Schritt 3: Mehrstufige Unterhaltungen

Verwenden Sie AgentSession, um den Kontext über mehrere Aufrufe hinweg beizubehalten.

using System;
using Azure.AI.Projects;
using Azure.Identity;
using Microsoft.Agents.AI;

var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")
    ?? throw new InvalidOperationException("Set AZURE_OPENAI_ENDPOINT");
var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";

AIAgent agent = new AIProjectClient(new Uri(endpoint), new DefaultAzureCredential())
    .AsAIAgent(
        model: deploymentName,
        instructions: "You are a friendly assistant. Keep your answers brief.",
        name: "ConversationAgent");

// Create a session to maintain conversation history
AgentSession session = await agent.CreateSessionAsync();

// First turn
Console.WriteLine(await agent.RunAsync("My name is Alice and I love hiking.", session));

// Second turn — the agent remembers the user's name and hobby
Console.WriteLine(await agent.RunAsync("What do you remember about me?", session));

Im vollständigen Beispiel wird ein Agent erstellt und ein AgentSession über mehrere Aufrufe hinweg wiederverwendet:

# 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-account.services.ai.azure.com/api/projects/your-project",
        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())

Verwenden Sie agent.Session, um den Kontext über mehrere Aufrufe hinweg beizubehalten.

a := foundryprovider.NewAgent(
    endpoint,
    token,
    foundryprovider.ModelDeployment(model),
    foundryprovider.AgentConfig{
        Instructions: "You are a friendly assistant. Keep your answers brief.",
        Config: agent.Config{
            Name: "ConversationAgent",
        },
    },
)

ctx := context.Background()

// Create a session to maintain conversation history.
session, err := a.CreateSession(ctx)
if err != nil {
    panic(err)
}

// First turn.
resp, err := a.RunText(ctx, "My name is Alice and I love hiking.", agent.WithSession(session)).Collect()
fmt.Println(resp, err)

// Second turn — the agent remembers the user's name and hobby.
resp, err = a.RunText(ctx, "What do you remember about me?", agent.WithSession(session)).Collect()
fmt.Println(resp, err)