springboot对接Dify的项目时间

<dependency>
    <groupId>io.github.guoshiqiufeng.dify</groupId>
    <artifactId>dify-spring-boot4-starter</artifactId>
    <version>${dify-spring-boot-starter.version}</version>
</dependency>

dify:
  url: http://127.0.0.1 # Dify 服务地址
  # HTTP 客户端超时配置（默认 connect/read/write 均为 30 秒，同步对话易超时被取消）
  client-config:
    connect-timeout: 30 # 连接超时（秒），默认 30
    read-timeout: 300 # 读取超时（秒），默认 30；同步 chat-messages 需等待大模型完整回复，必须调大
    write-timeout: 60 # 写入超时（秒），默认 30
    call-timeout: 0 # 整个调用的总超时（秒），0 表示不限制，默认 0
    sse-read-timeout: 0 # SSE 流式读取超时（秒），0 表示不限制，默认 0
  server:
    email: aaa@test.com # Dify 服务邮箱（调用 Server API 时需要）
    password: 123456 # Dify 服务密码（调用 Server API 时需要）
    password-encryption: false # 密码加密开关，默认 true
      # Dify 1.11.2+ 需要开启（或使用 Base64 密文）
      # Dify 1.11.2 以下版本设置为 false

package com.ybw.service;

import io.github.guoshiqiufeng.dify.chat.DifyChat;
import io.github.guoshiqiufeng.dify.chat.dto.request.ChatMessageSendRequest;
import io.github.guoshiqiufeng.dify.chat.dto.response.ChatMessageSendResponse;
import jakarta.annotation.Resource;
import org.springframework.stereotype.Service;

@Service
public class DifyChatService {

    @Resource
    private DifyChat difyChat;


    /**
     * 发送消息
     *
     * @param sendRequest 消息发送请求对象，包含消息内容等信息
     * @return ChatMessageSendResponse 消息发送响应对象，包含发送结果等信息
     */
    public ChatMessageSendResponse send(ChatMessageSendRequest sendRequest) {
        return difyChat.send(sendRequest);
    }
}

package com.ybw.service;

import io.github.guoshiqiufeng.dify.chat.dto.request.ChatMessageSendRequest;
import io.github.guoshiqiufeng.dify.chat.dto.response.ChatMessageSendResponse;
import jakarta.annotation.Resource;
import lombok.extern.slf4j.Slf4j;
import org.junit.jupiter.api.Test;
import org.springframework.boot.test.context.SpringBootTest;

@SpringBootTest
@Slf4j
public class DifyChatServiceTest {

    @Resource
    private DifyChatService difyChatService;

    @Test
    public void send() {
        ChatMessageSendRequest request = new ChatMessageSendRequest();
        //首次对话 / 新会话，不设置（或传空），Dify 自动创建
//        request.setConversationId();
        request.setUserId("zhangsan");
        request.setContent("你好");
        request.setApiKey("aaaaaaaaaaaaaa");
        ChatMessageSendResponse chatMessageSendResponse = difyChatService.send(request);
        // 打印响应结果
        log.info("回复：{}",chatMessageSendResponse.getAnswer());
    }
}

2026-09-11T10:03:38.034+08:00  INFO 24252 --- [spring-boot-dify-demo] [           main] com.ybw.service.DifyChatServiceTest      : 回复：<think>
Thinking Process:
1.  **Analyze the Input:**
    *   User says: "你好" (Nǐ hǎo) - This means "Hello" in Chinese.
    *   Intent: Greeting, initiating conversation.
    *   Context: No specific context provided yet. I am an AI assistant.
2.  **Determine the Appropriate Response:**
    *   Language: Since the user spoke Chinese, I should respond in Chinese.
    *   Tone: Polite, friendly, helpful.
    *   Content: Acknowledge the greeting and offer assistance.
3.  **Drafting Potential Responses:**
    *   Option 1 (Simple): 你好！有什么可以帮你的吗？ (Hello! Is there anything I can help you with?)
    *   Option 2 (Friendly + Capabilities): 你好呀！很高兴见到你。今天想聊聊什么呢，或者需要我帮你处理什么事情？ (Hey! Nice to meet you. What would you like to chat about today, or need me to handle something for you?)
    *   Option 3 (Professional): 您好！请问有什么我可以帮您的吗？ (Hello there! May I ask what I can do for you?)
4.  **Selecting the Best Response:**
    *   Option 2 strikes a good balance between friendliness and helpfulness without being overly formal or robotic.
    *   Add emojis to make it more welcoming? Maybe 🌟, 😊. Let's keep it clean but warm.
5.  **Final Polish (Internal Monologue):**
    *   "你好！很高兴遇见你。今天有什么我可以帮助你的吗？" (Hello! Nice to meet you. Is there anything I can help you with today?) - Simple and effective.
6.  **Output Generation:** (Translating thought process into the final output)
    *   Greet back warmly.
    *   Offer specific areas of help if needed, or keep it open-ended.
    Let's go with: "你好！很高兴见到你。今天有什么我可以帮助你的吗？无论是解答问题、提供建议，还是闲聊聊天，随时告诉我哦～😊" (Hello! Nice to meet you. Is there anything I can help you with today? Whether it's answering questions, providing suggestions, or just chatting casually, let me know anytime~😊)
7.  **Refining for Conciseness:**
    "你好！很高兴见到你。有什么我可以帮你的吗？无论是问题解答、文档处理，还是日常闲聊，我都在这儿听着呢～ 😊" (Hello! Nice to meet you. Is there anything I can help with? Whether it's Q&A, document processing, or daily chatting, I'm here listening~😊)
    Actually, let's keep it very open and welcoming for a first interaction.
    "你好！很高兴见到你。今天有什么我可以帮你的吗？无论是查资料、写文案，还是闲聊解压，随时告诉我就好啦～ 😊" (Hello! Nice to meet you. Is there anything I can help with today? Whether checking info, writing copy, or chatting/relaxing, just let me know~😊)
    Let's pick a standard friendly response.cw
</think>你好！很高兴见到你。👋
今天有什么我可以帮你的吗？无论是解答问题、提供建议，还是只是想聊聊天，随时告诉我哦～ 😊