Hello! writing a script to update the station assignments for over a thousand remote agents. I am using the /api/v2/users/{userId}/station/defaultstation endpoint in a loop, but I am consistently hitting 429 ‘Too Many Requests’ errors after the first few hundred updates. I have tried adding a small sleep timer between requests, but the script still fails occasionally. What is the most effective way to handle these rate limits when performing large-scale provisioning tasks via the Platform API?
This is incredibly frustrating. I design flows but also end up doing a lot of this admin work. The 429 errors are not just based on a simple per-second limit; Genesys Cloud also has minute-level and token-level limits that are often undocumented. Your small sleep timer is probably not enough. You must implement a proper ‘Exponential Backoff’ strategy. When you receive a 429, you need to read the Retry-After header in the response, which tells you exactly how many seconds you must wait before sending another request. If you ignore that header, the platform will continue to block you and might even revoke your token temporarily.
Hi everyone! MS Teams direct routing, but I love automating things! is spot on about the Retry-After header! If you are using Python, the Genesys Cloud SDK actually has a built-in retry mechanism that you can enable, which handles the exponential backoff automatically for you! It is a huge time-saver. You just need to configure the ApiClient with a custom retry policy. It makes bulk operations so much smoother!