import type * as gax from 'google-gax'; import type { Callback, CallOptions, Descriptors, ClientOptions, LROperation, PaginationCallback } from 'google-gax'; import { Transform } from 'stream'; import * as protos from '../../protos/protos'; /** * Provides methods for getting metadata information about Generative Models. * @class * @memberof v1alpha */ export declare class ModelServiceClient { private _terminated; private _opts; private _providedCustomServicePath; private _gaxModule; private _gaxGrpc; private _protos; private _defaults; private _universeDomain; private _servicePath; private _log; auth: gax.GoogleAuth; descriptors: Descriptors; warn: (code: string, message: string, warnType?: string) => void; innerApiCalls: { [name: string]: Function; }; pathTemplates: { [name: string]: gax.PathTemplate; }; operationsClient: gax.OperationsClient; modelServiceStub?: Promise<{ [name: string]: Function; }>; /** * Construct an instance of ModelServiceClient. * * @param {object} [options] - The configuration object. * The options accepted by the constructor are described in detail * in [this document](https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#creating-the-client-instance). * The common options are: * @param {object} [options.credentials] - Credentials object. * @param {string} [options.credentials.client_email] * @param {string} [options.credentials.private_key] * @param {string} [options.email] - Account email address. Required when * using a .pem or .p12 keyFilename. * @param {string} [options.keyFilename] - Full path to the a .json, .pem, or * .p12 key downloaded from the Google Developers Console. If you provide * a path to a JSON file, the projectId option below is not necessary. * NOTE: .pem and .p12 require you to specify options.email as well. * @param {number} [options.port] - The port on which to connect to * the remote host. * @param {string} [options.projectId] - The project ID from the Google * Developer's Console, e.g. 'grape-spaceship-123'. We will also check * the environment variable GCLOUD_PROJECT for your project ID. If your * app is running in an environment which supports * {@link https://cloud.google.com/docs/authentication/application-default-credentials Application Default Credentials}, * your project ID will be detected automatically. * @param {string} [options.apiEndpoint] - The domain name of the * API remote host. * @param {gax.ClientConfig} [options.clientConfig] - Client configuration override. * Follows the structure of {@link gapicConfig}. * @param {boolean} [options.fallback] - Use HTTP/1.1 REST mode. * For more information, please check the * {@link https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#http11-rest-api-mode documentation}. * @param {gax} [gaxInstance]: loaded instance of `google-gax`. Useful if you * need to avoid loading the default gRPC version and want to use the fallback * HTTP implementation. Load only fallback version and pass it to the constructor: * ``` * const gax = require('google-gax/build/src/fallback'); // avoids loading google-gax with gRPC * const client = new ModelServiceClient({fallback: true}, gax); * ``` */ constructor(opts?: ClientOptions, gaxInstance?: typeof gax | typeof gax.fallback); /** * Initialize the client. * Performs asynchronous operations (such as authentication) and prepares the client. * This function will be called automatically when any class method is called for the * first time, but if you need to initialize it before calling an actual method, * feel free to call initialize() directly. * * You can await on this method if you want to make sure the client is initialized. * * @returns {Promise} A promise that resolves to an authenticated service stub. */ initialize(): Promise<{ [name: string]: Function; }>; /** * The DNS address for this API service. * @deprecated Use the apiEndpoint method of the client instance. * @returns {string} The DNS address for this service. */ static get servicePath(): string; /** * The DNS address for this API service - same as servicePath. * @deprecated Use the apiEndpoint method of the client instance. * @returns {string} The DNS address for this service. */ static get apiEndpoint(): string; /** * The DNS address for this API service. * @returns {string} The DNS address for this service. */ get apiEndpoint(): string; get universeDomain(): string; /** * The port for this API service. * @returns {number} The default port for this service. */ static get port(): number; /** * The scopes needed to make gRPC calls for every method defined * in this service. * @returns {string[]} List of default scopes. */ static get