🗝️AzureAI API Keys

These are the steps to obtain AzureAI API Keys

Step 1: How to Sign Up for API Key

  • Create Azure Account: Sign up or log in at the Azure Portal.
  • Create a Cognitive Services Resource: Go to "Cognitive Services" and set up a new resource.
  • Obtain API Key: Find your API key in the “Keys and Endpoint” tab of your resource settings.

Step 2: Choosing a Programming Language

Azure AI APIs support Python, Java, C#, Node.js, Ruby, and PHP. Select one that aligns with your project or expertise.

Step 3: Setting up a Development Environment

Prepare your environment with the necessary SDKs, tools, and libraries relevant to your chosen language.

Step 4: Authenticating API Key

Include the API key in request headers for Azure AI services authentications.

Step 5: Making API Requests

Use the endpoint URL provided in Azure portal. Format the requests as per the Azure AI service documentation. Then, send the requests using the HTTP client of your programming language.

Step 6: Handling API Responses

Expect responses in JSON format. Utilize JSON parsing methods in your language. Implement error handling for different response codes and specific Azure service errors.

Step 7: Securing the API Key

  • Avoid hard-coding API keys in source files.
  • Store API keys in environment variables or secure vaults.
  • Regularly monitor and regenerate API keys.
  • Use role assignments to restrict access to API keys.

Additional Specific Details

  • Types of API Keys: Admin keys provide full access, while Query keys offer read-only access.
  • Permissions for API Keys: Certain Azure roles like Owner and Contributor have permissions to view and manage API keys.
  • Managing API Keys: API keys can be viewed and managed in the Azure portal, PowerShell, Azure CLI, or via REST API.
  • Query Key Creation: Use Query keys for read-only access in client applications.
  • Regenerating Admin Keys: Follow the process outlined for regenerating admin keys to maintain security.
  • Securing Keys: Use role assignments effectively to secure your API keys.

For further detailed information, including specific code examples, please refer to the official Azure AI documentation.