sample.env

# WebShop+ Environment Configuration
# Copy this file to .env and configure for your environment
#
# For Docker deployment:
#   cp sample.env .env
#   # Edit .env with your LLM API key
#   docker compose up -d

# ==============================================================================
# LLM Configuration
# ==============================================================================

# LLM Model to use (LiteLLM format)
# Production options:
#   - nebius/Qwen/Qwen3-32B (recommended for production)
#   - openai/gpt-4o
#   - anthropic/claude-3-5-sonnet-20241022
# Local options (via LM Studio):
#   - openai/qwen3-coder-30b-a3b-instruct-mlx (recommended for local)
#   - openai/model_name (any model loaded in LM Studio)
LLM_MODEL=nebius/Qwen/Qwen3-32B

# API Key for the LLM provider
# Not required for LM Studio (local)
# For LM Studio, set LLM_API_BASE=http://localhost:1234/v1
LLM_API_KEY=your-api-key-here
LLM_API_BASE=

# ==============================================================================
# WebShop Configuration
# ==============================================================================

# WebShop mode: preview (1,000 products) or full (1.18M products)
WEBSHOP_MODE=preview

# Path to WebShop data (relative to container or project root)
WEBSHOP_DATA_PATH=./webshop/data

# ==============================================================================
# Server Configuration
# ==============================================================================

# Log level: DEBUG, INFO, WARNING, ERROR
LOG_LEVEL=INFO

# Agent ports (used by docker-compose)
GREEN_AGENT_PORT=8000
PURPLE_AGENT_PORT=8001

# ==============================================================================
# AgentBeats Integration (optional)
# ==============================================================================

# AgentBeats platform URL (if registering with platform)
# AGENTBEATS_URL=https://agentbeats.example.com

# Agent registration key
# AGENTBEATS_API_KEY=your-registration-key