scopes(): never[]; getProjectId(): Promise; getProjectId(callback: Callback): void; /** * Gets information about a specific `Model` such as its version number, token * limits, * [parameters](https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters) * and other metadata. Refer to the [Gemini models * guide](https://ai.google.dev/gemini-api/docs/models/gemini) for detailed * model information. * * @param {Object} request * The request object that will be sent. * @param {string} request.name * Required. The resource name of the model. * * This name should match a model name returned by the `ListModels` method. * * Format: `models/{model}` * @param {object} [options] * Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details. * @returns {Promise} - The promise which resolves to an array. * The first element of the array is an object representing {@link protos.google.ai.generativelanguage.v1alpha.Model|Model}. * Please see the {@link https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods | documentation } * for more details and examples. * @example include:samples/generated/v1alpha/model_service.get_model.js * region_tag:generativelanguage_v1alpha_generated_ModelService_GetModel_async */ getModel(request?: protos.google.ai.generativelanguage.v1alpha.IGetModelRequest, options?: CallOptions): Promise<[ protos.google.ai.generativelanguage.v1alpha.IModel, protos.google.ai.generativelanguage.v1alpha.IGetModelRequest | undefined, {} | undefined ]>; getModel(request: protos.google.ai.generativelanguage.v1alpha.IGetModelRequest, options: CallOptions, callback: Callback): void; getModel(request: protos.google.ai.generativelanguage.v1alpha.IGetModelRequest, callback: Callback): void; /** * Gets information about a specific TunedModel. * * @param {Object} request * The request object that will be sent. * @param {string} request.name * Required. The resource name of the model. * * Format: `tunedModels/my-model-id` * @param {object} [options] * Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details. * @returns {Promise} - The promise which resolves to an array. * The first element of the array is an object representing {@link protos.google.ai.generativelanguage.v1alpha.TunedModel|TunedModel}. * Please see the {@link https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods | documentation } * for more details and examples. * @example include:samples/generated/v1alpha/model_service.get_tuned_model.js * region_tag:generativelanguage_v1alpha_generated_ModelService_GetTunedModel_async */ getTunedModel(request?: protos.google.ai.generativelanguage.v1alpha.IGetTunedModelRequest, options?: CallOptions): Promise<[ protos.google.ai.generativelanguage.v1alpha.ITunedModel, (protos.google.ai.generativelanguage.v1alpha.IGetTunedModelRequest | undefined), {} | undefined ]>; getTunedModel(request: protos.google.ai.generativelanguage.v1alpha.IGetTunedModelRequest, options: CallOptions, callback: Callback): void; getTunedModel(request: protos.google.ai.generativelanguage.v1alpha.IGetTunedModelRequest, callback: Callback): void; /** * Updates a tuned model. * * @param {Object} request * The request object that will be sent. * @param {google.ai.generativelanguage.v1alpha.TunedModel} request.tunedModel * Required. The tuned model to update. * @param {google.protobuf.FieldMask} [request.updateMask] * Optional. The list of fields to update. * @param {object} [options] * Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details. * @returns {Promise} - The promise which resolves to an array. * The first element of the array is an object representing {@link protos.google.ai.generativelanguage.v1alpha.TunedModel|TunedModel}. * Please see the {@link https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods | documentation } * for more details and examples. * @example include:samples/generated/v1alpha/model_service.update_tuned_model.js * region_tag:generativelanguage_v1alpha_generated_ModelService_UpdateTunedModel_async */ updateTunedModel(request?: protos.google.ai.generativelanguage.v1alpha.IUpdateTunedModelRequest, options?: CallOptions): Promise<[ protos.google.ai.generativelanguage.v1alpha.ITunedModel, (protos.google.ai.generativelanguage.v1alpha.IUpdateTunedModelRequest | undefined), {} | undefined ]>; updateTunedModel(request: protos.google.ai.generativelanguage.v1alpha.IUpdateTunedModelRequest, options: CallOptions, callback: Callback): void; updateTunedModel(request: protos.google.ai.generativelanguage.v1alpha.IUpdateTunedModelRequest, callback: Callback): void; /** * Deletes a tuned model. * * @param {Object} request * The request object that will be sent. * @param {string} request.name * Required. The