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

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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
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3
examples/foundational/26c-gemini-multimodal-live-video.py
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@@ -13,6 +13,7 @@ from loguru import logger
from pipecat.audio.vad.silero import SileroVADAnalyzer
from pipecat.audio.vad.vad_analyzer import VADParams
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
@@ -100,7 +101,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
await maybe_capture_participant_camera(transport, client, framerate=1)
await maybe_capture_participant_screen(transport, client, framerate=1)
await task.queue_frames([context_aggregator.user().get_context_frame()])
await task.queue_frames([LLMRunFrame()])
await asyncio.sleep(3)
logger.debug("Unpausing audio and video")
llm.set_audio_input_paused(False)