## Summary
Stacked on #26706.
Adds the shared auth/system-proxy contract that later platform resolver
PRs plug into. This PR moves Codex-owned auth and startup HTTP clients
through a common route-aware boundary, but does not yet add Windows or
macOS system proxy resolution.
The default path remains unchanged when `respect_system_proxy` is absent
or disabled.
## Implementation
- Adds `codex-client/src/outbound_proxy.rs` with the shared
route-selection model:
- `OutboundProxyConfig`;
- `ClientRouteClass`;
- `RouteFailureClass`;
- `build_reqwest_client_for_route`.
- Preserves the existing reqwest/default-client behavior when no route
config is supplied.
- Uses the fixed MVP routing policy when route config is supplied:
platform system/PAC/WPAD discovery, then explicit env proxy variables,
then direct connection.
- Keeps platform-specific system discovery behind the shared client
boundary. This PR provides the contract and fallback behavior; later
resolver PRs plug in Windows and macOS discovery.
- Adds `login::AuthRouteConfig` so auth call sites depend on a small
policy type instead of platform resolver details.
- Maps the resolved `Config.respect_system_proxy` boolean into
`AuthRouteConfig` for auth-owned clients.
- Wires the route config through browser login, device-code login,
access-token login, login status, logout/revoke, token refresh, API-key
exchange, app-server account login, TUI/app startup, cloud-config
bootstrap, cloud tasks, plugin auth, and exec startup config loading.
## End-user behavior
- No behavior changes by default.
- When `respect_system_proxy = true`, auth-owned clients opt into the
shared route-aware client path.
- On platforms without a resolver implementation in this PR, system
discovery is unavailable and the route-aware path falls back to explicit
env proxy handling, then direct connection.
- Custom CA handling remains separate from proxy route selection and
still runs through the shared client builder.
- No proxy URLs, PAC contents, or resolved platform details are exposed
through the public config surface introduced here.
## Tests
Adds or updates coverage for:
- preserving default auth-client fallback behavior when no route config
is provided;
- injected environment-proxy fallback without mutating process
environment;
- existing login-server E2E flows using explicit `auth_route_config:
None` to guard unchanged default behavior;
- updated auth manager, login, logout, cloud-config, startup, and
plugin-auth call sites passing route config explicitly.
## Why
Windows Credential Manager limits generic credential blobs to 2,560
bytes. Large serialized ChatGPT auth payloads can exceed that limit, so
keyring-mode CLI auth needs a backend that keeps only the encryption key
in the OS keyring and stores the payload in Codex's encrypted
local-secrets file.
This is the third PR in the encrypted-auth stack:
1. #27504 — feature and config selection
2. #27535 — auth-specific local-secrets namespaces
3. This PR — CLI auth implementation and activation
4. MCP OAuth implementation and activation
## What Changed
- Added encrypted CLI-auth storage using the `CliAuth` secrets
namespace.
- Preserved direct keyring storage for platforms/configurations where it
remains selected.
- Selected the backend consistently for login, logout, refresh,
device-code login, auth loading, and login restrictions.
- Threaded resolved bootstrap/full config through CLI, exec, TUI,
app-server account handling, cloud config, and cloud tasks.
- Removed stale `auth.json` fallback data after successful encrypted
saves and removed encrypted, direct-keyring, and fallback data during
logout.
- Added storage and integration coverage for both direct and encrypted
keyring modes.
MCP OAuth persistence is intentionally left to the next PR.
## Validation
- `just test -p codex-login` — 131 passed
- `just test -p codex-cli` — 280 passed
- `just test -p codex-app-server v2::account` — 25 passed
- `just test -p codex-cloud-config service` — 21 passed, 7 skipped
- `just fix -p codex-login`
- `just fix -p codex-cli`
- `just fmt`
## Why
`codex login` previously persisted newly issued OAuth credentials and
only then attempted to revoke the superseded refresh token. The old
credential must be revoked before a replacement browser or device-code
flow starts, and successful login must not perform any post-login
revocation attempt.
## What changed
- Revoke and clear existing stored auth before browser or device-code
CLI login begins.
- Remove superseded-token detection and revocation from the shared token
persistence path; successful login now only saves the new credentials.
