@langgraph-js/pro/dist/createModelHelper.d.ts

The Pro SDK for LangGraph - seamlessly integrate your AI agents with frontend interfaces and build complex AI workflows

import { BinaryOperatorAggregate } from "@langchain/langgraph/web";
import { BaseChatModel } from "@langchain/core/language_models/chat_models";
/**
 * 创建模型状态和模型工具
 * @param ModelAllow 模型允许值的定义，可以传入，第一个为默认值
 * @returns 模型状态和模型工具
 * @example
 * const { ModelState, createLLM } = createModelHelper({
 *     main_model: ["gemini-2.5-flash"],
 * });
 * const GraphState = createState(ModelState).build({});
 * const llm = await createLLM(state, "main_model");
 */
export declare const createModelHelper: <const T extends Record<string, string[]>>(ModelAllow: T) => {
    ModelState: import("@langchain/langgraph/web").AnnotationRoot<Record<keyof T, BinaryOperatorAggregate<string, string>>>;
    createLLM: (state: import("@langchain/langgraph/web").StateType<Record<keyof T, BinaryOperatorAggregate<string, string>>>, model_type: keyof typeof ModelAllow, params?: {
        temperature?: number;
        maxTokens?: number;
        topP?: number;
        frequencyPenalty?: number;
        presencePenalty?: number;
        stop?: string[];
        timeout?: number;
        streaming?: boolean;
    }) => Promise<BaseChatModel>;
};