OpenAI Moderation

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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