Tracerney

Lightweight prompt injection detection for LLM applications. Runs 100% locally with zero data leaving your server.

🚀 Explore the full platform at tracerney.com — includes dashboard, analytics, API management, and team collaboration tools.

Install

npm install @sandrobuilds/tracerney

Usage

import { Tracerney } from '@sandrobuilds/tracerney';

const tracer = new Tracerney();

const result = await tracer.scanPrompt(userInput);

if (result.suspicious) {
  console.log('⚠️ Suspicious:', result.patternName);
  // Handle flagged prompt (log, block, rate-limit, etc.)
}

What's Included

• 258 embedded attack patterns — real-world injection techniques detected in real-time
• Local detection — <5ms latency per prompt, zero network overhead
• Zero dependencies — single npm package
• Privacy-first — no data leaves your server, 100% local processing

Result Object

Layer 1 (Pattern Detection)

{
  suspicious: boolean;     // true if pattern matched
  patternName?: string;    // e.g., "Ignore Instructions"
  severity?: string;       // "CRITICAL" | "HIGH" | "MEDIUM" | "LOW"
  blocked: boolean;        // false (Layer 1 only marks suspicious)
}

Layer 2 (LLM Sentinel)

{
  action: "BLOCK" | "ALLOW";     // Final decision from LLM Sentinel
  confidence: number;             // 0.0 to 1.0 confidence score
  class: string;                  // Threat classification (e.g., "jailbreak_llm_detected")
  fingerprint: string;            // Unique threat identifier for tracking
}

Detected Patterns

• Instruction overrides ("ignore all instructions")
• Role-play jailbreaks ("act as unrestricted AI")
• Hypothetical constraint bypass ("what would you do without constraints?")
• Context confusion attacks
• Data extraction attempts
• Code execution risks
• And 254 more...

Multi-Layer Runtime Defense

Layer 1: Pattern Matching (Always Free)

• 258 real-world attack patterns in real-time
• <5ms detection on modern hardware
• Zero network overhead
• Local processing only
• Detects: instruction overrides, role-play jailbreaks, context confusion, code execution risks, data extraction attempts, and more

Layer 2: LLM Sentinel (Pro - $9/month)

• AI-powered response verification — LLM-based analysis for novel attack patterns
• Context-aware scanning — understands your application's specific security policies
• Delimiter salting — prevents prompt injection through response boundaries
• Zero prompt storage — responses are analyzed in-memory, never saved or logged
• Structured threat metadata — detailed fingerprints for audit trails and tracking
• Advanced rate limiting — prevents cost spikes with intelligent throttling

Layer 2: LLM Sentinel Deep Dive

Layer 2 adds advanced security with LLM Sentinel, an AI-powered verification system that analyzes LLM responses for injection patterns and validates output safety. Combines local pattern detection (Layer 1) with server-side verification for defense-in-depth protection.

How Layer 1 & Layer 2 Work Together

Enabling Layer 2

Initialize Tracerney with Layer 2 LLM Sentinel (Pro plan required):

const tracer = new Tracerney({
  apiKey: process.env.TRACERNEY_API_KEY,
  sentinelEnabled: true,
});

That's it! Layer 2 is automatically configured to use the hosted LLM Sentinel service. Your API key authenticates requests and verifies your Pro subscription.

Custom Layer 2 Configuration (Advanced)

Want to self-host Layer 2 or use a custom implementation? Override the sentinel endpoint:

const tracer = new Tracerney({
  apiKey: process.env.TRACERNEY_API_KEY,
  sentinelEnabled: true,
  baseUrl: process.env.TRACERNEY_BASE_URL, // e.g., http://localhost:3000 or https://myapp.com
  sentinelEndpoint: process.env.TRACERNEY_SENTINEL_ENDPOINT, // e.g., /api/v1/verify-prompt
});

Self-hosting Layer 2? You can build your own verification endpoint using the same pattern as our hosted service. Contact support for self-hosting guidance.

Scanning with Layer 2

With Layer 2 enabled, scanPrompt validates both input and LLM responses. Handle errors appropriately:

try {
  // Scan input (Layer 1 + Layer 2)
  const result = await tracer.scanPrompt(userInput);
  // If we get here, input is safe. Call LLM
  const llmResponse = await llm.chat(userInput);
  // Verify LLM output wasn't compromised
  const outputCheck = await tracer.verifyOutput(llmResponse);
  return llmResponse;
} catch (err) {
  if (err instanceof ShieldBlockError) {
    return NextResponse.json(
      { error: "Input content is flagged as suspicious" },
      { status: 400 }
    );
  }
  throw err;
}

API Response Format

The verify-prompt endpoint returns structured responses. Success (HTTP 200) includes classification, confidence, and fingerprint. Errors include specific error codes and messages.

✅ Content is Safe (HTTP 200)

{
  "action": "ALLOW",
  "confidence": 0.15,
  "class": "safe_content",
  "fingerprint": "a3f7k2"
}

🔴 Content is Blocked (HTTP 200)

{
  "action": "BLOCK",
  "confidence": 0.99,
  "class": "jailbreak_semantic_pattern",
  "fingerprint": "c1p5n3"
}

⚠️ Quota Exceeded (HTTP 402)

{
  "blocked": true,
  "reason": "scan_limit_exceeded",
  "scansUsed": 50,
  "limit": 50,
  "message": "Free plan limit reached (50/month)..."
}

Pricing & Usage

• Free Tier: 50 scans/month with Layer 1 pattern detection
• Pro Tier: 2,500 scans/month with Layer 1 + Layer 2 LLM verification ($9/month)

Ready for Advanced Protection?

Layer 2 (LLM Sentinel) adds AI-powered verification with context-aware threat detection and zero prompt storage — all responses are analyzed in-memory and immediately discarded.

Start Your Free Trial or Upgrade to Pro at tracerney.com

Includes:

• Dashboard with threat analytics
• API key management
• Team collaboration features
• Detailed threat fingerprints for compliance
• Priority support for Pro members

License

MIT