Chris Olson
39a338990f
Closed-loop account-intelligence system: harvest -> relevance filter vs. Capability Library -> synthesize -> score -> deliver -> feedback. - 40-capability Broadcom + VMware library - Live Exa.ai news connector with hard free-plan request ceilings - Provider-agnostic LLM layer (Gemini/Anthropic) with offline mock fallback - LLM confidence wired into composite scoring + low-confidence floor - 7-account pilot list Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
22 lines
568 B
Python
22 lines
568 B
Python
"""Source connectors. v1 reads placeholder fixtures; swap for real APIs later.
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Production mapping (from the design):
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linkedin -> Proxycurl + Apify
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news -> Exa.ai + NewsAPI
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jobs -> JSearch (RapidAPI) / Adzuna
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crm -> Salesforce / HubSpot REST
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sec -> SEC EDGAR
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"""
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import json
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from functools import lru_cache
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from .. import config
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@lru_cache(maxsize=1)
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def _fixtures() -> dict:
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return json.loads((config.DATA_DIR / "fixtures.json").read_text())
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def account_fixture(account_id: str) -> dict:
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return _fixtures().get(account_id, {})
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