1、文档地址

快速开始 - 零基础入门Java AI

免费的模型

Models

2、pom文件依赖 parent依赖

           <dependency><groupId>com.squareup.okhttp3</groupId><artifactId>okhttp</artifactId><version>4.12.0</version></dependency><dependency><groupId>com.squareup.okhttp3</groupId><artifactId>okhttp-sse</artifactId><version>4.12.0</version></dependency><dependency><groupId>com.fasterxml.jackson</groupId><artifactId>jackson-bom</artifactId><version>2.12.4</version><type>pom</type><scope>import</scope></dependency>

工程pom

      <dependency><groupId>io.github.pig-mesh.ai</groupId><artifactId>deepseek-spring-boot-starter</artifactId><version>1.4.5</version></dependency><dependency><groupId>com.squareup.okhttp3</groupId><artifactId>okhttp</artifactId><version>4.12.0</version></dependency><dependency><groupId>com.squareup.okhttp3</groupId><artifactId>okhttp-sse</artifactId><version>4.12.0</version></dependency><dependency><groupId>com.fasterxml.jackson</groupId><artifactId>jackson-bom</artifactId><version>2.12.4</version><type>pom</type><scope>import</scope></dependency>

3、deepseek  api配置

deepseek:api-key: sk-xxxxxxxxxxxmodel: deepseek-r1base-url: https://xxx.xxxx.xxxx.xxxx.com/v1

4、代码

package com.yh.im.controller;import io.github.pigmesh.ai.deepseek.core.DeepSeekClient;
import io.github.pigmesh.ai.deepseek.core.chat.ChatCompletionRequest;
import io.github.pigmesh.ai.deepseek.core.chat.ChatCompletionResponse;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.http.MediaType;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RestController;
import reactor.core.publisher.Flux;@RestController
public class DeepSeekController {@Autowiredprivate DeepSeekClient deepSeekClient;@GetMapping(value = "/chat", produces = MediaType.TEXT_EVENT_STREAM_VALUE)public Flux<ChatCompletionResponse> chat(String prompt) {return deepSeekClient.chatFluxCompletion(prompt);}@GetMapping(value = "/sync/chat")public ChatCompletionResponse syncChat(String prompt) {ChatCompletionRequest request = ChatCompletionRequest.builder()// 根据渠道模型名称动态修改这个参数
//                .model(deepSeekProperties.getModel()).addUserMessage(prompt).build();return deepSeekClient.chatCompletion(request).execute();}
}