How to connect and configure a hosted AI/ML model source in AI Squared.
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.
📸 Add screenshot of “Add AI/ML Source” UI
Fill in the required connection details:
OAuth
, API Key
, etc.📸 Add screenshot of endpoint configuration UI
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
Once the test passes:
📸 Add screenshot showing saved model in the source list
The Input Schema tells AI Squared how to format data before sending it to the model.
Each input field requires:
String
, Integer
, Float
, or Boolean
.Dynamic
(from data/apps) or Static
(fixed value).📸 Add screenshot of input schema editor
The Output Schema tells AI Squared how to interpret the model’s response.
Each output field requires:
String
, Integer
, Float
, Boolean
.This ensures downstream systems or visualizations can consume the output consistently.
📸 Add screenshot of output schema editor
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.
How to connect and configure a hosted AI/ML model source in AI Squared.
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.
📸 Add screenshot of “Add AI/ML Source” UI
Fill in the required connection details:
OAuth
, API Key
, etc.📸 Add screenshot of endpoint configuration UI
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
Once the test passes:
📸 Add screenshot showing saved model in the source list
The Input Schema tells AI Squared how to format data before sending it to the model.
Each input field requires:
String
, Integer
, Float
, or Boolean
.Dynamic
(from data/apps) or Static
(fixed value).📸 Add screenshot of input schema editor
The Output Schema tells AI Squared how to interpret the model’s response.
Each output field requires:
String
, Integer
, Float
, Boolean
.This ensures downstream systems or visualizations can consume the output consistently.
📸 Add screenshot of output schema editor
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.