95a44772835c1eb4caf10b81b35d6b520beeea4f
18
Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
|
|
543cf33789 |
Notes front door: format-agnostic import into the graph pipeline
The same extractor→auditor→merger pipeline now runs over raw personal
notes in arbitrary formats (vision §1, DECIDED 2026-09-13):
- NotesSource records (data/graph/sources.json, deterministic id from
path hash → idempotent re-imports) play the chatId role in mappings,
checkpoints, and observation events; usage lands on the source record
(appendSourceUsage, idempotent per startedAt, kept across upserts).
- mergeFindings is chat-store-free: callers pass MergeSource
{messages, foldedAt} — sessions pass the chat record, notes pass
messages:null (no quiz-event rebuild; a deterministic rebuild needs
structured quiz tool parts).
- Second extractor prompt (NOTES_EXTRACTOR_INSTRUCTIONS) for general-
purpose extraction; understanding judges the AUTHOR's grasp. Auditor
wording input-agnostic. extract/audit share one generic runSubmitAgent.
- graphSnapshot.fileSources (srcId→filePath); notes sources render as
static path entries in the detail card (FileTextIcon, never a link).
- One shared pipeline instance (exported from chat-handler): same
single-flight registry, live status chips (label = file path), usage
accounting, and true abort for both front doors.
- Transport: POST /api/graph/import (multipart, 3-wide worker pool) +
Import notes… button in the graph view; scripts/import-notes.ts for
batch runs (concurrency 4).
- real-data-extraction/ gitignored (raw import sources never committed).
355/355 tests; typecheck, lint, build green.
|
||
|
|
de0c286311 |
feat: model + thinking control — the stats bar's picker, on pi-ai's catalog
The model-control wave (user-decided design, 2026-09-12): ONE controller
for the conversation agents (prober/teacher are functionally one agent);
background sub-agents stay config-pinned. pi-ai owns the registry — the
shipped 366-model OpenRouter catalog (cost, context, modality,
thinkingLevelMap), getSupportedThinkingLevels/clampThinkingLevel for the
per-model thinking truth, and streamSimple's automatic clamp. No second
registry to drift out of sync.
Seams:
- config.ts: ReasoningEffort retired for pi's ThinkingLevel
(off|minimal|low|medium|high|xhigh|max). GLM roles go honest at "low" —
pi's catalog says GLM-5.3-flash accepts exactly low|high|max, and the old
"minimal" was silently clamped to low by streamSimple since the swap;
nothing changes behaviorally. visualMaker → qwen/qwen3.8-flash (fixes
the dead qwen/qwen3.8-max slug — the catalog only ships -0902; also the
user's cost pick, 0.15/0.47 per-1M).
- src/agent/models.ts: piEngineFor(role, settings?) — provider+id resolved
from the catalog, thinking level from settings ?? config, CLAMPED to the
model's supported list (a settings change between models can never send
an invalid level). PiEngine gains `level` (observability/tests).
- ChatRecord.settings {model?: {provider, id}, thinkingLevel?} — written
by PUT /api/chats/[id]/settings (replace-whole, no updatedAt churn),
read by chat-handler at turn composition: agents are stateless per turn,
so the change is next-turn-effective by construction. The turns log
still records the ACTUAL billed model (the honest witness).
- GET /api/models: the configured-provider catalog as client-safe DTOs
(core/contracts/models.ts) + config defaults; a second provider joins
the picker by registering it in piModels() — nothing else changes.
- PUT settings validation gate (src/server/model-catalog.ts): unknown
provider/model or unsupported level → 400 carrying the supported list,
never a silent clamp.
- scripts/sync-pricing.ts: regenerated PRICES/CONTEXT_LIMITS from pi-ai's
shipped openrouter.json (offline; same source as the engine + picker).
All 366 models priced; glm's stale 0.15/0.5 → pi's 0.075/0.25, limit
1310720 → 1048576 — cost is inferred at read time, so history re-prices.
- UI (components/model-picker.tsx): stats-bar right side becomes model +
thinking buttons; menus open ABOVE; fuzzy search over "provider id
name" (core/fuzzy.ts — pi's /model pattern); model rows show name/id/
price/context; the thinking menu lists exactly the chosen model's
supported levels (GLM: low|high|max — no dead options, no "off").
Model switch drops an incompatible pinned level (falls back to config,
which clamps honestly) rather than carrying a 400.
Tests (350/350, +15): catalog projection + defaults, the settings gate,
pi thinking truth pinned against upgrades (glm low|high|max; minimal→low;
off→low — GLM cannot disable thinking), the engine factory's
override/fallback/clamp/throw matrix, fuzzy ranking, store round-trip,
and the re-priced folds (usage, stats bar, activity dock).
Live smoke (disposable driver, deleted): catalog route 366 + defaults;
glm+minimal → 400 + supported; turn 1 billed qwen/qwen3.8-flash under
the override; mid-session switch flipped turn 2 to glm; clear-overrides
restored the config pin. ALL CHECKS PASS on real OpenRouter.
|
||
|
|
5653c77a29 |
feat: probe/teach agent split — explicit phase markers, position-only plan map
Diagnosis (2026-09-11 user testing, minimal-effort GLM): sessions stuck on 'plan' forever. Two causes: (1) the three-phase view read the stored tree's currentNodeId, which nothing ever writes post author-once (2026-09-03) — a structural dead seam; (2) the teacher stochastically left quiz.nodeId untagged, and done-by-quiz-result semantics would have falsely completed nodes anyway. The redesign (docs/probe-teach-split.md) abolishes derived occupancy in favor of explicit events: - Two agents over one transcript: createProberAgent (quiz without a nodeId field, ask, probe_done) and createTeacherAgent (full toolset, plan_init onward). The chat-handler construction branch keys on a probe_done part in the transcript. MODELS.prober added. - probe_done: server-side seam tool — carries the learner assessment (strands + free-form edge read), refuses while a question is open or the probe is already concluded, and queues a handoff steer through the generalized wake pipeline (steers now dedupe by id, not jobId; job finalization only for job steers). The teacher auto-wakes and authors the plan; the learner sees the assessment via the probe-done card. - phases: probe ends at a concluded probe_done, plan ends at a successful plan_init — strictly sequential, no skipping, no legacy compatibility (data wiped at the pivot per doctrine). - Plan map = position, not completion: derivePlanStatuses reads only tagged quiz CALLS (state/outcome feed nothing); current = latest tagged node with consecutive duplicates collapsed, visited = earlier distinct stays (a revisit stays in both — current wins at render). PlanTree is structure-only; currentNodeId/doneNodeIds and the dead mutation helpers are gone. No fallback current. - Prompts split per agent (prompts/prober/, prompts/teacher/ over the trimmed shared base); graph-context injection removed entirely (shelved, docs/probe-teach-split.md §5); knowledge-graph context no longer reaches either agent. - Plan blocks are full-only snapshots at plan_init (neighborhood machinery retired; the persistent DAG window is the future UI wave); usage capture unchanged. Gates: tsc clean, 294/294 tests (phases/plan-tree/plan-blocks/question- tools rewritten to the new semantics; probe-done + handoff-wake tests added), lint, build. Live GLM smoke PASS: prober concluded with an honest assessment, teacher auto-woke, authored a 10-node plan with the block attached, then tagged checks on slope-instinct → secant derived current/ visited exactly as designed; grading honest both ways (driver off-by-one proved a wrong answer grades false). |
||
|
|
741ff416d6 |
Fix turn-usage keying: idempotent per request turn id, not messageId
Live smoke exposed two bugs in the turn usage log: - onFinish messages carry no ids (withMessageIds fills copies inside persistTurn), so fresh turns keyed messageId "" — provenance lost. - The SDK coalesces continuation turns into ONE response message (a whole probe conversation lands in a single assistant message), so per-messageId idempotency swallowed every continuation turn's usage. TurnUsage gains id: string (unique per request, the append idempotency key); messageId stays as transcript provenance, taken from the id-filled list. appendTurnUsage dedupes by id; continuation turns with the same messageId each keep their usage. |
||
|
|
c894697ab0 |
Fix activity-feed test flake: updateJob honors explicit patch.updatedAt; scoped test cleanup
Two-part root cause (found by the lh-ui stream + master together): (1) src/store/jobs.ts updateJob unconditionally overwrote updatedAt with now(), silently clobbering any explicit patch timestamp — JobPatch types it as patchable but the adapter ignored it, so order-sensitive tests rode on same-millisecond tie-breaking (failed ~4/5 in isolation). The store now honors patch.updatedAt ?? now() — semantics-preserving for every existing caller, which never passed updatedAt explicitly. (2) the activity-feed test's finally wiped the ENTIRE shared data/jobs dir — with node:test running test files as concurrent processes, that deletes other processes' live fixtures; cleanup is now scoped to the test's own created ids. |
||
|
|
9174cde55e |
Extraction observability: usage capture, live status payload, true abort (Wave 4)
