20250329 记忆会话

src/main/java/com/ai/config/AssistantInit.java

@@ -0,0 +1,27 @@
+package com.ai.config;
+
+import com.ai.service.Assist;
+import dev.langchain4j.community.model.dashscope.QwenChatModel;
+import dev.langchain4j.memory.chat.MessageWindowChatMemory;
+import dev.langchain4j.model.chat.ChatLanguageModel;
+import dev.langchain4j.service.AiServices;
+import lombok.RequiredArgsConstructor;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+
+@Configuration
+@RequiredArgsConstructor
+public class AssistantInit {
+
+    ChatLanguageModel qwenModel = QwenChatModel.builder()
+            .apiKey("sk-2f703a41fff0488e9b6888013d2ee58a")
+            .modelName("deepseek-v3")
+            .build();
+
+    @Bean
+    public Assist init() {
+        return AiServices.builder(Assist.class)
+                .chatMemoryProvider(memoryId -> MessageWindowChatMemory.withMaxMessages(10))
+                .chatLanguageModel(qwenModel).build();
+    }
+}

src/main/java/com/ai/controller/LangChainController.java

@@ -2,6 +2,11 @@ package com.ai.controller;
 
 import com.ai.service.Assist;
 import com.ai.service.LangChainService;
+import dev.langchain4j.community.model.dashscope.QwenChatModel;
+import dev.langchain4j.memory.ChatMemory;
+import dev.langchain4j.memory.chat.MessageWindowChatMemory;
+import dev.langchain4j.model.chat.ChatLanguageModel;
+import dev.langchain4j.service.AiServices;
 import org.springframework.beans.factory.annotation.Autowired;
 import org.springframework.web.bind.annotation.GetMapping;
 import org.springframework.web.bind.annotation.RequestMapping;
@@ -34,4 +39,24 @@ public class LangChainController {
         System.out.println("start highlevel chat...");
         return assist.chat(input);
     }
+
+//    ChatLanguageModel qwenModel = QwenChatModel.builder()
+//            .apiKey("sk-2f703a41fff0488e9b6888013d2ee58a")
+//            .modelName("deepseek-v3")
+//            .build();
+//
+//    ChatMemory chatMemory = MessageWindowChatMemory.builder()
+//            .maxMessages(10)
+//            .build();
+//
+//    Assist assist = AiServices.builder(Assist.class)
+//            .chatLanguageModel(qwenModel) // the model
+//            .chatMemoryProvider(memoryId -> MessageWindowChatMemory.withMaxMessages(10)) // memory
+//            .build();
+
+    @GetMapping("/high/memory-chat")
+    public String memoryChat(@RequestParam("memoryId") String memoryId, @RequestParam("input") String input) {
+        System.out.println("start highlevel memory chat...");
+        return assist.memoryChat(memoryId, input);
+    }
 }

src/main/java/com/ai/http/chat.http

@@ -3,3 +3,10 @@ GET http://localhost:8080/langchain/chat?input=今天天气如何
 
 ### 测试 LangChainController 的 highlevel chat 接口
 GET http://localhost:8080/langchain/high/chat?input=评价一下路飞
+
+### 测试 LangChainController 的 highlevel memory chat 接口
+GET http://localhost:8080/langchain/high/memory-chat?memoryId=1&input=你好,我想要买电脑笔记本
+### 测试 LangChainController 的 highlevel memory chat 接口
+GET http://localhost:8080/langchain/high/memory-chat?memoryId=1&input=我想要性价比高的
+### 测试 LangChainController 的 highlevel memory chat 接口
+GET http://localhost:8080/langchain/high/memory-chat?memoryId=1&input=详细介绍一下

src/main/java/com/ai/service/Assist.java

@@ -1,11 +1,15 @@
 package com.ai.service;
 
+import dev.langchain4j.service.MemoryId;
 import dev.langchain4j.service.SystemMessage;
+import dev.langchain4j.service.UserMessage;
 import dev.langchain4j.service.spring.AiService;
 
-@AiService
 public interface Assist {
 
-    @SystemMessage("假设你是唐吉坷德多佛朗明哥")
+    @SystemMessage("假设你是多佛朗明哥，请你用多佛朗明哥的语气去回答问题")
     String chat(String userMessage);
+
+    @SystemMessage("假设你是电商平台的客服，请你用电商平台客服的语气去回答问题")
+    String memoryChat(@MemoryId String memoryId, @UserMessage String userMessage);
 }

src/main/java/com/ai/service/LangChainService.java

@@ -1,8 +1,5 @@
 package com.ai.service;
 
-import dev.langchain4j.community.model.dashscope.QwenLanguageModel;
-import dev.langchain4j.data.message.UserMessage;
-import dev.langchain4j.model.chat.ChatLanguageModel;
 import dev.langchain4j.model.language.LanguageModel;
 import dev.langchain4j.model.output.Response;
 import org.springframework.beans.factory.annotation.Autowired;