feat(all): auto-regenerate discovery clients (#3241)

Author: yoshi-automation

aiplatform/v1/aiplatform-api.json

@@ -4543,6 +4543,11 @@
                       "location": "query",
                       "type": "string"
                     },
+                    "gdcZone": {
+                      "description": "Optional. Configures the Google Distributed Cloud (GDC) environment for online prediction. Only set this field when the Endpoint is to be deployed in a GDC environment.",
+                      "location": "query",
+                      "type": "string"
+                    },
                     "orderBy": {
                       "description": "A comma-separated list of fields to order by, sorted in ascending order. Use \"desc\" after a field name for descending. Supported fields: * `display_name` * `create_time` * `update_time` Example: `display_name, create_time desc`.",
                       "location": "query",
@@ -4582,7 +4587,7 @@
                   ]
                 },
                 "mutateDeployedModel": {
-                  "description": "Updates an existing deployed model. Updatable fields include `min_replica_count`, `max_replica_count`, `autoscaling_metric_specs`, `disable_container_logging` (v1 only), and `enable_container_logging` (v1beta1 only).",
+                  "description": "Updates an existing deployed model. Updatable fields include `min_replica_count`, `max_replica_count`, `required_replica_count`, `autoscaling_metric_specs`, `disable_container_logging` (v1 only), and `enable_container_logging` (v1beta1 only).",
                   "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/endpoints/{endpointsId}:mutateDeployedModel",
                   "httpMethod": "POST",
                   "id": "aiplatform.projects.locations.endpoints.mutateDeployedModel",
@@ -20253,7 +20258,7 @@
       }
     }
   },
-  "revision": "20250711",
+  "revision": "20250715",
   "rootUrl": "https://aiplatform.googleapis.com/",
   "schemas": {
     "CloudAiLargeModelsVisionGenerateVideoResponse": {
@@ -24410,6 +24415,10 @@
         "modelDisplayName": {
           "description": "Optional. The user-specified display name of the uploaded model. If not set, a default name will be used.",
           "type": "string"
+        },
+        "modelUserId": {
+          "description": "Optional. The ID to use for the uploaded Model, which will become the final component of the model resource name. When not provided, Vertex AI will generate a value for this ID. When Model Registry model is provided, this field will be ignored. This value may be up to 63 characters, and valid characters are `[a-z0-9_-]`. The first character cannot be a number or hyphen.",
+          "type": "string"
         }
       },
       "type": "object"
@@ -24608,6 +24617,10 @@
           "$ref": "GoogleCloudAiplatformV1FasterDeploymentConfig",
           "description": "Configuration for faster model deployment."
         },
+        "gdcConnectedModel": {
+          "description": "GDC pretrained / Gemini model name. The model name is a plain model name, e.g. gemini-1.5-flash-002.",
+          "type": "string"
+        },
         "id": {
           "description": "Immutable. The ID of the DeployedModel. If not provided upon deployment, Vertex AI will generate a value for this ID. This value should be 1-10 characters, and valid characters are `/[0-9]/`.",
           "type": "string"
@@ -24960,6 +24973,10 @@
           "description": "Used to perform consistent read-modify-write updates. If not set, a blind \"overwrite\" update happens.",
           "type": "string"
         },
+        "gdcConfig": {
+          "$ref": "GoogleCloudAiplatformV1GdcConfig",
+          "description": "Configures the Google Distributed Cloud (GDC) environment for online prediction. Only set this field when the Endpoint is to be deployed in a GDC environment."
+        },
         "genAiAdvancedFeaturesConfig": {
           "$ref": "GoogleCloudAiplatformV1GenAiAdvancedFeaturesConfig",
           "description": "Optional. Configuration for GenAiAdvancedFeatures. If the endpoint is serving GenAI models, advanced features like native RAG integration can be configured. Currently, only Model Garden models are supported."
@@ -28374,6 +28391,17 @@
       },
       "type": "object"
     },
+    "GoogleCloudAiplatformV1GdcConfig": {
+      "description": "Google Distributed Cloud (GDC) config.",
+      "id": "GoogleCloudAiplatformV1GdcConfig",
+      "properties": {
+        "zone": {
+          "description": "GDC zone. A cluster will be designated for the Vertex AI workload in this zone.",
+          "type": "string"
+        }
+      },
+      "type": "object"
+    },
     "GoogleCloudAiplatformV1GenAiAdvancedFeaturesConfig": {
       "description": "Configuration for GenAiAdvancedFeatures.",
       "id": "GoogleCloudAiplatformV1GenAiAdvancedFeaturesConfig",
@@ -33045,7 +33073,7 @@
       "properties": {
         "deployedModel": {
           "$ref": "GoogleCloudAiplatformV1DeployedModel",
-          "description": "Required. The DeployedModel to be mutated within the Endpoint. Only the following fields can be mutated: * `min_replica_count` in either DedicatedResources or AutomaticResources * `max_replica_count` in either DedicatedResources or AutomaticResources * autoscaling_metric_specs * `disable_container_logging` (v1 only) * `enable_container_logging` (v1beta1 only)"
+          "description": "Required. The DeployedModel to be mutated within the Endpoint. Only the following fields can be mutated: * `min_replica_count` in either DedicatedResources or AutomaticResources * `max_replica_count` in either DedicatedResources or AutomaticResources * `required_replica_count` in DedicatedResources * autoscaling_metric_specs * `disable_container_logging` (v1 only) * `enable_container_logging` (v1beta1 only)"
         },
         "updateMask": {
           "description": "Required. The update mask applies to the resource. See google.protobuf.FieldMask.",
@@ -44628,7 +44656,7 @@
           "type": "string"
         },
         "learningRateMultiplier": {
-          "description": "Optional. Multiplier for adjusting the default learning rate. Mutually exclusive with `learning_rate`.",
+          "description": "Optional. Multiplier for adjusting the default learning rate. Mutually exclusive with `learning_rate`. This feature is only available for 1P models.",
           "format": "double",
           "type": "number"
         }