* docs(v0.3.1): PRD — LLM prompt cost optimization
Design-only commit; no runtime changes. Spec for the next patch iteration.
Goal: cut per-advise() input tokens from ~800 to ≤300, preserving the
LLM's ability to produce valid registered skill ids and useful rationale.
Five proposed changes ranked by impact:
P1 Compact registry format (saves ~350t/call) — group by namespace,
comma-list ids, drop human titles. Default mode for advisor;
verbose mode kept for postmortem/reflect.
P2 Need-scoped registry (~50t additional) — show LLM only skills
relevant to the active Maslow need + always-available safety
skills (survive.flee, pillar-up, recovery.tunnel-out, explore.*).
P3 Snapshot pruning (~50t) — drop weather/experience/dimension/biome/
players from the user prompt; the LLM doesn't consult them.
P4 Prompt caching probe — check if TimeWeb passes through
prompt_tokens_details.cached_tokens. If yes, restructure prefix
to maximize cache hits (cached input is ~10x cheaper at OpenAI).
P5 Per-trigger cost telemetry in scripts/list-improvements.js --stats:
avg_in / avg_out / cost_₽ / share% per trigger_reason, using
TIMEWEB_PRICE_IN_RUB_PER_M and TIMEWEB_PRICE_OUT_RUB_PER_M env.
Trigger: TimeWeb admin panel after first day of v0.3.0 live showed
34K tokens / day at low activity. At cap budget that projects to
~480₽/month (101₽/M in, 608₽/M out for gpt-5.4-mini). Manageable
but the savings are mostly free — repeated infra tokens, not signal.
All changes are additive; runtime behaviour stays the same. If the
LLM produces worse advice with the compact registry, flip back via a
single constant in fast-advisor.js.
Acceptance: re-run scripts/check-timeweb.js probe 3 — expect
tokens_in ≤ 300 (was ~800). Live for 1h, check --stats: avg_in ≤ 300
per trigger group. Existing 360 tests still green.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
* feat(v0.3.1): storyline — canonical Minecraft survival quest
The bot has been stuck in a loop for two days:
acquire-food (fail: no nearby food) → explore.far → pillar-up (fail) → repeat
Diagnosis: manifesto + LLM advisor both correctly identify "you need
food" but neither expresses *what concretely to do next*. Manifesto is
a priority ladder (need-detection), not a narrative arc.
This commit adds the missing narrative layer — an ordered list of
operational steps that mirror the vanilla Minecraft survival path:
1. orient_self — Понять где я
2. first_wood — Собрать 8 поленьев
3. crafting_basics — Сделать верстак и палки
4. first_tools — Деревянные орудия
5. first_food — Найти первую еду
6. shelter_minimal — Простой шелтер с кроватью
7. stone_tier — Каменные орудия
8. food_security — Запас еды на 16+
9. iron_age — Железо и печь
10. settle_base — Постоянная база
11. village_grow — Развивать деревню (ongoing)
Each step has:
- completed(snapshot) → bool — detects achievement from snapshot
- suggestSkill(snapshot) → { skillId, args? } — concrete next dispatch
- emergencyPause(snapshot) → bool — defers to manifesto L0 alive
emergencies (low HP near hostile, lava under foot, food = 0)
- narration_ru — chat-friendly Russian one-liner spoken on entry
Components:
- runtime/goal/storyline.js — 11-step canonical quest catalogue
- runtime/goal/state.js — pickCurrentStep(snapshot) walks the list,
returns first non-completed step + its suggestion. 3s cache.
Validates suggestSkill's skillId against the live registry.
- runtime/reflex.js — curriculumReflex dispatch priority is now:
1. manifesto (L0 alive emergencies always win)
2. storyline (concrete operational subgoal)
3. curriculum plan (legacy fallback)
Tests pass ctx.disableStoryline=true for isolation.
- runtime/bot.js — snapshot.storyStep populated each tick so
chatter/advisor/reflect observers see the same view.
- runtime/coach/fast-advisor.js — buildUserPrompt now embeds the
current step + its suggested skill, so LLM advice is anchored
("step 5 first_food, storyline wants survive.acquire-food, but
recent dispatches show it's failing — try explore.far + scout").
- runtime/coach/advisor-trigger.js — forwards ctx.storyStep into
advise() and logs step id at trigger time.
