## Summary
- register `in_app_browser` and `browser_use` as stable feature keys
- allow requirements/MDM feature requirements to pin those desktop
browser controls
- add coverage for browser requirements being accepted by config loading
## Testing
- `cargo fmt --all` (`just fmt` unavailable locally; rustfmt warned
about nightly-only `imports_granularity` config)
- `cargo test -p codex-features`
- `cargo test -p codex-core browser_feature_requirements_are_valid`
- Tested manually by setting in `requirements.toml` and seeing after app
restart state to reflect the setting was correct (at the time hiding the
`Browser Use` setting when the enterprise setting was set to false
## Why
`PermissionProfile` is becoming the canonical permissions shape shared
by core and app-server. After app-server responses expose the active
profile, clients need to be able to send that same shape back when
starting, resuming, forking, or overriding a turn instead of translating
through the legacy `sandbox`/`sandboxPolicy` shorthands.
This still needs to preserve the existing requirements/platform
enforcement model. A profile-shaped request can be downgraded or
rejected by constraints, but the server should keep the user's
elevated-access intent for project trust decisions. Turn-level profile
overrides also need to retain existing read protections, including
deny-read entries and bounded glob-scan metadata, so a permission
override cannot accidentally drop configured protections such as
`**/*.env = deny`.
## What changed
- Adds optional `permissionProfile` request fields to `thread/start`,
`thread/resume`, `thread/fork`, and `turn/start`.
- Rejects ambiguous requests that specify both `permissionProfile` and
the legacy `sandbox`/`sandboxPolicy` fields, including running-thread
resume requests.
- Converts profile-shaped overrides into core runtime filesystem/network
permissions while continuing to derive the constrained legacy sandbox
projection used by existing execution paths.
- Preserves project-trust intent for profile overrides that are
equivalent to workspace-write or full-access sandbox requests.
- Preserves existing deny-read entries and `globScanMaxDepth` when
applying turn-level `permissionProfile` overrides.
- Updates app-server docs plus generated JSON/TypeScript schema fixtures
and regression coverage.
## Verification
- `cargo test -p codex-app-server-protocol schema_fixtures`
- `cargo test -p codex-core
session_configuration_apply_permission_profile_preserves_existing_deny_read_entries`
---
[//]: # (BEGIN SAPLING FOOTER)
Stack created with [Sapling](https://sapling-scm.com). Best reviewed
with [ReviewStack](https://reviewstack.dev/openai/codex/pull/18279).
* #18288
* #18287
* #18286
* #18285
* #18284
* #18283
* #18282
* #18281
* #18280
* __->__ #18279
## 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.
## Why
`Permissions` should not store a separate `PermissionProfile` that can
drift from the constrained `SandboxPolicy` and network settings. The
active profile needs to be derived from the same constrained values that
already honor `requirements.toml`.
## What changed
This adds derivation of the active `PermissionProfile` from the
constrained runtime permission settings and exposes that derived value
through config snapshots and thread state. The app-server can then
report the active profile without introducing a second source of truth.
## Verification
- `cargo test -p codex-core --test all permissions_messages --
--nocapture`
- `cargo test -p codex-core --test all request_permissions --
--nocapture`
---
[//]: # (BEGIN SAPLING FOOTER)
Stack created with [Sapling](https://sapling-scm.com). Best reviewed
with [ReviewStack](https://reviewstack.dev/openai/codex/pull/18277).
* #18288
* #18287
* #18286
* #18285
* #18284
* #18283
* #18282
* #18281
* #18280
* #18279
* #18278
* __->__ #18277
## 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
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
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
Codex needs a first-class `amazon-bedrock` model provider so users can
select Bedrock without copying a full provider definition into
`config.toml`. The provider has Codex-owned defaults for the pieces that
should stay consistent across users: the display `name`, Bedrock
`base_url`, and `wire_api`.
