## Stack
This is PR 2 of the simplified HAI single-run-task stack:
- [#19047](https://github.com/openai/codex/pull/19047) Agent Identity
assertion and task-registration primitives, including the shared
run-task helper used by existing Agent Identity JWT auth.
- [#19049](https://github.com/openai/codex/pull/19049)
Disabled-by-default ChatGPT auth opt-in that provisions/reuses persisted
Agent Identity runtime auth and its single run task.
- [#19051](https://github.com/openai/codex/pull/19051) Run-scoped
provider auth that uses one backend-owned task id for first-party
inference and compaction requests.
[#19054](https://github.com/openai/codex/pull/19054) collapsed out of
the active stack because the simplified design no longer needs a
separate background/control-plane task helper.
## Summary
This PR adds the disabled-by-default path for normal ChatGPT-login Codex
sessions to obtain Agent Identity runtime auth through the Codex
backend. Existing Agent Identity JWT startup mode remains a separate
path and does not require the feature flag.
What changed:
- adds the experimental `use_agent_identity` feature flag and config
schema entry
- adds an explicit `AgentIdentityAuthPolicy` so call sites choose
`JwtOnly` or `ChatGptAuth` instead of passing a bare boolean
- stores standalone Agent Identity JWT credentials separately from
backend-registered Agent Identity records
- persists the registered Agent Identity record, private key, and single
run task id in `auth.json` so process restarts reuse the same identity
- derives the agent/task registration base URL from ChatGPT/Codex auth
config while keeping JWT JWKS lookup separate
- provisions and caches ChatGPT-derived Agent Identity runtime auth when
`use_agent_identity` is enabled
- reuses the shared run-task registration helper from PR1 rather than
adding a second task-registration path
This PR intentionally does not switch model inference over to
`AgentAssertion` auth. The provider-auth integration lands in the next
PR.
## Testing
- `just test -p codex-login`
## Stack
This is PR 1 of the simplified HAI single-run-task stack:
- [#19047](https://github.com/openai/codex/pull/19047) Agent Identity
assertion and task-registration primitives, including the shared
run-task helper used by existing Agent Identity JWT auth.
- [#19049](https://github.com/openai/codex/pull/19049)
Disabled-by-default ChatGPT auth opt-in that provisions/reuses persisted
Agent Identity runtime auth and its single run task.
- [#19051](https://github.com/openai/codex/pull/19051) Run-scoped
provider auth that uses one backend-owned task id for first-party
inference and compaction requests.
[#19054](https://github.com/openai/codex/pull/19054) collapsed out of
the active stack because the simplified design no longer needs a
separate background/control-plane task helper.
## Summary
The simplified POC shape is one backend-owned task per Agent Identity
run. This PR makes the first layer match that final shape directly
instead of introducing task targets, caller-owned external task refs, or
intermediate wrappers that later PRs would need to undo.
What changed:
- keeps the `AgentAssertion` wire payload as `agent_runtime_id`,
`task_id`, `timestamp`, and `signature`
- exposes `register_agent_task` as the single task-registration helper
for both existing Agent Identity JWT auth and the ChatGPT-registration
path added later in the stack
- makes task registration send only the signed registration timestamp;
the backend owns the returned opaque task id
- removes the unused target/task-kind/external-task-ref surfaces from
`codex-agent-identity`
- keeps Agent Identity JWT JWKS lookup separate from agent/task
registration URL derivation
- updates Agent Identity JWT auth to register one run task during auth
construction and share that task across cloned auth handles
This PR intentionally does not enable ChatGPT-derived Agent Identity.
That opt-in and config gate are added in the next PR.
## Testing
- `just test -p codex-agent-identity`
## Context
Some plugins expose both Apps and MCP servers. This PR moves auth-aware
surface projection into `core-plugins::PluginsManager`, so callers get a
consistent effective plugin view. Later PRs narrow the conflict rule and
update listing/install paths.
The high level goal of this PR is to set up the plumbing to
conditionally filter App/MCP in the plugin manager layer. We start by
removing MCP servers when using SIWC/Codex-backend auth, and removing
Apps when using API-key-style auth.
This PR is now stacked on #27652, which contains only the constructor
plumbing for seeding `PluginsManager` with the current auth mode.
