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SpringAI整合deepseek的一个简单入门案例

news 2025/11/10 9:22:01

注意：

1、本文大模型以deepseek为例，需提前到DeepSeek官网申请到key。

2、本文采用的调用deepseek在线api的方式。本地化部署请参考：https://blog.csdn.net/shenxiaomo1688/article/details/149297233?ops_request_misc=%257B%2522request%255Fid%2522%253A%25223ec1ad38708d28de772dae921cc5a63e%2522%252C%2522scm%2522%253A%252220140713.130102334.pc%255Fblog.%2522%257D&request_id=3ec1ad38708d28de772dae921cc5a63e&biz_id=0&utm_medium=distribute.pc_search_result.none-task-blog-2~blog~first_rank_ecpm_v1~rank_v31_ecpm-1-149297233-null-null.nonecase&utm_term=%E6%8E%A5%E5%85%A5AI%E5%A4%A7%E6%A8%A1%E5%9E%8B%E7%9A%84%E7%AE%80%E5%8D%95%E4%BD%BF%E7%94%A8%28%E4%BA%8C%29&spm=1018.2226.3001.4450

一、下载依赖

如果maven使用的是阿里云镜像地址下载不到下面的依赖：

spring-ai-openai-spring-boot-starter

可以在maven中指定仓库，如下所示

<!--下载spring-ai相关包需要用到的仓库地址-->
<repositories><repository><id>spring-milestones</id><name>Spring Milestones</name><url>https://repo.spring.io/milestone</url><snapshots><enabled>false</enabled></snapshots></repository><repository><id>spring-snapshots</id><name>Spring Snapshots</name><url>https://repo.spring.io/snapshot</url><releases><enabled>false</enabled></releases></repository>
</repositories>

附pom.xml中完整配置

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"><modelVersion>4.0.0</modelVersion><parent><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-parent</artifactId><version>3.3.8</version><relativePath/> <!-- lookup parent from repository --></parent><groupId>org.example</groupId><artifactId>springai-deepseek-demo</artifactId><version>1.0-SNAPSHOT</version><properties><maven.compiler.source>17</maven.compiler.source><maven.compiler.target>17</maven.compiler.target><spring-ai.version>1.0.0-M5</spring-ai.version></properties><dependencies><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-web</artifactId></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-test</artifactId><scope>test</scope></dependency><!--<dependency><groupId>org.springframework.ai</groupId><artifactId>spring-ai-ollama-spring-boot-starter</artifactId><version>1.0.0-SNAPSHOT</version></dependency>--><dependency><groupId>org.springframework.ai</groupId><artifactId>spring-ai-openai-spring-boot-starter</artifactId></dependency><!--引入lombok依赖--><dependency><groupId>org.projectlombok</groupId><artifactId>lombok</artifactId><version>1.18.24</version><scope>provided</scope></dependency></dependencies><dependencyManagement><dependencies><dependency><groupId>org.springframework.ai</groupId><artifactId>spring-ai-bom</artifactId><version>${spring-ai.version}</version><type>pom</type><scope>import</scope></dependency></dependencies></dependencyManagement><!--下载spring-ai相关包需要用到的仓库地址--><repositories><repository><id>spring-milestones</id><name>Spring Milestones</name><url>https://repo.spring.io/milestone</url><snapshots><enabled>false</enabled></snapshots></repository><repository><id>spring-snapshots</id><name>Spring Snapshots</name><url>https://repo.spring.io/snapshot</url><releases><enabled>false</enabled></releases></repository></repositories></project>

二、配置springai的api地址和key,这里以deepseek为例

server.port=9899
spring.application.name=spring-ai-deepseek-demospring.ai.openai.api-key=sk-c1efe9e2c2874f7cae1c7******
spring.ai.openai.base-url=https://api.deepseek.com
spring.ai.openai.chat.options.model=deepseek-chat
spring.ai.openai.chat.options.temperature=0.7

注意：

1.api-key需替换为自己在deepseek上申请到的key;

2.关于temperature参数说明，请参考下文和项目需要进行配置。

temperature值越高‌，生成的文本越多样化，但也可能包含更多的随机性和不可预测的内容。
值越低‌，生成的文本越接近于确定性的结果，即生成的文本会更加一致和可预测。

三、创建controller,开发api

@RestController
@RequiredArgsConstructor
@RequestMapping("/api/v1/deepseek")
public class DeepSeekController {private final OpenAiChatModel chatModel;@GetMapping("/chat")public String chat(@RequestParam String message) {String response = chatModel.call(message);System.out.println(response);return response;}
}

然后启动项目，开始测试，当传入的参数message的值为hello时测试效果如下：