Class ComputeTokensRequest.Builder (3.52.0)

public static final class ComputeTokensRequest.Builder extends GeneratedMessageV3.Builder<ComputeTokensRequest.Builder> implements ComputeTokensRequestOrBuilder

Request message for ComputeTokens RPC call.

Protobuf type google.cloud.aiplatform.v1.ComputeTokensRequest

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
Type Description
Descriptor

Methods

addAllContents(Iterable<? extends Content> values)

public ComputeTokensRequest.Builder addAllContents(Iterable<? extends Content> values)

Optional. Input content.

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

Parameter
Name Description
values Iterable<? extends com.google.cloud.aiplatform.v1.Content>
Returns
Type Description
ComputeTokensRequest.Builder

addAllInstances(Iterable<? extends Value> values)

public ComputeTokensRequest.Builder addAllInstances(Iterable<? extends Value> values)

Optional. The instances that are the input to token computing API call. Schema is identical to the prediction schema of the text model, even for the non-text models, like chat models, or Codey models.

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

Parameter
Name Description
values Iterable<? extends com.google.protobuf.Value>
Returns
Type Description
ComputeTokensRequest.Builder

addContents(Content value)

public ComputeTokensRequest.Builder addContents(Content value)

Optional. Input content.

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

Parameter
Name Description
value Content
Returns
Type Description
ComputeTokensRequest.Builder

addContents(Content.Builder builderForValue)

public ComputeTokensRequest.Builder addContents(Content.Builder builderForValue)

Optional. Input content.

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

Parameter
Name Description
builderForValue Content.Builder
Returns
Type Description
ComputeTokensRequest.Builder

addContents(int index, Content value)

public ComputeTokensRequest.Builder addContents(int index, Content value)

Optional. Input content.

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

Parameters
Name Description
index int
value Content
Returns
Type Description
ComputeTokensRequest.Builder

addContents(int index, Content.Builder builderForValue)

public ComputeTokensRequest.Builder addContents(int index, Content.Builder builderForValue)

Optional. Input content.

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

Parameters
Name Description
index int
builderForValue Content.Builder
Returns
Type Description
ComputeTokensRequest.Builder

addContentsBuilder()

public Content.Builder addContentsBuilder()

Optional. Input content.

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

Returns
Type Description
Content.Builder

addContentsBuilder(int index)

public Content.Builder addContentsBuilder(int index)

Optional. Input content.

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

Parameter
Name Description
index int
Returns
Type Description
Content.Builder

addInstances(Value value)

public ComputeTokensRequest.Builder addInstances(Value value)

Optional. The instances that are the input to token computing API call. Schema is identical to the prediction schema of the text model, even for the non-text models, like chat models, or Codey models.

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

Parameter
Name Description
value Value
Returns
Type Description
ComputeTokensRequest.Builder

addInstances(Value.Builder builderForValue)

public ComputeTokensRequest.Builder addInstances(Value.Builder builderForValue)

Optional. The instances that are the input to token computing API call. Schema is identical to the prediction schema of the text model, even for the non-text models, like chat models, or Codey models.

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

Parameter
Name Description
builderForValue Builder
Returns
Type Description
ComputeTokensRequest.Builder

addInstances(int index, Value value)

public ComputeTokensRequest.Builder addInstances(int index, Value value)

Optional. The instances that are the input to token computing API call. Schema is identical to the prediction schema of the text model, even for the non-text models, like chat models, or Codey models.

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

Parameters
Name Description
index int
value Value
Returns
Type Description
ComputeTokensRequest.Builder

addInstances(int index, Value.Builder builderForValue)

public ComputeTokensRequest.Builder addInstances(int index, Value.Builder builderForValue)

Optional. The instances that are the input to token computing API call. Schema is identical to the prediction schema of the text model, even for the non-text models, like chat models, or Codey models.

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

Parameters
Name Description
index int
builderForValue Builder
Returns
Type Description
ComputeTokensRequest.Builder

addInstancesBuilder()

public Value.Builder addInstancesBuilder()

Optional. The instances that are the input to token computing API call. Schema is identical to the prediction schema of the text model, even for the non-text models, like chat models, or Codey models.

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

Returns
Type Description
Builder

addInstancesBuilder(int index)

public Value.Builder addInstancesBuilder(int index)

Optional. The instances that are the input to token computing API call. Schema is identical to the prediction schema of the text model, even for the non-text models, like chat models, or Codey models.

