Proxmox AI Agent Template
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Automate Proxmox tasks using an AI agent powered by Google Gemini.
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About This Workflow
Overview
This workflow demonstrates how to create a Proxmox custom AI agent. It leverages the Google Gemini Chat Model to understand user requests and the Proxmox API to interact with your Proxmox environment. The workflow includes structured output parsing to ensure API calls are correctly formatted and includes documentation for the Proxmox API for AI understanding.
Key Features
- Integrates with Google Gemini for AI-powered task understanding.
- Utilizes structured output parsing for reliable API request generation.
- Includes Proxmox API documentation for AI context.
- Supports various triggers like Telegram, Gmail, or chat messages.
How To Use
- Set up Proxmox API Key: Create an API key in your Proxmox Data Center.
- Configure n8n Credentials: In n8n, add a new credential of type
HTTP Header Authand provide your Proxmox API token in theAuthorizationheader format:PVEAPIToken=<user>@<realm>!<token-id>=<token-value>. - Configure Google Gemini Credentials: Add your Google Gemini API key to n8n.
- Set Environment Variables: Ensure
$env.BASE_URLand$env.API_BASE_URLare set correctly in your n8n environment. - Choose a Trigger: Select and configure a trigger node (e.g., Telegram, Gmail, or a generic chat trigger).
- Connect Nodes: Connect the trigger to the AI model and parser nodes as shown in the workflow.
- Test the Workflow: Send a request through your chosen trigger and observe the AI agent's response and Proxmox API interactions.
Apps Used
Workflow JSON
{
"id": "31622f46-87ed-45f5-afd7-8bf1fc1ca2dd",
"name": "Proxmox AI Agent Template",
"nodes": 0,
"category": "AI / Machine Learning",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 31622f46-87ed...
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