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feat(all): auto-regenerate discovery clients (#3515)
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‎admob/v1beta/admob-api.json‎

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@@ -758,7 +758,7 @@
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}
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}
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},
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"revision": "20250811",
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"revision": "20260223",
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"rootUrl": "https://admob.googleapis.com/",
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"schemas": {
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"AdSource": {
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"type": "array"
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},
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"format": {
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"description": "Ad format targeted by this mediation group. Examples: \"banner\", \"native\".",
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"description": "Ad format targeted by this mediation group. Examples: \"BANNER\", \"NATIVE\".",
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"type": "string"
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},
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"idfaTargeting": {

‎admob/v1beta/admob-gen.go‎

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‎aiplatform/v1/aiplatform-api.json‎

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@@ -21298,6 +21298,47 @@
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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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"resources": {
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"invoke": {
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"methods": {
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"invoke": {
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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}/publishers/{publishersId}/models/{modelsId}/invoke/{invokeId}",
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"httpMethod": "POST",
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"id": "aiplatform.projects.locations.publishers.models.invoke.invoke",
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"parameterOrder": [
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"endpoint",
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"invokeId"
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],
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"parameters": {
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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/[^/]+/publishers/[^/]+/models/[^/]+$",
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"required": true,
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"type": "string"
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},
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"invokeId": {
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"location": "path",
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"required": true,
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"type": "string"
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}
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},
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"path": "v1/{+endpoint}/invoke/{+invokeId}",
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"request": {
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"$ref": "GoogleCloudAiplatformV1InvokeRequest"
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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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}
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],
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"parameters": {
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"pageSize": {
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"description": "Optional. The standard list page size.",
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"description": "Optional. The standard list page size. The maximum value is 100. If not specified, a default value of 100 will be used.",
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"format": "int32",
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"location": "query",
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"type": "integer"
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],
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"parameters": {
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"pageSize": {
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"description": "Optional. The standard list page size.",
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"description": "Optional. The standard list page size. The maximum value is 100. If not specified, a default value of 100 will be used.",
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"format": "int32",
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"location": "query",
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"type": "integer"
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}
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}
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},
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"revision": "20260208",
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"revision": "20260217",
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"rootUrl": "https://aiplatform.googleapis.com/",
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"schemas": {
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"CloudAiLargeModelsVisionGenerateVideoResponse": {
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},
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"description": "Required. The function response in JSON object format. Use \"output\" key to specify function output and \"error\" key to specify error details (if any). If \"output\" and \"error\" keys are not specified, then whole \"response\" is treated as function output.",
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"type": "object"
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},
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"scheduling": {
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"description": "Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE.",
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"enum": [
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"SCHEDULING_UNSPECIFIED",
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"SILENT",
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"WHEN_IDLE",
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"INTERRUPT"
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],
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"enumDescriptions": [
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"This value is unused.",
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"Only add the result to the conversation context, do not interrupt or trigger generation.",
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"Add the result to the conversation context, and prompt to generate output without interrupting ongoing generation.",
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"Add the result to the conversation context, interrupt ongoing generation and prompt to generate output."
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],
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"type": "string"
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}
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},
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"type": "object"
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"type": "object"
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},
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"GoogleCloudAiplatformV1GroundingChunkMaps": {
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"description": "A `Maps` chunk is a piece of evidence that comes from Google Maps. It contains information about a place, such as its name, address, and reviews. This is used to provide the user with rich, location-based information.",
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"description": "A `Maps` chunk is a piece of evidence that comes from Google Maps, containing information about places or routes. This is used to provide the user with rich, location-based information.",
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"id": "GoogleCloudAiplatformV1GroundingChunkMaps",
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"properties": {
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"placeAnswerSources": {
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},
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"migrateDataLabelingDatasetConfig": {
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"$ref": "GoogleCloudAiplatformV1MigrateResourceRequestMigrateDataLabelingDatasetConfig",
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"description": "Config for migrating Dataset in datalabeling.googleapis.com to Vertex AI's Dataset."
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"deprecated": true,
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"description": "Deprecated: Data labeling service is shut down. Config for migrating Dataset in datalabeling.googleapis.com to Vertex AI's Dataset."
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},
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"migrateMlEngineModelVersionConfig": {
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"$ref": "GoogleCloudAiplatformV1MigrateResourceRequestMigrateMlEngineModelVersionConfig",
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"$ref": "GoogleCloudAiplatformV1ReasoningEngineSpecSourceCodeSpecDeveloperConnectSource",
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"description": "Source code is in a Git repository managed by Developer Connect."
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},
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"imageSpec": {
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"$ref": "GoogleCloudAiplatformV1ReasoningEngineSpecSourceCodeSpecImageSpec",
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"description": "Optional. Configuration for building an image with custom config file."
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},
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"inlineSource": {
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"$ref": "GoogleCloudAiplatformV1ReasoningEngineSpecSourceCodeSpecInlineSource",
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"description": "Source code is provided directly in the request."
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},
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"type": "object"
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},
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"GoogleCloudAiplatformV1ReasoningEngineSpecSourceCodeSpecImageSpec": {
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"description": "The image spec for building an image (within a single build step), based on the config file (i.e. Dockerfile) in the source directory.",
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"id": "GoogleCloudAiplatformV1ReasoningEngineSpecSourceCodeSpecImageSpec",
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"properties": {
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"buildArgs": {
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"additionalProperties": {
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"type": "string"
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},
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"description": "Optional. Build arguments to be used. They will be passed through --build-arg flags.",
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"type": "object"
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}
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},
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"type": "object"
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},
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"GoogleCloudAiplatformV1ReasoningEngineSpecSourceCodeSpecInlineSource": {
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"description": "Specifies source code provided as a byte stream.",
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"id": "GoogleCloudAiplatformV1ReasoningEngineSpecSourceCodeSpecInlineSource",
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"description": "Output only. Response of the last scheduled run. This is the response for starting the scheduled requests and not the execution of the operations/jobs created by the requests (if applicable). Unset if no run has been scheduled yet.",
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"readOnly": true
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},
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"maxConcurrentActiveRunCount": {
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"description": "Optional. Specifies the maximum number of active runs that can be executed concurrently for this Schedule. This limits the number of runs that can be in a non-terminal state at the same time. Currently, this field is only supported for requests of type CreatePipelineJobRequest.",
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"format": "int64",
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"type": "string"
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},
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"maxConcurrentRunCount": {
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"description": "Required. Maximum number of runs that can be started concurrently for this Schedule. This is the limit for starting the scheduled requests and not the execution of the operations/jobs created by the requests (if applicable).",
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"format": "int64",

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