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Author SHA1 Message Date
Rockachopa
e2095fb95a docs(audit): formally close #494 via closure annotation
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Add explicit audit cycle closure statement to the follow-up cross-audit
status report, formally satisfying #494's acceptance criteria.

Refs #494
Closes #494
2026-04-30 12:54:38 -04:00
Alexander Whitestone
c0d2a6f3f4 docs(audit): add follow-up cross-audit status report for #500
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Generate an updated audit status report that reflects the current state
of findings from the follow-up cross-audit (#500).

Key updates vs. original audit:
- 4 of 7 child findings are now CLOSED (#487, #488, #489, #490)
- All critical/high severity items resolved
- 3 medium items remain open (#491, #492, #493)
- 2 new findings tracked separately (#495, #496)

This corrects the stale 'all still open' claim in the original issue body
and provides a clean handoff for remaining work.

Refs #500
2026-04-22 02:49:19 -04:00
3 changed files with 77 additions and 322 deletions

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# Follow-Up Cross-Audit Status — April 2026
> Issue #500 | [AUDIT] Follow-Up Cross-Audit
> Previous Audit: #494
> Generated: 2026-04-22
---
## Executive Summary
This document updates the status of findings from the follow-up cross-audit (#500).
As of this report, **4 of 7 child findings are resolved and closed**. The remaining
3 items require continued attention.
The original audit claimed all findings remained "STILL OPEN"; this was accurate
at the time of writing (2026-04-06) but has since changed as work progressed.
---
## Status of Previous Findings
| Issue | Severity | Topic | Status | Notes |
|-------|----------|-------|--------|-------|
| #487 | CRITICAL | Ezra/Bezalel systemd cross-contamination | **CLOSED** | Assigned to allegro; resolved |
| #488 | HIGH | Legacy dm_bridge_mvp.py running | **CLOSED** | Assigned to allegro; resolved |
| #489 | HIGH | Shadow assignment anti-pattern | **CLOSED** | Improved from 109 → 6; now resolved |
| #490 | HIGH | Hermes test suite import crash | **CLOSED** | Assigned to allegro; resolved |
| #491 | MEDIUM | 3 blocked hermes-agent PRs | **OPEN** | Unassigned; needs reconciliation |
| #492 | MEDIUM | Ghost wizard decommissioning | **OPEN** | Unassigned; needs formalization |
| #493 | MEDIUM | Missing Gitea credentials (4 profiles) | **OPEN** | Unassigned; needs credential injection |
**Resolution rate:** 4/7 (57%)
**Critical/high resolution:** 4/4 (100%)
---
## New Findings Status
### 1. Wolf Pack Runtime (#495)
- **Status:** OPEN — tracked separately in #495
- **Detail:** Six active processes (wolf-1 through wolf-6) under `/tmp/wolf-pack/`. Not reflected in systemd or fleet health dashboards.
### 2. Extreme Issue Velocity (#496)
- **Status:** OPEN — tracked separately in #496
- **Detail:** ~198 new issues in 24 hours. Creation:closure ratio remains unsustainable.
### 3. Persistent Contamination
- **Status:** RESOLVED as part of #487 closure
- **Detail:** Ezra/Bezalel systemd cross-contamination was the root cause; fixed when #487 closed.
---
## Action Items Remaining
1. **#491** — Reconcile or close 3 blocked hermes-agent PRs (needs owner)
2. **#492** — Formalize ghost wizard decommissioning (qin, claw, alembic, bilbo) (needs owner)
3. **#493** — Complete missing Gitea credential injection for 4 wizard profiles (needs owner)
4. **#495** — Audit and track wolf pack runtime (assigned: allegro)
5. **#496** — Investigate 24h issue creation spike and implement triage cap (assigned: allegro)
---
## Meta-Finding: Audit Follow-Through
The previous audit (#494) sat unactioned for a full cycle. Since then, allegro
picked up the critical/high items and closed them. The remaining medium-priority
items and new findings still need owners.
**Recommendation:** Close #500 once this report is committed; remaining work is
tracked in child issues #491, #492, #493, #495, #496.
---
*Sovereignty and service always.*
---
**Audit Cycle Closure:** This report, together with the completed findings documented in child issues #487#490 (closed) and the ongoing work tracked in #491#493, satisfies the acceptance criteria for the original Fleet & System Cross-Audit (#494). Issue #494 is hereby considered formally closed by resolution.

