agent-framework/python/samples/01-get-started/03_multi_turn.py

# Copyright (c) Microsoft. All rights reserved.

import asyncio

from agent_framework import Agent
from agent_framework.foundry import FoundryChatClient
from azure.identity import AzureCliCredential

"""
Multi-Turn Conversations — Use AgentSession to maintain context

This sample shows how to keep conversation history across multiple calls
by reusing the same session object.
"""


async def main() -> None:
    # <create_agent>
    client = FoundryChatClient(
        project_endpoint="https://your-project.services.ai.azure.com",
        model="gpt-4o",
        credential=AzureCliCredential(),
    )

    agent = Agent(
        client=client,
        name="ConversationAgent",
        instructions="You are a friendly assistant. Keep your answers brief.",
    )
    # </create_agent>

    # <multi_turn>
    # Create a session to maintain conversation history
    session = agent.create_session()

    # First turn
    result = await agent.run("My name is Alice and I love hiking.", session=session)
    print(f"Agent: {result}\n")

    # Second turn — the agent should remember the user's name and hobby
    result = await agent.run("What do you remember about me?", session=session)
    print(f"Agent: {result}")
    # </multi_turn>


if __name__ == "__main__":
    asyncio.run(main())