Copilot Studio

Integrasi Copilot Studio memungkinkan Anda menggunakan agen Copilot Studio dalam Kerangka Kerja Agen.

Contoh berikut menunjukkan cara membuat agen menggunakan Copilot Studio:

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

// Create a Copilot Studio agent using the IChatClient pattern
// Requires: dotnet add package Microsoft.Agents.AI.CopilotStudio --prerelease
var copilotClient = new CopilotStudioChatClient(
    environmentId: "<your-environment-id>",
    agentIdentifier: "<your-agent-id>",
    credential: new AzureCliCredential());

AIAgent agent = copilotClient.AsAIAgent(
    instructions: "You are a helpful enterprise assistant.");

Console.WriteLine(await agent.RunAsync("What are our company policies on remote work?"));

Nota

Dukungan Python untuk agen Copilot Studio tersedia melalui agent-framework-copilotstudio paket.

Penginstalan

pip install agent-framework-copilotstudio --pre

Konfigurasi

Atur variabel lingkungan berikut untuk konfigurasi otomatis:

COPILOTSTUDIOAGENT__ENVIRONMENTID="<your-environment-id>"
COPILOTSTUDIOAGENT__SCHEMANAME="<your-agent-schema-name>"
COPILOTSTUDIOAGENT__AGENTAPPID="<your-client-id>"
COPILOTSTUDIOAGENT__TENANTID="<your-tenant-id>"

Membuat Agen Studio Copilot

CopilotStudioAgent membaca pengaturan koneksi dari variabel lingkungan secara otomatis:

import asyncio
from agent_framework.microsoft import CopilotStudioAgent

async def main():
    agent = CopilotStudioAgent()

    result = await agent.run("What are our company policies on remote work?")
    print(result)

asyncio.run(main())

Siaran Langsung

async def streaming_example():
    agent = CopilotStudioAgent()

    print("Agent: ", end="", flush=True)
    async for chunk in agent.run("What is the largest city in France?", stream=True):
        if chunk.text:
            print(chunk.text, end="", flush=True)
    print()

Langkah selanjutnya

Penyedia Kustom