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feat(all): auto-regenerate discovery clients (#3444)
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8 files changed

+527
-376
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aiplatform/v1/aiplatform-api.json

Lines changed: 129 additions & 9 deletions
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@@ -10004,7 +10004,7 @@
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],
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"parameters": {
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"name": {
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"description": "Output only. The resource name of the Endpoint.",
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"description": "Identifier. The resource name of the Endpoint.",
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"location": "path",
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"pattern": "^projects/[^/]+/locations/[^/]+/endpoints/[^/]+$",
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"required": true,
@@ -10240,7 +10240,7 @@
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],
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"parameters": {
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"name": {
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"description": "Output only. The resource name of the Endpoint.",
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"description": "Identifier. The resource name of the Endpoint.",
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"location": "path",
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"pattern": "^projects/[^/]+/locations/[^/]+/endpoints/[^/]+$",
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"required": true,
@@ -30639,7 +30639,7 @@
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}
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}
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},
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"revision": "20260106",
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"revision": "20260110",
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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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"type": "object"
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},
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"GoogleCloudAiplatformV1AggregationOutput": {
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"description": "The aggregation result for the entire dataset and all metrics.",
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"id": "GoogleCloudAiplatformV1AggregationOutput",
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"properties": {
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"aggregationResults": {
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"description": "One AggregationResult per metric.",
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"items": {
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"$ref": "GoogleCloudAiplatformV1AggregationResult"
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},
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"type": "array"
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},
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"dataset": {
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"$ref": "GoogleCloudAiplatformV1EvaluationDataset",
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"description": "The dataset used for evaluation \u0026 aggregation."
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}
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},
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"type": "object"
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},
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"GoogleCloudAiplatformV1AggregationResult": {
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"description": "The aggregation result for a single metric.",
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"id": "GoogleCloudAiplatformV1AggregationResult",
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"properties": {
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"aggregationMetric": {
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"description": "Aggregation metric.",
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"enum": [
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"AGGREGATION_METRIC_UNSPECIFIED",
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"AVERAGE",
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"MODE",
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"STANDARD_DEVIATION",
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"VARIANCE",
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"MINIMUM",
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"MAXIMUM",
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"MEDIAN",
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"PERCENTILE_P90",
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"PERCENTILE_P95",
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"PERCENTILE_P99"
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],
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"enumDescriptions": [
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"Unspecified aggregation metric.",
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"Average aggregation metric. Not supported for Pairwise metric.",
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"Mode aggregation metric.",
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"Standard deviation aggregation metric. Not supported for pairwise metric.",
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"Variance aggregation metric. Not supported for pairwise metric.",
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"Minimum aggregation metric. Not supported for pairwise metric.",
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"Maximum aggregation metric. Not supported for pairwise metric.",
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"Median aggregation metric. Not supported for pairwise metric.",
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"90th percentile aggregation metric. Not supported for pairwise metric.",
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"95th percentile aggregation metric. Not supported for pairwise metric.",
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"99th percentile aggregation metric. Not supported for pairwise metric."
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],
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"type": "string"
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},
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"bleuMetricValue": {
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"$ref": "GoogleCloudAiplatformV1BleuMetricValue",
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"description": "Results for bleu metric."
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},
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"customCodeExecutionResult": {
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"$ref": "GoogleCloudAiplatformV1CustomCodeExecutionResult",
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"description": "Result for code execution metric."
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},
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"exactMatchMetricValue": {
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"$ref": "GoogleCloudAiplatformV1ExactMatchMetricValue",
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"description": "Results for exact match metric."
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},
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"pairwiseMetricResult": {
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"$ref": "GoogleCloudAiplatformV1PairwiseMetricResult",
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"description": "Result for pairwise metric."
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},
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"pointwiseMetricResult": {
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"$ref": "GoogleCloudAiplatformV1PointwiseMetricResult",
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"description": "Result for pointwise metric."
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},
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"rougeMetricValue": {
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"$ref": "GoogleCloudAiplatformV1RougeMetricValue",
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"description": "Results for rouge metric."
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}
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},
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"type": "object"
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},
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"GoogleCloudAiplatformV1Annotation": {
