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Overview

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

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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

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Installation

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

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Configuration

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Constructor Parameters

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stream_sid
str
required
The Twilio Media Stream SID
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call_sid
Optional[str]
default:"None"
The associated Twilio Call SID (required for auto hang-up)
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account_sid
Optional[str]
default:"None"
Twilio account SID (required for auto hang-up)
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auth_token
Optional[str]
default:"None"
Twilio auth token (required for auto hang-up)
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params
InputParams
default:"InputParams()"
Configuration parameters

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InputParams Configuration

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twilio_sample_rate
int
default:"8000"
Sample rate used by Twilio (typically 8kHz)
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sample_rate
int | None
default:"None"
Optional override for pipeline input sample rate
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auto_hang_up
bool
default:"True"
Whether to automatically terminate call on EndFrame

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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,
    )
)

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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
)

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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.