JDK8项目简单快速接入AI大模型（无需强制使用JDK17）

最近AI风头越来越火，好多项目都需要接入AI接口，但Spring-AI强制绑定JDK17这些，导致以前的很多JDK8项目不太方便

找到个办法，使用AI4J来接入

1.本地部署Ollama,这个属于部署本地大模型，网上随便就能搜到，非本文重点（比如本站这位博主的博文1 使用ollama完成DeepSeek本地部署 - wrj的博客 - 博客园）

2.开始，引入ai4j依赖

<dependency>
    <groupId>io.github.lnyo-cly</groupId>
    <artifactId>ai4j-spring-boot-stater</artifactId>
    <version>0.6.2</version>
</dependency>

3.配置yml文件

如果你是部署到本地就是

http://localhost:11434/

4.正常编写接口

controller类

import io.renren.modules.event.service.OllamaService;
import io.swagger.annotations.Api;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;

/**
 * @author ***
 * @since 2025/2/18
 * AI问答接口
 */
@RestController
@RequestMapping("event/ollama")
@Api(tags = "ollama接口")
public class OllamaController {

    @Autowired
    private OllamaService ollamaService;

    @GetMapping("/chat")
    public String getChatMessage(@RequestParam String question){
        String chatMessage = ollamaService.getChatMessage(question);
        return chatMessage;
    }
}

service类

/**
 * @author ***
 * @since 2025/2/19
 */
public interface OllamaService {

    String getChatMessage(String question);
}

Impl类

import io.github.lnyocly.ai4j.platform.openai.chat.entity.ChatCompletion;
import io.github.lnyocly.ai4j.platform.openai.chat.entity.ChatCompletionResponse;
import io.github.lnyocly.ai4j.platform.openai.chat.entity.ChatMessage;
import io.github.lnyocly.ai4j.service.IChatService;
import io.github.lnyocly.ai4j.service.PlatformType;
import io.github.lnyocly.ai4j.service.factor.AiService;
import io.renren.modules.event.service.OllamaService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;

/**
 * @author ***
 * @since 2025/2/19
 */
@Service
public class OllamaServiceImpl implements OllamaService {

    // 注入Ai服务
    @Autowired
    private AiService aiService;
    @Override
    public String getChatMessage(String question) {
        // 获取OLLAMA的聊天服务
        IChatService chatService = aiService.getChatService(PlatformType.OLLAMA);

        // 创建请求参数
        ChatCompletion chatCompletion = ChatCompletion.builder()
                .model("deepseek-r1:32b")
                .message(ChatMessage.withUser(question))
                .build();

        System.out.println(chatCompletion);

        // 发送chat请求
        ChatCompletionResponse chatCompletionResponse = null;
        try {
            chatCompletionResponse = chatService.chatCompletion(chatCompletion);
        } catch (Exception e) {
            throw new RuntimeException(e);
        }

        // 获取聊天内容和token消耗
        String content = chatCompletionResponse.getChoices().get(0).getMessage().getContent();
        long totalTokens = chatCompletionResponse.getUsage().getTotalTokens();
        System.out.println("总token消耗: " + totalTokens);

        return content;
    }
}

5.测试

...(扩展操作自行研究即可)