Stand Up the Endpoint

deploying an HTTP endpoint

Part of: Ship & Monitor an LLM App (Capstone)

The function from last lesson works, but nobody can hit a Python function from a browser. This lesson wraps handle request in an HTTP server and gets one route live: POST /generate in, JSON out. That's the smallest thing you can deploy. One endpoint, one job, running as a process that listens on a port. Picking a framework FastAPI is the usual choice for a small Python API. It's quick to write, it validates request bodies for you, and it runs under uvicorn as a real server process. Notice generate is a thin wrapper. FastAPI parses and validates the JSON body into req, then hands it straight to the handle request function you already built. You didn't rewrite your model logic for the web. You exposed the function you already had. Running it for real uvicorn is the process that listens on a port and forwards requests into your FastAPI app. --host 0.0.0.0 means accept connections from outside this machine, not just localhost. That's the difference between runs on my laptop and reachable from the internet once it's deployed somewhere. Where it actually runs Deploying means running that same uvicorn command on a machine that stays on and has a public address, instead of your laptop. Sma

Challenge: Route the Requests