Looking for advice on handling a specific data mapping issue during our Zendesk-to-Genesys Cloud migration. We are currently building an Architect flow to ingest historical Zendesk ticket data via a Data Action and map it to new Genesys Cloud interactions. The goal is to preserve the original ticket ID and priority in the interaction metadata for reporting purposes. However, when the flow attempts to execute the ‘Create Interaction’ node with the custom attributes populated from the Zendesk JSON payload, we consistently receive a 500 Internal Server Error. The error log in Architect shows: {"errors":[{"title":"Internal Server Error","detail":"Failed to process interaction attributes: Invalid format for field 'zd_ticket_id'"}]}. This is confusing because the ‘zd_ticket_id’ is strictly a string in both the Zendesk export and the Genesys Cloud attribute definition. In Zendesk, we could freely append any metadata to a ticket without strict schema validation on the backend, but Genesys Cloud seems to be enforcing a type constraint that isn’t immediately obvious in the UI. We are using the latest Genesys Cloud API version (v2) for the Data Action call. The environment is Genesys Cloud EU (Frankfurt), matching our timezone. We have verified that the attribute exists in the Genesys Cloud admin console under ‘Custom Attributes’ and is set to ‘String’ type with no length restrictions. Is there a specific formatting requirement for string attributes when passed via the Architect flow that differs from the standard API documentation? Or is this a known limitation with bulk interaction creation during migration phases?
The quickest way to solve this is to verify the payload structure against the Architect Data Action limits before sending. I saw a similar 500 error in my JMeter tests when the JSON body exceeded the expected size for custom attributes. The system throws a generic 500 if the mapping fails silently during the Create Interaction step. Check the Zendesk ticket description length. If it is too long, truncate it in the data action script. Also, ensure the priority field maps to an integer or valid enum value, not a string like “High”. Genesys Cloud expects specific types for interaction metadata. Use a debug node in the flow to print the exact JSON payload before the create step. This helps identify syntax errors or missing required fields. In my load tests, I often see 500s when concurrent requests hit the API with malformed bodies. Fix the data formatting first. Then re-run the flow. If the error persists, check the API rate limits on the Data Action. Sometimes the 500 is actually a masked 429 or 400 from the backend service. Keep the payload small and clean.
The root of the issue is that the 500 error often masks a deeper schema mismatch in the custom attribute definitions rather than just payload size. While truncating the description is a valid first step, the priority field mapping requires strict type adherence in Genesys Cloud. If Zendesk sends priority as a string like “high” but the Genesys custom attribute is defined as an integer, the API rejects the entire interaction creation silently, resulting in that generic server error.
Verify the data action script explicitly converts the Zendesk priority to its corresponding integer value before the POST request. Additionally, ensure the custom attribute keys in the Architect flow match the exact casing defined in the Admin console. Case sensitivity issues here are common and frequently overlooked. Check the raw response body in the flow debug logs; it usually contains the specific validation failure message that the UI hides. This approach provides clearer diagnostics than guessing at payload limits.