diff --git a/google-cloud-ai_platform-v1/lib/google/cloud/ai_platform/v1/llm_utility_service/client.rb b/google-cloud-ai_platform-v1/lib/google/cloud/ai_platform/v1/llm_utility_service/client.rb
index cadeb35c0e53..a8dc513582be 100644
--- a/google-cloud-ai_platform-v1/lib/google/cloud/ai_platform/v1/llm_utility_service/client.rb
+++ b/google-cloud-ai_platform-v1/lib/google/cloud/ai_platform/v1/llm_utility_service/client.rb
@@ -206,7 +206,7 @@ def initialize
             #   @param options [::Gapic::CallOptions, ::Hash]
             #     Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
             #
-            # @overload count_tokens(endpoint: nil, model: nil, instances: nil, contents: nil, system_instruction: nil, tools: nil)
+            # @overload count_tokens(endpoint: nil, model: nil, instances: nil, contents: nil, system_instruction: nil, tools: nil, generation_config: nil)
             #   Pass arguments to `count_tokens` via keyword arguments. Note that at
             #   least one keyword argument is required. To specify no parameters, or to keep all
             #   the default parameter values, pass an empty Hash as a request object (see above).
@@ -235,6 +235,9 @@ def initialize
             #     A `Tool` is a piece of code that enables the system to interact with
             #     external systems to perform an action, or set of actions, outside of
             #     knowledge and scope of the model.
+            #   @param generation_config [::Google::Cloud::AIPlatform::V1::GenerationConfig, ::Hash]
+            #     Optional. Generation config that the model will use to generate the
+            #     response.
             #
             # @yield [response, operation] Access the result along with the RPC operation
             # @yieldparam response [::Google::Cloud::AIPlatform::V1::CountTokensResponse]
diff --git a/google-cloud-ai_platform-v1/lib/google/cloud/ai_platform/v1/llm_utility_service/rest/client.rb b/google-cloud-ai_platform-v1/lib/google/cloud/ai_platform/v1/llm_utility_service/rest/client.rb
index 58cc39171f21..6ca3684045bf 100644
--- a/google-cloud-ai_platform-v1/lib/google/cloud/ai_platform/v1/llm_utility_service/rest/client.rb
+++ b/google-cloud-ai_platform-v1/lib/google/cloud/ai_platform/v1/llm_utility_service/rest/client.rb
@@ -201,7 +201,7 @@ def initialize
               #   @param options [::Gapic::CallOptions, ::Hash]
               #     Overrides the default settings for this call, e.g, timeout, retries etc. Optional.
               #
-              # @overload count_tokens(endpoint: nil, model: nil, instances: nil, contents: nil, system_instruction: nil, tools: nil)
+              # @overload count_tokens(endpoint: nil, model: nil, instances: nil, contents: nil, system_instruction: nil, tools: nil, generation_config: nil)
               #   Pass arguments to `count_tokens` via keyword arguments. Note that at
               #   least one keyword argument is required. To specify no parameters, or to keep all
               #   the default parameter values, pass an empty Hash as a request object (see above).
@@ -230,6 +230,9 @@ def initialize
               #     A `Tool` is a piece of code that enables the system to interact with
               #     external systems to perform an action, or set of actions, outside of
               #     knowledge and scope of the model.
+              #   @param generation_config [::Google::Cloud::AIPlatform::V1::GenerationConfig, ::Hash]
+              #     Optional. Generation config that the model will use to generate the
+              #     response.
               # @yield [result, operation] Access the result along with the TransportOperation object
               # @yieldparam result [::Google::Cloud::AIPlatform::V1::CountTokensResponse]
               # @yieldparam operation [::Gapic::Rest::TransportOperation]
diff --git a/google-cloud-ai_platform-v1/lib/google/cloud/ai_platform/v1/prediction_service/client.rb b/google-cloud-ai_platform-v1/lib/google/cloud/ai_platform/v1/prediction_service/client.rb
index 269643e86c0c..1cda94ff17ac 100644
--- a/google-cloud-ai_platform-v1/lib/google/cloud/ai_platform/v1/prediction_service/client.rb
+++ b/google-cloud-ai_platform-v1/lib/google/cloud/ai_platform/v1/prediction_service/client.rb
@@ -1251,7 +1251,7 @@ def explain request, options = nil
             #   @param options [::Gapic::CallOptions, ::Hash]
             #     Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
             #
-            # @overload generate_content(model: nil, contents: nil, system_instruction: nil, tools: nil, tool_config: nil, safety_settings: nil, generation_config: nil)
+            # @overload generate_content(model: nil, contents: nil, system_instruction: nil, tools: nil, tool_config: nil, labels: nil, safety_settings: nil, generation_config: nil)
             #   Pass arguments to `generate_content` via keyword arguments. Note that at
             #   least one keyword argument is required. To specify no parameters, or to keep all
             #   the default parameter values, pass an empty Hash as a request object (see above).
@@ -1285,6 +1285,14 @@ def explain request, options = nil
             #   @param tool_config [::Google::Cloud::AIPlatform::V1::ToolConfig, ::Hash]
             #     Optional. Tool config. This config is shared for all tools provided in the
             #     request.
+            #   @param labels [::Hash{::String => ::String}]
+            #     Optional. The labels with user-defined metadata for the request. It is used
+            #     for billing and reporting only.
+            #
+            #     Label keys and values can be no longer than 63 characters
+            #     (Unicode codepoints) and can only contain lowercase letters, numeric
+            #     characters, underscores, and dashes. International characters are allowed.
+            #     Label values are optional. Label keys must start with a letter.
             #   @param safety_settings [::Array<::Google::Cloud::AIPlatform::V1::SafetySetting, ::Hash>]
             #     Optional. Per request settings for blocking unsafe content.
             #     Enforced on GenerateContentResponse.candidates.
@@ -1369,7 +1377,7 @@ def generate_content request, options = nil
             #   @param options [::Gapic::CallOptions, ::Hash]
             #     Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
             #
-            # @overload stream_generate_content(model: nil, contents: nil, system_instruction: nil, tools: nil, tool_config: nil, safety_settings: nil, generation_config: nil)
+            # @overload stream_generate_content(model: nil, contents: nil, system_instruction: nil, tools: nil, tool_config: nil, labels: nil, safety_settings: nil, generation_config: nil)
             #   Pass arguments to `stream_generate_content` via keyword arguments. Note that at
             #   least one keyword argument is required. To specify no parameters, or to keep all
             #   the default parameter values, pass an empty Hash as a request object (see above).
@@ -1403,6 +1411,14 @@ def generate_content request, options = nil
             #   @param tool_config [::Google::Cloud::AIPlatform::V1::ToolConfig, ::Hash]
             #     Optional. Tool config. This config is shared for all tools provided in the
             #     request.
+            #   @param labels [::Hash{::String => ::String}]
+            #     Optional. The labels with user-defined metadata for the request. It is used
+            #     for billing and reporting only.
+            #
+            #     Label keys and values can be no longer than 63 characters
+            #     (Unicode codepoints) and can only contain lowercase letters, numeric
+            #     characters, underscores, and dashes. International characters are allowed.
+            #     Label values are optional. Label keys must start with a letter.
             #   @param safety_settings [::Array<::Google::Cloud::AIPlatform::V1::SafetySetting, ::Hash>]
             #     Optional. Per request settings for blocking unsafe content.
             #     Enforced on GenerateContentResponse.candidates.
diff --git a/google-cloud-ai_platform-v1/lib/google/cloud/ai_platform/v1/prediction_service/rest/client.rb b/google-cloud-ai_platform-v1/lib/google/cloud/ai_platform/v1/prediction_service/rest/client.rb
index d94b24c08d53..4bbf256f8c4f 100644
--- a/google-cloud-ai_platform-v1/lib/google/cloud/ai_platform/v1/prediction_service/rest/client.rb
+++ b/google-cloud-ai_platform-v1/lib/google/cloud/ai_platform/v1/prediction_service/rest/client.rb
@@ -880,7 +880,7 @@ def explain request, options = nil
               #   @param options [::Gapic::CallOptions, ::Hash]
               #     Overrides the default settings for this call, e.g, timeout, retries etc. Optional.
               #
-              # @overload generate_content(model: nil, contents: nil, system_instruction: nil, tools: nil, tool_config: nil, safety_settings: nil, generation_config: nil)
+              # @overload generate_content(model: nil, contents: nil, system_instruction: nil, tools: nil, tool_config: nil, labels: nil, safety_settings: nil, generation_config: nil)
               #   Pass arguments to `generate_content` via keyword arguments. Note that at
               #   least one keyword argument is required. To specify no parameters, or to keep all
               #   the default parameter values, pass an empty Hash as a request object (see above).
@@ -914,6 +914,14 @@ def explain request, options = nil
               #   @param tool_config [::Google::Cloud::AIPlatform::V1::ToolConfig, ::Hash]
               #     Optional. Tool config. This config is shared for all tools provided in the
               #     request.
+              #   @param labels [::Hash{::String => ::String}]
+              #     Optional. The labels with user-defined metadata for the request. It is used
+              #     for billing and reporting only.
+              #
+              #     Label keys and values can be no longer than 63 characters
+              #     (Unicode codepoints) and can only contain lowercase letters, numeric
+              #     characters, underscores, and dashes. International characters are allowed.
+              #     Label values are optional. Label keys must start with a letter.
               #   @param safety_settings [::Array<::Google::Cloud::AIPlatform::V1::SafetySetting, ::Hash>]
               #     Optional. Per request settings for blocking unsafe content.
               #     Enforced on GenerateContentResponse.candidates.
@@ -991,7 +999,7 @@ def generate_content request, options = nil
               #   @param options [::Gapic::CallOptions, ::Hash]
               #     Overrides the default settings for this call, e.g, timeout, retries etc. Optional.
               #
-              # @overload stream_generate_content(model: nil, contents: nil, system_instruction: nil, tools: nil, tool_config: nil, safety_settings: nil, generation_config: nil)
+              # @overload stream_generate_content(model: nil, contents: nil, system_instruction: nil, tools: nil, tool_config: nil, labels: nil, safety_settings: nil, generation_config: nil)
               #   Pass arguments to `stream_generate_content` via keyword arguments. Note that at
               #   least one keyword argument is required. To specify no parameters, or to keep all
               #   the default parameter values, pass an empty Hash as a request object (see above).
@@ -1025,6 +1033,14 @@ def generate_content request, options = nil
               #   @param tool_config [::Google::Cloud::AIPlatform::V1::ToolConfig, ::Hash]
               #     Optional. Tool config. This config is shared for all tools provided in the
               #     request.
+              #   @param labels [::Hash{::String => ::String}]
+              #     Optional. The labels with user-defined metadata for the request. It is used
+              #     for billing and reporting only.
+              #
+              #     Label keys and values can be no longer than 63 characters
+              #     (Unicode codepoints) and can only contain lowercase letters, numeric
+              #     characters, underscores, and dashes. International characters are allowed.
+              #     Label values are optional. Label keys must start with a letter.
               #   @param safety_settings [::Array<::Google::Cloud::AIPlatform::V1::SafetySetting, ::Hash>]
               #     Optional. Per request settings for blocking unsafe content.
               #     Enforced on GenerateContentResponse.candidates.
diff --git a/google-cloud-ai_platform-v1/lib/google/cloud/aiplatform/v1/content_pb.rb b/google-cloud-ai_platform-v1/lib/google/cloud/aiplatform/v1/content_pb.rb
index 16d73bac88f2..35d6a5bdb6b9 100644
--- a/google-cloud-ai_platform-v1/lib/google/cloud/aiplatform/v1/content_pb.rb
+++ b/google-cloud-ai_platform-v1/lib/google/cloud/aiplatform/v1/content_pb.rb
@@ -11,7 +11,7 @@
 require 'google/type/date_pb'
 