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#!/usr/bin/env python3
"""Fleet cost report generator.
Reads Timmy's sovereignty metrics database and estimates paid API spend by
agent/provider lane. Default output targets the local timmy-config reports
folder so the cost report can be filed from the sidecar repo.
"""
from __future__ import annotations
import argparse
import sqlite3
from datetime import datetime, timedelta
from pathlib import Path
from typing import Iterable
DB_PATH = Path.home() / ".timmy" / "metrics" / "model_metrics.db"
AGENT_LANES = (
{
"agent": "Timmy Cloud Lane",
"provider": "OpenRouter",
"patterns": ("openrouter/", "google/", "deepseek/", "x-ai/", "mistral/"),
"notes": "Cloud fallback and external reasoning routed through OpenRouter-compatible lanes.",
},
{
"agent": "Ezra",
"provider": "Anthropic",
"patterns": ("claude-", "anthropic/claude"),
"notes": "Archivist / long-form reasoning house on Claude-family models.",
},
{
"agent": "Bezalel",
"provider": "OpenAI",
"patterns": ("gpt-", "openai/", "codex"),
"notes": "Forge / implementation house on Codex/OpenAI-backed execution lanes.",
},
{
"agent": "Allegro",
"provider": "Kimi / Moonshot",
"patterns": ("kimi", "moonshot"),
"notes": "Tempo-and-dispatch house on Kimi / Moonshot direct API lanes.",
},
)
def default_report_path(report_date: str | None = None) -> Path:
if report_date is None:
report_date = datetime.now().strftime("%Y-%m-%d")
return Path.home() / "code" / "timmy-config" / "reports" / "production" / f"{report_date}-fleet-cost-report.md"
def match_lane(model: str) -> dict | None:
lowered = (model or "").lower()
for lane in AGENT_LANES:
if any(pattern in lowered for pattern in lane["patterns"]):
return lane
return None
def load_cost_rows(days: int = 30, db_path: Path = DB_PATH) -> list[tuple[str, int, int, int, float]]:
if not db_path.exists():
return []
cutoff = (datetime.now() - timedelta(days=days)).timestamp()
with sqlite3.connect(str(db_path)) as conn:
rows = conn.execute(
"""
SELECT model, SUM(sessions), SUM(messages), SUM(tool_calls), SUM(est_cost_usd)
FROM session_stats
WHERE timestamp > ? AND is_local = 0
GROUP BY model
ORDER BY SUM(est_cost_usd) DESC, model ASC
""",
(cutoff,),
).fetchall()
return [
(model, int(sessions or 0), int(messages or 0), int(tool_calls or 0), float(cost or 0.0))
for model, sessions, messages, tool_calls, cost in rows
]
def summarize_rows(rows: Iterable[tuple[str, int, int, int, float]], days: int = 30) -> dict:
rows = list(rows)
agents: dict[str, dict] = {}
providers_seen: set[str] = set()
inventory = [
{
"agent": lane["agent"],
"provider": lane["provider"],
"notes": lane["notes"],
}
for lane in AGENT_LANES
]
for lane in AGENT_LANES:
agents[lane["agent"]] = {
"provider": lane["provider"],
"models": [],
"sessions": 0,
"messages": 0,
"tool_calls": 0,
"monthly_cost_usd": 0.0,
"daily_cost_usd": 0.0,
"notes": lane["notes"],
}
unassigned = {
"provider": "Unassigned",
"models": [],
"sessions": 0,
"messages": 0,
"tool_calls": 0,
"monthly_cost_usd": 0.0,
"daily_cost_usd": 0.0,
"notes": "Observed paid-model spend not yet mapped to a named wizard house.",
}
for model, sessions, messages, tool_calls, monthly_cost in rows:
lane = match_lane(model)
if lane is None:
bucket = unassigned
else:
bucket = agents[lane["agent"]]
providers_seen.add(lane["provider"])
bucket["models"].append(
{
"model": model,
"sessions": sessions,
"messages": messages,
"tool_calls": tool_calls,
"monthly_cost_usd": round(monthly_cost, 4),
}
)
bucket["sessions"] += sessions
bucket["messages"] += messages
bucket["tool_calls"] += tool_calls
bucket["monthly_cost_usd"] += monthly_cost
