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; import org.springframework.web.bind.annotation.RequestParam; import org.springframework.web.bind.annotation.RestController; @RestController @RequestMapping("/langchain") public class LangChainController { @Autowired private LangChainService langChainService; @Autowired private Assist assist; /** * 处理用户输入并调用 LangChainService 获取响应 * @param input 用户输入的内容 * @return 大语言模型生成的响应 */ @GetMapping("/chat") public String chat(@RequestParam("input") String input) { System.out.println("start chat..."); return langChainService.getResponse(input); } @GetMapping("/high/chat") public String highChat(@RequestParam("input") String input) { 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); } }