Merge pull request #2697 from pipecat-ai/aleix/frame-processor-before-after-events

FrameProcessor: add before/after events for processed/pushed frames
This commit is contained in:
Aleix Conchillo Flaqué
2025-09-20 10:26:37 -07:00
committed by GitHub
4 changed files with 222 additions and 0 deletions

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@@ -9,6 +9,13 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
### Added
- Added `on_before_process_frame`, `on_after_process_frame`,
`on_before_push_frame` and `on_after_push_frame`. These are synchronous events
that get called before and after a frame is processed or pushed. Note that
these events are synchrnous so they should ideally perform lightweight tasks
in order to not block the pipeline. See
`examples/foundational/45-before-and-after-events.py`.
- Added `on_before_leave` synchronous event to `DailyTransport`.
- Added `on_before_disconnect` synchronous event to `LiveKitTransport`.

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@@ -0,0 +1,150 @@
#
# Copyright (c) 20242025, Daily
#
# SPDX-License-Identifier: BSD 2-Clause License
#
import os
from dataclasses import dataclass
from dotenv import load_dotenv
from loguru import logger
from pipecat.audio.turn.smart_turn.base_smart_turn import SmartTurnParams
from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
from pipecat.audio.vad.silero import SileroVADAnalyzer
from pipecat.audio.vad.vad_analyzer import VADParams
from pipecat.frames.frames import DataFrame, LLMRunFrame
from pipecat.pipeline.pipeline import Pipeline
from pipecat.pipeline.runner import PipelineRunner
from pipecat.pipeline.task import PipelineParams, PipelineTask
from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
from pipecat.runner.types import RunnerArguments
from pipecat.runner.utils import create_transport
from pipecat.services.cartesia.tts import CartesiaTTSService
from pipecat.services.deepgram.stt import DeepgramSTTService
from pipecat.services.openai.llm import OpenAILLMService
from pipecat.transports.base_transport import BaseTransport, TransportParams
from pipecat.transports.daily.transport import DailyParams
from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
load_dotenv(override=True)
@dataclass
class CustomBeforeProcessFrame(DataFrame):
pass
@dataclass
class CustomAfterPushFrame(DataFrame):
pass
# We store functions so objects (e.g. SileroVADAnalyzer) don't get
# instantiated. The function will be called when the desired transport gets
# selected.
transport_params = {
"daily": lambda: DailyParams(
audio_in_enabled=True,
audio_out_enabled=True,
vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.2)),
turn_analyzer=LocalSmartTurnAnalyzerV3(params=SmartTurnParams()),
),
"twilio": lambda: FastAPIWebsocketParams(
audio_in_enabled=True,
audio_out_enabled=True,
vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.2)),
turn_analyzer=LocalSmartTurnAnalyzerV3(params=SmartTurnParams()),
),
"webrtc": lambda: TransportParams(
audio_in_enabled=True,
audio_out_enabled=True,
vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.2)),
turn_analyzer=LocalSmartTurnAnalyzerV3(params=SmartTurnParams()),
),
}
async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
logger.info(f"Starting bot")
stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
tts = CartesiaTTSService(
api_key=os.getenv("CARTESIA_API_KEY"),
voice_id="71a7ad14-091c-4e8e-a314-022ece01c121", # British Reading Lady
)
llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
messages = [
{
"role": "system",
"content": "You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be converted to audio so don't include special characters in your answers. Respond to what the user said in a creative and helpful way.",
},
]
context = OpenAILLMContext(messages)
context_aggregator = llm.create_context_aggregator(context)
pipeline = Pipeline(
[
transport.input(), # Transport user input
stt,
context_aggregator.user(), # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
]
)
task = PipelineTask(
pipeline,
params=PipelineParams(
enable_metrics=True,
enable_usage_metrics=True,
),
idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
)
@transport.output().event_handler("on_before_process_frame")
async def transport_on_before_process_frame(transport, frame):
if isinstance(frame, CustomBeforeProcessFrame):
logger.info("*** CUSTOM FRAME RECEIVED. Bot is about to talk, let's do something!")
@transport.output().event_handler("on_after_push_frame")
async def transport_on_after_push_frame(transport, frame):
if isinstance(frame, CustomAfterPushFrame):
logger.info("*** CUSTOM FRAME RECEIVED. Bot has stopped talking, let's do something!")
@transport.event_handler("on_client_connected")
async def on_client_connected(transport, client):
logger.info(f"Client connected")
# Kick off the conversation.
messages.append({"role": "system", "content": "Please introduce yourself to the user."})
# CustomSynchronizationFrame is pushed in order so it will reach the
# `on_after_push_frame` handler before the bot has finished talking.
await task.queue_frames([CustomBeforeProcessFrame(), LLMRunFrame(), CustomAfterPushFrame()])
@transport.event_handler("on_client_disconnected")
async def on_client_disconnected(transport, client):
logger.info(f"Client disconnected")
await task.cancel()
runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
await runner.run(task)
async def bot(runner_args: RunnerArguments):
"""Main bot entry point compatible with Pipecat Cloud."""
transport = await create_transport(runner_args, transport_params)
await run_bot(transport, runner_args)
if __name__ == "__main__":
from pipecat.runner.run import main
main()

