Twilio Migration

Stop Reconstructing Call State From Webhooks.

Twilio webhooks are stateless. You rebuild context on every request. SignalWire is Twilio-compatible at the API level, and the native interfaces eliminate webhook state management entirely.

$0.16
per minute, AI processing
< 1.2s
typical AI response latency
2,000+
companies in production
2.7B
minutes and messages annually
Try it now

Talk it through with Sigmond

Sigmond is a voice AI agent running on the SignalWire infrastructure this page is about. Ask him about anything you just read.

The Webhook Problem

Race Conditions Are Not Bugs. They Are Architecture.

Zombie Calls

A hangup webhook arrives after a transfer command. The call is live with no tracking. Your state store says the call ended. The caller is still on the line.

Double Updates

Two concurrent webhooks for the same call read state, both mutate it, and the last write wins. The other mutation is silently lost.

Phantom Transfers

The transfer target answers during a network partition. Your state store still shows "ringing." The caller is talking to someone your system does not know about.

Stale Responses

The caller interrupts while the LLM generates. The old response plays anyway because the cancellation signal traveled a different path than the audio.

Webhook State Reconstruction vs. Platform-Native State

Twilio (Webhook State Reconstruction)

  • Every webhook is stateless; reconstruct context from scratch
  • Maintain a parallel state store (Redis, database) that shadows the call
  • Race conditions are structural: two webhooks arrive, both mutate state
  • Zombie calls, double updates, phantom transfers under load
  • The canonical state lives in your application

SignalWire (Platform-Native State)

  • The platform is the system of record for every interaction
  • Call state and conversation context live in the platform
  • Events processed sequentially within the call's context
  • No concurrent mutations, no state desync
  • Your tool handlers receive authoritative context

Build a Voice AI Agent

from signalwire_agents import AgentBase
from signalwire_agents.core.function_result import SwaigFunctionResult

class SupportAgent(AgentBase):
    def __init__(self):
        super().__init__(name="Support Agent", route="/support")
        self.prompt_add_section("Instructions",
            body="You are a customer support agent. "
                 "Greet the caller and resolve their issue.")
        self.add_language("English", "en-US", "rime.spore:mistv2")

    @AgentBase.tool(name="check_order")
    def check_order(self, order_id: str):
        """Check the status of a customer order.

        Args:
            order_id: The order ID to look up
        """
        return SwaigFunctionResult(f"Order {order_id}: shipped, ETA April 2nd")

agent = SupportAgent()
agent.run()

Migration Path

1

Drop-in compatibility

Start with Twilio-compatible REST APIs for call management, number provisioning, SIP trunking, and webhook endpoints. Your existing code works on day one.

2

Port your numbers

Transfer phone numbers from Twilio. The process is standard number porting. No downtime required.

3

Convert call flows

Replace TwiML with declarative YAML. Replace webhook state management with platform-native state. Each conversion eliminates a category of race conditions.

4

Adopt function calling

Replace webhook chains with tool calling. Your backend handles business logic. The platform handles conversation flow, state, and orchestration.

5

Enable built-in AI

Use the platform's integrated STT, LLM, and TTS. No third-party AI vendor integrations, no separate billing relationships.

6

Add governance

Enable scoped prompts per step, constrained tool access, and enforced state machine transitions. Production safety without prompt-level guardrails.

What Changes, What Stays

What ChangesWhat Stays
State management (platform-native)Your backend and business logic
AI orchestration (built-in)Your API endpoints
Webhook chains (eliminated)Your phone numbers (port them)
Multi-vendor coordination (eliminated)Your deployment infrastructure
Log correlation (unified)Your monitoring and alerting

Cost Comparison

ComponentTwilio + VendorsSignalWire
Voice (per minute)$0.013-0.022Included
STT$0.006-0.015 per 15sIncluded
LLMVariable (per token)Included
TTS$0.015-0.030 per 1K charsIncluded
Total per AI minute$0.15-0.40+$0.16 flat
One Invoice, Predictable Costs One flat rate per minute. No token variance. No per-component surprise bills. No annual minimums required to get started. Volume discounts when your application is ready.

FAQ

How compatible is SignalWire with Twilio's API?

SignalWire provides Twilio-compatible REST APIs for call management, number provisioning, SIP trunking, and webhook endpoints. Existing Twilio code can run with minimal changes. The native interfaces go further.

Can I migrate incrementally?

Yes. Start with API compatibility, then convert individual call flows to native interfaces at your own pace. You do not need to migrate everything at once.

What happens to my phone numbers?

Standard number porting from Twilio. No downtime required. Your numbers transfer to SignalWire and work with both the compatibility layer and native interfaces.

Do I still need Redis or a state store?

Not for call state. The platform is the system of record. Your tool handlers receive authoritative context on every invocation. If you use Redis for business-level state (inventory, user profiles), that stays the same.

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Migrate From Webhooks to a Real Control Plane

Start with Twilio-compatible APIs. Graduate to platform-native capabilities at your own pace.

About SignalWire

SignalWire is a communications infrastructure platform. Voice, video, messaging, conferencing, queuing, recording, and AI all run on the same real-time voice and video substrate.

AI is one capability among many, not the whole business. Customers compose multiple services on a single carrier-billed call; margin expands as the service mix shifts toward higher-margin capabilities stacked on top of the transport layer.

The platform was built by the team that created FreeSWITCH. It processes 2.7 billion minutes and messages annually and is in production at 2,000+ companies, including Apple, Sprinklr, Deutsche Telekom, and T-Mobile.

Read the docs