resource name of the model. * Format: `tunedModels/my-model-id` * @param {object} [options] * Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details. * @returns {Promise} - The promise which resolves to an array. * The first element of the array is an object representing {@link protos.google.protobuf.Empty|Empty}. * Please see the {@link https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods | documentation } * for more details and examples. * @example include:samples/generated/v1alpha/model_service.delete_tuned_model.js * region_tag:generativelanguage_v1alpha_generated_ModelService_DeleteTunedModel_async */ deleteTunedModel(request?: protos.google.ai.generativelanguage.v1alpha.IDeleteTunedModelRequest, options?: CallOptions): Promise<[ protos.google.protobuf.IEmpty, (protos.google.ai.generativelanguage.v1alpha.IDeleteTunedModelRequest | undefined), {} | undefined ]>; deleteTunedModel(request: protos.google.ai.generativelanguage.v1alpha.IDeleteTunedModelRequest, options: CallOptions, callback: Callback): void; deleteTunedModel(request: protos.google.ai.generativelanguage.v1alpha.IDeleteTunedModelRequest, callback: Callback): void; /** * Creates a tuned model. * Check intermediate tuning progress (if any) through the * [google.longrunning.Operations] service. * * Access status and results through the Operations service. * Example: * GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222 * * @param {Object} request * The request object that will be sent. * @param {string} [request.tunedModelId] * Optional. The unique id for the tuned model if specified. * This value should be up to 40 characters, the first character must be a * letter, the last could be a letter or a number. The id must match the * regular expression: `[a-z]([a-z0-9-]{0,38}[a-z0-9])?`. * @param {google.ai.generativelanguage.v1alpha.TunedModel} request.tunedModel * Required. The tuned model to create. * @param {object} [options] * Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details. * @returns {Promise} - The promise which resolves to an array. * The first element of the array is an object representing * a long running operation. Its `promise()` method returns a promise * you can `await` for. * Please see the {@link https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#long-running-operations | documentation } * for more details and examples. * @example include:samples/generated/v1alpha/model_service.create_tuned_model.js * region_tag:generativelanguage_v1alpha_generated_ModelService_CreateTunedModel_async */ createTunedModel(request?: protos.google.ai.generativelanguage.v1alpha.ICreateTunedModelRequest, options?: CallOptions): Promise<[ LROperation, protos.google.longrunning.IOperation | undefined, {} | undefined ]>; createTunedModel(request: protos.google.ai.generativelanguage.v1alpha.ICreateTunedModelRequest, options: CallOptions, callback: Callback, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void; createTunedModel(request: protos.google.ai.generativelanguage.v1alpha.ICreateTunedModelRequest, callback: Callback, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void; /** * Check the status of the long running operation returned by `createTunedModel()`. * @param {String} name * The operation name that will be passed. * @returns {Promise} - The promise which resolves to an object. * The decoded operation object has result and metadata field to get information from. * Please see the {@link https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#long-running-operations | documentation } * for more details and examples. * @example include:samples/generated/v1alpha/model_service.create_tuned_model.js * region_tag:generativelanguage_v1alpha_generated_ModelService_CreateTunedModel_async */ checkCreateTunedModelProgress(name: string): Promise>; /** * Lists the [`Model`s](https://ai.google.dev/gemini-api/docs/models/gemini) * available through the Gemini API. * * @param {Object} request * The request object that will be sent. * @param {number} request.pageSize * The maximum number of `Models` to return (per page). * * If unspecified, 50 models will be returned per page. * This method returns at most 1000 models per page, even if you pass a larger * page_size. * @param {string} request.pageToken * A page token, received from a previous `ListModels` call. * * Provide the `page_token` returned by one request as an argument to the next * request to retrieve the next page. * * When paginating, all other parameters provided to `ListModels` must match * the call that provided the page token. * @param {object} [options] * Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details. * @returns {Promise} - The promise which resolves to an array. * The first element of the array is Array of {@link protos.google.ai.generativelanguage.v1alpha.Model|Model}. * The client library will perform auto-pagination by default: it will call the API as many * times as needed and will merge results from all the pages into this array. * Note that it can affect your quota. * We recommend using `listModelsAsync()` * method described below for async iteration which you can stop as needed. * Please see the {@link https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination | documentation } * for more details and examples. */ listModels(request?: protos.google.ai.generativelanguage.v1alpha.IListModelsRequest, options?: CallOptions): Promise<[ protos.google.ai.generativelanguage.v1alpha.IModel[], protos.google.ai.generativelanguage.v1alpha.IListModelsRequest | null, protos.google.ai.generativelanguage.v1alpha.IListModelsResponse ]>; listModels(request: protos.google.ai.generativelanguage.v1alpha.IListModelsRequest, options: CallOptions, callback: PaginationCallback): void; listModels(request: protos.google.ai.generativelanguage.v1alpha.IListModelsRequest, callback: PaginationCallback): void; /** * Equivalent to `listModels`, but returns a NodeJS Stream object. * @param {Object} request * The request object that will be sent. * @param {number} request.pageSize * The maximum number of `Models` to return (per page). * * If unspecified, 50 models will be returned per page. * This method returns at most 1000 models per page, even if you pass a larger * page_size. * @param {string} request.pageToken * A page token, received from a previous `ListModels` call. * * Provide the `page_token` returned by one request as an argument to the next * request to retrieve the next page. * * When paginating, all other parameters provided to `ListModels` must match * the call that provided the page token. * @param {object} [options] * Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details. * @returns {Stream} * An object stream which emits an object representing {@link protos.google.ai.generativelanguage.v1alpha.Model|Model} on 'data' event. * The client library will perform auto-pagination by default: it will call the API as many * times as needed. Note that it can affect your quota. * We recommend using `listModelsAsync()` * method described below for async iteration which you can stop as needed. * Please see the {@link https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination | documentation } * for more details and examples. */ listModelsStream(request?: protos.google.ai.generativelanguage.v1alpha.IListModelsRequest, options?: CallOptions): Transform; /** * Equivalent to `listModels`, but returns an iterable object. * * `for`-`await`-`of` syntax is used with the iterable to get response elements on-demand. * @param {Object} request * The request object that will be sent. * @param {number} request.pageSize * The maximum number of `Models` to return (per page). * * If unspecified, 50 models will be returned per page. * This method returns at most 1000 models per page, even if you pass a larger * page_size. * @param {string} request.pageToken * A page token, received from a previous `ListModels` call. * * Provide the `page_token` returned by one request as an argument to the next * request to retrieve the next page. * * When paginating, all other parameters provided to `ListModels` must match * the call that provided the page token. * @param {object} [options] * Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details. * @returns {Object} * An iterable Object that allows {@link https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols | async iteration }. * When you iterate the returned iterable, each element will be an object representing * {@link protos.google.ai.generativelanguage.v1alpha.Model|Model}. The API will be called under the hood as needed, once per the page, * so you can stop the iteration when you don't need more results. * Please see the {@link https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination | documentation } * for more details and examples. * @example include:samples/generated/v1alpha/model_service.list_models.js * region_tag:generativelanguage_v1alpha_generated_ModelService_ListModels_async */ listModelsAsync(request?: protos.google.ai.generativelanguage.v1alpha.IListModelsRequest, options?: CallOptions): AsyncIterable; /** * Lists created tuned models. * * @param {Object} request * The request object that will be sent. * @param {number} [request.pageSize] * Optional. The maximum number of `TunedModels` to return (per page). * The service may return fewer tuned models. * * If unspecified, at most 10 tuned models will be returned. * This method returns at most 1000 models per page, even if you pass a larger * page_size. * @param {string} [request.pageToken] * Optional. A page token, received from a previous `ListTunedModels` call. * * Provide the `page_token` returned by one request as an argument to the next * request to retrieve the next page. * * When paginating, all other parameters provided to `ListTunedModels` * must match the call that provided the page token. * @param {string} [request.filter] * Optional. A filter is a full text search over the tuned model's description * and display name. By default, results will not include tuned models shared * with everyone. * * Additional operators: * - owner:me * - writers:me * - readers:me * - readers:everyone * * Examples: * "owner:me" returns all tuned models to which caller has owner role * "readers:me" returns all tuned models to which caller has reader role * "readers:everyone" returns all tuned models that are shared with everyone * @param {object} [options] * Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details. * @returns {Promise} - The promise which resolves to an array. * The first element of the array is Array of {@link protos.google.ai.generativelanguage.v1alpha.TunedModel|TunedModel}. * The client library will perform auto-pagination by default: it will call the API as many * times as needed and will merge results from all the pages into this array. * Note that it can affect your quota. * We recommend using `listTunedModelsAsync()` * method described below for async iteration which you can stop as needed. * Please see the {@link https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination | documentation } * for more details and examples. */ listTunedModels(request?: protos.google.ai.generativelanguage.v1alpha.IListTunedModelsRequest, options?: CallOptions): Promise<[ protos.google.ai.generativelanguage.v1alpha.ITunedModel[], protos.google.ai.generativelanguage.v1alpha.IListTunedModelsRequest | null, protos.google.ai.generativelanguage.v1alpha.IListTunedModelsResponse ]>; listTunedModels(request: protos.google.ai.generativelanguage.v1alpha.IListTunedModelsRequest, options: CallOptions, callback: PaginationCallback): void; listTunedModels(request: protos.google.ai.generativelanguage.v1alpha.IListTunedModelsRequest, callback: PaginationCallback): void; /** * Equivalent to `listTunedModels`, but returns a NodeJS Stream object. * @param {Object} request * The request object that will be sent. * @param {number} [request.pageSize] * Optional. The maximum number of `TunedModels` to return (per page). * The service may return fewer tuned models. * * If unspecified, at most 10 tuned models will be returned. * This method returns at most 1000 models per page, even if you pass a larger * page_size. * @param {string} [request.pageToken] * Optional. A page token, received from a previous `ListTunedModels` call. * * Provide the `page_token` returned by one request as an argument to the next * request to retrieve the next page. * * When paginating, all other parameters provided to `ListTunedModels` * must match the call that provided the page token. * @param {string} [request.filter] * Optional. A filter is a full text search over the tuned model's description * and display name. By default, results will not include tuned models shared * with everyone. * * Additional operators: * - owner:me * - writers:me * - readers:me * - readers:everyone * * Examples: * "owner:me" returns all tuned models to which caller has owner role * "readers:me" returns all tuned models to which caller has reader role * "readers:everyone" returns all tuned models that are shared with everyone * @param {object} [options] * Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details. * @returns {Stream} * An object stream which emits an object representing {@link protos.google.ai.generativelanguage.v1alpha.TunedModel|TunedModel} on 'data' event. * The client library will perform auto-pagination by default: it will call the API as many * times as needed. Note that it can affect your quota. * We recommend using `listTunedModelsAsync()` * method described below for async iteration which you can stop as needed. * Please see the {@link https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination | documentation } * for more details and examples. */ listTunedModelsStream(request?: protos.google.ai.generativelanguage.v1alpha.IListTunedModelsRequest, options?: CallOptions): Transform; /** * Equivalent to `listTunedModels`, but returns an iterable