Questions on Multimodal and Agentic RL Support in Slime Roadmap

Hi Slime Team (cc @zhuzilin ),

I have recently studied the Slime framework's source code and was impressed by its elegant and lightweight design. I am from the Xiaohongshu team, and we focus more on large-scale multimodal model and Agentic RL scenarios. I have several questions regarding the future roadmap of Slime and would appreciate your insights:

1. Are there any plans to support RL scenarios with large-scale multimodal foundation models?
2. Has there been any internal validation or experience with Agentic RL training in Slime?
3. Is there a roadmap for scaling to massive-size multimodal models and Agentic RL? Specifically, have you considered design strategies for rollouts addressing long-tail issues in such scenarios?
   I
   f possible, could you share some information relevant to these points? From an RL framework technology perspective, we are very interested in collaborating and advancing together with the Slime community.

Looking forward to your sharing and suggestions.

No file, test, or entry point is named. Start by reviewing Slime's roadmap and existing RL framework materials to assess the questions about multimodal models, Agentic RL, scaling, and rollout long-tail issues. Done means providing concrete roadmap or validation answers, rather than making a localized code change.