import { PromptTemplate } from '@langchain/core/prompts';
import { LangGraphRunnableConfig } from '@langchain/langgraph';
import { IGraphNode } from '../../../graphs';
import { LLMProvider } from '../../../types';
import { DbSchemaHelperService } from '../services';
import { DbQueryState } from '../state';
import { DbQueryConfig } from '../types';
export declare class GenerateDescriptionNode implements IGraphNode<DbQueryState> {
    private readonly llm;
    private readonly config;
    private readonly schemaHelper;
    private readonly checks?;
    constructor(llm: LLMProvider, config: DbQueryConfig, schemaHelper: DbSchemaHelperService, checks?: string[] | undefined);
    prompt: PromptTemplate<import("@langchain/core/prompts").ParamsFromFString<"\n<instructions>\nYou are an AI assistant that describes what a SQL query does in plain english.\nAnalyze the actual query below and write a concise, bulleted summary of the data it retrieves and any filters/conditions it applies.\nWrite in plain english. No SQL, no technical jargon, no table/column names.\n</instructions>\n\n<user-question>\n{prompt}\n</user-question>\n\n<sql-query>\n{sql}\n</sql-query>\n\n<database-schema>\n{schema}\n</database-schema>\n\n{checks}\n\n<output-instructions>\nReturn a short bulleted list where each bullet is one condition, filter, or piece of data the query retrieves.\n- Use plain, non-technical language a business user would understand.\n- Do NOT mention tables, columns, joins, CTEs, enums, or any DB concepts.\n- Keep each bullet to one line.\n- Do not add any preamble, heading, or closing text — just the bullets.\n</output-instructions>">, any>;
    execute(state: DbQueryState, config: LangGraphRunnableConfig): Promise<DbQueryState>;
}