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    REST Resource: projects.locations.cachedContents

    Resource: CachedContent

    A resource used in LLM queries for users to explicitly specify what to cache and how to cache.

    Fields
    name string

    Immutable. Identifier. The server-generated resource name of the cached content Format: projects/{project}/locations/{location}/cachedContents/{cachedContent}

    displayName string

    Optional. Immutable. The user-generated meaningful display name of the cached content.

    model string

    Immutable. The name of the Model to use for cached content. Currently, only the published Gemini base models are supported, in form of projects/{PROJECT}/locations/{LOCATION}/publishers/google/models/{MODEL}

    systemInstruction object ( Content )

    Optional. Input only. Immutable. Developer set system instruction. Currently, text only

    contents[] object ( Content )

    Optional. Input only. Immutable. The content to cache

    tools[] object ( Tool )

    Optional. Input only. Immutable. A list of Tools the model may use to generate the next response

    toolConfig object ( ToolConfig )

    Optional. Input only. Immutable. Tool config. This config is shared for all tools

    createTime string ( Timestamp format)

    Output only. Creation time of the cache entry.

    Uses RFC 3339, where generated output will always be Z-normalized and use 0, 3, 6 or 9 fractional digits. Offsets other than "Z" are also accepted. Examples: "2014-10-02T15:01:23Z" , "2014-10-02T15:01:23.045123456Z" or "2014-10-02T15:01:23+05:30" .

    updateTime string ( Timestamp format)

    Output only. When the cache entry was last updated in UTC time.

    Uses RFC 3339, where generated output will always be Z-normalized and use 0, 3, 6 or 9 fractional digits. Offsets other than "Z" are also accepted. Examples: "2014-10-02T15:01:23Z" , "2014-10-02T15:01:23.045123456Z" or "2014-10-02T15:01:23+05:30" .

    usageMetadata object ( UsageMetadata )

    Output only. metadata on the usage of the cached content.

    encryptionSpec object ( EncryptionSpec )

    Input only. Immutable. Customer-managed encryption key spec for a CachedContent . If set, this CachedContent and all its sub-resources will be secured by this key.

    expiration Union type
    Expiration time of the cached content. expiration can be only one of the following:
    expireTime string ( Timestamp format)

    timestamp of when this resource is considered expired. This is always provided on output, regardless of what was sent on input.

    Uses RFC 3339, where generated output will always be Z-normalized and use 0, 3, 6 or 9 fractional digits. Offsets other than "Z" are also accepted. Examples: "2014-10-02T15:01:23Z" , "2014-10-02T15:01:23.045123456Z" or "2014-10-02T15:01:23+05:30" .

    ttl string ( Duration format)

    Input only. The TTL for this resource. The expiration time is computed: now + TTL.

    A duration in seconds with up to nine fractional digits, ending with ' s '. Example: "3.5s" .

    JSON representation 
     { 
 "name" 
 : 
 string 
 , 
 "displayName" 
 : 
 string 
 , 
 "model" 
 : 
 string 
 , 
 "systemInstruction" 
 : 
 { 
 object (  Content 
 
) 
 } 
 , 
 "contents" 
 : 
 [ 
 { 
 object (  Content 
 
) 
 } 
 ] 
 , 
 "tools" 
 : 
 [ 
 { 
 object (  Tool 
 
) 
 } 
 ] 
 , 
 "toolConfig" 
 : 
 { 
 object (  ToolConfig 
 
) 
 } 
 , 
 "createTime" 
 : 
 string 
 , 
 "updateTime" 
 : 
 string 
 , 
 "usageMetadata" 
 : 
 { 
 object (  UsageMetadata 
 
) 
 } 
 , 
 "encryptionSpec" 
 : 
 { 
 object (  EncryptionSpec 
 
) 
 } 
 , 
 // expiration 
 "expireTime" 
 : 
 string 
 , 
 "ttl" 
 : 
 string 
 // Union type 
 }

    Tool

    Tool details that the model may use to generate response.

    A Tool is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).

