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This PR contains the following updates:

Package Change Age Adoption Passing Confidence
org.springframework.ai:spring-ai-bom 1.0.1 -> 1.1.0-M2 age adoption passing confidence

Release Notes

spring-projects/spring-ai (org.springframework.ai:spring-ai-bom)

v1.1.0-M2: Spring AI 1.1.0-M2

Compare Source

Spring AI 1.1.0-M2 Release Notes
🎯 Highlights

This release includes 16 new features, 12 bug fixes, 6 documentation improvements, 22 other improvements.

⭐ New Features
  • Added support for response schema validation in VertexAI Gemini Chat Model for structured output generation 31423e9
  • New integration with Mistral AI's OCR (Optical Character Recognition) API for document and image text extraction 0c1a089
  • Added comprehensive hardware, memory, performance and execution options for Ollama embedding models eba2cec
  • Added Testcontainers service connection support for docker/mcp-gateway to improve testing capabilities 4d0206b
  • Added Google GenAI artifact entries to Spring AI Bill of Materials for improved dependency management ae59953
  • Added support for thinking and response_format parameters to the ZhipuAI chat model integration, enhancing the model's capabilities and output formatting options cae6364
  • Added Docker Compose service connection support for MCP Gateway, improving containerized deployment capabilities 60a27a8
  • Added support for new ZhiPu models GLM-4.5 and GLM-Z1 5f984fb
  • Added 'enable' property for Bedrock Cohere chat configuration 9442c35
  • Added requestMetadata support to Bedrock converse requests for enhanced request tracking 45baa39
  • Aligned EmbeddingOptions builder pattern with ChatOptions for consistent API experience 14d6f58
  • Added builder pattern support for AssistantMessage creation f4a1c96
  • Added support for the new glm-4.1v-thinking-flash model in the ZhipuAI integration 49506de
  • Made OpenAI API available as a bean for injection, enabling easier integration and customization f41c27d
  • Implemented cache management for Anthropic API with eligibility tracking for improved performance and resource optimization 1d5ab9b
  • Added extended token usage metadata and Cached Content API support to Google GenAI (Gemini) for enhanced performance monitoring and content caching capabilities 6cf3b4b
🪲 Bug Fixes
  • Fixed issues with stateless Model Context Protocol (MCP) server registration to ensure proper connection handling 1b3705f
  • Replaced expired @​SpyBean annotation with @​MockitoSpyBean for improved testing compatibility #​3446
  • Prevented out-of-range errors when merging tool calls in the OpenAI integration 6697589
  • Optimized EmbeddingUtils.toPrimitive(List) method for better performance d1133dc
  • Improved method parameter naming in ChatClient.Builder.defaultAdvisors() for better developer experience #​3856
  • Fixed handling of default implementation for ToolCallback#call(String,ToolContext) method to improve tool integration reliability 3e17e16
  • Fixed Ollama to properly use system role for system messages instead of user role #​4364
  • Corrected wrong checkstyle automated changes that were improperly applied f3aab2f
  • Refactored OllamaChatModel to support custom AbstractMessage implementations and align with other ChatModel implementations 8968df7
  • Fixed DeepSeekChatModel initialization to use builder pattern for consistent API design cb4f356
  • Improved configuration metadata generation for IDE auto-completion support b5a37b6
  • Fixed VertexAI Gemini chat model tool calling integration test for inferred OpenAPI schema streaming 3c57027
📓 Documentation
  • Fixed documentation for ChatClient responseEntity() method to provide accurate usage examples and guidance #​4386
  • Fixed and improved ZhipuAI chat model documentation in zhipuai-chat.adoc #​4387
  • Updated tests and documentation to use DockerModelRunnerContainer for improved container-based testing guidance c7b7d69
  • Improved MCP (Model Context Protocol) documentation and added comprehensive getting started guide 07688d5
  • Updated MCP reference documentation with minor improvements and clarifications e776129
  • Fixed OCI Cohere documentation property prefix to spring.ai.oci.genai.cohere.chat ce09cb5
🔨 Dependency Upgrades
  • Updated Model Context Protocol (MCP) related dependencies to latest versions #​4415
  • Upgraded Spring Boot framework dependency to version 3.5.6 for latest features and security updates 820cc79
  • Updated to Spring Boot 3.5.5 for latest features and security improvements #​4408
  • Updated Google GenAI dependencies to their latest versions for improved functionality #​4398
  • Updated MCP from version 0.12.1 to 0.13.0-SNAPSHOT #​4403
  • Changed HSQLDB dependency scope from runtime to test for chat memory JDBC autoconfiguration #​4366
  • Updated MCP SDK to version 0.13.1 and mcp-annotations to 0.4.1 for latest features and improvements 0c8b6dc
⚡ Performance
  • Optimized performance by using AssistantMessage#builder() pattern instead of direct instantiation, reducing object creation overhead 1decd34
  • Refactored request creation logic for Mistral AI chat model to improve efficiency and maintainability f9d87fd
  • Simplified assistant message extraction using Optional chaining for cleaner code 356fced
  • Optimized ZhiPu Embedding to support batch embedding operations for improved performance b7f231a
🔩 Build Updates
  • Separated OllamaOptions into distinct Chat and Embedding Options classes for better modularity f908aa1
  • Added comprehensive edge case and boundary testing for Google Generative AI components to improve reliability 63ba02a
  • Enhanced MCP tool name prefix generation with automatic duplicate handling for better tool management 31db86d
  • Defined explicit version for maven-gpg-plugin to improve build reproducibility #​4320
  • Added comprehensive test coverage for runtime hints and bindings processors #​4402
  • Added comprehensive edge case tests for ChatModel, ListOutputConverter, and ToolExecutionResult components to improve code reliability #​4389
  • Added comprehensive tests for OpenAI API builder, mutation, and streaming functionality to ensure robust integration 0b1a52f
  • Polished MCP (Model Context Protocol) related configuration properties bean implementation 4889131
  • General code cleanup and maintenance improvements 0b3e902
  • Added comprehensive test coverage for PromptMetadata functionality and VertexAI embedding retry mechanisms ae0c418
  • Corrected Maven command configuration in the documentation upload GitHub action c2103b0
  • Added comprehensive runtime hints validation for Ollama GraalVM native image support 17b9211
  • Added AOT (Ahead-of-Time) compilation support for MCP annotations to improve native image compatibility 5be4330
🙏 Contributors

