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[package]
name = "ruvector-tiny-dancer-wasm"
version.workspace = true
edition.workspace = true
authors.workspace = true
license.workspace = true
repository.workspace = true
readme = "README.md"
description = "WASM bindings for Tiny Dancer neural routing"
[lib]
crate-type = ["cdylib", "rlib"]
[dependencies]
ruvector-tiny-dancer-core = { version = "2.0", path = "../ruvector-tiny-dancer-core" }
# WASM dependencies
wasm-bindgen = { workspace = true }
wasm-bindgen-futures = { workspace = true }
js-sys = { workspace = true }
web-sys = { version = "0.3", features = ["console"] }
# Workspace dependencies
serde = { workspace = true }
serde_json = { workspace = true }
[dev-dependencies]
wasm-bindgen-test = "0.3"
[profile.release]
opt-level = "z"
lto = true
codegen-units = 1
panic = "abort"

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# Ruvector Tiny Dancer WASM
[![npm](https://img.shields.io/npm/v/@ruvector/tiny-dancer.svg)](https://www.npmjs.com/package/@ruvector/tiny-dancer)
[![Crates.io](https://img.shields.io/crates/v/ruvector-tiny-dancer-wasm.svg)](https://crates.io/crates/ruvector-tiny-dancer-wasm)
[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT)
**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](https://github.com/ruvnet/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
```bash
npm install @ruvector/tiny-dancer-wasm
# or
yarn add @ruvector/tiny-dancer-wasm
```
## Quick Start
### Basic Usage
```typescript
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
```typescript
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
```typescript
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
```typescript
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
```typescript
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
```typescript
// Import only what you need
import { TinyDancer } from '@ruvector/tiny-dancer-wasm/core';
import { FeatureExtractor } from '@ruvector/tiny-dancer-wasm/features';
```
### CDN Usage
```html
<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](../ruvector-tiny-dancer-core/)** - Core Rust implementation
- **[ruvector-tiny-dancer-node](../ruvector-tiny-dancer-node/)** - Node.js bindings
- **[ruvector-core](../ruvector-core/)** - Core vector database
## Documentation
- **[Main README](../../README.md)** - Complete project overview
- **[API Documentation](https://docs.rs/ruvector-tiny-dancer-wasm)** - Full API reference
- **[GitHub Repository](https://github.com/ruvnet/ruvector)** - Source code
## License
**MIT License** - see [LICENSE](../../LICENSE) for details.
---
<div align="center">
**Part of [Ruvector](https://github.com/ruvnet/ruvector) - Built by [rUv](https://ruv.io)**
[![Star on GitHub](https://img.shields.io/github/stars/ruvnet/ruvector?style=social)](https://github.com/ruvnet/ruvector)
[Documentation](https://docs.rs/ruvector-tiny-dancer-wasm) | [npm](https://www.npmjs.com/package/@ruvector/tiny-dancer) | [GitHub](https://github.com/ruvnet/ruvector)
</div>

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{
"name": "@ruvector/tiny-dancer-wasm",
"version": "0.1.0",
"description": "WebAssembly bindings for Tiny Dancer - FastGRNN neural inference for AI routing in browsers",
"main": "pkg/ruvector_tiny_dancer_wasm.js",
"types": "pkg/ruvector_tiny_dancer_wasm.d.ts",
"files": [
"pkg/"
],
"scripts": {
"build": "wasm-pack build --target web --out-dir pkg",
"build:node": "wasm-pack build --target nodejs --out-dir pkg-node",
"build:bundler": "wasm-pack build --target bundler --out-dir pkg-bundler",
"test": "wasm-pack test --headless --firefox"
},
"repository": {
"type": "git",
"url": "https://github.com/ruvnet/ruvector"
},
"keywords": [
"wasm",
"webassembly",
"ai-routing",
"fastgrnn",
"neural-network",
"inference",
"browser"
],
"author": "rUv",
"license": "MIT",
"bugs": {
"url": "https://github.com/ruvnet/ruvector/issues"
},
"homepage": "https://github.com/ruvnet/ruvector"
}

