# Graphiti MCP Server Environment Configuration

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

# OpenAI API Configuration
# Required for LLM operations
OPENAI_API_KEY=your_gemini_api_key_here
MODEL_NAME=gemini-2.5-flash
SMALL_MODEL_NAME=gemini-2.5-flash

# Optional: Only needed for non-standard OpenAI endpoints
OPENAI_BASE_URL=https://generativelanguage.googleapis.com/v1beta

# Embedder Configuration
# Optional: Separate API key and URL for embedder (falls back to OPENAI_API_KEY and OPENAI_BASE_URL if not set)
# Note: OpenRouter does not support embeddings API, using Ollama as free alternative
EMBEDDER_API_KEY=ollama
EMBEDDER_BASE_URL=http://localhost:11434
EMBEDDER_MODEL_NAME=nomic-embed-text
EMBEDDER_DIMENSION=768

# 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