## Stack
- PR1: #27652 seed plugin manager auth at construction.
- PR2: #27459 route plugin surfaces by auth mode.
- PR3: #27607 dedupe plugin MCP servers by App declaration name.
- PR4: #27602 preserve plugin Apps in connector listings.
- PR5: #27461 skip install-time plugin MCP OAuth for matching App
routes.
## Summary
- API-key/non-ChatGPT routes hide plugin Apps and keep plugin MCPs.
- ChatGPT/SIWC with Apps enabled keeps plugin Apps and suppresses MCPs
for dual-surface plugins.
- MCP-only plugins stay available for ChatGPT/SIWC sessions.
- Cached plugin load outcomes are re-projected when auth mode changes.
## Validation
```bash
cargo test -p codex-core-plugins plugin_auth_projection
cargo test -p codex-core list_tool_suggest_discoverable_plugins
git diff --check
```
## 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
- serialize the remaining login tests that mutate or read the
process-global auth environment
- include Bedrock auth-manager tests in the existing `codex_auth_env`
serial group
## Root cause
The login unit-test binary runs tests concurrently. One test removed
`CODEX_ACCESS_TOKEN` without joining the existing serial group, while
several Bedrock tests constructed `AuthManager` and read that same
process-global environment outside the group. An interleaving could
restore a stale personal access token while another test was loading
file-backed auth, causing the observed mismatched `/whoami` request
count and related auth-state flakes.
## Verification
- `just fmt`
- `git diff --check`
- `bazel test //codex-rs/login:login-unit-tests --nocache_test_results
--runs_per_test=20 --test_output=errors` (20/20 passed)
- `just test -p codex-login` (135/135 passed)
## Why
First-party async traits should expose their `Send` contracts explicitly
without requiring `async_trait`. This completes the migration pattern
established in #27303 and #27304.
## What changed
- Replaced the remaining first-party `async_trait` traits with native
return-position `impl Future + Send` where statically dispatched and
explicit boxed `Send` futures where object safety is required.
- Kept implementations behavior-preserving, outlining existing async
bodies into inherent methods where that keeps the diff reviewable.
- Removed all direct first-party `async-trait` dependencies and the
workspace dependency declaration.
- Added a cargo-deny policy that permits `async-trait` only through the
remaining transitive wrapper crates.
- Updated `rand` from 0.8.5 to 0.8.6 to resolve RUSTSEC-2026-0097 and
keep the full cargo-deny check passing.
## Validation
- `just test -p codex-exec-server`: 216 passed, 2 skipped.
- `just test -p codex-model-provider`: 39 passed.
- `just test -p codex-core` and `just test`: changed tests passed;
remaining failures are environment-sensitive suites unrelated to this
migration.
- `cargo deny check`
- `just fix`
- `just fmt`
- `cargo shear`
- `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
- refresh managed ChatGPT auth during auth resolution when its access
token is inside ChatGPT web's five-minute near-expiry window
- cover refresh-window decisions while preserving the existing
expired-token refresh path
## Why
Codex already resolves managed ChatGPT auth before outbound requests and
refreshes expired access tokens there. This change adjusts the existing
predicate to refresh a still-valid access token once it is within the
same five-minute refresh window used by ChatGPT web, avoiding a request
with a token about to expire.
A cross-process serialization follow-up was explored in #24663 and
closed for now; we do not currently suspect cross-process refresh races
are a root cause of the refresh errors under investigation.
External-token, API-key, and Agent Identity auth modes remain unchanged.
## Validation
- `bazel test //codex-rs/login:login-all-test`
- `just fmt` runs Rust formatting successfully, then its Python SDK Ruff
step cannot install `openai-codex-cli-bin==0.131.0a4` on this Linux
environment because no compatible wheel is published.
## Summary
- classify known refresh-token terminal failures from `/oauth/token` as
permanent even when the backend returns `400`
- preserve the existing relogin-required message for
`refresh_token_reused` instead of retrying and collapsing into a generic
cloud requirements error
- add regression coverage for `400 refresh_token_reused`
## Testing
- `just fmt`
- `cargo test -p codex-login`
## Why
When remote control hits an auth failure such as a revoked or reused
refresh token, the websocket loop falls into reconnect backoff. If the
user fixes auth while that loop is sleeping, remote control can stay
offline until the old retry timer expires because nothing wakes the loop
or resets its exhausted auth recovery state.
