24 lines
842 B
Python
24 lines
842 B
Python
from __future__ import annotations
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import os
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from dataclasses import dataclass
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@dataclass(frozen=True)
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class Settings:
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ollama_host: str = os.getenv("OLLAMA_HOST", "http://localhost:11434")
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base_model: str = os.getenv("BASE_MODEL", "qwen2.5:7b-instruct")
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boost_model: str = os.getenv("BOOST_MODEL", "qwen2.5:14b-instruct")
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english_model: str = os.getenv("ENGLISH_MODEL", "llama3:8b-instruct")
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english_ratio_threshold: float = float(os.getenv("ENGLISH_RATIO_THRESHOLD", "0.65"))
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embedding_model: str = os.getenv("EMBEDDING_MODEL", "nomic-embed-text")
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index_path: str = os.getenv("INDEX_PATH", "data/index.jsonl")
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# Paperless (user will provide API details)
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paperless_base_url: str = os.getenv("PAPERLESS_BASE_URL", "")
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paperless_token: str = os.getenv("PAPERLESS_TOKEN", "")
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settings = Settings()
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