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 first_char(text):\n    return text[0].lower()\n

{
  "expected_contains": [
    "if not text",
    "return \"\"",
    "text[0].lower()"
  ]
}