Telegram chatbot with voice recognition and message batching using OpenAI
Needs changesWhat this workflow does
This AI workflow has 26 nodes and runs on Telegram events (message). Along the way it connects Telegram, OpenAI, Google Sheets and Embeddings OpenAI and 2 more.
How it runs
Trigger: On Telegram events (message).
- Link Filter (If): checks a condition and branches into true / false
- Get Audio File (Telegram): work with file
- Pass text message (Edit Fields (Set)): sets 3 fields: processedMessage, sessionId, name
- Transcribe a recording (OpenAI): transcribe (audio)
- Merge: merges the data from its input branches
- Transcript Result (Edit Fields (Set)): sets 3 fields: processedMessage, sessionId, name
- Transcript Error Output (Edit Fields (Set)): sets 2 fields: error, sessionId
- Edit Fields (Edit Fields (Set)): sets 2 fields: processedMessage, sessionId
- Append row in sheet (Google Sheets): append
- Get row(s) in sheet (Google Sheets): uses Google Sheets
…plus 11 more steps. See the full node list below.
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 (v1.7): 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 (v1.7) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (14)
- Edit Fields (Set)
n8n-nodes-base.set - If
n8n-nodes-base.if - Merge
n8n-nodes-base.merge - Telegram
n8n-nodes-base.telegram - OpenAI
@n8n/n8n-nodes-langchain.openAi - Google Sheets
n8n-nodes-base.googleSheets - Embeddings OpenAI
@n8n/n8n-nodes-langchain.embeddingsOpenAi - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - AI Agent
@n8n/n8n-nodes-langchain.agent - Wait
n8n-nodes-base.wait - Code
n8n-nodes-base.code - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Supabase Vector Store
@n8n/n8n-nodes-langchain.vectorStoreSupabase - Telegram Trigger
n8n-nodes-base.telegramTrigger
From the author
This Telegram workflow batches rapid-fire messages from the same user into one prompt (20–30s debounce), then sends a single AI reply. It uses two Google Sheets: - Message Retention (date | userid | message) — queues incoming messages. - Message Checkup…