OpenAI ChatKit implementation on .NET Core

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The easy way to embed AI agents, RAG and MCP in your Sitefinity .NET Core website

Transforming business through Agent Builder

Earlier this week, OpenAI unveiled AgentKit—promising "batteries-included" AI agents that integrate anywhere. We tested that claim by building a complete integration into Sitefinity DotNetCore. No proof-of-concept, no simplified demo environment—a production-ready implementation that handles authentication, session management, and custom widgets.

The result? A working Sitefinity widget that embeds ChatKit's React components into ASP.NET Core without rebuilding your platform architecture. We've handled the complexity of bridging OpenAI's ecosystem with Sitefinity's framework, so you can evaluate AgentKit's capabilities in your actual environment rather than deciding based on vendor documentation.

Build anything, deploy nothing

Whether you want to integrate a RAG search, implement a customer service agent, a compliance checker or any other OpenAI agent you've build, whether it is on one - or dozens of pages throughout your DXP, you can embed them easily by just copy/pasting the workflow ID into the Sitefinity widget. No deployments required.

Deploy OpenAI agents without developer involvement

This widget transforms AgentKit from a developer tool into a content editor capability. Build your AI workflows visually in OpenAI's platform, design response templates, then drag the widget onto any Sitefinity page. No development, no custom coding—just standard CMS widgets with intelligent, conversational and MCP capabilities.

OpenAI AgentBuilder

Get the full widget for free

Request access to the full widget source code, including:

  • Complete Sitefinity DotNetCore widget implementation
  • Backend controller for OpenAI API integration
  • TypeScript for ChatKit component initialization
  • Security configuration guide (API keys, session management)
  • Architecture documentation and deployment considerations.

We'll send you a copy of the code or repository link with everything you need to implement this in your environment.

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