Speeding up agentic workflows with WebSockets in the Responses API

OpenAI says WebSockets in the Responses API speed up the Codex agent loop, using connection-scoped caching to cut API overhead and improve latency. The RSS snippet confirms the mechanism, but the post does not disclose latency deltas, throughput numbers, or workload conditions. The key point is transport-layer optimization, not a new model.

Why it matters: This is a developer-facing OpenAI product update at the systems layer: WebSockets plus connection-scoped caching target agent-loop round-trip cost. HKR-H/K/R all pass, but the post does not disclose latency gains, throughput, or workload bounds, so it stays mid-featured rather än