## What changed
- Add `max` and `ultra` to the TypeScript `ModelReasoningEffort` type.
- Add matching Python `ReasoningEffort` members and preserve them when SDK artifacts are regenerated.
- Update the Python model-selection examples to rank the new effort levels.
## Testing
- Cover serialization of both new Python enum members while continuing to accept unknown future values.
GitOrigin-RevId: 1412b77bdbb2530f5d38921cdea971dd34458353
## What changed
- Pin `openai-codex` to the `0.147.0` CLI runtime and regenerate its protocol models and lockfile.
- Allow stable Python SDK release tags and require their versions to match the pinned runtime.
- Expose the regenerated API additions, including thread sections, environment connection notifications, audio inputs, and the `section_id` thread-list filter.
## Testing
- Update release staging, generated-contract, notification, and public-signature coverage for the new runtime.
GitOrigin-RevId: 8b99ef6781e01c34d9d697c8c44247fb4e4fe3ab
## What changed
- Add a harness that runs the Codex executable against a pinned official MCP
client conformance suite across shipping, intermediate, and modern protocol
versions, HTTP and stdio transports, and OAuth scenarios.
- Add a separate app-server regression matrix for transport, security, schema,
pagination, SSE, multi-round request, and catalog-boundary behavior.
- Check both suites against committed baselines so previously passing or
required checks cannot disappear or newly fail, while keeping known failures
visible in complete reports.
- Run the fixture self-tests and both executable-level gates from the Python
and TypeScript SDK test workflows.
## Testing
- Add unit tests for the fixture server, official-suite adapter, conformance
runner, baseline comparison, and reviewer regression runner.
GitOrigin-RevId: de59f039294e34ed72873d9f6940b52e89172c0d
## What changed
- Recognize `self_serve_business_prolite` across authentication, account and rate-limit APIs, generated schemas, workspace classification, status display, cloud configuration gating, and usage-limit messaging.
- Keep the Python SDK's `PlanType` enum compatible with non-empty string values introduced by newer Codex runtimes while preserving its known constants.
## Testing
- Cover token parsing, account reads and notifications, backend rate-limit mapping, workspace behavior, error formatting, and Python SDK response coercion for the new plan value.
GitOrigin-RevId: 70bc17a7c4ba4028cb10e4333cc1f2ac64da361f
## What changed
- Mark `openai-codex` as stable and align its versioned runtime dependency with Codex CLI `0.144.4`.
- Regenerate the Python protocol models and notification registry from that runtime, exposing the latest requests, responses, notifications, and schema fields.
- Keep `ReasoningEffort` and `ThreadSource` as enum-style APIs while accepting unknown future wire values, and omit `last_turn_id` from the flat `thread_fork` helper.
## Testing
- Cover stable SDK/runtime version matching, forward-compatible enum parsing, and generated client method signatures.
GitOrigin-RevId: eaa616bcbfca4258f11274e12e7eefaa551110b7
## Summary
- build, strip, sign, and publish `codex-code-mode-host` with the
primary Codex release binaries on Linux, macOS, and Windows
- place the host beside `codex[.exe]` in canonical package archives,
macOS DMGs, and the legacy Linux bundle so the runtime's sibling lookup
succeeds
- preserve and validate the host through standalone installers and
Python runtime wheel staging
- add package-builder coverage for source selection and the resulting
package layout
## Why
The process-owned code-mode client launches `codex-code-mode-host` as a
sibling of the running Codex executable. Release artifacts currently
build and bundle `codex` without that host, so code mode cannot start
from installed packages.
## 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.
## Summary
- use generated image data URLs in the Python SDK examples and notebook
- document HTTP and HTTPS image URLs as deprecated and recommend
`LocalImageInput`
- replace the remote-URL integration test with data-URL coverage
`ImageInput` remains available for data URLs. The SDK does not duplicate
app-server URL validation.
## Testing
- `uv run --frozen --no-sync ruff check --output-format=full .`
- `uv run --frozen --no-sync ruff format --check .`
- full Python SDK test suite with an isolated writable
`CODEX_SQLITE_HOME` (119 passed, 38 skipped)
## 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.
## Why
The Python SDK must treat the runtime's initial goal turn and its
continuations as one logical operation. That requires a private
lifecycle engine before the public API can return the existing turn
handle and result types.
