Protokoll #24962

ID24962
Zeitstempel2025-12-28 01:49:59.512977
Clientroot
IP145.224.72.140
Modellclaude-sonnet-4-20250514
Statuscompleted
Tokens764 (Input: 356, Output: 408)
Dauer84 ms
Request-Zeit2025-12-28 01:49:59.512977
Response-Zeit2025-12-28 01:49:59.597459

Request

{
    "event": "PreToolUse",
    "tool_name": "mcp__mcp-tasks__tasks_result",
    "tool_input": {
        "id": 493,
        "response": "## Task #493 abgeschlossen: DB-Schema für Textsemantik und Wissenssemantik\n\n### Ergebnis\n\n**2 Tabellen erfolgreich erstellt in ki_content:**\n\n#### 1. chunk_text_semantics\n- `statement_form`: ENUM(assertion, question, command, conditional)\n- `intent`: ENUM(explain, argue, define, compare, exemplify, warn, instruct)\n- `frame`: ENUM(theoretical, practical, historical, methodological, critical)\n- `is_negated`: BOOLEAN\n- `discourse_role`: ENUM(thesis, evidence, example, counter, summary, definition)\n- FK: chunk_id → chunks(id) ON DELETE CASCADE\n- Indizes: idx_chunk, idx_intent, idx_discourse\n\n#### 2. entity_knowledge_semantics\n- `semantic_role`: ENUM(agent, patient, instrument, location, cause, effect)\n- `properties`: JSON\n- `functional_category`: ENUM(method, tool, concept, actor, outcome, process)\n- `context_meaning`: TEXT\n- FK: entity_id → entities(id), chunk_id → chunks(id)\n- Indizes: idx_entity, idx_chunk, idx_role\n\n### Validierung\n- ✅ CLAUDE.md gelesen\n- ✅ Bestehende Tabellen analysiert (kein Konflikt mit chunk_semantics\/entity_semantics)\n- ✅ Beide Tabellen via MCP erstellt\n- ✅ Foreign Keys funktionieren (Test-INSERT\/DELETE erfolgreich)\n- ✅ DRY\/KISS\/SRP eingehalten",
        "executor": "claude",
        "executor_type": "claude",
        "model_name": "claude-opus-4",
        "status": "success"
    }
}

Response

{
    "tool_response": [
        {
            "type": "text",
            "text": "{\n  \"success\": true,\n  \"result\": {\n    \"id\": 484,\n    \"task_id\": 493,\n    \"executor\": \"claude\",\n    \"executor_type\": \"claude\",\n    \"model_name\": \"claude-opus-4\",\n    \"request\": null,\n    \"response\": \"## Task #493 abgeschlossen: DB-Schema für Textsemantik und Wissenssemantik\\n\\n### Ergebnis\\n\\n**2 Tabellen erfolgreich erstellt in ki_content:**\\n\\n#### 1. chunk_text_semantics\\n- `statement_form`: ENUM(assertion, question, command, conditional)\\n- `intent`: ENUM(explain, argue, define, compare, exemplify, warn, instruct)\\n- `frame`: ENUM(theoretical, practical, historical, methodological, critical)\\n- `is_negated`: BOOLEAN\\n- `discourse_role`: ENUM(thesis, evidence, example, counter, summary, definition)\\n- FK: chunk_id → chunks(id) ON DELETE CASCADE\\n- Indizes: idx_chunk, idx_intent, idx_discourse\\n\\n#### 2. entity_knowledge_semantics\\n- `semantic_role`: ENUM(agent, patient, instrument, location, cause, effect)\\n- `properties`: JSON\\n- `functional_category`: ENUM(method, tool, concept, actor, outcome, process)\\n- `context_meaning`: TEXT\\n- FK: entity_id → entities(id), chunk_id → chunks(id)\\n- Indizes: idx_entity, idx_chunk, idx_role\\n\\n### Validierung\\n- ✅ CLAUDE.md gelesen\\n- ✅ Bestehende Tabellen analysie...\",\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\": 1,\n    \"created_at\": \"2025-12-28T01:49:59.534886\"\n  },\n  \"message\": \"Result saved for Task #493\"\n}"
        }
    ]
}
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