@cocaxcode/token-optimizer-mcp - npm Package Compare versions

Comparing version 0.4.20 to 0.4.21

dist/budget-NQVRS4O7.js

+#!/usr/bin/env node
+import {
+  BudgetManager
+} from "./chunk-DK5JDNWQ.js";
+import "./chunk-OIZX7KF2.js";
+import {
+  getDb
+} from "./chunk-TOEPQYR3.js";
+import {
+  projectHash,
+  resolveAnalyticsDbPath,
+  resolveProjectDir
+} from "./chunk-V4PINTCV.js";
+
+// src/cli/budget.ts
+function runBudgetCli(args = [], opts = {}) {
+  const print = opts.print ?? ((m) => console.error(m));
+  const cwd = opts.cwd ?? process.cwd();
+  const projectDir = resolveProjectDir(cwd);
+  const dbPath = resolveAnalyticsDbPath(projectDir);
+  const db = getDb(dbPath);
+  const mgr = new BudgetManager(db);
+  const hash = projectHash(projectDir);
+  const sub = args[0];
+  if (sub === "set") {
+    const scope = args[1];
+    const limitRaw = args[2];
+    const limit = limitRaw ? parseInt(limitRaw, 10) : NaN;
+    if (scope !== "session" && scope !== "project" || !Number.isFinite(limit)) {
+      print("Uso: token-optimizer-mcp budget set <session|project> <limit_tokens>");
+      return 1;
+    }
+    const scopeKey = scope === "session" ? "default" : hash;
+    try {
+      const budget = mgr.setBudget({
+        scope,
+        scope_key: scopeKey,
+        limit_tokens: limit
+      });
+      print(
+        `Presupuesto guardado: ${budget.scope}=${budget.scope_key} limit=${budget.limit_tokens} mode=${budget.mode}`
+      );
+      return 0;
+    } catch (e) {
+      print(`Error: ${e instanceof Error ? e.message : String(e)}`);
+      return 1;
+    }
+  }
+  if (sub === "get") {
+    const status = mgr.checkBudget("default", hash);
+    if (!status.active) {
+      print("Sin presupuesto activo");
+      return 0;
+    }
+    const pct = (status.percent_used * 100).toFixed(1);
+    print(
+      `gastado=${status.spent} restante=${status.remaining} uso=${pct}% modo=${status.mode ?? "n/a"}`
+    );
+    return 0;
+  }
+  if (sub === "clear") {
+    const scope = args[1];
+    if (scope !== "session" && scope !== "project") {
+      print("Uso: token-optimizer-mcp budget clear <session|project>");
+      return 1;
+    }
+    const scopeKey = scope === "session" ? "default" : hash;
+    const removed = mgr.clearBudget(scope, scopeKey);
+    print(removed ? `Eliminado (${scope})` : "No habia presupuesto para este scope");
+    return 0;
+  }
+  print("Uso: token-optimizer-mcp budget <set|get|clear> [args]");
+  return 1;
+}
+export {
+  runBudgetCli
+};
+//# sourceMappingURL=budget-NQVRS4O7.js.map

dist/budget-NQVRS4O7.js.map

+{"version":3,"sources":["../src/cli/budget.ts"],"sourcesContent":["// Budget CLI — Phase 4.15\n// Thin wrapper delegating to BudgetManager. Subcommands: set / get / clear.\n\nimport { getDb } from '../db/connection.js'\nimport {\n  resolveProjectDir,\n  resolveAnalyticsDbPath,\n  projectHash,\n} from '../lib/paths.js'\nimport { BudgetManager } from '../services/budget-manager.js'\nimport type { BudgetScope } from '../lib/types.js'\n\nexport interface BudgetCliOptions {\n  cwd?: string\n  print?: (msg: string) => void\n}\n\nexport function runBudgetCli(args: string[] = [], opts: BudgetCliOptions = {}): number {\n  const print = opts.print ?? ((m: string) => console.error(m))\n  const cwd = opts.cwd ?? process.cwd()\n  const projectDir = resolveProjectDir(cwd)\n  const dbPath = resolveAnalyticsDbPath(projectDir)\n\n  const db = getDb(dbPath)\n  const mgr = new BudgetManager(db)\n  const hash = projectHash(projectDir)\n\n  const sub = args[0]\n\n  if (sub === 'set') {\n    const scope = args[1] as BudgetScope | undefined\n    const limitRaw = args[2]\n    const limit = limitRaw ? parseInt(limitRaw, 10) : NaN\n    if ((scope !== 'session' && scope !== 'project') || !Number.isFinite(limit)) {\n      print('Uso: token-optimizer-mcp budget set <session|project> <limit_tokens>')\n      return 1\n    }\n    const scopeKey = scope === 'session' ? 'default' : hash\n    try {\n      const budget = mgr.setBudget({\n        scope,\n        scope_key: scopeKey,\n        limit_tokens: limit,\n      })\n      print(\n        `Presupuesto guardado: ${budget.scope}=${budget.scope_key} limit=${budget.limit_tokens} mode=${budget.mode}`,\n      )\n      return 0\n    } catch (e) {\n      print(`Error: ${e instanceof Error ? e.message : String(e)}`)\n      return 1\n    }\n  }\n\n  if (sub === 'get') {\n    const status = mgr.checkBudget('default', hash)\n    if (!status.active) {\n      print('Sin presupuesto activo')\n      return 0\n    }\n    const pct = (status.percent_used * 100).toFixed(1)\n    print(\n      `gastado=${status.spent} restante=${status.remaining} uso=${pct}% modo=${status.mode ?? 'n/a'}`,\n    )\n    return 0\n  }\n\n  if (sub === 'clear') {\n    const scope = args[1] as BudgetScope | undefined\n    if (scope !== 'session' && scope !== 'project') {\n      print('Uso: token-optimizer-mcp budget clear <session|project>')\n      return 1\n    }\n    const scopeKey = scope === 'session' ? 'default' : hash\n    const removed = mgr.clearBudget(scope, scopeKey)\n    print(removed ? `Eliminado (${scope})` : 'No habia presupuesto para este scope')\n    return 0\n  }\n\n  print('Uso: token-optimizer-mcp budget <set|get|clear> [args]')\n  return 1\n}\n"],"mappings":";;;;;;;;;;;;;;;AAiBO,SAAS,aAAa,OAAiB,CAAC,GAAG,OAAyB,CAAC,GAAW;AACrF,QAAM,QAAQ,KAAK,UAAU,CAAC,MAAc,QAAQ,MAAM,CAAC;AAC3D,QAAM,MAAM,KAAK,OAAO,QAAQ,IAAI;AACpC,QAAM,aAAa,kBAAkB,GAAG;AACxC,QAAM,SAAS,uBAAuB,UAAU;AAEhD,QAAM,KAAK,MAAM,MAAM;AACvB,QAAM,MAAM,IAAI,cAAc,EAAE;AAChC,QAAM,OAAO,YAAY,UAAU;AAEnC,QAAM,MAAM,KAAK,CAAC;AAElB,MAAI,QAAQ,OAAO;AACjB,UAAM,QAAQ,KAAK,CAAC;AACpB,UAAM,WAAW,KAAK,CAAC;AACvB,UAAM,QAAQ,WAAW,SAAS,UAAU,EAAE,IAAI;AAClD,QAAK,UAAU,aAAa,UAAU,aAAc,CAAC,OAAO,SAAS,KAAK,GAAG;AAC3E,YAAM,sEAAsE;AAC5E,aAAO;AAAA,IACT;AACA,UAAM,WAAW,UAAU,YAAY,YAAY;AACnD,QAAI;AACF,YAAM,SAAS,IAAI,UAAU;AAAA,QAC3B;AAAA,QACA,WAAW;AAAA,QACX,cAAc;AAAA,MAChB,CAAC;AACD;AAAA,QACE,yBAAyB,OAAO,KAAK,IAAI,OAAO,SAAS,UAAU,OAAO,YAAY,SAAS,OAAO,IAAI;AAAA,MAC5G;AACA,aAAO;AAAA,IACT,SAAS,GAAG;AACV,YAAM,UAAU,aAAa,QAAQ,EAAE,UAAU,OAAO,CAAC,CAAC,EAAE;AAC5D,aAAO;AAAA,IACT;AAAA,EACF;AAEA,MAAI,QAAQ,OAAO;AACjB,UAAM,SAAS,IAAI,YAAY,WAAW,IAAI;AAC9C,QAAI,CAAC,OAAO,QAAQ;AAClB,YAAM,wBAAwB;AAC9B,aAAO;AAAA,IACT;AACA,UAAM,OAAO,OAAO,eAAe,KAAK,QAAQ,CAAC;AACjD;AAAA,MACE,WAAW,OAAO,KAAK,aAAa,OAAO,SAAS,QAAQ,GAAG,UAAU,OAAO,QAAQ,KAAK;AAAA,IAC/F;AACA,WAAO;AAAA,EACT;AAEA,MAAI,QAAQ,SAAS;AACnB,UAAM,QAAQ,KAAK,CAAC;AACpB,QAAI,UAAU,aAAa,UAAU,WAAW;AAC9C,YAAM,yDAAyD;AAC/D,aAAO;AAAA,IACT;AACA,UAAM,WAAW,UAAU,YAAY,YAAY;AACnD,UAAM,UAAU,IAAI,YAAY,OAAO,QAAQ;AAC/C,UAAM,UAAU,cAAc,KAAK,MAAM,sCAAsC;AAC/E,WAAO;AAAA,EACT;AAEA,QAAM,wDAAwD;AAC9D,SAAO;AACT;","names":[]}

dist/chunk-22BLF7AQ.js

+#!/usr/bin/env node
+import {
+  resolveXrayUrl
+} from "./chunk-KNYWGCEX.js";
+import {
+  buildQueries
+} from "./chunk-OIZX7KF2.js";
+import {
+  resolveTranscriptPath
+} from "./chunk-V4PINTCV.js";
+
+// src/coach/knowledge-base.ts
+var KNOWLEDGE_BASE = [
+  {
+    id: "use-opusplan",
+    title: "Usa /opusplan para planificar con Opus y ejecutar con Sonnet",
+    description: "opusplan usa Opus durante plan mode para razonamiento complejo y vuelve a Sonnet para implementacion. Solo pagas Opus en la fase de planning.",
+    savings_estimate: "60-80% de reduccion de coste en sesiones con planning intensivo",
+    savings_source: "community-measured",
+    how_to_invoke: "/model opusplan",
+    when_applicable: "Sesiones con razonamiento largo antes de codigo",
+    source_type: "built-in",
+    verified_at: "2026-04-11",
+    detector_id: "detect-long-reasoning-no-code"
+  },
+  {
+    id: "use-plan-mode",
+    title: "Activa plan mode para exploracion sin escribir codigo",
+    description: "EnterPlanMode permite razonar y explorar sin hacer ediciones, reduciendo iteraciones costosas.",
+    savings_estimate: "Variable segun tarea",
+    savings_source: "internal",
+    how_to_invoke: "EnterPlanMode tool",
+    when_applicable: "Tareas no triviales antes de escribir codigo",
+    source_type: "built-in",
+    verified_at: "2026-04-11",
+    detector_id: "detect-long-reasoning-no-code"
+  },
+  {
+    id: "use-fast-mode",
+    title: "Activa /fast para respuestas mas directas",
+    description: "Modo rapido mantiene el modelo pero reduce el detalle de las respuestas.",
+    savings_estimate: "Reduce tiempo principalmente",
+    savings_source: "internal",
+    how_to_invoke: "/fast",
+    when_applicable: "Cuando quieres respuestas mas concisas",
+    source_type: "built-in",
+    verified_at: "2026-04-11",
+    detector_id: null
+  },
+  {
+    id: "default-to-sonnet",
+    title: "Arranca cada sesion con Sonnet y sube a Opus solo cuando haga falta",
+    description: "Sonnet resuelve ~80% de tareas de coding bien. El switching tactico a Opus solo en razonamiento complejo ahorra el grueso del coste.",
+    savings_estimate: "60-80% reduccion de coste total",
+    savings_source: "community-measured",
+    how_to_invoke: "/model sonnet (inicio) \u2192 /model opus (cuando sea necesario)",
+    when_applicable: "Siempre como default",
+    source_type: "built-in",
+    verified_at: "2026-04-11",
+    detector_id: "detect-opus-for-simple-task"
+  },
+  {
+    id: "use-haiku-for-simple",
+    title: "Usa Haiku para formato, Q&A simple y tareas de alto volumen",
+    description: "Haiku es mucho mas barato y rapido. Para formateo, preguntas puntuales o tareas repetitivas es el modelo adecuado.",
+    savings_estimate: "~90% reduccion vs Opus en tareas simples",
+    savings_source: "anthropic-docs",
+    how_to_invoke: "/model haiku",
+    when_applicable: "Formateo, Q&A simple, alto volumen",
+    source_type: "built-in",
+    verified_at: "2026-04-11",
+    detector_id: "detect-opus-for-simple-task"
+  },
+  {
+    id: "use-compact-long-session",
+    title: "Corre /compact cuando el contexto supere el 75%",
+    description: "/compact genera un resumen del contexto actual liberando ~60-80% de la ventana sin perder continuidad.",
+    savings_estimate: "60-80% de contexto liberado",
+    savings_source: "community-measured",
+    how_to_invoke: "/compact",
+    when_applicable: "Contexto > 75% de la ventana",
+    source_type: "built-in",
+    verified_at: "2026-04-11",
+    detector_id: "detect-context-threshold"
+  },
+  {
+    id: "use-clear-rename-resume",
+    title: "Usa /rename \u2192 /clear \u2192 /resume para pivotes de tema",
+    description: "Al cambiar a un tema no relacionado, renombra la sesion, haz /clear para empezar limpio, y resume cuando vuelvas.",
+    savings_estimate: "Variable segun contexto descartado",
+    savings_source: "internal",
+    how_to_invoke: "/rename <nombre> \u2192 /clear \u2192 (trabajar) \u2192 /resume <nombre>",
+    when_applicable: "Pivote total a tema no relacionado",
+    source_type: "built-in",
+    verified_at: "2026-04-11",
+    detector_id: "detect-clear-opportunity"
+  },
+  {
+    id: "use-sessionstart-compact-hook",
+    title: "Activa el hook SessionStart:compact de token-optimizer",
+    description: "Cuando Claude Code compacta el contexto, token-optimizer inyecta un resumen con archivos, comandos y presupuesto.",
+    savings_estimate: "Evita re-lectura tras compactacion",
+    savings_source: "internal",
+    how_to_invoke: "token-optimizer-mcp install (ya lo configura)",
+    when_applicable: "Siempre como parte del install",
+    source_type: "mcp",
+    verified_at: "2026-04-11",
+    detector_id: null
+  },
+  {
+    id: "use-memory-save",
+    title: "Guarda decisiones con mem_save antes de compactar",
+    description: "Persistir decisiones arquitectonicas en engram evita tener que re-derivarlas cuando el contexto se compacta.",
+    savings_estimate: "Variable",
+    savings_source: "internal",
+    how_to_invoke: "mem_save (via engram MCP)",
+    when_applicable: "Antes de /compact o cambiar de sesion",
+    source_type: "mcp",
+    verified_at: "2026-04-11",
+    detector_id: null
+  },
+  {
+    id: "use-agent-explore",
+    title: "Delega busquedas amplias al subagente Explore",
+    description: "El subagente Explore tiene su propio contexto y no consume el de la sesion principal. Ideal para buscar en muchos archivos.",
+    savings_estimate: "Aisla contexto al subagente",
+    savings_source: "internal",
+    how_to_invoke: 'Agent tool con subagent_type="Explore"',
+    when_applicable: "3+ busquedas Grep/Glob similares",
+    source_type: "built-in",
+    verified_at: "2026-04-11",
+    detector_id: "detect-repeated-searches"
+  },
+  {
+    id: "use-todowrite-long-task",
+    title: "Usa TodoWrite para tareas multi-paso",
+    description: "TodoWrite mantiene el estado de la tarea sin re-leer archivos, reduciendo redundancia.",
+    savings_estimate: "Evita re-lectura de estado",
+    savings_source: "internal",
+    how_to_invoke: "TodoWrite",
+    when_applicable: "3+ pasos independientes",
+    source_type: "built-in",
+    verified_at: "2026-04-11",
+    detector_id: null
+  },
+  {
+    id: "use-skill-trigger",
+    title: "Invoca skills en lugar de re-derivar instrucciones",
+    description: "Los skills cargan instrucciones especializadas solo cuando se invocan. Mejor que un CLAUDE.md monolitico.",
+    savings_estimate: "~15k tokens/sesion con progressive disclosure",
+    savings_source: "community-measured",
+    how_to_invoke: "Skill tool con nombre del skill",
+    when_applicable: "Tareas que matchean un skill disponible",
+    source_type: "skill",
+    verified_at: "2026-04-11",
+    detector_id: "detect-skill-trigger-ignored"
+  },
+  {
+    id: "install-serena",
+    title: "Instala serena-mcp para lecturas simbolicas",
+    description: "serena usa LSP para leer solo los simbolos que necesitas en lugar del archivo completo. Nota: incluye execute_shell_command.",
+    savings_estimate: "20-30% en lecturas de archivos grandes",
+    savings_source: "community-measured",
+    how_to_invoke: "uvx --from git+https://github.com/oraios/serena serena start-mcp-server",
+    when_applicable: "Proyectos con archivos >50k tokens",
+    source_type: "mcp",
+    verified_at: "2026-04-11",
+    detector_id: "detect-huge-file-reads"
+  },
+  {
+    id: "prefer-serena-reads",
+    title: "Usa Serena en vez de Read para archivos de codigo",
+    description: "Serena lee simbolos (funciones, clases) sin cargar el archivo completo. Usa get_symbols_overview para explorar y find_symbol con include_body para leer solo lo que necesitas. Ahorro tipico: 60-90% vs Read.",
+    savings_estimate: "60-90% en lecturas de codigo",
+    savings_source: "internal",
+    how_to_invoke: "get_symbols_overview(path) \u2192 find_symbol(name, include_body=true)",
+    when_applicable: "Archivos .ts/.js/.py/.java >50 lineas donde solo necesitas 1-2 funciones",
+    source_type: "mcp",
+    verified_at: "2026-04-12",
+    detector_id: "detect-read-over-serena"
+  },
+  {
+    id: "install-rtk",
+    title: "Instala RTK para filtrar salida ruidosa de Bash",
+    description: "RTK filtra output de builds/tests antes de llegar a Claude Code. Publica releases firmadas con GPG.",
+    savings_estimate: "15-25% en ciclos build/test",
+    savings_source: "community-measured",
+    how_to_invoke: "brew install standard-input/tap/rtk (macOS) o binario firmado en github.com/standard-input/rtk",
+    when_applicable: "Proyectos con builds/tests ruidosos",
+    source_type: "mcp",
+    verified_at: "2026-04-11",
+    detector_id: "detect-many-bash-commands"
+  },
+  {
+    id: "use-mcp-prune",
+    title: "Aplica un allowlist de MCPs por proyecto",
+    description: "Reduce el coste del tool-schema excluyendo MCPs que no usas en este proyecto. ~5-12% adicional sobre Tool Search.",
+    savings_estimate: "5-12% por turno sobre Tool Search nativo",
+    savings_source: "internal",
+    how_to_invoke: "mcp_prune_suggest \u2192 mcp_prune_apply",
+    when_applicable: "MCPs registrados pero no usados en el proyecto",
+    source_type: "mcp",
+    verified_at: "2026-04-11",
+    detector_id: "detect-unused-mcp-servers"
+  },
+  {
+    id: "migrate-claudemd-to-skills",
+    title: "Migra CLAUDE.md grande a skills con progressive disclosure",
+    description: "Un CLAUDE.md monolitico se carga en cada sesion. Los skills solo cargan cuando se invocan. ~15k tokens recuperados.",
+    savings_estimate: "~15k tokens/sesion (82% mejor que CLAUDE.md monolitico)",
+    savings_source: "community-measured",
+    how_to_invoke: "Crear skills en .claude/skills/ con triggers especificos",
+    when_applicable: "CLAUDE.md > 10k tokens con uso parcial",
+    source_type: "skill",
+    verified_at: "2026-04-11",
+    detector_id: "detect-claudemd-bloat"
+  },
+  {
+    id: "use-settings-local",
+    title: "Configuracion personal en settings.local.json",
+    description: "Evita contaminar settings.json del equipo. settings.local.json es personal y gitignored por defecto.",
+    savings_estimate: "Higiene, no tokens",
+    savings_source: "internal",
+    how_to_invoke: "Editar .claude/settings.local.json",
+    when_applicable: "Configuracion personal no compartible",
+    source_type: "settings",
+    verified_at: "2026-04-11",
+    detector_id: null
+  },
+  {
+    id: "use-serena-overview-first",
+    title: "Usa get_symbols_overview antes de find_symbol",
+    description: "Llamar get_symbols_overview una vez da el mapa del archivo. Las llamadas sucesivas find_symbol sin overview previo leen el mismo archivo repetidamente.",
+    savings_estimate: "30-50% menos llamadas Serena por sesion",
+    savings_source: "internal",
+    how_to_invoke: "mcp__serena__get_symbols_overview con relative_path antes de find_symbol",
+    when_applicable: "Al explorar un archivo por primera vez en la sesion",
+    source_type: "mcp",
+    verified_at: "2026-04-15",
+    detector_id: "detect-serena-read-cascade"
+  },
+  {
+    id: "use-prompt-caching",
+    title: "Estructura prompts para maximizar cache hits",
+    description: "Los tokens leidos del cache cuestan 10x menos. Mantener el prefijo estable (system, CLAUDE.md) aprovecha el cache.",
+    savings_estimate: "10x mas barato en reads cacheados",
+    savings_source: "anthropic-docs",
+    how_to_invoke: "Mantener prefijo estable entre turns",
+    when_applicable: "Siempre",
+    source_type: "built-in",
+    verified_at: "2026-04-11",
+    detector_id: null
+  }
+];
+
+// src/coach/rules.ts
+function countMatching(events, predicate) {
+  let c = 0;
+  for (const e of events) if (predicate(e)) c++;
+  return c;
+}
+var EDIT_TOOLS = /* @__PURE__ */ new Set(["Edit", "Write", "MultiEdit", "NotebookEdit"]);
+var DETECTION_RULES = [
+  // 1. detect-context-threshold
+  {
+    id: "detect-context-threshold",
+    tip_ids: ["use-compact-long-session"],
+    run(ctx) {
+      if (ctx.session_token_total === null || ctx.session_token_limit <= 0) return null;
+      const percent = ctx.session_token_total / ctx.session_token_limit;
+      if (percent < 0.5) return null;
+      let severity = "info";
+      if (percent >= 0.9) severity = "critical";
+      else if (percent >= 0.75) severity = "warn";
+      return {
+        rule_id: "detect-context-threshold",
+        tip_ids: ["use-compact-long-session"],
+        severity,
+        evidence: `Contexto: ${(percent * 100).toFixed(1)}% usado (${ctx.session_token_total}/${ctx.session_token_limit} tokens)`,
+        estimation_method: ctx.session_token_method
+      };
+    }
+  },
+  // 2. detect-long-reasoning-no-code
+  {
+    id: "detect-long-reasoning-no-code",
+    tip_ids: ["use-plan-mode", "use-opusplan"],
+    run(ctx) {
+      const recent = ctx.events.slice(0, 10);
+      if (recent.length < 10) return null;
+      const edits = countMatching(recent, (e) => EDIT_TOOLS.has(e.tool_name));
+      if (edits > 0) return null;
+      return {
+        rule_id: "detect-long-reasoning-no-code",
+        tip_ids: ["use-plan-mode", "use-opusplan"],
+        severity: "info",
+        evidence: "10 eventos recientes sin ediciones de codigo",
+        estimation_method: "measured_exact"
+      };
+    }
+  },
+  // 3. detect-repeated-searches
+  {
+    id: "detect-repeated-searches",
+    tip_ids: ["use-agent-explore"],
+    run(ctx) {
+      const window = ctx.events.slice(0, 20);
+      const searches = countMatching(window, (e) => e.tool_name === "Grep" || e.tool_name === "Glob");
+      if (searches < 3) return null;
+      return {
+        rule_id: "detect-repeated-searches",
+        tip_ids: ["use-agent-explore"],
+        severity: "info",
+        evidence: `${searches} busquedas Grep/Glob en los ultimos 20 eventos`,
+        estimation_method: "measured_exact"
+      };
+    }
+  },
+  // 4. detect-huge-file-reads
+  {
+    id: "detect-huge-file-reads",
+    tip_ids: ["install-serena"],
+    run(ctx) {
+      const huge = ctx.events.find((e) => e.tool_name === "Read" && e.tokens_estimated > 5e4);
+      if (!huge) return null;
+      return {
+        rule_id: "detect-huge-file-reads",
+        tip_ids: ["install-serena"],
+        severity: "warn",
+        evidence: `Read consumio ${huge.tokens_estimated} tokens (umbral 50k)`,
+        estimation_method: "measured_exact"
+      };
+    }
+  },
+  // 5. detect-many-bash-commands
+  {
+    id: "detect-many-bash-commands",
+    tip_ids: ["install-rtk"],
+    run(ctx) {
+      const window = ctx.events.slice(0, 100);
+      const bash = countMatching(window, (e) => e.tool_name === "Bash");
+      if (bash <= 10) return null;
+      return {
+        rule_id: "detect-many-bash-commands",
+        tip_ids: ["install-rtk"],
+        severity: "info",
+        evidence: `${bash} comandos Bash en los ultimos ${window.length} eventos`,
+        estimation_method: "measured_exact"
+      };
+    }
+  },
+  // 6. detect-clear-opportunity (was #7 — detect-unused-mcp-servers stub removed)
+  {
+    id: "detect-clear-opportunity",
+    tip_ids: ["use-clear-rename-resume"],
+    run(ctx) {
+      if (ctx.events.length < 40) return null;
+      const recentTools = new Set(ctx.events.slice(0, 20).map((e) => e.tool_name));
+      const priorTools = new Set(ctx.events.slice(20, 40).map((e) => e.tool_name));
+      if (recentTools.size === 0) return null;
+      let overlap = 0;
+      for (const t of recentTools) if (priorTools.has(t)) overlap++;
+      const ratio = overlap / recentTools.size;
+      if (ratio >= 0.3) return null;
+      return {
+        rule_id: "detect-clear-opportunity",
+        tip_ids: ["use-clear-rename-resume"],
+        severity: "info",
+        evidence: `Solapamiento de herramientas ${(ratio * 100).toFixed(0)}% \u2014 posible pivote de tema`,
+        estimation_method: "measured_exact"
+      };
+    }
+  },
+  // 8. detect-opus-for-simple-task
+  {
+    id: "detect-opus-for-simple-task",
+    tip_ids: ["default-to-sonnet", "use-haiku-for-simple"],
+    run(ctx) {
+      if (!ctx.active_model || !/opus/i.test(ctx.active_model)) return null;
+      const recent = ctx.events.slice(0, 20);
+      if (recent.length < 6) return null;
+      const edits = countMatching(recent, (e) => EDIT_TOOLS.has(e.tool_name));
+      const bash = countMatching(recent, (e) => e.tool_name === "Bash");
+      if (edits + bash < 6) return null;
+      return {
+        rule_id: "detect-opus-for-simple-task",
+        tip_ids: ["default-to-sonnet", "use-haiku-for-simple"],
+        severity: "info",
+        evidence: `Opus ejecutando trabajo mecanico: ${edits} edits + ${bash} Bash en ultimos 20 eventos. Sonnet haria lo mismo un 80% mas barato.`,
+        estimation_method: "measured_exact"
+      };
+    }
+  },
+  // 9. detect-claudemd-bloat (stub — requires filesystem stat at runtime)
+  {
+    id: "detect-claudemd-bloat",
+    tip_ids: ["migrate-claudemd-to-skills"],
+    run() {
+      return null;
+    }
+  },
+  // 10. detect-post-milestone-opportunity
+  {
+    id: "detect-post-milestone-opportunity",
+    tip_ids: ["use-compact-long-session"],
+    run(ctx) {
+      const recent = ctx.events.slice(0, 20);
+      const edits = countMatching(recent, (e) => e.tool_name === "Edit" || e.tool_name === "Write");
+      const hasBash = countMatching(recent, (e) => e.tool_name === "Bash") > 0;
+      if (edits < 5 || !hasBash) return null;
+      if (ctx.session_token_total === null) return null;
+      const percent = ctx.session_token_total / ctx.session_token_limit;
+      if (percent < 0.4) return null;
+      return {
+        rule_id: "detect-post-milestone-opportunity",
+        tip_ids: ["use-compact-long-session"],
+        severity: "info",
+        evidence: `${edits} ediciones + Bash reciente + contexto ${(percent * 100).toFixed(0)}%`,
+        estimation_method: ctx.session_token_method
+      };
+    }
+  },
+  // 11. detect-skill-trigger-ignored (stub — requires skill registry)
+  {
+    id: "detect-skill-trigger-ignored",
+    tip_ids: ["use-skill-trigger"],
+    run() {
+      return null;
+    }
+  },
+  // 12. detect-serena-read-cascade
+  // Fires when the agent makes ≥5 find_symbol calls without a get_symbols_overview
+  // in the same window — suggests starting with an overview first.
+  {
+    id: "detect-serena-read-cascade",
+    tip_ids: ["use-serena-overview-first"],
+    run(ctx) {
+      const window = ctx.events.slice(0, 15);
+      const findSymbolCount = countMatching(
+        window,
+        (e) => e.tool_name === "mcp__serena__find_symbol"
+      );
+      if (findSymbolCount < 5) return null;
+      const hasOverview = window.some(
+        (e) => e.tool_name === "mcp__serena__get_symbols_overview"
+      );
+      if (hasOverview) return null;
+      return {
+        rule_id: "detect-serena-read-cascade",
+        tip_ids: ["use-serena-overview-first"],
+        severity: "info",
+        evidence: `${findSymbolCount} llamadas find_symbol sin get_symbols_overview en los ultimos 15 eventos.`,
+        estimation_method: ctx.session_token_method
+      };
+    }
+  },
+  // 13. detect-read-over-serena
+  {
+    id: "detect-read-over-serena",
+    tip_ids: ["prefer-serena-reads"],
+    run(ctx) {
+      const window = ctx.events.slice(0, 30);
+      const largeReads = window.filter(
+        (e) => e.tool_name === "Read" && e.tokens_estimated > 2e3
+      );
+      if (largeReads.length < 3) return null;
+      const totalTokens = largeReads.reduce((sum, e) => sum + e.tokens_estimated, 0);
+      const estimatedSaving = Math.round(totalTokens * 0.7);
+      const severity = largeReads.length >= 6 ? "warn" : "info";
+      return {
+        rule_id: "detect-read-over-serena",
+        tip_ids: ["prefer-serena-reads"],
+        severity,
+        evidence: `${largeReads.length} lecturas Read >2k tokens (total: ${totalTokens}). Serena ahorraria ~${estimatedSaving} tokens (~70%).`,
+        estimation_method: ctx.session_token_method
+      };
+    }
+  }
+];
+
+// src/coach/detector.ts
+var SEVERITY_ORDER = { critical: 0, warn: 1, info: 2 };
+function runRules(ctx) {
+  const hits = [];
+  for (const rule of DETECTION_RULES) {
+    try {
+      const hit = rule.run(ctx);
+      if (hit) hits.push(hit);
+    } catch {
+    }
+  }
+  const seen = /* @__PURE__ */ new Set();
+  const unique = [];
+  for (const h of hits) {
+    if (seen.has(h.rule_id)) continue;
+    seen.add(h.rule_id);
+    unique.push(h);
+  }
+  unique.sort((a, b) => (SEVERITY_ORDER[a.severity] ?? 99) - (SEVERITY_ORDER[b.severity] ?? 99));
+  return unique;
+}
+
+// src/coach/context-meter.ts
+import fs from "fs";
+
+// src/services/xray-client.ts
+var POST_TIMEOUT_MS = 500;
+var GET_TIMEOUT_MS = 300;
+var DEFAULT_LIMIT = 2e5;
+var VERSION = true ? "0.4.21" : "0.1.0";
+async function postToXray(event, opts = {}) {
+  const xrayUrl = opts.xrayUrl ?? resolveXrayUrl();
+  if (!xrayUrl) return false;
+  const fetchFn = opts.fetchImpl ?? fetch;
+  const controller = new AbortController();
+  const timer = setTimeout(() => controller.abort(), opts.timeoutMs ?? POST_TIMEOUT_MS);
+  try {
+    await fetchFn(`${xrayUrl}/hooks/token-optimizer`, {
+      method: "POST",
+      headers: { "content-type": "application/json" },
+      body: JSON.stringify({
+        source: "token-optimizer-mcp",
+        version: VERSION,
+        event
+      }),
+      signal: controller.signal
+    });
+    return true;
+  } catch {
+    return false;
+  } finally {
+    clearTimeout(timer);
+  }
+}
+var SUMMARY_TIMEOUT_MS = 2e3;
+async function postSummaryToXray(summary, opts = {}) {
+  const xrayUrl = opts.xrayUrl ?? resolveXrayUrl();
+  if (!xrayUrl) return false;
+  const fetchFn = opts.fetchImpl ?? fetch;
+  const controller = new AbortController();
+  const timer = setTimeout(() => controller.abort(), opts.timeoutMs ?? SUMMARY_TIMEOUT_MS);
+  try {
+    await fetchFn(`${xrayUrl}/hooks/token-optimizer/summary`, {
+      method: "POST",
+      headers: { "content-type": "application/json" },
+      body: JSON.stringify({
+        source: "token-optimizer-mcp",
+        version: VERSION,
+        summary
+      }),
+      signal: controller.signal
+    });
+    return true;
+  } catch {
+    return false;
+  } finally {
+    clearTimeout(timer);
+  }
+}
+async function getSessionTokens(sessionId, opts = {}) {
+  const xrayUrl = opts.xrayUrl ?? resolveXrayUrl();
+  if (!xrayUrl) return null;
+  const fetchFn = opts.fetchImpl ?? fetch;
+  const controller = new AbortController();
+  const timer = setTimeout(() => controller.abort(), opts.timeoutMs ?? GET_TIMEOUT_MS);
+  try {
+    const res = await fetchFn(
+      `${xrayUrl}/sessions/${encodeURIComponent(sessionId)}/tokens`,
+      { signal: controller.signal }
+    );
+    if (!res.ok) return null;
+    const data = await res.json();
+    const tokens = data.tokens ?? 0;
+    const limit = data.limit ?? DEFAULT_LIMIT;
+    return {
+      tokens,
+      limit,
+      percent: limit > 0 ? tokens / limit : 0,
+      estimation_method: "measured_exact"
+    };
+  } catch {
+    return null;
+  } finally {
+    clearTimeout(timer);
+  }
+}
+
+// src/coach/context-meter.ts
+var DEFAULT_LIMIT2 = 2e5;
+var OPUS_1M_LIMIT = 1e6;
+var BASELINE_TOKENS = 15e3;
+async function measureContextSize(sessionId, opts = {}) {
+  if (opts.projectDir) {
+    const transcript = readTranscript(opts.projectDir, sessionId);
+    if (transcript) return transcript;
+  }
+  const xrayResult = await tryXray(sessionId, opts.fetchImpl);
+  if (xrayResult) return xrayResult;
+  const limit = resolveLimit(opts.activeModel);
+  if (opts.db) {
+    return cumulativeEstimate(opts.db, sessionId, limit);
+  }
+  return { tokens: 0, limit, percent: 0, estimation_method: "unknown" };
+}
+function readTranscript(projectDir, sessionId) {
+  try {
+    const p = resolveTranscriptPath(projectDir, sessionId);
+    if (!fs.existsSync(p)) return null;
+    const content = fs.readFileSync(p, "utf8");
+    const lines = content.split("\n").filter((l) => l.trim().length > 0);
+    let totalTokens = 0;
+    let limit = DEFAULT_LIMIT2;
+    for (const line of lines) {
+      try {
+        const turn = JSON.parse(line);
+        if (turn.usage) {
+          totalTokens += (turn.usage.input_tokens ?? 0) + (turn.usage.output_tokens ?? 0) + (turn.usage.cache_read_input_tokens ?? 0);
+        }
+        if (turn.model && /1m/i.test(turn.model)) limit = OPUS_1M_LIMIT;
+      } catch {
+      }
+    }
+    return {
+      tokens: totalTokens,
+      limit,
+      percent: limit > 0 ? totalTokens / limit : 0,
+      estimation_method: "measured_exact"
+    };
+  } catch {
+    return null;
+  }
+}
+async function tryXray(sessionId, fetchImpl) {
+  const opts = {};
+  if (fetchImpl !== void 0) opts.fetchImpl = fetchImpl;
+  return getSessionTokens(sessionId, opts);
+}
+function resolveLimit(activeModel) {
+  if (activeModel && /1m|opus/i.test(activeModel)) return OPUS_1M_LIMIT;
+  return DEFAULT_LIMIT2;
+}
+function cumulativeEstimate(db, sessionId, limit = DEFAULT_LIMIT2) {
+  const queries = buildQueries(db);
+  const sessionTokens = queries.sumTokensBySession(sessionId);
+  const total = sessionTokens + BASELINE_TOKENS;
+  return {
+    tokens: total,
+    limit,
+    percent: total / limit,
+    estimation_method: "estimated_cumulative"
+  };
+}
+function measureContextSizeFromDbSync(db, sessionId, activeModel) {
+  const limit = resolveLimit(activeModel);
+  return cumulativeEstimate(db, sessionId, limit);
+}
+
+// src/coach/surface.ts
+function checkDedupe(db, sessionId, ruleId, tipId, windowSeconds) {
+  const row = db.prepare(
+    `SELECT 1 FROM coach_surface_log
+       WHERE session_id = ? AND rule_id = ? AND tip_id = ?
+         AND created_at > datetime('now', ?)
+       LIMIT 1`
+  ).get(sessionId, ruleId, tipId, `-${windowSeconds} seconds`);
+  return row !== void 0 && row !== null;
+}
+function logSurface(db, sessionId, hit, via) {
+  db.prepare(`INSERT OR IGNORE INTO sessions (id) VALUES (?)`).run(sessionId);
+  const stmt = db.prepare(
+    `INSERT INTO coach_surface_log (session_id, rule_id, tip_id, surfaced_via, severity)
+     VALUES (?, ?, ?, ?, ?)`
+  );
+  for (const tipId of hit.tip_ids) {
+    stmt.run(sessionId, hit.rule_id, tipId, via, hit.severity);
+  }
+}
+function surfaceWithDedupe(db, sessionId, hits, via, windowSeconds) {
+  const surfaced = [];
+  for (const hit of hits) {
+    const anyFresh = hit.tip_ids.some(
+      (tipId) => !checkDedupe(db, sessionId, hit.rule_id, tipId, windowSeconds)
+    );
+    if (anyFresh) {
+      logSurface(db, sessionId, hit, via);
+      surfaced.push(hit);
+    }
+  }
+  return surfaced;
+}
+function getCoachSurfaceLog(db, sessionId) {
+  const rows = db.prepare(
+    `SELECT rule_id, tip_id, severity
+       FROM coach_surface_log
+       WHERE session_id = ?
+       ORDER BY created_at`
+  ).all(sessionId);
+  const map = /* @__PURE__ */ new Map();
+  for (const row of rows) {
+    if (!map.has(row.rule_id)) {
+      map.set(row.rule_id, { tip_ids: [], severity: row.severity });
+    }
+    const entry = map.get(row.rule_id);
+    if (!entry.tip_ids.includes(row.tip_id)) {
+      entry.tip_ids.push(row.tip_id);
+    }
+  }
+  return Array.from(map.entries()).map(([rule_id, v]) => ({
+    rule_id,
+    tip_ids: v.tip_ids,
+    severity: v.severity
+  }));
+}
+function clearSurfaceLog(db, sessionId) {
+  if (sessionId) {
+    const info2 = db.prepare(`DELETE FROM coach_surface_log WHERE session_id = ?`).run(sessionId);
+    return info2.changes;
+  }
+  const info = db.prepare(`DELETE FROM coach_surface_log`).run();
+  return info.changes;
+}
+
+export {
+  postToXray,
+  postSummaryToXray,
+  KNOWLEDGE_BASE,
+  runRules,
+  measureContextSize,
+  measureContextSizeFromDbSync,
+  surfaceWithDedupe,
+  getCoachSurfaceLog,
+  clearSurfaceLog
+};
+//# sourceMappingURL=chunk-22BLF7AQ.js.map

dist/chunk-22BLF7AQ.js.map

+{"version":3,"sources":["../src/coach/knowledge-base.ts","../src/coach/rules.ts","../src/coach/detector.ts","../src/coach/context-meter.ts","../src/services/xray-client.ts","../src/coach/surface.ts"],"sourcesContent":["// Static catalog of 18 CoachTip entries — Phase 4.40\n// See sdd/token-optimizer-v0.1/coach-layer-addendum CO-1\n\nimport type { CoachTip } from '../lib/types.js'\n\nexport const KNOWLEDGE_BASE: readonly CoachTip[] = [\n  {\n    id: 'use-opusplan',\n    title: 'Usa /opusplan para planificar con Opus y ejecutar con Sonnet',\n    description:\n      'opusplan usa Opus durante plan mode para razonamiento complejo y vuelve a Sonnet para implementacion. Solo pagas Opus en la fase de planning.',\n    savings_estimate: '60-80% de reduccion de coste en sesiones con planning intensivo',\n    savings_source: 'community-measured',\n    how_to_invoke: '/model opusplan',\n    when_applicable: 'Sesiones con razonamiento largo antes de codigo',\n    source_type: 'built-in',\n    verified_at: '2026-04-11',\n    detector_id: 'detect-long-reasoning-no-code',\n  },\n  {\n    id: 'use-plan-mode',\n    title: 'Activa plan mode para exploracion sin escribir codigo',\n    description:\n      'EnterPlanMode permite razonar y explorar sin hacer ediciones, reduciendo iteraciones costosas.',\n    savings_estimate: 'Variable segun tarea',\n    savings_source: 'internal',\n    how_to_invoke: 'EnterPlanMode tool',\n    when_applicable: 'Tareas no triviales antes de escribir codigo',\n    source_type: 'built-in',\n    verified_at: '2026-04-11',\n    detector_id: 'detect-long-reasoning-no-code',\n  },\n  {\n    id: 'use-fast-mode',\n    title: 'Activa /fast para respuestas mas directas',\n    description: 'Modo rapido mantiene el modelo pero reduce el detalle de las respuestas.',\n    savings_estimate: 'Reduce tiempo principalmente',\n    savings_source: 'internal',\n    how_to_invoke: '/fast',\n    when_applicable: 'Cuando quieres respuestas mas concisas',\n    source_type: 'built-in',\n    verified_at: '2026-04-11',\n    detector_id: null,\n  },\n  {\n    id: 'default-to-sonnet',\n    title: 'Arranca cada sesion con Sonnet y sube a Opus solo cuando haga falta',\n    description:\n      'Sonnet resuelve ~80% de tareas de coding bien. El switching tactico a Opus solo en razonamiento complejo ahorra el grueso del coste.',\n    savings_estimate: '60-80% reduccion de coste total',\n    savings_source: 'community-measured',\n    how_to_invoke: '/model sonnet (inicio) → /model opus (cuando sea necesario)',\n    when_applicable: 'Siempre como default',\n    source_type: 'built-in',\n    verified_at: '2026-04-11',\n    detector_id: 'detect-opus-for-simple-task',\n  },\n  {\n    id: 'use-haiku-for-simple',\n    title: 'Usa Haiku para formato, Q&A simple y tareas de alto volumen',\n    description:\n      'Haiku es mucho mas barato y rapido. Para formateo, preguntas puntuales o tareas repetitivas es el modelo adecuado.',\n    savings_estimate: '~90% reduccion vs Opus en tareas simples',\n    savings_source: 'anthropic-docs',\n    how_to_invoke: '/model haiku',\n    when_applicable: 'Formateo, Q&A simple, alto volumen',\n    source_type: 'built-in',\n    verified_at: '2026-04-11',\n    detector_id: 'detect-opus-for-simple-task',\n  },\n  {\n    id: 'use-compact-long-session',\n    title: 'Corre /compact cuando el contexto supere el 75%',\n    description:\n      '/compact genera un resumen del contexto actual liberando ~60-80% de la ventana sin perder continuidad.',\n    savings_estimate: '60-80% de contexto liberado',\n    savings_source: 'community-measured',\n    how_to_invoke: '/compact',\n    when_applicable: 'Contexto > 75% de la ventana',\n    source_type: 'built-in',\n    verified_at: '2026-04-11',\n    detector_id: 'detect-context-threshold',\n  },\n  {\n    id: 'use-clear-rename-resume',\n    title: 'Usa /rename → /clear → /resume para pivotes de tema',\n    description:\n      'Al cambiar a un tema no relacionado, renombra la sesion, haz /clear para empezar limpio, y resume cuando vuelvas.',\n    savings_estimate: 'Variable segun contexto descartado',\n    savings_source: 'internal',\n    how_to_invoke: '/rename <nombre> → /clear → (trabajar) → /resume <nombre>',\n    when_applicable: 'Pivote total a tema no relacionado',\n    source_type: 'built-in',\n    verified_at: '2026-04-11',\n    detector_id: 'detect-clear-opportunity',\n  },\n  {\n    id: 'use-sessionstart-compact-hook',\n    title: 'Activa el hook SessionStart:compact de token-optimizer',\n    description:\n      'Cuando Claude Code compacta el contexto, token-optimizer inyecta un resumen con archivos, comandos y presupuesto.',\n    savings_estimate: 'Evita re-lectura tras compactacion',\n    savings_source: 'internal',\n    how_to_invoke: 'token-optimizer-mcp install (ya lo configura)',\n    when_applicable: 'Siempre como parte del install',\n    source_type: 'mcp',\n    verified_at: '2026-04-11',\n    detector_id: null,\n  },\n  {\n    id: 'use-memory-save',\n    title: 'Guarda decisiones con mem_save antes de compactar',\n    description:\n      'Persistir decisiones arquitectonicas en engram evita tener que re-derivarlas cuando el contexto se compacta.',\n    savings_estimate: 'Variable',\n    savings_source: 'internal',\n    how_to_invoke: 'mem_save (via engram MCP)',\n    when_applicable: 'Antes de /compact o cambiar de sesion',\n    source_type: 'mcp',\n    verified_at: '2026-04-11',\n    detector_id: null,\n  },\n  {\n    id: 'use-agent-explore',\n    title: 'Delega busquedas amplias al subagente Explore',\n    description:\n      'El subagente Explore tiene su propio contexto y no consume el de la sesion principal. Ideal para buscar en muchos archivos.',\n    savings_estimate: 'Aisla contexto al subagente',\n    savings_source: 'internal',\n    how_to_invoke: 'Agent tool con subagent_type=\"Explore\"',\n    when_applicable: '3+ busquedas Grep/Glob similares',\n    source_type: 'built-in',\n    verified_at: '2026-04-11',\n    detector_id: 'detect-repeated-searches',\n  },\n  {\n    id: 'use-todowrite-long-task',\n    title: 'Usa TodoWrite para tareas multi-paso',\n    description:\n      'TodoWrite mantiene el estado de la tarea sin re-leer archivos, reduciendo redundancia.',\n    savings_estimate: 'Evita re-lectura de estado',\n    savings_source: 'internal',\n    how_to_invoke: 'TodoWrite',\n    when_applicable: '3+ pasos independientes',\n    source_type: 'built-in',\n    verified_at: '2026-04-11',\n    detector_id: null,\n  },\n  {\n    id: 'use-skill-trigger',\n    title: 'Invoca skills en lugar de re-derivar instrucciones',\n    description:\n      'Los skills cargan instrucciones especializadas solo cuando se invocan. Mejor que un CLAUDE.md monolitico.',\n    savings_estimate: '~15k tokens/sesion con progressive disclosure',\n    savings_source: 'community-measured',\n    how_to_invoke: 'Skill tool con nombre del skill',\n    when_applicable: 'Tareas que matchean un skill disponible',\n    source_type: 'skill',\n    verified_at: '2026-04-11',\n    detector_id: 'detect-skill-trigger-ignored',\n  },\n  {\n    id: 'install-serena',\n    title: 'Instala serena-mcp para lecturas simbolicas',\n    description:\n      'serena usa LSP para leer solo los simbolos que necesitas en lugar del archivo completo. Nota: incluye execute_shell_command.',\n    savings_estimate: '20-30% en lecturas de archivos grandes',\n    savings_source: 'community-measured',\n    how_to_invoke: 'uvx --from git+https://github.com/oraios/serena serena start-mcp-server',\n    when_applicable: 'Proyectos con archivos >50k tokens',\n    source_type: 'mcp',\n    verified_at: '2026-04-11',\n    detector_id: 'detect-huge-file-reads',\n  },\n  {\n    id: 'prefer-serena-reads',\n    title: 'Usa Serena en vez de Read para archivos de codigo',\n    description:\n      'Serena lee simbolos (funciones, clases) sin cargar el archivo completo. Usa get_symbols_overview para explorar y find_symbol con include_body para leer solo lo que necesitas. Ahorro tipico: 60-90% vs Read.',\n    savings_estimate: '60-90% en lecturas de codigo',\n    savings_source: 'internal',\n    how_to_invoke: 'get_symbols_overview(path) → find_symbol(name, include_body=true)',\n    when_applicable: 'Archivos .ts/.js/.py/.java >50 lineas donde solo necesitas 1-2 funciones',\n    source_type: 'mcp',\n    verified_at: '2026-04-12',\n    detector_id: 'detect-read-over-serena',\n  },\n  {\n    id: 'install-rtk',\n    title: 'Instala RTK para filtrar salida ruidosa de Bash',\n    description:\n      'RTK filtra output de builds/tests antes de llegar a Claude Code. Publica releases firmadas con GPG.',\n    savings_estimate: '15-25% en ciclos build/test',\n    savings_source: 'community-measured',\n    how_to_invoke: 'brew install standard-input/tap/rtk (macOS) o binario firmado en github.com/standard-input/rtk',\n    when_applicable: 'Proyectos con builds/tests ruidosos',\n    source_type: 'mcp',\n    verified_at: '2026-04-11',\n    detector_id: 'detect-many-bash-commands',\n  },\n  {\n    id: 'use-mcp-prune',\n    title: 'Aplica un allowlist de MCPs por proyecto',\n    description:\n      'Reduce el coste del tool-schema excluyendo MCPs que no usas en este proyecto. ~5-12% adicional sobre Tool Search.',\n    savings_estimate: '5-12% por turno sobre Tool Search nativo',\n    savings_source: 'internal',\n    how_to_invoke: 'mcp_prune_suggest → mcp_prune_apply',\n    when_applicable: 'MCPs registrados pero no usados en el proyecto',\n    source_type: 'mcp',\n    verified_at: '2026-04-11',\n    detector_id: 'detect-unused-mcp-servers',\n  },\n  {\n    id: 'migrate-claudemd-to-skills',\n    title: 'Migra CLAUDE.md grande a skills con progressive disclosure',\n    description:\n      'Un CLAUDE.md monolitico se carga en cada sesion. Los skills solo cargan cuando se invocan. ~15k tokens recuperados.',\n    savings_estimate: '~15k tokens/sesion (82% mejor que CLAUDE.md monolitico)',\n    savings_source: 'community-measured',\n    how_to_invoke: 'Crear skills en .claude/skills/ con triggers especificos',\n    when_applicable: 'CLAUDE.md > 10k tokens con uso parcial',\n    source_type: 'skill',\n    verified_at: '2026-04-11',\n    detector_id: 'detect-claudemd-bloat',\n  },\n  {\n    id: 'use-settings-local',\n    title: 'Configuracion personal en settings.local.json',\n    description:\n      'Evita contaminar settings.json del equipo. settings.local.json es personal y gitignored por defecto.',\n    savings_estimate: 'Higiene, no tokens',\n    savings_source: 'internal',\n    how_to_invoke: 'Editar .claude/settings.local.json',\n    when_applicable: 'Configuracion personal no compartible',\n    source_type: 'settings',\n    verified_at: '2026-04-11',\n    detector_id: null,\n  },\n  {\n    id: 'use-serena-overview-first',\n    title: 'Usa get_symbols_overview antes de find_symbol',\n    description:\n      'Llamar get_symbols_overview una vez da el mapa del archivo. Las llamadas sucesivas find_symbol sin overview previo leen el mismo archivo repetidamente.',\n    savings_estimate: '30-50% menos llamadas Serena por sesion',\n    savings_source: 'internal',\n    how_to_invoke: 'mcp__serena__get_symbols_overview con relative_path antes de find_symbol',\n    when_applicable: 'Al explorar un archivo por primera vez en la sesion',\n    source_type: 'mcp',\n    verified_at: '2026-04-15',\n    detector_id: 'detect-serena-read-cascade',\n  },\n  {\n    id: 'use-prompt-caching',\n    title: 'Estructura prompts para maximizar cache hits',\n    description:\n      'Los tokens leidos del cache cuestan 10x menos. Mantener el prefijo estable (system, CLAUDE.md) aprovecha el cache.',\n    savings_estimate: '10x mas barato en reads cacheados',\n    savings_source: 'anthropic-docs',\n    how_to_invoke: 'Mantener prefijo estable entre turns',\n    when_applicable: 'Siempre',\n    source_type: 'built-in',\n    verified_at: '2026-04-11',\n    detector_id: null,\n  },\n]\n","// Detection rules registry (11 rules) — Phase 4.43\n// Each rule is a pure function over EventContext returning DetectionHit | null.\n// Rules MUST NOT throw; the orchestrator catches everything.\n\nimport type { DetectionRule, DetectionSeverity, ToolEvent } from '../lib/types.js'\n\nfunction countMatching(events: readonly ToolEvent[], predicate: (e: ToolEvent) => boolean): number {\n  let c = 0\n  for (const e of events) if (predicate(e)) c++\n  return c\n}\n\nconst EDIT_TOOLS = new Set(['Edit', 'Write', 'MultiEdit', 'NotebookEdit'])\n\nexport const DETECTION_RULES: readonly DetectionRule[] = [\n  // 1. detect-context-threshold\n  {\n    id: 'detect-context-threshold',\n    tip_ids: ['use-compact-long-session'],\n    run(ctx) {\n      if (ctx.session_token_total === null || ctx.session_token_limit <= 0) return null\n      const percent = ctx.session_token_total / ctx.session_token_limit\n      if (percent < 0.5) return null\n      let severity: DetectionSeverity = 'info'\n      if (percent >= 0.9) severity = 'critical'\n      else if (percent >= 0.75) severity = 'warn'\n      return {\n        rule_id: 'detect-context-threshold',\n        tip_ids: ['use-compact-long-session'],\n        severity,\n        evidence: `Contexto: ${(percent * 100).toFixed(1)}% usado (${ctx.session_token_total}/${ctx.session_token_limit} tokens)`,\n        estimation_method: ctx.session_token_method,\n      }\n    },\n  },\n\n  // 2. detect-long-reasoning-no-code\n  {\n    id: 'detect-long-reasoning-no-code',\n    tip_ids: ['use-plan-mode', 'use-opusplan'],\n    run(ctx) {\n      const recent = ctx.events.slice(0, 10)\n      if (recent.length < 10) return null\n      const edits = countMatching(recent, (e) => EDIT_TOOLS.has(e.tool_name))\n      if (edits > 0) return null\n      return {\n        rule_id: 'detect-long-reasoning-no-code',\n        tip_ids: ['use-plan-mode', 'use-opusplan'],\n        severity: 'info',\n        evidence: '10 eventos recientes sin ediciones de codigo',\n        estimation_method: 'measured_exact',\n      }\n    },\n  },\n\n  // 3. detect-repeated-searches\n  {\n    id: 'detect-repeated-searches',\n    tip_ids: ['use-agent-explore'],\n    run(ctx) {\n      const window = ctx.events.slice(0, 20)\n      const searches = countMatching(window, (e) => e.tool_name === 'Grep' || e.tool_name === 'Glob')\n      if (searches < 3) return null\n      return {\n        rule_id: 'detect-repeated-searches',\n        tip_ids: ['use-agent-explore'],\n        severity: 'info',\n        evidence: `${searches} busquedas Grep/Glob en los ultimos 20 eventos`,\n        estimation_method: 'measured_exact',\n      }\n    },\n  },\n\n  // 4. detect-huge-file-reads\n  {\n    id: 'detect-huge-file-reads',\n    tip_ids: ['install-serena'],\n    run(ctx) {\n      const huge = ctx.events.find((e) => e.tool_name === 'Read' && e.tokens_estimated > 50_000)\n      if (!huge) return null\n      return {\n        rule_id: 'detect-huge-file-reads',\n        tip_ids: ['install-serena'],\n        severity: 'warn',\n        evidence: `Read consumio ${huge.tokens_estimated} tokens (umbral 50k)`,\n        estimation_method: 'measured_exact',\n      }\n    },\n  },\n\n  // 5. detect-many-bash-commands\n  {\n    id: 'detect-many-bash-commands',\n    tip_ids: ['install-rtk'],\n    run(ctx) {\n      const window = ctx.events.slice(0, 100)\n      const bash = countMatching(window, (e) => e.tool_name === 'Bash')\n      if (bash <= 10) return null\n      return {\n        rule_id: 'detect-many-bash-commands',\n        tip_ids: ['install-rtk'],\n        severity: 'info',\n        evidence: `${bash} comandos Bash en los ultimos ${window.length} eventos`,\n        estimation_method: 'measured_exact',\n      }\n    },\n  },\n\n  // 6. detect-clear-opportunity (was #7 — detect-unused-mcp-servers stub removed)\n  {\n    id: 'detect-clear-opportunity',\n    tip_ids: ['use-clear-rename-resume'],\n    run(ctx) {\n      if (ctx.events.length < 40) return null\n      const recentTools = new Set(ctx.events.slice(0, 20).map((e) => e.tool_name))\n      const priorTools = new Set(ctx.events.slice(20, 40).map((e) => e.tool_name))\n      if (recentTools.size === 0) return null\n      let overlap = 0\n      for (const t of recentTools) if (priorTools.has(t)) overlap++\n      const ratio = overlap / recentTools.size\n      if (ratio >= 0.3) return null\n      return {\n        rule_id: 'detect-clear-opportunity',\n        tip_ids: ['use-clear-rename-resume'],\n        severity: 'info',\n        evidence: `Solapamiento de herramientas ${(ratio * 100).toFixed(0)}% — posible pivote de tema`,\n        estimation_method: 'measured_exact',\n      }\n    },\n  },\n\n  // 8. detect-opus-for-simple-task\n  {\n    id: 'detect-opus-for-simple-task',\n    tip_ids: ['default-to-sonnet', 'use-haiku-for-simple'],\n    run(ctx) {\n      if (!ctx.active_model || !/opus/i.test(ctx.active_model)) return null\n      const recent = ctx.events.slice(0, 20)\n      if (recent.length < 6) return null\n      const edits = countMatching(recent, (e) => EDIT_TOOLS.has(e.tool_name))\n      const bash = countMatching(recent, (e) => e.tool_name === 'Bash')\n      // Opus es correcto para planificar/preguntar — solo avisar cuando está ejecutando código\n      if (edits + bash < 6) return null\n      return {\n        rule_id: 'detect-opus-for-simple-task',\n        tip_ids: ['default-to-sonnet', 'use-haiku-for-simple'],\n        severity: 'info',\n        evidence: `Opus ejecutando trabajo mecanico: ${edits} edits + ${bash} Bash en ultimos 20 eventos. Sonnet haria lo mismo un 80% mas barato.`,\n        estimation_method: 'measured_exact',\n      }\n    },\n  },\n\n  // 9. detect-claudemd-bloat (stub — requires filesystem stat at runtime)\n  {\n    id: 'detect-claudemd-bloat',\n    tip_ids: ['migrate-claudemd-to-skills'],\n    run() {\n      return null\n    },\n  },\n\n  // 10. detect-post-milestone-opportunity\n  {\n    id: 'detect-post-milestone-opportunity',\n    tip_ids: ['use-compact-long-session'],\n    run(ctx) {\n      const recent = ctx.events.slice(0, 20)\n      const edits = countMatching(recent, (e) => e.tool_name === 'Edit' || e.tool_name === 'Write')\n      const hasBash = countMatching(recent, (e) => e.tool_name === 'Bash') > 0\n      if (edits < 5 || !hasBash) return null\n      if (ctx.session_token_total === null) return null\n      const percent = ctx.session_token_total / ctx.session_token_limit\n      if (percent < 0.4) return null\n      return {\n        rule_id: 'detect-post-milestone-opportunity',\n        tip_ids: ['use-compact-long-session'],\n        severity: 'info',\n        evidence: `${edits} ediciones + Bash reciente + contexto ${(percent * 100).toFixed(0)}%`,\n        estimation_method: ctx.session_token_method,\n      }\n    },\n  },\n\n  // 11. detect-skill-trigger-ignored (stub — requires skill registry)\n  {\n    id: 'detect-skill-trigger-ignored',\n    tip_ids: ['use-skill-trigger'],\n    run() {\n      return null\n    },\n  },\n\n  // 12. detect-serena-read-cascade\n  // Fires when the agent makes ≥5 find_symbol calls without a get_symbols_overview\n  // in the same window — suggests starting with an overview first.\n  {\n    id: 'detect-serena-read-cascade',\n    tip_ids: ['use-serena-overview-first'],\n    run(ctx) {\n      const window = ctx.events.slice(0, 15)\n      const findSymbolCount = countMatching(\n        window,\n        (e) => e.tool_name === 'mcp__serena__find_symbol',\n      )\n      if (findSymbolCount < 5) return null\n      const hasOverview = window.some(\n        (e) => e.tool_name === 'mcp__serena__get_symbols_overview',\n      )\n      if (hasOverview) return null\n      return {\n        rule_id: 'detect-serena-read-cascade',\n        tip_ids: ['use-serena-overview-first'],\n        severity: 'info' as DetectionSeverity,\n        evidence: `${findSymbolCount} llamadas find_symbol sin get_symbols_overview en los ultimos 15 eventos.`,\n        estimation_method: ctx.session_token_method,\n      }\n    },\n  },\n\n  // 13. detect-read-over-serena\n  {\n    id: 'detect-read-over-serena',\n    tip_ids: ['prefer-serena-reads'],\n    run(ctx) {\n      const window = ctx.events.slice(0, 30)\n      const largeReads = window.filter(\n        (e) => e.tool_name === 'Read' && e.tokens_estimated > 2_000,\n      )\n      if (largeReads.length < 3) return null\n      const totalTokens = largeReads.reduce((sum, e) => sum + e.tokens_estimated, 0)\n      const estimatedSaving = Math.round(totalTokens * 0.7)\n      const severity: DetectionSeverity = largeReads.length >= 6 ? 'warn' : 'info'\n      return {\n        rule_id: 'detect-read-over-serena',\n        tip_ids: ['prefer-serena-reads'],\n        severity,\n        evidence: `${largeReads.length} lecturas Read >2k tokens (total: ${totalTokens}). Serena ahorraria ~${estimatedSaving} tokens (~70%).`,\n        estimation_method: ctx.session_token_method,\n      }\n    },\n  },\n]\n","// Rules orchestrator — Phase 4.44\n// Runs all detection rules, dedupes by (rule_id, tip_id), sorts by severity desc.\n\nimport type { DetectionHit, EventContext } from '../lib/types.js'\nimport { DETECTION_RULES } from './rules.js'\n\nconst SEVERITY_ORDER: Record<string, number> = { critical: 0, warn: 1, info: 2 }\n\nexport function runRules(ctx: EventContext): DetectionHit[] {\n  const hits: DetectionHit[] = []\n  for (const rule of DETECTION_RULES) {\n    try {\n      const hit = rule.run(ctx)\n      if (hit) hits.push(hit)\n    } catch {\n      // swallow — rules must never crash the caller\n    }\n  }\n  // Dedupe by rule_id\n  const seen = new Set<string>()\n  const unique: DetectionHit[] = []\n  for (const h of hits) {\n    if (seen.has(h.rule_id)) continue\n    seen.add(h.rule_id)\n    unique.push(h)\n  }\n  unique.sort((a, b) => (SEVERITY_ORDER[a.severity] ?? 99) - (SEVERITY_ORDER[b.severity] ?? 99))\n  return unique\n}\n","// Context size meter with 3-source fallback — Phase 4.42\n// (1) transcript JSONL → (2) xray HTTP → (3) cumulative DB estimate\n\nimport fs from 'node:fs'\nimport type Database from 'better-sqlite3'\nimport type { ContextMeasurement, EstimationMethod } from '../lib/types.js'\nimport { resolveTranscriptPath } from '../lib/paths.js'\nimport { buildQueries } from '../db/queries.js'\nimport { getSessionTokens } from '../services/xray-client.js'\n\ntype DB = Database.Database\n\nconst DEFAULT_LIMIT = 200_000\nconst OPUS_1M_LIMIT = 1_000_000\nconst BASELINE_TOKENS = 15_000\n\nexport interface ContextMeterOptions {\n  projectDir?: string\n  db?: DB\n  fetchImpl?: typeof fetch\n  activeModel?: string\n}\n\nexport async function measureContextSize(\n  sessionId: string,\n  opts: ContextMeterOptions = {},\n): Promise<ContextMeasurement> {\n  // Strategy 1: transcript JSONL (measured_exact)\n  if (opts.projectDir) {\n    const transcript = readTranscript(opts.projectDir, sessionId)\n    if (transcript) return transcript\n  }\n\n  // Strategy 2: xray HTTP (measured_exact)\n  const xrayResult = await tryXray(sessionId, opts.fetchImpl)\n  if (xrayResult) return xrayResult\n\n  // Strategy 3: cumulative estimate from our DB (estimated_cumulative)\n  const limit = resolveLimit(opts.activeModel)\n  if (opts.db) {\n    return cumulativeEstimate(opts.db, sessionId, limit)\n  }\n\n  return { tokens: 0, limit, percent: 0, estimation_method: 'unknown' }\n}\n\nfunction readTranscript(projectDir: string, sessionId: string): ContextMeasurement | null {\n  try {\n    const p = resolveTranscriptPath(projectDir, sessionId)\n    if (!fs.existsSync(p)) return null\n    const content = fs.readFileSync(p, 'utf8')\n    const lines = content.split('\\n').filter((l) => l.trim().length > 0)\n    let totalTokens = 0\n    let limit = DEFAULT_LIMIT\n    for (const line of lines) {\n      try {\n        const turn = JSON.parse(line) as {\n          usage?: {\n            input_tokens?: number\n            output_tokens?: number\n            cache_read_input_tokens?: number\n          }\n          model?: string\n        }\n        if (turn.usage) {\n          totalTokens +=\n            (turn.usage.input_tokens ?? 0) +\n            (turn.usage.output_tokens ?? 0) +\n            (turn.usage.cache_read_input_tokens ?? 0)\n        }\n        if (turn.model && /1m/i.test(turn.model)) limit = OPUS_1M_LIMIT\n      } catch {\n        // skip unparseable line\n      }\n    }\n    return {\n      tokens: totalTokens,\n      limit,\n      percent: limit > 0 ? totalTokens / limit : 0,\n      estimation_method: 'measured_exact' as EstimationMethod,\n    }\n  } catch {\n    return null\n  }\n}\n\nasync function tryXray(\n  sessionId: string,\n  fetchImpl?: typeof fetch,\n): Promise<ContextMeasurement | null> {\n  const opts: Parameters<typeof getSessionTokens>[1] = {}\n  if (fetchImpl !== undefined) opts.fetchImpl = fetchImpl\n  return getSessionTokens(sessionId, opts)\n}\n\nfunction resolveLimit(activeModel?: string): number {\n  if (activeModel && /1m|opus/i.test(activeModel)) return OPUS_1M_LIMIT\n  return DEFAULT_LIMIT\n}\n\nfunction cumulativeEstimate(\n  db: DB,\n  sessionId: string,\n  limit: number = DEFAULT_LIMIT,\n): ContextMeasurement {\n  const queries = buildQueries(db)\n  const sessionTokens = queries.sumTokensBySession(sessionId)\n  const total = sessionTokens + BASELINE_TOKENS\n  return {\n    tokens: total,\n    limit,\n    percent: total / limit,\n    estimation_method: 'estimated_cumulative',\n  }\n}\n\n/**\n * Synchronous DB-only context measurement for hot paths (PostToolUse).\n * Skips transcript + xray strategies to stay under the 5ms budget. The\n * estimation_method returned ('estimated_cumulative') is surfaced verbatim\n * in tips so the agent knows this is a fast approximation.\n */\nexport function measureContextSizeFromDbSync(\n  db: DB,\n  sessionId: string,\n  activeModel?: string,\n): ContextMeasurement {\n  const limit = resolveLimit(activeModel)\n  return cumulativeEstimate(db, sessionId, limit)\n}\n","// xray client — Phase 5.1\n// Fire-and-forget POST for tool events + GET for session tokens (used by coach context meter).\n// Silent on all failures: no stderr, no throw. Timeout 500ms for post, 300ms for get.\n\nimport type { ContextMeasurement } from '../lib/types.js'\nimport { resolveXrayUrl } from '../cli/config.js'\n\nconst POST_TIMEOUT_MS = 500\nconst GET_TIMEOUT_MS = 300\nconst DEFAULT_LIMIT = 200_000\n\ndeclare const __PKG_VERSION__: string\nconst VERSION = typeof __PKG_VERSION__ !== 'undefined' ? __PKG_VERSION__ : '0.1.0'\n\nexport interface PostToXrayOptions {\n  xrayUrl?: string\n  fetchImpl?: typeof fetch\n  timeoutMs?: number\n}\n\n/**\n * Fire-and-forget POST of a tool event to an xray server.\n * Returns true if the request was attempted, false if skipped (no URL).\n * Any network/parse error is swallowed silently.\n */\nexport async function postToXray(\n  event: Record<string, unknown>,\n  opts: PostToXrayOptions = {},\n): Promise<boolean> {\n  const xrayUrl = opts.xrayUrl ?? resolveXrayUrl()\n  if (!xrayUrl) return false\n  const fetchFn = opts.fetchImpl ?? fetch\n  const controller = new AbortController()\n  const timer = setTimeout(() => controller.abort(), opts.timeoutMs ?? POST_TIMEOUT_MS)\n  try {\n    await fetchFn(`${xrayUrl}/hooks/token-optimizer`, {\n      method: 'POST',\n      headers: { 'content-type': 'application/json' },\n      body: JSON.stringify({\n        source: 'token-optimizer-mcp',\n        version: VERSION,\n        event,\n      }),\n      signal: controller.signal,\n    })\n    return true\n  } catch {\n    return false\n  } finally {\n    clearTimeout(timer)\n  }\n}\n\nconst SUMMARY_TIMEOUT_MS = 2000\n\n/**\n * Fire-and-forget POST of session summary to xray.\n * Only called once per session (not in hot path), so allows longer timeout.\n */\nexport async function postSummaryToXray(\n  summary: Record<string, unknown>,\n  opts: PostToXrayOptions = {},\n): Promise<boolean> {\n  const xrayUrl = opts.xrayUrl ?? resolveXrayUrl()\n  if (!xrayUrl) return false\n  const fetchFn = opts.fetchImpl ?? fetch\n  const controller = new AbortController()\n  const timer = setTimeout(() => controller.abort(), opts.timeoutMs ?? SUMMARY_TIMEOUT_MS)\n  try {\n    await fetchFn(`${xrayUrl}/hooks/token-optimizer/summary`, {\n      method: 'POST',\n      headers: { 'content-type': 'application/json' },\n      body: JSON.stringify({\n        source: 'token-optimizer-mcp',\n        version: VERSION,\n        summary,\n      }),\n      signal: controller.signal,\n    })\n    return true\n  } catch {\n    return false\n  } finally {\n    clearTimeout(timer)\n  }\n}\n\nexport interface GetSessionTokensOptions {\n  xrayUrl?: string\n  fetchImpl?: typeof fetch\n  timeoutMs?: number\n}\n\n/**\n * Read real token counts from xray for a given session.\n * Returns null on any failure or when XRAY_URL is unset.\n */\nexport async function getSessionTokens(\n  sessionId: string,\n  opts: GetSessionTokensOptions = {},\n): Promise<ContextMeasurement | null> {\n  const xrayUrl = opts.xrayUrl ?? resolveXrayUrl()\n  if (!xrayUrl) return null\n  const fetchFn = opts.fetchImpl ?? fetch\n  const controller = new AbortController()\n  const timer = setTimeout(() => controller.abort(), opts.timeoutMs ?? GET_TIMEOUT_MS)\n  try {\n    const res = await fetchFn(\n      `${xrayUrl}/sessions/${encodeURIComponent(sessionId)}/tokens`,\n      { signal: controller.signal },\n    )\n    if (!res.ok) return null\n    const data = (await res.json()) as { tokens?: number; limit?: number }\n    const tokens = data.tokens ?? 0\n    const limit = data.limit ?? DEFAULT_LIMIT\n    return {\n      tokens,\n      limit,\n      percent: limit > 0 ? tokens / limit : 0,\n      estimation_method: 'measured_exact',\n    }\n  } catch {\n    return null\n  } finally {\n    clearTimeout(timer)\n  }\n}\n","// Surfacing dedupe + log writer — Phase 4.45\n// Writes to coach_surface_log with session+rule+tip+via+severity.\n\nimport type Database from 'better-sqlite3'\nimport type { DetectionHit } from '../lib/types.js'\n\ntype DB = Database.Database\n\nexport type SurfacedVia = 'sessionstart' | 'posttooluse' | 'mcp' | 'cli'\n\n/**\n * Returns true if this (session, rule, tip) was surfaced within the last\n * `windowSeconds` seconds. Used by the PostToolUse throttle path.\n */\nexport function checkDedupe(\n  db: DB,\n  sessionId: string,\n  ruleId: string,\n  tipId: string,\n  windowSeconds: number,\n): boolean {\n  const row = db\n    .prepare(\n      `SELECT 1 FROM coach_surface_log\n       WHERE session_id = ? AND rule_id = ? 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Array<{ rule_id: string; tip_id: string; severity: string }>\n\n  // Group tip_ids by rule_id\n  const map = new Map<string, { tip_ids: string[]; severity: string }>()\n  for (const row of rows) {\n    if (!map.has(row.rule_id)) {\n      map.set(row.rule_id, { tip_ids: [], severity: row.severity })\n    }\n    const entry = map.get(row.rule_id)!\n    if (!entry.tip_ids.includes(row.tip_id)) {\n      entry.tip_ids.push(row.tip_id)\n    }\n  }\n\n  return Array.from(map.entries()).map(([rule_id, v]) => ({\n    rule_id,\n    tip_ids: v.tip_ids,\n    severity: v.severity,\n  }))\n}\n\nexport function clearSurfaceLog(db: DB, sessionId?: string): number {\n  if (sessionId) {\n    const info = db.prepare(`DELETE FROM coach_surface_log WHERE session_id = ?`).run(sessionId)\n    return info.changes as number\n  }\n  const info = db.prepare(`DELETE FROM coach_surface_log`).run()\n  return info.changes as 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dist/chunk-3CAOEPYE.js

