gemini-api-rate-limiting

Rate limiting errors occur when API calls exceed quota. Implement a sequential asynchronous queue using for...of loops with strategic delays between requests, exponential backoff on 429 errors, and timeouts to prevent hung requests. This serializes calls instead of sending burst traffic.

Process bulk operations sequentially rather than in parallel. Queue each API call with explicit delays (typically 2+ seconds), add exponential backoff retry logic for 429 errors, and implement timeouts. This ensures predictable latency and preserves API quota across image generation, data processing, and initialization workflows.

Exponential backoff increases wait time between retry attempts: first retry waits 1 second, second waits 2 seconds, third waits 4 seconds, and so on. When the Gemini API returns a 429 error, this approach gives rate limits time to reset before resending the request, improving success rates without wasting quota.

Yes. Queue image generation requests sequentially with delays between each call. This prevents simultaneous requests that trigger rate limiting, allowing multiple images to generate reliably. Add timeouts to each request and exponential backoff on failures for robust error handling.

Implement rate limiting when generating multiple images, processing bulk data, initializing features with many API calls, or any workflow making frequent Gemini API requests. Parallel requests quickly exhaust quota and trigger 429 errors; sequential queuing with delays ensures smooth operations at scale.

Timeouts prevent requests from hanging indefinitely when the API is slow or unresponsive. Pair timeouts with exponential backoff retry logic: catch the timeout error, apply exponential delay, and retry the request. This maintains queue flow while handling transient server errors gracefully.