Skip to main content

Chat with AI models via OpenRouter using Mistral

Workflow preview

Workflow preview
100%
Chat with AI models via OpenRouter using Mistral preview
Open on n8n.io

Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

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...

Best for

  • Engineering automation workflows
  • AI Chatbot automation workflows
  • beginner n8n builders looking for reusable templates

Tools used

n8n-nodes-base.manualtrigger, n8n-nodes-base.httprequest, n8n-nodes-base.set, n8n-nodes-base.summarize

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Sarfaraz Muhammad Sajib.

Original n8n.io source

1.1 Workflow description

Title
Chat with AI models via OpenRouter using Mistral
Workflow name
Chat with AI models via OpenRouter using Mistral

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:

  1. Manual Trigger – Starts the workflow when executed manually.
  2. Set Node – Defines:
    • Model: mistralai/mistral-small-3.2-24b-instruct:free
    • Message: What is the meaning of life?
  3. 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.
  4. 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

1.2 Logical Blocks

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.

2. Block-by-Block Analysis

Block 1 - When clicking ‘Execute workflow’

Type / Role
n8n-nodes-base.manualTrigger - manualTrigger
Config choices
Version 1

Block 2 - OpenRouter.ai

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 3 - Set Model & Prompt

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 4 - Summarize

Type / Role
n8n-nodes-base.summarize - summarize
Config choices
Version 1.1

3. Summary Table

Workflow Chat with AI models via OpenRouter using Mistral
Complexity beginner
Nodes 4
Categories Engineering, AI Chatbot
Author Sarfaraz Muhammad Sajib
Published 14 Jul 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/5998/5998.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

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.

Frequently asked questions

What does Chat with AI models via OpenRouter using Mistral do?

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...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

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 Engineering, AI Chatbot use case.