—— LiveKit Alternative ——
Rooms Are for Video. Calls Need a Phone Company.
LiveKit handles video rooms well. When the use case is voice AI answering phone calls, the architecture needs native telephony, not a WebRTC bridge.
—— The Problem ——
A video conferencing model forced onto phone calls
Build a Voice AI Agent
The architectural difference
LiveKit (Room-Based)
SIP trunk receives call from external CPaaS
Room created dynamically for each call
Caller becomes a room participant
AI agent joins the room as another participant
Audio flows through WebRTC track subscriptions
Transfer moves participants between rooms
SignalWire (Call-Based)
Call arrives at SignalWire (the phone company)
AI agent answers the call directly
Audio flows through the native media stack
Transfer uses standard telephony primitives
State lives in the call object, not a room
One platform, one bill, no external CPaaS
Platform comparison
Capability
LiveKit
SignalWire
Call abstraction
Room with participants
First-class call object
State management
Manual (closed as 'Not Planned')
Built-in shared data layer
Media transport
SIP-to-WebRTC bridge
Native SIP/PSTN, no bridge
Pricing model
LiveKit + CPaaS provider
One platform, one bill
Agent SDK
8+ coordinated packages
pip install signalwire-agents
Who should consider switching
Migrate from LiveKit in four steps
1
Install the SDK
pip install signalwire-agents. One package replaces eight LiveKit packages plus a CPaaS provider.
2
Define your agent
Inherit AgentBase, set prompts, add tools with Python decorators or YAML. Under 20 lines for a production agent.
3
Configure your numbers
Port existing numbers or provision new ones. Global coverage, inbound and outbound, from a single platform.
4
Route incrementally
Point specific numbers at SignalWire agents while keeping other traffic on existing infrastructure. No all-or-nothing migration.
When LiveKit is the right choice
Multi-party video sessions, browser-first WebRTC applications, and use cases where the rooms model is the right abstraction. This page is about voice AI on phone calls, where the requirements are different.
Frequently Asked Questions
FAQ
Do I need to rewrite my agent logic?
Agent logic (prompts, tools, business rules) translates directly. The SignalWire SDK uses Python decorators and YAML definitions. The platform handles telephony, not your code.
Can I keep using my STT and TTS providers?
Yes. STT, TTS, and LLM providers are configured at the platform level. Bring your own API keys or use SignalWire's integrated providers.
What about latency compared to LiveKit?
SignalWire's typical AI response latency is 800-1200ms with no bridge overhead, as low as 600ms with speech-to-speech voice models. LiveKit adds 1 to 2.5 seconds from the SIP-to-WebRTC bridge, per developer reports.
Is SignalWire open source?
The Python agents SDK is open source on GitHub. The platform itself is commercial infrastructure built on FreeSWITCH, which the SignalWire team created.
What does it cost?
Voice AI at $0.16 per minute, flat rate. One bill from one vendor. No separate CPaaS charges, no hidden markup chain.
Try it now
Sigmond Runs on SignalWire
A voice and video AI agent built on the SignalWire SDK, wired to a live knowledge base, able to see what you show him. Build the same thing on voice, phone, WhatsApp, or SIP, or an entire white-label platform with SignalWire as the network underneath.

Trusted by 2,000+ companies