Files
ProspectingAgentLoop/sales-agent/run.py
Chris Olson c2854ba163 Anthropic OAuth LLM, entitlements (feature 1), renewals, + 7 enhancements
- LLM: Anthropic Sonnet 5 (effort=low) via OAuth Bearer (Claude Code keychain
  token, expiry-aware); NVIDIA/LM Studio endpoints kept commented for switch-back.
- Entitlements: scripts/import_entitlements.py joins ACL export to accounts by
  normalized parent name (324/342 matched; ID column Excel-corrupted), maps
  products->capabilities via data/product_capability_map.json. Raw ACL csv and
  entitlements.json are gitignored (confidential); accounts.json carries derived
  currentProducts + ownedCapabilityIds. Owned capabilities tag briefs EXPANSION.
- Renewals: local renewal-proximity score boost (window 365d, max +0.10) +
  'renewals' report; briefs/digests show RENEWAL WINDOW context.
- Batch runs: loop --limit/--rep with persistent cursor (strategic + stale-first).
- Digests: per-rep HTML export; timestamped digest_<date>_<time>.md kept forever.
- Account narrative memory fed into relevance/synthesis; synthesis maintains it.
- Signal quality gate drops PR fluff pre-LLM; SEC EDGAR filings connector.
- Citation verification: talking points must cite [S#] signals or are dropped.
- Brief filenames use account-name slug; whitespace report + installed-base view.
- USAGE.md: full command/flag/env reference.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-11 19:12:36 -04:00

182 lines
7.3 KiB
Python

#!/usr/bin/env python3
"""CLI entrypoint for the Sales Prospecting Agent Loop (MVP).
Commands:
python run.py loop [--account ID] [--tier strategic|enterprise|growth]
python run.py digest [--rep rep_sarah]
python run.py feedback --brief ID --action act_on|snooze|reject|won|lost [--note "..."]
python run.py recalibrate
python run.py accounts
python run.py briefs
"""
from __future__ import annotations
import argparse
import sys
from src import config, pipeline
from src.connectors import crm, exa
from src.delivery import digest as digest_mod
from src.delivery import whitespace as whitespace_mod
from src.memory import store, feedback
def cmd_loop(args):
if args.no_domain_filter:
config.EXA_DOMAIN_FILTER = False # per-run override
if args.domain_filter:
config.EXA_DOMAIN_FILTER = True
pipeline.run_all(tier=args.tier, account_id=args.account,
limit=args.limit, rep=args.rep)
print("\n--- digest preview ---")
print(digest_mod.write_digest())
def cmd_digest(args):
if args.html:
path = digest_mod.write_digest_html(rep=args.rep)
print(f"HTML digest written: {path}")
else:
print(digest_mod.write_digest(rep_id=args.rep))
def cmd_whitespace(args):
print(whitespace_mod.write_report())
print(f"(also written to {config.OUTPUT_DIR / 'whitespace.md'})")
def cmd_renewals(args):
"""Upcoming renewals across the territory (local entitlement data)."""
import json as _json
from collections import defaultdict
from datetime import datetime, timezone
p = config.DATA_DIR / "entitlements.json"
if not p.exists():
print("No entitlement data. Run: python3 scripts/import_entitlements.py <ACL.csv>")
return
ent = _json.loads(p.read_text())
now = datetime.now(timezone.utc)
horizon = args.months * 31
by_month = defaultdict(list)
for aid, e in ent.items():
for prod in e["products"]:
d = prod.get("nextRenewal")
if not d:
continue
days = (datetime.strptime(d, "%Y-%m-%d").replace(tzinfo=timezone.utc) - now).days
if 0 <= days <= horizon:
by_month[d[:7]].append((d, e["accountName"], prod["product"], prod["lines"]))
print(f"💰 UPCOMING RENEWALS — next {args.months} month(s)\n")
if not by_month:
print(" none in window")
for month in sorted(by_month):
items = sorted(by_month[month])
print(f"── {month} ({len(items)} renewal line-group(s)) " + "" * 20)
for d, name, prod, lines in items[:args.limit]:
print(f" {d} {name[:32]:32} {prod[:58]} ({lines} lines)")
if len(items) > args.limit:
print(f" ... and {len(items) - args.limit} more (use --limit to widen)")
print()
def cmd_feedback(args):
entry = feedback.record_feedback(args.brief, args.action, args.note or "")
print(f"Recorded '{args.action}' on brief {args.brief}. "
f"New status: {store.get_brief(args.brief)['status']}")
def cmd_recalibrate(args):
weights = feedback.recalibrate()
if not weights:
print("Not enough feedback yet (need >=3 samples per capability/tier/signal combo).")
