This is the rc.4 batch the user requested:
1. Emergency triggers (low HP + close hostile, lava-under-foot)
bypass the long cooldown so the LLM is consulted BEFORE the bot
dies, not after.
2. Active manifesto need is now included in the advisor user prompt
— the LLM picks suggestions that satisfy the bot's current
concrete need (L2 tools_wood → "gather logs nearby" not
"explore further").
3. Every advisor recommendation is persisted to SQLite
(advisor_recommendations table) with full token usage. The
reflex marks 'applied=1' when it dispatches and updates
outcome_ok/code when the dispatch completes. Ground truth for
"is the LLM actually helping" lives in the DB, not in logs.
4. Pi CLI is OUT of every background loop. coach/postmortem and
coach/reflect now go through the same TimeWeb endpoint
fast-advisor uses, via the shared coach/llm-call.js helper.
Pi is reserved for manual operator commands.
5. The LLM (postmortem, reflect, advisor) can flag "structural
gaps" — missing skills/features the operator should implement.
These land in the new improvement_requests table. Dedup by
title bumps `votes` instead of inserting duplicates so the
queue doesn't bloat. Operator views via
`node scripts/list-improvements.js`.
6. A deterministic trigger-tuner runs hourly: reads 24h of
recommendation stats, flags triggers whose success rate is
below 25% (sample ≥ 5) or whose prompts are expensive (>1000
input tokens) with mediocre payoff. Improvements get
source="tuner", category="tuning". No LLM call.
New files:
runtime/coach/llm-call.js — askAnalytical() helper
runtime/coach/trigger-tuner.js — stats → improvements
runtime/coach/trigger-tuner.test.js
scripts/list-improvements.js — operator CLI
Schema additions:
advisor_recommendations: id, ts, trigger_reason, planned_skill,
recommended_skill, action, rationale, active_need, tokens_in,
tokens_out, latency_ms, applied, outcome_ok, outcome_code, outcome_at
improvement_requests: id, ts, source, category, title, description,
context, priority, status, duplicate_of, votes, implemented_at, notes
Renamed env-var consumers:
Pi-coach drainOnce({ askPi }) → drainOnce({ askAnalyticalFn? })
Pi-reflect runOnce({ askPi }) → runOnce({ askAnalyticalFn? })
bot.js attachCoach/attachReflect no longer pass askPi
attachTuner() added to bot.js spawn handler
lessons.source 'pi-coach' → 'timeweb-coach'
lessons.source 'pi-reflect' → 'timeweb-reflect'
Token cost measured live:
~705 input + 45 output = ~750 total per advisor call
worst case @ 6 calls/hour rate cap = ~108K tokens/day
OpenAI gpt-5-mini reference price: ~$0.60/month
Operator usage:
node scripts/list-improvements.js # open queue
node scripts/list-improvements.js --stats # advisor performance
node scripts/list-improvements.js --done 17 "shipped in 0.3.1"
node scripts/list-improvements.js --reject 18 "duplicate"
Tests: 360 green (was 332, +28 new).
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
419 lines
13 KiB
JavaScript
419 lines
13 KiB
JavaScript
// Public surface of the knowledge subsystem. Other runtime modules should
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// import from here, not from store/seed/lessons directly.
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//
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// Wire-up:
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// await initKnowledge({ stateDir })
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// - opens the SQLite DB at state/<host>/knowledge.db
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// - applies schema
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// - seeds starter recipes/mobs/blocks/lessons (idempotent)
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// isAvailable() — true once init succeeded
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//
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// All other helpers degrade gracefully when the store is unavailable
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// (e.g. fresh checkout without `npm install`).
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export { isAvailable, disabledReason, getStore, closeStore, runMaintenance } from "./store.js";
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export { recall, record, markApplied, topAdvice } from "./lessons.js";
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import { ensureStore, isAvailable as _isAvailable } from "./store.js";
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import { seed } from "./seed.js";
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import { warn, info } from "../log.js";
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let _initialised = false;
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export async function initKnowledge({ stateDir } = {}) {
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if (_initialised) return _isAvailable();
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_initialised = true;
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const db = await ensureStore({ stateDir });
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if (!db) {
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warn("knowledge", "init: store not available; knowledge layer will be a no-op");
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return false;
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}
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const seedResult = seed();
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if (!seedResult.ok) {
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warn("knowledge", `init: seed step failed (${seedResult.reason})`);
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}
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return true;
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}
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// Death/postmortem helpers — separate file would be overkill; they share
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// the store and are only called from coach/postmortem.js.
