58 Commits
Author SHA1 Message Date
starr-openaiandRichard Lee 4c7228e423 [codex] Initialize exec-server OpenTelemetry at startup (#25019)
## Summary

- Initialize stderr tracing and the configured OpenTelemetry provider
for local and remote `codex exec-server` startup.
- Instrument the local and remote server entrypoints with a root runtime
span.
- Keep raw Noise environment, registration, and stream identifiers out
of exported spans while preserving them in local debug events.
- Keep telemetry setup in a focused CLI module instead of growing the
top-level command entrypoint.

## Stack

- Previous: none (`#27058` has merged)
- Next: #27466

## Validation

- `just test -p codex-exec-server --lib` (139 passed)
- `just test -p codex-cli --test exec_server` (3 passed)
- `just bazel-lock-check`
- `just fix -p codex-exec-server -p codex-cli`
- `just fmt`

---------

Co-authored-by: Richard Lee <richardlee@openai.com>
2026-06-18 11:03:42 -07:00
starr-openai 53ac02356e exec-server: canonicalize bound filesystem paths (#25149)
## Summary
- add executor filesystem canonicalization as a bound-path operation
- route remote canonicalization through the exec-server filesystem RPC
surface
- keep path normalization attached to the filesystem that owns the path

## Stack
- 2/5 in the skills path authority stack extracted from
https://github.com/openai/codex/pull/25098
- follows merged https://github.com/openai/codex/pull/25121

## Validation
- `cd
/Users/starr/code/codex-worktrees/pr-25098-restack-review-pr1b/codex-rs
&& just fmt`
- Not run: tests/checks (not requested)
- GitHub CI pending on rewritten head
2026-06-01 11:53:31 -07:00
starr-openai fb94703b21 exec-server: add environment path refs (#25121)
## Summary
- add public `codex_exec_server::EnvironmentPathRef`
- bind an absolute path to its owning executor filesystem
- keep path operations in the next review slice

## Stack
- 1/5 in the skills path authority stack extracted from
https://github.com/openai/codex/pull/25098

## Validation
- `cd /Users/starr/code/codex-worktrees/pr-25098-restack4/codex-rs &&
just fmt`
- GitHub CI pending on rewritten head
2026-06-01 10:55:52 -07:00
starr-openai a717e4ef31 exec-server: preserve fs helper CoreFoundation env (#25118)
## Summary
- preserve macOS `__CF_USER_TEXT_ENCODING` when launching the sandboxed
fs helper
- keep the fs-helper env narrow; this adds only the CoreFoundation
startup var instead of copying the broader MCP stdio baseline
- add focused coverage that the helper keeps that var without admitting
`HOME`

## Diagnosis
The sandboxed fs helper is not launched like a normal child process.
Exec-server rebuilds its environment from an allowlist, then calls
`env_clear()` before re-execing Codex with `--codex-run-as-fs-helper`.
That helper dispatches before the normal Codex startup path and only
needs to boot a small Tokio runtime, read one JSON request from stdin,
perform the direct filesystem operation, and write one JSON response.

The reported macOS hang sampled the helper before Rust main, in
CoreFoundation initialization while resolving the default text encoding:
`_CFStringGetUserDefaultEncoding -> getpwuid_r -> notify_register_check
-> bootstrap_look_up3 -> mach_msg2_trap`. The fs-helper allowlist kept
`PATH` and temp vars for runtime needs, but it dropped macOS
`__CF_USER_TEXT_ENCODING`. Other Codex subprocess launchers that
intentionally build a minimal Unix baseline, such as MCP stdio, already
preserve that variable.

My read is that stripping `__CF_USER_TEXT_ENCODING` forced this internal
helper down CoreFoundation's fallback user-lookup path, and that lookup
intermittently wedged on the affected machine before the helper could
read stdin or touch the target file. Preserving only this macOS startup
variable avoids that fallback without broadening the fs-helper
environment to shell-like vars such as `HOME`, `USER`, locale settings,
terminal settings, or proxy credentials.

Internal Slack thread omitted from the public PR body.

## Validation
- `cd codex-rs && just fmt`
- `git diff --check`
2026-05-29 12:20:17 -07:00
starr-openai de80fa6e31 Reconnect disconnected exec-server websocket clients with fresh sessions (#23867)
## Summary
- replace the one-shot lazy remote exec-server cache with a
lock-protected current client
- when the cached websocket client is already disconnected, create one
fresh websocket client/session on the next `get()`
- keep existing disconnect failure behavior for old process sessions and
HTTP body streams; do not add session resume or request retry

## Why
The prior PR direction was trying to grow into session restore: resume
the old `session_id`, preserve existing process handles, and add
reconnect retry policy. That is more machinery than we want for this
slice.

For now, the useful minimum is simpler: later fresh remote operations
should not be stuck behind a dead cached websocket client, but anything
already attached to the dead connection should fail loudly through the
existing disconnect path. The server already has detached-session
cleanup via its existing TTL, so this PR does not need to add
client-side session preservation.

## What Changed
- `LazyRemoteExecServerClient::get()` now keeps the current concrete
client in a small mutex-protected cache plus one async connect lock.
- If that cached client is still connected, `get()` returns it.
- If that cached websocket client has observed the transport close,
`get()` creates a brand-new websocket client with a brand-new
exec-server session and replaces the cache.
- If that cached client is stdio-backed, behavior stays one-shot: the
dead client is returned and later work surfaces the existing disconnect
error.
- No `resume_session_id`, backoff, request replay, or existing
`RemoteExecProcess` rebinding is added here.
- Added focused websocket coverage that proves two concurrent `get()`
calls after disconnect share one fresh replacement client/session.
2026-05-21 18:43:45 +02:00
starr-openai 298e5cfce1 Route MCP servers through explicit environments (#23583)
## Summary
- route each configured MCP server through an explicit per-server
`environment_id` instead of a manager-wide remote toggle
- default omitted `environment_id` to `local`, resolve named ids through
`EnvironmentManager`, and fail only the affected MCP server when an
explicit id is unknown
- keep local stdio on the existing local launcher path for now, while
named-environment stdio uses the selected environment backend and
requires an absolute `cwd`
- allow local HTTP MCP servers to keep using the ambient HTTP client
when no local `Environment` is configured; named-environment HTTP MCPs
use that environment's HTTP client

## Validation
- devbox Bazel build: `bazel build --bes_backend= --bes_results_url=
//codex-rs/cli:codex //codex-rs/rmcp-client:test_stdio_server
//codex-rs/rmcp-client:test_streamable_http_server`
- devbox app-server config matrix with real `config.toml` /
`environments.toml` files covering omitted local, explicit local,
omitted local under remote default, explicit remote stdio, local HTTP
without local env, explicit remote HTTP, local stdio without local env,
unknown explicit env, and remote stdio without `cwd`
2026-05-21 17:19:54 +02:00
starr-openai 64ef6cd1e4 Fan out rust-ci-full nextest by platform (#23358)
## Why

`rust-ci-full` was paying the full Cargo nextest build-and-run cost once
per platform, with Windows ARM64 as the long pole. This change moves the
heavy work into one reusable per-platform flow: build a nextest archive
once, then replay it across four shards so the platform lane spends less
time running tests serially. For Windows ARM64, the archive is
cross-compiled on Windows x64 and replayed on native Windows ARM64
shards so the slow ARM64 machine is used for execution rather than
compilation.

