Also, simplify the streaming behavior.
This fixes a number of display issues with streaming markdown, and paves
the way for better markdown features (e.g. customizable styles, syntax
highlighting, markdown-aware wrapping).
Not currently supported:
- footnotes
- tables
- reference-style links
This PR improves two existing auth-related tests. They were failing when
run in an environment where an `OPENAI_API_KEY` env variable was
defined. The change makes them more resilient.
# External (non-OpenAI) Pull Request Requirements
Before opening this Pull Request, please read the "Contributing" section
of the README or your PR may be closed:
https://github.com/openai/codex#contributing
If your PR conforms to our contribution guidelines, replace this text
with a detailed and high quality description of your changes.
This PR adds an `images` field to the existing `UserMessageEvent` so we
can encode zero or more images associated with a user message. This
allows images to be restored when conversations are restored.
Model providers like Groq, Openrouter, AWS Bedrock, VertexAI and others
typically prefix the name of gpt-oss models with `openai`, e.g.
`openai/gpt-oss-120b`.
This PR is to match the model name slug using `contains` instead of
`starts_with` to ensure that the `apply_patch` tool is included in the
tools for models names like `openai/gpt-oss-120b`
Without this, the gpt-oss models will often try to call the
`apply_patch` tool directly instead of via the `shell` command, leading
to validation errors.
I have run all the local checks.
Note: The gpt-oss models from non-Ollama providers are typically run via
a profile with a different base_url (instead of with the `--oss` flag)
---------
Co-authored-by: Andrew Tan <andrewtan@Andrews-Mac.local>
The previous config approach had a few issues:
1. It is part of the config but not designed to be used externally
2. It had to be wired through many places (look at the +/- on this PR
3. It wasn't guaranteed to be set consistently everywhere because we
don't have a super well defined way that configs stack. For example, the
extension would configure during newConversation but anything that
happened outside of that (like login) wouldn't get it.
This env var approach is cleaner and also creates one less thing we have
to deal with when coming up with a better holistic story around configs.
One downside is that I removed the unit test testing for the override
because I don't want to deal with setting the global env or spawning
child processes and figuring out how to introspect their originator
header. The new code is sufficiently simple and I tested it e2e that I
feel as if this is still worth it.
It was hard for me to read the expected lines as a `["one", "two",
"three"]` array, maybe not so hard for the model but probably not having
to un-escape in its head would help it out :)
Co-authored-by: Codex <199175422+chatgpt-codex-connector[bot]@users.noreply.github.com>
I verified that the output of `protocol-ts$ cargo run` is unchanged by
removing this line..
Added a comment on `ServerNotification` with justification to make this
clear.
This commit adds a re-export for InitialHistory from the internal
conversation_manager module in codex-core's lib.rs.
The `RolloutRecorder::get_rollout_history` method (exposed via `pub use
rollout::RolloutRecorder;`, already present in lib.rs) returns an
`InitialHistory` type, which is defined in the private
conversation_manager module. Without this re-export, consumers of the
public RolloutRecorder API would not be able to directly use the return
type, as they cannot access the private module. This would result in an
inconvenient experience where the method's return value cannot be
handled without additional, non-obvious imports.
By adding `pub use conversation_manager::InitialHistory;`, we make
InitialHistory available as `codex_core::InitialHistory`, improving API
ergonomics for users of the rollout functionality while keeping the
conversation_manager module internal.
No functional changes are made; this is a pure re-export for better
usability.
Signed-off-by: M4n5ter <m4n5terrr@gmail.com>
Adds support for `ArchiveConversation` in the JSON-RPC server that takes
a `(ConversationId, PathBuf)` pair and:
- verifies the `ConversationId` corresponds to the rollout id at the
`PathBuf`
- if so, invokes
`ConversationManager.remove_conversation(ConversationId)`
- if the `CodexConversation` was in memory, send `Shutdown` and wait for
`ShutdownComplete` with a timeout
- moves the `.jsonl` file to `$CODEX_HOME/archived_sessions`
---------
Co-authored-by: Gabriel Peal <gabriel@openai.com>
Adding the `rollout_path` to the `NewConversationResponse` makes it so a
client can perform subsequent operations on a `(ConversationId,
PathBuf)` pair. #3353 will introduce support for `ArchiveConversation`.
---
[//]: # (BEGIN SAPLING FOOTER)
Stack created with [Sapling](https://sapling-scm.com). Best reviewed
with [ReviewStack](https://reviewstack.dev/openai/codex/pull/3352).
* #3353
* __->__ #3352
I started looking at https://nexte.st/ because I was interested in a
test harness that lets a test dynamically declare itself "skipped,"
which would be a nice alternative to this pattern:
4c46490e53/codex-rs/core/tests/suite/cli_stream.rs (L22-L27)
ChatGPT pointed me at https://nexte.st/, which also claims to be "up to
3x as fast as cargo test." Locally, in `codex-rs`, I see
- `cargo nextest run` finishes in 19s
- `cargo test` finishes in 37s
Though looking at CI, the wins are quite as big, presumably because my
laptop has more cores than our GitHub runners (which is a separate
issue...). Comparing the [CI jobs from this
PR](https://github.com/openai/codex/actions/runs/17561325162/job/49878216246?pr=3323)
with that of a [recent open
PR](https://github.com/openai/codex/actions/runs/17561066581/job/49877342753?pr=3321):
| | `cargo test` | `cargo nextest` |
| ----------------------------------------------- | ------------ |
--------------- |
| `macos-14 - aarch64-apple-darwin` | 2m16s | 1m51s |
| `macos-14 - aarch64-apple-darwin` | 5m04s | 3m44s |
| `ubuntu-24.04 - x86_64-unknown-linux-musl` | 2m02s | 1m56s |
| `ubuntu-24.04-arm - aarch64-unknown-linux-musl` | 2m01s | 1m35s |
| `windows-latest - x86_64-pc-windows-msvc` | 3m07s | 2m53s |
| `windows-11-arm - aarch64-pc-windows-msvc` | 3m10s | 2m45s |
I thought that, to start, we would only make this change in CI before
declaring it the "official" way for the team to run the test suite.
Though unfortunately, I do not believe that `cargo nextest` _actually_
supports a dynamic skip feature, so I guess I'll have to keep looking?
Some related discussions:
- https://internals.rust-lang.org/t/pre-rfc-skippable-tests/14611
- https://internals.rust-lang.org/t/skippable-tests/21260
## Session snapshot
For POSIX shell, the goal is to take a snapshot of the interactive shell
environment, store it in a session file located in `.codex/` and only
source this file for every command that is run.
As a result, if a snapshot files exist, `bash -lc <CALL>` get replaced
by `bash -c <CALL>`.
This also fixes the issue that `bash -lc` does not source `.bashrc`,
resulting in missing env variables and aliases in the codex session.
## POSIX unification
Unify `bash` and `zsh` shell into a POSIX shell. The rational is that
the tool will not use any `zsh` specific capabilities.
---------
Co-authored-by: Michael Bolin <mbolin@openai.com>
* Clarify how the shell's handling of quotes affects the interpretation
of TOML values in `--config`/`-c`
* Provide examples of the right way to pass complex TOML values
* The previous explanation incorrectly demonstrated how to pass TOML
values to `--config`/`-c` (misunderstanding how the shell’s handling of
quotes affects things) and would result in invalid invocations of
`codex`.
This PR does multiple things that are necessary for conversation resume
to work from the extension. I wanted to make sure everything worked so
these changes wound up in one PR:
1. Generate more ts types
2. Resume rollout history files rather than create a new one every time
it is resumed so you don't see a duplicate conversation in history for
every resume. Chatted with @aibrahim-oai to verify this
3. Return conversation_id in conversation summaries
4. [Cleanup] Use serde and strong types for a lot of the rollout file
parsing
- In the bottom line of the TUI, print the number of tokens to 3 sigfigs
with an SI suffix, e.g. "1.23K".
- Elsewhere where we print a number, I figure it's worthwhile to print
the exact number, because e.g. it's a summary of your session. Here we print
the numbers comma-separated.
#### Summary
- highlight proposed command previews with the shared bash syntax
highlighter
- keep the Proposed Command section consistent with other execution
renderings
Dependabot tried to automatically upgrade us to `actions/setup-node@v5`
in https://github.com/openai/codex/pull/3293, but it broke our CI. Note
this upgrade has breaking changes:
https://github.com/actions/setup-node/releases/tag/v5.0.0
I think the problem was that `v5` was correctly reading our
`packageManager` line here:
e2b3053b2b/package.json (L24)
and then tried to run `pnpm`, but couldn't because it wasn't available
yet. This PR:
- moves `pnpm/action-setup` before `actions/setup-node`
- drops `version` from our `pnpm/action-setup` step because it is not
necessary when it is specified in `package.json` (which it is in our
case), so leaving it here ran the risk of the two getting out of sync
- upgrades `actions/setup-node` from `v4` to `v5`
- deletes the two custom steps we had to enable Node.js caching since
`v5` claims to do this for us now
- adds `--frozen-lockfile` to our `pnpm install` invocation, which
seemed like something we should have always had there
• I have signed the CLA by commenting the required sentence and
triggered recheck.
• Local checks are all green (fmt / clippy / test).
• Could you please approve the pending GitHub Actions workflows
(first-time contributor), and when convenient, help with one approving
review so I can proceed? Thanks!
## Summary
- Catch and log task panics during server initialization instead of
propagating JoinError
- Handle tool listing failures gracefully, allowing partial server
initialization
- Improve error resilience on macOS where init timeouts are more common
## Test plan
- [x] Test MCP server initialization with timeout scenarios
- [x] Verify graceful handling of tool listing failures
- [x] Confirm improved error messages and logging
- [x] Test on macOS
## Fix issue #3196#2346#2555
### fix before:
<img width="851" height="363" alt="image"
src="https://github.com/user-attachments/assets/e1f9c749-71fd-4873-a04f-d3fc4cbe0ae6"
/>
<img width="775" height="108" alt="image"
src="https://github.com/user-attachments/assets/4e4748bd-9dd6-42b5-b38b-8bfe9341a441"
/>
### fix improved:
<img width="966" height="528" alt="image"
src="https://github.com/user-attachments/assets/418324f3-e37a-4a3c-8bdd-934f9ff21dfb"
/>
---------
Co-authored-by: Michael Bolin <mbolin@openai.com>
Bumps [image](https://github.com/image-rs/image) from 0.25.6 to 0.25.8.
<details>
<summary>Changelog</summary>
<p><em>Sourced from <a
href="https://github.com/image-rs/image/blob/v0.25.8/CHANGES.md">image's
changelog</a>.</em></p>
<blockquote>
<h3>Version 0.25.8</h3>
<p>Re-release of <code>0.25.7</code></p>
<p>Fixes:</p>
<ul>
<li>Reverted a signature change to <code>load_from_memory</code> that
lead to large scale
type inference breakage despite being technically compatible.</li>
<li>Color conversion Luma to Rgb used incorrect coefficients instead of
broadcasting.</li>
</ul>
<h3>Version 0.25.7 (yanked)</h3>
<p>Features:</p>
<ul>
<li>Added an API for external image format implementations to register
themselves as decoders for a specific format in <code>image</code> (<a
href="https://redirect.github.com/image-rs/image/issues/2372">#2372</a>)</li>
<li>Added <a
href="https://www.color.org/iccmax/download/CICP_tag_and_type_amendment.pdf">CICP</a>
awarenes via <a href="https://crates.io/crates/moxcms">moxcms</a> to
support color spaces (<a
href="https://redirect.github.com/image-rs/image/issues/2531">#2531</a>).
The support for transforming is limited for now and will be gradually
expanded.</li>
<li>You can now embed Exif metadata when writing JPEG, PNG and WebP
images (<a
href="https://redirect.github.com/image-rs/image/issues/2537">#2537</a>,
<a
href="https://redirect.github.com/image-rs/image/issues/2539">#2539</a>)</li>
<li>Added functions to extract orientation from Exif metadata and
optionally clear it in the Exif chunk (<a
href="https://redirect.github.com/image-rs/image/issues/2484">#2484</a>)</li>
<li>Serde support for more types (<a
href="https://redirect.github.com/image-rs/image/issues/2445">#2445</a>)</li>
<li>PNM encoder now supports writing 16-bit images (<a
href="https://redirect.github.com/image-rs/image/issues/2431">#2431</a>)</li>
</ul>
<p>API improvements:</p>
<ul>
<li><code>save</code>, <code>save_with_format</code>,
<code>write_to</code> and <code>write_with_encoder</code> methods on
<code>DynamicImage</code> now automatically convert the pixel format
when necessary instead of returning an error (<a
href="https://redirect.github.com/image-rs/image/issues/2501">#2501</a>)</li>
<li>Added <code>DynamicImage::has_alpha()</code> convenience method</li>
<li>Implemented <code>TryFrom<ExtendedColorType></code> for
<code>ColorType</code> (<a
href="https://redirect.github.com/image-rs/image/issues/2444">#2444</a>)</li>
<li>Added <code>const HAS_ALPHA</code> to trait <code>Pixel</code></li>
<li>Unified the error for unsupported encoder colors (<a
href="https://redirect.github.com/image-rs/image/issues/2543">#2543</a>)</li>
<li>Added a <code>hooks</code> module to customize builtin behavior,
<code>register_format_detection_hook</code> and
<code>register_decoding_hook</code> for the determining format of a file
and selecting an <code>ImageDecoder</code> implementation respectively.
(<a
href="https://redirect.github.com/image-rs/image/issues/2372">#2372</a>)</li>
</ul>
<p>Performance improvements:</p>
<ul>
<li>Gaussian blur (<a
href="https://redirect.github.com/image-rs/image/issues/2496">#2496</a>)
and box blur (<a
href="https://redirect.github.com/image-rs/image/issues/2515">#2515</a>)
are now faster</li>
<li>Improve compilation times by avoiding unnecessary instantiation of
generic functions (<a
href="https://redirect.github.com/image-rs/image/issues/2468">#2468</a>,
<a
href="https://redirect.github.com/image-rs/image/issues/2470">#2470</a>)</li>
</ul>
<p>Bug fixes:</p>
<ul>
<li>Many improvements to image format decoding: TIFF, WebP, AVIF, PNG,
GIF, BMP, TGA</li>
<li>Fixed <code>GifEncoder::encode()</code> ignoring the speed parameter
and always using the slowest speed (<a
href="https://redirect.github.com/image-rs/image/issues/2504">#2504</a>)</li>
<li><code>.pnm</code> is now recognized as a file extension for the PNM
format (<a
href="https://redirect.github.com/image-rs/image/issues/2559">#2559</a>)</li>
</ul>
</blockquote>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="98b001da0d"><code>98b001d</code></a>
Merge pull request <a
href="https://redirect.github.com/image-rs/image/issues/2592">#2592</a>
from image-rs/release-0.25.8</li>
<li><a
href="f86232081c"><code>f862320</code></a>
Metadata and changelog for a 0.25.8</li>
<li><a
href="3b1c1db11d"><code>3b1c1db</code></a>
Merge pull request <a
href="https://redirect.github.com/image-rs/image/issues/2593">#2593</a>
from image-rs/luma-to-rgb-transform-is-broadcast</li>
<li><a
href="1f574d3d1e"><code>1f574d3</code></a>
Replace manual rounding code with f32::round</li>
<li><a
href="545cb3788b"><code>545cb37</code></a>
Color tests in the middle of dynamic range</li>
<li><a
href="9882fa9fe0"><code>9882fa9</code></a>
Remove coefficients from luma_expand</li>
<li><a
href="70b9aa3ef1"><code>70b9aa3</code></a>
Revert "Make load_from_memory generic"</li>
<li><a
href="b94c33379f"><code>b94c333</code></a>
Enable CI for backport branch</li>
<li><a
href="a24556bc87"><code>a24556b</code></a>
Merge pull request <a
href="https://redirect.github.com/image-rs/image/issues/2581">#2581</a>
from image-rs/release-0.25.7</li>
<li><a
href="9175dbc70e"><code>9175dbc</code></a>
Fix readme typo (<a
href="https://redirect.github.com/image-rs/image/issues/2580">#2580</a>)</li>
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Bumps [clap](https://github.com/clap-rs/clap) from 4.5.45 to 4.5.47.
<details>
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<p><em>Sourced from <a
href="https://github.com/clap-rs/clap/releases">clap's
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<blockquote>
<h2>v4.5.47</h2>
<h2>[4.5.47] - 2025-09-02</h2>
<h3>Features</h3>
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<li>Added <code>impl Args for ()</code></li>
<li>Added <code>impl Subcommand for ()</code></li>
<li>Added <code>impl FromArgMatches for Infallible</code></li>
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</ul>
<h3>Fixes</h3>
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</ul>
<h2>v4.5.46</h2>
<h2>[4.5.46] - 2025-08-26</h2>
<h3>Features</h3>
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<h3>Features</h3>
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<li>Added <code>impl Args for ()</code></li>
<li>Added <code>impl Subcommand for ()</code></li>
<li>Added <code>impl FromArgMatches for Infallible</code></li>
<li>Added <code>impl Subcommand for Infallible</code></li>
</ul>
<h3>Fixes</h3>
<ul>
<li><em>(derive)</em> Update runtime error text to match
<code>clap</code></li>
</ul>
<h2>[4.5.46] - 2025-08-26</h2>
<h3>Features</h3>
<ul>
<li>Expose <code>StyledStr::push_str</code></li>
</ul>
</blockquote>
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Merge pull request <a
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from krobelus/option-name-completions-after-positionals</li>
<li><a
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fix(complete): Missing options in multi-val arg</li>
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test(complete): Multi-valued, unbounded positional</li>
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refactor(complete): Extract function for options</li>
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Seeing timeouts on certain, slow mcp server starting up when codex is
invoked. Before this change, the timeout was a hard-coded 10s. Need the
ability to define arbitrary timeouts on a per-server basis.
## Summary of changes
- Add startup_timeout_ms to McpServerConfig with 10s default when unset
- Use per-server timeout for initialize and tools/list
- Introduce ManagedClient to store client and timeout; rename
LIST_TOOLS_TIMEOUT to DEFAULT_STARTUP_TIMEOUT
- Update docs to document startup_timeout_ms with example and options
table
---------
Co-authored-by: Matthew Dolan <dolan-openai@users.noreply.github.com>
We're trying to migrate from `session_id: Uuid` to `conversation_id:
ConversationId`. Not only does this give us more type safety but it
unifies our terminology across Codex and with the implementation of
session resuming, a conversation (which can span multiple sessions) is
more appropriate.
I started this impl on https://github.com/openai/codex/pull/3219 as part
of getting resume working in the extension but it's big enough that it
should be broken out.
This updates the ctrl + c behavior to clear the current prompt if there
is text and you press ctrl + c.
I also updated the ctrl + c hint text to show `^c to interrupt` instead
of `^c to quit` if there is an active conversation.
Two things I don't love:
1. You can currently interrupt a conversation with escape or ctrl + c
(not related to this PR and maybe fine)
2. The bottom row hint text always says `^c to quit` but this PR doesn't
really make that worse.
https://github.com/user-attachments/assets/6eddadec-0d84-4fa7-abcb-d6f5a04e5748
Fixes https://github.com/openai/codex/issues/3126
No more picking out version numbers by hand! Now we let the script do
it:
```
$ ./codex-rs/scripts/create_github_release --dry-run --publish-alpha
Running gh api GET /repos/openai/codex/releases/latest
Running gh api GET /repos/openai/codex/releases?per_page=100
Publishing version 0.31.0-alpha.3
$ ./codex-rs/scripts/create_github_release --dry-run --publish-release
Running gh api GET /repos/openai/codex/releases/latest
Publishing version 0.31.0
```
---
[//]: # (BEGIN SAPLING FOOTER)
Stack created with [Sapling](https://sapling-scm.com). Best reviewed
with [ReviewStack](https://reviewstack.dev/openai/codex/pull/3230).
* __->__ #3231
* #3230
* #3228
* #3226
What
- Show compact elapsed time in the TUI status indicator: Xs, MmSSs,
HhMMmSSs.
- Add private helper fmt_elapsed_compact with a unit test.
Why
- Seconds‑only becomes hard to read during longer runs; minutes/hours
improve clarity without extra noise.
How
- Implemented in codex-rs/tui/src/status_indicator_widget.rs only.
- The helper is used when rendering the existing “Working/Thinking”
timer.
- No changes to codex-common::elapsed::format_duration or other crates.
Scope/Impact
- TUI‑only; no public API changes; minimal risk.
- Snapshot tests should remain unchanged (most show “0s”).
Before/After
- Working (65s • Esc to interrupt) → Working (1m05s • Esc to interrupt)
- Working (3723s • …) → Working (1h02m03s • …)
Tests
- Unit: fmt_elapsed_compact_formats_seconds_minutes_hours.
- Local checks: cargo fmt --all, cargo clippy -p codex-tui -- -D
warnings, cargo test -p codex-tui.
Notes
- Open to adjusting the exact format or moving the helper if maintainers
prefer a shared location.
Signed-off-by: Enrique Moreno Tent <enriquemorenotent@gmail.com>
This PR addresses an issue that several users have reported. If the
local oauth login server in one codex instance is left running (e.g. the
user abandons the oauth flow), a subsequent codex instance will receive
an error when attempting to log in because the localhost port is already
in use by the dangling web server from the first instance.
This PR adds a cancelation mechanism that the second instance can use to
abort the first login attempt and free up the port.
When item ids are sent to Responses API it will load them from the
database ignoring the provided values. This adds extra latency.
Not having the mode to store requests also allows us to simplify the
code.
## Breaking change
The `disable_response_storage` configuration option is removed.
i'm not yet convinced i have the best heuristics for what to highlight,
but this feels like a useful step towards something a bit easier to
read, esp. when the model is producing large commands.
<img width="669" height="589" alt="Screenshot 2025-09-03 at 8 21 56 PM"
src="https://github.com/user-attachments/assets/b9cbcc43-80e8-4d41-93c8-daa74b84b331"
/>
also a fairly significant refactor of our line wrapping logic.
TuiEvent is supposed to be purely events that come from the "driver",
i.e. events from the terminal. Everything app-specific should be an
AppEvent. In this case, it didn't need to be an event at all.
This PR introduces introduces a new
`OutgoingMessage::AppServerNotification` variant that is designed to
wrap a `ServerNotification`, which makes the serialization more
straightforward compared to
`OutgoingMessage::Notification(OutgoingNotification)`. We still use the
latter for serializing an `Event` as a `JSONRPCMessage::Notification`,
but I will try to get away from that in the near future.
With this change, now the generated TypeScript type for
`ServerNotification` is:
```typescript
export type ServerNotification =
| { "method": "authStatusChange", "params": AuthStatusChangeNotification }
| { "method": "loginChatGptComplete", "params": LoginChatGptCompleteNotification };
```
whereas before it was:
```typescript
export type ServerNotification =
| { type: "auth_status_change"; data: AuthStatusChangeNotification }
| { type: "login_chat_gpt_complete"; data: LoginChatGptCompleteNotification };
```
Once the `Event`s are migrated to the `ServerNotification` enum in Rust,
it should be considerably easier to work with notifications on the
TypeScript side, as it will be possible to `switch (message.method)` and
check for exhaustiveness.
Though we will probably need to introduce:
```typescript
export type ServerMessage = ServerRequest | ServerNotification;
```
and then we still need to group all of the `ServerResponse` types
together, as well.
#### Summary
- Emit a “Proposed Command” history cell when an ExecApprovalRequest
arrives (parity with proposed patches).
- Simplify the approval dialog: show only the reason/instructions; move
the command preview into history.
- Make approval/abort decision history concise:
- Single line snippet; if multiline, show first line + " ...".
- Truncate to 80 graphemes with ellipsis for very long commands.
#### Details
- History
- Add `new_proposed_command` to render a header and indented command
preview.
- Use shared `prefix_lines` helper for first/subsequent line prefixes.
- Approval UI
- `UserApprovalWidget` no longer renders the command in the modal; shows
optional `reason` text only.
- Decision history renders an inline, dimmed snippet per rules above.
- Tests (snapshot-based)
- Proposed/decision flow for short command.
- Proposed multi-line + aborted decision snippet with “ ...”.
- Very long one-line command -> truncated snippet with “…”.
- Updated existing exec approval snapshots and test reasons.
