AutoGen-构建问答智能体

概述

如https://github.com/microsoft/autogen所述，autogen是一多智能体的框架，属于微软旗下的产品。

依靠AutoGen我们可以快速构建出一个多智能体应用，以满足我们各种业务场景。

环境说明

• python，3.10
• AutoGen，0.4.2
• chainlit，2.0.2
• 大模型，deepseek 

安装依赖

pip install autogen-agentchat openai autogen-ext

        使用UI交互界面为Chainlit 安装chainlit命令

pip install chainlit

3.示例一，聊天机器人

应用场景：创建一个聊天机器人，让他给你回复

代码

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @File    : ai_hub.py
# @Software: PyCharm
import chainlit as cl
from autogen_agentchat.agents import AssistantAgent
from autogen_agentchat.teams import RoundRobinGroupChat
from autogen_ext.models.openai import [e-mail]_chat_start
async def main():await cl.Message(content="sir 我是贾维斯，有什么可以帮您？").send()async def run_team(query: str):model_client = OpenAIChatCompletionClient(model="deepseek-chat", base_url="https://api.deepseek.com",api_key="YOU DEEPSEEK API KEY", model_info={"vision": False,"function_calling": False,"json_output": True,"family": "unknown",}, )assistant_agent = AssistantAgent("assistant", model_client=model_client,system_message="你是一个机器人，请根据你所会的知识与用户进行友好交流！")team = RoundRobinGroupChat(participants=[assistant_agent], max_turns=1)response_stream = team.run_stream(task=query)async for msg in response_stream:if hasattr(msg, "source") and msg.source != "user" and hasattr(msg, "content"):msg = cl.Message(content=msg.content, author="Agent Team")await msg.send()@cl.on_message
async def main(message: cl.Message):await run_team(message.content)

启动机器人

chainlit run .\ai_hub.py -w

结果及界面