@arcjet/bun

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1.15.0发布于 2026/10/29Apache-2.0TypeScriptES Module构建来源已验证近 30 天下载 4430

Arcjet runtime security SDK for Bun — bot protection, rate limiting, prompt injection detection, PII blocking, and WAF

原始使用文档
文档目录22 节
  1. Why Arcjet?
  2. Getting started
  3. Quick setup with an AI agent
  4. Manual setup
  5. Features
  6. Quick start
  7. Prompt injection detection
  8. Bot protection
  9. Bot categories
  10. Verified vs spoofed bots
  11. Rate limiting
  12. Sensitive information detection
  13. Shield WAF
  14. Email validation
  15. Request filters
  16. Block by country
  17. Block VPN and proxy traffic
  18. IP analysis
  19. Custom characteristics
  20. Best practices
  21. Test
  22. License
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@arcjet/bun

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Arcjet is the runtime security platform that ships in your AI code. Detect prompt injection, authorize agent tool calls, redact sensitive data, and block bots and abuse. Real-time security building blocks you call inside your app, before an action happens.

This is the Arcjet SDK for Bun request protection — use it to protect HTTP route handlers and API endpoints. If you need to protect AI agent tool calls, MCP server handlers, or background jobs (anything without an HTTP request), see @arcjet/guard.

Why Arcjet?

Your app's AI features and agents take real actions, calling tools, reading data, hitting APIs. Arcjet runs inside that code and lets you enforce security on each action in real time, then audit what happened

Getting started

Quick setup with an AI agent

  1. Log in with the CLI:
    npx @arcjet/cli auth login
    
  2. Install versioned Agent Skills so your coding agent matches this SDK:
    npx @tanstack/intent@latest install
    
  3. Tell your agent what to protect — it handles the rest.

Manual setup

  1. Log in with the CLI (or at app.arcjet.com):
    npx @arcjet/cli auth login
    
  2. bun add @arcjet/bun
  3. Set ARCJET_KEY=ajkey_yourkey in your environment
  4. Add Arcjet to your server — see the quick start below

npm package | GitHub source | Full docs | Other SDKs on GitHub

Features

All features below are available with @arcjet/bun for request protection. For guard protection (tool calls, MCP servers, queues) see @arcjet/guard.

Feature@arcjet/bun@arcjet/guard
Rate Limiting✅✅
Prompt Injection Detection✅✅
Sensitive Information Detection✅✅
Bot Protection✅—
Shield WAF✅—
Email Validation✅—
Signup Form Protection✅—
Request Filters✅—
IP Analysis✅—
Custom Rules—✅
  • 🔒 Prompt Injection Detection — detect and block prompt injection attacks before they reach your LLM.
  • 🤖 Bot Protection — stop scrapers, credential stuffers, and AI crawlers from abusing your endpoints.
  • 🛑 Rate Limiting — token bucket, fixed window, and sliding window algorithms; model AI token budgets per user.
  • 🕵️ Sensitive Information Detection — block PII, credit cards, and custom patterns from entering your AI pipeline.
  • 🛡️ Shield WAF — protect against SQL injection, XSS, and other common web attacks.
  • 📧 Email Validation — block disposable, invalid, and undeliverable addresses at signup.
  • 📝 Signup Form Protection — combines bot protection, email validation, and rate limiting to protect your signup forms.
  • 🎯 Request Filters — expression-based rules on IP, path, headers, and custom fields.
  • 🌐 IP Analysis — geolocation, ASN, VPN, proxy, Tor, and hosting detection included with every request.

Quick start

This example protects a Bun HTTP server with bot detection, Shield WAF, and token bucket rate limiting.

