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## Summary This PR unifies rollout history reconstruction and resume/fork metadata hydration under a single `Session::reconstruct_history_from_rollout` implementation. The key change from main is that replay metadata now comes from the same reconstruction pass that rebuilds model-visible history, instead of doing a second bespoke rollout scan to recover `previous_model` / `reference_context_item`. ## What Changed ### Unified reconstruction output `reconstruct_history_from_rollout` now returns a single `RolloutReconstruction` bundle containing: - rebuilt `history` - `previous_model` - `reference_context_item` Resume and fork both consume that shared output directly. ### Reverse replay core The reconstruction logic moved into `codex-rs/core/src/codex/rollout_reconstruction.rs` and now scans rollout items newest-to-oldest. That reverse pass: - derives `previous_model` - derives whether `reference_context_item` is preserved or cleared - stops early once it has both resume metadata and a surviving `replacement_history` checkpoint History materialization is still bridged eagerly for now by replaying only the surviving suffix forward, which keeps the history result stable while moving the control flow toward the future lazy reverse loader design. ### Removed bespoke context lookup This deletes `last_rollout_regular_turn_context_lookup` and its separate compaction-aware scan. The previous model / baseline metadata is now computed from the same replay state that rebuilds history, so resume/fork cannot drift from the reconstructed transcript view. ### `TurnContextItem` persistence contract `TurnContextItem` is now treated as the replay source of truth for durable model-visible baselines. This PR keeps the following contract explicit: - persist `TurnContextItem` for the first real user turn so resume can recover `previous_model` - persist it for later turns that emit model-visible context updates - if mid-turn compaction reinjects full initial context into replacement history, persist a fresh `TurnContextItem` after `Compacted` so resume/fork can re-establish the baseline from the rewritten history - do not treat manual compaction or pre-sampling compaction as creating a new durable baseline on their own ## Behavior Preserved - rollback replay stays aligned with `drop_last_n_user_turns` - rollback skips only user turns - incomplete active user turns are dropped before older finalized turns when rollback applies - unmatched aborts do not consume the current active turn - missing abort IDs still conservatively clear stale compaction state - compaction clears `reference_context_item` until a later `TurnContextItem` re-establishes it - `previous_model` still comes from the newest surviving user turn that established one ## Tests Targeted validation run for the current branch shape: - `cd codex-rs && cargo test -p codex-core --lib codex::rollout_reconstruction_tests -- --nocapture` - `cd codex-rs && just fmt` The branch also extracts the rollout reconstruction tests into `codex-rs/core/src/codex/rollout_reconstruction_tests.rs` so this logic has a dedicated home instead of living inline in `codex.rs`.
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, 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.