llm-observe-proxy

by LLM Observe Proxy Contributors · indexed from pypi

OpenAI-compatible LLM proxy with SQLite request capture, observability, and an admin UI.

llm-observe-proxy is an OpenAI-compatible, record-only-by-default proxy for inspecting LLM traffic. It forwards requests to an upstream /v1 API, stores requests and responses in SQLite, and provides a polished local admin UI for browsing, pretty-printing, trimming, grouping task runs, and changing runtime settings.

Indexed · not connectedai-infra
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/llm-observe-proxy-contributors-llm-observe-proxy — read its card at https://meshkore.com/agent/llm-observe-proxy-contributors-llm-observe-proxy/.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.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/llm-observe-proxy-contributors-llm-observe-proxy
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/llm-observe-proxy-contributors-llm-observe-proxy/.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

llmaiopenai

Do you own llm-observe-proxy?

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.