2 Commits

Author	SHA1	Message	Date
Michael Bolin	bfff0c729f	config: enforce enterprise feature requirements (#13388) ... ## Why Enterprises can already constrain approvals, sandboxing, and web search through `requirements.toml` and MDM, but feature flags were still only configurable as managed defaults. That meant an enterprise could suggest feature values, but it could not actually pin them. This change closes that gap and makes enterprise feature requirements behave like the other constrained settings. The effective feature set now stays consistent with enterprise requirements during config load, when config writes are validated, and when runtime code mutates feature flags later in the session. It also tightens the runtime API for managed features. `ManagedFeatures` now follows the same constraint-oriented shape as `Constrained<T>` instead of exposing panic-prone mutation helpers, and production code can no longer construct it through an unconstrained `From<Features>` path. The PR also hardens the `compact_resume_fork` integration coverage on Windows. After the feature-management changes, `compact_resume_after_second_compaction_preserves_history` was overflowing the libtest/Tokio thread stacks on Windows, so the test now uses an explicit larger-stack harness as a pragmatic mitigation. That may not be the ideal root-cause fix, and it merits a parallel investigation into whether part of the async future chain should be boxed to reduce stack pressure instead. ## What Changed Enterprises can now pin feature values in `requirements.toml` with the requirements-side `features` table: ```toml [features] personality = true unified_exec = false ``` Only canonical feature keys are allowed in the requirements `features` table; omitted keys remain unconstrained. - Added a requirements-side pinned feature map to `ConfigRequirementsToml`, threaded it through source-preserving requirements merge and normalization in `codex-config`, and made the TOML surface use `[features]` (while still accepting legacy `[feature_requirements]` for compatibility). - Exposed `featureRequirements` from `configRequirements/read`, regenerated the JSON/TypeScript schema artifacts, and updated the app-server README. - Wrapped the effective feature set in `ManagedFeatures`, backed by `ConstrainedWithSource<Features>`, and changed its API to mirror `Constrained<T>`: `can_set(...)`, `set(...) -> ConstraintResult<()>`, and result-returning `enable` / `disable` / `set_enabled` helpers. - Removed the legacy-usage and bulk-map passthroughs from `ManagedFeatures`; callers that need those behaviors now mutate a plain `Features` value and reapply it through `set(...)`, so the constrained wrapper remains the enforcement boundary. - Removed the production loophole for constructing unconstrained `ManagedFeatures`. Non-test code now creates it through the configured feature-loading path, and `impl From<Features> for ManagedFeatures` is restricted to `#[cfg(test)]`. - Rejected legacy feature aliases in enterprise feature requirements, and return a load error when a pinned combination cannot survive dependency normalization. - Validated config writes against enterprise feature requirements before persisting changes, including explicit conflicting writes and profile-specific feature states that normalize into invalid combinations. - Updated runtime and TUI feature-toggle paths to use the constrained setter API and to persist or apply the effective post-constraint value rather than the requested value. - Updated the `core_test_support` Bazel target to include the bundled core model-catalog fixtures in its runtime data, so helper code that resolves `core/models.json` through runfiles works in remote Bazel test environments. - Renamed the core config test coverage to emphasize that effective feature values are normalized at runtime, while conflicting persisted config writes are rejected. - Ran `compact_resume_after_second_compaction_preserves_history` inside an explicit 8 MiB test thread and Tokio runtime worker stack, following the existing larger-stack integration-test pattern, to keep the Windows `compact_resume_fork` test slice from aborting while a parallel investigation continues into whether some of the underlying async futures should be boxed. ## Verification - `cargo test -p codex-config` - `cargo test -p codex-core feature_requirements_ -- --nocapture` - `cargo test -p codex-core load_requirements_toml_produces_expected_constraints -- --nocapture` - `cargo test -p codex-core