Class v1beta.ModelServiceClient (2.4.0)

Provides methods for getting metadata information about Generative Models. v1beta

Package

Constructors

(constructor)(opts, gaxInstance)

constructor(opts?: ClientOptions, gaxInstance?: typeof gax | typeof gax.fallback);

Construct an instance of ModelServiceClient.

Parameters
Name	Description
`opts`	`ClientOptions`
`gaxInstance`	`typeof gax \| typeof fallback` : 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); ```

Properties

apiEndpoint

get apiEndpoint(): string;

The DNS address for this API service.

apiEndpoint

static get apiEndpoint(): string;

The DNS address for this API service - same as servicePath.

auth

auth: gax.GoogleAuth;

descriptors

descriptors: Descriptors;

innerApiCalls

innerApiCalls: {
        [name: string]: Function;
    };

modelServiceStub

modelServiceStub?: Promise<{
        [name: string]: Function;
    }>;

operationsClient

operationsClient: gax.OperationsClient;

pathTemplates

pathTemplates: {
        [name: string]: gax.PathTemplate;
    };

port

static get port(): number;

The port for this API service.

scopes

static get scopes(): never[];

The scopes needed to make gRPC calls for every method defined in this service.

servicePath

static get servicePath(): string;

The DNS address for this API service.

universeDomain

get universeDomain(): string;

warn

warn: (code: string, message: string, warnType?: string) => void;

Methods

cancelOperation(request, options, callback)

cancelOperation(request: protos.google.longrunning.CancelOperationRequest, options?: gax.CallOptions | Callback<protos.google.protobuf.Empty, protos.google.longrunning.CancelOperationRequest, {} | undefined | null>, callback?: Callback<protos.google.longrunning.CancelOperationRequest, protos.google.protobuf.Empty, {} | undefined | null>): Promise<protos.google.protobuf.Empty>;

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 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 value with a of 1, corresponding to Code.CANCELLED.

Parameters
Name	Description
`request`	`CancelOperationRequest` The request object that will be sent.
`options`	`CallOptions \| Callback<protos.google.protobuf.Empty, protos.google.longrunning.CancelOperationRequest, {} \| undefined \| null>` Optional parameters. You can override the default settings for this call, e.g, timeout, retries, paginations, etc. See gax.CallOptions for the details.
`callback`	`Callback<protos.google.longrunning.CancelOperationRequest, protos.google.protobuf.Empty, {} \| undefined \| null>` The function which will be called with the result of the API call. {Promise} - The promise which resolves when API call finishes. The promise has a method named "cancel" which cancels the ongoing API call.

Returns
Type	Description
`Promise<protos.google.protobuf.Empty>`

Example


const client = longrunning.operationsClient();
await client.cancelOperation({name: ''});

checkCreateTunedModelProgress(name)

checkCreateTunedModelProgress(name: string): Promise<LROperation<protos.google.ai.generativelanguage.v1beta.TunedModel, protos.google.ai.generativelanguage.v1beta.CreateTunedModelMetadata>>;

Check the status of the long running operation returned by createTunedModel().

Parameter
Name	Description
`name`	`string` The operation name that will be passed.

Returns
Type	Description
`Promise<LROperation<protos.google.ai.generativelanguage.v1beta.TunedModel, protos.google.ai.generativelanguage.v1beta.CreateTunedModelMetadata>>`	{Promise} - The promise which resolves to an object. The decoded operation object has result and metadata field to get information from. Please see the documentation for more details and examples.

Example


  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  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])?.
   */
  // const tunedModelId = 'abc123'
  /**
   *  Required. The tuned model to create.
   */
  // const tunedModel = {}

  // Imports the Generativelanguage library
  const {ModelServiceClient} = require('@google-ai/generativelanguage').v1beta;

  // Instantiates a client
  const generativelanguageClient = new ModelServiceClient();

  async function callCreateTunedModel() {
    // Construct request
    const request = {
      tunedModel,
    };

    // Run request
    const [operation] = await generativelanguageClient.createTunedModel(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callCreateTunedModel();

chunkPath(corpus, document, chunk)

chunkPath(corpus: string, document: string, chunk: string): string;

Return a fully-qualified chunk resource name string.

Parameters
Name	Description
`corpus`	`string`
`document`	`string`
`chunk`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

close()

close(): Promise<void>;

Terminate the gRPC channel and close the client.