 
-descriptor_data = "\n(google/cloud/aiplatform/v1/content.proto\x12\x1agoogle.cloud.aiplatform.v1\x1a\x1fgoogle/api/field_behavior.proto\x1a(google/cloud/aiplatform/v1/openapi.proto\x1a%google/cloud/aiplatform/v1/tool.proto\x1a\x1egoogle/protobuf/duration.proto\x1a\x16google/type/date.proto\"R\n\x07\x43ontent\x12\x11\n\x04role\x18\x01 \x01(\tB\x03\xe0\x41\x01\x12\x34\n\x05parts\x18\x02 \x03(\x0b\x32 .google.cloud.aiplatform.v1.PartB\x03\xe0\x41\x02\"\x8f\x03\n\x04Part\x12\x13\n\x04text\x18\x01 \x01(\tB\x03\xe0\x41\x01H\x00\x12<\n\x0binline_data\x18\x02 \x01(\x0b\x32 .google.cloud.aiplatform.v1.BlobB\x03\xe0\x41\x01H\x00\x12>\n\tfile_data\x18\x03 \x01(\x0b\x32$.google.cloud.aiplatform.v1.FileDataB\x03\xe0\x41\x01H\x00\x12\x46\n\rfunction_call\x18\x05 \x01(\x0b\x32(.google.cloud.aiplatform.v1.FunctionCallB\x03\xe0\x41\x01H\x00\x12N\n\x11\x66unction_response\x18\x06 \x01(\x0b\x32,.google.cloud.aiplatform.v1.FunctionResponseB\x03\xe0\x41\x01H\x00\x12H\n\x0evideo_metadata\x18\x04 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\x01(\x0c\x42\x03\xe0\x41\x01*\xd7\x01\n\x0cHarmCategory\x12\x1d\n\x19HARM_CATEGORY_UNSPECIFIED\x10\x00\x12\x1d\n\x19HARM_CATEGORY_HATE_SPEECH\x10\x01\x12#\n\x1fHARM_CATEGORY_DANGEROUS_CONTENT\x10\x02\x12\x1c\n\x18HARM_CATEGORY_HARASSMENT\x10\x03\x12#\n\x1fHARM_CATEGORY_SEXUALLY_EXPLICIT\x10\x04\x12!\n\x1dHARM_CATEGORY_CIVIC_INTEGRITY\x10\x05\x42\xca\x01\n\x1e\x63om.google.cloud.aiplatform.v1B\x0c\x43ontentProtoP\x01Z>cloud.google.com/go/aiplatform/apiv1/aiplatformpb;aiplatformpb\xaa\x02\x1aGoogle.Cloud.AIPlatform.V1\xca\x02\x1aGoogle\\Cloud\\AIPlatform\\V1\xea\x02\x1dGoogle::Cloud::AIPlatform::V1b\x06proto3"
 
 pool = Google::Protobuf::DescriptorPool.generated_pool
 
diff --git a/google-cloud-ai_platform-v1/lib/google/cloud/aiplatform/v1/openapi_pb.rb b/google-cloud-ai_platform-v1/lib/google/cloud/aiplatform/v1/openapi_pb.rb
index 0af2c1500453..1baf69d6e90e 100644
--- a/google-cloud-ai_platform-v1/lib/google/cloud/aiplatform/v1/openapi_pb.rb
+++ b/google-cloud-ai_platform-v1/lib/google/cloud/aiplatform/v1/openapi_pb.rb
@@ -8,7 +8,7 @@
 require 'google/protobuf/struct_pb'
 
