Protokoll #24070

ID24070
Zeitstempel2025-12-27 15:46:44.847855
Clientroot
IP145.224.72.140
Modellclaude-sonnet-4-20250514
Statuscompleted
Tokens350 (Input: 257, Output: 93)
Dauer142 ms
Request-Zeit2025-12-27 15:46:44.847855
Response-Zeit2025-12-27 15:46:44.989487

Request

{
    "event": "PreToolUse",
    "tool_name": "Bash",
    "tool_input": {
        "command": "python3 -c \"\nimport json\nimport re\n\nwith open('\/root\/.claude\/projects\/-var-www-dev-campus-systemische-tools-de\/09d1b4f4-136c-4202-b55d-15a4ced425b4\/tool-results\/mcp-mcp-docs-docs_list-1766846785444.txt', 'r') as f:\n    data = json.load(f)\n\n# Parse nested JSON\ndocs_data = json.loads(data[0]['text'])\ndocs = docs_data.get('docs', [])\n\n# Find docs with Markdown headers\nmarkdown_docs = []\nfor doc in docs:\n    content = doc.get('content', '')\n    # Check for Markdown patterns\n    if content.startswith('# ') or re.search(r'^## ', content, re.MULTILINE) and not content.startswith('<'):\n        markdown_docs.append({\n            'id': doc['id'],\n            'path': doc['path'],\n            'title': doc['title']\n        })\n\nprint(f'Found {len(markdown_docs)} docs with Markdown format:')\nfor d in markdown_docs:\n    print(f\\\"{d['id']:4} | {d['path']:50} | {d['title']}\\\")\n\"",
        "description": "Find Markdown docs using Python"
    }
}

Response

{
    "tool_response": {
        "stdout": "Found 3 docs with Markdown format:\n 144 | \/frontend                                          | Frontend\n 100 | \/prozesse\/rag-prozess                              | RAG-Prozess\n 140 | \/frontend\/chat-ui-redesign-3-spalten               | Chat UI Redesign: 3-Spalten-Layout (KORRIGIERT)",
        "stderr": "",
        "interrupted": false,
        "isImage": false
    }
}
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