## What
- start goals by composing the existing clear/set goal RPCs
- enforce persisted, idle threads and a bounded startup handshake
- coalesce continuation notifications under a stable logical turn ID
- aggregate items, usage, timing, and terminal status
- support rollover-aware steering, interruption, cancellation, and
cleanup
- provide equivalent sync and async internals
This is the second PR in the stack and intentionally adds no public API.
## Test plan
- online CI, including the Python SDK suite
- behavioral coverage is added in the following two stack PRs
## Why
Goal continuation turns are emitted by the existing runtime as separate
physical turns. The Python SDK needs private thread-scoped routing
before it can present those notifications as one logical operation,
without changing ordinary turn routing or the app-server protocol.
## What
- add private goal operation state and thread-scoped notification
routing
- add internal wrappers for the existing `thread/goal/clear` and
`thread/goal/set` RPCs
- include existing goal notifications in the SDK notification union
- preserve ordinary turn-ID routing unchanged
- add focused routing coverage
This PR does not expose a public goal API. It is the first PR in the
Python goal operations stack.
## Test plan
- online CI, including the Python SDK suite
- focused typed-notification routing coverage
## 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`.
## Summary
- Remove the beta warning callout from the PyPI-facing Python SDK
README.
- Keep the existing Beta title and install/usage guidance unchanged.
## Validation
- Not run locally; relying on online CI for this documentation-only
change.
## Release
- Land this change before publishing the next Python SDK beta.
## Summary
- Remove the Python language classifiers from the Python SDK package
metadata.
- Keep `requires-python = ">=3.10"` as the package's interpreter
compatibility constraint.
- Avoid presenting a curated version-support list in PyPI metadata.
## Validation
- Not run locally; relying on online CI for this metadata-only change.
## Release
- Land this change before publishing the next Python SDK beta.
## Summary
- Remove the exact-version install snippet from the PyPI-facing Python
SDK README.
- Remove the release-selection explanation so the install section
presents the standard `pip install openai-codex` path directly.
## Validation
- Not run locally; relying on online CI for this documentation-only
change.
## 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 SDK currently exposes sandbox selection differently depending
on where it is used: thread lifecycle methods accept `SandboxMode`,
while turns accept the lower-level `SandboxPolicy` shape. For the common
case of choosing an access level, that leaks app-server wire details
into otherwise straightforward SDK usage.
This makes the common path explicit and discoverable: callers choose a
named sandbox preset once, using the same keyword on threads and turns.
The preset name `workspace_write` also makes the granted capability
clear at the callsite.
## What changed
- Added a root-level `Sandbox` enum with documented presets:
- `Sandbox.read_only`: read files without allowing writes.
- `Sandbox.workspace_write`: the normal default for projects with a
recorded trust decision; read files and write inside the workspace and
configured writable roots.
- `Sandbox.full_access`: run without filesystem access restrictions.
- Documented that omitting `sandbox=` delegates to app-server's
configured default, while explicit turn overrides remain sticky for
subsequent turns.
- Updated sync and async thread lifecycle and turn APIs to consistently
accept `sandbox=Sandbox...`, translating to the existing app-server
thread and turn representations internally.
- Updated the public API artifact generator so regenerated SDK wrappers
retain the friendly enum shape.
- Replaced low-level policy construction in Python docs, examples, and
the walkthrough notebook with the preset API.
- Added focused coverage for root exports, method signatures,
preset-to-wire mapping, and rejection of raw string sandbox inputs.
## API impact
High-level turn calls now use `sandbox=` instead of `sandbox_policy=`:
```python
from openai_codex import Codex, Sandbox
with Codex() as codex:
thread = codex.thread_start(sandbox=Sandbox.workspace_write)
result = thread.run("Review the diff only.", sandbox=Sandbox.read_only)
```
`thread_start(...)` already defaults to `ApprovalMode.auto_review`, so
normal writable usage is concise:
```python
with Codex() as codex:
thread = codex.thread_start(sandbox=Sandbox.workspace_write)
thread.run("Update the files in this workspace.")
