4693ebcf83
- Add package.json for project configuration and dependencies. - Create src/index.ts as the entry point for the MCP server. - Implement vectorStore for managing embeddings with local and cloud providers. - Add embeddingProviders for local and cloud-based embedding services (OpenAI, Aliyun, SiliconFlow). - Define types for prompts and embeddings in types.ts. - Implement searchPersona tool for semantic search of expert personas. - Create test.ts for validating vector storage and search functionality. - Configure TypeScript with tsconfig.json for strict type checking and module resolution.
21 lines
481 B
JSON
21 lines
481 B
JSON
{
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"compilerOptions": {
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"target": "ES2022",
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"module": "NodeNext",
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"moduleResolution": "NodeNext",
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"lib": ["ES2022"],
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"outDir": "./dist",
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"rootDir": "./src",
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"strict": true,
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"esModuleInterop": true,
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"skipLibCheck": true,
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"forceConsistentCasingInFileNames": true,
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"resolveJsonModule": true,
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"declaration": true,
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"declarationMap": true,
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"sourceMap": true
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},
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"include": ["src/**/*"],
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"exclude": ["node_modules", "dist"]
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}
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