## 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`
The workspace denies `clippy::expect_used` in production. Although
`clippy.toml` allows `expect` in tests, Bazel Clippy compiles
integration-test helper code in a way that does not receive that
exemption, which encouraged verbose `unwrap_or_else(... panic!(...))`
and equivalent `match`/`let else` forms.
This allows `clippy::expect_used` once at each integration-test crate
root (including aggregated suites and test-support libraries), then
replaces manual panic-based Result and Option unwraps with
`expect`/`expect_err`. Standalone `tests/*.rs` files remain their own
crate roots. Intentional assertion and unexpected-variant panics remain
unchanged, and the production `expect_used = "deny"` lint remains in
place.
The cleanup is mechanical and net-negative in line count.
## 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 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`
## 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 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 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.
## 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.
## Summary
- split `models-manager` out of `core` and add `ModelsManagerConfig`
plus `Config::to_models_manager_config()` so model metadata paths stop
depending on `core::Config`
- move login-owned/auth-owned code out of `core` into `codex-login`,
move model provider config into `codex-model-provider-info`, move API
bridge mapping into `codex-api`, move protocol-owned types/impls into
`codex-protocol`, and move response debug helpers into a dedicated
`response-debug-context` crate
- move feedback tag emission into `codex-feedback`, relocate tests to
the crates that now own the code, and keep broad temporary re-exports so
this PR avoids a giant import-only rewrite
## Major moves and decisions
- created `codex-models-manager` as the owner for model
cache/catalog/config/model info logic, including the new
`ModelsManagerConfig` struct
- created `codex-model-provider-info` as the owner for provider config
parsing/defaults and kept temporary `codex-login`/`codex-core`
re-exports for old import paths
- moved `api_bridge` error mapping + `CoreAuthProvider` into
`codex-api`, while `codex-login::api_bridge` temporarily re-exports
those symbols and keeps the `auth_provider_from_auth` wrapper
- moved `auth_env_telemetry` and `provider_auth` ownership to
`codex-login`
- moved `CodexErr` ownership to `codex-protocol::error`, plus
`StreamOutput`, `bytes_to_string_smart`, and network policy helpers to
protocol-owned modules
- created `codex-response-debug-context` for
`extract_response_debug_context`, `telemetry_transport_error_message`,
and related response-debug plumbing instead of leaving that behavior in
`core`
- moved `FeedbackRequestTags`, `emit_feedback_request_tags`, and
`emit_feedback_request_tags_with_auth_env` to `codex-feedback`
- deferred removal of temporary re-exports and the mechanical import
rewrites to a stacked follow-up PR so this PR stays reviewable
## Test moves
- moved auth refresh coverage from `core/tests/suite/auth_refresh.rs` to
`login/tests/suite/auth_refresh.rs`
- moved text encoding coverage from
`core/tests/suite/text_encoding_fix.rs` to
`protocol/src/exec_output_tests.rs`
- moved model info override coverage from
`core/tests/suite/model_info_overrides.rs` to
`models-manager/src/model_info_overrides_tests.rs`
---------
Co-authored-by: Codex <noreply@openai.com>
Adrian