See llms.txt for all machine-readable content.

Back to Templates

Run a multi-tool Telegram AI assistant with Groq Llama 3.3

Created by

Created by: Utkarsh Kapoor || utkarsh-automates
Utkarsh Kapoor

Last update

Last update 17 hours ago

Categories

Share

Quick overview

This workflow turns a Telegram bot into a personal assistant powered by Groq (Llama 3.3 70B) and a LangChain agent with chat memory, using tools for web search, weather, news, Wikipedia lookups, calculations, date/time, jokes, and URL reading.

How it works

  1. Triggers when a new Telegram message is received by your bot.
  2. Sends the message text to a LangChain agent running on Groq’s chat model, using the Telegram chat ID to keep a rolling memory of the conversation.
  3. When needed, the agent calls external tools such as Tavily (web search), OpenWeatherMap (weather), NewsAPI (news), Wikipedia, JokeAPI, and a URL fetcher to gather or summarize information.
  4. For math and date/time questions, the agent runs built-in code tools to compute results or return the current date and time.
  5. Returns the agent’s final response to the same Telegram chat.

Setup

  1. Create a Telegram bot with @BotFather, add a Telegram API credential in n8n, and select it in both the Telegram Trigger and Telegram send-message step.
  2. Add a Groq credential in n8n and ensure the Groq chat model is selected in the workflow.
  3. Replace placeholders with your API keys: YOUR_TAVILY_API_KEY (Tavily), YOUR_OPENWEATHERMAP_API_KEY (OpenWeatherMap), and YOUR_NEWSAPI_KEY (NewsAPI).
  4. Activate the workflow and message your Telegram bot to test replies, tool usage, and multi-turn memory.