I've seen several intermittent failures of
`get_auth_status_returns_token_after_proactive_refresh_recovery` today.
I investigated, and I found a couple of issues.
First, `getAuthStatus(refreshToken=true)` could refresh twice in one
request: once via `refresh_token_if_requested()` and again via the
proactive refresh path inside `auth_manager.auth()`. In the
permanent-failure case this produced an extra `/oauth/token` call and
made the app-server auth tests flaky. Use `auth_cached()` after an
explicit refresh request so the handler reuses the post-refresh auth
state instead of immediately re-entering proactive refresh logic. Keep
the existing proactive path for `refreshToken=false`.
Second, serialize auth refresh attempts in `AuthManager` have a
startup/request race. One proactive refresh could already be in flight
while a `getAuthStatus(refreshToken=false)` request entered
`auth().await`, causing a second `/oauth/token` call before the first
failure or refresh result had been recorded. Guarding the refresh flow
with a single async lock makes concurrent callers share one refresh
result, which prevents duplicate refreshes and stabilizes the
proactive-refresh auth tests.
built from #14256. PR description from @etraut-openai:
This PR addresses a hole in [PR
11802](https://github.com/openai/codex/pull/11802). The previous PR
assumed that app server clients would respond to token refresh failures
by presenting the user with an error ("you must log in again") and then
not making further attempts to call network endpoints using the expired
token. While they do present the user with this error, they don't
prevent further attempts to call network endpoints and can repeatedly
call `getAuthStatus(refreshToken=true)` resulting in many failed calls
to the token refresh endpoint.
There are three solutions I considered here:
1. Change the getAuthStatus app server call to return a null auth if the
caller specified "refreshToken" on input and the refresh attempt fails.
This will cause clients to immediately log out the user and return them
to the log in screen. This is a really bad user experience. It's also a
breaking change in the app server contract that could break third-party
clients.
2. Augment the getAuthStatus app server call to return an additional
field that indicates the state of "token could not be refreshed". This
is a non-breaking change to the app server API, but it requires
non-trivial changes for all clients to properly handle this new field
properly.
3. Change the getAuthStatus implementation to handle the case where a
token refresh fails by marking the AuthManager's in-memory access and
refresh tokens as "poisoned" so it they are no longer used. This is the
simplest fix that requires no client changes.
I chose option 3.
Here's Codex's explanation of this change:
When an app-server client asks `getAuthStatus(refreshToken=true)`, we
may try to refresh a stale ChatGPT access token. If that refresh fails
permanently (for example `refresh_token_reused`, expired, or revoked),
the old behavior was bad in two ways:
1. We kept the in-memory auth snapshot alive as if it were still usable.
2. Later auth checks could retry refresh again and again, creating a
storm of doomed `/oauth/token` requests and repeatedly surfacing the
same failure.
This is especially painful for app-server clients because they poll auth
status and can keep driving the refresh path without any real chance of
recovery.
This change makes permanent refresh failures terminal for the current
managed auth snapshot without changing the app-server API contract.
What changed:
- `AuthManager` now poisons the current managed auth snapshot in memory
after a permanent refresh failure, keyed to the unchanged `AuthDotJson`.
- Once poisoned, later refresh attempts for that same snapshot fail fast
locally without calling the auth service again.
- The poison is cleared automatically when auth materially changes, such
as a new login, logout, or reload of different auth state from storage.
- `getAuthStatus(includeToken=true)` now omits `authToken` after a
permanent refresh failure instead of handing out the stale cached bearer
token.
This keeps the current auth method visible to clients, avoids forcing an
immediate logout flow, and stops repeated refresh attempts for
credentials that cannot recover.
---------
Co-authored-by: Eric Traut <etraut@openai.com>
Follow up to #15357 by making proactive ChatGPT auth refresh depend on
the access token's JWT expiration instead of treating `last_refresh` age
as the primary source of truth.
## Summary
Fix a managed ChatGPT auth bug where a stale Codex process could
proactively refresh using an old in-memory refresh token even after
another process had already rotated auth on disk.
This changes the proactive `AuthManager::auth()` path to reuse the
existing guarded `refresh_token()` flow instead of calling the refresh
endpoint directly from cached auth state.
## Original Issue
Users reported repeated `codexd` log lines like:
```text
ERROR codex_core::auth: Failed to refresh token: error sending request for url (https://auth.openai.com/oauth/token)
```
In practice this showed up most often when multiple `codexd` processes
were left running. Killing the extra processes stopped the noise, which
suggested the issue was caused by stale auth state across processes
rather than invalid user credentials.
## Diagnosis
The bug was in the proactive refresh path used by `AuthManager::auth()`:
- Process A could refresh successfully, rotate refresh token `R0` to
`R1`, and persist the updated auth state plus `last_refresh` to disk.
- Process B could keep an older auth snapshot cached in memory, still
holding `R0` and the old `last_refresh`.
- Later, when Process B called `auth()`, it checked staleness from its
cached in-memory auth instead of first reloading from disk.
- Because that cached `last_refresh` was stale, Process B would
proactively call `/oauth/token` with stale refresh token `R0`.
