import { z } from 'zod';
import { JSONArray, DataSourceField } from '@sisense/sdk-data';
import { DataSourceFieldWithDescription } from '../../services/data-sources/data-sources-service';
import { getDataSourceFieldsSchema, GetDataSourceFieldsContext, DataSourceFieldsResult } from './types';
/**
 * Fetches fields for a data source (decoupled from UI/store).
 * @param params - The parameters containing the data source title
 * @param context - Context with tool call ID for tracking
 * @returns Raw result: dataSourceTitle and fields array for UI and for building the LLM summary.
 */
export declare function getDataSourceFieldsEngine(params: z.infer<typeof getDataSourceFieldsSchema>, context: GetDataSourceFieldsContext): Promise<DataSourceFieldsResult>;
/**
 * Builds the shared formulas block for the LLM summary from NLQ-shaped formula JSON.
 * Each formula must have an `args` array: name = args[0]; description = args[args.length - 1] only when args.length >= 2, else ''.
 * @param formulas - Shared formulas in JSON format (array of { function, args })
 * @returns YAML block with heading and list of { name, description }, or empty string if none
 */
export declare function buildCompactSharedFormulas(formulas: JSONArray): string;
/**
 * Builds the compact schema string returned to the LLM (intro + tables/columns + optional shared formulas).
 * Reduces token use by returning a single string instead of a JSON object.
 * @param dataSourceTitle - The title of the data source
 * @param fields - The full list of fields from the data source
 * @param formulas - Optional shared formulas in NLQ JSON format (for the chat agent)
 * @returns A compact schema string with table and column names, and shared formulas when provided
 */
export declare function getDataSourceFieldsSummary(dataSourceTitle: string, fields: DataSourceFieldWithDescription[] | DataSourceField[], formulas?: JSONArray): string;
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