 
-descriptor_data = "\n(google/cloud/aiplatform/v1/openapi.proto\x12\x1agoogle.cloud.aiplatform.v1\x1a\x1fgoogle/api/field_behavior.proto\x1a\x1cgoogle/protobuf/struct.proto\"\xd7\x05\n\x06Schema\x12\x33\n\x04type\x18\x01 \x01(\x0e\x32 .google.cloud.aiplatform.v1.TypeB\x03\xe0\x41\x01\x12\x13\n\x06\x66ormat\x18\x07 \x01(\tB\x03\xe0\x41\x01\x12\x12\n\x05title\x18\x18 \x01(\tB\x03\xe0\x41\x01\x12\x18\n\x0b\x64\x65scription\x18\x08 \x01(\tB\x03\xe0\x41\x01\x12\x15\n\x08nullable\x18\x06 \x01(\x08\x42\x03\xe0\x41\x01\x12,\n\x07\x64\x65\x66\x61ult\x18\x17 \x01(\x0b\x32\x16.google.protobuf.ValueB\x03\xe0\x41\x01\x12\x36\n\x05items\x18\x02 \x01(\x0b\x32\".google.cloud.aiplatform.v1.SchemaB\x03\xe0\x41\x01\x12\x16\n\tmin_items\x18\x15 \x01(\x03\x42\x03\xe0\x41\x01\x12\x16\n\tmax_items\x18\x16 \x01(\x03\x42\x03\xe0\x41\x01\x12\x11\n\x04\x65num\x18\t \x03(\tB\x03\xe0\x41\x01\x12K\n\nproperties\x18\x03 \x03(\x0b\x32\x32.google.cloud.aiplatform.v1.Schema.PropertiesEntryB\x03\xe0\x41\x01\x12\x15\n\x08required\x18\x05 \x03(\tB\x03\xe0\x41\x01\x12\x1b\n\x0emin_properties\x18\x0e \x01(\x03\x42\x03\xe0\x41\x01\x12\x1b\n\x0emax_properties\x18\x0f \x01(\x03\x42\x03\xe0\x41\x01\x12\x14\n\x07minimum\x18\x10 \x01(\x01\x42\x03\xe0\x41\x01\x12\x14\n\x07maximum\x18\x11 \x01(\x01\x42\x03\xe0\x41\x01\x12\x17\n\nmin_length\x18\x12 \x01(\x03\x42\x03\xe0\x41\x01\x12\x17\n\nmax_length\x18\x13 \x01(\x03\x42\x03\xe0\x41\x01\x12\x14\n\x07pattern\x18\x14 \x01(\tB\x03\xe0\x41\x01\x12,\n\x07\x65xample\x18\x04 \x01(\x0b\x32\x16.google.protobuf.ValueB\x03\xe0\x41\x01\x1aU\n\x0fPropertiesEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\x31\n\x05value\x18\x02 \x01(\x0b\x32\".google.cloud.aiplatform.v1.Schema:\x02\x38\x01*e\n\x04Type\x12\x14\n\x10TYPE_UNSPECIFIED\x10\x00\x12\n\n\x06STRING\x10\x01\x12\n\n\x06NUMBER\x10\x02\x12\x0b\n\x07INTEGER\x10\x03\x12\x0b\n\x07\x42OOLEAN\x10\x04\x12\t\n\x05\x41RRAY\x10\x05\x12\n\n\x06OBJECT\x10\x06\x42\xca\x01\n\x1e\x63om.google.cloud.aiplatform.v1B\x0cOpenApiProtoP\x01Z>cloud.google.com/go/aiplatform/apiv1/aiplatformpb;aiplatformpb\xaa\x02\x1aGoogle.Cloud.AIPlatform.V1\xca\x02\x1aGoogle\\Cloud\\AIPlatform\\V1\xea\x02\x1dGoogle::Cloud::AIPlatform::V1b\x06proto3"
+descriptor_data = "\n(google/cloud/aiplatform/v1/openapi.proto\x12\x1agoogle.cloud.aiplatform.v1\x1a\x1fgoogle/api/field_behavior.proto\x1a\x1cgoogle/protobuf/struct.proto\"\xf7\x05\n\x06Schema\x12\x33\n\x04type\x18\x01 \x01(\x0e\x32 .google.cloud.aiplatform.v1.TypeB\x03\xe0\x41\x01\x12\x13\n\x06\x66ormat\x18\x07 \x01(\tB\x03\xe0\x41\x01\x12\x12\n\x05title\x18\x18 \x01(\tB\x03\xe0\x41\x01\x12\x18\n\x0b\x64\x65scription\x18\x08 \x01(\tB\x03\xe0\x41\x01\x12\x15\n\x08nullable\x18\x06 \x01(\x08\x42\x03\xe0\x41\x01\x12,\n\x07\x64\x65\x66\x61ult\x18\x17 \x01(\x0b\x32\x16.google.protobuf.ValueB\x03\xe0\x41\x01\x12\x36\n\x05items\x18\x02 \x01(\x0b\x32\".google.cloud.aiplatform.v1.SchemaB\x03\xe0\x41\x01\x12\x16\n\tmin_items\x18\x15 \x01(\x03\x42\x03\xe0\x41\x01\x12\x16\n\tmax_items\x18\x16 \x01(\x03\x42\x03\xe0\x41\x01\x12\x11\n\x04\x65num\x18\t \x03(\tB\x03\xe0\x41\x01\x12K\n\nproperties\x18\x03 \x03(\x0b\x32\x32.google.cloud.aiplatform.v1.Schema.PropertiesEntryB\x03\xe0\x41\x01\x12\x1e\n\x11property_ordering\x18\x19 \x03(\tB\x03\xe0\x41\x01\x12\x15\n\x08required\x18\x05 \x03(\tB\x03\xe0\x41\x01\x12\x1b\n\x0emin_properties\x18\x0e \x01(\x03\x42\x03\xe0\x41\x01\x12\x1b\n\x0emax_properties\x18\x0f \x01(\x03\x42\x03\xe0\x41\x01\x12\x14\n\x07minimum\x18\x10 \x01(\x01\x42\x03\xe0\x41\x01\x12\x14\n\x07maximum\x18\x11 \x01(\x01\x42\x03\xe0\x41\x01\x12\x17\n\nmin_length\x18\x12 \x01(\x03\x42\x03\xe0\x41\x01\x12\x17\n\nmax_length\x18\x13 \x01(\x03\x42\x03\xe0\x41\x01\x12\x14\n\x07pattern\x18\x14 \x01(\tB\x03\xe0\x41\x01\x12,\n\x07\x65xample\x18\x04 \x01(\x0b\x32\x16.google.protobuf.ValueB\x03\xe0\x41\x01\x1aU\n\x0fPropertiesEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\x31\n\x05value\x18\x02 \x01(\x0b\x32\".google.cloud.aiplatform.v1.Schema:\x02\x38\x01*e\n\x04Type\x12\x14\n\x10TYPE_UNSPECIFIED\x10\x00\x12\n\n\x06STRING\x10\x01\x12\n\n\x06NUMBER\x10\x02\x12\x0b\n\x07INTEGER\x10\x03\x12\x0b\n\x07\x42OOLEAN\x10\x04\x12\t\n\x05\x41RRAY\x10\x05\x12\n\n\x06OBJECT\x10\x06\x42\xca\x01\n\x1e\x63om.google.cloud.aiplatform.v1B\x0cOpenApiProtoP\x01Z>cloud.google.com/go/aiplatform/apiv1/aiplatformpb;aiplatformpb\xaa\x02\x1aGoogle.Cloud.AIPlatform.V1\xca\x02\x1aGoogle\\Cloud\\AIPlatform\\V1\xea\x02\x1dGoogle::Cloud::AIPlatform::V1b\x06proto3"
 
