## Why
Config loading had become split across crates: `codex-config` owned the
config types and merge logic, while `codex-core` still owned the loader
that assembled the layer stack. This change consolidates that
responsibility in `codex-config`, so the crate that defines config
behavior also owns how configs are discovered and loaded.
To make that move possible without reintroducing the old dependency
cycle, the shell-environment policy types and helpers that
`codex-exec-server` needs now live in `codex-protocol` instead of
flowing through `codex-config`.
This also makes the migrated loader tests more deterministic on machines
that already have managed or system Codex config installed by letting
tests override the system config and requirements paths instead of
reading the host's `/etc/codex`.
## What Changed
- moved the config loader implementation from `codex-core` into
`codex-config::loader` and deleted the old `core::config_loader` module
instead of leaving a compatibility shim
- moved shell-environment policy types and helpers into
`codex-protocol`, then updated `codex-exec-server` and other downstream
crates to import them from their new home
- updated downstream callers to use loader/config APIs from
`codex-config`
- added test-only loader overrides for system config and requirements
paths so loader-focused tests do not depend on host-managed config state
- cleaned up now-unused dependency entries and platform-specific cfgs
that were surfaced by post-push CI
## Testing
- `cargo test -p codex-config`
- `cargo test -p codex-core config_loader_tests::`
- `cargo test -p codex-protocol -p codex-exec-server -p
codex-cloud-requirements -p codex-rmcp-client --lib`
- `cargo test --lib -p codex-app-server-client -p codex-exec`
- `cargo test --no-run --lib -p codex-app-server`
- `cargo test -p codex-linux-sandbox --lib`
- `cargo shear`
- `just bazel-lock-check`
## Notes
- I did not chase unrelated full-suite failures outside the migrated
loader surface.
- `cargo test -p codex-core --lib` still hits unrelated proxy-sensitive
failures on this machine, and Windows CI still shows unrelated
long-running/timeouting test noise outside the loader migration itself.
## 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>
This removes the hidden `codex responses` CLI subcommand after
confirming no downstream callers rely on it, deleting the raw Responses
passthrough implementation, unregistering the subcommand, and dropping
the now-unused CLI dependencies on `codex-api` and
`codex-model-provider`.
Some providers of Responses API forward a model-defined `end_turn`
boolean indicating explicitly the model's indication of whether it would
like to end the turn or to be inferenced again. In this PR, we update
the sampling loop to use this field correctly if it's set. If the field
is not set by the provider, we fall back to the existing sampling logic.
## Why
Device-key providers should only own platform key material. The
account/client binding used to authorize a signing payload is app-server
state, and keeping that state in provider-specific metadata makes the
same check harder to audit and harder to share across platform
implementations.
Persisting the binding in the shared state database gives the device-key
crate a platform-neutral source of truth before it asks a provider to
sign. It also lets app-server move potentially blocking key operations
off the main message processor path, which matters once providers may
wait for OS authentication prompts.
## What changed
- Add a `device_key_bindings` state migration plus `StateRuntime`
helpers keyed by `key_id`.
- Add an async `DeviceKeyBindingStore` abstraction to `codex-device-key`
and use it from `DeviceKeyStore::create` and `DeviceKeyStore::sign`.
- Keep provider calls behind async store methods and run the synchronous
provider work through `spawn_blocking`.
- Wire app-server device-key RPC handling to the SQLite-backed binding
store and spawn response/error delivery tasks for device-key requests.
- Run the turn-start tracing test on the existing larger current-thread
test harness after the larger async surface made the default test stack
too small locally.
## Validation
- `cargo test -p codex-device-key`
- `cargo test -p codex-state device_key`
- `cargo test -p codex-state`
- `cargo test -p codex-app-server device_key`
- `cargo test -p codex-app-server
message_processor::tracing_tests::turn_start_jsonrpc_span_parents_core_turn_spans`
- `cargo test -p codex-app-server`
- `just fix -p codex-device-key`
- `just fix -p codex-state`
- `just fix -p codex-app-server`
- `just bazel-lock-update`
- `just bazel-lock-check`
- `git diff --check`
## Why
`codex-models-manager` had grown to own provider-specific concerns:
constructing OpenAI-compatible `/models` requests, resolving provider
auth, emitting request telemetry, and deciding how provider catalogs
should be sourced. That made the manager harder to reuse for providers
whose model catalog is not fetched from the OpenAI `/models` endpoint,
such as Amazon Bedrock.
This change moves provider-specific model discovery behind
provider-owned implementations, so the models manager can focus on
refresh policy, cache behavior, picker ordering, and model metadata
merging.
## What Changed
- Introduced a `ModelsManager` trait with separate `OpenAiModelsManager`
and `StaticModelsManager` implementations.
- Added `ModelsEndpointClient` so OpenAI-compatible HTTP fetching lives
outside `codex-models-manager`.
