Block 1 - OpenRouter Chat Model
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatOpenRouter - lmChatOpenRouter
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
AI Chef Bot is a smart virtual chef built with n8n and Telegram. Users can ask for any dish, and the bot: Generates a detailed recipe (ingredients + step by step instructions). Creates a photoreali...
@n8n/n8n-nodes-langchain.lmchatopenrouter, @n8n/n8n-nodes-langchain.memorybufferwindow, n8n-nodes-base.telegramtrigger, n8n-nodes-base.telegram, n8n-nodes-base.httprequest, n8n-nodes-base.set, n8n-nodes-base.converttofile, @n8n/n8n-nodes-langchain.agent
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Md Sabirul Islam.
Original n8n.io sourceAI Chef Bot is a smart virtual chef built with n8n and Telegram. Users can ask for any dish, and the bot:
Generates a detailed recipe (ingredients + step-by-step instructions).
Creates a photorealistic restaurant-style plated food image of the dish.
Sends both recipe text and food image back on Telegram.
π Live Demo Bot: http://t.me/botaichefrobotbot
Perfect for food lovers, restaurants, cooking groups, or anyone who wants an interactive AI-powered chef.
π Features
βοΈ Installation
The bot replies with: π A full recipe. πΈ A restaurant-plated realistic food image.
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.
| Workflow | Generate custom recipes and restaurant-style food images with Telegram bot |
|---|---|
| Complexity | intermediate |
| Nodes | 12 |
| Categories | Content Creation, AI Chatbot |
| Author | Md Sabirul Islam |
| Published | 03 Sept 2025 |
Use the JSON export at /data/workflows/8221/8221.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 Chef Bot is a smart virtual chef built with n8n and Telegram. Users can ask for any dish, and the bot: Generates a detailed recipe (ingredients + step by step instructions). Creates a photoreali...
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 Content Creation, AI Chatbot use case.