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LLM responses shouldn't be limited to plain text. With the Jetpack Compose A2UI Renderer, you can seamlessly decode and render agent streams into native Android UI components with state management and theming built in. Explore the docs & samples →

43,339 просмотров • 7 дней назад •via X (Twitter)

Комментарии: 6

Фото профиля Akshay Nandwana | DevRel & Android
Akshay Nandwana | DevRel & Android7 дней назад

Ready to use demo A2UI

Фото профиля Pavitra Golchha
Pavitra Golchha7 дней назад

WHY ARE YOU USING Claude THEME?

Фото профиля Vibyra
Vibyra6 дней назад

Android LLM finally arrived

Фото профиля Andrew Williams
Andrew Williams6 дней назад

@grok and @bot take notes

Фото профиля Mark Thomas
Mark Thomas7 дней назад

This is so clean!!!

Фото профиля Rei Leo
Rei Leo6 дней назад

这不就是json-render么

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AG-UI makes building agentic applications dramatically easier. Here's how it works. This is a model for a simple chatbot: User → LLM → Response But interactive agents that render UI, pause for approvals, and ask users for input need a much more complex model. When building these agents, a response from the LLM will include a series of state changes as the agent runs: • Agent started a task • Agent called a tool • Agent updated its state • Agent streams these tokens • Agent is waiting on a human • Agent is resuming the task The Agent-User Interaction Protocol (AG-UI) treats the LLM response as a stream of events rather than a text endpoint. In practice, here is what you get as an agent runs: 1. Lifecycle events so your UI knows where the agent is. 2. Text messages that stream tokens. 3. Tool calls so your UI can prefill a form with any required arguments. 4. State updates that keep your UI in sync with the agent. 5. Special events for human approvals, rich media, and custom needs. All of these events travel over standard transports (SSE, WebSockets, or plain HTTP) as JSON. As a result, you can build a frontend that stays in sync with the agent's progress without having to invent a custom process to make this happen. For example, building a human-in-the-loop workflow becomes an off-the-shelf component you can integrate rather than build from scratch. CopilotKit🪁 is the creator of AG-UI, and you can use it when building frontend applications pretty much anywhere: • React • Angular • Vue • React Native • Slack • Teams • Discord • WhatsApp • Telegram Here is the link for you to check it out: Thanks to the CopilotKit team for partnering with me on this post.

Santiago

17,438 просмотров • 3 месяцев назад