.env.example

# ============================================================================
# Environment Configuration for Python Training
# ============================================================================
# SECURITY: This file is a TEMPLATE. Create a copy named ".env" and fill with
# your actual keys. Never commit .env to GitHub!
#
# DO THIS:
# 1. Copy this file: cp .env.example .env
# 2. Fill in YOUR actual API keys in .env
# 3. .env is in .gitignore (never pushed to GitHub for safety)
# 4. Load in Python with: from dotenv import load_dotenv
#
# ============================================================================

# AI / LLM APIs (Day 11)
OPENAI_API_KEY=sk-your-key-here
DEEPSEEK_API_KEY=your-deepseek-key-here
GROQ_API_KEY=your-groq-key-here
GOOGLE_API_KEY=your-google-api-key-here

# Local AI (LM Studio)
LM_STUDIO_URL=http://localhost:1234/v1
LM_STUDIO_MODEL=local-model

# Database (Day 6 & 9)
DATABASE_URL=sqlite:///training.db
DATABASE_USER=student
DATABASE_PASSWORD=not_a_real_password

# Email/SMTP (Day 8 - Optional)
SMTP_SERVER=smtp.gmail.com
SMTP_PORT=587
SMTP_USER=your-email@gmail.com
SMTP_PASSWORD=your-app-specific-password

# Flask Debug (Only for development!)
FLASK_ENV=development
FLASK_DEBUG=1

# Custom Settings
DEBUG_MODE=True
LOG_LEVEL=INFO