## Why
`just fmt` is quite noisy even on successful runs.
## What
Only print output when a formatter fails.
- Buffer output from each formatter and print only a failed command and
its diagnostics.
- Prefix the `justfile` driver invocations with `@` so Just does not
echo the command itself.
- Retain rustfmt stderr on failure and cover silent-success and
failure-reporting behavior.
## Validation
- Confirmed `just fmt` and `just fmt-check` both exit successfully with
empty stdout and stderr.
# Summary
Codex required every ChatGPT account to have an email address. A
service-account personal access token can return valid account metadata
without one, so PAT login failed while decoding the metadata response.
This change makes email optional in the account metadata type that owns
it and preserves that absence through authentication, provider account
state, the app-server API, generated clients, and TUI bootstrap.
Existing accounts with email addresses keep the same behavior.
## Behavior-changing call sites
| Call site | Behavior after this change |
| --- | --- |
| `login/src/auth/personal_access_token.rs` | PAT metadata accepts a
missing or null email and retains `None`. |
| `agent-identity/src/lib.rs` | Agent Identity JWT claims accept an
omitted email. |
| `login/src/auth/storage.rs` and `login/src/auth/agent_identity.rs` |
Stored and managed Agent Identity records carry `Option<String>`.
Deserialization maps the legacy empty-string sentinel to `None`. |
| `login/src/auth/manager.rs` | `get_account_email` returns the stored
option, and managed identity bootstrap no longer converts `None` to an
empty string. |
| `model-provider/src/provider.rs` and `protocol/src/account.rs` | A
ChatGPT provider account requires a plan type but may carry no email. |
| `app-server-protocol/src/protocol/v2/account.rs` | `account/read`
keeps the `email` field on the wire and returns `null` when the account
has no email. Generated TypeScript and JSON schemas describe a required,
nullable field. |
| `sdk/python/src/openai_codex/generated/v2_all.py` | The generated
Python `ChatgptAccount` model accepts `None` for email. |
| `tui/src/app_server_session.rs` | Email-less ChatGPT accounts
bootstrap normally, keep external feedback routing, omit account-email
telemetry, and display the plan in account status. |
## Design decisions
- Missing email remains `None` at every layer. The code never uses an
empty string as a substitute.
- The app-server response includes `"email": null` instead of omitting
the field. Clients retain a stable response shape.
- Plan type remains required for provider account state. This change
relaxes only the email assumption.
## Testing
Tests: affected test targets compile, scoped Clippy and formatting pass,
a focused TUI snapshot covers plan-only account status, real
before/after PAT login smoke covers metadata without email, app-server
smoke covers `account/read` with `email: null`, and a regression smoke
covers an existing email-bearing PAT. Unit tests run in CI.
## Evidence
Visual smoke evidence will be attached here.
## Intent
Keep Bazel and Starlark files consistently formatted without requiring
contributors to install or version buildifier themselves.
## Implementation
- Add a SHA-256-pinned, cross-platform DotSlash manifest for buildifier
v8.5.1.
- Run buildifier from the shared `just fmt` and `just fmt-check` driver,
with Windows-safe explicit DotSlash invocation.
- Provision DotSlash in formatting CI and contributor devcontainers, and
document the source-build prerequisite.
- Apply the initial mechanical buildifier formatting baseline.
## Summary
Replace Hatchling with uv's build backend for the Python SDK. The
backend infers the `src/openai_codex` module from the normalized project
name and standard source layout, so no uv-specific package configuration
is required.
This keeps Python packaging within the uv toolchain already used for
dependency management and release builds. A controlled before-and-after
PEP 517 comparison produced identical wheel package paths, bytes,
permissions, and semantic metadata. The sdist retains the SDK package
tree, root README, and project metadata while dropping the unrelated
examples README that Hatch included through its broad include matching.
## Summary
`just fmt` previously used `uv run --with ruff` to make Ruff available.
Because `--with` creates an ephemeral overlay outside the project
lockfile, uv periodically re-resolved Ruff (by default every 10 minutes)
instead of using the version recorded in `uv.lock`.
