wev
Copyright 2026 the wev authors

This product includes software adapted from kev
(https://github.com/jaredpalmer/kev), licensed under the Apache License 2.0:
  - wev/model.py: sequence packing with reserved Qwen delimiter tokens,
    unforgeable option boundaries, block-causal branch mask with per-branch
    position restart, pointer readout head.
  - wev/api.py: System One request/response shapes and rendering.

wev/prompts.py contains instruction text copied from jev-ultrafast
(https://github.com/browser-use/jev-ultrafast), used under the MIT License:

  MIT License
  Copyright (c) 2026 Browser Use

  Permission is hereby granted, free of charge, to any person obtaining a copy
  of this software and associated documentation files (the "Software"), to deal
  in the Software without restriction, including without limitation the rights
  to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
  copies of the Software, and to permit persons to whom the Software is
  furnished to do so, subject to the following conditions:

  The above copyright notice and this permission notice shall be included in all
  copies or substantial portions of the Software.

  THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
  IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
  FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
  AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
  LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
  OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
  SOFTWARE.

Training data is derived from Mind2Web (https://huggingface.co/datasets/osunlp/Mind2Web),
licensed CC BY 4.0: Deng et al., "Mind2Web: Towards a Generalist Agent for the Web", NeurIPS 2023
(arXiv:2306.06070). Converted requests are a modified form of the original data.

Training data is also derived from NNetNav (https://huggingface.co/datasets/stanfordnlp/nnetnav-live),
licensed Apache-2.0: Murty et al., "NNetNav: Unsupervised Learning of Browser Agents Through Environment
Interaction in the Wild" (arXiv:2410.02907).

wev is not affiliated with or endorsed by TypeSafe AI. "Jev" and "System One" are referenced only to describe
API compatibility.
