Protokoll #6500
| ID | 6500 |
|---|---|
| Zeitstempel | 2025-12-23 05:58:20.733623 |
| Client | root |
| IP | Warning: Undefined array key "request_ip" in /var/www/dev.campus.systemische-tools.de/src/View/protokoll/show.php on line 13 Deprecated: htmlspecialchars(): Passing null to parameter #1 ($string) of type string is deprecated in /var/www/dev.campus.systemische-tools.de/src/View/protokoll/show.php on line 13 |
| Modell | claude-sonnet-4-20250514 |
| Status | completed |
| Tokens | 485 (Input: 0, Output: 0) |
| Dauer | 95 ms |
| Request-Zeit | Warning: Undefined array key "request_timestamp" in /var/www/dev.campus.systemische-tools.de/src/View/protokoll/show.php on line 18 |
| Response-Zeit | - |
Warning: Undefined array key "error_message" in /var/www/dev.campus.systemische-tools.de/src/View/protokoll/show.php on line 22
Request
{
"event": "PreToolUse",
"tool_name": "Read",
"tool_input": {
"file_path": "\/opt\/scripts\/pipeline\/analyze.py",
"offset": 75,
"limit": 50
}
}Response
{
"tool_response": {
"type": "text",
"file": {
"filePath": "\/opt\/scripts\/pipeline\/analyze.py",
"content": " prompt_template = \"\"\"Analysiere den folgenden deutschen Text und extrahiere alle wichtigen Entitäten.\n\nKategorisiere jede Entität als:\n- PERSON (Namen von Personen)\n- ORGANIZATION (Firmen, Institutionen, Gruppen)\n- CONCEPT (Fachbegriffe, Methoden, Theorien)\n- LOCATION (Orte, Länder)\n- DATE (Zeitangaben)\n- OTHER (Sonstiges)\n\nAntworte NUR im JSON-Format:\n{\"entities\": [{\"name\": \"...\", \"type\": \"...\", \"context\": \"kurzer Kontext der Erwähnung\"}]}\n\nText:\n{{TEXT}}\"\"\"\n\n prompt = prompt_template.replace(\"{{TEXT}}\", text[:4000])\n\n try:\n message = client.messages.create(\n model=ANTHROPIC_MODEL, max_tokens=2000, messages=[{\"role\": \"user\", \"content\": prompt}]\n )\n\n response_text = message.content[0].text\n\n # Extract JSON from response\n import re\n\n json_match = re.search(r\"\\{[\\s\\S]*\\}\", response_text)\n if json_match:\n entities = json.loads(json_match.group())\n return entities.get(\"entities\", [])\n return []\n except Exception as e:\n db.log(\"ERROR\", f\"Anthropic entity extraction failed: {e}\")\n return []\n\n\ndef extract_relations(text, entities, client=None):\n \"\"\"Extract relations between entities.\"\"\"\n if not entities or len(entities) < 2:\n return []\n\n entity_names = [e[\"name\"] for e in entities[:20]]\n\n # Load prompt from database\n prompt_template = db.get_prompt(\"relation_extraction\")\n\n if not prompt_template:\n db.log(\"WARNING\", \"relation_extraction prompt not found in DB, using fallback\")",
"numLines": 50,
"startLine": 75,
"totalLines": 358
}
}
}