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Felipe Coury
359e17a852
## TL;DR
- Fetches account/rateLimits/read asynchronously so the TUI can continue
starting without waiting for the rate-limit response.
- Fixes the /status card so it no longer leaves a stale “refreshing
cached limits...” notice in terminal history.
## Problem
The TUI bootstrap path fetched account rate limits synchronously
(`account/rateLimits/read`) before the event loop started for
ChatGPT/OpenAI-authenticated startups. This added ~670 ms of blocking
latency in the measured hot-start case, even though rate-limit data is
not needed to render the initial UI or accept user input. The delay was
especially noticeable on hot starts where every other RPC
(`account/read`, `model/list`, `thread/start`) completed in under 70 ms
total.
Moving that fetch to the background also exposed a `/status` UI bug: the
status card is flattened into terminal scrollback when it is inserted. A
transient "refreshing limits in background..." line could not be cleared
later, because the async completion updated the retained `HistoryCell`,
not the already-written terminal history.
## Mental model
Before this change, `AppServerSession::bootstrap()` performed three
sequential RPCs: `account/read` → `model/list` →
`account/rateLimits/read`. The result of the third call was baked into
`AppServerBootstrap` and applied to the chat widget before the event
loop began.
After this change, `bootstrap()` only performs two RPCs (`account/read`
+ `model/list`), and rate-limit fetching is kicked off as an async
background task immediately after the first frame is scheduled. A new
enum, `RateLimitRefreshOrigin`, tags each fetch so the event handler
knows whether the result came from the startup prefetch or from a
user-initiated `/status` command; they have different completion
side-effects.
The `get_login_status()` helper (used outside the main app flow) was
also decoupled: it previously called the full `bootstrap()` just to
check auth mode, wasting model-list and rate-limit work. It now calls
the narrower `read_account()` directly.
For `/status`, this PR keeps the background refresh request but stops
printing transient refresh notices into status history when cached
limits are already available. If a refresh updates the cache, the next
`/status` command will render the new values.
## Non-goals
- This change does not alter the rate-limit data itself.
- This change does not introduce caching, retries, or staleness
management for rate limits.
- This change does not affect the `model/list` or `thread/start` RPCs;
they remain on the critical startup path.
## Tradeoffs
- **Stale-on-first-render**: The status bar will briefly show no
rate-limit info until the background fetch completes; observed
background fetches landed roughly in the 400-900 ms range after the UI
appeared. This is acceptable because the user cannot meaningfully act on
rate-limit data in the first fraction of a second.
- **Error silence on startup prefetch**: If the startup prefetch fails,
the error is logged but the UI is not notified (unlike `/status` refresh
failures, which go through the status-command completion path). This
avoids surfacing transient network errors as a startup blocker.
- **Static `/status` history**: `/status` output is terminal history,
not a live widget. The card now avoids progress-style language that
would appear stuck in scrollback; users can run `/status` again to see
newly cached values.
- **`account_auth_mode` field removed from `AppServerBootstrap`**: The
only consumer was `get_login_status()`, which no longer goes through
`bootstrap()`. The field was dead weight.
## Architecture
### New types
- `RateLimitRefreshOrigin` (in `app_event.rs`): A `Copy` enum
distinguishing `StartupPrefetch` from `StatusCommand { request_id }`.
Carried through `RefreshRateLimits` and `RateLimitsLoaded` events so the
handler applies the right completion behavior.
### Modified types
- `AppServerBootstrap`: Lost `account_auth_mode` and
`rate_limit_snapshots`; gained `requires_openai_auth: bool` (passed
through from the account response so the caller can decide whether to
fire the prefetch).
### Control flow
1. `bootstrap()` returns with `requires_openai_auth` and
`has_chatgpt_account`.
2. After scheduling the first frame, `App::run_inner` fires
`refresh_rate_limits(StartupPrefetch)` if both flags are true.
3. When `RateLimitsLoaded { StartupPrefetch, Ok(..) }` arrives,
snapshots are applied and a frame is scheduled to repaint the status
bar.
4. When `RateLimitsLoaded { StartupPrefetch, Err(..) }` arrives, the
error is logged and no UI update occurs.
5. `/status`-initiated refreshes continue to use `StatusCommand {
request_id }` and call `finish_status_rate_limit_refresh` on completion
(success or failure).
6. `/status` history cells with cached rate-limit rows no longer render
an additional "refreshing limits" notice; the async refresh updates the
cache for future status output.
### Extracted method
- `AppServerSession::read_account()`: Factored out of `bootstrap()` so
that `get_login_status()` can call it independently without triggering
model-list or rate-limit work.
## Observability
- The existing `tracing::warn!` for rate-limit fetch failures is
preserved for the startup path.
- No new metrics or spans are introduced. The startup-time improvement
is observable via the existing `ready` timestamp in TUI startup logs.
## Tests
- Existing tests in `status_command_tests.rs` are updated to match on
`RateLimitRefreshOrigin::StatusCommand { request_id }` instead of a bare
`request_id`.
- Focused `/status` tests now assert that status history avoids
transient refresh text, continues to request an async refresh, and uses
refreshed cached limits in future status output.
- No new tests are added for the startup prefetch path because it is a
fire-and-forget spawn with no observable side-effect other than the
widget state update, which is already covered by the
snapshot-application tests.
---------
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
359e17a852
·
2026-04-07 22:16:09 -03:00
5,164 Commits
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, 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.
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This repository is licensed under the Apache-2.0 License.