pluginintermediateChatGPT/Codex

OpenAI Codex CLI v0.115.0: Agentic Coding Enhancements

The latest OpenAI Codex CLI update enhances its capabilities as an autonomous coding assistant. It can now read the integrated terminal to monitor server status, handle real-time data streams via websockets, and propose multiple implementation approaches for a given task, helping developers build and debug software faster.

AI SETUP PROMPT

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

# Install & Configure: OpenAI Codex CLI v0.115.0: Agentic Coding Enhancements

## What This Is
The latest OpenAI Codex CLI update enhances its capabilities as an autonomous coding assistant. It can now read the integrated terminal to monitor server status, handle real-time data streams via websockets, and propose multiple implementation approaches for a given task, helping developers build and debug software faster.

Source: https://openai.com/index/introducing-codex/

## Before You Start

Scan my workspace and analyze:
- The project language, framework, and directory structure
- Existing agent configuration (check for .claude/, .codex/, CLAUDE.md, settings.json, commands/, skills/ directories)

Then ask me before proceeding:
1. Do I need to configure any service credentials for this plugin (database, API keys, etc.)?
2. Should this be project-scoped or global?

## Source Access Note

The source URL (https://openai.com/index/introducing-codex/) 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 an **Agent Plugin** — typically an MCP server or capability bundle.

- Install any required npm/pip packages from the source repository
- Register the MCP server in `.claude/settings.json` under the `mcpServers` key with the correct command and args
- Configure any required environment variables or credentials
- Verify the server starts correctly by checking its expected output

## Additional Context

- Scan the user's environment for a global installation of '@openai/codex'. If found, execute `npm install -g @openai/codex@latest` to upgrade to v0.115.0 or newer; otherwise, perform a fresh installation with the same command.
- Verify the installation by running `codex --version`. Subsequently, check the user's environment variables (e.g., `OPENAI_API_KEY` in `.env` or shell profile) for an OpenAI API key. If no key is found, prompt the user to provide one for configuration.
- Demonstrate the new terminal reading feature. In one terminal, start a user-specified development server. In another, initiate a `codex` session and instruct it to read the output from the first terminal to confirm the server has started successfully and report which port it is running on.

## Reference Implementation

```
npm install -g @openai/codex@0.115.0
```

## Guidelines

- Adapt everything to my existing project — do not assume a specific stack or directory layout
- 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

2,750 charactersCompatible with Claude Code & Codex CLI

MANUAL SETUP STEPS

01Scan the user's environment for a global installation of '@openai/codex'. If found, execute `npm install -g @openai/codex@latest` to upgrade to v0.115.0 or newer; otherwise, perform a fresh installation with the same command.
02Verify the installation by running `codex --version`. Subsequently, check the user's environment variables (e.g., `OPENAI_API_KEY` in `.env` or shell profile) for an OpenAI API key. If no key is found, prompt the user to provide one for configuration.
03Demonstrate the new terminal reading feature. In one terminal, start a user-specified development server. In another, initiate a `codex` session and instruct it to read the output from the first terminal to confirm the server has started successfully and report which port it is running on.

CODE INTELLIGENCE

bash

npm install -g @openai/codex@0.115.0

FIELD OPERATIONS

Automated Pull Request Reviewer

Configure Codex CLI in a CI/CD pipeline. Use its 'read-only' mode and terminal reading to check out a new pull request, run the test suite, read the build output, and post a comment on the PR with a summary of test results and AI-generated code suggestions.

Real-time Log Analysis Bot

Create a script that pipes real-time application logs to a Codex CLI session using its websocket transcription feature. The agent's task is to continuously monitor the log stream, identify critical error patterns, and automatically create a bug report ticket in a project management tool with formatted log snippets and a preliminary diagnosis.

STRATEGIC APPLICATIONS

→Accelerate legacy code modernization by using Codex CLI's multi-agent support to parallelize refactoring. Assign different agents to separate modules in isolated git worktrees to upgrade dependencies, convert syntax, and add unit tests, culminating in merge-ready pull requests.
→Implement an autonomous DevOps incident response system. Integrate Codex CLI with a monitoring tool (e.g., PagerDuty) to launch an agent in 'Full Access' mode upon an alert, allowing it to read logs, analyze resource usage, attempt remediation steps like restarting a service, and document its actions.