donobu/dist/lib/page/tbd/actionRecorder.d.ts

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

import type { Page } from 'playwright-core';
import type { FlowMetadata } from '../../../models/FlowMetadata';
import type { ProposedToolCall } from '../../../models/ProposedToolCall';
import type { FlowsPersistence } from '../../../persistence/flows/FlowsPersistence';
/**
 * Handle returned by {@link installRecorder} that allows draining
 * recorded actions incrementally during a tbd session.
 */
export interface TbdRecorderHandle {
    /**
     * Returns all newly recorded manual interactions since the last drain,
     * converted to ProposedToolCall objects. Call this before each AI
     * instruction to preserve chronological ordering.
     */
    drainRecordedActions(): ProposedToolCall[];
}
/**
 * Installs Donobu's standard interaction tracking infrastructure on the
 * page, using the same browser-side scripts (smart selectors, event
 * listeners) and server-side handling ({@link PageInteractionTracker})
 * that the normal Donobu flow engine uses.
 *
 * This ensures:
 * - High-quality selectors (data-testid, aria-label, text, CSS, XPath)
 * - Proper keystroke merging (consecutive keys → inputText tool calls)
 * - No redundant navigation recording (only clicks/keydowns are tracked)
 * - Actions persist through the normal persistence layer (visible in UI)
 * - Post-action screenshots are captured automatically
 */
export declare function installRecorder(page: Page, persistence: FlowsPersistence, flowMetadata: FlowMetadata): Promise<TbdRecorderHandle>;
//# sourceMappingURL=actionRecorder.d.ts.map