    Fields
    functionDeclarations[] object ( FunctionDeclaration )

    Optional. Function tool type. One or more function declarations to be passed to the model along with the current user query. Model may decide to call a subset of these functions by populating FunctionCall in the response. user should provide a FunctionResponse for each function call in the next turn. Based on the function responses, Model will generate the final response back to the user. Maximum 512 function declarations can be provided.

    retrieval object ( Retrieval )

    Optional. Retrieval tool type. System will always execute the provided retrieval tool(s) to get external knowledge to answer the prompt. Retrieval results are presented to the model for generation.

    googleSearchRetrieval
    (deprecated)     object ( GoogleSearchRetrieval )

    Optional. Specialized retrieval tool that is powered by Google Search.

    googleMaps object ( GoogleMaps )

    Optional. GoogleMaps tool type. Tool to support Google Maps in Model.

    codeExecution object ( CodeExecution )

    Optional. CodeExecution tool type. Enables the model to execute code as part of generation.

    urlContext object ( UrlContext )

    Optional. Tool to support URL context retrieval.

    JSON representation 
     { 
 "functionDeclarations" 
 : 
 [ 
 { 
 object (  FunctionDeclaration 
 
) 
 } 
 ] 
 , 
 "retrieval" 
 : 
 { 
 object (  Retrieval 
 
) 
 } 
 , 
 "googleSearch" 
 : 
 { 
 object (  GoogleSearch 
 
) 
 } 
 , 
 "googleSearchRetrieval" 
 : 
 { 
 object (  GoogleSearchRetrieval 
 
) 
 } 
 , 
 "googleMaps" 
 : 
 { 
 object (  GoogleMaps 
 
) 
 } 
 , 
 "enterpriseWebSearch" 
 : 
 { 
 object (  EnterpriseWebSearch 
 
) 
 } 
 , 
 "codeExecution" 
 : 
 { 
 object (  CodeExecution 
 
) 
 } 
 , 
 "urlContext" 
 : 
 { 
 object (  UrlContext 
 
) 
 } 
 }

    FunctionDeclaration

    Structured representation of a function declaration as defined by the OpenAPI 3.0 specification . Included in this declaration are the function name, description, parameters and response type. This FunctionDeclaration is a representation of a block of code that can be used as a Tool by the model and executed by the client.

    Fields
    name string

    Required. The name of the function to call. Must start with a letter or an underscore. Must be a-z, A-Z, 0-9, or contain underscores, dots and dashes, with a maximum length of 64.

    description string

    Optional. description and purpose of the function. Model uses it to decide how and whether to call the function.

    parameters object ( Schema )

    Optional. Describes the parameters to this function in JSON Schema Object format. Reflects the Open API 3.03 Parameter Object. string Key: the name of the parameter. Parameter names are case sensitive. Schema value: the Schema defining the type used for the parameter. For function with no parameters, this can be left unset. Parameter names must start with a letter or an underscore and must only contain chars a-z, A-Z, 0-9, or underscores with a maximum length of 64. Example with 1 required and 1 optional parameter: type: OBJECT properties: param1: type: STRING param2: type: INTEGER required: - param1

    parametersJsonSchema value ( Value format)

    Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example:

     {
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "age": { "type": "integer" }
  },
  "additionalProperties": false,
  "required": ["name", "age"],
  "propertyOrdering": ["name", "age"]
}

    This field is mutually exclusive with parameters .

    response object ( Schema )

    Optional. Describes the output from this function in JSON Schema format. Reflects the Open API 3.03 Response Object. The Schema defines the type used for the response value of the function.

    responseJsonSchema value ( Value format)

    Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function.

    This field is mutually exclusive with response .

    JSON representation 
     { 
 "name" 
 : 
 string 
 , 
 "description" 
 : 
 string 
 , 
 "parameters" 
 : 
 { 
 object (  Schema 
 
) 
 } 
 , 
 "parametersJsonSchema" 
 : 
 value 
 , 
 "response" 
 : 
 { 
 object (  Schema 
 
) 
 } 
 , 
 "responseJsonSchema" 
 : 
 value 
 }

    Schema

    Schema is used to define the format of input/output data. Represents a select subset of an OpenAPI 3.0 schema object . More fields may be added in the future as needed.

