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
26 lines
1.0 KiB
Python
26 lines
1.0 KiB
Python
import json
|
|
from dealix_gtm_os.agents.base_agent import BaseAgent
|
|
from dealix_gtm_os.agents.llm_client import call_llm
|
|
from dealix_gtm_os.models.company import CompanyInput, CompanyIntelligence
|
|
|
|
class CompanyResearchAgent(BaseAgent):
|
|
name = "company_research"
|
|
description = "Understands a company from available data"
|
|
|
|
async def run(self, input_data: dict) -> dict:
|
|
company = CompanyInput(**input_data)
|
|
result_json = await call_llm(
|
|
f"Analyze company: {company.name}, sector: {company.sector}, city: {company.city}",
|
|
context={"sector": company.sector or ""}
|
|
)
|
|
data = json.loads(result_json)
|
|
intel = CompanyIntelligence(
|
|
name=company.name,
|
|
website=company.website,
|
|
sector=company.sector or data.get("sector", "unknown"),
|
|
city=company.city or "",
|
|
confidence=0.7,
|
|
**{k: v for k, v in data.items() if k in CompanyIntelligence.model_fields}
|
|
)
|
|
return intel.model_dump()
|