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
9 lines
311 B
Python
9 lines
311 B
Python
from dealix_gtm_os.agents.base_agent import BaseAgent
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class EnrichmentAgentAgent(BaseAgent):
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name = "enrichment_agent"
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description = "enrichment agent"
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async def run(self, input_data: dict) -> dict:
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return {"status": "stub", "agent": self.name, "note": "Connect real tools in production"}
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