- runtime/coach/reflect.js — reflection prompt includes storyline
progress so 30-min self-assessment is anchored.
- runtime/persona/chatter.js — narrates step.narration_ru on
transition. Rate-limited via existing maybeNarrateRaw().
New operator CLI:
- scripts/show-story.js — fetches the live snapshot via IPC sock and
prints step progress with ✓/→/ markers, current skill, inventory.
Falls back to --plain catalogue view when bot offline.
Token cost impact: ~+30 input tokens per advise() call (one extra
line in user prompt). Trivial vs the value of grounding LLM advice
in a concrete narrative.
Operator usage:
node scripts/show-story.js # live progress + which step + why
node scripts/show-story.js --plain # static catalogue of all 11 steps
Tests: 376 green (was 360, +16 storyline tests).
Also in this branch (already committed): dev/v0.3.1/PRD.md —
LLM prompt cost optimization design doc.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
* fix(v0.3.1): storyline beats manifesto L1+ (only L0 alive emergencies override)
Found in live logs after the previous commit deployed:
storyline: step 1/11: orient_self → explore.wander
advisor-trigger: firing because wedged (planned=survive.acquire-food, ...)
Manifesto was still picking survive.acquire-food (L1 food) over the
storyline's orient_self → explore.wander. That's the wrong precedence —
storyline expresses a *concrete operational subgoal* and L1+ manifesto
needs are just "you'd benefit from food" priorities, not emergencies.
New dispatch precedence in curriculumReflex:
1. manifesto L0 (alive emergencies: lava, low-HP+hostile, food=0)
2. storyline (concrete narrative subgoal — beats L1+ manifesto)
3. manifesto L1+ (fallback when storyline has no concrete suggestion)
4. curriculum plan (legacy fallback)
This way the bot starts following the narrative arc even while
manifesto's L1 food is technically unsatisfied — orient_self runs to
completion before pursuing food explicitly. Storyline already handles
food as step 5 (first_food), so we're not skipping it.
Tests: 378 green (+2 priority-ordering tests):
- L0 manifesto emergency: upstream reflex (defend/modes) catches before
curriculum dispatch
- storyline beats manifesto when both have suggestions: well-fed bot
with logs → craft.planks (storyline crafting_basics), not gather.logs
(manifesto L2)
- updated "manifesto fallback" test to require disableStoryline=true
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
* feat(tui): fullscreen monitor-only TUI (opencode-style)
Replaces the old tui/tui.tsx hotkey-heavy dashboard with a read-only
observability screen. Operator actions live in scripts/* now —
TUI is for watching, not driving.
Layout (top to bottom, all auto-resizing to terminal):
1. Header — MC/IPC status, pos, HP, food, day/night, hostiles
2. Storyline — current step + 11-step quest map (✓/→/○)
3. Activity — last N skill dispatches (colour by outcome)
4. MC Chat — last N chat lines (cyan for bot, yellow for players)
5. Advisor — last N LLM recommendations (trigger + outcome + tokens)
6. Improvements — open requests from knowledge.improvement_requests
7. Footer — 24h token usage + cost in ₽ + q-to-quit
Data sources:
- IPC sock: snapshot frames, log frames, chat frames (push)
- SQLite knowledge.db: advisor_recommendations + improvement_requests
polled every 5s (pull)
Token cost displayed live using TIMEWEB_PRICE_IN_RUB_PER_M /
TIMEWEB_PRICE_OUT_RUB_PER_M env vars (defaults: 101 / 608 for
gpt-5.4-mini).
Switches:
- npm run tui → new monitor (this file)
- npm run tui:legacy → old action-driven tui/tui.tsx (kept for now)
Implementation notes:
- Uses ink + alternate-screen-buffer ANSI for proper "opencode-feel"
fullscreen behaviour; restores prior terminal contents on quit.
- Skips alt-screen and useInput when stdin/stdout isn't a TTY
(smoke tests, piped output) — both gracefully degrade.
- Stable React keys via per-event uid counter, avoids reconciler
duplicate-key warnings as logs/chat/dispatches stream in.
- Resize handled via 1s stdout-dimension poll, NOT direct
'resize' listener (which conflicts with ink's own listener and
triggers MaxListenersExceededWarning).
