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# Why
Some connector tool input schemas use local JSON Schema references and
definition tables to avoid duplicating large nested shapes. Codex
previously lowered these schemas into the supported subset in a way that
could discard `$ref`-only schema objects and lose the corresponding
definitions, which made non-strict tool registration less faithful than
the original connector schema.
This keeps the existing minimal-lowering policy: Codex still does not
raw-pass through arbitrary JSON Schema, but it now preserves local
reference structure that fits the Responses-compatible subset and prunes
definition entries that cannot be reached by following `$ref`s from the
root schema after sanitization, including refs found transitively inside
other reachable definitions. The pruning matters because Responses
parses definition tables even when entries are unused, so keeping dead
definitions wastes prompt tokens.
# What changed
- Added `$ref`, `$defs`, and legacy `definitions` fields to the tool
`JsonSchema` representation.
- Updated `parse_tool_input_schema` lowering so `$ref`-only schema
objects survive sanitization instead of becoming `{}`.
- Sanitized definition tables recursively and dropped malformed
definition tables so non-strict registration degrades gracefully.
- Added reachability pruning for root definition tables by starting from
refs outside definition tables, then following refs inside reachable
definitions.
- Added JSON Pointer decoding for local definition refs such as
`#/$defs/Foo~1Bar`.
# Verification
ran local golden-schema probes against representative connector schemas
to validate behavior on real generated schemas:
| Golden schema | Before bytes | After bytes | `$defs` before -> after |
`$ref` before -> after | Result |
|---|---:|---:|---:|---:|---|
| `google_calendar/create_space` | 7111 | 4526 | 7 -> 7 | 7 -> 7 | all
definitions preserved because all are reachable |
| `figma/apply_file_variable_changes` | 4609 | 999 | 8 -> 5 | 8 -> 5 |
unused defs pruned after unsupported `oneOf` shapes lower away |
| `snowflake/list_catalog_integrations` | 1380 | 404 | 3 -> 0 | 0 -> 0 |
all defs pruned because none are referenced |
| `dropbox/create_shared_link` | 8894 | 1836 | 14 -> 4 | 9 -> 4 | only
defs reachable from the root schema after sanitization are retained,
including transitively through other retained defs |
Token increase across golden schema due to this change:
<img width="817" height="366" alt="Screenshot 2026-05-19 at 1 47 04 PM"
src="https://github.com/user-attachments/assets/d5c80fe9-da85-41e6-8ac7-a01d1e0b0f71"
/>
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.