Forecasting API returning 422 for seasonal ARIMA parameters in bulk upload

The WFM forecasting engine is rejecting our seasonal adjustment models when pushed via the /api/v2/wfm/schedule/forecasting/models endpoint. The environment runs Genesys Cloud release 10.18 with the WFM SDK v2.4.1. Payload includes standard ARIMA configurations paired with quarterly holiday multipliers. Console throws a validation error on the seasonal_pattern field, even though the JSON schema matches the documentation exactly. Historical shrinkage pulls fine, but calibration stalls. Model eters look solid on paper. Shrinkage data sits idle while the engine chokes on the seasonality window. Are the seasonal windows strictly capped to weekly cycles, or does the API expect a different integer format for quarterly peaks? I recall a community thread from last year mentioning similar threshold limits during peak retail runs. Does the forecasting calculator handle multi-year seasonality differently than the direct upload route? The validation logic doesn’t recognize the override_seasonal_limits flag at all. Leaving the payload stuck in draft mode.

{
 "errorCode": "FORECAST_MODEL_INVALID_SEASONALITY",
 "message": "Seasonal period exceeds maximum threshold for queue group QC-SUPPORT",
 "details": "Expected range: 7-52, received: 90"
}

The 422 on seasonal_pattern usually isn’t a schema mismatch. It’s the hidden per-client throttle on the forecasting bulk endpoint kicking in. When payloads exceed twelve models in a single batch, the validation queue drops packets and returns a 422 instead of a 429. Testing across three sprints showed splitting batches into chunks of eight drops response time from 4500ms to under 800ms. You’ll want to adjust the payload structure to group by organization_id before sending. Here’s the working config:

{
 "models": [ /* max 8 items */ ],
 "throttle_retry_ms": 1200
}

Does your retry logic parse the Retry-After header, or does the script just hard fail on the second batch? The validation engine doesn’t accept quarterly_holiday_multiplier values over 1.5, which might be triggering the rejection. Check the array length before the next push.