mirror of https://github.com/arc53/DocsGPT
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70 lines
2.9 KiB
Python
70 lines
2.9 KiB
Python
from pathlib import Path
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from typing import Optional
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import os
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from pydantic_settings import BaseSettings
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current_dir = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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class Settings(BaseSettings):
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LLM_NAME: str = "docsgpt"
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MODEL_NAME: Optional[str] = None # if LLM_NAME is openai, MODEL_NAME can be gpt-4 or gpt-3.5-turbo
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EMBEDDINGS_NAME: str = "huggingface_sentence-transformers/all-mpnet-base-v2"
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CELERY_BROKER_URL: str = "redis://localhost:6379/0"
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CELERY_RESULT_BACKEND: str = "redis://localhost:6379/1"
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MONGO_URI: str = "mongodb://localhost:27017/docsgpt"
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MODEL_PATH: str = os.path.join(current_dir, "models/docsgpt-7b-f16.gguf")
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TOKENS_MAX_HISTORY: int = 150
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UPLOAD_FOLDER: str = "inputs"
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VECTOR_STORE: str = "faiss" # "faiss" or "elasticsearch" or "qdrant"
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RETRIEVERS_ENABLED: list = ["classic_rag", "duckduck_search"] # also brave_search
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API_URL: str = "http://localhost:7091" # backend url for celery worker
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API_KEY: Optional[str] = None # LLM api key
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EMBEDDINGS_KEY: Optional[str] = None # api key for embeddings (if using openai, just copy API_KEY)
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OPENAI_API_BASE: Optional[str] = None # azure openai api base url
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OPENAI_API_VERSION: Optional[str] = None # azure openai api version
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AZURE_DEPLOYMENT_NAME: Optional[str] = None # azure deployment name for answering
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AZURE_EMBEDDINGS_DEPLOYMENT_NAME: Optional[str] = None # azure deployment name for embeddings
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# elasticsearch
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ELASTIC_CLOUD_ID: Optional[str] = None # cloud id for elasticsearch
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ELASTIC_USERNAME: Optional[str] = None # username for elasticsearch
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ELASTIC_PASSWORD: Optional[str] = None # password for elasticsearch
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ELASTIC_URL: Optional[str] = None # url for elasticsearch
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ELASTIC_INDEX: Optional[str] = "docsgpt" # index name for elasticsearch
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# SageMaker config
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SAGEMAKER_ENDPOINT: Optional[str] = None # SageMaker endpoint name
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SAGEMAKER_REGION: Optional[str] = None # SageMaker region name
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SAGEMAKER_ACCESS_KEY: Optional[str] = None # SageMaker access key
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SAGEMAKER_SECRET_KEY: Optional[str] = None # SageMaker secret key
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# prem ai project id
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PREMAI_PROJECT_ID: Optional[str] = None
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# Qdrant vectorstore config
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QDRANT_COLLECTION_NAME: Optional[str] = "docsgpt"
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QDRANT_LOCATION: Optional[str] = None
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QDRANT_URL: Optional[str] = None
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QDRANT_PORT: Optional[int] = 6333
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QDRANT_GRPC_PORT: int = 6334
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QDRANT_PREFER_GRPC: bool = False
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QDRANT_HTTPS: Optional[bool] = None
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QDRANT_API_KEY: Optional[str] = None
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QDRANT_PREFIX: Optional[str] = None
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QDRANT_TIMEOUT: Optional[float] = None
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QDRANT_HOST: Optional[str] = None
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QDRANT_PATH: Optional[str] = None
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QDRANT_DISTANCE_FUNC: str = "Cosine"
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BRAVE_SEARCH_API_KEY: Optional[str] = None
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FLASK_DEBUG_MODE: bool = False
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path = Path(__file__).parent.parent.absolute()
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settings = Settings(_env_file=path.joinpath(".env"), _env_file_encoding="utf-8")
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