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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
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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.