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OpenAI Codex CLI v0.114.0: Multi-Agent Workflows and Terminal Awareness

The latest OpenAI Codex CLI update introduces powerful multi-agent capabilities, allowing several AI assistants to collaborate on a single project. It also gains terminal awareness to understand build errors and now supports the new GPT-5.4 model for enhanced performance.

AI SETUP PROMPT

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

# Evaluate Model: OpenAI Codex CLI v0.114.0: Multi-Agent Workflows and Terminal Awareness

## What This Is
The latest OpenAI Codex CLI update introduces powerful multi-agent capabilities, allowing several AI assistants to collaborate on a single project. It also gains terminal awareness to understand build errors and now supports the new GPT-5.4 model for enhanced performance.

Source: https://serenitiesai.com/articles/openai-codex-cli-guide-2026

## 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://serenitiesai.com/articles/openai-codex-cli-guide-2026) 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 to update the OpenAI Codex CLI to the latest version (0.114.0 or newer) to access the new features.
- Scan the user's project configuration and recommend updating the default model to 'gpt-5.4' to leverage its enhanced capabilities for code generation and multi-agent tasks.
- Propose a multi-agent workflow for a complex task in the current repository. Define roles for two agents (e.g., one for API development, one for frontend UI) and configure them to work in parallel using isolated git worktrees, orchestrated by the OpenAI Agents SDK.

## 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
2,998 charactersCompatible with Claude Code & Codex CLI
MANUAL SETUP STEPS
  1. 01Execute the command to update the OpenAI Codex CLI to the latest version (0.114.0 or newer) to access the new features.
  2. 02Scan the user's project configuration and recommend updating the default model to 'gpt-5.4' to leverage its enhanced capabilities for code generation and multi-agent tasks.
  3. 03Propose a multi-agent workflow for a complex task in the current repository. Define roles for two agents (e.g., one for API development, one for frontend UI) and configure them to work in parallel using isolated git worktrees, orchestrated by the OpenAI Agents SDK.

FIELD OPERATIONS

Automated Full-Stack Scaffolding

An orchestrator agent delegates tasks to a backend agent creating Node.js/Express APIs and a frontend agent building React components concurrently. The agents communicate progress and share interface definitions via a local Model Context Protocol (MCP) server.

CI/CD Pipeline Diagnoser Agent

A 'monitor' agent watches the integrated terminal for build failures during a CI/CD run. On failure, it spawns a 'debugger' agent in a new git worktree to analyze the error output, find the failing code, and propose a fix without interrupting the main development branch.

STRATEGIC APPLICATIONS

  • →Accelerate legacy code refactoring by assigning a team of specialized AI agents to work in parallel. One agent can upgrade dependencies, another can convert class-based components to functional ones, and a third can write corresponding unit tests, significantly reducing migration project timelines.
  • →Implement an autonomous security auditing and patching system. An orchestrator agent continuously scans a repository for vulnerabilities. When one is found, it dispatches an agent to apply a patch in an isolated branch, run regression tests, and submit a pull request for human review.

TAGS

#chatgpt-codex#multi-agent#terminal#workflow#gpt-5#windows#cli#orchestration
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