## What Changed
Added an auth-change watch on `AuthManager` for refresh-relevant cached
auth updates.
The remote-control websocket loop now subscribes to that signal, resets
`UnauthorizedRecovery` and reconnect backoff when auth changes, and
retries immediately instead of waiting for the previous delay.
Updated the remote-control transport test to verify that reloading auth
with the now-available account id wakes enrollment before the prior
retry delay.
## Verification
`cargo test -p codex-app-server-transport
remote_control_waits_for_account_id_before_enrolling`
## 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`
## Summary
- revoke previously stored managed ChatGPT tokens after a successful
re-login
- keep the new login successful even when revocation is unavailable or
fails
- cover the shared persistence path used by browser and device-code
login flows
## Why
A new `codex login` currently overwrites existing managed ChatGPT
credentials without attempting to revoke the superseded tokens, leaving
old credentials valid longer than necessary.
## Validation
- `just fmt`
- `CARGO_HOME=/tmp/cargo-home cargo test -p codex-login`
## Notes
- Initial local Cargo validation hit a corrupt existing crate cache in
the default `CARGO_HOME`; rerunning with a clean temporary `CARGO_HOME`
passed.
---------
Co-authored-by: Codex <noreply@openai.com>
## 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
update the local login success page to match the Codex desktop auth UX
use theme-aware colors and an inline 20px Codex mark
keep the actual localhost success page aligned with the browser auth UX
PR
## Tests
<img width="1728" height="1117" alt="Screenshot 2026-04-29 at 12 00
34 PM"
src="https://github.com/user-attachments/assets/76a40c3f-07c3-452c-97da-e7c43717cd2c"
/>
## Summary
- Keep the preferred ChatGPT login callback port `1455` first.
- Preserve the existing `/cancel` recovery for stale Codex login
servers.
- Fall back to the registered localhost callback port `1457` when `1455`
remains unavailable.
## Why
Cursor and Codex Desktop both use the ChatGPT account login callback
server. On Windows, Cursor can already be listening on `127.0.0.1:1455`
/ `[::1]:1455`, causing Codex Desktop sign-in to fail with:
`Local callback port 1455 is already in use on this machine.`
Codex already attempted to cancel a stale Codex login server on that
port, but if the listener does not release the port, the old behavior
was to fail. The new behavior falls back to `1457`, which matches the
fixed redirect URI being registered server-side in
`openai/openai#863817`. This keeps the OAuth `redirect_uri` inside
Hydra's exact allow-list instead of choosing an arbitrary ephemeral
port.
## Validation
- `just fmt`
- `cargo test -p codex-login`
- `git diff --check HEAD~1..HEAD`
## Why
Agent Identity sessions can represent Business and Enterprise ChatGPT
workspaces, but cloud requirements were skipped before fetch. That meant
workspace-managed requirements were not loaded for Agent Identity even
when the JWT carried the same account identity and plan information that
normal ChatGPT token auth exposes.
This PR now sits on top of the Agent Identity stack through
[#19764](https://github.com/openai/codex/pull/19764). Because
[#19763](https://github.com/openai/codex/pull/19763) moved task
registration into Agent Identity auth loading, cloud requirements no
longer needs a separate runtime-initialization step before building the
backend client.
## What changed
- Stop skipping `CodexAuth::AgentIdentity` in the cloud requirements
loader.
- Share the cloud requirements eligibility check between startup load
and background cache refresh.
- Rely on eagerly loaded Agent Identity auth so backend requests can
attach task-scoped `AgentAssertion` headers.
- Decode Agent Identity JWT `plan_type` as the auth-layer plan type,
then convert it through a shared `auth::PlanType` -> `account::PlanType`
mapping.
- Add the missing serde alias for the `education` plan string and add
coverage for raw Agent Identity plan aliases such as `hc` and
`education`.
## Testing
- `cargo test -p codex-agent-identity -p codex-login -p
codex-cloud-requirements -p codex-protocol`
## Summary
AgentIdentity runtime loading currently registers tasks against a single
hardcoded AuthAPI base URL. That works for production, but local and
staging validation may need registration to target a different
authapi-login-provider without baking internal staging service URLs into
the OSS binary.
