Commit Graph

36 Commits

Author SHA1 Message Date
jif-oai
18ad67549c feat: improve skills cache key to take into account config layering (#14806)
Fix https://github.com/openai/codex/issues/14161

This fixes sub-agent [[skills.config]] overrides being ignored when
parent and child share the same cwd. The root cause was that turn skill
loading rebuilt from cwd-only state and reused a cwd-scoped cache, so
role-local skill enable/disable overrides did not reliably affect the
spawned agent's effective skill set.

This change switches turn construction to use the effective per-turn
config and adds a config-aware skills cache keyed by skill roots plus
final disabled paths.
2026-03-16 16:12:44 +00:00
Charley Cunningham
6fdeb1d602 Reuse guardian session across approvals (#14668)
## Summary
- reuse a guardian subagent session across approvals so reviews keep a
stable prompt cache key and avoid one-shot startup overhead
- clear the guardian child history before each review so prior guardian
decisions do not leak into later approvals
- include the `smart_approvals` -> `guardian_approval` feature flag
rename in the same PR to minimize release latency on a very tight
timeline
- add regression coverage for prompt-cache-key reuse without
prior-review prompt bleed

## Request
- Bug/enhancement request: internal guardian prompt-cache and latency
improvement request

---------

Co-authored-by: Codex <noreply@openai.com>
2026-03-15 22:56:18 -07:00
viyatb-oai
6dc04df5e6 fix: persist future network host approvals across sessions (#14619)
## Summary
- apply persisted execpolicy network rules when booting the managed
network proxy
- pass the current execpolicy into managed proxy startup so host
approvals selected with "allow this host in the future" survive new
sessions
2026-03-14 02:46:10 +00:00
Charley Cunningham
bbd329a812 Fix turn context reconstruction after backtracking (#14616)
## Summary
- reuse rollout reconstruction when applying a backtrack rollback so
`reference_context_item` is restored from persisted rollout state
- build rollback replay from the flushed rollout items plus the rollback
marker, avoiding the extra reread/fallback path
- add regression coverage for rollback after compaction so turn-context
diffing stays aligned after backtracking

Co-authored-by: Codex <noreply@openai.com>
2026-03-13 19:28:31 -07:00
Michael Bolin
b859a98e0f refactor: make unified-exec zsh-fork state explicit (#14633)
## Why

The unified-exec path was carrying zsh-fork state in a partially
flattened way.

First, the decision about whether zsh-fork was active came from feature
selection in `ToolsConfig`, while the real prerequisites lived in
session state. That left the handler and runtime defending against
partially configured cases later.

Second, once zsh-fork was active, its two runtime-only paths were
threaded through the runtime as separate arguments even though they form
one coherent piece of configuration.

This change keeps unified-exec on a single session-derived source of
truth and bundles the zsh-fork-specific paths into a named config type
so the runtime can pass them around as one unit.

In particular, this PR introduces this enum so the `ZshFork` variant can
carry the appropriate state with it:

```rust
#[derive(Debug, Clone, Eq, PartialEq)]
pub enum UnifiedExecShellMode {
    Direct,
    ZshFork(ZshForkConfig),
}

#[derive(Debug, Clone, Eq, PartialEq)]
pub struct ZshForkConfig {
    pub(crate) shell_zsh_path: AbsolutePathBuf,
    pub(crate) main_execve_wrapper_exe: AbsolutePathBuf,
}
```

This cleanup was done in preparation for
https://github.com/openai/codex/pull/13432.

## What Changed

- Replaced the feature-only `UnifiedExecBackendConfig` split with
`UnifiedExecShellMode` in `codex-rs/core/src/tools/spec.rs`.
- Derived the unified-exec mode from session-backed inputs when building
turn `ToolsConfig`, and preserved that mode across model switches and
review turns.
- Introduced `ZshForkConfig`, which stores the resolved zsh-fork
`AbsolutePathBuf` values for the configured `zsh` binary and `execve`
wrapper.
- Threaded `ZshForkConfig` through unified-exec command construction and
the zsh-fork preparation path so zsh-fork-specific runtime code consumes
a single config object instead of separate path arguments.
- Added focused tests for constructing zsh-fork mode only when session
prerequisites are available, and updated the zsh-fork expectations to be
target-platform aware.

