Agent skill
agent-ui
Batteries-included agent component for React/Next.js from ui.inference.sh. One component with runtime, tools, streaming, approvals, and widgets built in. Capabilities: drop-in agent, human-in-the-loop, client-side tools, form filling. Use for: building AI chat interfaces, agentic UIs, SaaS copilots, assistants. Triggers: agent component, agent ui, chat agent, shadcn agent, react agent, agentic ui, ai assistant ui, copilot ui, inference ui, human in the loop
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/agent-ui
SKILL.md
Agent Component
Batteries-included agent component from ui.inference.sh.
Quick Start
# Install the agent component
npx shadcn@latest add https://ui.inference.sh/r/agent.json
# Add the SDK for the proxy route
npm install @inferencesh/sdk
Setup
1. API Proxy Route (Next.js)
// app/api/inference/proxy/route.ts
import { route } from '@inferencesh/sdk/proxy/nextjs';
export const { GET, POST, PUT } = route;
2. Environment Variable
# .env.local
INFERENCE_API_KEY=inf_...
3. Use the Component
import { Agent } from "@/registry/blocks/agent/agent"
export default function Page() {
return (
<Agent
proxyUrl="/api/inference/proxy"
agentConfig={{
core_app: { ref: 'openrouter/claude-haiku-45@0fkg6xwb' },
description: 'a helpful ai assistant',
system_prompt: 'you are helpful.',
}}
/>
)
}
Features
| Feature | Description |
|---|---|
| Runtime included | No backend logic needed |
| Tool lifecycle | Pending, progress, approval, results |
| Human-in-the-loop | Built-in approval flows |
| Widgets | Declarative JSON UI from agent responses |
| Streaming | Real-time token streaming |
| Client-side tools | Tools that run in the browser |
Client-Side Tools Example
import { Agent } from "@/registry/blocks/agent/agent"
import { createScopedTools } from "./blocks/agent/lib/client-tools"
const formRef = useRef<HTMLFormElement>(null)
const scopedTools = createScopedTools(formRef)
<Agent
proxyUrl="/api/inference/proxy"
config={{
core_app: { ref: 'openrouter/claude-haiku-45@0fkg6xwb' },
tools: scopedTools,
system_prompt: 'You can fill forms using scan_ui and fill_field tools.',
}}
/>
Props
| Prop | Type | Description |
|---|---|---|
proxyUrl |
string | API proxy endpoint |
name |
string | Agent name (optional) |
config |
AgentConfig | Agent configuration |
allowFiles |
boolean | Enable file uploads |
allowImages |
boolean | Enable image uploads |
Related Skills
# Chat UI building blocks
npx skills add inference-sh/skills@chat-ui
# Declarative widgets from JSON
npx skills add inference-sh/skills@widgets-ui
# Tool lifecycle UI
npx skills add inference-sh/skills@tools-ui
Documentation
- Agents Overview - Building AI agents
- Agent SDK - Programmatic agent control
- Human-in-the-Loop - Approval flows
- Agents That Generate UI - Building generative UIs
- Agent UX Patterns - Best practices
Component docs: ui.inference.sh/blocks/agent
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