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1ae9867296
## Why `tool_search` still carries the server-specific result-cap path added in #17684 for `computer-use`: when the model omitted `limit`, a matching result expanded the search to 20 and then `limit_results_by_bucket` applied per-bucket caps. That makes default result handling depend on a one-off server exception instead of the single `TOOL_SEARCH_DEFAULT_LIMIT` path. This PR removes that custom branch so omitted `limit` values use the ordinary global default consistently. The implementation being retired is the pre-change bucketed search path in [`tool_search.rs`](https://github.com/openai/codex/blob/5e3ee5eddfa5333f2e0b011880abf0cbf92bd295/codex-rs/core/src/tools/handlers/tool_search.rs#L121-L190). ## What changed - Collapse `ToolSearchHandler::search` back to one BM25 search with the resolved limit. - Remove `limit_results_by_bucket`, the `computer-use` constants, and the omitted-limit plumbing that only existed for the override. - Drop dead `ToolSearchEntry::limit_bucket` metadata from deferred MCP and dynamic search entries. - Remove tests and helpers that only asserted the deleted override behavior. - Add direct handler-level unit coverage for omitted/default and explicit `tool_search` result limits. ## Validation - `cargo test -p codex-core tool_search` - The matching unit tests passed, including the new omitted/default and explicit result-limit coverage. - The broader `--test all` search-tool fixture phase then failed before sending mocked response requests in `tool_search_indexes_only_enabled_non_app_mcp_tools` and `tool_search_uses_non_app_mcp_server_instructions_as_namespace_description`. - `cargo test -p codex-core` - The touched tool-search coverage passed before the run later aborted in `tools::handlers::multi_agents::tests::tool_handlers_cascade_close_and_resume_and_keep_explicitly_closed_subtrees_closed` with a stack overflow.
1ae9867296
·
2026-05-13 00:46:07 +00:00
6,421 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.