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Abhinav
305825abd9
## Summary Lifecycle hooks currently treat `PreToolUse`, `PostToolUse`, and `PermissionRequest` as Bash-only flows - hook schema constrains `tool_name` to `Bash` - hook input assumes a command-shaped `tool_input` - core hook dispatch path passes only shell command strings That means hooks cannot target MCP tools even though MCP tool names are model-visible and stable This change generalizes those hook paths so they can match and receive payloads for MCP tools while preserving the existing Bash behavior. ## Reviewer Notes I think these are the key files - `codex-rs/core/src/tools/handlers/mcp.rs` - `codex-rs/core/src/mcp_tool_call.rs` Otherwise the changes across apply_patch, shell, and unified_exec are mainly to rewire everything to be `tool_input` based instead of just `command` so that it'll make sense for MCP tools. ## Changes - Allow `PreToolUse`, `PostToolUse`, and `PermissionRequest` hook inputs to carry arbitrary `tool_name` and `tool_input` values instead of hard-coding `Bash` and command-only payloads. - Add MCP hook payload support through `McpHandler`, using the model-visible tool name from `ToolInvocation` and the raw MCP arguments as `tool_input`. - Include MCP tool responses in `PostToolUse` by serializing `McpToolOutput` into the hook response payload. - Run `PermissionRequest` hooks for MCP approval requests after remembered approval checks and before falling back to user-facing MCP elicitation. - Preserve exact matching for literal hook matchers like `Bash` and `mcp__memory__create_entities`, while keeping regex matcher support for patterns like `mcp__memory__.*` and `mcp__.*__write.*`. --------- Co-authored-by: Andrei Eternal <eternal@openai.com> Co-authored-by: Codex <noreply@openai.com>
305825abd9
·
2026-04-23 07:33:57 +00:00
5,718 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.
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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.