Does anyone know the optimal batching strategy for triggering schedule publication via Architect to avoid hitting the WFM API rate limits? We are currently experiencing intermittent failures during our weekly schedule publishing process, which runs every Friday afternoon Central Time.
Context:
Our workflow uses the ‘Publish Schedule’ action in Genesys Cloud Architect to automate the finalization of agent schedules after all shift swaps and time-off requests have been processed in the WFM module. The schedule covers a standard 8x5 model with approximately 450 agents. We have configured the flow to trigger the publish action immediately after the ‘Validate Schedule’ step returns a success status. However, we are consistently seeing a spike in HTTP 429 Too Many Requests errors returned by the underlying WFM API when the publish action attempts to commit the large dataset. The error log specifically cites 429: Rate limit exceeded for tenant wfm_api_v2. This usually happens around 2:30 PM CT when multiple supervisors are also manually adjusting ad-hoc overrides in the WFM UI, causing a collision of API calls.
We have tried adding a 5-second delay between individual batch publishes by splitting the workforce into smaller groups of 50 agents, but this significantly extends the total execution time of the flow, often causing the Architect flow to timeout before completion. The ‘Publish Schedule’ action does not seem to have an intrinsic retry mechanism for 429 errors, unlike some of the standard REST actions.
Question:
Is there a recommended pattern for handling these rate limits within Architect? Should we be implementing a custom retry loop with exponential backoff using a script task, or is there a specific configuration in the WFM integration settings that allows for higher throughput during bulk operations? We want to ensure the schedule is published reliably by 3:00 PM CT so that agents can view their finalized shifts on the mobile app by the start of their weekend shifts. Any insights on how other teams are managing this volume without resorting to manual intervention would be greatly appreciated.