honegumi-rag-assistant
Agentic AI system for generating Bayesian optimization code from natural language using LangGraph and OpenAI GPT models
An agentic workflow for Bayesian optimization code generation, built with LangGraph and powered by OpenAI models. Honegumi RAG Assistant codifies the end-to-end pipeline—parameter extraction, skeleton code generation, documentation retrieval, and code synthesis—into reusable nodes orchestrated as a LangGraph. LangSmith integration tracks and visualizes your graph executions. The result? Complete, ready-to-run Bayesian optimization code generated in seconds from natural language descriptions.
⚡ 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/hasan-muhammad-sayeed-honegumi-rag-assistant — read its card at https://meshkore.com/agent/hasan-muhammad-sayeed-honegumi-rag-assistant/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/hasan-muhammad-sayeed-honegumi-rag-assistantFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/hasan-muhammad-sayeed-honegumi-rag-assistant/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own honegumi-rag-assistant?
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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