At the same time, users still need a way to choose the AWS credential
profile used by their local environment. This change makes
`amazon-bedrock` a partially modifiable built-in provider: code owns the
provider identity and endpoint defaults, while user config can set
`model_providers.amazon-bedrock.aws.profile`.
For example:
```toml
model_provider = "amazon-bedrock"
[model_providers.amazon-bedrock.aws]
profile = "codex-bedrock"
```
## What Changed
- Added `amazon-bedrock` to the built-in model provider map with:
- `name = "Amazon Bedrock"`
- `base_url = "https://bedrock-mantle.us-east-1.api.aws/v1"`
- `wire_api = "responses"`
- Added AWS provider auth config with a profile-only shape:
`model_providers.<id>.aws.profile`.
- Kept AWS auth config restricted to `amazon-bedrock`; custom providers
that set `aws` are rejected.
- Allowed `model_providers.amazon-bedrock` through reserved-provider
validation so it can act as a partial override.
- During config loading, only `aws.profile` is copied from the
user-provided `amazon-bedrock` entry onto the built-in provider. Other
Bedrock provider fields remain hard-coded by the built-in definition.
- Updated the generated config schema for the new provider AWS profile
config.
## 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.
Fixes stale test fixtures left after the active bundled model catalog
updates in #18586 and #18388. Those changes made `gpt-5.4` the current
default and removed several older hardcoded slugs, which left Windows
Bazel shards failing TUI and config tests.
What changed:
- Refresh TUI model migration, availability NUX, plan-mode, status, and
snapshot fixtures to use active bundled model slugs.
- Update the config edit test expectation for the TOML-quoted
`"gpt-5.2"` migration key.
- Move the model catalog tests into
`codex-rs/tui/src/app/tests/model_catalog.rs` so touching them does not
trip the blob-size policy for `app.rs`.
Verification:
- CI Bazel/lint checks are expected to cover the affected test shards.
- Replace the active models-manager catalog with the deleted core
catalog contents.
- Replace stale hardcoded test model slugs with current bundled model
slugs.
- Keep this as a stacked change on top of the cleanup PR.
## 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
- 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>
## Summary
- trust-gate project `.codex` layers consistently, including repos that
have `.codex/hooks.json` or `.codex/execpolicy/*.rules` but no
`.codex/config.toml`
- keep disabled project layers in the config stack so nested trusted
project layers still resolve correctly, while preventing hooks and exec
policies from loading until the project is trusted
- update app-server/TUI onboarding copy to make the trust boundary
explicit and add regressions for loader, hooks, exec-policy, and
onboarding coverage
## Security
Before this change, an untrusted repo could auto-load project hooks or
exec policies from `.codex/` as long as `config.toml` was absent. This
makes trust the single gate for project-local config, hooks, and exec
policies.
## Stack
- Parent of #15936
## Test
- cargo test -p codex-core without_config_toml
---------
Co-authored-by: Codex <noreply@openai.com>
Rename `no_memories_if_mcp_or_web_search` →
`disable_on_external_context` with backward compatibility
While doing so, we add a key alias system on our layer merging system.
What we try to avoid is a case where a company managed config use an old
name while the user has a new name in it's local config (which would
make the deserialization fail)
## Summary
- adds managed requirements support for deny-read filesystem entries
- constrains config layers so managed deny-read requirements cannot be
widened by user-controlled config
- surfaces managed deny-read requirements through debug/config plumbing
This PR lets managed requirements inject deny-read filesystem
constraints into the effective filesystem sandbox policy.
User-controlled config can still choose the surrounding permission
profile, but it cannot remove or weaken the managed deny-read entries.
## Managed deny-read shape
A managed requirements file can declare exact paths and glob patterns
under `[permissions.filesystem]`:
```toml
# /etc/codex/requirements.toml
[permissions.filesystem]
deny_read = [
"/Users/alice/.gitconfig",
"/Users/alice/.ssh",
"./managed-private/**/*.env",
]
```
Those entries are compiled into the effective filesystem policy as
`access = none` rules, equivalent in shape to filesystem permission
entries like:
```toml
[permissions.workspace.filesystem]
"/Users/alice/.gitconfig" = "none"
"/Users/alice/.ssh" = "none"
"/absolute/path/to/managed-private/**/*.env" = "none"
```
The important difference is that the managed entries come from
requirements, so lower-precedence user config cannot remove them or make
those paths readable again.
