examples: update all examples to use the new LLMContextAggregatorPair tuple
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@@ -139,15 +139,15 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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llm.register_function("get_restaurant_recommendation", fetch_restaurant_recommendation)
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context = LLMContext([{"role": "user", "content": "Say hello."}])
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context_aggregator = LLMContextAggregatorPair(context)
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user_aggregator, assistant_aggregator = LLMContextAggregatorPair(context)
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pipeline = Pipeline(
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[
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transport.input(),
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context_aggregator.user(),
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user_aggregator,
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llm,
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transport.output(),
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context_aggregator.assistant(),
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assistant_aggregator,
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]
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)
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