Context:
HTTP 422 Unprocessable Entity
{
"message": "Script version mismatch for campaign 'Support-Queue-East'. Expected version: v4.2, found: v4.1.",
"code": "SCRIPT_VERSION_CONFLICT"
}
We are encountering a persistent issue during our weekly schedule publication workflow using the Genesys Cloud WFM API (/api/v2/wfm/schedules/versions/{scheduleVersionId}/publish). Our environment runs Genesys Cloud v2023-11.0. While the scheduling logic itself validates correctly in the WFM UI, the automated publication step fails when it attempts to reconcile agent skills with the associated outbound/inbound campaign scripts.
The root cause appears to be a race condition or caching delay in the Architect service. When we update a script (e.g., adding a new IVR node for a new product launch) and immediately trigger the schedule publish via our custom integration (using Python SDK v2.15.3), the WFM service still references the previous script version (v4.1) attached to the campaign, even though the Architect UI shows v4.2 is active. This happens specifically for agents in the Chicago timezone (America/Chicago) who are assigned to queues linked to these updated scripts.
We have verified that the script deployment is marked as ‘Published’ in Architect. However, the WFM service seems to cache the script metadata at a different interval. This breaks our self-service shift swap feature because agents cannot see the updated script instructions in their pre-shift readiness checks, leading to compliance discrepancies.
Question:
Is there a specific API endpoint or header we can use to force a cache invalidation of script metadata within the WFM service before triggering the schedule publish? Alternatively, is there a recommended delay or polling mechanism to verify script version consistency across WFM and Architect services? We are looking for a programmatic solution to prevent this 422 error without manual intervention, as our weekly publication window is tight and involves over 500 agents.