Runs the real GEPA optimization loop (arXiv:2507.19457) — sample-efficient reflective Pareto search. Use when rollouts are expensive and the scorer gives informative per-task feedback, and you want the most quality per evaluation. Each iteration samples a parent from a per-instance Pareto frontier,
Runs the real GEPA optimization loop (arXiv:2507.19457) — sample-efficient reflective Pareto search. Use when rollouts are expensive and the scorer gives informative per-task feedback, and you want the most quality per evaluation. Each iteration samples a parent from a per-instance Pareto frontier, evaluates it on a cheap minibatch of train tasks with full traces, builds a reflective dataset over
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