Protokoll #15237

ID15237
Zeitstempel2025-12-25 15:49:45.380683
Clientroot
IP145.224.72.140
Modellclaude-sonnet-4-20250514
Statuscompleted
Tokens779 (Input: 387, Output: 392)
Dauer110 ms
Request-Zeit2025-12-25 15:49:45.380683
Response-Zeit2025-12-25 15:49:45.490805

Request

{
    "event": "PreToolUse",
    "tool_name": "Write",
    "tool_input": {
        "file_path": "\/var\/www\/scripts\/pipeline\/knowledge\/__init__.py",
        "content": "\"\"\"\nKnowledge-Package für modulare Wissensextraktion.\n\nEbenen:\n1. Seite (page): Detailanalyse pro Einzelseite\n2. Abschnitt (section): Aggregation pro Kapitel\/Unterkapitel\n3. Dokument (document): Konsolidierte Gesamtsicht\n\nWissenstypen:\n- Entitäten: Personen, Konzepte, Methoden, Organisationen\n- Semantik: Bedeutung, Definition, Referenzen\n- Ontologie: Wechselwirkungen zwischen Entitäten\n- Taxonomie: Hierarchische Einordnung\n\"\"\"\n\nfrom .models import KnowledgeLevel, KnowledgeType, ModelConfig, DEFAULT_MODELS\nfrom .llm_service import LLMService\nfrom .entity_extractor import EntityExtractor\nfrom .semantic_extractor import SemanticExtractor\nfrom .ontology_extractor import OntologyExtractor\nfrom .taxonomy_extractor import TaxonomyExtractor\nfrom .storage import store_knowledge, KnowledgeStorage\nfrom .analyzer import KnowledgeExtractor\nfrom .utils import get_model_config, process_document_knowledge\n\n__all__ = [\n    # Models\n    \"KnowledgeLevel\",\n    \"KnowledgeType\",\n    \"ModelConfig\",\n    \"DEFAULT_MODELS\",\n    # Services\n    \"LLMService\",\n    \"KnowledgeStorage\",\n    \"store_knowledge\",\n    # Extractors\n    \"EntityExtractor\",\n    \"SemanticExtractor\",\n    \"OntologyExtractor\",\n    \"TaxonomyExtractor\",\n    # Main Analyzer\n    \"KnowledgeExtractor\",\n    # Utilities\n    \"get_model_config\",\n    \"process_document_knowledge\",\n]\n"
    }
}

Response

{
    "tool_response": {
        "type": "create",
        "filePath": "\/var\/www\/scripts\/pipeline\/knowledge\/__init__.py",
        "content": "\"\"\"\nKnowledge-Package für modulare Wissensextraktion.\n\nEbenen:\n1. Seite (page): Detailanalyse pro Einzelseite\n2. Abschnitt (section): Aggregation pro Kapitel\/Unterkapitel\n3. Dokument (document): Konsolidierte Gesamtsicht\n\nWissenstypen:\n- Entitäten: Personen, Konzepte, Methoden, Organisationen\n- Semantik: Bedeutung, Definition, Referenzen\n- Ontologie: Wechselwirkungen zwischen Entitäten\n- Taxonomie: Hierarchische Einordnung\n\"\"\"\n\nfrom .models import KnowledgeLevel, KnowledgeType, ModelConfig, DEFAULT_MODELS\nfrom .llm_service import LLMService\nfrom .entity_extractor import EntityExtractor\nfrom .semantic_extractor import SemanticExtractor\nfrom .ontology_extractor import OntologyExtractor\nfrom .taxonomy_extractor import TaxonomyExtractor\nfrom .storage import store_knowledge, KnowledgeStorage\nfrom .analyzer import KnowledgeExtractor\nfrom .utils import get_model_config, process_document_knowledge\n\n__all__ = [\n    # Models\n    \"KnowledgeLevel\",\n    \"KnowledgeType\",\n    \"ModelConfig\",\n    \"DEFAULT_MODELS\",\n    # Services\n    \"LLMService\",\n    \"KnowledgeStorage\",\n    \"store_knowledge\",\n    # Extractors\n    \"EntityExtractor\",\n    \"SemanticExtractor\",\n    \"OntologyExtractor\",\n    \"TaxonomyExtractor\",\n    # Main Analyzer\n    \"KnowledgeExtractor\",\n    # Utilities\n    \"get_model_config\",\n    \"process_document_knowledge\",\n]\n",
        "structuredPatch": [],
        "originalFile": null
    }
}
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