<?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/ff222211e0864937aee4aeef0f28c3b7&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/ff222211e0864937aee4aeef0f28c3b7-5d478603e4643f17.gif</thumbnail_url><duration>180.462</duration><title>LiteLLM x Enkrypt AI Guardrails</title><description>In this video, I walk you through how to use encrypt AI guardrails with LightLLM, highlighting the ability to set guardrails by keys or teams for specific policies. I demonstrate integrating the encrypt provider by entering my API key and policy name, and I show how to test the guardrails with gpt-4.1. I emphasize the importance of having guardrails always on for certain keys and teams, and I illustrate how to add multiple policies seamlessly. Please ensure you review these steps and implement the guardrails as needed for your projects.</description></oembed>