spring boot3整合AI组件及使用方法

import cn.hutool.http.HttpRequest;
import cn.hutool.json.JSONArray;
import cn.hutool.json.JSONObject;
import cn.hutool.json.JSONUtil;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
/**
 * @author mijiu
 * ClassName:OpenAIAPI.java
 * date:2024-05-06 16:49
 * Description:
 */
public class OpenAIAPI {
    /**
     * 聊天端点
     */
    private final static String CHAT_ENDPOINT = "https://api.openai.com/v1/chat/completions";//官网接口地址
    private final static  String PROXY_ENDPOINT ="https://www.chatgp.fun/v1/chat/completions";//国内代理接口
    private final static  String API_KEY = "Bearer sk-pbatvlgKeYScAS3kD4820bA1CcE741F996E0BaAb205421D1";
    /**
     * 需要代理服务器访问
     *
     * @param txt 内容
     * @return {@link String}
     */
    public static String chat(String txt) {
        Map<String, Object> paramMap = new HashMap<>();
        paramMap.put("model", "gpt-3.5-turbo");
        List<Map<String, String>> dataList = new ArrayList<>();
        dataList.add(new HashMap<String, String>(){{
            put("role", "user");
            put("content", txt);
        }});
        paramMap.put("messages", dataList);
        System.out.println(JSONUtil.toJsonStr(paramMap));
        JSONObject message = null;
        try {
            String body = HttpRequest.post(PROXY_ENDPOINT)
                    .header("Authorization", API_KEY)
                    .header("Content-Type", "application/json")
                    .body(JSONUtil.toJsonStr(paramMap))
                    .execute()
                    .body();
            JSONObject jsonObject = JSONUtil.parseObj(body);
            System.out.println(jsonObject);
            JSONArray choices = jsonObject.getJSONArray("choices");
            JSONObject result = choices.get(0, JSONObject.class, Boolean.TRUE);
            message = result.getJSONObject("message");
        } catch (Exception e) {
            return "抱歉，我无法回答你的问题。";
        }
        return message.getStr("content");
    }
    public static void main(String[] args) {
        System.out.println(chat("你是？"));
    }
}

 <dependency>
    <groupId>cn.hutool</groupId>
    <artifactId>hutool-all</artifactId>
    <version>5.7.22</version>
 </dependency>

spring.ai.openai.api-key=sk-uVfM7GiD9RIdIKRrF70eT3BlbkyhdHGHGH
spring.ai.openai.chat.options.model=gpt-3.5-turbo
spring.ai.openai.chat.options.temperature=0.7

import org.springframework.ai.embedding.EmbeddingClient;
import org.springframework.ai.embedding.EmbeddingResponse;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
import java.util.List;
import java.util.Map;
/**
 * @author mijiupro
 */
@RestController
public class EmbeddingController {
    private final EmbeddingClient embeddingClient;
    @Autowired
    public EmbeddingController(EmbeddingClient embeddingClient) {
        this.embeddingClient = embeddingClient;
    }
    @GetMapping("/ai/embedding")
    public Map embed(@RequestParam(value = "message", defaultValue = "Tell me a joke") String message) {
        EmbeddingResponse embeddingResponse = this.embeddingClient.embedForResponse(List.of(message));
        return Map.of("embedding", embeddingResponse);
    }
}