- Moved `/models` request construction, provider auth resolution,
timeout handling, and request telemetry into `codex-model-provider` via
`OpenAiModelsEndpoint`.
- Added provider-owned `models_manager(...)` construction so configured
OpenAI-compatible providers use `OpenAiModelsManager`, while
static/catalog-backed providers can return `StaticModelsManager`.
- Added an Amazon Bedrock static model catalog for the GPT OSS Bedrock
model IDs.
- Updated core/session/thread manager code and tests to depend on
`Arc<dyn ModelsManager>`.
- Moved offline model test helpers into
`codex_models_manager::test_support`.
## Metadata References
The Bedrock catalog metadata is based on the official Amazon Bedrock
OpenAI model documentation:
- [Amazon Bedrock OpenAI
models](https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-openai.html)
lists the Bedrock model IDs, text input/output modalities, and `128,000`
token context window for `gpt-oss-20b` and `gpt-oss-120b`.
- [Amazon Bedrock `gpt-oss-120b` model
card](https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-openai-gpt-oss-120b.html)
lists the `bedrock-runtime` model ID `openai.gpt-oss-120b-1:0`, the
`bedrock-mantle` model ID `openai.gpt-oss-120b`, text-only modalities,
and `128K` context window.
- [OpenAI `gpt-oss-120b` model
docs](https://developers.openai.com/api/docs/models/gpt-oss-120b)
document configurable reasoning effort with `low`, `medium`, and `high`,
plus text input/output modality.
The display names, default reasoning effort, and priority ordering are
Codex-local catalog choices.
## Test Plan
- Manually verified app-server model listing with an AWS profile:
```shell
CODEX_HOME="$(mktemp -d)" cargo run -p codex-app-server-test-client -- \
--codex-bin ./target/debug/codex \
-c 'model_provider="amazon-bedrock"' \
-c 'model_providers.amazon-bedrock.aws.profile="codex-bedrock"' \
-c 'model_providers.amazon-bedrock.aws.region="us-west-2"' \
model-list
```
The response returned the Bedrock catalog with `openai.gpt-oss-120b-1:0`
as the default model and `openai.gpt-oss-20b-1:0` as the second listed
model, both text-only and supporting low/medium/high reasoning effort.
## Summary
Adds the debug CLI entry point for reducing recorded rollout traces.
This gives developers a direct way to inspect whether the emitted trace
stream reduces into the expected conversation/runtime model.
## Stack
This is PR 5/5 in the rollout trace stack.
- [#18876](https://github.com/openai/codex/pull/18876): Add rollout
trace crate
- [#18877](https://github.com/openai/codex/pull/18877): Record core
session rollout traces
- [#18878](https://github.com/openai/codex/pull/18878): Trace tool and
code-mode boundaries
- [#18879](https://github.com/openai/codex/pull/18879): Trace sessions
and multi-agent edges
- [#18880](https://github.com/openai/codex/pull/18880): Add debug trace
reduction command
## Review Notes
This PR is intentionally last: it depends on the trace crate, core
recorder, runtime/tool events, and session/agent edge data all existing.
The command should remain a debug/developer tool and avoid adding new
runtime behavior.
The useful review question is whether the CLI exposes the reducer in the
smallest practical way for local inspection without turning the debug
command into a supported user-facing workflow.
## Summary
Extends rollout tracing across tool dispatch and code-mode runtime
boundaries. This records canonical tool-call lifecycle events and links
code-mode execution/wait operations back to the model-visible calls that
caused them.
## Stack
This is PR 3/5 in the rollout trace stack.
- [#18876](https://github.com/openai/codex/pull/18876): Add rollout
trace crate
- [#18877](https://github.com/openai/codex/pull/18877): Record core
session rollout traces
- [#18878](https://github.com/openai/codex/pull/18878): Trace tool and
code-mode boundaries
- [#18879](https://github.com/openai/codex/pull/18879): Trace sessions
and multi-agent edges
- [#18880](https://github.com/openai/codex/pull/18880): Add debug trace
reduction command
## Review Notes
This PR is about attribution. Reviewers should focus on whether direct
tool calls, code-mode-originated tool calls, waits, outputs, and
cancellation boundaries are recorded with enough source information for
deterministic reduction without coupling the reducer to live runtime
internals.
The stack remains valid after this layer: tool and code-mode traces
reduce through the existing crate model, while the broader session and
multi-agent relationships are added in the next PR.
## Summary
- add unix:// app-server transport backed by the shared codex-uds crate
- reuse the websocket connection loop for axum and tungstenite-backed
streams
- add codex app-server proxy to bridge stdio clients to the control
socket
- tolerate Windows UDS backends that report a missing rendezvous path as
connection refused before binding
## Tests
- cargo test -p codex-app-server
control_socket_acceptor_forwards_websocket_text_messages_and_pings
- cargo test -p codex-app-server
- just fmt
- just fix -p codex-app-server
- git -c core.fsmonitor=false diff --check
Begin migrating the thread write codepaths to ThreadStore.
