mirror of
https://github.com/Mintplex-Labs/anything-llm.git
synced 2024-11-19 04:30:10 +01:00
298 lines
9.7 KiB
Plaintext
298 lines
9.7 KiB
Plaintext
SERVER_PORT=3001
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STORAGE_DIR="/app/server/storage"
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UID='1000'
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GID='1000'
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# SIG_KEY='passphrase' # Please generate random string at least 32 chars long.
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# SIG_SALT='salt' # Please generate random string at least 32 chars long.
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# JWT_SECRET="my-random-string-for-seeding" # Only needed if AUTH_TOKEN is set. Please generate random string at least 12 chars long.
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###########################################
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######## LLM API SElECTION ################
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###########################################
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# LLM_PROVIDER='openai'
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# OPEN_AI_KEY=
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# OPEN_MODEL_PREF='gpt-4o'
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# LLM_PROVIDER='gemini'
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# GEMINI_API_KEY=
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# GEMINI_LLM_MODEL_PREF='gemini-pro'
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# LLM_PROVIDER='azure'
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# AZURE_OPENAI_ENDPOINT=
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# AZURE_OPENAI_KEY=
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# OPEN_MODEL_PREF='my-gpt35-deployment' # This is the "deployment" on Azure you want to use. Not the base model.
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# EMBEDDING_MODEL_PREF='embedder-model' # This is the "deployment" on Azure you want to use for embeddings. Not the base model. Valid base model is text-embedding-ada-002
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# LLM_PROVIDER='anthropic'
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# ANTHROPIC_API_KEY=sk-ant-xxxx
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# ANTHROPIC_MODEL_PREF='claude-2'
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# LLM_PROVIDER='lmstudio'
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# LMSTUDIO_BASE_PATH='http://your-server:1234/v1'
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# LMSTUDIO_MODEL_PREF='Loaded from Chat UI' # this is a bug in LMStudio 0.2.17
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# LMSTUDIO_MODEL_TOKEN_LIMIT=4096
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# LLM_PROVIDER='localai'
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# LOCAL_AI_BASE_PATH='http://host.docker.internal:8080/v1'
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# LOCAL_AI_MODEL_PREF='luna-ai-llama2'
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# LOCAL_AI_MODEL_TOKEN_LIMIT=4096
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# LOCAL_AI_API_KEY="sk-123abc"
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# LLM_PROVIDER='ollama'
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# OLLAMA_BASE_PATH='http://host.docker.internal:11434'
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# OLLAMA_MODEL_PREF='llama2'
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# OLLAMA_MODEL_TOKEN_LIMIT=4096
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# LLM_PROVIDER='togetherai'
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# TOGETHER_AI_API_KEY='my-together-ai-key'
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# TOGETHER_AI_MODEL_PREF='mistralai/Mixtral-8x7B-Instruct-v0.1'
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# LLM_PROVIDER='mistral'
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# MISTRAL_API_KEY='example-mistral-ai-api-key'
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# MISTRAL_MODEL_PREF='mistral-tiny'
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# LLM_PROVIDER='perplexity'
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# PERPLEXITY_API_KEY='my-perplexity-key'
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# PERPLEXITY_MODEL_PREF='codellama-34b-instruct'
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# LLM_PROVIDER='openrouter'
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# OPENROUTER_API_KEY='my-openrouter-key'
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# OPENROUTER_MODEL_PREF='openrouter/auto'
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# LLM_PROVIDER='huggingface'
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# HUGGING_FACE_LLM_ENDPOINT=https://uuid-here.us-east-1.aws.endpoints.huggingface.cloud
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# HUGGING_FACE_LLM_API_KEY=hf_xxxxxx
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# HUGGING_FACE_LLM_TOKEN_LIMIT=8000
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# LLM_PROVIDER='groq'
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# GROQ_API_KEY=gsk_abcxyz
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# GROQ_MODEL_PREF=llama3-8b-8192
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# LLM_PROVIDER='koboldcpp'
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# KOBOLD_CPP_BASE_PATH='http://127.0.0.1:5000/v1'
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# KOBOLD_CPP_MODEL_PREF='koboldcpp/codellama-7b-instruct.Q4_K_S'
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# KOBOLD_CPP_MODEL_TOKEN_LIMIT=4096
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# LLM_PROVIDER='textgenwebui'
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# TEXT_GEN_WEB_UI_BASE_PATH='http://127.0.0.1:5000/v1'
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# TEXT_GEN_WEB_UI_TOKEN_LIMIT=4096
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# TEXT_GEN_WEB_UI_API_KEY='sk-123abc'
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# LLM_PROVIDER='generic-openai'
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# GENERIC_OPEN_AI_BASE_PATH='http://proxy.url.openai.com/v1'
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# GENERIC_OPEN_AI_MODEL_PREF='gpt-3.5-turbo'
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# GENERIC_OPEN_AI_MODEL_TOKEN_LIMIT=4096
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# GENERIC_OPEN_AI_API_KEY=sk-123abc
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# LLM_PROVIDER='litellm'
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# LITE_LLM_MODEL_PREF='gpt-3.5-turbo'
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# LITE_LLM_MODEL_TOKEN_LIMIT=4096
