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The Model Context Protocol (MCP) lets an AI application call out to external tools and data sources through a standard client-server interface. When a tool runs on the server, the...
AI applications are rapidly moving from single-model applications toward systems composed of multiple specialized agents. One agent may specialize in weather information, another i...
Learn to create a custom advisor that inspects the model's response before Spring AI ChatClient hands it back to the user. The post Safeguarding LLM Output in Spring AI first appe...
Learn about MCP logging in Spring AI, both in an MCP server and a client. The post MCP Logging in Spring AI first appeared on Baeldung.
Learn how to use Spring AI Alibaba to implement and maintain your prompt orchestration logic. The post Building Graph-Based Workflows With Spring AI Alibaba first appeared on Bael...
AutoMemoryTools lets a Spring AI agent keep useful facts between sessions without treating the whole conversation transcript as permanent context. This article explains the idea an...
Why Running It Locally The usual reason given is privacy, and it’s a real one. A prompt sent to a local model never leaves the machine, which changes the conversation with your sec...
The images in this article are explanatory diagrams with Chinese labels, not screenshots of test results. Each caption summarizes the diagram in English. I wanted to make projects...
Large Language Models (LLMs) are commonly accessed through cloud APIs provided by services such as OpenAI, Anthropic, or Google Gemini. However, there are many situations where dev...
Learn how to receive structured output from LLMs with Spring AI. The post A Guide to Structured Output in Spring AI first appeared on Baeldung.
Generative Artificial Intelligence has changed the way developers build intelligent applications. Modern applications can use Large Language Models (LLMs) to understand natural lan...
Retrieval-Augmented Generation, commonly known as RAG, is one of the most useful patterns for building AI applications that need to answer questions using application-specific or p...
Spring AI, LangChain4j, Quarkus, and Helidon all now speak the Model Context Protocol. That is a bigger shift than another integration library, because for the first time it points...
I’m building a real-time chatting solution that works smoothly on both Android and the web and I need a developer who can take it from concept to a polished release. The centerpiec...
Master 40+ Spring Boot interview questions, from basics to advanced, to boost your Java, microservices, and application development skills.
Learn how prompt caching works, the limitations for different Claude models, and how to use it in Spring AI. The post Prompt Caching Support in Spring AI with Anthropic Claude fir...
Large Language Models (LLMs) are increasingly becoming part of enterprise applications. However, integrating an LLM into an existing application is not only about invoking an API....
Modern software applications depend on communication between clients and servers. Every time a browser loads a webpage, a mobile application retrieves a user’s account information,...
Learn to use NVIDIA's Triton Inference Server in Java to do object detection in images. The post Introduction to Triton Java API first appeared on Baeldung.
This article was originally published on my blog. For the latest version and future updates, please visit the original post: https://jaketao.com/language/en/why-openai-upgrading-ap...
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