Roadmap.md

Here's a structured approach to building CopilotKit’s inline text suggestions feature using TypeScript. Each step is designed to build one part of the app at a time with best practices.

Step 1: Set Up Project & UI with TypeScript Objective Create a basic UI to capture user input and display text suggestions inline.

Instructions Set Up the Project:

Initialize your project: npx create-react-app copilotkit --template typescript. Install required dependencies (React, TypeScript, etc.). Create Input Field and Suggestion Overlay:

In App.tsx or a similar file, create an input field and a div/span for the inline suggestion. typescript Copy code import React, { useState } from 'react';

const CopilotKit: React.FC = () => { const [userInput, setUserInput] = useState(''); const [suggestion, setSuggestion] = useState('');

const handleInputChange = (event: React.ChangeEvent) => { setUserInput(event.target.value); };

return (

{suggestion}

); };

export default CopilotKit; Style Inline Suggestion (CSS):

Add CSS to overlay suggestions inside the input. Lighter opacity helps distinguish the suggestion. css Copy code .input-wrapper { position: relative; }

.suggestion-text { position: absolute; top: 0; left: 0; opacity: 0.5; color: gray; pointer-events: none; } Step 2: Capture Real-Time User Input Objective Capture input with debounce or throttle to optimize real-time suggestions.

Instructions Add Debounce/Throttle Utility:

Use lodash for debounce or throttle (npm install lodash), or write a custom utility. typescript Copy code import { debounce } from 'lodash';

const handleInputChange = debounce((event: React.ChangeEvent) => { setUserInput(event.target.value); // Trigger model function here }, 300); Update State with Optimized Input:

Apply this optimized handleInputChange in the input field, ensuring smooth updates without overloading. Step 3: Generate Text Suggestions Using Model Objective Call a TypeScript-compatible model to generate suggestions based on input context.

Instructions Integrate Model API:

Assuming the model provides a generateSuggestion function, implement this function call within the debounced handleInputChange. typescript Copy code const fetchSuggestion = async (input: string) => { const response = await generateSuggestion(input); // hypothetical model function setSuggestion(response); }; Invoke Model with Optimized Input:

Call fetchSuggestion within handleInputChange, passing the user’s input. Step 4: Display Suggestions Inline with Ghost Text Objective Overlay model-generated suggestions as ghost text for better UX.

Instructions Modify Suggestion Display Logic:

Display only the text suggestion that extends the user’s input. typescript Copy code const displaySuggestion = () => { if (suggestion.startsWith(userInput)) { return suggestion.slice(userInput.length); } return ''; };

{displaySuggestion()} Style and Align:

Make sure the suggestion aligns well with user input for a seamless visual experience. Step 5: Implement User Interaction for Accepting Suggestions Objective Allow users to accept (Tab/Enter) or ignore suggestions.

Instructions Add Keydown Event Listeners:

Detect Tab or Enter to confirm the suggestion. Append the suggestion to userInput if confirmed. typescript Copy code const handleKeyDown = (event: React.KeyboardEvent) => { if (event.key === 'Tab' || event.key === 'Enter') { event.preventDefault(); if (suggestion) { setUserInput(suggestion); setSuggestion(''); } } }; Clear or Update Suggestion:

If ignored, the suggestion fades out or resets as the user continues typing. Step 6: Optimize with Throttling and Debouncing Objective Avoid unnecessary model calls for better performance.

Instructions Throttle Model Calls:

Use throttling on keystrokes to make API calls every 300ms, reducing load on the model. Implement Additional Caching (Optional):

Cache suggestions for recently entered text to avoid redundant model calls. Step 7: Testing and Refinements Objective Validate the feature and refine the UX.

Instructions Test User Flow:

Check for responsiveness, suggestion accuracy, and keystroke performance. Refine UX Based on Feedback:

Make adjustments based on user feedback or testing results for a polished final product. Following these steps with TypeScript best practices ensures a smooth development process for CopilotKit’s inline text suggestion feature.