fix: await message confirmation interruption

backend/services/brains/base.py

@@ -95,6 +95,7 @@ class BrainRuntime:
     set_vision_scope: Callable[[dict[str, Any]], None] | None = None
     vision_function: Any = None
     set_input_enabled: Callable[[bool], None] | None = None
+    interrupt_output: Callable[[], Awaitable[None]] | None = None
     apply_turn_config: (
         Callable[[bool, dict[str, Any]], Awaitable[None]] | None
     ) = None

backend/services/brains/workflow_brain.py

@@ -19,7 +19,6 @@ from pipecat.flows import (
     NodeConfig,
 )
 from pipecat.frames.frames import (
-    InterruptionFrame,
     LLMRunFrame,
     LLMUpdateSettingsFrame,
     OutputTransportMessageUrgentFrame,
@@ -1098,10 +1097,12 @@ class WorkflowBrain(BaseBrain):
                 completion_policy == MESSAGE_CONFIRMATION
                 and result.action == "confirmed"
             ):
-                # The client-tool result closes the confirmation gate, while
-                # InterruptionFrame closes any speech still owned by this
-                # Message before the next node can enqueue new output.
-                await runtime.queue_frame(InterruptionFrame())
+                if runtime.interrupt_output is None:
+                    raise RuntimeError("当前管线不支持中断 Message 确认语音")
+                # Keep the client-tool result as the confirmation gate, then
+                # wait for the pipeline-owned interruption boundary before the
+                # next node is allowed to enqueue new output.
+                await runtime.interrupt_output()
             await self._emit_trace(
                 "message_completed",
                 nodeId=node_id,

backend/services/pipecat/pipeline.py

@@ -104,6 +104,17 @@ ON_DEMAND_KNOWLEDGE_SYSTEM_HINT = (
     "先调用 search_knowledge_base 检索；回答资料事实时只根据检索内容，"
     "资料不足要明确说明。"
 )
+
+
+async def _interrupt_pipeline_output(
+    source: FrameProcessor,
+    worker: PipelineWorker,
+) -> None:
+    """Broadcast an interruption and wait until it crosses the media pipeline."""
+    await source.broadcast_interruption()
+    await worker.flush_pipeline(timeout=1.0)
+
+
 def _compact_knowledge_metadata(value: str, max_length: int) -> str:
     """Keep tool metadata useful without letting it dominate the model context."""
     compact = " ".join(value.split())
@@ -733,6 +744,10 @@ async def run_pipeline(
         current_enable_interrupt = enable_interrupt
         current_turn_config = normalized
 
+    async def interrupt_output() -> None:
+        """Stop active output through the same boundary as text/voice input."""
+        await _interrupt_pipeline_output(user_input, worker)
+
 
     def set_system_prompt(text: str) -> None:
         """替换上下文里的系统提示(节点切换时整体替换,而非追加)。"""
@@ -766,6 +781,7 @@ async def run_pipeline(
             set_vision_scope=lambda scope: workflow_vision_scope.update(scope),
             vision_function=workflow_vision_function,
             set_input_enabled=lambda enabled: input_state.__setitem__("enabled", enabled),
+            interrupt_output=interrupt_output,
             apply_turn_config=apply_workflow_turn_config,
             flow_global_functions=flow_global_functions,
         ),