## What changed

- split the `rust-ci-full` nextest matrix into five explicit
per-platform reusable-workflow calls
- add `.github/workflows/rust-ci-full-nextest-platform.yml` to build one
archive, upload timings/helpers, replay four nextest shards, upload
per-shard JUnit, and roll the shard status back up per platform
- add Windows CI helpers for Dev Drive setup and MSVC ARM64 linker
environment export so the Windows ARM64 archive can be produced on
Windows x64
- keep the existing Cargo git CLI fetch hardening inside the reusable
workflow, since caller workflow-level `env` does not flow through
`workflow_call`
- document the archive-backed shard shape in
`.github/workflows/README.md`
- raise the default nextest slow timeout to 30s so the sharded full-CI
path does not treat every >15s test as stuck

## Verification

- validated the archive/shard flow with live GitHub Actions runs on this
PR branch
- Windows ARM64 cross-compile latency on completed runs:
- https://github.com/openai/codex/actions/runs/26118759651: `34m30s`
lane e2e, `17m16s` archive build, `9m55s` shard phase
- https://github.com/openai/codex/actions/runs/26120777976: `30m36s`
lane e2e, `17m21s` archive build, `6m50s` shard phase
- comparable pre-cross-compile sharded Windows ARM64 runs were `55m01s`,
`50m21s`, and `46m42s`, so the completed cross-compile runs improved the
lane by roughly `12m` to `24m` versus the prior range
- latest corrected cross-compile run:
https://github.com/openai/codex/actions/runs/26120777976
  - Windows ARM64 archive built successfully on Windows x64
- native Windows ARM64 shards started immediately after the archive
upload
- 3/4 Windows ARM64 shards passed; the failing shard hit the same
existing `code_mode` test failure seen outside this lane
- downloaded failed-shard JUnit XML from the validation runs and
confirmed the remaining red is from known test failures, not
archive/shard wiring
- no local Codex tests run per repo guidance

## Notes

- this PR does not change developers.openai.com documentation
2026-05-19 17:54:41 -07:00
starr-openai 1509ae6d8d Route local-only app-server gating through processors (#23551)
## Summary
- move local-only app-server gating out of `MessageProcessor`
- let `fs/*`, `command/exec`, and `process/spawn` resolve local
availability inside their owning processors
- keep `fs/*` mounted for the future environment-param path while
preserving current no-local error behavior

## Validation
- not run locally per Codex repo guidance
2026-05-19 14:38:03 -07:00
starr-openai 83af3abc68 Refactor exec-server websocket pump (#23327)
## Why
Exec-server websocket handling had separate reader and writer tasks for
the same socket. That made websocket control-frame handling asymmetric:
the task reading frames could observe `Ping`, but the task allowed to
write frames was elsewhere. This PR moves each physical websocket onto
one always-running pump so the socket owner can handle application
frames and websocket control frames together.

## What changed
- Refactored direct exec-server websocket connections in `connection.rs`
to use one task that owns the websocket for outbound JSON-RPC, inbound
JSON-RPC, periodic keepalive pings, and `Ping` -> `Pong` replies.
- Refactored relay websocket handling in `relay.rs` the same way for
both the harness-side logical connection and the multiplexed executor
physical socket.
- Preserved the existing keepalive ownership policy: outbound direct
websocket clients still send periodic pings, inbound Axum accepts only
reply with pongs, and relay physical websocket endpoints keep their
existing periodic pings.
- Added focused websocket pump tests for ping/pong, binary JSON-RPC,
relay data, malformed relay text frames, and close/disconnect behavior.
- Reconnect behavior is intentionally left for a follow-up.

## Validation
- Devbox Bazel focused unit target:
- `//codex-rs/exec-server:exec-server-unit-tests
--test_filter='websocket_connection_|harness_connection_|multiplexed_executor_'`
2026-05-19 13:31:57 -07:00
starr-openai 5c43a64e2b Make local environment optional in EnvironmentManager (#23369)
## Summary
- make `EnvironmentManager` local environment/runtime paths optional
- simplify constructor surface around snapshot materialization
- rename local env accessors to `require_local_environment` /
`try_local_environment`

## Validation
- devbox Bazel build for touched crate surfaces
- `//codex-rs/exec-server:exec-server-unit-tests`
- `//codex-rs/app-server-client:app-server-client-unit-tests`
- filtered touched `//codex-rs/core:core-unit-tests` cases
2026-05-19 12:55:34 -07:00
starr-openai 732b12b1ef Reduce rust-ci-full Windows nextest timeout flakes (#23253)
## Why
Recent `rust-ci-full` failures were dominated by transient Windows
timeout clusters in process-heavy tests such as `suite::resume`,
`suite::cli_stream`, `suite::auth_env`,
`start_thread_uses_all_default_environments_from_codex_home`, and
`connect_stdio_command_initializes_json_rpc_client_on_windows`.

The goal here is to make those known flaky paths less likely to fail
full CI without relaxing the global nextest timeout policy.

## What changed
- Enable one global nextest retry with `retries = 1` so a single
transient failure can recover.
- Add a `windows_process_heavy` test group with `max-threads = 2` for
the recurring Windows subprocess/session-heavy timeout families.
- Add Windows-only slow-timeout overrides for that process-heavy group.
- Add a narrower Windows-only timeout override for
`start_thread_uses_all_default_environments_from_codex_home`, which
still exceeded the broader Windows bucket in both Windows full-CI lanes.
- Increase the `rust-ci-full` nextest job timeout from `45m` to `60m` so
Windows ARM64 still has job-level headroom after retries and targeted
per-test timeout increases.
- Keep the global `slow-timeout` unchanged at `15s`.

## Validation
Validated through `rust-ci-full` GitHub Actions reruns on this PR.

Observed improvement on the tuned Windows lanes:
- Windows x64 went from `5 timed out` to `0 timed out`.
- Windows ARM64 went from `2 timed out` to `0 timed out`.
- `start_thread_uses_all_default_environments_from_codex_home` recovered
as a flaky pass on Windows ARM64 instead of timing out.

The remaining failing tests in those runs were unrelated hard failures
outside this nextest timeout tuning.
2026-05-18 13:06:39 -07:00
starr-openai 10f7dc6eb5 codex: route global AGENTS reads through LOCAL_FS (#23343)
## Summary
- make `load_global_instructions` read through an `ExecutorFileSystem`
- call global AGENTS reads with explicit `LOCAL_FS` so they stay tied to
local codex-home state

## Validation
- `bazel test --bes_backend= --bes_results_url=
--test_filter=instruction_sources_include_global_before_agents_md_docs
//codex-rs/core:core-unit-tests` on `dev`
2026-05-18 19:26:10 +00:00
starr-openai 8c14b08dd1 Upload rust full CI JUnit reports (#23273)
## Why

`rust-ci-full` failures currently leave downstream investigation
reconstructing basic test facts from raw logs. `cargo nextest` can emit
standard JUnit XML for each lane, which gives us a small structured
artifact for post-run failure analysis without changing the test
execution model.

## What changed

- enable nextest JUnit output in `codex-rs/.config/nextest.toml`
- upload the lane-scoped JUnit XML artifact from each `rust-ci-full`
test lane

## Verification

- `rust-ci-full` run `26018931531` on head
`52d77c60e79b36859d944ef28a36b014055c5c48` produced JUnit artifacts for
macOS, Linux x64 remote, Windows x64, and Windows ARM64 test lanes
- `rust-ci-full` run `26021241006` on the same head produced the missing
Linux ARM JUnit artifact after the first run lost that runner before
export
- downloaded all five lane JUnit artifacts and verified each contains
non-empty test counters and failure data
2026-05-18 11:10:37 -07:00
starr-openai 9286ff2805 Fix remote turn diff display roots (#23261)
## Why

`TurnDiffTracker` computes a display root so turn diffs can be rendered
repo-relative. For remote exec-server turns, the selected turn `cwd` may
exist only inside the selected environment, but `run_turn` was
discovering the git root through the local host filesystem. When that
lookup failed, nested remote-session diffs fell back to the nested `cwd`
and showed `/tmp/...`-prefixed paths instead of repo-relative paths.

