Add LLMRunFrame to trigger an LLM response, replacing context_aggregator.user().get_context_frame()

examples/quickstart/bot.py

@@ -23,6 +23,7 @@ import os
 
 from dotenv import load_dotenv
 from loguru import logger
+from pipecat.frames.frames import LLMRunFrame
 
 print("🚀 Starting Pipecat bot...")
 print("⏳ Loading models and imports (20 seconds first run only)\n")
@@ -101,7 +102,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         logger.info(f"Client connected")
         # Kick off the conversation.
         messages.append({"role": "system", "content": "Say hello and briefly introduce yourself."})
-        await task.queue_frames([context_aggregator.user().get_context_frame()])
+        await task.queue_frames([LLMRunFrame()])
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):