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Codex is getting easier to automate and customize around your code

Codex is getting easier to automate and customize around your code

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OpenAI's Codex now offers hooks and programmatic access tokens, enabling easier automation and customization of its coding loop for Business and Enterprise teams.
What: Codex has introduced hooks for customizing its workflow with scripts at key points (e.g., validators, secret scanning, logging) and programmatic access tokens. These tokens provide scoped credentials for Business and Enterprise users, facilitating integration into CI/CD, release workflows, and internal automations, with options for expiration and revocation.
Why it matters: This move signifies OpenAI's focus on enterprise adoption and deeper integration of Codex into existing developer workflows, shifting from a standalone coding assistant to a more customizable, automation-friendly platform.
Takeaway: If your team uses Codex in a Business or Enterprise setting, explore the new hooks and programmatic access tokens to integrate Codex more deeply into your CI/CD pipelines and custom automation scripts.
Decoder
  • Hooks: Programmable points in a software system or workflow where custom code can be injected and executed in response to specific events, allowing for customization and extension of functionality.* Programmatic access tokens: Secure, scoped credentials (like API keys) that allow automated systems or scripts to authenticate and interact with a service or API, rather than requiring a user's full login.* CI/CD (Continuous Integration/Continuous Delivery): A set of practices in software development that involve frequently integrating code changes, running automated tests, and delivering software updates reliably and efficiently.
Original article

Codex is getting easier to automate and customize around your code.

🪝 Hooks customize the Codex loop with scripts that run at key points in a task:

  • Run validators before or after work
  • Scan prompts for secrets
  • Log conversations to internal systems
  • Create memories or customize behavior by repo or directory

⚙️ Programmatic access tokens provide scoped credentials for Business and Enterprise teams:

  • Create tokens from ChatGPT workspace settings
  • Use them in CI, release workflows, and internal automations
  • Set expirations or revoke access when needed
  • Keep usage tied back to the workspace

Open Responses: an open-source spec for building multi-provider, interoperable LLM interfaces built on top of the original OpenAI Responses API.

  • Multi-provider by default
  • Useful for real-world workflows
  • Extensible without fragmentation

Build agentic systems without rewriting your stack for every model: openresponses.org

https://x.com/ben_burtenshaw/status/2011869403097305271
https://x.com/vercel_dev/status/2011874375885341147?s=20

GPT-5.2-Codex is now available in the Responses API—the same model available in Codex.

It’s strong at complex long-running tasks like building new features, refactoring code, and finding bugs.

Plus, it’s the most cyber-capable model yet, helping to find and understand codebase vulnerabilities.

platform.openai.com/docs/models/gp…

Check out our prompting guide to get the most out of Codex models: cookbook.openai.com/examples/gpt-5…

Here’s what our customers are saying about GPT-5.2-Codex in the API 👇

https://x.com/cursor_ai/status/2011500027945033904?s=20

🆕 Codex now officially supports skills

Skills are reusable bundles of instructions, scripts, and resources that help Codex complete specific tasks.

You can call a skill directly with $.skill-name, or let Codex choose the right one based on your prompt.

Following the agentskills.io standard, a skill is just a folder: SKILL.md for instructions + metadata, with optional scripts, references, and assets.

We’re looking forward to collaborating on the standard so it’s easy to share and use skill across different tools.

You can install scripts for just yourself in (~/.codex/skills), or for everyone working on a project in (repo_path/.codex/skills).

We’ve also bundled a few handy system skills with Codex, such as plan, skill-creator, and skill-installer.

developers.openai.com/codex/skills

You can now get more Codex usage from your plan and credits with three updates today:

  1. GPT-5-Codex-Mini — a more compact and cost-efficient version of GPT-5-Codex
  2. 50% higher rate limits for ChatGPT Plus, Business, and Edu
  3. Priority processing for ChatGPT Pro and Enterprise

GPT-5-Codex-Mini allows roughly 4x more usage than GPT-5-Codex, at a slight capability tradeoff due to the more compact model.

Available in the CLI and IDE extension when you sign in with ChatGPT, with API support coming soon.

Select GPT-5-Codex-Mini for easier tasks or to extend usage when you’re close to hitting rate limits.

Codex will also suggest switching to it when you reach 90% of your limits, so you can work longer without interruptions.

Two big updates to the Responses API today.

  • Connectors — Pull context from Gmail, Google Calendar, Dropbox, and more in a single API call.
  • Conversations — Persist chat threads for your users, without running your own database.

More below:

Build rich experiences with connectors to:

  • Read emails
  • Fetch calendar events
  • Search files and chats

Gmail, Google Calendar, Drive, Dropbox, Teams, Outlook Calendar + Email, and SharePoint are available now.

They work with deep research, too!

platform.openai.com/docs/guides/to…

Here’s a demo app that shows how you can connect your app to Google Calendar and fetch upcoming events: github.com/openai/openai-…

Six tips for coding with GPT-5:

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