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Telegram ChatBot with multiple sessions

Configured with Agent, Chain LLM, Chain Summarization, Google Sheets, and additional nodes. Review the connections and setup before adapting this template.

Download workflow JSONView files on GitHub ↗31 nodes · MIT
Workflow preview
AI & modelsOpenAI Chat ModelOpenAI Chat ModelData storeSimple MemoryMemory Buffer WindowTriggerGet messageTelegram TriggerRoutingCommand or text?SwitchData storeGet sessionGoogle SheetsData storeDisable previoussessionGoogle SheetsData storeSet new sessionGoogle SheetsMessagingSession activatedTelegramMessagingSend responseTelegramData storeUpdate databaseGoogle SheetsAI & modelsSummarization ChainChain SummarizationAI & modelsOpenAI Chat Model1OpenAI Chat ModelAI & modelsOpenAI Chat Model2OpenAI Chat ModelAI & modelsBasic LLM ChainChain LLMTransformGet message1Edit FieldsData storeSet to expireGoogle SheetsRoutingExist?IfMessagingOKTelegramMessagingKOTelegramCodeTrim resumeCodeData storeGet session1Google SheetsCodePrompt + ResumeCodeMessagingSend summaryTelegramTransformGet message2Edit FieldsCodeTrim questionCodeData storeSet new current sessionGoogle SheetsData storeResponse + TextGoogle SheetsCodefullTextCodeMessagingSend answerTelegramMessagingSend current sessionTelegramAI & modelsTelegram ChatbotAgent

Node categories in this workflow

  • AI & models
  • Data store
  • Trigger
  • Routing
  • Messaging
  • Transform
  • Code

Icons describe general node roles, inferred from node types. Inspect the parameters for the configured action.

Drag to pan; use + and − to zoom. Reconstructed from the exported node positions; nothing runs here. Dashed lines represent non-main connections. Full node names and notes appear below.

How it works

The exported workflow contains the following configured nodes. Their connections are shown above; inspect the JSON for the complete logic, expressions, and external actions.

Workflow node names, types, and operations
NodeCategoryTypeOperation
OpenAI Chat ModelAI & modelsOpenAI Chat ModelSee node parameters
Simple MemoryData storeMemory Buffer WindowSee node parameters
Get messageTriggerTelegram TriggerSee node parameters
Command or text?RoutingSwitchSee node parameters
Get sessionData storeGoogle SheetsSee node parameters
Disable previous sessionData storeGoogle Sheetsupdate
Set new sessionData storeGoogle Sheetsappend
Session activatedMessagingTelegramSee node parameters
Send responseMessagingTelegramSee node parameters
Update databaseData storeGoogle Sheetsappend
Summarization ChainAI & modelsChain SummarizationSee node parameters
OpenAI Chat Model1AI & modelsOpenAI Chat ModelSee node parameters
OpenAI Chat Model2AI & modelsOpenAI Chat ModelSee node parameters
Basic LLM ChainAI & modelsChain LLMSee node parameters
Get message1TransformEdit FieldsSee node parameters
Set to expireData storeGoogle Sheetsupdate
Exist?RoutingIfSee node parameters
OKMessagingTelegramSee node parameters
KOMessagingTelegramSee node parameters
Trim resumeCodeCodeSee node parameters
Get session1Data storeGoogle SheetsSee node parameters
Prompt + ResumeCodeCodeSee node parameters
Send summaryMessagingTelegramSee node parameters
Get message2TransformEdit FieldsSee node parameters
Trim questionCodeCodeSee node parameters
Set new current sessionData storeGoogle Sheetsupdate
Response + TextData storeGoogle SheetsSee node parameters
fullTextCodeCodeSee node parameters
Send answerMessagingTelegramSee node parameters
Send current sessionMessagingTelegramSee node parameters
Telegram ChatbotAI & modelsAgentSee node parameters

Setup

  1. Download the JSON and import it into an isolated n8n instance. Leave the workflow inactive.
  2. Connect your own credentials through n8n’s credential store. Replace REPLACE_WITH_* values with your resource identifiers.
  3. Inspect API destinations, Code nodes, database queries, file paths, and outbound actions.
  4. Run with synthetic data and harmless destinations. Enable triggers only after checking the actual outputs.

Requirements

An n8n instance with the listed node types and compatible versions. Service-connected workflows may require accounts, credentials, or paid APIs.

Credential types declared in the source

  • googleSheetsOAuth2Api
  • openAiApi
  • telegramApi

Workflow notes

Telegram ChatBot with multiple sessions

Telegram ChatBot with multiple sessions

This workflow creates an AI-powered Telegram chatbot with session management, allowing users to:

  • Start new conversations (/new).

  • Check current sessions (/current).

  • Resume past sessions (/resume).

  • Get summaries (/summary).

  • Ask questions (/question).

  • Clone this sheet

Telegram ChatBot with multiple sessions

Telegram ChatBot with multiple sessions

Purpose and structure

This folder contains the Telegram ChatBot with multiple sessions workflow. Its executable nodes use agent, chainLlm, chainSummarization, code, googleSheets, if, lmChatOpenAi, memoryBufferWindow, set, switch, telegram, telegramTrigger. The table and connection map below are derived from the JSON, not an inferred guarantee of behavior.

Setup

Import inactive. Configure your own credentials and replace REPLACE_WITH_* values. Review external destinations and Code nodes before running.

Entry points

Get message

Verification

Sanitized source candidate; not runtime-tested. This overview is generated from node metadata. Read the folder README for the connection map, credential types, and license.

Attribution

https://github.com/Zie619/n8n-workflows/blob/94007c1445d9258a7da116646b79473e7c7c3282/workflows/Telegram/1244_Telegram_GoogleSheets_Automate_Triggered.json MIT; preserve source notices.

Canvas section labels

These name areas of the original canvas; they do not include explanatory instructions.

  • NEW SESSION
  • GET CURRENT SESSION
  • RESUME SESSION
  • GET SUMMARY
  • SEND QUESTION
  • CHATBOT

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