import { PromptTemplate } from '@langchain/core/prompts';
import { LangGraphRunnableConfig } from '@langchain/langgraph';
import { IGraphNode } from '../../../graphs';
import { LLMProvider } from '../../../types';
import { DbQueryState } from '../state';
import { IDbConnector } from '../types';
export declare class SyntacticValidatorNode implements IGraphNode<DbQueryState> {
    private readonly llm;
    private readonly connector;
    constructor(llm: LLMProvider, connector: IDbConnector);
    prompt: PromptTemplate<import("@langchain/core/prompts").ParamsFromFString<"You are an AI assistant that categorizes the SQL query error and identifies related tables.\n\nHere is the SQL query error that you need to categorize -\n{error}\n\nHere is the query that resulted in the error -\n{query}\n\nHere are all the available tables in the database -\n{tableNames}\n\nCategorize the error into one of these two categories:\n- table_not_found: Any error that indicates a table or column is missing\n- query_error: All other errors\n\nAlso identify ALL tables that are related to the error. Be generous - include tables that are directly involved in the error, tables referenced in the failing part of the query, and tables that might need to be joined or referenced to fix the error. It is better to include extra tables than to miss any.\n\nReturn your response in exactly this format with no other text:\n<category>table_not_found or query_error</category>\n<tables>comma, separated, table, names</tables>\n">, any>;
    execute(state: DbQueryState, config: LangGraphRunnableConfig): Promise<DbQueryState>;
}