# Graphiti MCP Server Environment Configuration

# Database Configuration
# Choose between 'neo4j' or 'falkordb'
DATABASE_TYPE=falkordb

# These settings are used to connect to your Neo4j database
NEO4J_URI=bolt://localhost:7687
NEO4J_USER=neo4j
NEO4J_PASSWORD=demodemo

# These settings are used to connect to your FalkorDB database
FALKORDB_PORT=6379
FALKORDB_HOST=localhost
FALKORDB_USER=
FALKORDB_PASSWORD=

# OpenAI API Configuration
# Required for LLM operations
OPENAI_API_KEY=your_openai_api_key_here
MODEL_NAME=gpt-4.1-mini

# Optional: Only needed for non-standard OpenAI endpoints
# OPENAI_BASE_URL=https://api.openai.com/v1

# Embedder Configuration
# Provider is auto-detected based on configuration:
# - Azure: if AZURE_OPENAI_EMBEDDING_ENDPOINT is set
# - Ollama: if USE_OLLAMA_FOR_EMBEDDER is set to true
# - OpenAI: default (no additional config needed)
# USE_OLLAMA_FOR_EMBEDDER=true  # Set this to true to use Ollama
# OLLAMA_EMBEDDER_API_KEY=ollama  # Ollama API key (optional, defaults to 'ollama')
# OLLAMA_EMBEDDER_BASE_URL=http://localhost:11434  # Ollama base URL (when using Ollama)
# OLLAMA_EMBEDDER_MODEL_NAME=nomic-embed-text  # Ollama embedding model to use
# OLLAMA_EMBEDDER_DIMENSION=768  # Ollama embedding dimension (model-specific)

# Optional: Group ID for namespacing graph data
# GROUP_ID=my_project

# Optional: Path configuration for Docker
# PATH=/root/.local/bin:${PATH}

# Optional: Memory settings for Neo4j (used in Docker Compose)
# NEO4J_server_memory_heap_initial__size=512m
# NEO4J_server_memory_heap_max__size=1G
# NEO4J_server_memory_pagecache_size=512m

# Azure OpenAI configuration
# Optional: Only needed for Azure OpenAI endpoints
# AZURE_OPENAI_ENDPOINT=your_azure_openai_endpoint_here
# AZURE_OPENAI_API_VERSION=2025-01-01-preview
# AZURE_OPENAI_DEPLOYMENT_NAME=gpt-4o-gpt-4o-mini-deployment
# AZURE_OPENAI_EMBEDDING_API_VERSION=2023-05-15
# AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME=text-embedding-3-large-deployment
# AZURE_OPENAI_USE_MANAGED_IDENTITY=false