    Fields
    type enum ( Type )

    Optional. The type of the data.

    format string

    Optional. The format of the data. Supported formats: for NUMBER type: "float", "double" for INTEGER type: "int32", "int64" for STRING type: "email", "byte", etc

    title string

    Optional. The title of the Schema.

    description string

    Optional. The description of the data.

    nullable boolean

    Optional. Indicates if the value may be null.

    default value ( Value format)

    Optional. Default value of the data.

    items object ( Schema )

    Optional. SCHEMA FIELDS FOR TYPE ARRAY Schema of the elements of type.ARRAY.

    minItems string ( int64 format)

    Optional. Minimum number of the elements for type.ARRAY.

    maxItems string ( int64 format)

    Optional. Maximum number of the elements for type.ARRAY.

    enum[] string

    Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]}

    properties map (key: string, value: object ( Schema ))

    Optional. SCHEMA FIELDS FOR TYPE OBJECT Properties of type.OBJECT.

    propertyOrdering[] string

    Optional. The order of the properties. Not a standard field in open api spec. Only used to support the order of the properties.

    required[] string

    Optional. Required properties of type.OBJECT.

    minProperties string ( int64 format)

    Optional. Minimum number of the properties for type.OBJECT.

    maxProperties string ( int64 format)

    Optional. Maximum number of the properties for type.OBJECT.

    minimum number

    Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the type.INTEGER and type.NUMBER

    maximum number

    Optional. Maximum value of the type.INTEGER and type.NUMBER

    minLength string ( int64 format)

    Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the type.STRING

    maxLength string ( int64 format)

    Optional. Maximum length of the type.STRING

    pattern string

    Optional. Pattern of the type.STRING to restrict a string to a regular expression.

    example value ( Value format)

    Optional. Example of the object. Will only populated when the object is the root.

    anyOf[] object ( Schema )

    Optional. The value should be validated against any (one or more) of the subschemas in the list.

    additionalProperties value ( Value format)

    Optional. Can either be a boolean or an object; controls the presence of additional properties.

    ref string

    Optional. Allows indirect references between schema nodes. The value should be a valid reference to a child of the root defs .

    For example, the following schema defines a reference to a schema node named "Pet":

    type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string

    The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring

    defs map (key: string, value: object ( Schema ))

    Optional. A map of definitions for use by ref Only allowed at the root of the schema.

    JSON representation 
     { 
 "type" 
 : 
 enum (  Type 
 
) 
 , 
 "format" 
 : 
 string 
 , 
 "title" 
 : 
 string 
 , 
 "description" 
 : 
 string 
 , 
 "nullable" 
 : 
 boolean 
 , 
 "default" 
 : 
 value 
 , 
 "items" 
 : 
 { 
 object (  Schema 
 
) 
 } 
 , 
 "minItems" 
 : 
 string 
 , 
 "maxItems" 
 : 
 string 
 , 
 "enum" 
 : 
 [ 
 string 
 ] 
 , 
 "properties" 
 : 
 { 
 string 
 : 
 { 
 object (  Schema 
 
) 
 } 
 , 
 ... 
 } 
 , 
 "propertyOrdering" 
 : 
 [ 
 string 
 ] 
 , 
 "required" 
 : 
 [ 
 string 
 ] 
 , 
 "minProperties" 
 : 
 string 
 , 
 "maxProperties" 
 : 
 string 
 , 
 "minimum" 
 : 
 number 
 , 
 "maximum" 
 : 
 number 
 , 
 "minLength" 
 : 
 string 
 , 
 "maxLength" 
 : 
 string 
 , 
 "pattern" 
 : 
 string 
 , 
 "example" 
 : 
 value 
 , 
 "anyOf" 
 : 
 [ 
 { 
 object (  Schema 
 
) 
 } 
 ] 
 , 
 "additionalProperties" 
 : 
 value 
 , 
 "ref" 
 : 
 string 
 , 
 "defs" 
 : 
 { 
 string 
 : 
 { 
 object (  Schema 
 
) 
 } 
 , 
 ... 
 } 
 }

    Type

    type contains the list of OpenAPI data types as defined by https://swagger.io/docs/specification/data-models/data-types/

    Enums
    TYPE_UNSPECIFIED Not specified, should not be used.
    STRING OpenAPI string type
    NUMBER OpenAPI number type
    INTEGER OpenAPI integer type
    BOOLEAN OpenAPI boolean type
    ARRAY OpenAPI array type
    OBJECT OpenAPI object type
    NULL Null type

    Retrieval

    Defines a retrieval tool that model can call to access external knowledge.

