application.yml

我将为您提供AI小龙虾OPENCLAW与Java集成的详细说明，OPENCLAW是一个基于深度学习的自然语言处理模型,以下是几种常见的集成方式：

REST API 集成（推荐）

基础配置

import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.time.Duration;
public class OpenClawClient {
    private static final String API_URL = "http://localhost:8000";
    private static final String API_KEY = "your-api-key";
    private final HttpClient client;
    public OpenClawClient() {
        this.client = HttpClient.newBuilder()
                .connectTimeout(Duration.ofSeconds(30))
                .build();
    }

API调用示例

// 文本生成请求
public String generateText(String prompt, int maxTokens) throws Exception {
    String requestBody = String.format(
        "{\"prompt\": \"%s\", \"max_tokens\": %d, \"temperature\": 0.7}",
        prompt.replace("\"", "\\\""), maxTokens
    );
    HttpRequest request = HttpRequest.newBuilder()
            .uri(URI.create(API_URL + "/v1/generate"))
            .header("Content-Type", "application/json")
            .header("Authorization", "Bearer " + API_KEY)
            .POST(HttpRequest.BodyPublishers.ofString(requestBody))
            .build();
    HttpResponse<String> response = client.send(
        request, HttpResponse.BodyHandlers.ofString()
    );
    if (response.statusCode() == 200) {
        // 解析JSON响应
        return parseResponse(response.body());
    } else {
        throw new RuntimeException("API请求失败: " + response.statusCode());
    }
}
// 批量处理
public List<String> batchProcess(List<String> prompts) {
    return prompts.parallelStream()
            .map(prompt -> {
                try {
                    return generateText(prompt, 100);
                } catch (Exception e) {
                    return "处理失败: " + e.getMessage();
                }
            })
            .collect(Collectors.toList());
}

使用HTTP客户端库（如OkHttp）

<!-- Maven依赖 -->
<dependency>
    <groupId>com.squareup.okhttp3</groupId>
    <artifactId>okhttp</artifactId>
    <version>4.10.0</version>
</dependency>

import okhttp3.*;
public class OpenClawHttpClient {
    private static final MediaType JSON = MediaType.get("application/json");
    private final OkHttpClient client = new OkHttpClient();
    public String callOpenClaw(String prompt) throws IOException {
        String json = String.format(
            "{\"prompt\":\"%s\",\"parameters\":{\"temperature\":0.8}}",
            prompt
        );
        RequestBody body = RequestBody.create(json, JSON);
        Request request = new Request.Builder()
                .url("http://localhost:8000/generate")
                .post(body)
                .addHeader("X-API-Key", API_KEY)
                .build();
        try (Response response = client.newCall(request).execute()) {
            if (response.isSuccessful()) {
                return response.body().string();
            }
            throw new IOException("请求失败: " + response.code());
        }
    }
}

使用WebSocket实时通信

import javax.websocket.*;
import java.net.URI;
@ClientEndpoint
public class OpenClawWebSocketClient {
    private Session session;
    public void connect(String endpoint) throws Exception {
        WebSocketContainer container = ContainerProvider.getWebSocketContainer();
        session = container.connectToServer(this, new URI(endpoint));
    }
    @OnOpen
    public void onOpen(Session session) {
        System.out.println("已连接到OPENCLAW服务");
    }
    @OnMessage
    public void onMessage(String message) {
        // 处理流式响应
        System.out.println("收到: " + message);
    }
    public void sendPrompt(String prompt) throws IOException {
        session.getBasicRemote().sendText(
            String.format("{\"action\":\"generate\",\"prompt\":\"%s\"}", prompt)
        );
    }
}

集成Spring Boot

配置类

@Configuration
public class OpenClawConfig {
    @Value("${openclaw.api.url}")
    private String apiUrl;
    @Value("${openclaw.api.key}")
    private String apiKey;
    @Bean
    public RestTemplate openClawRestTemplate() {
        RestTemplate restTemplate = new RestTemplate();
        restTemplate.getInterceptors().add((request, body, execution) -> {
            request.getHeaders().add("Authorization", "Bearer " + apiKey);
            return execution.execute(request, body);
        });
        return restTemplate;
    }
    @Bean
    public OpenClawService openClawService(RestTemplate restTemplate) {
        return new OpenClawService(restTemplate, apiUrl);
    }
}

