Langkah 3: Percakapan Bergilir-gilir

Gunakan sesi untuk mempertahankan konteks percakapan sehingga agen mengingat apa yang dikatakan sebelumnya.

Gunakan AgentSession untuk mempertahankan konteks di beberapa panggilan:

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));

Warning

DefaultAzureCredential nyaman untuk pengembangan tetapi membutuhkan pertimbangan yang cermat dalam produksi. Dalam produksi, pertimbangkan untuk menggunakan kredensial tertentu (misalnya, ManagedIdentityCredential) untuk menghindari masalah latensi, pemeriksaan kredensial yang tidak diinginkan, dan potensi risiko keamanan dari mekanisme fallback.

Tip

Lihat di sini untuk aplikasi sampel lengkap yang dapat dijalankan.

Sampel lengkap membuat agen dan menggunakan kembali satu AgentSession di beberapa panggilan:

# 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())

Tip

Lihat sampel lengkap untuk file lengkap yang dapat dijalankan.

Gunakan agent.Session untuk mempertahankan konteks di beberapa panggilan:

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)

Tip

Lihat sampel lengkap untuk file lengkap yang dapat dijalankan.

Langkah berikutnya

Langkah 4: Memori & Ketahanan

Masuk lebih dalam: