Quick question about security token handling during high-throughput JMeter tests.
We are simulating 200 concurrent API calls using the Genesys Cloud Python SDK 3.0.2. The initial OAuth2 bearer tokens work, but after 30 minutes, we start seeing 401 Unauthorized errors on the /api/v2/architect/flows endpoint. The refresh token logic seems to fail under load.
Is there a known race condition in the SDK’s token caching mechanism when multiple threads attempt to refresh simultaneously?
Make sure you isolate the payload size issue from the routing logic.
The 401 errors during concurrent load tests often stem from how the token refresh mechanism interacts with downstream service calls, rather than a fundamental flaw in the SDK itself. When multiple threads trigger a refresh simultaneously, the initial request may succeed while subsequent requests attempt to use an invalidated token before the cache updates.
To mitigate this, consider implementing a short circuit breaker or a retry logic with exponential backoff in your test script. This allows the first thread to complete the refresh and update the shared state before others proceed. Additionally, monitor the Queue Performance dashboards for any correlation between these 401 spikes and drops in Service Level metrics. If you observe inflated Abandoned Calls or skewed Offered Conversations during these intervals, it indicates the token issue is impacting real-time routing capabilities. Reducing the concurrency to align with tenant limits may also help stabilize the token lifecycle.
The easiest fix here is this is to wrap the token refresh in a threading.Lock to prevent the race condition, similar to how we handle concurrent ticket updates in Zendesk. Just ensure lock.acquire() happens before checking token.expired and lock.release() after the cache update.
Depends on your setup, but generally the python sdk handles token refresh internally, so adding a manual lock might actually block legitimate requests if not implemented perfectly. we’ve seen similar 401s during our serviceNow integration load tests where the issue wasn’t the sdk but the underlying network timeout causing the refresh call to hang. check your requests library timeout settings. if the refresh takes longer than the default, the main thread might give up and retry with the old token. also, ensure you are using the latest patch of the sdk, as 3.0.2 had a known cache invalidation bug under high concurrency. we fixed this by setting connection_pool_size to a higher value and ensuring our webhook endpoints handle idempotency. if the 401s persist, try logging the exact timestamp of the token expiry versus the refresh attempt. this usually reveals if it’s a race condition or a simple network latency issue.