[[["容易理解","easyToUnderstand","thumb-up"],["確實解決了我的問題","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["難以理解","hardToUnderstand","thumb-down"],["資訊或程式碼範例有誤","incorrectInformationOrSampleCode","thumb-down"],["缺少我需要的資訊/範例","missingTheInformationSamplesINeed","thumb-down"],["翻譯問題","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["上次更新時間:2025-09-04 (世界標準時間)。"],[[["\u003cp\u003eThe Vertex AI Workbench API is a programmatic interface to the Vertex AI Workbench service, built on Kubernetes using the Kubernetes Resource Model (KRM) for resource management like Notebook creation and deletion.\u003c/p\u003e\n"],["\u003cp\u003eCurrently, the Vertex AI Workbench service only supports the Kubernetes-based (KRM) API, and its UI equivalent functionality can be found on the KRM page under the Vertex AI Workbench section.\u003c/p\u003e\n"],["\u003cp\u003eThe Vertex AI Workbench KRM API's functionality is currently limited to the features available in the UI, with no security guarantees or product support for actions beyond the UI capabilities.\u003c/p\u003e\n"],["\u003cp\u003eThe API endpoint for the Vertex AI Workbench service KRM API is https://\u003cvar translate=no\u003eORG_ADMIN_CLUSTER_KUBERNETES_API_ENDPOINT\u003c/var\u003e/apis/aiplatform.gdc.goog/v1, where \u003cvar translate=no\u003eORG_ADMIN_CLUSTER_KUBERNETES_API_ENDPOINT\u003c/var\u003e should be replaced with the admin cluster's API endpoint.\u003c/p\u003e\n"],["\u003cp\u003eThe discovery document for the API can be accessed via a local proxy by using \u003ccode\u003ekubectl proxy --port=8001\u003c/code\u003e and then navigating to http://127.0.0.1:8001/apis/aiplatform.gdc.goog/v1.\u003c/p\u003e\n"]]],[],null,["# Vertex AI Workbench API overview\n\nThe Vertex AI Workbench application programming interface (API) is a\nprogrammatic interface to the Vertex AI Workbench service.\nGoogle builds the control-plane APIs on top of Kubernetes, using the\nKubernetes Resource Model (KRM). The control plane performs resource management\nfor services such as Notebook creation and deletion.\n\nAbout Vertex AI Workbench API\n-----------------------------\n\nVertex AI Workbench service currently supports only the\nKubernetes-based (KRM) API. Refer to the KRM page under\nVertex AI Workbench section for the User Interface (UI) equivalent\nfunctionality.\n| **Note:** Currently, the Vertex AI Workbench KRM API doesn't support any functionality beyond the Vertex AI Workbench service provided in the UI. Therefore, if you choose to perform a KRM API action beyond the UI capability, there is no security guarantee or product support provided. If there is a need for supporting certain functionality on the UI, file a feature request to the Google Distributed Cloud (GDC) air-gapped product team.\n\nService endpoint\n----------------\n\nThe following URL is the API endpoint for the Vertex AI Workbench\nservice KRM API:\n\n- https://\u003cvar translate=\"no\"\u003eORG_ADMIN_CLUSTER_KUBERNETES_API_ENDPOINT\u003c/var\u003e/apis/aiplatform.gdc.goog/v1\n\nReplace \u003cvar translate=\"no\"\u003eORG_ADMIN_CLUSTER_KUBERNETES_API_ENDPOINT\u003c/var\u003e with the API\nendpoint of your organization admin Kubernetes cluster.\n\nDiscovery document\n------------------\n\nUse the `kubectl proxy --port=8001` command to open a proxy to the API server on\nyour local machine. From there, you can access the discovery document at the\nfollowing URL:\n\n- http://127.0.0.1:8001/apis/aiplatform.gdc.goog/v1"]]