Convert RTVI framework into a structured package

Replace the monolithic rtvi.py with a proper package split by concern
protocol version:
  - models_v0.py: deprecated pre-1.0 Pydantic models
  - models_v1.py: current RTVI protocol v1 message models
  - frames.py: RTVI pipeline frame dataclasses
  - observer.py: RTVIObserver and RTVIObserverParams
  - processor.py: RTVIProcessor (now lean, imports from submodules)
  - __init__.py: re-exports full public API for backward compatability
This commit is contained in:
mattie ruth backman
2025-12-22 15:39:47 -05:00
committed by Mattie Ruth
parent ac80b787bf
commit 158424aa28
8 changed files with 2381 additions and 2171 deletions

View File

@@ -0,0 +1,653 @@
#
# Copyright (c) 2024-2026, Daily
#
# SPDX-License-Identifier: BSD 2-Clause License
#
"""RTVIProcessor: main RTVI protocol processor."""
import asyncio
import base64
from typing import Any, Dict, Mapping, Optional
from loguru import logger
from pydantic import BaseModel, ValidationError
import pipecat.processors.frameworks.rtvi.models_v1 as RTVI
from pipecat import version as pipecat_version
from pipecat.frames.frames import (
CancelFrame,
EndFrame,
EndTaskFrame,
ErrorFrame,
Frame,
FunctionCallResultFrame,
InputAudioRawFrame,
InputTransportMessageFrame,
LLMConfigureOutputFrame,
LLMMessagesAppendFrame,
OutputTransportMessageUrgentFrame,
StartFrame,
SystemFrame,
)
from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
from pipecat.processors.frameworks.rtvi.frames import RTVIActionFrame, RTVIClientMessageFrame
from pipecat.processors.frameworks.rtvi.models_v0 import (
RTVIAction,
RTVIActionResponse,
RTVIActionResponseData,
RTVIActionRun,
RTVIBotReadyDataDeprecated,
RTVIConfig,
RTVIConfigResponse,
RTVIDescribeActions,
RTVIDescribeActionsData,
RTVIDescribeConfig,
RTVIDescribeConfigData,
RTVIService,
RTVIServiceConfig,
RTVIServiceOptionConfig,
RTVIUpdateConfig,
)
from pipecat.processors.frameworks.rtvi.observer import RTVIObserver, RTVIObserverParams
from pipecat.services.llm_service import (
FunctionCallParams, # TODO(aleix): we shouldn't import `services` from `processors`
)
from pipecat.transports.base_input import BaseInputTransport
from pipecat.transports.base_transport import BaseTransport
class RTVIProcessor(FrameProcessor):
"""Main processor for handling RTVI protocol messages and actions.
This processor manages the RTVI protocol communication including client-server
handshaking, configuration management, action execution, and message routing.
It serves as the central hub for RTVI protocol operations.
"""
def __init__(
self,
*,
config: Optional[RTVIConfig] = None,
transport: Optional[BaseTransport] = None,
**kwargs,
):
"""Initialize the RTVI processor.
Args:
config: Initial RTVI configuration.
transport: Transport layer for communication.
**kwargs: Additional arguments passed to parent class.
"""
super().__init__(**kwargs)
self._config = config or RTVIConfig(config=[])
self._bot_ready = False
self._client_ready = False
self._client_ready_id = ""
# Default to 0.3.0 which is the last version before actually having a
# "client-version".
self._client_version = [0, 3, 0]
self._llm_skip_tts: bool = False # Keep in sync with llm_service.py's configuration.
self._registered_actions: Dict[str, RTVIAction] = {}
self._registered_services: Dict[str, RTVIService] = {}
# A task to process incoming action frames.
self._action_task: Optional[asyncio.Task] = None
# A task to process incoming transport messages.
self._message_task: Optional[asyncio.Task] = None
self._register_event_handler("on_bot_started")
self._register_event_handler("on_client_ready")
self._register_event_handler("on_client_message")
self._input_transport = None
self._transport = transport
if self._transport:
input_transport = self._transport.input()
if isinstance(input_transport, BaseInputTransport):
self._input_transport = input_transport
self._input_transport.enable_audio_in_stream_on_start(False)
def register_action(self, action: RTVIAction):
"""Register an action that can be executed via RTVI.
Args:
action: The action to register.
