feat: complete phase 1 -- core framework with chat loop, agents, and React UI
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
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frontend/package.json
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frontend/package.json
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{
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"name": "smart-support-frontend",
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"private": true,
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"version": "0.1.0",
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"type": "module",
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"scripts": {
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"dev": "vite",
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"build": "tsc -b && vite build",
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"preview": "vite preview"
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},
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"dependencies": {
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"react": "^19.0.0",
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"react-dom": "^19.0.0"
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},
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"devDependencies": {
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"@types/react": "^19.0.0",
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"@types/react-dom": "^19.0.0",
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"@vitejs/plugin-react": "^4.3.0",
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"typescript": "~5.7.0",
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"vite": "^6.2.0"
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}
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}
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