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XiaoDuoYa/codex-with-chatgpt · source

Snapshot 0 · 2026-11-04T12:47:28Z · TypeScript · MIT

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2c70e4cdb804f836d94b59d7a25ab6c9146b9ef2461093a40dd2d5d0e76b2946

GitHub description at capture

ChatGPT thinks. Codex works. Use ChatGPT as the planning brain while keeping the Codex harness.

README at capture

# Codex with ChatGPT

> ChatGPT thinks. Codex works.
> ChatGPT 负责思考，Codex 负责干活。

> [!IMPORTANT]
> **遇到问题？** 请先向 Codex 发送 **「更新 Codex with ChatGPT」** 并重试。更新到最新版本可以解决大多数已知问题。
> **Having trouble?** First ask Codex to **“Update Codex with ChatGPT”** and try again. Updating to the latest version resolves most known issues.

## The problem · 解决什么问题

**中文** — ChatGPT 付费订阅的网页版额度大量闲置，Codex 却在消耗紧张的
API 额度做规划和 Review。本项目把"思考"交给你已付费的网页版 ChatGPT，
Codex 只负责执行。不用 API Key、不搞逆向代理——官方网页 + 只读 MCP 桥接。

**EN** — ChatGPT Plus/Pro web quota sits idle while your coding agent burns
scarce API/Codex tokens on planning and review. This project moves the
thinking to the subscription you already pay for; Codex only executes.
No API keys, no reverse proxy — official web UI plus a read-only MCP bridge.

## What it is · 这是什么

**中文** — 把 ChatGPT 网页版变成 Codex 编码会话的"规划与审查大脑"，执行权
完全保留在 Codex 手里。你的仓库永远不会被上传：ChatGPT 通过一条安全的、
OAuth 保护的**只读** MCP 连接，按需读取当前工作区里它真正需要的那几行代码。

**EN** — Use the ChatGPT web app as the planning and review brain for your
Codex coding sessions, while Codex keeps full ownership of execution. Your
repository is never uploaded: ChatGPT reads exactly the lines it needs through
a secure, OAuth-protected, **read-only** MCP connection to your current
workspace.

Detailed docs below are in English · 详细中文文档见 **[README.zh-CN.md](README.zh-CN.md)**

## One-paste install · 一段话安装

**中文** — 不懂 git、Node、终端？完全不需要懂。把下面这段话原样复制给你的
编码 Agent（Codex），然后去倒杯咖啡：

```text
请帮我完整安装并配置 Codex with ChatGPT，全程自动，我是不懂技术的小白，
所有事情你自己做：

1. 环境自检：需要 git 和 Node.js ≥ 20，缺什么就自动安装
（macOS 用 Homebrew，Windows 用 winget），同时安装 cloudflared。
2. 下载：把 https://github.com/XiaoDuoYa/codex-with-chatgpt 克隆到
~/codex-with-chatgpt（已存在就 git pull 更新）。
3. 构建：在该目录里执行 corepack pnpm install 和 corepack pnpm build。
4. 安装 Skill：先确定 Codex home：如果设置了非空的 CODEX_HOME 就使用它，
否则使用 ~/.codex（Windows 默认为 %USERPROFILE%\.codex）。把仓库里的
skill/SKILL.md 复制到 <codex-home>/skills/codex-with-chatgpt/SKILL.md，
并把文件中 "The codex-with-chatgpt checkout lives at:" 那一行的路径改成实际克隆路径。
5. 首次配置：按 SKILL.md 里的 first-time setup 流程执行
（运行 c2c setup，用内置浏览器打开 ChatGPT 配置连接器并输入配对码）。
全程只用内置浏览器，禁止打开任何第三方浏览器。
6. 只有遇到需要我登录（ChatGPT / Cloudflare）、验证码或两步验证时才叫我，
而且一次只告诉我一个动作。
7. 完成后给我看 ✓ 清单，并确认文件读取测试通过。我不懂 MCP、OAuth、
Tunnel、端口这些词，不要向我解释；出了问题先自己修。
```

