Reasoning-Uad-Ambiguous-Root-Cause

The model receives the prompt (and optional system message). The run uses scorer rubric_json_metrics with the JSON configuration below. Pass/fail and partial credit are determined entirely by that scorer against the model output; no human grading.

Return JSON only with keys answer, evidence, constraints. Latency rose after a deploy, but traffic doubled and the database cache hit rate fell at the same time. State why attribution is uncertain.

{
  "metrics": {
    "accuracy": {
      "checks": [
        {
          "contains": [
            "deploy"
          ]
        },
        {
          "contains": [
            "traffic doubled"
          ]
        },
        {
          "contains": [
            "cache hit"
          ]
        }
      ]
    },
    "evidence": {
      "checks": [
        {
          "contains": [
            "latency"
          ]
        },
        {
          "contains": [
            "attribution"
          ]
        },
        {
          "contains": [
            "same time"
          ]
        }
      ]
    },
    "constraint": {
      "checks": [
        {
          "contains": [
            "uncertainty"
          ]
        },
        {
          "contains": [
            "confounder"
          ]
        },
        {
          "contains": [
            "need isolate"
          ]
        }
      ]
    }
  }
}