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
* ui(tui): compact 4-section monitor (was 6) — fits 1080p without zoom
Operator reported the TUI overflowed the screen unless terminal was
zoomed way out. The 11-step storyline list alone was eating ~13
rows, and each advisor/improvement entry took 2-3 rows. Now:
- Header + storyline collapsed into one panel (2 lines):
line 1: pepa · ●MC ●IPC · 1m50s · pepa_bot · (697,61,702) · HP 20 · food 5 · ☀ · ⚔60(creeper@58b)
line 2: story ▓▒░░░░░░░░░ 1/11 orient_self · Понять где я → explore.wander
The 11-step ladder is now a unicode progress bar (▓ done, ▒ current,
░ pending) — same info, fits in one row.
- Advisor entries: one line each instead of two.
✓ wedged_60s → survive.flee 802t 1900ms
(outcome mark / trigger / target skill / tokens / latency)
- Improvements entries: one line each instead of two.
#1 P2 ×3 Add craft.iron-pickaxe skill
Description dropped from the row — use `node scripts/list-improvements.js`
for full text.
- Sections: 4 (was 6).
[header+story] · [activity | chat] · [advisor | improvements] · [footer]
Tested on a typical 1080p terminal — fits comfortably without zoom.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
* feat(v0.3.1): real survival patterns — biome-aware scout, wedge-relocate, escape-pit-safe
Operator reported the bot wandered the same 50×50 patch for 2 hours
without making any progress toward food. Diagnosis showed three root
causes; this commit addresses all five open improvement_requests
the LLM (postmortem + tuner) flagged automatically.
Research basis (`Voyager`, `Plan4MC`, `GITM`, `Mindcraft`):
- Coverage / commit-to-cardinal exploration when local scan fails
- Biome-aware strategy switching using a static affordance table
- Wedge detector above the skill layer that triggers RELOCATE not
RETRY (per-skill stuck checks reset on re-entry — useless)
- Time-in-region bbox heuristic + need-duration AND skill-cycle gate
Concrete changes:
1. `runtime/goal/storyline.js`
- orient_self.completed: added timeout fallback (HP=full + session
>120s → done) so barren biomes don't block the bot on step 1.
Closes improvement #2 'Нет навыка оценки когда сменить район'.
- first_food.suggestSkill: now picks survive.scout-food (new) when
no passive mob is nearby; falls back to survive.acquire-food only
when something is in immediate range.
2. `runtime/biome-affordances.js` (new)
- Static table: 40+ biomes → {has_passive_mobs, has_trees,
has_water, has_crops, livable}.
- Unknown biomes return optimistic defaults to avoid regressions.
- Closes improvement #1 'Нет навыка целевого поиска еды по биому'.
3. `runtime/skills/scout-food.js` (new — survive.scout-food)
- Tiered strategy: biome check → scan 32 → scan 64 → commit a
cardinal for 200 blocks rescanning every 16. On cardinal
exhaustion, returns code:"exhausted" so the curriculum can
escalate to village.relocate.
- In barren biomes (desert/ocean/snowy_plains) the scan is
SKIPPED — bot walks straight toward the nearest neighbour
biome that affords passive mobs (8-direction biome probe at
radius 64).
4. `runtime/awareness/wedge-detector.js` (new)
- Rolling 10-min position bbox tracker. observe() called every
tick; isWedged() returns true when bbox<50 AND active need
unmet >5min AND skill cycles ≥3.
- markRelocationStarted() suppresses further wedge firings
until the bot has displaced ≥200b — prevents stack overflow
of relocate calls.
- Lives ABOVE the skill layer (in runtime/reflex.js), because
any per-skill stuck check resets on re-entry.
5. `runtime/skills/relocate.js` (new — village.relocate)
- 300-block walk in least-recently-used cardinal (per-incident
memory in ctx.recentRelocations).
- Re-paths every 32 blocks, soft-tolerates pathfinder failures
(3 consecutive throws → exit with code:"stuck_in_place").
- Closes improvement #2 + #4 ('low success rate trigger').
6. `runtime/skills/escape-pit-safe.js` (new — recovery.escape-pit-safe)
- Surveys 4 cardinals AND ceiling height before committing.
Picks the direction with most open blocks (≥3, no lava).
Falls through to pillar-up only if ceiling clear ≥4b. Returns
code:"no_strategy" if both blocked so curriculum can escalate
to relocate.
- Closes improvement #3 'Нет навыка для безопасного выхода'.
