building-chat-interfaces

Adding authentication to an AI chat interface requires a custom fetch interceptor and an httpOnly cookie proxy to securely pass credentials. This pattern uses ChatKitServer on the backend and useChatKit on the frontend to maintain data isolation in multi-tenant applications.

Injecting user context into a chat UI involves propagating user information and page context through the backend. Using a ChatKitServer extension allows you to customize agent responses while securely injecting context and maintaining consistent tool interaction.

Setting up a secure chat backend with MCP tool integration involves extending ChatKitServer and using MCP-auth style prompts. This framework provides a reusable pattern to connect frontend chat UIs to backends with authentication and MCP tool integration for production apps.

Yes, you can use httpOnly cookies for secure chat authentication by implementing a proxy. This approach secures auth tokens by preventing frontend access, using useChatKit with custom fetch interceptors to manage secure context propagation.

Yes, this pattern supports multi-tenant data isolation in AI chat by using a backend framework that enforces authentication and context propagation. It addresses multi-tenant security complexity by ensuring data isolation through secure auth patterns and ChatKitServer extensions.

You need a custom fetch interceptor in chat applications when integrating frontend chat UIs with secure backends. It allows you to configure useChatKit to handle httpOnly cookie proxies and propagate user context securely across frontend and backend components.