Spring AI
@SpringAICentral
Official X account for Spring AI from @SpringCentral
Reminder that our next meeting is in just over 24 hours. See you in Midtown Manhattan to learn about Spring AI from Josh Long and James Ward! javasig.com Also our next meeting is right on its heels on December 4th. Save the date and keep an eye out for registration.
Honoured to contribute to the freshly released Spring AI 1.1.0🎉 with the Google GenAI SDK integration. Use API Keys or Google credentials with the latest Gemini models and explore new advanced features! @SpringAICentral @GoogleCloudTech @googleaidevs spring.io/blog/2025/11/1…
SSE can break LLM token parcing resulting in a spaceless response. In a new video, @cat_edelveis shows how to fix it using NDJSON with @SpringAICentral and WebFlux. A clean, stable way to stream tokens in real apps: youtu.be/l6c0H51fIRQ
👾New on CyberJAR: Streaming LLM Tokens with NDJSON and Spring AI I've decided to focus on a more niche topic with @SpringAICentral: this guide is useful if you want to stream LLM responses and avoid parsing issues youtube.com/watch?v=l6c0H5…
youtube.com
YouTube
Spring AI: Streaming LLM Tokens with NDJSON in Spring Boot
Spring Framework 7.0 is now GA! Including Java 25 (with Java 17 baseline), Jakarta EE 11, JSpecify null-safety, Jackson 3.0, Kotlin 2.2, JUnit 6.0, plus programmatic bean registration, JmsClient, API versioning, HTTP Interface Client, RestTestClient & more spring.io/blog/2025/11/1…
Spring AI 1.1 is out! And you can now use an Amazon Bedrock bearer token making local dev super easy to setup. Java and Kotlin developers can now create a new AI app in a couple minutes and connect to any of the 200+ models! All it takes is a few lines of code & config:
🚀 Exciting news: Spring AI 1.1.0 GA is here! A major update with enhanced MCP support, prompt caching, model integrations, advanced AI advisors, vector stores, chat memory, observability enhancements, and 850+ improvements, bug fixes, and updates. 👉 spring.io/blog/2025/11/1…
💥 Build, deploy & scale AI agents! Join @jamesward & @starbuxman at #Devnexus for a full-day, hands-on workshop using Spring AI, MCP, Java, & Amazon Bedrock. devnexus.com/events/hands-o… Learn RAG, chat memory, & multi-agent systems — all in one session. 🎟️ Get tickets at…
Woot! Come learn Spring AI in NY next week!
🚀 Ready to dive into the future of Spring & AI? Join us for Bootiful Spring AI: An Evening with @starbuxman (Josh Long) & @jamesward (James Ward)! 🧠✨ 📅 Don’t miss your chance — Nov 19th: 👉 javasig.com #BootifulSpringAI #SpringFramework #AI #Java
🤖⚖️ LLM-as-a-Judge with #SpringAI Evaluating LLM output is challenging. Traditional metrics fall short, and human evaluation doesn't scale. LLM-as-a-Judge uses LLMs to evaluate AI-generated content, matching human judgment 📖 spring.io/blog/2025/11/1… 🛠️ github.com/spring-project…
🚀Excited to share Spring AI 1.1.0-RC1 is available now. This includes OpenAI reasoning support, MongoDB chat memory, Ollama “thinking” mode, event-driven caching updates for MCP tools, bug fixes and other enhancements. Try it out as we get closer to GA -> spring.io/blog/2025/11/0…
Just showed how to build MCP clients with Spring AI! 🤖 Pull in multiple MCP servers to add context and functionality to your AI apps. Built a client using my DVAAS server to answer questions about my content that LLMs can't normally access. ✨ Watch: youtu.be/TSFkdlreRMQ
youtube.com
YouTube
Build AI-Powered Apps with MCP Clients in Spring AI
Measuring the performance of AI agents isn’t easy. The @SpringAICentral team is raising the bar for AI benchmarking with Spring AI Agents and Spring AI Bench because they: ✅ Focus on real-world development tasks ✅ Keep results reproducible 🚀 We’re excited to be working…
Self-Improving AI Agents with #SpringAI Recursive Advisors - enabling iterative AI workflows that can loop, validate and retry until goals are achieved Think of observable tool calling, evaluations, validation... agentic loops Find more: spring.io/blog/2025/11/0… @SpringAICentral
Looking forward to speaking at DevCon 2025! Quick walk through the journey from building a "monolithic" LLM-enabled AI app to re-working it into an MCP client-server architecture. 📅 November 5, 2025 📍 NORD Events Center by Globalworth dev-con.ro/agenda/8-java-… @SpringAICentral
🚀 Spring AI 1.1.0-M4 is here: 🧠 MCP Java SDK update to 0.15.0 🔁 Recursive Advisor Execution allowing multi-step AI workflows 📚 Anthropic Citations API ⚡ AWS Bedrock Prompt Caching 🗄️ Oracle ChatMemory Support, bug fixes and improvements. Dive in 👉 spring.io/blog/2025/11/0…
Some update about the OpenAI Java SDK implementation in @SpringAICentral - Embeddings ✅ - Images ✅ - Chat : under heavy development (this is by far the most complex) Details at: github.com/spring-project…
Spring AI's prompt caching support now extends to AWS Bedrock—covering both Claude models (accessed via Bedrock) and Amazon's Nova family. The same caching patterns work across both Anthropic's direct API and AWS Bedrock with minimal code changes. The key differences: Bedrock…
Spring AI now provides comprehensive support for Anthropic Claude's prompt caching through five strategic patterns that handle cache breakpoint placement automatically. Rather than manually managing cache control directives, you pick a strategy—SYSTEM_ONLY, TOOLS_ONLY,…
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