Files
codex/sdk/python/tests/test_public_api_signatures.py
Ahmed Ibrahim eb1cc3824c [codex] Prepare Python SDK beta documentation and package metadata (#24836)
## 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.
2026-05-27 18:29:05 -07:00

558 lines
16 KiB
Python

from __future__ import annotations
import importlib.resources as resources
import inspect
from pathlib import Path
from typing import Any
import tomllib
import openai_codex
import openai_codex.types as public_types
from openai_codex import (
ApprovalMode,
AsyncCodex,
AsyncThread,
AsyncTurnHandle,
Codex,
CodexConfig,
Sandbox,
Thread,
TurnHandle,
TurnResult,
)
from openai_codex._initialize_metadata import validate_initialize_metadata
from openai_codex.types import InitializeResponse
EXPECTED_ROOT_EXPORTS = [
"__version__",
"CodexConfig",
"Codex",
"AsyncCodex",
"ApprovalMode",
"Sandbox",
"ChatgptLoginHandle",
"DeviceCodeLoginHandle",
"AsyncChatgptLoginHandle",
"AsyncDeviceCodeLoginHandle",
"Thread",
"AsyncThread",
"TurnHandle",
"AsyncTurnHandle",
"TurnResult",
"Input",
"InputItem",
"RunInput",
"TextInput",
"ImageInput",
"LocalImageInput",
"SkillInput",
"MentionInput",
"retry_on_overload",
"CodexError",
"TransportClosedError",
"JsonRpcError",
"CodexRpcError",
"ParseError",
"InvalidRequestError",
"MethodNotFoundError",
"InvalidParamsError",
"InternalRpcError",
"ServerBusyError",
"RetryLimitExceededError",
"is_retryable_error",
]
EXPECTED_TYPES_EXPORTS = [
"Account",
"AccountLoginCompletedNotification",
"ApprovalsReviewer",
"AskForApproval",
"CancelLoginAccountResponse",
"CancelLoginAccountStatus",
"GetAccountResponse",
"InitializeResponse",
"JsonObject",
"ModelListResponse",
"Notification",
"Personality",
"PlanType",
"ReasoningEffort",
"ReasoningSummary",
"SandboxMode",
"SandboxPolicy",
"SortDirection",
"ThreadArchiveResponse",
"ThreadCompactStartResponse",
"ThreadItem",
"ThreadListCwdFilter",
"ThreadListResponse",
"ThreadReadResponse",
"ThreadSetNameResponse",
"ThreadSortKey",
"ThreadSource",
"ThreadSourceKind",
"ThreadStartSource",
"ThreadTokenUsage",
"ThreadTokenUsageUpdatedNotification",
"Turn",
"TurnCompletedNotification",
"TurnError",
"TurnInterruptResponse",
"TurnStatus",
"TurnSteerResponse",
]
def _keyword_only_names(fn: object) -> list[str]:
"""Return only user-facing keyword-only parameter names for a public method."""
signature = inspect.signature(fn)
return [
param.name
for param in signature.parameters.values()
if param.kind == inspect.Parameter.KEYWORD_ONLY
]
def _keyword_default(fn: object, name: str) -> object:
"""Return the default value for one keyword parameter on a public method."""
return inspect.signature(fn).parameters[name].default
def _assert_no_any_annotations(fn: object) -> None:
"""Reject loose annotations on public wrapper methods."""
signature = inspect.signature(fn)
for param in signature.parameters.values():
if param.annotation is Any:
raise AssertionError(f"{fn} has public parameter typed as Any: {param.name}")
if signature.return_annotation is Any:
raise AssertionError(f"{fn} has public return annotation typed as Any")
def test_root_exports_codex_config() -> None:
"""The root package should expose the process configuration object."""
assert CodexConfig.__name__ == "CodexConfig"
def test_root_exports_turn_result() -> None:
"""The root package should expose the collected turn result wrapper."""
