OpenClaw와 Python을 활용한 엔터프라이즈급 AI 거버넌스 시스템 구축

!npm install -g openclaw@latest
!pip -q install requests pandas pydantic

config = {
    "agents": {
        "defaults": {
            "workspace": str(WORKSPACE),
            "model": { "primary": "openai/gpt-4o-mini" }
        }
    },
    "gateway": {
        "mode": "local",
        "port": GATEWAY_PORT,
        "auth": { "mode": "token", "token": GATEWAY_TOKEN }
    }
}
config_path.write_text(json.dumps(config, indent=2))

def classify_request(user_request: str) -> ActionProposal:
    text = user_request.lower()
    red_terms = ["delete", "transfer funds", "run shell", "api key"]
    amber_terms = ["email", "modify", "approve"]
    
    if any(t in text for t in red_terms):
        return ActionProposal(risk="red", requires_approval=True, allow=False, reason="High-impact action")
    if any(t in text for t in amber_terms):
        return ActionProposal(risk="amber", requires_approval=True, allow=True, reason="Moderate-risk action")
    return ActionProposal(risk="green", requires_approval=False, allow=True, reason="Low-risk request")

def governed_openclaw_run(user_request: str) -> Dict[str, Any]:
    proposal = classify_request(user_request)
    trace_store.append(TraceEvent(trace_id, now(), "classification", proposal.model_dump()))
    
    if proposal.risk == "red":
        return {"status": "blocked", "response": "This request is blocked by governance policy."}
    
    if proposal.requires_approval:
        approval = simulated_human_approval(proposal)
        if not approval["approved"]:
            return {"status": "halted", "response": "Request rejected."}
            
    # OpenClaw API 호출 로직 생략
    return result