feat(all): auto-regenerate discovery clients (#2936)

aiplatform/v1/aiplatform-api.json

@@ -19327,7 +19327,7 @@
       }
     }
   },
-  "revision": "20241210",
+  "revision": "20241214",
   "rootUrl": "https://aiplatform.googleapis.com/",
   "schemas": {
     "CloudAiLargeModelsVisionGenerateVideoResponse": {
@@ -20936,7 +20936,7 @@
       "type": "object"
     },
     "GoogleCloudAiplatformV1Blob": {
-      "description": "Content blob. It's preferred to send as text directly rather than raw bytes.",
+      "description": "Content blob.",
       "id": "GoogleCloudAiplatformV1Blob",
       "properties": {
         "data": {

aiplatform/v1beta1/aiplatform-api.json

@@ -21964,7 +21964,7 @@
       }
     }
   },
-  "revision": "20241210",
+  "revision": "20241214",
   "rootUrl": "https://aiplatform.googleapis.com/",
   "schemas": {
     "CloudAiLargeModelsVisionGenerateVideoResponse": {
@@ -23781,7 +23781,7 @@
       "type": "object"
     },
     "GoogleCloudAiplatformV1beta1Blob": {
-      "description": "Content blob. It's preferred to send as text directly rather than raw bytes.",
+      "description": "Content blob.",
       "id": "GoogleCloudAiplatformV1beta1Blob",
       "properties": {
         "data": {
@@ -26578,7 +26578,7 @@
         },
         "pipelineRootDirectory": {
           "deprecated": true,
-          "description": "Required. Deprecated. A path in a Cloud Storage bucket, which will be treated as the root output directory of the distillation pipeline. It is used by the system to generate the paths of output artifacts.",
+          "description": "Deprecated. A path in a Cloud Storage bucket, which will be treated as the root output directory of the distillation pipeline. It is used by the system to generate the paths of output artifacts.",
           "type": "string"
         },
         "studentModel": {
@@ -26588,7 +26588,7 @@
         },
         "trainingDatasetUri": {
           "deprecated": true,
-          "description": "Required. Cloud Storage path to file containing training dataset for tuning. The dataset must be formatted as a JSONL file.",
+          "description": "Deprecated. Cloud Storage path to file containing training dataset for tuning. The dataset must be formatted as a JSONL file.",
           "type": "string"
         },
         "tunedTeacherModelSource": {
@@ -37346,6 +37346,10 @@
           "description": "Optional. Text part (can be code).",
           "type": "string"
         },
+        "thought": {
+          "description": "Optional. Indicates if the part is thought from the model.",
+          "type": "boolean"
+        },
         "videoMetadata": {
           "$ref": "GoogleCloudAiplatformV1beta1VideoMetadata",
           "description": "Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data."
@@ -39872,6 +39876,10 @@
           "$ref": "GoogleCloudAiplatformV1beta1RagFileParsingConfigLayoutParser",
           "description": "The Layout Parser to use for RagFiles."
         },
+        "llmParser": {
+          "$ref": "GoogleCloudAiplatformV1beta1RagFileParsingConfigLlmParser",
+          "description": "The LLM Parser to use for RagFiles."
+        },
         "useAdvancedPdfParsing": {
           "deprecated": true,
           "description": "Whether to use advanced PDF parsing.",
@@ -39907,6 +39915,26 @@
       },
       "type": "object"
     },
+    "GoogleCloudAiplatformV1beta1RagFileParsingConfigLlmParser": {
+      "description": "Specifies the advanced parsing for RagFiles.",
+      "id": "GoogleCloudAiplatformV1beta1RagFileParsingConfigLlmParser",
+      "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: `gemini-1.5-pro-002`",
+          "type": "string"
+        }
+      },
+      "type": "object"
+    },
     "GoogleCloudAiplatformV1beta1RagFileTransformationConfig": {
       "description": "Specifies the transformation config for RagFiles.",
       "id": "GoogleCloudAiplatformV1beta1RagFileTransformationConfig",
@@ -49556,6 +49584,7 @@
           "description": "Tuning Spec for open sourced and third party Partner models."
         },
         "pipelineJob": {
+          "deprecated": true,
           "description": "Output only. The resource name of the PipelineJob associated with the TuningJob. Format: `projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}`.",
           "readOnly": true,
           "type": "string"

aiplatform/v1beta1/aiplatform-gen.go

@@ -4429,8 +4429,7 @@ func (s GoogleCloudAiplatformV1beta1BleuSpec) MarshalJSON() ([]byte, error) {
 	return gensupport.MarshalJSON(NoMethod(s), s.ForceSendFields, s.NullFields)
 }
 