- Read the raw configured auth store during CLI cleanup so
environment-provided auth cannot mask the stored refresh token.
- Preserve `auto` storage fallback semantics when keyring deletion fails
by clearing the fallback auth file.
- Add a process-level CLI regression test that requires the revoke
request to precede every device-login request and occur exactly once.
If replacement login is canceled or fails, the previous local
credentials have already been cleared. Remote revocation remains best
effort, matching explicit logout behavior.
## Validation
### Process-level before/after reproduction
I compiled the real `codex` CLI from the pre-fix parent (`14df0e8833`)
and from the PR implementation (`25c002f23b`; the login behavior is
unchanged at the current head), then ran the same device-code flow
against a local HTTP mock OAuth authority.
Each run:
1. Used a fresh temporary `CODEX_HOME` configured with
`cli_auth_credentials_store = "file"`.
2. Seeded that temporary home with managed ChatGPT auth containing
`old-access` and `old-refresh` tokens.
3. Pointed `CODEX_REVOKE_TOKEN_URL_OVERRIDE` at the mock `/oauth/revoke`
endpoint.
4. Ran the compiled CLI as:
```shell
CODEX_HOME=<temporary-home> \
CODEX_REVOKE_TOKEN_URL_OVERRIDE=<mock-issuer>/oauth/revoke \
<compiled-codex> login --device-auth --experimental_issuer <mock-issuer>
```
5. Recorded every request received by the mock authority. The mock
marked `new-access` valid when `/oauth/token` issued it and invalidated
it if `/oauth/revoke` arrived afterward, reproducing the observed
session-invalidating failure mode. After login exited, the harness also
verified the persisted refresh token and probed a protected endpoint
with `new-access`.
| Build | Observed request order | CLI/persistence result | `new-access`
probe |
| --- | --- | --- | --- |
| Pre-fix | `usercode → device token → OAuth token →
revoke(old-refresh)` | Exit `0`; `new-refresh` persisted | `401` |
| PR | `revoke(old-refresh) → usercode → device token → OAuth token` |
Exit `0`; `new-refresh` persisted | `200` |
The PR run therefore issued exactly one revocation request, before any
request that initiated the replacement login, and issued no revocation
after token exchange.
### Regression coverage
`codex-rs/cli/tests/login.rs::device_login_revokes_existing_auth_before_requesting_new_tokens`
runs the real first-party `codex` binary against a `wiremock` OAuth
server with an isolated temporary `CODEX_HOME`. It asserts:
- the exact request sequence is `/oauth/revoke`,
`/api/accounts/deviceauth/usercode`, `/api/accounts/deviceauth/token`,
then `/oauth/token`;
- there is exactly one revoke request and its body contains
`old-refresh` with the `refresh_token` hint;
- the completed login persists `new-refresh`.
Local validation:
- `just test -p codex-login` — 130 passed
- `just test -p codex-cli` — 280 passed, including the new process-level
regression test
- `just bazel-lock-check`
## Summary
- validate a hydrated personal access token's workspace against
`forced_chatgpt_workspace_id` before persisting `codex login
--with-access-token`
- apply the same PAT-only check when restricted auth managers load
environment, ephemeral, or persisted credentials
- enforce PAT workspace restrictions in the existing central
login-restriction path
- leave Agent Identity and cloud bootstrap behavior unchanged
## Scope
This is intentionally the small PAT-only change. It does not attempt the
broader auth-manager/bootstrap unification; that needs separate design
work.
## Validation
- `CARGO_INCREMENTAL=0 CARGO_TARGET_DIR=/tmp/codex-pat-target just test
-p codex-login -p codex-cli` (410 passed)
- `CARGO_INCREMENTAL=0 CARGO_TARGET_DIR=/tmp/codex-pat-target just fix
-p codex-login -p codex-cli`
- `just fmt`
- `git diff --check`
Context: https://openai.slack.com/archives/D0AUPLV03RQ/p1781138331548269
## Why
Codex needs to manage Amazon Bedrock API key credentials through the
existing auth lifecycle instead of introducing a separate auth manager
or provider-specific credential file. Treating Bedrock API key login as
a primary auth mode gives it the same persistence, keyring, reload, and
logout behavior as the existing OpenAI API key and ChatGPT modes.