## What changed

- Resolve the diff display root from the primary selected turn
environment when one exists, using that environment's filesystem and
`cwd`.
- Add `codex_git_utils::get_git_repo_root_with_fs(...)` so git-root
discovery can run against an `ExecutorFileSystem`, including remote
environments.
- Reuse that helper from `resolve_root_git_project_for_trust(...)` and
add coverage for `.git` gitdir-pointer detection.

## Validation

- Devbox Bazel: `//codex-rs/core:core-unit-tests
--test_filter=get_git_repo_root_with_fs_detects_gitdir_pointer`
- Devbox Docker-backed remote-env repro: `//codex-rs/core:core-all-test
--test_filter=apply_patch_turn_diff_paths_stay_repo_relative_when_session_cwd_is_nested`
2026-05-18 10:53:49 -07:00
starr-openai 64ead6a83a Add exec-server websocket keepalive (#23226)
## Summary
- send periodic websocket Ping frames from outbound exec-server
websocket clients
- cover direct exec-server websocket clients plus rendezvous
harness/executor websocket connections
- keep inbound axum-accepted exec-server websocket connections passive
- add focused keepalive coverage for direct and relay websocket paths

## Validation
- /Users/starr/code/openai/project/dotslash-gen/bin/bazel test
//codex-rs/exec-server:exec-server-unit-tests
--test_filter='websocket_connection_sends_keepalive_ping|harness_connection_sends_keepalive_ping|multiplexed_executor_sends_keepalive_ping'
- /Users/starr/code/openai/project/dotslash-gen/bin/bazel test
//codex-rs/exec-server:exec-server-relay-test
--test_filter=multiplexed_remote_executor_routes_independent_virtual_streams
2026-05-18 03:07:32 +00:00
starr-openai 7c11c14efc Fix Windows sandbox clippy clones (#22687)
## Summary
- remove two redundant `PathBuf` clones in Windows sandbox setup tests
- fix current `rust-ci-full` Windows clippy failures on `main`

## Validation
- `just fmt`
- attempted on `dev`: `cargo clippy --target x86_64-pc-windows-msvc
--tests --profile dev --timings -- -D warnings`
- blocked by missing MSVC cross toolchain on the Linux devbox (`lib.exe`
/ MSVC C toolchain unavailable)
- live failure evidence: main `rust-ci-full` runs 25880209898 and
25879137967 failed on `windows-sandbox-rs/src/bin/setup_main/win.rs`
with `clippy::redundant_clone` at the two edited callsites
2026-05-14 15:54:18 -07:00
starr-openai 32b45a43e2 tests: isolate codex home for live cli (#22563)
## Why

Some core integration-test paths were creating Codex state under ambient
`~/.codex`. In environments where `HOME=/tmp`, that showed up as
`/tmp/.codex`, which is host-level shared state and makes these tests
environment/order sensitive.

The affected paths were:

- `core/tests/suite/live_cli.rs`: `run_live()` spawned the real CLI with
a temp cwd, but without an isolated home, so the child resolved Codex
home from ambient `HOME`.
- core / exec-server integration test binaries using
`configure_test_binary_dispatch(...)`: their startup ctor installs arg0
helper aliases like `apply_patch` and `codex-linux-sandbox`. Full
`arg0_dispatch()` also installs aliases from ambient Codex-home
resolution, so test-binary startup could create `CODEX_HOME/tmp/arg0`;
with `HOME=/tmp`, that became `/tmp/.codex/tmp/arg0/...`.

## What changed

- `live_cli` now gives the spawned CLI a temp `HOME` and temp
`CODEX_HOME`.
- arg0 alias setup now has an explicit-home form,
`prepend_path_entry_for_codex_aliases_in(...)`, so test helpers can
place alias state under a temp directory without relying on ambient
`CODEX_HOME`.
- helper re-entry behavior is preserved with
`dispatch_arg0_if_needed()`, so aliases like `apply_patch` and
`codex-linux-sandbox` still dispatch correctly before test alias
installation.
- core test support keeps the temp Codex home alive for the lifetime of
the test binary, matching the alias lifetime.

## Verification

Verified on `dev2` with `HOME=/tmp` that the focused core test-binary
startup path no longer recreates `/tmp/.codex`.

Also checked the exact `live_cli` test path under `HOME=/tmp`; on `dev2`
it still hits the existing remote-only `cargo_bin("codex-rs")`
resolution failure before spawning the child, but `/tmp/.codex` remains
absent after the run.
2026-05-14 12:59:56 -07:00
starr-openai 255748638c Fix remote environment test fixtures (#22572)
## Why
The Docker remote-env coverage was failing before it reached the
behavior those tests are meant to exercise. The remote-aware test
fixture only registered the remote environment, so tests that
intentionally select both `local` and `remote` could not start a turn.
After that was fixed, two tests exposed stale fixtures: the approval
test was auto-approving under workspace-write, and the remote
`view_image` test was writing invalid PNG bytes.

## What Changed
- Added `EnvironmentManager::create_for_tests_with_local(...)` so tests
can keep the provider default while also selecting `local` explicitly.
- Updated `build_remote_aware()` to use that test-only manager when a
remote exec-server URL is present.
- Changed the remote apply-patch approval helper to use
`SandboxPolicy::new_read_only_policy()` so the test actually exercises
approval caching per environment.
- Replaced the hardcoded remote `view_image` PNG blob with the existing
`png_bytes(...)` helper so the test uses a valid image fixture.

## Validation
Ran these isolated Docker remote-env tests on the devbox with
`$remote-tests` setup:
-
`suite::remote_env::apply_patch_freeform_routes_to_selected_remote_environment`
-
`suite::remote_env::apply_patch_approvals_are_remembered_per_environment`
-
`suite::remote_env::apply_patch_intercepted_exec_command_routes_to_selected_remote_environment`
-
`suite::remote_env::exec_command_routes_to_selected_remote_environment`
- `suite::view_image::view_image_routes_to_selected_remote_environment`

All five pass.
2026-05-14 12:40:01 -07:00
starr-openai 8736e32657 tests: avoid ambient temp sandbox roots (#22576)
## Why
Some sandboxed integration tests enabled both ambient temp roots
(`TMPDIR` and literal `/tmp`) even though they were not testing
temp-root behavior. On Linux bwrap, making `/tmp` writable causes
protected metadata mount targets such as `/tmp/.git`, `/tmp/.agents`,
and `/tmp/.codex` to be synthesized. If a run is interrupted, those
top-level markers can be left behind and contaminate later tests.

## What changed
For the incidental integration tests that do not need ambient temp-root
access, set `exclude_tmpdir_env_var` and `exclude_slash_tmp` to `true`.
Dedicated protected-metadata coverage remains in the lower-level sandbox
tests that use isolated temp roots.

