<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/4f5339b543da4333b444981a23249276&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/4f5339b543da4333b444981a23249276-acbefb91bf79e903.gif</thumbnail_url><duration>5647.5952</duration><title>Building an Agent Framework with OpenAI&apos;s SDK</title><description>In this video, I discuss the development of a basic agent using the OpenAI agents SDK, focusing on principles and frameworks that guide our approach. I explore the concept of context engineering, emphasizing the importance of managing state, context, and agency within our agents. I also introduce the idea of creating a simple agent framework that can handle tool calls and maintain a conversation loop. Viewers are encouraged to verify that they can run the provided code and to think about how they might implement similar agents in their own projects. Please take a moment to test the code and consider how these principles can apply to your work.</description></oembed>