Block 1 - Telegram Trigger
- Type / Role
- n8n-nodes-base.telegramTrigger - telegramTrigger
- Config choices
- Version 1.2
This workflow is provided as-is. Please review and test before using in production.
What it's for: This is a base template for anyone trying to develop a telegram AI Agent. This base allows for multiple inputs (Voice, Picture, Video, and Text inputs) to be processed by an AI model...
n8n-nodes-base.telegramtrigger, n8n-nodes-base.switch, n8n-nodes-base.noop, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.openai, @n8n/n8n-nodes-langchain.memorybufferwindow, n8n-nodes-base.datetimetool, @n8n/n8n-nodes-langchain.lmchatanthropic
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Keith Uy.
Original n8n.io sourceThis is a base template for anyone trying to develop a telegram AI Agent. This base allows for multiple inputs (Voice, Picture, Video, and Text inputs) to be processed by an AI model of their choosing to a get a User started. From here, the User may connect any tools that they see fit to the AI Agent for their n8n workflows.
Input: Telegram message to a bot chat
n8n Processing: Switch node determines the type:
(Currently uses OpenAI and Gemini to analyze Voice/Photo/Video content but feel free to change these nodes with other models)
AI Agent Proccessing: LLM of your choosing examines message and based on system prompt, generates an output
Output: AI Output is sent back in telegram Message
Create your chat bot and generate access token -> Search Bot father in telegram -> Type "/newbot" -> follow instructions and create access token -> Copy access token
Create Credentials in n8n -> Open telegram trigger node -> Click create credential -> Paste access token -> Save
Create LLM access token (Different per LLM but search your LLM + API in google) -> (will have to create an account with the LLM platform) -> buy credits to use LLM API -> Generate Access token -> Paste token in LLM node
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
Showing the first 24 of 31 workflow blocks. Download the JSON for the full node graph.
| Workflow | Multimodal telegram bot with voice, image & video analysis using Claude & Gemini |
|---|---|
| Complexity | advanced |
| Nodes | 31 |
| Categories | AI Chatbot |
| Author | Keith Uy |
| Published | 27 Sept 2025 |
Use the JSON export at /data/workflows/9008/9008.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
What it's for: This is a base template for anyone trying to develop a telegram AI Agent. This base allows for multiple inputs (Voice, Picture, Video, and Text inputs) to be processed by an AI model...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your AI Chatbot use case.