Could someone clarify why the bulk schedule publish endpoint is rejecting valid shift data with a 422 error when agents have approved time-off requests?
We are running the standard weekly publish process for our Chicago-based support team using Genesys Cloud SDK v2.1.0. The goal is to automate the final schedule push after all shift swaps and time-off approvals are locked in. The workflow handles most scenarios correctly, but it fails consistently for agents who have a single day of approved vacation that overlaps with a mandatory shift assignment.
The API call targets /api/v2/wfm/schedule/publish. The request body includes the standard schedule object with shift assignments and time-off blocks. When an agent has a TimeOff record marked as Approved for a specific date, and the schedule also contains a Shift for that same date, the service returns a 422 Unprocessable Entity. The error payload indicates a conflict: Schedule cannot be published due to overlapping time-off and shift assignments for agent ID 849201.
This seems contradictory because the time-off was approved through the standard self-service portal, which should have prevented the conflicting shift from being created in the first place. The data model shows the shift exists in the draft state, but the approval workflow should have flagged this. We are using the America/Chicago timezone for all calculations. The issue is not related to rate limiting or authentication, as other agents without time-off conflicts publish successfully in the same batch.
Has anyone encountered this specific conflict resolution logic in the WFM engine? Is there a parameter to force the publish or auto-remove the conflicting shift? We need a reliable way to handle these edge cases without manual intervention for each agent. The current behavior halts the entire weekly publish job, requiring us to manually edit the schedule in the UI, which defeats the purpose of the automation. Any insights on how the API expects these conflicts to be resolved before the publish call would be greatly appreciated.