return
print("Updated scoring weights:")
for k, v in weights.items():
print(f" {k}: weight={v['weight']} (n={v['samples']})")
def cmd_accounts(args):
for a in crm.load_accounts():
prods = a.get("currentProducts") or []
has = f"{len(prods)} products, {len(a.get('ownedCapabilityIds') or [])} caps" if prods else "-"
print(f" {a['accountId']:18} {a['accountTier']:10} {a['accountName']:28} "
f"rep={a['assignedRep']['name']} owns: {has}")
def cmd_briefs(args):
briefs = sorted(store.load_briefs(), key=lambda b: b["composite_score"], reverse=True)
if not briefs:
print("No briefs yet. Run: python run.py loop")
return
for b in briefs:
print(f" {b['id']} [{b['priority']:8}] score={b['composite_score']:<5} "
f"status={b['status']:9} {b['account_name']}{b['capability_name']}")
def cmd_exa_usage(args):
st = exa.usage_status()
print("Exa.ai request budget")
print(f" enabled: {st['enabled']}")
print(f" month: {st['month']}")
print(f" used this month: {st['used_this_month']}")
print(f" monthly cap: {st['monthly_cap']}")
print(f" monthly remaining: {st['monthly_remaining']}")
print(f" per-run cap: {st['per_run_cap']}")
if not st["enabled"]:
print(" (Exa disabled — set EXA_API_KEY in .env to enable; using fixtures)")
def main(argv=None):
parser = argparse.ArgumentParser(description="Sales Prospecting Agent Loop (MVP)")
sub = parser.add_subparsers(dest="command", required=True)
p_loop = sub.add_parser("loop", help="Run the harvest->deliver loop")
p_loop.add_argument("--account", help="single account id")
p_loop.add_argument("--tier", choices=["strategic", "enterprise", "growth"])
p_loop.add_argument("--rep", help="only accounts assigned to this rep (name or id substring)")
p_loop.add_argument("--limit", type=int,
help="process at most N accounts (strategic + least-recently-run first); "
"successive runs resume where the last left off")
p_loop.add_argument("--no-domain-filter", action="store_true",
help="broad-web news about the account (default behavior)")
p_loop.add_argument("--domain-filter", action="store_true",
help="scope Exa to the account's own domain (newsroom/press only)")
p_loop.set_defaults(func=cmd_loop)
p_dig = sub.add_parser("digest", help="Print the daily intelligence digest")
p_dig.add_argument("--rep", help="filter to a rep (name substring or rep id)")
p_dig.add_argument("--html", action="store_true",
help="write a forwardable HTML digest to output/digests/")
p_dig.set_defaults(func=cmd_digest)
sub.add_parser("whitespace",
help="Territory coverage report: opportunities, gaps, never-scanned accounts"
).set_defaults(func=cmd_whitespace)
p_ren = sub.add_parser("renewals", help="Upcoming renewals by month (local entitlement data)")
p_ren.add_argument("--months", type=int, default=6, help="horizon in months (default 6)")
p_ren.add_argument("--limit", type=int, default=15, help="max rows shown per month (default 15)")
p_ren.set_defaults(func=cmd_renewals)
p_fb = sub.add_parser("feedback", help="Record rep feedback on a brief")
p_fb.add_argument("--brief", required=True)
p_fb.add_argument("--action", required=True,
choices=["act_on", "snooze", "reject", "won", "lost"])
p_fb.add_argument("--note", default="")
p_fb.set_defaults(func=cmd_feedback)
p_re = sub.add_parser("recalibrate", help="Recompute feedback weights (weekly job)")
p_re.set_defaults(func=cmd_recalibrate)
sub.add_parser("accounts", help="List target accounts").set_defaults(func=cmd_accounts)
sub.add_parser("briefs", help="List all generated briefs").set_defaults(func=cmd_briefs)
sub.add_parser("exa-usage", help="Show Exa.ai request budget").set_defaults(func=cmd_exa_usage)
args = parser.parse_args(argv)
config.ensure_dirs()
args.func(args)
if __name__ == "__main__":
sys.exit(main())