{
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      "content": "```python\nsum(xs)\n```\n\nThat's it \u2014 Python's built-in `sum()` does exactly this. If you need it as a function:\n\n```python\nget_sum = lambda xs: sum(xs)\n```\n\nAnd if you want to do it manually (e.g., for learning purposes):\n\n```python\nfunctools.reduce(lambda a, b: a + b, xs, 0)\n```",
      "content_chars": 278,
      "content_excerpt": "```python\nsum(xs)\n```\n\nThat's it \u2014 Python's built-in `sum()` does exactly this. If you need it as a function:\n\n```python\nget_sum = lambda xs: sum(xs)\n```\n\nAnd if you want to do it manually (e.g., for ",
      "finish_reason": "stop",
      "passed": true,
      "reasoning_chars": 711,
      "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 obvious answer is:\n\n```python\nsum(xs)\n```\n\nThat's the idiomatic Python way. There's also ",
      "reasoning_field": "reasoning_content",
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      "seconds": 4.074,
      "test": "smoke",
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        "prompt_tokens": 28,
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      "validation_detail": "contains sum("
    },
    {
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      "content_chars": 31,
      "content_excerpt": "{\"language\":\"python\",\"ok\":true}",
      "finish_reason": "stop",
      "passed": true,
      "reasoning_chars": 187,
      "reasoning_excerpt": "The user wants me to return ONLY a JSON object: {\"language\":\"python\",\"ok\":true}. No prose.\n\nThis is a simple instruction. I should output exactly that JSON object with no additional text.",
      "reasoning_field": "reasoning_content",
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      "validation_detail": "parsed keys=['language', 'ok']"
    },
    {
      "content": "ZEBRA-42917-QUARTZ",
      "content_chars": 18,
      "content_excerpt": "ZEBRA-42917-QUARTZ",
      "finish_reason": "stop",
      "passed": true,
      "reasoning_chars": 559,
      "reasoning_excerpt": "The user is asking me to extract a launch code from a large block of repetitive text. The text contains an embedded message that says \"IMPORTANT: The launch code is ZEBRA-42917-QUARTZ.\"\n\nThis appears ",
      "reasoning_field": "reasoning_content",
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      "finish_reason": "tool_calls",
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      "reasoning_chars": 78,
      "reasoning_excerpt": "The user wants the weather in Oakland. I have a get_weather tool. Simple call.",
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      "reasoning_excerpt": "The user wants the weather in Oakland. I have a get_weather tool. Let me call it.",
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      "finish_reason": "tool_calls",
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    },
    {
      "content_chars": 0,
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      "event_count": 32,
      "finish_reason": "tool_calls",
      "passed": true,
      "reasoning_chars": 122,
      "reasoning_excerpt": "The user wants to know the weather in Oakland. I should use the get_weather tool with the city parameter set to \"Oakland\".",
      "reasoning_field": "stream_delta",
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      "seconds": 0.651,
      "sse_done": true,
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      "validation_detail": "valid tool_call get_weather(city='Oakland')"
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      "finish_reason": "tool_calls",
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      "reasoning_excerpt": "The user wants to know the weather in Oakland. I have a get_weather tool available. Let me call it with the city \"Oakland\".",
      "reasoning_field": "reasoning_content",
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      "content_excerpt": "OAKLAND 72F",
      "finish_reason": "stop",
      "passed": true,
      "reasoning_chars": 208,
      "reasoning_excerpt": "The user wants me to reply exactly \"OAKLAND 72F\" using the tool result. The tool result showed Oakland at 72\u00b0F, sunny. They want an exact reply: \"OAKLAND 72F\". I should just output that exactly, nothi",
      "reasoning_field": "reasoning_content",
      "reasoning_tokens": null,
      "seconds": 0.953,
      "test": "tool-result-continuation",
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      "validation_detail": "tool result retained"
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      "name": "smoke (short coding)",
      "passed": true
    },
    {
      "detail": "parsed keys=['language', 'ok'] finish='stop' visible=31 reasoning_chars=187 reasoning_tokens=None",
      "name": "structured JSON",
      "passed": true
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    {
      "detail": "3.4s ctx~8192 got='ZEBRA-42917-QUARTZ' finish='stop' visible=18 reasoning_chars=559 reasoning_tokens=None",
      "name": "needle @ ~8192 ctx",
      "passed": true
    },
    {
      "detail": "4/4 clean (sample: 4.9s valid tool_call get_weather(city='Oakland') finish='tool_calls' visible=0 reasoning_chars=78 reasoning_tokens=None)",
      "name": "shared-prefix tool batch x4",
      "passed": true
    },
    {
      "detail": "0.7s done=True events=32 valid tool_call get_weather(city='Oakland') finish='tool_calls'",
      "name": "streaming tool call",
      "passed": true
    },
    {
      "detail": "1.6s tool result retained finish='stop' visible=11 reasoning_chars=208 reasoning_tokens=None",
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  "thinking": {
    "chat_template_kwargs": null,
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  "video_expect": [],
  "video_input": null
}