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>
217 lines
6.3 KiB
JavaScript
217 lines
6.3 KiB
JavaScript
import { test } from "node:test";
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import assert from "node:assert/strict";
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import {
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tickAdvisor,
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consumeFreshRecommendation,
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getTriggerState,
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_resetForTest,
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__testing,
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} from "./advisor-trigger.js";
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import { _resetForTest as resetAdvisor } from "./fast-advisor.js";
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const { detectTrigger, WEDGED_THRESHOLD_MS, REPEAT_THRESHOLD, PREEMPT_WINDOW_MS, RECOMMENDATION_TTL_MS } = __testing;
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const API_KEY = "TIMEWEB_API_KEY";
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const MODEL = "TIMEWEB_MODEL";
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function withEnv(env, fn) {
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const prev = {};
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for (const k of Object.keys(env)) {
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prev[k] = process.env[k];
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if (env[k] === undefined) delete process.env[k];
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else process.env[k] = env[k];
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}
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return Promise.resolve(fn()).finally(() => {
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for (const [k, v] of Object.entries(prev)) {
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if (v === undefined) delete process.env[k];
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else process.env[k] = v;
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}
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});
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}
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function stubFetch(reply, latency = 0) {
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const orig = globalThis.fetch;
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globalThis.fetch = async () => {
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if (latency) await new Promise((r) => setTimeout(r, latency));
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return {
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ok: true,
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json: async () => ({
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choices: [{ message: { content: typeof reply === "string" ? reply : JSON.stringify(reply) } }],
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usage: { prompt_tokens: 1500, completion_tokens: 40, total_tokens: 1540 },
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}),
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};
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};
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return () => { globalThis.fetch = orig; };
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}
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test("detectTrigger: returns null when nothing matches", () => {
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const r = detectTrigger({ recentSkillIds: [] }, Date.now(), "gather.logs");
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assert.equal(r, null);
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});
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test("detectTrigger: wedged > 60s fires", () => {
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const now = Date.now();
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const r = detectTrigger(
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{ recentSkillIds: ["x"], lastSignificantMoveAt: now - WEDGED_THRESHOLD_MS - 5000 },
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now,
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"explore.far",
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);
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assert.match(r, /^wedged_\d+s/);
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});
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test("detectTrigger: 4 same dispatches in row + same planned → repeat", () => {
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const now = Date.now();
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const r = detectTrigger(
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{ recentSkillIds: ["explore.far", "explore.far", "explore.far", "explore.far"] },
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now,
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"explore.far",
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);
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assert.match(r, /^repeat_4_explore\.far/);
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});
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test("detectTrigger: same skill repeated but planned is different → no repeat trigger", () => {
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const now = Date.now();
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const r = detectTrigger(
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{ recentSkillIds: ["explore.far", "explore.far", "explore.far", "explore.far"] },
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now,
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"gather.logs",
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);
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assert.equal(r, null);
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});
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test("detectTrigger: recent preempt + same skill re-planned → preempt_retry", () => {
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const now = Date.now();
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const r = detectTrigger(
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{
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recentSkillIds: ["gather.logs"],
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lastPreempt: { at: now - 5000, reason: "forced_move" },
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},
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now,
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"gather.logs",
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);
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assert.equal(r, "preempt_retry_forced_move");
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});
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test("detectTrigger: old preempt (> window) does not trigger", () => {
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const now = Date.now();
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const r = detectTrigger(
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{
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recentSkillIds: ["gather.logs"],
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lastPreempt: { at: now - PREEMPT_WINDOW_MS - 5000, reason: "forced_move" },
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},
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now,
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"gather.logs",
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);
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assert.equal(r, null);
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});
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test("tickAdvisor: disabled when TIMEWEB_API_KEY missing", async () => {
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await withEnv({ [API_KEY]: undefined }, () => {
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_resetForTest();
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const r = tickAdvisor({ recentSkillIds: [] }, { plannedSkillId: "x" });