## Verification
Focused remote devbox repros passed with a watcher polling `/tmp/.git`,
`/tmp/.agents`, and `/tmp/.codex`; no leaked markers were observed.
2026-05-14 10:04:24 -07:00
starr-openaiandCodex d666238b40 Shard Bazel Windows tests across jobs (#22408)
## Summary
- split the single PR-blocking Bazel Windows test leg into four Windows
shard jobs
- preserve the existing required Windows Bazel check name with a
lightweight aggregate gate
- keep Linux/macOS Bazel test jobs and the separate Windows
clippy/release jobs unchanged

## Why
The ordinary PR Windows Bazel test leg was one GitHub Actions job, so
Bazel only had in-job parallelism. This gives that lane real job-level
fanout across separate Windows hosts while keeping the target set
disjoint via stable label hashing.

## Evidence
- final pre-rebase green run: `25774733562`
- Windows shard target counts: `61/212`, `48/212`, `52/212`, `51/212`
- Windows test fanout completed in about 7m29s versus a recent
monolithic median around 22m26s

## Notes
- this is scoped to the Bazel Windows test leg only
- each shard keeps the existing Windows cross-compile/RBE path and
restores the former monolithic Windows test cache
- shard jobs do not upload duplicate repository caches after test work,
keeping cache cleanup off the PR-blocking shard path
- no local validation run; relying on GitHub Actions for the
workflow-shaped check

Co-authored-by: Codex <noreply@openai.com>
2026-05-13 12:46:51 -07:00
starr-openaiandCodex 17ed5ad0b0 Apply sandbox context to local view_image reads (#21861)
## Summary
- create a selected-cwd filesystem sandbox context for view_image
metadata and file reads in both local and remote environments
- add a local restricted-profile regression test for the previously
unsandboxed read path

## Validation
- just fmt
- bazel test --bes_backend= --bes_results_url= --test_output=errors
--test_filter=view_image::tests::handle_passes_sandbox_context_for_local_filesystem_reads
//codex-rs/core:core-unit-tests

---------

Co-authored-by: Codex <noreply@openai.com>
2026-05-11 18:48:43 -07:00
starr-openaiandCodex 22e84c49d0 Support multi-environment apply_patch selection (#21617)
## Summary
- add multi-environment apply_patch routing for both freeform and
function-call tool flows
- parse and reconcile the optional environment selector in the main
apply_patch parser, then verify against the selected environment in the
handler
- carry environment_id through runtime and approval surfaces so
remote-targeted patches stay explicit end to end

## Testing
- just fmt
- remote exec-server e2e: `cargo test -p codex-core --test all
apply_patch_multi_environment_uses_remote_executor -- --nocapture` on
dev via `scripts/test-remote-env.sh`

---------

Co-authored-by: Codex <noreply@openai.com>
2026-05-11 16:33:44 -07:00
starr-openaiandCodex faa5d4a5e2 Increase exec-server environment transport timeouts (#21825)
## Why

The environment-backed exec-server transport currently hardcodes 5
second connect and initialize timeouts in `client_transport.rs`. That is
short for SSH-backed stdio environments and remote websocket
environments, and there is currently no way to raise those values from
`CODEX_HOME/environments.toml`.

This stacked follow-up raises the default environment transport timeouts
and lets each configured environment override them in
`environments.toml`.

## What Changed

- raise the default environment transport connect and initialize
timeouts from 5s to 10s
- store concrete timeout values on `ExecServerTransportParams` instead
of hardcoding them in `connect_for_transport(...)`
- add `connect_timeout_sec` and `initialize_timeout_sec` to
`[[environments]]` entries in `environments.toml`
- apply parse-time defaults so runtime transport code receives fully
resolved timeout values
- reject `connect_timeout_sec` on stdio environments because it only
applies to websocket transports
- extend parser tests to cover the new fields and defaults

## Stack

- base: https://github.com/openai/codex/pull/21794
- this PR: configurable environment transport timeouts

## Validation

- `cd
/Users/starr/code/codex-worktrees/exec-env-timeouts-config-20260508/codex-rs
&& just fmt`
- not run: tests

---------

Co-authored-by: Codex <noreply@openai.com>
2026-05-08 16:33:29 -07:00
starr-openaiandCodex dac108f2f1 Make environment provider snapshots path-free (#21794)
## Summary
- make EnvironmentProvider::snapshot path-free and keep providers
focused on provider-owned remote environments
- let provider snapshots request local inclusion via include_local, with
environments.toml including local and CODEX_EXEC_SERVER_URL excluding
local
- move reserved local environment construction into EnvironmentManager
using ExecServerRuntimePaths

Follow-up to https://github.com/openai/codex/pull/20667

## Testing
- just fmt
- git diff --check
- devbox: bazel build --bes_backend= --bes_results_url=
//codex-rs/exec-server:exec-server
- devbox: bazel test --bes_backend= --bes_results_url=
//codex-rs/exec-server:exec-server-unit-tests

Co-authored-by: Codex <noreply@openai.com>
2026-05-08 15:30:00 -07:00
starr-openaiandCodex 5f2543b74e Load configured environments from CODEX_HOME (#20667)
## Why

The earlier PRs add stdio transport support and the config-backed
environment provider, but the feature remains inert until normal Codex
entrypoints construct `EnvironmentManager` with enough context to
discover `CODEX_HOME/environments.toml`. This final stack PR activates
the provider while preserving the legacy `CODEX_EXEC_SERVER_URL`
fallback when no environments file exists.

**Stack position:** this is PR 5 of 5. It is the product wiring PR that
activates the configured environment provider added in PR 4.

## What Changed

- Thread `codex_home` into `EnvironmentManagerArgs`.
- Change `EnvironmentManager::new(...)` to load the provider from
`CODEX_HOME`.
- Preserve legacy behavior by falling back to
`DefaultEnvironmentProvider::from_env()` when `environments.toml` is
absent.
- Make `environments.toml`-backed managers start new threads with all
configured environments, default first, while keeping the legacy env-var
path single-default.
- Update the app-server, TUI, exec, MCP server, connector, prompt-debug,
and thread-manager-sample callsites to pass `codex_home` and handle
provider-loading errors.

## Self-Review Notes

- The multi-environment startup path is intentionally tied to the
`environments.toml` provider. Using `>1` configured environment as the
only signal would also expand the legacy `CODEX_EXEC_SERVER_URL`
provider because it keeps `local` addressable alongside `remote`.
- The startup environment list is still derived inside
`EnvironmentManager`; the provider only says whether its snapshot should
start new threads with all configured environments.
- The thread-manager sample was updated to pass the current
`ThreadManager::new(...)` installation id argument so the stack compiles
under Bazel.

## Stack

- 1. https://github.com/openai/codex/pull/20663 - Add stdio exec-server
listener
- 2. https://github.com/openai/codex/pull/20664 - Add stdio exec-server
client transport
- 3. https://github.com/openai/codex/pull/20665 - Make environment
providers own default selection
- 4. https://github.com/openai/codex/pull/20666 - Add CODEX_HOME
environments TOML provider
- **5. This PR:** https://github.com/openai/codex/pull/20667 - Load
configured environments from CODEX_HOME

Split from original draft: https://github.com/openai/codex/pull/20508

## Validation

- `just fmt`
- `git diff --check`
- `bazel build --config=remote --strategy=remote
--remote_download_toplevel
//codex-rs/thread-manager-sample:codex-thread-manager-sample`
- `bazel test --config=remote --strategy=remote
--remote_download_toplevel
//codex-rs/exec-server:exec-server-unit-tests`
- `bazel test --config=remote --strategy=remote
--remote_download_toplevel --test_sharding_strategy=disabled
--test_arg=default_thread_environment_selections_use_manager_default_id
//codex-rs/core:core-unit-tests`
- `bazel test --config=remote --strategy=remote
--remote_download_toplevel --test_sharding_strategy=disabled
--test_arg=start_thread_uses_all_default_environments_from_codex_home
//codex-rs/core:core-unit-tests`

## Documentation

This activates `CODEX_HOME/environments.toml`; user-facing documentation
should be added before this stack is treated as a documented public
workflow.

