Créer des garde-fous de politique et de sécurité avec GLiDE

import os
import requests

state = {
    "proposed_action": {
        "tool": "send_email",
        "recipient": "customer@example.com",
        "content": "Your refund has been approved."
    },
    "context": {
        "refund_status": "pending_manager_approval",
        "customer_verified": True
    },
    "policy": {
        "rule": "Do not communicate approval until manager approval is recorded."
    }
}

response = requests.post(
    "https://api.fastino.ai/v1/systemone",
    headers={"X-API-Key": os.environ["FASTINO_API_KEY"]},
    json={
        "model": "fastino/GLiDE",
        "state": state,
        "questions": {
            "action": {
                "type": "choice",
                "instructions": "What should happen to the proposed action under the supplied policy?",
                "criteria": {
                    "execute": "The action is clearly allowed and can proceed",
                    "request_approval": "The action requires human approval before execution",
                    "revise": "The action can proceed only after its content or parameters change",
                    "block": "The action conflicts with policy and must not proceed"
                }
            }
        }
    },
    timeout=300,
)
response.raise_for_status()
answer = response.json()["answers"]["action"]

if answer["choice"] == "execute" and answer["confidence"] >= 0.7:
    execute_action()
else:
    require_review(answer)