chore: add real content that was sitting untracked

Surfaced by today's untracked-files audit. None of these are accidents — multiple are referenced by name in CLAUDE.md and memory files but were never added. Categories: - docs/PHASE_AUDIT_GUIDE.md (106 LOC) — Claude Code phase audit guidance - ops/systemd/lakehouse-langfuse-bridge.service — Langfuse bridge unit - package.json — top-level npm manifest - scripts/e2e_pipeline_check.sh + production_smoke.sh — real test scripts - reports/kimi/audit-last-week*.md — the "Two reports live" CLAUDE.md cites - tests/multi-agent/scenarios/ — 44 staffing scenarios (cutover decision A) - tests/multi-agent/playbooks/ — 102 playbook records - tests/battery/, tests/agent_test/PRD.md, tests/real-world/* — real tests - sidecar/sidecar/{lab_ui,pipeline_lab}.py — 888 LOC dev-only UIs that remain in service post-sidecar-drop (commit ba928b1 explicitly kept them) Sensitivity check: scenarios use synthetic company names ("Heritage Foods", "Cornerstone Fabrication"); audit reports describe code findings only; no PII or secrets surfaced. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-02 22:22:10 -05:00
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+// Compounding Stress Battery — the rigorous smoke test.
+//
+// Three iterations against /v1/respond, each running:
+//   α  baseline (3 easy tasks)       — should complete local-only with boost
+//   β  drift   (3 niche tasks)       — forces executor miss → overseer fires
+//   γ  impossible (2 zero-supply)    — must fail honestly, no token explosion
+//   δ  distill outcomes              — writes distilled_*.jsonl + vector indexes
+//   ε  overseer meta-review          — gpt-oss:120b judges the iteration
+//   ζ  scrum judgment                — gpt-oss:120b reviews overseer proposals
+//
+// Iteration N+1 runs the same tasks as iteration N. We measure compounding:
+// does turns_per_task drop? does overseer_called_rate drop? does
+// correction_effective rise? If 3/5 metrics trend favorably, architecture
+// validated; otherwise the scrum verdict points at what to fix.
+//
+// Fail-fast: every error bubbles. No silent catches — the run ABORTS with
+// the underlying stack so we see exactly where the architecture broke.
+//
+// Runtime: ~60-90 min. Cloud cost: ~24-32 gpt-oss calls (well under daily cap).
+
+import { writeFile, mkdir, readFile } from "node:fs/promises";
+import { join } from "node:path";
+
+const GATEWAY = process.env.GATEWAY_URL ?? "http://localhost:3100";
+const LLM_TEAM = process.env.LLM_TEAM_URL ?? "http://localhost:5000";
+const BATTERY_DIR = process.env.BATTERY_DIR
+  ?? "/home/profit/lakehouse/data/_kb/battery";
+
+// 10-minute timeout per /v1/respond call — cloud executor on a hard task
+// can chew for a while, and we want to see real behavior, not premature aborts.