// index.ts
import arcjet, { detectBot, shield, tokenBucket } from "@arcjet/bun";
import { isSpoofedBot } from "@arcjet/inspect";
import { env } from "bun";

const aj = arcjet({
  key: env.ARCJET_KEY!, // Get your key with: npx @arcjet/cli sites get-key
  rules: [
    // Shield protects your app from common attacks e.g. SQL injection
    shield({ mode: "LIVE" }),
    // Create a bot detection rule
    detectBot({
      mode: "LIVE", // Blocks requests. Use "DRY_RUN" to log only
      // Block all bots except the following
      allow: [
        "CATEGORY:SEARCH_ENGINE", // Google, Bing, etc
        // Uncomment to allow these other common bot categories
        // See the full list at https://arcjet.com/bot-list
        //"CATEGORY:MONITOR", // Uptime monitoring services
        //"CATEGORY:PREVIEW", // Link previews e.g. Slack, Discord
      ],
    }),
    // Token bucket rate limit. Other algorithms are supported.
    tokenBucket({
      mode: "LIVE",
      // Tracked by IP address by default, but this can be customized
      // See https://docs.arcjet.com/fingerprints
      refillRate: 5, // Refill 5 tokens per interval
      interval: 10, // Refill every 10 seconds
      capacity: 10, // Bucket capacity of 10 tokens
    }),
  ],
});

export default {
  port: 3000,
  fetch: aj.handler(async (req) => {
    const decision = await aj.protect(req, { requested: 5 }); // Deduct 5 tokens
    console.log("Arcjet decision", decision);

    if (decision.isDenied()) {
      if (decision.reason.isRateLimit()) {
        return new Response("Too many requests", { status: 429 });
      } else if (decision.reason.isBot()) {
        return new Response("No bots allowed", { status: 403 });
      } else {
        return new Response("Forbidden", { status: 403 });
      }
    }

    // Requests from hosting IPs are likely from bots.
    // https://docs.arcjet.com/blueprints/vpn-proxy-detection
    if (decision.ip.isHosting()) {
      return new Response("Forbidden", { status: 403 });
    }

    // Verifies the authenticity of common bots using IP data.
    // Verification isn't always possible, so check the results separately.
    // https://docs.arcjet.com/bot-protection/reference#bot-verification
    if (decision.results.some(isSpoofedBot)) {
      return new Response("Forbidden", { status: 403 });
    }

    return new Response("Hello world");
  }),
};

For the full reference, see the Arcjet Bun SDK docs.

Prompt injection detection

Detect and block prompt injection attacks — attempts to override your AI model's instructions — before they reach your model. Pass the user's message via detectPromptInjectionMessage on each protect() call.

import arcjet, { detectPromptInjection } from "@arcjet/bun";
import { env } from "bun";

const aj = arcjet({
  key: env.ARCJET_KEY!,
  rules: [
    detectPromptInjection({
      mode: "LIVE", // Blocks requests. Use "DRY_RUN" to log only
    }),
  ],
});

export default {
  fetch: aj.handler(async (req) => {
    const { message } = await req.json();

    const decision = await aj.protect(req, {
      detectPromptInjectionMessage: message,
    });

    if (decision.isDenied() && decision.reason.isPromptInjection()) {
      return new Response(
        "Prompt injection detected — please rephrase your message",
        { status: 400 },
      );
    }

    // Forward to your AI model...
    return new Response("OK");
  }),
};

Bot protection

Arcjet allows you to configure a list of bots to allow or deny. Specifying allow means all other bots are denied. An empty allow list blocks all bots.

Available categories: CATEGORY:ACADEMIC, CATEGORY:ADVERTISING, CATEGORY:AI, CATEGORY:AMAZON, CATEGORY:APPLE, CATEGORY:ARCHIVE, CATEGORY:BOTNET, CATEGORY:FEEDFETCHER, CATEGORY:GOOGLE, CATEGORY:META, CATEGORY:MICROSOFT, CATEGORY:MONITOR, CATEGORY:OPTIMIZER, CATEGORY:PREVIEW, CATEGORY:PROGRAMMATIC, CATEGORY:SEARCH_ENGINE, CATEGORY:SLACK, CATEGORY:SOCIAL, CATEGORY:TOOL, CATEGORY:UNKNOWN, CATEGORY:VERCEL, CATEGORY:WEBHOOK, CATEGORY:YAHOO. You can also allow or deny specific bots by name.

