## Why
Custom model providers that do not require OpenAI authentication could inherit
ambient authentication headers, including the bearer token and
`ChatGPT-Account-ID`, and send them to the custom provider endpoint.
## What changed
- Resolve providers without `requires_openai_auth` or configured `auth` as
unauthenticated.
- Continue to honor an explicit `experimental_bearer_token` or command-resolved
provider authentication.
- Preserve ambient authentication for OpenAI providers.
## Testing
Added unit and request-level coverage for custom, explicitly authenticated, and
OpenAI provider authentication behavior.
GitOrigin-RevId: d89a79604338bc660a3edb2af0068cfa9b694fa2
## Why
Remote exec-server registry requests need to refresh managed credentials before sending a request. Static auth-header resolution cannot perform the asynchronous token exchange required by workload identity.
## What changed
- Add asynchronous auth-header resolution to `AuthProvider`, with the existing static-header behavior as the default.
- Resolve fresh managed credentials for each remote environment registry request while preserving the expected account and workspace identity.
- Load the cloud configuration bundle during remote exec-server startup when workload identity is selected.
## Testing
- Update the managed-auth and environment-registry auth tests to exercise asynchronous header resolution.
GitOrigin-RevId: 5d60f1127467aaacdb5d1a8f3d92278bc4bf2e29
## What changed
- Wrap `CodexErrorDetails` and an optional retry delay in `CodexErr`, allowing any mapped error to preserve server-provided retry timing.
- Generate the payload-free `CodexErrKind` classification alongside the error details and reuse it for analytics.
- Update error handling sites to inspect `CodexErr::details()` while preserving existing display, debug, protocol mapping, and retryability behavior.
## Testing
- Add coverage for legacy debug formatting, error-specific retryability, and retry-delay propagation through API error mapping.
GitOrigin-RevId: d3ab8a305f2a2ee21d0c0a8c8c388b06dda9c59a
## Why
ChatGPT token refresh requests need to follow the same configured routing policy as other authentication traffic, including environments that use the system proxy.
## What changed
- Require an `AuthRouteConfig` throughout login, logout, token refresh, personal access token, and agent identity flows.
- Build auth HTTP clients directly from that configuration instead of falling back to a default HTTP client when routing configuration is absent.
## Testing
- Add an integration test that refreshes a token through a cached system-proxy route and verifies the proxy receives the expected request.
GitOrigin-RevId: 7d54ab3219939a49921c51faf08cd4c2eabca51c
## Why
Auth managers should use the application's resolved HTTP client factory instead
of silently falling back to the transport's default proxy behavior.
## What changed
- Make `AuthRouteConfig` required when constructing an `AuthManager` or
`AuthConfig`.
- Pass each production caller's resolved routing configuration through without
wrapping it in an optional value.
- Add a test helper that explicitly selects the transport-default proxy policy
for callers that do not exercise custom routing.
GitOrigin-RevId: d89a3b1f8b5d4007650cdac0aae241c94d598580
[Codex Thread
019f2408-dc59-79f2-b245-4c11debd1a61](https://codex-thread-link.openai.chatgpt-team.site/thread/019f2408-dc59-79f2-b245-4c11debd1a61)
## Why
Long-lived Codex sessions can outlive the ChatGPT bearer token that was
present when the MCP runtime started.
The Responses path already recovers from token expiration by refreshing
or reloading the shared `AuthManager`. The reserved `codex_apps`
hosted-plugin client did not observe that update: `McpConnectionManager`
built its `/ps/mcp` HTTP auth once from a `CodexAuth` snapshot, and
`auth_provider_from_auth` copied that snapshot bearer into a static
`BearerAuthProvider`.
After the copied bearer expired, `/ps/mcp` kept sending it even though
Responses had a newer token in the same `AuthManager`. The failure
occurred before downstream connector execution, so unrelated apps such
as Gmail, Slack, and Google Calendar could all fail with the same
transport-level `401 token_expired`.
This replaces
[openai/codex#29474](https://github.com/openai/codex/pull/29474), which
was closed for inactivity without being merged. A new long-lived-session
report reproduced the same simultaneous `/ps/mcp` expiry pattern across
unrelated apps.
## What changed
- Add an `AuthManager`-backed request-header provider in
`codex-model-provider`. It keeps an `Arc<AuthManager>` and reads
`auth_cached()` for each outbound request, so the next `/ps/mcp` call
sees a token refreshed by the existing Responses/auth-recovery flow.
- Scope that provider to the startup account, ChatGPT user, and
workspace identity. Same-identity token reloads are followed; an account
switch emits no ambient auth until account-scoped MCP state is rebuilt.
- Have `McpConnectionManager` construct the dynamic provider only for
the reserved `codex_apps` registration used by the hosted-plugin
`/ps/mcp` path.
| MCP path | Auth behavior after this change |
| --- | --- |
| Reserved `codex_apps` hosted-plugin `/ps/mcp` | Read current
same-identity auth from the shared `AuthManager` per request |
| `codex_apps` with `CODEX_CONNECTORS_TOKEN` | Keep the environment
bearer-token override |
| User-configured/direct MCP registrations | Keep their existing
configured auth path |
## Non-goals
- No plugin-service changes.
- No downstream Slack, Gmail, Calendar, or other connector
OAuth/link-refresh changes.
- No auth UI changes.
- No behavior change for user-configured/direct MCP registrations.
- No new `/ps/mcp`-initiated token refresh; this makes `/ps/mcp` observe
refreshes already performed through the shared `AuthManager`.
## Tests
- `just test -p codex-model-provider`
- Covers same-identity token reloads and refuses a changed startup
identity.
- `just test -p codex-mcp`
- `just test -p codex-core mcp_auth_refresh`
- Creates the reserved hosted-plugin `codex_apps` `/ps/mcp` client
before the shared `AuthManager` changes, updates that same manager
through its public external-auth path, performs a real `tools/call`, and
asserts the request uses the current bearer.
## Stack
This is PR 3 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 moves Agent Identity usage into provider auth resolution. That
keeps `AgentAssertion` auth tied to first-party OpenAI provider requests
instead of applying a late session-wide override that could affect
local, custom, Bedrock, API-key, or external-bearer providers.
What changed:
- adds a small `ProviderAuthScope` struct carrying the run auth policy
and session source needed by provider-scoped auth resolution
- lets `Session` opt the existing `ModelClient` into `ChatGptAuth`
policy when `use_agent_identity` is enabled, without adding a second
model-client constructor
- resolves Agent Identity only for first-party OpenAI provider auth
paths
- uses the persisted run task id from the `AgentIdentityAuth` record to
build `AgentAssertion` auth for Responses requests
- routes shared request setup through scoped provider auth so unary
compact requests use the same run-task assertion path as inference turns
- keeps local/custom/Bedrock/env-key/external-bearer provider auth
unchanged
- lets missing run-task state surface through the existing model-request
error path instead of silently falling back to bearer auth
This PR intentionally does not create thread-scoped, target-scoped, or
background-scoped task identities. The run task is the only task Codex
registers in this POC shape.
## Testing
- `just test -p codex-model-provider`
- `just test -p codex-core client::tests::provider_auth_scope_uses`
- `just test -p codex-core remote_compact_uses_agent_identity_assertion`
## 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`
## 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
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
- 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>
viyatb-oai