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"description": "Used to assign specific AnnotationSpec to a particular area of a DataItem or the whole part of the DataItem.",
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"id": "GoogleCloudAiplatformV1Annotation",
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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` * `pubsub.googleapis.com/subscription/num_undelivered_messages`",
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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` * `prometheus.googleapis.com/vertex_dcgm_fi_dev_gpu_util` * `prometheus.googleapis.com/vertex_vllm_gpu_cache_usage_perc` * `prometheus.googleapis.com/vertex_vllm_num_requests_waiting`",
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"type": "string"
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},
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"target": {
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},
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"type": "object"
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},
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"GoogleCloudAiplatformV1CustomCodeExecutionResult": {
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"description": "Result for custom code execution metric.",
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"id": "GoogleCloudAiplatformV1CustomCodeExecutionResult",
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"properties": {
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"score": {
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"description": "Output only. Custom code execution score.",
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"format": "float",
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"readOnly": true,
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"type": "number"
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}
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},
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"type": "object"
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},
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"GoogleCloudAiplatformV1CustomCodeExecutionSpec": {
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"description": "Specificies a metric that is populated by evaluating user-defined Python code.",
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"id": "GoogleCloudAiplatformV1CustomCodeExecutionSpec",
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"type": "string"
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},
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"name": {
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"description": "Output only. The resource name of the Endpoint.",
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"readOnly": true,
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"description": "Identifier. The resource name of the Endpoint.",
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"type": "string"
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},
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"network": {
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},
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"type": "object"
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},
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"GoogleCloudAiplatformV1EvaluateDatasetResponse": {
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"description": "The results from an evaluation run performed by the EvaluationService.",
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"id": "GoogleCloudAiplatformV1EvaluateDatasetResponse",
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"properties": {
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"aggregationOutput": {
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"$ref": "GoogleCloudAiplatformV1AggregationOutput",
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"description": "Output only. Aggregation statistics derived from results of EvaluationService.",
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"readOnly": true
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},
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"outputInfo": {
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"$ref": "GoogleCloudAiplatformV1OutputInfo",
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"description": "Output only. Output info for EvaluationService.",
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"readOnly": true
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}
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},
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"type": "object"
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},
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"GoogleCloudAiplatformV1EvaluateInstancesRequest": {
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"description": "Request message for EvaluationService.EvaluateInstances.",
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"id": "GoogleCloudAiplatformV1EvaluateInstancesRequest",
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},
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"type": "object"
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},
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"GoogleCloudAiplatformV1OutputInfo": {
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"description": "Describes the info for output of EvaluationService.",
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"id": "GoogleCloudAiplatformV1OutputInfo",
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"properties": {
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"gcsOutputDirectory": {
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"description": "Output only. The full path of the Cloud Storage directory created, into which the evaluation results and aggregation results are written.",
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"readOnly": true,
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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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"GoogleCloudAiplatformV1PSCAutomationConfig": {
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"description": "PSC config that is used to automatically create PSC endpoints in the user projects.",
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"id": "GoogleCloudAiplatformV1PSCAutomationConfig",
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"description": "per part media resolution. Media resolution for the input media."
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},
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"text": {
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"description": "Optional. The text content of the part.",
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"description": "Optional. The text content of the part. When sent from the VSCode Gemini Code Assist extension, references to @mentioned items will be converted to markdown boldface text. For example `@my-repo` will be converted to and sent as `**my-repo**` by the IDE agent.",
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"type": "string"
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},
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"thought": {
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"type": "string"
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},
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"pythonVersion": {
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"description": "Optional. The Python version. Supported values are 3.9, 3.10, 3.11, 3.12, 3.13. If not specified, the default value is 3.10.",
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"description": "Optional. The Python version. Supported values are 3.9, 3.10, 3.11, 3.12, 3.13, 3.14. If not specified, the default value is 3.10.",
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"type": "string"
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},
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"requirementsGcsUri": {
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"type": "string"
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},
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"version": {
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"description": "Optional. The version of Python to use. Support version includes 3.9, 3.10, 3.11, 3.12, 3.13. If not specified, default value is 3.10.",
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"description": "Optional. The version of Python to use. Support version includes 3.9, 3.10, 3.11, 3.12, 3.13, 3.14. If not specified, default value is 3.10.",
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"type": "string"
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}
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},

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