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>
This commit is contained in:
2026-06-23 11:39:59 -04:00
commit 39a338990f
35 changed files with 4020 additions and 0 deletions

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"""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, {})

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"""CRM connector (v1 reads data/accounts.json -> Salesforce/HubSpot in production).
Provides read (account context) and write-back (activity logging) stubs.
"""
from __future__ import annotations
import json
from functools import lru_cache
from .. import config
@lru_cache(maxsize=1)
def _accounts() -> list[dict]:
return json.loads((config.DATA_DIR / "accounts.json").read_text())["accounts"]
def load_accounts(tier: str | None = None, account_id: str | None = None) -> list[dict]:
accts = _accounts()
if account_id:
accts = [a for a in accts if a["accountId"] == account_id]
if tier:
accts = [a for a in accts if a["accountTier"] == tier]
return accts
def get_account(account_id: str) -> dict | None:
for a in _accounts():
if a["accountId"] == account_id:
return a
return None
def log_activity(account_id: str, brief: dict) -> None:
"""Write-back stub. Production: create a Salesforce/HubSpot Task + activity."""
print(
f" [CRM] logged activity on {account_id}: "
f"\"{brief['headline']}\" -> task assigned to {brief['assigned_rep']['name']}"
)

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"""Exa.ai news/web harvester (real API) with hard request ceilings.
Free-plan protection (the whole point of this module):
* A persistent MONTHLY counter in output/state/exa_usage.json, reset each
calendar month. Once EXA_MONTHLY_REQUEST_CAP is hit, no more calls are made.
* A PER-RUN counter (process-local) capped at EXA_PER_RUN_REQUEST_CAP.
A request is only counted when an HTTP response actually comes back from Exa
(i.e. a billable call). Network failures that never reach Exa are not counted.
Returns:
list[RawSignal] on a successful call (may be empty if Exa found no news)
None when Exa is disabled, a cap is reached, or the call errored
-> signals the news harvester to fall back to fixtures.
"""
from __future__ import annotations
import json
import urllib.request
import urllib.error
from datetime import timedelta
from .. import config
from ..types import RawSignal, now_utc, iso
_ENDPOINT = "https://api.exa.ai/search"
# Process-local counter -> enforces the per-run cap (resets every CLI invocation).
_run_count = 0
def _usage_path():
return config.STATE_DIR / "exa_usage.json"
def _current_month() -> str:
return now_utc().strftime("%Y-%m")
def _load_usage() -> dict:
config.ensure_dirs()
p = _usage_path()
if p.exists():
data = json.loads(p.read_text())
if data.get("month") == _current_month():
return data
# New file or a new month -> reset the counter.
return {"month": _current_month(), "count": 0}
def _save_usage(data: dict) -> None:
config.ensure_dirs()
_usage_path().write_text(json.dumps(data, indent=2))
def usage_status() -> dict:
"""Snapshot of current budget, for the CLI / startup banner."""
u = _load_usage()
return {
"enabled": config.EXA_ENABLED,
"month": u["month"],
"used_this_month": u["count"],
"monthly_cap": config.EXA_MONTHLY_REQUEST_CAP,
"monthly_remaining": max(0, config.EXA_MONTHLY_REQUEST_CAP - u["count"]),
"per_run_used": _run_count,
"per_run_cap": config.EXA_PER_RUN_REQUEST_CAP,
}
def _within_caps() -> tuple[bool, str]:
if _run_count >= config.EXA_PER_RUN_REQUEST_CAP:
return False, f"per-run cap reached ({config.EXA_PER_RUN_REQUEST_CAP})"
u = _load_usage()
if u["count"] >= config.EXA_MONTHLY_REQUEST_CAP:
return False, f"monthly cap reached ({config.EXA_MONTHLY_REQUEST_CAP})"
return True, ""
def _count_request() -> None:
global _run_count
_run_count += 1
u = _load_usage()
u["count"] += 1
_save_usage(u)
def _build_query(account: dict, domain_scoped: bool) -> str:
name = account["accountName"]
if domain_scoped:
# Domain is already restricting results, so keep the query topical/broad.
return (
f"{name} announcements: funding, acquisition, merger, leadership change, "
f"strategy, restructuring, product launch, hiring, earnings, partnership"
)
# No domain restriction -> anchor harder on the company name to limit drift.
return (
f'"{name}" company news: funding, acquisition, merger, leadership change, '
f"strategy, restructuring, product launch, hiring, earnings, partnership"
)
def harvest_news(account: dict) -> list[RawSignal] | None:
if not config.EXA_ENABLED:
return None
ok, reason = _within_caps()
if not ok:
print(f" [exa] skipped — {reason}; staying within free plan (using fixtures)")
return None
start = iso(now_utc() - timedelta(days=config.EXA_LOOKBACK_DAYS))
domain = (account.get("domain") or "").strip()
domain_scoped = config.EXA_DOMAIN_FILTER and bool(domain)
payload = {
"query": _build_query(account, domain_scoped),
"type": "auto",
"numResults": config.EXA_RESULTS_PER_QUERY,
"startPublishedDate": start,
"contents": {"text": {"maxCharacters": 1000}},
}
if domain_scoped:
payload["includeDomains"] = [domain]
req = urllib.request.Request(
_ENDPOINT,
data=json.dumps(payload).encode("utf-8"),
headers={"content-type": "application/json", "x-api-key": config.EXA_API_KEY},
method="POST",
)
try:
with urllib.request.urlopen(req, timeout=30) as resp:
body = json.loads(resp.read().decode("utf-8"))
except urllib.error.HTTPError as e:
# The call reached Exa (billable) but returned an error status.
_count_request()
detail = e.read().decode("utf-8")[:200] if hasattr(e, "read") else ""
print(f" [exa] HTTP {e.code}: {detail} — falling back to fixtures")
return None
except urllib.error.URLError as e:
# Never reached Exa -> not counted.
print(f" [exa] network error ({e.reason}) — falling back to fixtures")
return None
_count_request() # successful billable request
results = body.get("results", []) or []
signals: list[RawSignal] = []
for r in results:
title = (r.get("title") or "").strip()
text = (r.get("text") or "").strip()
if not (title or text):
continue
content = f"{title}. {text}" if title else text
signals.append(
RawSignal(
account_id=account["accountId"],
source="news",
signal_type="news_article",
content=content[:1200],
published_at=r.get("publishedDate") or iso(now_utc()),
url=r.get("url", ""),
extra={"title": title, "exa_score": r.get("score"), "via": "exa",
"domain_scoped": domain_scoped},
)
)
remaining = usage_status()["monthly_remaining"]
scope = f"domain={domain}" if domain_scoped else "broad web"
print(f" [exa] {len(signals)} article(s) for {account['accountName']} ({scope}) "
f"(monthly budget left: {remaining}/{config.EXA_MONTHLY_REQUEST_CAP})")
return signals

