## 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
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
- 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>
## 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>
## Summary
- Replace the separate external auth enum and refresher trait with a
single `ExternalAuth` trait in login auth flow
- Move bearer token auth behind `BearerTokenRefresher` and update
`AuthManager` and app-server wiring to use the generic external auth API
## Summary
`ExternalAuthRefresher` was still shaped around external ChatGPT auth:
`ExternalAuthTokens` always implied ChatGPT account metadata even when a
caller only needed a bearer token.
This PR generalizes that contract so bearer-only sources are
first-class, while keeping the existing ChatGPT paths strict anywhere we
persist or rebuild ChatGPT auth state.
## Motivation
This is the first step toward #15189.
The follow-on provider-auth work needs one shared external-auth contract
that can do both of these things:
- resolve the current bearer token before a request is sent
- return a refreshed bearer token after a `401`
That should not require a second token result type just because there is
no ChatGPT account metadata attached.
## What Changed
- change `ExternalAuthTokens` to carry `access_token` plus optional
`ExternalAuthChatgptMetadata`
- add helper constructors for bearer-only tokens and ChatGPT-backed
tokens
- add `ExternalAuthRefresher::resolve()` with a default no-op
implementation so refreshers can optionally provide the current token
before a request is sent
- keep ChatGPT-only persistence strict by continuing to require ChatGPT
metadata anywhere the login layer seeds or reloads ChatGPT auth state
- update the app-server bridge to construct the new token shape for
external ChatGPT auth refreshes
## Testing
- `cargo test -p codex-login`
---
[//]: # (BEGIN SAPLING FOOTER)
Stack created with [Sapling](https://sapling-scm.com). Best reviewed
with [ReviewStack](https://reviewstack.dev/openai/codex/pull/16286).
* #16288
* #16287
* __->__ #16286
- 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>
## Stacked PRs
This work is now effectively split across two steps:
- #14178: add custom CA support for browser and device-code login flows,
docs, and hermetic subprocess tests
- #14239: extend that shared custom CA handling across Codex HTTPS
clients and secure websocket TLS
Note: #14240 was merged into this branch while it was stacked on top of
this PR. This PR now subsumes that websocket follow-up and should be
treated as the combined change.
Builds on top of #14178.
## Problem
Custom CA support landed first in the login path, but the real
requirement is broader. Codex constructs outbound TLS clients in
multiple places, and both HTTPS and secure websocket paths can fail
behind enterprise TLS interception if they do not honor
`CODEX_CA_CERTIFICATE` or `SSL_CERT_FILE` consistently.
This PR broadens the shared custom-CA logic beyond login and applies the
same policy to websocket TLS, so the enterprise-proxy story is no longer
split between “HTTPS works” and “websockets still fail”.
## What This Delivers
Custom CA support is no longer limited to login. Codex outbound HTTPS
clients and secure websocket connections can now honor the same
`CODEX_CA_CERTIFICATE` / `SSL_CERT_FILE` configuration, so enterprise
proxy/intercept setups work more consistently end-to-end.
For users and operators, nothing new needs to be configured beyond the
same CA env vars introduced in #14178. The change is that more of Codex
now respects them, including websocket-backed flows that were previously
still using default trust roots.
I also manually validated the proxy path locally with mitmproxy using:
`CODEX_CA_CERTIFICATE=~/.mitmproxy/mitmproxy-ca-cert.pem
HTTPS_PROXY=http://127.0.0.1:8080 just codex`
with mitmproxy installed via `brew install mitmproxy` and configured as
the macOS system proxy.
## Mental model
`codex-client` is now the owner of shared custom-CA policy for outbound
TLS client construction. Reqwest callers start from the builder
configuration they already need, then pass that builder through
`build_reqwest_client_with_custom_ca(...)`. Websocket callers ask the
same module for a rustls client config when a custom CA bundle is
configured.
The env precedence is the same everywhere:
- `CODEX_CA_CERTIFICATE` wins
- otherwise fall back to `SSL_CERT_FILE`
- otherwise use system roots
The helper is intentionally narrow. It loads every usable certificate
from the configured PEM bundle into the appropriate root store and
returns either a configured transport or a typed error that explains
what went wrong.
## Non-goals
This does not add handshake-level integration tests against a live TLS
endpoint. It does not validate that the configured bundle forms a
meaningful certificate chain. It also does not try to force every
transport in the repo through one abstraction; it extends the shared CA
policy across the reqwest and websocket paths that actually needed it.
## Tradeoffs
The main tradeoff is centralizing CA behavior in `codex-client` while
still leaving adoption up to call sites. That keeps the implementation
additive and reviewable, but it means the rule "outbound Codex TLS that
should honor enterprise roots must use the shared helper" is still
partly enforced socially rather than by types.
