refactor(llm): 重构AI代理平台服务接口和实现

- 修改LLMAiAgentPlatformService.query方法签名，添加TTS相关参数
- 更新FlowActionExecutorService中的AI代理平台调用逻辑
- 移除FlowHttpNodeHandler中的formData清理逻辑
- 简化FlowNodeParamPreparer中参数准备逻辑
- 更新LLMAiAgentPlatformOperateService参数解析结构
- 修改LlmChatService.chat方法添加TTS配置参数
- 实现TTS播放控制功能，支持配置化语音合成参数
- 更新意图识别和工作流调用服务兼容性适配

cmvr-iot-api/cmvr-iot-llm/src/main/java/com/cmvr/llm/service/LLMAiAgentPlatformService.java

@@ -3,5 +3,5 @@ package com.cmvr.llm.service;
 import com.alibaba.fastjson2.JSONObject;
 
 public interface LLMAiAgentPlatformService {
-    JSONObject query(String action, String text, String apiKey);
+    JSONObject query(String action, String text, String apiKey, Boolean invokeTts, JSONObject config);
 }

cmvr-iot-api/cmvr-iot-llm/src/main/java/com/cmvr/llm/service/WorkflowInvokeServiceCopy.java

@@ -90,7 +90,9 @@ public class WorkflowInvokeServiceCopy {
                     appKey,  // apiKey (header用)
                     appId,  // apiId (body的AppKey)
                     "user_123",               // userId
-                    body
+                    body,
+                    false,
+                    null
             );
             System.out.println( result);
             System.out.println("总耗时：" + (System.currentTimeMillis() - startTime));

cmvr-iot-api/cmvr-iot-llm/src/main/java/com/cmvr/llm/service/impl/LLMAiAgentPlatformServiceImpl.java

@@ -14,7 +14,7 @@ import java.util.Map;
 public class LLMAiAgentPlatformServiceImpl  implements LLMAiAgentPlatformService {
     private final LlmChatService llmChatService;
     @Override
-    public JSONObject query(String action, String text, String apiKey) {
+    public JSONObject query(String action, String text, String apiKey, Boolean invokeTts, JSONObject config) {
         Map<String, Object> body = new HashMap<>();
         body.put("Query", text);
         long startTime = System.currentTimeMillis();
@@ -24,7 +24,9 @@ public class LLMAiAgentPlatformServiceImpl  implements LLMAiAgentPlatformService
                     apiKey,  // apiKey (header用)
                     apiKey,  // apiId (body的AppKey)
                     "user_123",               // userId
-                    body
+                    body,
+                    invokeTts,
+                    config
             );
             System.out.println( result);
             System.out.println("总耗时：" + (System.currentTimeMillis() - startTime));

cmvr-iot-api/cmvr-iot-llm/src/main/java/com/cmvr/llm/service/impl/LLMIntentRecognitionServiceImpl.java

@@ -36,7 +36,9 @@ public class LLMIntentRecognitionServiceImpl implements LLMIntentRecognitionServ
                     acg.getAppKey(),  // apiKey (header用)
                     acg.getAppId(),  // apiId (body的AppKey)
                     "user_123",               // userId
-                    body
+                    body,
+                    false,
+                    null
             );
             System.out.println( result);
             System.out.println("总耗时：" + (System.currentTimeMillis() - startTime));

cmvr-iot-api/cmvr-iot-llm/src/main/java/com/cmvr/llm/util/LlmChatService.java

@@ -1,5 +1,6 @@
 package com.cmvr.llm.util;
 
+import com.alibaba.fastjson2.JSONObject;
 import com.cmvr.llm.service.LLMAiTtsService;
 import com.fasterxml.jackson.databind.ObjectMapper;
 import okhttp3.*;
@@ -50,7 +51,7 @@ public class LlmChatService {
      * @param body    请求体，必须包含Query字段，可选Name等
      * @return 完整AI回复字符串
      */
-    public String chat(String apiKey, String apiId, String userId, Map<String, Object> body) throws IOException {
+    public String chat(String apiKey, String apiId, String userId, Map<String, Object> body, boolean playTts, JSONObject ttsConfig) throws IOException {
         String cacheKey = apiKey + "|" + apiId + "|" + userId;
 
         // 获取或创建会话（严格保持原createConversation逻辑）
@@ -78,7 +79,7 @@ public class LlmChatService {
         }
 
         // 执行流式请求并同步返回完整结果
-        return executeSseRequestSync(apiKey, requestBody);
+        return executeSseRequestSync(apiKey, requestBody, playTts, ttsConfig);
     }
 
     /**
@@ -130,7 +131,7 @@ public class LlmChatService {
     /**
      * 执行SSE请求 - 完全保持原executeSseRequest逻辑，改为同步返回
      */
-    private String executeSseRequestSync(String apiKey, Map<String, Object> requestBody) throws IOException {
+    private String executeSseRequestSync(String apiKey, Map<String, Object> requestBody, boolean playTts, JSONObject ttsConfig) throws IOException {
         String jsonBody = objectMapper.writeValueAsString(requestBody);
 
