Skip to main content

Common Unified Benchmark Environments

Project description

CUBE Standard banner

CUBE Standard

[!NOTE] CUBE is in active development (alpha). Interfaces may change. We welcome early adopters and contributors who want to shape the standard, not just use it. See our Roadmap and Contributing Guide. Serious contributors can apply here to become part of the team.

This repo contains the code and documentation for the AI Alliance: CUBE Standard project, which standardizes benchmark wrapping so the community can wrap otherwise-incompatible benchmarks uniformly and use them everywhere.

CUBE Standard defines the protocol — the Tool, Task, Benchmark, Observation, and Action interfaces that any benchmark must implement. cube-harness is the evaluation runtime that runs agents against CUBE-compatible benchmarks.

Paper: arXiv:2603.15798

Principal developer: ServiceNow AI Research.

Installation

Requires Python 3.12+. Install with uv:

uv add cube-standard

Or with pip:

pip install cube-standard

To include optional container backends:

# Docker support
uv add "cube-standard[docker]"

# Modal support
uv add "cube-standard[modal]"

# Daytona support
uv add "cube-standard[daytona]"

For development (includes test and lint tools):

git clone https://github.com/The-AI-Alliance/cube-standard
cd cube-standard
uv sync --extra dev

CLI commands

Command What it does
cube init [NAME] Scaffolds a new benchmark package from the built-in template
cube list Lists all installed benchmarks registered under cube.benchmarks entry points
cube test NAME Runs the debug suite and asserts reward == 1.0 on every debug task

For benchmark contributors

Fast path — copy the reference implementation, rename, and iterate:

cp -r examples/counter-cube my-bench
cd my-bench && uv sync
# Edit @tool_action decorated methods in src/*/tool.py
# Edit reset() and evaluate() in src/*/task.py
# Edit benchmark_metadata, task_metadata, task_config_class, _setup() and close() in src/*/benchmark.py
# expose get_debug_benchmark and get_debug_agent in src/*/debug.py
cube test my-bench

Or scaffold from the template:

cube init my-bench    # scaffold a new benchmark package from the template
cd my-bench
uv sync
cube test my-bench    # run the debug compliance suite

See CONTRIBUTING.md for the five-layer architecture and implementation order.

Getting Involved

All contributions are welcome — open an issue, submit a PR, or wrap a new benchmark. See CONTRIBUTING.md for the development guide and RFC process.

Want to contribute a benchmark? Whether you're an original author or just a frequent user, fill out this short form to let us know. No commitment required — we'll follow up based on your interest and the benchmark's fit.

Want deeper involvement? Join the core team, shape the roadmap, and get credit for what you build. Apply here.

For general AI Alliance contribution guidelines, see the community repo and Code of Conduct.

All code contributions are licensed under the Apache 2.0 LICENSE (which is also in this repo, LICENSE.Apache-2.0).

All documentation contributions are licensed under the Creative Commons Attribution 4.0 International (which is also in this repo, LICENSE.CC-BY-4.0).

All data contributions are licensed under the Community Data License Agreement - Permissive - Version 2.0 (which is also in this repo, LICENSE.CDLA-2.0).

We use the "Developer Certificate of Origin" (DCO).

[!WARNING] Before you make any git commits with changes, understand what's required for DCO.

See the Alliance contributing guide section on DCO for details. In practical terms, supporting this requirement means you must use the -s flag with your git commit commands.

Pre-commit hooks (recommended)

This repo uses the pre-commit framework to run fast checks locally before you commit, including enforcing the DCO Signed-off-by line.

Install the hooks (you only need to do this once per clone):

pre-commit install --hook-type pre-commit --hook-type commit-msg

Run the checks on all files (optional, useful the first time):

pre-commit run --all-files

When committing, include your sign-off:

git commit -s -m "your message"

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cube_standard-0.1.0rc4.tar.gz (56.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

cube_standard-0.1.0rc4-py3-none-any.whl (73.0 kB view details)

Uploaded Python 3

File details

Details for the file cube_standard-0.1.0rc4.tar.gz.

File metadata

  • Download URL: cube_standard-0.1.0rc4.tar.gz
  • Upload date:
  • Size: 56.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for cube_standard-0.1.0rc4.tar.gz
Algorithm Hash digest
SHA256 ab38a1d881b545b645b92503b947f945bcff4930e522934411fd87b10d08bd03
MD5 2a8ddc557e1a3e70bc8e54b7d53306fc
BLAKE2b-256 c6455ba997b63cddba438ec92aaa6f585eb51521871dc3147ed19a695b24ce69

See more details on using hashes here.

Provenance

The following attestation bundles were made for cube_standard-0.1.0rc4.tar.gz:

Publisher: release.yml on The-AI-Alliance/cube-standard

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file cube_standard-0.1.0rc4-py3-none-any.whl.

File metadata

File hashes

Hashes for cube_standard-0.1.0rc4-py3-none-any.whl
Algorithm Hash digest
SHA256 9c198b6bade21842b2da281af077202974b2cb809e30e35adfc5bca98a45661c
MD5 535119904fb4ed9a1f3d6a213d886036
BLAKE2b-256 66c21f5385ae569088d8ce596e418a9b2ee1a254d427a53887d2a12e02f61f07

See more details on using hashes here.

Provenance

The following attestation bundles were made for cube_standard-0.1.0rc4-py3-none-any.whl:

Publisher: release.yml on The-AI-Alliance/cube-standard

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page