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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
62 lines
1.8 KiB
Python
62 lines
1.8 KiB
Python
"""Contradiction Engine API — detect and manage system contradictions."""
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from fastapi import APIRouter, Depends, HTTPException
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from pydantic import BaseModel as PydanticBase
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from typing import Any, Dict, List, Optional
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router = APIRouter(prefix="/contradictions", tags=["Contradictions"])
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class ContradictionCreate(PydanticBase):
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source_a: str
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source_b: str
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claim_a: str
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claim_b: str
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contradiction_type: str = "factual"
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severity: str = "medium"
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detected_by: str = "manual"
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evidence: Optional[Dict[str, Any]] = None
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class ContradictionResolve(PydanticBase):
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resolution: str
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status: str = "resolved"
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@router.post("/")
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async def register_contradiction(body: ContradictionCreate) -> Dict[str, Any]:
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"""Register a new contradiction."""
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return {
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"status": "registered",
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"source_a": body.source_a,
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"source_b": body.source_b,
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"contradiction_type": body.contradiction_type,
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"severity": body.severity,
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}
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@router.get("/")
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async def list_contradictions() -> Dict[str, Any]:
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"""List active contradictions."""
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return {"contradictions": [], "total": 0}
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@router.get("/stats")
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async def contradiction_stats() -> Dict[str, Any]:
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"""Get contradiction statistics."""
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return {"total": 0, "active": 0, "resolved": 0, "critical_active": 0}
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@router.get("/{contradiction_id}")
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async def get_contradiction(contradiction_id: str) -> Dict[str, Any]:
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"""Get a specific contradiction."""
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return {"id": contradiction_id, "status": "not_found"}
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@router.put("/{contradiction_id}/resolve")
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async def resolve_contradiction(
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contradiction_id: str, body: ContradictionResolve
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) -> Dict[str, Any]:
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"""Resolve a contradiction."""
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return {"id": contradiction_id, "status": body.status, "resolution": body.resolution}
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