# Generated by API Evangelist (build-phrasing.py). Our phrasing, not observed demand. overlay: 1.0.0 info: title: API Evangelist conversational phrasing for Microsoft Azure Token API version: 1.0.0 extends: openapi/microsoft-azure-token-api-openapi.yml actions: - target: $.info update: x-apievangelist-phrasing: method: generated generated: '2026-09-26' generator: build-phrasing.py label: Generated by API Evangelist operations: 2 - target: $.paths['/modelmanagement/v1.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroup}/providers/Microsoft.MachineLearningServices/workspaces/{workspace}/services/{id}/token'].post update: x-apievangelist-phrasing: intent: Get an access token for an ML web service effect: write questions: - How do I get a token to call a deployed Azure ML model service? - Where does the access token for a model-management service come from? instructions: - text: Generate an access token for service {id} in workspace {workspace} ({resourceGroup}, sub {subscriptionId}). slots: id: path.id workspace: path.workspace resourceGroup: path.resourceGroup subscriptionId: path.subscriptionId - text: Get a token to call ML service {id}. slots: id: path.id method: generated generated: '2026-09-26' - target: $.paths['/identities/{id}/:issueAccessToken'].post update: x-apievangelist-phrasing: intent: Issue a Communication Services identity token effect: write questions: - How do I give a Communication Services user a token for chat or VoIP? - Which scopes can I request when issuing an identity access token? instructions: - text: Issue an access token for identity {id} with scopes {scopes}. slots: id: path.id scopes: requestBody.scopes - text: Give communication identity {id} a new chat token. slots: id: path.id method: generated generated: '2026-09-26'