Class v1beta.CacheServiceClient (2.6.0)

API for managing cache of content (CachedContent resources) that can be used in GenerativeService requests. This way generate content requests can benefit from preprocessing work being done earlier, possibly lowering their computational cost. It is intended to be used with large contexts. v1beta

Package

@google-ai/generativelanguage

Constructors

(constructor)(opts, gaxInstance)

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

Construct an instance of CacheServiceClient.

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 CacheServiceClient({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;

cacheServiceStub

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

descriptors

descriptors: Descriptors;

innerApiCalls

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

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

cachedContentPath(id)

cachedContentPath(id: string): string;

Return a fully-qualified cachedContent resource name string.

Parameter
Name	Description
`id`	`string`

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

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.

createCachedContent(request, options)

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

Creates CachedContent resource.

Parameters
Name	Description
`request`	`ICreateCachedContentRequest` 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.ICachedContent, (protos.google.ai.generativelanguage.v1beta.ICreateCachedContentRequest \| 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 cached content to create.
   */
  // const cachedContent = {}

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

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

  async function callCreateCachedContent() {
    // Construct request
    const request = {
      cachedContent,
    };

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

  callCreateCachedContent();

createCachedContent(request, options, callback)

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

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

Returns
Type	Description
`void`

createCachedContent(request, callback)

createCachedContent(request: protos.google.ai.generativelanguage.v1beta.ICreateCachedContentRequest, callback: Callback<protos.google.ai.generativelanguage.v1beta.ICachedContent, protos.google.ai.generativelanguage.v1beta.ICreateCachedContentRequest | null | undefined, {} | null | undefined>): void;

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

Returns
Type	Description
`void`

deleteCachedContent(request, options)

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

Deletes CachedContent resource.

Parameters
Name	Description
`request`	`IDeleteCachedContentRequest` 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.IDeleteCachedContentRequest \| 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 referring to the content cache entry
   *  Format: `cachedContents/{id}`
   */
  // const name = 'abc123'

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

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

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

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

  callDeleteCachedContent();

deleteCachedContent(request, options, callback)

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

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

Returns
Type	Description
`void`

deleteCachedContent(request, callback)

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

Parameters
Name	Description
`request`	`IDeleteCachedContentRequest`
`callback`	`Callback<protos.google.protobuf.IEmpty, protos.google.ai.generativelanguage.v1beta.IDeleteCachedContentRequest \| 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.

getCachedContent(request, options)

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

Reads CachedContent resource.

Parameters
Name	Description
`request`	`IGetCachedContentRequest` 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.ICachedContent, (protos.google.ai.generativelanguage.v1beta.IGetCachedContentRequest \| 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 referring to the content cache entry.
   *  Format: `cachedContents/{id}`
   */
  // const name = 'abc123'

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

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

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

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

  callGetCachedContent();

getCachedContent(request, options, callback)

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

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

Returns
Type	Description
`void`

getCachedContent(request, callback)

getCachedContent(request: protos.google.ai.generativelanguage.v1beta.IGetCachedContentRequest, callback: Callback<protos.google.ai.generativelanguage.v1beta.ICachedContent, protos.google.ai.generativelanguage.v1beta.IGetCachedContentRequest | null | undefined, {} | null | undefined>): void;

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

Returns
Type	Description
`void`

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`

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.

listCachedContents(request, options)

listCachedContents(request?: protos.google.ai.generativelanguage.v1beta.IListCachedContentsRequest, options?: CallOptions): Promise<[
        protos.google.ai.generativelanguage.v1beta.ICachedContent[],
        protos.google.ai.generativelanguage.v1beta.IListCachedContentsRequest | null,
        protos.google.ai.generativelanguage.v1beta.IListCachedContentsResponse
    ]>;

Lists CachedContents.