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@@ -141,6 +141,12 @@ class FrameProcessor(BaseObject):
task. System frames are also processed in a separate task which guarantees
frame priority.
Event handlers available:
- on_before_process_frame: Called before a frame is processed
- on_after_process_frame: Called after a frame is processed
- on_before_push_frame: Called before a frame is pushed
- on_after_push_frame: Called after a frame is pushed
"""
def __init__(
@@ -228,6 +234,12 @@ class FrameProcessor(BaseObject):
self._wait_for_interruption = False
self._wait_interruption_event = asyncio.Event()
# Frame processor events.
self._register_event_handler("on_before_process_frame", sync=True)
self._register_event_handler("on_after_process_frame", sync=True)
self._register_event_handler("on_before_push_frame", sync=True)
self._register_event_handler("on_after_push_frame", sync=True)
@property
def id(self) -> int:
"""Get the unique identifier for this processor.
@@ -639,8 +651,12 @@ class FrameProcessor(BaseObject):
if not self._check_started(frame):
return
await self._call_event_handler("on_before_push_frame", frame)
await self.__internal_push_frame(frame, direction)
await self._call_event_handler("on_after_push_frame", frame)
# If we are waiting for an interruption and we get an interruption, then
# we can unblock `push_interruption_task_frame_and_wait()`.
if self._wait_for_interruption and isinstance(frame, InterruptionFrame):
@@ -836,11 +852,15 @@ class FrameProcessor(BaseObject):
self, frame: Frame, direction: FrameDirection, callback: Optional[FrameCallback]
):
try:
await self._call_event_handler("on_before_process_frame", frame)
# Process the frame.
await self.process_frame(frame, direction)
# If this frame has an associated callback, call it now.
if callback:
await callback(self, frame, direction)
await self._call_event_handler("on_after_process_frame", frame)
except Exception as e:
logger.exception(f"{self}: error processing frame: {e}")
await self.push_error(ErrorFrame(str(e)))

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@@ -15,11 +15,56 @@ from pipecat.frames.frames import (
TransportMessageUrgentFrame,
)
from pipecat.pipeline.pipeline import Pipeline
from pipecat.processors.filters.identity_filter import IdentityFilter
from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
from pipecat.tests.utils import SleepFrame, run_test
class TestFrameProcessor(unittest.IsolatedAsyncioTestCase):
async def test_before_after_events(self):
identity = IdentityFilter()
before_process_called = False
after_process_called = False
before_push_called = False
after_push_called = False
@identity.event_handler("on_before_process_frame")
async def on_before_process_frame(filter, frame):
nonlocal before_process_called
before_process_called = True
@identity.event_handler("on_after_process_frame")
async def on_after_process_frame(filter, frame):
nonlocal after_process_called
after_process_called = True
@identity.event_handler("on_before_push_frame")
async def on_before_push_frame(filter, frame):
nonlocal before_push_called
before_push_called = True
@identity.event_handler("on_after_push_frame")
async def on_after_push_frame(filter, frame):
nonlocal after_push_called
after_push_called = True
pipeline = Pipeline([identity])
frames_to_send = [TextFrame(text="Hello cat!")]
expected_down_frames = [TextFrame]
await run_test(
pipeline,
frames_to_send=frames_to_send,
expected_down_frames=expected_down_frames,
)
assert before_process_called
assert after_process_called
assert before_push_called
assert after_push_called
async def test_interruption_and_wait(self):
class DelayFrameProcessor(FrameProcessor):
"""This processors just gives time to the event loop to change