 pool = Google::Protobuf::DescriptorPool.generated_pool
 
diff --git a/google-cloud-ai_platform-v1/lib/google/cloud/aiplatform/v1/prediction_service_pb.rb b/google-cloud-ai_platform-v1/lib/google/cloud/aiplatform/v1/prediction_service_pb.rb
index 4b9c6fc24ebf..c8097fc589e7 100644
--- a/google-cloud-ai_platform-v1/lib/google/cloud/aiplatform/v1/prediction_service_pb.rb
+++ b/google-cloud-ai_platform-v1/lib/google/cloud/aiplatform/v1/prediction_service_pb.rb
@@ -16,7 +16,7 @@
 require 'google/protobuf/struct_pb'
 
 
-descriptor_data = "\n3google/cloud/aiplatform/v1/prediction_service.proto\x12\x1agoogle.cloud.aiplatform.v1\x1a\x1cgoogle/api/annotations.proto\x1a\x17google/api/client.proto\x1a\x1fgoogle/api/field_behavior.proto\x1a\x19google/api/httpbody.proto\x1a\x19google/api/resource.proto\x1a(google/cloud/aiplatform/v1/content.proto\x1a,google/cloud/aiplatform/v1/explanation.proto\x1a%google/cloud/aiplatform/v1/tool.proto\x1a&google/cloud/aiplatform/v1/types.proto\x1a\x1cgoogle/protobuf/struct.proto\"\xaa\x01\n\x0ePredictRequest\x12<\n\x08\x65ndpoint\x18\x01 \x01(\tB*\xe0\x41\x02\xfa\x41$\n\"aiplatform.googleapis.com/Endpoint\x12.\n\tinstances\x18\x02 \x03(\x0b\x32\x16.google.protobuf.ValueB\x03\xe0\x41\x02\x12*\n\nparameters\x18\x03 \x01(\x0b\x32\x16.google.protobuf.Value\"\x80\x02\n\x0fPredictResponse\x12+\n\x0bpredictions\x18\x01 \x03(\x0b\x32\x16.google.protobuf.Value\x12\x19\n\x11\x64\x65ployed_model_id\x18\x02 \x01(\t\x12\x36\n\x05model\x18\x03 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\x01(\x0b\x32\".google.cloud.aiplatform.v1.Tensor\"\x84\x01\n\x15\x44irectPredictResponse\x12\x33\n\x07outputs\x18\x01 \x03(\x0b\x32\".google.cloud.aiplatform.v1.Tensor\x12\x36\n\nparameters\x18\x02 \x01(\x0b\x32\".google.cloud.aiplatform.v1.Tensor\"{\n\x17\x44irectRawPredictRequest\x12<\n\x08\x65ndpoint\x18\x01 \x01(\tB*\xe0\x41\x02\xfa\x41$\n\"aiplatform.googleapis.com/Endpoint\x12\x13\n\x0bmethod_name\x18\x02 \x01(\t\x12\r\n\x05input\x18\x03 \x01(\x0c\"*\n\x18\x44irectRawPredictResponse\x12\x0e\n\x06output\x18\x01 \x01(\x0c\"\xd0\x01\n\x1aStreamDirectPredictRequest\x12<\n\x08\x65ndpoint\x18\x01 \x01(\tB*\xe0\x41\x02\xfa\x41$\n\"aiplatform.googleapis.com/Endpoint\x12\x37\n\x06inputs\x18\x02 \x03(\x0b\x32\".google.cloud.aiplatform.v1.TensorB\x03\xe0\x41\x01\x12;\n\nparameters\x18\x03 \x01(\x0b\x32\".google.cloud.aiplatform.v1.TensorB\x03\xe0\x41\x01\"\x8a\x01\n\x1bStreamDirectPredictResponse\x12\x33\n\x07outputs\x18\x01 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\x01(\x05\x32\xf2\x19\n\x11PredictionService\x12\x94\x02\n\x07Predict\x12*.google.cloud.aiplatform.v1.PredictRequest\x1a+.google.cloud.aiplatform.v1.PredictResponse\"\xaf\x01\xda\x41\x1d\x65ndpoint,instances,parameters\x82\xd3\xe4\x93\x02\x88\x01\"9/v1/{endpoint=projects/*/locations/*/endpoints/*}:predict:\x01*ZH\"C/v1/{endpoint=projects/*/locations/*/publishers/*/models/*}:predict:\x01*\x12\xfe\x01\n\nRawPredict\x12-.google.cloud.aiplatform.v1.RawPredictRequest\x1a\x14.google.api.HttpBody\"\xaa\x01\xda\x41\x12\x65ndpoint,http_body\x82\xd3\xe4\x93\x02\x8e\x01\"</v1/{endpoint=projects/*/locations/*/endpoints/*}:rawPredict:\x01*ZK\"F/v1/{endpoint=projects/*/locations/*/publishers/*/models/*}:rawPredict:\x01*\x12\x98\x02\n\x10StreamRawPredict\x12\x33.google.cloud.aiplatform.v1.StreamRawPredictRequest\x1a\x14.google.api.HttpBody\"\xb6\x01\xda\x41\x12\x65ndpoint,http_body\x82\xd3\xe4\x93\x02\x9a\x01\"B/v1/{endpoint=projects/*/locations/*/endpoints/*}:streamRawPredict:\x01*ZQ\"L/v1/{endpoint=projects/*/locations/*/publishers/*/models/*}:streamRawPredict:\x01*0\x01\x12\xc0\x01\n\rDirectPredict\x12\x30.google.cloud.aiplatform.v1.DirectPredictRequest\x1a\x31.google.cloud.aiplatform.v1.DirectPredictResponse\"J\x82\xd3\xe4\x93\x02\x44\"?/v1/{endpoint=projects/*/locations/*/endpoints/*}:directPredict:\x01*\x12\xcc\x01\n\x10\x44irectRawPredict\x12\x33.google.cloud.aiplatform.v1.DirectRawPredictRequest\x1a\x34.google.cloud.aiplatform.v1.DirectRawPredictResponse\"M\x82\xd3\xe4\x93\x02G\"B/v1/{endpoint=projects/*/locations/*/endpoints/*}:directRawPredict:\x01*\x12\x8c\x01\n\x13StreamDirectPredict\x12\x36.google.cloud.aiplatform.v1.StreamDirectPredictRequest\x1a\x37.google.cloud.aiplatform.v1.StreamDirectPredictResponse\"\x00(\x01\x30\x01\x12\x95\x01\n\x16StreamDirectRawPredict\x12\x39.google.cloud.aiplatform.v1.StreamDirectRawPredictRequest\x1a:.google.cloud.aiplatform.v1.StreamDirectRawPredictResponse\"\x00(\x01\x30\x01\x12\x83\x01\n\x10StreamingPredict\x12\x33.google.cloud.aiplatform.v1.StreamingPredictRequest\x1a\x34.google.cloud.aiplatform.v1.StreamingPredictResponse\"\x00(\x01\x30\x01\x12\xb5\x02\n\x16ServerStreamingPredict\x12\x33.google.cloud.aiplatform.v1.StreamingPredictRequest\x1a\x34.google.cloud.aiplatform.v1.StreamingPredictResponse\"\xad\x01\x82\xd3\xe4\x93\x02\xa6\x01\"H/v1/{endpoint=projects/*/locations/*/endpoints/*}:serverStreamingPredict:\x01*ZW\"R/v1/{endpoint=projects/*/locations/*/publishers/*/models/*}:serverStreamingPredict:\x01*0\x01\x12\x8c\x01\n\x13StreamingRawPredict\x12\x36.google.cloud.aiplatform.v1.StreamingRawPredictRequest\x1a\x37.google.cloud.aiplatform.v1.StreamingRawPredictResponse\"\x00(\x01\x30\x01\x12\xda\x01\n\x07\x45xplain\x12*.google.cloud.aiplatform.v1.ExplainRequest\x1a+.google.cloud.aiplatform.v1.ExplainResponse\"v\xda\x41/endpoint,instances,parameters,deployed_model_id\x82\xd3\xe4\x93\x02>\"9/v1/{endpoint=projects/*/locations/*/endpoints/*}:explain:\x01*\x12\x8d\x03\n\x0fGenerateContent\x12\x32.google.cloud.aiplatform.v1.GenerateContentRequest\x1a\x33.google.cloud.aiplatform.v1.GenerateContentResponse\"\x90\x02\xda\x41\x0emodel,contents\x82\xd3\xe4\x93\x02\xf8\x01\">/v1/{model=projects/*/locations/*/endpoints/*}:generateContent:\x01*ZM\"H/v1/{model=projects/*/locations/*/publishers/*/models/*}:generateContent:\x01*Z,\"\'/v1/{model=endpoints/*}:generateContent:\x01*Z6\"1/v1/{model=publishers/*/models/*}:generateContent:\x01*\x12\xad\x03\n\x15StreamGenerateContent\x12\x32.google.cloud.aiplatform.v1.GenerateContentRequest\x1a\x33.google.cloud.aiplatform.v1.GenerateContentResponse\"\xa8\x02\xda\x41\x0emodel,contents\x82\xd3\xe4\x93\x02\x90\x02\"D/v1/{model=projects/*/locations/*/endpoints/*}:streamGenerateContent:\x01*ZS\"N/v1/{model=projects/*/locations/*/publishers/*/models/*}:streamGenerateContent:\x01*Z2\"-/v1/{model=endpoints/*}:streamGenerateContent:\x01*Z<\"7/v1/{model=publishers/*/models/*}:streamGenerateContent:\x01*0\x01\x1a\x86\x01\xca\x41\x19\x61iplatform.googleapis.com\xd2\x41ghttps://www.googleapis.com/auth/cloud-platform,https://www.googleapis.com/auth/cloud-platform.read-onlyB\xd4\x01\n\x1e\x63om.google.cloud.aiplatform.v1B\x16PredictionServiceProtoP\x01Z>cloud.google.com/go/aiplatform/apiv1/aiplatformpb;aiplatformpb\xaa\x02\x1aGoogle.Cloud.AIPlatform.V1\xca\x02\x1aGoogle\\Cloud\\AIPlatform\\V1\xea\x02\x1dGoogle::Cloud::AIPlatform::V1b\x06proto3"
 
