Celia Chen 464ab40dfa feat: best-effort compact large tool schemas (#23904)
## Why

The `dev/cc/ref-def` branch preserves richer JSON Schema detail for
connector tools, including `$defs` and nested shapes. That improves
fidelity, but it pushes the largest connector schemas well past the
intended tool-schema budget. This PR adds a best-effort compaction pass
for unusually large tool input schemas so the p99 and max tails stay
small while ordinary schemas are left alone.

## What Changed

- Added best-effort large-schema compaction in
`codex-rs/tools/src/json_schema.rs` after schema sanitization and
definition pruning.
- Compaction runs as a waterfall only while the compact JSON budget
proxy is exceeded:
  1. Strip schema `description` metadata.
  2. Drop root `$defs` / `definitions`.
  3. Collapse deep nested complex schema objects to `{}`.
- Kept top-level argument names and immediate schema shape where
possible.

## Corpus Results

Scope: 2,025 schemas under `golden_schemas`, all parsed successfully.
Token count is `o200k_base` over compact JSON from
`parse_tool_input_schema`.

| Percentile | Before `origin/main` `4dbca61e20` | After branch
`dev/cc/ref-def` `f9bf071758` | After this PR |
|---|---:|---:|---:|
| p0 | 9 | 9 | 9 |
| p10 | 59 | 63 | 63 |
| p25 | 81 | 86 | 86 |
| p50 | 114 | 127 | 125 |
| p75 | 174 | 205 | 202 |
| p90 | 295 | 335 | 322 |
| p95 | 391 | 526 | 422 |
| p99 | 794 | 1,303 | 689 |
| max | 2,836 | 3,337 | 887 |

After this PR, `0 / 2,025` schemas are over 1k tokens.

### Compaction Savings

These are cumulative waterfall stages over the same corpus. Later passes
only run for schemas that are still over the compact JSON budget proxy.

| Stage | Total tokens | Step savings | Schemas changed by step |
|---|---:|---:|---:|
| No compaction | 391,862 | - | - |
| Strip schema `description` metadata | 350,961 | 40,901 | 66 |
| Drop root `$defs` / `definitions` | 340,683 | 10,278 | 13 |
| Collapse deep complex schemas to `{}` | 335,875 | 4,808 | 6 |
2026-05-22 01:26:17 +00:00
2026-05-18 21:33:05 -07:00
2026-05-18 21:33:05 -07:00
2026-04-24 17:49:29 -07:00
2025-04-16 12:56:08 -04:00
2025-04-16 12:56:08 -04:00
2026-04-24 17:49:29 -07:00
2026-04-07 10:55:58 -07:00

npm i -g @openai/codex
or brew install --cask codex

Codex CLI is a coding agent from OpenAI that runs locally on your computer.

Codex CLI splash


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
  • Linux
    • x86_64: codex-x86_64-unknown-linux-musl.tar.gz
    • arm64: codex-aarch64-unknown-linux-musl.tar.gz

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.

Description
No description provided
Readme Apache-2.0 1.3 GiB
Languages
Rust 96%
Python 3%
TypeScript 0.3%
Starlark 0.2%
Shell 0.2%
Other 0.1%