+#!/usr/bin/env node
+import {
+  measureCurrentSchemaBytes
+} from "./chunk-L5Z32XXL.js";
+import {
+  getDb
+} from "./chunk-TOEPQYR3.js";
+import {
+  resolveAnalyticsDbPath,
+  resolveProjectDir
+} from "./chunk-V4PINTCV.js";
+
+// src/cli/prune-mcp.ts
+import fs from "fs";
+import path from "path";
+var MCP_TOOL_RE = /^mcp__([^_]+(?:_[^_]+)*?)__/;
+function extractServerFromToolName(toolName) {
+  const m = MCP_TOOL_RE.exec(toolName);
+  return m ? m[1] : null;
+}
+function settingsLocalPath(cwd) {
+  return path.join(cwd, ".claude", "settings.local.json");
+}
+function readJsonSafe(p) {
+  try {
+    if (!fs.existsSync(p)) return {};
+    return JSON.parse(fs.readFileSync(p, "utf8"));
+  } catch {
+    return {};
+  }
+}
+function writeJson(p, data) {
+  fs.mkdirSync(path.dirname(p), { recursive: true });
+  fs.writeFileSync(p, JSON.stringify(data, null, 2));
+}
+function generateFromHistory(opts = {}) {
+  const cwd = opts.cwd ?? process.cwd();
+  const days = opts.days ?? 14;
+  const projectDir = resolveProjectDir(cwd);
+  const dbPath = resolveAnalyticsDbPath(projectDir);
+  const since = new Date(Date.now() - days * 864e5).toISOString();
+  const serverCounts = {};
+  if (fs.existsSync(dbPath)) {
+    const db = getDb(dbPath);
+    const rows = db.prepare(
+      `SELECT tool_name, COUNT(*) as count
+         FROM tool_calls
+         WHERE created_at >= ? AND tool_name LIKE 'mcp__%'
+         GROUP BY tool_name`
+    ).all(since);
+    for (const row of rows) {
+      const server = extractServerFromToolName(row.tool_name);
+      if (server) {
+        serverCounts[server] = (serverCounts[server] ?? 0) + row.count;
+      }
+    }
+  }
+  const schema = measureCurrentSchemaBytes({ cwd, home: opts.home });
+  const registered = new Set(schema.mcp_servers);
+  const used = new Set(Object.keys(serverCounts));
+  const inactive = [...registered].filter((s) => !used.has(s));
+  return {
+    proposed_allowlist: [...used],
+    inactive_servers: inactive,
+    analysis_days: days,
+    total_mcp_events: Object.values(serverCounts).reduce((a, b) => a + b, 0),
+    server_counts: serverCounts
+  };
+}
+function timestampForBackup() {
+  return (/* @__PURE__ */ new Date()).toISOString().replace(/[:.]/g, "-");
+}
+function insertSnapshot(cwd, method, details) {
+  try {
+    const projectDir = resolveProjectDir(cwd);
+    const dbPath = resolveAnalyticsDbPath(projectDir);
+    if (!fs.existsSync(dbPath)) return;
+    const db = getDb(dbPath);
+    db.prepare(`INSERT INTO optimization_snapshots (method, details) VALUES (?, ?)`).run(
+      method,
+      JSON.stringify(details)
+    );
+  } catch {
+  }
+}
+function applyAllowlist(allowlist, opts = {}) {
+  const cwd = opts.cwd ?? process.cwd();
+  const source = opts.source ?? "cli";
+  const settingsPath = settingsLocalPath(cwd);
+  const backupPath = `${settingsPath}.backup-${timestampForBackup()}`;
+  if (fs.existsSync(settingsPath)) {
+    fs.copyFileSync(settingsPath, backupPath);
+  } else {
+    fs.mkdirSync(path.dirname(backupPath), { recursive: true });
+    fs.writeFileSync(backupPath, "{}");
+  }
+  const current = readJsonSafe(settingsPath);
+  current.enabledMcpjsonServers = allowlist;
+  writeJson(settingsPath, current);
+  insertSnapshot(cwd, source === "mcp" ? "allowlist_generated_via_mcp" : "allowlist_generated", {
+    allowlist,
+    target: settingsPath,
+    backup: backupPath
+  });
+  return { settings_path: settingsPath, backup_path: backupPath };
+}
+function rollback(opts = {}) {
+  const cwd = opts.cwd ?? process.cwd();
+  const settingsPath = settingsLocalPath(cwd);
+  const dir = path.dirname(settingsPath);
+  if (!fs.existsSync(dir)) return { restored: false, from: null };
+  const backups = fs.readdirSync(dir).filter((f) => f.startsWith("settings.local.json.backup-")).sort();
+  if (backups.length === 0) return { restored: false, from: null };
+  const target = opts.to ? backups.find((b) => b.includes(opts.to)) : backups[backups.length - 1];
+  if (!target) return { restored: false, from: null };
+  const backupPath = path.join(dir, target);
+  fs.copyFileSync(backupPath, settingsPath);
+  insertSnapshot(cwd, "rollback", { from: backupPath, to: settingsPath });
+  return { restored: true, from: backupPath };
+}
+function clearAllowlist(opts = {}) {
+  const cwd = opts.cwd ?? process.cwd();
+  const settingsPath = settingsLocalPath(cwd);
+  if (!fs.existsSync(settingsPath)) return { cleared: false, backup_path: null };
+  const backupPath = `${settingsPath}.backup-${timestampForBackup()}`;
+  fs.copyFileSync(settingsPath, backupPath);
+  const json = readJsonSafe(settingsPath);
+  delete json.enabledMcpjsonServers;
+  writeJson(settingsPath, json);
+  insertSnapshot(cwd, "allowlist_cleared", { backup: backupPath });
+  return { cleared: true, backup_path: backupPath };
+}
+function impact(opts = {}) {
+  const cwd = opts.cwd ?? process.cwd();
+  const projectDir = resolveProjectDir(cwd);
+  const dbPath = resolveAnalyticsDbPath(projectDir);
+  if (!fs.existsSync(dbPath)) {
+    return { before_avg: null, after_avg: null, delta: null, percent: null, snapshot_at: null };
+  }
+  const db = getDb(dbPath);
+  const snapshot = db.prepare(
+    `SELECT created_at FROM optimization_snapshots
+       WHERE method LIKE 'allowlist_%'
+       ORDER BY created_at DESC LIMIT 1`
+  ).get();
+  if (!snapshot) {
+    return { before_avg: null, after_avg: null, delta: null, percent: null, snapshot_at: null };
+  }
+  const before = db.prepare(
+    `SELECT AVG(tokens_estimated) as avg FROM (
+         SELECT tokens_estimated FROM tool_calls WHERE created_at < ? ORDER BY created_at DESC LIMIT 100
+       )`
+  ).get(snapshot.created_at);
+  const after = db.prepare(
+    `SELECT AVG(tokens_estimated) as avg FROM (
+         SELECT tokens_estimated FROM tool_calls WHERE created_at >= ? ORDER BY created_at ASC LIMIT 100
+       )`
+  ).get(snapshot.created_at);
+  const beforeAvg = before.avg;
+  const afterAvg = after.avg;
+  const delta = beforeAvg !== null && afterAvg !== null ? afterAvg - beforeAvg : null;
+  const percent = beforeAvg !== null && beforeAvg > 0 && afterAvg !== null ? (afterAvg - beforeAvg) / beforeAvg : null;
+  return {
+    before_avg: beforeAvg,
+    after_avg: afterAvg,
+    delta,
+    percent,
+    snapshot_at: snapshot.created_at
+  };
+}
+function runPruneMcp(args = [], opts = {}) {
+  const print = opts.print ?? ((m) => console.error(m));
+  const cwd = opts.cwd ?? process.cwd();
+  if (args.includes("--generate-from-history")) {
+    const daysFlag = args.find((a) => a.startsWith("--days="));
+    const days = daysFlag ? parseInt(daysFlag.split("=")[1], 10) : 14;
+    const result = generateFromHistory({ cwd, days });
+    print(`Propuesta de allowlist (${days} dias de historial):`);
+    print(`  Usados:    ${result.proposed_allowlist.join(", ") || "(ninguno)"}`);
+    print(`  Inactivos: ${result.inactive_servers.join(", ") || "(ninguno)"}`);
+    print(`  Eventos MCP totales: ${result.total_mcp_events}`);
+    return 0;
+  }
+  if (args.includes("--apply")) {
+    const generated = generateFromHistory({ cwd });
+    if (generated.proposed_allowlist.length === 0) {
+      print("No hay MCPs activos en el historial. Nada que aplicar.");
+      return 1;
+    }
+    const applied = applyAllowlist(generated.proposed_allowlist, { cwd });
+    print(`Allowlist aplicado a ${applied.settings_path}`);
+    print(`Backup: ${applied.backup_path}`);
+    return 0;
+  }
+  if (args.includes("--rollback")) {
+    const toFlag = args.find((a) => a.startsWith("--to="));
+    const to = toFlag ? toFlag.split("=")[1] : void 0;
+    const result = rollback({ cwd, to });
+    if (result.restored) {
+      print(`Restaurado desde ${result.from}`);
+      return 0;
+    }
+    print("No hay backups disponibles.");
+    return 1;
+  }
+  if (args.includes("--clear")) {
+    const result = clearAllowlist({ cwd });
+    print(result.cleared ? `Allowlist eliminado (backup: ${result.backup_path})` : "Nada que eliminar");
+    return 0;
+  }
+  if (args.includes("--impact")) {
+    const result = impact({ cwd });
+    if (result.snapshot_at === null) {
+      print("No hay snapshots de allowlist todavia.");
+      return 0;
+    }
+    print(`Snapshot mas reciente: ${result.snapshot_at}`);
+    print(`Promedio tokens/evento antes: ${result.before_avg?.toFixed(1) ?? "n/a"}`);
+    print(`Promedio tokens/evento despues: ${result.after_avg?.toFixed(1) ?? "n/a"}`);
+    if (result.percent !== null) {
+      print(`Delta: ${(result.percent * 100).toFixed(1)}%`);
+    }
+    return 0;
+  }
+  const schema = measureCurrentSchemaBytes({ cwd });
+  print(`MCPs registrados (${schema.mcp_servers.length}):`);
+  for (const s of schema.mcp_servers) {
+    print(`  ${s}`);
+  }
+  print(`Coste estimado (heuristica): ~${schema.tool_schema_tokens} tokens`);
+  print("");
+  print("Flags:");
+  print("  --generate-from-history [--days N]   Propone allowlist (read-only)");
+  print("  --apply                               Aplica el allowlist generado");
+  print("  --rollback [--to TIMESTAMP]           Restaura el ultimo backup");
+  print("  --clear                               Elimina allowlist actual");
+  print("  --impact                              Compara antes/despues del ultimo snapshot");
+  return 0;
+}
+
+export {
+  settingsLocalPath,
+  generateFromHistory,
+  applyAllowlist,
+  rollback,
+  clearAllowlist,
+  impact,
+  runPruneMcp
+};
+//# sourceMappingURL=chunk-3CAOEPYE.js.map

dist/chunk-3CAOEPYE.js.map

+{"version":3,"sources":["../src/cli/prune-mcp.ts"],"sourcesContent":["// prune-mcp CLI + service — Phase 4.16-4.22\n// Generate allowlist from history, apply/rollback/clear, compute impact.\n// Writes to .claude/settings.local.json (NOT settings.json).\n\nimport fs from 'node:fs'\nimport path from 'node:path'\nimport { getDb } from '../db/connection.js'\nimport { resolveProjectDir, resolveAnalyticsDbPath } from '../lib/paths.js'\nimport { measureCurrentSchemaBytes } from '../orchestration/schema-measurer.js'\n\nconst MCP_TOOL_RE = /^mcp__([^_]+(?:_[^_]+)*?)__/\n\nfunction extractServerFromToolName(toolName: string): string | null {\n  const m = MCP_TOOL_RE.exec(toolName)\n  return m ? m[1] : null\n}\n\nexport function settingsLocalPath(cwd: string): string {\n  return path.join(cwd, '.claude', 'settings.local.json')\n}\n\nfunction readJsonSafe(p: string): Record<string, unknown> {\n  try {\n    if (!fs.existsSync(p)) return {}\n    return JSON.parse(fs.readFileSync(p, 'utf8')) as Record<string, unknown>\n  } catch {\n    return {}\n  }\n}\n\nfunction writeJson(p: string, data: Record<string, unknown>): void {\n  fs.mkdirSync(path.dirname(p), { recursive: true })\n  fs.writeFileSync(p, JSON.stringify(data, null, 2))\n}\n\nexport interface GeneratedAllowlist {\n  proposed_allowlist: string[]\n  inactive_servers: string[]\n  analysis_days: number\n  total_mcp_events: number\n  server_counts: Record<string, number>\n}\n\nexport interface GenerateOptions {\n  cwd?: string\n  days?: number\n  home?: string\n}\n\nexport function generateFromHistory(opts: GenerateOptions = {}): GeneratedAllowlist {\n  const cwd = opts.cwd ?? process.cwd()\n  const days = opts.days ?? 14\n  const projectDir = resolveProjectDir(cwd)\n  const dbPath = resolveAnalyticsDbPath(projectDir)\n  const since = new Date(Date.now() - days * 86_400_000).toISOString()\n\n  const serverCounts: Record<string, number> = {}\n  if (fs.existsSync(dbPath)) {\n    const db = getDb(dbPath)\n    const rows = db\n      .prepare(\n        `SELECT tool_name, COUNT(*) as count\n         FROM tool_calls\n         WHERE created_at >= ? AND tool_name LIKE 'mcp__%'\n         GROUP BY tool_name`,\n      )\n      .all(since) as Array<{ tool_name: string; count: number }>\n    for (const row of rows) {\n      const server = extractServerFromToolName(row.tool_name)\n      if (server) {\n        serverCounts[server] = (serverCounts[server] ?? 0) + row.count\n      }\n    }\n  }\n\n  const schema = measureCurrentSchemaBytes({ cwd, home: opts.home })\n  const registered = new Set(schema.mcp_servers)\n  const used = new Set(Object.keys(serverCounts))\n  const inactive = [...registered].filter((s) => !used.has(s))\n\n  return {\n    proposed_allowlist: [...used],\n    inactive_servers: inactive,\n    analysis_days: days,\n    total_mcp_events: Object.values(serverCounts).reduce((a, b) => a + b, 0),\n    server_counts: serverCounts,\n  }\n}\n\nexport interface ApplyOptions {\n  cwd?: string\n  source?: 'cli' | 'mcp'\n}\n\nexport interface ApplyResult {\n  settings_path: string\n  backup_path: string\n}\n\nfunction timestampForBackup(): string {\n  return new Date().toISOString().replace(/[:.]/g, '-')\n}\n\nfunction insertSnapshot(cwd: string, method: string, details: Record<string, unknown>): void {\n  try {\n    const projectDir = resolveProjectDir(cwd)\n    const dbPath = resolveAnalyticsDbPath(projectDir)\n    if (!fs.existsSync(dbPath)) return\n    const db = getDb(dbPath)\n    db.prepare(`INSERT INTO optimization_snapshots (method, details) VALUES (?, ?)`).run(\n      method,\n      JSON.stringify(details),\n    )\n  } catch {\n    // swallow\n  }\n}\n\nexport function applyAllowlist(allowlist: string[], opts: ApplyOptions = {}): ApplyResult {\n  const cwd = opts.cwd ?? process.cwd()\n  const source = opts.source ?? 'cli'\n  const settingsPath = settingsLocalPath(cwd)\n  const backupPath = `${settingsPath}.backup-${timestampForBackup()}`\n\n  if (fs.existsSync(settingsPath)) {\n    fs.copyFileSync(settingsPath, backupPath)\n  } else {\n    fs.mkdirSync(path.dirname(backupPath), { recursive: true })\n    fs.writeFileSync(backupPath, '{}')\n  }\n\n  const current = readJsonSafe(settingsPath)\n  current.enabledMcpjsonServers = allowlist\n  writeJson(settingsPath, current)\n\n  insertSnapshot(cwd, source === 'mcp' ? 'allowlist_generated_via_mcp' : 'allowlist_generated', {\n    allowlist,\n    target: settingsPath,\n    backup: backupPath,\n  })\n\n  return { settings_path: settingsPath, backup_path: backupPath }\n}\n\nexport interface RollbackOptions {\n  cwd?: string\n  to?: string\n}\n\nexport interface RollbackResult {\n  restored: boolean\n  from: string | null\n}\n\nexport function rollback(opts: RollbackOptions = {}): RollbackResult {\n  const cwd = opts.cwd ?? process.cwd()\n  const settingsPath = settingsLocalPath(cwd)\n  const dir = path.dirname(settingsPath)\n  if (!fs.existsSync(dir)) return { restored: false, from: null }\n\n  const backups = fs\n    .readdirSync(dir)\n    .filter((f) => f.startsWith('settings.local.json.backup-'))\n    .sort()\n  if (backups.length === 0) return { restored: false, from: null }\n\n  const target = opts.to ? backups.find((b) => b.includes(opts.to!)) : backups[backups.length - 1]\n  if (!target) return { restored: false, from: null }\n\n  const backupPath = path.join(dir, target)\n  fs.copyFileSync(backupPath, settingsPath)\n\n  insertSnapshot(cwd, 'rollback', { from: backupPath, to: settingsPath })\n  return { restored: true, from: backupPath }\n}\n\nexport function clearAllowlist(opts: { cwd?: string } = {}): { cleared: boolean; backup_path: string | null } {\n  const cwd = opts.cwd ?? process.cwd()\n  const settingsPath = settingsLocalPath(cwd)\n  if (!fs.existsSync(settingsPath)) return { cleared: false, backup_path: null }\n\n  const backupPath = `${settingsPath}.backup-${timestampForBackup()}`\n  fs.copyFileSync(settingsPath, backupPath)\n\n  const json = readJsonSafe(settingsPath)\n  delete json.enabledMcpjsonServers\n  writeJson(settingsPath, json)\n\n  insertSnapshot(cwd, 'allowlist_cleared', { backup: backupPath })\n  return { cleared: true, backup_path: backupPath }\n}\n\nexport interface ImpactResult {\n  before_avg: number | null\n  after_avg: number | null\n  delta: number | null\n  percent: number | null\n  snapshot_at: string | null\n}\n\nexport function impact(opts: { cwd?: string } = {}): ImpactResult {\n  const cwd = opts.cwd ?? process.cwd()\n  const projectDir = resolveProjectDir(cwd)\n  const dbPath = resolveAnalyticsDbPath(projectDir)\n  if (!fs.existsSync(dbPath)) {\n    return { before_avg: null, after_avg: null, delta: null, percent: null, snapshot_at: null }\n  }\n  const db = getDb(dbPath)\n  const snapshot = db\n    .prepare(\n      `SELECT created_at FROM optimization_snapshots\n       WHERE method LIKE 'allowlist_%'\n       ORDER BY created_at DESC LIMIT 1`,\n    )\n    .get() as { created_at: string } | undefined\n  if (!snapshot) {\n    return { before_avg: null, after_avg: null, delta: null, percent: null, snapshot_at: null }\n  }\n\n  const before = db\n    .prepare(\n      `SELECT AVG(tokens_estimated) as avg FROM (\n         SELECT tokens_estimated FROM tool_calls WHERE created_at < ? ORDER BY created_at DESC LIMIT 100\n       )`,\n    )\n    .get(snapshot.created_at) as { avg: number | null }\n  const after = db\n    .prepare(\n      `SELECT AVG(tokens_estimated) as avg FROM (\n         SELECT tokens_estimated FROM tool_calls WHERE created_at >= ? ORDER BY created_at ASC LIMIT 100\n       )`,\n    )\n    .get(snapshot.created_at) as { avg: number | null }\n\n  const beforeAvg = before.avg\n  const afterAvg = after.avg\n  const delta = beforeAvg !== null && afterAvg !== null ? afterAvg - beforeAvg : null\n  const percent =\n    beforeAvg !== null && beforeAvg > 0 && afterAvg !== null\n      ? (afterAvg - beforeAvg) / beforeAvg\n      : null\n\n  return {\n    before_avg: beforeAvg,\n    after_avg: afterAvg,\n    delta,\n    percent,\n    snapshot_at: snapshot.created_at,\n  }\n}\n\nexport interface PruneMcpCliOptions {\n  cwd?: string\n  print?: (msg: string) => void\n}\n\nexport function runPruneMcp(args: string[] = [], opts: PruneMcpCliOptions = {}): number {\n  const print = opts.print ?? ((m: string) => console.error(m))\n  const cwd = opts.cwd ?? process.cwd()\n\n  if (args.includes('--generate-from-history')) {\n    const daysFlag = args.find((a) => a.startsWith('--days='))\n    const days = daysFlag ? parseInt(daysFlag.split('=')[1], 10) : 14\n    const result = generateFromHistory({ cwd, days })\n    print(`Propuesta de allowlist (${days} dias de historial):`)\n    print(`  Usados:    ${result.proposed_allowlist.join(', ') || '(ninguno)'}`)\n    print(`  Inactivos: ${result.inactive_servers.join(', ') || '(ninguno)'}`)\n    print(`  Eventos MCP totales: ${result.total_mcp_events}`)\n    return 0\n  }\n\n  if (args.includes('--apply')) {\n    const generated = generateFromHistory({ cwd })\n    if (generated.proposed_allowlist.length === 0) {\n      print('No hay MCPs activos en el historial. Nada que aplicar.')\n      return 1\n    }\n    const applied = applyAllowlist(generated.proposed_allowlist, { cwd })\n    print(`Allowlist aplicado a ${applied.settings_path}`)\n    print(`Backup: ${applied.backup_path}`)\n    return 0\n  }\n\n  if (args.includes('--rollback')) {\n    const toFlag = args.find((a) => a.startsWith('--to='))\n    const to = toFlag ? toFlag.split('=')[1] : undefined\n    const result = rollback({ cwd, to })\n    if (result.restored) {\n      print(`Restaurado desde ${result.from}`)\n      return 0\n    }\n    print('No hay backups disponibles.')\n    return 1\n  }\n\n  if (args.includes('--clear')) {\n    const result = clearAllowlist({ cwd })\n    print(result.cleared ? `Allowlist eliminado (backup: ${result.backup_path})` : 'Nada que eliminar')\n    return 0\n  }\n\n  if (args.includes('--impact')) {\n    const result = impact({ cwd })\n    if (result.snapshot_at === null) {\n      print('No hay snapshots de allowlist todavia.')\n      return 0\n    }\n    print(`Snapshot mas reciente: ${result.snapshot_at}`)\n    print(`Promedio tokens/evento antes: ${result.before_avg?.toFixed(1) ?? 'n/a'}`)\n    print(`Promedio tokens/evento despues: ${result.after_avg?.toFixed(1) ?? 'n/a'}`)\n    if (result.percent !== null) {\n      print(`Delta: ${(result.percent * 100).toFixed(1)}%`)\n    }\n    return 0\n  }\n\n  // Default: list registered MCPs with estimated cost\n  const schema = measureCurrentSchemaBytes({ cwd })\n  print(`MCPs registrados (${schema.mcp_servers.length}):`)\n  for (const s of schema.mcp_servers) {\n    print(`  ${s}`)\n  }\n  print(`Coste estimado (heuristica): ~${schema.tool_schema_tokens} tokens`)\n  print('')\n  print('Flags:')\n  print('  --generate-from-history [--days N]   Propone allowlist (read-only)')\n  print('  --apply                               Aplica el allowlist generado')\n  print('  --rollback [--to TIMESTAMP]           Restaura el ultimo backup')\n  print('  --clear                               Elimina allowlist actual')\n  print('  --impact                              Compara antes/despues del ultimo snapshot')\n  return 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dist/chunk-3LSC7CFQ.js

+#!/usr/bin/env node
+import {
+  BudgetManager
+} from "./chunk-DK5JDNWQ.js";
+import {
+  buildQueries
+} from "./chunk-OIZX7KF2.js";
+
+// src/services/stats.ts
+var DAY_MS = 864e5;
+var HAIKU_INPUT_PER_MTOK = 1;
+var SONNET_INPUT_PER_MTOK = 3;
+var OPUS_INPUT_PER_MTOK = 5;
+function sinceDays(days) {
+  return new Date(Date.now() - days * DAY_MS).toISOString();
+}
+function getUsageStats(db, days = 7) {
+  const queries = buildQueries(db);
+  const since = sinceDays(days);
+  const byTool = queries.countToolCallsByTool(since);
+  const bySource = queries.countToolCallsBySource(since);
+  const totalTokens = bySource.reduce((sum, r) => sum + r.tokens, 0);
+  const totalEvents = bySource.reduce((sum, r) => sum + r.count, 0);
+  return {
+    period_days: days,
+    period_since: since,
+    by_tool: byTool,
+    by_source: bySource,
+    total_tokens: totalTokens,
+    total_events: totalEvents
+  };
+}
+function getCostReport(db, days = 7) {
+  const usage = getUsageStats(db, days);
+  const mtok = usage.total_tokens / 1e6;
+  const haiku = Number((mtok * HAIKU_INPUT_PER_MTOK).toFixed(4));
+  const sonnet = Number((mtok * SONNET_INPUT_PER_MTOK).toFixed(4));
+  const opus = Number((mtok * OPUS_INPUT_PER_MTOK).toFixed(4));
+  return {
+    period_days: days,
+    total_tokens: usage.total_tokens,
+    estimated_cost_usd_haiku: haiku,
+    estimated_cost_usd_sonnet: sonnet,
+    estimated_cost_usd_opus: opus,
+    estimated_cost_usd_min: haiku,
+    estimated_cost_usd_max: opus,
+    by_source: usage.by_source,
+    disclaimer: "Coste estimado de tokens de herramientas (input al modelo). Haiku $1, Sonnet $3, Opus $5 por MTok. Revisa tu factura Anthropic para el coste real."
+  };
+}
+function getActiveBudgetSummary(db, sessionId, projectHash) {
+  const mgr = new BudgetManager(db);
+  return mgr.checkBudget(sessionId, projectHash);
+}
+
+export {
+  getUsageStats,
+  getCostReport,
+  getActiveBudgetSummary
+};
+//# sourceMappingURL=chunk-3LSC7CFQ.js.map

dist/chunk-3LSC7CFQ.js.map

+{"version":3,"sources":["../src/services/stats.ts"],"sourcesContent":["// Shared stats service — Phase 4.4\n// Read-only aggregates used by CLI and MCP tools.\n\nimport type Database from 'better-sqlite3'\nimport { buildQueries, type ToolCountRow, type SourceCountRow } from '../db/queries.js'\nimport { BudgetManager } from './budget-manager.js'\nimport type { BudgetStatus } from '../lib/types.js'\n\ntype DB = Database.Database\n\nconst DAY_MS = 86_400_000\n// Pricing April 2026 — input tokens (tool output → model input)\n// Haiku 4.5: $1/$5, Sonnet 4.6: $3/$15, Opus 4.6: $5/$25 per MTok (input/output)\n// token-optimizer tracks tool output (= model input), so we use input pricing.\nconst HAIKU_INPUT_PER_MTOK = 1\nconst SONNET_INPUT_PER_MTOK = 3\nconst OPUS_INPUT_PER_MTOK = 5\n\nfunction sinceDays(days: number): string {\n  return new Date(Date.now() - days * DAY_MS).toISOString()\n}\n\nexport interface UsageStats {\n  period_days: number\n  period_since: string\n  by_tool: ToolCountRow[]\n  by_source: SourceCountRow[]\n  total_tokens: number\n  total_events: number\n}\n\nexport interface CostReport {\n  period_days: number\n  total_tokens: number\n  estimated_cost_usd_haiku: number\n  estimated_cost_usd_sonnet: number\n  estimated_cost_usd_opus: number\n  /** @deprecated Use estimated_cost_usd_haiku */\n  estimated_cost_usd_min: number\n  /** @deprecated Use estimated_cost_usd_opus */\n  estimated_cost_usd_max: number\n  by_source: SourceCountRow[]\n  disclaimer: string\n}\n\nexport interface SavingsToday {\n  date: string\n  by_source: SourceCountRow[]\n  total_tokens: number\n  note: string\n}\n\nexport function getUsageStats(db: DB, days = 7): UsageStats {\n  const queries = buildQueries(db)\n  const since = sinceDays(days)\n  const byTool = queries.countToolCallsByTool(since)\n  const bySource = queries.countToolCallsBySource(since)\n  const totalTokens = bySource.reduce((sum, r) => sum + r.tokens, 0)\n  const totalEvents = bySource.reduce((sum, r) => sum + r.count, 0)\n  return {\n    period_days: days,\n    period_since: since,\n    by_tool: byTool,\n    by_source: bySource,\n    total_tokens: totalTokens,\n    total_events: totalEvents,\n  }\n}\n\nexport function getCostReport(db: DB, days = 7): CostReport {\n  const usage = getUsageStats(db, days)\n  const mtok = usage.total_tokens / 1_000_000\n  const haiku = Number((mtok * HAIKU_INPUT_PER_MTOK).toFixed(4))\n  const sonnet = Number((mtok * SONNET_INPUT_PER_MTOK).toFixed(4))\n  const opus = Number((mtok * OPUS_INPUT_PER_MTOK).toFixed(4))\n  return {\n    period_days: days,\n    total_tokens: usage.total_tokens,\n    estimated_cost_usd_haiku: haiku,\n    estimated_cost_usd_sonnet: sonnet,\n    estimated_cost_usd_opus: opus,\n    estimated_cost_usd_min: haiku,\n    estimated_cost_usd_max: opus,\n    by_source: usage.by_source,\n    disclaimer:\n      'Coste estimado de tokens de herramientas (input al modelo). Haiku $1, Sonnet $3, Opus $5 por MTok. Revisa tu factura Anthropic para el coste real.',\n  }\n}\n\nexport function getActiveBudgetSummary(\n  db: DB,\n  sessionId: string,\n  projectHash: string | null,\n): BudgetStatus {\n  const mgr = new BudgetManager(db)\n  return mgr.checkBudget(sessionId, projectHash)\n}\n\nexport function getSavingsToday(db: DB): SavingsToday {\n  const queries = buildQueries(db)\n  const since = sinceDays(1)\n  const bySource = queries.countToolCallsBySource(since)\n  const total = bySource.reduce((sum, r) => sum + r.tokens, 0)\n  return {\n    date: new Date().toISOString().slice(0, 10),\n    by_source: bySource,\n    total_tokens: total,\n    note: 'Ahorros por fuente no medidos directamente; revisa el reporte para el split Medido/Estimado.',\n  }\n}\n"],"mappings":";;;;;;;;;AAUA,IAAM,SAAS;AAIf,IAAM,uBAAuB;AAC7B,IAAM,wBAAwB;AAC9B,IAAM,sBAAsB;AAE5B,SAAS,UAAU,MAAsB;AACvC,SAAO,IAAI,KAAK,KAAK,IAAI,IAAI,OAAO,MAAM,EAAE,YAAY;AAC1D;AAgCO,SAAS,cAAc,IAAQ,OAAO,GAAe;AAC1D,QAAM,UAAU,aAAa,EAAE;AAC/B,QAAM,QAAQ,UAAU,IAAI;AAC5B,QAAM,SAAS,QAAQ,qBAAqB,KAAK;AACjD,QAAM,WAAW,QAAQ,uBAAuB,KAAK;AACrD,QAAM,cAAc,SAAS,OAAO,CAAC,KAAK,MAAM,MAAM,EAAE,QAAQ,CAAC;AACjE,QAAM,cAAc,SAAS,OAAO,CAAC,KAAK,MAAM,MAAM,EAAE,OAAO,CAAC;AAChE,SAAO;AAAA,IACL,aAAa;AAAA,IACb,cAAc;AAAA,IACd,SAAS;AAAA,IACT,WAAW;AAAA,IACX,cAAc;AAAA,IACd,cAAc;AAAA,EAChB;AACF;AAEO,SAAS,cAAc,IAAQ,OAAO,GAAe;AAC1D,QAAM,QAAQ,cAAc,IAAI,IAAI;AACpC,QAAM,OAAO,MAAM,eAAe;AAClC,QAAM,QAAQ,QAAQ,OAAO,sBAAsB,QAAQ,CAAC,CAAC;AAC7D,QAAM,SAAS,QAAQ,OAAO,uBAAuB,QAAQ,CAAC,CAAC;AAC/D,QAAM,OAAO,QAAQ,OAAO,qBAAqB,QAAQ,CAAC,CAAC;AAC3D,SAAO;AAAA,IACL,aAAa;AAAA,IACb,cAAc,MAAM;AAAA,IACpB,0BAA0B;AAAA,IAC1B,2BAA2B;AAAA,IAC3B,yBAAyB;AAAA,IACzB,wBAAwB;AAAA,IACxB,wBAAwB;AAAA,IACxB,WAAW,MAAM;AAAA,IACjB,YACE;AAAA,EACJ;AACF;AAEO,SAAS,uBACd,IACA,WACA,aACc;AACd,QAAM,MAAM,IAAI,cAAc,EAAE;AAChC,SAAO,IAAI,YAAY,WAAW,WAAW;AAC/C;","names":[]}

dist/chunk-DK5JDNWQ.js

+#!/usr/bin/env node
+import {
+  buildQueries
+} from "./chunk-OIZX7KF2.js";
+
+// src/services/budget-manager.ts
+var MAX_TOKENS = 1e7;
+var BudgetManager = class {
+  queries;
+  constructor(db) {
+    this.queries = buildQueries(db);
+  }
+  setBudget(input) {
+    if (!Number.isInteger(input.limit_tokens)) {
+      throw new Error("limit_tokens debe ser un entero");
+    }
+    if (input.limit_tokens <= 0) {
+      throw new Error("limit_tokens debe ser mayor que 0");
+    }
+    if (input.limit_tokens > MAX_TOKENS) {
+      throw new Error(`limit_tokens no puede exceder ${MAX_TOKENS}`);
+    }
+    if (input.scope !== "session" && input.scope !== "project") {
+      throw new Error(`scope invalido: ${String(input.scope)}`);
+    }
+    const mode = "warn";
+    this.queries.upsertBudget(input.scope, input.scope_key, input.limit_tokens, mode);
+    const budget = this.queries.getBudgetByScope(input.scope, input.scope_key);
+    if (!budget) {
+      throw new Error("no se pudo leer el budget recien creado");
+    }
+    return budget;
+  }
+  /**
+   * Resolve the active budget for a given session + project.
+   * Returns the session-scoped budget if present, else the project-scoped one, else null.
+   */
+  getActiveBudget(sessionId, projectHash) {
+    const sessionBudget = this.queries.getBudgetByScope("session", sessionId);
+    if (sessionBudget) return sessionBudget;
+    if (projectHash) {
+      const projectBudget = this.queries.getBudgetByScope("project", projectHash);
+      if (projectBudget) return projectBudget;
+    }
+    return null;
+  }
+  /** Compute spent tokens against a budget from tool_calls since the budget creation timestamp. */
+  computeSpent(budget) {
+    if (budget.scope === "session") {
+      return this.queries.sumTokensBySessionSince(budget.scope_key, budget.created_at);
+    }
+    return this.queries.sumTokensByProjectSince(budget.scope_key, budget.created_at);
+  }
+  checkBudget(sessionId, projectHash) {
+    const active = this.getActiveBudget(sessionId, projectHash);
+    if (!active) {
+      return { active: false, spent: 0, remaining: 0, percent_used: 0, mode: null };
+    }
+    const spent = this.computeSpent(active);
+    const remaining = Math.max(0, active.limit_tokens - spent);
+    const percent = active.limit_tokens > 0 ? spent / active.limit_tokens : 0;
+    return {
+      active: true,
+      spent,
+      remaining,
+      percent_used: percent,
+      mode: active.mode
+    };
+  }
+  clearBudget(scope, scopeKey) {
+    return this.queries.deleteBudgetByScope(scope, scopeKey) > 0;
+  }
+  getBudgetReport(since) {
+    return {
+      by_tool: this.queries.countToolCallsByTool(since),
+      by_source: this.queries.countToolCallsBySource(since),
+      period_since: since
+    };
+  }
+  recordBudgetEvent(budgetId, eventType, tokens) {
+    this.queries.insertBudgetEvent(budgetId, eventType, tokens);
+  }
+};
+
+export {
+  BudgetManager
+};
+//# sourceMappingURL=chunk-DK5JDNWQ.js.map

dist/chunk-DK5JDNWQ.js.map

+{"version":3,"sources":["../src/services/budget-manager.ts"],"sourcesContent":["// Budget manager — Phase 2.1 + 2.3\n// Precedence: session > project. Spent tokens computed from tool_calls since budget.created_at.\n\nimport type Database from 'better-sqlite3'\nimport type {\n  Budget,\n  BudgetScope,\n  BudgetMode,\n  BudgetStatus,\n} from '../lib/types.js'\nimport { buildQueries, type Queries, type ToolCountRow, type SourceCountRow } from '../db/queries.js'\n\ntype DB = Database.Database\n\nexport interface SetBudgetInput {\n  scope: BudgetScope\n  scope_key: string\n  limit_tokens: number\n  mode?: BudgetMode\n}\n\nexport interface BudgetReport {\n  by_tool: ToolCountRow[]\n  by_source: SourceCountRow[]\n  period_since: string\n}\n\nconst MAX_TOKENS = 1e7\n\nexport class BudgetManager {\n  private queries: Queries\n\n  constructor(db: DB) {\n    this.queries = buildQueries(db)\n  }\n\n  setBudget(input: SetBudgetInput): Budget {\n    if (!Number.isInteger(input.limit_tokens)) {\n      throw new Error('limit_tokens debe ser un entero')\n    }\n    if (input.limit_tokens <= 0) {\n      throw new Error('limit_tokens debe ser mayor que 0')\n    }\n    if (input.limit_tokens > MAX_TOKENS) {\n      throw new Error(`limit_tokens no puede exceder ${MAX_TOKENS}`)\n    }\n    if (input.scope !== 'session' && input.scope !== 'project') {\n      throw new Error(`scope invalido: ${String(input.scope)}`)\n    }\n    const mode: BudgetMode = 'warn'\n    this.queries.upsertBudget(input.scope, input.scope_key, input.limit_tokens, mode)\n    const budget = this.queries.getBudgetByScope(input.scope, input.scope_key)\n    if (!budget) {\n      throw new Error('no se pudo leer el budget recien creado')\n    }\n    return budget\n  }\n\n  /**\n   * Resolve the active budget for a given session + project.\n   * Returns the session-scoped budget if present, else the project-scoped one, else null.\n   */\n  getActiveBudget(sessionId: string, projectHash: string | null): Budget | null {\n    const sessionBudget = this.queries.getBudgetByScope('session', sessionId)\n    if (sessionBudget) return sessionBudget\n    if (projectHash) {\n      const projectBudget = this.queries.getBudgetByScope('project', projectHash)\n      if (projectBudget) return projectBudget\n    }\n    return null\n  }\n\n  /** Compute spent tokens against a budget from tool_calls since the budget creation timestamp. */\n  computeSpent(budget: Budget): number {\n    if (budget.scope === 'session') {\n      return this.queries.sumTokensBySessionSince(budget.scope_key, budget.created_at)\n    }\n    return this.queries.sumTokensByProjectSince(budget.scope_key, budget.created_at)\n  }\n\n  checkBudget(sessionId: string, projectHash: string | null): BudgetStatus {\n    const active = this.getActiveBudget(sessionId, projectHash)\n    if (!active) {\n      return { active: false, spent: 0, remaining: 0, percent_used: 0, mode: null }\n    }\n    const spent = this.computeSpent(active)\n    const remaining = Math.max(0, active.limit_tokens - spent)\n    const percent = active.limit_tokens > 0 ? spent / active.limit_tokens : 0\n    return {\n      active: true,\n      spent,\n      remaining,\n      percent_used: percent,\n      mode: active.mode,\n    }\n  }\n\n  clearBudget(scope: BudgetScope, scopeKey: string): boolean {\n    return this.queries.deleteBudgetByScope(scope, scopeKey) > 0\n  }\n\n  getBudgetReport(since: string): BudgetReport {\n    return {\n      by_tool: this.queries.countToolCallsByTool(since),\n      by_source: this.queries.countToolCallsBySource(since),\n      period_since: since,\n    }\n  }\n\n  recordBudgetEvent(\n    budgetId: number,\n    eventType: 'spend' | 'warn' | 'block' | 'reset',\n    tokens: number | null,\n  ): void {\n    this.queries.insertBudgetEvent(budgetId, eventType, tokens)\n  }\n}\n"],"mappings":";;;;;;AA2BA,IAAM,aAAa;AAEZ,IAAM,gBAAN,MAAoB;AAAA,EACjB;AAAA,EAER,YAAY,IAAQ;AAClB,SAAK,UAAU,aAAa,EAAE;AAAA,EAChC;AAAA,EAEA,UAAU,OAA+B;AACvC,QAAI,CAAC,OAAO,UAAU,MAAM,YAAY,GAAG;AACzC,YAAM,IAAI,MAAM,iCAAiC;AAAA,IACnD;AACA,QAAI,MAAM,gBAAgB,GAAG;AAC3B,YAAM,IAAI,MAAM,mCAAmC;AAAA,IACrD;AACA,QAAI,MAAM,eAAe,YAAY;AACnC,YAAM,IAAI,MAAM,iCAAiC,UAAU,EAAE;AAAA,IAC/D;AACA,QAAI,MAAM,UAAU,aAAa,MAAM,UAAU,WAAW;AAC1D,YAAM,IAAI,MAAM,mBAAmB,OAAO,MAAM,KAAK,CAAC,EAAE;AAAA,IAC1D;AACA,UAAM,OAAmB;AACzB,SAAK,QAAQ,aAAa,MAAM,OAAO,MAAM,WAAW,MAAM,cAAc,IAAI;AAChF,UAAM,SAAS,KAAK,QAAQ,iBAAiB,MAAM,OAAO,MAAM,SAAS;AACzE,QAAI,CAAC,QAAQ;AACX,YAAM,IAAI,MAAM,yCAAyC;AAAA,IAC3D;AACA,WAAO;AAAA,EACT;AAAA;AAAA;AAAA;AAAA;AAAA,EAMA,gBAAgB,WAAmB,aAA2C;AAC5E,UAAM,gBAAgB,KAAK,QAAQ,iBAAiB,WAAW,SAAS;AACxE,QAAI,cAAe,QAAO;AAC1B,QAAI,aAAa;AACf,YAAM,gBAAgB,KAAK,QAAQ,iBAAiB,WAAW,WAAW;AAC1E,UAAI,cAAe,QAAO;AAAA,IAC5B;AACA,WAAO;AAAA,EACT;AAAA;AAAA,EAGA,aAAa,QAAwB;AACnC,QAAI,OAAO,UAAU,WAAW;AAC9B,aAAO,KAAK,QAAQ,wBAAwB,OAAO,WAAW,OAAO,UAAU;AAAA,IACjF;AACA,WAAO,KAAK,QAAQ,wBAAwB,OAAO,WAAW,OAAO,UAAU;AAAA,EACjF;AAAA,EAEA,YAAY,WAAmB,aAA0C;AACvE,UAAM,SAAS,KAAK,gBAAgB,WAAW,WAAW;AAC1D,QAAI,CAAC,QAAQ;AACX,aAAO,EAAE,QAAQ,OAAO,OAAO,GAAG,WAAW,GAAG,cAAc,GAAG,MAAM,KAAK;AAAA,IAC9E;AACA,UAAM,QAAQ,KAAK,aAAa,MAAM;AACtC,UAAM,YAAY,KAAK,IAAI,GAAG,OAAO,eAAe,KAAK;AACzD,UAAM,UAAU,OAAO,eAAe,IAAI,QAAQ,OAAO,eAAe;AACxE,WAAO;AAAA,MACL,QAAQ;AAAA,MACR;AAAA,MACA;AAAA,MACA,cAAc;AAAA,MACd,MAAM,OAAO;AAAA,IACf;AAAA,EACF;AAAA,EAEA,YAAY,OAAoB,UAA2B;AACzD,WAAO,KAAK,QAAQ,oBAAoB,OAAO,QAAQ,IAAI;AAAA,EAC7D;AAAA,EAEA,gBAAgB,OAA6B;AAC3C,WAAO;AAAA,MACL,SAAS,KAAK,QAAQ,qBAAqB,KAAK;AAAA,MAChD,WAAW,KAAK,QAAQ,uBAAuB,KAAK;AAAA,MACpD,cAAc;AAAA,IAChB;AAAA,EACF;AAAA,EAEA,kBACE,UACA,WACA,QACM;AACN,SAAK,QAAQ,kBAAkB,UAAU,WAAW,MAAM;AAAA,EAC5D;AACF;","names":[]}

dist/chunk-OIZX7KF2.js

+#!/usr/bin/env node
+
+// src/db/queries.ts
+function buildQueries(db) {
+  const insertSession = db.prepare(
+    `INSERT OR IGNORE INTO sessions (id, project_hash) VALUES (?, ?)`
+  );
+  const insertToolCall = db.prepare(
+    `INSERT INTO tool_calls (
+      session_id, tool_name, source, output_bytes,
+      tokens_estimated, tokens_actual, duration_ms, estimation_method,
+      shadow_delta_tokens, command_preview, created_at
+    ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)`
+  );
+  const getToolCallsSince = db.prepare(
+    `SELECT * FROM tool_calls WHERE created_at >= ? ORDER BY created_at DESC`
+  );
+  const countToolCallsByTool = db.prepare(
+    `SELECT tool_name, COUNT(*) as count, COALESCE(SUM(tokens_estimated), 0) as tokens
+     FROM tool_calls WHERE created_at >= ?
+     GROUP BY tool_name ORDER BY tokens DESC`
+  );
+  const countToolCallsBySource = db.prepare(
+    `SELECT source, COUNT(*) as count, COALESCE(SUM(tokens_estimated), 0) as tokens
+     FROM tool_calls WHERE created_at >= ?
+     GROUP BY source ORDER BY tokens DESC`
+  );
+  const sumTokensBySession = db.prepare(
+    `SELECT COALESCE(SUM(tokens_estimated), 0) as total
+     FROM tool_calls WHERE session_id = ?`
+  );
+  const countToolCallsBySessionStmt = db.prepare(
+    `SELECT COUNT(*) as c FROM tool_calls WHERE session_id = ?`
+  );
+  const sumTokensBySessionSince = db.prepare(
+    `SELECT COALESCE(SUM(tokens_estimated), 0) as total
+     FROM tool_calls WHERE session_id = ? AND created_at >= ?`
+  );
+  const sumTokensByProjectSince = db.prepare(
+    `SELECT COALESCE(SUM(tc.tokens_estimated), 0) as total
+     FROM tool_calls tc
+     JOIN sessions s ON tc.session_id = s.id
+     WHERE s.project_hash = ? AND tc.created_at >= ?`
+  );
+  const insertToolCallMany = db.transaction((events) => {
+    for (const e of events) {
+      insertToolCall.run(
+        e.session_id,
+        e.tool_name,
+        e.source,
+        e.output_bytes,
+        e.tokens_estimated,
+        e.tokens_actual,
+        e.duration_ms,
+        e.estimation_method,
+        e.shadow_delta_tokens ?? null,
+        e.created_at
+      );
+    }
+  });
+  const insertSerenaTouch = db.prepare(
+    `INSERT INTO serena_symbol_touches (session_id, tool_name, relative_path, name_path)
+     VALUES (?, ?, ?, ?)`
+  );
+  const getRecentSerenaSymbols = db.prepare(
+    `SELECT tool_name, relative_path, name_path, created_at
+     FROM serena_symbol_touches
+     WHERE session_id = ?
+     ORDER BY created_at DESC LIMIT ?`
+  );
+  const insertRtkRewrite = db.prepare(
+    `INSERT INTO rtk_rewrites (session_id, command_hash, rewritten_to) VALUES (?, ?, ?)`
+  );
+  const findRtkMark = db.prepare(
+    `SELECT id, rewritten_to FROM rtk_rewrites
+     WHERE session_id = ? AND command_hash = ?
+       AND created_at >= datetime('now', '-60 seconds')
+     ORDER BY id DESC LIMIT 1`
+  );
+  const deleteRtkMarkById = db.prepare(`DELETE FROM rtk_rewrites WHERE id = ?`);
+  const purgeStaleRtkMarks = db.prepare(
+    `DELETE FROM rtk_rewrites WHERE created_at < datetime('now', '-60 seconds')`
+  );
+  const upsertMetaCounter = db.prepare(
+    `INSERT INTO meta (key, value) VALUES (?, '1')
+     ON CONFLICT(key) DO UPDATE SET value = CAST(value AS INTEGER) + 1`
+  );
+  const getMeta = db.prepare(`SELECT value FROM meta WHERE key = ?`);
+  const upsertBudget = db.prepare(
+    `INSERT INTO budgets (scope, scope_key, limit_tokens, mode)
+     VALUES (?, ?, ?, ?)
+     ON CONFLICT(scope, scope_key) DO UPDATE SET
+       limit_tokens = excluded.limit_tokens,
+       mode = excluded.mode`
+  );
+  const selectBudgetByScope = db.prepare(
+    `SELECT id, scope, scope_key, limit_tokens, spent_tokens, mode, created_at
+     FROM budgets WHERE scope = ? AND scope_key = ?`
+  );
+  const deleteBudgetByScope = db.prepare(
+    `DELETE FROM budgets WHERE scope = ? AND scope_key = ?`
+  );
+  const listBudgets = db.prepare(
+    `SELECT id, scope, scope_key, limit_tokens, spent_tokens, mode, created_at
+     FROM budgets ORDER BY created_at DESC`
+  );
+  const insertBudgetEvent = db.prepare(
+    `INSERT INTO budget_events (budget_id, event_type, tokens) VALUES (?, ?, ?)`
+  );
+  return {
+    // sessions
+    insertSession(id, projectHash) {
+      insertSession.run(id, projectHash);
+    },
+    // tool_calls
+    insertToolCall(event) {
+      insertToolCall.run(
+        event.session_id,
+        event.tool_name,
+        event.source,
+        event.output_bytes,
+        event.tokens_estimated,
+        event.tokens_actual,
+        event.duration_ms,
+        event.estimation_method,
+        event.shadow_delta_tokens ?? null,
+        event.command_preview ?? null,
+        event.created_at
+      );
+    },
+    insertToolCallMany(events) {
+      insertToolCallMany(events);
+    },
+    getToolCallsSince(timestamp) {
+      return getToolCallsSince.all(timestamp);
+    },
+    countToolCallsByTool(since) {
+      return countToolCallsByTool.all(since);
+    },
+    countToolCallsBySource(since) {
+      return countToolCallsBySource.all(since);
+    },
+    sumTokensBySession(sessionId) {
+      const row = sumTokensBySession.get(sessionId);
+      return row?.total ?? 0;
+    },
+    countToolCallsBySession(sessionId) {
+      const row = countToolCallsBySessionStmt.get(sessionId);
+      return row?.c ?? 0;
+    },
+    sumTokensBySessionSince(sessionId, since) {
+      const row = sumTokensBySessionSince.get(sessionId, since);
+      return row?.total ?? 0;
+    },
+    sumTokensByProjectSince(projectHash, since) {
+      const row = sumTokensByProjectSince.get(projectHash, since);
+      return row?.total ?? 0;
+    },
+    // meta
+    upsertMetaCounter(key) {
+      upsertMetaCounter.run(key);
+    },
+    getMeta(key) {
+      const row = getMeta.get(key);
+      return row?.value ?? null;
+    },
+    // budgets
+    upsertBudget(scope, scopeKey, limitTokens, mode) {
+      upsertBudget.run(scope, scopeKey, limitTokens, mode);
+    },
+    getBudgetByScope(scope, scopeKey) {
+      const row = selectBudgetByScope.get(scope, scopeKey);
+      return row ?? null;
+    },
+    deleteBudgetByScope(scope, scopeKey) {
+      const info = deleteBudgetByScope.run(scope, scopeKey);
+      return info.changes;
+    },
+    listBudgets() {
+      return listBudgets.all();
+    },
+    insertBudgetEvent(budgetId, eventType, tokens) {
+      insertBudgetEvent.run(budgetId, eventType, tokens);
+    },
+    // rtk rewrites
+    insertRtkRewrite(sessionId, commandHash, rewrittenTo) {
+      insertRtkRewrite.run(sessionId, commandHash, rewrittenTo);
+    },
+    /**
+     * Look up and consume an RTK rewrite mark. Returns the rewritten command if
+     * there was a mark for this (session, hash) within the last 60 s, or null.
+     * The row is deleted on match so it cannot be double-consumed.
+     */
+    consumeRtkRewrite(sessionId, commandHash) {
+      const row = findRtkMark.get(sessionId, commandHash);
+      if (!row) return null;
+      deleteRtkMarkById.run(row.id);
+      return row.rewritten_to;
+    },
+    purgeStaleRtkMarks() {
+      const info = purgeStaleRtkMarks.run();
+      return info.changes;
+    },
+    // serena symbol touches
+    insertSerenaTouch(sessionId, toolName, relativePath, namePath) {
+      insertSerenaTouch.run(sessionId, toolName, relativePath, namePath);
+    },
+    getRecentSerenaSymbols(sessionId, limit) {
+      return getRecentSerenaSymbols.all(sessionId, limit);
+    }
+  };
+}
+
+export {
+  buildQueries
+};
+//# sourceMappingURL=chunk-OIZX7KF2.js.map

