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from pydantic import BaseModel
from pydantic_settings import BaseSettings, SettingsConfigDict
class QdrantDatabase(BaseModel):
url: str
api_key: str
embedding_dim: int = 512
model: str = "sentence-transformers/distiluse-base-multilingual-cased-v1"
class LlmProvider(BaseModel):
model: str
api_key: str
class Settings(BaseSettings):
qdrant_database: QdrantDatabase
llm_provider: LlmProvider
model_config = SettingsConfigDict(
case_sensitive=False, env_nested_delimiter="__", env_file=".env"
)
settings = Settings()
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