Spring AI with Groq - a blazingly fast AI inference engine

The integration of Groq's AI inference engine into Spring AI applications significantly enhances performance and capabilities. Spring AI now supports Groq, utilizing its OpenAI-compatible API to leverage Groq’s high-performance models through the familiar Spring AI API. To use Groq with Spring AI, developers must configure the OpenAI client to Groq's API endpoint and models, and obtain a Groq API key. Necessary dependencies and environment variables should be added to the project. A simple example provided demonstrates creating REST endpoints to generate and stream AI responses. Additionally, Groq supports tool/function calling, allowing the registration of custom Java functions that the model can call as needed, demonstrated with a weather service example. Developers should note the specific models and potential differences in behavior compared to the OpenAI API. Groq's key advantages include its fast inference times, although it currently lacks multimodal support. This integration offers new possibilities for utilizing high-performance AI models in Spring applications, with evolving features and compatibility.