Add typing support for session_args, fix debug logging in cloud.py

This commit is contained in:
Mark Backman
2025-07-26 21:56:06 -04:00
parent 65daac9853
commit 49435cd115
6 changed files with 148 additions and 88 deletions

View File

@@ -12,16 +12,25 @@ from loguru import logger
from pipecat.audio.vad.silero import SileroVADAnalyzer
from pipecat.pipeline.pipeline import Pipeline
from pipecat.pipeline.runner import PipelineRunner
from pipecat.pipeline.task import PipelineTask
from pipecat.pipeline.task import PipelineParams, PipelineTask
from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
from pipecat.runner.cloud import SmallWebRTCSessionArguments
from pipecat.services.cartesia.tts import CartesiaTTSService
from pipecat.services.deepgram.stt import DeepgramSTTService
from pipecat.services.openai.llm import OpenAILLMService
try:
from pipecatcloud.agent import DailySessionArguments, WebSocketSessionArguments
except ImportError:
raise ImportError(
"pipecatcloud package is required for cloud-compatible bots. "
"Install with: pip install pipecat-ai[[pipecatcloud]]"
)
load_dotenv(override=True)
async def run_bot_logic(transport, handle_sigint: bool = True):
async def run_bot(transport):
"""Main bot logic that works with any transport."""
logger.info(f"Starting bot")
@@ -56,7 +65,13 @@ async def run_bot_logic(transport, handle_sigint: bool = True):
]
)
task = PipelineTask(pipeline)
task = PipelineTask(
pipeline,
params=PipelineParams(
enable_metrics=True,
enable_usage_metrics=True,
),
)
@transport.event_handler("on_client_connected")
async def on_client_connected(transport, client):
@@ -69,18 +84,16 @@ async def run_bot_logic(transport, handle_sigint: bool = True):
logger.info("Client disconnected")
await task.cancel()
runner = PipelineRunner(handle_sigint=handle_sigint)
runner = PipelineRunner(handle_sigint=False)
await runner.run(task)
async def bot(session_args):
async def bot(
session_args: DailySessionArguments | SmallWebRTCSessionArguments | WebSocketSessionArguments,
):
"""Main bot entry point compatible with Pipecat Cloud."""
# Get handle_sigint from session_args, default to True for Daily
handle_sigint = getattr(session_args, "handle_sigint", True)
if hasattr(session_args, "room_url") and hasattr(session_args, "token"):
# Daily session arguments (cloud or local)
if isinstance(session_args, DailySessionArguments):
from pipecat.transports.services.daily import DailyParams, DailyTransport
transport = DailyTransport(
@@ -94,8 +107,7 @@ async def bot(session_args):
),
)
elif hasattr(session_args, "webrtc_connection"):
# WebRTC session arguments (local only, created by server.py)
elif isinstance(session_args, SmallWebRTCSessionArguments):
from pipecat.transports.base_transport import TransportParams
from pipecat.transports.network.small_webrtc import SmallWebRTCTransport
@@ -108,14 +120,13 @@ async def bot(session_args):
webrtc_connection=session_args.webrtc_connection,
)
elif hasattr(session_args, "websocket"):
# WebSocket session arguments (for telephony providers)
elif isinstance(session_args, WebSocketSessionArguments):
from pipecat.transports.network.fastapi_websocket import (
FastAPIWebsocketParams,
FastAPIWebsocketTransport,
)
# Create appropriate serializer based on transport type
# Create base parameters for telephony
params = FastAPIWebsocketParams(
audio_in_enabled=True,
audio_out_enabled=True,
@@ -123,43 +134,44 @@ async def bot(session_args):
add_wav_header=False,
)
if session_args.transport_type == "twilio":
# Create appropriate serializer based on transport type
transport_type = getattr(session_args, "transport_type", "unknown")
call_info = getattr(session_args, "call_info", {})
if transport_type == "twilio":
from pipecat.serializers.twilio import TwilioFrameSerializer
call_info = session_args.call_info
params.serializer = TwilioFrameSerializer(
stream_sid=call_info["stream_sid"],
call_sid=call_info["call_sid"],
account_sid=os.getenv("TWILIO_ACCOUNT_SID", ""),
auth_token=os.getenv("TWILIO_AUTH_TOKEN", ""),
)
elif session_args.transport_type == "telnyx":
elif transport_type == "telnyx":
from pipecat.serializers.telnyx import TelnyxFrameSerializer
call_info = session_args.call_info
params.serializer = TelnyxFrameSerializer(
stream_id=call_info["stream_id"],
call_control_id=call_info["call_control_id"],
outbound_encoding=call_info["outbound_encoding"],
inbound_encoding="PCMU",
)
elif session_args.transport_type == "plivo":
elif transport_type == "plivo":
from pipecat.serializers.plivo import PlivoFrameSerializer
call_info = session_args.call_info
params.serializer = PlivoFrameSerializer(
stream_id=call_info["stream_id"],
call_id=call_info["call_id"],
)
else:
raise ValueError(f"Unsupported WebSocket transport type: {session_args.transport_type}")
raise ValueError(f"Unsupported WebSocket transport type: {transport_type}")
transport = FastAPIWebsocketTransport(websocket=session_args.websocket, params=params)
else:
raise ValueError(f"Unknown session arguments: {session_args}")
raise ValueError(f"Unsupported session arguments type: {type(session_args)}")
await run_bot_logic(transport, handle_sigint)
await run_bot(transport)
if __name__ == "__main__":

