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managed-agent-sdk(Python)

腾讯云 WorkBuddy 企业版 Managed Agent 的 Python SDK。

控制面走腾讯云 API(TC3 签名),数据面走 ACP 协议,两段凭证由 SDK 内部缝合。

pip install managed-agent-sdk

要求 Python 3.10 ~ 3.14。Node 版见 @tencent-ai/managed-agent-sdk,两侧 API 语义一致。

凭证

从环境变量读取,或在构造时显式传入:

export TENCENTCLOUD_SECRET_ID=你的SecretId
export TENCENTCLOUD_SECRET_KEY=你的SecretKey

只支持长期密钥,不支持 STS 临时密钥。数据面(ACP)的凭证由 SDK 用这套密钥自动换取并缓存,无需单独配置。

快速开始

import asyncio

from managed_agent_sdk import (
    CreateAgentOpts,
    CreateSessionOpts,
    CreateVersionOpts,
    ManagedAgentClient,
    ManifestBuilder,
)


async def main() -> None:
    async with ManagedAgentClient() as client:
        # 创建 Agent
        agent = await client.agents.create(
            CreateAgentOpts(
                agent_name="日志分析助手",
                model="deepseek-v3",
                manifest=ManifestBuilder().system_prompt("你是日志分析专家").build(),
            )
        )

        # 创建版本(manifest 服务端必填)
        version = await agent.versions.create(
            CreateVersionOpts(
                manifest=ManifestBuilder().system_prompt("你是日志分析专家").build(),
            )
        )

        # 创建会话(拉起真实沙箱,不会自动回收 —— 尽量复用)
        session = await agent.sessions.create(
            CreateSessionOpts(version_id=version.version_id)
        )

        # 对话
        res = await session.prompt("分析这份日志")
        print(res.stop_reason)

        await session.disconnect()


asyncio.run(main())

prompt() 的返回值只携带 stop_reason,回复文本从 on_chunk 取 —— 流式内容与终局结果分两条通道,这是 ACP 的协议设计。

配置连接器 / 技能 / 专家

三类资源的配置入口不统一,这是最容易配错的地方:

资源 查询 配置入口 最终落点
连接器(MCP) client.connectors.list() connector_ids(Action 入参) 服务端物化成 manifest 的 mcp_servers
技能 client.skills.list() ManifestBuilder.skills() manifest 的 skills
专家 client.experts.list() ManifestBuilder.experts() manifest 的 experts

技能与专家进 manifest,连接器不进 —— 只把 ID 交给服务端,由它查网关地址后物化。 自己往 manifest 里写 mcp_servers 会与之重复。

skills = await client.skills.list("BUILTIN", ListSkillsOpts(limit=50))
connectors = await client.connectors.list_active()

agent = await client.agents.create(
    CreateAgentOpts(
        agent_name="运维助手",
        manifest=(
            ManifestBuilder()
            .system_prompt("你是运维专家")
            .skills([{"type": "builtin", "id": s["SkillId"]} for s in skills.items])
            .build()
        ),
        connector_ids=[c["ConnectorId"] for c in connectors.items],  # 独立入参
    )
)

connector_ids 是该版本最终要绑的完整集合,服务端按它做全量覆盖 —— 改绑定直接传新集合,解绑从列表里去掉即可,传 [] 解绑全部。

两条约定

入参 snake_case,出参 PascalCase。 出参原样透传云 API 字段名,便于对照官方文档排查。

不做控制面自动重试。 Create* 类接口非幂等且服务端不提供 ClientToken,重试 sessions.create() 会重复拉起沙箱并产生真实费用。唯一例外是 ACP 断线重连(Last-Event-ID 断点续传,不重放 prompt)。

会话即沙箱,且不会自动回收。 sessions.create() 每次调用都拉起一个真实沙箱。注意 disconnect() 只断 ACP 连接,不释放沙箱 —— 服务端既没有销毁会话的接口,也没有空闲超时回收(IDLE 只是「上一轮对话结束」的轮次状态,沙箱照常运行)。要复用会话,别在循环里反复新建。

文档

完整 API 参考、错误码表、已知问题见 Managed Agent SDK 文档。

Release files for managed-agent-sdk 0.0.2

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