Cleanup

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

Refactor without changing behavior. Return only Python code.\n\ndef sum_prices(items):\n    total = 0\n    for i in range(len(items)):\n        total = total + items[i]['price']\n    return total\n

{
  "expected_contains": [
    "for item in items",
    "item[\"price\"]"
  ]
}