+const RESPOND_TIMEOUT_MS = 10 * 60 * 1000;
+const META_TIMEOUT_MS = 5 * 60 * 1000;
+
+interface Task {
+  task_class: string;
+  operation: string;
+  spec: Record<string, any>;
+}
+
+interface Tasks {
+  phases: {
+    alpha_baseline: Task[];
+    beta_drift: Task[];
+    gamma_impossible: Task[];
+  };
+  models: {
+    executor_cloud: string;
+    reviewer_cloud: string;
+    overseer_cloud: string;
+  };
+}
+
+interface RunResult {
+  status: "ok" | "failed" | "blocked";
+  iterations: number;
+  artifact: any;
+  log: any[];
+  error?: string | null;
+  _elapsed_ms: number;
+}
+
+interface TaskRun {
+  task: Task;
+  phase: "alpha" | "beta" | "gamma";
+  result: RunResult;
+}
+
+// ─── HTTP helpers ───
+
+async function runRespond(task: Task, models: Tasks["models"]): Promise<RunResult> {
+  const body = {
+    task_class: task.task_class,
+    operation: task.operation,
+    spec: task.spec,
+    executor_model: models.executor_cloud,
+    reviewer_model: models.reviewer_cloud,
+  };
+  const start = Date.now();
+  const resp = await fetch(`${GATEWAY}/v1/respond`, {
+    method: "POST",
+    headers: { "content-type": "application/json" },
+    body: JSON.stringify(body),
+    signal: AbortSignal.timeout(RESPOND_TIMEOUT_MS),
+  });
+  if (!resp.ok) {
+    const txt = await resp.text();
+    throw new Error(`/v1/respond HTTP ${resp.status}: ${txt.slice(0, 500)}`);
+  }
+  const j = (await resp.json()) as RunResult;
+  j._elapsed_ms = Date.now() - start;
+  return j;
+}
+
+async function runDistill(source: string): Promise<any[]> {
+  const body = { mode: "distill", prompt: "battery iteration distill", source };
+  const resp = await fetch(`${LLM_TEAM}/api/run?mode=distill`, {
+    method: "POST",
+    headers: { "content-type": "application/json" },
+    body: JSON.stringify(body),
+    signal: AbortSignal.timeout(META_TIMEOUT_MS),
+  });
+  if (!resp.ok) throw new Error(`distill HTTP ${resp.status}`);
+  const text = await resp.text();
+  // SSE stream — parse data: lines, return parsed event objects
+  const events: any[] = [];
+  for (const line of text.split("\n")) {
+    if (!line.startsWith("data: ")) continue;
+    try { events.push(JSON.parse(line.slice(6))); } catch { /* skip */ }
+  }
+  return events;
+}
+
+async function cloudChat(
+  model: string,
+  prompt: string,
+  temperature: number,
+  think: boolean,
+): Promise<string> {
+  const resp = await fetch(`${GATEWAY}/v1/chat`, {
+    method: "POST",
+    headers: { "content-type": "application/json" },
+    body: JSON.stringify({
+      model,
+      messages: [{ role: "user", content: prompt }],
+      temperature,
+      think,
+      provider: "ollama_cloud",
+    }),
+    signal: AbortSignal.timeout(META_TIMEOUT_MS),
+  });
+  if (!resp.ok) {
+    const txt = await resp.text();
+    throw new Error(`/v1/chat ${model} HTTP ${resp.status}: ${txt.slice(0, 500)}`);
+  }
+  const j = await resp.json() as any;
+  return j.choices?.[0]?.message?.content ?? "";
+}
+
+// ─── Meta-review + scrum ───
+
+async function overseerReview(
+  iterNum: number,
+  artifacts: any,
+  models: Tasks["models"],
+): Promise<string> {
+  const prompt = `You are the OVERSEER reviewing iteration ${iterNum} of a stress battery run against Lakehouse /v1/respond.
+
+For each task in the battery below, examine: status (ok/failed/blocked), iterations used, error signature, whether the in-loop overseer fired, total tokens.
+
+Produce a PR-style meta-review in markdown with these sections:
+
+## What worked
+List specific tasks (by operation string) that completed correctly and the evidence — turns_used, citations, tokens. Be concrete.
+
+## What failed
+List specific tasks that failed or needed overseer correction. Classify: was it a real failure (impossible task), a drift we should repair, or a false positive from the test?
+
+## Proposed changes for iteration ${iterNum + 1}
+At least 3 concrete architectural changes, each with:
+- **Target file** (e.g. \`crates/gateway/src/execution_loop/mod.rs\`)
+- **Rationale** (what the metrics show)
+- **Expected impact** (which metric should move in iter ${iterNum + 1})
+
+Be honest about weaknesses. Do NOT propose generic best practices — reference specific observations from the artifacts below.