    Fields
    disableAttribution
    (deprecated)     boolean

    Optional. Deprecated. This option is no longer supported.

    source Union type
    The source of the retrieval. source can be only one of the following:
    vertexRagStore object ( VertexRagStore )

    Set to use data source powered by Vertex RAG store. user data is uploaded via the VertexRagDataService.

    JSON representation 
     { 
 "disableAttribution" 
 : 
 boolean 
 , 
 // source 
 "vertexAiSearch" 
 : 
 { 
 object (  VertexAISearch 
 
) 
 } 
 , 
 "vertexRagStore" 
 : 
 { 
 object (  VertexRagStore 
 
) 
 } 
 // Union type 
 }

    VertexAISearch

    Retrieve from Vertex AI Search datastore or engine for grounding. datastore and engine are mutually exclusive. See https://cloud.google.com/products/agent-builder

    Fields
    datastore string

    Optional. Fully-qualified Vertex AI Search data store resource id. Format: projects/{project}/locations/{location}/collections/{collection}/dataStores/{dataStore}

    engine string

    Optional. Fully-qualified Vertex AI Search engine resource id. Format: projects/{project}/locations/{location}/collections/{collection}/engines/{engine}

    maxResults integer

    Optional. Number of search results to return per query. The default value is 10. The maximumm allowed value is 10.

    filter string

    Optional. Filter strings to be passed to the search API.

    dataStoreSpecs[] object ( DataStoreSpec )

    Specifications that define the specific DataStores to be searched, along with configurations for those data stores. This is only considered for Engines with multiple data stores. It should only be set if engine is used.

    JSON representation 
     { 
 "datastore" 
 : 
 string 
 , 
 "engine" 
 : 
 string 
 , 
 "maxResults" 
 : 
 integer 
 , 
 "filter" 
 : 
 string 
 , 
 "dataStoreSpecs" 
 : 
 [ 
 { 
 object (  DataStoreSpec 
 
) 
 } 
 ] 
 }

    DataStoreSpec

    Define data stores within engine to filter on in a search call and configurations for those data stores. For more information, see https://cloud.google.com/generative-ai-app-builder/docs/reference/rpc/google.cloud.discoveryengine.v1#datastorespec

    Fields
    dataStore string

    Full resource name of DataStore, such as Format: projects/{project}/locations/{location}/collections/{collection}/dataStores/{dataStore}

    filter string

    Optional. Filter specification to filter documents in the data store specified by dataStore field. For more information on filtering, see Filtering

    JSON representation 
     { 
 "dataStore" 
 : 
 string 
 , 
 "filter" 
 : 
 string 
 }

    VertexRagStore

    Retrieve from Vertex RAG Store for grounding.

    Fields
    ragResources[] object ( RagResource )

    Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support.

    ragRetrievalConfig object ( RagRetrievalConfig )

    Optional. The retrieval config for the Rag query.

    similarityTopK
    (deprecated)     integer

    Optional. Number of top k results to return from the selected corpora.

    vectorDistanceThreshold
    (deprecated)     number

    Optional. Only return results with vector distance smaller than the threshold.

    JSON representation 
     { 
 "ragResources" 
 : 
 [ 
 { 
 object (  RagResource 
 
) 
 } 
 ] 
 , 
 "ragRetrievalConfig" 
 : 
 { 
 object (  RagRetrievalConfig 
 
) 
 } 
 , 
 "similarityTopK" 
 : 
 integer 
 , 
 "vectorDistanceThreshold" 
 : 
 number 
 }

    RagResource

    The definition of the Rag resource.

    Fields
    ragCorpus string

    Optional. RagCorpora resource name. Format: projects/{project}/locations/{location}/ragCorpora/{ragCorpus}

    ragFileIds[] string

    Optional. ragFileId. The files should be in the same ragCorpus set in ragCorpus field.

    JSON representation 
     { 
 "ragCorpus" 
 : 
 string 
 , 
 "ragFileIds" 
 : 
 [ 
 string 
 ] 
 }

    RagRetrievalConfig

    Specifies the context retrieval config.

    Fields
    topK integer

    Optional. The number of contexts to retrieve.

    filter object ( Filter )

    Optional. Config for filters.

    ranking object ( Ranking )

    Optional. Config for ranking and reranking.

