n8n-nodes-aimlapi

This is an n8n community node for AI/ML API integration.
It allows you to interact with large language models (LLMs) and multimodal models directly from your n8n workflows.

n8n is a fair-code licensed workflow automation platform.

AI/ML API provides access to 300+ AI models, including Deepseek, Gemini, ChatGPT, and many others — all with enterprise-grade rate limits and uptimes.

Features

• Chat with any LLM available on AI/ML API
• Dynamic model selection
• Parameter tuning (temperature, max tokens, top-p, penalties)
• Multiple output formats: raw, full response, messages, or plain text
• Credential-based authentication

Installation

Community Node (Recommended)

1. Open your n8n instance
2. Go to Settings → Community Nodes
3. Click Install
4. Enter n8n-nodes-aimlapi
5. Accept the prompt to install the node
6. After installation, the node will appear under AI/ML API in the node palette

Manual Installation (Advanced)

npm install n8n-nodes-aimlapi

Then restart your n8n instance.

Configuration

Credentials

To use this node, you must configure AI/ML API credentials:

1. Sign up at https://aimlapi.com/
2. Go to your dashboard and generate an API key
3. In n8n, create new credentials of type AI/ML API
4. Paste your API key
5. Save and use in the node

📚 You can also refer to the provider documentation for detailed API specs.

Node Parameters

• Model: Select model from the list (e.g. gpt-3.5-turbo)

• Prompt: User prompt to send to the model

• Extract From Response:

  • Text Only (First Message) – plain answer string
  • Assistant Messages – array of message objects
  • Choices Array – raw OpenAI-style choices[]
  • Full Raw JSON – full API response

• Options:

  • Temperature
  • Top P
  • Max Tokens
  • Presence Penalty
  • Frequency Penalty
  • Response Format (e.g. text)

Usage Example

1. Add a Manual Trigger
2. Add the AI/ML API node
3. Configure credentials
4. Set a model (e.g. gpt-3.5-turbo)
5. Enter prompt: What is the capital of France?
6. Select Extract: Text Only
7. Execute — you’ll get Paris

Troubleshooting

• If the node doesn't show up, try restarting your instance
• If the icon or name doesn't render, make sure you ran npm run build && gulp build:icons
• To debug model list: ensure credentials and /models endpoint return valid JSON

Support

Please open an issue or pull request in the GitHub repository if you encounter problems.