This PR adds a small config surface for
`agent_identity_authapi_base_url` and threads it through the existing
auth-loading path as a direct argument. Explicit config wins. Without
config, task registration keeps using the production AuthAPI URL,
matching the current default behavior.
## Stack
1. openai/codex#19762 - `refactor: make auth loading async` (merged)
2. openai/codex#19763 - `refactor: load agent identity runtime eagerly`
3. This PR - `fix: configure AgentIdentity AuthAPI base URL`
4. openai/codex#19764 - `feat: verify agent identity JWTs with JWKS`
## Design decisions
- Keep the existing auth-loading shape and pass the new value as an
argument. This avoids another wrapper loader and keeps the call path
readable.
- Add config instead of embedding internal staging URLs. Environments
that need a non-production AuthAPI can configure it explicitly.
- Keep the default AuthAPI registration URL as production.
`chatgpt_base_url` remains separate and is used by the follow-up JWKS
verification PR for fetching public keys from the ChatGPT backend route.
- Resolve the AuthAPI base URL inside AgentIdentity loading, because
task registration is the only consumer of this value.
## Testing
Tests: targeted Rust checks, AgentIdentity auth tests, config schema
regeneration, formatter/fix pass, and whitespace diff check.
## Summary
Adds the standard Codex `User-Agent` to shared default headers so the
responses-api WS handshake carries the same client OS and version
context as HTTP requests.
## Testing
- `cargo test -p codex-core
build_ws_client_metadata_includes_window_lineage_and_turn_metadata`
- `cargo test -p codex-core --test all responses_websocket`
## Summary
AgentIdentity auth previously registered the process task lazily behind
a `OnceCell`. That meant the auth object could be constructed before its
runtime task binding was known.
This PR makes AgentIdentity auth load the runtime task at auth load time
and stores the resulting process task id directly on the auth object.
The model-provider call path can then read a concrete task id instead of
handling a missing lazy value.
## Stack
1. [refactor: make auth loading
async](https://github.com/openai/codex/pull/19762) (merged)
2. **This PR:** [refactor: load AgentIdentity runtime
eagerly](https://github.com/openai/codex/pull/19763)
3. [fix: configure AgentIdentity AuthAPI base
URL](https://github.com/openai/codex/pull/19904)
4. [feat: verify AgentIdentity JWTs with
JWKS](https://github.com/openai/codex/pull/19764)
## Important call sites
| Area | Change |
| --- | --- |
| `AgentIdentityAuth::load` | Registers the process task during auth
loading and stores `process_task_id`. |
| `CodexAuth::from_agent_identity_jwt` | Awaits AgentIdentity auth
loading. |
| model-provider auth | Reads a concrete `process_task_id` instead of an
optional lazy value. |
| AgentIdentity auth tests | Mock task registration now covers eager
runtime allocation. |
## Design decisions
AgentIdentity auth now treats task registration as part of constructing
a usable auth object. That matches how callers use the value: once auth
is present, the model-provider path expects the task-scoped assertion
data to be ready.
## Testing
Tests: targeted Rust auth test compilation, formatter, scoped Clippy
fix, and Bazel lock check.
## 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
- Adds a process-local, in-memory cookie store for ChatGPT HTTP clients.
- Limits cookie storage and replay to a shared ChatGPT host allowlist.
- Wires the shared store into the default Codex reqwest client and
backend client.
- Shares the ChatGPT host allowlist with remote-control URL validation
to avoid drift.
- Enables reqwest cookie support and updates lockfiles.
## Summary
This PR fully reverts the previously merged Agent Identity runtime
integration from the old stack:
https://github.com/openai/codex/pull/17387/changes
It removes the Codex-side task lifecycle wiring, rollout/session
persistence, feature flag plumbing, lazy `auth.json` mutation,
background task auth paths, and request callsite changes introduced by
that stack.
This leaves the repo in a clean pre-AgentIdentity integration state so
the follow-up PRs can reintroduce the pieces in smaller reviewable
layers.