- On failure, `auth()` logged the refresh error but kept returning the
same stale cached auth, so repeated `auth()` calls could keep retrying
with dead state.
This differed from the existing unauthorized-recovery flow, which
already did the safer thing: guarded reload from disk first, then
refresh only if the on-disk auth was unchanged.
## What Changed
- Switched proactive refresh in `AuthManager::auth()` to:
- do a pure staleness check on cached auth
- call `refresh_token()` when stale
- return the original cached auth on genuine refresh failure, preserving
existing outward behavior
- Removed the direct proactive refresh-from-cached-state path
- Added regression tests covering:
- stale cached auth with newer same-account auth already on disk
- the same scenario even when the refresh endpoint would fail if called
## Why This Fix
`refresh_token()` already contains the right cross-process safety
behavior:
- guarded reload from disk
- same-account verification
- skip-refresh when another process already changed auth
Reusing that path makes proactive refresh consistent with unauthorized
recovery and prevents stale processes from trying to refresh
already-rotated tokens.
## Testing
Test shape:
- create a fresh temp `CODEX_HOME` from `~/.codex/auth.json`
- force `last_refresh` to an old timestamp so proactive refresh is
required
- start two long-lived helper processes against the same auth file
- start `B` first so it caches stale auth and sleeps
- start `A` second so it refreshes first
- point both at a local mock `/oauth/token` server
- inspect whether `B` makes a second refresh request with the stale
in-memory token, or reloads the rotated token from disk
### Before the fix
The repro showed the bug clearly: the mock server saw two refreshes with
the same stale token, `A` rotated to a new token, and `B` still returned
the stale token instead of reloading from disk.
```text
POST /oauth/token refresh_token=rt_j6s0...
POST /oauth/token refresh_token=rt_j6s0...
B:cached_before=rt_j6s0...
B:cached_after=rt_j6s0...
B:returned=rt_j6s0...
A:cached_before=rt_j6s0...
A:cached_after=rotated-refresh-token-logged-run-v2
A:returned=rotated-refresh-token-logged-run-v2
```
### After the fix
After the fix, the mock server saw only one refresh request. `A`
refreshed once, and `B` started with the stale token but reloaded and
returned the rotated token.
```text
POST /oauth/token refresh_token=rt_j6s0...
B:cached_before=rt_j6s0...
B:cached_after=rotated-refresh-token-fix-branch
B:returned=rotated-refresh-token-fix-branch
A:cached_before=rt_j6s0...
A:cached_after=rotated-refresh-token-fix-branch
A:returned=rotated-refresh-token-fix-branch
```
This shows the new behavior: `A` refreshes once, then `B` reuses the
updated auth from disk instead of making a second refresh request with
the stale token.
- Move the auth implementation and token data into codex-login.
- Keep codex-core re-exporting that surface from codex-login for
existing callers.
---------
Co-authored-by: Codex <noreply@openai.com>
## Why
Once the repo-local lint exists, `codex-rs` needs to follow the
checked-in convention and CI needs to keep it from drifting. This commit
applies the fallback `/*param*/` style consistently across existing
positional literal call sites without changing those APIs.
The longer-term preference is still to avoid APIs that require comments
by choosing clearer parameter types and call shapes. This PR is
intentionally the mechanical follow-through for the places where the
existing signatures stay in place.
After rebasing onto newer `main`, the rollout also had to cover newly
introduced `tui_app_server` call sites. That made it clear the first cut
of the CI job was too expensive for the common path: it was spending
almost as much time installing `cargo-dylint` and re-testing the lint
crate as a representative test job spends running product tests. The CI
update keeps the full workspace enforcement but trims that extra
overhead from ordinary `codex-rs` PRs.
## What changed
- keep a dedicated `argument_comment_lint` job in `rust-ci`
- mechanically annotate remaining opaque positional literals across
`codex-rs` with exact `/*param*/` comments, including the rebased
`tui_app_server` call sites that now fall under the lint
- keep the checked-in style aligned with the lint policy by using
`/*param*/` and leaving string and char literals uncommented
- cache `cargo-dylint`, `dylint-link`, and the relevant Cargo
registry/git metadata in the lint job
- split changed-path detection so the lint crate's own `cargo test` step
runs only when `tools/argument-comment-lint/*` or `rust-ci.yml` changes
- continue to run the repo wrapper over the `codex-rs` workspace, so
product-code enforcement is unchanged
Most of the code changes in this commit are intentionally mechanical
comment rewrites or insertions driven by the lint itself.
## Verification
- `./tools/argument-comment-lint/run.sh --workspace`
- `cargo test -p codex-tui-app-server -p codex-tui`
- parsed `.github/workflows/rust-ci.yml` locally with PyYAML
---
* -> #14652
* #14651
## Stacked PRs
This work is now effectively split across two steps:
- #14178: add custom CA support for browser and device-code login flows,
docs, and hermetic subprocess tests
- #14239: extend that shared custom CA handling across Codex HTTPS
clients and secure websocket TLS
Note: #14240 was merged into this branch while it was stacked on top of
this PR. This PR now subsumes that websocket follow-up and should be
treated as the combined change.
