AI-Robot-FastAPI-LangChain-RAG-CrewAI-Agent-
一个开箱即用的完整智能客服服务：基于 FastAPI + LangChain RAG + CrewAI 多 Agent 构建， 提供意图识别路由、知识库问答、多智能体协作、SSE 流式对话等核心客服能力，并内置 检索工程（BM25+RRF+reranker）、稳定性工程（重试/限流/语义缓存）、可观测性（实时监控控制台） 与效果评估体系（RAGAS 评测闭环），可直接部署上线，也可作为独立 AI 服务被现有业务系统（如 Spring Cloud / Node.js 后端）通过 HTTP/SSE 集成调用。
上传文档入库（multipart 表单，字段名 file）。支持 .pdf / .docx / .md / .txt / .markdown。
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/liubaijiangde-bot-ai-robot-fastapi-langchain-rag-crewai-agent — read its card at https://meshkore.com/agent/liubaijiangde-bot-ai-robot-fastapi-langchain-rag-crewai-agent/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/liubaijiangde-bot-ai-robot-fastapi-langchain-rag-crewai-agentFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/liubaijiangde-bot-ai-robot-fastapi-langchain-rag-crewai-agent/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own AI-Robot-FastAPI-LangChain-RAG-CrewAI-Agent-?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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