Move the Python SDK tooling dependencies from the published `dev` extra
into `format`, `test`, and composed `dev` dependency groups. The
formatter now selects only the locked `format` group, contributor and CI
setup explicitly sync the `dev` group, and CI and release commands reuse
that environment with `--frozen --no-sync`. The scripts formatter also
uses its project's locked Ruff dependency instead of an ephemeral
overlay.
Validated the Python 3.12 SDK suite (119 passed, 38 skipped) and the
repository formatter.
## Summary
- pin the Python SDK runtime to `openai-codex-cli-bin==0.137.0a4`
- refresh generated protocol artifacts from `rust-v0.137.0-alpha.4`
- refresh `sdk/python/uv.lock` with all eight published runtime wheels
## Runtime publication
- published `openai-codex-cli-bin==0.137.0a4` through the
`python-sdk-release` workflow
- includes macOS, manylinux, musllinux, and Windows wheels
- publication run:
https://github.com/openai/codex/actions/runs/26905608531
## Validation
- ran `just fmt`
- generated artifacts from the `rust-v0.137.0-alpha.4` release wheel
- ran `uv lock --check --default-index https://pypi.org/simple`
- did not run tests locally, per request; CI provides the test signal
## Summary
- pin the Python SDK runtime package to `openai-codex-cli-bin==0.136.0`
so Ubuntu/glibc installs resolve a compatible wheel
- refresh generated SDK artifacts and lock data for the runtime update
- keep newly generated client-message-id wire models internal to the
generated protocol layer
## Dependency
- merge #25906 first so the Python SDK release publishes both manylinux
and musllinux runtime wheels before publishing the package with this pin
## Validation
- ran `just fmt`
- regenerated the Python public API helpers
- validated the edited workflow YAML
- CI passed 29/29 checks
## Why
The root formatting entrypoints could drift: `just fmt` did not format
the Justfile itself, and the CI-facing check recipe only checked Python
scripts instead of matching everything formatted by `just fmt`.
## What changed
- Add a shared cross-platform Python formatter driver used by both `just
fmt` and `just fmt-check`.
- Run Justfile, Rust, Python SDK, and internal-script formatter groups
concurrently while buffering each formatter group's output until it
finishes.
- Log formatter starts immediately, then print each formatter group's
labeled output when it completes.
- Keep the SDK lint-fix and Ruff formatting passes ordered, with source
comments explaining their distinct roles and the check-mode equivalents.
- Run Ruff through shared `uv run --no-sync --with ruff` overlays so
formatting works on clean glibc Linux checkouts without installing the
platform-specific SDK runtime wheel.
- Show `fmt-check` help text in `just -l` and simplify CI to call the
shared driver through `just fmt-check`.
- Pin the general CI workflow to `just@1.51.0` so its formatter agrees
with the checked-in Justfile.
- Add regression coverage for the thin Just recipes and the driver's
formatter graph.
## Validation
- `just fmt`
- `just fmt-check`
- `python3 -m pytest
sdk/python/tests/test_artifact_workflow_and_binaries.py -k 'root_fmt or
root_format' -q`
- `pnpm run format`
- `git diff --check`
- `just -l | rg -n '^ fmt|fmt-check'`
- `uvx --from uv==0.7.22 uv run --frozen --project sdk/python --no-sync
--with ruff ruff check --diff sdk/python`
## Why
Python files under `scripts/` were not covered by the repository
formatting recipe or the CI formatting job, so formatting drift could
merge unnoticed.
## What
- Add a dedicated `scripts/pyproject.toml` and `scripts/uv.lock` so
root-script formatting uses a locked Ruff version.
- Extend `just fmt` to format root Python scripts and add
`fmt-scripts-check` for CI.
- Run `just fmt-scripts-check` from `.github/workflows/ci.yml`,
installing `uv` through SHA-pinned `astral-sh/setup-uv` while retaining
the `uv` `0.11.3` pin.
- Apply Ruff formatting to the root Python scripts, including
`scripts/just-shell.py`, and extend
`sdk/python/tests/test_artifact_workflow_and_binaries.py` to cover the
root formatting recipe.
- Update `AGENTS.md` so agents run `just fmt` after code changes
anywhere in the repository.
