diff --git a/src/pipecat/frames/frames.py b/src/pipecat/frames/frames.py
index f28f2b85e..79fd24322 100644
--- a/src/pipecat/frames/frames.py
+++ b/src/pipecat/frames/frames.py
@@ -158,6 +158,15 @@ class LLMMessagesFrame(DataFrame):
     messages: List[dict]
 
 
+@dataclass
+class LLMMessagesAppendFrame(DataFrame):
+    """A frame containing a list of LLM messages that neeed to be added to the
+    current context.
+
+    """
+    messages: List[dict]
+
+
 @dataclass
 class LLMMessagesUpdateFrame(DataFrame):
     """A frame containing a list of new LLM messages. These messages will
diff --git a/src/pipecat/processors/aggregators/llm_response.py b/src/pipecat/processors/aggregators/llm_response.py
index efc8af179..6939a70c4 100644
--- a/src/pipecat/processors/aggregators/llm_response.py
+++ b/src/pipecat/processors/aggregators/llm_response.py
@@ -14,6 +14,7 @@ from pipecat.frames.frames import (
     InterimTranscriptionFrame,
     LLMFullResponseEndFrame,
     LLMFullResponseStartFrame,
+    LLMMessagesAppendFrame,
     LLMMessagesFrame,
     LLMMessagesUpdateFrame,
     StartInterruptionFrame,
@@ -121,6 +122,10 @@ class LLMResponseAggregator(FrameProcessor):
             # Reset anyways
             self._reset()
             await self.push_frame(frame, direction)
+        elif isinstance(frame, LLMMessagesAppendFrame):
+            self._messages.extend(frame.messages)
+            messages_frame = LLMMessagesFrame(self._messages)
+            await self.push_frame(messages_frame)
         elif isinstance(frame, LLMMessagesUpdateFrame):
             # We push the frame downstream so the assistant aggregator gets
             # updated as well.
diff --git a/src/pipecat/processors/frameworks/realtimeai.py b/src/pipecat/processors/frameworks/realtimeai.py
index df2e7650a..742e85198 100644
--- a/src/pipecat/processors/frameworks/realtimeai.py
+++ b/src/pipecat/processors/frameworks/realtimeai.py
@@ -12,6 +12,7 @@ from pydantic import BaseModel, ValidationError
 
 from pipecat.frames.frames import (
     Frame,
+    LLMMessagesAppendFrame,
     LLMMessagesUpdateFrame,
     LLMModelUpdateFrame,
     StartFrame,
@@ -133,6 +134,8 @@ class RealtimeAIProcessor(FrameProcessor):
                     await self._handle_config_update(message.data.config)
                 case "llm-get-context":
                     await self._handle_llm_get_context()
+                case "llm-append-context":
+                    await self._handle_llm_append_context(message.data.config)
                 case "llm-update-context":
                     await self._handle_llm_update_context(message.data.config)
         except ValidationError as e:
@@ -203,6 +206,11 @@ class RealtimeAIProcessor(FrameProcessor):
         message = TransportMessageFrame(message=response.model_dump(exclude_none=True))
         await self.push_frame(message)
 
+    async def _handle_llm_append_context(self, config: RealtimeAIConfig):
+        if config.llm and config.llm.messages:
+            frame = LLMMessagesAppendFrame(config.llm.messages)
+            await self.push_frame(frame)
+
     async def _handle_llm_update_context(self, config: RealtimeAIConfig):
         if config.llm and config.llm.messages:
             frame = LLMMessagesUpdateFrame(config.llm.messages)