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？