<img width="1053" height="704" alt="Screenshot 2025-09-03 at 11 57
35 AM"
src="https://github.com/user-attachments/assets/9ed4c316-9daf-4ac1-80ff-7ae1f481dd10"
/>
after approving:
<img width="1053" height="704" alt="Screenshot 2025-09-03 at 11 58
18 AM"
src="https://github.com/user-attachments/assets/a44e243f-eb9d-42ea-87f4-171b3fb481e7"
/>
rejection:
<img width="1053" height="207" alt="Screenshot 2025-09-03 at 11 58
45 AM"
src="https://github.com/user-attachments/assets/a022664b-ae0e-4b70-a388-509208707934"
/>
big command:
https://github.com/user-attachments/assets/2dd976e5-799f-4af7-9682-a046e66cc494
# External (non-OpenAI) Pull Request Requirements
Before opening this Pull Request, please read the dedicated
"Contributing" markdown file or your PR may be closed:
https://github.com/openai/codex/blob/main/docs/contributing.md
If your PR conforms to our contribution guidelines, replace this text
with a detailed and high quality description of your changes.
We had multiple issues with context size calculation:
1. `initial_prompt_tokens` calculation based on cache size is not
reliable, cache misses might set it to much higher value. For now
hardcoded to a safer constant.
2. Input context size for GPT-5 is 272k (that's where 33% came from).
Fixes.
Bumps [uuid](https://github.com/uuid-rs/uuid) from 1.17.0 to 1.18.0.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/uuid-rs/uuid/releases">uuid's
releases</a>.</em></p>
<blockquote>
<h2>v1.18.0</h2>
<h2>What's Changed</h2>
<ul>
<li>Fix up mismatched_lifetime_syntaxes lint by <a
href="https://github.com/KodrAus"><code>@KodrAus</code></a> in <a
href="https://redirect.github.com/uuid-rs/uuid/pull/837">uuid-rs/uuid#837</a></li>
<li>Conversions between <code>Timestamp</code> and
<code>std::time::SystemTime</code> by <a
href="https://github.com/dcormier"><code>@dcormier</code></a> in <a
href="https://redirect.github.com/uuid-rs/uuid/pull/835">uuid-rs/uuid#835</a></li>
<li>Wrap the error type used in time conversions by <a
href="https://github.com/KodrAus"><code>@KodrAus</code></a> in <a
href="https://redirect.github.com/uuid-rs/uuid/pull/838">uuid-rs/uuid#838</a></li>
<li>Prepare for 1.18.0 release by <a
href="https://github.com/KodrAus"><code>@KodrAus</code></a> in <a
href="https://redirect.github.com/uuid-rs/uuid/pull/839">uuid-rs/uuid#839</a></li>
</ul>
<h2>New Contributors</h2>
<ul>
<li><a href="https://github.com/dcormier"><code>@dcormier</code></a>
made their first contribution in <a
href="https://redirect.github.com/uuid-rs/uuid/pull/835">uuid-rs/uuid#835</a></li>
</ul>
<p><strong>Full Changelog</strong>: <a
href="https://github.com/uuid-rs/uuid/compare/v1.17.0...v1.18.0">https://github.com/uuid-rs/uuid/compare/v1.17.0...v1.18.0</a></p>
</blockquote>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="60a49eb94f"><code>60a49eb</code></a>
Merge pull request <a
href="https://redirect.github.com/uuid-rs/uuid/issues/839">#839</a> from
uuid-rs/cargo/v1.18.0</li>
<li><a
href="eb8c697083"><code>eb8c697</code></a>
prepare for 1.18.0 release</li>
<li><a
href="281f26fcd9"><code>281f26f</code></a>
Merge pull request <a
href="https://redirect.github.com/uuid-rs/uuid/issues/838">#838</a> from
uuid-rs/chore/time-conversion</li>
<li><a
href="2d67ab2b5e"><code>2d67ab2</code></a>
don't use allocated values in errors</li>
<li><a
href="c284ed562f"><code>c284ed5</code></a>
wrap the error type used in time conversions</li>
<li><a
href="87a4359f25"><code>87a4359</code></a>
Merge pull request <a
href="https://redirect.github.com/uuid-rs/uuid/issues/835">#835</a> from
dcormier/main</li>
<li><a
href="8927396625"><code>8927396</code></a>
Merge pull request <a
href="https://redirect.github.com/uuid-rs/uuid/issues/837">#837</a> from
uuid-rs/fix/lifetime-syntaxes</li>
<li><a
href="6dfb4b135c"><code>6dfb4b1</code></a>
Conversions between <code>Timestamp</code> and
<code>std::time::SystemTime</code></li>
<li><a
href="b508383aff"><code>b508383</code></a>
fix up mismatched_lifetime_syntaxes lint</li>
<li>See full diff in <a
href="https://github.com/uuid-rs/uuid/compare/v1.17.0...v1.18.0">compare
view</a></li>
</ul>
</details>
<br />
[](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores)
Dependabot will resolve any conflicts with this PR as long as you don't
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You can trigger Dependabot actions by commenting on this PR:
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## Summary
Follow-up to #3056
This PR updates the mcp-server interface for reading the config settings
saved by the user. At risk of introducing _another_ Config struct, I
think it makes sense to avoid tying our protocol to ConfigToml, as its
become a bit unwieldy. GetConfigTomlResponse was a de-facto struct for
this already - better to make it explicit, in my opinion.
This is technically a breaking change of the mcp-server protocol, but
given the previous interface was introduced so recently in #2725, and we
have not yet even started to call it, I propose proceeding with the
breaking change - but am open to preserving the old endpoint.
## Testing
- [x] Added additional integration test coverage
Clarifies codex-rs testing approvals in AGENTS.md:
- Allow running project-specific or individual tests without asking.
- Require asking before running the complete test suite.
- Keep `just fmt` always allowed without approval.
Summary:
- pause the status timer while waiting on approval modals
- expose deterministic pause/resume helpers to avoid sleep-based tests
- simplify bottom pane timer handling now that the widget owns the clock
when the pager is scrolled to the bottom of the buffer, keep it there.
this should make transcript mode feel a bit more "alive". i've also seen
some confusion about what transcript mode does/doesn't show that i think
has been related to it not pinning scroll.
#### Summary
- render the edit queued message shortcut with the ⌥ modifier on macOS
builds
- add a helper for status indicator snapshot suffixes
- record macOS-specific snapshots for the status indicator widget
`rust-lang.rust-analyzer` is clearly something all contributors should
install.
`vadimcn.vscode-lldb` is maybe debatable, but I think this is often
better that print-debugging.
#### Summary
Avoid a potential panic when rendering the active execution cell when
the allocated area has zero height.
#### Changes
- Guard rendering with `active_cell_area.height > 0` and presence of
`active_exec_cell`.
- Use `saturating_add(1)` for the Y offset to avoid overflow.
- Render via `active_exec_cell.as_ref().unwrap().render_ref(...)` after
the explicit `is_some` check.
When serializing to JSON, the existing solution created an enormous
array of ints, which is far more bytes on the wire than a base64-encoded
string would be.
Last week, I thought I found the smoking gun in our flaky integration
tests where holding these locks could have led to potential deadlock:
- https://github.com/openai/codex/pull/2876
- https://github.com/openai/codex/pull/2878
Yet even after those PRs went in, we continued to see flakinees in our
integration tests! Though with the additional logging added as part of
debugging those tests, I now saw things like:
```
read message from stdout: Notification(JSONRPCNotification { jsonrpc: "2.0", method: "codex/event/exec_approval_request", params: Some(Object {"id": String("0"), "msg": Object {"type": String("exec_approval_request"), "call_id": String("call1"), "command": Array [String("python3"), String("-c"), String("print(42)")], "cwd": String("/tmp/.tmpFj2zwi/workdir")}, "conversationId": String("c67b32c5-9475-41bf-8680-f4b4834ebcc6")}) })
notification: Notification(JSONRPCNotification { jsonrpc: "2.0", method: "codex/event/exec_approval_request", params: Some(Object {"id": String("0"), "msg": Object {"type": String("exec_approval_request"), "call_id": String("call1"), "command": Array [String("python3"), String("-c"), String("print(42)")], "cwd": String("/tmp/.tmpFj2zwi/workdir")}, "conversationId": String("c67b32c5-9475-41bf-8680-f4b4834ebcc6")}) })
read message from stdout: Request(JSONRPCRequest { id: Integer(0), jsonrpc: "2.0", method: "execCommandApproval", params: Some(Object {"conversation_id": String("c67b32c5-9475-41bf-8680-f4b4834ebcc6"), "call_id": String("call1"), "command": Array [String("python3"), String("-c"), String("print(42)")], "cwd": String("/tmp/.tmpFj2zwi/workdir")}) })
writing message to stdin: Response(JSONRPCResponse { id: Integer(0), jsonrpc: "2.0", result: Object {"decision": String("approved")} })
in read_stream_until_notification_message(codex/event/task_complete)
[mcp stderr] 2025-09-04T00:00:59.738585Z INFO codex_mcp_server::message_processor: <- response: JSONRPCResponse { id: Integer(0), jsonrpc: "2.0", result: Object {"decision": String("approved")} }
[mcp stderr] 2025-09-04T00:00:59.738740Z DEBUG codex_core::codex: Submission sub=Submission { id: "1", op: ExecApproval { id: "0", decision: Approved } }
[mcp stderr] 2025-09-04T00:00:59.738832Z WARN codex_core::codex: No pending approval found for sub_id: 0
```
That is, a response was sent for a request, but no callback was in place
to handle the response!
This time, I think I may have found the underlying issue (though the
fixes for holding locks for too long may have also been part of it),
which is I found cases where we were sending the request:
234c0a0469/codex-rs/core/src/codex.rs (L597)
before inserting the `Sender` into the `pending_approvals` map (which
has to wait on acquiring a mutex):
234c0a0469/codex-rs/core/src/codex.rs (L598-L601)
so it is possible the request could go out and the client could respond
before `pending_approvals` was updated!
Note this was happening in both `request_command_approval()` and
`request_patch_approval()`, which maps to the sorts of errors we have
been seeing when these integration tests have been flaking on us.
While here, I am also adding some extra logging that prints if inserting
into `pending_approvals` overwrites an entry as opposed to purely
inserting one. Today, a conversation can have only one pending request
at a time, but as we are planning to support parallel tool calls, this
invariant may not continue to hold, in which case we need to revisit
this abstraction.
Adds a TUI resume flow with an interactive picker and quick resume.
- CLI:
- --resume / -r: open picker to resume a prior session
- --continue / -l: resume the most recent session (no picker)
- Behavior on resume: initial history is replayed, welcome banner
hidden, and the first redraw is suppressed to avoid flicker.
- Implementation:
- New tui/src/resume_picker.rs (paginated listing via
RolloutRecorder::list_conversations)
- App::run accepts ResumeSelection; resumes from disk when requested
- ChatWidget refactor with ChatWidgetInit and new_from_existing; replays
initial messages
- Tests: cover picker sorting/preview extraction and resumed-history
rendering.
- Docs: getting-started updated with flags and picker usage.
https://github.com/user-attachments/assets/1bb6469b-e5d1-42f6-bec6-b1ae6debda3b
Bumps [wiremock](https://github.com/LukeMathWalker/wiremock-rs) from
0.6.4 to 0.6.5.
<details>
<summary>Commits</summary>
<ul>
<li><a
href="6b193047bf"><code>6b19304</code></a>
chore: Release wiremock version 0.6.5</li>
<li><a
href="ebaa70b024"><code>ebaa70b</code></a>
feat: Make method and MethodExactMatcher case in-sensitive (<a
href="https://redirect.github.com/LukeMathWalker/wiremock-rs/issues/165">#165</a>)</li>
<li><a
href="613b4f9135"><code>613b4f9</code></a>
Make <code>BodyPrintLimit</code> public (<a
href="https://redirect.github.com/LukeMathWalker/wiremock-rs/issues/167">#167</a>)</li>
<li><a
href="abfafd2227"><code>abfafd2</code></a>
chore: Upgrade all deps to their latest version (<a
href="https://redirect.github.com/LukeMathWalker/wiremock-rs/issues/170">#170</a>)</li>
<li><a
href="60688cfdde"><code>60688cf</code></a>
ci: Upgrade actions. Upgrade dependencies. (<a
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view</a></li>
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This PR does the following:
- divides user msgs into 3 categories: plain, user instructions, and
environment context
- Centralizes adding user instructions and environment context to a
degree
- Improve the integration testing
Building on top of #3123
Specifically this
[comment](https://github.com/openai/codex/pull/3123#discussion_r2319885089).
We need to send the user message while ignoring the User Instructions
and Environment Context we attach.
### Overview
This PR introduces the following changes:
1. Adds a unified mechanism to convert ResponseItem into EventMsg.
2. Ensures that when a session is initialized with initial history, a
vector of EventMsg is sent along with the session configuration. This
allows clients to re-render the UI accordingly.
3. Added integration testing
### Caveats
This implementation does not send every EventMsg that was previously
dispatched to clients. The excluded events fall into two categories:
• “Arguably” rolled-out events
Examples include tool calls and apply-patch calls. While these events
are conceptually rolled out, we currently only roll out ResponseItems.
These events are already being handled elsewhere and transformed into
EventMsg before being sent.
• Non-rolled-out events
Certain events such as TurnDiff, Error, and TokenCount are not rolled
out at all.
### Future Directions
At present, resuming a session involves maintaining two states:
• UI State
Clients can replay most of the important UI from the provided EventMsg
history.
• Model State
The model receives the complete session history to reconstruct its
internal state.
This design provides a solid foundation. If, in the future, more precise
UI reconstruction is needed, we have two potential paths:
1. Introduce a third data structure that allows us to derive both
ResponseItems and EventMsgs.
2. Clearly divide responsibilities: the core system ensures the
integrity of the model state, while clients are responsible for
reconstructing the UI.
In this test, the ChatGPT token path is used, and the auth layer tries
to refresh the token if it thinks the token is “old.” Your helper writes
a fixed last_refresh timestamp that has now aged past the 28‑day
threshold, so the code attempts a real refresh against auth.openai.com,
never reaches the mock, and you end up with
received_requests().await.unwrap() being empty.
## Summary
It appears that #2108 hit a merge conflict with #2355 - I failed to
notice the path difference when re-reviewing the former. This PR
rectifies that, and consolidates it into the protocol package, in line
with our philosophy of specifying types in one place.
## Testing
- [x] Adds config test for model_verbosity
**What?**
Auto-approve patches when `SandboxPolicy::DangerFullAccess` is enabled
on platforms without sandbox support.
Changes in `codex-rs/core/src/safety.rs`: return
`SafetyCheck::AutoApprove { sandbox_type: SandboxType::None }` when no
sandbox is available and DangerFullAccess is set.
**Why?**
On platforms lacking sandbox support, requiring explicit user approval
despite `DangerFullAccess` being explicitly enabled adds friction
without additional safety. This aligns behavior with the stated policy
intent.
**How?**
Extend `assess_patch_safety` match:
* If `get_platform_sandbox()` returns `Some`, keep `AutoApprove {
sandbox_type }`.
* If `None` **and** `SandboxPolicy::DangerFullAccess`, return
`AutoApprove { SandboxType::None }`.
* Otherwise, fall back to `AskUser`.
**Tests**
* Local checks:
```bash
cargo test && cargo clippy --tests && cargo fmt -- --config
imports_granularity=Item
```
(Additionally: `just fmt`, `just fix -p codex-core`, `cargo check -p
codex-core`.)
**Docs**
No user-facing CLI changes. No README/help updates needed.
**Risk/Impact**
Reduces prompts on non-sandboxed platforms when DangerFullAccess is
explicitly chosen; consistent with policy semantics.
---------
Co-authored-by: Michael Bolin <bolinfest@gmail.com>
# Improve @ file search: include specific hidden dirs
This should close#2980
## What
- Extend `@` fuzzy file search to include select top-level hidden
directories:
`.github`, `.gitlab`, `.circleci`, `.devcontainer`, `.azuredevops`,
`.vscode`, `.cursor`.
- Keep all other hidden directories excluded to avoid noise and heavy
traversals.
## Why
- Common project config lives under these dot-dirs (CI, editor,
devcontainer); users expect `@.github/...` and similar paths to resolve.
- Prior behavior hid all dot-dirs, making these files undiscoverable.
## How
- In `codex-file-search` walker:
- Enable hidden entries via `WalkBuilder.hidden(false)`.
- Add `filter_entry` to only allow those specific root dot-directories;
other hidden paths remain filtered out.
- Preserve `.gitignore` semantics and existing exclude handling.
## Local checks
- Ran formatting: `just fmt`
- Ran lint (scoped): `just fix -p codex-file-search`
- Ran tests:
- `cargo test -p codex-file-search`
- `cargo test -p codex-tui`
## Readiness
- Branch is up-to-date locally; tests pass; lint/format applied.
- No merge conflicts expected.
- Marking Ready for review.
---------
Signed-off-by: lionelchg <lionel.cheng@hotmail.fr>
Correct the `shell` tool description for sandboxed runs and add targeted
tests.
- Fix the WorkspaceWrite description to clearly state that writes
outside the writable roots require escalated permissions; reads are not
restricted. The previous wording/formatting could be read as restricting
reads outside the workspace.
- Render the writable roots list on its own lines under a newline after
"writable roots:" for clarity.
- Show the "Commands that require network access" note only in
WorkspaceWrite when network is disabled.
- Add focused tests that call `create_shell_tool_for_sandbox` directly
and assert the exact description text for WorkspaceWrite, ReadOnly, and
DangerFullAccess.
- Update AGENTS.md to note that `just fmt` can be run automatically
without asking.
- Move rollout persistence and listing into a dedicated module:
rollout/{recorder,list}.
- Expose lightweight conversation listing that returns file paths plus
the first 5 JSONL records for preview.
Bumps [thiserror](https://github.com/dtolnay/thiserror) from 2.0.12 to
2.0.16.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/dtolnay/thiserror/releases">thiserror's
releases</a>.</em></p>
<blockquote>
<h2>2.0.16</h2>
<ul>
<li>Add to "no-std" crates.io category (<a
href="https://redirect.github.com/dtolnay/thiserror/issues/429">#429</a>)</li>
</ul>
<h2>2.0.15</h2>
<ul>
<li>Prevent <code>Error::provide</code> API becoming unavailable from a
future new compiler lint (<a
href="https://redirect.github.com/dtolnay/thiserror/issues/427">#427</a>)</li>
</ul>
<h2>2.0.14</h2>
<ul>
<li>Allow build-script cleanup failure with NFSv3 output directory to be
non-fatal (<a
href="https://redirect.github.com/dtolnay/thiserror/issues/426">#426</a>)</li>
</ul>
<h2>2.0.13</h2>
<ul>
<li>Documentation improvements</li>
</ul>
</blockquote>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="40b58536cc"><code>40b5853</code></a>
Release 2.0.16</li>
<li><a
href="83dfb5f99b"><code>83dfb5f</code></a>
Merge pull request <a
href="https://redirect.github.com/dtolnay/thiserror/issues/429">#429</a>
from dtolnay/nostd</li>
<li><a
href="9b4a99fb90"><code>9b4a99f</code></a>
Add to "no-std" crates.io category</li>
<li><a
href="f6145ebe84"><code>f6145eb</code></a>
Release 2.0.15</li>
<li><a
href="2717177976"><code>2717177</code></a>
Merge pull request <a
href="https://redirect.github.com/dtolnay/thiserror/issues/427">#427</a>
from dtolnay/caplints</li>
<li><a
href="2cd13e6767"><code>2cd13e6</code></a>
Make error_generic_member_access compatible with -Dwarnings</li>
<li><a
href="eea6799e2d"><code>eea6799</code></a>
Release 2.0.14</li>
<li><a
href="a2aa6d7a57"><code>a2aa6d7</code></a>
Merge pull request <a
href="https://redirect.github.com/dtolnay/thiserror/issues/426">#426</a>
from dtolnay/enotempty</li>
<li><a
href="f00ebc57be"><code>f00ebc5</code></a>
Allow build-script cleanup failure with NFSv3 output directory to be
non-fatal</li>
<li><a
href="61f28da3df"><code>61f28da</code></a>
Release 2.0.13</li>
<li>Additional commits viewable in <a
href="https://github.com/dtolnay/thiserror/compare/2.0.12...2.0.16">compare
view</a></li>
</ul>
</details>
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## Summary
This PR implements advisory file locking for the message history using
Rust 1.89+ stabilized std::fs::File locking APIs, eliminating the need
for external dependencies.
## Key Changes
- **Stable API Usage**: Uses std::fs::File::try_lock() and
try_lock_shared() APIs stabilized in Rust 1.89
- **Cross-Platform Compatibility**:
- Unix systems use try_lock_shared() for advisory read locks
- Windows systems use try_lock() due to different lock semantics
- **Retry Logic**: Maintains existing retry behavior for concurrent
access scenarios
- **No External Dependencies**: Removes need for external file locking
crates
## Technical Details
The implementation provides advisory file locking to prevent corruption
when multiple Codex processes attempt to write to the message history
file simultaneously. The locking is platform-aware to handle differences
in Windows vs Unix file locking behavior.
## Testing
- ✅ Builds successfully on all platforms
- ✅ Existing message history tests pass
- ✅ File locking retry logic verified
Related to discussion in #2773 about using stabilized Rust APIs instead
of external dependencies.
---------
Co-authored-by: Michael Bolin <bolinfest@gmail.com>
## Summary
This PR enables Codex to build and run on Android/Termux environments by
conditionally gating the arboard clipboard dependency for Android
targets.
## Key Changes
- **Android Compatibility**: Gate arboard dependency for Android targets
where clipboard access may be restricted
- **Build Fixes**: Add missing tempfile::Builder import for image
clipboard operations
- **Code Cleanup**: Remove unnecessary parentheses to resolve formatting
warnings
## Technical Details
### Clipboard Dependency Gating
- Uses conditional compilation to exclude arboard on Android targets
- Maintains full clipboard functionality on other platforms
- Prevents build failures on Android/Termux where system clipboard
access is limited
### Import Fixes
- Adds missing tempfile::Builder import that was causing compilation
errors
- Ensures image clipboard operations work correctly when clipboard is
available
## Platform Support
- ✅ **Linux/macOS/Windows**: Full clipboard functionality maintained
- ✅ **Android/Termux**: Builds successfully without clipboard dependency
- ✅ **Other Unix platforms**: Unchanged behavior
## Testing
- ✅ Builds successfully on Android/Termux
- ✅ Maintains clipboard functionality on supported platforms
- ✅ No regression in existing functionality
This addresses the Android/Termux compatibility issues while keeping
clipboard functionality intact for platforms that support it.
- Summary:
- Updated the hardcoded hyperlink shown when no MCP servers are
configured to point at the canonical docs section:
- From: codex-rs/config.md#mcp_servers (moved/obsolete)
- To: docs/config.md#mcp_servers (correct GitHub path)
- Rationale:
- The TUI link was pointing to a file that only redirects; this makes
the link accurate and reduces user confusion.
- Validation:
- Verified that the target anchor exists at:
https://github.com/openai/codex/blob/main/docs/config.md#mcp_servers
- UI behavior unchanged otherwise (rendering of link text remains “MCP
docs”).
- Impact:
- One-line change in TUI display logic; no functional behavior change.
Co-authored-by: Michael Bolin <mbolin@openai.com>
The gpt-oss models require reasoning with subsequent Chat Completions
requests because otherwise the model forgets why the tools were called.
This change fixes that and also adds some additional missing
documentation around how to handle context windows in Ollama and how to
show the CoT if you desire to.
## Summary
Fixes an issue with the lark grammar definition for the apply_patch
freeform tool. This does NOT change the defaults, merely patches the
root cause of the issue we were seeing with empty lines, and an issue
with config flowing through correctly.
Specifically, the following requires that a line is non-empty:
```
add_line: "+" /(.+)/ LF -> line
```
but many changes _should_ involve creating/updating empty lines. The new
definition is:
```
add_line: "+" /(.*)/ LF -> line
```
## Testing
- [x] Tested locally, reproduced the issue without the update and
confirmed that the model will produce empty lines wiht the new lark
grammar
## Summary
- allow selection popups to specify their empty state message
- show a "loading..." placeholder in the file search popup while matches
are pending
- update other popup call sites to continue using a "no matches" message
## Testing
- just fmt
- just fix -p codex-tui
- cargo test -p codex-tui
------
https://chatgpt.com/codex/tasks/task_i_68b73e956e90832caf4d04a75fcc9c46
We have two ways of loading conversation with a previous history. Fork
conversation and the experimental resume that we had before. In this PR,
I am unifying their code path. The path is getting the history items and
recording them in a brand new conversation. This PR also constraint the
rollout recorder responsibilities to be only recording to the disk and
loading from the disk.