The client will no longer be usable and all future behavior is undefined.

Returns
Type	Description
`Promise<void>`	{Promise} A promise that resolves when the client is closed.

corpusPath(corpus)

corpusPath(corpus: string): string;

Return a fully-qualified corpus resource name string.

Parameter
Name	Description
`corpus`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

corpusPermissionPath(corpus, permission)

corpusPermissionPath(corpus: string, permission: string): string;

Return a fully-qualified corpusPermission resource name string.

Parameters
Name	Description
`corpus`	`string`
`permission`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

createTunedModel(request, options)

createTunedModel(request?: protos.google.ai.generativelanguage.v1beta.ICreateTunedModelRequest, options?: CallOptions): Promise<[
        LROperation<protos.google.ai.generativelanguage.v1beta.ITunedModel, protos.google.ai.generativelanguage.v1beta.ICreateTunedModelMetadata>,
        protos.google.longrunning.IOperation | undefined,
        {} | undefined
    ]>;

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

Parameters
Name	Description
`request`	`ICreateTunedModelRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`Promise<[ LROperation<protos.google.ai.generativelanguage.v1beta.ITunedModel, protos.google.ai.generativelanguage.v1beta.ICreateTunedModelMetadata>, protos.google.longrunning.IOperation \| undefined, {} \| undefined ]>`	{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 documentation for more details and examples.

Example


  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  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])?.
   */
  // const tunedModelId = 'abc123'
  /**
   *  Required. The tuned model to create.
   */
  // const tunedModel = {}

  // Imports the Generativelanguage library
  const {ModelServiceClient} = require('@google-ai/generativelanguage').v1beta;

  // Instantiates a client
  const generativelanguageClient = new ModelServiceClient();

  async function callCreateTunedModel() {
    // Construct request
    const request = {
      tunedModel,
    };

    // Run request
    const [operation] = await generativelanguageClient.createTunedModel(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callCreateTunedModel();

createTunedModel(request, options, callback)

createTunedModel(request: protos.google.ai.generativelanguage.v1beta.ICreateTunedModelRequest, options: CallOptions, callback: Callback<LROperation<protos.google.ai.generativelanguage.v1beta.ITunedModel, protos.google.ai.generativelanguage.v1beta.ICreateTunedModelMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
`request`	`ICreateTunedModelRequest`
`options`	`CallOptions`
`callback`	`Callback<LROperation<protos.google.ai.generativelanguage.v1beta.ITunedModel, protos.google.ai.generativelanguage.v1beta.ICreateTunedModelMetadata>, protos.google.longrunning.IOperation \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

createTunedModel(request, callback)

createTunedModel(request: protos.google.ai.generativelanguage.v1beta.ICreateTunedModelRequest, callback: Callback<LROperation<protos.google.ai.generativelanguage.v1beta.ITunedModel, protos.google.ai.generativelanguage.v1beta.ICreateTunedModelMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
`request`	`ICreateTunedModelRequest`
`callback`	`Callback<LROperation<protos.google.ai.generativelanguage.v1beta.ITunedModel, protos.google.ai.generativelanguage.v1beta.ICreateTunedModelMetadata>, protos.google.longrunning.IOperation \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

deleteOperation(request, options, callback)

deleteOperation(request: protos.google.longrunning.DeleteOperationRequest, options?: 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>;

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.

Parameters
Name	Description
`request`	`DeleteOperationRequest` The request object that will be sent.
`options`	`CallOptions \| Callback<protos.google.protobuf.Empty, protos.google.longrunning.DeleteOperationRequest, {} \| null \| undefined>` Optional parameters. You can override the default settings for this call, e.g, timeout, retries, paginations, etc. See gax.CallOptions for the details.
`callback`	`Callback<protos.google.protobuf.Empty, protos.google.longrunning.DeleteOperationRequest, {} \| null \| undefined>` The function which will be called with the result of the API call. {Promise} - The promise which resolves when API call finishes. The promise has a method named "cancel" which cancels the ongoing API call.

