Protokoll #642

ID642
Zeitstempel2025-12-20 17:09:17.617806
Clientroot
IP145.224.96.190
Modellclaude-sonnet-4-20250514
Statuspending
Tokens587 (Input: 587, Output: 0)
Dauer-
Request-Zeit2025-12-20 17:09:17.617806
Response-Zeit-

Request

{
    "event": "PostToolUse",
    "raw_data": {
        "session_id": "331ef6ce-5317-4d09-8537-d11250fca419",
        "transcript_path": "\/root\/.claude\/projects\/-var-www\/331ef6ce-5317-4d09-8537-d11250fca419.jsonl",
        "cwd": "\/var\/www",
        "permission_mode": "acceptEdits",
        "hook_event_name": "PostToolUse",
        "tool_name": "Read",
        "tool_input": {
            "file_path": "\/opt\/scripts\/pipeline\/analyze.py",
            "offset": 170,
            "limit": 50
        },
        "tool_response": {
            "type": "text",
            "file": {
                "filePath": "\/opt\/scripts\/pipeline\/analyze.py",
                "content": "            data = json.loads(json_match.group())\n            return data.get(\"relations\", [])\n        return []\n    except Exception as e:\n        db.log(\"ERROR\", f\"Relation extraction failed: {e}\")\n        return []\n\n\ndef classify_taxonomy(text, client=None):\n    \"\"\"Classify text into taxonomy categories.\"\"\"\n    prompt_template = db.get_prompt(\"taxonomy_classification\")\n\n    if not prompt_template:\n        prompt_template = \"\"\"Klassifiziere den folgenden Text in passende Kategorien.\n\nWähle aus diesen Hauptkategorien:\n- Methoden (Therapiemethoden, Techniken)\n- Theorie (Konzepte, Modelle, Grundlagen)\n- Praxis (Anwendung, Fallbeispiele)\n- Organisation (Strukturen, Prozesse)\n- Kommunikation (Gesprächsführung, Interaktion)\n- Entwicklung (Persönliche Entwicklung, Veränderung)\n\nAntworte NUR im JSON-Format:\n{\"categories\": [\"...\", \"...\"], \"confidence\": 0.0-1.0}\n\nText:\n{{TEXT}}\"\"\"\n\n    prompt = prompt_template.replace(\"{{TEXT}}\", text[:2000])\n\n    try:\n        if client:\n            message = client.messages.create(\n                model=ANTHROPIC_MODEL, max_tokens=500, messages=[{\"role\": \"user\", \"content\": prompt}]\n            )\n            response_text = message.content[0].text\n        else:\n            response = requests.post(\n                f\"{OLLAMA_HOST}\/api\/generate\",\n                json={\"model\": \"mistral\", \"prompt\": prompt, \"stream\": False, \"format\": \"json\"},\n                timeout=60,\n            )\n            response.raise_for_status()\n            response_text = response.json().get(\"response\", \"{}\")\n\n        import re\n\n        json_match = re.search(r\"\\{[\\s\\S]*\\}\", response_text)\n        if json_match:",
                "numLines": 50,
                "startLine": 170,
                "totalLines": 361
            }
        },
        "tool_use_id": "toolu_01UVpwW6buFys7UKV3z2DXvB"
    }
}

Response

-
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