feat: add enable_datapoint_upsert_logging to google.cloud.aiplatform.v1.DeployedIndex (#6542)

* build: add scripts to publish to Bazel Central Registry (BCR)

PiperOrigin-RevId: 788097378

chore: regenerate gapic yaml and service yaml for privilegedaccessmanager by augmentation configs

PiperOrigin-RevId: 788127000

chore: regenerate gapic yaml and service yaml for recaptchaenterprise beta by augmentation configs

PiperOrigin-RevId: 788127088

chore: regenerate gapic yaml and service yaml for recaptchaenterprise by augmentation configs

PiperOrigin-RevId: 788127191

chore: regenerate gapic yaml and service yaml for config by augmentation configs

PiperOrigin-RevId: 788127291

chore: regenerate gapic yaml and service yaml for metastore alpha by augmentation configs

PiperOrigin-RevId: 788127383

build: include all contents of the .bcr folder

PiperOrigin-RevId: 788127546

feat: Remove private preview label from Model Armor protos

PiperOrigin-RevId: 788251106

feat: add a FooBar API

PiperOrigin-RevId: 788269006

feat: add the VeoTuningSpec

PiperOrigin-RevId: 788536453

docs: update comments for rpc BatchCreatePullRequestComments, ResolvePullRequestComments and UnresolvePullRequestComments

PiperOrigin-RevId: 788541778

build: include .bazelignore in this repository

PiperOrigin-RevId: 788552876

Source-Link: googleapis/googleapis@8e5eb7e

Source-Link: googleapis/googleapis-gen@c594542
Copy-Tag: eyJwIjoicGFja2FnZXMvZ29vZ2xlLWNsb3VkLWFpcGxhdGZvcm0vLk93bEJvdC55YW1sIiwiaCI6ImM1OTQ1NDI0NWZkYzJiOGFjODI5Zjc2YjRjNzk3MmU0M2I0NmM3NmQifQ==

* 🦉 Updates from OwlBot post-processor

See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md

* feat: add enable_datapoint_upsert_logging to google.cloud.aiplatform.v1.DeployedIndex

PiperOrigin-RevId: 788600466

Source-Link: googleapis/googleapis@1bc3759

Source-Link: googleapis/googleapis-gen@6e29fb0
Copy-Tag: eyJwIjoicGFja2FnZXMvZ29vZ2xlLWNsb3VkLWFpcGxhdGZvcm0vLk93bEJvdC55YW1sIiwiaCI6IjZlMjlmYjBiYzFiYjViYzc4ODMzYjdkYTkzMjkyNGYyZjdlOGE0NjEifQ==

* 🦉 Updates from OwlBot post-processor

See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md

---------

Co-authored-by: Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>

Author: gcf-owl-bot[bot]

packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1beta1/content.proto

@@ -32,6 +32,10 @@ option java_outer_classname = "ContentProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
 option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
 option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
+option (google.api.resource_definition) = {
+  type: "modelarmor.googleapis.com/Template"
+  pattern: "projects/{project}/locations/{location}/templates/{template}"
+};
 
 // Harm categories that will block the content.
 enum HarmCategory {
@@ -596,6 +600,9 @@ message Candidate {
 
     // The function call generated by the model is invalid.
     MALFORMED_FUNCTION_CALL = 9;
+
+    // The model response was blocked by Model Armor.
+    MODEL_ARMOR = 10;
   }
 
   // Output only. Index of the candidate.
@@ -819,6 +826,27 @@ message RetrievalMetadata {
       [(google.api.field_behavior) = OPTIONAL];
 }
 
+// Configuration for Model Armor integrations of prompt and responses.
+message ModelArmorConfig {
+  // Optional. The name of the Model Armor template to use for prompt
+  // sanitization.
+  string prompt_template_name = 1 [
+    (google.api.field_behavior) = OPTIONAL,
+    (google.api.resource_reference) = {
+      type: "modelarmor.googleapis.com/Template"
+    }
+  ];
+
+  // Optional. The name of the Model Armor template to use for response
+  // sanitization.
+  string response_template_name = 2 [
+    (google.api.field_behavior) = OPTIONAL,
+    (google.api.resource_reference) = {
+      type: "modelarmor.googleapis.com/Template"
+    }
+  ];
+}
+
 // Represents token counting info for a single modality.
 message ModalityTokenCount {
   // The modality associated with this token count.

packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1beta1/index_endpoint.proto

@@ -228,6 +228,19 @@ message DeployedIndex {
   // Estimate your costs before enabling this option.
   bool enable_access_logging = 8 [(google.api.field_behavior) = OPTIONAL];
 
+  // Optional. If true, logs to Cloud Logging errors relating to datapoint
+  // upserts.
+  //
+  // Under normal operation conditions, these log entries should be very rare.
+  // However, if incompatible datapoint updates are being uploaded to an index,
+  // a high volume of log entries may be generated in a short period of time.
+  //
+  // Note that logs may incur a cost, especially if the deployed index receives
+  // a high volume of datapoint upserts. Estimate your costs before enabling
+  // this option.
+  bool enable_datapoint_upsert_logging = 20
+      [(google.api.field_behavior) = OPTIONAL];
+
   // Optional. If set, the authentication is enabled for the private endpoint.
   DeployedIndexAuthConfig deployed_index_auth_config = 9
       [(google.api.field_behavior) = OPTIONAL];

packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1beta1/prediction_service.proto

@@ -800,6 +800,11 @@ message GenerateContentRequest {
   repeated SafetySetting safety_settings = 3
       [(google.api.field_behavior) = OPTIONAL];
 
+  // Optional. Settings for prompt and response sanitization using the Model
+  // Armor service. If supplied, safety_settings must not be supplied.
+  ModelArmorConfig model_armor_config = 11
+      [(google.api.field_behavior) = OPTIONAL];
+
   // Optional. Generation config.
   GenerationConfig generation_config = 4
       [(google.api.field_behavior) = OPTIONAL];
@@ -826,6 +831,9 @@ message GenerateContentResponse {
 
       // Candidates blocked due to prohibited content.
       PROHIBITED_CONTENT = 4;
+
+      // The user prompt was blocked by Model Armor.
+      MODEL_ARMOR = 5;
     }
 
     // Output only. Blocked reason.

packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1beta1/tuning_job.proto

@@ -57,6 +57,9 @@ message TuningJob {
 
     // Tuning Spec for open sourced and third party Partner models.
     PartnerModelTuningSpec partner_model_tuning_spec = 21;
+
+    // Tuning Spec for Veo Tuning.
+    VeoTuningSpec veo_tuning_spec = 33;
   }
 
   // Output only. Identifier. Resource name of a TuningJob. Format:
@@ -577,6 +580,48 @@ message TunedModelRef {
   }
 }
 
+// Hyperparameters for Veo.
+message VeoHyperParameters {
+  // An enum defining the tuning task used for Veo.
+  enum TuningTask {
+    // Default value. This value is unused.
+    TUNING_TASK_UNSPECIFIED = 0;
+
+    // Tuning task for image to video.
+    TUNING_TASK_I2V = 1;
+
+    // Tuning task for text to video.
+    TUNING_TASK_T2V = 2;
+  }
+
+  // Optional. Number of complete passes the model makes over the entire
+  // training dataset during training.
+  int64 epoch_count = 1 [(google.api.field_behavior) = OPTIONAL];
+
+  // Optional. Multiplier for adjusting the default learning rate.
+  double learning_rate_multiplier = 2 [(google.api.field_behavior) = OPTIONAL];
+
+  // Optional. The tuning task. Either I2V or T2V.
+  TuningTask tuning_task = 3 [(google.api.field_behavior) = OPTIONAL];
+}
+
+// Tuning Spec for Veo Model Tuning.
+message VeoTuningSpec {
+  // Required. Training dataset used for tuning. The dataset can be specified as
+  // either a Cloud Storage path to a JSONL file or as the resource name of a
+  // Vertex Multimodal Dataset.
+  string training_dataset_uri = 1 [(google.api.field_behavior) = REQUIRED];
+
+  // Optional. Validation dataset used for tuning. The dataset can be specified
+  // as either a Cloud Storage path to a JSONL file or as the resource name of a
+  // Vertex Multimodal Dataset.
+  string validation_dataset_uri = 2 [(google.api.field_behavior) = OPTIONAL];
+
+  // Optional. Hyperparameters for Veo.
+  VeoHyperParameters hyper_parameters = 3
+      [(google.api.field_behavior) = OPTIONAL];
+}
+
 // TunedModelCheckpoint for the Tuned Model of a Tuning Job.
 message TunedModelCheckpoint {
   // The ID of the checkpoint.