0、确保deepeseek有余额

1、引入Maven依赖POM

<dependencyManagement>
        <dependencies>
            <dependency>
                <groupId>dev.langchain4j</groupId>
                <artifactId>langchain4j-bom</artifactId>
                <version>1.1.0</version>
                <type>pom</type>
                <scope>import</scope>
            </dependency>
        </dependencies>
    </dependencyManagement>

    <dependencies>

        <dependency>
            <groupId>dev.langchain4j</groupId>
            <artifactId>langchain4j-spring-boot-starter</artifactId>
        </dependency>

        <dependency>
            <groupId>dev.langchain4j</groupId>
            <artifactId>langchain4j-open-ai-spring-boot-starter</artifactId>
            <exclusions>
                <exclusion>
                    <groupId>dev.langchain4j</groupId>
                    <artifactId>langchain4j-http-client-jdk</artifactId>
                </exclusion>
            </exclusions>
        </dependency>

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

        <!-- for Flux<String> support -->
        <dependency>
            <groupId>dev.langchain4j</groupId>
            <artifactId>langchain4j-reactor</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-webflux</artifactId>
        </dependency>

        <!-- observability -->
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-actuator</artifactId>
        </dependency>
        <dependency>
            <groupId>io.micrometer</groupId>
            <artifactId>micrometer-tracing-bridge-otel</artifactId>
        </dependency>
        <dependency>
            <groupId>io.opentelemetry</groupId>
            <artifactId>opentelemetry-exporter-zipkin</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-aop</artifactId>
        </dependency>

<!--        <dependency>-->
<!--            <groupId>dev.langchain4j</groupId>-->
<!--            <artifactId>langchain4j-open-ai</artifactId>-->
<!--        </dependency>-->

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
            <scope>test</scope>
        </dependency>
        <!-- https://mvnrepository.com/artifact/com.alibaba/dashscope-sdk-java -->
        <dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>dashscope-sdk-java</artifactId>
            <version>2.18.3</version>
        </dependency>


        <dependency>
            <groupId>com.github.xiaoymin</groupId>
            <artifactId>knife4j-openapi3-jakarta-spring-boot-starter</artifactId>
            <version>4.4.0</version>
        </dependency>
    </dependencies>

2、代码：

package dev.langchain4j.example;

import dev.langchain4j.model.chat.ChatModel;
import dev.langchain4j.model.chat.request.ChatRequest;
import dev.langchain4j.model.openai.OpenAiChatModel;
import dev.langchain4j.model.openai.internal.OpenAiClient;
import org.junit.jupiter.api.Test;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;

@SpringBootTest()
public class ChatDemo {

    @Autowired
    private   ChatModel chatModel;
    @Test
    public void testChat() {
        System.out.println("----------------");
        String openKey = System.getenv("OPENAI_API_KEY");
//         dev.langchain4j.http.client.spring.restclient.SpringRestClientBuilderFactory,
//         dev.langchain4j.http.client.jdk.JdkHttpClientBuilderFactory

        /**
         * 欠费：
         402 Payment Required: "{"error":{"message":"Insufficient Balance","type":"unknown_error","param":null,"code":"invalid_request_error"}}"
         at dev.la
         */
        OpenAiChatModel model = OpenAiChatModel.builder()
                .apiKey("sk-aec0******").baseUrl("https://api.deepseek.com/v1").modelName("deepseek-chat" ).build();

        String response = model.chat("你是谁?");
        System.out.println(response);
    } 
}
 

3、运行结果：

  .   ____          _            __ _ _
 /\\ / ___'_ __ _ _(_)_ __  __ _ \ \ \ \
( ( )\___ | '_ | '_| | '_ \/ _` | \ \ \ \
 \\/  ___)| |_)| | | | | || (_| |  ) ) ) )
  '  |____| .__|_| |_|_| |_\__, | / / / /
 =========|_|==============|___/=/_/_/_/

 :: Spring Boot ::                (v3.4.2)

2025-07-25T11:31:35.032+08:00  INFO 7208 --- [LangChain4j Spring Boot Example] [           main] [                                                 ] dev.langchain4j.example.ChatDemo         : Starting ChatDemo using Java 17.0.12 with PID 7208 (started by MAC in o.s.b.a.e.web.EndpointLinksResolver      : Exposing 14 endpoints beneath base path '/actuator'
2025-07-25T11:31:41.259+08:00  INFO 7208 --- [LangChain4j Spring Boot Example] [           main] [                                                 ] dev.langchain4j.example.ChatDemo         : Started ChatDemo in 6.698 seconds (process running for 13.372)
Java HotSpot(TM) 64-Bit Server VM warning: Sharing is only supported for boot loader classes because bootstrap classpath has been appended
----------------
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Process finished with exit code 0