Retell AI Reference Architecture

About

This skill provides a standardized, layered architecture for building Retell AI applications, ensuring scalability, maintainability, and enterprise-grade reliability. It guides developers through establishing clear boundaries between API, Service, and Infrastructure layers while implementing critical patterns such as singleton client wrappers, custom error handling, proactive health checks, and efficient data flow. It is particularly useful for teams bootstrapping new voice AI projects or looking to refactor existing integrations into a professional, production-ready structure.

Key Features

• Custom error boundary implementation for resilient voice service handling
• Pre-configured health check endpoints for connectivity monitoring
• TypeScript-first directory structure with environment-specific configurations
• 1,030 GitHub stars
• Standardized four-layer architecture (API, Service, Client, Infrastructure)
• Production-ready client wrapper with built-in caching and monitoring

Use Cases

• Establishing architectural standards and project layouts across engineering teams
• Bootstrapping a new Retell AI voice automation project from scratch
• Refactoring monolithic Retell AI code into a clean, maintainable service layer