Ship it and know the bill

1. 01Put the harness behind two HTTP routes: /health and /ask

   curl -s localhost:8080/health

   You pass when: {"status":"ok"} from the server running on your machine.

   Check step 1 app.py

2. 02Write a Dockerfile and run the image with keys passed in at start

   docker build -t parcel-desk . && docker run -d --name pd -p 8080:8080 --env-file .env parcel-desk && sleep 3 && curl -s localhost:8080/health

   You pass when: The same health answer, now from the container.

   Check step 2 Dockerfile.dockerignore

3. 03Check that no key is inside the image

   docker history --no-trunc parcel-desk | grep -c -i "api_key"; docker run --rm --entrypoint ls parcel-desk -a

   You pass when: The count is 0 and no .env file is listed. Keys arrive when the container starts, never when it is built.

   Check step 3

4. 04Send 50 requests and work out the cost of one

   uv run --with requests load.py --n 50

   You pass when: Average seconds and average cost per request, and what 1,000 requests a day would cost a month.

   Check step 4 load.pyCOST.md

5. 05Stop everything the course started

   Leaving things running is how a free experiment becomes a bill. Make teardown the last step of every delivery.

   docker rm -f pd learn-pg learn-qdrant; docker ps --format "{{.Names}}"

   You pass when: None of the lab containers are listed. Stop Langfuse with docker compose down in its folder.

   Check step 5

The check runs on the computer, not on your word: a step passes when its command exits with 0 there.