.env.example

# OPENAI
OPENAI_API_KEY=

# ANTHROPIC
# ANTHROPIC_API_KEY=

# GEMINI
# this is the best model for long context and podcast generation
# GEMINI_API_KEY=

# VERTEXAI
# VERTEX_PROJECT=my-google-cloud-project-name
# GOOGLE_APPLICATION_CREDENTIALS=./google-credentials.json

# OLLAMA
# OLLAMA_API_BASE="http://10.20.30.20:11434"

# OPEN ROUTER
# OPENROUTER_BASE_URL="https://openrouter.ai/api/v1"
# OPENROUTER_API_KEY=

# GROQ
# GROQ_API_KEY=

# XAI
# XAI_API_KEY=

# ELEVENLABS
# Used only by the podcast feature
ELEVENLABS_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
# Use surrealdb if using docker-compose or add your server ip if using a different setup
SURREAL_ADDRESS="surrealdb"
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