⚒️ Chat with AI models via OpenRouter using Mistral
⚡ 973 views · ⚒️ Engineering
Description
This n8n workflow demonstrates how to build an automated AI chat system using OpenRouter.ai. It includes a manual trigger, sets a model and user message, sends a POST request to the OpenRouter chat API, and summarizes the response.
Workflow Steps:
- Manual Trigger – Starts the workflow when executed manually.
- Set Node – Defines:
- Model: mistralai/mistral-small-3.2-24b-instruct:free
- Message: What is the meaning of life?
- HTTP Request – Sends a POST request to https://openrouter.ai/api/v1/chat/completions using Bearer Token Authentication with the model and message as JSON.
- Summarize – Extracts and summarizes the AI’s response (choices[0].message.content).
Use Cases:
- AI chatbot automation
- Content summarization
- Testing AI prompts in real-time
- Educational demos using OpenRouter.ai
- Lightweight conversational tools with no external server
🔗 Nodes Used
HTTP Request, Summarize
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File