Can’t get this config to load properly when deploying a multi-tenant IVR flow via the Architect API. The POST request to /api/v2/architect/flows returns a 400 Bad Request with a vague validation error, despite the payload passing local schema checks. Is there a known limit on node count or specific attribute requirements for flows deployed programmatically?
Try stripping the webRtcConfig nested object from the flow definition before sending it to the /api/v2/architect/flows endpoint. The Architect API validator is notoriously strict about circular references and undefined media configurations during bulk deployments, especially when the payload exceeds 500 nodes.
Here is a sample JMeter JSON Extractor configuration to clean the payload before the POST request:
{
"name": "Clean Flow Payload",
"type": "JSR223 PreProcessor",
"script": "def payload = new groovy.json.JsonSlurper().parseText(prev.getResponseDataAsString());\nif (payload.webRtcConfig) { \n payload.remove('webRtcConfig'); \n}\npayload.remove('webRtcMediaStreams');\nprev.setRequestBody(new groovy.json.JsonBuilder(payload).toString());"
}
The 400 error often masks a deeper issue with node concurrency limits. If your flow has more than 200 active decision nodes, the API might reject it due to backend compilation timeouts, not schema validation. Check the flowVersion field; ensure it is set to a unique integer. Reusing versions in rapid succession during load tests causes race conditions that result in validation failures.
Also, verify that the routingRules array does not contain empty strings in the selectionOrder field. The API expects specific enums like RANDOM or LONGEST_IDLE. Empty strings cause silent failures in the schema validator.
If the issue persists, reduce the flow complexity by splitting the IVR into multiple sub-flows and linking them via TransferToFlow nodes. This reduces the payload size and bypasses the strict node-count validation. Monitor the API response headers for X-Request-Id to trace the specific validation rule that failed in the Genesys Cloud logs. This approach usually resolves the vague 400 errors seen during high-concurrency deployment tests.
What’s happening here is that the API validator rejects flows with undefined media configurations during bulk deployments. Remove the nested webRtcConfig object from the payload to resolve the circular reference error.
{
"mediaTypes": ["voice"],
"outboundEmail": null
}
This simplification ensures the flow passes schema validation before hitting the node limit.
The root cause here is the strict validation logic in Genesys Cloud Architect, which differs significantly from the more permissive structure of Zendesk triggers. In Zendesk, you can often save incomplete workflows with null media types, but GC requires explicit media configuration for every node type. The suggestion above regarding the webRtcConfig removal is spot on. When migrating complex IVRs, the API often flags circular references or undefined media objects that would otherwise be ignored in a Zendesk environment.
For those moving from Zendesk to GC, ensure your flow definition explicitly sets mediaTypes to ["voice"] or ["chat"] at the root level. Do not leave these fields null. Additionally, check that any custom attributes mapped from Zendesk ticket fields are defined in the Architect object schema before deployment. This prevents the 400 error from masking underlying schema mismatches. A clean, minimal payload with explicit media types usually resolves the validation failure immediately.