Class: Google::Cloud::AIPlatform::V1::GenerationConfig

Inherits:

Object

• Object
• Google::Cloud::AIPlatform::V1::GenerationConfig

Extended by:

Protobuf::MessageExts::ClassMethods

Includes:

Protobuf::MessageExts

Defined in:

proto_docs/google/cloud/aiplatform/v1/content.rb

Overview

Generation config.

Defined Under Namespace

Modules: MediaResolution, Modality Classes: RoutingConfig, ThinkingConfig

Instance Attribute Summary

• #audio_timestamp ⇒ ::Boolean

  Optional.

• #candidate_count ⇒ ::Integer

  Optional.

• #frequency_penalty ⇒ ::Float

  Optional.

• #image_config ⇒ ::Google::Cloud::AIPlatform::V1::ImageConfig

  Optional.

• #logprobs ⇒ ::Integer

  Optional.

• #max_output_tokens ⇒ ::Integer

  Optional.

• #media_resolution ⇒ ::Google::Cloud::AIPlatform::V1::GenerationConfig::MediaResolution

  Optional.

• #presence_penalty ⇒ ::Float

  Optional.

• #response_json_schema ⇒ ::Google::Protobuf::Value

  Optional.

• #response_logprobs ⇒ ::Boolean

  Optional.

• #response_mime_type ⇒ ::String

  Optional.

• #response_modalities ⇒ ::Array<::Google::Cloud::AIPlatform::V1::GenerationConfig::Modality>

  Optional.

• #response_schema ⇒ ::Google::Cloud::AIPlatform::V1::Schema

  Optional.

• #routing_config ⇒ ::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig

  Optional.

• #seed ⇒ ::Integer

  Optional.

• #speech_config ⇒ ::Google::Cloud::AIPlatform::V1::SpeechConfig

  Optional.

• #stop_sequences ⇒ ::Array<::String>

  Optional.

• #temperature ⇒ ::Float

  Optional.

• #thinking_config ⇒ ::Google::Cloud::AIPlatform::V1::GenerationConfig::ThinkingConfig

  Optional.

• #top_k ⇒ ::Float

  Optional.

• #top_p ⇒ ::Float

  Optional.

Instance Attribute Details

#audio_timestamp ⇒ ::Boolean

Returns Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.

Returns:

• (::Boolean) —

  Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.

# File 'proto_docs/google/cloud/aiplatform/v1/content.rb', line 441

class GenerationConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # The configuration for routing the request to a specific model.
  # @!attribute [rw] auto_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode]
  #     Automated routing.
  #
  #     Note: The following fields are mutually exclusive: `auto_mode`, `manual_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  # @!attribute [rw] manual_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::ManualRoutingMode]
  #     Manual routing.
  #
  #     Note: The following fields are mutually exclusive: `manual_mode`, `auto_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  class RoutingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # When automated routing is specified, the routing will be determined by
    # the pretrained routing model and customer provided model routing
    # preference.
    # @!attribute [rw] model_routing_preference
    #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode::ModelRoutingPreference]
    #     The model routing preference.
    class AutoRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods

      # The model routing preference.
      module ModelRoutingPreference
        # Unspecified model routing preference.
        UNKNOWN = 0

        # Prefer higher quality over low cost.
        PRIORITIZE_QUALITY = 1

        # Balanced model routing preference.
        BALANCED = 2

        # Prefer lower cost over higher quality.
        PRIORITIZE_COST = 3
      end
    end

    # When manual routing is set, the specified model will be used directly.
    # @!attribute [rw] model_name
    #   @return [::String]
    #     The model name to use. Only the public LLM models are accepted. e.g.
    #     'gemini-1.5-pro-001'.
    class ManualRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end
  end

  # Config for thinking features.
  # @!attribute [rw] include_thoughts
  #   @return [::Boolean]
  #     Indicates whether to include thoughts in the response.
  #     If true, thoughts are returned only when available.
  # @!attribute [rw] thinking_budget
  #   @return [::Integer]
  #     Optional. Indicates the thinking budget in tokens.
  #     This is only applied when enable_thinking is true.
  # @!attribute [rw] thinking_level
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::ThinkingConfig::ThinkingLevel]
  #     Optional. The number of thoughts tokens that the model should generate.
  class ThinkingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # The thinking level for the model.
    module ThinkingLevel
      # Unspecified thinking level.
      THINKING_LEVEL_UNSPECIFIED = 0

      # Low thinking level.
      LOW = 1

      # Medium thinking level.
      MEDIUM = 2

      # High thinking level.
      HIGH = 3

      # MINIMAL thinking level.
      MINIMAL = 4
    end
  end

  # The modalities of the response.
  module Modality
    # Unspecified modality. Will be processed as text.
    MODALITY_UNSPECIFIED = 0

    # Text modality.
    TEXT = 1

    # Image modality.
    IMAGE = 2

    # Audio modality.
    AUDIO = 3
  end

  # Media resolution for the input media.
  module MediaResolution
    # Media resolution has not been set.
    MEDIA_RESOLUTION_UNSPECIFIED = 0

    # Media resolution set to low (64 tokens).
    MEDIA_RESOLUTION_LOW = 1

    # Media resolution set to medium (256 tokens).
    MEDIA_RESOLUTION_MEDIUM = 2

    # Media resolution set to high (zoomed reframing with 256 tokens).
    MEDIA_RESOLUTION_HIGH = 3
  end
end

#candidate_count ⇒ ::Integer

Returns Optional. Number of candidates to generate.

Returns:

• (::Integer) —

  Optional. Number of candidates to generate.

# File 'proto_docs/google/cloud/aiplatform/v1/content.rb', line 441

class GenerationConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # The configuration for routing the request to a specific model.
  # @!attribute [rw] auto_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode]
  #     Automated routing.
  #
  #     Note: The following fields are mutually exclusive: `auto_mode`, `manual_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  # @!attribute [rw] manual_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::ManualRoutingMode]
  #     Manual routing.
  #
  #     Note: The following fields are mutually exclusive: `manual_mode`, `auto_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  class RoutingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # When automated routing is specified, the routing will be determined by
    # the pretrained routing model and customer provided model routing
    # preference.
    # @!attribute [rw] model_routing_preference
    #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode::ModelRoutingPreference]
    #     The model routing preference.
    class AutoRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods

      # The model routing preference.
      module ModelRoutingPreference
        # Unspecified model routing preference.
        UNKNOWN = 0

        # Prefer higher quality over low cost.
        PRIORITIZE_QUALITY = 1

        # Balanced model routing preference.
        BALANCED = 2

        # Prefer lower cost over higher quality.
        PRIORITIZE_COST = 3
      end
    end

    # When manual routing is set, the specified model will be used directly.
    # @!attribute [rw] model_name
    #   @return [::String]
    #     The model name to use. Only the public LLM models are accepted. e.g.
    #     'gemini-1.5-pro-001'.
    class ManualRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end
  end

  # Config for thinking features.
  # @!attribute [rw] include_thoughts
  #   @return [::Boolean]
  #     Indicates whether to include thoughts in the response.
  #     If true, thoughts are returned only when available.
  # @!attribute [rw] thinking_budget
  #   @return [::Integer]
  #     Optional. Indicates the thinking budget in tokens.
  #     This is only applied when enable_thinking is true.
  # @!attribute [rw] thinking_level
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::ThinkingConfig::ThinkingLevel]
  #     Optional. The number of thoughts tokens that the model should generate.
  class ThinkingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # The thinking level for the model.
    module ThinkingLevel
      # Unspecified thinking level.
      THINKING_LEVEL_UNSPECIFIED = 0

      # Low thinking level.
      LOW = 1

      # Medium thinking level.
      MEDIUM = 2

      # High thinking level.
      HIGH = 3

      # MINIMAL thinking level.
      MINIMAL = 4
    end
  end

  # The modalities of the response.
  module Modality
    # Unspecified modality. Will be processed as text.
    MODALITY_UNSPECIFIED = 0

    # Text modality.
    TEXT = 1

    # Image modality.
    IMAGE = 2

    # Audio modality.
    AUDIO = 3
  end

  # Media resolution for the input media.
  module MediaResolution
    # Media resolution has not been set.
    MEDIA_RESOLUTION_UNSPECIFIED = 0

    # Media resolution set to low (64 tokens).
    MEDIA_RESOLUTION_LOW = 1

    # Media resolution set to medium (256 tokens).
    MEDIA_RESOLUTION_MEDIUM = 2

    # Media resolution set to high (zoomed reframing with 256 tokens).
    MEDIA_RESOLUTION_HIGH = 3
  end
end

#frequency_penalty ⇒ ::Float

Returns Optional. Frequency penalties.

Returns:

• (::Float) —

  Optional. Frequency penalties.

