConfig) -> None: } self._websocket = await websockets.connect(url, additional_headers=headers) self._websocket_task = asyncio.create_task(self._listen_for_messages()) + await self._update_session_config(model_settings) async def _send_tracing_config( self, tracing_config: RealtimeModelTracingConfig | Literal["auto"] | None @@ -127,11 +146,13 @@ async def _send_tracing_config( def add_listener(self, listener: RealtimeModelListener) -> None: """Add a listener to the model.""" - self._listeners.append(listener) + if listener not in self._listeners: + self._listeners.append(listener) def remove_listener(self, listener: RealtimeModelListener) -> None: """Remove a listener from the model.""" - self._listeners.remove(listener) + if listener in self._listeners: + self._listeners.remove(listener) async def _emit_event(self, event: RealtimeModelEvent) -> None: """Emit an event to the listeners.""" @@ -187,6 +208,8 @@ async def send_event(self, event: RealtimeModelSendEvent) -> None: await self._send_tool_output(event) elif isinstance(event, RealtimeModelSendInterrupt): await self._send_interrupt(event) + elif isinstance(event, RealtimeModelSendSessionUpdate): + await self._send_session_update(event) else: assert_never(event) raise ValueError(f"Unknown event type: {type(event)}") @@ -195,78 +218,55 @@ async def _send_raw_message(self, event: RealtimeModelSendRawMessage) -> None: """Send a raw message to the model.""" assert self._websocket is not None, "Not connected" - try: - converted_event = { - "type": event.message["type"], - } + converted_event = { + "type": event.message["type"], + } - converted_event.update(event.message.get("other_data", {})) + converted_event.update(event.message.get("other_data", {})) - await self._websocket.send(json.dumps(converted_event)) - except Exception as e: - await self._emit_event( - RealtimeModelExceptionEvent( - exception=e, - context=f"Failed to send event: {event.message.get('type', 'unknown')}", - ) - ) + await self._websocket.send(json.dumps(converted_event)) async def _send_user_input(self, event: RealtimeModelSendUserInput) -> None: - """Send a user input to the model.""" - try: - message = ( - event.user_input - if isinstance(event.user_input, dict) - else { - "type": "message", - "role": "user", - "content": [{"type": "input_text", "text": event.user_input}], - } - ) - other_data = { - "item": message, + message = ( + event.user_input + if isinstance(event.user_input, dict) + else { + "type": "message", + "role": "user", + "content": [{"type": "input_text", "text": event.user_input}], } + ) + other_data = { + "item": message, + } - await self._send_raw_message( - RealtimeModelSendRawMessage( - message={"type": "conversation.item.create", "other_data": other_data} - ) - ) - await self._send_raw_message( - RealtimeModelSendRawMessage(message={"type": "response.create"}) - ) - except Exception as e: - await self._emit_event( - RealtimeModelExceptionEvent(exception=e, context="Failed to send message") + await self._send_raw_message( + RealtimeModelSendRawMessage( + message={"type": "conversation.item.create", "other_data": other_data} ) + ) + await self._send_raw_message( + RealtimeModelSendRawMessage(message={"type": "response.create"}) + ) async def _send_audio(self, event: RealtimeModelSendAudio) -> None: - """Send audio to the model.""" - assert self._websocket is not None, "Not connected" - - try: - base64_audio = base64.b64encode(event.audio).decode("utf-8") - await self._send_raw_message( - RealtimeModelSendRawMessage( - message={ - "type": "input_audio_buffer.append", - "other_data": { - "audio": base64_audio, - }, - } - ) + base64_audio = base64.b64encode(event.audio).decode("utf-8") + await self._send_raw_message( + RealtimeModelSendRawMessage( + message={ + "type": "input_audio_buffer.append", + "other_data": { + "audio": base64_audio, + }, + } ) - if event.commit: - await self._send_raw_message( - RealtimeModelSendRawMessage(message={"type": "input_audio_buffer.commit"}) - ) - except Exception as e: - await self._emit_event( - RealtimeModelExceptionEvent(exception=e, context="Failed to send audio") + ) + if event.commit: + await self._send_raw_message( + RealtimeModelSendRawMessage(message={"type": "input_audio_buffer.commit"}) ) async def _send_tool_output(self, event: RealtimeModelSendToolOutput) -> None: - """Send tool output to the model.""" await self._send_raw_message( RealtimeModelSendRawMessage( message={ @@ -299,7 +299,6 @@ async def _send_tool_output(self, event: RealtimeModelSendToolOutput) -> None: ) async def _send_interrupt(self, event: RealtimeModelSendInterrupt) -> None: - """Send an interrupt to the model.""" if not self._current_item_id or not self._audio_start_time: return @@ -326,6 +325,10 @@ async def _send_interrupt(self, event: RealtimeModelSendInterrupt) -> None: self._audio_length_ms = 0.0 self._current_audio_content_index = None + async def _send_session_update(self, event: RealtimeModelSendSessionUpdate) -> None: + """Send a session update to the model.""" + await self._update_session_config(event.session_settings) + async def _handle_audio_delta(self, parsed: ResponseAudioDeltaEvent) -> None: """Handle audio delta events and update audio tracking state.""" self._current_audio_content_index = parsed.content_index @@ -418,8 +421,17 @@ async def _handle_ws_event(self, event: dict[str, Any]): parsed: OpenAIRealtimeServerEvent = TypeAdapter( OpenAIRealtimeServerEvent ).validate_python(event) + except pydantic.ValidationError as e: + logger.error(f"Failed to validate server event: {event}", exc_info=True) + await self._emit_event( + RealtimeModelErrorEvent( + error=e, + ) + ) + return except Exception as e: event_type = event.get("type", "unknown") if isinstance(event, dict) else "unknown" + logger.error(f"Failed to validate server event: {event}", exc_info=True) await self._emit_event( RealtimeModelExceptionEvent( exception=e, @@ -492,3 +504,66 @@ async def _handle_ws_event(self, event: dict[str, Any]): or parsed.type == "response.output_item.done" ): await self._handle_output_item(parsed.item) + + async def _update_session_config(self, model_settings: RealtimeSessionModelSettings) -> None: + session_config = self._get_session_config(model_settings) + await self._send_raw_message( + RealtimeModelSendRawMessage( + message={ + "type": "session.update", + "other_data": { + "session": session_config.model_dump(exclude_unset=True, exclude_none=True) + }, + } + ) + ) + + def _get_session_config( + self, model_settings: RealtimeSessionModelSettings + ) -> OpenAISessionObject: + """Get the session config.""" + return OpenAISessionObject( + instructions=model_settings.get("instructions", None), + model=( + model_settings.get("model_name", self.model) # type: ignore + or DEFAULT_MODEL_SETTINGS.get("model_name") + ), + voice=model_settings.get("voice", DEFAULT_MODEL_SETTINGS.get("voice")), + modalities=model_settings.get("modalities", DEFAULT_MODEL_SETTINGS.get("modalities")), + input_audio_format=model_settings.get( + "input_audio_format", + DEFAULT_MODEL_SETTINGS.get("input_audio_format"), # type: ignore + ), + output_audio_format=model_settings.get( + "output_audio_format", + DEFAULT_MODEL_SETTINGS.get("output_audio_format"), # type: ignore + ), + input_audio_transcription=model_settings.get( + "input_audio_transcription", + DEFAULT_MODEL_SETTINGS.get("input_audio_transcription"), # type: ignore + ), + turn_detection=model_settings.get( + "turn_detection", + DEFAULT_MODEL_SETTINGS.get("turn_detection"), # type: ignore + ), + tool_choice=model_settings.get( + "tool_choice", + DEFAULT_MODEL_SETTINGS.get("tool_choice"), # type: ignore + ), + tools=self._tools_to_session_tools(model_settings.get("tools", [])), + ) + + def _tools_to_session_tools(self, tools: list[Tool]) -> list[OpenAISessionTool]: + converted_tools: list[OpenAISessionTool] = [] + for tool in tools: + if not isinstance(tool, FunctionTool): + raise UserError(f"Tool {tool.name} is unsupported. Must be a function tool.") + converted_tools.append( + OpenAISessionTool( + name=tool.name, + description=tool.description, + parameters=tool.params_json_schema, + type="function", + ) + ) + return converted_tools diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index 04ce09bea..57c58ffb7 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -7,12 +7,13 @@ from typing_extensions import assert_never from ..agent import Agent +from ..exceptions import ModelBehaviorError, UserError from ..handoffs import Handoff from ..run_context import RunContextWrapper, TContext from ..tool import FunctionTool from ..tool_context import ToolContext from .agent import RealtimeAgent -from .config import RealtimeRunConfig, RealtimeUserInput +from .config import RealtimeRunConfig, RealtimeSessionModelSettings, RealtimeUserInput from .events import ( RealtimeAgentEndEvent, RealtimeAgentStartEvent, @@ -22,6 +23,7 @@ RealtimeError, RealtimeEventInfo, RealtimeGuardrailTripped, + RealtimeHandoffEvent, RealtimeHistoryAdded, RealtimeHistoryUpdated, RealtimeRawModelEvent, @@ -39,6 +41,7 @@ from .model_inputs import ( RealtimeModelSendAudio, RealtimeModelSendInterrupt, + RealtimeModelSendSessionUpdate, RealtimeModelSendToolOutput, RealtimeModelSendUserInput, ) @@ -269,9 +272,11 @@ async def _handle_tool_call(self, event: RealtimeModelToolCallEvent) -> None: tool_context = ToolContext.from_agent_context(self._context_wrapper, event.call_id) result = await func_tool.on_invoke_tool(tool_context, event.arguments) - await self._model.send_event(RealtimeModelSendToolOutput( - tool_call=event, output=str(result), start_response=True - )) + await self._model.send_event( + RealtimeModelSendToolOutput( + tool_call=event, output=str(result), start_response=True + ) + ) await self._put_event( RealtimeToolEnd( @@ -282,11 +287,47 @@ async def _handle_tool_call(self, event: RealtimeModelToolCallEvent) -> None: ) ) elif event.name in handoff_map: - # TODO (rm) Add support for handoffs - pass + handoff = handoff_map[event.name] + tool_context = ToolContext.from_agent_context(self._context_wrapper, event.call_id) + + # Execute the handoff to get the new agent + result = await handoff.on_invoke_handoff(self._context_wrapper, event.arguments) + if not isinstance(result, RealtimeAgent): + raise UserError(f"Handoff {handoff.name} returned invalid result: {type(result)}") + + # Store previous agent for event + previous_agent = self._current_agent + + # Update current agent + self._current_agent = result + + # Get updated model settings from new agent + updated_settings = await self._get__updated_model_settings(self._current_agent) + + # Send handoff event + await self._put_event( + RealtimeHandoffEvent( + from_agent=previous_agent, + to_agent=self._current_agent, + info=self._event_info, + ) + ) + + # Send tool output to complete the handoff + await self._model.send_event( + RealtimeModelSendToolOutput( + tool_call=event, + output=f"Handed off to {self._current_agent.name}", + start_response=True, + ) + ) + + # Send session update to model + await self._model.send_event( + RealtimeModelSendSessionUpdate(session_settings=updated_settings) + ) else: - # TODO (rm) Add error handling - pass + raise ModelBehaviorError(f"Tool {event.name} not found") @classmethod def _get_new_history( @@ -379,9 +420,11 @@ async def _run_output_guardrails(self, text: str) -> bool: # Send guardrail triggered message guardrail_names = [result.guardrail.get_name() for result in triggered_results] - await self._model.send_event(RealtimeModelSendUserInput( - user_input=f"guardrail triggered: {', '.join(guardrail_names)}" - )) + await self._model.send_event( + RealtimeModelSendUserInput( + user_input=f"guardrail triggered: {', '.join(guardrail_names)}" + ) + ) return True @@ -434,3 +477,16 @@ async def _cleanup(self) -> None: # Mark as closed self._closed = True + + async def _get__updated_model_settings( + self, new_agent: RealtimeAgent + ) -> RealtimeSessionModelSettings: + updated_settings: RealtimeSessionModelSettings = {} + instructions, tools = await asyncio.gather( + new_agent.get_system_prompt(self._context_wrapper), + new_agent.get_all_tools(self._context_wrapper), + ) + updated_settings["instructions"] = instructions or "" + updated_settings["tools"] = tools or [] + + return updated_settings diff --git a/tests/realtime/test_openai_realtime.py b/tests/realtime/test_openai_realtime.py index 7cd9a5c30..9ecc433ca 100644 --- a/tests/realtime/test_openai_realtime.py +++ b/tests/realtime/test_openai_realtime.py @@ -174,22 +174,21 @@ class TestEventHandlingRobustness(TestOpenAIRealtimeWebSocketModel): @pytest.mark.asyncio async def test_handle_malformed_json_logs_error_continues(self, model): - """Test that malformed JSON emits exception event but doesn't crash.""" + """Test that malformed JSON emits error event but doesn't crash.""" mock_listener = AsyncMock() model.add_listener(mock_listener) # Malformed JSON should not crash the handler await model._handle_ws_event("invalid json {") - # Should emit exception event to listeners + # Should emit error event to listeners mock_listener.on_event.assert_called_once() - exception_event = mock_listener.on_event.call_args[0][0] - assert exception_event.type == "exception" - assert "Failed to validate server event: unknown" in exception_event.context + error_event = mock_listener.on_event.call_args[0][0] + assert error_event.type == "error" @pytest.mark.asyncio async def test_handle_invalid_event_schema_logs_error(self, model): - """Test that events with invalid schema emit exception events but don't crash.""" + """Test that events with invalid schema emit error events but don't crash.""" mock_listener = AsyncMock() model.add_listener(mock_listener) @@ -197,11 +196,10 @@ async def test_handle_invalid_event_schema_logs_error(self, model): await model._handle_ws_event(invalid_event) - # Should emit exception event to listeners + # Should emit error event to listeners mock_listener.on_event.assert_called_once() - exception_event = mock_listener.on_event.call_args[0][0] - assert exception_event.type == "exception" - assert "Failed to validate server event: response.audio.delta" in exception_event.context + error_event = mock_listener.on_event.call_args[0][0] + assert error_event.type == "error" @pytest.mark.asyncio async def test_handle_unknown_event_type_ignored(self, model): diff --git a/tests/realtime/test_session.py b/tests/realtime/test_session.py index 4cee9e537..b903ee951 100644 --- a/tests/realtime/test_session.py +++ b/tests/realtime/test_session.py @@ -794,8 +794,23 @@ async def test_function_tool_with_multiple_tools_available(self, mock_model, moc assert sent_output == "result_two" @pytest.mark.asyncio - async def test_handoff_tool_handling_todo(self, mock_model, mock_agent, mock_handoff): - """Test that handoff tools are recognized but not yet implemented""" + async def test_handoff_tool_handling(self, mock_model, mock_agent, mock_handoff): + """Test that handoff tools are properly handled""" + from unittest.mock import AsyncMock + + from agents.realtime.agent import RealtimeAgent + + # Create a mock new agent to be returned by handoff + mock_new_agent = Mock(spec=RealtimeAgent) + mock_new_agent.name = "new_agent" + mock_new_agent.instructions = "New agent instructions" + mock_new_agent.get_all_tools = AsyncMock(return_value=[]) + mock_new_agent.get_system_prompt = AsyncMock(return_value="New agent system prompt") + + # Set up handoff to return the new agent + mock_handoff.on_invoke_handoff = AsyncMock(return_value=mock_new_agent) + mock_handoff.name = "test_handoff" + # Set up agent to return handoff tool mock_agent.get_all_tools.return_value = [mock_handoff] @@ -807,15 +822,22 @@ async def test_handoff_tool_handling_todo(self, mock_model, mock_agent, mock_han await session._handle_tool_call(tool_call_event) - # Should not have sent any tool outputs (handoffs not implemented) - assert len(mock_model.sent_tool_outputs) == 0 + # Should have sent session update and tool output + assert len(mock_model.sent_events) >= 2 + + # Should have sent handoff event + assert session._event_queue.qsize() >= 1 - # Should not have queued any events (handoffs not implemented) - assert session._event_queue.qsize() == 0 + # Verify agent was updated + assert session._current_agent == mock_new_agent @pytest.mark.asyncio - async def test_unknown_tool_handling_todo(self, mock_model, mock_agent, mock_function_tool): - """Test that unknown tools are handled gracefully (TODO: add error handling)""" + async def test_unknown_tool_handling(self, mock_model, mock_agent, mock_function_tool): + """Test that unknown tools raise an error""" + import pytest + + from agents.exceptions import ModelBehaviorError + # Set up agent to return different tool than what's called mock_function_tool.name = "known_tool" mock_agent.get_all_tools.return_value = [mock_function_tool] @@ -827,17 +849,13 @@ async def test_unknown_tool_handling_todo(self, mock_model, mock_agent, mock_fun name="unknown_tool", call_id="call_unknown", arguments="{}" ) - await session._handle_tool_call(tool_call_event) + # Should raise an error for unknown tool + with pytest.raises(ModelBehaviorError, match="Tool unknown_tool not found"): + await session._handle_tool_call(tool_call_event) # Should not have called any tools mock_function_tool.on_invoke_tool.assert_not_called() - # Should not have sent any tool outputs - assert len(mock_model.sent_tool_outputs) == 0 - - # Should not have queued any events - assert session._event_queue.qsize() == 0 - @pytest.mark.asyncio async def test_function_tool_exception_handling( self, mock_model, mock_agent, mock_function_tool diff --git a/tests/realtime/test_tracing.py b/tests/realtime/test_tracing.py index 3548829dd..4cff46c49 100644 --- a/tests/realtime/test_tracing.py +++ b/tests/realtime/test_tracing.py @@ -100,6 +100,7 @@ async def async_websocket(*args, **kwargs): # Should send session.update with tracing config from agents.realtime.model_inputs import RealtimeModelSendRawMessage + expected_event = RealtimeModelSendRawMessage( message={ "type": "session.update", @@ -144,6 +145,7 @@ async def async_websocket(*args, **kwargs): # Should send session.update with "auto" from agents.realtime.model_inputs import RealtimeModelSendRawMessage + expected_event = RealtimeModelSendRawMessage( message={ "type": "session.update", @@ -208,6 +210,7 @@ async def async_websocket(*args, **kwargs): # Should send session.update with complete tracing config including metadata from agents.realtime.model_inputs import RealtimeModelSendRawMessage + expected_event = RealtimeModelSendRawMessage( message={ "type": "session.update", From 1ac20929b22820a36c8347778fa70a75659f3f3b Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 14 Jul 2025 17:55:05 -0400 Subject: [PATCH 224/337] Realtime: send session.update event at connection --- examples/realtime/demo.py | 78 +++++----- examples/realtime/ui.py | 5 +- src/agents/realtime/model_inputs.py | 10 ++ src/agents/realtime/openai_realtime.py | 199 +++++++++++++++++-------- src/agents/realtime/session.py | 78 ++++++++-- tests/realtime/test_openai_realtime.py | 18 +-- tests/realtime/test_session.py | 48 ++++-- tests/realtime/test_tracing.py | 3 + 8 files changed, 293 insertions(+), 146 deletions(-) diff --git a/examples/realtime/demo.py b/examples/realtime/demo.py index 61834a4e5..7b98850b2 100644 --- a/examples/realtime/demo.py +++ b/examples/realtime/demo.py @@ -58,55 +58,45 @@ async def run(self) -> None: self.session = session self.ui.set_is_connected(True) async for event in session: - await self.on_event(event) + await self._on_event(event) + print("done") # Wait for UI task to complete when session ends await ui_task async def on_audio_recorded(self, audio_bytes: bytes) -> None: - """Called when audio is recorded by the UI.""" - try: - # Send the audio to the session - assert self.session is not None - await self.session.send_audio(audio_bytes) - except Exception as e: - self.ui.log_message(f"Error sending audio: {e}") - - async def on_event(self, event: RealtimeSessionEvent) -> None: - # Display event in the UI - try: - if event.type == "agent_start": - self.ui.add_transcript(f"Agent started: {event.agent.name}") - elif event.type == "agent_end": - self.ui.add_transcript(f"Agent ended: {event.agent.name}") - elif event.type == "handoff": - self.ui.add_transcript( - f"Handoff from {event.from_agent.name} to {event.to_agent.name}" - ) - elif event.type == "tool_start": - self.ui.add_transcript(f"Tool started: {event.tool.name}") - elif event.type == "tool_end": - self.ui.add_transcript(f"Tool ended: {event.tool.name}; output: {event.output}") - elif event.type == "audio_end": - self.ui.add_transcript("Audio ended") - elif event.type == "audio": - np_audio = np.frombuffer(event.audio.data, dtype=np.int16) - self.ui.play_audio(np_audio) - elif event.type == "audio_interrupted": - self.ui.add_transcript("Audio interrupted") - elif event.type == "error": - self.ui.add_transcript(f"Error: {event.error}") - elif event.type == "history_updated": - pass - elif event.type == "history_added": - pass - elif event.type == "raw_model_event": - self.ui.log_message(f"Raw model event: {event.data}") - else: - self.ui.log_message(f"Unknown event type: {event.type}") - except Exception as e: - # This can happen if the UI has already exited - self.ui.log_message(f"Event handling error: {str(e)}") + # Send the audio to the session + assert self.session is not None + await self.session.send_audio(audio_bytes) + + async def _on_event(self, event: RealtimeSessionEvent) -> None: + if event.type == "agent_start": + self.ui.add_transcript(f"Agent started: {event.agent.name}") + elif event.type == "agent_end": + self.ui.add_transcript(f"Agent ended: {event.agent.name}") + elif event.type == "handoff": + self.ui.add_transcript(f"Handoff from {event.from_agent.name} to {event.to_agent.name}") + elif event.type == "tool_start": + self.ui.add_transcript(f"Tool started: {event.tool.name}") + elif event.type == "tool_end": + self.ui.add_transcript(f"Tool ended: {event.tool.name}; output: {event.output}") + elif event.type == "audio_end": + self.ui.add_transcript("Audio ended") + elif event.type == "audio": + np_audio = np.frombuffer(event.audio.data, dtype=np.int16) + self.ui.play_audio(np_audio) + elif event.type == "audio_interrupted": + self.ui.add_transcript("Audio interrupted") + elif event.type == "error": + self.ui.add_transcript(f"Error: {event.error}") + elif event.type == "history_updated": + pass + elif event.type == "history_added": + pass + elif event.type == "raw_model_event": + self.ui.log_message(f"Raw model event: {event.data}") + else: + self.ui.log_message(f"Unknown event type: {event.type}") if __name__ == "__main__": diff --git a/examples/realtime/ui.py b/examples/realtime/ui.py index 1ba055835..51a1fed41 100644 --- a/examples/realtime/ui.py +++ b/examples/realtime/ui.py @@ -239,10 +239,7 @@ async def capture_audio(self) -> None: # Call audio callback if set if self.audio_callback: - try: - await self.audio_callback(audio_bytes) - except Exception as e: - self.log_message(f"Audio callback error: {e}") + await self.audio_callback(audio_bytes) # Yield control back to event loop await asyncio.sleep(0) diff --git a/src/agents/realtime/model_inputs.py b/src/agents/realtime/model_inputs.py index eb8e8220d..df09e6697 100644 --- a/src/agents/realtime/model_inputs.py +++ b/src/agents/realtime/model_inputs.py @@ -5,6 +5,7 @@ from typing_extensions import NotRequired, TypeAlias, TypedDict +from .config import RealtimeSessionModelSettings from .model_events import RealtimeModelToolCallEvent @@ -81,10 +82,19 @@ class RealtimeModelSendInterrupt: """Send an interrupt to the model.""" +@dataclass +class RealtimeModelSendSessionUpdate: + """Send a session update to the model.""" + + session_settings: RealtimeSessionModelSettings + """The updated session settings to send.""" + + RealtimeModelSendEvent: TypeAlias = Union[ RealtimeModelSendRawMessage, RealtimeModelSendUserInput, RealtimeModelSendAudio, RealtimeModelSendToolOutput, RealtimeModelSendInterrupt, + RealtimeModelSendSessionUpdate, ] diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index b73ca8503..b79227d2e 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -8,16 +8,22 @@ from datetime import datetime from typing import Any, Callable, Literal +import pydantic import websockets from openai.types.beta.realtime.conversation_item import ConversationItem from openai.types.beta.realtime.realtime_server_event import ( RealtimeServerEvent as OpenAIRealtimeServerEvent, ) from openai.types.beta.realtime.response_audio_delta_event import ResponseAudioDeltaEvent +from openai.types.beta.realtime.session_update_event import ( + Session as OpenAISessionObject, + SessionTool as OpenAISessionTool, +) from pydantic import TypeAdapter from typing_extensions import assert_never from websockets.asyncio.client import ClientConnection +from agents.tool import FunctionTool, Tool from agents.util._types import MaybeAwaitable from ..exceptions import UserError @@ -52,10 +58,22 @@ RealtimeModelSendEvent, RealtimeModelSendInterrupt, RealtimeModelSendRawMessage, + RealtimeModelSendSessionUpdate, RealtimeModelSendToolOutput, RealtimeModelSendUserInput, ) +DEFAULT_MODEL_SETTINGS: RealtimeSessionModelSettings = { + "voice": "ash", + "modalities": ["text", "audio"], + "input_audio_format": "pcm16", + "output_audio_format": "pcm16", + "input_audio_transcription": { + "model": "gpt-4o-mini-transcribe", + }, + "turn_detection": {"type": "semantic_vad"}, +} + async def get_api_key(key: str | Callable[[], MaybeAwaitable[str]] | None) -> str | None: if isinstance(key, str): @@ -110,6 +128,7 @@ async def connect(self, options: RealtimeModelConfig) -> None: } self._websocket = await websockets.connect(url, additional_headers=headers) self._websocket_task = asyncio.create_task(self._listen_for_messages()) + await self._update_session_config(model_settings) async def _send_tracing_config( self, tracing_config: RealtimeModelTracingConfig | Literal["auto"] | None @@ -127,11 +146,13 @@ async def _send_tracing_config( def add_listener(self, listener: RealtimeModelListener) -> None: """Add a listener to the model.""" - self._listeners.append(listener) + if listener not in self._listeners: + self._listeners.append(listener) def remove_listener(self, listener: RealtimeModelListener) -> None: """Remove a listener from the model.""" - self._listeners.remove(listener) + if listener in self._listeners: + self._listeners.remove(listener) async def _emit_event(self, event: RealtimeModelEvent) -> None: """Emit an event to the listeners.""" @@ -187,6 +208,8 @@ async def send_event(self, event: RealtimeModelSendEvent) -> None: await self._send_tool_output(event) elif isinstance(event, RealtimeModelSendInterrupt): await self._send_interrupt(event) + elif isinstance(event, RealtimeModelSendSessionUpdate): + await self._send_session_update(event) else: assert_never(event) raise ValueError(f"Unknown event type: {type(event)}") @@ -195,78 +218,55 @@ async def _send_raw_message(self, event: RealtimeModelSendRawMessage) -> None: """Send a raw message to the model.""" assert self._websocket is not None, "Not connected" - try: - converted_event = { - "type": event.message["type"], - } + converted_event = { + "type": event.message["type"], + } - converted_event.update(event.message.get("other_data", {})) + converted_event.update(event.message.get("other_data", {})) - await self._websocket.send(json.dumps(converted_event)) - except Exception as e: - await self._emit_event( - RealtimeModelExceptionEvent( - exception=e, - context=f"Failed to send event: {event.message.get('type', 'unknown')}", - ) - ) + await self._websocket.send(json.dumps(converted_event)) async def _send_user_input(self, event: RealtimeModelSendUserInput) -> None: - """Send a user input to the model.""" - try: - message = ( - event.user_input - if isinstance(event.user_input, dict) - else { - "type": "message", - "role": "user", - "content": [{"type": "input_text", "text": event.user_input}], - } - ) - other_data = { - "item": message, + message = ( + event.user_input + if isinstance(event.user_input, dict) + else { + "type": "message", + "role": "user", + "content": [{"type": "input_text", "text": event.user_input}], } + ) + other_data = { + "item": message, + } - await self._send_raw_message( - RealtimeModelSendRawMessage( - message={"type": "conversation.item.create", "other_data": other_data} - ) - ) - await self._send_raw_message( - RealtimeModelSendRawMessage(message={"type": "response.create"}) - ) - except Exception as e: - await self._emit_event( - RealtimeModelExceptionEvent(exception=e, context="Failed to send message") + await self._send_raw_message( + RealtimeModelSendRawMessage( + message={"type": "conversation.item.create", "other_data": other_data} ) + ) + await self._send_raw_message( + RealtimeModelSendRawMessage(message={"type": "response.create"}) + ) async def _send_audio(self, event: RealtimeModelSendAudio) -> None: - """Send audio to the model.""" - assert self._websocket is not None, "Not connected" - - try: - base64_audio = base64.b64encode(event.audio).decode("utf-8") - await self._send_raw_message( - RealtimeModelSendRawMessage( - message={ - "type": "input_audio_buffer.append", - "other_data": { - "audio": base64_audio, - }, - } - ) + base64_audio = base64.b64encode(event.audio).decode("utf-8") + await self._send_raw_message( + RealtimeModelSendRawMessage( + message={ + "type": "input_audio_buffer.append", + "other_data": { + "audio": base64_audio, + }, + } ) - if event.commit: - await self._send_raw_message( - RealtimeModelSendRawMessage(message={"type": "input_audio_buffer.commit"}) - ) - except Exception as e: - await self._emit_event( - RealtimeModelExceptionEvent(exception=e, context="Failed to send audio") + ) + if event.commit: + await self._send_raw_message( + RealtimeModelSendRawMessage(message={"type": "input_audio_buffer.commit"}) ) async def _send_tool_output(self, event: RealtimeModelSendToolOutput) -> None: - """Send tool output to the model.""" await self._send_raw_message( RealtimeModelSendRawMessage( message={ @@ -299,7 +299,6 @@ async def _send_tool_output(self, event: RealtimeModelSendToolOutput) -> None: ) async def _send_interrupt(self, event: RealtimeModelSendInterrupt) -> None: - """Send an interrupt to the model.""" if not self._current_item_id or not self._audio_start_time: return @@ -326,6 +325,10 @@ async def _send_interrupt(self, event: RealtimeModelSendInterrupt) -> None: self._audio_length_ms = 0.0 self._current_audio_content_index = None + async def _send_session_update(self, event: RealtimeModelSendSessionUpdate) -> None: + """Send a session update to the model.""" + await self._update_session_config(event.session_settings) + async def _handle_audio_delta(self, parsed: ResponseAudioDeltaEvent) -> None: """Handle audio delta events and update audio tracking state.""" self._current_audio_content_index = parsed.content_index @@ -418,8 +421,17 @@ async def _handle_ws_event(self, event: dict[str, Any]): parsed: OpenAIRealtimeServerEvent = TypeAdapter( OpenAIRealtimeServerEvent ).validate_python(event) + except pydantic.ValidationError as e: + logger.error(f"Failed to validate server event: {event}", exc_info=True) + await self._emit_event( + RealtimeModelErrorEvent( + error=e, + ) + ) + return except Exception as e: event_type = event.get("type", "unknown") if isinstance(event, dict) else "unknown" + logger.error(f"Failed to validate server event: {event}", exc_info=True) await self._emit_event( RealtimeModelExceptionEvent( exception=e, @@ -492,3 +504,66 @@ async def _handle_ws_event(self, event: dict[str, Any]): or parsed.type == "response.output_item.done" ): await self._handle_output_item(parsed.item) + + async def _update_session_config(self, model_settings: RealtimeSessionModelSettings) -> None: + session_config = self._get_session_config(model_settings) + await self._send_raw_message( + RealtimeModelSendRawMessage( + message={ + "type": "session.update", + "other_data": { + "session": session_config.model_dump(exclude_unset=True, exclude_none=True) + }, + } + ) + ) + + def _get_session_config( + self, model_settings: RealtimeSessionModelSettings + ) -> OpenAISessionObject: + """Get the session config.""" + return OpenAISessionObject( + instructions=model_settings.get("instructions", None), + model=( + model_settings.get("model_name", self.model) # type: ignore + or DEFAULT_MODEL_SETTINGS.get("model_name") + ), + voice=model_settings.get("voice", DEFAULT_MODEL_SETTINGS.get("voice")), + modalities=model_settings.get("modalities", DEFAULT_MODEL_SETTINGS.get("modalities")), + input_audio_format=model_settings.get( + "input_audio_format", + DEFAULT_MODEL_SETTINGS.get("input_audio_format"), # type: ignore + ), + output_audio_format=model_settings.get( + "output_audio_format", + DEFAULT_MODEL_SETTINGS.get("output_audio_format"), # type: ignore + ), + input_audio_transcription=model_settings.get( + "input_audio_transcription", + DEFAULT_MODEL_SETTINGS.get("input_audio_transcription"), # type: ignore + ), + turn_detection=model_settings.get( + "turn_detection", + DEFAULT_MODEL_SETTINGS.get("turn_detection"), # type: ignore + ), + tool_choice=model_settings.get( + "tool_choice", + DEFAULT_MODEL_SETTINGS.get("tool_choice"), # type: ignore + ), + tools=self._tools_to_session_tools(model_settings.get("tools", [])), + ) + + def _tools_to_session_tools(self, tools: list[Tool]) -> list[OpenAISessionTool]: + converted_tools: list[OpenAISessionTool] = [] + for tool in tools: + if not isinstance(tool, FunctionTool): + raise UserError(f"Tool {tool.name} is unsupported. Must be a function tool.") + converted_tools.append( + OpenAISessionTool( + name=tool.name, + description=tool.description, + parameters=tool.params_json_schema, + type="function", + ) + ) + return converted_tools diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index 04ce09bea..57c58ffb7 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -7,12 +7,13 @@ from typing_extensions import assert_never from ..agent import Agent +from ..exceptions import ModelBehaviorError, UserError from ..handoffs import Handoff from ..run_context import RunContextWrapper, TContext from ..tool import FunctionTool from ..tool_context import ToolContext from .agent import RealtimeAgent -from .config import RealtimeRunConfig, RealtimeUserInput +from .config import RealtimeRunConfig, RealtimeSessionModelSettings, RealtimeUserInput from .events import ( RealtimeAgentEndEvent, RealtimeAgentStartEvent, @@ -22,6 +23,7 @@ RealtimeError, RealtimeEventInfo, RealtimeGuardrailTripped, + RealtimeHandoffEvent, RealtimeHistoryAdded, RealtimeHistoryUpdated, RealtimeRawModelEvent, @@ -39,6 +41,7 @@ from .model_inputs import ( RealtimeModelSendAudio, RealtimeModelSendInterrupt, + RealtimeModelSendSessionUpdate, RealtimeModelSendToolOutput, RealtimeModelSendUserInput, ) @@ -269,9 +272,11 @@ async def _handle_tool_call(self, event: RealtimeModelToolCallEvent) -> None: tool_context = ToolContext.from_agent_context(self._context_wrapper, event.call_id) result = await func_tool.on_invoke_tool(tool_context, event.arguments) - await self._model.send_event(RealtimeModelSendToolOutput( - tool_call=event, output=str(result), start_response=True - )) + await self._model.send_event( + RealtimeModelSendToolOutput( + tool_call=event, output=str(result), start_response=True + ) + ) await self._put_event( RealtimeToolEnd( @@ -282,11 +287,47 @@ async def _handle_tool_call(self, event: RealtimeModelToolCallEvent) -> None: ) ) elif event.name in handoff_map: - # TODO (rm) Add support for handoffs - pass + handoff = handoff_map[event.name] + tool_context = ToolContext.from_agent_context(self._context_wrapper, event.call_id) + + # Execute the handoff to get the new agent + result = await handoff.on_invoke_handoff(self._context_wrapper, event.arguments) + if not isinstance(result, RealtimeAgent): + raise UserError(f"Handoff {handoff.name} returned invalid result: {type(result)}") + + # Store previous agent for event + previous_agent = self._current_agent + + # Update current agent + self._current_agent = result + + # Get updated model settings from new agent + updated_settings = await self._get__updated_model_settings(self._current_agent) + + # Send handoff event + await self._put_event( + RealtimeHandoffEvent( + from_agent=previous_agent, + to_agent=self._current_agent, + info=self._event_info, + ) + ) + + # Send tool output to complete the handoff + await self._model.send_event( + RealtimeModelSendToolOutput( + tool_call=event, + output=f"Handed off to {self._current_agent.name}", + start_response=True, + ) + ) + + # Send session update to model + await self._model.send_event( + RealtimeModelSendSessionUpdate(session_settings=updated_settings) + ) else: - # TODO (rm) Add error handling - pass + raise ModelBehaviorError(f"Tool {event.name} not found") @classmethod def _get_new_history( @@ -379,9 +420,11 @@ async def _run_output_guardrails(self, text: str) -> bool: # Send guardrail triggered message guardrail_names = [result.guardrail.get_name() for result in triggered_results] - await self._model.send_event(RealtimeModelSendUserInput( - user_input=f"guardrail triggered: {', '.join(guardrail_names)}" - )) + await self._model.send_event( + RealtimeModelSendUserInput( + user_input=f"guardrail triggered: {', '.join(guardrail_names)}" + ) + ) return True @@ -434,3 +477,16 @@ async def _cleanup(self) -> None: # Mark as closed self._closed = True + + async def _get__updated_model_settings( + self, new_agent: RealtimeAgent + ) -> RealtimeSessionModelSettings: + updated_settings: RealtimeSessionModelSettings = {} + instructions, tools = await asyncio.gather( + new_agent.get_system_prompt(self._context_wrapper), + new_agent.get_all_tools(self._context_wrapper), + ) + updated_settings["instructions"] = instructions or "" + updated_settings["tools"] = tools or [] + + return updated_settings diff --git a/tests/realtime/test_openai_realtime.py b/tests/realtime/test_openai_realtime.py index 7cd9a5c30..9ecc433ca 100644 --- a/tests/realtime/test_openai_realtime.py +++ b/tests/realtime/test_openai_realtime.py @@ -174,22 +174,21 @@ class TestEventHandlingRobustness(TestOpenAIRealtimeWebSocketModel): @pytest.mark.asyncio async def test_handle_malformed_json_logs_error_continues(self, model): - """Test that malformed JSON emits exception event but doesn't crash.""" + """Test that malformed JSON emits error event but doesn't crash.""" mock_listener = AsyncMock() model.add_listener(mock_listener) # Malformed JSON should not crash the handler await model._handle_ws_event("invalid json {") - # Should emit exception event to listeners + # Should emit error event to listeners mock_listener.on_event.assert_called_once() - exception_event = mock_listener.on_event.call_args[0][0] - assert exception_event.type == "exception" - assert "Failed to validate server event: unknown" in exception_event.context + error_event = mock_listener.on_event.call_args[0][0] + assert error_event.type == "error" @pytest.mark.asyncio async def test_handle_invalid_event_schema_logs_error(self, model): - """Test that events with invalid schema emit exception events but don't crash.""" + """Test that events with invalid schema emit error events but don't crash.""" mock_listener = AsyncMock() model.add_listener(mock_listener) @@ -197,11 +196,10 @@ async def test_handle_invalid_event_schema_logs_error(self, model): await model._handle_ws_event(invalid_event) - # Should emit exception event to listeners + # Should emit error event to listeners mock_listener.on_event.assert_called_once() - exception_event = mock_listener.on_event.call_args[0][0] - assert exception_event.type == "exception" - assert "Failed to validate server event: response.audio.delta" in exception_event.context + error_event = mock_listener.on_event.call_args[0][0] + assert error_event.type == "error" @pytest.mark.asyncio async def test_handle_unknown_event_type_ignored(self, model): diff --git a/tests/realtime/test_session.py b/tests/realtime/test_session.py index 4cee9e537..b903ee951 100644 --- a/tests/realtime/test_session.py +++ b/tests/realtime/test_session.py @@ -794,8 +794,23 @@ async def test_function_tool_with_multiple_tools_available(self, mock_model, moc assert sent_output == "result_two" @pytest.mark.asyncio - async def test_handoff_tool_handling_todo(self, mock_model, mock_agent, mock_handoff): - """Test that handoff tools are recognized but not yet implemented""" + async def test_handoff_tool_handling(self, mock_model, mock_agent, mock_handoff): + """Test that handoff tools are properly handled""" + from unittest.mock import AsyncMock + + from agents.realtime.agent import RealtimeAgent + + # Create a mock new agent to be returned by handoff + mock_new_agent = Mock(spec=RealtimeAgent) + mock_new_agent.name = "new_agent" + mock_new_agent.instructions = "New agent instructions" + mock_new_agent.get_all_tools = AsyncMock(return_value=[]) + mock_new_agent.get_system_prompt = AsyncMock(return_value="New agent system prompt") + + # Set up handoff to return the new agent + mock_handoff.on_invoke_handoff = AsyncMock(return_value=mock_new_agent) + mock_handoff.name = "test_handoff" + # Set up agent to return handoff tool mock_agent.get_all_tools.return_value = [mock_handoff] @@ -807,15 +822,22 @@ async def test_handoff_tool_handling_todo(self, mock_model, mock_agent, mock_han await session._handle_tool_call(tool_call_event) - # Should not have sent any tool outputs (handoffs not implemented) - assert len(mock_model.sent_tool_outputs) == 0 + # Should have sent session update and tool output + assert len(mock_model.sent_events) >= 2 + + # Should have sent handoff event + assert session._event_queue.qsize() >= 1 - # Should not have queued any events (handoffs not implemented) - assert session._event_queue.qsize() == 0 + # Verify agent was updated + assert session._current_agent == mock_new_agent @pytest.mark.asyncio - async def test_unknown_tool_handling_todo(self, mock_model, mock_agent, mock_function_tool): - """Test that unknown tools are handled gracefully (TODO: add error handling)""" + async def test_unknown_tool_handling(self, mock_model, mock_agent, mock_function_tool): + """Test that unknown tools raise an error""" + import pytest + + from agents.exceptions import ModelBehaviorError + # Set up agent to return different tool than what's called mock_function_tool.name = "known_tool" mock_agent.get_all_tools.return_value = [mock_function_tool] @@ -827,17 +849,13 @@ async def test_unknown_tool_handling_todo(self, mock_model, mock_agent, mock_fun name="unknown_tool", call_id="call_unknown", arguments="{}" ) - await session._handle_tool_call(tool_call_event) + # Should raise an error for unknown tool + with pytest.raises(ModelBehaviorError, match="Tool unknown_tool not found"): + await session._handle_tool_call(tool_call_event) # Should not have called any tools mock_function_tool.on_invoke_tool.assert_not_called() - # Should not have sent any tool outputs - assert len(mock_model.sent_tool_outputs) == 0 - - # Should not have queued any events - assert session._event_queue.qsize() == 0 - @pytest.mark.asyncio async def test_function_tool_exception_handling( self, mock_model, mock_agent, mock_function_tool diff --git a/tests/realtime/test_tracing.py b/tests/realtime/test_tracing.py index 3548829dd..4cff46c49 100644 --- a/tests/realtime/test_tracing.py +++ b/tests/realtime/test_tracing.py @@ -100,6 +100,7 @@ async def async_websocket(*args, **kwargs): # Should send session.update with tracing config from agents.realtime.model_inputs import RealtimeModelSendRawMessage + expected_event = RealtimeModelSendRawMessage( message={ "type": "session.update", @@ -144,6 +145,7 @@ async def async_websocket(*args, **kwargs): # Should send session.update with "auto" from agents.realtime.model_inputs import RealtimeModelSendRawMessage + expected_event = RealtimeModelSendRawMessage( message={ "type": "session.update", @@ -208,6 +210,7 @@ async def async_websocket(*args, **kwargs): # Should send session.update with complete tracing config including metadata from agents.realtime.model_inputs import RealtimeModelSendRawMessage + expected_event = RealtimeModelSendRawMessage( message={ "type": "session.update", From 97bfb13f34e0eeb224d394feb5c4a7a74867b434 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 14 Jul 2025 19:57:40 -0400 Subject: [PATCH 225/337] Realtime: export everything --- src/agents/realtime/__init__.py | 137 ++++++++++++++++++++++++++++---- 1 file changed, 122 insertions(+), 15 deletions(-) diff --git a/src/agents/realtime/__init__.py b/src/agents/realtime/__init__.py index 52b59edc3..d7b300c9a 100644 --- a/src/agents/realtime/__init__.py +++ b/src/agents/realtime/__init__.py @@ -2,8 +2,10 @@ from .config import ( RealtimeAudioFormat, RealtimeClientMessage, + RealtimeGuardrailsSettings, RealtimeInputAudioTranscriptionConfig, RealtimeModelName, + RealtimeModelTracingConfig, RealtimeRunConfig, RealtimeSessionModelSettings, RealtimeTurnDetectionConfig, @@ -18,6 +20,8 @@ RealtimeAudioEnd, RealtimeAudioInterrupted, RealtimeError, + RealtimeEventInfo, + RealtimeGuardrailTripped, RealtimeHandoffEvent, RealtimeHistoryAdded, RealtimeHistoryUpdated, @@ -32,38 +36,141 @@ RealtimeModelListener, ) from .runner import RealtimeRunner +from .items import ( + AssistantAudio, + AssistantMessageItem, + AssistantText, + InputAudio, + InputText, + RealtimeItem, + RealtimeMessageItem, + RealtimeResponse, + RealtimeToolCallItem, + SystemMessageItem, + UserMessageItem, +) +from .model_events import ( + RealtimeConnectionStatus, + RealtimeModelAudioDoneEvent, + RealtimeModelAudioEvent, + RealtimeModelAudioInterruptedEvent, + RealtimeModelConnectionStatusEvent, + RealtimeModelErrorEvent, + RealtimeModelEvent, + RealtimeModelExceptionEvent, + RealtimeModelInputAudioTranscriptionCompletedEvent, + RealtimeModelItemDeletedEvent, + RealtimeModelItemUpdatedEvent, + RealtimeModelOtherEvent, + RealtimeModelToolCallEvent, + RealtimeModelTranscriptDeltaEvent, + RealtimeModelTurnEndedEvent, + RealtimeModelTurnStartedEvent, +) +from .model_inputs import ( + RealtimeModelInputTextContent, + RealtimeModelRawClientMessage, + RealtimeModelSendAudio, + RealtimeModelSendEvent, + RealtimeModelSendInterrupt, + RealtimeModelSendRawMessage, + RealtimeModelSendSessionUpdate, + RealtimeModelSendToolOutput, + RealtimeModelSendUserInput, + RealtimeModelUserInput, + RealtimeModelUserInputMessage, +) +from .openai_realtime import ( + DEFAULT_MODEL_SETTINGS, + OpenAIRealtimeWebSocketModel, + get_api_key, +) from .session import RealtimeSession __all__ = [ + # Agent "RealtimeAgent", "RealtimeAgentHooks", "RealtimeRunHooks", "RealtimeRunner", + # Config + "RealtimeAudioFormat", + "RealtimeClientMessage", + "RealtimeGuardrailsSettings", + "RealtimeInputAudioTranscriptionConfig", + "RealtimeModelName", + "RealtimeModelTracingConfig", "RealtimeRunConfig", "RealtimeSessionModelSettings", - "RealtimeInputAudioTranscriptionConfig", "RealtimeTurnDetectionConfig", - "RealtimeAudioFormat", - "RealtimeClientMessage", "RealtimeUserInput", "RealtimeUserInputMessage", "RealtimeUserInputText", - "RealtimeModelName", - "RealtimeModel", - "RealtimeModelListener", - "RealtimeModelConfig", - "RealtimeSessionEvent", - "RealtimeAgentStartEvent", + # Events "RealtimeAgentEndEvent", - "RealtimeHandoffEvent", - "RealtimeToolStart", - "RealtimeToolEnd", - "RealtimeRawModelEvent", - "RealtimeAudioEnd", + "RealtimeAgentStartEvent", "RealtimeAudio", + "RealtimeAudioEnd", "RealtimeAudioInterrupted", "RealtimeError", - "RealtimeHistoryUpdated", + "RealtimeEventInfo", + "RealtimeGuardrailTripped", + "RealtimeHandoffEvent", "RealtimeHistoryAdded", + "RealtimeHistoryUpdated", + "RealtimeRawModelEvent", + "RealtimeSessionEvent", + "RealtimeToolEnd", + "RealtimeToolStart", + # Items + "AssistantAudio", + "AssistantMessageItem", + "AssistantText", + "InputAudio", + "InputText", + "RealtimeItem", + "RealtimeMessageItem", + "RealtimeResponse", + "RealtimeToolCallItem", + "SystemMessageItem", + "UserMessageItem", + # Model + "RealtimeModel", + "RealtimeModelConfig", + "RealtimeModelListener", + # Model Events + "RealtimeConnectionStatus", + "RealtimeModelAudioDoneEvent", + "RealtimeModelAudioEvent", + "RealtimeModelAudioInterruptedEvent", + "RealtimeModelConnectionStatusEvent", + "RealtimeModelErrorEvent", + "RealtimeModelEvent", + "RealtimeModelExceptionEvent", + "RealtimeModelInputAudioTranscriptionCompletedEvent", + "RealtimeModelItemDeletedEvent", + "RealtimeModelItemUpdatedEvent", + "RealtimeModelOtherEvent", + "RealtimeModelToolCallEvent", + "RealtimeModelTranscriptDeltaEvent", + "RealtimeModelTurnEndedEvent", + "RealtimeModelTurnStartedEvent", + # Model Inputs + "RealtimeModelInputTextContent", + "RealtimeModelRawClientMessage", + "RealtimeModelSendAudio", + "RealtimeModelSendEvent", + "RealtimeModelSendInterrupt", + "RealtimeModelSendRawMessage", + "RealtimeModelSendSessionUpdate", + "RealtimeModelSendToolOutput", + "RealtimeModelSendUserInput", + "RealtimeModelUserInput", + "RealtimeModelUserInputMessage", + # OpenAI Realtime + "DEFAULT_MODEL_SETTINGS", + "OpenAIRealtimeWebSocketModel", + "get_api_key", + # Session "RealtimeSession", ] From 91adf9cfd151c7717c561bb1ec397340bf0fd464 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 14 Jul 2025 20:27:13 -0400 Subject: [PATCH 226/337] Realtime: fix item parsing --- examples/realtime/demo.py | 65 ++++++++++++--------- src/agents/realtime/__init__.py | 14 ++--- src/agents/realtime/items.py | 17 ++---- src/agents/realtime/openai_realtime.py | 35 +++++++---- tests/realtime/test_item_parsing.py | 80 ++++++++++++++++++++++++++ 5 files changed, 153 insertions(+), 58 deletions(-) create mode 100644 tests/realtime/test_item_parsing.py diff --git a/examples/realtime/demo.py b/examples/realtime/demo.py index 7b98850b2..3db051963 100644 --- a/examples/realtime/demo.py +++ b/examples/realtime/demo.py @@ -38,6 +38,12 @@ def get_weather(city: str) -> str: ) +def _truncate_str(s: str, max_length: int) -> str: + if len(s) > max_length: + return s[:max_length] + "..." + return s + + class Example: def __init__(self) -> None: self.ui = AppUI() @@ -70,33 +76,38 @@ async def on_audio_recorded(self, audio_bytes: bytes) -> None: await self.session.send_audio(audio_bytes) async def _on_event(self, event: RealtimeSessionEvent) -> None: - if event.type == "agent_start": - self.ui.add_transcript(f"Agent started: {event.agent.name}") - elif event.type == "agent_end": - self.ui.add_transcript(f"Agent ended: {event.agent.name}") - elif event.type == "handoff": - self.ui.add_transcript(f"Handoff from {event.from_agent.name} to {event.to_agent.name}") - elif event.type == "tool_start": - self.ui.add_transcript(f"Tool started: {event.tool.name}") - elif event.type == "tool_end": - self.ui.add_transcript(f"Tool ended: {event.tool.name}; output: {event.output}") - elif event.type == "audio_end": - self.ui.add_transcript("Audio ended") - elif event.type == "audio": - np_audio = np.frombuffer(event.audio.data, dtype=np.int16) - self.ui.play_audio(np_audio) - elif event.type == "audio_interrupted": - self.ui.add_transcript("Audio interrupted") - elif event.type == "error": - self.ui.add_transcript(f"Error: {event.error}") - elif event.type == "history_updated": - pass - elif event.type == "history_added": - pass - elif event.type == "raw_model_event": - self.ui.log_message(f"Raw model event: {event.data}") - else: - self.ui.log_message(f"Unknown event type: {event.type}") + try: + if event.type == "agent_start": + self.ui.add_transcript(f"Agent started: {event.agent.name}") + elif event.type == "agent_end": + self.ui.add_transcript(f"Agent ended: {event.agent.name}") + elif event.type == "handoff": + self.ui.add_transcript( + f"Handoff from {event.from_agent.name} to {event.to_agent.name}" + ) + elif event.type == "tool_start": + self.ui.add_transcript(f"Tool started: {event.tool.name}") + elif event.type == "tool_end": + self.ui.add_transcript(f"Tool ended: {event.tool.name}; output: {event.output}") + elif event.type == "audio_end": + self.ui.add_transcript("Audio ended") + elif event.type == "audio": + np_audio = np.frombuffer(event.audio.data, dtype=np.int16) + self.ui.play_audio(np_audio) + elif event.type == "audio_interrupted": + self.ui.add_transcript("Audio interrupted") + elif event.type == "error": + pass + elif event.type == "history_updated": + pass + elif event.type == "history_added": + pass + elif event.type == "raw_model_event": + self.ui.log_message(f"Raw model event: {_truncate_str(str(event.data), 50)}") + else: + self.ui.log_message(f"Unknown event type: {event.type}") + except Exception as e: + self.ui.log_message(f"Error processing event: {_truncate_str(str(e), 50)}") if __name__ == "__main__": diff --git a/src/agents/realtime/__init__.py b/src/agents/realtime/__init__.py index d7b300c9a..0e3e12f75 100644 --- a/src/agents/realtime/__init__.py +++ b/src/agents/realtime/__init__.py @@ -30,14 +30,7 @@ RealtimeToolEnd, RealtimeToolStart, ) -from .model import ( - RealtimeModel, - RealtimeModelConfig, - RealtimeModelListener, -) -from .runner import RealtimeRunner from .items import ( - AssistantAudio, AssistantMessageItem, AssistantText, InputAudio, @@ -49,6 +42,11 @@ SystemMessageItem, UserMessageItem, ) +from .model import ( + RealtimeModel, + RealtimeModelConfig, + RealtimeModelListener, +) from .model_events import ( RealtimeConnectionStatus, RealtimeModelAudioDoneEvent, @@ -85,6 +83,7 @@ OpenAIRealtimeWebSocketModel, get_api_key, ) +from .runner import RealtimeRunner from .session import RealtimeSession __all__ = [ @@ -123,7 +122,6 @@ "RealtimeToolEnd", "RealtimeToolStart", # Items - "AssistantAudio", "AssistantMessageItem", "AssistantText", "InputAudio", diff --git a/src/agents/realtime/items.py b/src/agents/realtime/items.py index a027b2a39..a835e7a88 100644 --- a/src/agents/realtime/items.py +++ b/src/agents/realtime/items.py @@ -7,7 +7,7 @@ class InputText(BaseModel): type: Literal["input_text"] = "input_text" - text: str + text: str | None = None # Allow extra data model_config = ConfigDict(extra="allow") @@ -24,16 +24,7 @@ class InputAudio(BaseModel): class AssistantText(BaseModel): type: Literal["text"] = "text" - text: str - - # Allow extra data - model_config = ConfigDict(extra="allow") - - -class AssistantAudio(BaseModel): - type: Literal["audio"] = "audio" - audio: str | None = None - transcript: str | None = None + text: str | None = None # Allow extra data model_config = ConfigDict(extra="allow") @@ -55,7 +46,7 @@ class UserMessageItem(BaseModel): previous_item_id: str | None = None type: Literal["message"] = "message" role: Literal["user"] = "user" - content: list[InputText | InputAudio] + content: list[Annotated[InputText | InputAudio, Field(discriminator="type")]] # Allow extra data model_config = ConfigDict(extra="allow") @@ -67,7 +58,7 @@ class AssistantMessageItem(BaseModel): type: Literal["message"] = "message" role: Literal["assistant"] = "assistant" status: Literal["in_progress", "completed", "incomplete"] | None = None - content: list[AssistantText | AssistantAudio] + content: list[AssistantText] # Allow extra data model_config = ConfigDict(extra="allow") diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index b79227d2e..1c4a4de3c 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -388,15 +388,8 @@ async def _handle_conversation_item( self, item: ConversationItem, previous_item_id: str | None ) -> None: """Handle conversation item creation/retrieval events.""" - message_item: RealtimeMessageItem = TypeAdapter(RealtimeMessageItem).validate_python( - { - "item_id": item.id or "", - "previous_item_id": previous_item_id, - "type": item.type, - "role": item.role, - "content": item.content, - "status": "in_progress", - } + message_item = _ConversionHelper.conversation_item_to_realtime_message_item( + item, previous_item_id ) await self._emit_event(RealtimeModelItemUpdatedEvent(item=message_item)) @@ -418,6 +411,8 @@ async def _cancel_response(self) -> None: async def _handle_ws_event(self, event: dict[str, Any]): try: + if "previous_item_id" in event and event["previous_item_id"] is None: + event["previous_item_id"] = "" # TODO (rm) remove parsed: OpenAIRealtimeServerEvent = TypeAdapter( OpenAIRealtimeServerEvent ).validate_python(event) @@ -465,7 +460,8 @@ async def _handle_ws_event(self, event: dict[str, Any]): previous_item_id = ( parsed.previous_item_id if parsed.type == "conversation.item.created" else None ) - await self._handle_conversation_item(parsed.item, previous_item_id) + if parsed.item.type == "message": + await self._handle_conversation_item(parsed.item, previous_item_id) elif ( parsed.type == "conversation.item.input_audio_transcription.completed" or parsed.type == "conversation.item.truncated" @@ -567,3 +563,22 @@ def _tools_to_session_tools(self, tools: list[Tool]) -> list[OpenAISessionTool]: ) ) return converted_tools + + +class _ConversionHelper: + @classmethod + def conversation_item_to_realtime_message_item( + cls, item: ConversationItem, previous_item_id: str | None + ) -> RealtimeMessageItem: + return TypeAdapter(RealtimeMessageItem).validate_python( + { + "item_id": item.id or "", + "previous_item_id": previous_item_id, + "type": item.type, + "role": item.role, + "content": ( + [content.model_dump() for content in item.content] if item.content else [] + ), + "status": "in_progress", + }, + ) diff --git a/tests/realtime/test_item_parsing.py b/tests/realtime/test_item_parsing.py new file mode 100644 index 000000000..ba128f7fd --- /dev/null +++ b/tests/realtime/test_item_parsing.py @@ -0,0 +1,80 @@ +from openai.types.beta.realtime.conversation_item import ConversationItem +from openai.types.beta.realtime.conversation_item_content import ConversationItemContent + +from agents.realtime.items import ( + AssistantMessageItem, + RealtimeMessageItem, + SystemMessageItem, + UserMessageItem, +) +from agents.realtime.openai_realtime import _ConversionHelper + + +def test_user_message_conversion() -> None: + item = ConversationItem( + id="123", + type="message", + role="user", + content=[ + ConversationItemContent( + id=None, audio=None, text=None, transcript=None, type="input_text" + ) + ], + ) + + converted: RealtimeMessageItem = _ConversionHelper.conversation_item_to_realtime_message_item( + item, None + ) + + assert isinstance(converted, UserMessageItem) + + item = ConversationItem( + id="123", + type="message", + role="user", + content=[ + ConversationItemContent( + id=None, audio=None, text=None, transcript=None, type="input_audio" + ) + ], + ) + + converted = _ConversionHelper.conversation_item_to_realtime_message_item(item, None) + + assert isinstance(converted, UserMessageItem) + + +def test_assistant_message_conversion() -> None: + item = ConversationItem( + id="123", + type="message", + role="assistant", + content=[ + ConversationItemContent(id=None, audio=None, text=None, transcript=None, type="text") + ], + ) + + converted: RealtimeMessageItem = _ConversionHelper.conversation_item_to_realtime_message_item( + item, None + ) + + assert isinstance(converted, AssistantMessageItem) + + +def test_system_message_conversion() -> None: + item = ConversationItem( + id="123", + type="message", + role="system", + content=[ + ConversationItemContent( + id=None, audio=None, text=None, transcript=None, type="input_text" + ) + ], + ) + + converted: RealtimeMessageItem = _ConversionHelper.conversation_item_to_realtime_message_item( + item, None + ) + + assert isinstance(converted, SystemMessageItem) From a327f8a5f5c7fde03993777abe5b72cf6299e88b Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Mon, 14 Jul 2025 21:01:18 -0400 Subject: [PATCH 227/337] v0.2.0 --- docs/release.md | 4 ++++ pyproject.toml | 2 +- uv.lock | 2 +- 3 files changed, 6 insertions(+), 2 deletions(-) diff --git a/docs/release.md b/docs/release.md index a86103f96..8498c8b17 100644 --- a/docs/release.md +++ b/docs/release.md @@ -19,6 +19,10 @@ We will increment `Z` for non-breaking changes: ## Breaking change changelog +### 0.2.0 + +In this version, a few places that used to take `Agent` as an arg, now take `AgentBase` as an arg instead. For example, the `list_tools()` call in MCP servers. This is a purely typing change, you will still receive `Agent` objects. To update, just fix type errors by replacing `Agent` with `AgentBase`. + ### 0.1.0 In this version, [`MCPServer.list_tools()`][agents.mcp.server.MCPServer] has two new params: `run_context` and `agent`. You'll need to add these params to any classes that subclass `MCPServer`. diff --git a/pyproject.toml b/pyproject.toml index dfceb88f9..0f9b70852 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "openai-agents" -version = "0.1.0" +version = "0.2.0" description = "OpenAI Agents SDK" readme = "README.md" requires-python = ">=3.9" diff --git a/uv.lock b/uv.lock index c6d04a424..7d0621d88 100644 --- a/uv.lock +++ b/uv.lock @@ -1480,7 +1480,7 @@ wheels = [ [[package]] name = "openai-agents" -version = "0.1.0" +version = "0.2.0" source = { editable = "." } dependencies = [ { name = "griffe" }, From a90c9673be659f6a8b07f668911c39c97a0bc131 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 15 Jul 2025 10:06:18 -0400 Subject: [PATCH 228/337] Realtime: export everything --- pyproject.toml | 1 - src/agents/realtime/__init__.py | 137 ++++++++++++++++++++++++++++---- 2 files changed, 122 insertions(+), 16 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index c49602c71..dfceb88f9 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -63,7 +63,6 @@ dev = [ "mkdocs-static-i18n>=1.3.0", "eval-type-backport>=0.2.2", "fastapi >= 0.110.0, <1", - "numpy>=2.2.0", ] [tool.uv.workspace] diff --git a/src/agents/realtime/__init__.py b/src/agents/realtime/__init__.py index 52b59edc3..912e310a8 100644 --- a/src/agents/realtime/__init__.py +++ b/src/agents/realtime/__init__.py @@ -2,8 +2,10 @@ from .config import ( RealtimeAudioFormat, RealtimeClientMessage, + RealtimeGuardrailsSettings, RealtimeInputAudioTranscriptionConfig, RealtimeModelName, + RealtimeModelTracingConfig, RealtimeRunConfig, RealtimeSessionModelSettings, RealtimeTurnDetectionConfig, @@ -18,6 +20,8 @@ RealtimeAudioEnd, RealtimeAudioInterrupted, RealtimeError, + RealtimeEventInfo, + RealtimeGuardrailTripped, RealtimeHandoffEvent, RealtimeHistoryAdded, RealtimeHistoryUpdated, @@ -26,44 +30,147 @@ RealtimeToolEnd, RealtimeToolStart, ) +from .items import ( + AssistantAudio, + AssistantMessageItem, + AssistantText, + InputAudio, + InputText, + RealtimeItem, + RealtimeMessageItem, + RealtimeResponse, + RealtimeToolCallItem, + SystemMessageItem, + UserMessageItem, +) from .model import ( RealtimeModel, RealtimeModelConfig, RealtimeModelListener, ) +from .model_events import ( + RealtimeConnectionStatus, + RealtimeModelAudioDoneEvent, + RealtimeModelAudioEvent, + RealtimeModelAudioInterruptedEvent, + RealtimeModelConnectionStatusEvent, + RealtimeModelErrorEvent, + RealtimeModelEvent, + RealtimeModelExceptionEvent, + RealtimeModelInputAudioTranscriptionCompletedEvent, + RealtimeModelItemDeletedEvent, + RealtimeModelItemUpdatedEvent, + RealtimeModelOtherEvent, + RealtimeModelToolCallEvent, + RealtimeModelTranscriptDeltaEvent, + RealtimeModelTurnEndedEvent, + RealtimeModelTurnStartedEvent, +) +from .model_inputs import ( + RealtimeModelInputTextContent, + RealtimeModelRawClientMessage, + RealtimeModelSendAudio, + RealtimeModelSendEvent, + RealtimeModelSendInterrupt, + RealtimeModelSendRawMessage, + RealtimeModelSendSessionUpdate, + RealtimeModelSendToolOutput, + RealtimeModelSendUserInput, + RealtimeModelUserInput, + RealtimeModelUserInputMessage, +) +from .openai_realtime import ( + DEFAULT_MODEL_SETTINGS, + OpenAIRealtimeWebSocketModel, + get_api_key, +) from .runner import RealtimeRunner from .session import RealtimeSession __all__ = [ + # Agent "RealtimeAgent", "RealtimeAgentHooks", "RealtimeRunHooks", "RealtimeRunner", + # Config + "RealtimeAudioFormat", + "RealtimeClientMessage", + "RealtimeGuardrailsSettings", + "RealtimeInputAudioTranscriptionConfig", + "RealtimeModelName", + "RealtimeModelTracingConfig", "RealtimeRunConfig", "RealtimeSessionModelSettings", - "RealtimeInputAudioTranscriptionConfig", "RealtimeTurnDetectionConfig", - "RealtimeAudioFormat", - "RealtimeClientMessage", "RealtimeUserInput", "RealtimeUserInputMessage", "RealtimeUserInputText", - "RealtimeModelName", - "RealtimeModel", - "RealtimeModelListener", - "RealtimeModelConfig", - "RealtimeSessionEvent", - "RealtimeAgentStartEvent", + # Events "RealtimeAgentEndEvent", - "RealtimeHandoffEvent", - "RealtimeToolStart", - "RealtimeToolEnd", - "RealtimeRawModelEvent", - "RealtimeAudioEnd", + "RealtimeAgentStartEvent", "RealtimeAudio", + "RealtimeAudioEnd", "RealtimeAudioInterrupted", "RealtimeError", - "RealtimeHistoryUpdated", + "RealtimeEventInfo", + "RealtimeGuardrailTripped", + "RealtimeHandoffEvent", "RealtimeHistoryAdded", + "RealtimeHistoryUpdated", + "RealtimeRawModelEvent", + "RealtimeSessionEvent", + "RealtimeToolEnd", + "RealtimeToolStart", + # Items + "AssistantAudio", + "AssistantMessageItem", + "AssistantText", + "InputAudio", + "InputText", + "RealtimeItem", + "RealtimeMessageItem", + "RealtimeResponse", + "RealtimeToolCallItem", + "SystemMessageItem", + "UserMessageItem", + # Model + "RealtimeModel", + "RealtimeModelConfig", + "RealtimeModelListener", + # Model Events + "RealtimeConnectionStatus", + "RealtimeModelAudioDoneEvent", + "RealtimeModelAudioEvent", + "RealtimeModelAudioInterruptedEvent", + "RealtimeModelConnectionStatusEvent", + "RealtimeModelErrorEvent", + "RealtimeModelEvent", + "RealtimeModelExceptionEvent", + "RealtimeModelInputAudioTranscriptionCompletedEvent", + "RealtimeModelItemDeletedEvent", + "RealtimeModelItemUpdatedEvent", + "RealtimeModelOtherEvent", + "RealtimeModelToolCallEvent", + "RealtimeModelTranscriptDeltaEvent", + "RealtimeModelTurnEndedEvent", + "RealtimeModelTurnStartedEvent", + # Model Inputs + "RealtimeModelInputTextContent", + "RealtimeModelRawClientMessage", + "RealtimeModelSendAudio", + "RealtimeModelSendEvent", + "RealtimeModelSendInterrupt", + "RealtimeModelSendRawMessage", + "RealtimeModelSendSessionUpdate", + "RealtimeModelSendToolOutput", + "RealtimeModelSendUserInput", + "RealtimeModelUserInput", + "RealtimeModelUserInputMessage", + # OpenAI Realtime + "DEFAULT_MODEL_SETTINGS", + "OpenAIRealtimeWebSocketModel", + "get_api_key", + # Session "RealtimeSession", ] From 8787c7da8fe8ae76a8ac628d55c7f8bd306ba14c Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 15 Jul 2025 10:07:19 -0400 Subject: [PATCH 229/337] Realtime: fix item parsing --- examples/realtime/demo.py | 65 ++++++++++++--------- src/agents/realtime/__init__.py | 2 - src/agents/realtime/items.py | 17 ++---- src/agents/realtime/openai_realtime.py | 35 +++++++---- tests/realtime/test_item_parsing.py | 80 ++++++++++++++++++++++++++ 5 files changed, 147 insertions(+), 52 deletions(-) create mode 100644 tests/realtime/test_item_parsing.py diff --git a/examples/realtime/demo.py b/examples/realtime/demo.py index 7b98850b2..3db051963 100644 --- a/examples/realtime/demo.py +++ b/examples/realtime/demo.py @@ -38,6 +38,12 @@ def get_weather(city: str) -> str: ) +def _truncate_str(s: str, max_length: int) -> str: + if len(s) > max_length: + return s[:max_length] + "..." + return s + + class Example: def __init__(self) -> None: self.ui = AppUI() @@ -70,33 +76,38 @@ async def on_audio_recorded(self, audio_bytes: bytes) -> None: await self.session.send_audio(audio_bytes) async def _on_event(self, event: RealtimeSessionEvent) -> None: - if event.type == "agent_start": - self.ui.add_transcript(f"Agent started: {event.agent.name}") - elif event.type == "agent_end": - self.ui.add_transcript(f"Agent ended: {event.agent.name}") - elif event.type == "handoff": - self.ui.add_transcript(f"Handoff from {event.from_agent.name} to {event.to_agent.name}") - elif event.type == "tool_start": - self.ui.add_transcript(f"Tool started: {event.tool.name}") - elif event.type == "tool_end": - self.ui.add_transcript(f"Tool ended: {event.tool.name}; output: {event.output}") - elif event.type == "audio_end": - self.ui.add_transcript("Audio ended") - elif event.type == "audio": - np_audio = np.frombuffer(event.audio.data, dtype=np.int16) - self.ui.play_audio(np_audio) - elif event.type == "audio_interrupted": - self.ui.add_transcript("Audio interrupted") - elif event.type == "error": - self.ui.add_transcript(f"Error: {event.error}") - elif event.type == "history_updated": - pass - elif event.type == "history_added": - pass - elif event.type == "raw_model_event": - self.ui.log_message(f"Raw model event: {event.data}") - else: - self.ui.log_message(f"Unknown event type: {event.type}") + try: + if event.type == "agent_start": + self.ui.add_transcript(f"Agent started: {event.agent.name}") + elif event.type == "agent_end": + self.ui.add_transcript(f"Agent ended: {event.agent.name}") + elif event.type == "handoff": + self.ui.add_transcript( + f"Handoff from {event.from_agent.name} to {event.to_agent.name}" + ) + elif event.type == "tool_start": + self.ui.add_transcript(f"Tool started: {event.tool.name}") + elif event.type == "tool_end": + self.ui.add_transcript(f"Tool ended: {event.tool.name}; output: {event.output}") + elif event.type == "audio_end": + self.ui.add_transcript("Audio ended") + elif event.type == "audio": + np_audio = np.frombuffer(event.audio.data, dtype=np.int16) + self.ui.play_audio(np_audio) + elif event.type == "audio_interrupted": + self.ui.add_transcript("Audio interrupted") + elif event.type == "error": + pass + elif event.type == "history_updated": + pass + elif event.type == "history_added": + pass + elif event.type == "raw_model_event": + self.ui.log_message(f"Raw model event: {_truncate_str(str(event.data), 50)}") + else: + self.ui.log_message(f"Unknown event type: {event.type}") + except Exception as e: + self.ui.log_message(f"Error processing event: {_truncate_str(str(e), 50)}") if __name__ == "__main__": diff --git a/src/agents/realtime/__init__.py b/src/agents/realtime/__init__.py index 912e310a8..0e3e12f75 100644 --- a/src/agents/realtime/__init__.py +++ b/src/agents/realtime/__init__.py @@ -31,7 +31,6 @@ RealtimeToolStart, ) from .items import ( - AssistantAudio, AssistantMessageItem, AssistantText, InputAudio, @@ -123,7 +122,6 @@ "RealtimeToolEnd", "RealtimeToolStart", # Items - "AssistantAudio", "AssistantMessageItem", "AssistantText", "InputAudio", diff --git a/src/agents/realtime/items.py b/src/agents/realtime/items.py index a027b2a39..a835e7a88 100644 --- a/src/agents/realtime/items.py +++ b/src/agents/realtime/items.py @@ -7,7 +7,7 @@ class InputText(BaseModel): type: Literal["input_text"] = "input_text" - text: str + text: str | None = None # Allow extra data model_config = ConfigDict(extra="allow") @@ -24,16 +24,7 @@ class InputAudio(BaseModel): class AssistantText(BaseModel): type: Literal["text"] = "text" - text: str - - # Allow extra data - model_config = ConfigDict(extra="allow") - - -class AssistantAudio(BaseModel): - type: Literal["audio"] = "audio" - audio: str | None = None - transcript: str | None = None + text: str | None = None # Allow extra data model_config = ConfigDict(extra="allow") @@ -55,7 +46,7 @@ class UserMessageItem(BaseModel): previous_item_id: str | None = None type: Literal["message"] = "message" role: Literal["user"] = "user" - content: list[InputText | InputAudio] + content: list[Annotated[InputText | InputAudio, Field(discriminator="type")]] # Allow extra data model_config = ConfigDict(extra="allow") @@ -67,7 +58,7 @@ class AssistantMessageItem(BaseModel): type: Literal["message"] = "message" role: Literal["assistant"] = "assistant" status: Literal["in_progress", "completed", "incomplete"] | None = None - content: list[AssistantText | AssistantAudio] + content: list[AssistantText] # Allow extra data model_config = ConfigDict(extra="allow") diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index b79227d2e..1c4a4de3c 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -388,15 +388,8 @@ async def _handle_conversation_item( self, item: ConversationItem, previous_item_id: str | None ) -> None: """Handle conversation item creation/retrieval events.""" - message_item: RealtimeMessageItem = TypeAdapter(RealtimeMessageItem).validate_python( - { - "item_id": item.id or "", - "previous_item_id": previous_item_id, - "type": item.type, - "role": item.role, - "content": item.content, - "status": "in_progress", - } + message_item = _ConversionHelper.conversation_item_to_realtime_message_item( + item, previous_item_id ) await self._emit_event(RealtimeModelItemUpdatedEvent(item=message_item)) @@ -418,6 +411,8 @@ async def _cancel_response(self) -> None: async def _handle_ws_event(self, event: dict[str, Any]): try: + if "previous_item_id" in event and event["previous_item_id"] is None: + event["previous_item_id"] = "" # TODO (rm) remove parsed: OpenAIRealtimeServerEvent = TypeAdapter( OpenAIRealtimeServerEvent ).validate_python(event) @@ -465,7 +460,8 @@ async def _handle_ws_event(self, event: dict[str, Any]): previous_item_id = ( parsed.previous_item_id if parsed.type == "conversation.item.created" else None ) - await self._handle_conversation_item(parsed.item, previous_item_id) + if parsed.item.type == "message": + await self._handle_conversation_item(parsed.item, previous_item_id) elif ( parsed.type == "conversation.item.input_audio_transcription.completed" or parsed.type == "conversation.item.truncated" @@ -567,3 +563,22 @@ def _tools_to_session_tools(self, tools: list[Tool]) -> list[OpenAISessionTool]: ) ) return converted_tools + + +class _ConversionHelper: + @classmethod + def conversation_item_to_realtime_message_item( + cls, item: ConversationItem, previous_item_id: str | None + ) -> RealtimeMessageItem: + return TypeAdapter(RealtimeMessageItem).validate_python( + { + "item_id": item.id or "", + "previous_item_id": previous_item_id, + "type": item.type, + "role": item.role, + "content": ( + [content.model_dump() for content in item.content] if item.content else [] + ), + "status": "in_progress", + }, + ) diff --git a/tests/realtime/test_item_parsing.py b/tests/realtime/test_item_parsing.py new file mode 100644 index 000000000..ba128f7fd --- /dev/null +++ b/tests/realtime/test_item_parsing.py @@ -0,0 +1,80 @@ +from openai.types.beta.realtime.conversation_item import ConversationItem +from openai.types.beta.realtime.conversation_item_content import ConversationItemContent + +from agents.realtime.items import ( + AssistantMessageItem, + RealtimeMessageItem, + SystemMessageItem, + UserMessageItem, +) +from agents.realtime.openai_realtime import _ConversionHelper + + +def test_user_message_conversion() -> None: + item = ConversationItem( + id="123", + type="message", + role="user", + content=[ + ConversationItemContent( + id=None, audio=None, text=None, transcript=None, type="input_text" + ) + ], + ) + + converted: RealtimeMessageItem = _ConversionHelper.conversation_item_to_realtime_message_item( + item, None + ) + + assert isinstance(converted, UserMessageItem) + + item = ConversationItem( + id="123", + type="message", + role="user", + content=[ + ConversationItemContent( + id=None, audio=None, text=None, transcript=None, type="input_audio" + ) + ], + ) + + converted = _ConversionHelper.conversation_item_to_realtime_message_item(item, None) + + assert isinstance(converted, UserMessageItem) + + +def test_assistant_message_conversion() -> None: + item = ConversationItem( + id="123", + type="message", + role="assistant", + content=[ + ConversationItemContent(id=None, audio=None, text=None, transcript=None, type="text") + ], + ) + + converted: RealtimeMessageItem = _ConversionHelper.conversation_item_to_realtime_message_item( + item, None + ) + + assert isinstance(converted, AssistantMessageItem) + + +def test_system_message_conversion() -> None: + item = ConversationItem( + id="123", + type="message", + role="system", + content=[ + ConversationItemContent( + id=None, audio=None, text=None, transcript=None, type="input_text" + ) + ], + ) + + converted: RealtimeMessageItem = _ConversionHelper.conversation_item_to_realtime_message_item( + item, None + ) + + assert isinstance(converted, SystemMessageItem) From 97111a2d63e72591c2a821ec3c83e99b9627dc6d Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 15 Jul 2025 10:07:19 -0400 Subject: [PATCH 230/337] v0.2.0 --- docs/release.md | 4 ++++ pyproject.toml | 2 +- uv.lock | 2 +- 3 files changed, 6 insertions(+), 2 deletions(-) diff --git a/docs/release.md b/docs/release.md index a86103f96..8498c8b17 100644 --- a/docs/release.md +++ b/docs/release.md @@ -19,6 +19,10 @@ We will increment `Z` for non-breaking changes: ## Breaking change changelog +### 0.2.0 + +In this version, a few places that used to take `Agent` as an arg, now take `AgentBase` as an arg instead. For example, the `list_tools()` call in MCP servers. This is a purely typing change, you will still receive `Agent` objects. To update, just fix type errors by replacing `Agent` with `AgentBase`. + ### 0.1.0 In this version, [`MCPServer.list_tools()`][agents.mcp.server.MCPServer] has two new params: `run_context` and `agent`. You'll need to add these params to any classes that subclass `MCPServer`. diff --git a/pyproject.toml b/pyproject.toml index dfceb88f9..0f9b70852 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "openai-agents" -version = "0.1.0" +version = "0.2.0" description = "OpenAI Agents SDK" readme = "README.md" requires-python = ">=3.9" diff --git a/uv.lock b/uv.lock index c6d04a424..7d0621d88 100644 --- a/uv.lock +++ b/uv.lock @@ -1480,7 +1480,7 @@ wheels = [ [[package]] name = "openai-agents" -version = "0.1.0" +version = "0.2.0" source = { editable = "." } dependencies = [ { name = "griffe" }, From 23f023510b80be2e04687381afd7cde33be8d7d9 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 15 Jul 2025 11:36:32 -0400 Subject: [PATCH 231/337] Realtime: fix item parsing --- examples/realtime/demo.py | 65 ++++++++++++--------- src/agents/realtime/__init__.py | 2 - src/agents/realtime/items.py | 17 ++---- src/agents/realtime/openai_realtime.py | 35 +++++++---- tests/realtime/test_item_parsing.py | 80 ++++++++++++++++++++++++++ 5 files changed, 147 insertions(+), 52 deletions(-) create mode 100644 tests/realtime/test_item_parsing.py diff --git a/examples/realtime/demo.py b/examples/realtime/demo.py index 7b98850b2..3db051963 100644 --- a/examples/realtime/demo.py +++ b/examples/realtime/demo.py @@ -38,6 +38,12 @@ def get_weather(city: str) -> str: ) +def _truncate_str(s: str, max_length: int) -> str: + if len(s) > max_length: + return s[:max_length] + "..." + return s + + class Example: def __init__(self) -> None: self.ui = AppUI() @@ -70,33 +76,38 @@ async def on_audio_recorded(self, audio_bytes: bytes) -> None: await self.session.send_audio(audio_bytes) async def _on_event(self, event: RealtimeSessionEvent) -> None: - if event.type == "agent_start": - self.ui.add_transcript(f"Agent started: {event.agent.name}") - elif event.type == "agent_end": - self.ui.add_transcript(f"Agent ended: {event.agent.name}") - elif event.type == "handoff": - self.ui.add_transcript(f"Handoff from {event.from_agent.name} to {event.to_agent.name}") - elif event.type == "tool_start": - self.ui.add_transcript(f"Tool started: {event.tool.name}") - elif event.type == "tool_end": - self.ui.add_transcript(f"Tool ended: {event.tool.name}; output: {event.output}") - elif event.type == "audio_end": - self.ui.add_transcript("Audio ended") - elif event.type == "audio": - np_audio = np.frombuffer(event.audio.data, dtype=np.int16) - self.ui.play_audio(np_audio) - elif event.type == "audio_interrupted": - self.ui.add_transcript("Audio interrupted") - elif event.type == "error": - self.ui.add_transcript(f"Error: {event.error}") - elif event.type == "history_updated": - pass - elif event.type == "history_added": - pass - elif event.type == "raw_model_event": - self.ui.log_message(f"Raw model event: {event.data}") - else: - self.ui.log_message(f"Unknown event type: {event.type}") + try: + if event.type == "agent_start": + self.ui.add_transcript(f"Agent started: {event.agent.name}") + elif event.type == "agent_end": + self.ui.add_transcript(f"Agent ended: {event.agent.name}") + elif event.type == "handoff": + self.ui.add_transcript( + f"Handoff from {event.from_agent.name} to {event.to_agent.name}" + ) + elif event.type == "tool_start": + self.ui.add_transcript(f"Tool started: {event.tool.name}") + elif event.type == "tool_end": + self.ui.add_transcript(f"Tool ended: {event.tool.name}; output: {event.output}") + elif event.type == "audio_end": + self.ui.add_transcript("Audio ended") + elif event.type == "audio": + np_audio = np.frombuffer(event.audio.data, dtype=np.int16) + self.ui.play_audio(np_audio) + elif event.type == "audio_interrupted": + self.ui.add_transcript("Audio interrupted") + elif event.type == "error": + pass + elif event.type == "history_updated": + pass + elif event.type == "history_added": + pass + elif event.type == "raw_model_event": + self.ui.log_message(f"Raw model event: {_truncate_str(str(event.data), 50)}") + else: + self.ui.log_message(f"Unknown event type: {event.type}") + except Exception as e: + self.ui.log_message(f"Error processing event: {_truncate_str(str(e), 50)}") if __name__ == "__main__": diff --git a/src/agents/realtime/__init__.py b/src/agents/realtime/__init__.py index 912e310a8..0e3e12f75 100644 --- a/src/agents/realtime/__init__.py +++ b/src/agents/realtime/__init__.py @@ -31,7 +31,6 @@ RealtimeToolStart, ) from .items import ( - AssistantAudio, AssistantMessageItem, AssistantText, InputAudio, @@ -123,7 +122,6 @@ "RealtimeToolEnd", "RealtimeToolStart", # Items - "AssistantAudio", "AssistantMessageItem", "AssistantText", "InputAudio", diff --git a/src/agents/realtime/items.py b/src/agents/realtime/items.py index a027b2a39..a835e7a88 100644 --- a/src/agents/realtime/items.py +++ b/src/agents/realtime/items.py @@ -7,7 +7,7 @@ class InputText(BaseModel): type: Literal["input_text"] = "input_text" - text: str + text: str | None = None # Allow extra data model_config = ConfigDict(extra="allow") @@ -24,16 +24,7 @@ class InputAudio(BaseModel): class AssistantText(BaseModel): type: Literal["text"] = "text" - text: str - - # Allow extra data - model_config = ConfigDict(extra="allow") - - -class AssistantAudio(BaseModel): - type: Literal["audio"] = "audio" - audio: str | None = None - transcript: str | None = None + text: str | None = None # Allow extra data model_config = ConfigDict(extra="allow") @@ -55,7 +46,7 @@ class UserMessageItem(BaseModel): previous_item_id: str | None = None type: Literal["message"] = "message" role: Literal["user"] = "user" - content: list[InputText | InputAudio] + content: list[Annotated[InputText | InputAudio, Field(discriminator="type")]] # Allow extra data model_config = ConfigDict(extra="allow") @@ -67,7 +58,7 @@ class AssistantMessageItem(BaseModel): type: Literal["message"] = "message" role: Literal["assistant"] = "assistant" status: Literal["in_progress", "completed", "incomplete"] | None = None - content: list[AssistantText | AssistantAudio] + content: list[AssistantText] # Allow extra data model_config = ConfigDict(extra="allow") diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index b79227d2e..1c4a4de3c 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -388,15 +388,8 @@ async def _handle_conversation_item( self, item: ConversationItem, previous_item_id: str | None ) -> None: """Handle conversation item creation/retrieval events.""" - message_item: RealtimeMessageItem = TypeAdapter(RealtimeMessageItem).validate_python( - { - "item_id": item.id or "", - "previous_item_id": previous_item_id, - "type": item.type, - "role": item.role, - "content": item.content, - "status": "in_progress", - } + message_item = _ConversionHelper.conversation_item_to_realtime_message_item( + item, previous_item_id ) await self._emit_event(RealtimeModelItemUpdatedEvent(item=message_item)) @@ -418,6 +411,8 @@ async def _cancel_response(self) -> None: async def _handle_ws_event(self, event: dict[str, Any]): try: + if "previous_item_id" in event and event["previous_item_id"] is None: + event["previous_item_id"] = "" # TODO (rm) remove parsed: OpenAIRealtimeServerEvent = TypeAdapter( OpenAIRealtimeServerEvent ).validate_python(event) @@ -465,7 +460,8 @@ async def _handle_ws_event(self, event: dict[str, Any]): previous_item_id = ( parsed.previous_item_id if parsed.type == "conversation.item.created" else None ) - await self._handle_conversation_item(parsed.item, previous_item_id) + if parsed.item.type == "message": + await self._handle_conversation_item(parsed.item, previous_item_id) elif ( parsed.type == "conversation.item.input_audio_transcription.completed" or parsed.type == "conversation.item.truncated" @@ -567,3 +563,22 @@ def _tools_to_session_tools(self, tools: list[Tool]) -> list[OpenAISessionTool]: ) ) return converted_tools + + +class _ConversionHelper: + @classmethod + def conversation_item_to_realtime_message_item( + cls, item: ConversationItem, previous_item_id: str | None + ) -> RealtimeMessageItem: + return TypeAdapter(RealtimeMessageItem).validate_python( + { + "item_id": item.id or "", + "previous_item_id": previous_item_id, + "type": item.type, + "role": item.role, + "content": ( + [content.model_dump() for content in item.content] if item.content else [] + ), + "status": "in_progress", + }, + ) diff --git a/tests/realtime/test_item_parsing.py b/tests/realtime/test_item_parsing.py new file mode 100644 index 000000000..ba128f7fd --- /dev/null +++ b/tests/realtime/test_item_parsing.py @@ -0,0 +1,80 @@ +from openai.types.beta.realtime.conversation_item import ConversationItem +from openai.types.beta.realtime.conversation_item_content import ConversationItemContent + +from agents.realtime.items import ( + AssistantMessageItem, + RealtimeMessageItem, + SystemMessageItem, + UserMessageItem, +) +from agents.realtime.openai_realtime import _ConversionHelper + + +def test_user_message_conversion() -> None: + item = ConversationItem( + id="123", + type="message", + role="user", + content=[ + ConversationItemContent( + id=None, audio=None, text=None, transcript=None, type="input_text" + ) + ], + ) + + converted: RealtimeMessageItem = _ConversionHelper.conversation_item_to_realtime_message_item( + item, None + ) + + assert isinstance(converted, UserMessageItem) + + item = ConversationItem( + id="123", + type="message", + role="user", + content=[ + ConversationItemContent( + id=None, audio=None, text=None, transcript=None, type="input_audio" + ) + ], + ) + + converted = _ConversionHelper.conversation_item_to_realtime_message_item(item, None) + + assert isinstance(converted, UserMessageItem) + + +def test_assistant_message_conversion() -> None: + item = ConversationItem( + id="123", + type="message", + role="assistant", + content=[ + ConversationItemContent(id=None, audio=None, text=None, transcript=None, type="text") + ], + ) + + converted: RealtimeMessageItem = _ConversionHelper.conversation_item_to_realtime_message_item( + item, None + ) + + assert isinstance(converted, AssistantMessageItem) + + +def test_system_message_conversion() -> None: + item = ConversationItem( + id="123", + type="message", + role="system", + content=[ + ConversationItemContent( + id=None, audio=None, text=None, transcript=None, type="input_text" + ) + ], + ) + + converted: RealtimeMessageItem = _ConversionHelper.conversation_item_to_realtime_message_item( + item, None + ) + + assert isinstance(converted, SystemMessageItem) From 5986f21f252712f04ee126712ae239f0b26c405b Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 15 Jul 2025 11:36:32 -0400 Subject: [PATCH 232/337] v0.2.0 --- docs/release.md | 4 ++++ pyproject.toml | 2 +- uv.lock | 2 +- 3 files changed, 6 insertions(+), 2 deletions(-) diff --git a/docs/release.md b/docs/release.md index a86103f96..8498c8b17 100644 --- a/docs/release.md +++ b/docs/release.md @@ -19,6 +19,10 @@ We will increment `Z` for non-breaking changes: ## Breaking change changelog +### 0.2.0 + +In this version, a few places that used to take `Agent` as an arg, now take `AgentBase` as an arg instead. For example, the `list_tools()` call in MCP servers. This is a purely typing change, you will still receive `Agent` objects. To update, just fix type errors by replacing `Agent` with `AgentBase`. + ### 0.1.0 In this version, [`MCPServer.list_tools()`][agents.mcp.server.MCPServer] has two new params: `run_context` and `agent`. You'll need to add these params to any classes that subclass `MCPServer`. diff --git a/pyproject.toml b/pyproject.toml index dfceb88f9..0f9b70852 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "openai-agents" -version = "0.1.0" +version = "0.2.0" description = "OpenAI Agents SDK" readme = "README.md" requires-python = ">=3.9" diff --git a/uv.lock b/uv.lock index c6d04a424..7d0621d88 100644 --- a/uv.lock +++ b/uv.lock @@ -1480,7 +1480,7 @@ wheels = [ [[package]] name = "openai-agents" -version = "0.1.0" +version = "0.2.0" source = { editable = "." } dependencies = [ { name = "griffe" }, From 54cae645483517d4bf3ec648e09860914aaa4633 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 15 Jul 2025 11:36:32 -0400 Subject: [PATCH 233/337] Realtime: fix item parsing --- examples/realtime/demo.py | 65 ++++++++++++--------- src/agents/realtime/__init__.py | 2 - src/agents/realtime/items.py | 17 ++---- src/agents/realtime/openai_realtime.py | 35 +++++++---- tests/realtime/test_item_parsing.py | 80 ++++++++++++++++++++++++++ tests/realtime/test_session.py | 14 ++--- 6 files changed, 154 insertions(+), 59 deletions(-) create mode 100644 tests/realtime/test_item_parsing.py diff --git a/examples/realtime/demo.py b/examples/realtime/demo.py index 7b98850b2..3db051963 100644 --- a/examples/realtime/demo.py +++ b/examples/realtime/demo.py @@ -38,6 +38,12 @@ def get_weather(city: str) -> str: ) +def _truncate_str(s: str, max_length: int) -> str: + if len(s) > max_length: + return s[:max_length] + "..." + return s + + class Example: def __init__(self) -> None: self.ui = AppUI() @@ -70,33 +76,38 @@ async def on_audio_recorded(self, audio_bytes: bytes) -> None: await self.session.send_audio(audio_bytes) async def _on_event(self, event: RealtimeSessionEvent) -> None: - if event.type == "agent_start": - self.ui.add_transcript(f"Agent started: {event.agent.name}") - elif event.type == "agent_end": - self.ui.add_transcript(f"Agent ended: {event.agent.name}") - elif event.type == "handoff": - self.ui.add_transcript(f"Handoff from {event.from_agent.name} to {event.to_agent.name}") - elif event.type == "tool_start": - self.ui.add_transcript(f"Tool started: {event.tool.name}") - elif event.type == "tool_end": - self.ui.add_transcript(f"Tool ended: {event.tool.name}; output: {event.output}") - elif event.type == "audio_end": - self.ui.add_transcript("Audio ended") - elif event.type == "audio": - np_audio = np.frombuffer(event.audio.data, dtype=np.int16) - self.ui.play_audio(np_audio) - elif event.type == "audio_interrupted": - self.ui.add_transcript("Audio interrupted") - elif event.type == "error": - self.ui.add_transcript(f"Error: {event.error}") - elif event.type == "history_updated": - pass - elif event.type == "history_added": - pass - elif event.type == "raw_model_event": - self.ui.log_message(f"Raw model event: {event.data}") - else: - self.ui.log_message(f"Unknown event type: {event.type}") + try: + if event.type == "agent_start": + self.ui.add_transcript(f"Agent started: {event.agent.name}") + elif event.type == "agent_end": + self.ui.add_transcript(f"Agent ended: {event.agent.name}") + elif event.type == "handoff": + self.ui.add_transcript( + f"Handoff from {event.from_agent.name} to {event.to_agent.name}" + ) + elif event.type == "tool_start": + self.ui.add_transcript(f"Tool started: {event.tool.name}") + elif event.type == "tool_end": + self.ui.add_transcript(f"Tool ended: {event.tool.name}; output: {event.output}") + elif event.type == "audio_end": + self.ui.add_transcript("Audio ended") + elif event.type == "audio": + np_audio = np.frombuffer(event.audio.data, dtype=np.int16) + self.ui.play_audio(np_audio) + elif event.type == "audio_interrupted": + self.ui.add_transcript("Audio interrupted") + elif event.type == "error": + pass + elif event.type == "history_updated": + pass + elif event.type == "history_added": + pass + elif event.type == "raw_model_event": + self.ui.log_message(f"Raw model event: {_truncate_str(str(event.data), 50)}") + else: + self.ui.log_message(f"Unknown event type: {event.type}") + except Exception as e: + self.ui.log_message(f"Error processing event: {_truncate_str(str(e), 50)}") if __name__ == "__main__": diff --git a/src/agents/realtime/__init__.py b/src/agents/realtime/__init__.py index 912e310a8..0e3e12f75 100644 --- a/src/agents/realtime/__init__.py +++ b/src/agents/realtime/__init__.py @@ -31,7 +31,6 @@ RealtimeToolStart, ) from .items import ( - AssistantAudio, AssistantMessageItem, AssistantText, InputAudio, @@ -123,7 +122,6 @@ "RealtimeToolEnd", "RealtimeToolStart", # Items - "AssistantAudio", "AssistantMessageItem", "AssistantText", "InputAudio", diff --git a/src/agents/realtime/items.py b/src/agents/realtime/items.py index a027b2a39..a835e7a88 100644 --- a/src/agents/realtime/items.py +++ b/src/agents/realtime/items.py @@ -7,7 +7,7 @@ class InputText(BaseModel): type: Literal["input_text"] = "input_text" - text: str + text: str | None = None # Allow extra data model_config = ConfigDict(extra="allow") @@ -24,16 +24,7 @@ class InputAudio(BaseModel): class AssistantText(BaseModel): type: Literal["text"] = "text" - text: str - - # Allow extra data - model_config = ConfigDict(extra="allow") - - -class AssistantAudio(BaseModel): - type: Literal["audio"] = "audio" - audio: str | None = None - transcript: str | None = None + text: str | None = None # Allow extra data model_config = ConfigDict(extra="allow") @@ -55,7 +46,7 @@ class UserMessageItem(BaseModel): previous_item_id: str | None = None type: Literal["message"] = "message" role: Literal["user"] = "user" - content: list[InputText | InputAudio] + content: list[Annotated[InputText | InputAudio, Field(discriminator="type")]] # Allow extra data model_config = ConfigDict(extra="allow") @@ -67,7 +58,7 @@ class AssistantMessageItem(BaseModel): type: Literal["message"] = "message" role: Literal["assistant"] = "assistant" status: Literal["in_progress", "completed", "incomplete"] | None = None - content: list[AssistantText | AssistantAudio] + content: list[AssistantText] # Allow extra data model_config = ConfigDict(extra="allow") diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index b79227d2e..1c4a4de3c 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -388,15 +388,8 @@ async def _handle_conversation_item( self, item: ConversationItem, previous_item_id: str | None ) -> None: """Handle conversation item creation/retrieval events.""" - message_item: RealtimeMessageItem = TypeAdapter(RealtimeMessageItem).validate_python( - { - "item_id": item.id or "", - "previous_item_id": previous_item_id, - "type": item.type, - "role": item.role, - "content": item.content, - "status": "in_progress", - } + message_item = _ConversionHelper.conversation_item_to_realtime_message_item( + item, previous_item_id ) await self._emit_event(RealtimeModelItemUpdatedEvent(item=message_item)) @@ -418,6 +411,8 @@ async def _cancel_response(self) -> None: async def _handle_ws_event(self, event: dict[str, Any]): try: + if "previous_item_id" in event and event["previous_item_id"] is None: + event["previous_item_id"] = "" # TODO (rm) remove parsed: OpenAIRealtimeServerEvent = TypeAdapter( OpenAIRealtimeServerEvent ).validate_python(event) @@ -465,7 +460,8 @@ async def _handle_ws_event(self, event: dict[str, Any]): previous_item_id = ( parsed.previous_item_id if parsed.type == "conversation.item.created" else None ) - await self._handle_conversation_item(parsed.item, previous_item_id) + if parsed.item.type == "message": + await self._handle_conversation_item(parsed.item, previous_item_id) elif ( parsed.type == "conversation.item.input_audio_transcription.completed" or parsed.type == "conversation.item.truncated" @@ -567,3 +563,22 @@ def _tools_to_session_tools(self, tools: list[Tool]) -> list[OpenAISessionTool]: ) ) return converted_tools + + +class _ConversionHelper: + @classmethod + def conversation_item_to_realtime_message_item( + cls, item: ConversationItem, previous_item_id: str | None + ) -> RealtimeMessageItem: + return TypeAdapter(RealtimeMessageItem).validate_python( + { + "item_id": item.id or "", + "previous_item_id": previous_item_id, + "type": item.type, + "role": item.role, + "content": ( + [content.model_dump() for content in item.content] if item.content else [] + ), + "status": "in_progress", + }, + ) diff --git a/tests/realtime/test_item_parsing.py b/tests/realtime/test_item_parsing.py new file mode 100644 index 000000000..ba128f7fd --- /dev/null +++ b/tests/realtime/test_item_parsing.py @@ -0,0 +1,80 @@ +from openai.types.beta.realtime.conversation_item import ConversationItem +from openai.types.beta.realtime.conversation_item_content import ConversationItemContent + +from agents.realtime.items import ( + AssistantMessageItem, + RealtimeMessageItem, + SystemMessageItem, + UserMessageItem, +) +from agents.realtime.openai_realtime import _ConversionHelper + + +def test_user_message_conversion() -> None: + item = ConversationItem( + id="123", + type="message", + role="user", + content=[ + ConversationItemContent( + id=None, audio=None, text=None, transcript=None, type="input_text" + ) + ], + ) + + converted: RealtimeMessageItem = _ConversionHelper.conversation_item_to_realtime_message_item( + item, None + ) + + assert isinstance(converted, UserMessageItem) + + item = ConversationItem( + id="123", + type="message", + role="user", + content=[ + ConversationItemContent( + id=None, audio=None, text=None, transcript=None, type="input_audio" + ) + ], + ) + + converted = _ConversionHelper.conversation_item_to_realtime_message_item(item, None) + + assert isinstance(converted, UserMessageItem) + + +def test_assistant_message_conversion() -> None: + item = ConversationItem( + id="123", + type="message", + role="assistant", + content=[ + ConversationItemContent(id=None, audio=None, text=None, transcript=None, type="text") + ], + ) + + converted: RealtimeMessageItem = _ConversionHelper.conversation_item_to_realtime_message_item( + item, None + ) + + assert isinstance(converted, AssistantMessageItem) + + +def test_system_message_conversion() -> None: + item = ConversationItem( + id="123", + type="message", + role="system", + content=[ + ConversationItemContent( + id=None, audio=None, text=None, transcript=None, type="input_text" + ) + ], + ) + + converted: RealtimeMessageItem = _ConversionHelper.conversation_item_to_realtime_message_item( + item, None + ) + + assert isinstance(converted, SystemMessageItem) diff --git a/tests/realtime/test_session.py b/tests/realtime/test_session.py index b903ee951..4cc0dae6b 100644 --- a/tests/realtime/test_session.py +++ b/tests/realtime/test_session.py @@ -293,7 +293,7 @@ async def test_item_updated_event_updates_existing_item(self, mock_model, mock_a # Check that item was updated assert len(session._history) == 1 updated_item = cast(AssistantMessageItem, session._history[0]) - assert cast(AssistantText, updated_item.content[0]).text == "Updated" + assert updated_item.content[0].text == "Updated" # Should have 2 events: raw + history updated (not added) assert session._event_queue.qsize() == 2 @@ -524,7 +524,7 @@ def test_update_existing_item_by_id(self): # Item should be updated result_item = cast(AssistantMessageItem, new_history[0]) assert result_item.item_id == "item_1" - assert cast(AssistantText, result_item.content[0]).text == "Updated" + assert result_item.content[0].text == "Updated" def test_update_existing_item_preserves_order(self): """Test that updating existing item preserves its position in history""" @@ -557,13 +557,13 @@ def test_update_existing_item_preserves_order(self): # Middle item should be updated updated_result = cast(AssistantMessageItem, new_history[1]) - assert cast(AssistantText, updated_result.content[0]).text == "Updated Second" + assert updated_result.content[0].text == "Updated Second" # Other items should be unchanged item1_result = cast(AssistantMessageItem, new_history[0]) item3_result = cast(AssistantMessageItem, new_history[2]) - assert cast(AssistantText, item1_result.content[0]).text == "First" - assert cast(AssistantText, item3_result.content[0]).text == "Third" + assert item1_result.content[0].text == "First" + assert item3_result.content[0].text == "Third" def test_insert_new_item_after_previous_item(self): """Test inserting new item after specified previous_item_id""" @@ -598,7 +598,7 @@ def test_insert_new_item_after_previous_item(self): # Content should be correct item2_result = cast(AssistantMessageItem, new_history[1]) - assert cast(AssistantText, item2_result.content[0]).text == "Second" + assert item2_result.content[0].text == "Second" def test_insert_new_item_after_nonexistent_previous_item(self): """Test that item with nonexistent previous_item_id gets added to end""" @@ -701,7 +701,7 @@ def test_complex_insertion_scenario(self): assert len(history) == 4 assert [item.item_id for item in history] == ["A", "B", "D", "C"] itemB_result = cast(AssistantMessageItem, history[1]) - assert cast(AssistantText, itemB_result.content[0]).text == "Updated B" + assert itemB_result.content[0].text == "Updated B" # Test 3: Tool call execution flow (_handle_tool_call method) From feee6b3e45d05889fc7386d6e6de57f742526383 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 15 Jul 2025 11:46:38 -0400 Subject: [PATCH 234/337] v0.2.0 --- docs/release.md | 4 ++++ pyproject.toml | 2 +- uv.lock | 2 +- 3 files changed, 6 insertions(+), 2 deletions(-) diff --git a/docs/release.md b/docs/release.md index a86103f96..8498c8b17 100644 --- a/docs/release.md +++ b/docs/release.md @@ -19,6 +19,10 @@ We will increment `Z` for non-breaking changes: ## Breaking change changelog +### 0.2.0 + +In this version, a few places that used to take `Agent` as an arg, now take `AgentBase` as an arg instead. For example, the `list_tools()` call in MCP servers. This is a purely typing change, you will still receive `Agent` objects. To update, just fix type errors by replacing `Agent` with `AgentBase`. + ### 0.1.0 In this version, [`MCPServer.list_tools()`][agents.mcp.server.MCPServer] has two new params: `run_context` and `agent`. You'll need to add these params to any classes that subclass `MCPServer`. diff --git a/pyproject.toml b/pyproject.toml index dfceb88f9..0f9b70852 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "openai-agents" -version = "0.1.0" +version = "0.2.0" description = "OpenAI Agents SDK" readme = "README.md" requires-python = ">=3.9" diff --git a/uv.lock b/uv.lock index c6d04a424..7d0621d88 100644 --- a/uv.lock +++ b/uv.lock @@ -1480,7 +1480,7 @@ wheels = [ [[package]] name = "openai-agents" -version = "0.1.0" +version = "0.2.0" source = { editable = "." } dependencies = [ { name = "griffe" }, From ac14ffc6687a8d6f1986b2ce578050b0fc32f585 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 15 Jul 2025 15:27:07 -0400 Subject: [PATCH 235/337] Realtime: use SDK types for all messages --- pyproject.toml | 2 +- src/agents/realtime/openai_realtime.py | 260 +++++++++------ tests/realtime/test_conversion_helpers.py | 375 ++++++++++++++++++++++ tests/realtime/test_tracing.py | 66 ++-- uv.lock | 8 +- 5 files changed, 571 insertions(+), 140 deletions(-) create mode 100644 tests/realtime/test_conversion_helpers.py diff --git a/pyproject.toml b/pyproject.toml index 0f9b70852..b654f0c3d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -7,7 +7,7 @@ requires-python = ">=3.9" license = "MIT" authors = [{ name = "OpenAI", email = "support@openai.com" }] dependencies = [ - "openai>=1.93.1, <2", + "openai>=1.96.0, <2", "pydantic>=2.10, <3", "griffe>=1.5.6, <2", "typing-extensions>=4.12.2, <5", diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 1c4a4de3c..f340872b5 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -10,14 +10,47 @@ import pydantic import websockets -from openai.types.beta.realtime.conversation_item import ConversationItem +from openai.types.beta.realtime.conversation_item import ( + ConversationItem, + ConversationItem as OpenAIConversationItem, +) +from openai.types.beta.realtime.conversation_item_content import ( + ConversationItemContent as OpenAIConversationItemContent, +) +from openai.types.beta.realtime.conversation_item_create_event import ( + ConversationItemCreateEvent as OpenAIConversationItemCreateEvent, +) +from openai.types.beta.realtime.conversation_item_retrieve_event import ( + ConversationItemRetrieveEvent as OpenAIConversationItemRetrieveEvent, +) +from openai.types.beta.realtime.conversation_item_truncate_event import ( + ConversationItemTruncateEvent as OpenAIConversationItemTruncateEvent, +) +from openai.types.beta.realtime.input_audio_buffer_append_event import ( + InputAudioBufferAppendEvent as OpenAIInputAudioBufferAppendEvent, +) +from openai.types.beta.realtime.input_audio_buffer_commit_event import ( + InputAudioBufferCommitEvent as OpenAIInputAudioBufferCommitEvent, +) +from openai.types.beta.realtime.realtime_client_event import ( + RealtimeClientEvent as OpenAIRealtimeClientEvent, +) from openai.types.beta.realtime.realtime_server_event import ( RealtimeServerEvent as OpenAIRealtimeServerEvent, ) from openai.types.beta.realtime.response_audio_delta_event import ResponseAudioDeltaEvent +from openai.types.beta.realtime.response_cancel_event import ( + ResponseCancelEvent as OpenAIResponseCancelEvent, +) +from openai.types.beta.realtime.response_create_event import ( + ResponseCreateEvent as OpenAIResponseCreateEvent, +) from openai.types.beta.realtime.session_update_event import ( Session as OpenAISessionObject, SessionTool as OpenAISessionTool, + SessionTracing as OpenAISessionTracing, + SessionTracingTracingConfiguration as OpenAISessionTracingConfiguration, + SessionUpdateEvent as OpenAISessionUpdateEvent, ) from pydantic import TypeAdapter from typing_extensions import assert_never @@ -135,12 +168,11 @@ async def _send_tracing_config( ) -> None: """Update tracing configuration via session.update event.""" if tracing_config is not None: + converted_tracing_config = _ConversionHelper.convert_tracing_config(tracing_config) await self._send_raw_message( - RealtimeModelSendRawMessage( - message={ - "type": "session.update", - "other_data": {"session": {"tracing": tracing_config}}, - } + OpenAISessionUpdateEvent( + session=OpenAISessionObject(tracing=converted_tracing_config), + type="session.update", ) ) @@ -199,7 +231,11 @@ async def _listen_for_messages(self): async def send_event(self, event: RealtimeModelSendEvent) -> None: """Send an event to the model.""" if isinstance(event, RealtimeModelSendRawMessage): - await self._send_raw_message(event) + converted = _ConversionHelper.try_convert_raw_message(event) + if converted is not None: + await self._send_raw_message(converted) + else: + logger.error(f"Failed to convert raw message: {event}") elif isinstance(event, RealtimeModelSendUserInput): await self._send_user_input(event) elif isinstance(event, RealtimeModelSendAudio): @@ -214,73 +250,28 @@ async def send_event(self, event: RealtimeModelSendEvent) -> None: assert_never(event) raise ValueError(f"Unknown event type: {type(event)}") - async def _send_raw_message(self, event: RealtimeModelSendRawMessage) -> None: + async def _send_raw_message(self, event: OpenAIRealtimeClientEvent) -> None: """Send a raw message to the model.""" assert self._websocket is not None, "Not connected" - converted_event = { - "type": event.message["type"], - } - - converted_event.update(event.message.get("other_data", {})) - - await self._websocket.send(json.dumps(converted_event)) + await self._websocket.send(event.model_dump_json(exclude_none=True, exclude_unset=True)) async def _send_user_input(self, event: RealtimeModelSendUserInput) -> None: - message = ( - event.user_input - if isinstance(event.user_input, dict) - else { - "type": "message", - "role": "user", - "content": [{"type": "input_text", "text": event.user_input}], - } - ) - other_data = { - "item": message, - } - - await self._send_raw_message( - RealtimeModelSendRawMessage( - message={"type": "conversation.item.create", "other_data": other_data} - ) - ) - await self._send_raw_message( - RealtimeModelSendRawMessage(message={"type": "response.create"}) - ) + converted = _ConversionHelper.convert_user_input_to_item_create(event) + await self._send_raw_message(converted) + await self._send_raw_message(OpenAIResponseCreateEvent(type="response.create")) async def _send_audio(self, event: RealtimeModelSendAudio) -> None: - base64_audio = base64.b64encode(event.audio).decode("utf-8") - await self._send_raw_message( - RealtimeModelSendRawMessage( - message={ - "type": "input_audio_buffer.append", - "other_data": { - "audio": base64_audio, - }, - } - ) - ) + converted = _ConversionHelper.convert_audio_to_input_audio_buffer_append(event) + await self._send_raw_message(converted) if event.commit: await self._send_raw_message( - RealtimeModelSendRawMessage(message={"type": "input_audio_buffer.commit"}) + OpenAIInputAudioBufferCommitEvent(type="input_audio_buffer.commit") ) async def _send_tool_output(self, event: RealtimeModelSendToolOutput) -> None: - await self._send_raw_message( - RealtimeModelSendRawMessage( - message={ - "type": "conversation.item.create", - "other_data": { - "item": { - "type": "function_call_output", - "output": event.output, - "call_id": event.tool_call.id, - }, - }, - } - ) - ) + converted = _ConversionHelper.convert_tool_output(event) + await self._send_raw_message(converted) tool_item = RealtimeToolCallItem( item_id=event.tool_call.id or "", @@ -294,9 +285,7 @@ async def _send_tool_output(self, event: RealtimeModelSendToolOutput) -> None: await self._emit_event(RealtimeModelItemUpdatedEvent(item=tool_item)) if event.start_response: - await self._send_raw_message( - RealtimeModelSendRawMessage(message={"type": "response.create"}) - ) + await self._send_raw_message(OpenAIResponseCreateEvent(type="response.create")) async def _send_interrupt(self, event: RealtimeModelSendInterrupt) -> None: if not self._current_item_id or not self._audio_start_time: @@ -307,18 +296,12 @@ async def _send_interrupt(self, event: RealtimeModelSendInterrupt) -> None: elapsed_time_ms = (datetime.now() - self._audio_start_time).total_seconds() * 1000 if elapsed_time_ms > 0 and elapsed_time_ms < self._audio_length_ms: await self._emit_event(RealtimeModelAudioInterruptedEvent()) - await self._send_raw_message( - RealtimeModelSendRawMessage( - message={ - "type": "conversation.item.truncate", - "other_data": { - "item_id": self._current_item_id, - "content_index": self._current_audio_content_index, - "audio_end_ms": elapsed_time_ms, - }, - } - ) + converted = _ConversionHelper.convert_interrupt( + self._current_item_id, + self._current_audio_content_index or 0, + int(elapsed_time_ms), ) + await self._send_raw_message(converted) self._current_item_id = None self._audio_start_time = None @@ -365,7 +348,7 @@ async def _handle_output_item(self, item: ConversationItem) -> None: await self._emit_event(RealtimeModelItemUpdatedEvent(item=tool_call)) await self._emit_event( RealtimeModelToolCallEvent( - call_id=item.id or "", + call_id=item.call_id or "", name=item.name or "", arguments=item.arguments or "", id=item.id or "", @@ -404,9 +387,7 @@ async def close(self) -> None: async def _cancel_response(self) -> None: if self._ongoing_response: - await self._send_raw_message( - RealtimeModelSendRawMessage(message={"type": "response.cancel"}) - ) + await self._send_raw_message(OpenAIResponseCancelEvent(type="response.cancel")) self._ongoing_response = False async def _handle_ws_event(self, event: dict[str, Any]): @@ -466,16 +447,13 @@ async def _handle_ws_event(self, event: dict[str, Any]): parsed.type == "conversation.item.input_audio_transcription.completed" or parsed.type == "conversation.item.truncated" ): - await self._send_raw_message( - RealtimeModelSendRawMessage( - message={ - "type": "conversation.item.retrieve", - "other_data": { - "item_id": self._current_item_id, - }, - } + if self._current_item_id: + await self._send_raw_message( + OpenAIConversationItemRetrieveEvent( + type="conversation.item.retrieve", + item_id=self._current_item_id, + ) ) - ) if parsed.type == "conversation.item.input_audio_transcription.completed": await self._emit_event( RealtimeModelInputAudioTranscriptionCompletedEvent( @@ -504,14 +482,7 @@ async def _handle_ws_event(self, event: dict[str, Any]): async def _update_session_config(self, model_settings: RealtimeSessionModelSettings) -> None: session_config = self._get_session_config(model_settings) await self._send_raw_message( - RealtimeModelSendRawMessage( - message={ - "type": "session.update", - "other_data": { - "session": session_config.model_dump(exclude_unset=True, exclude_none=True) - }, - } - ) + OpenAISessionUpdateEvent(session=session_config, type="session.update") ) def _get_session_config( @@ -582,3 +553,98 @@ def conversation_item_to_realtime_message_item( "status": "in_progress", }, ) + + @classmethod + def try_convert_raw_message( + cls, message: RealtimeModelSendRawMessage + ) -> OpenAIRealtimeClientEvent | None: + try: + data = {} + data["type"] = message.message["type"] + data.update(message.message.get("other_data", {})) + return TypeAdapter(OpenAIRealtimeClientEvent).validate_python(data) + except Exception: + return None + + @classmethod + def convert_tracing_config( + cls, tracing_config: RealtimeModelTracingConfig | Literal["auto"] | None + ) -> OpenAISessionTracing | None: + if tracing_config is None: + return None + elif tracing_config == "auto": + return "auto" + return OpenAISessionTracingConfiguration( + group_id=tracing_config.get("group_id"), + metadata=tracing_config.get("metadata"), + workflow_name=tracing_config.get("workflow_name"), + ) + + @classmethod + def convert_user_input_to_conversation_item( + cls, event: RealtimeModelSendUserInput + ) -> OpenAIConversationItem: + user_input = event.user_input + + if isinstance(user_input, dict): + return OpenAIConversationItem( + type="message", + role="user", + content=[ + OpenAIConversationItemContent( + type="input_text", + text=item.get("text"), + ) + for item in user_input.get("content", []) + ], + ) + else: + return OpenAIConversationItem( + type="message", + role="user", + content=[OpenAIConversationItemContent(type="input_text", text=user_input)], + ) + + @classmethod + def convert_user_input_to_item_create( + cls, event: RealtimeModelSendUserInput + ) -> OpenAIRealtimeClientEvent: + return OpenAIConversationItemCreateEvent( + type="conversation.item.create", + item=cls.convert_user_input_to_conversation_item(event), + ) + + @classmethod + def convert_audio_to_input_audio_buffer_append( + cls, event: RealtimeModelSendAudio + ) -> OpenAIRealtimeClientEvent: + base64_audio = base64.b64encode(event.audio).decode("utf-8") + return OpenAIInputAudioBufferAppendEvent( + type="input_audio_buffer.append", + audio=base64_audio, + ) + + @classmethod + def convert_tool_output(cls, event: RealtimeModelSendToolOutput) -> OpenAIRealtimeClientEvent: + return OpenAIConversationItemCreateEvent( + type="conversation.item.create", + item=OpenAIConversationItem( + type="function_call_output", + output=event.output, + call_id=event.tool_call.call_id, + ), + ) + + @classmethod + def convert_interrupt( + cls, + current_item_id: str, + current_audio_content_index: int, + elapsed_time_ms: int, + ) -> OpenAIRealtimeClientEvent: + return OpenAIConversationItemTruncateEvent( + type="conversation.item.truncate", + item_id=current_item_id, + content_index=current_audio_content_index, + audio_end_ms=elapsed_time_ms, + ) diff --git a/tests/realtime/test_conversion_helpers.py b/tests/realtime/test_conversion_helpers.py new file mode 100644 index 000000000..6c2af2593 --- /dev/null +++ b/tests/realtime/test_conversion_helpers.py @@ -0,0 +1,375 @@ +import base64 +from unittest.mock import Mock + +from openai.types.beta.realtime.conversation_item import ConversationItem +from openai.types.beta.realtime.conversation_item_create_event import ConversationItemCreateEvent +from openai.types.beta.realtime.conversation_item_truncate_event import ( + ConversationItemTruncateEvent, +) +from openai.types.beta.realtime.input_audio_buffer_append_event import InputAudioBufferAppendEvent +from openai.types.beta.realtime.session_update_event import ( + SessionTracingTracingConfiguration, +) + +from agents.realtime.config import RealtimeModelTracingConfig +from agents.realtime.model_inputs import ( + RealtimeModelSendAudio, + RealtimeModelSendRawMessage, + RealtimeModelSendToolOutput, + RealtimeModelSendUserInput, + RealtimeModelUserInputMessage, +) +from agents.realtime.openai_realtime import _ConversionHelper + + +class TestConversionHelperTryConvertRawMessage: + """Test suite for _ConversionHelper.try_convert_raw_message method.""" + + def test_try_convert_raw_message_valid_session_update(self): + """Test converting a valid session.update raw message.""" + raw_message = RealtimeModelSendRawMessage( + message={ + "type": "session.update", + "other_data": { + "session": { + "modalities": ["text", "audio"], + "voice": "ash", + } + }, + } + ) + + result = _ConversionHelper.try_convert_raw_message(raw_message) + + assert result is not None + assert result.type == "session.update" + + def test_try_convert_raw_message_valid_response_create(self): + """Test converting a valid response.create raw message.""" + raw_message = RealtimeModelSendRawMessage( + message={ + "type": "response.create", + "other_data": {}, + } + ) + + result = _ConversionHelper.try_convert_raw_message(raw_message) + + assert result is not None + assert result.type == "response.create" + + def test_try_convert_raw_message_invalid_type(self): + """Test converting an invalid message type returns None.""" + raw_message = RealtimeModelSendRawMessage( + message={ + "type": "invalid.message.type", + "other_data": {}, + } + ) + + result = _ConversionHelper.try_convert_raw_message(raw_message) + + assert result is None + + def test_try_convert_raw_message_malformed_data(self): + """Test converting malformed message data returns None.""" + raw_message = RealtimeModelSendRawMessage( + message={ + "type": "session.update", + "other_data": { + "session": "invalid_session_data" # Should be dict + }, + } + ) + + result = _ConversionHelper.try_convert_raw_message(raw_message) + + assert result is None + + def test_try_convert_raw_message_missing_type(self): + """Test converting message without type returns None.""" + raw_message = RealtimeModelSendRawMessage( + message={ + "type": "missing.type.test", + "other_data": {"some": "data"}, + } + ) + + result = _ConversionHelper.try_convert_raw_message(raw_message) + + assert result is None + + +class TestConversionHelperTracingConfig: + """Test suite for _ConversionHelper.convert_tracing_config method.""" + + def test_convert_tracing_config_none(self): + """Test converting None tracing config.""" + result = _ConversionHelper.convert_tracing_config(None) + assert result is None + + def test_convert_tracing_config_auto(self): + """Test converting 'auto' tracing config.""" + result = _ConversionHelper.convert_tracing_config("auto") + assert result == "auto" + + def test_convert_tracing_config_dict_full(self): + """Test converting full tracing config dict.""" + tracing_config: RealtimeModelTracingConfig = { + "group_id": "test-group", + "metadata": {"env": "test"}, + "workflow_name": "test-workflow", + } + + result = _ConversionHelper.convert_tracing_config(tracing_config) + + assert isinstance(result, SessionTracingTracingConfiguration) + assert result.group_id == "test-group" + assert result.metadata == {"env": "test"} + assert result.workflow_name == "test-workflow" + + def test_convert_tracing_config_dict_partial(self): + """Test converting partial tracing config dict.""" + tracing_config: RealtimeModelTracingConfig = { + "group_id": "test-group", + } + + result = _ConversionHelper.convert_tracing_config(tracing_config) + + assert isinstance(result, SessionTracingTracingConfiguration) + assert result.group_id == "test-group" + assert result.metadata is None + assert result.workflow_name is None + + def test_convert_tracing_config_empty_dict(self): + """Test converting empty tracing config dict.""" + tracing_config: RealtimeModelTracingConfig = {} + + result = _ConversionHelper.convert_tracing_config(tracing_config) + + assert isinstance(result, SessionTracingTracingConfiguration) + assert result.group_id is None + assert result.metadata is None + assert result.workflow_name is None + + +class TestConversionHelperUserInput: + """Test suite for _ConversionHelper user input conversion methods.""" + + def test_convert_user_input_to_conversation_item_string(self): + """Test converting string user input to conversation item.""" + event = RealtimeModelSendUserInput(user_input="Hello, world!") + + result = _ConversionHelper.convert_user_input_to_conversation_item(event) + + assert isinstance(result, ConversationItem) + assert result.type == "message" + assert result.role == "user" + assert result.content is not None + assert len(result.content) == 1 + assert result.content[0].type == "input_text" + assert result.content[0].text == "Hello, world!" + + def test_convert_user_input_to_conversation_item_dict(self): + """Test converting dict user input to conversation item.""" + user_input_dict: RealtimeModelUserInputMessage = { + "type": "message", + "role": "user", + "content": [ + {"type": "input_text", "text": "Hello"}, + {"type": "input_text", "text": "World"}, + ] + } + event = RealtimeModelSendUserInput(user_input=user_input_dict) + + result = _ConversionHelper.convert_user_input_to_conversation_item(event) + + assert isinstance(result, ConversationItem) + assert result.type == "message" + assert result.role == "user" + assert result.content is not None + assert len(result.content) == 2 + assert result.content[0].type == "input_text" + assert result.content[0].text == "Hello" + assert result.content[1].type == "input_text" + assert result.content[1].text == "World" + + def test_convert_user_input_to_conversation_item_dict_empty_content(self): + """Test converting dict user input with empty content.""" + user_input_dict: RealtimeModelUserInputMessage = { + "type": "message", + "role": "user", + "content": [] + } + event = RealtimeModelSendUserInput(user_input=user_input_dict) + + result = _ConversionHelper.convert_user_input_to_conversation_item(event) + + assert isinstance(result, ConversationItem) + assert result.type == "message" + assert result.role == "user" + assert result.content is not None + assert len(result.content) == 0 + + def test_convert_user_input_to_item_create(self): + """Test converting user input to item create event.""" + event = RealtimeModelSendUserInput(user_input="Test message") + + result = _ConversionHelper.convert_user_input_to_item_create(event) + + assert isinstance(result, ConversationItemCreateEvent) + assert result.type == "conversation.item.create" + assert isinstance(result.item, ConversationItem) + assert result.item.type == "message" + assert result.item.role == "user" + + +class TestConversionHelperAudio: + """Test suite for _ConversionHelper.convert_audio_to_input_audio_buffer_append.""" + + def test_convert_audio_to_input_audio_buffer_append(self): + """Test converting audio data to input audio buffer append event.""" + audio_data = b"test audio data" + event = RealtimeModelSendAudio(audio=audio_data, commit=False) + + result = _ConversionHelper.convert_audio_to_input_audio_buffer_append(event) + + assert isinstance(result, InputAudioBufferAppendEvent) + assert result.type == "input_audio_buffer.append" + + # Verify base64 encoding + expected_b64 = base64.b64encode(audio_data).decode("utf-8") + assert result.audio == expected_b64 + + def test_convert_audio_to_input_audio_buffer_append_empty(self): + """Test converting empty audio data.""" + audio_data = b"" + event = RealtimeModelSendAudio(audio=audio_data, commit=True) + + result = _ConversionHelper.convert_audio_to_input_audio_buffer_append(event) + + assert isinstance(result, InputAudioBufferAppendEvent) + assert result.type == "input_audio_buffer.append" + assert result.audio == "" + + def test_convert_audio_to_input_audio_buffer_append_large_data(self): + """Test converting large audio data.""" + audio_data = b"x" * 10000 # Large audio buffer + event = RealtimeModelSendAudio(audio=audio_data, commit=False) + + result = _ConversionHelper.convert_audio_to_input_audio_buffer_append(event) + + assert isinstance(result, InputAudioBufferAppendEvent) + assert result.type == "input_audio_buffer.append" + + # Verify it can be decoded back + decoded = base64.b64decode(result.audio) + assert decoded == audio_data + + +class TestConversionHelperToolOutput: + """Test suite for _ConversionHelper.convert_tool_output method.""" + + def test_convert_tool_output(self): + """Test converting tool output to conversation item create event.""" + mock_tool_call = Mock() + mock_tool_call.id = "call_123" + + event = RealtimeModelSendToolOutput( + tool_call=mock_tool_call, + output="Function executed successfully", + start_response=False, + ) + + result = _ConversionHelper.convert_tool_output(event) + + assert isinstance(result, ConversationItemCreateEvent) + assert result.type == "conversation.item.create" + assert isinstance(result.item, ConversationItem) + assert result.item.type == "function_call_output" + assert result.item.output == "Function executed successfully" + assert result.item.call_id == "call_123" + + def test_convert_tool_output_no_call_id(self): + """Test converting tool output with None call_id.""" + mock_tool_call = Mock() + mock_tool_call.id = None + + event = RealtimeModelSendToolOutput( + tool_call=mock_tool_call, + output="Output without call ID", + start_response=False, + ) + + result = _ConversionHelper.convert_tool_output(event) + + assert isinstance(result, ConversationItemCreateEvent) + assert result.type == "conversation.item.create" + assert result.item.call_id is None + + def test_convert_tool_output_empty_output(self): + """Test converting tool output with empty output.""" + mock_tool_call = Mock() + mock_tool_call.id = "call_456" + + event = RealtimeModelSendToolOutput( + tool_call=mock_tool_call, + output="", + start_response=True, + ) + + result = _ConversionHelper.convert_tool_output(event) + + assert isinstance(result, ConversationItemCreateEvent) + assert result.item.output == "" + assert result.item.call_id == "call_456" + + +class TestConversionHelperInterrupt: + """Test suite for _ConversionHelper.convert_interrupt method.""" + + def test_convert_interrupt(self): + """Test converting interrupt parameters to conversation item truncate event.""" + current_item_id = "item_789" + current_audio_content_index = 2 + elapsed_time_ms = 1500 + + result = _ConversionHelper.convert_interrupt( + current_item_id, current_audio_content_index, elapsed_time_ms + ) + + assert isinstance(result, ConversationItemTruncateEvent) + assert result.type == "conversation.item.truncate" + assert result.item_id == "item_789" + assert result.content_index == 2 + assert result.audio_end_ms == 1500 + + def test_convert_interrupt_zero_time(self): + """Test converting interrupt with zero elapsed time.""" + result = _ConversionHelper.convert_interrupt("item_1", 0, 0) + + assert isinstance(result, ConversationItemTruncateEvent) + assert result.type == "conversation.item.truncate" + assert result.item_id == "item_1" + assert result.content_index == 0 + assert result.audio_end_ms == 0 + + def test_convert_interrupt_large_values(self): + """Test converting interrupt with large values.""" + result = _ConversionHelper.convert_interrupt("item_xyz", 99, 999999) + + assert isinstance(result, ConversationItemTruncateEvent) + assert result.type == "conversation.item.truncate" + assert result.item_id == "item_xyz" + assert result.content_index == 99 + assert result.audio_end_ms == 999999 + + def test_convert_interrupt_empty_item_id(self): + """Test converting interrupt with empty item ID.""" + result = _ConversionHelper.convert_interrupt("", 1, 100) + + assert isinstance(result, ConversationItemTruncateEvent) + assert result.type == "conversation.item.truncate" + assert result.item_id == "" + assert result.content_index == 1 + assert result.audio_end_ms == 100 diff --git a/tests/realtime/test_tracing.py b/tests/realtime/test_tracing.py index 4cff46c49..85da63897 100644 --- a/tests/realtime/test_tracing.py +++ b/tests/realtime/test_tracing.py @@ -99,22 +99,18 @@ async def async_websocket(*args, **kwargs): await model._handle_ws_event(session_created_event) # Should send session.update with tracing config - from agents.realtime.model_inputs import RealtimeModelSendRawMessage - - expected_event = RealtimeModelSendRawMessage( - message={ - "type": "session.update", - "other_data": { - "session": { - "tracing": { - "workflow_name": "test_workflow", - "group_id": "group_123", - } - } - }, - } + from openai.types.beta.realtime.session_update_event import ( + SessionTracingTracingConfiguration, + SessionUpdateEvent, ) - mock_send_raw_message.assert_called_once_with(expected_event) + + mock_send_raw_message.assert_called_once() + call_args = mock_send_raw_message.call_args[0][0] + assert isinstance(call_args, SessionUpdateEvent) + assert call_args.type == "session.update" + assert isinstance(call_args.session.tracing, SessionTracingTracingConfiguration) + assert call_args.session.tracing.workflow_name == "test_workflow" + assert call_args.session.tracing.group_id == "group_123" @pytest.mark.asyncio async def test_send_tracing_config_auto_mode(self, model, mock_websocket): @@ -144,15 +140,13 @@ async def async_websocket(*args, **kwargs): await model._handle_ws_event(session_created_event) # Should send session.update with "auto" - from agents.realtime.model_inputs import RealtimeModelSendRawMessage + from openai.types.beta.realtime.session_update_event import SessionUpdateEvent - expected_event = RealtimeModelSendRawMessage( - message={ - "type": "session.update", - "other_data": {"session": {"tracing": "auto"}}, - } - ) - mock_send_raw_message.assert_called_once_with(expected_event) + mock_send_raw_message.assert_called_once() + call_args = mock_send_raw_message.call_args[0][0] + assert isinstance(call_args, SessionUpdateEvent) + assert call_args.type == "session.update" + assert call_args.session.tracing == "auto" @pytest.mark.asyncio async def test_tracing_config_none_skips_session_update(self, model, mock_websocket): @@ -209,22 +203,18 @@ async def async_websocket(*args, **kwargs): await model._handle_ws_event(session_created_event) # Should send session.update with complete tracing config including metadata - from agents.realtime.model_inputs import RealtimeModelSendRawMessage - - expected_event = RealtimeModelSendRawMessage( - message={ - "type": "session.update", - "other_data": { - "session": { - "tracing": { - "workflow_name": "complex_workflow", - "metadata": complex_metadata, - } - } - }, - } + from openai.types.beta.realtime.session_update_event import ( + SessionTracingTracingConfiguration, + SessionUpdateEvent, ) - mock_send_raw_message.assert_called_once_with(expected_event) + + mock_send_raw_message.assert_called_once() + call_args = mock_send_raw_message.call_args[0][0] + assert isinstance(call_args, SessionUpdateEvent) + assert call_args.type == "session.update" + assert isinstance(call_args.session.tracing, SessionTracingTracingConfiguration) + assert call_args.session.tracing.workflow_name == "complex_workflow" + assert call_args.session.tracing.metadata == complex_metadata @pytest.mark.asyncio async def test_tracing_disabled_prevents_tracing(self, mock_websocket): diff --git a/uv.lock b/uv.lock index 7d0621d88..3bff55bf9 100644 --- a/uv.lock +++ b/uv.lock @@ -1461,7 +1461,7 @@ wheels = [ [[package]] name = "openai" -version = "1.93.1" +version = "1.96.0" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "anyio" }, @@ -1473,9 +1473,9 @@ dependencies = [ { name = "tqdm" }, { name = "typing-extensions" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/5e/a8/e4427729da048cb33bda15e70f09f7520bdf3577bafc546b135ecb36af7d/openai-1.93.1.tar.gz", hash = "sha256:11eb8932965d0f79ecc4cb38a60a0c4cef4bcd5fcf08b99fc9a399fa5f1e50ab", size = 487124, upload-time = "2025-07-07T16:40:38.389Z" } +sdist = { url = "https://files.pythonhosted.org/packages/47/7d/dbc636786f8bf029600abdbf89da74706bdde37c4fe1471ce78834a7ecaa/openai-1.96.0.tar.gz", hash = "sha256:36e34b5aa2c9c0380c1934fa16ba53b3b3c6462450b4c008b98859b9b6424cf7", size = 488898, upload-time = "2025-07-15T15:56:52.853Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/64/4f/875e5af1fb4e5ed4ea9e4a88f482d9ca2e48932105605b6c516e9a14de25/openai-1.93.1-py3-none-any.whl", hash = "sha256:a2c2946c4f21346d4902311a7440381fd8a33466ee7ca688133d1cad29a9357c", size = 755081, upload-time = "2025-07-07T16:40:36.585Z" }, + { url = "https://files.pythonhosted.org/packages/dc/63/e29319a52449b7ac4c3a13a1448a9fa326aa1263478eb4c4a9bcbbe95648/openai-1.96.0-py3-none-any.whl", hash = "sha256:4dee023520f8a70ddeaa9f4d6fb247e6dcafd79d2ebb415e3f85932d95aa64a0", size = 757092, upload-time = "2025-07-15T15:56:50.387Z" }, ] [[package]] @@ -1539,7 +1539,7 @@ requires-dist = [ { name = "litellm", marker = "extra == 'litellm'", specifier = ">=1.67.4.post1,<2" }, { name = "mcp", marker = "python_full_version >= '3.10'", specifier = ">=1.9.4,<2" }, { name = "numpy", marker = "python_full_version >= '3.10' and extra == 'voice'", specifier = ">=2.2.0,<3" }, - { name = "openai", specifier = ">=1.93.1,<2" }, + { name = "openai", specifier = ">=1.96.0,<2" }, { name = "pydantic", specifier = ">=2.10,<3" }, { name = "requests", specifier = ">=2.0,<3" }, { name = "types-requests", specifier = ">=2.0,<3" }, From 6edb31f8efb151580ef1c67b55fa1f63ca7978ab Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 15 Jul 2025 15:27:07 -0400 Subject: [PATCH 236/337] Realtime: introduce a demo without a UI --- examples/realtime/demo.py | 3 +- examples/realtime/no_ui_demo.py | 178 ++++++++++++++++++++++++++++++++ 2 files changed, 180 insertions(+), 1 deletion(-) create mode 100644 examples/realtime/no_ui_demo.py diff --git a/examples/realtime/demo.py b/examples/realtime/demo.py index 3db051963..e366212d2 100644 --- a/examples/realtime/demo.py +++ b/examples/realtime/demo.py @@ -103,7 +103,8 @@ async def _on_event(self, event: RealtimeSessionEvent) -> None: elif event.type == "history_added": pass elif event.type == "raw_model_event": - self.ui.log_message(f"Raw model event: {_truncate_str(str(event.data), 50)}") + if event.data.type != "error" and event.data.type != "exception": + self.ui.log_message(f"Raw model event: {event.data}") else: self.ui.log_message(f"Unknown event type: {event.type}") except Exception as e: diff --git a/examples/realtime/no_ui_demo.py b/examples/realtime/no_ui_demo.py new file mode 100644 index 000000000..ff53fea84 --- /dev/null +++ b/examples/realtime/no_ui_demo.py @@ -0,0 +1,178 @@ +import asyncio +import sys + +import numpy as np +import sounddevice as sd + +from agents import function_tool +from agents.realtime import RealtimeAgent, RealtimeRunner, RealtimeSession, RealtimeSessionEvent + +# Audio configuration +CHUNK_LENGTH_S = 0.05 # 50ms +SAMPLE_RATE = 24000 +FORMAT = np.int16 +CHANNELS = 1 + +# Set up logging for OpenAI agents SDK +# logging.basicConfig( +# level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s" +# ) +# logger.logger.setLevel(logging.ERROR) + + +@function_tool +def get_weather(city: str) -> str: + """Get the weather in a city.""" + return f"The weather in {city} is sunny." + + +agent = RealtimeAgent( + name="Assistant", + instructions="You always greet the user with 'Top of the morning to you'.", + tools=[get_weather], +) + + +def _truncate_str(s: str, max_length: int) -> str: + if len(s) > max_length: + return s[:max_length] + "..." + return s + + +class NoUIDemo: + def __init__(self) -> None: + self.session: RealtimeSession | None = None + self.audio_stream: sd.InputStream | None = None + self.audio_player: sd.OutputStream | None = None + self.recording = False + + async def run(self) -> None: + print("Connecting, may take a few seconds...") + + # Initialize audio player + self.audio_player = sd.OutputStream( + channels=CHANNELS, + samplerate=SAMPLE_RATE, + dtype=FORMAT, + ) + self.audio_player.start() + + try: + runner = RealtimeRunner(agent) + async with await runner.run() as session: + self.session = session + print("Connected. Starting audio recording...") + + # Start audio recording + await self.start_audio_recording() + print("Audio recording started. You can start speaking - expect lots of logs!") + + # Process session events + async for event in session: + await self._on_event(event) + + finally: + # Clean up audio player + if self.audio_player and self.audio_player.active: + self.audio_player.stop() + if self.audio_player: + self.audio_player.close() + + print("Session ended") + + async def start_audio_recording(self) -> None: + """Start recording audio from the microphone.""" + # Set up audio input stream + self.audio_stream = sd.InputStream( + channels=CHANNELS, + samplerate=SAMPLE_RATE, + dtype=FORMAT, + ) + + self.audio_stream.start() + self.recording = True + + # Start audio capture task + asyncio.create_task(self.capture_audio()) + + async def capture_audio(self) -> None: + """Capture audio from the microphone and send to the session.""" + if not self.audio_stream or not self.session: + return + + # Buffer size in samples + read_size = int(SAMPLE_RATE * CHUNK_LENGTH_S) + + try: + while self.recording: + # Check if there's enough data to read + if self.audio_stream.read_available < read_size: + await asyncio.sleep(0.01) + continue + + # Read audio data + data, _ = self.audio_stream.read(read_size) + + # Convert numpy array to bytes + audio_bytes = data.tobytes() + + # Send audio to session + await self.session.send_audio(audio_bytes) + + # Yield control back to event loop + await asyncio.sleep(0) + + except Exception as e: + print(f"Audio capture error: {e}") + finally: + if self.audio_stream and self.audio_stream.active: + self.audio_stream.stop() + if self.audio_stream: + self.audio_stream.close() + + async def _on_event(self, event: RealtimeSessionEvent) -> None: + """Handle session events.""" + try: + if event.type == "agent_start": + print(f"Agent started: {event.agent.name}") + elif event.type == "agent_end": + print(f"Agent ended: {event.agent.name}") + elif event.type == "handoff": + print(f"Handoff from {event.from_agent.name} to {event.to_agent.name}") + elif event.type == "tool_start": + print(f"Tool started: {event.tool.name}") + elif event.type == "tool_end": + print(f"Tool ended: {event.tool.name}; output: {event.output}") + elif event.type == "audio_end": + print("Audio ended") + elif event.type == "audio": + # Play audio through speakers + np_audio = np.frombuffer(event.audio.data, dtype=np.int16) + if self.audio_player: + try: + self.audio_player.write(np_audio) + except Exception as e: + print(f"Audio playback error: {e}") + elif event.type == "audio_interrupted": + print("Audio interrupted") + elif event.type == "error": + print(f"Error: {event.error}") + elif event.type == "history_updated": + pass # Skip these frequent events + elif event.type == "history_added": + pass # Skip these frequent events + elif event.type == "raw_model_event": + print(f"Raw model event: {_truncate_str(str(event.data), 50)}") + else: + print(f"Unknown event type: {event.type}") + except Exception as e: + print(f"Error processing event: {_truncate_str(str(e), 50)}") + + +if __name__ == "__main__": + demo = NoUIDemo() + try: + asyncio.run(demo.run()) + except KeyboardInterrupt: + print("\nExiting...") + sys.exit(0) From 59ad992870b5f6108d357dae64076f37271e200a Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 15 Jul 2025 15:27:07 -0400 Subject: [PATCH 237/337] Realtime: use SDK types for all messages --- pyproject.toml | 2 +- src/agents/realtime/openai_realtime.py | 258 +++++++++------ tests/realtime/test_conversion_helpers.py | 375 ++++++++++++++++++++++ tests/realtime/test_tracing.py | 66 ++-- uv.lock | 8 +- 5 files changed, 570 insertions(+), 139 deletions(-) create mode 100644 tests/realtime/test_conversion_helpers.py diff --git a/pyproject.toml b/pyproject.toml index 0f9b70852..b654f0c3d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -7,7 +7,7 @@ requires-python = ">=3.9" license = "MIT" authors = [{ name = "OpenAI", email = "support@openai.com" }] dependencies = [ - "openai>=1.93.1, <2", + "openai>=1.96.0, <2", "pydantic>=2.10, <3", "griffe>=1.5.6, <2", "typing-extensions>=4.12.2, <5", diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 1c4a4de3c..8140782a8 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -10,14 +10,47 @@ import pydantic import websockets -from openai.types.beta.realtime.conversation_item import ConversationItem +from openai.types.beta.realtime.conversation_item import ( + ConversationItem, + ConversationItem as OpenAIConversationItem, +) +from openai.types.beta.realtime.conversation_item_content import ( + ConversationItemContent as OpenAIConversationItemContent, +) +from openai.types.beta.realtime.conversation_item_create_event import ( + ConversationItemCreateEvent as OpenAIConversationItemCreateEvent, +) +from openai.types.beta.realtime.conversation_item_retrieve_event import ( + ConversationItemRetrieveEvent as OpenAIConversationItemRetrieveEvent, +) +from openai.types.beta.realtime.conversation_item_truncate_event import ( + ConversationItemTruncateEvent as OpenAIConversationItemTruncateEvent, +) +from openai.types.beta.realtime.input_audio_buffer_append_event import ( + InputAudioBufferAppendEvent as OpenAIInputAudioBufferAppendEvent, +) +from openai.types.beta.realtime.input_audio_buffer_commit_event import ( + InputAudioBufferCommitEvent as OpenAIInputAudioBufferCommitEvent, +) +from openai.types.beta.realtime.realtime_client_event import ( + RealtimeClientEvent as OpenAIRealtimeClientEvent, +) from openai.types.beta.realtime.realtime_server_event import ( RealtimeServerEvent as OpenAIRealtimeServerEvent, ) from openai.types.beta.realtime.response_audio_delta_event import ResponseAudioDeltaEvent +from openai.types.beta.realtime.response_cancel_event import ( + ResponseCancelEvent as OpenAIResponseCancelEvent, +) +from openai.types.beta.realtime.response_create_event import ( + ResponseCreateEvent as OpenAIResponseCreateEvent, +) from openai.types.beta.realtime.session_update_event import ( Session as OpenAISessionObject, SessionTool as OpenAISessionTool, + SessionTracing as OpenAISessionTracing, + SessionTracingTracingConfiguration as OpenAISessionTracingConfiguration, + SessionUpdateEvent as OpenAISessionUpdateEvent, ) from pydantic import TypeAdapter from typing_extensions import assert_never @@ -135,12 +168,11 @@ async def _send_tracing_config( ) -> None: """Update tracing configuration via session.update event.""" if tracing_config is not None: + converted_tracing_config = _ConversionHelper.convert_tracing_config(tracing_config) await self._send_raw_message( - RealtimeModelSendRawMessage( - message={ - "type": "session.update", - "other_data": {"session": {"tracing": tracing_config}}, - } + OpenAISessionUpdateEvent( + session=OpenAISessionObject(tracing=converted_tracing_config), + type="session.update", ) ) @@ -199,7 +231,11 @@ async def _listen_for_messages(self): async def send_event(self, event: RealtimeModelSendEvent) -> None: """Send an event to the model.""" if isinstance(event, RealtimeModelSendRawMessage): - await self._send_raw_message(event) + converted = _ConversionHelper.try_convert_raw_message(event) + if converted is not None: + await self._send_raw_message(converted) + else: + logger.error(f"Failed to convert raw message: {event}") elif isinstance(event, RealtimeModelSendUserInput): await self._send_user_input(event) elif isinstance(event, RealtimeModelSendAudio): @@ -214,73 +250,28 @@ async def send_event(self, event: RealtimeModelSendEvent) -> None: assert_never(event) raise ValueError(f"Unknown event type: {type(event)}") - async def _send_raw_message(self, event: RealtimeModelSendRawMessage) -> None: + async def _send_raw_message(self, event: OpenAIRealtimeClientEvent) -> None: """Send a raw message to the model.""" assert self._websocket is not None, "Not connected" - converted_event = { - "type": event.message["type"], - } - - converted_event.update(event.message.get("other_data", {})) - - await self._websocket.send(json.dumps(converted_event)) + await self._websocket.send(event.model_dump_json(exclude_none=True, exclude_unset=True)) async def _send_user_input(self, event: RealtimeModelSendUserInput) -> None: - message = ( - event.user_input - if isinstance(event.user_input, dict) - else { - "type": "message", - "role": "user", - "content": [{"type": "input_text", "text": event.user_input}], - } - ) - other_data = { - "item": message, - } - - await self._send_raw_message( - RealtimeModelSendRawMessage( - message={"type": "conversation.item.create", "other_data": other_data} - ) - ) - await self._send_raw_message( - RealtimeModelSendRawMessage(message={"type": "response.create"}) - ) + converted = _ConversionHelper.convert_user_input_to_item_create(event) + await self._send_raw_message(converted) + await self._send_raw_message(OpenAIResponseCreateEvent(type="response.create")) async def _send_audio(self, event: RealtimeModelSendAudio) -> None: - base64_audio = base64.b64encode(event.audio).decode("utf-8") - await self._send_raw_message( - RealtimeModelSendRawMessage( - message={ - "type": "input_audio_buffer.append", - "other_data": { - "audio": base64_audio, - }, - } - ) - ) + converted = _ConversionHelper.convert_audio_to_input_audio_buffer_append(event) + await self._send_raw_message(converted) if event.commit: await self._send_raw_message( - RealtimeModelSendRawMessage(message={"type": "input_audio_buffer.commit"}) + OpenAIInputAudioBufferCommitEvent(type="input_audio_buffer.commit") ) async def _send_tool_output(self, event: RealtimeModelSendToolOutput) -> None: - await self._send_raw_message( - RealtimeModelSendRawMessage( - message={ - "type": "conversation.item.create", - "other_data": { - "item": { - "type": "function_call_output", - "output": event.output, - "call_id": event.tool_call.id, - }, - }, - } - ) - ) + converted = _ConversionHelper.convert_tool_output(event) + await self._send_raw_message(converted) tool_item = RealtimeToolCallItem( item_id=event.tool_call.id or "", @@ -294,9 +285,7 @@ async def _send_tool_output(self, event: RealtimeModelSendToolOutput) -> None: await self._emit_event(RealtimeModelItemUpdatedEvent(item=tool_item)) if event.start_response: - await self._send_raw_message( - RealtimeModelSendRawMessage(message={"type": "response.create"}) - ) + await self._send_raw_message(OpenAIResponseCreateEvent(type="response.create")) async def _send_interrupt(self, event: RealtimeModelSendInterrupt) -> None: if not self._current_item_id or not self._audio_start_time: @@ -307,18 +296,12 @@ async def _send_interrupt(self, event: RealtimeModelSendInterrupt) -> None: elapsed_time_ms = (datetime.now() - self._audio_start_time).total_seconds() * 1000 if elapsed_time_ms > 0 and elapsed_time_ms < self._audio_length_ms: await self._emit_event(RealtimeModelAudioInterruptedEvent()) - await self._send_raw_message( - RealtimeModelSendRawMessage( - message={ - "type": "conversation.item.truncate", - "other_data": { - "item_id": self._current_item_id, - "content_index": self._current_audio_content_index, - "audio_end_ms": elapsed_time_ms, - }, - } - ) + converted = _ConversionHelper.convert_interrupt( + self._current_item_id, + self._current_audio_content_index or 0, + int(elapsed_time_ms), ) + await self._send_raw_message(converted) self._current_item_id = None self._audio_start_time = None @@ -404,9 +387,7 @@ async def close(self) -> None: async def _cancel_response(self) -> None: if self._ongoing_response: - await self._send_raw_message( - RealtimeModelSendRawMessage(message={"type": "response.cancel"}) - ) + await self._send_raw_message(OpenAIResponseCancelEvent(type="response.cancel")) self._ongoing_response = False async def _handle_ws_event(self, event: dict[str, Any]): @@ -466,16 +447,13 @@ async def _handle_ws_event(self, event: dict[str, Any]): parsed.type == "conversation.item.input_audio_transcription.completed" or parsed.type == "conversation.item.truncated" ): - await self._send_raw_message( - RealtimeModelSendRawMessage( - message={ - "type": "conversation.item.retrieve", - "other_data": { - "item_id": self._current_item_id, - }, - } + if self._current_item_id: + await self._send_raw_message( + OpenAIConversationItemRetrieveEvent( + type="conversation.item.retrieve", + item_id=self._current_item_id, + ) ) - ) if parsed.type == "conversation.item.input_audio_transcription.completed": await self._emit_event( RealtimeModelInputAudioTranscriptionCompletedEvent( @@ -504,14 +482,7 @@ async def _handle_ws_event(self, event: dict[str, Any]): async def _update_session_config(self, model_settings: RealtimeSessionModelSettings) -> None: session_config = self._get_session_config(model_settings) await self._send_raw_message( - RealtimeModelSendRawMessage( - message={ - "type": "session.update", - "other_data": { - "session": session_config.model_dump(exclude_unset=True, exclude_none=True) - }, - } - ) + OpenAISessionUpdateEvent(session=session_config, type="session.update") ) def _get_session_config( @@ -582,3 +553,98 @@ def conversation_item_to_realtime_message_item( "status": "in_progress", }, ) + + @classmethod + def try_convert_raw_message( + cls, message: RealtimeModelSendRawMessage + ) -> OpenAIRealtimeClientEvent | None: + try: + data = {} + data["type"] = message.message["type"] + data.update(message.message.get("other_data", {})) + return TypeAdapter(OpenAIRealtimeClientEvent).validate_python(data) + except Exception: + return None + + @classmethod + def convert_tracing_config( + cls, tracing_config: RealtimeModelTracingConfig | Literal["auto"] | None + ) -> OpenAISessionTracing | None: + if tracing_config is None: + return None + elif tracing_config == "auto": + return "auto" + return OpenAISessionTracingConfiguration( + group_id=tracing_config.get("group_id"), + metadata=tracing_config.get("metadata"), + workflow_name=tracing_config.get("workflow_name"), + ) + + @classmethod + def convert_user_input_to_conversation_item( + cls, event: RealtimeModelSendUserInput + ) -> OpenAIConversationItem: + user_input = event.user_input + + if isinstance(user_input, dict): + return OpenAIConversationItem( + type="message", + role="user", + content=[ + OpenAIConversationItemContent( + type="input_text", + text=item.get("text"), + ) + for item in user_input.get("content", []) + ], + ) + else: + return OpenAIConversationItem( + type="message", + role="user", + content=[OpenAIConversationItemContent(type="input_text", text=user_input)], + ) + + @classmethod + def convert_user_input_to_item_create( + cls, event: RealtimeModelSendUserInput + ) -> OpenAIRealtimeClientEvent: + return OpenAIConversationItemCreateEvent( + type="conversation.item.create", + item=cls.convert_user_input_to_conversation_item(event), + ) + + @classmethod + def convert_audio_to_input_audio_buffer_append( + cls, event: RealtimeModelSendAudio + ) -> OpenAIRealtimeClientEvent: + base64_audio = base64.b64encode(event.audio).decode("utf-8") + return OpenAIInputAudioBufferAppendEvent( + type="input_audio_buffer.append", + audio=base64_audio, + ) + + @classmethod + def convert_tool_output(cls, event: RealtimeModelSendToolOutput) -> OpenAIRealtimeClientEvent: + return OpenAIConversationItemCreateEvent( + type="conversation.item.create", + item=OpenAIConversationItem( + type="function_call_output", + output=event.output, + call_id=event.tool_call.call_id, + ), + ) + + @classmethod + def convert_interrupt( + cls, + current_item_id: str, + current_audio_content_index: int, + elapsed_time_ms: int, + ) -> OpenAIRealtimeClientEvent: + return OpenAIConversationItemTruncateEvent( + type="conversation.item.truncate", + item_id=current_item_id, + content_index=current_audio_content_index, + audio_end_ms=elapsed_time_ms, + ) diff --git a/tests/realtime/test_conversion_helpers.py b/tests/realtime/test_conversion_helpers.py new file mode 100644 index 000000000..2264407c9 --- /dev/null +++ b/tests/realtime/test_conversion_helpers.py @@ -0,0 +1,375 @@ +import base64 +from unittest.mock import Mock + +from openai.types.beta.realtime.conversation_item import ConversationItem +from openai.types.beta.realtime.conversation_item_create_event import ConversationItemCreateEvent +from openai.types.beta.realtime.conversation_item_truncate_event import ( + ConversationItemTruncateEvent, +) +from openai.types.beta.realtime.input_audio_buffer_append_event import InputAudioBufferAppendEvent +from openai.types.beta.realtime.session_update_event import ( + SessionTracingTracingConfiguration, +) + +from agents.realtime.config import RealtimeModelTracingConfig +from agents.realtime.model_inputs import ( + RealtimeModelSendAudio, + RealtimeModelSendRawMessage, + RealtimeModelSendToolOutput, + RealtimeModelSendUserInput, + RealtimeModelUserInputMessage, +) +from agents.realtime.openai_realtime import _ConversionHelper + + +class TestConversionHelperTryConvertRawMessage: + """Test suite for _ConversionHelper.try_convert_raw_message method.""" + + def test_try_convert_raw_message_valid_session_update(self): + """Test converting a valid session.update raw message.""" + raw_message = RealtimeModelSendRawMessage( + message={ + "type": "session.update", + "other_data": { + "session": { + "modalities": ["text", "audio"], + "voice": "ash", + } + }, + } + ) + + result = _ConversionHelper.try_convert_raw_message(raw_message) + + assert result is not None + assert result.type == "session.update" + + def test_try_convert_raw_message_valid_response_create(self): + """Test converting a valid response.create raw message.""" + raw_message = RealtimeModelSendRawMessage( + message={ + "type": "response.create", + "other_data": {}, + } + ) + + result = _ConversionHelper.try_convert_raw_message(raw_message) + + assert result is not None + assert result.type == "response.create" + + def test_try_convert_raw_message_invalid_type(self): + """Test converting an invalid message type returns None.""" + raw_message = RealtimeModelSendRawMessage( + message={ + "type": "invalid.message.type", + "other_data": {}, + } + ) + + result = _ConversionHelper.try_convert_raw_message(raw_message) + + assert result is None + + def test_try_convert_raw_message_malformed_data(self): + """Test converting malformed message data returns None.""" + raw_message = RealtimeModelSendRawMessage( + message={ + "type": "session.update", + "other_data": { + "session": "invalid_session_data" # Should be dict + }, + } + ) + + result = _ConversionHelper.try_convert_raw_message(raw_message) + + assert result is None + + def test_try_convert_raw_message_missing_type(self): + """Test converting message without type returns None.""" + raw_message = RealtimeModelSendRawMessage( + message={ + "type": "missing.type.test", + "other_data": {"some": "data"}, + } + ) + + result = _ConversionHelper.try_convert_raw_message(raw_message) + + assert result is None + + +class TestConversionHelperTracingConfig: + """Test suite for _ConversionHelper.convert_tracing_config method.""" + + def test_convert_tracing_config_none(self): + """Test converting None tracing config.""" + result = _ConversionHelper.convert_tracing_config(None) + assert result is None + + def test_convert_tracing_config_auto(self): + """Test converting 'auto' tracing config.""" + result = _ConversionHelper.convert_tracing_config("auto") + assert result == "auto" + + def test_convert_tracing_config_dict_full(self): + """Test converting full tracing config dict.""" + tracing_config: RealtimeModelTracingConfig = { + "group_id": "test-group", + "metadata": {"env": "test"}, + "workflow_name": "test-workflow", + } + + result = _ConversionHelper.convert_tracing_config(tracing_config) + + assert isinstance(result, SessionTracingTracingConfiguration) + assert result.group_id == "test-group" + assert result.metadata == {"env": "test"} + assert result.workflow_name == "test-workflow" + + def test_convert_tracing_config_dict_partial(self): + """Test converting partial tracing config dict.""" + tracing_config: RealtimeModelTracingConfig = { + "group_id": "test-group", + } + + result = _ConversionHelper.convert_tracing_config(tracing_config) + + assert isinstance(result, SessionTracingTracingConfiguration) + assert result.group_id == "test-group" + assert result.metadata is None + assert result.workflow_name is None + + def test_convert_tracing_config_empty_dict(self): + """Test converting empty tracing config dict.""" + tracing_config: RealtimeModelTracingConfig = {} + + result = _ConversionHelper.convert_tracing_config(tracing_config) + + assert isinstance(result, SessionTracingTracingConfiguration) + assert result.group_id is None + assert result.metadata is None + assert result.workflow_name is None + + +class TestConversionHelperUserInput: + """Test suite for _ConversionHelper user input conversion methods.""" + + def test_convert_user_input_to_conversation_item_string(self): + """Test converting string user input to conversation item.""" + event = RealtimeModelSendUserInput(user_input="Hello, world!") + + result = _ConversionHelper.convert_user_input_to_conversation_item(event) + + assert isinstance(result, ConversationItem) + assert result.type == "message" + assert result.role == "user" + assert result.content is not None + assert len(result.content) == 1 + assert result.content[0].type == "input_text" + assert result.content[0].text == "Hello, world!" + + def test_convert_user_input_to_conversation_item_dict(self): + """Test converting dict user input to conversation item.""" + user_input_dict: RealtimeModelUserInputMessage = { + "type": "message", + "role": "user", + "content": [ + {"type": "input_text", "text": "Hello"}, + {"type": "input_text", "text": "World"}, + ] + } + event = RealtimeModelSendUserInput(user_input=user_input_dict) + + result = _ConversionHelper.convert_user_input_to_conversation_item(event) + + assert isinstance(result, ConversationItem) + assert result.type == "message" + assert result.role == "user" + assert result.content is not None + assert len(result.content) == 2 + assert result.content[0].type == "input_text" + assert result.content[0].text == "Hello" + assert result.content[1].type == "input_text" + assert result.content[1].text == "World" + + def test_convert_user_input_to_conversation_item_dict_empty_content(self): + """Test converting dict user input with empty content.""" + user_input_dict: RealtimeModelUserInputMessage = { + "type": "message", + "role": "user", + "content": [] + } + event = RealtimeModelSendUserInput(user_input=user_input_dict) + + result = _ConversionHelper.convert_user_input_to_conversation_item(event) + + assert isinstance(result, ConversationItem) + assert result.type == "message" + assert result.role == "user" + assert result.content is not None + assert len(result.content) == 0 + + def test_convert_user_input_to_item_create(self): + """Test converting user input to item create event.""" + event = RealtimeModelSendUserInput(user_input="Test message") + + result = _ConversionHelper.convert_user_input_to_item_create(event) + + assert isinstance(result, ConversationItemCreateEvent) + assert result.type == "conversation.item.create" + assert isinstance(result.item, ConversationItem) + assert result.item.type == "message" + assert result.item.role == "user" + + +class TestConversionHelperAudio: + """Test suite for _ConversionHelper.convert_audio_to_input_audio_buffer_append.""" + + def test_convert_audio_to_input_audio_buffer_append(self): + """Test converting audio data to input audio buffer append event.""" + audio_data = b"test audio data" + event = RealtimeModelSendAudio(audio=audio_data, commit=False) + + result = _ConversionHelper.convert_audio_to_input_audio_buffer_append(event) + + assert isinstance(result, InputAudioBufferAppendEvent) + assert result.type == "input_audio_buffer.append" + + # Verify base64 encoding + expected_b64 = base64.b64encode(audio_data).decode("utf-8") + assert result.audio == expected_b64 + + def test_convert_audio_to_input_audio_buffer_append_empty(self): + """Test converting empty audio data.""" + audio_data = b"" + event = RealtimeModelSendAudio(audio=audio_data, commit=True) + + result = _ConversionHelper.convert_audio_to_input_audio_buffer_append(event) + + assert isinstance(result, InputAudioBufferAppendEvent) + assert result.type == "input_audio_buffer.append" + assert result.audio == "" + + def test_convert_audio_to_input_audio_buffer_append_large_data(self): + """Test converting large audio data.""" + audio_data = b"x" * 10000 # Large audio buffer + event = RealtimeModelSendAudio(audio=audio_data, commit=False) + + result = _ConversionHelper.convert_audio_to_input_audio_buffer_append(event) + + assert isinstance(result, InputAudioBufferAppendEvent) + assert result.type == "input_audio_buffer.append" + + # Verify it can be decoded back + decoded = base64.b64decode(result.audio) + assert decoded == audio_data + + +class TestConversionHelperToolOutput: + """Test suite for _ConversionHelper.convert_tool_output method.""" + + def test_convert_tool_output(self): + """Test converting tool output to conversation item create event.""" + mock_tool_call = Mock() + mock_tool_call.call_id = "call_123" + + event = RealtimeModelSendToolOutput( + tool_call=mock_tool_call, + output="Function executed successfully", + start_response=False, + ) + + result = _ConversionHelper.convert_tool_output(event) + + assert isinstance(result, ConversationItemCreateEvent) + assert result.type == "conversation.item.create" + assert isinstance(result.item, ConversationItem) + assert result.item.type == "function_call_output" + assert result.item.output == "Function executed successfully" + assert result.item.call_id == "call_123" + + def test_convert_tool_output_no_call_id(self): + """Test converting tool output with None call_id.""" + mock_tool_call = Mock() + mock_tool_call.call_id = None + + event = RealtimeModelSendToolOutput( + tool_call=mock_tool_call, + output="Output without call ID", + start_response=False, + ) + + result = _ConversionHelper.convert_tool_output(event) + + assert isinstance(result, ConversationItemCreateEvent) + assert result.type == "conversation.item.create" + assert result.item.call_id is None + + def test_convert_tool_output_empty_output(self): + """Test converting tool output with empty output.""" + mock_tool_call = Mock() + mock_tool_call.call_id = "call_456" + + event = RealtimeModelSendToolOutput( + tool_call=mock_tool_call, + output="", + start_response=True, + ) + + result = _ConversionHelper.convert_tool_output(event) + + assert isinstance(result, ConversationItemCreateEvent) + assert result.item.output == "" + assert result.item.call_id == "call_456" + + +class TestConversionHelperInterrupt: + """Test suite for _ConversionHelper.convert_interrupt method.""" + + def test_convert_interrupt(self): + """Test converting interrupt parameters to conversation item truncate event.""" + current_item_id = "item_789" + current_audio_content_index = 2 + elapsed_time_ms = 1500 + + result = _ConversionHelper.convert_interrupt( + current_item_id, current_audio_content_index, elapsed_time_ms + ) + + assert isinstance(result, ConversationItemTruncateEvent) + assert result.type == "conversation.item.truncate" + assert result.item_id == "item_789" + assert result.content_index == 2 + assert result.audio_end_ms == 1500 + + def test_convert_interrupt_zero_time(self): + """Test converting interrupt with zero elapsed time.""" + result = _ConversionHelper.convert_interrupt("item_1", 0, 0) + + assert isinstance(result, ConversationItemTruncateEvent) + assert result.type == "conversation.item.truncate" + assert result.item_id == "item_1" + assert result.content_index == 0 + assert result.audio_end_ms == 0 + + def test_convert_interrupt_large_values(self): + """Test converting interrupt with large values.""" + result = _ConversionHelper.convert_interrupt("item_xyz", 99, 999999) + + assert isinstance(result, ConversationItemTruncateEvent) + assert result.type == "conversation.item.truncate" + assert result.item_id == "item_xyz" + assert result.content_index == 99 + assert result.audio_end_ms == 999999 + + def test_convert_interrupt_empty_item_id(self): + """Test converting interrupt with empty item ID.""" + result = _ConversionHelper.convert_interrupt("", 1, 100) + + assert isinstance(result, ConversationItemTruncateEvent) + assert result.type == "conversation.item.truncate" + assert result.item_id == "" + assert result.content_index == 1 + assert result.audio_end_ms == 100 diff --git a/tests/realtime/test_tracing.py b/tests/realtime/test_tracing.py index 4cff46c49..85da63897 100644 --- a/tests/realtime/test_tracing.py +++ b/tests/realtime/test_tracing.py @@ -99,22 +99,18 @@ async def async_websocket(*args, **kwargs): await model._handle_ws_event(session_created_event) # Should send session.update with tracing config - from agents.realtime.model_inputs import RealtimeModelSendRawMessage - - expected_event = RealtimeModelSendRawMessage( - message={ - "type": "session.update", - "other_data": { - "session": { - "tracing": { - "workflow_name": "test_workflow", - "group_id": "group_123", - } - } - }, - } + from openai.types.beta.realtime.session_update_event import ( + SessionTracingTracingConfiguration, + SessionUpdateEvent, ) - mock_send_raw_message.assert_called_once_with(expected_event) + + mock_send_raw_message.assert_called_once() + call_args = mock_send_raw_message.call_args[0][0] + assert isinstance(call_args, SessionUpdateEvent) + assert call_args.type == "session.update" + assert isinstance(call_args.session.tracing, SessionTracingTracingConfiguration) + assert call_args.session.tracing.workflow_name == "test_workflow" + assert call_args.session.tracing.group_id == "group_123" @pytest.mark.asyncio async def test_send_tracing_config_auto_mode(self, model, mock_websocket): @@ -144,15 +140,13 @@ async def async_websocket(*args, **kwargs): await model._handle_ws_event(session_created_event) # Should send session.update with "auto" - from agents.realtime.model_inputs import RealtimeModelSendRawMessage + from openai.types.beta.realtime.session_update_event import SessionUpdateEvent - expected_event = RealtimeModelSendRawMessage( - message={ - "type": "session.update", - "other_data": {"session": {"tracing": "auto"}}, - } - ) - mock_send_raw_message.assert_called_once_with(expected_event) + mock_send_raw_message.assert_called_once() + call_args = mock_send_raw_message.call_args[0][0] + assert isinstance(call_args, SessionUpdateEvent) + assert call_args.type == "session.update" + assert call_args.session.tracing == "auto" @pytest.mark.asyncio async def test_tracing_config_none_skips_session_update(self, model, mock_websocket): @@ -209,22 +203,18 @@ async def async_websocket(*args, **kwargs): await model._handle_ws_event(session_created_event) # Should send session.update with complete tracing config including metadata - from agents.realtime.model_inputs import RealtimeModelSendRawMessage - - expected_event = RealtimeModelSendRawMessage( - message={ - "type": "session.update", - "other_data": { - "session": { - "tracing": { - "workflow_name": "complex_workflow", - "metadata": complex_metadata, - } - } - }, - } + from openai.types.beta.realtime.session_update_event import ( + SessionTracingTracingConfiguration, + SessionUpdateEvent, ) - mock_send_raw_message.assert_called_once_with(expected_event) + + mock_send_raw_message.assert_called_once() + call_args = mock_send_raw_message.call_args[0][0] + assert isinstance(call_args, SessionUpdateEvent) + assert call_args.type == "session.update" + assert isinstance(call_args.session.tracing, SessionTracingTracingConfiguration) + assert call_args.session.tracing.workflow_name == "complex_workflow" + assert call_args.session.tracing.metadata == complex_metadata @pytest.mark.asyncio async def test_tracing_disabled_prevents_tracing(self, mock_websocket): diff --git a/uv.lock b/uv.lock index 7d0621d88..3bff55bf9 100644 --- a/uv.lock +++ b/uv.lock @@ -1461,7 +1461,7 @@ wheels = [ [[package]] name = "openai" -version = "1.93.1" +version = "1.96.0" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "anyio" }, @@ -1473,9 +1473,9 @@ dependencies = [ { name = "tqdm" }, { name = "typing-extensions" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/5e/a8/e4427729da048cb33bda15e70f09f7520bdf3577bafc546b135ecb36af7d/openai-1.93.1.tar.gz", hash = "sha256:11eb8932965d0f79ecc4cb38a60a0c4cef4bcd5fcf08b99fc9a399fa5f1e50ab", size = 487124, upload-time = "2025-07-07T16:40:38.389Z" } +sdist = { url = "https://files.pythonhosted.org/packages/47/7d/dbc636786f8bf029600abdbf89da74706bdde37c4fe1471ce78834a7ecaa/openai-1.96.0.tar.gz", hash = "sha256:36e34b5aa2c9c0380c1934fa16ba53b3b3c6462450b4c008b98859b9b6424cf7", size = 488898, upload-time = "2025-07-15T15:56:52.853Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/64/4f/875e5af1fb4e5ed4ea9e4a88f482d9ca2e48932105605b6c516e9a14de25/openai-1.93.1-py3-none-any.whl", hash = "sha256:a2c2946c4f21346d4902311a7440381fd8a33466ee7ca688133d1cad29a9357c", size = 755081, upload-time = "2025-07-07T16:40:36.585Z" }, + { url = "https://files.pythonhosted.org/packages/dc/63/e29319a52449b7ac4c3a13a1448a9fa326aa1263478eb4c4a9bcbbe95648/openai-1.96.0-py3-none-any.whl", hash = "sha256:4dee023520f8a70ddeaa9f4d6fb247e6dcafd79d2ebb415e3f85932d95aa64a0", size = 757092, upload-time = "2025-07-15T15:56:50.387Z" }, ] [[package]] @@ -1539,7 +1539,7 @@ requires-dist = [ { name = "litellm", marker = "extra == 'litellm'", specifier = ">=1.67.4.post1,<2" }, { name = "mcp", marker = "python_full_version >= '3.10'", specifier = ">=1.9.4,<2" }, { name = "numpy", marker = "python_full_version >= '3.10' and extra == 'voice'", specifier = ">=2.2.0,<3" }, - { name = "openai", specifier = ">=1.93.1,<2" }, + { name = "openai", specifier = ">=1.96.0,<2" }, { name = "pydantic", specifier = ">=2.10,<3" }, { name = "requests", specifier = ">=2.0,<3" }, { name = "types-requests", specifier = ">=2.0,<3" }, From a90e2b80c13379b64aee17e5cc81ce414d0dca92 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 15 Jul 2025 15:32:58 -0400 Subject: [PATCH 238/337] Realtime: introduce a demo without a UI --- examples/realtime/demo.py | 3 +- examples/realtime/no_ui_demo.py | 178 ++++++++++++++++++++++++++++++++ 2 files changed, 180 insertions(+), 1 deletion(-) create mode 100644 examples/realtime/no_ui_demo.py diff --git a/examples/realtime/demo.py b/examples/realtime/demo.py index 3db051963..e366212d2 100644 --- a/examples/realtime/demo.py +++ b/examples/realtime/demo.py @@ -103,7 +103,8 @@ async def _on_event(self, event: RealtimeSessionEvent) -> None: elif event.type == "history_added": pass elif event.type == "raw_model_event": - self.ui.log_message(f"Raw model event: {_truncate_str(str(event.data), 50)}") + if event.data.type != "error" and event.data.type != "exception": + self.ui.log_message(f"Raw model event: {event.data}") else: self.ui.log_message(f"Unknown event type: {event.type}") except Exception as e: diff --git a/examples/realtime/no_ui_demo.py b/examples/realtime/no_ui_demo.py new file mode 100644 index 000000000..ff53fea84 --- /dev/null +++ b/examples/realtime/no_ui_demo.py @@ -0,0 +1,178 @@ +import asyncio +import sys + +import numpy as np +import sounddevice as sd + +from agents import function_tool +from agents.realtime import RealtimeAgent, RealtimeRunner, RealtimeSession, RealtimeSessionEvent + +# Audio configuration +CHUNK_LENGTH_S = 0.05 # 50ms +SAMPLE_RATE = 24000 +FORMAT = np.int16 +CHANNELS = 1 + +# Set up logging for OpenAI agents SDK +# logging.basicConfig( +# level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s" +# ) +# logger.logger.setLevel(logging.ERROR) + + +@function_tool +def get_weather(city: str) -> str: + """Get the weather in a city.""" + return f"The weather in {city} is sunny." + + +agent = RealtimeAgent( + name="Assistant", + instructions="You always greet the user with 'Top of the morning to you'.", + tools=[get_weather], +) + + +def _truncate_str(s: str, max_length: int) -> str: + if len(s) > max_length: + return s[:max_length] + "..." + return s + + +class NoUIDemo: + def __init__(self) -> None: + self.session: RealtimeSession | None = None + self.audio_stream: sd.InputStream | None = None + self.audio_player: sd.OutputStream | None = None + self.recording = False + + async def run(self) -> None: + print("Connecting, may take a few seconds...") + + # Initialize audio player + self.audio_player = sd.OutputStream( + channels=CHANNELS, + samplerate=SAMPLE_RATE, + dtype=FORMAT, + ) + self.audio_player.start() + + try: + runner = RealtimeRunner(agent) + async with await runner.run() as session: + self.session = session + print("Connected. Starting audio recording...") + + # Start audio recording + await self.start_audio_recording() + print("Audio recording started. You can start speaking - expect lots of logs!") + + # Process session events + async for event in session: + await self._on_event(event) + + finally: + # Clean up audio player + if self.audio_player and self.audio_player.active: + self.audio_player.stop() + if self.audio_player: + self.audio_player.close() + + print("Session ended") + + async def start_audio_recording(self) -> None: + """Start recording audio from the microphone.""" + # Set up audio input stream + self.audio_stream = sd.InputStream( + channels=CHANNELS, + samplerate=SAMPLE_RATE, + dtype=FORMAT, + ) + + self.audio_stream.start() + self.recording = True + + # Start audio capture task + asyncio.create_task(self.capture_audio()) + + async def capture_audio(self) -> None: + """Capture audio from the microphone and send to the session.""" + if not self.audio_stream or not self.session: + return + + # Buffer size in samples + read_size = int(SAMPLE_RATE * CHUNK_LENGTH_S) + + try: + while self.recording: + # Check if there's enough data to read + if self.audio_stream.read_available < read_size: + await asyncio.sleep(0.01) + continue + + # Read audio data + data, _ = self.audio_stream.read(read_size) + + # Convert numpy array to bytes + audio_bytes = data.tobytes() + + # Send audio to session + await self.session.send_audio(audio_bytes) + + # Yield control back to event loop + await asyncio.sleep(0) + + except Exception as e: + print(f"Audio capture error: {e}") + finally: + if self.audio_stream and self.audio_stream.active: + self.audio_stream.stop() + if self.audio_stream: + self.audio_stream.close() + + async def _on_event(self, event: RealtimeSessionEvent) -> None: + """Handle session events.""" + try: + if event.type == "agent_start": + print(f"Agent started: {event.agent.name}") + elif event.type == "agent_end": + print(f"Agent ended: {event.agent.name}") + elif event.type == "handoff": + print(f"Handoff from {event.from_agent.name} to {event.to_agent.name}") + elif event.type == "tool_start": + print(f"Tool started: {event.tool.name}") + elif event.type == "tool_end": + print(f"Tool ended: {event.tool.name}; output: {event.output}") + elif event.type == "audio_end": + print("Audio ended") + elif event.type == "audio": + # Play audio through speakers + np_audio = np.frombuffer(event.audio.data, dtype=np.int16) + if self.audio_player: + try: + self.audio_player.write(np_audio) + except Exception as e: + print(f"Audio playback error: {e}") + elif event.type == "audio_interrupted": + print("Audio interrupted") + elif event.type == "error": + print(f"Error: {event.error}") + elif event.type == "history_updated": + pass # Skip these frequent events + elif event.type == "history_added": + pass # Skip these frequent events + elif event.type == "raw_model_event": + print(f"Raw model event: {_truncate_str(str(event.data), 50)}") + else: + print(f"Unknown event type: {event.type}") + except Exception as e: + print(f"Error processing event: {_truncate_str(str(e), 50)}") + + +if __name__ == "__main__": + demo = NoUIDemo() + try: + asyncio.run(demo.run()) + except KeyboardInterrupt: + print("\nExiting...") + sys.exit(0) From 5cb7cfae9cabb404cc9d18dcf4f044c78aa24160 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 15 Jul 2025 15:27:07 -0400 Subject: [PATCH 239/337] Realtime: use SDK types for all messages --- pyproject.toml | 2 +- src/agents/realtime/openai_realtime.py | 260 +++++++++------ tests/realtime/test_conversion_helpers.py | 375 ++++++++++++++++++++++ tests/realtime/test_tracing.py | 66 ++-- uv.lock | 8 +- 5 files changed, 571 insertions(+), 140 deletions(-) create mode 100644 tests/realtime/test_conversion_helpers.py diff --git a/pyproject.toml b/pyproject.toml index 0f9b70852..b654f0c3d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -7,7 +7,7 @@ requires-python = ">=3.9" license = "MIT" authors = [{ name = "OpenAI", email = "support@openai.com" }] dependencies = [ - "openai>=1.93.1, <2", + "openai>=1.96.0, <2", "pydantic>=2.10, <3", "griffe>=1.5.6, <2", "typing-extensions>=4.12.2, <5", diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 1c4a4de3c..f340872b5 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -10,14 +10,47 @@ import pydantic import websockets -from openai.types.beta.realtime.conversation_item import ConversationItem +from openai.types.beta.realtime.conversation_item import ( + ConversationItem, + ConversationItem as OpenAIConversationItem, +) +from openai.types.beta.realtime.conversation_item_content import ( + ConversationItemContent as OpenAIConversationItemContent, +) +from openai.types.beta.realtime.conversation_item_create_event import ( + ConversationItemCreateEvent as OpenAIConversationItemCreateEvent, +) +from openai.types.beta.realtime.conversation_item_retrieve_event import ( + ConversationItemRetrieveEvent as OpenAIConversationItemRetrieveEvent, +) +from openai.types.beta.realtime.conversation_item_truncate_event import ( + ConversationItemTruncateEvent as OpenAIConversationItemTruncateEvent, +) +from openai.types.beta.realtime.input_audio_buffer_append_event import ( + InputAudioBufferAppendEvent as OpenAIInputAudioBufferAppendEvent, +) +from openai.types.beta.realtime.input_audio_buffer_commit_event import ( + InputAudioBufferCommitEvent as OpenAIInputAudioBufferCommitEvent, +) +from openai.types.beta.realtime.realtime_client_event import ( + RealtimeClientEvent as OpenAIRealtimeClientEvent, +) from openai.types.beta.realtime.realtime_server_event import ( RealtimeServerEvent as OpenAIRealtimeServerEvent, ) from openai.types.beta.realtime.response_audio_delta_event import ResponseAudioDeltaEvent +from openai.types.beta.realtime.response_cancel_event import ( + ResponseCancelEvent as OpenAIResponseCancelEvent, +) +from openai.types.beta.realtime.response_create_event import ( + ResponseCreateEvent as OpenAIResponseCreateEvent, +) from openai.types.beta.realtime.session_update_event import ( Session as OpenAISessionObject, SessionTool as OpenAISessionTool, + SessionTracing as OpenAISessionTracing, + SessionTracingTracingConfiguration as OpenAISessionTracingConfiguration, + SessionUpdateEvent as OpenAISessionUpdateEvent, ) from pydantic import TypeAdapter from typing_extensions import assert_never @@ -135,12 +168,11 @@ async def _send_tracing_config( ) -> None: """Update tracing configuration via session.update event.""" if tracing_config is not None: + converted_tracing_config = _ConversionHelper.convert_tracing_config(tracing_config) await self._send_raw_message( - RealtimeModelSendRawMessage( - message={ - "type": "session.update", - "other_data": {"session": {"tracing": tracing_config}}, - } + OpenAISessionUpdateEvent( + session=OpenAISessionObject(tracing=converted_tracing_config), + type="session.update", ) ) @@ -199,7 +231,11 @@ async def _listen_for_messages(self): async def send_event(self, event: RealtimeModelSendEvent) -> None: """Send an event to the model.""" if isinstance(event, RealtimeModelSendRawMessage): - await self._send_raw_message(event) + converted = _ConversionHelper.try_convert_raw_message(event) + if converted is not None: + await self._send_raw_message(converted) + else: + logger.error(f"Failed to convert raw message: {event}") elif isinstance(event, RealtimeModelSendUserInput): await self._send_user_input(event) elif isinstance(event, RealtimeModelSendAudio): @@ -214,73 +250,28 @@ async def send_event(self, event: RealtimeModelSendEvent) -> None: assert_never(event) raise ValueError(f"Unknown event type: {type(event)}") - async def _send_raw_message(self, event: RealtimeModelSendRawMessage) -> None: + async def _send_raw_message(self, event: OpenAIRealtimeClientEvent) -> None: """Send a raw message to the model.""" assert self._websocket is not None, "Not connected" - converted_event = { - "type": event.message["type"], - } - - converted_event.update(event.message.get("other_data", {})) - - await self._websocket.send(json.dumps(converted_event)) + await self._websocket.send(event.model_dump_json(exclude_none=True, exclude_unset=True)) async def _send_user_input(self, event: RealtimeModelSendUserInput) -> None: - message = ( - event.user_input - if isinstance(event.user_input, dict) - else { - "type": "message", - "role": "user", - "content": [{"type": "input_text", "text": event.user_input}], - } - ) - other_data = { - "item": message, - } - - await self._send_raw_message( - RealtimeModelSendRawMessage( - message={"type": "conversation.item.create", "other_data": other_data} - ) - ) - await self._send_raw_message( - RealtimeModelSendRawMessage(message={"type": "response.create"}) - ) + converted = _ConversionHelper.convert_user_input_to_item_create(event) + await self._send_raw_message(converted) + await self._send_raw_message(OpenAIResponseCreateEvent(type="response.create")) async def _send_audio(self, event: RealtimeModelSendAudio) -> None: - base64_audio = base64.b64encode(event.audio).decode("utf-8") - await self._send_raw_message( - RealtimeModelSendRawMessage( - message={ - "type": "input_audio_buffer.append", - "other_data": { - "audio": base64_audio, - }, - } - ) - ) + converted = _ConversionHelper.convert_audio_to_input_audio_buffer_append(event) + await self._send_raw_message(converted) if event.commit: await self._send_raw_message( - RealtimeModelSendRawMessage(message={"type": "input_audio_buffer.commit"}) + OpenAIInputAudioBufferCommitEvent(type="input_audio_buffer.commit") ) async def _send_tool_output(self, event: RealtimeModelSendToolOutput) -> None: - await self._send_raw_message( - RealtimeModelSendRawMessage( - message={ - "type": "conversation.item.create", - "other_data": { - "item": { - "type": "function_call_output", - "output": event.output, - "call_id": event.tool_call.id, - }, - }, - } - ) - ) + converted = _ConversionHelper.convert_tool_output(event) + await self._send_raw_message(converted) tool_item = RealtimeToolCallItem( item_id=event.tool_call.id or "", @@ -294,9 +285,7 @@ async def _send_tool_output(self, event: RealtimeModelSendToolOutput) -> None: await self._emit_event(RealtimeModelItemUpdatedEvent(item=tool_item)) if event.start_response: - await self._send_raw_message( - RealtimeModelSendRawMessage(message={"type": "response.create"}) - ) + await self._send_raw_message(OpenAIResponseCreateEvent(type="response.create")) async def _send_interrupt(self, event: RealtimeModelSendInterrupt) -> None: if not self._current_item_id or not self._audio_start_time: @@ -307,18 +296,12 @@ async def _send_interrupt(self, event: RealtimeModelSendInterrupt) -> None: elapsed_time_ms = (datetime.now() - self._audio_start_time).total_seconds() * 1000 if elapsed_time_ms > 0 and elapsed_time_ms < self._audio_length_ms: await self._emit_event(RealtimeModelAudioInterruptedEvent()) - await self._send_raw_message( - RealtimeModelSendRawMessage( - message={ - "type": "conversation.item.truncate", - "other_data": { - "item_id": self._current_item_id, - "content_index": self._current_audio_content_index, - "audio_end_ms": elapsed_time_ms, - }, - } - ) + converted = _ConversionHelper.convert_interrupt( + self._current_item_id, + self._current_audio_content_index or 0, + int(elapsed_time_ms), ) + await self._send_raw_message(converted) self._current_item_id = None self._audio_start_time = None @@ -365,7 +348,7 @@ async def _handle_output_item(self, item: ConversationItem) -> None: await self._emit_event(RealtimeModelItemUpdatedEvent(item=tool_call)) await self._emit_event( RealtimeModelToolCallEvent( - call_id=item.id or "", + call_id=item.call_id or "", name=item.name or "", arguments=item.arguments or "", id=item.id or "", @@ -404,9 +387,7 @@ async def close(self) -> None: async def _cancel_response(self) -> None: if self._ongoing_response: - await self._send_raw_message( - RealtimeModelSendRawMessage(message={"type": "response.cancel"}) - ) + await self._send_raw_message(OpenAIResponseCancelEvent(type="response.cancel")) self._ongoing_response = False async def _handle_ws_event(self, event: dict[str, Any]): @@ -466,16 +447,13 @@ async def _handle_ws_event(self, event: dict[str, Any]): parsed.type == "conversation.item.input_audio_transcription.completed" or parsed.type == "conversation.item.truncated" ): - await self._send_raw_message( - RealtimeModelSendRawMessage( - message={ - "type": "conversation.item.retrieve", - "other_data": { - "item_id": self._current_item_id, - }, - } + if self._current_item_id: + await self._send_raw_message( + OpenAIConversationItemRetrieveEvent( + type="conversation.item.retrieve", + item_id=self._current_item_id, + ) ) - ) if parsed.type == "conversation.item.input_audio_transcription.completed": await self._emit_event( RealtimeModelInputAudioTranscriptionCompletedEvent( @@ -504,14 +482,7 @@ async def _handle_ws_event(self, event: dict[str, Any]): async def _update_session_config(self, model_settings: RealtimeSessionModelSettings) -> None: session_config = self._get_session_config(model_settings) await self._send_raw_message( - RealtimeModelSendRawMessage( - message={ - "type": "session.update", - "other_data": { - "session": session_config.model_dump(exclude_unset=True, exclude_none=True) - }, - } - ) + OpenAISessionUpdateEvent(session=session_config, type="session.update") ) def _get_session_config( @@ -582,3 +553,98 @@ def conversation_item_to_realtime_message_item( "status": "in_progress", }, ) + + @classmethod + def try_convert_raw_message( + cls, message: RealtimeModelSendRawMessage + ) -> OpenAIRealtimeClientEvent | None: + try: + data = {} + data["type"] = message.message["type"] + data.update(message.message.get("other_data", {})) + return TypeAdapter(OpenAIRealtimeClientEvent).validate_python(data) + except Exception: + return None + + @classmethod + def convert_tracing_config( + cls, tracing_config: RealtimeModelTracingConfig | Literal["auto"] | None + ) -> OpenAISessionTracing | None: + if tracing_config is None: + return None + elif tracing_config == "auto": + return "auto" + return OpenAISessionTracingConfiguration( + group_id=tracing_config.get("group_id"), + metadata=tracing_config.get("metadata"), + workflow_name=tracing_config.get("workflow_name"), + ) + + @classmethod + def convert_user_input_to_conversation_item( + cls, event: RealtimeModelSendUserInput + ) -> OpenAIConversationItem: + user_input = event.user_input + + if isinstance(user_input, dict): + return OpenAIConversationItem( + type="message", + role="user", + content=[ + OpenAIConversationItemContent( + type="input_text", + text=item.get("text"), + ) + for item in user_input.get("content", []) + ], + ) + else: + return OpenAIConversationItem( + type="message", + role="user", + content=[OpenAIConversationItemContent(type="input_text", text=user_input)], + ) + + @classmethod + def convert_user_input_to_item_create( + cls, event: RealtimeModelSendUserInput + ) -> OpenAIRealtimeClientEvent: + return OpenAIConversationItemCreateEvent( + type="conversation.item.create", + item=cls.convert_user_input_to_conversation_item(event), + ) + + @classmethod + def convert_audio_to_input_audio_buffer_append( + cls, event: RealtimeModelSendAudio + ) -> OpenAIRealtimeClientEvent: + base64_audio = base64.b64encode(event.audio).decode("utf-8") + return OpenAIInputAudioBufferAppendEvent( + type="input_audio_buffer.append", + audio=base64_audio, + ) + + @classmethod + def convert_tool_output(cls, event: RealtimeModelSendToolOutput) -> OpenAIRealtimeClientEvent: + return OpenAIConversationItemCreateEvent( + type="conversation.item.create", + item=OpenAIConversationItem( + type="function_call_output", + output=event.output, + call_id=event.tool_call.call_id, + ), + ) + + @classmethod + def convert_interrupt( + cls, + current_item_id: str, + current_audio_content_index: int, + elapsed_time_ms: int, + ) -> OpenAIRealtimeClientEvent: + return OpenAIConversationItemTruncateEvent( + type="conversation.item.truncate", + item_id=current_item_id, + content_index=current_audio_content_index, + audio_end_ms=elapsed_time_ms, + ) diff --git a/tests/realtime/test_conversion_helpers.py b/tests/realtime/test_conversion_helpers.py new file mode 100644 index 000000000..2264407c9 --- /dev/null +++ b/tests/realtime/test_conversion_helpers.py @@ -0,0 +1,375 @@ +import base64 +from unittest.mock import Mock + +from openai.types.beta.realtime.conversation_item import ConversationItem +from openai.types.beta.realtime.conversation_item_create_event import ConversationItemCreateEvent +from openai.types.beta.realtime.conversation_item_truncate_event import ( + ConversationItemTruncateEvent, +) +from openai.types.beta.realtime.input_audio_buffer_append_event import InputAudioBufferAppendEvent +from openai.types.beta.realtime.session_update_event import ( + SessionTracingTracingConfiguration, +) + +from agents.realtime.config import RealtimeModelTracingConfig +from agents.realtime.model_inputs import ( + RealtimeModelSendAudio, + RealtimeModelSendRawMessage, + RealtimeModelSendToolOutput, + RealtimeModelSendUserInput, + RealtimeModelUserInputMessage, +) +from agents.realtime.openai_realtime import _ConversionHelper + + +class TestConversionHelperTryConvertRawMessage: + """Test suite for _ConversionHelper.try_convert_raw_message method.""" + + def test_try_convert_raw_message_valid_session_update(self): + """Test converting a valid session.update raw message.""" + raw_message = RealtimeModelSendRawMessage( + message={ + "type": "session.update", + "other_data": { + "session": { + "modalities": ["text", "audio"], + "voice": "ash", + } + }, + } + ) + + result = _ConversionHelper.try_convert_raw_message(raw_message) + + assert result is not None + assert result.type == "session.update" + + def test_try_convert_raw_message_valid_response_create(self): + """Test converting a valid response.create raw message.""" + raw_message = RealtimeModelSendRawMessage( + message={ + "type": "response.create", + "other_data": {}, + } + ) + + result = _ConversionHelper.try_convert_raw_message(raw_message) + + assert result is not None + assert result.type == "response.create" + + def test_try_convert_raw_message_invalid_type(self): + """Test converting an invalid message type returns None.""" + raw_message = RealtimeModelSendRawMessage( + message={ + "type": "invalid.message.type", + "other_data": {}, + } + ) + + result = _ConversionHelper.try_convert_raw_message(raw_message) + + assert result is None + + def test_try_convert_raw_message_malformed_data(self): + """Test converting malformed message data returns None.""" + raw_message = RealtimeModelSendRawMessage( + message={ + "type": "session.update", + "other_data": { + "session": "invalid_session_data" # Should be dict + }, + } + ) + + result = _ConversionHelper.try_convert_raw_message(raw_message) + + assert result is None + + def test_try_convert_raw_message_missing_type(self): + """Test converting message without type returns None.""" + raw_message = RealtimeModelSendRawMessage( + message={ + "type": "missing.type.test", + "other_data": {"some": "data"}, + } + ) + + result = _ConversionHelper.try_convert_raw_message(raw_message) + + assert result is None + + +class TestConversionHelperTracingConfig: + """Test suite for _ConversionHelper.convert_tracing_config method.""" + + def test_convert_tracing_config_none(self): + """Test converting None tracing config.""" + result = _ConversionHelper.convert_tracing_config(None) + assert result is None + + def test_convert_tracing_config_auto(self): + """Test converting 'auto' tracing config.""" + result = _ConversionHelper.convert_tracing_config("auto") + assert result == "auto" + + def test_convert_tracing_config_dict_full(self): + """Test converting full tracing config dict.""" + tracing_config: RealtimeModelTracingConfig = { + "group_id": "test-group", + "metadata": {"env": "test"}, + "workflow_name": "test-workflow", + } + + result = _ConversionHelper.convert_tracing_config(tracing_config) + + assert isinstance(result, SessionTracingTracingConfiguration) + assert result.group_id == "test-group" + assert result.metadata == {"env": "test"} + assert result.workflow_name == "test-workflow" + + def test_convert_tracing_config_dict_partial(self): + """Test converting partial tracing config dict.""" + tracing_config: RealtimeModelTracingConfig = { + "group_id": "test-group", + } + + result = _ConversionHelper.convert_tracing_config(tracing_config) + + assert isinstance(result, SessionTracingTracingConfiguration) + assert result.group_id == "test-group" + assert result.metadata is None + assert result.workflow_name is None + + def test_convert_tracing_config_empty_dict(self): + """Test converting empty tracing config dict.""" + tracing_config: RealtimeModelTracingConfig = {} + + result = _ConversionHelper.convert_tracing_config(tracing_config) + + assert isinstance(result, SessionTracingTracingConfiguration) + assert result.group_id is None + assert result.metadata is None + assert result.workflow_name is None + + +class TestConversionHelperUserInput: + """Test suite for _ConversionHelper user input conversion methods.""" + + def test_convert_user_input_to_conversation_item_string(self): + """Test converting string user input to conversation item.""" + event = RealtimeModelSendUserInput(user_input="Hello, world!") + + result = _ConversionHelper.convert_user_input_to_conversation_item(event) + + assert isinstance(result, ConversationItem) + assert result.type == "message" + assert result.role == "user" + assert result.content is not None + assert len(result.content) == 1 + assert result.content[0].type == "input_text" + assert result.content[0].text == "Hello, world!" + + def test_convert_user_input_to_conversation_item_dict(self): + """Test converting dict user input to conversation item.""" + user_input_dict: RealtimeModelUserInputMessage = { + "type": "message", + "role": "user", + "content": [ + {"type": "input_text", "text": "Hello"}, + {"type": "input_text", "text": "World"}, + ] + } + event = RealtimeModelSendUserInput(user_input=user_input_dict) + + result = _ConversionHelper.convert_user_input_to_conversation_item(event) + + assert isinstance(result, ConversationItem) + assert result.type == "message" + assert result.role == "user" + assert result.content is not None + assert len(result.content) == 2 + assert result.content[0].type == "input_text" + assert result.content[0].text == "Hello" + assert result.content[1].type == "input_text" + assert result.content[1].text == "World" + + def test_convert_user_input_to_conversation_item_dict_empty_content(self): + """Test converting dict user input with empty content.""" + user_input_dict: RealtimeModelUserInputMessage = { + "type": "message", + "role": "user", + "content": [] + } + event = RealtimeModelSendUserInput(user_input=user_input_dict) + + result = _ConversionHelper.convert_user_input_to_conversation_item(event) + + assert isinstance(result, ConversationItem) + assert result.type == "message" + assert result.role == "user" + assert result.content is not None + assert len(result.content) == 0 + + def test_convert_user_input_to_item_create(self): + """Test converting user input to item create event.""" + event = RealtimeModelSendUserInput(user_input="Test message") + + result = _ConversionHelper.convert_user_input_to_item_create(event) + + assert isinstance(result, ConversationItemCreateEvent) + assert result.type == "conversation.item.create" + assert isinstance(result.item, ConversationItem) + assert result.item.type == "message" + assert result.item.role == "user" + + +class TestConversionHelperAudio: + """Test suite for _ConversionHelper.convert_audio_to_input_audio_buffer_append.""" + + def test_convert_audio_to_input_audio_buffer_append(self): + """Test converting audio data to input audio buffer append event.""" + audio_data = b"test audio data" + event = RealtimeModelSendAudio(audio=audio_data, commit=False) + + result = _ConversionHelper.convert_audio_to_input_audio_buffer_append(event) + + assert isinstance(result, InputAudioBufferAppendEvent) + assert result.type == "input_audio_buffer.append" + + # Verify base64 encoding + expected_b64 = base64.b64encode(audio_data).decode("utf-8") + assert result.audio == expected_b64 + + def test_convert_audio_to_input_audio_buffer_append_empty(self): + """Test converting empty audio data.""" + audio_data = b"" + event = RealtimeModelSendAudio(audio=audio_data, commit=True) + + result = _ConversionHelper.convert_audio_to_input_audio_buffer_append(event) + + assert isinstance(result, InputAudioBufferAppendEvent) + assert result.type == "input_audio_buffer.append" + assert result.audio == "" + + def test_convert_audio_to_input_audio_buffer_append_large_data(self): + """Test converting large audio data.""" + audio_data = b"x" * 10000 # Large audio buffer + event = RealtimeModelSendAudio(audio=audio_data, commit=False) + + result = _ConversionHelper.convert_audio_to_input_audio_buffer_append(event) + + assert isinstance(result, InputAudioBufferAppendEvent) + assert result.type == "input_audio_buffer.append" + + # Verify it can be decoded back + decoded = base64.b64decode(result.audio) + assert decoded == audio_data + + +class TestConversionHelperToolOutput: + """Test suite for _ConversionHelper.convert_tool_output method.""" + + def test_convert_tool_output(self): + """Test converting tool output to conversation item create event.""" + mock_tool_call = Mock() + mock_tool_call.call_id = "call_123" + + event = RealtimeModelSendToolOutput( + tool_call=mock_tool_call, + output="Function executed successfully", + start_response=False, + ) + + result = _ConversionHelper.convert_tool_output(event) + + assert isinstance(result, ConversationItemCreateEvent) + assert result.type == "conversation.item.create" + assert isinstance(result.item, ConversationItem) + assert result.item.type == "function_call_output" + assert result.item.output == "Function executed successfully" + assert result.item.call_id == "call_123" + + def test_convert_tool_output_no_call_id(self): + """Test converting tool output with None call_id.""" + mock_tool_call = Mock() + mock_tool_call.call_id = None + + event = RealtimeModelSendToolOutput( + tool_call=mock_tool_call, + output="Output without call ID", + start_response=False, + ) + + result = _ConversionHelper.convert_tool_output(event) + + assert isinstance(result, ConversationItemCreateEvent) + assert result.type == "conversation.item.create" + assert result.item.call_id is None + + def test_convert_tool_output_empty_output(self): + """Test converting tool output with empty output.""" + mock_tool_call = Mock() + mock_tool_call.call_id = "call_456" + + event = RealtimeModelSendToolOutput( + tool_call=mock_tool_call, + output="", + start_response=True, + ) + + result = _ConversionHelper.convert_tool_output(event) + + assert isinstance(result, ConversationItemCreateEvent) + assert result.item.output == "" + assert result.item.call_id == "call_456" + + +class TestConversionHelperInterrupt: + """Test suite for _ConversionHelper.convert_interrupt method.""" + + def test_convert_interrupt(self): + """Test converting interrupt parameters to conversation item truncate event.""" + current_item_id = "item_789" + current_audio_content_index = 2 + elapsed_time_ms = 1500 + + result = _ConversionHelper.convert_interrupt( + current_item_id, current_audio_content_index, elapsed_time_ms + ) + + assert isinstance(result, ConversationItemTruncateEvent) + assert result.type == "conversation.item.truncate" + assert result.item_id == "item_789" + assert result.content_index == 2 + assert result.audio_end_ms == 1500 + + def test_convert_interrupt_zero_time(self): + """Test converting interrupt with zero elapsed time.""" + result = _ConversionHelper.convert_interrupt("item_1", 0, 0) + + assert isinstance(result, ConversationItemTruncateEvent) + assert result.type == "conversation.item.truncate" + assert result.item_id == "item_1" + assert result.content_index == 0 + assert result.audio_end_ms == 0 + + def test_convert_interrupt_large_values(self): + """Test converting interrupt with large values.""" + result = _ConversionHelper.convert_interrupt("item_xyz", 99, 999999) + + assert isinstance(result, ConversationItemTruncateEvent) + assert result.type == "conversation.item.truncate" + assert result.item_id == "item_xyz" + assert result.content_index == 99 + assert result.audio_end_ms == 999999 + + def test_convert_interrupt_empty_item_id(self): + """Test converting interrupt with empty item ID.""" + result = _ConversionHelper.convert_interrupt("", 1, 100) + + assert isinstance(result, ConversationItemTruncateEvent) + assert result.type == "conversation.item.truncate" + assert result.item_id == "" + assert result.content_index == 1 + assert result.audio_end_ms == 100 diff --git a/tests/realtime/test_tracing.py b/tests/realtime/test_tracing.py index 4cff46c49..85da63897 100644 --- a/tests/realtime/test_tracing.py +++ b/tests/realtime/test_tracing.py @@ -99,22 +99,18 @@ async def async_websocket(*args, **kwargs): await model._handle_ws_event(session_created_event) # Should send session.update with tracing config - from agents.realtime.model_inputs import RealtimeModelSendRawMessage - - expected_event = RealtimeModelSendRawMessage( - message={ - "type": "session.update", - "other_data": { - "session": { - "tracing": { - "workflow_name": "test_workflow", - "group_id": "group_123", - } - } - }, - } + from openai.types.beta.realtime.session_update_event import ( + SessionTracingTracingConfiguration, + SessionUpdateEvent, ) - mock_send_raw_message.assert_called_once_with(expected_event) + + mock_send_raw_message.assert_called_once() + call_args = mock_send_raw_message.call_args[0][0] + assert isinstance(call_args, SessionUpdateEvent) + assert call_args.type == "session.update" + assert isinstance(call_args.session.tracing, SessionTracingTracingConfiguration) + assert call_args.session.tracing.workflow_name == "test_workflow" + assert call_args.session.tracing.group_id == "group_123" @pytest.mark.asyncio async def test_send_tracing_config_auto_mode(self, model, mock_websocket): @@ -144,15 +140,13 @@ async def async_websocket(*args, **kwargs): await model._handle_ws_event(session_created_event) # Should send session.update with "auto" - from agents.realtime.model_inputs import RealtimeModelSendRawMessage + from openai.types.beta.realtime.session_update_event import SessionUpdateEvent - expected_event = RealtimeModelSendRawMessage( - message={ - "type": "session.update", - "other_data": {"session": {"tracing": "auto"}}, - } - ) - mock_send_raw_message.assert_called_once_with(expected_event) + mock_send_raw_message.assert_called_once() + call_args = mock_send_raw_message.call_args[0][0] + assert isinstance(call_args, SessionUpdateEvent) + assert call_args.type == "session.update" + assert call_args.session.tracing == "auto" @pytest.mark.asyncio async def test_tracing_config_none_skips_session_update(self, model, mock_websocket): @@ -209,22 +203,18 @@ async def async_websocket(*args, **kwargs): await model._handle_ws_event(session_created_event) # Should send session.update with complete tracing config including metadata - from agents.realtime.model_inputs import RealtimeModelSendRawMessage - - expected_event = RealtimeModelSendRawMessage( - message={ - "type": "session.update", - "other_data": { - "session": { - "tracing": { - "workflow_name": "complex_workflow", - "metadata": complex_metadata, - } - } - }, - } + from openai.types.beta.realtime.session_update_event import ( + SessionTracingTracingConfiguration, + SessionUpdateEvent, ) - mock_send_raw_message.assert_called_once_with(expected_event) + + mock_send_raw_message.assert_called_once() + call_args = mock_send_raw_message.call_args[0][0] + assert isinstance(call_args, SessionUpdateEvent) + assert call_args.type == "session.update" + assert isinstance(call_args.session.tracing, SessionTracingTracingConfiguration) + assert call_args.session.tracing.workflow_name == "complex_workflow" + assert call_args.session.tracing.metadata == complex_metadata @pytest.mark.asyncio async def test_tracing_disabled_prevents_tracing(self, mock_websocket): diff --git a/uv.lock b/uv.lock index 7d0621d88..3bff55bf9 100644 --- a/uv.lock +++ b/uv.lock @@ -1461,7 +1461,7 @@ wheels = [ [[package]] name = "openai" -version = "1.93.1" +version = "1.96.0" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "anyio" }, @@ -1473,9 +1473,9 @@ dependencies = [ { name = "tqdm" }, { name = "typing-extensions" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/5e/a8/e4427729da048cb33bda15e70f09f7520bdf3577bafc546b135ecb36af7d/openai-1.93.1.tar.gz", hash = "sha256:11eb8932965d0f79ecc4cb38a60a0c4cef4bcd5fcf08b99fc9a399fa5f1e50ab", size = 487124, upload-time = "2025-07-07T16:40:38.389Z" } +sdist = { url = "https://files.pythonhosted.org/packages/47/7d/dbc636786f8bf029600abdbf89da74706bdde37c4fe1471ce78834a7ecaa/openai-1.96.0.tar.gz", hash = "sha256:36e34b5aa2c9c0380c1934fa16ba53b3b3c6462450b4c008b98859b9b6424cf7", size = 488898, upload-time = "2025-07-15T15:56:52.853Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/64/4f/875e5af1fb4e5ed4ea9e4a88f482d9ca2e48932105605b6c516e9a14de25/openai-1.93.1-py3-none-any.whl", hash = "sha256:a2c2946c4f21346d4902311a7440381fd8a33466ee7ca688133d1cad29a9357c", size = 755081, upload-time = "2025-07-07T16:40:36.585Z" }, + { url = "https://files.pythonhosted.org/packages/dc/63/e29319a52449b7ac4c3a13a1448a9fa326aa1263478eb4c4a9bcbbe95648/openai-1.96.0-py3-none-any.whl", hash = "sha256:4dee023520f8a70ddeaa9f4d6fb247e6dcafd79d2ebb415e3f85932d95aa64a0", size = 757092, upload-time = "2025-07-15T15:56:50.387Z" }, ] [[package]] @@ -1539,7 +1539,7 @@ requires-dist = [ { name = "litellm", marker = "extra == 'litellm'", specifier = ">=1.67.4.post1,<2" }, { name = "mcp", marker = "python_full_version >= '3.10'", specifier = ">=1.9.4,<2" }, { name = "numpy", marker = "python_full_version >= '3.10' and extra == 'voice'", specifier = ">=2.2.0,<3" }, - { name = "openai", specifier = ">=1.93.1,<2" }, + { name = "openai", specifier = ">=1.96.0,<2" }, { name = "pydantic", specifier = ">=2.10,<3" }, { name = "requests", specifier = ">=2.0,<3" }, { name = "types-requests", specifier = ">=2.0,<3" }, From 94980077c4b36d9174654144b0935c25e77267d2 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 15 Jul 2025 15:32:58 -0400 Subject: [PATCH 240/337] Realtime: introduce a demo without a UI --- examples/realtime/demo.py | 3 +- examples/realtime/no_ui_demo.py | 178 ++++++++++++++++++++++++++++++++ 2 files changed, 180 insertions(+), 1 deletion(-) create mode 100644 examples/realtime/no_ui_demo.py diff --git a/examples/realtime/demo.py b/examples/realtime/demo.py index 3db051963..e366212d2 100644 --- a/examples/realtime/demo.py +++ b/examples/realtime/demo.py @@ -103,7 +103,8 @@ async def _on_event(self, event: RealtimeSessionEvent) -> None: elif event.type == "history_added": pass elif event.type == "raw_model_event": - self.ui.log_message(f"Raw model event: {_truncate_str(str(event.data), 50)}") + if event.data.type != "error" and event.data.type != "exception": + self.ui.log_message(f"Raw model event: {event.data}") else: self.ui.log_message(f"Unknown event type: {event.type}") except Exception as e: diff --git a/examples/realtime/no_ui_demo.py b/examples/realtime/no_ui_demo.py new file mode 100644 index 000000000..ff53fea84 --- /dev/null +++ b/examples/realtime/no_ui_demo.py @@ -0,0 +1,178 @@ +import asyncio +import sys + +import numpy as np +import sounddevice as sd + +from agents import function_tool +from agents.realtime import RealtimeAgent, RealtimeRunner, RealtimeSession, RealtimeSessionEvent + +# Audio configuration +CHUNK_LENGTH_S = 0.05 # 50ms +SAMPLE_RATE = 24000 +FORMAT = np.int16 +CHANNELS = 1 + +# Set up logging for OpenAI agents SDK +# logging.basicConfig( +# level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s" +# ) +# logger.logger.setLevel(logging.ERROR) + + +@function_tool +def get_weather(city: str) -> str: + """Get the weather in a city.""" + return f"The weather in {city} is sunny." + + +agent = RealtimeAgent( + name="Assistant", + instructions="You always greet the user with 'Top of the morning to you'.", + tools=[get_weather], +) + + +def _truncate_str(s: str, max_length: int) -> str: + if len(s) > max_length: + return s[:max_length] + "..." + return s + + +class NoUIDemo: + def __init__(self) -> None: + self.session: RealtimeSession | None = None + self.audio_stream: sd.InputStream | None = None + self.audio_player: sd.OutputStream | None = None + self.recording = False + + async def run(self) -> None: + print("Connecting, may take a few seconds...") + + # Initialize audio player + self.audio_player = sd.OutputStream( + channels=CHANNELS, + samplerate=SAMPLE_RATE, + dtype=FORMAT, + ) + self.audio_player.start() + + try: + runner = RealtimeRunner(agent) + async with await runner.run() as session: + self.session = session + print("Connected. Starting audio recording...") + + # Start audio recording + await self.start_audio_recording() + print("Audio recording started. You can start speaking - expect lots of logs!") + + # Process session events + async for event in session: + await self._on_event(event) + + finally: + # Clean up audio player + if self.audio_player and self.audio_player.active: + self.audio_player.stop() + if self.audio_player: + self.audio_player.close() + + print("Session ended") + + async def start_audio_recording(self) -> None: + """Start recording audio from the microphone.""" + # Set up audio input stream + self.audio_stream = sd.InputStream( + channels=CHANNELS, + samplerate=SAMPLE_RATE, + dtype=FORMAT, + ) + + self.audio_stream.start() + self.recording = True + + # Start audio capture task + asyncio.create_task(self.capture_audio()) + + async def capture_audio(self) -> None: + """Capture audio from the microphone and send to the session.""" + if not self.audio_stream or not self.session: + return + + # Buffer size in samples + read_size = int(SAMPLE_RATE * CHUNK_LENGTH_S) + + try: + while self.recording: + # Check if there's enough data to read + if self.audio_stream.read_available < read_size: + await asyncio.sleep(0.01) + continue + + # Read audio data + data, _ = self.audio_stream.read(read_size) + + # Convert numpy array to bytes + audio_bytes = data.tobytes() + + # Send audio to session + await self.session.send_audio(audio_bytes) + + # Yield control back to event loop + await asyncio.sleep(0) + + except Exception as e: + print(f"Audio capture error: {e}") + finally: + if self.audio_stream and self.audio_stream.active: + self.audio_stream.stop() + if self.audio_stream: + self.audio_stream.close() + + async def _on_event(self, event: RealtimeSessionEvent) -> None: + """Handle session events.""" + try: + if event.type == "agent_start": + print(f"Agent started: {event.agent.name}") + elif event.type == "agent_end": + print(f"Agent ended: {event.agent.name}") + elif event.type == "handoff": + print(f"Handoff from {event.from_agent.name} to {event.to_agent.name}") + elif event.type == "tool_start": + print(f"Tool started: {event.tool.name}") + elif event.type == "tool_end": + print(f"Tool ended: {event.tool.name}; output: {event.output}") + elif event.type == "audio_end": + print("Audio ended") + elif event.type == "audio": + # Play audio through speakers + np_audio = np.frombuffer(event.audio.data, dtype=np.int16) + if self.audio_player: + try: + self.audio_player.write(np_audio) + except Exception as e: + print(f"Audio playback error: {e}") + elif event.type == "audio_interrupted": + print("Audio interrupted") + elif event.type == "error": + print(f"Error: {event.error}") + elif event.type == "history_updated": + pass # Skip these frequent events + elif event.type == "history_added": + pass # Skip these frequent events + elif event.type == "raw_model_event": + print(f"Raw model event: {_truncate_str(str(event.data), 50)}") + else: + print(f"Unknown event type: {event.type}") + except Exception as e: + print(f"Error processing event: {_truncate_str(str(e), 50)}") + + +if __name__ == "__main__": + demo = NoUIDemo() + try: + asyncio.run(demo.run()) + except KeyboardInterrupt: + print("\nExiting...") + sys.exit(0) From 8aa9cd371305cf050b6bbf00389c5739276e7408 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 15 Jul 2025 15:27:07 -0400 Subject: [PATCH 241/337] Realtime: use SDK types for all messages --- pyproject.toml | 2 +- src/agents/realtime/items.py | 1 + src/agents/realtime/openai_realtime.py | 262 +++++++++------ tests/realtime/test_conversion_helpers.py | 375 ++++++++++++++++++++++ tests/realtime/test_openai_realtime.py | 1 + tests/realtime/test_tracing.py | 66 ++-- uv.lock | 8 +- 7 files changed, 575 insertions(+), 140 deletions(-) create mode 100644 tests/realtime/test_conversion_helpers.py diff --git a/pyproject.toml b/pyproject.toml index 0f9b70852..b654f0c3d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -7,7 +7,7 @@ requires-python = ">=3.9" license = "MIT" authors = [{ name = "OpenAI", email = "support@openai.com" }] dependencies = [ - "openai>=1.93.1, <2", + "openai>=1.96.0, <2", "pydantic>=2.10, <3", "griffe>=1.5.6, <2", "typing-extensions>=4.12.2, <5", diff --git a/src/agents/realtime/items.py b/src/agents/realtime/items.py index a835e7a88..4d618f3a9 100644 --- a/src/agents/realtime/items.py +++ b/src/agents/realtime/items.py @@ -73,6 +73,7 @@ class AssistantMessageItem(BaseModel): class RealtimeToolCallItem(BaseModel): item_id: str previous_item_id: str | None = None + call_id: str | None type: Literal["function_call"] = "function_call" status: Literal["in_progress", "completed"] arguments: str diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 1c4a4de3c..129d89c49 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -10,14 +10,47 @@ import pydantic import websockets -from openai.types.beta.realtime.conversation_item import ConversationItem +from openai.types.beta.realtime.conversation_item import ( + ConversationItem, + ConversationItem as OpenAIConversationItem, +) +from openai.types.beta.realtime.conversation_item_content import ( + ConversationItemContent as OpenAIConversationItemContent, +) +from openai.types.beta.realtime.conversation_item_create_event import ( + ConversationItemCreateEvent as OpenAIConversationItemCreateEvent, +) +from openai.types.beta.realtime.conversation_item_retrieve_event import ( + ConversationItemRetrieveEvent as OpenAIConversationItemRetrieveEvent, +) +from openai.types.beta.realtime.conversation_item_truncate_event import ( + ConversationItemTruncateEvent as OpenAIConversationItemTruncateEvent, +) +from openai.types.beta.realtime.input_audio_buffer_append_event import ( + InputAudioBufferAppendEvent as OpenAIInputAudioBufferAppendEvent, +) +from openai.types.beta.realtime.input_audio_buffer_commit_event import ( + InputAudioBufferCommitEvent as OpenAIInputAudioBufferCommitEvent, +) +from openai.types.beta.realtime.realtime_client_event import ( + RealtimeClientEvent as OpenAIRealtimeClientEvent, +) from openai.types.beta.realtime.realtime_server_event import ( RealtimeServerEvent as OpenAIRealtimeServerEvent, ) from openai.types.beta.realtime.response_audio_delta_event import ResponseAudioDeltaEvent +from openai.types.beta.realtime.response_cancel_event import ( + ResponseCancelEvent as OpenAIResponseCancelEvent, +) +from openai.types.beta.realtime.response_create_event import ( + ResponseCreateEvent as OpenAIResponseCreateEvent, +) from openai.types.beta.realtime.session_update_event import ( Session as OpenAISessionObject, SessionTool as OpenAISessionTool, + SessionTracing as OpenAISessionTracing, + SessionTracingTracingConfiguration as OpenAISessionTracingConfiguration, + SessionUpdateEvent as OpenAISessionUpdateEvent, ) from pydantic import TypeAdapter from typing_extensions import assert_never @@ -135,12 +168,11 @@ async def _send_tracing_config( ) -> None: """Update tracing configuration via session.update event.""" if tracing_config is not None: + converted_tracing_config = _ConversionHelper.convert_tracing_config(tracing_config) await self._send_raw_message( - RealtimeModelSendRawMessage( - message={ - "type": "session.update", - "other_data": {"session": {"tracing": tracing_config}}, - } + OpenAISessionUpdateEvent( + session=OpenAISessionObject(tracing=converted_tracing_config), + type="session.update", ) ) @@ -199,7 +231,11 @@ async def _listen_for_messages(self): async def send_event(self, event: RealtimeModelSendEvent) -> None: """Send an event to the model.""" if isinstance(event, RealtimeModelSendRawMessage): - await self._send_raw_message(event) + converted = _ConversionHelper.try_convert_raw_message(event) + if converted is not None: + await self._send_raw_message(converted) + else: + logger.error(f"Failed to convert raw message: {event}") elif isinstance(event, RealtimeModelSendUserInput): await self._send_user_input(event) elif isinstance(event, RealtimeModelSendAudio): @@ -214,77 +250,33 @@ async def send_event(self, event: RealtimeModelSendEvent) -> None: assert_never(event) raise ValueError(f"Unknown event type: {type(event)}") - async def _send_raw_message(self, event: RealtimeModelSendRawMessage) -> None: + async def _send_raw_message(self, event: OpenAIRealtimeClientEvent) -> None: """Send a raw message to the model.""" assert self._websocket is not None, "Not connected" - converted_event = { - "type": event.message["type"], - } - - converted_event.update(event.message.get("other_data", {})) - - await self._websocket.send(json.dumps(converted_event)) + await self._websocket.send(event.model_dump_json(exclude_none=True, exclude_unset=True)) async def _send_user_input(self, event: RealtimeModelSendUserInput) -> None: - message = ( - event.user_input - if isinstance(event.user_input, dict) - else { - "type": "message", - "role": "user", - "content": [{"type": "input_text", "text": event.user_input}], - } - ) - other_data = { - "item": message, - } - - await self._send_raw_message( - RealtimeModelSendRawMessage( - message={"type": "conversation.item.create", "other_data": other_data} - ) - ) - await self._send_raw_message( - RealtimeModelSendRawMessage(message={"type": "response.create"}) - ) + converted = _ConversionHelper.convert_user_input_to_item_create(event) + await self._send_raw_message(converted) + await self._send_raw_message(OpenAIResponseCreateEvent(type="response.create")) async def _send_audio(self, event: RealtimeModelSendAudio) -> None: - base64_audio = base64.b64encode(event.audio).decode("utf-8") - await self._send_raw_message( - RealtimeModelSendRawMessage( - message={ - "type": "input_audio_buffer.append", - "other_data": { - "audio": base64_audio, - }, - } - ) - ) + converted = _ConversionHelper.convert_audio_to_input_audio_buffer_append(event) + await self._send_raw_message(converted) if event.commit: await self._send_raw_message( - RealtimeModelSendRawMessage(message={"type": "input_audio_buffer.commit"}) + OpenAIInputAudioBufferCommitEvent(type="input_audio_buffer.commit") ) async def _send_tool_output(self, event: RealtimeModelSendToolOutput) -> None: - await self._send_raw_message( - RealtimeModelSendRawMessage( - message={ - "type": "conversation.item.create", - "other_data": { - "item": { - "type": "function_call_output", - "output": event.output, - "call_id": event.tool_call.id, - }, - }, - } - ) - ) + converted = _ConversionHelper.convert_tool_output(event) + await self._send_raw_message(converted) tool_item = RealtimeToolCallItem( item_id=event.tool_call.id or "", previous_item_id=event.tool_call.previous_item_id, + call_id=event.tool_call.call_id, type="function_call", status="completed", arguments=event.tool_call.arguments, @@ -294,9 +286,7 @@ async def _send_tool_output(self, event: RealtimeModelSendToolOutput) -> None: await self._emit_event(RealtimeModelItemUpdatedEvent(item=tool_item)) if event.start_response: - await self._send_raw_message( - RealtimeModelSendRawMessage(message={"type": "response.create"}) - ) + await self._send_raw_message(OpenAIResponseCreateEvent(type="response.create")) async def _send_interrupt(self, event: RealtimeModelSendInterrupt) -> None: if not self._current_item_id or not self._audio_start_time: @@ -307,18 +297,12 @@ async def _send_interrupt(self, event: RealtimeModelSendInterrupt) -> None: elapsed_time_ms = (datetime.now() - self._audio_start_time).total_seconds() * 1000 if elapsed_time_ms > 0 and elapsed_time_ms < self._audio_length_ms: await self._emit_event(RealtimeModelAudioInterruptedEvent()) - await self._send_raw_message( - RealtimeModelSendRawMessage( - message={ - "type": "conversation.item.truncate", - "other_data": { - "item_id": self._current_item_id, - "content_index": self._current_audio_content_index, - "audio_end_ms": elapsed_time_ms, - }, - } - ) + converted = _ConversionHelper.convert_interrupt( + self._current_item_id, + self._current_audio_content_index or 0, + int(elapsed_time_ms), ) + await self._send_raw_message(converted) self._current_item_id = None self._audio_start_time = None @@ -354,6 +338,7 @@ async def _handle_output_item(self, item: ConversationItem) -> None: tool_call = RealtimeToolCallItem( item_id=item.id or "", previous_item_id=None, + call_id=item.call_id, type="function_call", # We use the same item for tool call and output, so it will be completed by the # output being added @@ -365,7 +350,7 @@ async def _handle_output_item(self, item: ConversationItem) -> None: await self._emit_event(RealtimeModelItemUpdatedEvent(item=tool_call)) await self._emit_event( RealtimeModelToolCallEvent( - call_id=item.id or "", + call_id=item.call_id or "", name=item.name or "", arguments=item.arguments or "", id=item.id or "", @@ -404,9 +389,7 @@ async def close(self) -> None: async def _cancel_response(self) -> None: if self._ongoing_response: - await self._send_raw_message( - RealtimeModelSendRawMessage(message={"type": "response.cancel"}) - ) + await self._send_raw_message(OpenAIResponseCancelEvent(type="response.cancel")) self._ongoing_response = False async def _handle_ws_event(self, event: dict[str, Any]): @@ -466,16 +449,13 @@ async def _handle_ws_event(self, event: dict[str, Any]): parsed.type == "conversation.item.input_audio_transcription.completed" or parsed.type == "conversation.item.truncated" ): - await self._send_raw_message( - RealtimeModelSendRawMessage( - message={ - "type": "conversation.item.retrieve", - "other_data": { - "item_id": self._current_item_id, - }, - } + if self._current_item_id: + await self._send_raw_message( + OpenAIConversationItemRetrieveEvent( + type="conversation.item.retrieve", + item_id=self._current_item_id, + ) ) - ) if parsed.type == "conversation.item.input_audio_transcription.completed": await self._emit_event( RealtimeModelInputAudioTranscriptionCompletedEvent( @@ -504,14 +484,7 @@ async def _handle_ws_event(self, event: dict[str, Any]): async def _update_session_config(self, model_settings: RealtimeSessionModelSettings) -> None: session_config = self._get_session_config(model_settings) await self._send_raw_message( - RealtimeModelSendRawMessage( - message={ - "type": "session.update", - "other_data": { - "session": session_config.model_dump(exclude_unset=True, exclude_none=True) - }, - } - ) + OpenAISessionUpdateEvent(session=session_config, type="session.update") ) def _get_session_config( @@ -582,3 +555,98 @@ def conversation_item_to_realtime_message_item( "status": "in_progress", }, ) + + @classmethod + def try_convert_raw_message( + cls, message: RealtimeModelSendRawMessage + ) -> OpenAIRealtimeClientEvent | None: + try: + data = {} + data["type"] = message.message["type"] + data.update(message.message.get("other_data", {})) + return TypeAdapter(OpenAIRealtimeClientEvent).validate_python(data) + except Exception: + return None + + @classmethod + def convert_tracing_config( + cls, tracing_config: RealtimeModelTracingConfig | Literal["auto"] | None + ) -> OpenAISessionTracing | None: + if tracing_config is None: + return None + elif tracing_config == "auto": + return "auto" + return OpenAISessionTracingConfiguration( + group_id=tracing_config.get("group_id"), + metadata=tracing_config.get("metadata"), + workflow_name=tracing_config.get("workflow_name"), + ) + + @classmethod + def convert_user_input_to_conversation_item( + cls, event: RealtimeModelSendUserInput + ) -> OpenAIConversationItem: + user_input = event.user_input + + if isinstance(user_input, dict): + return OpenAIConversationItem( + type="message", + role="user", + content=[ + OpenAIConversationItemContent( + type="input_text", + text=item.get("text"), + ) + for item in user_input.get("content", []) + ], + ) + else: + return OpenAIConversationItem( + type="message", + role="user", + content=[OpenAIConversationItemContent(type="input_text", text=user_input)], + ) + + @classmethod + def convert_user_input_to_item_create( + cls, event: RealtimeModelSendUserInput + ) -> OpenAIRealtimeClientEvent: + return OpenAIConversationItemCreateEvent( + type="conversation.item.create", + item=cls.convert_user_input_to_conversation_item(event), + ) + + @classmethod + def convert_audio_to_input_audio_buffer_append( + cls, event: RealtimeModelSendAudio + ) -> OpenAIRealtimeClientEvent: + base64_audio = base64.b64encode(event.audio).decode("utf-8") + return OpenAIInputAudioBufferAppendEvent( + type="input_audio_buffer.append", + audio=base64_audio, + ) + + @classmethod + def convert_tool_output(cls, event: RealtimeModelSendToolOutput) -> OpenAIRealtimeClientEvent: + return OpenAIConversationItemCreateEvent( + type="conversation.item.create", + item=OpenAIConversationItem( + type="function_call_output", + output=event.output, + call_id=event.tool_call.call_id, + ), + ) + + @classmethod + def convert_interrupt( + cls, + current_item_id: str, + current_audio_content_index: int, + elapsed_time_ms: int, + ) -> OpenAIRealtimeClientEvent: + return OpenAIConversationItemTruncateEvent( + type="conversation.item.truncate", + item_id=current_item_id, + content_index=current_audio_content_index, + audio_end_ms=elapsed_time_ms, + ) diff --git a/tests/realtime/test_conversion_helpers.py b/tests/realtime/test_conversion_helpers.py new file mode 100644 index 000000000..2264407c9 --- /dev/null +++ b/tests/realtime/test_conversion_helpers.py @@ -0,0 +1,375 @@ +import base64 +from unittest.mock import Mock + +from openai.types.beta.realtime.conversation_item import ConversationItem +from openai.types.beta.realtime.conversation_item_create_event import ConversationItemCreateEvent +from openai.types.beta.realtime.conversation_item_truncate_event import ( + ConversationItemTruncateEvent, +) +from openai.types.beta.realtime.input_audio_buffer_append_event import InputAudioBufferAppendEvent +from openai.types.beta.realtime.session_update_event import ( + SessionTracingTracingConfiguration, +) + +from agents.realtime.config import RealtimeModelTracingConfig +from agents.realtime.model_inputs import ( + RealtimeModelSendAudio, + RealtimeModelSendRawMessage, + RealtimeModelSendToolOutput, + RealtimeModelSendUserInput, + RealtimeModelUserInputMessage, +) +from agents.realtime.openai_realtime import _ConversionHelper + + +class TestConversionHelperTryConvertRawMessage: + """Test suite for _ConversionHelper.try_convert_raw_message method.""" + + def test_try_convert_raw_message_valid_session_update(self): + """Test converting a valid session.update raw message.""" + raw_message = RealtimeModelSendRawMessage( + message={ + "type": "session.update", + "other_data": { + "session": { + "modalities": ["text", "audio"], + "voice": "ash", + } + }, + } + ) + + result = _ConversionHelper.try_convert_raw_message(raw_message) + + assert result is not None + assert result.type == "session.update" + + def test_try_convert_raw_message_valid_response_create(self): + """Test converting a valid response.create raw message.""" + raw_message = RealtimeModelSendRawMessage( + message={ + "type": "response.create", + "other_data": {}, + } + ) + + result = _ConversionHelper.try_convert_raw_message(raw_message) + + assert result is not None + assert result.type == "response.create" + + def test_try_convert_raw_message_invalid_type(self): + """Test converting an invalid message type returns None.""" + raw_message = RealtimeModelSendRawMessage( + message={ + "type": "invalid.message.type", + "other_data": {}, + } + ) + + result = _ConversionHelper.try_convert_raw_message(raw_message) + + assert result is None + + def test_try_convert_raw_message_malformed_data(self): + """Test converting malformed message data returns None.""" + raw_message = RealtimeModelSendRawMessage( + message={ + "type": "session.update", + "other_data": { + "session": "invalid_session_data" # Should be dict + }, + } + ) + + result = _ConversionHelper.try_convert_raw_message(raw_message) + + assert result is None + + def test_try_convert_raw_message_missing_type(self): + """Test converting message without type returns None.""" + raw_message = RealtimeModelSendRawMessage( + message={ + "type": "missing.type.test", + "other_data": {"some": "data"}, + } + ) + + result = _ConversionHelper.try_convert_raw_message(raw_message) + + assert result is None + + +class TestConversionHelperTracingConfig: + """Test suite for _ConversionHelper.convert_tracing_config method.""" + + def test_convert_tracing_config_none(self): + """Test converting None tracing config.""" + result = _ConversionHelper.convert_tracing_config(None) + assert result is None + + def test_convert_tracing_config_auto(self): + """Test converting 'auto' tracing config.""" + result = _ConversionHelper.convert_tracing_config("auto") + assert result == "auto" + + def test_convert_tracing_config_dict_full(self): + """Test converting full tracing config dict.""" + tracing_config: RealtimeModelTracingConfig = { + "group_id": "test-group", + "metadata": {"env": "test"}, + "workflow_name": "test-workflow", + } + + result = _ConversionHelper.convert_tracing_config(tracing_config) + + assert isinstance(result, SessionTracingTracingConfiguration) + assert result.group_id == "test-group" + assert result.metadata == {"env": "test"} + assert result.workflow_name == "test-workflow" + + def test_convert_tracing_config_dict_partial(self): + """Test converting partial tracing config dict.""" + tracing_config: RealtimeModelTracingConfig = { + "group_id": "test-group", + } + + result = _ConversionHelper.convert_tracing_config(tracing_config) + + assert isinstance(result, SessionTracingTracingConfiguration) + assert result.group_id == "test-group" + assert result.metadata is None + assert result.workflow_name is None + + def test_convert_tracing_config_empty_dict(self): + """Test converting empty tracing config dict.""" + tracing_config: RealtimeModelTracingConfig = {} + + result = _ConversionHelper.convert_tracing_config(tracing_config) + + assert isinstance(result, SessionTracingTracingConfiguration) + assert result.group_id is None + assert result.metadata is None + assert result.workflow_name is None + + +class TestConversionHelperUserInput: + """Test suite for _ConversionHelper user input conversion methods.""" + + def test_convert_user_input_to_conversation_item_string(self): + """Test converting string user input to conversation item.""" + event = RealtimeModelSendUserInput(user_input="Hello, world!") + + result = _ConversionHelper.convert_user_input_to_conversation_item(event) + + assert isinstance(result, ConversationItem) + assert result.type == "message" + assert result.role == "user" + assert result.content is not None + assert len(result.content) == 1 + assert result.content[0].type == "input_text" + assert result.content[0].text == "Hello, world!" + + def test_convert_user_input_to_conversation_item_dict(self): + """Test converting dict user input to conversation item.""" + user_input_dict: RealtimeModelUserInputMessage = { + "type": "message", + "role": "user", + "content": [ + {"type": "input_text", "text": "Hello"}, + {"type": "input_text", "text": "World"}, + ] + } + event = RealtimeModelSendUserInput(user_input=user_input_dict) + + result = _ConversionHelper.convert_user_input_to_conversation_item(event) + + assert isinstance(result, ConversationItem) + assert result.type == "message" + assert result.role == "user" + assert result.content is not None + assert len(result.content) == 2 + assert result.content[0].type == "input_text" + assert result.content[0].text == "Hello" + assert result.content[1].type == "input_text" + assert result.content[1].text == "World" + + def test_convert_user_input_to_conversation_item_dict_empty_content(self): + """Test converting dict user input with empty content.""" + user_input_dict: RealtimeModelUserInputMessage = { + "type": "message", + "role": "user", + "content": [] + } + event = RealtimeModelSendUserInput(user_input=user_input_dict) + + result = _ConversionHelper.convert_user_input_to_conversation_item(event) + + assert isinstance(result, ConversationItem) + assert result.type == "message" + assert result.role == "user" + assert result.content is not None + assert len(result.content) == 0 + + def test_convert_user_input_to_item_create(self): + """Test converting user input to item create event.""" + event = RealtimeModelSendUserInput(user_input="Test message") + + result = _ConversionHelper.convert_user_input_to_item_create(event) + + assert isinstance(result, ConversationItemCreateEvent) + assert result.type == "conversation.item.create" + assert isinstance(result.item, ConversationItem) + assert result.item.type == "message" + assert result.item.role == "user" + + +class TestConversionHelperAudio: + """Test suite for _ConversionHelper.convert_audio_to_input_audio_buffer_append.""" + + def test_convert_audio_to_input_audio_buffer_append(self): + """Test converting audio data to input audio buffer append event.""" + audio_data = b"test audio data" + event = RealtimeModelSendAudio(audio=audio_data, commit=False) + + result = _ConversionHelper.convert_audio_to_input_audio_buffer_append(event) + + assert isinstance(result, InputAudioBufferAppendEvent) + assert result.type == "input_audio_buffer.append" + + # Verify base64 encoding + expected_b64 = base64.b64encode(audio_data).decode("utf-8") + assert result.audio == expected_b64 + + def test_convert_audio_to_input_audio_buffer_append_empty(self): + """Test converting empty audio data.""" + audio_data = b"" + event = RealtimeModelSendAudio(audio=audio_data, commit=True) + + result = _ConversionHelper.convert_audio_to_input_audio_buffer_append(event) + + assert isinstance(result, InputAudioBufferAppendEvent) + assert result.type == "input_audio_buffer.append" + assert result.audio == "" + + def test_convert_audio_to_input_audio_buffer_append_large_data(self): + """Test converting large audio data.""" + audio_data = b"x" * 10000 # Large audio buffer + event = RealtimeModelSendAudio(audio=audio_data, commit=False) + + result = _ConversionHelper.convert_audio_to_input_audio_buffer_append(event) + + assert isinstance(result, InputAudioBufferAppendEvent) + assert result.type == "input_audio_buffer.append" + + # Verify it can be decoded back + decoded = base64.b64decode(result.audio) + assert decoded == audio_data + + +class TestConversionHelperToolOutput: + """Test suite for _ConversionHelper.convert_tool_output method.""" + + def test_convert_tool_output(self): + """Test converting tool output to conversation item create event.""" + mock_tool_call = Mock() + mock_tool_call.call_id = "call_123" + + event = RealtimeModelSendToolOutput( + tool_call=mock_tool_call, + output="Function executed successfully", + start_response=False, + ) + + result = _ConversionHelper.convert_tool_output(event) + + assert isinstance(result, ConversationItemCreateEvent) + assert result.type == "conversation.item.create" + assert isinstance(result.item, ConversationItem) + assert result.item.type == "function_call_output" + assert result.item.output == "Function executed successfully" + assert result.item.call_id == "call_123" + + def test_convert_tool_output_no_call_id(self): + """Test converting tool output with None call_id.""" + mock_tool_call = Mock() + mock_tool_call.call_id = None + + event = RealtimeModelSendToolOutput( + tool_call=mock_tool_call, + output="Output without call ID", + start_response=False, + ) + + result = _ConversionHelper.convert_tool_output(event) + + assert isinstance(result, ConversationItemCreateEvent) + assert result.type == "conversation.item.create" + assert result.item.call_id is None + + def test_convert_tool_output_empty_output(self): + """Test converting tool output with empty output.""" + mock_tool_call = Mock() + mock_tool_call.call_id = "call_456" + + event = RealtimeModelSendToolOutput( + tool_call=mock_tool_call, + output="", + start_response=True, + ) + + result = _ConversionHelper.convert_tool_output(event) + + assert isinstance(result, ConversationItemCreateEvent) + assert result.item.output == "" + assert result.item.call_id == "call_456" + + +class TestConversionHelperInterrupt: + """Test suite for _ConversionHelper.convert_interrupt method.""" + + def test_convert_interrupt(self): + """Test converting interrupt parameters to conversation item truncate event.""" + current_item_id = "item_789" + current_audio_content_index = 2 + elapsed_time_ms = 1500 + + result = _ConversionHelper.convert_interrupt( + current_item_id, current_audio_content_index, elapsed_time_ms + ) + + assert isinstance(result, ConversationItemTruncateEvent) + assert result.type == "conversation.item.truncate" + assert result.item_id == "item_789" + assert result.content_index == 2 + assert result.audio_end_ms == 1500 + + def test_convert_interrupt_zero_time(self): + """Test converting interrupt with zero elapsed time.""" + result = _ConversionHelper.convert_interrupt("item_1", 0, 0) + + assert isinstance(result, ConversationItemTruncateEvent) + assert result.type == "conversation.item.truncate" + assert result.item_id == "item_1" + assert result.content_index == 0 + assert result.audio_end_ms == 0 + + def test_convert_interrupt_large_values(self): + """Test converting interrupt with large values.""" + result = _ConversionHelper.convert_interrupt("item_xyz", 99, 999999) + + assert isinstance(result, ConversationItemTruncateEvent) + assert result.type == "conversation.item.truncate" + assert result.item_id == "item_xyz" + assert result.content_index == 99 + assert result.audio_end_ms == 999999 + + def test_convert_interrupt_empty_item_id(self): + """Test converting interrupt with empty item ID.""" + result = _ConversionHelper.convert_interrupt("", 1, 100) + + assert isinstance(result, ConversationItemTruncateEvent) + assert result.type == "conversation.item.truncate" + assert result.item_id == "" + assert result.content_index == 1 + assert result.audio_end_ms == 100 diff --git a/tests/realtime/test_openai_realtime.py b/tests/realtime/test_openai_realtime.py index 9ecc433ca..5cb0eb0fa 100644 --- a/tests/realtime/test_openai_realtime.py +++ b/tests/realtime/test_openai_realtime.py @@ -292,6 +292,7 @@ async def test_handle_tool_call_event_success(self, model): "output_index": 0, "item": { "id": "call_123", + "call_id": "call_123", "type": "function_call", "status": "completed", "name": "get_weather", diff --git a/tests/realtime/test_tracing.py b/tests/realtime/test_tracing.py index 4cff46c49..85da63897 100644 --- a/tests/realtime/test_tracing.py +++ b/tests/realtime/test_tracing.py @@ -99,22 +99,18 @@ async def async_websocket(*args, **kwargs): await model._handle_ws_event(session_created_event) # Should send session.update with tracing config - from agents.realtime.model_inputs import RealtimeModelSendRawMessage - - expected_event = RealtimeModelSendRawMessage( - message={ - "type": "session.update", - "other_data": { - "session": { - "tracing": { - "workflow_name": "test_workflow", - "group_id": "group_123", - } - } - }, - } + from openai.types.beta.realtime.session_update_event import ( + SessionTracingTracingConfiguration, + SessionUpdateEvent, ) - mock_send_raw_message.assert_called_once_with(expected_event) + + mock_send_raw_message.assert_called_once() + call_args = mock_send_raw_message.call_args[0][0] + assert isinstance(call_args, SessionUpdateEvent) + assert call_args.type == "session.update" + assert isinstance(call_args.session.tracing, SessionTracingTracingConfiguration) + assert call_args.session.tracing.workflow_name == "test_workflow" + assert call_args.session.tracing.group_id == "group_123" @pytest.mark.asyncio async def test_send_tracing_config_auto_mode(self, model, mock_websocket): @@ -144,15 +140,13 @@ async def async_websocket(*args, **kwargs): await model._handle_ws_event(session_created_event) # Should send session.update with "auto" - from agents.realtime.model_inputs import RealtimeModelSendRawMessage + from openai.types.beta.realtime.session_update_event import SessionUpdateEvent - expected_event = RealtimeModelSendRawMessage( - message={ - "type": "session.update", - "other_data": {"session": {"tracing": "auto"}}, - } - ) - mock_send_raw_message.assert_called_once_with(expected_event) + mock_send_raw_message.assert_called_once() + call_args = mock_send_raw_message.call_args[0][0] + assert isinstance(call_args, SessionUpdateEvent) + assert call_args.type == "session.update" + assert call_args.session.tracing == "auto" @pytest.mark.asyncio async def test_tracing_config_none_skips_session_update(self, model, mock_websocket): @@ -209,22 +203,18 @@ async def async_websocket(*args, **kwargs): await model._handle_ws_event(session_created_event) # Should send session.update with complete tracing config including metadata - from agents.realtime.model_inputs import RealtimeModelSendRawMessage - - expected_event = RealtimeModelSendRawMessage( - message={ - "type": "session.update", - "other_data": { - "session": { - "tracing": { - "workflow_name": "complex_workflow", - "metadata": complex_metadata, - } - } - }, - } + from openai.types.beta.realtime.session_update_event import ( + SessionTracingTracingConfiguration, + SessionUpdateEvent, ) - mock_send_raw_message.assert_called_once_with(expected_event) + + mock_send_raw_message.assert_called_once() + call_args = mock_send_raw_message.call_args[0][0] + assert isinstance(call_args, SessionUpdateEvent) + assert call_args.type == "session.update" + assert isinstance(call_args.session.tracing, SessionTracingTracingConfiguration) + assert call_args.session.tracing.workflow_name == "complex_workflow" + assert call_args.session.tracing.metadata == complex_metadata @pytest.mark.asyncio async def test_tracing_disabled_prevents_tracing(self, mock_websocket): diff --git a/uv.lock b/uv.lock index 7d0621d88..3bff55bf9 100644 --- a/uv.lock +++ b/uv.lock @@ -1461,7 +1461,7 @@ wheels = [ [[package]] name = "openai" -version = "1.93.1" +version = "1.96.0" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "anyio" }, @@ -1473,9 +1473,9 @@ dependencies = [ { name = "tqdm" }, { name = "typing-extensions" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/5e/a8/e4427729da048cb33bda15e70f09f7520bdf3577bafc546b135ecb36af7d/openai-1.93.1.tar.gz", hash = "sha256:11eb8932965d0f79ecc4cb38a60a0c4cef4bcd5fcf08b99fc9a399fa5f1e50ab", size = 487124, upload-time = "2025-07-07T16:40:38.389Z" } +sdist = { url = "https://files.pythonhosted.org/packages/47/7d/dbc636786f8bf029600abdbf89da74706bdde37c4fe1471ce78834a7ecaa/openai-1.96.0.tar.gz", hash = "sha256:36e34b5aa2c9c0380c1934fa16ba53b3b3c6462450b4c008b98859b9b6424cf7", size = 488898, upload-time = "2025-07-15T15:56:52.853Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/64/4f/875e5af1fb4e5ed4ea9e4a88f482d9ca2e48932105605b6c516e9a14de25/openai-1.93.1-py3-none-any.whl", hash = "sha256:a2c2946c4f21346d4902311a7440381fd8a33466ee7ca688133d1cad29a9357c", size = 755081, upload-time = "2025-07-07T16:40:36.585Z" }, + { url = "https://files.pythonhosted.org/packages/dc/63/e29319a52449b7ac4c3a13a1448a9fa326aa1263478eb4c4a9bcbbe95648/openai-1.96.0-py3-none-any.whl", hash = "sha256:4dee023520f8a70ddeaa9f4d6fb247e6dcafd79d2ebb415e3f85932d95aa64a0", size = 757092, upload-time = "2025-07-15T15:56:50.387Z" }, ] [[package]] @@ -1539,7 +1539,7 @@ requires-dist = [ { name = "litellm", marker = "extra == 'litellm'", specifier = ">=1.67.4.post1,<2" }, { name = "mcp", marker = "python_full_version >= '3.10'", specifier = ">=1.9.4,<2" }, { name = "numpy", marker = "python_full_version >= '3.10' and extra == 'voice'", specifier = ">=2.2.0,<3" }, - { name = "openai", specifier = ">=1.93.1,<2" }, + { name = "openai", specifier = ">=1.96.0,<2" }, { name = "pydantic", specifier = ">=2.10,<3" }, { name = "requests", specifier = ">=2.0,<3" }, { name = "types-requests", specifier = ">=2.0,<3" }, From 3a52e31efeff5619905d202150f0020d02346fe0 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 15 Jul 2025 15:42:14 -0400 Subject: [PATCH 242/337] Realtime: introduce a demo without a UI --- examples/realtime/demo.py | 3 +- examples/realtime/no_ui_demo.py | 178 ++++++++++++++++++++++++++++++++ 2 files changed, 180 insertions(+), 1 deletion(-) create mode 100644 examples/realtime/no_ui_demo.py diff --git a/examples/realtime/demo.py b/examples/realtime/demo.py index 3db051963..e366212d2 100644 --- a/examples/realtime/demo.py +++ b/examples/realtime/demo.py @@ -103,7 +103,8 @@ async def _on_event(self, event: RealtimeSessionEvent) -> None: elif event.type == "history_added": pass elif event.type == "raw_model_event": - self.ui.log_message(f"Raw model event: {_truncate_str(str(event.data), 50)}") + if event.data.type != "error" and event.data.type != "exception": + self.ui.log_message(f"Raw model event: {event.data}") else: self.ui.log_message(f"Unknown event type: {event.type}") except Exception as e: diff --git a/examples/realtime/no_ui_demo.py b/examples/realtime/no_ui_demo.py new file mode 100644 index 000000000..ff53fea84 --- /dev/null +++ b/examples/realtime/no_ui_demo.py @@ -0,0 +1,178 @@ +import asyncio +import sys + +import numpy as np +import sounddevice as sd + +from agents import function_tool +from agents.realtime import RealtimeAgent, RealtimeRunner, RealtimeSession, RealtimeSessionEvent + +# Audio configuration +CHUNK_LENGTH_S = 0.05 # 50ms +SAMPLE_RATE = 24000 +FORMAT = np.int16 +CHANNELS = 1 + +# Set up logging for OpenAI agents SDK +# logging.basicConfig( +# level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s" +# ) +# logger.logger.setLevel(logging.ERROR) + + +@function_tool +def get_weather(city: str) -> str: + """Get the weather in a city.""" + return f"The weather in {city} is sunny." + + +agent = RealtimeAgent( + name="Assistant", + instructions="You always greet the user with 'Top of the morning to you'.", + tools=[get_weather], +) + + +def _truncate_str(s: str, max_length: int) -> str: + if len(s) > max_length: + return s[:max_length] + "..." + return s + + +class NoUIDemo: + def __init__(self) -> None: + self.session: RealtimeSession | None = None + self.audio_stream: sd.InputStream | None = None + self.audio_player: sd.OutputStream | None = None + self.recording = False + + async def run(self) -> None: + print("Connecting, may take a few seconds...") + + # Initialize audio player + self.audio_player = sd.OutputStream( + channels=CHANNELS, + samplerate=SAMPLE_RATE, + dtype=FORMAT, + ) + self.audio_player.start() + + try: + runner = RealtimeRunner(agent) + async with await runner.run() as session: + self.session = session + print("Connected. Starting audio recording...") + + # Start audio recording + await self.start_audio_recording() + print("Audio recording started. You can start speaking - expect lots of logs!") + + # Process session events + async for event in session: + await self._on_event(event) + + finally: + # Clean up audio player + if self.audio_player and self.audio_player.active: + self.audio_player.stop() + if self.audio_player: + self.audio_player.close() + + print("Session ended") + + async def start_audio_recording(self) -> None: + """Start recording audio from the microphone.""" + # Set up audio input stream + self.audio_stream = sd.InputStream( + channels=CHANNELS, + samplerate=SAMPLE_RATE, + dtype=FORMAT, + ) + + self.audio_stream.start() + self.recording = True + + # Start audio capture task + asyncio.create_task(self.capture_audio()) + + async def capture_audio(self) -> None: + """Capture audio from the microphone and send to the session.""" + if not self.audio_stream or not self.session: + return + + # Buffer size in samples + read_size = int(SAMPLE_RATE * CHUNK_LENGTH_S) + + try: + while self.recording: + # Check if there's enough data to read + if self.audio_stream.read_available < read_size: + await asyncio.sleep(0.01) + continue + + # Read audio data + data, _ = self.audio_stream.read(read_size) + + # Convert numpy array to bytes + audio_bytes = data.tobytes() + + # Send audio to session + await self.session.send_audio(audio_bytes) + + # Yield control back to event loop + await asyncio.sleep(0) + + except Exception as e: + print(f"Audio capture error: {e}") + finally: + if self.audio_stream and self.audio_stream.active: + self.audio_stream.stop() + if self.audio_stream: + self.audio_stream.close() + + async def _on_event(self, event: RealtimeSessionEvent) -> None: + """Handle session events.""" + try: + if event.type == "agent_start": + print(f"Agent started: {event.agent.name}") + elif event.type == "agent_end": + print(f"Agent ended: {event.agent.name}") + elif event.type == "handoff": + print(f"Handoff from {event.from_agent.name} to {event.to_agent.name}") + elif event.type == "tool_start": + print(f"Tool started: {event.tool.name}") + elif event.type == "tool_end": + print(f"Tool ended: {event.tool.name}; output: {event.output}") + elif event.type == "audio_end": + print("Audio ended") + elif event.type == "audio": + # Play audio through speakers + np_audio = np.frombuffer(event.audio.data, dtype=np.int16) + if self.audio_player: + try: + self.audio_player.write(np_audio) + except Exception as e: + print(f"Audio playback error: {e}") + elif event.type == "audio_interrupted": + print("Audio interrupted") + elif event.type == "error": + print(f"Error: {event.error}") + elif event.type == "history_updated": + pass # Skip these frequent events + elif event.type == "history_added": + pass # Skip these frequent events + elif event.type == "raw_model_event": + print(f"Raw model event: {_truncate_str(str(event.data), 50)}") + else: + print(f"Unknown event type: {event.type}") + except Exception as e: + print(f"Error processing event: {_truncate_str(str(e), 50)}") + + +if __name__ == "__main__": + demo = NoUIDemo() + try: + asyncio.run(demo.run()) + except KeyboardInterrupt: + print("\nExiting...") + sys.exit(0) From 027d176c48e8a92ad6ea0a53cb287ec3935cbfce Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 15 Jul 2025 15:46:15 -0400 Subject: [PATCH 243/337] Realtime: introduce a demo without a UI --- examples/realtime/demo.py | 3 +- examples/realtime/no_ui_demo.py | 178 ++++++++++++++++++++++++++++++++ 2 files changed, 180 insertions(+), 1 deletion(-) create mode 100644 examples/realtime/no_ui_demo.py diff --git a/examples/realtime/demo.py b/examples/realtime/demo.py index 3db051963..e366212d2 100644 --- a/examples/realtime/demo.py +++ b/examples/realtime/demo.py @@ -103,7 +103,8 @@ async def _on_event(self, event: RealtimeSessionEvent) -> None: elif event.type == "history_added": pass elif event.type == "raw_model_event": - self.ui.log_message(f"Raw model event: {_truncate_str(str(event.data), 50)}") + if event.data.type != "error" and event.data.type != "exception": + self.ui.log_message(f"Raw model event: {event.data}") else: self.ui.log_message(f"Unknown event type: {event.type}") except Exception as e: diff --git a/examples/realtime/no_ui_demo.py b/examples/realtime/no_ui_demo.py new file mode 100644 index 000000000..ff53fea84 --- /dev/null +++ b/examples/realtime/no_ui_demo.py @@ -0,0 +1,178 @@ +import asyncio +import sys + +import numpy as np +import sounddevice as sd + +from agents import function_tool +from agents.realtime import RealtimeAgent, RealtimeRunner, RealtimeSession, RealtimeSessionEvent + +# Audio configuration +CHUNK_LENGTH_S = 0.05 # 50ms +SAMPLE_RATE = 24000 +FORMAT = np.int16 +CHANNELS = 1 + +# Set up logging for OpenAI agents SDK +# logging.basicConfig( +# level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s" +# ) +# logger.logger.setLevel(logging.ERROR) + + +@function_tool +def get_weather(city: str) -> str: + """Get the weather in a city.""" + return f"The weather in {city} is sunny." + + +agent = RealtimeAgent( + name="Assistant", + instructions="You always greet the user with 'Top of the morning to you'.", + tools=[get_weather], +) + + +def _truncate_str(s: str, max_length: int) -> str: + if len(s) > max_length: + return s[:max_length] + "..." + return s + + +class NoUIDemo: + def __init__(self) -> None: + self.session: RealtimeSession | None = None + self.audio_stream: sd.InputStream | None = None + self.audio_player: sd.OutputStream | None = None + self.recording = False + + async def run(self) -> None: + print("Connecting, may take a few seconds...") + + # Initialize audio player + self.audio_player = sd.OutputStream( + channels=CHANNELS, + samplerate=SAMPLE_RATE, + dtype=FORMAT, + ) + self.audio_player.start() + + try: + runner = RealtimeRunner(agent) + async with await runner.run() as session: + self.session = session + print("Connected. Starting audio recording...") + + # Start audio recording + await self.start_audio_recording() + print("Audio recording started. You can start speaking - expect lots of logs!") + + # Process session events + async for event in session: + await self._on_event(event) + + finally: + # Clean up audio player + if self.audio_player and self.audio_player.active: + self.audio_player.stop() + if self.audio_player: + self.audio_player.close() + + print("Session ended") + + async def start_audio_recording(self) -> None: + """Start recording audio from the microphone.""" + # Set up audio input stream + self.audio_stream = sd.InputStream( + channels=CHANNELS, + samplerate=SAMPLE_RATE, + dtype=FORMAT, + ) + + self.audio_stream.start() + self.recording = True + + # Start audio capture task + asyncio.create_task(self.capture_audio()) + + async def capture_audio(self) -> None: + """Capture audio from the microphone and send to the session.""" + if not self.audio_stream or not self.session: + return + + # Buffer size in samples + read_size = int(SAMPLE_RATE * CHUNK_LENGTH_S) + + try: + while self.recording: + # Check if there's enough data to read + if self.audio_stream.read_available < read_size: + await asyncio.sleep(0.01) + continue + + # Read audio data + data, _ = self.audio_stream.read(read_size) + + # Convert numpy array to bytes + audio_bytes = data.tobytes() + + # Send audio to session + await self.session.send_audio(audio_bytes) + + # Yield control back to event loop + await asyncio.sleep(0) + + except Exception as e: + print(f"Audio capture error: {e}") + finally: + if self.audio_stream and self.audio_stream.active: + self.audio_stream.stop() + if self.audio_stream: + self.audio_stream.close() + + async def _on_event(self, event: RealtimeSessionEvent) -> None: + """Handle session events.""" + try: + if event.type == "agent_start": + print(f"Agent started: {event.agent.name}") + elif event.type == "agent_end": + print(f"Agent ended: {event.agent.name}") + elif event.type == "handoff": + print(f"Handoff from {event.from_agent.name} to {event.to_agent.name}") + elif event.type == "tool_start": + print(f"Tool started: {event.tool.name}") + elif event.type == "tool_end": + print(f"Tool ended: {event.tool.name}; output: {event.output}") + elif event.type == "audio_end": + print("Audio ended") + elif event.type == "audio": + # Play audio through speakers + np_audio = np.frombuffer(event.audio.data, dtype=np.int16) + if self.audio_player: + try: + self.audio_player.write(np_audio) + except Exception as e: + print(f"Audio playback error: {e}") + elif event.type == "audio_interrupted": + print("Audio interrupted") + elif event.type == "error": + print(f"Error: {event.error}") + elif event.type == "history_updated": + pass # Skip these frequent events + elif event.type == "history_added": + pass # Skip these frequent events + elif event.type == "raw_model_event": + print(f"Raw model event: {_truncate_str(str(event.data), 50)}") + else: + print(f"Unknown event type: {event.type}") + except Exception as e: + print(f"Error processing event: {_truncate_str(str(e), 50)}") + + +if __name__ == "__main__": + demo = NoUIDemo() + try: + asyncio.run(demo.run()) + except KeyboardInterrupt: + print("\nExiting...") + sys.exit(0) From 20139cc2469ad6b4081fb12caf95a959f5e236d2 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 15 Jul 2025 21:55:40 -0400 Subject: [PATCH 244/337] Realtime: handoffs --- src/agents/agent.py | 2 +- src/agents/guardrail.py | 2 +- src/agents/handoffs.py | 46 +++++++++++++++++-------- src/agents/models/chatcmpl_converter.py | 2 +- src/agents/models/openai_responses.py | 2 +- src/agents/realtime/__init__.py | 3 ++ src/agents/realtime/agent.py | 11 +++++- src/agents/realtime/config.py | 2 ++ src/agents/realtime/openai_realtime.py | 20 +++++++++-- src/agents/realtime/session.py | 43 ++++++++++++++++++++--- tests/realtime/test_session.py | 42 +++++++++++----------- tests/test_handoff_tool.py | 5 +++ 12 files changed, 132 insertions(+), 48 deletions(-) diff --git a/src/agents/agent.py b/src/agents/agent.py index 9c107a81b..b67a12c0d 100644 --- a/src/agents/agent.py +++ b/src/agents/agent.py @@ -158,7 +158,7 @@ class Agent(AgentBase, Generic[TContext]): usable with OpenAI models, using the Responses API. """ - handoffs: list[Agent[Any] | Handoff[TContext]] = field(default_factory=list) + handoffs: list[Agent[Any] | Handoff[TContext, Any]] = field(default_factory=list) """Handoffs are sub-agents that the agent can delegate to. You can provide a list of handoffs, and the agent can choose to delegate to them if relevant. Allows for separation of concerns and modularity. diff --git a/src/agents/guardrail.py b/src/agents/guardrail.py index f8a272b53..2bb0f014e 100644 --- a/src/agents/guardrail.py +++ b/src/agents/guardrail.py @@ -244,7 +244,7 @@ def decorator( return InputGuardrail( guardrail_function=f, # If not set, guardrail name uses the function’s name by default. - name=name if name else f.__name__ + name=name if name else f.__name__, ) if func is not None: diff --git a/src/agents/handoffs.py b/src/agents/handoffs.py index cb2752e4f..1ad8831f0 100644 --- a/src/agents/handoffs.py +++ b/src/agents/handoffs.py @@ -18,12 +18,15 @@ from .util._types import MaybeAwaitable if TYPE_CHECKING: - from .agent import Agent + from .agent import Agent, AgentBase # The handoff input type is the type of data passed when the agent is called via a handoff. THandoffInput = TypeVar("THandoffInput", default=Any) +# The agent type that the handoff returns +TAgent = TypeVar("TAgent", bound="AgentBase[Any]", default="Agent[Any]") + OnHandoffWithInput = Callable[[RunContextWrapper[Any], THandoffInput], Any] OnHandoffWithoutInput = Callable[[RunContextWrapper[Any]], Any] @@ -52,7 +55,7 @@ class HandoffInputData: @dataclass -class Handoff(Generic[TContext]): +class Handoff(Generic[TContext, TAgent]): """A handoff is when an agent delegates a task to another agent. For example, in a customer support scenario you might have a "triage agent" that determines which agent should handle the user's request, and sub-agents that specialize in different @@ -69,7 +72,7 @@ class Handoff(Generic[TContext]): """The JSON schema for the handoff input. Can be empty if the handoff does not take an input. """ - on_invoke_handoff: Callable[[RunContextWrapper[Any], str], Awaitable[Agent[TContext]]] + on_invoke_handoff: Callable[[RunContextWrapper[Any], str], Awaitable[TAgent]] """The function that invokes the handoff. The parameters passed are: 1. The handoff run context 2. The arguments from the LLM, as a JSON string. Empty string if input_json_schema is empty. @@ -100,20 +103,22 @@ class Handoff(Generic[TContext]): True, as it increases the likelihood of correct JSON input. """ - is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True + is_enabled: bool | Callable[[RunContextWrapper[Any], AgentBase[Any]], MaybeAwaitable[bool]] = ( + True + ) """Whether the handoff is enabled. Either a bool or a Callable that takes the run context and agent and returns whether the handoff is enabled. You can use this to dynamically enable/disable a handoff based on your context/state.""" - def get_transfer_message(self, agent: Agent[Any]) -> str: + def get_transfer_message(self, agent: AgentBase[Any]) -> str: return json.dumps({"assistant": agent.name}) @classmethod - def default_tool_name(cls, agent: Agent[Any]) -> str: + def default_tool_name(cls, agent: AgentBase[Any]) -> str: return _transforms.transform_string_function_style(f"transfer_to_{agent.name}") @classmethod - def default_tool_description(cls, agent: Agent[Any]) -> str: + def default_tool_description(cls, agent: AgentBase[Any]) -> str: return ( f"Handoff to the {agent.name} agent to handle the request. " f"{agent.handoff_description or ''}" @@ -128,7 +133,7 @@ def handoff( tool_description_override: str | None = None, input_filter: Callable[[HandoffInputData], HandoffInputData] | None = None, is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, -) -> Handoff[TContext]: ... +) -> Handoff[TContext, Agent[TContext]]: ... @overload @@ -141,7 +146,7 @@ def handoff( tool_name_override: str | None = None, input_filter: Callable[[HandoffInputData], HandoffInputData] | None = None, is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, -) -> Handoff[TContext]: ... +) -> Handoff[TContext, Agent[TContext]]: ... @overload @@ -153,7 +158,7 @@ def handoff( tool_name_override: str | None = None, input_filter: Callable[[HandoffInputData], HandoffInputData] | None = None, is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, -) -> Handoff[TContext]: ... +) -> Handoff[TContext, Agent[TContext]]: ... def handoff( @@ -163,8 +168,9 @@ def handoff( on_handoff: OnHandoffWithInput[THandoffInput] | OnHandoffWithoutInput | None = None, input_type: type[THandoffInput] | None = None, input_filter: Callable[[HandoffInputData], HandoffInputData] | None = None, - is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, -) -> Handoff[TContext]: + is_enabled: bool + | Callable[[RunContextWrapper[Any], Agent[TContext]], MaybeAwaitable[bool]] = True, +) -> Handoff[TContext, Agent[TContext]]: """Create a handoff from an agent. Args: @@ -202,7 +208,7 @@ def handoff( async def _invoke_handoff( ctx: RunContextWrapper[Any], input_json: str | None = None - ) -> Agent[Any]: + ) -> Agent[TContext]: if input_type is not None and type_adapter is not None: if input_json is None: _error_tracing.attach_error_to_current_span( @@ -239,6 +245,18 @@ async def _invoke_handoff( # If there is a need, we can make this configurable in the future input_json_schema = ensure_strict_json_schema(input_json_schema) + async def _is_enabled(ctx: RunContextWrapper[Any], agent_base: AgentBase[Any]) -> bool: + from .agent import Agent + + assert callable(is_enabled), "is_enabled must be non-null here" + assert isinstance(agent_base, Agent), "Can't handoff to a non-Agent" + result = is_enabled(ctx, agent_base) + + if inspect.isawaitable(result): + return await result + + return result + return Handoff( tool_name=tool_name, tool_description=tool_description, @@ -246,5 +264,5 @@ async def _invoke_handoff( on_invoke_handoff=_invoke_handoff, input_filter=input_filter, agent_name=agent.name, - is_enabled=is_enabled, + is_enabled=_is_enabled if callable(is_enabled) else is_enabled, ) diff --git a/src/agents/models/chatcmpl_converter.py b/src/agents/models/chatcmpl_converter.py index d3c71c24e..351dc5db7 100644 --- a/src/agents/models/chatcmpl_converter.py +++ b/src/agents/models/chatcmpl_converter.py @@ -484,7 +484,7 @@ def tool_to_openai(cls, tool: Tool) -> ChatCompletionToolParam: ) @classmethod - def convert_handoff_tool(cls, handoff: Handoff[Any]) -> ChatCompletionToolParam: + def convert_handoff_tool(cls, handoff: Handoff[Any, Any]) -> ChatCompletionToolParam: return { "type": "function", "function": { diff --git a/src/agents/models/openai_responses.py b/src/agents/models/openai_responses.py index 76c67903c..f6da60b08 100644 --- a/src/agents/models/openai_responses.py +++ b/src/agents/models/openai_responses.py @@ -370,7 +370,7 @@ def get_response_format( def convert_tools( cls, tools: list[Tool], - handoffs: list[Handoff[Any]], + handoffs: list[Handoff[Any, Any]], ) -> ConvertedTools: converted_tools: list[ToolParam] = [] includes: list[ResponseIncludable] = [] diff --git a/src/agents/realtime/__init__.py b/src/agents/realtime/__init__.py index 0e3e12f75..49c131389 100644 --- a/src/agents/realtime/__init__.py +++ b/src/agents/realtime/__init__.py @@ -30,6 +30,7 @@ RealtimeToolEnd, RealtimeToolStart, ) +from .handoffs import realtime_handoff from .items import ( AssistantMessageItem, AssistantText, @@ -92,6 +93,8 @@ "RealtimeAgentHooks", "RealtimeRunHooks", "RealtimeRunner", + # Handoffs + "realtime_handoff", # Config "RealtimeAudioFormat", "RealtimeClientMessage", diff --git a/src/agents/realtime/agent.py b/src/agents/realtime/agent.py index 9bbed8cb4..30e80a95b 100644 --- a/src/agents/realtime/agent.py +++ b/src/agents/realtime/agent.py @@ -3,10 +3,11 @@ import dataclasses import inspect from collections.abc import Awaitable -from dataclasses import dataclass +from dataclasses import dataclass, field from typing import Any, Callable, Generic, cast from ..agent import AgentBase +from ..handoffs import Handoff from ..lifecycle import AgentHooksBase, RunHooksBase from ..logger import logger from ..run_context import RunContextWrapper, TContext @@ -53,6 +54,14 @@ class RealtimeAgent(AgentBase, Generic[TContext]): return a string. """ + handoffs: list[RealtimeAgent[Any] | Handoff[TContext, RealtimeAgent[Any]]] = field( + default_factory=list + ) + """Handoffs are sub-agents that the agent can delegate to. You can provide a list of handoffs, + and the agent can choose to delegate to them if relevant. Allows for separation of concerns and + modularity. + """ + hooks: RealtimeAgentHooks | None = None """A class that receives callbacks on various lifecycle events for this agent. """ diff --git a/src/agents/realtime/config.py b/src/agents/realtime/config.py index 7f874cfb0..6e7e3f4be 100644 --- a/src/agents/realtime/config.py +++ b/src/agents/realtime/config.py @@ -9,6 +9,7 @@ from typing_extensions import NotRequired, TypeAlias, TypedDict from ..guardrail import OutputGuardrail +from ..handoffs import Handoff from ..model_settings import ToolChoice from ..tool import Tool @@ -71,6 +72,7 @@ class RealtimeSessionModelSettings(TypedDict): tool_choice: NotRequired[ToolChoice] tools: NotRequired[list[Tool]] + handoffs: NotRequired[list[Handoff]] tracing: NotRequired[RealtimeModelTracingConfig | None] diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 129d89c49..bbffaeefa 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -56,6 +56,7 @@ from typing_extensions import assert_never from websockets.asyncio.client import ClientConnection +from agents.handoffs import Handoff from agents.tool import FunctionTool, Tool from agents.util._types import MaybeAwaitable @@ -519,10 +520,14 @@ def _get_session_config( "tool_choice", DEFAULT_MODEL_SETTINGS.get("tool_choice"), # type: ignore ), - tools=self._tools_to_session_tools(model_settings.get("tools", [])), + tools=self._tools_to_session_tools( + tools=model_settings.get("tools", []), handoffs=model_settings.get("handoffs", []) + ), ) - def _tools_to_session_tools(self, tools: list[Tool]) -> list[OpenAISessionTool]: + def _tools_to_session_tools( + self, tools: list[Tool], handoffs: list[Handoff] + ) -> list[OpenAISessionTool]: converted_tools: list[OpenAISessionTool] = [] for tool in tools: if not isinstance(tool, FunctionTool): @@ -535,6 +540,17 @@ def _tools_to_session_tools(self, tools: list[Tool]) -> list[OpenAISessionTool]: type="function", ) ) + + for handoff in handoffs: + converted_tools.append( + OpenAISessionTool( + name=handoff.tool_name, + description=handoff.tool_description, + parameters=handoff.input_json_schema, + type="function", + ) + ) + return converted_tools diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index 07791c8d8..6df35b438 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -1,6 +1,7 @@ from __future__ import annotations import asyncio +import inspect from collections.abc import AsyncIterator from typing import Any, cast @@ -31,6 +32,7 @@ RealtimeToolEnd, RealtimeToolStart, ) +from .handoffs import realtime_handoff from .items import InputAudio, InputText, RealtimeItem from .model import RealtimeModel, RealtimeModelConfig, RealtimeModelListener from .model_events import ( @@ -255,9 +257,12 @@ async def _put_event(self, event: RealtimeSessionEvent) -> None: async def _handle_tool_call(self, event: RealtimeModelToolCallEvent) -> None: """Handle a tool call event.""" - all_tools = await self._current_agent.get_all_tools(self._context_wrapper) - function_map = {tool.name: tool for tool in all_tools if isinstance(tool, FunctionTool)} - handoff_map = {tool.name: tool for tool in all_tools if isinstance(tool, Handoff)} + tools, handoffs = await asyncio.gather( + self._current_agent.get_all_tools(self._context_wrapper), + self._get_handoffs(self._current_agent, self._context_wrapper), + ) + function_map = {tool.name: tool for tool in tools if isinstance(tool, FunctionTool)} + handoff_map = {handoff.tool_name: handoff for handoff in handoffs} if event.name in function_map: await self._put_event( @@ -303,7 +308,9 @@ async def _handle_tool_call(self, event: RealtimeModelToolCallEvent) -> None: # Execute the handoff to get the new agent result = await handoff.on_invoke_handoff(self._context_wrapper, event.arguments) if not isinstance(result, RealtimeAgent): - raise UserError(f"Handoff {handoff.name} returned invalid result: {type(result)}") + raise UserError( + f"Handoff {handoff.tool_name} returned invalid result: {type(result)}" + ) # Store previous agent for event previous_agent = self._current_agent @@ -492,11 +499,37 @@ async def _get__updated_model_settings( self, new_agent: RealtimeAgent ) -> RealtimeSessionModelSettings: updated_settings: RealtimeSessionModelSettings = {} - instructions, tools = await asyncio.gather( + instructions, tools, handoffs = await asyncio.gather( new_agent.get_system_prompt(self._context_wrapper), new_agent.get_all_tools(self._context_wrapper), + self._get_handoffs(new_agent, self._context_wrapper), ) updated_settings["instructions"] = instructions or "" updated_settings["tools"] = tools or [] + updated_settings["handoffs"] = handoffs or [] return updated_settings + + @classmethod + async def _get_handoffs( + cls, agent: RealtimeAgent[Any], context_wrapper: RunContextWrapper[Any] + ) -> list[Handoff[Any, RealtimeAgent[Any]]]: + handoffs: list[Handoff[Any, RealtimeAgent[Any]]] = [] + for handoff_item in agent.handoffs: + if isinstance(handoff_item, Handoff): + handoffs.append(handoff_item) + elif isinstance(handoff_item, RealtimeAgent): + handoffs.append(realtime_handoff(handoff_item)) + + async def _check_handoff_enabled(handoff_obj: Handoff[Any, RealtimeAgent[Any]]) -> bool: + attr = handoff_obj.is_enabled + if isinstance(attr, bool): + return attr + res = attr(context_wrapper, agent) + if inspect.isawaitable(res): + return await res + return res + + results = await asyncio.gather(*(_check_handoff_enabled(h) for h in handoffs)) + enabled = [h for h, ok in zip(handoffs, results) if ok] + return enabled diff --git a/tests/realtime/test_session.py b/tests/realtime/test_session.py index 4cc0dae6b..d95e4e33d 100644 --- a/tests/realtime/test_session.py +++ b/tests/realtime/test_session.py @@ -1,5 +1,5 @@ from typing import cast -from unittest.mock import AsyncMock, Mock +from unittest.mock import AsyncMock, Mock, PropertyMock import pytest @@ -101,6 +101,8 @@ async def close(self): def mock_agent(): agent = Mock(spec=RealtimeAgent) agent.get_all_tools = AsyncMock(return_value=[]) + + type(agent).handoffs = PropertyMock(return_value=[]) return agent @@ -794,30 +796,26 @@ async def test_function_tool_with_multiple_tools_available(self, mock_model, moc assert sent_output == "result_two" @pytest.mark.asyncio - async def test_handoff_tool_handling(self, mock_model, mock_agent, mock_handoff): - """Test that handoff tools are properly handled""" - from unittest.mock import AsyncMock - - from agents.realtime.agent import RealtimeAgent - - # Create a mock new agent to be returned by handoff - mock_new_agent = Mock(spec=RealtimeAgent) - mock_new_agent.name = "new_agent" - mock_new_agent.instructions = "New agent instructions" - mock_new_agent.get_all_tools = AsyncMock(return_value=[]) - mock_new_agent.get_system_prompt = AsyncMock(return_value="New agent system prompt") - - # Set up handoff to return the new agent - mock_handoff.on_invoke_handoff = AsyncMock(return_value=mock_new_agent) - mock_handoff.name = "test_handoff" + async def test_handoff_tool_handling(self, mock_model): + first_agent = RealtimeAgent( + name="first_agent", + instructions="first_agent_instructions", + tools=[], + handoffs=[], + ) + second_agent = RealtimeAgent( + name="second_agent", + instructions="second_agent_instructions", + tools=[], + handoffs=[], + ) - # Set up agent to return handoff tool - mock_agent.get_all_tools.return_value = [mock_handoff] + first_agent.handoffs = [second_agent] - session = RealtimeSession(mock_model, mock_agent, None) + session = RealtimeSession(mock_model, first_agent, None) tool_call_event = RealtimeModelToolCallEvent( - name="test_handoff", call_id="call_789", arguments="{}" + name=Handoff.default_tool_name(second_agent), call_id="call_789", arguments="{}" ) await session._handle_tool_call(tool_call_event) @@ -829,7 +827,7 @@ async def test_handoff_tool_handling(self, mock_model, mock_agent, mock_handoff) assert session._event_queue.qsize() >= 1 # Verify agent was updated - assert session._current_agent == mock_new_agent + assert session._current_agent == second_agent @pytest.mark.asyncio async def test_unknown_tool_handling(self, mock_model, mock_agent, mock_function_tool): diff --git a/tests/test_handoff_tool.py b/tests/test_handoff_tool.py index 0f7fc2166..291f0a4f5 100644 --- a/tests/test_handoff_tool.py +++ b/tests/test_handoff_tool.py @@ -1,3 +1,4 @@ +import inspect import json from typing import Any @@ -318,6 +319,8 @@ def always_enabled(ctx: RunContextWrapper[Any], agent: Agent[Any]) -> bool: handoff_callable_enabled = handoff(agent, is_enabled=always_enabled) assert callable(handoff_callable_enabled.is_enabled) result = handoff_callable_enabled.is_enabled(RunContextWrapper(agent), agent) + assert inspect.isawaitable(result) + result = await result assert result is True # Test callable that returns False @@ -327,6 +330,8 @@ def always_disabled(ctx: RunContextWrapper[Any], agent: Agent[Any]) -> bool: handoff_callable_disabled = handoff(agent, is_enabled=always_disabled) assert callable(handoff_callable_disabled.is_enabled) result = handoff_callable_disabled.is_enabled(RunContextWrapper(agent), agent) + assert inspect.isawaitable(result) + result = await result assert result is False # Test async callable From ec7388ec38013ab932f53ab6c1111ebd6fb252b7 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 15 Jul 2025 21:55:40 -0400 Subject: [PATCH 245/337] Realtime: handoffs --- src/agents/agent.py | 2 +- src/agents/guardrail.py | 2 +- src/agents/handoffs.py | 46 +++++-- src/agents/models/chatcmpl_converter.py | 2 +- src/agents/models/openai_responses.py | 2 +- src/agents/realtime/__init__.py | 3 + src/agents/realtime/agent.py | 11 +- src/agents/realtime/config.py | 2 + src/agents/realtime/handoffs.py | 165 +++++++++++++++++++++++ src/agents/realtime/openai_realtime.py | 20 ++- src/agents/realtime/session.py | 43 +++++- tests/realtime/test_realtime_handoffs.py | 96 +++++++++++++ tests/realtime/test_session.py | 42 +++--- tests/test_handoff_tool.py | 5 + 14 files changed, 393 insertions(+), 48 deletions(-) create mode 100644 src/agents/realtime/handoffs.py create mode 100644 tests/realtime/test_realtime_handoffs.py diff --git a/src/agents/agent.py b/src/agents/agent.py index 9c107a81b..b67a12c0d 100644 --- a/src/agents/agent.py +++ b/src/agents/agent.py @@ -158,7 +158,7 @@ class Agent(AgentBase, Generic[TContext]): usable with OpenAI models, using the Responses API. """ - handoffs: list[Agent[Any] | Handoff[TContext]] = field(default_factory=list) + handoffs: list[Agent[Any] | Handoff[TContext, Any]] = field(default_factory=list) """Handoffs are sub-agents that the agent can delegate to. You can provide a list of handoffs, and the agent can choose to delegate to them if relevant. Allows for separation of concerns and modularity. diff --git a/src/agents/guardrail.py b/src/agents/guardrail.py index f8a272b53..2bb0f014e 100644 --- a/src/agents/guardrail.py +++ b/src/agents/guardrail.py @@ -244,7 +244,7 @@ def decorator( return InputGuardrail( guardrail_function=f, # If not set, guardrail name uses the function’s name by default. - name=name if name else f.