import arcjet, { detectBot } from "@arcjet/bun";
import { isSpoofedBot } from "@arcjet/inspect";
import { env } from "bun";

const aj = arcjet({
  key: env.ARCJET_KEY!,
  rules: [
    detectBot({
      mode: "LIVE",
      allow: [
        "CATEGORY:SEARCH_ENGINE",
        // See the full list at https://arcjet.com/bot-list
      ],
    }),
  ],
});

export default {
  fetch: aj.handler(async (req) => {
    const decision = await aj.protect(req);

    if (decision.isDenied() && decision.reason.isBot()) {
      return new Response("No bots allowed", { status: 403 });
    }

    // Verifies the authenticity of common bots using IP data.
    if (decision.results.some(isSpoofedBot)) {
      return new Response("Forbidden", { status: 403 });
    }

    return new Response("Hello world");
  }),
};

Bot categories

Bots can be configured by category and/or by specific bot name. For example, to allow search engines and the OpenAI crawler, but deny all other bots:

detectBot({
  mode: "LIVE",
  allow: ["CATEGORY:SEARCH_ENGINE", "OPENAI_CRAWLER_SEARCH"],
});

Verified vs spoofed bots

Bots claiming to be well-known crawlers (e.g. Googlebot) are verified by checking their IP address against known IP ranges. If a bot fails verification, it is labeled as spoofed. Use isSpoofedBot from @arcjet/inspect to check:

import { isSpoofedBot } from "@arcjet/inspect";

if (decision.results.some(isSpoofedBot)) {
  return new Response("Forbidden", { status: 403 });
}

Rate limiting

Arcjet supports token bucket, fixed window, and sliding window algorithms. Token buckets are ideal for controlling AI token budgets — set capacity to the max tokens a user can spend, refillRate to how many tokens are restored per interval, and deduct tokens per request via requested in protect(). The interval accepts strings ("1s", "1m", "1h", "1d") or seconds as a number. Use characteristics to track limits per user instead of per IP.

import arcjet, { tokenBucket } from "@arcjet/bun";
import { env } from "bun";

const aj = arcjet({
  key: env.ARCJET_KEY!,
  characteristics: ["userId"], // Track per user
  rules: [
    tokenBucket({
      mode: "LIVE",
      refillRate: 2_000, // Refill 2,000 tokens per hour
      interval: "1h",
      capacity: 5_000, // Maximum 5,000 tokens in the bucket
    }),
  ],
});

const decision = await aj.protect(req, {
  userId: "user-123",
  requested: estimate, // Number of tokens to deduct
});

if (decision.isDenied() && decision.reason.isRateLimit()) {
  return new Response("Rate limit exceeded", { status: 429 });
}

Sensitive information detection

Detect and block PII in request content on-device with @arcjet/sensitive-info-rampart, which runs the Rampart named-entity-recognition model locally, so no data leaves your environment. Pass the content to scan via sensitiveInfoValue on each protect() call. Rampart detects names, addresses, government and financial identifiers, email addresses, phone numbers, IP addresses, and card numbers. Add a recognizer to detect custom patterns.

bun add @arcjet/sensitive-info-rampart
import arcjet, { sensitiveInfo } from "@arcjet/bun";
import { rampart } from "@arcjet/sensitive-info-rampart";
import { env } from "bun";

const aj = arcjet({
  key: env.ARCJET_KEY!,
  rules: [
    sensitiveInfo({
      mode: "LIVE", // Blocks requests. Use "DRY_RUN" to log only
      deny: ["CREDIT_CARD_NUMBER", "EMAIL", "PHONE_NUMBER"],
      backend: rampart(),
    }),
  ],
});

const decision = await aj.protect(req, {
  sensitiveInfoValue: userMessage, // The text content to scan
});

if (decision.isDenied() && decision.reason.isSensitiveInfo()) {
  return new Response("Sensitive information detected", { status: 400 });
}

