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This guide demonstrates how to integrate Gravix Layer with n8n for building automation workflows that include model inference steps and data transformations.

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What You’ll Learn​

  • How to call Gravix Layer’s API from n8n
  • How to use the HTTP Request node for completions and chat
  • Example: Automated changelog generation from Git data

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1. Install Required Packages​

n8n is a no-code/low-code platform. You can self-host or use n8n Cloud. No Python packages required.

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2. Configure Your API Key​

Add your Gravix Layer API key as an environment variable or use n8n’s credentials manager.

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3. Example: Generate a Changelog from Git Data​

Add an HTTP Request node to your n8n workflow with the following configuration: n8n HTTP Request Node Example 
{
	"parameters": {
		"method": "POST",
		"url": "https://api.gravixlayer.com/v1/chat/completions",
		"sendHeaders": true,
		"headerParameters": {
			"parameters": [
				{
					"name": "Authorization",
					"value": "=Bearer YOUR_GRAVIXLAYER_API_KEY"
				}
			]
		},
		"sendBody": true,
		"specifyBody": "json",
		"jsonBody": "={\n  {\n    \"model\": \"meta-llama/llama-3.1-8b-instruct\",\n    \"messages\": [\n      {\n        \"role\": \"user\",\n        \"content\": \"Summarize the following commit:\\n\" + $json.commit_message\n      }\n    ]\n  }\n}"
	},
	"name": "Call GravixLayer AI",
	"type": "n8n-nodes-base.httpRequest",
	"typeVersion": 4.2
}
Expected Output: 
A detailed changelog entry generated by the AI model based on your commit message.
Tips:
  • You can use any supported Gravix Layer model by changing the model parameter.
  • For vision or multimodal tasks, provide image URLs or base64-encoded images in the messages array.
  • Combine with other n8n nodes for powerful, end-to-end automation.
For more details, see the n8n documentation.
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