@google-ai/generativelanguage
Version:
Generative Language API client for Node.js
658 lines (657 loc) • 40 kB
TypeScript
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 v1beta3
*/
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<string>;
getProjectId(callback: Callback<string, undefined, undefined>): void;
/**
* Gets information about a specific Model.
*
* @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.v1beta3.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 <caption>include:samples/generated/v1beta3/model_service.get_model.js</caption>
* region_tag:generativelanguage_v1beta3_generated_ModelService_GetModel_async
*/
getModel(request?: protos.google.ai.generativelanguage.v1beta3.IGetModelRequest, options?: CallOptions): Promise<[
protos.google.ai.generativelanguage.v1beta3.IModel,
protos.google.ai.generativelanguage.v1beta3.IGetModelRequest | undefined,
{} | undefined
]>;
getModel(request: protos.google.ai.generativelanguage.v1beta3.IGetModelRequest, options: CallOptions, callback: Callback<protos.google.ai.generativelanguage.v1beta3.IModel, protos.google.ai.generativelanguage.v1beta3.IGetModelRequest | null | undefined, {} | null | undefined>): void;
getModel(request: protos.google.ai.generativelanguage.v1beta3.IGetModelRequest, callback: Callback<protos.google.ai.generativelanguage.v1beta3.IModel, protos.google.ai.generativelanguage.v1beta3.IGetModelRequest | null | undefined, {} | null | undefined>): 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.v1beta3.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 <caption>include:samples/generated/v1beta3/model_service.get_tuned_model.js</caption>
* region_tag:generativelanguage_v1beta3_generated_ModelService_GetTunedModel_async
*/
getTunedModel(request?: protos.google.ai.generativelanguage.v1beta3.IGetTunedModelRequest, options?: CallOptions): Promise<[
protos.google.ai.generativelanguage.v1beta3.ITunedModel,
(protos.google.ai.generativelanguage.v1beta3.IGetTunedModelRequest | undefined),
{} | undefined
]>;
getTunedModel(request: protos.google.ai.generativelanguage.v1beta3.IGetTunedModelRequest, options: CallOptions, callback: Callback<protos.google.ai.generativelanguage.v1beta3.ITunedModel, protos.google.ai.generativelanguage.v1beta3.IGetTunedModelRequest | null | undefined, {} | null | undefined>): void;
getTunedModel(request: protos.google.ai.generativelanguage.v1beta3.IGetTunedModelRequest, callback: Callback<protos.google.ai.generativelanguage.v1beta3.ITunedModel, protos.google.ai.generativelanguage.v1beta3.IGetTunedModelRequest | null | undefined, {} | null | undefined>): void;
/**
* Updates a tuned model.
*
* @param {Object} request
* The request object that will be sent.
* @param {google.ai.generativelanguage.v1beta3.TunedModel} request.tunedModel
* Required. The tuned model to update.
* @param {google.protobuf.FieldMask} request.updateMask
* Required. 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.v1beta3.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 <caption>include:samples/generated/v1beta3/model_service.update_tuned_model.js</caption>
* region_tag:generativelanguage_v1beta3_generated_ModelService_UpdateTunedModel_async
*/
updateTunedModel(request?: protos.google.ai.generativelanguage.v1beta3.IUpdateTunedModelRequest, options?: CallOptions): Promise<[
protos.google.ai.generativelanguage.v1beta3.ITunedModel,
(protos.google.ai.generativelanguage.v1beta3.IUpdateTunedModelRequest | undefined),
{} | undefined
]>;
updateTunedModel(request: protos.google.ai.generativelanguage.v1beta3.IUpdateTunedModelRequest, options: CallOptions, callback: Callback<protos.google.ai.generativelanguage.v1beta3.ITunedModel, protos.google.ai.generativelanguage.v1beta3.IUpdateTunedModelRequest | null | undefined, {} | null | undefined>): void;
updateTunedModel(request: protos.google.ai.generativelanguage.v1beta3.IUpdateTunedModelRequest, callback: Callback<protos.google.ai.generativelanguage.v1beta3.ITunedModel, protos.google.ai.generativelanguage.v1beta3.IUpdateTunedModelRequest | null | undefined, {} | null | undefined>): 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 <caption>include:samples/generated/v1beta3/model_service.delete_tuned_model.js</caption>
* region_tag:generativelanguage_v1beta3_generated_ModelService_DeleteTunedModel_async
*/
deleteTunedModel(request?: protos.google.ai.generativelanguage.v1beta3.IDeleteTunedModelRequest, options?: CallOptions): Promise<[
protos.google.protobuf.IEmpty,
(protos.google.ai.generativelanguage.v1beta3.IDeleteTunedModelRequest | undefined),
{} | undefined
]>;
deleteTunedModel(request: protos.google.ai.generativelanguage.v1beta3.IDeleteTunedModelRequest, options: CallOptions, callback: Callback<protos.google.protobuf.IEmpty, protos.google.ai.generativelanguage.v1beta3.IDeleteTunedModelRequest | null | undefined, {} | null | undefined>): void;
deleteTunedModel(request: protos.google.ai.generativelanguage.v1beta3.IDeleteTunedModelRequest, callback: Callback<protos.google.protobuf.IEmpty, protos.google.ai.generativelanguage.v1beta3.IDeleteTunedModelRequest | null | undefined, {} | null | undefined>): void;
/**
* Creates a tuned model.
* Intermediate tuning progress (if any) is accessed through the
* [google.longrunning.Operations] service.
*
* Status and results can be accessed 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.v1beta3.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 <caption>include:samples/generated/v1beta3/model_service.create_tuned_model.js</caption>
* region_tag:generativelanguage_v1beta3_generated_ModelService_CreateTunedModel_async
*/
createTunedModel(request?: protos.google.ai.generativelanguage.v1beta3.ICreateTunedModelRequest, options?: CallOptions): Promise<[
LROperation<protos.google.ai.generativelanguage.v1beta3.ITunedModel, protos.google.ai.generativelanguage.v1beta3.ICreateTunedModelMetadata>,
protos.google.longrunning.IOperation | undefined,
{} | undefined
]>;
createTunedModel(request: protos.google.ai.generativelanguage.v1beta3.ICreateTunedModelRequest, options: CallOptions, callback: Callback<LROperation<protos.google.ai.generativelanguage.v1beta3.ITunedModel, protos.google.ai.generativelanguage.v1beta3.ICreateTunedModelMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;
createTunedModel(request: protos.google.ai.generativelanguage.v1beta3.ICreateTunedModelRequest, callback: Callback<LROperation<protos.google.ai.generativelanguage.v1beta3.ITunedModel, protos.google.ai.generativelanguage.v1beta3.ICreateTunedModelMetadata>, 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 <caption>include:samples/generated/v1beta3/model_service.create_tuned_model.js</caption>
* region_tag:generativelanguage_v1beta3_generated_ModelService_CreateTunedModel_async
*/
checkCreateTunedModelProgress(name: string): Promise<LROperation<protos.google.ai.generativelanguage.v1beta3.TunedModel, protos.google.ai.generativelanguage.v1beta3.CreateTunedModelMetadata>>;
/**
* Lists models available through the API.
*
* @param {Object} request
* The request object that will be sent.
* @param {number} request.pageSize
* The maximum number of `Models` to return (per page).
*
* The service may return fewer models.
* If unspecified, at most 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.v1beta3.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.v1beta3.IListModelsRequest, options?: CallOptions): Promise<[
protos.google.ai.generativelanguage.v1beta3.IModel[],
protos.google.ai.generativelanguage.v1beta3.IListModelsRequest | null,
protos.google.ai.generativelanguage.v1beta3.IListModelsResponse
]>;
listModels(request: protos.google.ai.generativelanguage.v1beta3.IListModelsRequest, options: CallOptions, callback: PaginationCallback<protos.google.ai.generativelanguage.v1beta3.IListModelsRequest, protos.google.ai.generativelanguage.v1beta3.IListModelsResponse | null | undefined, protos.google.ai.generativelanguage.v1beta3.IModel>): void;
listModels(request: protos.google.ai.generativelanguage.v1beta3.IListModelsRequest, callback: PaginationCallback<protos.google.ai.generativelanguage.v1beta3.IListModelsRequest, protos.google.ai.generativelanguage.v1beta3.IListModelsResponse | null | undefined, protos.google.ai.generativelanguage.v1beta3.IModel>): 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).
