783ba73181
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 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
44 lines
2.0 KiB
Python
44 lines
2.0 KiB
Python
"""
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Configuration and constants for Gemini MCP Server
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This module centralizes all configuration settings for the Gemini MCP Server.
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It defines model configurations, token limits, temperature defaults, and other
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constants used throughout the application.
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Configuration values can be overridden by environment variables where appropriate.
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"""
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# Version and metadata
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# These values are used in server responses and for tracking releases
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__version__ = "2.8.0" # Semantic versioning: MAJOR.MINOR.PATCH
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__updated__ = "2025-09-09" # Last update date in ISO format
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__author__ = "Fahad Gilani" # Primary maintainer
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# Model configuration
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# GEMINI_MODEL: The Gemini model used for all AI operations
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# This should be a stable, high-performance model suitable for code analysis
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GEMINI_MODEL = "gemini-2.5-pro-preview-06-05"
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# MAX_CONTEXT_TOKENS: Maximum number of tokens that can be included in a single request
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# This limit includes both the prompt and expected response
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# Gemini Pro models support up to 1M tokens, but practical usage should reserve
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# space for the model's response (typically 50K-100K tokens reserved)
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MAX_CONTEXT_TOKENS = 1_000_000 # 1M tokens for Gemini Pro
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# Temperature defaults for different tool types
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# Temperature controls the randomness/creativity of model responses
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# Lower values (0.0-0.3) produce more deterministic, focused responses
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# Higher values (0.7-1.0) produce more creative, varied responses
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# TEMPERATURE_ANALYTICAL: Used for tasks requiring precision and consistency
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# Ideal for code review, debugging, and error analysis where accuracy is critical
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TEMPERATURE_ANALYTICAL = 0.2 # For code review, debugging
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# TEMPERATURE_BALANCED: Middle ground for general conversations
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# Provides a good balance between consistency and helpful variety
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TEMPERATURE_BALANCED = 0.5 # For general chat
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# TEMPERATURE_CREATIVE: Higher temperature for exploratory tasks
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# Used when brainstorming, exploring alternatives, or architectural discussions
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TEMPERATURE_CREATIVE = 0.7 # For architecture, deep thinking
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