# File 'proto_docs/google/cloud/aiplatform/v1/content.rb', line 441

class GenerationConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # The configuration for routing the request to a specific model.
  # @!attribute [rw] auto_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode]
  #     Automated routing.
  #
  #     Note: The following fields are mutually exclusive: `auto_mode`, `manual_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  # @!attribute [rw] manual_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::ManualRoutingMode]
  #     Manual routing.
  #
  #     Note: The following fields are mutually exclusive: `manual_mode`, `auto_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  class RoutingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # When automated routing is specified, the routing will be determined by
    # the pretrained routing model and customer provided model routing
    # preference.
    # @!attribute [rw] model_routing_preference
    #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode::ModelRoutingPreference]
    #     The model routing preference.
    class AutoRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods

      # The model routing preference.
      module ModelRoutingPreference
        # Unspecified model routing preference.
        UNKNOWN = 0

        # Prefer higher quality over low cost.
        PRIORITIZE_QUALITY = 1

        # Balanced model routing preference.
        BALANCED = 2

        # Prefer lower cost over higher quality.
        PRIORITIZE_COST = 3
      end
    end

    # When manual routing is set, the specified model will be used directly.
    # @!attribute [rw] model_name
    #   @return [::String]
    #     The model name to use. Only the public LLM models are accepted. e.g.
    #     'gemini-1.5-pro-001'.
    class ManualRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end
  end

  # Config for thinking features.
  # @!attribute [rw] include_thoughts
  #   @return [::Boolean]
  #     Indicates whether to include thoughts in the response.
  #     If true, thoughts are returned only when available.
  # @!attribute [rw] thinking_budget
  #   @return [::Integer]
  #     Optional. Indicates the thinking budget in tokens.
  #     This is only applied when enable_thinking is true.
  # @!attribute [rw] thinking_level
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::ThinkingConfig::ThinkingLevel]
  #     Optional. The number of thoughts tokens that the model should generate.
  class ThinkingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # The thinking level for the model.
    module ThinkingLevel
      # Unspecified thinking level.
      THINKING_LEVEL_UNSPECIFIED = 0

      # Low thinking level.
      LOW = 1

      # Medium thinking level.
      MEDIUM = 2

      # High thinking level.
      HIGH = 3

      # MINIMAL thinking level.
      MINIMAL = 4
    end
  end

  # The modalities of the response.
  module Modality
    # Unspecified modality. Will be processed as text.
    MODALITY_UNSPECIFIED = 0

    # Text modality.
    TEXT = 1

    # Image modality.
    IMAGE = 2

    # Audio modality.
    AUDIO = 3
  end

  # Media resolution for the input media.
  module MediaResolution
    # Media resolution has not been set.
    MEDIA_RESOLUTION_UNSPECIFIED = 0

    # Media resolution set to low (64 tokens).
    MEDIA_RESOLUTION_LOW = 1

    # Media resolution set to medium (256 tokens).
    MEDIA_RESOLUTION_MEDIUM = 2

    # Media resolution set to high (zoomed reframing with 256 tokens).
    MEDIA_RESOLUTION_HIGH = 3
  end
end

#image_config ⇒ ::Google::Cloud::AIPlatform::V1::ImageConfig

Returns Optional. Config for image generation features.

Returns:

• (::Google::Cloud::AIPlatform::V1::ImageConfig) —

  Optional. Config for image generation features.

# File 'proto_docs/google/cloud/aiplatform/v1/content.rb', line 441

class GenerationConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # The configuration for routing the request to a specific model.
  # @!attribute [rw] auto_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode]
  #     Automated routing.
  #
  #     Note: The following fields are mutually exclusive: `auto_mode`, `manual_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  # @!attribute [rw] manual_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::ManualRoutingMode]
  #     Manual routing.
  #
  #     Note: The following fields are mutually exclusive: `manual_mode`, `auto_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  class RoutingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # When automated routing is specified, the routing will be determined by
    # the pretrained routing model and customer provided model routing
    # preference.
    # @!attribute [rw] model_routing_preference
    #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode::ModelRoutingPreference]
    #     The model routing preference.
    class AutoRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods

      # The model routing preference.
      module ModelRoutingPreference
        # Unspecified model routing preference.
        UNKNOWN = 0

        # Prefer higher quality over low cost.
        PRIORITIZE_QUALITY = 1

        # Balanced model routing preference.
        BALANCED = 2

        # Prefer lower cost over higher quality.
        PRIORITIZE_COST = 3
      end
    end

    # When manual routing is set, the specified model will be used directly.
    # @!attribute [rw] model_name
    #   @return [::String]
    #     The model name to use. Only the public LLM models are accepted. e.g.
    #     'gemini-1.5-pro-001'.
    class ManualRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end
  end

  # Config for thinking features.
  # @!attribute [rw] include_thoughts
  #   @return [::Boolean]
  #     Indicates whether to include thoughts in the response.
  #     If true, thoughts are returned only when available.
  # @!attribute [rw] thinking_budget
  #   @return [::Integer]
  #     Optional. Indicates the thinking budget in tokens.
  #     This is only applied when enable_thinking is true.
  # @!attribute [rw] thinking_level
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::ThinkingConfig::ThinkingLevel]
  #     Optional. The number of thoughts tokens that the model should generate.
  class ThinkingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # The thinking level for the model.
    module ThinkingLevel
      # Unspecified thinking level.
      THINKING_LEVEL_UNSPECIFIED = 0

      # Low thinking level.
      LOW = 1

      # Medium thinking level.
      MEDIUM = 2

      # High thinking level.
      HIGH = 3

      # MINIMAL thinking level.
      MINIMAL = 4
    end
  end

  # The modalities of the response.
  module Modality
    # Unspecified modality. Will be processed as text.
    MODALITY_UNSPECIFIED = 0

    # Text modality.
    TEXT = 1

    # Image modality.
    IMAGE = 2

    # Audio modality.
    AUDIO = 3
  end

  # Media resolution for the input media.
  module MediaResolution
    # Media resolution has not been set.
    MEDIA_RESOLUTION_UNSPECIFIED = 0

    # Media resolution set to low (64 tokens).
    MEDIA_RESOLUTION_LOW = 1

    # Media resolution set to medium (256 tokens).
    MEDIA_RESOLUTION_MEDIUM = 2

    # Media resolution set to high (zoomed reframing with 256 tokens).
    MEDIA_RESOLUTION_HIGH = 3
  end
end

#logprobs ⇒ ::Integer

Returns Optional. Logit probabilities.

Returns:

• (::Integer) —

  Optional. Logit probabilities.

# File 'proto_docs/google/cloud/aiplatform/v1/content.rb', line 441

class GenerationConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # The configuration for routing the request to a specific model.
  # @!attribute [rw] auto_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode]
  #     Automated routing.
  #
  #     Note: The following fields are mutually exclusive: `auto_mode`, `manual_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  # @!attribute [rw] manual_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::ManualRoutingMode]
  #     Manual routing.
  #
  #     Note: The following fields are mutually exclusive: `manual_mode`, `auto_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  class RoutingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # When automated routing is specified, the routing will be determined by
    # the pretrained routing model and customer provided model routing
    # preference.
    # @!attribute [rw] model_routing_preference
    #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode::ModelRoutingPreference]
    #     The model routing preference.
    class AutoRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods

      # The model routing preference.
      module ModelRoutingPreference
        # Unspecified model routing preference.
        UNKNOWN = 0

        # Prefer higher quality over low cost.
        PRIORITIZE_QUALITY = 1

        # Balanced model routing preference.
        BALANCED = 2

        # Prefer lower cost over higher quality.
        PRIORITIZE_COST = 3
      end
    end

    # When manual routing is set, the specified model will be used directly.
    # @!attribute [rw] model_name
    #   @return [::String]
    #     The model name to use. Only the public LLM models are accepted. e.g.
    #     'gemini-1.5-pro-001'.
    class ManualRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end
  end

  # Config for thinking features.
  # @!attribute [rw] include_thoughts
  #   @return [::Boolean]
  #     Indicates whether to include thoughts in the response.
  #     If true, thoughts are returned only when available.
  # @!attribute [rw] thinking_budget
  #   @return [::Integer]
  #     Optional. Indicates the thinking budget in tokens.
  #     This is only applied when enable_thinking is true.
  # @!attribute [rw] thinking_level
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::ThinkingConfig::ThinkingLevel]
  #     Optional. The number of thoughts tokens that the model should generate.
  class ThinkingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # The thinking level for the model.
    module ThinkingLevel
      # Unspecified thinking level.
      THINKING_LEVEL_UNSPECIFIED = 0

      # Low thinking level.
      LOW = 1

      # Medium thinking level.
      MEDIUM = 2

      # High thinking level.
      HIGH = 3

      # MINIMAL thinking level.
      MINIMAL = 4
    end
  end

  # The modalities of the response.
  module Modality
    # Unspecified modality. Will be processed as text.
    MODALITY_UNSPECIFIED = 0

    # Text modality.
    TEXT = 1

    # Image modality.
    IMAGE = 2

    # Audio modality.
    AUDIO = 3
  end

  # Media resolution for the input media.
  module MediaResolution
    # Media resolution has not been set.
    MEDIA_RESOLUTION_UNSPECIFIED = 0

    # Media resolution set to low (64 tokens).
    MEDIA_RESOLUTION_LOW = 1

    # Media resolution set to medium (256 tokens).
    MEDIA_RESOLUTION_MEDIUM = 2

    # Media resolution set to high (zoomed reframing with 256 tokens).
    MEDIA_RESOLUTION_HIGH = 3
  end
end

#max_output_tokens ⇒ ::Integer

Returns Optional. The maximum number of output tokens to generate per message.

