Java developers can build AI solutions entirely in Java by selecting an LLM and integrating it through provider APIs. OpenAI is a common starting point with many Hello World examples in Python, although Java examples are emerging. Implementation should start with a proof of concept and tests. Different LLM providers expose different APIs and function-calling conventions, so designing systems with clean architecture and abstraction layers prevents tight coupling. Spring ecosystem tools can simplify integration and configuration. Proper architectural separation allows swapping LLM providers with minimal code changes instead of embedding provider-specific API calls throughout the codebase.
First things first, you're going to select your LLM. You can go with OpenAI. It's a pretty standard choice for your Hello World. You're going to go to the documentation and you'll see how to actually do a Hello World using OpenAI. Of course, you'll see Python over there. Python is always there. I'm going to count as a win because we're starting to see examples in Java as well.
All of a sudden, OpenAI is not the best choice for me. How do I change that? Let's say I want to move to Gemini or any other LLM out there. I'll go to the documentation. I'll see a different API. Of course, we'll see very similar concepts. Prompt, how to do all that, function calling. The code's going to be different.
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