阿里通义千问API(Java)使用教程,基于Springboot后端

一、先申请key

1.1 登录阿里云官网并搜索模型服务灵积，开通key

1.2 点击上图中的控制台并进入

1.3 创建key

二、导入依赖坐标

2.1 导入以下俩个坐标

 <!--阿里巴巴大模型-->        <!-- https://mvnrepository.com/artifact/com.alibaba/dashscope-sdk-java -->        <dependency>            <groupId>com.alibaba</groupId>            <artifactId>dashscope-sdk-java</artifactId>            <exclusions>                <exclusion>                    <groupId>org.slf4j</groupId>                    <artifactId>slf4j-simple</artifactId>                </exclusion>            </exclusions>            <version>2.8.3</version>        </dependency>

 <dependency>            <groupId>com.squareup.okhttp3</groupId>            <artifactId>okhttp</artifactId>            <version>4.10.0</version>        </dependency>

2.2 编写Controller层 

这里controller层并未将前端的请求数据传入给api中的参数，有需求的可以自己加一下，这里就使用浏览器测试一下看是否返回数据即可

​import com.alibaba.dashscope.aigc.generation.GenerationResult;import com.alibaba.dashscope.exception.InputRequiredException;import com.alibaba.dashscope.exception.NoApiKeyException;import com.ruoyi.aliyunchat.service.ChatService;import com.ruoyi.common.annotation.Anonymous;import com.ruoyi.pojo.Result;import lombok.extern.slf4j.Slf4j;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.web.bind.annotation.RequestMapping;import org.springframework.web.bind.annotation.RestController;@Slf4j@RestController@Anonymouspublic class ChatController {    @Autowired    private ChatService chatService;    @RequestMapping("/chat")    public Result chatAi() throws NoApiKeyException, InputRequiredException {        GenerationResult generationResult = chatService.chatAi();                return Result.success(generationResult);    }}​

 2.3 Servic层及实现类

接口

import com.alibaba.dashscope.aigc.generation.GenerationResult;import com.alibaba.dashscope.exception.InputRequiredException;import com.alibaba.dashscope.exception.NoApiKeyException;public interface ChatService {    GenerationResult chatAi() throws NoApiKeyException, InputRequiredException;}

实现类

import com.alibaba.dashscope.aigc.generation.GenerationResult;import com.alibaba.dashscope.exception.InputRequiredException;import com.alibaba.dashscope.exception.NoApiKeyException;import com.ruoyi.aliyunchat.aliqianwen.QianWenChat;import com.ruoyi.aliyunchat.service.ChatService;import org.springframework.stereotype.Service;@Servicepublic class ChatServiceImpl implements ChatService {    @Override    public GenerationResult chatAi() throws NoApiKeyException, InputRequiredException {        return  QianWenChat.callWithMessage();    }}

接着就是官网上的Demo了，我们这里封装一下

import com.alibaba.dashscope.aigc.generation.Generation;import com.alibaba.dashscope.aigc.generation.GenerationResult;import com.alibaba.dashscope.aigc.generation.models.QwenParam;import com.alibaba.dashscope.common.Message;import com.alibaba.dashscope.common.MessageManager;import com.alibaba.dashscope.common.Role;import com.alibaba.dashscope.exception.ApiException;import com.alibaba.dashscope.exception.InputRequiredException;import com.alibaba.dashscope.exception.NoApiKeyException;import com.alibaba.dashscope.utils.Constants;import lombok.extern.slf4j.Slf4j;@Slf4jpublic class QianWenChat {    public static GenerationResult callWithMessage() throws NoApiKeyException, ApiException, InputRequiredException    {        Constants.apiKey="你的key";        Generation gen = new Generation();        MessageManager msgManager = new MessageManager(10);        Message systemMsg =                Message.builder().role(Role.SYSTEM.getValue()).content("You are a helpful assistant.").build();        Message userMsg = Message.builder().role(Role.USER.getValue()).content("请问杭州阿里巴巴工作环境咋样？").build();        msgManager.add(systemMsg);        msgManager.add(userMsg);        QwenParam param =                QwenParam.builder().model(Generation.Models.QWEN_TURBO).messages(msgManager.get())                        .resultFormat(QwenParam.ResultFormat.MESSAGE)                        .topP(0.8)                        .enableSearch(true)                        .build();        GenerationResult result = gen.call(param);        log.info("千问api回答的话语为：{}",result);        System.out.println(result);        return result;    }}

三、测试

3.1 在浏览器中输入后端本地，并请求接口，响应如下

 

 

 

 

 

 

 

 

 

 

 

本文链接：https://www.kjpai.cn/news/2024-04-13/157953.html，文章来源：网络cs，作者：往北，版权归作者所有，如需转载请注明来源和作者，否则将追究法律责任！