EcoIQ Platform Module

EcoIQ Agent Runtime & Model Router

From trained agent to governed decision.

Connects the 10 operational agent training packs and the governed AI Agent Council v2 runtime to a reusable execution layer, so a Council position is produced by a real, auditable pipeline rather than hand-authored fixture data.

Open AI Agent Council

Execution Pipeline

Council Case→ Agent Selection→ Training Pack Loader→ Model Router→ Agent Execution→ Structured Output Validation→ Safety Assertions→ Council Position→ Cross-Examination→ Council Decision→ Human Approval→ Institutional Memory

Runtime Dashboard

registered agents

live-enabled agents

deterministic test runs

simulated demo runs

successful runs

schema failures

safety blocks

human reviews required

—

average calibrated confidence

fallback events

$0.00

estimated model cost

All cost figures are estimated (token-count based), never a claim of actual provider billing.

Execution Mode Honesty

Every run explicitly declares its Execution Mode — live, deterministic_test, or simulated_demo — and a failed live run is never silently relabelled as simulated.

Safety Assertion Engine

The Safety Assertion Engine blocks or flags output that invents missing data, presents estimated figures as verified, claims guaranteed savings, or makes unsupported certification/Shariah/fatwa claims — before it can reach the Council.

Structured Output Validation

Invalid output is never silently "fixed" — it remains stored, is marked invalid, shows its validation errors, and cannot enter Council reasoning as a trusted position.

Presentation View

From trained agent to governed decision.

Training Pack→ Model Router→ Agent Run→ Schema Validation→ Safety Gate→ Council Position→ Cross-Examination→ Decision→ Human Approval→ Memory