+
+ARTIFACTS (iteration ${iterNum}):
+${JSON.stringify(artifacts, null, 2).slice(0, 30000)}`;
+
+  return cloudChat(models.overseer_cloud, prompt, 0.2, true);
+}
+
+async function scrumJudge(
+  iterNum: number,
+  review: string,
+  models: Tasks["models"],
+): Promise<string> {
+  const prompt = `You are the SCRUM MASTER. The OVERSEER proposed these architectural changes for iteration ${iterNum + 1} based on iteration ${iterNum}'s results.
+
+For each proposal, produce a verdict in markdown:
+
+- **Proposal N**: <short name>
+  - **Verdict**: APPROVE | REVISE | REJECT
+  - **Reason**: why
+  - **If APPROVE**: is the expected impact realistic? what's the blast radius? is the target file correct?
+  - **If REVISE**: what should change about the proposal before applying?
+  - **If REJECT**: why is the proposal wrong or out of scope?
+
+Final section:
+## PR-ready changes
+Bulleted list of only the APPROVE proposals, ready to apply.
+
+Be rigorous. Don't rubber-stamp. If a proposal references a file that probably doesn't exist, REJECT and say so. If a proposal is a generic "improve X" without concrete plan, REVISE.
+
+OVERSEER PROPOSED:
+${review.slice(0, 15000)}`;
+
+  return cloudChat(models.overseer_cloud, prompt, 0.1, true);
+}
+
+// ─── Iteration driver ───
+
+async function runIteration(iterNum: number, tasks: Tasks): Promise<any> {
+  console.log(`\n${"═".repeat(60)}`);
+  console.log(`▶ ITERATION ${iterNum}`);
+  console.log(`${"═".repeat(60)}\n`);
+
+  const iterDir = join(BATTERY_DIR, `iter_${iterNum}`);
+  await mkdir(iterDir, { recursive: true });
+
+  const runs: TaskRun[] = [];
+
+  for (const [phaseKey, phaseName] of [
+    ["alpha_baseline", "alpha"],
+    ["beta_drift", "beta"],
+    ["gamma_impossible", "gamma"],
+  ] as const) {
+    console.log(`\n── Phase ${phaseName} ──`);
+    for (const task of tasks.phases[phaseKey]) {
+      console.log(`  ▶ ${task.operation}`);
+      const result = await runRespond(task, tasks.models);
+      const overseerFired = (result.log ?? []).some(e => e.kind === "overseer_correction");
+      console.log(
+        `    status=${result.status} turns=${result.iterations}` +
+        ` tokens=${result.artifact?.usage?.total_tokens ?? 0}` +
+        ` overseer=${overseerFired}` +
+        ` elapsed=${Math.round(result._elapsed_ms / 1000)}s`
+      );
+      if (result.error) console.log(`    error: ${result.error.slice(0, 200)}`);
+      runs.push({ task, phase: phaseName, result });
+    }
+  }
+
+  // Phase δ
+  console.log(`\n── Phase δ: distill outcomes_tail:20 ──`);
+  const distillEvents = await runDistill("outcomes_tail:20");
+  const distillFinal = [...distillEvents].reverse()
+    .find(e => e.role === "final") ?? distillEvents[distillEvents.length - 1];
+  const distillText = distillFinal?.text ?? JSON.stringify(distillFinal ?? {}).slice(0, 200);
+  console.log(`  ${distillText.split("\n")[0]}`);
+  await writeFile(join(iterDir, "distill_output.txt"), distillText);
+
+  // Metrics
+  const collectPhase = (p: string) => runs.filter(r => r.phase === p);
+  const phaseMetrics = (p: string) => {
+    const ps = collectPhase(p);
+    if (ps.length === 0) return { count: 0 };
+    return {
+      count: ps.length,
+      ok: ps.filter(r => r.result.status === "ok").length,
+      failed: ps.filter(r => r.result.status === "failed").length,
