<?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/2a62fd70efe8423fb495946b09c2d8ac&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/2a62fd70efe8423fb495946b09c2d8ac-00001.gif</thumbnail_url><duration>384.7333333333333</duration><title>AgentOps - Multi-Agent System</title><description>In this video, I will show you how to integrate AgentOps into a multi-agent system. We will start by building the multi-agent system using OpenAI as our language model provider. I will guide you through the process of creating class-based agents, including a QA agent and an engineer agent. These agents will work together to generate a function and a test for that function. Throughout the video, I will also explain how to track and gather data on your multi-agent system using AgentOps. No action is requested from the viewers.</description></oembed>