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Telegram AI multi-format chatbot

Configured with Agent, OpenAI Chat Model, Memory Buffer Window, Open Ai, and additional nodes. Review the connections and setup before adapting this template.

Workflow preview
AI & modelsOpenAI Chat ModelOpenAI Chat ModelData storeWindow Buffer MemoryMemory Buffer WindowMessagingCorrect errorsTelegramTriggerListen for incomingeventsTelegram TriggerMessagingDownload voice fileTelegramTransformCombine content and setpropertiesEdit FieldsMessagingSend final replyTelegramMessagingSend error messageTelegramAI & modelsConvert audio to textOpen AiMessagingSend Typing actionTelegramAI & modelsAI AgentAgentRoutingDetermine content typeSwitch

Node categories in this workflow

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

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
Window Buffer MemoryData storeMemory Buffer WindowSee node parameters
Correct errorsMessagingTelegramSee node parameters
Listen for incoming eventsTriggerTelegram TriggerSee node parameters
Download voice fileMessagingTelegramfile
Combine content and set propertiesTransformEdit FieldsSee node parameters
Send final replyMessagingTelegramSee node parameters
Send error messageMessagingTelegramSee node parameters
Convert audio to textAI & modelsOpen Aiaudio / transcribe
Send Typing actionMessagingTelegramsendChatAction
AI AgentAI & modelsAgentSee node parameters
Determine content typeRoutingSwitchSee 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

  • openAiApi
  • telegramApi

Workflow notes

Telegram AI multi-format chatbot

Telegram AI multi-format chatbot

Purpose and structure

This folder contains the Telegram AI multi-format chatbot workflow. Its executable nodes use agent, lmChatOpenAi, memoryBufferWindow, openAi, 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

Listen for incoming events

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/1686_Telegram_Stickynote_Automate_Triggered.json MIT; preserve source notices.

Canvas section labels

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

  • Receive and pre-process messages
  • 1. Send incoming message to the AI Agent
  • Transcribe audio

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