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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.

Reporting by InfoQ AI/ML 1 min brief
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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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