7. `runtime/reflex.js`
- Wedge detector wired before manifesto/storyline. If wedge.wedged
is true, dispatches village.relocate directly and returns —
bypasses every other branch.
- ctx.disableWedge flag for tests.
8. `runtime/coach/advisor-trigger.js`
- LLM provider outage backoff: 3 consecutive http_400 / timeout /
network_error → suppress advisor for 10 min. Today's TimeWeb
gpt-5.4-mini was 400'ing for an hour straight; we were spending
trigger budget on dead calls. Closes improvement implicit gap
in #5.
9. `runtime/bot.js`
- Tracks botSpawnedAt; snapshot._sessionMs exposed for storyline
orient_self timeout fallback.
Tests: 396 green (was 378, +18):
- runtime/biome-affordances.test.js — 8 tests
- runtime/awareness/wedge-detector.test.js — 9 tests
- runtime/goal/storyline.test.js — 1 new test (orient_self timeout)
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
* fix(coach/trigger-tuner): crash after ~1h — runOnce is sync, not a Promise
The live bot died overnight with:
TypeError: runOnce(...).catch is not a function
at trigger-tuner.js:42 → [supervisor] child exited code=1
attach() wrapped the timer body as `runOnce().catch(...)` but
runOnce() returns a plain {ok, flagged, ...} object (pure SQL, no
await). The first tuner tick (60min after spawn) threw → killed the
whole bot process. Never surfaced before because the bot rarely ran
uninterrupted for a full hour during development.
Fix: guard the synchronous call with try/catch, matching how
persona/chatter.js already does its sync tick. (postmortem.drainOnce
and reflect.runOnce ARE async, so their .catch is correct — audited.)
Regression test added: captures the setInterval callback and invokes
it synchronously, asserting it does not throw.
Tests: 397 green.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
* fix(v0.3.1): mechanical food/stuck fixes — bot reaches the chicken now
The wedge wasn't only in the manifesto layer; several mechanical bugs
kept the bot in a dead random-walk:
- storyline / manifesto / curriculum: "local food" now means an edible
passive mob within <=32 blocks. A distant chicken or a cod no longer
fools the bot into dispatching acquire-food (which then fails on
no_path). Long-range food goes through scout-food instead.
- scout-food: partial approach to a target now counts as progress
(approached_target, e.g. moved:14); a blocked heading is NOT counted
as movement; added blind/tunnel fallback so it doesn't die when the
pathfinder can't route cleanly.
- acquire-food: on no_path it now also tries a blind/tunnel approach to
the animal; no_drop routes back into food scouting instead of giving
up.
- explore.far / relocate / flee: fewer false "done" results (micro-steps
no longer counted as success), more genuine escapes from stuck.
- scripts/show-story.js: live IPC now actually renders the current
storyline step.
Verification: scripts/lint-patch.js clean; npm test 404/404 green; bot
relaunched in tmux `pepa`. Live logs show real progress — bot switched
to survive.scout-food, approached the chicken (approached_target
moved:14), then reached survive.acquire-food: hunting chicken. Food
isn't fully closed yet but the remaining issue is concrete pickup/drop,
not dead random-walk.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
* fix(v0.3.1): sated bot stops chasing food + perf-leak + fuzzy improvement dedup
Third day of "bot just walks back and forth burning tokens". Root
causes were mechanical, not the manifesto:
1. SATED BOT CHASING FOOD (the big one)
Bot had food=17 (nearly full) but storyline first_food + manifesto
L1 required 2+ food ITEMS in inventory, so it looped scout-food /
acquire-food for hours instead of working. Now both treat a hunger
bar >= 14 (SATED_FOOD) as satisfied even with empty food inventory —
a full bot chops wood / makes tools and grabs food opportunistically,
only hard-pursuing food when actually hungry (< 14).
manifesto/needs.js foodDetect + goal/storyline.js first_food.completed.
2. perf_hooks MEMORY LEAK (overnight OOM suspect)
"MaxPerformanceEntryBufferExceededWarning: 1,000,001 measure entries".
mineflayer/pathfinder emit perf marks we never consume. Added a
60s reaper in bot.js (performance.clearMeasures/clearMarks). unref'd.
3. IMPROVEMENT QUEUE SELF-DUPLICATING
The LLM re-filed closed gaps with reworded titles (#5/#8/#9 were
dupes of implemented #1/#2/#3). Exact-title dedup missed them.
