Is it possible to bypass the standard rate limiting for the POST /api/v2/routing/predictivequeuing/interactions endpoint when simulating burst traffic from a single IP range? We are running load tests against the Genesys Cloud environment in Singapore (AP-SG) using JMeter 5.6.2. The goal is to validate the system’s ability to handle a sudden spike of 5,000 concurrent outbound call attempts within a 10-second window.
Currently, we are hitting a hard cap. After approximately 200 successful enqueues, the platform starts returning HTTP 429 Too Many Requests errors with the Retry-After header set to 30 seconds. This is happening even though our tenant’s configured rate limit for predictive routing interactions is supposedly higher. We have verified that the WebSocket connections for the agents are stable and that the WFM publish events are not occurring during these test windows, so the issue doesn’t seem to be related to the backend scheduling storms we’ve seen previously.
Here is the payload structure we are sending for each interaction:
{
"contactId": "test_contact_12345",
"priority": 1,
"attributes": {
"campaignId": "predictive_campaign_load_test",
"phoneNumber": "+6591234567",
"testMode": true
},
"skillIds": [
"skill_id_outbound_sales"
]
}
The JMeter thread group is configured with 5,000 users, ramp-up time of 5 seconds, and a loop count of 1. We are using the HTTP Request sampler with the appropriate Bearer token authentication. The error logs in JMeter show:
Response code: 429
Response message: Too Many Requests
Retry-After: 30
We suspect this might be a per-IP rate limit rather than a per-tenant limit, but the documentation is unclear on whether predictive routing endpoints share the same throttling pool as the general platform_api. Has anyone successfully modeled burst traffic for predictive campaigns without hitting these 429s? Are there specific headers or request batching techniques we should be using to mitigate this? We need to understand if this is a hard limit we must work around or if our test configuration is triggering an unintended safety mechanism.