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Version: 0.0.36

Azure

Integrating Azure with Lakehousecat enables advanced AI functionalities such as Chat Embedding, Text-to-Speech, and Speech-to-Text. This section will guide administrators in configuring Azure as a provider within Lakehousecat.

Prerequisites​

Ensure you have the following before starting the configuration process:

  • Access to Lakehousecat as an administrator
  • Active Azure subscription with access to OpenAI resources
  • Azure Endpoint URL
  • Azure API Key
  • Deployment-ID aligning with your chosen Azure Model

Step-by-Step Guide​

  1. Navigate to the Workspace

    • Begin by accessing your Lakehousecat workspace where models are managed.

  2. Go to the Models Section

    • From the workspace, navigate to the 'Models' menu to enter the model configuration interface.

  3. Select "Provider Models"

    • In the Models section, look for and select "Provider Models" to proceed with the provider setup.

  4. Choose Azure as the Provider Type

    • In the dropdown menu or combobox, select 'Azure' as the Provider Type.

  5. Choose Model Type

    • You may choose among several options such as Chat Embedding, Text-to-Speech, and Speech-to-Text. For this example, we will proceed with 'Chat'.

Step 3: Configure the Azure Provider​

  • Configuration Name: Assign a clear and descriptive name to your configuration. Naming conventions should enhance identification.
  • Azure Endpoint URL: Input the Azure Endpoint URL, e.g., https://resourcename.openai.azure.com/. Ensure accuracy to enable successful connections.
  • Azure Region: Specify the Azure Region, such as 'Sweden Central'. This should match your resource region in Azure.
  • Azure API Key: Provide your Azure API Key used for authentication. This can be found in your Azure Portal.
  • API Version: Enter the API Version relevant to your models, available in the Microsoft Azure documentation.
  • Deployment ID: Ensure that the Deployment ID corresponds with your Azure Model ID.

Step 4: Save and Validate the Configuration​

  1. After providing all necessary details, click the Save button.
  2. Lakehousecat will initiate validation of the configuration parameters. Ensure all inputs are correct to avoid validation errors.
  3. Upon successful validation, your Azure configuration will be active and ready for utilization.

Best Practices​

  • Consistent Naming: Apply a consistent naming strategy to ease management and identification across multiple configurations.
  • Documentation Review: Regularly consult Microsoft Azure documentation to stay updated on API changes and best practices.

Troubleshooting​

Should you encounter challenges during the setup:

  • Validation Errors: Verify the accuracy of the Endpoint URL, API Key, and Deployment ID.
  • Access Issues: Confirm that your Azure role permissions allow interactions with OpenAI resources.

By following these instructions, administrators can effectively establish Azure as a powerful AI provider within the Lakehousecat platform.