Just noticed that the /v2/wfm/schedules/validations endpoint is consistently rejecting our bulk shift swap requests with a 400 Bad Request error, specifically citing INVALID_INPUT_DATA. This is happening right as we are finalizing the weekly schedule publish for the Chicago team (America/Chicago timezone). The issue seems to be isolated to swaps involving agents who have overlapping time-off requests in the system, even though the UI allows us to approve these trades manually without issue.
We are using the Genesys Cloud SDK v2.140.0 for our integration. The payload structure matches the schema defined in the developer documentation, but the validation logic appears to be stricter than expected when handling concurrent time-off blocks. The error message is vague and does not point to a specific agent ID or timestamp, making it difficult to isolate the problematic record in a batch of 50 swaps.
Here are the environment details:
- API Endpoint:
/v2/wfm/schedules/validations - SDK Version: Genesys Cloud SDK v2.140.0 (Python)
- Region: US East
- Schedule Type: Weekly publish, effective next Monday
- Error Code:
400 Bad Request-INVALID_INPUT_DATA
The specific payload includes the swap_request_id and the agent_ids involved. When we remove the agents with pending time-off approvals from the batch, the validation passes successfully. This suggests a conflict between the WFM scheduling engine and the time-off management module during the validation phase.
Is there a known limitation or a specific flag we need to set in the request header to bypass this strict validation for approved time-off overlaps? Or is this a backend synchronization delay where the time-off status hasn’t propagated to the scheduling validation service yet? We need a workaround before the weekly publish window closes tomorrow morning. Any insights from other WFM specialists who have dealt with this API behavior would be greatly appreciated.