Builds on top of #14178.
## Problem
Custom CA support landed first in the login path, but the real
requirement is broader. Codex constructs outbound TLS clients in
multiple places, and both HTTPS and secure websocket paths can fail
behind enterprise TLS interception if they do not honor
`CODEX_CA_CERTIFICATE` or `SSL_CERT_FILE` consistently.
This PR broadens the shared custom-CA logic beyond login and applies the
same policy to websocket TLS, so the enterprise-proxy story is no longer
split between “HTTPS works” and “websockets still fail”.
## What This Delivers
Custom CA support is no longer limited to login. Codex outbound HTTPS
clients and secure websocket connections can now honor the same
`CODEX_CA_CERTIFICATE` / `SSL_CERT_FILE` configuration, so enterprise
proxy/intercept setups work more consistently end-to-end.
For users and operators, nothing new needs to be configured beyond the
same CA env vars introduced in #14178. The change is that more of Codex
now respects them, including websocket-backed flows that were previously
still using default trust roots.
I also manually validated the proxy path locally with mitmproxy using:
`CODEX_CA_CERTIFICATE=~/.mitmproxy/mitmproxy-ca-cert.pem
HTTPS_PROXY=http://127.0.0.1:8080 just codex`
with mitmproxy installed via `brew install mitmproxy` and configured as
the macOS system proxy.
## Mental model
`codex-client` is now the owner of shared custom-CA policy for outbound
TLS client construction. Reqwest callers start from the builder
configuration they already need, then pass that builder through
`build_reqwest_client_with_custom_ca(...)`. Websocket callers ask the
same module for a rustls client config when a custom CA bundle is
configured.
The env precedence is the same everywhere:
- `CODEX_CA_CERTIFICATE` wins
- otherwise fall back to `SSL_CERT_FILE`
- otherwise use system roots
The helper is intentionally narrow. It loads every usable certificate
from the configured PEM bundle into the appropriate root store and
returns either a configured transport or a typed error that explains
what went wrong.
## Non-goals
This does not add handshake-level integration tests against a live TLS
endpoint. It does not validate that the configured bundle forms a
meaningful certificate chain. It also does not try to force every
transport in the repo through one abstraction; it extends the shared CA
policy across the reqwest and websocket paths that actually needed it.
## Tradeoffs
The main tradeoff is centralizing CA behavior in `codex-client` while
still leaving adoption up to call sites. That keeps the implementation
additive and reviewable, but it means the rule "outbound Codex TLS that
should honor enterprise roots must use the shared helper" is still
partly enforced socially rather than by types.
For websockets, the shared helper only builds an explicit rustls config
when a custom CA bundle is configured. When no override env var is set,
websocket callers still use their ordinary default connector path.
## Architecture
`codex-client::custom_ca` now owns CA bundle selection, PEM
normalization, mixed-section parsing, certificate extraction, typed
CA-loading errors, and optional rustls client-config construction for
websocket TLS.
The affected consumers now call into that shared helper directly rather
than carrying login-local CA behavior:
- backend-client
- cloud-tasks
- RMCP client paths that use `reqwest`
- TUI voice HTTP paths
- `codex-core` default reqwest client construction
- `codex-api` websocket clients for both responses and realtime
websocket connections
The subprocess CA probe, env-sensitive integration tests, and shared PEM
fixtures also live in `codex-client`, which is now the actual owner of
the behavior they exercise.
## Observability
The shared CA path logs:
- which environment variable selected the bundle
- which path was loaded
- how many certificates were accepted
- when `TRUSTED CERTIFICATE` labels were normalized
- when CRLs were ignored
- where client construction failed
Returned errors remain user-facing and include the relevant env var,
path, and remediation hint. That same error model now applies whether
the failure surfaced while building a reqwest client or websocket TLS
configuration.
## Tests
Pure unit tests in `codex-client` cover env precedence and PEM
normalization behavior. Real client construction remains in subprocess
tests so the suite can control process env and avoid the macOS seatbelt
panic path that motivated the hermetic test split.
The subprocess coverage verifies:
- `CODEX_CA_CERTIFICATE` precedence over `SSL_CERT_FILE`
- fallback to `SSL_CERT_FILE`
- single-cert and multi-cert bundles
- malformed and empty-file errors
- OpenSSL `TRUSTED CERTIFICATE` handling
- CRL tolerance for well-formed CRL sections
The websocket side is covered by the existing `codex-api` / `codex-core`
websocket test suites plus the manual mitmproxy validation above.
---------
Co-authored-by: Ivan Zakharchanka <3axap4eHko@gmail.com>
Co-authored-by: Codex <noreply@openai.com>
## Stacked PRs
This work is split across three stacked PRs:
- #14178: add custom CA support for browser and device-code login flows,
docs, and hermetic subprocess tests
- #14239: broaden the shared custom CA path from login to other outbound
`reqwest` clients across Codex
- #14240: extend that shared custom CA handling to secure websocket TLS
so websocket connections honor the same CA env vars
Review order: #14178, then #14239, then #14240.