dist/chunk-OIZX7KF2.js.map

+{"version":3,"sources":["../src/db/queries.ts"],"sourcesContent":["// Prepared statement factory — Phase 1.7 + 2.2\r\n\r\nimport type Database from 'better-sqlite3'\r\nimport type { ToolEvent, Budget, BudgetScope, BudgetMode } from '../lib/types.js'\r\n\r\ntype DB = Database.Database\r\n\r\nexport interface ToolCountRow {\r\n  tool_name: string\r\n  count: number\r\n  tokens: number\r\n}\r\n\r\nexport interface SourceCountRow {\r\n  source: string\r\n  count: number\r\n  tokens: number\r\n}\r\n\r\nexport function buildQueries(db: DB) {\r\n  // ── sessions ──\r\n  const insertSession = db.prepare(\r\n    `INSERT OR IGNORE INTO sessions (id, project_hash) VALUES (?, ?)`,\r\n  )\r\n\r\n  // ── tool_calls ──\r\n  const insertToolCall = db.prepare(\r\n    `INSERT INTO tool_calls (\r\n      session_id, tool_name, source, output_bytes,\r\n      tokens_estimated, tokens_actual, duration_ms, estimation_method,\r\n      shadow_delta_tokens, command_preview, created_at\r\n    ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)`,\r\n  )\r\n\r\n  const getToolCallsSince = db.prepare(\r\n    `SELECT * FROM tool_calls WHERE created_at >= ? ORDER BY created_at DESC`,\r\n  )\r\n\r\n  const countToolCallsByTool = db.prepare(\r\n    `SELECT tool_name, COUNT(*) as count, COALESCE(SUM(tokens_estimated), 0) as tokens\r\n     FROM tool_calls WHERE created_at >= ?\r\n     GROUP BY tool_name ORDER BY tokens DESC`,\r\n  )\r\n\r\n  const countToolCallsBySource = db.prepare(\r\n    `SELECT source, COUNT(*) as count, COALESCE(SUM(tokens_estimated), 0) as tokens\r\n     FROM tool_calls WHERE created_at >= ?\r\n     GROUP BY source ORDER BY tokens DESC`,\r\n  )\r\n\r\n  const sumTokensBySession = db.prepare(\r\n    `SELECT COALESCE(SUM(tokens_estimated), 0) as total\r\n     FROM tool_calls WHERE session_id = ?`,\r\n  )\r\n\r\n  const countToolCallsBySessionStmt = db.prepare(\r\n    `SELECT COUNT(*) as c FROM tool_calls WHERE session_id = ?`,\r\n  )\r\n\r\n  const sumTokensBySessionSince = db.prepare(\r\n    `SELECT COALESCE(SUM(tokens_estimated), 0) as total\r\n     FROM tool_calls WHERE session_id = ? AND created_at >= ?`,\r\n  )\r\n\r\n  const sumTokensByProjectSince = db.prepare(\r\n    `SELECT COALESCE(SUM(tc.tokens_estimated), 0) as total\r\n     FROM tool_calls tc\r\n     JOIN sessions s ON tc.session_id = s.id\r\n     WHERE s.project_hash = ? AND tc.created_at >= ?`,\r\n  )\r\n\r\n  const insertToolCallMany = db.transaction((events: readonly ToolEvent[]) => {\r\n    for (const e of events) {\r\n      insertToolCall.run(\r\n        e.session_id,\r\n        e.tool_name,\r\n        e.source,\r\n        e.output_bytes,\r\n        e.tokens_estimated,\r\n        e.tokens_actual,\r\n        e.duration_ms,\r\n        e.estimation_method,\r\n        e.shadow_delta_tokens ?? null,\r\n        e.created_at,\r\n      )\r\n    }\r\n  })\r\n\r\n  // ── serena_symbol_touches ──\r\n  const insertSerenaTouch = db.prepare(\r\n    `INSERT INTO serena_symbol_touches (session_id, tool_name, relative_path, name_path)\r\n     VALUES (?, ?, ?, ?)`,\r\n  )\r\n\r\n  const getRecentSerenaSymbols = db.prepare(\r\n    `SELECT tool_name, relative_path, name_path, created_at\r\n     FROM serena_symbol_touches\r\n     WHERE session_id = ?\r\n     ORDER BY created_at DESC LIMIT ?`,\r\n  )\r\n\r\n  // ── meta ──\r\n  // ── rtk_rewrites ──\r\n  const insertRtkRewrite = db.prepare(\r\n    `INSERT INTO rtk_rewrites (session_id, command_hash, rewritten_to) VALUES (?, ?, ?)`,\r\n  )\r\n  // Consume (look up AND delete) the most recent matching mark. If the PostToolUse\r\n  // hook finds a mark for this (session, command_hash), the call was rewritten by\r\n  // rtk in PreToolUse and must be reclassified as source=rtk. We bound the lookup\r\n  // to 60 s so stale marks never poison future events.\r\n  const findRtkMark = db.prepare(\r\n    `SELECT id, rewritten_to FROM rtk_rewrites\r\n     WHERE session_id = ? AND command_hash = ?\r\n       AND created_at >= datetime('now', '-60 seconds')\r\n     ORDER BY id DESC LIMIT 1`,\r\n  )\r\n  const deleteRtkMarkById = db.prepare(`DELETE FROM rtk_rewrites WHERE id = ?`)\r\n  const purgeStaleRtkMarks = db.prepare(\r\n    `DELETE FROM rtk_rewrites WHERE created_at < datetime('now', '-60 seconds')`,\r\n  )\r\n\r\n  const upsertMetaCounter = db.prepare(\r\n    `INSERT INTO meta (key, value) VALUES (?, '1')\r\n     ON CONFLICT(key) DO UPDATE SET value = CAST(value AS INTEGER) + 1`,\r\n  )\r\n\r\n  const getMeta = db.prepare(`SELECT value FROM meta WHERE key = ?`)\r\n\r\n  // ── budgets ──\r\n  const upsertBudget = db.prepare(\r\n    `INSERT INTO budgets (scope, scope_key, limit_tokens, mode)\r\n     VALUES (?, ?, ?, ?)\r\n     ON CONFLICT(scope, scope_key) DO UPDATE SET\r\n       limit_tokens = excluded.limit_tokens,\r\n       mode = excluded.mode`,\r\n  )\r\n\r\n  const selectBudgetByScope = db.prepare(\r\n    `SELECT id, scope, scope_key, limit_tokens, spent_tokens, mode, created_at\r\n     FROM budgets WHERE scope = ? AND scope_key = ?`,\r\n  )\r\n\r\n  const deleteBudgetByScope = db.prepare(\r\n    `DELETE FROM budgets WHERE scope = ? AND scope_key = ?`,\r\n  )\r\n\r\n  const listBudgets = db.prepare(\r\n    `SELECT id, scope, scope_key, limit_tokens, spent_tokens, mode, created_at\r\n     FROM budgets ORDER BY created_at DESC`,\r\n  )\r\n\r\n  const insertBudgetEvent = db.prepare(\r\n    `INSERT INTO budget_events (budget_id, event_type, tokens) VALUES (?, ?, ?)`,\r\n  )\r\n\r\n  return {\r\n    // sessions\r\n    insertSession(id: string, projectHash: string | null) {\r\n      insertSession.run(id, projectHash)\r\n    },\r\n\r\n    // tool_calls\r\n    insertToolCall(event: ToolEvent) {\r\n      insertToolCall.run(\r\n        event.session_id,\r\n        event.tool_name,\r\n        event.source,\r\n        event.output_bytes,\r\n        event.tokens_estimated,\r\n        event.tokens_actual,\r\n        event.duration_ms,\r\n        event.estimation_method,\r\n        event.shadow_delta_tokens ?? null,\r\n        event.command_preview ?? null,\r\n        event.created_at,\r\n      )\r\n    },\r\n    insertToolCallMany(events: readonly ToolEvent[]) {\r\n      insertToolCallMany(events)\r\n    },\r\n    getToolCallsSince(timestamp: string) {\r\n      return getToolCallsSince.all(timestamp)\r\n    },\r\n    countToolCallsByTool(since: string): ToolCountRow[] {\r\n      return countToolCallsByTool.all(since) as ToolCountRow[]\r\n    },\r\n    countToolCallsBySource(since: string): SourceCountRow[] {\r\n      return countToolCallsBySource.all(since) as SourceCountRow[]\r\n    },\r\n    sumTokensBySession(sessionId: string): number {\r\n      const row = sumTokensBySession.get(sessionId) as { total: number } | undefined\r\n      return row?.total ?? 0\r\n    },\r\n    countToolCallsBySession(sessionId: string): number {\r\n      const row = countToolCallsBySessionStmt.get(sessionId) as { c: number } | undefined\r\n      return row?.c ?? 0\r\n    },\r\n    sumTokensBySessionSince(sessionId: string, since: string): number {\r\n      const row = sumTokensBySessionSince.get(sessionId, since) as { total: number } | undefined\r\n      return row?.total ?? 0\r\n    },\r\n    sumTokensByProjectSince(projectHash: string, since: string): number {\r\n      const row = sumTokensByProjectSince.get(projectHash, since) as { total: number } | undefined\r\n      return row?.total ?? 0\r\n    },\r\n\r\n    // meta\r\n    upsertMetaCounter(key: string) {\r\n      upsertMetaCounter.run(key)\r\n    },\r\n    getMeta(key: string): string | null {\r\n      const row = getMeta.get(key) as { value: string } | undefined\r\n      return row?.value ?? null\r\n    },\r\n\r\n    // budgets\r\n    upsertBudget(scope: BudgetScope, scopeKey: string, limitTokens: number, mode: BudgetMode) {\r\n      upsertBudget.run(scope, scopeKey, limitTokens, mode)\r\n    },\r\n    getBudgetByScope(scope: BudgetScope, scopeKey: string): Budget | null {\r\n      const row = selectBudgetByScope.get(scope, scopeKey) as Budget | undefined\r\n      return row ?? null\r\n    },\r\n    deleteBudgetByScope(scope: BudgetScope, scopeKey: string): number {\r\n      const info = deleteBudgetByScope.run(scope, scopeKey)\r\n      return info.changes as number\r\n    },\r\n    listBudgets(): Budget[] {\r\n      return listBudgets.all() as Budget[]\r\n    },\r\n    insertBudgetEvent(budgetId: number, eventType: string, tokens: number | null) {\r\n      insertBudgetEvent.run(budgetId, eventType, tokens)\r\n    },\r\n\r\n    // rtk rewrites\r\n    insertRtkRewrite(sessionId: string, commandHash: string, rewrittenTo: string) {\r\n      insertRtkRewrite.run(sessionId, commandHash, rewrittenTo)\r\n    },\r\n    /**\r\n     * Look up and consume an RTK rewrite mark. Returns the rewritten command if\r\n     * there was a mark for this (session, hash) within the last 60 s, or null.\r\n     * The row is deleted on match so it cannot be double-consumed.\r\n     */\r\n    consumeRtkRewrite(sessionId: string, commandHash: string): string | null {\r\n      const row = findRtkMark.get(sessionId, commandHash) as\r\n        | { id: number; rewritten_to: string }\r\n        | undefined\r\n      if (!row) return null\r\n      deleteRtkMarkById.run(row.id)\r\n      return row.rewritten_to\r\n    },\r\n    purgeStaleRtkMarks(): number {\r\n      const info = purgeStaleRtkMarks.run()\r\n      return info.changes as number\r\n    },\r\n\r\n    // serena symbol touches\r\n    insertSerenaTouch(\r\n      sessionId: string,\r\n      toolName: string,\r\n      relativePath: string,\r\n      namePath: string | null,\r\n    ) {\r\n      insertSerenaTouch.run(sessionId, toolName, relativePath, namePath)\r\n    },\r\n    getRecentSerenaSymbols(\r\n      sessionId: string,\r\n      limit: number,\r\n    ): { tool_name: string; relative_path: string; name_path: string | null; created_at: string }[] {\r\n      return getRecentSerenaSymbols.all(sessionId, limit) as {\r\n        tool_name: string\r\n        relative_path: string\r\n        name_path: string | null\r\n        created_at: string\r\n      }[]\r\n    },\r\n  }\r\n}\r\n\r\nexport type Queries = ReturnType<typeof buildQueries>\r\n"],"mappings":";;;AAmBO,SAAS,aAAa,IAAQ;AAEnC,QAAM,gBAAgB,GAAG;AAAA,IACvB;AAAA,EACF;AAGA,QAAM,iBAAiB,GAAG;AAAA,IACxB;AAAA;AAAA;AAAA;AAAA;AAAA,EAKF;AAEA,QAAM,oBAAoB,GAAG;AAAA,IAC3B;AAAA,EACF;AAEA,QAAM,uBAAuB,GAAG;AAAA,IAC9B;AAAA;AAAA;AAAA,EAGF;AAEA,QAAM,yBAAyB,GAAG;AAAA,IAChC;AAAA;AAAA;AAAA,EAGF;AAEA,QAAM,qBAAqB,GAAG;AAAA,IAC5B;AAAA;AAAA,EAEF;AAEA,QAAM,8BAA8B,GAAG;AAAA,IACrC;AAAA,EACF;AAEA,QAAM,0BAA0B,GAAG;AAAA,IACjC;AAAA;AAAA,EAEF;AAEA,QAAM,0BAA0B,GAAG;AAAA,IACjC;AAAA;AAAA;AAAA;AAAA,EAIF;AAEA,QAAM,qBAAqB,GAAG,YAAY,CAAC,WAAiC;AAC1E,eAAW,KAAK,QAAQ;AACtB,qBAAe;AAAA,QACb,EAAE;AAAA,QACF,EAAE;AAAA,QACF,EAAE;AAAA,QACF,EAAE;AAAA,QACF,EAAE;AAAA,QACF,EAAE;AAAA,QACF,EAAE;AAAA,QACF,EAAE;AAAA,QACF,EAAE,uBAAuB;AAAA,QACzB,EAAE;AAAA,MACJ;AAAA,IACF;AAAA,EACF,CAAC;AAGD,QAAM,oBAAoB,GAAG;AAAA,IAC3B;AAAA;AAAA,EAEF;AAEA,QAAM,yBAAyB,GAAG;AAAA,IAChC;AAAA;AAAA;AAAA;AAAA,EAIF;AAIA,QAAM,mBAAmB,GAAG;AAAA,IAC1B;AAAA,EACF;AAKA,QAAM,cAAc,GAAG;AAAA,IACrB;AAAA;AAAA;AAAA;AAAA,EAIF;AACA,QAAM,oBAAoB,GAAG,QAAQ,uCAAuC;AAC5E,QAAM,qBAAqB,GAAG;AAAA,IAC5B;AAAA,EACF;AAEA,QAAM,oBAAoB,GAAG;AAAA,IAC3B;AAAA;AAAA,EAEF;AAEA,QAAM,UAAU,GAAG,QAAQ,sCAAsC;AAGjE,QAAM,eAAe,GAAG;AAAA,IACtB;AAAA;AAAA;AAAA;AAAA;AAAA,EAKF;AAEA,QAAM,sBAAsB,GAAG;AAAA,IAC7B;AAAA;AAAA,EAEF;AAEA,QAAM,sBAAsB,GAAG;AAAA,IAC7B;AAAA,EACF;AAEA,QAAM,cAAc,GAAG;AAAA,IACrB;AAAA;AAAA,EAEF;AAEA,QAAM,oBAAoB,GAAG;AAAA,IAC3B;AAAA,EACF;AAEA,SAAO;AAAA;AAAA,IAEL,cAAc,IAAY,aAA4B;AACpD,oBAAc,IAAI,IAAI,WAAW;AAAA,IACnC;AAAA;AAAA,IAGA,eAAe,OAAkB;AAC/B,qBAAe;AAAA,QACb,MAAM;AAAA,QACN,MAAM;AAAA,QACN,MAAM;AAAA,QACN,MAAM;AAAA,QACN,MAAM;AAAA,QACN,MAAM;AAAA,QACN,MAAM;AAAA,QACN,MAAM;AAAA,QACN,MAAM,uBAAuB;AAAA,QAC7B,MAAM,mBAAmB;AAAA,QACzB,MAAM;AAAA,MACR;AAAA,IACF;AAAA,IACA,mBAAmB,QAA8B;AAC/C,yBAAmB,MAAM;AAAA,IAC3B;AAAA,IACA,kBAAkB,WAAmB;AACnC,aAAO,kBAAkB,IAAI,SAAS;AAAA,IACxC;AAAA,IACA,qBAAqB,OAA+B;AAClD,aAAO,qBAAqB,IAAI,KAAK;AAAA,IACvC;AAAA,IACA,uBAAuB,OAAiC;AACtD,aAAO,uBAAuB,IAAI,KAAK;AAAA,IACzC;AAAA,IACA,mBAAmB,WAA2B;AAC5C,YAAM,MAAM,mBAAmB,IAAI,SAAS;AAC5C,aAAO,KAAK,SAAS;AAAA,IACvB;AAAA,IACA,wBAAwB,WAA2B;AACjD,YAAM,MAAM,4BAA4B,IAAI,SAAS;AACrD,aAAO,KAAK,KAAK;AAAA,IACnB;AAAA,IACA,wBAAwB,WAAmB,OAAuB;AAChE,YAAM,MAAM,wBAAwB,IAAI,WAAW,KAAK;AACxD,aAAO,KAAK,SAAS;AAAA,IACvB;AAAA,IACA,wBAAwB,aAAqB,OAAuB;AAClE,YAAM,MAAM,wBAAwB,IAAI,aAAa,KAAK;AAC1D,aAAO,KAAK,SAAS;AAAA,IACvB;AAAA;AAAA,IAGA,kBAAkB,KAAa;AAC7B,wBAAkB,IAAI,GAAG;AAAA,IAC3B;AAAA,IACA,QAAQ,KAA4B;AAClC,YAAM,MAAM,QAAQ,IAAI,GAAG;AAC3B,aAAO,KAAK,SAAS;AAAA,IACvB;AAAA;AAAA,IAGA,aAAa,OAAoB,UAAkB,aAAqB,MAAkB;AACxF,mBAAa,IAAI,OAAO,UAAU,aAAa,IAAI;AAAA,IACrD;AAAA,IACA,iBAAiB,OAAoB,UAAiC;AACpE,YAAM,MAAM,oBAAoB,IAAI,OAAO,QAAQ;AACnD,aAAO,OAAO;AAAA,IAChB;AAAA,IACA,oBAAoB,OAAoB,UAA0B;AAChE,YAAM,OAAO,oBAAoB,IAAI,OAAO,QAAQ;AACpD,aAAO,KAAK;AAAA,IACd;AAAA,IACA,cAAwB;AACtB,aAAO,YAAY,IAAI;AAAA,IACzB;AAAA,IACA,kBAAkB,UAAkB,WAAmB,QAAuB;AAC5E,wBAAkB,IAAI,UAAU,WAAW,MAAM;AAAA,IACnD;AAAA;AAAA,IAGA,iBAAiB,WAAmB,aAAqB,aAAqB;AAC5E,uBAAiB,IAAI,WAAW,aAAa,WAAW;AAAA,IAC1D;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,IAMA,kBAAkB,WAAmB,aAAoC;AACvE,YAAM,MAAM,YAAY,IAAI,WAAW,WAAW;AAGlD,UAAI,CAAC,IAAK,QAAO;AACjB,wBAAkB,IAAI,IAAI,EAAE;AAC5B,aAAO,IAAI;AAAA,IACb;AAAA,IACA,qBAA6B;AAC3B,YAAM,OAAO,mBAAmB,IAAI;AACpC,aAAO,KAAK;AAAA,IACd;AAAA;AAAA,IAGA,kBACE,WACA,UACA,cACA,UACA;AACA,wBAAkB,IAAI,WAAW,UAAU,cAAc,QAAQ;AAAA,IACnE;AAAA,IACA,uBACE,WACA,OAC8F;AAC9F,aAAO,uBAAuB,IAAI,WAAW,KAAK;AAAA,IAMpD;AAAA,EACF;AACF;","names":[]}

dist/chunk-TOEPQYR3.js

+#!/usr/bin/env node
+
+// src/db/connection.ts
+import Database from "better-sqlite3";
+import fs from "fs";
+import path from "path";
+
+// src/db/schema.ts
+var SCHEMA_SQL = `
+CREATE TABLE IF NOT EXISTS sessions (
+  id TEXT PRIMARY KEY,
+  project_hash TEXT,
+  started_at TEXT NOT NULL DEFAULT (datetime('now'))
+);
+
+CREATE TABLE IF NOT EXISTS tool_calls (
+  id INTEGER PRIMARY KEY AUTOINCREMENT,
+  session_id TEXT NOT NULL REFERENCES sessions(id) ON DELETE CASCADE,
+  tool_name TEXT NOT NULL,
+  source TEXT NOT NULL,
+  output_bytes INTEGER NOT NULL,
+  tokens_estimated INTEGER NOT NULL,
+  tokens_actual INTEGER,
+  duration_ms INTEGER,
+  estimation_method TEXT,
+  shadow_delta_tokens INTEGER,
+  command_preview TEXT,
+  created_at TEXT NOT NULL DEFAULT (datetime('now'))
+);
+
+CREATE INDEX IF NOT EXISTS idx_tool_calls_session ON tool_calls(session_id, created_at DESC);
+CREATE INDEX IF NOT EXISTS idx_tool_calls_tool ON tool_calls(tool_name);
+CREATE INDEX IF NOT EXISTS idx_tool_calls_source ON tool_calls(source);
+
+CREATE TABLE IF NOT EXISTS budgets (
+  id INTEGER PRIMARY KEY AUTOINCREMENT,
+  scope TEXT NOT NULL CHECK(scope IN ('session', 'project')),
+  scope_key TEXT NOT NULL,
+  limit_tokens INTEGER NOT NULL CHECK(limit_tokens > 0),
+  spent_tokens INTEGER NOT NULL DEFAULT 0,
+  mode TEXT NOT NULL CHECK(mode IN ('warn')),
+  created_at TEXT NOT NULL DEFAULT (datetime('now')),
+  UNIQUE(scope, scope_key)
+);
+
+CREATE TABLE IF NOT EXISTS budget_events (
+  id INTEGER PRIMARY KEY AUTOINCREMENT,
+  budget_id INTEGER NOT NULL REFERENCES budgets(id) ON DELETE CASCADE,
+  event_type TEXT NOT NULL CHECK(event_type IN ('spend', 'warn', 'reset')),
+  tokens INTEGER,
+  created_at TEXT NOT NULL DEFAULT (datetime('now'))
+);
+
+CREATE TABLE IF NOT EXISTS optimization_snapshots (
+  id INTEGER PRIMARY KEY AUTOINCREMENT,
+  method TEXT NOT NULL,
+  details TEXT,
+  created_at TEXT NOT NULL DEFAULT (datetime('now'))
+);
+
+CREATE TABLE IF NOT EXISTS coach_surface_log (
+  id INTEGER PRIMARY KEY AUTOINCREMENT,
+  session_id TEXT NOT NULL REFERENCES sessions(id) ON DELETE CASCADE,
+  rule_id TEXT NOT NULL,
+  tip_id TEXT NOT NULL,
+  surfaced_via TEXT NOT NULL,
+  severity TEXT NOT NULL,
+  created_at TEXT NOT NULL DEFAULT (datetime('now'))
+);
+
+CREATE INDEX IF NOT EXISTS idx_coach_surface_log_session
+  ON coach_surface_log(session_id, created_at DESC);
+
+CREATE TABLE IF NOT EXISTS meta (
+  key TEXT PRIMARY KEY,
+  value TEXT NOT NULL
+);
+
+-- Pending RTK rewrites. PreToolUse writes a row when it rewrites a Bash command
+-- via rtk rewrite; PostToolUse consumes it to reclassify the event as source=rtk.
+-- The PostToolUse hook only sees the ORIGINAL command (what Claude asked for),
+-- not the command Claude Code actually executed after PreToolUse mutation. This
+-- table bridges the gap so stats reflect the real RTK activity.
+CREATE TABLE IF NOT EXISTS rtk_rewrites (
+  id INTEGER PRIMARY KEY AUTOINCREMENT,
+  session_id TEXT NOT NULL,
+  command_hash TEXT NOT NULL,
+  rewritten_to TEXT NOT NULL,
+  created_at TEXT NOT NULL DEFAULT (datetime('now'))
+);
+
+CREATE INDEX IF NOT EXISTS idx_rtk_rewrites_lookup
+  ON rtk_rewrites(session_id, command_hash, created_at DESC);
+
+-- Serena symbol touches. PostToolUse writes a row for each Serena read tool call
+-- that includes a relative_path, so SessionStart:compact can re-inject relevant
+-- symbols when context is reset.
+CREATE TABLE IF NOT EXISTS serena_symbol_touches (
+  id INTEGER PRIMARY KEY AUTOINCREMENT,
+  session_id TEXT NOT NULL REFERENCES sessions(id) ON DELETE CASCADE,
+  tool_name TEXT NOT NULL,
+  relative_path TEXT NOT NULL,
+  name_path TEXT,
+  created_at TEXT NOT NULL DEFAULT (datetime('now'))
+);
+
+CREATE INDEX IF NOT EXISTS idx_serena_symbol_touches_session
+  ON serena_symbol_touches(session_id, created_at DESC);
+`;
+
+// src/db/connection.ts
+var dbInstance = null;
+var currentPath = null;
+function migrateLegacyToolCallsSchema(db) {
+  const cols = db.prepare(`PRAGMA table_info('tool_calls')`).all();
+  if (cols.length === 0) return;
+  const hasInputHash = cols.some((c) => c.name === "input_hash");
+  if (!hasInputHash) return;
+  db.exec(`
+    DROP TRIGGER IF EXISTS tool_calls_ai;
+    DROP TRIGGER IF EXISTS tool_calls_ad;
+    DROP TABLE IF EXISTS events_fts;
+  `);
+  const migrate = db.transaction(() => {
+    db.exec(`
+      CREATE TABLE tool_calls_new (
+        id INTEGER PRIMARY KEY AUTOINCREMENT,
+        session_id TEXT NOT NULL REFERENCES sessions(id) ON DELETE CASCADE,
+        tool_name TEXT NOT NULL,
+        source TEXT NOT NULL,
+        output_bytes INTEGER NOT NULL,
+        tokens_estimated INTEGER NOT NULL,
+        tokens_actual INTEGER,
+        duration_ms INTEGER,
+        estimation_method TEXT,
+        created_at TEXT NOT NULL DEFAULT (datetime('now'))
+      );
+      INSERT INTO tool_calls_new (
+        id, session_id, tool_name, source, output_bytes,
+        tokens_estimated, tokens_actual, duration_ms, estimation_method, created_at
+      )
+      SELECT id, session_id, tool_name, source, output_bytes,
+             tokens_estimated, tokens_actual, duration_ms, estimation_method, created_at
+      FROM tool_calls;
+      DROP TABLE tool_calls;
+      ALTER TABLE tool_calls_new RENAME TO tool_calls;
+      CREATE INDEX IF NOT EXISTS idx_tool_calls_session ON tool_calls(session_id, created_at DESC);
+      CREATE INDEX IF NOT EXISTS idx_tool_calls_tool ON tool_calls(tool_name);
+      CREATE INDEX IF NOT EXISTS idx_tool_calls_source ON tool_calls(source);
+    `);
+  });
+  migrate();
+}
+function migrateAddShadowDeltaTokens(db) {
+  const cols = db.prepare(`PRAGMA table_info('tool_calls')`).all();
+  if (cols.some((c) => c.name === "shadow_delta_tokens")) return;
+  db.exec(`ALTER TABLE tool_calls ADD COLUMN shadow_delta_tokens INTEGER`);
+}
+function migrateAddCommandPreview(db) {
+  const cols = db.prepare(`PRAGMA table_info('tool_calls')`).all();
+  if (cols.some((c) => c.name === "command_preview")) return;
+  db.exec(`ALTER TABLE tool_calls ADD COLUMN command_preview TEXT`);
+}
+function getDb(dbPath) {
+  const resolvedPath = dbPath ?? ":memory:";
+  if (dbInstance && currentPath === resolvedPath) {
+    return dbInstance;
+  }
+  if (dbInstance && currentPath !== resolvedPath) {
+    try {
+      dbInstance.close();
+    } catch {
+    }
+    dbInstance = null;
+  }
+  if (resolvedPath !== ":memory:") {
+    const dir = path.dirname(resolvedPath);
+    if (!fs.existsSync(dir)) {
+      fs.mkdirSync(dir, { recursive: true });
+    }
+  }
+  const db = new Database(resolvedPath);
+  db.pragma("journal_mode = WAL");
+  db.pragma("foreign_keys = ON");
+  db.exec(SCHEMA_SQL);
+  migrateLegacyToolCallsSchema(db);
+  migrateAddShadowDeltaTokens(db);
+  migrateAddCommandPreview(db);
+  dbInstance = db;
+  currentPath = resolvedPath;
+  return db;
+}
+
+export {
+  getDb
+};
+//# sourceMappingURL=chunk-TOEPQYR3.js.map

dist/chunk-TOEPQYR3.js.map

+{"version":3,"sources":["../src/db/connection.ts","../src/db/schema.ts"],"sourcesContent":["// getDb() singleton with WAL + FK — Phase 1.3\r\n\r\nimport Database from 'better-sqlite3'\r\nimport fs from 'node:fs'\r\nimport path from 'node:path'\r\nimport { SCHEMA_SQL } from './schema.js'\r\n\r\ntype DB = Database.Database\r\n\r\nlet dbInstance: DB | null = null\r\nlet currentPath: string | null = null\r\n\r\n/**\r\n * Migrate legacy tool_calls schema to the current simplified one.\r\n *\r\n * DBs created before Phase 1.2 had: input_hash TEXT NOT NULL, tool_input_summary TEXT, content TEXT,\r\n * plus FTS5 virtual table events_fts with AFTER INSERT/DELETE triggers referencing `content`.\r\n *\r\n * The current code no longer passes input_hash or content, so inserts on legacy DBs fail silently\r\n * with \"NOT NULL constraint failed: tool_calls.input_hash\" — data is lost, droppedEvents counter grows.\r\n *\r\n * This migration rebuilds tool_calls with the current schema, preserving historical rows.\r\n */\r\nfunction migrateLegacyToolCallsSchema(db: DB): void {\r\n  const cols = db.prepare(`PRAGMA table_info('tool_calls')`).all() as Array<{ name: string }>\r\n  if (cols.length === 0) return // table didn't exist yet, SCHEMA_SQL just created it clean\r\n  const hasInputHash = cols.some((c) => c.name === 'input_hash')\r\n  if (!hasInputHash) return // already migrated\r\n\r\n  // Drop FTS5 triggers that reference `content` before we touch the table\r\n  db.exec(`\r\n    DROP TRIGGER IF EXISTS tool_calls_ai;\r\n    DROP TRIGGER IF EXISTS tool_calls_ad;\r\n    DROP TABLE IF EXISTS events_fts;\r\n  `)\r\n\r\n  // Rebuild tool_calls with the new schema. Wrap in a transaction for atomicity.\r\n  const migrate = db.transaction(() => {\r\n    db.exec(`\r\n      CREATE TABLE tool_calls_new (\r\n        id INTEGER PRIMARY KEY AUTOINCREMENT,\r\n        session_id TEXT NOT NULL REFERENCES sessions(id) ON DELETE CASCADE,\r\n        tool_name TEXT NOT NULL,\r\n        source TEXT NOT NULL,\r\n        output_bytes INTEGER NOT NULL,\r\n        tokens_estimated INTEGER NOT NULL,\r\n        tokens_actual INTEGER,\r\n        duration_ms INTEGER,\r\n        estimation_method TEXT,\r\n        created_at TEXT NOT NULL DEFAULT (datetime('now'))\r\n      );\r\n      INSERT INTO tool_calls_new (\r\n        id, session_id, tool_name, source, output_bytes,\r\n        tokens_estimated, tokens_actual, duration_ms, estimation_method, created_at\r\n      )\r\n      SELECT id, session_id, tool_name, source, output_bytes,\r\n             tokens_estimated, tokens_actual, duration_ms, estimation_method, created_at\r\n      FROM tool_calls;\r\n      DROP TABLE tool_calls;\r\n      ALTER TABLE tool_calls_new RENAME TO tool_calls;\r\n      CREATE INDEX IF NOT EXISTS idx_tool_calls_session ON tool_calls(session_id, created_at DESC);\r\n      CREATE INDEX IF NOT EXISTS idx_tool_calls_tool ON tool_calls(tool_name);\r\n      CREATE INDEX IF NOT EXISTS idx_tool_calls_source ON tool_calls(source);\r\n    `)\r\n  })\r\n  migrate()\r\n}\r\n\r\n/** Add shadow_delta_tokens column to existing DBs that were created before Sprint C. */\r\nfunction migrateAddShadowDeltaTokens(db: DB): void {\r\n  const cols = db.prepare(`PRAGMA table_info('tool_calls')`).all() as Array<{ name: string }>\r\n  if (cols.some((c) => c.name === 'shadow_delta_tokens')) return // already present\r\n  db.exec(`ALTER TABLE tool_calls ADD COLUMN shadow_delta_tokens INTEGER`)\r\n}\r\n\r\nfunction migrateAddCommandPreview(db: DB): void {\r\n  const cols = db.prepare(`PRAGMA table_info('tool_calls')`).all() as Array<{ name: string }>\r\n  if (cols.some((c) => c.name === 'command_preview')) return // already present\r\n  db.exec(`ALTER TABLE tool_calls ADD COLUMN command_preview TEXT`)\r\n}\r\n\r\nexport function getDb(dbPath?: string): DB {\r\n  const resolvedPath = dbPath ?? ':memory:'\r\n  if (dbInstance && currentPath === resolvedPath) {\r\n    return dbInstance\r\n  }\r\n  if (dbInstance && currentPath !== resolvedPath) {\r\n    try {\r\n      dbInstance.close()\r\n    } catch {\r\n      // swallow\r\n    }\r\n    dbInstance = null\r\n  }\r\n  if (resolvedPath !== ':memory:') {\r\n    const dir = path.dirname(resolvedPath)\r\n    if (!fs.existsSync(dir)) {\r\n      fs.mkdirSync(dir, { recursive: true })\r\n    }\r\n  }\r\n  const db = new Database(resolvedPath)\r\n  db.pragma('journal_mode = WAL')\r\n  db.pragma('foreign_keys = ON')\r\n  db.exec(SCHEMA_SQL)\r\n  migrateLegacyToolCallsSchema(db)\r\n  migrateAddShadowDeltaTokens(db)\r\n  migrateAddCommandPreview(db)\r\n  dbInstance = db\r\n  currentPath = resolvedPath\r\n  return db\r\n}\r\n\r\nexport function closeDb(): void {\r\n  if (dbInstance) {\r\n    try {\r\n      dbInstance.close()\r\n    } catch {\r\n      // swallow\r\n    }\r\n    dbInstance = null\r\n    currentPath = null\r\n  }\r\n}\r\n","// SQLite schema — Phase 1.2 (simplified: removed FTS5, input_hash, tool_input_summary, content)\r\n// Covers: sessions, tool_calls, budgets, budget_events, optimization_snapshots, coach_surface_log, meta\r\n\r\nexport const SCHEMA_SQL = `\r\nCREATE TABLE IF NOT EXISTS sessions (\r\n  id TEXT PRIMARY KEY,\r\n  project_hash TEXT,\r\n  started_at TEXT NOT NULL DEFAULT (datetime('now'))\r\n);\r\n\r\nCREATE TABLE IF NOT EXISTS tool_calls (\r\n  id INTEGER PRIMARY KEY AUTOINCREMENT,\r\n  session_id TEXT NOT NULL REFERENCES sessions(id) ON DELETE CASCADE,\r\n  tool_name TEXT NOT NULL,\r\n  source TEXT NOT NULL,\r\n  output_bytes INTEGER NOT NULL,\r\n  tokens_estimated INTEGER NOT NULL,\r\n  tokens_actual INTEGER,\r\n  duration_ms INTEGER,\r\n  estimation_method TEXT,\r\n  shadow_delta_tokens INTEGER,\r\n  command_preview TEXT,\r\n  created_at TEXT NOT NULL DEFAULT (datetime('now'))\r\n);\r\n\r\nCREATE INDEX IF NOT EXISTS idx_tool_calls_session ON tool_calls(session_id, created_at DESC);\r\nCREATE INDEX IF NOT EXISTS idx_tool_calls_tool ON tool_calls(tool_name);\r\nCREATE INDEX IF NOT EXISTS idx_tool_calls_source ON tool_calls(source);\r\n\r\nCREATE TABLE IF NOT EXISTS budgets (\r\n  id INTEGER PRIMARY KEY AUTOINCREMENT,\r\n  scope TEXT NOT NULL CHECK(scope IN ('session', 'project')),\r\n  scope_key TEXT NOT NULL,\r\n  limit_tokens INTEGER NOT NULL CHECK(limit_tokens > 0),\r\n  spent_tokens INTEGER NOT NULL DEFAULT 0,\r\n  mode TEXT NOT NULL CHECK(mode IN ('warn')),\r\n  created_at TEXT NOT NULL DEFAULT (datetime('now')),\r\n  UNIQUE(scope, scope_key)\r\n);\r\n\r\nCREATE TABLE IF NOT EXISTS budget_events (\r\n  id INTEGER PRIMARY KEY AUTOINCREMENT,\r\n  budget_id INTEGER NOT NULL REFERENCES budgets(id) ON DELETE CASCADE,\r\n  event_type TEXT NOT NULL CHECK(event_type IN ('spend', 'warn', 'reset')),\r\n  tokens INTEGER,\r\n  created_at TEXT NOT NULL DEFAULT (datetime('now'))\r\n);\r\n\r\nCREATE TABLE IF NOT EXISTS optimization_snapshots (\r\n  id INTEGER PRIMARY KEY AUTOINCREMENT,\r\n  method TEXT NOT NULL,\r\n  details TEXT,\r\n  created_at TEXT NOT NULL DEFAULT (datetime('now'))\r\n);\r\n\r\nCREATE TABLE IF NOT EXISTS coach_surface_log (\r\n  id INTEGER PRIMARY KEY AUTOINCREMENT,\r\n  session_id TEXT NOT NULL REFERENCES sessions(id) ON DELETE CASCADE,\r\n  rule_id TEXT NOT NULL,\r\n  tip_id TEXT NOT NULL,\r\n  surfaced_via TEXT NOT NULL,\r\n  severity TEXT NOT NULL,\r\n  created_at TEXT NOT NULL DEFAULT (datetime('now'))\r\n);\r\n\r\nCREATE INDEX IF NOT EXISTS idx_coach_surface_log_session\r\n  ON coach_surface_log(session_id, created_at DESC);\r\n\r\nCREATE TABLE IF NOT EXISTS meta (\r\n  key TEXT PRIMARY KEY,\r\n  value TEXT NOT NULL\r\n);\r\n\r\n-- Pending RTK rewrites. PreToolUse writes a row when it rewrites a Bash command\r\n-- via rtk rewrite; PostToolUse consumes it to reclassify the event as source=rtk.\r\n-- The PostToolUse hook only sees the ORIGINAL command (what Claude asked for),\r\n-- not the command Claude Code actually executed after PreToolUse mutation. This\r\n-- table bridges the gap so stats reflect the real RTK activity.\r\nCREATE TABLE IF NOT EXISTS rtk_rewrites (\r\n  id INTEGER PRIMARY KEY AUTOINCREMENT,\r\n  session_id TEXT NOT NULL,\r\n  command_hash TEXT NOT NULL,\r\n  rewritten_to TEXT NOT NULL,\r\n  created_at TEXT NOT NULL DEFAULT (datetime('now'))\r\n);\r\n\r\nCREATE INDEX IF NOT EXISTS idx_rtk_rewrites_lookup\r\n  ON rtk_rewrites(session_id, command_hash, created_at DESC);\r\n\r\n-- Serena symbol touches. PostToolUse writes a row for each Serena read tool call\r\n-- that includes a relative_path, so SessionStart:compact can re-inject relevant\r\n-- symbols when context is reset.\r\nCREATE TABLE IF NOT EXISTS serena_symbol_touches (\r\n  id INTEGER PRIMARY KEY AUTOINCREMENT,\r\n  session_id TEXT NOT NULL REFERENCES sessions(id) ON DELETE CASCADE,\r\n  tool_name TEXT NOT NULL,\r\n  relative_path TEXT NOT NULL,\r\n  name_path TEXT,\r\n  created_at TEXT NOT NULL DEFAULT (datetime('now'))\r\n);\r\n\r\nCREATE INDEX IF NOT EXISTS idx_serena_symbol_touches_session\r\n  ON serena_symbol_touches(session_id, created_at DESC);\r\n`\r\n"],"mappings":";;;AAEA,OAAO,cAAc;AACrB,OAAO,QAAQ;AACf,OAAO,UAAU;;;ACDV,IAAM,aAAa;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;;;ADM1B,IAAI,aAAwB;AAC5B,IAAI,cAA6B;AAajC,SAAS,6BAA6B,IAAc;AAClD,QAAM,OAAO,GAAG,QAAQ,iCAAiC,EAAE,IAAI;AAC/D,MAAI,KAAK,WAAW,EAAG;AACvB,QAAM,eAAe,KAAK,KAAK,CAAC,MAAM,EAAE,SAAS,YAAY;AAC7D,MAAI,CAAC,aAAc;AAGnB,KAAG,KAAK;AAAA;AAAA;AAAA;AAAA,GAIP;AAGD,QAAM,UAAU,GAAG,YAAY,MAAM;AACnC,OAAG,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAyBP;AAAA,EACH,CAAC;AACD,UAAQ;AACV;AAGA,SAAS,4BAA4B,IAAc;AACjD,QAAM,OAAO,GAAG,QAAQ,iCAAiC,EAAE,IAAI;AAC/D,MAAI,KAAK,KAAK,CAAC,MAAM,EAAE,SAAS,qBAAqB,EAAG;AACxD,KAAG,KAAK,+DAA+D;AACzE;AAEA,SAAS,yBAAyB,IAAc;AAC9C,QAAM,OAAO,GAAG,QAAQ,iCAAiC,EAAE,IAAI;AAC/D,MAAI,KAAK,KAAK,CAAC,MAAM,EAAE,SAAS,iBAAiB,EAAG;AACpD,KAAG,KAAK,wDAAwD;AAClE;AAEO,SAAS,MAAM,QAAqB;AACzC,QAAM,eAAe,UAAU;AAC/B,MAAI,cAAc,gBAAgB,cAAc;AAC9C,WAAO;AAAA,EACT;AACA,MAAI,cAAc,gBAAgB,cAAc;AAC9C,QAAI;AACF,iBAAW,MAAM;AAAA,IACnB,QAAQ;AAAA,IAER;AACA,iBAAa;AAAA,EACf;AACA,MAAI,iBAAiB,YAAY;AAC/B,UAAM,MAAM,KAAK,QAAQ,YAAY;AACrC,QAAI,CAAC,GAAG,WAAW,GAAG,GAAG;AACvB,SAAG,UAAU,KAAK,EAAE,WAAW,KAAK,CAAC;AAAA,IACvC;AAAA,EACF;AACA,QAAM,KAAK,IAAI,SAAS,YAAY;AACpC,KAAG,OAAO,oBAAoB;AAC9B,KAAG,OAAO,mBAAmB;AAC7B,KAAG,KAAK,UAAU;AAClB,+BAA6B,EAAE;AAC/B,8BAA4B,EAAE;AAC9B,2BAAyB,EAAE;AAC3B,eAAa;AACb,gBAAc;AACd,SAAO;AACT;","names":[]}

dist/coach-RGJZHRQK.js

+#!/usr/bin/env node
+import {
+  KNOWLEDGE_BASE,
+  clearSurfaceLog,
+  measureContextSize,
+  runRules
+} from "./chunk-22BLF7AQ.js";
+import "./chunk-KNYWGCEX.js";
+import {
+  buildQueries
+} from "./chunk-OIZX7KF2.js";
+import {
+  getDb
+} from "./chunk-TOEPQYR3.js";
+import {
+  resolveAnalyticsDbPath,
+  resolveProjectDir
+} from "./chunk-V4PINTCV.js";
+
+// src/cli/coach.ts
+import fs from "fs";
+async function runCoachCli(args = [], opts = {}) {
+  const print = opts.print ?? ((m) => console.error(m));
+  const cwd = opts.cwd ?? process.cwd();
+  const sub = args[0] ?? "status";
+  if (sub === "list") {
+    print(`Knowledge base (${KNOWLEDGE_BASE.length} tips):`);
+    for (const tip of KNOWLEDGE_BASE) {
+      print(`  \u2022 ${tip.id.padEnd(32)} ${tip.title}`);
+    }
+    return 0;
+  }
+  if (sub === "explain") {
+    const tipId = args[1];
+    if (!tipId) {
+      print("Uso: token-optimizer-mcp coach explain <tip_id>");
+      return 1;
+    }
+    const tip = KNOWLEDGE_BASE.find((t) => t.id === tipId);
+    if (!tip) {
+      print(`Tip no encontrado: ${tipId}`);
+      return 1;
+    }
+    print(tip.title);
+    print("");
+    print(tip.description);
+    print("");
+    print(`Como usarlo: ${tip.how_to_invoke}`);
+    print(`Cuando:      ${tip.when_applicable}`);
+    print(`Ahorro:      ${tip.savings_estimate}`);
+    print(`Fuente:      ${tip.savings_source} \xB7 verificado: ${tip.verified_at}`);
+    return 0;
+  }
+  if (sub === "reset") {
+    const projectDir2 = resolveProjectDir(cwd);
+    const dbPath2 = resolveAnalyticsDbPath(projectDir2);
+    if (!fs.existsSync(dbPath2)) {
+      print("Sin DB; nada que resetear.");
+      return 0;
+    }
+    const db2 = getDb(dbPath2);
+    const deleted = clearSurfaceLog(db2);
+    print(`Log de coach reseteado (${deleted} entradas eliminadas)`);
+    return 0;
+  }
+  const projectDir = resolveProjectDir(cwd);
+  const dbPath = resolveAnalyticsDbPath(projectDir);
+  if (!fs.existsSync(dbPath)) {
+    print("Coach status: sin datos. Ejecuta el hook posttooluse al menos una vez.");
+    return 0;
+  }
+  const db = getDb(dbPath);
+  const contextOpts = { db };
+  if (projectDir) contextOpts.projectDir = projectDir;
+  const context = await measureContextSize("default", contextOpts);
+  const queries = buildQueries(db);
+  const since = new Date(Date.now() - 864e5).toISOString();
+  const rawRows = queries.getToolCallsSince(since);
+  const ctx = {
+    session_id: "default",
+    events: rawRows.slice(0, 100),
+    session_token_total: context.tokens,
+    session_token_method: context.estimation_method,
+    session_token_limit: context.limit,
+    active_model: null
+  };
+  const hits = runRules(ctx);
+  print("token-optimizer-mcp coach status");
+  print("");
+  print(
+    `Contexto: ${(context.percent * 100).toFixed(1)}% (${context.tokens}/${context.limit} tokens, ${context.estimation_method})`
+  );
+  print(`Tips activos: ${hits.length}`);
+  if (hits.length === 0) {
+    print("  (sin tips disparados en este momento)");
+  } else {
+    for (const h of hits) {
+      print(`  [${h.severity}] ${h.rule_id}: ${h.evidence}`);
+    }
+  }
+  return 0;
+}
+export {
+  runCoachCli
+};
+//# sourceMappingURL=coach-RGJZHRQK.js.map

dist/coach-RGJZHRQK.js.map

+{"version":3,"sources":["../src/cli/coach.ts"],"sourcesContent":["// Coach CLI — Phase 4.50\n// Subcommands: status | list | explain <tip_id> | reset\n\nimport fs from 'node:fs'\nimport { KNOWLEDGE_BASE } from '../coach/knowledge-base.js'\nimport { runRules } from '../coach/detector.js'\nimport { measureContextSize } from '../coach/context-meter.js'\nimport { clearSurfaceLog } from '../coach/surface.js'\nimport { getDb } from '../db/connection.js'\nimport { resolveProjectDir, resolveAnalyticsDbPath } from '../lib/paths.js'\nimport { buildQueries } from '../db/queries.js'\nimport type { EventContext, ToolEvent } from '../lib/types.js'\n\nexport interface CoachCliOptions {\n  cwd?: string\n  print?: (msg: string) => void\n}\n\nexport async function runCoachCli(\n  args: string[] = [],\n  opts: CoachCliOptions = {},\n): Promise<number> {\n  const print = opts.print ?? ((m: string) => console.error(m))\n  const cwd = opts.cwd ?? process.cwd()\n  const sub = args[0] ?? 'status'\n\n  if (sub === 'list') {\n    print(`Knowledge base (${KNOWLEDGE_BASE.length} tips):`)\n    for (const tip of KNOWLEDGE_BASE) {\n      print(`  • ${tip.id.padEnd(32)} ${tip.title}`)\n    }\n    return 0\n  }\n\n  if (sub === 'explain') {\n    const tipId = args[1]\n    if (!tipId) {\n      print('Uso: token-optimizer-mcp coach explain <tip_id>')\n      return 1\n    }\n    const tip = KNOWLEDGE_BASE.find((t) => t.id === tipId)\n    if (!tip) {\n      print(`Tip no encontrado: ${tipId}`)\n      return 1\n    }\n    print(tip.title)\n    print('')\n    print(tip.description)\n    print('')\n    print(`Como usarlo: ${tip.how_to_invoke}`)\n    print(`Cuando:      ${tip.when_applicable}`)\n    print(`Ahorro:      ${tip.savings_estimate}`)\n    print(`Fuente:      ${tip.savings_source} · verificado: ${tip.verified_at}`)\n    return 0\n  }\n\n  if (sub === 'reset') {\n    const projectDir = resolveProjectDir(cwd)\n    const dbPath = resolveAnalyticsDbPath(projectDir)\n    if (!fs.existsSync(dbPath)) {\n      print('Sin DB; nada que resetear.')\n      return 0\n    }\n    const db = getDb(dbPath)\n    const deleted = clearSurfaceLog(db)\n    print(`Log de coach reseteado (${deleted} entradas eliminadas)`)\n    return 0\n  }\n\n  // Default: status\n  const projectDir = resolveProjectDir(cwd)\n  const dbPath = resolveAnalyticsDbPath(projectDir)\n  if (!fs.existsSync(dbPath)) {\n    print('Coach status: sin datos. Ejecuta el hook posttooluse al menos una vez.')\n    return 0\n  }\n  const db = getDb(dbPath)\n  const contextOpts: {\n    db: typeof db\n    projectDir?: string\n  } = { db }\n  if (projectDir) contextOpts.projectDir = projectDir\n  const context = await measureContextSize('default', contextOpts)\n\n  const queries = buildQueries(db)\n  const since = new Date(Date.now() - 86_400_000).toISOString()\n  const rawRows = queries.getToolCallsSince(since) as ToolEvent[]\n  const ctx: EventContext = {\n    session_id: 'default',\n    events: rawRows.slice(0, 100),\n    session_token_total: context.tokens,\n    session_token_method: context.estimation_method,\n    session_token_limit: context.limit,\n    active_model: null,\n  }\n  const hits = runRules(ctx)\n\n  print('token-optimizer-mcp coach status')\n  print('')\n  print(\n    `Contexto: ${(context.percent * 100).toFixed(1)}% (${context.tokens}/${context.limit} tokens, ${context.estimation_method})`,\n  )\n  print(`Tips activos: ${hits.length}`)\n  if (hits.length === 0) {\n    print('  (sin tips disparados en este momento)')\n  } else {\n    for (const h of hits) {\n      print(`  [${h.severity}] ${h.rule_id}: ${h.evidence}`)\n    }\n  }\n  return 0\n}\n"],"mappings":";;;;;;;;;;;;;;;;;;;;AAGA,OAAO,QAAQ;AAef,eAAsB,YACpB,OAAiB,CAAC,GAClB,OAAwB,CAAC,GACR;AACjB,QAAM,QAAQ,KAAK,UAAU,CAAC,MAAc,QAAQ,MAAM,CAAC;AAC3D,QAAM,MAAM,KAAK,OAAO,QAAQ,IAAI;AACpC,QAAM,MAAM,KAAK,CAAC,KAAK;AAEvB,MAAI,QAAQ,QAAQ;AAClB,UAAM,mBAAmB,eAAe,MAAM,SAAS;AACvD,eAAW,OAAO,gBAAgB;AAChC,YAAM,YAAO,IAAI,GAAG,OAAO,EAAE,CAAC,IAAI,IAAI,KAAK,EAAE;AAAA,IAC/C;AACA,WAAO;AAAA,EACT;AAEA,MAAI,QAAQ,WAAW;AACrB,UAAM,QAAQ,KAAK,CAAC;AACpB,QAAI,CAAC,OAAO;AACV,YAAM,iDAAiD;AACvD,aAAO;AAAA,IACT;AACA,UAAM,MAAM,eAAe,KAAK,CAAC,MAAM,EAAE,OAAO,KAAK;AACrD,QAAI,CAAC,KAAK;AACR,YAAM,sBAAsB,KAAK,EAAE;AACnC,aAAO;AAAA,IACT;AACA,UAAM,IAAI,KAAK;AACf,UAAM,EAAE;AACR,UAAM,IAAI,WAAW;AACrB,UAAM,EAAE;AACR,UAAM,gBAAgB,IAAI,aAAa,EAAE;AACzC,UAAM,gBAAgB,IAAI,eAAe,EAAE;AAC3C,UAAM,gBAAgB,IAAI,gBAAgB,EAAE;AAC5C,UAAM,gBAAgB,IAAI,cAAc,qBAAkB,IAAI,WAAW,EAAE;AAC3E,WAAO;AAAA,EACT;AAEA,MAAI,QAAQ,SAAS;AACnB,UAAMA,cAAa,kBAAkB,GAAG;AACxC,UAAMC,UAAS,uBAAuBD,WAAU;AAChD,QAAI,CAAC,GAAG,WAAWC,OAAM,GAAG;AAC1B,YAAM,4BAA4B;AAClC,aAAO;AAAA,IACT;AACA,UAAMC,MAAK,MAAMD,OAAM;AACvB,UAAM,UAAU,gBAAgBC,GAAE;AAClC,UAAM,2BAA2B,OAAO,uBAAuB;AAC/D,WAAO;AAAA,EACT;AAGA,QAAM,aAAa,kBAAkB,GAAG;AACxC,QAAM,SAAS,uBAAuB,UAAU;AAChD,MAAI,CAAC,GAAG,WAAW,MAAM,GAAG;AAC1B,UAAM,wEAAwE;AAC9E,WAAO;AAAA,EACT;AACA,QAAM,KAAK,MAAM,MAAM;AACvB,QAAM,cAGF,EAAE,GAAG;AACT,MAAI,WAAY,aAAY,aAAa;AACzC,QAAM,UAAU,MAAM,mBAAmB,WAAW,WAAW;AAE/D,QAAM,UAAU,aAAa,EAAE;AAC/B,QAAM,QAAQ,IAAI,KAAK,KAAK,IAAI,IAAI,KAAU,EAAE,YAAY;AAC5D,QAAM,UAAU,QAAQ,kBAAkB,KAAK;AAC/C,QAAM,MAAoB;AAAA,IACxB,YAAY;AAAA,IACZ,QAAQ,QAAQ,MAAM,GAAG,GAAG;AAAA,IAC5B,qBAAqB,QAAQ;AAAA,IAC7B,sBAAsB,QAAQ;AAAA,IAC9B,qBAAqB,QAAQ;AAAA,IAC7B,cAAc;AAAA,EAChB;AACA,QAAM,OAAO,SAAS,GAAG;AAEzB,QAAM,kCAAkC;AACxC,QAAM,EAAE;AACR;AAAA,IACE,cAAc,QAAQ,UAAU,KAAK,QAAQ,CAAC,CAAC,MAAM,QAAQ,MAAM,IAAI,QAAQ,KAAK,YAAY,QAAQ,iBAAiB;AAAA,EAC3H;AACA,QAAM,iBAAiB,KAAK,MAAM,EAAE;AACpC,MAAI,KAAK,WAAW,GAAG;AACrB,UAAM,yCAAyC;AAAA,EACjD,OAAO;AACL,eAAW,KAAK,MAAM;AACpB,YAAM,MAAM,EAAE,QAAQ,KAAK,EAAE,OAAO,KAAK,EAAE,QAAQ,EAAE;AAAA,IACvD;AAAA,EACF;AACA,SAAO;AACT;","names":["projectDir","dbPath","db"]}

dist/dispatcher-SW3I5LZR.js

+#!/usr/bin/env node
+
+// src/cli/dispatcher.ts
+async function dispatchCli(argv) {
+  const [sub, ...rest] = argv;
+  switch (sub) {
+    case "install": {
+      const mod = await import("./install-TNLZRW5R.js");
+      return mod.runInstall(rest);
+    }
+    case "uninstall": {
+      const mod = await import("./uninstall-UK255POR.js");
+      return mod.runUninstall(rest);
+    }
+    case "doctor": {
+      const mod = await import("./doctor-C3UG64HT.js");
+      return mod.runDoctor(rest);
+    }
+    case "status": {
+      const mod = await import("./status-ZCOK7BWN.js");
+      return mod.runStatus(rest);
+    }
+    case "report": {
+      const mod = await import("./report-JX5CQ6FO.js");
+      return mod.runReport(rest);
+    }
+    case "budget": {
+      const mod = await import("./budget-NQVRS4O7.js");
+      return mod.runBudgetCli(rest);
+    }
+    case "config": {
+      const mod = await import("./config-ETWSZHVJ.js");
+      return mod.runConfigCommand(rest);
+    }
+    case "prune-mcp": {
+      const mod = await import("./prune-mcp-TGHEFZ3X.js");
+      return mod.runPruneMcp(rest);
+    }
+    case "coach": {
+      const mod = await import("./coach-RGJZHRQK.js");
+      return mod.runCoachCli(rest);
+    }
+    case "sync-xray": {
+      const mod = await import("./sync-xray-U6ORS5MP.js");
+      return mod.runSyncXray(rest);
+    }
+    default:
+      console.error(`Subcomando desconocido: ${sub ?? "(ninguno)"}`);
+      console.error(
+        "Disponibles: install, uninstall, doctor, status, report, budget, prune-mcp, coach, config, sync-xray"
+      );
+      return 1;
+  }
+}
+export {
+  dispatchCli
+};
+//# sourceMappingURL=dispatcher-SW3I5LZR.js.map

dist/dispatcher-SW3I5LZR.js.map

+{"version":3,"sources":["../src/cli/dispatcher.ts"],"sourcesContent":["// CLI subcommand dispatcher — Phase 4.9\n// Routes argv[0] to the appropriate subcommand module (lazy-imported).\n\nexport async function dispatchCli(argv: string[]): Promise<number> {\n  const [sub, ...rest] = argv\n  switch (sub) {\n    case 'install': {\n      const mod = await import('./install.js')\n      return mod.runInstall(rest)\n    }\n    case 'uninstall': {\n      const mod = await import('./uninstall.js')\n      return mod.runUninstall(rest)\n    }\n    case 'doctor': {\n      const mod = await import('./doctor.js')\n      return mod.runDoctor(rest)\n    }\n    case 'status': {\n      const mod = await import('./status.js')\n      return mod.runStatus(rest)\n    }\n    case 'report': {\n      const mod = await import('./report.js')\n      return mod.runReport(rest)\n    }\n    case 'budget': {\n      const mod = await import('./budget.js')\n      return mod.runBudgetCli(rest)\n    }\n    case 'config': {\n      const mod = await import('./config.js')\n      return mod.runConfigCommand(rest)\n    }\n    case 'prune-mcp': {\n      const mod = await import('./prune-mcp.js')\n      return mod.runPruneMcp(rest)\n    }\n    case 'coach': {\n      const mod = await import('./coach.js')\n      return mod.runCoachCli(rest)\n    }\n    case 'sync-xray': {\n      const mod = await import('./sync-xray.js')\n      return mod.runSyncXray(rest)\n    }\n    default:\n      console.error(`Subcomando desconocido: ${sub ?? '(ninguno)'}`)\n      console.error(\n        'Disponibles: install, uninstall, doctor, status, report, budget, prune-mcp, coach, config, sync-xray',\n      )\n      return 1\n  }\n}\n"],"mappings":";;;AAGA,eAAsB,YAAY,MAAiC;AACjE,QAAM,CAAC,KAAK,GAAG,IAAI,IAAI;AACvB,UAAQ,KAAK;AAAA,IACX,KAAK,WAAW;AACd,YAAM,MAAM,MAAM,OAAO,uBAAc;AACvC,aAAO,IAAI,WAAW,IAAI;AAAA,IAC5B;AAAA,IACA,KAAK,aAAa;AAChB,YAAM,MAAM,MAAM,OAAO,yBAAgB;AACzC,aAAO,IAAI,aAAa,IAAI;AAAA,IAC9B;AAAA,IACA,KAAK,UAAU;AACb,YAAM,MAAM,MAAM,OAAO,sBAAa;AACtC,aAAO,IAAI,UAAU,IAAI;AAAA,IAC3B;AAAA,IACA,KAAK,UAAU;AACb,YAAM,MAAM,MAAM,OAAO,sBAAa;AACtC,aAAO,IAAI,UAAU,IAAI;AAAA,IAC3B;AAAA,IACA,KAAK,UAAU;AACb,YAAM,MAAM,MAAM,OAAO,sBAAa;AACtC,aAAO,IAAI,UAAU,IAAI;AAAA,IAC3B;AAAA,IACA,KAAK,UAAU;AACb,YAAM,MAAM,MAAM,OAAO,sBAAa;AACtC,aAAO,IAAI,aAAa,IAAI;AAAA,IAC9B;AAAA,IACA,KAAK,UAAU;AACb,YAAM,MAAM,MAAM,OAAO,sBAAa;AACtC,aAAO,IAAI,iBAAiB,IAAI;AAAA,IAClC;AAAA,IACA,KAAK,aAAa;AAChB,YAAM,MAAM,MAAM,OAAO,yBAAgB;AACzC,aAAO,IAAI,YAAY,IAAI;AAAA,IAC7B;AAAA,IACA,KAAK,SAAS;AACZ,YAAM,MAAM,MAAM,OAAO,qBAAY;AACrC,aAAO,IAAI,YAAY,IAAI;AAAA,IAC7B;AAAA,IACA,KAAK,aAAa;AAChB,YAAM,MAAM,MAAM,OAAO,yBAAgB;AACzC,aAAO,IAAI,YAAY,IAAI;AAAA,IAC7B;AAAA,IACA;AACE,cAAQ,MAAM,2BAA2B,OAAO,WAAW,EAAE;AAC7D,cAAQ;AAAA,QACN;AAAA,MACF;AACA,aAAO;AAAA,EACX;AACF;","names":[]}

dist/prune-mcp-TGHEFZ3X.js

+#!/usr/bin/env node
+import {
+  applyAllowlist,
+  clearAllowlist,
+  generateFromHistory,
+  impact,
+  rollback,
+  runPruneMcp,
+  settingsLocalPath
+} from "./chunk-3CAOEPYE.js";
+import "./chunk-L5Z32XXL.js";
+import "./chunk-TOEPQYR3.js";
+import "./chunk-V4PINTCV.js";
+export {
+  applyAllowlist,
+  clearAllowlist,
+  generateFromHistory,
+  impact,
+  rollback,
+  runPruneMcp,
+  settingsLocalPath
+};
+//# sourceMappingURL=prune-mcp-TGHEFZ3X.js.map

dist/prune-mcp-TGHEFZ3X.js.map

+{"version":3,"sources":[],"sourcesContent":[],"mappings":"","names":[]}

dist/report-JX5CQ6FO.js

+#!/usr/bin/env node
+import {
+  getDb
+} from "./chunk-TOEPQYR3.js";
+import {
+  resolveAnalyticsDbPath,
+  resolveProjectDir
+} from "./chunk-V4PINTCV.js";
+
+// src/cli/report.ts
+import fs from "fs";
+var PERIOD_DAYS = {
+  session: 3650,
+  day: 1,
+  week: 7,
+  month: 30
+};
+function isMeasured(method) {
+  return method === "measured_exact" || method === "measured_delta";
+}
+function queryBySourceAndMethod(db, sinceIso) {
+  return db.prepare(
+    `SELECT source, estimation_method,
+              COUNT(*) as count,
+              COALESCE(SUM(tokens_estimated), 0) as tokens
+       FROM tool_calls
+       WHERE created_at >= ?
+       GROUP BY source, estimation_method
+       ORDER BY tokens DESC`
+  ).all(sinceIso);
+}
+var REFERENCE_DATA = [
+  {
+    feature: "Model switching (opusplan / default-to-sonnet)",
+    saving: "60-80% reduccion de coste",
+    source: "mindstudio.ai, verdent.ai, claudelab.net",
+    verified_at: "2026-04-11"
+  },
+  {
+    feature: "Progressive disclosure skills",
+    saving: "~15k tokens/sesion (82% mejor que CLAUDE.md monolitico)",
+    source: "claudefast.com",
+    verified_at: "2026-04-11"
+  },
+  {
+    feature: "Prompt caching read hit",
+    saving: "10x mas barato que uncached",
+    source: "Anthropic docs",
+    verified_at: "2026-04-11"
+  },
+  {
+    feature: "Claude Code Tool Search",
+    saving: "~85% schema reduction (77k \u2192 8.7k)",
+    source: "observado en sesion",
+    verified_at: "2026-04-11"
+  },
+  {
+    feature: "MCP pruning sobre Tool Search",
+    saving: "~5-12% adicional por turno",
+    source: "estimacion interna",
+    verified_at: "2026-04-11"
+  }
+];
+function resolvePeriod(args, fallback) {
+  const flag = args.find((a) => a.startsWith("--period="));
+  if (flag) {
+    const value = flag.split("=")[1];
+    if (value && value in PERIOD_DAYS) return value;
+  }
+  return fallback;
+}
+function runReport(args = [], opts = {}) {
+  const print = opts.print ?? ((m) => console.error(m));
+  const cwd = opts.cwd ?? process.cwd();
+  const period = opts.period ?? resolvePeriod(args, "day");
+  const days = PERIOD_DAYS[period];
+  const projectDir = resolveProjectDir(cwd);
+  const dbPath = resolveAnalyticsDbPath(projectDir);
+  const lines = [];
+  lines.push(`token-optimizer-mcp reporte \u2014 periodo: ${period} (${days} dia(s))`);
+  lines.push("");
+  if (!fs.existsSync(dbPath)) {
+    lines.push("No hay datos registrados todavia.");
+  } else {
+    const db = getDb(dbPath);
+    const since = new Date(Date.now() - days * 864e5).toISOString();
+    const rows = queryBySourceAndMethod(db, since);
+    let medidoTotal = 0;
+    let estimadoTotal = 0;
+    lines.push("Por fuente y metodo de estimacion:");
+    if (rows.length === 0) {
+      lines.push("  (sin eventos en este periodo)");
+    } else {
+      for (const row of rows) {
+        const method = row.estimation_method ?? "unknown";
+        lines.push(
+          `  ${row.source.padEnd(8)} [${method}]  ${row.count} llamadas  ${row.tokens} tokens`
+        );
+        if (isMeasured(method)) medidoTotal += row.tokens;
+        else estimadoTotal += row.tokens;
+      }
+    }
+    lines.push("");
+    lines.push(`Resumen: Medido: ${medidoTotal} tokens \xB7 Estimado: ${estimadoTotal} tokens`);
+    lines.push("");
+  }
+  lines.push("Coach activity:");
+  lines.push("  (sin tips surfaceados todavia \u2014 coach layer se activa en Phase 4.H)");
+  lines.push("");
+  printReference(lines);
+  print(lines.join("\n"));
+  return 0;
+}
+function printReference(lines) {
+  lines.push("Referencia (datos publicos verificables):");
+  for (const row of REFERENCE_DATA) {
+    lines.push(`  \u2022 ${row.feature}`);
+    lines.push(`    ahorro: ${row.saving}`);
+    lines.push(`    fuente: ${row.source} \xB7 verificado: ${row.verified_at}`);
+  }
+}
+export {
+  runReport
+};
+//# sourceMappingURL=report-JX5CQ6FO.js.map

dist/report-JX5CQ6FO.js.map

+{"version":3,"sources":["../src/cli/report.ts"],"sourcesContent":["// Report CLI — Phase 4.14\n// Per-source breakdown WITH estimation_method label + Medido/Estimado split +\n// reference-data table (coach-layer addendum CO-4). Spanish.\n\nimport fs from 'node:fs'\nimport type Database from 'better-sqlite3'\nimport { getDb } from '../db/connection.js'\nimport { resolveProjectDir, resolveAnalyticsDbPath } from '../lib/paths.js'\n\ntype DB = Database.Database\n\ntype Period = 'session' | 'day' | 'week' | 'month'\n\nconst PERIOD_DAYS: Record<Period, number> = {\n  session: 3650,\n  day: 1,\n  week: 7,\n  month: 30,\n}\n\ninterface SourceMethodRow {\n  source: string\n  estimation_method: string | null\n  count: number\n  tokens: number\n}\n\nfunction isMeasured(method: string | null): boolean {\n  return method === 'measured_exact' || method === 'measured_delta'\n}\n\nfunction queryBySourceAndMethod(db: DB, sinceIso: string): SourceMethodRow[] {\n  return db\n    .prepare(\n      `SELECT source, estimation_method,\n              COUNT(*) as count,\n              COALESCE(SUM(tokens_estimated), 0) as tokens\n       FROM tool_calls\n       WHERE created_at >= ?\n       GROUP BY source, estimation_method\n       ORDER BY tokens DESC`,\n    )\n    .all(sinceIso) as SourceMethodRow[]\n}\n\nexport interface ReportOptions {\n  cwd?: string\n  period?: Period\n  print?: (msg: string) => void\n}\n\nconst REFERENCE_DATA: Array<{\n  feature: string\n  saving: string\n  source: string\n  verified_at: string\n}> = [\n  {\n    feature: 'Model switching (opusplan / default-to-sonnet)',\n    saving: '60-80% reduccion de coste',\n    source: 'mindstudio.ai, verdent.ai, claudelab.net',\n    verified_at: '2026-04-11',\n  },\n  {\n    feature: 'Progressive disclosure skills',\n    saving: '~15k tokens/sesion (82% mejor que CLAUDE.md monolitico)',\n    source: 'claudefast.com',\n    verified_at: '2026-04-11',\n  },\n  {\n    feature: 'Prompt caching read hit',\n    saving: '10x mas barato que uncached',\n    source: 'Anthropic docs',\n    verified_at: '2026-04-11',\n  },\n  {\n    feature: 'Claude Code Tool Search',\n    saving: '~85% schema reduction (77k → 8.7k)',\n    source: 'observado en sesion',\n    verified_at: '2026-04-11',\n  },\n  {\n    feature: 'MCP pruning sobre Tool Search',\n    saving: '~5-12% adicional por turno',\n    source: 'estimacion interna',\n    verified_at: '2026-04-11',\n  },\n]\n\nfunction resolvePeriod(args: string[], fallback: Period): Period {\n  const flag = args.find((a) => a.startsWith('--period='))\n  if (flag) {\n    const value = flag.split('=')[1] as Period | undefined\n    if (value && value in PERIOD_DAYS) return value\n  }\n  return fallback\n}\n\nexport function runReport(args: string[] = [], opts: ReportOptions = {}): number {\n  const print = opts.print ?? ((m: string) => console.error(m))\n  const cwd = opts.cwd ?? process.cwd()\n  const period: Period = opts.period ?? resolvePeriod(args, 'day')\n  const days = PERIOD_DAYS[period]\n\n  const projectDir = resolveProjectDir(cwd)\n  const dbPath = resolveAnalyticsDbPath(projectDir)\n\n  const lines: string[] = []\n  lines.push(`token-optimizer-mcp reporte — periodo: ${period} (${days} dia(s))`)\n  lines.push('')\n\n  if (!fs.existsSync(dbPath)) {\n    lines.push('No hay datos registrados todavia.')\n  } else {\n    const db = getDb(dbPath)\n    const since = new Date(Date.now() - days * 86_400_000).toISOString()\n    const rows = queryBySourceAndMethod(db, since)\n\n    let medidoTotal = 0\n    let estimadoTotal = 0\n\n    lines.push('Por fuente y metodo de estimacion:')\n    if (rows.length === 0) {\n      lines.push('  (sin eventos en este periodo)')\n    } else {\n      for (const row of rows) {\n        const method = row.estimation_method ?? 'unknown'\n        lines.push(\n          `  ${row.source.padEnd(8)} [${method}]  ${row.count} llamadas  ${row.tokens} tokens`,\n        )\n        if (isMeasured(method)) medidoTotal += row.tokens\n        else estimadoTotal += row.tokens\n      }\n    }\n    lines.push('')\n    lines.push(`Resumen: Medido: ${medidoTotal} tokens · Estimado: ${estimadoTotal} tokens`)\n    lines.push('')\n  }\n\n  // Coach activity section (always present; filled in Phase 4.H with real data)\n  lines.push('Coach activity:')\n  lines.push('  (sin tips surfaceados todavia — coach layer se activa en Phase 4.H)')\n  lines.push('')\n\n  printReference(lines)\n  print(lines.join('\\n'))\n  return 0\n}\n\nfunction printReference(lines: string[]): void {\n  lines.push('Referencia (datos publicos verificables):')\n  for (const row of REFERENCE_DATA) {\n    lines.push(`  • ${row.feature}`)\n    lines.push(`    ahorro: ${row.saving}`)\n    lines.push(`    fuente: ${row.source} · verificado: ${row.verified_at}`)\n  }\n}\n"],"mappings":";;;;;;;;;;AAIA,OAAO,QAAQ;AASf,IAAM,cAAsC;AAAA,EAC1C,SAAS;AAAA,EACT,KAAK;AAAA,EACL,MAAM;AAAA,EACN,OAAO;AACT;AASA,SAAS,WAAW,QAAgC;AAClD,SAAO,WAAW,oBAAoB,WAAW;AACnD;AAEA,SAAS,uBAAuB,IAAQ,UAAqC;AAC3E,SAAO,GACJ;AAAA,IACC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAOF,EACC,IAAI,QAAQ;AACjB;AAQA,IAAM,iBAKD;AAAA,EACH;AAAA,IACE,SAAS;AAAA,IACT,QAAQ;AAAA,IACR,QAAQ;AAAA,IACR,aAAa;AAAA,EACf;AAAA,EACA;AAAA,IACE,SAAS;AAAA,IACT,QAAQ;AAAA,IACR,QAAQ;AAAA,IACR,aAAa;AAAA,EACf;AAAA,EACA;AAAA,IACE,SAAS;AAAA,IACT,QAAQ;AAAA,IACR,QAAQ;AAAA,IACR,aAAa;AAAA,EACf;AAAA,EACA;AAAA,IACE,SAAS;AAAA,IACT,QAAQ;AAAA,IACR,QAAQ;AAAA,IACR,aAAa;AAAA,EACf;AAAA,EACA;AAAA,IACE,SAAS;AAAA,IACT,QAAQ;AAAA,IACR,QAAQ;AAAA,IACR,aAAa;AAAA,EACf;AACF;AAEA,SAAS,cAAc,MAAgB,UAA0B;AAC/D,QAAM,OAAO,KAAK,KAAK,CAAC,MAAM,EAAE,WAAW,WAAW,CAAC;AACvD,MAAI,MAAM;AACR,UAAM,QAAQ,KAAK,MAAM,GAAG,EAAE,CAAC;AAC/B,QAAI,SAAS,SAAS,YAAa,QAAO;AAAA,EAC5C;AACA,SAAO;AACT;AAEO,SAAS,UAAU,OAAiB,CAAC,GAAG,OAAsB,CAAC,GAAW;AAC/E,QAAM,QAAQ,KAAK,UAAU,CAAC,MAAc,QAAQ,MAAM,CAAC;AAC3D,QAAM,MAAM,KAAK,OAAO,QAAQ,IAAI;AACpC,QAAM,SAAiB,KAAK,UAAU,cAAc,MAAM,KAAK;AAC/D,QAAM,OAAO,YAAY,MAAM;AAE/B,QAAM,aAAa,kBAAkB,GAAG;AACxC,QAAM,SAAS,uBAAuB,UAAU;AAEhD,QAAM,QAAkB,CAAC;AACzB,QAAM,KAAK,+CAA0C,MAAM,KAAK,IAAI,UAAU;AAC9E,QAAM,KAAK,EAAE;AAEb,MAAI,CAAC,GAAG,WAAW,MAAM,GAAG;AAC1B,UAAM,KAAK,mCAAmC;AAAA,EAChD,OAAO;AACL,UAAM,KAAK,MAAM,MAAM;AACvB,UAAM,QAAQ,IAAI,KAAK,KAAK,IAAI,IAAI,OAAO,KAAU,EAAE,YAAY;AACnE,UAAM,OAAO,uBAAuB,IAAI,KAAK;AAE7C,QAAI,cAAc;AAClB,QAAI,gBAAgB;AAEpB,UAAM,KAAK,oCAAoC;AAC/C,QAAI,KAAK,WAAW,GAAG;AACrB,YAAM,KAAK,iCAAiC;AAAA,IAC9C,OAAO;AACL,iBAAW,OAAO,MAAM;AACtB,cAAM,SAAS,IAAI,qBAAqB;AACxC,cAAM;AAAA,UACJ,KAAK,IAAI,OAAO,OAAO,CAAC,CAAC,KAAK,MAAM,MAAM,IAAI,KAAK,cAAc,IAAI,MAAM;AAAA,QAC7E;AACA,YAAI,WAAW,MAAM,EAAG,gBAAe,IAAI;AAAA,YACtC,kBAAiB,IAAI;AAAA,MAC5B;AAAA,IACF;AACA,UAAM,KAAK,EAAE;AACb,UAAM,KAAK,oBAAoB,WAAW,0BAAuB,aAAa,SAAS;AACvF,UAAM,KAAK,EAAE;AAAA,EACf;AAGA,QAAM,KAAK,iBAAiB;AAC5B,QAAM,KAAK,4EAAuE;AAClF,QAAM,KAAK,EAAE;AAEb,iBAAe,KAAK;AACpB,QAAM,MAAM,KAAK,IAAI,CAAC;AACtB,SAAO;AACT;AAEA,SAAS,eAAe,OAAuB;AAC7C,QAAM,KAAK,2CAA2C;AACtD,aAAW,OAAO,gBAAgB;AAChC,UAAM,KAAK,YAAO,IAAI,OAAO,EAAE;AAC/B,UAAM,KAAK,eAAe,IAAI,MAAM,EAAE;AACtC,UAAM,KAAK,eAAe,IAAI,MAAM,qBAAkB,IAAI,WAAW,EAAE;AAAA,EACzE;AACF;","names":[]}

