Dify
English
English
  • Getting Started
    • Welcome to Dify
      • Features and Specifications
      • List of Model Providers
    • Dify Community
      • Deploy with Docker Compose
      • Start with Local Source Code
      • Deploy with aaPanel
      • Start Frontend Docker Container Separately
      • Environment Variables Explanation
      • FAQs
    • Dify Cloud
    • Dify Premium on AWS
    • Dify for Education
  • Guides
    • Model
      • Add New Provider
      • Predefined Model Integration
      • Custom Model Integration
      • Interfaces
      • Schema
      • Load Balancing
    • Application Orchestration
      • Create Application
      • Chatbot Application
        • Multiple Model Debugging
      • Agent
      • Application Toolkits
        • Moderation Tool
    • Workflow
      • Key Concepts
      • Variables
      • Node Description
        • Start
        • End
        • Answer
        • LLM
        • Knowledge Retrieval
        • Question Classifier
        • Conditional Branch IF/ELSE
        • Code Execution
        • Template
        • Doc Extractor
        • List Operator
        • Variable Aggregator
        • Variable Assigner
        • Iteration
        • Parameter Extraction
        • HTTP Request
        • Agent
        • Tools
        • Loop
      • Shortcut Key
      • Orchestrate Node
      • File Upload
      • Error Handling
        • Predefined Error Handling Logic
        • Error Type
      • Additional Features
      • Debug and Preview
        • Preview and Run
        • Step Run
        • Conversation/Run Logs
        • Checklist
        • Run History
      • Application Publishing
      • Structured Outputs
      • Bulletin: Image Upload Replaced by File Upload
    • Knowledge
      • Create Knowledge
        • 1. Import Text Data
          • 1.1 Import Data from Notion
          • 1.2 Import Data from Website
        • 2. Choose a Chunk Mode
        • 3. Select the Indexing Method and Retrieval Setting
      • Manage Knowledge
        • Maintain Documents
        • Maintain Knowledge via API
      • Metadata
      • Integrate Knowledge Base within Application
      • Retrieval Test / Citation and Attributions
      • Knowledge Request Rate Limit
      • Connect to an External Knowledge Base
      • External Knowledge API
    • Tools
      • Quick Tool Integration
      • Advanced Tool Integration
      • Tool Configuration
        • Google
        • Bing
        • SearchApi
        • StableDiffusion
        • Dall-e
        • Perplexity Search
        • AlphaVantage
        • Youtube
        • SearXNG
        • Serper
        • SiliconFlow (Flux AI Supported)
        • ComfyUI
    • Publishing
      • Publish as a Single-page Web App
        • Web App Settings
        • Text Generator Application
        • Conversation Application
      • Embedding In Websites
      • Developing with APIs
      • Re-develop Based on Frontend Templates
    • Annotation
      • Logs and Annotation
      • Annotation Reply
    • Monitoring
      • Data Analysis
      • Integrate External Ops Tools
        • Integrate LangSmith
        • Integrate Langfuse
        • Integrate Opik
    • Extension
      • API-Based Extension
        • External Data Tool
        • Deploy API Tools with Cloudflare Workers
        • Moderation
      • Code-Based Extension
        • External Data Tool
        • Moderation
    • Collaboration
      • Discover
      • Invite and Manage Members
    • Management
      • App Management
      • Team Members Management
      • Personal Account Management
      • Subscription Management
      • Version Control
  • Workshop
    • Basic
      • How to Build an AI Image Generation App
    • Intermediate
      • Build An Article Reader Using File Upload
      • Building a Smart Customer Service Bot Using a Knowledge Base
      • Generating analysis of Twitter account using Chatflow Agent
  • Community
    • Seek Support
    • Become a Contributor
    • Contributing to Dify Documentation
  • Plugins
    • Introduction
    • Quick Start
      • Install and Use Plugins
      • Develop Plugins
        • Initialize Development Tools
        • Tool Plugin
        • Model Plugin
          • Create Model Providers
          • Integrate the Predefined Model
          • Integrate the Customizable Model
        • Agent Strategy Plugin
        • Extension Plugin
        • Bundle
      • Debug Plugin
    • Manage Plugins
    • Schema Specification
      • Manifest
      • Endpoint
      • Tool
      • Agent
      • Model
        • Model Designing Rules
        • Model Schema
      • General Specifications
      • Persistent Storage
      • Reverse Invocation of the Dify Service
        • App
        • Model
        • Tool
        • Node
    • Best Practice
      • Develop a Slack Bot Plugin
      • Dify MCP Plugin Guide: Connect Zapier and Automate Email Delivery with Ease
    • Publish Plugins
      • Publish Plugins Automatically
      • Publish to Dify Marketplace
        • Plugin Developer Guidelines
        • Plugin Privacy Protection Guidelines
      • Publish to Your Personal GitHub Repository
      • Package the Plugin File and Publish it
      • Signing Plugins for Third-Party Signature Verification
    • FAQ
  • Development
    • Backend
      • DifySandbox
        • Contribution Guide
    • Models Integration
      • Integrate Open Source Models from Hugging Face
      • Integrate Open Source Models from Replicate
      • Integrate Local Models Deployed by Xinference
      • Integrate Local Models Deployed by OpenLLM
      • Integrate Local Models Deployed by LocalAI
      • Integrate Local Models Deployed by Ollama
      • Integrate Models on LiteLLM Proxy
      • Integrating with GPUStack for Local Model Deployment
      • Integrating AWS Bedrock Models (DeepSeek)
    • Migration
      • Migrating Community Edition to v1.0.0
  • Learn More
    • Use Cases
      • DeepSeek & Dify Integration Guide: Building AI Applications with Multi-Turn Reasoning
      • Private Deployment of Ollama + DeepSeek + Dify: Build Your Own AI Assistant
      • Build a Notion AI Assistant
      • Create a MidJourney Prompt Bot with Dify
      • Create an AI Chatbot with Business Data in Minutes
      • Integrating Dify Chatbot into Your Wix Website
      • How to connect with AWS Bedrock Knowledge Base?
      • Building the Dify Scheduler
      • Building an AI Thesis Slack Bot on Dify
    • Extended Reading
      • What is LLMOps?
      • Retrieval-Augmented Generation (RAG)
        • Hybrid Search
        • Re-ranking
        • Retrieval Modes
      • How to Use JSON Schema Output in Dify?
    • FAQ
      • Self-Host
      • LLM Configuration and Usage
      • Plugins
  • Policies
    • Open Source License
    • User Agreement
      • Terms of Service
      • Privacy Policy
      • Get Compliance Report
  • Features
    • Workflow
Powered by GitBook
On this page
  • Call the OpenAI Moderation API
  • Keywords
  • Moderation Extension
  1. Guides
  2. Application Orchestration
  3. Application Toolkits