For websockets, the shared helper only builds an explicit rustls config
when a custom CA bundle is configured. When no override env var is set,
websocket callers still use their ordinary default connector path.
## Architecture
`codex-client::custom_ca` now owns CA bundle selection, PEM
normalization, mixed-section parsing, certificate extraction, typed
CA-loading errors, and optional rustls client-config construction for
websocket TLS.
The affected consumers now call into that shared helper directly rather
than carrying login-local CA behavior:
- backend-client
- cloud-tasks
- RMCP client paths that use `reqwest`
- TUI voice HTTP paths
- `codex-core` default reqwest client construction
- `codex-api` websocket clients for both responses and realtime
websocket connections
The subprocess CA probe, env-sensitive integration tests, and shared PEM
fixtures also live in `codex-client`, which is now the actual owner of
the behavior they exercise.
## Observability
The shared CA path logs:
- which environment variable selected the bundle
- which path was loaded
- how many certificates were accepted
- when `TRUSTED CERTIFICATE` labels were normalized
- when CRLs were ignored
- where client construction failed
Returned errors remain user-facing and include the relevant env var,
path, and remediation hint. That same error model now applies whether
the failure surfaced while building a reqwest client or websocket TLS
configuration.
## Tests
Pure unit tests in `codex-client` cover env precedence and PEM
normalization behavior. Real client construction remains in subprocess
tests so the suite can control process env and avoid the macOS seatbelt
panic path that motivated the hermetic test split.
The subprocess coverage verifies:
- `CODEX_CA_CERTIFICATE` precedence over `SSL_CERT_FILE`
- fallback to `SSL_CERT_FILE`
- single-cert and multi-cert bundles
- malformed and empty-file errors
- OpenSSL `TRUSTED CERTIFICATE` handling
- CRL tolerance for well-formed CRL sections
The websocket side is covered by the existing `codex-api` / `codex-core`
websocket test suites plus the manual mitmproxy validation above.
---------
Co-authored-by: Ivan Zakharchanka <3axap4eHko@gmail.com>
Co-authored-by: Codex <noreply@openai.com>
## Stacked PRs
This work is split across three stacked PRs:
- #14178: add custom CA support for browser and device-code login flows,
docs, and hermetic subprocess tests
- #14239: broaden the shared custom CA path from login to other outbound
`reqwest` clients across Codex
- #14240: extend that shared custom CA handling to secure websocket TLS
so websocket connections honor the same CA env vars
Review order: #14178, then #14239, then #14240.
Supersedes #6864.
Thanks to @3axap4eHko for the original implementation and investigation
here. Although this version rearranges the code and history
significantly, the majority of the credit for this work belongs to them.
## Problem
Login flows need to work in enterprise environments where outbound TLS
is intercepted by an internal proxy or gateway. In those setups, system
root certificates alone are often insufficient to validate the OAuth and
device-code endpoints used during login. The change adds a
login-specific custom CA loading path, but the important contracts
around env precedence, PEM compatibility, test boundaries, and
probe-only workarounds need to be explicit so reviewers can understand
what behavior is intentional.
For users and operators, the behavior is simple: if login needs to trust
a custom root CA, set `CODEX_CA_CERTIFICATE` to a PEM file containing
one or more certificates. If that variable is unset, login falls back to
`SSL_CERT_FILE`. If neither is set, login uses system roots. Invalid or
empty PEM files now fail with an error that points back to those
environment variables and explains how to recover.
## What This Delivers
Users can now make Codex login work behind enterprise TLS interception
by pointing `CODEX_CA_CERTIFICATE` at a PEM bundle containing the
relevant root certificates. If that variable is unset, login falls back
to `SSL_CERT_FILE`, then to system roots.
This PR applies that behavior to both browser-based and device-code
login flows. It also makes login tolerant of the PEM shapes operators
actually have in hand: multi-certificate bundles, OpenSSL `TRUSTED
CERTIFICATE` labels, and bundles that include well-formed CRLs.
## Mental model
`codex-login` is the place where the login flows construct ad hoc
outbound HTTP clients. That makes it the right boundary for a narrow CA
policy: look for `CODEX_CA_CERTIFICATE`, fall back to `SSL_CERT_FILE`,
load every parseable certificate block in that bundle into a
`reqwest::Client`, and fail early with a clear user-facing error if the
bundle is unreadable or malformed.
The implementation is intentionally pragmatic about PEM input shape. It
accepts ordinary certificate bundles, multi-certificate bundles, OpenSSL
`TRUSTED CERTIFICATE` labels, and bundles that also contain CRLs. It
does not validate a certificate chain or prove a handshake; it only
constructs the root store used by login.