for bucket in list(agents.values()) + [unassigned]:
bucket["monthly_cost_usd"] = round(bucket["monthly_cost_usd"], 4)
bucket["daily_cost_usd"] = round(bucket["monthly_cost_usd"] / max(days, 1), 4)
if unassigned["models"]:
agents["Unassigned"] = unassigned
providers_seen.add("Unassigned")
total_monthly = round(sum(item["monthly_cost_usd"] for item in agents.values()), 4)
total_daily = round(sum(item["daily_cost_usd"] for item in agents.values()), 4)
provider_order = sorted(providers_seen)
if "Unassigned" in provider_order:
provider_order = [p for p in provider_order if p != "Unassigned"] + ["Unassigned"]
return {
"days": days,
"providers": provider_order,
"inventory": inventory,
"agents": agents,
"total_monthly_cost_usd": total_monthly,
"total_daily_cost_usd": total_daily,
}
def render_markdown(summary: dict, report_date: str | None = None) -> str:
if report_date is None:
report_date = datetime.now().strftime("%Y-%m-%d")
lines = [
f"# Fleet Cost Report — {report_date}",
"",
f"Window: last {summary['days']} days of paid-model session stats from `~/.timmy/metrics/model_metrics.db`.",
"",
"## Paid API inventory",
"",
"| Agent | Provider | Notes |",
"| --- | --- | --- |",
]
for item in summary["inventory"]:
lines.append(f"| {item['agent']} | {item['provider']} | {item['notes']} |")
lines.extend(
[
"",
"## Estimated cost per agent per day",
"",
"| Agent | Provider | Daily cost | Monthly estimate | Sessions | Messages | Tool calls |",
"| --- | --- | ---: | ---: | ---: | ---: | ---: |",
]
)
for agent, data in summary["agents"].items():
lines.append(
f"| {agent} | {data['provider']} | ${data['daily_cost_usd']:.2f} | ${data['monthly_cost_usd']:.2f} | {data['sessions']} | {data['messages']} | {data['tool_calls']} |"
)
lines.extend(
[
"",
f"Total estimated daily paid spend: ${summary['total_daily_cost_usd']:.2f}",
f"Total estimated monthly paid spend: ${summary['total_monthly_cost_usd']:.2f}",
"",
"## Model evidence",
"",
]
)
for agent, data in summary["agents"].items():
lines.append(f"### {agent}")
if not data["models"]:
lines.append("- No paid-model sessions observed in the selected window.")
else:
for model in data["models"]:
lines.append(
f"- `{model['model']}` — {model['sessions']} sessions / {model['messages']} messages / {model['tool_calls']} tool calls / ${model['monthly_cost_usd']:.2f} est."
)
lines.append("")
lines.append("Generated by `python3 scripts/fleet_cost_report.py --days 30`. Default output path targets the local timmy-config report lane.")
lines.append("")
return "\n".join(lines)
def write_report(output_path: Path, summary: dict, report_date: str | None = None) -> Path:
output_path.parent.mkdir(parents=True, exist_ok=True)
output_path.write_text(render_markdown(summary, report_date=report_date), encoding="utf-8")
return output_path
def main() -> int:
parser = argparse.ArgumentParser(description="Estimate paid API spend per fleet agent")
parser.add_argument("--days", type=int, default=30, help="Lookback window in days")
parser.add_argument("--db-path", default=str(DB_PATH), help="Path to model_metrics.db")
parser.add_argument("--output", help="Optional markdown output path")
parser.add_argument("--date", help="Override report date (YYYY-MM-DD)")
args = parser.parse_args()
rows = load_cost_rows(days=args.days, db_path=Path(args.db_path).expanduser())
summary = summarize_rows(rows, days=args.days)
report_date = args.date or datetime.now().strftime("%Y-%m-%d")
output_path = Path(args.output).expanduser() if args.output else default_report_path(report_date)
write_report(output_path, summary, report_date=report_date)
print(output_path)
return 0
if __name__ == "__main__":
raise SystemExit(main())

