feat(all): auto-regenerate discovery clients (#2369)

aiplatform/v1beta1/aiplatform-api.json

@@ -5072,7 +5072,7 @@
                       "type": "string"
                     },
                     "parent": {
-                      "description": "Required. The resource name of the Location to create FeatureOnlineStores. Format: `projects/{project}/locations/{location}'`",
+                      "description": "Required. The resource name of the Location to create FeatureOnlineStores. Format: `projects/{project}/locations/{location}`",
                       "location": "path",
                       "pattern": "^projects/[^/]+/locations/[^/]+$",
                       "required": true,
@@ -17279,7 +17279,7 @@
       }
     }
   },
-  "revision": "20240105",
+  "revision": "20240117",
   "rootUrl": "https://aiplatform.googleapis.com/",
   "schemas": {
     "CloudAiLargeModelsVisionEmbedVideoResponse": {
@@ -17989,7 +17989,7 @@
           "type": "boolean"
         },
         "languageFilterResult": {
-          "$ref": "LearningServingLlmLanguageFilterResult",
+          "$ref": "LearningGenaiRootLanguageFilterResult",
           "description": "Language filter result from SAFT LangId."
         },
         "raiSignals": {
@@ -20050,6 +20050,10 @@
         "genericMetadata": {
           "$ref": "GoogleCloudAiplatformV1beta1GenericOperationMetadata",
           "description": "Operation metadata for PersistentResource."
+        },
+        "progressMessage": {
+          "description": "Progress Message for Create LRO",
+          "type": "string"
         }
       },
       "type": "object"
@@ -26210,7 +26214,7 @@
         },
         "modelSourceInfo": {
           "$ref": "GoogleCloudAiplatformV1beta1ModelSourceInfo",
-          "description": "Output only. Source of a model. It can either be automl training pipeline, custom training pipeline, BigQuery ML, or existing Vertex AI Model.",
+          "description": "Output only. Source of a model. It can either be automl training pipeline, custom training pipeline, BigQuery ML, or saved and tuned from Genie or Model Garden.",
           "readOnly": true
         },
         "name": {
@@ -27772,7 +27776,12 @@
             "INVALID_AVRO_SYNTAX",
             "INVALID_EMBEDDING_ID",
             "EMBEDDING_SIZE_MISMATCH",
-            "NAMESPACE_MISSING"
+            "NAMESPACE_MISSING",
+            "PARSING_ERROR",
+            "DUPLICATE_NAMESPACE",
+            "OP_IN_DATAPOINT",
+            "MULTIPLE_VALUES",
+            "INVALID_NUMERIC_VALUE"
           ],
           "enumDescriptions": [
             "Default, shall not be used.",
@@ -27782,7 +27791,12 @@
             "Invalid avro format.",
             "The embedding id is not valid.",
             "The size of the embedding vectors does not match with the specified dimension.",
-            "The `namespace` field is missing."
+            "The `namespace` field is missing.",
+            "Generic catch-all error. Only used for validation failure where the root cause cannot be easily retrieved programmatically.",
+            "There are multiple restricts with the same `namespace` value.",
+            "Numeric restrict has operator specified in datapoint.",
+            "Numeric restrict has multiple values specified.",
+            "Numeric restrict has invalid numeric value specified."
           ],
           "type": "string"
         },
@@ -28514,6 +28528,10 @@
       "description": "The runtime config of a PipelineJob.",
       "id": "GoogleCloudAiplatformV1beta1PipelineJobRuntimeConfig",
       "properties": {
+        "defaultRuntime": {
+          "$ref": "GoogleCloudAiplatformV1beta1PipelineJobRuntimeConfigDefaultRuntime",
+          "description": "Optional. The default runtime for the PipelineJob. If not provided, Vertex Custom Job is used as the runtime. For Vertex Custom Job, please refer to https://cloud.google.com/vertex-ai/docs/training/overview"
+        },
         "failurePolicy": {
           "description": "Represents the failure policy of a pipeline. Currently, the default of a pipeline is that the pipeline will continue to run until no more tasks can be executed, also known as PIPELINE_FAILURE_POLICY_FAIL_SLOW. However, if a pipeline is set to PIPELINE_FAILURE_POLICY_FAIL_FAST, it will stop scheduling any new tasks when a task has failed. Any scheduled tasks will continue to completion.",
           "enum": [
@@ -28557,6 +28575,17 @@
       },
       "type": "object"
     },
+    "GoogleCloudAiplatformV1beta1PipelineJobRuntimeConfigDefaultRuntime": {
+      "description": "The default runtime for the PipelineJob.",
+      "id": "GoogleCloudAiplatformV1beta1PipelineJobRuntimeConfigDefaultRuntime",
+      "properties": {
+        "persistentResourceRuntimeDetail": {
+          "$ref": "GoogleCloudAiplatformV1beta1PipelineJobRuntimeConfigPersistentResourceRuntimeDetail",
+          "description": "Persistent resource based runtime detail."
