What is the typical latency of a Layercode agent?

Layercode is designed for sub-300ms end-to-end latency. Its edge network processes audio within ~50ms of the user, minimizing the delay between the user finishing a sentence and the AI beginning its reply.

Can I use my own LLM with Layercode?

Yes. Layercode is model-agnostic. You can connect any backend agent (OpenAI, Anthropic, Google Gemini, or even self-hosted models via Ollama) and use Layercode strictly for the voice infrastructure.

Does Layercode support interruptions?

Yes. The platform includes an 'automatic' mode that allows users to interrupt the AI. It also offers a 'push-to-talk' mode for environments where users want manual control over the microphone.

How do I test Layercode locally?

Layercode provides a CLI tool that sets up a secure tunnel. This allows you to point Layercode's cloud infrastructure to your local development server without needing to deploy or manually configure webhooks.

What speech-to-text (STT) and text-to-speech (TTS) engines are supported?

Layercode integrates with leading providers including Deepgram and AssemblyAI for transcription, and ElevenLabs, Cartesia, and Play.ht for high-fidelity voice synthesis.

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Voice agents

Paid

Layercode

Build and deploy low-latency voice AI agents effortlessly. Layercode handles the real-time audio infrastructure, STT, and TTS, allowing you to focus on your agent's logic and LLM orchestration.

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Rating

Reviews

Upvotes

4 months ago

Listed

Voice AI

Conversational AI

Low Latency

Developer Tools

Real-time Audio

AI Infrastructure

Speech-to-Text

Text-to-Speech

AI Agents

Tool information

Provider

Layercode

Platforms

Web

Node.js

Python

React

Languages

English

Multi-language (via Inworld/ElevenLabs integrations)

API Available

Yes

Added to directory

4 months ago

Last updated

about 2 months ago

Rating

Not available

Pricing

Paid

About Layercode

What the tool does and who it's for

Layercode is a developer platform designed to simplify the creation of low-latency voice AI agents. It abstracts the complexities of real-time audio infrastructure by managing the entire pipeline—including streaming speech-to-text (STT), turn-taking logic, and text-to-speech (TTS) synthesis—through a global edge network of over 330 locations. Developers can build agents using a 'text-in, text-out' workflow, allowing them to focus on agent logic and LLM prompts while Layercode handles the sub-300ms audio delivery. The platform is model-agnostic, supporting integrations with providers like OpenAI, Anthropic, Deepgram, ElevenLabs, and Cartesia, and offers a CLI for rapid local development with built-in tunneling.

Key capabilities

Global Edge Network: Deployed to 330+ locations to ensure audio processing within ~50ms of users.

Model Agnostic: Seamlessly swap between LLM providers like OpenAI, Anthropic, or local models.

Integrated STT & TTS: Built-in support for enterprise-grade models like Deepgram, ElevenLabs, and Cartesia.

Zero-to-Production CLI: Initialize projects with a single command including built-in tunneling for local testing.

Turn-taking & Interruptions: Advanced handling for natural conversation flow, including silence detection and push-to-talk modes.

Telephony Integration: Connect voice agents directly to phone lines (Twilio support).

Real-time Streaming: High-performance WebSocket-based audio delivery for sub-300ms end-to-end latency.

Frontend SDKs: Dedicated hooks and utilities for React and Vanilla JS to manage mic capture and session state.

Pricing

Paid — plans below

Pro

Enterprise

Contact sales

Unlimited Concurrent Conversations
Volume Pricing Tiers
Priority Phone, Email & Slack Support
Custom Security & Compliance
Custom Model Integrations

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