+      avg_turns: ps.reduce((s, r) => s + (r.result.iterations || 0), 0) / ps.length,
+      total_tokens: ps.reduce((s, r) => s + (r.result.artifact?.usage?.total_tokens ?? 0), 0),
+      overseer_called: ps.filter(r => (r.result.log ?? []).some(e => e.kind === "overseer_correction")).length,
+      avg_elapsed_s: ps.reduce((s, r) => s + (r.result._elapsed_ms || 0), 0) / ps.length / 1000,
+    };
+  };
+
+  const metrics = {
+    iteration: iterNum,
+    total_tasks: runs.length,
+    ok_tasks: runs.filter(r => r.result.status === "ok").length,
+    failed_tasks: runs.filter(r => r.result.status === "failed").length,
+    blocked_tasks: runs.filter(r => r.result.status === "blocked").length,
+    total_tokens: runs.reduce((s, r) => s + (r.result.artifact?.usage?.total_tokens ?? 0), 0),
+    avg_turns_per_task: runs.reduce((s, r) => s + (r.result.iterations || 0), 0) / runs.length,
+    overseer_called_rate: runs.filter(r => (r.result.log ?? []).some(e => e.kind === "overseer_correction")).length / runs.length,
+    total_elapsed_s: runs.reduce((s, r) => s + (r.result._elapsed_ms || 0), 0) / 1000,
+    by_phase: {
+      alpha: phaseMetrics("alpha"),
+      beta: phaseMetrics("beta"),
+      gamma: phaseMetrics("gamma"),
+    },
+  };
+
+  console.log(`\n── Metrics ──`);
+  console.log(`  total_tokens: ${metrics.total_tokens}`);
+  console.log(`  avg_turns_per_task: ${metrics.avg_turns_per_task.toFixed(2)}`);
+  console.log(`  overseer_called_rate: ${(metrics.overseer_called_rate * 100).toFixed(1)}%`);
+  console.log(`  ok/total: ${metrics.ok_tasks}/${metrics.total_tasks}`);
+
+  await writeFile(join(iterDir, "runs.json"), JSON.stringify(runs, null, 2));
+  await writeFile(join(iterDir, "metrics.json"), JSON.stringify(metrics, null, 2));
+
+  // Phase ε: overseer review
+  console.log(`\n── Phase ε: overseer meta-review ──`);
+  const reviewInput = {
+    metrics,
+    task_summary: runs.map(r => ({
+      operation: r.task.operation,
+      phase: r.phase,
+      status: r.result.status,
+      iterations: r.result.iterations,
+      tokens: r.result.artifact?.usage?.total_tokens ?? 0,
+      overseer_called: (r.result.log ?? []).some(e => e.kind === "overseer_correction"),
+      error: r.result.error ?? null,
+      elapsed_s: Math.round((r.result._elapsed_ms || 0) / 1000),
+    })),
+  };
+  const review = await overseerReview(iterNum, reviewInput, tasks.models);
+  await writeFile(join(iterDir, "overseer_review.md"), review);
+  console.log(`  ✓ ${review.length} chars`);
+
+  // Phase ζ: scrum
+  console.log(`\n── Phase ζ: scrum judgment ──`);
+  const verdict = await scrumJudge(iterNum, review, tasks.models);
+  await writeFile(join(iterDir, "scrum_findings.md"), verdict);
+  console.log(`  ✓ ${verdict.length} chars`);
+
+  return metrics;
+}
+
+// ─── Main ───
+
+async function main() {
+  const tasks = JSON.parse(
+    await readFile("/home/profit/lakehouse/tests/battery/tasks.json", "utf8"),
+  ) as Tasks;
+
+  await mkdir(BATTERY_DIR, { recursive: true });
+
+  const iterations: any[] = [];
+  const batteryStart = Date.now();
+
+  for (let i = 1; i <= 3; i++) {
+    const m = await runIteration(i, tasks);
+    iterations.push(m);
+  }
+
+  const batteryElapsed = (Date.now() - batteryStart) / 1000;
+
+  // Summary
+  const delta = (k: keyof any, inverted = false) => {
+    const vals = iterations.map((m: any) => m[k]);