## Non-goals
This change does not introduce a general-purpose transport abstraction
for the rest of the product. It does not validate whether the provided
bundle forms a real chain, and it does not add handshake-level
integration tests against a live TLS server. It also does not change
login state management or OAuth semantics beyond ensuring the existing
flows share the same CA-loading rules.
## Tradeoffs
The main tradeoff is keeping this logic scoped to login-specific client
construction rather than lifting it into a broader shared HTTP layer.
That keeps the review surface smaller, but it also means future
login-adjacent code must continue to use `build_login_http_client()` or
it can silently bypass enterprise CA overrides.
The `TRUSTED CERTIFICATE` handling is also intentionally a local
compatibility shim. The rustls ecosystem does not currently accept that
PEM label upstream, so the code normalizes it locally and trims the
OpenSSL `X509_AUX` trailer bytes down to the certificate DER that
`reqwest` can consume.
## Architecture
`custom_ca.rs` is now the single place that owns login CA behavior. It
selects the CA file from the environment, reads it, normalizes PEM label
shape where needed, iterates mixed PEM sections with `rustls-pki-types`,
ignores CRLs, trims OpenSSL trust metadata when necessary, and returns
either a configured `reqwest::Client` or a typed error.
The browser login server and the device-code flow both call
`build_login_http_client()`, so they share the same trust-store policy.
Environment-sensitive tests run through the `login_ca_probe` helper
binary because those tests must control process-wide env vars and cannot
reliably build a real reqwest client in-process on macOS seatbelt runs.
## Observability
The custom CA path logs which environment variable selected the bundle,
which file path was loaded, how many certificates were accepted, when
`TRUSTED CERTIFICATE` labels were normalized, when CRLs were ignored,
and where client construction failed. Returned errors remain user-facing
and include the relevant path, env var, and remediation hint.
This gives enough signal for three audiences:
- users can see why login failed and which env/file caused it
- sysadmins can confirm which override actually won
- developers can tell whether the failure happened during file read, PEM
parsing, certificate registration, or final reqwest client construction
## Tests
Pure unit tests stay limited to env precedence and empty-value handling.
Real client construction lives in subprocess tests so the suite remains
hermetic with respect to process env and macOS sandbox behavior.
The subprocess tests verify:
- `CODEX_CA_CERTIFICATE` precedence over `SSL_CERT_FILE`
- fallback to `SSL_CERT_FILE`
- single-certificate and multi-certificate bundles
- malformed and empty-bundle errors
- OpenSSL `TRUSTED CERTIFICATE` handling
- CRL tolerance for well-formed CRL sections
The named PEM fixtures under `login/tests/fixtures/` are shared by the
tests so their purpose stays reviewable.
---------
Co-authored-by: Ivan Zakharchanka <3axap4eHko@gmail.com>
Co-authored-by: Codex <noreply@openai.com>
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
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 adds a central `AuthManager` struct that manages the auth
information used across conversations and the MCP server. Prior to this,
each conversation and the MCP server got their own private snapshots of
the auth information, and changes to one (such as a logout or token
refresh) were not seen by others.
This is especially problematic when multiple instances of the CLI are
run. For example, consider the case where you start CLI 1 and log in to
ChatGPT account X and then start CLI 2 and log out and then log in to
ChatGPT account Y. The conversation in CLI 1 is still using account X,
but if you create a new conversation, it will suddenly (and
unexpectedly) switch to account Y.
With the `AuthManager`, auth information is read from disk at the time
the `ConversationManager` is constructed, and it is cached in memory.
All new conversations use this same auth information, as do any token
refreshes.
The `AuthManager` is also used by the MCP server's GetAuthStatus
command, which now returns the auth method currently used by the MCP
server.
This PR also includes an enhancement to the GetAuthStatus command. It
now accepts two new (optional) input parameters: `include_token` and
`refresh_token`. Callers can use this to request the in-use auth token
and can optionally request to refresh the token.
The PR also adds tests for the login and auth APIs that I recently added
to the MCP server.
This PR adds the following:
* A getAuthStatus method on the mcp server. This returns the auth method
currently in use (chatgpt or apikey) or none if the user is not
authenticated. It also returns the "preferred auth method" which
reflects the `preferred_auth_method` value in the config.
* A logout method on the mcp server. If called, it logs out the user and
deletes the `auth.json` file — the same behavior in the cli's `/logout`
command.
* An `authStatusChange` event notification that is sent when the auth
status changes due to successful login or logout operations.
* Logic to pass command-line config overrides to the mcp server at
startup time. This allows use cases like `codex mcp -c
preferred_auth_method=apikey`.
