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 0.3.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| verifiers-0.3.1.tar.gz | 836.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| verifiers-0.3.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.7 MB
Release files / verifiers-0.3.1.tar.gz
| Download URL | verifiers-0.3.1.tar.gz |
|---|---|
| Size | 836.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / verifiers-0.3.1-py3-none-any.whl
| Download URL | verifiers-0.3.1-py3-none-any.whl |
|---|---|
| Size | 880.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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