 pool = Google::Protobuf::DescriptorPool.generated_pool
 
diff --git a/google-cloud-ai_platform-v1/proto_docs/google/cloud/aiplatform/v1/content.rb b/google-cloud-ai_platform-v1/proto_docs/google/cloud/aiplatform/v1/content.rb
index 72a6e59fc77d..2637ed4a34ec 100644
--- a/google-cloud-ai_platform-v1/proto_docs/google/cloud/aiplatform/v1/content.rb
+++ b/google-cloud-ai_platform-v1/proto_docs/google/cloud/aiplatform/v1/content.rb
@@ -562,6 +562,9 @@ module HarmCategory
 
           # The harm category is sexually explicit content.
           HARM_CATEGORY_SEXUALLY_EXPLICIT = 4
+
+          # The harm category is civic integrity.
+          HARM_CATEGORY_CIVIC_INTEGRITY = 5
         end
       end
     end
diff --git a/google-cloud-ai_platform-v1/proto_docs/google/cloud/aiplatform/v1/openapi.rb b/google-cloud-ai_platform-v1/proto_docs/google/cloud/aiplatform/v1/openapi.rb
index 270ecedbc79c..da4b63d4bf9f 100644
--- a/google-cloud-ai_platform-v1/proto_docs/google/cloud/aiplatform/v1/openapi.rb
+++ b/google-cloud-ai_platform-v1/proto_docs/google/cloud/aiplatform/v1/openapi.rb
@@ -23,8 +23,8 @@ module AIPlatform
       module V1
         # Schema is used to define the format of input/output data. Represents a select
         # subset of an [OpenAPI 3.0 schema
-        # object](https://spec.openapis.org/oas/v3.0.3#schema). More fields may be
-        # added in the future as needed.
+        # object](https://spec.openapis.org/oas/v3.0.3#schema-object). More fields may
+        # be added in the future as needed.
         # @!attribute [rw] type
         #   @return [::Google::Cloud::AIPlatform::V1::Type]
         #     Optional. The type of the data.
@@ -66,6 +66,11 @@ module V1
         #   @return [::Google::Protobuf::Map{::String => ::Google::Cloud::AIPlatform::V1::Schema}]
         #     Optional. SCHEMA FIELDS FOR TYPE OBJECT
         #     Properties of Type.OBJECT.
+        # @!attribute [rw] property_ordering
+        #   @return [::Array<::String>]
+        #     Optional. The order of the properties.
+        #     Not a standard field in open api spec. Only used to support the order of
+        #     the properties.
         # @!attribute [rw] required
         #   @return [::Array<::String>]
         #     Optional. Required properties of Type.OBJECT.
diff --git a/google-cloud-ai_platform-v1/proto_docs/google/cloud/aiplatform/v1/prediction_service.rb b/google-cloud-ai_platform-v1/proto_docs/google/cloud/aiplatform/v1/prediction_service.rb
index e3398320be8c..2f89d418eb8b 100644
--- a/google-cloud-ai_platform-v1/proto_docs/google/cloud/aiplatform/v1/prediction_service.rb
+++ b/google-cloud-ai_platform-v1/proto_docs/google/cloud/aiplatform/v1/prediction_service.rb
@@ -454,6 +454,10 @@ class ExplainResponse
         #     A `Tool` is a piece of code that enables the system to interact with
         #     external systems to perform an action, or set of actions, outside of
         #     knowledge and scope of the model.
+        # @!attribute [rw] generation_config
+        #   @return [::Google::Cloud::AIPlatform::V1::GenerationConfig]
+        #     Optional. Generation config that the model will use to generate the
+        #     response.
         class CountTokensRequest
           include ::Google::Protobuf::MessageExts
           extend ::Google::Protobuf::MessageExts::ClassMethods
@@ -507,6 +511,15 @@ class CountTokensResponse
         #   @return [::Google::Cloud::AIPlatform::V1::ToolConfig]
         #     Optional. Tool config. This config is shared for all tools provided in the
         #     request.
+        # @!attribute [rw] labels
+        #   @return [::Google::Protobuf::Map{::String => ::String}]
+        #     Optional. The labels with user-defined metadata for the request. It is used
+        #     for billing and reporting only.
+        #
+        #     Label keys and values can be no longer than 63 characters
+        #     (Unicode codepoints) and can only contain lowercase letters, numeric
+        #     characters, underscores, and dashes. International characters are allowed.
+        #     Label values are optional. Label keys must start with a letter.
         # @!attribute [rw] safety_settings
         #   @return [::Array<::Google::Cloud::AIPlatform::V1::SafetySetting>]
         #     Optional. Per request settings for blocking unsafe content.
@@ -517,6 +530,15 @@ class CountTokensResponse
         class GenerateContentRequest
           include ::Google::Protobuf::MessageExts
           extend ::Google::Protobuf::MessageExts::ClassMethods
+
+          # @!attribute [rw] key
+          #   @return [::String]
+          # @!attribute [rw] value
+          #   @return [::String]
+          class LabelsEntry
+            include ::Google::Protobuf::MessageExts
+            extend ::Google::Protobuf::MessageExts::ClassMethods
+          end
         end
 
