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 publisher model to use for cached content. Format: projects/{project}/locations/{location}/publishers/{publisher}/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. Creatation time of the cache entry.

A timestamp in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits. Examples: "2014-10-02T15:01:23Z" and "2014-10-02T15:01:23.045123456Z".

updateTime string (Timestamp format)

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

A timestamp in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits. Examples: "2014-10-02T15:01:23Z" and "2014-10-02T15:01:23.045123456Z".

usageMetadata object (UsageMetadata)

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

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.

A timestamp in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits. Examples: "2014-10-02T15:01:23Z" and "2014-10-02T15:01:23.045123456Z".

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)
  },

  // 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 128 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 object (GoogleSearchRetrieval)

Optional. GoogleSearchRetrieval tool type. Specialized retrieval tool that is powered by Google search.

JSON representation 
{
  "functionDeclarations": [
    {
      object (FunctionDeclaration)
    }
  ],
  "retrieval": {
    object (Retrieval)
  },
  "googleSearch": {
    object (GoogleSearch)
  },
  "googleSearchRetrieval": {
    object (GoogleSearchRetrieval)
  }
}

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

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.

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

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.

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)
    }
  ]
}

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

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 for grounding. See https://cloud.google.com/products/agent-builder

Fields
datastore string

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

JSON representation 
{
  "datastore": 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.

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

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
}

GoogleSearch

This type has no fields.

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

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.

ToolConfig

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

Fields
functionCallingConfig object (FunctionCallingConfig)

Optional. Function calling config.

JSON representation 
{
  "functionCallingConfig": {
    object (FunctionCallingConfig)
  }
}

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.

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