The credential is valid only for the `amazon-bedrock` model provider.
OpenAI-compatible providers must reject this auth mode rather than
treating the Bedrock key as an OpenAI bearer token.
## What changed
- Added `bedrockApiKey` as an app-server `AuthMode` and
`CodexAuth::BedrockApiKey` as a primary `AuthManager` mode.
- Added `BedrockApiKeyAuth`, containing the API key and AWS region, to
the existing `AuthDotJson` payload stored in `$CODEX_HOME/auth.json` or
the configured keyring backend.
- Added `login_with_bedrock_api_key(...)`, parallel to
`login_with_api_key(...)`, which replaces the current stored login with
Bedrock credentials.
- Reused generic auth reload and logout behavior instead of adding a
Bedrock-specific auth manager or logout path.
- Updated login restrictions, status reporting, diagnostics, telemetry
classification, generated app-server schemas, and auth fixtures for the
new mode.
- Added explicit errors when Bedrock API key auth is selected with an
OpenAI-compatible model provider.
This PR establishes managed storage and auth-mode behavior. Routing the
managed key and region into Amazon Bedrock requests will be in follow-up
PRs.
## Summary
- add v2 personal access token support for `codex login
--with-access-token` and `CODEX_ACCESS_TOKEN`
- classify opaque `at-` tokens separately from legacy Agent Identity
JWTs
- hydrate required ChatGPT account metadata through AuthAPI
`/v1/user-auth-credential/whoami`
- use PATs directly as bearer tokens while preserving existing ChatGPT
account surfaces
- expose PAT-backed auth as the explicit `personalAccessToken`
app-server auth mode
## Implementation
PAT auth is intentionally small and stateless. Loading a PAT performs
one AuthAPI metadata request, stores the hydrated metadata in the
in-memory auth object, and redacts the secret from debug output. Legacy
Agent Identity JWT handling remains unchanged. The shared access-token
classifier lives in a private neutral module because it dispatches
between both credential types.
PAT hydration fails closed when AuthAPI omits any required metadata,
including email. Hydrated metadata is intentionally not persisted:
startup performs a live `whoami` preflight so revoked tokens or changed
account metadata are not accepted from a stale cache.
## Workspace restriction scope
This change intentionally does **not** apply
`forced_chatgpt_workspace_id` to PAT authentication. The setting is a
client-side config guardrail, not an authorization boundary, and PAT
does not currently require workspace-ID parity. The PAT login and
`CODEX_ACCESS_TOKEN` paths therefore validate through AuthAPI without
threading workspace-restriction state through access-token loading.
Existing workspace checks for non-PAT auth remain on their established
paths.
## App-server compatibility
The public app-server `AuthMode` is shared across v1 and v2, and
PAT-backed auth reports `personalAccessToken` through both APIs.
Following human review, this intentionally removes the temporary v1
compatibility mapping that reported PATs as `chatgpt`; the deprecated v1
API is kept in parity with v2 rather than maintaining a separate closed
enum. Clients with exhaustive auth-mode handling in either API version
must add the new case and should generally treat it as ChatGPT-backed
unless they need PAT-specific behavior.
The v1 auth-status response still omits the raw PAT when `includeToken`
is requested because that response cannot carry the account metadata
needed to reuse the credential safely. Persisted PAT auth also omits the
new enum value so older Codex builds can deserialize `auth.json` and
infer PAT auth from the credential field after a rollback.
## Validation
Latest review-fix validation:
- `CARGO_INCREMENTAL=0 just test -p codex-login` (126 passed)
- `CARGO_INCREMENTAL=0 just test -p codex-cli` (263 passed)
- `CARGO_INCREMENTAL=0 just test -p codex-cli
stored_auth_validation_handles_personal_access_token`
- `CARGO_INCREMENTAL=0 just test -p codex-app-server-protocol` (226
passed)
- `CARGO_INCREMENTAL=0 just test -p codex-models-manager
refresh_available_models_uses_remote_only_catalog_for_chatgpt_auth`
- `CARGO_INCREMENTAL=0 just test -p codex-tui
existing_non_oauth_chatgpt_login_counts_as_signed_in`
- `CARGO_INCREMENTAL=0 just fix -p codex-login -p
codex-app-server-protocol -p codex-models-manager -p codex-tui -p
codex-cli`
- `just fmt`
- `git diff --check`
The broader `codex-tui` suite previously compiled and ran 2,834 tests.