Shield WAF

Protect your application against common web attacks, including the OWASP Top 10.

import arcjet, { shield } from "@arcjet/bun";
import { env } from "bun";

const aj = arcjet({
  key: env.ARCJET_KEY!,
  rules: [
    shield({
      mode: "LIVE", // Blocks requests. Use "DRY_RUN" to log only
    }),
  ],
});

Email validation

Validate and verify email addresses. Deny types: DISPOSABLE, FREE, NO_MX_RECORDS, NO_GRAVATAR, INVALID.

import arcjet, { validateEmail } from "@arcjet/bun";
import { env } from "bun";

const aj = arcjet({
  key: env.ARCJET_KEY!,
  rules: [
    validateEmail({
      mode: "LIVE",
      deny: ["DISPOSABLE", "INVALID", "NO_MX_RECORDS"],
    }),
  ],
});

const decision = await aj.protect(req, {
  email: "[email protected]",
});

if (decision.isDenied() && decision.reason.isEmail()) {
  return new Response("Invalid email address", { status: 400 });
}

Request filters

Filter requests using expression-based rules against request properties (IP, headers, path, method, etc.).

import arcjet, { filter } from "@arcjet/bun";
import { env } from "bun";

const aj = arcjet({
  key: env.ARCJET_KEY!,
  rules: [
    filter({
      mode: "LIVE",
      deny: ['ip.src == "1.2.3.4"'],
    }),
  ],
});

Block by country

Restrict access to specific countries — useful for licensing, compliance, or regional rollouts. The allow list denies all countries not listed:

filter({
  mode: "LIVE",
  // Allow only US traffic — all other countries are denied
  allow: ['ip.src.country == "US"'],
});

Block VPN and proxy traffic

Prevent anonymized traffic from accessing sensitive endpoints — useful for fraud prevention, enforcing geo-restrictions, and reducing abuse:

filter({
  mode: "LIVE",
  deny: [
    "ip.src.vpn", // VPN services
    "ip.src.proxy", // Open proxies
    "ip.src.tor", // Tor exit nodes
  ],
});

For more nuanced handling, use decision.ip helpers after calling protect():

const decision = await aj.protect(req);

if (decision.ip.isVpn() || decision.ip.isTor()) {
  return new Response("VPN traffic not allowed", { status: 403 });
}

See the Request Filters docs, IP Geolocation blueprint, and VPN/Proxy Detection blueprint for more details.

IP analysis

Arcjet enriches every request with IP metadata. Use these helpers to make policy decisions based on network signals:

const decision = await aj.protect(req);

if (decision.ip.isHosting()) {
  // Requests from cloud/hosting providers are often automated.
  // https://docs.arcjet.com/blueprints/vpn-proxy-detection
  return new Response("Forbidden", { status: 403 });
}

if (decision.ip.isVpn() || decision.ip.isProxy() || decision.ip.isTor()) {
  // Handle VPN/proxy traffic according to your policy
}

// Access geolocation and network details
console.log(decision.ip.country, decision.ip.city, decision.ip.asn);

Custom characteristics

Track and limit requests by any stable identifier — user ID, API key, session, etc. — rather than IP address alone.

const aj = arcjet({
  key: env.ARCJET_KEY!,
  characteristics: ["userId"], // Declare at the SDK level
  rules: [
    tokenBucket({
      mode: "LIVE",
      refillRate: 2_000,
      interval: "1h",
      capacity: 5_000,
    }),
  ],
});

// Pass the characteristic value at request time
const decision = await aj.protect(req, {
  userId: "user-123", // Replace with your actual user ID
  requested: estimate,
});

Best practices

See the Arcjet best practices for detailed guidance. Key recommendations:

Create a single client instance and reuse it with withRule() for route-specific rules. The SDK caches decisions and configuration, so creating a new instance per request wastes that work.

