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## Why MCP servers registered under the same name in different environments need distinct inventory, routing, and status reporting. ## What changed - Keep MCP inventory and runtime status keyed by registration scope so same-named servers remain separate. - Add optional `environmentId` selectors for status lookup, tool calls, resource reads, and OAuth login. Omitting the selector preserves existing name-only routing. - Carry environment identity through startup notifications, elicitation requests, and tool-call history, and display it in the TUI. - Support `/mcp login <name> --environment <id>` and update generated protocol schemas and SDK types. ## Testing Add integration coverage for two environments with identically named MCP servers, tools, and resource URIs. Verify separate inventory, explicit environment routing, legacy routing when the selector is omitted, and errors for unknown environments. Update protocol and TUI tests for environment identity. GitOrigin-RevId: 074a3db10549438cb6aff33eb7bed10791adae4d
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.