Parameters
Name	Description
`request`	`IListCachedContentsRequest` 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.ICachedContent[],
protos.google.ai.generativelanguage.v1beta.IListCachedContentsRequest | null,
protos.google.ai.generativelanguage.v1beta.IListCachedContentsResponse
]>

{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 listCachedContentsAsync() method described below for async iteration which you can stop as needed. Please see the documentation for more details and examples.

listCachedContents(request, options, callback)

listCachedContents(request: protos.google.ai.generativelanguage.v1beta.IListCachedContentsRequest, options: CallOptions, callback: PaginationCallback<protos.google.ai.generativelanguage.v1beta.IListCachedContentsRequest, protos.google.ai.generativelanguage.v1beta.IListCachedContentsResponse | null | undefined, protos.google.ai.generativelanguage.v1beta.ICachedContent>): void;

Parameters
Name	Description
`request`	`IListCachedContentsRequest`
`options`	`CallOptions`
`callback`	`PaginationCallback<protos.google.ai.generativelanguage.v1beta.IListCachedContentsRequest, protos.google.ai.generativelanguage.v1beta.IListCachedContentsResponse \| null \| undefined, protos.google.ai.generativelanguage.v1beta.ICachedContent>`

Returns
Type	Description
`void`

listCachedContents(request, callback)

listCachedContents(request: protos.google.ai.generativelanguage.v1beta.IListCachedContentsRequest, callback: PaginationCallback<protos.google.ai.generativelanguage.v1beta.IListCachedContentsRequest, protos.google.ai.generativelanguage.v1beta.IListCachedContentsResponse | null | undefined, protos.google.ai.generativelanguage.v1beta.ICachedContent>): void;

Parameters
Name	Description
`request`	`IListCachedContentsRequest`
`callback`	`PaginationCallback<protos.google.ai.generativelanguage.v1beta.IListCachedContentsRequest, protos.google.ai.generativelanguage.v1beta.IListCachedContentsResponse \| null \| undefined, protos.google.ai.generativelanguage.v1beta.ICachedContent>`

Returns
Type	Description
`void`

listCachedContentsAsync(request, options)

listCachedContentsAsync(request?: protos.google.ai.generativelanguage.v1beta.IListCachedContentsRequest, options?: CallOptions): AsyncIterable<protos.google.ai.generativelanguage.v1beta.ICachedContent>;

Equivalent to listCachedContents, but returns an iterable object.

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

Parameters
Name	Description
`request`	`IListCachedContentsRequest` 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.ICachedContent>`	{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 cached contents to return. The service may
   *  return fewer than this value. If unspecified, some default (under maximum)
   *  number of items will be returned. The maximum value is 1000; values above
   *  1000 will be coerced to 1000.
   */
  // const pageSize = 1234
  /**
   *  Optional. A page token, received from a previous `ListCachedContents` call.
   *  Provide this to retrieve the subsequent page.
   *  When paginating, all other parameters provided to `ListCachedContents` must
   *  match the call that provided the page token.
   */
  // const pageToken = 'abc123'

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

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

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

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

  callListCachedContents();

listCachedContentsStream(request, options)

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

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

Parameters
Name	Description
`request`	`IListCachedContentsRequest` 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 `listCachedContentsAsync()` 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.

matchIdFromCachedContentName(cachedContentName)

matchIdFromCachedContentName(cachedContentName: string): string | number;

Parse the id from CachedContent resource.

Parameter
Name	Description
`cachedContentName`	`string` A fully-qualified path representing CachedContent resource.

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

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.

updateCachedContent(request, options)

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

Updates CachedContent resource (only expiration is updatable).

Parameters
Name	Description
`request`	`IUpdateCachedContentRequest` 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.ICachedContent, (protos.google.ai.generativelanguage.v1beta.IUpdateCachedContentRequest \| 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 content cache entry to update
   */
  // const cachedContent = {}
  /**
   *  The list of fields to update.
   */
  // const updateMask = {}

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

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

  async function callUpdateCachedContent() {
    // Construct request
    const request = {
      cachedContent,
    };

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

  callUpdateCachedContent();

updateCachedContent(request, options, callback)

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

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

Returns
Type	Description
`void`

updateCachedContent(request, callback)

updateCachedContent(request: protos.google.ai.generativelanguage.v1beta.IUpdateCachedContentRequest, callback: Callback<protos.google.ai.generativelanguage.v1beta.ICachedContent, protos.google.ai.generativelanguage.v1beta.IUpdateCachedContentRequest | null | undefined, {} | null | undefined>): void;

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

Returns
Type	Description
`void`