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.env
329
.env
@ -1 +1,328 @@
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# Template
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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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
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OPEN_MODEL_PREF='gpt-4o-mini'
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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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# OLLAMA_AUTH_TOKEN='your-ollama-auth-token-here (optional, only for ollama running behind auth - Bearer token)'
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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='novita'
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# NOVITA_LLM_API_KEY='your-novita-api-key-here' check on https://novita.ai/settings/key-management
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# NOVITA_LLM_MODEL_PREF='deepseek/deepseek-r1'
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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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# LLM_PROVIDER='nvidia-nim'
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# NVIDIA_NIM_LLM_BASE_PATH='http://127.0.0.1:8000'
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# NVIDIA_NIM_LLM_MODEL_PREF='meta/llama-3.2-3b-instruct'
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# LLM_PROVIDER='deepseek'
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# DEEPSEEK_API_KEY='your-deepseek-api-key-here'
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# DEEPSEEK_MODEL_PREF='deepseek-chat'
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# LLM_PROVIDER='ppio'
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# PPIO_API_KEY='your-ppio-api-key-here'
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# PPIO_MODEL_PREF=deepseek/deepseek-v3/community
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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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# GENERIC_OPEN_AI_EMBEDDING_MAX_CONCURRENT_CHUNKS=500
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# EMBEDDING_ENGINE='gemini'
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# GEMINI_EMBEDDING_API_KEY=
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# EMBEDDING_MODEL_PREF='text-embedding-004'
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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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||||
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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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||||
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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=
|
||||
|
||||
#------ Tavily ----------- https://www.tavily.com/
|
||||
# AGENT_TAVILY_API_KEY=
|
||||
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||||
###########################################
|
||||
######## Other Configurations ############
|
||||
###########################################
|
||||
|
||||
# Disable viewing chat history from the UI and frontend APIs.
|
||||
# See https://docs.anythingllm.com/configuration#disable-view-chat-history for more information.
|
||||
# DISABLE_VIEW_CHAT_HISTORY=1
|
||||
|
||||
# Enable simple SSO passthrough to pre-authenticate users from a third party service.
|
||||
# See https://docs.anythingllm.com/configuration#simple-sso-passthrough for more information.
|
||||
# SIMPLE_SSO_ENABLED=1
|
||||
|
||||
# Specify the target languages for when using OCR to parse images and PDFs.
|
||||
# This is a comma separated list of language codes as a string. Unsupported languages will be ignored.
|
||||
# Default is English. See https://tesseract-ocr.github.io/tessdoc/Data-Files-in-different-versions.html for a list of valid language codes.
|
||||
# TARGET_OCR_LANG=eng,deu,ita,spa,fra,por,rus,nld,tur,hun,pol,ita,spa,fra,por,rus,nld,tur,hun,pol
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||||
12
README.md
12
README.md
@ -27,6 +27,18 @@ Modification des labels pour traefik
|
||||
nano docker-compose.yml
|
||||
~~~
|
||||
|
||||
~~~bash
|
||||
export STORAGE_LOCATION=$HOME/anythingllm && \
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||||
mkdir -p $STORAGE_LOCATION && \
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||||
touch "$STORAGE_LOCATION/.env" && \
