Looking for some advice on troubleshooting this specific rate limiting issue with the Predictive Routing API. We are running a load test to validate concurrent outbound call capacity. The goal is to simulate 500 concurrent agents dialing via the POST /api/v2/analytics/predictiveroute/queue endpoint. We are using JMeter 5.6.2 with a thread group configured for 500 users, a ramp-up period of 60 seconds, and a loop count of 10.
The issue appears roughly 45 seconds into the ramp-up. We start seeing a high volume of 429 Too Many Requests responses. The response headers indicate Retry-After: 2, but our script does not implement exponential backoff yet. We have reviewed the Genesys Docs on API Rate Limits and understand the global limit of 100 requests per second per tenant for this specific endpoint. However, our calculated throughput should be well under this limit initially.
Here is the relevant JMeter configuration:
- Request Method: POST
- Path:
/api/v2/analytics/predictiveroute/queue - Payload Size: ~2KB (minimal JSON body with queue ID and campaign ID)
- HTTP Request Defaults: Keep-Alive enabled, Connection Timeout 5000ms
We are observing that the 429 errors persist even after the ramp-up completes and the steady state of 500 concurrent threads is reached. The error rate spikes to nearly 40% during the peak load. We suspect it might be related to how the API gateway handles WebSocket connections or session tokens during high concurrency, but we are not sure. The environment is a Genesys Cloud Org with a standard license, not the enterprise tier with custom rate limits.
Has anyone successfully load tested this endpoint with JMeter? Are there specific headers or payload optimizations we should consider to avoid hitting the rate limit so aggressively? We need to ensure the system can handle the burst without dropping valid requests. Any advice on configuring JMeter to handle 429s gracefully or insights into the actual rate limit behavior under load would be appreciated. We are currently just failing the test when these errors occur.