The POST /api/v1/cognigy/clustering/jobs endpoint keeps rejecting the Node.js payloads for the NICE Cognigy.AI intent clustering module when the utteranceDataset array crosses the 5000 item mark, even though the computationalQuota header shows available slots. My request builder constructs the body with explicit similarityThreshold and maxClusterSize fields, but the schema validation layer throws a 422 Unprocessable Entity before the async job actually spins up. The payload structure looks like { "dataset": [...], "threshold": 0.82, "clusterLimit": 15, "quotaCheck": true }, and the fetch wrapper handles the Authorization bearer token fine. I keep hitting the 503 wall around mid-afternoon Tokyo time, probably a regional quota thing. Progress monitoring through the GET /api/v1/cognigy/clustering/status/{jobId} route returns 202 Accepted initially, then switches to 503 Service Unavailable when the auto-scaling trigger should fire. The jobOrchestrator class polls every 2 seconds using setInterval, but the response payload doesn’t include the scalingMetrics object.
Cluster refinement logic relies on manual cosineSimilarity calculations inside a while loop until centroidConvergence drops below 0.01, yet the webhook callback to our external CMS never fires when clusterPurityScore exceeds 0.9. Memory usage spikes too. The gc cycle runs constantly. Execution duration tracking writes to a local sqlite table, but the audit log generator skips entries where intentAnalyzer flags duplicate semantic groups. The autoScalingTrigger parameter in the initial request should handle resource optimization dynamically, but it doesn’t scale past the quota limit. The Node.js event loop blocks on the fs.readFileSync call for the dataset validation step. Governance compliance requires the auditLog endpoint to emit structured JSON every 500 milliseconds, and the current implementation just hangs.