Returns
Type	Description
`Promise<protos.google.protobuf.Empty>`

Example


const client = longrunning.operationsClient();
await client.deleteOperation({name: ''});

deleteTunedModel(request, options)

deleteTunedModel(request?: protos.google.ai.generativelanguage.v1beta.IDeleteTunedModelRequest, options?: CallOptions): Promise<[
        protos.google.protobuf.IEmpty,
        (protos.google.ai.generativelanguage.v1beta.IDeleteTunedModelRequest | undefined),
        {} | undefined
    ]>;

Deletes a tuned model.

Parameters
Name	Description
`request`	`IDeleteTunedModelRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`Promise<[ protos.google.protobuf.IEmpty, (protos.google.ai.generativelanguage.v1beta.IDeleteTunedModelRequest \| undefined), {} \| undefined ]>`	{Promise} - The promise which resolves to an array. The first element of the array is an object representing Empty. Please see the documentation for more details and examples.

Example


  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The resource name of the model.
   *  Format: `tunedModels/my-model-id`
   */
  // const name = 'abc123'

  // Imports the Generativelanguage library
  const {ModelServiceClient} = require('@google-ai/generativelanguage').v1beta;

  // Instantiates a client
  const generativelanguageClient = new ModelServiceClient();

  async function callDeleteTunedModel() {
    // Construct request
    const request = {
      name,
    };

    // Run request
    const response = await generativelanguageClient.deleteTunedModel(request);
    console.log(response);
  }

  callDeleteTunedModel();

deleteTunedModel(request, options, callback)

deleteTunedModel(request: protos.google.ai.generativelanguage.v1beta.IDeleteTunedModelRequest, options: CallOptions, callback: Callback<protos.google.protobuf.IEmpty, protos.google.ai.generativelanguage.v1beta.IDeleteTunedModelRequest | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
`request`	`IDeleteTunedModelRequest`
`options`	`CallOptions`
`callback`	`Callback<protos.google.protobuf.IEmpty, protos.google.ai.generativelanguage.v1beta.IDeleteTunedModelRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

deleteTunedModel(request, callback)

deleteTunedModel(request: protos.google.ai.generativelanguage.v1beta.IDeleteTunedModelRequest, callback: Callback<protos.google.protobuf.IEmpty, protos.google.ai.generativelanguage.v1beta.IDeleteTunedModelRequest | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
`request`	`IDeleteTunedModelRequest`
`callback`	`Callback<protos.google.protobuf.IEmpty, protos.google.ai.generativelanguage.v1beta.IDeleteTunedModelRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

documentPath(corpus, document)

documentPath(corpus: string, document: string): string;

Return a fully-qualified document resource name string.

Parameters
Name	Description
`corpus`	`string`
`document`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

filePath(file)

filePath(file: string): string;

Return a fully-qualified file resource name string.

Parameter
Name	Description
`file`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

getModel(request, options)

getModel(request?: protos.google.ai.generativelanguage.v1beta.IGetModelRequest, options?: CallOptions): Promise<[
        protos.google.ai.generativelanguage.v1beta.IModel,
        protos.google.ai.generativelanguage.v1beta.IGetModelRequest | undefined,
        {} | undefined
    ]>;

Gets information about a specific Model.

Parameters
Name	Description
`request`	`IGetModelRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`Promise<[ protos.google.ai.generativelanguage.v1beta.IModel, protos.google.ai.generativelanguage.v1beta.IGetModelRequest \| undefined, {} \| undefined ]>`	{Promise} - The promise which resolves to an array. The first element of the array is an object representing Model. Please see the documentation for more details and examples.

Example


  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The resource name of the model.
   *  This name should match a model name returned by the `ListModels` method.
   *  Format: `models/{model}`
   */
  // const name = 'abc123'

  // Imports the Generativelanguage library
  const {ModelServiceClient} = require('@google-ai/generativelanguage').v1beta;

  // Instantiates a client
  const generativelanguageClient = new ModelServiceClient();

  async function callGetModel() {
    // Construct request
    const request = {
      name,
    };

