import { SimpleChatModel, type BaseChatModelParams } from "@langchain/core/language_models/chat_models";
import type { BaseLanguageModelCallOptions } from "@langchain/core/language_models/base";
import { CallbackManagerForLLMRun } from "@langchain/core/callbacks/manager";
import { BaseMessage } from "@langchain/core/messages";
import { ChatGenerationChunk } from "@langchain/core/outputs";
import * as webllm from "@mlc-ai/web-llm";
export interface WebLLMInputs extends BaseChatModelParams {
    appConfig?: webllm.AppConfig;
    chatOptions?: webllm.ChatOptions;
    temperature?: number;
    model: string;
}
export interface WebLLMCallOptions extends BaseLanguageModelCallOptions {
}
/**
 * To use this model you need to have the `@mlc-ai/web-llm` module installed.
 * This can be installed using `npm install -S @mlc-ai/web-llm`.
 *
 * You can see a list of available model records here:
 * https://github.com/mlc-ai/web-llm/blob/main/src/config.ts
 * @example
 * ```typescript
 * // Initialize the ChatWebLLM model with the model record.
 * const model = new ChatWebLLM({
 *   model: "Phi-3-mini-4k-instruct-q4f16_1-MLC",
 *   chatOptions: {
 *     temperature: 0.5,
 *   },
 * });
 *
 * // Call the model with a message and await the response.
 * const response = await model.invoke([
 *   new HumanMessage({ content: "My name is John." }),
 * ]);
 * ```
 */
export declare class ChatWebLLM extends SimpleChatModel<WebLLMCallOptions> {
    static inputs: WebLLMInputs;
    protected engine: webllm.MLCEngine;
    appConfig?: webllm.AppConfig;
    chatOptions?: webllm.ChatOptions;
    temperature?: number;
    model: string;
    static lc_name(): string;
    constructor(inputs: WebLLMInputs);
    _llmType(): string;
    initialize(progressCallback?: webllm.InitProgressCallback): Promise<void>;
    reload(modelId: string, newChatOpts?: webllm.ChatOptions): Promise<void>;
    _streamResponseChunks(messages: BaseMessage[], options: this["ParsedCallOptions"], runManager?: CallbackManagerForLLMRun): AsyncGenerator<ChatGenerationChunk>;
    _call(messages: BaseMessage[], options: this["ParsedCallOptions"], runManager?: CallbackManagerForLLMRun): Promise<string>;
}