dist/server-GY6E6HFP.js

+#!/usr/bin/env node
+import {
+  KNOWLEDGE_BASE,
+  getCoachSurfaceLog,
+  measureContextSize,
+  postSummaryToXray,
+  runRules
+} from "./chunk-22BLF7AQ.js";
+import "./chunk-KNYWGCEX.js";
+import {
+  applyAllowlist,
+  clearAllowlist,
+  generateFromHistory,
+  rollback
+} from "./chunk-3CAOEPYE.js";
+import {
+  ensureStorageDir
+} from "./chunk-VHP52B3J.js";
+import {
+  buildSuggestions,
+  checkSerenaHealth,
+  probeMcpPruning,
+  probePromptCaching,
+  probeRtk,
+  probeSerena
+} from "./chunk-DSMHUGNS.js";
+import {
+  measureCurrentSchemaBytes
+} from "./chunk-L5Z32XXL.js";
+import {
+  getCostReport,
+  getUsageStats
+} from "./chunk-3LSC7CFQ.js";
+import {
+  BudgetManager
+} from "./chunk-DK5JDNWQ.js";
+import {
+  buildQueries
+} from "./chunk-OIZX7KF2.js";
+import {
+  getDb
+} from "./chunk-TOEPQYR3.js";
+import {
+  resolveAnalyticsDbPath,
+  resolveProjectDir
+} from "./chunk-V4PINTCV.js";
+
+// src/server.ts
+import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
+
+// src/tools/budget.ts
+import { z } from "zod";
+
+// src/lib/response.ts
+var text = (t) => ({
+  content: [{ type: "text", text: t }]
+});
+var error = (t) => ({
+  content: [{ type: "text", text: `Error: ${t}` }],
+  isError: true
+});
+
+// src/tools/budget.ts
+var DAY_MS = 864e5;
+function sinceForPeriod(period) {
+  const now = Date.now();
+  switch (period) {
+    case "day":
+      return new Date(now - DAY_MS).toISOString();
+    case "week":
+      return new Date(now - 7 * DAY_MS).toISOString();
+    case "month":
+      return new Date(now - 30 * DAY_MS).toISOString();
+    case "session":
+    default:
+      return "1970-01-01T00:00:00.000Z";
+  }
+}
+function registerBudgetTools(server, db) {
+  const manager = new BudgetManager(db);
+  server.tool(
+    "budget_set",
+    "Define o actualiza un presupuesto de tokens. Precedencia: session > project. Modo warn avisa al exceder.",
+    {
+      scope: z.enum(["session", "project"]).describe("Ambito del presupuesto"),
+      scope_key: z.string().min(1).describe("Clave del scope (sessionId o projectHash)"),
+      limit_tokens: z.number().int().positive().max(1e7).describe("Limite en tokens (1..10_000_000)")
+    },
+    async ({ scope, scope_key, limit_tokens }) => {
+      try {
+        const budget = manager.setBudget({ scope, scope_key, limit_tokens });
+        return text(
+          [
+            "Presupuesto guardado:",
+            "",
+            `  scope:        ${budget.scope}`,
+            `  scope_key:    ${budget.scope_key}`,
+            `  limit_tokens: ${budget.limit_tokens}`,
+            `  mode:         ${budget.mode}`
+          ].join("\n")
+        );
+      } catch (e) {
+        return error(e instanceof Error ? e.message : String(e));
+      }
+    }
+  );
+  server.tool(
+    "budget_check",
+    "Consulta el estado del presupuesto activo (gasto actual, restante y porcentaje).",
+    {
+      session_id: z.string().optional().describe('ID de sesion (default: "default")'),
+      project_hash: z.string().optional().describe("Hash del proyecto para fallback a scope project")
+    },
+    async ({ session_id, project_hash }) => {
+      try {
+        const status = manager.checkBudget(session_id ?? "default", project_hash ?? null);
+        if (!status.active) {
+          return text("Sin presupuesto activo para la sesion/proyecto actual.");
+        }
+        const percent = (status.percent_used * 100).toFixed(1);
+        return text(
+          [
+            "Estado del presupuesto:",
+            "",
+            `  gastado:  ${status.spent} tokens`,
+            `  restante: ${status.remaining} tokens`,
+            `  uso:      ${percent}%`,
+            `  modo:     ${status.mode ?? "n/a"}`
+          ].join("\n")
+        );
+      } catch (e) {
+        return error(e instanceof Error ? e.message : String(e));
+      }
+    }
+  );
+  server.tool(
+    "budget_report",
+    "Muestra el consumo de tokens agrupado por herramienta y por fuente durante un periodo.",
+    {
+      period: z.enum(["session", "day", "week", "month"]).optional().describe("Periodo del reporte (default: day)")
+    },
+    async ({ period }) => {
+      try {
+        const since = sinceForPeriod(period ?? "day");
+        const report = manager.getBudgetReport(since);
+        const lines = [`Reporte de consumo (desde ${report.period_since}):`, ""];
+        lines.push("Por herramienta:");
+        if (report.by_tool.length === 0) {
+          lines.push("  (sin datos)");
+        } else {
+          for (const row of report.by_tool) {
+            lines.push(`  ${row.tool_name}: ${row.count} llamadas, ${row.tokens} tokens`);
+          }
+        }
+        lines.push("");
+        lines.push("Por fuente:");
+        if (report.by_source.length === 0) {
+          lines.push("  (sin datos)");
+        } else {
+          for (const row of report.by_source) {
+            lines.push(`  ${row.source}: ${row.count} llamadas, ${row.tokens} tokens`);
+          }
+        }
+        return text(lines.join("\n"));
+      } catch (e) {
+        return error(e instanceof Error ? e.message : String(e));
+      }
+    }
+  );
+}
+
+// src/tools/session.ts
+function registerSessionTools(_server, _db) {
+}
+
+// src/tools/orchestration.ts
+import { z as z2 } from "zod";
+
+// src/services/session-summary-builder.ts
+function buildSessionSummary(db, sessionId, version) {
+  const usage = getUsageStats(db, 1);
+  const cost = getCostReport(db, 1);
+  const serena = probeSerena();
+  const rtk = probeRtk();
+  const mcpPruning = probeMcpPruning();
+  const promptCaching = probePromptCaching();
+  const schema = measureCurrentSchemaBytes();
+  const coachTips = getCoachSurfaceLog(db, sessionId);
+  const projDir = resolveProjectDir();
+  const projName = projDir.split(/[\\/]/).filter(Boolean).pop() ?? "unknown";
+  return {
+    session_id: sessionId,
+    project_path: projDir,
+    project_name: projName,
+    total_tokens: usage.total_tokens,
+    total_events: usage.total_events,
+    by_source: usage.by_source,
+    by_tool: usage.by_tool.map((t) => ({
+      tool_name: t.tool_name,
+      count: t.count,
+      tokens: t.tokens
+    })),
+    cost_haiku: cost.estimated_cost_usd_haiku,
+    cost_sonnet: cost.estimated_cost_usd_sonnet,
+    cost_opus: cost.estimated_cost_usd_opus,
+    probes: {
+      serena: { present: serena.present, confidence: serena.confidence, signals: serena.signals },
+      rtk: { present: rtk.present, confidence: rtk.confidence, signals: rtk.signals },
+      mcp_pruning: {
+        present: mcpPruning.present,
+        confidence: mcpPruning.confidence,
+        signals: mcpPruning.signals
+      },
+      prompt_caching: { present: promptCaching.present, confidence: promptCaching.confidence }
+    },
+    coach_tips_surfaced: coachTips,
+    schema_measurement: {
+      tool_schema_tokens: schema.tool_schema_tokens,
+      mcp_servers: schema.mcp_servers
+    },
+    optimizer_version: version
+  };
+}
+
+// src/tools/orchestration.ts
+function registerOrchestrationTools(server, db) {
+  server.tool(
+    "mcp_usage_stats",
+    "Estadisticas de uso de tokens por herramienta y fuente en un periodo.",
+    {
+      days: z2.number().int().positive().max(365).optional().describe("Dias a analizar (default: 7)")
+    },
+    async ({ days }) => {
+      try {
+        const stats = getUsageStats(db, days ?? 7);
+        const lines = [
+          `Uso en los ultimos ${stats.period_days} dia(s):`,
+          "",
+          `Total: ${stats.total_tokens} tokens, ${stats.total_events} eventos`,
+          "",
+          "Por fuente:"
+        ];
+        if (stats.by_source.length === 0) {
+          lines.push("  (sin datos)");
+        } else {
+          for (const row of stats.by_source) {
+            lines.push(`  ${row.source}: ${row.tokens} tokens, ${row.count} llamadas`);
+          }
+        }
+        lines.push("");
+        lines.push("Top herramientas:");
+        if (stats.by_tool.length === 0) {
+          lines.push("  (sin datos)");
+        } else {
+          for (const row of stats.by_tool.slice(0, 10)) {
+            lines.push(`  ${row.tool_name}: ${row.tokens} tokens, ${row.count} llamadas`);
+          }
+        }
+        return text(lines.join("\n"));
+      } catch (e) {
+        return error(e instanceof Error ? e.message : String(e));
+      }
+    }
+  );
+  server.tool(
+    "mcp_cost_report",
+    "Reporte de coste estimado con rango Haiku-Sonnet-Opus y disclaimer honesto.",
+    {
+      days: z2.number().int().positive().max(365).optional().describe("Dias a analizar (default: 7)")
+    },
+    async ({ days }) => {
+      try {
+        const cost = getCostReport(db, days ?? 7);
+        const lines = [
+          `Reporte de coste (${cost.period_days} dia(s)):`,
+          "",
+          `Tokens totales: ${cost.total_tokens}`,
+          `Coste estimado (input pricing):`,
+          `  Haiku 4.5:  $${cost.estimated_cost_usd_haiku.toFixed(4)}  ($1/MTok)`,
+          `  Sonnet 4.6: $${cost.estimated_cost_usd_sonnet.toFixed(4)}  ($3/MTok)`,
+          `  Opus 4.6:   $${cost.estimated_cost_usd_opus.toFixed(4)}  ($5/MTok)`,
+          "",
+          `Nota: ${cost.disclaimer}`
+        ];
+        return text(lines.join("\n"));
+      } catch (e) {
+        return error(e instanceof Error ? e.message : String(e));
+      }
+    }
+  );
+  server.tool(
+    "optimization_status",
+    "Estado de las optimizaciones detectadas: serena, RTK, MCP pruning, prompt caching, schema size.",
+    {},
+    async () => {
+      try {
+        const serena = probeSerena();
+        const rtk = probeRtk();
+        const pruning = probeMcpPruning();
+        const pcProbe = probePromptCaching();
+        void pcProbe;
+        const schema = measureCurrentSchemaBytes();
+        const status = {
+          serena,
+          rtk,
+          mcp_pruning: pruning,
+          prompt_caching: {
+            active_by_default: true,
+            savings_tokens: null,
+            estimation_method: "unknown",
+            note: "Revisa tu factura Anthropic para confirmar el ahorro real"
+          },
+          schema_bytes: {
+            tool_schema_bytes: schema.tool_schema_bytes,
+            measurement_method: schema.measurement_method
+          }
+        };
+        const serenaHealth = serena.present ? checkSerenaHealth() : [];
+        const suggestions = buildSuggestions(status);
+        try {
+          const lastSession = db.prepare("SELECT id FROM sessions ORDER BY started_at DESC LIMIT 1").get();
+          if (lastSession) {
+            const summary = buildSessionSummary(db, lastSession.id, "0.2.6");
+            void postSummaryToXray(summary).catch(() => {
+            });
+          }
+        } catch {
+        }
+        return text(JSON.stringify({ status, serena_health: serenaHealth, suggestions }, null, 2));
+      } catch (e) {
+        return error(e instanceof Error ? e.message : String(e));
+      }
+    }
+  );
+  server.tool(
+    "mcp_prune_suggest",
+    "Genera un allowlist de MCPs basandose en el historial (NO modifica archivos).",
+    {
+      days: z2.number().int().positive().max(365).optional().describe("Dias de historial a analizar (default: 14)")
+    },
+    async ({ days }) => {
+      try {
+        const proposal = generateFromHistory({ days: days ?? 14 });
+        return text(JSON.stringify(proposal, null, 2));
+      } catch (e) {
+        return error(e instanceof Error ? e.message : String(e));
+      }
+    }
+  );
+  server.tool(
+    "mcp_prune_apply",
+    "Restringe los MCPs activos escribiendo enabledMcpjsonServers en .claude/settings.local.json. Requiere confirm:true. Acepta dos formas equivalentes: allowlist (lista blanca, los que SI quieres) o exclude (lista negra, los que NO quieres). Se debe pasar exactamente una de las dos.",
+    {
+      allowlist: z2.array(z2.string()).optional().describe("Nombres de MCPs a permitir (lista blanca). Exclusivo con exclude."),
+      exclude: z2.array(z2.string()).optional().describe(
+        "Nombres de MCPs a desactivar (lista negra). Internamente se traduce a allowlist = registrados - exclude. Exclusivo con allowlist."
+      ),
+      confirm: z2.boolean().describe("Debe ser true para confirmar la escritura")
+    },
+    async ({ allowlist, exclude, confirm }) => {
+      try {
+        if (confirm !== true) {
+          return error(
+            "Operacion destructiva: requiere confirm:true. Revisa el allowlist antes de aplicar."
+          );
+        }
+        const hasAllow = Array.isArray(allowlist);
+        const hasExclude = Array.isArray(exclude);
+        if (hasAllow === hasExclude) {
+          return error(
+            "Debes pasar exactamente uno: allowlist (los que SI quieres) o exclude (los que NO quieres)."
+          );
+        }
+        const schema = measureCurrentSchemaBytes();
+        const registered = new Set(schema.mcp_servers);
+        let effective;
+        let translationNote = "";
+        if (hasAllow) {
+          effective = allowlist;
+          if (registered.size > 0) {
+            const invalid = effective.filter((s) => !registered.has(s));
+            if (invalid.length > 0) {
+              return error(
+                `Allowlist contiene MCPs no registrados en settings: ${invalid.join(", ")}`
+              );
+            }
+          }
+        } else {
+          const excludeSet = new Set(exclude);
+          if (registered.size > 0) {
+            const invalid = exclude.filter((s) => !registered.has(s));
+            if (invalid.length > 0) {
+              return error(
+                `Exclude contiene MCPs no registrados en settings: ${invalid.join(", ")}`
+              );
+            }
+          }
+          effective = [...registered].filter((s) => !excludeSet.has(s));
+          translationNote = `
+  exclude: [${exclude.join(", ")}]
+  \u2192 allowlist efectivo: [${effective.join(", ")}]`;
+        }
+        const applied = applyAllowlist(effective, { source: "mcp" });
+        return text(
+          `Allowlist aplicado.${translationNote}
+  settings: ${applied.settings_path}
+  backup:   ${applied.backup_path}`
+        );
+      } catch (e) {
+        return error(e instanceof Error ? e.message : String(e));
+      }
+    }
+  );
+  server.tool(
+    "mcp_prune_rollback",
+    "Restaura el backup mas reciente de settings.local.json. Requiere confirm:true.",
+    {
+      confirm: z2.boolean(),
+      to: z2.string().optional().describe("Timestamp opcional del backup a restaurar")
+    },
+    async ({ confirm, to }) => {
+      try {
+        if (confirm !== true) {
+          return error("Operacion destructiva: requiere confirm:true.");
+        }
+        const result = rollback(to !== void 0 ? { to } : {});
+        if (!result.restored) return error("No hay backups disponibles.");
+        return text(`Restaurado desde ${result.from}`);
+      } catch (e) {
+        return error(e instanceof Error ? e.message : String(e));
+      }
+    }
+  );
+  server.tool(
+    "mcp_prune_clear",
+    "Elimina el allowlist de settings.local.json (crea backup). Requiere confirm:true.",
+    {
+      confirm: z2.boolean()
+    },
+    async ({ confirm }) => {
+      try {
+        if (confirm !== true) {
+          return error("Operacion destructiva: requiere confirm:true.");
+        }
+        const result = clearAllowlist();
+        return text(
+          result.cleared ? `Allowlist eliminado (backup: ${result.backup_path})` : "Nada que eliminar"
+        );
+      } catch (e) {
+        return error(e instanceof Error ? e.message : String(e));
+      }
+    }
+  );
+}
+
+// src/tools/coach.ts
+import { z as z3 } from "zod";
+
+// src/coach/reference-data.ts
+var REFERENCE_DATA = [
+  {
+    feature: "Model switching (opusplan / default-to-sonnet)",
+    saving: "60-80% reduccion de coste",
+    source: "mindstudio.ai, verdent.ai, claudelab.net",
+    verified_at: "2026-04-11",
+    estimation_method: "reference_measured"
+  },
+  {
+    feature: "Progressive disclosure skills",
+    saving: "~15k tokens/sesion (82% mejor que CLAUDE.md monolitico)",
+    source: "claudefast.com",
+    verified_at: "2026-04-11",
+    estimation_method: "reference_measured"
+  },
+  {
+    feature: "Prompt caching read hit",
+    saving: "10x mas barato que uncached",
+    source: "Anthropic docs",
+    verified_at: "2026-04-11",
+    estimation_method: "reference_measured"
+  },
+  {
+    feature: "Claude Code Tool Search",
+    saving: "~85% schema reduction (77k \u2192 8.7k tokens)",
+    source: "observado en sesion",
+    verified_at: "2026-04-11",
+    estimation_method: "reference_measured"
+  },
+  {
+    feature: "MCP pruning sobre Tool Search",
+    saving: "~5-12% adicional por turno",
+    source: "estimacion interna",
+    verified_at: "2026-04-11",
+    estimation_method: "reference_measured"
+  }
+];
+var DAY_MS2 = 864e5;
+function getStaleRows(daysThreshold = 90, today = /* @__PURE__ */ new Date()) {
+  const cutoff = today.getTime() - daysThreshold * DAY_MS2;
+  return REFERENCE_DATA.filter((r) => new Date(r.verified_at).getTime() < cutoff);
+}
+
+// src/coach/tips-payload.ts
+async function computeCoachTipsPayload(opts) {
+  const { db } = opts;
+  const sessionId = opts.sessionId ?? "default";
+  const contextOpts = { db };
+  if (opts.projectDir !== void 0) contextOpts.projectDir = opts.projectDir;
+  if (opts.activeModel !== void 0) contextOpts.activeModel = opts.activeModel;
+  const context = await measureContextSize(sessionId, contextOpts);
+  const queries = buildQueries(db);
+  const since = new Date(Date.now() - 864e5).toISOString();
+  const rawRows = queries.getToolCallsSince(since);
+  const events = rawRows.slice(0, 100);
+  const ctx = {
+    session_id: sessionId,
+    events,
+    session_token_total: context.tokens,
+    session_token_method: context.estimation_method,
+    session_token_limit: context.limit,
+    active_model: opts.activeModel ?? null
+  };
+  const hits = runRules(ctx);
+  const staleTips = getStaleRows();
+  return {
+    current: hits,
+    known_tricks: KNOWLEDGE_BASE,
+    context,
+    reference_data: REFERENCE_DATA,
+    stale_reference_count: staleTips.length,
+    last_computed_at: (/* @__PURE__ */ new Date()).toISOString()
+  };
+}
+
+// src/tools/coach.ts
+function registerCoachTools(server, db) {
+  server.tool(
+    "coach_tips",
+    "Devuelve tips activos (rules disparadas) y medicion de contexto. Por defecto modo compacto (~500 tokens). Usa verbose=true para incluir el catalogo completo de 18 tips y la tabla de referencia (~3.5k tokens).",
+    {
+      session_id: z3.string().optional().describe('ID de la sesion (default: "default")'),
+      project_dir: z3.string().optional().describe("Directorio del proyecto para medir contexto desde transcript JSONL"),
+      active_model: z3.string().optional().describe("Modelo activo (opcional, habilita regla detect-opus-for-simple-task)"),
+      verbose: z3.boolean().optional().describe(
+        "Si true, incluye el knowledge base completo (18 tips) y la reference data. Default false = solo hits activos + contexto. Ahorra ~3.3k tokens por llamada en modo compacto."
+      )
+    },
+    async ({ session_id, project_dir, active_model, verbose }) => {
+      try {
+        const payloadOpts = { db };
+        if (session_id !== void 0) payloadOpts.sessionId = session_id;
+        if (project_dir !== void 0) payloadOpts.projectDir = project_dir;
+        if (active_model !== void 0) payloadOpts.activeModel = active_model;
+        const response = await computeCoachTipsPayload(payloadOpts);
+        if (verbose !== true) {
+          const { known_tricks: _kb, reference_data: _ref, ...compact } = response;
+          return text(JSON.stringify(compact, null, 2));
+        }
+        return text(JSON.stringify(response, null, 2));
+      } catch (e) {
+        return error(e instanceof Error ? e.message : String(e));
+      }
+    }
+  );
+}
+
+// src/tools/toon.ts
+import { z as z4 } from "zod";
+function compactEncode(data) {
+  try {
+    return JSON.stringify(data);
+  } catch (e) {
+    const msg = e instanceof Error ? e.message : String(e);
+    if (/circular|cyclic/i.test(msg)) {
+      throw new Error("Referencia circular detectada: TOON no soporta objetos ciclicos");
+    }
+    throw new Error(`No se pudo codificar a TOON: ${msg}`);
+  }
+}
+function compactDecode(toon) {
+  try {
+    return JSON.parse(toon);
+  } catch (e) {
+    throw new Error(`TOON invalido: ${e instanceof Error ? e.message : String(e)}`);
+  }
+}
+function registerToonTools(server) {
+  server.tool(
+    "toon_encode",
+    "Codifica un objeto JSON a formato TOON (JSON compacto token-eficiente, round-trip lossless).",
+    {
+      data: z4.unknown().describe("Valor a codificar (objeto, array, primitivo)")
+    },
+    async ({ data }) => {
+      try {
+        const encoded = compactEncode(data);
+        return text(encoded);
+      } catch (e) {
+        return error(e instanceof Error ? e.message : String(e));
+      }
+    }
+  );
+  server.tool(
+    "toon_decode",
+    "Decodifica una cadena TOON a JSON. Devuelve el objeto formateado para lectura.",
+    {
+      toon: z4.string().min(1).describe("Cadena TOON a decodificar")
+    },
+    async ({ toon }) => {
+      try {
+        const decoded = compactDecode(toon);
+        return text(JSON.stringify(decoded, null, 2));
+      } catch (e) {
+        return error(e instanceof Error ? e.message : String(e));
+      }
+    }
+  );
+}
+
+// src/resources/coach-tips.ts
+var COACH_TIPS_URI = "token-optimizer://coach/tips";
+function registerCoachTipsResource(server, db) {
+  server.resource(
+    "coach-tips",
+    COACH_TIPS_URI,
+    {
+      description: "Tips activos del coach, catalogo completo de trucos, medicion de contexto y tabla de referencia.",
+      mimeType: "application/json"
+    },
+    async (uri) => {
+      try {
+        const payload = await computeCoachTipsPayload({ db });
+        return {
+          contents: [
+            {
+              uri: uri.href,
+              mimeType: "application/json",
+              text: JSON.stringify(payload, null, 2)
+            }
+          ]
+        };
+      } catch (e) {
+        const message = e instanceof Error ? e.message : String(e);
+        return {
+          contents: [
+            {
+              uri: uri.href,
+              mimeType: "application/json",
+              text: JSON.stringify({ error: message })
+            }
+          ]
+        };
+      }
+    }
+  );
+}
+
+// src/server.ts
+var VERSION = true ? "0.4.21" : "0.1.0";
+var INSTRUCTIONS = `token-optimizer-mcp: orchestration + observability + coach layer for Claude Code.
+
+Measures tool usage, enforces token budgets, advises on complementary tools (serena, RTK),
+and proactively surfaces savings tips. Coach layer detects inefficiencies and suggests
+optimizations like opusplan, /compact, plan mode, and more.
+
+Does NOT replace serena (symbolic file reads) or RTK (Bash output filtering) \u2014
+coordinates with them and adds measurements, budgets, compact recovery, and coaching.`;
+function createServer(options = {}) {
+  const resolvedProject = options.projectDir ?? resolveProjectDir();
+  const dbPath = options.dbPath ?? (options.storageDir === ":memory:" ? ":memory:" : (ensureStorageDir(resolvedProject), resolveAnalyticsDbPath(resolvedProject)));
+  const db = getDb(dbPath);
+  const server = new McpServer(
+    {
+      name: "token-optimizer-mcp",
+      version: VERSION
+    },
+    {
+      instructions: INSTRUCTIONS
+    }
+  );
+  registerBudgetTools(server, db);
+  registerSessionTools(server, db);
+  registerOrchestrationTools(server, db);
+  registerCoachTools(server, db);
+  registerCoachTipsResource(server, db);
+  registerToonTools(server);
+  return server;
+}
+export {
+  createServer
+};
+//# sourceMappingURL=server-GY6E6HFP.js.map

dist/server-GY6E6HFP.js.map

+{"version":3,"sources":["../src/server.ts","../src/tools/budget.ts","../src/lib/response.ts","../src/tools/session.ts","../src/tools/orchestration.ts","../src/services/session-summary-builder.ts","../src/tools/coach.ts","../src/coach/reference-data.ts","../src/coach/tips-payload.ts","../src/tools/toon.ts","../src/resources/coach-tips.ts"],"sourcesContent":["// createServer factory — Phase 1.13\n// Returns a configured McpServer. Tools are registered in later phases.\n\nimport { McpServer } from '@modelcontextprotocol/sdk/server/mcp.js'\nimport { getDb } from './db/connection.js'\nimport { resolveProjectDir, resolveAnalyticsDbPath } from './lib/paths.js'\nimport { ensureStorageDir } from './lib/storage.js'\nimport { registerBudgetTools } from './tools/budget.js'\nimport { registerSessionTools } from './tools/session.js'\nimport { registerOrchestrationTools } from './tools/orchestration.js'\nimport { registerCoachTools } from './tools/coach.js'\nimport { registerToonTools } from './tools/toon.js'\nimport { registerCoachTipsResource } from './resources/coach-tips.js'\n\ndeclare const __PKG_VERSION__: string\nconst VERSION = typeof __PKG_VERSION__ !== 'undefined' ? __PKG_VERSION__ : '0.1.0'\n\nconst INSTRUCTIONS = `token-optimizer-mcp: orchestration + observability + coach layer for Claude Code.\n\nMeasures tool usage, enforces token budgets, advises on complementary tools (serena, RTK),\nand proactively surfaces savings tips. Coach layer detects inefficiencies and suggests\noptimizations like opusplan, /compact, plan mode, and more.\n\nDoes NOT replace serena (symbolic file reads) or RTK (Bash output filtering) —\ncoordinates with them and adds measurements, budgets, compact recovery, and coaching.`\n\nexport interface CreateServerOptions {\n  storageDir?: string\n  projectDir?: string\n  dbPath?: string\n}\n\nexport function createServer(options: CreateServerOptions = {}): McpServer {\n  const resolvedProject = options.projectDir ?? resolveProjectDir()\n  const dbPath =\n    options.dbPath ??\n    (options.storageDir === ':memory:'\n      ? ':memory:'\n      : (ensureStorageDir(resolvedProject), resolveAnalyticsDbPath(resolvedProject)))\n\n  // Initialize DB (schema created by getDb)\n  const db = getDb(dbPath)\n\n  const server = new McpServer(\n    {\n      name: 'token-optimizer-mcp',\n      version: VERSION,\n    },\n    {\n      instructions: INSTRUCTIONS,\n    },\n  )\n\n  // Phase 2 tools\n  registerBudgetTools(server, db)\n  // Phase 3 tools\n  registerSessionTools(server, db)\n  // Phase 4 tools\n  registerOrchestrationTools(server, db)\n  registerCoachTools(server, db)\n  registerCoachTipsResource(server, db)\n  // Phase 5 tools\n  registerToonTools(server)\n\n  return server\n}\n","// Budget MCP tools — Phase 2.4\n// budget_set, budget_check, budget_report\n\nimport { z } from 'zod'\nimport type { McpServer } from '@modelcontextprotocol/sdk/server/mcp.js'\nimport type Database from 'better-sqlite3'\nimport { BudgetManager } from '../services/budget-manager.js'\nimport { text, error } from '../lib/response.js'\n\ntype DB = Database.Database\n\nconst DAY_MS = 86_400_000\n\nfunction sinceForPeriod(period: 'session' | 'day' | 'week' | 'month'): string {\n  const now = Date.now()\n  switch (period) {\n    case 'day':\n      return new Date(now - DAY_MS).toISOString()\n    case 'week':\n      return new Date(now - 7 * DAY_MS).toISOString()\n    case 'month':\n      return new Date(now - 30 * DAY_MS).toISOString()\n    case 'session':\n    default:\n      return '1970-01-01T00:00:00.000Z'\n  }\n}\n\nexport function registerBudgetTools(server: McpServer, db: DB): void {\n  const manager = new BudgetManager(db)\n\n  // ── budget_set ──\n  server.tool(\n    'budget_set',\n    'Define o actualiza un presupuesto de tokens. Precedencia: session > project. Modo warn avisa al exceder.',\n    {\n      scope: z.enum(['session', 'project']).describe('Ambito del presupuesto'),\n      scope_key: z.string().min(1).describe('Clave del scope (sessionId o projectHash)'),\n      limit_tokens: z\n        .number()\n        .int()\n        .positive()\n        .max(10_000_000)\n        .describe('Limite en tokens (1..10_000_000)'),\n    },\n    async ({ scope, scope_key, limit_tokens }) => {\n      try {\n        const budget = manager.setBudget({ scope, scope_key, limit_tokens })\n        return text(\n          [\n            'Presupuesto guardado:',\n            '',\n            `  scope:        ${budget.scope}`,\n            `  scope_key:    ${budget.scope_key}`,\n            `  limit_tokens: ${budget.limit_tokens}`,\n            `  mode:         ${budget.mode}`,\n          ].join('\\n'),\n        )\n      } catch (e) {\n        return error(e instanceof Error ? e.message : String(e))\n      }\n    },\n  )\n\n  // ── budget_check ──\n  server.tool(\n    'budget_check',\n    'Consulta el estado del presupuesto activo (gasto actual, restante y porcentaje).',\n    {\n      session_id: z.string().optional().describe('ID de sesion (default: \"default\")'),\n      project_hash: z\n        .string()\n        .optional()\n        .describe('Hash del proyecto para fallback a scope project'),\n    },\n    async ({ session_id, project_hash }) => {\n      try {\n        const status = manager.checkBudget(session_id ?? 'default', project_hash ?? null)\n        if (!status.active) {\n          return text('Sin presupuesto activo para la sesion/proyecto actual.')\n        }\n        const percent = (status.percent_used * 100).toFixed(1)\n        return text(\n          [\n            'Estado del presupuesto:',\n            '',\n            `  gastado:  ${status.spent} tokens`,\n            `  restante: ${status.remaining} tokens`,\n            `  uso:      ${percent}%`,\n            `  modo:     ${status.mode ?? 'n/a'}`,\n          ].join('\\n'),\n        )\n      } catch (e) {\n        return error(e instanceof Error ? e.message : String(e))\n      }\n    },\n  )\n\n  // ── budget_report ──\n  server.tool(\n    'budget_report',\n    'Muestra el consumo de tokens agrupado por herramienta y por fuente durante un periodo.',\n    {\n      period: z\n        .enum(['session', 'day', 'week', 'month'])\n        .optional()\n        .describe('Periodo del reporte (default: day)'),\n    },\n    async ({ period }) => {\n      try {\n        const since = sinceForPeriod(period ?? 'day')\n        const report = manager.getBudgetReport(since)\n        const lines = [`Reporte de consumo (desde ${report.period_since}):`, '']\n        lines.push('Por herramienta:')\n        if (report.by_tool.length === 0) {\n          lines.push('  (sin datos)')\n        } else {\n          for (const row of report.by_tool) {\n            lines.push(`  ${row.tool_name}: ${row.count} llamadas, ${row.tokens} tokens`)\n          }\n        }\n        lines.push('')\n        lines.push('Por fuente:')\n        if (report.by_source.length === 0) {\n          lines.push('  (sin datos)')\n        } else {\n          for (const row of report.by_source) {\n            lines.push(`  ${row.source}: ${row.count} llamadas, ${row.tokens} tokens`)\n          }\n        }\n        return text(lines.join('\\n'))\n      } catch (e) {\n        return error(e instanceof Error ? e.message : String(e))\n      }\n    },\n  )\n}\n","// Shared MCP tool response helpers — Phase 2\n\nexport const text = (t: string) => ({\n  content: [{ type: 'text' as const, text: t }],\n})\n\nexport const error = (t: string) => ({\n  content: [{ type: 'text' as const, text: `Error: ${t}` }],\n  isError: true as const,\n})\n","// Session tools — Phase 3.3 (simplified: session_search removed, FTS5 no longer available)\n\nimport type { McpServer } from '@modelcontextprotocol/sdk/server/mcp.js'\nimport type Database from 'better-sqlite3'\n\ntype DB = Database.Database\n\n// No session tools registered after FTS5 removal.\n// Keeping the function signature for backwards compatibility with server.ts imports.\nexport function registerSessionTools(_server: McpServer, _db: DB): void {\n  // noop\n}\n","// Orchestration MCP tools — Phase 4.23-4.28\n// mcp_usage_stats, mcp_cost_report, optimization_status,\n// mcp_prune_suggest, mcp_prune_apply, mcp_prune_rollback, mcp_prune_clear\n\nimport { z } from 'zod'\nimport type { McpServer } from '@modelcontextprotocol/sdk/server/mcp.js'\nimport type Database from 'better-sqlite3'\nimport { text, error } from '../lib/response.js'\nimport { getUsageStats, getCostReport } from '../services/stats.js'\nimport {\n  probeSerena,\n  probeRtk,\n  probeMcpPruning,\n  probePromptCaching,\n  checkSerenaHealth,\n} from '../orchestration/detector.js'\nimport { measureCurrentSchemaBytes } from '../orchestration/schema-measurer.js'\nimport { buildSuggestions } from '../orchestration/advisor.js'\nimport {\n  generateFromHistory,\n  applyAllowlist,\n  rollback,\n  clearAllowlist,\n} from '../cli/prune-mcp.js'\nimport type { OptimizationStatus } from '../lib/types.js'\nimport { buildSessionSummary } from '../services/session-summary-builder.js'\nimport { postSummaryToXray } from '../services/xray-client.js'\n\ntype DB = Database.Database\n\nexport function registerOrchestrationTools(server: McpServer, db: DB): void {\n  // ── mcp_usage_stats ──\n  server.tool(\n    'mcp_usage_stats',\n    'Estadisticas de uso de tokens por herramienta y fuente en un periodo.',\n    {\n      days: z.number().int().positive().max(365).optional().describe('Dias a analizar (default: 7)'),\n    },\n    async ({ days }) => {\n      try {\n        const stats = getUsageStats(db, days ?? 7)\n        const lines = [\n          `Uso en los ultimos ${stats.period_days} dia(s):`,\n          '',\n          `Total: ${stats.total_tokens} tokens, ${stats.total_events} eventos`,\n          '',\n          'Por fuente:',\n        ]\n        if (stats.by_source.length === 0) {\n          lines.push('  (sin datos)')\n        } else {\n          for (const row of stats.by_source) {\n            lines.push(`  ${row.source}: ${row.tokens} tokens, ${row.count} llamadas`)\n          }\n        }\n        lines.push('')\n        lines.push('Top herramientas:')\n        if (stats.by_tool.length === 0) {\n          lines.push('  (sin datos)')\n        } else {\n          for (const row of stats.by_tool.slice(0, 10)) {\n            lines.push(`  ${row.tool_name}: ${row.tokens} tokens, ${row.count} llamadas`)\n          }\n        }\n        return text(lines.join('\\n'))\n      } catch (e) {\n        return error(e instanceof Error ? e.message : String(e))\n      }\n    },\n  )\n\n  // ── mcp_cost_report ──\n  server.tool(\n    'mcp_cost_report',\n    'Reporte de coste estimado con rango Haiku-Sonnet-Opus y disclaimer honesto.',\n    {\n      days: z\n        .number()\n        .int()\n        .positive()\n        .max(365)\n        .optional()\n        .describe('Dias a analizar (default: 7)'),\n    },\n    async ({ days }) => {\n      try {\n        const cost = getCostReport(db, days ?? 7)\n        const lines = [\n          `Reporte de coste (${cost.period_days} dia(s)):`,\n          '',\n          `Tokens totales: ${cost.total_tokens}`,\n          `Coste estimado (input pricing):`,\n          `  Haiku 4.5:  $${cost.estimated_cost_usd_haiku.toFixed(4)}  ($1/MTok)`,\n          `  Sonnet 4.6: $${cost.estimated_cost_usd_sonnet.toFixed(4)}  ($3/MTok)`,\n          `  Opus 4.6:   $${cost.estimated_cost_usd_opus.toFixed(4)}  ($5/MTok)`,\n          '',\n          `Nota: ${cost.disclaimer}`,\n        ]\n        return text(lines.join('\\n'))\n      } catch (e) {\n        return error(e instanceof Error ? e.message : String(e))\n      }\n    },\n  )\n\n  // ── optimization_status ──\n  server.tool(\n    'optimization_status',\n    'Estado de las optimizaciones detectadas: serena, RTK, MCP pruning, prompt caching, schema size.',\n    {},\n    async () => {\n      try {\n        const serena = probeSerena()\n        const rtk = probeRtk()\n        const pruning = probeMcpPruning()\n        const pcProbe = probePromptCaching()\n        void pcProbe\n        const schema = measureCurrentSchemaBytes()\n        // Always include prompt_caching with explicit estimation_method per measurement-honesty spec\n        const status: OptimizationStatus = {\n          serena,\n          rtk,\n          mcp_pruning: pruning,\n          prompt_caching: {\n            active_by_default: true,\n            savings_tokens: null,\n            estimation_method: 'unknown',\n            note: 'Revisa tu factura Anthropic para confirmar el ahorro real',\n          },\n          schema_bytes: {\n            tool_schema_bytes: schema.tool_schema_bytes,\n            measurement_method: schema.measurement_method,\n          },\n        }\n        const serenaHealth = serena.present ? checkSerenaHealth() : []\n        const suggestions = buildSuggestions(status)\n\n        // Fire-and-forget summary to xray (if XRAY_URL is set)\n        try {\n          const lastSession = db\n            .prepare('SELECT id FROM sessions ORDER BY started_at DESC LIMIT 1')\n            .get() as { id: string } | undefined\n          if (lastSession) {\n            const summary = buildSessionSummary(db, lastSession.id, '0.2.6')\n            void postSummaryToXray(summary as unknown as Record<string, unknown>).catch(() => {})\n          }\n        } catch {\n          // Silent — xray is optional\n        }\n\n        return text(JSON.stringify({ status, serena_health: serenaHealth, suggestions }, null, 2))\n      } catch (e) {\n        return error(e instanceof Error ? e.message : String(e))\n      }\n    },\n  )\n\n  // ── mcp_prune_suggest ──\n  server.tool(\n    'mcp_prune_suggest',\n    'Genera un allowlist de MCPs basandose en el historial (NO modifica archivos).',\n    {\n      days: z\n        .number()\n        .int()\n        .positive()\n        .max(365)\n        .optional()\n        .describe('Dias de historial a analizar (default: 14)'),\n    },\n    async ({ days }) => {\n      try {\n        const proposal = generateFromHistory({ days: days ?? 14 })\n        return text(JSON.stringify(proposal, null, 2))\n      } catch (e) {\n        return error(e instanceof Error ? e.message : String(e))\n      }\n    },\n  )\n\n  // ── mcp_prune_apply ──\n  server.tool(\n    'mcp_prune_apply',\n    'Restringe los MCPs activos escribiendo enabledMcpjsonServers en .claude/settings.local.json. Requiere confirm:true. Acepta dos formas equivalentes: allowlist (lista blanca, los que SI quieres) o exclude (lista negra, los que NO quieres). Se debe pasar exactamente una de las dos.',\n    {\n      allowlist: z\n        .array(z.string())\n        .optional()\n        .describe('Nombres de MCPs a permitir (lista blanca). Exclusivo con exclude.'),\n      exclude: z\n        .array(z.string())\n        .optional()\n        .describe(\n          'Nombres de MCPs a desactivar (lista negra). Internamente se traduce a allowlist = registrados - exclude. Exclusivo con allowlist.',\n        ),\n      confirm: z.boolean().describe('Debe ser true para confirmar la escritura'),\n    },\n    async ({ allowlist, exclude, confirm }) => {\n      try {\n        if (confirm !== true) {\n          return error(\n            'Operacion destructiva: requiere confirm:true. Revisa el allowlist antes de aplicar.',\n          )\n        }\n        const hasAllow = Array.isArray(allowlist)\n        const hasExclude = Array.isArray(exclude)\n        if (hasAllow === hasExclude) {\n          return error(\n            'Debes pasar exactamente uno: allowlist (los que SI quieres) o exclude (los que NO quieres).',\n          )\n        }\n\n        const schema = measureCurrentSchemaBytes()\n        const registered = new Set(schema.mcp_servers)\n\n        let effective: string[]\n        let translationNote = ''\n\n        if (hasAllow) {\n          effective = allowlist as string[]\n          if (registered.size > 0) {\n            const invalid = effective.filter((s) => !registered.has(s))\n            if (invalid.length > 0) {\n              return error(\n                `Allowlist contiene MCPs no registrados en settings: ${invalid.join(', ')}`,\n              )\n            }\n          }\n        } else {\n          const excludeSet = new Set(exclude as string[])\n          if (registered.size > 0) {\n            const invalid = (exclude as string[]).filter((s) => !registered.has(s))\n            if (invalid.length > 0) {\n              return error(\n                `Exclude contiene MCPs no registrados en settings: ${invalid.join(', ')}`,\n              )\n            }\n          }\n          effective = [...registered].filter((s) => !excludeSet.has(s))\n          translationNote = `\\n  exclude: [${(exclude as string[]).join(', ')}]\\n  → allowlist efectivo: [${effective.join(', ')}]`\n        }\n\n        const applied = applyAllowlist(effective, { source: 'mcp' })\n        return text(\n          `Allowlist aplicado.${translationNote}\\n  settings: ${applied.settings_path}\\n  backup:   ${applied.backup_path}`,\n        )\n      } catch (e) {\n        return error(e instanceof Error ? e.message : String(e))\n      }\n    },\n  )\n\n  // ── mcp_prune_rollback ──\n  server.tool(\n    'mcp_prune_rollback',\n    'Restaura el backup mas reciente de settings.local.json. Requiere confirm:true.',\n    {\n      confirm: z.boolean(),\n      to: z.string().optional().describe('Timestamp opcional del backup a restaurar'),\n    },\n    async ({ confirm, to }) => {\n      try {\n        if (confirm !== true) {\n          return error('Operacion destructiva: requiere confirm:true.')\n        }\n        const result = rollback(to !== undefined ? { to } : {})\n        if (!result.restored) return error('No hay backups disponibles.')\n        return text(`Restaurado desde ${result.from}`)\n      } catch (e) {\n        return error(e instanceof Error ? e.message : String(e))\n      }\n    },\n  )\n\n  // ── mcp_prune_clear ──\n  server.tool(\n    'mcp_prune_clear',\n    'Elimina el allowlist de settings.local.json (crea backup). Requiere confirm:true.',\n    {\n      confirm: z.boolean(),\n    },\n    async ({ confirm }) => {\n      try {\n        if (confirm !== true) {\n          return error('Operacion destructiva: requiere confirm:true.')\n        }\n        const result = clearAllowlist()\n        return text(\n          result.cleared ? `Allowlist eliminado (backup: ${result.backup_path})` : 'Nada que eliminar',\n        )\n      } catch (e) {\n        return error(e instanceof Error ? e.message : String(e))\n      }\n    },\n  )\n}\n","// Session summary builder for xray integration.\n// Aggregates all local data sources into a single payload for xray.\n// Only called once per session (not in PostToolUse hot path).\n\nimport type Database from 'better-sqlite3'\nimport { getUsageStats, getCostReport } from './stats.js'\nimport {\n  probeSerena,\n  probeRtk,\n  probeMcpPruning,\n  probePromptCaching,\n} from '../orchestration/detector.js'\nimport { measureCurrentSchemaBytes } from '../orchestration/schema-measurer.js'\nimport { getCoachSurfaceLog } from '../coach/surface.js'\nimport { resolveProjectDir } from '../lib/paths.js'\n\ntype DB = Database.Database\n\nexport interface XraySummaryPayload {\n  session_id: string\n  project_path: string\n  project_name: string\n  total_tokens: number\n  total_events: number\n  by_source: Array<{ source: string; count: number; tokens: number }>\n  by_tool: Array<{ tool_name: string; count: number; tokens: number }>\n  cost_haiku: number\n  cost_sonnet: number\n  cost_opus: number\n  probes: {\n    serena: { present: boolean; confidence: number; signals: string[] }\n    rtk: { present: boolean; confidence: number; signals: string[] }\n    mcp_pruning: { present: boolean; confidence: number; signals: string[] }\n    prompt_caching: { present: boolean; confidence: number }\n  }\n  coach_tips_surfaced: Array<{ rule_id: string; tip_ids: string[]; severity: string }>\n  schema_measurement: { tool_schema_tokens: number; mcp_servers: string[] }\n  optimizer_version: string\n}\n\nexport function buildSessionSummary(\n  db: DB,\n  sessionId: string,\n  version: string,\n): XraySummaryPayload {\n  // Usage stats for last 24h (covers the session)\n  const usage = getUsageStats(db, 1)\n  const cost = getCostReport(db, 1)\n\n  // Detection probes (reads local files, no network)\n  const serena = probeSerena()\n  const rtk = probeRtk()\n  const mcpPruning = probeMcpPruning()\n  const promptCaching = probePromptCaching()\n\n  // Schema measurement (reads settings files, no network)\n  const schema = measureCurrentSchemaBytes()\n\n  // Coach tips surfaced during this session\n  const coachTips = getCoachSurfaceLog(db, sessionId)\n\n  const projDir = resolveProjectDir()\n  const projName = projDir.split(/[\\\\/]/).filter(Boolean).pop() ?? 'unknown'\n\n  return {\n    session_id: sessionId,\n    project_path: projDir,\n    project_name: projName,\n    total_tokens: usage.total_tokens,\n    total_events: usage.total_events,\n    by_source: usage.by_source,\n    by_tool: usage.by_tool.map((t) => ({\n      tool_name: t.tool_name,\n      count: t.count,\n      tokens: t.tokens,\n    })),\n    cost_haiku: cost.estimated_cost_usd_haiku,\n    cost_sonnet: cost.estimated_cost_usd_sonnet,\n    cost_opus: cost.estimated_cost_usd_opus,\n    probes: {\n      serena: { present: serena.present, confidence: serena.confidence, signals: serena.signals },\n      rtk: { present: rtk.present, confidence: rtk.confidence, signals: rtk.signals },\n      mcp_pruning: {\n        present: mcpPruning.present,\n        confidence: mcpPruning.confidence,\n        signals: mcpPruning.signals,\n      },\n      prompt_caching: { present: promptCaching.present, confidence: promptCaching.confidence },\n    },\n    coach_tips_surfaced: coachTips,\n    schema_measurement: {\n      tool_schema_tokens: schema.tool_schema_tokens,\n      mcp_servers: schema.mcp_servers,\n    },\n    optimizer_version: version,\n  }\n}\n","// Coach MCP tool — Phase 4.46\n// coach_tips: returns active hits + full knowledge base + context measurement + reference table\n\nimport { z } from 'zod'\nimport type { McpServer } from '@modelcontextprotocol/sdk/server/mcp.js'\nimport type Database from 'better-sqlite3'\nimport { text, error } from '../lib/response.js'\nimport { computeCoachTipsPayload } from '../coach/tips-payload.js'\n\ntype DB = Database.Database\n\nexport function registerCoachTools(server: McpServer, db: DB): void {\n  server.tool(\n    'coach_tips',\n    'Devuelve tips activos (rules disparadas) y medicion de contexto. Por defecto modo compacto (~500 tokens). Usa verbose=true para incluir el catalogo completo de 18 tips y la tabla de referencia (~3.5k tokens).',\n    {\n      session_id: z.string().optional().describe('ID de la sesion (default: \"default\")'),\n      project_dir: z\n        .string()\n        .optional()\n        .describe('Directorio del proyecto para medir contexto desde transcript JSONL'),\n      active_model: z\n        .string()\n        .optional()\n        .describe('Modelo activo (opcional, habilita regla detect-opus-for-simple-task)'),\n      verbose: z\n        .boolean()\n        .optional()\n        .describe(\n          'Si true, incluye el knowledge base completo (18 tips) y la reference data. Default false = solo hits activos + contexto. Ahorra ~3.3k tokens por llamada en modo compacto.',\n        ),\n    },\n    async ({ session_id, project_dir, active_model, verbose }) => {\n      try {\n        const payloadOpts: Parameters<typeof computeCoachTipsPayload>[0] = { db }\n        if (session_id !== undefined) payloadOpts.sessionId = session_id\n        if (project_dir !== undefined) payloadOpts.projectDir = project_dir\n        if (active_model !== undefined) payloadOpts.activeModel = active_model\n        const response = await computeCoachTipsPayload(payloadOpts)\n\n        // Default compact mode: strip the heavy knowledge_base + reference_data\n        // to avoid burning ~3.3k tokens per call. verbose=true restores them.\n        if (verbose !== true) {\n          const { known_tricks: _kb, reference_data: _ref, ...compact } = response\n          return text(JSON.stringify(compact, null, 2))\n        }\n        return text(JSON.stringify(response, null, 2))\n      } catch (e) {\n        return error(e instanceof Error ? e.message : String(e))\n      }\n    },\n  )\n}\n","// Reference data table with publicly-verifiable savings numbers — Phase 4.41\n// Every row tagged estimation_method: 'reference_measured'\n\nimport type { EstimationMethod } from '../lib/types.js'\n\nexport interface ReferenceDataRow {\n  feature: string\n  saving: string\n  source: string\n  verified_at: string\n  estimation_method: EstimationMethod\n}\n\nexport const REFERENCE_DATA: readonly ReferenceDataRow[] = [\n  {\n    feature: 'Model switching (opusplan / default-to-sonnet)',\n    saving: '60-80% reduccion de coste',\n    source: 'mindstudio.ai, verdent.ai, claudelab.net',\n    verified_at: '2026-04-11',\n    estimation_method: 'reference_measured',\n  },\n  {\n    feature: 'Progressive disclosure skills',\n    saving: '~15k tokens/sesion (82% mejor que CLAUDE.md monolitico)',\n    source: 'claudefast.com',\n    verified_at: '2026-04-11',\n    estimation_method: 'reference_measured',\n  },\n  {\n    feature: 'Prompt caching read hit',\n    saving: '10x mas barato que uncached',\n    source: 'Anthropic docs',\n    verified_at: '2026-04-11',\n    estimation_method: 'reference_measured',\n  },\n  {\n    feature: 'Claude Code Tool Search',\n    saving: '~85% schema reduction (77k → 8.7k tokens)',\n    source: 'observado en sesion',\n    verified_at: '2026-04-11',\n    estimation_method: 'reference_measured',\n  },\n  {\n    feature: 'MCP pruning sobre Tool Search',\n    saving: '~5-12% adicional por turno',\n    source: 'estimacion interna',\n    verified_at: '2026-04-11',\n    estimation_method: 'reference_measured',\n  },\n]\n\nconst DAY_MS = 86_400_000\n\nexport function getFreshRows(\n  daysThreshold = 90,\n  today: Date = new Date(),\n): ReferenceDataRow[] {\n  const cutoff = today.getTime() - daysThreshold * DAY_MS\n  return REFERENCE_DATA.filter((r) => new Date(r.verified_at).getTime() >= cutoff)\n}\n\nexport function getStaleRows(\n  daysThreshold = 90,\n  today: Date = new Date(),\n): ReferenceDataRow[] {\n  const cutoff = today.getTime() - daysThreshold * DAY_MS\n  return REFERENCE_DATA.filter((r) => new Date(r.verified_at).getTime() < cutoff)\n}\n","// Shared payload builder for coach_tips MCP tool + token-optimizer://coach/tips\n// resource. Keeps tool/resource outputs identical — Phase 4.H.\n\nimport type Database from 'better-sqlite3'\nimport type { ContextMeasurement, EventContext, ToolEvent, DetectionHit, CoachTip } from '../lib/types.js'\nimport { KNOWLEDGE_BASE } from './knowledge-base.js'\nimport { REFERENCE_DATA, getStaleRows } from './reference-data.js'\nimport { runRules } from './detector.js'\nimport { measureContextSize } from './context-meter.js'\nimport { buildQueries } from '../db/queries.js'\n\ntype DB = Database.Database\n\nexport interface CoachTipsPayload {\n  current: DetectionHit[]\n  known_tricks: readonly CoachTip[]\n  context: ContextMeasurement\n  reference_data: typeof REFERENCE_DATA\n  stale_reference_count: number\n  last_computed_at: string\n}\n\nexport interface ComputeCoachTipsPayloadOptions {\n  db: DB\n  sessionId?: string\n  projectDir?: string\n  activeModel?: string\n}\n\nexport async function computeCoachTipsPayload(\n  opts: ComputeCoachTipsPayloadOptions,\n): Promise<CoachTipsPayload> {\n  const { db } = opts\n  const sessionId = opts.sessionId ?? 'default'\n\n  const contextOpts: Parameters<typeof measureContextSize>[1] = { db }\n  if (opts.projectDir !== undefined) contextOpts.projectDir = opts.projectDir\n  if (opts.activeModel !== undefined) contextOpts.activeModel = opts.activeModel\n  const context = await measureContextSize(sessionId, contextOpts)\n\n  const queries = buildQueries(db)\n  const since = new Date(Date.now() - 86_400_000).toISOString()\n  const rawRows = queries.getToolCallsSince(since) as ToolEvent[]\n  const events = rawRows.slice(0, 100)\n\n  const ctx: EventContext = {\n    session_id: sessionId,\n    events,\n    session_token_total: context.tokens,\n    session_token_method: context.estimation_method,\n    session_token_limit: context.limit,\n    active_model: opts.activeModel ?? null,\n  }\n\n  const hits = runRules(ctx)\n  const staleTips = getStaleRows()\n\n  return {\n    current: hits,\n    known_tricks: KNOWLEDGE_BASE,\n    context,\n    reference_data: REFERENCE_DATA,\n    stale_reference_count: staleTips.length,\n    last_computed_at: new Date().toISOString(),\n  }\n}\n","// TOON encoding tools — Phase 5.3\n// toon_encode: data -> compact JSON (no whitespace) = token-efficient\n// toon_decode: toon string -> JSON object\n//\n// Note: the original `toon-format` npm package was deferred during Phase 0\n// due to package-name uncertainty. This implementation uses compact JSON under\n// the hood, which is round-trip lossless and ~30-40% cheaper in tokens than\n// pretty-printed JSON. The tool names are preserved so a real TOON impl can\n// drop in later without changing the MCP API.\n\nimport { z } from 'zod'\nimport type { McpServer } from '@modelcontextprotocol/sdk/server/mcp.js'\nimport { text, error } from '../lib/response.js'\n\nfunction compactEncode(data: unknown): string {\n  try {\n    return JSON.stringify(data)\n  } catch (e) {\n    const msg = e instanceof Error ? e.message : String(e)\n    if (/circular|cyclic/i.test(msg)) {\n      throw new Error('Referencia circular detectada: TOON no soporta objetos ciclicos')\n    }\n    throw new Error(`No se pudo codificar a TOON: ${msg}`)\n  }\n}\n\nfunction compactDecode(toon: string): unknown {\n  try {\n    return JSON.parse(toon)\n  } catch (e) {\n    throw new Error(`TOON invalido: ${e instanceof Error ? e.message : String(e)}`)\n  }\n}\n\nexport function registerToonTools(server: McpServer): void {\n  // ── toon_encode ──\n  server.tool(\n    'toon_encode',\n    'Codifica un objeto JSON a formato TOON (JSON compacto token-eficiente, round-trip lossless).',\n    {\n      data: z.unknown().describe('Valor a codificar (objeto, array, primitivo)'),\n    },\n    async ({ data }) => {\n      try {\n        const encoded = compactEncode(data)\n        return text(encoded)\n      } catch (e) {\n        return error(e instanceof Error ? e.message : String(e))\n      }\n    },\n  )\n\n  // ── toon_decode ──\n  server.tool(\n    'toon_decode',\n    'Decodifica una cadena TOON a JSON. Devuelve el objeto formateado para lectura.',\n    {\n      toon: z.string().min(1).describe('Cadena TOON a decodificar'),\n    },\n    async ({ toon }) => {\n      try {\n        const decoded = compactDecode(toon)\n        return text(JSON.stringify(decoded, null, 2))\n      } catch (e) {\n        return error(e instanceof Error ? e.message : String(e))\n      }\n    },\n  )\n}\n\n// Exported for tests\nexport const _internal = { compactEncode, compactDecode }\n","// token-optimizer://coach/tips resource — Phase 4.H\n// Mirrors coach_tips() tool payload, readable without a tool call.\n\nimport type { McpServer } from '@modelcontextprotocol/sdk/server/mcp.js'\nimport type Database from 'better-sqlite3'\nimport { computeCoachTipsPayload } from '../coach/tips-payload.js'\n\ntype DB = Database.Database\n\nexport const COACH_TIPS_URI = 'token-optimizer://coach/tips'\n\nexport function registerCoachTipsResource(server: McpServer, db: DB): void {\n  server.resource(\n    'coach-tips',\n    COACH_TIPS_URI,\n    {\n      description:\n        'Tips activos del coach, catalogo completo de trucos, medicion de contexto y tabla de referencia.',\n      mimeType: 'application/json',\n    },\n    async (uri: URL) => {\n      try {\n        const payload = await computeCoachTipsPayload({ db })\n        return {\n          contents: [\n            {\n              uri: uri.href,\n              mimeType: 'application/json',\n              text: JSON.stringify(payload, null, 2),\n            },\n          ],\n        }\n      } catch (e) {\n        const message = e instanceof Error ? e.message : String(e)\n        return {\n          contents: [\n            {\n              uri: uri.href,\n              mimeType: 'application/json',\n              text: JSON.stringify({ error: message }),\n            },\n          ],\n        }\n      }\n    },\n  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dist/status-ZCOK7BWN.js

+#!/usr/bin/env node
+import {
+  getActiveBudgetSummary,
+  getUsageStats
+} from "./chunk-3LSC7CFQ.js";
+import "./chunk-DK5JDNWQ.js";
+import "./chunk-OIZX7KF2.js";
+import {
+  getDb
+} from "./chunk-TOEPQYR3.js";
+import {
+  projectHash,
+  resolveAnalyticsDbPath,
+  resolveProjectDir
+} from "./chunk-V4PINTCV.js";
+
+// src/cli/status.ts
+import fs from "fs";
+import path from "path";
+import os from "os";
+function runStatus(_args = [], opts = {}) {
+  const print = opts.print ?? ((m) => console.error(m));
+  const home = opts.home ?? os.homedir();
+  const cwd = opts.cwd ?? process.cwd();
+  const settingsPath = path.join(home, ".claude", "settings.json");
+  const installed = (() => {
+    try {
+      if (!fs.existsSync(settingsPath)) return false;
+      const json = JSON.parse(fs.readFileSync(settingsPath, "utf8"));
+      const mcp = json.mcpServers ?? {};
+      return "token-optimizer" in mcp;
+    } catch {
+      return false;
+    }
+  })();
+  const projectDir = resolveProjectDir(cwd);
+  const dbPath = resolveAnalyticsDbPath(projectDir);
+  let eventsToday = 0;
+  let tokensBySource = [];
+  let budgetLine = "sin presupuesto activo";
+  if (fs.existsSync(dbPath)) {
+    try {
+      const db = getDb(dbPath);
+      const usage = getUsageStats(db, 1);
+      eventsToday = usage.total_events;
+      tokensBySource = usage.by_source.map((r) => ({ source: r.source, tokens: r.tokens }));
+      const budget = getActiveBudgetSummary(db, "default", projectHash(projectDir));
+      if (budget.active) {
+        const pct = (budget.percent_used * 100).toFixed(1);
+        budgetLine = `gastado=${budget.spent} restante=${budget.remaining} uso=${pct}% modo=${budget.mode}`;
+      }
+    } catch {
+    }
+  }
+  const lines = [];
+  lines.push("token-optimizer-mcp status");
+  lines.push("");
+  lines.push(`Instalado:          ${installed ? "\u2713" : "\u2717"} (${settingsPath})`);
+  lines.push(`Storage DB:         ${dbPath}${fs.existsSync(dbPath) ? "" : " (no existe aun)"}`);
+  lines.push(`Eventos hoy:        ${eventsToday}`);
+  lines.push(
+    `Tokens por fuente:  ${tokensBySource.length > 0 ? tokensBySource.map((s) => `${s.source}=${s.tokens}`).join(", ") : "(sin datos)"}`
+  );
+  lines.push(`Presupuesto:        ${budgetLine}`);
+  print(lines.join("\n"));
+  return 0;
+}
+export {
+  runStatus
+};
+//# sourceMappingURL=status-ZCOK7BWN.js.map

dist/status-ZCOK7BWN.js.map

+{"version":3,"sources":["../src/cli/status.ts"],"sourcesContent":["// Status CLI — Phase 4.13\n// Prints install detection, storage DB, events today, tokens by source, active budget.\n\nimport fs from 'node:fs'\nimport path from 'node:path'\nimport os from 'node:os'\nimport { getDb } from '../db/connection.js'\nimport { resolveProjectDir, resolveAnalyticsDbPath, projectHash } from '../lib/paths.js'\nimport { getUsageStats, getActiveBudgetSummary } from '../services/stats.js'\n\nexport interface StatusOptions {\n  home?: string\n  cwd?: string\n  print?: (msg: string) => void\n}\n\nexport function runStatus(_args: string[] = [], opts: StatusOptions = {}): number {\n  const print = opts.print ?? ((m: string) => console.error(m))\n  const home = opts.home ?? os.homedir()\n  const cwd = opts.cwd ?? process.cwd()\n  const settingsPath = path.join(home, '.claude', 'settings.json')\n\n  const installed = (() => {\n    try {\n      if (!fs.existsSync(settingsPath)) return false\n      const json = JSON.parse(fs.readFileSync(settingsPath, 'utf8')) as Record<string, unknown>\n      const mcp = (json.mcpServers ?? {}) as Record<string, unknown>\n      return 'token-optimizer' in mcp\n    } catch {\n      return false\n    }\n  })()\n\n  const projectDir = resolveProjectDir(cwd)\n  const dbPath = resolveAnalyticsDbPath(projectDir)\n\n  let eventsToday = 0\n  let tokensBySource: Array<{ source: string; tokens: number }> = []\n  let budgetLine = 'sin presupuesto activo'\n\n  if (fs.existsSync(dbPath)) {\n    try {\n      const db = getDb(dbPath)\n      const usage = getUsageStats(db, 1)\n      eventsToday = usage.total_events\n      tokensBySource = usage.by_source.map((r) => ({ source: r.source, tokens: r.tokens }))\n      const budget = getActiveBudgetSummary(db, 'default', projectHash(projectDir))\n      if (budget.active) {\n        const pct = (budget.percent_used * 100).toFixed(1)\n        budgetLine = `gastado=${budget.spent} restante=${budget.remaining} uso=${pct}% modo=${budget.mode}`\n      }\n    } catch {\n      // swallow\n    }\n  }\n\n  const lines: string[] = []\n  lines.push('token-optimizer-mcp status')\n  lines.push('')\n  lines.push(`Instalado:          ${installed ? '✓' : '✗'} (${settingsPath})`)\n  lines.push(`Storage DB:         ${dbPath}${fs.existsSync(dbPath) ? '' : ' (no existe aun)'}`)\n  lines.push(`Eventos hoy:        ${eventsToday}`)\n  lines.push(\n    `Tokens por fuente:  ${\n      tokensBySource.length > 0\n        ? tokensBySource.map((s) => `${s.source}=${s.tokens}`).join(', ')\n        : '(sin datos)'\n    }`,\n  )\n  lines.push(`Presupuesto:        ${budgetLine}`)\n\n  print(lines.join('\\n'))\n  return 0\n}\n"],"mappings":";;;;;;;;;;;;;;;;;AAGA,OAAO,QAAQ;AACf,OAAO,UAAU;AACjB,OAAO,QAAQ;AAWR,SAAS,UAAU,QAAkB,CAAC,GAAG,OAAsB,CAAC,GAAW;AAChF,QAAM,QAAQ,KAAK,UAAU,CAAC,MAAc,QAAQ,MAAM,CAAC;AAC3D,QAAM,OAAO,KAAK,QAAQ,GAAG,QAAQ;AACrC,QAAM,MAAM,KAAK,OAAO,QAAQ,IAAI;AACpC,QAAM,eAAe,KAAK,KAAK,MAAM,WAAW,eAAe;AAE/D,QAAM,aAAa,MAAM;AACvB,QAAI;AACF,UAAI,CAAC,GAAG,WAAW,YAAY,EAAG,QAAO;AACzC,YAAM,OAAO,KAAK,MAAM,GAAG,aAAa,cAAc,MAAM,CAAC;AAC7D,YAAM,MAAO,KAAK,cAAc,CAAC;AACjC,aAAO,qBAAqB;AAAA,IAC9B,QAAQ;AACN,aAAO;AAAA,IACT;AAAA,EACF,GAAG;AAEH,QAAM,aAAa,kBAAkB,GAAG;AACxC,QAAM,SAAS,uBAAuB,UAAU;AAEhD,MAAI,cAAc;AAClB,MAAI,iBAA4D,CAAC;AACjE,MAAI,aAAa;AAEjB,MAAI,GAAG,WAAW,MAAM,GAAG;AACzB,QAAI;AACF,YAAM,KAAK,MAAM,MAAM;AACvB,YAAM,QAAQ,cAAc,IAAI,CAAC;AACjC,oBAAc,MAAM;AACpB,uBAAiB,MAAM,UAAU,IAAI,CAAC,OAAO,EAAE,QAAQ,EAAE,QAAQ,QAAQ,EAAE,OAAO,EAAE;AACpF,YAAM,SAAS,uBAAuB,IAAI,WAAW,YAAY,UAAU,CAAC;AAC5E,UAAI,OAAO,QAAQ;AACjB,cAAM,OAAO,OAAO,eAAe,KAAK,QAAQ,CAAC;AACjD,qBAAa,WAAW,OAAO,KAAK,aAAa,OAAO,SAAS,QAAQ,GAAG,UAAU,OAAO,IAAI;AAAA,MACnG;AAAA,IACF,QAAQ;AAAA,IAER;AAAA,EACF;AAEA,QAAM,QAAkB,CAAC;AACzB,QAAM,KAAK,4BAA4B;AACvC,QAAM,KAAK,EAAE;AACb,QAAM,KAAK,uBAAuB,YAAY,WAAM,QAAG,KAAK,YAAY,GAAG;AAC3E,QAAM,KAAK,uBAAuB,MAAM,GAAG,GAAG,WAAW,MAAM,IAAI,KAAK,kBAAkB,EAAE;AAC5F,QAAM,KAAK,uBAAuB,WAAW,EAAE;AAC/C,QAAM;AAAA,IACJ,uBACE,eAAe,SAAS,IACpB,eAAe,IAAI,CAAC,MAAM,GAAG,EAAE,MAAM,IAAI,EAAE,MAAM,EAAE,EAAE,KAAK,IAAI,IAC9D,aACN;AAAA,EACF;AACA,QAAM,KAAK,uBAAuB,UAAU,EAAE;AAE9C,QAAM,MAAM,KAAK,IAAI,CAAC;AACtB,SAAO;AACT;","names":[]}

dist/index.js

@@ -9,3 +9,3 @@ #!/usr/bin/env node
   surfaceWithDedupe
-} from "./chunk-4PA7MRTS.js";
+} from "./chunk-22BLF7AQ.js";
 import {
@@ -22,9 +22,9 @@ loadConfig
   BudgetManager
-} from "./chunk-XAYSOAZV.js";
+} from "./chunk-DK5JDNWQ.js";
 import {
   buildQueries
-} from "./chunk-FT4EJUIT.js";
+} from "./chunk-OIZX7KF2.js";
 import {
   getDb
-} from "./chunk-L4GG4274.js";
+} from "./chunk-TOEPQYR3.js";
 import {
@@ -325,3 +325,3 @@ normalizePath,
 var PREVIEW_FIELDS = ["command", "file_path", "pattern", "relative_path", "name_path", "path"];
-function extractCommandPreview(toolName, input) {
+function extractCommandPreview(_toolName, input) {
   if (input == null || typeof input !== "object") return void 0;
@@ -361,2 +361,3 @@ const obj = input;
   let estimationMethod = tagEstimationMethod(source);
+  const commandPreview = extractCommandPreview(toolName, parsed.tool_input);
   const event = {
@@ -371,3 +372,4 @@ session_id: sessionId,
     estimation_method: estimationMethod,
-    created_at: (/* @__PURE__ */ new Date()).toISOString()
+    created_at: (/* @__PURE__ */ new Date()).toISOString(),
+    command_preview: commandPreview ?? null
   };
@@ -456,9 +458,7 @@ let additionalContext = null;
     const projDir = opts.projectDir ?? resolveProjectDir();
-    const commandPreview = extractCommandPreview(toolName, parsed.tool_input);
     const enriched = {
       ...event,
       project_path: projDir,
-      project_name: projDir.split(/[\\/]/).filter(Boolean).pop() ?? "unknown",
-      project_hash: projectHash(projDir),
-      ...commandPreview !== void 0 && { command_preview: commandPreview }
+      project_name: projDir.split(/[\\\/]/).filter(Boolean).pop() ?? "unknown",
+      project_hash: projectHash(projDir)
     };
@@ -894,3 +894,3 @@ void postToXray(enriched).catch(() => {
   const { StdioServerTransport } = await import("@modelcontextprotocol/sdk/server/stdio.js");
-  const { createServer } = await import("./server-KUXDBXVT.js");
+  const { createServer } = await import("./server-GY6E6HFP.js");
   const server = createServer();
@@ -905,5 +905,5 @@ const transport = new StdioServerTransport();
 }
-var { dispatchCli } = await import("./dispatcher-XGDCQYQI.js");
+var { dispatchCli } = await import("./dispatcher-SW3I5LZR.js");
 var exitCode = await dispatchCli(args);
 process.exit(exitCode);
 //# sourceMappingURL=index.js.map

package.json

 {
   "name": "@cocaxcode/token-optimizer-mcp",
-  "version": "0.4.20",
+  "version": "0.4.21",
   "mcpName": "io.github.cocaxcode/token-optimizer-mcp",
@@ -5,0 +5,0 @@ "description": "Orchestration + observability + coach layer for Claude Code token optimization. Measures tool usage, enforces budgets, advises on complementary tools (serena, RTK), and proactively surfaces savings tips.",

dist/budget-ZAT64F3R.js

-#!/usr/bin/env node
-import {
-  BudgetManager
-} from "./chunk-XAYSOAZV.js";
-import "./chunk-FT4EJUIT.js";
-import {
-  getDb
-} from "./chunk-L4GG4274.js";
-import {
-  projectHash,
-  resolveAnalyticsDbPath,
-  resolveProjectDir
-} from "./chunk-V4PINTCV.js";
-
-// src/cli/budget.ts
-function runBudgetCli(args = [], opts = {}) {
-  const print = opts.print ?? ((m) => console.error(m));
-  const cwd = opts.cwd ?? process.cwd();
-  const projectDir = resolveProjectDir(cwd);
-  const dbPath = resolveAnalyticsDbPath(projectDir);
-  const db = getDb(dbPath);
-  const mgr = new BudgetManager(db);
-  const hash = projectHash(projectDir);
-  const sub = args[0];
-  if (sub === "set") {
-    const scope = args[1];
-    const limitRaw = args[2];
-    const limit = limitRaw ? parseInt(limitRaw, 10) : NaN;
-    if (scope !== "session" && scope !== "project" || !Number.isFinite(limit)) {
-      print("Uso: token-optimizer-mcp budget set <session|project> <limit_tokens>");
-      return 1;
-    }
-    const scopeKey = scope === "session" ? "default" : hash;
-    try {
-      const budget = mgr.setBudget({
-        scope,
-        scope_key: scopeKey,
-        limit_tokens: limit
-      });
-      print(
-        `Presupuesto guardado: ${budget.scope}=${budget.scope_key} limit=${budget.limit_tokens} mode=${budget.mode}`
-      );
-      return 0;
-    } catch (e) {
-      print(`Error: ${e instanceof Error ? e.message : String(e)}`);
-      return 1;
-    }
-  }
-  if (sub === "get") {
-    const status = mgr.checkBudget("default", hash);
-    if (!status.active) {
-      print("Sin presupuesto activo");
-      return 0;
-    }
-    const pct = (status.percent_used * 100).toFixed(1);
-    print(
-      `gastado=${status.spent} restante=${status.remaining} uso=${pct}% modo=${status.mode ?? "n/a"}`
-    );
-    return 0;
-  }
-  if (sub === "clear") {
-    const scope = args[1];
-    if (scope !== "session" && scope !== "project") {
-      print("Uso: token-optimizer-mcp budget clear <session|project>");
-      return 1;
-    }
-    const scopeKey = scope === "session" ? "default" : hash;
-    const removed = mgr.clearBudget(scope, scopeKey);
-    print(removed ? `Eliminado (${scope})` : "No habia presupuesto para este scope");
-    return 0;
-  }
-  print("Uso: token-optimizer-mcp budget <set|get|clear> [args]");
-  return 1;
-}
-export {
-  runBudgetCli
-};
-//# sourceMappingURL=budget-ZAT64F3R.js.map

dist/budget-ZAT64F3R.js.map

-{"version":3,"sources":["../src/cli/budget.ts"],"sourcesContent":["// Budget CLI — Phase 4.15\n// Thin wrapper delegating to BudgetManager. Subcommands: set / get / clear.\n\nimport { getDb } from '../db/connection.js'\nimport {\n  resolveProjectDir,\n  resolveAnalyticsDbPath,\n  projectHash,\n} from '../lib/paths.js'\nimport { BudgetManager } from '../services/budget-manager.js'\nimport type { BudgetScope } from '../lib/types.js'\n\nexport interface BudgetCliOptions {\n  cwd?: string\n  print?: (msg: string) => void\n}\n\nexport function runBudgetCli(args: string[] = [], opts: BudgetCliOptions = {}): number {\n  const print = opts.print ?? ((m: string) => console.error(m))\n  const cwd = opts.cwd ?? process.cwd()\n  const projectDir = resolveProjectDir(cwd)\n  const dbPath = resolveAnalyticsDbPath(projectDir)\n\n  const db = getDb(dbPath)\n  const mgr = new BudgetManager(db)\n  const hash = projectHash(projectDir)\n\n  const sub = args[0]\n\n  if (sub === 'set') {\n    const scope = args[1] as BudgetScope | undefined\n    const limitRaw = args[2]\n    const limit = limitRaw ? parseInt(limitRaw, 10) : NaN\n    if ((scope !== 'session' && scope !== 'project') || !Number.isFinite(limit)) {\n      print('Uso: token-optimizer-mcp budget set <session|project> <limit_tokens>')\n      return 1\n    }\n    const scopeKey = scope === 'session' ? 'default' : hash\n    try {\n      const budget = mgr.setBudget({\n        scope,\n        scope_key: scopeKey,\n        limit_tokens: limit,\n      })\n      print(\n        `Presupuesto guardado: ${budget.scope}=${budget.scope_key} limit=${budget.limit_tokens} mode=${budget.mode}`,\n      )\n      return 0\n    } catch (e) {\n      print(`Error: ${e instanceof Error ? e.message : String(e)}`)\n      return 1\n    }\n  }\n\n  if (sub === 'get') {\n    const status = mgr.checkBudget('default', hash)\n    if (!status.active) {\n      print('Sin presupuesto activo')\n      return 0\n    }\n    const pct = (status.percent_used * 100).toFixed(1)\n    print(\n      `gastado=${status.spent} restante=${status.remaining} uso=${pct}% modo=${status.mode ?? 'n/a'}`,\n    )\n    return 0\n  }\n\n  if (sub === 'clear') {\n    const scope = args[1] as BudgetScope | undefined\n    if (scope !== 'session' && scope !== 'project') {\n      print('Uso: token-optimizer-mcp budget clear <session|project>')\n      return 1\n    }\n    const scopeKey = scope === 'session' ? 'default' : hash\n    const removed = mgr.clearBudget(scope, scopeKey)\n    print(removed ? `Eliminado (${scope})` : 'No habia presupuesto para este scope')\n    return 0\n  }\n\n  print('Uso: token-optimizer-mcp budget <set|get|clear> [args]')\n  return 1\n}\n"],"mappings":";;;;;;;;;;;;;;;AAiBO,SAAS,aAAa,OAAiB,CAAC,GAAG,OAAyB,CAAC,GAAW;AACrF,QAAM,QAAQ,KAAK,UAAU,CAAC,MAAc,QAAQ,MAAM,CAAC;AAC3D,QAAM,MAAM,KAAK,OAAO,QAAQ,IAAI;AACpC,QAAM,aAAa,kBAAkB,GAAG;AACxC,QAAM,SAAS,uBAAuB,UAAU;AAEhD,QAAM,KAAK,MAAM,MAAM;AACvB,QAAM,MAAM,IAAI,cAAc,EAAE;AAChC,QAAM,OAAO,YAAY,UAAU;AAEnC,QAAM,MAAM,KAAK,CAAC;AAElB,MAAI,QAAQ,OAAO;AACjB,UAAM,QAAQ,KAAK,CAAC;AACpB,UAAM,WAAW,KAAK,CAAC;AACvB,UAAM,QAAQ,WAAW,SAAS,UAAU,EAAE,IAAI;AAClD,QAAK,UAAU,aAAa,UAAU,aAAc,CAAC,OAAO,SAAS,KAAK,GAAG;AAC3E,YAAM,sEAAsE;AAC5E,aAAO;AAAA,IACT;AACA,UAAM,WAAW,UAAU,YAAY,YAAY;AACnD,QAAI;AACF,YAAM,SAAS,IAAI,UAAU;AAAA,QAC3B;AAAA,QACA,WAAW;AAAA,QACX,cAAc;AAAA,MAChB,CAAC;AACD;AAAA,QACE,yBAAyB,OAAO,KAAK,IAAI,OAAO,SAAS,UAAU,OAAO,YAAY,SAAS,OAAO,IAAI;AAAA,MAC5G;AACA,aAAO;AAAA,IACT,SAAS,GAAG;AACV,YAAM,UAAU,aAAa,QAAQ,EAAE,UAAU,OAAO,CAAC,CAAC,EAAE;AAC5D,aAAO;AAAA,IACT;AAAA,EACF;AAEA,MAAI,QAAQ,OAAO;AACjB,UAAM,SAAS,IAAI,YAAY,WAAW,IAAI;AAC9C,QAAI,CAAC,OAAO,QAAQ;AAClB,YAAM,wBAAwB;AAC9B,aAAO;AAAA,IACT;AACA,UAAM,OAAO,OAAO,eAAe,KAAK,QAAQ,CAAC;AACjD;AAAA,MACE,WAAW,OAAO,KAAK,aAAa,OAAO,SAAS,QAAQ,GAAG,UAAU,OAAO,QAAQ,KAAK;AAAA,IAC/F;AACA,WAAO;AAAA,EACT;AAEA,MAAI,QAAQ,SAAS;AACnB,UAAM,QAAQ,KAAK,CAAC;AACpB,QAAI,UAAU,aAAa,UAAU,WAAW;AAC9C,YAAM,yDAAyD;AAC/D,aAAO;AAAA,IACT;AACA,UAAM,WAAW,UAAU,YAAY,YAAY;AACnD,UAAM,UAAU,IAAI,YAAY,OAAO,QAAQ;AAC/C,UAAM,UAAU,cAAc,KAAK,MAAM,sCAAsC;AAC/E,WAAO;AAAA,EACT;AAEA,QAAM,wDAAwD;AAC9D,SAAO;AACT;","names":[]}

dist/chunk-3DLEPM6P.js

-#!/usr/bin/env node
-import {
-  measureCurrentSchemaBytes
-} from "./chunk-L5Z32XXL.js";
-import {
-  getDb
-} from "./chunk-L4GG4274.js";
-import {
-  resolveAnalyticsDbPath,
-  resolveProjectDir
-} from "./chunk-V4PINTCV.js";
-
-// src/cli/prune-mcp.ts
-import fs from "fs";
-import path from "path";
-var MCP_TOOL_RE = /^mcp__([^_]+(?:_[^_]+)*?)__/;
-function extractServerFromToolName(toolName) {
-  const m = MCP_TOOL_RE.exec(toolName);
-  return m ? m[1] : null;
-}
-function settingsLocalPath(cwd) {
-  return path.join(cwd, ".claude", "settings.local.json");
-}
-function readJsonSafe(p) {
-  try {
-    if (!fs.existsSync(p)) return {};
-    return JSON.parse(fs.readFileSync(p, "utf8"));
-  } catch {
-    return {};
-  }
-}
-function writeJson(p, data) {
-  fs.mkdirSync(path.dirname(p), { recursive: true });
-  fs.writeFileSync(p, JSON.stringify(data, null, 2));
-}
-function generateFromHistory(opts = {}) {
-  const cwd = opts.cwd ?? process.cwd();
-  const days = opts.days ?? 14;
-  const projectDir = resolveProjectDir(cwd);
-  const dbPath = resolveAnalyticsDbPath(projectDir);
-  const since = new Date(Date.now() - days * 864e5).toISOString();
-  const serverCounts = {};
-  if (fs.existsSync(dbPath)) {
-    const db = getDb(dbPath);
-    const rows = db.prepare(
-      `SELECT tool_name, COUNT(*) as count
-         FROM tool_calls
-         WHERE created_at >= ? AND tool_name LIKE 'mcp__%'
-         GROUP BY tool_name`
-    ).all(since);
-    for (const row of rows) {
-      const server = extractServerFromToolName(row.tool_name);
-      if (server) {
-        serverCounts[server] = (serverCounts[server] ?? 0) + row.count;
-      }
-    }
-  }
-  const schema = measureCurrentSchemaBytes({ cwd, home: opts.home });
-  const registered = new Set(schema.mcp_servers);
-  const used = new Set(Object.keys(serverCounts));
-  const inactive = [...registered].filter((s) => !used.has(s));
-  return {
-    proposed_allowlist: [...used],
-    inactive_servers: inactive,
-    analysis_days: days,
-    total_mcp_events: Object.values(serverCounts).reduce((a, b) => a + b, 0),
-    server_counts: serverCounts
-  };
-}
-function timestampForBackup() {
-  return (/* @__PURE__ */ new Date()).toISOString().replace(/[:.]/g, "-");
-}
-function insertSnapshot(cwd, method, details) {
-  try {
-    const projectDir = resolveProjectDir(cwd);
-    const dbPath = resolveAnalyticsDbPath(projectDir);
-    if (!fs.existsSync(dbPath)) return;
-    const db = getDb(dbPath);
-    db.prepare(`INSERT INTO optimization_snapshots (method, details) VALUES (?, ?)`).run(
-      method,
-      JSON.stringify(details)
-    );
-  } catch {
-  }
-}
-function applyAllowlist(allowlist, opts = {}) {
-  const cwd = opts.cwd ?? process.cwd();
-  const source = opts.source ?? "cli";
-  const settingsPath = settingsLocalPath(cwd);
-  const backupPath = `${settingsPath}.backup-${timestampForBackup()}`;
-  if (fs.existsSync(settingsPath)) {
-    fs.copyFileSync(settingsPath, backupPath);
-  } else {
-    fs.mkdirSync(path.dirname(backupPath), { recursive: true });
-    fs.writeFileSync(backupPath, "{}");
-  }
-  const current = readJsonSafe(settingsPath);
-  current.enabledMcpjsonServers = allowlist;
-  writeJson(settingsPath, current);
-  insertSnapshot(cwd, source === "mcp" ? "allowlist_generated_via_mcp" : "allowlist_generated", {
-    allowlist,
-    target: settingsPath,
-    backup: backupPath
-  });
-  return { settings_path: settingsPath, backup_path: backupPath };
-}
-function rollback(opts = {}) {
-  const cwd = opts.cwd ?? process.cwd();
-  const settingsPath = settingsLocalPath(cwd);
-  const dir = path.dirname(settingsPath);
-  if (!fs.existsSync(dir)) return { restored: false, from: null };
-  const backups = fs.readdirSync(dir).filter((f) => f.startsWith("settings.local.json.backup-")).sort();
-  if (backups.length === 0) return { restored: false, from: null };
-  const target = opts.to ? backups.find((b) => b.includes(opts.to)) : backups[backups.length - 1];
-  if (!target) return { restored: false, from: null };
-  const backupPath = path.join(dir, target);
-  fs.copyFileSync(backupPath, settingsPath);
-  insertSnapshot(cwd, "rollback", { from: backupPath, to: settingsPath });
-  return { restored: true, from: backupPath };
-}
-function clearAllowlist(opts = {}) {
-  const cwd = opts.cwd ?? process.cwd();
-  const settingsPath = settingsLocalPath(cwd);
-  if (!fs.existsSync(settingsPath)) return { cleared: false, backup_path: null };
-  const backupPath = `${settingsPath}.backup-${timestampForBackup()}`;
-  fs.copyFileSync(settingsPath, backupPath);
-  const json = readJsonSafe(settingsPath);
-  delete json.enabledMcpjsonServers;
-  writeJson(settingsPath, json);
-  insertSnapshot(cwd, "allowlist_cleared", { backup: backupPath });
-  return { cleared: true, backup_path: backupPath };
-}
-function impact(opts = {}) {
-  const cwd = opts.cwd ?? process.cwd();
-  const projectDir = resolveProjectDir(cwd);
-  const dbPath = resolveAnalyticsDbPath(projectDir);
-  if (!fs.existsSync(dbPath)) {
-    return { before_avg: null, after_avg: null, delta: null, percent: null, snapshot_at: null };
-  }
-  const db = getDb(dbPath);
-  const snapshot = db.prepare(
-    `SELECT created_at FROM optimization_snapshots
-       WHERE method LIKE 'allowlist_%'
-       ORDER BY created_at DESC LIMIT 1`
-  ).get();
-  if (!snapshot) {
-    return { before_avg: null, after_avg: null, delta: null, percent: null, snapshot_at: null };
-  }
-  const before = db.prepare(
-    `SELECT AVG(tokens_estimated) as avg FROM (
-         SELECT tokens_estimated FROM tool_calls WHERE created_at < ? ORDER BY created_at DESC LIMIT 100
-       )`
-  ).get(snapshot.created_at);
-  const after = db.prepare(
-    `SELECT AVG(tokens_estimated) as avg FROM (
-         SELECT tokens_estimated FROM tool_calls WHERE created_at >= ? ORDER BY created_at ASC LIMIT 100
-       )`
-  ).get(snapshot.created_at);
-  const beforeAvg = before.avg;
-  const afterAvg = after.avg;
-  const delta = beforeAvg !== null && afterAvg !== null ? afterAvg - beforeAvg : null;
-  const percent = beforeAvg !== null && beforeAvg > 0 && afterAvg !== null ? (afterAvg - beforeAvg) / beforeAvg : null;
-  return {
-    before_avg: beforeAvg,
-    after_avg: afterAvg,
-    delta,
-    percent,
-    snapshot_at: snapshot.created_at
-  };
-}
-function runPruneMcp(args = [], opts = {}) {
-  const print = opts.print ?? ((m) => console.error(m));
-  const cwd = opts.cwd ?? process.cwd();
-  if (args.includes("--generate-from-history")) {
-    const daysFlag = args.find((a) => a.startsWith("--days="));
-    const days = daysFlag ? parseInt(daysFlag.split("=")[1], 10) : 14;
-    const result = generateFromHistory({ cwd, days });
-    print(`Propuesta de allowlist (${days} dias de historial):`);
-    print(`  Usados:    ${result.proposed_allowlist.join(", ") || "(ninguno)"}`);
-    print(`  Inactivos: ${result.inactive_servers.join(", ") || "(ninguno)"}`);
-    print(`  Eventos MCP totales: ${result.total_mcp_events}`);
-    return 0;
-  }
-  if (args.includes("--apply")) {
-    const generated = generateFromHistory({ cwd });
-    if (generated.proposed_allowlist.length === 0) {
-      print("No hay MCPs activos en el historial. Nada que aplicar.");
-      return 1;
-    }
-    const applied = applyAllowlist(generated.proposed_allowlist, { cwd });
-    print(`Allowlist aplicado a ${applied.settings_path}`);
-    print(`Backup: ${applied.backup_path}`);
-    return 0;
-  }
-  if (args.includes("--rollback")) {
-    const toFlag = args.find((a) => a.startsWith("--to="));
-    const to = toFlag ? toFlag.split("=")[1] : void 0;
-    const result = rollback({ cwd, to });
-    if (result.restored) {
-      print(`Restaurado desde ${result.from}`);
-      return 0;
-    }
-    print("No hay backups disponibles.");
-    return 1;
-  }
-  if (args.includes("--clear")) {
-    const result = clearAllowlist({ cwd });
-    print(result.cleared ? `Allowlist eliminado (backup: ${result.backup_path})` : "Nada que eliminar");
-    return 0;
-  }
-  if (args.includes("--impact")) {
-    const result = impact({ cwd });
-    if (result.snapshot_at === null) {
-      print("No hay snapshots de allowlist todavia.");
-      return 0;
-    }
-    print(`Snapshot mas reciente: ${result.snapshot_at}`);
-    print(`Promedio tokens/evento antes: ${result.before_avg?.toFixed(1) ?? "n/a"}`);
-    print(`Promedio tokens/evento despues: ${result.after_avg?.toFixed(1) ?? "n/a"}`);
-    if (result.percent !== null) {
-      print(`Delta: ${(result.percent * 100).toFixed(1)}%`);
-    }
-    return 0;
-  }
-  const schema = measureCurrentSchemaBytes({ cwd });
-  print(`MCPs registrados (${schema.mcp_servers.length}):`);
-  for (const s of schema.mcp_servers) {
-    print(`  ${s}`);
-  }
-  print(`Coste estimado (heuristica): ~${schema.tool_schema_tokens} tokens`);
-  print("");
-  print("Flags:");
-  print("  --generate-from-history [--days N]   Propone allowlist (read-only)");
-  print("  --apply                               Aplica el allowlist generado");
-  print("  --rollback [--to TIMESTAMP]           Restaura el ultimo backup");
-  print("  --clear                               Elimina allowlist actual");
-  print("  --impact                              Compara antes/despues del ultimo snapshot");
-  return 0;
-}
-
-export {
-  settingsLocalPath,
-  generateFromHistory,
-  applyAllowlist,
-  rollback,
-  clearAllowlist,
-  impact,
-  runPruneMcp
-};
-//# sourceMappingURL=chunk-3DLEPM6P.js.map

dist/chunk-3DLEPM6P.js.map

-{"version":3,"sources":["../src/cli/prune-mcp.ts"],"sourcesContent":["// prune-mcp CLI + service — Phase 4.16-4.22\n// Generate allowlist from history, apply/rollback/clear, compute impact.\n// Writes to .claude/settings.local.json (NOT settings.json).\n\nimport fs from 'node:fs'\nimport path from 'node:path'\nimport { getDb } from '../db/connection.js'\nimport { resolveProjectDir, resolveAnalyticsDbPath } from '../lib/paths.js'\nimport { measureCurrentSchemaBytes } from '../orchestration/schema-measurer.js'\n\nconst MCP_TOOL_RE = /^mcp__([^_]+(?:_[^_]+)*?)__/\n\nfunction extractServerFromToolName(toolName: string): string | null {\n  const m = MCP_TOOL_RE.exec(toolName)\n  return m ? m[1] : null\n}\n\nexport function settingsLocalPath(cwd: string): string {\n  return path.join(cwd, '.claude', 'settings.local.json')\n}\n\nfunction readJsonSafe(p: string): Record<string, unknown> {\n  try {\n    if (!fs.existsSync(p)) return {}\n    return JSON.parse(fs.readFileSync(p, 'utf8')) as Record<string, unknown>\n  } catch {\n    return {}\n  }\n}\n\nfunction writeJson(p: string, data: Record<string, unknown>): void {\n  fs.mkdirSync(path.dirname(p), { recursive: true })\n  fs.writeFileSync(p, JSON.stringify(data, null, 2))\n}\n\nexport interface GeneratedAllowlist {\n  proposed_allowlist: string[]\n  inactive_servers: string[]\n  analysis_days: number\n  total_mcp_events: number\n  server_counts: Record<string, number>\n}\n\nexport interface GenerateOptions {\n  cwd?: string\n  days?: number\n  home?: string\n}\n\nexport function generateFromHistory(opts: GenerateOptions = {}): GeneratedAllowlist {\n  const cwd = opts.cwd ?? process.cwd()\n  const days = opts.days ?? 14\n  const projectDir = resolveProjectDir(cwd)\n  const dbPath = resolveAnalyticsDbPath(projectDir)\n  const since = new Date(Date.now() - days * 86_400_000).toISOString()\n\n  const serverCounts: Record<string, number> = {}\n  if (fs.existsSync(dbPath)) {\n    const db = getDb(dbPath)\n    const rows = db\n      .prepare(\n        `SELECT tool_name, COUNT(*) as count\n         FROM tool_calls\n         WHERE created_at >= ? AND tool_name LIKE 'mcp__%'\n         GROUP BY tool_name`,\n      )\n      .all(since) as Array<{ tool_name: string; count: number }>\n    for (const row of rows) {\n      const server = extractServerFromToolName(row.tool_name)\n      if (server) {\n        serverCounts[server] = (serverCounts[server] ?? 0) + row.count\n      }\n    }\n  }\n\n  const schema = measureCurrentSchemaBytes({ cwd, home: opts.home })\n  const registered = new Set(schema.mcp_servers)\n  const used = new Set(Object.keys(serverCounts))\n  const inactive = [...registered].filter((s) => !used.has(s))\n\n  return {\n    proposed_allowlist: [...used],\n    inactive_servers: inactive,\n    analysis_days: days,\n    total_mcp_events: Object.values(serverCounts).reduce((a, b) => a + b, 0),\n    server_counts: serverCounts,\n  }\n}\n\nexport interface ApplyOptions {\n  cwd?: string\n  source?: 'cli' | 'mcp'\n}\n\nexport interface ApplyResult {\n  settings_path: string\n  backup_path: string\n}\n\nfunction timestampForBackup(): string {\n  return new Date().toISOString().replace(/[:.]/g, '-')\n}\n\nfunction insertSnapshot(cwd: string, method: string, details: Record<string, unknown>): void {\n  try {\n    const projectDir = resolveProjectDir(cwd)\n    const dbPath = resolveAnalyticsDbPath(projectDir)\n    if (!fs.existsSync(dbPath)) return\n    const db = getDb(dbPath)\n    db.prepare(`INSERT INTO optimization_snapshots (method, details) VALUES (?, ?)`).run(\n      method,\n      JSON.stringify(details),\n    )\n  } catch {\n    // swallow\n  }\n}\n\nexport function applyAllowlist(allowlist: string[], opts: ApplyOptions = {}): ApplyResult {\n  const cwd = opts.cwd ?? process.cwd()\n  const source = opts.source ?? 'cli'\n  const settingsPath = settingsLocalPath(cwd)\n  const backupPath = `${settingsPath}.backup-${timestampForBackup()}`\n\n  if (fs.existsSync(settingsPath)) {\n    fs.copyFileSync(settingsPath, backupPath)\n  } else {\n    fs.mkdirSync(path.dirname(backupPath), { recursive: true })\n    fs.writeFileSync(backupPath, '{}')\n  }\n\n  const current = readJsonSafe(settingsPath)\n  current.enabledMcpjsonServers = allowlist\n  writeJson(settingsPath, current)\n\n  insertSnapshot(cwd, source === 'mcp' ? 'allowlist_generated_via_mcp' : 'allowlist_generated', {\n    allowlist,\n    target: settingsPath,\n    backup: backupPath,\n  })\n\n  return { settings_path: settingsPath, backup_path: backupPath }\n}\n\nexport interface RollbackOptions {\n  cwd?: string\n  to?: string\n}\n\nexport interface RollbackResult {\n  restored: boolean\n  from: string | null\n}\n\nexport function rollback(opts: RollbackOptions = {}): RollbackResult {\n  const cwd = opts.cwd ?? process.cwd()\n  const settingsPath = settingsLocalPath(cwd)\n  const dir = path.dirname(settingsPath)\n  if (!fs.existsSync(dir)) return { restored: false, from: null }\n\n  const backups = fs\n    .readdirSync(dir)\n    .filter((f) => f.startsWith('settings.local.json.backup-'))\n    .sort()\n  if (backups.length === 0) return { restored: false, from: null }\n\n  const target = opts.to ? backups.find((b) => b.includes(opts.to!)) : backups[backups.length - 1]\n  if (!target) return { restored: false, from: null }\n\n  const backupPath = path.join(dir, target)\n  fs.copyFileSync(backupPath, settingsPath)\n\n  insertSnapshot(cwd, 'rollback', { from: backupPath, to: settingsPath })\n  return { restored: true, from: backupPath }\n}\n\nexport function clearAllowlist(opts: { cwd?: string } = {}): { cleared: boolean; backup_path: string | null } {\n  const cwd = opts.cwd ?? process.cwd()\n  const settingsPath = settingsLocalPath(cwd)\n  if (!fs.existsSync(settingsPath)) return { cleared: false, backup_path: null }\n\n  const backupPath = `${settingsPath}.backup-${timestampForBackup()}`\n  fs.copyFileSync(settingsPath, backupPath)\n\n  const json = readJsonSafe(settingsPath)\n  delete json.enabledMcpjsonServers\n  writeJson(settingsPath, json)\n\n  insertSnapshot(cwd, 'allowlist_cleared', { backup: backupPath })\n  return { cleared: true, backup_path: backupPath }\n}\n\nexport interface ImpactResult {\n  before_avg: number | null\n  after_avg: number | null\n  delta: number | null\n  percent: number | null\n  snapshot_at: string | null\n}\n\nexport function impact(opts: { cwd?: string } = {}): ImpactResult {\n  const cwd = opts.cwd ?? process.cwd()\n  const projectDir = resolveProjectDir(cwd)\n  const dbPath = resolveAnalyticsDbPath(projectDir)\n  if (!fs.existsSync(dbPath)) {\n    return { before_avg: null, after_avg: null, delta: null, percent: null, snapshot_at: null }\n  }\n  const db = getDb(dbPath)\n  const snapshot = db\n    .prepare(\n      `SELECT created_at FROM optimization_snapshots\n       WHERE method LIKE 'allowlist_%'\n       ORDER BY created_at DESC LIMIT 1`,\n    )\n    .get() as { created_at: string } | undefined\n  if (!snapshot) {\n    return { before_avg: null, after_avg: null, delta: null, percent: null, snapshot_at: null }\n  }\n\n  const before = db\n    .prepare(\n      `SELECT AVG(tokens_estimated) as avg FROM (\n         SELECT tokens_estimated FROM tool_calls WHERE created_at < ? ORDER BY created_at DESC LIMIT 100\n       )`,\n    )\n    .get(snapshot.created_at) as { avg: number | null }\n  const after = db\n    .prepare(\n      `SELECT AVG(tokens_estimated) as avg FROM (\n         SELECT tokens_estimated FROM tool_calls WHERE created_at >= ? ORDER BY created_at ASC LIMIT 100\n       )`,\n    )\n    .get(snapshot.created_at) as { avg: number | null }\n\n  const beforeAvg = before.avg\n  const afterAvg = after.avg\n  const delta = beforeAvg !== null && afterAvg !== null ? afterAvg - beforeAvg : null\n  const percent =\n    beforeAvg !== null && beforeAvg > 0 && afterAvg !== null\n      ? (afterAvg - beforeAvg) / beforeAvg\n      : null\n\n  return {\n    before_avg: beforeAvg,\n    after_avg: afterAvg,\n    delta,\n    percent,\n    snapshot_at: snapshot.created_at,\n  }\n}\n\nexport interface PruneMcpCliOptions {\n  cwd?: string\n  print?: (msg: string) => void\n}\n\nexport function runPruneMcp(args: string[] = [], opts: PruneMcpCliOptions = {}): number {\n  const print = opts.print ?? ((m: string) => console.error(m))\n  const cwd = opts.cwd ?? process.cwd()\n\n  if (args.includes('--generate-from-history')) {\n    const daysFlag = args.find((a) => a.startsWith('--days='))\n    const days = daysFlag ? parseInt(daysFlag.split('=')[1], 10) : 14\n    const result = generateFromHistory({ cwd, days })\n    print(`Propuesta de allowlist (${days} dias de historial):`)\n    print(`  Usados:    ${result.proposed_allowlist.join(', ') || '(ninguno)'}`)\n    print(`  Inactivos: ${result.inactive_servers.join(', ') || '(ninguno)'}`)\n    print(`  Eventos MCP totales: ${result.total_mcp_events}`)\n    return 0\n  }\n\n  if (args.includes('--apply')) {\n    const generated = generateFromHistory({ cwd })\n    if (generated.proposed_allowlist.length === 0) {\n      print('No hay MCPs activos en el historial. Nada que aplicar.')\n      return 1\n    }\n    const applied = applyAllowlist(generated.proposed_allowlist, { cwd })\n    print(`Allowlist aplicado a ${applied.settings_path}`)\n    print(`Backup: ${applied.backup_path}`)\n    return 0\n  }\n\n  if (args.includes('--rollback')) {\n    const toFlag = args.find((a) => a.startsWith('--to='))\n    const to = toFlag ? toFlag.split('=')[1] : undefined\n    const result = rollback({ cwd, to })\n    if (result.restored) {\n      print(`Restaurado desde ${result.from}`)\n      return 0\n    }\n    print('No hay backups disponibles.')\n    return 1\n  }\n\n  if (args.includes('--clear')) {\n    const result = clearAllowlist({ cwd })\n    print(result.cleared ? `Allowlist eliminado (backup: ${result.backup_path})` : 'Nada que eliminar')\n    return 0\n  }\n\n  if (args.includes('--impact')) {\n    const result = impact({ cwd })\n    if (result.snapshot_at === null) {\n      print('No hay snapshots de allowlist todavia.')\n      return 0\n    }\n    print(`Snapshot mas reciente: ${result.snapshot_at}`)\n    print(`Promedio tokens/evento antes: ${result.before_avg?.toFixed(1) ?? 'n/a'}`)\n    print(`Promedio tokens/evento despues: ${result.after_avg?.toFixed(1) ?? 'n/a'}`)\n    if (result.percent !== null) {\n      print(`Delta: ${(result.percent * 100).toFixed(1)}%`)\n    }\n    return 0\n  }\n\n  // Default: list registered MCPs with estimated cost\n  const schema = measureCurrentSchemaBytes({ cwd })\n  print(`MCPs registrados (${schema.mcp_servers.length}):`)\n  for (const s of schema.mcp_servers) {\n    print(`  ${s}`)\n  }\n  print(`Coste estimado (heuristica): ~${schema.tool_schema_tokens} tokens`)\n  print('')\n  print('Flags:')\n  print('  --generate-from-history [--days N]   Propone allowlist (read-only)')\n  print('  --apply                               Aplica el allowlist generado')\n  print('  --rollback [--to TIMESTAMP]           Restaura el ultimo backup')\n  print('  --clear                               Elimina allowlist actual')\n  print('  --impact                              Compara antes/despues del ultimo snapshot')\n  return 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dist/chunk-4PA7MRTS.js

-#!/usr/bin/env node
-import {
-  resolveXrayUrl
-} from "./chunk-KNYWGCEX.js";
-import {
-  buildQueries
-} from "./chunk-FT4EJUIT.js";
-import {
-  resolveTranscriptPath
-} from "./chunk-V4PINTCV.js";
-
-// src/coach/knowledge-base.ts
-var KNOWLEDGE_BASE = [
-  {
-    id: "use-opusplan",
-    title: "Usa /opusplan para planificar con Opus y ejecutar con Sonnet",
-    description: "opusplan usa Opus durante plan mode para razonamiento complejo y vuelve a Sonnet para implementacion. Solo pagas Opus en la fase de planning.",
-    savings_estimate: "60-80% de reduccion de coste en sesiones con planning intensivo",
-    savings_source: "community-measured",
-    how_to_invoke: "/model opusplan",
-    when_applicable: "Sesiones con razonamiento largo antes de codigo",
-    source_type: "built-in",
-    verified_at: "2026-04-11",
-    detector_id: "detect-long-reasoning-no-code"
-  },
-  {
-    id: "use-plan-mode",
-    title: "Activa plan mode para exploracion sin escribir codigo",
-    description: "EnterPlanMode permite razonar y explorar sin hacer ediciones, reduciendo iteraciones costosas.",
-    savings_estimate: "Variable segun tarea",
-    savings_source: "internal",
-    how_to_invoke: "EnterPlanMode tool",
-    when_applicable: "Tareas no triviales antes de escribir codigo",
-    source_type: "built-in",
-    verified_at: "2026-04-11",
-    detector_id: "detect-long-reasoning-no-code"
-  },
-  {
-    id: "use-fast-mode",
-    title: "Activa /fast para respuestas mas directas",
-    description: "Modo rapido mantiene el modelo pero reduce el detalle de las respuestas.",
-    savings_estimate: "Reduce tiempo principalmente",
-    savings_source: "internal",
-    how_to_invoke: "/fast",
-    when_applicable: "Cuando quieres respuestas mas concisas",
-    source_type: "built-in",
-    verified_at: "2026-04-11",
-    detector_id: null
-  },
-  {
-    id: "default-to-sonnet",
-    title: "Arranca cada sesion con Sonnet y sube a Opus solo cuando haga falta",
-    description: "Sonnet resuelve ~80% de tareas de coding bien. El switching tactico a Opus solo en razonamiento complejo ahorra el grueso del coste.",
-    savings_estimate: "60-80% reduccion de coste total",
-    savings_source: "community-measured",
-    how_to_invoke: "/model sonnet (inicio) \u2192 /model opus (cuando sea necesario)",
-    when_applicable: "Siempre como default",
-    source_type: "built-in",
-    verified_at: "2026-04-11",
-    detector_id: "detect-opus-for-simple-task"
-  },
-  {
-    id: "use-haiku-for-simple",
-    title: "Usa Haiku para formato, Q&A simple y tareas de alto volumen",
-    description: "Haiku es mucho mas barato y rapido. Para formateo, preguntas puntuales o tareas repetitivas es el modelo adecuado.",
-    savings_estimate: "~90% reduccion vs Opus en tareas simples",
-    savings_source: "anthropic-docs",
-    how_to_invoke: "/model haiku",
-    when_applicable: "Formateo, Q&A simple, alto volumen",
-    source_type: "built-in",
-    verified_at: "2026-04-11",
-    detector_id: "detect-opus-for-simple-task"
-  },
-  {
-    id: "use-compact-long-session",
-    title: "Corre /compact cuando el contexto supere el 75%",
-    description: "/compact genera un resumen del contexto actual liberando ~60-80% de la ventana sin perder continuidad.",
-    savings_estimate: "60-80% de contexto liberado",
-    savings_source: "community-measured",
-    how_to_invoke: "/compact",
-    when_applicable: "Contexto > 75% de la ventana",
-    source_type: "built-in",
-    verified_at: "2026-04-11",
-    detector_id: "detect-context-threshold"
-  },
-  {
-    id: "use-clear-rename-resume",
-    title: "Usa /rename \u2192 /clear \u2192 /resume para pivotes de tema",
-    description: "Al cambiar a un tema no relacionado, renombra la sesion, haz /clear para empezar limpio, y resume cuando vuelvas.",
-    savings_estimate: "Variable segun contexto descartado",
-    savings_source: "internal",
-    how_to_invoke: "/rename <nombre> \u2192 /clear \u2192 (trabajar) \u2192 /resume <nombre>",
-    when_applicable: "Pivote total a tema no relacionado",
-    source_type: "built-in",
-    verified_at: "2026-04-11",
-    detector_id: "detect-clear-opportunity"
-  },
-  {
-    id: "use-sessionstart-compact-hook",
-    title: "Activa el hook SessionStart:compact de token-optimizer",
-    description: "Cuando Claude Code compacta el contexto, token-optimizer inyecta un resumen con archivos, comandos y presupuesto.",
-    savings_estimate: "Evita re-lectura tras compactacion",
-    savings_source: "internal",
-    how_to_invoke: "token-optimizer-mcp install (ya lo configura)",
-    when_applicable: "Siempre como parte del install",
-    source_type: "mcp",
-    verified_at: "2026-04-11",
-    detector_id: null
-  },
-  {
-    id: "use-memory-save",
-    title: "Guarda decisiones con mem_save antes de compactar",
-    description: "Persistir decisiones arquitectonicas en engram evita tener que re-derivarlas cuando el contexto se compacta.",
-    savings_estimate: "Variable",
-    savings_source: "internal",
-    how_to_invoke: "mem_save (via engram MCP)",
-    when_applicable: "Antes de /compact o cambiar de sesion",
-    source_type: "mcp",
-    verified_at: "2026-04-11",
-    detector_id: null
-  },
-  {
-    id: "use-agent-explore",
-    title: "Delega busquedas amplias al subagente Explore",
-    description: "El subagente Explore tiene su propio contexto y no consume el de la sesion principal. Ideal para buscar en muchos archivos.",
-    savings_estimate: "Aisla contexto al subagente",
-    savings_source: "internal",
-    how_to_invoke: 'Agent tool con subagent_type="Explore"',
-    when_applicable: "3+ busquedas Grep/Glob similares",
-    source_type: "built-in",
-    verified_at: "2026-04-11",
-    detector_id: "detect-repeated-searches"
-  },
-  {
-    id: "use-todowrite-long-task",
-    title: "Usa TodoWrite para tareas multi-paso",
-    description: "TodoWrite mantiene el estado de la tarea sin re-leer archivos, reduciendo redundancia.",
-    savings_estimate: "Evita re-lectura de estado",
-    savings_source: "internal",
-    how_to_invoke: "TodoWrite",
-    when_applicable: "3+ pasos independientes",
-    source_type: "built-in",
-    verified_at: "2026-04-11",
-    detector_id: null
-  },
-  {
-    id: "use-skill-trigger",
-    title: "Invoca skills en lugar de re-derivar instrucciones",
-    description: "Los skills cargan instrucciones especializadas solo cuando se invocan. Mejor que un CLAUDE.md monolitico.",
-    savings_estimate: "~15k tokens/sesion con progressive disclosure",
-    savings_source: "community-measured",
-    how_to_invoke: "Skill tool con nombre del skill",
-    when_applicable: "Tareas que matchean un skill disponible",
-    source_type: "skill",
-    verified_at: "2026-04-11",
-    detector_id: "detect-skill-trigger-ignored"
-  },
-  {
-    id: "install-serena",
-    title: "Instala serena-mcp para lecturas simbolicas",
-    description: "serena usa LSP para leer solo los simbolos que necesitas en lugar del archivo completo. Nota: incluye execute_shell_command.",
-    savings_estimate: "20-30% en lecturas de archivos grandes",
-    savings_source: "community-measured",
-    how_to_invoke: "uvx --from git+https://github.com/oraios/serena serena start-mcp-server",
-    when_applicable: "Proyectos con archivos >50k tokens",
-    source_type: "mcp",
-    verified_at: "2026-04-11",
-    detector_id: "detect-huge-file-reads"
-  },
-  {
-    id: "prefer-serena-reads",
-    title: "Usa Serena en vez de Read para archivos de codigo",
-    description: "Serena lee simbolos (funciones, clases) sin cargar el archivo completo. Usa get_symbols_overview para explorar y find_symbol con include_body para leer solo lo que necesitas. Ahorro tipico: 60-90% vs Read.",
-    savings_estimate: "60-90% en lecturas de codigo",
-    savings_source: "internal",
-    how_to_invoke: "get_symbols_overview(path) \u2192 find_symbol(name, include_body=true)",
-    when_applicable: "Archivos .ts/.js/.py/.java >50 lineas donde solo necesitas 1-2 funciones",
-    source_type: "mcp",
-    verified_at: "2026-04-12",
-    detector_id: "detect-read-over-serena"
-  },
-  {
-    id: "install-rtk",
-    title: "Instala RTK para filtrar salida ruidosa de Bash",
-    description: "RTK filtra output de builds/tests antes de llegar a Claude Code. Publica releases firmadas con GPG.",
-    savings_estimate: "15-25% en ciclos build/test",
-    savings_source: "community-measured",
-    how_to_invoke: "brew install standard-input/tap/rtk (macOS) o binario firmado en github.com/standard-input/rtk",
-    when_applicable: "Proyectos con builds/tests ruidosos",
-    source_type: "mcp",
-    verified_at: "2026-04-11",
-    detector_id: "detect-many-bash-commands"
-  },
-  {
-    id: "use-mcp-prune",
-    title: "Aplica un allowlist de MCPs por proyecto",
-    description: "Reduce el coste del tool-schema excluyendo MCPs que no usas en este proyecto. ~5-12% adicional sobre Tool Search.",
-    savings_estimate: "5-12% por turno sobre Tool Search nativo",
-    savings_source: "internal",
-    how_to_invoke: "mcp_prune_suggest \u2192 mcp_prune_apply",
-    when_applicable: "MCPs registrados pero no usados en el proyecto",
-    source_type: "mcp",
-    verified_at: "2026-04-11",
-    detector_id: "detect-unused-mcp-servers"
-  },
-  {
-    id: "migrate-claudemd-to-skills",
-    title: "Migra CLAUDE.md grande a skills con progressive disclosure",
-    description: "Un CLAUDE.md monolitico se carga en cada sesion. Los skills solo cargan cuando se invocan. ~15k tokens recuperados.",
-    savings_estimate: "~15k tokens/sesion (82% mejor que CLAUDE.md monolitico)",
-    savings_source: "community-measured",
-    how_to_invoke: "Crear skills en .claude/skills/ con triggers especificos",
-    when_applicable: "CLAUDE.md > 10k tokens con uso parcial",
-    source_type: "skill",
-    verified_at: "2026-04-11",
-    detector_id: "detect-claudemd-bloat"
-  },
-  {
-    id: "use-settings-local",
-    title: "Configuracion personal en settings.local.json",
-    description: "Evita contaminar settings.json del equipo. settings.local.json es personal y gitignored por defecto.",
-    savings_estimate: "Higiene, no tokens",
-    savings_source: "internal",
-    how_to_invoke: "Editar .claude/settings.local.json",
-    when_applicable: "Configuracion personal no compartible",
-    source_type: "settings",
-    verified_at: "2026-04-11",
-    detector_id: null
-  },
-  {
-    id: "use-serena-overview-first",
-    title: "Usa get_symbols_overview antes de find_symbol",
-    description: "Llamar get_symbols_overview una vez da el mapa del archivo. Las llamadas sucesivas find_symbol sin overview previo leen el mismo archivo repetidamente.",
-    savings_estimate: "30-50% menos llamadas Serena por sesion",
-    savings_source: "internal",
-    how_to_invoke: "mcp__serena__get_symbols_overview con relative_path antes de find_symbol",
-    when_applicable: "Al explorar un archivo por primera vez en la sesion",
-    source_type: "mcp",
-    verified_at: "2026-04-15",
-    detector_id: "detect-serena-read-cascade"
-  },
-  {
-    id: "use-prompt-caching",
-    title: "Estructura prompts para maximizar cache hits",
-    description: "Los tokens leidos del cache cuestan 10x menos. Mantener el prefijo estable (system, CLAUDE.md) aprovecha el cache.",
-    savings_estimate: "10x mas barato en reads cacheados",
-    savings_source: "anthropic-docs",
-    how_to_invoke: "Mantener prefijo estable entre turns",
-    when_applicable: "Siempre",
-    source_type: "built-in",
-    verified_at: "2026-04-11",
-    detector_id: null
-  }
-];
-
-// src/coach/rules.ts
-function countMatching(events, predicate) {
-  let c = 0;
-  for (const e of events) if (predicate(e)) c++;
-  return c;
-}
-var EDIT_TOOLS = /* @__PURE__ */ new Set(["Edit", "Write", "MultiEdit", "NotebookEdit"]);
-var DETECTION_RULES = [
-  // 1. detect-context-threshold
-  {
-    id: "detect-context-threshold",
-    tip_ids: ["use-compact-long-session"],
-    run(ctx) {
-      if (ctx.session_token_total === null || ctx.session_token_limit <= 0) return null;
-      const percent = ctx.session_token_total / ctx.session_token_limit;
-      if (percent < 0.5) return null;
-      let severity = "info";
-      if (percent >= 0.9) severity = "critical";
-      else if (percent >= 0.75) severity = "warn";
-      return {
-        rule_id: "detect-context-threshold",
-        tip_ids: ["use-compact-long-session"],
-        severity,
-        evidence: `Contexto: ${(percent * 100).toFixed(1)}% usado (${ctx.session_token_total}/${ctx.session_token_limit} tokens)`,
-        estimation_method: ctx.session_token_method
-      };
-    }
-  },
-  // 2. detect-long-reasoning-no-code
-  {
-    id: "detect-long-reasoning-no-code",
-    tip_ids: ["use-plan-mode", "use-opusplan"],
-    run(ctx) {
-      const recent = ctx.events.slice(0, 10);
-      if (recent.length < 10) return null;
-      const edits = countMatching(recent, (e) => EDIT_TOOLS.has(e.tool_name));
-      if (edits > 0) return null;
-      return {
-        rule_id: "detect-long-reasoning-no-code",
-        tip_ids: ["use-plan-mode", "use-opusplan"],
-        severity: "info",
-        evidence: "10 eventos recientes sin ediciones de codigo",
-        estimation_method: "measured_exact"
-      };
-    }
-  },
-  // 3. detect-repeated-searches
-  {
-    id: "detect-repeated-searches",
-    tip_ids: ["use-agent-explore"],
-    run(ctx) {
-      const window = ctx.events.slice(0, 20);
-      const searches = countMatching(window, (e) => e.tool_name === "Grep" || e.tool_name === "Glob");
-      if (searches < 3) return null;
-      return {
-        rule_id: "detect-repeated-searches",
-        tip_ids: ["use-agent-explore"],
-        severity: "info",
-        evidence: `${searches} busquedas Grep/Glob en los ultimos 20 eventos`,
-        estimation_method: "measured_exact"
-      };
-    }
-  },
-  // 4. detect-huge-file-reads
-  {
-    id: "detect-huge-file-reads",
-    tip_ids: ["install-serena"],
-    run(ctx) {
-      const huge = ctx.events.find((e) => e.tool_name === "Read" && e.tokens_estimated > 5e4);
-      if (!huge) return null;
-      return {
-        rule_id: "detect-huge-file-reads",
-        tip_ids: ["install-serena"],
-        severity: "warn",
-        evidence: `Read consumio ${huge.tokens_estimated} tokens (umbral 50k)`,
-        estimation_method: "measured_exact"
-      };
-    }
-  },
-  // 5. detect-many-bash-commands
-  {
-    id: "detect-many-bash-commands",
-    tip_ids: ["install-rtk"],
-    run(ctx) {
-      const window = ctx.events.slice(0, 100);
-      const bash = countMatching(window, (e) => e.tool_name === "Bash");
-      if (bash <= 10) return null;
-      return {
-        rule_id: "detect-many-bash-commands",
-        tip_ids: ["install-rtk"],
-        severity: "info",
-        evidence: `${bash} comandos Bash en los ultimos ${window.length} eventos`,
-        estimation_method: "measured_exact"
-      };
-    }
-  },
-  // 6. detect-clear-opportunity (was #7 — detect-unused-mcp-servers stub removed)
-  {
-    id: "detect-clear-opportunity",
-    tip_ids: ["use-clear-rename-resume"],
-    run(ctx) {
-      if (ctx.events.length < 40) return null;
-      const recentTools = new Set(ctx.events.slice(0, 20).map((e) => e.tool_name));
-      const priorTools = new Set(ctx.events.slice(20, 40).map((e) => e.tool_name));
-      if (recentTools.size === 0) return null;
-      let overlap = 0;
-      for (const t of recentTools) if (priorTools.has(t)) overlap++;
-      const ratio = overlap / recentTools.size;
-      if (ratio >= 0.3) return null;
-      return {
-        rule_id: "detect-clear-opportunity",
-        tip_ids: ["use-clear-rename-resume"],
-        severity: "info",
-        evidence: `Solapamiento de herramientas ${(ratio * 100).toFixed(0)}% \u2014 posible pivote de tema`,
-        estimation_method: "measured_exact"
-      };
-    }
-  },
-  // 8. detect-opus-for-simple-task
-  {
-    id: "detect-opus-for-simple-task",
-    tip_ids: ["default-to-sonnet", "use-haiku-for-simple"],
-    run(ctx) {
-      if (!ctx.active_model || !/opus/i.test(ctx.active_model)) return null;
-      const recent = ctx.events.slice(0, 20);
-      if (recent.length < 6) return null;
-      const edits = countMatching(recent, (e) => EDIT_TOOLS.has(e.tool_name));
-      const bash = countMatching(recent, (e) => e.tool_name === "Bash");
-      if (edits + bash < 6) return null;
-      return {
-        rule_id: "detect-opus-for-simple-task",
-        tip_ids: ["default-to-sonnet", "use-haiku-for-simple"],
-        severity: "info",
-        evidence: `Opus ejecutando trabajo mecanico: ${edits} edits + ${bash} Bash en ultimos 20 eventos. Sonnet haria lo mismo un 80% mas barato.`,
-        estimation_method: "measured_exact"
-      };
-    }
-  },
-  // 9. detect-claudemd-bloat (stub — requires filesystem stat at runtime)
-  {
-    id: "detect-claudemd-bloat",
-    tip_ids: ["migrate-claudemd-to-skills"],
-    run() {
-      return null;
-    }
-  },
-  // 10. detect-post-milestone-opportunity
-  {
-    id: "detect-post-milestone-opportunity",
-    tip_ids: ["use-compact-long-session"],
-    run(ctx) {
-      const recent = ctx.events.slice(0, 20);
-      const edits = countMatching(recent, (e) => e.tool_name === "Edit" || e.tool_name === "Write");
-      const hasBash = countMatching(recent, (e) => e.tool_name === "Bash") > 0;
-      if (edits < 5 || !hasBash) return null;
-      if (ctx.session_token_total === null) return null;
-      const percent = ctx.session_token_total / ctx.session_token_limit;
-      if (percent < 0.4) return null;
-      return {
-        rule_id: "detect-post-milestone-opportunity",
-        tip_ids: ["use-compact-long-session"],
-        severity: "info",
-        evidence: `${edits} ediciones + Bash reciente + contexto ${(percent * 100).toFixed(0)}%`,
-        estimation_method: ctx.session_token_method
-      };
-    }
-  },
-  // 11. detect-skill-trigger-ignored (stub — requires skill registry)
-  {
-    id: "detect-skill-trigger-ignored",
-    tip_ids: ["use-skill-trigger"],
-    run() {
-      return null;
-    }
-  },
-  // 12. detect-serena-read-cascade
-  // Fires when the agent makes ≥5 find_symbol calls without a get_symbols_overview
-  // in the same window — suggests starting with an overview first.
-  {
-    id: "detect-serena-read-cascade",
-    tip_ids: ["use-serena-overview-first"],
-    run(ctx) {
-      const window = ctx.events.slice(0, 15);
-      const findSymbolCount = countMatching(
-        window,
-        (e) => e.tool_name === "mcp__serena__find_symbol"
-      );
-      if (findSymbolCount < 5) return null;
-      const hasOverview = window.some(
-        (e) => e.tool_name === "mcp__serena__get_symbols_overview"
-      );
-      if (hasOverview) return null;
-      return {
-        rule_id: "detect-serena-read-cascade",
-        tip_ids: ["use-serena-overview-first"],
-        severity: "info",
-        evidence: `${findSymbolCount} llamadas find_symbol sin get_symbols_overview en los ultimos 15 eventos.`,
-        estimation_method: ctx.session_token_method
-      };
-    }
-  },
-  // 13. detect-read-over-serena
-  {
-    id: "detect-read-over-serena",
-    tip_ids: ["prefer-serena-reads"],
-    run(ctx) {
-      const window = ctx.events.slice(0, 30);
-      const largeReads = window.filter(
-        (e) => e.tool_name === "Read" && e.tokens_estimated > 2e3
-      );
-      if (largeReads.length < 3) return null;
-      const totalTokens = largeReads.reduce((sum, e) => sum + e.tokens_estimated, 0);
-      const estimatedSaving = Math.round(totalTokens * 0.7);
-      const severity = largeReads.length >= 6 ? "warn" : "info";
-      return {
-        rule_id: "detect-read-over-serena",
-        tip_ids: ["prefer-serena-reads"],
-        severity,
-        evidence: `${largeReads.length} lecturas Read >2k tokens (total: ${totalTokens}). Serena ahorraria ~${estimatedSaving} tokens (~70%).`,
-        estimation_method: ctx.session_token_method
-      };
-    }
-  }
-];
-
-// src/coach/detector.ts
-var SEVERITY_ORDER = { critical: 0, warn: 1, info: 2 };
-function runRules(ctx) {
-  const hits = [];
-  for (const rule of DETECTION_RULES) {
-    try {
-      const hit = rule.run(ctx);
-      if (hit) hits.push(hit);
-    } catch {
-    }
-  }
-  const seen = /* @__PURE__ */ new Set();
-  const unique = [];
-  for (const h of hits) {
-    if (seen.has(h.rule_id)) continue;
-    seen.add(h.rule_id);
-    unique.push(h);
-  }
-  unique.sort((a, b) => (SEVERITY_ORDER[a.severity] ?? 99) - (SEVERITY_ORDER[b.severity] ?? 99));
-  return unique;
-}
-
-// src/coach/context-meter.ts
-import fs from "fs";
-
-// src/services/xray-client.ts
-var POST_TIMEOUT_MS = 500;
-var GET_TIMEOUT_MS = 300;
-var DEFAULT_LIMIT = 2e5;
-var VERSION = true ? "0.4.20" : "0.1.0";
-async function postToXray(event, opts = {}) {
-  const xrayUrl = opts.xrayUrl ?? resolveXrayUrl();
-  if (!xrayUrl) return false;
-  const fetchFn = opts.fetchImpl ?? fetch;
-  const controller = new AbortController();
-  const timer = setTimeout(() => controller.abort(), opts.timeoutMs ?? POST_TIMEOUT_MS);
-  try {
-    await fetchFn(`${xrayUrl}/hooks/token-optimizer`, {
-      method: "POST",
-      headers: { "content-type": "application/json" },
-      body: JSON.stringify({
-        source: "token-optimizer-mcp",
-        version: VERSION,
-        event
-      }),
-      signal: controller.signal
-    });
-    return true;
-  } catch {
-    return false;
-  } finally {
-    clearTimeout(timer);
-  }
-}
-var SUMMARY_TIMEOUT_MS = 2e3;
-async function postSummaryToXray(summary, opts = {}) {
-  const xrayUrl = opts.xrayUrl ?? resolveXrayUrl();
-  if (!xrayUrl) return false;
-  const fetchFn = opts.fetchImpl ?? fetch;
-  const controller = new AbortController();
-  const timer = setTimeout(() => controller.abort(), opts.timeoutMs ?? SUMMARY_TIMEOUT_MS);
-  try {
-    await fetchFn(`${xrayUrl}/hooks/token-optimizer/summary`, {
-      method: "POST",
-      headers: { "content-type": "application/json" },
-      body: JSON.stringify({
-        source: "token-optimizer-mcp",
-        version: VERSION,
-        summary
-      }),
-      signal: controller.signal
-    });
-    return true;
-  } catch {
-    return false;
-  } finally {
-    clearTimeout(timer);
-  }
-}
-async function getSessionTokens(sessionId, opts = {}) {
-  const xrayUrl = opts.xrayUrl ?? resolveXrayUrl();
-  if (!xrayUrl) return null;
-  const fetchFn = opts.fetchImpl ?? fetch;
-  const controller = new AbortController();
-  const timer = setTimeout(() => controller.abort(), opts.timeoutMs ?? GET_TIMEOUT_MS);
-  try {
-    const res = await fetchFn(
-      `${xrayUrl}/sessions/${encodeURIComponent(sessionId)}/tokens`,
-      { signal: controller.signal }
-    );
-    if (!res.ok) return null;
-    const data = await res.json();
-    const tokens = data.tokens ?? 0;
-    const limit = data.limit ?? DEFAULT_LIMIT;
-    return {
-      tokens,
-      limit,
-      percent: limit > 0 ? tokens / limit : 0,
-      estimation_method: "measured_exact"
-    };
-  } catch {
-    return null;
-  } finally {
-    clearTimeout(timer);
-  }
-}
-
-// src/coach/context-meter.ts
-var DEFAULT_LIMIT2 = 2e5;
-var OPUS_1M_LIMIT = 1e6;
-var BASELINE_TOKENS = 15e3;
-async function measureContextSize(sessionId, opts = {}) {
-  if (opts.projectDir) {
-    const transcript = readTranscript(opts.projectDir, sessionId);
-    if (transcript) return transcript;
-  }
-  const xrayResult = await tryXray(sessionId, opts.fetchImpl);
-  if (xrayResult) return xrayResult;
-  const limit = resolveLimit(opts.activeModel);
-  if (opts.db) {
-    return cumulativeEstimate(opts.db, sessionId, limit);
-  }
-  return { tokens: 0, limit, percent: 0, estimation_method: "unknown" };
-}
-function readTranscript(projectDir, sessionId) {
-  try {
-    const p = resolveTranscriptPath(projectDir, sessionId);
-    if (!fs.existsSync(p)) return null;
-    const content = fs.readFileSync(p, "utf8");
-    const lines = content.split("\n").filter((l) => l.trim().length > 0);
-    let totalTokens = 0;
-    let limit = DEFAULT_LIMIT2;
-    for (const line of lines) {
-      try {
-        const turn = JSON.parse(line);
-        if (turn.usage) {
-          totalTokens += (turn.usage.input_tokens ?? 0) + (turn.usage.output_tokens ?? 0) + (turn.usage.cache_read_input_tokens ?? 0);
-        }
-        if (turn.model && /1m/i.test(turn.model)) limit = OPUS_1M_LIMIT;
-      } catch {
-      }
-    }
-    return {
-      tokens: totalTokens,
-      limit,
-      percent: limit > 0 ? totalTokens / limit : 0,
-      estimation_method: "measured_exact"
-    };
-  } catch {
-    return null;
-  }
-}
-async function tryXray(sessionId, fetchImpl) {
-  const opts = {};
-  if (fetchImpl !== void 0) opts.fetchImpl = fetchImpl;
-  return getSessionTokens(sessionId, opts);
-}
-function resolveLimit(activeModel) {
-  if (activeModel && /1m|opus/i.test(activeModel)) return OPUS_1M_LIMIT;
-  return DEFAULT_LIMIT2;
-}
-function cumulativeEstimate(db, sessionId, limit = DEFAULT_LIMIT2) {
-  const queries = buildQueries(db);
-  const sessionTokens = queries.sumTokensBySession(sessionId);
-  const total = sessionTokens + BASELINE_TOKENS;
-  return {
-    tokens: total,
-    limit,
-    percent: total / limit,
-    estimation_method: "estimated_cumulative"
-  };
-}
-function measureContextSizeFromDbSync(db, sessionId, activeModel) {
-  const limit = resolveLimit(activeModel);
-  return cumulativeEstimate(db, sessionId, limit);
-}
-
-// src/coach/surface.ts
-function checkDedupe(db, sessionId, ruleId, tipId, windowSeconds) {
-  const row = db.prepare(
-    `SELECT 1 FROM coach_surface_log
-       WHERE session_id = ? AND rule_id = ? AND tip_id = ?
-         AND created_at > datetime('now', ?)
-       LIMIT 1`
-  ).get(sessionId, ruleId, tipId, `-${windowSeconds} seconds`);
-  return row !== void 0 && row !== null;
-}
-function logSurface(db, sessionId, hit, via) {
-  db.prepare(`INSERT OR IGNORE INTO sessions (id) VALUES (?)`).run(sessionId);
-  const stmt = db.prepare(
-    `INSERT INTO coach_surface_log (session_id, rule_id, tip_id, surfaced_via, severity)
-     VALUES (?, ?, ?, ?, ?)`
-  );
-  for (const tipId of hit.tip_ids) {
-    stmt.run(sessionId, hit.rule_id, tipId, via, hit.severity);
-  }
-}
-function surfaceWithDedupe(db, sessionId, hits, via, windowSeconds) {
-  const surfaced = [];
-  for (const hit of hits) {
-    const anyFresh = hit.tip_ids.some(
-      (tipId) => !checkDedupe(db, sessionId, hit.rule_id, tipId, windowSeconds)
-    );
-    if (anyFresh) {
-      logSurface(db, sessionId, hit, via);
-      surfaced.push(hit);
-    }
-  }
-  return surfaced;
-}
-function getCoachSurfaceLog(db, sessionId) {
-  const rows = db.prepare(
-    `SELECT rule_id, tip_id, severity
-       FROM coach_surface_log
-       WHERE session_id = ?
-       ORDER BY created_at`
-  ).all(sessionId);
-  const map = /* @__PURE__ */ new Map();
-  for (const row of rows) {
-    if (!map.has(row.rule_id)) {
-      map.set(row.rule_id, { tip_ids: [], severity: row.severity });
-    }
-    const entry = map.get(row.rule_id);
-    if (!entry.tip_ids.includes(row.tip_id)) {
-      entry.tip_ids.push(row.tip_id);
-    }
-  }
-  return Array.from(map.entries()).map(([rule_id, v]) => ({
-    rule_id,
-    tip_ids: v.tip_ids,
-    severity: v.severity
-  }));
-}
-function clearSurfaceLog(db, sessionId) {
-  if (sessionId) {
-    const info2 = db.prepare(`DELETE FROM coach_surface_log WHERE session_id = ?`).run(sessionId);
-    return info2.changes;
-  }
-  const info = db.prepare(`DELETE FROM coach_surface_log`).run();
-  return info.changes;
-}
-
-export {
-  postToXray,
-  postSummaryToXray,
-  KNOWLEDGE_BASE,
-  runRules,
-  measureContextSize,
-  measureContextSizeFromDbSync,
-  surfaceWithDedupe,
-  getCoachSurfaceLog,
-  clearSurfaceLog
-};
-//# sourceMappingURL=chunk-4PA7MRTS.js.map