## Testing

- `cargo test -p codex-core zsh_fork --lib`


---
[//]: # (BEGIN SAPLING FOOTER)
Stack created with [Sapling](https://sapling-scm.com). Best reviewed
with [ReviewStack](https://reviewstack.dev/openai/codex/pull/14633).
* #13432
* __->__ #14633
2026-03-13 17:20:01 -07:00
Charley Cunningham
bc24017d64 Add Smart Approvals guardian review across core, app-server, and TUI (#13860)
## Summary
- add `approvals_reviewer = "user" | "guardian_subagent"` as the runtime
control for who reviews approval requests
- route Smart Approvals guardian review through core for command
execution, file changes, managed-network approvals, MCP approvals, and
delegated/subagent approval flows
- expose guardian review in app-server with temporary unstable
`item/autoApprovalReview/{started,completed}` notifications carrying
`targetItemId`, `review`, and `action`
- update the TUI so Smart Approvals can be enabled from `/experimental`,
aligned with the matching `/approvals` mode, and surfaced clearly while
reviews are pending or resolved

## Runtime model
This PR does not introduce a new `approval_policy`.

Instead:
- `approval_policy` still controls when approval is needed
- `approvals_reviewer` controls who reviewable approval requests are
routed to:
  - `user`
  - `guardian_subagent`

`guardian_subagent` is a carefully prompted reviewer subagent that
gathers relevant context and applies a risk-based decision framework
before approving or denying the request.

The `smart_approvals` feature flag is a rollout/UI gate. Core runtime
behavior keys off `approvals_reviewer`.

When Smart Approvals is enabled from the TUI, it also switches the
current `/approvals` settings to the matching Smart Approvals mode so
users immediately see guardian review in the active thread:
- `approval_policy = on-request`
- `approvals_reviewer = guardian_subagent`
- `sandbox_mode = workspace-write`

Users can still change `/approvals` afterward.

Config-load behavior stays intentionally narrow:
- plain `smart_approvals = true` in `config.toml` remains just the
rollout/UI gate and does not auto-set `approvals_reviewer`
- the deprecated `guardian_approval = true` alias migration does
backfill `approvals_reviewer = "guardian_subagent"` in the same scope
when that reviewer is not already configured there, so old configs
preserve their original guardian-enabled behavior

ARC remains a separate safety check. For MCP tool approvals, ARC
escalations now flow into the configured reviewer instead of always
bypassing guardian and forcing manual review.

## Config stability
The runtime reviewer override is stable, but the config-backed
app-server protocol shape is still settling.

- `thread/start`, `thread/resume`, and `turn/start` keep stable
`approvalsReviewer` overrides
- the config-backed `approvals_reviewer` exposure returned via
`config/read` (including profile-level config) is now marked
`[UNSTABLE]` / experimental in the app-server protocol until we are more
confident in that config surface

## App-server surface
This PR intentionally keeps the guardian app-server shape narrow and
temporary.

It adds generic unstable lifecycle notifications:
- `item/autoApprovalReview/started`
- `item/autoApprovalReview/completed`

with payloads of the form:
- `{ threadId, turnId, targetItemId, review, action? }`

`review` is currently:
- `{ status, riskScore?, riskLevel?, rationale? }`
- where `status` is one of `inProgress`, `approved`, `denied`, or
`aborted`

`action` carries the guardian action summary payload from core when
available. This lets clients render temporary standalone pending-review
UI, including parallel reviews, even when the underlying tool item has
not been emitted yet.

These notifications are explicitly documented as `[UNSTABLE]` and
expected to change soon.

This PR does **not** persist guardian review state onto `thread/read`
tool items. The intended follow-up is to attach guardian review state to
the reviewed tool item lifecycle instead, which would improve
consistency with manual approvals and allow thread history / reconnect
flows to replay guardian review state directly.

