modcomms/backend/.env.example
michael 321a9ca820 Implement Microsoft MSAL SSO with PKCE flow
Frontend:
- Add @azure/msal-browser and @azure/msal-react packages
- Create authConfig.ts with MSAL configuration for PKCE flow
- Create authService.ts for token acquisition and user info
- Wrap App with MsalProvider in index.tsx
- Replace dummy login with real MSAL loginPopup() in Login.tsx
- Update App.tsx to use useIsAuthenticated/useMsal hooks
- Update Profile.tsx to display real user data from claims
- Update geminiService.ts to include access_token in WebSocket messages
- Update WIPReviewer.tsx to pass msalInstance for auth

Backend:
- Add python-jose and httpx dependencies for JWT verification
- Create auth_service.py with Azure AD JWKS fetching and token verification
- Create auth.py FastAPI dependency for protected REST endpoints
- Update main.py to verify tokens on WebSocket and protect /info endpoint
- Add AZURE_TENANT_ID, AZURE_CLIENT_ID, DISABLE_AUTH to config

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-16 08:43:30 -06:00

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# Gemini API Configuration
# Get your API key from: https://aistudio.google.com/app/apikey
GEMINI_API_KEY=your_gemini_api_key_here
# Reference Documents Path (optional)
# Defaults to ../reference_docs relative to backend/
# REFERENCE_DOCS_PATH=/path/to/reference_docs
# CORS Configuration
# Comma-separated list of allowed origins
CORS_ORIGINS=http://localhost:3000
# Server Configuration
HOST=0.0.0.0
PORT=8000
# Azure AD Configuration (for Microsoft SSO token verification)
# Get these from your Azure AD app registration
AZURE_TENANT_ID=your_azure_tenant_id_here
AZURE_CLIENT_ID=your_azure_client_id_here
# Development only - set to "true" to disable authentication (NOT for production)
DISABLE_AUTH=false