[3/8] Run Python SDK tests in CI#21895
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## 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>
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Make the SDK artifact generator fetch schema from the pinned runtime package, regenerate the checked-in Python types from that schema, and assert generated artifacts stay up to date. Co-authored-by: Codex <noreply@openai.com>
Co-authored-by: Codex <noreply@openai.com>
Add a separate Python SDK runner that installs the pinned musl runtime wheel in an Alpine Python container and runs the SDK pytest suite in parallel with existing SDK checks. Co-authored-by: Codex <noreply@openai.com>
Co-authored-by: Codex <noreply@openai.com>
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## 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>
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Why
The Python SDK stack now depends on packaging metadata, pinned runtime wheels, generated artifacts, async behavior, and stream interleaving. Those checks need to run in CI so future changes cannot bypass the SDK test suite.
What
python-sdkjob to.github/workflows/sdk.yml.python:3.12-alpineso dependency resolution exercises the pinned musl runtime wheel.Stack
[1/8]Pin Python SDK runtime dependency[2/8]Generate Python SDK types from pinned runtime[3/8]Run Python SDK tests in CI[4/8]Define Python SDK public API surface[5/8]Rename Python SDK package toopenai-codex[6/8]Add high-level Python SDK approval mode[7/8]Add Python SDK app-server integration harness[8/8]Add Python SDK Ruff formattingVerification
uv sync --extra dev --frozenand runs the Python SDK pytest suite.