---------

Co-authored-by: Codex <noreply@openai.com>
2026-05-08 11:17:56 -07:00
starr-openaiandCodex 07b695190f Add CODEX_HOME environments TOML provider (#20666)
## Why

After stdio transports and provider-owned defaults exist, Codex needs a
config-backed provider that can describe more than the single legacy
`CODEX_EXEC_SERVER_URL` remote. This PR adds that provider without
activating it in product entrypoints yet, keeping parser/validation
review separate from runtime wiring.

**Stack position:** this is PR 4 of 5. It builds on PR 3's
provider/default model and adds the `environments.toml` provider used by
PR 5.

## What Changed

- Add `environment_toml.rs` as the TOML-specific home for parsing,
validation, and provider construction.
- Keep the TOML schema/provider structs private; the public constructor
added here is `EnvironmentManager::from_codex_home(...)`.
- Add `TomlEnvironmentProvider`, including validation for:
  - reserved ids such as `local` and `none`
  - duplicate ids
  - unknown explicit defaults
  - empty programs or URLs
  - exactly one of `url` or `program` per configured environment
- Support websocket environments with `url = "ws://..."` / `wss://...`.
- Support stdio-command environments with `program = "..."`.
- Add helpers to load `environments.toml` from `CODEX_HOME`, but do not
wire entrypoints to call them yet.
- Add the `toml` dependency for parsing.

## Stack

- 1. https://github.com/openai/codex/pull/20663 - Add stdio exec-server
listener
- 2. https://github.com/openai/codex/pull/20664 - Add stdio exec-server
client transport
- 3. https://github.com/openai/codex/pull/20665 - Make environment
providers own default selection
- **4. This PR:** https://github.com/openai/codex/pull/20666 - Add
CODEX_HOME environments TOML provider
- 5. https://github.com/openai/codex/pull/20667 - Load configured
environments from CODEX_HOME

Split from original draft: https://github.com/openai/codex/pull/20508

## Validation

Not run locally; this was split out of the original draft stack.

## Documentation

This introduces the config shape for `environments.toml`; user-facing
documentation should be added before this stack is treated as a
documented public workflow.

---------

Co-authored-by: Codex <noreply@openai.com>
2026-05-08 01:37:47 +00:00
starr-openai 1bfc3d9773 Route view_image through selected environments
Route view_image through selected environments so image reads use the selected turn environment and cwd, with schema exposure limited to multi-environment toolsets.\n\nCo-authored-by: Codex <noreply@openai.com>
2026-05-08 01:29:03 +00:00
starr-openaiandCodex 9669756b5f Make environment providers own default selection (#20665)
## Why

The next PR in this stack introduces configured environments, where the
provider knows both which environments exist and which one should be
selected by default. The existing manager derived the default internally
by checking for the legacy `remote` and `local` ids, and it treated
"remote" as equivalent to "has a websocket URL." That does not work
cleanly for stdio-command remotes because they are remote environments
without an `exec_server_url`.

**Stack position:** this is PR 3 of 5. It is the environment-model
bridge between PR 2's transport enum and PR 4's TOML provider.

## What Changed

- Add `DefaultEnvironmentSelection` to the `EnvironmentProvider`
contract:
  - `Derived` preserves the old `remote`-then-`local` fallback behavior.
- `Environment(id)` lets a provider explicitly select a configured
default.
- `Disabled` lets a provider intentionally expose no default
environment.
- Move the legacy `CODEX_EXEC_SERVER_URL=none` default-disabling
behavior into `DefaultEnvironmentProvider`.
- Make `EnvironmentManager` validate explicit provider defaults and
return an error if the selected id is missing.
- Track `remote_transport` separately from `exec_server_url` so
stdio-command environments are still recognized as remote.
- Add `Environment::remote_stdio_shell_command(...)` for the TOML
provider added in the next PR.

## Stack

- 1. https://github.com/openai/codex/pull/20663 - Add stdio exec-server
listener
- 2. https://github.com/openai/codex/pull/20664 - Add stdio exec-server
client transport
- **3. This PR:** https://github.com/openai/codex/pull/20665 - Make
environment providers own default selection
- 4. https://github.com/openai/codex/pull/20666 - Add CODEX_HOME
environments TOML provider
- 5. https://github.com/openai/codex/pull/20667 - Load configured
environments from CODEX_HOME

Split from original draft: https://github.com/openai/codex/pull/20508

## Validation

Not run locally; this was split out of the original draft stack.

---------

Co-authored-by: Codex <noreply@openai.com>
2026-05-08 01:00:31 +00:00
starr-openaiandCodex a3de5bde6e Add stdio exec-server client transport (#20664)
## Why

Configured environments need to connect to exec-server instances that
are not necessarily already listening on a websocket URL. A
command-backed stdio transport lets Codex start an exec-server process,
speak JSON-RPC over its stdio streams, and clean up that child process
with the client lifetime.

**Stack position:** this is PR 2 of 5. It builds on the server-side
stdio listener from PR 1 and provides the client transport used by later
environment/config PRs.

## What Changed

- Add `ExecServerTransport` variants for websocket URLs and stdio shell
commands.
- Add stdio command connection support for `ExecServerClient`.
- Move websocket/stdio transport setup into `client_transport.rs` so
`client.rs` stays focused on shared JSON-RPC client, session, HTTP, and
notification behavior.
- Tie stdio child process cleanup to the JSON-RPC connection lifetime
with a RAII lifetime guard.
- Keep existing websocket environment behavior by adapting URL-backed
remotes to `ExecServerTransport::WebSocketUrl`.

## Stack

- 1. https://github.com/openai/codex/pull/20663 - Add stdio exec-server
listener
- **2. This PR:** https://github.com/openai/codex/pull/20664 - Add stdio
exec-server client transport
- 3. https://github.com/openai/codex/pull/20665 - Make environment
providers own default selection
- 4. https://github.com/openai/codex/pull/20666 - Add CODEX_HOME
environments TOML provider
- 5. https://github.com/openai/codex/pull/20667 - Load configured
environments from CODEX_HOME

Split from original draft: https://github.com/openai/codex/pull/20508

## Validation

Not run locally; this was split out of the original draft stack and then
refactored to separate transport setup from the base client.

---------

Co-authored-by: Codex <noreply@openai.com>
2026-05-07 23:48:50 +00:00
starr-openaiandCodex 63a27ad6c6 Avoid hard-coded environment context shell (#21390)
## Summary
- make resolved turn environment shell metadata optional instead of
hard-coding bash
- render environment context shells from explicit environment metadata
when present, falling back to the existing session shell
- update environment context tests for inherited PowerShell-style
fallback and explicit per-environment shell override

## Testing
- Not run (not requested; formatted with `just fmt`).

Co-authored-by: Codex <noreply@openai.com>
2026-05-06 19:54:26 +00:00
starr-openaiandCodex 78421face0 Route process tools to selected environments (#20647)
## Why
When a turn exposes multiple selected environments, shell-style tools
need a model-facing way to identify the intended target environment and
handlers need to resolve that target before parsing cwd-relative
permission fields or launching processes.

This PR scopes that rollout to process tools. Filesystem-oriented tools
such as `apply_patch`, `view_image`, and `list_dir` are intentionally
left for follow-up slices.