## TUI behavior
- `/experimental` exposes the rollout gate as `Smart Approvals`
- enabling it in the TUI enables the feature and switches the current
session to the matching Smart Approvals `/approvals` mode
- disabling it in the TUI clears the persisted `approvals_reviewer`
override when appropriate and returns the session to default manual
review when the effective reviewer changes
- `/approvals` still exposes the reviewer choice directly
- the TUI renders:
- pending guardian review state in the live status footer, including
parallel review aggregation
  - resolved approval/denial state in history

## Scope notes
This PR includes the supporting core/runtime work needed to make Smart
Approvals usable end-to-end:
- shell / unified-exec / apply_patch / managed-network / MCP guardian
review
- delegated/subagent approval routing into guardian review
- guardian review risk metadata and action summaries for app-server/TUI
- config/profile/TUI handling for `smart_approvals`, `guardian_approval`
alias migration, and `approvals_reviewer`
- a small internal cleanup of delegated approval forwarding to dedupe
fallback paths and simplify guardian-vs-parent approval waiting (no
intended behavior change)

Out of scope for this PR:
- redesigning the existing manual approval protocol shapes
- persisting guardian review state onto app-server `ThreadItem`s
- delegated MCP elicitation auto-review (the current delegated MCP
guardian shim only covers the legacy `RequestUserInput` path)

---------

Co-authored-by: Codex <noreply@openai.com>
2026-03-13 15:27:00 -07:00
Owen Lin
014e19510d feat(app-server, core): add more spans (#14479)
## Description

This PR expands tracing coverage across app-server thread startup, core
session initialization, and the Responses transport layer. It also gives
core dispatch spans stable operation-specific names so traces are easier
to follow than the old generic `submission_dispatch` spans.

Also use `fmt::Display` for types that we serialize in traces so we send
strings instead of rust types
2026-03-13 13:16:33 -07:00
Won Park
958f93f899 sending back imagaegencall response back to responseapi (#14558)
Sending back the ResponseItem::ImageGenerationCall as is, because it is
now supported from the API-side.
2026-03-13 17:29:19 +00:00
iceweasel-oai
6b3d82daca Use a private desktop for Windows sandbox instead of Winsta0\Default (#14400)
## Summary
- launch Windows sandboxed children on a private desktop instead of
`Winsta0\Default`
- make private desktop the default while keeping
`windows.sandbox_private_desktop=false` as the escape hatch
- centralize process launch through the shared
`create_process_as_user(...)` path
- scope the private desktop ACL to the launching logon SID

## Why
Today sandboxed Windows commands run on the visible shared desktop. That
leaves an avoidable same-desktop attack surface for window interaction,
spoofing, and related UI/input issues. This change moves sandboxed
commands onto a dedicated per-launch desktop by default so the sandbox
no longer shares `Winsta0\Default` with the user session.

The implementation stays conservative on security with no silent
fallback back to `Winsta0\Default`

If private-desktop setup fails on a machine, users can still opt out
explicitly with `windows.sandbox_private_desktop=false`.

## Validation
- `cargo build -p codex-cli`
- elevated-path `codex exec` desktop-name probe returned
`CodexSandboxDesktop-*`
- elevated-path `codex exec` smoke sweep for shell commands, nested
`pwsh`, jobs, and hidden `notepad` launch
- unelevated-path full private-desktop compatibility sweep via `codex
exec` with `-c windows.sandbox=unelevated`
2026-03-13 10:13:39 -07:00
Jack Mousseau
7c7e267501 Simplify permissions available in request permissions tool (#14529) 2026-03-12 21:13:17 -07:00
Jack Mousseau
b7dba72dbd Rename reject approval policy to granular (#14516) 2026-03-12 16:38:04 -07:00
Jack Mousseau
a314c7d3ae Decouple request permissions feature and tool (#14426) 2026-03-12 14:47:08 -07:00
pakrym-oai
f6c6128fc7 Support waiting for code_mode sessions (#14295)
## Summary
- persist the code mode runner process in the session-scoped code mode
store
- switch the runner protocol from `init` to `start` with explicit
session ids
- handle runner-side session processing without the init waiter queue

## Validation
- just fmt
- cargo check -p codex-core
- node --check codex-rs/core/src/tools/code_mode_runner.cjs
2026-03-11 23:13:54 -07:00
Matthew Zeng
ba5b94287e [apps] Add tool_suggest tool. (#14287)
- [x] Add tool_suggest tool.
- [x] Move chatgpt/src/connectors.rs and core/src/connectors.rs into a
dedicated mod so that we have all the logic and global cache in one
place.
- [x] Update TUI app link view to support rendering the installation
view for mcp elicitation.