Thanks to all contributors who made this release possible:

v1.1.0-M1: Spring AI 1.1.0-M1

Compare Source

Spring AI Next Release Release Notes
🎯 Highlights

This release includes 47 new features, 106 bug fixes, 70 documentation improvements, 120 other improvements.

⏪ Breaking Changes
  • Auto-configuration classes for Model Context Protocol (MCP) have been renamed with 'Mcp' prefix for consistency 21c4283
  • maxTokens and maxCompletionTokens parameters are now mutually exclusive in OpenAI ChatOptions, requiring users to choose one option 13c39f1
  • Changed UserMessage to use metadata instead of properties for better API consistency #​3980
  • Extracted VectorStoreRetriever interface from VectorStore which may require code updates for custom implementations #​3827 via #​1290
⚠️ Upgrading Notes
  • Update imports for MCP auto-configuration classes that have been renamed with 'Mcp' prefix 21c4283
  • When configuring OpenAI ChatOptions, ensure you use either maxTokens or maxCompletionTokens, but not both simultaneously 13c39f1
  • Update code to use metadata instead of properties when working with UserMessage objects #​3980
  • Custom VectorStore implementations may need to be updated to implement the new VectorStoreRetriever interface #​3827
📢 Noteworthy
  • Removed support for the deprecated Mistral AI Codestral Mamba model as part of code cleanup #​4225
  • Significantly improved test coverage for MistralAiBindingsPropertiesProcessor to ensure robust MistralAI integration #​4165
  • Improved test coverage for EmbeddingModelObservationContext and SyncMcpToolCallback edge cases to ensure better reliability #​4157
  • Significantly improved test coverage for QdrantObjectFactory.toObjectMap, SimpleVectorStore filter conditions, and various other components #​4095
  • Removed hardcoded topK value in BedrockConverseProxyChatProperties for better configuration flexibility #​3621
  • Refactored MessageAggregator to properly handle and include tool calls in message aggregation df90b9c
  • Cleaned up QdrantVectorStoreIT by removing unnecessary environment variable validation #​3615
  • Temporarily reverted a fix for OpenAI function callback integration test 3bce15a
  • Temporarily reverted a parameter order fix in validateToolContextSupport method f0c128c
  • Temporarily reverted changes to resolve OpenAI API key for every request due to compatibility issues 313aae0
⭐ New Features
  • Tool callbacks now expose the original tool name in both synchronous and asynchronous operations, providing better visibility into tool execution 6678035
  • Added support for sending labels with chat requests in Google Generative AI integration 1dd686b
  • Added comprehensive annotation-based configuration support for Model Context Protocol (MCP) clients and servers 534c6af
  • Added support for OpenAI service_tier parameter in OpenAiChatOptions to enable control over service quality levels ad2e1bc
  • Refactored MCP (Model Control Protocol) server auto-configuration to use consolidated modules with protocol-based configuration approach e71da4e
  • Added missing Spring Boot starters for Google GenAI integration, enabling easier autoconfiguration 528155a
  • Improved Unicode property union handling for robust Chinese character processing 35486e9
  • Use latest CI scripts when testing old commits for improved testing reliability a9f93b0
  • Restructured MCP server auto-configurations and added streamable-http support for improved streaming capabilities 0b96f4c
  • Added support for new GPT-5 models with verbosity parameter configuration #​4086
  • Added comprehensive debugging capabilities to improve maintenance branch workflow reliability and troubleshooting 3ce6d38
  • Added support for fast CI builds when cherry-picking changes to maintenance branches 29ac7d9
  • Added autoconfiguration for MCP client with support for async HTTP request customization 7ad7150
  • Configured McpSyncServer to use immediate execution when running in a servlet context 568ca96
  • Added support for GPT-5 model enum with updated documentation 1a3ed95
  • Added KotlinModule support and tests for schema generation in BeanOutputConverter to improve Kotlin integration #​3900
  • ChatClient now supports adding metadata to both PromptUserSpec and PromptSystemSpec, enabling richer message context and processing capabilities #​3989
