Files
pipecat/src/pipecat/runner/run.py

886 lines
31 KiB
Python
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
#
# Copyright (c) 20242025, Daily
#
# SPDX-License-Identifier: BSD 2-Clause License
#
"""Pipecat development runner.
This development runner executes Pipecat bots and provides the supporting
infrastructure they need - creating Daily rooms and tokens, managing WebRTC
connections, and setting up telephony webhook/WebSocket infrastructure. It
supports multiple transport types with a unified interface.
Install with::
pip install pipecat-ai[runner]
All bots must implement a `bot(runner_args)` async function as the entry point.
The server automatically discovers and executes this function when connections
are established.
Single transport example::
async def bot(runner_args: RunnerArguments):
transport = DailyTransport(
runner_args.room_url,
runner_args.token,
"Bot",
DailyParams(...)
)
# Your bot logic here
await run_pipeline(transport)
if __name__ == "__main__":
from pipecat.runner.run import main
main()
Multiple transport example::
async def bot(runner_args: RunnerArguments):
# Type-safe transport detection
if isinstance(runner_args, DailyRunnerArguments):
transport = setup_daily_transport(runner_args) # Your application code
elif isinstance(runner_args, SmallWebRTCRunnerArguments):
transport = setup_webrtc_transport(runner_args) # Your application code
elif isinstance(runner_args, WebSocketRunnerArguments):
transport = setup_telephony_transport(runner_args) # Your application code
# Your bot implementation
await run_pipeline(transport)
Supported transports:
- Daily - Creates rooms and tokens, runs bot as participant
- WebRTC - Provides local WebRTC interface with prebuilt UI
- Telephony - Handles webhook and WebSocket connections for Twilio, Telnyx, Plivo, Exotel
To run locally:
- WebRTC: `python bot.py -t webrtc`
- ESP32: `python bot.py -t webrtc --esp32 --host 192.168.1.100`
- Daily (server): `python bot.py -t daily`
- Daily (direct, testing only): `python bot.py -d`
- Telephony: `python bot.py -t twilio -x your_username.ngrok.io`
- Exotel: `python bot.py -t exotel` (no proxy needed, but ngrok connection to HTTP 7860 is required)
"""
import argparse
import asyncio
import mimetypes
import os
import sys
import uuid
from contextlib import asynccontextmanager
from http import HTTPMethod
from pathlib import Path
from typing import Any, Dict, List, Optional, TypedDict, Union
import aiohttp
from fastapi.responses import FileResponse, Response
from loguru import logger
from pipecat.runner.types import (
DailyRunnerArguments,
RunnerArguments,
SmallWebRTCRunnerArguments,
WebSocketRunnerArguments,
)
try:
import uvicorn
from dotenv import load_dotenv
from fastapi import BackgroundTasks, FastAPI, Header, HTTPException, Request, WebSocket
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import HTMLResponse, RedirectResponse
except ImportError as e:
logger.error(f"Runner dependencies not available: {e}")
logger.error("To use Pipecat runners, install with: pip install pipecat-ai[runner]")
raise ImportError(
"Runner dependencies required. Install with: pip install pipecat-ai[runner]"
) from e
load_dotenv(override=True)
os.environ["ENV"] = "local"
TELEPHONY_TRANSPORTS = ["twilio", "telnyx", "plivo", "exotel"]
RUNNER_DOWNLOADS_FOLDER: Optional[str] = None
RUNNER_HOST: str = "localhost"
RUNNER_PORT: int = 7860
def _get_bot_module():
"""Get the bot module from the calling script."""
import importlib.util
# Get the main module (the file that was executed)
main_module = sys.modules["__main__"]
# Check if it has a bot function
if hasattr(main_module, "bot"):
return main_module
# Try to import 'bot' module from current directory
try:
import bot # type: ignore[import-untyped]
return bot
except ImportError:
pass
# Look for any .py file in current directory that has a bot function
# (excluding server.py).
cwd = os.getcwd()
for filename in os.listdir(cwd):
if filename.endswith(".py") and filename != "server.py":
try:
module_name = filename[:-3] # Remove .py extension
spec = importlib.util.spec_from_file_location(
module_name, os.path.join(cwd, filename)
)
module = importlib.util.module_from_spec(spec)
spec.loader.exec_module(module)
if hasattr(module, "bot"):
return module
except Exception:
continue
raise ImportError(
"Could not find 'bot' function. Make sure your bot file has a 'bot' function."
