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