https://fortinetcloudcse.github.io/ai-101/03agents/index.htmlThis page covers the theory behind how an agent works: the tool-call loop, how the model signals that it wants to run a function, how tool schemas are structured, and why the agent in this workshop is deliberately simple. The hands-on portion is in Lab 2. By the end of this page you should be able to explain: What an agent is at the code level (a loop, nothing more) How finish_reason: tool_calls drives the loop What a tool schema is and why the description field matters How the message list grows with each iteration What MAX_ITERATIONS protects against and why it is not a security control The UI Lab 2 introduces a browser UI. Lab 2 gives the URL for your deployment path. It is a single-page vanilla JS application that talks to the agent API (proxied through nginx as /api/).Hugoen-UShttps://fortinetcloudcse.github.io/ai-101/03agents/1_lab.htmlMon, 01 Jan 0001 00:00:00 +0000https://fortinetcloudcse.github.io/ai-101/03agents/1_lab.htmlLab 2 brings up the agent and UI alongside Ollama. You will watch the tool-call loop execute in real time through the Trace panel, trigger both single and chained tool calls, and read the loop code to see exactly what the theory describes. Your path: Docker ComposeKubernetes / Helm Locked in — every lab page follows this choice. ​ Docker Compose Kubernetes / Helm Docker Compose — every command on this page runs on your own machine.