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promptworx-sdk

v0.1.2

Published

Fire-and-forget LLM security telemetry SDK — log every AI interaction to Sentinel for real-time threat detection

Downloads

367

Readme

promptworx-sdk

Fire-and-forget LLM security telemetry SDK. Log every AI interaction to Sentinel for real-time prompt injection detection, PII monitoring, and data exfiltration alerting.

Install

npm install promptworx-sdk
# or
pnpm add promptworx-sdk
# or
yarn add promptworx-sdk

Quick Start

import { Telemetry } from "promptworx-sdk";

const sentinel = new Telemetry({
  apiKey:    process.env.SENTINEL_API_KEY!,
  projectId: process.env.SENTINEL_PROJECT_ID!,
  endpoint:  "https://promptworx.exception.digital/api",
});

// After every LLM call
sentinel.logEvent({
  userMessage:    userInput,
  modelResponse:  llmOutput,
  userIdentifier: req.user?.id,
  modelName:      "gpt-4o",
  latencyMs:      Date.now() - start,
});

// Flush remaining events on shutdown
process.on("SIGTERM", async () => {
  await sentinel.flush();
  sentinel.destroy();
});

Configuration

const sentinel = new Telemetry({
  apiKey:          "sk_live_...",   // Required — from Sentinel dashboard → Settings
  projectId:       "uuid",          // Required — from Sentinel dashboard → Settings
  endpoint:        "https://...",   // Default: http://localhost:3000/api
  flushIntervalMs: 5000,            // Default: 5 000 ms  — how often to batch-send
  maxBatchSize:    50,              // Default: 50        — send early when buffer is full
});

Logging Events

sentinel.logEvent({
  // Required
  userMessage: "What is the weather in Paris?",

  // Optional — all fields improve detection quality
  userIdentifier:   "user-123",          // groups incidents per user
  modelName:        "gpt-4o-mini",
  modelResponse:    "The weather is...",
  latencyMs:        342,
  tokenCounts: {
    prompt:     120,
    completion: 80,
    total:      200,
  },

  // Pass retrieved RAG chunks for context-aware detection
  retrievedContext: [
    { content: "...", source: "docs/policy.md" },
  ],

  // Attach your own pre-computed verdicts (merged with server-side results)
  verdicts: {
    injection_flag: false,
    pii_flag:       false,
  },

  correlationId: req.headers["x-request-id"],  // links to APM traces
  timestamp:     new Date().toISOString(),       // default: server ingestion time
});

How It Works

  • Events are buffered in memory and sent in batches automatically.
  • The SDK never throws into your application — all errors are swallowed internally.
  • On the server, Sentinel runs built-in detection rules (prompt injection, PII, data exfiltration) and any custom rules you configure, then groups flagged events into incidents.
  • If you configure webhooks, Sentinel fires a signed HTTP POST to your endpoint whenever rules trigger.

Manual Flush

// Force-send all buffered events now (e.g. before a cold-start function returns)
await sentinel.flush();

Cleanup

// Stop the background timer and flush remaining events
sentinel.destroy();

TypeScript

The SDK ships with full TypeScript definitions. All event fields are typed:

import type { LogEventInput, TelemetryConfig, Verdict, TokenCounts } from "promptworx-sdk";

License

MIT