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Choice → Consequence → Learning: - ConsequenceEngine tracks every decision point with alternatives, risk/reward estimates, and actual outcomes - Consequences feed into AdaptiveEthics for experience-based learning - FusionAGILoop now wires ethics + consequences into task lifecycle Causal World Model: - CausalWorldModel learns state-transition patterns from execution history - Predicts outcomes based on observed action→effect patterns - Uncertainty estimates decrease as more evidence accumulates Metacognition: - assess_head_outputs() evaluates reasoning quality from head outputs - Detects knowledge gaps, measures head agreement, identifies uncertainty - Actively recommends whether to seek more information Interpretability: - ReasoningTracer captures full prompt→answer reasoning traces - Each step records stage, component, input/output, timing - explain() generates human-readable reasoning explanations Claim Verification: - ClaimVerifier cross-checks claims for evidence, consistency, grounding - Flags high-confidence claims lacking evidence support - Detects contradictions between claims from different heads 325 tests passing, 0 ruff errors, 0 mypy errors. Co-Authored-By: Nakamoto, S <defi@defi-oracle.io>
56 lines
1.7 KiB
Python
56 lines
1.7 KiB
Python
"""Governance and safety: guardrails, rate limiting, access control, override, audit, policy, intent alignment.
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All governance components support two modes (``GovernanceMode``):
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- **ENFORCING** — Legacy behaviour: violations are hard-blocked.
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- **ADVISORY** (default) — Violations are logged as advisories and the
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action proceeds. The system learns from outcomes rather than being
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constrained. Mistakes are training data. Trust is earned through
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transparency, not restriction.
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"""
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from fusionagi.governance.access_control import AccessControl
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from fusionagi.governance.adaptive_ethics import AdaptiveEthics, EthicalLesson
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from fusionagi.governance.audit_log import AuditLog
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from fusionagi.governance.consequence_engine import (
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Alternative,
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Choice,
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Consequence,
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ConsequenceEngine,
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)
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from fusionagi.governance.guardrails import Guardrails, PreCheckResult
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from fusionagi.governance.intent_alignment import IntentAlignment
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from fusionagi.governance.override import OverrideHooks
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from fusionagi.governance.policy_engine import PolicyEngine
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from fusionagi.governance.rate_limiter import RateLimiter
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from fusionagi.governance.safety_pipeline import (
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InputModerator,
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ModerationResult,
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OutputScanner,
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OutputScanResult,
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SafetyPipeline,
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)
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from fusionagi.schemas.audit import GovernanceMode
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__all__ = [
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"AdaptiveEthics",
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"Alternative",
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"Choice",
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"Consequence",
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"ConsequenceEngine",
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"EthicalLesson",
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"GovernanceMode",
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"Guardrails",
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"PreCheckResult",
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"RateLimiter",
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"AccessControl",
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"OverrideHooks",
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"AuditLog",
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"PolicyEngine",
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"IntentAlignment",
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"SafetyPipeline",
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"InputModerator",
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"OutputScanner",
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"ModerationResult",
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"OutputScanResult",
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]
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