Emit on_assistant_turn_stopped and on_user_turn_stopped from EndFrame or CancelFrame

2026-01-27 12:59:20 -05:00
parent f7a1c6b719
commit e80e0eab29
4 changed files with 124 additions and 15 deletions
--- a/changelog/3575.fixed.md
+++ b/changelog/3575.fixed.md
@@ -0,0 +1 @@
+- Fixed `LLMUserAggregator` and `LLMAssistantAggregator` not emitting pending transcripts via `on_user_turn_stopped` and `on_assistant_turn_stopped` events when the conversation ends (`EndFrame`) or is cancelled (`CancelFrame`).
--- a/src/pipecat/processors/aggregators/llm_response_universal.py
+++ b/src/pipecat/processors/aggregators/llm_response_universal.py
@@ -464,9 +464,11 @@ class LLMUserAggregator(LLMContextAggregator):
            await s.setup(self.task_manager)

    async def _stop(self, frame: EndFrame):
+        await self._maybe_emit_user_turn_stopped(on_session_end=True)
        await self._cleanup()

    async def _cancel(self, frame: CancelFrame):
+        await self._maybe_emit_user_turn_stopped(on_session_end=True)
        await self._cleanup()

    async def _cleanup(self):
@@ -602,14 +604,7 @@ class LLMUserAggregator(LLMContextAggregator):
        if params.enable_user_speaking_frames:
            await self.broadcast_frame(UserStoppedSpeakingFrame)

-        # Always push context frame.
-        aggregation = await self.push_aggregation()
-
-        message = UserTurnStoppedMessage(
-            content=aggregation, timestamp=self._user_turn_start_timestamp
-        )
-        await self._call_event_handler("on_user_turn_stopped", strategy, message)
-        self._user_turn_start_timestamp = ""
+        await self._maybe_emit_user_turn_stopped(strategy)

    async def _on_user_turn_stop_timeout(self, controller):
        await self._call_event_handler("on_user_turn_stop_timeout")
@@ -617,6 +612,26 @@ class LLMUserAggregator(LLMContextAggregator):
    async def _on_user_turn_idle(self, controller):
        await self._call_event_handler("on_user_turn_idle")

+    async def _maybe_emit_user_turn_stopped(
+        self,
+        strategy: Optional[BaseUserTurnStopStrategy] = None,
+        on_session_end: bool = False,
+    ):
+        """Maybe emit user turn stopped event.
+
+        Args:
+            strategy: The strategy that triggered the turn stop.
+            on_session_end: If True, only emit if there's unemitted content
+                (avoids duplicate events when session ends).
+        """
+        aggregation = await self.push_aggregation()
+        if not on_session_end or aggregation:
+            message = UserTurnStoppedMessage(
+                content=aggregation, timestamp=self._user_turn_start_timestamp
+            )
+            await self._call_event_handler("on_user_turn_stopped", strategy, message)
+            self._user_turn_start_timestamp = ""
+

 class LLMAssistantAggregator(LLMContextAggregator):
    """Assistant LLM aggregator that processes bot responses and function calls.
@@ -739,6 +754,9 @@ class LLMAssistantAggregator(LLMContextAggregator):
        if isinstance(frame, InterruptionFrame):
            await self._handle_interruptions(frame)
            await self.push_frame(frame, direction)
+        elif isinstance(frame, (EndFrame, CancelFrame)):
+            await self._handle_end_or_cancel(frame)
+            await self.push_frame(frame, direction)
        elif isinstance(frame, LLMFullResponseStartFrame):
            await self._handle_llm_start(frame)
        elif isinstance(frame, LLMFullResponseEndFrame):
@@ -813,6 +831,10 @@ class LLMAssistantAggregator(LLMContextAggregator):
        self._started = 0
        await self.reset()

+    async def _handle_end_or_cancel(self, frame: Frame):
+        await self._trigger_assistant_turn_stopped()
+        self._started = 0
+
    async def _handle_function_calls_started(self, frame: FunctionCallsStartedFrame):
        function_names = [f"{f.function_name}:{f.tool_call_id}" for f in frame.function_calls]
        logger.debug(f"{self} FunctionCallsStartedFrame: {function_names}")
--- a/tests/test_context_aggregators_universal.py
+++ b/tests/test_context_aggregators_universal.py
@@ -344,6 +344,35 @@ class TestLLMUserAggregator(unittest.IsolatedAsyncioTestCase):
        # The user mute strategies should have muted the user.
        self.assertFalse(user_turn)

+    async def test_pending_transcription_emitted_on_end_frame(self):
+        """Pending user transcription should be emitted when EndFrame arrives."""
+        context = LLMContext()
+
+        user_aggregator = LLMUserAggregator(context)
+
+        stop_messages = []
+
+        @user_aggregator.event_handler("on_user_turn_stopped")
+        async def on_user_turn_stopped(aggregator, strategy, message):
+            stop_messages.append((strategy, message))
+
+        pipeline = Pipeline([user_aggregator])
+
+        # Start turn and send transcription, but don't trigger normal turn stop
+        frames_to_send = [
+            VADUserStartedSpeakingFrame(),
+            TranscriptionFrame(text="Hello!", user_id="", timestamp="now"),
+            # No VADUserStoppedSpeakingFrame - turn doesn't stop normally
+            # EndFrame will be sent by run_test, triggering emission
+        ]
+        await run_test(pipeline, frames_to_send=frames_to_send)
+
+        # The pending transcription should be emitted on EndFrame
+        self.assertEqual(len(stop_messages), 1)
+        strategy, message = stop_messages[0]
+        self.assertIsNone(strategy)  # strategy is None for end/cancel
+        self.assertEqual(message.content, "Hello!")
+

