Strategies for Managing Rate Limits on Free LLM APIs

Developers using free tiers of LLM APIs often encounter HTTP 429 errors, which indicate rate limits have been exceeded. These limits can be based on requests per minute, tokens per minute, requests per day, or concurrency, each requiring a different solution. Providers like Groq and Gemini provide specific headers in their error responses to identify the exhausted limit and suggest a retry time. A recommended approach is to implement exponential backoff retries, use multiple provider keys as a pooled resource, and consider dedicated routing tools to manage these complexities automatically.