Chris Olson
9131e83c08
Exa harvester: - EXA_CATEGORY=news (default) restricts to news articles, excluding evergreen careers/marketing landing pages that were producing irrelevant signals. - Event-focused query (acquisition/earnings/launch/leadership), dropped hiring/career terms that pulled recruiting pages. - Domain scoping now OFF by default (broad-web news about the account beats first-party careers pages); add EXA_EXCLUDE_DOMAINS and loop --domain-filter. LLM layer: - Remove the mock reasoner entirely (no provider => loop refuses to run). - On HTTP 429, WAIT (LLM_RATELIMIT_WAIT_SECONDS, default 900s; honors Retry-After) and retry up to LLM_RATELIMIT_MAX_RETRIES (24) instead of degrading to mock output. - If the LLM is ultimately unavailable for an account, skip it and leave its signals unconsumed (retried next run) — never fabricate briefs. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
120 lines
4.4 KiB
Python
120 lines
4.4 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.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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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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print(digest_mod.write_digest(rep_id=args.rep))
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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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print(f" {a['accountId']:18} {a['accountTier']:10} {a['accountName']:28} "
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f"rep={a['assignedRep']['name']} has={a.get('currentProducts') or '[]'}")
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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("--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 id")
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p_dig.set_defaults(func=cmd_digest)
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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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