第⼀个与⼤模型交互的应⽤

1、pom.xml 依赖

<properties>
    <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
    <maven.compiler.source>11</maven.compiler.source>
    <maven.compiler.target>11</maven.compiler.target>
    <langchain4j.version>0.35.0</langchain4j.version>
</properties>

<dependencies>
    <dependency>
        <groupId>dev.langchain4j</groupId>
        <artifactId>langchain4j</artifactId>
        <version>${langchain4j.version}</version>
    </dependency>
    <dependency>
        <groupId>dev.langchain4j</groupId>
        <artifactId>langchain4j-open-ai</artifactId>
        <version>${langchain4j.version}</version>
    </dependency>
    <dependency>
        <groupId>org.tinylog</groupId>
        <artifactId>tinylog-impl</artifactId>
        <version>2.6.2</version>
    </dependency>
    <dependency>
        <groupId>org.tinylog</groupId>
        <artifactId>slf4j-tinylog</artifactId>
        <version>2.6.2</version>
    </dependency>
</dependencies>

2、测试代码

import dev.langchain4j.model.chat.ChatLanguageModel;
import dev.langchain4j.model.openai.OpenAiChatModel;

public class App {

    public static void main (String [] args) {
        ChatLanguageModel model = OpenAiChatModel.builder()
                .apiKey("demo")
                .modelName("gpt-4o-mini")
                .build();
        String answer = model.generate("你是谁？");
        System.out.println(answer);
    }
}

3、测试结果

我是一个人工智能助手，旨在帮助回答问题和提供信息。你有什么想了解的吗？