* Multi-Provider Support: Seamlessly switch between OpenAI, Groq, and Together.ai as LLM providers. * Chain of Thought (CoT) Reasoning: Break down complex problems into step-by-step solutions. * Reinforcement Learning: Continuously improve problem-solving strategies through a novel approach combining CoT and RL. * Adaptive Learning: Utilize a SQLite-based scoring system to remember and refine successful strategies. * Easy Integration: RESTful API with OpenAI-compatible endpoints for drop-in replacement in existing projects.

What makes Fragaria unique:

* More than just another LLM wrapper. Fragaria implements a sophisticated reasoning process that grows more efficient with each solved problem. * The combination of CoT and RL allows Fragaria to develop novel problem-solving approaches that weren't explicitly programmed. * It's designed for researchers to easily experiment with different CoT strategies and RL algorithms. The project includes a sleek Svelte-based demo interface for easy visualization of the reasoning process.

I built Fragaria to explore the intersection of language models, reasoning, and reinforcement learning.