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Node Details

  • Name: inputModerationOpenAI
  • Type: Moderation
  • Version: 1.0
  • 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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Credential (Required)

  • Type: credential
  • Credential Names: openAIApi
  • Description: OpenAI API credentials for accessing the moderation service

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Inputs

  1. Error Message (optional)
    • Type: string
    • Default: “Cannot Process! Input violates OpenAI’s content moderation policies.”
    • Description: Custom error message to display when content violates moderation policies

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Functionality

The OpenAI Moderation node provides real-time content analysis through the following features:
  1. Content Analysis
    • Analyzes text for harmful or inappropriate content
    • Uses OpenAI’s advanced moderation models
    • Provides detailed categorization of potential violations
  2. Policy Enforcement
    • Ensures compliance with OpenAI’s usage policies
    • Prevents processing of prohibited content
    • Maintains consistent content standards
  3. Integration Features
    • Seamless integration with OpenAI services
    • Real-time moderation checks
    • Customizable error handling

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Use Cases

  1. Content Pre-screening
    • Filter user inputs before processing
    • Prevent policy violations
    • Maintain content quality
  2. API Compliance
    • Ensure adherence to OpenAI’s policies
    • Prevent API usage violations
    • Manage content restrictions
  3. Safety Monitoring
    • Detect harmful content
    • Flag inappropriate submissions
    • Protect system integrity

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Integration Notes

  • Place the node before OpenAI API calls in your workflow
  • Configure appropriate error handling
  • Monitor moderation results for system optimization
  • Consider implementing retry logic for temporary failures

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Best Practices

  1. Configuration
    • Use clear, informative error messages
    • Set appropriate timeout values
    • Implement proper error handling
  2. Monitoring
    • Track moderation results
    • Monitor false positives/negatives
    • Adjust settings based on performance
  3. Maintenance
    • Keep API credentials secure
    • Update error messages as needed
    • Monitor OpenAI policy changes