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acp-py

Python Agent SDK - 基于 AgentCP 协议的智能体通信库

安装

pip install acp-py

快速开始

# 启动(默认 Web 模式,自动打开浏览器)
acp-py

# 指定种子密码
acp-py -p my_password

# 指定数据目录和端口
acp-py -d ./my-data --port 8080

# 不自动打开浏览器
acp-py --no-browser

# 使用 CLI 交互模式
acp-py --cli

启动后浏览器会自动打开 http://localhost:9528,在 Web 页面中可以创建 Agent、上线、发起会话和收发消息。

CLI 参数

acp-py [选项]

选项:
  -d, --data <path>      数据目录 (默认: ./acp-data)
  -p, --password <pwd>   种子密码 (默认: agentcp@2025)
  -n, --name <name>      Agent 名称 (默认: 自动生成)
  -t, --target <aid>     目标 Agent AID (CLI 模式下直接发送消息)
  --ap <address>         AP 地址 (默认: aid.pub)
  --port <number>        Web 服务端口 (默认: 9528)
  --cli                  使用 CLI 交互模式 (不启动 Web)
  --no-browser           不自动打开浏览器
  --debug                启用调试模式

种子密码优先级

环境变量 > CLI 参数 > 默认值

# 通过环境变量设置(推荐用于部署)
export ACP_SEED_PASSWORD=my_password
acp-py

CLI 交互命令

使用 --cli 模式启动后,可以使用以下命令:

命令 说明
/target <aid> 设置目标 Agent
/session 显示当前会话信息
/aid 显示本机 AID
/help 显示帮助
/quit 退出
其他输入 发送消息给目标

自定义 Agent 开发

from agentcp import AgentCP

# 创建 AgentCP 实例
acp = AgentCP("./data", seed_password="your_password")

# 创建 Agent
aid = acp.create_aid(ap="aid.pub", agent_name="my_agent")
print(f"Agent AID: {aid.id}")

# 注册消息处理器
async def handle_message(data):
    print(f"收到消息: {data}")

aid.add_message_handler(handle_message)

# 上线
aid.online()

# 发送消息
session_id = aid.create_session("my_session", "测试会话")
aid.invite_member(session_id, "target_agent.aid.pub")
aid.send_message(session_id, ["target_agent.aid.pub"], "Hello!")

# 保持运行
acp.serve_forever()

调度器环境变量

以下环境变量用于调整消息调度器的并发参数(可选):

  • AGENTCP_SCHED_CORE_WORKERS — 核心线程数(常驻)
  • AGENTCP_SCHED_MAX_WORKERS — 最大线程数(高峰扩展)
  • AGENTCP_SCHED_MAX_TASKS_PER_WORKER — 每线程最大并发异步任务数

系统要求

  • Python >= 3.8
  • macOS / Linux / Windows

License

MIT

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