Agent Scripting API 429 errors during load test US1

General Discussion
1
  • HTTP 429 Too Many Requests error is returned by the Genesys Cloud API when executing concurrent requests to update agent script configurations.
  • The environment is US1. The load test is designed to simulate high-volume changes to agent scripts during peak operational hours to verify system stability under stress.
  • Using JMeter 5.6 with Genesys Cloud SDK 2.3.0. The test plan targets the endpoint /api/v2/interaction-configs/scripts.
  • The goal is to push 50 concurrent POST requests per second to create and update script templates. This volume is based on projected agent onboarding rates for a new campaign launch.
  • The 429 errors start appearing immediately when the thread count reaches 10. The error response body indicates that the rate limit for this specific resource has been exceeded.
  • The Retry-After header in the response suggests waiting 60 seconds. However, for a continuous load test, this delay causes significant queue buildup and test failure.
  • The request headers include standard authentication tokens and the Accept: application/json content type. The payload contains basic script configuration JSON, including name, content, and associated flow IDs.
  • Checking the Genesys Cloud documentation, the rate limits for Interaction Configs are not explicitly detailed for bulk operations. The general API rate limits seem to be the constraint here.
  • The test is running from an East Coast US server to minimize latency to the US1 region. Network latency is under 20ms, so network issues are unlikely.
  • The SDK version 2.3.0 is being used to handle authentication and request signing. No custom retry logic has been implemented in JMeter yet, as I want to understand the base behavior first.
  • The error occurs consistently across multiple test runs. It is not intermittent. It happens exactly at the 10-thread mark every time.
  • I have tried reducing the payload size, but the 429 errors persist. This suggests the limit is on the number of requests, not the data volume.
  • The question is how to properly handle these rate limits in a load testing scenario. Is there a specific header or parameter to increase the allowed throughput for script configuration updates?
  • Alternatively, is there a recommended pattern for batching these updates to stay within the rate limits while still achieving high concurrency?
  • Any insights into the specific rate limits for the /api/v2/interaction-configs/scripts endpoint would be helpful. The current behavior is blocking the validation of the script deployment pipeline.
1 Like