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# LITE_LLM_BASE_PATH='http://127.0.0.1:4000'
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# LITE_LLM_API_KEY='sk-123abc'
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# LLM_PROVIDER='cohere'
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# COHERE_API_KEY=
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# COHERE_MODEL_PREF='command-r'
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# LLM_PROVIDER='bedrock'
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# AWS_BEDROCK_LLM_ACCESS_KEY_ID=
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# AWS_BEDROCK_LLM_ACCESS_KEY=
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# AWS_BEDROCK_LLM_REGION=us-west-2
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# AWS_BEDROCK_LLM_MODEL_PREFERENCE=meta.llama3-1-8b-instruct-v1:0
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# AWS_BEDROCK_LLM_MODEL_TOKEN_LIMIT=8191
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# LLM_PROVIDER='fireworksai'
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# FIREWORKS_AI_LLM_API_KEY='my-fireworks-ai-key'
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# FIREWORKS_AI_LLM_MODEL_PREF='accounts/fireworks/models/llama-v3p1-8b-instruct'
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# LLM_PROVIDER='apipie'
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# APIPIE_LLM_API_KEY='sk-123abc'
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# APIPIE_LLM_MODEL_PREF='openrouter/llama-3.1-8b-instruct'
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# LLM_PROVIDER='xai'
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# XAI_LLM_API_KEY='xai-your-api-key-here'
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# XAI_LLM_MODEL_PREF='grok-beta'
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###########################################
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######## Embedding API SElECTION ##########
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###########################################
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# Only used if you are using an LLM that does not natively support embedding (openai or Azure)
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# EMBEDDING_ENGINE='openai'
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# OPEN_AI_KEY=sk-xxxx
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# EMBEDDING_MODEL_PREF='text-embedding-ada-002'
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# EMBEDDING_ENGINE='azure'
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# AZURE_OPENAI_ENDPOINT=
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# AZURE_OPENAI_KEY=
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# EMBEDDING_MODEL_PREF='my-embedder-model' # This is the "deployment" on Azure you want to use for embeddings. Not the base model. Valid base model is text-embedding-ada-002
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# EMBEDDING_ENGINE='localai'
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# EMBEDDING_BASE_PATH='http://localhost:8080/v1'
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# EMBEDDING_MODEL_PREF='text-embedding-ada-002'
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# EMBEDDING_MODEL_MAX_CHUNK_LENGTH=1000 # The max chunk size in chars a string to embed can be
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# EMBEDDING_ENGINE='ollama'
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# EMBEDDING_BASE_PATH='http://host.docker.internal:11434'
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# EMBEDDING_MODEL_PREF='nomic-embed-text:latest'
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# EMBEDDING_MODEL_MAX_CHUNK_LENGTH=8192
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# EMBEDDING_ENGINE='lmstudio'
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# EMBEDDING_BASE_PATH='https://host.docker.internal:1234/v1'
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# EMBEDDING_MODEL_PREF='nomic-ai/nomic-embed-text-v1.5-GGUF/nomic-embed-text-v1.5.Q4_0.gguf'
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# EMBEDDING_MODEL_MAX_CHUNK_LENGTH=8192
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# EMBEDDING_ENGINE='cohere'
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# COHERE_API_KEY=
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# EMBEDDING_MODEL_PREF='embed-english-v3.0'
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# EMBEDDING_ENGINE='voyageai'
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# VOYAGEAI_API_KEY=
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# EMBEDDING_MODEL_PREF='voyage-large-2-instruct'
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# EMBEDDING_ENGINE='litellm'
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# EMBEDDING_MODEL_PREF='text-embedding-ada-002'
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# EMBEDDING_MODEL_MAX_CHUNK_LENGTH=8192
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# LITE_LLM_BASE_PATH='http://127.0.0.1:4000'
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# LITE_LLM_API_KEY='sk-123abc'
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# EMBEDDING_ENGINE='generic-openai'
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# EMBEDDING_MODEL_PREF='text-embedding-ada-002'
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# EMBEDDING_MODEL_MAX_CHUNK_LENGTH=8192
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# EMBEDDING_BASE_PATH='http://127.0.0.1:4000'
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# GENERIC_OPEN_AI_EMBEDDING_API_KEY='sk-123abc'
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###########################################
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######## Vector Database Selection ########
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###########################################
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# Enable all below if you are using vector database: Chroma.
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# VECTOR_DB="chroma"
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# CHROMA_ENDPOINT='http://host.docker.internal:8000'
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# CHROMA_API_HEADER="X-Api-Key"
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# CHROMA_API_KEY="sk-123abc"
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# Enable all below if you are using vector database: Pinecone.
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# VECTOR_DB="pinecone"
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# PINECONE_API_KEY=
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# PINECONE_INDEX=
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# Enable all below if you are using vector database: LanceDB.
