ChatmemoryMax 历史对话长度20260507

1、pom

<properties>
    <java.version>17</java.version>
    <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
    <project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
    <spring-boot.version>3.2.0</spring-boot.version>
    <spring-ai.version>1.0.0</spring-ai.version>
    <spring-ai-alibaba.version>1.0.0.2</spring-ai-alibaba.version>
</properties>
<dependencies>
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-web</artifactId>
    </dependency>
    <!-- 阿里云通义千问（DashScope）starter -->
    <dependency>
        <groupId>com.alibaba.cloud.ai</groupId>
        <artifactId>spring-ai-alibaba-starter-dashscope</artifactId>
    </dependency>

<!--对话记忆 chat-memory-->
<dependency>
    <groupId>org.springframework.ai</groupId>
    <artifactId>spring-ai-autoconfigure-model-chat-memory</artifactId>
</dependency>

</dependencies>
<dependencyManagement>
    <dependencies>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-dependencies</artifactId>
            <version>${spring-boot.version}</version>
            <type>pom</type>
            <scope>import</scope>
        </dependency>
        <!-- 统一管理Spring AI依赖版本 -->
        <dependency>
            <groupId>org.springframework.ai</groupId>
            <artifactId>spring-ai-bom</artifactId>
            <version>${spring-ai.version}</version>
            <type>pom</type>
            <scope>import</scope>
        </dependency>
        <dependency>
            <groupId>com.alibaba.cloud.ai</groupId>
            <artifactId>spring-ai-alibaba-bom</artifactId>
            <version>${spring-ai-alibaba.version}</version>
            <type>pom</type>
            <scope>import</scope>
        </dependency>
    </dependencies>
</dependencyManagement>
<!-- Spring AI 里程碑/快照仓库（必须配置，否则依赖无法下载） -->
<repositories>
    <repository>
        <id>spring-milestones</id>
        <name>Spring Milestones</name>
        <url>https://repo.spring.io/milestone</url>
        <snapshots>
            <enabled>false</enabled>
        </snapshots>
    </repository>
    <repository>
        <id>spring-snapshots</id>
        <name>Spring Snapshots</name>
        <url>https://repo.spring.io/snapshot</url>
        <releases>
            <enabled>false</enabled>
        </releases>
    </repository>
</repositories>


2、yml

#server.port=18081
#spring.ai.dashscope.api-key="sk-72d9fd311cde487eb948bcd999ea4a65"
#spring.ai.dashscope.chat.options.model= sk-8718a83408d7443b9544cdfbf259280f
#sk-72d9fd311cde487eb948bcd999ea4a65
server:
  port: 18081
spring:
  ai:
    dashscope:
      api-key: sk-8718a83408d7443bxxxxxxx

logging: #####日志级别
  level:

   org.springframework.ai.chat.client.advisor: debug

 

 

 

3、config

import org.springframework.ai.chat.memory.ChatMemory;
import org.springframework.ai.chat.memory.ChatMemoryRepository;
import org.springframework.ai.chat.memory.MessageWindowChatMemory;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

@Configuration
public class config {

    @Bean
    ChatMemory chatMemoryMax(ChatMemoryRepository chatMemoryRepository) {
        return MessageWindowChatMemory
                .builder()
                // 自定义最大消息数，覆盖默认的20条 （2 轮用户 + 助手对话）
                //保留最近 2 条消息。若超出则删除最早的消息
                .maxMessages(2)
                // 绑定持久化仓库（支持多用户会话隔离）
                .chatMemoryRepository(chatMemoryRepository)
                .build();
    }
}

4、controller

 

