Bump org.springframework.ai:spring-ai-bom from 1.1.2 to 1.1.3

[dependabot]

Bumps org.springframework.ai:spring-ai-bom from 1.1.2 to 1.1.3.

Release notes

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

Spring AI 1.1.3 Release Notes

🎯 Highlights

This release includes 19 new features, 31 bug fixes, 23 documentation improvements, 25 other improvements.

📢 Noteworthy

• All deprecated Anthropic model names have been replaced with active model identifiers throughout the codebase and integration tests to maintain compatibility with Anthropic's API. 54f35dc

⭐ New Features

• Neo4j vector store now allows customization of the filter expression converter via the builder pattern, providing more flexibility for custom query filtering logic. 82bc777
• Introduces builder pattern for more flexible and readable construction of OpenAiSdkChatModel instances 982bc1e
• Adds support for custom embedding dimensions via '/embedding/embedding-model-dimensions.properties' configuration file for OpenAiEmbeddingModel a5359c7
• ToolCallAdvisor now supports streaming responses, enabling real-time function calling interactions 21dac8d
• SimpleVectorStore now supports filtering when deleting entries, providing more granular control over vector data management 7752ef8
• Added support for Anthropic Claude Skills API with unified API design and helper classes for skill integration #5299
• Added dimensions parameter support for Ollama embedding models, allowing control over embedding vector size #2713
• Enabled customization of JSON schema generation for structured outputs and function calling 4a8bdd7
• Mistral AI chat model now supports structured outputs using JSON schema validation, enabling type-safe responses with automatic conversion 76587fe
• New convenience method for easily retrieving system messages from Prompt objects a78d2e8
• Added Mcp*ServerCustomizer interfaces and fixed MCP auto-configuration to work properly in non-web environments #5261
• OllamaChatOptions now implements StructuredOutputChatOptions, enabling structured JSON output handling with comprehensive unit and integration tests a6ce0f6
• Added support for simple JSON format option in Ollama chat interactions 7b23ee2
• Enhanced model provider detection logic for Microsoft Foundry integration d4db917
• Chat memory advisors now support ToolResponseMessage, enabling better handling of tool responses in conversation history f74b04a
• Added support for dynamically augmenting tool schemas at runtime, enabling more flexible tool configuration and customization 6d310cc
• Added conversationHistoryEnabled option to ToolCallAdvisor, allowing users to control whether conversation history is included when making tool calls 4197b81
• Added support for configurable field names in Azure Vector Store, allowing users to work with existing Azure AI Search indexes that use custom field names instead of hardcoded defaults (content, embedding, metadata) 706f23e
• Added support for custom punctuation marks in TokenTextSplitter, enabling more flexible text splitting for various languages and use cases c0e279a

🪲 Bug Fixes

• Fixed and improved the FilterExpressionConverter for vector store operations, enhancing query filtering capabilities 5b67238
• Replaced disabled Azure OpenAI image model with the latest available version 9578d34
• Corrected the prefixAssistantMessage implementation in DeepSeekAssistantMessage 321314b
• Resolved an issue where token counts were not properly tracked for the first document when starting a new batch, ensuring accurate token usage reporting. cbc1432
• Document names are now properly sanitized to meet AWS Bedrock Converse API naming requirements, preventing API rejection errors. 924478b
• Ensures CosmosDB chat memory auto-configuration is applied first, resolving bean dependency and initialization order issues. 55a819b
• Resolved issues with Anthropic integration tests by updating to current model names. cc47474
• Adds ambiguity check and improves Google GenAI authentication logic to prevent configuration conflicts 29ca4a6
• Resolves issue where MetadataMode configuration was not being applied correctly when processing embeddings in batch mode 6fa8730
• Corrects filter expression grouping logic in OpenSearch vector store integration to ensure accurate query results 03be3bb
• Resolves issue where Bedrock cache metrics were not being properly included in the Usage object for monitoring and observability fc7d55d
• Corrected the filter expression syntax for IN and NOT IN operators in Elasticsearch integration d287c39
• Fixed message ordering issue in MongoChatMemoryRepository to ensure correct conversation history retrieval 52a5c76
• Fixed ToolCallAdvisor to correctly preserve system messages when memory is disabled de32dd2
• Corrected the observation provider usage for Google Generative AI embedding model to ensure proper metrics and tracing #5227
• Improved error handling in ChromaApi to properly catch and process exceptions f7ed9d1
• Modified tool descriptions to help models provide geographical coordinates correctly and polished integration test classes cf55714
• Corrected the chatClientEntityWithStructuredOutput integration test for Mistral AI 43479ac
• Resolved string parsing issue in grammar processing fe5c3f9
• Fixed missing Redis chat memory repository artifacts in Spring AI BOM b2cfd5e

... (truncated)

Commits

• 7bc46b5 Release version 1.1.3
• 5b67238 Vector store FilterExpressionConverter fix and enhancements
• d793364 Remove AnthropicApiLegacyToolIT
• 77adb53 Fix AnthropicApiLegacyToolIT
• 6f12ac9 Update vector store dependencies
• a802b72 Upgrade GemFire vectorstore image for the tests
• 9578d34 fix: AzureOpenAiImage replace disabled image model with the latest
• 18a661b Improve Mistal AI API Javadoc
• 321314b Fix DeepSeekAssistantMessage#prefixAssistantMessage
• dbcf55d Update checkstyle for the new copyright pattern
• Additional commits viewable in compare view

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

---

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

• @dependabot rebase will rebase this PR
• @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
• @dependabot show <dependency name> ignore conditions will show all of the ignore conditions of the specified dependency
• @dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
• @dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
• @dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)

[hawkbit-bot]

Thanks @dependabot[bot] for taking the time to contribute to hawkBit! We really appreciate this. Make yourself comfortable while I'm looking for a committer to help you with your contribution.
Please make sure you read the contribution guide and signed the Eclipse Contributor Agreement (ECA).