---
type: "Evidence Item"
title: "Speeding up agentic workflows with WebSockets in the Responses API"
description: "A deep dive into the Codex agent loop, showing how WebSockets and connection-scoped caching reduced API overhead and improved model latency."
resource: "https://openai.com/index/speeding-up-agentic-workflows-with-websockets"
tags: ["appendix-iii", "deployment", "openai"]
timestamp: "2026-04-22"
category: "deployment"
publisher: "OpenAI"
cope_score: 92
confidence: 0.9
---

# Speeding up agentic workflows with WebSockets in the Responses API

# Claim

A deep dive into the Codex agent loop, showing how WebSockets and connection-scoped caching reduced API overhead and improved model latency.

# Relevance

Appendix III, section four: enterprise deployment evidence

# Oracle Verdict

OpenAI is describing a frontier or production capability that pushes directly on the thesis. The important signal is not the marketing language; it is the widening set of tasks now being routed through model-driven execution rather than ordinary software or headcount.

# Metadata

* Publisher: OpenAI
* Category: deployment
* Sector: Software engineering
* Capability: Autonomous software engineering and computer-use agents
* Cope score: 92
* Confidence: 0.9

# Related Concepts

* [Live evidence index](index.md)
* [Thesis](../thesis.md)

# Citations

[1] [Speeding up agentic workflows with WebSockets in the Responses API](https://openai.com/index/speeding-up-agentic-workflows-with-websockets)