AIR SDK

io.github.ArcedeDev由 GitHub 账号 ArcedeDev 发布v0.2.12更新于 Oct 24, 2026

Collective intelligence for browser automation agents. Site capabilities, selectors, and extraction.

概览

AI 生成的概览

为浏览器自动化代理提供预先验证的站点能力、CSS 选择器和结构化提取,使其无需猜测 DOM 即可操作。

可以做什么
AIR SDK 提供用于发现网站可自动化操作的工具,返回带 CSS 选择器和回退方案的执行计划,从 URL 提取结构化数据,并从本地或远程文件(如 PDF、DOCX、XLSX、CSV)提取文本。它还接受执行结果上报,以改进共享的站点情报。它以 stdio 本地 MCP 服务器方式运行,可包装现有的 Playwright、Puppeteer 或 Browser Use 页面。
适用场景
适用于构建或运行浏览器自动化代理、需要反复检查页面并判断点击哪些元素的场景,用选择器查询和能力发现替代 LLM 的 DOM 推理。它属于早期研究预览版,应视为实验性功能。
运行要求
需要 Node.js 18 或更高版本。需要来自服务商控制台的 AIR_API_KEY,通过环境变量提供或保存在本地凭据文件中。可选的对等依赖为 Playwright、Puppeteer 或 Browser Use。需要访问服务商 API 的网络连接。免费额度为每月 1,000 次执行。
安装前请注意
需要 AIR_API_KEY 密钥,install-skill 命令会将其写入代理配置文件。付费套餐和可选的 x402 小额支付会产生费用,可配置单次请求和单次会话上限以及自动批准。SDK 会观察页面操作并将站点和选择器数据发送给服务商;其声明不会发送输入值、Cookie 和个人身份信息。该产品为早期研究预览版。

安装

在 SourceWeft 中

  1. 打开 控制台中的 AIR SDK,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

AIR SDK

Collective intelligence for agents. Stop your agents from guessing how to use the web. Let them know what to do. Think; hive mind. Let's make the open agent internet.

[npm version] [downloads] [license] [docs] [tests] [typescript strict]

Install · Quick Start · Why · Agent Skill · Docs


Your browser agent wastes tokens and time every time it asks an LLM what to click. AIR SDK replaces guessing with knowing. This is an early research preview.

Up to 7,000x cost reduction and 280x faster vs frontier models. One function call. Zero code changes.

Benchmarks

Measured across 8 major domains, 40 cold API calls, cache disabled. LLM baseline priced at Frontier Model ($15/$75 per M tokens). AIR SDK at Scale tier ($149/mo, 250K executions).

ScenarioLLM DOM Reasoning (Frontier Model)AIR SDK (Macro Path)Savings
1 browser action~$0.24, ~4s, ~10K tokens (2 LLM round trips to inspect DOM and act)$0.0006, 178ms, 0 tokens400x cost reduction, 22x faster
10 browser actionsUp to ~$4, ~50s, ~175K tokens (25 LLM round trips as context grows)$0.0006, 178ms, 0 tokensUp to 7,000x cost reduction, 280x faster

The more complex the workflow, the more you save. LLM costs compound — every action adds to the conversation context, making each subsequent round trip more expensive. AIR's macro path is always one API call, regardless of how many steps the workflow has.

Methodology & raw data

LLM baseline: Agent inspects page DOM, reasons about which elements to interact with, generates tool calls. Frontier Model pricing ($15/M input, $75/M output).

  • 1 action: ~4,000 input + 800 output tokens x 2 round trips = ~9,600 tokens, ~$0.24, ~4s reasoning time.
  • 10 actions: Context grows with each action (conversation history accumulates). Average ~6,000 input + 1,000 output tokens x 2.5 round trips per action = 25 total LLM calls, ~175,000 tokens, ~$4.13, ~50s reasoning time.
  • Sonnet 4 comparison: 5x cheaper per token — 1 action: ~$0.05, 10 actions: ~$0.83. Still 80–1,400x more expensive than AIR at Scale.

AIR SDK macro path: Pre-verified CSS selectors returned via API. Agent executes directly — no DOM inspection, no LLM reasoning. Cost = plan price / included executions.

