az ml serverless-endpoint
Note
This reference is part of the ml extension for the Azure CLI (version 2.15.0 or higher). The extension will automatically install the first time you run an az ml serverless-endpoint command. Learn more about extensions.
This command group is in preview and under development. Reference and support levels: https://aka.ms/CLI_refstatus
Manage Azure ML serverless endpoints.
Commands
Name | Description | Type | Status |
---|---|---|---|
az ml serverless-endpoint create |
Create a serverless endpoint. |
Extension | Preview |
az ml serverless-endpoint delete |
Delete a serverless endpoint. |
Extension | Preview |
az ml serverless-endpoint get-credentials |
List the keys for a serverless endpoint. |
Extension | Preview |
az ml serverless-endpoint list |
List serverless endpoints in a workspace. |
Extension | Preview |
az ml serverless-endpoint regenerate-keys |
Regenerate the keys for a serverless endpoint. |
Extension | Preview |
az ml serverless-endpoint show |
Shows details for a serverless endpoint. |
Extension | Preview |
az ml serverless-endpoint update |
Update a serverlesss endpoint. |
Extension | Preview |
az ml serverless-endpoint create
Command group 'ml serverless-endpoint' is in preview and under development. Reference and support levels: https://aka.ms/CLI_refstatus
Create a serverless endpoint.
az ml serverless-endpoint create --resource-group
--workspace-name
[--file]
[--name]
[--no-wait]
[--set]
Required Parameters
Name of resource group. You can configure the default group using az configure --defaults group=<name>
.
Name of the Azure ML workspace. You can configure the default workspace using az configure --defaults workspace=<name>
.
Optional Parameters
Local path to the YAML file containing the Azure ML serverless-endpoint specification. The YAML reference docs for serverless-endpoint can be found at:.
Name of the serverless endpoint.
Do not wait for the long-running-operation to finish. Default is False.
Update an object by specifying a property path and value to set. Example: --set property1.property2=.
Global Parameters
Increase logging verbosity to show all debug logs.
Show this help message and exit.
Only show errors, suppressing warnings.
Output format.
JMESPath query string. See http://jmespath.org/ for more information and examples.
Name or ID of subscription. You can configure the default subscription using az account set -s NAME_OR_ID
.
Increase logging verbosity. Use --debug for full debug logs.
az ml serverless-endpoint delete
Command group 'ml serverless-endpoint' is in preview and under development. Reference and support levels: https://aka.ms/CLI_refstatus
Delete a serverless endpoint.
az ml serverless-endpoint delete --name
--resource-group
--workspace-name
[--no-wait]
Required Parameters
Name of the serverless endpoint.
Name of resource group. You can configure the default group using az configure --defaults group=<name>
.
Name of the Azure ML workspace. You can configure the default workspace using az configure --defaults workspace=<name>
.
Optional Parameters
Do not wait for the long-running-operation to finish. Default is False.
Global Parameters
Increase logging verbosity to show all debug logs.
Show this help message and exit.
Only show errors, suppressing warnings.
Output format.
JMESPath query string. See http://jmespath.org/ for more information and examples.
Name or ID of subscription. You can configure the default subscription using az account set -s NAME_OR_ID
.
Increase logging verbosity. Use --debug for full debug logs.
az ml serverless-endpoint get-credentials
Command group 'ml serverless-endpoint' is in preview and under development. Reference and support levels: https://aka.ms/CLI_refstatus
List the keys for a serverless endpoint.
az ml serverless-endpoint get-credentials --name
--resource-group
--workspace-name
Required Parameters
Name of the serverless endpoint.
Name of resource group. You can configure the default group using az configure --defaults group=<name>
.
Name of the Azure ML workspace. You can configure the default workspace using az configure --defaults workspace=<name>
.
Global Parameters
Increase logging verbosity to show all debug logs.
Show this help message and exit.
Only show errors, suppressing warnings.
Output format.
JMESPath query string. See http://jmespath.org/ for more information and examples.
Name or ID of subscription. You can configure the default subscription using az account set -s NAME_OR_ID
.
