## 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
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>
**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>
Ahmed Ibrahim ·
Steve Coffey ·
Shaqayeq ·