SKILL.md
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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