ruvector/crates/ruvector-tiny-dancer-wasm

Ruvector Tiny Dancer WASM

WebAssembly bindings for Tiny Dancer neural routing.

ruvector-tiny-dancer-wasm brings production-grade AI agent routing to the browser with WebAssembly. Run FastGRNN neural inference for intelligent request routing directly in client-side applications. Part of the Ruvector ecosystem.

Why Tiny Dancer WASM?

• Browser Native: Run neural routing in any browser
• Low Latency: Sub-millisecond inference times
• Small Bundle: Optimized WASM binary (~100KB gzipped)
• Offline Capable: No server required for inference
• Privacy First: Route decisions stay client-side

Features

Core Capabilities

• Neural Inference: FastGRNN model execution
• Feature Engineering: Request feature extraction
• Multi-Agent Routing: Score and rank agent candidates
• Model Loading: Load pre-trained models
• Batch Inference: Process multiple requests

Advanced Features

• Web Workers: Background inference threads
• Streaming: Process streaming requests
• Model Caching: IndexedDB model persistence
• Quantization: INT8 models for smaller size
• SIMD: Hardware acceleration when available

Installation

npm install @ruvector/tiny-dancer-wasm
# or
yarn add @ruvector/tiny-dancer-wasm

Quick Start

Basic Usage

import init, { TinyDancer, RouteRequest } from '@ruvector/tiny-dancer-wasm';

// Initialize WASM module
await init();

// Create router instance
const router = new TinyDancer();

// Load pre-trained model
await router.loadModel('/models/router-v1.bin');

// Create routing request
const request: RouteRequest = {
  query: "What is the weather like today?",
  context: {
    userId: "user-123",
    sessionLength: 5,
    previousAgent: "general",
  },
  agents: ["weather", "general", "calendar", "search"],
};

// Get routing decision
const result = await router.route(request);
console.log(`Route to: ${result.agent} (confidence: ${result.confidence})`);

With Web Workers

import { TinyDancerWorker } from '@ruvector/tiny-dancer-wasm/worker';

// Create worker-based router (non-blocking)
const router = new TinyDancerWorker();

// Initialize in background
await router.init();
await router.loadModel('/models/router-v1.bin');

// Route without blocking main thread
const result = await router.route(request);

Feature Engineering

import { FeatureExtractor } from '@ruvector/tiny-dancer-wasm';

const extractor = new FeatureExtractor();

// Extract features from request
const features = extractor.extract({
  query: "Book a flight to Paris",
  tokens: 6,
  language: "en",
  sentiment: 0.7,
  entities: ["Paris"],
});

console.log(`Feature vector: ${features.length} dimensions`);

API Reference

TinyDancer Class

class TinyDancer {
  constructor();

  // Model management
  loadModel(url: string): Promise<void>;
  loadModelFromBuffer(buffer: Uint8Array): void;

  // Routing
  route(request: RouteRequest): Promise<RouteResult>;
  routeBatch(requests: RouteRequest[]): Promise<RouteResult[]>;

  // Scoring
  scoreAgents(request: RouteRequest): Promise<AgentScore[]>;

  // Info
  getModelInfo(): ModelInfo;
  isReady(): boolean;
}

Types

interface RouteRequest {
  query: string;
  context?: Record<string, any>;
  agents: string[];
  constraints?: RouteConstraints;
}

interface RouteResult {
  agent: string;
  confidence: number;
  scores: Record<string, number>;
  latencyMs: number;
}

interface AgentScore {
  agent: string;
  score: number;
  features: number[];
}

interface RouteConstraints {
  excludeAgents?: string[];
  minConfidence?: number;
  timeout?: number;
}

Bundle Optimization

Tree Shaking

// Import only what you need
import { TinyDancer } from '@ruvector/tiny-dancer-wasm/core';
import { FeatureExtractor } from '@ruvector/tiny-dancer-wasm/features';

CDN Usage

<script type="module">
  import init, { TinyDancer } from 'https://unpkg.com/@ruvector/tiny-dancer-wasm';

  await init();
  const router = new TinyDancer();
</script>

Performance

Benchmarks (Chrome 120, M1 Mac)

Operation           Latency (p50)
────────────────────────────────
Model load          ~50ms
Single inference    ~0.5ms
Batch (10)          ~2ms
Feature extraction  ~0.1ms

Bundle Size

Format              Size
────────────────────────
WASM binary         ~100KB gzipped
JS glue             ~5KB gzipped
Total               ~105KB gzipped

Browser Support

Browser	Version	SIMD
Chrome	89+	✅
Firefox	89+	✅
Safari	15+	✅
Edge	89+	✅

Related Packages

• ruvector-tiny-dancer-core - Core Rust implementation
• ruvector-tiny-dancer-node - Node.js bindings
• ruvector-core - Core vector database

Documentation

• Main README - Complete project overview
• API Documentation - Full API reference
• GitHub Repository - Source code

License

MIT License - see LICENSE for details.

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Part of Ruvector - Built by rUv

Documentation | npm | GitHub