examples: update all examples to use the new LLMContextAggregatorPair tuple
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@@ -120,7 +120,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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# Setup context aggregators for message handling
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context = LLMContext()
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context_aggregator = LLMContextAggregatorPair(
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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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user_turn_strategies=UserTurnStrategies(
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@@ -133,11 +133,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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[
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transport.input(), # Transport user input
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stt, # Speech-to-text
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context_aggregator.user(), # User responses
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user_aggregator, # User responses
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llm, # Strands Agents processor
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tts, # Text-to-speech
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transport.output(), # Transport bot output
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context_aggregator.assistant(), # Assistant spoken responses
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assistant_aggregator, # Assistant spoken responses
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]
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)
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