The Replace Words in Response node allows you to define multiple find-and-replace rules to modify your LLM responses. Each replacement can use either plain text or regex patterns, with support for case-sensitive matching.

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Functionality

The Replace Words in Response node acts as a text transformer, finding and replacing specified patterns in your LLM responses. This can be useful for:
  • Response Formatting: Standardize output formats and styling
  • Content Filtering: Remove or modify unwanted content patterns
  • Brand Consistency: Ensure consistent terminology in responses
  • Data Transformation: Convert units or standardize numerical formats
  • Response Sanitization: Clean up or modify AI-generated content

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Node Properties

For each replacement rule you add, you can configure:
  • Find:
    • Text to Find: The pattern or text to search for in the response
    • Use Regex: Toggle to enable regular expression pattern matching
    • Case Sensitive: Toggle to make the pattern matching case sensitive
  • Replace:
    • Replacement Text: The text to insert in place of matched content
You can add multiple replacement rules using the “Add a Replacement” button. Rules are applied sequentially in the order they are defined.

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Usage Examples

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Scenario: Response Standardization

Let’s say you want to ensure consistent terminology in AI responses:
  1. Add a Replace Words in Response node after your LLM node
  2. Add multiple replacements:
    • Find: “AI assistant”, Replace: “Virtual Assistant”
    • Find: “artificial intelligence”, Replace: “AI”
    • Find: “I think”, Replace: “Based on the available information”
  3. Enable “Case sensitive” where appropriate
  4. This helps maintain consistent branding and professional tone in responses

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Scenario: Response Sanitization

Let’s say you want to remove or mask sensitive information that the LLM might inadvertently include:
  1. Add a Replace Words in Response node after your LLM node
  2. Enable “Use regex”
  3. Configure a replacement:
    • Find: /[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}/
    • Replace: “[REDACTED EMAIL]”
  4. This will replace any email addresses in the response with “[REDACTED EMAIL]“

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Tips and Best Practices

  • Place this node immediately after LLM nodes to process their outputs
  • Order your replacements carefully as they are applied sequentially
  • Use regex for complex pattern matching needs
  • Test replacements with various response types to ensure desired outcomes
  • Consider case sensitivity requirements for your use case
  • Monitor replaced content to ensure accuracy
  • Keep replacement rules simple and focused for better maintenance
  • Regularly review and update rules as LLM response patterns evolve