@gluneau/n8n-nodes-venice

This is an n8n community node package that provides integration with Venice.ai's AI services. It allows n8n workflows to use Venice.ai's models for text generation, image creation, speech synthesis, and vector embeddings.

Features

This node package provides:

• Venice AI (root node): Main entry point for Venice.ai integrations
• Venice Chat Model (sub-node): Generate text using Venice.ai's chat models
• Venice Image Generation (sub-node): Create and manipulate images with Venice.ai
• Venice Text to Speech (sub-node): Convert text to spoken audio with Venice.ai
• Venice Embeddings (sub-node): Generate vector embeddings from text with Venice.ai

Prerequisites

• n8n (version 0.177.0 or later)
• Node.js (version 18 or later)
• A Venice.ai API key

Installation

Follow these steps to install this custom node package in your n8n instance:

Local Installation (Development)

1. Clone this repository:

   git clone https://github.com/gluneau/n8n-nodes-venice.git
   cd n8n-nodes-venice

2. Install dependencies:

   npm install

3. Build the package:

   npm run build

4. Link the package to your n8n installation:

   npm link

5. In your n8n installation directory:

   cd ~/.n8n/nodes
   npm link @gluneau/n8n-nodes-venice

6. Start n8n:

   n8n start

Production Installation

1. Install directly from npm:

   npm install -g @gluneau/n8n-nodes-venice

2. Start n8n:

   n8n start

Configuration

Setting up Venice.ai Credentials

1. Log in to your n8n instance
2. Go to Settings > Credentials
3. Click on New Credential
4. Search for "Venice.ai API" and select it
5. Enter your Venice.ai API key
6. Save the credential

Usage

After installation, you'll find the Venice.ai nodes in the n8n nodes panel.

Basic Workflow with Venice Chat Model

1. Add a trigger node (e.g., HTTP Request or Manual trigger)
2. Add the Venice AI node
3. Click on the "Add Chat Model" button in the Venice AI node
4. Configure the Venice Chat Model with your prompt and model settings
5. Connect to output nodes as needed

Example: Text Generation Workflow

Here's a simple workflow that generates text based on a prompt:

1. Manual Trigger
2. Set node (to define the prompt):
   • Set a prompt variable with your text prompt
3. Venice AI node:
   • Add a Chat Model
   • In the Chat Model, add a message with role "User" and content set to {{$json.prompt}}
   • Configure model and other parameters as needed
4. Respond to Webhook node to return the result

Example: Image Generation Workflow

Create images from text descriptions:

1. HTTP Request trigger
2. Venice AI node:
   • Add Image Generation
   • Set prompt to {{$json.body.prompt}}
   • Configure size, style, and other parameters
3. HTTP Response node to return the generated image

Example: Text-to-Speech Workflow

Convert text to spoken audio:

1. HTTP Request trigger (with text input)
2. Venice AI node:
   • Add Text to Speech
   • Set text to {{$json.body.text}}
   • Choose voice and format
3. HTTP Response node to return the audio file

Example: Embeddings Workflow

Generate vector embeddings for text:

1. Function node (with text input)
2. Venice AI node:
   • Add Embeddings
   • Set input to {{$json.text}}
   • Configure model and dimensions
3. Write to File node to save embeddings for further use

Development

Building

npm run build

Linting

npm run lint

Auto-fix linting issues:

npm run lintfix

Formatting Code

npm run format

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

If you encounter any issues or have questions, please:

1. Check the issues page
2. Create a new issue if your problem doesn't already exist

For Venice.ai API-specific questions, refer to their official documentation.