 

import com.alibaba.cloud.ai.dashscope.chat.DashScopeChatModel;
import org.springframework.ai.chat.client.ChatClient;
import org.springframework.ai.chat.client.advisor.PromptChatMemoryAdvisor;
import org.springframework.ai.chat.memory.ChatMemory;
import org.springframework.ai.chat.memory.MessageWindowChatMemory;
import org.springframework.ai.chat.messages.Message;
import org.springframework.ai.chat.messages.UserMessage;
import org.springframework.ai.chat.model.ChatResponse;
import org.springframework.ai.chat.prompt.Prompt;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Controller;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.ResponseBody;

import java.util.List;

@RequestMapping("/openai")
@ResponseBody
@Controller
public class ChatMemoryController {

    @Autowired
    //保留最近 10 条消息。若超出则删除最早的消息
    private ChatMemory chatMemoryMax;

/**
     * 基于 ChatMemory max 历史对话长度
     */
    @GetMapping("/simple/chatmemorymax")
    public String chatmemory4 () {
        // 1. 创建对话记忆（滑动窗口实现）
//        ChatMemory chatMemory = MessageWindowChatMemory.builder()
//                // 自定义最大消息数，覆盖默认的20条 （2 轮用户 + 助手对话）
//                .maxMessages(10) //保留最近 2 条消息。若超出则删除最早的消息
//                //对话历史存储
//                .chatMemoryRepository(chatMemoryRepository)
//                .build();
        String conversationId = "lyd001"; // 对话唯一标识

        //  First interaction
        UserMessage userMessage1 = new UserMessage("我叫永乐帝");
        chatMemory.add(conversationId, userMessage1);
        ChatResponse response1 = chatModel.call(new Prompt(chatMemoryMax.get(conversationId)));
        chatMemory.add(conversationId, response1.getResult().getOutput());
        String content1 = String.valueOf(response1.getResult().getOutput());
        System.out.println("【content1】：" + content1);
        //Second interaction
        UserMessage userMessage2 = new UserMessage("我叫什么?");
        chatMemory.add(conversationId, userMessage2);
        ChatResponse response2 = chatModel.call(new Prompt(chatMemoryMax.get(conversationId)));
        chatMemory.add(conversationId, response2.getResult().getOutput());
        String content2 = String.valueOf(response2.getResult().getOutput());
        System.out.println("【content2】：" + content2);
        //Three interaction
        UserMessage userMessage3 = new UserMessage("我叫什么?");
        chatMemory.add(conversationId, userMessage3);
        ChatResponse response3 = chatModel.call(new Prompt(chatMemoryMax.get(conversationId)));
        chatMemory.add(conversationId, response3.getResult().getOutput());
        String content3 = String.valueOf(response3.getResult().getOutput());
        System.out.println("【content3】：" + content3);
        printChatHistory(chatMemoryMax.get(conversationId));


        return  "【content1】:"+content1+"------------" +"【content2】:"+content2
                +"------------" +"【content3】:"+content3+
                ";------------------------" +
                "【基于 ChatMemoryMax(2)历史对话长度的历史信息】"+MessageChatHistory(chatMemoryMax.get(conversationId));
    }








    // 封装：打印当前会话所有历史消息
    private void printChatHistory(List<Message> messageList) {
        System.out.println("----------------会话所有历史消息开始------------------------");
        for (int i = 0; i < messageList.size(); i++) {
            Message msg = messageList.get(i);
            System.out.println("-------第"+(i+1)+"条["+msg.getMessageType()+"]：" + msg.getText());
        }
        System.out.println("-----------------会话所有历史消息结束-----------------------");
    }

    private String MessageChatHistory(List<Message> messageList) {
        String restr="";
        System.out.println("----------------会话所有历史消息开始------------------------");
        for (int i = 0; i < messageList.size(); i++) {
            Message msg = messageList.get(i);
            restr+="-------第【"+(i+1)+"】条["+msg.getMessageType()+"]：" + msg.getText();
        }
        System.out.println("-----------------会话所有历史消息结束-----------------------");
        return  restr;
    }

}










5、http://localhost:18081/openai/simple/chatmemorymax

content1\content2\content3 三轮对话, 限两轮历史对话记录.maxMessages(2)