This starts using ThreadStore inside of core session code, not only in
the app server code.
Rework the interfaces around thread recording/persistence. We're left
with the following:
* `ThreadManager`: owns the process-level registry of loaded threads and
handles cross-thread orchestration: start, resume, fork, lookup, remove,
and route ops to running CodexThreads.
* `CodexThread`: represents one loaded/running thread from the outside.
It is the handle app-server and callers use to submit ops, inspect
session metadata, and shut the thread down.
* `LiveThread`: session-owned persistence lifecycle handle for one
active thread. Core session code uses it to append rollout items,
materialize lazy persistence, flush, shutdown, discard init-failed
writers, and load that thread’s persisted history.
* `ThreadStore`: storage backend abstraction. It answers “how are
threads persisted, read, listed, updated, archived?” Local and remote
implementations live behind this trait.
* `LocalThreadStore`: local ThreadStore implementation. It owns the
file/sqlite-specific details and keeps RolloutRecorder as a local
implementation detail.
This is a few too many Thread abstractions for my liking, but they do
all represent different concepts / needs / layers.
Migration note: in places where the core code explicitly requires a
path, rather than a thread ID, throw an error if we're running with a
remote store.
Cover the new local live-writer lifecycle with focused tests and
preserve app-server thread-start behavior, including ephemeral pathless
sessions.
## Why
Thread-scoped config needs a stable boundary between the app/session
owner and the config stack. Instead of having call sites manually copy
thread config fields into individual overrides, this adds the proto and
Rust plumbing needed for a `ThreadConfigLoader` implementation to return
typed sources that can be translated into ordinary config layer entries.
Keeping the remote payload typed also makes precedence easier to reason
about: session-owned thread config maps back to the existing session
config source, while user-owned thread config is represented separately
without introducing a new config-layer source until it has TOML-backed
fields.
## What changed
- Added the `codex.thread_config.v1` protobuf service and generated Rust
module for loading thread config sources.
- Added `RemoteThreadConfigLoader`, which calls the gRPC service, parses
`SessionThreadConfig` / `UserThreadConfig`, and validates provider
fields such as `wire_api`, auth timeout, and absolute auth cwd.
- Added proto generation tooling under
`config/scripts/generate-proto.sh` and
`config/examples/generate-proto.rs`.
- Added `ThreadConfigLoader::load_config_layers`, plus static/no-op
loader helpers, so tests and callers can use the same typed loader
interface while config-layer translation stays centralized.
## Verification
- `cargo test -p codex-config thread_config`
### Why
The RMCP layer needs a Streamable HTTP client that can talk either
directly over `reqwest` or through the executor HTTP runner without
duplicating MCP session logic higher in the stack. This PR adds that
client-side transport boundary so remote Streamable HTTP MCP can reuse
the same RMCP flow as the local path.
### What
- Add a shared `rmcp-client/src/streamable_http/` module with:
- `transport_client.rs` for the local-or-remote transport enum
- `local_client.rs` for the direct `reqwest` implementation
- `remote_client.rs` for the executor-backed implementation
- `common.rs` for the small shared Streamable HTTP helpers
- Teach `RmcpClient` to build Streamable HTTP transports in either local
or remote mode while keeping the existing OAuth ownership in RMCP.
- Translate remote POST, GET, and DELETE session operations into
executor `http/request` calls.
- Preserve RMCP session expiry handling and reconnect behavior for the
remote transport.
- Add remote transport coverage in
`rmcp-client/tests/streamable_http_remote.rs` and keep the shared test
support in `rmcp-client/tests/streamable_http_test_support.rs`.
### Verification
- `cargo check -p codex-rmcp-client`
- online CI
### Stack
1. #18581 protocol
2. #18582 runner
3. #18583 RMCP client
4. #18584 manager wiring and local/remote coverage
---------
Co-authored-by: Codex <noreply@openai.com>
### Why
Remote streamable HTTP MCP needs the executor to perform ordinary HTTP
requests on the executor side. This keeps network placement aligned with
`experimental_environment = "remote"` without adding MCP-specific
executor APIs.
### What
- Add an executor-side `http/request` runner backed by `reqwest`.
- Validate request method and URL scheme, preserving the transport
boundary at plain HTTP.
- Return buffered responses for ordinary calls and emit ordered
`http/request/bodyDelta` notifications for streaming responses.
- Register the request handler in the exec-server router.
- Document the runner entrypoint, conversion helpers, body-stream
bridge, notification sender, timeout behavior, and new integration-test
helpers.
- Add exec-server integration tests with the existing websocket harness
and a local TCP HTTP peer for buffered and streamed responses, with
comments spelling out what each test proves and its
setup/exercise/assert phases.
