从 AutoGen 官方 GitHub README 翻译整理的快速上手指南。
AutoGen 是微软推出的多智能体 AI 应用开发框架,支持 AI 智能体自主运行或与人类协作完成任务。目前该项目已进入维护模式(不再添加新功能),微软推荐新用户转向新一代企业级框架 Microsoft Agent Framework(MAF),现有用户可参考官方迁移指南进行升级。
AgentTool 让多个智能体协同工作环境要求:Python 3.10 或更高版本
# 安装核心包和 OpenAI 扩展
pip install -U "autogen-agentchat" "autogen-ext[openai]"
# 安装无代码 GUI 工具(可选)
pip install -U "autogenstudio"
从 v0.2 升级的用户请查阅官方迁移指南。
以下示例调用 OpenAI API,需先设置环境变量(国内访问受限,推荐使用国产替代模型):
export OPENAI_API_KEY="sk-..."
创建一个基于 GPT-4.1 的助手智能体:
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
async def main() -> None:
model_client = OpenAIChatCompletionClient(model="gpt-4.1")
agent = AssistantAgent("assistant", model_client=model_client)
print(await agent.run(task="Say 'Hello World!'"))
await model_client.close()
asyncio.run(main())
npm install -g @playwright/mcp@latest
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_agentchat.ui import Console
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StdioServerParams
async def main() -> None:
model_client = OpenAIChatCompletionClient(model="gpt-4.1")
server_params = StdioServerParams(
command="npx",
args=["@playwright/mcp@latest", "--headless"],
)
async with McpWorkbench(server_params) as mcp:
agent = AssistantAgent(
"web_browsing_assistant",
model_client=model_client,
workbench=mcp,
model_client_stream=True,
max_tool_iterations=10,
)
await Console(agent.run_stream(
task="Find out how many contributors for the microsoft/autogen repository"
))
asyncio.run(main())
⚠️ 仅连接可信的 MCP 服务器,避免执行恶意命令或泄露敏感信息。
翻译整理自 GitHub README,原文:https://github.com/microsoft/autogen