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## What changed Accept `[network_proxy]` in `requirements.toml`, retaining `[experimental_network]` as a compatibility alias. Reject both names in a single layer and normalize them before merging across layers so precedence and source tracking are preserved. Honor the new spelling during credential broker project discovery, display `network_proxy` in debug configuration, and update diagnostics and documentation. Document the distinction between managed requirements, proxy feature configuration, and permission profiles. Policy publishers must keep using `[experimental_network]` until all clients and policy validation layers support the new spelling. ## Testing Add coverage for alias equivalence, duplicate rejection, cross-layer precedence and sources, and broker project discovery. Exercise both spellings in proxy configuration, network approval routing, app-server requirements responses, and Windows machine policy validation. GitOrigin-RevId: 5c5bb82bd4b6b1431aa97f27248775820eae6302
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.