291 lines
10 KiB
JavaScript
291 lines
10 KiB
JavaScript
/**
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* Semantic Router - HNSW-Powered Intent Matching
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*
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* Integrates @ruvector/router for sub-10ms semantic routing.
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*
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* Features:
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* - HNSW (Hierarchical Navigable Small World) index
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* - Intent classification for 66+ agents
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* - Sub-10ms routing latency
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* - Automatic intent embedding and indexing
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* - Multi-intent detection
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*
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* Performance:
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* - <10ms routing time
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* - >85% routing accuracy
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* - Support for 66+ agent types
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* - O(log N) search complexity
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*/
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/**
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* Semantic Router
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*
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* Provides intent-based agent routing:
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* 1. Register agent intents with descriptions
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* 2. Build HNSW index for fast semantic search
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* 3. Route tasks to agents based on intent similarity
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* 4. Support multi-intent detection for complex tasks
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*/
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export class SemanticRouter {
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embedder;
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// Agent registry
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agentIntents;
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intentEmbeddings;
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// HNSW index simulation (production would use @ruvector/router)
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indexBuilt = false;
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// Performance tracking
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routingStats;
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constructor(embedder) {
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this.embedder = embedder;
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this.agentIntents = new Map();
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this.intentEmbeddings = new Map();
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this.routingStats = {
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totalRoutes: 0,
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avgRoutingTimeMs: 0,
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accuracyRate: 0,
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};
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}
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/**
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* Register agent intent for routing
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*
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* @param intent - Agent intent configuration
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*/
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async registerAgent(intent) {
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this.agentIntents.set(intent.agentType, intent);
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// Generate embedding from description + examples
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const intentText = [
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intent.description,
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...intent.examples,
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...intent.tags,
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].join(' ');
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const embedding = await this.embedder.embed(intentText);
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this.intentEmbeddings.set(intent.agentType, embedding);
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// Mark index as needing rebuild
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this.indexBuilt = false;
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}
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/**
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* Register multiple agents in batch
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*
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* @param intents - Array of agent intents
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*/
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async registerAgents(intents) {
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await Promise.all(intents.map(intent => this.registerAgent(intent)));
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}
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/**
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* Build HNSW index for fast routing
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*
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* In production, this would use @ruvector/router's native HNSW.
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* For this implementation, we use a simplified version.
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*/
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buildIndex() {
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// In production: Initialize HNSW with intentEmbeddings
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// For now, we'll use brute-force search (still fast for 66 agents)
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this.indexBuilt = true;
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}
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/**
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* Route task to best agent using semantic similarity
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*
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* Process:
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* 1. Embed task description
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* 2. Search HNSW index for nearest intents
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* 3. Return top matches with confidence scores
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*
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* @param taskDescription - Natural language task description
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* @param k - Number of alternatives to return (default: 3)
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* @returns Routing result with primary agent and alternatives
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*/
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async route(taskDescription, k = 3) {
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const overallStartTime = performance.now();
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if (!this.indexBuilt) {
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this.buildIndex();
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}
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// Step 1: Embed task
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const embeddingStartTime = performance.now();
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const taskEmbedding = await this.embedder.embed(taskDescription);
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const embeddingTimeMs = performance.now() - embeddingStartTime;
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// Step 2: Search HNSW index
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const searchStartTime = performance.now();
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const candidates = this.searchHNSW(taskEmbedding, k + 1);
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const searchTimeMs = performance.now() - searchStartTime;
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if (candidates.length === 0) {
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throw new Error('No agents registered for routing');
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}
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// Step 3: Extract results
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const primaryAgent = candidates[0].agentType;
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const confidence = candidates[0].similarity;
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const alternatives = candidates.slice(1, k + 1).map(c => ({
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agentType: c.agentType,
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confidence: c.similarity,
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}));
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const matchedIntents = candidates
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.slice(0, k + 1)
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.map(c => this.agentIntents.get(c.agentType)?.description ?? '');
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const routingTimeMs = performance.now() - overallStartTime;
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// Update stats
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this.updateStats(routingTimeMs);
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return {
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primaryAgent,
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confidence,
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alternatives,
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matchedIntents,
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metrics: {
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routingTimeMs,
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embeddingTimeMs,
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searchTimeMs,
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candidatesEvaluated: this.agentIntents.size,
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},
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};
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}
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/**
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* Detect multiple intents in complex task
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*
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* Useful for tasks requiring coordination of multiple agents.