The PR also fixes a current bug when we have two forking in a row:
History 1:
<Environment Context>
UserMessage_1
UserMessage_2
UserMessage_3
**Fork with n = 1 (only remove one element)**
History 2:
<Environment Context>
UserMessage_1
UserMessage_2
<Environment Context>
**Fork with n = 1 (only remove one element)**
History 2:
<Environment Context>
UserMessage_1
UserMessage_2
**<Environment Context>**
This shouldn't happen but because we were appending the `<Environment
Context>` after each spawning and it's considered as _user message_.
Now, we don't add this message if restoring and old conversation.
https://github.com/openai/codex/pull/3062 added `windows-11-arm` to the
list of images used for building, but the job to build an alpha just
failed:
https://github.com/openai/codex/actions/runs/17415565601
with this error:
```
Creating archive: codex-aarch64-pc-windows-msvc.exe.zip
Add new data to archive: 1 file, 20484096 bytes (20 MiB)
Files read from disk: 1
Archive size: 7869619 bytes (7686 KiB)
Everything is Ok
C:\a\_temp\0e71926f-4d8a-42ae-a337-a9627acc9c57.sh: line 34: zstd: command not found
```
so allegedly this should fix it? I'm surprised this was not necessary
for the `windows-latest` image, though.
Fixes excessive blank lines appearing during agent message streaming.
- Only insert a separator blank line for new, non-streaming history
cells.
- Streaming continuations now append without adding a spacer,
eliminating extra gaps between chunks.
Affected area: TUI display of agent messages (tui/src/app.rs).
3 quick fixes to docs/config.md
- Fix the reference table so option lists render correctly
- Corrected the default `stream_max_retries` to 5 (Old: 10)
- Update example approval_policy to untrusted (Old: unless-allow-listed)
This is in support of https://github.com/openai/codex/issues/2979.
Once we have a release out, we can update the npm module and the VS Code
extension to take advantage of this.
Hide the “/init” suggestion in the new-session banner when an
`AGENTS.md` exists anywhere from the repo root down to the current
working directory.
Changes
- Conditional suggestion: use `discover_project_doc_paths(config)` to
suppress `/init` when agents docs are present.
- TUI style cleanup: switch banner construction to `Stylize` helpers
(`.bold()`, `.dim()`, `.into()`), avoiding `Span::styled`/`Span::raw`.
- Fixture update: remove `/init` line in
`tui/tests/fixtures/ideal-binary-response.txt` to match the new banner.
Validation
- Ran formatting and scoped lint fixes: `just fmt` and `just fix -p
codex-tui`.
- Tests: `cargo test -p codex-tui` passed (`176 passed, 0 failed`).
Notes
- No change to the `/init` command itself; only the welcome banner now
adapts based on presence of `AGENTS.md`.
we were checking every typed character to see if it was an image. this
involved going to disk, which was slow.
this was a bad interaction between image paste support and burst-paste
detection.
This PR fixes the link of contributing page in Pull Request template to
the right one following the migration of the section to a dedicated
file.
Signed-off-by: lionelchg <lionel.cheng@hotmail.fr>
## Summary
Pressing Enter with an empty composer was treated as a submission, which
queued a blank message while a task was running. This PR suppresses
submission when there is no text and no attachments.
## Root Cause
- ChatComposer returned Submitted even when the trimmed text was empty.
ChatWidget then queued it during a running task, leading to an empty
item appearing in the queued list and being popped later with no effect.
## Changes
- ChatComposer Enter handling: if trimmed text is empty and there are no
attached images, return None instead of Submitted.
- No changes to ChatWidget; behavior naturally stops queuing blanks at
the source.
## Code Paths
- Modified: `tui/src/bottom_pane/chat_composer.rs`
- Tests added:
- `tui/src/bottom_pane/chat_composer.rs`: `empty_enter_returns_none`
- `tui/src/chatwidget/tests.rs`:
`empty_enter_during_task_does_not_queue`
## Result
### Before
https://github.com/user-attachments/assets/a40e2f6d-42ba-4a82-928b-8f5458f5884d
### After
https://github.com/user-attachments/assets/958900b7-a566-44fc-b16c-b80380739c92
#2747 encouraged me to audit our codebase for similar issues, as now I
am particularly suspicious that our flaky tests are due to a racy
deadlock.
I asked Codex to audit our code, and one of its suggestions was this:
> **High-Risk Patterns**
>
> All `send_*` methods await on a bounded
`mpsc::Sender<OutgoingMessage>`. If the writer blocks, the channel fills
and the processor task blocks on send, stops draining incoming requests,
and stdin reader eventually blocks on its send. This creates a
backpressure deadlock cycle across the three tasks.
>
> **Recommendations**
> * Server outgoing path: break the backpressure cycle
> * Option A (minimal risk): Change `OutgoingMessageSender` to use an
unbounded channel to decouple producer from stdout. Add rate logging so
floods are visible.
> * Option B (bounded + drop policy): Change `send_*` to try_send and
drop messages (or coalesce) when the queue is full, logging a warning.
This prevents processor stalls at the cost of losing messages under
extreme backpressure.
> * Option C (two-stage buffer): Keep bounded channel, but have a
dedicated “egress” task that drains an unbounded internal queue, writing
to stdout with retries and a shutdown timeout. This centralizes
backpressure policy.
So this PR is Option A.
Indeed, we previously used a bounded channel with a capacity of `128`,
but as we discovered recently with #2776, there are certainly cases
where we can get flooded with events.
That said, `test_shell_command_approval_triggers_elicitation` just
failed one one build when I put up this PR, so clearly we are not out of
the woods yet...
**Update:** I think I found the true source of the deadlock! See
https://github.com/openai/codex/pull/2876
Today we had a breakage in the release build that went unnoticed by CI.
Here is what happened:
- https://github.com/openai/codex/pull/2242 originally added some logic
to do release builds to prevent this from happening
- https://github.com/openai/codex/pull/2276 undid that change to try to
speed things up by removing the step to build all the individual crates
in release mode, assuming the `cargo check` call was sufficient
coverage, which it would have been, had it specified `--profile`
This PR adds `--profile` to the `cargo check` step so we should get the
desired coverage from our build matrix.
Indeed, enabling this in our CI uncovered a warning that is only present
in release mode that was going unnoticed.
The default install command causes unexpected code to be executed:
```
npm install -g @openai/codex # Alternatively: `brew install codex`
```
The problem is some environment will treat # as literal string, not
start of comment. Therefore the user will execute this instead (because
it's in backtick)
```
brew install codex
```
And then the npm command will error (because it's trying to install
package #)
POC code
```rust
use tokio::sync::mpsc;
use std::time::Duration;
#[tokio::main]
async fn main() {
println!("=== Test 1: Simulating original MCP server pattern ===");
test_original_pattern().await;
}
async fn test_original_pattern() {
println!("Testing the original pattern from MCP server...");
// Create channel - this simulates the original incoming_tx/incoming_rx
let (tx, mut rx) = mpsc::channel::<String>(10);
// Task 1: Simulates stdin reader that will naturally terminate
let stdin_task = tokio::spawn({
let tx_clone = tx.clone();
async move {
println!(" stdin_task: Started, will send 3 messages then exit");
for i in 0..3 {
let msg = format!("Message {}", i);
if tx_clone.send(msg.clone()).await.is_err() {
println!(" stdin_task: Receiver dropped, exiting");
break;
}
println!(" stdin_task: Sent {}", msg);
tokio::time::sleep(Duration::from_millis(300)).await;
}
println!(" stdin_task: Finished (simulating EOF)");
// tx_clone is dropped here
}
});
// Task 2: Simulates message processor
let processor_task = tokio::spawn(async move {
println!(" processor_task: Started, waiting for messages");
while let Some(msg) = rx.recv().await {
println!(" processor_task: Processing {}", msg);
tokio::time::sleep(Duration::from_millis(100)).await;
}
println!(" processor_task: Finished (channel closed)");
});
// Task 3: Simulates stdout writer or other background task
let background_task = tokio::spawn(async move {
for i in 0..2 {
tokio::time::sleep(Duration::from_millis(500)).await;
println!(" background_task: Tick {}", i);
}
println!(" background_task: Finished");
});
println!(" main: Original tx is still alive here");
println!(" main: About to call tokio::join! - will this deadlock?");
// This is the pattern from the original code
let _ = tokio::join!(stdin_task, processor_task, background_task);
}
```
---------
Co-authored-by: Michael Bolin <bolinfest@gmail.com>
- Introduce websearch end to complement the begin
- Moves the logic of adding the sebsearch tool to
create_tools_json_for_responses_api
- Making it the client responsibility to toggle the tool on or off
- Other misc in #2371 post commit feedback
- Show the query:
<img width="1392" height="151" alt="image"
src="https://github.com/user-attachments/assets/8457f1a6-f851-44cf-bcca-0d4fe460ce89"
/>
Adds custom `/prompts` to `~/.codex/prompts/<command>.md`.
<img width="239" height="107" alt="Screenshot 2025-08-25 at 6 22 42 PM"
src="https://github.com/user-attachments/assets/fe6ebbaa-1bf6-49d3-95f9-fdc53b752679"
/>
---
Details:
1. Adds `Op::ListCustomPrompts` to core.
2. Returns `ListCustomPromptsResponse` with list of `CustomPrompt`
(name, content).
3. TUI calls the operation on load, and populates the custom prompts
(excluding prompts that collide with builtins).
4. Selecting the custom prompt automatically sends the prompt to the
agent.
## What
Make slash commands (/init, /status, /approvals, /model) bold and white
in the welcome message for better visibility.
<img width="990" height="286" alt="image"
src="https://github.com/user-attachments/assets/13f90e96-b84a-4659-aab4-576d84a31af7"
/>
## Why
The current welcome message displays all text in a dimmed style, making
the slash commands less prominent. Users need to quickly identify
available commands when starting Codex.
## How
Modified `tui/src/history_cell.rs` in the `new_session_info` function
to:
- Split each command line into separate spans
- Apply bold white styling to command text (`/init`, `/status`, etc.)
- Keep descriptions dimmed for visual contrast
- Maintain existing layout and spacing
## Test plan
- [ ] Run the TUI and verify commands appear bold in the welcome message
- [ ] Ensure descriptions remain dimmed for readability
- [ ] Confirm all existing tests pass
This PR fixes two edge cases in managing burst paste (mainly on power
shell).
Bugs:
- Needs an event key after paste to render the pasted items
> ChatComposer::flush_paste_burst_if_due() flushes on timeout. Called:
> - Pre-render in App on TuiEvent::Draw.
> - Via a delayed frame
>
BottomPane::request_redraw_in(ChatComposer::recommended_paste_flush_delay()).
- Parses two key events separately before starting parsing burst paste
> When threshold is crossed, pull preceding burst chars out of the
textarea and prepend to paste_burst_buffer, then keep buffering.
- Integrates with #2567 to bring image pasting to windows.
`test_shell_command_approval_triggers_elicitation()` is one of a number
of integration tests that we have observed to be flaky on GitHub CI, so
this PR tries to reduce the flakiness _and_ to provide us with more
information when it flakes. Specifically:
- Changed the command that we use to trigger the elicitation from `git
init` to `python3 -c 'import pathlib; pathlib.Path(r"{}").touch()'`
because running `git` seems more likely to invite variance.
- Increased the timeout to wait for the task response from 10s to 20s.
- Added more logging.
- added `uninlined_format_args` to `[workspace.lints.clippy]` in the
`Cargo.toml` for the workspace
- ran `cargo clippy --tests --fix`
- ran `just fmt`
This was supposed to be fixed by #2569, but I think the actual fix got
lost in the refactoring.
Intended behavior: pressing ^Z moves the cursor below the viewport
before suspending.
This was mostly written by codex under heavy guidance via test cases
drawn from logged session data and fuzzing. It also uncovered some bugs
in tui_markdown, which will in some cases split a list marker from the
list item content. We're not addressing those bugs for now.
This PR cleans up the monolithic README by breaking it into a set
navigable pages under docs/ (install, getting started, configuration,
authentication, sandboxing and approvals, platform details, FAQ, ZDR,
contributing, license). The top‑level README is now more concise and
intuitive, (with corrected screenshots).
It also consolidates overlapping content from codex-rs/README.md into
the top‑level docs and updates links accordingly. The codex-rs README
remains in place for now as a pointer and for continuity.
Finally, added an extensive config reference table at the bottom of
docs/config.md.
---------
Co-authored-by: easong-openai <easong@openai.com>
This is a stopgap solution, but today, we are seeing the client get
flooded with events. Since we already truncate the output we send to the
model, it feels reasonable to limit how many deltas we send to the
client.
## Summary
Adds a GetConfig request to the MCP Protocol, so MCP clients can
evaluate the resolved config.toml settings which the harness is using.
## Testing
- [x] Added an end to end test of the endpoint
Prevented panics when deleting placeholders near multibyte characters by
clamping the cursor to a valid boundary and using get-based slicing
Added a regression test to ensure backspacing after multibyte text
leaves placeholders intact without crashing
---------
Co-authored-by: Ahmed Ibrahim <aibrahim@openai.com>
This fixes a bug where if you ran /diff while at turn was running,
transcript lines would be added to the end of the diff view. Also,
refactor to make this kind of issue less likely in future.
This pr addresses the fix for
https://github.com/openai/codex/issues/2713
### Changes:
- Added key handler for `Alt+Ctrl+H` → `delete_backward_word()`
- Added test coverage in `delete_backward_word_alt_keys()` that verifies
both:
- Standard `Alt+Backspace` binding continues to work
- New `Alt+Ctrl+H` binding works correctly for backward word deletion
### Testing:
The test ensures both key combinations produce identical behavior:
- Delete the previous word from "hello world" → "hello "
- Cursor positioned correctly after deletion
### Backward Compatibility:
This change is backward compatible - existing `Alt+Backspace`
functionality remains unchanged while adding support for the
terminal-specific `Alt+Ctrl+H` variant
Use emoji variation selector (VS16) for the keyboard icon so it
consistently renders as emoji (⌨️) rather than text (⌨) across
terminals.
Touches TUI command rendering for unknown parsed commands. No behavior
change beyond display.
### What this PR does
This PR introduces a new public method,
remove_conversation(conversation_id: Uuid), to the ConversationManager.
This allows consumers of the codex-core library to manually remove a
conversation from the manager's in-memory storage.
### Why this change is needed
I am currently adapting the Codex client to run as a long-lived server
application. In this server environment, ConversationManager instances
persist for extended periods, and new conversations are created for each
incoming user request.
The current implementation of ConversationManager stores all created
conversations in a HashMap indefinitely, with no mechanism for removal.
This leads to unbounded memory growth in a server context, as every new
conversation permanently occupies memory.
While an automatic TTL-based cleanup mechanism could be one solution, a
simpler, more direct remove_conversation method provides the necessary
control for my use case. It allows my server application to explicitly
manage the lifecycle of conversations, such as cleaning them up after a
request is fully processed or after a period of inactivity is detected
at the application level.
This change provides a minimal, non-intrusive way to address the memory
management issue for server-like applications built on top of
codex-core, giving developers the flexibility to implement their own
cleanup logic.
Signed-off-by: M4n5ter <m4n5terrr@gmail.com>
Co-authored-by: Michael Bolin <mbolin@openai.com>
There are some design issues with this action, so until we work them
out, we'll remove this code from the repository to avoid folks from
taking a dependency on it.
The CLI supports config settings `stream_max_retries` and
`request_max_retries` that allow users to override the default retry
counts (4 and 5, respectively). However, there's currently no cap placed
on these values. In theory, a user could configure an effectively
infinite retry count which could hammer the server. This PR adds a
reasonable cap (currently 100) to both of these values.
This PR improves the error message presented to the user when logged in
with ChatGPT and a rate-limit error occurs. In particular, it provides
the user with information about when the rate limit will be reset. It
removes older code that attempted to do the same but relied on parsing
of error messages that are not generated by the ChatGPT endpoint. The
new code uses newly-added error fields.
Esc and Ctrl+C while a task is running should do the same thing. There
were some cases where pressing Esc would leave a "stuck" widget in the
history; this fixes that and cleans up the logic so there's just one
path for interrupting the task. Also clean up some subtly mishandled key
events (e.g. Ctrl+D would quit the app while an approval modal was
showing if the textarea was empty).
---------
Co-authored-by: Ahmed Ibrahim <aibrahim@openai.com>
This PR fixes a bug in the token refresh logic. Token refresh is
performed in a retry loop so if we receive a 401 error, we refresh the
token, then we go around the loop again and reissue the fetch with a
fresh token. The bug is that we're not using the updated token on the
second and subsequent times through the loop. The result is that we'll
try to refresh the token a few more times until we hit the retry limit
(default of 4). The 401 error is then passed back up to the caller.
Subsequent calls will use the refreshed token, so the problem clears
itself up.
The fix is straightforward — make sure we use the updated auth
information each time through the retry loop.
In this PR:
- [x] Add support for dragging / copying image files into chat.
- [x] Don't remove image placeholders when submitting.
- [x] Add tests.
Works for:
- Image Files
- Dragging MacOS Screenshots (Terminal, iTerm)
Todos:
- [ ] In some terminals (VSCode, WIndows Powershell, and remote
SSH-ing), copy-pasting a file streams the escaped filepath as individual
key events rather than a single Paste event. We'll need to have a
function (in a separate PR) for detecting these paste events.
Esc should have other functionalities when it's not used in a
backtracking situation. i.e. to cancel pop up menu when selecting
model/approvals or to interrupt an active turn.
## Summary
These tests were getting a bit unwieldy, and they're starting to become
load-bearing. Let's clean them up, and get them working solidly so we
can easily expand this harness with new tests.
## Test Plan
- [x] Tests continue to pass
I noticed that when running `/status` on Windows, I saw something like:
```
Path: ~/src\codex
```
so now it should be:
```
Path: ~\src\codex
```
Admittedly, `~` is understood by PowerShell but not on Windows, in
general, but it's much less verbose than `%USERPROFILE%`.
**Context**
When running `/compact`, `drain_to_completed` would throw an error if
`token_usage` was `None` in `ResponseEvent::Completed`. This made the
command fail even though everything else had succeeded.
**What changed**
- Instead of erroring, we now just check `if let Some(token_usage)`
before sending the event.
- If it’s missing, we skip it and move on.
**Why**
This makes `AgentTask::compact()` behave in the same way as
`AgentTask::spawn()`, which also doesn’t error out when `token_usage`
isn’t available. Keeps things consistent and avoids unnecessary
failures.
**Fixes**
Closes#2417
---------
Co-authored-by: Ahmed Ibrahim <aibrahim@openai.com>
The `SessionManager` in `exec_command` owns a number of
`ExecCommandSession` objects where `ExecCommandSession` has a
non-trivial implementation of `Drop`, so we want to be able to drop an
individual `SessionManager` to help ensure things get cleaned up in a
timely fashion. To that end, we should have one `SessionManager` per
session rather than one global one for the lifetime of the CLI process.
`ToolsConfig::new()` taking a large number of boolean params was hard to
manage and it finally bit us (see
https://github.com/openai/codex/pull/2660). This changes
`ToolsConfig::new()` so that it takes a struct (and also reduces the
visibility of some members, where possible).
Fixes https://github.com/openai/codex/issues/2610
This PR sorts the tools in `get_openai_tools` by name to ensure a
consistent MCP tool order.
Currently, MCP servers are stored in a HashMap, which does not guarantee
ordering. As a result, the tool order changes across turns, effectively
breaking prompt caching in multi-turn sessions.
An alternative solution would be to replace the HashMap with an ordered
structure, but that would require a much larger code change. Given that
it is unrealistic to have so many MCP tools that sorting would cause
performance issues, this lightweight fix is chosen instead.
By ensuring deterministic tool order, this change should significantly
improve cache hit rates and prevent users from hitting usage limits too
quickly. (For reference, my own sessions last week reached the limit
unusually fast, with cache hit rates falling below 1%.)
## Result
After this fix, sessions with MCP servers now show caching behavior
almost identical to sessions without MCP servers.
Without MCP | With MCP
:-------------------------:|:-------------------------:
<img width="1368" height="1634" alt="image"
src="https://github.com/user-attachments/assets/26edab45-7be8-4d6a-b471-558016615fc8"
/> | <img width="1356" height="1632" alt="image"
src="https://github.com/user-attachments/assets/5f3634e0-3888-420b-9aaf-deefd9397b40"
/>
Bumps [whoami](https://github.com/ardaku/whoami) from 1.6.0 to 1.6.1.
<details>
<summary>Commits</summary>
<ul>
<li>See full diff in <a
href="https://github.com/ardaku/whoami/commits">compare view</a></li>
</ul>
</details>
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Historically, Codex CLI has treated `apply_patch` (and its sometimes
misspelling, `applypatch`) as a "virtual CLI," intercepting it when it
appears as the first arg to `command` for the `"container.exec",
`"shell"`, or `"local_shell"` tools.
This approach has a known limitation where if, say, the model created a
Python script that runs `apply_patch` and then tried to run the Python
script, we have no insight as to what the model is trying to do and the
Python Script would fail because `apply_patch` was never really on the
`PATH`.
One way to solve this problem is to require users to install an
`apply_patch` executable alongside the `codex` executable (or at least
put it someplace where Codex can discover it). Though to keep Codex CLI
as a standalone executable, we exploit "the arg0 trick" where we create
a temporary directory with an entry named `apply_patch` and prepend that
directory to the `PATH` for the duration of the invocation of Codex.
- On UNIX, `apply_patch` is a symlink to `codex`, which now changes its
behavior to behave like `apply_patch` if arg0 is `apply_patch` (or
`applypatch`)
- On Windows, `apply_patch.bat` is a batch script that runs `codex
--codex-run-as-apply-patch %*`, as Codex also changes its behavior if
the first argument is `--codex-run-as-apply-patch`.
## Summary
We're seeing some issues in the freeform tool - let's disable by default
until it stabilizes.
## Testing
- [x] Ran locally, confirmed codex-cli could make edits
this dramatically improves time to run `cargo test -p codex-core` (~25x
speedup).
before:
```
cargo test -p codex-core 35.96s user 68.63s system 19% cpu 8:49.80 total
```
after:
```
cargo test -p codex-core 5.51s user 8.16s system 63% cpu 21.407 total
```
both tests measured "hot", i.e. on a 2nd run with no filesystem changes,
to exclude compile times.
approach inspired by [Delete Cargo Integration
Tests](https://matklad.github.io/2021/02/27/delete-cargo-integration-tests.html),
we move all test cases in tests/ into a single suite in order to have a
single binary, as there is significant overhead for each test binary
executed, and because test execution is only parallelized with a single
binary.
Adds web_search tool, enabling the model to use Responses API web_search
tool.
- Disabled by default, enabled by --search flag
- When --search is passed, exposes web_search_request function tool to
the model, which triggers user approval. When approved, the model can
use the web_search tool for the remainder of the turn
<img width="1033" height="294" alt="image"
src="https://github.com/user-attachments/assets/62ac6563-b946-465c-ba5d-9325af28b28f"
/>
---------
Co-authored-by: easong-openai <easong@openai.com>
We want to send an aggregated output of stderr and stdout so we don't
have to aggregate it stderr+stdout as we lose order sometimes.
---------
Co-authored-by: Gabriel Peal <gpeal@users.noreply.github.com>
This can be the underlying logic in order to start a conversation from a
previous message. will need some love in the UI.
