Add dialout to the Daily phone example (#998)

* added dialout to daily phone example

* cleanup

* cleanup

* pre-commit hook

* Fix typo

* More explicit README instructions

---------

Co-authored-by: Mark Backman <mark@daily.co>
This commit is contained in:
chadbailey59
2025-01-27 12:21:30 -06:00
committed by GitHub
parent 86c1e6a3bd
commit 179ddbea7d
13 changed files with 212 additions and 108 deletions

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**/.DS_Store
.env
.env.*

165
examples/phone-chatbot/.gitignore vendored Normal file
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FROM python:3.11-bullseye
ARG DEBIAN_FRONTEND=noninteractive
ARG USE_PERSISTENT_DATA
ENV PYTHONUNBUFFERED=1
# Expose FastAPI port
ENV FAST_API_PORT=7860
EXPOSE 7860
# Install system dependencies
RUN apt-get update && apt-get install --no-install-recommends -y \
build-essential \
git \
ffmpeg \
google-perftools \
ca-certificates curl gnupg \
&& apt-get clean && rm -rf /var/lib/apt/lists/*
# Set up a new user named "user" with user ID 1000
RUN useradd -m -u 1000 user
# Set home to the user's home directory
ENV HOME=/home/user \
PATH=/home/user/.local/bin:$PATH \
PYTHONPATH=$HOME/app \
PYTHONUNBUFFERED=1
# Switch to the "user" user
USER user
# Set the working directory to the user's home directory
WORKDIR $HOME/app
# Install Python dependencies
COPY *.py .
COPY ./requirements.txt requirements.txt
RUN pip3 install --no-cache-dir --upgrade -r requirements.txt
# Start the FastAPI server
CMD python3 bot_runner.py --host "0.0.0.0" --port ${FAST_API_PORT}

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<div align="center">
 <img alt="pipecat" width="300px" height="auto" src="image.png">
</div>
# Phone Chatbot
Example project that demonstrates how to add phone funtionality to your Pipecat bots. We include examples for Daily (`bot_daily.py`) dial-in and dial-out, and Twilio (`bot_twilio.py`) dial-in, depending on who you want to use as a phone vendor.
- 🔁 Transport: Daily WebRTC
- 💬 Speech-to-Text: Deepgram via Daily transport
- 🤖 LLM: GPT4-o / OpenAI
- 🔉 Text-to-Speech: ElevenLabs
#### Should I use Daily or Twilio as a vendor?
If you're starting from scratch, using Daily to provision phone numbers alongside Daily as a transport offers some convenience (such as automatic call forwarding.)
If you already have Twilio numbers and workflows that you want to connect to your Pipecat bots, there is some additional configuration required (you'll need to create a `on_dialin_ready` and use the Twilio client to trigger the forward.)
You can read more about this, as well as see respective walkthroughs in our docs.
## Setup
1. Create and activate a virtual environment:
```shell
python3 -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
```
2. Install requirements:
```shell
pip install -r requirements.txt
```
3. Copy env.example to .env and configure:
```shell
cp env.example .env
```
4. Install [ngrok](https://ngrok.com/) so your local server can receive requests from Daily's servers.
## Using Daily numbers
### Running the example
To run either the dial-in or dial-out example, follow these steps to get started:
1. Run `bot_runner.py` to handle incoming HTTP requests:
```shell
python bot_runner.py --host localhost
```
2. Start ngrok running in a terminal window:
```shell
ngrok http --domain yourdomain.ngrok.app 8000
```
3. In a different terminal window, run the Daily bot file:
```shell
python bot_daily.py
```
### Dial-in
To dial-in to the bot, you will need to enable dial-in for your Daily domain. Follow [this guide](https://docs.daily.co/guides/products/dial-in-dial-out/dialin-pinless#provisioning-sip-interconnect-and-pinless-dialin-workflow) to set up your domain.
Note: For the `room_creation_api` property, point at your ngrok hostname: `"room_creation_api": "https://yourdomain.ngrok.app/daily_start_bot"`.
Once your domain is configured, receiving a phone call at a number associated with your Daily account will result in a POST to the `/daily_start_bot` endpoint, which will start a bot session.
### Dial-out
For the bot to dial out to a number, make a POST request to `/daily_start_bot` and include the dial-out phone number in the body of the request as `dialoutNumber`.
For example:
```shell
url -X "POST" "http://localhost:7860/daily_start_bot" \
-H 'Content-Type: application/json; charset=utf-8' \
-d $'{
"dialoutNumber": "+12125551234"
}'
```
### More information
For more configuration options, please consult [Daily's API documentation](https://docs.daily.co).
## Using Twilio numbers
### Running the example
Follow these steps to get started:
1. Run `bot_runner.py` to handle incoming HTTP requests:
```shell
python bot_runner.py --host localhost
```
2. Start ngrok running in a terminal window:
```shell
ngrok http --domain yourdomain.ngrok.app 8000
```
3. In a different terminal window, run the Daily bot file:
```shell
python bot_twilio.py
```
As above, but target the following URL:
`POST /twilio_start_bot`
For more configuration options, please consult Twilio's API documentation.
## Deployment example
A Dockerfile is included in this demo for convenience. Here is an example of how to build and deploy your bot to [fly.io](https://fly.io).
_Please note: This demo spawns agents as subprocesses for convenience / demonstration purposes. You would likely not want to do this in production as it would limit concurrency to available system resources. For more information on how to deploy your bots using VMs, refer to the Pipecat documentation._
### Build the docker image
`docker build -t tag:project .`
### Launch the fly project
`mv fly.example.toml fly.toml`
`fly launch` (using the included fly.toml)
### Setup your secrets on Fly
Set the necessary secrets (found in `env.example`)
`fly secrets set DAILY_API_KEY=... OPENAI_API_KEY=... ELEVENLABS_API_KEY=... ELEVENLABS_VOICE_ID=...`
If you're using Twilio as a number vendor:
`fly secrets set TWILIO_ACCOUNT_SID=... TWILIO_AUTH_TOKEN=...`
### Deploy!
`fly deploy`
## Need to do something more advanced?
This demo covers the basics of bot telephony. If you want to know more about working with PSTN / SIP, please ping us on [Discord](https://discord.gg/pipecat)!

