Spring AI

Official X account for Spring AI from @SpringCentral

[Spring AI @SpringAICentral]

Spring AI 2.1.0-RC2 is available now. It brings support for DecisionModel, tool call argument streaming, you own embeddings in more vector stores and server support for the latest MCP protocol version (2026-07-28)
https://t.co/d27WoupBg5

[CrAIg Walls @habuma]

Your Spring AI app can now write AND execute Python code in the cloud!

In this recipe, we use OpenAI's hosted Code Interpreter (and even peek at the Python it generated!)

https://t.co/ZAI81gK2Xl

#SpringAI #OpenAI #CodeInterpreter #HostedTools #Python

[Josh Long @starbuxman]

A nice post, “Spring AI 2.1 Message Parts: Reasoning That Survives the Round Trip” from new team member Dimitar Proynov

https://t.co/4zYZJGR1mJ

[Spring AI @SpringAICentral]

Spring AI 2.1.0-RC1 and 2.0.2 are available now. Spring AI 2.1.0-RC1 includes session memory, tool call confirmation, Qxotic jinfer support , enhancements and bug fixes. More on this here: https://t.co/ovrQG718Rn

[Christian Tzolov🇧🇬🇪🇺🇺🇦 🦋@tzolov.bsky.social @christzolov]

Spring AI Advisers explained at @Devoxx by Timo

[CrAIg Walls @habuma]

Run System One models locally with Spring AI! In this recipe, see how Nimble and Laya deliver fast, focused AI judgments without a general-purpose LLM.

https://t.co/2gaKlqfjrQ

#SpringAI #Java #SystemOne #LocalAI #Ollama #Nimble #Laya

[Sandra Ahlgrimm @sKriemhild]

Next full room at Timo Salms lunch break session on SpringAI
@Devoxx @SpringAICentral @salmto

[Spring AI @SpringAICentral]

Spring AI 2.1.0-M1 is out 🍃

🧩 Message parts: ordered text, reasoning, tool calls & media
🤖 OpenAI Responses API: reasoning + tool calling on GPT-5.4+
📥 VectorStore.upsert() for pre-computed embeddings

Feedback welcome: https://t.co/OsokDRcxjr

#SpringAI #Java

[Dan Vega @therealdanvega]

Here is a model router using Spring AI and the new TypeSafe AI Starter from the Spring AI Community

https://t.co/Bj1cKdChq8

[Josh Long @starbuxman]

Spring AI and TypeSafe Jev: Fast, Cheap, Structured Decisions

https://t.co/dYWaNcWCxz

[Christian Tzolov🇧🇬🇪🇺🇺🇦 🦋@tzolov.bsky.social @christzolov]

Java SDK + #SpringAI integrations for @typesafeai 's Jev.
Not a chat model! Send it a state and typed questions, get numbers back with a confidence, in ~300 ms.
Judge, self-refine + guardrail advisors, RAG triage, tool selection and more.
https://t.co/Nb4Mp9TLgO

[CrAIg Walls @habuma]

How local can a local LLM get? With ModelJars and Models, you can skip the model server entirely and run inference inside the same JVM as your Spring AI application.

See how in this Spring AI Recipe!

https://t.co/MGaWFgJrZB

#SpringAI #Java #LocalLLM #GenerativeAI #ModelJars

[Josh Long @starbuxman]

🚀 This week in Spring: multitenancy with Spring Security + OAuth, fresh Spring AI agent patterns, ReAct and graph-based workflows, privacy guardrails, null-safety with JSpecify, and more. If you’re building with Spring, you’ll want this roundup. 👇 https://t.co/8Axhk7C7SZ

[CrAIg Walls @habuma]

Graph-based workflows give you explicit control over how an agent moves from one task to the next. In this recipe, see how to build graph-based workflows with LangGraph4j and Spring AI.

https://t.co/zXWhHi5QhX

#SpringAI #LangGraph4j #AgenticAI #Java

[Rod Johnson @springrod]

Embabel 1.0.0 is GA!!

https://t.co/UH7Uy3jSZN

Thanks in particular to @igordayen and @aheifetz for leading the charge, and to our many community contributors. Open source rocks!

Come see just how nice AI on the JVM can be.

@java @springcentral

https://t.co/14AAb8VzwJ

[Siva @sivalabs]

Spring AI 2.0 brought a lot of new features. So, I thought of starting a new series of articles. The first one is published.

Spring AI : Chat with LLMs
https://t.co/KAazDZh9zj

#Java #SpringBoot @SpringAICentral

[Vadym Kazulkin @VKazulkin]

New blog post alert 🚨
Today, the Embabel went GA. Please check out my new series:
"Building AI Agents with Embabel, @SpringAICentral and Amazon Bedrock AgentCore – Part 1 Introduction to the series".
https://t.co/nOVAKWKcMM
@java @springboot @springcentral #mcp #agenticai #aws

[CrAIg Walls @habuma]

Keep your AI's memory alive across restarts. Learn how to persist Spring AI chat memory with JDBC and PostgreSQL so conversations survive and can be shared across application instances.

https://t.co/gkibQYE1N7

#SpringAI #SpringBoot #Java #PostgreSQL #JDBC #LLM #GenAI

[Dan Vega @therealdanvega]

Can you use Java for AI? Yes. And if you're building AI into real applications instead of training models, it might be the better choice.

The training era belonged to Python. The integration era looks a lot like the JVM.

https://t.co/suh7ymF3jx

[Vadym Kazulkin @VKazulkin]

New blog post alert 🚨
"Building AI Agents with Spring AI and Amazon Bedrock AgentCore – Part 8 Use Spring AI AgentCore long-term Memory for MCP client on AgentCore Runtime".
@java #AWS @springboot #agenticai #mcp @SpringAICentral
https://t.co/yXuY23Go7j