Base for building this: #2588
## Summary
- read the shell exec approval request's actual id instead of assuming
it is always 0
- use that id when validating and responding in the test
## Testing
- `cargo test -p codex-mcp-server
test_shell_command_approval_triggers_elicitation`
------
https://chatgpt.com/codex/tasks/task_i_68a6ab9c732c832c81522cbf11812be0
Bumps [serde_json](https://github.com/serde-rs/json) from 1.0.142 to
1.0.143.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/serde-rs/json/releases">serde_json's
releases</a>.</em></p>
<blockquote>
<h2>v1.0.143</h2>
<ul>
<li>Implement Clone and Debug for serde_json::Map iterators (<a
href="https://redirect.github.com/serde-rs/json/issues/1264">#1264</a>,
thanks <a
href="https://github.com/xlambein"><code>@xlambein</code></a>)</li>
<li>Implement Default for CompactFormatter (<a
href="https://redirect.github.com/serde-rs/json/issues/1268">#1268</a>,
thanks <a href="https://github.com/SOF3"><code>@SOF3</code></a>)</li>
<li>Implement FromStr for serde_json::Map (<a
href="https://redirect.github.com/serde-rs/json/issues/1271">#1271</a>,
thanks <a
href="https://github.com/mickvangelderen"><code>@mickvangelderen</code></a>)</li>
</ul>
</blockquote>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="10102c49bf"><code>10102c4</code></a>
Release 1.0.143</li>
<li><a
href="2a5b85312c"><code>2a5b853</code></a>
Replace super::super with absolute path within crate</li>
<li><a
href="447170bd38"><code>447170b</code></a>
Merge pull request 1271 from
mickvangelderen/mick/impl-from-str-for-map</li>
<li><a
href="ec190d6dfd"><code>ec190d6</code></a>
Merge pull request <a
href="https://redirect.github.com/serde-rs/json/issues/1264">#1264</a>
from xlambein/master</li>
<li><a
href="8be664752f"><code>8be6647</code></a>
Merge pull request <a
href="https://redirect.github.com/serde-rs/json/issues/1268">#1268</a>
from SOF3/compact-default</li>
<li><a
href="ba5b3cccea"><code>ba5b3cc</code></a>
Revert "Pin nightly toolchain used for miri job"</li>
<li><a
href="fd35a02901"><code>fd35a02</code></a>
Implement FromStr for Map<String, Value></li>
<li><a
href="bea0fe6b3e"><code>bea0fe6</code></a>
Implement Default for CompactFormatter</li>
<li><a
href="0c0e9f6bfa"><code>0c0e9f6</code></a>
Add Clone and Debug impls to map iterators</li>
<li>See full diff in <a
href="https://github.com/serde-rs/json/compare/v1.0.142...v1.0.143">compare
view</a></li>
</ul>
</details>
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Prior to this change, when we got a `CallToolResult` from an MCP server,
we JSON-serialized its `content` field as the `content` to send back to
the model as part of the function call output that we send back to the
model. This meant that we were dropping the `structuredContent` on the
floor.
Though reading
https://modelcontextprotocol.io/specification/2025-06-18/schema#tool, it
appears that if `outputSchema` is specified, then `structuredContent`
should be set, which seems to be a "higher-fidelity" response to the
function call. This PR updates our handling of `CallToolResult` to
prefer using the JSON-serialization of `structuredContent`, if present,
using `content` as a fallback.
Also, it appears that the sense of `success` was inverted prior to this
PR!
before:
```
$ time cargo test -p codex-tui -q
[...]
cargo test -p codex-tui -q 39.89s user 10.77s system 98% cpu 51.328 total
```
after:
```
$ time cargo test -p codex-tui -q
[...]
cargo test -p codex-tui -q 1.37s user 0.64s system 29% cpu 6.699 total
```
the major offenders were the textarea fuzz test and the custom_terminal
doctests. (i think the doctests were being recompiled every time which
made them extra slow?)
## Summary
When resolving our current directory as a project, we want to be a
little bit more clever:
1. If we're in a sub-directory of a git repo, resolve our project
against the root of the git repo
2. If we're in a git worktree, resolve the project against the root of
the git repo
## Testing
- [x] Added unit tests
- [x] Confirmed locally with a git worktree (the one i was using for
this feature)
## Summary
GPT-5 introduced the concept of [custom
tools](https://platform.openai.com/docs/guides/function-calling#custom-tools),
which allow the model to send a raw string result back, simplifying
json-escape issues. We are migrating gpt-5 to use this by default.
However, gpt-oss models do not support custom tools, only normal
functions. So we keep both tool definitions, and provide whichever one
the model family supports.
## Testing
- [x] Tested locally with various models
- [x] Unit tests pass
This PR adds a central `AuthManager` struct that manages the auth
information used across conversations and the MCP server. Prior to this,
each conversation and the MCP server got their own private snapshots of
the auth information, and changes to one (such as a logout or token
refresh) were not seen by others.
This is especially problematic when multiple instances of the CLI are
run. For example, consider the case where you start CLI 1 and log in to
ChatGPT account X and then start CLI 2 and log out and then log in to
ChatGPT account Y. The conversation in CLI 1 is still using account X,
but if you create a new conversation, it will suddenly (and
unexpectedly) switch to account Y.
With the `AuthManager`, auth information is read from disk at the time
the `ConversationManager` is constructed, and it is cached in memory.
All new conversations use this same auth information, as do any token
refreshes.
The `AuthManager` is also used by the MCP server's GetAuthStatus
command, which now returns the auth method currently used by the MCP
server.
This PR also includes an enhancement to the GetAuthStatus command. It
now accepts two new (optional) input parameters: `include_token` and
`refresh_token`. Callers can use this to request the in-use auth token
and can optionally request to refresh the token.
The PR also adds tests for the login and auth APIs that I recently added
to the MCP server.
Introduce a minimal paste-burst heuristic in the chat composer so Enter
is treated as a newline during paste-like bursts (plain chars arriving
in very short intervals), avoiding premature submit after the first line
on Windows consoles that lack bracketed paste.
- Detect tight sequences of plain Char events; open a short window where
Enter inserts a newline instead of submitting.
- Extend the window on newline to handle blank lines in pasted content.
- No behavior change for terminals that already emit Event::Paste; no
OS/env toggles added.
allow ctrl+v in TUI for images + @file that are images are appended as
raw files (and read by the model) rather than pasted as a path that
cannot be read by the model.
Re-used components and same interface we're using for copying pasted
content in
72504f1d9c.
@aibrahim-oai as you've implemented this, mind having a look at this
one?
https://github.com/user-attachments/assets/c6c1153b-6b32-4558-b9a2-f8c57d2be710
---------
Co-authored-by: easong-openai <easong@openai.com>
Co-authored-by: Daniel Edrisian <dedrisian@openai.com>
Co-authored-by: Michael Bolin <mbolin@openai.com>
This is a somewhat roundabout way to fix the issue that pressing ^Z
would put the shell prompt in the wrong place (overwriting some of the
status area below the composer). While I'm at it, clean up the suspend
logic and fix some suspend-while-in-alt-screen behavior too.
**Summary**
- Adds `model_verbosity` config (values: low, medium, high).
- Sends `text.verbosity` only for GPT‑5 family models via the Responses
API.
- Updates docs and adds serialization tests.
**Motivation**
- GPT‑5 introduces a verbosity control to steer output length/detail
without pro
mpt surgery.
- Exposing it as a config knob keeps prompts stable and makes behavior
explicit
and repeatable.
**Changes**
- Config:
- Added `Verbosity` enum (low|medium|high).
- Added optional `model_verbosity` to `ConfigToml`, `Config`, and
`ConfigProfi
le`.
- Request wiring:
- Extended `ResponsesApiRequest` with optional `text` object.
- Populates `text.verbosity` only when model family is `gpt-5`; omitted
otherw
ise.
- Tests:
- Verifies `text.verbosity` serializes when set and is omitted when not
set.
- Docs:
- Added “GPT‑5 Verbosity” section in `codex-rs/README.md`.
- Added `model_verbosity` section to `codex-rs/config.md`.
**Usage**
- In `~/.codex/config.toml`:
- `model = "gpt-5"`
- `model_verbosity = "low"` (or `"medium"` default, `"high"`)
- CLI override example:
- `codex -c model="gpt-5" -c model_verbosity="high"`
**API Impact**
- Requests to GPT‑5 via Responses API include: `text: { verbosity:
"low|medium|h
igh" }` when configured.
- For legacy models or Chat Completions providers, `text` is omitted.
**Backward Compatibility**
- Default behavior unchanged when `model_verbosity` is not set (server
default “
medium”).
**Testing**
- Added unit tests for serialization/omission of `text.verbosity`.
- Ran `cargo fmt` and `cargo test --all-features` (all green).
**Docs**
- `README.md`: new “GPT‑5 Verbosity” note under Config with example.
- `config.md`: new `model_verbosity` section.
**Out of Scope**
- No changes to temperature/top_p or other GPT‑5 parameters.
- No changes to Chat Completions wiring.
**Risks / Notes**
- If OpenAI changes the wire shape for verbosity, we may need to update
`Respons
esApiRequest`.
- Behavior gated to `gpt-5` model family to avoid unexpected effects
elsewhere.
**Checklist**
- [x] Code gated to GPT‑5 family only
- [x] Docs updated (`README.md`, `config.md`)
- [x] Tests added and passing
- [x] Formatting applied
Release note: Add `model_verbosity` config to control GPT‑5 output verbosity via the Responses API (low|medium|high).
## Summary
We've experienced a bit of drift in system prompting for `apply_patch`:
- As pointed out in #2030 , our prettier formatting started altering
prompt.md in a few ways
- We introduced a separate markdown file for apply_patch instructions in
#993, but currently duplicate them in the prompt.md file
- We added a first-class apply_patch tool in #2303, which has yet
another definition
This PR starts to consolidate our logic in a few ways:
- We now only use
`apply_patch_tool_instructions.md](https://github.com/openai/codex/compare/dh--apply-patch-tool-definition?expand=1#diff-d4fffee5f85cb1975d3f66143a379e6c329de40c83ed5bf03ffd3829df985bea)
for system instructions
- We no longer include apply_patch system instructions if the tool is
specified
I'm leaving the definition in openai_tools.rs as duplicated text for now
because we're going to be iterated on the first-class tool soon.
## Testing
- [x] Added integration tests to verify prompt stability
- [x] Tested locally with several different models (gpt-5, gpt-oss,
o4-mini)
## Summary
Small update to hopefully improve some shell edge cases, and make the
function clearer to the model what is going on. Keeping `timeout` as an
alias means that calls with the previous name will still work.
## Test Plan
- [x] Tested locally, model still works
moves TranscriptApp to be an "overlay", and continue to pump AppEvents
while the transcript is active, but forward all tui handling to the
transcript screen.
## Summary
Before we land #2243, let's start printing environment_context in our
preferred format. This struct will evolve over time with new
information, xml gives us a balance of human readable without too much
parsing, llm readable, and extensible.
Also moves us over to an Option-based struct, so we can easily provide
diffs to the model.
## Testing
- [x] Updated tests to reflect new format
This PR adds the following:
* A getAuthStatus method on the mcp server. This returns the auth method
currently in use (chatgpt or apikey) or none if the user is not
authenticated. It also returns the "preferred auth method" which
reflects the `preferred_auth_method` value in the config.
* A logout method on the mcp server. If called, it logs out the user and
deletes the `auth.json` file — the same behavior in the cli's `/logout`
command.
* An `authStatusChange` event notification that is sent when the auth
status changes due to successful login or logout operations.
* Logic to pass command-line config overrides to the mcp server at
startup time. This allows use cases like `codex mcp -c
preferred_auth_method=apikey`.
## What? Why? How?
- When running on Windows, codex often tries to invoke bash commands,
which commonly fail (unless WSL is installed)
- Fix: Detect if powershell is available and, if so, route commands to
it
- Also add a shell_name property to environmental context for codex to
default to powershell commands when running in that environment
## Testing
- Tested within WSL and powershell (e.g. get top 5 largest files within
a folder and validated that commands generated were powershell commands)
- Tested within Zsh
- Updated unit tests
---------
Co-authored-by: Eddy Escardo <eddy@openai.com>
This PR:
- fixes for internal employee because we currently want to prefer SIWC
for them.
- fixes retrying forever on unauthorized access. we need to break
eventually on max retries.
this is in preparation for adding more separate "modes" to the tui, in
particular, a "transcript mode" to view a full history once #2316 lands.
1. split apart "tui events" from "app events".
2. remove onboarding-related events from AppEvent.
3. move several general drawing tools out of App and into a new Tui
class
## Summary
Follow up to #2186 for #2072 - we added handling for `applypatch` in
default commands, but forgot to add detection to the heredocs logic.
## Testing
- [x] Added unit tests
- For selectable options, use sentences starting in lowercase and not
ending with periods. To be honest I don't love this style, but better to
be consistent for now.
- Tweak some other strings.
- Put in more compelling suggestions on launch. Excited to put `/mcp` in
there next.
ChatGPT token's live for only 1 hour. If the session is longer we don't
refresh the token. We should get the expiry timestamp and attempt to
refresh before it.
Codex created this PR from the following prompt:
> upgrade this entire repo to Rust 1.89. Note that this requires
updating codex-rs/rust-toolchain.toml as well as the workflows in
.github/. Make sure that things are "clippy clean" as this change will
likely uncover new Clippy errors. `just fmt` and `cargo clippy --tests`
are sufficient to check for correctness
Note this modifies a lot of lines because it folds nested `if`
statements using `&&`.
---
[//]: # (BEGIN SAPLING FOOTER)
Stack created with [Sapling](https://sapling-scm.com). Best reviewed
with [ReviewStack](https://reviewstack.dev/openai/codex/pull/2465).
* #2467
* __->__ #2465
The `ubuntu-24.04 - x86_64-unknown-linux-gnu` build is failing with `No
space left on device` on #2465, so let's get this in first, which should
help.
Note that `cargo check` should be faster and use less disk than `cargo
build` because it does not write out the object files.
## Summary
- just want to declutter the top level workspace section
## Testing
- `just fmt`
- `just fix` *(fails: error[E0658] let expressions in this position are
unstable in codex-protocol)*
- `cargo test -p codex-tui` *(fails: error[E0658] let expressions in
this position are unstable)*
------
https://chatgpt.com/codex/tasks/task_i_68a4a7311dbc832caf14f52e0fbaf9c2
Ensure Emacs-style Ctrl-b/Ctrl-f work when terminals send bare control
chars.
- Map ^B (U+0002) to move left when no CONTROL modifier is reported.
- Map ^F (U+0006) to move right when no CONTROL modifier is reported.
- Preserve existing Ctrl-b/Ctrl-f and Alt-b/Alt-f behavior.
- Add unit test covering the fallback path.
Background: Ghostty (and some tmux/terminal configs) can emit bare
control characters for Ctrl-b/Ctrl-f. Previously these could be treated
as literal input; with this change both styles behave identically.
## Summary
Adds a `/mcp` command to list active tools. We can extend this command
to allow configuration of MCP tools, but for now a simple list command
will help debug if your config.toml and your tools are working as
expected.
- Prevents the % left indicator from immediately decrementing to ~97%.
- Tested by prompting "hi" and noting it only decremented to 99%. And by
adding a bunch of debug logs and observing numbers.
Motivation: we have users who uses their API key although they want to
use ChatGPT account. We want to give them the chance to always login
with their account.
This PR displays login options when the user is not signed in with
ChatGPT. Even if you have set an OpenAI API key as an environment
variable, you will still be prompted to log in with ChatGPT.
We’ve also added a new flag, `always_use_api_key_signing` false by
default, which ensures you are never asked to log in with ChatGPT and
always defaults to using your API key.
https://github.com/user-attachments/assets/b61ebfa9-3c5e-4ab7-bf94-395c23a0e0af
After ChatGPT sign in:
https://github.com/user-attachments/assets/d58b366b-c46a-428f-a22f-2ac230f991c0
Updates the tokio task that monitors `shutdown_notify` and server
requests to ensure that `server.unblock()` is always called, which means
that `ShutdownHandle` only has to invoke `notify_waiters()`.
Now `LoginServer` no longer has to maintain a reference to `Server`. The
`Arc<Server>` only has two active references: the `thread::spawn()` for
reading server messages and the `tokio::task()` that consumes them (and
the shutdown message). Now when shutdown is called (or if login
completes successfully), the `server.unblock()` call ensures the thread
terminates cleanly, which in turn ensures `rx.recv()` in the
`tokio::spawn()` returns `Err`, causing the `tokio::task()` to exit
cleanly, as well.
---
[//]: # (BEGIN SAPLING FOOTER)
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* #2399
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* #2396
* #2395
* #2394
* #2393
* #2389
Folds the top-level `shutdown()` function into a method of
`ShutdownHandle` and then simply stores `ShutdownHandle` on
`LoginServer` since the two fields it contains were always being used
together, anyway.
---
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* #2399
* #2398
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* #2395
* #2394
* #2393
* #2389
https://github.com/openai/codex/pull/2373 introduced
`ServerOptions.login_timeout` and `spawn_timeout_watcher()` to use an
extra thread to manage the timeout for the login server. Now that we
have asyncified the login stack, we can use `tokio::time::timeout()`
from "outside" the login library to manage the timeout rather than
having to a commit to a specific "timeout" concept from within.
---
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* #2398
* #2396
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* #2394
* #2393
* #2389
Prior to this PR, we had:
71cae06e66/codex-rs/login/src/server.rs (L141-L142)
which means that we could be blocked waiting for a new request in
`server_for_thread.recv()` and not notice that the state of
`shutdown_flag` had changed.
With this PR, we use `shutdown_flag: Notify` so that we can
`tokio::select!` on `shutdown_notify.notified()` and `rx.recv()` (which
is the "async stream" of requests read from `server_for_thread.recv()`)
and handle whichever one happens first.
---
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* #2399
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* #2396
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* #2393
* #2389
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Bumps [clap](https://github.com/clap-rs/clap) from 4.5.43 to 4.5.45.
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Bumps [anyhow](https://github.com/dtolnay/anyhow) from 1.0.98 to 1.0.99.
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This pull request resolves#2391. ctrl + h is not assigned to any other
operations at this moment, and this feature request sounds valid to me.
If we don't prefer having this, please feel free to close this.
The existing `wire_format.rs` should share more types with the
`codex-protocol` crate (like `AskForApproval` instead of maintaining a
parallel `CodexToolCallApprovalPolicy` enum), so this PR moves
`wire_format.rs` into `codex-protocol`, renaming it as
`mcp-protocol.rs`. We also de-dupe types, where appropriate.
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New style guide:
# Headers, primary, and secondary text
- **Headers:** Use `bold`. For markdown with various header levels,
leave in the `#` signs.
- **Primary text:** Default.
- **Secondary text:** Use `dim`.
# Foreground colors
- **Default:** Most of the time, just use the default foreground color.
`reset` can help get it back.
- **Selection:** Use ANSI `blue`. (Ed & AE want to make this cyan too,
but we'll do that in a followup since it's riskier in different themes.)
- **User input tips and status indicators:** Use ANSI `cyan`.
- **Success and additions:** Use ANSI `green`.
- **Errors, failures and deletions:** Use ANSI `red`.
- **Codex:** Use ANSI `magenta`.
# Avoid
- Avoid custom colors because there's no guarantee that they'll contrast
well or look good on various terminal color themes.
- Avoid ANSI `black`, `white`, `yellow` as foreground colors because the
terminal theme will do a better job. (Use `reset` if you need to in
order to get those.) The exception is if you need contrast rendering
over a manually colored background.
(There are some rules to try to catch this in `clippy.toml`.)
# Testing
Tested in a variety of light and dark color themes in Terminal, iTerm2, and Ghostty.
Introduces `EventMsg::TurnAborted` that should be sent in response to
`Op::Interrupt`.
In the MCP server, updates the handling of a
`ClientRequest::InterruptConversation` request such that it sends the
`Op::Interrupt` but does not respond to the request until it sees an
`EventMsg::TurnAborted`.
This PR adds two new APIs for the MCP server: 1) loginChatGpt, and 2)
cancelLoginChatGpt. The first starts a login server and returns a local
URL that allows for browser-based authentication, and the second
provides a way to cancel the login attempt. If the login attempt
succeeds, a notification (in the form of an event) is sent to a
subscriber.
I also added a timeout mechanism for the existing login server. The
loginChatGpt code path uses a 10-minute timeout by default, so if the
user fails to complete the login flow in that timeframe, the login
server automatically shuts down. I tested the timeout code by manually
setting the timeout to a much lower number and confirming that it works
as expected when used e2e.
## Summary
- Show a temporary Working on diff state in the bottom pan
- Add `DiffResult` app event and dispatch git diff asynchronously
## Testing
- `just fmt`
- `just fix` *(fails: `let` expressions in this position are unstable)*
- `cargo test --all-features` *(fails: `let` expressions in this
position are unstable)*
------
https://chatgpt.com/codex/tasks/task_i_689a839f32b88321840a893551d5fbef
This pull request resolves#2296; I've confirmed if it works by:
1. Add settings to ~/.codex/config.toml:
```toml
model_reasoning_effort = "minimal"
```
2. Run the CLI:
```
cd codex-rs
cargo build && RUST_LOG=trace cargo run --bin codex
/status
tail -f ~/.codex/log/codex-tui.log
```
Co-authored-by: pakrym-oai <pakrym@openai.com>
This adds a new request type, `SendUserTurn`, that makes it possible to
submit a `Op::UserTurn` operation (introduced in #2329) to a
conversation. This PR also adds a new integration test that verifies
that changing from `AskForApproval::UnlessTrusted` to
`AskForApproval::Never` mid-conversation ensures that an elicitation is
no longer sent for running `python3 -c print(42)`.
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* #2329
* #2343
* #2340
* #2338
This introduces `Op::UserTurn`, which makes it possible to override many
of the fields that were set when the `Session` was originally created
when creating a new conversation turn. This is one way we could support
changing things like `model` or `cwd` in the middle of the conversation,
though we may want to consider making each field optional, or
alternatively having a separate `Op` that mutates the `TurnContext`
associated with a `submission_loop()`.
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This PR introduces `TurnContext`, which is designed to hold a set of
fields that should be constant for a turn of a conversation. Note that
the fields of `TurnContext` were previously governed by `Session`.
Ultimately, we want to enable users to change these values between turns
(changing model, approval policy, etc.), though in the current
implementation, the `TurnContext` is constant for the entire
conversation.
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* #2345
* #2329
* __->__ #2343
* #2340
* #2338
I still see flakiness in
`test_shell_command_approval_triggers_elicitation()` on occasion where
`MockServer` claims it has not received all of its expected requests.
I recently introduced a similar type of test in #2264,
`test_codex_jsonrpc_conversation_flow()`, which I have not seen flake
(yet!), so this PR pulls over two things I did in that test:
- increased `worker_threads` from `2` to `4`
- added an assertion to make sure the `task_complete` notification is
received
Honestly, I'm still not sure why `MockServer` claims it sometimes does
not receive all its expected requests given that we assert that the
final `JSONRPCResponse` is read on the stream, but let's give this a
shot.
Assuming this fixes things, my hypothesis is that the increase in
`worker_threads` helps because perhaps there are async tasks in
`MockServer` that do not reliably complete fully when there are not
enough threads available? If that is correct, it seems like the test
would still be flaky, though perhaps with lower frequency?
I was looking at the implementation of `Session::get_writable_roots()`,
which did not seem right, as it was a copy of writable roots, which is
not guaranteed to be in sync with the `sandbox_policy` field.
I looked at who was calling `get_writable_roots()` and its only call
site was `apply_patch()` in `codex-rs/core/src/apply_patch.rs`, which
took the roots and forwarded them to `assess_patch_safety()` in
`safety.rs`. I updated `assess_patch_safety()` to take `sandbox_policy:
&SandboxPolicy` instead of `writable_roots: &[PathBuf]` (and replaced
`Session::get_writable_roots()` with `Session::get_sandbox_policy()`).
Within `safety.rs`, it was fairly easy to update
`is_write_patch_constrained_to_writable_paths()` to work with
`SandboxPolicy`, and in particular, it is far more accurate because, for
better or worse, `SandboxPolicy::get_writable_roots_with_cwd()` _returns
an empty vec_ for `SandboxPolicy::DangerFullAccess`, suggesting that
_nothing_ is writable when in reality _everything_ is writable. With
this PR, `is_write_patch_constrained_to_writable_paths()` now does the
right thing for each variant of `SandboxPolicy`.
I thought this would be the end of the story, but it turned out that
`test_writable_roots_constraint()` in `safety.rs` needed to be updated,
as well. In particular, the test was writing to
`std::env::current_dir()` instead of a `TempDir`, which I suspect was a
holdover from earlier when `SandboxPolicy::WorkspaceWrite` would always
make `TMPDIR` writable on macOS, which made it hard to write tests to
verify `SandboxPolicy` in `TMPDIR`. Fortunately, we now have
`exclude_tmpdir_env_var` as an option on
`SandboxPolicy::WorkspaceWrite`, so I was able to update the test to
preserve the existing behavior, but to no longer write to
`std::env::current_dir()`.
---
[//]: # (BEGIN SAPLING FOOTER)
Stack created with [Sapling](https://sapling-scm.com). Best reviewed
with [ReviewStack](https://reviewstack.dev/openai/codex/pull/2338).
