/** * @license * Copyright 2025 Steven Roussey * 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 TextFillMaskInputSchema: { readonly type: "object"; readonly properties: { readonly text: { readonly type: "string"; readonly title: "Text"; readonly description: "The text with a mask token to fill"; }; readonly model: { readonly oneOf: readonly [{ readonly title: "Model"; readonly description: `The model ${string}`; } & Record & { 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 & { readonly format: import(".").TypeModelSemantic; }]; } & Record & { readonly format: import(".").TypeModelSemantic; }; }; readonly required: readonly ["text", "model"]; readonly additionalProperties: false; }; export declare const TextFillMaskOutputSchema: { readonly type: "object"; readonly properties: { readonly predictions: { readonly type: "array"; readonly items: { readonly type: "object"; readonly properties: { readonly entity: { readonly type: "string"; readonly title: "Entity"; readonly description: "The token that was predicted to fill the mask"; }; readonly score: { readonly type: "number"; readonly title: "Score"; readonly description: "The confidence score for this prediction"; }; readonly sequence: { readonly type: "string"; readonly title: "Sequence"; readonly description: "The complete text with the mask filled"; }; }; readonly required: readonly ["entity", "score", "sequence"]; readonly additionalProperties: false; }; readonly title: "Predictions"; readonly description: "The predicted tokens to fill the mask with their scores and complete sequences"; }; }; readonly required: readonly ["predictions"]; readonly additionalProperties: false; }; export type TextFillMaskTaskInput = { model: string | ModelConfig; text: string; }; export type TextFillMaskTaskOutput = { predictions: { score: number; entity: string; sequence: string; }[]; }; export type TextFillMaskTaskConfig = TaskConfig; export declare class TextFillMaskTask extends AiTask { static type: string; /** Capabilities required of the model; gated in {@link AiTask.execute}. */ static readonly requires: ["text.fill-mask"]; static category: string; static title: string; static description: string; static inputSchema(): DataPortSchema; static outputSchema(): DataPortSchema; } export declare const textFillMask: (input: TextFillMaskTaskInput, config?: TextFillMaskTaskConfig, runConfig?: Partial) => Promise; declare module "@workglow/task-graph" { interface Workflow { textFillMask: CreateWorkflow; } } //# sourceMappingURL=TextFillMaskTask.d.ts.map