<?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/fd603facb37e4f29bb3f1047dbbc1822&quot; frameborder=&quot;0&quot; width=&quot;1664&quot; height=&quot;1248&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1248</height><width>1664</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1248</thumbnail_height><thumbnail_width>1664</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/fd603facb37e4f29bb3f1047dbbc1822-00001.gif</thumbnail_url><duration>1311.8333333333333</duration><title>Exploring Autogenerated Agent Chat Tasks</title><description>In this video, I discuss the implementation of autogenerated agent chat tasks using open source tools. I explain how using an open source tool can make the process easier and more cost-effective. I provide examples and code snippets to demonstrate how to create and use tools in Langchain. No specific action is requested from the viewers, but the video serves as a tutorial and introduction to autogenerated agent chat tasks.</description></oembed>