Closes the awareness → LLM → action loop that the rc.1/2/3 sequence
left as a followup. When the bot is wedged, looping, or just suffered
a preempt-then-retry, the reflex fires advise() in the background;
when the recommendation lands it overrides the next dispatch.
Async by design: advise() takes 5-15s on TimeWeb's hosted endpoint —
too slow for a synchronous reflex tick. tickAdvisor() is fire-and-
forget, the result lands on ctx.advisorRecommendation, and the *next*
tick reads and consumes it. Recommendations age out after 60s.
Components:
- runtime/coach/advisor-trigger.js — policy + async fire path
- tickAdvisor(ctx, {plannedSkillId}) checks three triggers:
1. wedged > 60s (no significant move)
2. last 4+ dispatches are the same skill AND it's planned again
3. preempt within last 30s + same skill being retried
- 90s trigger cooldown, single-in-flight guard
- consumeFreshRecommendation(ctx) reads/clears the cache
- runtime/reflex.js — curriculumReflex calls tickAdvisor() every tick
and consumes a fresh recommendation BEFORE dispatching. ctx flag
disableAdvisor=true for tests.
- runtime/bot.js — dispatchAction maintains a rolling 8-slot
reflexCtx.recentSkillIds for the loop-detection trigger.
Token usage:
- runtime/llm/provider.js — normaliseUsage() reads OpenAI/TimeWeb-
style {prompt_tokens, completion_tokens, total_tokens} from the
response. Returned on every complete() result and logged at info
level as "in=Nt/out=Mt".
- runtime/coach/fast-advisor.js — getUsageSnapshot() aggregates
total tokens across all calls in the session.
Measured on live TimeWeb endpoint (gpt-5.4-mini agent):
per call: ~705 input + 45 output = ~750 tokens
rate limit: 6 calls/hour
worst case at full budget: ~108K tokens/day
estimated cost (OpenAI gpt-5-mini reference price): ~$0.60/month
Well within any reasonable budget — model can run hot 24/7.
Smoke verified: scripts/check-timeweb.js probe 4 produces
trigger fired: true (wedged_90s)
recommendation: recovery.tunnel-out
rationale: "Stuck wedged for 90s; exploration is failing."
latency: 5302ms
Tests: 345 green (was 332, +13 advisor-trigger).
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
165 lines
5.8 KiB
JavaScript
165 lines
5.8 KiB
JavaScript
// Auto-trigger policy for the fast tactical advisor.
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//
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// The advisor is too slow for synchronous use inside a reflex tick
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// (5-15s via TimeWeb's hosted agent endpoint). The strategy here is
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// asynchronous: when conditions warrant tactical advice, fire-and-forget
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// an advise() call; when the result eventually arrives, cache it on
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// ctx.advisorRecommendation. The next reflex tick reads that cache and
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// can substitute the recommended skill before dispatching.
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//
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// Triggers (any one, AND-ed with the not-recently-asked cooldown):
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//
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// 1. Wedged > 60s — bot's position hasn't shifted ≥16 blocks in over
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// a minute (already tracked by reflex.js as lastSignificantMoveAt)
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// 2. Last 4+ dispatches were the same skill — clear loop signal
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// 3. Last awareness preempt was very recent AND followed by same
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// skill being dispatched again — env-shock-blind retry
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//
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// The recommendation has a TTL (60s). After that it's stale and the
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// reflex falls back to manifesto / curriculum. This keeps the system
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// reactive — advice ages out, fresh data drives fresh advice.
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import { advise, isAvailable as advisorAvailable } from "./fast-advisor.js";
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import { isRegistered } from "../skill-registry.js";
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import { info, warn } from "../log.js";
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const TRIGGER_COOLDOWN_MS = 90_000;
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const RECOMMENDATION_TTL_MS = 60_000;
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const WEDGED_THRESHOLD_MS = 60_000;
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const REPEAT_THRESHOLD = 4;
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const PREEMPT_WINDOW_MS = 30_000;
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let _lastTriggerAt = 0;
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let _inFlight = false;
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export function _resetForTest() {
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_lastTriggerAt = 0;
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_inFlight = false;
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}
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export function getTriggerState() {
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return {
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lastTriggerAt: _lastTriggerAt,
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inFlight: _inFlight,
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};
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}
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/**
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* tickAdvisor(ctx) → maybe-fires advise() in background.
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*
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* Called from reflex AFTER it has chosen a plannedSkillId but BEFORE
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* dispatching. Does NOT block — the in-flight call resolves later and
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* writes ctx.advisorRecommendation. The caller decides whether to
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* consume a fresh recommendation on this tick or wait for the next.
