๐ค Telegram Messaging Agent for Text/Audio/Images
39 nodes ยท telegram, webhook, httpRequest, lmChatOpenAi, openAi, convertToFile
- Engine
- n8n
- Nodes
- 39
- Trigger
- scheduled/triggered
- Source file
- 1182_Telegram_Webhook_Automation_Webhook.json
Workflow flow
Listen for Telegram Events
Webhook
Set Webhook Test URL
HTTP
Get Telegram Webhook Info
HTTP
gpt-4o-mini
@n8n/n8n-nodes-langchain.lmChatOpenAi
gpt-4o-mini1
@n8n/n8n-nodes-langchain.lmChatOpenAi
Test Webhook Status
Telegram
Production Webhook Status
Telegram
Set Webhook Production URL
HTTP
Telegram Token & Webhooks
Set
Get Webhook Status
Telegram
Validation
Set
Check User & Chat ID
IF
Message Router
Switch
Error message
Telegram
Image Schema
Set
Get Audio File
Telegram
Edit Fields
Set
Get Image
Telegram
Transcribe Recording
@n8n/n8n-nodes-langchain.openAi
Text Classifier
@n8n/n8n-nodes-langchain.textClassifier
Text Task Message
Telegram
Text Other Message
Telegram
Extract from File to Base64
ExtractFromFile
Text Classifier Audio
@n8n/n8n-nodes-langchain.textClassifier
Audio Task Message
Telegram
Audio Other Message
Telegram
Convert to Image File
ConvertToFile
Analyze Image
@n8n/n8n-nodes-langchain.openAi
Image Message
Telegram
29 steps ยท flows top to bottom, branches left to right
Browse by integration
Browse all integrations โImport into n8n
- Download the n8n JSON file (full or sanitized).
- In n8n: Workflows โ Import from file.
- Open each node and reconnect credentials to your accounts.
- Test with manual execution before enabling triggers.
Sanitized JSON removes credential IDs โ safer for sharing. Flow graph JSON is OpenRuna's lightweight format for diagrams and other tools, not n8n import.
Overview
๐ค Telegram Messaging Agent for Text/Audio/Images is a free n8n workflow on OpenRuna โ 39 nodes connecting telegram, webhook, httpRequest, lmChatOpenAi, openAi, convertToFile, extractFromFile, textClassifier. Download the JSON, view the flow diagram, and import it into your n8n instance.
What this workflow does
Built in n8n, "๐ค Telegram Messaging Agent for Text/Audio/Images" chains 39 nodes to move data between telegram, webhook, httpRequest, lmChatOpenAi, openAi, convertToFile, extractFromFile, textClassifier. 39 nodes ยท telegram, webhook, httpRequest, lmChatOpenAi, openAi, convertToFile It starts from a scheduled/triggered trigger and routes data through every node in order. OpenRuna shows the full flow diagram, an integration breakdown, and a one-click JSON export for n8n's "Import from file". Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.
Use cases
- Fork it to add error handling, retries, or a notification step without designing the 39-node flow from scratch.
- Benchmark it against your current telegram integration to spot missing steps or redundant nodes.
- Study how data moves from telegram to webhook before building your own variant.
- Share it with your team as a documented reference for scheduled/triggered automations in the telegram stack.
Example output
Imported into n8n, "๐ค Telegram Messaging Agent for Text/Audio/Images" exposes 39 configured nodes. Trigger type: scheduled/triggered. Integrations: telegram, webhook, httpRequest, lmChatOpenAi, openAi, convertToFile, extractFromFile, textClassifier. Set your credentials on the telegram node, then verify each downstream node picks them up. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.
Tips by platform
Claude
Ask Claude to turn the "๐ค Telegram Messaging Agent for Text/Audio/Images" JSON into a plain-English runbook, node by node. It can flag where telegram rate limits or missing retries might bite before you go live.
ChatGPT
Drop the workflow JSON or this OpenRuna page URL into ChatGPT and ask for a step-by-step runbook: triggers, branches, and which fields to customise for telegram, webhook, httpRequest, lmChatOpenAi, openAi, convertToFile, extractFromFile, textClassifier. Handy for onboarding teammates new to n8n.
Cursor
In Cursor, ask Agent mode to parameterise "๐ค Telegram Messaging Agent for Text/Audio/Images" โ extract telegram IDs and secrets into environment variables without changing the 39-node structure.
Frequently asked questions
- How do I import "๐ค Telegram Messaging Agent for Text/Audio/Images" into n8n?
- Click Download n8n JSON on this page, then in n8n choose Workflows โ Import from file and select the downloaded file. Reconnect credentials on each node โ the export carries credential IDs from the original author's instance, not working secrets.
- Which integrations does "๐ค Telegram Messaging Agent for Text/Audio/Images" use?
- It uses: telegram, webhook, httpRequest, lmChatOpenAi, openAi, convertToFile, extractFromFile, textClassifier. The flow diagram above shows how each service connects across the 39 nodes. Filter OpenRuna by integration to find related workflows and tools.
- Can I import a sanitized export without credentials?
- Yes. Use "Download sanitized JSON" to strip credential references before sharing internally. You will still add your own telegram and webhook credentials in n8n after import.
- What trigger type does "๐ค Telegram Messaging Agent for Text/Audio/Images" use?
- Trigger type: scheduled/triggered. After import, confirm the trigger node (webhook, schedule, or app event) matches your environment, then activate the workflow when you are ready to run it.
- Is "๐ค Telegram Messaging Agent for Text/Audio/Images" free to use?
- OpenRuna catalogs community n8n workflows under open licenses. Check the source corpus link for the original license; commercial use may require verifying the third-party API terms for telegram, webhook, httpRequest, lmChatOpenAi, openAi, convertToFile, extractFromFile, textClassifier.
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