// lib/arcjet.ts — create once, import everywhere
import arcjet, { shield } from "@arcjet/bun";
import { env } from "bun";

export default arcjet({
  key: env.ARCJET_KEY!,
  rules: [
    shield({ mode: "LIVE" }), // base rules applied to every request
  ],
});
// routes/chat.ts — extend per-route with withRule()
import aj from "./lib/arcjet.js";
import { detectBot, tokenBucket } from "@arcjet/bun";

const routeAj = aj.withRule(detectBot({ mode: "LIVE", allow: [] })).withRule(
  tokenBucket({
    mode: "LIVE",
    refillRate: 2_000,
    interval: "1h",
    capacity: 5_000,
  }),
);

export async function handler(req: Request) {
  const decision = await routeAj.protect(req, { requested: 500 });
  // ...
}

Other recommendations:

  • Call protect() once per request in the handler where you need it.
  • Start rules in DRY_RUN mode to observe behavior before switching to LIVE. This lets you tune thresholds without affecting real traffic.
  • Configure proxies if your app runs behind a load balancer or reverse proxy so Arcjet resolves the real client IP:
    arcjet({ key: env.ARCJET_KEY!, rules: [], proxies: ["100.100.100.100"] });
    
  • Handle errors explicitly. protect() never throws — on error it returns an ERROR result. Fail open by logging and allowing the request:
    if (decision.isErrored()) {
      console.error("Arcjet error", decision.reason.message);
      // allow the request to proceed
    }
    

Test

This monorepo is tested with Node.js but this package targets Bun. Run the tests from this package folder with:

bun test

License

Apache License, Version 2.0 © Arcjet Labs, Inc.

版本与发布记录

@arcjet/bun 共发布 66 个版本,首次发布于 2024/05/20;过去 12 个月发布了 30 个版本。最新版本附带 npm provenance 构建来源证明,可追溯到公开的 CI 构建记录。

版本发布日期距今
1.15.0latest2026/10/298 天前
1.14.12026/10/0730 天前
1.14.02026/10/021 个月前
1.13.02026/09/171 个月前
1.12.02026/09/091 个月前
1.11.02026/08/272 个月前

其他发布通道:rc → 1.10.0-rc.1。

关于 @arcjet/bun 的常见问题

@arcjet/bun 是什么?

Arcjet runtime security SDK for Bun — bot protection, rate limiting, prompt injection detection, PII blocking, and WAF

如何安装 @arcjet/bun?

在项目目录运行 npm install @arcjet/bun,或使用 pnpm add / yarn add / bun add。

@arcjet/bun 支持 TypeScript 吗?

支持。包内自带 TypeScript 类型声明(package.json 声明了 types 入口),安装后即可获得类型提示,无需再安装 @types 包。

@arcjet/bun 支持 ESM 还是 CommonJS?

以 ES Module 形式发布,推荐使用 import 引入。在 CommonJS 项目中,Node.js 20.19+ / 22.12+ 可以直接 require() 不含顶层 await 的 ES Module,更早的版本需要改用动态 import()。

@arcjet/bun 可以商用吗?

@arcjet/bun 使用 Apache-2.0 许可。宽松许可:允许商业使用、修改和再分发,并附带明确的专利授权;分发时需保留许可与 NOTICE 文件,修改过的文件要注明改动。以上为概括,不构成法律意见,请以许可原文为准。

@arcjet/bun 的下载量有多少?

根据 npm 官方下载统计,@arcjet/bun 在 2026/10/07 – 2026/11/05 这 30 天内被下载 4,430 次,日均约 148 次。下载量会把 CI 构建、镜像同步和作为其他包依赖的安装一并计入,适合横向比较热度,不能直接等同于使用人数。

@arcjet/bun 还在维护吗?

最新版本 1.15.0 发布于 2026/10/29(8 天前);至今共发布 66 个版本,其中过去 12 个月发布了 30 个;首次发布于 2024/05/20。发布频率只是参考信号:功能稳定的工具可能很少需要更新,建议结合源码仓库的 issue 和提交记录判断。