)
async def _run_telephony_bot(websocket: WebSocket):
"""Run a bot for telephony transports."""
bot_module = _get_bot_module()
# Just pass the WebSocket - let the bot handle parsing
runner_args = WebSocketRunnerArguments(websocket=websocket)
await bot_module.bot(runner_args)
def _create_server_app(
*,
transport_type: str,
host: str = "localhost",
proxy: str,
esp32_mode: bool = False,
whatsapp_enabled: bool = False,
folder: Optional[str] = None,
):
"""Create FastAPI app with transport-specific routes."""
app = FastAPI()
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
# Set up transport-specific routes
if transport_type == "webrtc":
_setup_webrtc_routes(app, esp32_mode=esp32_mode, host=host, folder=folder)
if whatsapp_enabled:
_setup_whatsapp_routes(app)
elif transport_type == "daily":
_setup_daily_routes(app)
elif transport_type in TELEPHONY_TRANSPORTS:
_setup_telephony_routes(app, transport_type=transport_type, proxy=proxy)
else:
logger.warning(f"Unknown transport type: {transport_type}")
return app
def _setup_webrtc_routes(
app: FastAPI, *, esp32_mode: bool = False, host: str = "localhost", folder: Optional[str] = None
):
"""Set up WebRTC-specific routes."""
try:
from pipecat_ai_small_webrtc_prebuilt.frontend import SmallWebRTCPrebuiltUI
from pipecat.transports.smallwebrtc.connection import SmallWebRTCConnection
from pipecat.transports.smallwebrtc.request_handler import (
IceCandidate,
SmallWebRTCPatchRequest,
SmallWebRTCRequest,
SmallWebRTCRequestHandler,
)
except ImportError as e:
logger.error(f"WebRTC transport dependencies not installed: {e}")
return
class IceServer(TypedDict, total=False):
urls: Union[str, List[str]]
class IceConfig(TypedDict):
iceServers: List[IceServer]
class StartBotResult(TypedDict, total=False):
sessionId: str
iceConfig: Optional[IceConfig]
# In-memory store of active sessions: session_id -> session info
active_sessions: Dict[str, Dict[str, Any]] = {}
# Mount the frontend
app.mount("/client", SmallWebRTCPrebuiltUI)
@app.get("/", include_in_schema=False)
async def root_redirect():
"""Redirect root requests to client interface."""
return RedirectResponse(url="/client/")
@app.get("/files/{filename:path}")
async def download_file(filename: str):
"""Handle file downloads."""
if not folder:
logger.warning(f"Attempting to dowload {filename}, but downloads folder not setup.")
return
file_path = Path(folder) / filename
if not os.path.exists(file_path):
raise HTTPException(404)
media_type, _ = mimetypes.guess_type(file_path)
return FileResponse(path=file_path, media_type=media_type, filename=filename)
# Initialize the SmallWebRTC request handler
small_webrtc_handler: SmallWebRTCRequestHandler = SmallWebRTCRequestHandler(
esp32_mode=esp32_mode, host=host
)
@app.post("/api/offer")
async def offer(request: SmallWebRTCRequest, background_tasks: BackgroundTasks):
"""Handle WebRTC offer requests via SmallWebRTCRequestHandler."""
