TIGER-AI-Lab / verl-tool

What it does

• Complete decoupling of actor rollout and environment interaction - We use verl as a submodule to benefit from ongoing verl repository updates. All tool calling is integrated via a unified API, allowing you to easily add new tools by simply
• Tool-as-environment paradigm. Each tool interaction can modify the environment state. We store and reload environment states for each trajectory.
• Native RL framework for tool-calling agents. verl-tool natively supports multi-turn interactive loops between agents and their tool environments.
• User-friendly evaluation suite. Launch your trained model with OpenAI API alongside the tool server. Simply send questions and get final outputs with all interactions handled internally. See benchmarks.