Simple Prompt Moderation

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Node Details

• Name: inputModerationSimple

• Type: Moderation

• Version: 2.0

• Category: Moderation

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Base Classes

• Moderation

• (Additional base classes from the Moderation parent class)

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Parameters

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Inputs

1. Deny List (Required)

   • Type: string

   • Description: List of denied phrases or instructions (one per line)

   • Example:

     ignore previous instructions
     do not follow the directions
     you must ignore all previous instructions
     

2. Chat Model (Optional)

   • Type: BaseChatModel

   • Description: Language model to detect semantic similarities with denied phrases

3. Error Message (Optional)

   • Type: string

   • Default: “Cannot Process! Input violates content moderation policies.”

   • Description: Custom error message to display when moderation fails

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Functionality

The Simple Prompt Moderation node provides content filtering through the following features:

1. Pattern Matching

   • Exact match detection against deny list

   • Case-insensitive comparison

   • Line-by-line analysis

2. Semantic Analysis (when Chat Model is provided)

   • Similarity detection using LLM

   • Context-aware filtering

   • Flexible matching capabilities

3. Customization Options

   • User-defined deny lists

   • Configurable error messages

   • Optional LLM integration

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Use Cases

1. Prompt Injection Prevention

   • Block attempts to override system instructions

   • Prevent prompt manipulation

   • Maintain system integrity

2. Content Filtering

   • Filter specific keywords or phrases

   • Implement custom content policies

   • Control user input quality

3. Safety Enforcement

   • Prevent harmful instructions

   • Block unwanted commands

   • Maintain usage boundaries

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Integration Notes

• Position the node early in your workflow to filter inputs

• Consider combining with other moderation nodes for layered protection

• Monitor and update deny lists regularly

• Test thoroughly with various input patterns

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Best Practices

1. Deny List Management

   • Keep deny lists up to date

   • Use specific, clear patterns

   • Document denied phrases

   • Regular expression support for complex patterns

2. Error Handling

   • Provide clear error messages

   • Log moderation events

   • Implement appropriate fallbacks

3. Performance Optimization

   • Balance deny list size with performance

   • Consider caching for frequent patterns

   • Monitor LLM usage when enabled

4. Maintenance

   • Regular deny list reviews

   • Update patterns based on new threats

   • Monitor false positive/negative rates

   • Adjust sensitivity as needed