SAGE-MCP

""" Central configuration for SAGE MCP All settings in one place """ import os from pathlib import Path class Config: """Central configuration manager""" # Project paths PROJECT_ROOT = Path(__file__).parent LOGS_DIR = PROJECT_ROOT / "logs" # Ensure directories exist LOGS_DIR.mkdir(exist_ok=True) # Model configurations DEFAULT_MODEL = os.getenv("DEFAULT_MODEL", "auto") # Temperature settings per mode TEMPERATURES = { "chat": 0.7, # Creative discussion "analyze": 0.3, # Analytical precision "review": 0.3, # Methodical review "debug": 0.2, # Precise debugging "plan": 0.5, # Balanced planning "test": 0.4, # Test generation "refactor": 0.4, # Code improvement "think": 0.8, # Creative thinking } # Token limits (model-specific context windows) MAX_TOKENS = { "gemini-2.5-pro": 2_000_000, "gemini-2.5-flash": 1_000_000, "gemini-1.5-pro": 2_000_000, "gemini-1.5-flash": 1_000_000, "gpt-4o": 128_000, "gpt-4o-mini": 128_000, "o1": 200_000, "o1-mini": 128_000, "o3-mini": 200_000, "claude-3.5-sonnet": 200_000, "default": 100_000, } # MCP protocol limits MCP_PROMPT_SIZE_LIMIT = int(os.getenv("MCP_PROMPT_SIZE_LIMIT", "50000")) # 50K chars for MCP transport # Conversation settings MAX_CONVERSATION_TURNS = int(os.getenv("MAX_CONVERSATION_TURNS", "20")) CONVERSATION_TIMEOUT_HOURS = int(os.getenv("CONVERSATION_TIMEOUT_HOURS", "3")) # Model restrictions for cost/security control @classmethod def get_model_restrictions(cls) -> dict: """Get model restriction patterns""" return { "openai_allowed": ( os.getenv("OPENAI_ALLOWED_MODELS", "").split(",") if os.getenv("OPENAI_ALLOWED_MODELS") else [] ), "google_allowed": ( os.getenv("GOOGLE_ALLOWED_MODELS", "").split(",") if os.getenv("GOOGLE_ALLOWED_MODELS") else [] ), "anthropic_allowed": ( os.getenv("ANTHROPIC_ALLOWED_MODELS", "").split(",") if os.getenv("ANTHROPIC_ALLOWED_MODELS") else [] ), "blocked_models": os.getenv("BLOCKED_MODELS", "").split(",") if os.getenv("BLOCKED_MODELS") else [], "disabled_patterns": ( os.getenv("DISABLED_MODEL_PATTERNS", "").split(",") if os.getenv("DISABLED_MODEL_PATTERNS") else [] ), } # Mode descriptions for help MODE_DESCRIPTIONS = { "chat": "General development discussion and Q&A", "analyze": "Code and architecture analysis", "review": "Code review for bugs, security, and quality", "debug": "Debug issues and find root causes", "plan": "Project planning and task breakdown", "test": "Generate comprehensive tests", "refactor": "Suggest code improvements", "think": "Deep reasoning for complex problems", } # Provider API keys (from environment) @classmethod def get_api_keys(cls) -> dict: """Get all configured API keys""" return { "gemini": os.getenv("GEMINI_API_KEY") or os.getenv("GOOGLE_API_KEY"), "openai": os.getenv("OPENAI_API_KEY"), "anthropic": os.getenv("ANTHROPIC_API_KEY"), "openrouter": os.getenv("OPENROUTER_API_KEY"), "deepseek": os.getenv("DEEPSEEK_API_KEY"), "custom_url": os.getenv("CUSTOM_API_URL"), "custom_key": os.getenv("CUSTOM_API_KEY"), "xai": os.getenv("XAI_API_KEY"), } # File handling settings MAX_FILE_SIZE = int(os.getenv("MAX_FILE_SIZE", "10000000")) # 10MB default # Security settings ALLOWED_FILE_EXTENSIONS = { ".py", ".js", ".ts", ".jsx", ".tsx", ".java", ".c", ".cpp", ".h", ".cs", ".rb", ".go", ".rs", ".swift", ".kt", ".php", ".sql", ".html", ".css", ".scss", ".json", ".xml", ".yaml", ".yml", ".md", ".txt", ".log", ".conf", ".ini", ".toml", ".env", ".csv", ".sh", ".bash", ".zsh", ".fish", ".ps1", ".bat", ".cmd", ".png", ".jpg", ".jpeg", ".gif", ".webp", ".svg", # Image support } EXCLUDED_DIRS = { "__pycache__", ".git", ".svn", ".hg", "node_modules", ".venv", "venv", ".env", "dist", "build", ".pytest_cache", ".mypy_cache", ".tox", "coverage_html_report", } # Redis configuration for conversation memory REDIS_URL = os.getenv("REDIS_URL", "redis://localhost:6379") REDIS_DB = int(os.getenv("REDIS_DB", "0"))