## Stack
1. This PR: full revert
2. https://github.com/openai/codex/pull/18871: move Agent Identity
business logic into a crate
3. https://github.com/openai/codex/pull/18785: add explicit
AgentIdentity auth mode and startup task allocation
4. https://github.com/openai/codex/pull/18811: migrate auth callsites
through AuthProvider
## Testing
Tests: targeted Rust checks, cargo-shear, Bazel lock check, and CI.
## Why
This PR prepares the stack to enable Clippy await-holding lints that
were left disabled in #18178. The mechanical lock-scope cleanup is
handled separately; this PR is the documentation/configuration layer for
the remaining await-across-guard sites.
Without explicit annotations, reviewers and future maintainers cannot
tell whether an await-holding warning is a real concurrency smell or an
intentional serialization boundary.
## What changed
- Configures `clippy.toml` so `await_holding_invalid_type` also covers
`tokio::sync::{MutexGuard,RwLockReadGuard,RwLockWriteGuard}`.
- Adds targeted `#[expect(clippy::await_holding_invalid_type, reason =
...)]` annotations for intentional async guard lifetimes.
- Documents the main categories of intentional cases: active-turn state
transitions that must remain atomic, session-owned MCP manager accesses,
remote-control websocket serialization, JS REPL kernel/process
serialization, OAuth persistence, external bearer token refresh
serialization, and tests that intentionally serialize shared global or
session-owned state.
- For external bearer token refresh, documents the existing
serialization boundary: holding `cached_token` across the provider
command prevents concurrent cache misses from starting duplicate refresh
commands, and the current behavior is small enough that an explicit
expectation is easier to maintain than adding another synchronization
primitive.
## Verification
- `cargo clippy -p codex-login --all-targets`
- `cargo clippy -p codex-connectors --all-targets`
- `cargo clippy -p codex-core --all-targets`
- The follow-up PR #18698 enables `await_holding_invalid_type` and
`await_holding_lock` as workspace `deny` lints, so any undocumented
remaining offender will fail Clippy.
---
[//]: # (BEGIN SAPLING FOOTER)
Stack created with [Sapling](https://sapling-scm.com). Best reviewed
with [ReviewStack](https://reviewstack.dev/openai/codex/pull/18423).
* #18698
* __->__ #18423
## Why
Codex needs a first-class `amazon-bedrock` model provider so users can
select Bedrock without copying a full provider definition into
`config.toml`. The provider has Codex-owned defaults for the pieces that
should stay consistent across users: the display `name`, Bedrock
`base_url`, and `wire_api`.
At the same time, users still need a way to choose the AWS credential
profile used by their local environment. This change makes
`amazon-bedrock` a partially modifiable built-in provider: code owns the
provider identity and endpoint defaults, while user config can set
`model_providers.amazon-bedrock.aws.profile`.
For example:
```toml
model_provider = "amazon-bedrock"
[model_providers.amazon-bedrock.aws]
profile = "codex-bedrock"
```
## What Changed
- Added `amazon-bedrock` to the built-in model provider map with:
- `name = "Amazon Bedrock"`
- `base_url = "https://bedrock-mantle.us-east-1.api.aws/v1"`
- `wire_api = "responses"`
- Added AWS provider auth config with a profile-only shape:
`model_providers.<id>.aws.profile`.
- Kept AWS auth config restricted to `amazon-bedrock`; custom providers
that set `aws` are rejected.
- Allowed `model_providers.amazon-bedrock` through reserved-provider
validation so it can act as a partial override.
- During config loading, only `aws.profile` is copied from the
user-provided `amazon-bedrock` entry onto the built-in provider. Other
Bedrock provider fields remain hard-coded by the built-in definition.
- Updated the generated config schema for the new provider AWS profile
config.
This is the second cleanup in the await-holding lint stack. The
higher-level goal, following https://github.com/openai/codex/pull/18178
and https://github.com/openai/codex/pull/18398, is to enable Clippy
coverage for guards held across `.await` points without carrying broad
suppressions.
The stack is working toward enabling Clippy's
[`await_holding_lock`](https://rust-lang.github.io/rust-clippy/master/index.html#await_holding_lock)
lint and the configurable
[`await_holding_invalid_type`](https://rust-lang.github.io/rust-clippy/master/index.html#await_holding_invalid_type)
lint for Tokio guard types.
