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## Why Queued inputs previously stored and dispatched without the submitting client's Responses API metadata, losing attribution such as `client_type` when the queued turn started. ## What changed - Accept `responsesapiClientMetadata` when adding or updating queued submissions and expose it on returned queue items. - Persist metadata with the input and forward it when starting a selected item or dispatching an idle queue, including after restoration. - Preserve existing metadata when an update omits it or supplies an empty map; replace it when a non-empty map is supplied. - Keep stored inputs readable by older queue workers and update generated protocol artifacts. ## Testing Extend queue service and app-server tests to cover metadata round trips, preservation and replacement on edits, compatibility with older readers, and forwarding during selected, idle, and restored dispatch. GitOrigin-RevId: 508043b1d3d0298c9af2be8e05b6999de46596a1
OpenAI Codex Python SDK
Build Python applications that start Codex threads, run turns, stream progress, and control workspace access.
Install
Install the SDK:
pip install openai-codex
Quickstart
The SDK reuses your existing Codex authentication when one is already available:
from openai_codex import Codex
with Codex() as codex:
thread = codex.thread_start()
result = thread.run("Explain this repository in three bullets.")
print(result.final_response)
thread.run(...) returns a TurnResult containing the final response,
collected items, and token usage.
Authentication
Existing Codex authentication is reused automatically. To start ChatGPT browser login explicitly:
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)
login.wait()
For API-key login:
with Codex() as codex:
codex.login_api_key("sk-...")
Built-In Help
Use Python's standard help(openai_codex), help(Codex), or
python -m pydoc openai_codex documentation tools.
Documentation
The package is licensed under the repository Apache License 2.0.