Why does the Genesys Cloud Platform API is rejecting our predictive campaign list updates with a 400 Bad Request error, specifically citing invalid_contact_format, when the payload strictly adheres to the schema defined in the /api/v2/outbound/lists documentation? We are developing a Premium App that automates the ingestion of contact lists from a third-party CRM into Genesys Cloud for predictive outbound campaigns. The integration handles multi-tenant data isolation, so each list is scoped to a specific organization ID. The error occurs intermittently, affecting roughly 15% of the batch uploads. The payload includes standard fields like contact_id, phone_number, and custom attributes mapped to the list schema. We have verified that the phone numbers are in E.164 format and that the custom attributes match the data types defined in the list configuration. The issue seems to persist regardless of the batch size, whether we are uploading 100 records or 10,000 records in a single POST request.
The environment is set up in the us-east-1 region, and we are using the latest version of the Genesys Cloud Python SDK for authentication and API calls. The OAuth token is generated using the client credentials flow, and we have confirmed that the token has the necessary scope for outbound:campaign:write and outbound:list:write. We have also checked the API rate limits, and the request is well within the allowed thresholds for our tier. The error response includes a generic message without specific field-level details, making it difficult to pinpoint the exact cause. We have tried isolating the problematic records by uploading smaller batches, but the error still occurs randomly. This is impacting our ability to provide a seamless integration experience for our clients, as they rely on timely list updates for their predictive dialing operations. Any insights into potential hidden validation rules or known issues with the outbound list API would be greatly appreciated.