SpringBoot轻松集成豆包AI

Spring Boot 集成豆包AI

Spring Boot 是一个流行的 Java 开发框架，用于快速构建企业级应用程序。豆包AI 是一个智能对话平台，提供自然语言处理和对话生成能力。将豆包AI集成到Spring Boot项目中可以实现智能对话功能。

添加依赖 在项目的 pom.xml 文件中添加必要的依赖项，确保能够调用豆包AI的API和进行HTTP请求。

<dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency><groupId>org.apache.httpcomponents</groupId><artifactId>httpclient</artifactId><version>4.5.13</version>
</dependency>

配置API密钥 在 application.properties 或 application.yml 文件中配置豆包AI的API密钥和基础URL。

doubao.api.key=your_api_key_here
doubao.api.url=https://api.doubao.ai/v1/chat/completions

创建配置类 创建一个配置类来管理HTTP客户端，用于发送请求到豆包AI的API。

@Configuration
public class HttpClientConfig {@Beanpublic CloseableHttpClient httpClient() {return HttpClientBuilder.create().build();}
}

创建服务类 实现一个服务类来处理与豆包AI的交互，包括构建请求和解析响应。

@Service
public class DoubaoAIService {@Value("${doubao.api.key}")private String apiKey;@Value("${doubao.api.url}")private String apiUrl;@Autowiredprivate CloseableHttpClient httpClient;public String getResponse(String prompt) throws IOException {HttpPost httpPost = new HttpPost(apiUrl);httpPost.setHeader("Authorization", "Bearer " + apiKey);httpPost.setHeader("Content-Type", "application/json");String requestBody = String.format("{\"prompt\":\"%s\"}", prompt);httpPost.setEntity(new StringEntity(requestBody));CloseableHttpResponse response = httpClient.execute(httpPost);String responseBody = EntityUtils.toString(response.getEntity());response.close();return responseBody;}
}

创建控制器 创建一个控制器来处理Web请求，将用户输入传递给豆包AI服务并返回响应。

@RestController
@RequestMapping("/api/chat")
public class ChatController {@Autowiredprivate DoubaoAIService doubaoAIService;@PostMappingpublic ResponseEntity<String> chat(@RequestBody String prompt) {try {String response = doubaoAIService.getResponse(prompt);return ResponseEntity.ok(response);} catch (IOException e) {return ResponseEntity.status(HttpStatus.INTERNAL_SERVER_ERROR).body("Error contacting Doubao AI");}}
}

测试集成

使用Postman或curl测试集成是否成功，发送POST请求到 /api/chat 端点并检查豆包AI的响应。

curl -X POST -H "Content-Type: application/json" -d '{"prompt":"你好"}' http://localhost:8080/api/chat

异常处理

增强服务的健壮性，添加异常处理逻辑以应对网络问题或API限制。

@Service
public class DoubaoAIService {// ... existing code ...public String getResponse(String prompt) throws IOException {try {HttpPost httpPost = new HttpPost(apiUrl);httpPost.setHeader("Authorization", "Bearer " + apiKey);httpPost.setHeader("Content-Type", "application/json");String requestBody = String.format("{\"prompt\":\"%s\"}", prompt);httpPost.setEntity(new StringEntity(requestBody));CloseableHttpResponse response = httpClient.execute(httpPost);String responseBody = EntityUtils.toString(response.getEntity());response.close();return responseBody;} catch (Exception e) {throw new IOException("Failed to get response from Doubao AI", e);}}
}

性能优化

考虑使用缓存或异步处理来提高性能，特别是当豆包AI的响应时间较长时。

@RestController
@RequestMapping("/api/chat")
public class ChatController {@Autowiredprivate DoubaoAIService doubaoAIService;@PostMappingpublic CompletableFuture<ResponseEntity<String>> chat(@RequestBody String prompt) {return CompletableFuture.supplyAsync(() -> {try {String response = doubaoAIService.getResponse(prompt);return ResponseEntity.ok(response);} catch (IOException e) {return ResponseEntity.status(HttpStatus.INTERNAL_SERVER_ERROR).body("Error contacting Doubao AI");}});}
}

以下是豆包核心功能的简化Java实现示例，包含基础消息处理逻辑和交互流程：

消息处理核心类

public class DouBaoMessageHandler {private final Map<String, String> contextMap = new ConcurrentHashMap<>();public String processInput(String userInput, String sessionId) {contextMap.putIfAbsent(sessionId, "default_context");String processedInput = preprocessText(userInput);String response = generateResponse(processedInput, sessionId);return postProcessResponse(response);}private String preprocessText(String text) {return text.trim().toLowerCase();}private String generateResponse(String input, String sessionId) {// 实际应用中替换为NLP模型调用if (input.contains("你好")) {return "你好！我是豆包，有什么可以帮您？";}return "抱歉，我还没学会回答这个问题。";}private String postProcessResponse(String response) {return response + "\n[豆包AI]";}
}

网络服务接口

@RestController
@RequestMapping("/api/doubao")
public class DouBaoController {private final DouBaoMessageHandler handler = new DouBaoMessageHandler();@PostMapping("/chat")public ResponseEntity<ChatResponse> handleChat(@RequestBody ChatRequest request,@RequestH