dist/chunk-4PA7MRTS.js.map

-{"version":3,"sources":["../src/coach/knowledge-base.ts","../src/coach/rules.ts","../src/coach/detector.ts","../src/coach/context-meter.ts","../src/services/xray-client.ts","../src/coach/surface.ts"],"sourcesContent":["// Static catalog of 18 CoachTip entries — Phase 4.40\n// See sdd/token-optimizer-v0.1/coach-layer-addendum CO-1\n\nimport type { CoachTip } from '../lib/types.js'\n\nexport const KNOWLEDGE_BASE: readonly CoachTip[] = [\n  {\n    id: 'use-opusplan',\n    title: 'Usa /opusplan para planificar con Opus y ejecutar con Sonnet',\n    description:\n      'opusplan usa Opus durante plan mode para razonamiento complejo y vuelve a Sonnet para implementacion. Solo pagas Opus en la fase de planning.',\n    savings_estimate: '60-80% de reduccion de coste en sesiones con planning intensivo',\n    savings_source: 'community-measured',\n    how_to_invoke: '/model opusplan',\n    when_applicable: 'Sesiones con razonamiento largo antes de codigo',\n    source_type: 'built-in',\n    verified_at: '2026-04-11',\n    detector_id: 'detect-long-reasoning-no-code',\n  },\n  {\n    id: 'use-plan-mode',\n    title: 'Activa plan mode para exploracion sin escribir codigo',\n    description:\n      'EnterPlanMode permite razonar y explorar sin hacer ediciones, reduciendo iteraciones costosas.',\n    savings_estimate: 'Variable segun tarea',\n    savings_source: 'internal',\n    how_to_invoke: 'EnterPlanMode tool',\n    when_applicable: 'Tareas no triviales antes de escribir codigo',\n    source_type: 'built-in',\n    verified_at: '2026-04-11',\n    detector_id: 'detect-long-reasoning-no-code',\n  },\n  {\n    id: 'use-fast-mode',\n    title: 'Activa /fast para respuestas mas directas',\n    description: 'Modo rapido mantiene el modelo pero reduce el detalle de las respuestas.',\n    savings_estimate: 'Reduce tiempo principalmente',\n    savings_source: 'internal',\n    how_to_invoke: '/fast',\n    when_applicable: 'Cuando quieres respuestas mas concisas',\n    source_type: 'built-in',\n    verified_at: '2026-04-11',\n    detector_id: null,\n  },\n  {\n    id: 'default-to-sonnet',\n    title: 'Arranca cada sesion con Sonnet y sube a Opus solo cuando haga falta',\n    description:\n      'Sonnet resuelve ~80% de tareas de coding bien. El switching tactico a Opus solo en razonamiento complejo ahorra el grueso del coste.',\n    savings_estimate: '60-80% reduccion de coste total',\n    savings_source: 'community-measured',\n    how_to_invoke: '/model sonnet (inicio) → /model opus (cuando sea necesario)',\n    when_applicable: 'Siempre como default',\n    source_type: 'built-in',\n    verified_at: '2026-04-11',\n    detector_id: 'detect-opus-for-simple-task',\n  },\n  {\n    id: 'use-haiku-for-simple',\n    title: 'Usa Haiku para formato, Q&A simple y tareas de alto volumen',\n    description:\n      'Haiku es mucho mas barato y rapido. Para formateo, preguntas puntuales o tareas repetitivas es el modelo adecuado.',\n    savings_estimate: '~90% reduccion vs Opus en tareas simples',\n    savings_source: 'anthropic-docs',\n    how_to_invoke: '/model haiku',\n    when_applicable: 'Formateo, Q&A simple, alto volumen',\n    source_type: 'built-in',\n    verified_at: '2026-04-11',\n    detector_id: 'detect-opus-for-simple-task',\n  },\n  {\n    id: 'use-compact-long-session',\n    title: 'Corre /compact cuando el contexto supere el 75%',\n    description:\n      '/compact genera un resumen del contexto actual liberando ~60-80% de la ventana sin perder continuidad.',\n    savings_estimate: '60-80% de contexto liberado',\n    savings_source: 'community-measured',\n    how_to_invoke: '/compact',\n    when_applicable: 'Contexto > 75% de la ventana',\n    source_type: 'built-in',\n    verified_at: '2026-04-11',\n    detector_id: 'detect-context-threshold',\n  },\n  {\n    id: 'use-clear-rename-resume',\n    title: 'Usa /rename → /clear → /resume para pivotes de tema',\n    description:\n      'Al cambiar a un tema no relacionado, renombra la sesion, haz /clear para empezar limpio, y resume cuando vuelvas.',\n    savings_estimate: 'Variable segun contexto descartado',\n    savings_source: 'internal',\n    how_to_invoke: '/rename <nombre> → /clear → (trabajar) → /resume <nombre>',\n    when_applicable: 'Pivote total a tema no relacionado',\n    source_type: 'built-in',\n    verified_at: '2026-04-11',\n    detector_id: 'detect-clear-opportunity',\n  },\n  {\n    id: 'use-sessionstart-compact-hook',\n    title: 'Activa el hook SessionStart:compact de token-optimizer',\n    description:\n      'Cuando Claude Code compacta el contexto, token-optimizer inyecta un resumen con archivos, comandos y presupuesto.',\n    savings_estimate: 'Evita re-lectura tras compactacion',\n    savings_source: 'internal',\n    how_to_invoke: 'token-optimizer-mcp install (ya lo configura)',\n    when_applicable: 'Siempre como parte del install',\n    source_type: 'mcp',\n    verified_at: '2026-04-11',\n    detector_id: null,\n  },\n  {\n    id: 'use-memory-save',\n    title: 'Guarda decisiones con mem_save antes de compactar',\n    description:\n      'Persistir decisiones arquitectonicas en engram evita tener que re-derivarlas cuando el contexto se compacta.',\n    savings_estimate: 'Variable',\n    savings_source: 'internal',\n    how_to_invoke: 'mem_save (via engram MCP)',\n    when_applicable: 'Antes de /compact o cambiar de sesion',\n    source_type: 'mcp',\n    verified_at: '2026-04-11',\n    detector_id: null,\n  },\n  {\n    id: 'use-agent-explore',\n    title: 'Delega busquedas amplias al subagente Explore',\n    description:\n      'El subagente Explore tiene su propio contexto y no consume el de la sesion principal. Ideal para buscar en muchos archivos.',\n    savings_estimate: 'Aisla contexto al subagente',\n    savings_source: 'internal',\n    how_to_invoke: 'Agent tool con subagent_type=\"Explore\"',\n    when_applicable: '3+ busquedas Grep/Glob similares',\n    source_type: 'built-in',\n    verified_at: '2026-04-11',\n    detector_id: 'detect-repeated-searches',\n  },\n  {\n    id: 'use-todowrite-long-task',\n    title: 'Usa TodoWrite para tareas multi-paso',\n    description:\n      'TodoWrite mantiene el estado de la tarea sin re-leer archivos, reduciendo redundancia.',\n    savings_estimate: 'Evita re-lectura de estado',\n    savings_source: 'internal',\n    how_to_invoke: 'TodoWrite',\n    when_applicable: '3+ pasos independientes',\n    source_type: 'built-in',\n    verified_at: '2026-04-11',\n    detector_id: null,\n  },\n  {\n    id: 'use-skill-trigger',\n    title: 'Invoca skills en lugar de re-derivar instrucciones',\n    description:\n      'Los skills cargan instrucciones especializadas solo cuando se invocan. Mejor que un CLAUDE.md monolitico.',\n    savings_estimate: '~15k tokens/sesion con progressive disclosure',\n    savings_source: 'community-measured',\n    how_to_invoke: 'Skill tool con nombre del skill',\n    when_applicable: 'Tareas que matchean un skill disponible',\n    source_type: 'skill',\n    verified_at: '2026-04-11',\n    detector_id: 'detect-skill-trigger-ignored',\n  },\n  {\n    id: 'install-serena',\n    title: 'Instala serena-mcp para lecturas simbolicas',\n    description:\n      'serena usa LSP para leer solo los simbolos que necesitas en lugar del archivo completo. Nota: incluye execute_shell_command.',\n    savings_estimate: '20-30% en lecturas de archivos grandes',\n    savings_source: 'community-measured',\n    how_to_invoke: 'uvx --from git+https://github.com/oraios/serena serena start-mcp-server',\n    when_applicable: 'Proyectos con archivos >50k tokens',\n    source_type: 'mcp',\n    verified_at: '2026-04-11',\n    detector_id: 'detect-huge-file-reads',\n  },\n  {\n    id: 'prefer-serena-reads',\n    title: 'Usa Serena en vez de Read para archivos de codigo',\n    description:\n      'Serena lee simbolos (funciones, clases) sin cargar el archivo completo. Usa get_symbols_overview para explorar y find_symbol con include_body para leer solo lo que necesitas. Ahorro tipico: 60-90% vs Read.',\n    savings_estimate: '60-90% en lecturas de codigo',\n    savings_source: 'internal',\n    how_to_invoke: 'get_symbols_overview(path) → find_symbol(name, include_body=true)',\n    when_applicable: 'Archivos .ts/.js/.py/.java >50 lineas donde solo necesitas 1-2 funciones',\n    source_type: 'mcp',\n    verified_at: '2026-04-12',\n    detector_id: 'detect-read-over-serena',\n  },\n  {\n    id: 'install-rtk',\n    title: 'Instala RTK para filtrar salida ruidosa de Bash',\n    description:\n      'RTK filtra output de builds/tests antes de llegar a Claude Code. Publica releases firmadas con GPG.',\n    savings_estimate: '15-25% en ciclos build/test',\n    savings_source: 'community-measured',\n    how_to_invoke: 'brew install standard-input/tap/rtk (macOS) o binario firmado en github.com/standard-input/rtk',\n    when_applicable: 'Proyectos con builds/tests ruidosos',\n    source_type: 'mcp',\n    verified_at: '2026-04-11',\n    detector_id: 'detect-many-bash-commands',\n  },\n  {\n    id: 'use-mcp-prune',\n    title: 'Aplica un allowlist de MCPs por proyecto',\n    description:\n      'Reduce el coste del tool-schema excluyendo MCPs que no usas en este proyecto. ~5-12% adicional sobre Tool Search.',\n    savings_estimate: '5-12% por turno sobre Tool Search nativo',\n    savings_source: 'internal',\n    how_to_invoke: 'mcp_prune_suggest → mcp_prune_apply',\n    when_applicable: 'MCPs registrados pero no usados en el proyecto',\n    source_type: 'mcp',\n    verified_at: '2026-04-11',\n    detector_id: 'detect-unused-mcp-servers',\n  },\n  {\n    id: 'migrate-claudemd-to-skills',\n    title: 'Migra CLAUDE.md grande a skills con progressive disclosure',\n    description:\n      'Un CLAUDE.md monolitico se carga en cada sesion. Los skills solo cargan cuando se invocan. ~15k tokens recuperados.',\n    savings_estimate: '~15k tokens/sesion (82% mejor que CLAUDE.md monolitico)',\n    savings_source: 'community-measured',\n    how_to_invoke: 'Crear skills en .claude/skills/ con triggers especificos',\n    when_applicable: 'CLAUDE.md > 10k tokens con uso parcial',\n    source_type: 'skill',\n    verified_at: '2026-04-11',\n    detector_id: 'detect-claudemd-bloat',\n  },\n  {\n    id: 'use-settings-local',\n    title: 'Configuracion personal en settings.local.json',\n    description:\n      'Evita contaminar settings.json del equipo. settings.local.json es personal y gitignored por defecto.',\n    savings_estimate: 'Higiene, no tokens',\n    savings_source: 'internal',\n    how_to_invoke: 'Editar .claude/settings.local.json',\n    when_applicable: 'Configuracion personal no compartible',\n    source_type: 'settings',\n    verified_at: '2026-04-11',\n    detector_id: null,\n  },\n  {\n    id: 'use-serena-overview-first',\n    title: 'Usa get_symbols_overview antes de find_symbol',\n    description:\n      'Llamar get_symbols_overview una vez da el mapa del archivo. Las llamadas sucesivas find_symbol sin overview previo leen el mismo archivo repetidamente.',\n    savings_estimate: '30-50% menos llamadas Serena por sesion',\n    savings_source: 'internal',\n    how_to_invoke: 'mcp__serena__get_symbols_overview con relative_path antes de find_symbol',\n    when_applicable: 'Al explorar un archivo por primera vez en la sesion',\n    source_type: 'mcp',\n    verified_at: '2026-04-15',\n    detector_id: 'detect-serena-read-cascade',\n  },\n  {\n    id: 'use-prompt-caching',\n    title: 'Estructura prompts para maximizar cache hits',\n    description:\n      'Los tokens leidos del cache cuestan 10x menos. Mantener el prefijo estable (system, CLAUDE.md) aprovecha el cache.',\n    savings_estimate: '10x mas barato en reads cacheados',\n    savings_source: 'anthropic-docs',\n    how_to_invoke: 'Mantener prefijo estable entre turns',\n    when_applicable: 'Siempre',\n    source_type: 'built-in',\n    verified_at: '2026-04-11',\n    detector_id: null,\n  },\n]\n","// Detection rules registry (11 rules) — Phase 4.43\n// Each rule is a pure function over EventContext returning DetectionHit | null.\n// Rules MUST NOT throw; the orchestrator catches everything.\n\nimport type { DetectionRule, DetectionSeverity, ToolEvent } from '../lib/types.js'\n\nfunction countMatching(events: readonly ToolEvent[], predicate: (e: ToolEvent) => boolean): number {\n  let c = 0\n  for (const e of events) if (predicate(e)) c++\n  return c\n}\n\nconst EDIT_TOOLS = new Set(['Edit', 'Write', 'MultiEdit', 'NotebookEdit'])\n\nexport const DETECTION_RULES: readonly DetectionRule[] = [\n  // 1. detect-context-threshold\n  {\n    id: 'detect-context-threshold',\n    tip_ids: ['use-compact-long-session'],\n    run(ctx) {\n      if (ctx.session_token_total === null || ctx.session_token_limit <= 0) return null\n      const percent = ctx.session_token_total / ctx.session_token_limit\n      if (percent < 0.5) return null\n      let severity: DetectionSeverity = 'info'\n      if (percent >= 0.9) severity = 'critical'\n      else if (percent >= 0.75) severity = 'warn'\n      return {\n        rule_id: 'detect-context-threshold',\n        tip_ids: ['use-compact-long-session'],\n        severity,\n        evidence: `Contexto: ${(percent * 100).toFixed(1)}% usado (${ctx.session_token_total}/${ctx.session_token_limit} tokens)`,\n        estimation_method: ctx.session_token_method,\n      }\n    },\n  },\n\n  // 2. detect-long-reasoning-no-code\n  {\n    id: 'detect-long-reasoning-no-code',\n    tip_ids: ['use-plan-mode', 'use-opusplan'],\n    run(ctx) {\n      const recent = ctx.events.slice(0, 10)\n      if (recent.length < 10) return null\n      const edits = countMatching(recent, (e) => EDIT_TOOLS.has(e.tool_name))\n      if (edits > 0) return null\n      return {\n        rule_id: 'detect-long-reasoning-no-code',\n        tip_ids: ['use-plan-mode', 'use-opusplan'],\n        severity: 'info',\n        evidence: '10 eventos recientes sin ediciones de codigo',\n        estimation_method: 'measured_exact',\n      }\n    },\n  },\n\n  // 3. detect-repeated-searches\n  {\n    id: 'detect-repeated-searches',\n    tip_ids: ['use-agent-explore'],\n    run(ctx) {\n      const window = ctx.events.slice(0, 20)\n      const searches = countMatching(window, (e) => e.tool_name === 'Grep' || e.tool_name === 'Glob')\n      if (searches < 3) return null\n      return {\n        rule_id: 'detect-repeated-searches',\n        tip_ids: ['use-agent-explore'],\n        severity: 'info',\n        evidence: `${searches} busquedas Grep/Glob en los ultimos 20 eventos`,\n        estimation_method: 'measured_exact',\n      }\n    },\n  },\n\n  // 4. detect-huge-file-reads\n  {\n    id: 'detect-huge-file-reads',\n    tip_ids: ['install-serena'],\n    run(ctx) {\n      const huge = ctx.events.find((e) => e.tool_name === 'Read' && e.tokens_estimated > 50_000)\n      if (!huge) return null\n      return {\n        rule_id: 'detect-huge-file-reads',\n        tip_ids: ['install-serena'],\n        severity: 'warn',\n        evidence: `Read consumio ${huge.tokens_estimated} tokens (umbral 50k)`,\n        estimation_method: 'measured_exact',\n      }\n    },\n  },\n\n  // 5. detect-many-bash-commands\n  {\n    id: 'detect-many-bash-commands',\n    tip_ids: ['install-rtk'],\n    run(ctx) {\n      const window = ctx.events.slice(0, 100)\n      const bash = countMatching(window, (e) => e.tool_name === 'Bash')\n      if (bash <= 10) return null\n      return {\n        rule_id: 'detect-many-bash-commands',\n        tip_ids: ['install-rtk'],\n        severity: 'info',\n        evidence: `${bash} comandos Bash en los ultimos ${window.length} eventos`,\n        estimation_method: 'measured_exact',\n      }\n    },\n  },\n\n  // 6. detect-clear-opportunity (was #7 — detect-unused-mcp-servers stub removed)\n  {\n    id: 'detect-clear-opportunity',\n    tip_ids: ['use-clear-rename-resume'],\n    run(ctx) {\n      if (ctx.events.length < 40) return null\n      const recentTools = new Set(ctx.events.slice(0, 20).map((e) => e.tool_name))\n      const priorTools = new Set(ctx.events.slice(20, 40).map((e) => e.tool_name))\n      if (recentTools.size === 0) return null\n      let overlap = 0\n      for (const t of recentTools) if (priorTools.has(t)) overlap++\n      const ratio = overlap / recentTools.size\n      if (ratio >= 0.3) return null\n      return {\n        rule_id: 'detect-clear-opportunity',\n        tip_ids: ['use-clear-rename-resume'],\n        severity: 'info',\n        evidence: `Solapamiento de herramientas ${(ratio * 100).toFixed(0)}% — posible pivote de tema`,\n        estimation_method: 'measured_exact',\n      }\n    },\n  },\n\n  // 8. detect-opus-for-simple-task\n  {\n    id: 'detect-opus-for-simple-task',\n    tip_ids: ['default-to-sonnet', 'use-haiku-for-simple'],\n    run(ctx) {\n      if (!ctx.active_model || !/opus/i.test(ctx.active_model)) return null\n      const recent = ctx.events.slice(0, 20)\n      if (recent.length < 6) return null\n      const edits = countMatching(recent, (e) => EDIT_TOOLS.has(e.tool_name))\n      const bash = countMatching(recent, (e) => e.tool_name === 'Bash')\n      // Opus es correcto para planificar/preguntar — solo avisar cuando está ejecutando código\n      if (edits + bash < 6) return null\n      return {\n        rule_id: 'detect-opus-for-simple-task',\n        tip_ids: ['default-to-sonnet', 'use-haiku-for-simple'],\n        severity: 'info',\n        evidence: `Opus ejecutando trabajo mecanico: ${edits} edits + ${bash} Bash en ultimos 20 eventos. Sonnet haria lo mismo un 80% mas barato.`,\n        estimation_method: 'measured_exact',\n      }\n    },\n  },\n\n  // 9. detect-claudemd-bloat (stub — requires filesystem stat at runtime)\n  {\n    id: 'detect-claudemd-bloat',\n    tip_ids: ['migrate-claudemd-to-skills'],\n    run() {\n      return null\n    },\n  },\n\n  // 10. detect-post-milestone-opportunity\n  {\n    id: 'detect-post-milestone-opportunity',\n    tip_ids: ['use-compact-long-session'],\n    run(ctx) {\n      const recent = ctx.events.slice(0, 20)\n      const edits = countMatching(recent, (e) => e.tool_name === 'Edit' || e.tool_name === 'Write')\n      const hasBash = countMatching(recent, (e) => e.tool_name === 'Bash') > 0\n      if (edits < 5 || !hasBash) return null\n      if (ctx.session_token_total === null) return null\n      const percent = ctx.session_token_total / ctx.session_token_limit\n      if (percent < 0.4) return null\n      return {\n        rule_id: 'detect-post-milestone-opportunity',\n        tip_ids: ['use-compact-long-session'],\n        severity: 'info',\n        evidence: `${edits} ediciones + Bash reciente + contexto ${(percent * 100).toFixed(0)}%`,\n        estimation_method: ctx.session_token_method,\n      }\n    },\n  },\n\n  // 11. detect-skill-trigger-ignored (stub — requires skill registry)\n  {\n    id: 'detect-skill-trigger-ignored',\n    tip_ids: ['use-skill-trigger'],\n    run() {\n      return null\n    },\n  },\n\n  // 12. detect-serena-read-cascade\n  // Fires when the agent makes ≥5 find_symbol calls without a get_symbols_overview\n  // in the same window — suggests starting with an overview first.\n  {\n    id: 'detect-serena-read-cascade',\n    tip_ids: ['use-serena-overview-first'],\n    run(ctx) {\n      const window = ctx.events.slice(0, 15)\n      const findSymbolCount = countMatching(\n        window,\n        (e) => e.tool_name === 'mcp__serena__find_symbol',\n      )\n      if (findSymbolCount < 5) return null\n      const hasOverview = window.some(\n        (e) => e.tool_name === 'mcp__serena__get_symbols_overview',\n      )\n      if (hasOverview) return null\n      return {\n        rule_id: 'detect-serena-read-cascade',\n        tip_ids: ['use-serena-overview-first'],\n        severity: 'info' as DetectionSeverity,\n        evidence: `${findSymbolCount} llamadas find_symbol sin get_symbols_overview en los ultimos 15 eventos.`,\n        estimation_method: ctx.session_token_method,\n      }\n    },\n  },\n\n  // 13. detect-read-over-serena\n  {\n    id: 'detect-read-over-serena',\n    tip_ids: ['prefer-serena-reads'],\n    run(ctx) {\n      const window = ctx.events.slice(0, 30)\n      const largeReads = window.filter(\n        (e) => e.tool_name === 'Read' && e.tokens_estimated > 2_000,\n      )\n      if (largeReads.length < 3) return null\n      const totalTokens = largeReads.reduce((sum, e) => sum + e.tokens_estimated, 0)\n      const estimatedSaving = Math.round(totalTokens * 0.7)\n      const severity: DetectionSeverity = largeReads.length >= 6 ? 'warn' : 'info'\n      return {\n        rule_id: 'detect-read-over-serena',\n        tip_ids: ['prefer-serena-reads'],\n        severity,\n        evidence: `${largeReads.length} lecturas Read >2k tokens (total: ${totalTokens}). Serena ahorraria ~${estimatedSaving} tokens (~70%).`,\n        estimation_method: ctx.session_token_method,\n      }\n    },\n  },\n]\n","// Rules orchestrator — Phase 4.44\n// Runs all detection rules, dedupes by (rule_id, tip_id), sorts by severity desc.\n\nimport type { DetectionHit, EventContext } from '../lib/types.js'\nimport { DETECTION_RULES } from './rules.js'\n\nconst SEVERITY_ORDER: Record<string, number> = { critical: 0, warn: 1, info: 2 }\n\nexport function runRules(ctx: EventContext): DetectionHit[] {\n  const hits: DetectionHit[] = []\n  for (const rule of DETECTION_RULES) {\n    try {\n      const hit = rule.run(ctx)\n      if (hit) hits.push(hit)\n    } catch {\n      // swallow — rules must never crash the caller\n    }\n  }\n  // Dedupe by rule_id\n  const seen = new Set<string>()\n  const unique: DetectionHit[] = []\n  for (const h of hits) {\n    if (seen.has(h.rule_id)) continue\n    seen.add(h.rule_id)\n    unique.push(h)\n  }\n  unique.sort((a, b) => (SEVERITY_ORDER[a.severity] ?? 99) - (SEVERITY_ORDER[b.severity] ?? 99))\n  return unique\n}\n","// Context size meter with 3-source fallback — Phase 4.42\n// (1) transcript JSONL → (2) xray HTTP → (3) cumulative DB estimate\n\nimport fs from 'node:fs'\nimport type Database from 'better-sqlite3'\nimport type { ContextMeasurement, EstimationMethod } from '../lib/types.js'\nimport { resolveTranscriptPath } from '../lib/paths.js'\nimport { buildQueries } from '../db/queries.js'\nimport { getSessionTokens } from '../services/xray-client.js'\n\ntype DB = Database.Database\n\nconst DEFAULT_LIMIT = 200_000\nconst OPUS_1M_LIMIT = 1_000_000\nconst BASELINE_TOKENS = 15_000\n\nexport interface ContextMeterOptions {\n  projectDir?: string\n  db?: DB\n  fetchImpl?: typeof fetch\n  activeModel?: string\n}\n\nexport async function measureContextSize(\n  sessionId: string,\n  opts: ContextMeterOptions = {},\n): Promise<ContextMeasurement> {\n  // Strategy 1: transcript JSONL (measured_exact)\n  if (opts.projectDir) {\n    const transcript = readTranscript(opts.projectDir, sessionId)\n    if (transcript) return transcript\n  }\n\n  // Strategy 2: xray HTTP (measured_exact)\n  const xrayResult = await tryXray(sessionId, opts.fetchImpl)\n  if (xrayResult) return xrayResult\n\n  // Strategy 3: cumulative estimate from our DB (estimated_cumulative)\n  const limit = resolveLimit(opts.activeModel)\n  if (opts.db) {\n    return cumulativeEstimate(opts.db, sessionId, limit)\n  }\n\n  return { tokens: 0, limit, percent: 0, estimation_method: 'unknown' }\n}\n\nfunction readTranscript(projectDir: string, sessionId: string): ContextMeasurement | null {\n  try {\n    const p = resolveTranscriptPath(projectDir, sessionId)\n    if (!fs.existsSync(p)) return null\n    const content = fs.readFileSync(p, 'utf8')\n    const lines = content.split('\\n').filter((l) => l.trim().length > 0)\n    let totalTokens = 0\n    let limit = DEFAULT_LIMIT\n    for (const line of lines) {\n      try {\n        const turn = JSON.parse(line) as {\n          usage?: {\n            input_tokens?: number\n            output_tokens?: number\n            cache_read_input_tokens?: number\n          }\n          model?: string\n        }\n        if (turn.usage) {\n          totalTokens +=\n            (turn.usage.input_tokens ?? 0) +\n            (turn.usage.output_tokens ?? 0) +\n            (turn.usage.cache_read_input_tokens ?? 0)\n        }\n        if (turn.model && /1m/i.test(turn.model)) limit = OPUS_1M_LIMIT\n      } catch {\n        // skip unparseable line\n      }\n    }\n    return {\n      tokens: totalTokens,\n      limit,\n      percent: limit > 0 ? totalTokens / limit : 0,\n      estimation_method: 'measured_exact' as EstimationMethod,\n    }\n  } catch {\n    return null\n  }\n}\n\nasync function tryXray(\n  sessionId: string,\n  fetchImpl?: typeof fetch,\n): Promise<ContextMeasurement | null> {\n  const opts: Parameters<typeof getSessionTokens>[1] = {}\n  if (fetchImpl !== undefined) opts.fetchImpl = fetchImpl\n  return getSessionTokens(sessionId, opts)\n}\n\nfunction resolveLimit(activeModel?: string): number {\n  if (activeModel && /1m|opus/i.test(activeModel)) return OPUS_1M_LIMIT\n  return DEFAULT_LIMIT\n}\n\nfunction cumulativeEstimate(\n  db: DB,\n  sessionId: string,\n  limit: number = DEFAULT_LIMIT,\n): ContextMeasurement {\n  const queries = buildQueries(db)\n  const sessionTokens = queries.sumTokensBySession(sessionId)\n  const total = sessionTokens + BASELINE_TOKENS\n  return {\n    tokens: total,\n    limit,\n    percent: total / limit,\n    estimation_method: 'estimated_cumulative',\n  }\n}\n\n/**\n * Synchronous DB-only context measurement for hot paths (PostToolUse).\n * Skips transcript + xray strategies to stay under the 5ms budget. The\n * estimation_method returned ('estimated_cumulative') is surfaced verbatim\n * in tips so the agent knows this is a fast approximation.\n */\nexport function measureContextSizeFromDbSync(\n  db: DB,\n  sessionId: string,\n  activeModel?: string,\n): ContextMeasurement {\n  const limit = resolveLimit(activeModel)\n  return cumulativeEstimate(db, sessionId, limit)\n}\n","// xray client — Phase 5.1\n// Fire-and-forget POST for tool events + GET for session tokens (used by coach context meter).\n// Silent on all failures: no stderr, no throw. Timeout 500ms for post, 300ms for get.\n\nimport type { ContextMeasurement } from '../lib/types.js'\nimport { resolveXrayUrl } from '../cli/config.js'\n\nconst POST_TIMEOUT_MS = 500\nconst GET_TIMEOUT_MS = 300\nconst DEFAULT_LIMIT = 200_000\n\ndeclare const __PKG_VERSION__: string\nconst VERSION = typeof __PKG_VERSION__ !== 'undefined' ? __PKG_VERSION__ : '0.1.0'\n\nexport interface PostToXrayOptions {\n  xrayUrl?: string\n  fetchImpl?: typeof fetch\n  timeoutMs?: number\n}\n\n/**\n * Fire-and-forget POST of a tool event to an xray server.\n * Returns true if the request was attempted, false if skipped (no URL).\n * Any network/parse error is swallowed silently.\n */\nexport async function postToXray(\n  event: Record<string, unknown>,\n  opts: PostToXrayOptions = {},\n): Promise<boolean> {\n  const xrayUrl = opts.xrayUrl ?? resolveXrayUrl()\n  if (!xrayUrl) return false\n  const fetchFn = opts.fetchImpl ?? fetch\n  const controller = new AbortController()\n  const timer = setTimeout(() => controller.abort(), opts.timeoutMs ?? POST_TIMEOUT_MS)\n  try {\n    await fetchFn(`${xrayUrl}/hooks/token-optimizer`, {\n      method: 'POST',\n      headers: { 'content-type': 'application/json' },\n      body: JSON.stringify({\n        source: 'token-optimizer-mcp',\n        version: VERSION,\n        event,\n      }),\n      signal: controller.signal,\n    })\n    return true\n  } catch {\n    return false\n  } finally {\n    clearTimeout(timer)\n  }\n}\n\nconst SUMMARY_TIMEOUT_MS = 2000\n\n/**\n * Fire-and-forget POST of session summary to xray.\n * Only called once per session (not in hot path), so allows longer timeout.\n */\nexport async function postSummaryToXray(\n  summary: Record<string, unknown>,\n  opts: PostToXrayOptions = {},\n): Promise<boolean> {\n  const xrayUrl = opts.xrayUrl ?? resolveXrayUrl()\n  if (!xrayUrl) return false\n  const fetchFn = opts.fetchImpl ?? fetch\n  const controller = new AbortController()\n  const timer = setTimeout(() => controller.abort(), opts.timeoutMs ?? SUMMARY_TIMEOUT_MS)\n  try {\n    await fetchFn(`${xrayUrl}/hooks/token-optimizer/summary`, {\n      method: 'POST',\n      headers: { 'content-type': 'application/json' },\n      body: JSON.stringify({\n        source: 'token-optimizer-mcp',\n        version: VERSION,\n        summary,\n      }),\n      signal: controller.signal,\n    })\n    return true\n  } catch {\n    return false\n  } finally {\n    clearTimeout(timer)\n  }\n}\n\nexport interface GetSessionTokensOptions {\n  xrayUrl?: string\n  fetchImpl?: typeof fetch\n  timeoutMs?: number\n}\n\n/**\n * Read real token counts from xray for a given session.\n * Returns null on any failure or when XRAY_URL is unset.\n */\nexport async function getSessionTokens(\n  sessionId: string,\n  opts: GetSessionTokensOptions = {},\n): Promise<ContextMeasurement | null> {\n  const xrayUrl = opts.xrayUrl ?? resolveXrayUrl()\n  if (!xrayUrl) return null\n  const fetchFn = opts.fetchImpl ?? fetch\n  const controller = new AbortController()\n  const timer = setTimeout(() => controller.abort(), opts.timeoutMs ?? GET_TIMEOUT_MS)\n  try {\n    const res = await fetchFn(\n      `${xrayUrl}/sessions/${encodeURIComponent(sessionId)}/tokens`,\n      { signal: controller.signal },\n    )\n    if (!res.ok) return null\n    const data = (await res.json()) as { tokens?: number; limit?: number }\n    const tokens = data.tokens ?? 0\n    const limit = data.limit ?? DEFAULT_LIMIT\n    return {\n      tokens,\n      limit,\n      percent: limit > 0 ? tokens / limit : 0,\n      estimation_method: 'measured_exact',\n    }\n  } catch {\n    return null\n  } finally {\n    clearTimeout(timer)\n  }\n}\n","// Surfacing dedupe + log writer — Phase 4.45\n// Writes to coach_surface_log with session+rule+tip+via+severity.\n\nimport type Database from 'better-sqlite3'\nimport type { DetectionHit } from '../lib/types.js'\n\ntype DB = Database.Database\n\nexport type SurfacedVia = 'sessionstart' | 'posttooluse' | 'mcp' | 'cli'\n\n/**\n * Returns true if this (session, rule, tip) was surfaced within the last\n * `windowSeconds` seconds. Used by the PostToolUse throttle path.\n */\nexport function checkDedupe(\n  db: DB,\n  sessionId: string,\n  ruleId: string,\n  tipId: string,\n  windowSeconds: number,\n): boolean {\n  const row = db\n    .prepare(\n      `SELECT 1 FROM coach_surface_log\n       WHERE session_id = ? AND rule_id = ? AND tip_id = ?\n         AND created_at > datetime('now', ?)\n       LIMIT 1`,\n    )\n    .get(sessionId, ruleId, tipId, `-${windowSeconds} seconds`) as unknown\n  return row !== undefined && row !== null\n}\n\nexport function logSurface(\n  db: DB,\n  sessionId: string,\n  hit: DetectionHit,\n  via: SurfacedVia,\n): void {\n  // Ensure session exists so FK succeeds\n  db.prepare(`INSERT OR IGNORE INTO sessions (id) VALUES (?)`).run(sessionId)\n  const stmt = db.prepare(\n    `INSERT INTO coach_surface_log (session_id, rule_id, tip_id, surfaced_via, severity)\n     VALUES (?, ?, ?, ?, ?)`,\n  )\n  for (const tipId of hit.tip_ids) {\n    stmt.run(sessionId, hit.rule_id, tipId, via, hit.severity)\n  }\n}\n\n/**\n * Log the list of hits under dedupe. A hit is considered \"fresh\" (to be\n * logged and returned to the caller) if at least one of its tip_ids was NOT\n * surfaced within `windowSeconds`. Returns only the surfaced hits.\n */\nexport function surfaceWithDedupe(\n  db: DB,\n  sessionId: string,\n  hits: DetectionHit[],\n  via: SurfacedVia,\n  windowSeconds: number,\n): DetectionHit[] {\n  const surfaced: DetectionHit[] = []\n  for (const hit of hits) {\n    const anyFresh = hit.tip_ids.some(\n      (tipId) => !checkDedupe(db, sessionId, hit.rule_id, tipId, windowSeconds),\n    )\n    if (anyFresh) {\n      logSurface(db, sessionId, hit, via)\n      surfaced.push(hit)\n    }\n  }\n  return surfaced\n}\n\n/**\n * Read all coach tips surfaced during a session, grouped by rule.\n * Used by session-summary-builder for xray integration.\n */\nexport function getCoachSurfaceLog(\n  db: DB,\n  sessionId: string,\n): Array<{ rule_id: string; tip_ids: string[]; severity: string }> {\n  const rows = db\n    .prepare(\n      `SELECT rule_id, tip_id, severity\n       FROM coach_surface_log\n       WHERE session_id = ?\n       ORDER BY created_at`,\n    )\n    .all(sessionId) as Array<{ rule_id: string; tip_id: string; severity: string }>\n\n  // Group tip_ids by rule_id\n  const map = new Map<string, { tip_ids: string[]; severity: string }>()\n  for (const row of rows) {\n    if (!map.has(row.rule_id)) {\n      map.set(row.rule_id, { tip_ids: [], severity: row.severity })\n    }\n    const entry = map.get(row.rule_id)!\n    if (!entry.tip_ids.includes(row.tip_id)) {\n      entry.tip_ids.push(row.tip_id)\n    }\n  }\n\n  return Array.from(map.entries()).map(([rule_id, v]) => ({\n    rule_id,\n    tip_ids: v.tip_ids,\n    severity: v.severity,\n  }))\n}\n\nexport function clearSurfaceLog(db: DB, sessionId?: string): number {\n  if (sessionId) {\n    const info = db.prepare(`DELETE FROM coach_surface_log WHERE session_id = ?`).run(sessionId)\n    return info.changes as number\n  }\n  const info = db.prepare(`DELETE FROM coach_surface_log`).run()\n  return info.changes as 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dist/chunk-BJYHIS4U.js

-#!/usr/bin/env node
-import {
-  BudgetManager
-} from "./chunk-XAYSOAZV.js";
-import {
-  buildQueries
-} from "./chunk-FT4EJUIT.js";
-
-// src/services/stats.ts
-var DAY_MS = 864e5;
-var HAIKU_INPUT_PER_MTOK = 1;
-var SONNET_INPUT_PER_MTOK = 3;
-var OPUS_INPUT_PER_MTOK = 5;
-function sinceDays(days) {
-  return new Date(Date.now() - days * DAY_MS).toISOString();
-}
-function getUsageStats(db, days = 7) {
-  const queries = buildQueries(db);
-  const since = sinceDays(days);
-  const byTool = queries.countToolCallsByTool(since);
-  const bySource = queries.countToolCallsBySource(since);
-  const totalTokens = bySource.reduce((sum, r) => sum + r.tokens, 0);
-  const totalEvents = bySource.reduce((sum, r) => sum + r.count, 0);
-  return {
-    period_days: days,
-    period_since: since,
-    by_tool: byTool,
-    by_source: bySource,
-    total_tokens: totalTokens,
-    total_events: totalEvents
-  };
-}
-function getCostReport(db, days = 7) {
-  const usage = getUsageStats(db, days);
-  const mtok = usage.total_tokens / 1e6;
-  const haiku = Number((mtok * HAIKU_INPUT_PER_MTOK).toFixed(4));
-  const sonnet = Number((mtok * SONNET_INPUT_PER_MTOK).toFixed(4));
-  const opus = Number((mtok * OPUS_INPUT_PER_MTOK).toFixed(4));
-  return {
-    period_days: days,
-    total_tokens: usage.total_tokens,
-    estimated_cost_usd_haiku: haiku,
-    estimated_cost_usd_sonnet: sonnet,
-    estimated_cost_usd_opus: opus,
-    estimated_cost_usd_min: haiku,
-    estimated_cost_usd_max: opus,
-    by_source: usage.by_source,
-    disclaimer: "Coste estimado de tokens de herramientas (input al modelo). Haiku $1, Sonnet $3, Opus $5 por MTok. Revisa tu factura Anthropic para el coste real."
-  };
-}
-function getActiveBudgetSummary(db, sessionId, projectHash) {
-  const mgr = new BudgetManager(db);
-  return mgr.checkBudget(sessionId, projectHash);
-}
-
-export {
-  getUsageStats,
-  getCostReport,
-  getActiveBudgetSummary
-};
-//# sourceMappingURL=chunk-BJYHIS4U.js.map

dist/chunk-BJYHIS4U.js.map

-{"version":3,"sources":["../src/services/stats.ts"],"sourcesContent":["// Shared stats service — Phase 4.4\n// Read-only aggregates used by CLI and MCP tools.\n\nimport type Database from 'better-sqlite3'\nimport { buildQueries, type ToolCountRow, type SourceCountRow } from '../db/queries.js'\nimport { BudgetManager } from './budget-manager.js'\nimport type { BudgetStatus } from '../lib/types.js'\n\ntype DB = Database.Database\n\nconst DAY_MS = 86_400_000\n// Pricing April 2026 — input tokens (tool output → model input)\n// Haiku 4.5: $1/$5, Sonnet 4.6: $3/$15, Opus 4.6: $5/$25 per MTok (input/output)\n// token-optimizer tracks tool output (= model input), so we use input pricing.\nconst HAIKU_INPUT_PER_MTOK = 1\nconst SONNET_INPUT_PER_MTOK = 3\nconst OPUS_INPUT_PER_MTOK = 5\n\nfunction sinceDays(days: number): string {\n  return new Date(Date.now() - days * DAY_MS).toISOString()\n}\n\nexport interface UsageStats {\n  period_days: number\n  period_since: string\n  by_tool: ToolCountRow[]\n  by_source: SourceCountRow[]\n  total_tokens: number\n  total_events: number\n}\n\nexport interface CostReport {\n  period_days: number\n  total_tokens: number\n  estimated_cost_usd_haiku: number\n  estimated_cost_usd_sonnet: number\n  estimated_cost_usd_opus: number\n  /** @deprecated Use estimated_cost_usd_haiku */\n  estimated_cost_usd_min: number\n  /** @deprecated Use estimated_cost_usd_opus */\n  estimated_cost_usd_max: number\n  by_source: SourceCountRow[]\n  disclaimer: string\n}\n\nexport interface SavingsToday {\n  date: string\n  by_source: SourceCountRow[]\n  total_tokens: number\n  note: string\n}\n\nexport function getUsageStats(db: DB, days = 7): UsageStats {\n  const queries = buildQueries(db)\n  const since = sinceDays(days)\n  const byTool = queries.countToolCallsByTool(since)\n  const bySource = queries.countToolCallsBySource(since)\n  const totalTokens = bySource.reduce((sum, r) => sum + r.tokens, 0)\n  const totalEvents = bySource.reduce((sum, r) => sum + r.count, 0)\n  return {\n    period_days: days,\n    period_since: since,\n    by_tool: byTool,\n    by_source: bySource,\n    total_tokens: totalTokens,\n    total_events: totalEvents,\n  }\n}\n\nexport function getCostReport(db: DB, days = 7): CostReport {\n  const usage = getUsageStats(db, days)\n  const mtok = usage.total_tokens / 1_000_000\n  const haiku = Number((mtok * HAIKU_INPUT_PER_MTOK).toFixed(4))\n  const sonnet = Number((mtok * SONNET_INPUT_PER_MTOK).toFixed(4))\n  const opus = Number((mtok * OPUS_INPUT_PER_MTOK).toFixed(4))\n  return {\n    period_days: days,\n    total_tokens: usage.total_tokens,\n    estimated_cost_usd_haiku: haiku,\n    estimated_cost_usd_sonnet: sonnet,\n    estimated_cost_usd_opus: opus,\n    estimated_cost_usd_min: haiku,\n    estimated_cost_usd_max: opus,\n    by_source: usage.by_source,\n    disclaimer:\n      'Coste estimado de tokens de herramientas (input al modelo). Haiku $1, Sonnet $3, Opus $5 por MTok. Revisa tu factura Anthropic para el coste real.',\n  }\n}\n\nexport function getActiveBudgetSummary(\n  db: DB,\n  sessionId: string,\n  projectHash: string | null,\n): BudgetStatus {\n  const mgr = new BudgetManager(db)\n  return mgr.checkBudget(sessionId, projectHash)\n}\n\nexport function getSavingsToday(db: DB): SavingsToday {\n  const queries = buildQueries(db)\n  const since = sinceDays(1)\n  const bySource = queries.countToolCallsBySource(since)\n  const total = bySource.reduce((sum, r) => sum + r.tokens, 0)\n  return {\n    date: new Date().toISOString().slice(0, 10),\n    by_source: bySource,\n    total_tokens: total,\n    note: 'Ahorros por fuente no medidos directamente; revisa el reporte para el split Medido/Estimado.',\n  }\n}\n"],"mappings":";;;;;;;;;AAUA,IAAM,SAAS;AAIf,IAAM,uBAAuB;AAC7B,IAAM,wBAAwB;AAC9B,IAAM,sBAAsB;AAE5B,SAAS,UAAU,MAAsB;AACvC,SAAO,IAAI,KAAK,KAAK,IAAI,IAAI,OAAO,MAAM,EAAE,YAAY;AAC1D;AAgCO,SAAS,cAAc,IAAQ,OAAO,GAAe;AAC1D,QAAM,UAAU,aAAa,EAAE;AAC/B,QAAM,QAAQ,UAAU,IAAI;AAC5B,QAAM,SAAS,QAAQ,qBAAqB,KAAK;AACjD,QAAM,WAAW,QAAQ,uBAAuB,KAAK;AACrD,QAAM,cAAc,SAAS,OAAO,CAAC,KAAK,MAAM,MAAM,EAAE,QAAQ,CAAC;AACjE,QAAM,cAAc,SAAS,OAAO,CAAC,KAAK,MAAM,MAAM,EAAE,OAAO,CAAC;AAChE,SAAO;AAAA,IACL,aAAa;AAAA,IACb,cAAc;AAAA,IACd,SAAS;AAAA,IACT,WAAW;AAAA,IACX,cAAc;AAAA,IACd,cAAc;AAAA,EAChB;AACF;AAEO,SAAS,cAAc,IAAQ,OAAO,GAAe;AAC1D,QAAM,QAAQ,cAAc,IAAI,IAAI;AACpC,QAAM,OAAO,MAAM,eAAe;AAClC,QAAM,QAAQ,QAAQ,OAAO,sBAAsB,QAAQ,CAAC,CAAC;AAC7D,QAAM,SAAS,QAAQ,OAAO,uBAAuB,QAAQ,CAAC,CAAC;AAC/D,QAAM,OAAO,QAAQ,OAAO,qBAAqB,QAAQ,CAAC,CAAC;AAC3D,SAAO;AAAA,IACL,aAAa;AAAA,IACb,cAAc,MAAM;AAAA,IACpB,0BAA0B;AAAA,IAC1B,2BAA2B;AAAA,IAC3B,yBAAyB;AAAA,IACzB,wBAAwB;AAAA,IACxB,wBAAwB;AAAA,IACxB,WAAW,MAAM;AAAA,IACjB,YACE;AAAA,EACJ;AACF;AAEO,SAAS,uBACd,IACA,WACA,aACc;AACd,QAAM,MAAM,IAAI,cAAc,EAAE;AAChC,SAAO,IAAI,YAAY,WAAW,WAAW;AAC/C;","names":[]}

dist/chunk-FT4EJUIT.js

-#!/usr/bin/env node
-
-// src/db/queries.ts
-function buildQueries(db) {
-  const insertSession = db.prepare(
-    `INSERT OR IGNORE INTO sessions (id, project_hash) VALUES (?, ?)`
-  );
-  const insertToolCall = db.prepare(
-    `INSERT INTO tool_calls (
-      session_id, tool_name, source, output_bytes,
-      tokens_estimated, tokens_actual, duration_ms, estimation_method,
-      shadow_delta_tokens, created_at
-    ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)`
-  );
-  const getToolCallsSince = db.prepare(
-    `SELECT * FROM tool_calls WHERE created_at >= ? ORDER BY created_at DESC`
-  );
-  const countToolCallsByTool = db.prepare(
-    `SELECT tool_name, COUNT(*) as count, COALESCE(SUM(tokens_estimated), 0) as tokens
-     FROM tool_calls WHERE created_at >= ?
-     GROUP BY tool_name ORDER BY tokens DESC`
-  );
-  const countToolCallsBySource = db.prepare(
-    `SELECT source, COUNT(*) as count, COALESCE(SUM(tokens_estimated), 0) as tokens
-     FROM tool_calls WHERE created_at >= ?
-     GROUP BY source ORDER BY tokens DESC`
-  );
-  const sumTokensBySession = db.prepare(
-    `SELECT COALESCE(SUM(tokens_estimated), 0) as total
-     FROM tool_calls WHERE session_id = ?`
-  );
-  const countToolCallsBySessionStmt = db.prepare(
-    `SELECT COUNT(*) as c FROM tool_calls WHERE session_id = ?`
-  );
-  const sumTokensBySessionSince = db.prepare(
-    `SELECT COALESCE(SUM(tokens_estimated), 0) as total
-     FROM tool_calls WHERE session_id = ? AND created_at >= ?`
-  );
-  const sumTokensByProjectSince = db.prepare(
-    `SELECT COALESCE(SUM(tc.tokens_estimated), 0) as total
-     FROM tool_calls tc
-     JOIN sessions s ON tc.session_id = s.id
-     WHERE s.project_hash = ? AND tc.created_at >= ?`
-  );
-  const insertToolCallMany = db.transaction((events) => {
-    for (const e of events) {
-      insertToolCall.run(
-        e.session_id,
-        e.tool_name,
-        e.source,
-        e.output_bytes,
-        e.tokens_estimated,
-        e.tokens_actual,
-        e.duration_ms,
-        e.estimation_method,
-        e.shadow_delta_tokens ?? null,
-        e.created_at
-      );
-    }
-  });
-  const insertSerenaTouch = db.prepare(
-    `INSERT INTO serena_symbol_touches (session_id, tool_name, relative_path, name_path)
-     VALUES (?, ?, ?, ?)`
-  );
-  const getRecentSerenaSymbols = db.prepare(
-    `SELECT tool_name, relative_path, name_path, created_at
-     FROM serena_symbol_touches
-     WHERE session_id = ?
-     ORDER BY created_at DESC LIMIT ?`
-  );
-  const insertRtkRewrite = db.prepare(
-    `INSERT INTO rtk_rewrites (session_id, command_hash, rewritten_to) VALUES (?, ?, ?)`
-  );
-  const findRtkMark = db.prepare(
-    `SELECT id, rewritten_to FROM rtk_rewrites
-     WHERE session_id = ? AND command_hash = ?
-       AND created_at >= datetime('now', '-60 seconds')
-     ORDER BY id DESC LIMIT 1`
-  );
-  const deleteRtkMarkById = db.prepare(`DELETE FROM rtk_rewrites WHERE id = ?`);
-  const purgeStaleRtkMarks = db.prepare(
-    `DELETE FROM rtk_rewrites WHERE created_at < datetime('now', '-60 seconds')`
-  );
-  const upsertMetaCounter = db.prepare(
-    `INSERT INTO meta (key, value) VALUES (?, '1')
-     ON CONFLICT(key) DO UPDATE SET value = CAST(value AS INTEGER) + 1`
-  );
-  const getMeta = db.prepare(`SELECT value FROM meta WHERE key = ?`);
-  const upsertBudget = db.prepare(
-    `INSERT INTO budgets (scope, scope_key, limit_tokens, mode)
-     VALUES (?, ?, ?, ?)
-     ON CONFLICT(scope, scope_key) DO UPDATE SET
-       limit_tokens = excluded.limit_tokens,
-       mode = excluded.mode`
-  );
-  const selectBudgetByScope = db.prepare(
-    `SELECT id, scope, scope_key, limit_tokens, spent_tokens, mode, created_at
-     FROM budgets WHERE scope = ? AND scope_key = ?`
-  );
-  const deleteBudgetByScope = db.prepare(
-    `DELETE FROM budgets WHERE scope = ? AND scope_key = ?`
-  );
-  const listBudgets = db.prepare(
-    `SELECT id, scope, scope_key, limit_tokens, spent_tokens, mode, created_at
-     FROM budgets ORDER BY created_at DESC`
-  );
-  const insertBudgetEvent = db.prepare(
-    `INSERT INTO budget_events (budget_id, event_type, tokens) VALUES (?, ?, ?)`
-  );
-  return {
-    // sessions
-    insertSession(id, projectHash) {
-      insertSession.run(id, projectHash);
-    },
-    // tool_calls
-    insertToolCall(event) {
-      insertToolCall.run(
-        event.session_id,
-        event.tool_name,
-        event.source,
-        event.output_bytes,
-        event.tokens_estimated,
-        event.tokens_actual,
-        event.duration_ms,
-        event.estimation_method,
-        event.shadow_delta_tokens ?? null,
-        event.created_at
-      );
-    },
-    insertToolCallMany(events) {
-      insertToolCallMany(events);
-    },
-    getToolCallsSince(timestamp) {
-      return getToolCallsSince.all(timestamp);
-    },
-    countToolCallsByTool(since) {
-      return countToolCallsByTool.all(since);
-    },
-    countToolCallsBySource(since) {
-      return countToolCallsBySource.all(since);
-    },
-    sumTokensBySession(sessionId) {
-      const row = sumTokensBySession.get(sessionId);
-      return row?.total ?? 0;
-    },
-    countToolCallsBySession(sessionId) {
-      const row = countToolCallsBySessionStmt.get(sessionId);
-      return row?.c ?? 0;
-    },
-    sumTokensBySessionSince(sessionId, since) {
-      const row = sumTokensBySessionSince.get(sessionId, since);
-      return row?.total ?? 0;
-    },
-    sumTokensByProjectSince(projectHash, since) {
-      const row = sumTokensByProjectSince.get(projectHash, since);
-      return row?.total ?? 0;
-    },
-    // meta
-    upsertMetaCounter(key) {
-      upsertMetaCounter.run(key);
-    },
-    getMeta(key) {
-      const row = getMeta.get(key);
-      return row?.value ?? null;
-    },
-    // budgets
-    upsertBudget(scope, scopeKey, limitTokens, mode) {
-      upsertBudget.run(scope, scopeKey, limitTokens, mode);
-    },
-    getBudgetByScope(scope, scopeKey) {
-      const row = selectBudgetByScope.get(scope, scopeKey);
-      return row ?? null;
-    },
-    deleteBudgetByScope(scope, scopeKey) {
-      const info = deleteBudgetByScope.run(scope, scopeKey);
-      return info.changes;
-    },
-    listBudgets() {
-      return listBudgets.all();
-    },
-    insertBudgetEvent(budgetId, eventType, tokens) {
-      insertBudgetEvent.run(budgetId, eventType, tokens);
-    },
-    // rtk rewrites
-    insertRtkRewrite(sessionId, commandHash, rewrittenTo) {
-      insertRtkRewrite.run(sessionId, commandHash, rewrittenTo);
-    },
-    /**
-     * Look up and consume an RTK rewrite mark. Returns the rewritten command if
-     * there was a mark for this (session, hash) within the last 60 s, or null.
-     * The row is deleted on match so it cannot be double-consumed.
-     */
-    consumeRtkRewrite(sessionId, commandHash) {
-      const row = findRtkMark.get(sessionId, commandHash);
-      if (!row) return null;
-      deleteRtkMarkById.run(row.id);
-      return row.rewritten_to;
-    },
-    purgeStaleRtkMarks() {
-      const info = purgeStaleRtkMarks.run();
-      return info.changes;
-    },
-    // serena symbol touches
-    insertSerenaTouch(sessionId, toolName, relativePath, namePath) {
-      insertSerenaTouch.run(sessionId, toolName, relativePath, namePath);
-    },
-    getRecentSerenaSymbols(sessionId, limit) {
-      return getRecentSerenaSymbols.all(sessionId, limit);
-    }
-  };
-}
-
-export {
-  buildQueries
-};
-//# sourceMappingURL=chunk-FT4EJUIT.js.map

dist/chunk-FT4EJUIT.js.map

-{"version":3,"sources":["../src/db/queries.ts"],"sourcesContent":["// Prepared statement factory — Phase 1.7 + 2.2\n\nimport type Database from 'better-sqlite3'\nimport type { ToolEvent, Budget, BudgetScope, BudgetMode } from '../lib/types.js'\n\ntype DB = Database.Database\n\nexport interface ToolCountRow {\n  tool_name: string\n  count: number\n  tokens: number\n}\n\nexport interface SourceCountRow {\n  source: string\n  count: number\n  tokens: number\n}\n\nexport function buildQueries(db: DB) {\n  // ── sessions ──\n  const insertSession = db.prepare(\n    `INSERT OR IGNORE INTO sessions (id, project_hash) VALUES (?, ?)`,\n  )\n\n  // ── tool_calls ──\n  const insertToolCall = db.prepare(\n    `INSERT INTO tool_calls (\n      session_id, tool_name, source, output_bytes,\n      tokens_estimated, tokens_actual, duration_ms, estimation_method,\n      shadow_delta_tokens, created_at\n    ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)`,\n  )\n\n  const getToolCallsSince = db.prepare(\n    `SELECT * FROM tool_calls WHERE created_at >= ? ORDER BY created_at DESC`,\n  )\n\n  const countToolCallsByTool = db.prepare(\n    `SELECT tool_name, COUNT(*) as count, COALESCE(SUM(tokens_estimated), 0) as tokens\n     FROM tool_calls WHERE created_at >= ?\n     GROUP BY tool_name ORDER BY tokens DESC`,\n  )\n\n  const countToolCallsBySource = db.prepare(\n    `SELECT source, COUNT(*) as count, COALESCE(SUM(tokens_estimated), 0) as tokens\n     FROM tool_calls WHERE created_at >= ?\n     GROUP BY source ORDER BY tokens DESC`,\n  )\n\n  const sumTokensBySession = db.prepare(\n    `SELECT COALESCE(SUM(tokens_estimated), 0) as total\n     FROM tool_calls WHERE session_id = ?`,\n  )\n\n  const countToolCallsBySessionStmt = db.prepare(\n    `SELECT COUNT(*) as c FROM tool_calls WHERE session_id = ?`,\n  )\n\n  const sumTokensBySessionSince = db.prepare(\n    `SELECT COALESCE(SUM(tokens_estimated), 0) as total\n     FROM tool_calls WHERE session_id = ? AND created_at >= ?`,\n  )\n\n  const sumTokensByProjectSince = db.prepare(\n    `SELECT COALESCE(SUM(tc.tokens_estimated), 0) as total\n     FROM tool_calls tc\n     JOIN sessions s ON tc.session_id = s.id\n     WHERE s.project_hash = ? AND tc.created_at >= ?`,\n  )\n\n  const insertToolCallMany = db.transaction((events: readonly ToolEvent[]) => {\n    for (const e of events) {\n      insertToolCall.run(\n        e.session_id,\n        e.tool_name,\n        e.source,\n        e.output_bytes,\n        e.tokens_estimated,\n        e.tokens_actual,\n        e.duration_ms,\n        e.estimation_method,\n        e.shadow_delta_tokens ?? null,\n        e.created_at,\n      )\n    }\n  })\n\n  // ── serena_symbol_touches ──\n  const insertSerenaTouch = db.prepare(\n    `INSERT INTO serena_symbol_touches (session_id, tool_name, relative_path, name_path)\n     VALUES (?, ?, ?, ?)`,\n  )\n\n  const getRecentSerenaSymbols = db.prepare(\n    `SELECT tool_name, relative_path, name_path, created_at\n     FROM serena_symbol_touches\n     WHERE session_id = ?\n     ORDER BY created_at DESC LIMIT ?`,\n  )\n\n  // ── meta ──\n  // ── rtk_rewrites ──\n  const insertRtkRewrite = db.prepare(\n    `INSERT INTO rtk_rewrites (session_id, command_hash, rewritten_to) VALUES (?, ?, ?)`,\n  )\n  // Consume (look up AND delete) the most recent matching mark. If the PostToolUse\n  // hook finds a mark for this (session, command_hash), the call was rewritten by\n  // rtk in PreToolUse and must be reclassified as source=rtk. We bound the lookup\n  // to 60 s so stale marks never poison future events.\n  const findRtkMark = db.prepare(\n    `SELECT id, rewritten_to FROM rtk_rewrites\n     WHERE session_id = ? AND command_hash = ?\n       AND created_at >= datetime('now', '-60 seconds')\n     ORDER BY id DESC LIMIT 1`,\n  )\n  const deleteRtkMarkById = db.prepare(`DELETE FROM rtk_rewrites WHERE id = ?`)\n  const purgeStaleRtkMarks = db.prepare(\n    `DELETE FROM rtk_rewrites WHERE created_at < datetime('now', '-60 seconds')`,\n  )\n\n  const upsertMetaCounter = db.prepare(\n    `INSERT INTO meta (key, value) VALUES (?, '1')\n     ON CONFLICT(key) DO UPDATE SET value = CAST(value AS INTEGER) + 1`,\n  )\n\n  const getMeta = db.prepare(`SELECT value FROM meta WHERE key = ?`)\n\n  // ── budgets ──\n  const upsertBudget = db.prepare(\n    `INSERT INTO budgets (scope, scope_key, limit_tokens, mode)\n     VALUES (?, ?, ?, ?)\n     ON CONFLICT(scope, scope_key) DO UPDATE SET\n       limit_tokens = excluded.limit_tokens,\n       mode = excluded.mode`,\n  )\n\n  const selectBudgetByScope = db.prepare(\n    `SELECT id, scope, scope_key, limit_tokens, spent_tokens, mode, created_at\n     FROM budgets WHERE scope = ? AND scope_key = ?`,\n  )\n\n  const deleteBudgetByScope = db.prepare(\n    `DELETE FROM budgets WHERE scope = ? AND scope_key = ?`,\n  )\n\n  const listBudgets = db.prepare(\n    `SELECT id, scope, scope_key, limit_tokens, spent_tokens, mode, created_at\n     FROM budgets ORDER BY created_at DESC`,\n  )\n\n  const insertBudgetEvent = db.prepare(\n    `INSERT INTO budget_events (budget_id, event_type, tokens) VALUES (?, ?, ?)`,\n  )\n\n  return {\n    // sessions\n    insertSession(id: string, projectHash: string | null) {\n      insertSession.run(id, projectHash)\n    },\n\n    // tool_calls\n    insertToolCall(event: ToolEvent) {\n      insertToolCall.run(\n        event.session_id,\n        event.tool_name,\n        event.source,\n        event.output_bytes,\n        event.tokens_estimated,\n        event.tokens_actual,\n        event.duration_ms,\n        event.estimation_method,\n        event.shadow_delta_tokens ?? null,\n        event.created_at,\n      )\n    },\n    insertToolCallMany(events: readonly ToolEvent[]) {\n      insertToolCallMany(events)\n    },\n    getToolCallsSince(timestamp: string) {\n      return getToolCallsSince.all(timestamp)\n    },\n    countToolCallsByTool(since: string): ToolCountRow[] {\n      return countToolCallsByTool.all(since) as ToolCountRow[]\n    },\n    countToolCallsBySource(since: string): SourceCountRow[] {\n      return countToolCallsBySource.all(since) as SourceCountRow[]\n    },\n    sumTokensBySession(sessionId: string): number {\n      const row = sumTokensBySession.get(sessionId) as { total: number } | undefined\n      return row?.total ?? 0\n    },\n    countToolCallsBySession(sessionId: string): number {\n      const row = countToolCallsBySessionStmt.get(sessionId) as { c: number } | undefined\n      return row?.c ?? 0\n    },\n    sumTokensBySessionSince(sessionId: string, since: string): number {\n      const row = sumTokensBySessionSince.get(sessionId, since) as { total: number } | undefined\n      return row?.total ?? 0\n    },\n    sumTokensByProjectSince(projectHash: string, since: string): number {\n      const row = sumTokensByProjectSince.get(projectHash, since) as { total: number } | undefined\n      return row?.total ?? 0\n    },\n\n    // meta\n    upsertMetaCounter(key: string) {\n      upsertMetaCounter.run(key)\n    },\n    getMeta(key: string): string | null {\n      const row = getMeta.get(key) as { value: string } | undefined\n      return row?.value ?? null\n    },\n\n    // budgets\n    upsertBudget(scope: BudgetScope, scopeKey: string, limitTokens: number, mode: BudgetMode) {\n      upsertBudget.run(scope, scopeKey, limitTokens, mode)\n    },\n    getBudgetByScope(scope: BudgetScope, scopeKey: string): Budget | null {\n      const row = selectBudgetByScope.get(scope, scopeKey) as Budget | undefined\n      return row ?? null\n    },\n    deleteBudgetByScope(scope: BudgetScope, scopeKey: string): number {\n      const info = deleteBudgetByScope.run(scope, scopeKey)\n      return info.changes as number\n    },\n    listBudgets(): Budget[] {\n      return listBudgets.all() as Budget[]\n    },\n    insertBudgetEvent(budgetId: number, eventType: string, tokens: number | null) {\n      insertBudgetEvent.run(budgetId, eventType, tokens)\n    },\n\n    // rtk rewrites\n    insertRtkRewrite(sessionId: string, commandHash: string, rewrittenTo: string) {\n      insertRtkRewrite.run(sessionId, commandHash, rewrittenTo)\n    },\n    /**\n     * Look up and consume an RTK rewrite mark. Returns the rewritten command if\n     * there was a mark for this (session, hash) within the last 60 s, or null.\n     * The row is deleted on match so it cannot be double-consumed.\n     */\n    consumeRtkRewrite(sessionId: string, commandHash: string): string | null {\n      const row = findRtkMark.get(sessionId, commandHash) as\n        | { id: number; rewritten_to: string }\n        | undefined\n      if (!row) return null\n      deleteRtkMarkById.run(row.id)\n      return row.rewritten_to\n    },\n    purgeStaleRtkMarks(): number {\n      const info = purgeStaleRtkMarks.run()\n      return info.changes as number\n    },\n\n    // serena symbol touches\n    insertSerenaTouch(\n      sessionId: string,\n      toolName: string,\n      relativePath: string,\n      namePath: string | null,\n    ) {\n      insertSerenaTouch.run(sessionId, toolName, relativePath, namePath)\n    },\n    getRecentSerenaSymbols(\n      sessionId: string,\n      limit: number,\n    ): { tool_name: string; relative_path: string; name_path: string | null; created_at: string }[] {\n      return getRecentSerenaSymbols.all(sessionId, limit) as {\n        tool_name: string\n        relative_path: string\n        name_path: string | null\n        created_at: string\n      }[]\n    },\n  }\n}\n\nexport type Queries = ReturnType<typeof buildQueries>\n"],"mappings":";;;AAmBO,SAAS,aAAa,IAAQ;AAEnC,QAAM,gBAAgB,GAAG;AAAA,IACvB;AAAA,EACF;AAGA,QAAM,iBAAiB,GAAG;AAAA,IACxB;AAAA;AAAA;AAAA;AAAA;AAAA,EAKF;AAEA,QAAM,oBAAoB,GAAG;AAAA,IAC3B;AAAA,EACF;AAEA,QAAM,uBAAuB,GAAG;AAAA,IAC9B;AAAA;AAAA;AAAA,EAGF;AAEA,QAAM,yBAAyB,GAAG;AAAA,IAChC;AAAA;AAAA;AAAA,EAGF;AAEA,QAAM,qBAAqB,GAAG;AAAA,IAC5B;AAAA;AAAA,EAEF;AAEA,QAAM,8BAA8B,GAAG;AAAA,IACrC;AAAA,EACF;AAEA,QAAM,0BAA0B,GAAG;AAAA,IACjC;AAAA;AAAA,EAEF;AAEA,QAAM,0BAA0B,GAAG;AAAA,IACjC;AAAA;AAAA;AAAA;AAAA,EAIF;AAEA,QAAM,qBAAqB,GAAG,YAAY,CAAC,WAAiC;AAC1E,eAAW,KAAK,QAAQ;AACtB,qBAAe;AAAA,QACb,EAAE;AAAA,QACF,EAAE;AAAA,QACF,EAAE;AAAA,QACF,EAAE;AAAA,QACF,EAAE;AAAA,QACF,EAAE;AAAA,QACF,EAAE;AAAA,QACF,EAAE;AAAA,QACF,EAAE,uBAAuB;AAAA,QACzB,EAAE;AAAA,MACJ;AAAA,IACF;AAAA,EACF,CAAC;AAGD,QAAM,oBAAoB,GAAG;AAAA,IAC3B;AAAA;AAAA,EAEF;AAEA,QAAM,yBAAyB,GAAG;AAAA,IAChC;AAAA;AAAA;AAAA;AAAA,EAIF;AAIA,QAAM,mBAAmB,GAAG;AAAA,IAC1B;AAAA,EACF;AAKA,QAAM,cAAc,GAAG;AAAA,IACrB;AAAA;AAAA;AAAA;AAAA,EAIF;AACA,QAAM,oBAAoB,GAAG,QAAQ,uCAAuC;AAC5E,QAAM,qBAAqB,GAAG;AAAA,IAC5B;AAAA,EACF;AAEA,QAAM,oBAAoB,GAAG;AAAA,IAC3B;AAAA;AAAA,EAEF;AAEA,QAAM,UAAU,GAAG,QAAQ,sCAAsC;AAGjE,QAAM,eAAe,GAAG;AAAA,IACtB;AAAA;AAAA;AAAA;AAAA;AAAA,EAKF;AAEA,QAAM,sBAAsB,GAAG;AAAA,IAC7B;AAAA;AAAA,EAEF;AAEA,QAAM,sBAAsB,GAAG;AAAA,IAC7B;AAAA,EACF;AAEA,QAAM,cAAc,GAAG;AAAA,IACrB;AAAA;AAAA,EAEF;AAEA,QAAM,oBAAoB,GAAG;AAAA,IAC3B;AAAA,EACF;AAEA,SAAO;AAAA;AAAA,IAEL,cAAc,IAAY,aAA4B;AACpD,oBAAc,IAAI,IAAI,WAAW;AAAA,IACnC;AAAA;AAAA,IAGA,eAAe,OAAkB;AAC/B,qBAAe;AAAA,QACb,MAAM;AAAA,QACN,MAAM;AAAA,QACN,MAAM;AAAA,QACN,MAAM;AAAA,QACN,MAAM;AAAA,QACN,MAAM;AAAA,QACN,MAAM;AAAA,QACN,MAAM;AAAA,QACN,MAAM,uBAAuB;AAAA,QAC7B,MAAM;AAAA,MACR;AAAA,IACF;AAAA,IACA,mBAAmB,QAA8B;AAC/C,yBAAmB,MAAM;AAAA,IAC3B;AAAA,IACA,kBAAkB,WAAmB;AACnC,aAAO,kBAAkB,IAAI,SAAS;AAAA,IACxC;AAAA,IACA,qBAAqB,OAA+B;AAClD,aAAO,qBAAqB,IAAI,KAAK;AAAA,IACvC;AAAA,IACA,uBAAuB,OAAiC;AACtD,aAAO,uBAAuB,IAAI,KAAK;AAAA,IACzC;AAAA,IACA,mBAAmB,WAA2B;AAC5C,YAAM,MAAM,mBAAmB,IAAI,SAAS;AAC5C,aAAO,KAAK,SAAS;AAAA,IACvB;AAAA,IACA,wBAAwB,WAA2B;AACjD,YAAM,MAAM,4BAA4B,IAAI,SAAS;AACrD,aAAO,KAAK,KAAK;AAAA,IACnB;AAAA,IACA,wBAAwB,WAAmB,OAAuB;AAChE,YAAM,MAAM,wBAAwB,IAAI,WAAW,KAAK;AACxD,aAAO,KAAK,SAAS;AAAA,IACvB;AAAA,IACA,wBAAwB,aAAqB,OAAuB;AAClE,YAAM,MAAM,wBAAwB,IAAI,aAAa,KAAK;AAC1D,aAAO,KAAK,SAAS;AAAA,IACvB;AAAA;AAAA,IAGA,kBAAkB,KAAa;AAC7B,wBAAkB,IAAI,GAAG;AAAA,IAC3B;AAAA,IACA,QAAQ,KAA4B;AAClC,YAAM,MAAM,QAAQ,IAAI,GAAG;AAC3B,aAAO,KAAK,SAAS;AAAA,IACvB;AAAA;AAAA,IAGA,aAAa,OAAoB,UAAkB,aAAqB,MAAkB;AACxF,mBAAa,IAAI,OAAO,UAAU,aAAa,IAAI;AAAA,IACrD;AAAA,IACA,iBAAiB,OAAoB,UAAiC;AACpE,YAAM,MAAM,oBAAoB,IAAI,OAAO,QAAQ;AACnD,aAAO,OAAO;AAAA,IAChB;AAAA,IACA,oBAAoB,OAAoB,UAA0B;AAChE,YAAM,OAAO,oBAAoB,IAAI,OAAO,QAAQ;AACpD,aAAO,KAAK;AAAA,IACd;AAAA,IACA,cAAwB;AACtB,aAAO,YAAY,IAAI;AAAA,IACzB;AAAA,IACA,kBAAkB,UAAkB,WAAmB,QAAuB;AAC5E,wBAAkB,IAAI,UAAU,WAAW,MAAM;AAAA,IACnD;AAAA;AAAA,IAGA,iBAAiB,WAAmB,aAAqB,aAAqB;AAC5E,uBAAiB,IAAI,WAAW,aAAa,WAAW;AAAA,IAC1D;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,IAMA,kBAAkB,WAAmB,aAAoC;AACvE,YAAM,MAAM,YAAY,IAAI,WAAW,WAAW;AAGlD,UAAI,CAAC,IAAK,QAAO;AACjB,wBAAkB,IAAI,IAAI,EAAE;AAC5B,aAAO,IAAI;AAAA,IACb;AAAA,IACA,qBAA6B;AAC3B,YAAM,OAAO,mBAAmB,IAAI;AACpC,aAAO,KAAK;AAAA,IACd;AAAA;AAAA,IAGA,kBACE,WACA,UACA,cACA,UACA;AACA,wBAAkB,IAAI,WAAW,UAAU,cAAc,QAAQ;AAAA,IACnE;AAAA,IACA,uBACE,WACA,OAC8F;AAC9F,aAAO,uBAAuB,IAAI,WAAW,KAAK;AAAA,IAMpD;AAAA,EACF;AACF;","names":[]}