View File

@@ -12,16 +12,25 @@ from loguru import logger
from pipecat.audio.vad.silero import SileroVADAnalyzer
from pipecat.pipeline.pipeline import Pipeline
from pipecat.pipeline.runner import PipelineRunner
from pipecat.pipeline.task import PipelineTask
from pipecat.pipeline.task import PipelineParams, PipelineTask
from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
from pipecat.runner.cloud import SmallWebRTCSessionArguments
from pipecat.services.cartesia.tts import CartesiaTTSService
from pipecat.services.deepgram.stt import DeepgramSTTService
from pipecat.services.openai.llm import OpenAILLMService
try:
from pipecatcloud.agent import DailySessionArguments
except ImportError:
raise ImportError(
"pipecatcloud package is required for cloud-compatible bots. "
"Install with: pip install pipecat-ai[[pipecatcloud]]"
)
load_dotenv(override=True)
async def run_bot_logic(transport):
async def run_bot(transport):
"""Main bot logic that works with any transport."""
logger.info(f"Starting bot")
@@ -56,7 +65,13 @@ async def run_bot_logic(transport):
]
)
task = PipelineTask(pipeline)
task = PipelineTask(
pipeline,
params=PipelineParams(
enable_metrics=True,
enable_usage_metrics=True,
),
)
@transport.event_handler("on_client_connected")
async def on_client_connected(transport, client):
@@ -73,11 +88,10 @@ async def run_bot_logic(transport):
await runner.run(task)
async def bot(session_args):
async def bot(session_args: DailySessionArguments | SmallWebRTCSessionArguments):
"""Main bot entry point compatible with Pipecat Cloud."""
if hasattr(session_args, "room_url"):
# Daily session arguments (cloud or local)
if isinstance(session_args, DailySessionArguments):
from pipecat.transports.services.daily import DailyParams, DailyTransport
transport = DailyTransport(
@@ -91,8 +105,7 @@ async def bot(session_args):
),
)
elif hasattr(session_args, "webrtc_connection"):
# WebRTC session arguments (local only, created by server.py)
elif isinstance(session_args, SmallWebRTCSessionArguments):
from pipecat.transports.base_transport import TransportParams
from pipecat.transports.network.small_webrtc import SmallWebRTCTransport
@@ -105,7 +118,7 @@ async def bot(session_args):
webrtc_connection=session_args.webrtc_connection,
)
await run_bot_logic(transport)
await run_bot(transport)
if __name__ == "__main__":

View File

@@ -15,6 +15,7 @@ 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.processors.frameworks.rtvi import RTVIConfig, RTVIObserver, RTVIProcessor
from pipecat.services.cartesia.tts import CartesiaTTSService
from pipecat.services.deepgram.stt import DeepgramSTTService
from pipecat.services.openai.llm import OpenAILLMService
@@ -69,9 +70,12 @@ async def run_bot(transport: BaseTransport, _: argparse.Namespace, handle_sigint
context = OpenAILLMContext(messages)
context_aggregator = llm.create_context_aggregator(context)
rtvi = RTVIProcessor(config=RTVIConfig(config=[]))
pipeline = Pipeline(
[
transport.input(), # Transport user input
rtvi,
stt,
context_aggregator.user(), # User responses
llm, # LLM
@@ -87,6 +91,7 @@ async def run_bot(transport: BaseTransport, _: argparse.Namespace, handle_sigint
enable_metrics=True,
enable_usage_metrics=True,
),
observers=[RTVIObserver(rtvi)],
)
@transport.event_handler("on_client_connected")

