com.google.cloud.vertexai.api

Interface CountTokensRequestOrBuilder

All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

CountTokensRequest, CountTokensRequest.Builder

public interface CountTokensRequestOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method and Description
Content	getContents(int index) Optional.
int	getContentsCount() Optional.
List<Content>	getContentsList() Optional.
ContentOrBuilder	getContentsOrBuilder(int index) Optional.
List<? extends ContentOrBuilder>	getContentsOrBuilderList() Optional.
String	getEndpoint() Required.
com.google.protobuf.ByteString	getEndpointBytes() Required.
com.google.protobuf.Value	getInstances(int index) Optional.
int	getInstancesCount() Optional.
List<com.google.protobuf.Value>	getInstancesList() Optional.
com.google.protobuf.ValueOrBuilder	getInstancesOrBuilder(int index) Optional.
List<? extends com.google.protobuf.ValueOrBuilder>	getInstancesOrBuilderList() Optional.
String	getModel() Optional.
com.google.protobuf.ByteString	getModelBytes() Optional.
Content	getSystemInstruction() Optional.
ContentOrBuilder	getSystemInstructionOrBuilder() Optional.
Tool	getTools(int index) Optional.
int	getToolsCount() Optional.
List<Tool>	getToolsList() Optional.
ToolOrBuilder	getToolsOrBuilder(int index) Optional.
List<? extends ToolOrBuilder>	getToolsOrBuilderList() Optional.
boolean	hasSystemInstruction() Optional.

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Method Detail

getEndpoint

String getEndpoint()

 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) = { ... }

Returns:

The endpoint.

getEndpointBytes

com.google.protobuf.ByteString getEndpointBytes()

 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) = { ... }

Returns:

The bytes for endpoint.

getModel

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:

The model.

getModelBytes

com.google.protobuf.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:

The bytes for model.

getInstancesList

List<com.google.protobuf.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];

getInstances

com.google.protobuf.Value getInstances(int index)

 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];

getInstancesCount

int getInstancesCount()

 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];

getInstancesOrBuilderList

List<? extends com.google.protobuf.ValueOrBuilder> 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];

getInstancesOrBuilder

com.google.protobuf.ValueOrBuilder getInstancesOrBuilder(int index)

 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];

getContentsList

List<Content> getContentsList()

 Optional. Input content.
 

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

getContents

Content getContents(int index)

 Optional. Input content.
 

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

getContentsCount

int getContentsCount()

 Optional. Input content.
 

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

getContentsOrBuilderList

List<? extends ContentOrBuilder> getContentsOrBuilderList()

 Optional. Input content.
 

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

getContentsOrBuilder

ContentOrBuilder getContentsOrBuilder(int index)

 Optional. Input content.
 

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

hasSystemInstruction

boolean hasSystemInstruction()

 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];

Returns:

Whether the systemInstruction field is set.

getSystemInstruction

Content getSystemInstruction()

 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];

Returns:

The systemInstruction.

getSystemInstructionOrBuilder

ContentOrBuilder getSystemInstructionOrBuilder()

 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];

getToolsList

List<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];

getTools

Tool getTools(int index)

 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];

getToolsCount

int getToolsCount()

 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];

getToolsOrBuilderList

List<? extends ToolOrBuilder> 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];

getToolsOrBuilder

ToolOrBuilder getToolsOrBuilder(int index)

 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];