Three unrelated environment-sensitive guardian/IDE-socket tests failed
after retries; the PAT-relevant TUI coverage passed.
## Summary
This change lets `forced_chatgpt_workspace_id` accept multiple workspace
IDs instead of a single value.
It keeps the existing config key name, adds backward-compatible parsing
for a single string in `config.toml`, and normalizes the setting into an
allowed workspace list across login enforcement, app-server config
surfaces, and local ChatGPT auth helpers.
## Why
Workspace-restricted deployments may need to allow more than one ChatGPT
workspace without dropping the guardrail entirely.
## Server-side impact
Codex's local server and app-server protocol needed changes because they
previously assumed a single workspace ID. The local login flow now
matches the auth backend interface by sending the allowed workspace list
as a single comma-separated `allowed_workspace_id` query parameter.
## Validation
This was tested with:
- A single workspace config
- With multi-workspace configs
- With multiple workspaces in the config
- The user only being a part of a subset of them
All were successful.
Automated coverage:
- `cargo test -p codex-login`
- `cargo test -p codex-app-server-protocol`
- `cargo test -p codex-tui local_chatgpt_auth`
- `cargo test --locked -p codex-app-server
login_account_chatgpt_includes_forced_workspace_allowlist_query_param`
## Why
The external startup/login surface for this auth path should talk about
an access token instead of exposing the internal Agent Identity
terminology. Users should pass `CODEX_ACCESS_TOKEN` or pipe a token into
`codex login --with-access-token`; the old external env/flag spellings
are removed so there is only one supported user-facing path.
## What Changed
- Added `CODEX_ACCESS_TOKEN` as the supported environment variable for
this auth path.
- Added `codex login --with-access-token` as the supported stdin-based
login command.
- Removed the legacy `CODEX_AGENT_IDENTITY` env-var fallback and hidden
`--with-agent-identity` CLI alias.
- Updated CLI error, status, and stdin prompts to use access-token
language.
- Added coverage for access-token env loading, CLI login failure
behavior, and renamed login status text.
## Validation
- `cargo test -p codex-login`
- `cargo test -p codex-cli`
- `just fix -p codex-login`
- `just fix -p codex-cli`
## Summary
Auth loading used to expose synchronous construction helpers in several
places even though some auth sources now need async work. This PR makes
the auth-loading surface async and updates the callers to await it.
This is intentionally only plumbing. It does not change how
AgentIdentity tokens are decoded, how task runtime ids are allocated, or
how JWT signatures are verified.
## Stack
1. **This PR:** [refactor: make auth loading
async](https://github.com/openai/codex/pull/19762)
2. [refactor: load AgentIdentity runtime
eagerly](https://github.com/openai/codex/pull/19763)
3. [feat: verify AgentIdentity JWTs with
JWKS](https://github.com/openai/codex/pull/19764)
## Important call sites
| Area | Change |
| --- | --- |
| `codex-login` auth loading | `CodexAuth` and `AuthManager`
construction paths now await auth loading. |
| app-server startup | Auth manager construction is awaited during
initialization. |
| CLI/TUI/exec/MCP/chatgpt callers | Existing auth-loading calls now
await the same behavior. |
| cloud requirements storage loader | The loader becomes async so it can
share the same auth construction path. |
| auth tests | Tests that load auth now run in async contexts. |
## Testing
Tests: targeted Rust auth test compilation, formatter, scoped Clippy
fix, and Bazel lock check.
## Summary
This PR lets programmatic AgentIdentity users provide one token through
either stdin login or environment auth.
`codex login --with-agent-identity` reads an Agent Identity JWT from
stdin, validates that it has the required claims, and stores that token
as the `agent_identity` value in `auth.json`. The file format is
token-only; the decoded account and key fields are runtime state, not
hand-authored auth.json fields.