Extraction is real spend and background work; the dock needs to see and stop it. User decisions: persist all cost data (chat record), per-stage usage granularity, and TRUE cancellation for abort. USAGE CAPTURE (live + persisted): - extraction.ts: per-call onStepFinish captures each billed step's usage (SDK LanguageModelUsage -> CallUsage: input/output/cache read+write/reasoning) into the registry's live per-stage usage (extractor/auditor; the merger is deterministic — no model call). - /api/graph/status runs now carry usage (model + steps per stage); cost/context folds are the consumer's (core/prices.ts — nothing stores dollars). - ChatRecord.extractions: append-only per-run usage log (mirrors the turns log): startedAt key, at, durationMs, merge stats when the merger ran, stages. Persisted on success AND failure — a failed run still spent money. Idempotent per startedAt; the list payload (ChatSummary) never leaks it. - EmissionStats moved to contracts/graph.ts (its contract home); core/graph.ts re-exports for existing importers. - Verified end-to-end against the real pipeline (backfill one chat): per-step token counts, reasoning tokens, and the auditor's growing prompt-cache reads captured and persisted. TRUE ABORT (the dock's abort button, user decision): - RunningExtraction owns one AbortController per run, shared across phases; abortExtraction(chatId) fires it and returns whether a run was aborted (idempotent no-op otherwise). The pending model call receives the signal — the provider cancels the request, spend stops. throwIfAborted() at phase boundaries ends runs aborted in sync gaps. - Abort is a deliberate stop, not a failure: same ledger discipline (nothing merged, nothing checkpointed, partial usage persisted) but the run reports zero emissions instead of throwing. Exported via src/server/observability.ts for master's /api/activity/abort route. - Tests: mid-run abort (hanging mock that rejects on the signal), live-accumulation + persisted-record assertions, store-seam idempotency, and the summary-payload leak guard. |
||
|
|
83a00800e9 |
Observability contracts: usage accounting, plan blocks, price table (Phase 0)
The 2026-09 observability wave's type-level foundation, landed before the streams so nothing renders against guessed shapes: - contracts/chat.ts: CallUsage + TurnUsage (per-model-call token accounting, one entry per teacher/wake turn keyed by messageId) and ChatRecord.turns — a DELIBERATELY parallel append-only usage log, not per-message metadata: the client re-POSTs its message list every turn and its copies never carry server-stamped fields, so anything inside messages gets clobbered by the next persist (the wave-3 merge-rule lesson). - contracts/chat.ts: PlanBlockData — the persisted data-plan-block part (full DAG on plan_init, one-level neighborhood on plan updates, snapshot semantics so history renders what was true then). - contracts/jobs.ts: JobUsage + JobRecord.usage — a sub-agent run's accumulated accounting, written by the runner. - core/ports.ts + store/chats.ts: ChatStore.appendTurnUsage — idempotent per messageId (abort replays / wake retries append once); listChats no longer leaks turns into the list payload. - core/prices.ts: PRICES + CONTEXT_LIMITS (generated from OpenRouter's published pricing via scripts/sync-pricing.ts) + pure folds: callCost, turnCost, sessionCost, contextWindow, jobCost. Unknown model or absent fields render as absent, never zero. - server/observability.ts: barrel-approved surface for the transport layer (fixes the import-law violation in the graph status route that slipped through the wave-3 merge verification). Capture wiring (agent onStepFinish -> persist seam, plan-block emission) lands next as master seam work; the streams start against these shapes. |
||
|
|
bdd9cac2b7 |
Node schema pivot: short name (label) + full-precision statement; description dropped
With real extracted data, full-sentence statements as canvas labels proved unworkable: 10-line label blocks, illegible overprint clusters, bottom-edge clipping. Per the user's 2026-09-08 decision: - GraphNode/ExtractedProposition gain `name` — a very short, glanceable label (glossary-headword style: "Will to power"), presentational only: not unique, not identity, never precise. Set at creation; link-appends never change it (first line defines; labels stay stable across sessions). - `statement` keeps its full precision and becomes the identity anchor; the detail card shows it under the name. `description` is dropped. - Extractor coins the name (freshest session context); auditor carries it through on create, rewording only clearly unglanceable names; linked propositions keep the existing node's name. - Renderer: canvas label = name; search matches name + statement; detail card = name (bold) + statement (muted). - Store guard requires name (pre-pivot node lines are skipped as legacy); vision.md node-schema bullet + amendments table updated (2026-09-08). |
||
|
|
b07c907ffd |
Graph redesign: true propositions, follows/supports, auditor-owned identity (vision §1 minimal implementation)
The minimal implementation of the 2026-09-02 graph vision (docs/vision.md §1):
- contracts/graph.ts: every node is a TRUE proposition (statement is both
rendering label and identity key; required description; no kind, no name).
