Agent Skill
2/7/2026multi-agent-coordination
Coordinate multiple AI agents using HUMMBL Base120 mental models. Optimize handoffs, communication protocols, and collaborative problem-solving across Claude Sonnet 4.5, Windsurf Cascade, ChatGPT-5, and Cursor.
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npx skills add hummbl-dev/hummbl-agent-federation
SKILL.md
| Name | multi-agent-coordination |
| Description | Coordinate multiple AI agents using HUMMBL Base120 mental models. Optimize handoffs, communication protocols, and collaborative problem-solving across Claude Sonnet 4.5, Windsurf Cascade, ChatGPT-5, and Cursor. |
Federation
Universal Model Router for Governance-as-a-Service (GaaS)
"One API for 50+ model providers. Quality-first routing with enterprise governance."
Features
- Universal Router — Route tasks to optimal providers across 50+ options
- Quality-First — Weights: Quality (50%) > Speed (30%) > Cost (10%) > Reliability (10%)
- Enterprise Governance — SOC2, GDPR, HIPAA compliance built-in
- Cost Optimization — Automatic savings vs single-provider strategies
- Health Monitoring — Circuit breakers, failover, real-time dashboards
- Multi-Tenant — SaaS-ready with tenant isolation
Quick Start
Installation
# Clone the repository
git clone https://github.com/hummbl-dev/hummbl-agent-federation.git
cd hummbl-agent-federation
# Install with Poetry
poetry install
# Or with pip
pip install -e .
Initialize a Project
# Create a new federation project
federation init
# This creates:
# config/
# └── providers.yaml # Your provider configurations
Route Your First Task
# Route a task (dry-run)
federation route "Implement JWT authentication" --dry-run
# Output:
# ┌─ Routing Decision ──────────────────────────────┐
# │ deepseek │
# │ │
# │ Confidence: 92% │
# │ Est. Cost: $0.05 │
# │ Est. Latency: 2100ms │
# └─────────────────────────────────────────────────┘
# See why this provider was chosen
federation route explain "Implement JWT authentication"
List Providers
federation provider list
# Output:
# ╭─ Federation Providers ────────────────────────╮
# │ Provider Status Models Latency Cost/Mtok │
# ├────────────────────────────────────────────────┤
# │ 🅾️ OpenAI ● 12 1.2s $2.50 │
# │ 🅰️ Anthropic ● 8 1.5s $3.00 │
# │ 🐋 DeepSeek ● 4 2.1s $0.14 │
# │ ⚡ Groq ● 15 0.3s $0.59 │
# │ 🏠 Ollama ● 3 0.1s $0.00 │
# ╰────────────────────────────────────────────────╯
Architecture
┌─────────────────────────────────────────────────────────────────┐
│ TASK INPUT │
│ "Implement authentication middleware with JWT" │
└────────────────────┬────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────┐
│ FEDERATION ROUTER │
│ │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────────────────┐ │
│ │ Intent │ │ Filter │ │ Score │ │
│ │ Classifier │─▶│ Engine │─▶│ Quality: 50% │ │
│ │ │ │ │ │ Speed: 30% │ │
│ │ code_impl │ │ GDPR? SOC2? │ │ Cost: 10% │ │
│ └─────────────┘ └─────────────┘ │ Reliability: 10% │ │
│ └─────────────────────────┘ │
└────────────────────┬────────────────────────────────────────────┘
│
┌────────────┼────────────┐
│ │ │
▼ ▼ ▼
┌──────────────┐ ┌──────────┐ ┌─────────────┐
│ DeepSeek │ │ Groq │ │ OpenAI │
│ $0.05/task │ │ $0.12/t │ │ $2.50/task │
│ Quality:88% │ │ Quality │ │ Quality:95%│
└──────────────┘ └──────────┘ └─────────────┘
Provider Support
Tier 1: Frontier Labs
- OpenAI — GPT-4o, o1, o3-mini
- Anthropic — Claude 3.5/4 Sonnet, Opus
- Google DeepMind — Gemini 1.5/2.0 Pro
- Meta — Llama 3.1/3.2/3.3 (via aggregators)
- xAI — Grok-2, Grok-3
- Cohere — Command R, Embed
- Mistral AI — Mistral Large, Codestral
Tier 2: Chinese Frontier
- DeepSeek — V3, R1 (reasoning)
- Alibaba — Qwen2.5 series
- Moonshot AI — Kimi (long context)
- And 7 more...