## What Changed
- Adds an `include_environment_id` option to shell-style tool schema
builders.
- Exposes optional `environment_id` on `shell`, `shell_command`, and
`exec_command` only when `ToolEnvironmentMode::Multiple` is active.
- Adds a shared handler helper that parses `environment_id` and
`workdir` from JSON function-call arguments and returns the selected
`Environment` plus effective absolute cwd.
- Uses that helper in `shell`, `shell_command`, and `exec_command`
handling so process execution uses the selected environment filesystem
and cwd.
- Changes `ExecCommandRequest` to carry a required resolved `cwd`,
removing the process-manager fallback to the primary turn cwd for new
exec commands.
- Leaves `write_stdin` unchanged because it targets an existing process
id, not a new environment.

## Testing
- Added unit coverage for process-tool schema exposure, selected
environment resolution, primary fallback, no-environment handling,
unknown environment ids, and resolving cwd-relative permission paths
against the selected environment cwd.
- Added a remote-suite e2e coverage case for `exec_command` routing
across explicit zero environments, one local environment, and
local+remote environments.
- Ran `just fmt` and `git diff --check`.

---------

Co-authored-by: Codex <noreply@openai.com>
2026-05-05 12:12:03 -07:00
starr-openaiandCodex 0035d7bd18 Add stdio exec-server listener (#20663)
## Why

This stack adds configured exec-server environments, including
environments reached over stdio. Before client-side stdio transports or
config can use that path, the exec-server binary itself needs a
first-class stdio listen mode so it can speak the same JSON-RPC protocol
over stdin/stdout that it already speaks over websockets.

**Stack position:** this is PR 1 of 5. It is the server-side transport
foundation for the stack.

## What Changed

- Accept `stdio` and `stdio://` for `codex exec-server --listen`.
- Promote the existing stdio `JsonRpcConnection` helper from test-only
code into normal exec-server transport code.
- Add parse coverage for stdio listen URLs while preserving the existing
websocket default.

## Stack

- **1. This PR:** https://github.com/openai/codex/pull/20663 - Add stdio
exec-server listener
- 2. https://github.com/openai/codex/pull/20664 - Add stdio exec-server
client transport
- 3. https://github.com/openai/codex/pull/20665 - Make environment
providers own default selection
- 4. https://github.com/openai/codex/pull/20666 - Add CODEX_HOME
environments TOML provider
- 5. https://github.com/openai/codex/pull/20667 - Load configured
environments from CODEX_HOME

Split from original draft: https://github.com/openai/codex/pull/20508

## Validation

Not run locally; this was split out of the original draft stack.

---------

Co-authored-by: Codex <noreply@openai.com>
2026-05-04 11:40:03 -07:00
starr-openaiandCodex 905987c08f Prepare selected environment plumbing (#20669)
## Why
This is a prep PR in the multi-environment process-tool stack. It
separates ownership/config cleanup from the behavior change that teaches
process tools to route by selected environment, so the follow-up PR can
focus on model-facing `environment_id` behavior.

## Stack
1. https://github.com/openai/codex/pull/20646 - `EnvironmentContext`
rendering for selected environments
2. https://github.com/openai/codex/pull/20669 - selected-environment
ownership and tool config prep (this PR)
3. https://github.com/openai/codex/pull/20647 - process-tool
`environment_id` routing

## What Changed
- keep the resolved turn environment list wrapped in
`ResolvedTurnEnvironments` through `TurnContext` instead of unwrapping
it back to a raw `Vec`
- add `TurnContext::resolve_path_against` so cwd-relative path
resolution has one shared helper
- replace the old tool config boolean with `ToolEnvironmentMode::{None,
Single, Multiple}`

## Testing
- Tests not run locally; this prep refactor is covered by GitHub CI for
the stack.

Co-authored-by: Codex <noreply@openai.com>
2026-05-04 17:55:49 +00:00
starr-openaiandCodex 2952beb009 Surface multi-environment choices in environment context (#20646)
## Why
The model needs a way to see which environments are available during a
multi-environment turn without changing the legacy single-environment
prompt surface or pulling replay/persistence changes into the same
review.

## Stack
1. https://github.com/openai/codex/pull/20646 - `EnvironmentContext`
rendering for selected environments (this PR)
2. https://github.com/openai/codex/pull/20669 - selected-environment
ownership and tool config prep
3. https://github.com/openai/codex/pull/20647 - process-tool
`environment_id` routing

## What Changed
- extend `environment_context` so multi-environment turns render an
`<environments>` block with the selected environment ids and cwd values
- keep zero- and single-environment turns on the existing cwd-only
render path
- keep replay and persistence paths on the legacy surface for now so
this PR stays scoped to live prompt rendering
- add focused coverage in
`codex-rs/core/src/context/environment_context_tests.rs`

## Testing
- CI

---------

Co-authored-by: Codex <noreply@openai.com>
2026-05-01 22:11:06 +00:00
starr-openaiandCodex be71b6fcd1 Use selected turn environments for runtime context (#20281)
## Summary
- make selected turn environments the source of truth for session
runtime cwd and MCP runtime environment selection
- keep local/no-selection fallback behavior intact
- add coverage for duplicate selected environments, cwd resolution, and
MCP runtime environment selection

## Validation
- git diff --check
- rustfmt was run on touched Rust files during the implementation
workflow

CI should provide the full Bazel/test signal.

---------

Co-authored-by: Codex <noreply@openai.com>
2026-05-01 11:00:14 -07:00
starr-openaiandCodex e1ec9e63a0 Add environment provider snapshot (#20058)
## Summary
- Change `EnvironmentProvider` to return concrete `Environment`
instances instead of `EnvironmentConfigurations`.
- Make `DefaultEnvironmentProvider` provide the provider-visible `local`
environment plus optional `remote` environment from
`CODEX_EXEC_SERVER_URL`.
- Keep `EnvironmentManager` as the concrete cache while exposing its own
explicit local environment for `local_environment()` fallback paths.

## Validation
- `just fmt`
- `git diff --check`

---------

Co-authored-by: Codex <noreply@openai.com>
2026-04-28 20:05:18 -07:00
starr-openaiandCodex 4ded800374 [codex] Shard exec Bazel integration test (#19862)
## Summary

- shard `//codex-rs/exec:exec-all-test` into 8 Bazel shards
- keep the existing `no-sandbox` test tag unchanged

## Why

The Windows Bazel lane has been timing out this aggregated integration
test target at the default 300s test timeout. The target runs the
combined `codex-rs/exec/tests/all.rs` integration binary; sharding lets
Bazel split the Rust test cases across parallel test actions instead of
running the whole integration suite as one long action.

## Validation

Not run locally, per the Codex repo workflow for development-phase
changes.