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assert.equal(r.fired, false);
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assert.equal(r.reason, "disabled");
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});
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});
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test("tickAdvisor: no_trigger when ctx has nothing interesting", async () => {
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await withEnv({ [API_KEY]: "k", [MODEL]: "m" }, () => {
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_resetForTest();
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resetAdvisor();
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const r = tickAdvisor({ recentSkillIds: [] }, { plannedSkillId: "gather.logs" });
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assert.equal(r.fired, false);
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assert.equal(r.reason, "no_trigger");
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});
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});
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test("tickAdvisor: fires on wedged trigger and caches recommendation", async () => {
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const restore = stubFetch({
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action: "switch_skill",
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skill_id: "survive.flee",
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rationale: "Wedged here, retreat instead.",
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});
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try {
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await withEnv({ [API_KEY]: "k", [MODEL]: "m" }, async () => {
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_resetForTest();
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resetAdvisor();
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const ctx = {
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recentSkillIds: ["explore.far"],
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lastSignificantMoveAt: Date.now() - 120_000,
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};
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const r = tickAdvisor(ctx, { plannedSkillId: "explore.far" });
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assert.equal(r.fired, true);
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assert.match(r.reason, /^wedged_/);
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assert.equal(getTriggerState().inFlight, true);
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// Wait for the in-flight promise to settle.
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await new Promise((res) => setTimeout(res, 20));
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assert.equal(getTriggerState().inFlight, false);
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assert.ok(ctx.advisorRecommendation, "recommendation cached");
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assert.equal(ctx.advisorRecommendation.skillId, "survive.flee");
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assert.equal(ctx.advisorRecommendation.usage.total, 1540);
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});
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} finally { restore(); }
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});
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test("tickAdvisor: cooldown blocks second trigger right after", async () => {
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const restore = stubFetch({ action: "continue", rationale: "ok" });
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try {
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await withEnv({ [API_KEY]: "k", [MODEL]: "m" }, async () => {
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_resetForTest();
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resetAdvisor();
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const ctx = {
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recentSkillIds: ["explore.far"],
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lastSignificantMoveAt: Date.now() - 120_000,
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};
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const r1 = tickAdvisor(ctx, { plannedSkillId: "explore.far" });
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assert.equal(r1.fired, true);
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await new Promise((res) => setTimeout(res, 20));
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const r2 = tickAdvisor(ctx, { plannedSkillId: "explore.far" });
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assert.equal(r2.fired, false);
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assert.equal(r2.reason, "cooldown");
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});
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} finally { restore(); }
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});
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test("consumeFreshRecommendation: returns + clears switch_skill recommendation", () => {
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_resetForTest();
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const ctx = {
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advisorRecommendation: {
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at: Date.now(),
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action: "switch_skill",
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skillId: "survive.flee",
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rationale: "x",
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},
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};
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const r = consumeFreshRecommendation(ctx);
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assert.ok(r);
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assert.equal(r.skillId, "survive.flee");
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assert.equal(ctx.advisorRecommendation, null);
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});
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test("consumeFreshRecommendation: stale (> TTL) recommendation dropped", () => {
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_resetForTest();
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const ctx = {
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advisorRecommendation: {
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at: Date.now() - RECOMMENDATION_TTL_MS - 1000,
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action: "switch_skill",
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skillId: "survive.flee",
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},
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};
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const r = consumeFreshRecommendation(ctx);
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assert.equal(r, null);
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assert.equal(ctx.advisorRecommendation, null);
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});
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test("consumeFreshRecommendation: continue/wait recommendations are not consumed for skill swap", () => {
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_resetForTest();
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const ctx = {
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advisorRecommendation: { at: Date.now(), action: "continue", rationale: "ok" },
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};
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const r = consumeFreshRecommendation(ctx);
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assert.equal(r, null);
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// stays cached for telemetry
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assert.ok(ctx.advisorRecommendation);
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});
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