8675b19bef1868d4b3ddd32166a7de4a896a3939
30
Commits
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d85d8a58a0 |
fix(tools): wire the searchAvailable gate + research/pdf in the probe phase
Fix wave (2026-09-20), two owner-approved fixes: Fix 1 — the searchAvailable gate was dead code on the live wiring path: createTeacherTools RECEIVED ctx.searchAvailable but dropped it when building the inner JobToolContext, so jobTools' research gate always took its ?? true default (jobTools-direct tests passed; the production path never saw the signal). Threaded through — the gate now reads the live server signal on the teacher registry too. Fix 2 — the prober registry gains the research + pdf dispatch tools (owner ruling, 2026-09-20): these two are phase-omnipresent — the prober can verify facts or read learner PDFs while assessing. demo/visual stay teach-phase-only (they need the lesson's plan context). Same gating as the teacher side: toggle-filtered, research subject to the search gate (honestly absent when no engine is live — the prober's dispatch closes over the SAME jobTools builder, one gate, one semantics). probe_done stays always-on-by-construction; the learner-fs set untouched. - ProberToolContext (extends ProbeDoneContext with the job wiring); createProberAgent takes it; chat-handler injects jobStore + spawn + searchAvailable into the prober ctx. - TeacherToolContext.spawn's stale input union fixed (PdfInput was missing from the TYPE — runtime already passed it). - Tests: the threaded-gate describe in web-search.test.ts pins the LIVE factory path both ways (teacher + prober); question-tools' registry key-sets gain research/pdf; the prober toggle test pins the research:false path. Gates: typecheck, 807/807 tests, lint, build — all green. |
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372d7f9975 |
feat(extraction): stage engines resolve the slot chain — engineFor on the pipeline
Chunk B, item 3 of the search port + slots wave (2026-09-20): the flagged gap closed — ExtractionModels deps were engine VALUES, keeping extractor/auditor/labeler config-pin-bound while the job runner went slot-native. The pipeline now takes the runner's exact treatment: - ExtractionPipelineDeps.engineFor: (role) => PiEngine — resolved FRESH per stage call, so a settings PUT between stages lands. Direct test values (extractor/auditor/labeler) remain the priority seam, checked FIRST; absent values fall to the chain; absent chain → config pins (unchanged). - All six stage call sites (chat + notes extract/audit, the cluster namer x2) resolve through stageEngine(role, direct). - chat-handler's extraction composition injects the full chain — piEngineForSpec(resolveRoleSpec(role, readSettings(), MODEL_PINS)) — same wiring as the job runner. Chunk B, item 4 (session-level slot-anchored model picks): VERIFIED already complete from Platform's model-slots wave — the conversation engine chain (chat-handler) anchors on effective.models.strong, the picker's default surface (catalogDefaultsFor) falls back to strong, both pinned in tests. No phase split (user decision, 2026-09-20). Capability-filtered pickers live in the settings UI (main 343be10). Tests: engineFor fills the stages end-to-end (both propositions merged through the chain, consulted in pipeline order) + the direct-value priority pin (engineFor that throws when consulted). Gates: typecheck, 795/795 tests, lint, build — all green. |
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ed264c936d |
feat(search): web_search onto the injected port — Google CSE retired, research honestly disabled
Chunk A of the search port wave (2026-09-20), per master's assignment: - web.ts: the Google Custom Search backend is gone — web_search now runs on the core search port (SearchProvider), injected as a dependency (import law: the tool never imports server code). createWebTools(search) resolves the LIVE provider fresh per call; null = the honest unavailability string (no silent fallback, owner decision). web_fetch unchanged (needs no engine). - runner: JobRunnerDeps.searchProvider — the server composition threaded into the researcher; jobs already in flight when a key disappears still fail honestly through the same seam, never crash. - jobTools: the research dispatch tool DROPS from the teacher's registry when ctx.searchAvailable() is false (owner decision: registry-level drop — the model never sees the tool, no doomed dispatch, no error card). Absent seam = available (tests). chat-handler injects server/searchAvailable + searchProvider. - tests: stubFetch (the Google wire stub) retired; jobs.test.ts threads a recording stub provider through all four research runners and asserts the scripted query hit the port; new web-search.test.ts covers the factory contract (null → honest string, hits, error strings, fresh resolution, web_fetch independence) + the registry drop matrix. Gates: typecheck, 793/793 tests, lint, build — all green. |
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f9e3a4c43d |
feat(models): strong/cheap/vision model slots + multi-provider engine federation
Model slots wave (2026-09-20), chunk B:
- settings: new `models` section {strong, cheap, vision} slots (each
field independent, same shape as a role override); ROLE_SLOT maps all
nine roles to tiers (strong=prober+teacher, cheap=researcher/
demoBuilder/extractor/auditor/labeler, vision=visualMaker+pdfReader);
resolution chain per role: override → slot → factory pin.
