Merge pull request #524 from pipecat-ai/aleix/everything-is-async

all frame processors are asynchrnous

CHANGELOG.md

@@ -48,15 +48,10 @@ async def on_connected(processor):
   frames. To achieve that, each frame processor should only output frames from a
   single task.
 
-  In this version we introduce synchronous and asynchronous frame
-  processors. The synchronous processors push output frames from the same task
-  that they receive input frames, and therefore only pushing frames from one
-  task. Asynchronous frame processors can have internal tasks to perform things
-  asynchronously (e.g. receiving data from a websocket) but they also have a
-  single task where they push frames from.
-
-  By default, frame processors are synchronous. To change a frame processor to
-  asynchronous you only need to pass `sync=False` to the base class constructor.
+  In this version all the frame processors have their own task to push
+  frames. That is, when `push_frame()` is called the given frame will be put
+  into an internal queue (with the exception of system frames) and a frame
+  processor task will push it out.
 
 - Added pipeline clocks. A pipeline clock is used by the output transport to
   know when a frame needs to be presented. For that, all frames now have an
@@ -68,9 +63,7 @@ async def on_connected(processor):
   `SystemClock`). This clock will be passed to each frame processor via the
   `StartFrame`.
 
-- Added `CartesiaHttpTTSService`. This is a synchronous frame processor
-  (i.e. given an input text frame it will wait for the whole output before
-  returning).
+- Added `CartesiaHttpTTSService`.
 
 - `DailyTransport` now supports setting the audio bitrate to improve audio
   quality through the `DailyParams.audio_out_bitrate` parameter. The new
@@ -110,8 +103,9 @@ async def on_connected(processor):
   pipelines to be executed concurrently. The difference between a
   `SyncParallelPipeline` and a `ParallelPipeline` is that, given an input frame,
   the `SyncParallelPipeline` will wait for all the internal pipelines to
-  complete. This is achieved by ensuring all the processors in each of the
-  internal pipelines are synchronous.
+  complete. This is achieved by making sure the last processor in each of the
+  pipelines is synchronous (e.g. an HTTP-based service that waits for the
+  response).
 
 - `StartFrame` is back a system frame so we make sure it's processed immediately
   by all processors. `EndFrame` stays a control frame since it needs to be

examples/foundational/05-sync-speech-and-image.py

@@ -86,13 +86,13 @@ async def main():
             ),
         )
 
+        llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-4o")
+
         tts = CartesiaHttpTTSService(
             api_key=os.getenv("CARTESIA_API_KEY"),
             voice_id="79a125e8-cd45-4c13-8a67-188112f4dd22",  # British Lady
         )
 
-        llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-4o")
-
         imagegen = FalImageGenService(
             params=FalImageGenService.InputParams(image_size="square_hd"),
             aiohttp_session=session,
@@ -107,8 +107,10 @@ async def main():
         # that, each pipeline runs concurrently and `SyncParallelPipeline` will
         # wait for the input frame to be processed.
         #
-        # Note that `SyncParallelPipeline` requires all processors in it to be
-        # synchronous (which is the default for most processors).
+        # Note that `SyncParallelPipeline` requires the last processor in each
+        # of the pipelines to be synchronous. In this case, we use
+        # `CartesiaHttpTTSService` and `FalImageGenService` which make HTTP
+        # requests and wait for the response.
         pipeline = Pipeline(
             [
                 llm,  # LLM

examples/foundational/05a-local-sync-speech-and-image.py

@@ -82,6 +82,7 @@ async def main():
                         self.frame = OutputAudioRawFrame(
                             bytes(self.audio), frame.sample_rate, frame.num_channels
                         )
+                    await self.push_frame(frame, direction)
 
             class ImageGrabber(FrameProcessor):
                 def __init__(self):
@@ -93,6 +94,7 @@ async def main():
 
                     if isinstance(frame, URLImageRawFrame):
                         self.frame = frame
+                    await self.push_frame(frame, direction)
 
             llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-4o")
 
