Connect Source

Connecting an AI/ML source is the first step in activating AI within your business workflows. AI Squared allows you to seamlessly integrate your deployed model endpoints—from providers like SageMaker, Vertex AI, Databricks, or custom HTTP APIs.

This guide walks you through connecting a new model source.

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Step 1: Select an AI/ML Source

1. Navigate to AI Activation → AI Modeling → Connect Source
2. Click on Add Source
3. Choose your desired connector from the list:
   • AWS SageMaker
   • Google Vertex AI
   • Databricks Model
   • OpenAI Model Endpoint
   • HTTP Model Source (Generic)

📸 Placeholder for: Screenshot of “Add Source” screen

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Step 2: Enter Endpoint Details

Each connector requires some basic configuration for successful integration.

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Required Fields

• Endpoint Name – A meaningful name for this model source
• Endpoint URL – The endpoint where the model is hosted
• Authentication Method – e.g., OAuth, API Key, Bearer Token
• Auth Header / Secret Key – If applicable
• Request Format – Structure expected by the model (e.g., JSON payload)
• Response Format – Format returned by the model (e.g., structured JSON with keys)

📸 Placeholder for: Screenshot of endpoint input form

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Step 3: Test Connection

Click Test Connection to validate that the model endpoint is reachable and returns a valid response.

• Ensure all fields are correct
• The system will validate the endpoint and return a success or error message

📸 Placeholder for: Screenshot of test success/failure

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Step 4: Define Input Schema

The input schema specifies the fields your model expects during inference.

Field	Description
Name	Key name expected by the model
Type	Data type: String, Integer, Float, Boolean
Value	Static or dynamic input value

📸 Placeholder for: Input schema editor screenshot

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Step 5: Define Output Schema

The output schema ensures consistent mapping of the model’s response.

Field	Description
Field Name	Key name from the model response
Type	Data type: String, Integer, Float, Boolean

📸 Placeholder for: Output schema editor screenshot

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Step 6: Save the Source

Click Save once configuration is complete. Your model source will now appear in the AI Modeling tab and can be used in downstream workflows such as Data Apps or visualizations.

📸 Placeholder for: Final save and confirmation screen

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Need help? Head over to our Support & FAQs section for troubleshooting tips or reach out via the in-app help widget.