==

pom.xml

@@ -34,7 +34,11 @@
             <groupId>org.springframework.ai</groupId>
             <artifactId>spring-ai-starter-model-deepseek</artifactId>
         </dependency>
-
+        <!--        阿里百炼大模型自动配置-->
+        <dependency>
+            <groupId>com.alibaba.cloud.ai</groupId>
+            <artifactId>spring-ai-alibaba-starter-dashscope</artifactId>
+        </dependency>
         <dependency>
             <groupId>org.springframework.boot</groupId>
             <artifactId>spring-boot-starter-data-redis</artifactId>
@@ -89,6 +93,14 @@
                 <type>pom</type>
                 <scope>import</scope>
             </dependency>
+            <!--            阿里百炼版本管理-->
+            <dependency>
+                <groupId>com.alibaba.cloud.ai</groupId>
+                <artifactId>spring-ai-alibaba-bom</artifactId>
+                <version>1.0.0.2</version>
+                <type>pom</type>
+                <scope>import</scope>
+            </dependency>
         </dependencies>
     </dependencyManagement>
 

src/main/java/com/ai/app/config/AIConfig.java

@@ -1,5 +1,6 @@
 package com.ai.app.config;
 
+import com.alibaba.cloud.ai.dashscope.chat.DashScopeChatModel;
 import org.springframework.ai.chat.client.ChatClient;
 import org.springframework.ai.chat.client.advisor.MessageChatMemoryAdvisor;
 import org.springframework.ai.chat.client.advisor.SimpleLoggerAdvisor;
@@ -54,9 +55,9 @@ public class AIConfig {
     }
 
     /**
-     * 配置AI对话客户端
+     * dashScopeChatClient对话客户端
      *
-     * @param deepSeekChatModel        deepseek大模型
+     * @param dashScopeChatModel       千问max大模型
      * @param simpleLoggerAdvisor      日志Advisor
      * @param messageChatMemoryAdvisor 会话记忆Advisor
      * @return: org.springframework.ai.chat.client.ChatClient
@@ -64,7 +65,31 @@ public class AIConfig {
      * @date: 2025/8/29 9:06
      */
     @Bean
-    public ChatClient chatClient(DeepSeekChatModel deepSeekChatModel,
+    public ChatClient dashScopeChatClient(DashScopeChatModel dashScopeChatModel,
+                                          SimpleLoggerAdvisor simpleLoggerAdvisor,
+                                          MessageChatMemoryAdvisor messageChatMemoryAdvisor) {
+        return ChatClient
+                //模型
+                .builder(dashScopeChatModel)
+                //系统角色
+                .defaultSystem("你是一个小团团")
+                //环绕增强
+                .defaultAdvisors(simpleLoggerAdvisor, messageChatMemoryAdvisor)
+                .build();
+    }
+
+    /**
+     * deepseek 对话客户端
+     *
+     * @param deepSeekChatModel        deepseek大模型
+     * @param simpleLoggerAdvisor      日志增强
+     * @param messageChatMemoryAdvisor 会话记忆增强
+     * @return: org.springframework.ai.chat.client.ChatClient
+     * @author kai.liu
+     * @date: 2025/9/3 16:45
+     */
+    @Bean
+    public ChatClient deepSeekChatClient(DeepSeekChatModel deepSeekChatModel,
                                      SimpleLoggerAdvisor simpleLoggerAdvisor,
                                      MessageChatMemoryAdvisor messageChatMemoryAdvisor) {
         return ChatClient

