Use Azure OpenAI without keys

Article
11/14/2024

Application requests to most Azure services must be authenticated with keys or passwordless connections. Developers must be diligent to never expose the keys in an unsecure location. Anyone who gains access to the key is able to authenticate to the service. Keyless authentication offers improved management and security benefits over the account key because there's no key (or connection string) to store.

Keyless connections are enabled with the following steps:

Configure your authentication.
Set environment variables, as needed.
Use an Azure Identity library credential type to create an Azure OpenAI client object.

Authentication

Authentication to Microsoft Entra ID is required to use the Azure client libraries.

Authentication differs based on the environment in which the app is running:

Local development
Azure

Azure OpenAI Keyless Building Block

Use the following link to explore the Azure OpenAI Keyless Building Block AI template. This template provisions an Azure OpenAI account with your user account RBAC role permission for keyless (Microsoft Entra) authentication to access the OpenAI API SDKs.

Note

This article uses one or more AI app templates as the basis for the examples and guidance in the article. AI app templates provide you with well-maintained, easy to deploy reference implementations that help to ensure a high-quality starting point for your AI apps.

Explore the .NET End to end Azure OpenAI Keyless Authentication Building Block AI template.

Authenticate for local development

Select a tool for authentication during local development.

Authenticate for Azure-hosted environments

Learn about how to manage the DefaultAzureCredential for applications deployed to Azure.

Configure roles for authorization

Find the role for your usage of Azure OpenAI. Depending on how you intend to set that role, you need either the name or ID.

Role name Role ID

For Azure CLI or Azure PowerShell, you can use role name. For Bicep, you need the role ID.

Role name	Role ID
For Azure CLI or Azure PowerShell, you can use role name.	For Bicep, you need the role ID.

Use the following table to select a role and ID.

Use case	Role name	Role ID
Assistants	`Cognitive Services OpenAI Contributor`	`a001fd3d-188f-4b5d-821b-7da978bf7442`
Chat completions	`Cognitive Services OpenAI User`	`5e0bd9bd-7b93-4f28-af87-19fc36ad61bd`

Select an identity type to use.
- Personal identity: This is your personal identity tied to your sign in to Azure.
- Managed identity: This is an identity managed by and created for use on Azure. For managed identity, create a user-assigned managed identity. When you create the managed identity, you need the Client ID, also known as the app ID.
To find your personal identity, use one of the following commands. Use the ID as the <identity-id> in the next step.
For local development, to get your own identity ID, use the following command. You need to sign in with az login before using this command.
```
az ad signed-in-user show \
    --query id -o tsv
```
For local development, to get your own identity ID, use the following command. You need to sign in with Connect-AzAccount before using this command.
```
(Get-AzContext).Account.ExtendedProperties.HomeAccountId.Split('.')[0]
```
When using Bicep deployed with Azure Developer CLI, the identity of the person or service running the deployment is set to the principalId parameter.

The following main.parameters.json variable is set to the identity running the process.
```
"principalId": {
    "value": "${AZURE_PRINCIPAL_ID}"
  },
```
For use in Azure, specify a user-assigned managed identity as part of the Bicep deployment process. Create a user-assigned managed identity separate from the identity running the process.
```
resource userAssignedManagedIdentity 'Microsoft.ManagedIdentity/userAssignedIdentities@2018-11-30' = {
  name: managedIdentityName
  location: location
}
```
Use the steps found here: find the user object ID in the Azure portal.

Assign the role-based access control (RBAC) role to the identity for the resource group.

To grant your identity permissions to your resource through RBAC, assign a role using the Azure CLI command az role assignment create.

az role assignment create \
    --role "Cognitive Services OpenAI User" \
    --assignee "<identity-id>" \
    --scope "/subscriptions/<subscription-id>/resourceGroups/<resource-group-name>"

To grant your application permissions to your Azure OpenAI resource through RBAC, assign a role using the Azure PowerShell cmdlet New-AzRoleAssignment.

New-AzRoleAssignment -ObjectId "<identity-id>" -RoleDefinitionName "Cognitive Services OpenAI User" -Scope "/subscriptions/<subscription-id>/resourceGroups/<resource-group-name>"

Use the following Azure OpenAI Bicep template to create the resource and set the authentication for the identityId. Bicep requires the role ID. The name shown in this Bicep snippet isn't the Azure role; it's specific to the Bicep deployment.

// main.bicep
param environment string = 'production'

// USER ROLES
module openAiRoleUser 'core/security/role.bicep' = {
    scope: openAiResourceGroup
    name: 'openai-role-user'
    params: {
        principalId: (environment == 'development') ? principalId : userAssignedManagedIdentity 
        principalType: (environment == 'development') ? 'User' : 'ServicePrincipal'
        roleDefinitionId: '5e0bd9bd-7b93-4f28-af87-19fc36ad61bd'
    }
}

The following generic Bicep is called from the main.bicep to create any role.

