Bump org.springframework.ai:spring-ai-bom from 2.0.0-M1 to 2.0.0-M2

[dependabot]

Bumps org.springframework.ai:spring-ai-bom from 2.0.0-M1 to 2.0.0-M2.

Release notes

Sourced from org.springframework.ai:spring-ai-bom's releases.

Spring AI 2.0.0-M2 Release Notes

🎯 Highlights

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

⏪ Breaking Changes

• 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

⚠️ Upgrading Notes

• 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

⭐ New Features

• 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
• Added support for Amazon Bedrock Knowledge Base as a vector store, enabling integration with AWS's managed knowledge base service 21c3834
• Enhanced the Redis semantic cache module with improved functionality and performance 7233e8d
• Made the content field name configurable in QdrantVectorStore, allowing customization of the field used to store document content f65756e
• Added a convenience method to the Prompt class for easily retrieving system messages 8a79390
• Added native support for structured outputs using JSON schema validation in the Mistral AI chat model, enabling type-safe responses with automatic schema enforcement. 8757c5b
• OpenAI moderation, audio speech, and audio transcription API paths are now configurable, allowing customization for proxy setups or alternative OpenAI-compatible endpoints. 1d38aec
• Migrated to use Spring Boot 4's native MongoDB Atlas container support for improved testing and development experience. 5b39fbb
• Introduced Mcp*ServerCustomizer interfaces to allow customization of MCP server configurations #5261
• Added new Redis-based semantic cache advisor implementation, enabling intelligent caching of semantically similar queries to improve performance and reduce API calls 391cbbb
• OllamaChatOptions now implements StructuredOutputChatOptions with corresponding methods, unit tests, and integration tests. Enhanced JSON format handling for Ollama chat options 163df2e
• Improved model provider detection logic for Microsoft Foundry integration, providing better model identification and configuration support 5c18a40
• Add support for dynamic tool schema enhancement, allowing runtime modification of tool argument definitions for more flexible function calling 3c4b6dc
• Add conversationHistoryEnabled option to ToolCallAdvisor, providing finer control over whether conversation history is included in tool call contexts 5ad8485
• Add JSpecify annotations to commons module for improved null-safety analysis and compile-time verification #5101

🪲 Bug Fixes

• 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
• Fixed failing Ollama integration tests by modifying tool descriptions to better guide the model in providing geographical coordinates 864487f
• Enhanced JdbcChatMemoryRepositorySchemaInitializer for improved database schema setup d202db1
• Corrected string parsing issues in the grammar implementation 8ecc334
• Corrected invalid Filter.Expression constructor usage in documentation examples #5243
• Resolved checkstyle violations in Redis auto-configuration code to maintain code quality standards 07ccd2c
• Resolved token count inconsistencies in Ollama integration tests that occurred with varying model versions c2dfedb

... (truncated)

Commits

• 88cb2ea Spring AI BOM updates
• 3e299e4 Fix maven deployment metadata for the new modules
• 77b2262 Fix javadoc upload workflow to use the aggregate:jar approach
• 2bc79b6 Release version 2.0.0-M2
• d81e47d Upgrade MCP SDK to 0.17.2
• 9fa0b8a Unify Anthropic Skills API and rename helper class (#5299)
• 1dac9d0 Fix ToolCallAdvisor to preserve system message when memory disabled
• f7eeaf9 Add default paths for OpenAI audio API endpoints
• 4bd83ba feat(spring-ai-ollama): Add the dimensions parameter for the Ollama Embedding...
• 0c60e78 fix: use correct observation provider for Google Gen AI emb model (#5227)
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