import { OrqCore } from "../core.js";
import { RequestOptions } from "../lib/sdks.js";
import { ConnectionError, InvalidRequestError, RequestAbortedError, RequestTimeoutError, UnexpectedClientError } from "../models/errors/httpclienterrors.js";
import { OrqError } from "../models/errors/orqerror.js";
import { ResponseValidationError } from "../models/errors/responsevalidationerror.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 AWS Bedrock custom model
 *
 * @remarks
 * Registers an AWS Bedrock inference profile as a custom model for the workspace. Credentials are resolved at request time via either the integration reference or pod-identity — nothing is stored with the model.
 */
export declare function modelsCreateAwsBedrock(client: OrqCore, request: operations.ModelCreateAwsBedrockRequestBody, options?: RequestOptions): APIPromise<Result<operations.ModelCreateAwsBedrockResponseBody, OrqError | ResponseValidationError | ConnectionError | RequestAbortedError | RequestTimeoutError | InvalidRequestError | UnexpectedClientError | SDKValidationError>>;
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