Update foundational examples to use "user" role
Use system_instruction on LLM service constructors instead of adding system messages to LLMContext. Messages added to context now use "user" role.
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@@ -235,12 +235,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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llm.register_function("get_saved_conversation_filenames", get_saved_conversation_filenames)
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llm.register_function("load_conversation", load_conversation)
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context = LLMContext(
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messages=[
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{"role": "user", "content": "Hello!"},
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],
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tools=tools,
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)
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context = LLMContext(tools=tools)
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user_aggregator, assistant_aggregator = LLMContextAggregatorPair(context)
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pipeline = Pipeline(
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@@ -266,6 +261,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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async def on_client_connected(transport, client):
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logger.info(f"Client connected")
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# Kick off the conversation.
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context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
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await task.queue_frames([LLMRunFrame()])
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# HACK: if using the older Nova Sonic (pre-2) model, you need this special way of
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# triggering the first assistant response. Note that this trigger requires a special
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