assert {
"name": TurnResult.__name__,
"fields": list(TurnResult.__dataclass_fields__),
} == {
"name": "TurnResult",
"fields": [
"id",
"status",
"error",
"started_at",
"completed_at",
"duration_ms",
"final_response",
"items",
"usage",
],
}
def test_turn_run_methods_return_turn_result() -> None:
"""Both convenience and handle-based run APIs return the same result shape."""
funcs = [
Thread.run,
TurnHandle.run,
AsyncThread.run,
AsyncTurnHandle.run,
]
assert {fn: inspect.signature(fn).return_annotation for fn in funcs} == dict.fromkeys(
funcs, "TurnResult"
)
def test_turn_input_methods_accept_string_shortcut() -> None:
"""Every public turn-input method should accept strings and typed inputs."""
funcs = [
Thread.run,
Thread.turn,
AsyncThread.run,
AsyncThread.turn,
TurnHandle.steer,
AsyncTurnHandle.steer,
]
assert {fn: inspect.signature(fn).parameters["input"].annotation for fn in funcs} == (
dict.fromkeys(funcs, "RunInput")
)
def test_root_exports_approval_mode() -> None:
"""The root package should expose the high-level approval mode enum."""
assert [(mode.name, mode.value) for mode in ApprovalMode] == [
("deny_all", "deny_all"),
("auto_review", "auto_review"),
]
def test_root_exports_sandbox_presets() -> None:
"""The friendly sandbox API should expose only obvious named presets."""
assert [(sandbox.name, sandbox.value) for sandbox in Sandbox] == [
("read_only", "read-only"),
("workspace_write", "workspace-write"),
("full_access", "full-access"),
]
def test_package_and_default_client_versions_follow_project_version() -> None:
"""The importable package version should stay aligned with pyproject metadata."""
pyproject_path = Path(__file__).resolve().parents[1] / "pyproject.toml"
pyproject = tomllib.loads(pyproject_path.read_text())
assert openai_codex.__version__ == pyproject["project"]["version"]
assert CodexConfig().client_version == openai_codex.__version__
def test_curated_public_api_has_builtin_help_documentation() -> None:
"""The package's normal ``help()`` surface should explain common first-use APIs."""
documented = {
"module": openai_codex,
"Codex": Codex,
"AsyncCodex": AsyncCodex,
"CodexConfig": CodexConfig,
"Thread": Thread,
"AsyncThread": AsyncThread,
"TurnHandle": TurnHandle,
"AsyncTurnHandle": AsyncTurnHandle,
"TurnResult": TurnResult,
"Sandbox": Sandbox,
"thread_start": Codex.thread_start,
"thread_resume": Codex.thread_resume,
"thread_run": Thread.run,
"thread_turn": Thread.turn,
}
assert {name: inspect.getdoc(value) is not None for name, value in documented.items()} == (
dict.fromkeys(documented, True)
)
def test_package_includes_py_typed_marker() -> None:
"""The wheel should advertise that inline type information is available."""
marker = resources.files("openai_codex").joinpath("py.typed")
assert marker.is_file()
def test_package_root_exports_only_public_api() -> None:
"""The package root should expose the supported SDK surface, not internals."""
assert openai_codex.__all__ == EXPECTED_ROOT_EXPORTS
assert {name: hasattr(openai_codex, name) for name in EXPECTED_ROOT_EXPORTS} == dict.fromkeys(
EXPECTED_ROOT_EXPORTS, True
)
assert {
"CodexClient": hasattr(openai_codex, "CodexClient"),
"AsyncCodexClient": hasattr(openai_codex, "AsyncCodexClient"),
"InitializeResponse": hasattr(openai_codex, "InitializeResponse"),
"ThreadStartParams": hasattr(openai_codex, "ThreadStartParams"),
"TurnStartParams": hasattr(openai_codex, "TurnStartParams"),
"TurnCompletedNotification": hasattr(openai_codex, "TurnCompletedNotification"),
"TurnStatus": hasattr(openai_codex, "TurnStatus"),
} == {
"CodexClient": False,
"AsyncCodexClient": False,
"InitializeResponse": False,
"ThreadStartParams": False,
"TurnStartParams": False,
"TurnCompletedNotification": False,
"TurnStatus": False,
}
def test_package_star_import_matches_public_api() -> None:
"""Star imports should follow the same explicit public API list."""