Returns:

• (::Integer) —

  Optional. The maximum number of output tokens to generate per message.

# File 'proto_docs/google/cloud/aiplatform/v1/content.rb', line 441

class GenerationConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # The configuration for routing the request to a specific model.
  # @!attribute [rw] auto_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode]
  #     Automated routing.
  #
  #     Note: The following fields are mutually exclusive: `auto_mode`, `manual_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  # @!attribute [rw] manual_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::ManualRoutingMode]
  #     Manual routing.
  #
  #     Note: The following fields are mutually exclusive: `manual_mode`, `auto_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  class RoutingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # When automated routing is specified, the routing will be determined by
    # the pretrained routing model and customer provided model routing
    # preference.
    # @!attribute [rw] model_routing_preference
    #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode::ModelRoutingPreference]
    #     The model routing preference.
    class AutoRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods

      # The model routing preference.
      module ModelRoutingPreference
        # Unspecified model routing preference.
        UNKNOWN = 0

        # Prefer higher quality over low cost.
        PRIORITIZE_QUALITY = 1

        # Balanced model routing preference.
        BALANCED = 2

        # Prefer lower cost over higher quality.
        PRIORITIZE_COST = 3
      end
    end

    # When manual routing is set, the specified model will be used directly.
    # @!attribute [rw] model_name
    #   @return [::String]
    #     The model name to use. Only the public LLM models are accepted. e.g.
    #     'gemini-1.5-pro-001'.
    class ManualRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end
  end

  # Config for thinking features.
  # @!attribute [rw] include_thoughts
  #   @return [::Boolean]
  #     Indicates whether to include thoughts in the response.
  #     If true, thoughts are returned only when available.
  # @!attribute [rw] thinking_budget
  #   @return [::Integer]
  #     Optional. Indicates the thinking budget in tokens.
  #     This is only applied when enable_thinking is true.
  # @!attribute [rw] thinking_level
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::ThinkingConfig::ThinkingLevel]
  #     Optional. The number of thoughts tokens that the model should generate.
  class ThinkingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # The thinking level for the model.
    module ThinkingLevel
      # Unspecified thinking level.
      THINKING_LEVEL_UNSPECIFIED = 0

      # Low thinking level.
      LOW = 1

      # Medium thinking level.
      MEDIUM = 2

      # High thinking level.
      HIGH = 3

      # MINIMAL thinking level.
      MINIMAL = 4
    end
  end

  # The modalities of the response.
  module Modality
    # Unspecified modality. Will be processed as text.
    MODALITY_UNSPECIFIED = 0

    # Text modality.
    TEXT = 1

    # Image modality.
    IMAGE = 2

    # Audio modality.
    AUDIO = 3
  end

  # Media resolution for the input media.
  module MediaResolution
    # Media resolution has not been set.
    MEDIA_RESOLUTION_UNSPECIFIED = 0

    # Media resolution set to low (64 tokens).
    MEDIA_RESOLUTION_LOW = 1

    # Media resolution set to medium (256 tokens).
    MEDIA_RESOLUTION_MEDIUM = 2

    # Media resolution set to high (zoomed reframing with 256 tokens).
    MEDIA_RESOLUTION_HIGH = 3
  end
end

#media_resolution ⇒ ::Google::Cloud::AIPlatform::V1::GenerationConfig::MediaResolution

Returns Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.

Returns:

• (::Google::Cloud::AIPlatform::V1::GenerationConfig::MediaResolution) —

  Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.

# File 'proto_docs/google/cloud/aiplatform/v1/content.rb', line 441

class GenerationConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # The configuration for routing the request to a specific model.
  # @!attribute [rw] auto_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode]
  #     Automated routing.
  #
  #     Note: The following fields are mutually exclusive: `auto_mode`, `manual_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  # @!attribute [rw] manual_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::ManualRoutingMode]
  #     Manual routing.
  #
  #     Note: The following fields are mutually exclusive: `manual_mode`, `auto_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  class RoutingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # When automated routing is specified, the routing will be determined by
    # the pretrained routing model and customer provided model routing
    # preference.
    # @!attribute [rw] model_routing_preference
    #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode::ModelRoutingPreference]
    #     The model routing preference.
    class AutoRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods

      # The model routing preference.
      module ModelRoutingPreference
        # Unspecified model routing preference.
        UNKNOWN = 0

        # Prefer higher quality over low cost.
        PRIORITIZE_QUALITY = 1

        # Balanced model routing preference.
        BALANCED = 2

        # Prefer lower cost over higher quality.
        PRIORITIZE_COST = 3
      end
    end

    # When manual routing is set, the specified model will be used directly.
    # @!attribute [rw] model_name
    #   @return [::String]
    #     The model name to use. Only the public LLM models are accepted. e.g.
    #     'gemini-1.5-pro-001'.
    class ManualRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end
  end

  # Config for thinking features.
  # @!attribute [rw] include_thoughts
  #   @return [::Boolean]
  #     Indicates whether to include thoughts in the response.
  #     If true, thoughts are returned only when available.
  # @!attribute [rw] thinking_budget
  #   @return [::Integer]
  #     Optional. Indicates the thinking budget in tokens.
  #     This is only applied when enable_thinking is true.
  # @!attribute [rw] thinking_level
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::ThinkingConfig::ThinkingLevel]
  #     Optional. The number of thoughts tokens that the model should generate.
  class ThinkingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # The thinking level for the model.
    module ThinkingLevel
      # Unspecified thinking level.
      THINKING_LEVEL_UNSPECIFIED = 0

      # Low thinking level.
      LOW = 1

      # Medium thinking level.
      MEDIUM = 2

      # High thinking level.
      HIGH = 3

      # MINIMAL thinking level.
      MINIMAL = 4
    end
  end

  # The modalities of the response.
  module Modality
    # Unspecified modality. Will be processed as text.
    MODALITY_UNSPECIFIED = 0

    # Text modality.
    TEXT = 1

    # Image modality.
    IMAGE = 2

    # Audio modality.
    AUDIO = 3
  end

  # Media resolution for the input media.
  module MediaResolution
    # Media resolution has not been set.
    MEDIA_RESOLUTION_UNSPECIFIED = 0

    # Media resolution set to low (64 tokens).
    MEDIA_RESOLUTION_LOW = 1

    # Media resolution set to medium (256 tokens).
    MEDIA_RESOLUTION_MEDIUM = 2

    # Media resolution set to high (zoomed reframing with 256 tokens).
    MEDIA_RESOLUTION_HIGH = 3
  end
end

#presence_penalty ⇒ ::Float

Returns Optional. Positive penalties.

Returns:

• (::Float) —

  Optional. Positive penalties.

# File 'proto_docs/google/cloud/aiplatform/v1/content.rb', line 441

class GenerationConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # The configuration for routing the request to a specific model.
  # @!attribute [rw] auto_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode]
  #     Automated routing.
  #
  #     Note: The following fields are mutually exclusive: `auto_mode`, `manual_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  # @!attribute [rw] manual_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::ManualRoutingMode]
  #     Manual routing.
  #
  #     Note: The following fields are mutually exclusive: `manual_mode`, `auto_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  class RoutingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # When automated routing is specified, the routing will be determined by
    # the pretrained routing model and customer provided model routing
    # preference.
    # @!attribute [rw] model_routing_preference
    #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode::ModelRoutingPreference]
    #     The model routing preference.
    class AutoRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods

      # The model routing preference.
      module ModelRoutingPreference
        # Unspecified model routing preference.
        UNKNOWN = 0

        # Prefer higher quality over low cost.
        PRIORITIZE_QUALITY = 1

        # Balanced model routing preference.
        BALANCED = 2

        # Prefer lower cost over higher quality.
        PRIORITIZE_COST = 3
      end
    end

    # When manual routing is set, the specified model will be used directly.
    # @!attribute [rw] model_name
    #   @return [::String]
    #     The model name to use. Only the public LLM models are accepted. e.g.
    #     'gemini-1.5-pro-001'.
    class ManualRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end
  end

  # Config for thinking features.
  # @!attribute [rw] include_thoughts
  #   @return [::Boolean]
  #     Indicates whether to include thoughts in the response.
  #     If true, thoughts are returned only when available.
  # @!attribute [rw] thinking_budget
  #   @return [::Integer]
  #     Optional. Indicates the thinking budget in tokens.
  #     This is only applied when enable_thinking is true.
  # @!attribute [rw] thinking_level
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::ThinkingConfig::ThinkingLevel]
  #     Optional. The number of thoughts tokens that the model should generate.
  class ThinkingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # The thinking level for the model.
    module ThinkingLevel
      # Unspecified thinking level.
      THINKING_LEVEL_UNSPECIFIED = 0

      # Low thinking level.
      LOW = 1

      # Medium thinking level.
      MEDIUM = 2

      # High thinking level.
      HIGH = 3

      # MINIMAL thinking level.
      MINIMAL = 4
    end
  end

  # The modalities of the response.
  module Modality
    # Unspecified modality. Will be processed as text.
    MODALITY_UNSPECIFIED = 0

    # Text modality.
    TEXT = 1

    # Image modality.
    IMAGE = 2

    # Audio modality.
    AUDIO = 3
  end

  # Media resolution for the input media.
  module MediaResolution
    # Media resolution has not been set.
    MEDIA_RESOLUTION_UNSPECIFIED = 0

    # Media resolution set to low (64 tokens).
    MEDIA_RESOLUTION_LOW = 1

    # Media resolution set to medium (256 tokens).
    MEDIA_RESOLUTION_MEDIUM = 2

    # Media resolution set to high (zoomed reframing with 256 tokens).
    MEDIA_RESOLUTION_HIGH = 3
  end
end

#response_json_schema ⇒ ::Google::Protobuf::Value

Returns Optional. Output schema of the generated response. This is an alternative to response_schema that accepts JSON Schema.