## Validation
- Extended the existing Python SDK workflow test to assert that `just
fmt` includes root Python scripts.
## Summary
Make the root `justfile` usable from Windows without maintaining a
separate Windows copy of most recipes.
The repo recipes previously assumed POSIX shell behavior for things like
variadic argument forwarding (`"$@"`) and stderr redirection
(`2>/dev/null`). That made common workflows such as `just fmt`, `just
test`, and `just log` unreliable from Windows. This PR introduces a
small cross-platform shell adapter so recipes can stay mostly unified
while still expanding the few shell-specific constructs correctly on
macOS/Linux and Windows.
## What Changed
- Add `scripts/just-shell.py` as the configured `just` shell adapter.
- On Unix it invokes `sh -cu`.
- On Windows it invokes `pwsh -CommandWithArgs` so arguments containing
spaces are preserved.
- Add portable recipe placeholders:
- `{args}` expands to `"$@"` on Unix and the equivalent PowerShell
forwarded-args expression on Windows.
- `{stderr-null}` expands to the platform-specific stderr suppression
used by `fmt`.
- Convert most variadic one-line recipes to the unified `{args}` form,
including `codex`, `exec`, `file-search`, `app-server-test-client`,
`fix`, `clippy`, `bench`, `mcp-server-run`, `write-app-server-schema`,
and `argument-comment-lint-from-source`.
- Keep genuinely shell-specific recipes split or Unix-only for now,
including recipes backed by `.sh` scripts or recipes whose bodies are
more than simple command forwarding.
- Add a Windows `just install` path that installs PowerShell via
`winget` when `pwsh` is not available, then runs the same basic Rust
setup steps.
- Update the SDK test that validates the root `fmt` recipe so it
recognizes the new portable stderr placeholder.
## Validation
- `just --summary`
- `just --dry-run fmt`
- `just --dry-run bench-smoke`
- `just --dry-run codex foo "bar binky" baz`
- `just --dry-run write-hooks-schema`
- `just --dry-run bazel-lock-update`
- `just --dry-run argument-comment-lint-from-source -- "foo bar"`
- `git diff --check -- justfile scripts/just-shell.py
sdk/python/tests/test_artifact_workflow_and_binaries.py`
- Verified Windows argv preservation through `scripts/just-shell.py`
with arguments containing spaces.
- `uv run --frozen --project sdk/python --extra dev pytest
sdk/python/tests/test_artifact_workflow_and_binaries.py::test_root_fmt_recipe_formats_rust_and_python_sdk`
## Summary
- Treat `sdk/python` as a development template with source version
`0.0.0-dev`, matching the existing Python runtime packaging pattern.
- Have `python-v*` tags supply the published SDK beta version through
the existing `stage-sdk --sdk-version` path.
- Remove the workflow check requiring a source version bump for each
beta release and remove its now-unused host Python setup step.
- Keep the reviewed runtime dependency pin at
`openai-codex-cli-bin==0.132.0`.
- Remove beta-number-specific documentation so it does not need editing
for each publish.
## Why
The package staging script already writes the release version into the
artifact. Requiring the checked-in SDK template version to match every
tag adds release-only source churn without changing the package users
receive.
## Validation
- Not run locally; relying on online CI for this workflow and metadata
change.
## Release
After this PR lands, publish the next beta by pushing tag
`python-v0.1.0b2` from merged `main`.
## Why
The initial public `openai-codex` beta should read and install like a
normal published Python package before a release tag is created. This
follows merged PR #24828, which establishes the independent SDK beta
release plumbing and exact runtime dependency.
## What changed
- Rewrote `sdk/python/README.md` as a compact PyPI-facing beta package
page: published installation, one quickstart, short login examples,
built-in help, and links to deeper guides.
- Updated the getting-started guide, API reference, FAQ, and examples
index to present the published beta consistently without repeating
onboarding in the package landing page or reference page.
- Made `pip install openai-codex` the primary install path while beta
releases are the only published SDK releases, with `--pre` documented
for opting into prereleases after a stable release exists.
- Added curated `help()` / `pydoc` docstrings across the public API and
generated public convenience methods through
`scripts/update_sdk_artifacts.py`.