* #2345
* #2329
* #2343
* #2340
* __->__ #2338
## Summary
We've been seeing a number of issues and reports with our synthetic
`apply_patch` tool, e.g. #802. Let's make this a real tool - in my
anecdotal testing, it's critical for GPT-OSS models, but I'd like to
make it the standard across GPT-5 and codex models as well.
## Testing
- [x] Tested locally
- [x] Integration test
Add env var to show the raw, unparsed command line under parsed
commands. When we have transcript mode we should show the full command
there, but this is useful for debugging.
This PR:
* Added the clippy.toml to configure allowable expect / unwrap usage in
tests
* Removed as many expect/allow lines as possible from tests
* moved a bunch of allows to expects where possible
Note: in integration tests, non `#[test]` helper functions are not
covered by this so we had to leave a few lingering `expect(expect_used`
checks around
It turns out that https://github.com/openai/codex/pull/2324 did not
quite work as intended. Chat's new idea is to have this catch-all "CI
results" job and update our branch protection rules to require this
instead.
When using codex-tui on a linux system I was unable to run `cargo
clippy` inside of codex due to:
```
[pid 3548377] socketpair(AF_UNIX, SOCK_SEQPACKET|SOCK_CLOEXEC, 0, <unfinished ...>
[pid 3548370] close(8 <unfinished ...>
[pid 3548377] <... socketpair resumed>0x7ffb97f4ed60) = -1 EPERM (Operation not permitted)
```
And
```
3611300 <... recvfrom resumed>0x708b8b5cffe0, 8, 0, NULL, NULL) = -1 EPERM (Operation not permitted)
```
This PR:
* Fixes a bug that disallowed AF_UNIX to allow it on `socket()`
* Adds recvfrom() to the syscall allow list, this should be fine since
we disable opening new sockets. But we should validate there is not a
open socket inheritance issue.
* Allow socketpair to be called for AF_UNIX
* Adds tests for AF_UNIX components
* All of which allows running `cargo clippy` within the sandbox on
linux, and possibly other tooling using a fork server model + AF_UNIX
comms.
we have a very unclear lifecycle for the chatwidget—this should only
have to be added in one place! but this fixes the "hanging commands"
issue where the active_exec_cell wasn't correctly cleared when commands
finished.
To repro w/o this PR:
1. prompt "run sleep 10"
2. once the command starts running, press <kbd>Esc</kbd>
3. prompt "run echo hi"
Expected:
```
✓ Completed
└ ⌨️ echo hi
codex
hi
```
Actual:
```
⚙︎ Working
└ ⌨️ echo hi
▌ Ask Codex to do anything
```
i.e. the "Working" never changes to "Completed".
The bug is fixed with this PR.
Our existing path filters for `rust-ci.yml`:
235987843c/.github/workflows/rust-ci.yml (L1-L11)
made it so that PRs that touch only `README.md` would not trigger those
builds, which is a problem because our branch protection rules are set
as follows:
<img width="1569" height="1883" alt="Screenshot 2025-08-14 at 4 45
59 PM"
src="https://github.com/user-attachments/assets/5a61f8cc-cdaf-4341-abda-7faa7b46dbd4"
/>
With the existing setup, a change to `README.md` would get stuck in
limbo because not all the CI jobs required to merge would get run. It
turns out that we need to "run" all the jobs, but make them no-ops when
the `codex-rs` and `.github` folders are untouched to get the best of
both worlds.
I asked chat how to fix this, as we want CI to be fast for
documentation-only changes. It had two suggestions:
- Use https://github.com/dorny/paths-filter or some other third-party
action.
- Write an inline Bash script to avoid a third-party dependency.
This PR takes the latter approach so that we are clear about what we're
running in CI.
The high-order bit on this PR is that it makes it so `sandbox.rs` tests
both Mac and Linux, as we introduce a general
`spawn_command_under_sandbox()` function with platform-specific
implementations for testing.
An important, and interesting, discovery in porting the test to Linux is
that (for reasons cited in the code comments), `/dev/shm` has to be
added to `writable_roots` on Linux in order for `multiprocessing.Lock`
to work there. Granting write access to `/dev/shm` comes with some
degree of risk, so we do not make this the default for Codex CLI.
Piggybacking on top of #2317, this moves the
`python_multiprocessing_lock_works` test yet again, moving
`codex-rs/core/tests/sandbox.rs` to `codex-rs/exec/tests/sandbox.rs`
because in `codex-rs/exec/tests` we can use `cargo_bin()` like so:
```
let codex_linux_sandbox_exe = assert_cmd::cargo::cargo_bin("codex-exec");
```
which is necessary so we can use `codex_linux_sandbox_exe` and therefore
`spawn_command_under_linux_sandbox` in an integration test.
This also moves `spawn_command_under_linux_sandbox()` out of `exec.rs`
and into `landlock.rs`, which makes things more consistent with
`seatbelt.rs` in `codex-core`.
For reference, https://github.com/openai/codex/pull/1808 is the PR that
made the change to Seatbelt to get this test to pass on Mac.
Previous to this PR, `codex-rs/core/tests/sandbox.rs` contained
integration tests that were specific to Seatbelt. This PR moves those
tests to `codex-rs/core/src/seatbelt.rs` and designates
`codex-rs/core/tests/sandbox.rs` to be used as the home for
cross-platform (well, Mac and Linux...) sandbox tests.
To start, this migrates
`python_multiprocessing_lock_works_under_seatbelt()` from #1823 to the
new `sandbox.rs` because this is the type of thing that should work on
both Mac _and_ Linux, though I still need to do some work to clean up
the test so it works on both platforms.
## Summary
- add a unit test to ensure the macOS seatbelt policy allows POSIX
semaphores
- add a macOS-only test that runs a Python multiprocessing Lock under
Seatbelt
## Testing
- `cargo test -p codex_core seatbelt_base_policy_allows_ipc_posix_sem
--no-fail-fast` (failed: failed to download from
`https://static.crates.io/crates/tokio-stream/0.1.17/download`)
- `cargo test -p codex_core seatbelt_base_policy_allows_ipc_posix_sem
--no-fail-fast --offline` (failed: attempting to make an HTTP request,
but --offline was specified)
- `cargo test --all-features --no-fail-fast --offline` (failed:
attempting to make an HTTP request, but --offline was specified)
- `just fmt` (failed: command not found: just)
- `just fix` (failed: command not found: just)
Ran tests locally to confirm it passes on master and failed before my
previous change
------
https://chatgpt.com/codex/tasks/task_i_6890f221e0a4833381cfb53e11499bcc
The "display format" of commands was sometimes producing incorrect
quoting like `echo foo '>' bar`, which is importantly different from the
actual command that was being run. This refactors ParsedCommand to have
a string in `cmd` instead of a vec, as a `vec` can't accurately capture
a full command.
instead of each shimmer needing to have its own animation thread, have
render_ref schedule a new frame if it wants one and coalesce to the
earliest next frame. this also makes the animations
frame-timing-independent, based on start time instead of frame count.
This improves handling of pasted content in the textarea. It's no longer
possible to partially delete a placeholder (e.g. by ^W or ^D), nor is it
possible to place the cursor inside a placeholder. Also, we now render
placeholders in a different color to make them more clearly
differentiated.
https://github.com/user-attachments/assets/2051b3c3-963d-4781-a610-3afee522ae29
#2291 made it so that `Session::new()` is on the critical path to
`Codex::spawn()`, which means it is on the hot path to CLI startup. This
refactors `Session::new()` to run a number of async tasks in parallel
that were previously run serially to try to reduce latency.
## Summary
Currently, we use request-time logic to determine the user_instructions
and environment_context messages. This means that neither of these
values can change over time as conversations go on. We want to add in
additional details here, so we're migrating these to save these messages
to the rollout file instead. This is simpler for the client, and allows
us to append additional environment_context messages to each turn if we
want
## Testing
- [x] Integration test coverage
- [x] Tested locally with a few turns, confirmed model could reference
environment context and cached token metrics were reasonably high
refactors HistoryCell to be a trait instead of an enum. Also collapse
the many "degenerate" HistoryCell enums which were just a store of lines
into a single PlainHistoryCell type.
The goal here is to allow more ways of rendering history cells (e.g.
expanded/collapsed/"live"), and I expect we will return to more varied
types of HistoryCell as we develop this area.
Historically, `Codex::spawn()` would create the instance of `Codex` and
enforce, by construction, that `Op::ConfigureSession` was the first `Op`
submitted via `submit()`. Then over in `submission_loop()`, it would
handle the case for taking the parameters of `Op::ConfigureSession` and
turning it into a `Session`.
This approach has two challenges from a state management perspective:
f968a1327a/codex-rs/core/src/codex.rs (L718)
- The local `sess` variable in `submission_loop()` has to be `mut` and
`Option<Arc<Session>>` because it is not invariant that a `Session` is
present for the lifetime of the loop, so there is a lot of logic to deal
with the case where `sess` is `None` (e.g., the `send_no_session_event`
function and all of its callsites).
- `submission_loop()` is written in such a way that
`Op::ConfigureSession` could be observed multiple times, but in
practice, it is only observed exactly once at the start of the loop.
In this PR, we try to simplify the state management by _removing_ the
`Op::ConfigureSession` enum variant and constructing the `Session` as
part of `Codex::spawn()` so that it can be passed to `submission_loop()`
as `Arc<Session>`. The original logic from the `Op::ConfigureSession`
has largely been moved to the new `Session::new()` constructor.
---
Incidentally, I also noticed that the handling of `Op::ConfigureSession`
can result in events being dispatched in addition to
`EventMsg::SessionConfigured`, as an `EventMsg::Error` is created for
every MCP initialization error, so it is important to preserve that
behavior:
f968a1327a/codex-rs/core/src/codex.rs (L901-L916)
Though admittedly, I believe this does not play nice with #2264, as
these error messages will likely be dispatched before the client has a
chance to call `addConversationListener`, so we likely need to make it
so `newConversation` automatically creates the subscription, but we must
also guarantee that the "ack" from `newConversation` is returned before
any other conversation-related notifications are sent so the client
knows what `conversation_id` to match on.
As `Session` needs a bit of work, it will make things easier to move
around if we can start by reducing the extent of its public API. This
makes all the fields private, though adds three `pub(crate)` getters.
---
[//]: # (BEGIN SAPLING FOOTER)
Stack created with [Sapling](https://sapling-scm.com). Best reviewed
with [ReviewStack](https://reviewstack.dev/openai/codex/pull/2285).
* #2287
* #2286
* __->__ #2285
Sometimes COT is returns as text content instead of `ReasoningText`. We
should parse it but not serialize back on requests.
---------
Co-authored-by: Ahmed Ibrahim <aibrahim@openai.com>
This updates `CodexMessageProcessor` so that each notification it sends
for a `EventMsg` from a `CodexConversation` such that:
- The `params` always has an appropriate `conversationId` field.
- The `method` is now includes the name of the `EventMsg` type rather
than using `codex/event` as the `method` type for all notifications. (We
currently prefix the method name with `codex/event/`, but I think that
should go away once we formalize the notification schema in
`wire_format.rs`.)
As part of this, we update `test_codex_jsonrpc_conversation_flow()` to
verify that the `task_finished` notification has made it through the
system instead of sleeping for 5s and "hoping" the server finished
processing the task. Note we have seen some flakiness in some of our
other, similar integration tests, and I expect adding a similar check
would help in those cases, as well.
This introduces a new set of request types that our `codex mcp`
supports. Note that these do not conform to MCP tool calls so that
instead of having to send something like this:
```json
{
"jsonrpc": "2.0",
"method": "tools/call",
"id": 42,
"params": {
"name": "newConversation",
"arguments": {
"model": "gpt-5",
"approvalPolicy": "on-request"
}
}
}
```
we can send something like this:
```json
{
"jsonrpc": "2.0",
"method": "newConversation",
"id": 42,
"params": {
"model": "gpt-5",
"approvalPolicy": "on-request"
}
}
```
Admittedly, this new format is not a valid MCP tool call, but we are OK
with that right now. (That is, not everything we might want to request
of `codex mcp` is something that is appropriate for an autonomous agent
to do.)
To start, this introduces four request types:
- `newConversation`
- `sendUserMessage`
- `addConversationListener`
- `removeConversationListener`
The new `mcp-server/tests/codex_message_processor_flow.rs` shows how
these can be used.
The types are defined on the `CodexRequest` enum, so we introduce a new
`CodexMessageProcessor` that is responsible for dealing with requests
from this enum. The top-level `MessageProcessor` has been updated so
that when `process_request()` is called, it first checks whether the
request conforms to `CodexRequest` and dispatches it to
`CodexMessageProcessor` if so.
Note that I also decided to use `camelCase` for the on-the-wire format,
as that seems to be the convention for MCP.
For the moment, the new protocol is defined in `wire_format.rs` within
the `mcp-server` crate, but in a subsequent PR, I will probably move it
to its own crate to ensure the protocol has minimal dependencies and
that we can codegen a schema from it.
---
[//]: # (BEGIN SAPLING FOOTER)
Stack created with [Sapling](https://sapling-scm.com). Best reviewed
with [ReviewStack](https://reviewstack.dev/openai/codex/pull/2264).
* #2278
* __->__ #2264
## Summary
- enable reasoning for any model slug starting with `codex-`
- provide default model info for `codex-*` slugs
- test that codex models are detected and support reasoning
## Testing
- `just fmt`
- `just fix` *(fails: E0658 `let` expressions in this position are
unstable)*
- `cargo test --all-features` *(fails: E0658 `let` expressions in this
position are unstable)*
------
https://chatgpt.com/codex/tasks/task_i_689d13f8705483208a6ed21c076868e1
I put this PR together because I noticed I have to wait quite a bit
longer on my PRs since we added
https://github.com/openai/codex/pull/2242 to catch more build issues.
I think we should think about reigning in our use of create features,
but this should be good enough to speed things up for now.
## Summary
Ripgrep is our preferred tool for file search. When users install via
`brew install codex`, it's automatically installed as a dependency. We
want to ensure that users running via an npm install also have this
tool! Microsoft has already solved this problem for VS Code - let's not
reinvent the wheel.
This approach of appending to the PATH directly might be a bit
heavy-handed, but feels reasonably robust to a variety of environment
concerns. Open to thoughts on better approaches here!
## Testing
- [x] confirmed this import approach works with `node -e "const { rgPath
} = require('@vscode/ripgrep'); require('child_process').spawn(rgPath,
['--version'], { stdio: 'inherit' })"`
- [x] Ran codex.js locally with `rg` uninstalled, asked it to run `which
rg`. Output below:
```
⚡ Ran command which rg; echo $?
⎿ /Users/dylan.hurd/code/dh--npm-rg/node_modules/@vscode/ripgrep/bin/rg
0
codex
Re-running to confirm the path and exit code.
- Path: `/Users/dylan.hurd/code/dh--npm-rg/node_modules/@vscode/ripgrep/bin/rg`
- Exit code: `0`
```
This PR does two things because after I got deep into the first one I
started pulling on the thread to the second:
- Makes `ConversationManager` the place where all in-memory
conversations are created and stored. Previously, `MessageProcessor` in
the `codex-mcp-server` crate was doing this via its `session_map`, but
this is something that should be done in `codex-core`.
- It unwinds the `ctrl_c: tokio::sync::Notify` that was threaded
throughout our code. I think this made sense at one time, but now that
we handle Ctrl-C within the TUI and have a proper `Op::Interrupt` event,
I don't think this was quite right, so I removed it. For `codex exec`
and `codex proto`, we now use `tokio::signal::ctrl_c()` directly, but we
no longer make `Notify` a field of `Codex` or `CodexConversation`.
Changes of note:
- Adds the files `conversation_manager.rs` and `codex_conversation.rs`
to `codex-core`.
- `Codex` and `CodexSpawnOk` are no longer exported from `codex-core`:
other crates must use `CodexConversation` instead (which is created via
`ConversationManager`).
- `core/src/codex_wrapper.rs` has been deleted in favor of
`ConversationManager`.
- `ConversationManager::new_conversation()` returns `NewConversation`,
which is in line with the `new_conversation` tool we want to add to the
MCP server. Note `NewConversation` includes `SessionConfiguredEvent`, so
we eliminate checks in cases like `codex-rs/core/tests/client.rs` to
verify `SessionConfiguredEvent` is the first event because that is now
internal to `ConversationManager`.
- Quite a bit of code was deleted from
`codex-rs/mcp-server/src/message_processor.rs` since it no longer has to
manage multiple conversations itself: it goes through
`ConversationManager` instead.
- `core/tests/live_agent.rs` has been deleted because I had to update a
bunch of tests and all the tests in here were ignored, and I don't think
anyone ever ran them, so this was just technical debt, at this point.
- Removed `notify_on_sigint()` from `util.rs` (and in a follow-up, I
hope to refactor the blandly-named `util.rs` into more descriptive
files).
- In general, I started replacing local variables named `codex` as
`conversation`, where appropriate, though admittedly I didn't do it
through all the integration tests because that would have added a lot of
noise to this PR.
---
[//]: # (BEGIN SAPLING FOOTER)
Stack created with [Sapling](https://sapling-scm.com). Best reviewed
with [ReviewStack](https://reviewstack.dev/openai/codex/pull/2240).
* #2264
* #2263
* __->__ #2240
## Summary
- support Ctrl-b and Ctrl-f to move the cursor left and right in the
chat composer text area
- test Ctrl-b/Ctrl-f cursor movements
## Testing
- `just fmt`
- `just fix` *(fails: `let` expressions in this position are unstable)*
- `cargo test --all-features` *(fails: `let` expressions in this
position are unstable)*
------
https://chatgpt.com/codex/tasks/task_i_689cbd1d7968832e876fff169891e486
## Summary
- ensure CLI help uses `codex` as program name regardless of binary
filename
## Testing
- `just fmt`
- `just fix` *(fails: `let` expressions in this position are unstable)*
- `cargo test --all-features` *(fails: `let` expressions in this
position are unstable)*
------
https://chatgpt.com/codex/tasks/task_i_689bd5a731188320814dcbbc546ce22a
Wait for newlines, then render markdown on a line by line basis. Word wrap it for the current terminal size and then spit it out line by line into the UI. Also adds tests and fixes some UI regressions.
## Summary
- Display "Update plan" instead of "Update to do" when the plan is
updated in the TUI
## Testing
- `just fmt`
- `just fix` *(fails: E0658 `let` expressions in this position are
unstable)*
- `cargo test --all-features` *(fails: E0658 `let` expressions in this
position are unstable)*
------
https://chatgpt.com/codex/tasks/task_i_6897f78fc5908322be488f02db42a5b9
## Summary
In #1939 we overhauled a lot of our prompt. This was largely good, but
we're seeing some specific points of confusion from the model! This
prompt update attempts to address 3 of them:
- Enforcing the use of `ripgrep`, which is bundled as a dependency when
installed with homebrew. We should do the same on node (in progress)
- Explicit guidance on reading files in chunks.
- Slight adjustment to networking sandbox language. `enabled` /
`restricted` is anecdotally less confusing to the model and requires
less reasoning to escalate for approval.
We are going to continue iterating on shell usage and tools, but this
restores us to best practices for current model snapshots.
## Testing
- [x] evals
- [x] local testing
Is Codex missing a feature that you'd like to see? Feel free to propose it here.
Before you submit a feature:
1. Search existing issues for similar features. If you find one, 👍 it rather than opening a new one.
2. The Codex team will try to balance the varying needs of the community when prioritizing or rejecting new features. Not all features will be accepted. See [Contributing](https://github.com/openai/codex#contributing) for more details.
- type:textarea
id:feature
attributes:
label:What feature would you like to see?
validations:
required:true
- type:textarea
id:author
attributes:
label:Are you interested in implementing this feature?
description:Please wait for acknowledgement before implementing or opening a PR.
- type:textarea
id:notes
attributes:
label:Additional information
description:Is there anything else you think we should know?
description:Report an issue with the VS Code extension
labels:
- extension
- needs triage
body:
- type:markdown
attributes:
value:|
Before submitting a new issue, please search for existing issues to see if your issue has already been reported.
If it has, please add a 👍 reaction (no need to leave a comment) to the existing issue instead of creating a new one.
- type:input
id:version
attributes:
label:What version of the VS Code extension are you using?
- type:input
id:ide
attributes:
label:Which IDE are you using?
description:Like `VS Code`, `Cursor`, `Windsurf`, etc.
- type:input
id:platform
attributes:
label:What platform is your computer?
description:|
For MacOS and Linux: copy the output of `uname -mprs`
For Windows: copy the output of `"$([Environment]::OSVersion | ForEach-Object VersionString) $(if ([Environment]::Is64BitOperatingSystem) { "x64" } else { "x86" })"` in the PowerShell console
- type:textarea
id:steps
attributes:
label:What steps can reproduce the bug?
description:Explain the bug and provide a code snippet that can reproduce it.
validations:
required:true
- type:textarea
id:expected
attributes:
label:What is the expected behavior?
description:If possible, please provide text instead of a screenshot.
- type:textarea
id:actual
attributes:
label:What do you see instead?
description:If possible, please provide text instead of a screenshot.
- type:textarea
id:notes
attributes:
label:Additional information
description:Is there anything else you think we should know?
`openai/codex-action` is a GitHub Action that facilitates the use of [Codex](https://github.com/openai/codex) on GitHub issues and pull requests. Using the action, associate **labels** to run Codex with the appropriate prompt for the given context. Codex will respond by posting comments or creating PRs, whichever you specify!
Here is a sample workflow that uses `openai/codex-action`:
```yaml
name:Codex
on:
issues:
types:[opened, labeled]
pull_request:
branches:[main]
types:[labeled]
jobs:
codex:
if:...# optional, but can be effective in conserving CI resources
runs-on:ubuntu-latest
# TODO(mbolin): Need to verify if/when `write` is necessary.
permissions:
contents:write
issues:write
pull-requests:write
steps:
# By default, Codex runs network disabled using --full-auto, so perform
# any setup that requires network (such as installing dependencies)
See sample usage in [`codex.yml`](../../workflows/codex.yml).
## Triggering the Action
Using the sample workflow above, we have:
```yaml
on:
issues:
types:[opened, labeled]
pull_request:
branches:[main]
types:[labeled]
```
which means our workflow will be triggered when any of the following events occur:
- a label is added to an issue
- a label is added to a pull request against the `main` branch
### Label-Based Triggers
To define a GitHub label that should trigger Codex, create a file named `.github/codex/labels/LABEL-NAME.md` in your repository where `LABEL-NAME` is the name of the label. The content of the file is the prompt template to use when the label is added (see more on [Prompt Template Variables](#prompt-template-variables) below).
For example, if the file `.github/codex/labels/codex-review.md` exists, then:
- Adding the `codex-review` label will trigger the workflow containing the `openai/codex-action` GitHub Action.
- When `openai/codex-action` starts, it will replace the `codex-review` label with `codex-review-in-progress`.
- When `openai/codex-action` is finished, it will replace the `codex-review-in-progress` label with `codex-review-completed`.
If Codex sees that either `codex-review-in-progress` or `codex-review-completed` is already present, it will not perform the action.
As determined by the [default config](./src/default-label-config.ts), Codex will act on the following labels by default:
- Adding the `codex-review` label to a pull request will have Codex review the PR and add it to the PR as a comment.
- Adding the `codex-triage` label to an issue will have Codex investigate the issue and report its findings as a comment.
- Adding the `codex-issue-fix` label to an issue will have Codex attempt to fix the issue and create a PR wit the fix, if any.
## Action Inputs
The `openai/codex-action` GitHub Action takes the following inputs
### `openai_api_key` (required)
Set your `OPENAI_API_KEY` as a [repository secret](https://docs.github.com/en/actions/security-for-github-actions/security-guides/using-secrets-in-github-actions). See **Secrets and varaibles** then **Actions** in the settings for your GitHub repo.
Note that the secret name does not have to be `OPENAI_API_KEY`. For example, you might want to name it `CODEX_OPENAI_API_KEY` and then configure it on `openai/codex-action` as follows:
This is required so that Codex can post a comment or create a PR. Set this value on the action as follows:
```yaml
github_token:${{ secrets.GITHUB_TOKEN }}
```
### `codex_args`
A whitespace-delimited list of arguments to pass to Codex. Defaults to `--full-auto`, but if you want to override the default model to use `o3`:
```yaml
codex_args:"--full-auto --model o3"
```
For more complex configurations, use the `codex_home` input.
