donobu/dist/esm/tools/InputTextTool.d.ts

Create browser automations with an LLM agent and replay them as Playwright scripts.

import type { ElementHandle } from 'playwright';
import { z } from 'zod/v4';
import type { ToolCallContext } from '../models/ToolCallContext';
import { ReplayableInteraction } from './ReplayableInteraction';
export declare const InputTextCoreSchema: z.ZodObject<{
    text: z.ZodString;
    append: z.ZodOptional<z.ZodBoolean>;
    finalizeWithSubmit: z.ZodOptional<z.ZodBoolean>;
}, z.core.$strip>;
export declare const InputTextNonGptSchema: z.ZodObject<{
    text: z.ZodString;
    append: z.ZodOptional<z.ZodBoolean>;
    finalizeWithSubmit: z.ZodOptional<z.ZodBoolean>;
    selector: z.ZodObject<{
        element: z.ZodArray<z.ZodString>;
        frame: z.ZodOptional<z.ZodNullable<z.ZodString>>;
    }, z.core.$strip>;
}, z.core.$strip>;
export declare const InputTextGptSchema: z.ZodObject<{
    text: z.ZodString;
    append: z.ZodOptional<z.ZodBoolean>;
    finalizeWithSubmit: z.ZodOptional<z.ZodBoolean>;
    whyThisAnnotation: z.ZodString;
    annotation: z.ZodString;
    rationale: z.ZodString;
}, z.core.$strip>;
export declare class InputTextTool extends ReplayableInteraction<typeof InputTextCoreSchema, typeof InputTextNonGptSchema, typeof InputTextGptSchema> {
    static readonly NAME = "inputText";
    constructor();
    invoke(context: ToolCallContext, parameters: z.infer<typeof InputTextCoreSchema>, handles: {
        target: ElementHandle<HTMLElement | SVGElement>;
        label?: ElementHandle<HTMLElement | SVGElement>;
    }): Promise<string>;
    /**
     * Returns true when the segment is a single character that Playwright's
     * keyboard.press() can handle: printable ASCII (space through tilde).
     */
    private static isKeyboardPressable;
    private clearField;
}
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