Automate Proxmox VM Management with AI-Powered Workflows
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Seamlessly manage your Proxmox Virtual Environment using intelligent, AI-driven workflows. This n8n setup leverages Google Gemini and Proxmox API documentation to automate VM creation and configuration.
About This Workflow
This n8n workflow revolutionizes Proxmox VM management by integrating the power of AI. It connects to Proxmox through its API, intelligently using available documentation and cluster status to understand your environment. Leveraging Google Gemini, the workflow can interpret natural language requests and translate them into precise Proxmox API calls. The use of structured output parsers ensures that the generated API commands are accurate and ready for execution, making complex VM operations as simple as a chat message. This streamlines DevOps tasks, reduces manual errors, and accelerates your Proxmox infrastructure deployment.
Key Features
- Intelligent VM Provisioning: Create and configure Proxmox VMs using natural language inputs.
- AI-Powered API Interaction: Leverages Google Gemini to understand context and generate API calls.
- Proxmox API Integration: Directly interacts with your Proxmox API for real-time management.
- Structured Output: Ensures accurate and executable API commands through output parsing.
- Flexible Triggering: Integrates with various triggers like chat or Telegram for conversational control.
How To Use
- Set up Proxmox API Credentials: Create an API key in your Proxmox Data Center. In n8n, create a new HTTP Header Authentication credential, using the format
PVEAPIToken=<user>@<realm>!<token-id>=<token-value>for the Authorization header value. - Configure AI Model: Connect your Google Gemini account (or another supported AI model) by adding the 'Google Gemini Chat Model' node and selecting your desired model and API key.
- Integrate Proxmox Tools: Add the 'Proxmox API Documentation' and 'Proxmox' nodes. Ensure the 'Proxmox' node's
toolDescriptioncorrectly points to your Proxmox API endpoints and node names. - Define Output Structure: Utilize the 'Structured Output Parser' node, providing a
jsonSchemaExamplethat defines the expected output format for Proxmox API calls (e.g.,response_type,url,details). - Connect Trigger: Select a trigger node (e.g., 'When chat message received' or 'Telegram Trigger') to initiate the workflow.
- Chain Nodes: Connect the nodes sequentially, ensuring the output of one node feeds correctly into the next. The chat or trigger node's input will be processed by the AI, then parsed into an API request, and finally sent to Proxmox using the HTTP Request node.
Apps Used
Workflow JSON
{
"id": "8eddbedb-11b6-40df-b781-086c00661cf2",
"name": "Automate Proxmox VM Management with AI-Powered Workflows",
"nodes": 10,
"category": "DevOps",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 8eddbedb-11b6...
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