- Declared the repository `Apache-2.0` license expression and
Documentation URL in package metadata, without introducing a duplicated
SDK-local license file.
- Kept the source distribution focused on installable package material
(`src/openai_codex`, `README.md`, and `pyproject.toml`); the repository
docs and runnable examples remain linked from the PyPI README.
- Built release artifacts in an Alpine container on the Ubuntu runner,
matching Python SDK CI and allowing type generation to install the
published `musllinux` runtime wheel.
- Added `twine check --strict` to the release workflow so malformed PyPI
metadata or rendered README content fails before publishing.
- Added focused SDK assertions for beta metadata, the exact runtime pin,
source distribution contents, and the built-in Python documentation
surface.
## Validation
- Ran `uv run --frozen --extra dev ruff check
scripts/update_sdk_artifacts.py src/openai_codex
tests/test_public_api_signatures.py
tests/test_artifact_workflow_and_binaries.py` before the final
README-only reductions and review-fix follow-ups.
- Built `openai_codex-0.1.0b1-py3-none-any.whl` and
`openai_codex-0.1.0b1.tar.gz` before the final README-only reductions
and review-fix follow-ups.
- Ran `python -m twine check --strict` on both built artifacts before
the final README-only reductions and review-fix follow-ups.
- Verified artifact metadata reports `Apache-2.0` without a duplicated
SDK-local license file.
- Verified `inspect.getdoc(...)` resolves documentation for the package,
`Codex`, `CodexConfig`, and key generated thread methods.
- Rebased the documentation/readiness change onto merged PR #24828
without changing the intended SDK or workflow file contents.
- Final verification is delegated to online CI for this PR.
## Why
`openai-codex` needs a beta release lifecycle without requiring beta
releases of its pinned runtime package. Previously, SDK staging rewrote
its runtime dependency to the SDK version, which made an SDK-only beta
impossible.
## What changed
- Set the initial SDK beta version to `0.1.0b1` and pin it to published
stable `openai-codex-cli-bin==0.132.0`.
- Decoupled SDK release staging from runtime versioning so it preserves
the reviewed exact runtime pin.
- Added a `python-v*` tag workflow that builds and publishes only
`openai-codex` through PyPI trusted publishing.
- Removed the Beta classifier from runtime package metadata for future
runtime publications.
- Regenerated protocol-derived SDK models from the selected stable
runtime package.
`0.132.0` is the newest stable runtime admitted by the checked-in
dependency date fence and retains the Linux wheel family currently used
by SDK CI.
## Release setup
Before pushing `python-v0.1.0b1`, configure PyPI trusted publishing for
the `openai-codex` project with workflow `python-sdk-release.yml`,
environment `pypi`, and job `publish-python-sdk`.
## Validation
- `uv run --frozen --extra dev ruff check src/openai_codex scripts
examples tests`
- Parsed `.github/workflows/python-sdk-release.yml` with PyYAML.
- Built staged release artifacts locally:
`openai_codex-0.1.0b1-py3-none-any.whl` and
`openai_codex-0.1.0b1.tar.gz`.
- Verified wheel metadata pins `openai-codex-cli-bin==0.132.0`.
- Tests are deferred to online CI for this PR.
## Why
`AppServerConfig` is exported as part of the ergonomic Python SDK
surface and passed to `Codex(...)` and `AsyncCodex(...)`. That name
exposes the underlying app-server transport at the same layer where
users are configuring the Codex client. `CodexConfig` makes the common
callsite read naturally and names the object it configures.
## What changed
- Renamed the public configuration dataclass from `AppServerConfig` to
`CodexConfig`.
- Updated `Codex`, `AsyncCodex`, and the transport clients to accept
`CodexConfig`.
- Updated binary-resolution messages, package exports, docs, examples,
and related coverage to use the new public name.
## API impact
```python
from openai_codex import Codex, CodexConfig
with Codex(config=CodexConfig(codex_bin="/path/to/codex")) as codex:
...
```
Callers should now import and construct `CodexConfig`; `AppServerConfig`
is no longer part of the Python SDK surface.
## Validation
- `uv run --frozen --extra dev ruff check src/openai_codex scripts
examples tests`
- Tests are deferred to online CI for this PR.