*
* The service may return fewer models.
* If unspecified, at most 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.v1beta3.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.v1beta3.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).
*
* The service may return fewer models.
* If unspecified, at most 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.v1beta3.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 <caption>include:samples/generated/v1beta3/model_service.list_models.js</caption>
* region_tag:generativelanguage_v1beta3_generated_ModelService_ListModels_async
*/
listModelsAsync(request?: protos.google.ai.generativelanguage.v1beta3.IListModelsRequest, options?: CallOptions): AsyncIterable<protos.google.ai.generativelanguage.v1beta3.IModel>;
/**
* Lists tuned models owned by the user.
*
* @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 {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.v1beta3.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.v1beta3.IListTunedModelsRequest, options?: CallOptions): Promise<[
protos.google.ai.generativelanguage.v1beta3.ITunedModel[],
protos.google.ai.generativelanguage.v1beta3.IListTunedModelsRequest | null,
protos.google.ai.generativelanguage.v1beta3.IListTunedModelsResponse
]>;
listTunedModels(request: protos.google.ai.generativelanguage.v1beta3.IListTunedModelsRequest, options: CallOptions, callback: PaginationCallback<protos.google.ai.generativelanguage.v1beta3.IListTunedModelsRequest, protos.google.ai.generativelanguage.v1beta3.IListTunedModelsResponse | null | undefined, protos.google.ai.generativelanguage.v1beta3.ITunedModel>): void;
listTunedModels(request: protos.google.ai.generativelanguage.v1beta3.IListTunedModelsRequest, callback: PaginationCallback<protos.google.ai.generativelanguage.v1beta3.IListTunedModelsRequest, protos.google.ai.generativelanguage.v1beta3.IListTunedModelsResponse | null | undefined, protos.google.ai.generativelanguage.v1beta3.ITunedModel>): 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 {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.v1beta3.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.v1beta3.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 {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.v1beta3.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 <caption>include:samples/generated/v1beta3/model_service.list_tuned_models.js</caption>
* region_tag:generativelanguage_v1beta3_generated_ModelService_ListTunedModels_async
*/
listTunedModelsAsync(request?: protos.google.ai.generativelanguage.v1beta3.IListTunedModelsRequest, options?: CallOptions): AsyncIterable<protos.google.ai.generativelanguage.v1beta3.ITunedModel>;
/**
* 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<protos.google.longrunning.Operation, protos.google.longrunning.GetOperationRequest, {} | null | undefined>, callback?: Callback<protos.google.longrunning.Operation, protos.google.longrunning.GetOperationRequest, {} | null | undefined>): 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<protos.google.longrunning.IOperation>;
/**
* 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<protos.google.longrunning.CancelOperationRequest, protos.google.protobuf.Empty, {} | undefined | null>, callback?: Callback<protos.google.longrunning.CancelOperationRequest, protos.google.protobuf.Empty, {} | undefined | null>): Promise<protos.google.protobuf.Empty>;
/**
* 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<protos.google.protobuf.Empty, protos.google.longrunning.DeleteOperationRequest, {} | null | undefined>, callback?: Callback<protos.google.protobuf.Empty, protos.google.longrunning.DeleteOperationRequest, {} | null | undefined>): Promise<protos.google.protobuf.Empty>;
/**
* 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 permission resource name string.
*
* @param {string} tuned_model
* @param {string} permission
* @returns {string} Resource name string.
*/
permissionPath(tunedModel: string, permission: string): string;
/**
* Parse the tuned_model from Permission resource.
*
* @param {string} permissionName
* A fully-qualified path representing Permission resource.
* @returns {string} A string representing the tuned_model.
*/
matchTunedModelFromPermissionName(permissionName: string): string | number;
/**
* Parse the permission from Permission resource.
*
* @param {string} permissionName
* A fully-qualified path representing Permission resource.
* @returns {string} A string representing the permission.
*/
matchPermissionFromPermissionName(permissionName: 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;
/**
* 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<void>;
}