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devextreme-chat

Implement DevExtreme dxChat for Angular, React, Vue, and jQuery.

39|7|Updated Jun 2, 2026
Search Tags:#react#angular#ai integration#devextreme#dxchat#chat component#message streaming
One-click install
npx skills add https://github.com/DevExpress/agent-skills --skill devextreme-chat
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: devextreme-chat
Source: https://github.com/DevExpress/agent-skills/tree/main/plugins/dx-devextreme/skills/devextreme-chat
Command: npx skills add https://github.com/DevExpress/agent-skills --skill devextreme-chat

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill eliminates the guesswork and errors developers face when implementing the DevExtreme Chat (dxChat) component across Angular, React, Vue, and jQuery, avoiding custom chat builds, API hallucinations, and framework-specific pitfalls.

Core Features & Use Cases

  • Cross-framework implementation: Provides correct, framework-specific code patterns for Angular, React, Vue, and jQuery, including Angular standalone imports and React hook best practices.
  • AI & real-time features: Supports integration with OpenAI, Azure OpenAI, and Dialogflow, including streaming response handling, typing indicators, and Markdown rendering for AI-generated content.
  • Full chat functionality: Covers message editing/deletion, suggestion buttons, popup embedding, user management, and alert systems for production-ready chat interfaces.
  • Use Case: Build a customer support chatbot that streams AI responses, supports Markdown formatting, and lets users edit their recent messages, all without manual API trial and error.

Quick Start

Use the devextreme-chat skill to build a React-based AI chatbot that connects to OpenAI, streams responses in real time, and renders Markdown-formatted messages.

Frequently Asked Questions about devextreme-chat

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I implement a React chat component that streams AI responses and renders Markdown?▼

To implement a React chat component with AI streaming and Markdown rendering, apply framework-specific hook patterns that handle real-time message updates. This approach supports OpenAI integration, typing indicators, and formatted AI-generated content without manual API trial and error.

Can I use DevExtreme dxChat for customer support widgets across Angular and Vue?▼

Yes, you can use dxChat for customer support widgets across Angular, React, Vue, and jQuery. It provides framework-specific code patterns, including Angular standalone imports, to build production-ready interfaces with user management, alert systems, and editable message workflows.

What is the correct way to configure the chat API to avoid mixing items and dataSource?▼

The correct API configuration prevents mixing items and dataSource and avoids incorrect user alignment. Applying framework-specific implementation guardrails ensures proper data binding, streaming response handling, and message management without common structural errors.

Does the dxChat component support message editing, deletion, and suggestion buttons?▼

Yes, the dxChat component supports full chat functionality including message editing, deletion, suggestion buttons, popup embedding, and user management. These features enable production-ready chat interfaces with editable message workflows and interactive alert systems.

What are common implementation errors when building real-time team messaging with dxChat?▼

Common implementation errors when building real-time messaging include mixing items and dataSource configurations, incorrect user alignment, and API hallucinations. Applying correct framework-specific code patterns and guardrails against these pitfalls ensures proper streaming response handling.

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