Agent Loops in AI Agents

Lessons in this section

1. Loop Mechanics

   What happens inside one turn of the agent loop: input assembly, inference, tool execution and observation capture, plus iteration tracking, action evaluation and the three runtime logs.

2. Loop Control and Governance

   How to decide when an agent loop stops and how much it may use: stop conditions, step, token, time and cost budgets, soft and hard limits, progress checks, and a clean final report.