ai-yardstick
A CLI tool for running and managing LLM evaluations
See my own evals
Installation
Install this tool using pip:
pip install ai-yardstick
Usage
Create a new eval with:
ai-yardstick create EVAL_NAME
Then edit prompts.csv, models.csv and tests.csv with your test cases.
Run an eval with:
ai-yardstick run path/to/config.yaml
For help, run:
ai-yardstick --help
You can also use:
python -m llm_evals_cli --help
Development
To contribute to this tool, first checkout the code. Then create a new virtual environment:
cd ai-yardstick
python -m venv venv
source venv/bin/activate
Now install the dependencies and test dependencies:
pip install -e '.[test]'
To run the tests:
python -m pytest
1 maintainer
Metadata
1 maintainer
Release files for ai-yardstick 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| ai_yardstick-0.0.1.tar.gz | 10.3 kB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ai_yardstick-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 20.4 kB
Release files / ai_yardstick-0.0.1.tar.gz
| Download URL | ai_yardstick-0.0.1.tar.gz |
|---|---|
| Size | 10.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
d71353767d3f698a466faeb3d14f74a2e311d884b5b5e59610926093809abd65
|
|
BLAKE2b-256 checksum How to use checksums |
86856f99fafec0be3a3a6f631cbd33aea539a36f769e7791b513a6c94d7c907c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
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 Apr 23, 2025.
Transparency logRelease files / ai_yardstick-0.0.1-py3-none-any.whl
| Download URL | ai_yardstick-0.0.1-py3-none-any.whl |
|---|---|
| Size | 10.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
0cdc9a3e9a0886e286a236fa742cb5312d1a0dbf5346b315f698da9200f07690
|
|
BLAKE2b-256 checksum How to use checksums |
b4f22910ee1f236e0af3222f28dbafe17fd3e1eb09272bb5fd3cae185e04e3cb
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
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 Apr 23, 2025.
Transparency logSecurity for ai-yardstick 0.0.1
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.
Full provenance
All 2 files in this release have been uploaded with provenance metadata.
Attestation for ai_yardstick-0.0.1.tar.gz
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 Apr 23, 2025.
Transparency logA note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
