[R] LEVI: Beating GEPA/OpenEvolve/AlphaEvolve at a fraction of the cost

I've been working on making LLM-guided evolutionary optimization (the AlphaEvolve/FunSearch paradigm) cheaper and accessible. The result is LEVI. The core thesis is simple: most frameworks in this space assume frontier model access and build their search architecture around that. I think this is backwards. If you invest in the harness (better diversity maintenance, smarter model allocation) you can get the same or better results with a 30B model doing 90%+ of the work. Two ideas make this work: Stratified model allocation. Cheap models (Qwen 30B) handle most mutations.