  • Added Google GenAI embedding module with unified SDK support for enhanced integration capabilities 085446c
  • Added ability to use custom templates with KeywordMetadataEnricher for enhanced metadata enrichment capabilities c122fe1
  • Added new spring-ai-google-genai module using Google's latest GenAI SDK for improved Google AI model integration daf1274
  • Added log probabilities support for Vertex AI Gemini models e557081
  • Added streamable HTTP transport support for Model Context Protocol (MCP) client 656395e
  • Added BedrockChatOptions to Bedrock integration for improved configuration 99e59a2
  • Introduces a standardized interface for audio transcription across different model providers 4cf2377
  • Enhances ZhiPu AI integration with fluent builder pattern for easier configuration d865c9e
  • ZhiPuAI embedding model now supports configurable custom dimensions #​3668 via #​1857
  • Added configuration option for meta field prefix in Weaviate vector store properties #​3585
  • Improved function capabilities through @​Tool annotation improvements for better function calling integration 22fc730
  • Enhanced MistralChatOptions with updated configuration capabilities a2a92bb
  • Added selective exception rethrowing capability to DefaultToolExecutionExceptionProcessor for better error handling control beb1d05
  • ChatClient#mutate now creates copies of advisors and advisorParams instead of referencing the originals f391ff2
  • Made the content field configurable in Weaviate vector store properties to provide more flexibility in vector store configuration 24de06e
  • Added integration with ElevenLabs for text-to-speech functionality 9398850
  • Expanded Mistral AI integration with support for additional chat models #​3523
  • Enhanced OllamaChatModel with retry template support for improved reliability cfbefee
  • Improved MiniMaxChatOptions with proper equality methods and deep copy functionality d9e3037
  • Added support for streaming thinking events in the Anthropic model provider, enabling real-time access to model reasoning processes 12f19db
  • Enhanced OpenAI integration with updated supported voice enums for text-to-speech and chat completions #​3411
  • Neo4j module now automatically determines default embedding dimensions from the model cb97d9c
  • Added support for dynamically providing API keys for Anthropic requests on a per-request basis 0a1cf81
  • Added support for the latest Claude Opus-4 and Sonnet-4 models in the Anthropic chat model integration #​3351
  • Enhanced OpenAI integration to support PDF files as media input for chat models 1f2bd08
  • Added MySQL database schema support for the SPRING_AI_CHAT_MEMORY table 9f58520
  • Improved handling and testing of complex metadata values in Chroma vector store integration 7466cb9
  • Added comprehensive metadata support for various vector store types to enable richer data storage and retrieval f78b549
  • Added configurable exception handling mechanisms for tool execution to improve error management and debugging capabilities 6f61fee
  • Added comprehensive integration tests for Chat Memory functionality when using SQL Server as the backend 4cac3ff
🪲 Bug Fixes
  • Resolved issue with toolAnnotationWeatherForecast test in BedrockNovaChatClientIT 58a527d
  • Resolved code style violations to maintain code quality standards 01c4b14
  • Corrected spelling error in STATELESS constant reference deffe80
  • Cleaned up unnecessary exception handling in JDBC chat memory implementation #​4288
  • Resolved issue with FunctionCallWithPromptFunctionIT test for Anthropic provider c8a75ab
  • Resolved streamFunctionCallUsageTest failure in AzureOpenAiChatModelFunctionCallIT 7840139
  • Fixed chatCompletionStreamError handling in AnthropicApiIT integration tests e1228a7
  • Removed unnecessary null checks in template variable validation logic #​4104
  • Resolved reordering problems in AzureOpenAi chat model implementation that affected message processing #​4156
  • Enhanced error handling in ToolCallingAutoConfiguration to only log class names on ClassNotFoundException for better debugging befaf87
  • Resolved null pointer exception that occurred when converting MCP tools to async tool specifications 36a97d3
  • Fixed issues with calling stateless MCP (Model Control Protocol) tools 1df5f5c
  • Cleaned up duplicate code in AzureOpenAiChatOptions class c9ad1c7
  • Replaced SimpleDateFormat with thread-safe DateTimeFormatter to prevent concurrency issues b4348e6
