fix: intent阻塞主线程

main/xiaozhi-server/core/handle/intentHandler.py

@@ -118,8 +118,17 @@ async def process_intent_result(
 
                                         请根据以上信息回答用户的问题：{original_text}"""
 
-                    response = conn.intent.replyResult(context_prompt, original_text)
-                    speak_txt(conn, response)
+                    # 使用异步调用避免阻塞事件循环，影响其他设备的音频播放
+                    try:
+                        response = asyncio.run_coroutine_threadsafe(
+                            conn.intent.replyResult(context_prompt, original_text),
+                            conn.loop,
+                        ).result()
+                    except Exception as e:
+                        conn.logger.bind(tag=TAG).error(f"LLM生成回复失败: {e}")
+                        response = None
+                    if response:
+                        speak_txt(conn, response)
 
                 conn.executor.submit(process_context_result)
                 return True
@@ -184,7 +193,15 @@ async def process_intent_result(
                     elif result.action == Action.REQLLM:  # 调用函数后再请求llm生成回复
                         text = result.result
                         conn.dialogue.put(Message(role="tool", content=text))
-                        llm_result = conn.intent.replyResult(text, original_text)
+                        # 使用异步调用避免阻塞事件循环，影响其他设备的音频播放
+                        try:
+                            llm_result = asyncio.run_coroutine_threadsafe(
+                                conn.intent.replyResult(text, original_text),
+                                conn.loop,
+                            ).result()
+                        except Exception as e:
+                            conn.logger.bind(tag=TAG).error(f"LLM生成回复失败: {e}")
+                            llm_result = text
                         if llm_result is None:
                             llm_result = text
                         speak_txt(conn, llm_result)

main/xiaozhi-server/core/providers/intent/intent_llm/intent_llm.py

@@ -1,3 +1,4 @@
+import asyncio
 from typing import List, Dict, TYPE_CHECKING
 
 if TYPE_CHECKING:
@@ -120,12 +121,18 @@ class IntentProvider(IntentProviderBase):
         )
         return prompt
 
-    def replyResult(self, text: str, original_text: str):
+    async def replyResult(self, text: str, original_text: str):
+        """使用 asyncio.to_thread 避免阻塞事件循环"""
         try:
-            llm_result = self.llm.response_no_stream(
+            user_prompt = (
+                "请根据以上内容，像人类一样说话的口吻回复用户，要求简洁，请直接返回结果。用户现在说："
+                + original_text
+            )
+            # 使用 to_thread 将同步阻塞调用放到线程池中执行，不阻塞事件循环
+            llm_result = await asyncio.to_thread(
+                self.llm.response_no_stream,
                 system_prompt=text,
-                user_prompt="请根据以上内容，像人类一样说话的口吻回复用户，要求简洁，请直接返回结果。用户现在说："
-                + original_text,
+                user_prompt=user_prompt,
             )
             return llm_result
         except Exception as e:
@@ -207,8 +214,11 @@ class IntentProvider(IntentProviderBase):
         logger.bind(tag=TAG).debug(f"开始LLM意图识别调用, 模型: {model_info}")
 
         try:
-            intent = self.llm.response_no_stream(
-                system_prompt=prompt_music, user_prompt=user_prompt
+            # 使用 to_thread 将同步阻塞调用放到线程池中，避免阻塞事件循环
+            intent = await asyncio.to_thread(
+                self.llm.response_no_stream,
+                system_prompt=prompt_music,
+                user_prompt=user_prompt,
             )
         except Exception as e:
             logger.bind(tag=TAG).error(f"Error in intent detection LLM call: {e}")