OpenAI Realtime Agents is an open-source toolkit for building advanced, voice-enabled AI agents using the OpenAI Agents SDK and Realtime API. It lets developers create conversational AI that can process speech and text instantly, manage multi-agent collaboration, and handle complex business flows. The project demonstrates patterns like agent orchestration, supervisor delegation, and seamless handoffs between specialized agents—all with low-latency voice and text interactions. Setup is straightforward and the codebase is designed for rapid prototyping and easy customization, making real-time AI voice agents accessible for web apps or customer service platforms.
Key Features
Low-latency voice & text AI: Enables instant speech-to-speech and text interactions using the OpenAI Realtime API.
Multi-agent orchestration: Supports handoffs and collaboration between specialist agents for complex flows, like customer service or sales.openai.
Flexible setup & integration: Built as a Next.js TypeScript app; easily integrates with OpenAI models, including GPT-4o and GPT-4.1, for advanced reasoning.
Extensible SDK: Unified interface for defining agent behavior, state management, event handling, and tool integration—customize conversational flows with ease.openai.
Use Cases
Create natural voice assistants for web apps or telephony by streaming audio and handling interruptions smoothly.
Automate customer service with distinct specialist agents (returns, sales, authentication) that transfer users as needed.
Rapidly prototype and deploy multi-agent workflows for business functions or custom user scenarios.
Technical Specifications
Uses OpenAI Agents SDK and Realtime API for multimodal processing (audio + text) and persistent session management.
Built with Next.js and TypeScript; easily set up locally with simple environment configuration (npm i, npm run dev).
Supports built-in agent models (like GPT-4o and GPT-4.1), automatic conversation history, and stateful orchestration—tool calls, handoffs, and guardrails included.