Replaced with token-set fuzzy match (isDuplicateTitle): jaccard>=0.75
OR >=3 shared meaningful tokens with jaccard>=0.5. Also: a re-filed
gap that's already implemented/rejected is NOT resurrected as a new
open row. Cleared all 5 open requests (now genuinely implemented).
Also confirmed (no change needed):
- canDig=true is a DELIBERATE codebase-wide choice ("without it the bot
gets permanently stuck", actions.js). The stale memory recommending
canDig=false is updated. ViaBackwards dig works partially (dug:1
moved:1.8 observed); false would trap the bot in every pit.
- scout-food already has blind/tunnel fallback + 12s step timeout
(operator's earlier edits) so trapped-pathfinder degrades instead of
hanging 30s.
Tests: 407 green (was 404). Updated needs/state/storyline tests for the
SATED_FOOD threshold; added fuzzy-dedup + tokenize/jaccard tests.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
---------
Co-authored-by: Yuriy Mayatnikov <mayatnikov@me.com>
Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
251 lines
9.0 KiB
JavaScript
251 lines
9.0 KiB
JavaScript
// explore.far — walk ~48 blocks in a single direction, away from where
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// the bot currently stands. Used as the wander hint target when
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// gather.* skills can't find their resource in the bot's immediate
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// neighbourhood (e.g. spawn protection with no trees inside 64 blocks).
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//
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// Picks a heading by quadrant rotation (NE → SE → SW → NW) so successive
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// calls actually circle the spawn instead of bouncing within the same
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// patch.
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import pathfinderPkg from "mineflayer-pathfinder";
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const { pathfinder, Movements } = pathfinderPkg;
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import { info, warn } from "../log.js";
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import { digEscapeTunnel } from "./recovery-tunnel-out.js";
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let pluginLoaded = new WeakSet();
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function ensurePathfinder(bot) {
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if (pluginLoaded.has(bot)) return;
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bot.loadPlugin(pathfinder);
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pluginLoaded.add(bot);
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}
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function setMovementsForTravel(bot) {
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const m = new Movements(bot);
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m.canDig = true;
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m.allow1by1towers = false;
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bot.pathfinder.setMovements(m);
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}
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function withTimeout(promise, ms, label) {
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let timer;
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const timeout = new Promise((_, reject) => {
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timer = setTimeout(() => reject(new Error(`${label} timed out after ${ms / 1000}s`)), ms);
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});
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return Promise.race([promise, timeout]).finally(() => clearTimeout(timer));
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}
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// Per-bot quadrant rotation.
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const quadrantOf = new WeakMap();
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const QUADRANTS = [
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{ x: +1, z: -1 }, // NE
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{ x: +1, z: +1 }, // SE
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{ x: -1, z: +1 }, // SW
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{ x: -1, z: -1 }, // NW
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];
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function nextQuadrant(bot) {
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const idx = (quadrantOf.get(bot) ?? -1) + 1;
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quadrantOf.set(bot, idx);
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return QUADRANTS[idx % QUADRANTS.length];
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}
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export const skill = Object.freeze({
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id: "explore.far",
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title: "Walk ~48 blocks in one direction",
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timeoutMs: 90_000,
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preconditions(ctx) {
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if (!ctx?.bot) return { ok: false, code: "no_bot", detail: "bot missing" };
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return { ok: true };
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},
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async execute(ctx, args = {}) {
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const bot = ctx.bot;
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ensurePathfinder(bot);
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setMovementsForTravel(bot);
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// 2026-05-26: probe-then-go. Try all 4 cardinal directions for
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// 800 ms each, pick the one where we actually moved, then commit
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// a long blind walk in that direction. Pathfinder timeouts on
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// this server mean we can't trust GoalNear; cardinal probing
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// gives us a free-direction signal cheaply.
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const dist = Math.max(24, args.distance ?? 48);
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const beforeProbe = clonePos(bot.entity.position);
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const trials = await probeCardinalStep(bot, 800);
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const movable = trials.filter((t) => t.dist > 0.5);
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// Journal-aware: if more than one direction is walkable, prefer the
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// one in the LEANEST quadrant (least amount of stuff we've already
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// catalogued, including dead_end markers — so we don't loop the same
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// area). Falls back to "best by distance" when only one direction
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// works or journal is empty.
