Progress on updating foundational examples to avoid using the newly-deprecated LLMMessagesFrame.
Skipping over 07b-interruptible-langchain.py for now, as it requires deeper changes involving `LLMUserResponseAggregator` and `LLMAssistantResponseAggregator`.
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@@ -9,10 +9,14 @@ import os
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from dotenv import load_dotenv
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from loguru import logger
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from pipecat.frames.frames import EndFrame, LLMMessagesFrame
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from pipecat.frames.frames import EndFrame
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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 PipelineTask
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from pipecat.processors.aggregators.openai_llm_context import (
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OpenAILLMContext,
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OpenAILLMContextFrame,
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)
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from pipecat.runner.types import RunnerArguments
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from pipecat.runner.utils import create_transport
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from pipecat.services.cartesia.tts import CartesiaTTSService
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@@ -59,7 +63,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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# Register an event handler so we can play the audio when the client joins
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@transport.event_handler("on_client_connected")
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async def on_client_connected(transport, client):
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await task.queue_frames([LLMMessagesFrame(messages), EndFrame()])
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await task.queue_frames([OpenAILLMContextFrame(OpenAILLMContext(messages)), EndFrame()])
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runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
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