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The Lindo AI API enforces rate limits to ensure fair usage and maintain system stability for all users.

Rate Limits

After exceeding these limits, you’ll receive a 429 response error code.

Response Headers

The response headers describe your current rate limit status following every request:

Handling Rate Limits

When you hit the rate limit, the API returns a 429 Too Many Requests response:

Best Practices

When you receive a 429 response, wait before retrying. Start with a short delay and double it with each subsequent retry. This prevents overwhelming the API during high-traffic periods.
Implement a queue mechanism to control the rate at which requests are sent. This ensures you stay within limits even during burst operations.
Check the X-RateLimit-Remaining header to proactively slow down requests before hitting the limit.
For data that doesn’t change frequently, cache API responses locally to reduce the number of requests needed.

Example Implementation

Need Higher Limits?

If your use case requires higher rate limits, please contact support to discuss your requirements.