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de3dd044b9
- Introduced a new `indexing` group in the environment variable schema with fields for AST grep usage, static graph enablement, and relationship types. - Updated the CodexLens configuration to support new indexing features. feat: Enhance DashboardToolbar with session and fullscreen controls - Added props for session sidebar visibility and fullscreen mode to the DashboardToolbar component. - Implemented handlers for toggling session sidebar and fullscreen mode. - Updated the toolbar layout to include session sidebar toggle and fullscreen button. refactor: Improve TerminalGrid and TerminalPane components - Refactored GridGroupRenderer to handle pane size changes directly via store. - Enhanced TerminalPane to remove unused file browser logic and improve layout handling. - Updated key generation for child panes to ensure stability. feat: Extend CodexLens API for staged Stage-2 expansion modes - Added support for `staged_stage2_mode` in the CodexLens API, allowing for different expansion strategies. - Updated semantic search handlers to process new stage-2 mode parameter. - Implemented validation and handling for new stage-2 modes in the backend. test: Add benchmarks for staged Stage-2 modes comparison - Created a benchmark script to compare performance and results of different staged Stage-2 modes. - Included metrics for latency, overlap, and diversity across modes.
CodexLens
CodexLens is a multi-modal code analysis platform designed to provide comprehensive code understanding and analysis capabilities.
Features
- Multi-language Support: Analyze code in Python, JavaScript, TypeScript and more using Tree-sitter parsers
- Semantic Search: Find relevant code snippets using semantic understanding with fastembed and HNSWLIB
- Code Parsing: Advanced code structure parsing with tree-sitter
- Flexible Architecture: Modular design for easy extension and customization
Installation
Basic Installation
pip install codex-lens
With Semantic Search
pip install codex-lens[semantic]
With GPU Acceleration (NVIDIA CUDA)
pip install codex-lens[semantic-gpu]
With DirectML (Windows - NVIDIA/AMD/Intel)
pip install codex-lens[semantic-directml]
With All Optional Features
pip install codex-lens[full]
Requirements
- Python >= 3.10
- See
pyproject.tomlfor detailed dependency list
Development
This project uses setuptools for building and packaging.
License
MIT License
Authors
CodexLens Contributors