Addressed Gemini code review feedback by refactoring repetitive log processing:
✅ **Added _process_log_stream helper function**:
- Encapsulates common pattern of reading, filtering, formatting, and printing log lines
- Takes tailer, filter_func, and format_func as parameters
- Eliminates repetitive timestamp and formatting logic
✅ **Simplified main monitoring loop**:
- Reduced from ~35 lines of repetitive code to 4 clean function calls
- Each log stream now uses: _process_log_stream(tailer, filter, formatter)
- Eliminated duplicate timestamp creation (reduced from 4 to 1 occurrence)
✅ **Improved maintainability**:
- Changes to log processing logic now only need to be made in one place
- Cleaner, more readable main loop
- Better separation of concerns
✅ **Verified functionality**:
- All containers rebuild and start successfully
- Log monitor functions correctly with refactored code
- No functional changes, only code organization improvements
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Fixed code quality issues identified by Gemini code review:
- Removed dead code: create_line_handler function was defined but never used
- Eliminated unused parameter warning
- Cleaned up unnecessary complexity in log_monitor.py
- The monitor_mcp_activity function implements all needed logic inline
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Exit early at MCP boundary if files won't fit within given context of chosen model
- Encourage claude to re-run with better context
- Check file sizes before embedding
- Drop files from older conversations when building continuations and give priority to newer files
- List and mention excluded files to Claude on return
- Improved tests
- Improved precommit prompt
- Added a new Low severity to precommit
- Improved documentation of file embedding strategy
- Refactor
* Support for Custom URLs and custom models, including locally hosted models such as ollama
* Support for native + openrouter + local models (i.e. dozens of models) means you can start delegating sub-tasks to particular models or work to local models such as localizations or other boring work etc.
* Several tests added
* precommit to also include untracked (new) files
* Logfile auto rollover
* Improved logging
This major refactoring addresses critical bugs in conversation history management
and significantly improves token efficiency through intelligent file embedding:
**Key Improvements:**
• Fixed conversation history duplication bug by centralizing reconstruction in server.py
• Added intelligent file filtering to prevent re-embedding files already in conversation history
• Centralized file processing logic in BaseTool._prepare_file_content_for_prompt()
• Enhanced log monitoring with better categorization and file embedding visibility
• Updated comprehensive test suite to verify new architecture and edge cases
**Architecture Changes:**
• Removed duplicate conversation history reconstruction from tools/base.py
• Conversation history now handled exclusively by server.py:reconstruct_thread_context
• All tools now use centralized file processing with automatic deduplication
• Improved token efficiency by embedding unique files only once per conversation
**Performance Benefits:**
• Reduced token usage through smart file filtering
• Eliminated redundant file embeddings in continued conversations
• Better observability with detailed debug logging for file operations
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