If set, response_schema must be omitted, but response_mime_type is required.

While the full JSON Schema may be sent, not all features are supported. Specifically, only the following properties are supported:

• $id
• $defs
• $ref
• $anchor
• type
• format
• title
• description
• enum (for strings and numbers)
• items
• prefixItems
• minItems
• maxItems
• minimum
• maximum
• anyOf
• oneOf (interpreted the same as anyOf)
• properties
• additionalProperties
• required

The non-standard propertyOrdering property may also be set.

Cyclic references are unrolled to a limited degree and, as such, may only be used within non-required properties. (Nullable properties are not sufficient.) If $ref is set on a sub-schema, no other properties, except for than those starting as a $, may be set.

Returns:

• (::Google::Protobuf::Value) —

  Optional. Output schema of the generated response. This is an alternative to response_schema that accepts JSON Schema.

  If set, response_schema must be omitted, but response_mime_type is required.

  While the full JSON Schema may be sent, not all features are supported. Specifically, only the following properties are supported:

  • $id
  • $defs
  • $ref
  • $anchor
  • type
  • format
  • title
  • description
  • enum (for strings and numbers)
  • items
  • prefixItems
  • minItems
  • maxItems
  • minimum
  • maximum
  • anyOf
  • oneOf (interpreted the same as anyOf)
  • properties
  • additionalProperties
  • required

  The non-standard propertyOrdering property may also be set.

  Cyclic references are unrolled to a limited degree and, as such, may only be used within non-required properties. (Nullable properties are not sufficient.) If $ref is set on a sub-schema, no other properties, except for than those starting as a $, may be set.

# File 'proto_docs/google/cloud/aiplatform/v1/content.rb', line 441

class GenerationConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # The configuration for routing the request to a specific model.
  # @!attribute [rw] auto_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode]
  #     Automated routing.
  #
  #     Note: The following fields are mutually exclusive: `auto_mode`, `manual_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  # @!attribute [rw] manual_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::ManualRoutingMode]
  #     Manual routing.
  #
  #     Note: The following fields are mutually exclusive: `manual_mode`, `auto_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  class RoutingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # When automated routing is specified, the routing will be determined by
    # the pretrained routing model and customer provided model routing
    # preference.
    # @!attribute [rw] model_routing_preference
    #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode::ModelRoutingPreference]
    #     The model routing preference.
    class AutoRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods

      # The model routing preference.
      module ModelRoutingPreference
        # Unspecified model routing preference.
        UNKNOWN = 0

        # Prefer higher quality over low cost.
        PRIORITIZE_QUALITY = 1

        # Balanced model routing preference.
        BALANCED = 2

        # Prefer lower cost over higher quality.
        PRIORITIZE_COST = 3
      end
    end

    # When manual routing is set, the specified model will be used directly.
    # @!attribute [rw] model_name
    #   @return [::String]
    #     The model name to use. Only the public LLM models are accepted. e.g.
    #     'gemini-1.5-pro-001'.
    class ManualRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end
  end

  # Config for thinking features.
  # @!attribute [rw] include_thoughts
  #   @return [::Boolean]
  #     Indicates whether to include thoughts in the response.
  #     If true, thoughts are returned only when available.
  # @!attribute [rw] thinking_budget
  #   @return [::Integer]
  #     Optional. Indicates the thinking budget in tokens.
  #     This is only applied when enable_thinking is true.
  # @!attribute [rw] thinking_level
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::ThinkingConfig::ThinkingLevel]
  #     Optional. The number of thoughts tokens that the model should generate.
  class ThinkingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # The thinking level for the model.
    module ThinkingLevel
      # Unspecified thinking level.
      THINKING_LEVEL_UNSPECIFIED = 0

      # Low thinking level.
      LOW = 1

      # Medium thinking level.
      MEDIUM = 2

      # High thinking level.
      HIGH = 3

      # MINIMAL thinking level.
      MINIMAL = 4
    end
  end

  # The modalities of the response.
  module Modality
    # Unspecified modality. Will be processed as text.
    MODALITY_UNSPECIFIED = 0

    # Text modality.
    TEXT = 1

    # Image modality.
    IMAGE = 2

    # Audio modality.
    AUDIO = 3
  end

  # Media resolution for the input media.
  module MediaResolution
    # Media resolution has not been set.
    MEDIA_RESOLUTION_UNSPECIFIED = 0

    # Media resolution set to low (64 tokens).
    MEDIA_RESOLUTION_LOW = 1

    # Media resolution set to medium (256 tokens).
    MEDIA_RESOLUTION_MEDIUM = 2

    # Media resolution set to high (zoomed reframing with 256 tokens).
    MEDIA_RESOLUTION_HIGH = 3
  end
end

#response_logprobs ⇒ ::Boolean

Returns Optional. If true, export the logprobs results in response.

Returns:

• (::Boolean) —

  Optional. If true, export the logprobs results in response.

# File 'proto_docs/google/cloud/aiplatform/v1/content.rb', line 441

class GenerationConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # The configuration for routing the request to a specific model.
  # @!attribute [rw] auto_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode]
  #     Automated routing.
  #
  #     Note: The following fields are mutually exclusive: `auto_mode`, `manual_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  # @!attribute [rw] manual_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::ManualRoutingMode]
  #     Manual routing.
  #
  #     Note: The following fields are mutually exclusive: `manual_mode`, `auto_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  class RoutingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # When automated routing is specified, the routing will be determined by
    # the pretrained routing model and customer provided model routing
    # preference.
    # @!attribute [rw] model_routing_preference
    #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode::ModelRoutingPreference]
    #     The model routing preference.
    class AutoRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods

      # The model routing preference.
      module ModelRoutingPreference
        # Unspecified model routing preference.
        UNKNOWN = 0

        # Prefer higher quality over low cost.
        PRIORITIZE_QUALITY = 1

        # Balanced model routing preference.
        BALANCED = 2

        # Prefer lower cost over higher quality.
        PRIORITIZE_COST = 3
      end
    end

    # When manual routing is set, the specified model will be used directly.
    # @!attribute [rw] model_name
    #   @return [::String]
    #     The model name to use. Only the public LLM models are accepted. e.g.
    #     'gemini-1.5-pro-001'.
    class ManualRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end
  end

  # Config for thinking features.
  # @!attribute [rw] include_thoughts
  #   @return [::Boolean]
  #     Indicates whether to include thoughts in the response.
  #     If true, thoughts are returned only when available.
  # @!attribute [rw] thinking_budget
  #   @return [::Integer]
  #     Optional. Indicates the thinking budget in tokens.
  #     This is only applied when enable_thinking is true.
  # @!attribute [rw] thinking_level
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::ThinkingConfig::ThinkingLevel]
  #     Optional. The number of thoughts tokens that the model should generate.
  class ThinkingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # The thinking level for the model.
    module ThinkingLevel
      # Unspecified thinking level.
      THINKING_LEVEL_UNSPECIFIED = 0

      # Low thinking level.
      LOW = 1

      # Medium thinking level.
      MEDIUM = 2

      # High thinking level.
      HIGH = 3

      # MINIMAL thinking level.
      MINIMAL = 4
    end
  end

  # The modalities of the response.
  module Modality
    # Unspecified modality. Will be processed as text.
    MODALITY_UNSPECIFIED = 0

    # Text modality.
    TEXT = 1

    # Image modality.
    IMAGE = 2

    # Audio modality.
    AUDIO = 3
  end

  # Media resolution for the input media.
  module MediaResolution
    # Media resolution has not been set.
    MEDIA_RESOLUTION_UNSPECIFIED = 0

    # Media resolution set to low (64 tokens).
    MEDIA_RESOLUTION_LOW = 1

    # Media resolution set to medium (256 tokens).
    MEDIA_RESOLUTION_MEDIUM = 2

    # Media resolution set to high (zoomed reframing with 256 tokens).
    MEDIA_RESOLUTION_HIGH = 3
  end
end

#response_mime_type ⇒ ::String

Returns Optional. Output response mimetype of the generated candidate text. Supported mimetype:

• text/plain: (default) Text output.
• application/json: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.

