A2A Protocol Payloads Explained: How Agents Drive Mobile UI
What an A2A protocol LLM payload actually contains, how a React Native client parses it, and how Wire RN turns each agent message into a validated native component.
Your AI returns components, not text. Wire RN renders them as real native screens, onboarding, paywalls, dashboards, live in your app. Built on the open A2A and A2UI standards. Open source.
New to generative UI?You declare what your agent can render. Each component gets a name, a description (the LLM's routing hint), and a Zod schema for its props.
WireAI generates the system prompt from your registry. The agent returns JSON. WireAI validates every field against the schema before anything renders.
The component appears on screen. When the user taps it, the action flows back to the agent as structured input. The conversation continues.
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I'm Malik Chohra. 9 years shipping software, 7 in React Native mobile. App Lead at ScorePlay (the AI sports-media platform serving UEFA, Premier League, NBA, NHL, and Paris 2024, Series A $20M backed by Alexis Ohanian and Kevin Durant). On the Rx team at DocMorris (German digital pharmacy, 9M users) where my NFC integration for electronic health cards powers the prescription segment driving ~20% of group revenue and growing 33% YoY on Germany's eRezept rollout. Lead mobile at Mindshine when App Store rating moved 4.3 → 4.9 in five months (acquired by Greator, October 2022). Also at CoachHub. The wellness and coaching mobile pattern is lived expertise, not a positioning hunch. Built Wire RN as the open-source generative UI SDK for React Native, alongside AI Mobile Launcher (boilerplate) and writing Code Meet AI on AI-native mobile.
Read my full storyEach component is a real React Native primitive — accessible, themeable, crash-safe via ComponentErrorBoundary.














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The runtime event protocol used by LangGraph, CrewAI, MAF, Mastra. WireAI is the React Native client that GitHub issue #510 was waiting for.
Google's UI declaration spec, v0.9. WireAI implements it for React Native. The official roadmap doesn't cover RN yet.
Don't use AG-UI or A2UI? The WebhookAdapter connects any agent at an HTTP endpoint in three lines. No agent rewrite required.
The open-source SDK is the whole renderer, AG-UI and A2UI included, free forever under MIT. Running generative UI with a team? WireAI Cloud handles managed inference, analytics, and agent orchestration. We scope it with you on a call.
Subscribe to Code Meet AI for launch updates.
Yes for the core SDK. Local LLMs (Ollama, LM Studio, Webhook) and cloud LLMs work in Expo Go. Native features like on-device inference, MMKV persistence, camera, and GPS need an Expo development build. The split is documented clearly in the setup guide.
Tambo is the closest match: same approach, a component registry with a Zod schema. The difference is platform. Tambo targets React for web, WireAI targets React Native for mobile. They're not competitors. They cover different halves of the same problem.
CopilotKit is the agent-communication layer, and its React Native SDK is headless: you wire agents up with hooks, then build every screen yourself. WireAI is the rendering layer. The LLM emits a UI spec and WireAI renders it as native React Native components, no hand-built screens. On mobile the two are complementary, not competing. WireAI also speaks AG-UI and A2UI, the protocols CopilotKit helped standardize, so the stacks interoperate.
Two reasons. First, healthcare, legal, finance, and EU enterprises need it for compliance. Second, local LLMs are a free, no-key-required path for developers to try the SDK without pulling out a credit card.
WireAI tries to extract JSON from prose responses. If extraction fails, the response is shown as a fallback message, never a crash. If extraction succeeds but Zod validation fails, the same fallback runs with a dev-mode warning explaining which prop was wrong.
That's the point. The 11 built-in components are starting points. You register your own with the same API: name, description, Zod schema, React Native component. The system prompt updates automatically. No prompt engineering required.
Pseudo-streaming in the free tier (text reveals character-by-character for a live feel). Real token streaming is in WireAI Pro. The component skeleton appears in under 200ms and props fill in as tokens arrive.
Malik Chohra, a React Native engineer working at the intersection of AI and mobile. WireAI is built and maintained by one person. It's not a side project that will be abandoned.
Engineering insights on agent-driven UI, React Native performance, and AI-native architecture.
What an A2A protocol LLM payload actually contains, how a React Native client parses it, and how Wire RN turns each agent message into a validated native component.
Generative UI React Native, explained: Wire RN is an open-source MIT SDK where an LLM returns JSON for one native component per turn, rendered natively.
Google released A2UI in late 2025. Here is what the agent-to-UI protocol means for React Native, where the existing renderers fall short on mobile, and how WireAI's flat component model already aligns with the spec.