saidsurucuandClaude Opus 4.7
42731a2c03
google/gemini-embedding-001 became paid on OpenRouter, leaving users without credit unable to run the semantic_search tool. The old code hardcoded the model and 3072 dimensions in three places. Make OpenRouterEmbedder accept model/dimension via constructor args or OPENROUTER_EMBEDDING_MODEL / OPENROUTER_EMBEDDING_DIMENSION env vars, with the previous values as backward-compatible defaults. Switch the VectorStore and the response payload in mcp_server_main to read embedder.dimension instead of the hardcoded 3072 so a configured non-Gemini model does not produce shape mismatches. Bad dimension input (non-int or non-positive) now raises a clear ValueError instead of a downstream shape error. Documented the new env vars in .env.example. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
119 lines
4.4 KiB
Bash
119 lines
4.4 KiB
Bash
# OAuth Configuration for Clerk + Google
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# Copy this file to .env and fill in your actual values
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# =============================================================================
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# AUTHENTICATION SETTINGS
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# =============================================================================
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# Enable/disable authentication (set to "true" to enable OAuth)
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ENABLE_AUTH=false
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# =============================================================================
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# CLERK CONFIGURATION
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# =============================================================================
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# Clerk API keys (get from https://dashboard.clerk.com/)
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CLERK_SECRET_KEY=sk_test_your_secret_key_here
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CLERK_PUBLISHABLE_KEY=pk_test_your_publishable_key_here
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# OAuth Redirect URLs
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CLERK_OAUTH_REDIRECT_URL=http://localhost:8000/auth/callback
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CLERK_FRONTEND_URL=http://localhost:3000
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# Clerk domain issuer (usually auto-configured)
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CLERK_ISSUER=https://your-clerk-domain.clerk.accounts.dev
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CLERK_DOMAIN=your-clerk-domain
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# =============================================================================
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# GOOGLE OAUTH SETTINGS
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# =============================================================================
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# Note: Google OAuth is configured through Clerk dashboard
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# You need to:
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# 1. Go to Clerk Dashboard > Social Connections
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# 2. Enable Google provider
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# 3. Add your Google OAuth client ID and secret
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# 4. Configure redirect URIs in Google Console
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# =============================================================================
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# STRIPE CONFIGURATION (for payments/subscriptions)
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# =============================================================================
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STRIPE_SECRET=sk_test_your_stripe_secret_key_here
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STRIPE_WEBHOOK_SECRET=whsec_your_webhook_secret_here
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# =============================================================================
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# SERVER CONFIGURATION
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# =============================================================================
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# CORS origins (comma-separated list)
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ALLOWED_ORIGINS=http://localhost:3000,http://localhost:8000,https://yourdomain.com
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# Server settings
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HOST=0.0.0.0
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PORT=8000
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LOG_LEVEL=info
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# Base URL for the application (used for OAuth callbacks and API URLs)
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BASE_URL=http://localhost:8000
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# JWT Secret for MCP token generation
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JWT_SECRET_KEY=your_jwt_secret_key_here
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# =============================================================================
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# MCP SERVER SETTINGS
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# =============================================================================
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# Additional MCP server configuration can go here
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# For example, rate limiting, feature flags, etc.
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# Example: Rate limiting
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# MAX_REQUESTS_PER_MINUTE=60
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# BURST_CAPACITY=20
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# =============================================================================
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# SEMANTIC SEARCH SETTINGS (Optional)
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# =============================================================================
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# OpenRouter API Key for semantic search functionality
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# Get your API key from: https://openrouter.ai/keys
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# If not set, semantic search tool will be disabled
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OPENROUTER_API_KEY=sk-or-v1-your_openrouter_api_key_here
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# Optional: override the embedding model and dimension.
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# Defaults: google/gemini-embedding-001 at 3072 dims (paid on OpenRouter).
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# Pick any embedding model from https://openrouter.ai/models?modality=embedding
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# and set the dimension to that model's output size — they must match.
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# OPENROUTER_EMBEDDING_MODEL=google/gemini-embedding-001
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# OPENROUTER_EMBEDDING_DIMENSION=3072
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# =============================================================================
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# USAGE INSTRUCTIONS
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# =============================================================================
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# 1. Copy this file to .env:
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# cp .env.example .env
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# 2. Get Clerk credentials:
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# - Sign up at https://clerk.com/
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# - Create a new application
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# - Go to API Keys tab
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# - Copy Secret Key and Publishable Key
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# 3. Configure Google OAuth in Clerk:
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# - In Clerk Dashboard, go to Social Connections
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# - Enable Google provider
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# - Get Google OAuth credentials from Google Console
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# - Add redirect URI: http://localhost:8000/auth/callback
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# 4. Update OAuth URLs:
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# - Set CLERK_OAUTH_REDIRECT_URL to your callback URL
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# - Set CLERK_FRONTEND_URL to your frontend application URL
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# 5. Enable authentication:
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# - Set ENABLE_AUTH=true
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# 6. Test the OAuth flow:
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# - Start server: uvicorn asgi_app:app --reload
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# - Visit: http://localhost:8000/auth/login
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# - Complete OAuth flow with Google
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# - Check: http://localhost:8000/auth/user |