View File

@@ -79,6 +79,7 @@ openai = [ "websockets>=13.1,<15.0" ]
openpipe = [ "openpipe~=4.50.0" ]
openrouter = []
perplexity = []
pipecatcloud = [ "pipecatcloud>=0.2.0" ]
playht = [ "pyht>=0.1.6", "websockets>=13.1,<15.0" ]
qwen = []
rime = [ "websockets>=13.1,<15.0" ]

View File

@@ -10,29 +10,42 @@ This module provides a FastAPI-based development server that can run bots
structured for Pipecat Cloud deployment. It supports multiple transport types
and handles room/token management automatically.
It requires the pipecatcloud package for proper session argument types.
Install with::
pip install pipecat-ai[pipecatcloud]
All bots must implement a `bot(session_args)` async function as the entry point.
The server automatically discovers and executes this function when connections
are established.
Bot function signature::
async def bot(session_args):
# session_args contains transport-specific connection information
async def bot(session_args: DailySessionArguments | SmallWebRTCSessionArguments | WebSocketSessionArguments):
# For Daily: session_args.room_url, session_args.token, session_args.body
# For WebRTC: session_args.webrtc_connection
# For Telephony: session_args.websocket
# Create transport based on session_args attributes
if hasattr(session_args, 'room_url'):
# Daily transport setup
# Create transport based on session_args type
if isinstance(session_args, DailySessionArguments):
# Daily transport setup - guaranteed to have room_url, token
from pipecat.transports.services.daily import DailyTransport, DailyParams
transport = DailyTransport(session_args.room_url, session_args.token, "Bot", DailyParams(...))
elif hasattr(session_args, 'webrtc_connection'):
# WebRTC transport setup
transport = DailyTransport(
session_args.room_url,
session_args.token,
"Bot",
DailyParams(...)
)
elif isinstance(session_args, SmallWebRTCSessionArguments):
# WebRTC transport setup - guaranteed to have webrtc_connection
from pipecat.transports.network.small_webrtc import SmallWebRTCTransport
from pipecat.transports.base_transport import TransportParams
transport = SmallWebRTCTransport(TransportParams(...), webrtc_connection=session_args.webrtc_connection)
transport = SmallWebRTCTransport(
TransportParams(...),
webrtc_connection=session_args.webrtc_connection
)
elif isinstance(session_args, WebSocketSessionArguments):
# Telephony setup - guaranteed to have websocket
# Access call_info and transport_type via additional attributes
pass
# Run your bot logic
await run_bot_logic(transport)
@@ -45,12 +58,12 @@ Supported transports:
Example::
async def bot(session_args):
async def bot(session_args: DailySessionArguments | SmallWebRTCSessionArguments):
# Detect transport type from session_args
if hasattr(session_args, "room_url"):
if isinstance(session_args, DailySessionArguments):
# Daily
transport = create_daily_transport(session_args)
elif hasattr(session_args, "webrtc_connection"):
elif isinstance(session_args, SmallWebRTCSessionArguments):
# WebRTC
transport = create_webrtc_transport(session_args)
@@ -69,17 +82,41 @@ import asyncio
import os
import sys
from contextlib import asynccontextmanager
from typing import Dict
from dataclasses import dataclass
from typing import Any, Dict, Optional
import uvicorn
from dotenv import load_dotenv
from fastapi import BackgroundTasks, FastAPI
from fastapi import BackgroundTasks, FastAPI, WebSocket
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import RedirectResponse
from loguru import logger
from pipecat.runner.utils import setup_websocket_routes
# Require pipecatcloud for cloud-compatible bots
try:
from pipecatcloud.agent import DailySessionArguments, WebSocketSessionArguments
except ImportError:
raise ImportError(
"pipecatcloud package is required for cloud-compatible bots. "
"Install with: pip install pipecat-ai[pipecatcloud]"
)
# Define WebRTC type locally until it's added to pipecatcloud
@dataclass
class SmallWebRTCSessionArguments:
"""Small WebRTC session arguments for local development.
