Class CountTokensRequest (1.40.0)

publicfinalclass CountTokensRequestextendsGeneratedMessageV3implementsCountTokensRequestOrBuilder

Request message for [PredictionService.CountTokens][].

Protobuf type google.cloud.vertexai.v1.CountTokensRequest

Inheritance

Object > AbstractMessageLite<MessageType,BuilderType> > AbstractMessage > GeneratedMessageV3 > CountTokensRequest

Implements

CountTokensRequestOrBuilder

Inherited Members

publicstaticfinalintCONTENTS_FIELD_NUMBER

publicstaticfinalintENDPOINT_FIELD_NUMBER

publicstaticfinalintGENERATION_CONFIG_FIELD_NUMBER

publicstaticfinalintINSTANCES_FIELD_NUMBER

publicstaticfinalintMODEL_FIELD_NUMBER

publicstaticfinalintSYSTEM_INSTRUCTION_FIELD_NUMBER

publicstaticfinalintTOOLS_FIELD_NUMBER

publicstaticCountTokensRequestgetDefaultInstance()

publicstaticfinalDescriptors.DescriptorgetDescriptor()

publicstaticCountTokensRequest.BuildernewBuilder()

publicstaticCountTokensRequest.BuildernewBuilder(CountTokensRequestprototype)

publicstaticCountTokensRequestparseDelimitedFrom(InputStreaminput)

publicstaticCountTokensRequestparseDelimitedFrom(InputStreaminput,ExtensionRegistryLiteextensionRegistry)

publicstaticCountTokensRequestparseFrom(byte[]data)

publicstaticCountTokensRequestparseFrom(byte[]data,ExtensionRegistryLiteextensionRegistry)

publicstaticCountTokensRequestparseFrom(ByteStringdata)

publicstaticCountTokensRequestparseFrom(ByteStringdata,ExtensionRegistryLiteextensionRegistry)

publicstaticCountTokensRequestparseFrom(CodedInputStreaminput)

publicstaticCountTokensRequestparseFrom(CodedInputStreaminput,ExtensionRegistryLiteextensionRegistry)

publicstaticCountTokensRequestparseFrom(InputStreaminput)

publicstaticCountTokensRequestparseFrom(InputStreaminput,ExtensionRegistryLiteextensionRegistry)

publicstaticCountTokensRequestparseFrom(ByteBufferdata)

publicstaticCountTokensRequestparseFrom(ByteBufferdata,ExtensionRegistryLiteextensionRegistry)

publicstaticParser<CountTokensRequest>parser()

publicbooleanequals(Objectobj)

AbstractMessage.equals(Object other)

publicContentgetContents(intindex)

Optional. Input content.

repeated .google.cloud.vertexai.v1.Content contents = 4 [(.google.api.field_behavior) = OPTIONAL];

publicintgetContentsCount()

Optional. Input content.

repeated .google.cloud.vertexai.v1.Content contents = 4 [(.google.api.field_behavior) = OPTIONAL];

publicList<Content>getContentsList()

Optional. Input content.

repeated .google.cloud.vertexai.v1.Content contents = 4 [(.google.api.field_behavior) = OPTIONAL];

publicContentOrBuildergetContentsOrBuilder(intindex)

Optional. Input content.

repeated .google.cloud.vertexai.v1.Content contents = 4 [(.google.api.field_behavior) = OPTIONAL];

publicList<?extendsContentOrBuilder>getContentsOrBuilderList()

Optional. Input content.

repeated .google.cloud.vertexai.v1.Content contents = 4 [(.google.api.field_behavior) = OPTIONAL];

publicCountTokensRequestgetDefaultInstanceForType()

publicStringgetEndpoint()

Required. The name of the Endpoint requested to perform token counting. Format: projects/{project}/locations/{location}/endpoints/{endpoint}

string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

publicByteStringgetEndpointBytes()

Required. The name of the Endpoint requested to perform token counting. Format: projects/{project}/locations/{location}/endpoints/{endpoint}

string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

publicGenerationConfiggetGenerationConfig()

Optional. Generation config that the model will use to generate the response.

optional .google.cloud.vertexai.v1.GenerationConfig generation_config = 7 [(.google.api.field_behavior) = OPTIONAL];

publicGenerationConfigOrBuildergetGenerationConfigOrBuilder()

Optional. Generation config that the model will use to generate the response.

optional .google.cloud.vertexai.v1.GenerationConfig generation_config = 7 [(.google.api.field_behavior) = OPTIONAL];

publicValuegetInstances(intindex)