@@ -121,8 +123,10 @@ async def main():
             # `SyncParallelPipeline` will wait for the input frame to be
             # processed.
             #
-            # Note that `SyncParallelPipeline` requires all processors in it to
-            # be synchronous (which is the default for most processors).
+            # Note that `SyncParallelPipeline` requires the last processor in
+            # each of the pipelines to be synchronous. In this case, we use
+            # `CartesiaHttpTTSService` and `FalImageGenService` which make HTTP
+            # requests and wait for the response.
             pipeline = Pipeline(
                 [
                     llm,  # LLM

src/pipecat/pipeline/sync_parallel_pipeline.py

@@ -6,17 +6,25 @@
 
 import asyncio
 
+from dataclasses import dataclass
 from itertools import chain
 from typing import List
 
+from pipecat.frames.frames import ControlFrame, EndFrame, Frame, SystemFrame
 from pipecat.pipeline.base_pipeline import BasePipeline
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
-from pipecat.frames.frames import Frame
 
 from loguru import logger
 
 
+@dataclass
+class SyncFrame(ControlFrame):
+    """This frame is used to know when the internal pipelines have finished."""
+
+    pass
+
+
 class Source(FrameProcessor):
     def __init__(self, upstream_queue: asyncio.Queue):
         super().__init__()
@@ -67,13 +75,16 @@ class SyncParallelPipeline(BasePipeline):
                 raise TypeError(f"SyncParallelPipeline argument {processors} is not a list")
 
             # We add a source at the beginning of the pipeline and a sink at the end.
-            source = Source(self._up_queue)
-            sink = Sink(self._down_queue)
+            up_queue = asyncio.Queue()
+            down_queue = asyncio.Queue()
+            source = Source(up_queue)
+            sink = Sink(down_queue)
             processors: List[FrameProcessor] = [source] + processors + [sink]
 
-            # Keep track of sources and sinks.
-            self._sources.append(source)
-            self._sinks.append(sink)
+            # Keep track of sources and sinks. We also keep the output queue of
+            # the source and the sinks so we can use it later.
+            self._sources.append({"processor": source, "queue": down_queue})
+            self._sinks.append({"processor": sink, "queue": up_queue})
 
             # Create pipeline
             pipeline = Pipeline(processors)
@@ -94,17 +105,52 @@ class SyncParallelPipeline(BasePipeline):
     async def process_frame(self, frame: Frame, direction: FrameDirection):
         await super().process_frame(frame, direction)
 
+        # The last processor of each pipeline needs to be synchronous otherwise
+        # this element won't work. Since, we know it should be synchronous we
+        # push a SyncFrame. Since frames are ordered we know this frame will be
+        # pushed after the synchronous processor has pushed its data allowing us
+        # to synchrnonize all the internal pipelines by waiting for the
+        # SyncFrame in all of them.
+        async def wait_for_sync(
+            obj, main_queue: asyncio.Queue, frame: Frame, direction: FrameDirection
+        ):
+            processor = obj["processor"]
+            queue = obj["queue"]
+
+            await processor.process_frame(frame, direction)
+
+            if isinstance(frame, (SystemFrame, EndFrame)):
+                new_frame = await queue.get()
+                if isinstance(new_frame, (SystemFrame, EndFrame)):
+                    await main_queue.put(new_frame)
+                else:
+                    while not isinstance(new_frame, (SystemFrame, EndFrame)):
+                        await main_queue.put(new_frame)
+                        queue.task_done()
+                        new_frame = await queue.get()
+            else:
+                await processor.process_frame(SyncFrame(), direction)
+                new_frame = await queue.get()
+                while not isinstance(new_frame, SyncFrame):
+                    await main_queue.put(new_frame)
+                    queue.task_done()
+                    new_frame = await queue.get()
+
         if direction == FrameDirection.UPSTREAM:
             # If we get an upstream frame we process it in each sink.
-            await asyncio.gather(*[s.process_frame(frame, direction) for s in self._sinks])
+            await asyncio.gather(
+                *[wait_for_sync(s, self._up_queue, frame, direction) for s in self._sinks]
+            )
         elif direction == FrameDirection.DOWNSTREAM:
             # If we get a downstream frame we process it in each source.
-            await asyncio.gather(*[s.process_frame(frame, direction) for s in self._sources])
+            await asyncio.gather(
+                *[wait_for_sync(s, self._down_queue, frame, direction) for s in self._sources]
+            )
 
