💬 Multilingual voice & text Telegram bot with ElevenLabs TTS and LangChain agents
⚡ 3,482 views · 💬 Support Chatbots
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:
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Replies with voice when receiving voice messages (using ElevenLabs TTS)
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Replies with text for text-based queries
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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! 🚀
🔗 Nodes Used
HTTP Request, Telegram, Telegram Trigger, AI Agent, Simple Memory, Google Gemini Chat Model
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File