n8n

About n8n

n8n is a powerful workflow automation platform that connects apps and automates processes. With visual workflow building, pre-built integrations, and flexible customization options, n8n makes it easy to create complex automations without extensive coding.

Why Use Featherless with n8n?

Unlimited AI Power, Predictable Costs With Featherless, you can run AI automation without token anxiety, accessing powerful models like DeepSeek, LLaMA, Mistral, and Qwen at a flat monthly rate. This means you can scale your AI workflows extensively without worrying about escalating per-token costs eating into your budget.

Seamless Integration The integration features a native Featherless node available directly in n8n, built and maintained by Featherless AI and verified by n8n for reliability and security. Pre-authenticated connections make setup quick and straightforward, getting you up and running in minutes.

Endless Possibilities You can connect Featherless's AI capabilities to over 1000 apps and services through n8n's extensive integration library. The platform also allows you to combine our AI models with n8n's built-in AI features and build completely custom workflows using HTTP Request nodes for maximum flexibility.

Getting Started

Prerequisites

• Active Featherless AI account

• n8n account (cloud or self-hosted)

• Featherless API key

Quick Setup

1. Install the Integration

   • Open your n8n workflow editor

   • Search for "Featherless" in the node library

   • Add the Featherless node to your workflow

2. Configure Authentication

   • Add your Featherless API key in the credentials

   • Test the connection to ensure it's working

3. Start Building

   • Connect Featherless to your desired apps

   • Configure your AI model preferences

   • Deploy your workflow

Using Featherless AI with n8n's AI Agent Node

Overview

While n8n's AI Agent Node doesn't natively support Featherless AI, you can easily integrate Featherless models using our OpenAI-compatible API. This approach gives you access to over 12,000 open-source models at flat-rate pricing, with support for large context windows and premium models like DeepSeek, Kimi-K2, and the GLM series.

Prerequisites

Before you begin, make sure you have:

• An active n8n instance (self-hosted or cloud)

• A Featherless AI account (sign up here)

• Your Featherless API key (found in your dashboard)

Step-by-Step Setup

1. Add the AI Agent Node

In your n8n workflow, add an AI Agent node and configure it to use the OpenAI Chat Model.

2. Configure OpenAI Credentials

When setting up your OpenAI credentials, you'll need to point to Featherless's API endpoint:

1. Click on Credential to connect with

2. Select OpenAI account (or create a new credential)

3. Configure the following fields:

Required fields:

• API Key: Your Featherless API key from your dashboard

• Base URL: https://api.featherless.ai/v1

• Organization ID: Can leave empty (not required for Featherless).

3. Select Your Model

Configure the model settings in the Parameters tab:

Model configuration:

1. Set Model selection to By ID

2. Enter the model ID from the Featherless model catalog

   • Example: moonshotai/Kimi-K2-Instruct-0905

   • Example: deepseek-ai/DeepSeek-V3-0324

   • Example: zai-org/GLM-4.6

3. Set Maximum Number of Tokens (required)

   • This parameter is mandatory for the integration to work

   • Recommended: Start with 32768 for models with large context windows

   • Adjust based on your specific model's capabilities

Troubleshooting

Common Issues

Error: "Maximum tokens not set"

• Solution: Ensure you've set the Maximum Number of Tokens parameter in the model configuration

• This is required for all models and prevents errors

Error: "Invalid API key"

• Solution: Verify your API key is copied correctly from your Featherless dashboard

• Ensure there are no extra spaces or characters

Error: "Model not found"

• Solution: Double-check the model ID matches exactly with the model catalog

• Model IDs are case-sensitive and include the full path (e.g., owner/model-name)

Popular Use Cases

Document Processing & RAG Systems

Build intelligent document processing workflows that can extract and analyze content from various sources, generate embeddings for semantic search, create sophisticated question-answering systems, and seamlessly integrate with vector databases like Qdrant for enterprise-grade retrieval capabilities.

Content Generation Pipelines

Automate your entire content creation process by generating blog posts from data sources, creating social media content at scale, translating materials across multiple languages, and summarizing long-form content into digestible formats for different audiences.

Data Analysis & Insights

Transform raw data into actionable business intelligence through automated customer feedback and sentiment analysis, structured data report generation, research summary creation, and intelligent processing and categorization of large datasets.

Customer Service Automation

Enhance your customer support operations with intelligent ticket routing and categorization systems, automated response generation that maintains your brand voice, multi-language customer support capabilities, and knowledge base question answering that provides instant, accurate responses.

Support & Resources