---------

Co-authored-by: Shaqayeq <shaqayeq@openai.com>
Co-authored-by: Eric Traut <etraut@openai.com>
Co-authored-by: pakrym-oai <pakrym@openai.com>
Co-authored-by: Ahmed Ibrahim <aibrahim@openai.com>
Co-authored-by: guinness-oai <guinness@openai.com>
Co-authored-by: Eugene Brevdo <ebrevdo@users.noreply.github.com>
Co-authored-by: Charlie Guo <cguo@openai.com>
Co-authored-by: Fouad Matin <fouad@openai.com>
Co-authored-by: Fouad Matin <169186268+fouad-openai@users.noreply.github.com>
Co-authored-by: xl-openai <xl@openai.com>
Co-authored-by: alexsong-oai <alexsong@openai.com>
Co-authored-by: Owen Lin <owenlin0@gmail.com>
Co-authored-by: sdcoffey <stevendcoffey@gmail.com>
Co-authored-by: Codex <noreply@openai.com>
Co-authored-by: Won Park <won@openai.com>
Co-authored-by: Dylan Hurd <dylan.hurd@openai.com>
Co-authored-by: celia-oai <celia@openai.com>
Co-authored-by: gabec-openai <gabec@openai.com>
Co-authored-by: joeytrasatti-openai <joey.trasatti@openai.com>
Co-authored-by: Leo Shimonaka <leoshimo@openai.com>
Co-authored-by: Rasmus Rygaard <rasmus@openai.com>
Co-authored-by: maja-openai <163171781+maja-openai@users.noreply.github.com>
Co-authored-by: pash-openai <pash@openai.com>
Co-authored-by: Josh McKinney <joshka@openai.com>
2026-03-11 22:06:59 -07:00
Owen Lin
5bc82c5b93 feat(app-server): propagate traces across tasks and core ops (#14387)
## Summary

This PR keeps app-server RPC request trace context alive for the full
lifetime of the work that request kicks off (e.g. for `thread/start`,
this is `app-server rpc handler -> tokio background task -> core op
submissions`). Previously we lose trace lineage once the request handler
returns or hands work off to background tasks.

This approach is especially relevant for `thread/start` and other RPC
handlers that run in a non-blocking way. In the near future we'll most
likely want to make all app-server handlers run in a non-blocking way by
default, and only queue operations that must operate in order (e.g.
thread RPCs per thread?), so we want to make sure tracing in app-server
just generally works.

Depends on https://github.com/openai/codex/pull/14300

**Before**
<img width="155" height="207" alt="image"
src="https://github.com/user-attachments/assets/c9487459-36f1-436c-beb7-fafeb40737af"
/>


**After**
<img width="299" height="337" alt="image"
src="https://github.com/user-attachments/assets/727392b2-d072-4427-9dc4-0502d8652dea"
/>

## What changed

- Keep request-scoped trace context around until we send the final
response or error, or the connection closes.
- Thread that trace context through detached `thread/start` work so
background startup stays attached to the originating request.
- Pass request trace context through to downstream core operations,
including:
  - thread creation
  - resume/fork flows
  - turn submission
  - review
  - interrupt
  - realtime conversation operations
- Add tracing tests that verify:
  - remote W3C trace context is preserved for `thread/start`
  - remote W3C trace context is preserved for `turn/start`
  - downstream core spans stay under the originating request span
  - request-scoped tracing state is cleaned up correctly
- Clean up shutdown behavior so detached background tasks and spawned
threads are drained before process exit.
2026-03-11 20:18:31 -07:00
Anton Panasenko
77b0c75267 feat: search_tool migrate to bring you own tool of Responses API (#14274)
## Why

to support a new bring your own search tool in Responses
API(https://developers.openai.com/api/docs/guides/tools-tool-search#client-executed-tool-search)
we migrating our bm25 search tool to use official way to execute search
on client and communicate additional tools to the model.

## What
- replace the legacy `search_tool_bm25` flow with client-executed
`tool_search`
- add protocol, SSE, history, and normalization support for
`tool_search_call` and `tool_search_output`
- return namespaced Codex Apps search results and wire namespaced
follow-up tool calls back into MCP dispatch
2026-03-11 17:51:51 -07:00
Charley Cunningham
f5bb338fdb Defer initial context insertion until the first turn (#14313)
## Summary
- defer fresh-session `build_initial_context()` until the first real
turn instead of seeding model-visible context during startup
- rely on the existing `reference_context_item == None` turn-start path
to inject full initial context on that first real turn (and again after
baseline resets such as compaction)
- add a regression test for `InitialHistory::New` and update affected
deterministic tests / snapshots around developer-message layout,
collaboration instructions, personality updates, and compact request
shapes