    JSON representation 
     { 
 "topK" 
 : 
 integer 
 , 
 "filter" 
 : 
 { 
 object (  Filter 
 
) 
 } 
 , 
 "ranking" 
 : 
 { 
 object (  Ranking 
 
) 
 } 
 }

    Filter

    Config for filters.

    Fields
    metadataFilter string

    Optional. String for metadata filtering.

    vector_db_threshold Union type
    Filter contexts retrieved from the vector DB based on either vector distance or vector similarity. vector_db_threshold can be only one of the following:
    vectorDistanceThreshold number

    Optional. Only returns contexts with vector distance smaller than the threshold.

    vectorSimilarityThreshold number

    Optional. Only returns contexts with vector similarity larger than the threshold.

    JSON representation 
     { 
 "metadataFilter" 
 : 
 string 
 , 
 // vector_db_threshold 
 "vectorDistanceThreshold" 
 : 
 number 
 , 
 "vectorSimilarityThreshold" 
 : 
 number 
 // Union type 
 }

    Ranking

    Config for ranking and reranking.

    Fields
    ranking_config Union type
    Config options for ranking. Currently only Rank Service is supported. ranking_config can be only one of the following:
    rankService object ( RankService )

    Optional. Config for Rank service.

    llmRanker object ( LlmRanker )

    Optional. Config for LlmRanker.

    JSON representation 
     { 
 // ranking_config 
 "rankService" 
 : 
 { 
 object (  RankService 
 
) 
 } 
 , 
 "llmRanker" 
 : 
 { 
 object (  LlmRanker 
 
) 
 } 
 // Union type 
 }

    RankService

    Config for Rank service.

    Fields
    modelName string

    Optional. The model name of the rank service. Format: semantic-ranker-512@latest

    JSON representation 
     { 
 "modelName" 
 : 
 string 
 }

    LlmRanker

    Config for LlmRanker.

    Fields
    modelName string

    Optional. The model name used for ranking. See Supported models .

    JSON representation 
     { 
 "modelName" 
 : 
 string 
 }

    GoogleSearch

    GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.

    Fields
    excludeDomains[] string

    Optional. List of domains to be excluded from the search results. The default limit is 2000 domains. Example: ["amazon.com", "facebook.com"].

    blockingConfidence enum ( PhishBlockThreshold )

    Optional. Sites with confidence level chosen & above this value will be blocked from the search results.

    JSON representation 
     { 
 "excludeDomains" 
 : 
 [ 
 string 
 ] 
 , 
 "blockingConfidence" 
 : 
 enum (  PhishBlockThreshold 
 
) 
 }

    PhishBlockThreshold

    These are available confidence level user can set to block malicious urls with chosen confidence and above. For understanding different confidence of webrisk, please refer to https://cloud.google.com/web-risk/docs/reference/rpc/google.cloud.webrisk.v1eap1#confidencelevel

    Enums
    PHISH_BLOCK_THRESHOLD_UNSPECIFIED Defaults to unspecified.
    BLOCK_LOW_AND_ABOVE Blocks Low and above confidence URL that is risky.
    BLOCK_MEDIUM_AND_ABOVE Blocks Medium and above confidence URL that is risky.
    BLOCK_HIGH_AND_ABOVE Blocks High and above confidence URL that is risky.
    BLOCK_HIGHER_AND_ABOVE Blocks Higher and above confidence URL that is risky.
    BLOCK_VERY_HIGH_AND_ABOVE Blocks Very high and above confidence URL that is risky.
    BLOCK_ONLY_EXTREMELY_HIGH Blocks Extremely high confidence URL that is risky.

    GoogleSearchRetrieval

    Tool to retrieve public web data for grounding, powered by Google.

    Fields
    dynamicRetrievalConfig object ( DynamicRetrievalConfig )

    Specifies the dynamic retrieval configuration for the given source.

    JSON representation 
     { 
 "dynamicRetrievalConfig" 
 : 
 { 
 object (  DynamicRetrievalConfig 
 
) 
 } 
 }

    DynamicRetrievalConfig

    Describes the options to customize dynamic retrieval.

    Fields
    mode enum ( Mode )

    The mode of the predictor to be used in dynamic retrieval.

    dynamicThreshold number

    Optional. The threshold to be used in dynamic retrieval. If not set, a system default value is used.

