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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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7
examples/foundational/26d-gemini-live-text.py
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@@ -16,7 +16,8 @@ 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_universal import LLMContextAggregatorPair
from pipecat.runner.types import RunnerArguments
from pipecat.runner.utils import create_transport
from pipecat.services.cartesia.tts import CartesiaTTSService
@@ -109,8 +110,8 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
# Set up conversation context and management
# The context_aggregator will automatically collect conversation context
context = OpenAILLMContext(messages)
context_aggregator = llm.create_context_aggregator(context)
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(context)
pipeline = Pipeline(
[