# Telegram chat summarizer with OpenRouter: n8n workflow template

> Started by someone opening a chat with it. It calls services over plain HTTP rather than through connectors.

Source: https://millionrounds.com/workflow/telegram-chat-summarizer-with-openrouter (Millionrounds; every figure on the page links to its filing or article)

[Automation library](https://millionrounds.com/workflows) · [Research and reporting](https://millionrounds.com/workflows?category=Research+and+reporting#library)

# Telegram chat summarizer with OpenRouter

Started by someone opening a chat with it. It calls services over plain HTTP rather than through connectors. It puts OpenRouter behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 16 steps: a working afternoon to understand properly.

Medium Calls a model: OpenRouter Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Ftelegram-chat-summarizer-with-openrouter)

**16 steps** Medium: a working afternoon

**0** Branches: places the flow splits

**0** Loops or waits

**0** Services by connector: it calls them over plain HTTP

## The flow

Starts it 3 Model 3 Logic 5 Service 5

The steps in the order they run, from what starts it.

- 1 **When clicking ‘Execute workflow’** Manual trigger *Starts it*
- 2 **OpenRouter Chat Model** Lm Chat Open Router *Model*
- 3 **MongoDB Chat Memory** Memory Mongo Db Chat *Model*
- 4 **Schedule Trigger** Schedule trigger *Starts it*
- 5 **When chat message received** Chat trigger *Starts it*
- 6 **Try this for check Login** Tele Pilot *Service*
- 7 **Get Chat Id By Name** Tele Pilot *Service*
- 8 **AI Agent** Agent *Model*
- 9 **Telegram Login** Tele Pilot *Service*
- 10 **Last Messages History** Tele Pilot *Service*
- 11 **Send Summary To Chat** Tele Pilot *Service*
- 12 **Split Out** Split Out *Logic*
- 13 **Get message text** Set *Logic*
- 14 **Filter Last 2 hours** Filter *Logic*
- 15 **Skip Empty Message** Filter *Logic*
- 16 **Aggregate** Aggregate *Logic*

## How it's built

- **Starts on:** Someone opening a chat with it
- **Steps:** 16
- **Size:** Medium: a working afternoon
- **Connects to:** Nothing by connector; it calls services over plain HTTP
- **Model:** OpenRouter
- **Retrieval:** Answers are drawn from documents you supply, not from the model alone

## Questions

What does it need to run?

An n8n account, and a key for OpenRouter. You connect your own accounts after importing it; none are included.

What starts it?

It starts on someone opening a chat with it.

Does it use AI?

Yes. It calls OpenRouter. Its answers draw on documents you give it, not on the model alone. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Plan an afternoon. 16 steps is enough that you should read each one before running it.

How do I import it?

Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts.

**Before you run it**

Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 16 steps before you point it at anything that matters.

## Run it in n8n

- **Create your n8n account** Free to start. n8n is where the workflow runs. [Create an n8n account ↗](https://millionrounds.com/n8n)
- **Download the workflow** Free with a Millionrounds account. [Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Ftelegram-chat-summarizer-with-openrouter)
- **Paste it into n8n** Open a new workflow in n8n and paste. Then connect your own accounts.

Stored with the author's traces removed: canvas notes, instance identifiers, saved credential names and any live document they had left behind.

## Workflows like it

Also research and reporting, with the same services where possible, closest in size first.

- [**AI Contract Report: Plain English Translation + Risk Score Email** 16 steps · calls a model · Gmail](https://millionrounds.com/workflow/ai-contract-report-plain-english-translation-risk-score-emai)
- [**AI news digest: Summarize top stories with DALL-E** 16 steps · calls a model · Telegram](https://millionrounds.com/workflow/ai-news-digest-summarize-top-stories-with-dall-e)
- [**Amazon price drop analysis with Decodo and OpenAI** 16 steps · calls a model · Google Sheets](https://millionrounds.com/workflow/amazon-price-drop-analysis-with-decodo-and-openai)
- [**Analyze customer feedback with Azure GPT-4 and Jira** 16 steps · calls a model · Gmail, Google Sheets](https://millionrounds.com/workflow/analyze-customer-feedback-with-azure-gpt-4-and-jira)
- [**Analyze incoming letters with Google Drive and OpenAI** 16 steps · calls a model · Google Drive, Google Sheets](https://millionrounds.com/workflow/analysiere-eingehende-briefe-mit-google-drive-openai)
- [**Audience problem keyword research workflow with OpenAI** 16 steps · calls a model · Google Sheets](https://millionrounds.com/workflow/audience-problem-keyword-research-workflow-with-openai)