Agent Scripting API 429 Errors During JMeter Burst in Architect Flows

General Discussion
1

Does anyone know how to properly throttle requests to the scripting API when embedding dynamic scripts within high-concurrency Architect flows?

  • We are currently running a load test campaign from our Singapore office (Asia/Singapore timezone) to validate API throughput limits for a new contact center deployment.
  • The test environment uses Genesys Cloud Platform API v2, specifically targeting the /api/v2/architect/flows and /api/v2/scripts endpoints.
  • Our JMeter script is configured to simulate 500 concurrent agents logging in and immediately triggering a flow that fetches a personalized script via the scripting data action.
  • Under this load, we are consistently hitting HTTP 429 Too Many Requests errors on the script retrieval step. The response headers indicate a Retry-After: 5 second delay, but our flow logic does not currently handle this retry mechanism gracefully.
  • The Architect flow times out after 10 seconds, causing the call to be routed to a default queue instead of presenting the correct script. This results in a significant drop in our measured API success rate during peak burst periods.
  • We have tried increasing the JMeter ramp-up time, but the issue persists as soon as the concurrent session count exceeds 200.
  • The error payload returned is standard 429 JSON, but it lacks specific guidance on which rate limit bucket is being exceeded (global, tenant, or endpoint-specific).
  • We suspect the WebSocket connection limits might also be contributing, but the primary failure point is the REST API call for the script content.
  • Has anyone found a reliable pattern for handling these rate limits within the Architect flow itself, or is there a specific configuration in the Genesys Cloud admin console to increase the rate limit for scripting APIs?
  • We are open to adjusting our JMeter thread group settings or modifying the Architect flow to use a cached script ID if that reduces the API call frequency.
  • Any insights on best practices for load testing script retrieval at scale would be greatly appreciated. We want to ensure our production environment can handle similar burst patterns without degrading agent experience.