# DEFAULT MODEL_CONFIGURATIONS DEFAULT_MODEL="openai/gpt-4o-mini" SUMMARIZATION_MODEL="openai/gpt-4o-mini" RETRIEVAL_MODEL="openai/gpt-4o-mini" # OPENAI # USE MODEL NAMES AS "openai/" # EXAMPLE - openai/gpt-4o-mini OPENAI_API_KEY= # ANTHROPIC # USE MODEL NAMES AS "anthropic/" # EXAMPLE - anthropic/claude-3-5-sonnet-20240620 ANTHROPIC_API_KEY= # VERTEXAI # USE MODEL NAMES AS "vertexai/" # EXAMPLE - vertexai/gemini-1.5-pro-001 VERTEX_PROJECT=my-google-cloud-project-name GOOGLE_APPLICATION_CREDENTIALS=./google-credentials.json # OLLAMA # USE MODEL NAMES AS "ollama/" # EXAMPLE - ollama/gemma2 OLLAMA_API_BASE="http://10.20.30.20:11434" # OPEN ROUTER # USE MODEL NAMES AS "openrouter/" # EXAMPLE - openrouter/nvidia/llama-3.1-nemotron-70b-instruct OPENROUTER_BASE_URL="https://openrouter.ai/api/v1" OPENROUTER_API_KEY= # USE THIS IF YOU WANT TO DEBUG THE APP ON LANGSMITH # LANGCHAIN_TRACING_V2=true # LANGCHAIN_ENDPOINT="https://api.smith.langchain.com" # LANGCHAIN_API_KEY= # LANGCHAIN_PROJECT="Open Notebook" # CONNECTION DETAILS FOR YOUR SURREAL DB SURREAL_ADDRESS="localhost" SURREAL_PORT=8000 SURREAL_USER="root" SURREAL_PASS="root" SURREAL_NAMESPACE="open_notebook" SURREAL_DATABASE="staging" # This is used for the summarization feature when the content is to big to fit a single context window # It is measured in characters, not tokens. SUMMARY_CHUNK_SIZE=200000 SUMMARY_CHUNK_OVERLAP=1000 # This is used for vector embeddings # It is measured in characters, not tokens. EMBEDDING_CHUNK_SIZE=1000 EMBEDDING_CHUNK_OVERLAP=50