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Shijie Rao
df1199fddb
## Why Ultra should be one user-facing reasoning selection for work that benefits from both maximum reasoning and proactive multi-agent delegation. Without it, clients must coordinate maximum reasoning with the experimental `multiAgentMode` setting, even though the inference backend still expects its existing `max` effort value. This change makes reasoning effort the source of truth: clients select `ultra`, core derives proactive multi-agent behavior when the turn is eligible for multi-agent V2, and inference requests continue to use the backend-compatible `max` value. ## What changed - Add `ultra` as a first-class reasoning effort and preserve model-catalog ordering when exposing it to clients. - Convert `ultra` to `max` at the inference request boundary, including Responses HTTP/WebSocket requests, startup prewarm, compaction, and memory summarization. - Derive effective multi-agent mode per turn from effective reasoning effort: - eligible multi-agent V2 + `ultra` → `proactive` - eligible multi-agent V2 + any other effort → `explicitRequestOnly` - V1 or otherwise ineligible sessions → no multi-agent mode instruction - Keep the derived effective mode in turn context history so successive turns can emit a developer-message update only when the effective mode changes. - Remove selected multi-agent mode from core session configuration, turn construction, thread settings, resume/fork restoration, and subagent spawn plumbing. Subagents inherit reasoning effort and derive their own effective mode. - Retain the experimental app-server `multiAgentMode` fields for wire compatibility while marking them deprecated. Request values are accepted but ignored; compatibility response fields report `explicitRequestOnly`. - Display Ultra in the TUI using the order supplied by `model/list`. ## Validation - `just test -p codex-core ultra_reasoning_uses_max_for_requests` - `just test -p codex-tui model_reasoning_selection_popup`
df1199fddb
·
2026-06-24 20:13:52 -07:00
7,829 Commits
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
Run the following on Mac or Linux to install Codex CLI:
curl -fsSL https://chatgpt.com/codex/install.sh | sh
Run the following on Windows to install Codex CLI:
powershell -ExecutionPolicy ByPass -c "irm https://chatgpt.com/codex/install.ps1 | iex"
Codex CLI can also be installed via the following package managers:
# 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, Business, 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.