Several existing fields used `tokio::sync::Mutex<()>` only as
one-at-a-time async gates. Those guards intentionally lived across
`.await` while an operation was serialized. A mutex over `()` suggests
protected data and trips the await-holding lint shape; a single-permit
`tokio::sync::Semaphore` expresses the intended serialization directly.
## What changed
- Replace `Mutex<()>` serialization gates with `Semaphore::new(1)` for
agent identity ensure, exec policy updates, guardian review session
reuse, plugin remote sync, managed network proxy refresh, auth token
refresh, and RMCP session recovery.
- Update call sites from `lock().await` / `try_lock()` to
`acquire().await` / `try_acquire()`.
- Map closed-semaphore errors into the existing local error types, even
though these semaphores are owned for the lifetime of their managers.
- Update session test builders for the new
`managed_network_proxy_refresh_lock` type.
## Verification
- The split stack was verified at the final lint-enabling head with
`just clippy`.
---
[//]: # (BEGIN SAPLING FOOTER)
Stack created with [Sapling](https://sapling-scm.com). Best reviewed
with [ReviewStack](https://reviewstack.dev/openai/codex/pull/18403).
* #18698
* #18423
* #18418
* __->__ #18403
## Summary
Introduces a single background/control-plane agent task for ChatGPT
backend requests that do not have a thread-scoped task, with
`AuthManager` owning the default ChatGPT backend authorization decision.
Callers now ask `AuthManager` for the default ChatGPT backend
authorization header. `AuthManager` decides whether that is bearer or
background AgentAssertion based on config/internal state, while
low-level bootstrap paths can explicitly request bearer-only auth.
This PR is stacked on PR4 and focuses on the shared background task auth
plumbing plus the first tranche of backend/control-plane consumers. The
remaining callsite wiring is split into PR4.2 to keep review size down.
## Stack
- PR1: https://github.com/openai/codex/pull/17385 - add
`features.use_agent_identity`
- PR2: https://github.com/openai/codex/pull/17386 - register agent
identities when enabled
- PR3: https://github.com/openai/codex/pull/17387 - register agent tasks
when enabled
- PR3.1: https://github.com/openai/codex/pull/17978 - persist and
prewarm registered tasks per thread
- PR4: https://github.com/openai/codex/pull/17980 - use task-scoped
`AgentAssertion` for downstream calls
- PR4.1: this PR - introduce AuthManager-owned background/control-plane
`AgentAssertion` auth
- PR4.2: https://github.com/openai/codex/pull/18260 - use background
task auth for additional backend/control-plane calls
## What Changed
- add background task registration and assertion minting inside
`codex-login`
- persist `agent_identity.background_task_id` separately from
per-session task state
- make `BackgroundAgentTaskManager` private to `codex-login`; call sites
do not instantiate or pass it around
- teach `AuthManager` the ChatGPT backend base URL and feature-derived
background auth mode from resolved config
- expose bearer-only helpers for bootstrap/registration/refresh-style
paths that must not use AgentAssertion
- wire `AuthManager` default ChatGPT authorization through app listing,
connector directory listing, remote plugins, MCP status/listing,
analytics, and core-skills remote calls
- preserve bearer fallback when the feature is disabled, the backend
host is unsupported, or background task registration is not available
## Validation
- `just fmt`
- `cargo check -p codex-core -p codex-login -p codex-analytics -p
codex-app-server -p codex-cloud-requirements -p codex-cloud-tasks -p
codex-models-manager -p codex-chatgpt -p codex-model-provider -p
codex-mcp -p codex-core-skills`
- `cargo test -p codex-login agent_identity`
- `cargo test -p codex-model-provider bearer_auth_provider`
- `cargo test -p codex-core agent_assertion`
- `cargo test -p codex-app-server remote_control`
- `cargo test -p codex-cloud-requirements fetch_cloud_requirements`
- `cargo test -p codex-models-manager manager::tests`
- `cargo test -p codex-chatgpt`
- `cargo test -p codex-cloud-tasks`
- `just fix -p codex-core -p codex-login -p codex-analytics -p
codex-app-server -p codex-cloud-requirements -p codex-cloud-tasks -p
codex-models-manager -p codex-chatgpt -p codex-model-provider -p
codex-mcp -p codex-core-skills`
- `just fix -p codex-app-server`
- `git diff --check`
## Summary
This is the AgentAssertion downstream slice for feature-gated agent
identity support, replacing the oversized AgentAssertion slice from PR
#17807.
