Add LLMRunFrame to trigger an LLM response, replacing context_aggregator.user().get_context_frame()
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@@ -15,6 +15,7 @@ from pipecat.frames.frames import (
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BotStartedSpeakingFrame,
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BotStoppedSpeakingFrame,
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Frame,
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LLMRunFrame,
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OutputImageRawFrame,
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)
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from pipecat.pipeline.pipeline import Pipeline
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@@ -144,7 +145,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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async def on_client_connected(transport, client):
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logger.info(f"Client connected")
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# Kick off the conversation.
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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_client_disconnected")
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async def on_client_disconnected(transport, client):
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