Individual skill
cloudbase-agent-python
Build production-ready AI agent backends using the CloudBase Agent Python SDK — create agents with LangGraph/CrewAI/LlamaIndex, serve them via FastAPI with AG-UI protocol streaming + OpenAI-compatible endpoints, add tools (bash, filesystem, MCP, code execution), memory (in-memory, TDAI, MySQL, MongoDB), observability (OpenTelemetry/Langfuse), and middleware (auth, logging). Use this skill when the user wants to create an AI agent server, build a chatbot backend, set up human-in-the-loop workflows, integrate MCP tools, add agent observability, or deploy an agent API — even if they don't explicitly mention 'CloudBase Agent.'
plugin/cloudbase/skills/cloudbase-agent/py/skill.md
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- Last checked
- Nov 3, 2026
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- Repository last updated
- Nov 6, 2026
- License
- MIT
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- ai Repository topic
- cloudbase Repository topic
- mcp Repository topic
- miniprogram Repository topic
- tencent Repository topic
- web Repository topic
- aicoding Repository topic
- supabase Repository topic
- vibe-coding Repository topic
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LICENSE.mddoc · 1,074 bytesadapter-coze.mddoc · 9,666 bytesadapter-development.mddoc · 17,170 bytesadapter-langgraph.mddoc · 14,678 bytesagent-deployment.mddoc · 14,285 bytesauthentication.mddoc · 14,607 bytesreferences/observability.mddoc · 8,796 bytesreferences/recipes.mddoc · 9,126 bytesreferences/server.mddoc · 4,858 bytesreferences/storage.mddoc · 6,843 bytesreferences/tools.mddoc · 4,832 bytesserver-quickstart.mddoc · 11,359 bytesskill.mdcore · 12,117 bytesskill.mdcore · 12,117 bytesskill.mdcore · 12,117 bytesskill.mdcore · 12,117 bytesskill.mdcore · 12,117 bytesskill.mdcore · 12,117 bytesskill.mdcore · 12,117 bytes
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# CloudBase Agent Python SDK
Build production-ready AI agent backends with multi-framework support, streaming
protocol, rich tools, persistent memory, and full observability.
> **Note:** This skill is for **Python** projects only.
## When to use this skill
Use this skill for **AI agent development** when you need to:
- Deploy AI agents as HTTP services with AG-UI protocol support
- Build agent backends using LangGraph, CrewAI, or LlamaIndex frameworks
- Create custom agent adapters implementing the AbstractAgent interface