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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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4
examples/foundational/15a-switch-languages.py
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@@ -13,7 +13,7 @@ from loguru import logger
from openai.types.chat import ChatCompletionToolParam
from pipecat.audio.vad.silero import SileroVADAnalyzer
from pipecat.frames.frames import Frame
from pipecat.frames.frames import Frame, LLMRunFrame
from pipecat.pipeline.parallel_pipeline import ParallelPipeline
from pipecat.pipeline.pipeline import Pipeline
from pipecat.pipeline.runner import PipelineRunner
@@ -165,7 +165,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
"content": f"Please introduce yourself to the user and let them know the languages you speak. Your initial responses should be in {tts.current_language}.",
}
)
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):