Your AI Agent Crashes on 429 Errors and You're Burning Money
Your AI Agent Crashes on 429 Errors and You're Burning Money Handling rate limits the right way saves you from unexpected bills and keeps your app reliable. Why 429 Errors Matter When you call an AI service (OpenAI, Anthropic, Cohere, etc.) you're usually limited by a rate limit – a maximum number of requests per minute or per day. If you exceed it, the API returns HTTP 429 Too Many Requests . If…
Exceeding API rate limits leads to 429 Too Many Requests errors, causing lost work and escalating costs if handled poorly. Graceful handling involves pausing, respecting Retry-After headers, applying exponential backoff, and logging for tuning. The provided Python script demonstrates a retry function that detects 429 errors, uses the Retry-After header or exponential backoff, caps attempts to avoid infinite loops, and logs occurrences for analysis.
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