**EN** — Don't know git, Node, or terminals? You don't need to. Copy the
paragraph below, paste it to your coding agent (Codex), and go grab a coffee:

```text
Please install and configure "Codex with ChatGPT" for me, fully automatically.
I am a non-technical user — do everything yourself:

1. Check the environment: git and Node.js >= 20 must be available. Install
anything missing yourself (macOS: Homebrew, Windows: winget). Also install
cloudflared.
2. Download: clone https://github.com/XiaoDuoYa/codex-with-chatgpt into
~/codex-with-chatgpt (if it already exists, git pull to update).
3. Build: inside that folder run `corepack pnpm install` then `corepack pnpm build`.
4. Install the Skill: determine the Codex home first: use a non-empty CODEX_HOME
when set, otherwise use ~/.codex (%USERPROFILE%\.codex on Windows). Copy
skill/SKILL.md to <codex-home>/skills/codex-with-chatgpt/SKILL.md, and update
the line "The codex-with-chatgpt checkout lives at:" to the actual clone path.
5. First-time setup: follow the SKILL.md "first-time setup" workflow
(run c2c setup, configure the ChatGPT connector in the BUILT-IN browser,
enter the pairing code). Never open a third-party browser.
6. Only interrupt me for logins (ChatGPT / Cloudflare), CAPTCHAs or 2FA —
and give me exactly ONE action at a time.
7. When done, show me the ✓ checklist and confirm the file-read test passed.
I don't know what MCP, OAuth, tunnels or ports are. Don't explain them.
If anything breaks, fix it yourself first.
```

**Updates · 更新** — The Skill checks GitHub once a day and updates itself when a
new version is released; no action needed. You can also say "更新 Codex with ChatGPT"
anytime. / Skill 每天自动检查一次 GitHub，有新版本会自动更新，无需任何操作；
也可以随时对 Codex 说"更新 Codex with ChatGPT"。

---

*The sections below are in English. 以下详细内容为英文，中文完整版见
[README.zh-CN.md](README.zh-CN.md)。*

## Install → Setup → Use (manual)

Let `<codex-home>` be a non-empty `CODEX_HOME` when set; otherwise use `~/.codex`
(`%USERPROFILE%\.codex` on Windows).

1. Install the Codex Skill: copy `skill/` to `<codex-home>/skills/codex-with-chatgpt/`.
2. Tell Codex: **"Set up Codex with ChatGPT."** (中文: "使用 Codex with ChatGPT 完成首次配置。")
3. Use Codex normally: **"Use Codex with ChatGPT to implement XXX."**

> **Installation scope:** This repository does not publish or install a Codex
> Web GPT, launcher, or model-catalog entry. Installation consists of building
> this checkout, installing `skill/SKILL.md` as a Codex Skill, and running
> `c2c setup` to configure the ChatGPT connector. For Web GPT or model-catalog
> problems, see [troubleshooting](docs/troubleshooting.md).

That's the whole manual. You don't need to know what MCP, OAuth, tunnels,
ports or localhost are — Codex configures everything automatically and you
just see:

```
Codex with ChatGPT

✓ Project detected
✓ Workspace Bridge started
✓ Secure connection established
✓ ChatGPT connected
✓ File read test passed

Ready.
```

The only steps that may need you: logging into ChatGPT (and, if you want a
stable hostname, logging into Cloudflare once). A **new** workspace also asks
you to create a ChatGPT Project (collection) once — pick **project-only
memory**, name it after the workspace. If the sidebar has no Projects row,
hover **Chats**, open the … menu, and choose **Organize by project**. Codex
then saves that collection link and starts chats from that page. Existing
workspaces that already have a C2C chat stay on the old one-conversation
style until you ask to switch.

### Optional stable hostname

The default public address is a temporary Cloudflare URL. It changes when the
bridge restarts, and Codex repairs ChatGPT by deleting that workspace's
connector and adding it again.

If you have a Cloudflare account and a domain already on Cloudflare, first-time
setup (and the next coding session, once) will ask whether you want a stable
hostname such as `c2c-<project>.your-domain.com`. That path opens a browser so
you can authorize Cloudflare. After that, the ChatGPT connector keeps working
across restarts. If you skip it, or the login fails, Codex stays on the temporary
address — same features, just a slower repair.

Credentials stay in the OS app state directory, not in the project.