namespace: dict[str, object] = {}
exec("from openai_codex import *", namespace)
exported = set(namespace) - {"__builtins__"}
assert exported == set(EXPECTED_ROOT_EXPORTS)
def test_types_module_exports_curated_public_types() -> None:
"""The public type module should expose Codex protocol models."""
assert public_types.__all__ == EXPECTED_TYPES_EXPORTS
assert {name: hasattr(public_types, name) for name in EXPECTED_TYPES_EXPORTS} == dict.fromkeys(
EXPECTED_TYPES_EXPORTS, True
)
def test_types_star_import_matches_public_types() -> None:
"""Star imports from the type module should match its explicit export list."""
namespace: dict[str, object] = {}
exec("from openai_codex.types import *", namespace)
exported = set(namespace) - {"__builtins__"}
assert exported == set(EXPECTED_TYPES_EXPORTS)
def test_examples_use_public_import_surfaces() -> None:
"""Examples should teach users the public root and type-module imports only."""
examples_root = Path(__file__).resolve().parents[1] / "examples"
private_import_markers = [
"openai_codex.api",
"openai_codex.client",
"openai_codex.generated",
"openai_codex.models",
"openai_codex.retry",
]
offenders = {
str(path.relative_to(examples_root)): marker
for path in examples_root.rglob("*.py")
for marker in private_import_markers
if marker in path.read_text()
}
assert offenders == {}
def test_generated_public_signatures_are_snake_case_and_typed() -> None:
"""Generated convenience methods should expose typed Pythonic keyword names."""
expected = {
Codex.thread_start: [
"approval_mode",
"base_instructions",
"config",
"cwd",
"developer_instructions",
"ephemeral",
"model",
"model_provider",
"personality",
"sandbox",
"service_name",
"service_tier",
"session_start_source",
"thread_source",
],
Codex.thread_list: [
"archived",
"cursor",
"cwd",
"limit",
"model_providers",
"search_term",
"sort_direction",
"sort_key",
"source_kinds",
"use_state_db_only",
],
Codex.thread_resume: [
"approval_mode",
"base_instructions",
"config",
"cwd",
"developer_instructions",
"model",
"model_provider",
"personality",
"sandbox",
"service_tier",
],
Codex.thread_fork: [
"approval_mode",
"base_instructions",
"config",
"cwd",
"developer_instructions",
"ephemeral",
"model",
"model_provider",
"sandbox",
"service_tier",
"thread_source",
],
Thread.turn: [
"approval_mode",
"cwd",
"effort",
"model",
"output_schema",
"personality",
"sandbox",
"service_tier",
"summary",
],
Thread.run: [
"approval_mode",
"cwd",
"effort",
"model",
"output_schema",
"personality",
"sandbox",
"service_tier",
"summary",
],
AsyncCodex.thread_start: [
"approval_mode",
"base_instructions",
"config",
"cwd",
"developer_instructions",
"ephemeral",
"model",
"model_provider",
"personality",
"sandbox",
"service_name",
"service_tier",
"session_start_source",
"thread_source",
],
AsyncCodex.thread_list: [
"archived",
"cursor",
"cwd",
"limit",
"model_providers",
"search_term",
"sort_direction",
"sort_key",
"source_kinds",
"use_state_db_only",
],
AsyncCodex.thread_resume: [
"approval_mode",
"base_instructions",
"config",
"cwd",
"developer_instructions",
"model",
"model_provider",
"personality",
"sandbox",
"service_tier",
],
AsyncCodex.thread_fork: [
"approval_mode",
"base_instructions",
"config",
"cwd",
"developer_instructions",
"ephemeral",
"model",
"model_provider",
"sandbox",
"service_tier",
"thread_source",
],
AsyncThread.turn: [
"approval_mode",
"cwd",
"effort",
"model",
"output_schema",
"personality",
"sandbox",
"service_tier",
"summary",
],
AsyncThread.run: [
"approval_mode",
"cwd",
"effort",
"model",
"output_schema",
"personality",
"sandbox",
"service_tier",
"summary",
],
}
for fn, expected_kwargs in expected.items():
actual = _keyword_only_names(fn)
assert actual == expected_kwargs, f"unexpected kwargs for {fn}: {actual}"
assert all(name == name.lower() for name in actual), (
f"non snake_case kwargs in {fn}: {actual}"
)
_assert_no_any_annotations(fn)
def test_new_thread_methods_default_to_auto_review() -> None:
"""New threads should start with auto-review unless callers opt out."""
