Spring AI 2.0.0-M2 Release Notes

🎯 Highlights

This release includes 20 new features, 20 bug fixes, 16 documentation improvements, 38 other improvements.

The Anthropic Skills API has been unified and helper classes have been renamed, which may require code changes if you're using the Anthropic integration directly #5299
The SemanticCache interface has been relocated from the Redis-specific package to a more generic package location, which may require import statement updates for applications directly using this interface. #5284
The Couchbase vector store classes have been relocated to a new dedicated package structure. Applications using Couchbase vector store will need to update their import statements. #5233

If you are using the Anthropic Skills API directly, review your code for the renamed helper classes and update accordingly #5299
If you are using the Couchbase vector store, update your import statements to reference the new dedicated package location. #5233

Ollama embedding models now support configuring the dimensions parameter, allowing control over the size of generated embeddings 4bd83ba
JSON schema can now be customized, providing more flexibility for structured output generation 3119086
Default API endpoint paths are now configured for OpenAI's content moderation API, simplifying integration setup #5300
Default API endpoint paths are now configured for OpenAI's audio API (speech and transcription), making it easier to use audio capabilities f7eeaf9
Added support for using Amazon S3 as a vector store backend for storing and retrieving embeddings cd86d38
Integrated Infinispan as a new vector store option, providing distributed in-memory data grid capabilities for embedding storage 9b105b8

Resolved an issue where ToolCallAdvisor would not preserve system messages when memory functionality was disabled 1dac9d0
Fixed incorrect observation provider usage in the Google GenAI embedding model implementation #5227
Corrected conditional logic in Infinispan AutoConfiguration to ensure proper bean creation #5295
Resolved issues in the MistralAiChatModelIT.chatClientEntityWithStructuredOutput integration test to ensure proper validation of structured output functionality. cf2212b
Corrected code style violations in the spring-ai-redis-semantic-cache module to maintain code quality standards. 0108011
Fixed MCP auto-configuration to work properly in non-web application contexts #5261
Improved exception handling in the ChromaApi for better error reporting e291712

Updated documentation for Prompt-related functionality 190fe98
Added documentation for the configurable content_field_name feature in Qdrant vector store 002a208
Added documentation for the new configuration properties that allow customization of OpenAI speech, transcription, and moderation API endpoints. f8ad209
Updated documentation to cover the native structured output converter functionality for Mistral AI models. a9f49a0
Added comprehensive documentation for the new Redis semantic cache feature, including configuration and usage examples 77e115f
Corrected duplicated step numbering in RetrievalAugmentationAdvisor documentation for improved clarity #5160
General typo corrections throughout documentation

Updated the Model Context Protocol (MCP) SDK dependency to version 0.17.2 d81e47d
Updated Spring Boot dependency to version 4.0.1 5f1e021
Updated Mistral AI chat model enumeration to reflect latest available models b77202c
Updated OpenAI Java SDK dependency to version 4.13.0, bringing latest improvements and compatibility updates #5187

Updated static analysis tools NullAway and Error Prone to their latest versions for improved code quality checks d232c82
Migrated S3 Vector Store to use JSpecify nullability annotations for improved null safety 24aeed5
Made ResponseErrorHandler configurable as an optional bean for more flexible error handling daa08c8
Added JSpecify nullability annotations to document-readers modules to improve null-safety and IDE support. #5287
Added JSpecify nullability annotations to the RedisSemanticCache module for better null-safety guarantees. #5284
Added JSpecify null-safety annotations to Redis, Weaviate, Typesense, Qdrant, Pinecone, pgvector, Oracle, OpenSearch, Neo4j, and MongoDB Atlas vector store modules to improve type safety and IDE support #5268
Added JSpecify null-safety annotations to Milvus and additional vector store modules for improved type safety ,

Thanks to all the community contributors who made this release possible: