Package com.google.cloud.aiplatform.v1

Interface CountTokensRequestOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
CountTokensRequest, CountTokensRequest.Builder
@Generated public interface CountTokensRequestOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Details

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

    • getContents

      Content getContents(int index)
       Optional. Input content.
      repeated .google.cloud.aiplatform.v1.Content contents = 4 [(.google.api.field_behavior) = OPTIONAL];

    • getContentsCount

      int getContentsCount()
       Optional. Input content.
      repeated .google.cloud.aiplatform.v1.Content contents = 4 [(.google.api.field_behavior) = OPTIONAL];

    • getContentsOrBuilderList

      List<? extends ContentOrBuilder> getContentsOrBuilderList()
       Optional. Input content.
      repeated .google.cloud.aiplatform.v1.Content contents = 4 [(.google.api.field_behavior) = OPTIONAL];

    • getContentsOrBuilder

      ContentOrBuilder getContentsOrBuilder(int index)
       Optional. Input content.
      repeated .google.cloud.aiplatform.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.aiplatform.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.aiplatform.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.aiplatform.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.aiplatform.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.aiplatform.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.aiplatform.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.aiplatform.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.aiplatform.v1.Tool tools = 6 [(.google.api.field_behavior) = OPTIONAL];

    • hasGenerationConfig

      boolean hasGenerationConfig()
       Optional. Generation config that the model will use to generate the
 response.
      optional .google.cloud.aiplatform.v1.GenerationConfig generation_config = 7 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      Whether the generationConfig field is set.

    • getGenerationConfig

      GenerationConfig getGenerationConfig()
       Optional. Generation config that the model will use to generate the
 response.
      optional .google.cloud.aiplatform.v1.GenerationConfig generation_config = 7 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      The generationConfig.

    • getGenerationConfigOrBuilder

      GenerationConfigOrBuilder getGenerationConfigOrBuilder()
       Optional. Generation config that the model will use to generate the
 response.
      optional .google.cloud.aiplatform.v1.GenerationConfig generation_config = 7 [(.google.api.field_behavior) = OPTIONAL];