src/main/java/com/ai/app/controller/ChatController.java

@@ -1,55 +0,0 @@
-package com.ai.app.controller;
-
-import com.ai.app.dto.MessageDTO;
-import com.ai.app.service.AIChatMessageService;
-import org.springframework.ai.chat.client.ChatClient;
-import org.springframework.ai.chat.memory.ChatMemory;
-import org.springframework.ai.chat.memory.InMemoryChatMemoryRepository;
-import org.springframework.ai.chat.messages.Message;
-import org.springframework.beans.factory.annotation.Autowired;
-import org.springframework.web.bind.annotation.PathVariable;
-import org.springframework.web.bind.annotation.RequestMapping;
-import org.springframework.web.bind.annotation.RestController;
-import reactor.core.publisher.Flux;
-
-import java.util.List;
-import java.util.stream.Collectors;
-
-/**
- * @describe AI对话控制器
- * @Author kai.liu
- * @Date 2025/8/28 10:06
- */
-
-@RestController
-@RequestMapping("/ai")
-public class ChatController {
-
-    @Autowired
-    private ChatClient chatClient;
-
-    @Autowired
-    private InMemoryChatMemoryRepository inMemoryChatMemoryRepository;
-
-    @RequestMapping(value = "/chat", produces = "text/stream;charset=UTF-8")
-    public Flux<String> chat(String prompt, String chatId) {
-        return chatClient
-                .prompt()
-                .user(prompt)
-                .advisors(a -> a.param(ChatMemory.CONVERSATION_ID, chatId))
-                .stream().content();
-    }
-
-    @RequestMapping("/history/chat")
-    public List<String> history() {
-        return inMemoryChatMemoryRepository.findConversationIds();
-    }
-
-    @RequestMapping("/history/chat/{chatId}")
-    public List<MessageDTO> history(@PathVariable("chatId") String chatId) {
-        List<Message> messages = inMemoryChatMemoryRepository.findByConversationId(chatId);
-        return messages.stream().map(e -> {
-            return new MessageDTO(e.getMessageType().getValue(), e.getText());
-        }).collect(Collectors.toList());
-    }
-}

src/main/java/com/ai/app/controller/DashScopeController.java

@@ -0,0 +1,85 @@
+package com.ai.app.controller;
+
+import com.ai.app.dto.MessageDTO;
+import com.ai.app.service.ChatHistoryService;
+import org.springframework.ai.chat.client.ChatClient;
+import org.springframework.ai.chat.memory.ChatMemory;
+import org.springframework.ai.chat.memory.InMemoryChatMemoryRepository;
+import org.springframework.ai.chat.messages.Message;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.beans.factory.annotation.Qualifier;
+import org.springframework.web.bind.annotation.GetMapping;
+import org.springframework.web.bind.annotation.PathVariable;
+import org.springframework.web.bind.annotation.RequestMapping;
+import org.springframework.web.bind.annotation.RestController;
+import reactor.core.publisher.Flux;
+
+import java.util.List;
+import java.util.stream.Collectors;
+
+/**
+ * @describe AI对话控制器
+ * @Author kai.liu
+ * @Date 2025/8/28 10:06
+ */
+
+@RestController
+@RequestMapping("/dashscope")
+public class DashScopeController {
+
+    @Autowired
+    @Qualifier("dashScopeChatClient")
+    private ChatClient dashScopeChatClient;
+
+    @Autowired
+    private ChatHistoryService chatHistoryService;
+
+    @Autowired
+    private InMemoryChatMemoryRepository inMemoryChatMemoryRepository;
+
+    /**
+     * 对话聊天
+     *
+     * @param prompt 用户提示词
+     * @param chatId 对话ID
+     * @return: reactor.core.publisher.Flux<java.lang.String>
+     * @author kai.liu
+     * @date: 2025/9/3 17:30
+     */
+    @RequestMapping(value = "/chat", produces = "text/stream;charset=UTF-8")
+    public Flux<String> chat(String prompt, String chatId) {
+        return dashScopeChatClient
+                .prompt()
+                .user(prompt)
+                .advisors(a -> a.param(ChatMemory.CONVERSATION_ID, chatId))
+                .stream().content();
+    }
+
+    /**
+     * 会话ID列表
+     *
+     * @param type 类型
+     * @return: java.util.List<java.lang.String>
+     * @author kai.liu
+     * @date: 2025/9/3 17:30
+     */
+    @GetMapping("/getHistoryChatIdList/{type}")
+    public List<String> getHistoryChatIdList(@PathVariable("type") String type) {
+        return chatHistoryService.getHistoryChatIds(type);
+    }
+
+    /**
+     * 会话历史
+     *
+     * @param chatId 会话ID
+     * @return: java.util.List<com.ai.app.dto.MessageDTO>
+     * @author kai.liu
+     * @date: 2025/9/3 17:31
+     */
+    @RequestMapping("/getChatHistory/{type}/{chatId}")
+    public List<MessageDTO> getChatHistory(@PathVariable("type") String type, @PathVariable("chatId") String chatId) {
+        chatHistoryService.saveHistoryChatId(type, chatId);
+        List<Message> messages = inMemoryChatMemoryRepository.findByConversationId(chatId);
+        return messages.stream().map(e -> new MessageDTO(e.getMessageType().getValue(), e.getText())).collect(Collectors.toList());
+    }
+}

