agent-ui
Installation
Summary
Drop-in React/Next.js agent component with runtime, tools, streaming, and human-in-the-loop approvals built in.
- Single component handles agent execution, tool lifecycle management, real-time token streaming, and approval flows without backend logic
- Supports client-side tools that run in the browser, file and image uploads, and declarative JSON widgets for agent-generated UI
- Includes API proxy route setup for Next.js and configurable agent parameters like model selection, system prompts, and tool definitions
- Human-in-the-loop approval system lets you gate tool execution with pending, progress, and results states
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