Files
codex/sdk/python/docs/getting-started.md
T
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

4.1 KiB

Getting Started

This guide gets a published OpenAI Codex Python SDK beta installation running with a multi-turn thread.

1. Install

Install the SDK:

pip install openai-codex

For a reproducible install of this release:

pip install openai-codex==0.1.0b1

Requirements:

  • Python >=3.10
  • An existing Codex account session, or one of the login flows below

The SDK installs its compatible openai-codex-cli-bin runtime dependency automatically. While beta releases are the only published SDK releases, this normal install command selects the latest beta. After a stable release exists, use pip install --pre openai-codex to opt into a newer prerelease.

2. Authenticate When Needed

Existing Codex authentication is reused automatically. For ChatGPT browser login:

from openai_codex import Codex

with Codex() as codex:
    login = codex.login_chatgpt()
    print(login.auth_url)
    print(login.wait().success)

For device-code login:

with Codex() as codex:
    login = codex.login_chatgpt_device_code()
    print(login.verification_url, login.user_code)
    print(login.wait().success)

For API-key login:

with Codex() as codex:
    codex.login_api_key("sk-...")
    print(codex.account().account)

3. Run A Turn

from openai_codex import Codex, Sandbox

with Codex() as codex:
    thread = codex.thread_start(sandbox=Sandbox.workspace_write)
    result = thread.run("Say hello in one sentence.")

    print("Thread:", thread.id)
    print("Text:", result.final_response)
    print("Items:", len(result.items))

Thread.run(...) starts a turn, waits for completion, and returns TurnResult. Plain strings are shorthand for TextInput(...).

Use Thread.turn(...) when you need a TurnHandle for streaming, steering, or interrupting an active turn.

4. Choose Sandbox Access

Use one enum for the initial thread and later turn overrides:

from openai_codex import Codex, Sandbox

with Codex() as codex:
    thread = codex.thread_start(sandbox=Sandbox.workspace_write)
    thread.run("Make the requested changes.")
    review = thread.run("Review the diff only.", sandbox=Sandbox.read_only)

Available presets:

  • Sandbox.read_only: read files without allowing writes.
  • Sandbox.workspace_write: read files and write inside the workspace and configured writable roots; this is the normal default for workspace work.
  • Sandbox.full_access: run without filesystem access restrictions.

When sandbox= is omitted, Codex uses its configured default. A turn override also applies to subsequent turns on that thread.

5. Continue A Thread

from openai_codex import Codex

with Codex() as codex:
    thread = codex.thread_start()
    thread.run("Summarize Rust ownership in two bullets.")
    result = thread.run("Now explain it to a Python developer.")
    print(result.final_response)

To resume a stored thread later:

with Codex() as codex:
    thread = codex.thread_resume("thr_123")
    print(thread.run("Continue where we left off.").final_response)

6. Use The Async Client

import asyncio

from openai_codex import AsyncCodex, Sandbox


async def main() -> None:
    async with AsyncCodex() as codex:
        thread = await codex.thread_start(sandbox=Sandbox.workspace_write)
        result = await thread.run("Continue where we left off.")
        print(result.final_response)


asyncio.run(main())

7. Get Help

Python's built-in documentation tools cover the curated SDK surface:

import openai_codex
from openai_codex import Codex, CodexConfig

help(openai_codex)
help(Codex)
help(CodexConfig)
python -m pydoc openai_codex

Developing From This Repository

Contributors working from a checkout can install development dependencies from the repository:

cd sdk/python
uv sync --extra dev
source .venv/bin/activate

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