-// GoogleCloudAiplatformV1beta1Blob: Content blob. It's preferred to send as
-// text directly rather than raw bytes.
+// GoogleCloudAiplatformV1beta1Blob: Content blob.
 type GoogleCloudAiplatformV1beta1Blob struct {
 	// Data: Required. Raw bytes.
 	Data string `json:"data,omitempty"`
@@ -8411,16 +8410,15 @@ type GoogleCloudAiplatformV1beta1DistillationSpec struct {
 	BaseTeacherModel string `json:"baseTeacherModel,omitempty"`
 	// HyperParameters: Optional. Hyperparameters for Distillation.
 	HyperParameters *GoogleCloudAiplatformV1beta1DistillationHyperParameters `json:"hyperParameters,omitempty"`
-	// PipelineRootDirectory: Required. Deprecated. A path in a Cloud Storage
-	// bucket, which will be treated as the root output directory of the
-	// distillation pipeline. It is used by the system to generate the paths of
-	// output artifacts.
+	// PipelineRootDirectory: Deprecated. A path in a Cloud Storage bucket, which
+	// will be treated as the root output directory of the distillation pipeline.
+	// It is used by the system to generate the paths of output artifacts.
 	PipelineRootDirectory string `json:"pipelineRootDirectory,omitempty"`
 	// StudentModel: The student model that is being tuned, e.g.,
 	// "google/gemma-2b-1.1-it". Deprecated. Use base_model instead.
 	StudentModel string `json:"studentModel,omitempty"`
-	// TrainingDatasetUri: Required. Cloud Storage path to file containing training
-	// dataset for tuning. The dataset must be formatted as a JSONL file.
+	// TrainingDatasetUri: Deprecated. Cloud Storage path to file containing
+	// training dataset for tuning. The dataset must be formatted as a JSONL file.
 	TrainingDatasetUri string `json:"trainingDatasetUri,omitempty"`
 	// TunedTeacherModelSource: The resource name of the Tuned teacher model.
 	// Format: `projects/{project}/locations/{location}/models/{model}`.
@@ -23360,6 +23358,8 @@ type GoogleCloudAiplatformV1beta1Part struct {
 	InlineData *GoogleCloudAiplatformV1beta1Blob `json:"inlineData,omitempty"`
 	// Text: Optional. Text part (can be code).
 	Text string `json:"text,omitempty"`
+	// Thought: Optional. Indicates if the part is thought from the model.
+	Thought bool `json:"thought,omitempty"`
 	// VideoMetadata: Optional. Video metadata. The metadata should only be
 	// specified while the video data is presented in inline_data or file_data.
 	VideoMetadata *GoogleCloudAiplatformV1beta1VideoMetadata `json:"videoMetadata,omitempty"`
@@ -26767,6 +26767,8 @@ type GoogleCloudAiplatformV1beta1RagFileParsingConfig struct {
 	AdvancedParser *GoogleCloudAiplatformV1beta1RagFileParsingConfigAdvancedParser `json:"advancedParser,omitempty"`
 	// LayoutParser: The Layout Parser to use for RagFiles.
 	LayoutParser *GoogleCloudAiplatformV1beta1RagFileParsingConfigLayoutParser `json:"layoutParser,omitempty"`
+	// LlmParser: The LLM Parser to use for RagFiles.
+	LlmParser *GoogleCloudAiplatformV1beta1RagFileParsingConfigLlmParser `json:"llmParser,omitempty"`
 	// UseAdvancedPdfParsing: Whether to use advanced PDF parsing.
 	UseAdvancedPdfParsing bool `json:"useAdvancedPdfParsing,omitempty"`
 	// ForceSendFields is a list of field names (e.g. "AdvancedParser") to
@@ -26845,6 +26847,39 @@ func (s GoogleCloudAiplatformV1beta1RagFileParsingConfigLayoutParser) MarshalJSO
 	return gensupport.MarshalJSON(NoMethod(s), s.ForceSendFields, s.NullFields)
 }
 
+// GoogleCloudAiplatformV1beta1RagFileParsingConfigLlmParser: Specifies the
+// advanced parsing for RagFiles.
+type GoogleCloudAiplatformV1beta1RagFileParsingConfigLlmParser struct {
+	// CustomParsingPrompt: The prompt to use for parsing. If not specified, a
+	// default prompt will be used.
+	CustomParsingPrompt string `json:"customParsingPrompt,omitempty"`
+	// MaxParsingRequestsPerMin: 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.
+	MaxParsingRequestsPerMin int64 `json:"maxParsingRequestsPerMin,omitempty"`
+	// ModelName: The name of a LLM model used for parsing. Format:
+	// `gemini-1.5-pro-002`
+	ModelName string `json:"modelName,omitempty"`
+	// ForceSendFields is a list of field names (e.g. "CustomParsingPrompt") to
+	// unconditionally include in API requests. By default, fields with empty or
+	// default values are omitted from API requests. See
+	// https://pkg.go.dev/google.golang.org/api#hdr-ForceSendFields for more
+	// details.
+	ForceSendFields []string `json:"-"`
+	// NullFields is a list of field names (e.g. "CustomParsingPrompt") to include
+	// in API requests with the JSON null value. By default, fields with empty
+	// values are omitted from API requests. See
+	// https://pkg.go.dev/google.golang.org/api#hdr-NullFields for more details.
+	NullFields []string `json:"-"`
+}
+
+func (s GoogleCloudAiplatformV1beta1RagFileParsingConfigLlmParser) MarshalJSON() ([]byte, error) {
+	type NoMethod GoogleCloudAiplatformV1beta1RagFileParsingConfigLlmParser
+	return gensupport.MarshalJSON(NoMethod(s), s.ForceSendFields, s.NullFields)
+}
+
 // GoogleCloudAiplatformV1beta1RagFileTransformationConfig: Specifies the
 // transformation config for RagFiles.
 type GoogleCloudAiplatformV1beta1RagFileTransformationConfig struct {