# Prepare runner arguments with the callback to run your bot
async def webrtc_connection_callback(connection):
bot_module = _get_bot_module()
runner_args = SmallWebRTCRunnerArguments(
webrtc_connection=connection, body=request.request_data
)
background_tasks.add_task(bot_module.bot, runner_args)
# Delegate handling to SmallWebRTCRequestHandler
answer = await small_webrtc_handler.handle_web_request(
request=request,
webrtc_connection_callback=webrtc_connection_callback,
)
return answer
@app.patch("/api/offer")
async def ice_candidate(request: SmallWebRTCPatchRequest):
"""Handle WebRTC new ice candidate requests."""
logger.debug(f"Received patch request: {request}")
await small_webrtc_handler.handle_patch_request(request)
return {"status": "success"}
@app.post("/start")
async def rtvi_start(request: Request):
"""Mimic Pipecat Cloud's /start endpoint."""
# Parse the request body
try:
request_data = await request.json()
logger.debug(f"Received request: {request_data}")
except Exception as e:
logger.error(f"Failed to parse request body: {e}")
request_data = {}
# Store session info immediately in memory, replicate the behavior expected on Pipecat Cloud
session_id = str(uuid.uuid4())
active_sessions[session_id] = request_data
result: StartBotResult = {"sessionId": session_id}
if request_data.get("enableDefaultIceServers"):
result["iceConfig"] = IceConfig(
iceServers=[IceServer(urls="stun:stun.l.google.com:19302")]
)
return result
@app.api_route(
"/sessions/{session_id}/{path:path}",
methods=["GET", "POST", "PUT", "PATCH", "DELETE"],
)
async def proxy_request(
session_id: str, path: str, request: Request, background_tasks: BackgroundTasks
):
"""Mimic Pipecat Cloud's proxy."""
active_session = active_sessions.get(session_id)
if active_session is None:
return Response(content="Invalid or not-yet-ready session_id", status_code=404)
if path.endswith("api/offer"):
# Parse the request body and convert to SmallWebRTCRequest
try:
request_data = await request.json()
if request.method == HTTPMethod.POST.value:
webrtc_request = SmallWebRTCRequest(
sdp=request_data["sdp"],
type=request_data["type"],
pc_id=request_data.get("pc_id"),
restart_pc=request_data.get("restart_pc"),
request_data=request_data.get("request_data")
or request_data.get("requestData"),
)
return await offer(webrtc_request, background_tasks)
elif request.method == HTTPMethod.PATCH.value:
patch_request = SmallWebRTCPatchRequest(
pc_id=request_data["pc_id"],
candidates=[IceCandidate(**c) for c in request_data.get("candidates", [])],
)
return await ice_candidate(patch_request)
except Exception as e:
logger.error(f"Failed to parse WebRTC request: {e}")
return Response(content="Invalid WebRTC request", status_code=400)
logger.info(f"Received request for path: {path}")
return Response(status_code=200)
@asynccontextmanager
async def smallwebrtc_lifespan(app: FastAPI):
"""Manage FastAPI application lifecycle and cleanup connections."""
yield
await small_webrtc_handler.close()
# Add the SmallWebRTC lifespan to the app
_add_lifespan_to_app(app, smallwebrtc_lifespan)
def _add_lifespan_to_app(app: FastAPI, new_lifespan):
"""Add a new lifespan context manager to the app, combining with existing if present.
Args:
app: The FastAPI application instance
new_lifespan: The new lifespan context manager to add
"""
if hasattr(app.router, "lifespan_context") and app.router.lifespan_context is not None:
# If there's already a lifespan context, combine them
existing_lifespan = app.router.lifespan_context
@asynccontextmanager
async def combined_lifespan(app: FastAPI):
async with existing_lifespan(app):
async with new_lifespan(app):
yield
app.router.lifespan_context = combined_lifespan
else:
# No existing lifespan, use the new one
app.router.lifespan_context = new_lifespan
def _setup_whatsapp_routes(app: FastAPI):
"""Set up WebRTC-specific routes."""
