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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
scripts/evals/eval.py
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@@ -30,7 +30,7 @@ from pipecat.adapters.schemas.function_schema import FunctionSchema
from pipecat.adapters.schemas.tools_schema import ToolsSchema
from pipecat.audio.vad.silero import SileroVADAnalyzer
from pipecat.audio.vad.vad_analyzer import VADParams
from pipecat.frames.frames import EndTaskFrame, OutputImageRawFrame
from pipecat.frames.frames import EndTaskFrame, LLMRunFrame, OutputImageRawFrame
from pipecat.pipeline.pipeline import Pipeline
from pipecat.pipeline.runner import PipelineRunner
from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -330,7 +330,7 @@ async def run_eval_pipeline(
messages.append(
{"role": "user", "content": f"Start by saying this exactly: '{prompt}'"}
)
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):