AI Agents
Connect OpenAI with Telegram
14 nodes
248
135
Scheduled trigger
Workflow Description
A scheduled automation that receives messages via Telegram and processes them using OpenAI language models, splitting long texts and generating summaries, then delivering intelligent responses directly back to the chat.
How it works
- 1.Execute automation according to a defined schedule
- 2.Receive messages and data from the Telegram application
- 3.Process content through LLM chain and split lengthy texts
- 4.Summarize the content using an advanced OpenAI model
- 5.Send the final result and summary to the Telegram channel
Use cases
- Intelligent chatbot that summarizes long articles and documents shared via Telegram
- Real-time message processing system that responds to queries using artificial intelligence
- Service for analyzing large texts, segmenting them, and converting them into concise summaries
Requirements
- Active OpenAI API key to access advanced language models
- Telegram account and bot token for sending and receiving messages
- Appropriate scheduling configuration for automation repetition
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
OpenAI
LLM Chain
Text Splitter
Telegram
Details
Trigger
Scheduled trigger
Nodes
14
Apps
4
Views
248
Downloads
135
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (14)
/
OpenAI Chat Model
OpenAI
Schedule Trigger
Schedule Trigger
OpenAI Chat Model2
OpenAI
Sticky Note
Sticky Note
Create a Prompt for DALL-E
Chain Summarization
Sticky Note1
Sticky Note
Recursive Character Text Splitter
Text Splitter Recursive Character Text Splitter
Create a story
Chain Summarization
Generate Audio for the story
OpenAI
Generate a Picture for the story
OpenAI
Send Story Text
Set
Send Audio for the story
Set
Send Story Picture
Set
Config
Set