WHATSAPP_APP_SECRET = os.getenv("WHATSAPP_APP_SECRET")
WHATSAPP_PHONE_NUMBER_ID = os.getenv("WHATSAPP_PHONE_NUMBER_ID")
WHATSAPP_TOKEN = os.getenv("WHATSAPP_TOKEN")
WHATSAPP_WEBHOOK_VERIFICATION_TOKEN = os.getenv("WHATSAPP_WEBHOOK_VERIFICATION_TOKEN")
if not all(
[
WHATSAPP_APP_SECRET,
WHATSAPP_PHONE_NUMBER_ID,
WHATSAPP_TOKEN,
WHATSAPP_WEBHOOK_VERIFICATION_TOKEN,
]
):
logger.error(
"""Missing required environment variables for WhatsApp transport:
WHATSAPP_APP_SECRET
WHATSAPP_PHONE_NUMBER_ID
WHATSAPP_TOKEN
WHATSAPP_WEBHOOK_VERIFICATION_TOKEN
"""
)
return
try:
from pipecat_ai_small_webrtc_prebuilt.frontend import SmallWebRTCPrebuiltUI
from pipecat.transports.smallwebrtc.connection import SmallWebRTCConnection
from pipecat.transports.smallwebrtc.request_handler import (
SmallWebRTCRequest,
SmallWebRTCRequestHandler,
)
from pipecat.transports.whatsapp.api import WhatsAppWebhookRequest
from pipecat.transports.whatsapp.client import WhatsAppClient
except ImportError as e:
logger.error(f"WhatsApp transport dependencies not installed: {e}")
return
# Global WhatsApp client instance
whatsapp_client: Optional[WhatsAppClient] = None
@app.get(
"/whatsapp",
summary="Verify WhatsApp webhook",
description="Handles WhatsApp webhook verification requests from Meta",
)
async def verify_webhook(request: Request):
"""Verify WhatsApp webhook endpoint.
This endpoint is called by Meta's WhatsApp Business API to verify
the webhook URL during setup. It validates the verification token
and returns the challenge parameter if successful.
"""
if whatsapp_client is None:
logger.error("WhatsApp client is not initialized")
raise HTTPException(status_code=503, detail="Service unavailable")
params = dict(request.query_params)
logger.debug(f"Webhook verification request received with params: {list(params.keys())}")
try:
result = await whatsapp_client.handle_verify_webhook_request(
params=params, expected_verification_token=WHATSAPP_WEBHOOK_VERIFICATION_TOKEN
)
logger.info("Webhook verification successful")
return result
except ValueError as e:
logger.warning(f"Webhook verification failed: {e}")
raise HTTPException(status_code=403, detail="Verification failed")
@app.post(
"/whatsapp",
summary="Handle WhatsApp webhook events",
description="Processes incoming WhatsApp messages and call events",
)
async def whatsapp_webhook(
body: WhatsAppWebhookRequest,
background_tasks: BackgroundTasks,
request: Request,
x_hub_signature_256: str = Header(None),
):
"""Handle incoming WhatsApp webhook events.
For call events, establishes WebRTC connections and spawns bot instances
in the background to handle real-time communication.
"""
if whatsapp_client is None:
logger.error("WhatsApp client is not initialized")
raise HTTPException(status_code=503, detail="Service unavailable")
# Validate webhook object type
if body.object != "whatsapp_business_account":
logger.warning(f"Invalid webhook object type: {body.object}")
raise HTTPException(status_code=400, detail="Invalid object type")
logger.debug(f"Processing WhatsApp webhook: {body.model_dump()}")
async def connection_callback(connection: SmallWebRTCConnection):
"""Handle new WebRTC connections from WhatsApp calls.
Called when a WebRTC connection is established for a WhatsApp call.
Spawns a bot instance to handle the conversation.
