wx44wx/pipecat
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

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

Browse Source
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
Download Patch File Download Diff File Expand all files Collapse all files

4
examples/foundational/28-transcription-processor.py
View File

@@ -11,7 +11,7 @@ from dotenv import load_dotenv
from loguru import logger
from pipecat.audio.vad.silero import SileroVADAnalyzer
from pipecat.frames.frames import TranscriptionMessage, TranscriptionUpdateFrame
from pipecat.frames.frames import LLMRunFrame, TranscriptionMessage, TranscriptionUpdateFrame
from pipecat.pipeline.pipeline import Pipeline
from pipecat.pipeline.runner import PipelineRunner
from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -166,7 +166,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
async def on_client_connected(transport, client):
logger.info(f"Client connected")
# Start conversation - empty prompt to let LLM follow system instructions
await task.queue_frames([context_aggregator.user().get_context_frame()])
await task.queue_frames([LLMRunFrame()])
# Register event handler for transcript updates
@transcript.event_handler("on_transcript_update")