| Crates.io | ruvector-tiny-dancer-wasm |
| lib.rs | ruvector-tiny-dancer-wasm |
| version | 0.1.29 |
| created_at | 2025-11-21 21:45:36.692432+00 |
| updated_at | 2025-12-29 19:18:13.105355+00 |
| description | WASM bindings for Tiny Dancer neural routing |
| homepage | |
| repository | https://github.com/ruvnet/ruvector |
| max_upload_size | |
| id | 1944320 |
| size | 43,516 |
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.
npm install @ruvector/tiny-dancer-wasm
# or
yarn add @ruvector/tiny-dancer-wasm
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})`);
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);
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`);
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;
}
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;
}
// Import only what you need
import { TinyDancer } from '@ruvector/tiny-dancer-wasm/core';
import { FeatureExtractor } from '@ruvector/tiny-dancer-wasm/features';
<script type="module">
import init, { TinyDancer } from 'https://unpkg.com/@ruvector/tiny-dancer-wasm';
await init();
const router = new TinyDancer();
</script>
Operation Latency (p50)
────────────────────────────────
Model load ~50ms
Single inference ~0.5ms
Batch (10) ~2ms
Feature extraction ~0.1ms
Format Size
────────────────────────
WASM binary ~100KB gzipped
JS glue ~5KB gzipped
Total ~105KB gzipped
| Browser | Version | SIMD |
|---|---|---|
| Chrome | 89+ | ✅ |
| Firefox | 89+ | ✅ |
| Safari | 15+ | ✅ |
| Edge | 89+ | ✅ |
MIT License - see LICENSE for details.