### `codex_home`
If set, the value to use for the `$CODEX_HOME` environment variable when running Codex. As explained [in the docs](https://github.com/openai/codex/tree/main/codex-rs#readme), this folder can contain the `config.toml` to configure Codex, custom instructions, and log files.
This should be a relative path within your repo.
## Prompt Template Variables
As shown above, `"prompt"` and `"promptPath"` are used to define prompt templates that will be populated and passed to Codex in response to certain events. All template variables are of the form `{CODEX_ACTION_...}` and the supported values are defined below.
### `CODEX_ACTION_ISSUE_TITLE`
If the action was triggered on a GitHub issue, this is the issue title.
Specifically it is read as the `.issue.title` from the `$GITHUB_EVENT_PATH`.
### `CODEX_ACTION_ISSUE_BODY`
If the action was triggered on a GitHub issue, this is the issue body.
Specifically it is read as the `.issue.body` from the `$GITHUB_EVENT_PATH`.
### `CODEX_ACTION_GITHUB_EVENT_PATH`
The value of the `$GITHUB_EVENT_PATH` environment variable, which is the path to the file that contains the JSON payload for the event that triggered the workflow. Codex can use `jq` to read only the fields of interest from this file.
### `CODEX_ACTION_PR_DIFF`
If the action was triggered on a pull request, this is the diff between the base and head commits of the PR. It is the output from `git diff`.
Note that the content of the diff could be quite large, so is generally safer to point Codex at `CODEX_ACTION_GITHUB_EVENT_PATH` and let it decide how it wants to explore the change.
description:"A reusable action that runs a Codex model."
inputs:
openai_api_key:
description:"The value to use as the OPENAI_API_KEY environment variable when running Codex."
required:true
trigger_phrase:
description:"Text to trigger Codex from a PR/issue body or comment."
required:false
default:""
github_token:
description:"Token so Codex can comment on the PR or issue."
required:true
codex_args:
description:"A whitespace-delimited list of arguments to pass to Codex. Due to limitations in YAML, arguments with spaces are not supported. For more complex configurations, use the `codex_home` input."
Provide a concise and respectful comment summarizing the findings.
### {CODEX_ACTION_ISSUE_TITLE}
{CODEX_ACTION_ISSUE_BODY}
`.trim(),
},
"codex-code-review":{
getPromptTemplate:()=>
`
Review this PR and respond with a very concise final message, formatted in Markdown.
There should be a summary of the changes (1-2 sentences) and a few bullet points if necessary.
Then provide the **review** (1-2 sentences plus bullet points, friendly tone).
{CODEX_ACTION_GITHUB_EVENT_PATH} contains the JSON that triggered this GitHub workflow. It contains the \`base\` and \`head\` refs that define this PR. Both refs are available locally.
`.trim(),
},
"codex-attempt-fix":{
getPromptTemplate:()=>
`
Attempt to solve the reported issue.
If a code change is required, create a new branch, commit the fix, and open a pull-request that resolves the problem.
- Crate names are prefixed with `codex-`. For examole, the `core` folder's crate is named `codex-core`
- Crate names are prefixed with `codex-`. For example, the `core` folder's crate is named `codex-core`
- When using format! and you can inline variables into {}, always do that.
- Never add or modify any code related to `CODEX_SANDBOX_NETWORK_DISABLED_ENV_VAR` or `CODEX_SANDBOX_ENV_VAR`.
- You operate in a sandbox where `CODEX_SANDBOX_NETWORK_DISABLED=1` will be set whenever you use the `shell` tool. Any existing code that uses `CODEX_SANDBOX_NETWORK_DISABLED_ENV_VAR` was authored with this fact in mind. It is often used to early exit out of tests that the author knew you would not be able to run given your sandbox limitations.
- Similarly, when you spawn a process using Seatbelt (`/usr/bin/sandbox-exec`), `CODEX_SANDBOX=seatbelt` will be set on the child process. Integration tests that want to run Seatbelt themselves cannot be run under Seatbelt, so checks for `CODEX_SANDBOX=seatbelt` are also often used to early exit out of tests, as appropriate.
Before creating a pull request with changes to `codex-rs`, run `just fmt` (in `codex-rs` directory) to format the code and `just fix` (in `codex-rs` directory) to fix any linter issues in the code, ensure the test suite passes by running `cargo test --all-features` in the `codex-rs` directory.
Run `just fmt` (in `codex-rs` directory) automatically after making Rust code changes; do not ask for approval to run it. Before finalizing a change to `codex-rs`, run `just fix -p <project>` (in `codex-rs` directory) to fix any linter issues in the code. Prefer scoping with `-p` to avoid slow workspace‑wide Clippy builds; only run `just fix` without `-p` if you changed shared crates. Additionally, run the tests:
1. Run the test for the specific project that was changed. For example, if changes were made in `codex-rs/tui`, run `cargo test -p codex-tui`.
2. Once those pass, if any changes were made in common, core, or protocol, run the complete test suite with `cargo test --all-features`.
When running interactively, ask the user before running `just fix` to finalize. `just fmt` does not require approval. project-specific or individual tests can be run without asking the user, but do ask the user before running the complete test suite.
When making individual changes prefer running tests on individual files or projects first.
## TUI style conventions
See `codex-rs/tui/styles.md`.
## TUI code conventions
- Use concise styling helpers from ratatui’s Stylize trait.
- Basic spans: use "text".into()
- Styled spans: use "text".red(), "text".green(), "text".magenta(), "text".dim(), etc.
- Prefer these over constructing styles with `Span::styled` and `Style` directly.
- Prefer Stylize helpers: use "text".dim(), .bold(), .cyan(), .italic(), .underlined() instead of manual Style where possible.
- Prefer simple conversions: use "text".into() for spans and vec![…].into() for lines; when inference is ambiguous (e.g., Paragraph::new/Cell::from), use Line::from(spans) or Span::from(text).
- Computed styles: if the Style is computed at runtime, using `Span::styled` is OK (`Span::from(text).set_style(style)` is also acceptable).
- Avoid hardcoded white: do not use `.white()`; prefer the default foreground (no color).
- Chaining: combine helpers by chaining for readability (e.g., url.cyan().underlined()).
- Single items: prefer "text".into(); use Line::from(text) or Span::from(text) only when the target type isn’t obvious from context, or when using .into() would require extra type annotations.
- Building lines: use vec![…].into() to construct a Line when the target type is obvious and no extra type annotations are needed; otherwise use Line::from(vec![…]).
- Avoid churn: don’t refactor between equivalent forms (Span::styled ↔ set_style, Line::from ↔ .into()) without a clear readability or functional gain; follow file‑local conventions and do not introduce type annotations solely to satisfy .into().
- Compactness: prefer the form that stays on one line after rustfmt; if only one of Line::from(vec![…]) or vec![…].into() avoids wrapping, choose that. If both wrap, pick the one with fewer wrapped lines.
### Text wrapping
- Always use textwrap::wrap to wrap plain strings.
- If you have a ratatui Line and you want to wrap it, use the helpers in tui/src/wrapping.rs, e.g. word_wrap_lines / word_wrap_line.
- If you need to indent wrapped lines, use the initial_indent / subsequent_indent options from RtOptions if you can, rather than writing custom logic.
- If you have a list of lines and you need to prefix them all with some prefix (optionally different on the first vs subsequent lines), use the `prefix_lines` helper from line_utils.
## Tests
### Snapshot tests
This repo uses snapshot tests (via `insta`), especially in `codex-rs/tui`, to validate rendered output. When UI or text output changes intentionally, update the snapshots as follows:
- Run tests to generate any updated snapshots:
-`cargo test -p codex-tui`
- Check what’s pending:
-`cargo insta pending-snapshots -p codex-tui`
- Review changes by reading the generated `*.snap.new` files directly in the repo, or preview a specific file:
-`cargo insta show -p codex-tui path/to/file.snap.new`
- Only if you intend to accept all new snapshots in this crate, run:
-`cargo insta accept -p codex-tui`
If you don’t have the tool:
-`cargo install cargo-insta`
### Test assertions
- Tests should use pretty_assertions::assert_eq for clearer diffs. Import this at the top of the test module if it isn't already.
<p align="center"><strong>Codex CLI</strong> is a coding agent from OpenAI that runs locally on your computer.</br>If you are looking for the <em>cloud-based agent</em> from OpenAI, <strong>Codex Web</strong>, see <a href="https://chatgpt.com/codex">chatgpt.com/codex</a>.</p>
Run `codex` and select **Sign in with ChatGPT**. You'll need a Plus, Pro, or Team ChatGPT account, and will get access to our latest models, including `gpt-5`, at no extra cost to your plan. (Enterprise is coming soon.)
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](https://help.openai.com/en/articles/11369540-codex-in-chatgpt).
> Important: If you've used the Codex CLI before, follow these steps to migrate fromusage-basedbilling with your API key:
>
> 1. Update the CLI and ensure `codex --version` is `0.20.0` or later
> 2. Delete `~/.codex/auth.json` (this should be `C:\Users\USERNAME\.codex\auth.json` on Windows)
> 3. Run `codex login` again
You can also use Codex with an API key, but this requires [additional setup](./docs/authentication.md#usage-based-billing-alternative-use-an-openai-api-key). If you previously used an API key for usage-based billing, see the [migration steps](./docs/authentication.md#migrating-from-usage-based-billing-api-key). If you're having trouble with login, please comment on [this issue](https://github.com/openai/codex/issues/1243).
If you encounter problems with the login flow, please comment on [this issue](https://github.com/openai/codex/issues/1243).
### Model Context Protocol (MCP)
### Connecting on a "Headless" Machine
Codex CLI supports [MCP servers](./docs/advanced.md#model-context-protocol-mcp). Enable by adding an `mcp_servers` section to your `~/.codex/config.toml`.
Today, the login process entails running a server on `localhost:1455`. If you are on a "headless" server, such as a Docker container or are `ssh`'d into a remote machine, loading `localhost:1455` in the browser on your local machine will not automatically connect to the webserver running on the _headless_ machine, so you must use one of the following workarounds:
#### Authenticate locally and copy your credentials to the "headless" machine
### Configuration
The easiest solution is likely to run through the `codex login` process on your local machine such that `localhost:1455`_is_ accessible in your web browser. When you complete the authentication process, an `auth.json` file should be available at `$CODEX_HOME/auth.json` (on Mac/Linux, `$CODEX_HOME` defaults to `~/.codex` whereas on Windows, it defaults to `%USERPROFILE%\.codex`).
Because the `auth.json` file is not tied to a specific host, once you complete the authentication flow locally, you can copy the `$CODEX_HOME/auth.json` file to the headless machine and then `codex` should "just work" on that machine. Note to copy a file to a Docker container, you can do:
```shell
# substitute MY_CONTAINER with the name or id of your Docker container:
If you run Codex on a remote machine (VPS/server) without a local browser, the login helper starts a server on `localhost:1455` on the remote host. To complete login in your local browser, forward that port to your machine before starting the login flow:
```bash
# From your local machine
ssh -L 1455:localhost:1455 <user>@<remote-host>
```
Then, in that SSH session, run `codex` and select "Sign in with ChatGPT". When prompted, open the printed URL (it will be `http://localhost:1455/...`) in your local browser. The traffic will be tunneled to the remote server.
### Usage-based billing alternative: Use an OpenAI API key
If you prefer to pay-as-you-go, you can still authenticate with your OpenAI API key by setting it as an environment variable:
```shell
exportOPENAI_API_KEY="your-api-key-here"
```
Notes:
- This command only sets the key for your current terminal session, which we recommend. To set it for all future sessions, you can also add the `export` line to your shell's configuration file (e.g., `~/.zshrc`).
- If you have signed in with ChatGPT, Codex will default to using your ChatGPT credits. If you wish to use your API key, use the `/logout` command to clear your ChatGPT authentication.
### Choosing Codex's level of autonomy
We always recommend running Codex in its default sandbox that gives you strong guardrails around what the agent can do. The default sandbox prevents it from editing files outside its workspace, or from accessing the network.
When you launch Codex in a new folder, it detects whether the folder is version controlled and recommends one of two levels of autonomy:
#### **1. Read/write**
- Codex can run commands and write files in the workspace without approval.
- To write files in other folders, access network, update git or perform other actions protected by the sandbox, Codex will need your permission.
- By default, the workspace includes the current directory, as well as temporary directories like `/tmp`. You can see what directories are in the workspace with the `/status` command. See the docs for how to customize this behavior.
- Advanced: You can manually specify this configuration by running `codex --sandbox workspace-write --ask-for-approval on-request`
- This is the recommended default for version-controlled folders.
#### **2. Read-only**
- Codex can run read-only commands without approval.
- To edit files, access network, or perform other actions protected by the sandbox, Codex will need your permission.
- Advanced: You can manually specify this configuration by running `codex --sandbox read-only --ask-for-approval on-request`
- This is the recommended default non-version-controlled folders.
#### **3. Advanced configuration**
Codex gives you fine-grained control over the sandbox with the `--sandbox` option, and over when it requests approval with the `--ask-for-approval` option. Run `codex help` for more on these options.
#### Can I run without ANY approvals?
Yes, run codex non-interactively with `--ask-for-approval never`. This option works with all `--sandbox` options, so you still have full control over Codex's level of autonomy. It will make its best attempt with whatever contrainsts you provide. For example:
- Use `codex --ask-for-approval never --sandbox read-only` when you are running many agents to answer questions in parallel in the same workspace.
- Use `codex --ask-for-approval never --sandbox workspace-write` when you want the agent to non-interactively take time to produce the best outcome, with strong guardrails around its behavior.
- Use `codex --ask-for-approval never --sandbox danger-full-access` to dangerously give the agent full autonomy. Because this disables important safety mechanisms, we recommend against using this unless running Codex in an isolated environment.
#### Fine-tuning in `config.toml`
```toml
# approval mode
approval_policy="untrusted"
sandbox_mode="read-only"
# full-auto mode
approval_policy="on-request"
sandbox_mode="workspace-write"
# Optional: allow network in workspace-write mode
[sandbox_workspace_write]
network_access=true
```
You can also save presets as **profiles**:
```toml
[profiles.full_auto]
approval_policy="on-request"
sandbox_mode="workspace-write"
[profiles.readonly_quiet]
approval_policy="never"
sandbox_mode="read-only"
```
### Example prompts
Below are a few bite-size examples you can copy-paste. Replace the text in quotes with your own task. See the [prompting guide](https://github.com/openai/codex/blob/main/codex-cli/examples/prompting_guide.md) for more tips and usage patterns.
| 1 | `codex "Refactor the Dashboard component to React Hooks"` | Codex rewrites the class component, runs `npm test`, and shows the diff. |
| 2 | `codex "Generate SQL migrations for adding a users table"` | Infers your ORM, creates migration files, and runs them in a sandboxed DB. |
| 3 | `codex "Write unit tests for utils/date.ts"` | Generates tests, executes them, and iterates until they pass. |
| 4 | `codex "Bulk-rename *.jpeg -> *.jpg with git mv"` | Safely renames files and updates imports/usages. |
| 5 | `codex "Explain what this regex does: ^(?=.*[A-Z]).{8,}$"` | Outputs a step-by-step human explanation. |
| 6 | `codex "Carefully review this repo, and propose 3 high impact well-scoped PRs"` | Suggests impactful PRs in the current codebase. |
| 7 | `codex "Look for vulnerabilities and create a security review report"` | Finds and explains security bugs. |
## Running with a prompt as input
You can also run Codex CLI with a prompt as input:
```shell
codex "explain this codebase to me"
```
```shell
codex --full-auto "create the fanciest todo-list app"
```
That's it - Codex will scaffold a file, run it inside a sandbox, install any
missing dependencies, and show you the live result. Approve the changes and
they'll be committed to your working directory.
## Using Open Source Models
<details>
<summary><strong>Use <code>--profile</code> to use other models</strong></summary>
Codex also allows you to use other providers that support the OpenAI Chat Completions (or Responses) API.
To do so, you must first define custom [providers](./config.md#model_providers) in `~/.codex/config.toml`. For example, the provider for a standard Ollama setup would be defined as follows:
```toml
[model_providers.ollama]
name="Ollama"
base_url="http://localhost:11434/v1"
```
The `base_url` will have `/chat/completions` appended to it to build the full URL for the request.
For providers that also require an `Authorization` header of the form `Bearer: SECRET`, an `env_key` can be specified, which indicates the environment variable to read to use as the value of `SECRET` when making a request:
```toml
[model_providers.openrouter]
name="OpenRouter"
base_url="https://openrouter.ai/api/v1"
env_key="OPENROUTER_API_KEY"
```
Providers that speak the Responses API are also supported by adding `wire_api = "responses"` as part of the definition. Accessing OpenAI models via Azure is an example of such a provider, though it also requires specifying additional `query_params` that need to be appended to the request URL:
```toml
[model_providers.azure]
name="Azure"
# Make sure you set the appropriate subdomain for this URL.
env_key="AZURE_OPENAI_API_KEY"# Or "OPENAI_API_KEY", whichever you use.
# Newer versions appear to support the responses API, see https://github.com/openai/codex/pull/1321
query_params={api-version="2025-04-01-preview"}
wire_api="responses"
```
Once you have defined a provider you wish to use, you can configure it as your default provider as follows:
```toml
model_provider="azure"
```
> [!TIP]
> If you find yourself experimenting with a variety of models and providers, then you likely want to invest in defining a _profile_ for each configuration like so:
```toml
[profiles.o3]
model_provider="azure"
model="o3"
[profiles.mistral]
model_provider="ollama"
model="mistral"
```
This way, you can specify one command-line argument (.e.g., `--profile o3`, `--profile mistral`) to override multiple settings together.
</details>
Codex can run fully locally against an OpenAI-compatible OSS host (like Ollama) using the `--oss` flag:
- Interactive UI:
- codex --oss
- Non-interactive (programmatic) mode:
- echo "Refactor utils" | codex exec --oss
Model selection when using `--oss`:
- If you omit `-m/--model`, Codex defaults to -m gpt-oss:20b and will verify it exists locally (downloading if needed).
- To pick a different size, pass one of:
- -m "gpt-oss:20b"
- -m "gpt-oss:120b"
Point Codex at your own OSS host:
- By default, `--oss` talks to http://localhost:11434/v1.
- To use a different host, set one of these environment variables before running Codex:
Advanced: you can persist this in your config instead of environment variables by overriding the built-in `oss` provider in `~/.codex/config.toml`:
```toml
[model_providers.oss]
name="Open Source"
base_url="http://my-ollama.example.com:11434/v1"
```
Codex CLI supports a rich set of configuration options, with preferences stored in `~/.codex/config.toml`. For full configuration options, see [Configuration](./docs/config.md).
---
### Platform sandboxing details
The mechanism Codex uses to implement the sandbox policy depends on your OS:
-**macOS 12+** uses **Apple Seatbelt** and runs commands using `sandbox-exec` with a profile (`-p`) that corresponds to the `--sandbox` that was specified.
-**Linux** uses a combination of Landlock/seccomp APIs to enforce the `sandbox` configuration.
Note that when running Linux in a containerized environment such as Docker, sandboxing may not work if the host/container configuration does not support the necessary Landlock/seccomp APIs. In such cases, we recommend configuring your Docker container so that it provides the sandbox guarantees you are looking for and then running `codex` with `--sandbox danger-full-access` (or, more simply, the `--dangerously-bypass-approvals-and-sandbox` flag) within your container.
---
## Experimental technology disclaimer
Codex CLI is an experimental project underactive development. It is not yet stable, may contain bugs, incomplete features, or undergo breaking changes. We're building it in the open with the community and welcome:
-Bug reports
-Feature requests
-Pull requests
-Good vibes
Help us improve by filing issues or submitting PRs (see the section below for how to contribute)!
You can give Codex extra instructions and guidance using `AGENTS.md` files. Codex looks for `AGENTS.md` files in the following places, and merges them top-down:
1.`~/.codex/AGENTS.md` - personal global guidance
2.`AGENTS.md` at repo root - shared project notes
3.`AGENTS.md` in the current working directory - sub-folder/feature specifics
---
## Non-interactive / CI mode
Run Codex head-less in pipelines. Example GitHub Action step:
```yaml
- name:Update changelog via Codex
run:|
npm install -g @openai/codex
export OPENAI_API_KEY="${{ secrets.OPENAI_KEY }}"
codex exec --full-auto "update CHANGELOG for next release"
```
## Model Context Protocol (MCP)
The Codex CLI can be configured to leverage MCP servers by defining an [`mcp_servers`](./codex-rs/config.md#mcp_servers) section in `~/.codex/config.toml`. It is intended to mirror how tools such as Claude and Cursor define `mcpServers` in their respective JSON config files, though the Codex format is slightly different since it uses TOML rather than JSON, e.g.:
```toml
# IMPORTANT: the top-level key is `mcp_servers` rather than `mcpServers`.
[mcp_servers.server-name]
command="npx"
args=["-y","mcp-server"]
env={"API_KEY"="value"}
```
> [!TIP]
> It is somewhat experimental, but the Codex CLI can also be run as an MCP _server_ via `codex mcp`. If you launch it with an MCP client such as `npx @modelcontextprotocol/inspector codex mcp` and send it a `tools/list` request, you will see that there is only one tool, `codex`, that accepts a grab-bag of inputs, including a catch-all `config` map for anything you might want to override. Feel free to play around with it and provide feedback via GitHub issues.
## Tracing / verbose logging
Because Codex is written in Rust, it honors the `RUST_LOG` environment variable to configure its logging behavior.
The TUI defaults to `RUST_LOG=codex_core=info,codex_tui=info` and log messages are written to `~/.codex/log/codex-tui.log`, so you can leave the following running in a separate terminal to monitor log messages as they are written:
```
tail -F ~/.codex/log/codex-tui.log
```
By comparison, the non-interactive mode (`codex exec`) defaults to `RUST_LOG=error`, but messages are printed inline, so there is no need to monitor a separate file.
See the Rust documentation on [`RUST_LOG`](https://docs.rs/env_logger/latest/env_logger/#enabling-logging) for more information on the configuration options.
---
### DotSlash
The GitHub Release also contains a [DotSlash](https://dotslash-cli.com/) file for the Codex CLI named `codex`. Using a DotSlash file makes it possible to make a lightweight commit to source control to ensure all contributors use the same version of an executable, regardless of what platform they use for development.
</details>
<details>
<summary><strong>Build from source</strong></summary>
```bash
# Clone the repository and navigate to the root of the Cargo workspace.
cargo run --bin codex -- "explain this codebase to me"
# After making changes, ensure the code is clean.
cargo fmt -- --config imports_granularity=Item
cargo clippy --tests
# Run the tests.
cargo test
```
</details>
---
## Configuration
Codex supports a rich set of configuration options documented in [`codex-rs/config.md`](./codex-rs/config.md).
By default, Codex loads its configuration from `~/.codex/config.toml`.
Though `--config` can be used to set/override ad-hoc config values for individual invocations of `codex`.
---
## FAQ
<details>
<summary>OpenAI released a model called Codex in 2021 - is this related?</summary>
In 2021, OpenAI released Codex, an AI system designed to generate code from natural language prompts. That original Codex model was deprecated as of March 2023 and is separate from the CLI tool.
</details>
<details>
<summary>Which models are supported?</summary>
Any model available with [Responses API](https://platform.openai.com/docs/api-reference/responses). The default is `o4-mini`, but pass `--model gpt-4.1` or set `model: gpt-4.1` in your config file to override.
</details>
<details>
<summary>Why does <code>o3</code> or <code>o4-mini</code> not work for me?</summary>
It's possible that your [API account needs to be verified](https://help.openai.com/en/articles/10910291-api-organization-verification) in order to start streaming responses and seeing chain of thought summaries from the API. If you're still running into issues, please let us know!
</details>
<details>
<summary>How do I stop Codex from editing my files?</summary>
Codex runs model-generated commands in a sandbox. If a proposed command or file change doesn't look right, you can simply type **n** to deny the command or give the model feedback.
</details>
<details>
<summary>Does it work on Windows?</summary>
Not directly. It requires [Windows Subsystem for Linux (WSL2)](https://learn.microsoft.com/en-us/windows/wsl/install) - Codex has been tested on macOS and Linux with Node 22.