- config: ModelSpec gains provider (all pins openrouter, the BYOK
default); MODEL_PINS in stores.ts now spans all nine roles (the strong
slot's factory rep IS the prober pin).
- engine: piModels() registers EVERY builtin provider catalog;
piEngineForSpec(resolved spec) is the new engine factory (pi-ai
resolves per-provider keys from env itself); piEngineFor stays as the
config-pin fallback. chat-handler resolves the conversation chain
(chat override → strong slot → pin) and injects engineFor into the job
runner, closing the old gap where per-role overrides never reached
job engines.
- /api/models: models federate ONLY keyed providers (providers surface
with keyPresent, env-wins, fresh per call); slots (resolved tier pins)
join rolePins; catalogDefaultsFor inherits the strong slot; the models
settings section gets the same catalog gate as chat.
- pricing: PRICES/CONTEXT_LIMITS uniformly keyed provider:id
(regenerated from ALL pi-ai catalogs, 1354 keys); usage stamps
(TurnUsage, JobUsage, extraction stages) switch to provider:id —
owner decision: no legacy compat, old stamps render unpriced.
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524bf6024a |
feat(prompts): composeInstructions honors overrides — the P2 segment reconciliation
The other half-wired seam: Platform's settings 'agent.prompts' switches had no consumer in the agent layer, and their effectivePromptSegments mirrored the PRE-sources-v1 loader — the shared/ fragments dir (the learner-files doctrine) was invisible to it, so a naive delegation would have silently dropped the segment from both agents' prompts. - src/core/prompt-segments.ts (NEW, pure): the mirror-layout path grammar + segment types, defined exactly once; core stays zero-IO. - src/agent/prompt-segments.ts (NEW, the CANONICAL discovery): base + shared/ + per-agent fragments, override resolution, allSegmentPaths. Composition is an agent concern; the agent layer reads its own tree (the architecture law pins agent and store apart — the first direct refactor attempt tripped the enforced import/no-restricted-paths zone, hence the three-layer split). - src/store/prompt-overrides.ts: slimmed to the override-file CRUD behind the core port; shares the core grammar. Its doc no longer claims to be the canonical mirror. - teacher-agent: composeInstructions(kind, switches?) composes through effectivePromptSegments — a segment whose switch is ON and whose override file exists composes the override text. Switches-less calls use the cached pure-source composition (byte-identical to the old loader, pinned by test); AgentBuildOptions.promptSwitches threads effective.agent.prompts per turn, composing fresh so override-file writes flip the very next turn. - server barrel: re-exports the agent module's resolution for the settings routes (server→agent, the lawful direction). Tests: byte-identical source pin, override swap-in (on/off/file-absent), shared/ overridability in both agents, agent-construction threading, updated segment-list pins with shared/ in composition order. This file keeps owning PROMPTS_OVERRIDE_DIR (parallel-test discipline). Gates: 671/671, typecheck, lint, build. |
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6c42393e42 |
feat(tools): the P2 toggle bridge — toolToggles first-class, definitive vocabulary
Reconciliation of the diverged tool-toggles seam (2026-09-19, master's P2): Platform injected the resolved delta as an ad-hoc intersection on AgentBuildOptions while the factories' enabled? param sat unread — the seam was inert on both sides. - teacher-agent: AgentBuildOptions gains toolToggles?: EnabledTools; both constructors thread it to the factories (createTeacherTools / createProberTools). An explicitly injected opts.tools registry is never filtered — the caller owns it. - Vocabulary ADJUDICATED with the user (2026-09-19): TOGGLEABLE_TOOLS is the definitive list — the job tools only (research/demo/visual/pdf). quiz/ask_user_question stay always-on forever (the prober's flow is graded-quiz brackets -> probe_done; quiz-off collapses assessment and teaching doctrine is built on graded verification — the wedge danger); the learner-fs set, plan tools, and probe_done also always-on. - settings-body (write side): unknown tool keys reject with 400 + the supported list, mirroring the prompt-switch validation; the read-side sanitizer stays lenient for forward-compat. - chat-handler: the intersection is gone (field now first-class) and the seam comment states the adjudicated vocabulary. Gates: typecheck, 28 new/updated tests green (tool-toggles-bridge, question-tools, settings-body), chat-flow + settings suites green. |
