/**
 * @license
 * Copyright 2025 Steven Roussey <sroussey@gmail.com>
 * SPDX-License-Identifier: Apache-2.0
 */
import type { IRunConfig, TaskConfig } from "@workglow/task-graph";
import { CreateWorkflow, Task } from "@workglow/task-graph";
import { DataPortSchema, TypedArray } from "@workglow/util/schema";
import type { Capability } from "../capability/Capabilities";
export type VectorQuantizeTaskInput = {
    normalize?: boolean | undefined;
    vector: TypedArray | TypedArray[];
    targetType: "float16" | "float32" | "float64" | "int8" | "uint8" | "int16" | "uint16";
};
export type VectorQuantizeTaskOutput = {
    vector: TypedArray | TypedArray[];
    targetType: "float16" | "float32" | "float64" | "int8" | "uint8" | "int16" | "uint16";
    originalType: "float16" | "float32" | "float64" | "int8" | "uint8" | "int16" | "uint16";
};
export type VectorQuantizeTaskConfig = TaskConfig<VectorQuantizeTaskInput>;
/**
 * Task for quantizing vectors to reduce storage and improve performance.
 * Supports various quantization types including binary, int8, uint8, int16, uint16.
 */
export declare class VectorQuantizeTask extends Task<VectorQuantizeTaskInput, VectorQuantizeTaskOutput, VectorQuantizeTaskConfig> {
    static type: string;
    /** Pure-compute vector quantization — no provider capability required. */
    static readonly requires: readonly Capability[];
    static category: string;
    static title: string;
    static description: string;
    static cacheable: boolean;
    static inputSchema(): DataPortSchema;
    static outputSchema(): DataPortSchema;
    execute(input: VectorQuantizeTaskInput): Promise<VectorQuantizeTaskOutput>;
    executePreview(input: VectorQuantizeTaskInput): Promise<VectorQuantizeTaskOutput>;
    private getVectorType;
    private vectorQuantize;
    /**
     * Find min and max values in a single pass for better performance
     */
    private findMinMax;
    private quantizeToInt8;
    private quantizeToUint8;
    private quantizeToInt16;
    private quantizeToUint16;
}
export declare const vectorQuantize: (input: VectorQuantizeTaskInput, config?: VectorQuantizeTaskConfig, runConfig?: Partial<IRunConfig>) => Promise<VectorQuantizeTaskOutput>;
declare module "@workglow/task-graph" {
    interface Workflow {
        vectorQuantize: CreateWorkflow<VectorQuantizeTaskInput, VectorQuantizeTaskOutput, VectorQuantizeTaskConfig>;
    }
}
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