```
With that combination, edits inside `cwd` and configured writable roots
run within the workspace-write sandbox. Operations that require
approval, such as edits outside those roots, are routed through auto
review. When `sandbox=` is omitted, app-server resolves its configured
default. A sandbox supplied to `run(...)` or `turn(...)` applies to that
turn and subsequent turns.
## Test coverage
- `sdk/python/tests/test_public_api_signatures.py` covers the public
export and parameter names, including the default approval mode.
- `sdk/python/tests/test_public_api_runtime_behavior.py` covers preset
mappings to the existing wire types and raw string rejection.
## 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
`TurnHandle.run()` returned the raw app-server `Turn`, whose live
start/completed payloads do not include loaded `items`, so users saw
empty `items` after starting a turn. That made the handle-based path
behave differently from `Thread.run(...)`, and pushed examples toward
persisted-thread reads plus helper extraction.
This PR makes the run APIs standalone: starting a turn and running it
returns collected turn data directly, or fails visibly when required
stream events are missing.
## What Changed
- Replaces the public `RunResult` export with `TurnResult`.
- Adds turn metadata to `TurnResult`: `id`, `status`, `error`,
`started_at`, `completed_at`, and `duration_ms`, alongside
`final_response`, `items`, and `usage`.
- Changes `TurnHandle.run()` and `AsyncTurnHandle.run()` to consume
stream events with the same collector used by `Thread.run(...)`.
- Exports `TurnError` from `openai_codex.types` for the new result
shape.
- Updates tests, examples, docs, and the walkthrough notebook to use
`result.final_response` and `result.items` directly.
- Removes persisted-thread helper paths and placeholder/skipped control
flows from the public examples and notebook.
## Verification
- `python3 -m py_compile ...` over changed SDK, example, and test Python
files.
- `python3 -c "import json;
json.load(open('sdk/python/notebooks/sdk_walkthrough.ipynb'))"`
- `git diff --check`
- `PYTHONPATH=sdk/python/src python3 -c ...` import/signature smoke for
`TurnResult`, `TurnHandle.run`, and `AsyncTurnHandle.run`.
## Why
The Python SDK can already create threads and run turns, but
authentication still has to be arranged outside the SDK. App-server
already exposes account login, account inspection, logout, and
`account/login/completed` notifications, so SDK users currently have to
work around a missing public client layer for a core setup step.
This change makes authentication a normal SDK workflow while preserving
the backend flow shape: API-key login completes immediately, and
interactive ChatGPT flows return live handles that complete later
through app-server notifications.
## What changed
- Added public sync and async auth methods on `Codex` / `AsyncCodex`:
- `login_api_key(...)`
- `login_chatgpt()`
- `login_chatgpt_device_code()`
- `account(...)`
- `logout()`
- Added public browser-login and device-code handle types with
attempt-local `wait()` and `cancel()` helpers. Cancellation stays on the
handle instead of a root-level SDK method.
- Extended the Python app-server client and notification router so login
completion events are routed by `login_id` without consuming unrelated
global notifications.
- Kept login request/handle logic in a focused internal `_login.py`
module so `api.py` remains the public facade instead of absorbing more
auth plumbing.
- Exported the new handle types plus curated account/login response
types from the SDK surfaces.
- Updated SDK docs, added sync/async login walkthrough examples, and
added a notebook login walkthrough cell.
## Verification
Added SDK coverage for:
- API-key login, account readback, and logout through the app-server
harness in both sync and async clients.
- Browser login cancellation plus `handle.wait()` completion through the
real app-server boundary used by the Python SDK harness.
- Waiter routing that stays scoped across replaced interactive login
attempts, plus async handle cancellation coverage.
- Login notification demuxing, replay of early completion events, and
async client delegation.
- Public export/signature assertions.
- Real integration-suite smoke coverage for the new examples and
notebook login cell.
## Summary
- Move approval-mode mapping into
`sdk/python/src/openai_codex/_approval_mode.py`.
- Move initialize metadata parsing and normalization into
`sdk/python/src/openai_codex/_initialize_metadata.py`.
- Keep the public `ApprovalMode` export stable and retarget direct
metadata helper coverage.
