🤖 Telegram Messaging Agent for Text/Audio/Images

n8n template #2751

Summary

🤖 This n8n workflow creates an intelligent Telegram bot that processes multiple types of messages and provides automated responses using AI capabilities. The bot serves as a personal assistant that can handle text, voice messages, and images through a sophisticated processing pipeline. Core Components Message Reception and Validation 📥 🔄 Implements webhook-based message reception for real-time processing 🔐 Features a robust user validation system that verifies sender credentials 🔀 Supports both testing and production webhook endpoints for development flexibility Message Processing Pipeline ⚡ 🔄 Uses a smart router to detect and categorize incoming message types 📝 Processes three main m

How to set it up

Open template #2751 on n8n.io and click Use for free, or copy the template JSON and paste it onto an empty canvas in n8n.
Create 3 credentials under Credentials → Add credential: Telegram, OpenAI Chat Model, OpenAI. Then open each of those nodes and pick the credential.
Check the model in the OpenAI Chat Model node. The template may point at a model your account can't use; swap it for one you have access to.
Click Execute workflow and step through each node's output to confirm the data looks right.
Toggle the workflow to Active so its trigger runs on its own.

Hand off to your agent

Prompt

Help me set up the n8n workflow "🤖 Telegram Messaging Agent for Text/Audio/Images" (https://n8n.io/workflows/2751). It uses: HTTP Request, Telegram, OpenAI Chat Model, OpenAI, Text Classifier. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.

Paste into Claude Code and it will do the rest.

Apps and nodes

HTTP Request Telegram OpenAI Chat Model OpenAI Text Classifier

Questions

Yes. Joseph LePage published it free on n8n.io as a verified creator, and it has 46K views. It runs on n8n Cloud or a self-hosted n8n instance.

Telegram, OpenAI Chat Model, OpenAI. The other 2 nodes are built into n8n.

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