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// ✅ AI-POWERED FIX: Namespace Partitioning + Deterministic Metadata Filter
const cached = await vectorIndex.namespace(`tenant_${session.orgId}`).query({
  vector: await embed(userQuestion),
  topK: 1,
  filter: `org_id = '${session.orgId}' AND role_level <= ${session.roleLevel}`,
  includeMetadata: true
});
if (cached[0]?.score > 0.95) return cached[0].metadata.answer;

// ✅ AI-POWERED FIX: Dual-LLM Privilege Separation (Quarantined Reader vs. Controller)
// Step 1: Unprivileged LLM with ZERO tools extracts strict Zod structured scores only
const evaluation = await extractorLlm.generateObject({
  schema: z.object({ technicalScore: z.number().min(0).max(100), summary: z.string().max(400) }),
  prompt: `<UNTRUSTED_DATA>${untrustedResumeText}</UNTRUSTED_DATA>`
});
// Step 2: Deterministic backend code (NOT the LLM) decides state transitions
if (evaluation.object.technicalScore >= 90 && humanReviewerApproved) {
  await db.updateCandidateStatus(candidateId, "SHORTLISTED");
}

// ✅ AI-POWERED FIX: Hop-Count Budget + Token Cost Circuit Breaker + Loop Hash Detection
async function runAgentTurn(agent, message, ctx) {
  if (ctx.hops >= 5) throw new Error("MAX_AGENT_HOPS_EXCEEDED (5)");
  if (ctx.spentUsd >= 0.15) throw new Error("WORKFLOW_COST_CAP_EXCEEDED ($0.15)");
  const stateHash = hashState(agent.id, message);
  if (ctx.seenHashes.has(stateHash)) throw new Error("CYCLIC_AGENT_LOOP_DETECTED");
  ctx.seenHashes.add(stateHash);
  ctx.hops++;
  // Proceed with bounded step...
}

// ✅ AI-POWERED FIX: Hybrid Search (Postgres BM25/tsvector + pgvector) with RRF + Reranker
const hybridResults = await db.query(`
  WITH semantic AS (
    SELECT id, content, ROW_NUMBER() OVER (ORDER BY embedding <=> $1) AS rank_vec
    FROM chunks WHERE tenant_id = $3 LIMIT 25
  ),
  keyword AS (
    SELECT id, content, ROW_NUMBER() OVER (ORDER BY ts_rank_cd(fts_doc, plainto_tsquery($2)) DESC) AS rank_fts
    FROM chunks WHERE tenant_id = $3 AND fts_doc @@ plainto_tsquery($2) LIMIT 25
  )
  SELECT COALESCE(s.id, k.id) AS id, COALESCE(s.content, k.content) AS content,
         (COALESCE(1.0 / (60 + s.rank_vec), 0.0) + COALESCE(1.0 / (60 + k.rank_fts), 0.0)) AS rrf_score
  FROM semantic s FULL OUTER JOIN keyword k ON s.id = k.id
  ORDER BY rrf_score DESC LIMIT 15;
`, [queryVector, rawQuery, tenantId]);
const top5 = await cohereRerank(rawQuery, hybridResults, 5);