{
"event": "PreToolUse",
"tool_name": "WebFetch",
"tool_input": {
"url": "https:\/\/dev.campus.systemische-tools.de\/docs\/code",
"prompt": "List all code documentation entries, especially those related to pipeline, analyze.py, db.py, vision.py, embed.py"
}
}
{
"tool_response": {
"bytes": 153781,
"code": 200,
"codeText": "OK",
"result": "# Code Documentation Entries Analysis\n\nBased on the provided web page content, here are the relevant documentation entries:\n\n## Pipeline-Related Files\n- **PipelineRepository.php** (19 functions, 366 lines)\n- **PipelineStepService.php** (5 functions, 145 lines)\n- **PipelineRunStatus.php** (7 functions, 93 lines)\n- **RunPipelineUseCase.php** (5 functions, 113 lines)\n- **UpdatePipelineConfigUseCase.php** (2 functions, 61 lines)\n- **PipelineRunStatusUseCase.php** (4 functions, 98 lines)\n- **PipelineStepConfig.php** (5 functions, 259 lines)\n\n## Code Analysis\n- **CodeScanner.php** (11 functions, 232 lines)\n- **PhpFileParser.php** (16 functions, 760 lines)\n- **GetCodeAnalysisUseCase.php** (7 functions, 69 lines)\n- **CodeAnalysisRepository.php** (14 functions, 370 lines)\n\n## Notable Absence\nThe requested files **analyze.py, db.py, vision.py, and embed.py** do not appear in this code documentation index. The system primarily contains PHP-based infrastructure and appears to be a content management and AI analysis platform rather than a Python-based system.\n\nThe codebase emphasizes use cases, repositories, and domain-driven architecture patterns across 212 classes and 1,277 functions.",
"durationMs": 4611,
"url": "https:\/\/dev.campus.systemische-tools.de\/docs\/code"
}
}