The Agent Identity JWT claim shape and decoder live in
`codex-agent-identity`; `codex-login` only owns env/storage precedence
and conversion into `CodexAuth::AgentIdentity`.
When env auth is enabled, `CODEX_AGENT_IDENTITY` can provide the same
JWT without writing auth state to disk. `CODEX_API_KEY` still wins if
both env vars are set.
Reference old stack: https://github.com/openai/codex/pull/17387/changes
Reference JWT/env stack: https://github.com/openai/codex/pull/18176
## Stack
1. https://github.com/openai/codex/pull/18757: full revert
2. https://github.com/openai/codex/pull/18871: isolated Agent Identity
crate
3. https://github.com/openai/codex/pull/18785: explicit AgentIdentity
auth mode and startup task allocation
4. https://github.com/openai/codex/pull/18811: migrate Codex backend
auth callsites through AuthProvider
5. This PR: accept AgentIdentity JWTs through login/env
## Testing
Tests: targeted login and Agent Identity crate tests, CLI checks, scoped
formatter/linter cleanup, and CI.
---------
Co-authored-by: Shijie Rao <shijie.rao@openai.com>
## Summary
This PR adds `CodexAuth::AgentIdentity` as an explicit auth mode.
An AgentIdentity auth record is a standalone `auth.json` mode. When
`AuthManager::auth().await` loads that mode, it registers one
process-scoped task and stores it in runtime-only state on the auth
value. Header creation stays synchronous after that because the task is
initialized before callers receive the auth object.
This PR also removes the old feature flag path. AgentIdentity is
selected by explicit auth mode, not by a hidden flag or lazy mutation of
ChatGPT auth records.
Reference old stack: https://github.com/openai/codex/pull/17387/changes
## Design Decisions
- AgentIdentity is a real auth enum variant because it can be the only
credential in `auth.json`.
- The process task is ephemeral runtime state. It is not serialized and
is not stored in rollout/session data.
- Account/user metadata needed by existing Codex backend checks lives on
the AgentIdentity record for now.
- `is_chatgpt_auth()` remains token-specific.
- `uses_codex_backend()` is the broader predicate for ChatGPT-token auth
and AgentIdentity auth.
## Stack
1. https://github.com/openai/codex/pull/18757: full revert
2. https://github.com/openai/codex/pull/18871: isolated Agent Identity
crate
3. This PR: explicit AgentIdentity auth mode and startup task allocation
4. https://github.com/openai/codex/pull/18811: migrate Codex backend
auth callsites through AuthProvider
5. https://github.com/openai/codex/pull/18904: accept AgentIdentity JWTs
and load `CODEX_AGENT_IDENTITY`
## Testing
Tests: targeted Rust checks, cargo-shear, Bazel lock check, and CI.
## Summary
This changes Codex logout so managed ChatGPT auth is revoked against
AuthAPI before local auth state is removed. CLI logout, TUI `/logout`,
and the app-server account logout path now use the token-revoking logout
flow instead of only deleting `auth.json` / credential store state.
## Root Cause
Logout previously cleared only local auth storage. That removed Codex's
local credentials but did not ask the backend to invalidate the
refresh/access token state associated with a managed ChatGPT login.
## Behavior
For managed ChatGPT auth, logout sends the stored refresh token to
`https://auth.openai.com/oauth/revoke` with `token_type_hint:
refresh_token` and the Codex OAuth client id, then deletes all local
auth stores after revocation succeeds. If only an access token is
available, it falls back to revoking that access token. API key auth and
externally supplied `chatgptAuthTokens` are still only cleared locally
because Codex does not own a refresh token for those modes.
Revocation failures are fail-closed: if Codex cannot load stored auth or
the backend revoke call fails, logout returns an error and leaves local
auth in place so the user can retry instead of silently clearing local
state while backend tokens remain valid.
## Validation
ran local version of `codex-cli` with staging overrides/harness for auth
ran `codex login` then `codex logout`:
saw auth.json clear and backend revocation endpoints were called
```
POST /oauth/revoke
status: 200
revoking access token
should clear auth session
clearing auth session due to token revocation
successfully revoked session and access token
CANONICAL-API-LINE Response: status='200' method='POST' path='/oauth/revoke
```
---------
Co-authored-by: Codex <noreply@openai.com>
Stacked on #16508.
