/**
 * profile-generate-fm — PROF-P (FM authors) + PROF-G (group) profiles (#1502).
 *
 * Port of profiles/build_fm_profiles.py. The hardcoded FM_PAPERS + group_specs
 * dicts are NOT ported — they are corpus-specific data and live in a
 * corpus-local `documentation/profiles/fm-config.yaml` (absent → no-op). Reuses
 * the shared generation context + PROF-P body builder from profile-generate.
 *
 * @source historical: profiles/build_fm_profiles.py
 */
import { type ProfileGenResult } from './profile-generate.js';
interface FmPaper {
    model: string;
    topAuthors: number;
    group?: string;
}
interface GroupSpec {
    slug: string;
    name: string;
    parentOrg: string;
    parentSlug?: string;
    refs: string[];
}
export interface FmConfig {
    fmPapers: Map<string, FmPaper>;
    groups: GroupSpec[];
}
/**
 * Load `documentation/profiles/fm-config.yaml` (absent → empty). Shape:
 *   fm-papers:
 *     REF-052: { model: "GPT-3", top-authors: 5 }
 *     REF-835: { model: "Llama 3", group: PROF-G-llama-team }
 *   groups:
 *     PROF-G-llama-team:
 *       name: "Llama Team — AI @ Meta"
 *       parent-org: "Meta AI Research"
 *       parent-slug: PROF-O-meta-fair
 *       refs: [REF-835]
 */
export declare function loadFmConfig(corpusRoot: string): FmConfig;
export interface FmGenOptions {
    today?: string;
    write?: boolean;
}
/** Generate FM-author PROF-P + group PROF-G profiles from fm-config.yaml. */
export declare function generateFmProfiles(corpusRoot: string, opts?: FmGenOptions): ProfileGenResult[];
export {};
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