__name__ + name=name if name else f.__name__, ) if func is not None: diff --git a/src/agents/handoffs.py b/src/agents/handoffs.py index cb2752e4f..1ad8831f0 100644 --- a/src/agents/handoffs.py +++ b/src/agents/handoffs.py @@ -18,12 +18,15 @@ from .util._types import MaybeAwaitable if TYPE_CHECKING: - from .agent import Agent + from .agent import Agent, AgentBase # The handoff input type is the type of data passed when the agent is called via a handoff. THandoffInput = TypeVar("THandoffInput", default=Any) +# The agent type that the handoff returns +TAgent = TypeVar("TAgent", bound="AgentBase[Any]", default="Agent[Any]") + OnHandoffWithInput = Callable[[RunContextWrapper[Any], THandoffInput], Any] OnHandoffWithoutInput = Callable[[RunContextWrapper[Any]], Any] @@ -52,7 +55,7 @@ class HandoffInputData: @dataclass -class Handoff(Generic[TContext]): +class Handoff(Generic[TContext, TAgent]): """A handoff is when an agent delegates a task to another agent. For example, in a customer support scenario you might have a "triage agent" that determines which agent should handle the user's request, and sub-agents that specialize in different @@ -69,7 +72,7 @@ class Handoff(Generic[TContext]): """The JSON schema for the handoff input. Can be empty if the handoff does not take an input. """ - on_invoke_handoff: Callable[[RunContextWrapper[Any], str], Awaitable[Agent[TContext]]] + on_invoke_handoff: Callable[[RunContextWrapper[Any], str], Awaitable[TAgent]] """The function that invokes the handoff. The parameters passed are: 1. The handoff run context 2. The arguments from the LLM, as a JSON string. Empty string if input_json_schema is empty. @@ -100,20 +103,22 @@ class Handoff(Generic[TContext]): True, as it increases the likelihood of correct JSON input. """ - is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True + is_enabled: bool | Callable[[RunContextWrapper[Any], AgentBase[Any]], MaybeAwaitable[bool]] = ( + True + ) """Whether the handoff is enabled. Either a bool or a Callable that takes the run context and agent and returns whether the handoff is enabled. You can use this to dynamically enable/disable a handoff based on your context/state.""" - def get_transfer_message(self, agent: Agent[Any]) -> str: + def get_transfer_message(self, agent: AgentBase[Any]) -> str: return json.dumps({"assistant": agent.name}) @classmethod - def default_tool_name(cls, agent: Agent[Any]) -> str: + def default_tool_name(cls, agent: AgentBase[Any]) -> str: return _transforms.transform_string_function_style(f"transfer_to_{agent.name}") @classmethod - def default_tool_description(cls, agent: Agent[Any]) -> str: + def default_tool_description(cls, agent: AgentBase[Any]) -> str: return ( f"Handoff to the {agent.name} agent to handle the request. " f"{agent.handoff_description or ''}" @@ -128,7 +133,7 @@ def handoff( tool_description_override: str | None = None, input_filter: Callable[[HandoffInputData], HandoffInputData] | None = None, is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, -) -> Handoff[TContext]: ... +) -> Handoff[TContext, Agent[TContext]]: ... @overload @@ -141,7 +146,7 @@ def handoff( tool_name_override: str | None = None, input_filter: Callable[[HandoffInputData], HandoffInputData] | None = None, is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, -) -> Handoff[TContext]: ... +) -> Handoff[TContext, Agent[TContext]]: ... @overload @@ -153,7 +158,7 @@ def handoff( tool_name_override: str | None = None, input_filter: Callable[[HandoffInputData], HandoffInputData] | None = None, is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, -) -> Handoff[TContext]: ... +) -> Handoff[TContext, Agent[TContext]]: ... def handoff( @@ -163,8 +168,9 @@ def handoff( on_handoff: OnHandoffWithInput[THandoffInput] | OnHandoffWithoutInput | None = None, input_type: type[THandoffInput] | None = None, input_filter: Callable[[HandoffInputData], HandoffInputData] | None = None, - is_enabled: bool | Callable[[RunContextWrapper[Any], Agent[Any]], MaybeAwaitable[bool]] = True, -) -> Handoff[TContext]: + is_enabled: bool + | Callable[[RunContextWrapper[Any], Agent[TContext]], MaybeAwaitable[bool]] = True, +) -> Handoff[TContext, Agent[TContext]]: """Create a handoff from an agent. Args: @@ -202,7 +208,7 @@ def handoff( async def _invoke_handoff( ctx: RunContextWrapper[Any], input_json: str | None = None - ) -> Agent[Any]: + ) -> Agent[TContext]: if input_type is not None and type_adapter is not None: if input_json is None: _error_tracing.attach_error_to_current_span( @@ -239,6 +245,18 @@ async def _invoke_handoff( # If there is a need, we can make this configurable in the future input_json_schema = ensure_strict_json_schema(input_json_schema) + async def _is_enabled(ctx: RunContextWrapper[Any], agent_base: AgentBase[Any]) -> bool: + from .agent import Agent + + assert callable(is_enabled), "is_enabled must be non-null here" + assert isinstance(agent_base, Agent), "Can't handoff to a non-Agent" + result = is_enabled(ctx, agent_base) + + if inspect.isawaitable(result): + return await result + + return result + return Handoff( tool_name=tool_name, tool_description=tool_description, @@ -246,5 +264,5 @@ async def _invoke_handoff( on_invoke_handoff=_invoke_handoff, input_filter=input_filter, agent_name=agent.name, - is_enabled=is_enabled, + is_enabled=_is_enabled if callable(is_enabled) else is_enabled, ) diff --git a/src/agents/models/chatcmpl_converter.py b/src/agents/models/chatcmpl_converter.py index d3c71c24e..351dc5db7 100644 --- a/src/agents/models/chatcmpl_converter.py +++ b/src/agents/models/chatcmpl_converter.py @@ -484,7 +484,7 @@ def tool_to_openai(cls, tool: Tool) -> ChatCompletionToolParam: ) @classmethod - def convert_handoff_tool(cls, handoff: Handoff[Any]) -> ChatCompletionToolParam: + def convert_handoff_tool(cls, handoff: Handoff[Any, Any]) -> ChatCompletionToolParam: return { "type": "function", "function": { diff --git a/src/agents/models/openai_responses.py b/src/agents/models/openai_responses.py index 76c67903c..f6da60b08 100644 --- a/src/agents/models/openai_responses.py +++ b/src/agents/models/openai_responses.py @@ -370,7 +370,7 @@ def get_response_format( def convert_tools( cls, tools: list[Tool], - handoffs: list[Handoff[Any]], + handoffs: list[Handoff[Any, Any]], ) -> ConvertedTools: converted_tools: list[ToolParam] = [] includes: list[ResponseIncludable] = [] diff --git a/src/agents/realtime/__init__.py b/src/agents/realtime/__init__.py index 0e3e12f75..49c131389 100644 --- a/src/agents/realtime/__init__.py +++ b/src/agents/realtime/__init__.py @@ -30,6 +30,7 @@ RealtimeToolEnd, RealtimeToolStart, ) +from .handoffs import realtime_handoff from .items import ( AssistantMessageItem, AssistantText, @@ -92,6 +93,8 @@ "RealtimeAgentHooks", "RealtimeRunHooks", "RealtimeRunner", + # Handoffs + "realtime_handoff", # Config "RealtimeAudioFormat", "RealtimeClientMessage", diff --git a/src/agents/realtime/agent.py b/src/agents/realtime/agent.py index 9bbed8cb4..30e80a95b 100644 --- a/src/agents/realtime/agent.py +++ b/src/agents/realtime/agent.py @@ -3,10 +3,11 @@ import dataclasses import inspect from collections.abc import Awaitable -from dataclasses import dataclass +from dataclasses import dataclass, field from typing import Any, Callable, Generic, cast from ..agent import AgentBase +from ..handoffs import Handoff from ..lifecycle import AgentHooksBase, RunHooksBase from ..logger import logger from ..run_context import RunContextWrapper, TContext @@ -53,6 +54,14 @@ class RealtimeAgent(AgentBase, Generic[TContext]): return a string. """ + handoffs: list[RealtimeAgent[Any] | Handoff[TContext, RealtimeAgent[Any]]] = field( + default_factory=list + ) + """Handoffs are sub-agents that the agent can delegate to. You can provide a list of handoffs, + and the agent can choose to delegate to them if relevant. Allows for separation of concerns and + modularity. + """ + hooks: RealtimeAgentHooks | None = None """A class that receives callbacks on various lifecycle events for this agent. """ diff --git a/src/agents/realtime/config.py b/src/agents/realtime/config.py index 7f874cfb0..6e7e3f4be 100644 --- a/src/agents/realtime/config.py +++ b/src/agents/realtime/config.py @@ -9,6 +9,7 @@ from typing_extensions import NotRequired, TypeAlias, TypedDict from ..guardrail import OutputGuardrail +from ..handoffs import Handoff from ..model_settings import ToolChoice from ..tool import Tool @@ -71,6 +72,7 @@ class RealtimeSessionModelSettings(TypedDict): tool_choice: NotRequired[ToolChoice] tools: NotRequired[list[Tool]] + handoffs: NotRequired[list[Handoff]] tracing: NotRequired[RealtimeModelTracingConfig | None] diff --git a/src/agents/realtime/handoffs.py b/src/agents/realtime/handoffs.py new file mode 100644 index 000000000..a3e5151f6 --- /dev/null +++ b/src/agents/realtime/handoffs.py @@ -0,0 +1,165 @@ +from __future__ import annotations + +import inspect +from typing import TYPE_CHECKING, Any, Callable, cast, overload + +from pydantic import TypeAdapter +from typing_extensions import TypeVar + +from ..exceptions import ModelBehaviorError, UserError +from ..handoffs import Handoff +from ..run_context import RunContextWrapper, TContext +from ..strict_schema import ensure_strict_json_schema +from ..tracing.spans import SpanError +from ..util import _error_tracing, _json +from ..util._types import MaybeAwaitable + +if TYPE_CHECKING: + from ..agent import AgentBase + from . import RealtimeAgent + + +# The handoff input type is the type of data passed when the agent is called via a handoff. +THandoffInput = TypeVar("THandoffInput", default=Any) + +OnHandoffWithInput = Callable[[RunContextWrapper[Any], THandoffInput], Any] +OnHandoffWithoutInput = Callable[[RunContextWrapper[Any]], Any] + + +@overload +def realtime_handoff( + agent: RealtimeAgent[TContext], + *, + tool_name_override: str | None = None, + tool_description_override: str | None = None, + is_enabled: bool + | Callable[[RunContextWrapper[Any], RealtimeAgent[Any]], MaybeAwaitable[bool]] = True, +) -> Handoff[TContext, RealtimeAgent[TContext]]: ... + + +@overload +def realtime_handoff( + agent: RealtimeAgent[TContext], + *, + on_handoff: OnHandoffWithInput[THandoffInput], + input_type: type[THandoffInput], + tool_description_override: str | None = None, + tool_name_override: str | None = None, + is_enabled: bool + | Callable[[RunContextWrapper[Any], RealtimeAgent[Any]], MaybeAwaitable[bool]] = True, +) -> Handoff[TContext, RealtimeAgent[TContext]]: ... + + +@overload +def realtime_handoff( + agent: RealtimeAgent[TContext], + *, + on_handoff: OnHandoffWithoutInput, + tool_description_override: str | None = None, + tool_name_override: str | None = None, + is_enabled: bool + | Callable[[RunContextWrapper[Any], RealtimeAgent[Any]], MaybeAwaitable[bool]] = True, +) -> Handoff[TContext, RealtimeAgent[TContext]]: ... + + +def realtime_handoff( + agent: RealtimeAgent[TContext], + tool_name_override: str | None = None, + tool_description_override: str | None = None, + on_handoff: OnHandoffWithInput[THandoffInput] | OnHandoffWithoutInput | None = None, + input_type: type[THandoffInput] | None = None, + is_enabled: bool + | Callable[[RunContextWrapper[Any], RealtimeAgent[Any]], MaybeAwaitable[bool]] = True, +) -> Handoff[TContext, RealtimeAgent[TContext]]: + """Create a handoff from a RealtimeAgent. + + Args: + agent: The RealtimeAgent to handoff to, or a function that returns a RealtimeAgent. + tool_name_override: Optional override for the name of the tool that represents the handoff. + tool_description_override: Optional override for the description of the tool that + represents the handoff. + on_handoff: A function that runs when the handoff is invoked. + input_type: the type of the input to the handoff. If provided, the input will be validated + against this type. Only relevant if you pass a function that takes an input. + is_enabled: Whether the handoff is enabled. Can be a bool or a callable that takes the run + context and agent and returns whether the handoff is enabled. Disabled handoffs are + hidden from the LLM at runtime. + + Note: input_filter is not supported for RealtimeAgent handoffs. + """ + assert (on_handoff and input_type) or not (on_handoff and input_type), ( + "You must provide either both on_handoff and input_type, or neither" + ) + type_adapter: TypeAdapter[Any] | None + if input_type is not None: + assert callable(on_handoff), "on_handoff must be callable" + sig = inspect.signature(on_handoff) + if len(sig.parameters) != 2: + raise UserError("on_handoff must take two arguments: context and input") + + type_adapter = TypeAdapter(input_type) + input_json_schema = type_adapter.json_schema() + else: + type_adapter = None + input_json_schema = {} + if on_handoff is not None: + sig = inspect.signature(on_handoff) + if len(sig.parameters) != 1: + raise UserError("on_handoff must take one argument: context") + + async def _invoke_handoff( + ctx: RunContextWrapper[Any], input_json: str | None = None + ) -> RealtimeAgent[TContext]: + if input_type is not None and type_adapter is not None: + if input_json is None: + _error_tracing.attach_error_to_current_span( + SpanError( + message="Handoff function expected non-null input, but got None", + data={"details": "input_json is None"}, + ) + ) + raise ModelBehaviorError("Handoff function expected non-null input, but got None") + + validated_input = _json.validate_json( + json_str=input_json, + type_adapter=type_adapter, + partial=False, + ) + input_func = cast(OnHandoffWithInput[THandoffInput], on_handoff) + if inspect.iscoroutinefunction(input_func): + await input_func(ctx, validated_input) + else: + input_func(ctx, validated_input) + elif on_handoff is not None: + no_input_func = cast(OnHandoffWithoutInput, on_handoff) + if inspect.iscoroutinefunction(no_input_func): + await no_input_func(ctx) + else: + no_input_func(ctx) + + return agent + + tool_name = tool_name_override or Handoff.default_tool_name(agent) + tool_description = tool_description_override or Handoff.default_tool_description(agent) + + # Always ensure the input JSON schema is in strict mode + # If there is a need, we can make this configurable in the future + input_json_schema = ensure_strict_json_schema(input_json_schema) + + async def _is_enabled(ctx: RunContextWrapper[Any], agent_base: AgentBase[Any]) -> bool: + assert callable(is_enabled), "is_enabled must be non-null here" + assert isinstance(agent_base, RealtimeAgent), "Can't handoff to a non-RealtimeAgent" + result = is_enabled(ctx, agent_base) + if inspect.isawaitable(result): + return await result + return result + + return Handoff( + tool_name=tool_name, + tool_description=tool_description, + input_json_schema=input_json_schema, + on_invoke_handoff=_invoke_handoff, + input_filter=None, # Not supported for RealtimeAgent handoffs + agent_name=agent.name, + is_enabled=_is_enabled if callable(is_enabled) else is_enabled, + ) diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index 129d89c49..bbffaeefa 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -56,6 +56,7 @@ from typing_extensions import assert_never from websockets.asyncio.client import ClientConnection +from agents.handoffs import Handoff from agents.tool import FunctionTool, Tool from agents.util._types import MaybeAwaitable @@ -519,10 +520,14 @@ def _get_session_config( "tool_choice", DEFAULT_MODEL_SETTINGS.get("tool_choice"), # type: ignore ), - tools=self._tools_to_session_tools(model_settings.get("tools", [])), + tools=self._tools_to_session_tools( + tools=model_settings.get("tools", []), handoffs=model_settings.get("handoffs", []) + ), ) - def _tools_to_session_tools(self, tools: list[Tool]) -> list[OpenAISessionTool]: + def _tools_to_session_tools( + self, tools: list[Tool], handoffs: list[Handoff] + ) -> list[OpenAISessionTool]: converted_tools: list[OpenAISessionTool] = [] for tool in tools: if not isinstance(tool, FunctionTool): @@ -535,6 +540,17 @@ def _tools_to_session_tools(self, tools: list[Tool]) -> list[OpenAISessionTool]: type="function", ) ) + + for handoff in handoffs: + converted_tools.append( + OpenAISessionTool( + name=handoff.tool_name, + description=handoff.tool_description, + parameters=handoff.input_json_schema, + type="function", + ) + ) + return converted_tools diff --git a/src/agents/realtime/session.py b/src/agents/realtime/session.py index 07791c8d8..6df35b438 100644 --- a/src/agents/realtime/session.py +++ b/src/agents/realtime/session.py @@ -1,6 +1,7 @@ from __future__ import annotations import asyncio +import inspect from collections.abc import AsyncIterator from typing import Any, cast @@ -31,6 +32,7 @@ RealtimeToolEnd, RealtimeToolStart, ) +from .handoffs import realtime_handoff from .items import InputAudio, InputText, RealtimeItem from .model import RealtimeModel, RealtimeModelConfig, RealtimeModelListener from .model_events import ( @@ -255,9 +257,12 @@ async def _put_event(self, event: RealtimeSessionEvent) -> None: async def _handle_tool_call(self, event: RealtimeModelToolCallEvent) -> None: """Handle a tool call event.""" - all_tools = await self._current_agent.get_all_tools(self._context_wrapper) - function_map = {tool.name: tool for tool in all_tools if isinstance(tool, FunctionTool)} - handoff_map = {tool.name: tool for tool in all_tools if isinstance(tool, Handoff)} + tools, handoffs = await asyncio.gather( + self._current_agent.get_all_tools(self._context_wrapper), + self._get_handoffs(self._current_agent, self._context_wrapper), + ) + function_map = {tool.name: tool for tool in tools if isinstance(tool, FunctionTool)} + handoff_map = {handoff.tool_name: handoff for handoff in handoffs} if event.name in function_map: await self._put_event( @@ -303,7 +308,9 @@ async def _handle_tool_call(self, event: RealtimeModelToolCallEvent) -> None: # Execute the handoff to get the new agent result = await handoff.on_invoke_handoff(self._context_wrapper, event.arguments) if not isinstance(result, RealtimeAgent): - raise UserError(f"Handoff {handoff.name} returned invalid result: {type(result)}") + raise UserError( + f"Handoff {handoff.tool_name} returned invalid result: {type(result)}" + ) # Store previous agent for event previous_agent = self._current_agent @@ -492,11 +499,37 @@ async def _get__updated_model_settings( self, new_agent: RealtimeAgent ) -> RealtimeSessionModelSettings: updated_settings: RealtimeSessionModelSettings = {} - instructions, tools = await asyncio.gather( + instructions, tools, handoffs = await asyncio.gather( new_agent.get_system_prompt(self._context_wrapper), new_agent.get_all_tools(self._context_wrapper), + self._get_handoffs(new_agent, self._context_wrapper), ) updated_settings["instructions"] = instructions or "" updated_settings["tools"] = tools or [] + updated_settings["handoffs"] = handoffs or [] return updated_settings + + @classmethod + async def _get_handoffs( + cls, agent: RealtimeAgent[Any], context_wrapper: RunContextWrapper[Any] + ) -> list[Handoff[Any, RealtimeAgent[Any]]]: + handoffs: list[Handoff[Any, RealtimeAgent[Any]]] = [] + for handoff_item in agent.handoffs: + if isinstance(handoff_item, Handoff): + handoffs.append(handoff_item) + elif isinstance(handoff_item, RealtimeAgent): + handoffs.append(realtime_handoff(handoff_item)) + + async def _check_handoff_enabled(handoff_obj: Handoff[Any, RealtimeAgent[Any]]) -> bool: + attr = handoff_obj.is_enabled + if isinstance(attr, bool): + return attr + res = attr(context_wrapper, agent) + if inspect.isawaitable(res): + return await res + return res + + results = await asyncio.gather(*(_check_handoff_enabled(h) for h in handoffs)) + enabled = [h for h, ok in zip(handoffs, results) if ok] + return enabled diff --git a/tests/realtime/test_realtime_handoffs.py b/tests/realtime/test_realtime_handoffs.py new file mode 100644 index 000000000..07385fe20 --- /dev/null +++ b/tests/realtime/test_realtime_handoffs.py @@ -0,0 +1,96 @@ +"""Tests for realtime handoff functionality.""" + +from unittest.mock import Mock + +import pytest + +from agents import Agent +from agents.realtime import RealtimeAgent, realtime_handoff + + +def test_realtime_handoff_creation(): + """Test basic realtime handoff creation.""" + realtime_agent = RealtimeAgent(name="test_agent") + handoff_obj = realtime_handoff(realtime_agent) + + assert handoff_obj.agent_name == "test_agent" + assert handoff_obj.tool_name == "transfer_to_test_agent" + assert handoff_obj.input_filter is None # Should not support input filters + assert handoff_obj.is_enabled is True + + +def test_realtime_handoff_with_custom_params(): + """Test realtime handoff with custom parameters.""" + realtime_agent = RealtimeAgent( + name="helper_agent", + handoff_description="Helps with general tasks", + ) + + handoff_obj = realtime_handoff( + realtime_agent, + tool_name_override="custom_handoff", + tool_description_override="Custom handoff description", + is_enabled=False, + ) + + assert handoff_obj.agent_name == "helper_agent" + assert handoff_obj.tool_name == "custom_handoff" + assert handoff_obj.tool_description == "Custom handoff description" + assert handoff_obj.is_enabled is False + + +@pytest.mark.asyncio +async def test_realtime_handoff_execution(): + """Test that realtime handoff returns the correct agent.""" + realtime_agent = RealtimeAgent(name="target_agent") + handoff_obj = realtime_handoff(realtime_agent) + + # Mock context + mock_context = Mock() + + # Execute handoff + result = await handoff_obj.on_invoke_handoff(mock_context, "") + + assert result is realtime_agent + assert isinstance(result, RealtimeAgent) + + +def test_realtime_handoff_with_on_handoff_callback(): + """Test realtime handoff with custom on_handoff callback.""" + realtime_agent = RealtimeAgent(name="callback_agent") + callback_called = [] + + def on_handoff_callback(ctx): + callback_called.append(True) + + handoff_obj = realtime_handoff( + realtime_agent, + on_handoff=on_handoff_callback, + ) + + assert handoff_obj.agent_name == "callback_agent" + + +def test_regular_agent_handoff_still_works(): + """Test that regular Agent handoffs still work with the new generic types.""" + from agents import handoff + + regular_agent = Agent(name="regular_agent") + handoff_obj = handoff(regular_agent) + + assert handoff_obj.agent_name == "regular_agent" + assert handoff_obj.tool_name == "transfer_to_regular_agent" + # Regular agent handoffs should support input filters + assert hasattr(handoff_obj, "input_filter") + + +def test_type_annotations_work(): + """Test that type annotations work correctly.""" + from agents.handoffs import Handoff + from agents.realtime.handoffs import realtime_handoff + + realtime_agent = RealtimeAgent(name="typed_agent") + handoff_obj = realtime_handoff(realtime_agent) + + # This should be typed as Handoff[Any, RealtimeAgent[Any]] + assert isinstance(handoff_obj, Handoff) diff --git a/tests/realtime/test_session.py b/tests/realtime/test_session.py index 4cc0dae6b..d95e4e33d 100644 --- a/tests/realtime/test_session.py +++ b/tests/realtime/test_session.py @@ -1,5 +1,5 @@ from typing import cast -from unittest.mock import AsyncMock, Mock +from unittest.mock import AsyncMock, Mock, PropertyMock import pytest @@ -101,6 +101,8 @@ async def close(self): def mock_agent(): agent = Mock(spec=RealtimeAgent) agent.get_all_tools = AsyncMock(return_value=[]) + + type(agent).handoffs = PropertyMock(return_value=[]) return agent @@ -794,30 +796,26 @@ async def test_function_tool_with_multiple_tools_available(self, mock_model, moc assert sent_output == "result_two" @pytest.mark.asyncio - async def test_handoff_tool_handling(self, mock_model, mock_agent, mock_handoff): - """Test that handoff tools are properly handled""" - from unittest.mock import AsyncMock - - from agents.realtime.agent import RealtimeAgent - - # Create a mock new agent to be returned by handoff - mock_new_agent = Mock(spec=RealtimeAgent) - mock_new_agent.name = "new_agent" - mock_new_agent.instructions = "New agent instructions" - mock_new_agent.get_all_tools = AsyncMock(return_value=[]) - mock_new_agent.get_system_prompt = AsyncMock(return_value="New agent system prompt") - - # Set up handoff to return the new agent - mock_handoff.on_invoke_handoff = AsyncMock(return_value=mock_new_agent) - mock_handoff.name = "test_handoff" + async def test_handoff_tool_handling(self, mock_model): + first_agent = RealtimeAgent( + name="first_agent", + instructions="first_agent_instructions", + tools=[], + handoffs=[], + ) + second_agent = RealtimeAgent( + name="second_agent", + instructions="second_agent_instructions", + tools=[], + handoffs=[], + ) - # Set up agent to return handoff tool - mock_agent.get_all_tools.return_value = [mock_handoff] + first_agent.handoffs = [second_agent] - session = RealtimeSession(mock_model, mock_agent, None) + session = RealtimeSession(mock_model, first_agent, None) tool_call_event = RealtimeModelToolCallEvent( - name="test_handoff", call_id="call_789", arguments="{}" + name=Handoff.default_tool_name(second_agent), call_id="call_789", arguments="{}" ) await session._handle_tool_call(tool_call_event) @@ -829,7 +827,7 @@ async def test_handoff_tool_handling(self, mock_model, mock_agent, mock_handoff) assert session._event_queue.qsize() >= 1 # Verify agent was updated - assert session._current_agent == mock_new_agent + assert session._current_agent == second_agent @pytest.mark.asyncio async def test_unknown_tool_handling(self, mock_model, mock_agent, mock_function_tool): diff --git a/tests/test_handoff_tool.py b/tests/test_handoff_tool.py index 0f7fc2166..291f0a4f5 100644 --- a/tests/test_handoff_tool.py +++ b/tests/test_handoff_tool.py @@ -1,3 +1,4 @@ +import inspect import json from typing import Any @@ -318,6 +319,8 @@ def always_enabled(ctx: RunContextWrapper[Any], agent: Agent[Any]) -> bool: handoff_callable_enabled = handoff(agent, is_enabled=always_enabled) assert callable(handoff_callable_enabled.is_enabled) result = handoff_callable_enabled.is_enabled(RunContextWrapper(agent), agent) + assert inspect.isawaitable(result) + result = await result assert result is True # Test callable that returns False @@ -327,6 +330,8 @@ def always_disabled(ctx: RunContextWrapper[Any], agent: Agent[Any]) -> bool: handoff_callable_disabled = handoff(agent, is_enabled=always_disabled) assert callable(handoff_callable_disabled.is_enabled) result = handoff_callable_disabled.is_enabled(RunContextWrapper(agent), agent) + assert inspect.isawaitable(result) + result = await result assert result is False # Test async callable From b5d8c14eddc078df79d3c8b6d5af924da3aea313 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 15 Jul 2025 22:55:51 -0400 Subject: [PATCH 246/337] Realtime: move demo audio to separate thread --- examples/realtime/demo.py | 3 ++- examples/realtime/no_ui_demo.py | 3 ++- 2 files changed, 4 insertions(+), 2 deletions(-) diff --git a/examples/realtime/demo.py b/examples/realtime/demo.py index e366212d2..65ca63f27 100644 --- a/examples/realtime/demo.py +++ b/examples/realtime/demo.py @@ -93,7 +93,8 @@ async def _on_event(self, event: RealtimeSessionEvent) -> None: self.ui.add_transcript("Audio ended") elif event.type == "audio": np_audio = np.frombuffer(event.audio.data, dtype=np.int16) - self.ui.play_audio(np_audio) + # Play audio in a separate thread to avoid blocking the event loop + await asyncio.to_thread(self.ui.play_audio, np_audio) elif event.type == "audio_interrupted": self.ui.add_transcript("Audio interrupted") elif event.type == "error": diff --git a/examples/realtime/no_ui_demo.py b/examples/realtime/no_ui_demo.py index ff53fea84..096f9594f 100644 --- a/examples/realtime/no_ui_demo.py +++ b/examples/realtime/no_ui_demo.py @@ -150,7 +150,8 @@ async def _on_event(self, event: RealtimeSessionEvent) -> None: np_audio = np.frombuffer(event.audio.data, dtype=np.int16) if self.audio_player: try: - self.audio_player.write(np_audio) + # Push audio to separate thread so that it doesn't block the event loop + await asyncio.to_thread(self.audio_player.write, np_audio) except Exception as e: print(f"Audio playback error: {e}") elif event.type == "audio_interrupted": From d2e87a4f8f016a2b6424af4edb15468243b32ce8 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 15 Jul 2025 23:26:32 -0400 Subject: [PATCH 247/337] Realtime: move demo audio to separate thread --- examples/realtime/demo.py | 3 +- examples/realtime/no_ui_demo.py | 86 +++++++++++++++++++++++--- pyproject.toml | 2 +- src/agents/realtime/items.py | 11 +++- src/agents/realtime/openai_realtime.py | 2 +- uv.lock | 8 +-- 6 files changed, 97 insertions(+), 15 deletions(-) diff --git a/examples/realtime/demo.py b/examples/realtime/demo.py index e366212d2..65ca63f27 100644 --- a/examples/realtime/demo.py +++ b/examples/realtime/demo.py @@ -93,7 +93,8 @@ async def _on_event(self, event: RealtimeSessionEvent) -> None: self.ui.add_transcript("Audio ended") elif event.type == "audio": np_audio = np.frombuffer(event.audio.data, dtype=np.int16) - self.ui.play_audio(np_audio) + # Play audio in a separate thread to avoid blocking the event loop + await asyncio.to_thread(self.ui.play_audio, np_audio) elif event.type == "audio_interrupted": self.ui.add_transcript("Audio interrupted") elif event.type == "error": diff --git a/examples/realtime/no_ui_demo.py b/examples/realtime/no_ui_demo.py index ff53fea84..a84528872 100644 --- a/examples/realtime/no_ui_demo.py +++ b/examples/realtime/no_ui_demo.py @@ -1,5 +1,7 @@ import asyncio +import queue import sys +import threading import numpy as np import sounddevice as sd @@ -45,15 +47,76 @@ def __init__(self) -> None: self.audio_stream: sd.InputStream | None = None self.audio_player: sd.OutputStream | None = None self.recording = False + + # Audio output state for callback system + self.output_queue: queue.Queue[np.ndarray] = queue.Queue(maxsize=10) # Buffer more chunks + self.interrupt_event = threading.Event() + self.current_audio_chunk: np.ndarray | None = None + self.chunk_position = 0 + + def _output_callback(self, outdata: np.ndarray, frames: int, time, status) -> None: + """Callback for audio output - handles continuous audio stream from server.""" + if status: + print(f"Output callback status: {status}") + + # Check if we should clear the queue due to interrupt + if self.interrupt_event.is_set(): + # Clear the queue and current chunk state + while not self.output_queue.empty(): + try: + self.output_queue.get_nowait() + except queue.Empty: + break + self.current_audio_chunk = None + self.chunk_position = 0 + self.interrupt_event.clear() + outdata.fill(0) + return + + # Fill output buffer from queue and current chunk + outdata.fill(0) # Start with silence + samples_filled = 0 + + while samples_filled < len(outdata): + # If we don't have a current chunk, try to get one from queue + if self.current_audio_chunk is None: + try: + self.current_audio_chunk = self.output_queue.get_nowait() + self.chunk_position = 0 + except queue.Empty: + # No more audio data available - this causes choppiness + # Uncomment next line to debug underruns: + # print(f"Audio underrun: {samples_filled}/{len(outdata)} samples filled") + break + + # Copy data from current chunk to output buffer + remaining_output = len(outdata) - samples_filled + remaining_chunk = len(self.current_audio_chunk) - self.chunk_position + samples_to_copy = min(remaining_output, remaining_chunk) + + if samples_to_copy > 0: + chunk_data = self.current_audio_chunk[self.chunk_position:self.chunk_position + samples_to_copy] + # More efficient: direct assignment for mono audio instead of reshape + outdata[samples_filled:samples_filled + samples_to_copy, 0] = chunk_data + samples_filled += samples_to_copy + self.chunk_position += samples_to_copy + + # If we've used up the entire chunk, reset for next iteration + if self.chunk_position >= len(self.current_audio_chunk): + self.current_audio_chunk = None + self.chunk_position = 0 async def run(self) -> None: print("Connecting, may take a few seconds...") - # Initialize audio player + # Initialize audio player with callback + chunk_size = int(SAMPLE_RATE * CHUNK_LENGTH_S) self.audio_player = sd.OutputStream( channels=CHANNELS, samplerate=SAMPLE_RATE, dtype=FORMAT, + callback=self._output_callback, + blocksize=chunk_size, # Match our chunk timing for better alignment ) self.audio_player.start() @@ -146,15 +209,24 @@ async def _on_event(self, event: RealtimeSessionEvent) -> None: elif event.type == "audio_end": print("Audio ended") elif event.type == "audio": - # Play audio through speakers + # Enqueue audio for callback-based playback np_audio = np.frombuffer(event.audio.data, dtype=np.int16) - if self.audio_player: - try: - self.audio_player.write(np_audio) - except Exception as e: - print(f"Audio playback error: {e}") + try: + self.output_queue.put_nowait(np_audio) + except queue.Full: + # Queue is full - only drop if we have significant backlog + # This prevents aggressive dropping that could cause choppiness + if self.output_queue.qsize() > 8: # Keep some buffer + try: + self.output_queue.get_nowait() + self.output_queue.put_nowait(np_audio) + except queue.Empty: + pass + # If queue isn't too full, just skip this chunk to avoid blocking elif event.type == "audio_interrupted": print("Audio interrupted") + # Signal the output callback to clear its queue and state + self.interrupt_event.set() elif event.type == "error": print(f"Error: {event.error}") elif event.type == "history_updated": diff --git a/pyproject.toml b/pyproject.toml index b654f0c3d..df6915c35 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -7,7 +7,7 @@ requires-python = ">=3.9" license = "MIT" authors = [{ name = "OpenAI", email = "support@openai.com" }] dependencies = [ - "openai>=1.96.0, <2", + "openai>=1.96.1, <2", "pydantic>=2.10, <3", "griffe>=1.5.6, <2", "typing-extensions>=4.12.2, <5", diff --git a/src/agents/realtime/items.py b/src/agents/realtime/items.py index 4d618f3a9..fc05ebc51 100644 --- a/src/agents/realtime/items.py +++ b/src/agents/realtime/items.py @@ -30,6 +30,15 @@ class AssistantText(BaseModel): model_config = ConfigDict(extra="allow") +class AssistantAudio(BaseModel): + type: Literal["audio"] = "audio" + audio: str | None = None + transcript: str | None = None + + # Allow extra data + model_config = ConfigDict(extra="allow") + + class SystemMessageItem(BaseModel): item_id: str previous_item_id: str | None = None @@ -58,7 +67,7 @@ class AssistantMessageItem(BaseModel): type: Literal["message"] = "message" role: Literal["assistant"] = "assistant" status: Literal["in_progress", "completed", "incomplete"] | None = None - content: list[AssistantText] + content: list[Annotated[AssistantText | AssistantAudio, Field(discriminator="type")]] # Allow extra data model_config = ConfigDict(extra="allow") diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index bbffaeefa..9db53dae5 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -364,7 +364,7 @@ async def _handle_output_item(self, item: ConversationItem) -> None: "item_id": item.id or "", "type": item.type, "role": item.role, - "content": item.content, + "content": [content.model_dump() for content in item.content], "status": "in_progress", } ) diff --git a/uv.lock b/uv.lock index 3bff55bf9..918c3d0be 100644 --- a/uv.lock +++ b/uv.lock @@ -1461,7 +1461,7 @@ wheels = [ [[package]] name = "openai" -version = "1.96.0" +version = "1.96.1" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "anyio" }, @@ -1473,9 +1473,9 @@ dependencies = [ { name = "tqdm" }, { name = "typing-extensions" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/47/7d/dbc636786f8bf029600abdbf89da74706bdde37c4fe1471ce78834a7ecaa/openai-1.96.0.tar.gz", hash = "sha256:36e34b5aa2c9c0380c1934fa16ba53b3b3c6462450b4c008b98859b9b6424cf7", size = 488898, upload-time = "2025-07-15T15:56:52.853Z" } +sdist = { url = "https://files.pythonhosted.org/packages/2f/b5/18fd5e1b6b6c7dca52d60307b3637f9e9e3206a8041a9c8028985dbc6260/openai-1.96.1.tar.gz", hash = "sha256:6d505b5cc550e036bfa3fe99d6cff565b11491d12378d4c353f92ef72b0a408a", size = 489065, upload-time = "2025-07-15T21:39:37.215Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/dc/63/e29319a52449b7ac4c3a13a1448a9fa326aa1263478eb4c4a9bcbbe95648/openai-1.96.0-py3-none-any.whl", hash = "sha256:4dee023520f8a70ddeaa9f4d6fb247e6dcafd79d2ebb415e3f85932d95aa64a0", size = 757092, upload-time = "2025-07-15T15:56:50.387Z" }, + { url = "https://files.pythonhosted.org/packages/4f/57/325bbdbdc27b47309be35cb4e0eb8980b0c1bc997194c797c3691d88ae41/openai-1.96.1-py3-none-any.whl", hash = "sha256:0afaab2019bae8e145e7a1baf6953167084f019dd15042c65edd117398c1eb1c", size = 757454, upload-time = "2025-07-15T21:39:34.517Z" }, ] [[package]] @@ -1539,7 +1539,7 @@ requires-dist = [ { name = "litellm", marker = "extra == 'litellm'", specifier = ">=1.67.4.post1,<2" }, { name = "mcp", marker = "python_full_version >= '3.10'", specifier = ">=1.9.4,<2" }, { name = "numpy", marker = "python_full_version >= '3.10' and extra == 'voice'", specifier = ">=2.2.0,<3" }, - { name = "openai", specifier = ">=1.96.0,<2" }, + { name = "openai", specifier = ">=1.96.1,<2" }, { name = "pydantic", specifier = ">=2.10,<3" }, { name = "requests", specifier = ">=2.0,<3" }, { name = "types-requests", specifier = ">=2.0,<3" }, From 937437da7b8f349d532999b0c06eb8241c4ea9da Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 15 Jul 2025 23:35:24 -0400 Subject: [PATCH 248/337] Realtime: move demo audio to separate thread --- examples/realtime/demo.py | 3 +- examples/realtime/no_ui_demo.py | 86 +++++++++++++++++++++++--- pyproject.toml | 2 +- src/agents/realtime/items.py | 11 +++- src/agents/realtime/openai_realtime.py | 2 +- uv.lock | 8 +-- 6 files changed, 97 insertions(+), 15 deletions(-) diff --git a/examples/realtime/demo.py b/examples/realtime/demo.py index e366212d2..65ca63f27 100644 --- a/examples/realtime/demo.py +++ b/examples/realtime/demo.py @@ -93,7 +93,8 @@ async def _on_event(self, event: RealtimeSessionEvent) -> None: self.ui.add_transcript("Audio ended") elif event.type == "audio": np_audio = np.frombuffer(event.audio.data, dtype=np.int16) - self.ui.play_audio(np_audio) + # Play audio in a separate thread to avoid blocking the event loop + await asyncio.to_thread(self.ui.play_audio, np_audio) elif event.type == "audio_interrupted": self.ui.add_transcript("Audio interrupted") elif event.type == "error": diff --git a/examples/realtime/no_ui_demo.py b/examples/realtime/no_ui_demo.py index ff53fea84..a84528872 100644 --- a/examples/realtime/no_ui_demo.py +++ b/examples/realtime/no_ui_demo.py @@ -1,5 +1,7 @@ import asyncio +import queue import sys +import threading import numpy as np import sounddevice as sd @@ -45,15 +47,76 @@ def __init__(self) -> None: self.audio_stream: sd.InputStream | None = None self.audio_player: sd.OutputStream | None = None self.recording = False + + # Audio output state for callback system + self.output_queue: queue.Queue[np.ndarray] = queue.Queue(maxsize=10) # Buffer more chunks + self.interrupt_event = threading.Event() + self.current_audio_chunk: np.ndarray | None = None + self.chunk_position = 0 + + def _output_callback(self, outdata: np.ndarray, frames: int, time, status) -> None: + """Callback for audio output - handles continuous audio stream from server.""" + if status: + print(f"Output callback status: {status}") + + # Check if we should clear the queue due to interrupt + if self.interrupt_event.is_set(): + # Clear the queue and current chunk state + while not self.output_queue.empty(): + try: + self.output_queue.get_nowait() + except queue.Empty: + break + self.current_audio_chunk = None + self.chunk_position = 0 + self.interrupt_event.clear() + outdata.fill(0) + return + + # Fill output buffer from queue and current chunk + outdata.fill(0) # Start with silence + samples_filled = 0 + + while samples_filled < len(outdata): + # If we don't have a current chunk, try to get one from queue + if self.current_audio_chunk is None: + try: + self.current_audio_chunk = self.output_queue.get_nowait() + self.chunk_position = 0 + except queue.Empty: + # No more audio data available - this causes choppiness + # Uncomment next line to debug underruns: + # print(f"Audio underrun: {samples_filled}/{len(outdata)} samples filled") + break + + # Copy data from current chunk to output buffer + remaining_output = len(outdata) - samples_filled + remaining_chunk = len(self.current_audio_chunk) - self.chunk_position + samples_to_copy = min(remaining_output, remaining_chunk) + + if samples_to_copy > 0: + chunk_data = self.current_audio_chunk[self.chunk_position:self.chunk_position + samples_to_copy] + # More efficient: direct assignment for mono audio instead of reshape + outdata[samples_filled:samples_filled + samples_to_copy, 0] = chunk_data + samples_filled += samples_to_copy + self.chunk_position += samples_to_copy + + # If we've used up the entire chunk, reset for next iteration + if self.chunk_position >= len(self.current_audio_chunk): + self.current_audio_chunk = None + self.chunk_position = 0 async def run(self) -> None: print("Connecting, may take a few seconds...") - # Initialize audio player + # Initialize audio player with callback + chunk_size = int(SAMPLE_RATE * CHUNK_LENGTH_S) self.audio_player = sd.OutputStream( channels=CHANNELS, samplerate=SAMPLE_RATE, dtype=FORMAT, + callback=self._output_callback, + blocksize=chunk_size, # Match our chunk timing for better alignment ) self.audio_player.start() @@ -146,15 +209,24 @@ async def _on_event(self, event: RealtimeSessionEvent) -> None: elif event.type == "audio_end": print("Audio ended") elif event.type == "audio": - # Play audio through speakers + # Enqueue audio for callback-based playback np_audio = np.frombuffer(event.audio.data, dtype=np.int16) - if self.audio_player: - try: - self.audio_player.write(np_audio) - except Exception as e: - print(f"Audio playback error: {e}") + try: + self.output_queue.put_nowait(np_audio) + except queue.Full: + # Queue is full - only drop if we have significant backlog + # This prevents aggressive dropping that could cause choppiness + if self.output_queue.qsize() > 8: # Keep some buffer + try: + self.output_queue.get_nowait() + self.output_queue.put_nowait(np_audio) + except queue.Empty: + pass + # If queue isn't too full, just skip this chunk to avoid blocking elif event.type == "audio_interrupted": print("Audio interrupted") + # Signal the output callback to clear its queue and state + self.interrupt_event.set() elif event.type == "error": print(f"Error: {event.error}") elif event.type == "history_updated": diff --git a/pyproject.toml b/pyproject.toml index b654f0c3d..df6915c35 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -7,7 +7,7 @@ requires-python = ">=3.9" license = "MIT" authors = [{ name = "OpenAI", email = "support@openai.com" }] dependencies = [ - "openai>=1.96.0, <2", + "openai>=1.96.1, <2", "pydantic>=2.10, <3", "griffe>=1.5.6, <2", "typing-extensions>=4.12.2, <5", diff --git a/src/agents/realtime/items.py b/src/agents/realtime/items.py index 4d618f3a9..fc05ebc51 100644 --- a/src/agents/realtime/items.py +++ b/src/agents/realtime/items.py @@ -30,6 +30,15 @@ class AssistantText(BaseModel): model_config = ConfigDict(extra="allow") +class AssistantAudio(BaseModel): + type: Literal["audio"] = "audio" + audio: str | None = None + transcript: str | None = None + + # Allow extra data + model_config = ConfigDict(extra="allow") + + class SystemMessageItem(BaseModel): item_id: str previous_item_id: str | None = None @@ -58,7 +67,7 @@ class AssistantMessageItem(BaseModel): type: Literal["message"] = "message" role: Literal["assistant"] = "assistant" status: Literal["in_progress", "completed", "incomplete"] | None = None - content: list[AssistantText] + content: list[Annotated[AssistantText | AssistantAudio, Field(discriminator="type")]] # Allow extra data model_config = ConfigDict(extra="allow") diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index bbffaeefa..9db53dae5 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -364,7 +364,7 @@ async def _handle_output_item(self, item: ConversationItem) -> None: "item_id": item.id or "", "type": item.type, "role": item.role, - "content": item.content, + "content": [content.model_dump() for content in item.content], "status": "in_progress", } ) diff --git a/uv.lock b/uv.lock index 3bff55bf9..918c3d0be 100644 --- a/uv.lock +++ b/uv.lock @@ -1461,7 +1461,7 @@ wheels = [ [[package]] name = "openai" -version = "1.96.0" +version = "1.96.1" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "anyio" }, @@ -1473,9 +1473,9 @@ dependencies = [ { name = "tqdm" }, { name = "typing-extensions" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/47/7d/dbc636786f8bf029600abdbf89da74706bdde37c4fe1471ce78834a7ecaa/openai-1.96.0.tar.gz", hash = "sha256:36e34b5aa2c9c0380c1934fa16ba53b3b3c6462450b4c008b98859b9b6424cf7", size = 488898, upload-time = "2025-07-15T15:56:52.853Z" } +sdist = { url = "https://files.pythonhosted.org/packages/2f/b5/18fd5e1b6b6c7dca52d60307b3637f9e9e3206a8041a9c8028985dbc6260/openai-1.96.1.tar.gz", hash = "sha256:6d505b5cc550e036bfa3fe99d6cff565b11491d12378d4c353f92ef72b0a408a", size = 489065, upload-time = "2025-07-15T21:39:37.215Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/dc/63/e29319a52449b7ac4c3a13a1448a9fa326aa1263478eb4c4a9bcbbe95648/openai-1.96.0-py3-none-any.whl", hash = "sha256:4dee023520f8a70ddeaa9f4d6fb247e6dcafd79d2ebb415e3f85932d95aa64a0", size = 757092, upload-time = "2025-07-15T15:56:50.387Z" }, + { url = "https://files.pythonhosted.org/packages/4f/57/325bbdbdc27b47309be35cb4e0eb8980b0c1bc997194c797c3691d88ae41/openai-1.96.1-py3-none-any.whl", hash = "sha256:0afaab2019bae8e145e7a1baf6953167084f019dd15042c65edd117398c1eb1c", size = 757454, upload-time = "2025-07-15T21:39:34.517Z" }, ] [[package]] @@ -1539,7 +1539,7 @@ requires-dist = [ { name = "litellm", marker = "extra == 'litellm'", specifier = ">=1.67.4.post1,<2" }, { name = "mcp", marker = "python_full_version >= '3.10'", specifier = ">=1.9.4,<2" }, { name = "numpy", marker = "python_full_version >= '3.10' and extra == 'voice'", specifier = ">=2.2.0,<3" }, - { name = "openai", specifier = ">=1.96.0,<2" }, + { name = "openai", specifier = ">=1.96.1,<2" }, { name = "pydantic", specifier = ">=2.10,<3" }, { name = "requests", specifier = ">=2.0,<3" }, { name = "types-requests", specifier = ">=2.0,<3" }, From 004c3bffc0407c119c2a8d6b028f20511f472e04 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 15 Jul 2025 23:35:24 -0400 Subject: [PATCH 249/337] Realtime: move demo audio to separate thread --- examples/realtime/demo.py | 3 +- examples/realtime/no_ui_demo.py | 88 ++++++++++++++++++++++++-- pyproject.toml | 2 +- src/agents/realtime/items.py | 11 +++- src/agents/realtime/openai_realtime.py | 2 +- uv.lock | 8 +-- 6 files changed, 99 insertions(+), 15 deletions(-) diff --git a/examples/realtime/demo.py b/examples/realtime/demo.py index e366212d2..65ca63f27 100644 --- a/examples/realtime/demo.py +++ b/examples/realtime/demo.py @@ -93,7 +93,8 @@ async def _on_event(self, event: RealtimeSessionEvent) -> None: self.ui.add_transcript("Audio ended") elif event.type == "audio": np_audio = np.frombuffer(event.audio.data, dtype=np.int16) - self.ui.play_audio(np_audio) + # Play audio in a separate thread to avoid blocking the event loop + await asyncio.to_thread(self.ui.play_audio, np_audio) elif event.type == "audio_interrupted": self.ui.add_transcript("Audio interrupted") elif event.type == "error": diff --git a/examples/realtime/no_ui_demo.py b/examples/realtime/no_ui_demo.py index ff53fea84..e611c1494 100644 --- a/examples/realtime/no_ui_demo.py +++ b/examples/realtime/no_ui_demo.py @@ -1,5 +1,7 @@ import asyncio +import queue import sys +import threading import numpy as np import sounddevice as sd @@ -46,14 +48,77 @@ def __init__(self) -> None: self.audio_player: sd.OutputStream | None = None self.recording = False + # Audio output state for callback system + self.output_queue: queue.Queue[np.ndarray] = queue.Queue(maxsize=10) # Buffer more chunks + self.interrupt_event = threading.Event() + self.current_audio_chunk: np.ndarray | None = None + self.chunk_position = 0 + + def _output_callback(self, outdata: np.ndarray, frames: int, time, status) -> None: + """Callback for audio output - handles continuous audio stream from server.""" + if status: + print(f"Output callback status: {status}") + + # Check if we should clear the queue due to interrupt + if self.interrupt_event.is_set(): + # Clear the queue and current chunk state + while not self.output_queue.empty(): + try: + self.output_queue.get_nowait() + except queue.Empty: + break + self.current_audio_chunk = None + self.chunk_position = 0 + self.interrupt_event.clear() + outdata.fill(0) + return + + # Fill output buffer from queue and current chunk + outdata.fill(0) # Start with silence + samples_filled = 0 + + while samples_filled < len(outdata): + # If we don't have a current chunk, try to get one from queue + if self.current_audio_chunk is None: + try: + self.current_audio_chunk = self.output_queue.get_nowait() + self.chunk_position = 0 + except queue.Empty: + # No more audio data available - this causes choppiness + # Uncomment next line to debug underruns: + # print(f"Audio underrun: {samples_filled}/{len(outdata)} samples filled") + break + + # Copy data from current chunk to output buffer + remaining_output = len(outdata) - samples_filled + remaining_chunk = len(self.current_audio_chunk) - self.chunk_position + samples_to_copy = min(remaining_output, remaining_chunk) + + if samples_to_copy > 0: + chunk_data = self.current_audio_chunk[ + self.chunk_position : self.chunk_position + samples_to_copy + ] + # More efficient: direct assignment for mono audio instead of reshape + outdata[samples_filled : samples_filled + samples_to_copy, 0] = chunk_data + samples_filled += samples_to_copy + self.chunk_position += samples_to_copy + + # If we've used up the entire chunk, reset for next iteration + if self.chunk_position >= len(self.current_audio_chunk): + self.current_audio_chunk = None + self.chunk_position = 0 + async def run(self) -> None: print("Connecting, may take a few seconds...") - # Initialize audio player + # Initialize audio player with callback + chunk_size = int(SAMPLE_RATE * CHUNK_LENGTH_S) self.audio_player = sd.OutputStream( channels=CHANNELS, samplerate=SAMPLE_RATE, dtype=FORMAT, + callback=self._output_callback, + blocksize=chunk_size, # Match our chunk timing for better alignment ) self.audio_player.start() @@ -146,15 +211,24 @@ async def _on_event(self, event: RealtimeSessionEvent) -> None: elif event.type == "audio_end": print("Audio ended") elif event.type == "audio": - # Play audio through speakers + # Enqueue audio for callback-based playback np_audio = np.frombuffer(event.audio.data, dtype=np.int16) - if self.audio_player: - try: - self.audio_player.write(np_audio) - except Exception as e: - print(f"Audio playback error: {e}") + try: + self.output_queue.put_nowait(np_audio) + except queue.Full: + # Queue is full - only drop if we have significant backlog + # This prevents aggressive dropping that could cause choppiness + if self.output_queue.qsize() > 8: # Keep some buffer + try: + self.output_queue.get_nowait() + self.output_queue.put_nowait(np_audio) + except queue.Empty: + pass + # If queue isn't too full, just skip this chunk to avoid blocking elif event.type == "audio_interrupted": print("Audio interrupted") + # Signal the output callback to clear its queue and state + self.interrupt_event.set() elif event.type == "error": print(f"Error: {event.error}") elif event.type == "history_updated": diff --git a/pyproject.toml b/pyproject.toml index b654f0c3d..df6915c35 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -7,7 +7,7 @@ requires-python = ">=3.9" license = "MIT" authors = [{ name = "OpenAI", email = "support@openai.com" }] dependencies = [ - "openai>=1.96.0, <2", + "openai>=1.96.1, <2", "pydantic>=2.10, <3", "griffe>=1.5.6, <2", "typing-extensions>=4.12.2, <5", diff --git a/src/agents/realtime/items.py b/src/agents/realtime/items.py index 4d618f3a9..fc05ebc51 100644 --- a/src/agents/realtime/items.py +++ b/src/agents/realtime/items.py @@ -30,6 +30,15 @@ class AssistantText(BaseModel): model_config = ConfigDict(extra="allow") +class AssistantAudio(BaseModel): + type: Literal["audio"] = "audio" + audio: str | None = None + transcript: str | None = None + + # Allow extra data + model_config = ConfigDict(extra="allow") + + class SystemMessageItem(BaseModel): item_id: str previous_item_id: str | None = None @@ -58,7 +67,7 @@ class AssistantMessageItem(BaseModel): type: Literal["message"] = "message" role: Literal["assistant"] = "assistant" status: Literal["in_progress", "completed", "incomplete"] | None = None - content: list[AssistantText] + content: list[Annotated[AssistantText | AssistantAudio, Field(discriminator="type")]] # Allow extra data model_config = ConfigDict(extra="allow") diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index bbffaeefa..9db53dae5 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -364,7 +364,7 @@ async def _handle_output_item(self, item: ConversationItem) -> None: "item_id": item.id or "", "type": item.type, "role": item.role, - "content": item.content, + "content": [content.model_dump() for content in item.content], "status": "in_progress", } ) diff --git a/uv.lock b/uv.lock index 3bff55bf9..918c3d0be 100644 --- a/uv.lock +++ b/uv.lock @@ -1461,7 +1461,7 @@ wheels = [ [[package]] name = "openai" -version = "1.96.0" +version = "1.96.1" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "anyio" }, @@ -1473,9 +1473,9 @@ dependencies = [ { name = "tqdm" }, { name = "typing-extensions" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/47/7d/dbc636786f8bf029600abdbf89da74706bdde37c4fe1471ce78834a7ecaa/openai-1.96.0.tar.gz", hash = "sha256:36e34b5aa2c9c0380c1934fa16ba53b3b3c6462450b4c008b98859b9b6424cf7", size = 488898, upload-time = "2025-07-15T15:56:52.853Z" } +sdist = { url = "https://files.pythonhosted.org/packages/2f/b5/18fd5e1b6b6c7dca52d60307b3637f9e9e3206a8041a9c8028985dbc6260/openai-1.96.1.tar.gz", hash = "sha256:6d505b5cc550e036bfa3fe99d6cff565b11491d12378d4c353f92ef72b0a408a", size = 489065, upload-time = "2025-07-15T21:39:37.215Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/dc/63/e29319a52449b7ac4c3a13a1448a9fa326aa1263478eb4c4a9bcbbe95648/openai-1.96.0-py3-none-any.whl", hash = "sha256:4dee023520f8a70ddeaa9f4d6fb247e6dcafd79d2ebb415e3f85932d95aa64a0", size = 757092, upload-time = "2025-07-15T15:56:50.387Z" }, + { url = "https://files.pythonhosted.org/packages/4f/57/325bbdbdc27b47309be35cb4e0eb8980b0c1bc997194c797c3691d88ae41/openai-1.96.1-py3-none-any.whl", hash = "sha256:0afaab2019bae8e145e7a1baf6953167084f019dd15042c65edd117398c1eb1c", size = 757454, upload-time = "2025-07-15T21:39:34.517Z" }, ] [[package]] @@ -1539,7 +1539,7 @@ requires-dist = [ { name = "litellm", marker = "extra == 'litellm'", specifier = ">=1.67.4.post1,<2" }, { name = "mcp", marker = "python_full_version >= '3.10'", specifier = ">=1.9.4,<2" }, { name = "numpy", marker = "python_full_version >= '3.10' and extra == 'voice'", specifier = ">=2.2.0,<3" }, - { name = "openai", specifier = ">=1.96.0,<2" }, + { name = "openai", specifier = ">=1.96.1,<2" }, { name = "pydantic", specifier = ">=2.10,<3" }, { name = "requests", specifier = ">=2.0,<3" }, { name = "types-requests", specifier = ">=2.0,<3" }, From 7387b6e4439a987c372a7e4dd21ad78c9a97500b Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Tue, 15 Jul 2025 23:35:24 -0400 Subject: [PATCH 250/337] Realtime: move demo audio to separate thread --- examples/realtime/demo.py | 3 +- examples/realtime/no_ui_demo.py | 89 ++++++++++++++++++++++++-- pyproject.toml | 2 +- src/agents/realtime/items.py | 11 +++- src/agents/realtime/openai_realtime.py | 4 +- tests/realtime/test_session.py | 14 ++-- uv.lock | 8 +-- 7 files changed, 109 insertions(+), 22 deletions(-) diff --git a/examples/realtime/demo.py b/examples/realtime/demo.py index e366212d2..65ca63f27 100644 --- a/examples/realtime/demo.py +++ b/examples/realtime/demo.py @@ -93,7 +93,8 @@ async def _on_event(self, event: RealtimeSessionEvent) -> None: self.ui.add_transcript("Audio ended") elif event.type == "audio": np_audio = np.frombuffer(event.audio.data, dtype=np.int16) - self.ui.play_audio(np_audio) + # Play audio in a separate thread to avoid blocking the event loop + await asyncio.to_thread(self.ui.play_audio, np_audio) elif event.type == "audio_interrupted": self.ui.add_transcript("Audio interrupted") elif event.type == "error": diff --git a/examples/realtime/no_ui_demo.py b/examples/realtime/no_ui_demo.py index ff53fea84..be610b43e 100644 --- a/examples/realtime/no_ui_demo.py +++ b/examples/realtime/no_ui_demo.py @@ -1,5 +1,8 @@ import asyncio +import queue import sys +import threading +from typing import Any import numpy as np import sounddevice as sd @@ -46,14 +49,77 @@ def __init__(self) -> None: self.audio_player: sd.OutputStream | None = None self.recording = False + # Audio output state for callback system + self.output_queue: queue.Queue[Any] = queue.Queue(maxsize=10) # Buffer more chunks + self.interrupt_event = threading.Event() + self.current_audio_chunk: np.ndarray | None = None # type: ignore + self.chunk_position = 0 + + def _output_callback(self, outdata, frames: int, time, status) -> None: + """Callback for audio output - handles continuous audio stream from server.""" + if status: + print(f"Output callback status: {status}") + + # Check if we should clear the queue due to interrupt + if self.interrupt_event.is_set(): + # Clear the queue and current chunk state + while not self.output_queue.empty(): + try: + self.output_queue.get_nowait() + except queue.Empty: + break + self.current_audio_chunk = None + self.chunk_position = 0 + self.interrupt_event.clear() + outdata.fill(0) + return + + # Fill output buffer from queue and current chunk + outdata.fill(0) # Start with silence + samples_filled = 0 + + while samples_filled < len(outdata): + # If we don't have a current chunk, try to get one from queue + if self.current_audio_chunk is None: + try: + self.current_audio_chunk = self.output_queue.get_nowait() + self.chunk_position = 0 + except queue.Empty: + # No more audio data available - this causes choppiness + # Uncomment next line to debug underruns: + # print(f"Audio underrun: {samples_filled}/{len(outdata)} samples filled") + break + + # Copy data from current chunk to output buffer + remaining_output = len(outdata) - samples_filled + remaining_chunk = len(self.current_audio_chunk) - self.chunk_position + samples_to_copy = min(remaining_output, remaining_chunk) + + if samples_to_copy > 0: + chunk_data = self.current_audio_chunk[ + self.chunk_position : self.chunk_position + samples_to_copy + ] + # More efficient: direct assignment for mono audio instead of reshape + outdata[samples_filled : samples_filled + samples_to_copy, 0] = chunk_data + samples_filled += samples_to_copy + self.chunk_position += samples_to_copy + + # If we've used up the entire chunk, reset for next iteration + if self.chunk_position >= len(self.current_audio_chunk): + self.current_audio_chunk = None + self.chunk_position = 0 + async def run(self) -> None: print("Connecting, may take a few seconds...") - # Initialize audio player + # Initialize audio player with callback + chunk_size = int(SAMPLE_RATE * CHUNK_LENGTH_S) self.audio_player = sd.OutputStream( channels=CHANNELS, samplerate=SAMPLE_RATE, dtype=FORMAT, + callback=self._output_callback, + blocksize=chunk_size, # Match our chunk timing for better alignment ) self.audio_player.start() @@ -146,15 +212,24 @@ async def _on_event(self, event: RealtimeSessionEvent) -> None: elif event.type == "audio_end": print("Audio ended") elif event.type == "audio": - # Play audio through speakers + # Enqueue audio for callback-based playback np_audio = np.frombuffer(event.audio.data, dtype=np.int16) - if self.audio_player: - try: - self.audio_player.write(np_audio) - except Exception as e: - print(f"Audio playback error: {e}") + try: + self.output_queue.put_nowait(np_audio) + except queue.Full: + # Queue is full - only drop if we have significant backlog + # This prevents aggressive dropping that could cause choppiness + if self.output_queue.qsize() > 8: # Keep some buffer + try: + self.output_queue.get_nowait() + self.output_queue.put_nowait(np_audio) + except queue.Empty: + pass + # If queue isn't too full, just skip this chunk to avoid blocking elif event.type == "audio_interrupted": print("Audio interrupted") + # Signal the output callback to clear its queue and state + self.interrupt_event.set() elif event.type == "error": print(f"Error: {event.error}") elif event.type == "history_updated": diff --git a/pyproject.toml b/pyproject.toml index b654f0c3d..df6915c35 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -7,7 +7,7 @@ requires-python = ">=3.9" license = "MIT" authors = [{ name = "OpenAI", email = "support@openai.com" }] dependencies = [ - "openai>=1.96.0, <2", + "openai>=1.96.1, <2", "pydantic>=2.10, <3", "griffe>=1.5.6, <2", "typing-extensions>=4.12.2, <5", diff --git a/src/agents/realtime/items.py b/src/agents/realtime/items.py index 4d618f3a9..fc05ebc51 100644 --- a/src/agents/realtime/items.py +++ b/src/agents/realtime/items.py @@ -30,6 +30,15 @@ class AssistantText(BaseModel): model_config = ConfigDict(extra="allow") +class AssistantAudio(BaseModel): + type: Literal["audio"] = "audio" + audio: str | None = None + transcript: str | None = None + + # Allow extra data + model_config = ConfigDict(extra="allow") + + class SystemMessageItem(BaseModel): item_id: str previous_item_id: str | None = None @@ -58,7 +67,7 @@ class AssistantMessageItem(BaseModel): type: Literal["message"] = "message" role: Literal["assistant"] = "assistant" status: Literal["in_progress", "completed", "incomplete"] | None = None - content: list[AssistantText] + content: list[Annotated[AssistantText | AssistantAudio, Field(discriminator="type")]] # Allow extra data model_config = ConfigDict(extra="allow") diff --git a/src/agents/realtime/openai_realtime.py b/src/agents/realtime/openai_realtime.py index bbffaeefa..e8a4749e7 100644 --- a/src/agents/realtime/openai_realtime.py +++ b/src/agents/realtime/openai_realtime.py @@ -364,7 +364,9 @@ async def _handle_output_item(self, item: ConversationItem) -> None: "item_id": item.id or "", "type": item.type, "role": item.role, - "content": item.content, + "content": ( + [content.model_dump() for content in item.content] if item.content else [] + ), "status": "in_progress", } ) diff --git a/tests/realtime/test_session.py b/tests/realtime/test_session.py index d95e4e33d..7c1eb53ff 100644 --- a/tests/realtime/test_session.py +++ b/tests/realtime/test_session.py @@ -295,7 +295,7 @@ async def test_item_updated_event_updates_existing_item(self, mock_model, mock_a # Check that item was updated assert len(session._history) == 1 updated_item = cast(AssistantMessageItem, session._history[0]) - assert updated_item.content[0].text == "Updated" + assert updated_item.content[0].text == "Updated" # type: ignore # Should have 2 events: raw + history updated (not added) assert session._event_queue.qsize() == 2 @@ -526,7 +526,7 @@ def test_update_existing_item_by_id(self): # Item should be updated result_item = cast(AssistantMessageItem, new_history[0]) assert result_item.item_id == "item_1" - assert result_item.content[0].text == "Updated" + assert result_item.content[0].text == "Updated" # type: ignore def test_update_existing_item_preserves_order(self): """Test that updating existing item preserves its position in history""" @@ -559,13 +559,13 @@ def test_update_existing_item_preserves_order(self): # Middle item should be updated updated_result = cast(AssistantMessageItem, new_history[1]) - assert updated_result.content[0].text == "Updated Second" + assert updated_result.content[0].text == "Updated Second" # type: ignore # Other items should be unchanged item1_result = cast(AssistantMessageItem, new_history[0]) item3_result = cast(AssistantMessageItem, new_history[2]) - assert item1_result.content[0].text == "First" - assert item3_result.content[0].text == "Third" + assert item1_result.content[0].text == "First" # type: ignore + assert item3_result.content[0].text == "Third" # type: ignore def test_insert_new_item_after_previous_item(self): """Test inserting new item after specified previous_item_id""" @@ -600,7 +600,7 @@ def test_insert_new_item_after_previous_item(self): # Content should be correct item2_result = cast(AssistantMessageItem, new_history[1]) - assert item2_result.content[0].text == "Second" + assert item2_result.content[0].text == "Second" # type: ignore def test_insert_new_item_after_nonexistent_previous_item(self): """Test that item with nonexistent previous_item_id gets added to end""" @@ -703,7 +703,7 @@ def test_complex_insertion_scenario(self): assert len(history) == 4 assert [item.item_id for item in history] == ["A", "B", "D", "C"] itemB_result = cast(AssistantMessageItem, history[1]) - assert itemB_result.content[0].text == "Updated B" + assert itemB_result.content[0].text == "Updated B" # type: ignore # Test 3: Tool call execution flow (_handle_tool_call method) diff --git a/uv.lock b/uv.lock index 3bff55bf9..918c3d0be 100644 --- a/uv.lock +++ b/uv.lock @@ -1461,7 +1461,7 @@ wheels = [ [[package]] name = "openai" -version = "1.96.0" +version = "1.96.1" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "anyio" }, @@ -1473,9 +1473,9 @@ dependencies = [ { name = "tqdm" }, { name = "typing-extensions" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/47/7d/dbc636786f8bf029600abdbf89da74706bdde37c4fe1471ce78834a7ecaa/openai-1.96.0.tar.gz", hash = "sha256:36e34b5aa2c9c0380c1934fa16ba53b3b3c6462450b4c008b98859b9b6424cf7", size = 488898, upload-time = "2025-07-15T15:56:52.853Z" } +sdist = { url = "https://files.pythonhosted.org/packages/2f/b5/18fd5e1b6b6c7dca52d60307b3637f9e9e3206a8041a9c8028985dbc6260/openai-1.96.1.tar.gz", hash = "sha256:6d505b5cc550e036bfa3fe99d6cff565b11491d12378d4c353f92ef72b0a408a", size = 489065, upload-time = "2025-07-15T21:39:37.215Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/dc/63/e29319a52449b7ac4c3a13a1448a9fa326aa1263478eb4c4a9bcbbe95648/openai-1.96.0-py3-none-any.whl", hash = "sha256:4dee023520f8a70ddeaa9f4d6fb247e6dcafd79d2ebb415e3f85932d95aa64a0", size = 757092, upload-time = "2025-07-15T15:56:50.387Z" }, + { url = "https://files.pythonhosted.org/packages/4f/57/325bbdbdc27b47309be35cb4e0eb8980b0c1bc997194c797c3691d88ae41/openai-1.96.1-py3-none-any.whl", hash = "sha256:0afaab2019bae8e145e7a1baf6953167084f019dd15042c65edd117398c1eb1c", size = 757454, upload-time = "2025-07-15T21:39:34.517Z" }, ] [[package]] @@ -1539,7 +1539,7 @@ requires-dist = [ { name = "litellm", marker = "extra == 'litellm'", specifier = ">=1.67.4.post1,<2" }, { name = "mcp", marker = "python_full_version >= '3.10'", specifier = ">=1.9.4,<2" }, { name = "numpy", marker = "python_full_version >= '3.10' and extra == 'voice'", specifier = ">=2.2.0,<3" }, - { name = "openai", specifier = ">=1.96.0,<2" }, + { name = "openai", specifier = ">=1.96.1,<2" }, { name = "pydantic", specifier = ">=2.10,<3" }, { name = "requests", specifier = ">=2.0,<3" }, { name = "types-requests", specifier = ">=2.0,<3" }, From 73046d4b1e22b0cc76e7d94b8194ee46b797a8b0 Mon Sep 17 00:00:00 2001 From: Rohan Mehta Date: Wed, 16 Jul 2025 11:29:35 -0400 Subject: [PATCH 251/337] Realtime: web demo Add a web demo that uses a fastapi backend. Also remove the CLI UI demo. --- examples/realtime/app/README.md | 50 +++ examples/realtime/app/server.py | 159 ++++++++ examples/realtime/app/static/app.js | 423 ++++++++++++++++++++++ examples/realtime/app/static/index.html | 253 +++++++++++++ examples/realtime/{ => cli}/demo.py | 0 examples/realtime/{ => cli}/no_ui_demo.py | 0 examples/realtime/{ => cli}/ui.py | 0 7 files changed, 885 insertions(+) create mode 100644 examples/realtime/app/README.md create mode 100644 examples/realtime/app/server.py create mode 100644 examples/realtime/app/static/app.js create mode 100644 examples/realtime/app/static/index.html rename examples/realtime/{ => cli}/demo.py (100%) rename examples/realtime/{ => cli}/no_ui_demo.py (100%) rename examples/realtime/{ => cli}/ui.py (100%) diff --git a/examples/realtime/app/README.md b/examples/realtime/app/README.md new file mode 100644 index 000000000..fba5245e4 --- /dev/null +++ b/examples/realtime/app/README.md @@ -0,0 +1,50 @@ +# Realtime Demo App + +A web-based realtime voice assistant demo with a FastAPI backend and clean HTML/JS frontend. + +## Features + +- **Connect/Disconnect**: Simple button to establish realtime session +- **Two-pane Interface**: + - Left pane: Message thread showing conversation transcript with user/assistant alignment + - Right pane: Raw transport events display with collapsible event details +- **Voice Input**: Continuous microphone capture with mute/unmute control +- **Audio Playback**: Real-time audio output from the assistant +- **Clean UI**: Elegant, responsive design with smooth interactions + +## Installation + +Install the required dependencies: + +```bash +uv add fastapi uvicorn websockets +``` + +## Usage + +Start the application with a single command: + +```bash +cd examples/realtime/app && uv run python server.py +``` + +Then open your browser to: http://localhost:8000 + +## How to Use + +1. Click **Connect** to establish a realtime session +2. Audio capture starts automatically - just speak naturally +3. Click the **Mic On/Off** button to mute/unmute your microphone +4. Watch the conversation unfold in the left pane +5. Monitor raw events in the right pane (click to expand/collapse) +6. Click **Disconnect** when done + +## Architecture + +- **Backend**: FastAPI server with WebSocket connections for real-time communication +- **Session Management**: Each connection gets a unique session with the OpenAI Realtime API +- **Audio Processing**: 24kHz mono audio capture and playback +- **Event Handling**: Full event stream processing with transcript generation +- **Frontend**: Vanilla JavaScript with clean, responsive CSS + +The demo showcases the core patterns for building realtime voice applications with the OpenAI Agents SDK. \ No newline at end of file diff --git a/examples/realtime/app/server.py b/examples/realtime/app/server.py new file mode 100644 index 000000000..4f7c0f921 --- /dev/null +++ b/examples/realtime/app/server.py @@ -0,0 +1,159 @@ +import asyncio +import base64 +import json +import logging +import struct +from contextlib import asynccontextmanager +from typing import Any, assert_never + +from fastapi import FastAPI, WebSocket, WebSocketDisconnect +from fastapi.responses import FileResponse +from fastapi.staticfiles import StaticFiles + +from agents import function_tool +from agents.realtime import RealtimeAgent, RealtimeRunner, RealtimeSession, RealtimeSessionEvent + +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + + +@function_tool +def get_weather(city: str) -> str: + """Get the weather in a city.""" + return f"The weather in {city} is sunny." + + +agent = RealtimeAgent( + name="Assistant", + instructions="You are a helpful assistant. Be conversational and engaging.", + tools=[get_weather], +) + + +class RealtimeWebSocketManager: + def __init__(self): + self.active_sessions: dict[str, RealtimeSession] = {} + self.session_contexts: dict[str, Any] = {} + self.websockets: dict[str, WebSocket] = {} + + async def connect(self, websocket: WebSocket, session_id: str): + await websocket.accept() + self.websockets[session_id] = websocket + + runner = RealtimeRunner(agent) + session_context = await runner.run() + session = await session_context.__aenter__() + self.active_sessions[session_id] = session + self.session_contexts[session_id] = session_context + + # Start event processing task + asyncio.create_task(self._process_events(session_id)) + + async def disconnect(self, session_id: str): + if session_id in self.session_contexts: + await self.session_contexts[session_id].__aexit__(None, None, None) + del self.session_contexts[session_id] + if session_id in self.active_sessions: + del self.active_sessions[session_id] + if session_id in self.websockets: + del self.websockets[session_id] + + async def send_audio(self, session_id: str, audio_bytes: bytes): + if session_id in self.active_sessions: + await self.active_sessions[session_id].send_audio(audio_bytes) + + async def _process_events(self, session_id: str): + try: + session = self.active_sessions[session_id] + websocket = self.websockets[session_id] + + async for event in session: + event_data = await self._serialize_event(event) + await websocket.send_text(json.dumps(event_data)) + except Exception as e: + logger.error(f"Error processing events for session {session_id}: {e}") + + async def _serialize_event(self, event: RealtimeSessionEvent) -> dict[str, Any]: + base_event: dict[str, Any] = { + "type": event.type, + } + + if event.type == "agent_start": + base_event["agent"] = event.agent.name + elif event.type == "agent_end": + base_event["agent"] = event.agent.name + elif event.type == "handoff": + base_event["from"] = event.from_agent.name + base_event["to"] = event.to_agent.name + elif event.type == "tool_start": + base_event["tool"] = event.tool.name + elif event.type == "tool_end": + base_event["tool"] = event.tool.name + base_event["output"] = str(event.output) + elif event.type == "audio": + base_event["audio"] = base64.b64encode(event.audio.data).decode("utf-8") + elif event.type == "audio_interrupted": + pass + elif event.type == "audio_end": + pass + elif event.type == "history_updated": + base_event["history"] = [item.model_dump(mode="json") for item in event.history] + elif event.type == "history_added": + pass + elif event.type == "guardrail_tripped": + base_event["guardrail_results"] = [ + {"name": result.guardrail.name} for result in event.guardrail_results + ] + elif event.type == "raw_model_event": + base_event["raw_model_event"] = { + "type": event.data.type, + } + elif event.type == "error": + base_event["error"] = str(event.error) if hasattr(event, "error") else "Unknown error" + else: + assert_never(event) + + return base_event + + +manager = RealtimeWebSocketManager() + + +@asynccontextmanager +async def lifespan(app: FastAPI): + yield + + +app = FastAPI(lifespan=lifespan) + + +@app.websocket("/ws/{session_id}") +async def websocket_endpoint(websocket: WebSocket, session_id: str): + await manager.connect(websocket, session_id) + try: + while True: + data = await websocket.receive_text() + message = json.loads(data) + + if message["type"] == "audio": + # Convert int16 array to bytes + int16_data = message["data"] + audio_bytes = struct.pack(f"{len(int16_data)}h", *int16_data) + await manager.send_audio(session_id, audio_bytes) + + except WebSocketDisconnect: + await manager.disconnect(session_id) + + +app.mount("/", StaticFiles(directory="static", html=True), name="static") + + +@app.get("/") +async def read_index(): + return FileResponse("static/index.html") + + +if __name__ == "__main__": + import uvicorn + + uvicorn.run(app, host="0.0.0.0", port=8000) diff --git a/examples/realtime/app/static/app.js b/examples/realtime/app/static/app.js new file mode 100644 index 000000000..733012f46 --- /dev/null +++ b/examples/realtime/app/static/app.js @@ -0,0 +1,423 @@ +class RealtimeDemo { + constructor() { + this.ws = null; + this.isConnected = false; + this.isMuted = false; + this.isCapturing = false; + this.audioContext = null; + this.processor = null; + this.stream = null; + this.sessionId = this.generateSessionId(); + + // Audio playback queue + this.audioQueue = []; + this.isPlayingAudio = false; + this.playbackAudioContext = null; + this.currentAudioSource = null; + + this.initializeElements(); + this.setupEventListeners(); + } + + initializeElements() { + this.connectBtn = document.getElementById('connectBtn'); + this.muteBtn = document.getElementById('muteBtn'); + this.status = document.getElementById('status'); + this.messagesContent = document.getElementById('messagesContent'); + this.eventsContent = document.getElementById('eventsContent'); + } + + setupEventListeners() { + this.connectBtn.addEventListener('click', () => { + if (this.isConnected) { + this.disconnect(); + } else { + this.connect(); + } + }); + + this.muteBtn.addEventListener('click', () => { + this.toggleMute(); + }); + } + + generateSessionId() { + return 'session_' + Math.random().toString(36).substr(2, 9); + } + + async connect() { + try { + this.ws = new WebSocket(`ws://localhost:8000/ws/${this.sessionId}`); + + this.ws.onopen = () => { + this.isConnected = true; + this.updateConnectionUI(); + this.startContinuousCapture(); + }; + + this.ws.onmessage = (event) => { + const data = JSON.parse(event.data); + this.handleRealtimeEvent(data); + }; + + this.ws.onclose = () => { + this.isConnected = false; + this.updateConnectionUI(); + }; + + this.ws.onerror = (error) => { + console.error('WebSocket error:', error); + }; + + } catch (error) { + console.error('Failed to connect:', error); + } + } + + disconnect() { + if (this.ws) { + this.ws.close(); + } + this.stopContinuousCapture(); + } + + updateConnectionUI() { + if (this.isConnected) { + this.connectBtn.textContent = 'Disconnect'; + this.connectBtn.className = 'connect-btn connected'; + this.status.textContent = 'Connected'; + this.status.className = 'status connected'; + this.muteBtn.disabled = false; + } else { + this.connectBtn.textContent = 'Connect'; + this.connectBtn.className = 'connect-btn disconnected'; + this.status.textContent = 'Disconnected'; + this.status.className = 'status disconnected'; + this.muteBtn.disabled = true; + } + } + + toggleMute() { + this.isMuted = !this.isMuted; + this.updateMuteUI(); + } + + updateMuteUI() { + if (this.isMuted) { + this.muteBtn.textContent = '🔇 Mic Off'; + this.muteBtn.className = 'mute-btn muted'; + } else { + this.muteBtn.textContent = '🎤 Mic On'; + this.muteBtn.className = 'mute-btn unmuted'; + if (this.isCapturing) { + this.muteBtn.classList.add('active'); + } + } + } + + async startContinuousCapture() { + if (!this.isConnected || this.isCapturing) return; + + // Check if getUserMedia is available + if (!navigator.mediaDevices || !navigator.mediaDevices.getUserMedia) { + throw new Error('getUserMedia not available. Please use HTTPS or localhost.'); + } + + try { + this.stream = await navigator.mediaDevices.getUserMedia({ + audio: { + sampleRate: 24000, + channelCount: 1, + echoCancellation: true, + noiseSuppression: true + } + }); + + this.audioContext = new AudioContext({ sampleRate: 24000 }); + const source = this.audioContext.createMediaStreamSource(this.stream); + + // Create a script processor to capture audio data + this.processor = this.audioContext.createScriptProcessor(4096, 1, 1); + source.connect(this.processor); + this.processor.connect(this.audioContext.destination); + + this.processor.onaudioprocess = (event) => { + if (!this.isMuted && this.ws && this.ws.readyState === WebSocket.OPEN) { + const inputBuffer = event.inputBuffer.getChannelData(0); + const int16Buffer = new Int16Array(inputBuffer.length); + + // Convert float32 to int16 + for (let i = 0; i < inputBuffer.length; i++) { + int16Buffer[i] = Math.max(-32768, Math.min(32767, inputBuffer[i] * 32768)); + } + + this.ws.send(JSON.stringify({ + type: 'audio', + data: Array.from(int16Buffer) + })); + } + }; + + this.isCapturing = true; + this.updateMuteUI(); + + } catch (error) { + console.error('Failed to start audio capture:', error); + } + } + + stopContinuousCapture() { + if (!this.isCapturing) return; + + this.isCapturing = false; + + if (this.processor) { + this.processor.disconnect(); + this.processor = null; + } + + if (this.audioContext) { + this.audioContext.close(); + this.audioContext = null; + } + + if (this.stream) { + this.stream.getTracks().forEach(track => track.stop()); + this.stream = null; + } + + this.updateMuteUI(); + } + + handleRealtimeEvent(event) { + // Add to raw events pane + this.addRawEvent(event); + + // Handle specific event types + switch (event.type) { + case 'audio': + this.playAudio(event.audio); + break; + case 'audio_interrupted': + this.stopAudioPlayback(); + break; + case 'history_updated': + this.updateMessagesFromHistory(event.history); + break; + } + } + + + updateMessagesFromHistory(history) { + console.log('updateMessagesFromHistory called with:', history); + + // Clear all existing messages + this.messagesContent.innerHTML = ''; + + // Add messages from history + if (history && Array.isArray(history)) { + console.log('Processing history array with', history.length, 'items'); + history.forEach((item, index) => { + console.log(`History item ${index}:`, item); + if (item.type === 'message') { + const role = item.role; + let content = ''; + + console.log(`Message item - role: ${role}, content:`, item.content); + + if (item.content && Array.isArray(item.content)) { + // Extract text from content array + item.content.forEach(contentPart => { + console.log('Content part:', contentPart); + if (contentPart.type === 'text' && contentPart.text) { + content += contentPart.text; + } else if (contentPart.type === 'input_text' && contentPart.text) { + content += contentPart.text; + } else if (contentPart.type === 'input_audio' && contentPart.transcript) { + content += contentPart.transcript; + } else if (contentPart.type === 'audio' && contentPart.transcript) { + content += contentPart.transcript; + } + }); + } + + console.log(`Final content for ${role}:`, content); + + if (content.trim()) { + this.addMessage(role, content.trim()); + console.log(`Added message: ${role} - ${content.trim()}`); + } + } else { + console.log(`Skipping non-message item of type: ${item.type}`); + } + }); + } else { + console.log('History is not an array or is null/undefined'); + } + + this.scrollToBottom(); + } + + addMessage(type, content) { + const messageDiv = document.createElement('div'); + messageDiv.className = `message ${type}`; + + const bubbleDiv = document.createElement('div'); + bubbleDiv.className = 'message-bubble'; + bubbleDiv.textContent = content; + + messageDiv.appendChild(bubbleDiv); + this.messagesContent.appendChild(messageDiv); + this.scrollToBottom(); + + return messageDiv; + } + + addRawEvent(event) { + const eventDiv = document.createElement('div'); + eventDiv.className = 'event'; + + const headerDiv = document.createElement('div'); + headerDiv.className = 'event-header'; + headerDiv.innerHTML = ` + ${event.type} + ▼ + `; + + const contentDiv = document.createElement('div'); + contentDiv.className = 'event-content collapsed'; + contentDiv.textContent = JSON.stringify(event, null, 2); + + headerDiv.addEventListener('click', () => { + const isCollapsed = contentDiv.classList.contains('collapsed'); + contentDiv.classList.toggle('collapsed'); + headerDiv.querySelector('span:last-child').textContent = isCollapsed ? '▲' : '▼'; + }); + + eventDiv.appendChild(headerDiv); + eventDiv.appendChild(contentDiv); + this.eventsContent.appendChild(eventDiv); + + // Auto-scroll events pane + this.eventsContent.scrollTop = this.eventsContent.scrollHeight; + } + + async playAudio(audioBase64) { + try { + if (!audioBase64 || audioBase64.length === 0) { + console.warn('Received empty audio data, skipping playback'); + return; + } + + // Add to queue + this.audioQueue.push(audioBase64); + + // Start processing queue if not already playing + if (!this.isPlayingAudio) { + this.processAudioQueue(); + } + + } catch (error) { + console.error('Failed to play audio:', error); + } + } + + async processAudioQueue() { + if (this.isPlayingAudio || this.audioQueue.length === 0) { + return; + } + + this.isPlayingAudio = true; + + // Initialize audio context if needed + if (!this.playbackAudioContext) { + this.playbackAudioContext = new AudioContext({ sampleRate: 24000 }); + } + + while (this.audioQueue.length > 0) { + const audioBase64 = this.audioQueue.shift(); + await this.playAudioChunk(audioBase64); + } + + this.isPlayingAudio = false; + } + + async playAudioChunk(audioBase64) { + return new Promise((resolve, reject) => { + try { + // Decode base64 to ArrayBuffer + const binaryString = atob(audioBase64); + const bytes = new Uint8Array(binaryString.length); + for (let i = 0; i < binaryString.length; i++) { + bytes[i] = binaryString.charCodeAt(i); + } + + const int16Array = new Int16Array(bytes.buffer); + + if (int16Array.length === 0) { + console.warn('Audio chunk has no samples, skipping'); + resolve(); + return; + } + + const float32Array = new Float32Array(int16Array.length); + + // Convert int16 to float32 + for (let i = 0; i < int16Array.length; i++) { + float32Array[i] = int16Array[i] / 32768.0; + } + + const audioBuffer = this.playbackAudioContext.createBuffer(1, float32Array.length, 24000); + audioBuffer.getChannelData(0).set(float32Array); + + const source = this.playbackAudioContext.createBufferSource(); + source.buffer = audioBuffer; + source.connect(this.playbackAudioContext.destination); + + // Store reference to current source + this.currentAudioSource = source; + + source.onended = () => { + this.currentAudioSource = null; + resolve(); + }; + source.start(); + + } catch (error) { + console.error('Failed to play audio chunk:', error); + reject(error); + } + }); + } + + stopAudioPlayback() { + console.log('Stopping audio playback due to interruption'); + + // Stop current audio source if playing + if (this.currentAudioSource) { + try { + this.currentAudioSource.stop(); + this.currentAudioSource = null; + } catch (error) { + console.error('Error stopping audio source:', error); + } + } + + // Clear the audio queue + this.audioQueue = []; + + // Reset playback state + this.isPlayingAudio = false; + + console.log('Audio playback stopped and queue cleared'); + } + + scrollToBottom() { + this.messagesContent.scrollTop = this.messagesContent.scrollHeight; + } +} + +// Initialize the demo when the page loads +document.addEventListener('DOMContentLoaded', () => { + new RealtimeDemo(); +}); \ No newline at end of file diff --git a/examples/realtime/app/static/index.html b/examples/realtime/app/static/index.html new file mode 100644 index 000000000..ce9ebef91 --- /dev/null +++ b/examples/realtime/app/static/index.html @@ -0,0 +1,253 @@ + + + + + + Realtime Demo + + + +