The OpenAI Realtime API enables teams to create low-latency, multimodal conversational applications with voice-enabled models. These models support real-time text and audio inputs and outputs, voice activity detection, function calling, and much more. The API offers low-latency streaming, which is essential for smooth and engaging conversational experiences. It also brings advanced voice capabilities to the table, including tone, natural-sounding laughs or whispers, and tonal direction. The Realtime API leverages WebSockets, enabling a persistent, bi-directional communication channel between the client and server. This allows for seamless conversational exchanges and enables features like function calling and Voice Activity Detection (VAD). Building audio support with the OpenAI Realtime API presents unique challenges, including understanding event flows, managing complex audio data, and crafting effective multimodal templates. However, with the right tools and a thoughtful approach, developers can confidently navigate these complexities and build transformative experiences that leverage the full potential of audio as a modality.