## Notes
- this PR does not add any special empty-thread `/compact` behavior
- most of the snapshot churn is the direct result of moving the initial
model-visible context from startup to the first real turn, so first-turn
request layouts no longer contain a pre-user startup copy of permissions
/ environment / other developer-visible context
- remote manual `/compact` with no prior user still skips the remote
compact request; local first-turn `/compact` still issues a compact
request, but that request now reflects the lack of startup-seeded
context

---------

Co-authored-by: Codex <noreply@openai.com>
2026-03-11 12:33:10 -07:00
Ahmed Ibrahim
8f8a0f55ce spawn prompt (#14362)
# External (non-OpenAI) Pull Request Requirements

Before opening this Pull Request, please read the dedicated
"Contributing" markdown file or your PR may be closed:
https://github.com/openai/codex/blob/main/docs/contributing.md

If your PR conforms to our contribution guidelines, replace this text
with a detailed and high quality description of your changes.

Include a link to a bug report or enhancement request.
2026-03-11 12:33:10 -07:00
Celia Chen
c1a424691f chore: add a separate reject-policy flag for skill approvals (#14271)
## Summary
- add `skill_approval` to `RejectConfig` and the app-server v2
`AskForApproval::Reject` payload so skill-script prompts can be
configured independently from sandbox and rule-based prompts
- update Unix shell escalation to reject prompts based on the actual
decision source, keeping prefix rules tied to `rules`, unmatched command
fallbacks tied to `sandbox_approval`, and skill scripts tied to
`skill_approval`
- regenerate the affected protocol/config schemas and expand
unit/integration coverage for the new flag and skill approval behavior
2026-03-11 12:33:09 -07:00
pakrym-oai
83b22bb612 Add store/load support for code mode (#14259)
adds support for transferring state across code mode invocations.
2026-03-11 12:33:09 -07:00
pakrym-oai
ee8f84153e Add output schema to MCP tools and expose MCP tool results in code mode (#14236)
Summary
- drop `McpToolOutput` in favor of `CallToolResult`, moving its helpers
to keep MCP tooling focused on the final result shape
- wire the new schema definitions through code mode, context, handlers,
and spec modules so MCP tools serialize the exact output shape expected
by the model
- extend code mode tests to cover multiple MCP call scenarios and ensure
the serialized data matches the new schema
- refresh JS runner helpers and protocol models alongside the schema
changes

Testing
- Not run (not requested)
2026-03-11 12:33:08 -07:00
Won Park
722e8f08e1 unifying all image saves to /tmp to bug-proof (#14149)
image-gen feature will have the model saving to /tmp by default + at all
times
2026-03-11 12:33:08 -07:00
pakrym-oai
c4d35084f5 Reuse McpToolOutput in McpHandler (#14229)
We already have a type to represent the MCP tool output, reuse it
instead of the custom McpHandlerOutput
2026-03-11 12:33:07 -07:00
Channing Conger
c6343e0649 Implemented thread-level atomic elicitation counter for stopwatch pausing (#12296)
### Purpose
While trying to build out CLI-Tools for the agent to use under skills we
have found that those tools sometimes need to invoke a user elicitation.
These elicitations are handled out of band of the codex app-server but
need to indicate to the exec manager that the command running is not
going to progress on the usual timeout horizon.

### Example
Model calls universal exec:
`$ download-credit-card-history --start-date 2026-01-19 --end-date
2026-02-19 > credit_history.jsonl`

download-cred-card-history might hit a hosted/preauthenticated service
to fetch data. That service might decide that the request requires an
end user approval the access to the personal data. It should be able to
signal to the running thread that the command in question is blocked on
user elicitation. In that case we want the exec to continue, but the
timeout to not expire on the tool call, essentially freezing time until
the user approves or rejects the command at which point the tool would
signal the app-server to decrement the outstanding elicitation count.
Now timeouts would proceed as normal.