</details>
---
## Zero data retention (ZDR) usage
Codex CLI **does** support OpenAI organizations with [Zero Data Retention (ZDR)](https://platform.openai.com/docs/guides/your-data#zero-data-retention) enabled. If your OpenAI organization has Zero Data Retention enabled and you still encounter errors such as:
```
OpenAI rejected the request. Error details: Status: 400, Code: unsupported_parameter, Type: invalid_request_error, Message: 400 Previous response cannot be used for this organization due to Zero Data Retention.
```
Ensure you are running `codex` with `--config disable_response_storage=true` or add this line to `~/.codex/config.toml` to avoid specifying the command line option each time:
```toml
disable_response_storage=true
```
See [the configuration documentation on `disable_response_storage`](./codex-rs/config.md#disable_response_storage) for details.
---
## Codex open source fund
We're excited to launch a **$1 million initiative** supporting open source projects that use Codex CLI and other OpenAI models.
- Grants are awarded up to **$25,000** API credits.
- Applications are reviewed **on a rolling basis**.
This project is under active development and the code will likely change pretty significantly. We'll update this message once that's complete!
More broadly we welcome contributions - whether you are opening your very first pull request or you're a seasoned maintainer. At the same time we care about reliability and long-term maintainability, so the bar for merging code is intentionally **high**. The guidelines below spell out what "high-quality" means in practice and should make the whole process transparent and friendly.
### Development workflow
- Create a _topic branch_ from `main` - e.g. `feat/interactive-prompt`.
- Keep your changes focused. Multiple unrelated fixes should be opened as separate PRs.
- Following the [development setup](#development-workflow) instructions above, ensure your change is free of lint warnings and test failures.
### Writing high-impact code changes
1.**Start with an issue.** Open a new one or comment on an existing discussion so we can agree on the solution before code is written.
2.**Add or update tests.** Every new feature or bug-fix should come with test coverage that fails before your change and passes afterwards. 100% coverage is not required, but aim for meaningful assertions.
3.**Document behaviour.** If your change affects user-facing behaviour, update the README, inline help (`codex --help`), or relevant example projects.
4.**Keep commits atomic.** Each commit should compile and the tests should pass. This makes reviews and potential rollbacks easier.
### Opening a pull request
- Fill in the PR template (or include similar information) - **What? Why? How?**
- Run **all** checks locally (`cargo test && cargo clippy --tests && cargo fmt -- --config imports_granularity=Item`). CI failures that could have been caught locally slow down the process.
- Make sure your branch is up-to-date with `main` and that you have resolved merge conflicts.
- Mark the PR as **Ready for review** only when you believe it is in a merge-able state.
### Review process
1. One maintainer will be assigned as a primary reviewer.
2. We may ask for changes - please do not take this personally. We value the work, we just also value consistency and long-term maintainability.
3. When there is consensus that the PR meets the bar, a maintainer will squash-and-merge.
### Community values
- **Be kind and inclusive.** Treat others with respect; we follow the [Contributor Covenant](https://www.contributor-covenant.org/).
- **Assume good intent.** Written communication is hard - err on the side of generosity.
- **Teach & learn.** If you spot something confusing, open an issue or PR with improvements.
### Getting help
If you run into problems setting up the project, would like feedback on an idea, or just want to say _hi_ - please open a Discussion or jump into the relevant issue. We are happy to help.
Together we can make Codex CLI an incredible tool. **Happy hacking!** :rocket:
### Contributor license agreement (CLA)
All contributors **must** accept the CLA. The process is lightweight:
1. Open your pull request.
2. Paste the following comment (or reply `recheck` if you've signed before):
```text
I have read the CLA Document and I hereby sign the CLA
```
3. The CLA-Assistant bot records your signature in the repo and marks the status check as passed.
No special Git commands, email attachments, or commit footers required.
This will make a local commit on top of `main` with `version` set to `$VERSION` in `codex-rs/Cargo.toml` (note that on `main`, we leave the version as `version = "0.0.0"`).
This will push the commit using the tag `rust-v${VERSION}`, which in turn kicks off [the release workflow](.github/workflows/rust-release.yml). This will create a new GitHub Release named `$VERSION`.
If everything looks good in the generated GitHub Release, uncheck the **pre-release** box so it is the latest release.
Create a PR to update [`Formula/c/codex.rb`](https://github.com/Homebrew/homebrew-core/blob/main/Formula/c/codex.rb) on Homebrew.
---
## Security & responsible AI
Have you discovered a vulnerability or have concerns about model output? Please e-mail **security@openai.com** and we will respond promptly.
@@ -19,11 +19,11 @@ While we are [working to close the gap between the TypeScript and Rust implement
### Config
Codex supports a rich set of configuration options. Note that the Rust CLI uses `config.toml` instead of `config.json`. See [`config.md`](./config.md) for details.
Codex supports a rich set of configuration options. Note that the Rust CLI uses `config.toml` instead of `config.json`. See [`docs/config.md`](../docs/config.md) for details.
### Model Context Protocol Support
Codex CLI functions as an MCP client that can connect to MCP servers on startup. See the [`mcp_servers`](./config.md#mcp_servers) section in the configuration documentation for details.
Codex CLI functions as an MCP client that can connect to MCP servers on startup. See the [`mcp_servers`](../docs/config.md#mcp_servers) section in the configuration documentation for details.
It is still experimental, but you can also launch Codex as an MCP _server_ by running `codex mcp`. Use the [`@modelcontextprotocol/inspector`](https://github.com/modelcontextprotocol/inspector) to try it out:
You can enable notifications by configuring a script that is run whenever the agent finishes a turn. The [notify documentation](./config.md#notify) includes a detailed example that explains how to get desktop notifications via [terminal-notifier](https://github.com/julienXX/terminal-notifier) on macOS.
You can enable notifications by configuring a script that is run whenever the agent finishes a turn. The [notify documentation](../docs/config.md#notify) includes a detailed example that explains how to get desktop notifications via [terminal-notifier](https://github.com/julienXX/terminal-notifier) on macOS.
### `codex exec` to run Codex programmatially/non-interactively
### `codex exec` to run Codex programmatically/non-interactively
To run Codex non-interactively, run `codex exec PROMPT` (you can also pass the prompt via `stdin`) and Codex will work on your task until it decides that it is done and exits. Output is printed to the terminal directly. You can set the `RUST_LOG` environment variable to see more about what's going on.
@@ -43,6 +43,12 @@ To run Codex non-interactively, run `codex exec PROMPT` (you can also pass the p
Typing `@` triggers a fuzzy-filename search over the workspace root. Use up/down to select among the results and Tab or Enter to replace the `@` with the selected path. You can use Esc to cancel the search.
### Esc–Esc to edit a previous message
When the chat composer is empty, press Esc to prime “backtrack” mode. Press Esc again to open a transcript preview highlighting the last user message; press Esc repeatedly to step to older user messages. Press Enter to confirm and Codex will fork the conversation from that point, trim the visible transcript accordingly, and pre‑fill the composer with the selected user message so you can edit and resubmit it.
In the transcript preview, the footer shows an `Esc edit prev` hint while editing is active.
### `--cd`/`-C` flag
Sometimes it is not convenient to `cd` to the directory you want Codex to use as the "working root" before running Codex. Fortunately, `codex` supports a `--cd` option so you can specify whatever folder you want. You can confirm that Codex is honoring `--cd` by double-checking the **workdir** it reports in the TUI at the start of a new session.
To edit files, ALWAYS use the `shell` tool with `apply_patch` CLI. `apply_patch` effectively allows you to execute a diff/patch against a file, but the format of the diff specification is unique to this task, so pay careful attention to these instructions. To use the `apply_patch` CLI, you should call the shell tool with the following structure:
## `apply_patch`
```bash
{"cmd": ["apply_patch", "<<'EOF'\\n*** Begin Patch\\n[YOUR_PATCH]\\n*** End Patch\\nEOF\\n"], "workdir": "..."}
```
Use the `apply_patch` shell command to edit files.
Your patch language is a stripped‑down, file‑oriented diff format designed to be easy to parse and safe to apply. You can think of it as a high‑level envelope:
Where [YOUR_PATCH] is the actual content of your patch, specified in the following V4A diff format.
*** Begin Patch
[ one or more file sections ]
*** End Patch
*** [ACTION] File: [path/to/file] -> ACTION can be one of Add, Update, or Delete.
For each snippet of code that needs to be changed, repeat the following:
[context_before] -> See below for further instructions on context.
- [old_code] -> Precede the old code with a minus sign.
+ [new_code] -> Precede the new, replacement code with a plus sign.
[context_after] -> See below for further instructions on context.
Within that envelope, you get a sequence of file operations.
You MUST include a header to specify the action you are taking.
Each operation starts with one of three headers:
*** Add File: <path> - create a new file. Every following line is a + line (the initial contents).
*** Update File: <path> - patch an existing file in place (optionally with a rename).
May be immediately followed by *** Move to: <new path> if you want to rename the file.
Then one or more “hunks”, each introduced by @@ (optionally followed by a hunk header).
Within a hunk each line starts with:
For instructions on [context_before] and [context_after]:
- By default, show 3 lines of code immediately above and 3 lines immediately below each change. If a change is within 3 lines of a previous change, do NOT duplicate the first change’s [context_after] lines in the second change’s [context_before] lines.
@@ -25,16 +31,45 @@ For instructions on [context_before] and [context_after]:
- If a code block is repeated so many times in a class or function such that even a single `@@` statement and 3 lines of context cannot uniquely identify the snippet of code, you can use multiple `@@` statements to jump to the right context. For instance:
@@ class BaseClass
@@ def method():
@@ def method():
[3 lines of pre-context]
- [old_code]
+ [new_code]
[3 lines of post-context]
Note, then, that we do not use line numbers in this diff format, as the context is enough to uniquely identify code. An example of a message that you might pass as "input" to this function, in order to apply a patch, is shown below.
Hunk := "@@" [ header ] NEWLINE { HunkLine } [ "*** End of File" NEWLINE ]
HunkLine := (" " | "-" | "+") text NEWLINE
A full patch can combine several operations:
*** Begin Patch
*** Add File: hello.txt
+Hello world
*** Update File: src/app.py
*** Move to: src/main.py
@@ def greet():
-print("Hi")
+print("Hello, world!")
*** Delete File: obsolete.txt
*** End Patch
It is important to remember:
- You must include a header with your intended action (Add/Delete/Update)
- You must prefix new lines with `+` even when creating a new file
- File references can only be relative, NEVER ABSOLUTE.
You can invoke apply_patch like:
```bash
{"cmd": ["apply_patch", "<<'EOF'\\n*** Begin Patch\\n*** Update File: pygorithm/searching/binary_search.py\\n@@ class BaseClass\\n@@ def search():\\n- pass\\n+ raise NotImplementedError()\\n@@ class Subclass\\n@@ def search():\\n- pass\\n+ raise NotImplementedError()\\n*** End Patch\\nEOF\\n"], "workdir": "..."}
```
File references can only be relative, NEVER ABSOLUTE. After the apply_patch command is run, it will always say "Done!", regardless of whether the patch was successfully applied or not. However, you can determine if there are issue and errors by looking at any warnings or logging lines printed BEFORE the "Done!" is output.
shell {"command":["apply_patch","*** Begin Patch\n*** Add File: hello.txt\n+Hello, world!\n*** End Patch\n"]}
{path="ratatui::style::Color::Rgb",reason="Use ANSI colors, which work better in various terminal themes."},
{path="ratatui::style::Color::Indexed",reason="Use ANSI colors, which work better in various terminal themes."},
{path="ratatui::style::Stylize::white",reason="Avoid hardcoding white; prefer default fg or dim/bold. Exception: Disable this rule if rendering over a hardcoded ANSI background."},
{path="ratatui::style::Stylize::black",reason="Avoid hardcoding black; prefer default fg or dim/bold. Exception: Disable this rule if rendering over a hardcoded ANSI background."},
{path="ratatui::style::Stylize::yellow",reason="Avoid yellow; prefer other colors in `tui/styles.md`."},
description: "Codex can read files and answer questions. Codex requires approval to make edits, run commands, or access network",
approval: AskForApproval::OnRequest,
sandbox: SandboxPolicy::ReadOnly,
},
ApprovalPreset{
id: "auto",
label: "Auto",
description: "Codex can read files, make edits, and run commands in the workspace. Codex requires approval to work outside the workspace or access network",
Codex supports several mechanisms for setting config values:
This file has moved. Please see the latest configuration documentation here:
-Config-specific command-line flags, such as `--model o3` (highest precedence).
- A generic `-c`/`--config` flag that takes a `key=value` pair, such as `--config model="o3"`.
- The key can contain dots to set a value deeper than the root, e.g. `--config model_providers.openai.wire_api="chat"`.
- Values can contain objects, such as `--config shell_environment_policy.include_only=["PATH", "HOME", "USER"]`.
- For consistency with `config.toml`, values are in TOML format rather than JSON format, so use `{a = 1, b = 2}` rather than `{"a": 1, "b": 2}`.
- If `value` cannot be parsed as a valid TOML value, it is treated as a string value. This means that both `-c model="o3"` and `-c model=o3` are equivalent.
- The `$CODEX_HOME/config.toml` configuration file where the `CODEX_HOME` environment value defaults to `~/.codex`. (Note `CODEX_HOME` will also be where logs and other Codex-related information are stored.)
Both the `--config` flag and the `config.toml` file support the following options:
## model
The model that Codex should use.
```toml
model="o3"# overrides the default of "gpt-5"
```
## model_providers
This option lets you override and amend the default set of model providers bundled with Codex. This value is a map where the key is the value to use with `model_provider` to select the corresponding provider.
For example, if you wanted to add a provider that uses the OpenAI 4o model via the chat completions API, then you could add the following configuration:
```toml
# Recall that in TOML, root keys must be listed before tables.
model="gpt-4o"
model_provider="openai-chat-completions"
[model_providers.openai-chat-completions]
# Name of the provider that will be displayed in the Codex UI.
name="OpenAI using Chat Completions"
# The path `/chat/completions` will be amended to this URL to make the POST
# request for the chat completions.
base_url="https://api.openai.com/v1"
# If `env_key` is set, identifies an environment variable that must be set when
# using Codex with this provider. The value of the environment variable must be
# non-empty and will be used in the `Bearer TOKEN` HTTP header for the POST request.
env_key="OPENAI_API_KEY"
# Valid values for wire_api are "chat" and "responses". Defaults to "chat" if omitted.
wire_api="chat"
# If necessary, extra query params that need to be added to the URL.
# See the Azure example below.
query_params={}
```
Note this makes it possible to use Codex CLI with non-OpenAI models, so long as they use a wire API that is compatible with the OpenAI chat completions API. For example, you could define the following provider to use Codex CLI with Ollama running locally:
```toml
[model_providers.ollama]
name="Ollama"
base_url="http://localhost:11434/v1"
```
Or a third-party provider (using a distinct environment variable for the API key):
```toml
[model_providers.mistral]
name="Mistral"
base_url="https://api.mistral.ai/v1"
env_key="MISTRAL_API_KEY"
```
Note that Azure requires `api-version` to be passed as a query parameter, so be sure to specify it as part of `query_params` when defining the Azure provider:
```toml
[model_providers.azure]
name="Azure"
# Make sure you set the appropriate subdomain for this URL.
env_key="AZURE_OPENAI_API_KEY"# Or "OPENAI_API_KEY", whichever you use.
query_params={api-version="2025-04-01-preview"}
```
It is also possible to configure a provider to include extra HTTP headers with a request. These can be hardcoded values (`http_headers`) or values read from environment variables (`env_http_headers`):
```toml
[model_providers.example]
# name, base_url, ...
# This will add the HTTP header `X-Example-Header` with value `example-value`
# to each request to the model provider.
http_headers={"X-Example-Header"="example-value"}
# This will add the HTTP header `X-Example-Features` with the value of the
# `EXAMPLE_FEATURES` environment variable to each request to the model provider
# _if_ the environment variable is set and its value is non-empty.
The following optional settings control retry behaviour and streaming idle timeouts **per model provider**. They must be specified inside the corresponding `[model_providers.<id>]` block in `config.toml`. (Older releases accepted top‑level keys; those are now ignored.)
Example:
```toml
[model_providers.openai]
name="OpenAI"
base_url="https://api.openai.com/v1"
env_key="OPENAI_API_KEY"
# network tuning overrides (all optional; falls back to built‑in defaults)
request_max_retries=4# retry failed HTTP requests
stream_max_retries=10# retry dropped SSE streams
stream_idle_timeout_ms=300000# 5m idle timeout
```
#### request_max_retries
How many times Codex will retry a failed HTTP request to the model provider. Defaults to `4`.
#### stream_max_retries
Number of times Codex will attempt to reconnect when a streaming response is interrupted. Defaults to `10`.
#### stream_idle_timeout_ms
How long Codex will wait for activity on a streaming response before treating the connection as lost. Defaults to `300_000` (5 minutes).
## model_provider
Identifies which provider to use from the `model_providers` map. Defaults to `"openai"`. You can override the `base_url` for the built-in `openai` provider via the `OPENAI_BASE_URL` environment variable.
Note that if you override `model_provider`, then you likely want to override
`model`, as well. For example, if you are running ollama with Mistral locally,
then you would need to add the following to your config in addition to the new entry in the `model_providers` map:
```toml
model_provider="ollama"
model="mistral"
```
## approval_policy
Determines when the user should be prompted to approve whether Codex can execute a command:
```toml
# Codex has hardcoded logic that defines a set of "trusted" commands.
# Setting the approval_policy to `untrusted` means that Codex will prompt the
# user before running a command not in the "trusted" set.
#
# See https://github.com/openai/codex/issues/1260 for the plan to enable
# end-users to define their own trusted commands.
approval_policy="untrusted"
```
If you want to be notified whenever a command fails, use "on-failure":
```toml
# If the command fails when run in the sandbox, Codex asks for permission to
# retry the command outside the sandbox.
approval_policy="on-failure"
```
If you want the model to run until it decides that it needs to ask you for escalated permissions, use "on-request":
```toml
# The model decides when to escalate
approval_policy="on-request"
```
Alternatively, you can have the model run until it is done, and never ask to run a command with escalated permissions:
```toml
# User is never prompted: if the command fails, Codex will automatically try
# something out. Note the `exec` subcommand always uses this mode.
approval_policy="never"
```
## profiles
A _profile_ is a collection of configuration values that can be set together. Multiple profiles can be defined in `config.toml` and you can specify the one you
want to use at runtime via the `--profile` flag.
Here is an example of a `config.toml` that defines multiple profiles:
```toml
model="o3"
approval_policy="unless-allow-listed"
disable_response_storage=false
# Setting `profile` is equivalent to specifying `--profile o3` on the command
# line, though the `--profile` flag can still be used to override this value.
profile="o3"
[model_providers.openai-chat-completions]
name="OpenAI using Chat Completions"
base_url="https://api.openai.com/v1"
env_key="OPENAI_API_KEY"
wire_api="chat"
[profiles.o3]
model="o3"
model_provider="openai"
approval_policy="never"
model_reasoning_effort="high"
model_reasoning_summary="detailed"
[profiles.gpt3]
model="gpt-3.5-turbo"
model_provider="openai-chat-completions"
[profiles.zdr]
model="o3"
model_provider="openai"
approval_policy="on-failure"
disable_response_storage=true
```
Users can specify config values at multiple levels. Order of precedence is as follows:
2. as part of a profile, where the `--profile` is specified via a CLI (or in the config file itself)
3. as an entry in `config.toml`, e.g., `model = "o3"`
4. the default value that comes with Codex CLI (i.e., Codex CLI defaults to `gpt-5`)
## model_reasoning_effort
If the model name starts with `"o"` (as in `"o3"` or `"o4-mini"`) or `"codex"`, reasoning is enabled by default when using the Responses API. As explained in the [OpenAI Platform documentation](https://platform.openai.com/docs/guides/reasoning?api-mode=responses#get-started-with-reasoning), this can be set to:
-`"low"`
-`"medium"` (default)
-`"high"`
To disable reasoning, set `model_reasoning_effort` to `"none"` in your config:
```toml
model_reasoning_effort="none"# disable reasoning
```
## model_reasoning_summary
If the model name starts with `"o"` (as in `"o3"` or `"o4-mini"`) or `"codex"`, reasoning is enabled by default when using the Responses API. As explained in the [OpenAI Platform documentation](https://platform.openai.com/docs/guides/reasoning?api-mode=responses#reasoning-summaries), this can be set to:
-`"auto"` (default)
-`"concise"`
-`"detailed"`
To disable reasoning summaries, set `model_reasoning_summary` to `"none"` in your config:
By default, `reasoning` is only set on requests to OpenAI models that are known to support them. To force `reasoning` to set on requests to the current model, you can force this behavior by setting the following in `config.toml`:
```toml
model_supports_reasoning_summaries=true
```
## sandbox_mode
Codex executes model-generated shell commands inside an OS-level sandbox.
In most cases you can pick the desired behaviour with a single option:
```toml
# same as `--sandbox read-only`
sandbox_mode="read-only"
```
The default policy is `read-only`, which means commands can read any file on
disk, but attempts to write a file or access the network will be blocked.
A more relaxed policy is `workspace-write`. When specified, the current working directory for the Codex task will be writable (as well as `$TMPDIR` on macOS). Note that the CLI defaults to using the directory where it was spawned as `cwd`, though this can be overridden using `--cwd/-C`.
On macOS (and soon Linux), all writable roots (including `cwd`) that contain a `.git/` folder _as an immediate child_ will configure the `.git/` folder to be read-only while the rest of the Git repository will be writable. This means that commands like `git commit` will fail, by default (as it entails writing to `.git/`), and will require Codex to ask for permission.
```toml
# same as `--sandbox workspace-write`
sandbox_mode="workspace-write"
# Extra settings that only apply when `sandbox = "workspace-write"`.
[sandbox_workspace_write]
# By default, the cwd for the Codex session will be writable as well as $TMPDIR
# (if set) and /tmp (if it exists). Setting the respective options to `true`
# will override those defaults.
exclude_tmpdir_env_var=false
exclude_slash_tmp=false
# Allow the command being run inside the sandbox to make outbound network
# requests. Disabled by default.
network_access=false
```
To disable sandboxing altogether, specify `danger-full-access` like so:
```toml
# same as `--sandbox danger-full-access`
sandbox_mode="danger-full-access"
```
This is reasonable to use if Codex is running in an environment that provides its own sandboxing (such as a Docker container) such that further sandboxing is unnecessary.
Though using this option may also be necessary if you try to use Codex in environments where its native sandboxing mechanisms are unsupported, such as older Linux kernels or on Windows.
## mcp_servers
Defines the list of MCP servers that Codex can consult for tool use. Currently, only servers that are launched by executing a program that communicate over stdio are supported. For servers that use the SSE transport, consider an adapter like [mcp-proxy](https://github.com/sparfenyuk/mcp-proxy).
**Note:** Codex may cache the list of tools and resources from an MCP server so that Codex can include this information in context at startup without spawning all the servers. This is designed to save resources by loading MCP servers lazily.
This config option is comparable to how Claude and Cursor define `mcpServers` in their respective JSON config files, though because Codex uses TOML for its config language, the format is slightly different. For example, the following config in JSON:
```json
{
"mcpServers":{
"server-name":{
"command":"npx",
"args":["-y","mcp-server"],
"env":{
"API_KEY":"value"
}
}
}
}
```
Should be represented as follows in `~/.codex/config.toml`:
```toml
# IMPORTANT: the top-level key is `mcp_servers` rather than `mcpServers`.
[mcp_servers.server-name]
command="npx"
args=["-y","mcp-server"]
env={"API_KEY"="value"}
```
## disable_response_storage
Currently, customers whose accounts are set to use Zero Data Retention (ZDR) must set `disable_response_storage` to `true` so that Codex uses an alternative to the Responses API that works with ZDR:
```toml
disable_response_storage=true
```
## shell_environment_policy
Codex spawns subprocesses (e.g. when executing a `local_shell` tool-call suggested by the assistant). By default it now passes **your full environment** to those subprocesses. You can tune this behavior via the **`shell_environment_policy`** block in `config.toml`:
```toml
[shell_environment_policy]
# inherit can be "all" (default), "core", or "none"
inherit="core"
# set to true to *skip* the filter for `"*KEY*"` and `"*TOKEN*"`
ignore_default_excludes=false
# exclude patterns (case-insensitive globs)
exclude=["AWS_*","AZURE_*"]
# force-set / override values
set={CI="1"}
# if provided, *only* vars matching these patterns are kept
| `inherit` | string | `all` | Starting template for the environment:<br>`all` (clone full parent env), `core` (`HOME`, `PATH`, `USER`, …), or `none` (start empty). |
| `ignore_default_excludes` | boolean | `false` | When `false`, Codex removes any var whose **name** contains `KEY`, `SECRET`, or `TOKEN` (case-insensitive) before other rules run. |
| `exclude` | array<string> | `[]` | Case-insensitive glob patterns to drop after the default filter.<br>Examples: `"AWS_*"`, `"AZURE_*"`. |
| `set` | table<string,string> | `{}` | Explicit key/value overrides or additions – always win over inherited values. |
| `include_only` | array<string> | `[]` | If non-empty, a whitelist of patterns; only variables that match _one_ pattern survive the final step. (Generally used with `inherit = "all"`.) |
The patterns are **glob style**, not full regular expressions: `*` matches any
number of characters, `?` matches exactly one, and character classes like
`[A-Z]`/`[^0-9]` are supported. Matching is always **case-insensitive**. This
syntax is documented in code as `EnvironmentVariablePattern` (see
`core/src/config_types.rs`).