### Stack
1. #18581 protocol
2. #18582 runner
3. #18583 RMCP client
4. #18584 manager wiring and local/remote coverage
### Verification
- `just fmt`
- `cargo check -p codex-exec-server -p codex-rmcp-client --tests`
- `cargo check -p codex-core --test all` compile-only
- `git diff --check`
- Online full CI is running from the `full-ci` branch, including the
remote Rust test job.
Co-authored-by: Codex <noreply@openai.com>
---------
Co-authored-by: Codex <noreply@openai.com>
## Summary
Wires rollout trace recording into `codex-core` session and turn
execution. This records the core model request/response, compaction, and
session lifecycle boundaries needed for replay without yet tracing every
nested runtime/tool boundary.
## Stack
This is PR 2/5 in the rollout trace stack.
- [#18876](https://github.com/openai/codex/pull/18876): Add rollout
trace crate
- [#18877](https://github.com/openai/codex/pull/18877): Record core
session rollout traces
- [#18878](https://github.com/openai/codex/pull/18878): Trace tool and
code-mode boundaries
- [#18879](https://github.com/openai/codex/pull/18879): Trace sessions
and multi-agent edges
- [#18880](https://github.com/openai/codex/pull/18880): Add debug trace
reduction command
## Review Notes
This layer is the first live integration point. The important review
question is whether trace recording is isolated from normal session
behavior: trace failures should not become user-visible execution
failures, and recording should preserve the existing turn/session
lifecycle semantics.
The PR depends on the reducer/data model from the first stack entry and
only introduces the core recorder surface that later PRs use for richer
runtime and relationship events.
## 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
The Bedrock Mantle SigV4 auth provider currently looks like it can
lazily load `AwsAuthContext`, but the provider is only constructed after
`resolve_auth_method` has already loaded that context. Because
`with_context` always pre-populates the `OnceCell`, the
`get_or_try_init` fallback is unused in normal operation and makes the
provider lifecycle harder to reason about.
This change removes that dead lazy-loading path and makes the actual
behavior explicit:
- `BedrockAuthMethod::AwsSdkAuth` carries only the resolved
`AwsAuthContext`.
- `BedrockMantleSigV4AuthProvider` stores the resolved context directly.
- request signing uses the stored context without going through
`OnceCell`.
The existing eager AWS auth resolution behavior is unchanged; this is a
simplification of the provider state, not a behavior change.
## Testing
- `cargo shear`
- `cargo test -p codex-model-provider`
- `just bazel-lock-check`
Add a temporary internal remote_plugin feature flag that merges remote
marketplaces into plugin/list and routes plugin/read through the remote
APIs when needed, while keeping pure local marketplaces working as
before.
---------
Co-authored-by: Codex <noreply@openai.com>
## Summary
Add first-class Amazon Bedrock Mantle provider support so Codex can keep
using its existing Responses API transport with OpenAI-compatible
AWS-hosted endpoints such as AOA/Mantle.
This is needed for the AWS launch path, where provider traffic should
authenticate with AWS credentials instead of OpenAI bearer credentials.
Requests are authenticated immediately before transport send, so SigV4
signs the final method, URL, headers, and body bytes that `reqwest` will
send.
## What Changed
- Added a new `codex-aws-auth` crate for loading AWS SDK config,
resolving credentials, and signing finalized HTTP requests with AWS
SigV4.
- Added a built-in `amazon-bedrock` provider that targets Bedrock Mantle
Responses endpoints, defaults to `us-east-1`, supports region/profile
overrides, disables WebSockets, and does not require OpenAI auth.
- Added Amazon Bedrock auth resolution in `codex-model-provider`: prefer
`AWS_BEARER_TOKEN_BEDROCK` when set, otherwise use AWS SDK credentials
and SigV4 signing.
- Added `AuthProvider::apply_auth` and `Request::prepare_body_for_send`
so request-signing providers can sign the exact outbound request after
JSON serialization/compression.
- Determine the region by taking the `aws.region` config first (required
for bearer token codepath), and fallback to SDK default region.
## Testing
Amazon Bedrock Mantle Responses paths:
- Built the local Codex binary with `cargo build`.
- Verified the custom proxy-backed `aws` provider using `env_key =
"AWS_BEARER_TOKEN_BEDROCK"` streamed raw `responses` output with
`response.output_text.delta`, `response.completed`, and `mantle-env-ok`.
- Verified a full `codex exec --profile aws` turn returned
`mantle-env-ok`.
- Confirmed the custom provider used the bearer env var, not AWS profile
auth: bogus `AWS_PROFILE` still passed, empty env var failed locally,
and malformed env var reached Mantle and failed with `401
invalid_api_key`.
- Verified built-in `amazon-bedrock` with `AWS_BEARER_TOKEN_BEDROCK` set
passed despite bogus AWS profiles, returning `amazon-bedrock-env-ok`.