### What's Added

- New v2 RPC methods:
    - thread/increment_elicitation
    - thread/decrement_elicitation
- Protocol updates in:
    - codex-rs/app-server-protocol/src/protocol/common.rs
    - codex-rs/app-server-protocol/src/protocol/v2.rs
- App-server handlers wired in:
    - codex-rs/app-server/src/codex_message_processor.rs

### Behavior

- Counter starts at 0 per thread.
- increment atomically increases the counter.
- decrement atomically decreases the counter; decrement at 0 returns
invalid request.
- Transition rules:
- 0 -> 1: broadcast pause state, pausing all active stopwatches
immediately.
    - \>0 -> >0: remain paused.
    - 1 -> 0: broadcast unpause state, resuming stopwatches.
- Core thread/session logic:
    - codex-rs/core/src/codex_thread.rs
    - codex-rs/core/src/codex.rs
    - codex-rs/core/src/mcp_connection_manager.rs

### Exec-server stopwatch integration

- Added centralized stopwatch tracking/controller:
    - codex-rs/exec-server/src/posix/stopwatch_controller.rs
- Hooked pause/unpause broadcast handling + stopwatch registration:
    - codex-rs/exec-server/src/posix/mcp.rs
    - codex-rs/exec-server/src/posix/stopwatch.rs
    - codex-rs/exec-server/src/posix.rs
2026-03-09 22:29:26 -07:00
xl-openai
0c33af7746 feat: support disabling bundled system skills (#13792)
Support disable bundled system skills with a config:

[skills.bundled]
enabled = false
2026-03-09 22:02:53 -07:00
pakrym-oai
d71e042694 Enforce single tool output type in codex handlers (#14157)
We'll need to associate output schema with each tool. Each tool can only
have on output type.
2026-03-09 21:49:44 -07:00
Andrei Eternal
244b2d53f4 start of hooks engine (#13276)
(Experimental)

This PR adds a first MVP for hooks, with SessionStart and Stop

The core design is:

- hooks live in a dedicated engine under codex-rs/hooks
- each hook type has its own event-specific file
- hook execution is synchronous and blocks normal turn progression while
running
- matching hooks run in parallel, then their results are aggregated into
a normalized HookRunSummary

On the AppServer side, hooks are exposed as operational metadata rather
than transcript-native items:

- new live notifications: hook/started, hook/completed
- persisted/replayed hook results live on Turn.hookRuns
- we intentionally did not add hook-specific ThreadItem variants

Hooks messages are not persisted, they remain ephemeral. The context
changes they add are (they get appended to the user's prompt)
2026-03-10 04:11:31 +00:00
pakrym-oai
aa04ea6bd7 Refactor tool output into trait implementations (#14152)
First state to making tool outputs strongly typed (and `renderable`).
2026-03-09 19:38:32 -07:00
viyatb-oai
b0cbc25a48 fix(protocol): preserve legacy workspace-write semantics (#13957)
## Summary
This is a fast follow to the initial `[permissions]` structure.

- keep the new split-policy carveout behavior for narrower non-write
entries under broader writable roots
- preserve legacy `WorkspaceWrite` semantics by using a cwd-aware bridge
that drops only redundant nested readable roots when projecting from
`SandboxPolicy`
- route the legacy macOS seatbelt adapter through that same legacy
bridge so redundant nested readable roots do not become read-only
carveouts on macOS
- derive the legacy bridge for `command_exec` using the sandbox root cwd
rather than the request cwd so policy derivation matches later sandbox
enforcement
- add regression coverage for the legacy macOS nested-readable-root case

## Examples
### Legacy `workspace-write` on macOS
A legacy `workspace-write` policy can redundantly list a nested readable
root under an already-writable workspace root.

For example, legacy config can effectively mean:
- workspace root (`.` / `cwd`) is writable
- `docs/` is also listed in `readable_roots`

The new shared split-policy helper intentionally treats a narrower
non-write entry under a broader writable root as a carveout for real
`[permissions]` configs. Without this fast follow, the unchanged macOS
seatbelt legacy adapter could project that legacy shape into a
`FileSystemSandboxPolicy` that treated `docs/` like a read-only carveout
under the writable workspace root. In practice, legacy callers on macOS
could unexpectedly lose write access inside `docs/`, even though that
path was writable before the `[permissions]` migration work.

This change fixes that by routing the legacy seatbelt path through the
cwd-aware legacy bridge, so:
- legacy `workspace-write` keeps `docs/` writable when `docs/` was only
a redundant readable root
- explicit `[permissions]` entries like `'.' = 'write'` and `'docs' =
'read'` still make `docs/` read-only, which is the new intended
split-policy behavior

### Legacy `command_exec` with a subdirectory cwd
`command_exec` can run a command from a request cwd that is narrower
than the sandbox root cwd.

