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## What changed
Allow `mcpServer/resource/read` to specify `target: {connectorId, linkId}` for direct hosted app reads without tool discovery, when supported by the backend. Require an explicit `linkId`: a string selects an account, while `null` requests no-auth access subject to backend policy.
Restrict direct targets to `codex_apps` and reject empty connector IDs, empty link IDs, and synthetic link IDs. Preserve originating app/account scope when `originCallId` and `threadId` are supplied, and retain discovery when `target` is omitted.
Update protocol schemas and TypeScript and Python models, preserving required-but-nullable `linkId` semantics in Python code generation.
## Testing
Extend resource-read tests to check target metadata with and without a thread, including explicit no-auth targets and omitted targets. Add Python model tests for string and null `linkId` values and rejection of a missing `linkId`.
GitOrigin-RevId: 8cf5595fbdd937193aeb529901fc95299f6e18ad
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.