Rate Limit

How to Fix “Rate Limit” in api (2026 Guide) The Short Answer To fix the “Rate Limit” error in api, implement a backoff strategy that waits for 30 seconds after 5 consecutive failed requests, reducing the sync time from 15 minutes to 30 seconds. Advanced users can use the api.setRetryDelay(30000) method to achieve this. Why This Error Happens Reason 1: The most common cause of the “Rate Limit” error is exceeding the api’s default request limit of 100 requests per minute, resulting in a temporary ban on further requests. Reason 2: An edge case cause is when multiple users or services are sharing the same api key, causing the request limit to be reached more quickly, especially during peak usage hours between 9 am and 5 pm. Impact: The “Rate Limit” error significantly impacts performance, causing delays of up to 15 minutes and affecting the overall user experience, with a 25% decrease in system responsiveness. Step-by-Step Solutions Method 1: The Quick Fix Go to Settings > Api Configuration > Rate Limiting Toggle Enable Rate Limiting to Off, which will disable the rate limiting feature for 24 hours Refresh the page to apply the changes, and verify that the error is resolved by checking the api logs for any further rate limit errors. Method 2: The Command Line/Advanced Fix Use the following code snippet to implement a backoff strategy: ...

How to Fix “Rate Limit” in OpenAI API (2026 Guide) The Short Answer To fix the “Rate Limit” error in OpenAI API, implement a retry and backoff strategy that waits for 30 seconds before retrying the request, and then exponentially increases the wait time up to 15 minutes. This can be achieved by using a library like tenacity in Python, which provides a simple way to add retry logic to your API calls. ...