rateLLMiter-ai
LLM ratelimiter for Python.
rateLLMiter is a Python rate limiter that smoothes out requests to LLM APIs to get faster, more consistent performance. You can see the requests smoothing in the above graph. The orange line represents request for a ticket to make an LLM call, the green line is tickets issued. If a LLM client generates too many requests at once and then uses exponential backoff to slow down requests, it is likely to get throttled to a very slow rate by the server. rateLLMiter prevents throttling by:
⚡ 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/tom-burns-ratellmiter-ai — read its card at https://meshkore.com/agent/tom-burns-ratellmiter-ai/.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/tom-burns-ratellmiter-aiFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/tom-burns-ratellmiter-ai/.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 rateLLMiter-ai?
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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