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cb4fe25c89 |
wave 2 (platform stream): settings storage & plumbing foundation (P2)
- src/core/settings.ts: versioned DELTA record schema + sanitizer (unknown keys preserved)
— general/chat/agent{models,tools,prompts}/appearance/graph sections
- src/core/settings-resolution.ts: pure resolveSettings (factory defaults → user delta),
extraction/graph-context channel predicates
- src/store/settings.ts + prompt-overrides.ts: SettingsStore/PromptOverrideStore adapters
wired through stores.ts (effectiveSettings() fresh per call); lazy migration of
default-settings.json into record.chat
- app/api/settings/** routes (record, section bodies, prompt overrides per segment)
- chat-handler: graph gates at trigger call-sites + toolToggles injection seam
- config.ts: SETTINGS_FILE + PROMPTS_OVERRIDE_DIR paths
587/587 tests; typecheck/lint/build clean
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597b3f43e1 |
fix: wake-turn steer delivered twice — claimSteers re-claimed the steer the pump's request already carried
The wake pump fires its turn with the steer INSIDE the request body but dequeues the queue entry only after the turn returns 200 — so the entry is still queued when the handler claims. The record doesn't carry the steer yet (write-ahead persist hasn't run), so claimSteers claimed it a SECOND time and the handler appended it: outgoing = [...body, ...claimed] held two copies of the same deterministic steer id, and the write-ahead persist saved that for the whole wake turn. The client's adoption poll rendered both -> React duplicate-key warning (steer_ctx_<chatId>). withMessageIds deduped only at onFinish, so the final record looked clean. Fix: claimSteers(chatId, incoming) — a queued steer whose id is already in the turn's incoming list is being delivered BY this very turn: finalized and resolved, never appended again. |
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31978f3fc3 |
fix: background-delivery ground rules — the dock is the source of truth, delivered content shows the moment it persists
The owner's three-part test of the context-injection flow surfaced
timing/visibility bugs, fixed as standing ground rules for ALL background
processes (owner rules, 2026-09-15):
1. THE JOB STARTS AT SEND. triggerGraphContext moves from onFinish to
right after the write-ahead persist in handleChatRequest: its only
input is the first typed message (the topic), just made durable — so
embedding + cosine scan run CONCURRENT with the prober's turn and
the dock blob appears the moment the session starts, not after turn
one finishes. Extraction stays at onFinish (it needs answers
accumulated DURING the turn).
2. DELIVERED CONTENT SHOWS MID-TURN. Steers inserted server-side
(claimed at turn start, persisted write-ahead) used to wait for the
next turn's completion to appear — the full record sync mid-stream
is forbidden (it breaks the SDK's in-place continuation merge), so
adoption was deferred to idle. New append-only seam: core
mergeAdopted() inserts the record's new message ids in canonical
order (in-flight streaming tail kept last) and never rewrites a
local message; any other shape bails to the full-sync-at-idle net.
Wired at three points, no new standing polls:
- turn-start window: three bounded record fetches (400ms/1s/2s)
after a send catch the claimed steer while the turn streams;
self-terminating, survives the submitted->streaming flip.
- jobs-poll settle: mid-turn settles adopt append-only NOW, the
owed full sync still runs at idle.
- wake-adoption poll: each tick adopts persisted wake content, so
steers show at the wake turn's START, not its finish.
The dock stays honest with zero gap: jobs hold "running" while
queued behind a pending question ("delivering context"), then flip
done at claim/delivery — visible from start to delivery, and the
turn-start nudge (useActivity().refresh) clears it within ~150ms.
3. THE MARKER IS CLICKABLE (observability). The knowledge-context
SystemLine becomes GraphContextMarker: quiet line, popover with the
delivered propositions IN DELIVERY ORDER (most similar first — the
order the budget filled), each with its folded understanding level;
Esc / outside pointerdown close. The part data was already the audit
trail — now it's readable at the seam where it landed.
Tests: mergeAdopted unit pins (6), marker render pins (3) — 468/468,
tsc, eslint, build all green; live-smoked end-to-end: blob at send,
marker at t+500ms mid-turn, popover order + levels, instant dock clear.