"""
import warnings
with warnings.catch_warnings():
warnings.simplefilter("always")
warnings.warn(
"The actions API is deprecated, use server and client messages instead.",
DeprecationWarning,
)
id = self._action_id(action.service, action.action)
self._registered_actions[id] = action
def register_service(self, service: RTVIService):
"""Register a service that can be configured via RTVI.
Args:
service: The service to register.
"""
import warnings
with warnings.catch_warnings():
warnings.simplefilter("always")
warnings.warn(
"The actions API is deprecated, use server and client messages instead.",
DeprecationWarning,
)
self._registered_services[service.name] = service
def create_rtvi_observer(self, *, params: Optional[RTVIObserverParams] = None, **kwargs):
"""Creates a new RTVI Observer.
Args:
params: Settings to enable/disable specific messages.
**kwargs: Additional arguments passed to the observer.
Returns:
A new RTVI observer.
"""
return RTVIObserver(self, params=params, **kwargs)
async def set_client_ready(self):
"""Mark the client as ready and trigger the ready event."""
self._client_ready = True
await self._call_event_handler("on_client_ready")
async def set_bot_ready(self, about: Mapping[str, Any] = None):
"""Mark the bot as ready and send the bot-ready message.
Args:
about: Optional information about the bot to include in the ready message.
If left as None, the Pipecat library and version will be used.
"""
self._bot_ready = True
# Only call the (deprecated) _update_config method if the we're using a
# config (which is deprecated). Otherwise we'd always print an
# unnecessary deprecation warning.
if self._config.config:
await self._update_config(self._config, False)
await self._send_bot_ready(about=about)
async def interrupt_bot(self):
"""Send a bot interruption frame upstream."""
await self.broadcast_interruption()
async def send_server_message(self, data: Any):
"""Send a server message to the client."""
message = RTVI.ServerMessage(data=data)
await self._send_server_message(message)
async def send_server_response(self, client_msg: RTVI.ClientMessage, data: Any):
"""Send a server response for a given client message."""
message = RTVI.ServerResponse(
id=client_msg.msg_id, data=RTVI.RawServerResponseData(t=client_msg.type, d=data)
)
await self._send_server_message(message)
async def send_error_response(self, client_msg: RTVI.ClientMessage, error: str):
"""Send an error response for a given client message."""
await self._send_error_response(id=client_msg.msg_id, error=error)
async def send_error(self, error: str):
"""Send an error message to the client.
Args:
error: The error message to send.
"""
await self._send_error_frame(ErrorFrame(error=error))
async def push_transport_message(self, model: BaseModel, exclude_none: bool = True):
"""Push a transport message frame."""
frame = OutputTransportMessageUrgentFrame(
message=model.model_dump(exclude_none=exclude_none)
)
await self.push_frame(frame)
async def handle_message(self, message: RTVI.Message):
"""Handle an incoming RTVI message.
Args:
message: The RTVI message to handle.
"""
await self._message_queue.put(message)
async def handle_function_call(self, params: FunctionCallParams):
"""Handle a function call from the LLM.
Args:
params: The function call parameters.
.. deprecated:: 0.0.102
This method is deprecated. Function call events are now automatically
sent by ``RTVIObserver`` using the ``llm-function-call-in-progress`` event.
Configure reporting level via ``RTVIObserverParams.function_call_report_level``.
"""
import warnings
warnings.warn(
"handle_function_call is deprecated. Function call events are now "
"automatically sent by RTVIObserver using llm-function-call-in-progress.",
DeprecationWarning,
stacklevel=2,
)
fn = RTVI.LLMFunctionCallMessageData(
function_name=params.function_name,
tool_call_id=params.tool_call_id,
args=params.arguments,
)
message = RTVI.LLMFunctionCallMessage(data=fn)
await self.push_transport_message(message, exclude_none=False)
async def process_frame(self, frame: Frame, direction: FrameDirection):
"""Process incoming frames through the RTVI processor.
Args:
frame: The frame to process.
direction: The direction of frame flow.