Relative managed `deny_read` entries are resolved relative to the
directory containing the managed requirements file. Glob entries keep
their glob suffix after the non-glob prefix is normalized.
## Runtime behavior
- Managed `deny_read` entries are appended to the effective
`FileSystemSandboxPolicy` after the selected permission profile is
resolved.
- Exact paths become `FileSystemPath::Path { access: None }`; glob
patterns become `FileSystemPath::GlobPattern { access: None }`.
- When managed deny-read entries are present, `sandbox_mode` is
constrained to `read-only` or `workspace-write`; `danger-full-access`
and `external-sandbox` cannot silently bypass the managed read-deny
policy.
- On Windows, the managed deny-read policy is enforced for direct file
tools, but shell subprocess reads are not sandboxed yet, so startup
emits a warning for that platform.
- `/debug-config` shows the effective managed requirement as
`permissions.filesystem.deny_read` with its source.
## Stack
1. #15979 - glob deny-read policy/config/direct-tool support
2. #18096 - macOS and Linux sandbox enforcement
3. This PR - managed deny-read requirements
---------
Co-authored-by: Codex <noreply@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
- Add an MCP server environment setting with local as the default.
- Thread the default through config serialization, schema generation,
and existing config fixtures.
## Stack
```text
o #18027 [8/8] Fail exec client operations after disconnect
│
o #18025 [7/8] Cover MCP stdio tests with executor placement
│
o #18089 [6/8] Wire remote MCP stdio through executor
│
o #18088 [5/8] Add executor process transport for MCP stdio
│
o #18087 [4/8] Abstract MCP stdio server launching
│
o #18020 [3/8] Add pushed exec process events
│
o #18086 [2/8] Support piped stdin in exec process API
│
@ #18085 [1/8] Add MCP server environment config
│
o main
```
Co-authored-by: Codex <noreply@openai.com>
**Summary**
- prevent managed requirements.toml network settings from leaking into
DangerFullAccess / yolo turns by gating managed proxy attachment on
sandbox mode
- keep guardian/sandboxed modes on the managed proxy path, while making
true yolo bypass the proxy entirely, including /shell full-access
commands
## Why
For more advanced MCP usage, we want the model to be able to emit
parallel MCP tool calls and have Codex execute eligible ones
concurrently, instead of forcing all MCP calls through the serial block.
The main design choice was where to thread the config. I made this
server-level because parallel safety depends on the MCP server
implementation. Codex reads the flag from `mcp_servers`, threads the
opted-in server names into `ToolRouter`, and checks the parsed
`ToolPayload::Mcp { server, .. }` at execution time. That avoids relying
on model-visible tool names, which can be incomplete in
deferred/search-tool paths or ambiguous for similarly named
servers/tools.
## What was added
Added `supports_parallel_tool_calls` for MCP servers.
Before:
```toml
[mcp_servers.docs]
command = "docs-server"
```
After:
```toml
[mcp_servers.docs]
command = "docs-server"
supports_parallel_tool_calls = true
```
MCP calls remain serial by default. Only tools from opted-in servers are
eligible to run in parallel. Docs also now warn to enable this only when
the server’s tools are safe to run concurrently, especially around
shared state or read/write races.
## Testing
Tested with a local stdio MCP server exposing real delay tools. The
model/Responses side was mocked only to deterministically emit two MCP
calls in the same turn.
Each test called `query_with_delay` and `query_with_delay_2` with `{
"seconds": 25 }`.
| Build/config | Observed | Wall time |
| --- | --- | --- |
| main with flag enabled | serial | `58.79s` |
| PR with flag enabled | parallel | `31.73s` |
| PR without flag | serial | `56.70s` |
PR with flag enabled showed both tools start before either completed;
main and PR-without-flag completed the first delay before starting the
second.
