from pydantic_settings import BaseSettings, SettingsConfigDict


class Settings(BaseSettings):
    model_config = SettingsConfigDict(env_file=".env", extra="ignore")

    database_url: str
    ollama_base_url: str
    session_secret: str
    port: int = 7777

    # LLM tiers — CPU-only remote Ollama, so the fast tier must stay small.
    ollama_fast_model: str = "granite4.1:3b"
    ollama_chat_model: str = "minicpm-v4.5:latest"
    llm_max_concurrency: int = 2
    llm_max_queue_depth: int = 8
    llm_cooldown_seconds: float = 8.0  # min gap between ambient whispers

    # TTS
    piper_voices_dir: str = "voices"

    # Where synthesized utterance audio is written (served at /audio/).
    data_dir: str = "data"


settings = Settings()