examples: use OpenAILLMContext in all the examples
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@@ -16,10 +16,7 @@ from pipecat.frames.frames import Frame, OutputImageRawFrame, SystemFrame, TextF
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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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LLMAssistantResponseAggregator,
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LLMUserResponseAggregator,
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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.services.cartesia import CartesiaHttpTTSService
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from pipecat.services.openai import OpenAILLMService
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@@ -105,8 +102,8 @@ 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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image_sync_aggregator = ImageSyncAggregator(
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os.path.join(os.path.dirname(__file__), "assets", "speaking.png"),
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@@ -117,11 +114,11 @@ async def main():
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[
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transport.input(),
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image_sync_aggregator,
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tma_in,
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context_aggregator.user(),
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llm,
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tts,
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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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