Trying to understand the specific validation logic triggering a 422 Unprocessable Entity response when configuring predictive dialer rules via the Platform API. Our Premium AppFoundry integration manages outbound campaigns for multiple Genesys Cloud organizations. We have successfully deployed the application across several tenant environments using multi-org OAuth flows. The issue manifests exclusively when attempting to set the dialer_rule parameter to predictive while defining custom predictive_rules in the request body.
The error response payload indicates a generic validation failure without specifying which field violates the schema. We have verified that the OAuth client possesses the campaign:write scope and that the API user has the necessary permissions to manage outbound campaigns.
Steps to reproduce the issue:
- Generate a short-lived OAuth token for the target organization using the AppFoundry client credentials.
- Construct a JSON payload for
POST /api/v2/outbound/campaignswith the following critical fields:
status:runningdialer_rule:predictivepredictive_rules:{ "max_calls_per_interval": 50, "interval_seconds": 60, "max_abandon_rate": 0.02 }
- Execute the API call using our internal Python SDK wrapper (version 2.1.4) which handles standard retry logic and rate limiting.
- Observe the 422 status code returned by the Genesys Cloud platform.
We have tested identical payloads in a sandbox environment where the campaign was created successfully. However, in production tenants with higher call volume expectations, the API rejects the configuration. We suspect this might be related to resource constraints or specific predictive algorithm limitations enforced at the tenant level. Are there known restrictions on max_calls_per_interval values for predictive rules via the API? Or is this a transient validation bug in the current release? Any insights into the specific validation rules for predictive configurations would be appreciated.