    // Run request
    const response = await generativelanguageClient.getModel(request);
    console.log(response);
  }

  callGetModel();

getModel(request, options, callback)

getModel(request: protos.google.ai.generativelanguage.v1beta.IGetModelRequest, options: CallOptions, callback: Callback<protos.google.ai.generativelanguage.v1beta.IModel, protos.google.ai.generativelanguage.v1beta.IGetModelRequest | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
`request`	`IGetModelRequest`
`options`	`CallOptions`
`callback`	`Callback<protos.google.ai.generativelanguage.v1beta.IModel, protos.google.ai.generativelanguage.v1beta.IGetModelRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

getModel(request, callback)

getModel(request: protos.google.ai.generativelanguage.v1beta.IGetModelRequest, callback: Callback<protos.google.ai.generativelanguage.v1beta.IModel, protos.google.ai.generativelanguage.v1beta.IGetModelRequest | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
`request`	`IGetModelRequest`
`callback`	`Callback<protos.google.ai.generativelanguage.v1beta.IModel, protos.google.ai.generativelanguage.v1beta.IGetModelRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

getOperation(request, options, callback)

getOperation(request: protos.google.longrunning.GetOperationRequest, options?: 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]>;

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.

Parameters
Name	Description
`request`	`GetOperationRequest` The request object that will be sent.
`options`	`CallOptions \| Callback<protos.google.longrunning.Operation, protos.google.longrunning.GetOperationRequest, {} \| null \| undefined>` Optional parameters. You can override the default settings for this call, e.g, timeout, retries, paginations, etc. See gax.CallOptions for the details.
`callback`	`Callback<protos.google.longrunning.Operation, protos.google.longrunning.GetOperationRequest, {} \| null \| undefined>` The function which will be called with the result of the API call. The second parameter to the callback is an object representing . {Promise} - The promise which resolves to an array. The first element of the array is an object representing . The promise has a method named "cancel" which cancels the ongoing API call.

Returns
Type	Description
`Promise<[protos.google.longrunning.Operation]>`

Example


const client = longrunning.operationsClient();
const name = '';
const [response] = await client.getOperation({name});
// doThingsWith(response)

getProjectId()

getProjectId(): Promise<string>;

Returns
Type	Description
`Promise<string>`

getProjectId(callback)

getProjectId(callback: Callback<string, undefined, undefined>): void;

Parameter
Name	Description
`callback`	`Callback<string, undefined, undefined>`

Returns
Type	Description
`void`

getTunedModel(request, options)

getTunedModel(request?: protos.google.ai.generativelanguage.v1beta.IGetTunedModelRequest, options?: CallOptions): Promise<[
        protos.google.ai.generativelanguage.v1beta.ITunedModel,
        (protos.google.ai.generativelanguage.v1beta.IGetTunedModelRequest | undefined),
        {} | undefined
    ]>;

Gets information about a specific TunedModel.

Parameters
Name	Description
`request`	`IGetTunedModelRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`Promise<[ protos.google.ai.generativelanguage.v1beta.ITunedModel, (protos.google.ai.generativelanguage.v1beta.IGetTunedModelRequest \| undefined), {} \| undefined ]>`	{Promise} - The promise which resolves to an array. The first element of the array is an object representing . Please see the documentation for more details and examples.

Example


  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The resource name of the model.
   *  Format: `tunedModels/my-model-id`
   */
  // const name = 'abc123'

  // Imports the Generativelanguage library
  const {ModelServiceClient} = require('@google-ai/generativelanguage').v1beta;

  // Instantiates a client
  const generativelanguageClient = new ModelServiceClient();

  async function callGetTunedModel() {
    // Construct request
    const request = {
      name,
    };

    // Run request
    const response = await generativelanguageClient.getTunedModel(request);
    console.log(response);
  }

  callGetTunedModel();

getTunedModel(request, options, callback)

getTunedModel(request: protos.google.ai.generativelanguage.v1beta.IGetTunedModelRequest, options: CallOptions, callback: Callback<protos.google.ai.generativelanguage.v1beta.ITunedModel, protos.google.ai.generativelanguage.v1beta.IGetTunedModelRequest | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
`request`	`IGetTunedModelRequest`
`options`	`CallOptions`
`callback`	`Callback<protos.google.ai.generativelanguage.v1beta.ITunedModel, protos.google.ai.generativelanguage.v1beta.IGetTunedModelRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

getTunedModel(request, callback)

getTunedModel(request: protos.google.ai.generativelanguage.v1beta.IGetTunedModelRequest, callback: Callback<protos.google.ai.generativelanguage.v1beta.ITunedModel, protos.google.ai.generativelanguage.v1beta.IGetTunedModelRequest | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
`request`	`IGetTunedModelRequest`
`callback`	`Callback<protos.google.ai.generativelanguage.v1beta.ITunedModel, protos.google.ai.generativelanguage.v1beta.IGetTunedModelRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

initialize()

initialize(): Promise<{
        [name: string]: Function;
    }>;