Args:
connection: The established WebRTC connection
"""
bot_module = _get_bot_module()
runner_args = SmallWebRTCRunnerArguments(webrtc_connection=connection)
background_tasks.add_task(bot_module.bot, runner_args)
try:
# Process the webhook request
raw_body = await request.body()
result = await whatsapp_client.handle_webhook_request(
body, connection_callback, sha256_signature=x_hub_signature_256, raw_body=raw_body
)
logger.debug(f"Webhook processed successfully: {result}")
return {"status": "success", "message": "Webhook processed successfully"}
except ValueError as ve:
logger.warning(f"Invalid webhook request format: {ve}")
raise HTTPException(status_code=400, detail=f"Invalid request: {str(ve)}")
except Exception as e:
logger.error(f"Internal error processing webhook: {e}")
raise HTTPException(status_code=500, detail="Internal server error processing webhook")
@asynccontextmanager
async def whatsapp_lifespan(app: FastAPI):
"""Manage WhatsApp client lifecycle and cleanup connections."""
nonlocal whatsapp_client
# Initialize WhatsApp client with persistent HTTP session
async with aiohttp.ClientSession() as session:
whatsapp_client = WhatsAppClient(
whatsapp_token=WHATSAPP_TOKEN,
whatsapp_secret=WHATSAPP_APP_SECRET,
phone_number_id=WHATSAPP_PHONE_NUMBER_ID,
session=session,
)
logger.info("WhatsApp client initialized successfully")
try:
yield # Run the application
finally:
# Cleanup all active calls on shutdown
logger.info("Cleaning up WhatsApp client resources...")
if whatsapp_client:
await whatsapp_client.terminate_all_calls()
logger.info("WhatsApp cleanup completed")
# Add the WhatsApp lifespan to the app
_add_lifespan_to_app(app, whatsapp_lifespan)
def _setup_daily_routes(app: FastAPI):
"""Set up Daily-specific routes."""
@app.get("/")
async def create_room_and_start_agent():
"""Launch a Daily bot and redirect to room."""
print("Starting bot with Daily transport and redirecting to Daily room")
import aiohttp
from pipecat.runner.daily import configure
async with aiohttp.ClientSession() as session:
room_url, token = await configure(session)
# Start the bot in the background with empty body for GET requests
bot_module = _get_bot_module()
runner_args = DailyRunnerArguments(room_url=room_url, token=token)
asyncio.create_task(bot_module.bot(runner_args))
return RedirectResponse(room_url)
@app.post("/start")
async def start_agent(request: Request):
"""Handler for /start endpoints.
Expects POST body like::
{
"createDailyRoom": true,
"dailyRoomProperties": { "start_video_off": true },
"dailyMeetingTokenProperties": { "is_owner": true, "user_name": "Bot" },
"body": { "custom_data": "value" }
}
"""
print("Starting bot with Daily transport")
# Parse the request body
try:
request_data = await request.json()
logger.debug(f"Received request: {request_data}")
except Exception as e:
logger.error(f"Failed to parse request body: {e}")
request_data = {}
create_daily_room = request_data.get("createDailyRoom", False)
body = request_data.get("body", {})
daily_room_properties_dict = request_data.get("dailyRoomProperties", None)
daily_token_properties_dict = request_data.get("dailyMeetingTokenProperties", None)
bot_module = _get_bot_module()
existing_room_url = os.getenv("DAILY_SAMPLE_ROOM_URL")
result = None
# Configure room if:
# 1. Explicitly requested via createDailyRoom in payload
# 2. Using pre-configured room from DAILY_SAMPLE_ROOM_URL env var
if create_daily_room or existing_room_url:
import aiohttp
from pipecat.runner.daily import configure
from pipecat.transports.daily.utils import (
DailyMeetingTokenProperties,
DailyRoomProperties,
)
async with aiohttp.ClientSession() as session:
# Parse dailyRoomProperties if provided
room_properties = None
if daily_room_properties_dict:
try:
room_properties = DailyRoomProperties(**daily_room_properties_dict)
logger.debug(f"Using custom room properties: {room_properties}")
except Exception as e:
logger.error(f"Failed to parse dailyRoomProperties: {e}")
# Continue without custom properties
# Parse dailyMeetingTokenProperties if provided
token_properties = None
if daily_token_properties_dict:
try:
token_properties = DailyMeetingTokenProperties(
**daily_token_properties_dict
)
logger.debug(f"Using custom token properties: {token_properties}")
except Exception as e:
logger.error(f"Failed to parse dailyMeetingTokenProperties: {e}")
# Continue without custom properties
room_url, token = await configure(
session, room_properties=room_properties, token_properties=token_properties
)
runner_args = DailyRunnerArguments(room_url=room_url, token=token, body=body)
result = {
"dailyRoom": room_url,
"dailyToken": token,
"sessionId": str(uuid.uuid4()),
}
else:
runner_args = RunnerArguments(body=body)
# Start the bot in the background
asyncio.create_task(bot_module.bot(runner_args))
return result
def _setup_telephony_routes(app: FastAPI, *, transport_type: str, proxy: str):
"""Set up telephony-specific routes."""