This will be replaced by pipecatcloud.agent.SmallWebRTCSessionArguments
when WebRTC support is added to Pipecat Cloud.
"""
webrtc_connection: Any
session_id: Optional[str] = None
load_dotenv(override=True)
os.environ["LOCAL_RUN"] = "1"
@@ -125,19 +162,18 @@ def _get_bot_module():
)
async def _run_telephony_bot(transport_type: str, websocket, call_info):
async def _run_telephony_bot(transport_type: str, websocket: WebSocket, call_info):
"""Run a bot for telephony transports."""
bot_module = _get_bot_module()
class WebSocketSessionArgs:
def __init__(self, transport_type, websocket, call_info):
self.transport_type = transport_type
self.websocket = websocket
self.call_info = call_info
self.body = {}
self.handle_sigint = False
session_args = WebSocketSessionArguments(
websocket=websocket,
session_id=None,
)
# Add transport-specific attributes
session_args.call_info = call_info
session_args.transport_type = transport_type
session_args = WebSocketSessionArgs(transport_type, websocket, call_info)
await bot_module.bot(session_args)
@@ -198,17 +234,12 @@ def _create_server_app(transport_type: str, host: str = "localhost", proxy: str
logger.info(f"Discarding peer connection for pc_id: {webrtc_connection.pc_id}")
pcs_map.pop(webrtc_connection.pc_id, None)
# Run bot directly
bot_module = _get_bot_module()
class WebRTCSessionArgs:
def __init__(self, webrtc_connection):
self.transport_type = "webrtc"
self.webrtc_connection = webrtc_connection
self.body = {}
self.handle_sigint = False
session_args = WebRTCSessionArgs(pipecat_connection)
session_args = SmallWebRTCSessionArguments(
webrtc_connection=pipecat_connection,
session_id=None,
)
background_tasks.add_task(bot_module.bot, session_args)
answer = pipecat_connection.get_answer()
@@ -252,15 +283,9 @@ def _create_server_app(transport_type: str, host: str = "localhost", proxy: str
# Start the bot in the background to join the room
bot_module = _get_bot_module()
class DailySessionArgs:
def __init__(self, room_url, token):
self.room_url = room_url
self.token = token
self.body = {}
self.handle_sigint = False
session_args = DailySessionArgs(room_url, token)
session_args = DailySessionArguments(
room_url=room_url, token=token, body={}, session_id=None
)
asyncio.create_task(bot_module.bot(session_args))
return RedirectResponse(room_url)
@@ -284,15 +309,9 @@ def _create_server_app(transport_type: str, host: str = "localhost", proxy: str
# Start the bot in the background
bot_module = _get_bot_module()
class DailySessionArgs:
def __init__(self, room_url, token):
self.room_url = room_url
self.token = token
self.body = {}
self.handle_sigint = False
session_args = DailySessionArgs(room_url, token)
session_args = DailySessionArguments(
room_url=room_url, token=token, body={}, session_id=None
)
asyncio.create_task(bot_module.bot(session_args))
return {"room_url": room_url, "token": token}
@@ -316,6 +335,7 @@ def main():
--port: Server port (default: 7860)
-t/--transport: Transport type (daily, webrtc, twilio, telnyx, plivo)
-x/--proxy: Public proxy hostname for telephony webhooks
-v/--verbose: Increase logging verbosity
The bot file must contain a `bot(session_args)` function as the entry point.
"""
@@ -331,9 +351,16 @@ def main():
help="Transport type",
)
parser.add_argument("--proxy", "-x", help="Public proxy host name")
parser.add_argument(
"--verbose", "-v", action="count", default=0, help="Increase logging verbosity"
)
args = parser.parse_args()
# Log level
logger.remove()
logger.add(sys.stderr, level="TRACE" if args.verbose else "DEBUG")
# Print startup message
if args.transport == "webrtc":
print()

View File

@@ -388,7 +388,9 @@ def main(
parser.add_argument(
"--esp32", action="store_true", default=False, help="Perform SDP munging for the ESP32"
)
parser.add_argument("--verbose", "-v", action="count", default=0)
parser.add_argument(
"--verbose", "-v", action="count", default=0, help="Increase logging verbosity"
)
args = parser.parse_args()