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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/26b-gemini-live-function-calling.py
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@@ -19,7 +19,9 @@ 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
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.runner.types import RunnerArguments
from pipecat.runner.utils import create_transport
from pipecat.services.google.gemini_live.llm import GeminiLiveLLMService
@@ -139,10 +141,15 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
llm.register_function("get_current_weather", fetch_weather_from_api)
llm.register_function("get_restaurant_recommendation", fetch_restaurant_recommendation)
context = OpenAILLMContext(
context = LLMContext(
[{"role": "user", "content": "Say hello."}],
)
context_aggregator = llm.create_context_aggregator(context)
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),
)
pipeline = Pipeline(
[