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 normalize_flag(value):\n    return value.strip().lower() == 'true'\n

{
  "expected_contains": [
    "if value is None",
    "return False",
    "value.strip().lower() == \"true\""
  ]
}