Ludus FastMCP

"""Configuration management using Pydantic Settings.""" import os from pathlib import Path from pydantic_settings import BaseSettings, SettingsConfigDict def _get_env_files() -> tuple[str, ...]: """Get list of .env files to load, in order of priority (later overrides earlier).""" env_files = [] # 1. User's home config directory (lowest priority) home_env = Path.home() / ".ludus-fastmcp" / ".env" if home_env.exists(): env_files.append(str(home_env)) # 2. Current working directory (highest priority) cwd_env = Path.cwd() / ".env" if cwd_env.exists(): env_files.append(str(cwd_env)) return tuple(env_files) if env_files else (".env",) def _load_env_files_to_environ(): """Manually load .env files into os.environ to ensure they're available. This is needed because pydantic-settings evaluates env_file at class definition time, but the MCP server may be started from different directories. """ from dotenv import dotenv_values # Load from home config first (lower priority) home_env = Path.home() / ".ludus-fastmcp" / ".env" if home_env.exists(): values = dotenv_values(home_env) for key, value in values.items(): if key not in os.environ and value is not None: os.environ[key] = value # Load from cwd (higher priority, will override) cwd_env = Path.cwd() / ".env" if cwd_env.exists(): values = dotenv_values(cwd_env) for key, value in values.items(): if key not in os.environ and value is not None: os.environ[key] = value class Settings(BaseSettings): """Application settings loaded from environment variables.""" model_config = SettingsConfigDict( env_file=_get_env_files(), env_file_encoding="utf-8", case_sensitive=False, extra="ignore", ) # Ludus API Configuration ludus_api_url: str = "http://localhost:8080" ludus_api_key: str = "" ludus_ssl_verify: bool = False # Default False for self-signed certs in lab environments # LLM Configuration (supports multiple providers) llm_provider_type: str = "llama-cpp" # llama-cpp, gpt4all, openai, anthropic, google, ollama llm_api_key: str = "" # For cloud providers (OpenAI, Anthropic, Google) llm_model_path: str = "" # For local models (llama-cpp, gpt4all) llm_model: str = "" # Model name (e.g., "gpt-4o", "claude-3-5-sonnet-20241022", "gemini-pro", "mistral") llm_context_size: int = 4096 # For local models llm_temperature: float = 0.7 llm_max_tokens: int = 2048 llm_ollama_base_url: str = "http://localhost:11434" # For Ollama # MCP Server Configuration mcp_server_name: str = "ludus-fastmcp" mcp_server_version: str = "1.0.0" # Logging log_level: str = "INFO" _settings: Settings | None = None def get_settings() -> Settings: """Get or create the global settings instance.""" global _settings if _settings is None: # Load .env files into environment before creating settings _load_env_files_to_environ() _settings = Settings() return _settings