Increase logging verbosity. Use --debug for full debug logs.
az ml serverless-endpoint list
Command group 'ml serverless-endpoint' is in preview and under development. Reference and support levels: https://aka.ms/CLI_refstatus
List serverless endpoints in a workspace.
az ml serverless-endpoint list --resource-group
--workspace-name
Required Parameters
Name of resource group. You can configure the default group using az configure --defaults group=<name>
.
Name of the Azure ML workspace. You can configure the default workspace using az configure --defaults workspace=<name>
.
Global Parameters
Increase logging verbosity to show all debug logs.
Show this help message and exit.
Only show errors, suppressing warnings.
Output format.
JMESPath query string. See http://jmespath.org/ for more information and examples.
Name or ID of subscription. You can configure the default subscription using az account set -s NAME_OR_ID
.
Increase logging verbosity. Use --debug for full debug logs.
az ml serverless-endpoint regenerate-keys
Command group 'ml serverless-endpoint' is in preview and under development. Reference and support levels: https://aka.ms/CLI_refstatus
Regenerate the keys for a serverless endpoint.
az ml serverless-endpoint regenerate-keys --name
--resource-group
--workspace-name
[--key-type]
[--no-wait]
Required Parameters
Name of the serverless endpoint.
Name of resource group. You can configure the default group using az configure --defaults group=<name>
.
Name of the Azure ML workspace. You can configure the default workspace using az configure --defaults workspace=<name>
.
Optional Parameters
The type of key to regenerate. Allowed values: primary, secondary.
Do not wait for the long-running-operation to finish. Default is False.
Global Parameters
Increase logging verbosity to show all debug logs.
Show this help message and exit.
Only show errors, suppressing warnings.
Output format.
JMESPath query string. See http://jmespath.org/ for more information and examples.
Name or ID of subscription. You can configure the default subscription using az account set -s NAME_OR_ID
.
Increase logging verbosity. Use --debug for full debug logs.
az ml serverless-endpoint show
Command group 'ml serverless-endpoint' is in preview and under development. Reference and support levels: https://aka.ms/CLI_refstatus
Shows details for a serverless endpoint.
az ml serverless-endpoint show --name
--resource-group
--workspace-name
Required Parameters
Name of the serverless endpoint.
Name of resource group. You can configure the default group using az configure --defaults group=<name>
.
Name of the Azure ML workspace. You can configure the default workspace using az configure --defaults workspace=<name>
.
Global Parameters
Increase logging verbosity to show all debug logs.
Show this help message and exit.
Only show errors, suppressing warnings.
Output format.
JMESPath query string. See http://jmespath.org/ for more information and examples.
Name or ID of subscription. You can configure the default subscription using az account set -s NAME_OR_ID
.
Increase logging verbosity. Use --debug for full debug logs.
az ml serverless-endpoint update
Command group 'ml serverless-endpoint' is in preview and under development. Reference and support levels: https://aka.ms/CLI_refstatus
Update a serverlesss endpoint.
az ml serverless-endpoint update --name
--resource-group
--workspace-name
[--add]
[--force-string]
[--no-wait]
[--remove]
[--set]
Required Parameters
Name of the serverless endpoint.
Name of resource group. You can configure the default group using az configure --defaults group=<name>
.
Name of the Azure ML workspace. You can configure the default workspace using az configure --defaults workspace=<name>
.
Optional Parameters
Add an object to a list of objects by specifying a path and key value pairs. Example: --add property.listProperty <key=value, string or JSON string>
.
When using 'set' or 'add', preserve string literals instead of attempting to convert to JSON.
Do not wait for the long-running-operation to finish. Default is False.
Remove a property or an element from a list. Example: --remove property.list <indexToRemove>
OR --remove propertyToRemove
.
Update an object by specifying a property path and value to set. Example: --set property1.property2=<value>
.
Global Parameters
Increase logging verbosity to show all debug logs.
Show this help message and exit.
Only show errors, suppressing warnings.
Output format.
JMESPath query string. See http://jmespath.org/ for more information and examples.
Name or ID of subscription. You can configure the default subscription using az account set -s NAME_OR_ID
.
Increase logging verbosity. Use --debug for full debug logs.