"""
await super().process_frame(frame, direction)
# Specific system frames
if isinstance(frame, StartFrame):
# Push StartFrame before start(), because we want StartFrame to be
# processed by every processor before any other frame is processed.
await self.push_frame(frame, direction)
await self._start(frame)
elif isinstance(frame, CancelFrame):
await self._cancel(frame)
await self.push_frame(frame, direction)
elif isinstance(frame, ErrorFrame):
await self._send_error_frame(frame)
await self.push_frame(frame, direction)
elif isinstance(frame, InputTransportMessageFrame):
await self._handle_transport_message(frame)
# All other system frames
elif isinstance(frame, SystemFrame):
await self.push_frame(frame, direction)
# Control frames
elif isinstance(frame, EndFrame):
# Push EndFrame before stop(), because stop() waits on the task to
# finish and the task finishes when EndFrame is processed.
await self.push_frame(frame, direction)
await self._stop(frame)
# Data frames
elif isinstance(frame, RTVIActionFrame):
await self._action_queue.put(frame)
elif isinstance(frame, LLMConfigureOutputFrame):
self._llm_skip_tts = frame.skip_tts
await self.push_frame(frame, direction)
# Other frames
else:
await self.push_frame(frame, direction)
async def _start(self, frame: StartFrame):
"""Start the RTVI processor tasks."""
if not self._action_task:
self._action_queue = asyncio.Queue()
self._action_task = self.create_task(self._action_task_handler())
if not self._message_task:
self._message_queue = asyncio.Queue()
self._message_task = self.create_task(self._message_task_handler())
await self._call_event_handler("on_bot_started")
async def _stop(self, frame: EndFrame):
"""Stop the RTVI processor tasks."""
await self._cancel_tasks()
async def _cancel(self, frame: CancelFrame):
"""Cancel the RTVI processor tasks."""
await self._cancel_tasks()
async def _cancel_tasks(self):
"""Cancel all running tasks."""
if self._action_task:
await self.cancel_task(self._action_task)
self._action_task = None
if self._message_task:
await self.cancel_task(self._message_task)
self._message_task = None
async def _action_task_handler(self):
"""Handle incoming action frames."""
while True:
frame = await self._action_queue.get()
await self._handle_action(frame.message_id, frame.rtvi_action_run)
self._action_queue.task_done()
async def _message_task_handler(self):
"""Handle incoming transport messages."""
while True:
message = await self._message_queue.get()
await self._handle_message(message)
self._message_queue.task_done()
async def _handle_transport_message(self, frame: InputTransportMessageFrame):
"""Handle an incoming transport message frame."""
try:
transport_message = frame.message
if transport_message.get("label") != RTVI.MESSAGE_LABEL:
logger.warning(f"Ignoring not RTVI message: {transport_message}")
return
message = RTVI.Message.model_validate(transport_message)
await self._message_queue.put(message)
except ValidationError as e:
await self.send_error(f"Invalid RTVI transport message: {e}")
logger.warning(f"Invalid RTVI transport message: {e}")
async def _handle_message(self, message: RTVI.Message):
"""Handle a parsed RTVI message."""
try:
match message.type:
case "client-ready":
data = None
try:
data = RTVI.ClientReadyData.model_validate(message.data)
except ValidationError:
# Not all clients have been updated to RTVI 1.0.0.
# For now, that's okay, we just log their info as unknown.
data = None
pass
await self._handle_client_ready(message.id, data)
case "describe-actions":
await self._handle_describe_actions(message.id)
case "describe-config":
await self._handle_describe_config(message.id)
case "get-config":
await self._handle_get_config(message.id)
case "update-config":
update_config = RTVIUpdateConfig.model_validate(message.data)
await self._handle_update_config(message.id, update_config)
case "disconnect-bot":
await self.push_frame(EndTaskFrame(), FrameDirection.UPSTREAM)
case "client-message":
data = RTVI.RawClientMessageData.model_validate(message.data)
await self._handle_client_message(message.id, data)
case "action":
action = RTVIActionRun.model_validate(message.data)
action_frame = RTVIActionFrame(message_id=message.id, rtvi_action_run=action)
await self._action_queue.put(action_frame)
case "llm-function-call-result":
data = RTVI.LLMFunctionCallResultData.model_validate(message.data)
await self._handle_function_call_result(data)
case "send-text":
data = RTVI.SendTextData.model_validate(message.data)
await self._handle_send_text(data)
case "append-to-context":
logger.warning(
f"The append-to-context message is deprecated, use send-text instead."
