{ "base_url": "http://127.0.0.1:8002/v1", "budget": { "max_completion_tokens": 3072, "reasoning_headroom_tokens": 2048, "visible_answer_tokens": 1024 }, "checks": [ "smoke", "json", "needle", "tools" ], "evidence_policy": { "allowed_finish_reasons": [ "stop", "tool_calls" ], "errors": [], "reasoning": "required" }, "image_expect": [], "model": "glm53-flash-exl3-runtime-dcp1-candidate", "multimodal_input": null, "observations": [ { "content": "```python\nsum(xs)\n```\n\nIf you want it as a reusable function on one line:\n\n```python\nsum_of = lambda xs: sum(xs)\n```\n\nThe built-in `sum()` is the idiomatic choice \u2014 it's concise, readable, and fast. (A manual alternative like `functools.reduce(lambda a, b: a + b, xs, 0)` works too, but there's no reason to prefer it here.)", "content_chars": 324, "content_excerpt": "```python\nsum(xs)\n```\n\nIf you want it as a reusable function on one line:\n\n```python\nsum_of = lambda xs: sum(xs)\n```\n\nThe built-in `sum()` is the idiomatic choice \u2014 it's concise, readable, and fast. (", "finish_reason": "stop", "passed": true, "reasoning_chars": 792, "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:\n\n```python\nsum(xs)\n```\n\nThat's it. But maybe they want it as a lambda o", "reasoning_field": "reasoning", "reasoning_tokens": null, "seconds": 4.024, "test": "smoke", "usage": { "completion_tokens": 296, "prompt_tokens": 28, "prompt_tokens_details": null, "total_tokens": 324 }, "validation_detail": "contains sum(" }, { "content": "{\"language\":\"python\",\"ok\":true}", "content_chars": 31, "content_excerpt": "{\"language\":\"python\",\"ok\":true}", "finish_reason": "stop", "passed": true, "reasoning_chars": 183, "reasoning_excerpt": "The user wants me to return ONLY a JSON object: {\"language\":\"python\",\"ok\":true}. No prose. This is a simple, direct request. I should just output the JSON object exactly as specified.", "reasoning_field": "reasoning", "reasoning_tokens": null, "seconds": 0.776, "test": "json", "usage": { "completion_tokens": 53, "prompt_tokens": 30, "prompt_tokens_details": null, "total_tokens": 83 }, "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": 419, "reasoning_excerpt": "The user is asking me to extract the launch code from the text. The text says \"IMPORTANT: The launch code is ZEBRA-42917-QUARTZ.\"\n\nThis appears to be a test of whether I can find information embedded ", "reasoning_field": "reasoning", "reasoning_tokens": null, "seconds": 8.167, "test": "needle", "usage": { "completion_tokens": 108, "prompt_tokens": 3424, "prompt_tokens_details": null, "total_tokens": 3532 }, "validation_detail": "needle present" }, { "content": "", "content_chars": 0, "content_excerpt": "", "finish_reason": "tool_calls", "passed": true, "reasoning_chars": 81, "reasoning_excerpt": "The user wants the weather in Oakland. I have a get_weather tool. Let me call it.", "reasoning_field": "reasoning", "reasoning_tokens": null, "request_index": 2, "seconds": 7.837, "test": "tools", "usage": { "completion_tokens": 33, "prompt_tokens": 4967, "prompt_tokens_details": null, "total_tokens": 5000 }, "validation_detail": "valid tool_call get_weather(city='Oakland')" }, { "content": "", "content_chars": 0, "content_excerpt": "", "finish_reason": "tool_calls", "passed": true, "reasoning_chars": 81, "reasoning_excerpt": "The user wants the weather in Oakland. I have a get_weather tool. Let me call it.", "reasoning_field": "reasoning", "reasoning_tokens": null, "request_index": 1, "seconds": 7.854, "test": "tools", "usage": { "completion_tokens": 33, "prompt_tokens": 4967, "prompt_tokens_details": null, "total_tokens": 5000 }, "validation_detail": "valid tool_call get_weather(city='Oakland')" }, { "content": "", "content_chars": 0, "content_excerpt": "", "finish_reason": "tool_calls", "passed": true, "reasoning_chars": 81, "reasoning_excerpt": "The user wants the weather in Oakland. I have a get_weather tool. Let me call it.", "reasoning_field": "reasoning", "reasoning_tokens": null, "request_index": 3, "seconds": 7.869, "test": "tools", "usage": { "completion_tokens": 33, "prompt_tokens": 4967, "prompt_tokens_details": null, "total_tokens": 5000 }, "validation_detail": "valid tool_call get_weather(city='Oakland')" }, { "content": "", "content_chars": 0, "content_excerpt": "", "finish_reason": "tool_calls", "passed": true, "reasoning_chars": 81, "reasoning_excerpt": "The user wants the weather in Oakland. I have a get_weather tool. Let me call it.", "reasoning_field": "reasoning", "reasoning_tokens": null, "request_index": 0, "seconds": 7.884, "test": "tools", "usage": { "completion_tokens": 33, "prompt_tokens": 4967, "prompt_tokens_details": null, "total_tokens": 5000 }, "validation_detail": "valid tool_call get_weather(city='Oakland')" } ], "ocr_expect": [], "passed": true, "results": [ { "detail": "4.0s got='```python\\nsum(xs)\\n```\\n\\nIf you want it as a reusabl' finish='stop' visible=324 reasoning_chars=792 reasoning_tokens=None", "name": "smoke (short coding)", "passed": true }, { "detail": "parsed keys=['language', 'ok'] finish='stop' visible=31 reasoning_chars=183 reasoning_tokens=None", "name": "structured JSON", "passed": true }, { "detail": "8.2s ctx~4096 got='ZEBRA-42917-QUARTZ' finish='stop' visible=18 reasoning_chars=419 reasoning_tokens=None", "name": "needle @ ~4096 ctx", "passed": true }, { "detail": "4/4 clean (sample: 7.8s valid tool_call get_weather(city='Oakland') finish='tool_calls' visible=0 reasoning_chars=81 reasoning_tokens=None)", "name": "shared-prefix tool batch x4", "passed": true } ], "schema_version": "preflight/v2", "thinking": { "chat_template_kwargs": { "enable_thinking": true }, "mode": "enabled", "reasoning_effort": null }, "video_expect": [], "video_input": null }