# Google Gemini API Configuration
# ================================

# Primary: GEMINI_API_KEY (recommended)
# Fallback: GOOGLE_API_KEY (also supported)
# Get your API key: https://aistudio.google.com/apikey
GEMINI_API_KEY=your_gemini_api_key_here

# FAL API KEY
FAL_KEY=your_api_key_here

# Alternative (if you prefer the old name):
# GOOGLE_API_KEY=your_google_api_key_here

# ================================
# IMPORTANT: Paid Tier Setup
# ================================
# The API tier (free vs. paid) is NOT configured in this file or code.
# It's determined by your Google AI Studio billing settings.
#
# To enable PAID TIER with higher rate limits:
#   1. Visit: https://aistudio.google.com/api-keys
#   2. Click "Set up Billing" or "Upgrade" button
#   3. Link a Google Cloud billing account
#   4. Your API key will automatically use paid tier
#
# Paid Tier Benefits:
#   - Higher rate limits (1000+ RPM vs. 15 RPM)
#   - Context caching support
#   - Batch API access
#   - Data NOT used to improve Google products
#   - Priority support
#
# Documentation: https://ai.google.dev/gemini-api/docs/pricing
# ================================

# ================================
# Vertex AI Configuration (Alternative to API Key)
# ================================
# To use Vertex AI instead of direct Gemini API:
#   1. Set use_vertex_ai: true in config.yaml
#   2. Configure these environment variables
#   3. Place service account JSON file in project root
#
# Required for Vertex AI:
GOOGLE_CLOUD_PROJECT=your-project-id
GOOGLE_CLOUD_LOCATION=us-central1
GOOGLE_APPLICATION_CREDENTIALS=google-credentials.json
#
# Service Account Setup:
#   1. Go to: https://console.cloud.google.com/iam-admin/serviceaccounts
#   2. Create service account with "Vertex AI User" role (roles/aiplatform.user)
#   3. Create and download JSON key
#   4. Save as "google-credentials.json" in project root
#   5. IMPORTANT: Add to .gitignore to protect credentials
#
# Benefits of Vertex AI:
#   - Enterprise-grade security with service accounts
#   - Better quota management and rate limits
#   - Integration with GCP billing and monitoring
#   - Suitable for production deployments
#   - No API key exposure in logs
#
# Supported Locations:
#   - us-central1 (Iowa)
#   - us-east1 (South Carolina)
#   - us-west1 (Oregon)
#   - europe-west1 (Belgium)
#   - europe-west4 (Netherlands)
#   - asia-northeast1 (Tokyo)
#   - asia-southeast1 (Singapore)
#   - global (worldwide)
#
# Documentation: https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/gemini
# ================================

# Optional: Application Settings
LOG_LEVEL=INFO
MAX_RETRIES=3