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## Summary Replace Hatchling with uv's build backend for the Python SDK. The backend infers the `src/openai_codex` module from the normalized project name and standard source layout, so no uv-specific package configuration is required. This keeps Python packaging within the uv toolchain already used for dependency management and release builds. A controlled before-and-after PEP 517 comparison produced identical wheel package paths, bytes, permissions, and semantic metadata. The sdist retains the SDK package tree, root README, and project metadata while dropping the unrelated examples README that Hatch included through its broad include matching.
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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.