Spring AI 结合DeepSeek使用教程

一、环境搭建与项目初始化

创建Spring Boot项目

使用IDEA或Spring Initializr创建项目，选择JDK 17或更高版本（推荐21）。
勾选依赖项：Spring Web、Lombok，Maven或Gradle作为构建工具。
添加Spring AI依赖（以DeepSeek为例）：
deepseek 作为引入依赖

<properties><java.version>17</java.version><spring-ai.version>1.0.0</spring-ai.version>
</properties>
<dependencies><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-web</artifactId></dependency><dependency><groupId>org.springframework.ai</groupId><artifactId>spring-ai-starter-model-deepseek</artifactId></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-test</artifactId><scope>test</scope></dependency>
</dependencies>
<dependencyManagement><dependencies><dependency><groupId>org.springframework.ai</groupId><artifactId>spring-ai-bom</artifactId><version>1.0.0</version><type>pom</type><scope>import</scope></dependency></dependencies>
</dependencyManagement>

配置API密钥
在application.yml中配置模型服务（以DeepSeek为例）：

server:port: 8080
spring:ai:deepseek:api-key: sk-your-api-keybase-url: https://api.deepseek.com/v1chat:options:model: deepseek-chat

二、基础功能实现

调用大模型生成文本

通过chatModel发送请求：

   @RestControllerpublic class ChatController {private DeepSeekChatModel chatModel;@Autowiredpublic ChatController(DeepSeekChatModel chatModel) {this.chatModel = chatModel;}@GetMapping("/ai/generate")public Map generate(@RequestParam(value = "message", defaultValue = "Tell me a joke") String message) {return Map.of("generation", chatModel.call(message));}@GetMapping("/ai/generateStream")public Flux<ChatResponse> generateStream(@RequestParam(value = "message", defaultValue = "Tell me a joke") String message) {var prompt = new Prompt(new UserMessage(message));return chatModel.stream(prompt);}}