
Azure GetDeployment
CertifiedRetrieve deployment status and configuration from Azure AI Foundry
Azure GetDeployment
Retrieve deployment status and configuration from Azure AI Foundry
Fetches a named deployment via the Azure AI Projects DeploymentsClient. Requires Entra ID authentication (DefaultAzureCredential); API-key authentication is not supported by this client.
type: io.kestra.plugin.azure.aifoundry.GetDeploymentExamples
Retrieve a model deployment from Azure AI Foundry
id: azure_ai_get_deployment
namespace: company.team
tasks:
- id: get_deployment
type: io.kestra.plugin.azure.aifoundry.GetDeployment
endpoint: "{{ secret('AZURE_AI_FOUNDRY_ENDPOINT') }}"
tenantId: "{{ secret('AZURE_TENANT_ID') }}"
clientId: "{{ secret('AZURE_CLIENT_ID') }}"
clientSecret: "{{ secret('AZURE_CLIENT_SECRET') }}"
deploymentName: gpt-4o
Properties
deploymentName *Requiredstring
The name of the deployment to retrieve
endpoint *Requiredstring
Azure AI Foundry endpoint
The Azure AI Foundry project or model endpoint URL.
apiKey string
Azure AI Foundry API key
API key for API-key authentication. When omitted, DefaultAzureCredential (Entra ID) is used instead.
clientId string
Azure client ID
Client ID of the Azure app registration used with tenantId and clientSecret.
clientSecret string
Azure client secret
Client secret of the Azure app registration used with tenantId and clientId.
pluginDefaultsRef Non-dynamicstring
Reference (ref) of the pluginDefaults to apply to this task.
tenantId string
Azure tenant ID
Azure Entra tenant ID used with clientId and clientSecret for service principal authentication.
Outputs
configuration
Full deployment configuration object
io.kestra.plugin.azure.aifoundry.GetDeployment-DeploymentRecord
Connection name
Model name
Model publisher
Model version
name string
Deployment name