.env.example

# Bookmarks Cleaner - Environment Variables Example
# Copy this file to .env and fill in your values

# ===========================================
# LLM Configuration (Optional)
# ===========================================

# OpenAI API Key for LLM-based classification
# Get your key from: https://platform.openai.com/api-keys
OPENAI_API_KEY=

# Alternative: Use any OpenAI-compatible API
# Examples: Anthropic, Azure OpenAI, local LLM servers
# OPENAI_API_KEY=your-api-key-here
# OPENAI_BASE_URL=https://api.openai.com/v1

# ===========================================
# Performance Tuning
# ===========================================

# Maximum number of worker threads for parallel processing
# Default: 4 (auto-detected based on CPU cores)
# CLEANBOOK_MAX_WORKERS=4

# Cache size for classification results
# Default: 5000
# CLEANBOOK_CACHE_SIZE=5000

# Feature cache size
# Default: 10000
# CLEANBOOK_FEATURE_CACHE_SIZE=10000

# ===========================================
# Logging Configuration
# ===========================================

# Log level: DEBUG, INFO, WARNING, ERROR, CRITICAL
# Default: INFO
# CLEANBOOK_LOG_LEVEL=INFO

# Log file path
# Default: logs/ai_classifier.log
# CLEANBOOK_LOG_FILE=logs/ai_classifier.log

# ===========================================
# ML Model Configuration
# ===========================================

# Enable/disable machine learning classification
# Default: true
# CLEANBOOK_ENABLE_ML=true

# Model directory for saving/loading trained models
# Default: models/
# CLEANBOOK_MODEL_DIR=models/

# Online learning buffer size
# Default: 1000
# CLEANBOOK_ONLINE_BUFFER_SIZE=1000

# ===========================================
# Health Check Configuration
# ===========================================

# Timeout for URL health checks (seconds)
# Default: 10
# CLEANBOOK_HEALTH_CHECK_TIMEOUT=10

# Maximum concurrent health check workers
# Default: 20
# CLEANBOOK_HEALTH_CHECK_WORKERS=20