Initial commit: prospecting agent loop MVP

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>

sales-agent/src/connectors/__init__.py

@@ -0,0 +1,21 @@
+"""Source connectors. v1 reads placeholder fixtures; swap for real APIs later.
+
+Production mapping (from the design):
+  linkedin -> Proxycurl + Apify
+  news     -> Exa.ai + NewsAPI
+  jobs     -> JSearch (RapidAPI) / Adzuna
+  crm      -> Salesforce / HubSpot REST
+  sec      -> SEC EDGAR
+"""
+import json
+from functools import lru_cache
+from .. import config
+
+
+@lru_cache(maxsize=1)
+def _fixtures() -> dict:
+    return json.loads((config.DATA_DIR / "fixtures.json").read_text())
+
+
+def account_fixture(account_id: str) -> dict:
+    return _fixtures().get(account_id, {})