Supersedes #6864.
Thanks to @3axap4eHko for the original implementation and investigation
here. Although this version rearranges the code and history
significantly, the majority of the credit for this work belongs to them.
## Problem
Login flows need to work in enterprise environments where outbound TLS
is intercepted by an internal proxy or gateway. In those setups, system
root certificates alone are often insufficient to validate the OAuth and
device-code endpoints used during login. The change adds a
login-specific custom CA loading path, but the important contracts
around env precedence, PEM compatibility, test boundaries, and
probe-only workarounds need to be explicit so reviewers can understand
what behavior is intentional.
For users and operators, the behavior is simple: if login needs to trust
a custom root CA, set `CODEX_CA_CERTIFICATE` to a PEM file containing
one or more certificates. If that variable is unset, login falls back to
`SSL_CERT_FILE`. If neither is set, login uses system roots. Invalid or
empty PEM files now fail with an error that points back to those
environment variables and explains how to recover.
## What This Delivers
Users can now make Codex login work behind enterprise TLS interception
by pointing `CODEX_CA_CERTIFICATE` at a PEM bundle containing the
relevant root certificates. If that variable is unset, login falls back
to `SSL_CERT_FILE`, then to system roots.
This PR applies that behavior to both browser-based and device-code
login flows. It also makes login tolerant of the PEM shapes operators
actually have in hand: multi-certificate bundles, OpenSSL `TRUSTED
CERTIFICATE` labels, and bundles that include well-formed CRLs.
## Mental model
`codex-login` is the place where the login flows construct ad hoc
outbound HTTP clients. That makes it the right boundary for a narrow CA
policy: look for `CODEX_CA_CERTIFICATE`, fall back to `SSL_CERT_FILE`,
load every parseable certificate block in that bundle into a
`reqwest::Client`, and fail early with a clear user-facing error if the
bundle is unreadable or malformed.
The implementation is intentionally pragmatic about PEM input shape. It
accepts ordinary certificate bundles, multi-certificate bundles, OpenSSL
`TRUSTED CERTIFICATE` labels, and bundles that also contain CRLs. It
does not validate a certificate chain or prove a handshake; it only
constructs the root store used by login.
## Non-goals
This change does not introduce a general-purpose transport abstraction
for the rest of the product. It does not validate whether the provided
bundle forms a real chain, and it does not add handshake-level
integration tests against a live TLS server. It also does not change
login state management or OAuth semantics beyond ensuring the existing
flows share the same CA-loading rules.
## Tradeoffs
The main tradeoff is keeping this logic scoped to login-specific client
construction rather than lifting it into a broader shared HTTP layer.
That keeps the review surface smaller, but it also means future
login-adjacent code must continue to use `build_login_http_client()` or
it can silently bypass enterprise CA overrides.
The `TRUSTED CERTIFICATE` handling is also intentionally a local
compatibility shim. The rustls ecosystem does not currently accept that
PEM label upstream, so the code normalizes it locally and trims the
OpenSSL `X509_AUX` trailer bytes down to the certificate DER that
`reqwest` can consume.
## Architecture
`custom_ca.rs` is now the single place that owns login CA behavior. It
selects the CA file from the environment, reads it, normalizes PEM label
shape where needed, iterates mixed PEM sections with `rustls-pki-types`,
ignores CRLs, trims OpenSSL trust metadata when necessary, and returns
either a configured `reqwest::Client` or a typed error.
The browser login server and the device-code flow both call
`build_login_http_client()`, so they share the same trust-store policy.
Environment-sensitive tests run through the `login_ca_probe` helper
binary because those tests must control process-wide env vars and cannot
reliably build a real reqwest client in-process on macOS seatbelt runs.
## Observability
The custom CA path logs which environment variable selected the bundle,
which file path was loaded, how many certificates were accepted, when
`TRUSTED CERTIFICATE` labels were normalized, when CRLs were ignored,
and where client construction failed. Returned errors remain user-facing
and include the relevant path, env var, and remediation hint.
This gives enough signal for three audiences:
- users can see why login failed and which env/file caused it
- sysadmins can confirm which override actually won
- developers can tell whether the failure happened during file read, PEM
parsing, certificate registration, or final reqwest client construction
## Tests
Pure unit tests stay limited to env precedence and empty-value handling.
Real client construction lives in subprocess tests so the suite remains
hermetic with respect to process env and macOS sandbox behavior.
The subprocess tests verify:
- `CODEX_CA_CERTIFICATE` precedence over `SSL_CERT_FILE`
- fallback to `SSL_CERT_FILE`
- single-certificate and multi-certificate bundles
- malformed and empty-bundle errors
- OpenSSL `TRUSTED CERTIFICATE` handling
- CRL tolerance for well-formed CRL sections
The named PEM fixtures under `login/tests/fixtures/` are shared by the
tests so their purpose stays reviewable.
