Python SDK token refresh hanging on long-running jobs

The Genesys Cloud Python SDK is supposed to handle OAuth refreshes automatically, but my script keeps dying after an hour with a 401 error. I’m pulling queue stats in a loop, and the internal refresh mechanism seems to fail silently or hang. Here’s the setup:

from genesyscloud.auth import oauth_client
client = oauth_client.OAuthClient(client_id, client_secret)
client.login()
api = analytics_api.AnalyticsApi(client)

I’m not calling refresh_token manually because the docs say it’s automatic. Yet, after ~3500 requests, the get_analytics_data calls start returning {'error': 'invalid_grant'}. Is there a config flag I’m missing, or do I still need to wrap the API calls in a retry loop that checks for 401s and forces a re-auth?

The OAuthClient handles refreshes, but it doesn’t auto-retry failed requests. When that token expires mid-loop, the SDK throws a 401 and stops. You need to wrap your calls in a retry mechanism that checks for expired tokens.

Here’s a quick fix using requests session hooks or just a simple wrapper. The key is catching the ApiException with status 401, forcing a refresh, then retrying the exact same call. Don’t just call client.login() again, that creates a new session. Use client.refresh_access_token() instead.

from genesyscloud.rest import ApiException

def safe_call(api_method, *args, **kwargs):
 try:
 return api_method(*args, **kwargs)
 except ApiException as e:
 if e.status == 401:
 client.refresh_access_token()
 return api_method(*args, **kwargs) # Retry
 raise e

# Usage
stats = safe_call(api.get_queue_stats, queue_id="123")

This keeps your long-running jobs alive without manual token management. Just ensure your client object is shared scope.