- Verified built-in `amazon-bedrock` SDK/SigV4 auth passed with
`AWS_BEARER_TOKEN_BEDROCK` unset and temporary AWS session env
credentials, returning `amazon-bedrock-sdk-env-ok`.
## Summary
Adds the standalone `codex-rollout-trace` crate, which defines the raw
trace event format, replay/reduction model, writer, and reducer logic
for reconstructing model-visible conversation/runtime state from
recorded rollout data.
The crate-level design is documented in
[`codex-rs/rollout-trace/README.md`](https://github.com/openai/codex/blob/codex/rollout-trace-crate/codex-rs/rollout-trace/README.md).
## Stack
This is PR 1/5 in the rollout trace stack.
- [#18876](https://github.com/openai/codex/pull/18876): Add rollout
trace crate
- [#18877](https://github.com/openai/codex/pull/18877): Record core
session rollout traces
- [#18878](https://github.com/openai/codex/pull/18878): Trace tool and
code-mode boundaries
- [#18879](https://github.com/openai/codex/pull/18879): Trace sessions
and multi-agent edges
- [#18880](https://github.com/openai/codex/pull/18880): Add debug trace
reduction command
## Review Notes
This PR intentionally does not wire tracing into live Codex execution.
It establishes the data model and reducer contract first, with
crate-local tests covering conversation reconstruction, compaction
boundaries, tool/session edges, and code-cell lifecycle reduction. Later
PRs emit into this model.
The README is the best entry point for reviewing the intended trace
format and reduction semantics before diving into the reducer modules.
## 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
The device-key protocol needs an app-server implementation that keeps
local key operations behind the same request-processing boundary as
other v2 APIs.
app-server owns request dispatch, transport policy, documentation, and
JSON-RPC error shaping. `codex-device-key` owns key binding, validation,
platform provider selection, and signing mechanics. Keeping the adapter
thin makes the boundary easier to review and avoids moving local
key-management details into thread orchestration code.
## What changed
- Added `DeviceKeyApi` as the app-server adapter around
`DeviceKeyStore`.
- Converted protocol protection policies, payload variants, algorithms,
and protection classes to and from the device-key crate types.
- Encoded SPKI public keys and DER signatures as base64 protocol fields.
- Routed `device/key/create`, `device/key/public`, and `device/key/sign`
through `MessageProcessor`.
- Rejected remote transports before provider access while allowing local
`stdio` and in-process callers to reach the device-key API.
- Added stdio, in-process, and websocket tests for device-key validation
and transport policy.
- Documented the device-key methods in the app-server v2 method list.
## Test coverage
- `device_key_create_rejects_empty_account_user_id`
- `in_process_allows_device_key_requests_to_reach_device_key_api`
- `device_key_methods_are_rejected_over_websocket`
## Stack
This is PR 3 of 4 in the device-key app-server stack. It is stacked on
#18429.
## Validation
- `cargo test -p codex-app-server device_key`
- `just fix -p codex-app-server`
## Why
Device-key storage and signing are local security-sensitive operations
with platform-specific behavior. Keeping the core API in
`codex-device-key` keeps app-server focused on routing and business
logic instead of owning key-management details.
The crate keeps the signing surface intentionally narrow: callers can
create a bound key, fetch its public key, or sign one of the structured
payloads accepted by the crate. It does not expose a generic
arbitrary-byte signing API.
Key IDs cross into platform-specific labels, tags, and metadata paths,
so externally supplied IDs are constrained to the same auditable
namespace created by the crate: `dk_` followed by unpadded base64url for
32 bytes. Remote-control target paths are also tied to each signed
payload shape so connection proofs cannot be reused for enrollment
endpoints, or vice versa.
## What changed
- Added the `codex-device-key` workspace crate.
- Added account/client-bound key creation with stable `dk_` key IDs.
- Added strict `key_id` validation before public-key lookup or signing
reaches a provider.
- Added public-key lookup and structured signing APIs.
- Split remote-control client endpoint allowlists by connection vs
enrollment payload shape.
- Added validation for key bindings, accepted payload fields, token
expiration, and payload/key binding mismatches.
- Added flow-oriented docs on the validation helpers that gate provider
signing.
- Added protection policy and protection-class types without wiring a
platform provider yet.
- Added an unsupported default provider so platforms without an
implementation fail explicitly instead of silently falling back to
software-backed keys.
- Updated Cargo and Bazel lock metadata for the new crate and
non-platform-specific dependencies.
## Stack
This is stacked on #18428.
## Validation
- `cargo test -p codex-device-key`
- Added unit coverage for strict `key_id` validation before provider
use.
- Added unit coverage that rejects remote-control paths from the wrong
signed payload shape.