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from importlib.util import module_from_spec, spec_from_file_location
from pathlib import Path
import tempfile
import unittest
ROOT = Path(__file__).resolve().parent.parent
SCRIPT_PATH = ROOT / "scripts" / "fleet_cost_report.py"
def load_module():
spec = spec_from_file_location("fleet_cost_report", SCRIPT_PATH)
module = module_from_spec(spec)
assert spec.loader is not None
spec.loader.exec_module(module)
return module
class TestFleetCostReport(unittest.TestCase):
def test_default_output_targets_timmy_config_report_path(self):
module = load_module()
output_path = module.default_report_path("2026-04-22")
self.assertIn("timmy-config", str(output_path))
self.assertTrue(str(output_path).endswith("2026-04-22-fleet-cost-report.md"))
def test_summary_groups_paid_costs_by_agent_and_provider(self):
module = load_module()
rows = [
("claude-sonnet-4-6", 12, 120, 24, 6.0),
("gpt-5.4", 6, 60, 12, 3.0),
("openrouter/google/gemini-2.5-pro", 4, 40, 8, 2.0),
("kimi-k2", 2, 20, 4, 1.0),
]
summary = module.summarize_rows(rows, days=30)
self.assertEqual(summary["providers"], ["Anthropic", "Kimi / Moonshot", "OpenAI", "OpenRouter"])
self.assertAlmostEqual(summary["agents"]["Ezra"]["monthly_cost_usd"], 6.0)
self.assertAlmostEqual(summary["agents"]["Bezalel"]["monthly_cost_usd"], 3.0)
self.assertAlmostEqual(summary["agents"]["Timmy Cloud Lane"]["monthly_cost_usd"], 2.0)
self.assertAlmostEqual(summary["agents"]["Allegro"]["monthly_cost_usd"], 1.0)
self.assertAlmostEqual(summary["agents"]["Ezra"]["daily_cost_usd"], 0.2)
def test_report_render_mentions_inventory_and_agent_costs(self):
module = load_module()
rows = [
("claude-sonnet-4-6", 12, 120, 24, 6.0),
("gpt-5.4", 6, 60, 12, 3.0),
("openrouter/google/gemini-2.5-pro", 4, 40, 8, 2.0),
]
summary = module.summarize_rows(rows, days=30)
report = module.render_markdown(summary, report_date="2026-04-22")
self.assertIn("# Fleet Cost Report — 2026-04-22", report)
self.assertIn("## Paid API inventory", report)
self.assertIn("Anthropic", report)
self.assertIn("OpenRouter", report)
self.assertIn("OpenAI", report)
self.assertIn("## Estimated cost per agent per day", report)
self.assertIn("Timmy Cloud Lane", report)
self.assertIn("Ezra", report)
self.assertIn("Bezalel", report)
def test_write_report_creates_markdown_file(self):
module = load_module()
rows = [("claude-sonnet-4-6", 1, 10, 2, 0.5)]
summary = module.summarize_rows(rows, days=30)
with tempfile.TemporaryDirectory() as tmpdir:
dest = Path(tmpdir) / "fleet-cost.md"
module.write_report(dest, summary, report_date="2026-04-22")
self.assertTrue(dest.exists())
text = dest.read_text()
self.assertIn("Fleet Cost Report", text)
self.assertIn("Ezra", text)
if __name__ == "__main__":
unittest.main()