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import argparse
import asyncio
import os
import sys
from dotenv import load_dotenv
from loguru import logger
from pipecat.audio.vad.silero import SileroVADAnalyzer
from pipecat.frames.frames import EndFrame
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.services.elevenlabs import ElevenLabsTTSService
from pipecat.services.openai import OpenAILLMService
from pipecat.transports.services.daily import DailyDialinSettings, DailyParams, DailyTransport
load_dotenv(override=True)
logger.remove(0)
logger.add(sys.stderr, level="DEBUG")
daily_api_key = os.getenv("DAILY_API_KEY", "")
daily_api_url = os.getenv("DAILY_API_URL", "https://api.daily.co/v1")
async def main(room_url: str, token: str, callId: str, callDomain: str, dialout_number: str | None):
# dialin_settings are only needed if Daily's SIP URI is used
# If you are handling this via Twilio, Telnyx, set this to None
# and handle call-forwarding when on_dialin_ready fires.
dialin_settings = DailyDialinSettings(call_id=callId, call_domain=callDomain)
transport = DailyTransport(
room_url,
token,
"Chatbot",
DailyParams(
api_url=daily_api_url,
api_key=daily_api_key,
dialin_settings=dialin_settings,
audio_in_enabled=True,
audio_out_enabled=True,
camera_out_enabled=False,
vad_enabled=True,
vad_analyzer=SileroVADAnalyzer(),
transcription_enabled=True,
),
)
tts = ElevenLabsTTSService(
api_key=os.getenv("ELEVENLABS_API_KEY", ""),
voice_id=os.getenv("ELEVENLABS_VOICE_ID", ""),
)
llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-4o")
messages = [
{
"role": "system",
"content": "You are Chatbot, a friendly, helpful robot. 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, but keep your responses brief. Start by saying 'Oh, hello! I'm a friendly chatbot. How can I help you?'.",
},
]
context = OpenAILLMContext(messages)
context_aggregator = llm.create_context_aggregator(context)
pipeline = Pipeline(
[
transport.input(),
context_aggregator.user(),
llm,
tts,
transport.output(),
context_aggregator.assistant(),
]
)
task = PipelineTask(pipeline, PipelineParams(allow_interruptions=True))
if dialout_number:
logger.debug("dialout number detected; doing dialout")
# Configure some handlers for dialing out
@transport.event_handler("on_joined")
async def on_joined(transport, data):
logger.debug(f"Joined; starting dialout to: {dialout_number}")
await transport.start_dialout({"phoneNumber": dialout_number})
@transport.event_handler("on_dialout_connected")
async def on_dialout_connected(transport, data):
logger.debug(f"Dial-out connected: {data}")
@transport.event_handler("on_dialout_answered")
async def on_dialout_answered(transport, data):
logger.debug(f"Dial-out answered: {data}")
@transport.event_handler("on_first_participant_joined")
async def on_first_participant_joined(transport, participant):
await transport.capture_participant_transcription(participant["id"])
# unlike the dialin case, for the dialout case, the caller will speak first. Presumably
# they will answer the phone and say "Hello?" Since we've captured their transcript,
# That will put a frame into the pipeline and prompt an LLM completion, which is how the
# bot will then greet the user.
else:
logger.debug("no dialout number; assuming dialin")
# Different handlers for dialin
@transport.event_handler("on_first_participant_joined")
async def on_first_participant_joined(transport, participant):
await transport.capture_participant_transcription(participant["id"])
# For the dialin case, we want the bot to answer the phone and greet the user. We
# can prompt the bot to speak by putting the context into the pipeline.
await task.queue_frames([context_aggregator.user().get_context_frame()])
@transport.event_handler("on_participant_left")
async def on_participant_left(transport, participant, reason):
await task.queue_frame(EndFrame())
runner = PipelineRunner()
await runner.run(task)
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Pipecat Simple ChatBot")
parser.add_argument("-u", type=str, help="Room URL")
parser.add_argument("-t", type=str, help="Token")
parser.add_argument("-i", type=str, help="Call ID")
parser.add_argument("-d", type=str, help="Call Domain")
parser.add_argument("-o", type=str, help="Dialout number", default=None)
config = parser.parse_args()
asyncio.run(main(config.u, config.t, config.i, config.d, config.o))

