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

This commit is contained in:
Paul Kompfner
2025-08-26 16:39:23 -04:00
parent e384ca949e
commit 189749b579
123 changed files with 331 additions and 163 deletions

View File

@@ -15,6 +15,7 @@ from pipecat.frames.frames import (
BotStartedSpeakingFrame,
BotStoppedSpeakingFrame,
Frame,
LLMRunFrame,
OutputImageRawFrame,
)
from pipecat.pipeline.pipeline import Pipeline
@@ -144,7 +145,7 @@ 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.
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):