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Ahmed Ibrahim f0166cadbb [codex] Return TurnResult from Python turn handles (#23151 )

## Why

`TurnHandle.run()` returned the raw app-server `Turn`, whose live
start/completed payloads do not include loaded `items`, so users saw
empty `items` after starting a turn. That made the handle-based path
behave differently from `Thread.run(...)`, and pushed examples toward
persisted-thread reads plus helper extraction.

This PR makes the run APIs standalone: starting a turn and running it
returns collected turn data directly, or fails visibly when required
stream events are missing.

## What Changed

- Replaces the public `RunResult` export with `TurnResult`.
- Adds turn metadata to `TurnResult`: `id`, `status`, `error`,
`started_at`, `completed_at`, and `duration_ms`, alongside
`final_response`, `items`, and `usage`.
- Changes `TurnHandle.run()` and `AsyncTurnHandle.run()` to consume
stream events with the same collector used by `Thread.run(...)`.
- Exports `TurnError` from `openai_codex.types` for the new result
shape.
- Updates tests, examples, docs, and the walkthrough notebook to use
`result.final_response` and `result.items` directly.
- Removes persisted-thread helper paths and placeholder/skipped control
flows from the public examples and notebook.

## Verification

- `python3 -m py_compile ...` over changed SDK, example, and test Python
files.
- `python3 -c "import json;
json.load(open('sdk/python/notebooks/sdk_walkthrough.ipynb'))"`
- `git diff --check`
- `PYTHONPATH=sdk/python/src python3 -c ...` import/signature smoke for
`TurnResult`, `TurnHandle.run`, and `AsyncTurnHandle.run`.

2026-05-17 06:17:22 -07:00

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OpenAI Codex 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-server’s camelCase wire format. The package root exports the ergonomic client API; public app-server value and event types live in openai_codex.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. Pass AppServerConfig(codex_bin=...) only when you intentionally want to run against a specific local app-server binary.

Quickstart

from openai_codex import Codex

with Codex() as codex:
    # Call login_api_key(...) first when this app-server session is not
    # already authenticated.
    thread = codex.thread_start(model="gpt-5")
    result = thread.run("Say hello in one sentence.")
    print(result.final_response)
    print(len(result.items))

thread.run(...) and thread.turn(...).run() return TurnResult. Its final_response is None when the turn completes without a final-answer or phase-less assistant message item.

Use the auth helper that matches your app:

from openai_codex import Codex

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

Interactive ChatGPT login returns a handle. Open the provided URL or device-code page, then wait for the matching completion event:

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

Use login_chatgpt_device_code() for device-code auth, handle.cancel() to stop an in-progress interactive login, and logout() to clear the active app-server account session.

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

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.

Compatibility and versioning

Package: openai-codex
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.

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