This removes the temporary `codex-core` / `codex-login` re-export shims
from the ownership split and rewrites callsites to import directly from
`codex-model-provider-info`, `codex-models-manager`, `codex-api`,
`codex-protocol`, `codex-feedback`, and `codex-response-debug-context`.
No behavior change intended; this is the mechanical import cleanup layer
split out from the ownership move.
---------
Co-authored-by: Codex <noreply@openai.com>
## Why
`codex-core` was re-exporting APIs owned by sibling `codex-*` crates,
which made downstream crates depend on `codex-core` as a proxy module
instead of the actual owner crate.
Removing those forwards makes crate boundaries explicit and lets leaf
crates drop unnecessary `codex-core` dependencies. In this PR, this
reduces the dependency on `codex-core` to `codex-login` in the following
files:
```
codex-rs/backend-client/Cargo.toml
codex-rs/mcp-server/tests/common/Cargo.toml
```
## What
- Remove `codex-rs/core/src/lib.rs` re-exports for symbols owned by
`codex-login`, `codex-mcp`, `codex-rollout`, `codex-analytics`,
`codex-protocol`, `codex-shell-command`, `codex-sandboxing`,
`codex-tools`, and `codex-utils-path`.
- Delete the `default_client` forwarding shim in `codex-rs/core`.
- Update in-crate and downstream callsites to import directly from the
owning `codex-*` crate.
- Add direct Cargo dependencies where callsites now target the owner
crate, and remove `codex-core` from `codex-rs/backend-client`.
- 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>
## 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>
We are removing feature-gated shared crates from the `codex-rs`
workspace. `codex-common` grouped several unrelated utilities behind
`[features]`, which made dependency boundaries harder to reason about
and worked against the ongoing effort to eliminate feature flags from
workspace crates.
Splitting these utilities into dedicated crates under `utils/` aligns
this area with existing workspace structure and keeps each dependency
explicit at the crate boundary.
## What changed
- Removed `codex-rs/common` (`codex-common`) from workspace members and
workspace dependencies.
- Added six new utility crates under `codex-rs/utils/`:
- `codex-utils-cli`
- `codex-utils-elapsed`
- `codex-utils-sandbox-summary`
- `codex-utils-approval-presets`
- `codex-utils-oss`
- `codex-utils-fuzzy-match`
- Migrated the corresponding modules out of `codex-common` into these
crates (with tests), and added matching `BUILD.bazel` targets.
- Updated direct consumers to use the new crates instead of
`codex-common`:
- `codex-rs/cli`
- `codex-rs/tui`
- `codex-rs/exec`
- `codex-rs/app-server`
- `codex-rs/mcp-server`
- `codex-rs/chatgpt`
- `codex-rs/cloud-tasks`
- Updated workspace lockfile entries to reflect the new dependency graph
and removal of `codex-common`.
So that the rest of the codebase (like TUI) don't need to be concerned
whether ChatGPT auth was handled by Codex itself or passed in via
app-server's external auth mode.
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).
Historically we started with a CodexAuth that knew how to refresh it's
own tokens and then added AuthManager that did a different kind of
refresh (re-reading from disk).
I don't think it makes sense for both `CodexAuth` and `AuthManager` to
be mutable and contain behaviors.
Move all refresh logic into `AuthManager` and keep `CodexAuth` as a data
object.
This PR does various types of cleanup before I can proceed with more
ambitious changes to config loading.
First, I noticed duplicated code across these two methods:
https://github.com/openai/codex/blob/774bd9e432fa2e0f4e059e97648cf92216912e19/codex-rs/core/src/config/mod.rs#L314-L324https://github.com/openai/codex/blob/774bd9e432fa2e0f4e059e97648cf92216912e19/codex-rs/core/src/config/mod.rs#L334-L344
This has now been consolidated in
`load_config_as_toml_with_cli_overrides()`.
