| Commit message (Collapse) | Author | Age | Files | Lines |
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(v4.6.91)
P0-5 asked what to do about a 422k-token session against a 400k threshold. There is no 400k
threshold in this tree — the budgets are maxContextTokens (12000) and maxContext*2 messages — so
rather than chase a number that does not exist, this applies the decision that is defensible
either way: warn before the cliff, never lose history without saying so.
- 80% of the token budget prints one warning per crossing (no per-turn nagging)
- the message-count trim unshifts a marker naming how many messages left the window and quoting
the earliest one, instead of splicing them away silently
- 'max-context-tokens (default: 2000)' now reports the real code default, 12000
Verified: 900/1000 tokens -> warns once, second call silent; 1500/1000 -> compresses to 17
messages with the summary head intact; 9-message window with maxContext=2 -> 4 messages, marker
'[context trim: 6 earlier message(s) ... earliest was: "turn 0 ..."]'.
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_modelDigest() returned JSON.stringify(...) cut at 4000 chars plus '…(digest truncated)'. The
tool then did JSON.parse() on it, so the default detail threw 'Unexpected end of JSON input'
every single call; detail:'full' worked only because it returned the object untouched.
The digest now returns an OBJECT (_modelSnapshot) and shrinks by reducing list lengths, then by
dropping whole sections with an explicit 'omitted' list. The string form is generated at the
edge and is always valid JSON.
Verified: default call -> no error, 13-key snapshot, facts answered; caps 400/1200/4000 all under
cap and parseable; the residual floor at cap 200 is identity fields only.
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1. chat.py renamed the temp file AFTER releasing the flock, so two writers could each
read the pre-replace snapshot and the later rename silently dropped the earlier
message. os.replace now happens inside the lock.
2. The agent cursor was global. After hermes-reset it pointed past the end of the new
empty thread, so every read returned nothing — the agent would think it had been
ignored. Key is now per thread and reset clears every chat cursor.
3. chat-relay.sh had no overlap guard: a slow agent run (up to 5 min) could collide with
the next tick and answer the same thread twice. flock -n on /tmp/chat-relay.lock.
Verified: stale cursor 'webx11_chat_agent_cursor_oldthread00000' set to 9999999999999,
hermes-reset -> zero cursor keys remain, read returns {messages:[], note:'no new messages...'}.
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Two readers shared one cursor. The 30 s UI poller printed each reply and advanced
webx11_chat_state.cursor, so the agent's chat_hermes read then asked for 'since=<that>'
and got an empty list — the answer appeared on the terminal and never reached the model.
That is the reported symptom exactly.
chat_hermes read now uses webx11_chat_agent_cursor, starts from 0 on first use so the
whole thread is visible, and never touches the display cursor. Empty reads say why
('still awaiting Hermes' vs 'no new messages since your last read').
Proven: UI poll consumed the reply (printed to terminal), then chat_hermes read still
returned both the agent's question and Hermes's answer.
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Phase C as repo edits (browser edits in _mods/ do not survive a reload).
- `hermes <msg>`: sends through the chat endpoint and always prints an outcome —
'📨 Sending…' then either '✅ sent id=… epoch=…' or a coded error with a hint
(429 retry later, 503 host busy, 401 run hermes-reset). `feedback` stays as the alias.
- NOT named `chat`: ChatStudioModule already registers `chat` and dispatch walks modules
in order, so a second `chat` was silently unreachable. Found by test, not by reading.
- `hermes-poll` / `feedback-inbox`, `hermes-reset` (token rotation).
- Poller: 30 s, paused while the tab is hidden, polls on visibilitychange, first poll
adopts the cursor and prints nothing, cursor persisted in webx11_chat_state.
- `chat_hermes` tool: send + read from inside the agent loop.
- Contract/help updated for the rename.
Acceptance: 'hermes acceptance test' in the browser, reply written host-side with
scripts/chat.py, appeared in the terminal by itself 30 s later with no command typed
(cursor 1792776973800).
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Packet 4. The matcher tested the whole query as one substring against
name+description+tags: word order decided the outcome ("telemetry dashboard" = 0
while "telemetry" = 1), a sentence could never match, and skill bodies were never
searched at all.
- _skillTokens(): lowercase, split on non-word chars, drop <3-char words and a
stopword list; a query made only of stopwords keeps its literal form
- scoring: name 3, description 2, tags 2, body 1 + up to 1.0 for repeated hits,
multiplied by token coverage (0.5 + 0.5 * matched/total), +3 phrase bonus so word
order can never zero a real hit
- results carry score and matchedTokens ("2/3"); top 3 by score, name as tiebreak
- zero results now name the tokens searched and the closest skill names instead of
"No matching skills found"
Verified live on v4.6.62 via the real runTool entry point:
"telemetry dashboard" and "dashboard telemetry" both return the same 2 skills
(was 0 and 0); "how do I regenerate the skill index" returns skills-system-guide
first (8.96, 2/3) where a sentence previously matched nothing; "info" returns 3
body matches; a nonsense query returns 0 with the tokens and closest names.
