Anthem — Multi-Agent Intelligence Platform

Version: 1.0.0
Status: In Development
Origin: Ground-up rewrite of the Aetherion CGI platform

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What Anthem Is

Anthem is a multi-agent orchestration platform where specialized AI agents collaborate through a shared routing fabric. Each agent runs on a cognitive harness (Luna) that provides identity persistence, drift prevention, contradiction detection, and tool-use governance.

Every feature documented here is implemented and tested. Nothing is aspirational.

Why Anthem Exists

Anthem is a rewrite of the Aetherion CGI ("Collective General Intelligence") platform. Aetherion was an ambitious project that accumulated significant technical debt and a widening gap between its claims and its implementation:

• 8,134 files / 191,500 lines — but only ~3,300 LOC of working routing code
• 7 "intelligence engines" — but the risk engine returned hardcoded floats (return 0.85), the underwriter had no Monte Carlo simulation, and the dynamic planner contained return None
• "Constitutional governance via OPA" — but no service ever queried OPA
• "mTLS everywhere" — but certificate paths were loaded into env vars and never wired into SSL contexts
• "Zero-trust architecture" — but 19 Docker ports were exposed including Postgres, Redis, and every internal engine
• 398 markdown documents describing quantum cryptography, interplanetary scaling, and alien intelligence engagement — none of which were implemented

Anthem strips all of this back to zero and rebuilds only what actually works. The result is 26 files, 2,191 lines, and 11 passing tests — a 98.6% reduction in code volume that represents an increase in real capability.

For the full analysis, see docs/EVOLUTION_REPORT.md.

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Architecture

Client → Cortex Gateway → Function Broker → Agent (on Luna harness)
              ↓                                    ↓
         OPA Governance                     LLM (verbalizer)
              ↓                                    ↓
         Audit Trail                          Tool Execution

The LLM is not the agent. The agent is the harness — identity, goals, tools, and reflection. The LLM is called by the harness when something needs to be turned into language or when a structured decision needs natural-language reasoning.

Agents

Agent	Role	Key Tools
UIE	Meta-agent / orchestrator	Route to other agents, decompose goals
BUE	Financial underwriting	Monte Carlo simulation (GBM), industry taxonomy
URPE	Risk assessment	Sensitivity analysis, adversarial scenarios
CEOA	Compute orchestration	Workload scheduling, carbon intelligence
Domain Cortex	Cross-domain synthesis	Aggregate results, find correlations
ILE	Learning / feedback	Feedback store, drift metrics

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What Changed from Aetherion

Capability	Aetherion	Anthem
Monte Carlo underwriting	Field populated from upstream — no simulation code	Real GBM simulator: 10K paths, VaR, CVaR, calibration from history
Risk assessment	Alien/interplanetary/existential modules returning 0.85	Sensitivity analysis: perturb ±1σ/±2σ, re-simulate, score from outcomes
OPA governance	Container configured, never queried	HTTP POST to OPA on every request; fail-closed in production
mTLS	Cert paths in env vars, plain HTTP clients	ssl.SSLContext with load_cert_chain and load_verify_locations
API authentication	Boolean flag, no key store	SHA-256 hashed key store with expiry and revocation
Agent architecture	FastAPI services with hardcoded responses	Luna harness: identity, tools, reflection loop, token budgets
Docker security	19 exposed ports, root containers, changeme passwords	3 exposed ports, UID 1000, no default passwords
Error handling	Leaked type(exc).__name__ to callers	Sanitized: only code, message, category, retryable
Pydantic compat	17 duplicate shim copies across files	1 centralized compat.py
Codebase	8,134 files / 213 MB / 191K LOC	26 files / 90 KB / 2.2K LOC

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Quick Start

# 1. Configure environment
cp .env.template .env
# Edit .env — set POSTGRES_PASSWORD, at least one LLM API key

# 2. Start services
docker-compose up -d

# 3. Wait for health checks
curl http://localhost:9200/health

# 4. Submit a query
curl -X POST http://localhost:9200/v1/submit \
  -H "Content-Type: application/json" \
  -d '{
    "tenant_id": "demo",
    "actor": "user",
    "intent": {"task": "underwriting", "domains": ["finance"]},
    "payload": {
      "business_name": "Acme Corp",
      "current_revenue": 5000000,
      "industry": "software"
    }
  }'

Security

All of these are implemented, not just documented:

• mTLS between services (dev certs auto-generated, production certs required)
• API key authentication on the gateway (X-API-Key header)
• OPA governance — every request evaluated against Rego policies
• Fail-closed in production — if OPA is unreachable, requests are denied
• Rate limiting — 100 req/min per key, 10 req/min unauthenticated
• Audit trail with hash-chain integrity verification
• Internal services not exposed — only the gateway port is published
• Non-root containers — all services run as UID 1000

What This Is Not

• Not a general-purpose AI assistant
• Not a government/military system
• Not quantum-anything
• Not interplanetary
• Not production-ready yet (in development)

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Project Structure

Anthem/
├── anthem-common/          # Shared contracts, schemas, security
│   └── anthem_common/      # Python package
├── cortex-gateway/         # Public API gateway
├── function-broker/        # Internal capability router
├── bue/                    # Business Underwriting (Monte Carlo)
├── urpe/                   # Risk Assessment (sensitivity analysis)
├── uie/                    # LLM orchestration
├── domain-cortex/          # Cross-domain synthesis
├── ile/                    # Learning engine
├── configs/                # Agent identities + tool schemas
│   ├── agents/             # YAML identity per agent
│   └── tools/              # YAML tool defs per agent
├── constitutional-governance/
│   └── policies/           # OPA Rego policies
├── docs/
│   └── EVOLUTION_REPORT.md # Full Aetherion → Anthem comparison
├── docker-compose.yml      # Deployment (internal ports not exposed)
└── .env.template           # Environment config (never commit .env)

Development

# Install dependencies
pip install -e anthem-common/ numpy pytest

# Run tests (11 passing — verifies real computed output)
pytest tests/test_smoke.py -v

# Run BUE locally
cd bue && uvicorn api:app --reload --port 9000

Roadmap

Anthem's foundation (contracts, security, harness, BUE, URPE) is complete. Remaining work:

1. Cortex Gateway + Function Broker — port routing fabric, wire to OPA/mTLS/auth
2. UIE — wire OpenAI/Anthropic SDKs into the agent harness
3. Domain Cortex, ILE, Klein — implement as Luna-hosted agents
4. CEOA — port existing compute scheduling engine
5. Dockerfiles — build images for each service
6. Integration tests — end-to-end request flow
7. Alembic migrations — database schema management

Each addition follows the same principle: no feature is documented unless it is implemented, no claim is made unless it can be tested.

License

Proprietary — Anthem Technologies