OpenAI Realtime needs the assistant context aggregator to have expect_stripped_words=False

This commit is contained in:
Paul Kompfner
2025-10-29 16:15:16 -04:00
parent 8894db4290
commit d0f52feba3
4 changed files with 22 additions and 3 deletions

View File

@@ -21,6 +21,7 @@ from pipecat.pipeline.pipeline import Pipeline
from pipecat.pipeline.runner import PipelineRunner
from pipecat.pipeline.task import PipelineParams, PipelineTask
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.transcript_processor import TranscriptProcessor
from pipecat.runner.types import RunnerArguments
@@ -186,7 +187,12 @@ Remember, your responses should be short. Just one or two sentences, usually. Re
tools,
)
context_aggregator = LLMContextAggregatorPair(context)
context_aggregator = LLMContextAggregatorPair(
context,
# `expect_stripped_words=False` needed when OpenAI Realtime used with
# "audio" modality (the default)
assistant_params=LLMAssistantAggregatorParams(expect_stripped_words=False),
)
pipeline = Pipeline(
[

View File

@@ -19,6 +19,7 @@ from pipecat.pipeline.pipeline import Pipeline
from pipecat.pipeline.runner import PipelineRunner
from pipecat.pipeline.task import PipelineParams, PipelineTask
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
@@ -174,7 +175,12 @@ Remember, your responses should be short. Just one or two sentences, usually. Re
tools,
)
context_aggregator = LLMContextAggregatorPair(context)
context_aggregator = LLMContextAggregatorPair(
context,
# `expect_stripped_words=False` needed when OpenAI Realtime used with
# "audio" modality (the default)
assistant_params=LLMAssistantAggregatorParams(expect_stripped_words=False),
)
pipeline = Pipeline(
[