Multilingual voice & text Telegram bot with ElevenLabs TTS and LangChain agents

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

This workflow contains community nodes that are only compatible with the self hosted version of n8n. Telegram Voice AI Assistant This n8n template creates a multimodal Telegram bot that dynamically...

Best for

Support Chatbot automation workflows
AI Chatbot automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.telegramtrigger, n8n-nodes-base.set, n8n-nodes-base.switch, n8n-nodes-base.telegram, @elevenlabs/n8n-nodes-elevenlabs.elevenlabs, n8n-nodes-base.aggregate, @n8n/n8n-nodes-langchain.lmchatgooglegemini, @n8n/n8n-nodes-langchain.lmchatgroq

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by IvanCore.

Original n8n.io source

1.1 Workflow description

Title: Multilingual voice & text Telegram bot with ElevenLabs TTS and LangChain agents
Workflow name: Multilingual voice & text Telegram bot with ElevenLabs TTS and LangChain agents

This workflow contains community nodes that are only compatible with the self-hosted version of n8n.

Telegram Voice AI Assistant

This n8n template creates a multimodal Telegram bot that dynamically responds to users:

Replies with voice when receiving voice messages (using ElevenLabs TTS)
Replies with text for text-based queries
Supports custom AI tools (e.g., crypto APIs, databases, or custom functions)

Built with LangChain Agents, it can integrate any external API or data source into conversations.

Key Features

🎙️ Smart Response Logic

Voice Query? → Voice Reply

Transcribes audio via ElevenLabs STT
Processes with AI (Groq/Gemini)
Converts text response to natural speech (ElevenLabs TTS)

Text Query? → Text Reply Bypasses TTS/STT for faster responses

🛠️ Extensible AI Tools Add your own tools:

Database lookups
Weather/stock APIs
Custom Python functions
RAG (document retrieval)

Supports multi-step tool chaining (e.g., "Get BTC price → analyze trends → summarize")

🌐 Language & Context

Auto-detects user language (via Telegram’s language_code)
Maintains session memory (remembers conversation history)

Use Cases

Voice-first customer support
Crypto/analytics assistants (e.g., "What’s Ethereum’s current gas fee?")
Multilingual FAQ bots
Educational tutors (voice-interactive learning)

Requirements

Telegram Bot Token
ElevenLabs API Key (For TTS/STT)
Groq API Key or Google Gemini API Key

Customization Tips

Change AI personality: Modify the systemMessage in the Voice Assistant node
Add more models: Swap Groq/Gemini for OpenAI, Anthropic, etc.
Extend functionality: Add RAG (Retrieval-Augmented Generation) for document queries

Take this template to create a Siri-like AI assistant for Telegram in minutes! 🚀

1.2 Logical Blocks

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.

2. Block-by-Block Analysis

Block 1 - Telegram Input

Type / Role: n8n-nodes-base.telegramTrigger - telegramTrigger
Config choices: Version 1.1

Block 2 - Adds SessionId

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 3 - Switch

Type / Role: n8n-nodes-base.switch - switch
Config choices: Version 3.2

Block 4 - Get Voice File

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.1

Block 5 - Transcribe ElevenLabs

Type / Role: @elevenlabs/n8n-nodes-elevenlabs.elevenLabs - elevenLabs
Config choices: Version 1

Block 6 - Edit Fields

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 7 - Aggregate

Type / Role: n8n-nodes-base.aggregate - aggregate
Config choices: Version 1

Block 8 - Google Gemini Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices: Version 1

Block 9 - Groq Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatGroq - lmChatGroq
Config choices: Version 1

Block 10 - Voice Assistant

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.7

Block 11 - If voice

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.2

Block 12 - ElevenLabs

Type / Role: @elevenlabs/n8n-nodes-elevenlabs.elevenLabs - elevenLabs
Config choices: Version 1

Block 13 - Telegram Send Message

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1

Block 14 - Telegram send voice message

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 15 - Voice Assistant Memory

Type / Role: @n8n/n8n-nodes-langchain.memoryBufferWindow - memoryBufferWindow
Config choices: Version 1.3

Block 16 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 17 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 18 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

3. Summary Table

Workflow	Multilingual voice & text Telegram bot with ElevenLabs TTS and LangChain agents
Complexity	advanced
Nodes	18
Categories	Support Chatbot, AI Chatbot
Author	IvanCore
Published	01 Jul 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/5511/5511.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

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.

Download workflow JSON Original n8n.io source Support Chatbot workflows AI Chatbot workflows

Frequently asked questions

What does Multilingual voice & text Telegram bot with ElevenLabs TTS and LangChain agents do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

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 Support Chatbot, AI Chatbot use case.

IvanCore

2 workflows

Nodes

n8n-nodes-base.telegramtrigger n8n-nodes-base.set n8n-nodes-base.switch n8n-nodes-base.telegram @elevenlabs/n8n-nodes-elevenlabs.elevenlabs n8n-nodes-base.aggregate @n8n/n8n-nodes-langchain.lmchatgooglegemini @n8n/n8n-nodes-langchain.lmchatgroq

Complexity

advanced

Published 01 Jul 2025

Likes 0

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Install path: /data/workflows/5511/5511.json

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Multilingual voice & text Telegram bot with ElevenLabs TTS and LangChain agents

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Telegram Voice AI Assistant

Key Features

Use Cases

Requirements

Customization Tips

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Telegram Input

Block 2 - Adds SessionId

Block 3 - Switch

Block 4 - Get Voice File

Block 5 - Transcribe ElevenLabs

Block 6 - Edit Fields

Block 7 - Aggregate

Block 8 - Google Gemini Chat Model

Block 9 - Groq Chat Model

Block 10 - Voice Assistant

Block 11 - If voice

Block 12 - ElevenLabs

Block 13 - Telegram Send Message

Block 14 - Telegram send voice message

Block 15 - Voice Assistant Memory

Block 16 - Sticky Note

Block 17 - Sticky Note1

Block 18 - Sticky Note2

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions