This n8n workflow automates real-time chat monitoring, analysis, and response via Telegram and OpenAI integration. It is triggered manually or scheduled, capturing chat messages, filtering recent ones within the last 2 hours, and processing them through an AI agent for summarization or insightful responses. The workflow utilizes various nodes to split incoming messages, retrieve chat history, and send summaries or responses back to the chat, making it ideal for managing dynamic interactions, customer support, or community moderation. Its modular design allows for flexible deployment in scenarios requiring continuous chat oversight and AI-based analytics.
Automated Chat Monitoring and Response Workflow
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatOpenRouter, @n8n/n8n-nodes-langchain.memoryMongoDbChat, @telepilotco/n8n-nodes-telepilot.telePilot, aggregate, filter, manualTrigger, scheduleTrigger, set, splitOut, stickyNote |
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