mirror of
https://github.com/pchuan98/codex.git
synced 2026-07-01 00:31:56 +08:00
sayan-oai
b9e8df47da
## Why MCP servers can provide `instructions` that explain what their tools are for. Directly exposed MCP namespaces already use those instructions when a connector description is not available, but deferred `tool_search` results did not preserve that fallback. The direct path falls back from connector metadata to server instructions, while the deferred path only carried `connector_description` and otherwise fell back to generic namespace text. That meant a plain MCP server could provide useful model-facing guidance and still appear as `Tools in the X namespace.` whenever it was discovered lazily through `tool_search`. ## What changed - Store one model-facing `namespace_description` on `ToolInfo`, using connector descriptions for connector-backed tools and server instructions for plain MCP servers. - Thread that namespace description through the `tool_search` source list, search indexing, and returned namespace metadata. - Add an end-to-end regression test for deferred non-app MCP search results exposing server instructions as the namespace description. ## Verification - `cargo test -p codex-tools search_tool_description_lists_each_mcp_source_once --lib` - `cargo test -p codex-core --test all tool_search_uses_non_app_mcp_server_instructions_as_namespace_description`
b9e8df47da
·
2026-05-04 19:36:07 +00:00
6,136 Commits
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.