LangChain4j Prompt对话机器人

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>

    <groupId>org.example</groupId>
    <artifactId>langchain4j-test</artifactId>
    <version>1.0-SNAPSHOT</version>

    <parent>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-parent</artifactId>
        <version>3.5.4</version>
    </parent>

    <properties>
        <maven.compiler.source>21</maven.compiler.source>
        <maven.compiler.target>21</maven.compiler.target>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
    </properties>

    <dependencies>

        <dependency>
            <groupId>dev.langchain4j</groupId>
            <artifactId>langchain4j-open-ai-spring-boot-starter</artifactId>
            <version>1.8.0-beta15</version>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-webflux</artifactId>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
            <scope>test</scope>
        </dependency>

    </dependencies>


</project>
langchain4j:
  open-ai:
    streaming-chat-model:
      base-url: https://api.deepseek.com
      api-key: ${DEEPSEEK_KEY}
      model-name: deepseek-reasoner
      log-requests: true
      log-responses: true
      return-thinking: true
    chat-model:
      base-url: https://api.deepseek.com
      api-key: ${DEEPSEEK_KEY}
      model-name: deepseek-reasoner
      log-requests: true
      log-responses: true
      return-thinking: true


server:
  port: 8080

阻塞式和类Spring AI Flux的“流式”

package org.example.controller;

import dev.langchain4j.data.message.ChatMessage;
import dev.langchain4j.data.message.SystemMessage;
import dev.langchain4j.data.message.UserMessage;
import dev.langchain4j.model.chat.ChatModel;
import dev.langchain4j.model.chat.StreamingChatModel;
import dev.langchain4j.model.chat.response.*;
import jakarta.annotation.Resource;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import reactor.core.publisher.Flux;

import java.util.Arrays;
import java.util.List;

@RestController
@RequestMapping("chat")
public class ChatController {

    @Resource
    private StreamingChatModel streamingChatModel;

    @Resource
    private ChatModel chatModel;

    @GetMapping("chat")
    public String chat(String msg) {
        List<ChatMessage> messages = Arrays.asList(
                new SystemMessage("你是一个数学老师,用简单易懂的方式解释数学概念。"),
                new UserMessage(msg)
        );

        ChatResponse chatResponse = chatModel.chat(messages);
        return chatResponse.aiMessage().text();

    }

    @GetMapping("streaming")
    public Flux<String> streaming(String msg) {

        List<ChatMessage> messages = Arrays.asList(
                new SystemMessage("你是一个数学老师,用简单易懂的方式解释数学概念。"),
                new UserMessage(msg)
        );

        return Flux.create(sink -> {
            streamingChatModel.chat(messages, new StreamingChatResponseHandler() {
                @Override
                public void onPartialResponse(PartialResponse partialResponse, PartialResponseContext context) {
                    sink.next(partialResponse.text());
                }

                @Override
                public void onPartialThinking(PartialThinking partialThinking) {
                    sink.next("<thinking>" + partialThinking.text() + "</thinking>");
                }

                @Override
                public void onCompleteResponse(ChatResponse completeResponse) {
                    sink.complete();
                }

                @Override
                public void onError(Throwable error) {

                }
            });
        });

    }



}

"如果文章对您有帮助,可以请作者喝杯咖啡吗?"

微信二维码

微信支付

支付宝二维码

支付宝


LangChain4j Prompt对话机器人
https://blog.liuzijian.com/post/langchain4j/2025/11/04/langchain4j-prompt.html
作者
Liu Zijian
发布于
2025年11月4日
许可协议