## Why
App-server needs a way to fetch thread-scoped config from the remote
thread config service when the user config opts into that behavior. This
mirrors the existing experimental remote thread store endpoint while
keeping local/noop behavior as the default.
Startup paths also need to avoid silently dropping the remote config
endpoint after the first config load. The stdio app-server path
discovers the endpoint from the initial config and installs the real
thread config loader for later config builds, while in-process clients
used by TUI/exec now select the same remote loader directly from their
provided config.
## What changed
- Added `experimental_thread_config_endpoint` to `ConfigToml`, `Config`,
and `core/config.schema.json`.
- Added config parsing coverage for the new setting.
- Updated app-server startup to select `RemoteThreadConfigLoader` from
the initially loaded config, falling back to `NoopThreadConfigLoader`
when unset.
- Let `ConfigManager` replace its thread config loader after startup
discovery so later config loads use the selected loader.
- Updated in-process app-server client startup to pass
`RemoteThreadConfigLoader` when its config has
`experimental_thread_config_endpoint` set.
## Verification
- Added `experimental_thread_config_endpoint_loads_from_config_toml`.
- Added
`runtime_start_args_use_remote_thread_config_loader_when_configured`.
- Ran `cargo check -p codex-app-server --lib`.
- Ran `cargo test -p codex-app-server-client`.
## Why
`multi_agent_v2` uses the v2 agent lifecycle, so accepting the legacy
`agents.max_threads` limit alongside it creates conflicting
configuration semantics. Config load should fail early with a clear
error instead of allowing both knobs to be set.
## What Changed
- During config load, detect when the effective `multi_agent_v2` feature
is enabled and `agents.max_threads` is explicitly set.
- Return an `InvalidInput` error: `agents.max_threads cannot be set when
multi_agent_v2 is enabled`.
## Verification
- `cargo test -p codex-core multi_agent_v2_rejects_agents_max_threads`
passed locally with a temporary focused test for this behavior.
- `cargo test -p codex-core` was also run; the new focused path passed,
but the crate suite has unrelated pre-existing failures in managed
config/proxy/request-permissions tests.
## Why
Enterprise and business-like ChatGPT plans should get Codex's Fast
service tier by default when the user or caller has not made an explicit
service-tier choice. At the same time, callers need a durable way to
choose standard routing without adding a new persisted `standard`
service tier value. This keeps existing config compatibility while
letting core own the managed default policy.
## What changed
- Resolve the effective service tier in core at session creation:
explicit `fast` or `flex` wins, explicit null/clear or
`[notice].fast_default_opt_out = true` resolves to standard routing, and
otherwise eligible ChatGPT plans resolve to Fast when FastMode is
enabled.
- Add `[notice].fast_default_opt_out` as the persisted opt-out marker
for managed Fast defaults.
- Treat app-server/TUI `service_tier: null` as an explicit
standard/clear choice by preserving that intent through config loading.
- Update TUI rendering to use core's effective service tier for startup
and status surfaces while still keeping `config.service_tier` as the
explicit configured choice.
- Update `/fast off` to clear `service_tier`, persist the opt-out
marker, and send explicit standard for subsequent turns.
## Verification
- Added unit coverage for config override/notice handling, service-tier
resolution, runtime null clearing, and `/fast off` turn propagation.
- `cargo build -p codex-cli`
Full test suite was not run locally per author request.
## Summary
Support the existing hooks schema in inline TOML so hooks can be
configured from both `config.toml` and enterprise-managed
`requirements.toml` without requiring a separate `hooks.json` payload.
This gives enterprise admins a way to ship managed hook policy through
the existing requirements channel while still leaving script delivery to
MDM or other device-management tooling, and it keeps `hooks.json`
working unchanged for existing users.
This also lays the groundwork for follow-on managed filtering work such
as #15937, while continuing to respect project trust gating from #14718.
It does **not** implement `allow_managed_hooks_only` itself.