# XML response templates (Exotel doesn't use XML webhooks)
XML_TEMPLATES = {
"twilio": f"""<?xml version="1.0" encoding="UTF-8"?>
<Response>
<Connect>
<Stream url="wss://{proxy}/ws"></Stream>
</Connect>
<Pause length="40"/>
</Response>""",
"telnyx": f"""<?xml version="1.0" encoding="UTF-8"?>
<Response>
<Connect>
<Stream url="wss://{proxy}/ws" bidirectionalMode="rtp"></Stream>
</Connect>
<Pause length="40"/>
</Response>""",
"plivo": f"""<?xml version="1.0" encoding="UTF-8"?>
<Response>
<Stream bidirectional="true" keepCallAlive="true" contentType="audio/x-mulaw;rate=8000">wss://{proxy}/ws</Stream>
</Response>""",
}
@app.post("/")
async def start_call():
"""Handle telephony webhook and return XML response."""
if transport_type == "exotel":
# Exotel doesn't use POST webhooks - redirect to proper documentation
logger.debug("POST Exotel endpoint - not used")
return {
"error": "Exotel doesn't use POST webhooks",
"websocket_url": f"wss://{proxy}/ws",
"note": "Configure the WebSocket URL above in your Exotel App Bazaar Voicebot Applet",
}
else:
logger.debug(f"POST {transport_type.upper()} XML")
xml_content = XML_TEMPLATES.get(transport_type, "<Response></Response>")
return HTMLResponse(content=xml_content, media_type="application/xml")
@app.websocket("/ws")
async def websocket_endpoint(websocket: WebSocket):
"""Handle WebSocket connections for telephony."""
await websocket.accept()
logger.debug("WebSocket connection accepted")
await _run_telephony_bot(websocket)
@app.get("/")
async def start_agent():
"""Simple status endpoint for telephony transports."""
return {"status": f"Bot started with {transport_type}"}
async def _run_daily_direct():
"""Run Daily bot with direct connection (no FastAPI server)."""
try:
from pipecat.runner.daily import configure
except ImportError as e:
logger.error("Daily transport dependencies not installed.")
return
logger.info("Running with direct Daily connection...")
async with aiohttp.ClientSession() as session:
room_url, token = await configure(session)
# Direct connections have no request body, so use empty dict
runner_args = DailyRunnerArguments(room_url=room_url, token=token)
runner_args.handle_sigint = True
# Get the bot module and run it directly
bot_module = _get_bot_module()
print(f"📞 Joining Daily room: {room_url}")
print(" (Direct connection - no web server needed)")
print()
await bot_module.bot(runner_args)
def _validate_and_clean_proxy(proxy: str) -> str:
"""Validate and clean proxy hostname, removing protocol if present."""
if not proxy:
return proxy
original_proxy = proxy
# Strip common protocols
if proxy.startswith(("http://", "https://")):
proxy = proxy.split("://", 1)[1]
logger.warning(
f"Removed protocol from proxy URL. Using '{proxy}' instead of '{original_proxy}'. "
f"The --proxy argument expects only the hostname (e.g., 'mybot.ngrok.io')."
)
# Remove trailing slashes
proxy = proxy.rstrip("/")
return proxy
def runner_downloads_folder() -> Optional[str]:
"""Returns the folder where files are stored for later download."""
return RUNNER_DOWNLOADS_FOLDER
def runner_host() -> str:
"""Returns the host name of this runner."""
return RUNNER_HOST
def runner_port() -> int:
"""Returns the port of this runner."""
return RUNNER_PORT
def main():
"""Start the Pipecat development runner.
