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

3
examples/foundational/37-mem0.py
View File

@@ -48,6 +48,7 @@ from dotenv import load_dotenv
from loguru import logger
from pipecat.audio.vad.silero import SileroVADAnalyzer
from pipecat.frames.frames import LLMRunFrame
from pipecat.pipeline.pipeline import Pipeline
from pipecat.pipeline.runner import PipelineRunner
from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -277,7 +278,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
context.add_message({"role": "assistant", "content": greeting})
# Queue the context frame to start the conversation
await task.queue_frames([context_aggregator.user().get_context_frame()])
await task.queue_frames([LLMRunFrame()])
@transport.event_handler("on_client_connected")
async def on_client_connected(transport, client):