)
data = RTVI.AppendToContextData.model_validate(message.data)
await self._handle_update_context(data)
case "raw-audio" | "raw-audio-batch":
await self._handle_audio_buffer(message.data)
case _:
await self._send_error_response(message.id, f"Unsupported type {message.type}")
except ValidationError as e:
await self._send_error_response(message.id, f"Invalid message: {e}")
logger.warning(f"Invalid message: {e}")
except Exception as e:
await self._send_error_response(message.id, f"Exception processing message: {e}")
logger.warning(f"Exception processing message: {e}")
async def _handle_client_ready(self, request_id: str, data: RTVI.ClientReadyData | None):
"""Handle the client-ready message from the client."""
version = data.version if data else None
logger.debug(f"Received client-ready: version {version}")
if version:
try:
self._client_version = [int(v) for v in version.split(".")]
except ValueError:
logger.warning(f"Invalid client version format: {version}")
about = data.about if data else {"library": "unknown"}
logger.debug(f"Client Details: {about}")
if self._input_transport:
await self._input_transport.start_audio_in_streaming()
self._client_ready_id = request_id
await self.set_client_ready()
async def _handle_audio_buffer(self, data):
"""Handle incoming audio buffer data."""
if not self._input_transport:
return
# Extract audio batch ensuring it's a list
audio_list = data.get("base64AudioBatch") or [data.get("base64Audio")]
try:
for base64_audio in filter(None, audio_list): # Filter out None values
pcm_bytes = base64.b64decode(base64_audio)
frame = InputAudioRawFrame(
audio=pcm_bytes,
sample_rate=data["sampleRate"],
num_channels=data["numChannels"],
)
await self._input_transport.push_audio_frame(frame)
except (KeyError, TypeError, ValueError) as e:
# Handle missing keys, decoding errors, and invalid types
logger.error(f"Error processing audio buffer: {e}")
async def _handle_describe_config(self, request_id: str):
"""Handle a describe-config request."""
import warnings
with warnings.catch_warnings():
warnings.simplefilter("always")
warnings.warn(
"Configuration helpers are deprecated. If your application needs this behavior, use custom server and client messages.",
DeprecationWarning,
)
services = list(self._registered_services.values())
message = RTVIDescribeConfig(id=request_id, data=RTVIDescribeConfigData(config=services))
await self.push_transport_message(message)
async def _handle_describe_actions(self, request_id: str):
"""Handle a describe-actions request."""
import warnings
with warnings.catch_warnings():
warnings.simplefilter("always")
warnings.warn(
"The Actions API is deprecated, use custom server and client messages instead.",
DeprecationWarning,
)
actions = list(self._registered_actions.values())
message = RTVIDescribeActions(id=request_id, data=RTVIDescribeActionsData(actions=actions))
await self.push_transport_message(message)
async def _handle_get_config(self, request_id: str):
"""Handle a get-config request."""
import warnings
with warnings.catch_warnings():
warnings.simplefilter("always")
warnings.warn(
"Configuration helpers are deprecated. If your application needs this behavior, use custom server and client messages.",
DeprecationWarning,
)
message = RTVIConfigResponse(id=request_id, data=self._config)
await self.push_transport_message(message)
def _update_config_option(self, service: str, config: RTVIServiceOptionConfig):
"""Update a specific configuration option."""
for service_config in self._config.config:
if service_config.service == service:
for option_config in service_config.options:
if option_config.name == config.name:
option_config.value = config.value
return
# If we couldn't find a value for this config, we simply need to
# add it.
service_config.options.append(config)
async def _update_service_config(self, config: RTVIServiceConfig):
"""Update configuration for a specific service."""
import warnings
with warnings.catch_warnings():
warnings.simplefilter("always")
warnings.warn(
"Configuration helpers are deprecated. If your application needs this behavior, use custom server and client messages.",
DeprecationWarning,
)
service = self._registered_services[config.service]
for option in config.options:
handler = service._options_dict[option.name].handler
await handler(self, service.name, option)
self._update_config_option(service.name, option)
async def _update_config(self, data: RTVIConfig, interrupt: bool):
"""Update the RTVI configuration."""
import warnings
with warnings.catch_warnings():
warnings.simplefilter("always")
warnings.warn(
"Configuration helpers are deprecated. If your application needs this behavior, use custom server and client messages.",
DeprecationWarning,
)
if interrupt:
await self.interrupt_bot()
for service_config in data.config:
await self._update_service_config(service_config)
async def _handle_update_config(self, request_id: str, data: RTVIUpdateConfig):
"""Handle an update-config request."""