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
Type	Description
`Promise<{ [name: string]: Function; }>`	{Promise} A promise that resolves to an authenticated service stub.

listModels(request, options)

listModels(request?: protos.google.ai.generativelanguage.v1beta.IListModelsRequest, options?: CallOptions): Promise<[
        protos.google.ai.generativelanguage.v1beta.IModel[],
        protos.google.ai.generativelanguage.v1beta.IListModelsRequest | null,
        protos.google.ai.generativelanguage.v1beta.IListModelsResponse
    ]>;

Lists models available through the API.

Parameters
Name	Description
`request`	`IListModelsRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns

Type Description

Promise<[
        protos.google.ai.generativelanguage.v1beta.IModel[],
        protos.google.ai.generativelanguage.v1beta.IListModelsRequest | null,
        protos.google.ai.generativelanguage.v1beta.IListModelsResponse
    ]>

{Promise} - The promise which resolves to an array. The first element of the array is Array of 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 documentation for more details and examples.

listModels(request, options, callback)

listModels(request: protos.google.ai.generativelanguage.v1beta.IListModelsRequest, options: CallOptions, callback: PaginationCallback<protos.google.ai.generativelanguage.v1beta.IListModelsRequest, protos.google.ai.generativelanguage.v1beta.IListModelsResponse | null | undefined, protos.google.ai.generativelanguage.v1beta.IModel>): void;

Parameters
Name	Description
`request`	`IListModelsRequest`
`options`	`CallOptions`
`callback`	`PaginationCallback<protos.google.ai.generativelanguage.v1beta.IListModelsRequest, protos.google.ai.generativelanguage.v1beta.IListModelsResponse \| null \| undefined, protos.google.ai.generativelanguage.v1beta.IModel>`

Returns
Type	Description
`void`

listModels(request, callback)

listModels(request: protos.google.ai.generativelanguage.v1beta.IListModelsRequest, callback: PaginationCallback<protos.google.ai.generativelanguage.v1beta.IListModelsRequest, protos.google.ai.generativelanguage.v1beta.IListModelsResponse | null | undefined, protos.google.ai.generativelanguage.v1beta.IModel>): void;

Parameters
Name	Description
`request`	`IListModelsRequest`
`callback`	`PaginationCallback<protos.google.ai.generativelanguage.v1beta.IListModelsRequest, protos.google.ai.generativelanguage.v1beta.IListModelsResponse \| null \| undefined, protos.google.ai.generativelanguage.v1beta.IModel>`

Returns
Type	Description
`void`

listModelsAsync(request, options)

listModelsAsync(request?: protos.google.ai.generativelanguage.v1beta.IListModelsRequest, options?: CallOptions): AsyncIterable<protos.google.ai.generativelanguage.v1beta.IModel>;

Equivalent to listModels, but returns an iterable object.

for-await-of syntax is used with the iterable to get response elements on-demand.

Parameters
Name	Description
`request`	`IListModelsRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`AsyncIterable<protos.google.ai.generativelanguage.v1beta.IModel>`	{Object} An iterable Object that allows async iteration. When you iterate the returned iterable, each element will be an object representing 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 documentation for more details and examples.

Example


  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  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.
   */
  // const pageSize = 1234
  /**
   *  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.
   */
  // const pageToken = 'abc123'

  // Imports the Generativelanguage library
  const {ModelServiceClient} = require('@google-ai/generativelanguage').v1beta;

  // Instantiates a client
  const generativelanguageClient = new ModelServiceClient();

  async function callListModels() {
    // Construct request
    const request = {
    };

    // Run request
    const iterable = generativelanguageClient.listModelsAsync(request);
    for await (const response of iterable) {
        console.log(response);
    }
  }

  callListModels();

listModelsStream(request, options)

listModelsStream(request?: protos.google.ai.generativelanguage.v1beta.IListModelsRequest, options?: CallOptions): Transform;

Equivalent to method.name.toCamelCase(), but returns a NodeJS Stream object.