object. * * `for`-`await`-`of` syntax is used with the iterable to get response elements on-demand. * @param {Object} request * The request object that will be sent. * @param {number} [request.pageSize] * Optional. The maximum number of `TunedModels` to return (per page). * The service may return fewer tuned models. * * If unspecified, at most 10 tuned models will be returned. * This method returns at most 1000 models per page, even if you pass a larger * page_size. * @param {string} [request.pageToken] * Optional. A page token, received from a previous `ListTunedModels` call. * * Provide the `page_token` returned by one request as an argument to the next * request to retrieve the next page. * * When paginating, all other parameters provided to `ListTunedModels` * must match the call that provided the page token. * @param {string} [request.filter] * Optional. A filter is a full text search over the tuned model's description * and display name. By default, results will not include tuned models shared * with everyone. * * Additional operators: * - owner:me * - writers:me * - readers:me * - readers:everyone * * Examples: * "owner:me" returns all tuned models to which caller has owner role * "readers:me" returns all tuned models to which caller has reader role * "readers:everyone" returns all tuned models that are shared with everyone * @param {object} [options] * Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details. * @returns {Object} * An iterable Object that allows {@link https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols | async iteration }. * When you iterate the returned iterable, each element will be an object representing * {@link protos.google.ai.generativelanguage.v1alpha.TunedModel|TunedModel}. The API will be called under the hood as needed, once per the page, * so you can stop the iteration when you don't need more results. * Please see the {@link https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination | documentation } * for more details and examples. * @example include:samples/generated/v1alpha/model_service.list_tuned_models.js * region_tag:generativelanguage_v1alpha_generated_ModelService_ListTunedModels_async */ listTunedModelsAsync(request?: protos.google.ai.generativelanguage.v1alpha.IListTunedModelsRequest, options?: CallOptions): AsyncIterable; /** * Gets the latest state of a long-running operation. Clients can use this * method to poll the operation result at intervals as recommended by the API * service. * * @param {Object} request - The request object that will be sent. * @param {string} request.name - The name of the operation resource. * @param {Object=} options * Optional parameters. You can override the default settings for this call, * e.g, timeout, retries, paginations, etc. See {@link * https://googleapis.github.io/gax-nodejs/global.html#CallOptions | gax.CallOptions} * for the details. * @param {function(?Error, ?Object)=} callback * The function which will be called with the result of the API call. * * The second parameter to the callback is an object representing * {@link google.longrunning.Operation | google.longrunning.Operation}. * @return {Promise} - The promise which resolves to an array. * The first element of the array is an object representing * {@link google.longrunning.Operation | google.longrunning.Operation}. * The promise has a method named "cancel" which cancels the ongoing API call. * * @example * ``` * const client = longrunning.operationsClient(); * const name = ''; * const [response] = await client.getOperation({name}); * // doThingsWith(response) * ``` */ getOperation(request: protos.google.longrunning.GetOperationRequest, optionsOrCallback?: gax.CallOptions | Callback, callback?: Callback): Promise<[protos.google.longrunning.Operation]>; /** * Lists operations that match the specified filter in the request. If the * server doesn't support this method, it returns `UNIMPLEMENTED`. Returns an iterable object. * * For-await-of syntax is used with the iterable to recursively get response element on-demand. * * @param {Object} request - The request object that will be sent. * @param {string} request.name - The name of the operation collection. * @param {string} request.filter - The standard list filter. * @param {number=} request.pageSize - * The maximum number of resources contained in the underlying API * response. If page streaming is performed per-resource, this * parameter does not affect the return value. If page streaming is * performed per-page, this determines the maximum number of * resources in a page. * @param {Object=} options * Optional parameters. You can override the default