await self._update_config(RTVIConfig(config=data.config), data.interrupt)
await self._handle_get_config(request_id)
async def _handle_send_text(self, data: RTVI.SendTextData):
"""Handle a send-text message from the client."""
opts = data.options if data.options is not None else RTVI.SendTextOptions()
if opts.run_immediately:
await self.interrupt_bot()
cur_llm_skip_tts = self._llm_skip_tts
should_skip_tts = not opts.audio_response
toggle_skip_tts = cur_llm_skip_tts != should_skip_tts
if toggle_skip_tts:
output_frame = LLMConfigureOutputFrame(skip_tts=should_skip_tts)
await self.push_frame(output_frame)
text_frame = LLMMessagesAppendFrame(
messages=[{"role": "user", "content": data.content}],
run_llm=opts.run_immediately,
)
await self.push_frame(text_frame)
if toggle_skip_tts:
output_frame = LLMConfigureOutputFrame(skip_tts=cur_llm_skip_tts)
await self.push_frame(output_frame)
async def _handle_update_context(self, data: RTVI.AppendToContextData):
if data.run_immediately:
await self.interrupt_bot()
frame = LLMMessagesAppendFrame(
messages=[{"role": data.role, "content": data.content}],
run_llm=data.run_immediately,
)
await self.push_frame(frame)
async def _handle_client_message(self, msg_id: str, data: RTVI.RawClientMessageData):
"""Handle a client message frame."""
if not data:
await self._send_error_response(msg_id, "Malformed client message")
return
# Create a RTVIClientMessageFrame to push the message
frame = RTVIClientMessageFrame(msg_id=msg_id, type=data.t, data=data.d)
await self.push_frame(frame)
await self._call_event_handler(
"on_client_message",
RTVI.ClientMessage(
msg_id=msg_id,
type=data.t,
data=data.d,
),
)
async def _handle_function_call_result(self, data):
"""Handle a function call result from the client."""
frame = FunctionCallResultFrame(
function_name=data.function_name,
tool_call_id=data.tool_call_id,
arguments=data.arguments,
result=data.result,
)
await self.push_frame(frame)
async def _handle_action(self, request_id: Optional[str], data: RTVIActionRun):
"""Handle an action execution request."""
action_id = self._action_id(data.service, data.action)
if action_id not in self._registered_actions:
await self._send_error_response(request_id, f"Action {action_id} not registered")
return
action = self._registered_actions[action_id]
arguments = {}
if data.arguments:
for arg in data.arguments:
arguments[arg.name] = arg.value
result = await action.handler(self, action.service, arguments)
# Only send a response if request_id is present. Things that don't care about
# action responses (such as webhooks) don't set a request_id
if request_id:
message = RTVIActionResponse(id=request_id, data=RTVIActionResponseData(result=result))
await self.push_transport_message(message)
async def _send_bot_ready(self, about: Mapping[str, Any] = None):
"""Send the bot-ready message to the client.
Args:
about: Optional information about the bot to include in the ready message.
If left as None, the pipecat library and version will be used.
"""
if not about:
about = {"library": "pipecat-ai", "library_version": f"{pipecat_version()}"}
if self._client_version and self._client_version[0] < 1:
config = self._config.config
message = RTVI.BotReady(
id=self._client_ready_id,
data=RTVIBotReadyDataDeprecated(
version=RTVI.PROTOCOL_VERSION, about=about, config=config
),
)
else:
message = RTVI.BotReady(
id=self._client_ready_id,
data=RTVI.BotReadyData(version=RTVI.PROTOCOL_VERSION, about=about),
)
await self.push_transport_message(message)
async def _send_server_message(self, message: RTVI.ServerMessage | RTVI.ServerResponse):
"""Send a message or response to the client."""
await self.push_transport_message(message)
async def _send_error_frame(self, frame: ErrorFrame):
"""Send an error frame as an RTVI error message."""
message = RTVI.Error(data=RTVI.ErrorData(error=frame.error, fatal=frame.fatal))
await self.push_transport_message(message)
async def _send_error_response(self, id: str, error: str):
"""Send an error response message."""
message = RTVI.ErrorResponse(id=id, data=RTVI.ErrorResponseData(error=error))
await self.push_transport_message(message)
def _action_id(self, service: str, action: str) -> str:
"""Generate an action ID from service and action names."""
return f"{service}:{action}"