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Faster agent workflows enable more responsive AI applications.
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OpenAI improved agentic workflows by integrating WebSockets in the Responses API. This approach reduces API overhead and enhances model latency through connection-scoped caching. These improvements speed up the Codex agent loop for more efficient interactions.

Faster agent workflows enable more responsive AI applications.
OpenAI
Reduced latency can improve user experience and operational efficiency.
Developers using agentic workflows should consider adopting WebSockets for better performance.
Sources in this thread (1): OpenAI News
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OpenAI improved agentic workflows by integrating WebSockets in the Responses API. This approach reduces API overhead and enhances model latency through connection-scoped caching. These improvements speed up the Codex agent loop for more efficient interactions.
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OpenAI improved agentic workflows by integrating WebSockets in the Responses API. This approach reduces API overhead and enhances model latency through connection-scoped caching. These improvements speed up the Codex agent loop for more efficient interactions.