floydr 1.0.4

A zero-boilerplate framework for building interactive ChatGPT widgets

Floydr Framework

A zero-boilerplate framework for building interactive ChatGPT widgets

---

🚀 Quick Start

1. Create Virtual Environment (Recommended)

python -m venv venv
source venv/bin/activate    # macOS/Linux
venv\Scripts\activate       # Windows

2. Install Floydr

pip install floydr

3. Create Project

floydr init my-widgets

This generates the complete project structure:

my-widgets/
├── server/
│   ├── __init__.py
│   ├── main.py              # Auto-discovery server
│   ├── tools/               # Widget backends
│   │   └── __init__.py
│   └── api/                 # (optional) Shared APIs
│       └── __init__.py
├── widgets/                 # Widget frontends (empty initially)
├── requirements.txt         # Python dependencies
├── package.json             # JavaScript dependencies
├── .gitignore
└── README.md

4. Install Dependencies

cd my-widgets

# Python dependencies
pip install -r requirements.txt

# JavaScript dependencies
npm install

5. Create Your First Widget

floydr create greeting

This adds to your project:

my-widgets/
├── server/
│   └── tools/
│       └── greeting_tool.py # ← Generated: Widget backend
└── widgets/
    └── greeting/
        └── index.jsx        # ← Generated: Widget frontend

6. Edit Your Widget Code

You only need to edit these 2 files:

server/tools/greeting_tool.py - Backend Logic

from floydr import BaseWidget, Field, ConfigDict
from pydantic import BaseModel
from typing import Dict, Any

class GreetingInput(BaseModel):
    model_config = ConfigDict(populate_by_name=True)
    name: str = Field(default="World")

class GreetingTool(BaseWidget):
    identifier = "greeting"
    title = "Greeting Widget"
    input_schema = GreetingInput
    invoking = "Preparing greeting..."
    invoked = "Greeting ready!"
    
    widget_csp = {
        "connect_domains": [],      # APIs you'll call
        "resource_domains": []      # Images/fonts you'll use
    }
    
    async def execute(self, input_data: GreetingInput) -> Dict[str, Any]:
        # Your logic here
        return {
            "name": input_data.name,
            "message": f"Hello, {input_data.name}!"
        }

widgets/greeting/index.jsx - Frontend UI

import React from 'react';
import { useWidgetProps } from 'chatjs-hooks';

export default function Greeting() {
  const props = useWidgetProps();
  
  return (
    <div style={{
      padding: '40px',
      textAlign: 'center',
      background: '#4A90E2',
      color: 'white',
      borderRadius: '12px'
    }}>
      <h1>👋 {props.message}</h1>
      <p>Welcome, {props.name}!</p>
    </div>
  );
}

That's it! These are the only files you need to write.

7. Build and Run

# Build
npm run build

# Start server
python server/main.py

Your widget is now live at http://localhost:8001 🎉

---

📦 What You Need to Know

Widget Structure

Every widget has exactly 2 files you write:

1. Python Tool (server/tools/*_tool.py)

   • Define inputs with Pydantic
   • Write your logic in execute()
   • Return data as a dictionary

2. React Component (widgets/*/index.jsx)

   • Get data with useWidgetProps()
   • Render your UI
   • Use inline styles

Everything else is automatic:

• ✅ Widget discovery
• ✅ Registration
• ✅ Build process
• ✅ Server setup
• ✅ Mounting logic

Input Schema

from floydr import Field, ConfigDict
from pydantic import BaseModel

class MyInput(BaseModel):
    model_config = ConfigDict(populate_by_name=True)
    
    name: str = Field(default="", description="User's name")
    age: int = Field(default=0, ge=0, le=150)
    email: str = Field(default="", pattern=r'^[\w\.-]+@[\w\.-]+\.\w+$')

CSP (Content Security Policy)

Allow external resources:

widget_csp = {
    "connect_domains": ["https://api.example.com"],     # For API calls
    "resource_domains": ["https://cdn.example.com"]     # For images/fonts
}

React Hooks

import { useWidgetProps, useWidgetState, useOpenAiGlobal } from 'chatjs-hooks';

function MyWidget() {
  const props = useWidgetProps();              // Data from Python
  const [state, setState] = useWidgetState({}); // Persistent state
  const theme = useOpenAiGlobal('theme');      // ChatGPT theme
  
  return <div>{props.message}</div>;
}

---

📚 Documentation

• Quick Start Guide - Detailed setup instructions
• Tutorial - Step-by-step widget examples
• API Reference - Complete API documentation
• Examples - Real-world widget examples

---

🔧 CLI Commands

# Create new widget (auto-generates both files)
python -m floydr.cli.main create mywidget

# Or if installed globally:
floydr create mywidget

---

📖 Project Structure After floydr create

When you run python -m floydr.cli.main create greeting, you get:

my-widgets/
├── server/
│   ├── __init__.py
│   ├── main.py                  # ✅ Already setup (no edits needed)
│   ├── tools/
│   │   ├── __init__.py
│   │   └── greeting_tool.py     # ← Edit this: Your widget logic
│   └── api/                     # (optional: for shared APIs)
│
├── widgets/
│   └── greeting/
│       └── index.jsx            # ← Edit this: Your UI
│
├── assets/                      # ⚙️ Auto-generated during build
│   ├── greeting-HASH.html
│   └── greeting-HASH.js
│
├── requirements.txt             # Python dependencies
├── package.json                 # JavaScript dependencies
└── build-all.mts                # ⚙️ Auto-copied from chatjs-hooks

You only edit the 2 files marked with ←

---

🎯 Key Features

• ✅ Zero Boilerplate - Just write your widget code
• ✅ Auto-Discovery - Widgets automatically registered
• ✅ Type-Safe - Pydantic for Python, TypeScript for React
• ✅ CLI Tools - Scaffold widgets instantly
• ✅ React Hooks - Modern React patterns via chatjs-hooks
• ✅ MCP Protocol - Native ChatGPT integration

---

💡 Examples

Simple Widget

# server/tools/hello_tool.py
class HelloTool(BaseWidget):
    identifier = "hello"
    title = "Hello"
    input_schema = HelloInput
    
    async def execute(self, input_data):
        return {"message": "Hello World!"}

// widgets/hello/index.jsx
export default function Hello() {
  const props = useWidgetProps();
  return <h1>{props.message}</h1>;
}

With API Call

async def execute(self, input_data):
    async with httpx.AsyncClient() as client:
        response = await client.get("https://api.example.com/data")
        data = response.json()
    return {"data": data}

With State

function Counter() {
  const [state, setState] = useWidgetState({ count: 0 });
  return (
    <button onClick={() => setState({ count: state.count + 1 })}>
      Count: {state.count}
    </button>
  );
}

---

🐛 Troubleshooting

Widget not loading?

• Check identifier matches folder name
• Rebuild: npm run build
• Restart: python server/main.py

Import errors?

pip install --upgrade floydr
npm install chatjs-hooks@latest

Need help? Check our docs or open an issue

---

🤝 Contributing

See CONTRIBUTING.md

📄 License

MIT © Floydr Team

🔗 Links

• PyPI: https://pypi.org/project/floydr/
• ChatJS Hooks: https://www.npmjs.com/package/chatjs-hooks
• GitHub: https://github.com/floydr-framework/floydr
• MCP Spec: https://modelcontextprotocol.io/