For example:
- sandbox root cwd is `/repo`
- request cwd is `/repo/subdir`
- legacy policy is still `workspace-write` rooted at `/repo`

Before this fast follow, `command_exec` derived the legacy bridge using
the request cwd, but the sandbox was later built using the sandbox root
cwd. That mismatch could miss redundant legacy readable roots during
projection and accidentally reintroduce read-only carveouts for paths
that should still be writable under the legacy model.

This change fixes that by deriving the legacy bridge with the same
sandbox root cwd that sandbox enforcement later uses.

## Verification
- `just fmt`
- `cargo test -p codex-core
seatbelt_legacy_workspace_write_nested_readable_root_stays_writable`
- `cargo test -p codex-core test_sandbox_config_parsing`
- `cargo clippy -p codex-core -p codex-app-server --all-targets -- -D
warnings`
- `cargo clean`
2026-03-09 18:43:27 -07:00
Dylan Hurd
6da84efed8 feat(approvals) RejectConfig for request_permissions (#14118)
## Summary
We need to support allowing request_permissions calls when using
`Reject` policy

<img width="1133" height="588" alt="Screenshot 2026-03-09 at 12 06
40 PM"
src="https://github.com/user-attachments/assets/a8df987f-c225-4866-b8ab-5590960daec5"
/>

Note that this is a backwards-incompatible change for Reject policy. I'm
not sure if we need to add a default based on our current use/setup

## Testing
- [x] Added tests
- [x] Tested locally
2026-03-09 18:16:54 -07:00
Dylan Hurd
d241dc598c feat(core) Persist request_permission data across turns (#14009)
## Summary
request_permissions flows should support persisting results for the
session.

Open Question: Still deciding if we need within-turn approvals - this
adds complexity but I could see it being useful

## Testing
- [x] Updated unit tests

---------

Co-authored-by: Codex <noreply@openai.com>
2026-03-09 14:36:38 -07:00
Jack Mousseau
e6b93841c5 Add request permissions tool (#13092)
Adds a built-in `request_permissions` tool and wires it through the
Codex core, protocol, and app-server layers so a running turn can ask
the client for additional permissions instead of relying on a static
session policy.

The new flow emits a `RequestPermissions` event from core, tracks the
pending request by call ID, forwards it through app-server v2 as an
`item/permissions/requestApproval` request, and resumes the tool call
once the client returns an approved subset of the requested permission
profile.
2026-03-08 20:23:06 -07:00
Charley Cunningham
e84ee33cc0 Add guardian approval MVP (#13692)
## Summary
- add the guardian reviewer flow for `on-request` approvals in command,
patch, sandbox-retry, and managed-network approval paths
- keep guardian behind `features.guardian_approval` instead of exposing
a public `approval_policy = guardian` mode
- route ordinary `OnRequest` approvals to the guardian subagent when the
feature is enabled, without changing the public approval-mode surface

## Public model
- public approval modes stay unchanged
- guardian is enabled via `features.guardian_approval`
- when that feature is on, `approval_policy = on-request` keeps the same
approval boundaries but sends those approval requests to the guardian
reviewer instead of the user
- `/experimental` only persists the feature flag; it does not rewrite
`approval_policy`
- CLI and app-server no longer expose a separate `guardian` approval
mode in this PR

## Guardian reviewer
- the reviewer runs as a normal subagent and reuses the existing
subagent/thread machinery
- it is locked to a read-only sandbox and `approval_policy = never`
- it does not inherit user/project exec-policy rules
- it prefers `gpt-5.4` when the current provider exposes it, otherwise
falls back to the parent turn's active model
- it fail-closes on timeout, startup failure, malformed output, or any
other review error
- it currently auto-approves only when `risk_score < 80`

## Review context and policy
- guardian mirrors `OnRequest` approval semantics rather than
introducing a separate approval policy
- explicit `require_escalated` requests follow the same approval surface
as `OnRequest`; the difference is only who reviews them
- managed-network allowlist misses that enter the approval flow are also
reviewed by guardian
- the review prompt includes bounded recent transcript history plus
recent tool call/result evidence
- transcript entries and planned-action strings are truncated with
explicit `<guardian_truncated ... />` markers so large payloads stay
bounded
- apply-patch reviews include the full patch content (without
duplicating the structured `changes` payload)
- the guardian request layout is snapshot-tested using the same
model-visible Responses request formatter used elsewhere in core