---------
Co-authored-by: Ivan Zakharchanka <3axap4eHko@gmail.com>
Co-authored-by: Codex <noreply@openai.com>
## Problem
Browser login failures historically leave support with an incomplete
picture. HARs can show that the browser completed OAuth and reached the
localhost callback, but they do not explain why the native client failed
on the final `/oauth/token` exchange. Direct `codex login` also relied
mostly on terminal stderr and the browser error page, so even when the
login crate emitted better sign-in diagnostics through TUI or app-server
flows, the one-shot CLI path still did not leave behind an easy artifact
to collect.
## Mental model
This implementation treats the browser page, the returned `io::Error`,
and the normal structured log as separate surfaces with different safety
requirements. The browser page and returned error preserve the detail
that operators need to diagnose failures. The structured log stays
narrower: it records reviewed lifecycle events, parsed safe fields, and
redacted transport errors without becoming a sink for secrets or
arbitrary backend bodies.
Direct `codex login` now adds a fourth support surface: a small
file-backed log at `codex-login.log` under the configured `log_dir`.
That artifact carries the same login-target events as the other
entrypoints without changing the existing stderr/browser UX.
## Non-goals
This does not add auth logging to normal runtime requests, and it does
not try to infer precise transport root causes from brittle string
matching. The scope remains the browser-login callback flow in the
`login` crate plus a direct-CLI wrapper that persists those events to
disk.
This also does not try to reuse the TUI logging stack wholesale. The TUI
path initializes feedback, OpenTelemetry, and other session-oriented
layers that are useful for an interactive app but unnecessary for a
one-shot login command.
## Tradeoffs
The implementation favors fidelity for caller-visible errors and
restraint for persistent logs. Parsed JSON token-endpoint errors are
logged safely by field. Non-JSON token-endpoint bodies remain available
to the returned error so CLI and browser surfaces still show backend
detail. Transport errors keep their real `reqwest` message, but attached
URLs are surgically redacted. Custom issuer URLs are sanitized before
logging.
On the CLI side, the code intentionally duplicates a narrow slice of the
TUI file-logging setup instead of sharing the full initializer. That
keeps `codex login` easy to reason about and avoids coupling it to
interactive-session layers that the command does not need.
## Architecture
The core auth behavior lives in `codex-rs/login/src/server.rs`. The
callback path now logs callback receipt, callback validation,
token-exchange start, token-exchange success, token-endpoint non-2xx
responses, and transport failures. App-server consumers still use this
same login-server path via `run_login_server(...)`, so the same
instrumentation benefits TUI, Electron, and VS Code extension flows.
The direct CLI path in `codex-rs/cli/src/login.rs` now installs a small
file-backed tracing layer for login commands only. That writes
`codex-login.log` under `log_dir` with login-specific targets such as
`codex_cli::login` and `codex_login::server`.
## Observability
The main signals come from the `login` crate target and are
intentionally scoped to sign-in. Structured logs include redacted issuer
URLs, redacted transport errors, HTTP status, and parsed token-endpoint
fields when available. The callback-layer log intentionally avoids
`%err` on token-endpoint failures so arbitrary backend bodies do not get
copied into the normal log file.
Direct `codex login` now leaves a durable artifact for both failure and
success cases. Example output from the new file-backed CLI path:
Failing callback:
```text
2026-03-06T22:08:54.143612Z INFO codex_cli::login: starting browser login flow
2026-03-06T22:09:03.431699Z INFO codex_login::server: received login callback path=/auth/callback has_code=false has_state=true has_error=true state_valid=true
2026-03-06T22:09:03.431745Z WARN codex_login::server: oauth callback returned error error_code="access_denied" has_error_description=true
```
Succeeded callback and token exchange:
```text
2026-03-06T22:09:14.065559Z INFO codex_cli::login: starting browser login flow
2026-03-06T22:09:36.431678Z INFO codex_login::server: received login callback path=/auth/callback has_code=true has_state=true has_error=false state_valid=true
2026-03-06T22:09:36.436977Z INFO codex_login::server: starting oauth token exchange issuer=https://auth.openai.com/ redirect_uri=http://localhost:1455/auth/callback
2026-03-06T22:09:36.685438Z INFO codex_login::server: oauth token exchange succeeded status=200 OK
```
## Tests
- `cargo test -p codex-login`
- `cargo clippy -p codex-login --tests -- -D warnings`
- `cargo test -p codex-cli`
- `just bazel-lock-update`
- `just bazel-lock-check`
- manual direct `codex login` smoke tests for both a failing callback
and a successful browser login
---------
Co-authored-by: Codex <noreply@openai.com>
Validated login + refresh flows. Removing scopes from the refresh
request until we have upgrade flow in place. Confirmed that tokens
refresh with existing scopes.
## Problem
Users without Codex access can hit a confusing local login loop. In the
denial case, the callback could fall through to generic behavior
(including a plain "Missing authorization code" page) instead of clearly
explaining that access was denied.
<img width="842" height="464" alt="Screenshot 2026-02-19 at 11 43 45 PM"
src="https://github.com/user-attachments/assets/f7a25e1d-e480-4ac2-b0ff-8bfe31003e66"
/>
<img width="842" height="464" alt="Screenshot 2026-02-19 at 11 44 53 PM"
src="https://github.com/user-attachments/assets/8a4fe6e4-b27b-483c-9f0c-60164933221d"
/>
## Scope
This PR improves local login error clarity only. It does not change
entitlement policy, RBAC rules, or who is allowed to use Codex.