// core/security/role.bicep
metadata description = 'Creates a role assignment for an identity.'
param principalId string // passed in from main.bicep identityId

@allowed([
    'Device'
    'ForeignGroup'
    'Group'
    'ServicePrincipal'
    'User'
])
param principalType string = 'ServicePrincipal'
param roleDefinitionId string

resource role 'Microsoft.Authorization/roleAssignments@2022-04-01' = {
    name: guid(subscription().id, resourceGroup().id, principalId, roleDefinitionId)
    properties: {
        principalId: principalId
        principalType: principalType
        roleDefinitionId: resourceId('Microsoft.Authorization/roleDefinitions', roleDefinitionId)
    }
}

Where applicable, replace <identity-id>, <subscription-id>, and <resource-group-name> with your actual values.

Configure environment variables

To connect to Azure OpenAI, your code needs to know your resource endpoint, and may need other environment variables.

Create an environment variable for your Azure OpenAI endpoint.
- AZURE_OPENAI_ENDPOINT: This URL is the access point for your Azure OpenAI resource.

Create environment variables based on the location in which your app runs:

Location	Identity	Description
Local	Personal	For local runtimes with your personal identity, sign in to create your credential with a tool.
Azure cloud	User-assigned managed identity	Create an `AZURE_CLIENT_ID` environment variable containing the client ID of the user-assigned managed identity to authenticate as.

Install Azure Identity client library

Use the following link to install the Azure Identity client library.

Install the .NET Azure Identity client library:

dotnet add package Azure.Identity

Install the Go Azure Identity client library:

go get -u github.com/Azure/azure-sdk-for-go/sdk/azidentity

Install the Java Azure Identity client library with the following POM file:

<dependencyManagement>
    <dependencies>
        <dependency>
            <groupId>com.azure</groupId>
            <artifactId>azure-identity</artifactId>
            <version>1.10.0</version>
            <type>pom</type>
            <scope>import</scope>
        </dependency>
    </dependencies>
</dependencyManagement>

Install the JavaScript Azure Identity client library:

npm install --save @azure/identity

Install the Python Azure Identity client library:

pip install azure-identity

Use DefaultAzureCredential

The Azure Identity library's DefaultAzureCredential allows the customer to run the same code in the local development environment and in the Azure Cloud.

For more information on DefaultAzureCredential for .NET, see Azure Identity client library for .NET.

using Azure;
using Azure.AI.OpenAI;
using Azure.Identity;
using System;
using static System.Environment;

string endpoint = GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT");

OpenAIClient client = new(new Uri(endpoint), new DefaultAzureCredential());

For more information on DefaultAzureCredential for Go, see Azure Identity client library for Go.

import (
	"log"

	"github.com/Azure/azure-sdk-for-go/sdk/ai/azopenai"
	"github.com/Azure/azure-sdk-for-go/sdk/azidentity"
)

func main() {
	dac, err := azidentity.NewDefaultAzureCredential(nil)

	if err != nil {
		log.Fatalf("ERROR: %s", err)
	}

	client, err := azopenai.NewClient(os.Getenv("AZURE_OPENAI_ENDPOINT"), dac, nil)

	if err != nil {
		log.Fatalf("ERROR: %s", err)
	}

	_ = client
}

For more information on DefaultAzureCredential for Java, see Azure Identity client library for Java.

import com.azure.identity.DefaultAzureCredentialBuilder;
import com.azure.ai.openai.OpenAIClient;
import com.azure.ai.openai.OpenAIClientBuilder;

String endpoint = System.getenv("AZURE_OPENAI_ENDPOINT");

DefaultAzureCredential credential = new DefaultAzureCredentialBuilder().build();
OpenAIClient client = new OpenAIClientBuilder()
    .credential(credential)
    .endpoint(endpoint)
    .buildClient();

For more information on DefaultAzureCredential for JavaScript, see Azure Identity client library for JavaScript.

import { DefaultAzureCredential, getBearerTokenProvider } from "@azure/identity";
import { AzureOpenAI } from "openai";

const credential = new DefaultAzureCredential();
const scope = "https://cognitiveservices.azure.com/.default";
const azureADTokenProvider = getBearerTokenProvider(credential, scope);

const endpoint = process.env["AZURE_OPENAI_ENDPOINT"] || "<endpoint>";
const deployment = "<your Azure OpenAI deployment name>";
const apiVersion = "2024-05-01-preview";
const options = { azureADTokenProvider, deployment, apiVersion, endpoint }

const client = new AzureOpenAI(options);

For more information on DefaultAzureCredential for Python, see Azure Identity client library for Python.

import openai
from azure.identity import DefaultAzureCredential, get_bearer_token_provider

token_provider = get_bearer_token_provider(DefaultAzureCredential(), "https://cognitiveservices.azure.com/.default")

openai_client = openai.AzureOpenAI(
    api_version=os.getenv("AZURE_OPENAI_VERSION"),
    azure_endpoint=os.getenv("AZURE_OPENAI_ENDPOINT"),
    azure_ad_token_provider=token_provider
)

Resources

Passwordless connections developer guide

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