Agent IDE — Codex fork for AI-native development environment
7e980d7db6
## Summary This changes `custom_tool_call_output` to use the same output payload shape as `function_call_output`, so freeform tools can return either plain text or structured content items. The main goal is to let `js_repl` return image content from nested `view_image` calls in its own `custom_tool_call_output`, instead of relying on a separate injected message. ## What changed - Changed `custom_tool_call_output.output` from `string` to `FunctionCallOutputPayload` - Updated freeform tool plumbing to preserve structured output bodies - Updated `js_repl` to aggregate nested tool content items and attach them to the outer `js_repl` result - Removed the old `js_repl` special case that injected `view_image` results as a separate pending user image message - Updated normalization/history/truncation paths to handle multimodal `custom_tool_call_output` - Regenerated app-server protocol schema artifacts ## Behavior Direct `view_image` calls still return a `function_call_output` with image content. When `view_image` is called inside `js_repl`, the outer `js_repl` `custom_tool_call_output` now carries: - an `input_text` item if the JS produced text output - one or more `input_image` items from nested tool results So the nested image result now stays inside the `js_repl` tool output instead of being injected as a separate message. ## Compatibility This is intended to be backward-compatible for resumed conversations. Older histories that stored `custom_tool_call_output.output` as a plain string still deserialize correctly, and older histories that used the previous injected-image-message flow also continue to resume. Added regression coverage for resuming a pre-change rollout containing: - string-valued `custom_tool_call_output` - legacy injected image message history #### [git stack](https://github.com/magus/git-stack-cli) - 👉 `1` https://github.com/openai/codex/pull/12948 |
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| .github | ||
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| codex-cli | ||
| codex-rs | ||
| docs | ||
| patches | ||
| scripts | ||
| sdk/typescript | ||
| shell-tool-mcp | ||
| third_party | ||
| .bazelignore | ||
| .bazelrc | ||
| .bazelversion | ||
| .codespellignore | ||
| .codespellrc | ||
| .gitignore | ||
| .markdownlint-cli2.yaml | ||
| .npmrc | ||
| .prettierignore | ||
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| AGENTS.md | ||
| announcement_tip.toml | ||
| BUILD.bazel | ||
| CHANGELOG.md | ||
| cliff.toml | ||
| defs.bzl | ||
| flake.lock | ||
| flake.nix | ||
| justfile | ||
| LICENSE | ||
| MODULE.bazel | ||
| MODULE.bazel.lock | ||
| NOTICE | ||
| package.json | ||
| pnpm-lock.yaml | ||
| pnpm-workspace.yaml | ||
| rbe.bzl | ||
| README.md | ||
| SECURITY.md | ||
npm i -g @openai/codex
or brew install --cask codex
Codex CLI is a coding agent from OpenAI that runs locally on your computer.
If you want Codex in your code editor (VS Code, Cursor, Windsurf), install in your IDE.
If you want the desktop app experience, run
codex app or visit the Codex App page.
If you are looking for the cloud-based agent from OpenAI, Codex Web, go to chatgpt.com/codex.
Quickstart
Installing and running Codex CLI
Install globally with your preferred package manager:
# Install using npm
npm install -g @openai/codex
# Install using Homebrew
brew install --cask codex
Then simply run codex to get started.
You can also go to the latest GitHub Release and download the appropriate binary for your platform.
Each GitHub Release contains many executables, but in practice, you likely want one of these:
- macOS
- Apple Silicon/arm64:
codex-aarch64-apple-darwin.tar.gz - x86_64 (older Mac hardware):
codex-x86_64-apple-darwin.tar.gz
- Apple Silicon/arm64:
- Linux
- x86_64:
codex-x86_64-unknown-linux-musl.tar.gz - arm64:
codex-aarch64-unknown-linux-musl.tar.gz
- x86_64:
Each archive contains a single entry with the platform baked into the name (e.g., codex-x86_64-unknown-linux-musl), so you likely want to rename it to codex after extracting it.
Using Codex with your ChatGPT plan
Run codex and select Sign in with ChatGPT. We recommend signing into your ChatGPT account to use Codex as part of your Plus, Pro, Team, Edu, or Enterprise plan. Learn more about what's included in your ChatGPT plan.
You can also use Codex with an API key, but this requires additional setup.
Docs
This repository is licensed under the Apache-2.0 License.