interactive-widgets

To embed interactive Flutter widgets in an AI chat stream, you need a backend to generate widget descriptors and stream them via Nexus, alongside a Flutter frontend that dynamically renders the JSON data into charts, forms, or cards.

Yes, you can use RBAC to control actions inside interactive chat widgets. The streaming widget descriptors support RBAC-enabled actions, ensuring data sources and user interactions like form submissions or drill-down charts remain securely gated.

You can render multiple interactive UI components in a conversation stream, specifically supporting charts, tables, forms, cards, and navigation widgets. These components enrich static AI responses by enabling in-conversation data visualization and filtering.

Yes, streaming widget descriptors requires a custom backend integrated with Nexus and Kailash for end-to-end widget generation. The backend handles streaming text and widget data, while the Flutter frontend dynamically renders the JSON descriptors.

Using interactive widgets instead of static text in AI assistant responses solves the lack of structure and interactivity. It enables users to directly interact with data, submit form-driven filters, and navigate drill-down visualizations without leaving the chat context.