It isolates task-scoped downstream AgentAssertion wiring on top of the
merged PR3.1 work without re-carrying the earlier agent registration,
task registration, or task-state history.
This PR includes the task-scoped bug-fix call sites from the review:
generic file upload auth, MCP OpenAI file upload auth, and ARC monitor
auth. Broader user/control-plane calls move to PR4.1 and PR4.2.
## Stack
- PR1: https://github.com/openai/codex/pull/17385 - add
`features.use_agent_identity`
- PR2: https://github.com/openai/codex/pull/17386 - register agent
identities when enabled
- PR3: https://github.com/openai/codex/pull/17387 - register agent tasks
when enabled
- PR3.1: https://github.com/openai/codex/pull/17978 - persist and
prewarm registered tasks per thread
- PR4: this PR - use task-scoped `AgentAssertion` downstream when
enabled
- PR4.1: https://github.com/openai/codex/pull/18094 - introduce
AuthManager-owned background/control-plane `AgentAssertion` auth
- PR4.2: https://github.com/openai/codex/pull/18260 - use background
task auth for additional backend/control-plane calls
## What Changed
- add AgentAssertion envelope generation in `codex-core`
- route downstream HTTP and websocket auth through AgentAssertion when
an agent task is present
- extend the model-provider auth provider so non-bearer authorization
schemes can be passed through cleanly
- make generic file uploads attach the full authorization header value
- make MCP OpenAI file uploads use the cached thread agent task
assertion when present
- make ARC monitor calls use the cached thread agent task assertion when
present
## Why
The original PR had drifted ancestry and showed a much larger diff than
the semantic change actually required. Restacking it onto PR3.1 keeps
the reviewable surface down to the downstream assertion slice.
## Validation
- `just fmt`
- `cargo check -p codex-core -p codex-login -p codex-analytics -p
codex-app-server -p codex-cloud-requirements -p codex-cloud-tasks -p
codex-models-manager -p codex-chatgpt -p codex-model-provider -p
codex-mcp -p codex-core-skills`
- `cargo test -p codex-model-provider bearer_auth_provider`
- `cargo test -p codex-core agent_assertion`
- `cargo test -p codex-app-server remote_control`
- `cargo test -p codex-cloud-requirements fetch_cloud_requirements`
- `cargo test -p codex-models-manager manager::tests`
- `cargo test -p codex-chatgpt`
- `cargo test -p codex-cloud-tasks`
- `cargo test -p codex-login agent_identity`
- `just fix -p codex-core -p codex-login -p codex-analytics -p
codex-app-server -p codex-cloud-requirements -p codex-cloud-tasks -p
codex-models-manager -p codex-chatgpt -p codex-model-provider -p
codex-mcp -p codex-core-skills`
- `just fix -p codex-app-server`
- `git diff --check`
## 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>
## Summary
- Add `codex-model-provider` as the runtime home for model-provider
behavior that does not belong in `codex-core`, `codex-login`, or
`codex-api`.
- The new crate wraps configured `ModelProviderInfo` in a
`ModelProvider` trait object that can resolve the API provider config,
provider-scoped auth manager, and request auth provider for each call.
- This centralizes provider auth behavior in one place today, and gives
us an extension point for future provider-specific auth, model listing,
request setup, and related runtime behavior.
## Tests
Ran tests manually to make sure that provider auth under different
configs still work as expected.
---------
Co-authored-by: pakrym-oai <pakrym@openai.com>
## Summary
- parse chatgpt_account_is_fedramp from signed ChatGPT auth metadata
- add _account_is_fedramp=true to ChatGPT backend-api requests only for
FedRAMP ChatGPT-auth accounts
## Summary
Stack PR 2 of 4 for feature-gated agent identity support.
This PR adds agent identity registration behind
`features.use_agent_identity`. It keeps the app-server protocol
unchanged and starts registration after ChatGPT auth exists rather than
requiring a client restart.
