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

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Paul Kompfner
2025-08-26 16:39:23 -04:00
parent e384ca949e
commit 189749b579
123 changed files with 331 additions and 163 deletions
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3
examples/foundational/14n-function-calling-perplexity.py
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@@ -17,6 +17,7 @@ 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
@@ -101,7 +102,7 @@ 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):