This release is a pre-release and may not be stable for production use.
Overview
verifiers is our library for creating environments to train and evaluate LLMs.
verifiers is tightly integrated with the Environments Hub, as well as our training framework prime-rl and our Hosted Training platform.
Installation
We recommend installing the Prime CLI to interact with the environments.
# install uv
curl -LsSf https://astral.sh/uv/install.sh | sh
# install the prime CLI
uv tool install prime
Further reading
- The docs contain short, human-written guides and overviews about the architecture.
- The AGENTS.md and skills are for coding agents and go into more details.
Citation
Originally created by Will Brown (@willccbb).
@misc{brown_verifiers_2025,
author = {William Brown},
title = {{Verifiers}: Environments for LLM Reinforcement Learning},
howpublished = {\url{https://github.com/PrimeIntellect-ai/verifiers}},
year = {2025}
}
1 maintainer
Metadata
1 maintainer
Release files for verifiers 0.3.2.dev152
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| verifiers-0.3.2.dev152-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 869.2 kB
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