## Stack
- PR1: https://github.com/openai/codex/pull/17385 - add
`features.use_agent_identity`
- PR2: https://github.com/openai/codex/pull/17386 - this PR
- PR3: https://github.com/openai/codex/pull/17387 - register agent tasks
when enabled
- PR4: https://github.com/openai/codex/pull/17388 - use `AgentAssertion`
downstream when enabled
## Validation
Covered as part of the local stack validation pass:
- `just fmt`
- `cargo test -p codex-core --lib agent_identity`
- `cargo test -p codex-core --lib agent_assertion`
- `cargo test -p codex-core --lib websocket_agent_task`
- `cargo test -p codex-api api_bridge`
- `cargo build -p codex-cli --bin codex`
## Notes
The full local app-server E2E path is still being debugged after PR
creation. The current branch stack is directionally ready for review
while that follow-up continues.
Addresses #17353
Problem: Codex rate-limit fetching failed when the backend returned the
new `prolite` subscription plan type.
Solution: Add `prolite` to the backend/account/auth plan mappings, keep
unknown WHAM plan values decodable, and regenerate app-server plan
schemas.
## Summary
- Replace the manual `/notify-owner` flow with an inline confirmation
prompt when a usage-based workspace member hits a credits-depleted
limit.
- Fetch the current workspace role from the live ChatGPT
`accounts/check/v4-2023-04-27` endpoint so owner/member behavior matches
the desktop and web clients.
- Keep owner, member, and spend-cap messaging distinct so we only offer
the owner nudge when the workspace is actually out of credits.
## What Changed
- `backend-client`
- Added a typed fetch for the current account role from
`accounts/check`.
- Mapped backend role values into a Rust workspace-role enum.
- `app-server` and protocol
- Added `workspaceRole` to `account/read` and `account/updated`.
- Derived `isWorkspaceOwner` from the live role, with a fallback to the
cached token claim when the role fetch is unavailable.
- `tui`
- Removed the explicit `/notify-owner` slash command.
- When a member is blocked because the workspace is out of credits, the
error now prompts:
- `Your workspace is out of credits. Request more from your workspace
owner? [y/N]`
- Choosing `y` sends the existing owner-notification request.
- Choosing `n`, pressing `Esc`, or accepting the default selection
dismisses the prompt without sending anything.
- Selection popups now honor explicit item shortcuts, which is how the
`y` / `n` interaction is wired.
## Reviewer Notes
- The main behavior change is scoped to usage-based workspace members
whose workspace credits are depleted.
- Spend-cap reached should not show the owner-notification prompt.
- Owners and admins should continue to see `/usage` guidance instead of
the member prompt.
- The live role fetch is best-effort; if it fails, we fall back to the
existing token-derived ownership signal.
## Testing
- Manual verification
- Workspace owner does not see the member prompt.
- Workspace member with depleted credits sees the confirmation prompt
and can send the nudge with `y`.
- Workspace member with spend cap reached does not see the
owner-notification prompt.
### Workspace member out of usage
https://github.com/user-attachments/assets/341ac396-eff4-4a7f-bf0c-60660becbea1
### Workspace owner
<img width="1728" height="1086" alt="Screenshot 2026-04-09 at 11 48
22 AM"
src="https://github.com/user-attachments/assets/06262a45-e3fc-4cc4-8326-1cbedad46ed6"
/>
## Summary
- reduce public module visibility across Rust crates, preferring private
or crate-private modules with explicit crate-root public exports
- update external call sites and tests to use the intended public crate
APIs instead of reaching through module trees
- add the module visibility guideline to AGENTS.md
## Validation
- `cargo check --workspace --all-targets --message-format=short` passed
before the final fix/format pass
- `just fix` completed successfully
- `just fmt` completed successfully
- `git diff --check` passed
Extract a shared helper that builds AuthManager from Config and applies
the forced ChatGPT workspace override in one place.
Create the shared AuthManager at MessageProcessor call sites so that
upcoming new transport's initialization can reuse the same handle, and
keep only external auth refresher wiring inside `MessageProcessor`.
Remove the now-unused `AuthManager::shared_with_external_auth` helper.
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>
Adrian