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||||
docker run -d -p 3001:3001 \
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||||
--cap-add SYS_ADMIN \
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||||
-v ${STORAGE_LOCATION}:/app/server/storage \
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||||
-v ${STORAGE_LOCATION}/.env:/app/server/.env \
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||||
-e STORAGE_DIR="/app/server/storage" \
|
||||
mintplexlabs/anythingllm
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||||
~~~
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||||
|
||||
## Lancement
|
||||
|
||||
~~~bash
|
||||
|
||||
@ -2,41 +2,65 @@
|
||||
networks:
|
||||
traefik_front_network:
|
||||
external: true
|
||||
back_network_:
|
||||
back_network_anythingllm:
|
||||
driver: bridge
|
||||
attachable: true
|
||||
|
||||
#### SERVICES
|
||||
services:
|
||||
### hello_world
|
||||
hello_world:
|
||||
container_name: gitea-app
|
||||
hostname: gitea-app
|
||||
image: hello-world
|
||||
environment:
|
||||
restart: always
|
||||
anythingllm:
|
||||
image: mintplexlabs/anythingllm
|
||||
container_name: anythingllm
|
||||
ports:
|
||||
- "3001:3001"
|
||||
networks:
|
||||
# - back_network_gitea
|
||||
- traefik_front_network
|
||||
cap_add:
|
||||
- SYS_ADMIN
|
||||
environment:
|
||||
# Adjust for your environment
|
||||
- STORAGE_DIR=/app/server/storage
|
||||
- JWT_SECRET="make this a large list of random numbers and letters 20+"
|
||||
- LLM_PROVIDER=openai
|
||||
# - LLM_PROVIDER=ollama
|
||||
# - OLLAMA_BASE_PATH=http://127.0.0.1:11434
|
||||
# - OLLAMA_MODEL_PREF=llama2
|
||||
# - OLLAMA_MODEL_TOKEN_LIMIT=4096
|
||||
- OPEN_AI_KEY=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
|
||||
- OPEN_MODEL_PREF=gpt-4o-mini
|
||||
- EMBEDDING_ENGINE=ollama
|
||||
- EMBEDDING_BASE_PATH=http://127.0.0.1:11434
|
||||
- EMBEDDING_MODEL_PREF=nomic-embed-text:latest
|
||||
- EMBEDDING_MODEL_MAX_CHUNK_LENGTH=8192
|
||||
- VECTOR_DB=lancedb
|
||||
- WHISPER_PROVIDER=local
|
||||
- TTS_PROVIDER=native
|
||||
- PASSWORDMINCHAR=8
|
||||
# Add any other keys here for services or settings
|
||||
# you can find in the docker/.env.example file
|
||||
volumes:
|
||||
- anythingllm_storage:/app/server/storage
|
||||
restart: always
|
||||
labels:
|
||||
- "com.centurylinklabs.watchtower.enable=true"
|
||||
- "traefik.enable=true"
|
||||
- "traefik.docker.network=traefik_front_network"
|
||||
# HTTP
|
||||
- "traefik.http.routers.hello-world-http.rule=Host(`hello-world.tips-of-mine.com`)"
|
||||
- "traefik.http.routers.hello-world-http.entrypoints=http"
|
||||
- "traefik.http.routers.hello-world-http.priority=49"
|
||||
# HTTPS
|
||||
- "traefik.http.routers.hello-world-https.rule=Host(`hello-world.tips-of-mine.com`)"
|
||||
- "traefik.http.routers.hello-world-https.entrypoints=https"
|
||||
- "traefik.http.routers.hello-world-https.tls=true"
|
||||
- "traefik.http.routers.hello-world-https.priority=50"
|
||||
- "traefik.http.routers.gitea.service=gitea-https-service"
|
||||
# Middleware
|
||||
# Service
|
||||
# - "traefik.http.services.gitea-https-service.loadbalancer.server.port=3000"
|
||||
# - "traefik.http.services.gitea-https-service.loadbalancer.server.scheme=https"
|
||||
# - "traefik.http.services.gitea-https-service.loadbalancer.healthcheck.hostname=gitea.traefik.me"
|
||||
# - "traefik.http.services.gitea-https-service.loadbalancer.healthcheck.method=foobar"
|
||||
# - "traefik.http.services.gitea-https-service.loadbalancer.healthcheck.timeout=10"
|
||||
# - "traefik.http.services.gitea-https-service.loadbalancer.healthcheck.interval=30"
|
||||
## HTTP
|
||||
- "traefik.http.routers.anythingllm-http.rule=Host(`anythingllm.tips-of-mine.com`)"
|
||||
- "traefik.http.routers.anythingllm-http.entrypoints=http"
|
||||
## HTTPS
|
||||
- "traefik.http.routers.anythingllm-https.rule=Host(`anythingllm.tips-of-mine.com`)"
|
||||
- "traefik.http.routers.anythingllm-https.entrypoints=https"
|
||||
- "traefik.http.routers.anythingllm-https.tls=true"
|
||||
- "traefik.http.routers.anythingllm.service=anythingllm-service"
|
||||
## Middleware
|
||||
## Service
|
||||
- "traefik.http.services.anythingllm-service.loadbalancer.server.port=3001"
|
||||
|
||||
volumes:
|
||||
anythingllm_storage:
|
||||
driver: local
|
||||
driver_opts:
|
||||
type: none
|
||||
o: bind
|
||||
device: ./storage
|
||||
Loading…
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Reference in New Issue
Block a user