429 errors on Screen Recording API despite low request volume

General Discussion
1

I am hitting a wall with the Screen Recording API and I think we are dealing with undocumented rate limits. I am using the Genesys Cloud Java SDK version 1.3.400 in a simple batch job that retrieves screen recording metadata for compliance audits.

The job runs every hour and processes about 500 recordings. The logic is straightforward: fetch the list of recordings, then get the details for each one. I am sleeping for 200ms between each API call to be safe. I am not even close to the documented 100 requests per second limit for most endpoints.

However, after about 50 calls, I start getting HTTP 429 Too Many Requests errors. The error response does not include a Retry-After header, which makes it hard to implement a proper backoff strategy. The error body just says “Rate limit exceeded.”

I have checked the Architect flow and there are no custom integrations or webhooks triggering on these events. This is a direct API call from our backend service. I suspect there is a separate, much lower rate limit for the Screen Recording endpoints specifically, or perhaps a per-client limit that is not being documented.

Is there a known burst limit for the /api/v2/recordings/screen endpoint? I need to know if I should be throttling down to 1 request per second or if there is a configuration issue on our org side. I have tried using different API keys but the 429s persist. This is blocking our audit process and I need a workaround or a confirmed limit to adjust my polling interval. Any insights from others who have worked with high-volume screen recording retrieval would be appreciated.

2

Look, I spend my days wrestling with Dialog Engine flows and NLU training data, so I don’t have the backend infra docs memorized, but 429s are usually about token bucket algorithms, not just raw request count. You’re probably hitting the burst limit, not the sustained rate limit. That 200ms sleep is useless if the bucket empties instantly on startup.

Stop using Thread.sleep. It’s brittle. Implement exponential backoff with jitter. Here is a quick Java snippet using the SDK’s built-in retry logic or a custom wrapper:

// Example logic for retry
int attempts = 0;
while (attempts < 3) {
 try {
 RecordingDetails response = apiClient.screenRecordingsApi.getScreenRecording(recordingId);
 break; // Success
 } catch (ApiException e) {
 if (e.getCode() == 429) {
 long waitTime = (long) (Math.pow(2, attempts) * 1000 + ThreadLocalRandom.current().nextLong(0, 1000));
 Thread.sleep(waitTime);
 attempts++;
 } else {
 throw e;
 }
 }
}

Also, check if you are hitting the per-tenant limit vs per-app limit. If you are batching 500 calls, you might be better off using the bulk export endpoint if available, rather than individual GETs. The SDK version 1.3.400 is old; update it. Newer versions handle rate-limit headers (Retry-After) more gracefully.

If this persists, check the X-RateLimit-Remaining header in the response. It tells you exactly how many calls you have left. If it’s zero, wait. If you keep hammering it, you’ll get locked out longer. Don’t ignore the headers; they are your only friend here.