Multilingual Voice & Text Telegram Bot with ElevenLabs TTS and LangChain Agents

Description

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! 🚀. An n8n automation workflow template by IvanCore.

Community Metrics

Categories

• Automation
• AI

Tags

• n8n
• workflow
• http-request
• telegram
• ai-agent
• simple-memory
• google-gemini-chat-model
• groq-chat-model

Capabilities

• 6 nodes
• 220 views

Information