## What Changed
- The local OAuth callback handler now parses `error` and
`error_description` on `/auth/callback` and exits the callback loop with
a real failure.
- Callback failures render a branded local Codex error page instead of a
generic/plain page.
- `access_denied` + `missing_codex_entitlement` is now mapped to an
explicit user-facing message telling the user Codex is not enabled for
their workspace and to contact their workspace administrator for access.
- Unknown OAuth callback errors continue to use a generic error page
while preserving the OAuth error code/details for debugging.
- Added the login error page template to Bazel assets so the local
binary can render it in Bazel builds.
## Non-goals
- No TUI onboarding/toast changes in this PR.
- No backend entitlement or policy changes.
## Tests
- Added an end-to-end `codex-login` test for `access_denied` +
`missing_codex_entitlement` and verified the page shows the actionable
admin guidance.
- Added an end-to-end `codex-login` test for a generic `access_denied`
reason to verify we keep a generic fallback page/message.
…ount_id and chatgpt_plan_type
### Summary
Following up on external auth mode which was introduced here:
https://github.com/openai/codex/pull/10012
Turns out some clients have a differently shaped ID token and don't have
a chosen workspace (aka chatgpt_account_id) encoded in their ID token.
So, let's replace `id_token` param with `chatgpt_account_id` and
`chatgpt_plan_type` (optional) when initializing the external ChatGPT
auth mode (`account/login/start` with `chatgptAuthTokens`).
The client was able to test end-to-end with a Codex build from this
branch and verified it worked!
When using ChatGPT in names of types, we should be consistent, so this
renames some types with `ChatGpt` in the name to `Chatgpt`. From
https://rust-lang.github.io/api-guidelines/naming.html:
> In `UpperCamelCase`, acronyms and contractions of compound words count
as one word: use `Uuid` rather than `UUID`, `Usize` rather than `USize`
or `Stdin` rather than `StdIn`. In `snake_case`, acronyms and
contractions are lower-cased: `is_xid_start`.
This PR updates existing uses of `ChatGpt` and changes them to
`Chatgpt`. Though in all cases where it could affect the wire format, I
visually inspected that we don't change anything there. That said, this
_will_ change the codegen because it will affect the spelling of type
names.
For example, this renames `AuthMode::ChatGPT` to `AuthMode::Chatgpt` in
`app-server-protocol`, but the wire format is still `"chatgpt"`.
This PR also updates a number of types in `codex-rs/core/src/auth.rs`.
This enables a new use case where `codex app-server` is embedded into a
parent application that will directly own the user's ChatGPT auth
lifecycle, which means it owns the user’s auth tokens and refreshes it
when necessary. The parent application would just want a way to pass in
the auth tokens for codex to use directly.
The idea is that we are introducing a new "auth mode" currently only
exposed via app server: **`chatgptAuthTokens`** which consist of the
`id_token` (stores account metadata) and `access_token` (the bearer
token used directly for backend API calls). These auth tokens are only
stored in-memory. This new mode is in addition to the existing `apiKey`
and `chatgpt` auth modes.
This PR reuses the shape of our existing app-server account APIs as much
as possible:
- Update `account/login/start` with a new `chatgptAuthTokens` variant,
which will allow the client to pass in the tokens and have codex
app-server use them directly. Upon success, the server emits
`account/login/completed` and `account/updated` notifications.
- A new server->client request called
`account/chatgptAuthTokens/refresh` which the server can use whenever
the access token previously passed in has expired and it needs a new one
from the parent application.
I leveraged the core 401 retry loop which typically triggers auth token
refreshes automatically, but made it pluggable:
- **chatgpt** mode refreshes internally, as usual.
- **chatgptAuthTokens** mode calls the client via
`account/chatgptAuthTokens/refresh`, the client responds with updated
tokens, codex updates its in-memory auth, then retries. This RPC has a
10s timeout and handles JSON-RPC errors from the client.
Also some additional things:
- chatgpt logins are blocked while external auth is active (have to log
out first. typically clients will pick one OR the other, not support
both)
- `account/logout` clears external auth in memory
- Ensures that if `forced_chatgpt_workspace_id` is set via the user's
config, we respect it in both:
- `account/login/start` with `chatgptAuthTokens` (returns a JSON-RPC
error back to the client)
- `account/chatgptAuthTokens/refresh` (fails the turn, and on next
request app-server will send another `account/chatgptAuthTokens/refresh`
request to the client).
This PR configures Codex CLI so it can be built with
[Bazel](https://bazel.build) in addition to Cargo. The `.bazelrc`
includes configuration so that remote builds can be done using
[BuildBuddy](https://www.buildbuddy.io).
