Documentation

Complete documentation for CourseEcho AI Widget SDK with integration guides for React, Vue, Angular, and vanilla JavaScript.

Quick Start

Get the AI Widget SDK up and running in minutes.

1. Install via NPM

npm install @courseecho/ai-widget-sdk

2. Initialize the Widget

import { AiWidget } from '@courseecho/ai-widget-sdk'; const widget = new AiWidget({ apiKey: 'YOUR_API_KEY', containerId: 'ai-widget', position: 'bottom-right' }); widget.initialize();

3. Add to HTML

<div id="ai-widget"></div>
✓
That's it! Your AI widget is now ready to chat. See the integration guides below for framework-specific setup.

Ready to integrate the AI Widget?

Helpful next steps

Developers often move between product, learning, and support pages while implementing the SDK.

Comprehensive Technical Documentation & Integration Support

Empowering developers to build faster, smarter, and more personalized AI experiences.

Technical Overview of the CourseEcho AI SDK

Our documentation is designed to provide developers with a clear, step-by-step path to implementing the CourseEcho AI Widget. Unlike traditional chat widgets, our SDK is built for high performance and minimal bundle size, ensuring your site speed remains optimal while offering advanced AI capabilities.

Whether you are building in React, Vue, or Angular, our documentation covers everything from basic installation to complex API event handling.

Enterprise-Grade Performance and Security

At the core of our documentation is a focus on security and scalability. We provide detailed schemas for data handling, ensuring that all user interactions within the AI widget are encrypted and compliant with modern privacy standards. For institutions, this means you can offer personalized education counseling through AI without compromising data integrity.

Check our Configuration guide for details on how to white-label the widget to match your brand identity.

How Documentation Supports Student Success

By providing a robust SDK, we allow educational institutions to integrate our tools directly into their portals. This means students can access career roadmaps and learning resources without ever leaving your platform. Our documentation includes examples of how to link specific AI intents to recommended courses.

If you're looking for help with the code implementation, our community of experts often shares tips in the tutorials section.

Developer and Integration FAQ

1. Is there a sandbox environment for testing?

Yes, our examples gallery provides live code environments where you can test the AI's response to various user queries before deploying to production.

2. Can I use the SDK with older JavaScript frameworks?

While we optimize for modern stacks, our Vanilla JS documentation ensures compatibility with almost any web environment.

3. How do I get human support for SDK issues?

Institutional partners can contact our technical support team directly for architectural reviews and implementation audits.