         seen_ids = set()
         while not self._up_queue.empty():
             frame = await self._up_queue.get()
-            if frame and frame.id not in seen_ids:
+            if frame.id not in seen_ids:
                 await self.push_frame(frame, FrameDirection.UPSTREAM)
                 seen_ids.add(frame.id)
             self._up_queue.task_done()
@@ -112,7 +158,7 @@ class SyncParallelPipeline(BasePipeline):
         seen_ids = set()
         while not self._down_queue.empty():
             frame = await self._down_queue.get()
-            if frame and frame.id not in seen_ids:
+            if frame.id not in seen_ids:
                 await self.push_frame(frame, FrameDirection.DOWNSTREAM)
                 seen_ids.add(frame.id)
             self._down_queue.task_done()

src/pipecat/pipeline/task.py

@@ -69,6 +69,19 @@ class Source(FrameProcessor):
                 await self._up_queue.put(StopTaskFrame())
 
 
+class Sink(FrameProcessor):
+    def __init__(self, down_queue: asyncio.Queue):
+        super().__init__()
+        self._down_queue = down_queue
+
+    async def process_frame(self, frame: Frame, direction: FrameDirection):
+        await super().process_frame(frame, direction)
+
+        # We really just want to know when the EndFrame reached the sink.
+        if isinstance(frame, EndFrame):
+            await self._down_queue.put(frame)
+
+
 class PipelineTask:
     def __init__(
         self,
@@ -84,12 +97,16 @@ class PipelineTask:
         self._params = params
         self._finished = False
 
-        self._down_queue = asyncio.Queue()
         self._up_queue = asyncio.Queue()
+        self._down_queue = asyncio.Queue()
+        self._push_queue = asyncio.Queue()
 
         self._source = Source(self._up_queue)
         self._source.link(pipeline)
 
+        self._sink = Sink(self._down_queue)
+        pipeline.link(self._sink)
+
     def has_finished(self):
         return self._finished
 
@@ -103,19 +120,19 @@ class PipelineTask:
         # out-of-band from the main streaming task which is what we want since
         # we want to cancel right away.
         await self._source.push_frame(CancelFrame())
-        self._process_down_task.cancel()
+        self._process_push_task.cancel()
         self._process_up_task.cancel()
-        await self._process_down_task
+        await self._process_push_task
         await self._process_up_task
 
     async def run(self):
         self._process_up_task = asyncio.create_task(self._process_up_queue())
-        self._process_down_task = asyncio.create_task(self._process_down_queue())
-        await asyncio.gather(self._process_up_task, self._process_down_task)
+        self._process_push_task = asyncio.create_task(self._process_push_queue())
+        await asyncio.gather(self._process_up_task, self._process_push_task)
         self._finished = True
 
     async def queue_frame(self, frame: Frame):
-        await self._down_queue.put(frame)
+        await self._push_queue.put(frame)
 
     async def queue_frames(self, frames: Iterable[Frame] | AsyncIterable[Frame]):
         if isinstance(frames, AsyncIterable):
@@ -133,7 +150,7 @@ class PipelineTask:
             data.append(ProcessingMetricsData(processor=p.name, value=0.0))
         return MetricsFrame(data=data)
 
-    async def _process_down_queue(self):
+    async def _process_push_queue(self):
         self._clock.start()
 
         start_frame = StartFrame(
@@ -154,11 +171,13 @@ class PipelineTask:
         should_cleanup = True
         while running:
             try:
-                frame = await self._down_queue.get()
+                frame = await self._push_queue.get()
                 await self._source.process_frame(frame, FrameDirection.DOWNSTREAM)
+                if isinstance(frame, EndFrame):
+                    await self._wait_for_endframe()
                 running = not (isinstance(frame, StopTaskFrame) or isinstance(frame, EndFrame))
                 should_cleanup = not isinstance(frame, StopTaskFrame)
-                self._down_queue.task_done()
+                self._push_queue.task_done()
             except asyncio.CancelledError:
                 break
         # Cleanup only if we need to.
@@ -169,6 +188,12 @@ class PipelineTask:
         self._process_up_task.cancel()
         await self._process_up_task
 
