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## What changed
Allow experimental clients to request `deferOutput: {"commandExecution": true}` in `thread/items/list` for a specific `turnId`. Completed commands with a recorded completion time, exit code zero, and nonempty saved output return `outputDeferred: true` and `item.aggregatedOutput: null`. Clients can retrieve the complete output through `thread/items/read` using the turn and item IDs.
Keep full output by default and for listings across turns. Make conversion from `ThreadItemEntry` to `ThreadItem` fallible so Rust consumers detect deferred output instead of treating an incomplete item as complete.
## Testing
Add integration coverage for experimental capability gating, default and disabled options, command status and output eligibility, listings across turns, deferred-item conversion, and full output retrieval by item ID.
GitOrigin-RevId: d6bfac34bb68f7e3b327fd5553270ed6d0fe87cf
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.