Protokoll #15123

ID15123
Zeitstempel2025-12-25 13:53:57.954923
Clientroot
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
Modellclaude-sonnet-4-20250514
Statuscompleted
Tokens972 (Input: 0, Output: 0)
Dauer103 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": "\/var\/www\/scripts\/pipeline\/generate.py",
        "limit": 100
    }
}

Response

{
    "tool_response": {
        "type": "text",
        "file": {
            "filePath": "\/var\/www\/scripts\/pipeline\/generate.py",
            "content": "#!\/usr\/bin\/env python3\n\"\"\"\nContent Generation for KI-System\nGenerates content using RAG context, author profiles, and contracts.\n\"\"\"\n\nimport json\nimport sys\n\nsys.path.insert(0, \"\/var\/www\/scripts\/pipeline\")\n\nfrom config import ANTHROPIC_API_KEY, ANTHROPIC_MODEL, OLLAMA_CHAT_MODEL, OLLAMA_HOST  # noqa: I001, E402\nfrom db import db  # noqa: E402\nfrom embed import search_similar  # noqa: E402\n\n\ndef _repair_json(json_str):\n    \"\"\"\n    Attempt to repair common JSON issues from LLM output.\n\n    Fixes:\n    - Unescaped quotes in strings\n    - Missing commas between array elements\n    - Trailing commas\n    - Control characters in strings\n    \"\"\"\n    import re\n\n    # Remove control characters except newlines and tabs\n    json_str = re.sub(r\"[\\x00-\\x08\\x0b\\x0c\\x0e-\\x1f]\", \"\", json_str)\n\n    # Fix common issue: missing comma before closing bracket in arrays\n    json_str = re.sub(r'\"\\s*\\n\\s*]', '\"\\n]', json_str)\n\n    # Fix trailing commas before closing brackets\/braces\n    json_str = re.sub(r\",\\s*}\", \"}\", json_str)\n    json_str = re.sub(r\",\\s*]\", \"]\", json_str)\n\n    # Fix missing commas between array elements (string followed by string)\n    json_str = re.sub(r'\"\\s*\\n\\s*\"', '\",\\n\"', json_str)\n\n    # Fix unescaped quotes within strings (heuristic: quotes not at boundaries)\n    # This is tricky, so we do a simple fix for common patterns\n    lines = json_str.split(\"\\n\")\n    fixed_lines = []\n    for line in lines:\n        # Count quotes - if odd number and line has content, try to fix\n        quote_count = line.count('\"') - line.count('\\\\\"')\n        if quote_count % 2 != 0 and \":\" in line:\n            # Try to escape internal quotes (very basic heuristic)\n            parts = line.split(\":\", 1)\n            if len(parts) == 2:\n                key_part = parts[0]\n                value_part = parts[1]\n                # If value has odd quotes, try to balance\n                if value_part.count('\"') % 2 != 0:\n                    # Add escaped quote or remove problematic char\n                    value_part = value_part.rstrip().rstrip(\",\")\n                    if not value_part.endswith('\"'):\n                        value_part += '\"'\n                    line = key_part + \":\" + value_part\n        fixed_lines.append(line)\n\n    return \"\\n\".join(fixed_lines)\n\n\ndef get_prompt(name):\n    \"\"\"Load prompt from database by name.\"\"\"\n    cursor = db.execute(\n        \"\"\"SELECT content FROM prompts WHERE name = %s AND is_active = 1 ORDER BY version DESC LIMIT 1\"\"\",\n        (name,),\n    )\n    result = cursor.fetchone()\n    cursor.close()\n    return result[\"content\"] if result else None\n\n\ndef get_rag_context(briefing, collection=\"documents\", limit=5):\n    \"\"\"\n    Get relevant context from Qdrant based on briefing.\n    Returns list of chunks with content and metadata.\n    \"\"\"\n    results = search_similar(briefing, collection=collection, limit=limit)\n\n    context_items = []\n    for result in results:\n        context_items.append(\n            {\n                \"content\": result[\"payload\"].get(\"content\", \"\"),\n                \"source\": result[\"payload\"].get(\"document_title\", \"Unknown\"),\n                \"score\": round(result[\"score\"], 4),\n                \"chunk_id\": result[\"payload\"].get(\"chunk_id\"),\n                \"document_id\": result[\"payload\"].get(\"document_id\"),\n            }\n        )\n\n    return context_items\n\n\ndef get_config_item(item_id, item_type):",
            "numLines": 100,
            "startLine": 1,
            "totalLines": 1133
        }
    }
}
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