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import { getStore as _getStore } from "./store.js";
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export function insertDeath({ ts, x, y, z, cause, hostile, lastSkill, lastSkillCode,
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hp, food, inventoryLost, contextBlob } = {}) {
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if (!_isAvailable()) return null;
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try {
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const stmt = _getStore().prepare(`
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INSERT INTO deaths (ts, x, y, z, cause, hostile, last_skill, last_skill_code,
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hp_at_death, food_at_death, inventory_lost, context_blob, analysed)
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VALUES (@ts, @x, @y, @z, @cause, @hostile, @lastSkill, @lastSkillCode,
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@hp, @food, @inventoryLost, @contextBlob, 0)
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`);
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const res = stmt.run({
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ts: ts ?? Date.now(),
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x: x ?? null, y: y ?? null, z: z ?? null,
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cause: cause ?? "unknown",
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hostile: hostile ?? null,
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lastSkill: lastSkill ?? null,
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lastSkillCode: lastSkillCode ?? null,
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hp: hp ?? null,
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food: food ?? null,
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inventoryLost: inventoryLost ? JSON.stringify(inventoryLost) : null,
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contextBlob: contextBlob ? JSON.stringify(contextBlob) : null,
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});
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return res.lastInsertRowid;
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} catch (e) {
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warn("knowledge", `insertDeath failed: ${e?.message ?? e}`);
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return null;
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}
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}
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export function unanalysedDeaths({ limit = 5 } = {}) {
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if (!_isAvailable()) return [];
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try {
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return _getStore().prepare(`
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SELECT * FROM deaths WHERE analysed = 0 ORDER BY ts ASC LIMIT @limit
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`).all({ limit });
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} catch (e) {
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warn("knowledge", `unanalysedDeaths failed: ${e?.message ?? e}`);
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return [];
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}
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}
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export function markDeathAnalysed(deathId) {
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if (!_isAvailable()) return;
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try {
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_getStore().prepare("UPDATE deaths SET analysed = 1 WHERE id = ?").run(deathId);
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} catch (e) {
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warn("knowledge", `markDeathAnalysed failed: ${e?.message ?? e}`);
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}
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}
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export function insertPostmortem({ deathId, cause, lesson, nextAction, rawResponse, source = "pi" } = {}) {
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if (!_isAvailable() || !deathId) return null;
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try {
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const res = _getStore().prepare(`
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INSERT INTO postmortems (death_id, ts, cause, lesson, next_action, raw_response, source)
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VALUES (@deathId, @ts, @cause, @lesson, @nextAction, @rawResponse, @source)
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`).run({
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deathId,
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ts: Date.now(),
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cause: cause ?? null,
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lesson: lesson ?? null,
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nextAction: nextAction ?? null,
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rawResponse: rawResponse ?? null,
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source,
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});
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return res.lastInsertRowid;
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} catch (e) {
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warn("knowledge", `insertPostmortem failed: ${e?.message ?? e}`);
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return null;
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}
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}
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// Recipe / mob / block lookups
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export function lookupRecipe(name) {
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if (!_isAvailable()) return null;
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try {
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const row = _getStore().prepare(`SELECT * FROM recipes WHERE name = ?`).get(name);
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if (!row) return null;
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return { ...row, shape: safeParse(row.shape) };
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} catch (e) {
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warn("knowledge", `lookupRecipe failed: ${e?.message ?? e}`);
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return null;
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}
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}
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export function lookupMob(name) {
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if (!_isAvailable() || !name) return null;
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try {
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const row = _getStore().prepare(`SELECT * FROM mob_intel WHERE name = ?`).get(name);
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if (!row) return null;
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return { ...row, drops: safeParse(row.drops) };
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} catch (e) {
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warn("knowledge", `lookupMob failed: ${e?.message ?? e}`);
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return null;
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}
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}
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export function lookupBlock(name) {
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if (!_isAvailable() || !name) return null;
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try {
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const row = _getStore().prepare(`SELECT * FROM block_intel WHERE name = ?`).get(name);
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if (!row) return null;
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return { ...row, drops: safeParse(row.drops) };
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} catch (e) {
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warn("knowledge", `lookupBlock failed: ${e?.message ?? e}`);
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return null;
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}
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}
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// POI helpers — spatially-keyed long-term memory.
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const CELL = 16;
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export function recordPOI({ kind, name, x, y, z, expiresAt, notes } = {}) {
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if (!_isAvailable() || typeof x !== "number" || typeof z !== "number") return null;
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try {
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const stmt = _getStore().prepare(`
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INSERT INTO poi (kind, name, x, y, z, cell_x, cell_z, ts, expires_at, notes)
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VALUES (@kind, @name, @x, @y, @z, @cellX, @cellZ, @ts, @expiresAt, @notes)
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`);
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const cellX = Math.floor(x / CELL);
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const cellZ = Math.floor(z / CELL);
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const res = stmt.run({
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kind, name: name ?? null,
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x, y: y ?? 0, z,
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cellX, cellZ,
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ts: Date.now(),
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expiresAt: expiresAt ?? null,
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notes: notes ?? null,
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});
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return res.lastInsertRowid;
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} catch (e) {
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warn("knowledge", `recordPOI failed: ${e?.message ?? e}`);
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return null;
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}
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}
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export function poiNearby({ x, z, kind, radius = 64, limit = 8 } = {}) {
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if (!_isAvailable() || typeof x !== "number" || typeof z !== "number") return [];
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try {
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const cellX = Math.floor(x / CELL);
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const cellZ = Math.floor(z / CELL);
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const cellRadius = Math.ceil(radius / CELL);
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const sql = `
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SELECT *, ((x - @x) * (x - @x) + (z - @z) * (z - @z)) AS dist2
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FROM poi
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WHERE cell_x BETWEEN @cxLo AND @cxHi
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AND cell_z BETWEEN @czLo AND @czHi
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${kind ? "AND kind = @kind" : ""}
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AND (expires_at IS NULL OR expires_at > @now)
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ORDER BY dist2 ASC
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LIMIT @limit
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`;
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return _getStore().prepare(sql).all({
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x, z,
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cxLo: cellX - cellRadius, cxHi: cellX + cellRadius,
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czLo: cellZ - cellRadius, czHi: cellZ + cellRadius,
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kind: kind ?? null,
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now: Date.now(),
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limit,
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}).filter((r) => r.dist2 <= radius * radius);
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} catch (e) {
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warn("knowledge", `poiNearby failed: ${e?.message ?? e}`);
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return [];
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}
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}
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// Chat log
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export function logChat({ direction, speaker, text, intent, repliedWith } = {}) {
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if (!_isAvailable() || !text) return null;
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try {
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const res = _getStore().prepare(`
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INSERT INTO chat_log (ts, direction, speaker, text, intent, replied_with)
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VALUES (@ts, @direction, @speaker, @text, @intent, @repliedWith)
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`).run({
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ts: Date.now(),
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direction: direction ?? "in",
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speaker: speaker ?? null,
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text,
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intent: intent ?? null,
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repliedWith: repliedWith ?? null,
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});
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return res.lastInsertRowid;
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} catch (e) {
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warn("knowledge", `logChat failed: ${e?.message ?? e}`);
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return null;
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}
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}
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// ---- v0.3.0 advisor recommendations ----------------------------------------
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//
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// Every fast-advisor call that produced a usable answer is logged here.
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// Rows are mutated post-hoc when reflex applies and when the dispatch
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// finishes — this is the ground truth for "is the LLM advice actually
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// helping" and the input to trigger-tuner.js.
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export function insertRecommendation({
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triggerReason, plannedSkill, recommendedSkill, action, rationale,
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activeNeed, tokensIn, tokensOut, latencyMs,
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} = {}) {
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if (!_isAvailable()) return null;
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try {
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const res = _getStore().prepare(`
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INSERT INTO advisor_recommendations
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(ts, trigger_reason, planned_skill, recommended_skill, action, rationale,
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active_need, tokens_in, tokens_out, latency_ms, applied)
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VALUES
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(@ts, @triggerReason, @plannedSkill, @recommendedSkill, @action, @rationale,
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@activeNeed, @tokensIn, @tokensOut, @latencyMs, 0)
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`).run({
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ts: Date.now(),
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triggerReason,
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plannedSkill: plannedSkill ?? null,
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recommendedSkill: recommendedSkill ?? null,
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action,
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rationale: rationale ?? null,
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activeNeed: activeNeed ?? null,
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tokensIn: tokensIn ?? null,
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tokensOut: tokensOut ?? null,
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latencyMs: latencyMs ?? null,
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});
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return res.lastInsertRowid;
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} catch (e) {
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warn("knowledge", `insertRecommendation failed: ${e?.message ?? e}`);
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return null;
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}
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}
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export function markRecommendationApplied(id) {
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if (!_isAvailable() || !id) return;
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try {
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_getStore().prepare(`UPDATE advisor_recommendations SET applied = 1 WHERE id = ?`).run(id);
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} catch (e) {
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warn("knowledge", `markRecommendationApplied failed: ${e?.message ?? e}`);
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}
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}
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export function markRecommendationOutcome(id, { ok, code } = {}) {
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if (!_isAvailable() || !id) return;
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try {
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_getStore().prepare(`
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UPDATE advisor_recommendations
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SET outcome_ok = @ok, outcome_code = @code, outcome_at = @at
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WHERE id = @id
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`).run({ id, ok: ok ? 1 : 0, code: code ?? null, at: Date.now() });
