**Why We Did This** - The goal is to reduce MCP tool context pollution by not exposing the full MCP tool list up front - It forces an explicit discovery step (`search_tool_bm25`) so the model narrows tool scope before making MCP calls, which helps relevance and lowers prompt/tool clutter. **What It Changed** - Added a new experimental feature flag `search_tool` in `core/src/features.rs:90` and `core/src/features.rs:430`. - Added config/schema support for that flag in `core/config.schema.json:214` and `core/config.schema.json:1235`. - Added BM25 dependency (`bm25`) in `Cargo.toml:129` and `core/Cargo.toml:23`. - Added new tool handler `search_tool_bm25` in `core/src/tools/handlers/search_tool_bm25.rs:18`. - Registered the handler and tool spec in `core/src/tools/handlers/mod.rs:11` and `core/src/tools/spec.rs:780` and `core/src/tools/spec.rs:1344`. - Extended `ToolsConfig` to carry `search_tool` enablement in `core/src/tools/spec.rs:32` and `core/src/tools/spec.rs:56`. - Injected dedicated developer instructions for tool-discovery workflow in `core/src/codex.rs:483` and `core/src/codex.rs:1976`, using `core/templates/search_tool/developer_instructions.md:1`. - Added session state to store one-shot selected MCP tools in `core/src/state/session.rs:27` and `core/src/state/session.rs:131`. - Added filtering so when feature is enabled, only selected MCP tools are exposed on the next request (then consumed) in `core/src/codex.rs:3800` and `core/src/codex.rs:3843`. - Added E2E suite coverage for enablement/instructions/hide-until-search/one-turn-selection in `core/tests/suite/search_tool.rs:72`, `core/tests/suite/search_tool.rs:109`, `core/tests/suite/search_tool.rs:147`, and `core/tests/suite/search_tool.rs:218`. - Refactored test helper utilities to support config-driven tool collection in `core/tests/suite/tools.rs:281`. **Net Behavioral Effect** - With `search_tool` **off**: existing MCP behavior (tools exposed normally). - With `search_tool` **on**: MCP tools start hidden, model must call `search_tool_bm25`, and only returned `selected_tools` are available for the next model call. |
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|---|---|---|
| .devcontainer | ||
| .github | ||
| .vscode | ||
| codex-cli | ||
| codex-rs | ||
| docs | ||
| patches | ||
| scripts | ||
| sdk/typescript | ||
| shell-tool-mcp | ||
| third_party/wezterm | ||
| .bazelignore | ||
| .bazelrc | ||
| .bazelversion | ||
| .codespellignore | ||
| .codespellrc | ||
| .gitignore | ||
| .markdownlint-cli2.yaml | ||
| .npmrc | ||
| .prettierignore | ||
| .prettierrc.toml | ||
| AGENTS.md | ||
| announcement_tip.toml | ||
| BUILD.bazel | ||
| CHANGELOG.md | ||
| cliff.toml | ||
| defs.bzl | ||
| flake.lock | ||
| flake.nix | ||
| justfile | ||
| LICENSE | ||
| MODULE.bazel | ||
| MODULE.bazel.lock | ||
| NOTICE | ||
| package.json | ||
| pnpm-lock.yaml | ||
| pnpm-workspace.yaml | ||
| rbe.bzl | ||
| README.md | ||
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 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, Team, 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.