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# VECTOR_DB="lancedb"
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# Enable all below if you are using vector database: Weaviate.
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# VECTOR_DB="weaviate"
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# WEAVIATE_ENDPOINT="http://localhost:8080"
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# WEAVIATE_API_KEY=
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# Enable all below if you are using vector database: Qdrant.
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# VECTOR_DB="qdrant"
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# QDRANT_ENDPOINT="http://localhost:6333"
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# QDRANT_API_KEY=
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# Enable all below if you are using vector database: Milvus.
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# VECTOR_DB="milvus"
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# MILVUS_ADDRESS="http://localhost:19530"
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# MILVUS_USERNAME=
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# MILVUS_PASSWORD=
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# Enable all below if you are using vector database: Zilliz Cloud.
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# VECTOR_DB="zilliz"
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# ZILLIZ_ENDPOINT="https://sample.api.gcp-us-west1.zillizcloud.com"
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# ZILLIZ_API_TOKEN=api-token-here
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# Enable all below if you are using vector database: Astra DB.
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# VECTOR_DB="astra"
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# ASTRA_DB_APPLICATION_TOKEN=
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# ASTRA_DB_ENDPOINT=
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###########################################
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######## Audio Model Selection ############
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###########################################
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# (default) use built-in whisper-small model.
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# WHISPER_PROVIDER="local"
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# use openai hosted whisper model.
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# WHISPER_PROVIDER="openai"
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# OPEN_AI_KEY=sk-xxxxxxxx
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###########################################
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######## TTS/STT Model Selection ##########
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###########################################
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# TTS_PROVIDER="native"
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# TTS_PROVIDER="openai"
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# TTS_OPEN_AI_KEY=sk-example
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# TTS_OPEN_AI_VOICE_MODEL=nova
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# TTS_PROVIDER="generic-openai"
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# TTS_OPEN_AI_COMPATIBLE_KEY=sk-example
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# TTS_OPEN_AI_COMPATIBLE_VOICE_MODEL=nova
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# TTS_OPEN_AI_COMPATIBLE_ENDPOINT="https://api.openai.com/v1"
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# TTS_PROVIDER="elevenlabs"
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# TTS_ELEVEN_LABS_KEY=
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# TTS_ELEVEN_LABS_VOICE_MODEL=21m00Tcm4TlvDq8ikWAM # Rachel
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# CLOUD DEPLOYMENT VARIRABLES ONLY
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# AUTH_TOKEN="hunter2" # This is the password to your application if remote hosting.
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# DISABLE_TELEMETRY="false"
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###########################################
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######## PASSWORD COMPLEXITY ##############
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###########################################
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# Enforce a password schema for your organization users.
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# Documentation on how to use https://github.com/kamronbatman/joi-password-complexity
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# Default is only 8 char minimum
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# PASSWORDMINCHAR=8
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# PASSWORDMAXCHAR=250
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# PASSWORDLOWERCASE=1
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# PASSWORDUPPERCASE=1
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# PASSWORDNUMERIC=1
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# PASSWORDSYMBOL=1
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# PASSWORDREQUIREMENTS=4
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###########################################
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######## ENABLE HTTPS SERVER ##############
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###########################################
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# By enabling this and providing the path/filename for the key and cert,
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# the server will use HTTPS instead of HTTP.
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#ENABLE_HTTPS="true"
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#HTTPS_CERT_PATH="sslcert/cert.pem"
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#HTTPS_KEY_PATH="sslcert/key.pem"
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###########################################
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######## AGENT SERVICE KEYS ###############
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###########################################
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#------ SEARCH ENGINES -------
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#=============================
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#------ Google Search -------- https://programmablesearchengine.google.com/controlpanel/create
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# AGENT_GSE_KEY=
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# AGENT_GSE_CTX=
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#------ SearchApi.io ----------- https://www.searchapi.io/
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# AGENT_SEARCHAPI_API_KEY=
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# AGENT_SEARCHAPI_ENGINE=google
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#------ Serper.dev ----------- https://serper.dev/
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# AGENT_SERPER_DEV_KEY=
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#------ Bing Search ----------- https://portal.azure.com/
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# AGENT_BING_SEARCH_API_KEY=
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#------ Serply.io ----------- https://serply.io/
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# AGENT_SERPLY_API_KEY=
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#------ SearXNG ----------- https://github.com/searxng/searxng
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# AGENT_SEARXNG_API_URL=
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###########################################
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######## Other Configurations ############
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###########################################
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# Disable viewing chat history from the UI and frontend APIs.
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# See https://docs.anythingllm.com/configuration#disable-view-chat-history for more information.
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# DISABLE_VIEW_CHAT_HISTORY=1
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# Enable simple SSO passthrough to pre-authenticate users from a third party service.
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# See https://docs.anythingllm.com/configuration#simple-sso-passthrough for more information.
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# SIMPLE_SSO_ENABLED=1 |