import type { PricingCatalogue } from './pricing.js';
import { join, segment } from './segment.js';
import type { AsyncTokenCounter } from './tokenizer.js';
import type { OptimizationResult, OptimizeOptions, Segment, TokenProvenance, UsageProfile } from './types.js';
export declare const DEFAULT_USAGE: UsageProfile;
interface Masked {
    text: string;
    /** Original text of each protected segment, indexed by its mask. */
    vault: string[];
}
/**
 * Replaces every protected segment with a 3-character marker from the Unicode
 * private use area. The rules work on the masked text, so none of them can
 * touch code, URLs or template placeholders.
 */
declare function mask(segments: Segment[]): Masked;
/** Puts the protected content back. */
declare function unmask(text: string, vault: string[]): string;
/**
 * Optimises a prompt by applying deterministic rules.
 *
 * The result is reproducible: the same input always yields the same output and
 * running it costs nothing. The optional LLM pass lives separately, in
 * `refineWithLlm`.
 */
export declare function optimize(prompt: string, options?: OptimizeOptions): OptimizationResult;
/**
 * Recomputes the report with an exact token counter (e.g. the official
 * token-counting endpoint).
 *
 * Only the headline numbers and the saving are recomputed. Per-rule token
 * attribution stays on the heuristic estimate: asking a remote counter once
 * per rule would multiply the calls without changing any decision.
 */
export declare function withExactTokenCounts(result: OptimizationResult, counter: AsyncTokenCounter, pricing?: PricingCatalogue, countedBy?: TokenProvenance | null): Promise<OptimizationResult>;
/** Re-exports of internals useful to anyone extending the library. */
export { join, mask as maskProtected, segment, unmask as unmaskProtected };
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