feat(all): auto-regenerate discovery clients

accessapproval/v1/accessapproval-api.json

@@ -913,7 +913,7 @@
       }
     }
   },
-  "revision": "20240820",
+  "revision": "20250206",
   "rootUrl": "https://accessapproval.googleapis.com/",
   "schemas": {
     "AccessApprovalServiceAccount": {
@@ -1294,7 +1294,9 @@
             "HMAC_SHA384",
             "HMAC_SHA512",
             "HMAC_SHA224",
-            "EXTERNAL_SYMMETRIC_ENCRYPTION"
+            "EXTERNAL_SYMMETRIC_ENCRYPTION",
+            "PQ_SIGN_ML_DSA_65",
+            "PQ_SIGN_SLH_DSA_SHA2_128S"
           ],
           "enumDescriptions": [
             "Not specified.",
@@ -1332,7 +1334,9 @@
             "HMAC-SHA384 signing with a 384 bit key.",
             "HMAC-SHA512 signing with a 512 bit key.",
             "HMAC-SHA224 signing with a 224 bit key.",
-            "Algorithm representing symmetric encryption by an external key manager."
+            "Algorithm representing symmetric encryption by an external key manager.",
+            "The post-quantum Module-Lattice-Based Digital Signature Algorithm, at security level 3. Randomized version.",
+            "The post-quantum stateless hash-based digital signature algorithm, at security level 1. Randomized version."
           ],
           "type": "string"
         },

aiplatform/v1/aiplatform-api.json

@@ -4900,7 +4900,7 @@
                       "type": "string"
                     },
                     "updateMask": {
-                      "description": "Field mask is used to specify the fields to be overwritten in the FeatureGroup resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field will be overwritten if it is in the mask. If the user does not provide a mask then only the non-empty fields present in the request will be overwritten. Set the update_mask to `*` to override all fields. Updatable fields: * `labels` * `description` * `big_query` * `big_query.entity_id_columns`",
+                      "description": "Field mask is used to specify the fields to be overwritten in the FeatureGroup resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field will be overwritten if it is in the mask. If the user does not provide a mask then only the non-empty fields present in the request will be overwritten. Set the update_mask to `*` to override all fields. Updatable fields: * `labels` * `description` * `big_query` * `big_query.entity_id_columns` * `service_agent_type`",
                       "format": "google-fieldmask",
                       "location": "query",
                       "type": "string"
@@ -19421,7 +19421,7 @@
       }
     }
   },
-  "revision": "20250131",
+  "revision": "20250205",
   "rootUrl": "https://aiplatform.googleapis.com/",
   "schemas": {
     "CloudAiLargeModelsVisionGenerateVideoResponse": {
@@ -20273,6 +20273,26 @@
       },
       "type": "object"
     },
+    "GoogleCloudAiplatformV1AutoraterConfig": {
+      "description": "The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.",
+      "id": "GoogleCloudAiplatformV1AutoraterConfig",
+      "properties": {
+        "autoraterModel": {
+          "description": "Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`",
+          "type": "string"
+        },
+        "flipEnabled": {
+          "description": "Optional. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.",
+          "type": "boolean"
+        },
+        "samplingCount": {
+          "description": "Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.",
+          "format": "int32",
+          "type": "integer"
+        }
+      },
+      "type": "object"
+    },
     "GoogleCloudAiplatformV1AutoscalingMetricSpec": {
       "description": "The metric specification that defines the target resource utilization (CPU utilization, accelerator's duty cycle, and so on) for calculating the desired replica count.",
       "id": "GoogleCloudAiplatformV1AutoscalingMetricSpec",
@@ -23855,6 +23875,10 @@
       "description": "Request message for EvaluationService.EvaluateInstances.",
       "id": "GoogleCloudAiplatformV1EvaluateInstancesRequest",
       "properties": {
+        "autoraterConfig": {
+          "$ref": "GoogleCloudAiplatformV1AutoraterConfig",
+          "description": "Optional. Autorater config used for evaluation."
+        },
         "bleuInput": {
           "$ref": "GoogleCloudAiplatformV1BleuInput",
           "description": "Instances and metric spec for bleu metric."
@@ -29594,6 +29618,11 @@
           "description": "Immutable. The type of the machine. See the [list of machine types supported for prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types) See the [list of machine types supported for custom training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types). For DeployedModel this field is optional, and the default value is `n1-standard-2`. For BatchPredictionJob or as part of WorkerPoolSpec this field is required.",
           "type": "string"
         },
+        "multihostGpuNodeCount": {
+          "description": "Optional. Immutable. The number of nodes per replica for multihost GPU deployments.",
+          "format": "int32",
+          "type": "integer"
+        },
         "reservationAffinity": {
           "$ref": "GoogleCloudAiplatformV1ReservationAffinity",
           "description": "Optional. Immutable. Configuration controlling how this resource pool consumes reservation."
@@ -30966,7 +30995,7 @@
           "type": "array"
         },
         "id": {
-          "description": "Output only. The ID of the export format. The possible format IDs are: * `tflite` Used for Android mobile devices. * `edgetpu-tflite` Used for [Edge TPU](https://cloud.google.com/edge-tpu/) devices. * `tf-saved-model` A tensorflow model in SavedModel format. * `tf-js` A [TensorFlow.js](https://www.tensorflow.org/js) model that can be used in the browser and in Node.js using JavaScript. * `core-ml` Used for iOS mobile devices. * `custom-trained` A Model that was uploaded or trained by custom code.",
+          "description": "Output only. The ID of the export format. The possible format IDs are: * `tflite` Used for Android mobile devices. * `edgetpu-tflite` Used for [Edge TPU](https://cloud.google.com/edge-tpu/) devices. * `tf-saved-model` A tensorflow model in SavedModel format. * `tf-js` A [TensorFlow.js](https://www.tensorflow.org/js) model that can be used in the browser and in Node.js using JavaScript. * `core-ml` Used for iOS mobile devices. * `custom-trained` A Model that was uploaded or trained by custom code. * `genie` A tuned Model Garden model.",
           "readOnly": true,
           "type": "string"
         }
@@ -32701,9 +32730,21 @@
       "description": "Spec for pairwise metric.",
       "id": "GoogleCloudAiplatformV1PairwiseMetricSpec",
       "properties": {
+        "baselineResponseFieldName": {
+          "description": "Optional. The field name of the baseline response.",
+          "type": "string"
+        },
+        "candidateResponseFieldName": {
+          "description": "Optional. The field name of the candidate response.",
+          "type": "string"
+        },
         "metricPromptTemplate": {
           "description": "Required. Metric prompt template for pairwise metric.",
           "type": "string"
+        },
+        "systemInstruction": {
+          "description": "Optional. System instructions for pairwise metric.",
+          "type": "string"
         }
       },
       "type": "object"
@@ -33590,6 +33631,10 @@
         "metricPromptTemplate": {
           "description": "Required. Metric prompt template for pointwise metric.",
           "type": "string"
+        },
+        "systemInstruction": {
+          "description": "Optional. System instructions for pointwise metric.",
+          "type": "string"
         }
       },
       "type": "object"
@@ -33865,6 +33910,11 @@
           "$ref": "GoogleCloudAiplatformV1ProbeExecAction",
           "description": "ExecAction probes the health of a container by executing a command."
         },
+        "failureThreshold": {
+          "description": "Number of consecutive failures before the probe is considered failed. Defaults to 3. Minimum value is 1. Maps to Kubernetes probe argument 'failureThreshold'.",
+          "format": "int32",
+          "type": "integer"
+        },
         "grpc": {
           "$ref": "GoogleCloudAiplatformV1ProbeGrpcAction",
           "description": "GrpcAction probes the health of a container by sending a gRPC request."
@@ -33873,11 +33923,21 @@
           "$ref": "GoogleCloudAiplatformV1ProbeHttpGetAction",
           "description": "HttpGetAction probes the health of a container by sending an HTTP GET request."
         },
+        "initialDelaySeconds": {
+          "description": "Number of seconds to wait before starting the probe. Defaults to 0. Minimum value is 0. Maps to Kubernetes probe argument 'initialDelaySeconds'.",
+          "format": "int32",
+          "type": "integer"
+        },
         "periodSeconds": {
           "description": "How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1. Must be less than timeout_seconds. Maps to Kubernetes probe argument 'periodSeconds'.",
           "format": "int32",
           "type": "integer"
         },
+        "successThreshold": {
+          "description": "Number of consecutive successes before the probe is considered successful. Defaults to 1. Minimum value is 1. Maps to Kubernetes probe argument 'successThreshold'.",
+          "format": "int32",
+          "type": "integer"
+        },
         "tcpSocket": {
           "$ref": "GoogleCloudAiplatformV1ProbeTcpSocketAction",
           "description": "TcpSocketAction probes the health of a container by opening a TCP socket connection."