{
  "base_url": "http://127.0.0.1:8000/v1",
  "budget": {
    "max_completion_tokens": 4608,
    "reasoning_headroom_tokens": 4096,
    "visible_answer_tokens": 512
  },
  "checks": ["smoke"],
  "evidence_policy": {
    "allowed_finish_reasons": ["stop", "tool_calls"],
    "errors": [],
    "reasoning": "any"
  },
  "image_expect": [],
  "model": "llm.primary",
  "multimodal_input": null,
  "observations": [
    {
      "content": "```python\nsum(xs)\n```\n\nIf you want alternatives (e.g., avoiding the built-in):\n\n```python\n__import__('functools').reduce(lambda a, b: a + b, xs, 0)\n```\n\nBut `sum(xs)` is the idiomatic choice — it's fast, readable, and handles empty lists (returning `0`).",
      "content_chars": 254,
      "content_excerpt": "```python\nsum(xs)\n```\n\nIf you want alternatives (e.g., avoiding the built-in):\n\n```python\n__import__('functools').reduce(lambda a, b: a + b, xs, 0)\n```\n\nBut `sum(xs)` is the idiomatic choice — it's fa",
      "finish_reason": "stop",
      "passed": true,
      "reasoning_chars": 1035,
      "reasoning_excerpt": "The user wants a Python one-liner that returns the sum of a list `xs`. This is a very simple request. The most idiomatic way is to use the built-in `sum()` function:\n\n```python\nsum(xs)\n```\n\nThat's it ",
      "reasoning_field": "reasoning_content",
      "reasoning_tokens": 264,
      "seconds": 2.199,
      "test": "smoke",
      "usage": {
        "completion_tokens": 341,
        "completion_tokens_details": {"reasoning_tokens": 264},
        "prompt_tokens": 28,
        "prompt_tokens_details": {"cached_tokens": 0},
        "total_tokens": 369
      },
      "validation_detail": "contains sum("
    }
  ],
  "ocr_expect": [],
  "passed": true,
  "results": [
    {
      "detail": "2.2s got='```python\\nsum(xs)\\n```\\n\\nIf you want alternatives (e' finish='stop' visible=254 reasoning_chars=1035 reasoning_tokens=264",
      "name": "smoke (short coding)",
      "passed": true
    }
  ],
  "sampling": {"temperature": 0.6},
  "schema_version": "preflight/v2",
  "thinking": {"chat_template_kwargs": null, "mode": "default", "reasoning_effort": null},
  "video_expect": [],
  "video_input": null
}