/**
 * @license
 * Copyright 2025 Steven Roussey <sroussey@gmail.com>
 * SPDX-License-Identifier: Apache-2.0
 */
import type { IRunConfig, TaskConfig } from "@workglow/task-graph";
import { CreateWorkflow } from "@workglow/task-graph";
import { DataPortSchema } from "@workglow/util/schema";
import type { ModelConfig } from "../model/ModelSchema";
import { AiTask } from "./base/AiTask";
export declare const TextClassificationInputSchema: {
    readonly type: "object";
    readonly properties: {
        readonly text: {
            readonly type: "string";
            readonly title: "Text";
            readonly description: "The text to classify";
        };
        readonly candidateLabels: {
            readonly type: "array";
            readonly items: {
                readonly type: "string";
            };
            readonly title: "Candidate Labels";
            readonly description: "List of candidate labels (optional, if provided uses zero-shot classification)";
            readonly "x-ui-group": "Configuration";
        };
        readonly maxCategories: {
            readonly type: "number";
            readonly minimum: 1;
            readonly maximum: 1000;
            readonly default: 5;
            readonly title: "Max Categories";
            readonly description: "The maximum number of categories to return";
            readonly "x-ui-group": "Configuration";
        };
        readonly model: {
            readonly oneOf: readonly [{
                readonly title: "Model";
                readonly description: `The model ${string}`;
            } & Record<string, never> & {
                readonly format: import(".").TypeModelSemantic;
                readonly type: "string";
            }, {
                readonly type: "object";
                readonly properties: {
                    readonly model_id: {
                        readonly type: "string";
                    };
                    readonly capabilities: {
                        readonly type: "array";
                        readonly items: {
                            readonly type: "string";
                        };
                        readonly "x-ui-editor": "multiselect";
                    };
                    readonly title: {
                        readonly type: "string";
                    };
                    readonly description: {
                        readonly type: "string";
                        readonly "x-ui-editor": "textarea";
                    };
                    readonly provider: {
                        readonly type: "string";
                    };
                    readonly provider_config: {
                        readonly type: "object";
                        readonly properties: {
                            readonly credential_key: {
                                readonly type: "string";
                                readonly format: "credential";
                                readonly "x-ui-hidden": true;
                            };
                            readonly native_dimensions: {
                                readonly type: "integer";
                                readonly description: "Native output vector dimensions for embedding models";
                            };
                            readonly mrl: {
                                readonly type: "boolean";
                                readonly description: "Whether the model supports Matryoshka Representation Learning";
                            };
                        };
                        readonly additionalProperties: true;
                        readonly default: {};
                    };
                    readonly metadata: {
                        readonly type: "object";
                        readonly default: {};
                        readonly "x-ui-hidden": true;
                    };
                };
                readonly required: readonly ["provider", "provider_config"];
                readonly format: "model";
                readonly additionalProperties: true;
            } & Record<string, never> & {
                readonly format: import(".").TypeModelSemantic;
            }];
        } & Record<string, never> & {
            readonly format: import(".").TypeModelSemantic;
        };
    };
    readonly required: readonly ["text", "model"];
    readonly additionalProperties: false;
};
export declare const TextClassificationOutputSchema: {
    readonly type: "object";
    readonly properties: {
        readonly categories: {
            readonly type: "array";
            readonly items: {
                readonly type: "object";
                readonly properties: {
                    readonly label: {
                        readonly type: "string";
                        readonly title: "Label";
                        readonly description: "The name of the category";
                    };
                    readonly score: {
                        readonly type: "number";
                        readonly title: "Score";
                        readonly description: "The confidence score for this category";
                    };
                };
                readonly required: readonly ["label", "score"];
                readonly additionalProperties: false;
            };
            readonly title: "Categories";
            readonly description: "The classification categories with their scores";
        };
    };
    readonly required: readonly ["categories"];
    readonly additionalProperties: false;
};
export type TextClassificationTaskInput = {
    maxCategories?: number | undefined;
    candidateLabels?: string[] | undefined;
    model: string | ModelConfig;
    text: string;
};
export type TextClassificationTaskOutput = {
    categories: {
        score: number;
        label: string;
    }[];
};
export type TextClassificationTaskConfig = TaskConfig<TextClassificationTaskInput>;
/**
 * Classifies text into categories using language models.
 * Automatically selects between regular and zero-shot classification based on whether candidate labels are provided.
 */
export declare class TextClassificationTask extends AiTask<TextClassificationTaskInput, TextClassificationTaskOutput, TextClassificationTaskConfig> {
    static type: string;
    /** Capabilities required of the model; gated in {@link AiTask.execute}. */
    static readonly requires: ["text.classification"];
    static category: string;
    static title: string;
    static description: string;
    static inputSchema(): DataPortSchema;
    static outputSchema(): DataPortSchema;
}
export declare const textClassification: (input: TextClassificationTaskInput, config?: TextClassificationTaskConfig, runConfig?: Partial<IRunConfig>) => Promise<TextClassificationTaskOutput>;
declare module "@workglow/task-graph" {
    interface Workflow {
        textClassification: CreateWorkflow<TextClassificationTaskInput, TextClassificationTaskOutput, TextClassificationTaskConfig>;
    }
}
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