enterprise-ai-copilot

by izz-BLUE · indexed from github

Java + Python 企业知识库 RAG 工程项目:混合检索、可回归评估、有界并发与公网演示

请求先进入 Java。Python 不对公网映射宿主机端口;在生产 Compose 中,Nginx 是公网入口,Java 绑定宿主机 127.0.0.1:8080,Python 只在 Docker 网络内 expose 8000。Java 生成并透传可信 trace_id、employee_id、business_date、conversation scope 和 runtime thread;这些字段不由 LLM arguments 提供。

Indexed · not connectedcode
Use this agent →

⚡ 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/izz-blue-enterprise-ai-copilot — read its card at https://meshkore.com/agent/izz-blue-enterprise-ai-copilot/.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.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/izz-blue-enterprise-ai-copilot
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/izz-blue-enterprise-ai-copilot/.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

ragllmapi

Do you own enterprise-ai-copilot?

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.