If you are familiar with Bazel, things should work as you expect, e.g.,
run `bazel test //... --keep-going` to run all the tests in the repo,
but we have also added some new aliases in the `justfile` for
convenience:
- `just bazel-test` to run tests locally
- `just bazel-remote-test` to run tests remotely (currently, the remote
build is for x86_64 Linux regardless of your host platform). Note we are
currently seeing the following test failures in the remote build, so we
still need to figure out what is happening here:
```
failures:
suite::compact::manual_compact_twice_preserves_latest_user_messages
suite::compact_resume_fork::compact_resume_after_second_compaction_preserves_history
suite::compact_resume_fork::compact_resume_and_fork_preserve_model_history_view
```
- `just build-for-release` to build release binaries for all
platforms/architectures remotely
To setup remote execution:
- [Create a buildbuddy account](https://app.buildbuddy.io/) (OpenAI
employees should also request org access at
https://openai.buildbuddy.io/join/ with their `@openai.com` email
address.)
- [Copy your API key](https://app.buildbuddy.io/docs/setup/) to
`~/.bazelrc` (add the line `build
--remote_header=x-buildbuddy-api-key=YOUR_KEY`)
- Use `--config=remote` in your `bazel` invocations (or add `common
--config=remote` to your `~/.bazelrc`, or use the `just` commands)
## CI
In terms of CI, this PR introduces `.github/workflows/bazel.yml`, which
uses Bazel to run the tests _locally_ on Mac and Linux GitHub runners
(we are working on supporting Windows, but that is not ready yet). Note
that the failures we are seeing in `just bazel-remote-test` do not occur
on these GitHub CI jobs, so everything in `.github/workflows/bazel.yml`
is green right now.
The `bazel.yml` uses extra config in `.github/workflows/ci.bazelrc` so
that macOS CI jobs build _remotely_ on Linux hosts (using the
`docker://docker.io/mbolin491/codex-bazel` Docker image declared in the
root `BUILD.bazel`) using cross-compilation to build the macOS
artifacts. Then these artifacts are downloaded locally to GitHub's macOS
runner so the tests can be executed natively. This is the relevant
config that enables this:
```
common:macos --config=remote
common:macos --strategy=remote
common:macos --strategy=TestRunner=darwin-sandbox,local
```
Because of the remote caching benefits we get from BuildBuddy, these new
CI jobs can be extremely fast! For example, consider these two jobs that
ran all the tests on Linux x86_64:
- Bazel 1m37s
https://github.com/openai/codex/actions/runs/20861063212/job/59940545209?pr=8875
- Cargo 9m20s
https://github.com/openai/codex/actions/runs/20861063192/job/59940559592?pr=8875
For now, we will continue to run both the Bazel and Cargo jobs for PRs,
but once we add support for Windows and running Clippy, we should be
able to cutover to using Bazel exclusively for PRs, which should still
speed things up considerably. We will probably continue to run the Cargo
jobs post-merge for commits that land on `main` as a sanity check.
Release builds will also continue to be done by Cargo for now.
Earlier attempt at this PR: https://github.com/openai/codex/pull/8832
Earlier attempt to add support for Buck2, now abandoned:
https://github.com/openai/codex/pull/8504
---------
Co-authored-by: David Zbarsky <dzbarsky@gmail.com>
Co-authored-by: Michael Bolin <mbolin@openai.com>
## Summary
When using device-code login with a custom issuer
(`--experimental_issuer`), Codex correctly uses that issuer for the auth
flow — but the **terminal prompt still told users to open the default
OpenAI device URL** (`https://auth.openai.com/codex/device`). That’s
confusing and can send users to the **wrong domain** (especially for
enterprise/staging issuers). This PR updates the prompt (and related
URLs) to consistently use the configured issuer. 🎯
---
## 🔧 What changed
* 🔗 **Device auth prompt link** now uses the configured issuer (instead
of a hard-coded OpenAI URL)
* 🧭 **Redirect callback URL** is derived from the same issuer for
consistency
* 🧼 Minor cleanup: normalize the issuer base URL once and reuse it
(avoids formatting quirks like trailing `/`)
---
## 🧪 Repro + Before/After
### ▶️ Command
```bash
codex login --device-auth --experimental_issuer https://auth.example.com
```
### ❌ Before (wrong link shown)
```text
1. Open this link in your browser and sign in to your account
https://auth.openai.com/codex/device
```
### ✅ After (correct link shown)
```text
1. Open this link in your browser and sign in to your account
https://auth.example.com/codex/device
```
Full example output (same as before, but with the correct URL):
```text
Welcome to Codex [v0.72.0]
OpenAI's command-line coding agent
Follow these steps to sign in with ChatGPT using device code authorization:
1. Open this link in your browser and sign in to your account
https://auth.example.com/codex/device
2. Enter this one-time code (expires in 15 minutes)
BUT6-0M8K4
Device codes are a common phishing target. Never share this code.
```
---
## ✅ Test plan
* 🟦 `codex login --device-auth` (default issuer): output remains
unchanged
* 🟩 `codex login --device-auth --experimental_issuer
https://auth.example.com`:
* prompt link points to the issuer ✅
* callback URL is derived from the same issuer ✅
* no double slashes / mismatched domains ✅
Co-authored-by: Eric Traut <etraut@openai.com>
This PR is a follow-up to #5591. It allows users to choose which auth
storage mode they want by using the new
`cli_auth_credentials_store_mode` config.
