Build a Free-Tier AI Proxy in Python to Route Around API Rate Limits

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A developer tutorial published on DEV Community demonstrates how to build a lightweight Python proxy that distributes AI model requests across multiple free-tier endpoints to avoid rate-limit errors. Instead of paying for higher API tiers, the approach treats rate limits as a scheduling problem by routing traffic intelligently among available upstreams. The proxy, written in roughly 100 lines using the httpx library, tracks per-upstream quotas within 60-second sliding windows and marks failing endpoints as temporarily unhealthy. MonkeyCode, an open-source project offering free model access with a 10-million-token allowance, is used as one of the upstream providers in the example. The article notes the pattern is provider-agnostic and suggests adding circuit breakers and persistent quota storage for production use cases.

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