Block 1 - π© Receive Telegram Message
- Type / Role
- n8n-nodes-base.telegramTrigger - telegramTrigger
- Config choices
- Version 1.2
This workflow is provided as-is. Please review and test before using in production.
AI Multi Model Telegram Chatbot (n8n + AIMLAPI) This n8n workflow enables Telegram users to interact with multiple AI models dynamically using model id commands . It also supports a /models comm...
n8n-nodes-base.telegramtrigger, n8n-nodes-base.googlesheets, n8n-nodes-base.aggregate, n8n-nodes-base.set, n8n-nodes-base.if, n8n-nodes-base.telegram, n8n-nodes-base.stickynote, n8n-nodes-base.httprequest
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by AI/ML API | D1m7asis.
Original n8n.io sourceThis n8n workflow enables Telegram users to interact with multiple AI models dynamically using #model_id commands. It also supports a /models command to list all available models. Each user has a daily usage limit, tracked via Google Sheets.
#model_id (e.g., #openai/gpt-4o)./newbot β Set name & username.user_id | date | query | result
Set Daily Limit node.#openai/gpt-4o Write a motivational quote.
/models
Receives a Telegram message.
Switch node checks if the message is /models or a prompt.
For /models, it fetches and sends a grouped list of models.
For prompts:
#model_id and prompt text.If daily limit exceeded β sends a limit exceeded message.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
Showing the first 24 of 25 workflow blocks. Download the JSON for the full node graph.
| Workflow | Create a multi-model AI chatbot with Telegram, AIMLAPI, and Google Sheets |
|---|---|
| Complexity | advanced |
| Nodes | 25 |
| Categories | Personal Productivity, AI Chatbot |
| Author | AI/ML API | D1m7asis |
| Published | 06 Aug 2025 |
Use the JSON export at /data/workflows/7045/7045.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
AI Multi Model Telegram Chatbot (n8n + AIMLAPI) This n8n workflow enables Telegram users to interact with multiple AI models dynamically using model id commands . It also supports a /models comm...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Personal Productivity, AI Chatbot use case.