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.
This commit is contained in:
Aleix Conchillo Flaqué
2026-03-05 16:17:32 -08:00
parent 18494658c3
commit 593b75bc8b
179 changed files with 271 additions and 335 deletions

View File

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