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https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
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a319feb6d7
Governance layer (14 docs): - MASTER_OPERATING_PROMPT.md — operating constitution (five planes, six tracks, policy classes) - docs/ai-operating-model.md — five-plane architecture (Decision/Execution/Trust/Data/Operating) - docs/dealix-six-tracks.md — six strategic tracks (Revenue/Intelligence/Compliance/Expansion/Operations/Trust) - docs/governance/execution-fabric.md — OpenClaw execution plane deep dive - docs/governance/trust-fabric.md — trust plane with contradiction engine + evidence packs - docs/governance/saudi-compliance-and-ai-governance.md — PDPL/ZATCA/SDAIA/NCA live controls - docs/governance/technology-radar-tier1.md — Core/Strong/Pilot/Watch/Hold classification - docs/governance/partnership-os.md — alliance lifecycle management - docs/governance/ma-os.md — M&A corporate development lifecycle - docs/governance/expansion-os.md — geographic and vertical growth - docs/governance/pmi-os.md — post-merger integration framework - docs/governance/executive-board-os.md — executive decision surfaces - docs/execution-matrix-90d-tier1.md — 90-day sprint execution plan - docs/adr/0001-tier1-execution-policy-spikes.md — 8 architectural decisions Backend (3 models, 6 services, 8 API routes): - Contradiction Engine — detect/track system conflicts - Evidence Pack System — tamper-evident audit proof with SHA256 - Saudi Compliance Matrix — live PDPL/ZATCA/SDAIA/NCA controls - Executive Room — unified executive decision surface - Connector Governance — integration health monitoring - Model Routing Dashboard — LLM provider metrics - Forecast Control Center — actual vs forecast across tracks - Approval Center — enhanced approval queue with SLA Frontend (9 components): - Executive Room, Evidence Pack Viewer, Approval Center - Connector Governance Board, Saudi Compliance Dashboard - Actual vs Forecast Dashboard, Risk Heatmap - Policy Violations Board, Partner Pipeline Board Tooling: - scripts/architecture_brief.py — preflight validation (40/40 checks pass) - Updated CLAUDE.md and AGENTS.md with governance references https://claude.ai/code/session_01W1rJthWDkasijTdXCfxVHs
58 lines
1.8 KiB
Python
58 lines
1.8 KiB
Python
"""Contradiction Engine — tracks conflicts between documents, policies, and system behavior."""
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from __future__ import annotations
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import enum
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from sqlalchemy import Column, DateTime, Enum, ForeignKey, String, Text
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from sqlalchemy.dialects.postgresql import JSONB, UUID
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from sqlalchemy.orm import relationship
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from app.models.base import TenantModel
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class ContradictionType(str, enum.Enum):
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FACTUAL = "factual"
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TEMPORAL = "temporal"
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SCOPE = "scope"
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POLICY = "policy"
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class ContradictionSeverity(str, enum.Enum):
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CRITICAL = "critical"
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HIGH = "high"
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MEDIUM = "medium"
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LOW = "low"
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class ContradictionStatus(str, enum.Enum):
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DETECTED = "detected"
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REVIEWING = "reviewing"
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RESOLVED = "resolved"
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ACCEPTED = "accepted"
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class Contradiction(TenantModel):
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__tablename__ = "contradictions"
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source_a = Column(String(255), nullable=False)
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source_b = Column(String(255), nullable=False)
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claim_a = Column(Text, nullable=False)
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claim_b = Column(Text, nullable=False)
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contradiction_type = Column(
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Enum(ContradictionType), nullable=False, default=ContradictionType.FACTUAL
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)
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severity = Column(
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Enum(ContradictionSeverity), nullable=False, default=ContradictionSeverity.MEDIUM
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)
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status = Column(
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Enum(ContradictionStatus), nullable=False, default=ContradictionStatus.DETECTED
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)
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detected_by = Column(String(50), nullable=False, default="manual") # manual, ai_scan, runtime
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resolution = Column(Text, nullable=True)
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evidence = Column(JSONB, default=dict)
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resolved_by_id = Column(UUID(as_uuid=True), ForeignKey("users.id"), nullable=True)
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resolved_at = Column(DateTime(timezone=True), nullable=True)
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resolved_by = relationship("User", foreign_keys=[resolved_by_id])
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