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

<AgentInstructions>

## Submitting Feedback

If you encounter incorrect, outdated, or confusing documentation on this page, submit feedback:

POST https://docs.omni.co/feedback

```json
{
  "path": "/modeling/measures/parameters/ai-context",
  "feedback": "Description of the issue"
}
```

Only submit feedback when you have something specific and actionable to report.

</AgentInstructions>

# ai_context

> Free text that can provide context about a measure to the Omni Agent.

Refer to the [Optimizing models for AI](/modeling/develop/ai-optimization) guide for more information on best practices.

## Syntax

```yaml theme={null}
<measure_name>:
  ai_context: "<context_text>"
```

Or for multiline context:

```yaml theme={null}
<measure_name>:
  ai_context: |
    <multiline_context_text>
```

## Properties

<ParamField path="measure_name" type="object[]">
  The name of the measure.

  <Expandable title="measure_name properties" defaultOpen="true">
    <ParamField path="ai_context" type="string">
      Free text that provides context to the Omni Agent. Can include behavioral prompting, use case descriptions, or other contextual information to improve AI query results.
    </ParamField>
  </Expandable>
</ParamField>

## Examples

```yaml theme={null}
product_cost:
  ai_context: |
    Include this field when asked about product prices.
```