## How it works

```
┌───────────────────────────┐
│ ChatGPT Web │
│ Reason / Plan / Review │
└──────────┬──────────▲─────┘
│ │
MCP │ │ Computer Use
Data Plane │ │ Control Plane (<1 KB messages)
▼ │
┌─────────────────────┐
│ C2C Bridge │ loopback-only HTTP server
│ read-only MCP │ OAuth 2.1 + one-time pairing code
│ OAuth + Pairing │ Cloudflare Quick Tunnel
│ Tunnel Manager │
└──────────┬──────────┘
│ read-only
▼
┌─────────────────────┐ ┌─────────────────────┐
│ Local Workspace │◀─────────│ Codex Harness │
└─────────────────────┘ edit/git │ shell / tests / fix │
└─────────────────────┘
```

- **Control plane (Computer Use)**: Codex and ChatGPT exchange tiny structured
`[C2C]` state messages — `INIT → PLAN → EXECUTED → REVIEW → DONE`. No diffs,
no logs, no file bodies are ever pasted.
- **Data plane (MCP)**: ChatGPT pulls what it needs itself through 10 read-only
tools: `workspace_info`, `list_directory`, `read_file`, `search_workspace`,
`git_status`, `git_diff`, `test_status`, `execution_summary`,
`execution_output`, `read_image`.
- **Independent review**: after Codex executes, ChatGPT inspects the actual
git diff and test records through MCP — it never trusts "all tests passed"
claims blindly.

### Generated media handoff

The connector remains read-only: `read_image` can inspect supported workspace
images but cannot write files. After a requested image or video is downloaded
through the visible ChatGPT UI, the local executor can validate and import the
original with `c2c asset import -w <workspace> --from <download> --to <new-path>`.
Imports are workspace-contained, signature-checked, size-limited, reject active
SVG content, and never overwrite an existing file.

## Security model (short version)

- **Read-only by construction**: write/delete/shell/commit tools simply do not
exist on the server. No prompt injection can enable them.
- **One workspace = one boundary**: every token is bound to a single workspace;
path containment uses canonical realpaths (symlink/`../`/absolute-path escapes
are all blocked and tested).
- **Sensitive files never leave**: `.env*`, keys, SSH, credentials are denied by
default (`.env.example` allowed); `.c2cignore` adds your own rules.
- **Knowing the URL grants nothing**: the public MCP endpoint requires OAuth 2.1
(PKCE S256, dynamic client registration, rotating refresh tokens). Without a
token: 401. Wrong workspace: 403.
- **The model never sees long-lived credentials**: the only secret that ever
touches a browser is a one-time pairing code (5-minute TTL, 5 attempts,
rate-limited, destroyed on use).

Full threat model: [docs/security.md](docs/security.md)

## For developers

```bash
pnpm install
pnpm build # -> dist/, exposes the `c2c` bin
pnpm test # vitest: 150 tests (path security, OAuth, pairing, MCP e2e)

c2c setup # bridge + tunnel + pairing code, all in one
c2c sandbox-allow # whitelist the settings dir in Codex (macOS + Windows)
c2c status / doctor / pair / unpair / logs / stop
```

Requirements: Node.js >= 20, git. `cloudflared` for the public connection
(auto-detected; the Skill installs it for you). If QUIC is blocked, set
`C2C_TUNNEL_PROTOCOL=http2` and restart the bridge.

Docs: [architecture](docs/architecture.md) · [protocol](docs/protocol.md) ·
[security](docs/security.md) · [troubleshooting](docs/troubleshooting.md)

## Project layout

```
src/
bridge/ loopback HTTP server, port recovery, admin API
mcp/ 9 read-only tools, stateless Streamable HTTP
auth/ OAuth 2.1 (PKCE, DCR, refresh rotation, revocation)
pairing/ one-time pairing codes (CSPRNG, TTL, rate limits)
workspace/ path containment, sensitive-file policy, search, git
tunnel/ TunnelProvider abstraction + Cloudflare Quick/Named Tunnel
execution/ execution records for the review loop
process/ daemon lifecycle
cli/ the c2c CLI
skill/ the Codex Skill (the real UX layer)
tests/ unit + integration tests
docs/ architecture / protocol / security / troubleshooting
```

## Status & disclaimer

V1. Verified end-to-end: bridge, OAuth + pairing, public tunnel, ChatGPT
connector setup, zero-touch first-run experience.

**Unofficial community project. Not affiliated with or endorsed by OpenAI.**

## License

[MIT](LICENSE)

## Star History