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feat(all): auto-regenerate discovery clients (#3376)
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208 files changed

+25616
-8854
lines changed

admin/directory/v1/admin-api.json

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}
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}
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},
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"revision": "20251021",
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"revision": "20251107",
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"rootUrl": "https://admin.googleapis.com/",
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"schemas": {
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"Alias": {
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"type": "array"
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},
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"bluetoothAdapterInfo": {
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"description": "Output only. Information about bluetooth adapters of the device.",
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"description": "Output only. Information about Bluetooth adapters of the device.",
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"items": {
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"$ref": "BluetoothAdapterInfo"
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},

admin/directory/v1/admin-gen.go

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admin/reports/v1/admin-api.json

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"oauth2": {
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"scopes": {
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"https://www.googleapis.com/auth/admin.reports.audit.readonly": {
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"description": "View audit reports for your G Suite domain"
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"description": "View audit reports for your Google Workspace domain"
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},
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"https://www.googleapis.com/auth/admin.reports.usage.readonly": {
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"description": "View usage reports for your G Suite domain"
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"description": "View usage reports for your Google Workspace domain"
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}
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}
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}
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}
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}
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},
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"revision": "20250818",
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"revision": "20251107",
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"rootUrl": "https://admin.googleapis.com/",
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"schemas": {
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"Activities": {

admin/reports/v1/admin-gen.go

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aiplatform/v1/aiplatform-api.json

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}
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}
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},
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"google": {
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"resources": {
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"science": {
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"methods": {
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"inference": {
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"description": "Forwards arbitrary HTTP requests for both streaming and non-streaming cases. To use this method, invoke_route_prefix must be set to allow the paths that will be specified in the request.",
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"flatPath": "v1/projects/{projectsId}/locations/{locationsId}/endpoints/google/science/inference",
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"httpMethod": "POST",
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"id": "aiplatform.projects.locations.endpoints.google.science.inference",
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"parameterOrder": [
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"endpoint"
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],
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"parameters": {
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"deployedModelId": {
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"description": "ID of the DeployedModel that serves the invoke request.",
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"location": "query",
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"type": "string"
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},
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"endpoint": {
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"description": "Required. The name of the Endpoint requested to serve the prediction. Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`",
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"location": "path",
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"pattern": "^projects/[^/]+/locations/[^/]+/endpoints/google$",
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"required": true,
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"type": "string"
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}
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},
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"path": "v1/{+endpoint}/science/inference",
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"request": {
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"$ref": "GoogleApiHttpBody"
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},
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"response": {
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"$ref": "GoogleApiHttpBody"
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},
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"scopes": [
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"https://www.googleapis.com/auth/cloud-platform",
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"https://www.googleapis.com/auth/cloud-platform.read-only"
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]
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}
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}
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}
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}
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},
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"invoke": {
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"methods": {
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"invoke": {
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}
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}
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},
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"revision": "20251101",
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"revision": "20251114",
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"rootUrl": "https://aiplatform.googleapis.com/",
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"schemas": {
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"CloudAiLargeModelsVisionGenerateVideoResponse": {
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"id": "GoogleCloudAiplatformV1AutoscalingMetricSpec",
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"properties": {
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"metricName": {
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"description": "Required. The resource metric name. Supported metrics: * For Online Prediction: * `aiplatform.googleapis.com/prediction/online/accelerator/duty_cycle` * `aiplatform.googleapis.com/prediction/online/cpu/utilization` * `aiplatform.googleapis.com/prediction/online/request_count`",
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"description": "Required. The resource metric name. Supported metrics: * For Online Prediction: * `aiplatform.googleapis.com/prediction/online/accelerator/duty_cycle` * `aiplatform.googleapis.com/prediction/online/cpu/utilization` * `aiplatform.googleapis.com/prediction/online/request_count` * `pubsub.googleapis.com/subscription/num_undelivered_messages`",
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"type": "string"
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},
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"target": {
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},
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"response": {
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"$ref": "GoogleCloudAiplatformV1EvaluationInstanceInstanceData",
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"description": "Required. Data used to populate placeholder `response` in a metric prompt template."
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"description": "Optional. Data used to populate placeholder `response` in a metric prompt template."
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},
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"rubricGroups": {
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"additionalProperties": {
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},
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"type": "object"
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},
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"GoogleCloudAiplatformV1SchemaPromptSpecAppBuilderData": {
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"description": "Defines data for an application builder.",
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"id": "GoogleCloudAiplatformV1SchemaPromptSpecAppBuilderData",
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"properties": {
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"codeRepositoryState": {
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"description": "Serialized state of the code repository. This string will typically contain a JSON representation of the UI's CodeRepositoryService state (files, folders, content, and any metadata). The UI is responsible for serialization and deserialization.",
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"type": "string"
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},
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"linkedResources": {
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"description": "Linked resources attached to the application by the user.",
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"items": {
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"$ref": "GoogleCloudAiplatformV1SchemaPromptSpecAppBuilderDataLinkedResource"
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},
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"type": "array"
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}
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},
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"type": "object"
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},
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"GoogleCloudAiplatformV1SchemaPromptSpecAppBuilderDataLinkedResource": {
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"description": "A linked resource attached to the application by the user.",
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"id": "GoogleCloudAiplatformV1SchemaPromptSpecAppBuilderDataLinkedResource",
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"properties": {
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"displayName": {
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"description": "A user-friendly name for the data source shown in the UI.",
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"type": "string"
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},
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"name": {
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"description": "The unique resource name of the data source. The format is determined by the 'type' field. For type \"SAVED_PROMPT\": projects/{project}/locations/{location}/datasets/{dataset} For type \"AI_AGENT\": projects/{project}/locations/{location}/agents/{agent}",
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"type": "string"
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},
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"type": {
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"description": "The type of the linked resource. e.g., \"SAVED_PROMPT\", \"AI_AGENT\" This string corresponds to the name of the LinkedResourceType enum member. See: google3/cloud/console/web/ai/platform/llm/prompts/build/services/specs_repository_service/linked_resources/linked_resource.ts",
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"type": "string"
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}
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},
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"type": "object"
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},
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"GoogleCloudAiplatformV1SchemaPromptSpecMultimodalPrompt": {
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"description": "Prompt variation that embeds preambles to prompt string.",
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"id": "GoogleCloudAiplatformV1SchemaPromptSpecMultimodalPrompt",
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"description": "Prompt variation that stores preambles in separate fields.",
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"id": "GoogleCloudAiplatformV1SchemaPromptSpecStructuredPrompt",
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"properties": {
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"appBuilderData": {
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"$ref": "GoogleCloudAiplatformV1SchemaPromptSpecAppBuilderData",
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"description": "Data for app builder use case."
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},
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"context": {
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"$ref": "GoogleCloudAiplatformV1Content",
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"description": "Preamble: The context of the prompt."

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