.env.example

###############################################
############## LLM API SELECTION ##############
###############################################

# LLM_PROVIDER=openai
# OPEN_AI_LLM_KEY=
# OPEN_AI_LLM_MODEL=gpt-4o

# LLM_PROVIDER=gemini
# GEMINI_API_KEY=
# GEMINI_LLM_MODEL=gemini-2.0-flash-lite

# LLM_PROVIDER=azure
# AZURE_OPENAI_LLM_ENDPOINT=
# AZURE_OPENAI_LLM_KEY=
# AZURE_OPENAI_LLM_MODEL=
# AZURE_OPENAI_LLM_API_VERSION=

# LLM_PROVIDER=ollama
# OLLAMA_LLM_BASE_URL=
# OLLAMA_LLM_MODEL=

# LLM_PROVIDER=huggingface
# HUGGING_FACE_LLM_REPO_ID=
# HUGGING_FACE_LLM_ENDPOINT=
# HUGGING_FACE_LLM_API_TOKEN=

# LLM_PROVIDER=bedrock
# AWS_BEDROCK_LLM_ACCESS_KEY_ID=
# AWS_BEDROCK_LLM_SECRET_ACCESS_KEY=
# AWS_BEDROCK_LLM_REGION=us-west-2
# AWS_BEDROCK_LLM_ENDPOINT_URL=https://bedrock.us-west-2.amazonaws.com
# AWS_BEDROCK_LLM_MODEL=anthropic.claude-3-5-sonnet-20241022-v2:0\

###############################################
########### Embedding API SElECTION ###########
###############################################
# Only used if you are using an LLM that does not natively support embedding (openai or Azure)
# EMBEDDING_ENGINE='openai'
# OPEN_AI_KEY=sk-xxxx
# EMBEDDING_MODEL_PREF='text-embedding-ada-002'

# EMBEDDING_ENGINE='azure'
# AZURE_OPENAI_ENDPOINT=
# AZURE_OPENAI_KEY=
# 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

# EMBEDDING_ENGINE='ollama'
# EMBEDDING_BASE_PATH='http://host.docker.internal:11434'
# EMBEDDING_MODEL_PREF='nomic-embed-text:latest'
# EMBEDDING_MODEL_MAX_CHUNK_LENGTH=8192

# EMBEDDING_ENGINE='bedrock'
# AWS_BEDROCK_EMBEDDING_ACCESS_KEY_ID=
# AWS_BEDROCK_EMBEDDING_ACCESS_KEY=
# AWS_BEDROCK_EMBEDDING_REGION=us-west-2
# AWS_BEDROCK_EMBEDDING_MODEL_PREF=amazon.embedding-embedding-ada-002:0

# EMBEDDING_ENGINE='gemini'
# GEMINI_EMBEDDING_API_KEY=
# EMBEDDING_MODEL_PREF='text-embedding-004'

# EMBEDDING_ENGINE='huggingface'
# HUGGING_FACE_EMBEDDING_REPO_ID=
# HUGGING_FACE_EMBEDDING_MODEL=
# HUGGING_FACE_EMBEDDING_API_TOKEN=