Protokoll #27228

ID27228
Zeitstempel2025-12-28 02:46:33.214893
Clientroot
IP145.224.72.140
Modellclaude-sonnet-4-20250514
Statuscompleted
Tokens608 (Input: 252, Output: 356)
Dauer93 ms
Request-Zeit2025-12-28 02:46:33.214893
Response-Zeit2025-12-28 02:46:33.308087

Request

{
    "event": "PreToolUse",
    "tool_name": "mcp__mcp-tasks__tasks_result",
    "tool_input": {
        "id": 499,
        "response": "## Task #499 abgeschlossen: Pipeline-Integration\n\n### Implementierte Änderungen\n\n1. **Import hinzugefügt** (pipeline.py:40-46):\n```python\nfrom step_semantic_extended import (\n    DuplicateCheckStep,\n    KnowledgeSemanticAnalyzeStep,\n    KnowledgeSemanticStoreStep,\n    TextSemanticAnalyzeStep,\n    TextSemanticStoreStep,\n)\n```\n\n2. **Neue Funktion `process_file_v5()`** (pipeline.py:158-306):\n   - Semantik VOR Embedding (wissenschaftlich korrekt)\n   - Duplicate-Check mit Hash\n   - Text-Semantik Analyse + Speicherung\n   - Knowledge-Semantik Analyse + Speicherung\n   - Dann erst Embeddings\n\n3. **Pipeline-Auswahl in `run_full_pipeline()`**:\n   - `pipeline_id=5` → `process_file_v5()`\n   - `pipeline_id=1-4` → `process_file()` (Legacy)\n\n### Tests\n- Syntax: OK\n- Imports: OK\n- Ruff: All checks passed",
        "executor": "claude",
        "executor_type": "claude",
        "status": "success"
    }
}

Response

{
    "tool_response": [
        {
            "type": "text",
            "text": "{\n  \"success\": true,\n  \"result\": {\n    \"id\": 491,\n    \"task_id\": 499,\n    \"executor\": \"claude\",\n    \"executor_type\": \"claude\",\n    \"model_name\": null,\n    \"request\": null,\n    \"response\": \"## Task #499 abgeschlossen: Pipeline-Integration\\n\\n### Implementierte Änderungen\\n\\n1. **Import hinzugefügt** (pipeline.py:40-46):\\n```python\\nfrom step_semantic_extended import (\\n    DuplicateCheckStep,\\n    KnowledgeSemanticAnalyzeStep,\\n    KnowledgeSemanticStoreStep,\\n    TextSemanticAnalyzeStep,\\n    TextSemanticStoreStep,\\n)\\n```\\n\\n2. **Neue Funktion `process_file_v5()`** (pipeline.py:158-306):\\n   - Semantik VOR Embedding (wissenschaftlich korrekt)\\n   - Duplicate-Check mit Hash\\n   - Text-Semantik Analyse + Speicherung\\n   - Knowledge-Semantik Analyse + Speicherung\\n   - Dann erst Embeddings\\n\\n3. **Pipeline-Auswahl in `run_full_pipeline()`**:\\n   - `pipeline_id=5` → `process_file_v5()`\\n   - `pipeline_id=1-4` → `process_file()` (Legacy)\\n\\n### Tests\\n- Syntax: OK\\n- Imports: OK\\n- Ruff: All checks passed\",\n    \"status\": \"success\",\n    \"error_message\": null,\n    \"tokens_input\": 0,\n    \"tokens_output\": 0,\n    \"tokens_total\": 0,\n    \"cost_usd\": 0.0,\n    \"duration_ms\": 0,\n    \"created_at\": \"2025-12-28T02:46:33.243835\"\n  },\n  \"message\": \"Result saved for Task #499\"\n}"
        }
    ]
}
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