A GitHub issue reports that Codex CLI 0.147.0 using its native Amazon Bedrock provider cannot enable explicit prompt caching for the openai.gpt-5.6-sol model through the Bedrock Mantle Responses API in us-east-1. The reporter says Codex emits a session-scoped prompt_cache_key, but its HTTP and WebSocket Responses request types do not support prompt_cache_options or prompt_cache_breakpoint fields. The built-in Bedrock provider configuration supports transport and authentication settings rather than request-body transformations, preventing configuration through config.toml. For completed days from August 5 through August 8, 2026, the reporter estimated 3,656 requests generated 171.94 million cache-write tokens, costing $1,182.09 of an estimated $1,386.46 total model spend. Cache writes represented about 85% of the estimate, which was derived from AWS Cost Explorer quantities and Bedrock rate-card pricing rather than finalized invoice amounts. A local session recorded 76 Sol requests, 6.709 million cache-write input tokens, no cached input tokens, and roughly 88,000 cache-write tokens per request; corresponding CloudWatch metrics showed no client errors. The requested changes include support for prompt_cache_options, typed prompt_cache_breakpoint input fields, provider and model capability checks, placement after stable instruction and tool prefixes, and per-turn cache-read and cache-write telemetry.

Codex in ChatGPT enables AI coding agents to perform tasks such as building features, complex refactors, and migrations using OpenAI's advanced coding models. It supports multi-agent workflows with built-in worktrees and cloud environments, allowing agents to work in parallel across projects.

OpenAI Codex Security provides a CLI and TypeScript SDK for identifying, validating, and fixing security vulnerabilities in code. It supports scanning repositories, reviewing changes, tracking findings over time, and running security checks in continuous integration environments, requiring Node.js 22 or later and Python 3.10 or later.

Backporting refreshed bundled model metadata to version 0.144 is proposed in a pull request. Suggestions cannot be applied while the pull request is closed, and multiple suggestions cannot be batched if they involve deleted lines or subsets of changes.

OpenAI's Codex has experienced a total of 35 usage limit resets, with an average interval of 8.9 days between resets and the longest gap recorded at 67.7 days. Reset announcements are tracked daily over the last 26 weeks, providing updates for paid users of Codex and ChatGPT Work.

The kbd-1.0-codex-micro, designed in collaboration with Work Louder, enhances agent workspaces with live RGB feedback and tactile controls for frequently used Codex actions. The keyboard includes a Codex Icon Keyset with 32 extra keycaps and comes with warranty and support.

Encrypted MultiAgentV2 messages in Codex CLI versions post-0.137.0 eliminate a readable task audit trail. This change results from the implementation of message payload encryption merged on June 5, 2026.

A mechanism is proposed to mark sensitive files or paths that should not be read or sent to the model, applicable at both repository and global levels. This feature aims to enhance privacy and security in AI interactions with code.

OpenAI frontier models and Codex are now generally available on AWS, allowing millions of AWS customers to integrate OpenAI's capabilities into their existing workflows. This availability facilitates the adoption of AI in enterprises by streamlining the deployment of frontier AI models.

Workspace agents in ChatGPT allow teams to create shared AI agents that manage complex tasks and long-running workflows within organizational permissions. Powered by Codex, these agents can perform various work-related tasks, including report preparation, code writing, and message responses.