Raw API latency (40 measurements, cache disabled):

  • browse_capabilities: 180ms median, 148ms min, 421ms p95
  • execute_capability: 178ms median, 146ms min, 333ms p95
  • Combined: 354ms median, 304ms min, 1010ms p95

Cost per action by tier:

TierPriceIncludedEffective cost
Free$01,000/mo$0
Pro$49/mo25,000/mo$0.0020
Scale$149/mo250,000/mo$0.0006

Capabilities discovered: 16 avg per domain (range: 3–39)

Last run: 2026-03-20 | Run benchmark yourself: npx tsx benchmark/run.ts

Prerequisites

Install

bash
npm install @arcede/air-sdknpx @arcede/air-sdk init   # saves key to ~/.config/air/credentials.json

Agent Skill (recommended for AI coding agents):

bash
npx @arcede/air-sdk install-skill   # auto-configures Claude Desktop, Claude Code, Cursor, Windsurf, OpenClaw

Free tier included. No credit card. Make the network smarter, star the repo and share it ⭐

Lightweight Alternatives

Don't need the full SDK? We publish standalone packages for common use cases:

PackageInstallUse case
@arcede/air-mcpnpx @arcede/air-mcpMCP server only — add AIR tools to Claude Code, Cursor, or Windsurf without the full SDK
@arcede/air-clinpx @arcede/air-cliTerminal CLI — extract data and query capabilities from the command line
@arcede/extractnpm i @arcede/extractTyped TypeScript client for the Extract API only
@arcede/capabilitiesnpm i @arcede/capabilitiesTyped TypeScript client for the Capability API only

Quick Start

Wrap your existing Playwright page. Nothing else changes.

typescript
import { chromium } from 'playwright';import { withAIR } from '@arcede/air-sdk/playwright';
const browser = await chromium.launch();const page = await browser.newPage();const smartPage = withAIR(page, { apiKey: process.env.AIR_API_KEY });
// Your existing code — now with site intelligenceawait smartPage.goto('https://example.com');await smartPage.fill('#search', 'flights to tokyo');await smartPage.click('.search-btn');
// Know what's possible on any site before writing automationconst capabilities = await smartPage.air.listCapabilities('example.com');

Also works with Puppeteer and Browser Use:

typescript
// Puppeteerimport { withAIR } from '@arcede/air-sdk/puppeteer';const page = withAIR(await browser.newPage(), { apiKey: process.env.AIR_API_KEY });
// Browser Useimport { AIRPlugin } from '@arcede/air-sdk/browser-use';const agent = Agent({ plugins: [new AIRPlugin({ apiKey: process.env.AIR_API_KEY })] });

Why

Browser automation is fragile. Selectors break. Sites change. Your agent has no idea what's possible until it's already on the page.

AIR SDK gives your agent three things:

WhatHow
Site intelligenceKnow what actions are possible on any website — search, purchase, login, browse — before your agent navigates there.
Resilient selectorsWhen a selector fails, the SDK automatically resolves fallback alternatives so your automation doesn't break.
Continuous learningThe platform gets smarter over time, improving reliability and coverage across the web.

How it works: Wrap your page with withAIR(). The SDK observes actions, resolves selectors, and preloads site capabilities. Your code doesn't change — it just works better.

Privacy-first: Input values, cookies, and PII are never sent. See our privacy docs →

Credential Management

API keys are stored at ~/.config/air/credentials.json with 0600 permissions (owner read/write only).

bash
npx @arcede/air-sdk init       # Save your key (opens dashboard)npx @arcede/air-sdk whoami     # Show current key, source, and agent statusnpx @arcede/air-sdk logout     # Remove key from all locations

Key resolution order: AIR_API_KEY env var → ~/.config/air/credentials.json → .env in current directory.

Agent Skill

Give your coding agent site intelligence with one command:

bash
npx @arcede/air-sdk install-skill

This auto-detects Claude Desktop, Claude Code, Cursor, Windsurf, and OpenClaw, writes the MCP server config, and injects your API key. It installs @arcede/air-sdk globally for fast agent startup (~2s instead of ~60s with npx) and writes the absolute binary path to each config to avoid npx version caching issues. Restart your agent and it instantly has new tools.

Manual setup (Claude Desktop, Claude Code, Cursor, Windsurf, OpenClaw)

Requires global install: npm install -g @arcede/air-sdk. If not installed globally, replace "command": "air-sdk" with "command": "npx" and "args": ["--mcp"] with "args": ["-y", "@arcede/air-sdk", "--mcp"].