Returns:

• (::String) —

  Optional. Output response mimetype of the generated candidate text. Supported mimetype:

  • text/plain: (default) Text output.
  • application/json: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.

# File 'proto_docs/google/cloud/aiplatform/v1/content.rb', line 441

class GenerationConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # The configuration for routing the request to a specific model.
  # @!attribute [rw] auto_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode]
  #     Automated routing.
  #
  #     Note: The following fields are mutually exclusive: `auto_mode`, `manual_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  # @!attribute [rw] manual_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::ManualRoutingMode]
  #     Manual routing.
  #
  #     Note: The following fields are mutually exclusive: `manual_mode`, `auto_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  class RoutingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # When automated routing is specified, the routing will be determined by
    # the pretrained routing model and customer provided model routing
    # preference.
    # @!attribute [rw] model_routing_preference
    #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode::ModelRoutingPreference]
    #     The model routing preference.
    class AutoRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods

      # The model routing preference.
      module ModelRoutingPreference
        # Unspecified model routing preference.
        UNKNOWN = 0

        # Prefer higher quality over low cost.
        PRIORITIZE_QUALITY = 1

        # Balanced model routing preference.
        BALANCED = 2

        # Prefer lower cost over higher quality.
        PRIORITIZE_COST = 3
      end
    end

    # When manual routing is set, the specified model will be used directly.
    # @!attribute [rw] model_name
    #   @return [::String]
    #     The model name to use. Only the public LLM models are accepted. e.g.
    #     'gemini-1.5-pro-001'.
    class ManualRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end
  end

  # Config for thinking features.
  # @!attribute [rw] include_thoughts
  #   @return [::Boolean]
  #     Indicates whether to include thoughts in the response.
  #     If true, thoughts are returned only when available.
  # @!attribute [rw] thinking_budget
  #   @return [::Integer]
  #     Optional. Indicates the thinking budget in tokens.
  #     This is only applied when enable_thinking is true.
  # @!attribute [rw] thinking_level
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::ThinkingConfig::ThinkingLevel]
  #     Optional. The number of thoughts tokens that the model should generate.
  class ThinkingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # The thinking level for the model.
    module ThinkingLevel
      # Unspecified thinking level.
      THINKING_LEVEL_UNSPECIFIED = 0

      # Low thinking level.
      LOW = 1

      # Medium thinking level.
      MEDIUM = 2

      # High thinking level.
      HIGH = 3

      # MINIMAL thinking level.
      MINIMAL = 4
    end
  end

  # The modalities of the response.
  module Modality
    # Unspecified modality. Will be processed as text.
    MODALITY_UNSPECIFIED = 0

    # Text modality.
    TEXT = 1

    # Image modality.
    IMAGE = 2

    # Audio modality.
    AUDIO = 3
  end

  # Media resolution for the input media.
  module MediaResolution
    # Media resolution has not been set.
    MEDIA_RESOLUTION_UNSPECIFIED = 0

    # Media resolution set to low (64 tokens).
    MEDIA_RESOLUTION_LOW = 1

    # Media resolution set to medium (256 tokens).
    MEDIA_RESOLUTION_MEDIUM = 2

    # Media resolution set to high (zoomed reframing with 256 tokens).
    MEDIA_RESOLUTION_HIGH = 3
  end
end

#response_modalities ⇒ ::Array<::Google::Cloud::AIPlatform::V1::GenerationConfig::Modality>

Returns Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to [TEXT, IMAGE], the response will include both text and an image.

Returns:

• (::Array<::Google::Cloud::AIPlatform::V1::GenerationConfig::Modality>) —

  Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to [TEXT, IMAGE], the response will include both text and an image.

# File 'proto_docs/google/cloud/aiplatform/v1/content.rb', line 441

class GenerationConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # The configuration for routing the request to a specific model.
  # @!attribute [rw] auto_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode]
  #     Automated routing.
  #
  #     Note: The following fields are mutually exclusive: `auto_mode`, `manual_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  # @!attribute [rw] manual_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::ManualRoutingMode]
  #     Manual routing.
  #
  #     Note: The following fields are mutually exclusive: `manual_mode`, `auto_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  class RoutingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # When automated routing is specified, the routing will be determined by
    # the pretrained routing model and customer provided model routing
    # preference.
    # @!attribute [rw] model_routing_preference
    #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode::ModelRoutingPreference]
    #     The model routing preference.
    class AutoRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods

      # The model routing preference.
      module ModelRoutingPreference
        # Unspecified model routing preference.
        UNKNOWN = 0

        # Prefer higher quality over low cost.
        PRIORITIZE_QUALITY = 1

        # Balanced model routing preference.
        BALANCED = 2

        # Prefer lower cost over higher quality.
        PRIORITIZE_COST = 3
      end
    end

    # When manual routing is set, the specified model will be used directly.
    # @!attribute [rw] model_name
    #   @return [::String]
    #     The model name to use. Only the public LLM models are accepted. e.g.
    #     'gemini-1.5-pro-001'.
    class ManualRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end
  end

  # Config for thinking features.
  # @!attribute [rw] include_thoughts
  #   @return [::Boolean]
  #     Indicates whether to include thoughts in the response.
  #     If true, thoughts are returned only when available.
  # @!attribute [rw] thinking_budget
  #   @return [::Integer]
  #     Optional. Indicates the thinking budget in tokens.
  #     This is only applied when enable_thinking is true.
  # @!attribute [rw] thinking_level
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::ThinkingConfig::ThinkingLevel]
  #     Optional. The number of thoughts tokens that the model should generate.
  class ThinkingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # The thinking level for the model.
    module ThinkingLevel
      # Unspecified thinking level.
      THINKING_LEVEL_UNSPECIFIED = 0

      # Low thinking level.
      LOW = 1

      # Medium thinking level.
      MEDIUM = 2

      # High thinking level.
      HIGH = 3

      # MINIMAL thinking level.
      MINIMAL = 4
    end
  end

  # The modalities of the response.
  module Modality
    # Unspecified modality. Will be processed as text.
    MODALITY_UNSPECIFIED = 0

    # Text modality.
    TEXT = 1

    # Image modality.
    IMAGE = 2

    # Audio modality.
    AUDIO = 3
  end

  # Media resolution for the input media.
  module MediaResolution
    # Media resolution has not been set.
    MEDIA_RESOLUTION_UNSPECIFIED = 0

    # Media resolution set to low (64 tokens).
    MEDIA_RESOLUTION_LOW = 1

    # Media resolution set to medium (256 tokens).
    MEDIA_RESOLUTION_MEDIUM = 2

    # Media resolution set to high (zoomed reframing with 256 tokens).
    MEDIA_RESOLUTION_HIGH = 3
  end
end

#response_schema ⇒ ::Google::Cloud::AIPlatform::V1::Schema

Returns Optional. The Schema object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an OpenAPI 3.0 schema object. If set, a compatible response_mime_type must also be set. Compatible mimetypes: application/json: Schema for JSON response.

Returns:

• (::Google::Cloud::AIPlatform::V1::Schema) —

  Optional. The Schema object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an OpenAPI 3.0 schema object. If set, a compatible response_mime_type must also be set. Compatible mimetypes: application/json: Schema for JSON response.

# File 'proto_docs/google/cloud/aiplatform/v1/content.rb', line 441

class GenerationConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # The configuration for routing the request to a specific model.
  # @!attribute [rw] auto_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode]
  #     Automated routing.
  #
  #     Note: The following fields are mutually exclusive: `auto_mode`, `manual_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  # @!attribute [rw] manual_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::ManualRoutingMode]
  #     Manual routing.
  #
  #     Note: The following fields are mutually exclusive: `manual_mode`, `auto_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  class RoutingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # When automated routing is specified, the routing will be determined by
    # the pretrained routing model and customer provided model routing
    # preference.
    # @!attribute [rw] model_routing_preference
    #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode::ModelRoutingPreference]
    #     The model routing preference.
    class AutoRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods

      # The model routing preference.
      module ModelRoutingPreference
        # Unspecified model routing preference.
        UNKNOWN = 0

        # Prefer higher quality over low cost.
        PRIORITIZE_QUALITY = 1

        # Balanced model routing preference.
        BALANCED = 2

        # Prefer lower cost over higher quality.
        PRIORITIZE_COST = 3
      end
    end

    # When manual routing is set, the specified model will be used directly.
    # @!attribute [rw] model_name
    #   @return [::String]
    #     The model name to use. Only the public LLM models are accepted. e.g.
    #     'gemini-1.5-pro-001'.
    class ManualRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end
  end

  # Config for thinking features.
  # @!attribute [rw] include_thoughts
  #   @return [::Boolean]
  #     Indicates whether to include thoughts in the response.
  #     If true, thoughts are returned only when available.
  # @!attribute [rw] thinking_budget
  #   @return [::Integer]
  #     Optional. Indicates the thinking budget in tokens.
  #     This is only applied when enable_thinking is true.
  # @!attribute [rw] thinking_level
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::ThinkingConfig::ThinkingLevel]
  #     Optional. The number of thoughts tokens that the model should generate.
  class ThinkingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # The thinking level for the model.
    module ThinkingLevel
      # Unspecified thinking level.
      THINKING_LEVEL_UNSPECIFIED = 0

      # Low thinking level.
      LOW = 1

      # Medium thinking level.
      MEDIUM = 2

      # High thinking level.
      HIGH = 3

      # MINIMAL thinking level.
      MINIMAL = 4
    end
  end

  # The modalities of the response.
  module Modality
    # Unspecified modality. Will be processed as text.
    MODALITY_UNSPECIFIED = 0

    # Text modality.
    TEXT = 1

    # Image modality.
    IMAGE = 2

    # Audio modality.
    AUDIO = 3
  end

  # Media resolution for the input media.
  module MediaResolution
    # Media resolution has not been set.
    MEDIA_RESOLUTION_UNSPECIFIED = 0

    # Media resolution set to low (64 tokens).
    MEDIA_RESOLUTION_LOW = 1

    # Media resolution set to medium (256 tokens).
    MEDIA_RESOLUTION_MEDIUM = 2

    # Media resolution set to high (zoomed reframing with 256 tokens).
    MEDIA_RESOLUTION_HIGH = 3
  end
end

#routing_config ⇒ ::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig

Returns Optional. Routing configuration.

Returns:

• (::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig) —

  Optional. Routing configuration.

# File 'proto_docs/google/cloud/aiplatform/v1/content.rb', line 441

class GenerationConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # The configuration for routing the request to a specific model.
  # @!attribute [rw] auto_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode]
  #     Automated routing.
  #
  #     Note: The following fields are mutually exclusive: `auto_mode`, `manual_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  # @!attribute [rw] manual_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::ManualRoutingMode]
  #     Manual routing.
  #
  #     Note: The following fields are mutually exclusive: `manual_mode`, `auto_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  class RoutingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # When automated routing is specified, the routing will be determined by
    # the pretrained routing model and customer provided model routing
    # preference.
    # @!attribute [rw] model_routing_preference
    #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode::ModelRoutingPreference]
    #     The model routing preference.
    class AutoRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods

      # The model routing preference.
      module ModelRoutingPreference
        # Unspecified model routing preference.
        UNKNOWN = 0

        # Prefer higher quality over low cost.
        PRIORITIZE_QUALITY = 1

        # Balanced model routing preference.
        BALANCED = 2

        # Prefer lower cost over higher quality.
        PRIORITIZE_COST = 3
      end
    end

    # When manual routing is set, the specified model will be used directly.
    # @!attribute [rw] model_name
    #   @return [::String]
    #     The model name to use. Only the public LLM models are accepted. e.g.
    #     'gemini-1.5-pro-001'.
    class ManualRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end
  end

  # Config for thinking features.
  # @!attribute [rw] include_thoughts
  #   @return [::Boolean]
  #     Indicates whether to include thoughts in the response.
  #     If true, thoughts are returned only when available.
  # @!attribute [rw] thinking_budget
  #   @return [::Integer]
  #     Optional. Indicates the thinking budget in tokens.
  #     This is only applied when enable_thinking is true.
  # @!attribute [rw] thinking_level
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::ThinkingConfig::ThinkingLevel]
  #     Optional. The number of thoughts tokens that the model should generate.
  class ThinkingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # The thinking level for the model.
    module ThinkingLevel
      # Unspecified thinking level.
      THINKING_LEVEL_UNSPECIFIED = 0

      # Low thinking level.
      LOW = 1

      # Medium thinking level.
      MEDIUM = 2

      # High thinking level.
      HIGH = 3

      # MINIMAL thinking level.
      MINIMAL = 4
    end
  end

  # The modalities of the response.
  module Modality
    # Unspecified modality. Will be processed as text.
    MODALITY_UNSPECIFIED = 0

    # Text modality.
    TEXT = 1

    # Image modality.
    IMAGE = 2

    # Audio modality.
    AUDIO = 3
  end

  # Media resolution for the input media.
  module MediaResolution
    # Media resolution has not been set.
    MEDIA_RESOLUTION_UNSPECIFIED = 0

    # Media resolution set to low (64 tokens).
    MEDIA_RESOLUTION_LOW = 1

    # Media resolution set to medium (256 tokens).
    MEDIA_RESOLUTION_MEDIUM = 2

    # Media resolution set to high (zoomed reframing with 256 tokens).
    MEDIA_RESOLUTION_HIGH = 3
  end
end

#seed ⇒ ::Integer

Returns Optional. Seed.

Returns:

• (::Integer) —

  Optional. Seed.

# File 'proto_docs/google/cloud/aiplatform/v1/content.rb', line 441

class GenerationConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # The configuration for routing the request to a specific model.
  # @!attribute [rw] auto_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode]
  #     Automated routing.
  #
  #     Note: The following fields are mutually exclusive: `auto_mode`, `manual_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  # @!attribute [rw] manual_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::ManualRoutingMode]
  #     Manual routing.
  #
  #     Note: The following fields are mutually exclusive: `manual_mode`, `auto_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  class RoutingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # When automated routing is specified, the routing will be determined by
    # the pretrained routing model and customer provided model routing
    # preference.
    # @!attribute [rw] model_routing_preference
    #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode::ModelRoutingPreference]
    #     The model routing preference.
    class AutoRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods

      # The model routing preference.
      module ModelRoutingPreference
        # Unspecified model routing preference.
        UNKNOWN = 0

        # Prefer higher quality over low cost.
        PRIORITIZE_QUALITY = 1

        # Balanced model routing preference.
        BALANCED = 2

        # Prefer lower cost over higher quality.
        PRIORITIZE_COST = 3
      end
    end

    # When manual routing is set, the specified model will be used directly.
    # @!attribute [rw] model_name
    #   @return [::String]
    #     The model name to use. Only the public LLM models are accepted. e.g.
    #     'gemini-1.5-pro-001'.
    class ManualRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end
  end

  # Config for thinking features.
  # @!attribute [rw] include_thoughts
  #   @return [::Boolean]
  #     Indicates whether to include thoughts in the response.
  #     If true, thoughts are returned only when available.
  # @!attribute [rw] thinking_budget
  #   @return [::Integer]
  #     Optional. Indicates the thinking budget in tokens.
  #     This is only applied when enable_thinking is true.
  # @!attribute [rw] thinking_level
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::ThinkingConfig::ThinkingLevel]
  #     Optional. The number of thoughts tokens that the model should generate.
  class ThinkingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # The thinking level for the model.
    module ThinkingLevel
      # Unspecified thinking level.
      THINKING_LEVEL_UNSPECIFIED = 0

      # Low thinking level.
      LOW = 1

      # Medium thinking level.
      MEDIUM = 2

      # High thinking level.
      HIGH = 3

      # MINIMAL thinking level.
      MINIMAL = 4
    end
  end

  # The modalities of the response.
  module Modality
    # Unspecified modality. Will be processed as text.
    MODALITY_UNSPECIFIED = 0

    # Text modality.
    TEXT = 1

    # Image modality.
    IMAGE = 2

    # Audio modality.
    AUDIO = 3
  end

  # Media resolution for the input media.
  module MediaResolution
    # Media resolution has not been set.
    MEDIA_RESOLUTION_UNSPECIFIED = 0

    # Media resolution set to low (64 tokens).
    MEDIA_RESOLUTION_LOW = 1

    # Media resolution set to medium (256 tokens).
    MEDIA_RESOLUTION_MEDIUM = 2

    # Media resolution set to high (zoomed reframing with 256 tokens).
    MEDIA_RESOLUTION_HIGH = 3
  end
end

#speech_config ⇒ ::Google::Cloud::AIPlatform::V1::SpeechConfig

Returns Optional. The speech generation config.

Returns:

• (::Google::Cloud::AIPlatform::V1::SpeechConfig) —

  Optional. The speech generation config.

