Human verification and reward functions for RL training loops — the thin OpenTrain verify client.
Project description
opentrain-verify
The thin OpenTrain verify client for the RL crowd: human verification
batches, the opentrain_human_reward() function for verifiers Rubrics,
Prime Intellect Hub rollout pushes, and offline Certificate v2 checks —
without installing the full SDK surface.
pip install opentrain-verify
from opentrain_verify import OpenTrain, opentrain_human_reward
client = OpenTrain() # OPENTRAIN_API_TOKEN
reward_fn = opentrain_human_reward(client, rubric=["The answer is correct."])
# rubric = vf.Rubric(funcs=[reward_fn, ...], weights=[1.0, ...])
Everything here re-exports from the opentrain-ai package (imports as opentrain) — see its README
for the full API.
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