From the course: Building Agents Using the Azure AI Foundry Agent Service
Unlock this course with a free trial
Join today to access over 24,800 courses taught by industry experts.
Project overview
From the course: Building Agents Using the Azure AI Foundry Agent Service
Project overview
- [Instructor] It's now time for us to create our multi-agent system. Imagine you're a company named Contoso Travel that likes to provide the best service to its customers. They need a travel agent system that can perform a lot of tasks, such as providing itinerary information, providing up-to-date weather information, recommending their own travel products, and not from products from the web, and providing restaurant recommendations from TripAdvisor. Our objectives are to create a multi-agent travel system that has the following components, an orchestrator agent that manages the orchestration. A weather agent that provides weather information from the city of choice. An itinerary agent that creates an itinerary for a given city, adjusting for weather conditions. A travel product agent that provides product recommendations from a set of travel products found in the data travel products folder. And a restaurant agent that provides restaurant recommendations and reviews from…
Contents
-
-
-
-
-
-
-
(Locked)
Project overview1m 59s
-
(Locked)
Challenge: Setting up the environment51s
-
(Locked)
Solution: Setting up the environment4m 16s
-
(Locked)
Challenge: Setting up the agents1m 4s
-
(Locked)
Solution: Setting up the agents6m 40s
-
(Locked)
Challenge: Creating the connected agent46s
-
(Locked)
Solution: Creating the connected agent2m 59s
-
(Locked)
Challenge: Deploying in Chainlit21s
-
(Locked)
Solution: Deploying in Chainlit3m 17s
-
(Locked)
-