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Update GeminiLLMService to work with LLMContext and LLMContextAggregatorPair

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This commit is contained in:
Paul Kompfner
2025-10-27 16:36:50 -04:00
parent 8b063116ab
commit f974c66e12
13 changed files with 328 additions and 87 deletions
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13
examples/foundational/46-video-processing.py
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@@ -15,7 +15,9 @@ from pipecat.frames.frames import Frame, InputImageRawFrame, LLMRunFrame, Output
from pipecat.pipeline.pipeline import Pipeline
from pipecat.pipeline.runner import PipelineRunner
from pipecat.pipeline.task import PipelineParams, PipelineTask
from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
from pipecat.processors.aggregators.llm_context import LLMContext
from pipecat.processors.aggregators.llm_response import LLMAssistantAggregatorParams
from pipecat.processors.aggregators.llm_response_universal import LLMContextAggregatorPair
from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
from pipecat.processors.frameworks.rtvi import RTVIObserver, RTVIProcessor
from pipecat.runner.types import RunnerArguments
@@ -108,8 +110,13 @@ async def run_bot(pipecat_transport):
}
]
context = OpenAILLMContext(messages)
context_aggregator = llm.create_context_aggregator(context)
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
context,
# `expect_stripped_words=False` needed when Gemini Live used with AUDIO
# modality (the default)
assistant_params=LLMAssistantAggregatorParams(expect_stripped_words=False),
)
# RTVI events for Pipecat client UI
rtvi = RTVIProcessor()