Parameters
Name	Description
`request`	`IListModelsRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`Transform`	{Stream} An object stream which emits an object representing 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 documentation for more details and examples.

listOperationsAsync(request, options)

listOperationsAsync(request: protos.google.longrunning.ListOperationsRequest, options?: gax.CallOptions): AsyncIterable<protos.google.longrunning.ListOperationsResponse>;

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.

Parameters
Name	Description
`request`	`ListOperationsRequest` The request object that will be sent.
`options`	`CallOptions` Optional parameters. You can override the default settings for this call, e.g, timeout, retries, paginations, etc. See gax.CallOptions for the details.

Returns
Type	Description
`AsyncIterable<protos.google.longrunning.ListOperationsResponse>`	{Object} An iterable Object that conforms to iteration protocols.

Example


const client = longrunning.operationsClient();
for await (const response of client.listOperationsAsync(request));
// doThingsWith(response)

listTunedModels(request, options)

listTunedModels(request?: protos.google.ai.generativelanguage.v1beta.IListTunedModelsRequest, options?: CallOptions): Promise<[
        protos.google.ai.generativelanguage.v1beta.ITunedModel[],
        protos.google.ai.generativelanguage.v1beta.IListTunedModelsRequest | null,
        protos.google.ai.generativelanguage.v1beta.IListTunedModelsResponse
    ]>;

Lists tuned models owned by the user.

Parameters
Name	Description
`request`	`IListTunedModelsRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns

Type Description

Promise<[
        protos.google.ai.generativelanguage.v1beta.ITunedModel[],
        protos.google.ai.generativelanguage.v1beta.IListTunedModelsRequest | null,
        protos.google.ai.generativelanguage.v1beta.IListTunedModelsResponse
    ]>

{Promise} - The promise which resolves to an array. The first element of the array is Array of . 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 documentation for more details and examples.

listTunedModels(request, options, callback)

listTunedModels(request: protos.google.ai.generativelanguage.v1beta.IListTunedModelsRequest, options: CallOptions, callback: PaginationCallback<protos.google.ai.generativelanguage.v1beta.IListTunedModelsRequest, protos.google.ai.generativelanguage.v1beta.IListTunedModelsResponse | null | undefined, protos.google.ai.generativelanguage.v1beta.ITunedModel>): void;

Parameters
Name	Description
`request`	`IListTunedModelsRequest`
`options`	`CallOptions`
`callback`	`PaginationCallback<protos.google.ai.generativelanguage.v1beta.IListTunedModelsRequest, protos.google.ai.generativelanguage.v1beta.IListTunedModelsResponse \| null \| undefined, protos.google.ai.generativelanguage.v1beta.ITunedModel>`

Returns
Type	Description
`void`

listTunedModels(request, callback)

listTunedModels(request: protos.google.ai.generativelanguage.v1beta.IListTunedModelsRequest, callback: PaginationCallback<protos.google.ai.generativelanguage.v1beta.IListTunedModelsRequest, protos.google.ai.generativelanguage.v1beta.IListTunedModelsResponse | null | undefined, protos.google.ai.generativelanguage.v1beta.ITunedModel>): void;

Parameters
Name	Description
`request`	`IListTunedModelsRequest`
`callback`	`PaginationCallback<protos.google.ai.generativelanguage.v1beta.IListTunedModelsRequest, protos.google.ai.generativelanguage.v1beta.IListTunedModelsResponse \| null \| undefined, protos.google.ai.generativelanguage.v1beta.ITunedModel>`

Returns
Type	Description
`void`

listTunedModelsAsync(request, options)

listTunedModelsAsync(request?: protos.google.ai.generativelanguage.v1beta.IListTunedModelsRequest, options?: CallOptions): AsyncIterable<protos.google.ai.generativelanguage.v1beta.ITunedModel>;

Equivalent to listTunedModels, but returns an iterable object.

for-await-of syntax is used with the iterable to get response elements on-demand.

Parameters
Name	Description
`request`	`IListTunedModelsRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`AsyncIterable<protos.google.ai.generativelanguage.v1beta.ITunedModel>`	{Object} An iterable Object that allows async iteration. When you iterate the returned iterable, each element will be an object representing . 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 documentation for more details and examples.

