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.