Screen Recording API 500 Error During Schedule Publish

General Discussion
1

POST /api/v2/wfm/schedule/schedules/{scheduleId}/publish returned 500 Internal Server Error

The weekly schedule publish fails specifically when the screen recording integration is active. The error logs point to a conflict with the recording metadata payload. We are using Genesys Cloud v14.2 in the Chicago region. Disabling the recording feature allows the schedule to publish correctly. Is there a known limitation with concurrent WFM updates and screen recording state sync?

2

You need to check the payload size for the screen recording metadata when the schedule publish API is called. The 500 error often happens because the combined JSON exceeds the default buffer limit for WFM operations in the current region.

In JMeter, I see this when the recording status includes large binary references or unoptimized tags. Try stripping the metadata payload down to the essentials before sending the POST request.

Also, verify the API throughput limits. If other WFM tasks are running concurrently, the server might drop the heavy recording payload. Splitting the publish into smaller batches can help bypass the internal server error.

  • WFM schedule publish API limits
  • Screen recording metadata payload size
  • Genesys Cloud API rate limits
  • Concurrent WFM task handling
3

You need to validate the payload structure against the schema before hitting the endpoint. The suggestion above regarding buffer limits is partially correct, but the 500 error in v14.2 is frequently triggered by malformed metadata objects rather than raw size.

Cause:
The screen recording integration injects nested objects into the schedule metadata. If the recording_config block contains null values for duration or status, the WFM publish engine throws an internal error instead of a 400. This is a known bug in the Chicago region deployments.

Solution:
Sanitize the payload in your CI/CD pipeline. Use a JSON schema validator or a simple script to remove optional fields before the API call.

resource "genesyscloud_wfm_schedule" "main" {
 # Ensure metadata is clean
 metadata = jsonencode({
 "source" = "terraform"
 # Remove recording_config if not strictly needed for publish
 })
}

Check the response headers for x-correlation-id and open a ticket if the payload is valid but the error persists. This helps the support team trace the specific service failure.