NOTE: yes, it's a bit unfortunate that the toml isn't formatted as
closely as normal to our default styling. This is because we're trying
to stay compatible with the spec for plugins/hooks that we'll need to
support & the main usecase here is embedding into requirements.toml
## What changed
- moved the shared hook serde model out of `codex-rs/hooks` into
`codex-rs/config` so the same schema can power `hooks.json`, inline
`config.toml` hooks, and managed `requirements.toml` hooks
- added `hooks` support to both `ConfigToml` and
`ConfigRequirementsToml`, including requirements-side `managed_dir` /
`windows_managed_dir`
- treated requirements-managed hooks as one constrained value via
`Constrained`, so managed hook policy is merged atomically and cannot
drift across requirement sources
- updated hook discovery to load requirements-managed hooks first, then
per-layer `hooks.json`, then per-layer inline TOML hooks, with a warning
when a single layer defines both representations
- threaded managed hook metadata through discovered handlers and exposed
requirements hooks in app-server responses, generated schemas, and
`/debug-config`
- added hook/config coverage in `codex-rs/config`, `codex-rs/hooks`,
`codex-rs/core/src/config_loader/tests.rs`, and
`codex-rs/core/tests/suite/hooks.rs`
## Testing
- `cargo test -p codex-config`
- `cargo test -p codex-hooks`
- `cargo test -p codex-app-server config_api`
## Documentation
Companion updates are needed in the developers website repo for:
- the hooks guide
- the config reference, sample, basic, and advanced pages
- the enterprise managed configuration guide
---------
Co-authored-by: Michael Bolin <mbolin@openai.com>
## 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
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.
## 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
- 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**
- 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
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.
- 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
- 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.
## Description
Add requirements.toml support for `allowed_approvals_reviewers =
["user", "guardian_subagent"]`, so admins can now restrict the use of
guardian mode.
Note: If a user sets a reviewer that isn’t allowed by requirements.toml,
config loading falls back to the first allowed reviewer and emits a
startup warning.
The table below describes the possible admin controls.
| Admin intent | `requirements.toml` | User `config.toml` | End result |
|---|---|---|---|
| Leave Guardian optional | omit `allowed_approvals_reviewers` or set
`["user", "guardian_subagent"]` | user chooses `approvals_reviewer =
"user"` or `"guardian_subagent"` | Guardian off for `user`, on for
`guardian_subagent` + `approval_policy = "on-request"` |
| Force Guardian off | `allowed_approvals_reviewers = ["user"]` | any
user value | Effective reviewer is `user`; Guardian off |
| Force Guardian on | `allowed_approvals_reviewers =
["guardian_subagent"]` and usually `allowed_approval_policies =
["on-request"]` | any user reviewer value; user should also have
`approval_policy = "on-request"` unless policy is forced | Effective
reviewer is `guardian_subagent`; Guardian on when effective approval
policy is `on-request` |
| Allow both, but default to manual if user does nothing |
`allowed_approvals_reviewers = ["user", "guardian_subagent"]` | omit
`approvals_reviewer` | Effective reviewer is `user`; Guardian off |
| Allow both, and user explicitly opts into Guardian |
`allowed_approvals_reviewers = ["user", "guardian_subagent"]` |
`approvals_reviewer = "guardian_subagent"` and `approval_policy =
"on-request"` | Guardian on |
| Invalid admin config | `allowed_approvals_reviewers = []` | anything |
Config load error |
This adds an `include_environment_context` config/profile flag that
defaults on, and guards both initial injection and later environment
updates to allow skipping injection of `<environment_context>`.
This PR adds root and profile config switches to omit the generated
`<permissions instructions>` and `<apps_instructions>` prompt blocks
while keeping both enabled by default, and it gates both the initial
developer-context injection and later permissions diff injection so
turning the permissions block off stays effective across turn-context
overrides.
Also added a prompt debug tool that can be used as `codex debug
prompt-input "hello"` and dumps the constructed items list.
The `OPENAI_BASE_URL` environment variable has been a significant
support issue, so we decided to deprecate it in favor of an
`openai_base_url` config key. We've had the deprecation warning in place
for about a month, so users have had time to migrate to the new
mechanism. This PR removes support for `OPENAI_BASE_URL` entirely.
Michael Bolin