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## Why Clients need widget presentation details to render MCP Apps without waiting for the full MCP catalog, including when replaying saved history. ## What changed - Add `mcpToolCall.mcpAppUi` with the invoked descriptor's `resourceUri` and `preferredModelDisplayMode`, and carry it through tool-call events and saved history. - Support `fullscreen` and default to `inline` when the display preference is missing or unsupported. - Keep existing resource URI fields for compatibility. Leave `mcpAppUi` null for older history and tools that declare widgets only in result metadata, where clients still use catalog discovery. - Update protocol schemas, TypeScript and Python types, and app-server documentation. ## Testing Add parameterized integration coverage for fullscreen, missing and unsupported preferences, legacy URI metadata, and result-only widgets, verifying consistent tool events and preservation across session resume. GitOrigin-RevId: 2a9bed804dcea8c2b4903b8406fa6710681f7f5e
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.