CLI (v2) serverless connection YAML schema
APPLIES TO: 
Azure CLI ml extension v2 (current)
Note
The YAML syntax detailed in this document is based on the JSON schema for the latest version of the ML CLI v2 extension. This syntax is guaranteed only to work with the latest version of the ML CLI v2 extension. You can find the schemas for older extension versions at https://azuremlschemasprod.azureedge.net/.
YAML syntax
| Key | Type | Description | Allowed values | Default value |
|---|---|---|---|---|
$schema |
string | The YAML schema. If you use the Azure Machine Learning Visual Studio Code extension to author the YAML file, include $schema at the top of your file to invoke schema and resource completions. |
||
name |
string | Required. The connection name. | ||
description |
string | The connection description. | ||
tags |
object | The connection tag dictionary. | ||
type |
string | Required. The connection type. | serverless |
sereverless |
is_shared |
boolean | true if the connection is shared across other projects in the hub; otherwise, false. |
true |
|
endpoint |
string | Required. The serverless endpoint for this connection. | ||
api_key |
string | Required. The API key used to authenticate the connection. |
Remarks
The schema described in this article is used to create a serverless connection.
While the az ml connection commands can be used to manage both Azure Machine Learning and Azure AI Studio connections, the Azure AI Speech Services connection is specific to Azure AI Studio.
Examples
These examples would be in the form of YAML files and used from the CLI. For example, az ml connection create -f <file-name>.yaml.
YAML: API key
#ServerlessConnection.yml
name: my_maas_apk
type: serverless_model
endpoint: https://serverless.endpoint.net/
api_key: XXXXXXXXXXXXXXX