A developer demonstrates how to build a Spring AI application using OpenAI with Spring Boot, covering project setup, configuration, and creating a REST API that sends prompts to an AI model. The tutor…
Spring AI's token usage observability, built on Micrometer, lets developers measure cost per feature before optimizing model selection or ChatClient defaults. The first of a four-part series on LLM co…
Solon AI v4.0.3 introduces Talent, a product unit that packages tools with standard operating procedures and activation rules, addressing the limitations of bare function tools in agent workflows. Tal…
Solon 4.0 introduces ChatModel, a unified LLM client that abstracts away boilerplate code for integrating large language models into Java applications. The API supports multiple model providers includ…