examples: update with LLMUserAggregatorParams vad_analyzer and VADProcessor
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@@ -20,7 +20,10 @@ 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_context import LLMContext
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from pipecat.processors.aggregators.llm_response_universal import LLMContextAggregatorPair
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from pipecat.processors.aggregators.llm_response_universal import (
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LLMContextAggregatorPair,
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LLMUserAggregatorParams,
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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.google.gemini_live.llm import GeminiLiveLLMService
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@@ -58,36 +61,20 @@ You have three tools available to you:
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"""
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# We store functions so objects (e.g. SileroVADAnalyzer) don't get
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# instantiated. The function will be called when the desired transport gets
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# selected.
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# We use lambdas to defer transport parameter creation until the transport
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# type is selected at runtime.
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transport_params = {
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"daily": lambda: DailyParams(
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audio_in_enabled=True,
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audio_out_enabled=True,
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# set stop_secs to something roughly similar to the internal setting
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# of the Multimodal Live api, just to align events. This doesn't really
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# matter because we can only use the Multimodal Live API's phrase
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# endpointing, for now.
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vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.5)),
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),
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"twilio": lambda: FastAPIWebsocketParams(
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audio_in_enabled=True,
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audio_out_enabled=True,
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# set stop_secs to something roughly similar to the internal setting
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# of the Multimodal Live api, just to align events. This doesn't really
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# matter because we can only use the Multimodal Live API's phrase
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# endpointing, for now.
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vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.5)),
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),
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"webrtc": lambda: TransportParams(
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audio_in_enabled=True,
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audio_out_enabled=True,
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# set stop_secs to something roughly similar to the internal setting
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# of the Multimodal Live api, just to align events. This doesn't really
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# matter because we can only use the Multimodal Live API's phrase
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# endpointing, for now.
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vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.5)),
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),
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}
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@@ -151,7 +138,16 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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],
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# tools,
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)
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user_aggregator, assistant_aggregator = LLMContextAggregatorPair(context)
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user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
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context,
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user_params=LLMUserAggregatorParams(
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# Set stop_secs to something roughly similar to the internal setting
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# of the Multimodal Live api, just to align events. This doesn't
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# really matter because we can only use the Multimodal Live API's
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# phrase endpointing, for now.
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vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.5))
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),
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)
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pipeline = Pipeline(
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[
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