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1.3 KiB
1.3 KiB
Example of a multi-agent flow where one agent delegates work to another, then hands off control to a third agent.
Demonstrates:
In this scenario, a group of agents work together to find the best flight for a user.
The control flow for this example can be summarised as follows:
graph TD
START --> search_agent("search agent")
search_agent --> extraction_agent("extraction agent")
extraction_agent --> search_agent
search_agent --> human_confirm("human confirm")
human_confirm --> search_agent
search_agent --> FAILED
human_confirm --> find_seat_function("find seat function")
find_seat_function --> human_seat_choice("human seat choice")
human_seat_choice --> find_seat_agent("find seat agent")
find_seat_agent --> find_seat_function
find_seat_function --> buy_flights("buy flights")
buy_flights --> SUCCESS
Running the Example
With dependencies installed and environment variables set, run:
python/uv-run -m pydantic_ai_examples.flight_booking
Example Code
snippet {path="/examples/pydantic_ai_examples/flight_booking.py"}