Debug-Memoize-Reference-Equality-V2

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 diagnosis, fix, tests. A memoized function is keyed by object reference equality; callers construct a fresh options object on every invocation so the cache always misses, making memoization useless and providing no performance benefit. Identify the reference equality bug and fix it.

{
  "metrics": {
    "repro": {
      "checks": [
        {
          "contains": [
            "cache miss"
          ]
        },
        {
          "contains": [
            "reference equality"
          ]
        },
        {
          "contains": [
            "new object"
          ]
        },
        {
          "contains": [
            "memoize"
          ]
        }
      ]
    },
    "hidden": {
      "checks": [
        {
          "contains": [
            "JSON.stringify"
          ]
        },
        {
          "contains": [
            "stable key"
          ]
        },
        {
          "contains": [
            "deep equality"
          ]
        }
      ]
    },
    "diagnose": {
      "checks": [
        {
          "contains": [
            "reference equality"
          ]
        },
        {
          "contains": [
            "always misses"
          ]
        },
        {
          "contains": [
            "new object each call"
          ]
        }
      ]
    }
  }
}