compact_resume_after_second_compaction_preserves_history -- --nocapture` - `cargo test -p codex-core compact_resume_fork -- --nocapture` - Re-ran the built `codex-core` `tests/all` binary with `RUST_MIN_STACK=262144` for `compact_resume_after_second_compaction_preserves_history` to confirm the explicit-stack harness fixes the deterministic low-stack repro. - `cargo test -p codex-core` - This still fails locally in unrelated integration areas that expect the `codex` / `test_stdio_server` binaries or hit existing `search_tool` wiremock mismatches. ## Docs `developers.openai.com/codex` should document the requirements-side `[features]` table for enterprise and MDM-managed configuration, including that it only accepts canonical feature keys and that conflicting config writes are rejected.	2026-03-04 04:40:22 +00:00
zbarsky-openai	2a06d64bc9	feat: add support for building with Bazel (#8875) ... This PR configures Codex CLI so it can be built with [Bazel](https://bazel.build) in addition to Cargo. The `.bazelrc` includes configuration so that remote builds can be done using [BuildBuddy](https://www.buildbuddy.io). If you are familiar with Bazel, things should work as you expect, e.g., run `bazel test //... --keep-going` to run all the tests in the repo, but we have also added some new aliases in the `justfile` for convenience: - `just bazel-test` to run tests locally - `just bazel-remote-test` to run tests remotely (currently, the remote build is for x86_64 Linux regardless of your host platform). Note we are currently seeing the following test failures in the remote build, so we still need to figure out what is happening here: ``` failures: suite::compact::manual_compact_twice_preserves_latest_user_messages suite::compact_resume_fork::compact_resume_after_second_compaction_preserves_history suite::compact_resume_fork::compact_resume_and_fork_preserve_model_history_view ``` - `just build-for-release` to build release binaries for all platforms/architectures remotely To setup remote execution: - [Create a buildbuddy account](https://app.buildbuddy.io/) (OpenAI employees should also request org access at https://openai.buildbuddy.io/join/ with their `@openai.com` email address.) - [Copy your API key](https://app.buildbuddy.io/docs/setup/) to `~/.bazelrc` (add the line `build --remote_header=x-buildbuddy-api-key=YOUR_KEY`) - Use `--config=remote` in your `bazel` invocations (or add `common --config=remote` to your `~/.bazelrc`, or use the `just` commands) ## CI In terms of CI, this PR introduces `.github/workflows/bazel.yml`, which uses Bazel to run the tests _locally_ on Mac and Linux GitHub runners (we are working on supporting Windows, but that is not ready yet). Note that the failures we are seeing in `just bazel-remote-test` do not occur on these GitHub CI jobs, so everything in `.github/workflows/bazel.yml` is green right now. The `bazel.yml` uses extra config in `.github/workflows/ci.bazelrc` so that macOS CI jobs build _remotely_ on Linux hosts (using the `docker://docker.io/mbolin491/codex-bazel` Docker image declared in the root `BUILD.bazel`) using cross-compilation to build the macOS artifacts. Then these artifacts are downloaded locally to GitHub's macOS runner so the tests can be executed natively. This is the relevant config that enables this: ``` common:macos --config=remote common:macos --strategy=remote common:macos --strategy=TestRunner=darwin-sandbox,local ``` Because of the remote caching benefits we get from BuildBuddy, these new CI jobs can be extremely fast! For example, consider these two jobs that ran all the tests on Linux x86_64: - Bazel 1m37s https://github.com/openai/codex/actions/runs/20861063212/job/59940545209?pr=8875 - Cargo 9m20s https://github.com/openai/codex/actions/runs/20861063192/job/59940559592?pr=8875 For now, we will continue to run both the Bazel and Cargo jobs for PRs, but once we add support for Windows and running Clippy, we should be able to cutover to using Bazel exclusively for PRs, which should still speed things up considerably. We will probably continue to run the Cargo jobs post-merge for commits that land on `main` as a sanity check. Release builds will also continue to be done by Cargo for now. Earlier attempt at this PR: https://github.com/openai/codex/pull/8832 Earlier attempt to add support for Buck2, now abandoned: https://github.com/openai/codex/pull/8504 --------- Co-authored-by: David Zbarsky <dzbarsky@gmail.com> Co-authored-by: Michael Bolin <mbolin@openai.com>	2026-01-09 11:09:43 -08:00