Configuring Azure OpenAI

Configure Azure OpenAI in AppScan to improve error page detection and validate LLM testing.

Follow these steps to configure Azure OpenAI.

  1. Navigate to Tools > Options > AI settings.
  2. Enter the Endpoint in the following format: https://{azure_openai_endpoint}/openai/deployments/{deployment_name}/chat/completions
    Table 1. Endpoint elements
    Element Description Example
    {azure_openai_endpoint}

    Substitute with the value from the Endpoint field under the Keys & Endpoint section from the Azure portal.

    		 https://aoairesource.openai.azure.com
    {deployment_name} Corresponds to the custom name you chose for your deployment when you deployed a model. You can get this value from Azure OpenAI Studio of your Azure portal.
    Note:
    • Azure OpenAI testing was conducted using GPT-4o, version 2024-08-06. We recommend using this specific model and version to avoid any failures.
    • Thinking models, such as GPT-5 and O4-mini, are not supported.
    		 GPT-4o
    Example of endpoint: https://aoairesource.openai.azure.com/openai/deployments/GPT-4o/chat/completions
  3. Enter the API Key. This value can be found in the Keys & Endpoint section when examining your resource from the Azure portal. You can use either KEY1 or KEY2.
    CAUTION: Ensure both the Endpoint and API Key values are correct, as there is no validation to catch typos or errors.
  4. Click Apply to save the configuration.

    Result: The Azure OpenAI endpoint and API key have been configured.

What to do next: Start your scan in AppScan as usual.