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*/
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export function tickAdvisor(ctx, { plannedSkillId } = {}) {
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if (!advisorAvailable()) return { fired: false, reason: "disabled" };
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if (_inFlight) return { fired: false, reason: "in_flight" };
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const now = Date.now();
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if (now - _lastTriggerAt < TRIGGER_COOLDOWN_MS) {
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return { fired: false, reason: "cooldown" };
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}
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// Drop a recommendation that's already aged out.
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if (ctx.advisorRecommendation && now - ctx.advisorRecommendation.at > RECOMMENDATION_TTL_MS) {
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ctx.advisorRecommendation = null;
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}
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const reason = detectTrigger(ctx, now, plannedSkillId);
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if (!reason) return { fired: false, reason: "no_trigger" };
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_lastTriggerAt = now;
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_inFlight = true;
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const snapshot = ctx.snapshot ?? null;
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const recentSkillIds = (ctx.recentSkillIds ?? []).slice(-8);
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info("advisor-trigger", `firing because ${reason} (planned=${plannedSkillId ?? "?"})`);
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// Fire-and-forget. The promise's resolution writes ctx.advisorRecommendation.
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advise({ snapshot, reason, recentSkillIds, lessonsTail: ctx.recentLessons ?? [], force: true })
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.then((result) => {
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_inFlight = false;
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if (result.ok && result.action === "switch_skill" && isRegistered(result.skillId)) {
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ctx.advisorRecommendation = {
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at: Date.now(),
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skillId: result.skillId,
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action: "switch_skill",
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rationale: result.rationale,
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triggerReason: reason,
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latencyMs: result.latencyMs,
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usage: result.usage ?? null,
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};
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info("advisor-trigger", `recommendation cached: ${result.skillId} (${result.latencyMs}ms, in=${result.usage?.in ?? "?"}t/out=${result.usage?.out ?? "?"}t)`);
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} else if (result.ok && (result.action === "wait" || result.action === "continue")) {
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ctx.advisorRecommendation = {
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at: Date.now(),
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action: result.action,
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rationale: result.rationale,
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triggerReason: reason,
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latencyMs: result.latencyMs,
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usage: result.usage ?? null,
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};
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info("advisor-trigger", `recommendation: ${result.action} (${result.latencyMs}ms)`);
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} else if (!result.ok) {
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warn("advisor-trigger", `advise failed: ${result.code} (${result.detail})`);
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}
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})
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.catch((e) => {
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_inFlight = false;
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warn("advisor-trigger", `advise threw: ${e?.message ?? e}`);
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});
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return { fired: true, reason };
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}
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function detectTrigger(ctx, now, plannedSkillId) {
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// 1. Wedged > threshold
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if (ctx.lastSignificantMoveAt && (now - ctx.lastSignificantMoveAt) > WEDGED_THRESHOLD_MS) {
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return `wedged_${Math.round((now - ctx.lastSignificantMoveAt) / 1000)}s`;
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}
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// 2. Repeat-skill loop
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const recent = ctx.recentSkillIds ?? [];
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if (recent.length >= REPEAT_THRESHOLD) {
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const tail = recent.slice(-REPEAT_THRESHOLD);
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const allSame = tail.every((id) => id === tail[0]);
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if (allSame && plannedSkillId === tail[0]) {
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return `repeat_${REPEAT_THRESHOLD}_${tail[0]}`;
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}
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}
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// 3. Recent preempt followed by same skill again
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if (ctx.lastPreempt && now - ctx.lastPreempt.at < PREEMPT_WINDOW_MS) {
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const lastDispatched = recent[recent.length - 1];
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if (lastDispatched && lastDispatched === plannedSkillId) {
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return `preempt_retry_${ctx.lastPreempt.reason}`;
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}
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}
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return null;
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}
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/**
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* consumeFreshRecommendation(ctx) → { skillId, action, rationale } | null
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*
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* Returns a recommendation if one is currently cached and fresh, and
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* clears it so subsequent ticks don't re-apply the same advice.
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*/
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export function consumeFreshRecommendation(ctx) {
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const rec = ctx.advisorRecommendation;
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if (!rec) return null;
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if (Date.now() - rec.at > RECOMMENDATION_TTL_MS) {
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ctx.advisorRecommendation = null;
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return null;
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}
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if (rec.action !== "switch_skill" || !rec.skillId) {
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// 'continue' / 'wait' don't replace dispatch; surface for telemetry only
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return null;
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}
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ctx.advisorRecommendation = null;
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return rec;
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}
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// Test exports
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export const __testing = {
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TRIGGER_COOLDOWN_MS, RECOMMENDATION_TTL_MS, WEDGED_THRESHOLD_MS,
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REPEAT_THRESHOLD, PREEMPT_WINDOW_MS, detectTrigger,
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};
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