Add LLMRunFrame to trigger an LLM response, replacing context_aggregator.user().get_context_frame()
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@@ -13,6 +13,7 @@ from dotenv import load_dotenv
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from loguru import logger
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from pipecat.audio.vad.silero import SileroVADAnalyzer
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from pipecat.frames.frames import LLMRunFrame
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from pipecat.pipeline.pipeline import Pipeline
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from pipecat.pipeline.runner import PipelineRunner
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from pipecat.pipeline.task import PipelineParams, PipelineTask
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@@ -86,7 +87,7 @@ async def main():
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await transport.capture_participant_transcription(participant["id"])
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# Kick off the conversation.
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messages.append({"role": "system", "content": "Please introduce yourself to the user."})
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await task.queue_frames([context_aggregator.user().get_context_frame()])
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await task.queue_frames([LLMRunFrame()])
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@transport.event_handler("on_participant_left")
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async def on_participant_left(transport, participant, reason):
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