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"""
bot_runner.py
HTTP service that listens for incoming calls from either Daily or Twilio,
provisioning a room and starting a Pipecat bot in response.
Refer to README for more information.
"""
import argparse
import os
import subprocess
from contextlib import asynccontextmanager
import aiohttp
from dotenv import load_dotenv
from fastapi import FastAPI, HTTPException, Request
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import JSONResponse, PlainTextResponse
from twilio.twiml.voice_response import VoiceResponse
from pipecat.transports.services.helpers.daily_rest import (
DailyRESTHelper,
DailyRoomObject,
DailyRoomParams,
DailyRoomProperties,
DailyRoomSipParams,
)
load_dotenv(override=True)
# ------------ Configuration ------------ #
MAX_SESSION_TIME = 5 * 60 # 5 minutes
REQUIRED_ENV_VARS = ["OPENAI_API_KEY", "DAILY_API_KEY", "ELEVENLABS_API_KEY", "ELEVENLABS_VOICE_ID"]
daily_helpers = {}
# ----------------- API ----------------- #
@asynccontextmanager
async def lifespan(app: FastAPI):
aiohttp_session = aiohttp.ClientSession()
daily_helpers["rest"] = DailyRESTHelper(
daily_api_key=os.getenv("DAILY_API_KEY", ""),
daily_api_url=os.getenv("DAILY_API_URL", "https://api.daily.co/v1"),
aiohttp_session=aiohttp_session,
)
yield
await aiohttp_session.close()
app = FastAPI(lifespan=lifespan)
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
"""
Create Daily room, tell the bot if the room is created for Twilio's SIP or Daily's SIP (vendor).
When the vendor is Daily, the bot handles the call forwarding automatically,
i.e, forwards the call from the "hold music state" to the Daily Room's SIP URI.
Alternatively, when the vendor is Twilio (not Daily), the bot is responsible for
updating the state on Twilio. So when `dialin-ready` fires, it takes appropriate
action using the Twilio Client library.
"""
async def _create_daily_room(room_url, callId, callDomain=None, dialoutNumber=None, vendor="daily"):
if not room_url:
# Create base properties with SIP settings
properties = DailyRoomProperties(
sip=DailyRoomSipParams(
display_name="dialin-user", video=False, sip_mode="dial-in", num_endpoints=1
)
)
# Only enable dialout if dialoutNumber is provided
if dialoutNumber:
properties.enable_dialout = True
params = DailyRoomParams(properties=properties)
print(f"Creating new room...")
room: DailyRoomObject = await daily_helpers["rest"].create_room(params=params)
else:
# Check passed room URL exist (we assume that it already has a sip set up!)
try:
room: DailyRoomObject = await daily_helpers["rest"].get_room_from_url(room_url)
except Exception:
raise HTTPException(status_code=500, detail=f"Room not found: {room_url}")
print(f"Daily room: {room.url} {room.config.sip_endpoint}")
# Give the agent a token to join the session
token = await daily_helpers["rest"].get_token(room.url, MAX_SESSION_TIME)
if not room or not token:
raise HTTPException(status_code=500, detail=f"Failed to get room or token token")
# Spawn a new agent, and join the user session
# Note: this is mostly for demonstration purposes (refer to 'deployment' in docs)
if vendor == "daily":
bot_proc = f"python3 -m bot_daily -u {room.url} -t {token} -i {callId} -d {callDomain}"
if dialoutNumber:
bot_proc += f" -o {dialoutNumber}"
else:
bot_proc = f"python3 -m bot_twilio -u {room.url} -t {token} -i {callId} -s {room.config.sip_endpoint}"
try:
subprocess.Popen(
[bot_proc], shell=True, bufsize=1, cwd=os.path.dirname(os.path.abspath(__file__))
