Automate Live Stream Chat Moderation with AI
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Effortlessly moderate your live stream chats with this AI-powered n8n workflow. It leverages advanced language models to understand and respond to chat messages, ensuring a positive and engaging environment for your viewers.
About This Workflow
The Live Stream Chat Moderator workflow automates the process of managing your live stream's chat. It begins by receiving chat messages via a webhook, then splits and embeds this text for AI processing. Using Supabase as a vector store, it retrieves relevant context and leverages Anthropic's language model via Langchain to understand and act upon messages. The workflow includes memory to maintain conversational context and an agent to orchestrate the moderation process. Finally, all moderation actions and logs are appended to a Google Sheet for review and historical tracking. This robust setup ensures your live stream remains a safe and interactive space without manual intervention.
Key Features
- Real-time Chat Ingestion: Seamlessly capture live chat messages through a webhook.
- Intelligent Content Analysis: Utilizes AI to understand the sentiment and context of chat messages.
- Automated Moderation Actions: Empowers an AI agent to handle moderation tasks based on predefined rules and learned patterns.
- Contextual Memory: Maintains conversation history to provide more relevant and nuanced moderation.
- Logging and Archiving: Automatically logs all moderation activities to a Google Sheet for review.
How To Use
- Webhook Setup: Configure the
Webhooknode to receive incoming chat messages from your live streaming platform. - Text Processing: The
Splitternode breaks down messages into manageable chunks, andEmbeddings(using OpenAI) converts them into numerical representations. - Knowledge Base Integration: The
Insertnode stores these embeddings in a Supabase vector store (indexed as 'live_stream_chat_moderator') for efficient retrieval. - Contextual Retrieval: The
Querynode retrieves relevant information from the Supabase vector store based on incoming messages. - AI Moderation Core: The
Toolnode uses the retrieved information,Memorystores conversation history, andChat(Anthropic) processes the input for intelligent responses and moderation decisions. - Agent Orchestration: The
Agentnode orchestrates the entire moderation process, deciding on actions. - Logging: The
Sheetnode appends all moderation actions and relevant chat data to a specified Google Sheet (SHEET_ID, Log tab) for auditing and analysis.
Apps Used
Workflow JSON
{
"id": "bb26d847-9336-43e6-9703-171e5c49f00e",
"name": "Automate Live Stream Chat Moderation with AI",
"nodes": 19,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: bb26d847-9336...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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