OoderAgent V3.5虚拟沙箱技术打破"一次性NLP"怪圈，让AI调试开发永不失效

ooder:
  cluster:
    registration:
      role: TEST_AGENT
      capabilities: closed-loop-test,sandbox-compile,deploy-target
  test:
    aiserver-url: ${AISERVER_URL:http://127.0.0.1:9004/aiserver}
    studio-url: ${STUDIO_URL:http://127.0.0.1:8099}

// 保存模块后，自动推送到沙箱
if (testDeployPushService != null) {
    try {
        String componentJson = designResult.getGenJson();
        testDeployPushService.pushDeployAsync(projectName, className, componentJson, null);
    } catch (Exception e) {
        log.debug("推送到ooder-test失败(非阻塞): {}", e.getMessage());
    }
}

public Map<String, Object> compileAndLoad(String className, String sourceCode) {
    // 1. 创建诊断收集器
    DiagnosticCollector<JavaFileObject> diagnostics = new DiagnosticCollector<>();

    // 2. 配置编译选项（关键：使用系统 classpath）
    List<String> options = Arrays.asList(
        "-d", outputDir.getAbsolutePath(),
        "-classpath", System.getProperty("java.class.path"),  // 访问真实业务依赖
        "-source", "11",
        "-target", "11"
    );

    // 3. 执行编译
    boolean compiled = task.call();

    // 4. 使用沙箱 ClassLoader 加载（隔离）
    SandboxClassLoader sandboxLoader = new SandboxClassLoader(outputDir);
    Class<?> loadedClass = sandboxLoader.loadClass(className);

    return result;
}

public class SceneConversationManager {
    // 场景上下文窗口：维护当前场景的完整状态
    private final Map<String, SceneContextWindow> contextWindows = new ConcurrentHashMap<>();

    // 知识层：三个维度的知识注入
    private final Map<String, List<KnowledgeLayer>> knowledgeLayers = new ConcurrentHashMap<>();
}

public class ToolContext {
    private String sessionId;      // 会话标识
    private String userId;         // 用户标识
    private Map<String, Object> attributes;  // 动态属性
}