This PR introduces a new `Auth Storage` abstraction layer that takes
care of read, write, and load of auth tokens based on the
AuthCredentialsStoreMode. It is similar to how we handle MCP client
oauth
[here](https://github.com/openai/codex/blob/main/codex-rs/rmcp-client/src/oauth.rs).
Instead of reading and writing directly from disk for auth tokens, Codex
CLI workflows now should instead use this auth storage using the public
helper functions.
This PR is just a refactor of the current code so the behavior stays the
same. We will add support for keyring and hybrid mode in follow-up PRs.
I have read the CLA Document and I hereby sign the CLA
This PR fixes a bug that results in a hang in the oauth login flow if a
user logs in, then logs out, then logs in again without first closing
the browser window.
Root cause of problem: We use a local web server for the oauth flow, and
it's implemented using the `tiny_http` rust crate. During the first
login, a socket is created between the browser and the server. The
`tiny_http` library creates worker threads that persist for as long as
this socket remains open. Currently, there's no way to close the
connection on the server side — the library provides no API to do this.
The library also filters all "Connect: close" headers, which makes it
difficult to tell the client browser to close the connection. On the
second login attempt, the browser uses the existing connection rather
than creating a new one. Since that connection is associated with a
server instance that no longer exists, it is effectively ignored.
I considered switching from `tiny_http` to a different web server
library, but that would have been a big change with significant
regression risk. This PR includes a more surgical fix that works around
the limitation of `tiny_http` and sends a "Connect: close" header on the
last "success" page of the oauth flow.
**Summary**
This PR fixes an issue in the device code login flow where trailing
slashes in the issuer URL could cause malformed URLs during codex token
exchange step
**Test**
Before the changes
`Error logging in with device code: device code exchange failed: error
decoding response body`
After the changes
`Successfully logged in`
# 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 continue the separation between `codex app-server` and `codex
mcp-server`.
In particular, we introduce a new crate, `codex-app-server-protocol`,
and migrate `codex-rs/protocol/src/mcp_protocol.rs` into it, renaming it
`codex-rs/app-server-protocol/src/protocol.rs`.
Because `ConversationId` was defined in `mcp_protocol.rs`, we move it
into its own file, `codex-rs/protocol/src/conversation_id.rs`, and
because it is referenced in a ton of places, we have to touch a lot of
files as part of this PR.
We also decide to get away from proper JSON-RPC 2.0 semantics, so we
also introduce `codex-rs/app-server-protocol/src/jsonrpc_lite.rs`, which
is basically the same `JSONRPCMessage` type defined in `mcp-types`
except with all of the `"jsonrpc": "2.0"` removed.
Getting rid of `"jsonrpc": "2.0"` makes our serialization logic
considerably simpler, as we can lean heavier on serde to serialize
directly into the wire format that we use now.
# 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.
# test
```
codex-rs % export CODEX_DEVICE_AUTH_BASE_URL=http://localhost:3007
codex-rs % cargo run --bin codex login --experimental_use-device-code
Compiling codex-login v0.0.0 (/Users/rakesh/code/codex/codex-rs/login)
Compiling codex-mcp-server v0.0.0 (/Users/rakesh/code/codex/codex-rs/mcp-server)
Compiling codex-tui v0.0.0 (/Users/rakesh/code/codex/codex-rs/tui)
Compiling codex-cli v0.0.0 (/Users/rakesh/code/codex/codex-rs/cli)
Finished `dev` profile [unoptimized + debuginfo] target(s) in 2.90s
Running `target/debug/codex login --experimental_use-device-code`
To authenticate, enter this code when prompted: 6Q27-KBVRF with interval 5
^C
```
The error in the last line is since the poll endpoint is not yet
implemented
This changes the reqwest client used in tests to be sandbox-friendly,
and skips a bunch of other tests that don't work inside the
sandbox/without network.
When logging in using ChatGPT using the `codex login` command, a
successful login should write a new `auth.json` file with the ChatGPT
token information. The old code attempted to retain the API key and
merge the token information into the existing `auth.json` file. With the
new simplified login mechanism, `auth.json` should have auth information
for only ChatGPT or API Key, not both.
The `codex login --api-key <key>` code path was already doing the right
thing here, but the `codex login` command was incorrect. This PR fixes
the problem and adds test cases for both commands.
Created this PR by:
- adding `redundant_clone` to `[workspace.lints.clippy]` in
`cargo-rs/Cargol.toml`
- running `cargo clippy --tests --fix`
- running `just fmt`
Though I had to clean up one instance of the following that resulted:
```rust
let codex = codex;
```
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.
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.
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.
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.
arnavdugar-openaiandGitHub
Eric TrautandGitHub
Michael BolinandGitHub
Alex DaleyandGitHub
Jeremy RoseandGitHub
daniel-oaiandGitHub
Owen LinandGitHub
Matthew ZengandGitHub
Gabriel PealandGitHub
pakrym-oaiandGitHub
jif-oaiandGitHub
