portfolio/.env.example at main · fotescodev/portfolio · GitHub

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# Universal CV Environment Configuration
# Copy this file to .env.local and fill in your values:
#   cp .env.example .env.local

# ============================================================================
# AI PROVIDER API KEYS
# At least one is required for AI-powered variant generation (npm run generate:cv)
# ============================================================================

# Anthropic Claude (Recommended)
# Get your key at: https://console.anthropic.com
# Pricing: https://www.anthropic.com/pricing
ANTHROPIC_API_KEY=

# OpenAI (Alternative)
# Get your key at: https://platform.openai.com/api-keys
# Pricing: https://openai.com/pricing
OPENAI_API_KEY=

# Google Gemini (Alternative)
# Get your key at: https://makersuite.google.com/app/apikey
# Pricing: https://ai.google.dev/pricing (Free tier available!)
GEMINI_API_KEY=

# ============================================================================
# CV DASHBOARD (Optional)
# ============================================================================

# Password for the private CV Dashboard - share variant links with recruiters
#
# Usage:
#   DASHBOARD_PASSWORD=your-password npm run generate:dashboard
#
# Access:
#   Local:      http://localhost:5173/cv-dashboard/
#   Production: https://yoursite.com/cv-dashboard/
#
# The dashboard is password-protected and lets you:
#   - View all variants in one place
#   - Filter by application status
#   - Download resumes
#   - Share portfolio links
#
DASHBOARD_PASSWORD=

# ============================================================================
# NOTES
# ============================================================================
#
# - Only ONE API key is needed to use AI variant generation
# - Claude (Anthropic) is recommended for best results
# - Gemini has a free tier for getting started
# - If you don't have an API key, you can still:
#   1. Use manual variant creation (copy content/variants/_template.yaml)
#   2. Use the analysis tools (npm run analyze:jd, npm run search:evidence)
#   3. Use the quality pipeline (npm run eval:variant, npm run redteam:variant)