If you just need a clean slate with a few custom entries you can write:
```toml
[shell_environment_policy]
inherit="none"
set={PATH="/usr/bin",MY_FLAG="1"}
```
Currently, `CODEX_SANDBOX_NETWORK_DISABLED=1` is also added to the environment, assuming network is disabled. This is not configurable.
## notify
Specify a program that will be executed to get notified about events generated by Codex. Note that the program will receive the notification argument as a string of JSON, e.g.:
```json
{
"type":"agent-turn-complete",
"turn-id":"12345",
"input-messages":["Rename `foo` to `bar` and update the callsites."],
"last-assistant-message":"Rename complete and verified `cargo build` succeeds."
}
```
The `"type"` property will always be set. Currently, `"agent-turn-complete"` is the only notification type that is supported.
As an example, here is a Python script that parses the JSON and decides whether to show a desktop push notification using [terminal-notifier](https://github.com/julienXX/terminal-notifier) on macOS:
print(f"not sending a push notification for: {notification_type}")
return0
subprocess.check_output(
[
"terminal-notifier",
"-title",
title,
"-message",
message,
"-group",
"codex",
"-ignoreDnD",
"-activate",
"com.googlecode.iterm2",
]
)
return0
if__name__=="__main__":
sys.exit(main())
```
To have Codex use this script for notifications, you would configure it via `notify` in `~/.codex/config.toml` using the appropriate path to `notify.py` on your computer:
By default, Codex CLI records messages sent to the model in `$CODEX_HOME/history.jsonl`. Note that on UNIX, the file permissions are set to `o600`, so it should only be readable and writable by the owner.
To disable this behavior, configure `[history]` as follows:
```toml
[history]
persistence="none"# "save-all" is the default value
```
## file_opener
Identifies the editor/URI scheme to use for hyperlinking citations in model output. If set, citations to files in the model output will be hyperlinked using the specified URI scheme so they can be ctrl/cmd-clicked from the terminal to open them.
For example, if the model output includes a reference such as `【F:/home/user/project/main.py†L42-L50】`, then this would be rewritten to link to the URI `vscode://file/home/user/project/main.py:42`.
Note this is **not** a general editor setting (like `$EDITOR`), as it only accepts a fixed set of values:
-`"vscode"` (default)
-`"vscode-insiders"`
-`"windsurf"`
-`"cursor"`
-`"none"` to explicitly disable this feature
Currently, `"vscode"` is the default, though Codex does not verify VS Code is installed. As such, `file_opener` may default to `"none"` or something else in the future.
## hide_agent_reasoning
Codex intermittently emits "reasoning" events that show the model's internal "thinking" before it produces a final answer. Some users may find these events distracting, especially in CI logs or minimal terminal output.
Setting `hide_agent_reasoning` to `true` suppresses these events in **both** the TUI as well as the headless `exec` sub-command:
```toml
hide_agent_reasoning=true# defaults to false
```
## show_raw_agent_reasoning
Surfaces the model’s raw chain-of-thought ("raw reasoning content") when available.
Notes:
- Only takes effect if the selected model/provider actually emits raw reasoning content. Many models do not. When unsupported, this option has no visible effect.
- Raw reasoning may include intermediate thoughts or sensitive context. Enable only if acceptable for your workflow.
Example:
```toml
show_raw_agent_reasoning=true# defaults to false
```
## model_context_window
The size of the context window for the model, in tokens.
In general, Codex knows the context window for the most common OpenAI models, but if you are using a new model with an old version of the Codex CLI, then you can use `model_context_window` to tell Codex what value to use to determine how much context is left during a conversation.
## model_max_output_tokens
This is analogous to `model_context_window`, but for the maximum number of output tokens for the model.
## project_doc_max_bytes
Maximum number of bytes to read from an `AGENTS.md` file to include in the instructions sent with the first turn of a session. Defaults to 32 KiB.
You are a coding agent running in the Codex CLI, a terminal-based coding assistant. Codex CLI is an open source project led by OpenAI. You are expected to be precise, safe, and helpful.
Your capabilities:
- Receive user prompts and other context provided by the harness, such as files in the workspace.
- Communicate with the user by streaming thinking & responses, and by making & updating plans.
- Emit function calls to run terminal commands and apply patches. Depending on how this specific run is configured, you can request that these function calls be escalated to the user for approval before running. More on this in the "Sandbox and approvals" section.
@@ -13,6 +14,18 @@ Within this context, Codex refers to the open-source agentic coding interface (n
Your default personality and tone is concise, direct, and friendly. You communicate efficiently, always keeping the user clearly informed about ongoing actions without unnecessary detail. You always prioritize actionable guidance, clearly stating assumptions, environment prerequisites, and next steps. Unless explicitly asked, you avoid excessively verbose explanations about your work.
# AGENTS.md spec
- Repos often contain AGENTS.md files. These files can appear anywhere within the repository.
- These files are a way for humans to give you (the agent) instructions or tips for working within the container.
- Some examples might be: coding conventions, info about how code is organized, or instructions for how to run or test code.
- Instructions in AGENTS.md files:
- The scope of an AGENTS.md file is the entire directory tree rooted at the folder that contains it.
- For every file you touch in the final patch, you must obey instructions in any AGENTS.md file whose scope includes that file.
- Instructions about code style, structure, naming, etc. apply only to code within the AGENTS.md file's scope, unless the file states otherwise.
- More-deeply-nested AGENTS.md files take precedence in the case of conflicting instructions.
- Direct system/developer/user instructions (as part of a prompt) take precedence over AGENTS.md instructions.
- The contents of the AGENTS.md file at the root of the repo and any directories from the CWD up to the root are included with the developer message and don't need to be re-read. When working in a subdirectory of CWD, or a directory outside the CWD, check for any AGENTS.md files that may be applicable.
## Responsiveness
### Preamble messages
@@ -20,11 +33,13 @@ Your default personality and tone is concise, direct, and friendly. You communic
Before making tool calls, send a brief preamble to the user explaining what you’re about to do. When sending preamble messages, follow these principles and examples:
- **Logically group related actions**: if you’re about to run several related commands, describe them together in one preamble rather than sending a separate note for each.
- **Keep it concise**: be no more than 1-2 sentences (8–12 words for quick updates).
- **Keep it concise**: be no more than 1-2 sentences, focused on immediate, tangible next steps. (8–12 words for quick updates).
- **Build on prior context**: if this is not your first tool call, use the preamble message to connect the dots with what’s been done so far and create a sense of momentum and clarity for the user to understand your next actions.
- **Keep your tone light, friendly and curious**: add small touches of personality in preambles feel collaborative and engaging.
- **Exception**: Avoid adding a preamble for every trivial read (e.g., `cat` a single file) unless it’s part of a larger grouped action.
**Examples:**
- “I’ve explored the repo; now checking the API route definitions.”
- “Next, I’ll patch the config and update the related tests.”
- “I’m about to scaffold the CLI commands and helper functions.”
@@ -34,15 +49,18 @@ Before making tool calls, send a brief preamble to the user explaining what you
- “Alright, build pipeline order is interesting. Checking how it reports failures.”
- “Spotted a clever caching util; now hunting where it gets used.”
**Avoiding a preamble for every trivial read (e.g., `cat` a single file) unless it’s part of a larger grouped action.
- Jumping straight into tool calls without explaining what’s about to happen.
- Writing overly long or speculative preambles — focus on immediate, tangible next steps.
## Planning
You have access to an `update_plan` tool which tracks steps and progress and renders them to the user. Using the tool helps demonstrate that you've understood the task and convey how you're approaching it. Plans can help to make complex, ambiguous, or multi-phase work clearer and more collaborative for the user. A good plan should break the task into meaningful, logically ordered steps that are easy to verify as you go. Note that plans are not for padding out simple work with filler steps or stating the obvious. Do not repeat the full contents of the plan after an `update_plan` call — the harness already displays it. Instead, summarize the change made and highlight any important context or next step.
You have access to an `update_plan` tool which tracks steps and progress and renders them to the user. Using the tool helps demonstrate that you've understood the task and convey how you're approaching it. Plans can help to make complex, ambiguous, or multi-phase work clearer and more collaborative for the user. A good plan should break the task into meaningful, logically ordered steps that are easy to verify as you go.
Note that plans are not for padding out simple work with filler steps or stating the obvious. The content of your plan should not involve doing anything that you aren't capable of doing (i.e. don't try to test things that you can't test). Do not use plans for simple or single-step queries that you can just do or answer immediately.
Do not repeat the full contents of the plan after an `update_plan` call — the harness already displays it. Instead, summarize the change made and highlight any important context or next step.
Before running a command, consider whether or not you have completed the previous step, and make sure to mark it as completed before moving on to the next step. It may be the case that you complete all steps in your plan after a single pass of implementation. If this is the case, you can simply mark all the planned steps as completed. Sometimes, you may need to change plans in the middle of a task: call `update_plan` with the updated plan and make sure to provide an `explanation` of the rationale when doing so.
Use a plan when:
- The task is non-trivial and will require multiple actions over a long time horizon.
- There are logical phases or dependencies where sequencing matters.
- The work has ambiguity that benefits from outlining high-level goals.
@@ -51,14 +69,6 @@ Use a plan when:
- The user has asked you to use the plan tool (aka "TODOs")
- You generate additional steps while working, and plan to do them before yielding to the user
Skip a plan when:
- The task is simple and direct.
- Breaking it down would only produce literal or trivial steps.
Planning steps are called "steps" in the tool, but really they're more like tasks or TODOs. As such they should be very concise descriptions of non-obvious work that an engineer might do like "Write the API spec", then "Update the backend", then "Implement the frontend". On the other hand, it's obvious that you'll usually have to "Explore the codebase" or "Implement the changes", so those are not worth tracking in your plan.
It may be the case that you complete all steps in your plan after a single pass of implementation. If this is the case, you can simply mark all the planned steps as completed. The content of your plan should not involve doing anything that you aren't capable of doing (i.e. don't try to test things that you can't test). Do not use plans for simple or single-step queries that you can just do or answer immediately.
### Examples
**High-quality plans**
@@ -115,10 +125,11 @@ If you need to write a plan, only write high quality plans, not low quality ones
You are a coding agent. Please keep going until the query is completely resolved, before ending your turn and yielding back to the user. Only terminate your turn when you are sure that the problem is solved. Autonomously resolve the query to the best of your ability, using the tools available to you, before coming back to the user. Do NOT guess or make up an answer.
You MUST adhere to the following criteria when solving queries:
- Working on the repo(s) in the current environment is allowed, even if they are proprietary.
- Analyzing code for vulnerabilities is allowed.
- Showing user code and tool call details is allowed.
- Use the `apply_patch` tool to edit files (NEVER try `applypatch` or `apply-patch`, only `apply_patch`): {"command":["apply_patch","*** Begin Patch\\n*** Update File: path/to/file.py\\n@@ def example():\\n- pass\\n+ return 123\\n*** End Patch"]}
- Use the `apply_patch` tool to edit files (NEVER try `applypatch` or `apply-patch`, only `apply_patch`): {"command":["apply_patch","*** Begin Patch\\n*** Update File: path/to/file.py\\n@@ def example():\\n- pass\\n+ return 123\\n*** End Patch"]}
If completing the user's task requires writing or modifying files, your code and final answer should follow these coding guidelines, though user instructions (i.e. AGENTS.md) may override these guidelines:
@@ -135,34 +146,30 @@ If completing the user's task requires writing or modifying files, your code and
- Do not use one-letter variable names unless explicitly requested.
- NEVER output inline citations like "【F:README.md†L5-L14】" in your outputs. The CLI is not able to render these so they will just be broken in the UI. Instead, if you output valid filepaths, users will be able to click on them to open the files in their editor.
## Testing your work
If the codebase has tests or the ability to build or run, you should use them to verify that your work is complete. Generally, your testing philosophy should be to start as specific as possible to the code you changed so that you can catch issues efficiently, then make your way to broader tests as you build confidence. If there's no test for the code you changed, and if the adjacent patterns in the codebases show that there's a logical place for you to add a test, you may do so. However, do not add tests to codebases with no tests, or where the patterns don't indicate so.
Once you're confident in correctness, use formatting commands to ensure that your code is well formatted. These commands can take time so you should run them on as precise a target as possible. If there are issues you can iterate up to 3 times to get formatting right, but if you still can't manage it's better to save the user time and present them a correct solution where you call out the formatting in your final message. If the codebase does not have a formatter configured, do not add one.
For all of testing, running, building, and formatting, do not attempt to fix unrelated bugs. It is not your responsibility to fix them. (You may mention them to the user in your final message though.)
## Sandbox and approvals
The Codex CLI harness supports several different sandboxing, and approval configurations that the user can choose from.
Filesystem sandboxing prevents you from editing files without user approval. The options are:
- *read-only*: You can only read files.
- *workspace-write*: You can read files. You can write to files in your workspace folder, but not outside it.
- *danger-full-access*: No filesystem sandboxing.
- **read-only**: You can only read files.
- **workspace-write**: You can read files. You can write to files in your workspace folder, but not outside it.
- **danger-full-access**: No filesystem sandboxing.
Network sandboxing prevents you from accessing network without approval. Options are
- *ON*
- *OFF*
- **restricted**
- **enabled**
Approvals are your mechanism to get user consent to perform more privileged actions. Although they introduce friction to the user because your work is paused until the user responds, you should leverage them to accomplish your important work. Do not let these settings or the sandbox deter you from attempting to accomplish the user's task. Approval options are
- *untrusted*: The harness will escalate most commands for user approval, apart from a limited allowlist of safe "read" commands.
- *on-failure*: The harness will allow all commands to run in the sandbox (if enabled), and failures will be escalated to the user for approval to run again without the sandbox.
- *on-request*: Commands will be run in the sandbox by default, and you can specify in your tool call if you want to escalate a command to run without sandboxing. (Note that this mode is not always available. If it is, you'll see parameters for it in the `shell` command description.)
- *never*: This is a non-interactive mode where you may NEVER ask the user for approval to run commands. Instead, you must always persist and work around constraints to solve the task for the user. You MUST do your utmost best to finish the task and validate your work before yielding. If this mode is pared with `danger-full-access`, take advantage of it to deliver the best outcome for the user. Further, in this mode, your default testing philosophy is overridden: Even if you don't see local patterns for testing, you may add tests and scripts to validate your work. Just remove them before yielding.
- **untrusted**: The harness will escalate most commands for user approval, apart from a limited allowlist of safe "read" commands.
-**on-failure**: The harness will allow all commands to run in the sandbox (if enabled), and failures will be escalated to the user for approval to run again without the sandbox.
- **on-request**: Commands will be run in the sandbox by default, and you can specify in your tool call if you want to escalate a command to run without sandboxing. (Note that this mode is not always available. If it is, you'll see parameters for it in the `shell` command description.)
- **never**: This is a non-interactive mode where you may NEVER ask the user for approval to run commands. Instead, you must always persist and work around constraints to solve the task for the user. You MUST do your utmost best to finish the task and validate your work before yielding. If this mode is pared with `danger-full-access`, take advantage of it to deliver the best outcome for the user. Further, in this mode, your default testing philosophy is overridden: Even if you don't see local patterns for testing, you may add tests and scripts to validate your work. Just remove them before yielding.
When you are running with approvals `on-request`, and sandboxing enabled, here are scenarios where you'll need to request approval:
- You need to run a command that writes to a directory that requires it (e.g. running tests that write to /tmp)
- You need to run a GUI app (e.g., open/xdg-open/osascript) to open browsers or files.
- You are running sandboxed and need to run a command that requires network access (e.g. installing packages)
@@ -174,6 +181,22 @@ Note that when sandboxing is set to read-only, you'll need to request approval f
You will be told what filesystem sandboxing, network sandboxing, and approval mode are active in a developer or user message. If you are not told about this, assume that you are running with workspace-write, network sandboxing ON, and approval on-failure.
## Validating your work
If the codebase has tests or the ability to build or run, consider using them to verify that your work is complete.
When testing, your philosophy should be to start as specific as possible to the code you changed so that you can catch issues efficiently, then make your way to broader tests as you build confidence. If there's no test for the code you changed, and if the adjacent patterns in the codebases show that there's a logical place for you to add a test, you may do so. However, do not add tests to codebases with no tests.
Similarly, once you're confident in correctness, you can suggest or use formatting commands to ensure that your code is well formatted. If there are issues you can iterate up to 3 times to get formatting right, but if you still can't manage it's better to save the user time and present them a correct solution where you call out the formatting in your final message. If the codebase does not have a formatter configured, do not add one.
For all of testing, running, building, and formatting, do not attempt to fix unrelated bugs. It is not your responsibility to fix them. (You may mention them to the user in your final message though.)
Be mindful of whether to run validation commands proactively. In the absence of behavioral guidance:
- When running in non-interactive approval modes like **never** or **on-failure**, proactively run tests, lint and do whatever you need to ensure you've completed the task.
- When working in interactive approval modes like **untrusted**, or **on-request**, hold off on running tests or lint commands until the user is ready for you to finalize your output, because these commands take time to run and slow down iteration. Instead suggest what you want to do next, and let the user confirm first.
- When working on test-related tasks, such as adding tests, fixing tests, or reproducing a bug to verify behavior, you may proactively run tests regardless of approval mode. Use your judgement to decide whether this is a test-related task.
## Ambition vs. precision
For tasks that have no prior context (i.e. the user is starting something brand new), you should feel free to be ambitious and demonstrate creativity with your implementation.
@@ -207,6 +230,7 @@ Brevity is very important as a default. You should be very concise (i.e. no more
You are producing plain text that will later be styled by the CLI. Follow these rules exactly. Formatting should make results easy to scan, but not feel mechanical. Use judgment to decide how much structure adds value.
**Section Headers**
- Use only when they improve clarity — they are not mandatory for every answer.
- Choose descriptive names that fit the content
- Keep headers short (1–3 words) and in `**Title Case**`. Always start headers with `**` and end with `**`
@@ -214,19 +238,21 @@ You are producing plain text that will later be styled by the CLI. Follow these
- Section headers should only be used where they genuinely improve scanability; avoid fragmenting the answer.
**Bullets**
- Use `-` followed by a space for every bullet.
- Bold the keyword, then colon + concise description.
- Merge related points when possible; avoid a bullet for every trivial detail.
- Keep bullets to one line unless breaking for clarity is unavoidable.
- Group into short lists (4–6 bullets) ordered by importance.
- Use consistent keyword phrasing and formatting across sections.
**Monospace**
- Wrap all commands, file paths, env vars, and code identifiers in backticks (`` `...` ``).
- Apply to inline examples and to bullet keywords if the keyword itself is a literal file/command.
- Never mix monospace and bold markers; choose one based on whether it’s a keyword (`**`) or inline code/path (`` ` ``).
**Structure**
- Place related bullets together; don’t mix unrelated concepts in the same section.
- Order sections from general → specific → supporting info.
- For subsections (e.g., “Binaries” under “Rust Workspace”), introduce with a bolded keyword bullet, then list items under it.
@@ -235,6 +261,7 @@ You are producing plain text that will later be styled by the CLI. Follow these
- Simple results → minimal headers, possibly just a short list or paragraph.
**Tone**
- Keep the voice collaborative and natural, like a coding partner handing off work.
- Be concise and factual — no filler or conversational commentary and avoid unnecessary repetition
- Use present tense and active voice (e.g., “Runs tests” not “This will run tests”).
@@ -242,6 +269,7 @@ You are producing plain text that will later be styled by the CLI. Follow these
- Use parallel structure in lists for consistency.
**Don’t**
- Don’t use literal words “bold” or “monospace” in the content.
@@ -252,68 +280,14 @@ Generally, ensure your final answers adapt their shape and depth to the request.
For casual greetings, acknowledgements, or other one-off conversational messages that are not delivering substantive information or structured results, respond naturally without section headers or bullet formatting.
# Tools
# Tool Guidelines
## `apply_patch`
## Shell commands
Your patch language is a stripped‑down, file‑oriented diff format designed to be easy to parse and safe to apply. You can think of it as a high‑level envelope:
When using the shell, you must adhere to the following guidelines:
**_ Begin Patch
[ one or more file sections ]
_** End Patch
Within that envelope, you get a sequence of file operations.
You MUST include a header to specify the action you are taking.
Each operation starts with one of three headers:
**_ Add File: <path> - create a new file. Every following line is a + line (the initial contents).
Hunk := "@@" [ header ] NEWLINE { HunkLine } [ "*** End of File" NEWLINE ]
HunkLine := (" " | "-" | "+") text NEWLINE
A full patch can combine several operations:
**_ Begin Patch
_** Add File: hello.txt
+Hello world
**_ Update File: src/app.py
_** Move to: src/main.py
@@ def greet():
-print("Hi")
+print("Hello, world!")
**_ Delete File: obsolete.txt
_** End Patch
It is important to remember:
- You must include a header with your intended action (Add/Delete/Update)
- You must prefix new lines with `+` even when creating a new file
You can invoke apply_patch like:
```
shell {"command":["apply_patch","*** Begin Patch\n*** Add File: hello.txt\n+Hello, world!\n*** End Patch\n"]}
```
- When searching for text or files, prefer using `rg` or `rg --files` respectively because `rg` is much faster than alternatives like `grep`. (If the `rg` command is not found, then use alternatives.)
- Read files in chunks with a max chunk size of 250 lines. Do not use python scripts to attempt to output larger chunks of a file. Command line output will be truncated after 10 kilobytes or 256 lines of output, regardless of the command used.
assert_eq!(msg,"stream closed before response.completed")
}
other=>panic!("unexpected second event: {other:?}"),
}
}
#[tokio::test]
asyncfnerror_when_error_event(){
letraw_error=r#"{"type":"response.failed","sequence_number":3,"response":{"id":"resp_689bcf18d7f08194bf3440ba62fe05d803fee0cdac429894","object":"response","created_at":1755041560,"status":"failed","background":false,"error":{"code":"rate_limit_exceeded","message":"Rate limit reached for gpt-5 in organization org-AAA on tokens per min (TPM): Limit 30000, Used 22999, Requested 12528. Please try again in 11.054s. Visit https://platform.openai.com/account/rate-limits to learn more."}, "usage":null,"user":null,"metadata":{}}}"#;
"Rate limit reached for gpt-5 in organization org-AAA on tokens per min (TPM): Limit 30000, Used 22999, Requested 12528. Please try again in 11.054s. Visit https://platform.openai.com/account/rate-limits to learn more."
other=>panic!("unexpected second event: {other:?}"),
}
}
// ────────────────────────────
// Table-driven test from `main`
// ────────────────────────────
@@ -832,4 +1010,31 @@ mod tests {
);
}
}
#[test]
fntest_try_parse_retry_after(){
leterr=Error{
r#type: None,
message: Some("Rate limit reached for gpt-5 in organization org- on tokens per min (TPM): Limit 1, Used 1, Requested 19304. Please try again in 28ms. Visit https://platform.openai.com/account/rate-limits to learn more.".to_string()),
message: Some("Rate limit reached for gpt-5 in organization <ORG> on tokens per min (TPM): Limit 30000, Used 6899, Requested 24050. Please try again in 1.898s. Visit https://platform.openai.com/account/rate-limits to learn more.".to_string()),
r"^codex_cli_rs/\d+\.\d+\.\d+ \(Mac OS \d+\.\d+\.\d+; (x86_64|arm64)\) (\S+)$",
)
.unwrap();
assert!(re.is_match(&user_agent));
}
}
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