## Integration coverage
- Add an app-server harness smoke that exercises sync and async SDK
initialization plus thread creation.
## Validation
- Local tests were not run per repo guidance. CI should validate this
branch once the PR is online.
## Summary
- Remove maintainer and release-process wording from the Python SDK
README and docs.
- Rewrite SDK-facing comments/docstrings so they read as standalone
product documentation.
- Add a real app-server integration smoke that follows the public
quickstart-style `Codex() -> thread_start() -> run()` path.
## Integration coverage
- Add `test_real_quickstart_style_flow_smoke` in the real app-server
integration suite.
## Validation
- Local tests were not run per repo guidance. CI should validate this
branch once the PR is online.
## 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 had behavioral tests that replaced SDK client internals. Those
tests could catch wrapper mistakes, but they did not prove the pinned
app-server runtime, generated notification models, request routing, and
sync/async public clients worked together.
This PR adds deterministic integration coverage that starts the pinned
`codex app-server` process and mocks only the upstream Responses HTTP
boundary.
## What
- Add `AppServerHarness` and `MockResponsesServer` helpers for isolated
`CODEX_HOME`, mock-provider config, queued SSE responses, and captured
`/v1/responses` requests.
- Add shared helpers for SSE construction, stream assertions,
approval-policy inspection, and image fixtures.
- Split integration coverage into focused modules for run behavior,
inputs, streaming, turn controls, approvals, and thread lifecycle.
- Cover sync and async `Thread.run`, `TurnHandle.stream`, interleaved
streams, approval-mode persistence, lifecycle helpers, final-answer
phase handling, image inputs, loaded skill input injection, steering,
interruption, listing, history reads, run overrides, and token usage
mapping.
- Replace public-wrapper tests that duplicated integration-test behavior
with lower-level client tests only where direct client behavior is the
thing under test.
## 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. This PR `[7/8]` Add Python SDK app-server integration harness
8. #22021 `[8/8]` Add Python SDK Ruff formatting
## Verification
- Added pinned app-server integration tests under
`sdk/python/tests/test_app_server_*.py` and
`test_real_app_server_integration.py`.
---------
Co-authored-by: Codex <noreply@openai.com>
## Why
The high-level SDK should expose the approval behavior it actually
supports instead of leaking generated app-server routing fields. New
work should have two clear choices: default auto review, or explicitly
deny escalated permission requests. Existing threads and subsequent
turns should preserve their current approval behavior unless the caller
passes an override.
## What
- Add the public `ApprovalMode` enum with `auto_review` and `deny_all`.
- Default new thread creation to `ApprovalMode.auto_review`.
- Preserve existing approval settings by default for resume, fork, run,
and turn helpers.
- Remove raw `approval_policy` / `approvals_reviewer` kwargs from
high-level SDK wrappers.
- Update generated wrapper output, docs, examples, notebooks, and tests
for the high-level approval mode API.
## 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. This PR `[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 approval-mode mapping/default tests for new threads, existing
threads, forks, resumes, and subsequent turns.
---------
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
The SDK package root should be the ergonomic public client API, not a
dump of every generated app-server schema type. Generated models still
need a supported import path, but callers should be able to tell which
names are high-level SDK entrypoints and which names are protocol value
models.
## What
- Define a curated root `__all__` for clients, handles, input helpers,
retry helpers, config, and public errors.
- Add a `types` module as the supported home for generated app-server
response, event, enum, and helper models.
- Update docs and examples to import protocol/value models from the type
module.
- Add tests that lock root exports, type-module exports, star-import
behavior, and example import hygiene.
## 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. This PR `[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 public API signature tests for root exports, `types` exports,
and example imports.
---------
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
The Python SDK previously protected the stdio transport with a single
active turn-consumer guard. That avoided competing reads from stdout,
but it also meant one `Codex`/`AsyncCodex` client could not stream
multiple active turns at the same time. Notifications could also arrive
before the caller received a `TurnHandle` and registered for streaming,
so the SDK needed an explicit routing layer instead of letting
individual API calls read directly from the shared transport.
