modal_config.py

# Modal Configuration for HERMES MCP Server
# https://modal.com/docs

"""
To deploy the MCP server to Modal:

1. Install Modal:
   pip install modal

2. Set up Modal token:
   modal token new

3. Deploy the server:
   modal deploy mcp_server.py

4. Test locally:
   modal run mcp_server.py

The server will be available at:
https://your-workspace--hermes-astrology-mcp-<function>.modal.run
"""

# Environment Variables for Modal
# Set these in Modal dashboard or via CLI:
# modal secret create hermes-secrets \
#   OPENAI_API_KEY=sk-... \
#   ANTHROPIC_API_KEY=sk-ant-... \
#   ELEVENLABS_API_KEY=...

# Compute Configuration
# Modal provides generous free tier:
# - 30 free credits per month
# - CPU: 0.1 credits per hour
# - GPU: Varies by type

# For HERMES, we primarily need CPU for calculations
# GPU optional for future ML features (chart pattern recognition)

# Recommended Modal configuration:
MODAL_CONFIG = {
    "cpu": 1.0,  # vCPUs
    "memory": 1024,  # MB - adequate for ephemeris calculations
    "timeout": 300,  # seconds - 5 minutes for complex ZR calculations
    "retries": 2,  # Auto-retry on failure
}

# For production with high volume:
MODAL_PRODUCTION_CONFIG = {
    "cpu": 2.0,
    "memory": 2048,
    "timeout": 600,
    "concurrency_limit": 100,  # Handle multiple requests
}