langgraph-redis-workshop/.env.example at main · EconoBen/langgraph-redis-workshop · GitHub

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# LangGraph + Redis Workshop - Environment Configuration
# Copy this file to .env and fill in your actual values
# DO NOT commit .env to version control!

# =============================================================================
# LLM PROVIDER - Choose ONE (or configure both for flexibility)
# =============================================================================

# Option 1: Anthropic Claude (Recommended)
# Get your API key from: https://console.anthropic.com/
ANTHROPIC_API_KEY=sk-ant-your-api-key-here
ANTHROPIC_MODEL=claude-3-5-sonnet-20241022

# Option 2: OpenAI GPT
# Get your API key from: https://platform.openai.com/
# OPENAI_API_KEY=sk-your-api-key-here
# OPENAI_MODEL=gpt-4

# Default provider for workshop (change to "openai" if preferred)
DEFAULT_LLM_PROVIDER=anthropic

# =============================================================================
# REDIS CACHE - Required for Exercises 2 & 3
# =============================================================================

# Local Redis via Docker (Recommended)
# Start Redis: docker-compose up -d
REDIS_URL=redis://localhost:6379

# Alternative: Redis with password
# REDIS_URL=redis://:your-password@localhost:6379

# Cloud Redis (Optional - for production)
# REDIS_URL=redis://your-cloud-host:6379
# REDIS_PASSWORD=your-password

# Cache configuration
CACHE_TTL=3600                    # Time-to-live in seconds (1 hour)
CACHE_SIMILARITY_THRESHOLD=0.95   # Semantic similarity threshold (0-1)

# =============================================================================
# MEMORY & STORAGE (Optional - for production deployments)
# =============================================================================

# PostgreSQL for persistent checkpointing (optional)
# DATABASE_URL=postgresql://user:password@localhost:5432/langgraph_workshop

# SQLite for local checkpointing (optional)
# SQLITE_DB_PATH=./data/checkpoints.db

# =============================================================================
# MONITORING & OBSERVABILITY (Optional)
# =============================================================================

# LangSmith for tracing and monitoring
# Get API key from: https://smith.langchain.com/
# LANGCHAIN_TRACING_V2=true
# LANGCHAIN_API_KEY=your-langsmith-key
# LANGCHAIN_PROJECT=langgraph-redis-workshop

# =============================================================================
# WORKSHOP CONFIGURATION
# =============================================================================

# Enable verbose logging for debugging
VERBOSE=false

# Cost tracking
ENABLE_COST_TRACKING=true

# Maximum tokens per request (safety limit)
MAX_TOKENS=4096

# =============================================================================
# DEVELOPMENT SETTINGS
# =============================================================================

# Environment (development, production)
ENVIRONMENT=development

# Debug mode
DEBUG=false