import SistaAiEngine from '../../SistaAiEngine';
import { SistaAiRealTimeSession, WebRTCConnection } from '../../_types/sharedTypes';
/**
 * OpenAiEngine - Handles WebRTC connections and AI model interactions
 *
 * 4-TIER FALLBACK STRATEGY IMPLEMENTATION:
 *
 * This engine implements a sophisticated fallback system to ensure the AI model
 * always responds to user requests, even when the initial prompt is too complex.
 *
 * STRATEGY OVERVIEW:
 * 1. FIRST ATTEMPT: Full prompt + screen content + tools
 *    - Always starts here for best user experience
 *    - Provides complete context and functionality
 *    - Uses the full prompt template with all features enabled
 *
 * 2. SECOND ATTEMPT: Basic prompt without screen content + tools
 *    - Triggered if first attempt fails with "unable to assist"
 *    - Removes heavy screen content that might cause issues
 *    - Maintains tool functionality for user interactions
 *
 * 3. THIRD ATTEMPT: Basic prompt without screen content + tools (retry)
 *    - Triggered if second attempt also fails
 *    - Still trying with tools for functionality
 *    - Uses same basic prompt but gives tools another chance
 *
 * 4. FOURTH ATTEMPT: Minimal fallback template (no tools)
 *    - Triggered if third attempt also fails
 *    - Removes tools as final fallback
 *    - Ensures the model can always respond, even if limited
 *
 * WHY THIS WORKS:
 * - Progressive complexity reduction prevents model failures
 * - Maintains functionality as long as possible
 * - Gives tools multiple chances to work before removing them
 * - Provides graceful degradation for better user experience
 * - Handles edge cases where complex prompts overwhelm the model
 *
 * IMPLEMENTATION DETAILS:
 * - Screen content is always included on first attempt (no more gating)
 * - Fallback system tracks attempt count and progressively simplifies
 * - All prompts come from OpenAiPrompts.ts for maintainability
 * - Comprehensive logging tracks strategy execution and outcomes
 *
 * @author Sista AI Team
 * @version 3.7.12
 */
export declare class OpenAiEngine {
    private static instance;
    private readonly apiKey;
    private readonly apiUrl;
    private readonly audioElement;
    private readonly navigationObserver;
    private readonly scraper;
    private readonly toolsAutomatedDiscovery;
    private openAiConnection;
    private readonly engine;
    private _lastEventTraceLogAtMs;
    private _fallbackInjectionCount;
    private currentSession;
    private constructor();
    static getInstance(apiKey: string, apiUrl: string, audioElement: HTMLAudioElement, engine: SistaAiEngine): OpenAiEngine;
    initializeConnection(session: SistaAiRealTimeSession): Promise<WebRTCConnection>;
    private injectDataInSession;
    private fallbackDataInjectionInSession;
    private handleAllConnectionEvents;
    private handleToolCallingRequests;
    private sendTranscriptToBackendForLogging;
}