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>
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1.3 KiB
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5 lines
1.3 KiB
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{"timestamp": "2026-07-04T16:03:37Z", "harness": "L5-provider-telemetry", "provider": "sample-provider", "model": "sample-model-large", "run_id": "provider-run-001", "step": "speckit.implement", "input_tokens": 1842, "output_tokens": 936, "total_tokens": 2778, "cost_usd": 0.08334, "latency_ms": 4210, "status": "success"}
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{"timestamp": "2026-07-04T16:03:46Z", "harness": "L5-provider-telemetry", "provider": "sample-provider", "model": "sample-model-large", "run_id": "provider-run-001", "step": "speckit.implement", "input_tokens": 1842, "output_tokens": 936, "total_tokens": 2778, "cost_usd": 0.08334, "latency_ms": 4210, "status": "success"}
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{"timestamp": "2026-07-04T16:04:41Z", "harness": "L5-provider-telemetry", "provider": "ollama", "model": "ornith:9b", "run_id": "adhoc", "step": "judge", "role": "judge", "input_tokens": 168, "output_tokens": 3, "total_tokens": 171, "cost_usd": 0.0, "cost_source": "ollama_local_real_tokens", "latency_ms": 2231, "status": "success"}
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{"timestamp": "2026-07-04T16:04:48Z", "harness": "L5-provider-telemetry", "provider": "ollama", "model": "ornith:9b", "run_id": "adhoc", "step": "t4-telemetry-test", "role": "classify", "input_tokens": 208, "output_tokens": 2, "total_tokens": 210, "cost_usd": 0.0, "cost_source": "ollama_local_real_tokens", "latency_ms": 2330, "status": "success"}
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