Exercise 3 of 10 · 0 passed
System Prompt Design
A system prompt sets the model's role and constraints for the whole conversation. It's the difference between "maybe it classifies correctly" and "it always does."
A good system prompt:
- Defines the role clearly
- Lists exactly what's allowed
- Specifies output format with no room for improvisation
Why care? In Python you wouldn't eval() arbitrary strings. A tight system prompt is your API contract with the model — nail it once, trust it everywhere.
Task
SYSTEM_PROMPT is currently vague. Rewrite it so classify_with_role consistently returns exactly one category name from CATEGORIES and nothing else.
The function body is already correct — only fix the system prompt constant.
Click "Run tests". First time loads Python in your browser (~5s). After that, runs are instant on this page and ~1s on the others.
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The point of the exercise is the struggle, not the answer. Once your tests are green, the reference solution unlocks here so you can compare patterns.
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You ran ten exercises against a mocked SDK. The cohort builds the real thing: an AI agent shipped to production with 150+ passing tests, Telegram bot, FastAPI, Streamlit, Docker. Six weeks. Every PR reviewed.