building-chat-interfaces

To build an authenticated AI chat interface, you route frontend requests through a custom backend using JWT handling and Next.js httpOnly cookie proxy patterns, ensuring secure sessions before streaming responses to your chat UI.

Context injection in AI chat interfaces passes user data, page context, and conversation history into the model prompt so responses are grounded in the current user's experience, which is needed for building multi-tenant assistants.

Yes, ChatKit supports extending a Python server for SSE streaming and persistent thread storage, allowing you to maintain user-specific conversation state and route responses through custom agent logic securely.

Yes, you can secure streaming chat responses in React by implementing JWT-based authentication and Next.js httpOnly cookie proxying, which isolates user sessions and safely forwards request metadata to your backend.

The best way to maintain user-specific conversation state is routing chat traffic through a custom backend that applies context injection and persistent thread storage, ensuring the model only sees the current user's data.

Your AI chat widget likely lacks proper user isolation, which requires JWT-based authentication, httpOnly cookie proxying, and context injection to ensure the custom backend only accesses the current user's conversation state.