## Guardian network behavior
- the guardian subagent inherits the parent session's managed-network
allowlist when one exists, so it can use the same approved network
surface while reviewing
- exact session-scoped network approvals are copied into the guardian
session with protocol/port scope preserved
- those copied approvals are now seeded before the guardian's first turn
is submitted, so inherited approvals are available during any immediate
review-time checks

## Out of scope / follow-ups
- the sandbox-permission validation split was pulled into a separate PR
and is not part of this diff
- a future follow-up can enable `serde_json` preserve-order in
`codex-core` and then simplify the guardian action rendering further

---------

Co-authored-by: Codex <noreply@openai.com>
2026-03-07 05:40:10 -08:00
Michael Bolin
22ac6b9aaa sandboxing: plumb split sandbox policies through runtime (#13439)
## Why

`#13434` introduces split `FileSystemSandboxPolicy` and
`NetworkSandboxPolicy`, but the runtime still made most execution-time
sandbox decisions from the legacy `SandboxPolicy` projection.

That projection loses information about combinations like unrestricted
filesystem access with restricted network access. In practice, that
means the runtime can choose the wrong platform sandbox behavior or set
the wrong network-restriction environment for a command even when config
has already separated those concerns.

This PR carries the split policies through the runtime so sandbox
selection, process spawning, and exec handling can consult the policy
that actually matters.

## What changed

- threaded `FileSystemSandboxPolicy` and `NetworkSandboxPolicy` through
`TurnContext`, `ExecRequest`, sandbox attempts, shell escalation state,
unified exec, and app-server exec overrides
- updated sandbox selection in `core/src/sandboxing/mod.rs` and
`core/src/exec.rs` to key off `FileSystemSandboxPolicy.kind` plus
`NetworkSandboxPolicy`, rather than inferring behavior only from the
legacy `SandboxPolicy`
- updated process spawning in `core/src/spawn.rs` and the platform
wrappers to use `NetworkSandboxPolicy` when deciding whether to set
`CODEX_SANDBOX_NETWORK_DISABLED`
- kept additional-permissions handling and legacy `ExternalSandbox`
compatibility projections aligned with the split policies, including
explicit user-shell execution and Windows restricted-token routing
- updated callers across `core`, `app-server`, and `linux-sandbox` to
pass the split policies explicitly

## Verification

- added regression coverage in `core/tests/suite/user_shell_cmd.rs` to
verify `RunUserShellCommand` does not inherit
`CODEX_SANDBOX_NETWORK_DISABLED` from the active turn
- added coverage in `core/src/exec.rs` for Windows restricted-token
sandbox selection when the legacy projection is `ExternalSandbox`
- updated Linux sandbox coverage in
`linux-sandbox/tests/suite/landlock.rs` to exercise the split-policy
exec path
- verified the current PR state with `just clippy`




---
[//]: # (BEGIN SAPLING FOOTER)
Stack created with [Sapling](https://sapling-scm.com). Best reviewed
with [ReviewStack](https://reviewstack.dev/openai/codex/pull/13439).
* #13453
* #13452
* #13451
* #13449
* #13448
* #13445
* #13440
* __->__ #13439

---------

Co-authored-by: viyatb-oai <viyatb@openai.com>
2026-03-07 02:30:21 +00:00
Owen Lin
289ed549cf chore(otel): rename OtelManager to SessionTelemetry (#13808)
## Summary
This is a purely mechanical refactor of `OtelManager` ->
`SessionTelemetry` to better convey what the struct is doing. No
behavior change.

## Why

`OtelManager` ended up sounding much broader than what this type
actually does. It doesn't manage OTEL globally; it's the session-scoped
telemetry surface for emitting log/trace events and recording metrics
with consistent session metadata (`app_version`, `model`, `slug`,
`originator`, etc.).

`SessionTelemetry` is a more accurate name, and updating the call sites
makes that boundary a lot easier to follow.

## Validation

- `just fmt`
- `cargo test -p codex-otel`
- `cargo test -p codex-core`
2026-03-06 16:23:30 -08:00
Michael Bolin
488875f24d fix: move unit tests in codex-rs/core/src/codex.rs into their own file (#13783)
This is analogous to https://github.com/openai/codex/pull/13780.
2026-03-06 11:56:49 -08:00