## Why
The Python and TypeScript SDKs launch the native Codex runtime directly,
so they need to consume the same package artifact shape that release
jobs now produce. The runtime wheel should be built from the canonical
Codex package archive rather than reconstructing a parallel layout from
loose binaries.
## What Changed
- Stage `openai-codex-cli-bin` by extracting
`codex-package-<target>.tar.gz` into `src/codex_cli_bin` and validating
the expected package layout.
- Update release workflows to pass the generated package archive into
`stage-runtime` instead of the temporary package directory.
- Update Python runtime setup to download `codex-package-*.tar.gz`
release assets directly.
- Expose Python runtime helpers for the bundled package directory and
`codex-path`, and prepend that path when `openai_codex` launches the
installed runtime without duplicating Windows `Path`/`PATH` keys.
- Teach the TypeScript SDK to resolve package-layout optional
dependencies while keeping the existing npm fallback layout, and
preserve the existing Windows path variable casing when prepending
`codex-path`.
## Test Plan
- `python3 -m py_compile sdk/python/scripts/update_sdk_artifacts.py
sdk/python/_runtime_setup.py sdk/python/src/openai_codex/client.py
sdk/python-runtime/src/codex_cli_bin/__init__.py`
- `uv run --frozen --project sdk/python --extra dev ruff check
sdk/python/scripts/update_sdk_artifacts.py sdk/python/_runtime_setup.py
sdk/python/src/openai_codex/client.py
sdk/python/tests/test_artifact_workflow_and_binaries.py
sdk/python-runtime/src/codex_cli_bin/__init__.py`
- `uv run --frozen --project sdk/python --extra dev pytest
sdk/python/tests/test_artifact_workflow_and_binaries.py`
- `pnpm eslint src/exec.ts tests/exec.test.ts`
- `pnpm test --runInBand tests/exec.test.ts`
## Why
`just fmt` should align source formatting without resolving dependencies
or rewriting lockfiles. The Python SDK formatting steps run through
`uv`, so differing local `uv` versions could decide the SDK lock was
stale and mutate `sdk/python/uv.lock` before Ruff ran.
## What
- Add `--frozen` to both Python SDK `uv run ... ruff` commands in the
root `fmt` recipe.
- Update the existing Python SDK artifact workflow guard test so future
changes keep the formatter recipe non-lock-mutating.
## Verification
- `uv run --frozen --project ../sdk/python --extra dev pytest
../sdk/python/tests/test_artifact_workflow_and_binaries.py -q`
## Why
The Python SDK needs the same tight formatter/lint loop as the rest of
the repo: a safe Ruff autofix pass, Ruff formatting, editor save
behavior, and CI checks that catch drift. Without that loop, SDK changes
can land with formatting or import ordering that differs from what
reviewers and CI expect.
## What
- Add Ruff configuration to `sdk/python/pyproject.toml`, excluding
generated protocol code and notebooks from the normal lint/format pass.
- Update `just fmt` so it still formats Rust and also runs Python SDK
Ruff autofix and formatting.
- Add Python SDK CI steps for `ruff check` and `ruff format --check`
before pytest.
- Recommend the Ruff VS Code extension and enable Python
format/fix/organize-on-save so Cmd+S uses the same tooling.
- Apply the resulting Ruff formatting to SDK Python files, examples, and
the checked-in generated `v2_all.py` output emitted by the pinned
generator.
- Add a guard test for the `just fmt` recipe so it keeps working from
both Rust and Python SDK working directories.
## Stack
1. #21891 `[1/8]` Pin Python SDK runtime dependency
2. #21893 `[2/8]` Generate Python SDK types from pinned runtime
3. #21895 `[3/8]` Run Python SDK tests in CI
4. #21896 `[4/8]` Define Python SDK public API surface
5. #21905 `[5/8]` Rename Python SDK package to `openai-codex`
6. #21910 `[6/8]` Add high-level Python SDK approval mode
7. #22014 `[7/8]` Add Python SDK app-server integration harness
8. This PR `[8/8]` Add Python SDK Ruff formatting
## Verification
- Added `test_root_fmt_recipe_formats_rust_and_python_sdk` for the
shared format recipe.
