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Version: 0.0.36

Anthropic

Integrating Anthropic models with Lakehousecat enhances your data projects with advanced AI capabilities. This document provides detailed instructions on configuring Anthropic as a model provider within Lakehousecat.

Prerequisites​

Before configuration, ensure you have:

  • Access to Lakehousecat as an admin
  • API Key obtained from Anthropic
  • Understanding of Anthropic model types and requirements

Step-by-Step Configuration Guide​

  1. Log in and Navigate to the Workspace

    • Log in to Lakehousecat as an administrator and navigate to your workspace.

  2. Access the 'Provider Models' Section

    • Within the workspace, select the 'Models' area and proceed to the 'Provider Models' section.

  3. Click the Plus Icon

    • In the 'Provider Models' section, locate and click the Plus (+) icon to add a new provider.

  4. Select "Anthropic" Provider Type

    • From the list of available providers, choose "Anthropic" to proceed with the configuration.

  5. Configure the Anthropic Model

    • Configuration Name: Enter a descriptive name following your organization's naming conventions.
    • API Key: Provide the API Key as obtained from the Anthropic documentation. This is essential for authenticating requests.
    • Model ID: Specify the Model ID as outlined in the Anthropic documentation. This ensures the correct model type, such as 'Chat', is selected.

Step 6: Save and Validate Configuration​

  1. After entering the necessary information, click the Save button.
  2. Lakehousecat will validate the configuration details. Ensure all entries are accurate to avoid errors.
  3. Once validation is successful, you may register the configuration and, if desired, set it as the default model for Lakehousecat.

Best Practices​

  • Consistent Naming: Use standard naming conventions for easy identification and management of configurations.
  • Regular Updates: Keep your API keys and model settings updated according to Anthropic's latest documentation.

Troubleshooting​

If issues arise during setup:

  • Validation Errors: Verify the correctness of the API Key and any specified Model ID.
  • Configuration Issues: Review documentation for model-specific requirements and constraints.