)
except Exception as e:
raise HTTPException(status_code=500, detail=f"Failed to start subprocess: {e}")
return room
@app.post("/twilio_start_bot", response_class=PlainTextResponse)
async def twilio_start_bot(request: Request):
print(f"POST /twilio_voice_bot")
# twilio_start_bot is invoked directly by Twilio (as a web hook).
# On Twilio, under Active Numbers, pick the phone number
# Click Configure and under Voice Configuration,
# "a call comes in" choose webhook and point the URL to
# where this code is hosted.
data = {}
try:
# shouldnt have received json, twilio sends form data
form_data = await request.form()
data = dict(form_data)
except Exception:
pass
room_url = os.getenv("DAILY_SAMPLE_ROOM_URL", None)
callId = data.get("CallSid")
if not callId:
raise HTTPException(status_code=500, detail="Missing 'CallSid' in request")
print("CallId: %s" % callId)
# create room and tell the bot to join the created room
# note: Twilio does not require a callDomain
room: DailyRoomObject = await _create_daily_room(room_url, callId, None, "twilio")
print(f"Put Twilio on hold...")
# We have the room and the SIP URI,
# but we do not know if the Daily SIP Worker and the Bot have joined the call
# put the call on hold until the 'on_dialin_ready' fires.
# Then, the bot will update the called sid with the sip uri.
# http://com.twilio.music.classical.s3.amazonaws.com/BusyStrings.mp3
resp = VoiceResponse()
resp.play(
url="http://com.twilio.sounds.music.s3.amazonaws.com/MARKOVICHAMP-Borghestral.mp3", loop=10
)
return str(resp)
@app.post("/daily_start_bot")
async def daily_start_bot(request: Request) -> JSONResponse:
# The /daily_start_bot is invoked when a call is received on Daily's SIP URI
# daily_start_bot will create the room, put the call on hold until
# the bot and sip worker are ready. Daily will automatically
# forward the call to the SIP URi when dialin_ready fires.
# Use specified room URL, or create a new one if not specified
room_url = os.getenv("DAILY_SAMPLE_ROOM_URL", None)
# Get the dial-in properties from the request
try:
data = await request.json()
if "test" in data:
# Pass through any webhook checks
return JSONResponse({"test": True})
callId = data.get("callId", None)
callDomain = data.get("callDomain", None)
dialoutNumber = data.get("dialoutNumber", None)
except Exception:
raise HTTPException(
status_code=500, detail="Missing properties 'callId', 'callDomain', or 'dialoutNumber'"
)
room: DailyRoomObject = await _create_daily_room(
room_url, callId, callDomain, dialoutNumber, "daily"
)
# Grab a token for the user to join with
return JSONResponse({"room_url": room.url, "sipUri": room.config.sip_endpoint})
# ----------------- Main ----------------- #
if __name__ == "__main__":
# Check environment variables
for env_var in REQUIRED_ENV_VARS:
if env_var not in os.environ:
raise Exception(f"Missing environment variable: {env_var}.")
parser = argparse.ArgumentParser(description="Pipecat Bot Runner")
parser.add_argument(
"--host", type=str, default=os.getenv("HOST", "0.0.0.0"), help="Host address"
)
parser.add_argument("--port", type=int, default=os.getenv("PORT", 7860), help="Port number")
parser.add_argument("--reload", action="store_true", default=True, help="Reload code on change")
config = parser.parse_args()
try:
import uvicorn
uvicorn.run("bot_runner:app", host=config.host, port=config.port, reload=config.reload)
except KeyboardInterrupt:
print("Pipecat runner shutting down...")

