diff --git a/src/pipecat/processors/aggregators/llm_response_universal.py b/src/pipecat/processors/aggregators/llm_response_universal.py
index b255748e0..c43cc279d 100644
--- a/src/pipecat/processors/aggregators/llm_response_universal.py
+++ b/src/pipecat/processors/aggregators/llm_response_universal.py
@@ -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")