Optional. The instances that are the input to token counting call. Schema is identical to the prediction schema of the underlying model.

repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = OPTIONAL];

publicintgetInstancesCount()

Optional. The instances that are the input to token counting call. Schema is identical to the prediction schema of the underlying model.

repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = OPTIONAL];

publicList<Value>getInstancesList()

Optional. The instances that are the input to token counting call. Schema is identical to the prediction schema of the underlying model.

repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = OPTIONAL];

publicValueOrBuildergetInstancesOrBuilder(intindex)

Optional. The instances that are the input to token counting call. Schema is identical to the prediction schema of the underlying model.

repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = OPTIONAL];

publicList<?extendsValueOrBuilder>getInstancesOrBuilderList()

Optional. The instances that are the input to token counting call. Schema is identical to the prediction schema of the underlying model.

repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = OPTIONAL];

publicStringgetModel()

Optional. The name of the publisher model requested to serve the prediction. Format: projects/{project}/locations/{location}/publishers/*/models/*

string model = 3 [(.google.api.field_behavior) = OPTIONAL];

publicByteStringgetModelBytes()

Optional. The name of the publisher model requested to serve the prediction. Format: projects/{project}/locations/{location}/publishers/*/models/*

string model = 3 [(.google.api.field_behavior) = OPTIONAL];

publicParser<CountTokensRequest>getParserForType()

GeneratedMessageV3.getParserForType()

publicintgetSerializedSize()

GeneratedMessageV3.getSerializedSize()

publicContentgetSystemInstruction()

Optional. The user provided system instructions for the model. Note: only text should be used in parts and content in each part will be in a separate paragraph.

optional .google.cloud.vertexai.v1.Content system_instruction = 5 [(.google.api.field_behavior) = OPTIONAL];

publicContentOrBuildergetSystemInstructionOrBuilder()

Optional. The user provided system instructions for the model. Note: only text should be used in parts and content in each part will be in a separate paragraph.

optional .google.cloud.vertexai.v1.Content system_instruction = 5 [(.google.api.field_behavior) = OPTIONAL];

publicToolgetTools(intindex)

Optional. A list of Tools the model may use to generate the next 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.

repeated .google.cloud.vertexai.v1.Tool tools = 6 [(.google.api.field_behavior) = OPTIONAL];

publicintgetToolsCount()

Optional. A list of Tools the model may use to generate the next 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.

repeated .google.cloud.vertexai.v1.Tool tools = 6 [(.google.api.field_behavior) = OPTIONAL];

publicList<Tool>getToolsList()

Optional. A list of Tools the model may use to generate the next 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.

repeated .google.cloud.vertexai.v1.Tool tools = 6 [(.google.api.field_behavior) = OPTIONAL];

publicToolOrBuildergetToolsOrBuilder(intindex)

Optional. A list of Tools the model may use to generate the next 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.

repeated .google.cloud.vertexai.v1.Tool tools = 6 [(.google.api.field_behavior) = OPTIONAL];

publicList<?extendsToolOrBuilder>getToolsOrBuilderList()

Optional. A list of Tools the model may use to generate the next 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.

repeated .google.cloud.vertexai.v1.Tool tools = 6 [(.google.api.field_behavior) = OPTIONAL];

publicbooleanhasGenerationConfig()

Optional. Generation config that the model will use to generate the response.

optional .google.cloud.vertexai.v1.GenerationConfig generation_config = 7 [(.google.api.field_behavior) = OPTIONAL];

publicbooleanhasSystemInstruction()

Optional. The user provided system instructions for the model. Note: only text should be used in parts and content in each part will be in a separate paragraph.

optional .google.cloud.vertexai.v1.Content system_instruction = 5 [(.google.api.field_behavior) = OPTIONAL];

publicinthashCode()

AbstractMessage.hashCode()

protectedGeneratedMessageV3.FieldAccessorTableinternalGetFieldAccessorTable()

GeneratedMessageV3.internalGetFieldAccessorTable()

publicfinalbooleanisInitialized()

GeneratedMessageV3.isInitialized()

publicCountTokensRequest.BuildernewBuilderForType()

protectedCountTokensRequest.BuildernewBuilderForType(GeneratedMessageV3.BuilderParentparent)

GeneratedMessageV3.newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protectedObjectnewInstance(GeneratedMessageV3.UnusedPrivateParameterunused)

GeneratedMessageV3.newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

publicCountTokensRequest.BuildertoBuilder()

publicvoidwriteTo(CodedOutputStreamoutput)

GeneratedMessageV3.writeTo(CodedOutputStream output)