Looking for advice on handling a persistent 422 Unprocessable Entity error when attempting to bulk import contacts into an Outbound Campaign via the /api/v2/outbound/campaigns/{campaignId}/contacts endpoint. Our AppFoundry integration is designed to manage contact lists for multiple client organizations, leveraging multi-org OAuth scopes to push data directly into their respective Genesys Cloud instances. The issue arises specifically when the payload exceeds approximately 5,000 records in a single POST request. While smaller batches process without issue, larger imports trigger a 422 response with the error message: “Invalid contact list format: duplicate contact keys detected.” We have implemented a pre-flight deduplication check using the /api/v2/outbound/contacts endpoint to verify unique identifiers, yet the conflict persists. The environment details include Genesys Cloud API version 2, utilizing the Python SDK version 5.2.1, and the integration runs on AWS Lambda with a timeout of 900 seconds. The contact payload includes standard fields such as contact_uri, contact_name, and custom disposition codes. We suspect this might be related to eventual consistency in the Outbound service’s contact repository or a limitation in how the API handles concurrent writes from our multi-tenant architecture. Has anyone encountered similar issues with high-volume contact imports? We are considering switching to a queue-based approach using the /api/v2/outbound/contacts/bulk endpoint, but we need to ensure that our OAuth token refresh logic remains stable under increased load. Any insights into the internal validation mechanisms for contact imports or best practices for handling large datasets in the Outbound API would be greatly appreciated. We aim to maintain a seamless experience for our clients while adhering to Genesys Cloud’s rate limits and data integrity requirements.
You need to split the payload into chunks of 1,000 records to avoid hitting the schema validation limits. The outbound API enforces strict size constraints on bulk imports, which triggers the 422 error when the JSON structure exceeds the expected threshold.
You might want to check at the batch size limits more closely.
The 1000 record chunk suggestion is correct for avoiding schema validation errors.
Splitting payloads prevents the 422 unprocessable entity response during high-volume imports.