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

Parameter
Name Description
index int
Returns
Type Description
Builder

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public ComputeTokensRequest.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
ComputeTokensRequest.Builder
Overrides

build()

public ComputeTokensRequest build()
Returns
Type Description
ComputeTokensRequest

buildPartial()

public ComputeTokensRequest buildPartial()
Returns
Type Description
ComputeTokensRequest

clear()

public ComputeTokensRequest.Builder clear()
Returns
Type Description
ComputeTokensRequest.Builder
Overrides

clearContents()

public ComputeTokensRequest.Builder clearContents()

Optional. Input content.

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

Returns
Type Description
ComputeTokensRequest.Builder

clearEndpoint()

public ComputeTokensRequest.Builder clearEndpoint()

Required. The name of the Endpoint requested to get lists of tokens and token ids.

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

Returns
Type Description
ComputeTokensRequest.Builder

This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public ComputeTokensRequest.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
Name Description
field FieldDescriptor
Returns
Type Description
ComputeTokensRequest.Builder
Overrides

clearInstances()

public ComputeTokensRequest.Builder clearInstances()

Optional. The instances that are the input to token computing API call. Schema is identical to the prediction schema of the text model, even for the non-text models, like chat models, or Codey models.

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

Returns
Type Description
ComputeTokensRequest.Builder

clearModel()

public ComputeTokensRequest.Builder clearModel()

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];

Returns
Type Description
ComputeTokensRequest.Builder

This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public ComputeTokensRequest.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
Name Description
oneof OneofDescriptor
Returns
Type Description
ComputeTokensRequest.Builder
Overrides

clone()

public ComputeTokensRequest.Builder clone()
Returns
Type Description
ComputeTokensRequest.Builder
Overrides

getContents(int index)

public Content getContents(int index)

Optional. Input content.

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

Parameter
Name Description
index int
Returns
Type Description
Content

getContentsBuilder(int index)

public Content.Builder getContentsBuilder(int index)

Optional. Input content.

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

Parameter
Name Description
index int
Returns
Type Description
Content.Builder

getContentsBuilderList()

public List<Content.Builder> getContentsBuilderList()

Optional. Input content.

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

Returns
Type Description
List<Builder>

getContentsCount()

public int getContentsCount()

Optional. Input content.

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

Returns
Type Description
int

getContentsList()

public List<Content> getContentsList()

Optional. Input content.

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

Returns
Type Description
List<Content>

getContentsOrBuilder(int index)

public ContentOrBuilder getContentsOrBuilder(int index)

Optional. Input content.

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

Parameter
Name Description
index int
Returns
Type Description
ContentOrBuilder

getContentsOrBuilderList()

public List<? extends ContentOrBuilder> getContentsOrBuilderList()

Optional. Input content.

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

Returns
Type Description
List<? extends com.google.cloud.aiplatform.v1.ContentOrBuilder>

getDefaultInstanceForType()

public ComputeTokensRequest getDefaultInstanceForType()
Returns
Type Description
ComputeTokensRequest

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
Type Description
Descriptor
Overrides

getEndpoint()

public String getEndpoint()

Required. The name of the Endpoint requested to get lists of tokens and token ids.

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

Returns
Type Description
String

The endpoint.

getEndpointBytes()

public ByteString getEndpointBytes()

Required. The name of the Endpoint requested to get lists of tokens and token ids.

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

Returns
Type Description
ByteString

The bytes for endpoint.

getInstances(int index)

public Value getInstances(int index)

Optional. The instances that are the input to token computing API call. Schema is identical to the prediction schema of the text model, even for the non-text models, like chat models, or Codey models.

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

Parameter
Name Description
index int
Returns
Type Description
Value

getInstancesBuilder(int index)

public Value.Builder getInstancesBuilder(int index)

Optional. The instances that are the input to token computing API call. Schema is identical to the prediction schema of the text model, even for the non-text models, like chat models, or Codey models.

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

Parameter
Name Description
index int
Returns
Type Description
Builder

getInstancesBuilderList()

public List<Value.Builder> getInstancesBuilderList()

Optional. The instances that are the input to token computing API call. Schema is identical to the prediction schema of the text model, even for the non-text models, like chat models, or Codey models.

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

Returns
Type Description
List<Builder>

getInstancesCount()

public int getInstancesCount()

Optional. The instances that are the input to token computing API call. Schema is identical to the prediction schema of the text model, even for the non-text models, like chat models, or Codey models.

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

Returns
Type Description
int

getInstancesList()

public List<Value> getInstancesList()

Optional. The instances that are the input to token computing API call. Schema is identical to the prediction schema of the text model, even for the non-text models, like chat models, or Codey models.

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

Returns
Type Description
List<Value>

getInstancesOrBuilder(int index)

public ValueOrBuilder getInstancesOrBuilder(int index)

Optional. The instances that are the input to token computing API call. Schema is identical to the prediction schema of the text model, even for the non-text models, like chat models, or Codey models.

