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https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
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20277e0afc
8 agents + 4 models + 4 configs + CLI dry-run + 3 docs. Tested on agency/real_estate/clinic/saas — all pass. Safety: LinkedIn scraping PROHIBITED, WhatsApp blast PROHIBITED. https://claude.ai/code/session_01W1rJthWDkasijTdXCfxVHs
33 lines
1.6 KiB
Python
33 lines
1.6 KiB
Python
import yaml
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from pathlib import Path
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from dealix_gtm_os.agents.base_agent import BaseAgent
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from dealix_gtm_os.models.message import AutomationLevel
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RULES_PATH = Path(__file__).parent.parent / "config" / "compliance_rules.yaml"
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class ComplianceAgent(BaseAgent):
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name = "compliance"
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description = "Enforces platform safety rules"
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def __init__(self):
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if RULES_PATH.exists():
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with open(RULES_PATH) as f:
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self.rules = yaml.safe_load(f)
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else:
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self.rules = {}
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async def run(self, input_data: dict) -> dict:
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channel = input_data.get("channel", "email")
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action = input_data.get("action", "send_message")
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channel_key = channel.replace("_manual", "").replace("_warm", "").replace("_inbound", "").replace("_post", "").replace("_reply", "")
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if channel_key == "linkedin":
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channel_key = "linkedin"
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elif channel_key in ("x", "twitter"):
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channel_key = "x_twitter"
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rules = self.rules.get(channel_key, {})
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if rules.get(action) == "prohibited" or rules.get("scraping") == "prohibited" and action == "scraping":
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return {"allowed": False, "level": AutomationLevel.PROHIBITED.value, "reason": f"{action} on {channel} is prohibited by platform policy"}
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if channel in ("linkedin_manual", "whatsapp_warm", "phone"):
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return {"allowed": True, "level": AutomationLevel.MANUAL_REQUIRED.value, "reason": f"{channel} requires manual human approval"}
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return {"allowed": True, "level": AutomationLevel.SEMI_AUTOMATED.value, "reason": f"{channel} is safe with opt-out"}
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