mirror of
https://github.com/openai/codex.git
synced 2026-05-23 12:34:25 +00:00
[2/8] Generate Python SDK types from pinned runtime (#21893)
## 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>
This commit is contained in:
@@ -16,6 +16,7 @@ ROOT = Path(__file__).resolve().parents[1]
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def _load_update_script_module():
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"""Load the maintenance script as a module so tests exercise real helpers."""
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script_path = ROOT / "scripts" / "update_sdk_artifacts.py"
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spec = importlib.util.spec_from_file_location("update_sdk_artifacts", script_path)
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if spec is None or spec.loader is None:
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@@ -27,6 +28,7 @@ def _load_update_script_module():
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def _load_runtime_setup_module():
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"""Load runtime setup without importing the SDK package under test."""
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runtime_setup_path = ROOT / "_runtime_setup.py"
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spec = importlib.util.spec_from_file_location("_runtime_setup", runtime_setup_path)
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if spec is None or spec.loader is None:
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@@ -40,11 +42,13 @@ def _load_runtime_setup_module():
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def test_generation_has_single_maintenance_entrypoint_script() -> None:
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"""Keep artifact workflows routed through one script instead of side entrypoints."""
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scripts = sorted(p.name for p in (ROOT / "scripts").glob("*.py"))
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assert scripts == ["update_sdk_artifacts.py"]
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def test_generate_types_wires_all_generation_steps() -> None:
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"""The type generation command should refresh every schema-derived artifact."""
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source = (ROOT / "scripts" / "update_sdk_artifacts.py").read_text()
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tree = ast.parse(source)
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@@ -52,7 +56,8 @@ def test_generate_types_wires_all_generation_steps() -> None:
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(
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node
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for node in tree.body
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if isinstance(node, ast.FunctionDef) and node.name == "generate_types"
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if isinstance(node, ast.FunctionDef)
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and node.name == "generate_types_from_schema_dir"
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),
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None,
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)
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@@ -72,19 +77,19 @@ def test_generate_types_wires_all_generation_steps() -> None:
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]
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def test_schema_normalization_only_flattens_string_literal_oneofs() -> None:
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def _load_runtime_schema_bundle(tmp_path: Path) -> dict:
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"""Ask the pinned runtime package for a real schema bundle used by tests."""
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script = _load_update_script_module()
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schema = json.loads(
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(
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ROOT.parent.parent
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/ "codex-rs"
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/ "app-server-protocol"
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/ "schema"
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/ "json"
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/ "codex_app_server_protocol.v2.schemas.json"
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).read_text()
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)
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schema_dir = script.generate_schema_from_pinned_runtime(tmp_path / "schema")
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return json.loads(script.schema_bundle_path(schema_dir).read_text())
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def test_schema_normalization_only_flattens_string_literal_oneofs(
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tmp_path: Path,
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) -> None:
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"""Schema normalization should only flatten the enum-shaped oneOf variants."""
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script = _load_update_script_module()
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schema = _load_runtime_schema_bundle(tmp_path)
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definitions = schema["definitions"]
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flattened = [
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name
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@@ -94,27 +99,23 @@ def test_schema_normalization_only_flattens_string_literal_oneofs() -> None:
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]
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assert flattened == [
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"AuthMode",
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"CommandExecOutputStream",
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"ExperimentalFeatureStage",
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"InputModality",
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"MessagePhase",
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"TurnItemsView",
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"PluginAvailability",
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"AuthMode",
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"InputModality",
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"ExperimentalFeatureStage",
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"CommandExecOutputStream",
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"ProcessOutputStream",
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]
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def test_python_codegen_schema_annotation_adds_stable_variant_titles() -> None:
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def test_python_codegen_schema_annotation_adds_stable_variant_titles(
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tmp_path: Path,
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) -> None:
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"""Schema annotations should give generated protocol classes stable names."""
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script = _load_update_script_module()
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schema = json.loads(
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(
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ROOT.parent.parent
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/ "codex-rs"
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/ "app-server-protocol"
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/ "schema"
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/ "json"
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/ "codex_app_server_protocol.v2.schemas.json"
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).read_text()
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)
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schema = _load_runtime_schema_bundle(tmp_path)
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script._annotate_schema(schema)
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definitions = schema["definitions"]
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@@ -186,6 +187,25 @@ def test_runtime_distribution_name_is_consistent() -> None:
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)
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def test_source_sdk_package_pins_published_runtime() -> None:
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"""The source package metadata should pin the runtime wheel that ships schemas."""
