Spring Boot实现智能体实时流式响应
Spring Boot SSE 流式输出实现智能体实时响应
SSE（Server-Sent Events）是一种基于HTTP的服务器推送技术，适用于需要实时单向通信的场景。结合Spring Boot可以轻松实现智能体的流式响应输出。
核心实现步骤
在Spring Boot中创建一个SSE控制器，使用SseEmitter类处理长连接。以下是一个基础实现示例：
@RestController
@RequestMapping("/sse")
public class SseController {
private final Map<String, SseEmitter> emitters = new ConcurrentHashMap<>();
@GetMapping("/connect")
public SseEmitter connect(@RequestParam String clientId) {
SseEmitter emitter = new SseEmitter(30_000L); // 30秒超时
emitters.put(clientId, emitter);
emitter.onCompletion(() -> emitters.remove(clientId));
emitter.onTimeout(() -> emitters.remove(clientId));
return emitter;
}
@PostMapping("/send")
public void sendMessage(@RequestParam String clientId,
@RequestBody String message) {
SseEmitter emitter = emitters.get(clientId);
if (emitter != null) {
try {
emitter.send(SseEmitter.event()
.data(message)
.name("ai-response"));
} catch (IOException e) {
emitters.remove(clientId);
}
}
}
}
智能体集成方案
将SSE与智能体处理逻辑结合，实现分块流式输出。以下是AI处理流程的典型集成方式：
public void streamAIResponse(String query, String clientId) {
CompletableFuture.runAsync(() -> {
SseEmitter emitter = emitters.get(clientId);
AIStreamProcessor processor = new AIStreamProcessor();
processor.process(query, chunk -> {
if (emitter != null) {
try {
emitter.send(chunk);
} catch (IOException ex) {
// 处理异常
}
}
});
emitter.complete();
});
}
前端对接实现
前端使用EventSource API接收SSE流：
const eventSource = new EventSource('/sse/connect?clientId=123');
eventSource.addEventListener('ai-response', (e) => {
const data = JSON.parse(e.data);
// 处理实时数据
});
eventSource.onerror = (err) => {
// 处理连接错误
};
性能优化技巧
设置合适的超时时间和心跳机制保持连接活跃。在application.properties中配置：
spring.mvc.async.request-timeout=60000
实现心跳检测：
@Scheduled(fixedRate = 15000)
public void sendHeartbeat() {
emitters.forEach((id, emitter) -> {
try {
emitter.send(SseEmitter.event()
.comment("heartbeat"));
} catch (IOException ignored) {}
});
}
异常处理策略
实现完善的错误处理和重连机制：
emitter.onError((ex) -> {
// 记录错误日志
emitters.remove(clientId);
// 可选的重连逻辑
});
安全增强措施
添加认证和授权控制：
@GetMapping("/connect")
public SseEmitter connect(@RequestParam String token) {
if (!authService.validateToken(token)) {
throw new SecurityException("Invalid token");
}
// 其余连接逻辑
}
扩展应用场景
该模式适用于多种实时智能交互场景：
- 聊天机器人对话流
- 实时数据分析仪表盘
- 长流程任务状态更新
- 物联网设备事件推送
通过合理设计事件类型和数据格式，可以构建复杂的实时交互系统。事件命名规范化和结构化数据设计能显著提升系统可维护性。
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