/**
 * WebLLM adapter
 *
 * Uses @mlc-ai/web-llm for running LLMs in the browser with WebGPU.
 * Requires downloading model files (100MB - 4GB+ depending on model).
 */
import type { InitState, OnProgress } from '../../core/types.js';
import type { LLMAdapter, LLMCapabilities, LLMChatOptions, LLMMessage, LLMResponse, WebLLMOptions } from './types.js';
/**
 * WebLLM adapter for in-browser LLM inference
 */
export declare class WebLLMAdapter implements LLMAdapter {
    readonly type: "webllm";
    private _initState;
    private _currentModel;
    private options;
    private engine;
    constructor(options?: WebLLMOptions);
    get initState(): InitState;
    get currentModel(): string | null;
    ensureInitialized(modelId?: string, onProgress?: OnProgress): Promise<void>;
    private importWebLLM;
    getCapabilities(): Promise<LLMCapabilities>;
    chat(messages: LLMMessage[], options?: LLMChatOptions): Promise<LLMResponse>;
    stream(messages: LLMMessage[], options?: LLMChatOptions): AsyncIterable<string>;
    message(text: string, options?: LLMChatOptions & {
        systemPrompt?: string;
    }): Promise<string>;
    countTokens(text: string): Promise<number>;
    unloadModel(): Promise<void>;
    dispose(): Promise<void>;
}
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