examples: use OpenAILLMContext in all the examples
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@@ -7,11 +7,8 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
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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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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.frames.frames import LLMMessagesFrame, EndFrame
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from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
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from pipecat.services.openai import OpenAILLMService
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from pipecat.services.elevenlabs import ElevenLabsTTSService
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from pipecat.transports.services.daily import DailyParams, DailyTransport
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@@ -60,17 +57,17 @@ async def main(room_url: str, token: str):
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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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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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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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