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let best = trials.reduce((b, t) => (t.dist > b.dist ? t : b), { dist: 0, yaw: 0, name: "?" });
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if (movable.length > 1 && ctx?.journal?.leanestQuadrant) {
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const here = bot.entity.position;
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const { best: leanest } = ctx.journal.leanestQuadrant({ x: here.x, z: here.z, radius: 96 });
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const QUAD_TO_CARDINAL = { NE: "N", SE: "E", SW: "S", NW: "W" };
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const preferredName = QUAD_TO_CARDINAL[leanest];
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const preferred = movable.find((t) => t.name === preferredName);
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if (preferred) best = preferred;
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info("action", `explore.far: journal says leanest quadrant=${leanest} → prefer ${preferredName}`);
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}
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info("action", `explore.far: cardinal probe trials=${trials.map((t) => `${t.name}:${t.dist.toFixed(1)}`).join(" ")} best=${best.name}`);
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if (best.dist < 0.5) {
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// All cardinals blocked. Try the cheap vertical escape first; if it
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// does not actually move us, carve a short horizontal tunnel. The
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// previous code returned OK after dig-up+jump even when position was
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// unchanged, causing repeated false "done" completions.
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info("action", "explore.far: wedged — escape-pit, then tunnel-out if still stuck");
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const escape = await escapePit(bot, 3);
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const detail = { ...(escape.detail ?? {}), trials };
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if (!escape.ok) {
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return { ok: false, code: escape.code ?? "wedged", detail, worldDelta: escape.worldDelta ?? null };
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}
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return { ok: true, code: "done", detail, worldDelta: escape.worldDelta ?? null };
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}
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const here = bot.entity.position.clone();
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const tx = Math.round(here.x + Math.sin(-best.yaw) * dist);
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const tz = Math.round(here.z + Math.cos(-best.yaw) * dist);
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const ty = Math.round(here.y);
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info("action", `explore.far: blind-walking ${best.name} toward ${tx},${ty},${tz}`);
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return blindWalkOrTunnelOut(bot, {
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yaw: best.yaw,
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dirName: best.name,
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blindMs: args.blindMs ?? 20_000,
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minMove: args.minMove ?? Math.min(14, Math.max(8, dist * 0.25)),
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tunnelPushMs: args.tunnelPushMs,
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reason: `explore.far blind ${best.name}`,
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intended: { x: tx, y: ty, z: tz },
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});
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},
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});
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export async function blindWalkOrTunnelOut(bot, { yaw, dirName, blindMs = 7_000, minMove = 0.75, tunnelPushMs, reason = "blind fallback", intended = null } = {}) {
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const before = clonePos(bot.entity.position);
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try { await bot.look(yaw, 0, true); } catch {}
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bot.setControlState("forward", true);
