Trying to understand the validation logic for predictive routing settings when pushing via CLI. Using genesys cloud queues update. The payload includes routing.type = PREDICTIVE and routing.settings.predictive. Receiving a 400 Bad Request with message “Invalid configuration for queue with predictive routing enabled.” No specific field error returned. Running CLI v3.3.2. Any known schema constraints for the predictive settings block that cause silent validation failures?
The easiest fix here is this is to ensure the routing.settings.predictive object contains the mandatory enabled: true flag alongside the agentCapacity and maxWaitTime fields, as Genesys Cloud’s API schema is significantly stricter than Zendesk’s ticket form validations. In Zendesk, you could often leave optional fields null without breaking the workflow, but here, the predictive routing engine expects a fully populated configuration block. Check if your CLI payload is missing the agentCapacity value, which defaults to 1 if omitted but must be explicitly defined when routing.type is set to PREDICTIVE. Also verify that the queue’s routing.skills are not empty, as predictive routing fails silently if no skills are assigned to calculate agent fit. Try adding a minimal valid skill set and re-running the update. This mirrors the migration pain point where Zendesk’s flexible tagging doesn’t translate directly to Genesys Cloud’s rigid skill-based routing requirements.
The quickest way to solve this is to bypass the CLI abstraction layer entirely and inspect the raw JSON payload being submitted to the /api/v2/queues/{queueId} endpoint. The CLI often strips out nested objects or defaults to null for optional predictive fields, which triggers a generic 400 error when the server expects a specific structure for routing.settings.predictive.
From an AppFoundry integration perspective, we see this frequently when partners assume the CLI handles schema validation gracefully. It does not. You must explicitly define the enabled boolean, agentCapacity, and maxWaitTime within the predictive object. If any of these are missing or null, the platform rejects the entire update.
Use a tool like Postman or cURL to send the exact payload. This isolates whether the issue is a CLI bug or a schema mismatch. Below are the required fields for a valid predictive configuration:
| Field | Type | Required | Description |
|---|---|---|---|
enabled |
boolean | Yes | Must be true for predictive routing |
agentCapacity |
integer | Yes | Max interactions per agent |
maxWaitTime |
string | Yes | Max wait time in seconds |
Check your payload against this table before retrying.
The problem here is the CLI serialization stripping nested objects. routing.settings.predictive requires explicit boolean flags, not just capacity values.
Check the raw JSON before sending. Ensure enabled: true is present alongside agentCapacity.
The problem here is…
- Verify
routing.settings.predictiveis a fully populated object, not just capacity values. - Ensure
enabled: trueis explicitly set alongsideagentCapacityandmaxWaitTime. - Check raw JSON serialization, as CLI often strips nested booleans, triggering a generic 400.