MCP Business AI Transformation

from pydantic_settings import BaseSettings from typing import List class Settings(BaseSettings): """Application configuration for MCP server""" # App Configuration app_name: str = "MCP Business AI Server" app_version: str = "1.0.0" debug: bool = False # Server Configuration host: str = "0.0.0.0" port: int = 8000 workers: int = 1 # Database & Cache # Эти значения перекрываются переменными окружения: # DATABASE_URL, REDIS_URL database_url: str = "postgresql+asyncpg://postgres:password@localhost:5432/mcp_db" redis_url: str = "redis://localhost:6379" # Security / Auth # SECRET_KEY переопределяется переменной окружения SECRET_KEY secret_key: str = "your-secret-key-change-in-production" algorithm: str = "HS256" access_token_expire_minutes: int = 60 # Rate limiting rate_limit_requests: int = 100 rate_limit_window: int = 60 # seconds # Agent Configuration max_concurrent_agents: int = 10 agent_timeout: int = 300 # seconds # Business Logic supported_business_domains: List[str] = [ "finance", "healthcare", "retail", "manufacturing", "technology", ] # External Go business engine # Перекрывается переменной окружения GO_BIZ_ENGINE_URL, GO_BIZ_ENGINE_TIMEOUT go_biz_engine_url: str = "http://localhost:8080" go_biz_engine_timeout: int = 10 # seconds class Config: env_file = ".env" case_sensitive = False settings = Settings()