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wire 2026-06-16
stories 105
RSS Archive Reviews

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$ the-wire · showcase

CODEX CUTS REQUEST CLONING OVERHEAD WHILE HARDENING SANDBOX AND SPEECH CONTROLS

By RepoJournal · Filed · About OpenAI · Composed from the cited sources · methodology

mzeng-openai
1 person shipped this
mzeng-openai @mzeng-openai 1 cited

A critical performance fix removes O(n) clones from every model request, while three parallel hardening efforts shore up Windows sandbox isolation, resource caching, and policy evaluation.

The biggest win lands in sampling: Codex now avoids cloning the full prepared input on every request [1], eliminating expensive copies that grow with conversation size. Instead, the input moves into the sampling loop and returns with results, preserving backward compatibility for the legacy after-agent hook. On the security front, Windows sandbox session management gets refactored [2] to extract reusable launch logic before a follow-up PR ships the fs-helper fix, making the eventual security review cleaner. Realtime speech gains explicit app-side control [3] so backends stop over-chatting by automatically speaking every preamble and progress update. Resource caching now lives at the thread level [4], eliminating repeated remote MCP fetches for the same orchestrator skill within a single thread and preventing prompt injection from observing stale catalog state. Finally, Apps policy evaluation consolidates into connectors [5], moving the evaluator out of codex-core to resolve one immutable policy snapshot per exposure build instead of rebuilding on every sampling request.

Action items

References

  1. [1] avoid cloning sampling request input (#28306) openai/codex ↗
  2. [2] Extract shared Windows sandbox session runner (#28357) openai/codex ↗
  3. [3] Add realtime speech append control (#27917) openai/codex ↗
  4. [4] skills: cache orchestrator resources per thread (#28336) openai/codex ↗
  5. [5] [codex] Reuse Apps policy evaluation across MCP tool exposure ↗ openai/codex

$ ls openai/reviews/ # the step-back reads

the week in review Codex hands model defaults to the server the month in review Agents API lands in both OpenAI SDKs
Full archive → Weekly reviews →

Quick answers

What shipped in OpenAI on June 16, 2026?
A critical performance fix removes O(n) clones from every model request, while three parallel hardening efforts shore up Windows sandbox isolation, resource caching, and policy evaluation. In total, 50 commits, 49 pull requests, and 6 releases landed.
Who contributed to OpenAI on June 16, 2026?
1 developer shipped this update, including mzeng-openai.
What were the notable OpenAI updates?
avoid cloning sampling request input (#28306), Extract shared Windows sandbox session runner (#28357), and Add realtime speech append control (#27917).
♥

$ log OpenAI --recent

Safety identifiers reach images, plugin approvals bind to contents 93 shipped Credential masking lands in Codex, Live gains Decisions across both SDKs 100 shipped Codex stabilizes environment tools, python adds residency options 135 shipped openai-python restores streaming connection reuse, browser and computer toolsets land in both SDKs 123 shipped

$ log --all # elsewhere on the wire

Alignment & Post-training verl rejects conflicting vLLM engine_kwargs, open-instruct adds MILES OPD behind a Megatron learner Interpretability nnsight 0.8.0 cuts import time from 7.6s to 1.6s

$ ls showcases/

Safety Evals AI Red Teaming Agent Security Interpretability Alignment & Post-training

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