- `just bazel-lock-update`
- `just bazel-lock-check`
This add with 2 entry point:
* `reset_git_repository` that takes a directory and set it as a new git
root
* `diff_since_latest_init` this returns the diff for a given directory
since the last `reset_git_repository`
## Why
Customers need finer-grained control over allowed sandbox modes based on
the host Codex is running on. For example, they may want stricter
sandbox limits on devboxes while keeping a different default elsewhere.
Our current cloud requirements can target user/account groups, but they
cannot vary sandbox requirements by host. That makes remote development
environments awkward because the same top-level `allowed_sandbox_modes`
has to apply everywhere.
## What
Adds a new `remote_sandbox_config` section to `requirements.toml`:
```toml
allowed_sandbox_modes = ["read-only"]
[[remote_sandbox_config]]
hostname_patterns = ["*.org"]
allowed_sandbox_modes = ["read-only", "workspace-write"]
[[remote_sandbox_config]]
hostname_patterns = ["*.sh", "runner-*.ci"]
allowed_sandbox_modes = ["read-only", "danger-full-access"]
```
During requirements resolution, Codex resolves the local host name once,
preferring the machine FQDN when available and falling back to the
cleaned kernel hostname. This host classification is best effort rather
than authenticated device proof.
Each requirements source applies its first matching
`remote_sandbox_config` entry before it is merged with other sources.
The shared merge helper keeps that `apply_remote_sandbox_config` step
paired with requirements merging so new requirements sources do not have
to remember the extra call.
That preserves source precedence: a lower-precedence requirements file
with a matching `remote_sandbox_config` cannot override a
higher-precedence source that already set `allowed_sandbox_modes`.
This also wires the hostname-aware resolution through app-server,
CLI/TUI config loading, config API reads, and config layer metadata so
they all evaluate remote sandbox requirements consistently.
## Verification
- `cargo test -p codex-config remote_sandbox_config`
- `cargo test -p codex-config host_name`
- `cargo test -p codex-core
load_config_layers_applies_matching_remote_sandbox_config`
- `cargo test -p codex-core
system_remote_sandbox_config_keeps_cloud_sandbox_modes`
- `cargo test -p codex-config`
- `cargo test -p codex-core` unit tests passed; `tests/all.rs`
integration matrix was intentionally stopped after the relevant focused
tests passed
- `just fix -p codex-config`
- `just fix -p codex-core`
- `cargo check -p codex-app-server`
## Why
Cloud-hosted sessions need a way for the service that starts or manages
a thread to provide session-owned config without treating all config as
if it came from the same user/project/workspace TOML stack.
The important boundary is ownership: some values should be controlled by
the session/orchestrator, some by the authenticated user, and later some
may come from the executor. The earlier broad config-store shape made
that boundary too fuzzy and overlapped heavily with the existing
filesystem-backed config loader. This PR starts with the smaller piece
we need now: a typed session config loader that can feed the existing
config layer stack while preserving the normal precedence and merge
behavior.
## What Changed
- Added `ThreadConfigLoader` and related typed payloads in
`codex-config`.
- `SessionThreadConfig` currently supports `model_provider`,
`model_providers`, and feature flags.
- `UserThreadConfig` is present as an ownership boundary, but does not
yet add TOML-backed fields.
- `NoopThreadConfigLoader` preserves existing behavior when no external
loader is configured.
- `StaticThreadConfigLoader` supports tests and simple callers.
- Taught thread config sources to produce ordinary `ConfigLayerEntry`
values so the existing `ConfigLayerStack` remains the place where
precedence and merging happen.
- Wired the loader through `ConfigBuilder`, the config loader, and
app-server startup paths so app-server can provide session-owned config
before deriving a thread config.
- Added coverage for:
- translating typed thread config into config layers,
- inserting thread config layers into the stack at the right precedence,
- applying session-provided model provider and feature settings when
app-server derives config from thread params.
## Follow-Ups
This intentionally stops short of adding the remote/service transport.
The next pieces are expected to be:
1. Define the proto/API shape for this interface.
2. Add a client implementation that can source session config from the
service side.
## Verification
- Added unit coverage in `codex-config` for the loader and layer
conversion.
- Added `codex-core` config loader coverage for thread config layer
precedence.
- Added app-server coverage that verifies session thread config wins
over request-provided config for model provider and feature settings.
## Summary
- add a codex-uds crate with async UnixListener and UnixStream wrappers
- expose helpers for private socket directory setup and stale socket
path checks
- migrate codex-stdio-to-uds onto codex-uds and Tokio-based stdio/socket
relaying
- update the CLI stdio-to-uds command path for the async runner
## Tests
- cargo test -p codex-uds -p codex-stdio-to-uds
- cargo test -p codex-cli
- just fmt
- just fix -p codex-uds
- just fix -p codex-stdio-to-uds
- just fix -p codex-cli
- just bazel-lock-check
- git diff --check
## Summary
- Pin vulnerable npm dependencies through the existing root
`resolutions` mechanism so the lockfile moves only to patched versions.
