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## Summary - keep pending steered input buffered until the active user prompt has received a model response - keep steering pending across auto-compact when there is real model/tool continuation to resume - allow queued steering to follow compaction immediately when the prior model response was already final - keep pending-input follow-up owned by `run_turn` instead of folding it into `SamplingRequestResult` - add regression coverage for mid-turn compaction, final-response compaction, and compaction triggered before the next request after tool output ## Root Cause Steered input was drained at the top of every `run_turn` loop. After auto-compaction, the loop continued and immediately appended any pending steer after the compact summary, making a queued prompt look like the newest task instead of letting the model first resume interrupted model/tool work. ## Implementation Notes This patch keeps the follow-up signals separated: - `SamplingRequestResult.needs_follow_up` means model/tool continuation is needed - `sess.has_pending_input().await` means queued user steering exists - `run_turn` computes the combined loop condition from those two signals In `run_turn`: ```rust let has_pending_input = sess.has_pending_input().await; let needs_follow_up = model_needs_follow_up || has_pending_input; ``` After auto-compact we choose whether the next request may drain steering: ```rust can_drain_pending_input = !model_needs_follow_up; ``` That means: - model/tool continuation + pending steer: compact -> resume once without draining steer - completed model answer + pending steer: compact -> drain/send the steer immediately - fresh user prompt: do not drain steering before the model has answered the prompt once The drain is still only `sess.get_pending_input().await`; when `can_drain_pending_input` is false, core uses an empty local vec and leaves the steer pending in session state. ## Validation - PASS `cargo test -p codex-core --test all steered_user_input -- --nocapture` - PASS `just fmt` - PASS `git diff --check` - NOT PASSING HERE `just fix -p codex-core` currently stops before linting this change on an unrelated mainline test-build error: `core/src/tools/spec_tests.rs` initializes `ToolsConfigParams` without `image_generation_tool_auth_allowed`; this PR does not touch that file.
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.