Call ends but not TTSSpeak?
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@@ -615,25 +615,11 @@ async def run_bot(room_url: str, token: str, body: dict) -> None:
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# Generate voicemail message
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message = "Hello, this is a message for Pipecat example user. This is Chatbot. Please call back on 123-456-7891. Thank you."
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logger.info(f"🎤 SENDING VOICEMAIL MESSAGE: {message}")
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await voicemail_tts.queue_frame(TTSSpeakFrame(text=message))
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await params.llm.push_frame(TTSSpeakFrame(text=message))
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logger.warning(
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f"📩️ EndTaskFrame upstream routing seems blocked - using direct EndFrame approach"
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)
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# Direct approach: Send EndFrame directly to the pipeline task
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# This bypasses the complex ParallelPipeline routing that seems to be blocking EndTaskFrame
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await pipeline_task.queue_frame(EndFrame())
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logger.warning(f"📩️ EndFrame sent directly to pipeline task")
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# await pipeline_task.cancel()
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# logger.debug(f"📩️ Pushing EndTaskFrame")
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# await voicemail_tts.queue_frame(EndTaskFrame(), FrameDirection.UPSTREAM)
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# logger.debug(f"📩️ Pushing CancelTaskFrame")
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# await voicemail_tts.queue_frame(CancelTaskFrame(), FrameDirection.UPSTREAM)
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# logger.debug(f"📩️ Pushing both")
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# await pipeline_task.queue_frames([EndTaskFrame(), CancelTaskFrame()])
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await params.result_callback({"confidence": f"{confidence}", "reasoning": reasoning})
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# Following the official Pipecat docs: "From inside the pipeline, push upstream to reach the source"
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logger.warning(f"📩️ Using correct pattern: EndTaskFrame upstream from function call")
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await params.llm.push_frame(EndTaskFrame(), FrameDirection.UPSTREAM)
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await params.result_callback({"confidence": f"{confidence}", "reasoning": reasoning})
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@@ -36,6 +36,7 @@ dependencies = [
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"openai>=1.74.0,<=1.99.1",
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# Pinning numba to resolve package dependencies
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"numba==0.61.2",
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"pipecat-ai-flows>=0.0.18",
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]
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[project.urls]
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