Example


  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  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.
   */
  // const pageSize = 1234
  /**
   *  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.
   */
  // const pageToken = 'abc123'
  /**
   *  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
   */
  // const filter = 'abc123'

  // Imports the Generativelanguage library
  const {ModelServiceClient} = require('@google-ai/generativelanguage').v1beta;

  // Instantiates a client
  const generativelanguageClient = new ModelServiceClient();

  async function callListTunedModels() {
    // Construct request
    const request = {
    };

    // Run request
    const iterable = generativelanguageClient.listTunedModelsAsync(request);
    for await (const response of iterable) {
        console.log(response);
    }
  }

  callListTunedModels();

listTunedModelsStream(request, options)

listTunedModelsStream(request?: protos.google.ai.generativelanguage.v1beta.IListTunedModelsRequest, options?: CallOptions): Transform;

Equivalent to method.name.toCamelCase(), but returns a NodeJS Stream object.

Parameters
Name	Description
`request`	`IListTunedModelsRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`Transform`	{Stream} An object stream which emits an object representing 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 documentation for more details and examples.

matchChunkFromChunkName(chunkName)

matchChunkFromChunkName(chunkName: string): string | number;

Parse the chunk from Chunk resource.

Parameter
Name	Description
`chunkName`	`string` A fully-qualified path representing Chunk resource.

Returns
Type	Description
`string \| number`	{string} A string representing the chunk.

matchCorpusFromChunkName(chunkName)

matchCorpusFromChunkName(chunkName: string): string | number;

Parse the corpus from Chunk resource.

Parameter
Name	Description
`chunkName`	`string` A fully-qualified path representing Chunk resource.

Returns
Type	Description
`string \| number`	{string} A string representing the corpus.

matchCorpusFromCorpusName(corpusName)

matchCorpusFromCorpusName(corpusName: string): string | number;

Parse the corpus from Corpus resource.

Parameter
Name	Description
`corpusName`	`string` A fully-qualified path representing Corpus resource.

Returns
Type	Description
`string \| number`	{string} A string representing the corpus.

matchCorpusFromCorpusPermissionName(corpusPermissionName)

matchCorpusFromCorpusPermissionName(corpusPermissionName: string): string | number;

Parse the corpus from CorpusPermission resource.

Parameter
Name	Description
`corpusPermissionName`	`string` A fully-qualified path representing corpus_permission resource.

Returns
Type	Description
`string \| number`	{string} A string representing the corpus.

matchCorpusFromDocumentName(documentName)

matchCorpusFromDocumentName(documentName: string): string | number;

Parse the corpus from Document resource.

Parameter
Name	Description
`documentName`	`string` A fully-qualified path representing Document resource.

Returns
Type	Description
`string \| number`	{string} A string representing the corpus.

matchDocumentFromChunkName(chunkName)

matchDocumentFromChunkName(chunkName: string): string | number;

Parse the document from Chunk resource.

Parameter
Name	Description
`chunkName`	`string` A fully-qualified path representing Chunk resource.

Returns
Type	Description
`string \| number`	{string} A string representing the document.

matchDocumentFromDocumentName(documentName)

matchDocumentFromDocumentName(documentName: string): string | number;

Parse the document from Document resource.

Parameter
Name	Description
`documentName`	`string` A fully-qualified path representing Document resource.

Returns
Type	Description
`string \| number`	{string} A string representing the document.

matchFileFromFileName(fileName)

matchFileFromFileName(fileName: string): string | number;

Parse the file from File resource.

Parameter
Name	Description
`fileName`	`string` A fully-qualified path representing File resource.

Returns
Type	Description
`string \| number`	{string} A string representing the file.

matchModelFromModelName(modelName)

matchModelFromModelName(modelName: string): string | number;

Parse the model from Model resource.

Parameter
Name	Description
`modelName`	`string` A fully-qualified path representing Model resource.

Returns
Type	Description
`string \| number`	{string} A string representing the model.

matchPermissionFromCorpusPermissionName(corpusPermissionName)

matchPermissionFromCorpusPermissionName(corpusPermissionName: string): string | number;

Parse the permission from CorpusPermission resource.

Parameter
Name	Description
`corpusPermissionName`	`string` A fully-qualified path representing corpus_permission resource.

Returns
Type	Description
`string \| number`	{string} A string representing the permission.

matchPermissionFromTunedModelPermissionName(tunedModelPermissionName)

matchPermissionFromTunedModelPermissionName(tunedModelPermissionName: string): string | number;

Parse the permission from TunedModelPermission resource.

