Feat/Implement Performance Optimization via Memoization and providing a landing page (#4)#30
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- Setup FastAPI app, routers, and health checks - Add Pydantic domain schemas and env configuration - Build LMS mock adapter and nudge engine skeleton - Add Pytest suite with 86% coverage and CI workflow - Add Dockerfile and docker-compose
…memoizatiob with TTL optimization
SuryaPratapIIIT
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Introduced a unified memoization system to optimize the TAP Voice Agent's performance by caching expensive operations. This significantly reduces network latency when communicating with the TAP LMS (Frappe) and speeds up repeated heuristic computations .
I have also provided a rough landing page for project.