import { PromptTemplate } from '@langchain/core/prompts';
import { LangGraphRunnableConfig } from '@langchain/langgraph';
import { IAuthUserWithPermissions } from '@sourceloop/core';
import { IGraphNode } from '../../../graphs';
import { LLMProvider } from '../../../types';
import { DbQueryState } from '../state';
import { DbQueryConfig, IDataSetStore } from '../types';
import { DbSchemaHelperService } from '../services';
export declare class SaveDataSetNode implements IGraphNode<DbQueryState> {
    private readonly llm;
    private readonly store;
    private readonly config;
    private readonly user;
    private readonly dbSchemaHelper;
    private readonly checks?;
    constructor(llm: LLMProvider, store: IDataSetStore, config: DbQueryConfig, user: IAuthUserWithPermissions, dbSchemaHelper: DbSchemaHelperService, checks?: string[] | undefined);
    prompt: PromptTemplate<import("@langchain/core/prompts").ParamsFromFString<"You are an AI assitant that generates a short description of a query based on a given schema, providing a summary of the query's intent and user's demand in a way that is short but does not miss any importance detail.\n\n  Here is the query that you need to describe - {query}\n\n  And here is the schema that was used to generate the query -\n  {schema}\n\n\n  {checks}\n  The output should be a valid description of the query that is easy to understand by the user in plain text, without any formatting">, any>;
    execute(state: DbQueryState, config: LangGraphRunnableConfig): Promise<DbQueryState>;
    private _hashSchema;
    private _getTableList;
}