Skip to main content

KUMA geometric wordmark banner

KUMA

KUMA Python SDK
Knowledge-grounded Universal Measurement for Agents

English  |  Simplified Chinese

KUMA is a framework-neutral Python SDK for evaluating AI Agents. It delivers a test Case as step-by-step Inputs, captures bounded Evidence, and produces a Judgment through official or custom Providers. KUMA does not run your Agent or expose private evaluation logic.

What you can do

  • Run repeatable Case-to-Judgment evaluations.
  • Use official services or custom Case and Judge Providers, including fully local workflows.
  • Capture structured Evidence from results, file changes, logs, and optional OpenTelemetry traces.
  • Select a versioned Strategy Group and describe the Agent with an Agent Profile.

Install

Requires Python 3.10 or newer:

python -m pip install --upgrade kuma-defuzex

The package is kuma-defuzex; Python imports and the CLI use kuma.

Quick start

Run a deterministic local check without an account, API key, Docker, or network:

kuma quickstart

Successful output starts with:

Local check: PASS
Score: 100/100
Reason: Output exactly matched the published rule.

This checks the bundled local example, not your Agent or the hosted Judge. To evaluate your Agent, follow the SDK guide.

For official Case generation, create_run(..., difficulty="D1") selects challenge count and intensity: D0 injects zero problems; D1 injects one obvious, low-intensity problem; D2 injects two subtler or composed problems requiring stronger recognition, recovery and verification. Necessary inputs and solvability must be preserved. max_steps remains the same upper bound; D2 does not add a step or change Judge severity. No measured failure rate is promised; the service builds the challenge.

Next steps

Documentation

SDK guide · Python API reference · Versions and releases · Detailed Judge assessment

Project

Security · Contributing · Apache License 2.0

Metadata

Release files for kuma-defuzex 0.3.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for kuma-defuzex 0.3.3
File Size Uploaded
kuma_defuzex-0.3.3.tar.gz 284.3 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for kuma-defuzex 0.3.3
File Interpreter ABI Platform
kuma_defuzex-0.3.3-py3-none-any.whl Python 3 none any Details

Total release size: 620.9 kB

Release files / kuma_defuzex-0.3.3.tar.gz

Download URL kuma_defuzex-0.3.3.tar.gz
Size 284.3 kB
Tags Source
SHA-256 checksum
How to use checksums
c9ccfe27313c8577e55d786fff229b3762b16f9ef31a9b38e9dc94373fd45c33
BLAKE2b-256 checksum
How to use checksums
c79db4d09bc82e44d50f10d887916a195be821af5f4553160bd8f6122027b332
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 1, 2026.

Transparency log

Release files / kuma_defuzex-0.3.3-py3-none-any.whl

Download URL kuma_defuzex-0.3.3-py3-none-any.whl
Size 336.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
893201a7339f74e8b06b5fb32102fe41bfc9df6e4de3d0cea2cb2a7c15fddbbd
BLAKE2b-256 checksum
How to use checksums
a6bf73c467a3fce7b171be406a6f5bc19cbe4e241dac6a6715ffec7046983188
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 1, 2026.

Transparency log

Release history Release notifications | RSS feed

This release

0.3.3 This release

2 release files

0.3.2

2 release files

0.3.1

2 release files

0.3.0

2 release files

0.2.8

2 release files

0.2.7

2 release files

0.2.6

2 release files

0.2.5

2 release files

0.2.4

2 release files

0.2.3

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page