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} catch (e) {
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warn("knowledge", `markRecommendationOutcome failed: ${e?.message ?? e}`);
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}
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}
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export function recommendationStats({ sinceHours = 24 } = {}) {
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if (!_isAvailable()) return [];
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try {
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const since = Date.now() - sinceHours * 3600_000;
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return _getStore().prepare(`
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SELECT trigger_reason,
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COUNT(*) AS total,
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SUM(applied) AS applied,
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SUM(CASE WHEN outcome_ok = 1 THEN 1 ELSE 0 END) AS succeeded,
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SUM(CASE WHEN outcome_ok = 0 THEN 1 ELSE 0 END) AS failed,
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AVG(tokens_in) AS avg_in,
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AVG(tokens_out) AS avg_out,
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AVG(latency_ms) AS avg_latency_ms
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FROM advisor_recommendations
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WHERE ts >= @since
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GROUP BY trigger_reason
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ORDER BY total DESC
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`).all({ since });
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} catch (e) {
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warn("knowledge", `recommendationStats failed: ${e?.message ?? e}`);
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return [];
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}
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}
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export function recentRecommendations({ limit = 20 } = {}) {
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if (!_isAvailable()) return [];
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try {
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return _getStore().prepare(`
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SELECT * FROM advisor_recommendations ORDER BY ts DESC LIMIT @limit
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`).all({ limit });
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} catch (e) {
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warn("knowledge", `recentRecommendations failed: ${e?.message ?? e}`);
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return [];
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}
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}
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// ---- v0.3.0 improvement requests -------------------------------------------
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//
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// The LLM (postmortem / reflect / advisor) writes here when it sees the bot
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// lack a needed skill or feature. Operator-readable via scripts/list-improvements.js.
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export function createImprovementRequest({
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source, category, title, description, context, priority = 3,
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} = {}) {
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if (!_isAvailable() || !title) return null;
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try {
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// Dedup: if an open request with same title (case-insensitive) exists,
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// bump its votes instead of inserting a new row.
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const dup = _getStore().prepare(`
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SELECT id, votes FROM improvement_requests
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WHERE LOWER(title) = LOWER(?) AND status = 'open'
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ORDER BY ts DESC LIMIT 1
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`).get(title);
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if (dup) {
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_getStore().prepare(`UPDATE improvement_requests SET votes = votes + 1 WHERE id = ?`).run(dup.id);
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return dup.id;
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}
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const res = _getStore().prepare(`
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INSERT INTO improvement_requests
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(ts, source, category, title, description, context, priority, status, votes)
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VALUES
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(@ts, @source, @category, @title, @description, @context, @priority, 'open', 1)
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`).run({
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ts: Date.now(),
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source: source ?? "manual",
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category: category ?? "other",
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title,
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description: description ?? null,
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context: context ? JSON.stringify(context) : null,
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priority: clamp(priority, 1, 5),
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});
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return res.lastInsertRowid;
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} catch (e) {
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warn("knowledge", `createImprovementRequest failed: ${e?.message ?? e}`);
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return null;
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}
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}
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export function listImprovements({ status, source, category, limit = 50 } = {}) {
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if (!_isAvailable()) return [];
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try {
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const where = [];
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const params = { limit };
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if (status) { where.push("status = @status"); params.status = status; }
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if (source) { where.push("source = @source"); params.source = source; }
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if (category) { where.push("category = @category"); params.category = category; }
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const sql = `
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SELECT * FROM improvement_requests
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${where.length ? "WHERE " + where.join(" AND ") : ""}
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ORDER BY (status = 'open') DESC, priority ASC, votes DESC, ts DESC
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LIMIT @limit
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`;
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return _getStore().prepare(sql).all(params).map((r) => ({
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...r,
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context: safeParse(r.context),
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}));
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} catch (e) {
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warn("knowledge", `listImprovements failed: ${e?.message ?? e}`);
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return [];
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}
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}
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export function markImprovementStatus(id, { status, notes } = {}) {
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if (!_isAvailable() || !id) return;
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const validStatuses = ["open", "in_progress", "implemented", "rejected", "duplicate"];
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if (!validStatuses.includes(status)) {
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warn("knowledge", `markImprovementStatus: invalid status "${status}"`);
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return;
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}
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try {
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const fields = ["status = @status", "notes = @notes"];
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const params = { id, status, notes: notes ?? null };
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if (status === "implemented") {
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fields.push("implemented_at = @implementedAt");
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params.implementedAt = Date.now();
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}
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_getStore().prepare(`UPDATE improvement_requests SET ${fields.join(", ")} WHERE id = @id`).run(params);
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} catch (e) {
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warn("knowledge", `markImprovementStatus failed: ${e?.message ?? e}`);
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}
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}
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function clamp(n, lo, hi) { return Math.max(lo, Math.min(hi, Number(n) || lo)); }
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function safeParse(s) {
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|
if (!s) return null;
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|
try { return JSON.parse(s); } catch { return null; }
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|
}
|