Backend: - FastAPI WebSocket /ws endpoint with streaming via LangGraph astream - LangGraph Supervisor connecting 3 mock agents (order_lookup, order_actions, fallback) - YAML Agent Registry with Pydantic validation and immutable configs - PostgresSaver checkpoint persistence via langgraph-checkpoint-postgres - Session TTL with 30-min sliding window and interrupt extension - LLM provider abstraction (Anthropic/OpenAI/Google) - Token usage + cost tracking callback handler - Input validation: message size cap, thread_id format, content length - Security: no hardcoded defaults, startup API key validation, no input reflection Frontend: - React 19 + TypeScript + Vite chat UI - WebSocket hook with reconnect + exponential backoff - Streaming token display with agent attribution - Interrupt approval/reject UI for write operations - Collapsible tool call viewer Testing: - 87 unit tests, 87% coverage (exceeds 80% requirement) - Ruff lint + format clean Infrastructure: - Docker Compose (PostgreSQL 16 + backend) - pyproject.toml with full dependency management
22 lines
551 B
JSON
22 lines
551 B
JSON
{
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"compilerOptions": {
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"target": "ES2020",
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"useDefineForClassFields": true,
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"lib": ["ES2020", "DOM", "DOM.Iterable"],
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"module": "ESNext",
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"skipLibCheck": true,
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"moduleResolution": "bundler",
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"allowImportingTsExtensions": true,
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"isolatedModules": true,
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"moduleDetection": "force",
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"noEmit": true,
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"jsx": "react-jsx",
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"strict": true,
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"noUnusedLocals": true,
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"noUnusedParameters": true,
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"noFallthroughCasesInSwitch": true,
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"noUncheckedSideEffectImports": true
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},
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"include": ["src"]
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}
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