+    if (vals.some(v => v === undefined)) return "—";
+    const diff = vals[2] - vals[0];
+    const pct = vals[0] !== 0 ? (diff / vals[0]) * 100 : 0;
+    const arrow = inverted ? (diff < 0 ? "↓ better" : "↑ worse") : (diff > 0 ? "↑ better" : "↓ worse");
+    return `${arrow} (${diff > 0 ? "+" : ""}${diff.toFixed?.(2) ?? diff}, ${pct.toFixed(1)}%)`;
+  };
+
+  const rows = [
+    ["total_tokens", "inverted", "want ↓ — fewer tokens for same work"],
+    ["avg_turns_per_task", "inverted", "want ↓ — executor gets smarter"],
+    ["overseer_called_rate", "inverted", "want ↓ — fewer cloud escalations"],
+    ["ok_tasks", "normal", "want ↑ — more successes"],
+    ["total_elapsed_s", "inverted", "want ↓ — faster iterations"],
+  ];
+
+  let summary = `# Compounding Stress Battery — Summary\n\n`;
+  summary += `**Run:** ${new Date().toISOString()}\n`;
+  summary += `**Elapsed:** ${Math.round(batteryElapsed)}s (${(batteryElapsed/60).toFixed(1)} min)\n`;
+  summary += `**Models:** executor=${tasks.models.executor_cloud}, reviewer=${tasks.models.reviewer_cloud}, overseer=${tasks.models.overseer_cloud}\n\n`;
+
+  summary += `## Compounding Metrics\n\n`;
+  summary += `| Metric | iter 1 | iter 2 | iter 3 | Trend (1→3) | Goal |\n`;
+  summary += `|---|---|---|---|---|---|\n`;
+  for (const [key, inv, goal] of rows) {
+    const vals = iterations.map((m: any) => {
+      const v = m[key as string];
+      return typeof v === "number" ? v.toFixed(2) : String(v);
+    });
+    summary += `| ${key} | ${vals[0]} | ${vals[1]} | ${vals[2]} | ${delta(key as any, inv === "inverted")} | ${goal} |\n`;
+  }
+  summary += "\n";
+
+  // Count trending metrics
+  const trends = rows.map(([k, inv]) => {
+    const vs = iterations.map((m: any) => m[k as string]) as number[];
+    const improved = inv === "inverted" ? vs[2] < vs[0] : vs[2] > vs[0];
+    return { metric: k, improved };
+  });
+  const improvedCount = trends.filter(t => t.improved).length;
+
+  summary += `## Verdict\n\n`;
+  if (improvedCount >= 3) {
+    summary += `**✓ Architecture validated** — ${improvedCount}/${trends.length} compounding metrics improved from iteration 1 to 3.\n\n`;
+  } else {
+    summary += `**✗ Compounding NOT demonstrated** — only ${improvedCount}/${trends.length} metrics improved. See scrum_findings.md in each iter_N/ directory for the overseer's proposals and the scrum master's review of what to change.\n\n`;
+  }
+
+  summary += `Metrics that ${improvedCount >= 3 ? "improved" : "regressed"}:\n`;
+  for (const t of trends) {
+    summary += `- ${t.metric}: ${t.improved ? "✓ improved" : "✗ flat or worse"}\n`;
+  }
+
+  summary += `\n## Artifacts\n\n`;
+  summary += `- \`iter_1/\`, \`iter_2/\`, \`iter_3/\` — per-iteration runs.json, metrics.json, overseer_review.md, scrum_findings.md, distill_output.txt\n`;
+  summary += `- \`summary.md\` — this file\n`;
+
+  await writeFile(join(BATTERY_DIR, "summary.md"), summary);
+  console.log(`\n${"═".repeat(60)}`);
+  console.log(`✓ BATTERY COMPLETE — ${Math.round(batteryElapsed)}s`);
+  console.log(`  Summary: ${join(BATTERY_DIR, "summary.md")}`);
+  console.log(`${"═".repeat(60)}\n`);
+  console.log(summary);
+}
+
+main().catch(e => {
+  console.error(`\n${"═".repeat(60)}`);
+  console.error(`✗ BATTERY FAILED: ${e.message}`);
+  console.error(`${"═".repeat(60)}\n`);
