AgentScope（多Agent平台）

# 基于 agentscope>=1.0.0（截至 2026-03，Apache 2.0 许可证）
pip install agentscope

# 基于 agentscope>=1.0.0 验证（截至 2026-03）
import asyncio
from agentscope.agent import ReActAgent
from agentscope.model import OpenAIChatModel
from agentscope.formatter import OpenAIChatFormatter
from agentscope.message import Msg

# 1. 创建模型和格式化器
model = OpenAIChatModel(model_name="gpt-4", api_key="your-openai-api-key")
formatter = OpenAIChatFormatter()

# 2. 创建两个 Agent
assistant = ReActAgent(
    name="assistant",
    sys_prompt="你是一个技术顾问，用简洁的中文回答问题",
    model=model,
    formatter=formatter,
)

critic = ReActAgent(
    name="critic",
    sys_prompt="你是一个评审员，对回答提出改进建议",
    model=model,
    formatter=formatter,
)

# 3. 运行对话
async def main():
    # 用户提问
    user_msg = Msg(name="user", role="user", content="什么是多Agent系统？")

    # 助手回答
    reply = await assistant(user_msg)
    print(f"[{reply.name}]: {reply.content}\n")

    # 评审员反馈
    feedback = await critic(reply)
    print(f"[{feedback.name}]: {feedback.content}")

asyncio.run(main())

[assistant]: 多Agent系统是由多个独立的智能体协同工作的系统，每个Agent有自己的目标和能力，通过消息通信来完成复杂任务...

[critic]: 回答整体清晰，建议补充一个具体例子，比如客服系统中不同Agent分别处理咨询、投诉、退款...

import asyncio
from agentscope.pipeline import MsgHub
from agentscope.agent import ReActAgent
from agentscope.model import OpenAIChatModel
from agentscope.formatter import OpenAIChatFormatter
from agentscope.message import Msg

model = OpenAIChatModel(model_name="gpt-4", api_key="your-openai-api-key")
formatter = OpenAIChatFormatter()

# 创建三个角色
researcher = ReActAgent(name="researcher", sys_prompt="你负责收集信息要点", model=model, formatter=formatter)
writer = ReActAgent(name="writer", sys_prompt="你负责撰写内容", model=model, formatter=formatter)
reviewer = ReActAgent(name="reviewer", sys_prompt="你负责审核质量", model=model, formatter=formatter)

# 注册到消息中心
msghub = MsgHub(participants=[researcher, writer, reviewer])

async def workflow():
    task = Msg(name="user", role="user", content="请围绕'AI安全'主题完成一篇短文")
    # 顺序执行：研究 -> 写作 -> 审核
    research = await researcher(task)
    article = await writer(research)
    review = await reviewer(article)
    print(f"审核结果：{review.content}")

asyncio.run(workflow())

import asyncio
from agentscope.tool import Toolkit, execute_python_code
from agentscope.agent import ReActAgent
from agentscope.model import OpenAIChatModel
from agentscope.formatter import OpenAIChatFormatter
from agentscope.message import Msg

model = OpenAIChatModel(model_name="gpt-4", api_key="your-openai-api-key")
formatter = OpenAIChatFormatter()

# 创建工具包并注册工具
toolkit = Toolkit()
toolkit.register_tool_function(execute_python_code)

# 创建带工具的 Agent
coder = ReActAgent(
    name="coder",
    sys_prompt="你是编程助手，需要时可以执行Python代码",
    model=model,
    formatter=formatter,
    toolkit=toolkit,  # 绑定工具包
)

async def main():
    msg = Msg(name="user", role="user", content="请计算斐波那契数列前10项")
    result = await coder(msg)
    print(result.content)

asyncio.run(main())