+    async def _wait_for_endframe(self):
+        # NOTE(aleix): the Sink element just pushes EndFrames to the down queue,
+        # so just wait for it. In the future we might do something else here,
+        # but for now this is fine.
+        await self._down_queue.get()
+
     async def _process_up_queue(self):
         while True:
             try:

src/pipecat/processors/frame_processor.py

@@ -37,7 +37,6 @@ class FrameProcessor:
         *,
         name: str | None = None,
         metrics: FrameProcessorMetrics | None = None,
-        sync: bool = True,
         loop: asyncio.AbstractEventLoop | None = None,
         **kwargs,
     ):
@@ -47,7 +46,6 @@ class FrameProcessor:
         self._prev: "FrameProcessor" | None = None
         self._next: "FrameProcessor" | None = None
         self._loop: asyncio.AbstractEventLoop = loop or asyncio.get_running_loop()
-        self._sync = sync
 
         self._event_handlers: dict = {}
 
@@ -66,11 +64,8 @@ class FrameProcessor:
 
         # Every processor in Pipecat should only output frames from a single
         # task. This avoid problems like audio overlapping. System frames are
-        # the exception to this rule.
-        #
-        # This create this task.
-        if not self._sync:
-            self.__create_push_task()
+        # the exception to this rule. This create this task.
+        self.__create_push_task()
 
     @property
     def interruptions_allowed(self):
@@ -167,7 +162,7 @@ class FrameProcessor:
         await self.push_frame(error, FrameDirection.UPSTREAM)
 
     async def push_frame(self, frame: Frame, direction: FrameDirection = FrameDirection.DOWNSTREAM):
-        if self._sync or isinstance(frame, SystemFrame):
+        if isinstance(frame, SystemFrame):
             await self.__internal_push_frame(frame, direction)
         else:
             await self.__push_queue.put((frame, direction))
@@ -194,13 +189,12 @@ class FrameProcessor:
     #
 
     async def _start_interruption(self):
-        if not self._sync:
-            # Cancel the task. This will stop pushing frames downstream.
-            self.__push_frame_task.cancel()
-            await self.__push_frame_task
+        # Cancel the task. This will stop pushing frames downstream.
+        self.__push_frame_task.cancel()
+        await self.__push_frame_task
 
-            # Create a new queue and task.
-            self.__create_push_task()
+        # Create a new queue and task.
+        self.__create_push_task()
 
     async def _stop_interruption(self):
         # Nothing to do right now.

src/pipecat/processors/frameworks/rtvi.py

@@ -516,7 +516,7 @@ class RTVIProcessor(FrameProcessor):
         params: RTVIProcessorParams = RTVIProcessorParams(),
         **kwargs,
     ):
-        super().__init__(sync=False, **kwargs)
+        super().__init__(**kwargs)
         self._config = config
         self._params = params
 

src/pipecat/processors/gstreamer/pipeline_source.py

@@ -44,7 +44,7 @@ class GStreamerPipelineSource(FrameProcessor):
         clock_sync: bool = True
 
     def __init__(self, *, pipeline: str, out_params: OutputParams = OutputParams(), **kwargs):
-        super().__init__(sync=False, **kwargs)
+        super().__init__(**kwargs)
 
         self._out_params = out_params
 

src/pipecat/processors/idle_frame_processor.py

@@ -26,7 +26,7 @@ class IdleFrameProcessor(FrameProcessor):
         types: List[type] = [],
         **kwargs,
     ):
-        super().__init__(sync=False, **kwargs)
+        super().__init__(**kwargs)
 
         self._callback = callback
         self._timeout = timeout

src/pipecat/processors/user_idle_processor.py

@@ -31,7 +31,7 @@ class UserIdleProcessor(FrameProcessor):
         timeout: float,
         **kwargs,
     ):
-        super().__init__(sync=False, **kwargs)
+        super().__init__(**kwargs)
 
         self._callback = callback
         self._timeout = timeout

src/pipecat/services/ai_services.py

@@ -144,6 +144,10 @@ class TTSService(AIService):
         # if True, TTSService will push TextFrames and LLMFullResponseEndFrames,
         # otherwise subclass must do it
         push_text_frames: bool = True,
+        # if True, TTSService will push TTSStoppedFrames, otherwise subclass must do it
+        push_stop_frames: bool = False,
+        # if push_stop_frames is True, wait for this idle period before pushing TTSStoppedFrame
+        stop_frame_timeout_s: float = 1.0,
         # TTS output sample rate
         sample_rate: int = 16000,
         **kwargs,
@@ -151,9 +155,15 @@ class TTSService(AIService):
         super().__init__(**kwargs)
         self._aggregate_sentences: bool = aggregate_sentences
         self._push_text_frames: bool = push_text_frames
-        self._current_sentence: str = ""
+        self._push_stop_frames: bool = push_stop_frames
+        self._stop_frame_timeout_s: float = stop_frame_timeout_s
         self._sample_rate: int = sample_rate
 