Further, I noticed that `Config::load_with_cli_overrides()` took two
similar arguments:
https://github.com/openai/codex/blob/774bd9e432fa2e0f4e059e97648cf92216912e19/codex-rs/core/src/config/mod.rs#L308-L311
The difference between `cli_overrides` and `overrides` was not
immediately obvious to me. At first glance, it appears that one should
be able to be expressed in terms of the other, but it turns out that
some fields of `ConfigOverrides` (such as `cwd` and
`codex_linux_sandbox_exe`) are, by design, not configurable via a
`.toml` file or a command-line `--config` flag.
That said, I discovered that many callers of
`Config::load_with_cli_overrides()` were passing
`ConfigOverrides::default()` for `overrides`, so I created two separate
methods:
- `Config::load_with_cli_overrides(cli_overrides: Vec<(String,
TomlValue)>)`
- `Config::load_with_cli_overrides_and_harness_overrides(cli_overrides:
Vec<(String, TomlValue)>, harness_overrides: ConfigOverrides)`
The latter has a long name, as it is _not_ what should be used in the
common case, so the extra typing is designed to draw attention to this
fact. I tried to update the existing callsites to use the shorter name,
where possible.
Further, in the cases where `ConfigOverrides` is used, usually only a
limited subset of fields are actually set, so I updated the declarations
to leverage `..Default::default()` where possible.
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
## Summary
- Factor `load_config_as_toml` into `core::config_loader` so config
loading is reusable across callers.
- Layer `~/.codex/config.toml`, optional `~/.codex/managed_config.toml`,
and macOS managed preferences (base64) with recursive table merging and
scoped threads per source.
## Config Flow
```
Managed prefs (macOS profile: com.openai.codex/config_toml_base64)
▲
│
~/.codex/managed_config.toml │ (optional file-based override)
▲
│
~/.codex/config.toml (user-defined settings)
```
- The loader searches under the resolved `CODEX_HOME` directory
(defaults to `~/.codex`).
- Managed configs let administrators ship fleet-wide overrides via
device profiles which is useful for enforcing certain settings like
sandbox or approval defaults.
- For nested hash tables: overlays merge recursively. Child tables are
merged key-by-key, while scalar or array values replace the prior layer
entirely. This lets admins add or tweak individual fields without
clobbering unrelated user settings.
Previously, users could supply their API key directly via:
```shell
codex login --api-key KEY
```
but this has the drawback that `KEY` is more likely to end up in shell
history, can be read from `/proc`, etc.
This PR removes support for `--api-key` and replaces it with
`--with-api-key`, which reads the key from stdin, so either of these are
better options:
```
printenv OPENAI_API_KEY | codex login --with-api-key
codex login --with-api-key < my_key.txt
```
Other CLIs, such as `gh auth login --with-token`, follow the same
practice.
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 PR does the following:
* Adds the ability to paste or type an API key.
* Removes the `preferred_auth_method` config option. The last login
method is always persisted in auth.json, so this isn't needed.
* If OPENAI_API_KEY env variable is defined, the value is used to
prepopulate the new UI. The env variable is otherwise ignored by the
CLI.
* Adds a new MCP server entry point "login_api_key" so we can implement
this same API key behavior for the VS Code extension.
<img width="473" height="140" alt="Screenshot 2025-09-04 at 3 51 04 PM"
src="https://github.com/user-attachments/assets/c11bbd5b-8a4d-4d71-90fd-34130460f9d9"
/>
<img width="726" height="254" alt="Screenshot 2025-09-04 at 3 51 32 PM"
src="https://github.com/user-attachments/assets/6cc76b34-309a-4387-acbc-15ee5c756db9"
/>
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.
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
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
There are two valid ways to create an instance of `CodexAuth`:
`from_api_key()` and `from_codex_home()`. Now both are static methods of
`CodexAuth` and are listed first in the implementation.
---
[//]: # (BEGIN SAPLING FOOTER)
Stack created with [Sapling](https://sapling-scm.com). Best reviewed
with [ReviewStack](https://reviewstack.dev/openai/codex/pull/1966).
* #1971
* #1970
* __->__ #1966
* #1965
* #1962
canvrno-oaiandGitHub
Celia ChenandGitHub
cooper-oaiandGitHub
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Shijie RaoandGitHub
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