Files
codex/sdk/python/README.md
Ahmed Ibrahim b4bc02439f [4/8] Define Python SDK public API surface (#21896)
## 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>
2026-05-12 00:57:44 +03:00

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Codex App Server Python SDK (Experimental)

Experimental Python SDK for codex app-server JSON-RPC v2 over stdio, with a small default surface optimized for real scripts and apps.

The generated wire-model layer is sourced from the pinned openai-codex-cli-bin runtime package and exposed as Pydantic models with snake_case Python fields that serialize back to the app-servers camelCase wire format. The package root exports the ergonomic client API; public app-server value and event types live in codex_app_server.types.

Install

cd sdk/python
uv sync
source .venv/bin/activate

Published SDK builds pin an exact openai-codex-cli-bin runtime dependency with the same version as the SDK. For local repo development, either pass AppServerConfig(codex_bin=...) to point at a local build explicitly, or use the repo examples/notebook bootstrap which installs the pinned runtime package automatically.

Quickstart

from codex_app_server import Codex

with Codex() as codex:
    thread = codex.thread_start(model="gpt-5")
    result = thread.run("Say hello in one sentence.")
    print(result.final_response)
    print(len(result.items))

result.final_response is None when the turn completes without a final-answer or phase-less assistant message item.

Docs map

  • Golden path tutorial: docs/getting-started.md
  • API reference (signatures + behavior): docs/api-reference.md
  • Common decisions and pitfalls: docs/faq.md
  • Runnable examples index: examples/README.md
  • Jupyter walkthrough notebook: notebooks/sdk_walkthrough.ipynb

Examples

Start here:

cd sdk/python
python examples/01_quickstart_constructor/sync.py
python examples/01_quickstart_constructor/async.py

Runtime packaging

The repo no longer checks codex binaries into sdk/python.

Published SDK builds are pinned to an exact openai-codex-cli-bin package version, and that runtime package carries the platform-specific binary for the target wheel. The SDK package version and runtime package version must match.

For local repo development, the checked-in sdk/python-runtime package is only a template for staged release artifacts. Editable installs should use an explicit codex_bin override for manual SDK usage; the repo examples and notebook bootstrap the pinned runtime package automatically.

Maintainer workflow

cd sdk/python
uv sync
python scripts/update_sdk_artifacts.py generate-types
python scripts/update_sdk_artifacts.py \
  stage-sdk \
  /tmp/codex-python-release/openai-codex-app-server-sdk \
  --codex-version <codex-release-tag-or-pep440-version>
python scripts/update_sdk_artifacts.py \
  stage-runtime \
  /tmp/codex-python-release/openai-codex-cli-bin \
  /path/to/codex \
  --codex-version <codex-release-tag-or-pep440-version>

Pass --platform-tag ... to stage-runtime when the wheel should be tagged for a Rust target that differs from the Python build host. The intended one-off matrix is macosx_11_0_arm64, macosx_10_9_x86_64, musllinux_1_1_aarch64, musllinux_1_1_x86_64, win_arm64, and win_amd64.

This supports the CI release flow:

  • run generate-types before packaging
  • stage openai-codex-app-server-sdk once with an exact openai-codex-cli-bin==... dependency
  • stage openai-codex-cli-bin on each supported platform runner with the same pinned runtime version
  • build and publish openai-codex-cli-bin as platform wheels only through PyPI trusted publishing; do not publish an sdist

Compatibility and versioning

  • Package: openai-codex-app-server-sdk
  • Runtime package: openai-codex-cli-bin
  • Python: >=3.10
  • Target protocol: Codex app-server JSON-RPC v2
  • Versioning rule: the SDK package version is the underlying Codex runtime version

Notes

  • Codex() is eager and performs startup + initialize in the constructor.
  • Use context managers (with Codex() as codex:) to ensure shutdown.
  • Prefer thread.run("...") for the common case. Use thread.turn(...) when you need streaming, steering, or interrupt control.
  • For transient overload, use retry_on_overload from the package root.