Claude Desktop — add to ~/Library/Application Support/Claude/claude_desktop_config.json:

json
{  "mcpServers": {    "air-sdk": {      "command": "air-sdk",      "args": ["--mcp"],      "env": { "AIR_API_KEY": "air_xxx" }    }  }}

Claude Code:

bash
claude mcp add air-sdk -e AIR_API_KEY=your_key_here -- air-sdk --mcp

Cursor — add to ~/.cursor/mcp.json:

json
{  "mcpServers": {    "air-sdk": {      "command": "air-sdk",      "args": ["--mcp"],      "env": { "AIR_API_KEY": "air_xxx" }    }  }}

Windsurf — add to ~/.codeium/windsurf/mcp_config.json:

json
{  "mcpServers": {    "air-sdk": {      "command": "air-sdk",      "args": ["--mcp"],      "env": { "AIR_API_KEY": "air_xxx" }    }  }}

OpenClaw — add to ~/.openclaw/openclaw.json:

json
{  "mcpServers": {    "air-sdk": {      "command": "air-sdk",      "args": ["--mcp"],      "env": { "AIR_API_KEY": "air_xxx" }    }  }}

Tools available:

ToolDescription
extract_urlExtract structured data from any URL — JSON-LD, RSS/Atom feeds, JSON APIs, SPAs. Meta-only results cost 0 credits.
browse_capabilitiesDiscover what actions can be automated on a website. Returns confidence scores, tiers, selectors, and universal patterns.
execute_capabilityGet a structured execution plan with CSS selectors, fallbacks, and pattern-matched guidance.
report_outcomeReport execution results with optional browserObservations to improve collective intelligence.
extract_contentExtract text and structured sections from local files or remote file URLs such as PDFs, DOCX, PPTX, XLSX, CSV, TXT, MD, HTML, and EML.

OpenAI Skill

AIR SDK is also available as an OpenAI hosted shell skill for gpt-5.4 and gpt-5.4-mini:

bash
# Package and uploadcd air-sdk/openai-skillzip -r /tmp/air-sdk-skill.zip .curl -X POST 'https://api.openai.com/v1/skills' \  -H "Authorization: Bearer $OPENAI_API_KEY" \  -F 'files=@/tmp/air-sdk-skill.zip'

Then use in the Responses API:

json
{  "model": "gpt-5.4-mini",  "tools": [{    "type": "shell",    "environment": {      "type": "container_auto",      "skills": [{ "type": "skill_reference", "skill_id": "<your_skill_id>" }],      "network_policy": {        "type": "allowlist",        "allowed_domains": ["agentinternetruntime.com", "api.agentinternetruntime.com"],        "domain_secrets": [          { "domain": "api.agentinternetruntime.com", "name": "AIR_API_KEY", "value": "<key>" },          { "domain": "api.agentinternetruntime.com", "name": "Authorization", "value": "Bearer <key>" }        ]      }    }  }]}

Requires api.agentinternetruntime.com in your org network allowlist.

Configuration

typescript
withAIR(page, {  apiKey: process.env.AIR_API_KEY,  // Required  cacheEnabled: true,                // Local capability cache (default: true)  cacheTTLMs: 1_800_000,            // Cache TTL in ms (default: 30 min)  debug: false,                      // Log debug info (default: false)});

Machine Payments Protocol

AIR SDK supports x402 micropayments, enabling your agent to pay for premium site access without pre-registration:

typescript
const smartPage = withAIR(page, {  apiKey: process.env.AIR_API_KEY,  mpp: {    enabled: true,    paymentMethod: 'stripe_spt',    credential: 'spt_...',    maxPerRequest: 0.50,    maxPerSession: 5.00,    autoApprove: true,  },});

Examples

See examples/agents/ for working agent examples:

  • Research Agent — Multi-source research with capability-aware navigation
  • Price Comparison — Cross-site price monitoring with resilient selectors
  • Capability Scout — Discover and map capabilities across domains
  • Site Monitor — Track site changes with resilient selectors

Contributing

See CONTRIBUTING.md. PRs welcome.

Links

License

MIT

来源:README.md,提交 e487230

工具

0
SourceWeft 尚未在沙箱中启动过该软件包,因此其工具未知。

版本历史

1
  1. v0.2.12最新Sep 16, 2026

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