- Updated embedding_manager.py to include backend parameter in model configuration.
- Modified model_manager.py to utilize cache_name for ONNX models.
- Refactored hybrid_search.py to improve embedder initialization based on backend type.
- Added backend column to vector_store.py for better model configuration management.
- Implemented migration for existing database to include backend information.
- Enhanced API settings implementation with comprehensive provider and endpoint management.
- Introduced LiteLLM integration guide detailing configuration and usage.
- Added examples for LiteLLM usage in TypeScript.
- Added a new Storage Manager component to handle storage statistics, project cleanup, and configuration for CCW centralized storage.
- Introduced functions to calculate directory sizes, get project storage stats, and clean specific or all storage.
- Enhanced SQLiteStore with a public API for executing queries securely.
- Updated tests to utilize the new execute_query method and validate storage management functionalities.
- Improved performance by implementing connection pooling with idle timeout management in SQLiteStore.
- Added new fields (token_count, symbol_type) to the symbols table and adjusted related insertions.
- Enhanced error handling and logging for storage operations.
- Add .codex/Agent.md: Codex agent execution protocol
- Add .gemini/CLAUDE.md: Gemini agent execution protocol
- Update Install-Claude.ps1: Install .codex/.gemini to user profile (global) or target dir (path mode)
- Update Install-Claude.sh: Same installation support for bash
- Update intelligent-tools-strategy.md: Add MODE field definitions for Gemini/Qwen/Codex
- Update README.md: Add installation notes and workflow selection guide
- Update README_CN.md: Add Chinese version of installation notes and workflow guide
Installation behavior:
- Global mode: .codex and .gemini install to ~/.codex and ~/.gemini
- Path mode: .codex and .gemini install to <target-dir>/.codex and <target-dir>/.gemini
- Automatic backup of existing files before installation
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>