from typing import Literal
from pydantic_settings import BaseSettings, SettingsConfigDict
class Settings(BaseSettings):
# Ollama host — override with OLLAMA_URL env var or .env file
ollama_url: str = "http://localhost:11434"
# LLM model passed to Agno/Ollama — override with OLLAMA_MODEL
ollama_model: str = "llama3.2"
# Set DEBUG=true to enable /docs and /redoc (disabled by default)
debug: bool = False
# Telegram bot token — set via TELEGRAM_TOKEN env var or the /telegram/setup endpoint
telegram_token: str = ""
# ── AirLLM / backend selection ───────────────────────────────────────────
# "ollama" — always use Ollama (default, safe everywhere)
# "airllm" — always use AirLLM (requires pip install ".[bigbrain]")
# "auto" — use AirLLM on Apple Silicon if airllm is installed,
# fall back to Ollama otherwise
timmy_model_backend: Literal["ollama", "airllm", "auto"] = "ollama"
# AirLLM model size when backend is airllm or auto.
# Larger = smarter, but needs more RAM / disk.
# 8b ~16 GB | 70b ~140 GB | 405b ~810 GB
airllm_model_size: Literal["8b", "70b", "405b"] = "70b"
model_config = SettingsConfigDict(
env_file=".env",
env_file_encoding="utf-8",
extra="ignore",
)
settings = Settings()