Close the three gaps the scoring report itself flagged for H6 plus V15, each as a real MVP + fail-able adversarial test (same pattern that lifted H5): - D1 alert-dispatch.sh: alerts POST to a real HTTP webhook (severity routing, dedup window, retry) + dead-letter queue with redelivery; fail-loud in strict. Wired into agent-metrics.sh so a failing step pages live end-to-end. - D2 provider-usage-fetch.sh + telemetry-reconcile.sh: pull usage from a provider usage HTTP API (all-or-nothing schema gate, fail-loud) + reconcile local vs provider ground truth — token under-reporting/hidden runs => TELEMETRY_DISCREPANCY. - D3 dashboard-serve.sh + dashboard-server.py: serve the dashboard over HTTP with a stale-aware /healthz probe (fresh=200 ok, telemetry silent-death=503 stale). - D4 circuit-breaker-check.sh: sliding-window failure-rate breaker (V15) — interleaved successes no longer evade the consecutive-failure breaker (CIRCUIT_OPEN_WINDOW). New suite phase-h6-agentops-tests.sh: 20/20, all live against local HTTP endpoints (webhook sink, mock provider API, dashboard server) — deterministic, no model needed. Also fix sign-policy-bundle.sh key-sync invariant: the local-fallback branch only exported policy-public.pem when generating a NEW key, so a Vault-DOWN run after a Vault-signed run verified a local-key signature against the Vault pubkey (RSA padding error, run-casan4 died mid-suite). Now always re-exports the pubkey before signing — same fix class as tool-audit-lib.sh / governance-check.sh. Full battery re-run sequentially: 175/175 PASS, 0 FAIL across 8 suites (KMS SKIP this run — Vault down; validated live 2026-07-04). Docs synced: scoring-run-report (H6 79→80, no harness below 80, 155→175), CASAN_HARDENING_STATUS (Phase 5 D1–D4), Plan-07, submission README, and run-hardening.sh (H6+ scenes HO1–HO4). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
69 lines
2.3 KiB
Bash
69 lines
2.3 KiB
Bash
#!/usr/bin/env bash
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set -uo pipefail
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# CASAN H6 — local-vs-provider telemetry reconciliation (D2).
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# Provider-API usage records are the billing ground truth; local metrics must
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# not under-report tokens (the cost-hiding attack: trim local metrics so a
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# runaway/exfil step looks cheap). Per step, local claimed tokens must cover
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# provider-reported tokens within a tolerance; a provider step entirely absent
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# from local metrics is also a discrepancy (hidden run).
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#
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# Usage: telemetry-reconcile.sh <local-metrics.jsonl> <provider-usage.jsonl> [tolerance_pct]
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#
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# Greppable outputs: TELEMETRY_RECONCILED | TELEMETRY_DISCREPANCY
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LOCAL_LOG="${1:-}"
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PROVIDER_LOG="${2:-}"
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TOLERANCE_PCT="${3:-10}"
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if [[ -z "$LOCAL_LOG" || -z "$PROVIDER_LOG" || ! -f "$PROVIDER_LOG" ]]; then
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echo "Usage: telemetry-reconcile.sh <local-metrics.jsonl> <provider-usage.jsonl> [tolerance_pct]" >&2
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exit 64
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fi
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python - "$LOCAL_LOG" "$PROVIDER_LOG" "$TOLERANCE_PCT" <<'PY'
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import json
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import sys
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local_path, provider_path, tol_pct = sys.argv[1], sys.argv[2], float(sys.argv[3])
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def sums_by_step(path):
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totals = {}
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try:
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with open(path, encoding="utf-8") as fh:
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for line in fh:
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line = line.strip()
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if not line:
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continue
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rec = json.loads(line)
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step = rec.get("step")
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if step is None:
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continue
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totals[step] = totals.get(step, 0) + int(rec.get("total_tokens", 0))
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except OSError:
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pass
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return totals
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local = sums_by_step(local_path)
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provider = sums_by_step(provider_path)
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if not provider:
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raise SystemExit("TELEMETRY_DISCREPANCY provider log empty — nothing to reconcile against")
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issues = []
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for step, prov_tokens in sorted(provider.items()):
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loc_tokens = local.get(step)
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if loc_tokens is None:
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issues.append(f"step={step} local=MISSING provider={prov_tokens}")
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continue
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floor = prov_tokens * (1 - tol_pct / 100.0)
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if loc_tokens < floor:
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issues.append(f"step={step} local={loc_tokens} provider={prov_tokens} (under-reported beyond {tol_pct}%)")
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if issues:
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for issue in issues:
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print(f"TELEMETRY_DISCREPANCY {issue}", file=sys.stderr)
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raise SystemExit(1)
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print(f"TELEMETRY_RECONCILED steps={len(provider)} tolerance_pct={tol_pct}")
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PY
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exit $?
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