gepa-spo/dist/seeding.d.ts

Genetic-Pareto prompt optimizer to evolve system prompts from a few rollouts with modular support and intelligent crossover

import type { Candidate, LLM, SystemExecute, FeedbackMuF, TaskItem } from './types.js';
export interface StrategyDef {
    id: string;
    hint: string;
}
export interface SeedArgs {
    seed: Candidate;
    screen: TaskItem[];
    strategies: StrategyDef[];
    K: number;
    execute: SystemExecute;
    muf: FeedbackMuF;
    llm: LLM;
    /** Optional budget guard: max total LLM calls allowed during seeding (mutations + evals) */
    budgetLeft?: number;
    /** Whether judge (muf) calls should count towards usedCalls (default true) */
    mufCosts?: boolean;
}
/** Generate seeded candidates with top-K strategies and keep the top few by average judge score */
export declare function seedPopulation({ seed, screen, strategies, K, execute, muf, llm, budgetLeft, mufCosts }: SeedArgs): Promise<{
    candidates: Array<Candidate & {
        _via: string;
        _uplift: number;
    }>;
    usedCalls: number;
}>;