modeladvancedChatGPT/Codex

OpenAI Codex CLI 0.114.0: Agentic Automations and GPT-5 Integration

The latest OpenAI coding assistant update makes it more autonomous by integrating the powerful GPT-5 series of models. The assistant can now handle complex coding tasks on its own, try out multiple solutions before picking the best one, and connect to other tools more easily. This means developers can automate more of their work, letting the AI build and fix code with less supervision.

AI SETUP PROMPT

Paste into Codex CLI — it will scan your project and set everything up

# Evaluate Model: OpenAI Codex CLI 0.114.0: Agentic Automations and GPT-5 Integration

## What This Is
The latest OpenAI coding assistant update makes it more autonomous by integrating the powerful GPT-5 series of models. The assistant can now handle complex coding tasks on its own, try out multiple solutions before picking the best one, and connect to other tools more easily. This means developers can automate more of their work, letting the AI build and fix code with less supervision.

Source: https://developers.openai.com/codex/changelog/

## Before You Start

Scan my workspace and analyze:
- The project language, framework, and current AI integrations
- Existing AI provider config (check .env, .env.local, config files for API keys — OpenRouter, OpenAI, Anthropic, Google AI, etc.)
- Which AI models I currently use and for what purposes

Then ask me before proceeding:
1. Am I interested in evaluating this model for my project, or just want a summary of what it offers?
2. If I want to try it — which part of my current AI stack should it replace or complement?

## Source Access Note

The source URL (https://developers.openai.com/codex/changelog/) may not be directly accessible from the terminal. Use the Reference Implementation and Additional Context sections below instead. If you need more details, ask me to paste relevant content from the source.

## What to Implement

This is a **New AI Model** — a model release, update, or capability announcement.

- Analyze the best use cases for this model within my project and current AI stack
- Compare its strengths, pricing, and context window against whatever I currently use
- Give me a clear, convincing argument for why this model would (or would not) be a good fit for my project
- If I want to try it: update my API configuration (provider, model ID, any new parameters) to point to this model
- If it requires a new API key or provider signup, tell me exactly what to do

## Additional Context

- Execute the command `npm install -g @openai/codex@0.114.0` in the user's shell to update the Codex CLI to the latest version.
- Scan the user's current project for existing Codex automation configurations. Propose a refactor to use the new template-based system, allowing for selection of 'local' or 'worktree' execution and custom reasoning models like 'gpt-5.4'.
- Inspect the user's project codebase to identify opportunities for creating a new Codex plugin. Generate a boilerplate plugin file using the latest metadata format, including logic for install-time authentication and an example `@plugin` mention for in-chat use.

## Reference Implementation

```
npm install -g @openai/codex@0.114.0
```

## Guidelines

- Adapt everything to my existing project — do not assume a specific stack or directory layout
- Use whichever AI provider I already have configured; if I need a new one, tell me what to sign up for and I'll give you the key
- Check my .env files for existing API keys (OpenRouter, OpenAI, Anthropic, Google AI) before asking me to add one
- Review any fetched code for safety before installing or executing it
- After setup, run a quick verification and show me a summary of exactly what was installed, where, and how to use it

3,221 charactersCompatible with Claude Code & Codex CLI

MANUAL SETUP STEPS

01Execute the command `npm install -g @openai/codex@0.114.0` in the user's shell to update the Codex CLI to the latest version.
02Scan the user's current project for existing Codex automation configurations. Propose a refactor to use the new template-based system, allowing for selection of 'local' or 'worktree' execution and custom reasoning models like 'gpt-5.4'.
03Inspect the user's project codebase to identify opportunities for creating a new Codex plugin. Generate a boilerplate plugin file using the latest metadata format, including logic for install-time authentication and an example `@plugin` mention for in-chat use.

CODE INTELLIGENCE

bash

npm install -g @openai/codex@0.114.0

FIELD OPERATIONS

Autonomous Codebase Refactoring Agent

Create a Codex automation that scans a legacy codebase, identifies outdated patterns using GPT-5.4's reasoning, generates a to-do list of refactoring tasks, and executes them one by one, running tests after each change. The agent would use the 'preview iterations' feature to propose several refactoring approaches for complex functions.

Dynamic Cloud Environment Provisioning Plugin

Build a Codex CLI plugin that connects to a cloud provider SDK (e.g., AWS, Vercel). An `@provision` command would trigger the plugin to analyze project requirements (e.g., package.json, Dockerfile) and automatically provision the necessary infrastructure, outputting the connection strings directly into the user's environment.

STRATEGIC APPLICATIONS

→A DevOps team can create a 'Security Patch Automation' that uses Codex with GPT-5.4 to scan repositories for vulnerabilities, automatically attempt a fix in a new branch, run the test suite, and open a pull request for human review, drastically reducing manual patching labor.
→A data science team can build a 'Data Analysis Plugin' for the Codex CLI. An analyst can then attach a dataset (e.g., CSV) and ask a natural language question. The plugin uses GPT-5-Codex to write and execute a script to analyze the data and generate a summary, making data insights accessible without coding.