According to OpenAIDevs on X, introducing WebSockets to the OpenAI Responses API yields about 30% faster rollouts for agentic workflows in Codex-style tooling scenarios, enabling low-latency, long-running agents with heavy tool calls. As reported by OpenAIDevs, the WebSocket mode maintains a persistent, bidirectional channel that reduces HTTP overhead and accelerates function-calling loops, streaming events, and tool invocation round-trips. According to Greg Brockman, this performance gain targets production agent frameworks where iterative tool use dominates latency, offering developers measurable speed-ups, lower infrastructure costs, and improved user responsiveness. As documented on developers.openai.com, the guide positions WebSockets as the recommended transport for high-frequency tool calling, enabling real-time streaming of model outputs, function call arguments, and tool results for end-to-end latency reduction.