mirror of
https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
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18a0d95e3e
New agents: partnership_strategist, negotiation (10 objections), crm_revenue (16 statuses), learning, web_search, enrichment, campaign_orchestrator, competitor_intelligence, content_strategy New engines: - scoring/scoring_engine.py: unified scoring with 9 sector defaults - compliance/compliance_engine.py: channel policy + daily limits + stop words Evals: 10/10 PASS (100%) - Agency → email + agency_partner ✅ - Real estate → email + direct_customer ✅ - Clinic → whatsapp_warm ✅ - Ecommerce → email ✅ - Website agency → linkedin_manual + implementation_partner ✅ - Consulting → linkedin_manual + referral_partner ✅ - All: compliance=allowed, opt-out present, no prohibited actions https://claude.ai/code/session_01W1rJthWDkasijTdXCfxVHs
34 lines
1.6 KiB
Python
34 lines
1.6 KiB
Python
"""Compliance engine — decides what's allowed per channel."""
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import yaml
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from pathlib import Path
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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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_rules = {}
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if RULES_PATH.exists():
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with open(RULES_PATH) as f:
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_rules = yaml.safe_load(f) or {}
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def check_compliance(channel: str, action: str = "send_message") -> dict:
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channel_key = channel.split("_")[0]
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if channel_key == "x":
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channel_key = "x_twitter"
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rules = _rules.get(channel_key, {})
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if any(rules.get(k) == "prohibited" for k in [action, "scraping", "auto_dm", "auto_connect", "mass_dm", "cold_blast"]):
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if action in rules and rules[action] == "prohibited":
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return {"allowed": False, "level": AutomationLevel.PROHIBITED, "reason": f"{action} on {channel} is prohibited"}
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manual_channels = {"linkedin_manual", "whatsapp_warm", "phone", "partner_intro"}
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if channel in manual_channels:
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return {"allowed": True, "level": AutomationLevel.MANUAL_REQUIRED, "reason": f"{channel} requires Sami approval"}
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return {"allowed": True, "level": AutomationLevel.SEMI_AUTOMATED, "reason": f"{channel} is safe with opt-out"}
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def get_daily_limit(channel: str) -> int:
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limits = {"email": 10, "linkedin_manual": 5, "whatsapp_warm": 5, "instagram_inbound": 3, "x_post": 3, "x_reply": 5, "phone": 3, "partner_intro": 2}
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return limits.get(channel, 5)
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STOP_WORDS = ["إيقاف", "stop", "لا", "لا شكراً", "ما يناسبني"]
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def should_stop(reply_text: str) -> bool:
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return any(w in reply_text for w in STOP_WORDS)
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