​
Overview

TwilioFrameSerializer enables integration with Twilio’s Media Streams WebSocket protocol, allowing your Pipecat application to handle phone calls via Twilio’s voice services.

​
Features

  • Bidirectional audio conversion between Pipecat and Twilio
  • DTMF (touch-tone) event handling
  • Automatic call termination via Twilio’s REST API
  • μ-law audio encoding/decoding

​
Installation

The TwilioFrameSerializer does not require any additional dependencies beyond the core Pipecat library.

​
Configuration

​
Constructor Parameters

​
stream_sid
str
required

The Twilio Media Stream SID

​
call_sid
Optional[str]
default:"None"

The associated Twilio Call SID (required for auto hang-up)

​
account_sid
Optional[str]
default:"None"

Twilio account SID (required for auto hang-up)

​
auth_token
Optional[str]
default:"None"

Twilio auth token (required for auto hang-up)

​
params
InputParams
default:"InputParams()"

Configuration parameters

​
InputParams Configuration

​
twilio_sample_rate
int
default:"8000"

Sample rate used by Twilio (typically 8kHz)

​
sample_rate
int | None
default:"None"

Optional override for pipeline input sample rate

​
auto_hang_up
bool
default:"True"

Whether to automatically terminate call on EndFrame

​
Basic Usage

from pipecat.serializers.twilio import TwilioFrameSerializer
from pipecat.transports.network.fastapi_websocket import (
    FastAPIWebsocketTransport,
    FastAPIWebsocketParams
)

# Extract required values from Twilio WebSocket connection
stream_sid = call_data["start"]["streamSid"]
call_sid = call_data["start"]["callSid"]

# Create serializer
serializer = TwilioFrameSerializer(
    stream_sid=stream_sid,
    call_sid=call_sid,
    account_sid="your_twilio_account_sid",
    auth_token="your_twilio_auth_token"
)

# Use with FastAPIWebsocketTransport
transport = FastAPIWebsocketTransport(
    websocket=websocket,
    params=FastAPIWebsocketParams(
        audio_in_enabled=True,
        audio_out_enabled=True,
        vad_analyzer=SileroVADAnalyzer(),
        serializer=serializer,
    )
)

​
Hang-up Functionality

When auto_hang_up is enabled, the serializer will automatically hang up the Twilio call when an EndFrame or CancelFrame is processed, using Twilio’s REST API:

# Properly configured with hang-up support
serializer = TwilioFrameSerializer(
    stream_sid=stream_sid,
    call_sid=call_sid,              # Required for auto hang-up
    account_sid=os.getenv("TWILIO_ACCOUNT_SID"),  # Required for auto hang-up
    auth_token=os.getenv("TWILIO_AUTH_TOKEN"),    # Required for auto hang-up
)

​
Server Code Example

Here’s a complete example of handling a Twilio WebSocket connection:

from fastapi import FastAPI, WebSocket
from pipecat.serializers.twilio import TwilioFrameSerializer
import json
import os

app = FastAPI()

@app.websocket("/ws")
async def websocket_endpoint(websocket: WebSocket):
    await websocket.accept()

    # Read initial messages from Twilio
    start_data = websocket.iter_text()
    await start_data.__anext__()  # Skip first message

    # Parse the second message to get call details
    call_data = json.loads(await start_data.__anext__())

    # Extract Twilio-specific IDs
    stream_sid = call_data["start"]["streamSid"]
    call_sid = call_data["start"]["callSid"]

    # Create serializer with authentication for auto hang-up
    serializer = TwilioFrameSerializer(
        stream_sid=stream_sid,
        call_sid=call_sid,
        account_sid=os.getenv("TWILIO_ACCOUNT_SID"),
        auth_token=os.getenv("TWILIO_AUTH_TOKEN"),
    )

    # Continue with transport and pipeline setup...

See the Twilio Chatbot example for a complete implementation.