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4 changes: 4 additions & 0 deletions README.md
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[![PyPI version](https://img.shields.io/pypi/v/agentproof.svg)](https://pypi.org/project/agentproof/)
[![Python versions](https://img.shields.io/pypi/pyversions/agentproof.svg)](https://pypi.org/project/agentproof/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![FOSSA Status](https://app.fossa.com/api/projects/git%2Bgithub.com%2Fsust4in%2Fagentproof.svg?type=shield)](https://app.fossa.com/projects/git%2Bgithub.com%2Fsust4in%2Fagentproof?ref=badge_shield)

Composable reward signals from agent trajectories using programmatic verification. agentproof runs real tools against agent outputs and produces deterministic scores for RL training (GRPO, DPO, SFT filtering) or agent quality analysis.

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## License

MIT


[![FOSSA Status](https://app.fossa.com/api/projects/git%2Bgithub.com%2Fsust4in%2Fagentproof.svg?type=large)](https://app.fossa.com/projects/git%2Bgithub.com%2Fsust4in%2Fagentproof?ref=badge_large)