Also added an integration test.
Additional checks:
- `cargo test -p codex-tools` passed
- `cargo test -p codex-core
mcp_parallel_support_uses_exact_payload_server` passed
- `git diff --check` passed
Addresses #17313
Problem: The visual context meter in the status line was confusing and
continued to draw negative feedback, and context reporting should remain
an explicit opt-in rather than part of the default footer.
Solution: Remove the visual meter, restore opt-in context remaining/used
percentage items that explicitly say "Context", keep existing
context-usage configs working as a hidden alias, and update the setup
text and snapshots.
Addresses #17302
Problem: `thread/list` compared cwd filters with raw path equality, so
`resume --last` could miss Windows sessions when the saved cwd used a
verbatim path form and the current cwd did not.
Solution: Normalize cwd comparisons through the existing path comparison
utilities before falling back to direct equality, and add Windows
regression coverage for verbatim paths. I made this a general utility
function and replaced all of the duplicated instance of it across the
code base.
## Summary
- make realtime default to the v2 WebRTC path
- keep partial realtime config tables inheriting
`RealtimeConfig::default()`
## Validation
- CI found a stale config-test expectation; fixed in 974ba51bb3
- just fmt
- git diff --check
---------
Co-authored-by: Codex <noreply@openai.com>
- Default realtime sessions to v2 and gpt-realtime-1.5 when no override
is configured.
- Add Op::RealtimeConversationStart integration coverage and keep
v1-specific tests explicit.
---------
Co-authored-by: Codex <noreply@openai.com>
Problem: TUI desktop notifications are hard-gated on terminal focus, so
terminal/IDE hosts that want in-focus notifications cannot opt in.
Solution: Add a flat `[tui] notification_condition` setting (`unfocused`
by default, `always` opt-in), carry grouped TUI notification settings
through runtime config, apply method + condition together in the TUI,
and regenerate the config schema.
When running with remote executor the cwd is the remote path. Today we
check for existence of a local directory on startup and attempt to load
config from it.
For remote executors don't do that.
Addresses #3793
Problem: /status only reported project-level AGENTS files, so sessions
with a loaded global $CODEX_HOME/AGENTS.md still showed Agents.md as
<none>.
Solution: Track the global instructions file loaded during config
initialization and prepend that path to the /status Agents.md summary,
with coverage for AGENTS.md, AGENTS.override.md, and global-plus-project
ordering.
Allow multi_agent_v2 features to have its own temporary configuration
under `[features.multi_agent_v2]`
```
[features.multi_agent_v2]
enabled = true
usage_hint_enabled = false
usage_hint_text = "Custom delegation guidance."
hide_spawn_agent_metadata = true
```
Absent `usage_hint_text` means use the default hint.
```
[features]
multi_agent_v2 = true
```
still works as the boolean shorthand.
## Summary
Fix network proxy sessions so changing sandbox mode recomputes the
effective managed network policy and applies it to the already-running
per-session proxy.
## Root Cause
`danger_full_access_denylist_only` injects `"*"` only while building the
proxy spec for Full Access. Sessions built that spec once at startup, so
a later permission switch to Full Access left the live proxy in its
original restricted policy. Switching back needed the same recompute
path to remove the synthetic wildcard again.
## What Changed
- Preserve the original managed network proxy config/requirements so the
effective spec can be recomputed for a new sandbox policy.
- Refresh the current session proxy when sandbox settings change, then
reapply exec-policy network overlays.
- Add an in-place proxy state update path while rejecting
listener/port/SOCKS changes that cannot be hot-reloaded.
- Keep runtime proxy settings cheap to snapshot and update.
- Add regression coverage for workspace-write -> Full Access ->
workspace-write.
khoiandGitHub
Michael BolinandGitHub
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efrazer-oaiandGitHub
Celia ChenandGitHub
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