LangChain4j-第一篇 |几分钟完成deepseek 在线集成

引言：AI 集成的Hello world

在AI迅猛增长的势头下，作为Java 程序员，也想学习开发AI 的应用产品。好在Java AI 生态也在逐步的完善，我们也可以使用java 语言开发属于自己的应用产品。LangChain4j通过声明式编程模型，将AI开发效率提升5倍以上。今天我们来学习LangChain4j的 hello world。

一、环境搭建实战

1. api key 申请

在项目开始之前先申请一个apikey

deepseek api key 申请/充值地址

申请完之后记得充个一块钱

1. 基础环境要求

# 验证环境
java -version # 要求17+
mvn -v       # 3.6+ 或 gradle 7.4+

使用spring initializr 构建springBoot 工程

2. 项目配置（Maven示例）

在pom.xml 中引入

        <dependency><groupId>dev.langchain4j</groupId><artifactId>langchain4j-open-ai-spring-boot-starter</artifactId><version>1.0.0-beta3</version></dependency>

整体pom.xml 文件

<?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 https://maven.apache.org/xsd/maven-4.0.0.xsd"><modelVersion>4.0.0</modelVersion><parent><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-parent</artifactId><version>3.3.9</version><relativePath/></parent><groupId>com.cg</groupId><artifactId>langchain4j</artifactId><version>0.0.1-SNAPSHOT</version><name>langchain4j</name><description>langchain4j</description><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>3.3.9</spring-boot.version></properties><dependencies><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-web</artifactId></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-test</artifactId><scope>test</scope></dependency><dependency><groupId>dev.langchain4j</groupId><artifactId>langchain4j-open-ai-spring-boot-starter</artifactId><version>1.0.0-beta3</version></dependency></dependencies><dependencyManagement><dependencies><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-dependencies</artifactId><version>${spring-boot.version}</version><type>pom</type><scope>import</scope></dependency></dependencies></dependencyManagement><build><plugins><plugin><groupId>org.apache.maven.plugins</groupId><artifactId>maven-compiler-plugin</artifactId><version>3.8.1</version><configuration><source>17</source><target>17</target><encoding>UTF-8</encoding></configuration></plugin><plugin><groupId>org.springframework.boot</groupId><artifactId>spring-boot-maven-plugin</artifactId><version>${spring-boot.version}</version><configuration><mainClass>com.cg.langchain4j.Langchain4jApplication</mainClass><skip>true</skip></configuration><executions><execution><id>repackage</id><goals><goal>repackage</goal></goals></execution></executions></plugin></plugins></build></project>

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二、Hello World: 调用deepSeek api 实现对话

1.application.properties配置如下

server.port=8080
langchain4j.open-ai.chat-model.base-url=https://api.deepseek.com
langchain4j.open-ai.chat-model.api-key= 申请的apikey
langchain4j.open-ai.chat-model.model-name=deepseek-chat
langchain4j.open-ai.chat-model.log-requests=true
langchain4j.open-ai.chat-model.log-responses=true

2.chart 接口编写

@RestController
public class ChatController {ChatLanguageModel chatLanguageModel;public ChatController(ChatLanguageModel chatLanguageModel) {this.chatLanguageModel = chatLanguageModel;}@GetMapping("/chat")public String model(@RequestParam(value = "message", defaultValue = "Hello") String message) {return chatLanguageModel.chat(message);}

接下来我们启动工程，测试下接口，看能不能实现对话功能，通过接口调用可以看到，通过接口可以正常对话。