Exercise 2 — A diagnostic agent with two tools

Guided practice6 min
Time
35 min
You need
the kit, the venv, Ollama running, week12/diag_tools.py from Exercise 1
Deliverable
the output of Steps 5 to 7, with the line rounds used: for each question

The lab kit of the course: https://github.com/hrhouma2/aiopsatlas-ml-data-diagnostics-labs-en

Goal

In Exercise 1 a classifier chose the tool. Today the model chooses. You give it the two tools with bind_tools. It asks for one, a ToolNode runs it, the result comes back, and the model asks again or answers. The conversation lives in MessagesState. A counter in the state stops the loop after 3 tool rounds. You will also see, honestly, where a 3B model fails, and how to write a question it can follow.

Preview — the rest of the lesson is for enrolled readers.

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This lesson is part of the “Week 12 — Stateful workflows with LangGraph” module

The first modules of the course are open to everyone. For the rest you have three options: buy this course once and for all, subscribe, or enter the code handed out in class.

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