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Packet 2 (three surfaces, three answers). Measured first: `errors` scanned
/logs/current.log for [ERROR] lines, but that file only ever receives explicit
terminal.log('ERROR', ...) calls -- exactly one call site in the whole app -- so it
read 0. The dashboard added DebugSupervisor._errorDB plus failed tool calls (18),
and the world model read the debug DB alone (11).
- terminal.countErrors() / countLogErrors(): the single counter, exposed on the one
object all three surfaces already hold
- `errors` prints the canonical total with its breakdown, the entry list (hash,
count, severity, message), and reports the log scan separately as a mirror
- dashboard health.errors and health.errorBreakdown derive from it
- world model telemetry.recentErrors derives from it, plus errorsBySource
- terminal.log('ERROR', ...) now also records into DebugSupervisor, so the log is a
human-readable mirror of one store instead of a second store almost nobody wrote
Verified live on v4.6.61: with a seeded debug entry + failed tool call, all three
report 2; a single log('ERROR') call moves debug 1->2 and the total by exactly 1
(the mirror line is counted once, in the log, and reported separately).
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(v4.6.57)
Acting on the "Request to the newOS4 team" packet (spaces/agando/guides/,
re-verified by its author on 4.6.56). Three verified defects fixed:
Packet 5 (predictor arithmetic) - module-predictor.js
- the persisted field named mape held a SUM while predictor-status divided by the
paired count: renamed to errorSum, older payloads read through
- errorPct is stored raw; the 500% clamp is now render-only, so a 475x miss stays
visible instead of being flattened to the ceiling
- predictions are floored at 1 s and marked floored; a floored prediction is
consumed but never scored as 100% error (a 0 s prediction is not a prediction)
- observations shorter than 1.5 s (aborted/instant runs) are marked unusable and
no longer train _findSimilar - one 0.079 s run was rounding the next prediction
to 0 s
- status prints an unpaired and an unscored count alongside the mean
Packet 10 (verification cannot see its own fixes) - module-aiassist.js
- view_module now returns the DEPLOYED source, prefixed with file and version,
and only falls back to the _mods copy with a "may be stale" banner. The
unversioned _mods/<Class>.js edit cache used to shadow the deployed file
forever, so the viewer showed pre-fix code while the bundle was new.
Proven by seeding a stale _mods/PredictorModule.js and calling the tool.
Packet 1b (ls exits clean with no output) - module-fs.js
- ls rendered only via printClickable(), which writes straight to the DOM, so any
capture (AI run_command, diagnostics) saw an empty result and reported "empty
directory". It now always prints a text line and keeps the clickable chips when
nothing is capturing.
Test: modules/test/test-predictor-accuracy.js 34/34 (new cases Q, R, S).
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The accuracy readout was structurally 0%: module-predictor.js:187 incremented the
denominator on every observed run while the numerator only moved when a stored
prediction existed, and predictions were stored only by the manual `predict`
command (the AI tool predict_task computed one and discarded it). Replaying the
AI loop's own call path with 6 tasks printed "Predictions made: 0, Accuracy: 0/6".
- pending predictions with a 15m TTL, consumed by threaded id -> task hash ->
cli-only similarity >= 0.5; unpaired runs never enter the denominator
- duration scored within 30% or 3s (integer predictions vs fractional observations)
- errorPct capped at 500% so one miss cannot poison the mean error
- schema v2: v1 correct/total counters dropped on load, observed runs and the
prediction counter kept; task text stored as an FNV-1a hash only
- tuning (confidence-threshold, min-data-points, pair-ttl) persists
- min-data-points now scales confidence (was declared, printed, settable, unread)
- AI loop registers a prediction per turn and threads its id; predict_task
returns predictionId; durations exclude chat-lock queue wait
- status/dashboard say "n/a" instead of "N/A%", and carry paired count, mean
error, turns error, pending and unpaired counts
- test: modules/test/test-predictor-accuracy.js (26 assertions)
Live on main.html v4.6.56: fresh session -> "Accuracy: n/a (0/0 paired)";
one paired run -> "100% (1/1 paired) - mean error 5% - turns +-0.0".
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(v4.6.51)
Two defects, both verified live before/after:
1. The World Model panel always said "Not synthesized yet". The page had a
renderer for data.worldModel and _collectDashboardData() never set it -- the
model was right there in WorldModelModule._model. Now collected and mapped to
the renderer's exact keys (model has modules.loaded/skills.count/memory.nodes,
the page reads modules/skills/memoryNodes), plus changesSinceLastSnapshot and
the recent-error sample, with an honest "not synthesized" fallback.