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import argparse
import asyncio
import os
import sys
from dotenv import load_dotenv
from loguru import logger
from twilio.rest import Client
from pipecat.audio.vad.silero import SileroVADAnalyzer
from pipecat.frames.frames import EndFrame
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.services.elevenlabs import ElevenLabsTTSService
from pipecat.services.openai import OpenAILLMService
from pipecat.transports.services.daily import DailyParams, DailyTransport
load_dotenv(override=True)
logger.remove(0)
logger.add(sys.stderr, level="DEBUG")
twilio_account_sid = os.getenv("TWILIO_ACCOUNT_SID")
twilio_auth_token = os.getenv("TWILIO_AUTH_TOKEN")
twilioclient = Client(twilio_account_sid, twilio_auth_token)
daily_api_key = os.getenv("DAILY_API_KEY", "")
async def main(room_url: str, token: str, callId: str, sipUri: str):
# dialin_settings are only needed if Daily's SIP URI is used
# If you are handling this via Twilio, Telnyx, set this to None
# and handle call-forwarding when on_dialin_ready fires.
transport = DailyTransport(
room_url,
token,
"Chatbot",
DailyParams(
api_key=daily_api_key,
dialin_settings=None, # Not required for Twilio
audio_in_enabled=True,
audio_out_enabled=True,
camera_out_enabled=False,
vad_enabled=True,
vad_analyzer=SileroVADAnalyzer(),
transcription_enabled=True,
),
)
tts = ElevenLabsTTSService(
api_key=os.getenv("ELEVENLABS_API_KEY", ""),
voice_id=os.getenv("ELEVENLABS_VOICE_ID", ""),
)
llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-4o")
messages = [
{
"role": "system",
"content": "You are Chatbot, a friendly, helpful robot. 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, but keep your responses brief. Start by saying 'Hello! Who dares dial me at this hour?!'.",
},
]
context = OpenAILLMContext(messages)
context_aggregator = llm.create_context_aggregator(context)
pipeline = Pipeline(
[
transport.input(),
context_aggregator.user(),
llm,
tts,
transport.output(),
context_aggregator.assistant(),
]
)
task = PipelineTask(pipeline, PipelineParams(allow_interruptions=True))
@transport.event_handler("on_first_participant_joined")
async def on_first_participant_joined(transport, participant):
await transport.capture_participant_transcription(participant["id"])
await task.queue_frames([context_aggregator.user().get_context_frame()])
@transport.event_handler("on_participant_left")
async def on_participant_left(transport, participant, reason):
await task.queue_frame(EndFrame())
@transport.event_handler("on_dialin_ready")
async def on_dialin_ready(transport, cdata):
# For Twilio, Telnyx, etc. You need to update the state of the call
# and forward it to the sip_uri..
print(f"Forwarding call: {callId} {sipUri}")
try:
# The TwiML is updated using Twilio's client library
call = twilioclient.calls(callId).update(
twiml=f"<Response><Dial><Sip>{sipUri}</Sip></Dial></Response>"
)
except Exception as e:
raise Exception(f"Failed to forward call: {str(e)}")
runner = PipelineRunner()
await runner.run(task)
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Pipecat Simple ChatBot")
parser.add_argument("-u", type=str, help="Room URL")
parser.add_argument("-t", type=str, help="Token")
parser.add_argument("-i", type=str, help="Call ID")
parser.add_argument("-s", type=str, help="SIP URI")
config = parser.parse_args()
asyncio.run(main(config.u, config.t, config.i, config.s))

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DAILY_SAMPLE_ROOM_URL=https://yourdomain.daily.co/yourroom # (optional: for joining the bot to the same room repeatedly for local dev)
DAILY_API_KEY=.
DAILY_API_URL=api.daily.co/v1
OPENAI_API_KEY=
ELEVENLABS_API_KEY=
ELEVENLABS_VOICE_ID=
TWILIO_ACCOUNT_SID=
TWILIO_AUTH_TOKEN=

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# fly.toml app configuration file generated for pipecat-dialin-demo on 2024-06-03T15:57:57+02:00
#
# See https://fly.io/docs/reference/configuration/ for information about how to use this file.
#
app = 'pipecat-dialin-demo'
primary_region = 'sjc'
[build]
[http_service]
internal_port = 7860
force_https = true
auto_stop_machines = true
auto_start_machines = true
min_machines_running = 1
[[vm]]
size = 'performance-1x'

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pipecat-ai[daily,elevenlabs,openai,silero]
fastapi
uvicorn
python-dotenv
twilio
python-multipart