`@arcjet/sveltekit`

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 SvelteKit 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

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

Manual setup

Log in with the CLI (or at app.arcjet.com):
```
npx @arcjet/cli auth login
```
npm install @arcjet/sveltekit
Set ARCJET_KEY=ajkey_yourkey in your environment
Add Arcjet to your app — see the quick start below

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

Features

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

Feature	`@arcjet/sveltekit`	`@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 SvelteKit application with bot detection, Shield WAF, and token bucket rate limiting. Arcjet is typically configured in src/hooks.server.ts to run on every request.

// src/hooks.server.ts
import { env } from "$env/dynamic/private";
import arcjet, { detectBot, shield, tokenBucket } from "@arcjet/sveltekit";
import { isSpoofedBot } from "@arcjet/inspect";
import { error, type RequestEvent } from "@sveltejs/kit";

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",
      refillRate: 5, // Refill 5 tokens per interval
      interval: 10, // Refill every 10 seconds
      capacity: 10, // Bucket capacity of 10 tokens
    }),
  ],
});

export async function handle({
  event,
  resolve,
}: {
  event: RequestEvent;
  resolve(event: RequestEvent): Response | Promise<Response>;
}): Promise<Response> {
  const decision = await aj.protect(event, { requested: 5 }); // Deduct 5 tokens
  console.log("Arcjet decision", decision);

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

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

  // 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 error(403, "Forbidden");
  }

  return resolve(event);
}

For the full reference, see the Arcjet SvelteKit 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.

// src/routes/chat/+server.ts
import { env } from "$env/dynamic/private";
import arcjet, { detectPromptInjection } from "@arcjet/sveltekit";
import { error, json, type RequestEvent } from "@sveltejs/kit";

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

export async function POST(event: RequestEvent) {
  const { message } = await event.request.json();

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

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

  // Forward to your AI model...
}

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

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
      ],
    }),
  ],
});

// In your handle or server route:
const decision = await aj.protect(event);

if (decision.isDenied() && decision.reason.isBot()) {
  return error(403, "No bots allowed");
}

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

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 error(403, "Forbidden");
}

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,
  slidingWindow,
  fixedWindow,
} from "@arcjet/sveltekit";

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(event, {
  userId: "user-123",
  requested: estimate, // Number of tokens to deduct
});

if (decision.isDenied() && decision.reason.isRateLimit()) {
  return error(429, "Rate limit exceeded");
}

Sensitive information detection

Detect and block PII in request content. Pass the content to scan via sensitiveInfoValue on each protect() call. Built-in entity types: CREDIT_CARD_NUMBER, EMAIL, PHONE_NUMBER, IP_ADDRESS. You can also provide a custom detect callback for additional patterns.

import arcjet, { sensitiveInfo } from "@arcjet/sveltekit";

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"],
    }),
  ],
});

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

if (decision.isDenied() && decision.reason.isSensitiveInfo()) {
  return error(400, "Sensitive information detected");
}

Shield WAF

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

import arcjet, { shield } from "@arcjet/sveltekit";

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/sveltekit";

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

const decision = await aj.protect(event, {
  email: "user@example.com",
});

if (decision.isDenied() && decision.reason.isEmail()) {
  return error(400, "Invalid email address");
}

Request filters

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

import arcjet, { filter } from "@arcjet/sveltekit";

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(event);

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

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(event);

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

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(event, {
  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.

// src/lib/server/arcjet.ts — create once, import everywhere
import { env } from "$env/dynamic/private";
import arcjet, { shield } from "@arcjet/sveltekit";

export default arcjet({
  key: env.ARCJET_KEY,
  rules: [
    shield({ mode: "LIVE" }), // base rules applied to every request
  ],
});

// src/routes/chat/+server.ts — extend per-route with withRule()
import aj from "$lib/server/arcjet.js";
import { detectBot, tokenBucket } from "@arcjet/sveltekit";
import type { RequestEvent } from "@sveltejs/kit";

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

export async function POST(event: RequestEvent) {
  const decision = await routeAj.protect(event, { requested: 500 });
  // ...
}

Other recommendations:

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
}
```

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`@arcjet/sveltekit`

Why Arcjet?

Getting started

Quick setup with an AI agent

Manual setup

Features

Quick start

Prompt injection detection

Bot protection

Bot categories

Verified vs spoofed bots

Rate limiting

Sensitive information detection

Shield WAF

Email validation

Request filters

Block by country

Block VPN and proxy traffic

IP analysis

Custom characteristics

Best practices

License

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@arcjet/sveltekit

Why Arcjet?

Getting started

Quick setup with an AI agent

Manual setup

Features

Quick start

Prompt injection detection

Bot protection

Bot categories

Verified vs spoofed bots

Rate limiting

Sensitive information detection

Shield WAF

Email validation

Request filters

Block by country

Block VPN and proxy traffic

IP analysis

Custom characteristics

Best practices

License

`@arcjet/sveltekit`