WebSockets vs HTTP for AI applications: which to choose in 2026

In the context of AI applications, the choice between WebSockets and HTTP depends on the specific needs of the experience being developed. HTTP, known for its short-lived, request-response nature, is suitable for simple, stateless AI tasks such as single-shot queries and cached responses, while its streaming capabilities, though limited by half-duplex constraints, can handle basic token streaming. On the other hand, WebSockets offer persistent, bi-directional communication, making them ideal for complex, conversational AI applications that require continuous state management, real-time user interaction and steering, multi-device continuity, and collaborative environments. Modern AI frameworks often support both protocols, but the persistent connection of WebSockets is particularly advantageous for agentic workflows, where maintaining context and seamless interaction across devices is crucial. Companies like Ably AI Transport provide infrastructure solutions that address the complexities of deploying WebSocket-based AI applications, such as session continuity and multi-device synchronization, allowing developers to focus more on enhancing the AI experience itself.

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