Microsoft Azure DatabricksClient
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For Agents
Provision and manage Azure Databricks workspaces through 7 ARM operations on the Microsoft.Databricks resource provider, covering create, list, update, and delete with SKU and managed resource group configuration.
Use for: I need to provision a premium Databricks workspace in West Europe, List all Databricks workspaces in a subscription, I want to delete a Databricks workspace that is no longer used, Get the managed resource group ID of a specific Databricks workspace
Not supported: Does not run notebooks, manage clusters, jobs, or secrets inside the workspace, or query data — use for Azure Resource Manager workspace lifecycle management only.
Jentic publishes the only available OpenAPI specification for DatabricksClient, keeping it validated and agent-ready. The Azure Resource Manager API for Databricks exposes 7 operations across 4 paths to provision, list, update, and delete Azure Databricks workspaces. A workspace is the top-level Databricks tenant on Azure that holds clusters, notebooks, jobs, and data; this management API handles its lifecycle including SKU and managed resource group configuration. Use it to stand up new Databricks environments for analytics teams, list existing workspaces by subscription or resource group, and decommission them when projects end.
Install Jentic One Beta
Connect the DatabricksClient to your agent
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the DatabricksClient, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.
Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.
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Step 1: Jentic One Host machine
# On the machine that will host your Jentic One instance:
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh2
Step 2: Agent machine
# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh
jentic register # connects your agent to your Jentic One instanceJentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.
Capabilities
What an agent can do with DatabricksClient API.
Create new Databricks workspaces with a chosen SKU (standard, premium, trial) in any supported region
List Databricks workspaces in a subscription or scoped to a resource group
Retrieve a workspace's full configuration including managed resource group ID and provisioning state
Update tags and SKU on an existing Databricks workspace
Delete a Databricks workspace and trigger cleanup of its managed resource group
Enumerate Microsoft.Databricks operations available to the caller for permission checks
Use Cases
Patterns agents use DatabricksClient API for, with concrete tasks.
★ Provision Analytics Workspaces on Demand
Create Databricks workspaces from CI or platform automation to give new data teams an isolated analytics environment. The Workspaces_CreateOrUpdate endpoint accepts the SKU, location, and managed resource group name; Azure provisions a managed resource group containing the underlying VM scale set, network, and storage. Provisioning typically completes in 10-15 minutes and the workspace URL is returned in the response.
Create a Databricks workspace named 'analytics-prod' in resource group 'rg-analytics' with premium SKU in westeurope and tag costCenter=data-platform
Workspace Inventory and Cost Reporting
List every Databricks workspace in a subscription to feed a cost dashboard. The Workspaces_ListBySubscription and Workspaces_ListByResourceGroup endpoints return SKU, location, tags, and managed resource group, which combine with the Cost Management API for spend per workspace. This is the standard pattern for a centralised data platform team running dozens of workspaces.
List all Databricks workspaces in subscription /subscriptions/{id}, sort by SKU, and report each workspace's location and tags
Workspace Decommissioning
Delete Databricks workspaces when projects close or teams disband. Workspaces_Delete removes the workspace and triggers cleanup of its managed resource group, releasing all underlying compute and storage. The operation is asynchronous; poll the returned status URL for completion. Pair with Cost Management to confirm spend stops shortly after.
Delete the Databricks workspace 'analytics-old' in resource group 'rg-analytics' and poll until the operation completes
AI Agent Data Platform Operations
An AI agent supporting a data platform team can manage Databricks workspaces through Jentic. The agent searches by intent ('create azure databricks workspace'), Jentic returns the Workspaces_CreateOrUpdate operation with its schema, and the agent executes the call with managed Azure credentials. The same flow handles updates, listing, and deletion across the platform's full footprint of workspaces.
Search Jentic for 'create an Azure Databricks workspace', load the Workspaces_CreateOrUpdate schema, and execute it with the user-supplied workspace name, SKU, and location
Key Endpoints
7 endpoints — jentic publishes the only available openapi specification for databricksclient, keeping it validated and agent-ready.
METHOD
PATH
DESCRIPTION
GET
/subscriptions/{subscriptionId}/providers/Microsoft.Databricks/workspaces
List Databricks workspaces in a subscription
GET
/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Databricks/workspaces
List Databricks workspaces in a resource group
DELETE
/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Databricks/workspaces/{workspaceName}
Delete a Databricks workspace
GET
/providers/Microsoft.Databricks/operations
List Microsoft.Databricks operations
GET
/subscriptions/{subscriptionId}/providers/Microsoft.Databricks/workspaces
List Databricks workspaces in a subscription
GET
/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Databricks/workspaces
List Databricks workspaces in a resource group
DELETE
/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Databricks/workspaces/{workspaceName}
Delete a Databricks workspace
GET
/providers/Microsoft.Databricks/operations
List Microsoft.Databricks operations
Why Jentic?
Three things that make agents converge on Jentic-routed access.
Credential isolation
Azure service principal credentials are encrypted in the Jentic vault. Agents receive scoped ARM bearer tokens at execution time; the underlying client secret never enters the agent context.
Intent-based discovery
Agents search by intent ('create an Azure Databricks workspace' or 'list databricks workspaces') and Jentic returns the matching ARM operation directly from the 7 available.
Time to first call
Direct ARM integration: half a day for AAD app registration, MSAL token handling, and async polling. Through Jentic: under 15 minutes — search, load schema, execute.
Related APIs
Alternatives and complements available in the Jentic catalogue.
FAQs
Specific to using DatabricksClient API through Jentic.
Why is there no official OpenAPI spec for DatabricksClient?
Microsoft Azure does not publish an OpenAPI specification. Jentic generates and maintains this spec so that AI agents and developers can call DatabricksClient via structured tooling. It is validated against the live API and kept up to date. Get started at https://app.jentic.com/sign-up.
What authentication does the Azure Databricks management API use?
It uses Azure Active Directory OAuth 2.0 against https://management.azure.com/ with the user_impersonation scope. The caller needs Contributor or a custom role with Microsoft.Databricks/workspaces/* permissions on the resource group. Jentic stores service principal credentials encrypted and issues short-lived bearer tokens at execution time.
Can I create premium-SKU workspaces with this API?
Yes. The Workspaces_CreateOrUpdate body accepts a sku.name field with values 'standard', 'premium', or 'trial'. Premium enables features like role-based access control, secret management, and JDBC/ODBC endpoint access controls.
What are the rate limits for the Databricks management API?
Azure Resource Manager applies subscription-level read and write throttling (around 1,200 requests per hour). Long-running operations such as workspace creation and deletion return 202 Accepted with an Azure-AsyncOperation header you poll for completion.
How do I create a workspace through Jentic?
Run pip install jentic and search for 'create azure databricks workspace'. Jentic returns the Workspaces_CreateOrUpdate operation; load its schema and execute it with the subscriptionId, resourceGroupName, workspaceName, and a body specifying location, sku, and managedResourceGroupId.
Does this API run notebooks or manage clusters inside the workspace?
No. This is the ARM management plane only — it provisions the workspace itself. Cluster, job, and notebook operations use the Databricks REST API at https://{region}.azuredatabricks.net/ with personal access tokens or Azure AD tokens for the workspace.
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