  • Resolved issues with MCP client auto-configuration tests and added comprehensive documentation 2c6e448
  • Fixed test execution to only run tests for affected modules, not their dependencies, improving build efficiency 97eb1c9
  • Correctly exclude root module from affected modules list and handle empty string cases properly 77a704f
  • Prevent root module from appearing in affected modules list during build processes b8eac35
  • Add -am flag to properly build required dependencies during the build process 8f45ca1
  • Fixed main-push-fast workflow module detection and prevented recursive triggers to ensure stable CI operations b9cc239
  • Simplified commit SHA checkout to avoid git fetch issues and added enhanced run context a8cf2c9
  • Resolved infinite recursion in MongoDbAtlasLocalContainerConnectionDetails.getSslBundle() method #​4149 via #​4133
  • Corrected issue where actual model version used for chat was not being returned properly #​4152
  • Properly handle merge operations when 'current' parameter is null #​4153
  • Resolved NullPointerException when metadata is null in MilvusVectorStore operations #​4116 via #​4115
  • Fixed metadata immutability issue in Azure AI Search vector store implementation #​4131 via #​4117
  • Improved bean naming convention for streamable HTTP WebFlux client transports #​4146
  • Resolved an issue where empty string finish_reason values in OpenAI streaming responses were not handled correctly #​4132 via #​1358
  • Resolved flaky test issues in streaming response aggregation functionality #​4135 via #​4134
  • Fixed maintenance branch detection to prioritize branch detection over explicit base_ref configuration f80a71c
  • Streamlined git operations to use 'git show HEAD' approach for better maintenance branch handling 007809b
  • Fixed excessive CI triggering and git history issues on maintenance branches c5d2ccd
  • Added fail-fast fallback mechanism and single-commit git diff strategy for improved reliability cfd9095
  • Improved retry handling for ResourceAccessException when encountering network connectivity issues #​4094
  • Enhanced null checking using Optional to prevent NullPointerException occurrences #​4063
  • Enhanced null checking using Optional to avoid NullPointerException #​4064
  • Use Map#putAll instead of individual put operations for better performance #​4062
  • Added strict option to Azure ChatCompletionsJsonSchemaResponseFormat to fix JSON schema handling #​3931
  • Fixed pass check behavior for evaluators and prevented null pointer exceptions #​3975
  • Similarity searches with the MariaDBVectorStore now properly provide similarity scores 891ef2a
  • Eliminates one deserialization step in the majority of scenarios when parsing model responses, improving performance when handling JSON string parameters #​4003
  • Properly rethrow ToolExecutionException for non-RuntimeException cases, ensuring consistent exception handling behavior #​3915
  • Tool function runtime exceptions are now properly wrapped in ToolExecutionException and re-thrown for better error handling and debugging #​3918 via #​2857
  • Corrected documentation and code comments for the Model Context Protocol (MCP) Client and Server components #​4011 via #​4010
  • Improved null checking in DefaultChatClient using Optional for better safety #​3976
  • Enhanced code quality with better empty checks, method references, and pattern matching usage #​3977 #​3978 #​3979
  • Corrected example code in documentation to ensure accuracy for users #​3993
  • Resolved issues with Maven Central publication process 8366fa8
  • Made embedding options builder methods consistent across Bedrock providers for improved developer experience #​3906
  • Corrected spelling of frequencyPenalty property in Google builders for proper parameter handling 128c45a
  • Fixed continuous integration failures to improve build stability and reliability #​3844
  • Fixed issue where method tool calls would throw errors when multiple methods had the same name #​2774
  • Resolves issues in MCP server auto-configuration integration tests #​3792
  • Resolves null pointer exception in Anthropic API streaming functionality #​3755 via #​3740
  • Corrects SystemPromptTemplate builder to return proper SystemPromptTemplate.Builder instead of generic PromptTemplate.Builder dbaa608
