add LLMFullResponseStartFrame/LLMFullResponseEndFrame

src/pipecat/frames/frames.py

@@ -260,6 +260,20 @@ class EndFrame(ControlFrame):
     pass
 
 
+@dataclass
+class LLMFullResponseStartFrame(ControlFrame):
+    """Used to indicate the beginning of a full LLM response. Following
+    LLMResponseStartFrame, TextFrame and LLMResponseEndFrame for each sentence
+    until a LLMFullResponseEndFrame."""
+    pass
+
+
+@dataclass
+class LLMFullResponseEndFrame(ControlFrame):
+    """Indicates the end of a full LLM response."""
+    pass
+
+
 @dataclass
 class LLMResponseStartFrame(ControlFrame):
     """Used to indicate the beginning of an LLM response. Following TextFrames

src/pipecat/processors/aggregators/llm_response.py

@@ -10,6 +10,7 @@ from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
 from pipecat.frames.frames import (
     Frame,
     InterimTranscriptionFrame,
+    LLMFullResponseEndFrame,
     LLMMessagesFrame,
     LLMResponseStartFrame,
     TextFrame,
@@ -182,7 +183,7 @@ class LLMFullResponseAggregator(FrameProcessor):
     async def process_frame(self, frame: Frame, direction: FrameDirection):
         if isinstance(frame, TextFrame):
             self._aggregation += frame.text
-        elif isinstance(frame, LLMResponseEndFrame):
+        elif isinstance(frame, LLMFullResponseEndFrame):
             await self.push_frame(TextFrame(self._aggregation))
             await self.push_frame(frame)
             self._aggregation = ""

src/pipecat/services/openai.py

@@ -16,6 +16,8 @@ from typing import AsyncGenerator, List, Literal
 from pipecat.frames.frames import (
     ErrorFrame,
     Frame,
+    LLMFullResponseEndFrame,
+    LLMFullResponseStartFrame,
     LLMMessagesFrame,
     LLMResponseEndFrame,
     LLMResponseStartFrame,
@@ -104,6 +106,8 @@ class BaseOpenAILLMService(LLMService):
             await self._stream_chat_completions(context)
         )
 
+        await self.push_frame(LLMFullResponseStartFrame())
+
         async for chunk in chunk_stream:
             if len(chunk.choices) == 0:
                 continue
@@ -134,6 +138,8 @@ class BaseOpenAILLMService(LLMService):
                 await self.push_frame(TextFrame(chunk.choices[0].delta.content))
                 await self.push_frame(LLMResponseEndFrame())
 
+        await self.push_frame(LLMFullResponseEndFrame())
+
         # if we got a function name and arguments, yield the frame with all the info so
         # frame consumers can take action based on the function call.
         # if function_name and arguments: