On behalf of the Spring AI engineering team and everyone who has contributed, I'm happy to announce that Spring AI 1.1.0-M4 has been released and is now available from Maven Central.

This patch release delivers important stability improvements and bug fixes.

Release Summary

This release includes 340 improvements, bug fixes, and documentation updates. The focus of this patch release is on:

• Improvements: 35 enhancements to expand capabilities and functionality
• Stability: 132 bug fixes addressing community-reported issues
• Documentation: 41 improvements to help developers

Thanks to all those who have contributed with issue reports and pull requests.

Key Highlights

• Significant functionality enhancements with 35 improvements
• Major stability improvements with 132 bug fixes
• Documentation updates with 41 improvements
• Updated dependencies for better security and performance

Key Functional Areas Enhanced

This release brings significant improvements across major functional areas of Spring AI:

• Model Context Protocol (MCP) 0.15.0 - Updated to MCP SDK version 0.15.0 with unified request context API, improved autoconfiguration for MCP tool initialization, and fixed tool callback provider injection issues
• Recursive Advisor Execution - Enabled advisors to call other advisors in a chain with configurable observations, allowing multi-step AI workflows with better monitoring capabilities
• Anthropic Citations API - Added support for retrieving source citations in model responses from Anthropic's Citations API, improving traceability of generated content
• OpenAI File API Integration - Added file upload and management capabilities for OpenAI models, enabling document handling within the OpenAI integration
• AWS Bedrock Prompt Caching - Enabled prompt caching for AWS Bedrock Converse API to reduce costs and improve performance for frequently used prompt
• Oracle JDBC Chat Memory - Added Oracle database support for ChatMemoryRepository, expanding conversation storage options alongside new H2 and SQLite dialect support

These enhancements strengthen Spring AI's capabilities across the entire AI application development lifecycle.

What's Next

The Spring AI team continues to focus on improving AI application development with Spring Boot. Based on the momentum from 1.1.0-M4, we target to release RC soon followed by 1.1.0-GA.

For the latest updates and to contribute to the project, visit our GitHub repository or join the discussion in our community channels.

Resources

Project Page | GitHub | Issues | Documentation | Stack Overflow 🙏 Contributors Thanks to all contributors who made this release possible:

• Alexandros Pappas (apappascs)
• ashakirin (ashakirin)
• Austin Dase (adase11)
• Christian Tzolov (tzolov)
• Christopher Miles (cmiles74)
• Daniel Garnier-Moiroux (Kehrlann)
• Dariusz Jędrzejczyk (chemicL)
• David Frizelle (dafriz)
• Dev Bulchandani (devbulchandani)
• Eric Bottard (ericbottard)
• fanxt0218 (fanxt0218)
• Forte Scarlet (ForteScarlet)
• guanxu (guanxuc)
• Hyeri1ee (Hyeri1ee)
• Hyoseop Song (loveysuby)
• Hyunsang Han (HyunSangHan)
• Ilayaperumal Gopinathan (ilayaperumalg)
• Issam El-atif (ielatif)
• jacquicollier2-eng (jacquicollier2-eng)
• James Ward (jamesward)
• Jared Rufer (emopti-jrufer)
• Jemin Huh (JM-Lab)
• Jian (jiafu1115)
• Jonatan Ivanov (jonatan-ivanov)
• kuntal1461 (kuntal1461)
• lance (leehaut)
• liugddx (liugddx)
• Mark Pollack (markpollack)
• Martin Kamp Jensen (mkjensen)
• Mattia Pasetto (wilocu)
• MoGreene (Mo-Greene)
• NathanGrand (q-nathangrand)
• Nicolas Krier (nicolaskrier)
• Oleksandr Klymenko (alxkm)
• Pawel Potaczala (centrumek)
• Philip I. Thomas (philipithomas)
• Sandra Ahlgrimm (SandraAhlgrimm)
• Soby Chacko (sobychacko)
• Suganthi Thomas (SuganthiThomas)
• Sun Yuhan (sunyuhan1998)
• Thomas Vitale (ThomasVitale)
• Tran Ngoc Nhan (ngocnhan-tran1996)
• vdm24 (vdm24)
• Viacheslav Dobrynin (viacheslav-dobrynin)
• Wenli Tian (jamespud)
• Willams (nnam-droid12)
• Yaner (yaner-here)
• Yanming Zhou (quaff)
• YunKui Lu (YunKuiLu)
• Łukasz Jernaś (deejay1)