Edges are follows (derivable) / supports (grounds without entailing) with
message-granular provenance points {chatId, messageId}. Events reduce to
correct/miss/dont-know plus observation (understanding notes); no taught
events, no misconception kind.
- extraction.ts: extractor is TREE-BLIND (transcript only, no plan tree) and
free-form; auditor sees findings + the current graph, owns faithfulness and
identity (link-or-create verdict per proposition, recorded as linkTo);
transcriptView tags every line with its message id (provenance anchors).
- core/graph.ts merger: applies verdicts deterministically — linkTo appends
a link line (phrasings join aliases, provenance unions; reads merge by id),
absent creates; NO string matching anywhere. Quiz events rebuilt from tool
parts with attribution-only nodeId resolution; understanding notes become
observation events (obs:<sourceId>); mapping lines are the verdict audit
trail and make re-merges idempotent.
- deriveNodeStates: transitional — latest quiz event wins (known/missed/
dont-know, else candidate); taught unreachable until the state-model
ideation lands.
- graph-context.ts + 50-graph-context.md: follows chains, hotspot grouping,
state vocabulary updated for the new event kinds.
- graph-view.tsx: node label is the statement; detail shows statement +
description.
- tests: merger verdicts (link, no-string-match, cross-chat assertions),
tree-blind pipeline end-to-end, follows vocabulary in context tests.
276/276 green.
|
||
|
|
1c3d288d08 |
Three-phase session status: derived summaries for the picker
- core/phases.ts: Phase3 (probe/plan/teach) + pure derivations — phaseOfTree (point-in-time, from the stored plan tree: no nodes → probe, no occupied node → plan, occupied → teach) and phaseAt3 (monotonic transcript fold for the dividers: failed plan_init never marks a seam; phase only advances). - contracts.ts: ChatSummary gains record-derived phase + pendingQuestion; ChatListItem adds liveness-merged busy. - store/chats.ts listChats computes the record-derived fields (tree + pending question scan). - api/chats route merges busy = turn running || running background job. Lane crossing granted by master: contracts/store/api (schema arbitration). Data-only inference: pre-plan planning reads as probe until the plan lands. |
||
|
|
2e4e43b8c4 |
Graph nodes gain a name; nodes are objective facts (no learner/session references)
Schema: GraphNode + ExtractedProposition carry 'name' — a short 2-6 word header, the rendering handle. Node theory made explicit: a node is an objective world-facing fact; the learner's relationship to it lives entirely in the event ledger (state labels are derived, never stored). Extractor + auditor instructions enforce it — misconceptions state the wrong idea itself as a claim, never 'the learner believes Y'. Legacy ledger lines without a name derive one from the statement on read. graph-view: labels use the name; the detail panel shows name as header and statement as body. |
||
|
|
af90fadcda |
Extraction pipeline: extractor → auditor → merger — the sole graph writer (stage 5)
The knowledge graph's write channel is now the pivot's target
architecture (vision §1 construction):
- src/agent/subagents/extraction.ts — the pipeline factory
(createExtractionPipeline({ chatStore, graphStore, extractor?,
auditor? }); models env LH_EXTRACT_MODEL ?? LH_MODEL):
* transcriptView(): the compact view both LLM stages see — final plan
tree with node ids, conversation verbatim, QUIZ lines with outcomes,
mark_done lines; job tool parts are one-liners, plan ops fold into
the tree line.
* Extractor: transcript → SessionFindings (propositions incl.
misconceptions and prose-only supports edges, attribution for
UNTAGGED probes, all with verbatim evidence) via one zod-validated
submit_findings call.
* Auditor: transcript + findings → the verified subset + drops (the
faithfulness net) via submit_review.
