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Codex CLI v0.115.0: GPT-5.4 Integration & Autonomous Workflows

OpenAI's Codex CLI tool for developers has been updated to version 0.115.0. This release adds powerful self-coding abilities by integrating the new GPT-5.4 model, allowing the tool to read the developer's terminal, collaborate with other AI agents, and suggest multiple code solutions for a single problem.

AI SETUP PROMPT

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

# Evaluate Model: Codex CLI v0.115.0: GPT-5.4 Integration & Autonomous Workflows

## What This Is
OpenAI's Codex CLI tool for developers has been updated to version 0.115.0. This release adds powerful self-coding abilities by integrating the new GPT-5.4 model, allowing the tool to read the developer's terminal, collaborate with other AI agents, and suggest multiple code solutions for a single problem.

Source: https://www.youtube.com/watch?v=T-JYfV95JO0

## 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://www.youtube.com/watch?v=T-JYfV95JO0) 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@latest` to ensure the user has the most recent version of the Codex CLI.
- After installation, run `codex` to initiate an interactive session. If prompted for authentication, guide the user to log in with their ChatGPT account.
- Within the interactive session, inform the user they can switch to the new frontier model by typing `/model gpt-5.4` and explore autonomous features like terminal reading and multi-agent scripting with `exec`.

## Reference Implementation

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

## 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
2,988 charactersCompatible with Claude Code & Codex CLI
MANUAL SETUP STEPS
  1. 01Execute the command `npm install -g @openai/codex@latest` to ensure the user has the most recent version of the Codex CLI.
  2. 02After installation, run `codex` to initiate an interactive session. If prompted for authentication, guide the user to log in with their ChatGPT account.
  3. 03Within the interactive session, inform the user they can switch to the new frontier model by typing `/model gpt-5.4` and explore autonomous features like terminal reading and multi-agent scripting with `exec`.

CODE INTELLIGENCE

bash
npm install -g @openai/codex@latest

FIELD OPERATIONS

Autonomous CI/CD Pipeline Doctor

Create a multi-agent Codex CLI workflow using `exec` scripting. One agent monitors build outputs via terminal reading, and if it detects a failure, it hands off to a second agent via WebSocket to analyze the error log, attempt a fix, and re-run the build.

A/B Testing Code Generator

Use the new preview iteration system to build a tool that generates multiple versions of a React component for A/B testing. The script would prompt Codex CLI for a component, receive the 2-4 implementation options (e.g., performance-optimized vs. robust error-handling), and save them as separate files for a feature flagging system.

STRATEGIC APPLICATIONS

  • →Automate legacy code refactoring by using the preview iteration system to generate multiple modern, robust implementation options. A senior developer can then select the best approach, significantly speeding up modernization projects.
  • →Develop an internal 'DevOps assistant' using multi-agent scripting. The assistant can monitor staging environment deployments via terminal reading and automatically roll back a failed deployment, create a bug ticket with the error logs, and notify the on-call engineer via a plugin.

TAGS

#autonomous coding#multi-agent#gpt-5.4#cli#websockets#terminal awareness#tooling
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