feat(all): auto-regenerate discovery clients (#3151)

Author: yoshi-automation

aiplatform/v1/aiplatform-api.json

@@ -15785,7 +15785,7 @@
                   ],
                   "parameters": {
                     "name": {
-                      "description": "Identifier. The resource name of the ReasoningEngine.",
+                      "description": "Identifier. The resource name of the ReasoningEngine. Format: `projects/{project}/locations/{location}/reasoningEngines/{reasoning_engine}`",
                       "location": "path",
                       "pattern": "^projects/[^/]+/locations/[^/]+/reasoningEngines/[^/]+$",
                       "required": true,
@@ -19841,7 +19841,7 @@
       }
     }
   },
-  "revision": "20250501",
+  "revision": "20250502",
   "rootUrl": "https://aiplatform.googleapis.com/",
   "schemas": {
     "CloudAiLargeModelsVisionGenerateVideoResponse": {
@@ -21580,6 +21580,10 @@
           "description": "Optional. Immutable. The user-generated meaningful display name of the cached content.",
           "type": "string"
         },
+        "encryptionSpec": {
+          "$ref": "GoogleCloudAiplatformV1EncryptionSpec",
+          "description": "Input only. Immutable. Customer-managed encryption key spec for a `CachedContent`. If set, this `CachedContent` and all its sub-resources will be secured by this key."
+        },
         "expireTime": {
           "description": "Timestamp of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input.",
           "format": "google-datetime",
@@ -23913,6 +23917,10 @@
       "description": "Points to a DeployedModel.",
       "id": "GoogleCloudAiplatformV1DeployedModelRef",
       "properties": {
+        "checkpointId": {
+          "description": "Immutable. The ID of the Checkpoint deployed in the DeployedModel.",
+          "type": "string"
+        },
         "deployedModelId": {
           "description": "Immutable. An ID of a DeployedModel in the above Endpoint.",
           "type": "string"
@@ -27998,6 +28006,10 @@
       "description": "Config for thinking features.",
       "id": "GoogleCloudAiplatformV1GenerationConfigThinkingConfig",
       "properties": {
+        "includeThoughts": {
+          "description": "Optional. Indicates whether to include thoughts in the response. If true, thoughts are returned only when available.",
+          "type": "boolean"
+        },
         "thinkingBudget": {
           "description": "Optional. Indicates the thinking budget in tokens. This is only applied when enable_thinking is true.",
           "format": "int32",
@@ -30301,6 +30313,7 @@
             "NVIDIA_H100_80GB",
             "NVIDIA_H100_MEGA_80GB",
             "NVIDIA_H200_141GB",
+            "NVIDIA_B200",
             "TPU_V2",
             "TPU_V3",
             "TPU_V4_POD",
@@ -30322,6 +30335,7 @@
             false,
             false,
             false,
+            false,
             false
           ],
           "enumDescriptions": [
@@ -30337,6 +30351,7 @@
             "Nvidia H100 80Gb GPU.",
             "Nvidia H100 Mega 80Gb GPU.",
             "Nvidia H200 141Gb GPU.",
+            "Nvidia B200 GPU.",
             "TPU v2.",
             "TPU v3.",
             "TPU v4.",
@@ -36103,6 +36118,10 @@
         "layoutParser": {
           "$ref": "GoogleCloudAiplatformV1RagFileParsingConfigLayoutParser",
           "description": "The Layout Parser to use for RagFiles."
+        },
+        "llmParser": {
+          "$ref": "GoogleCloudAiplatformV1RagFileParsingConfigLlmParser",
+          "description": "The LLM Parser to use for RagFiles."
         }
       },
       "type": "object"
@@ -36123,6 +36142,26 @@
       },
       "type": "object"
     },
+    "GoogleCloudAiplatformV1RagFileParsingConfigLlmParser": {
+      "description": "Specifies the advanced parsing for RagFiles.",
+      "id": "GoogleCloudAiplatformV1RagFileParsingConfigLlmParser",
+      "properties": {
+        "customParsingPrompt": {
+          "description": "The prompt to use for parsing. If not specified, a default prompt will be used.",
+          "type": "string"
+        },
+        "maxParsingRequestsPerMin": {
+          "description": "The maximum number of requests the job is allowed to make to the LLM model per minute. Consult https://cloud.google.com/vertex-ai/generative-ai/docs/quotas and your document size to set an appropriate value here. If unspecified, a default value of 5000 QPM would be used.",
+          "format": "int32",
+          "type": "integer"
+        },
+        "modelName": {
+          "description": "The name of a LLM model used for parsing. Format: * `projects/{project_id}/locations/{location}/publishers/{publisher}/models/{model}`",
+          "type": "string"
+        }
+      },
+      "type": "object"
+    },
     "GoogleCloudAiplatformV1RagFileTransformationConfig": {
       "description": "Specifies the transformation config for RagFiles.",
       "id": "GoogleCloudAiplatformV1RagFileTransformationConfig",
@@ -36592,7 +36631,7 @@
           "type": "string"
         },
         "name": {
-          "description": "Identifier. The resource name of the ReasoningEngine.",
+          "description": "Identifier. The resource name of the ReasoningEngine. Format: `projects/{project}/locations/{location}/reasoningEngines/{reasoning_engine}`",
           "type": "string"
         },
         "spec": {
@@ -45968,6 +46007,15 @@
         "engine": {
           "description": "Optional. Fully-qualified Vertex AI Search engine resource ID. Format: `projects/{project}/locations/{location}/collections/{collection}/engines/{engine}`",
           "type": "string"
+        },
+        "filter": {
+          "description": "Optional. Filter strings to be passed to the search API.",
+          "type": "string"
+        },
+        "maxResults": {
+          "description": "Optional. Number of search results to return per query. The default value is 10. The maximumm allowed value is 10.",
+          "format": "int32",
+          "type": "integer"
         }
       },
       "type": "object"