Adding an AI/ML Source

You can connect your hosted AI/ML model endpoints to AI Squared in just a few steps. This allows your models to power real-time insights across business applications.

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Step 1: Select Your AI/ML Source

1. Navigate to Sources → AI/ML Sources in the sidebar.
2. Click “Add Source”.
3. Select the AI/ML source connector from the list.

📸 Add screenshot of “Add AI/ML Source” UI

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Step 2: Define and Connect the Endpoint

Fill in the required connection details:

• Endpoint Name – A descriptive name for easy identification.
• Endpoint URL – The hosted URL of your AI/ML model.
• Authentication Method – Choose between OAuth, API Key, etc.
• Authorization Header – Format of the header (if applicable).
• Secret Key – For secure access.
• Request Format – Define the input structure (e.g., JSON).
• Response Format – Define how the model returns predictions.

📸 Add screenshot of endpoint configuration UI

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Step 3: Test the Source

Before saving, click “Test Connection” to verify that the endpoint is reachable and properly configured.

⚠️ If the test fails, check for errors in the endpoint URL, headers, or authentication values.

📸 Add screenshot of test results with success/failure examples

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Step 4: Save the Source

Once the test passes:

• Provide a name and optional description.
• Click “Save” to finalize setup.
• Your model source will now appear under AI/ML Sources.

📸 Add screenshot showing saved model in the source list

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Step 5: Define Input Schema

The Input Schema tells AI Squared how to format data before sending it to the model.

Each input field requires:

• Name – Matches the key in your model’s input payload.
• Type – String, Integer, Float, or Boolean.
• Value Type – Dynamic (from data/apps) or Static (fixed value).

📸 Add screenshot of input schema editor

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Step 6: Define Output Schema

The Output Schema tells AI Squared how to interpret the model’s response.

Each output field requires:

• Field Name – The key returned by the model.
• Type – Define the type: String, Integer, Float, Boolean.

This ensures downstream systems or visualizations can consume the output consistently.

📸 Add screenshot of output schema editor

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✅ You’re Done!

You’ve successfully added and configured your hosted AI/ML model as a source in AI Squared. Your model can now be used in Data Apps, Chatbots, and other workflow automations.