This n8n workflow creates an advanced Telegram messaging agent capable of handling various media types and automating responses. It starts by setting up and verifying webhooks for a Telegram bot, ensuring it can receive messages and media updates automatically. When a user sends a message, the workflow validates the user’s identity and distinguishes message types such as text, audio, or images. Depending on the media type, it transcribes audio messages using OpenAI’s language models, analyzes images, and classifies texts to determine whether they relate to tasks or general conversations. The workflow also automates replies based on message content, providing a seamless interaction experience. Use cases include customer support bots, multimedia content processing, or any scenario requiring automated parsing and responses to user messages on Telegram, all integrated smoothly with WordPress or other backend systems.
Automated Telegram Bot with Multimedia Processing
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.openAi, @n8n/n8n-nodes-langchain.textClassifier, convertToFile, extractFromFile, httpRequest, if, set, stickyNote, switch, telegram, webhook |
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