         # Response message for [PredictionService.GenerateContent].
@@ -580,6 +602,7 @@ module BlockedReason
           #     Number of tokens in the response(s).
           # @!attribute [rw] total_token_count
           #   @return [::Integer]
+          #     Total token count for prompt and response candidates.
           class UsageMetadata
             include ::Google::Protobuf::MessageExts
             extend ::Google::Protobuf::MessageExts::ClassMethods
diff --git a/google-cloud-ai_platform-v1/test/google/cloud/ai_platform/v1/llm_utility_service_rest_test.rb b/google-cloud-ai_platform-v1/test/google/cloud/ai_platform/v1/llm_utility_service_rest_test.rb
index 6fa0b7c06be0..4e7f9b250fa7 100644
--- a/google-cloud-ai_platform-v1/test/google/cloud/ai_platform/v1/llm_utility_service_rest_test.rb
+++ b/google-cloud-ai_platform-v1/test/google/cloud/ai_platform/v1/llm_utility_service_rest_test.rb
@@ -84,6 +84,7 @@ def test_count_tokens
     contents = [{}]
     system_instruction = {}
     tools = [{}]
+    generation_config = {}
 
     count_tokens_client_stub = ClientStub.new http_response do |_verb, uri:, body:, params:, options:|
       assert options.metadata.key? :"x-goog-api-client"
@@ -99,27 +100,27 @@ def test_count_tokens
         end
 
         # Use hash object
-        client.count_tokens({ endpoint: endpoint, model: model, instances: instances, contents: contents, system_instruction: system_instruction, tools: tools }) do |_result, response|
+        client.count_tokens({ endpoint: endpoint, model: model, instances: instances, contents: contents, system_instruction: system_instruction, tools: tools, generation_config: generation_config }) do |_result, response|
           assert_equal http_response, response.underlying_op
         end
 
         # Use named arguments
-        client.count_tokens endpoint: endpoint, model: model, instances: instances, contents: contents, system_instruction: system_instruction, tools: tools do |_result, response|
+        client.count_tokens endpoint: endpoint, model: model, instances: instances, contents: contents, system_instruction: system_instruction, tools: tools, generation_config: generation_config do |_result, response|
           assert_equal http_response, response.underlying_op
         end
 
         # Use protobuf object
-        client.count_tokens ::Google::Cloud::AIPlatform::V1::CountTokensRequest.new(endpoint: endpoint, model: model, instances: instances, contents: contents, system_instruction: system_instruction, tools: tools) do |_result, response|
+        client.count_tokens ::Google::Cloud::AIPlatform::V1::CountTokensRequest.new(endpoint: endpoint, model: model, instances: instances, contents: contents, system_instruction: system_instruction, tools: tools, generation_config: generation_config) do |_result, response|
           assert_equal http_response, response.underlying_op
         end
 
         # Use hash object with options
-        client.count_tokens({ endpoint: endpoint, model: model, instances: instances, contents: contents, system_instruction: system_instruction, tools: tools }, call_options) do |_result, response|
+        client.count_tokens({ endpoint: endpoint, model: model, instances: instances, contents: contents, system_instruction: system_instruction, tools: tools, generation_config: generation_config }, call_options) do |_result, response|
           assert_equal http_response, response.underlying_op
         end
 
         # Use protobuf object with options
-        client.count_tokens(::Google::Cloud::AIPlatform::V1::CountTokensRequest.new(endpoint: endpoint, model: model, instances: instances, contents: contents, system_instruction: system_instruction, tools: tools), call_options) do |_result, response|
+        client.count_tokens(::Google::Cloud::AIPlatform::V1::CountTokensRequest.new(endpoint: endpoint, model: model, instances: instances, contents: contents, system_instruction: system_instruction, tools: tools, generation_config: generation_config), call_options) do |_result, response|
           assert_equal http_response, response.underlying_op
         end
 
diff --git a/google-cloud-ai_platform-v1/test/google/cloud/ai_platform/v1/llm_utility_service_test.rb b/google-cloud-ai_platform-v1/test/google/cloud/ai_platform/v1/llm_utility_service_test.rb
index 1bb3ec0ed36c..3bed1b97d663 100644
--- a/google-cloud-ai_platform-v1/test/google/cloud/ai_platform/v1/llm_utility_service_test.rb
+++ b/google-cloud-ai_platform-v1/test/google/cloud/ai_platform/v1/llm_utility_service_test.rb
@@ -69,6 +69,7 @@ def test_count_tokens
     contents = [{}]
     system_instruction = {}
     tools = [{}]
+    generation_config = {}
 
     count_tokens_client_stub = ClientStub.new grpc_response, grpc_operation do |name, request, options:|
       assert_equal :count_tokens, name
@@ -80,6 +81,8 @@ def test_count_tokens
       assert_equal Gapic::Protobuf.coerce({}, to: ::Google::Cloud::AIPlatform::V1::Content), request["system_instruction"]
       assert request.has_system_instruction?
       assert_kind_of ::Google::Cloud::AIPlatform::V1::Tool, request["tools"].first
+      assert_equal Gapic::Protobuf.coerce({}, to: ::Google::Cloud::AIPlatform::V1::GenerationConfig), request["generation_config"]
+      assert request.has_generation_config?
       refute_nil options
     end
 
@@ -90,31 +93,31 @@ def test_count_tokens
       end
 
       # Use hash object
-      client.count_tokens({ endpoint: endpoint, model: model, instances: instances, contents: contents, system_instruction: system_instruction, tools: tools }) do |response, operation|
+      client.count_tokens({ endpoint: endpoint, model: model, instances: instances, contents: contents, system_instruction: system_instruction, tools: tools, generation_config: generation_config }) do |response, operation|
         assert_equal grpc_response, response
         assert_equal grpc_operation, operation
       end
 
