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

# If Output Contains

> Learn how to use the **If Output Contains** node to create conditional logic based on LLM output content patterns.

The **If Output Contains** node allows you to create dynamic paths in your workflow by checking if LLM outputs contain specific text patterns or match regex expressions.

## Functionality

The **If Output Contains** node acts as a content filter, analyzing LLM output text and directing the flow based on pattern matching. This can be useful for:

* Output Validation: Ensure AI outputs meet specific criteria
* Content Classification: Route outputs based on detected themes or content
* Quality Control: Identify and handle outputs with particular characteristics
* Output Filtering: Filter out unwanted content patterns
* Automated Output Handling: Route different types of outputs to appropriate processing steps

## Node Properties

For each condition you add, you can configure:

* **Text to Match:** The pattern or text to search for in the LLM output
* **Use Regex:** Toggle to enable regular expression pattern matching
* **Case Sensitive:** Toggle to make the pattern matching case sensitive

<Note>
  Multiple conditions are evaluated using OR logic — if any condition is true, the workflow will proceed down the true path. To use AND logic, simply chain multiple **If Output Contains** nodes together.
</Note>

## Usage Examples

### Scenario: Output Quality Control

Let's say you want to handle AI outputs differently based on their content characteristics:

1. Add an **If Output Contains** node after your LLM node
2. Add conditions for quality checks:
   * Text: "I apologize" (to catch uncertainty or inability to answer)
   * Text: "I don't know" (to identify knowledge gaps)
3. Connect the "True" path to fallback handling
4. Connect the "False" path to normal processing

### Scenario: Content Classification with Regex

To categorize outputs based on specific patterns:

1. Add an **If Output Contains** node
2. Enable "Use regex"
3. Add a condition with pattern: `\$\d+(\.\d{2})?` (to identify outputs containing dollar amounts)
4. Route matching outputs to financial processing nodes

## Tips and Best Practices

* Place this node immediately after LLM nodes to analyze their outputs
* Use simple text matches for basic content detection
* Implement regex for more complex pattern recognition
* Consider case sensitivity based on your content requirements
* Chain multiple nodes for sophisticated output analysis
* Test conditions with various LLM outputs to ensure reliable routing
* Consider checking the Execution Logs to track which conditions are being triggered