         Request request = new Request.Builder()
@@ -286,6 +287,7 @@ public class LlmChatService {
             private void processBufferIfNeed() {
                 if (interrupted.get()) return;
                 if (!true) return;
+                if (!playTts) return;
 
                 sentenceExecutor.submit(() -> {
                     while (true) {
@@ -316,7 +318,7 @@ public class LlmChatService {
 
                             if (!sentence.isEmpty()) {
                                 if (interrupted.get()) return;
-                                yourAsyncMethod(sentence);
+                                yourAsyncMethod(sentence, ttsConfig);
                             }
 
                             // 处理完继续循环，看是否还有新句子
@@ -355,10 +357,10 @@ public class LlmChatService {
         return fullContent.toString();
     }
 
-    private void yourAsyncMethod(String sentence) {
+    private void yourAsyncMethod(String sentence, JSONObject ttsConfig) {
         try {
             System.out.println("正在处理句子: " + sentence);
-            llmAiTtsService.play("http://127.0.0.1:8080/tts/play", sentence, "x4_yezi", "50", "80");
+            llmAiTtsService.play(ttsConfig.getString("url"), sentence, ttsConfig.getString("voice"), ttsConfig.getString("speed"), ttsConfig.getString("volume"));
         } catch (Exception e) {
             throw new RuntimeException(e);
         }

cmvr-iot-test/src/main/java/com/cmvr/test/flow/runtime/dispatcher/FlowHttpNodeHandler.java

@@ -40,7 +40,6 @@ public class FlowHttpNodeHandler implements FlowNodeTypeHandler {
             Object bodyCfg = null;
             if (!"json".equals(body.getString("bodyType"))) {
                 JSONObject formData = body.getJSONObject("formData");
-                formData.remove("_self_");
                 bodyCfg = formData;
             } else {
                 bodyCfg = body.get("json");

cmvr-iot-test/src/main/java/com/cmvr/test/flow/runtime/engine/support/FlowNodeParamPreparer.java

@@ -124,11 +124,8 @@ public class FlowNodeParamPreparer {
                 input.put(param.getName(), val);
             }
             if (!CollectionUtil.isEmpty(param.getChildren())) {
-                JSONObject inputParams = getInputParams(graph, param.getChildren(), rootMessage);
-                // 添加 _self_ 参数，用于在子参数中引用父参数
-                inputParams.put("_self_",input.get(param.getName()));
                 // 添加子参数
-                input.put(param.getName(), inputParams);
+                input.put(param.getName(), getInputParams(graph, param.getChildren(), rootMessage));
             }
         }
         return input;

cmvr-iot-test/src/main/java/com/cmvr/test/flow/runtime/operator/llm/LLMAiAgentPlatformOperateService.java

@@ -12,6 +12,7 @@ import org.springframework.stereotype.Service;
 
 @Slf4j
 @Service
+
 @RequiredArgsConstructor
 public class LLMAiAgentPlatformOperateService implements LLMOperateService {
 
@@ -26,10 +27,11 @@ public class LLMAiAgentPlatformOperateService implements LLMOperateService {
     public TaskNodeExecuteResult execute(TaskNodeExecuteMessage message) {
         ActionEnum action = message.getAction();
         JSONObject inputParams = message.getInputParams();
-        String text = inputParams.getString("text");
+        JSONObject config = inputParams.getJSONObject("config");
-        String apiKey = inputParams.getString("apiKey");
+        String text = config.getString("text");
-
+        String apiKey = config.getString("apiKey");
-        JSONObject output = llmAiAgentPlatformService.query(action.name(), text, apiKey);
+        Boolean invokeTts = inputParams.getBoolean("invokeTts");
+        JSONObject output =llmAiAgentPlatformService.query(action.name(), text, apiKey, invokeTts, inputParams.getJSONObject("tts"));
 
         return TaskNodeExecuteResult.success(output);
     }

cmvr-iot-test/src/main/java/com/cmvr/test/service/FlowActionExecutorService.java

@@ -120,7 +120,7 @@ public class FlowActionExecutorService {
             case GENERATE_ADVANCED_AUDIO:
                 return "LLM 高级音频生成 OK";
             case AI_AGENT_PLATFORM:
-                return llmAiAgentPlatformService.query(action.getAction(), req.getPayload().getString("text"), req.getPayload().getString("apiKey")).toString();
+                return llmAiAgentPlatformService.query(action.getAction(), req.getPayload().getJSONObject("config").getString("text"), req.getPayload().getJSONObject("config").getString("apiKey"), req.getPayload().getBoolean("invokeTts"), req.getPayload().getJSONObject("tts")).toString();
             default:
                 throw new UnsupportedOperationException("未实现的 LLM Action: " + action);
         }