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## What changed - Carry opaque `review_target` values through misalignment errors and expose optional `reviewTarget` in the app-server protocol and generated clients. Preserve the value verbatim and redact it from debug output. - Keep target-based `misalignment_override` metadata on turn requests, preserve it across steering updates, and exclude it from compaction and external MCP metadata. Reject overrides from global Responses metadata while retaining legacy timestamp behavior for per-turn overrides. ## Testing Extend coverage for error propagation, debug and rollout redaction, steering preservation, and metadata filtering. Verify that automatic compaction omits the review target while turn requests before and after compaction retain it. GitOrigin-RevId: 8c1abb076a206ff5927a4acc31bd25e3efc2bff9
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.