    JSON representation 
     { 
 "mode" 
 : 
 enum (  Mode 
 
) 
 , 
 "dynamicThreshold" 
 : 
 number 
 }

    Mode

    The mode of the predictor to be used in dynamic retrieval.

    Enums
    MODE_UNSPECIFIED Always trigger retrieval.
    MODE_DYNAMIC Run retrieval only when system decides it is necessary.

    GoogleMaps

    Tool to retrieve public maps data for grounding, powered by Google.

    Fields
    enableWidget boolean

    Optional. If true, include the widget context token in the response.

    JSON representation 
     { 
 "enableWidget" 
 : 
 boolean 
 }

    EnterpriseWebSearch

    Tool to search public web data, powered by Vertex AI Search and Sec4 compliance.

    Fields
    excludeDomains[] string

    Optional. List of domains to be excluded from the search results. The default limit is 2000 domains.

    blockingConfidence enum ( PhishBlockThreshold )

    Optional. Sites with confidence level chosen & above this value will be blocked from the search results.

    JSON representation 
     { 
 "excludeDomains" 
 : 
 [ 
 string 
 ] 
 , 
 "blockingConfidence" 
 : 
 enum (  PhishBlockThreshold 
 
) 
 }

    CodeExecution

    This type has no fields.

    Tool that executes code generated by the model, and automatically returns the result to the model.

    See also [ExecutableCode]and [CodeExecutionResult] which are input and output to this tool.

    UrlContext

    This type has no fields.

    Tool to support URL context.

    ToolConfig

    Tool config. This config is shared for all tools provided in the request.

    Fields
    functionCallingConfig object ( FunctionCallingConfig )

    Optional. Function calling config.

    retrievalConfig object ( RetrievalConfig )

    Optional. Retrieval config.

    JSON representation 
     { 
 "functionCallingConfig" 
 : 
 { 
 object (  FunctionCallingConfig 
 
) 
 } 
 , 
 "retrievalConfig" 
 : 
 { 
 object (  RetrievalConfig 
 
) 
 } 
 }

    FunctionCallingConfig

    Function calling config.

    Fields
    mode enum ( Mode )

    Optional. Function calling mode.

    allowedFunctionNames[] string

    Optional. Function names to call. Only set when the Mode is ANY. Function names should match [FunctionDeclaration.name]. With mode set to ANY, model will predict a function call from the set of function names provided.

    JSON representation 
     { 
 "mode" 
 : 
 enum (  Mode 
 
) 
 , 
 "allowedFunctionNames" 
 : 
 [ 
 string 
 ] 
 }

    Mode

    Function calling mode.

    Enums
    MODE_UNSPECIFIED Unspecified function calling mode. This value should not be used.
    AUTO Default model behavior, model decides to predict either function calls or natural language response.
    ANY Model is constrained to always predicting function calls only. If "allowedFunctionNames" are set, the predicted function calls will be limited to any one of "allowedFunctionNames", else the predicted function calls will be any one of the provided "functionDeclarations".
    NONE Model will not predict any function calls. Model behavior is same as when not passing any function declarations.

    RetrievalConfig

    Retrieval config.

    Fields
    latLng object ( LatLng )

    The location of the user.

    languageCode string

    The language code of the user.

    JSON representation 
     { 
 "latLng" 
 : 
 { 
 object (  LatLng 
 
) 
 } 
 , 
 "languageCode" 
 : 
 string 
 }

    UsageMetadata

    metadata on the usage of the cached content.

    Fields
    totalTokenCount integer

    Total number of tokens that the cached content consumes.

    textCount integer

    Number of text characters.

    imageCount integer

    Number of images.

    videoDurationSeconds integer

    Duration of video in seconds.

    audioDurationSeconds integer

    Duration of audio in seconds.

    JSON representation 
     { 
 "totalTokenCount" 
 : 
 integer 
 , 
 "textCount" 
 : 
 integer 
 , 
 "imageCount" 
 : 
 integer 
 , 
 "videoDurationSeconds" 
 : 
 integer 
 , 
 "audioDurationSeconds" 
 : 
 integer 
 }

    Methods

    create

    		Creates cached content, this call will initialize the cached content in the data storage, and users need to pay for the cache data storage.

    delete

    		Deletes cached content

    get

    		Gets cached content configurations

    list

    		Lists cached contents in a project

    patch

    		Updates cached content configurations
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