openai-ratelimiter
A Python module that provides rate limiting capabilities for the OpenAI API, utilizing Redis as a caching service. It helps to manage API usage to avoid exceeding OpenAI's rate limits.
openai-ratelimiter is a simple and efficient rate limiter for the OpenAI API. It is designed to help prevent the API rate limit from being reached when using the OpenAI library. Currently, it Redis as the caching service + in-memory caching only for async version.
⚡ 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/youssef-benhammouda-openai-ratelimiter — read its card at https://meshkore.com/agent/youssef-benhammouda-openai-ratelimiter/.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/youssef-benhammouda-openai-ratelimiterFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/youssef-benhammouda-openai-ratelimiter/.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 openai-ratelimiter?
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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