AI Engineering
Learn LLMs, RAG, agents, secure tools, and production AI through practical insurance examples.
What is FastAPI's role?
It provides a Python HTTP service boundary with declared routes and data schemas. Pydantic validates input/output, while application dependencies and services enforce identity, permissions, and business rules.
When should a route be async?
When it awaits compatible nonblocking I/O. Async does not make CPU work fast or turn a synchronous SDK into an async one. I choose client and execution boundaries deliberately.
Where should long extraction run?
In bounded workers with durable jobs, retries, status, and resource isolation. FastAPI can start/check tasks or expose fast specialized operations; it should not keep arbitrary multi-minute processing alive solely through an open request.
Node can call the LLM already. Why add FastAPI?
Only for a concrete Python library, local model, numerical workload, or scaling boundary. Otherwise another service adds authentication, deployments, networking, contracts, and failures without meaningful benefit.
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