src/main/java/com/ai/app/service/ChatHistoryService.java

@@ -0,0 +1,15 @@
+package com.ai.app.service;
+
+import java.util.List;
+
+/**
+ * @describe 对话历史接口定义
+ * @Author kai.liu
+ * @Date 2025/9/3 17:05
+ */
+public interface ChatHistoryService {
+
+    void saveHistoryChatId(String type, String chatId);
+
+    List<String> getHistoryChatIds(String type);
+}

src/main/java/com/ai/app/service/impl/ChatHistoryServiceImpl.java

@@ -0,0 +1,67 @@
+package com.ai.app.service.impl;
+
+import com.ai.app.service.ChatHistoryService;
+import com.ai.app.service.RedisTemplateService;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.stereotype.Service;
+
+import java.util.ArrayList;
+import java.util.List;
+
+/**
+ * @describe
+ * @Author kai.liu
+ * @Date 2025/9/3 17:05
+ */
+@Slf4j
+@Service
+public class ChatHistoryServiceImpl implements ChatHistoryService {
+
+    @Autowired
+    private RedisTemplateService redisTemplateService;
+
+    public static final String CHAT_TYPE_KEY = "ai:history:type:";
+
+    /**
+     * 保存会话ID
+     *
+     * @param type   类型
+     * @param chatId 会话ID
+     * @return: void
+     * @author kai.liu
+     * @date: 2025/9/3 17:14
+     */
+    @Override
+    public void saveHistoryChatId(String type, String chatId) {
+        String key = CHAT_TYPE_KEY + type;
+        List<String> chatIds;
+        if (redisTemplateService.hasKey(key)) {
+            chatIds = (List<String>) redisTemplateService.get(key);
+        } else {
+            chatIds = new ArrayList<>();
+        }
+        if (chatIds.contains(chatId)) {
+            return;
+        }
+        chatIds.add(chatId);
+        redisTemplateService.set(key, chatIds);
+    }
+
+    /**
+     * 获取历史会话id列表
+     *
+     * @param type 类型
+     * @return: java.util.List<java.lang.String>
+     * @author kai.liu
+     * @date: 2025/9/3 17:08
+     */
+    @Override
+    public List<String> getHistoryChatIds(String type) {
+        String key = CHAT_TYPE_KEY + type;
+        if (redisTemplateService.hasKey(key)) {
+            return (List<String>) redisTemplateService.get(key);
+        }
+        return List.of();
+    }
+}

src/main/resources/application.yml

@@ -1,7 +1,7 @@
 server:
   port: 8080
-  #  servlet:
+  servlet:
-  #    context-path: /ai
+    context-path: /ai
   tomcat:
     # 等待队列长度 (所有线程忙碌时，排队等待的连接数, 默认: 100)
     accept-count: 1000
@@ -40,10 +40,15 @@ spring:
       max-request-size: 100MB
   ai:
     deepseek:
-      api-key: sk-f970111b34c84a8c812919fb4fad8b65
+      api-key: ${DEEPSEEK_API_KEY}
       chat:
         options:
-          model: deepseek-reasoner
+          model: deepseek-r1
+    dashscope:
+      api-key: ${DASHSCOPE_API_KEY}
+      chat:
+        options:
+          model: qwen-max
   data:
     redis:
       host: 180.76.119.46