examples: update all examples to use the new LLMContextAggregatorPair tuple
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@@ -247,7 +247,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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# Set up conversation context and management
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# The context_aggregator will automatically collect conversation context
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context = LLMContext(messages)
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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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@@ -262,12 +262,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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transport.input(),
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rtvi,
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stt,
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context_aggregator.user(),
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user_aggregator,
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memory,
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llm,
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tts,
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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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