examples: pipelines readability and add LLM assistants after transport
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@@ -157,8 +157,16 @@ async def main(room_url: str, token):
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tma_out = LLMAssistantContextAggregator(messages)
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ncf = NameCheckFilter(["Santa Cat", "Santa"])
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pipeline = Pipeline([transport.input(), isa, ncf, tma_in,
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llm, tma_out, tts, transport.output()])
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pipeline = Pipeline([
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transport.input(),
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isa,
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ncf,
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tma_in,
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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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])
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@transport.event_handler("on_first_participant_joined")
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async def on_first_participant_joined(transport, participant):
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