基于⽅法定制本地Tool

1、pom依赖

<properties>
    <maven.compiler.source>17</maven.compiler.source>
    <maven.compiler.target>17</maven.compiler.target>
    <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
    <langchain4j.version>0.35.0</langchain4j.version>
</properties>

<parent>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-parent</artifactId>
    <version>3.2.1</version>
</parent>

<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>dev.langchain4j</groupId>
    <artifactId>langchain4j-dashscope</artifactId>
    <version>${langchain4j.version}</version>
    <exclusions>
        <exclusion>
            <artifactId>slf4j-simple</artifactId>
            <groupId>org.slf4j</groupId>
        </exclusion>
    </exclusions>
  </dependency>

    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-web</artifactId>
    </dependency>
    <dependency>
        <groupId>dev.langchain4j</groupId>
        <artifactId>langchain4j-dashscope-spring-boot-starter</artifactId>
        <version>0.35.0</version>
    </dependency>
</dependencies>

2、代码

import dev.langchain4j.agent.tool.Tool;
import dev.langchain4j.agent.tool.ToolExecutionRequest;
import dev.langchain4j.agent.tool.ToolSpecification;
import dev.langchain4j.agent.tool.ToolSpecifications;
import dev.langchain4j.data.message.AiMessage;
import dev.langchain4j.data.message.ToolExecutionResultMessage;
import dev.langchain4j.data.message.UserMessage;
import dev.langchain4j.model.chat.ChatLanguageModel;
import dev.langchain4j.model.dashscope.QwenChatModel;
import dev.langchain4j.model.output.Response;
import java.lang.reflect.InvocationTargetException;
import java.lang.reflect.Method;
import java.time.LocalDateTime;
import java.util.Collections;

public class ToolDemo {

    @Tool("获取当前日期")
    public static String getTime() {
        return LocalDateTime.now().toString();
    }

    public static void main(String [] args) throws NoSuchMethodException, InvocationTargetException, IllegalAccessException {
        ChatLanguageModel model = QwenChatModel.builder()
                .apiKey("sk-3bfe0dfa79b94aa9b2d2da0a9286b9b1")
                .build();
        ToolSpecification specification = ToolSpecifications.toolSpecificationFrom(ToolDemo.class.getMethod("getTime"));
        UserMessage userMessage = UserMessage.from("今天是几月几日？");
        Response<AiMessage> aiMessageResponse = model.generate(Collections.singletonList(userMessage), specification);
        AiMessage aiMessage = aiMessageResponse.content();
        if (aiMessage.hasToolExecutionRequests()) {
            for (ToolExecutionRequest request : aiMessage.toolExecutionRequests()) {
                String name = request.name();
                Method method = ToolDemo.class.getMethod(name);
                String result = (String)method.invoke(null);
                ToolExecutionResultMessage message = ToolExecutionResultMessage.from(request.id(), request.name(), result);
                Response<AiMessage> response = model.generate(userMessage, aiMessage, message);
                System.out.println(response.content().text());
            }
        }
    }
}

3、测试结果

今天是2025年7月2日。