Co-authored-by: Codex <noreply@openai.com>
2026-04-27 21:22:53 +00:00
starr-openaiandCodex 49fb25997f Add sticky environment API and thread state (#18897)
## Summary
- add sticky environment selections to app-server v2 thread/start and
turn/start request flow
- carry thread-level selections through core session/thread state
- add app-server coverage for sticky selections and turn overrides

## Stack
1. This PR: API and thread persistence
2. #18898: config.toml named environment loading
3. #18899: downstream tool/runtime consumers

## Validation
- Not run locally; split only.

---------

Co-authored-by: Codex <noreply@openai.com>
2026-04-23 18:57:13 -07:00
starr-openaiandCodex 1d4cc494c9 Add turn-scoped environment selections (#18416)
## Summary
- add experimental turn/start.environments params for per-turn
environment id + cwd selections
- pass selections through core protocol ops and resolve them with
EnvironmentManager before TurnContext creation
- treat omitted selections as default behavior, empty selections as no
environment, and non-empty selections as first environment/cwd as the
turn primary

## Testing
- ran `just fmt`
- ran `just write-app-server-schema`
- not run: unit tests for this stacked PR

---------

Co-authored-by: Codex <noreply@openai.com>
2026-04-21 17:48:33 -07:00
starr-openaiandCodex ddbe2536be Support multiple managed environments (#18401)
## Summary
- refactor EnvironmentManager to own keyed environments with
default/local lookup helpers
- keep remote exec-server client creation lazy until exec/fs use
- preserve disabled agent environment access separately from internal
local environment access

## Validation
- not run (per Codex worktree instruction to avoid tests/builds unless
requested)

---------

Co-authored-by: Codex <noreply@openai.com>
2026-04-21 15:29:35 -07:00
starr-openaiandCodex 63e4a900c9 exec-server: preserve fs helper runtime env (#18380)
## Summary
- preserve a small fs-helper runtime env allowlist (`PATH`, temp vars)
instead of launching the sandboxed helper with an empty env
- add unit coverage for the allowlist and transformed sandbox request
env
- add a Linux smoke test that starts the test exec-server with a fake
`bwrap` on `PATH`, runs a sandboxed fs write through the remote fs
helper path, and asserts that bwrap path was exercised

## Validation
- `cd /tmp/codex-worktrees/fs-helper-env-defaults/codex-rs && export
PATH=$HOME/code/openai/project/dotslash-gen/bin:$HOME/.local/bin:$PATH
&& bazel test --bes_backend= --bes_results_url=
//codex-rs/exec-server:exec-server-file_system-test
--test_filter=sandboxed_file_system_helper_finds_bwrap_on_preserved_path`
- `cd /tmp/codex-worktrees/fs-helper-env-defaults/codex-rs && export
PATH=$HOME/code/openai/project/dotslash-gen/bin:$HOME/.local/bin:$PATH
&& bazel test --bes_backend= --bes_results_url=
//codex-rs/exec-server:exec-server-unit-tests
--test_filter="helper_env|sandbox_exec_request_carries_helper_env"`
- earlier on this branch before the smoke-test harness adjustment: `cd
/tmp/codex-worktrees/fs-helper-env-defaults/codex-rs && export
PATH=$HOME/code/openai/project/dotslash-gen/bin:$HOME/.local/bin:$PATH
&& bazel test --bes_backend= --bes_results_url=
//codex-rs/exec-server:all`

Co-authored-by: Codex <noreply@openai.com>
2026-04-17 20:44:01 +00:00
starr-openaiandCodex 3905f72891 Throttle Windows Bazel test concurrency (#18192)
## Summary
- cap the Windows Bazel test lane at `--jobs=8` to reduce local runner
pressure
- keep Linux and macOS Bazel test concurrency unchanged
- make failed-test log tailing resolve `bazel-testlogs` with the same CI
config and Windows host-platform context as the failed invocation
- prefer Bazel-reported `test.log` paths and normalize Windows path
separators before tailing

## Context
The Windows Bazel workflow currently uses `ci-windows`, which does not
inherit the remote executor config. This means the lane runs the `//...`
test suite locally and otherwise falls back to the repo-wide `common
--jobs=30`. The new Windows-only override is intended to reduce local
executor pressure without changing coverage.

## Validation
Not run locally; this is a CI workflow change and the draft PR is
intended to exercise the GitHub Actions lane directly.

---------

Co-authored-by: Codex <noreply@openai.com>
2026-04-16 14:16:15 -07:00
starr-openaiandCodex 62847e7554 Make thread unsubscribe test deterministic (#18000)
## Summary
- replace the unsubscribe-during-turn test's sleep/polling flow with a
gated streaming SSE response
- add request-count notification support to the streaming SSE test
server so the test can wait for the in-flight Responses request
deterministically

## Scope
- codex-rs/app-server/tests/suite/v2/thread_unsubscribe.rs
- codex-rs/core/tests/common/streaming_sse.rs

## Validation
- Not run locally; this is a narrow extraction from the prior CI-green
branch.

---------

Co-authored-by: Codex <noreply@openai.com>
2026-04-16 19:34:04 +00:00
starr-openaiandCodex ba36415a30 [codex] Restore remote exec-server filesystem tests (#17989)
## Summary

- Re-enable remote variants for the exec-server filesystem
sandbox/symlink tests that were made local-only in PR #17671.
- Restore `use_remote` parameterization for the readable-root,
normalized symlink escape, symlink removal, and symlink
copy-preservation cases.
- Preserve `mode={use_remote}` context on key async filesystem failures
so CI failures point at the local or remote lane.

## Validation

- `cd codex-rs && just fmt`
- Not run: `bazel test
//codex-rs/exec-server:exec-server-file_system-test` per local Codex
development guidance to avoid test runs unless explicitly requested.

Co-authored-by: Codex <noreply@openai.com>
2026-04-15 20:48:13 +00:00
starr-openai e063596c67 Reuse remote exec-server in core tests (#17837)
## Summary
- reuse a shared remote exec-server for remote-aware codex-core
integration tests within a test binary process
- keep per-test remote cwd creation and cleanup so tests retain
workspace isolation
- leave codex_self_exe, codex_linux_sandbox_exe, cwd_path(), and
workspace_path() behavior unchanged

## Validation
- rustfmt codex-rs/core/tests/common/test_codex.rs
- git diff --check
- CI is running on the updated branch
2026-04-14 20:42:03 -07:00
starr-openaiandCodex 706f830dc6 Fix remote skill popup loading (#17702)
## Summary

Fix the TUI `$` skill popup so personal skills appear reliably when
Codex is connected to a remote app-server.

## What changed

- load skills on TUI startup with an explicit forced refresh
- refresh skills using the actual current cwd instead of an empty `cwds`
list
- resync an already-open `$` popup when skill mentions are updated
- add a regression test for refreshing an open mention popup

## Root cause

The TUI was sometimes sending `list_skills` with `cwds: []` after
`SessionConfigured`.

For the launchd app-server flow, the server resolved that empty cwd list
to its own process cwd, which was `/`. The response therefore came back
tagged with `cwd: "/"`, and the TUI later filtered skills by exact cwd
match against the actual project cwd such as `/Users/starr/code/dream`.
That dropped all personal skills from the mention list, so `$` only
showed plugins/apps.

## Verification

Built successfully with remote cache disabled:

```bash
cd /Users/starr/code/codex-worktrees/starr-skill-popup-20260413130509
bazel --output_base=/tmp/codex-bazel-verify-starr-skill-popup build //codex-rs/cli:codex --noremote_accept_cached --noremote_upload_local_results --disk_cache=
```

Also verified interactively in a PTY against the live app-server at
`ws://127.0.0.1:4511`:
- launched the built TUI
- typed `$`
- confirmed personal skills appeared in the popup, including entries
such as `Applied Devbox`, `CI Debug`, `Channel Summarization`, `Codex PR
Review`, and `Daily Digest`

## Files changed

- `codex-rs/tui/src/app.rs`
- `codex-rs/tui/src/chatwidget.rs`
- `codex-rs/tui/src/bottom_pane/chat_composer.rs`

Co-authored-by: Codex <noreply@openai.com>
2026-04-14 12:49:49 -07:00
starr-openaiandCodex c24124b37d Route apply_patch through the environment filesystem (#17674)
## Summary
- route apply_patch runtime execution through the selected Environment
filesystem instead of the local self-exec path
- keep the standalone apply_patch command surface intact while restoring
its launcher/test/docs contract
- add focused apply_patch filesystem sandbox regression coverage

