聊聊Spring AI 1.0.0-SNAPSHOT的变更-优快云博客

序

本文主要研究一下Spring AI 1.0.0-SNAPSHOT的变更

Artifact ID变更

Model starters: spring-ai-{model}-spring-boot-starter → spring-ai-starter-model-{model}
Vector Store starters: spring-ai-{store}-store-spring-boot-starter → spring-ai-starter-vector-store-{store}
MCP starters: spring-ai-mcp-{type}-spring-boot-starter → spring-ai-starter-mcp-{type}

示例

<!-- BEFORE -->
<dependency>
    <groupId>org.springframework.ai</groupId>
    <artifactId>spring-ai-openai-spring-boot-starter</artifactId>
</dependency>

<!-- AFTER -->
<dependency>
    <groupId>org.springframework.ai</groupId>
    <artifactId>spring-ai-starter-model-openai</artifactId>
</dependency>

Spring AI Autoconfiguration从单体模块变更为每个model、vector-store等独立的autoconfiguration，拆开的目的就是避免引入没必要的依赖，减少冲突风险：

<!-- NO LONGER AVAILABLE -->
<dependency>
    <groupId>org.springframework.ai</groupId>
    <artifactId>spring-ai-spring-boot-autoconfigure</artifactId>
    <version>${project.version}</version>
</dependency>

取而代之的是：

Model autoconfiguration: spring-ai-autoconfigure-model-{model}

<dependency>
    <groupId>org.springframework.ai</groupId>
    <artifactId>spring-ai-autoconfigure-model-openai</artifactId>
</dependency>

<dependency>
    <groupId>org.springframework.ai</groupId>
    <artifactId>spring-ai-autoconfigure-model-anthropic</artifactId>
</dependency>

<dependency>
    <groupId>org.springframework.ai</groupId>
    <artifactId>spring-ai-autoconfigure-model-vertex-ai</artifactId>
</dependency>

Vector Store autoconfiguration: spring-ai-autoconfigure-vector-store-{store}

<dependency>
    <groupId>org.springframework.ai</groupId>
    <artifactId>spring-ai-autoconfigure-vector-store-redis</artifactId>
</dependency>

<dependency>
    <groupId>org.springframework.ai</groupId>
    <artifactId>spring-ai-autoconfigure-vector-store-pgvector</artifactId>
</dependency>

<dependency>
    <groupId>org.springframework.ai</groupId>
    <artifactId>spring-ai-autoconfigure-vector-store-chroma</artifactId>
</dependency>

MCP autoconfiguration: spring-ai-autoconfigure-mcp-{type}

<dependency>
    <groupId>org.springframework.ai</groupId>
    <artifactId>spring-ai-autoconfigure-mcp-client</artifactId>
</dependency>

<dependency>
    <groupId>org.springframework.ai</groupId>
    <artifactId>spring-ai-autoconfigure-mcp-server</artifactId>
</dependency>

Package Name变更

KeywordMetadataEnricher以及SummaryMetadataEnricher从org.springframework.ai.transformer变更到org.springframework.ai.chat.transformer
Content, MediaContent以及Media从org.springframework.ai.model变更到org.springframework.ai.content

Module变更

之前是所有的都在spring-ai-core，现在拆分到具体的领域模块来减少不必要的依赖，如下：

spring-ai-commons包含了核心的model比如Document、TextSplitter
spring-ai-model包含了AI能力的相关抽象，比如ChatModel、EmbeddingModel、ImageModel、ToolDefinition、ToolCallback
spring-ai-vector-store统一了向量数据库的抽象VectorStore，提供了SimpleVectorStore便于内存使用
spring-ai-client-chat提供了high-level的AI会话API，比如ChatClient、ChatMemory、OutputConverter
spring-ai-advisors-vector-store为RAG衔接了chat和向量数据库，比如QuestionAnswerAdvisor、VectorStoreChatMemoryAdvisor
spring-ai-model-chat-memory-cassandra提供了CassandraChatMemory
spring-ai-rag提供了RAG的pipelines，比如RetrievalAugmentationAdvisor

Dependency Structure变更如下：

spring-ai-commons (foundation)
spring-ai-model (depends on commons)
spring-ai-vector-store and spring-ai-client-chat (both depend on model)
spring-ai-advisors-vector-store and spring-ai-rag (depend on both client-chat and vector-store)
spring-ai-model-chat-memory-* modules (depend on client-chat)

小结

Spring AI 1.0.0-SNAPSHOT主要是涉及了Artifact ID, Package, Module的变更；Spring AI Autoconfiguration从单体模块变更为每个model、vector-store等独立的autoconfiguration，拆开的目的就是避免引入没必要的依赖，减少冲突风险；KeywordMetadataEnricher、SummaryMetadataEnricher、Content、MediaContent以及Media涉及了包名的变更；模块的变更将spring-ai-core拆分到具体的领域模块来减少不必要的依赖。