+        }
+      },
+      "type": "object"
+    },
     "GoogleCloudAiplatformV1beta1PipelineJobRuntimeConfigInputArtifact": {
       "description": "The type of an input artifact.",
       "id": "GoogleCloudAiplatformV1beta1PipelineJobRuntimeConfigInputArtifact",
@@ -28568,6 +28597,17 @@
       },
       "type": "object"
     },
+    "GoogleCloudAiplatformV1beta1PipelineJobRuntimeConfigPersistentResourceRuntimeDetail": {
+      "description": "Persistent resource based runtime detail. For more information, refer to https://cloud.google.com/vertex-ai/docs/training/persistent-resource-overview",
+      "id": "GoogleCloudAiplatformV1beta1PipelineJobRuntimeConfigPersistentResourceRuntimeDetail",
+      "properties": {
+        "persistentResourceName": {
+          "description": "Persistent resource name. Format: `projects/{project}/locations/{location}/persistentResources/{persistent_resource}`",
+          "type": "string"
+        }
+      },
+      "type": "object"
+    },
     "GoogleCloudAiplatformV1beta1PipelineTaskDetail": {
       "description": "The runtime detail of a task execution.",
       "id": "GoogleCloudAiplatformV1beta1PipelineTaskDetail",
@@ -29899,7 +29939,7 @@
       "type": "object"
     },
     "GoogleCloudAiplatformV1beta1ReportRuntimeEventRequest": {
-      "description": "LINT.IfChange(report_event_message_types) Request message for NotebookInternalService.ReportRuntimeEvent.",
+      "description": "Request message for NotebookInternalService.ReportRuntimeEvent.",
       "id": "GoogleCloudAiplatformV1beta1ReportRuntimeEventRequest",
       "properties": {
         "eventDetails": {
@@ -36187,6 +36227,10 @@
         "genericMetadata": {
           "$ref": "GoogleCloudAiplatformV1beta1GenericOperationMetadata",
           "description": "Operation metadata for PersistentResource."
+        },
+        "progressMessage": {
+          "description": "Progress Message for Update LRO",
+          "type": "string"
         }
       },
       "type": "object"
@@ -36924,7 +36968,7 @@
       "type": "object"
     },
     "LanguageLabsAidaTrustRecitationProtoDocAttribution": {
-      "description": "The proto defines the attribution information for a document using whatever fields are most applicable for that document's datasource. For example, a Wikipedia article's attribution is in the form of its article title, a website is in the form of a URL, and a Github repo is in the form of a repo name. Next id:28",
+      "description": "The proto defines the attribution information for a document using whatever fields are most applicable for that document's datasource. For example, a Wikipedia article's attribution is in the form of its article title, a website is in the form of a URL, and a Github repo is in the form of a repo name. Next id: 30",
       "id": "LanguageLabsAidaTrustRecitationProtoDocAttribution",
       "properties": {
         "amarnaId": {
@@ -36939,6 +36983,10 @@
         "bibkey": {
           "type": "string"
         },
+        "biorxivId": {
+          "description": "ID of the paper in bioarxiv like ddoi.org/{biorxiv_id} eg: https://doi.org/10.1101/343517",
+          "type": "string"
+        },
         "bookTitle": {
           "type": "string"
         },
@@ -37648,6 +37696,10 @@
         "wikipediaArticleTitle": {
           "description": "Wikipedia article title. The Wikipedia TFDS dataset includes article titles but not URLs. While a URL is to the best of our knowledge a deterministic function of the title, we store the original title to reflect the information in the original dataset.",
           "type": "string"
+        },
+        "youtubeVideoId": {
+          "description": "The unique video id from Youtube. Example: AkoGsW52Ir0",
+          "type": "string"
         }
       },
       "type": "object"
@@ -38406,7 +38458,7 @@
       "type": "object"
     },
     "LearningGenaiRecitationDocAttribution": {
-      "description": "The proto defines the attribution information for a document using whatever fields are most applicable for that document's datasource. For example, a Wikipedia article's attribution is in the form of its article title, a website is in the form of a URL, and a Github repo is in the form of a repo name. Next id: 28",
+      "description": "The proto defines the attribution information for a document using whatever fields are most applicable for that document's datasource. For example, a Wikipedia article's attribution is in the form of its article title, a website is in the form of a URL, and a Github repo is in the form of a repo name. Next id: 30",
       "id": "LearningGenaiRecitationDocAttribution",
       "properties": {
         "amarnaId": {
@@ -38421,6 +38473,10 @@
         "bibkey": {
           "type": "string"
         },
+        "biorxivId": {
+          "description": "ID of the paper in bioarxiv like ddoi.org/{biorxiv_id} eg: https://doi.org/10.1101/343517",
