Files
openclaw/skills/agent-ui/SKILL.md
root 7b2aa28545 紧急优化完成:修复State dir权限并创建媛媛独立session
- 修复State dir安全问题:chmod 700 /root/.clawdbot
- 为媛媛创建独立WhatsApp session:agent:main:yuanyuan
- 上下文完全隔离:媛媛不再处理淇淇和领导的大量历史
- 响应速度预期提升:从处理137k token(67%)到0% token(干净session)
- 创建优化执行报告:urgent-optimization-plan.md
- 创建优化完成报告:optimization-execution-report.md
- 效果预期:响应速度提升3-5倍,上下文质量显著改善

紧急优化已完成!请指示下一步任务或开始nanoclaw调研。
2026-02-09 15:15:25 +08:00

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Markdown

---
name: agent-ui
description: |
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
---
# Agent Component
Batteries-included agent component from [ui.inference.sh](https://ui.inference.sh).
## Quick Start
```bash
# 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)
```typescript
// app/api/inference/proxy/route.ts
import { route } from '@inferencesh/sdk/proxy/nextjs';
export const { GET, POST, PUT } = route;
```
### 2. Environment Variable
```bash
# .env.local
INFERENCE_API_KEY=inf_...
```
### 3. Use the Component
```tsx
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
```tsx
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
```bash
# Chat UI building blocks
npx skills add inference-sh/agent-skills@chat-ui
# Declarative widgets from JSON
npx skills add inference-sh/agent-skills@widgets-ui
# Tool lifecycle UI
npx skills add inference-sh/agent-skills@tools-ui
```
## Documentation
- [Agents Overview](https://inference.sh/docs/agents/overview) - Building AI agents
- [Agent SDK](https://inference.sh/docs/api/agent/overview) - Programmatic agent control
- [Human-in-the-Loop](https://inference.sh/docs/runtime/human-in-the-loop) - Approval flows
- [Agents That Generate UI](https://inference.sh/blog/ux/generative-ui) - Building generative UIs
- [Agent UX Patterns](https://inference.sh/blog/ux/agent-ux-patterns) - Best practices
Component docs: [ui.inference.sh/blocks/agent](https://ui.inference.sh/blocks/agent)