# File 'proto_docs/google/cloud/aiplatform/v1/content.rb', line 441

class GenerationConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # The configuration for routing the request to a specific model.
  # @!attribute [rw] auto_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode]
  #     Automated routing.
  #
  #     Note: The following fields are mutually exclusive: `auto_mode`, `manual_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  # @!attribute [rw] manual_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::ManualRoutingMode]
  #     Manual routing.
  #
  #     Note: The following fields are mutually exclusive: `manual_mode`, `auto_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  class RoutingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # When automated routing is specified, the routing will be determined by
    # the pretrained routing model and customer provided model routing
    # preference.
    # @!attribute [rw] model_routing_preference
    #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode::ModelRoutingPreference]
    #     The model routing preference.
    class AutoRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods

      # The model routing preference.
      module ModelRoutingPreference
        # Unspecified model routing preference.
        UNKNOWN = 0

        # Prefer higher quality over low cost.
        PRIORITIZE_QUALITY = 1

        # Balanced model routing preference.
        BALANCED = 2

        # Prefer lower cost over higher quality.
        PRIORITIZE_COST = 3
      end
    end

    # When manual routing is set, the specified model will be used directly.
    # @!attribute [rw] model_name
    #   @return [::String]
    #     The model name to use. Only the public LLM models are accepted. e.g.
    #     'gemini-1.5-pro-001'.
    class ManualRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end
  end

  # Config for thinking features.
  # @!attribute [rw] include_thoughts
  #   @return [::Boolean]
  #     Indicates whether to include thoughts in the response.
  #     If true, thoughts are returned only when available.
  # @!attribute [rw] thinking_budget
  #   @return [::Integer]
  #     Optional. Indicates the thinking budget in tokens.
  #     This is only applied when enable_thinking is true.
  # @!attribute [rw] thinking_level
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::ThinkingConfig::ThinkingLevel]
  #     Optional. The number of thoughts tokens that the model should generate.
  class ThinkingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # The thinking level for the model.
    module ThinkingLevel
      # Unspecified thinking level.
      THINKING_LEVEL_UNSPECIFIED = 0

      # Low thinking level.
      LOW = 1

      # Medium thinking level.
      MEDIUM = 2

      # High thinking level.
      HIGH = 3

      # MINIMAL thinking level.
      MINIMAL = 4
    end
  end

  # The modalities of the response.
  module Modality
    # Unspecified modality. Will be processed as text.
    MODALITY_UNSPECIFIED = 0

    # Text modality.
    TEXT = 1

    # Image modality.
    IMAGE = 2

    # Audio modality.
    AUDIO = 3
  end

  # Media resolution for the input media.
  module MediaResolution
    # Media resolution has not been set.
    MEDIA_RESOLUTION_UNSPECIFIED = 0

    # Media resolution set to low (64 tokens).
    MEDIA_RESOLUTION_LOW = 1

    # Media resolution set to medium (256 tokens).
    MEDIA_RESOLUTION_MEDIUM = 2

    # Media resolution set to high (zoomed reframing with 256 tokens).
    MEDIA_RESOLUTION_HIGH = 3
  end
end

#stop_sequences ⇒ ::Array<::String>

Returns Optional. Stop sequences.

Returns:

• (::Array<::String>) —

  Optional. Stop sequences.

# File 'proto_docs/google/cloud/aiplatform/v1/content.rb', line 441

class GenerationConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # The configuration for routing the request to a specific model.
  # @!attribute [rw] auto_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode]
  #     Automated routing.
  #
  #     Note: The following fields are mutually exclusive: `auto_mode`, `manual_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  # @!attribute [rw] manual_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::ManualRoutingMode]
  #     Manual routing.
  #
  #     Note: The following fields are mutually exclusive: `manual_mode`, `auto_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  class RoutingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # When automated routing is specified, the routing will be determined by
    # the pretrained routing model and customer provided model routing
    # preference.
    # @!attribute [rw] model_routing_preference
    #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode::ModelRoutingPreference]
    #     The model routing preference.
    class AutoRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods

      # The model routing preference.
      module ModelRoutingPreference
        # Unspecified model routing preference.
        UNKNOWN = 0

        # Prefer higher quality over low cost.
        PRIORITIZE_QUALITY = 1

        # Balanced model routing preference.
        BALANCED = 2

        # Prefer lower cost over higher quality.
        PRIORITIZE_COST = 3
      end
    end

    # When manual routing is set, the specified model will be used directly.
    # @!attribute [rw] model_name
    #   @return [::String]
    #     The model name to use. Only the public LLM models are accepted. e.g.
    #     'gemini-1.5-pro-001'.
    class ManualRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end
  end

  # Config for thinking features.
  # @!attribute [rw] include_thoughts
  #   @return [::Boolean]
  #     Indicates whether to include thoughts in the response.
  #     If true, thoughts are returned only when available.
  # @!attribute [rw] thinking_budget
  #   @return [::Integer]
  #     Optional. Indicates the thinking budget in tokens.
  #     This is only applied when enable_thinking is true.
  # @!attribute [rw] thinking_level
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::ThinkingConfig::ThinkingLevel]
  #     Optional. The number of thoughts tokens that the model should generate.
  class ThinkingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # The thinking level for the model.
    module ThinkingLevel
      # Unspecified thinking level.
      THINKING_LEVEL_UNSPECIFIED = 0

      # Low thinking level.
      LOW = 1

      # Medium thinking level.
      MEDIUM = 2

      # High thinking level.
      HIGH = 3

      # MINIMAL thinking level.
      MINIMAL = 4
    end
  end

  # The modalities of the response.
  module Modality
    # Unspecified modality. Will be processed as text.
    MODALITY_UNSPECIFIED = 0

    # Text modality.
    TEXT = 1

    # Image modality.
    IMAGE = 2

    # Audio modality.
    AUDIO = 3
  end

  # Media resolution for the input media.
  module MediaResolution
    # Media resolution has not been set.
    MEDIA_RESOLUTION_UNSPECIFIED = 0

    # Media resolution set to low (64 tokens).
    MEDIA_RESOLUTION_LOW = 1

    # Media resolution set to medium (256 tokens).
    MEDIA_RESOLUTION_MEDIUM = 2

    # Media resolution set to high (zoomed reframing with 256 tokens).
    MEDIA_RESOLUTION_HIGH = 3
  end
end

#temperature ⇒ ::Float

Returns Optional. Controls the randomness of predictions.

Returns:

• (::Float) —

  Optional. Controls the randomness of predictions.

# File 'proto_docs/google/cloud/aiplatform/v1/content.rb', line 441

class GenerationConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # The configuration for routing the request to a specific model.
  # @!attribute [rw] auto_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode]
  #     Automated routing.
  #
  #     Note: The following fields are mutually exclusive: `auto_mode`, `manual_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  # @!attribute [rw] manual_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::ManualRoutingMode]
  #     Manual routing.
  #
  #     Note: The following fields are mutually exclusive: `manual_mode`, `auto_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  class RoutingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # When automated routing is specified, the routing will be determined by
    # the pretrained routing model and customer provided model routing
    # preference.
    # @!attribute [rw] model_routing_preference
    #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode::ModelRoutingPreference]
    #     The model routing preference.
    class AutoRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods

      # The model routing preference.
      module ModelRoutingPreference
        # Unspecified model routing preference.
        UNKNOWN = 0

        # Prefer higher quality over low cost.
        PRIORITIZE_QUALITY = 1

        # Balanced model routing preference.
        BALANCED = 2

        # Prefer lower cost over higher quality.
        PRIORITIZE_COST = 3
      end
    end

    # When manual routing is set, the specified model will be used directly.
    # @!attribute [rw] model_name
    #   @return [::String]
    #     The model name to use. Only the public LLM models are accepted. e.g.
    #     'gemini-1.5-pro-001'.
    class ManualRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end
  end

  # Config for thinking features.
  # @!attribute [rw] include_thoughts
  #   @return [::Boolean]
  #     Indicates whether to include thoughts in the response.
  #     If true, thoughts are returned only when available.
  # @!attribute [rw] thinking_budget
  #   @return [::Integer]
  #     Optional. Indicates the thinking budget in tokens.
  #     This is only applied when enable_thinking is true.
  # @!attribute [rw] thinking_level
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::ThinkingConfig::ThinkingLevel]
  #     Optional. The number of thoughts tokens that the model should generate.
  class ThinkingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # The thinking level for the model.
    module ThinkingLevel
      # Unspecified thinking level.
      THINKING_LEVEL_UNSPECIFIED = 0

      # Low thinking level.
      LOW = 1

      # Medium thinking level.
      MEDIUM = 2

      # High thinking level.
      HIGH = 3

      # MINIMAL thinking level.
      MINIMAL = 4
    end
  end

  # The modalities of the response.
  module Modality
    # Unspecified modality. Will be processed as text.
    MODALITY_UNSPECIFIED = 0

    # Text modality.
    TEXT = 1

    # Image modality.
    IMAGE = 2

    # Audio modality.
    AUDIO = 3
  end

  # Media resolution for the input media.
  module MediaResolution
    # Media resolution has not been set.
    MEDIA_RESOLUTION_UNSPECIFIED = 0

    # Media resolution set to low (64 tokens).
    MEDIA_RESOLUTION_LOW = 1

    # Media resolution set to medium (256 tokens).
    MEDIA_RESOLUTION_MEDIUM = 2

    # Media resolution set to high (zoomed reframing with 256 tokens).
    MEDIA_RESOLUTION_HIGH = 3
  end
end

#thinking_config ⇒ ::Google::Cloud::AIPlatform::V1::GenerationConfig::ThinkingConfig

Returns Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking.

Returns:

• (::Google::Cloud::AIPlatform::V1::GenerationConfig::ThinkingConfig) —

  Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking.