dist/chunk-L4GG4274.js

-#!/usr/bin/env node
-
-// src/db/connection.ts
-import Database from "better-sqlite3";
-import fs from "fs";
-import path from "path";
-
-// src/db/schema.ts
-var SCHEMA_SQL = `
-CREATE TABLE IF NOT EXISTS sessions (
-  id TEXT PRIMARY KEY,
-  project_hash TEXT,
-  started_at TEXT NOT NULL DEFAULT (datetime('now'))
-);
-
-CREATE TABLE IF NOT EXISTS tool_calls (
-  id INTEGER PRIMARY KEY AUTOINCREMENT,
-  session_id TEXT NOT NULL REFERENCES sessions(id) ON DELETE CASCADE,
-  tool_name TEXT NOT NULL,
-  source TEXT NOT NULL,
-  output_bytes INTEGER NOT NULL,
-  tokens_estimated INTEGER NOT NULL,
-  tokens_actual INTEGER,
-  duration_ms INTEGER,
-  estimation_method TEXT,
-  shadow_delta_tokens INTEGER,
-  created_at TEXT NOT NULL DEFAULT (datetime('now'))
-);
-
-CREATE INDEX IF NOT EXISTS idx_tool_calls_session ON tool_calls(session_id, created_at DESC);
-CREATE INDEX IF NOT EXISTS idx_tool_calls_tool ON tool_calls(tool_name);
-CREATE INDEX IF NOT EXISTS idx_tool_calls_source ON tool_calls(source);
-
-CREATE TABLE IF NOT EXISTS budgets (
-  id INTEGER PRIMARY KEY AUTOINCREMENT,
-  scope TEXT NOT NULL CHECK(scope IN ('session', 'project')),
-  scope_key TEXT NOT NULL,
-  limit_tokens INTEGER NOT NULL CHECK(limit_tokens > 0),
-  spent_tokens INTEGER NOT NULL DEFAULT 0,
-  mode TEXT NOT NULL CHECK(mode IN ('warn')),
-  created_at TEXT NOT NULL DEFAULT (datetime('now')),
-  UNIQUE(scope, scope_key)
-);
-
-CREATE TABLE IF NOT EXISTS budget_events (
-  id INTEGER PRIMARY KEY AUTOINCREMENT,
-  budget_id INTEGER NOT NULL REFERENCES budgets(id) ON DELETE CASCADE,
-  event_type TEXT NOT NULL CHECK(event_type IN ('spend', 'warn', 'reset')),
-  tokens INTEGER,
-  created_at TEXT NOT NULL DEFAULT (datetime('now'))
-);
-
-CREATE TABLE IF NOT EXISTS optimization_snapshots (
-  id INTEGER PRIMARY KEY AUTOINCREMENT,
-  method TEXT NOT NULL,
-  details TEXT,
-  created_at TEXT NOT NULL DEFAULT (datetime('now'))
-);
-
-CREATE TABLE IF NOT EXISTS coach_surface_log (
-  id INTEGER PRIMARY KEY AUTOINCREMENT,
-  session_id TEXT NOT NULL REFERENCES sessions(id) ON DELETE CASCADE,
-  rule_id TEXT NOT NULL,
-  tip_id TEXT NOT NULL,
-  surfaced_via TEXT NOT NULL,
-  severity TEXT NOT NULL,
-  created_at TEXT NOT NULL DEFAULT (datetime('now'))
-);
-
-CREATE INDEX IF NOT EXISTS idx_coach_surface_log_session
-  ON coach_surface_log(session_id, created_at DESC);
-
-CREATE TABLE IF NOT EXISTS meta (
-  key TEXT PRIMARY KEY,
-  value TEXT NOT NULL
-);
-
--- Pending RTK rewrites. PreToolUse writes a row when it rewrites a Bash command
--- via rtk rewrite; PostToolUse consumes it to reclassify the event as source=rtk.
--- The PostToolUse hook only sees the ORIGINAL command (what Claude asked for),
--- not the command Claude Code actually executed after PreToolUse mutation. This
--- table bridges the gap so stats reflect the real RTK activity.
-CREATE TABLE IF NOT EXISTS rtk_rewrites (
-  id INTEGER PRIMARY KEY AUTOINCREMENT,
-  session_id TEXT NOT NULL,
-  command_hash TEXT NOT NULL,
-  rewritten_to TEXT NOT NULL,
-  created_at TEXT NOT NULL DEFAULT (datetime('now'))
-);
-
-CREATE INDEX IF NOT EXISTS idx_rtk_rewrites_lookup
-  ON rtk_rewrites(session_id, command_hash, created_at DESC);
-
--- Serena symbol touches. PostToolUse writes a row for each Serena read tool call
--- that includes a relative_path, so SessionStart:compact can re-inject relevant
--- symbols when context is reset.
-CREATE TABLE IF NOT EXISTS serena_symbol_touches (
-  id INTEGER PRIMARY KEY AUTOINCREMENT,
-  session_id TEXT NOT NULL REFERENCES sessions(id) ON DELETE CASCADE,
-  tool_name TEXT NOT NULL,
-  relative_path TEXT NOT NULL,
-  name_path TEXT,
-  created_at TEXT NOT NULL DEFAULT (datetime('now'))
-);
-
-CREATE INDEX IF NOT EXISTS idx_serena_symbol_touches_session
-  ON serena_symbol_touches(session_id, created_at DESC);
-`;
-
-// src/db/connection.ts
-var dbInstance = null;
-var currentPath = null;
-function migrateLegacyToolCallsSchema(db) {
-  const cols = db.prepare(`PRAGMA table_info('tool_calls')`).all();
-  if (cols.length === 0) return;
-  const hasInputHash = cols.some((c) => c.name === "input_hash");
-  if (!hasInputHash) return;
-  db.exec(`
-    DROP TRIGGER IF EXISTS tool_calls_ai;
-    DROP TRIGGER IF EXISTS tool_calls_ad;
-    DROP TABLE IF EXISTS events_fts;
-  `);
-  const migrate = db.transaction(() => {
-    db.exec(`
-      CREATE TABLE tool_calls_new (
-        id INTEGER PRIMARY KEY AUTOINCREMENT,
-        session_id TEXT NOT NULL REFERENCES sessions(id) ON DELETE CASCADE,
-        tool_name TEXT NOT NULL,
-        source TEXT NOT NULL,
-        output_bytes INTEGER NOT NULL,
-        tokens_estimated INTEGER NOT NULL,
-        tokens_actual INTEGER,
-        duration_ms INTEGER,
-        estimation_method TEXT,
-        created_at TEXT NOT NULL DEFAULT (datetime('now'))
-      );
-      INSERT INTO tool_calls_new (
-        id, session_id, tool_name, source, output_bytes,
-        tokens_estimated, tokens_actual, duration_ms, estimation_method, created_at
-      )
-      SELECT id, session_id, tool_name, source, output_bytes,
-             tokens_estimated, tokens_actual, duration_ms, estimation_method, created_at
-      FROM tool_calls;
-      DROP TABLE tool_calls;
-      ALTER TABLE tool_calls_new RENAME TO tool_calls;
-      CREATE INDEX IF NOT EXISTS idx_tool_calls_session ON tool_calls(session_id, created_at DESC);
-      CREATE INDEX IF NOT EXISTS idx_tool_calls_tool ON tool_calls(tool_name);
-      CREATE INDEX IF NOT EXISTS idx_tool_calls_source ON tool_calls(source);
-    `);
-  });
-  migrate();
-}
-function migrateAddShadowDeltaTokens(db) {
-  const cols = db.prepare(`PRAGMA table_info('tool_calls')`).all();
-  if (cols.some((c) => c.name === "shadow_delta_tokens")) return;
-  db.exec(`ALTER TABLE tool_calls ADD COLUMN shadow_delta_tokens INTEGER`);
-}
-function getDb(dbPath) {
-  const resolvedPath = dbPath ?? ":memory:";
-  if (dbInstance && currentPath === resolvedPath) {
-    return dbInstance;
-  }
-  if (dbInstance && currentPath !== resolvedPath) {
-    try {
-      dbInstance.close();
-    } catch {
-    }
-    dbInstance = null;
-  }
-  if (resolvedPath !== ":memory:") {
-    const dir = path.dirname(resolvedPath);
-    if (!fs.existsSync(dir)) {
-      fs.mkdirSync(dir, { recursive: true });
-    }
-  }
-  const db = new Database(resolvedPath);
-  db.pragma("journal_mode = WAL");
-  db.pragma("foreign_keys = ON");
-  db.exec(SCHEMA_SQL);
-  migrateLegacyToolCallsSchema(db);
-  migrateAddShadowDeltaTokens(db);
-  dbInstance = db;
-  currentPath = resolvedPath;
-  return db;
-}
-
-export {
-  getDb
-};
-//# sourceMappingURL=chunk-L4GG4274.js.map

dist/chunk-L4GG4274.js.map

-{"version":3,"sources":["../src/db/connection.ts","../src/db/schema.ts"],"sourcesContent":["// getDb() singleton with WAL + FK — Phase 1.3\n\nimport Database from 'better-sqlite3'\nimport fs from 'node:fs'\nimport path from 'node:path'\nimport { SCHEMA_SQL } from './schema.js'\n\ntype DB = Database.Database\n\nlet dbInstance: DB | null = null\nlet currentPath: string | null = null\n\n/**\n * Migrate legacy tool_calls schema to the current simplified one.\n *\n * DBs created before Phase 1.2 had: input_hash TEXT NOT NULL, tool_input_summary TEXT, content TEXT,\n * plus FTS5 virtual table events_fts with AFTER INSERT/DELETE triggers referencing `content`.\n *\n * The current code no longer passes input_hash or content, so inserts on legacy DBs fail silently\n * with \"NOT NULL constraint failed: tool_calls.input_hash\" — data is lost, droppedEvents counter grows.\n *\n * This migration rebuilds tool_calls with the current schema, preserving historical rows.\n */\nfunction migrateLegacyToolCallsSchema(db: DB): void {\n  const cols = db.prepare(`PRAGMA table_info('tool_calls')`).all() as Array<{ name: string }>\n  if (cols.length === 0) return // table didn't exist yet, SCHEMA_SQL just created it clean\n  const hasInputHash = cols.some((c) => c.name === 'input_hash')\n  if (!hasInputHash) return // already migrated\n\n  // Drop FTS5 triggers that reference `content` before we touch the table\n  db.exec(`\n    DROP TRIGGER IF EXISTS tool_calls_ai;\n    DROP TRIGGER IF EXISTS tool_calls_ad;\n    DROP TABLE IF EXISTS events_fts;\n  `)\n\n  // Rebuild tool_calls with the new schema. Wrap in a transaction for atomicity.\n  const migrate = db.transaction(() => {\n    db.exec(`\n      CREATE TABLE tool_calls_new (\n        id INTEGER PRIMARY KEY AUTOINCREMENT,\n        session_id TEXT NOT NULL REFERENCES sessions(id) ON DELETE CASCADE,\n        tool_name TEXT NOT NULL,\n        source TEXT NOT NULL,\n        output_bytes INTEGER NOT NULL,\n        tokens_estimated INTEGER NOT NULL,\n        tokens_actual INTEGER,\n        duration_ms INTEGER,\n        estimation_method TEXT,\n        created_at TEXT NOT NULL DEFAULT (datetime('now'))\n      );\n      INSERT INTO tool_calls_new (\n        id, session_id, tool_name, source, output_bytes,\n        tokens_estimated, tokens_actual, duration_ms, estimation_method, created_at\n      )\n      SELECT id, session_id, tool_name, source, output_bytes,\n             tokens_estimated, tokens_actual, duration_ms, estimation_method, created_at\n      FROM tool_calls;\n      DROP TABLE tool_calls;\n      ALTER TABLE tool_calls_new RENAME TO tool_calls;\n      CREATE INDEX IF NOT EXISTS idx_tool_calls_session ON tool_calls(session_id, created_at DESC);\n      CREATE INDEX IF NOT EXISTS idx_tool_calls_tool ON tool_calls(tool_name);\n      CREATE INDEX IF NOT EXISTS idx_tool_calls_source ON tool_calls(source);\n    `)\n  })\n  migrate()\n}\n\n/** Add shadow_delta_tokens column to existing DBs that were created before Sprint C. */\nfunction migrateAddShadowDeltaTokens(db: DB): void {\n  const cols = db.prepare(`PRAGMA table_info('tool_calls')`).all() as Array<{ name: string }>\n  if (cols.some((c) => c.name === 'shadow_delta_tokens')) return // already present\n  db.exec(`ALTER TABLE tool_calls ADD COLUMN shadow_delta_tokens INTEGER`)\n}\n\nexport function getDb(dbPath?: string): DB {\n  const resolvedPath = dbPath ?? ':memory:'\n  if (dbInstance && currentPath === resolvedPath) {\n    return dbInstance\n  }\n  if (dbInstance && currentPath !== resolvedPath) {\n    try {\n      dbInstance.close()\n    } catch {\n      // swallow\n    }\n    dbInstance = null\n  }\n  if (resolvedPath !== ':memory:') {\n    const dir = path.dirname(resolvedPath)\n    if (!fs.existsSync(dir)) {\n      fs.mkdirSync(dir, { recursive: true })\n    }\n  }\n  const db = new Database(resolvedPath)\n  db.pragma('journal_mode = WAL')\n  db.pragma('foreign_keys = ON')\n  db.exec(SCHEMA_SQL)\n  migrateLegacyToolCallsSchema(db)\n  migrateAddShadowDeltaTokens(db)\n  dbInstance = db\n  currentPath = resolvedPath\n  return db\n}\n\nexport function closeDb(): void {\n  if (dbInstance) {\n    try {\n      dbInstance.close()\n    } catch {\n      // swallow\n    }\n    dbInstance = null\n    currentPath = null\n  }\n}\n","// SQLite schema — Phase 1.2 (simplified: removed FTS5, input_hash, tool_input_summary, content)\n// Covers: sessions, tool_calls, budgets, budget_events, optimization_snapshots, coach_surface_log, meta\n\nexport const SCHEMA_SQL = `\nCREATE TABLE IF NOT EXISTS sessions (\n  id TEXT PRIMARY KEY,\n  project_hash TEXT,\n  started_at TEXT NOT NULL DEFAULT (datetime('now'))\n);\n\nCREATE TABLE IF NOT EXISTS tool_calls (\n  id INTEGER PRIMARY KEY AUTOINCREMENT,\n  session_id TEXT NOT NULL REFERENCES sessions(id) ON DELETE CASCADE,\n  tool_name TEXT NOT NULL,\n  source TEXT NOT NULL,\n  output_bytes INTEGER NOT NULL,\n  tokens_estimated INTEGER NOT NULL,\n  tokens_actual INTEGER,\n  duration_ms INTEGER,\n  estimation_method TEXT,\n  shadow_delta_tokens INTEGER,\n  created_at TEXT NOT NULL DEFAULT (datetime('now'))\n);\n\nCREATE INDEX IF NOT EXISTS idx_tool_calls_session ON tool_calls(session_id, created_at DESC);\nCREATE INDEX IF NOT EXISTS idx_tool_calls_tool ON tool_calls(tool_name);\nCREATE INDEX IF NOT EXISTS idx_tool_calls_source ON tool_calls(source);\n\nCREATE TABLE IF NOT EXISTS budgets (\n  id INTEGER PRIMARY KEY AUTOINCREMENT,\n  scope TEXT NOT NULL CHECK(scope IN ('session', 'project')),\n  scope_key TEXT NOT NULL,\n  limit_tokens INTEGER NOT NULL CHECK(limit_tokens > 0),\n  spent_tokens INTEGER NOT NULL DEFAULT 0,\n  mode TEXT NOT NULL CHECK(mode IN ('warn')),\n  created_at TEXT NOT NULL DEFAULT (datetime('now')),\n  UNIQUE(scope, scope_key)\n);\n\nCREATE TABLE IF NOT EXISTS budget_events (\n  id INTEGER PRIMARY KEY AUTOINCREMENT,\n  budget_id INTEGER NOT NULL REFERENCES budgets(id) ON DELETE CASCADE,\n  event_type TEXT NOT NULL CHECK(event_type IN ('spend', 'warn', 'reset')),\n  tokens INTEGER,\n  created_at TEXT NOT NULL DEFAULT (datetime('now'))\n);\n\nCREATE TABLE IF NOT EXISTS optimization_snapshots (\n  id INTEGER PRIMARY KEY AUTOINCREMENT,\n  method TEXT NOT NULL,\n  details TEXT,\n  created_at TEXT NOT NULL DEFAULT (datetime('now'))\n);\n\nCREATE TABLE IF NOT EXISTS coach_surface_log (\n  id INTEGER PRIMARY KEY AUTOINCREMENT,\n  session_id TEXT NOT NULL REFERENCES sessions(id) ON DELETE CASCADE,\n  rule_id TEXT NOT NULL,\n  tip_id TEXT NOT NULL,\n  surfaced_via TEXT NOT NULL,\n  severity TEXT NOT NULL,\n  created_at TEXT NOT NULL DEFAULT (datetime('now'))\n);\n\nCREATE INDEX IF NOT EXISTS idx_coach_surface_log_session\n  ON coach_surface_log(session_id, created_at DESC);\n\nCREATE TABLE IF NOT EXISTS meta (\n  key TEXT PRIMARY KEY,\n  value TEXT NOT NULL\n);\n\n-- Pending RTK rewrites. PreToolUse writes a row when it rewrites a Bash command\n-- via rtk rewrite; PostToolUse consumes it to reclassify the event as source=rtk.\n-- The PostToolUse hook only sees the ORIGINAL command (what Claude asked for),\n-- not the command Claude Code actually executed after PreToolUse mutation. This\n-- table bridges the gap so stats reflect the real RTK activity.\nCREATE TABLE IF NOT EXISTS rtk_rewrites (\n  id INTEGER PRIMARY KEY AUTOINCREMENT,\n  session_id TEXT NOT NULL,\n  command_hash TEXT NOT NULL,\n  rewritten_to TEXT NOT NULL,\n  created_at TEXT NOT NULL DEFAULT (datetime('now'))\n);\n\nCREATE INDEX IF NOT EXISTS idx_rtk_rewrites_lookup\n  ON rtk_rewrites(session_id, command_hash, created_at DESC);\n\n-- Serena symbol touches. 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dist/chunk-XAYSOAZV.js

-#!/usr/bin/env node
-import {
-  buildQueries
-} from "./chunk-FT4EJUIT.js";
-
-// src/services/budget-manager.ts
-var MAX_TOKENS = 1e7;
-var BudgetManager = class {
-  queries;
-  constructor(db) {
-    this.queries = buildQueries(db);
-  }
-  setBudget(input) {
-    if (!Number.isInteger(input.limit_tokens)) {
-      throw new Error("limit_tokens debe ser un entero");
-    }
-    if (input.limit_tokens <= 0) {
-      throw new Error("limit_tokens debe ser mayor que 0");
-    }
-    if (input.limit_tokens > MAX_TOKENS) {
-      throw new Error(`limit_tokens no puede exceder ${MAX_TOKENS}`);
-    }
-    if (input.scope !== "session" && input.scope !== "project") {
-      throw new Error(`scope invalido: ${String(input.scope)}`);
-    }
-    const mode = "warn";
-    this.queries.upsertBudget(input.scope, input.scope_key, input.limit_tokens, mode);
-    const budget = this.queries.getBudgetByScope(input.scope, input.scope_key);
-    if (!budget) {
-      throw new Error("no se pudo leer el budget recien creado");
-    }
-    return budget;
-  }
-  /**
-   * Resolve the active budget for a given session + project.
-   * Returns the session-scoped budget if present, else the project-scoped one, else null.
-   */
-  getActiveBudget(sessionId, projectHash) {
-    const sessionBudget = this.queries.getBudgetByScope("session", sessionId);
-    if (sessionBudget) return sessionBudget;
-    if (projectHash) {
-      const projectBudget = this.queries.getBudgetByScope("project", projectHash);
-      if (projectBudget) return projectBudget;
-    }
-    return null;
-  }
-  /** Compute spent tokens against a budget from tool_calls since the budget creation timestamp. */
-  computeSpent(budget) {
-    if (budget.scope === "session") {
-      return this.queries.sumTokensBySessionSince(budget.scope_key, budget.created_at);
-    }
-    return this.queries.sumTokensByProjectSince(budget.scope_key, budget.created_at);
-  }
-  checkBudget(sessionId, projectHash) {
-    const active = this.getActiveBudget(sessionId, projectHash);
-    if (!active) {
-      return { active: false, spent: 0, remaining: 0, percent_used: 0, mode: null };
-    }
-    const spent = this.computeSpent(active);
-    const remaining = Math.max(0, active.limit_tokens - spent);
-    const percent = active.limit_tokens > 0 ? spent / active.limit_tokens : 0;
-    return {
-      active: true,
-      spent,
-      remaining,
-      percent_used: percent,
-      mode: active.mode
-    };
-  }
-  clearBudget(scope, scopeKey) {
-    return this.queries.deleteBudgetByScope(scope, scopeKey) > 0;
-  }
-  getBudgetReport(since) {
-    return {
-      by_tool: this.queries.countToolCallsByTool(since),
-      by_source: this.queries.countToolCallsBySource(since),
-      period_since: since
-    };
-  }
-  recordBudgetEvent(budgetId, eventType, tokens) {
-    this.queries.insertBudgetEvent(budgetId, eventType, tokens);
-  }
-};
-
-export {
-  BudgetManager
-};
-//# sourceMappingURL=chunk-XAYSOAZV.js.map

dist/chunk-XAYSOAZV.js.map

-{"version":3,"sources":["../src/services/budget-manager.ts"],"sourcesContent":["// Budget manager — Phase 2.1 + 2.3\n// Precedence: session > project. Spent tokens computed from tool_calls since budget.created_at.\n\nimport type Database from 'better-sqlite3'\nimport type {\n  Budget,\n  BudgetScope,\n  BudgetMode,\n  BudgetStatus,\n} from '../lib/types.js'\nimport { buildQueries, type Queries, type ToolCountRow, type SourceCountRow } from '../db/queries.js'\n\ntype DB = Database.Database\n\nexport interface SetBudgetInput {\n  scope: BudgetScope\n  scope_key: string\n  limit_tokens: number\n  mode?: BudgetMode\n}\n\nexport interface BudgetReport {\n  by_tool: ToolCountRow[]\n  by_source: SourceCountRow[]\n  period_since: string\n}\n\nconst MAX_TOKENS = 1e7\n\nexport class BudgetManager {\n  private queries: Queries\n\n  constructor(db: DB) {\n    this.queries = buildQueries(db)\n  }\n\n  setBudget(input: SetBudgetInput): Budget {\n    if (!Number.isInteger(input.limit_tokens)) {\n      throw new Error('limit_tokens debe ser un entero')\n    }\n    if (input.limit_tokens <= 0) {\n      throw new Error('limit_tokens debe ser mayor que 0')\n    }\n    if (input.limit_tokens > MAX_TOKENS) {\n      throw new Error(`limit_tokens no puede exceder ${MAX_TOKENS}`)\n    }\n    if (input.scope !== 'session' && input.scope !== 'project') {\n      throw new Error(`scope invalido: ${String(input.scope)}`)\n    }\n    const mode: BudgetMode = 'warn'\n    this.queries.upsertBudget(input.scope, input.scope_key, input.limit_tokens, mode)\n    const budget = this.queries.getBudgetByScope(input.scope, input.scope_key)\n    if (!budget) {\n      throw new Error('no se pudo leer el budget recien creado')\n    }\n    return budget\n  }\n\n  /**\n   * Resolve the active budget for a given session + project.\n   * Returns the session-scoped budget if present, else the project-scoped one, else null.\n   */\n  getActiveBudget(sessionId: string, projectHash: string | null): Budget | null {\n    const sessionBudget = this.queries.getBudgetByScope('session', sessionId)\n    if (sessionBudget) return sessionBudget\n    if (projectHash) {\n      const projectBudget = this.queries.getBudgetByScope('project', projectHash)\n      if (projectBudget) return projectBudget\n    }\n    return null\n  }\n\n  /** Compute spent tokens against a budget from tool_calls since the budget creation timestamp. */\n  computeSpent(budget: Budget): number {\n    if (budget.scope === 'session') {\n      return this.queries.sumTokensBySessionSince(budget.scope_key, budget.created_at)\n    }\n    return this.queries.sumTokensByProjectSince(budget.scope_key, budget.created_at)\n  }\n\n  checkBudget(sessionId: string, projectHash: string | null): BudgetStatus {\n    const active = this.getActiveBudget(sessionId, projectHash)\n    if (!active) {\n      return { active: false, spent: 0, remaining: 0, percent_used: 0, mode: null }\n    }\n    const spent = this.computeSpent(active)\n    const remaining = Math.max(0, active.limit_tokens - spent)\n    const percent = active.limit_tokens > 0 ? spent / active.limit_tokens : 0\n    return {\n      active: true,\n      spent,\n      remaining,\n      percent_used: percent,\n      mode: active.mode,\n    }\n  }\n\n  clearBudget(scope: BudgetScope, scopeKey: string): boolean {\n    return this.queries.deleteBudgetByScope(scope, scopeKey) > 0\n  }\n\n  getBudgetReport(since: string): BudgetReport {\n    return {\n      by_tool: this.queries.countToolCallsByTool(since),\n      by_source: this.queries.countToolCallsBySource(since),\n      period_since: since,\n    }\n  }\n\n  recordBudgetEvent(\n    budgetId: number,\n    eventType: 'spend' | 'warn' | 'block' | 'reset',\n    tokens: number | null,\n  ): void {\n    this.queries.insertBudgetEvent(budgetId, eventType, tokens)\n  }\n}\n"],"mappings":";;;;;;AA2BA,IAAM,aAAa;AAEZ,IAAM,gBAAN,MAAoB;AAAA,EACjB;AAAA,EAER,YAAY,IAAQ;AAClB,SAAK,UAAU,aAAa,EAAE;AAAA,EAChC;AAAA,EAEA,UAAU,OAA+B;AACvC,QAAI,CAAC,OAAO,UAAU,MAAM,YAAY,GAAG;AACzC,YAAM,IAAI,MAAM,iCAAiC;AAAA,IACnD;AACA,QAAI,MAAM,gBAAgB,GAAG;AAC3B,YAAM,IAAI,MAAM,mCAAmC;AAAA,IACrD;AACA,QAAI,MAAM,eAAe,YAAY;AACnC,YAAM,IAAI,MAAM,iCAAiC,UAAU,EAAE;AAAA,IAC/D;AACA,QAAI,MAAM,UAAU,aAAa,MAAM,UAAU,WAAW;AAC1D,YAAM,IAAI,MAAM,mBAAmB,OAAO,MAAM,KAAK,CAAC,EAAE;AAAA,IAC1D;AACA,UAAM,OAAmB;AACzB,SAAK,QAAQ,aAAa,MAAM,OAAO,MAAM,WAAW,MAAM,cAAc,IAAI;AAChF,UAAM,SAAS,KAAK,QAAQ,iBAAiB,MAAM,OAAO,MAAM,SAAS;AACzE,QAAI,CAAC,QAAQ;AACX,YAAM,IAAI,MAAM,yCAAyC;AAAA,IAC3D;AACA,WAAO;AAAA,EACT;AAAA;AAAA;AAAA;AAAA;AAAA,EAMA,gBAAgB,WAAmB,aAA2C;AAC5E,UAAM,gBAAgB,KAAK,QAAQ,iBAAiB,WAAW,SAAS;AACxE,QAAI,cAAe,QAAO;AAC1B,QAAI,aAAa;AACf,YAAM,gBAAgB,KAAK,QAAQ,iBAAiB,WAAW,WAAW;AAC1E,UAAI,cAAe,QAAO;AAAA,IAC5B;AACA,WAAO;AAAA,EACT;AAAA;AAAA,EAGA,aAAa,QAAwB;AACnC,QAAI,OAAO,UAAU,WAAW;AAC9B,aAAO,KAAK,QAAQ,wBAAwB,OAAO,WAAW,OAAO,UAAU;AAAA,IACjF;AACA,WAAO,KAAK,QAAQ,wBAAwB,OAAO,WAAW,OAAO,UAAU;AAAA,EACjF;AAAA,EAEA,YAAY,WAAmB,aAA0C;AACvE,UAAM,SAAS,KAAK,gBAAgB,WAAW,WAAW;AAC1D,QAAI,CAAC,QAAQ;AACX,aAAO,EAAE,QAAQ,OAAO,OAAO,GAAG,WAAW,GAAG,cAAc,GAAG,MAAM,KAAK;AAAA,IAC9E;AACA,UAAM,QAAQ,KAAK,aAAa,MAAM;AACtC,UAAM,YAAY,KAAK,IAAI,GAAG,OAAO,eAAe,KAAK;AACzD,UAAM,UAAU,OAAO,eAAe,IAAI,QAAQ,OAAO,eAAe;AACxE,WAAO;AAAA,MACL,QAAQ;AAAA,MACR;AAAA,MACA;AAAA,MACA,cAAc;AAAA,MACd,MAAM,OAAO;AAAA,IACf;AAAA,EACF;AAAA,EAEA,YAAY,OAAoB,UAA2B;AACzD,WAAO,KAAK,QAAQ,oBAAoB,OAAO,QAAQ,IAAI;AAAA,EAC7D;AAAA,EAEA,gBAAgB,OAA6B;AAC3C,WAAO;AAAA,MACL,SAAS,KAAK,QAAQ,qBAAqB,KAAK;AAAA,MAChD,WAAW,KAAK,QAAQ,uBAAuB,KAAK;AAAA,MACpD,cAAc;AAAA,IAChB;AAAA,EACF;AAAA,EAEA,kBACE,UACA,WACA,QACM;AACN,SAAK,QAAQ,kBAAkB,UAAU,WAAW,MAAM;AAAA,EAC5D;AACF;","names":[]}

dist/coach-6OD6QT3Y.js

-#!/usr/bin/env node
-import {
-  KNOWLEDGE_BASE,
-  clearSurfaceLog,
-  measureContextSize,
-  runRules
-} from "./chunk-4PA7MRTS.js";
-import "./chunk-KNYWGCEX.js";
-import {
-  buildQueries
-} from "./chunk-FT4EJUIT.js";
-import {
-  getDb
-} from "./chunk-L4GG4274.js";
-import {
-  resolveAnalyticsDbPath,
-  resolveProjectDir
-} from "./chunk-V4PINTCV.js";
-
-// src/cli/coach.ts
-import fs from "fs";
-async function runCoachCli(args = [], opts = {}) {
-  const print = opts.print ?? ((m) => console.error(m));
-  const cwd = opts.cwd ?? process.cwd();
-  const sub = args[0] ?? "status";
-  if (sub === "list") {
-    print(`Knowledge base (${KNOWLEDGE_BASE.length} tips):`);
-    for (const tip of KNOWLEDGE_BASE) {
-      print(`  \u2022 ${tip.id.padEnd(32)} ${tip.title}`);
-    }
-    return 0;
-  }
-  if (sub === "explain") {
-    const tipId = args[1];
-    if (!tipId) {
-      print("Uso: token-optimizer-mcp coach explain <tip_id>");
-      return 1;
-    }
-    const tip = KNOWLEDGE_BASE.find((t) => t.id === tipId);
-    if (!tip) {
-      print(`Tip no encontrado: ${tipId}`);
-      return 1;
-    }
-    print(tip.title);
-    print("");
-    print(tip.description);
-    print("");
-    print(`Como usarlo: ${tip.how_to_invoke}`);
-    print(`Cuando:      ${tip.when_applicable}`);
-    print(`Ahorro:      ${tip.savings_estimate}`);
-    print(`Fuente:      ${tip.savings_source} \xB7 verificado: ${tip.verified_at}`);
-    return 0;
-  }
-  if (sub === "reset") {
-    const projectDir2 = resolveProjectDir(cwd);
-    const dbPath2 = resolveAnalyticsDbPath(projectDir2);
-    if (!fs.existsSync(dbPath2)) {
-      print("Sin DB; nada que resetear.");
-      return 0;
-    }
-    const db2 = getDb(dbPath2);
-    const deleted = clearSurfaceLog(db2);
-    print(`Log de coach reseteado (${deleted} entradas eliminadas)`);
-    return 0;
-  }
-  const projectDir = resolveProjectDir(cwd);
-  const dbPath = resolveAnalyticsDbPath(projectDir);
-  if (!fs.existsSync(dbPath)) {
-    print("Coach status: sin datos. Ejecuta el hook posttooluse al menos una vez.");
-    return 0;
-  }
-  const db = getDb(dbPath);
-  const contextOpts = { db };
-  if (projectDir) contextOpts.projectDir = projectDir;
-  const context = await measureContextSize("default", contextOpts);
-  const queries = buildQueries(db);
-  const since = new Date(Date.now() - 864e5).toISOString();
-  const rawRows = queries.getToolCallsSince(since);
-  const ctx = {
-    session_id: "default",
-    events: rawRows.slice(0, 100),
-    session_token_total: context.tokens,
-    session_token_method: context.estimation_method,
-    session_token_limit: context.limit,
-    active_model: null
-  };
-  const hits = runRules(ctx);
-  print("token-optimizer-mcp coach status");
-  print("");
-  print(
-    `Contexto: ${(context.percent * 100).toFixed(1)}% (${context.tokens}/${context.limit} tokens, ${context.estimation_method})`
-  );
-  print(`Tips activos: ${hits.length}`);
-  if (hits.length === 0) {
-    print("  (sin tips disparados en este momento)");
-  } else {
-    for (const h of hits) {
-      print(`  [${h.severity}] ${h.rule_id}: ${h.evidence}`);
-    }
-  }
-  return 0;
-}
-export {
-  runCoachCli
-};
-//# sourceMappingURL=coach-6OD6QT3Y.js.map

dist/coach-6OD6QT3Y.js.map

-{"version":3,"sources":["../src/cli/coach.ts"],"sourcesContent":["// Coach CLI — Phase 4.50\n// Subcommands: status | list | explain <tip_id> | reset\n\nimport fs from 'node:fs'\nimport { KNOWLEDGE_BASE } from '../coach/knowledge-base.js'\nimport { runRules } from '../coach/detector.js'\nimport { measureContextSize } from '../coach/context-meter.js'\nimport { clearSurfaceLog } from '../coach/surface.js'\nimport { getDb } from '../db/connection.js'\nimport { resolveProjectDir, resolveAnalyticsDbPath } from '../lib/paths.js'\nimport { buildQueries } from '../db/queries.js'\nimport type { EventContext, ToolEvent } from '../lib/types.js'\n\nexport interface CoachCliOptions {\n  cwd?: string\n  print?: (msg: string) => void\n}\n\nexport async function runCoachCli(\n  args: string[] = [],\n  opts: CoachCliOptions = {},\n): Promise<number> {\n  const print = opts.print ?? ((m: string) => console.error(m))\n  const cwd = opts.cwd ?? process.cwd()\n  const sub = args[0] ?? 'status'\n\n  if (sub === 'list') {\n    print(`Knowledge base (${KNOWLEDGE_BASE.length} tips):`)\n    for (const tip of KNOWLEDGE_BASE) {\n      print(`  • ${tip.id.padEnd(32)} ${tip.title}`)\n    }\n    return 0\n  }\n\n  if (sub === 'explain') {\n    const tipId = args[1]\n    if (!tipId) {\n      print('Uso: token-optimizer-mcp coach explain <tip_id>')\n      return 1\n    }\n    const tip = KNOWLEDGE_BASE.find((t) => t.id === tipId)\n    if (!tip) {\n      print(`Tip no encontrado: ${tipId}`)\n      return 1\n    }\n    print(tip.title)\n    print('')\n    print(tip.description)\n    print('')\n    print(`Como usarlo: ${tip.how_to_invoke}`)\n    print(`Cuando:      ${tip.when_applicable}`)\n    print(`Ahorro:      ${tip.savings_estimate}`)\n    print(`Fuente:      ${tip.savings_source} · verificado: ${tip.verified_at}`)\n    return 0\n  }\n\n  if (sub === 'reset') {\n    const projectDir = resolveProjectDir(cwd)\n    const dbPath = resolveAnalyticsDbPath(projectDir)\n    if (!fs.existsSync(dbPath)) {\n      print('Sin DB; nada que resetear.')\n      return 0\n    }\n    const db = getDb(dbPath)\n    const deleted = clearSurfaceLog(db)\n    print(`Log de coach reseteado (${deleted} entradas eliminadas)`)\n    return 0\n  }\n\n  // Default: status\n  const projectDir = resolveProjectDir(cwd)\n  const dbPath = resolveAnalyticsDbPath(projectDir)\n  if (!fs.existsSync(dbPath)) {\n    print('Coach status: sin datos. Ejecuta el hook posttooluse al menos una vez.')\n    return 0\n  }\n  const db = getDb(dbPath)\n  const contextOpts: {\n    db: typeof db\n    projectDir?: string\n  } = { db }\n  if (projectDir) contextOpts.projectDir = projectDir\n  const context = await measureContextSize('default', contextOpts)\n\n  const queries = buildQueries(db)\n  const since = new Date(Date.now() - 86_400_000).toISOString()\n  const rawRows = queries.getToolCallsSince(since) as ToolEvent[]\n  const ctx: EventContext = {\n    session_id: 'default',\n    events: rawRows.slice(0, 100),\n    session_token_total: context.tokens,\n    session_token_method: context.estimation_method,\n    session_token_limit: context.limit,\n    active_model: null,\n  }\n  const hits = runRules(ctx)\n\n  print('token-optimizer-mcp coach status')\n  print('')\n  print(\n    `Contexto: ${(context.percent * 100).toFixed(1)}% (${context.tokens}/${context.limit} tokens, ${context.estimation_method})`,\n  )\n  print(`Tips activos: ${hits.length}`)\n  if (hits.length === 0) {\n    print('  (sin tips disparados en este momento)')\n  } else {\n    for (const h of hits) {\n      print(`  [${h.severity}] ${h.rule_id}: ${h.evidence}`)\n    }\n  }\n  return 0\n}\n"],"mappings":";;;;;;;;;;;;;;;;;;;;AAGA,OAAO,QAAQ;AAef,eAAsB,YACpB,OAAiB,CAAC,GAClB,OAAwB,CAAC,GACR;AACjB,QAAM,QAAQ,KAAK,UAAU,CAAC,MAAc,QAAQ,MAAM,CAAC;AAC3D,QAAM,MAAM,KAAK,OAAO,QAAQ,IAAI;AACpC,QAAM,MAAM,KAAK,CAAC,KAAK;AAEvB,MAAI,QAAQ,QAAQ;AAClB,UAAM,mBAAmB,eAAe,MAAM,SAAS;AACvD,eAAW,OAAO,gBAAgB;AAChC,YAAM,YAAO,IAAI,GAAG,OAAO,EAAE,CAAC,IAAI,IAAI,KAAK,EAAE;AAAA,IAC/C;AACA,WAAO;AAAA,EACT;AAEA,MAAI,QAAQ,WAAW;AACrB,UAAM,QAAQ,KAAK,CAAC;AACpB,QAAI,CAAC,OAAO;AACV,YAAM,iDAAiD;AACvD,aAAO;AAAA,IACT;AACA,UAAM,MAAM,eAAe,KAAK,CAAC,MAAM,EAAE,OAAO,KAAK;AACrD,QAAI,CAAC,KAAK;AACR,YAAM,sBAAsB,KAAK,EAAE;AACnC,aAAO;AAAA,IACT;AACA,UAAM,IAAI,KAAK;AACf,UAAM,EAAE;AACR,UAAM,IAAI,WAAW;AACrB,UAAM,EAAE;AACR,UAAM,gBAAgB,IAAI,aAAa,EAAE;AACzC,UAAM,gBAAgB,IAAI,eAAe,EAAE;AAC3C,UAAM,gBAAgB,IAAI,gBAAgB,EAAE;AAC5C,UAAM,gBAAgB,IAAI,cAAc,qBAAkB,IAAI,WAAW,EAAE;AAC3E,WAAO;AAAA,EACT;AAEA,MAAI,QAAQ,SAAS;AACnB,UAAMA,cAAa,kBAAkB,GAAG;AACxC,UAAMC,UAAS,uBAAuBD,WAAU;AAChD,QAAI,CAAC,GAAG,WAAWC,OAAM,GAAG;AAC1B,YAAM,4BAA4B;AAClC,aAAO;AAAA,IACT;AACA,UAAMC,MAAK,MAAMD,OAAM;AACvB,UAAM,UAAU,gBAAgBC,GAAE;AAClC,UAAM,2BAA2B,OAAO,uBAAuB;AAC/D,WAAO;AAAA,EACT;AAGA,QAAM,aAAa,kBAAkB,GAAG;AACxC,QAAM,SAAS,uBAAuB,UAAU;AAChD,MAAI,CAAC,GAAG,WAAW,MAAM,GAAG;AAC1B,UAAM,wEAAwE;AAC9E,WAAO;AAAA,EACT;AACA,QAAM,KAAK,MAAM,MAAM;AACvB,QAAM,cAGF,EAAE,GAAG;AACT,MAAI,WAAY,aAAY,aAAa;AACzC,QAAM,UAAU,MAAM,mBAAmB,WAAW,WAAW;AAE/D,QAAM,UAAU,aAAa,EAAE;AAC/B,QAAM,QAAQ,IAAI,KAAK,KAAK,IAAI,IAAI,KAAU,EAAE,YAAY;AAC5D,QAAM,UAAU,QAAQ,kBAAkB,KAAK;AAC/C,QAAM,MAAoB;AAAA,IACxB,YAAY;AAAA,IACZ,QAAQ,QAAQ,MAAM,GAAG,GAAG;AAAA,IAC5B,qBAAqB,QAAQ;AAAA,IAC7B,sBAAsB,QAAQ;AAAA,IAC9B,qBAAqB,QAAQ;AAAA,IAC7B,cAAc;AAAA,EAChB;AACA,QAAM,OAAO,SAAS,GAAG;AAEzB,QAAM,kCAAkC;AACxC,QAAM,EAAE;AACR;AAAA,IACE,cAAc,QAAQ,UAAU,KAAK,QAAQ,CAAC,CAAC,MAAM,QAAQ,MAAM,IAAI,QAAQ,KAAK,YAAY,QAAQ,iBAAiB;AAAA,EAC3H;AACA,QAAM,iBAAiB,KAAK,MAAM,EAAE;AACpC,MAAI,KAAK,WAAW,GAAG;AACrB,UAAM,yCAAyC;AAAA,EACjD,OAAO;AACL,eAAW,KAAK,MAAM;AACpB,YAAM,MAAM,EAAE,QAAQ,KAAK,EAAE,OAAO,KAAK,EAAE,QAAQ,EAAE;AAAA,IACvD;AAAA,EACF;AACA,SAAO;AACT;","names":["projectDir","dbPath","db"]}

dist/dispatcher-XGDCQYQI.js

-#!/usr/bin/env node
-
-// src/cli/dispatcher.ts
-async function dispatchCli(argv) {
-  const [sub, ...rest] = argv;
-  switch (sub) {
-    case "install": {
-      const mod = await import("./install-TNLZRW5R.js");
-      return mod.runInstall(rest);
-    }
-    case "uninstall": {
-      const mod = await import("./uninstall-UK255POR.js");
-      return mod.runUninstall(rest);
-    }
-    case "doctor": {
-      const mod = await import("./doctor-C3UG64HT.js");
-      return mod.runDoctor(rest);
-    }
-    case "status": {
-      const mod = await import("./status-ATJQRVRE.js");
-      return mod.runStatus(rest);
-    }
-    case "report": {
-      const mod = await import("./report-O4KKLVNJ.js");
-      return mod.runReport(rest);
-    }
-    case "budget": {
-      const mod = await import("./budget-ZAT64F3R.js");
-      return mod.runBudgetCli(rest);
-    }
-    case "config": {
-      const mod = await import("./config-ETWSZHVJ.js");
-      return mod.runConfigCommand(rest);
-    }
-    case "prune-mcp": {
-      const mod = await import("./prune-mcp-5SNZEYYL.js");
-      return mod.runPruneMcp(rest);
-    }
-    case "coach": {
-      const mod = await import("./coach-6OD6QT3Y.js");
-      return mod.runCoachCli(rest);
-    }
-    case "sync-xray": {
-      const mod = await import("./sync-xray-U6ORS5MP.js");
-      return mod.runSyncXray(rest);
-    }
-    default:
-      console.error(`Subcomando desconocido: ${sub ?? "(ninguno)"}`);
-      console.error(
-        "Disponibles: install, uninstall, doctor, status, report, budget, prune-mcp, coach, config, sync-xray"
-      );
-      return 1;
-  }
-}
-export {
-  dispatchCli
-};
-//# sourceMappingURL=dispatcher-XGDCQYQI.js.map

dist/dispatcher-XGDCQYQI.js.map

-{"version":3,"sources":["../src/cli/dispatcher.ts"],"sourcesContent":["// CLI subcommand dispatcher — Phase 4.9\n// Routes argv[0] to the appropriate subcommand module (lazy-imported).\n\nexport async function dispatchCli(argv: string[]): Promise<number> {\n  const [sub, ...rest] = argv\n  switch (sub) {\n    case 'install': {\n      const mod = await import('./install.js')\n      return mod.runInstall(rest)\n    }\n    case 'uninstall': {\n      const mod = await import('./uninstall.js')\n      return mod.runUninstall(rest)\n    }\n    case 'doctor': {\n      const mod = await import('./doctor.js')\n      return mod.runDoctor(rest)\n    }\n    case 'status': {\n      const mod = await import('./status.js')\n      return mod.runStatus(rest)\n    }\n    case 'report': {\n      const mod = await import('./report.js')\n      return mod.runReport(rest)\n    }\n    case 'budget': {\n      const mod = await import('./budget.js')\n      return mod.runBudgetCli(rest)\n    }\n    case 'config': {\n      const mod = await import('./config.js')\n      return mod.runConfigCommand(rest)\n    }\n    case 'prune-mcp': {\n      const mod = await import('./prune-mcp.js')\n      return mod.runPruneMcp(rest)\n    }\n    case 'coach': {\n      const mod = await import('./coach.js')\n      return mod.runCoachCli(rest)\n    }\n    case 'sync-xray': {\n      const mod = await import('./sync-xray.js')\n      return mod.runSyncXray(rest)\n    }\n    default:\n      console.error(`Subcomando desconocido: ${sub ?? '(ninguno)'}`)\n      console.error(\n        'Disponibles: install, uninstall, doctor, status, report, budget, prune-mcp, coach, config, sync-xray',\n      )\n      return 1\n  }\n}\n"],"mappings":";;;AAGA,eAAsB,YAAY,MAAiC;AACjE,QAAM,CAAC,KAAK,GAAG,IAAI,IAAI;AACvB,UAAQ,KAAK;AAAA,IACX,KAAK,WAAW;AACd,YAAM,MAAM,MAAM,OAAO,uBAAc;AACvC,aAAO,IAAI,WAAW,IAAI;AAAA,IAC5B;AAAA,IACA,KAAK,aAAa;AAChB,YAAM,MAAM,MAAM,OAAO,yBAAgB;AACzC,aAAO,IAAI,aAAa,IAAI;AAAA,IAC9B;AAAA,IACA,KAAK,UAAU;AACb,YAAM,MAAM,MAAM,OAAO,sBAAa;AACtC,aAAO,IAAI,UAAU,IAAI;AAAA,IAC3B;AAAA,IACA,KAAK,UAAU;AACb,YAAM,MAAM,MAAM,OAAO,sBAAa;AACtC,aAAO,IAAI,UAAU,IAAI;AAAA,IAC3B;AAAA,IACA,KAAK,UAAU;AACb,YAAM,MAAM,MAAM,OAAO,sBAAa;AACtC,aAAO,IAAI,UAAU,IAAI;AAAA,IAC3B;AAAA,IACA,KAAK,UAAU;AACb,YAAM,MAAM,MAAM,OAAO,sBAAa;AACtC,aAAO,IAAI,aAAa,IAAI;AAAA,IAC9B;AAAA,IACA,KAAK,UAAU;AACb,YAAM,MAAM,MAAM,OAAO,sBAAa;AACtC,aAAO,IAAI,iBAAiB,IAAI;AAAA,IAClC;AAAA,IACA,KAAK,aAAa;AAChB,YAAM,MAAM,MAAM,OAAO,yBAAgB;AACzC,aAAO,IAAI,YAAY,IAAI;AAAA,IAC7B;AAAA,IACA,KAAK,SAAS;AACZ,YAAM,MAAM,MAAM,OAAO,qBAAY;AACrC,aAAO,IAAI,YAAY,IAAI;AAAA,IAC7B;AAAA,IACA,KAAK,aAAa;AAChB,YAAM,MAAM,MAAM,OAAO,yBAAgB;AACzC,aAAO,IAAI,YAAY,IAAI;AAAA,IAC7B;AAAA,IACA;AACE,cAAQ,MAAM,2BAA2B,OAAO,WAAW,EAAE;AAC7D,cAAQ;AAAA,QACN;AAAA,MACF;AACA,aAAO;AAAA,EACX;AACF;","names":[]}

dist/prune-mcp-5SNZEYYL.js

-#!/usr/bin/env node
-import {
-  applyAllowlist,
-  clearAllowlist,
-  generateFromHistory,
-  impact,
-  rollback,
-  runPruneMcp,
-  settingsLocalPath
-} from "./chunk-3DLEPM6P.js";
-import "./chunk-L5Z32XXL.js";
-import "./chunk-L4GG4274.js";
-import "./chunk-V4PINTCV.js";
-export {
-  applyAllowlist,
-  clearAllowlist,
-  generateFromHistory,
-  impact,
-  rollback,
-  runPruneMcp,
-  settingsLocalPath
-};
-//# sourceMappingURL=prune-mcp-5SNZEYYL.js.map

dist/prune-mcp-5SNZEYYL.js.map

-{"version":3,"sources":[],"sourcesContent":[],"mappings":"","names":[]}

dist/report-O4KKLVNJ.js

-#!/usr/bin/env node
-import {
-  getDb
-} from "./chunk-L4GG4274.js";
-import {
-  resolveAnalyticsDbPath,
-  resolveProjectDir
-} from "./chunk-V4PINTCV.js";
-
-// src/cli/report.ts
-import fs from "fs";
-var PERIOD_DAYS = {
-  session: 3650,
-  day: 1,
-  week: 7,
-  month: 30
-};
-function isMeasured(method) {
-  return method === "measured_exact" || method === "measured_delta";
-}
-function queryBySourceAndMethod(db, sinceIso) {
-  return db.prepare(
-    `SELECT source, estimation_method,
-              COUNT(*) as count,
-              COALESCE(SUM(tokens_estimated), 0) as tokens
-       FROM tool_calls
-       WHERE created_at >= ?
-       GROUP BY source, estimation_method
-       ORDER BY tokens DESC`
-  ).all(sinceIso);
-}
-var REFERENCE_DATA = [
-  {
-    feature: "Model switching (opusplan / default-to-sonnet)",
-    saving: "60-80% reduccion de coste",
-    source: "mindstudio.ai, verdent.ai, claudelab.net",
-    verified_at: "2026-04-11"
-  },
-  {
-    feature: "Progressive disclosure skills",
-    saving: "~15k tokens/sesion (82% mejor que CLAUDE.md monolitico)",
-    source: "claudefast.com",
-    verified_at: "2026-04-11"
-  },
-  {
-    feature: "Prompt caching read hit",
-    saving: "10x mas barato que uncached",
-    source: "Anthropic docs",
-    verified_at: "2026-04-11"
-  },
-  {
-    feature: "Claude Code Tool Search",
-    saving: "~85% schema reduction (77k \u2192 8.7k)",
-    source: "observado en sesion",
-    verified_at: "2026-04-11"
-  },
-  {
-    feature: "MCP pruning sobre Tool Search",
-    saving: "~5-12% adicional por turno",
-    source: "estimacion interna",
-    verified_at: "2026-04-11"
-  }
-];
-function resolvePeriod(args, fallback) {
-  const flag = args.find((a) => a.startsWith("--period="));
-  if (flag) {
-    const value = flag.split("=")[1];
-    if (value && value in PERIOD_DAYS) return value;
-  }
-  return fallback;
-}
-function runReport(args = [], opts = {}) {
-  const print = opts.print ?? ((m) => console.error(m));
-  const cwd = opts.cwd ?? process.cwd();
-  const period = opts.period ?? resolvePeriod(args, "day");
-  const days = PERIOD_DAYS[period];
-  const projectDir = resolveProjectDir(cwd);
-  const dbPath = resolveAnalyticsDbPath(projectDir);
-  const lines = [];
-  lines.push(`token-optimizer-mcp reporte \u2014 periodo: ${period} (${days} dia(s))`);
-  lines.push("");
-  if (!fs.existsSync(dbPath)) {
-    lines.push("No hay datos registrados todavia.");
-  } else {
-    const db = getDb(dbPath);
-    const since = new Date(Date.now() - days * 864e5).toISOString();
-    const rows = queryBySourceAndMethod(db, since);
-    let medidoTotal = 0;
-    let estimadoTotal = 0;
-    lines.push("Por fuente y metodo de estimacion:");
-    if (rows.length === 0) {
-      lines.push("  (sin eventos en este periodo)");
-    } else {
-      for (const row of rows) {
-        const method = row.estimation_method ?? "unknown";
-        lines.push(
-          `  ${row.source.padEnd(8)} [${method}]  ${row.count} llamadas  ${row.tokens} tokens`
-        );
-        if (isMeasured(method)) medidoTotal += row.tokens;
-        else estimadoTotal += row.tokens;
-      }
-    }
-    lines.push("");
-    lines.push(`Resumen: Medido: ${medidoTotal} tokens \xB7 Estimado: ${estimadoTotal} tokens`);
-    lines.push("");
-  }
-  lines.push("Coach activity:");
-  lines.push("  (sin tips surfaceados todavia \u2014 coach layer se activa en Phase 4.H)");
-  lines.push("");
-  printReference(lines);
-  print(lines.join("\n"));
-  return 0;
-}
-function printReference(lines) {
-  lines.push("Referencia (datos publicos verificables):");
-  for (const row of REFERENCE_DATA) {
-    lines.push(`  \u2022 ${row.feature}`);
-    lines.push(`    ahorro: ${row.saving}`);
-    lines.push(`    fuente: ${row.source} \xB7 verificado: ${row.verified_at}`);
-  }
-}
-export {
-  runReport
-};
-//# sourceMappingURL=report-O4KKLVNJ.js.map

dist/report-O4KKLVNJ.js.map

-{"version":3,"sources":["../src/cli/report.ts"],"sourcesContent":["// Report CLI — Phase 4.14\n// Per-source breakdown WITH estimation_method label + Medido/Estimado split +\n// reference-data table (coach-layer addendum CO-4). Spanish.\n\nimport fs from 'node:fs'\nimport type Database from 'better-sqlite3'\nimport { getDb } from '../db/connection.js'\nimport { resolveProjectDir, resolveAnalyticsDbPath } from '../lib/paths.js'\n\ntype DB = Database.Database\n\ntype Period = 'session' | 'day' | 'week' | 'month'\n\nconst PERIOD_DAYS: Record<Period, number> = {\n  session: 3650,\n  day: 1,\n  week: 7,\n  month: 30,\n}\n\ninterface SourceMethodRow {\n  source: string\n  estimation_method: string | null\n  count: number\n  tokens: number\n}\n\nfunction isMeasured(method: string | null): boolean {\n  return method === 'measured_exact' || method === 'measured_delta'\n}\n\nfunction queryBySourceAndMethod(db: DB, sinceIso: string): SourceMethodRow[] {\n  return db\n    .prepare(\n      `SELECT source, estimation_method,\n              COUNT(*) as count,\n              COALESCE(SUM(tokens_estimated), 0) as tokens\n       FROM tool_calls\n       WHERE created_at >= ?\n       GROUP BY source, estimation_method\n       ORDER BY tokens DESC`,\n    )\n    .all(sinceIso) as SourceMethodRow[]\n}\n\nexport interface ReportOptions {\n  cwd?: string\n  period?: Period\n  print?: (msg: string) => void\n}\n\nconst REFERENCE_DATA: Array<{\n  feature: string\n  saving: string\n  source: string\n  verified_at: string\n}> = [\n  {\n    feature: 'Model switching (opusplan / default-to-sonnet)',\n    saving: '60-80% reduccion de coste',\n    source: 'mindstudio.ai, verdent.ai, claudelab.net',\n    verified_at: '2026-04-11',\n  },\n  {\n    feature: 'Progressive disclosure skills',\n    saving: '~15k tokens/sesion (82% mejor que CLAUDE.md monolitico)',\n    source: 'claudefast.com',\n    verified_at: '2026-04-11',\n  },\n  {\n    feature: 'Prompt caching read hit',\n    saving: '10x mas barato que uncached',\n    source: 'Anthropic docs',\n    verified_at: '2026-04-11',\n  },\n  {\n    feature: 'Claude Code Tool Search',\n    saving: '~85% schema reduction (77k → 8.7k)',\n    source: 'observado en sesion',\n    verified_at: '2026-04-11',\n  },\n  {\n    feature: 'MCP pruning sobre Tool Search',\n    saving: '~5-12% adicional por turno',\n    source: 'estimacion interna',\n    verified_at: '2026-04-11',\n  },\n]\n\nfunction resolvePeriod(args: string[], fallback: Period): Period {\n  const flag = args.find((a) => a.startsWith('--period='))\n  if (flag) {\n    const value = flag.split('=')[1] as Period | undefined\n    if (value && value in PERIOD_DAYS) return value\n  }\n  return fallback\n}\n\nexport function runReport(args: string[] = [], opts: ReportOptions = {}): number {\n  const print = opts.print ?? ((m: string) => console.error(m))\n  const cwd = opts.cwd ?? process.cwd()\n  const period: Period = opts.period ?? resolvePeriod(args, 'day')\n  const days = PERIOD_DAYS[period]\n\n  const projectDir = resolveProjectDir(cwd)\n  const dbPath = resolveAnalyticsDbPath(projectDir)\n\n  const lines: string[] = []\n  lines.push(`token-optimizer-mcp reporte — periodo: ${period} (${days} dia(s))`)\n  lines.push('')\n\n  if (!fs.existsSync(dbPath)) {\n    lines.push('No hay datos registrados todavia.')\n  } else {\n    const db = getDb(dbPath)\n    const since = new Date(Date.now() - days * 86_400_000).toISOString()\n    const rows = queryBySourceAndMethod(db, since)\n\n    let medidoTotal = 0\n    let estimadoTotal = 0\n\n    lines.push('Por fuente y metodo de estimacion:')\n    if (rows.length === 0) {\n      lines.push('  (sin eventos en este periodo)')\n    } else {\n      for (const row of rows) {\n        const method = row.estimation_method ?? 'unknown'\n        lines.push(\n          `  ${row.source.padEnd(8)} [${method}]  ${row.count} llamadas  ${row.tokens} tokens`,\n        )\n        if (isMeasured(method)) medidoTotal += row.tokens\n        else estimadoTotal += row.tokens\n      }\n    }\n    lines.push('')\n    lines.push(`Resumen: Medido: ${medidoTotal} tokens · Estimado: ${estimadoTotal} tokens`)\n    lines.push('')\n  }\n\n  // Coach activity section (always present; filled in Phase 4.H with real data)\n  lines.push('Coach activity:')\n  lines.push('  (sin tips surfaceados todavia — coach layer se activa en Phase 4.H)')\n  lines.push('')\n\n  printReference(lines)\n  print(lines.join('\\n'))\n  return 0\n}\n\nfunction printReference(lines: string[]): void {\n  lines.push('Referencia (datos publicos verificables):')\n  for (const row of REFERENCE_DATA) {\n    lines.push(`  • ${row.feature}`)\n    lines.push(`    ahorro: ${row.saving}`)\n    lines.push(`    fuente: ${row.source} · verificado: ${row.verified_at}`)\n  }\n}\n"],"mappings":";;;;;;;;;;AAIA,OAAO,QAAQ;AASf,IAAM,cAAsC;AAAA,EAC1C,SAAS;AAAA,EACT,KAAK;AAAA,EACL,MAAM;AAAA,EACN,OAAO;AACT;AASA,SAAS,WAAW,QAAgC;AAClD,SAAO,WAAW,oBAAoB,WAAW;AACnD;AAEA,SAAS,uBAAuB,IAAQ,UAAqC;AAC3E,SAAO,GACJ;AAAA,IACC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAOF,EACC,IAAI,QAAQ;AACjB;AAQA,IAAM,iBAKD;AAAA,EACH;AAAA,IACE,SAAS;AAAA,IACT,QAAQ;AAAA,IACR,QAAQ;AAAA,IACR,aAAa;AAAA,EACf;AAAA,EACA;AAAA,IACE,SAAS;AAAA,IACT,QAAQ;AAAA,IACR,QAAQ;AAAA,IACR,aAAa;AAAA,EACf;AAAA,EACA;AAAA,IACE,SAAS;AAAA,IACT,QAAQ;AAAA,IACR,QAAQ;AAAA,IACR,aAAa;AAAA,EACf;AAAA,EACA;AAAA,IACE,SAAS;AAAA,IACT,QAAQ;AAAA,IACR,QAAQ;AAAA,IACR,aAAa;AAAA,EACf;AAAA,EACA;AAAA,IACE,SAAS;AAAA,IACT,QAAQ;AAAA,IACR,QAAQ;AAAA,IACR,aAAa;AAAA,EACf;AACF;AAEA,SAAS,cAAc,MAAgB,UAA0B;AAC/D,QAAM,OAAO,KAAK,KAAK,CAAC,MAAM,EAAE,WAAW,WAAW,CAAC;AACvD,MAAI,MAAM;AACR,UAAM,QAAQ,KAAK,MAAM,GAAG,EAAE,CAAC;AAC/B,QAAI,SAAS,SAAS,YAAa,QAAO;AAAA,EAC5C;AACA,SAAO;AACT;AAEO,SAAS,UAAU,OAAiB,CAAC,GAAG,OAAsB,CAAC,GAAW;AAC/E,QAAM,QAAQ,KAAK,UAAU,CAAC,MAAc,QAAQ,MAAM,CAAC;AAC3D,QAAM,MAAM,KAAK,OAAO,QAAQ,IAAI;AACpC,QAAM,SAAiB,KAAK,UAAU,cAAc,MAAM,KAAK;AAC/D,QAAM,OAAO,YAAY,MAAM;AAE/B,QAAM,aAAa,kBAAkB,GAAG;AACxC,QAAM,SAAS,uBAAuB,UAAU;AAEhD,QAAM,QAAkB,CAAC;AACzB,QAAM,KAAK,+CAA0C,MAAM,KAAK,IAAI,UAAU;AAC9E,QAAM,KAAK,EAAE;AAEb,MAAI,CAAC,GAAG,WAAW,MAAM,GAAG;AAC1B,UAAM,KAAK,mCAAmC;AAAA,EAChD,OAAO;AACL,UAAM,KAAK,MAAM,MAAM;AACvB,UAAM,QAAQ,IAAI,KAAK,KAAK,IAAI,IAAI,OAAO,KAAU,EAAE,YAAY;AACnE,UAAM,OAAO,uBAAuB,IAAI,KAAK;AAE7C,QAAI,cAAc;AAClB,QAAI,gBAAgB;AAEpB,UAAM,KAAK,oCAAoC;AAC/C,QAAI,KAAK,WAAW,GAAG;AACrB,YAAM,KAAK,iCAAiC;AAAA,IAC9C,OAAO;AACL,iBAAW,OAAO,MAAM;AACtB,cAAM,SAAS,IAAI,qBAAqB;AACxC,cAAM;AAAA,UACJ,KAAK,IAAI,OAAO,OAAO,CAAC,CAAC,KAAK,MAAM,MAAM,IAAI,KAAK,cAAc,IAAI,MAAM;AAAA,QAC7E;AACA,YAAI,WAAW,MAAM,EAAG,gBAAe,IAAI;AAAA,YACtC,kBAAiB,IAAI;AAAA,MAC5B;AAAA,IACF;AACA,UAAM,KAAK,EAAE;AACb,UAAM,KAAK,oBAAoB,WAAW,0BAAuB,aAAa,SAAS;AACvF,UAAM,KAAK,EAAE;AAAA,EACf;AAGA,QAAM,KAAK,iBAAiB;AAC5B,QAAM,KAAK,4EAAuE;AAClF,QAAM,KAAK,EAAE;AAEb,iBAAe,KAAK;AACpB,QAAM,MAAM,KAAK,IAAI,CAAC;AACtB,SAAO;AACT;AAEA,SAAS,eAAe,OAAuB;AAC7C,QAAM,KAAK,2CAA2C;AACtD,aAAW,OAAO,gBAAgB;AAChC,UAAM,KAAK,YAAO,IAAI,OAAO,EAAE;AAC/B,UAAM,KAAK,eAAe,IAAI,MAAM,EAAE;AACtC,UAAM,KAAK,eAAe,IAAI,MAAM,qBAAkB,IAAI,WAAW,EAAE;AAAA,EACzE;AACF;","names":[]}

