{
"event": "PostToolUse",
"raw_data": {
"session_id": "18ef5bf3-e872-4052-897e-53d6dc45b0b9",
"transcript_path": "\/root\/.claude\/projects\/-var-www\/18ef5bf3-e872-4052-897e-53d6dc45b0b9.jsonl",
"cwd": "\/var\/www\/scripts\/pipeline",
"permission_mode": "acceptEdits",
"hook_event_name": "PostToolUse",
"tool_name": "Read",
"tool_input": {
"file_path": "\/var\/www\/scripts\/pipeline\/knowledge.py",
"offset": 115,
"limit": 20
},
"tool_response": {
"type": "text",
"file": {
"filePath": "\/var\/www\/scripts\/pipeline\/knowledge.py",
"content": " payload = {\n \"model\": self.model.model_name,\n \"prompt\": prompt,\n \"stream\": False,\n \"options\": {\"temperature\": self.model.temperature},\n }\n if json_output:\n payload[\"format\"] = \"json\"\n\n resp = requests.post(f\"{OLLAMA_HOST}\/api\/generate\", json=payload, timeout=120)\n resp.raise_for_status()\n data = resp.json()\n result = data.get(\"response\", \"\")\n tokens_in = data.get(\"prompt_eval_count\", 0)\n tokens_out = data.get(\"eval_count\", 0)\n\n duration_ms = int((time.time() - start_time) * 1000)\n\n # Protokolliere LLM-Aufruf\n db.log_to_protokoll(",
"numLines": 20,
"startLine": 115,
"totalLines": 905
}
},
"tool_use_id": "toolu_0115KZ2By5EDBiVVUbVSk9xW"
}
}