funcs = [
Codex.thread_start,
AsyncCodex.thread_start,
]
assert {fn: _keyword_default(fn, "approval_mode") for fn in funcs} == dict.fromkeys(
funcs, ApprovalMode.auto_review
)
def test_existing_thread_methods_default_to_preserving_approval_settings() -> None:
"""Existing thread operations should not serialize approval overrides by default."""
funcs = [
Codex.thread_resume,
Codex.thread_fork,
Thread.turn,
Thread.run,
AsyncCodex.thread_resume,
AsyncCodex.thread_fork,
AsyncThread.turn,
AsyncThread.run,
]
assert {fn: _keyword_default(fn, "approval_mode") for fn in funcs} == dict.fromkeys(funcs)
def test_lifecycle_methods_are_codex_scoped() -> None:
"""Lifecycle operations should hang off the client rather than thread objects."""
assert hasattr(Codex, "thread_resume")
assert hasattr(Codex, "thread_fork")
assert hasattr(Codex, "thread_archive")
assert hasattr(Codex, "thread_unarchive")
assert hasattr(AsyncCodex, "thread_resume")
assert hasattr(AsyncCodex, "thread_fork")
assert hasattr(AsyncCodex, "thread_archive")
assert hasattr(AsyncCodex, "thread_unarchive")
assert not hasattr(Codex, "thread")
assert not hasattr(AsyncCodex, "thread")
assert not hasattr(Thread, "resume")
assert not hasattr(Thread, "fork")
assert not hasattr(Thread, "archive")
assert not hasattr(Thread, "unarchive")
assert not hasattr(AsyncThread, "resume")
assert not hasattr(AsyncThread, "fork")
assert not hasattr(AsyncThread, "archive")
assert not hasattr(AsyncThread, "unarchive")
for fn in (
Codex.thread_archive,
Codex.thread_unarchive,
AsyncCodex.thread_archive,
AsyncCodex.thread_unarchive,
):
_assert_no_any_annotations(fn)
def test_initialize_metadata_parses_user_agent_shape() -> None:
"""Initialize metadata should accept the legacy user-agent-only payload shape."""
payload = InitializeResponse.model_validate({"userAgent": "codex-cli/1.2.3"})
parsed = validate_initialize_metadata(payload)
assert parsed is payload
assert parsed.userAgent == "codex-cli/1.2.3"
assert parsed.serverInfo is not None
assert parsed.serverInfo.name == "codex-cli"
assert parsed.serverInfo.version == "1.2.3"
def test_initialize_metadata_requires_non_empty_information() -> None:
"""Initialize metadata should fail when the runtime gives no identity signal."""
try:
validate_initialize_metadata(InitializeResponse.model_validate({}))
except RuntimeError as exc:
assert "missing required metadata" in str(exc)
else:
raise AssertionError("expected RuntimeError when initialize metadata is missing")