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//! WASM bindings for Tiny Dancer neural routing
use ruvector_tiny_dancer_core::{
types::{
Candidate as CoreCandidate, RouterConfig as CoreRouterConfig,
RoutingRequest as CoreRoutingRequest, RoutingResponse as CoreRoutingResponse,
},
Router as CoreRouter,
};
use std::collections::HashMap;
use wasm_bindgen::prelude::*;
/// Initialize panic hook for better error messages in WASM
#[wasm_bindgen(start)]
pub fn init() {
#[cfg(feature = "console_error_panic_hook")]
console_error_panic_hook::set_once();
}
/// Router configuration for WASM
#[wasm_bindgen]
#[derive(Clone)]
pub struct RouterConfig {
model_path: String,
confidence_threshold: f32,
max_uncertainty: f32,
enable_circuit_breaker: bool,
circuit_breaker_threshold: u32,
enable_quantization: bool,
}
#[wasm_bindgen]
impl RouterConfig {
#[wasm_bindgen(constructor)]
pub fn new() -> Self {
Self {
model_path: "./models/fastgrnn.safetensors".to_string(),
confidence_threshold: 0.85,
max_uncertainty: 0.15,
enable_circuit_breaker: true,
circuit_breaker_threshold: 5,
enable_quantization: true,
}
}
#[wasm_bindgen(setter)]
pub fn set_model_path(&mut self, path: String) {
self.model_path = path;
}
#[wasm_bindgen(setter)]
pub fn set_confidence_threshold(&mut self, threshold: f32) {
self.confidence_threshold = threshold;
}
#[wasm_bindgen(setter)]
pub fn set_max_uncertainty(&mut self, uncertainty: f32) {
self.max_uncertainty = uncertainty;
}
}
impl From<RouterConfig> for CoreRouterConfig {
fn from(config: RouterConfig) -> Self {
CoreRouterConfig {
model_path: config.model_path,
confidence_threshold: config.confidence_threshold,
max_uncertainty: config.max_uncertainty,
enable_circuit_breaker: config.enable_circuit_breaker,
circuit_breaker_threshold: config.circuit_breaker_threshold,
enable_quantization: config.enable_quantization,
database_path: None,
}
}
}
/// Candidate for routing
#[wasm_bindgen]
pub struct Candidate {
id: String,
embedding: Vec<f32>,
metadata: String,
created_at: i64,
access_count: u64,
success_rate: f32,
}
#[wasm_bindgen]
impl Candidate {
#[wasm_bindgen(constructor)]
pub fn new(
id: String,
embedding: Vec<f32>,
metadata: String,
created_at: i64,
access_count: u64,
success_rate: f32,
) -> Self {
Self {
id,
embedding,
metadata,
created_at,
access_count,
success_rate,
}
}
}
impl TryFrom<Candidate> for CoreCandidate {
type Error = JsValue;
fn try_from(candidate: Candidate) -> Result<Self, Self::Error> {
let metadata: HashMap<String, serde_json::Value> =
serde_json::from_str(&candidate.metadata)
.map_err(|e| JsValue::from_str(&format!("Invalid metadata: {}", e)))?;
Ok(CoreCandidate {
id: candidate.id,
embedding: candidate.embedding,
metadata,
created_at: candidate.created_at,
access_count: candidate.access_count,
success_rate: candidate.success_rate,
})
}
}
/// Routing request
#[wasm_bindgen]
pub struct RoutingRequest {
query_embedding: Vec<f32>,
candidates: Vec<Candidate>,
metadata: Option<String>,
}
#[wasm_bindgen]
impl RoutingRequest {
#[wasm_bindgen(constructor)]
pub fn new(query_embedding: Vec<f32>, candidates: Vec<Candidate>) -> Self {
Self {
query_embedding,
candidates,
metadata: None,
}
}
#[wasm_bindgen(setter)]
pub fn set_metadata(&mut self, metadata: String) {
self.metadata = Some(metadata);
}
}
impl TryFrom<RoutingRequest> for CoreRoutingRequest {
type Error = JsValue;
fn try_from(request: RoutingRequest) -> Result<Self, Self::Error> {
let candidates: Result<Vec<CoreCandidate>, JsValue> = request
.candidates
.into_iter()
.map(|c| c.try_into())
.collect();
let metadata = if let Some(meta_str) = request.metadata {
Some(
serde_json::from_str(&meta_str)
.map_err(|e| JsValue::from_str(&format!("Invalid metadata: {}", e)))?,
)
} else {
None
};
Ok(CoreRoutingRequest {
query_embedding: request.query_embedding,
candidates: candidates?,
metadata,
})
}
}
/// Routing response
#[wasm_bindgen]
pub struct RoutingResponse {
decisions_json: String,
inference_time_us: u64,
candidates_processed: usize,
feature_time_us: u64,
}
#[wasm_bindgen]
impl RoutingResponse {
#[wasm_bindgen(getter)]
pub fn decisions_json(&self) -> String {
self.decisions_json.clone()
}
#[wasm_bindgen(getter)]
pub fn inference_time_us(&self) -> u64 {
self.inference_time_us
}
#[wasm_bindgen(getter)]
pub fn candidates_processed(&self) -> usize {
self.candidates_processed
}
#[wasm_bindgen(getter)]
pub fn feature_time_us(&self) -> u64 {
self.feature_time_us
}
}
impl From<CoreRoutingResponse> for RoutingResponse {
fn from(response: CoreRoutingResponse) -> Self {
let decisions_json = serde_json::to_string(&response.decisions).unwrap_or_default();
Self {
decisions_json,
inference_time_us: response.inference_time_us,
candidates_processed: response.candidates_processed,
feature_time_us: response.feature_time_us,
}
}
}
/// Tiny Dancer router for WASM
#[wasm_bindgen]
pub struct Router {
inner: CoreRouter,
}
#[wasm_bindgen]
impl Router {
/// Create a new router with configuration
#[wasm_bindgen(constructor)]
pub fn new(config: RouterConfig) -> Result<Router, JsValue> {
let core_config: CoreRouterConfig = config.into();
let router = CoreRouter::new(core_config)
.map_err(|e| JsValue::from_str(&format!("Failed to create router: {}", e)))?;
Ok(Router { inner: router })
}
/// Route a request
pub fn route(&self, request: RoutingRequest) -> Result<RoutingResponse, JsValue> {
let core_request: CoreRoutingRequest = request.try_into()?;
let core_response = self
.inner
.route(core_request)
.map_err(|e| JsValue::from_str(&format!("Routing failed: {}", e)))?;
Ok(core_response.into())
}
/// Check circuit breaker status
pub fn circuit_breaker_status(&self) -> Option<bool> {
self.inner.circuit_breaker_status()
}
}
/// Get library version
#[wasm_bindgen]
pub fn version() -> String {
env!("CARGO_PKG_VERSION").to_string()
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_version() {
assert!(!version().is_empty());
}
}