Modules/Public/InventoryModules/AI/MLEndpoints.ps1
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<#
.Synopsis Inventory for Azure Machine Learning Online Endpoints .DESCRIPTION This script retrieves all online and batch endpoints within Azure Machine Learning workspaces via the ARM REST API. Excel Sheet Name: ML Endpoints .Link https://github.com/thisismydemo/azure-scout/Modules/Public/InventoryModules/AI/MLEndpoints.ps1 .COMPONENT This PowerShell Module is part of Azure Scout (AZSC). .CATEGORY AI .NOTES Version: 1.0.0 First Release Date: February 24, 2026 Authors: AzureScout Contributors #> <######## Default Parameters. Don't modify this ########> param($SCPath, $Sub, $Intag, $Resources, $Retirements, $Task, $File, $SmaResources, $TableStyle, $Unsupported) If ($Task -eq 'Processing') { $mlWorkspaces = $Resources | Where-Object { $_.TYPE -eq 'microsoft.machinelearningservices/workspaces' -and $_.KIND -notin @('Hub', 'Project') } if ($mlWorkspaces) { $tmp = foreach ($ws in $mlWorkspaces) { $sub1 = $SUB | Where-Object { $_.Id -eq $ws.subscriptionId } $apiVersion = '2023-04-01' $baseUri = "/subscriptions/$($ws.subscriptionId)/resourceGroups/$($ws.RESOURCEGROUP)/providers/Microsoft.MachineLearningServices/workspaces/$($ws.NAME)" foreach ($endpointType in @('onlineEndpoints', 'batchEndpoints')) { $uri = "$baseUri/$endpointType`?api-version=$apiVersion" try { $response = Invoke-AzRestMethod -Path $uri -Method GET -ErrorAction SilentlyContinue if ($response.StatusCode -eq 200) { $result = $response.Content | ConvertFrom-Json $endpoints = if ($result.value) { $result.value } else { @() } foreach ($1 in $endpoints) { $ResUCount = 1 $eProp = $1.properties # Count deployments $deplUri = "$baseUri/$endpointType/$($1.name)/deployments?api-version=$apiVersion" $deplCount = 0 try { $deplResp = Invoke-AzRestMethod -Path $deplUri -Method GET -ErrorAction SilentlyContinue if ($deplResp.StatusCode -eq 200) { $deplResult = $deplResp.Content | ConvertFrom-Json $deplCount = if ($deplResult.value) { @($deplResult.value).Count } else { 0 } } } catch {} $obj = @{ 'Workspace Name' = $ws.NAME; 'Subscription' = $sub1.Name; 'Resource Group' = $ws.RESOURCEGROUP; 'Endpoint Name' = $1.name; 'Endpoint Type' = if ($endpointType -eq 'onlineEndpoints') { 'Online' } else { 'Batch' }; 'Auth Mode' = if ($eProp.authMode) { $eProp.authMode } else { 'N/A' }; 'Scoring URI' = if ($eProp.scoringUri) { $eProp.scoringUri } else { 'N/A' }; 'Deployments Count' = $deplCount; 'Provisioning State'= if ($eProp.provisioningState) { $eProp.provisioningState } else { 'N/A' }; 'Description' = if ($eProp.description) { $eProp.description } else { 'N/A' }; 'Resource U' = $ResUCount; 'Tag Name' = ''; 'Tag Value' = ''; } $obj } } } catch { Write-Debug ("MLEndpoints: Failed $endpointType for $($ws.NAME): $_") } } } $tmp } } Else { if ($SmaResources) { $TableName = ('MLEndpointsTable_' + (($SmaResources.'Resource U' | Measure-Object -Sum).Sum)) $Style = New-ExcelStyle -HorizontalAlignment Left -AutoSize -NumberFormat '0' $Exc = New-Object System.Collections.Generic.List[System.Object] $Exc.Add('Workspace Name') $Exc.Add('Subscription') $Exc.Add('Resource Group') $Exc.Add('Endpoint Name') $Exc.Add('Endpoint Type') $Exc.Add('Auth Mode') $Exc.Add('Scoring URI') $Exc.Add('Deployments Count') $Exc.Add('Provisioning State') $Exc.Add('Description') $Exc.Add('Resource U') [PSCustomObject]$SmaResources | ForEach-Object { $_ } | Select-Object $Exc | Export-Excel -Path $File ` -WorksheetName 'ML Endpoints' ` -AutoSize -MaxAutoSizeRows 100 ` -TableName $TableName -TableStyle $TableStyle -Style $Style } } |