- Refresh `pnpm-lock.yaml` for `@modelcontextprotocol/sdk`,
`handlebars`, `path-to-regexp`, `picomatch`, `minimatch`, `flatted`,
`rollup`, and `glob`.
- Bump `quinn-proto` from `0.11.13` to `0.11.14` and refresh
`MODULE.bazel.lock`.
## Testing
- `corepack pnpm --store-dir .pnpm-store install --frozen-lockfile
--ignore-scripts`
- `corepack pnpm audit --audit-level high` (passes; remaining advisories
are low/moderate)
- `corepack pnpm -r --filter ./sdk/typescript run build`
- `corepack pnpm exec eslint 'src/**/*.ts' 'tests/**/*.ts'`
- `cargo check --locked`
- `cargo build -p codex-cli`
- `bazel --output_user_root=/tmp/bazel-codex-dependabot
--ignore_all_rc_files mod deps --lockfile_mode=error`
- `just fmt`
Note: `corepack pnpm -r --filter ./sdk/typescript run test` was also
attempted after building `codex`; it is blocked on this workstation by
host-managed Codex MDM/auth state (`approval_policy` restrictions and
ChatGPT/API-key mismatch), not by this dependency change.
## Problem
The TUI still imported path utilities and config-loader symbols through
app-server-client's legacy_core facade even though those APIs already
exist in utility/config crates. This is part of our ongoing effort to
whittle away at these old dependencies.
## Solution
Rewire imports to avoid the TUI directly importing from the core crate
and instead import from common lower-level crates. This PR doesn't
include any functional changes; it's just a simple rewiring.
## 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
The TUI still imported several symbols through the transitional
app-server-client `legacy_core` facade even though those symbols are
already owned by smaller crates. This PR narrows that facade by rewiring
those imports directly to their owner crates.
## Changes
No functional changes, just import rewiring. This is part of our ongoing
effort to whittle away at the `legacy_core` namespace, which represents
all of the remaining symbols that the TUI imports from the core.
## Stack
1. Base PR: #18443 stops granting ACLs on `USERPROFILE`.
2. This PR: filters additional SSH-owned profile roots discovered from
SSH config.
## Bug
The base PR removes the broadest bad grant: `USERPROFILE` itself.
That still leaves one important case. A user profile child can be
SSH-owned even when its name is not one of our fixed exclusions.
For example:
```sshconfig
Host devbox
IdentityFile ~/.keys/devbox
CertificateFile ~/.certs/devbox-cert.pub
UserKnownHostsFile ~/.known_hosts_custom
Include ~/.ssh/conf.d/*.conf
```
After profile expansion, the sandbox might see these as normal profile
children:
```text
C:\Users\me\.keys
C:\Users\me\.certs
C:\Users\me\.known_hosts_custom
C:\Users\me\.ssh
```
Those paths have another owner: OpenSSH and the tools that manage SSH
identity and host-key state. Codex should not add sandbox ACLs to them.
OpenSSH describes this dependency tree in
[`ssh_config(5)`](https://man.openbsd.org/ssh_config.5), and the client
parser follows the same shape in `readconf.c`:
- `Include` recursively reads more config files and expands globs
- `IdentityFile` and `CertificateFile` name authentication files
- `UserKnownHostsFile`, `GlobalKnownHostsFile`, and `RevokedHostKeys`
name host-key files
- `ControlPath` and `IdentityAgent` can name profile-owned sockets or
control files
- these path directives can use forms such as `~`, `%d`, and `${HOME}`
## Change
This PR adds a small SSH config dependency scanner.
It starts at:
```text
~/.ssh/config
```
Then it returns concrete paths named by `Include` and by path-valued SSH
config directives:
```text
IdentityFile
CertificateFile
UserKnownHostsFile
GlobalKnownHostsFile
RevokedHostKeys
ControlPath
IdentityAgent
```
For example:
```sshconfig
IdentityFile ~/.keys/devbox
CertificateFile ~/.certs/devbox-cert.pub
Include ~/.ssh/conf.d/*.conf
```
returns paths like:
```text
C:\Users\me\.keys\devbox
C:\Users\me\.certs\devbox-cert.pub
C:\Users\me\.ssh\conf.d\devbox.conf
```
The setup code then maps those paths back to their top-level
`USERPROFILE` child and filters matching sandbox roots out of both the
writable and readable root lists.
## Why this shape
The parser reports what SSH config references. The sandbox setup code
decides which `USERPROFILE` roots are unsafe to grant.
That keeps the policy simple:
1. expand broad profile grants
2. remove the profile root
3. remove fixed sensitive profile folders
4. remove profile folders referenced by SSH config dependencies
If a path has two possible owners, the sandbox steps back. SSH keeps
control of SSH config, keys, certificates, known-hosts files, sockets,
and included config files.