dist/server-KUXDBXVT.js

-#!/usr/bin/env node
-import {
-  KNOWLEDGE_BASE,
-  getCoachSurfaceLog,
-  measureContextSize,
-  postSummaryToXray,
-  runRules
-} from "./chunk-4PA7MRTS.js";
-import "./chunk-KNYWGCEX.js";
-import {
-  applyAllowlist,
-  clearAllowlist,
-  generateFromHistory,
-  rollback
-} from "./chunk-3DLEPM6P.js";
-import {
-  ensureStorageDir
-} from "./chunk-VHP52B3J.js";
-import {
-  buildSuggestions,
-  checkSerenaHealth,
-  probeMcpPruning,
-  probePromptCaching,
-  probeRtk,
-  probeSerena
-} from "./chunk-DSMHUGNS.js";
-import {
-  measureCurrentSchemaBytes
-} from "./chunk-L5Z32XXL.js";
-import {
-  getCostReport,
-  getUsageStats
-} from "./chunk-BJYHIS4U.js";
-import {
-  BudgetManager
-} from "./chunk-XAYSOAZV.js";
-import {
-  buildQueries
-} from "./chunk-FT4EJUIT.js";
-import {
-  getDb
-} from "./chunk-L4GG4274.js";
-import {
-  resolveAnalyticsDbPath,
-  resolveProjectDir
-} from "./chunk-V4PINTCV.js";
-
-// src/server.ts
-import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
-
-// src/tools/budget.ts
-import { z } from "zod";
-
-// src/lib/response.ts
-var text = (t) => ({
-  content: [{ type: "text", text: t }]
-});
-var error = (t) => ({
-  content: [{ type: "text", text: `Error: ${t}` }],
-  isError: true
-});
-
-// src/tools/budget.ts
-var DAY_MS = 864e5;
-function sinceForPeriod(period) {
-  const now = Date.now();
-  switch (period) {
-    case "day":
-      return new Date(now - DAY_MS).toISOString();
-    case "week":
-      return new Date(now - 7 * DAY_MS).toISOString();
-    case "month":
-      return new Date(now - 30 * DAY_MS).toISOString();
-    case "session":
-    default:
-      return "1970-01-01T00:00:00.000Z";
-  }
-}
-function registerBudgetTools(server, db) {
-  const manager = new BudgetManager(db);
-  server.tool(
-    "budget_set",
-    "Define o actualiza un presupuesto de tokens. Precedencia: session > project. Modo warn avisa al exceder.",
-    {
-      scope: z.enum(["session", "project"]).describe("Ambito del presupuesto"),
-      scope_key: z.string().min(1).describe("Clave del scope (sessionId o projectHash)"),
-      limit_tokens: z.number().int().positive().max(1e7).describe("Limite en tokens (1..10_000_000)")
-    },
-    async ({ scope, scope_key, limit_tokens }) => {
-      try {
-        const budget = manager.setBudget({ scope, scope_key, limit_tokens });
-        return text(
-          [
-            "Presupuesto guardado:",
-            "",
-            `  scope:        ${budget.scope}`,
-            `  scope_key:    ${budget.scope_key}`,
-            `  limit_tokens: ${budget.limit_tokens}`,
-            `  mode:         ${budget.mode}`
-          ].join("\n")
-        );
-      } catch (e) {
-        return error(e instanceof Error ? e.message : String(e));
-      }
-    }
-  );
-  server.tool(
-    "budget_check",
-    "Consulta el estado del presupuesto activo (gasto actual, restante y porcentaje).",
-    {
-      session_id: z.string().optional().describe('ID de sesion (default: "default")'),
-      project_hash: z.string().optional().describe("Hash del proyecto para fallback a scope project")
-    },
-    async ({ session_id, project_hash }) => {
-      try {
-        const status = manager.checkBudget(session_id ?? "default", project_hash ?? null);
-        if (!status.active) {
-          return text("Sin presupuesto activo para la sesion/proyecto actual.");
-        }
-        const percent = (status.percent_used * 100).toFixed(1);
-        return text(
-          [
-            "Estado del presupuesto:",
-            "",
-            `  gastado:  ${status.spent} tokens`,
-            `  restante: ${status.remaining} tokens`,
-            `  uso:      ${percent}%`,
-            `  modo:     ${status.mode ?? "n/a"}`
-          ].join("\n")
-        );
-      } catch (e) {
-        return error(e instanceof Error ? e.message : String(e));
-      }
-    }
-  );
-  server.tool(
-    "budget_report",
-    "Muestra el consumo de tokens agrupado por herramienta y por fuente durante un periodo.",
-    {
-      period: z.enum(["session", "day", "week", "month"]).optional().describe("Periodo del reporte (default: day)")
-    },
-    async ({ period }) => {
-      try {
-        const since = sinceForPeriod(period ?? "day");
-        const report = manager.getBudgetReport(since);
-        const lines = [`Reporte de consumo (desde ${report.period_since}):`, ""];
-        lines.push("Por herramienta:");
-        if (report.by_tool.length === 0) {
-          lines.push("  (sin datos)");
-        } else {
-          for (const row of report.by_tool) {
-            lines.push(`  ${row.tool_name}: ${row.count} llamadas, ${row.tokens} tokens`);
-          }
-        }
-        lines.push("");
-        lines.push("Por fuente:");
-        if (report.by_source.length === 0) {
-          lines.push("  (sin datos)");
-        } else {
-          for (const row of report.by_source) {
-            lines.push(`  ${row.source}: ${row.count} llamadas, ${row.tokens} tokens`);
-          }
-        }
-        return text(lines.join("\n"));
-      } catch (e) {
-        return error(e instanceof Error ? e.message : String(e));
-      }
-    }
-  );
-}
-
-// src/tools/session.ts
-function registerSessionTools(_server, _db) {
-}
-
-// src/tools/orchestration.ts
-import { z as z2 } from "zod";
-
-// src/services/session-summary-builder.ts
-function buildSessionSummary(db, sessionId, version) {
-  const usage = getUsageStats(db, 1);
-  const cost = getCostReport(db, 1);
-  const serena = probeSerena();
-  const rtk = probeRtk();
-  const mcpPruning = probeMcpPruning();
-  const promptCaching = probePromptCaching();
-  const schema = measureCurrentSchemaBytes();
-  const coachTips = getCoachSurfaceLog(db, sessionId);
-  const projDir = resolveProjectDir();
-  const projName = projDir.split(/[\\/]/).filter(Boolean).pop() ?? "unknown";
-  return {
-    session_id: sessionId,
-    project_path: projDir,
-    project_name: projName,
-    total_tokens: usage.total_tokens,
-    total_events: usage.total_events,
-    by_source: usage.by_source,
-    by_tool: usage.by_tool.map((t) => ({
-      tool_name: t.tool_name,
-      count: t.count,
-      tokens: t.tokens
-    })),
-    cost_haiku: cost.estimated_cost_usd_haiku,
-    cost_sonnet: cost.estimated_cost_usd_sonnet,
-    cost_opus: cost.estimated_cost_usd_opus,
-    probes: {
-      serena: { present: serena.present, confidence: serena.confidence, signals: serena.signals },
-      rtk: { present: rtk.present, confidence: rtk.confidence, signals: rtk.signals },
-      mcp_pruning: {
-        present: mcpPruning.present,
-        confidence: mcpPruning.confidence,
-        signals: mcpPruning.signals
-      },
-      prompt_caching: { present: promptCaching.present, confidence: promptCaching.confidence }
-    },
-    coach_tips_surfaced: coachTips,
-    schema_measurement: {
-      tool_schema_tokens: schema.tool_schema_tokens,
-      mcp_servers: schema.mcp_servers
-    },
-    optimizer_version: version
-  };
-}
-
-// src/tools/orchestration.ts
-function registerOrchestrationTools(server, db) {
-  server.tool(
-    "mcp_usage_stats",
-    "Estadisticas de uso de tokens por herramienta y fuente en un periodo.",
-    {
-      days: z2.number().int().positive().max(365).optional().describe("Dias a analizar (default: 7)")
-    },
-    async ({ days }) => {
-      try {
-        const stats = getUsageStats(db, days ?? 7);
-        const lines = [
-          `Uso en los ultimos ${stats.period_days} dia(s):`,
-          "",
-          `Total: ${stats.total_tokens} tokens, ${stats.total_events} eventos`,
-          "",
-          "Por fuente:"
-        ];
-        if (stats.by_source.length === 0) {
-          lines.push("  (sin datos)");
-        } else {
-          for (const row of stats.by_source) {
-            lines.push(`  ${row.source}: ${row.tokens} tokens, ${row.count} llamadas`);
-          }
-        }
-        lines.push("");
-        lines.push("Top herramientas:");
-        if (stats.by_tool.length === 0) {
-          lines.push("  (sin datos)");
-        } else {
-          for (const row of stats.by_tool.slice(0, 10)) {
-            lines.push(`  ${row.tool_name}: ${row.tokens} tokens, ${row.count} llamadas`);
-          }
-        }
-        return text(lines.join("\n"));
-      } catch (e) {
-        return error(e instanceof Error ? e.message : String(e));
-      }
-    }
-  );
-  server.tool(
-    "mcp_cost_report",
-    "Reporte de coste estimado con rango Haiku-Sonnet-Opus y disclaimer honesto.",
-    {
-      days: z2.number().int().positive().max(365).optional().describe("Dias a analizar (default: 7)")
-    },
-    async ({ days }) => {
-      try {
-        const cost = getCostReport(db, days ?? 7);
-        const lines = [
-          `Reporte de coste (${cost.period_days} dia(s)):`,
-          "",
-          `Tokens totales: ${cost.total_tokens}`,
-          `Coste estimado (input pricing):`,
-          `  Haiku 4.5:  $${cost.estimated_cost_usd_haiku.toFixed(4)}  ($1/MTok)`,
-          `  Sonnet 4.6: $${cost.estimated_cost_usd_sonnet.toFixed(4)}  ($3/MTok)`,
-          `  Opus 4.6:   $${cost.estimated_cost_usd_opus.toFixed(4)}  ($5/MTok)`,
-          "",
-          `Nota: ${cost.disclaimer}`
-        ];
-        return text(lines.join("\n"));
-      } catch (e) {
-        return error(e instanceof Error ? e.message : String(e));
-      }
-    }
-  );
-  server.tool(
-    "optimization_status",
-    "Estado de las optimizaciones detectadas: serena, RTK, MCP pruning, prompt caching, schema size.",
-    {},
-    async () => {
-      try {
-        const serena = probeSerena();
-        const rtk = probeRtk();
-        const pruning = probeMcpPruning();
-        const pcProbe = probePromptCaching();
-        void pcProbe;
-        const schema = measureCurrentSchemaBytes();
-        const status = {
-          serena,
-          rtk,
-          mcp_pruning: pruning,
-          prompt_caching: {
-            active_by_default: true,
-            savings_tokens: null,
-            estimation_method: "unknown",
-            note: "Revisa tu factura Anthropic para confirmar el ahorro real"
-          },
-          schema_bytes: {
-            tool_schema_bytes: schema.tool_schema_bytes,
-            measurement_method: schema.measurement_method
-          }
-        };
-        const serenaHealth = serena.present ? checkSerenaHealth() : [];
-        const suggestions = buildSuggestions(status);
-        try {
-          const lastSession = db.prepare("SELECT id FROM sessions ORDER BY started_at DESC LIMIT 1").get();
-          if (lastSession) {
-            const summary = buildSessionSummary(db, lastSession.id, "0.2.6");
-            void postSummaryToXray(summary).catch(() => {
-            });
-          }
-        } catch {
-        }
-        return text(JSON.stringify({ status, serena_health: serenaHealth, suggestions }, null, 2));
-      } catch (e) {
-        return error(e instanceof Error ? e.message : String(e));
-      }
-    }
-  );
-  server.tool(
-    "mcp_prune_suggest",
-    "Genera un allowlist de MCPs basandose en el historial (NO modifica archivos).",
-    {
-      days: z2.number().int().positive().max(365).optional().describe("Dias de historial a analizar (default: 14)")
-    },
-    async ({ days }) => {
-      try {
-        const proposal = generateFromHistory({ days: days ?? 14 });
-        return text(JSON.stringify(proposal, null, 2));
-      } catch (e) {
-        return error(e instanceof Error ? e.message : String(e));
-      }
-    }
-  );
-  server.tool(
-    "mcp_prune_apply",
-    "Restringe los MCPs activos escribiendo enabledMcpjsonServers en .claude/settings.local.json. Requiere confirm:true. Acepta dos formas equivalentes: allowlist (lista blanca, los que SI quieres) o exclude (lista negra, los que NO quieres). Se debe pasar exactamente una de las dos.",
-    {
-      allowlist: z2.array(z2.string()).optional().describe("Nombres de MCPs a permitir (lista blanca). Exclusivo con exclude."),
-      exclude: z2.array(z2.string()).optional().describe(
-        "Nombres de MCPs a desactivar (lista negra). Internamente se traduce a allowlist = registrados - exclude. Exclusivo con allowlist."
-      ),
-      confirm: z2.boolean().describe("Debe ser true para confirmar la escritura")
-    },
-    async ({ allowlist, exclude, confirm }) => {
-      try {
-        if (confirm !== true) {
-          return error(
-            "Operacion destructiva: requiere confirm:true. Revisa el allowlist antes de aplicar."
-          );
-        }
-        const hasAllow = Array.isArray(allowlist);
-        const hasExclude = Array.isArray(exclude);
-        if (hasAllow === hasExclude) {
-          return error(
-            "Debes pasar exactamente uno: allowlist (los que SI quieres) o exclude (los que NO quieres)."
-          );
-        }
-        const schema = measureCurrentSchemaBytes();
-        const registered = new Set(schema.mcp_servers);
-        let effective;
-        let translationNote = "";
-        if (hasAllow) {
-          effective = allowlist;
-          if (registered.size > 0) {
-            const invalid = effective.filter((s) => !registered.has(s));
-            if (invalid.length > 0) {
-              return error(
-                `Allowlist contiene MCPs no registrados en settings: ${invalid.join(", ")}`
-              );
-            }
-          }
-        } else {
-          const excludeSet = new Set(exclude);
-          if (registered.size > 0) {
-            const invalid = exclude.filter((s) => !registered.has(s));
-            if (invalid.length > 0) {
-              return error(
-                `Exclude contiene MCPs no registrados en settings: ${invalid.join(", ")}`
-              );
-            }
-          }
-          effective = [...registered].filter((s) => !excludeSet.has(s));
-          translationNote = `
-  exclude: [${exclude.join(", ")}]
-  \u2192 allowlist efectivo: [${effective.join(", ")}]`;
-        }
-        const applied = applyAllowlist(effective, { source: "mcp" });
-        return text(
-          `Allowlist aplicado.${translationNote}
-  settings: ${applied.settings_path}
-  backup:   ${applied.backup_path}`
-        );
-      } catch (e) {
-        return error(e instanceof Error ? e.message : String(e));
-      }
-    }
-  );
-  server.tool(
-    "mcp_prune_rollback",
-    "Restaura el backup mas reciente de settings.local.json. Requiere confirm:true.",
-    {
-      confirm: z2.boolean(),
-      to: z2.string().optional().describe("Timestamp opcional del backup a restaurar")
-    },
-    async ({ confirm, to }) => {
-      try {
-        if (confirm !== true) {
-          return error("Operacion destructiva: requiere confirm:true.");
-        }
-        const result = rollback(to !== void 0 ? { to } : {});
-        if (!result.restored) return error("No hay backups disponibles.");
-        return text(`Restaurado desde ${result.from}`);
-      } catch (e) {
-        return error(e instanceof Error ? e.message : String(e));
-      }
-    }
-  );
-  server.tool(
-    "mcp_prune_clear",
-    "Elimina el allowlist de settings.local.json (crea backup). Requiere confirm:true.",
-    {
-      confirm: z2.boolean()
-    },
-    async ({ confirm }) => {
-      try {
-        if (confirm !== true) {
-          return error("Operacion destructiva: requiere confirm:true.");
-        }
-        const result = clearAllowlist();
-        return text(
-          result.cleared ? `Allowlist eliminado (backup: ${result.backup_path})` : "Nada que eliminar"
-        );
-      } catch (e) {
-        return error(e instanceof Error ? e.message : String(e));
-      }
-    }
-  );
-}
-
-// src/tools/coach.ts
-import { z as z3 } from "zod";
-
-// src/coach/reference-data.ts
-var REFERENCE_DATA = [
-  {
-    feature: "Model switching (opusplan / default-to-sonnet)",
-    saving: "60-80% reduccion de coste",
-    source: "mindstudio.ai, verdent.ai, claudelab.net",
-    verified_at: "2026-04-11",
-    estimation_method: "reference_measured"
-  },
-  {
-    feature: "Progressive disclosure skills",
-    saving: "~15k tokens/sesion (82% mejor que CLAUDE.md monolitico)",
-    source: "claudefast.com",
-    verified_at: "2026-04-11",
-    estimation_method: "reference_measured"
-  },
-  {
-    feature: "Prompt caching read hit",
-    saving: "10x mas barato que uncached",
-    source: "Anthropic docs",
-    verified_at: "2026-04-11",
-    estimation_method: "reference_measured"
-  },
-  {
-    feature: "Claude Code Tool Search",
-    saving: "~85% schema reduction (77k \u2192 8.7k tokens)",
-    source: "observado en sesion",
-    verified_at: "2026-04-11",
-    estimation_method: "reference_measured"
-  },
-  {
-    feature: "MCP pruning sobre Tool Search",
-    saving: "~5-12% adicional por turno",
-    source: "estimacion interna",
-    verified_at: "2026-04-11",
-    estimation_method: "reference_measured"
-  }
-];
-var DAY_MS2 = 864e5;
-function getStaleRows(daysThreshold = 90, today = /* @__PURE__ */ new Date()) {
-  const cutoff = today.getTime() - daysThreshold * DAY_MS2;
-  return REFERENCE_DATA.filter((r) => new Date(r.verified_at).getTime() < cutoff);
-}
-
-// src/coach/tips-payload.ts
-async function computeCoachTipsPayload(opts) {
-  const { db } = opts;
-  const sessionId = opts.sessionId ?? "default";
-  const contextOpts = { db };
-  if (opts.projectDir !== void 0) contextOpts.projectDir = opts.projectDir;
-  if (opts.activeModel !== void 0) contextOpts.activeModel = opts.activeModel;
-  const context = await measureContextSize(sessionId, contextOpts);
-  const queries = buildQueries(db);
-  const since = new Date(Date.now() - 864e5).toISOString();
-  const rawRows = queries.getToolCallsSince(since);
-  const events = rawRows.slice(0, 100);
-  const ctx = {
-    session_id: sessionId,
-    events,
-    session_token_total: context.tokens,
-    session_token_method: context.estimation_method,
-    session_token_limit: context.limit,
-    active_model: opts.activeModel ?? null
-  };
-  const hits = runRules(ctx);
-  const staleTips = getStaleRows();
-  return {
-    current: hits,
-    known_tricks: KNOWLEDGE_BASE,
-    context,
-    reference_data: REFERENCE_DATA,
-    stale_reference_count: staleTips.length,
-    last_computed_at: (/* @__PURE__ */ new Date()).toISOString()
-  };
-}
-
-// src/tools/coach.ts
-function registerCoachTools(server, db) {
-  server.tool(
-    "coach_tips",
-    "Devuelve tips activos (rules disparadas) y medicion de contexto. Por defecto modo compacto (~500 tokens). Usa verbose=true para incluir el catalogo completo de 18 tips y la tabla de referencia (~3.5k tokens).",
-    {
-      session_id: z3.string().optional().describe('ID de la sesion (default: "default")'),
-      project_dir: z3.string().optional().describe("Directorio del proyecto para medir contexto desde transcript JSONL"),
-      active_model: z3.string().optional().describe("Modelo activo (opcional, habilita regla detect-opus-for-simple-task)"),
-      verbose: z3.boolean().optional().describe(
-        "Si true, incluye el knowledge base completo (18 tips) y la reference data. Default false = solo hits activos + contexto. Ahorra ~3.3k tokens por llamada en modo compacto."
-      )
-    },
-    async ({ session_id, project_dir, active_model, verbose }) => {
-      try {
-        const payloadOpts = { db };
-        if (session_id !== void 0) payloadOpts.sessionId = session_id;
-        if (project_dir !== void 0) payloadOpts.projectDir = project_dir;
-        if (active_model !== void 0) payloadOpts.activeModel = active_model;
-        const response = await computeCoachTipsPayload(payloadOpts);
-        if (verbose !== true) {
-          const { known_tricks: _kb, reference_data: _ref, ...compact } = response;
-          return text(JSON.stringify(compact, null, 2));
-        }
-        return text(JSON.stringify(response, null, 2));
-      } catch (e) {
-        return error(e instanceof Error ? e.message : String(e));
-      }
-    }
-  );
-}
-
-// src/tools/toon.ts
-import { z as z4 } from "zod";
-function compactEncode(data) {
-  try {
-    return JSON.stringify(data);
-  } catch (e) {
-    const msg = e instanceof Error ? e.message : String(e);
-    if (/circular|cyclic/i.test(msg)) {
-      throw new Error("Referencia circular detectada: TOON no soporta objetos ciclicos");
-    }
-    throw new Error(`No se pudo codificar a TOON: ${msg}`);
-  }
-}
-function compactDecode(toon) {
-  try {
-    return JSON.parse(toon);
-  } catch (e) {
-    throw new Error(`TOON invalido: ${e instanceof Error ? e.message : String(e)}`);
-  }
-}
-function registerToonTools(server) {
-  server.tool(
-    "toon_encode",
-    "Codifica un objeto JSON a formato TOON (JSON compacto token-eficiente, round-trip lossless).",
-    {
-      data: z4.unknown().describe("Valor a codificar (objeto, array, primitivo)")
-    },
-    async ({ data }) => {
-      try {
-        const encoded = compactEncode(data);
-        return text(encoded);
-      } catch (e) {
-        return error(e instanceof Error ? e.message : String(e));
-      }
-    }
-  );
-  server.tool(
-    "toon_decode",
-    "Decodifica una cadena TOON a JSON. Devuelve el objeto formateado para lectura.",
-    {
-      toon: z4.string().min(1).describe("Cadena TOON a decodificar")
-    },
-    async ({ toon }) => {
-      try {
-        const decoded = compactDecode(toon);
-        return text(JSON.stringify(decoded, null, 2));
-      } catch (e) {
-        return error(e instanceof Error ? e.message : String(e));
-      }
-    }
-  );
-}
-
-// src/resources/coach-tips.ts
-var COACH_TIPS_URI = "token-optimizer://coach/tips";
-function registerCoachTipsResource(server, db) {
-  server.resource(
-    "coach-tips",
-    COACH_TIPS_URI,
-    {
-      description: "Tips activos del coach, catalogo completo de trucos, medicion de contexto y tabla de referencia.",
-      mimeType: "application/json"
-    },
-    async (uri) => {
-      try {
-        const payload = await computeCoachTipsPayload({ db });
-        return {
-          contents: [
-            {
-              uri: uri.href,
-              mimeType: "application/json",
-              text: JSON.stringify(payload, null, 2)
-            }
-          ]
-        };
-      } catch (e) {
-        const message = e instanceof Error ? e.message : String(e);
-        return {
-          contents: [
-            {
-              uri: uri.href,
-              mimeType: "application/json",
-              text: JSON.stringify({ error: message })
-            }
-          ]
-        };
-      }
-    }
-  );
-}
-
-// src/server.ts
-var VERSION = true ? "0.4.20" : "0.1.0";
-var INSTRUCTIONS = `token-optimizer-mcp: orchestration + observability + coach layer for Claude Code.
-
-Measures tool usage, enforces token budgets, advises on complementary tools (serena, RTK),
-and proactively surfaces savings tips. Coach layer detects inefficiencies and suggests
-optimizations like opusplan, /compact, plan mode, and more.
-
-Does NOT replace serena (symbolic file reads) or RTK (Bash output filtering) \u2014
-coordinates with them and adds measurements, budgets, compact recovery, and coaching.`;
-function createServer(options = {}) {
-  const resolvedProject = options.projectDir ?? resolveProjectDir();
-  const dbPath = options.dbPath ?? (options.storageDir === ":memory:" ? ":memory:" : (ensureStorageDir(resolvedProject), resolveAnalyticsDbPath(resolvedProject)));
-  const db = getDb(dbPath);
-  const server = new McpServer(
-    {
-      name: "token-optimizer-mcp",
-      version: VERSION
-    },
-    {
-      instructions: INSTRUCTIONS
-    }
-  );
-  registerBudgetTools(server, db);
-  registerSessionTools(server, db);
-  registerOrchestrationTools(server, db);
-  registerCoachTools(server, db);
-  registerCoachTipsResource(server, db);
-  registerToonTools(server);
-  return server;
-}
-export {
-  createServer
-};
-//# sourceMappingURL=server-KUXDBXVT.js.map

dist/server-KUXDBXVT.js.map

-{"version":3,"sources":["../src/server.ts","../src/tools/budget.ts","../src/lib/response.ts","../src/tools/session.ts","../src/tools/orchestration.ts","../src/services/session-summary-builder.ts","../src/tools/coach.ts","../src/coach/reference-data.ts","../src/coach/tips-payload.ts","../src/tools/toon.ts","../src/resources/coach-tips.ts"],"sourcesContent":["// createServer factory — Phase 1.13\n// Returns a configured McpServer. Tools are registered in later phases.\n\nimport { McpServer } from '@modelcontextprotocol/sdk/server/mcp.js'\nimport { getDb } from './db/connection.js'\nimport { resolveProjectDir, resolveAnalyticsDbPath } from './lib/paths.js'\nimport { ensureStorageDir } from './lib/storage.js'\nimport { registerBudgetTools } from './tools/budget.js'\nimport { registerSessionTools } from './tools/session.js'\nimport { registerOrchestrationTools } from './tools/orchestration.js'\nimport { registerCoachTools } from './tools/coach.js'\nimport { registerToonTools } from './tools/toon.js'\nimport { registerCoachTipsResource } from './resources/coach-tips.js'\n\ndeclare const __PKG_VERSION__: string\nconst VERSION = typeof __PKG_VERSION__ !== 'undefined' ? __PKG_VERSION__ : '0.1.0'\n\nconst INSTRUCTIONS = `token-optimizer-mcp: orchestration + observability + coach layer for Claude Code.\n\nMeasures tool usage, enforces token budgets, advises on complementary tools (serena, RTK),\nand proactively surfaces savings tips. Coach layer detects inefficiencies and suggests\noptimizations like opusplan, /compact, plan mode, and more.\n\nDoes NOT replace serena (symbolic file reads) or RTK (Bash output filtering) —\ncoordinates with them and adds measurements, budgets, compact recovery, and coaching.`\n\nexport interface CreateServerOptions {\n  storageDir?: string\n  projectDir?: string\n  dbPath?: string\n}\n\nexport function createServer(options: CreateServerOptions = {}): McpServer {\n  const resolvedProject = options.projectDir ?? resolveProjectDir()\n  const dbPath =\n    options.dbPath ??\n    (options.storageDir === ':memory:'\n      ? ':memory:'\n      : (ensureStorageDir(resolvedProject), resolveAnalyticsDbPath(resolvedProject)))\n\n  // Initialize DB (schema created by getDb)\n  const db = getDb(dbPath)\n\n  const server = new McpServer(\n    {\n      name: 'token-optimizer-mcp',\n      version: VERSION,\n    },\n    {\n      instructions: INSTRUCTIONS,\n    },\n  )\n\n  // Phase 2 tools\n  registerBudgetTools(server, db)\n  // Phase 3 tools\n  registerSessionTools(server, db)\n  // Phase 4 tools\n  registerOrchestrationTools(server, db)\n  registerCoachTools(server, db)\n  registerCoachTipsResource(server, db)\n  // Phase 5 tools\n  registerToonTools(server)\n\n  return server\n}\n","// Budget MCP tools — Phase 2.4\n// budget_set, budget_check, budget_report\n\nimport { z } from 'zod'\nimport type { McpServer } from '@modelcontextprotocol/sdk/server/mcp.js'\nimport type Database from 'better-sqlite3'\nimport { BudgetManager } from '../services/budget-manager.js'\nimport { text, error } from '../lib/response.js'\n\ntype DB = Database.Database\n\nconst DAY_MS = 86_400_000\n\nfunction sinceForPeriod(period: 'session' | 'day' | 'week' | 'month'): string {\n  const now = Date.now()\n  switch (period) {\n    case 'day':\n      return new Date(now - DAY_MS).toISOString()\n    case 'week':\n      return new Date(now - 7 * DAY_MS).toISOString()\n    case 'month':\n      return new Date(now - 30 * DAY_MS).toISOString()\n    case 'session':\n    default:\n      return '1970-01-01T00:00:00.000Z'\n  }\n}\n\nexport function registerBudgetTools(server: McpServer, db: DB): void {\n  const manager = new BudgetManager(db)\n\n  // ── budget_set ──\n  server.tool(\n    'budget_set',\n    'Define o actualiza un presupuesto de tokens. Precedencia: session > project. Modo warn avisa al exceder.',\n    {\n      scope: z.enum(['session', 'project']).describe('Ambito del presupuesto'),\n      scope_key: z.string().min(1).describe('Clave del scope (sessionId o projectHash)'),\n      limit_tokens: z\n        .number()\n        .int()\n        .positive()\n        .max(10_000_000)\n        .describe('Limite en tokens (1..10_000_000)'),\n    },\n    async ({ scope, scope_key, limit_tokens }) => {\n      try {\n        const budget = manager.setBudget({ scope, scope_key, limit_tokens })\n        return text(\n          [\n            'Presupuesto guardado:',\n            '',\n            `  scope:        ${budget.scope}`,\n            `  scope_key:    ${budget.scope_key}`,\n            `  limit_tokens: ${budget.limit_tokens}`,\n            `  mode:         ${budget.mode}`,\n          ].join('\\n'),\n        )\n      } catch (e) {\n        return error(e instanceof Error ? e.message : String(e))\n      }\n    },\n  )\n\n  // ── budget_check ──\n  server.tool(\n    'budget_check',\n    'Consulta el estado del presupuesto activo (gasto actual, restante y porcentaje).',\n    {\n      session_id: z.string().optional().describe('ID de sesion (default: \"default\")'),\n      project_hash: z\n        .string()\n        .optional()\n        .describe('Hash del proyecto para fallback a scope project'),\n    },\n    async ({ session_id, project_hash }) => {\n      try {\n        const status = manager.checkBudget(session_id ?? 'default', project_hash ?? null)\n        if (!status.active) {\n          return text('Sin presupuesto activo para la sesion/proyecto actual.')\n        }\n        const percent = (status.percent_used * 100).toFixed(1)\n        return text(\n          [\n            'Estado del presupuesto:',\n            '',\n            `  gastado:  ${status.spent} tokens`,\n            `  restante: ${status.remaining} tokens`,\n            `  uso:      ${percent}%`,\n            `  modo:     ${status.mode ?? 'n/a'}`,\n          ].join('\\n'),\n        )\n      } catch (e) {\n        return error(e instanceof Error ? e.message : String(e))\n      }\n    },\n  )\n\n  // ── budget_report ──\n  server.tool(\n    'budget_report',\n    'Muestra el consumo de tokens agrupado por herramienta y por fuente durante un periodo.',\n    {\n      period: z\n        .enum(['session', 'day', 'week', 'month'])\n        .optional()\n        .describe('Periodo del reporte (default: day)'),\n    },\n    async ({ period }) => {\n      try {\n        const since = sinceForPeriod(period ?? 'day')\n        const report = manager.getBudgetReport(since)\n        const lines = [`Reporte de consumo (desde ${report.period_since}):`, '']\n        lines.push('Por herramienta:')\n        if (report.by_tool.length === 0) {\n          lines.push('  (sin datos)')\n        } else {\n          for (const row of report.by_tool) {\n            lines.push(`  ${row.tool_name}: ${row.count} llamadas, ${row.tokens} tokens`)\n          }\n        }\n        lines.push('')\n        lines.push('Por fuente:')\n        if (report.by_source.length === 0) {\n          lines.push('  (sin datos)')\n        } else {\n          for (const row of report.by_source) {\n            lines.push(`  ${row.source}: ${row.count} llamadas, ${row.tokens} tokens`)\n          }\n        }\n        return text(lines.join('\\n'))\n      } catch (e) {\n        return error(e instanceof Error ? e.message : String(e))\n      }\n    },\n  )\n}\n","// Shared MCP tool response helpers — Phase 2\n\nexport const text = (t: string) => ({\n  content: [{ type: 'text' as const, text: t }],\n})\n\nexport const error = (t: string) => ({\n  content: [{ type: 'text' as const, text: `Error: ${t}` }],\n  isError: true as const,\n})\n","// Session tools — Phase 3.3 (simplified: session_search removed, FTS5 no longer available)\n\nimport type { McpServer } from '@modelcontextprotocol/sdk/server/mcp.js'\nimport type Database from 'better-sqlite3'\n\ntype DB = Database.Database\n\n// No session tools registered after FTS5 removal.\n// Keeping the function signature for backwards compatibility with server.ts imports.\nexport function registerSessionTools(_server: McpServer, _db: DB): void {\n  // noop\n}\n","// Orchestration MCP tools — Phase 4.23-4.28\n// mcp_usage_stats, mcp_cost_report, optimization_status,\n// mcp_prune_suggest, mcp_prune_apply, mcp_prune_rollback, mcp_prune_clear\n\nimport { z } from 'zod'\nimport type { McpServer } from '@modelcontextprotocol/sdk/server/mcp.js'\nimport type Database from 'better-sqlite3'\nimport { text, error } from '../lib/response.js'\nimport { getUsageStats, getCostReport } from '../services/stats.js'\nimport {\n  probeSerena,\n  probeRtk,\n  probeMcpPruning,\n  probePromptCaching,\n  checkSerenaHealth,\n} from '../orchestration/detector.js'\nimport { measureCurrentSchemaBytes } from '../orchestration/schema-measurer.js'\nimport { buildSuggestions } from '../orchestration/advisor.js'\nimport {\n  generateFromHistory,\n  applyAllowlist,\n  rollback,\n  clearAllowlist,\n} from '../cli/prune-mcp.js'\nimport type { OptimizationStatus } from '../lib/types.js'\nimport { buildSessionSummary } from '../services/session-summary-builder.js'\nimport { postSummaryToXray } from '../services/xray-client.js'\n\ntype DB = Database.Database\n\nexport function registerOrchestrationTools(server: McpServer, db: DB): void {\n  // ── mcp_usage_stats ──\n  server.tool(\n    'mcp_usage_stats',\n    'Estadisticas de uso de tokens por herramienta y fuente en un periodo.',\n    {\n      days: z.number().int().positive().max(365).optional().describe('Dias a analizar (default: 7)'),\n    },\n    async ({ days }) => {\n      try {\n        const stats = getUsageStats(db, days ?? 7)\n        const lines = [\n          `Uso en los ultimos ${stats.period_days} dia(s):`,\n          '',\n          `Total: ${stats.total_tokens} tokens, ${stats.total_events} eventos`,\n          '',\n          'Por fuente:',\n        ]\n        if (stats.by_source.length === 0) {\n          lines.push('  (sin datos)')\n        } else {\n          for (const row of stats.by_source) {\n            lines.push(`  ${row.source}: ${row.tokens} tokens, ${row.count} llamadas`)\n          }\n        }\n        lines.push('')\n        lines.push('Top herramientas:')\n        if (stats.by_tool.length === 0) {\n          lines.push('  (sin datos)')\n        } else {\n          for (const row of stats.by_tool.slice(0, 10)) {\n            lines.push(`  ${row.tool_name}: ${row.tokens} tokens, ${row.count} llamadas`)\n          }\n        }\n        return text(lines.join('\\n'))\n      } catch (e) {\n        return error(e instanceof Error ? e.message : String(e))\n      }\n    },\n  )\n\n  // ── mcp_cost_report ──\n  server.tool(\n    'mcp_cost_report',\n    'Reporte de coste estimado con rango Haiku-Sonnet-Opus y disclaimer honesto.',\n    {\n      days: z\n        .number()\n        .int()\n        .positive()\n        .max(365)\n        .optional()\n        .describe('Dias a analizar (default: 7)'),\n    },\n    async ({ days }) => {\n      try {\n        const cost = getCostReport(db, days ?? 7)\n        const lines = [\n          `Reporte de coste (${cost.period_days} dia(s)):`,\n          '',\n          `Tokens totales: ${cost.total_tokens}`,\n          `Coste estimado (input pricing):`,\n          `  Haiku 4.5:  $${cost.estimated_cost_usd_haiku.toFixed(4)}  ($1/MTok)`,\n          `  Sonnet 4.6: $${cost.estimated_cost_usd_sonnet.toFixed(4)}  ($3/MTok)`,\n          `  Opus 4.6:   $${cost.estimated_cost_usd_opus.toFixed(4)}  ($5/MTok)`,\n          '',\n          `Nota: ${cost.disclaimer}`,\n        ]\n        return text(lines.join('\\n'))\n      } catch (e) {\n        return error(e instanceof Error ? e.message : String(e))\n      }\n    },\n  )\n\n  // ── optimization_status ──\n  server.tool(\n    'optimization_status',\n    'Estado de las optimizaciones detectadas: serena, RTK, MCP pruning, prompt caching, schema size.',\n    {},\n    async () => {\n      try {\n        const serena = probeSerena()\n        const rtk = probeRtk()\n        const pruning = probeMcpPruning()\n        const pcProbe = probePromptCaching()\n        void pcProbe\n        const schema = measureCurrentSchemaBytes()\n        // Always include prompt_caching with explicit estimation_method per measurement-honesty spec\n        const status: OptimizationStatus = {\n          serena,\n          rtk,\n          mcp_pruning: pruning,\n          prompt_caching: {\n            active_by_default: true,\n            savings_tokens: null,\n            estimation_method: 'unknown',\n            note: 'Revisa tu factura Anthropic para confirmar el ahorro real',\n          },\n          schema_bytes: {\n            tool_schema_bytes: schema.tool_schema_bytes,\n            measurement_method: schema.measurement_method,\n          },\n        }\n        const serenaHealth = serena.present ? checkSerenaHealth() : []\n        const suggestions = buildSuggestions(status)\n\n        // Fire-and-forget summary to xray (if XRAY_URL is set)\n        try {\n          const lastSession = db\n            .prepare('SELECT id FROM sessions ORDER BY started_at DESC LIMIT 1')\n            .get() as { id: string } | undefined\n          if (lastSession) {\n            const summary = buildSessionSummary(db, lastSession.id, '0.2.6')\n            void postSummaryToXray(summary as unknown as Record<string, unknown>).catch(() => {})\n          }\n        } catch {\n          // Silent — xray is optional\n        }\n\n        return text(JSON.stringify({ status, serena_health: serenaHealth, suggestions }, null, 2))\n      } catch (e) {\n        return error(e instanceof Error ? e.message : String(e))\n      }\n    },\n  )\n\n  // ── mcp_prune_suggest ──\n  server.tool(\n    'mcp_prune_suggest',\n    'Genera un allowlist de MCPs basandose en el historial (NO modifica archivos).',\n    {\n      days: z\n        .number()\n        .int()\n        .positive()\n        .max(365)\n        .optional()\n        .describe('Dias de historial a analizar (default: 14)'),\n    },\n    async ({ days }) => {\n      try {\n        const proposal = generateFromHistory({ days: days ?? 14 })\n        return text(JSON.stringify(proposal, null, 2))\n      } catch (e) {\n        return error(e instanceof Error ? e.message : String(e))\n      }\n    },\n  )\n\n  // ── mcp_prune_apply ──\n  server.tool(\n    'mcp_prune_apply',\n    'Restringe los MCPs activos escribiendo enabledMcpjsonServers en .claude/settings.local.json. Requiere confirm:true. Acepta dos formas equivalentes: allowlist (lista blanca, los que SI quieres) o exclude (lista negra, los que NO quieres). Se debe pasar exactamente una de las dos.',\n    {\n      allowlist: z\n        .array(z.string())\n        .optional()\n        .describe('Nombres de MCPs a permitir (lista blanca). Exclusivo con exclude.'),\n      exclude: z\n        .array(z.string())\n        .optional()\n        .describe(\n          'Nombres de MCPs a desactivar (lista negra). Internamente se traduce a allowlist = registrados - exclude. Exclusivo con allowlist.',\n        ),\n      confirm: z.boolean().describe('Debe ser true para confirmar la escritura'),\n    },\n    async ({ allowlist, exclude, confirm }) => {\n      try {\n        if (confirm !== true) {\n          return error(\n            'Operacion destructiva: requiere confirm:true. Revisa el allowlist antes de aplicar.',\n          )\n        }\n        const hasAllow = Array.isArray(allowlist)\n        const hasExclude = Array.isArray(exclude)\n        if (hasAllow === hasExclude) {\n          return error(\n            'Debes pasar exactamente uno: allowlist (los que SI quieres) o exclude (los que NO quieres).',\n          )\n        }\n\n        const schema = measureCurrentSchemaBytes()\n        const registered = new Set(schema.mcp_servers)\n\n        let effective: string[]\n        let translationNote = ''\n\n        if (hasAllow) {\n          effective = allowlist as string[]\n          if (registered.size > 0) {\n            const invalid = effective.filter((s) => !registered.has(s))\n            if (invalid.length > 0) {\n              return error(\n                `Allowlist contiene MCPs no registrados en settings: ${invalid.join(', ')}`,\n              )\n            }\n          }\n        } else {\n          const excludeSet = new Set(exclude as string[])\n          if (registered.size > 0) {\n            const invalid = (exclude as string[]).filter((s) => !registered.has(s))\n            if (invalid.length > 0) {\n              return error(\n                `Exclude contiene MCPs no registrados en settings: ${invalid.join(', ')}`,\n              )\n            }\n          }\n          effective = [...registered].filter((s) => !excludeSet.has(s))\n          translationNote = `\\n  exclude: [${(exclude as string[]).join(', ')}]\\n  → allowlist efectivo: [${effective.join(', ')}]`\n        }\n\n        const applied = applyAllowlist(effective, { source: 'mcp' })\n        return text(\n          `Allowlist aplicado.${translationNote}\\n  settings: ${applied.settings_path}\\n  backup:   ${applied.backup_path}`,\n        )\n      } catch (e) {\n        return error(e instanceof Error ? e.message : String(e))\n      }\n    },\n  )\n\n  // ── mcp_prune_rollback ──\n  server.tool(\n    'mcp_prune_rollback',\n    'Restaura el backup mas reciente de settings.local.json. Requiere confirm:true.',\n    {\n      confirm: z.boolean(),\n      to: z.string().optional().describe('Timestamp opcional del backup a restaurar'),\n    },\n    async ({ confirm, to }) => {\n      try {\n        if (confirm !== true) {\n          return error('Operacion destructiva: requiere confirm:true.')\n        }\n        const result = rollback(to !== undefined ? { to } : {})\n        if (!result.restored) return error('No hay backups disponibles.')\n        return text(`Restaurado desde ${result.from}`)\n      } catch (e) {\n        return error(e instanceof Error ? e.message : String(e))\n      }\n    },\n  )\n\n  // ── mcp_prune_clear ──\n  server.tool(\n    'mcp_prune_clear',\n    'Elimina el allowlist de settings.local.json (crea backup). Requiere confirm:true.',\n    {\n      confirm: z.boolean(),\n    },\n    async ({ confirm }) => {\n      try {\n        if (confirm !== true) {\n          return error('Operacion destructiva: requiere confirm:true.')\n        }\n        const result = clearAllowlist()\n        return text(\n          result.cleared ? `Allowlist eliminado (backup: ${result.backup_path})` : 'Nada que eliminar',\n        )\n      } catch (e) {\n        return error(e instanceof Error ? e.message : String(e))\n      }\n    },\n  )\n}\n","// Session summary builder for xray integration.\n// Aggregates all local data sources into a single payload for xray.\n// Only called once per session (not in PostToolUse hot path).\n\nimport type Database from 'better-sqlite3'\nimport { getUsageStats, getCostReport } from './stats.js'\nimport {\n  probeSerena,\n  probeRtk,\n  probeMcpPruning,\n  probePromptCaching,\n} from '../orchestration/detector.js'\nimport { measureCurrentSchemaBytes } from '../orchestration/schema-measurer.js'\nimport { getCoachSurfaceLog } from '../coach/surface.js'\nimport { resolveProjectDir } from '../lib/paths.js'\n\ntype DB = Database.Database\n\nexport interface XraySummaryPayload {\n  session_id: string\n  project_path: string\n  project_name: string\n  total_tokens: number\n  total_events: number\n  by_source: Array<{ source: string; count: number; tokens: number }>\n  by_tool: Array<{ tool_name: string; count: number; tokens: number }>\n  cost_haiku: number\n  cost_sonnet: number\n  cost_opus: number\n  probes: {\n    serena: { present: boolean; confidence: number; signals: string[] }\n    rtk: { present: boolean; confidence: number; signals: string[] }\n    mcp_pruning: { present: boolean; confidence: number; signals: string[] }\n    prompt_caching: { present: boolean; confidence: number }\n  }\n  coach_tips_surfaced: Array<{ rule_id: string; tip_ids: string[]; severity: string }>\n  schema_measurement: { tool_schema_tokens: number; mcp_servers: string[] }\n  optimizer_version: string\n}\n\nexport function buildSessionSummary(\n  db: DB,\n  sessionId: string,\n  version: string,\n): XraySummaryPayload {\n  // Usage stats for last 24h (covers the session)\n  const usage = getUsageStats(db, 1)\n  const cost = getCostReport(db, 1)\n\n  // Detection probes (reads local files, no network)\n  const serena = probeSerena()\n  const rtk = probeRtk()\n  const mcpPruning = probeMcpPruning()\n  const promptCaching = probePromptCaching()\n\n  // Schema measurement (reads settings files, no network)\n  const schema = measureCurrentSchemaBytes()\n\n  // Coach tips surfaced during this session\n  const coachTips = getCoachSurfaceLog(db, sessionId)\n\n  const projDir = resolveProjectDir()\n  const projName = projDir.split(/[\\\\/]/).filter(Boolean).pop() ?? 'unknown'\n\n  return {\n    session_id: sessionId,\n    project_path: projDir,\n    project_name: projName,\n    total_tokens: usage.total_tokens,\n    total_events: usage.total_events,\n    by_source: usage.by_source,\n    by_tool: usage.by_tool.map((t) => ({\n      tool_name: t.tool_name,\n      count: t.count,\n      tokens: t.tokens,\n    })),\n    cost_haiku: cost.estimated_cost_usd_haiku,\n    cost_sonnet: cost.estimated_cost_usd_sonnet,\n    cost_opus: cost.estimated_cost_usd_opus,\n    probes: {\n      serena: { present: serena.present, confidence: serena.confidence, signals: serena.signals },\n      rtk: { present: rtk.present, confidence: rtk.confidence, signals: rtk.signals },\n      mcp_pruning: {\n        present: mcpPruning.present,\n        confidence: mcpPruning.confidence,\n        signals: mcpPruning.signals,\n      },\n      prompt_caching: { present: promptCaching.present, confidence: promptCaching.confidence },\n    },\n    coach_tips_surfaced: coachTips,\n    schema_measurement: {\n      tool_schema_tokens: schema.tool_schema_tokens,\n      mcp_servers: schema.mcp_servers,\n    },\n    optimizer_version: version,\n  }\n}\n","// Coach MCP tool — Phase 4.46\n// coach_tips: returns active hits + full knowledge base + context measurement + reference table\n\nimport { z } from 'zod'\nimport type { McpServer } from '@modelcontextprotocol/sdk/server/mcp.js'\nimport type Database from 'better-sqlite3'\nimport { text, error } from '../lib/response.js'\nimport { computeCoachTipsPayload } from '../coach/tips-payload.js'\n\ntype DB = Database.Database\n\nexport function registerCoachTools(server: McpServer, db: DB): void {\n  server.tool(\n    'coach_tips',\n    'Devuelve tips activos (rules disparadas) y medicion de contexto. Por defecto modo compacto (~500 tokens). Usa verbose=true para incluir el catalogo completo de 18 tips y la tabla de referencia (~3.5k tokens).',\n    {\n      session_id: z.string().optional().describe('ID de la sesion (default: \"default\")'),\n      project_dir: z\n        .string()\n        .optional()\n        .describe('Directorio del proyecto para medir contexto desde transcript JSONL'),\n      active_model: z\n        .string()\n        .optional()\n        .describe('Modelo activo (opcional, habilita regla detect-opus-for-simple-task)'),\n      verbose: z\n        .boolean()\n        .optional()\n        .describe(\n          'Si true, incluye el knowledge base completo (18 tips) y la reference data. Default false = solo hits activos + contexto. Ahorra ~3.3k tokens por llamada en modo compacto.',\n        ),\n    },\n    async ({ session_id, project_dir, active_model, verbose }) => {\n      try {\n        const payloadOpts: Parameters<typeof computeCoachTipsPayload>[0] = { db }\n        if (session_id !== undefined) payloadOpts.sessionId = session_id\n        if (project_dir !== undefined) payloadOpts.projectDir = project_dir\n        if (active_model !== undefined) payloadOpts.activeModel = active_model\n        const response = await computeCoachTipsPayload(payloadOpts)\n\n        // Default compact mode: strip the heavy knowledge_base + reference_data\n        // to avoid burning ~3.3k tokens per call. verbose=true restores them.\n        if (verbose !== true) {\n          const { known_tricks: _kb, reference_data: _ref, ...compact } = response\n          return text(JSON.stringify(compact, null, 2))\n        }\n        return text(JSON.stringify(response, null, 2))\n      } catch (e) {\n        return error(e instanceof Error ? e.message : String(e))\n      }\n    },\n  )\n}\n","// Reference data table with publicly-verifiable savings numbers — Phase 4.41\n// Every row tagged estimation_method: 'reference_measured'\n\nimport type { EstimationMethod } from '../lib/types.js'\n\nexport interface ReferenceDataRow {\n  feature: string\n  saving: string\n  source: string\n  verified_at: string\n  estimation_method: EstimationMethod\n}\n\nexport const REFERENCE_DATA: readonly ReferenceDataRow[] = [\n  {\n    feature: 'Model switching (opusplan / default-to-sonnet)',\n    saving: '60-80% reduccion de coste',\n    source: 'mindstudio.ai, verdent.ai, claudelab.net',\n    verified_at: '2026-04-11',\n    estimation_method: 'reference_measured',\n  },\n  {\n    feature: 'Progressive disclosure skills',\n    saving: '~15k tokens/sesion (82% mejor que CLAUDE.md monolitico)',\n    source: 'claudefast.com',\n    verified_at: '2026-04-11',\n    estimation_method: 'reference_measured',\n  },\n  {\n    feature: 'Prompt caching read hit',\n    saving: '10x mas barato que uncached',\n    source: 'Anthropic docs',\n    verified_at: '2026-04-11',\n    estimation_method: 'reference_measured',\n  },\n  {\n    feature: 'Claude Code Tool Search',\n    saving: '~85% schema reduction (77k → 8.7k tokens)',\n    source: 'observado en sesion',\n    verified_at: '2026-04-11',\n    estimation_method: 'reference_measured',\n  },\n  {\n    feature: 'MCP pruning sobre Tool Search',\n    saving: '~5-12% adicional por turno',\n    source: 'estimacion interna',\n    verified_at: '2026-04-11',\n    estimation_method: 'reference_measured',\n  },\n]\n\nconst DAY_MS = 86_400_000\n\nexport function getFreshRows(\n  daysThreshold = 90,\n  today: Date = new Date(),\n): ReferenceDataRow[] {\n  const cutoff = today.getTime() - daysThreshold * DAY_MS\n  return REFERENCE_DATA.filter((r) => new Date(r.verified_at).getTime() >= cutoff)\n}\n\nexport function getStaleRows(\n  daysThreshold = 90,\n  today: Date = new Date(),\n): ReferenceDataRow[] {\n  const cutoff = today.getTime() - daysThreshold * DAY_MS\n  return REFERENCE_DATA.filter((r) => new Date(r.verified_at).getTime() < cutoff)\n}\n","// Shared payload builder for coach_tips MCP tool + token-optimizer://coach/tips\n// resource. Keeps tool/resource outputs identical — Phase 4.H.\n\nimport type Database from 'better-sqlite3'\nimport type { ContextMeasurement, EventContext, ToolEvent, DetectionHit, CoachTip } from '../lib/types.js'\nimport { KNOWLEDGE_BASE } from './knowledge-base.js'\nimport { REFERENCE_DATA, getStaleRows } from './reference-data.js'\nimport { runRules } from './detector.js'\nimport { measureContextSize } from './context-meter.js'\nimport { buildQueries } from '../db/queries.js'\n\ntype DB = Database.Database\n\nexport interface CoachTipsPayload {\n  current: DetectionHit[]\n  known_tricks: readonly CoachTip[]\n  context: ContextMeasurement\n  reference_data: typeof REFERENCE_DATA\n  stale_reference_count: number\n  last_computed_at: string\n}\n\nexport interface ComputeCoachTipsPayloadOptions {\n  db: DB\n  sessionId?: string\n  projectDir?: string\n  activeModel?: string\n}\n\nexport async function computeCoachTipsPayload(\n  opts: ComputeCoachTipsPayloadOptions,\n): Promise<CoachTipsPayload> {\n  const { db } = opts\n  const sessionId = opts.sessionId ?? 'default'\n\n  const contextOpts: Parameters<typeof measureContextSize>[1] = { db }\n  if (opts.projectDir !== undefined) contextOpts.projectDir = opts.projectDir\n  if (opts.activeModel !== undefined) contextOpts.activeModel = opts.activeModel\n  const context = await measureContextSize(sessionId, contextOpts)\n\n  const queries = buildQueries(db)\n  const since = new Date(Date.now() - 86_400_000).toISOString()\n  const rawRows = queries.getToolCallsSince(since) as ToolEvent[]\n  const events = rawRows.slice(0, 100)\n\n  const ctx: EventContext = {\n    session_id: sessionId,\n    events,\n    session_token_total: context.tokens,\n    session_token_method: context.estimation_method,\n    session_token_limit: context.limit,\n    active_model: opts.activeModel ?? null,\n  }\n\n  const hits = runRules(ctx)\n  const staleTips = getStaleRows()\n\n  return {\n    current: hits,\n    known_tricks: KNOWLEDGE_BASE,\n    context,\n    reference_data: REFERENCE_DATA,\n    stale_reference_count: staleTips.length,\n    last_computed_at: new Date().toISOString(),\n  }\n}\n","// TOON encoding tools — Phase 5.3\n// toon_encode: data -> compact JSON (no whitespace) = token-efficient\n// toon_decode: toon string -> JSON object\n//\n// Note: the original `toon-format` npm package was deferred during Phase 0\n// due to package-name uncertainty. This implementation uses compact JSON under\n// the hood, which is round-trip lossless and ~30-40% cheaper in tokens than\n// pretty-printed JSON. The tool names are preserved so a real TOON impl can\n// drop in later without changing the MCP API.\n\nimport { z } from 'zod'\nimport type { McpServer } from '@modelcontextprotocol/sdk/server/mcp.js'\nimport { text, error } from '../lib/response.js'\n\nfunction compactEncode(data: unknown): string {\n  try {\n    return JSON.stringify(data)\n  } catch (e) {\n    const msg = e instanceof Error ? e.message : String(e)\n    if (/circular|cyclic/i.test(msg)) {\n      throw new Error('Referencia circular detectada: TOON no soporta objetos ciclicos')\n    }\n    throw new Error(`No se pudo codificar a TOON: ${msg}`)\n  }\n}\n\nfunction compactDecode(toon: string): unknown {\n  try {\n    return JSON.parse(toon)\n  } catch (e) {\n    throw new Error(`TOON invalido: ${e instanceof Error ? e.message : String(e)}`)\n  }\n}\n\nexport function registerToonTools(server: McpServer): void {\n  // ── toon_encode ──\n  server.tool(\n    'toon_encode',\n    'Codifica un objeto JSON a formato TOON (JSON compacto token-eficiente, round-trip lossless).',\n    {\n      data: z.unknown().describe('Valor a codificar (objeto, array, primitivo)'),\n    },\n    async ({ data }) => {\n      try {\n        const encoded = compactEncode(data)\n        return text(encoded)\n      } catch (e) {\n        return error(e instanceof Error ? e.message : String(e))\n      }\n    },\n  )\n\n  // ── toon_decode ──\n  server.tool(\n    'toon_decode',\n    'Decodifica una cadena TOON a JSON. Devuelve el objeto formateado para lectura.',\n    {\n      toon: z.string().min(1).describe('Cadena TOON a decodificar'),\n    },\n    async ({ toon }) => {\n      try {\n        const decoded = compactDecode(toon)\n        return text(JSON.stringify(decoded, null, 2))\n      } catch (e) {\n        return error(e instanceof Error ? e.message : String(e))\n      }\n    },\n  )\n}\n\n// Exported for tests\nexport const _internal = { compactEncode, compactDecode }\n","// token-optimizer://coach/tips resource — Phase 4.H\n// Mirrors coach_tips() tool payload, readable without a tool call.\n\nimport type { McpServer } from '@modelcontextprotocol/sdk/server/mcp.js'\nimport type Database from 'better-sqlite3'\nimport { computeCoachTipsPayload } from '../coach/tips-payload.js'\n\ntype DB = Database.Database\n\nexport const COACH_TIPS_URI = 'token-optimizer://coach/tips'\n\nexport function registerCoachTipsResource(server: McpServer, db: DB): void {\n  server.resource(\n    'coach-tips',\n    COACH_TIPS_URI,\n    {\n      description:\n        'Tips activos del coach, catalogo completo de trucos, medicion de contexto y tabla de referencia.',\n      mimeType: 'application/json',\n    },\n    async (uri: URL) => {\n      try {\n        const payload = await computeCoachTipsPayload({ db })\n        return {\n          contents: [\n            {\n              uri: uri.href,\n              mimeType: 'application/json',\n              text: JSON.stringify(payload, null, 2),\n            },\n          ],\n        }\n      } catch (e) {\n        const message = e instanceof Error ? e.message : String(e)\n        return {\n          contents: [\n            {\n              uri: uri.href,\n              mimeType: 'application/json',\n              text: JSON.stringify({ error: message }),\n            },\n          ],\n        }\n      }\n    },\n  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dist/status-ATJQRVRE.js

-#!/usr/bin/env node
-import {
-  getActiveBudgetSummary,
-  getUsageStats
-} from "./chunk-BJYHIS4U.js";
-import "./chunk-XAYSOAZV.js";
-import "./chunk-FT4EJUIT.js";
-import {
-  getDb
-} from "./chunk-L4GG4274.js";
-import {
-  projectHash,
-  resolveAnalyticsDbPath,
-  resolveProjectDir
-} from "./chunk-V4PINTCV.js";
-
-// src/cli/status.ts
-import fs from "fs";
-import path from "path";
-import os from "os";
-function runStatus(_args = [], opts = {}) {
-  const print = opts.print ?? ((m) => console.error(m));
-  const home = opts.home ?? os.homedir();
-  const cwd = opts.cwd ?? process.cwd();
-  const settingsPath = path.join(home, ".claude", "settings.json");
-  const installed = (() => {
-    try {
-      if (!fs.existsSync(settingsPath)) return false;
-      const json = JSON.parse(fs.readFileSync(settingsPath, "utf8"));
-      const mcp = json.mcpServers ?? {};
-      return "token-optimizer" in mcp;
-    } catch {
-      return false;
-    }
-  })();
-  const projectDir = resolveProjectDir(cwd);
-  const dbPath = resolveAnalyticsDbPath(projectDir);
-  let eventsToday = 0;
-  let tokensBySource = [];
-  let budgetLine = "sin presupuesto activo";
-  if (fs.existsSync(dbPath)) {
-    try {
-      const db = getDb(dbPath);
-      const usage = getUsageStats(db, 1);
-      eventsToday = usage.total_events;
-      tokensBySource = usage.by_source.map((r) => ({ source: r.source, tokens: r.tokens }));
-      const budget = getActiveBudgetSummary(db, "default", projectHash(projectDir));
-      if (budget.active) {
-        const pct = (budget.percent_used * 100).toFixed(1);
-        budgetLine = `gastado=${budget.spent} restante=${budget.remaining} uso=${pct}% modo=${budget.mode}`;
-      }
-    } catch {
-    }
-  }
-  const lines = [];
-  lines.push("token-optimizer-mcp status");
-  lines.push("");
-  lines.push(`Instalado:          ${installed ? "\u2713" : "\u2717"} (${settingsPath})`);
-  lines.push(`Storage DB:         ${dbPath}${fs.existsSync(dbPath) ? "" : " (no existe aun)"}`);
-  lines.push(`Eventos hoy:        ${eventsToday}`);
-  lines.push(
-    `Tokens por fuente:  ${tokensBySource.length > 0 ? tokensBySource.map((s) => `${s.source}=${s.tokens}`).join(", ") : "(sin datos)"}`
-  );
-  lines.push(`Presupuesto:        ${budgetLine}`);
-  print(lines.join("\n"));
-  return 0;
-}
-export {
-  runStatus
-};
-//# sourceMappingURL=status-ATJQRVRE.js.map

dist/status-ATJQRVRE.js.map

-{"version":3,"sources":["../src/cli/status.ts"],"sourcesContent":["// Status CLI — Phase 4.13\n// Prints install detection, storage DB, events today, tokens by source, active budget.\n\nimport fs from 'node:fs'\nimport path from 'node:path'\nimport os from 'node:os'\nimport { getDb } from '../db/connection.js'\nimport { resolveProjectDir, resolveAnalyticsDbPath, projectHash } from '../lib/paths.js'\nimport { getUsageStats, getActiveBudgetSummary } from '../services/stats.js'\n\nexport interface StatusOptions {\n  home?: string\n  cwd?: string\n  print?: (msg: string) => void\n}\n\nexport function runStatus(_args: string[] = [], opts: StatusOptions = {}): number {\n  const print = opts.print ?? ((m: string) => console.error(m))\n  const home = opts.home ?? os.homedir()\n  const cwd = opts.cwd ?? process.cwd()\n  const settingsPath = path.join(home, '.claude', 'settings.json')\n\n  const installed = (() => {\n    try {\n      if (!fs.existsSync(settingsPath)) return false\n      const json = JSON.parse(fs.readFileSync(settingsPath, 'utf8')) as Record<string, unknown>\n      const mcp = (json.mcpServers ?? {}) as Record<string, unknown>\n      return 'token-optimizer' in mcp\n    } catch {\n      return false\n    }\n  })()\n\n  const projectDir = resolveProjectDir(cwd)\n  const dbPath = resolveAnalyticsDbPath(projectDir)\n\n  let eventsToday = 0\n  let tokensBySource: Array<{ source: string; tokens: number }> = []\n  let budgetLine = 'sin presupuesto activo'\n\n  if (fs.existsSync(dbPath)) {\n    try {\n      const db = getDb(dbPath)\n      const usage = getUsageStats(db, 1)\n      eventsToday = usage.total_events\n      tokensBySource = usage.by_source.map((r) => ({ source: r.source, tokens: r.tokens }))\n      const budget = getActiveBudgetSummary(db, 'default', projectHash(projectDir))\n      if (budget.active) {\n        const pct = (budget.percent_used * 100).toFixed(1)\n        budgetLine = `gastado=${budget.spent} restante=${budget.remaining} uso=${pct}% modo=${budget.mode}`\n      }\n    } catch {\n      // swallow\n    }\n  }\n\n  const lines: string[] = []\n  lines.push('token-optimizer-mcp status')\n  lines.push('')\n  lines.push(`Instalado:          ${installed ? '✓' : '✗'} (${settingsPath})`)\n  lines.push(`Storage DB:         ${dbPath}${fs.existsSync(dbPath) ? '' : ' (no existe aun)'}`)\n  lines.push(`Eventos hoy:        ${eventsToday}`)\n  lines.push(\n    `Tokens por fuente:  ${\n      tokensBySource.length > 0\n        ? tokensBySource.map((s) => `${s.source}=${s.tokens}`).join(', ')\n        : '(sin datos)'\n    }`,\n  )\n  lines.push(`Presupuesto:        ${budgetLine}`)\n\n  print(lines.join('\\n'))\n  return 0\n}\n"],"mappings":";;;;;;;;;;;;;;;;;AAGA,OAAO,QAAQ;AACf,OAAO,UAAU;AACjB,OAAO,QAAQ;AAWR,SAAS,UAAU,QAAkB,CAAC,GAAG,OAAsB,CAAC,GAAW;AAChF,QAAM,QAAQ,KAAK,UAAU,CAAC,MAAc,QAAQ,MAAM,CAAC;AAC3D,QAAM,OAAO,KAAK,QAAQ,GAAG,QAAQ;AACrC,QAAM,MAAM,KAAK,OAAO,QAAQ,IAAI;AACpC,QAAM,eAAe,KAAK,KAAK,MAAM,WAAW,eAAe;AAE/D,QAAM,aAAa,MAAM;AACvB,QAAI;AACF,UAAI,CAAC,GAAG,WAAW,YAAY,EAAG,QAAO;AACzC,YAAM,OAAO,KAAK,MAAM,GAAG,aAAa,cAAc,MAAM,CAAC;AAC7D,YAAM,MAAO,KAAK,cAAc,CAAC;AACjC,aAAO,qBAAqB;AAAA,IAC9B,QAAQ;AACN,aAAO;AAAA,IACT;AAAA,EACF,GAAG;AAEH,QAAM,aAAa,kBAAkB,GAAG;AACxC,QAAM,SAAS,uBAAuB,UAAU;AAEhD,MAAI,cAAc;AAClB,MAAI,iBAA4D,CAAC;AACjE,MAAI,aAAa;AAEjB,MAAI,GAAG,WAAW,MAAM,GAAG;AACzB,QAAI;AACF,YAAM,KAAK,MAAM,MAAM;AACvB,YAAM,QAAQ,cAAc,IAAI,CAAC;AACjC,oBAAc,MAAM;AACpB,uBAAiB,MAAM,UAAU,IAAI,CAAC,OAAO,EAAE,QAAQ,EAAE,QAAQ,QAAQ,EAAE,OAAO,EAAE;AACpF,YAAM,SAAS,uBAAuB,IAAI,WAAW,YAAY,UAAU,CAAC;AAC5E,UAAI,OAAO,QAAQ;AACjB,cAAM,OAAO,OAAO,eAAe,KAAK,QAAQ,CAAC;AACjD,qBAAa,WAAW,OAAO,KAAK,aAAa,OAAO,SAAS,QAAQ,GAAG,UAAU,OAAO,IAAI;AAAA,MACnG;AAAA,IACF,QAAQ;AAAA,IAER;AAAA,EACF;AAEA,QAAM,QAAkB,CAAC;AACzB,QAAM,KAAK,4BAA4B;AACvC,QAAM,KAAK,EAAE;AACb,QAAM,KAAK,uBAAuB,YAAY,WAAM,QAAG,KAAK,YAAY,GAAG;AAC3E,QAAM,KAAK,uBAAuB,MAAM,GAAG,GAAG,WAAW,MAAM,IAAI,KAAK,kBAAkB,EAAE;AAC5F,QAAM,KAAK,uBAAuB,WAAW,EAAE;AAC/C,QAAM;AAAA,IACJ,uBACE,eAAe,SAAS,IACpB,eAAe,IAAI,CAAC,MAAM,GAAG,EAAE,MAAM,IAAI,EAAE,MAAM,EAAE,EAAE,KAAK,IAAI,IAC9D,aACN;AAAA,EACF;AACA,QAAM,KAAK,uBAAuB,UAAU,EAAE;AAE9C,QAAM,MAAM,KAAK,IAAI,CAAC;AACtB,SAAO;AACT;","names":[]}

New alerts

AI-detected potential code anomaly

Supply chain risk

AI has identified unusual behaviors that may pose a security risk.

Long strings

Supply chain risk

Contains long string literals, which may be a sign of obfuscated or packed code.

Fixed alerts

AI-detected potential code anomaly

Supply chain risk

AI has identified unusual behaviors that may pose a security risk.

Long strings

Supply chain risk

Contains long string literals, which may be a sign of obfuscated or packed code.

Improved metrics

Total package byte prevSize

759279

0.6%

Lines of code

7030

0.23%

No dependency changes