Anyone free to help troubleshoot this server error that blocks the finalization of our legal discovery package for digital channels. The team relies on the Quality Management module to pull evaluation scores for WebChat and Email interactions, which must be included in the chain of custody metadata for S3 storage. Currently, the POST /v2/quality/evaluations/bulk/export endpoint returns a 500 Internal Server Error when the request payload includes specific date ranges spanning the last quarter.
The environment is Genesys Cloud EU (Frankfurt region). The issue appears isolated to digital channel interactions that were evaluated by supervisors using custom forms linked to external PII data. Voice calls export without issue. The error response body is minimal:
{
"message": "An internal server error occurred. Please try again later.",
"status": 500,
"code": "internal_error"
}
We have verified that the service account used for the export has the quality:evaluation:read and quality:evaluation:export permissions. The request headers include the correct Authorization Bearer token and Content-Type: application/json. The payload structure matches the documentation for bulk evaluation exports, specifying interactionIds and evaluationTypes.
- Attempted to split the date range into smaller chunks (monthly instead of quarterly), but the
500 error persists for any range containing the specific WebChat sessions.
- Tested the export using a standard user account with identical permissions, which resulted in the same server error, suggesting this is not a service account privilege issue.
The urgency is high because the legal hold deadline is approaching, and we cannot validate the audit trail without these evaluation records. Any insights into known issues with the Quality Management bulk export for digital channels or steps to trigger a support ticket with relevant trace IDs would be appreciated.
Make sure you align the date range parameters with the standard performance dashboard views before attempting the bulk export. The 500 error often stems from the backend struggling to aggregate data across fragmented time windows, particularly when the request spans multiple calendar months or includes non-business hours where queue activity is nil.
POST /v2/quality/evaluations/bulk/export returned 500 Internal Server Error
The system handles smaller, contiguous data sets more efficiently. Instead of pushing a large payload with a broad date range, try segmenting the export into weekly chunks. This approach mirrors how we typically handle queue activity reports to avoid timeout issues.
- Navigate to the Performance dashboard.
- Select the Quality tab to verify the available data points for your specific date range.
- Note the exact start and end timestamps where data is consistent.
- Adjust your API request payload to match these smaller intervals.
For example, if your original request covered 2023-10-01 to 2023-10-31, split it into 2023-10-01 to 2023-10-07, and so on. This reduces the computational load on the export service.
Additionally, ensure that the digital channel interactions (WebChat/Email) are correctly tagged within the flow architecture. If the evaluation criteria reference missing variables or unlinked queues, the export job may fail silently or throw a server error. Check the Conversation Detail view for a sample interaction to confirm all required fields are populated.
If the issue persists after segmenting the dates, review the Queue Activity metrics for those specific periods. Gaps in data or high-volume spikes can sometimes trigger internal service limits. Adjusting the time window in the performance view often reveals these anomalies before they cause export failures.
The problem is likely that the backend aggregation limit on fragmented time windows.
POST /v2/quality/evaluations/bulk/export returned 500 Internal Server Error
Consolidate the date ranges to avoid cross-month fragmentation before retrying.