examples(foundational): remove RTVI (automatically added by PipelineTask)
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@@ -59,7 +59,6 @@ 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.processors.frameworks.rtvi import RTVIConfig, RTVIObserver, RTVIProcessor
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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.deepgram.stt import DeepgramSTTService
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@@ -255,12 +254,10 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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),
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),
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)
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rtvi = RTVIProcessor(config=RTVIConfig(config=[]))
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pipeline = Pipeline(
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[
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transport.input(),
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rtvi,
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stt,
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user_aggregator,
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memory,
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@@ -278,12 +275,10 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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enable_usage_metrics=True,
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),
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idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
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observers=[RTVIObserver(rtvi)],
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)
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@rtvi.event_handler("on_client_ready")
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@task.rtvi.event_handler("on_client_ready")
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async def on_client_ready(rtvi):
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await rtvi.set_bot_ready()
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# Get personalized greeting based on user memories. Can pass agent_id and run_id as per requirement of the application to manage short term memory or agent specific memory.
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greeting = await get_initial_greeting(
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memory_client=memory.memory_client, user_id=USER_ID, agent_id=None, run_id=None
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