- Ran `just fmt` after the recipe update.
---------
Co-authored-by: Codex <noreply@openai.com>
## Why
The SDK should publish under the reserved public distribution name
`openai-codex`, and its import module should match that name in the
Python style. Since package names can contain hyphens but import modules
cannot, the public import path becomes `openai_codex`.
Keeping the rename separate from the public API surface change makes the
naming change easy to review and avoids mixing it with API curation.
## What
- Rename the SDK distribution from `openai-codex-app-server-sdk` to
`openai-codex`.
- Rename the import package from `codex_app_server` to `openai_codex`.
- Keep the runtime wheel as the separate `openai-codex-cli-bin`
dependency.
- Update docs, examples, notebooks, artifact scripts, lockfile metadata,
and tests for the new distribution/module names.
## Stack
1. #21891 `[1/8]` Pin Python SDK runtime dependency
2. #21893 `[2/8]` Generate Python SDK types from pinned runtime
3. #21895 `[3/8]` Run Python SDK tests in CI
4. #21896 `[4/8]` Define Python SDK public API surface
5. This PR `[5/8]` Rename Python SDK package to `openai-codex`
6. #21910 `[6/8]` Add high-level Python SDK approval mode
7. #22014 `[7/8]` Add Python SDK app-server integration harness
8. #22021 `[8/8]` Add Python SDK Ruff formatting
## Verification
- Updated package metadata and public API tests to assert the
distribution and import names.
Co-authored-by: Codex <noreply@openai.com>
## Why
Once the SDK declares its runtime package, generated Python artifacts
should come from that pinned runtime rather than whatever app-server
schema happens to be in the current checkout. That keeps the generated
API and model surface aligned with the runtime users install.
## What
- Teach `scripts/update_sdk_artifacts.py generate-types` to invoke the
pinned runtime package for schema generation.
- Regenerate `v2_all.py`, `notification_registry.py`, and generated
public wrapper methods from that schema.
- Add freshness coverage so regenerating from the pinned runtime must
leave checked-in artifacts unchanged.
## Stack
1. #21891 `[1/8]` Pin Python SDK runtime dependency
2. This PR `[2/8]` Generate Python SDK types from pinned runtime
3. #21895 `[3/8]` Run Python SDK tests in CI
4. #21896 `[4/8]` Define Python SDK public API surface
5. #21905 `[5/8]` Rename Python SDK package to `openai-codex`
6. #21910 `[6/8]` Add high-level Python SDK approval mode
7. #22014 `[7/8]` Add Python SDK app-server integration harness
8. #22021 `[8/8]` Add Python SDK Ruff formatting
## Verification
- Added `test_generated_files_are_up_to_date` for pinned-runtime
generation drift.
- Added generator-structure tests for schema annotation and notification
metadata generation.
---------
Co-authored-by: Codex <noreply@openai.com>
## Why
The Python SDK depends on the app-server runtime package for the bundled
`codex` binary and schema source of truth. That relationship should be
explicit in package metadata instead of inferred from matching version
numbers, so installers, lockfiles, and reviewers can see exactly which
runtime the SDK expects.
## What
- Declare `openai-codex-cli-bin==0.131.0a4` as a Python SDK dependency.
- Update runtime setup helpers to resolve the runtime version from the
declared dependency pin.
- Refresh the SDK lockfile for the pinned runtime wheel.
- Update package/runtime tests and docs that describe where the runtime
version comes from.
## Stack
1. This PR `[1/8]` Pin Python SDK runtime dependency
2. #21893 `[2/8]` Generate Python SDK types from pinned runtime
3. #21895 `[3/8]` Run Python SDK tests in CI
4. #21896 `[4/8]` Define Python SDK public API surface
5. #21905 `[5/8]` Rename Python SDK package to `openai-codex`
6. #21910 `[6/8]` Add high-level Python SDK approval mode
7. #22014 `[7/8]` Add Python SDK app-server integration harness
8. #22021 `[8/8]` Add Python SDK Ruff formatting
## Verification
- Added coverage for the SDK runtime dependency pin and runtime
distribution naming.