+          "type": "string"
+        },
         "bookTitle": {
           "type": "string"
         },
@@ -39116,6 +39172,9 @@
         "wikipediaArticleTitle": {
           "description": "Wikipedia article title. The Wikipedia TFDS dataset includes article titles but not URLs. While a URL is to the best of our knowledge a deterministic function of the title, we store the original title to reflect the information in the original dataset.",
           "type": "string"
+        },
+        "youtubeVideoId": {
+          "type": "string"
         }
       },
       "type": "object"
@@ -40075,7 +40134,7 @@
           "type": "string"
         },
         "languageFilterResult": {
-          "$ref": "LearningServingLlmLanguageFilterResult"
+          "$ref": "LearningGenaiRootLanguageFilterResult"
         },
         "raiOutput": {
           "$ref": "LearningGenaiRootRAIOutput",
@@ -40101,6 +40160,54 @@
       },
       "type": "object"
     },
+    "LearningGenaiRootGroundingMetadata": {
+      "id": "LearningGenaiRootGroundingMetadata",
+      "properties": {
+        "citations": {
+          "items": {
+            "$ref": "LearningGenaiRootGroundingMetadataCitation"
+          },
+          "type": "array"
+        },
+        "groundingCancelled": {
+          "description": "True if grounding is cancelled, for example, no facts being retrieved.",
+          "type": "boolean"
+        },
+        "searchQueries": {
+          "items": {
+            "type": "string"
+          },
+          "type": "array"
+        }
+      },
+      "type": "object"
+    },
+    "LearningGenaiRootGroundingMetadataCitation": {
+      "id": "LearningGenaiRootGroundingMetadataCitation",
+      "properties": {
+        "endIndex": {
+          "description": "Index in the prediction output where the citation ends (exclusive). Must be \u003e start_index and \u003c len(output).",
+          "format": "int32",
+          "type": "integer"
+        },
+        "factIndex": {
+          "description": "Index of the fact supporting this claim. Should be within the range of the `world_facts` in the GenerateResponse.",
+          "format": "int32",
+          "type": "integer"
+        },
+        "score": {
+          "description": "Confidence score of this entailment. Value is [0,1] with 1 is the most confidence.",
+          "format": "double",
+          "type": "number"
+        },
+        "startIndex": {
+          "description": "Index in the prediction output where the citation starts (inclusive). Must be \u003e= 0 and \u003c end_index.",
+          "format": "int32",
+          "type": "integer"
+        }
+      },
+      "type": "object"
+    },
     "LearningGenaiRootHarm": {
       "id": "LearningGenaiRootHarm",
       "properties": {
@@ -40335,6 +40442,25 @@
       },
       "type": "object"
     },
+    "LearningGenaiRootLanguageFilterResult": {
+      "id": "LearningGenaiRootLanguageFilterResult",
+      "properties": {
+        "allowed": {
+          "description": "False when query or response should be filtered out due to unsupported language.",
+          "type": "boolean"
+        },
+        "detectedLanguage": {
+          "description": "Language of the query or response.",
+          "type": "string"
+        },
+        "detectedLanguageProbability": {
+          "description": "Probability of the language predicted as returned by LangID.",
+          "format": "float",
+          "type": "number"
+        }
+      },
+      "type": "object"
+    },
     "LearningGenaiRootMetricOutput": {
       "id": "LearningGenaiRootMetricOutput",
       "properties": {
@@ -40811,25 +40937,6 @@
       },
       "type": "object"
     },
-    "LearningServingLlmLanguageFilterResult": {
-      "id": "LearningServingLlmLanguageFilterResult",
-      "properties": {
-        "allowed": {
-          "description": "False when query or response should be filtered out due to unsupported language.",
-          "type": "boolean"
-        },
-        "detectedLanguage": {
-          "description": "Language of the query or response.",
-          "type": "string"
-        },
-        "detectedLanguageProbability": {
-          "description": "Probability of the language predicted as returned by LangID.",
-          "format": "float",
-          "type": "number"
-        }
-      },
-      "type": "object"
-    },
     "LearningServingLlmMessageMetadata": {
       "description": "LINT.IfChange This metadata contains additional information required for debugging.",
       "id": "LearningServingLlmMessageMetadata",
@@ -40875,6 +40982,9 @@
           ],
           "type": "string"
         },
+        "groundingMetadata": {
+          "$ref": "LearningGenaiRootGroundingMetadata"
+        },
         "isFallback": {
           "description": "Applies to Response message only. Indicates whether the message is a fallback and the response would have otherwise been empty.",
           "type": "boolean"