+  if (e.stack) console.error(e.stack);
+  process.exit(1);
+});
@@ -0,0 +1,57 @@
+{
+  "description": "Compounding stress battery tasks. Each iteration runs α (baseline) + β (drift) + γ (impossible) phases. The SAME tasks repeat across iterations so we can measure compounding (turns_used, overseer_called_rate, correction_effective).",
+  "phases": {
+    "alpha_baseline": [
+      {
+        "task_class": "staffing.fill",
+        "operation": "fill: Warehouse Associate x3 in Columbus, OH",
+        "spec": { "target_role": "Warehouse Associate", "target_count": 3, "target_city": "Columbus", "target_state": "OH", "approach_hint": "hybrid search against workers_500k_v1" }
+      },
+      {
+        "task_class": "staffing.fill",
+        "operation": "fill: Forklift Operator x2 in Toledo, OH",
+        "spec": { "target_role": "Forklift Operator", "target_count": 2, "target_city": "Toledo", "target_state": "OH", "approach_hint": "hybrid search against workers_500k_v1" }
+      },
+      {
+        "task_class": "staffing.fill",
+        "operation": "fill: Packer x4 in Cleveland, OH",
+        "spec": { "target_role": "Packer", "target_count": 4, "target_city": "Cleveland", "target_state": "OH", "approach_hint": "hybrid search against workers_500k_v1" }
+      }
+    ],
+    "beta_drift": [
+      {
+        "task_class": "staffing.fill",
+        "operation": "fill: Machine Operator x2 in Youngstown, OH (requires OSHA 30 + bilingual Spanish)",
+        "spec": { "target_role": "Machine Operator", "target_count": 2, "target_city": "Youngstown", "target_state": "OH", "approach_hint": "hybrid search against workers_500k_v1; prefer candidates with OSHA certification and Spanish" }
+      },
+      {
+        "task_class": "staffing.fill",
+        "operation": "fill: Welder x2 in Dayton, OH (AWS D1.1 certified, night shift)",
+        "spec": { "target_role": "Welder", "target_count": 2, "target_city": "Dayton", "target_state": "OH", "approach_hint": "hybrid search against workers_500k_v1; filter by certification and shift flexibility" }
+      },
+      {
+        "task_class": "staffing.fill",
+        "operation": "fill: Assembler x5 in Akron, OH (SMT experience, cleanroom)",
+        "spec": { "target_role": "Assembler", "target_count": 5, "target_city": "Akron", "target_state": "OH", "approach_hint": "hybrid search against workers_500k_v1" }
+      }
+    ],
+    "gamma_impossible": [
+      {
+        "task_class": "staffing.fill",
+        "operation": "fill: Underwater Welder x2 in Toledo, OH",
+        "spec": { "target_role": "Underwater Welder", "target_count": 2, "target_city": "Toledo", "target_state": "OH", "approach_hint": "hybrid search against workers_500k_v1 (expected to fail — no supply)" }
+      },
+      {
+        "task_class": "staffing.fill",
+        "operation": "fill: Astronaut x1 in Springfield, OH",
+        "spec": { "target_role": "Astronaut", "target_count": 1, "target_city": "Springfield", "target_state": "OH", "approach_hint": "(expected to fail — out-of-domain role)" }
+      }
+    ]
+  },
+  "models": {
+    "executor_cloud": "gpt-oss:20b",
+    "reviewer_cloud": "gpt-oss:20b",
+    "overseer_cloud": "gpt-oss:120b",
+    "notes": "gpt-oss:20b for hot path (faster, cheaper per call), gpt-oss:120b for meta-reviews. All cloud per 2026-04-23 'cloud modes are on' directive."
+  }
+}