{"slug": "gist-75ccf47238f264353a6fa7201b8ad8d7", "title": "gist:75ccf47238f264353a6fa7201b8ad8d7", "summary": "Based on the provided code, this is a Python script for a minimal terminal error analysis assistant. It takes an error message as a command-line argument, sends it to a simulated AI model API, and prints a diagnostic result with an explanation and troubleshooting steps. The script is a demo and uses a placeholder API endpoint and a hardcoded mock response instead of making a real API call.", "body_md": "import sys\nimport requests\nimport json\n\n# 极简的终端报错分析助手 (Demo)\ndef analyze_error(error_message):\n    print(\"正在请求大模型分析报错...\")\n    \n    # 假设这里是调用 AI 模型的接口\n    url = \"https://api.example.com/v1/chat/completions\"\n    headers = {\"Authorization\": \"Bearer YOUR_API_KEY\", \"Content-Type\": \"application/json\"}\n    \n    # 核心逻辑：设定 Prompt\n    payload = {\n        \"model\": \"mimo-standard\",\n        \"messages\": [\n            {\"role\": \"system\", \"content\": \"你是一个严谨的资深程序员，请用中文简明扼要地解释这段报错的原因，并给出分步的排查建议。\"},\n            {\"role\": \"user\", \"content\": f\"报错信息如下：{error_message}\"}\n        ]\n    }\n    \n    # 实际运行时发送请求并解析结果 (此处仅做代码结构展示)\n    try:\n        # response = requests.post(url, headers=headers, json=payload)\n        # result = response.json()['choices'][0]['message']['content']\n        result = \"【模拟返回】这是一个由于依赖包缺失导致的错误。建议先执行 pip install -r requirements.txt...\"\n        return result\n    except Exception as e:\n        return f\"AI 分析调用失败：{e}\"\n\nif __name__ == \"__main__\":\n    if len(sys.argv) > 1:\n        error_text = \" \".join(sys.argv[1:])\n        print(\"\\n--- AI 诊断结果 ---\")\n        print(analyze_error(error_text))\n        print(\"-------------------\\n\")\n    else:\n        print(\"用法: python main.py <你的报错信息>\")", "url": "https://wpnews.pro/news/gist-75ccf47238f264353a6fa7201b8ad8d7", "canonical_source": "https://gist.github.com/shikun2733731303-hub/75ccf47238f264353a6fa7201b8ad8d7", "published_at": "2026-05-22 07:04:38+00:00", "updated_at": "2026-05-22 07:07:24.148975+00:00", "lang": "en", "topics": ["artificial-intelligence", "developer-tools", "large-language-models"], "entities": [], "alternates": {"html": "https://wpnews.pro/news/gist-75ccf47238f264353a6fa7201b8ad8d7", "markdown": "https://wpnews.pro/news/gist-75ccf47238f264353a6fa7201b8ad8d7.md", "text": "https://wpnews.pro/news/gist-75ccf47238f264353a6fa7201b8ad8d7.txt", "jsonld": "https://wpnews.pro/news/gist-75ccf47238f264353a6fa7201b8ad8d7.jsonld"}}