Developer & DevOps

Telegram automation

43 nodes 204 115 Automatic trigger
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Workflow Description

Advanced automation template connecting Telegram with OpenAI models to build an intelligent bot that processes messages automatically, analyzes content using language chains, and returns structured responses through data parsing and output formatting.

How it works

  1. 1.Receive messages from Telegram via trigger and identify request type
  2. 2.Process text and files using OpenAI LLM chains with automatic error correction
  3. 3.Send formatted responses back to users through Telegram directly

Use cases

  • Build a smart assistant that automatically responds to user inquiries on Telegram
  • Process and analyze files and data sent by users using AI models
  • Automate DevOps workflows requiring intelligent interaction with team members

Requirements

  • OpenAI API key to access GPT models
  • Telegram bot token with full access permissions
  • Knowledge of JSON structure and formatted data handling

Service Value

Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.

Apps Used

OpenAI Output Parser Telegram LLM Chain

Details

Trigger Automatic trigger
Nodes 43
Apps 4
Views 204
Downloads 115

How to Use

  1. 1.Click "Download Template"
  2. 2.Open your n8n dashboard
  3. 3.Go to Workflows > Import from File
  4. 4.Select downloaded file and configure credentials

Nodes Used (43)

/

OpenAI Chat Model

OpenAI

#1

Convert education to HTML

Code

#2

Auto-fixing Output Parser

Output Parser Autofixing

#3

OpenAI Chat Model1

OpenAI

#4

Structured Output Parser

Output Parser Structured

#5

Convert employment history to HTML

Code

#6

Convert projects to HTML

Code

#7

Convert volunteering to HTML

Code

#8

Telegram trigger

Set

#9

Auth

If

#10

No operation (unauthorized)

No Op

#11

Check if start message

If

#12

No operation (start message)

No Op

#13

Get file

Set

#14

Extract text from PDF

Extract From File

#15

Set parsed fileds

Set

#16

Personal info

Set

#17

Technologies

Set

#18

Employment history

Set

#19

Education

Set

#20

Projects

Set

#21

Volunteering

Set

#22

Merge education and employment history

Merge

#23

Merge projects and volunteering

Merge

#24

Merge personal info and technologies

Merge

#25

Merge all

Merge

#26

Set final data

Set

#27

Convert raw to base64

Code

#28

Convert to HTML

Convert To File

#29

Generate plain PDF doc

HTTP Request

#30

Send PDF to the user

Set

#31

Sticky Note

Sticky Note

#32

Sticky Note1

Sticky Note

#33

Sticky Note2

Sticky Note

#34

Sticky Note4

Sticky Note

#35

Sticky Note5

Sticky Note

#36

Parse resume data

LLM Chain

#37

Merge other data

Merge

#38

Sticky Note6

Sticky Note

#39

Sticky Note7

Sticky Note

#40

Sticky Note8

Sticky Note

#41

Sticky Note9

Sticky Note

#42

Sticky Note10

Sticky Note

#43

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