+        self._stop_frame_task: Optional[asyncio.Task] = None
+        self._stop_frame_queue: asyncio.Queue = asyncio.Queue()
+
+        self._current_sentence: str = ""
+
     @property
     def sample_rate(self) -> int:
         return self._sample_rate
@@ -210,13 +220,72 @@ class TTSService(AIService):
     async def set_role(self, role: str):
         pass
 
+    @abstractmethod
+    async def flush_audio(self):
+        pass
+
     # Converts the text to audio.
     @abstractmethod
     async def run_tts(self, text: str) -> AsyncGenerator[Frame, None]:
         pass
 
+    async def start(self, frame: StartFrame):
+        await super().start(frame)
+        if self._push_stop_frames:
+            self._stop_frame_task = self.get_event_loop().create_task(self._stop_frame_handler())
+
+    async def stop(self, frame: EndFrame):
+        await super().stop(frame)
+        if self._stop_frame_task:
+            self._stop_frame_task.cancel()
+            await self._stop_frame_task
+            self._stop_frame_task = None
+
+    async def cancel(self, frame: CancelFrame):
+        await super().cancel(frame)
+        if self._stop_frame_task:
+            self._stop_frame_task.cancel()
+            await self._stop_frame_task
+            self._stop_frame_task = None
+
     async def say(self, text: str):
         await self.process_frame(TextFrame(text=text), FrameDirection.DOWNSTREAM)
+        await self.flush_audio()
+
+    async def process_frame(self, frame: Frame, direction: FrameDirection):
+        await super().process_frame(frame, direction)
+
+        if isinstance(frame, TextFrame):
+            await self._process_text_frame(frame)
+        elif isinstance(frame, StartInterruptionFrame):
+            await self._handle_interruption(frame, direction)
+        elif isinstance(frame, LLMFullResponseEndFrame) or isinstance(frame, EndFrame):
+            sentence = self._current_sentence
+            self._current_sentence = ""
+            await self._push_tts_frames(sentence)
+            if isinstance(frame, LLMFullResponseEndFrame):
+                if self._push_text_frames:
+                    await self.push_frame(frame, direction)
+            else:
+                await self.push_frame(frame, direction)
+        elif isinstance(frame, TTSSpeakFrame):
+            await self._push_tts_frames(frame.text)
+            await self.flush_audio()
+        elif isinstance(frame, TTSUpdateSettingsFrame):
+            await self._update_tts_settings(frame)
+        else:
+            await self.push_frame(frame, direction)
+
+    async def push_frame(self, frame: Frame, direction: FrameDirection = FrameDirection.DOWNSTREAM):
+        await super().push_frame(frame, direction)
+
+        if self._push_stop_frames and (
+            isinstance(frame, StartInterruptionFrame)
+            or isinstance(frame, TTSStartedFrame)
+            or isinstance(frame, TTSAudioRawFrame)
+            or isinstance(frame, TTSStoppedFrame)
+        ):
+            await self._stop_frame_queue.put(frame)
 
     async def _handle_interruption(self, frame: StartInterruptionFrame, direction: FrameDirection):
         self._current_sentence = ""
@@ -276,88 +345,6 @@ class TTSService(AIService):
         if frame.role is not None:
             await self.set_role(frame.role)
 