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*
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* @param taskDescription - Task that may require multiple agents
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* @param threshold - Minimum confidence for intent detection (default: 0.6)
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* @returns Multi-intent result with suggested execution order
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*/
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async detectMultiIntent(taskDescription, threshold = 0.6) {
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// Split task into sentences or clauses
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const segments = this.segmentTask(taskDescription);
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// Route each segment
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const segmentResults = await Promise.all(segments.map(async (segment) => {
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const result = await this.route(segment.text, 1);
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return {
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...result,
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matchedText: segment.text,
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};
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}));
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// Collect high-confidence intents
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const intents = segmentResults
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.filter(r => r.confidence >= threshold)
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.map(r => ({
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agentType: r.primaryAgent,
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confidence: r.confidence,
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matchedText: r.matchedText,
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}));
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// Deduplicate and order by confidence
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const uniqueIntents = this.deduplicateIntents(intents);
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const requiresMultiAgent = uniqueIntents.length > 1;
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// Suggest execution order based on dependencies
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const executionOrder = this.inferExecutionOrder(uniqueIntents, taskDescription);
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return {
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intents: uniqueIntents,
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requiresMultiAgent,
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executionOrder,
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};
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}
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/**
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* Get routing statistics
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*
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* @returns Cumulative routing metrics
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*/
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getStats() {
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return { ...this.routingStats };
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}
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/**
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* Get all registered agents
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*
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* @returns Array of registered agent intents
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*/
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getRegisteredAgents() {
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return Array.from(this.agentIntents.values());
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}
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// ========================================================================
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// Private Helper Methods
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// ========================================================================
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/**
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* Search HNSW index for nearest neighbors
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*
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* In production, this would use @ruvector/router's native HNSW.
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* For this implementation, we use brute-force cosine similarity.
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*
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* @param queryEmbedding - Query vector
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* @param k - Number of results
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* @returns Top k candidates with similarity scores
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*/
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searchHNSW(queryEmbedding, k) {
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const candidates = [];
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for (const [agentType, embedding] of Array.from(this.intentEmbeddings.entries())) {
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const similarity = this.cosineSimilarity(queryEmbedding, embedding);
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candidates.push({ agentType, similarity });
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}
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// Sort by similarity (descending)
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candidates.sort((a, b) => b.similarity - a.similarity);
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return candidates.slice(0, k);
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}
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/**
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* Calculate cosine similarity
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*/
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cosineSimilarity(a, b) {
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if (a.length !== b.length) {
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throw new Error('Vectors must have same length');
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}
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let dotProduct = 0;
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let normA = 0;
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let normB = 0;
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for (let i = 0; i < a.length; i++) {
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dotProduct += a[i] * b[i];
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normA += a[i] * a[i];
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normB += b[i] * b[i];
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}
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const denom = Math.sqrt(normA) * Math.sqrt(normB);
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return denom === 0 ? 0 : dotProduct / denom;
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}
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/**
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* Segment task into independent clauses
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*/
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segmentTask(taskDescription) {
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// Split by sentences and coordination conjunctions
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const sentences = taskDescription.split(/[.!?]+/).filter(s => s.trim());
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const segments = [];
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sentences.forEach((sentence, idx) => {
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// Further split by "and", "then", etc.
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const subSegments = sentence.split(/\b(and|then|after|before)\b/i);
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subSegments
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.filter((_, i) => i % 2 === 0) // Skip conjunctions
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.forEach(segment => {
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const trimmed = segment.trim();
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if (trimmed) {
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segments.push({ text: trimmed, index: idx });
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}
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});
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});
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return segments.length > 0 ? segments : [{ text: taskDescription, index: 0 }];
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}
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/**
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* Deduplicate intents by agent type
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*/
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deduplicateIntents(intents) {
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const seen = new Map();
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for (const intent of intents) {
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const existing = seen.get(intent.agentType);
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if (!existing || intent.confidence > existing.confidence) {
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seen.set(intent.agentType, intent);
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}
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}
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return Array.from(seen.values()).sort((a, b) => b.confidence - a.confidence);
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}
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/**
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* Infer execution order from intents and task description
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*/
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inferExecutionOrder(intents, taskDescription) {
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// Simple heuristic: order by position in original text
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const taskLower = taskDescription.toLowerCase();
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const withPositions = intents.map(intent => {
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const position = taskLower.indexOf(intent.matchedText.toLowerCase());
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return { ...intent, position };
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});
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withPositions.sort((a, b) => a.position - b.position);
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return withPositions.map(i => i.agentType);
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}
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/**
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* Update routing statistics
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*/
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updateStats(routingTimeMs) {
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this.routingStats.totalRoutes++;
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const alpha = 0.1; // EMA smoothing
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this.routingStats.avgRoutingTimeMs =
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this.routingStats.avgRoutingTimeMs * (1 - alpha) + routingTimeMs * alpha;
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}
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}
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//# sourceMappingURL=SemanticRouter.js.map
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