settings for this call, * e.g, timeout, retries, paginations, etc. See {@link * https://googleapis.github.io/gax-nodejs/global.html#CallOptions | gax.CallOptions} for the * details. * @returns {Object} * An iterable Object that conforms to {@link https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols | iteration protocols}. * * @example * ``` * const client = longrunning.operationsClient(); * for await (const response of client.listOperationsAsync(request)); * // doThingsWith(response) * ``` */ listOperationsAsync(request: protos.google.longrunning.ListOperationsRequest, options?: gax.CallOptions): AsyncIterable; /** * Starts asynchronous cancellation on a long-running operation. The server * makes a best effort to cancel the operation, but success is not * guaranteed. If the server doesn't support this method, it returns * `google.rpc.Code.UNIMPLEMENTED`. Clients can use * {@link Operations.GetOperation} or * other methods to check whether the cancellation succeeded or whether the * operation completed despite cancellation. On successful cancellation, * the operation is not deleted; instead, it becomes an operation with * an {@link Operation.error} value with a {@link google.rpc.Status.code} of * 1, corresponding to `Code.CANCELLED`. * * @param {Object} request - The request object that will be sent. * @param {string} request.name - The name of the operation resource to be cancelled. * @param {Object=} options * Optional parameters. You can override the default settings for this call, * e.g, timeout, retries, paginations, etc. See {@link * https://googleapis.github.io/gax-nodejs/global.html#CallOptions | gax.CallOptions} for the * details. * @param {function(?Error)=} callback * The function which will be called with the result of the API call. * @return {Promise} - The promise which resolves when API call finishes. * The promise has a method named "cancel" which cancels the ongoing API * call. * * @example * ``` * const client = longrunning.operationsClient(); * await client.cancelOperation({name: ''}); * ``` */ cancelOperation(request: protos.google.longrunning.CancelOperationRequest, optionsOrCallback?: gax.CallOptions | Callback, callback?: Callback): Promise; /** * Deletes a long-running operation. This method indicates that the client is * no longer interested in the operation result. It does not cancel the * operation. If the server doesn't support this method, it returns * `google.rpc.Code.UNIMPLEMENTED`. * * @param {Object} request - The request object that will be sent. * @param {string} request.name - The name of the operation resource to be deleted. * @param {Object=} options * Optional parameters. You can override the default settings for this call, * e.g, timeout, retries, paginations, etc. See {@link * https://googleapis.github.io/gax-nodejs/global.html#CallOptions | gax.CallOptions} * for the details. * @param {function(?Error)=} callback * The function which will be called with the result of the API call. * @return {Promise} - The promise which resolves when API call finishes. * The promise has a method named "cancel" which cancels the ongoing API * call. * * @example * ``` * const client = longrunning.operationsClient(); * await client.deleteOperation({name: ''}); * ``` */ deleteOperation(request: protos.google.longrunning.DeleteOperationRequest, optionsOrCallback?: gax.CallOptions | Callback, callback?: Callback): Promise; /** * Return a fully-qualified cachedContent resource name string. * * @param {string} id * @returns {string} Resource name string. */ cachedContentPath(id: string): string; /** * Parse the id from CachedContent resource. * * @param {string} cachedContentName * A fully-qualified path representing CachedContent resource. * @returns {string} A string representing the id. */ matchIdFromCachedContentName(cachedContentName: string): string | number; /** * Return a fully-qualified chunk resource name string. * * @param {string} corpus * @param {string} document * @param {string} chunk * @returns {string} Resource name string. */ chunkPath(corpus: string, document: string, chunk: string): string; /** * Parse the corpus from Chunk resource. * * @param {string} chunkName * A fully-qualified path representing Chunk resource. * @returns {string} A string representing the corpus. */ matchCorpusFromChunkName(chunkName: string): string | number; /** * Parse the document from Chunk resource. * * @param {string} chunkName * A fully-qualified path representing Chunk resource. * @returns {string} A string representing the document. */ matchDocumentFromChunkName(chunkName: string): string | number; /** * Parse the chunk from Chunk resource. * * @param {string} chunkName * A fully-qualified path representing Chunk resource. * @returns {string} A string representing the chunk. */ matchChunkFromChunkName(chunkName: string): string | number; /** * Return a fully-qualified corpus resource name string. * * @param {string} corpus * @returns {string} Resource name string. */ corpusPath(corpus: string): string; /** * Parse the corpus from Corpus resource. * * @param {string} corpusName * A fully-qualified path representing Corpus resource. * @returns {string} A string representing the corpus. */ matchCorpusFromCorpusName(corpusName: string): string | number; /** * Return a fully-qualified corpusPermission resource name string. * * @param {string} corpus * @param {string} permission * @returns {string} Resource name string. */ corpusPermissionPath(corpus: string, permission: string): string; /** * Parse the corpus from CorpusPermission resource. * * @param {string} corpusPermissionName * A fully-qualified path representing corpus_permission resource. * @returns {string} A string representing the corpus. */ matchCorpusFromCorpusPermissionName(corpusPermissionName: string): string | number; /** * Parse the permission from CorpusPermission resource. * * @param {string} corpusPermissionName * A fully-qualified path representing corpus_permission resource. * @returns {string} A string representing the permission. */ matchPermissionFromCorpusPermissionName(corpusPermissionName: string): string | number; /** * Return a fully-qualified document resource name string. * * @param {string} corpus * @param {string} document * @returns {string} Resource name string. */ documentPath(corpus: string, document: string): string; /** * Parse the corpus from Document resource. * * @param {string} documentName * A fully-qualified path representing Document resource. * @returns {string} A string representing the corpus. */ matchCorpusFromDocumentName(documentName: string): string | number; /** * Parse the document from Document resource. * * @param {string} documentName * A fully-qualified path representing Document resource. * @returns {string} A string representing the document. */ matchDocumentFromDocumentName(documentName: string): string | number; /** * Return a fully-qualified file resource name string. * * @param {string} file * @returns {string} Resource name string. */ filePath(file: string): string; /** * Parse the file from File resource. * * @param {string} fileName * A fully-qualified path representing File resource. * @returns {string} A string representing the file. */ matchFileFromFileName(fileName: string): string | number; /** * Return a fully-qualified model resource name string. * * @param {string} model * @returns {string} Resource name string. */ modelPath(model: string): string; /** * Parse the model from Model resource. * * @param {string} modelName * A fully-qualified path representing Model resource. * @returns {string} A string representing the model. */ matchModelFromModelName(modelName: string): string | number; /** * Return a fully-qualified tunedModel resource name string. * * @param {string} tuned_model * @returns {string} Resource name string. */ tunedModelPath(tunedModel: string): string; /** * Parse the tuned_model from TunedModel resource. * * @param {string} tunedModelName * A fully-qualified path representing TunedModel resource. * @returns {string} A string representing the tuned_model. */ matchTunedModelFromTunedModelName(tunedModelName: string): string | number; /** * Return a fully-qualified tunedModelPermission resource name string. * * @param {string} tuned_model * @param {string} permission * @returns {string} Resource name string. */ tunedModelPermissionPath(tunedModel: string, permission: string): string; /** * Parse the tuned_model from TunedModelPermission resource. * * @param {string} tunedModelPermissionName * A fully-qualified path representing tuned_model_permission resource. * @returns {string} A string representing the tuned_model. */ matchTunedModelFromTunedModelPermissionName(tunedModelPermissionName: string): string | number; /** * Parse the permission from TunedModelPermission resource. * * @param {string} tunedModelPermissionName * A fully-qualified path representing tuned_model_permission resource. * @returns {string} A string representing the permission. */ matchPermissionFromTunedModelPermissionName(tunedModelPermissionName: string): string | number; /** * Terminate the gRPC channel and close the client. * * The client will no longer be usable and all future behavior is undefined. * @returns {Promise} A promise that resolves when the client is closed. */ close(): Promise; }