       # Use named arguments
-      client.count_tokens endpoint: endpoint, model: model, instances: instances, contents: contents, system_instruction: system_instruction, tools: tools do |response, operation|
+      client.count_tokens endpoint: endpoint, model: model, instances: instances, contents: contents, system_instruction: system_instruction, tools: tools, generation_config: generation_config do |response, operation|
         assert_equal grpc_response, response
         assert_equal grpc_operation, operation
       end
 
       # Use protobuf object
-      client.count_tokens ::Google::Cloud::AIPlatform::V1::CountTokensRequest.new(endpoint: endpoint, model: model, instances: instances, contents: contents, system_instruction: system_instruction, tools: tools) do |response, operation|
+      client.count_tokens ::Google::Cloud::AIPlatform::V1::CountTokensRequest.new(endpoint: endpoint, model: model, instances: instances, contents: contents, system_instruction: system_instruction, tools: tools, generation_config: generation_config) do |response, operation|
         assert_equal grpc_response, response
         assert_equal grpc_operation, operation
       end
 
       # Use hash object with options
-      client.count_tokens({ endpoint: endpoint, model: model, instances: instances, contents: contents, system_instruction: system_instruction, tools: tools }, grpc_options) do |response, operation|
+      client.count_tokens({ endpoint: endpoint, model: model, instances: instances, contents: contents, system_instruction: system_instruction, tools: tools, generation_config: generation_config }, grpc_options) do |response, operation|
         assert_equal grpc_response, response
         assert_equal grpc_operation, operation
       end
 
       # Use protobuf object with options
-      client.count_tokens(::Google::Cloud::AIPlatform::V1::CountTokensRequest.new(endpoint: endpoint, model: model, instances: instances, contents: contents, system_instruction: system_instruction, tools: tools), grpc_options) do |response, operation|
+      client.count_tokens(::Google::Cloud::AIPlatform::V1::CountTokensRequest.new(endpoint: endpoint, model: model, instances: instances, contents: contents, system_instruction: system_instruction, tools: tools, generation_config: generation_config), grpc_options) do |response, operation|
         assert_equal grpc_response, response
         assert_equal grpc_operation, operation
       end
diff --git a/google-cloud-ai_platform-v1/test/google/cloud/ai_platform/v1/prediction_service_rest_test.rb b/google-cloud-ai_platform-v1/test/google/cloud/ai_platform/v1/prediction_service_rest_test.rb
index 25100b4f4b48..68a02b5e818f 100644
--- a/google-cloud-ai_platform-v1/test/google/cloud/ai_platform/v1/prediction_service_rest_test.rb
+++ b/google-cloud-ai_platform-v1/test/google/cloud/ai_platform/v1/prediction_service_rest_test.rb
@@ -475,6 +475,7 @@ def test_generate_content
     system_instruction = {}
     tools = [{}]
     tool_config = {}
+    labels = {}
     safety_settings = [{}]
     generation_config = {}
 
@@ -492,27 +493,27 @@ def test_generate_content
         end
 
         # Use hash object
-        client.generate_content({ model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, safety_settings: safety_settings, generation_config: generation_config }) do |_result, response|
+        client.generate_content({ model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, labels: labels, safety_settings: safety_settings, generation_config: generation_config }) do |_result, response|
           assert_equal http_response, response.underlying_op
         end
 
         # Use named arguments
-        client.generate_content model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, safety_settings: safety_settings, generation_config: generation_config do |_result, response|
+        client.generate_content model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, labels: labels, safety_settings: safety_settings, generation_config: generation_config do |_result, response|
           assert_equal http_response, response.underlying_op
         end
 
         # Use protobuf object
-        client.generate_content ::Google::Cloud::AIPlatform::V1::GenerateContentRequest.new(model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, safety_settings: safety_settings, generation_config: generation_config) do |_result, response|
+        client.generate_content ::Google::Cloud::AIPlatform::V1::GenerateContentRequest.new(model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, labels: labels, safety_settings: safety_settings, generation_config: generation_config) do |_result, response|
           assert_equal http_response, response.underlying_op
         end
 
         # Use hash object with options
-        client.generate_content({ model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, safety_settings: safety_settings, generation_config: generation_config }, call_options) do |_result, response|
+        client.generate_content({ model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, labels: labels, safety_settings: safety_settings, generation_config: generation_config }, call_options) do |_result, response|
           assert_equal http_response, response.underlying_op
         end
 
         # Use protobuf object with options
-        client.generate_content(::Google::Cloud::AIPlatform::V1::GenerateContentRequest.new(model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, safety_settings: safety_settings, generation_config: generation_config), call_options) do |_result, response|
+        client.generate_content(::Google::Cloud::AIPlatform::V1::GenerateContentRequest.new(model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, labels: labels, safety_settings: safety_settings, generation_config: generation_config), call_options) do |_result, response|
           assert_equal http_response, response.underlying_op
         end
 
@@ -535,6 +536,7 @@ def test_stream_generate_content
     system_instruction = {}
     tools = [{}]
     tool_config = {}
+    labels = {}
     safety_settings = [{}]
     generation_config = {}
 
@@ -552,27 +554,27 @@ def test_stream_generate_content
         end
 
         # Use hash object
-        client.stream_generate_content({ model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, safety_settings: safety_settings, generation_config: generation_config }) do |_result, response|
+        client.stream_generate_content({ model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, labels: labels, safety_settings: safety_settings, generation_config: generation_config }) do |_result, response|
           assert_equal http_response, response.underlying_op
         end.first
 
         # Use named arguments
-        client.stream_generate_content model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, safety_settings: safety_settings, generation_config: generation_config do |_result, response|
+        client.stream_generate_content model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, labels: labels, safety_settings: safety_settings, generation_config: generation_config do |_result, response|
           assert_equal http_response, response.underlying_op
         end.first
 
         # Use protobuf object
-        client.stream_generate_content ::Google::Cloud::AIPlatform::V1::GenerateContentRequest.new(model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, safety_settings: safety_settings, generation_config: generation_config) do |_result, response|
+        client.stream_generate_content ::Google::Cloud::AIPlatform::V1::GenerateContentRequest.new(model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, labels: labels, safety_settings: safety_settings, generation_config: generation_config) do |_result, response|
           assert_equal http_response, response.underlying_op
         end.first
 
         # Use hash object with options
-        client.stream_generate_content({ model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, safety_settings: safety_settings, generation_config: generation_config }, call_options) do |_result, response|
+        client.stream_generate_content({ model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, labels: labels, safety_settings: safety_settings, generation_config: generation_config }, call_options) do |_result, response|
           assert_equal http_response, response.underlying_op
         end.first
 
         # Use protobuf object with options
-        client.stream_generate_content(::Google::Cloud::AIPlatform::V1::GenerateContentRequest.new(model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, safety_settings: safety_settings, generation_config: generation_config), call_options) do |_result, response|
+        client.stream_generate_content(::Google::Cloud::AIPlatform::V1::GenerateContentRequest.new(model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, labels: labels, safety_settings: safety_settings, generation_config: generation_config), call_options) do |_result, response|
           assert_equal http_response, response.underlying_op
         end.first
 
diff --git a/google-cloud-ai_platform-v1/test/google/cloud/ai_platform/v1/prediction_service_test.rb b/google-cloud-ai_platform-v1/test/google/cloud/ai_platform/v1/prediction_service_test.rb
index 14a7c0c3848f..d4a8471c2be7 100644
--- a/google-cloud-ai_platform-v1/test/google/cloud/ai_platform/v1/prediction_service_test.rb
+++ b/google-cloud-ai_platform-v1/test/google/cloud/ai_platform/v1/prediction_service_test.rb
@@ -900,6 +900,7 @@ def test_generate_content
     system_instruction = {}
     tools = [{}]
     tool_config = {}
+    labels = {}
     safety_settings = [{}]
     generation_config = {}
 