---------
Co-authored-by: Codex <noreply@openai.com>
## Why
Some Codex runtime distributions need helper executables beside the main
bundled binary. Linux sandbox fallback needs a packaged `bwrap` when no
suitable system `bwrap` is available, and Windows sandbox/elevation
needs helper executables discoverable beside `codex.exe`. The checked-in
`openai-codex-cli-bin` template already packages everything under
`codex_cli_bin/bin/**`, but the staging script only copied the main
Codex binary into that directory.
This PR adds the generic staging primitive needed by release workflows
to build complete platform runtime wheels without baking
platform-specific helper names into the package template.
## What changed
- Added repeatable `stage-runtime --resource-binary` support so release
workflows can copy extra executables beside the bundled Codex binary.
- Kept resource selection in workflow code, where the platform target is
known.
- Added tests that verify resource binaries are copied into the staged
runtime package, that the wheel include config covers them, and that the
CLI forwards repeated `--resource-binary` values.
## Testing
- `uv run ruff check scripts/update_sdk_artifacts.py
tests/test_artifact_workflow_and_binaries.py`
- `uv run --extra dev pytest
tests/test_artifact_workflow_and_binaries.py::test_stage_runtime_release_copies_resource_binaries
tests/test_artifact_workflow_and_binaries.py::test_runtime_resource_binaries_are_included_by_wheel_config
tests/test_artifact_workflow_and_binaries.py::test_stage_runtime_stages_binary_without_type_generation`
Full `tests/test_artifact_workflow_and_binaries.py` still has unrelated
schema-normalization drift in the local checkout.
---------
Co-authored-by: Codex <noreply@openai.com>
**note**: a large chunk of this diff comes from regenerating Python
types after app-server schema changes on `main`.
This is PR 3 of 3 for the Python SDK PyPI publishing split. PR #18862
refreshed the generated SDK surface, and PR #18865 made the runtime
package publishable as `openai-codex-cli-bin`; this final PR makes the
SDK package publishable as `openai-codex-app-server-sdk` and pins both
packages to the same Codex runtime version.
The key idea is that the published SDK version is the Codex runtime
version. That one version now drives the SDK package version, the exact
runtime dependency, the client version reported by the SDK, and the
bootstrap runtime pin. This keeps release-time versioning in one lane
instead of scattering checked-in literals through the package.
## What changed
- Rename the SDK distribution from `codex-app-server-sdk` to
`openai-codex-app-server-sdk` for conflict-free PyPI publishing.
- Use `stage-sdk --codex-version ...` with one Codex version for both
the SDK package version and exact `openai-codex-cli-bin` dependency.
- Preserve hidden legacy `--runtime-version` / `--sdk-version` args only
to reject mismatched versions during staging.
- Map PEP 440 package versions back to Codex release tags for runtime
setup downloads, e.g. `0.116.0a1` -> `rust-v0.116.0-alpha.1`.
- Derive `codex_app_server.__version__`, the default
`AppServerConfig.client_version`, and
`_runtime_setup.pinned_runtime_version()` from the SDK package/project
version instead of hardcoding duplicate version strings.
- Carry the current generated SDK refresh from `main` so
`generate-types` stays clean after recent app-server schema changes.
- Update `sdk/python/uv.lock` for the renamed editable package.
## Validation
- `uv run --extra dev pytest` in `sdk/python` -> 59 passed, 37 skipped.
- Targeted `uv run ruff check` for the touched SDK files.
- `git diff --check`.
- Staged runtime with `--codex-version rust-v0.116.0-alpha.1
--platform-tag macosx_11_0_arm64`.
- Staged SDK with `--codex-version rust-v0.116.0-alpha.1`.
- Built runtime wheel, SDK wheel, and SDK sdist.
- `twine check /tmp/codex-python-pr3-build/dist/*` -> passed.
- Clean venv smoke installed `openai-codex-app-server-sdk==0.116.0a1`
from local dist and pulled `openai-codex-cli-bin==0.116.0a1`.
- Smoke imports passed for `Codex` and `bundled_codex_path()`.