Parameter
Name	Description
`tunedModelPermissionName`	`string` A fully-qualified path representing tuned_model_permission resource.

Returns
Type	Description
`string \| number`	{string} A string representing the permission.

matchTunedModelFromTunedModelName(tunedModelName)

matchTunedModelFromTunedModelName(tunedModelName: string): string | number;

Parse the tuned_model from TunedModel resource.

Parameter
Name	Description
`tunedModelName`	`string` A fully-qualified path representing TunedModel resource.

Returns
Type	Description
`string \| number`	{string} A string representing the tuned_model.

matchTunedModelFromTunedModelPermissionName(tunedModelPermissionName)

matchTunedModelFromTunedModelPermissionName(tunedModelPermissionName: string): string | number;

Parse the tuned_model from TunedModelPermission resource.

Parameter
Name	Description
`tunedModelPermissionName`	`string` A fully-qualified path representing tuned_model_permission resource.

Returns
Type	Description
`string \| number`	{string} A string representing the tuned_model.

modelPath(model)

modelPath(model: string): string;

Return a fully-qualified model resource name string.

Parameter
Name	Description
`model`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

tunedModelPath(tunedModel)

tunedModelPath(tunedModel: string): string;

Return a fully-qualified tunedModel resource name string.

Parameter
Name	Description
`tunedModel`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

tunedModelPermissionPath(tunedModel, permission)

tunedModelPermissionPath(tunedModel: string, permission: string): string;

Return a fully-qualified tunedModelPermission resource name string.

Parameters
Name	Description
`tunedModel`	`string`
`permission`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

updateTunedModel(request, options)

updateTunedModel(request?: protos.google.ai.generativelanguage.v1beta.IUpdateTunedModelRequest, options?: CallOptions): Promise<[
        protos.google.ai.generativelanguage.v1beta.ITunedModel,
        (protos.google.ai.generativelanguage.v1beta.IUpdateTunedModelRequest | undefined),
        {} | undefined
    ]>;

Updates a tuned model.

Parameters
Name	Description
`request`	`IUpdateTunedModelRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`Promise<[ protos.google.ai.generativelanguage.v1beta.ITunedModel, (protos.google.ai.generativelanguage.v1beta.IUpdateTunedModelRequest \| undefined), {} \| undefined ]>`	{Promise} - The promise which resolves to an array. The first element of the array is an object representing . Please see the documentation for more details and examples.

Example


  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The tuned model to update.
   */
  // const tunedModel = {}
  /**
   *  Required. The list of fields to update.
   */
  // const updateMask = {}

  // Imports the Generativelanguage library
  const {ModelServiceClient} = require('@google-ai/generativelanguage').v1beta;

  // Instantiates a client
  const generativelanguageClient = new ModelServiceClient();

  async function callUpdateTunedModel() {
    // Construct request
    const request = {
      tunedModel,
      updateMask,
    };

    // Run request
    const response = await generativelanguageClient.updateTunedModel(request);
    console.log(response);
  }

  callUpdateTunedModel();

updateTunedModel(request, options, callback)

updateTunedModel(request: protos.google.ai.generativelanguage.v1beta.IUpdateTunedModelRequest, options: CallOptions, callback: Callback<protos.google.ai.generativelanguage.v1beta.ITunedModel, protos.google.ai.generativelanguage.v1beta.IUpdateTunedModelRequest | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
`request`	`IUpdateTunedModelRequest`
`options`	`CallOptions`
`callback`	`Callback<protos.google.ai.generativelanguage.v1beta.ITunedModel, protos.google.ai.generativelanguage.v1beta.IUpdateTunedModelRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

updateTunedModel(request, callback)

updateTunedModel(request: protos.google.ai.generativelanguage.v1beta.IUpdateTunedModelRequest, callback: Callback<protos.google.ai.generativelanguage.v1beta.ITunedModel, protos.google.ai.generativelanguage.v1beta.IUpdateTunedModelRequest | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
`request`	`IUpdateTunedModelRequest`
`callback`	`Callback<protos.google.ai.generativelanguage.v1beta.ITunedModel, protos.google.ai.generativelanguage.v1beta.IUpdateTunedModelRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`