服务类

@Service
public class OpenClawService {
    private final RestTemplate restTemplate;
    private final String apiUrl;
    public OpenClawService(RestTemplate restTemplate, String apiUrl) {
        this.restTemplate = restTemplate;
        this.apiUrl = apiUrl;
    }
    public OpenClawResponse generateText(OpenClawRequest request) {
        HttpEntity<OpenClawRequest> entity = new HttpEntity<>(request);
        ResponseEntity<OpenClawResponse> response = restTemplate.exchange(
            apiUrl + "/generate",
            HttpMethod.POST,
            entity,
            OpenClawResponse.class
        );
        return response.getBody();
    }
    // DTO类
    @Data
    @NoArgsConstructor
    @AllArgsConstructor
    public static class OpenClawRequest {
        private String prompt;
        private Integer maxTokens = 100;
        private Double temperature = 0.7;
        private Double topP = 0.9;
    }
    @Data
    @NoArgsConstructor
    @AllArgsConstructor
    public static class OpenClawResponse {
        private String text;
        private Long tokensUsed;
        private Long processingTime;
    }
}

异步处理与性能优化

import java.util.concurrent.CompletableFuture;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
@Service
public class AsyncOpenClawService {
    private final ExecutorService executor = Executors.newFixedThreadPool(10);
    public CompletableFuture<String> generateAsync(String prompt) {
        return CompletableFuture.supplyAsync(() -> {
            try {
                // 调用OPENCLAW API
                return callOpenClawAPI(prompt);
            } catch (Exception e) {
                throw new RuntimeException(e);
            }
        }, executor);
    }
    public CompletableFuture<List<String>> generateBatchAsync(List<String> prompts) {
        List<CompletableFuture<String>> futures = prompts.stream()
                .map(this::generateAsync)
                .collect(Collectors.toList());
        return CompletableFuture.allOf(
                futures.toArray(new CompletableFuture[0])
        ).thenApply(v -> futures.stream()
                .map(CompletableFuture::join)
                .collect(Collectors.toList())
        );
    }
}

错误处理与重试机制

import org.springframework.retry.annotation.Backoff;
import org.springframework.retry.annotation.Retryable;
@Service
public class RobustOpenClawService {
    @Retryable(
        value = {OpenClawException.class},
        maxAttempts = 3,
        backoff = @Backoff(delay = 1000, multiplier = 2)
    )
    public String generateWithRetry(String prompt) throws OpenClawException {
        try {
            // API调用
            return callOpenClawAPI(prompt);
        } catch (Exception e) {
            throw new OpenClawException("API调用失败", e);
        }
    }
    // 降级策略
    @CircuitBreaker(
        name = "openclawService",
        fallbackMethod = "fallbackGenerate"
    )
    public String generateWithCircuitBreaker(String prompt) {
        return callOpenClawAPI(prompt);
    }
    public String fallbackGenerate(String prompt, Throwable t) {
        // 返回默认响应或缓存结果
        return "服务暂时不可用，请稍后重试";
    }
}

配置文件示例

  api:
    url: ${OPENCLAW_API_URL:http://localhost:8000}
    key: ${OPENCLAW_API_KEY:your-api-key}
    timeout: 30000
    max-retries: 3
    batch-size: 10
  model:
    name: "openclaw-large"
    temperature: 0.7
    max-tokens: 512
  cache:
    enabled: true
    ttl: 3600

测试用例

@SpringBootTest
class OpenClawIntegrationTest {
    @Autowired
    private OpenClawService openClawService;
    @Test
    void testTextGeneration() {
        OpenClawRequest request = new OpenClawRequest(
            "请解释Java多线程编程",
            200,
            0.7,
            0.9
        );
        OpenClawResponse response = openClawService.generateText(request);
        assertNotNull(response);
        assertNotNull(response.getText());
        assertTrue(response.getText().length() > 0);
    }
    @Test
    void testConcurrentRequests() throws InterruptedException {
        ExecutorService executor = Executors.newFixedThreadPool(5);
        CountDownLatch latch = new CountDownLatch(10);
        for (int i = 0; i < 10; i++) {
            executor.submit(() -> {
                try {
                    openClawService.generateText(new OpenClawRequest("测试", 50, 0.7, 0.9));
                } finally {
                    latch.countDown();
                }
            });
        }
        latch.await(30, TimeUnit.SECONDS);
        executor.shutdown();
    }
}

最佳实践建议

1. 连接池管理：使用HTTP连接池避免频繁创建连接
2. 超时设置：合理设置连接、读取超时时间
3. 限流控制：实现请求限流避免服务过载
4. 监控指标：集成Micrometer等监控工具
5. 缓存策略：对重复请求实现缓存机制
6. 异步处理：对于长文本生成使用异步调用

根据您的具体需求选择合适的集成方式，如果OPENCLAW提供Java SDK,建议优先使用官方SDK以获得更好的兼容性和支持。

标签： 配置文件 服务配置