This is PR 2 of the Python SDK PyPI publishing split. [PR
1](https://github.com/openai/codex/pull/18862) refreshed the generated
SDK bindings; this PR makes the runtime package itself publishable, and
PR 3 will wire the SDK package/version pinning to this runtime package.
## Summary
- Rename the runtime distribution to `openai-codex-cli-bin` while
keeping the import package as `codex_cli_bin`.
- Make the runtime package wheel-only and build `py3-none-<platform>`
wheels instead of interpreter-specific wheels.
- Add `stage-runtime --codex-version` and `--platform-tag` so release
staging can produce the platform wheel matrix from Codex release tags.
- Add focused artifact workflow tests for version normalization,
platform tag injection, and runtime wheel metadata.
## Why Rename
There is already an unofficial PyPI package,
[`codex-bin`](https://pypi.org/project/codex-bin/), distributing OpenAI
Codex binaries. Publishing the official SDK runtime dependency as
`openai-codex-cli-bin` makes the ownership clear, avoids confusing the
SDK-pinned runtime wheel with that unowned wrapper, and keeps the import
package unchanged as `codex_cli_bin`.
## Tests
- `uv run --extra dev pytest
tests/test_artifact_workflow_and_binaries.py` -> 21 passed
- `uv run --extra dev python scripts/update_sdk_artifacts.py
stage-runtime /tmp/codex-python-pr2-rebased/runtime-stage
/tmp/codex-python-pr2-rebased/codex --codex-version
rust-v0.116.0-alpha.1 --platform-tag macosx_11_0_arm64`
- `uv run --with build --extra dev python -m build --wheel
/tmp/codex-python-pr2-rebased/runtime-stage`
- `uv run --with twine --extra dev twine check
/tmp/codex-python-pr2-rebased/runtime-stage/dist/openai_codex_cli_bin-0.116.0a1-py3-none-macosx_11_0_arm64.whl`
## Note
- Full `uv run --extra dev pytest` currently fails because regenerating
from schemas already on `main` adds new DeviceKey Python types. I left
that generated catch-up out of this runtime-only PR.
## TL;DR
WIP esp the examples
Thin the Python SDK public surface so the wrapper layer returns
canonical app-server generated models directly.
- keeps `Codex` / `AsyncCodex` / `Thread` / `Turn` and input helpers,
but removes alias-only type layers and custom result models
- `metadata` now returns `InitializeResponse` and `run()` returns the
generated app-server `Turn`
- updates docs, examples, notebook, and tests to use canonical generated
types and regenerates `v2_all.py` against current schema
- keeps the pinned runtime-package integration flow and real integration
coverage
## Validation
- `PYTHONPATH=sdk/python/src python3 -m pytest sdk/python/tests`
- `GH_TOKEN="$(gh auth token)" RUN_REAL_CODEX_TESTS=1
PYTHONPATH=sdk/python/src python3 -m pytest sdk/python/tests -rs`
---------
Co-authored-by: Codex <noreply@openai.com>
## Summary
- regenerate `sdk/python` protocol-derived artifacts on latest
`origin/main`
- update `notification_registry.py` to match the regenerated
notification set
- fix the stale SDK test expectation for `GranularAskForApproval`
## Validation
- `cd sdk/python && python scripts/update_sdk_artifacts.py
generate-types`
- `cd sdk/python && python -m pytest`
## TL;DR
Bring the Python app-server SDK from `main-with-prs-13953-and-14232`
onto current `main` as a standalone SDK-only PR.
- adds the new `sdk/python` and `sdk/python-runtime` package trees
- keeps the scope to the SDK payload only, without the unrelated
branch-history or workflow changes from the source branch
- regenerates `sdk/python/src/codex_app_server/generated/v2_all.py`
against current `main` schema so the extracted SDK matches today's
protocol definitions
## Validation
- `PYTHONPATH=sdk/python/src python3 -m pytest sdk/python/tests`
Co-authored-by: Codex <noreply@openai.com>
Adam Perry @ OpenAI ·
efrazer-oai ·
Charlie Marsh ·
Ahmed Ibrahim ·
iceweasel-oai ·
Michael Bolin ·
jif-oai ·
Steve Coffey ·
Shaqayeq ·
sayan-oai ·