Parses command-line arguments and starts a FastAPI server configured
for the specified transport type. The runner will discover and run
any bot() function found in the current directory.
Command-line arguments:
Args:
--host: Server host address (default: localhost)
--port: Server port (default: 7860)
-t/--transport: Transport type (daily, webrtc, twilio, telnyx, plivo, exotel)
-x/--proxy: Public proxy hostname for telephony webhooks
--esp32: Enable SDP munging for ESP32 compatibility (requires --host with IP address)
-d/--direct: Connect directly to Daily room (automatically sets transport to daily)
-v/--verbose: Increase logging verbosity
The bot file must contain a `bot(runner_args)` function as the entry point.
"""
global RUNNER_DOWNLOADS_FOLDER, RUNNER_HOST, RUNNER_PORT
parser = argparse.ArgumentParser(description="Pipecat Development Runner")
parser.add_argument("--host", type=str, default=RUNNER_HOST, help="Host address")
parser.add_argument("--port", type=int, default=RUNNER_PORT, help="Port number")
parser.add_argument(
"-t",
"--transport",
type=str,
choices=["daily", "webrtc", *TELEPHONY_TRANSPORTS],
default="webrtc",
help="Transport type",
)
parser.add_argument("--proxy", "-x", help="Public proxy host name")
parser.add_argument(
"--esp32",
action="store_true",
default=False,
help="Enable SDP munging for ESP32 compatibility (requires --host with IP address)",
)
parser.add_argument(
"-d",
"--direct",
action="store_true",
default=False,
help="Connect directly to Daily room (automatically sets transport to daily)",
)
parser.add_argument("-f", "--folder", type=str, help="Path to downloads folder")
parser.add_argument(
"--verbose", "-v", action="count", default=0, help="Increase logging verbosity"
)
parser.add_argument(
"--whatsapp",
action="store_true",
default=False,
help="Ensure requried WhatsApp environment variables are present",
)
args = parser.parse_args()
# Validate and clean proxy hostname
if args.proxy:
args.proxy = _validate_and_clean_proxy(args.proxy)
# Auto-set transport to daily if --direct is used without explicit transport
if args.direct and args.transport == "webrtc": # webrtc is the default
args.transport = "daily"
elif args.direct and args.transport != "daily":
logger.error("--direct flag only works with Daily transport (-t daily)")
return
# Validate ESP32 requirements
if args.esp32 and args.host == "localhost":
logger.error("For ESP32, you need to specify `--host IP` so we can do SDP munging.")
return
# Log level
logger.remove()
logger.add(sys.stderr, level="TRACE" if args.verbose else "DEBUG")
# Handle direct Daily connection (no FastAPI server)
if args.direct:
print()
print("🚀 Connecting directly to Daily room...")
print()
# Run direct Daily connection
asyncio.run(_run_daily_direct())
return
# Print startup message for server-based transports
if args.transport == "webrtc":
print()
if args.esp32:
print(f"🚀 Bot ready! (ESP32 mode)")
elif args.whatsapp:
print(f"🚀 Bot ready! (WhatsApp)")
else:
print(f"🚀 Bot ready!")
print(f" → Open http://{args.host}:{args.port}/client in your browser")
print()
elif args.transport == "daily":
print()
print(f"🚀 Bot ready!")
print(f" → Open http://{args.host}:{args.port} in your browser to start a session")
print()
RUNNER_DOWNLOADS_FOLDER = args.folder
RUNNER_HOST = args.host
RUNNER_PORT = args.port
# Create the app with transport-specific setup
app = _create_server_app(
transport_type=args.transport,
host=args.host,
proxy=args.proxy,
esp32_mode=args.esp32,
whatsapp_enabled=args.whatsapp,
folder=args.folder,
)
# Run the server
uvicorn.run(app, host=args.host, port=args.port)
if __name__ == "__main__":
main()