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Gravix Layer x n8n Integration

Easily connect Gravix Layer's AI models to your n8n workflows using the built-in HTTP Request node. This allows you to automate tasks, generate content, or analyze data with powerful LLMs and vision models directly from your n8n automations.

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

1. Install Required Packages​

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

2. Configure Your API Key​

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

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/inference/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.