40 lines
1.4 KiB
Python
40 lines
1.4 KiB
Python
from dataclasses import dataclass
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import os
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from pathlib import Path
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from dotenv import load_dotenv
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@dataclass(frozen=True, slots=True)
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class Settings:
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port: int
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api_key: str | None
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base_url: str
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model: str
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default_system_prompt: str
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data_dir: Path
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user_db_path: Path
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max_tool_rounds: int = 5
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max_tool_calls_per_turn: int = 10
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tool_timeout_seconds: float = 5.0
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@classmethod
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def from_env(cls) -> "Settings":
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load_dotenv(dotenv_path=Path.cwd() / ".env", override=False)
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data_dir = Path(os.getenv("CHAT_DATA_DIR", "data"))
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return cls(
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port=int(os.getenv("SERVICE_PORT", "8000")),
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api_key=os.getenv("DEEPSEEK_API_KEY"),
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base_url=os.getenv("DEEPSEEK_BASE_URL", "https://api.deepseek.com"),
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model=os.getenv("DEEPSEEK_MODEL", "deepseek-v4-flash"),
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default_system_prompt=os.getenv(
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"DEFAULT_SYSTEM_PROMPT", "You are a helpful assistant."
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),
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data_dir=data_dir,
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user_db_path=Path(os.getenv("USER_DB_PATH", str(data_dir / "users.db"))),
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max_tool_rounds=int(os.getenv("MAX_TOOL_ROUNDS", "5")),
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max_tool_calls_per_turn=int(
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os.getenv("MAX_TOOL_CALLS_PER_TURN", "10")
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),
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tool_timeout_seconds=float(os.getenv("TOOL_TIMEOUT_SECONDS", "5")),
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) |