## Tests
- `cargo test -p codex-windows-sandbox --lib`
- `just bazel-lock-check`
- `just fix -p codex-windows-sandbox`
- `git diff --check`
## Summary
- Add the executor-backed RMCP stdio transport.
- Wire MCP stdio placement through the executor environment config.
- Cover local and executor-backed stdio paths with the existing MCP test
helpers.
## Stack
```text
o #18027 [6/6] Fail exec client operations after disconnect
│
@ #18212 [5/6] Wire executor-backed MCP stdio
│
o #18087 [4/6] Abstract MCP stdio server launching
│
o #18020 [3/6] Add pushed exec process events
│
o #18086 [2/6] Support piped stdin in exec process API
│
o #18085 [1/6] Add MCP server environment config
│
o main
```
---------
Co-authored-by: Codex <noreply@openai.com>
Cap the model-visible skills section to a small share of the context
window, with a fallback character budget, and keep only as many implicit
skills as fit within that budget.
Emit a non-fatal warning when enabled skills are omitted, and add a new
app-server warning notification
Record thread-start skill metrics for total enabled skills, kept skills,
and whether truncation happened
---------
Co-authored-by: Matthew Zeng <mzeng@openai.com>
Co-authored-by: Codex <noreply@openai.com>
This is the first mechanical cleanup in a stack whose higher-level goal
is to enable Clippy coverage for async guards held across `.await`
points.
The follow-up commits enable 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. This PR handles the cases where the
underlying issue is not protected shared mutable state, but a
`tokio::sync::mpsc::UnboundedReceiver` wrapped in `Arc<Mutex<_>>` so
cloned owners can call `recv().await`.
Using a mutex for that shape forces the receiver lock guard to live
across `.await`. Switching these paths to `async-channel` gives us
cloneable `Receiver`s, so each owner can hold a receiver handle directly
and await messages without an async mutex guard.
## What changed
- In `codex-rs/code-mode`, replace the turn-message
`mpsc::UnboundedSender`/`UnboundedReceiver` plus `Arc<Mutex<Receiver>>`
with `async_channel::Sender`/`Receiver`.
- In `codex-rs/codex-api`, replace the realtime websocket event receiver
with an `async_channel::Receiver`, allowing `RealtimeWebsocketEvents`
clones to receive without locking.
- Add `async-channel` as a dependency for `codex-code-mode` and
`codex-api`, and update `Cargo.lock`.
## Verification
- The split stack was verified at the final lint-enabling head with
`just clippy`.
## 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
- adds macOS Seatbelt deny rules for unreadable glob patterns
- expands unreadable glob matches on Linux and masks them in bwrap,
including canonical symlink targets
- keeps Linux glob expansion robust when `rg` is unavailable in minimal
or Bazel test environments
- adds sandbox integration coverage that runs `shell` and `exec_command`
with a `**/*.env = none` policy and verifies the secret contents do not
reach the model
## Linux glob expansion
```text
Prefer: rg --files --hidden --no-ignore --glob <pattern> -- <search-root>
Fallback: internal globset walker when rg is not installed
Failure: any other rg failure aborts sandbox construction
```
```
[permissions.workspace.filesystem]
glob_scan_max_depth = 2
[permissions.workspace.filesystem.":project_roots"]
"**/*.env" = "none"
```
This keeps the common path fast without making sandbox construction
depend on an ambient `rg` binary. If `rg` is present but fails for
another reason, the sandbox setup fails closed instead of silently
omitting deny-read masks.
## Platform support
- macOS: subprocess sandbox enforcement is handled by Seatbelt regex
deny rules
- Linux: subprocess sandbox enforcement is handled by expanding existing
glob matches and masking them in bwrap
- Windows: policy/config/direct-tool glob support is already on `main`
from #15979; Windows subprocess sandbox paths continue to fail closed
when unreadable split filesystem carveouts require runtime enforcement,
rather than silently running unsandboxed
## Stack
1. #15979 - merged: cross-platform glob deny-read
policy/config/direct-tool support for macOS, Linux, and Windows
2. This PR - macOS/Linux subprocess sandbox enforcement plus Windows
fail-closed clarification
3. #17740 - managed deny-read requirements
## Verification
- Added integration coverage for `shell` and `exec_command` glob
deny-read enforcement
- `cargo check -p codex-sandboxing -p codex-linux-sandbox --tests`
- `cargo check -p codex-core --test all`
- `cargo clippy -p codex-linux-sandbox -p codex-sandboxing --tests`
- `just bazel-lock-check`
---------
Co-authored-by: Codex <noreply@openai.com>
## Summary
Stack PR3 for feature-gated agent identity support.
This PR adds per-thread agent task registration behind
`features.use_agent_identity`. Tasks are minted on the first real user
turn and cached in thread runtime state for later turns.
## 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 - this PR, original
task registration slice
- 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 `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.
