OpenAI Realtime Agents is a demonstration framework for building voice agents using the OpenAI Realtime API and the OpenAI Agents SDK. The project showcases advanced agentic patterns that combine real-time voice interaction with sophisticated agent orchestration capabilities.
The framework addresses the challenge of building voice agents that balance responsiveness with reasoning quality. It demonstrates two distinct patterns: Chat-Supervisor, which uses a fast realtime model for immediate user interaction while delegating complex reasoning and tool calls to a more capable text-based model, and Sequential Handoff, which routes users between specialized agents based on their intent. This approach avoids the performance degradation that occurs when a single agent must manage all instructions and tools simultaneously.
Developers should consider this framework if they are building customer service applications, multi-turn voice interactions, or systems requiring specialized agent behaviors. The Chat-Supervisor pattern suits scenarios where low-latency responses are important but complex decisions need higher reasoning capability, accepting a small latency increase for quality. The Sequential Handoff pattern works well for customer service where different user intents map to specialist domains. The project is built as a Next.js TypeScript application, making it accessible to web developers familiar with that stack. An alternative branch without the OpenAI Agents SDK is available for those preferring a simpler implementation.
The project maintains a working demonstration with clear setup instructions and visual documentation of the patterns in action. The codebase includes concrete agent configurations showing how the Chat-Supervisor and Sequential Handoff patterns are implemented, with video walkthroughs provided to illustrate the user experience and timing characteristics of each approach.
