> ## Documentation Index
> Fetch the complete documentation index at: https://docs.squared.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Model Configuration

This section answers frequently asked questions about configuring AI models within AISquared, including how to define schemas, preprocess inputs, and ensure model compatibility.

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## Input & Output Schema

### What is the input schema used for?

The input schema defines the structure of data sent to your model. Each key in the schema maps to a variable used by the model endpoint.

* Ensure all required fields are covered
* Match data types (string, integer, float, boolean) exactly
* Use dynamic/static value tagging depending on your use case

### What is the output schema used for?

The output schema maps the model’s prediction response to fields that can be used in visualizations and downstream applications.

* Identify key-value pairs in the model response
* Use flat structures (nested objects not supported currently)
* Label predictions clearly for user-facing display

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## Preprocessing & Formatting

### How do I clean or transform inputs before sending them to the model?

Use AI Squared's built-in **Preprocessing Rules**, which allow no-code logic to:

* Format strings or numbers (e.g., round decimals)
* Apply conditional logic (e.g., replace nulls)
* Normalize or scale inputs

Preprocessors are configurable per input field.

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## Updating a Model Source

### Can I update a connected model after initial setup?

Yes, you can:

* Edit endpoint details (URL, auth, headers)
* Modify input/output schemas
* Add or update preprocessing rules

Changes will reflect in associated Data Apps using the model.

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## Debugging Model Issues

### How can I test if my model responds correctly?

1. Navigate to the AI Modeling section and click on **Test Model**
2. Provide sample input data based on your schema
3. Review the response payload

Common issues include:

* Auth failures (invalid API keys or tokens)
* Incorrect input field names or types
* Mismatched response format from expected schema

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