{
"event": "PreToolUse",
"tool_name": "Grep",
"tool_input": {
"pattern": "entity_extraction_pass",
"path": "\/var\/www\/scripts\/pipeline\/analyzers",
"output_mode": "content",
"-B": 2,
"-A": 5
}
}
{
"tool_response": {
"mode": "content",
"numFiles": 0,
"filenames": [],
"content": "\/var\/www\/scripts\/pipeline\/analyzers\/entity_extractor.py-145- \"\"\"\n\/var\/www\/scripts\/pipeline\/analyzers\/entity_extractor.py-146- # Try 2-pass approach first\nanalyzers\/entity_extractor.py:147: pass1_template = db.get_prompt(\"entity_extraction_pass1\")\nanalyzers\/entity_extractor.py:148: pass2_template = db.get_prompt(\"entity_extraction_pass2\")\n\/var\/www\/scripts\/pipeline\/analyzers\/entity_extractor.py-149-\nanalyzers\/entity_extractor.py-150- if pass1_template and pass2_template:\n\/var\/www\/scripts\/pipeline\/analyzers\/entity_extractor.py-151- return _extract_entities_2pass(text, pass1_template, pass2_template, model)\n\/var\/www\/scripts\/pipeline\/analyzers\/entity_extractor.py-152-\n\/var\/www\/scripts\/pipeline\/analyzers\/entity_extractor.py-153- # Fallback to single-pass\n--\n\/var\/www\/scripts\/pipeline\/analyzers\/entity_extractor.py-178-\n\/var\/www\/scripts\/pipeline\/analyzers\/entity_extractor.py-179- protokoll.log_llm_call(\nanalyzers\/entity_extractor.py:180: request=f\"[entity_extraction_pass1] {len(valid_entities)} entities\",\nanalyzers\/entity_extractor.py-181- response=json.dumps(valid_entities[:10], ensure_ascii=False),\nanalyzers\/entity_extractor.py-182- model_name=f\"ollama:{model}\",\n\/var\/www\/scripts\/pipeline\/analyzers\/entity_extractor.py-183- tokens_input=tok_in1,\n\/var\/www\/scripts\/pipeline\/analyzers\/entity_extractor.py-184- tokens_output=tok_out1,\n\/var\/www\/scripts\/pipeline\/analyzers\/entity_extractor.py-185- duration_ms=dur1,\n--\n\/var\/www\/scripts\/pipeline\/analyzers\/entity_extractor.py-201-\n\/var\/www\/scripts\/pipeline\/analyzers\/entity_extractor.py-202- protokoll.log_llm_call(\nanalyzers\/entity_extractor.py:203: request=f\"[entity_extraction_pass2] categorize {len(valid_entities)} entities\",\nanalyzers\/entity_extractor.py-204- response=resp2[:1000],\nanalyzers\/entity_extractor.py-205- model_name=f\"ollama:{model}\",\n\/var\/www\/scripts\/pipeline\/analyzers\/entity_extractor.py-206- tokens_input=tok_in2,\n\/var\/www\/scripts\/pipeline\/analyzers\/entity_extractor.py-207- tokens_output=tok_out2,\n\/var\/www\/scripts\/pipeline\/analyzers\/entity_extractor.py-208- duration_ms=dur2,",
"numLines": 27
}
}