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

Parameter
Name Description
index int
Returns
Type Description
ValueOrBuilder

getInstancesOrBuilderList()

public List<? extends ValueOrBuilder> getInstancesOrBuilderList()

Optional. The instances that are the input to token computing API call. Schema is identical to the prediction schema of the text model, even for the non-text models, like chat models, or Codey models.

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

Returns
Type Description
List<? extends com.google.protobuf.ValueOrBuilder>

getModel()

public String getModel()

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];

Returns
Type Description
String

The model.

getModelBytes()

public ByteString getModelBytes()

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];

Returns
Type Description
ByteString

The bytes for model.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

mergeFrom(ComputeTokensRequest other)

public ComputeTokensRequest.Builder mergeFrom(ComputeTokensRequest other)
Parameter
Name Description
other ComputeTokensRequest
Returns
Type Description
ComputeTokensRequest.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public ComputeTokensRequest.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ComputeTokensRequest.Builder
Overrides
Exceptions
Type Description
IOException

mergeFrom(Message other)

public ComputeTokensRequest.Builder mergeFrom(Message other)
Parameter
Name Description
other Message
Returns
Type Description
ComputeTokensRequest.Builder
Overrides

mergeUnknownFields(UnknownFieldSet unknownFields)

public final ComputeTokensRequest.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
ComputeTokensRequest.Builder
Overrides

removeContents(int index)

public ComputeTokensRequest.Builder removeContents(int index)

Optional. Input content.

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

Parameter
Name Description
index int
Returns
Type Description
ComputeTokensRequest.Builder

removeInstances(int index)

public ComputeTokensRequest.Builder removeInstances(int index)

Optional. The instances that are the input to token computing API call. Schema is identical to the prediction schema of the text model, even for the non-text models, like chat models, or Codey models.

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

Parameter
Name Description
index int
Returns
Type Description
ComputeTokensRequest.Builder

setContents(int index, Content value)

public ComputeTokensRequest.Builder setContents(int index, Content value)

Optional. Input content.

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

Parameters
Name Description
index int
value Content
Returns
Type Description
ComputeTokensRequest.Builder

setContents(int index, Content.Builder builderForValue)

public ComputeTokensRequest.Builder setContents(int index, Content.Builder builderForValue)

Optional. Input content.

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

Parameters
Name Description
index int
builderForValue Content.Builder
Returns
Type Description
ComputeTokensRequest.Builder

setEndpoint(String value)

public ComputeTokensRequest.Builder setEndpoint(String value)

Required. The name of the Endpoint requested to get lists of tokens and token ids.

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

Parameter
Name Description
value String

The endpoint to set.

Returns
Type Description
ComputeTokensRequest.Builder

This builder for chaining.

setEndpointBytes(ByteString value)

public ComputeTokensRequest.Builder setEndpointBytes(ByteString value)

Required. The name of the Endpoint requested to get lists of tokens and token ids.

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

Parameter
Name Description
value ByteString

The bytes for endpoint to set.

Returns
Type Description
ComputeTokensRequest.Builder

This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

public ComputeTokensRequest.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
ComputeTokensRequest.Builder
Overrides

setInstances(int index, Value value)

public ComputeTokensRequest.Builder setInstances(int index, Value value)

Optional. The instances that are the input to token computing API call. Schema is identical to the prediction schema of the text model, even for the non-text models, like chat models, or Codey models.

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

Parameters
Name Description
index int
value Value
Returns
Type Description
ComputeTokensRequest.Builder

setInstances(int index, Value.Builder builderForValue)

public ComputeTokensRequest.Builder setInstances(int index, Value.Builder builderForValue)

Optional. The instances that are the input to token computing API call. Schema is identical to the prediction schema of the text model, even for the non-text models, like chat models, or Codey models.

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

Parameters
Name Description
index int
builderForValue Builder
Returns
Type Description
ComputeTokensRequest.Builder

setModel(String value)

public ComputeTokensRequest.Builder setModel(String value)

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];

Parameter
Name Description
value String

The model to set.

Returns
Type Description
ComputeTokensRequest.Builder

This builder for chaining.

setModelBytes(ByteString value)

public ComputeTokensRequest.Builder setModelBytes(ByteString value)

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];

Parameter
Name Description
value ByteString

The bytes for model to set.

Returns
Type Description
ComputeTokensRequest.Builder

This builder for chaining.

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public ComputeTokensRequest.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
Name Description
field FieldDescriptor
index int
value Object
Returns
Type Description
ComputeTokensRequest.Builder
Overrides

setUnknownFields(UnknownFieldSet unknownFields)

public final ComputeTokensRequest.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
ComputeTokensRequest.Builder
Overrides