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Azure OpenAI Configuration

Azure OpenAI Configuration Interface The Azure OpenAI configuration screen in PipesHub where you’ll enter your Endpoint, Deployment Name, API Key, and Model Name PipesHub allows you to integrate with Azure OpenAI’s powerful language models to enable AI features in your workspace, providing enterprise-grade security and compliance with your Azure deployment.

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Required Fields

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Endpoint *

The Endpoint URL is required to connect to your Azure OpenAI service instance. How to obtain your Endpoint:
  1. Log in to the Azure Portal
  2. Navigate to your Azure OpenAI resource
  3. Go to the “Keys and Endpoint” section in the left navigation
  4. Copy the Endpoint URL (it will look like: https://your-resource-name.openai.azure.com/)
Note: The endpoint must include the complete URL with your resource name.

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Deployment Name *

The Deployment Name refers to the specific model deployment you’ve created in your Azure OpenAI service. How to find your Deployment Name:
  1. In the Azure Portal, navigate to your Azure OpenAI resource
  2. Select “Model deployments” from the left navigation
  3. Find the deployment you want to use and copy the “Deployment name”
  4. This is the name you assigned when you deployed the model (not the model name itself)

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API Key *

The API Key authenticates your requests to your Azure OpenAI service. How to obtain your API Key:
  1. In the Azure Portal, navigate to your Azure OpenAI resource
  2. Go to the “Keys and Endpoint” section in the left navigation
  3. Copy either Key 1 or Key 2 (both will work)
Security Note: Your API key should be kept secure and never shared publicly. PipesHub securely stores your API key and uses it only for authenticating requests to your Azure OpenAI service.

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Model Name *

The Model Name field defines which Azure OpenAI model you want to use with PipesHub. Popular Azure OpenAI models include:
  • gpt-4.1 - OpenAI’s flagship model for complex tasks. It is well suited for problem solving across domains.
  • gpt-4o - Powerful model balancing cost and capability.
  • gpt-4o-mini - Faster, more cost-effective option for many use cases.
How to choose a model:
  • For complex reasoning and advanced features, select gpt-4 or gpt-4-turbo
  • For routine tasks and lower latency, select gpt-35-turbo
  • Check the Azure OpenAI model documentation for the most up-to-date options

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Configuration Steps

As shown in the image above:
  1. Select “Azure OpenAI” as your Provider from the dropdown
  2. Enter your Endpoint URL in the designated field (marked with *)
  3. Specify your Deployment Name from your Azure OpenAI service (marked with *)
  4. Enter your Azure OpenAI API Key (marked with *)
  5. Specify your Model Name (marked with *)
  6. Click “Continue” to proceed with setup
All fields (Endpoint, Deployment Name, API Key, and Model Name) are required to successfully configure Azure OpenAI integration. You must complete these fields to proceed with the setup.

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Usage Considerations

  • API usage will count against your Azure OpenAI resource’s quota and billing
  • Different models have different pricing - check Azure’s pricing page for details
  • Model capabilities vary - more powerful models may provide better results but at higher cost
  • Azure OpenAI provides additional enterprise features like:
    • Virtual Network support
    • Role-based access control
    • Content filtering
    • Regional data residency

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Troubleshooting

  • If you encounter authentication errors, verify your API key and endpoint are correct
  • Ensure your Azure subscription is active and has sufficient quota for the selected model
  • Verify that the deployment name exists in your Azure OpenAI resource
  • Check that the model name matches one of the models available in your Azure OpenAI service
  • Ensure your IP address is allowed if you’ve configured network access restrictions
For additional support, refer to the Azure OpenAI documentation or contact PipesHub support.