## What Changed
- Added a private `MessageRouter` that owns per-request response queues,
per-turn notification queues, pending turn-notification replay, and
global notification delivery behind a single stdout reader thread.
- Generated typed notification routing metadata so turn IDs come from
known payload shapes instead of router-side attribute guessing, with
explicit fallback handling for unknown notification payloads.
- Updated sync and async turn streaming so `TurnHandle.stream()`/`run()`
and `stream_text()` consume only notifications for their own turn ID,
while `AsyncAppServerClient` no longer serializes all transport calls
behind one async lock.
- Cleared pending turn-notification buffers when unregistered turns
complete so never-consumed turn handles do not leave stale queues
behind.
- Removed the internal stream-until helper now that turn completion
waiting can register directly with routed turn notifications.
- Updated Python SDK docs and focused tests for concurrent transport
calls, interleaved turn routing, buffered early notifications, unknown
notification routing, async delegation, and routed turn completion
behavior.
## Validation
- `uv run --extra dev ruff format scripts/update_sdk_artifacts.py
src/codex_app_server/_message_router.py src/codex_app_server/client.py
src/codex_app_server/generated/notification_registry.py
tests/test_client_rpc_methods.py
tests/test_public_api_runtime_behavior.py
tests/test_async_client_behavior.py`
- `uv run --extra dev ruff check scripts/update_sdk_artifacts.py
src/codex_app_server/_message_router.py src/codex_app_server/client.py
src/codex_app_server/generated/notification_registry.py
tests/test_client_rpc_methods.py
tests/test_public_api_runtime_behavior.py
tests/test_async_client_behavior.py`
- `uv run --extra dev pytest tests/test_client_rpc_methods.py
tests/test_public_api_runtime_behavior.py
tests/test_async_client_behavior.py`
- `git diff --check`
---------
Co-authored-by: Codex <noreply@openai.com>
## Why
Published Python SDK builds depend on an exact `openai-codex-cli-bin`
runtime package, but the release workflow did not publish that runtime
package to PyPI. That left the SDK packaging story incomplete: release
artifacts could produce Codex binaries, but Python users still needed a
matching wheel carrying the platform-specific runtime and helper
executables.
This PR is stacked on #21787 so release jobs can include helper binaries
in runtime wheels: Linux wheels include `bwrap` for sandbox fallback,
and Windows wheels include the signed sandbox/elevation helpers beside
`codex.exe`.
## What changed
- Builds platform-specific `openai-codex-cli-bin` wheels from signed
release binaries on macOS, Linux, and Windows release runners.
- Packages Linux `bwrap` into musllinux runtime wheels.
- Packages Windows sandbox helper executables into Windows runtime
wheels.
- Uploads runtime wheels as GitHub release assets and publishes them to
PyPI using trusted publishing from the `pypi` GitHub environment.
- Keeps the new Python runtime publish job non-blocking so failures need
follow-up but do not fail the Rust release workflow.
- Pins the PyPA publish action to the `v1.13.0` commit SHA for
reproducible release publishing.
- Documents that runtime wheels are platform wheels published through
PyPI trusted publishing.
## Testing
- `ruby -e 'require "yaml"; ARGV.each { |f| YAML.load_file(f); puts "ok
#{f}" }' .github/workflows/rust-release.yml
.github/workflows/rust-release-windows.yml`
- `git diff --check`
CI is the real end-to-end verification for the release workflow path.
---------
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>
## Summary
Adds an app-server `plugin/skill/read` method for remote plugin skill
markdown. The new method calls the plugin-service skill detail endpoint
and returns `skill_md_contents`, so clients can preview skills for
remote plugins before the bundle is installed locally.
## Why
Uninstalled remote plugin skills do not have local `SKILL.md` files.
Without an on-demand remote read, the desktop plugin details UI cannot
render the skill details modal for those skills.
## Validation
- `just write-app-server-schema`
- `just fmt`
- `cargo test -p codex-app-server-protocol`
- `cargo test -p codex-app-server --test all --
suite::v2::plugin_read::plugin_skill_read_reads_remote_skill_contents_when_remote_plugin_enabled
--exact`
- `just fix -p codex-app-server-protocol -p codex-core-plugins -p
codex-app-server`
**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()`.
