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## Why
MCP runtime reuse was keyed by every ready selected-capability
environment, even when an environment contributed no MCP servers or
connectors.
For example:
1. a global stdio MCP is running;
2. a selected remote environment contains only a skill;
3. that environment becomes ready;
4. the MCP and connector projection stays exactly the same;
5. Codex nevertheless rebuilds the MCP manager and restarts the global
stdio process.
That restart can interrupt active calls and discard process-local state
even though nothing about MCP changed.
## What changes
When selected-environment availability changes, Codex now resolves the
candidate MCP and connector projection before deciding whether to
replace the runtime:
- if the winning MCP servers or their ownership change, rebuild as
before;
- if the selected connector snapshot changes, rebuild as before;
- if an enabled MCP is explicitly bound to an environment whose
availability changed, rebuild as before;
- otherwise, keep the exact live manager and processes, and update only
the availability input remembered by the snapshot.
```text
ready selected environments: [] -> [skills-env]
resolved MCP servers: {global_probe} -> {global_probe}
resolved connectors: {} -> {}
result: reuse manager; keep the same process
```
The comparison uses the resolved winning servers and their sources, so
plugin/config ownership remains part of the runtime identity.
## Existing stack coverage
The integration PR directly below this one already covers both rebuild
boundaries: a selected MCP becomes callable and a selected connector
tool becomes model-visible when their environment becomes available. It
also verifies that an unchanged selected MCP runtime keeps its process.
This PR does not add another remote-attachment integration scenario for
the no-change optimization. `environment/add` returns before readiness,
and app-server does not currently expose a deterministic readiness
signal for an environment that contributes only skills. Keeping a
fixed-delay test would add flake risk; adding a new readiness API would
be outside this fix.
## Scope and assumptions
- This does not change skill discovery, World State rendering, or plugin
metadata caching.
- This does not add file watching or hot reload behavior.
- This does not change disconnect/reconnect handling.
- Selected environment IDs and their capability contents retain the
stack's existing stability assumption.
- Delayed `required = true` executor MCP behavior remains out of scope.
6d2168f06a
·
2026-06-26 09:27:41 +01:00
7,882 Commits
Codex CLI is a coding agent from OpenAI that runs locally on your computer.
If you want Codex in your code editor (VS Code, Cursor, Windsurf), install in your IDE.
If you want the desktop app experience, run
codex app or visit the Codex App page.
If you are looking for the cloud-based agent from OpenAI, Codex Web, go to chatgpt.com/codex.
Quickstart
Installing and running Codex CLI
Run the following on Mac or Linux to install Codex CLI:
curl -fsSL https://chatgpt.com/codex/install.sh | sh
Run the following on Windows to install Codex CLI:
powershell -ExecutionPolicy ByPass -c "irm https://chatgpt.com/codex/install.ps1 | iex"
Codex CLI can also be installed via the following package managers:
# Install using npm
npm install -g @openai/codex
# Install using Homebrew
brew install --cask codex
Then simply run codex to get started.
You can also go to the latest GitHub Release and download the appropriate binary for your platform.
Each GitHub Release contains many executables, but in practice, you likely want one of these:
- macOS
- Apple Silicon/arm64:
codex-aarch64-apple-darwin.tar.gz - x86_64 (older Mac hardware):
codex-x86_64-apple-darwin.tar.gz
- Apple Silicon/arm64:
- Linux
- x86_64:
codex-x86_64-unknown-linux-musl.tar.gz - arm64:
codex-aarch64-unknown-linux-musl.tar.gz
- x86_64:
Each archive contains a single entry with the platform baked into the name (e.g., codex-x86_64-unknown-linux-musl), so you likely want to rename it to codex after extracting it.
Using Codex with your ChatGPT plan
Run codex and select Sign in with ChatGPT. We recommend signing into your ChatGPT account to use Codex as part of your Plus, Pro, Business, Edu, or Enterprise plan. Learn more about what's included in your ChatGPT plan.
You can also use Codex with an API key, but this requires additional setup.
Docs
This repository is licensed under the Apache-2.0 License.