Could someone explain why we are hitting rate limits on the Quality API endpoints when running a moderate concurrent load? We are setting up a performance baseline for our WFM integration and using JMeter to simulate bulk quality form submissions.
The test is failing consistently after about 500 requests per minute. We are not seeing any issues with call volume APIs, but the Quality Management endpoints seem to have a much stricter throttle.
Here are our environment details:
- Genesys Cloud Region: US-East
- JMeter Version: 5.6.2
- Thread Count: 50 concurrent users
- API Endpoint: POST /api/v2/quality/evaluations
- Error Response: HTTP 429 Too Many Requests
- Retry-After Header: 2 seconds
We have tried adding a random delay between 100ms and 500ms between requests, but the 429 errors still occur. The documentation mentions default rate limits, but it is unclear if there is a specific limit for Quality evaluations versus other admin APIs.
Is there a known workaround or a different approach to handle bulk quality submissions during load testing? We want to ensure the system can handle our peak evaluation periods without blocking the API.
TL;DR: Batch requests to bypass per-request throttling.
I usually solve this by aggregating submissions into a single payload for the bulk endpoint. The standard /quality/evaluations route enforces strict per-minute limits. Switching to /api/v2/quality/evaluations/bulk allows up to 100 items per call, significantly reducing overhead for WFM integrations.
{
"evaluation": {
"formId": "form_123",
"interactionId": "int_456",
"score": 100,
"status": "submitted"
}
}
Make sure you check the specific rate limits for the Quality Management module before ramping up your JMeter threads. The suggestion above about using the bulk endpoint is solid, but there is a catch. In Zendesk, we often handled quality data through simple ticket field updates which were much more forgiving. Genesys Cloud treats quality evaluations as distinct entities with stricter governance.
If you hit the 429 limit, it is not just a throttle; it can lock out your WFM integration for several minutes. I experienced this during our recent migration from Zendesk. The fix is to implement exponential backoff in your script immediately after the first error. Do not retry at full speed. Also, verify that your API user has the “Quality Admin” role, as some lower-tier roles have hidden lower limits on these endpoints. This usually prevents the sudden cutoff.
Cause: The Quality API has hard limits that don’t care about your JMeter setup. You’re hitting the per-minute ceiling because each request is treated individually. The bulk endpoint suggestion is the right move, but the payload structure matters. If you send malformed JSON or miss required fields, the whole batch fails or gets throttled differently.
Solution: Switch to /api/v2/quality/evaluations/bulk. Keep the payload tight. Here’s a working example for a batch of 3:
{
"items": [
{
"interactionId": "int_001",
"formId": "form_abc",
"status": "submitted",
"score": 90
},
{
"interactionId": "int_002",
"formId": "form_abc",
"status": "submitted",
"score": 85
},
{
"interactionId": "int_003",
"formId": "form_abc",
"status": "submitted",
"score": 95
}
]
}
Test with small batches first. 50 items per call is safer than 100 when you’re ramping up. Check the response headers for X-RateLimit-Remaining. If it drops below 10, back off.
Also, make sure your JMeter test includes proper auth headers. Missing Authorization: Bearer <token> causes 401s that look like throttling errors. We’ve seen this with Teams SBCs too. The token refresh logic in your script might be lagging.
One more thing: the Quality API doesn’t like concurrent writes to the same evaluation. If your test duplicates interactionId values, it’ll conflict. Use unique IDs for each test run.
If you’re still seeing 429s after batching, check your org’s custom rate limits. Some tenants have stricter caps. Contact support if needed. They can confirm your specific limits.
The bulk endpoint is necessary, but don’t forget the retry logic. Genesys Cloud returns 429s even on bulk calls if you hammer the API. Implement exponential backoff in your JMeter script.
Thread.sleep(Math.pow(2, retryCount) * 1000);
State drift happens fast if you ignore the headers.