import { SDKCore } from "../core.js";
import { RequestOptions } from "../lib/sdks.js";
import * as components from "../models/components/index.js";
import { ConnectionError, InvalidRequestError, RequestAbortedError, RequestTimeoutError, UnexpectedClientError } from "../models/errors/httpclienterrors.js";
import { ResponseValidationError } from "../models/errors/responsevalidationerror.js";
import { SDKError } from "../models/errors/sdkerror.js";
import { SDKValidationError } from "../models/errors/sdkvalidationerror.js";
import * as operations from "../models/operations/index.js";
import { APIPromise } from "../types/async.js";
import { Result } from "../types/fp.js";
/**
 * Create an eval suite
 *
 * @remarks
 * Creates a team-scoped declarative eval suite. Dataset and Python grader files must be uploaded separately with purpose 'evals'.
 */
export declare function llmEvalsCreateSuite(client: SDKCore, request: operations.CreateEvalSuiteRequest, options?: RequestOptions): APIPromise<Result<components.EvalSuiteObject, SDKError | ResponseValidationError | ConnectionError | RequestAbortedError | RequestTimeoutError | InvalidRequestError | UnexpectedClientError | SDKValidationError>>;
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