Files
codex/sdk/python/docs/getting-started.md
Ahmed Ibrahim 46946bb91c [codex] Stage Python SDK beta versions from release tags (#24872)
## Summary
- Treat `sdk/python` as a development template with source version
`0.0.0-dev`, matching the existing Python runtime packaging pattern.
- Have `python-v*` tags supply the published SDK beta version through
the existing `stage-sdk --sdk-version` path.
- Remove the workflow check requiring a source version bump for each
beta release and remove its now-unused host Python setup step.
- Keep the reviewed runtime dependency pin at
`openai-codex-cli-bin==0.132.0`.
- Remove beta-number-specific documentation so it does not need editing
for each publish.

## Why
The package staging script already writes the release version into the
artifact. Requiring the checked-in SDK template version to match every
tag adds release-only source churn without changing the package users
receive.

## Validation
- Not run locally; relying on online CI for this workflow and metadata
change.

## Release
After this PR lands, publish the next beta by pushing tag
`python-v0.1.0b2` from merged `main`.
2026-05-27 23:24:42 -07:00

4.0 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

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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