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Lesson 1.1
Building an agent loop
An agent is a loop: call the model, run the tool it asked for, feed the result back, repeat. Every loop needs a stopping condition it cannot argue with.
- 15m
Overview
What this lesson covers
- Structure the call, execute, feed back cycle
- Bound the loop with iteration and token limits
- Log each step so failures can be replayed
This lesson sits in Tool Calling and Agents, part of Building AI Apps with LLMs. It assumes what came before it and leads directly into the next lesson in the module.
In this lesson you will:
- Structure the call, execute, feed back cycle
- Bound the loop with iteration and token limits
- Log each step so failures can be replayed
