The flow
Starts it 1Model 5Logic 8Service 2
The steps in the order they run, from what starts it.
- 1Google Gemini Chat ModelLm Chat Google GeminiModel
- 2Recieve Telegram MessageTelegram triggerStarts it
- 3Store Conversation MemoryMemory Buffer WindowModel
- 4AI AgentAgentModel
- 5Check For Text or Voice MessageSetLogic
- 6Wipe Conversation MemoryMemory ManagerModel
- 7Code to remove unwanted characters from LLM responseCodeLogic
- 8If Voice MessageIfLogic
- 9Set prompt to start a new speechSetLogic
- 10Code to split output into chunks under 4000 charactersCodeLogic
- 11Download Audio FileTelegramService
- 12Route Flow Based on Message ContentSwitchLogic
- 13Respond to Telegram MessageTelegramService
- 14Transcribe Audio FileOpen AiModel
- 15Set prompt to generate a speech based on the feedbackSetLogic
- 16Set prompt to provide feedback on speechSetLogic
How it's built
- Starts on
- An incoming Telegram message
- Steps
- 16, with 2 branches
- Size
- Medium: a working afternoon
- Connects to
- Telegram
- Model
- Gemini, OpenAI
- Retrieval
- Answers are drawn from documents you supply, not from the model alone
Questions
What does it need to run?
An n8n account, plus your own Telegram account, and a key for Gemini and OpenAI. You connect your own accounts after importing it; none are included.
What starts it?
It starts on an incoming Telegram message.
Does it use AI?
Yes. It calls Gemini and OpenAI. Its answers draw on documents you give it, not on the model alone. Model calls are billed by the provider, not by n8n.
How long does it take to set up?
Plan an afternoon. 16 steps is enough that you should read each one before running it.
How do I import it?
Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts.
Before you run itNothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 16 steps before you point it at anything that matters.