What is the standard approach to handle versioning conflicts when pushing bulk schedule updates to the Workforce Management module via the AppFoundry integration? We are currently managing a complex routing environment with 15 BYOC trunks across the Asia Pacific region, specifically centered in Singapore, which requires precise alignment between agent availability and trunk capacity. The issue manifests when the external scheduling engine attempts to update shift patterns for a large cohort of agents. The API endpoint /api/v2/wfm/schedules consistently returns a 409 Conflict error with the message Version mismatch. This occurs despite the payload containing the latest version token retrieved from the initial GET request. The latency between fetching the current schedule state and executing the PUT request is minimal, under 200ms, yet the conflict persists for approximately 15% of the updates. This is not a transient network issue but appears to be a race condition or a strict concurrency lock within the WFM service that is not clearly documented in the standard REST API references.
The impact is significant because failed schedule updates lead to misaligned staffing levels, which directly correlates with increased SIP 408 timeouts on our secondary BYOC trunks during peak hours. When agents are marked as available in the WFM system but the underlying routing logic does not reflect this change due to the rejected update, the predictive dialer attempts to route calls to unavailable resources. We have verified that the JSON structure is valid and that the schedule_id matches the existing record. Is there a recommended retry mechanism with exponential backoff that specifically handles WFM version tokens, or should we be implementing a locking strategy on the client side to serialize these requests? We need a robust method to ensure data consistency between our workforce planning tools and the Genesys Cloud routing engine without manual intervention.