Eval Protocol (EP) is an open solution for doing reinforcement learning fine-tuning on existing agents — across any language, container, or framework.
| Repository | Description |
|---|---|
| eval-protocol | Main specification, documentation, and examples |
| python-sdk | Python implementation |
This project is licensed under the MIT License - see the LICENSE file for details.
Eval Protocol (EP) is an open solution for doing reinforcement learning fine-tuning on existing agents — across any language, container, or framework.
Quickstart for Eval Protocol walking through an end to end example on how to fine-tune an SVG image generating agent.
Text to SQL Quickstart with GEPA and RFT
Mock digitial store app based on chinooks database
Python 1
Quickstart for eval-protocol and Langfuse
Eval Protocol (EP) is an open solution for doing reinforcement learning fine-tuning on existing agents — across any language, container, or framework.
The eval-protocol integration with lilac for dataset subset selection. Example usage repository.
Quickstart for Eval Protocol walking through an end to end example on how to fine-tune an SVG image generating agent.
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