Moderation Tool

PreviousApplication ToolkitsNextWorkflow

Last updated 9 months ago

In our interactions with AI applications, we often have stringent requirements in terms of content security, user experience, and legal regulations. At this point, we need the "Sensitive Word Review" feature to create a better interactive environment for end-users. On the orchestration page, click "Add Feature" and locate the "Content Review" toolbox at the bottom:

Call the OpenAI Moderation API

Now you can also directly call the OpenAI Moderation API on Dify; you can review either input or output content simply by entering the corresponding "preset reply."

Keywords

Developers can customize the sensitive words they need to review, such as using "kill" as a keyword to perform an audit action when users input. The preset reply content should be "The content is violating usage policies." It can be anticipated that when a user inputs a text chuck containing "kill" at the terminal, it will trigger the sensitive word review tool and return the preset reply content.

Moderation Extension

Different enterprises often have their own mechanisms for sensitive word moderation. When developing their own AI applications, such as an internal knowledge base ChatBot, enterprises need to moderate the query content input by employees for sensitive words. For this purpose, developers can write an API extension based on their enterprise's internal sensitive word moderation mechanisms, which can then be called on Dify to achieve a high degree of customization and privacy protection for sensitive word review.

OpenAI, along with most companies providing LLMs, includes content moderation features in their models to ensure that outputs do not contain controversial content, such as violence, sexual content, and illegal activities. Additionally, OpenAI has made this content moderation capability available, which you can refer to .

OpenAI's Moderation
Content moderation
Configuring Load Balancing from Add Model
Configuring Load Balancing from Add Model
Moderation Extension