Production implementation of OPRO (Wei et al., 2023) — gradient-free prompt optimization via LLM-as-optimizer. Implements p* = argmax f(p) over discrete natural language space. Built from the paper, no prompt libraries. arXiv:2309.03409

OPRO / Large Language Models as Optimizers — Complete Prompt, Meta-Prompt, Logic, Flow, and Mermaid Graph Extraction (arXiv:2309.03409 / google-deepmind/opro)

ARSENAL — Unified master LLM agent pipeline combining the best of AI Scientist v2, Self-Refine, Reflexion, Meta-Prompting, LATS, APE, and The Prompt Report