devexpress-wpf-ai-chat-control

Integrate DevExpress AIChatControl into WPF apps with streaming and Markdown support.

39|7|Updated Jun 2, 2026

Search Tags:#rag #streaming #wpf #ai chat #blazor #devexpress #ic hatclient

Ready to run

npx skills add https://github.com/DevExpress/agent-skills --skill devexpress-wpf-ai-chat-control

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: devexpress-wpf-ai-chat-control
Source: https://github.com/DevExpress/agent-skills/tree/main/plugins/dx-wpf/skills/devexpress-wpf-ai-chat-control
Command: npx skills add https://github.com/DevExpress/agent-skills --skill devexpress-wpf-ai-chat-control

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Building a production-ready in-app AI chat interface for WPF applications traditionally requires custom UI development, AI provider integration, streaming support, Markdown rendering, and chat history management, which is time-consuming and prone to integration errors.

Core Features & Use Cases

This Skill provides a pre-built DevExpress AIChatControl that supports streaming responses, Markdown rendering, file attachments, prompt suggestions, and chat history persistence, compatible with Azure OpenAI, OpenAI, Ollama, and Semantic Kernel backends. It is ideal for building chat assistants, document Q&A tools, RAG dashboards, and any in-app conversational UI for WPF applications.

Quick Start

Use the devexpress-wpf-ai-chat-control skill to add a fully functional AI chat interface to your WPF ThemedWindow with streaming and Markdown support.

Frequently Asked Questions about devexpress-wpf-ai-chat-control

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

FAQPage Schema

How do I add an AI chat interface to a WPF application?▼

You can embed a Copilot-style AI chat in WPF apps using a pre-built control that handles streaming, Markdown rendering, and chat history. It requires a .NET 8+ WPF project with Microsoft.NET.Sdk.Razor SDK, WebView2 runtime, and a registered IChatClient instance.

Can I use OpenAI and Ollama backends with a WPF AI chat control?▼

Yes, the WPF AI chat control supports integration with Azure OpenAI, OpenAI, Ollama, and Semantic Kernel backends. You must register an IChatClient instance to connect the UI to your chosen AI provider.

Does WPF AI chat support streaming responses and file attachments?▼

Yes, the WPF AI chat control supports streaming responses, file attachments, prompt suggestions, and Markdown rendering. These features enable building interactive chat assistants and document Q&A tools within WPF applications.

What do I need to set up before embedding an AI chat in WPF?▼

Before embedding an AI chat in WPF, you need a .NET 8+ WPF project with the Microsoft.NET.Sdk.Razor SDK and WebView2 runtime installed. You must also register an IChatClient instance to connect to your AI backend.

Why build a custom AI chat UI when using a pre-built WPF control?▼

Building a custom AI chat UI from scratch requires provider integration, streaming support, and Markdown rendering, which is time-consuming and prone to errors. A pre-built WPF control provides these production-ready features natively.