Tier 3: Cloud Aggregators
- OpenRouter — 300+ models, one API
- Together AI — Fast inference
- Groq — 800+ tokens/sec
- Fireworks — Production inference
- And 6 more...
Tier 4-7: Cloud Marketplaces, Specialized, Open Source, Emerging
50+ total providers supported.
Governance-as-a-Service
Compliance Policies
policy:
name: soc2-strict
rules:
- all_requests_logged: true
- pii_exclusion_required: true
- data_residency: [us, eu]
- retention_days: 2555 # 7 years
- encryption: aes-256-gcm
Enterprise Features
- Immutable Audit Trails — Every request logged with provenance
- Data Residency — Route to providers in specific regions
- PII Detection — Automatic exclusion of sensitive data
- RBAC — Role-based access control per tenant
- Budget Controls — Hard limits with alerts
Development
Setup
# Install dev dependencies
poetry install --with dev
# Run tests
poetry run pytest
# Run with coverage
poetry run pytest --cov=src
# Format code
poetry run black src/ tests/
poetry run ruff check src/ tests/
# Type checking
poetry run mypy src/
Project Structure
federation/
├── src/
│ ├── registry/ # Provider registry
│ │ ├── models.py # Provider dataclasses
│ │ ├── loader.py # Config loading
│ │ └── store.py # SQLite/Redis storage
│ ├── engine/ # Routing engine
│ │ ├── classifier.py # Intent classification
│ │ ├── router.py # Main routing logic
│ │ └── cost.py # Cost tracking
│ ├── adapters/ # Provider API adapters
│ ├── governance/ # GaaS policy engine
│ ├── telemetry/ # Observability
│ ├── security/ # Vault, encryption
│ ├── tenant/ # Multi-tenancy
│ ├── cli/ # Command line interface
│ └── patterns/ # MapReduce, Debate, etc.
├── tests/ # Test suite
├── docs/ # Documentation
└── config/ # Provider configurations
Roadmap
Phase 1: Foundation ✅
- Provider registry
- Routing engine
- CLI scaffolding
- Provider adapters (in progress)
Phase 2: Intelligence
- Adaptive learning
- Real-time dashboard
- Cost optimization
- A/B testing framework
Phase 3: Scale
- Kubernetes deployment
- Multi-region routing
- Advanced security
- Workflow patterns
Phase 4: Ecosystem
- SDKs (Python, TS, Go)
- IDE extensions
- Consulting methodology
- Training curriculum
Business Model
Service Tiers
| Tier | Price | Target | Features |
|---|---|---|---|
| Community | Free | Developers | 1K requests/mo, 5 providers |
| Pro | $99/mo | Startups | 100K requests, 20 providers |
| Enterprise | Custom | Large orgs | Unlimited, SOC2, consulting |
| Consulting | Project | Transformation | Base120 implementation |
Revenue Split
- Platform Usage: 70%
- Consulting Services: 20%
- Education: 10%
Contributing
See CONTRIBUTING.md for guidelines.
License
MIT License — See LICENSE
Contact
- GitHub: hummbl-dev/hummbl-agent-federation
- Email: reuben@hummbl.io
<p align="center"> <em>Built with ❤️ by the HUMMBL Agent Federation</em> </p>
Skills Info
Original Name:multi-agent-coordinationAuthor:hummbl
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