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## Why The Python SDK must treat the runtime's initial goal turn and its continuations as one logical operation. That requires a private lifecycle engine before the public API can return the existing turn handle and result types. ## What - start goals by composing the existing clear/set goal RPCs - enforce persisted, idle threads and a bounded startup handshake - coalesce continuation notifications under a stable logical turn ID - aggregate items, usage, timing, and terminal status - support rollover-aware steering, interruption, cancellation, and cleanup - provide equivalent sync and async internals This is the second PR in the stack and intentionally adds no public API. ## Test plan - online CI, including the Python SDK suite - behavioral coverage is added in the following two stack PRs
OpenAI Codex Python SDK (Beta)
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.