<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>OpenAI Agent SDK on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/openai-agent-sdk/</link><description>Recent content in OpenAI Agent SDK on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Thu, 06 Nov 2025 22:00:00 +0530</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/openai-agent-sdk/index.xml" rel="self" type="application/rss+xml"/><item><title>Integrating with Existing Agent Frameworks</title><link>https://ai-blog.noorshomelab.dev/agentic-lightening-guide/integrating-with-existing-agent-frameworks/</link><pubDate>Thu, 06 Nov 2025 22:00:00 +0530</pubDate><guid>https://ai-blog.noorshomelab.dev/agentic-lightening-guide/integrating-with-existing-agent-frameworks/</guid><description>&lt;h2 id="integrating-with-existing-agent-frameworks"&gt;Integrating with Existing Agent Frameworks&lt;/h2&gt;
&lt;p&gt;One of the most compelling features of Agentic Lightening is its ability to train and optimize &lt;em&gt;any&lt;/em&gt; AI agent, regardless of the framework it was built with. This means you don&amp;rsquo;t have to throw away your existing LangChain, AutoGen, OpenAI Agent SDK, or custom agents. Instead, you can &amp;ldquo;light them up&amp;rdquo; by wrapping them with a &lt;code&gt;LitAgent&lt;/code&gt; and integrating them into the Agentic Lightening training pipeline.&lt;/p&gt;</description></item></channel></rss>