This PR:
- fixes for internal employee because we currently want to prefer SIWC
for them.
- fixes retrying forever on unauthorized access. we need to break
eventually on max retries.
ChatGPT token's live for only 1 hour. If the session is longer we don't
refresh the token. We should get the expiry timestamp and attempt to
refresh before it.
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
This PR adds two new APIs for the MCP server: 1) loginChatGpt, and 2)
cancelLoginChatGpt. The first starts a login server and returns a local
URL that allows for browser-based authentication, and the second
provides a way to cancel the login attempt. If the login attempt
succeeds, a notification (in the form of an event) is sent to a
subscriber.
I also added a timeout mechanism for the existing login server. The
loginChatGpt code path uses a 10-minute timeout by default, so if the
user fails to complete the login flow in that timeframe, the login
server automatically shuts down. I tested the timeout code by manually
setting the timeout to a much lower number and confirming that it works
as expected when used e2e.
This PR:
* Added the clippy.toml to configure allowable expect / unwrap usage in
tests
* Removed as many expect/allow lines as possible from tests
* moved a bunch of allows to expects where possible
Note: in integration tests, non `#[test]` helper functions are not
covered by this so we had to leave a few lingering `expect(expect_used`
checks around
This pull request implements a fix from #2000, as well as fixed an
additional problem with path lengths on windows that prevents the login
from displaying.
---------
Co-authored-by: Michael Bolin <bolinfest@gmail.com>
Co-authored-by: Michael Bolin <mbolin@openai.com>
Uses this rough strategy for authentication:
```
if auth.json
if auth.json.API_KEY is NULL # new auth
CHAT
else # old auth
if plus or pro or team
CHAT
else
API_KEY
else OPENAI_API_KEY
```
---
[//]: # (BEGIN SAPLING FOOTER)
Stack created with [Sapling](https://sapling-scm.com). Best reviewed
with [ReviewStack](https://reviewstack.dev/openai/codex/pull/1970).
* __->__ #1971
* #1970
* #1966
* #1965
* #1962
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
`CodexAuth::new()` was the first method listed in `CodexAuth`, but it is
only meant to be used by tests. Rename it to
`create_dummy_chatgpt_auth_for_testing()` and move it to the end of the
implementation.
---
[//]: # (BEGIN SAPLING FOOTER)
Stack created with [Sapling](https://sapling-scm.com). Best reviewed
with [ReviewStack](https://reviewstack.dev/openai/codex/pull/1962).
* #1971
* #1970
* #1966
* #1965
* __->__ #1962
- `/status` renders
```
signed in with chatgpt
login: example@example.com
plan: plus
```
- Setup for using this info in a few more places.
---------
Co-authored-by: Michael Bolin <mbolin@openai.com>
## Summary
- support `codex logout` via new subcommand and helper that removes the
stored `auth.json`
- expose a `logout` function in `codex-login` and test it
- add `/logout` slash command in the TUI; command list is filtered when
not logged in and the handler deletes `auth.json` then exits
## Testing
- `just fix` *(fails: failed to get `diffy` from crates.io)*
- `cargo test --all-features` *(fails: failed to get `diffy` from
crates.io)*
------
https://chatgpt.com/codex/tasks/task_i_68945c3facac832ca83d48499716fb51
This sets up the scaffolding and basic flow for a TUI onboarding
experience. It covers sign in with ChatGPT, env auth, as well as some
safety guidance.
Next up:
1. Replace the git warning screen
2. Use this to configure default approval/sandbox modes
Note the shimmer flashes are from me slicing the video, not jank.
https://github.com/user-attachments/assets/0fbe3479-fdde-41f3-87fb-a7a83ab895b8
Adds a `CodexAuth` type that encapsulates information about available
auth modes and logic for refreshing the token.
Changes `Responses` API to send requests to different endpoints based on
the auth type.
Updates login_with_chatgpt to support API-less mode and skip the key
exchange.
Perhaps there was an intention to make the login screen prettier, but it
feels quite silly right now to just have a screen that says "press q",
so replace it with something that lets the user directly login without
having to quit the app.
<img width="1283" height="635" alt="Screenshot 2025-07-28 at 2 54 05 PM"
src="https://github.com/user-attachments/assets/f19e5595-6ef9-4a2d-b409-aa61b30d3628"
/>
In order to to this, I created a new `chatgpt` crate where we can put
any code that interacts directly with ChatGPT as opposed to the OpenAI
API. I added a disclaimer to the README for it that it should primarily
be modified by OpenAI employees.
https://github.com/user-attachments/assets/bb978e33-d2c9-4d8e-af28-c8c25b1988e8
Edward Frazer