Panduan API Rate‑Limit: Membangun Local Proxy dengan Token Bucket

Chronological Source Flow
Back

AI Fusion Summary

Many API services implement rate limits to prevent server overload, often resulting in 429 Too Many Requests responses. While exponential backoff is a common solution, it still allows burst requests to reach the upstream. A superior approach involves a local proxy that buffers requests, regulates output rhythmically, and caches responses. This implementation utilizes Python with FastAPI and httpx to create a minimal architecture that effectively manages rate limits and ensures smoother API communication flows.
Community Comments
Loading updates...
0