Protokoll #3258

ID3258
Zeitstempel2025-12-22 02:11:10.903063
Clientroot
IP145.224.96.190
Modellclaude-sonnet-4-20250514
Statuscompleted
Tokens265 (Input: 34, Output: 231)
Dauer84 ms
Request-Zeit2025-12-22 02:11:10.903063
Response-Zeit2025-12-22 02:11:10.986917

Request

{
    "event": "PreToolUse",
    "tool_name": "Read",
    "tool_input": {
        "file_path": "\/opt\/scripts\/pipeline\/generate.py",
        "offset": 560,
        "limit": 30
    }
}

Response

{
    "tool_response": {
        "type": "text",
        "file": {
            "filePath": "\/opt\/scripts\/pipeline\/generate.py",
            "content": "    )\n    result = cursor.fetchone()\n    cursor.close()\n    return result\n\n\ndef get_prompt(name):\n    \"\"\"Load prompt from database by name.\"\"\"\n    cursor = db.execute(\n        \"\"\"SELECT content FROM prompts WHERE name = %s AND is_active = 1 ORDER BY version DESC LIMIT 1\"\"\",\n        (name,),\n    )\n    result = cursor.fetchone()\n    cursor.close()\n    return result[\"content\"] if result else None\n\n\ndef run_critic(content, critic_id, model=\"anthropic\"):\n    \"\"\"\n    Run a single critic on content.\n\n    Returns:\n        dict with feedback and rating\n    \"\"\"\n    db.connect()\n\n    try:\n        critic = get_critic(critic_id)\n        if not critic:\n            return {\"error\": f\"Critic {critic_id} not found\"}",
            "numLines": 30,
            "startLine": 560,
            "totalLines": 878
        }
    }
}
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