The Developer-First Voice Agent Framework

Build AI Voice AgentsLike a Software Engineer

Production-ready voice agents in TypeScript. Skip the infrastructure—just write the logic.

TypeScript-First API

IDE autocomplete, type safety, and modern tooling

Engineer-Grade Tooling

CLI, local dev server, and production observability

Infrastructure as Code

Declare providers, fallbacks, and scaling in config

Built for Engineering Teams

Enterprise-ready with developer experience as priority one

# Install the framework
npm install -g @interactkit/sdk

# Initialize a production-ready project
interactkit create-app

# Check out your new app
cd my-app && code .

Code the Brain, We Handle Everything Else

InteractKit separates configuration from execution. You write the bot logic, our managed runtime handles telephony, audio streaming, LLM orchestration, and infrastructure.

Your Code (Minimal)

Just define configuration & logic

  • LLM Configuration

    Declare which models to use (Anthropic, OpenAI, etc.)

  • Tools as Class Methods

    Define tools with simple async methods, no JSON schemas

  • Single Configuration File

    All settings in one place: LLM, TTS, STT, prompts, tools

  • Event Handlers (Optional)

    Subscribe to lifecycle events when needed

Our Managed Runtime (Everything Else)

We handle the complex infrastructure

  • Telephony & WebRTC Management

    Full audio streaming pipeline with auto-scaling

  • Complete Orchestration Loop

    STT → LLM → Tool Calling → TTS → Audio streaming

  • Automatic Session Management

    State, transcripts, logging, and fault tolerance

  • High-Availability Infrastructure

    Multi-region deployment with automatic failover

The Complete Voice Agent Stack, Abstracted

InteractKit abstracts away the entire real-time voice pipeline so you can focus on building intelligent agents, not infrastructure.

Managed Telephony & Streaming

WebRTC, SIP, and PSTN connections with automatic audio streaming. No WebSocket or low-level audio handling required.

LLM Orchestration Layer

Automatic prompt construction, tool calling routing, and multi-model support. Just declare which providers to use.

Tool Execution Engine

Tools as simple async methods. Automatic validation, execution, and result injection back into conversation.

Real-time Conversation Loop

Full STT→LLM→TTS pipeline with automatic session tracking and state management.

Built-in Session Management

Automatic transcripts, session lifecycle events, and persistent storage for recordings and state.

Serverless Execution Model

Your bot runs in our managed runtime, not your serverless functions. Keep your infrastructure minimal.

Build Complex Bots with Simple Code

Define your entire bot in one TypeScript class. No audio streaming, no WebSocket handling, no complex orchestration code.

No infrastructure code
Automatic tool execution
Built-in error handling

Deploy Anywhere, Scale Everywhere

Your bot runs in InteractKit's managed runtime. Deploy a minimal Express app to any platform while we handle the heavy lifting.

Tiny Deployment Footprint

Deploy only a thin integration layer. No audio processing or LLM logic runs in your infrastructure.

Automatic Scaling

InteractKit handles concurrency, load balancing, and auto-scaling. Your bot scales to zero when idle.

Production-Ready

Built-in monitoring, logging, analytics, and enterprise-grade security out of the box.

Choose Your Stack, We Handle Integration

Mix and match providers. InteractKit handles all integrations automatically.

Anthropic
LLM
OpenAI
LLM
ElevenLabs
TTS
Deepgram
STT
Twilio
Telephony
AWS S3
Storage
Redis
Cache
PostgreSQL
Database

Start Building in Minutes, Not Weeks

Skip the infrastructure complexity. Define your bot's brain, we'll handle the nervous system, voice, and scalability.

Free tier includes 1 free cold agent for lifetime. • No credit card required