{
"event": "PreToolUse",
"tool_name": "Read",
"tool_input": {
"file_path": "\/var\/www\/scripts\/pipeline\/pipeline.py",
"offset": 280,
"limit": 15
}
}
{
"tool_response": {
"type": "text",
"file": {
"filePath": "\/var\/www\/scripts\/pipeline\/pipeline.py",
"content": " if entities:\n # Convert to list of dicts\n entity_list = [\n {\"id\": e[\"id\"], \"name\": e[\"name\"], \"type\": e[\"type\"], \"context\": e[\"context\"]}\n for e in entities\n ]\n\n # Analyze knowledge semantics\n analyzed_entities = knowledge_semantic_analyze.execute(entity_list, {\"model\": \"mistral\"})\n\n # Store knowledge semantics\n knowledge_semantic_store.execute(analyzed_entities, {})\n\n if progress and progress.is_cancelled():\n return \"cancelled\", len(chunks), 0",
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}