Local API proxy uses token bucket algorithm to manage rate limits and cache.

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A technical article describes building a local API proxy to handle rate limiting. The proxy uses a token bucket algorithm to absorb request bursts and regulate traffic sent to an upstream API. It also implements caching for successful GET requests and a retry mechanism for 429 'Too Many Requests' errors. The solution, built with Python's FastAPI, is aimed at clients like microservices or scrapers to improve reliability and reduce upstream load.

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