<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Spring AI on SivaLabs</title><link>https://www.sivalabs.in/categories/spring-ai/</link><description>Recent content in Spring AI on SivaLabs</description><generator>Hugo</generator><language>en</language><lastBuildDate>Mon, 20 Jul 2026 19:35:11 +0530</lastBuildDate><atom:link href="https://www.sivalabs.in/categories/spring-ai/index.xml" rel="self" type="application/rss+xml"/><item><title>Spring AI : Chat with LLMs</title><link>https://www.sivalabs.in/blog/spring-ai-chat-with-llms/</link><pubDate>Mon, 20 Jul 2026 06:00:00 +0000</pubDate><guid>https://www.sivalabs.in/blog/spring-ai-chat-with-llms/</guid><description>&lt;p&gt;Calling an LLM is just an HTTP request. The trouble is that every provider has its own API,
configuration, and response format.&lt;/p&gt;
&lt;p&gt;Spring AI handles that provider-specific plumbing and gives us a familiar Spring API. In this article,
we will use &lt;code&gt;ChatClient&lt;/code&gt; to talk to OpenAI&amp;rsquo;s GPT-5 model and then make our prompts reusable with
&lt;code&gt;PromptTemplate&lt;/code&gt;.&lt;/p&gt;</description></item></channel></rss>