- src/core/graph.ts — emitChat/foldStaleChats/replayFinalTree retire;
mergeFindings() replaces them as the pipeline's deterministic apply
stage: exact/alias identity resolution (one mapping line per (chat,
graph node)), edge dedupe, and event rebuild FROM THE TRANSCRIPT's tool
parts — kinds/timestamps/refs/notes deterministic, the LLM's only event
say being WHICH proposition an untagged probe tested (retroactive —
the vision's open question #3, resolved structurally: tagged events
resolve deterministically; attribution rescues untagged and
tagged-but-unmapped ones; unattributable land null + question text).
pendingQuizAnswers() is the trigger helper.
- Trigger (turn-service.ts triggerExtraction, replacing the old
foldTurnIntoGraph body): once a chat accumulates
EXTRACTION.everyNQuizAnswers (LH_EXTRACT_N, default 3) new answered
quizzes, fire the pipeline async — single-flight per chat, failure
checkpoints nothing and re-runs on the next trigger. Deliberately a v1
placeholder isolated in ONE seam, trigger-agnostic pipeline.
- GET /api/graph is now a pure read (foldStaleChats gone).
- NodeMapping.treeNodeId → sourceId (the mapping key is now the writer's
local proposition id — tree node when tree-derived); store strict-read
schema updated. Local ledger data regenerates through the pipeline.
- Tests: graph.test.ts rewritten around mergeFindings (identity,
attribution paths incl. ghost-rescue, idempotency, cross-session
provenance, trigger counting), graph-context.test.ts merge section
converted to findings-driven, NEW extraction.test.ts — transcriptView
units + the full pipeline with mock models (audit drops, failure
checkpoints nothing, single-flight). 195/195, tsc/eslint/build clean.
Probe attribution (vision open question): probes attach retroactively by
the extractor against the whole transcript; a pre-tree probe maps to a
proposition the tree only articulates later. Fuzzy/embedding merge
adjudication stays deferred (conservative exact/alias only).
|
||
|
|
1167157c23 |
Storage ports: ChatStore/GraphStore/JobStore + adapters + core inversion (stage 3)
Per-entity semantic ports (src/core/ports.ts), one adapter family
(src/store/*, fs JSON/JSONL), exactly one composition point
(src/server/stores.ts). Dependency direction is now machine-checked:
adapters implement core interfaces; core never imports an adapter.
The inversion:
- core/graph.ts (emitChat/getGraph/graphSnapshot/foldStaleChats) is now
pure — it takes the storage ports as explicit parameters (GraphDeps).
No store imports; newGraphNodeId is local; node id format unchanged.
- core/graph-context.ts buildGraphContext() no longer defaults to the
live ledgers: the chat-handler hands in getGraph(graphStore) per turn.
- store adapters export exactly one object each implementing their port
(chatStore/graphStore/jobStore); bodies otherwise verbatim.
NodeMapping + SessionCheckpoint moved store/graph -> core/contracts
(they ARE contract shapes); CreateJobInit/JobPatch live in ports.
- titleFromPrompt moved store/chats -> core/contracts (pure helper,
planNodeStatus precedent). Store modules now contain persistence only.
- server/stores.ts is the composition root; server/{chats,graph,jobs}.ts
and chat-handler wire from it; agent (plan tools, sub-agent runner)
call the port objects. The shell surface (@/src/server exports) is
unchanged.
Lint law extended: the whole of src/core is now a purity zone (was a
file glob with a graph/graph-context exemption). Verified it fires on
core->store imports; tsc clean, 190/190 tests, eslint clean, prod build
clean (prerender 6/6). Tests pass deps explicitly — graph.test uses the
same fs-adapter pair stores.ts wires in production; graph-context.test
keeps its in-memory ledgers as a GraphStore implementation.
|
||
|
|
e92140f993 |
Shell/core import law: public API barrels + ESLint enforcement (stage 2)
The shell now imports through exactly two barrels, enforced by
import/no-restricted-paths (npm run lint):
components/** -> "@/src/core" (pure core API, browser-safe)
app/** -> "@/src/core" + "@/src/server" (server entries)
Zone violations are lint errors with architecture-pointer messages; the
pure-core modules (contracts, question-core, plan-tree, phases, pending,
math-delims, ui-message) may never import agent/server/store.