 class TestLLMAssistantAggregator(unittest.IsolatedAsyncioTestCase):
    async def test_empty(self):
@@ -512,3 +541,28 @@ class TestLLMAssistantAggregator(unittest.IsolatedAsyncioTestCase):
        ]
        await run_test(aggregator, frames_to_send=frames_to_send)
        self.assertEqual(thought_message.content, "I'm thinking!")
+
+    async def test_pending_text_emitted_on_end_frame(self):
+        """Pending assistant text should be emitted when EndFrame arrives."""
+        context = LLMContext()
+
+        aggregator = LLMAssistantAggregator(context)
+
+        stop_messages = []
+
+        @aggregator.event_handler("on_assistant_turn_stopped")
+        async def on_assistant_turn_stopped(aggregator, message: AssistantTurnStoppedMessage):
+            stop_messages.append(message)
+
+        # Start response and send text, but don't send LLMFullResponseEndFrame
+        frames_to_send = [
+            LLMFullResponseStartFrame(),
+            LLMTextFrame("Hello from Pipecat!"),
+            # No LLMFullResponseEndFrame - response doesn't end normally
+            # EndFrame will be sent by run_test, triggering emission
+        ]
+        await run_test(aggregator, frames_to_send=frames_to_send)
+
+        # The pending text should be emitted on EndFrame
+        self.assertEqual(len(stop_messages), 1)
+        self.assertEqual(stop_messages[0].content, "Hello from Pipecat!")
--- a/uv.lock
+++ b/uv.lock
@@ -38,12 +38,44 @@ wheels = [

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+version = "2.0.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
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 ]
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 [[package]]
 name = "aioboto3"
@@ -4495,7 +4527,7 @@ docs = [
 [package.metadata]
 requires-dist = [
    { name = "accelerate", marker = "extra == 'moondream'", specifier = "~=1.10.0" },
-    { name = "aic-sdk", marker = "extra == 'aic'", specifier = "~=1.2.0" },
+    { name = "aic-sdk", marker = "extra == 'aic'", specifier = "~=2.0.1" },
    { name = "aioboto3", marker = "extra == 'aws'", specifier = "~=15.5.0" },
    { name = "aiofiles", specifier = ">=24.1.0,<25" },
    { name = "aiohttp", specifier = ">=3.11.12,<4" },
@@ -4586,7 +4618,7 @@ requires-dist = [
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    { name = "soundfile", marker = "extra == 'soundfile'", specifier = "~=0.13.1" },
    { name = "soxr", specifier = "~=0.5.0" },
-    { name = "speechmatics-voice", extras = ["smart"], marker = "extra == 'speechmatics'", specifier = ">=0.2.6" },
+    { name = "speechmatics-voice", extras = ["smart"], marker = "extra == 'speechmatics'", specifier = ">=0.2.8" },
    { name = "strands-agents", marker = "extra == 'strands'", specifier = ">=1.9.1,<2" },
    { name = "tenacity", marker = "extra == 'livekit'", specifier = ">=8.2.3,<10.0.0" },
    { name = "timm", marker = "extra == 'moondream'", specifier = "~=1.0.13" },
@@ -6420,16 +6452,16 @@ wheels = [

 [[package]]
 name = "speechmatics-voice"
-version = "0.2.7"
+version = "0.2.8"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "numpy" },
    { name = "pydantic" },
    { name = "speechmatics-rt" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/4a/94/47280c7fa5264676bfd6a2373c5cbfa562d5f1aefd77d7f241641a4889a6/speechmatics_voice-0.2.7.tar.gz", hash = "sha256:392b5129d2cbc0059f122fdf960d88dc59df5f26808992ef031f2eb40713c936", size = 61137, upload-time = "2026-01-12T14:21:17.672Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/e4/b2/72b5b2203bbefbd22e7692adaca0dd7c2feebed1aaea5599ec579f74fbbf/speechmatics_voice-0.2.8.tar.gz", hash = "sha256:b2d9cbf773fd94400c744734662e2b16b5bdc4271d0dafde46ac032c438fe000", size = 61419, upload-time = "2026-01-26T16:26:09.082Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/7e/72/e74dbcd42935b31b1d188b8f9d932d9d4078ea5edf303bb0ba0af4203ba2/speechmatics_voice-0.2.7-py3-none-any.whl", hash = "sha256:79c6072a5bf21cfa75770b5e3855cff5747222b024c417a276d0b9c2ae83cd0c", size = 57323, upload-time = "2026-01-12T14:21:16.679Z" },
+    { url = "https://files.pythonhosted.org/packages/89/2d/a2ab215a7a31fad5ef9267420dc9ced96d6d52e5b80b131ef41424607849/speechmatics_voice-0.2.8-py3-none-any.whl", hash = "sha256:423ac7620ae8c98f175faace2184ac4ab1fe448ffb41af57aae05ec655326f79", size = 57629, upload-time = "2026-01-26T16:26:07.59Z" },
 ]

 [package.optional-dependencies]
				`@@ -0,0 +1 @@`
				- Fixed `LLMUserAggregator` and `LLMAssistantAggregator` not emitting pending transcripts via `on_user_turn_stopped` and `on_assistant_turn_stopped` events when the conversation ends (`EndFrame`) or is cancelled (`CancelFrame`).