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script = _load_update_script_module()
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pyproject = tomllib.loads((ROOT / "pyproject.toml").read_text())
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assert {
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"sdk_version": pyproject["project"]["version"],
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"runtime_pin": script.pinned_runtime_version(),
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"dependencies": pyproject["project"]["dependencies"],
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} == {
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"sdk_version": "0.131.0a4",
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"runtime_pin": "0.131.0a4",
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"dependencies": [
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"pydantic>=2.12",
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"openai-codex-cli-bin==0.131.0a4",
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],
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}
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def test_release_metadata_retries_without_invalid_auth(
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monkeypatch: pytest.MonkeyPatch,
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) -> None:
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@@ -422,9 +442,7 @@ def test_runtime_resource_binaries_are_included_by_wheel_config(
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pyproject = tomllib.loads((staged / "pyproject.toml").read_text())
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assert {
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"include": pyproject["tool"]["hatch"]["build"]["targets"]["wheel"]["include"],
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"helper": (
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staged / "src" / "codex_cli_bin" / "bin" / "helper"
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).read_text(),
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"helper": (staged / "src" / "codex_cli_bin" / "bin" / "helper").read_text(),
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} == {
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"include": ["src/codex_cli_bin/bin/**"],
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"helper": "fake helper\n",
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@@ -50,6 +50,7 @@ def test_generated_v2_bundle_has_single_shared_plan_type_definition() -> None:
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def test_thread_resume_response_accepts_auto_review_reviewer() -> None:
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"""Generated response models should keep accepting the auto review enum value."""
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response = ThreadResumeResponse.model_validate(
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{
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"approvalPolicy": "on-request",
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@@ -66,6 +67,8 @@ def test_thread_resume_response_accepts_auto_review_reviewer() -> None:
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"id": "thread-1",
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"modelProvider": "openai",
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"preview": "",
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# The pinned runtime schema requires the session id on threads.
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"sessionId": "session-1",
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"source": "cli",
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"status": {"type": "idle"},
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"turns": [],
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@@ -1,5 +1,6 @@
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from __future__ import annotations
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import importlib.metadata
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import os
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import subprocess
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import sys
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@@ -14,6 +15,7 @@ GENERATED_TARGETS = [
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def _snapshot_target(root: Path, rel_path: Path) -> dict[str, bytes] | bytes | None:
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"""Capture one generated artifact so regeneration drift is easy to compare."""
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target = root / rel_path
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if not target.exists():
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return None
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@@ -28,16 +30,22 @@ def _snapshot_target(root: Path, rel_path: Path) -> dict[str, bytes] | bytes | N
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def _snapshot_targets(root: Path) -> dict[str, dict[str, bytes] | bytes | None]:
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"""Capture all checked-in generated artifacts before and after regeneration."""
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return {
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str(rel_path): _snapshot_target(root, rel_path) for rel_path in GENERATED_TARGETS
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str(rel_path): _snapshot_target(root, rel_path)
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for rel_path in GENERATED_TARGETS
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}
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def test_generated_files_are_up_to_date():
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"""Regenerating from the pinned runtime package should leave artifacts unchanged."""
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before = _snapshot_targets(ROOT)
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# Regenerate contract artifacts via single maintenance entrypoint.
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# Regenerate contract artifacts via the pinned runtime package, not a local
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# app-server binary from the checkout or CI environment.
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assert importlib.metadata.version("openai-codex-cli-bin") == "0.131.0a4"
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env = os.environ.copy()
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env.pop("CODEX_EXEC_PATH", None)
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python_bin = str(Path(sys.executable).parent)
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env["PATH"] = f"{python_bin}{os.pathsep}{env.get('PATH', '')}"
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@@ -82,6 +82,7 @@ def _item_completed_notification(
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text: str = "final text",
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phase: MessagePhase | None = None,
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) -> Notification:
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"""Build a realistic completed-item notification accepted by generated models."""
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item: dict[str, object] = {
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"id": "item-1",
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"text": text,
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@@ -93,6 +94,8 @@ def _item_completed_notification(
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method="item/completed",
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payload=ItemCompletedNotification.model_validate(
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{
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# The pinned runtime schema requires completion timestamps.
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"completedAtMs": 1,
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"item": item,
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"threadId": thread_id,
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"turnId": turn_id,
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@@ -54,6 +54,7 @@ def test_package_includes_py_typed_marker() -> None:
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def test_generated_public_signatures_are_snake_case_and_typed() -> None:
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"""Generated convenience methods should expose typed Pythonic keyword names."""
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expected = {
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Codex.thread_start: [
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"approval_policy",
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@@ -70,6 +71,7 @@ def test_generated_public_signatures_are_snake_case_and_typed() -> None:
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"service_name",
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"service_tier",
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"session_start_source",
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"thread_source",
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],
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Codex.thread_list: [
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"archived",
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@@ -108,6 +110,7 @@ def test_generated_public_signatures_are_snake_case_and_typed() -> None:
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"model_provider",
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"sandbox",
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"service_tier",
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"thread_source",
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],
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Thread.turn: [
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"approval_policy",
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@@ -148,6 +151,7 @@ def test_generated_public_signatures_are_snake_case_and_typed() -> None:
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"service_name",
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"service_tier",
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"session_start_source",
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"thread_source",
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],
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AsyncCodex.thread_list: [
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"archived",
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@@ -186,6 +190,7 @@ def test_generated_public_signatures_are_snake_case_and_typed() -> None:
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"model_provider",
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"sandbox",
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"service_tier",
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"thread_source",
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],
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AsyncThread.turn: [
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"approval_policy",
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