examples: use OpenAILLMContext in all the examples
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@@ -20,10 +20,7 @@ from pipecat.frames.frames import (
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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.llm_response import (
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LLMUserResponseAggregator,
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LLMAssistantResponseAggregator,
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)
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from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
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from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
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from pipecat.processors.logger import FrameLogger
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from pipecat.services.cartesia import CartesiaHttpTTSService
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@@ -113,8 +110,8 @@ async def main():
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},
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]
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tma_in = LLMUserResponseAggregator(messages)
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tma_out = LLMAssistantResponseAggregator(messages)
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context = OpenAILLMContext(messages)
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context_aggregator = llm.create_context_aggregator(context)
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out_sound = OutboundSoundEffectWrapper()
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in_sound = InboundSoundEffectWrapper()
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fl = FrameLogger("LLM Out")
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@@ -123,7 +120,7 @@ async def main():
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pipeline = Pipeline(
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[
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transport.input(),
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tma_in,
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context_aggregator.user(),
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in_sound,
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fl2,
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llm,
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@@ -131,7 +128,7 @@ async def main():
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tts,
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out_sound,
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transport.output(),
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tma_out,
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context_aggregator.assistant(),
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]
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)
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