Reduce Nesting

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 for readability without behavior change. Return only Python code.

def parse_age(user):
    if "age" in user:
        if user["age"] is not None:
            return int(user["age"])
    return None

{
  "expected_contains": [
    "user.get(\"age\")",
    "return int("
  ]
}