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Renamed LLMAssistantAggregatorParams fields for clarity.

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filipi87
2026-02-27 18:41:17 -03:00
parent f11d4b6944
commit 08d93ce9b6
1 changed files with 59 additions and 18 deletions
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77
src/pipecat/processors/aggregators/llm_response_universal.py
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@@ -79,7 +79,10 @@ from pipecat.turns.user_stop import BaseUserTurnStopStrategy, UserTurnStoppedPar
from pipecat.turns.user_turn_completion_mixin import UserTurnCompletionConfig
from pipecat.turns.user_turn_controller import UserTurnController
from pipecat.turns.user_turn_strategies import ExternalUserTurnStrategies, UserTurnStrategies
from pipecat.utils.context.llm_context_summarization import LLMContextSummarizationConfig
from pipecat.utils.context.llm_context_summarization import (
LLMAutoContextSummarizationConfig,
LLMContextSummarizationConfig,
)
from pipecat.utils.string import TextPartForConcatenation, concatenate_aggregated_text
from pipecat.utils.time import time_now_iso8601
@@ -125,18 +128,54 @@ class LLMAssistantAggregatorParams:
in text frames by adding spaces between tokens. This parameter is
ignored when used with the newer LLMAssistantAggregator, which
handles word spacing automatically.
enable_context_summarization: Enable automatic context summarization when token
limits are reached (disabled by default). When enabled, older conversation
messages are automatically compressed into summaries to manage context size.
context_summarization_config: Configuration for context summarization behavior.
Controls thresholds, message preservation, and summarization prompts. If None
and summarization is enabled, uses default configuration values.
enable_auto_context_summarization: Enable automatic context summarization when token
or message-count limits are reached (disabled by default). When enabled,
older conversation messages are automatically compressed into summaries to
manage context size.
auto_context_summarization_config: Configuration for automatic context
summarization. Controls trigger thresholds, message preservation, and
summarization prompts. If None, uses default
``LLMAutoContextSummarizationConfig`` values.
"""
expect_stripped_words: bool = True
enable_context_summarization: bool = False
enable_auto_context_summarization: bool = False
auto_context_summarization_config: Optional[LLMAutoContextSummarizationConfig] = None
# ---------------------------------------------------------------------------
# Deprecated field names — kept for backward compatibility.
# Use enable_auto_context_summarization and auto_context_summarization_config instead.
# ---------------------------------------------------------------------------
enable_context_summarization: Optional[bool] = None
context_summarization_config: Optional[LLMContextSummarizationConfig] = None
def __post_init__(self):
if self.enable_context_summarization is not None:
warnings.warn(
"LLMAssistantAggregatorParams.enable_context_summarization is deprecated. "
"Use enable_auto_context_summarization instead.",
DeprecationWarning,
stacklevel=2,
)
self.enable_auto_context_summarization = self.enable_context_summarization
self.enable_context_summarization = None
if self.context_summarization_config is not None:
warnings.warn(
"LLMAssistantAggregatorParams.context_summarization_config is deprecated. "
"Use auto_context_summarization_config (LLMAutoContextSummarizationConfig) instead.",
DeprecationWarning,
stacklevel=2,
)
if isinstance(self.context_summarization_config, LLMContextSummarizationConfig):
self.auto_context_summarization_config = (
self.context_summarization_config.to_auto_config()
)
else:
# Accept LLMAutoContextSummarizationConfig passed to the deprecated field
self.auto_context_summarization_config = self.context_summarization_config # type: ignore[assignment]
self.context_summarization_config = None
@dataclass
class UserTurnStoppedMessage:
@@ -825,16 +864,18 @@ class LLMAssistantAggregator(LLMContextAggregator):
self._thought_aggregation: List[TextPartForConcatenation] = []
self._thought_start_time: str = ""
# Context summarization
self._summarizer: Optional[LLMContextSummarizer] = None
if self._params.enable_context_summarization:
self._summarizer = LLMContextSummarizer(
context=self._context,
config=self._params.context_summarization_config,
)
self._summarizer.add_event_handler(
"on_request_summarization", self._on_request_summarization
)
# Context summarization — always create the summarizer so that manually
# pushed LLMSummarizeContextFrame frames are always handled.
# Auto-triggering based on thresholds is only enabled when
# enable_auto_context_summarization is True.
self._summarizer: Optional[LLMContextSummarizer] = LLMContextSummarizer(
context=self._context,
config=self._params.auto_context_summarization_config,
auto_trigger=self._params.enable_auto_context_summarization,
)
self._summarizer.add_event_handler(
"on_request_summarization", self._on_request_summarization
)
self._register_event_handler("on_assistant_turn_started")
self._register_event_handler("on_assistant_turn_stopped")