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
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- Add use_websearch parameter to base ToolRequest class
- All tools now inherit web search capability automatically
- Enhanced description emphasizes brainstorming and architectural design
- Add get_websearch_instruction() helper method to base class
- Update all tools to include web search in their prompts when enabled
- Update README documentation with web search examples
- Fix linting issues (ruff, black formatting)
Web search is particularly useful for:
- Brainstorming sessions and architectural design discussions
- Exploring industry best practices
- Working with specific frameworks/technologies
- Researching solutions to complex problems
- Getting current documentation and community insights
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Co-Authored-By: Claude <noreply@anthropic.com>
Major changes:
- Add comprehensive documentation to all modules with detailed docstrings
- Remove unused THINKING_MODEL config (use single GEMINI_MODEL with thinking_mode param)
- Remove list_models functionality (simplified to single model configuration)
- Rename DEFAULT_MODEL to GEMINI_MODEL for clarity
- Remove unused python-dotenv dependency
- Fix missing pydantic in setup.py dependencies
Documentation improvements:
- Document security measures in file_utils.py (path validation, sandboxing)
- Add detailed comments to critical logic sections
- Document tool creation process in BaseTool
- Explain configuration values and their impact
- Add comprehensive function-level documentation
Code quality:
- Apply black formatting to all files
- Fix all ruff linting issues
- Update tests to match refactored code
- All 63 tests passing
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Co-Authored-By: Claude <noreply@anthropic.com>
- Added review_pending_changes tool for pre-commit validation
- Fixed bug where temp files were outside project root causing NO FILES FOUND error
- Enhanced README with Claude + Gemini collaboration branding
- Fixed various linting issues
- All tests passing (65 tests)
- Remove Codecov coverage upload causing rate limit errors
- Remove pytest-cov dependency (not needed for CI)
- Simplify test workflow to focus on functionality
- All 37 tests still pass without coverage collection
- Workflow now more reliable and faster
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Major improvements to thinking capabilities and API integration:
- Remove all output token limits for future-proof responses
- Add 5-level thinking mode system: minimal, low, medium, high, max
- Migrate from google-generativeai to google-genai library
- Implement native thinkingBudget support for Gemini 2.5 Pro
- Set medium thinking as default for all tools, max for think_deeper
🧠 Thinking Modes:
- minimal (128 tokens) - simple tasks
- low (2048 tokens) - basic reasoning
- medium (8192 tokens) - default for most tools
- high (16384 tokens) - complex analysis
- max (32768 tokens) - default for think_deeper
🔧 Technical Changes:
- Complete migration to google-genai>=1.19.0
- Remove google-generativeai dependency
- Add ThinkingConfig with thinking_budget parameter
- Update all tools to support thinking_mode parameter
- Comprehensive test suite with 37 passing unit tests
- CI-friendly testing (no API key required for unit tests)
- Live integration tests for API verification
🧪 Testing & CI:
- Add GitHub Actions workflow with multi-Python support
- Unit tests use mocks, no API key required
- Live integration tests optional with API key
- Contributing guide with development setup
- All tests pass without external dependencies
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Co-Authored-By: Claude <noreply@anthropic.com>
- Update chat tool description to emphasize collaborative thinking capabilities
- Add explicit triggers for brainstorming and sharing ideas with Gemini
- Enhance prompt parameter description to include "current thinking"
- Update README to highlight chat as a thinking partner
- Update MCP_DISCOVERY.md with current tool names and enhanced examples
- Bump version to 2.5.0
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Co-Authored-By: Claude <noreply@anthropic.com>
Applied isort to properly sort all imports according to PEP8:
- Standard library imports first
- Third-party imports second
- Local imports last
- Alphabetical ordering within each group
All tests still passing after import reordering.
Major redesign of Gemini MCP Server with modular architecture:
- Removed all emoji characters from tool outputs for clean terminal display
- Kept review category emojis (🔴🟠🟡🟢) per user preference
- Added 4 specialized tools:
- think_deeper: Extended reasoning and problem-solving (temp 0.7)
- review_code: Professional code review with severity levels (temp 0.2)
- debug_issue: Root cause analysis and debugging (temp 0.2)
- analyze: General-purpose file analysis (temp 0.2)
- Modular architecture with base tool class and Pydantic models
- Verbose tool descriptions with natural language triggers
- Updated README with comprehensive examples and real-world use cases
- All 25 tests passing, type checking clean, critical linting clean
BREAKING CHANGE: Removed analyze_code tool in favor of specialized tools
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Co-Authored-By: Claude <noreply@anthropic.com>
- Added analyze_file tool for clean file analysis
- Added extended_think tool for collaborative thinking
- Significant new functionality warrants minor version bump
BREAKING CHANGE: Python 3.8 and 3.9 are no longer supported
- MCP package requires Python >=3.10 (all versions from 0.9.1 to 1.9.3)
- Update setup.py to require Python >=3.10
- Update GitHub Actions to only test Python 3.10, 3.11, and 3.12
- Update README.md with correct Python version requirement
- Remove typing-extensions dependency (not needed for Python 3.10+)
- Remove Python 3.8/3.9 from classifiers
This resolves all GitHub Actions failures for Python 3.8/3.9 tests.
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Co-Authored-By: Claude <noreply@anthropic.com>
- Fix incorrect os.sys.version_info to sys.version_info
- Add missing sys import
- Update setup.py version to match __version__
- Fix author name consistency (Fahad Gilani)
- Add typing-extensions for Python <3.10 compatibility
- Apply black formatting to fix whitespace issues
- Add debug workflow to help diagnose CI failures
This should resolve the failing tests on Python 3.8 and 3.9.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Add proper cross-platform path handling with Path.resolve()
- Fix file encoding issues by explicitly using UTF-8
- Correct mock paths to use google.generativeai instead of gemini_server.genai
- Create setup.py for proper package installation in CI
- Add conftest.py with Windows asyncio compatibility
- Update CI workflow to install package with pip install -e .
- Add import tests to verify package installation
- Set PYTHONPATH in test environment
- Simplify import mechanism in tests
These changes ensure tests pass consistently across Windows, Ubuntu, and macOS platforms.
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Co-Authored-By: Claude <noreply@anthropic.com>
