Philosim is a Python package that leverages the power of llmatch-messages to provide structured insights into complex philosophical and scientific topics, such as the simulation hypothesis.

Installation is simple:

pip install philosim

The main function philosim takes three parameters:

• user_input: a string containing the topic or question you want to explore.
• llm: an optional parameter for the LangChain LLM instance to use. If not provided, the package will use the ChatLLM7 instance from langchain_llm7 by default.
• api_key: an optional parameter for the LLM7 API key. If not provided, the package will use the LLM7_API_KEY environment variable or the default free tier API key.

from philosim import philosim

# Using the default llm
response = philosim(user_input)

# Using a custom llm instance (e.g. openai)
from langchain_openai import ChatOpenAI
llm = ChatOpenAI()
response = philosim(user_input, llm=llm)

# Using a custom llm instance (e.g. anthropic)
from langchain_anthropic import ChatAnthropic
llm = ChatAnthropic()
response = philosim(user_input, llm=llm)

# Using a custom llm instance (e.g. google)
from langchain_google_genai import ChatGoogleGenerativeAI
llm = ChatGoogleGenerativeAI()
response = philosim(user_input, llm=llm)

# Using a custom llm7 api key
response = philosim(user_input, api_key="your_api_key")

The default rate limits for LLM7 free tier are sufficient for most use cases of this package. If you need higher rate limits for LLM7, you can pass your own API key via environment variable LLM7_API_KEY or via passing it directly like philosim(user_input, api_key="your_api_key"). You can get a free API key by registering at https://token.llm7.io/.

To report any issues or request features, please visit our GitHub repository: https://github.com/chigwell/philosim/issues

Philosim was created by Eugene Evstafev (hi@eugene.plus)

Philosim is released under the MIT License.

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