•1 min read•from InfoQ
OpenAI Introduces Websocket-Based Execution Mode to Reduce Latency in Agentic Workflows
Our take
OpenAI has unveiled a WebSocket-based execution mode for its Responses API, significantly enhancing performance in agentic workflows. This innovative update reduces latency by up to 40 percent, replacing traditional HTTP request-response cycles with persistent connections. As a result, users can experience improved streaming capabilities, more efficient tool execution, and streamlined multi-step orchestration in production-scale AI systems. This advancement not only optimizes coding agents but also empowers real-time AI applications, paving the way for more responsive and effective data management solutions.
OpenAI introduces a WebSocket-based execution mode for its Responses API to improve agentic workflow performance in coding agents and real-time AI systems. The update reduces latency by up to 40 percent by replacing HTTP request-response cycles with persistent connections, improving streaming, tool execution, and multi-step orchestration in production-scale AI systems.
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