Apr 22, 2026Agent Frameworks & Tools
OpenAI uses WebSockets to speed up Codex agent loops
An OpenAI blog post details how WebSockets and connection-scoped caching were used in the Responses API to reduce API overhead and improve model latency in the Codex agent loop.
Score breakdown
Composite
7.4
out of 10
Novelty · 25%
7
Novelty
Impact · 35%
7
Impact
Credibility · 20%
9
Credibility
Depth · 20%
7
Depth
Weights applied. How scores work ↗
Why it matters
Developers building multi-step agentic workflows with the Responses API can expect lower latency and reduced overhead by leveraging WebSockets and connection-scoped caching in the Codex agent loop pattern.
- 01The post is a deep dive into the Codex agent loop architecture.
- 02WebSockets were added to the Responses API to reduce connection overhead.
- 03Connection-scoped caching was introduced alongside WebSockets to further cut latency.
Summary— our read of the original
No summary available yet.
Key facts
- 01The post is a deep dive into the Codex agent loop architecture.
- 02WebSockets were added to the Responses API to reduce connection overhead.
- 03Connection-scoped caching was introduced alongside WebSockets to further cut latency.
- 04The combined changes reduced API overhead and improved model latency in agentic workflows.
Topics
Methodology
Summary and scoring are generated automatically from the original article. We always link back to the publisher and never republish images or paywalled content. Last processed Apr 23, 2026 · 11:04 UTC. How this works →