mirror of
https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
synced 2026-06-17 23:09:35 +00:00
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
1.2 KiB
Python
33 lines
1.2 KiB
Python
from enum import Enum
|
|
from pydantic import BaseModel, Field
|
|
|
|
class OpportunityType(str, Enum):
|
|
DIRECT_CUSTOMER = "direct_customer"
|
|
AGENCY_PARTNER = "agency_partner"
|
|
REFERRAL_PARTNER = "referral_partner"
|
|
CO_SELLING_PARTNER = "co_selling_partner"
|
|
IMPLEMENTATION_PARTNER = "implementation_partner"
|
|
SERVICE_EXCHANGE = "service_exchange"
|
|
INTEGRATION_PARTNER = "integration_partner"
|
|
CONTENT_PARTNER = "content_partner"
|
|
RESELLER_LATER = "reseller_later"
|
|
WHITELABEL_LATER = "whitelabel_later"
|
|
|
|
class Opportunity(BaseModel):
|
|
company_name: str
|
|
opportunity_type: OpportunityType
|
|
fit_score: int = Field(ge=1, le=5)
|
|
urgency_score: int = Field(ge=1, le=5)
|
|
access_score: int = Field(ge=1, le=5)
|
|
partner_score: int = Field(ge=1, le=5)
|
|
payment_score: int = Field(ge=1, le=5)
|
|
risk_score: int = Field(ge=1, le=5)
|
|
total_score: int = 0
|
|
reason: str = ""
|
|
recommended_offer: str = ""
|
|
recommended_channel: str = ""
|
|
|
|
def model_post_init(self, __context):
|
|
self.total_score = (self.fit_score + self.urgency_score + self.access_score +
|
|
self.partner_score + self.payment_score - self.risk_score)
|