90f37e8549
The transcript viewport draws every frame. Ratatui's Line::render_ref does grapheme segmentation and span layout, so repeated redraws can burn CPU during streaming even when the visible transcript hasn't changed. Introduce TranscriptViewCache to reduce per-frame work: - WrappedTranscriptCache memoizes flattened+wrapped transcript lines per width, appends incrementally as new cells arrive, and rebuilds on width change, truncation (backtrack), or transcript replacement. - TranscriptRasterCache caches rasterized rows (Vec<Cell>) per line index and user-row styling; redraws copy cells instead of rerendering spans. The caches are width-scoped and store base transcript content only; selection highlighting and copy affordances are applied after drawing. User rows include the row-wide base style in the cached raster. Refactor transcript_render to expose append_wrapped_transcript_cell for incremental building and add a test that incremental append matches the full build. Add docs/tui2/performance-testing.md as a playbook for macOS sample profiles and hotspot greps. Expand transcript_view_cache tests to cover rebuild conditions, raster equivalence vs direct rendering, user-row caching, and eviction. Test: cargo test -p codex-tui2
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 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.