  • Resolves parameter ordering issues in JSON schema generation functionality #​3733
  • Corrected annotation package configuration issues #​3716
  • Fixed issue where audio filename was lost when requesting OpenAI /transcriptions and /translations interfaces af07517
  • Fixed issue preventing streaming tool calling responses when internal execution is enabled for Anthropic provider 879c5e2
  • Added validation for documents text/media check when adding to vector store #​3687 via #​3609
  • Corrected assert message in SimpleApiKey for better error reporting #​3656
  • Fixed various typos throughout the codebase for improved clarity #​3695
  • Removed unused configuration options from ZhiPu AI model implementation #​3669
  • Removed incorrect @​Nullable annotation from VectorStore similaritySearch method #​3613
  • Fixed incorrect changes in Ollama auto-configuration that were causing issues #​3645
  • Fixed getTextBetweenParagraphs method to properly handle invalid page numbers in outline items d92a2ea
  • Corrected naming inconsistencies in the Mistral package for better consistency #​3652
  • Removed unnecessary null check in OpenAiApi.Builder#apiKey(String) method #​3654
  • Added required license header to FileDocumentWriterTest class #​3651
  • Resolved issue with streaming tool calls that have no input parameters in Anthropic integration f575051
  • Fixed streaming tool calling functionality when no input arguments are provided in Bedrock integration 8107612
  • Corrected autoconfiguration class name and added ElevenLabs speech documentation link #​3610
  • Prevents incorrect ToolCall merging caused by empty id and name strings in DeepSeek integration d61192a
  • Resolved exception in OpenAiAudioTranscriptionResponseMetadata.toString method that was causing runtime errors #​3575
  • Resolved infinite recursion issue in getMimeType(Path) method that could cause stack overflow errors ab04e27
  • Resolved test failure in ChromaVectorStoreAutoConfigurationIT due to updated exception message #​3581
  • Corrected logic for determining output modalities when using streaming mode d9a5337
  • Improved logging for ChromaDB collection creation to provide clearer feedback 0d8eebd
  • Enhanced error handling in McpToolCallback to properly handle root exceptions d6924b6
  • Resolved issue preventing proper generation of configuration metadata for Spring AI tools observations #​3539 via #​3550
  • Corrected parameter order in ClassUtils.isAssignable call within validateToolContextSupport method 76c7018
  • Resolved test configuration issues in Ollama embedding auto-configuration tests 66324a6
  • Corrected similarity option parsing in ElasticsearchVectorStore for proper functionality f8d0503
  • Corrected version alignment for ElevenLabs starter and autoconfiguration artifacts 15775f1
  • Refactored parameter naming for better code clarity in ChatGenerationMetadata #​3507
  • Resolved configuration issue where embeddingFieldName was not properly set when configuring ElasticsearchVectorStore #​3501 via #​3500
  • Corrected issue where Bedrock Titan embeddings were not returning proper usage statistics c4e434a
  • Corrected parameter order error in validateToolContextSupport method that was causing incorrect validation results 59d2661
  • Improved logic for checking functional types in MethodToolCallbackProvider to properly identify function implementations fe4f0d1
  • Resolved SQL error in the isTableExists method of MariaDBSchemaValidator that was preventing proper table validation b925c50
  • Resolved issues in OpenAiChatClientMethodInvokingFunctionCallbackIT test to ensure proper integration testing 95b3df7
  • Fixed Qdrant vector database integration to properly handle Long type values in payload by converting them to String f0d4cbf
  • Fixed OpenAiChatOptions to properly support transfer of webSearchOptions 4621c81
  • Refactored QdrantObjectFactory to properly handle null metadata values 8b45f41
  • Fixed missing properties in the ChromaVectorStore AutoConfiguration that were preventing proper initialization #​3435 via #​3427
  • Added compatibility for Spring Framework 7.x to RetryUtils ResponseErrorHandler #​3416 via #​3415
  • Resolved issue where an extra system message was incorrectly added when the system message was not the first one in the message list 902fc09
  • Removed unreachable code branch that could cause confusion in chat memory advisor logic #​3395
