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A interface de programação de aplicativos (API) do Vertex AI Workbench é uma
interface programática para o serviço Vertex AI Workbench.
O Google cria as APIs do plano de controle com base no Kubernetes, usando o modelo de recursos do Kubernetes (KRM). O plano de controle realiza o gerenciamento de recursos
para serviços como criação e exclusão de notebooks.
Sobre a API Vertex AI Workbench
No momento, o serviço Vertex AI Workbench é compatível apenas com a API baseada em Kubernetes (KRM). Consulte a página do KRM na seção do Vertex AI Workbench para ver a funcionalidade equivalente da interface do usuário (UI).
Endpoint de serviço
O URL a seguir é o endpoint de API para a API KRM do serviço
Vertex AI Workbench:
Substitua ORG_ADMIN_CLUSTER_KUBERNETES_API_ENDPOINT pelo endpoint da API do cluster do Kubernetes do administrador da organização.
Documento de descoberta
Use o comando kubectl proxy --port=8001 para abrir um proxy para o servidor de API na sua máquina local. Lá, você pode acessar o documento de descoberta no seguinte URL:
[[["Fácil de entender","easyToUnderstand","thumb-up"],["Meu problema foi resolvido","solvedMyProblem","thumb-up"],["Outro","otherUp","thumb-up"]],[["Difícil de entender","hardToUnderstand","thumb-down"],["Informações incorretas ou exemplo de código","incorrectInformationOrSampleCode","thumb-down"],["Não contém as informações/amostras de que eu preciso","missingTheInformationSamplesINeed","thumb-down"],["Problema na tradução","translationIssue","thumb-down"],["Outro","otherDown","thumb-down"]],["Última atualização 2025-09-04 UTC."],[[["\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"]]