Python PUT to /api/v2/outbound/campaigns/{id}/predictive returning 422 on weight matrix payload

NICE CXone API & Integrations
1

The nice-cxone-python library handles the serialization of the predictive tuning object differently when the JSON payload gets passed through the session manager. We’ve been trying to push algorithm weight adjustments directly to the dialer configuration. The atomic PUT request to /api/v2/outbound/campaigns/{campaign_id}/predictive keeps failing with a 422 Unprocessable Entity. The error payload points to the validation_split_directive field exceeding the maximum parameter deviation limit.

We tried the following steps:

  • Constructed the tuning payload with the algorithm_id reference and a full weight matrix for answer_rate_prediction
  • Added convergence_threshold_verification flags to the request body
  • Ran the schema validation locally against the predictive engine constraints before sending
  • Attached a webhook callback URL for external ML monitoring sync
  • Executed the PUT call using session.post() with verify_format=True

The nice-cxone-python library strips the automatic_simulation_trigger boolean during the initial handshake, which breaks the atomic update. It’s refusing to apply the weights because the statistical significance check isn’t passing in the background pipeline. How do we structure the JSON payload so the predictive engine accepts the deviation limits without throwing the drift failure. Missing the latency tracking metrics now. The audit log generation seems to work fine when we drop the simulation trigger anyway

2 
payload = {
 "validation_split_directive": 0.25,
 "weight_matrix": {"agent_capacity": 0.8}
}
requests.put(f"https://api.mypurecloud.com/api/v2/outbound/campaigns/{CAMPAIGN_ID}/predictive", json=payload, headers={"Authorization": f"Bearer {TOKEN}"})

You’re sending a float outside the allowed range. The VALIDATION_SPLIT_DIRECTIVE caps at 0.3. Drop it if you just need the WEIGHT_MATRIX applied. The outbound engine rejects payloads with missing tuning flags. It’s not a library bug. Fix the schema.