Conversational Telegram bot with GPT-5/GPT-4o for text and voice messages
Needs changesWhat this workflow does
This AI workflow has 11 nodes and runs on Telegram events (message, *). Along the way it connects Telegram, OpenAI Chat Model and OpenAI.
How it runs
Trigger: On Telegram events (message, *).
- Text Or Voice (Switch): routes items into 2 branches
- Typing Action (Telegram): send chat action
- Send Context To AI Agent (Edit Fields (Set)): sets 2 fields: message.text, sessionId
- Get Voice (Telegram): work with file
- AI Agent: runs an AI agent, with model: OpenAI Chat Model; memory: Simple Memory
- Transcribe The Voice (OpenAI): transcribe (audio)
- Send Response To Telegram (Telegram): uses Telegram
- Send Transcribe Context To AI Agent (Edit Fields (Set)): sets 2 fields: message.text, sessionId
Services it uses
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in AI Agent (v1.9): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) AI Agent (v1.9) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (8)
- Telegram Trigger
n8n-nodes-base.telegramTrigger - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Telegram
n8n-nodes-base.telegram - Switch
n8n-nodes-base.switch - OpenAI
@n8n/n8n-nodes-langchain.openAi - AI Agent
@n8n/n8n-nodes-langchain.agent - Edit Fields (Set)
n8n-nodes-base.set
From the author
This n8n workflow leverages a Telegram Message Trigger to activate an intelligent AI Agent capable of processing both text and voice messages. When a user sends a message in text or in voice format, the workflow captures and transcribes it (if necessary),…