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## Why `UnavailableDummyTools` kept synthetic placeholder tools alive for historical tool calls whose backing MCP tool was no longer available. That path adds stale model-visible tool specs and special routing at the point where unavailable MCP calls should use ordinary current-tool handling. This removes the runtime backfill instead of preserving a second compatibility lane. ## Is it safe to remove? The unavailable tools were added in #17853 after a CS issue when a previously-called MCP tool failed to load and was omitted from the CS spec. Now that we have tool search, I think this is resolved: - API merges tools from previous TST output into effective tool set so theyre always in CS spec - if an MCP tool surfaced by TST later becomes unavailable, the model can still call it and it will just return model-visible error - both TST output and function call output are dropped on compaction so model will not remember old calls to MCP post compaction ## What changed - Delete unavailable-tool collection, placeholder handler, router/spec plumbing, and obsolete placeholder coverage. - Keep `features.unavailable_dummy_tools` as a removed no-op feature tombstone so existing configs still parse cleanly. - Add an integration-style `tool_search` regression test showing that a deferred MCP tool surfaced through `tool_search` still routes through MCP and returns a model-visible tool-call error rather than `unsupported call`. ## Verification - `cargo test -p codex-core tool_search`
npm i -g @openai/codex
or brew install --cask codex
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
Install globally with your preferred package manager:
# 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.