Multilingual Voice & Text Telegram Bot with ElevenLabs API 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 API) - **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** 1. Transcribes audio via ElevenLabs API 2. Processes with AI (Groq/Gemini) 3. Converts text response to natural speech (ElevenLabs API) - **Text Query? → Text Reply** Bypasses API/API 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 S2S) - **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!
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 API)
-
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 API
- Processes with AI (Groq/Gemini)
- Converts text response to natural speech (ElevenLabs API)
-
Text Query? → Text Reply Bypasses API/API 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 S2S)
- 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!
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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