ToolsThe story, in brief

OpenAI Introduces Websocket-Based Execution Mode to Reduce Latency in Agentic Workflows

40% latency cut. OpenAI's new WebSocket mode just made agentic workflows actually viable at production scale.

Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

OpenAI shipped a technical infrastructure feature that materially improves real-time AI agent performance. For founders building agent-heavy products, this removes a friction point that's been limiting deployment speed.

The key facts

6 to know
  1. WebSocket-based execution mode for Responses API

  2. Up to 40% latency reduction vs HTTP request-response

  3. Targets coding agents and real-time AI systems

  4. Improves streaming, tool execution, and multi-step orchestration

  5. Production-scale deployment focus

  6. Replaces HTTP cycles with persistent connections

Go to the source

InfoQ AI/MLinfoq.com

Publisher excerpt: 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…
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