mirror of
https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
synced 2026-06-18 15:29:36 +00:00
74 lines
2.1 KiB
Python
74 lines
2.1 KiB
Python
from __future__ import annotations
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from dataclasses import dataclass
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from typing import Any, Dict
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SAFE_AUTO_ACTIONS = {
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"read_status",
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"collect_signals",
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"summarize",
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"classify",
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"tag",
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"internal_status_update",
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"research",
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"generate_draft",
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"plan",
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"predictive_analysis",
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}
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APPROVAL_GATED_ACTIONS = {
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"send_whatsapp",
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"send_email",
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"send_linkedin",
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"trigger_voice_call",
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"sync_salesforce",
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"create_charge",
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"publish_content",
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"change_billing_state",
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"modify_lead_routing",
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"send_contract_for_signature",
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"video_generate",
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"music_generate",
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}
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FORBIDDEN_ACTIONS = {
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"exfiltrate_secrets",
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"delete_data_without_audit",
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"bypass_auth",
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"publish_without_approval",
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"destructive_unchecked",
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}
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@dataclass
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class PolicyDecision:
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action: str
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action_class: str # A, B, C
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allowed: bool
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requires_approval: bool
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reason: str
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def as_dict(self) -> Dict[str, Any]:
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return {
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"action": self.action,
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"class": self.action_class,
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"allowed": self.allowed,
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"requires_approval": self.requires_approval,
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"reason": self.reason,
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}
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def classify_action(action: str) -> PolicyDecision:
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act = (action or "").strip()
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if not act:
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return PolicyDecision(action=act, action_class="C", allowed=False, requires_approval=False, reason="empty_action")
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if act in FORBIDDEN_ACTIONS:
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return PolicyDecision(action=act, action_class="C", allowed=False, requires_approval=False, reason="forbidden_action")
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if act in APPROVAL_GATED_ACTIONS:
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return PolicyDecision(action=act, action_class="B", allowed=True, requires_approval=True, reason="approval_required")
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if act in SAFE_AUTO_ACTIONS:
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return PolicyDecision(action=act, action_class="A", allowed=True, requires_approval=False, reason="safe_auto")
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# default to approval-gated for unknown actions
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return PolicyDecision(action=act, action_class="B", allowed=True, requires_approval=True, reason="unknown_action_requires_approval")
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