@@ -912,6 +913,7 @@ def test_generate_content
       assert request.has_system_instruction?
       assert_kind_of ::Google::Cloud::AIPlatform::V1::Tool, request["tools"].first
       assert_equal Gapic::Protobuf.coerce({}, to: ::Google::Cloud::AIPlatform::V1::ToolConfig), request["tool_config"]
+      assert_equal({}, request["labels"].to_h)
       assert_kind_of ::Google::Cloud::AIPlatform::V1::SafetySetting, request["safety_settings"].first
       assert_equal Gapic::Protobuf.coerce({}, to: ::Google::Cloud::AIPlatform::V1::GenerationConfig), request["generation_config"]
       refute_nil options
@@ -924,31 +926,31 @@ def test_generate_content
       end
 
       # Use hash object
-      client.generate_content({ model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, safety_settings: safety_settings, generation_config: generation_config }) do |response, operation|
+      client.generate_content({ model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, labels: labels, safety_settings: safety_settings, generation_config: generation_config }) do |response, operation|
         assert_equal grpc_response, response
         assert_equal grpc_operation, operation
       end
 
       # Use named arguments
-      client.generate_content model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, safety_settings: safety_settings, generation_config: generation_config do |response, operation|
+      client.generate_content model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, labels: labels, safety_settings: safety_settings, generation_config: generation_config do |response, operation|
         assert_equal grpc_response, response
         assert_equal grpc_operation, operation
       end
 
       # Use protobuf object
-      client.generate_content ::Google::Cloud::AIPlatform::V1::GenerateContentRequest.new(model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, safety_settings: safety_settings, generation_config: generation_config) do |response, operation|
+      client.generate_content ::Google::Cloud::AIPlatform::V1::GenerateContentRequest.new(model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, labels: labels, safety_settings: safety_settings, generation_config: generation_config) do |response, operation|
         assert_equal grpc_response, response
         assert_equal grpc_operation, operation
       end
 
       # Use hash object with options
-      client.generate_content({ model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, safety_settings: safety_settings, generation_config: generation_config }, grpc_options) do |response, operation|
+      client.generate_content({ model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, labels: labels, safety_settings: safety_settings, generation_config: generation_config }, grpc_options) do |response, operation|
         assert_equal grpc_response, response
         assert_equal grpc_operation, operation
       end
 
       # Use protobuf object with options
-      client.generate_content(::Google::Cloud::AIPlatform::V1::GenerateContentRequest.new(model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, safety_settings: safety_settings, generation_config: generation_config), grpc_options) do |response, operation|
+      client.generate_content(::Google::Cloud::AIPlatform::V1::GenerateContentRequest.new(model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, labels: labels, safety_settings: safety_settings, generation_config: generation_config), grpc_options) do |response, operation|
         assert_equal grpc_response, response
         assert_equal grpc_operation, operation
       end
@@ -971,6 +973,7 @@ def test_stream_generate_content
     system_instruction = {}
     tools = [{}]
     tool_config = {}
+    labels = {}
     safety_settings = [{}]
     generation_config = {}
 
@@ -983,6 +986,7 @@ def test_stream_generate_content
       assert request.has_system_instruction?
       assert_kind_of ::Google::Cloud::AIPlatform::V1::Tool, request["tools"].first
       assert_equal Gapic::Protobuf.coerce({}, to: ::Google::Cloud::AIPlatform::V1::ToolConfig), request["tool_config"]
+      assert_equal({}, request["labels"].to_h)
       assert_kind_of ::Google::Cloud::AIPlatform::V1::SafetySetting, request["safety_settings"].first
       assert_equal Gapic::Protobuf.coerce({}, to: ::Google::Cloud::AIPlatform::V1::GenerationConfig), request["generation_config"]
       refute_nil options
@@ -995,7 +999,7 @@ def test_stream_generate_content
       end
 
       # Use hash object
-      client.stream_generate_content({ model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, safety_settings: safety_settings, generation_config: generation_config }) do |response, operation|
+      client.stream_generate_content({ model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, labels: labels, safety_settings: safety_settings, generation_config: generation_config }) do |response, operation|
         assert_kind_of Enumerable, response
         response.to_a.each do |r|
           assert_kind_of ::Google::Cloud::AIPlatform::V1::GenerateContentResponse, r
@@ -1004,7 +1008,7 @@ def test_stream_generate_content
       end
 
       # Use named arguments
-      client.stream_generate_content model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, safety_settings: safety_settings, generation_config: generation_config do |response, operation|
+      client.stream_generate_content model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, labels: labels, safety_settings: safety_settings, generation_config: generation_config do |response, operation|
         assert_kind_of Enumerable, response
         response.to_a.each do |r|
           assert_kind_of ::Google::Cloud::AIPlatform::V1::GenerateContentResponse, r
@@ -1013,7 +1017,7 @@ def test_stream_generate_content
       end
 
       # Use protobuf object
-      client.stream_generate_content ::Google::Cloud::AIPlatform::V1::GenerateContentRequest.new(model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, safety_settings: safety_settings, generation_config: generation_config) do |response, operation|
+      client.stream_generate_content ::Google::Cloud::AIPlatform::V1::GenerateContentRequest.new(model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, labels: labels, safety_settings: safety_settings, generation_config: generation_config) do |response, operation|
         assert_kind_of Enumerable, response
         response.to_a.each do |r|
           assert_kind_of ::Google::Cloud::AIPlatform::V1::GenerateContentResponse, r
@@ -1022,7 +1026,7 @@ def test_stream_generate_content
       end
 
       # Use hash object with options
-      client.stream_generate_content({ model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, safety_settings: safety_settings, generation_config: generation_config }, grpc_options) do |response, operation|
+      client.stream_generate_content({ model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, labels: labels, safety_settings: safety_settings, generation_config: generation_config }, grpc_options) do |response, operation|
         assert_kind_of Enumerable, response
         response.to_a.each do |r|
           assert_kind_of ::Google::Cloud::AIPlatform::V1::GenerateContentResponse, r
@@ -1031,7 +1035,7 @@ def test_stream_generate_content
       end
 
       # Use protobuf object with options
-      client.stream_generate_content(::Google::Cloud::AIPlatform::V1::GenerateContentRequest.new(model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, safety_settings: safety_settings, generation_config: generation_config), grpc_options) do |response, operation|
+      client.stream_generate_content(::Google::Cloud::AIPlatform::V1::GenerateContentRequest.new(model: model, contents: contents, system_instruction: system_instruction, tools: tools, tool_config: tool_config, labels: labels, safety_settings: safety_settings, generation_config: generation_config), grpc_options) do |response, operation|
         assert_kind_of Enumerable, response
         response.to_a.each do |r|
           assert_kind_of ::Google::Cloud::AIPlatform::V1::GenerateContentResponse, r