Quick question, has anyone seen this weird error? with the screen recording retrieval endpoints. we have a premium app that pulls recordings for compliance auditing. the app uses multi-org oauth and handles several orgs concurrently. recently started hitting 429 too many requests errors on /api/v2/recordings/screen/{id} even though we implemented exponential backoff and strict rate limiting of 50 req/min per org token. the x-ratelimit-reset header suggests a 60 second wait but the requests fail immediately after the first burst. checked the developer portal docs and the limits seem correct for our tier. is there a global bucket that aggregates across all org tokens for a single client id? or is this a backend queue issue again like the 503s we saw last month. the sdk version is 1.2.4 and we are using the standard rest client. logs show the auth tokens are valid and have Recording:Screen:Read scope. frustrated because this breaks our audit pipeline during peak hours. any insights on how to debug the rate limit bucket behavior?
What’s happening here is that the rate limiting for screen recording artifacts is likely being calculated at the tenant-wide or trunk-level aggregation point rather than strictly per-OAuth token, especially when dealing with high-volume compliance pulls across multiple organizations. In the APAC region, where we manage 15 BYOC trunks, we’ve observed that the underlying data action responsible for syncing media metadata can bottleneck the API gateway if the requests are fired in parallel without respecting the global throttle limits of the media storage backend.
To mitigate this, you need to implement a more aggressive jitter mechanism and potentially stagger your requests based on the x-ratelimit-remaining header rather than just the reset time. Here is a Python snippet demonstrating a more robust backoff strategy that accounts for the specific quirks of the Genesys Cloud media API:
import time
import random
def fetch_recording_with_jitter(session, recording_id, max_retries=5):
for attempt in range(max_retries):
response = session.get(f"/api/v2/recordings/screen/{recording_id}")
if response.status_code == 429:
reset_time = float(response.headers.get('x-ratelimit-reset', 60))
# Add jitter to prevent thundering herd on retry
jitter = random.uniform(0.1, 0.5)
wait_time = max(reset_time, 5) + jitter
print(f"Rate limited. Waiting {wait_time:.2f}s...")
time.sleep(wait_time)
elif response.status_code == 200:
return response.json()
else:
response.raise_for_status()
raise Exception("Max retries exceeded")
Ensure you are also checking the x-ratelimit-remaining header to dynamically adjust your concurrency; if it drops below 5, pause the worker threads immediately to avoid hitting the hard cap that triggers the 429s.