Initial commit

langchain4j-ai-multimode/pom.xml

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+<?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 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+    <modelVersion>4.0.0</modelVersion>
+    <parent>
+        <groupId>com.iwe3</groupId>
+        <artifactId>langchain4j-ai-java</artifactId>
+        <version>1.0-SNAPSHOT</version>
+    </parent>
+
+    <artifactId>langchain4j-ai-multimode</artifactId>
+
+    <properties>
+        <maven.compiler.source>17</maven.compiler.source>
+        <maven.compiler.target>17</maven.compiler.target>
+        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
+    </properties>
+
+    <dependencies>
+    <dependency>
+        <groupId>org.springframework.boot</groupId>
+        <artifactId>spring-boot-starter-web</artifactId>
+    </dependency>
+    <dependency>
+        <groupId>dev.langchain4j</groupId>
+        <artifactId>langchain4j-open-ai</artifactId>
+    </dependency>
+    <dependency>
+        <groupId>dev.langchain4j</groupId>
+        <artifactId>langchain4j</artifactId>
+    </dependency>
+    <dependency>
+        <groupId>org.projectlombok</groupId>
+        <artifactId>lombok</artifactId>
+        <optional>true</optional>
+    </dependency>
+    <!--test-->
+    <dependency>
+        <groupId>org.springframework.boot</groupId>
+        <artifactId>spring-boot-starter-test</artifactId>
+        <scope>test</scope>
+    </dependency>
+</dependencies>
+
+</project>

langchain4j-ai-multimode/src/main/java/com/iwe3/langchain4j/MultiModelApplication.java

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+package com.iwe3.langchain4j;
+
+import org.springframework.boot.SpringApplication;
+import org.springframework.boot.autoconfigure.SpringBootApplication;
+
+@SpringBootApplication
+public class MultiModelApplication {
+    public static void main(String[] args) {
+        SpringApplication.run(MultiModelApplication.class);
+    }
+}

langchain4j-ai-multimode/src/main/java/com/iwe3/langchain4j/config/LLMConfig.java

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+package com.iwe3.langchain4j.config;
+
+import dev.langchain4j.model.chat.ChatModel;
+import dev.langchain4j.model.openai.OpenAiChatModel;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+
+@Configuration
+public class LLMConfig {
+
+    @Bean(name = "qwen")
+    public ChatModel chatModelQwen()
+    {
+        return OpenAiChatModel.builder()
+                .apiKey(System.getenv("DASH_SCOPE_API_KEY"))
+                .modelName("qwen-plus")
+                .baseUrl("https://dashscope.aliyuncs.com/compatible-mode/v1")
+                .build();
+    }
+
+    /**
+     * @Description:
+     * 知识出处，https://api-docs.deepseek.com/zh-cn/
+     */
+    @Bean(name = "deepseek")
+    public ChatModel chatModelDeepSeek()
+    {
+        return
+                OpenAiChatModel.builder()
+                        .apiKey(System.getenv("DEEP_SEEK_API_KEY"))
+                        .modelName("deepseek-chat")
+                        //.modelName("deepseek-reasoner")
+                        .baseUrl("https://api.deepseek.com/v1")
+                        .build();
+    }
+
+}

langchain4j-ai-multimode/src/main/java/com/iwe3/langchain4j/controller/MultiModelController.java

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+package com.iwe3.langchain4j.controller;
+
+import dev.langchain4j.model.chat.ChatModel;
+import jakarta.annotation.Resource;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.web.bind.annotation.GetMapping;
+import org.springframework.web.bind.annotation.RequestParam;
+import org.springframework.web.bind.annotation.RestController;
+
+@RestController
+@Slf4j
+public class MultiModelController
+{
+    @Resource(name = "qwen")
+    private ChatModel chatModelQwen;
+
+    @Resource(name = "deepseek")
+    private ChatModel chatModelDeepSeek;
+
+    // http://localhost:9002/multimodel/qwen?prompt=如何学习LangChain4J
+    @GetMapping(value = "/multimodel/qwen")
+    public String qwenCall(@RequestParam(value = "prompt", defaultValue = "你是谁") String prompt) {
+        var result = chatModelQwen.chat(prompt);
+        System.out.println("通过langchain4j调用模型返回结果：\n"+result);
+        return result;
+    }
+
+    // http://localhost:9002/multimodel/deepseek?prompt=如何学习LangChain4J
+    @GetMapping(value = "/multimodel/deepseek")
+    public String deepseekCall(@RequestParam(value = "prompt", defaultValue = "你是谁") String prompt){
+        var result = chatModelDeepSeek.chat(prompt);
+        System.out.println("通过langchain4j调用模型返回结果：\n"+result);
+        return result;
+    }
+}

langchain4j-ai-multimode/src/main/resources/application.yml

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+server:
+  port: 9002
+spring:
+  application:
+    name: langchain4j-ai-multimode