Protokoll #24743

ID24743
Zeitstempel2025-12-28 01:10:27.664929
Clientroot
IP
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Modellclaude-sonnet-4-20250514
Statuspending
Tokens266 (Input: 0, Output: 0)
Dauer-
Request-Zeit
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Response-Zeit-

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Request

{
    "event": "PostToolUse",
    "tool_name": "Read",
    "tool_response": {
        "type": "text",
        "file": {
            "filePath": "\/var\/www\/scripts\/pipeline\/chunk.py",
            "content": "\"\"\"\nSemantic chunking for KI-System Pipeline\nSplits documents into meaningful chunks preserving hierarchy.\n\"\"\"\n\nimport re\n\nfrom config import CHUNK_OVERLAP_PERCENT, MAX_CHUNK_SIZE, MIN_CHUNK_SIZE\n\n\ndef split_into_sentences(text):\n    \"\"\"Split text into sentences.\"\"\"\n    # German-aware sentence splitting\n    pattern = r\"(?<=[.!?])\\s+(?=[A-ZÄÖÜ])\"\n    sentences = re.split(pattern, text)\n    return [s.strip() for s in sentences if s.strip()]\n\n\ndef calculate_overlap(chunk_size):\n    \"\"\"Calculate overlap size based on chunk size.\"\"\"\n    return int(chunk_size * CHUNK_OVERLAP_PERCENT \/ 100)\n\n\ndef chunk_by_structure(extraction_result):\n    \"\"\"\n    Chunk document based on its structure.\n    Preserves heading hierarchy in metadata.\n    \"\"\"\n    chunks = []\n    file_type = extraction_result[\"file_type\"]",
            "numLines": 30,
            "startLine": 1,
            "totalLines": 408
        }
    }
}

Response

-
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