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Rasmus Rygaard
5378cccd8a
## Why This prepares feedback log capture for a future remote app-server hook sink without changing the current local SQLite upload path. The important boundary is now intentionally small: a log sink is a tracing `Layer` that can also flush entries it has accepted. That keeps the existing SQLite implementation simple while giving the upcoming gRPC sink a place to fit beside it. SQLite and gRPC have different worker/write semantics, so this PR avoids introducing a shared buffered-sink abstraction and instead lets each `LogWriter` own the buffering mechanics it needs. ## What Changed - Added `LogSinkQueueConfig` with the existing local defaults: queue capacity `512`, batch size `128`, and flush interval `2s`. - Added `LogDbLayer::start_with_config(...)` while preserving `LogDbLayer::start(...)` and `log_db::start(...)` defaults. - Introduced the `LogWriter` trait as the minimal shared interface: `tracing_subscriber::Layer` plus `flush()`. - Made `LogDbLayer` implement `LogWriter`. - Kept tracing event formatting inside `LogDbLayer`; it still creates one `LogEntry` per tracing event before queueing it for SQLite. - Kept normal event capture best-effort and non-blocking via bounded `try_send`. ## Behavior Notes This does not change the SQLite schema, retention behavior, `/feedback/upload`, or Sentry upload behavior. Normal log events still drop when the queue is full; explicit `flush()` still waits for queue capacity and receiver processing before returning. ## Verification - `cargo test -p codex-state log_db` - `cargo test -p codex-state` - `just fix -p codex-state` The added tests cover configured batch-size flushing, configured interval flushing, queue-full drops, and the flush barrier semantics.
5378cccd8a
·
2026-04-24 16:27:39 -07:00
5,795 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.
Docs
This repository is licensed under the Apache-2.0 License.