Bugfix

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

Fix the bug and return corrected Python code only.\n\ndef add_unique(items, item):\n    if item in items:\n        items.append(item)\n    return items\n

{
  "expected_contains": [
    "if item not in items",
    "items.append(item)",
    "return items"
  ]
}