# File 'proto_docs/google/cloud/aiplatform/v1/content.rb', line 441

class GenerationConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # The configuration for routing the request to a specific model.
  # @!attribute [rw] auto_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode]
  #     Automated routing.
  #
  #     Note: The following fields are mutually exclusive: `auto_mode`, `manual_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  # @!attribute [rw] manual_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::ManualRoutingMode]
  #     Manual routing.
  #
  #     Note: The following fields are mutually exclusive: `manual_mode`, `auto_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  class RoutingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # When automated routing is specified, the routing will be determined by
    # the pretrained routing model and customer provided model routing
    # preference.
    # @!attribute [rw] model_routing_preference
    #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode::ModelRoutingPreference]
    #     The model routing preference.
    class AutoRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods

      # The model routing preference.
      module ModelRoutingPreference
        # Unspecified model routing preference.
        UNKNOWN = 0

        # Prefer higher quality over low cost.
        PRIORITIZE_QUALITY = 1

        # Balanced model routing preference.
        BALANCED = 2

        # Prefer lower cost over higher quality.
        PRIORITIZE_COST = 3
      end
    end

    # When manual routing is set, the specified model will be used directly.
    # @!attribute [rw] model_name
    #   @return [::String]
    #     The model name to use. Only the public LLM models are accepted. e.g.
    #     'gemini-1.5-pro-001'.
    class ManualRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end
  end

  # Config for thinking features.
  # @!attribute [rw] include_thoughts
  #   @return [::Boolean]
  #     Indicates whether to include thoughts in the response.
  #     If true, thoughts are returned only when available.
  # @!attribute [rw] thinking_budget
  #   @return [::Integer]
  #     Optional. Indicates the thinking budget in tokens.
  #     This is only applied when enable_thinking is true.
  # @!attribute [rw] thinking_level
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::ThinkingConfig::ThinkingLevel]
  #     Optional. The number of thoughts tokens that the model should generate.
  class ThinkingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # The thinking level for the model.
    module ThinkingLevel
      # Unspecified thinking level.
      THINKING_LEVEL_UNSPECIFIED = 0

      # Low thinking level.
      LOW = 1

      # Medium thinking level.
      MEDIUM = 2

      # High thinking level.
      HIGH = 3

      # MINIMAL thinking level.
      MINIMAL = 4
    end
  end

  # The modalities of the response.
  module Modality
    # Unspecified modality. Will be processed as text.
    MODALITY_UNSPECIFIED = 0

    # Text modality.
    TEXT = 1

    # Image modality.
    IMAGE = 2

    # Audio modality.
    AUDIO = 3
  end

  # Media resolution for the input media.
  module MediaResolution
    # Media resolution has not been set.
    MEDIA_RESOLUTION_UNSPECIFIED = 0

    # Media resolution set to low (64 tokens).
    MEDIA_RESOLUTION_LOW = 1

    # Media resolution set to medium (256 tokens).
    MEDIA_RESOLUTION_MEDIUM = 2

    # Media resolution set to high (zoomed reframing with 256 tokens).
    MEDIA_RESOLUTION_HIGH = 3
  end
end

#top_k ⇒ ::Float

Returns Optional. If specified, top-k sampling will be used.

Returns:

• (::Float) —

  Optional. If specified, top-k sampling will be used.

# File 'proto_docs/google/cloud/aiplatform/v1/content.rb', line 441

class GenerationConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # The configuration for routing the request to a specific model.
  # @!attribute [rw] auto_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode]
  #     Automated routing.
  #
  #     Note: The following fields are mutually exclusive: `auto_mode`, `manual_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  # @!attribute [rw] manual_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::ManualRoutingMode]
  #     Manual routing.
  #
  #     Note: The following fields are mutually exclusive: `manual_mode`, `auto_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  class RoutingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # When automated routing is specified, the routing will be determined by
    # the pretrained routing model and customer provided model routing
    # preference.
    # @!attribute [rw] model_routing_preference
    #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode::ModelRoutingPreference]
    #     The model routing preference.
    class AutoRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods

      # The model routing preference.
      module ModelRoutingPreference
        # Unspecified model routing preference.
        UNKNOWN = 0

        # Prefer higher quality over low cost.
        PRIORITIZE_QUALITY = 1

        # Balanced model routing preference.
        BALANCED = 2

        # Prefer lower cost over higher quality.
        PRIORITIZE_COST = 3
      end
    end

    # When manual routing is set, the specified model will be used directly.
    # @!attribute [rw] model_name
    #   @return [::String]
    #     The model name to use. Only the public LLM models are accepted. e.g.
    #     'gemini-1.5-pro-001'.
    class ManualRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end
  end

  # Config for thinking features.
  # @!attribute [rw] include_thoughts
  #   @return [::Boolean]
  #     Indicates whether to include thoughts in the response.
  #     If true, thoughts are returned only when available.
  # @!attribute [rw] thinking_budget
  #   @return [::Integer]
  #     Optional. Indicates the thinking budget in tokens.
  #     This is only applied when enable_thinking is true.
  # @!attribute [rw] thinking_level
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::ThinkingConfig::ThinkingLevel]
  #     Optional. The number of thoughts tokens that the model should generate.
  class ThinkingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # The thinking level for the model.
    module ThinkingLevel
      # Unspecified thinking level.
      THINKING_LEVEL_UNSPECIFIED = 0

      # Low thinking level.
      LOW = 1

      # Medium thinking level.
      MEDIUM = 2

      # High thinking level.
      HIGH = 3

      # MINIMAL thinking level.
      MINIMAL = 4
    end
  end

  # The modalities of the response.
  module Modality
    # Unspecified modality. Will be processed as text.
    MODALITY_UNSPECIFIED = 0

    # Text modality.
    TEXT = 1

    # Image modality.
    IMAGE = 2

    # Audio modality.
    AUDIO = 3
  end

  # Media resolution for the input media.
  module MediaResolution
    # Media resolution has not been set.
    MEDIA_RESOLUTION_UNSPECIFIED = 0

    # Media resolution set to low (64 tokens).
    MEDIA_RESOLUTION_LOW = 1

    # Media resolution set to medium (256 tokens).
    MEDIA_RESOLUTION_MEDIUM = 2

    # Media resolution set to high (zoomed reframing with 256 tokens).
    MEDIA_RESOLUTION_HIGH = 3
  end
end

#top_p ⇒ ::Float

Returns Optional. If specified, nucleus sampling will be used.

Returns:

• (::Float) —

  Optional. If specified, nucleus sampling will be used.

# File 'proto_docs/google/cloud/aiplatform/v1/content.rb', line 441

class GenerationConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # The configuration for routing the request to a specific model.
  # @!attribute [rw] auto_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode]
  #     Automated routing.
  #
  #     Note: The following fields are mutually exclusive: `auto_mode`, `manual_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  # @!attribute [rw] manual_mode
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::ManualRoutingMode]
  #     Manual routing.
  #
  #     Note: The following fields are mutually exclusive: `manual_mode`, `auto_mode`. If a field in that set is populated, all other fields in the set will automatically be cleared.
  class RoutingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # When automated routing is specified, the routing will be determined by
    # the pretrained routing model and customer provided model routing
    # preference.
    # @!attribute [rw] model_routing_preference
    #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::RoutingConfig::AutoRoutingMode::ModelRoutingPreference]
    #     The model routing preference.
    class AutoRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods

      # The model routing preference.
      module ModelRoutingPreference
        # Unspecified model routing preference.
        UNKNOWN = 0

        # Prefer higher quality over low cost.
        PRIORITIZE_QUALITY = 1

        # Balanced model routing preference.
        BALANCED = 2

        # Prefer lower cost over higher quality.
        PRIORITIZE_COST = 3
      end
    end

    # When manual routing is set, the specified model will be used directly.
    # @!attribute [rw] model_name
    #   @return [::String]
    #     The model name to use. Only the public LLM models are accepted. e.g.
    #     'gemini-1.5-pro-001'.
    class ManualRoutingMode
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end
  end

  # Config for thinking features.
  # @!attribute [rw] include_thoughts
  #   @return [::Boolean]
  #     Indicates whether to include thoughts in the response.
  #     If true, thoughts are returned only when available.
  # @!attribute [rw] thinking_budget
  #   @return [::Integer]
  #     Optional. Indicates the thinking budget in tokens.
  #     This is only applied when enable_thinking is true.
  # @!attribute [rw] thinking_level
  #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig::ThinkingConfig::ThinkingLevel]
  #     Optional. The number of thoughts tokens that the model should generate.
  class ThinkingConfig
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # The thinking level for the model.
    module ThinkingLevel
      # Unspecified thinking level.
      THINKING_LEVEL_UNSPECIFIED = 0

      # Low thinking level.
      LOW = 1

      # Medium thinking level.
      MEDIUM = 2

      # High thinking level.
      HIGH = 3

      # MINIMAL thinking level.
      MINIMAL = 4
    end
  end

  # The modalities of the response.
  module Modality
    # Unspecified modality. Will be processed as text.
    MODALITY_UNSPECIFIED = 0

    # Text modality.
    TEXT = 1

    # Image modality.
    IMAGE = 2

    # Audio modality.
    AUDIO = 3
  end

  # Media resolution for the input media.
  module MediaResolution
    # Media resolution has not been set.
    MEDIA_RESOLUTION_UNSPECIFIED = 0

    # Media resolution set to low (64 tokens).
    MEDIA_RESOLUTION_LOW = 1

    # Media resolution set to medium (256 tokens).
    MEDIA_RESOLUTION_MEDIUM = 2

    # Media resolution set to high (zoomed reframing with 256 tokens).
    MEDIA_RESOLUTION_HIGH = 3
  end
end