  • Avoided unnecessary looping through all page tree when there is no destination page in PDF document reader #​3396
  • Fixed null pointer exception when accessing duration metadata from Ollama chat model responses 72fe3bf
  • Corrected the CustomerTools documentation example to reference proper existing methods #​3390
  • Added protection against empty unicode strings during PDF document processing #​3271 via #​3054
  • Fixed issue where already valid JSON strings were being double-serialized in JsonParser.toJson method 18ae16e
  • Corrected typo in ToolCallback class to improve code clarity #​3352
  • Resolved critical connection leak issue when using JdbcChatMemoryRepository that could cause resource exhaustion #​3283 via #​3281
  • Updated useAutoConfiguredJdbcChatMemoryRepository test to work correctly after the connection leak fix 029e8a1
📓 Documentation
  • Comprehensive documentation for the new Spring AI Google GenAI integration modules e26120a
  • Corrected git log command syntax in project documentation #​4272
  • Updated tools.adoc documentation with latest information #​4278
  • Improved documentation for Docker services setup and configuration #​4253
  • Updated project README with latest information and improvements #​4161
  • Fixed typo from 'are' to 'and' in advisors.adoc documentation #​4219
  • Added more detailed explanation in observability documentation about metrics configuration and usage a0ad921
  • Various small improvements to documentation content and formatting ad93613
  • Added extensive validation and functionality tests for the Document class to improve test coverage 2bca047
  • Added new model names in Anthropic documentation #​4077
  • Added reference documentation for MariaDBVectorStore similarity score functionality 9d19181
  • Added comprehensive documentation for the new metadata support feature in ChatClient c328ef6
  • Enhanced readability by formatting documentation with one sentence per line 54a2dc3
  • Updated getting-started.adoc documentation to reflect 1.0.0 release changes and improvements #​3920
  • Improved chat-memory.adoc documentation with updated information and examples #​3917
  • Fixed various typos in comments and improved overall documentation quality #​3936
  • Updated outdated information in project documentation to reflect current state 056c261
  • Updated ChromaDB configuration details to include comprehensive support for Chroma Cloud deployment #​4008
  • Enhanced documentation for the call() method in ChatClient with clearer examples and usage guidelines #​3963
  • Fixed bug in example code to provide accurate documentation for users #​3993
  • Applied consistent AsciiDoc styling to CONTRIBUTING.adoc for improved documentation formatting #​3883
  • Optimized Bedrock documentation to keep it synchronized with current code implementation #​3843 via #​3842
  • Fixed typo in PropmptTemplate reference within structured-output-api.jpg documentation #​3304 via #​3295
  • Added example demonstrating dynamic Model Context Protocol client selection #​3751
  • Updated Model Context Protocol specification documentation link #​3810
  • Fixed example code in streaming responses documentation #​3802
  • Improves documentation for ChatClient advisor configuration and usage 965b1d2
  • Updates Model Context Protocol documentation to reference current implementation patterns #​3760
  • Updated documentation for Anthropic chat integration #​2723
  • Updated contributing guidelines to use Developer Certificate of Origin instead of Contributor License Agreement #​3228 via #​3094
  • Corrected typographical errors in token configuration documentation #​3677
  • Updated documentation with current code examples and removed deprecated references #​3717 via #​3713
  • Fixed property name from is-auto-id to auto-id in Milvus vector store documentation #​3704 via #​3702
  • Cleaned up duplicated dependency inst

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@renovate renovate bot force-pushed the renovate/org.springframework.ai-spring-ai-bom-1.x branch from 0804f13 to 74c2c9a Compare September 22, 2025 20:57
@renovate renovate bot changed the title chore(deps): update dependency org.springframework.ai:spring-ai-bom to v1.1.0-m1 chore(deps): update dependency org.springframework.ai:spring-ai-bom to v1.1.0-m2 Sep 22, 2025
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