<?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/0e0d2986f3d644a58d1e186dc81cd8b1&quot; frameborder=&quot;0&quot; width=&quot;1672&quot; height=&quot;1254&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1254</height><width>1672</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1254</thumbnail_height><thumbnail_width>1672</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/0e0d2986f3d644a58d1e186dc81cd8b1-00001.gif</thumbnail_url><duration>100.76666666666667</duration><title>AgentOps - Simple Agent Example</title><description>In this video, I will show you how to integrate Agent Ops into a simple agent. It&apos;s a straightforward process that involves just one chat completion. I will guide you through the steps, including installing Agent Ops, importing it into your code, and initializing it with your API key. Once integrated, you can call check completion on the OpenAI client or use light LLM to gather information and display it in the Agent Ops dashboard. Watch this video to learn how to easily integrate Agent Ops and enhance your agent&apos;s capabilities.</description></oembed>