-    async def process_frame(self, frame: Frame, direction: FrameDirection):
-        await super().process_frame(frame, direction)
-
-        if isinstance(frame, TextFrame):
-            await self._process_text_frame(frame)
-        elif isinstance(frame, StartInterruptionFrame):
-            await self._handle_interruption(frame, direction)
-        elif isinstance(frame, LLMFullResponseEndFrame) or isinstance(frame, EndFrame):
-            sentence = self._current_sentence
-            self._current_sentence = ""
-            await self._push_tts_frames(sentence)
-            if isinstance(frame, LLMFullResponseEndFrame):
-                if self._push_text_frames:
-                    await self.push_frame(frame, direction)
-            else:
-                await self.push_frame(frame, direction)
-        elif isinstance(frame, TTSSpeakFrame):
-            await self._push_tts_frames(frame.text)
-        elif isinstance(frame, TTSUpdateSettingsFrame):
-            await self._update_tts_settings(frame)
-        else:
-            await self.push_frame(frame, direction)
-
-
-class AsyncTTSService(TTSService):
-    def __init__(
-        self,
-        # if True, TTSService will push TTSStoppedFrames, otherwise subclass must do it
-        push_stop_frames: bool = False,
-        # if push_stop_frames is True, wait for this idle period before pushing TTSStoppedFrame
-        stop_frame_timeout_s: float = 1.0,
-        **kwargs,
-    ):
-        super().__init__(sync=False, **kwargs)
-        self._push_stop_frames: bool = push_stop_frames
-        self._stop_frame_timeout_s: float = stop_frame_timeout_s
-        self._stop_frame_task: Optional[asyncio.Task] = None
-        self._stop_frame_queue: asyncio.Queue = asyncio.Queue()
-
-    @abstractmethod
-    async def flush_audio(self):
-        pass
-
-    async def say(self, text: str):
-        await super().say(text)
-        await self.flush_audio()
-
-    async def start(self, frame: StartFrame):
-        await super().start(frame)
-        if self._push_stop_frames:
-            self._stop_frame_task = self.get_event_loop().create_task(self._stop_frame_handler())
-
-    async def stop(self, frame: EndFrame):
-        await super().stop(frame)
-        if self._stop_frame_task:
-            self._stop_frame_task.cancel()
-            await self._stop_frame_task
-            self._stop_frame_task = None
-
-    async def cancel(self, frame: CancelFrame):
-        await super().cancel(frame)
-        if self._stop_frame_task:
-            self._stop_frame_task.cancel()
-            await self._stop_frame_task
-            self._stop_frame_task = None
-
-    async def process_frame(self, frame: Frame, direction: FrameDirection):
-        await super().process_frame(frame, direction)
-        if isinstance(frame, TTSSpeakFrame):
-            await self.flush_audio()
-
-    async def push_frame(self, frame: Frame, direction: FrameDirection = FrameDirection.DOWNSTREAM):
-        await super().push_frame(frame, direction)
-
-        if self._push_stop_frames and (
-            isinstance(frame, StartInterruptionFrame)
-            or isinstance(frame, TTSStartedFrame)
-            or isinstance(frame, TTSAudioRawFrame)
-            or isinstance(frame, TTSStoppedFrame)
-        ):
-            await self._stop_frame_queue.put(frame)
-
     async def _stop_frame_handler(self):
         try:
             has_started = False
@@ -378,7 +365,7 @@ class AsyncTTSService(TTSService):
             pass
 
 
-class AsyncWordTTSService(AsyncTTSService):
+class WordTTSService(TTSService):
     def __init__(self, **kwargs):
         super().__init__(**kwargs)
         self._initial_word_timestamp = -1

src/pipecat/services/cartesia.py

@@ -26,7 +26,7 @@ from pipecat.frames.frames import (
 )
 from pipecat.processors.frame_processor import FrameDirection
 from pipecat.transcriptions.language import Language
-from pipecat.services.ai_services import AsyncWordTTSService, TTSService
+from pipecat.services.ai_services import WordTTSService, TTSService
 
 from loguru import logger
 
@@ -61,7 +61,7 @@ def language_to_cartesia_language(language: Language) -> str | None:
     return None
 
 
-class CartesiaTTSService(AsyncWordTTSService):
+class CartesiaTTSService(WordTTSService):
     class InputParams(BaseModel):
         encoding: Optional[str] = "pcm_s16le"
         sample_rate: Optional[int] = 16000

src/pipecat/services/elevenlabs.py

@@ -23,7 +23,7 @@ from pipecat.frames.frames import (
     TTSStoppedFrame,
 )
 from pipecat.processors.frame_processor import FrameDirection
-from pipecat.services.ai_services import AsyncWordTTSService
+from pipecat.services.ai_services import WordTTSService
 
 # See .env.example for ElevenLabs configuration needed
 try:
@@ -70,7 +70,7 @@ def calculate_word_times(
     return word_times
 