Supporting moves (direction: IO layers -> core):
- core/index.ts: the core public API barrel
- core/ui-message.ts: moved from src/agent (it was shell-facing all along)
- quiz/ask input zod schemas moved agent/tools -> core/question-core
(the question contract, alongside the grading logic)
- ChatRecord/ChatSummary moved store/chats -> core/contracts (single schema)
- GraphSnapshot/NodeStateClass moved core/graph -> core/contracts (the
/api/graph payload IS a contract; the pure renderer needs only these)
- src/server/{chats,graph,jobs}.ts + index.ts: thin server entries for the
transport layer; GET /api/graph's fold side-effect now lives behind
graphView() instead of inline in the route
Gates: tsc clean, 190/190 tests, eslint clean (law verified to fire on
store/agent/subpath violations), production build clean.
(Repo repair en route: a git object (app/chat/[id] tree) was missing from
the object store — reconstructed byte-exactly via mktree from its blob;
the broken node_modules that stalled the build was cleanly reinstalled.)
|
||
|
|
8728573253 | W4: graph store + emission + home graph view | ||
|
|
df16750560 |
W2: async job infra + researcher sub-agent
- src/store/jobs.ts: per-job JSON store in data/jobs (create/get/update/list, dedup by toolCallId) - src/agent/tools/jobs.ts: research tool — client-side (no execute), turn ends at the call; input per contracts ResearchToolInput - src/agent/tools/web.ts: server-side web_search (Google CSE) + web_fetch (Readability/Turndown/linkedom, Jina fallback) — errors return as strings, never thrown into the agent loop. Deps: @mozilla/readability, linkedom, turndown (+@types/turndown dev) - src/agent/subagents/researcher.ts: isolated ToolLoopAgent (web tools only, 12-step cap), researcher prompt ported from pi - src/agent/subagents/runner.ts: spawnPendingJobs hook + runResearchJob — fire-and-forget, activity line per tool call, fulfills the part in the LATEST chat record (output-available) before flipping job status; failure still fulfills the part so the teacher learns the outcome - src/server/chat-handler.ts: onFinish spawn hook after saveMessages - app/api/jobs/route.ts: GET ?chatId= polling endpoint - components/artifacts/job-card.tsx + registry entry: polling activity card (2s) → syncFromServer on finish; research-brief card (markdown + sources) - src/agent/prompts/20-jobs.md: research doctrine for the teacher - tests/jobs.test.ts: store CRUD, spawn hook via scripted mock teacher, runner completion/failure with fake model + stubbed fetch |
||
|
|
c55bae0de6 |
Wave 0: shared contracts + extension points
- src/core/contracts.ts: plan tree / graph / ledger / job protocol / artifact
registry types — the single source of truth for all workstreams
- tools: per-request factory createTeacherTools({chatId}) composing
questionTools + planTools (stub) + jobTools (stub); quiz gains nodeId
- prompt composition: system-prompt.md + sorted src/agent/prompts/*.md
- ChatRecord.tree + saveTree; pending gate scoped to quiz/ask (+findPendingJobCall)
- chat.tsx: artifact renderer extension point + ChatActionsContext.syncFromServer
|
||
|
|
a72c902d30 |
v3: AI SDK pivot — pi removed, Next.js 16 + AI SDK 7 + AI Elements teacher app
The teaching agent no longer runs on pi. Stack: - ToolLoopAgent (ai@7) + OpenRouter (OPENROUTER_API_KEY), model via LH_MODEL, default anthropic/claude-sonnet-4.5 with reasoning tokens - quiz/ask_user_question = client-side tools (no server execute): the call lands as a typed tool part in input-available state; the card grades via src/core/question-core.ts; addToolOutput sends the verdict; the teacher's reaction continues the same assistant message - resume-mid-quiz is free: the pending tool part persists in the transcript - persistence: one JSON per chat (data/chats/), full UIMessage transcripts, saved onFinish (also on abort) - UI: AI Elements (owned copy-paste components, pruned to the five in use) + button-based QuizCard/AnsweredCard (ask answers never graded) - pi fully removed: TUI, extensions, Fastify+WS server, bridge, custom protocol all deleted (recoverable from git history) - tests: question-core units carry over; chat-flow integration drives handleChatRequest with MockLanguageModelV4 (48 tests, zero tokens); render smoke tests guard the cards (renderToStaticMarkup) Carried over unchanged: teacher system prompt, question-core, schema/ ledger/derive/extract pipeline, data model. |