/**
 * Dataset cleaner (Dataset-uploader.md §2.3 — the `dataset_clean` tool's core).
 *
 * Loads a sharegpt dataset JSONL, scrubs EVERY string field of every sample
 * (the JSON tree is walked; structure is never changed), applies optional
 * quality filters, and writes `<name>.clean.jsonl` next to the input.
 *
 *   - minTurns          — drop samples with fewer assistant ("gpt") turns
 *   - maxSampleChars    — drop samples longer than this many chars
 *   - keepOnlyToolCalls — drop samples without any function_call entry
 *
 * The scrubber receives `extraValues` collected by the caller (secret-store
 * values, backend/.env.local values). This module never reads any store and
 * never prints values — only per-kind redaction counts.
 */
export interface CleanDatasetOptions {
    /** Output path. Default: `<input-without>.clean.jsonl` next to the input. */
    outputPath?: string;
    /** Minimum number of assistant ("gpt") turns per sample. */
    minTurns?: number;
    /** Maximum total characters per sample (conversation values + system). */
    maxSampleChars?: number;
    /** When true, drop samples that contain no function_call entries. */
    keepOnlyToolCalls?: boolean;
    /**
     * Opaque secret values to redact literally (secret-store values, .env
     * values). The cleaner never reads any store itself.
     */
    extraValues?: string[];
}
export interface CleanDatasetResult {
    inputPath: string;
    outputPath: string;
    total: number;
    kept: number;
    removed: number;
    malformedLines: number;
    removedByFilter: {
        minTurns: number;
        maxSampleChars: number;
        keepOnlyToolCalls: number;
    };
    /** Per-kind redaction counts (only kinds with count > 0, stable order). */
    redactions: {
        kind: string;
        count: number;
    }[];
}
/** Derive the default clean output path: `export-x.jsonl` → `export-x.clean.jsonl`. */
export declare function defaultCleanPath(inputPath: string): string;
/**
 * Clean a dataset JSONL file: scrub all string fields, apply optional
 * filters, write `<name>.clean.jsonl` next to the input.
 *
 * Throws when the input file cannot be read. Malformed lines are counted,
 * not fatal.
 */
export declare function cleanDataset(inputPath: string, options?: CleanDatasetOptions): CleanDatasetResult;
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