Agent wouldn't "see" attached images and would instead try to use the view_file tool: <img width="1516" height="504" alt="image" src="https://github.com/user-attachments/assets/68a705bb-f962-4fc1-9087-e932a6859b12" /> In this PR, we wrap image content items in XML tags with the name of each image (now just a numbered name like `[Image #1]`), so that the model can understand inline image references (based on name). We also put the image content items above the user message which the model seems to prefer (maybe it's more used to definitions being before references). We also tweak the view_file tool description which seemed to help a bit Results on a simple eval set of images: Before <img width="980" height="310" alt="image" src="https://github.com/user-attachments/assets/ba838651-2565-4684-a12e-81a36641bf86" /> After <img width="918" height="322" alt="image" src="https://github.com/user-attachments/assets/10a81951-7ee6-415e-a27e-e7a3fd0aee6f" /> ```json [ { "id": "single_describe", "prompt": "Describe the attached image in one sentence.", "images": ["image_a.png"] }, { "id": "single_color", "prompt": "What is the dominant color in the image? Answer with a single color word.", "images": ["image_b.png"] }, { "id": "orientation_check", "prompt": "Is the image portrait or landscape? Answer in one sentence.", "images": ["image_c.png"] }, { "id": "detail_request", "prompt": "Look closely at the image and call out any small details you notice.", "images": ["image_d.png"] }, { "id": "two_images_compare", "prompt": "I attached two images. Are they the same or different? Briefly explain.", "images": ["image_a.png", "image_b.png"] }, { "id": "two_images_captions", "prompt": "Provide a short caption for each image (Image 1, Image 2).", "images": ["image_c.png", "image_d.png"] }, { "id": "multi_image_rank", "prompt": "Rank the attached images from most colorful to least colorful.", "images": ["image_a.png", "image_b.png", "image_c.png"] }, { "id": "multi_image_choice", "prompt": "Which image looks more vibrant? Answer with 'Image 1' or 'Image 2'.", "images": ["image_b.png", "image_d.png"] } ] ``` |
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| .config | ||
| .github/workflows | ||
| ansi-escape | ||
| app-server | ||
| app-server-protocol | ||
| app-server-test-client | ||
| apply-patch | ||
| arg0 | ||
| async-utils | ||
| backend-client | ||
| chatgpt | ||
| cli | ||
| cloud-tasks | ||
| cloud-tasks-client | ||
| codex-api | ||
| codex-backend-openapi-models | ||
| codex-client | ||
| common | ||
| core | ||
| debug-client | ||
| docs | ||
| exec | ||
| exec-server | ||
| execpolicy | ||
| execpolicy-legacy | ||
| feedback | ||
| file-search | ||
| keyring-store | ||
| linux-sandbox | ||
| lmstudio | ||
| login | ||
| mcp-server | ||
| mcp-types | ||
| ollama | ||
| otel | ||
| process-hardening | ||
| protocol | ||
| responses-api-proxy | ||
| rmcp-client | ||
| scripts | ||
| stdio-to-uds | ||
| tui | ||
| tui2 | ||
| utils | ||
| windows-sandbox-rs | ||
| .gitignore | ||
| BUILD.bazel | ||
| Cargo.lock | ||
| Cargo.toml | ||
| clippy.toml | ||
| code | ||
| config.md | ||
| default.nix | ||
| deny.toml | ||
| README.md | ||
| rust-toolchain.toml | ||
| rustfmt.toml | ||
Codex CLI (Rust Implementation)
We provide Codex CLI as a standalone, native executable to ensure a zero-dependency install.
Installing Codex
Today, the easiest way to install Codex is via npm:
npm i -g @openai/codex
codex
You can also install via Homebrew (brew install --cask codex) or download a platform-specific release directly from our GitHub Releases.
Documentation quickstart
- First run with Codex? Start with
docs/getting-started.md(links to the walkthrough for prompts, keyboard shortcuts, and session management). - Want deeper control? See
docs/config.mdanddocs/install.md.
What's new in the Rust CLI
The Rust implementation is now the maintained Codex CLI and serves as the default experience. It includes a number of features that the legacy TypeScript CLI never supported.
Config
Codex supports a rich set of configuration options. Note that the Rust CLI uses config.toml instead of config.json. See docs/config.md for details.
Model Context Protocol Support
MCP client
Codex CLI functions as an MCP client that allows the Codex CLI and IDE extension to connect to MCP servers on startup. See the configuration documentation for details.
MCP server (experimental)
Codex can be launched as an MCP server by running codex mcp-server. This allows other MCP clients to use Codex as a tool for another agent.
Use the @modelcontextprotocol/inspector to try it out:
npx @modelcontextprotocol/inspector codex mcp-server
Use codex mcp to add/list/get/remove MCP server launchers defined in config.toml, and codex mcp-server to run the MCP server directly.
Notifications
You can enable notifications by configuring a script that is run whenever the agent finishes a turn. The notify documentation includes a detailed example that explains how to get desktop notifications via terminal-notifier on macOS. When Codex detects that it is running under WSL 2 inside Windows Terminal (WT_SESSION is set), the TUI automatically falls back to native Windows toast notifications so approval prompts and completed turns surface even though Windows Terminal does not implement OSC 9.
codex exec to run Codex programmatically/non-interactively
To run Codex non-interactively, run codex exec PROMPT (you can also pass the prompt via stdin) and Codex will work on your task until it decides that it is done and exits. Output is printed to the terminal directly. You can set the RUST_LOG environment variable to see more about what's going on.
Experimenting with the Codex Sandbox
To test to see what happens when a command is run under the sandbox provided by Codex, we provide the following subcommands in Codex CLI:
# macOS
codex sandbox macos [--full-auto] [--log-denials] [COMMAND]...
# Linux
codex sandbox linux [--full-auto] [COMMAND]...
# Windows
codex sandbox windows [--full-auto] [COMMAND]...
# Legacy aliases
codex debug seatbelt [--full-auto] [--log-denials] [COMMAND]...
codex debug landlock [--full-auto] [COMMAND]...
Selecting a sandbox policy via --sandbox
The Rust CLI exposes a dedicated --sandbox (-s) flag that lets you pick the sandbox policy without having to reach for the generic -c/--config option:
# Run Codex with the default, read-only sandbox
codex --sandbox read-only
# Allow the agent to write within the current workspace while still blocking network access
codex --sandbox workspace-write
# Danger! Disable sandboxing entirely (only do this if you are already running in a container or other isolated env)
codex --sandbox danger-full-access
The same setting can be persisted in ~/.codex/config.toml via the top-level sandbox_mode = "MODE" key, e.g. sandbox_mode = "workspace-write".
Code Organization
This folder is the root of a Cargo workspace. It contains quite a bit of experimental code, but here are the key crates:
core/contains the business logic for Codex. Ultimately, we hope this to be a library crate that is generally useful for building other Rust/native applications that use Codex.exec/"headless" CLI for use in automation.tui/CLI that launches a fullscreen TUI built with Ratatui.cli/CLI multitool that provides the aforementioned CLIs via subcommands.