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>
This commit addresses several critical issues and improvements:
🔧 Critical Fixes:
- Fixed conversation history not being included when using continuation_id in AI-to-AI conversations
- Fixed test mock targeting issues preventing proper conversation memory validation
- Fixed Docker debug logging functionality with Gemini tools
🐛 Bug Fixes:
- Docker compose configuration for proper container command execution
- Test mock import targeting from utils.conversation_memory.* to tools.base.*
- Version bump to 3.1.0 reflecting significant improvements
🚀 Improvements:
- Enhanced Docker environment configuration with comprehensive logging setup
- Added cross-tool continuation documentation and examples in README
- Improved error handling and validation across all tools
- Better logging configuration with LOG_LEVEL environment variable support
- Enhanced conversation memory system documentation
🧪 Testing:
- Added comprehensive conversation history bug fix tests
- Added cross-tool continuation functionality tests
- All 132 tests now pass with proper conversation history validation
- Improved test coverage for AI-to-AI conversation threading
✨ Code Quality:
- Applied black, isort, and ruff formatting across entire codebase
- Enhanced inline documentation for conversation memory system
- Cleaned up temporary files and improved repository hygiene
- Better test descriptions and coverage for critical functionality
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
• Moved AI-to-AI Conversation Threading section after "Start Using It\!"
• Now appears before Available Tools for logical progression
• Users learn basics first, then discover advanced collaboration features
• Improves documentation flow and user experience
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Major release introducing true AI collaboration capabilities:
• AI-to-AI conversation threading with Redis persistence
• Asynchronous workflow support - Claude can work between exchanges
• Incremental updates automatically bypass MCP's 25K token limit
• Cross-questioning and coordinated problem-solving between AIs
• Enhanced documentation with SwiftUI vs UIKit debate example
• Comprehensive test coverage and linting compliance
• Docker-first architecture with simplified setup
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Remove Windows batch scripts and native setup instructions since Claude Code CLI
requires WSL on Windows. Consolidate Docker as primary recommendation across all platforms.
Changes:
- Remove setup.bat, run_gemini.bat, setup-docker-env.bat
- Remove examples/claude_config_windows.json
- Update README to clarify WSL requirement for Windows users
- Promote Docker as recommended setup for all platforms
- Update troubleshooting section for WSL-only support
- Apply code formatting fixes from ruff/black
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Update DEBUG_ISSUE_PROMPT to request files when diagnostics are irrelevant/incomplete
- Clarify question field to specify what information is needed from Claude/user
- Update chat tool format_response to ask Claude to continue with user's request
- Update debug tool format_response to encourage implementing fixes when root cause identified
- Fix line length formatting to comply with 120 char limit
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Add file request capability using JSON format like THINKDEEP_PROMPT
- Include technology stack awareness and grounding instructions
- Ensure collaboration stays within project scope and constraints
- Fix trailing whitespace issues identified by ruff linter
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Add technology-specific considerations to all tool prompts (THINKDEEP, CODEREVIEW, DEBUG, ANALYZE, PRECOMMIT)
- Replace specific technology lists with generic key areas to prevent misdirection
- Add comprehensive grounding statements to prevent overstepping scope
- Enhance DEBUG_ISSUE_PROMPT with regression prevention guidance
- Add scope discipline and focus requirements to all prompts
- Fix trailing whitespace issues
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Add comprehensive technology-specific review categories and instructions to analyze codebase technology stack before reviewing. This enhancement will provide more targeted and relevant code reviews by adapting to different frameworks and patterns.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Fixed code formatting in server.py using black
- Only formatting changes, no functional modifications
- Ensures consistent code style across the project
All tests pass (96/96) and linting is clean:
- ✅ pytest: 96 tests passed
- ✅ ruff: all checks passed
- ✅ black: formatting applied
- ✅ isort: import sorting correct
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Replaced plain dict capabilities with proper ServerCapabilities object
- Added proper imports for ServerCapabilities and ToolsCapability from mcp.types
- Now correctly declares tools capability using ToolsCapability() instead of empty dict
- This follows the MCP protocol specification for server capability declaration
The previous implementation used {"tools": {}} which was not the correct way
to declare tool capabilities according to the MCP Python SDK. This fix ensures
proper capability negotiation during MCP client connection initialization.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Corrected thinking modes table to show `high` as default for thinkdeep (not `max`)
- Moved the default notation from `max` row to `high` row where it belongs
- This aligns with the actual tool implementation which uses "high" as default
The thinkdeep tool uses "high" (16,384 tokens) as its default thinking mode,
not "max" (32,768 tokens) as previously documented.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Removed all "Triggers:" lines from tool descriptions in README
- The trigger words were redundant since prompt examples already show usage
- Makes documentation cleaner and more focused on actual usage patterns
The prompt examples throughout the documentation already demonstrate
how to invoke each tool, making the trigger word lists unnecessary.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Added dedicated "Web Search Integration" section explaining the new behavior
- Updated all web search capability descriptions to reflect that Gemini recommends searches for Claude
- Added to table of contents for easy navigation
- Explained how the feature works with concrete examples
- Listed benefits of the collaborative approach
- Added note about disabling web search when needed
The documentation now clearly explains that:
- Web search is enabled by default
- Gemini analyzes when searches would help
- Provides specific search recommendations for Claude
- Claude performs the actual searches
- More collaborative and transparent approach
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
