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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
1.7 KiB
Python
33 lines
1.7 KiB
Python
from dealix_gtm_os.agents.base_agent import BaseAgent
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from dealix_gtm_os.models.message import ChannelType, AutomationLevel
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SECTOR_CHANNELS = {
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"agency": (ChannelType.EMAIL, ChannelType.LINKEDIN_MANUAL),
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"real_estate": (ChannelType.EMAIL, ChannelType.WHATSAPP_WARM),
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"clinic": (ChannelType.WHATSAPP_WARM, ChannelType.EMAIL),
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"saas": (ChannelType.EMAIL, ChannelType.LINKEDIN_MANUAL),
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"ecommerce": (ChannelType.EMAIL, ChannelType.INSTAGRAM_INBOUND),
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"construction": (ChannelType.EMAIL, ChannelType.PHONE),
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"training": (ChannelType.EMAIL, ChannelType.WHATSAPP_WARM),
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"consulting": (ChannelType.LINKEDIN_MANUAL, ChannelType.EMAIL),
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"website_agency": (ChannelType.LINKEDIN_MANUAL, ChannelType.EMAIL),
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}
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class ChannelStrategyAgent(BaseAgent):
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name = "channel_strategy"
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description = "Selects best outreach channel per target"
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async def run(self, input_data: dict) -> dict:
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sector = input_data.get("sector", "").lower().replace(" ", "_")
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channels = SECTOR_CHANNELS.get(sector, (ChannelType.EMAIL, ChannelType.LINKEDIN_MANUAL))
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primary, secondary = channels
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manual_channels = {ChannelType.LINKEDIN_MANUAL, ChannelType.WHATSAPP_WARM, ChannelType.PHONE}
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level = AutomationLevel.MANUAL_REQUIRED if primary in manual_channels else AutomationLevel.SEMI_AUTOMATED
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return {
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"primary_channel": primary.value,
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"secondary_channel": secondary.value,
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"automation_level": level.value,
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"reason": f"Sector {sector} best reached via {primary.value}",
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"risk_flags": ["manual_approval_required"] if level == AutomationLevel.MANUAL_REQUIRED else [],
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}
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