open-index/open-npm huggingface dataset:
npm package: @flotiq/builder-plugin-flotiq
Description: Fetch your Flotiq data to your Builder.io application
Latest version: 1.0.7

# Builder.io Flotiq Plugin

Easily connect your Flotiq data with your Builder.io application!

## Installation

1. Go to your [Builder.io Space Settings](https://builder.io/account/space).
2. Click the **"Edit"** button in the **Integrations** section.
3. Enable the **Flotiq plugin**.

Once the plugin is enabled, you’ll be prompted to complete the configuration.  
Enter your **read-only API key** from Flotiq, which you can find in the **API Keys** section of your Flotiq account.

For more details, see the [Flotiq documentation](https://flotiq.com/docs/API/#application-api-keys).

![Flotiq plugin installation screenshot](https://api.flotiq.com/image/0x0/_media-e3d6833c-2ea7-4a60-9a3d-71c305dd6ff6/builder-flotiq-plugin.png)

## Usage

After installation, you can start binding your Flotiq content to your Builder.io components.

You’ll be able to:

- Select from your available **Content Type Definitions**
- Fetch specific entries using the **“Filter data by entry”** option
- Retrieve multiple entries using parameters like **page**, **limit**, **order by**, and **order direction**

![Flotiq plugin usage screenshot](https://api.flotiq.com/image/0x0/_media-ff400460-ae44-4c5a-9efa-13a5f49858d0/builder-flotiq-plugin-usage.png)
npm package: @flotorch-ai/n8n-nodes-flotorch
Description: FloTorch n8n nodes
Author: Adi Budithi
Latest version: 0.1.1

![FloTorch symbol](/icons/flotorch.svg)

# n8n-nodes-flotorch

This is an n8n community node. It lets you use FloTorch in your n8n workflows.

FloTorch is an all-in-one AI gateway.

[n8n](https://n8n.io/) is a [fair-code licensed](https://docs.n8n.io/reference/license/) workflow automation platform.

[Operations](#operations)  
[Installation](#installation)  
[Credentials](#credentials)  
[Compatibility](#compatibility)  
[Resources](#resources)  
[Version history](#version-history)

## Operations

### FloTorch LLM

- Stateless chat completion

### FloTorch Agent

- Conversation memory and tool use

### FloTorch Chat Model

- Connects to n8n's AI Agent

## Installation

### Docker

```bash
git clone https://github.com/flotorch/n8n-nodes-flotorch.git
docker build -t n8n-flotorch:latest .
docker run -it --rm -p 5678:5678 \
  -v n8n_data:/home/node/.n8n \
  n8n-flotorch:latest
```

### Docker Compose

```bash
git clone https://github.com/flotorch/n8n-nodes-flotorch.git
docker compose up --build
```

### Docker Hub

```bash
docker pull flotorchadi/n8n-flotorch:latest
docker run -it --rm \
  -p 5678:5678 \
  -v n8n_data:/home/node/.n8n \
  flotorchadi/n8n-flotorch:latest
```

### npm

[Try out n8n](https://docs.n8n.io/try-it-out/)

[Run custom n8n nodes locally](https://docs.n8n.io/integrations/creating-nodes/test/run-node-locally/)

1. Install n8n globally using npm

    ```bash
    npm install n8n -g
    ```

2. Clone the repository

    ```bash
    git clone https://github.com/flotorch/n8n-nodes-flotorch.git
    ```

3. Navigate inside the folder

    ```bash
    cd n8n-nodes-flotorch
    ```

4. Install Node.js dependencies

    ```bash
    npm install
    ```

5. Build FloTorch node package

    ```bash
    npm run build
    ```

6. Link package

    ```bash
    npm link
    ```

7. Navigate to ~/.n8n/custom (in the root directory of your machine). Create it if needed.

    ```bash
    mkdir ~/.n8n/custom # if needed
    cd ~/.n8n/custom
    ```

8. Add FloTorch node

    ```bash
    npm link n8n-nodes-flotorch
    ```

9. Start n8n

    ```bash
    n8n start
    ```

Follow the [installation guide](https://docs.n8n.io/integrations/community-nodes/installation/) in the n8n community nodes documentation.

## Credentials

Visit [flotorch.ai](https://flotorch.ai) to create an account.

## Compatibility

Node.js 24

n8n 1.117.3

## Resources

- [n8n community nodes documentation](https://docs.n8n.io/integrations/#community-nodes)
- [FloTorch resources](https://github.com/FloTorch/Resources)

## Version history

- v1 - First working version