## Validation
- remote devbox Bazel run in progress
- passed: //codex-rs/apply-patch:apply-patch-unit-tests
--test_filter=test_read_file_utf8_with_context_reports_invalid_utf8
- in progress / follow-up: focused core and exec Bazel test slices on
dev

## Follow-up under review
- remote pre-verification and approval/retry behavior still need
explicit scrutiny for delete/update flows
- runtime sandbox-denial classification may need a tighter assertion
path than rendered stderr matching

---------

Co-authored-by: Codex <noreply@openai.com>
2026-04-14 12:49:02 -07:00
starr-openaiandCodex 280a4a6d42 Stabilize exec-server filesystem tests in CI (#17671)
## Summary\n- add an exec-server package-local test helper binary that
can run exec-server and fs-helper flows\n- route exec-server filesystem
tests through that helper instead of cross-crate codex helper
binaries\n- stop relying on Bazel-only extra binary wiring for these
tests\n\n## Testing\n- not run (per repo guidance for codex changes)

---------

Co-authored-by: Codex <noreply@openai.com>
2026-04-13 16:53:42 -07:00
starr-openaiandCodex d626dc3895 Run exec-server fs operations through sandbox helper (#17294)
## Summary
- run exec-server filesystem RPCs requiring sandboxing through a
`codex-fs` arg0 helper over stdin/stdout
- keep direct local filesystem execution for `DangerFullAccess` and
external sandbox policies
- remove the standalone exec-server binary path in favor of top-level
arg0 dispatch/runtime paths
- add sandbox escape regression coverage for local and remote filesystem
paths

## Validation
- `just fmt`
- `git diff --check`
- remote devbox: `cd codex-rs && bazel test --bes_backend=
--bes_results_url= //codex-rs/exec-server:all` (6/6 passed)

---------

Co-authored-by: Codex <noreply@openai.com>
2026-04-12 18:36:03 -07:00
starr-openaiandCodex 49677ec71f Add top-level exec-server subcommand (#17162)
## Summary
- add a top-level `codex exec-server` subcommand, marked experimental in
CLI help
- launch an adjacent or PATH-provided `codex-exec-server`, with a
source-tree `cargo run -p codex-exec-server --` fallback
- cover the new subcommand parser path

## Validation
- `just fmt`
- `git diff --check`
- not run: Rust test suite

Co-authored-by: Codex <noreply@openai.com>

---------

Co-authored-by: Codex <noreply@openai.com>
2026-04-08 15:38:07 -07:00
starr-openaiandCodex f383cc980d Add sandbox support to filesystem APIs (#16751)
## Summary
- add optional `sandboxPolicy` support to the app-server filesystem
request surface
- thread sandbox-aware filesystem options through app-server and
exec-server adapters
- enforce sandboxed read/write access in the filesystem abstraction with
focused local and remote coverage

## Validation
- `cargo test -p codex-app-server-protocol`
- `cargo test -p codex-exec-server file_system`
- `cargo test -p codex-app-server suite::v2::fs`

---------

Co-authored-by: Codex <noreply@openai.com>
2026-04-08 12:10:48 -07:00
starr-openai 741e2fdeb8 [codex] ez - rename env=>request in codex-rs/core/src/unified_exec/process_manager.rs (#16724)
# 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.
2026-04-07 10:17:31 +01:00
starr-openai a504d8f0fa Disable env-bound tools when exec server is none (#16349)
## Summary
- make `CODEX_EXEC_SERVER_URL=none` map to an explicit disabled
environment mode instead of inferring from a missing URL
- expose environment capabilities (`exec_enabled`, `filesystem_enabled`)
so tool building can gate behavior explicitly and future
multi-environment work has a clearer seam
- suppress env-backed tools when the relevant capability is unavailable,
including exec tools, `js_repl`, `apply_patch`, `list_dir`, and
`view_image`
- keep handler/runtime backstops so disabled environments still reject
execution if a tool path somehow bypasses registration

## Testing
- `just fmt`
- `cargo test -p codex-exec-server`
- `cargo test -p codex-tools
disabled_environment_omits_environment_backed_tools`
- `cargo test -p codex-tools
environment_capabilities_gate_exec_and_filesystem_tools_independently`
- remote devbox Bazel build via `codex-applied-devbox`:
`//codex-rs/cli:cli`
2026-04-06 17:22:06 -07:00
starr-openaiandCodex 46b7e4fb2c build: restore lzma-sys Bazel wiring for devbox codex run (#16744)
## Summary
- restore the `#16634` `lzma-sys` / `xz` Bazel wiring that was reverted
from `main`
- re-enable direct Bazel linkage to `@xz//:lzma` with the `lzma-sys`
build script disabled
- restore the matching `MODULE.bazel.lock` entries

## Why
`origin/main` currently builds `//codex-rs/cli:cli` on a devbox, but
`bazel run //codex-rs/cli:codex -- --version` fails at link time on the
same remote path. Restoring `#16634` fixes that repro.

## Validation
- on `origin/main`: `bazel build --bes_backend= --bes_results_url=
//codex-rs/cli:cli` passed
- on `origin/main`: `bazel run --bes_backend= --bes_results_url=
//codex-rs/cli:codex -- --version` failed on `dev`
- after this patch on the same `dev` mirror: `bazel run --bes_backend=
--bes_results_url= //codex-rs/cli:codex -- --version` passed and printed
`codex 0.0.0`

---------

Co-authored-by: Codex <noreply@openai.com>
2026-04-06 12:21:58 -07:00
starr-openaiandCodex 6db6de031a build: fix Bazel lzma-sys wiring (#16634)
This seems to be required to fix bazel builds on an applied devbox

## Summary
- add the Bazel `xz` module
- wire `lzma-sys` directly to `@xz//:lzma` and disable its build script
- refresh `MODULE.bazel.lock`

## Validation
- `just bazel-lock-update`
- `just bazel-lock-check`
- `bazel run //codex-rs/cli:codex --run_under="cd $PWD &&" -- --version`
- `just bazel-codex --version`

Co-authored-by: Codex <noreply@openai.com>
2026-04-02 17:33:42 -07:00
starr-openaiandCodex 96a86710c3 Split exec process into local and remote implementations (#15233)
## Summary
- match the exec-process structure to filesystem PR #15232
- expose `ExecProcess` on `Environment`
- make `LocalProcess` the real implementation and `RemoteProcess` a thin
network proxy over `ExecServerClient`
- make `ProcessHandler` a thin RPC adapter delegating to `LocalProcess`
- add a shared local/remote process test

## Validation
- `just fmt`
- `CARGO_TARGET_DIR=~/.cache/cargo-target/codex cargo test -p
codex-exec-server`
- `just fix -p codex-exec-server`

---------

Co-authored-by: Codex <noreply@openai.com>
2026-03-20 03:13:08 +00:00
starr-openaiandCodex 1d210f639e Add exec-server exec RPC implementation (#15090)
Stacked PR 2/3, based on the stub PR.

Adds the exec RPC implementation and process/event flow in exec-server
only.

---------

Co-authored-by: Codex <noreply@openai.com>
2026-03-19 19:00:36 +00:00
starr-openaiandCodex 81996fcde6 Add exec-server stub server and protocol docs (#15089)
Stacked PR 1/3.

This is the initialize-only exec-server stub slice: binary/client
scaffolding and protocol docs, without exec/filesystem implementation.

---------

Co-authored-by: Codex <noreply@openai.com>
2026-03-19 00:30:05 +00:00