 
-class ElevenLabsTTSService(AsyncWordTTSService):
+class ElevenLabsTTSService(WordTTSService):
     class InputParams(BaseModel):
         language: Optional[str] = None
         output_format: Literal["pcm_16000", "pcm_22050", "pcm_24000", "pcm_44100"] = "pcm_16000"

src/pipecat/services/gladia.py

@@ -51,7 +51,7 @@ class GladiaSTTService(STTService):
         params: InputParams = InputParams(),
         **kwargs,
     ):
-        super().__init__(sync=False, **kwargs)
+        super().__init__(**kwargs)
 
         self._api_key = api_key
         self._url = url

src/pipecat/services/lmnt.py

@@ -20,7 +20,7 @@ from pipecat.frames.frames import (
     TTSStartedFrame,
     TTSStoppedFrame,
 )
-from pipecat.services.ai_services import AsyncTTSService
+from pipecat.services.ai_services import TTSService
 
 from loguru import logger
 
@@ -35,7 +35,7 @@ except ModuleNotFoundError as e:
     raise Exception(f"Missing module: {e}")
 
 
-class LmntTTSService(AsyncTTSService):
+class LmntTTSService(TTSService):
     def __init__(
         self,
         *,
@@ -47,7 +47,7 @@ class LmntTTSService(AsyncTTSService):
     ):
         # Let TTSService produce TTSStoppedFrames after a short delay of
         # no activity.
-        super().__init__(sync=False, push_stop_frames=True, sample_rate=sample_rate, **kwargs)
+        super().__init__(push_stop_frames=True, sample_rate=sample_rate, **kwargs)
 
         self._api_key = api_key
         self._voice_id = voice_id

src/pipecat/transports/base_input.py

@@ -31,7 +31,7 @@ from loguru import logger
 
 class BaseInputTransport(FrameProcessor):
     def __init__(self, params: TransportParams, **kwargs):
-        super().__init__(sync=False, **kwargs)
+        super().__init__(**kwargs)
 
         self._params = params
 

src/pipecat/transports/base_output.py

@@ -43,7 +43,7 @@ from pipecat.utils.time import nanoseconds_to_seconds
 
 class BaseOutputTransport(FrameProcessor):
     def __init__(self, params: TransportParams, **kwargs):
-        super().__init__(sync=False, **kwargs)
+        super().__init__(**kwargs)
 
         self._params = params
 

tests/test_langchain.py

@@ -7,9 +7,9 @@
 import unittest
 
 from pipecat.frames.frames import (
+    EndFrame,
     LLMFullResponseEndFrame,
     LLMFullResponseStartFrame,
-    StopTaskFrame,
     TextFrame,
     TranscriptionFrame,
     UserStartedSpeakingFrame,
@@ -32,6 +32,7 @@ from langchain_core.language_models import FakeStreamingListLLM
 class TestLangchain(unittest.IsolatedAsyncioTestCase):
     class MockProcessor(FrameProcessor):
         def __init__(self, name):
+            super().__init__()
             self.name = name
             self.token: list[str] = []
             # Start collecting tokens when we see the start frame
@@ -55,13 +56,13 @@ class TestLangchain(unittest.IsolatedAsyncioTestCase):
     def setUp(self):
         self.expected_response = "Hello dear human"
         self.fake_llm = FakeStreamingListLLM(responses=[self.expected_response])
-        self.mock_proc = self.MockProcessor("token_collector")
 
     async def test_langchain(self):
         messages = [("system", "Say hello to {name}"), ("human", "{input}")]
         prompt = ChatPromptTemplate.from_messages(messages).partial(name="Thomas")
         chain = prompt | self.fake_llm
         proc = LangchainProcessor(chain=chain)
+        self.mock_proc = self.MockProcessor("token_collector")
 
         tma_in = LLMUserResponseAggregator(messages)
         tma_out = LLMAssistantResponseAggregator(messages)
@@ -81,7 +82,7 @@ class TestLangchain(unittest.IsolatedAsyncioTestCase):
                 UserStartedSpeakingFrame(),
                 TranscriptionFrame(text="Hi World", user_id="user", timestamp="now"),
                 UserStoppedSpeakingFrame(),
-                StopTaskFrame(),
+                EndFrame(),
             ]
         )