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"""Job posting harvester (v1 placeholder -> JSearch/Adzuna in production)."""
from __future__ import annotations
from ..types import RawSignal
from . import account_fixture
def harvest(account: dict) -> list[RawSignal]:
out: list[RawSignal] = []
for item in account_fixture(account["accountId"]).get("jobs", []):
count = item.get("count", 1)
prefix = f"[{count} openings] " if count > 1 else ""
out.append(
RawSignal(
account_id=account["accountId"],
source="jobs",
signal_type="hiring_surge" if count > 1 else "job_posting",
content=f"{prefix}{item['title']}: {item['content']}",
published_at=item["publishedAt"],
url=item["url"],
extra={"title": item["title"], "count": count},
)
)
return out

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"""LinkedIn harvester (v1 placeholder -> Proxycurl/Apify in production)."""
from __future__ import annotations
from ..types import RawSignal
from . import account_fixture
def harvest(account: dict) -> list[RawSignal]:
out: list[RawSignal] = []
for item in account_fixture(account["accountId"]).get("linkedin", []):
out.append(
RawSignal(
account_id=account["accountId"],
source="linkedin",
signal_type="executive_post",
content=item["content"],
published_at=item["publishedAt"],
url=item["url"],
author=item.get("author"),
engagement=item.get("engagement"),
)
)
return out

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"""News/Web harvester.
Uses the real Exa.ai connector when enabled (and within its request ceiling);
otherwise falls back to placeholder fixtures so the loop still runs offline.
"""
from __future__ import annotations
from ..types import RawSignal
from . import account_fixture
from . import exa
def _from_fixtures(account: dict) -> list[RawSignal]:
out: list[RawSignal] = []
for item in account_fixture(account["accountId"]).get("news", []):
out.append(
RawSignal(
account_id=account["accountId"],
source="news",
signal_type="press_release",
content=f"{item.get('title', '')}. {item['content']}",
published_at=item["publishedAt"],
url=item["url"],
extra={"title": item.get("title", ""), "via": "fixture"},
)
)
return out
def harvest(account: dict) -> list[RawSignal]:
# Real source first; None means disabled/capped/errored -> use fixtures.
via_exa = exa.harvest_news(account)
if via_exa is not None:
return via_exa
return _from_fixtures(account)