Build Your App With Reusable SwiftUI AI Chat Components
Blog post from Stream
Stream’s SwiftUI AI components library helps developers build iOS chat interfaces that display streamed LLM responses through Stream Chat, offering reusable elements such as Markdown-capable streaming messages, customizable typing and status indicators, a prompt composer with attachments and stop-generation controls, and speech-to-text input. The sample app uses a Node.js backend that receives Stream messages, calls an LLM provider such as Anthropic, OpenAI, Google, or a custom service, and streams generated responses back as updated chat messages, while Apple Speech and AVFoundation support voice and camera features. Setup requires Stream credentials, an LLM API key, privacy permissions, Swift package dependencies, and network configuration for physical devices. The library supports theming and selective replacement of composer UI slots through factory protocols, but currently depends on a backend for AI generation and contains a limited set of AI-specific components, with related implementations available for Android, Flutter, React, and React Native.
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