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bot.setControlState("jump", true);
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try {
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await new Promise((r) => setTimeout(r, Math.max(0, blindMs)));
|
|
} finally {
|
|
bot.setControlState("forward", false);
|
|
bot.setControlState("jump", false);
|
|
}
|
|
|
|
const moved = horizontalDistance(before, bot.entity.position);
|
|
if (moved >= minMove) {
|
|
return {
|
|
ok: true,
|
|
code: "done",
|
|
detail: { mode: "blind-moved", previousMode: "blind", dir: dirName, moved, intended },
|
|
worldDelta: { movedTo: clonePos(bot.entity.position) },
|
|
};
|
|
}
|
|
|
|
info("action", `explore.far: blind ${dirName} moved only ${moved.toFixed(2)} horizontally → tunnel-out`);
|
|
const tunnelArgs = { maxSteps: 3, reason };
|
|
if (tunnelPushMs !== undefined) tunnelArgs.pushMs = tunnelPushMs;
|
|
const tunnel = await digEscapeTunnel(bot, tunnelArgs);
|
|
const detail = { mode: "blind", dir: dirName, moved, recovery: tunnel.detail ?? null };
|
|
if (!tunnel.ok) {
|
|
return {
|
|
ok: false,
|
|
code: tunnel.code ?? "wedged",
|
|
detail,
|
|
worldDelta: tunnel.worldDelta ?? null,
|
|
};
|
|
}
|
|
return {
|
|
ok: true,
|
|
code: "done",
|
|
detail: { ...(tunnel.detail ?? {}), previousMode: "blind", recovered: true },
|
|
worldDelta: tunnel.worldDelta ?? { movedTo: clonePos(bot.entity.position) },
|
|
};
|
|
}
|
|
|
|
export const _internal = { blindWalkOrTunnelOut };
|
|
|
|
const CARDINAL_YAWS = [
|
|
{ name: "N", yaw: Math.PI },
|
|
{ name: "E", yaw: -Math.PI / 2 },
|
|
{ name: "S", yaw: 0 },
|
|
{ name: "W", yaw: Math.PI / 2 },
|
|
];
|
|
|
|
function clonePos(pos) {
|
|
if (typeof pos?.clone === "function") return pos.clone();
|
|
return { x: pos?.x ?? 0, y: pos?.y ?? 0, z: pos?.z ?? 0 };
|
|
}
|
|
|
|
function horizontalDistance(a, b) {
|
|
return Math.hypot((b?.x ?? 0) - (a?.x ?? 0), (b?.z ?? 0) - (a?.z ?? 0));
|
|
}
|
|
|
|
function verticalGain(a, b) {
|
|
return (b?.y ?? 0) - (a?.y ?? 0);
|
|
}
|
|
|
|
async function escapePit(bot, maxSteps = 3) {
|
|
const before = clonePos(bot.entity.position);
|
|
for (let i = 0; i < maxSteps; i++) {
|
|
const head = bot.entity.position.offset(0, 1.7, 0);
|
|
const above = bot.blockAt(head.offset(0, 0.5, 0));
|
|
if (!above || above.name === "air" || above.name === "cave_air" || above.name === "void_air") {
|
|
bot.setControlState("jump", true);
|
|
bot.setControlState("forward", true);
|
|
await new Promise((r) => setTimeout(r, 700));
|
|
bot.setControlState("jump", false);
|
|
bot.setControlState("forward", false);
|
|
continue;
|
|
}
|
|
try { await withTimeout(bot.lookAt(above.position.offset(0.5, 0.5, 0.5), true), 1_500, "lookAt-up"); } catch {}
|
|
try {
|
|
await withTimeout(bot.dig(above), 8_000, "dig-up");
|
|
} catch (e) {
|
|
warn("action", `escape-pit dig-up failed: ${e.message}`);
|
|
break;
|
|
}
|
|
bot.setControlState("jump", true);
|
|
await new Promise((r) => setTimeout(r, 600));
|
|
bot.setControlState("jump", false);
|
|
await new Promise((r) => setTimeout(r, 400));
|
|
}
|
|
|
|
// Let jump physics settle before deciding whether escape-pit worked.
|
|
// Vertical-only motion is not freedom from a wedged shaft; require real
|
|
// horizontal movement, otherwise fall through to the tunnel-out skill.
|
|
await new Promise((r) => setTimeout(r, 500));
|
|
const moved = horizontalDistance(before, bot.entity.position);
|
|
const climbed = verticalGain(before, bot.entity.position);
|
|
if (moved >= 0.75) {
|
|
return {
|
|
ok: true,
|
|
code: "done",
|
|
detail: { mode: "escape-pit-up", moved, climbed },
|
|
worldDelta: { mode: "escape-pit-up", movedTo: clonePos(bot.entity.position) },
|
|
};
|
|
}
|
|
info("action", `escape-pit moved only ${moved.toFixed(2)} horizontally (dy=${climbed.toFixed(2)}) → tunnel-out`);
|
|
return digEscapeTunnel(bot, { maxSteps: 3, reason: "explore.far escape-pit" });
|
|
}
|
|
|
|
async function probeCardinalStep(bot, durationMs = 800) {
|
|
const trials = [];
|
|
for (const { name, yaw } of CARDINAL_YAWS) {
|
|
try { await bot.look(yaw, 0, true); } catch {}
|
|
const before = bot.entity.position.clone();
|
|
bot.setControlState("forward", true);
|
|
try {
|
|
await new Promise((r) => setTimeout(r, durationMs));
|
|
} finally {
|
|
bot.setControlState("forward", false);
|
|
}
|
|
const after = bot.entity.position;
|
|
const dist = Math.hypot(after.x - before.x, after.z - before.z);
|
|
trials.push({ name, yaw, dist });
|
|
await new Promise((r) => setTimeout(r, 150));
|
|
}
|
|
return trials;
|
|
}
|