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@monoes/routing

v1.0.4

Published

Semantic task-to-agent routing for monomind

Readme

@monoes/routing

npm version license node

Semantic task-to-agent routing for Monomind (@monoes/routing v1.0.3 / Monomind CLI v2.9.0).

Part of the Monomind ecosystem. Handles deterministic keyword filtering, vector centroid embedding matching, neural routing, and LLM fallback classification to route user tasks to specialized agent roles.


🏗 Task-to-Agent Cascade Architecture

When a task description is processed, @monoes/routing executes a multi-tier cascade flow (fast deterministic $\rightarrow$ embedding similarity $\rightarrow$ neural augmentation $\rightarrow$ LLM fallback):

                       Task Description
                              │
                              ▼
                ┌───────────────────────────┐
                │ Tier 1: Keyword Pre-Filter │ ── Match ──▶ confidence: 1.0 (method: 'keyword')
                │ (30+ rules, < 1ms)        │
                └───────────────────────────┘
                              │ No Match
                              ▼
                ┌───────────────────────────┐
                │ Tier 2: Cosine Centroid   │ ── Sim >= 0.5 ──▶ confidence: cosine (method: 'semantic')
                │ (256-D MD5/HNSW Vector)   │
                └───────────────────────────┘
                              │ Below Threshold
                              ▼
                ┌───────────────────────────┐
                │ Tier 3: Neural & LanceDB  │ ── Score = 0.65*neural + 0.35*keyword
                │ (Vector Rerank)           │
                └───────────────────────────┘
                              │ Below Threshold
                              ▼
                ┌───────────────────────────┐
                │ Tier 4: LLM Fallback      │ ── Classify ──▶ confidence: 0.85 (method: 'llm_fallback')
                │ (Claude Haiku / Degraded) │
                └───────────────────────────┘

1. Tier 1: Deterministic Keyword Pre-Filter

  • Source: keyword-pre-filter.ts:18-93
  • Evaluates tasks using fast regular expression matching against 30+ default rule definitions (e.g., CVE security checks, unit test files, Docker/DevOps configs, Solidity/ZK contracts, MCP tools).
  • Returns immediate match with confidence: 1.0 and method: 'keyword'.

2. Tier 2: Cosine Centroid Embedding Match

  • Source: route-layer.ts:73-106, cosine.ts:5-20
  • Computes cosine similarity between task vector embeddings and agent route centroid vectors.
  • Supports lightweight 256-D MD5/SHA-256 hash embeddings (LocalEncoder) or transformer embeddings (HNSWEncoder).
  • If similarity $\ge \text{threshold}$ (default: 0.5), routes task with method: 'semantic'.

3. Tier 3: Neural & LanceDB Vector Reranking

  • Source: hooks-routing.ts:293-391
  • Blends neural model score with keyword match score: $\text{FinalScore} = 0.65 \times \text{neuralScore} + 0.35 \times \text{keywordMatchScore}$.
  • Consults local LanceDB vector indices for past successful route outcomes.

4. Tier 4: LLM Fallback Classification

  • Source: llm-fallback.ts:20-88, prompts/classify.ts:4-28
  • Constructs a compact capability prompt (max 8,000 chars) detailing candidate agent descriptions and returns classification with confidence: 0.85 and method: 'llm_fallback'.
  • On API failure or missing key, degrades gracefully to the default route with method: 'semantic_degraded'.

💻 CLI Command Reference (monomind route)

The Monomind CLI provides 9 subcommands under monomind route (defined in src/commands/route.ts:80-800):

| Subcommand | Usage | Description | Key Flags | |---|---|---|---| | task | monomind route task "<prompt>" | Primary CLI entry point. Routes a task prompt to the best agent slug. | --json, --verbose | | semantic | monomind route semantic "<prompt>" | Executes full @monoes/routing embedding + centroid pipeline. | --threshold N, --json | | list-agents | monomind route list-agents | Displays all registered agents, capabilities, and keyword patterns. | --format json | | stats | monomind route stats | Displays routing performance metrics, cache hits, and tier usage breakdown. | --reset | | feedback | monomind route feedback <id> <correct_agent> | Records user feedback to update local neural/LanceDB routing weights. | --weight N | | reset | monomind route reset | Resets cached route centroids, outcomes, and feedback data. | --force | | export | monomind route export --out <file> | Exports learned routing centroids and capability index to JSON. | --out | | import | monomind route import --in <file> | Imports routing centroids and rules from external JSON file. | --in, --merge | | coverage / cov | monomind route coverage | Runs benchmark coverage test across sample task prompts. | --min-score N |


⚡ Task Complexity Scoring Rules

Task complexity is dynamically calculated to estimate execution duration, budget allocation, and agent delegation hierarchy:

  • High Complexity ("2–4 hours"): Prompts containing architecture refactoring, full stack migrations, multi-package dependencies, or text length $> 500$ chars.
  • Medium Complexity ("30–60 min"): Standard feature implementations, multi-file bugfixes, API integration, or text length $> 150$ chars.
  • Complexity Scoring:
    • High (Estimated 2-4 hours): Task description contains 'complex' or 'architecture' OR character length > 200 (hooks-routing.ts:395-400).
    • Low (Estimated 10-30 min): Task description contains 'simple' or 'fix' OR character length < 50.
    • Medium (Estimated 30-60 min): All other standard task prompts.

Test Suites

Vitest test suites are located in packages/@monomind/routing/__tests__/:

  • route-layer.test.ts: Cascade evaluation, thresholds, and fallback behavior.
  • keyword-pre-filter.test.ts: Regex rule precedence and pattern matching.
  • encoder.test.ts: 256-D MD5/SHA-256 local encoding and LRU cache eviction.
  • llm-fallback.test.ts: LLM prompt construction, candidate hint parsing, and error recovery.
  • cosine.test.ts: Validates vector dot product calculation and centroid position aggregation.
  • capability-index.test.ts: Ensures agent capability indexing stays under the 8,000-character context budget.

Run unit tests via:

pnpm --filter @monoes/routing test

🚀 Usage Example

import { RouteLayer } from '@monoes/routing';

const router = new RouteLayer({
  routes: [
    { name: 'coder', agentSlug: 'coder', utterances: ['implement feature', 'build api'], threshold: 0.5 },
    { name: 'tester', agentSlug: 'tester', utterances: ['write unit test', 'add coverage'], threshold: 0.5 },
    { name: 'security', agentSlug: 'security-engineer', utterances: ['fix cve', 'audit vulnerability'], threshold: 0.5 },
  ],
  enableKeywordFilter: true,
});

await router.initialize();

// Tier 1 Match (<1ms)
const res1 = await router.route('Fix CVE-2024-12345 vulnerability');
// { agentSlug: 'security-engineer', confidence: 1.0, method: 'keyword' }

// Tier 2 Match (Embedding Centroid)
const res2 = await router.route('Create new REST endpoint for user profiles');
// { agentSlug: 'coder', confidence: 0.82, method: 'semantic' }

🔗 Links

📄 License

MIT