2. The page discarded any payload older than 10 s and its own 5 s auto-refresh
then showed "Cannot connect to newOS4". Stale payloads are now rendered with
their age ("Data as of 1:20:14 AM - 3m ago"), labelled amber past 5 min.
Also: the Refresh button wrote a localStorage key nobody read -> the terminal now
listens for it and re-collects (page says "No terminal tab answered" when no
terminal tab is open); storage events repaint instantly; the dead /api/dashboard
fetch (404 on all three paths, 5 s stall) is gone; `dashboard --watch` / `--stop`
re-collects every 5 s; header says the data is this browser's instance.
Verified v4.6.51: panel rows "Synthesized 34s ago / v4.6.51 / 46-22 / 136-3 /
1 nodes 0 edges / OK / none recorded"; 130 s-old payload still renders with
"- 3m ago" and no banner (previously "Cannot connect"); storage event moves the
footer 13s -> 0s; watch timer advances the payload, --stop clears it; mobile
360/390 px all OK; 0 console errors.
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(v4.6.50)
`world-model-ask` was a 10-keyword lookup: any real question returned
"Unknown query. Try: modules, skills, ...". The documented example
("what changed since yesterday") compared nothing — it restated the current
snapshot.
- _modelDigest(): whitelisted snapshot (measured 942-965 chars on fixtures,
~3.3 KB live) + recent error sample + changesSinceLastSnapshot
- _buildAskPrompt(): "answer only from this JSON, never invent numbers, name the
command that would produce missing data"
- ask(): connects Ollama on demand, answers via chat(), falls back to the facts
path with a visible warning; --facts keeps the instant lookup
- _diffSincePrev(): keeps one previous snapshot in /system/world-model.prev.json
so "what changed" is a real diff (files 136 -> 140)
- world_model_query tool returns the snapshot (digest or detail:full) instead of
ten canned strings; no nested LLM call inside a tool call
- help text now says what it does; node test modules/test/test-world-model-ask.js
(11 assertions, runs the real class)
Verified live v4.6.50: facts "Loaded 46 modules" | LLM "The snapshot does not
contain information regarding the cause of memory growth ... use
world-model-refresh" | diff "files 136 -> 140" | tool snapshot 3,334 bytes.
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live run (v4.6.49)
Agent session surfaced two real defects:
1. The A4 prompt told it to use grep -n / sed -n 'N,Mp' / wc -l / head -N — none of those flags
parsed: grep treated '-n' as the pattern (6/6 variants failed), wc read '-l' as a filename,
head looked for a file named '-2', sed had no range parser. Fixed the tools, not just the text:
grep now accepts -n/-i/-c/-v/-l (line numbers were already printed), wc accepts -l/-w/-c,
head accepts -N and -n N, sed accepts Np and N,Mp, tail no longer prints a blank line for a
trailing newline. Prompt re-ranked to the working forms.
2. Loop guard keyed calls by tool name plus the raw arguments field. When arguments was already
an object (parsed upstream), the key became 'run_command:[object Object]', collapsing distinct
batched commands into one signature and producing false "called 3x" warnings. Now the key is
JSON.stringify(arguments) whenever it is not a string (3 sites: sig, _sigR, _sigD).
Verified live v4.6.49: grep -n/-c, wc -l, head -2, sed -n '2,3p', tail -n 1 all correct.
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- loop guard: a mutation unblocks the replay but no longer erases the repeat counter
(identical mutating calls could loop forever)
- tool traces are per agent tag, flushed in a catch as well as on success, ring-buffered
(first 2 + last 10) so verification reads survive
- read_file notes are metadata only (path/range/next_offset); no file bodies, no secrets,
and web_search/web_fetch output is excluded from durable context (injection surface)
- trace is role:'system' (was 'assistant' — the model re-read it as its own answer)
- surrogate-safe pagination, 500 floor / 16000 cap, prompt limits aligned
- prompt now names checks that exist in the in-page terminal (test, grep -n, wc -l)
- compressed summary capped at 4000 chars; denied-destructive tool result carries tool_call_id
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read/tool/verify prompt rules (v4.6.46)
- read_file: offset/limit + JSON {total_chars,truncated,next_offset} (was a hard 8000-char cut with no resume)
- tool results now leave a per-turn trace that is persisted into session context and survives compression
- maxContextTokens 2000 -> 12000; compression keeps 8 exchanges and 400 chars/msg
- system prompt: page big files, prefer grep -n / sed -n / head, re-read + verify after every edit
- verified in the live browser: 30k file pages 0->8000->16000, prompt section present, v4.6.46 served
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print-capture attribution + shadow diff pairing
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sed in safeRead, security test harness (21 checks)
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Promise.all)
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entry points, structured JSON tool error
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messages, AI loop guard
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