SpringBoot 接入 豆包 火山方舟大模型

火山方舟控制台 开通模型推理、知识库 应用入口；

文档中心 各类接口说明及SDK 获取；

向量数据库VikingDB 文档 下翻找到有java操作案例；

实现目标功能效果：

1. 通过SDK调用 豆包大模型，在代码内实现问答的效果；
   官方示例

2. 通过使用知识库，自己上传文档。让豆包大模型可以回答 你文档中的内容数据（即自定义属于你自己（自身业务领域）的大模型）；

前置步骤：

• 点击右上角头像处去创建 API 访问密钥；
• 控制台内 模型推理 - 在线推理 创建一个推理接入点（按提示操作即可）；
• 控制台内 知识库 - 创建知识库；

代码

package com.example.demo.service.doubao;

import com.volcengine.ark.runtime.model.completion.chat.ChatCompletionRequest;
import com.volcengine.ark.runtime.model.completion.chat.ChatMessage;
import com.volcengine.ark.runtime.model.completion.chat.ChatMessageRole;
import com.volcengine.ark.runtime.service.ArkService;
import com.volcengine.auth.ISignerV4;
import com.volcengine.auth.impl.SignerV4Impl;
import com.volcengine.model.Credentials;
import com.volcengine.service.SignableRequest;
import org.apache.http.HttpResponse;
import org.apache.http.NameValuePair;
import org.apache.http.client.HttpClient;
import org.apache.http.client.config.RequestConfig;
import org.apache.http.client.utils.URIBuilder;
import org.apache.http.entity.StringEntity;
import org.apache.http.impl.client.HttpClients;
import org.apache.http.util.EntityUtils;

import java.util.ArrayList;
import java.util.List;

/**
 * @Author：wwf
 * @Package：com.example.demo.service
 * @Project：demo
 * @name：CreateArkClientExample
 * @Date：2024/11/28 15:32
 * @Filename：CreateArkClientExample
 */
public class CreateArkClientExample {

	//模型推理 - 在线推理 - API 调用 内查看获取
    private static final String API_KEY = "ea9fxxxxxxxxx49c";

    
    //这里获取 https://console.volcengine.com/iam/keymanage
    private static final String AK = "AKLTZDI2Yxxxxxxxxx2U2NGZmMzA";
    private static final String SK = "Tnpjd0xxxxxxxxxOa1pXRQ";


    public static void main(String[] args) throws Exception {
        // 以华北 2 (北京) 为例，<ARK_DOMAIN> 处应改为 ark.cn-beijing.volces.com
        ArkService service = ArkService.builder()
                .apiKey(API_KEY)
                .baseUrl("https://ark.cn-beijing.volces.com/api/v3")
                .build();
        System.out.println("
----- standard request -----");
        String host = "api-knowledgebase.mlp.cn-beijing.volces.com";
        String path = "/api/knowledge/collection/search_knowledge";
        String method = "POST";
        String body = "{"name":"wwfTest","query":"总结介绍下王清"}";

        SignableRequest request = prepareRequest(host, path, method, null, body, AK, SK);
        System.out.println(request.getURI());

        HttpClient client = HttpClients.createDefault();
        HttpResponse response = client.execute(request);
        int statusCode = response.getStatusLine().getStatusCode();
        String content = EntityUtils.toString(response.getEntity());
        System.out.println(statusCode);
        System.out.println(content);

        final List<ChatMessage> streamMessages = new ArrayList<>();
        final ChatMessage streamSystemMessage = ChatMessage.builder().role(ChatMessageRole.SYSTEM).content("你是豆包，是由字节跳动开发的 AI 人工智能助手")
                .content(content)
                .build();
        final ChatMessage streamUserMessage = ChatMessage.builder().role(ChatMessageRole.USER).content("总结介绍下王清").build();
        streamMessages.add(streamSystemMessage);
        streamMessages.add(streamUserMessage);

        ChatCompletionRequest streamChatCompletionRequest = ChatCompletionRequest.builder()
                .model("ep-20241128155250-zlbd8")
                //回调函数
//                .tools()
                .messages(streamMessages)
                .build();

        service.streamChatCompletion(streamChatCompletionRequest)
                .doOnError(Throwable::printStackTrace)
                .blockingForEach(
                        choice -> {
                            if (choice.getChoices().size() > 0) {
                                System.out.print(choice.getChoices().get(0).getMessage().getContent());
                            }
                        }
                );


        // shutdown service
        service.shutdownExecutor();
    }


    /**
     * 构建请求
     *
     * @param host
     * @param path
     * @param method
     * @param params
     * @param body
     * @param ak
     * @param sk
     * @return
     * @throws Exception
     */
    public static SignableRequest prepareRequest(String host, String path, String method, List<NameValuePair> params, String body, String ak, String sk) throws Exception {
        SignableRequest request = new SignableRequest();
        request.setMethod(method);
        request.setHeader("Accept", "application/json");
        request.setHeader("Content-Type", "application/json");
        request.setHeader("Host", "api-knowledgebase.mlp.cn-beijing.volces.com");
        request.setEntity(new StringEntity(body, "utf-8"));

        URIBuilder builder = request.getUriBuilder();
        builder.setScheme("https");
        builder.setHost(host);
        builder.setPath(path);
        if (params != null) {
            builder.setParameters(params);
        }

        RequestConfig requestConfig = RequestConfig.custom().setSocketTimeout(5000).setConnectTimeout(2000).build();
        request.setConfig(requestConfig);

        Credentials credentials = new Credentials("cn-north-1", "air");
        credentials.setAccessKeyID(ak);
        credentials.setSecretAccessKey(sk);

        // 签名
        ISignerV4 ISigner = new SignerV4Impl();
        ISigner.sign(request, credentials);

        return request;
    }
}

示例代码说明：

本人随意使用gpt 编写了一篇短片小说，通过平台内知识库，以文档形式上传进去。小说内有个人物叫 王清，于是问 豆包模型 介绍下王清的信息，此时 模型可以准确快速的响应 关于王清的信息；

，，，，，，，，，
本文为个人操作接入记录，官方文档示例还是比较全的。仅记录大致接入流程；