examples: update all examples to use the new LLMContextAggregatorPair tuple
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@@ -193,7 +193,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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all_tools = ToolsSchema(standard_tools=all_standard_tools)
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context = LLMContext(messages, all_tools)
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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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@@ -209,12 +209,12 @@ 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,
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context_aggregator.user(), # User spoken responses
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user_aggregator, # User spoken responses
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llm, # LLM
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tts, # TTS
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mcp_image_processor, # URL image -> output
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transport.output(), # Transport bot output
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context_aggregator.assistant(), # Assistant spoken responses and tool context
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assistant_aggregator, # Assistant spoken responses and tool context
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]
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)
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