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1d45d77303 |
feat: graph context injection — the session's prior knowledge, steered in at session start (vision-context-injection.md)
One shot per chat, fired at the first turn's onFinish: the session's topic (its only typed message) is embedded as an EmbeddingGemma retrieval query; the semantically closest graph propositions are selected under the session's token budget (pure budget, no similarity threshold — the decided doctrine) and delivered as a marker-only steer through the wake pipeline, queuing behind pending questions like every sub-agent result. - contracts: ChatSettings.graphContextTokens (default 1024, max 4096, step 128, 0 = off); GraphContextData + graphContextText; the graph-context JobKind + buildGraphContextSteer (id steer_ctx_<chatId>) - core/graph-context.ts: brute-force cosine top-K, greedy chars/4 fill under budget, most-recent UnderstandingLevel fold, count cap 64, parse-don't-cast at the marker seam - server: embedQuery (role-asymmetric query format, same warm singleton — vector-space parity by construction); the runner (startGraphContext- Injection one-shot gates; runGraphContextJob validates ledger parity); wake branches (chatIdOf/jobIdOf, finalizeJob done, recoverStaleJobs re-deliver or contextRespawn); abortJob kills context jobs SILENTLY (nothing was promised in the lesson); turn-service trigger seam - adapter: data-graph-context flattens to the canonical block (malformed parts have no model face) - UI: the budget slider (home dock + /chat/new draft, the session-data strip); the quiet SystemLine "~537 · 10 propositions"; dock kind "Knowledge context"; model-picker PUT now spreads settings (a model pick can no longer clear the sibling override) Live-smoked end to end on the real embedder + real GLM: seeded ledger (10 propositions), session on "modal logic: possible worlds and the necessity box" — job in the dock, queued behind the prober's question, delivered on the answer, SystemLine in the transcript, wake turn reads the block and continues the probe. Gates: tsc, lint, 459/459, build. |
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f5edc7f0a5 |
Semantic topic clusters: local embeddings replace Louvain
Louvain only ever found the reasoning chains (the graph is disconnected by nature — every connected component became its own cluster) and edge-orphans could never join anything. Clusters are now RELATED TOPICS: propositions grouped by meaning. - Embedder (src/server/embeddings.ts): in-process transformers.js v4 running EmbeddingGemma-300M q8 (MTEB 68.4, ~300MB one-time download), MRL-truncated to 512d, "title: none | text:" prefix on 100% of inputs, L2-normalized so cosine = dot. Model/dim mismatch voids the ledger (full re-embed). Injected at the composition root — the agent layer never imports the server layer (architecture law). - Ledger (data/graph/embeddings.json): model + dim + vectors + the persisted cluster partition. Reclustering runs at the END of every embedding batch (post-merge hook, both front doors) — never per read (the agglomerative pass is ~1.5s at 338 nodes). - Clustering (src/core/semantic-clusters.ts): hand-rolled average-linkage agglomerative over cosine (npm HDBSCAN is an abandoned alpha). Stragglers stay singletons by default; attachStragglers is the all-in toggle. Threshold 0.60 swept on the real graph: 26 topics, 74/90 edge-orphans land in real topics, 10 stragglers. - Consumers (snapshot, settle, namer, replay) read the persisted partition — one cluster concept everywhere; core-survival label matching unchanged (20/26 topics kept labels). - Louvain retired: detectCommunities + graphology* deps deleted (graphology-louvain had leaked into the client bundle since the clusters wave); scripts/bench-graph.ts (dead FA2 bench) removed. - scripts/embed-graph.ts: backfill/cold-start (338 nodes in 150s including the one-time model download). |
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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.
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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.
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2d717fd932 |
Swap the server engine to pi-ai/pi-agent-core (Band B+C of docs/pi-engine-swap.md)
The Vercel AI SDK survives only as Band D (useChat client + UIMessage
record types); @openrouter/ai-sdk-provider is uninstalled.
- src/agent/models.ts: PiEngine {model, streamFn} via createModels +
openrouterProvider subpath; thinkingLevelFor maps config effort none->off
- src/agent/lh-tool.ts: neutral LhTool (zod authoring, optional execute,
clientQuestion flag); toPiTool converts via z.toJSONSchema and re-runs
zod inside execute so refinements ride the error-result retry path
- src/server/pi/record-adapter.ts: UIMessage records -> pi Messages
(dangling tool calls get synthesized interrupted results)
- src/server/pi/ui-stream.ts: SSE bridge emitting AI-SDK-shaped chunks so
the useChat client parses unchanged (continuation id rule, question
tools never emit output, tool-input-error for bad authoring)
- teacher-agent.ts: stateless per-turn pi Agents; shouldStopAfterTurn
stops only when every question-tool call resolved cleanly (errors retry)
- chat-handler.ts: buildAgent(outgoing) factory seam (stateless doctrine);
assertValidUiMessages owns the retired SDK validation gate
- sub-agents via shared runSubagent (pi-run.ts); extraction stages stop
after a clean submit; visual-maker keeps its hand-rolled loop over
direct streamSimple calls; aborted model calls bill no usage
- tests: all model seams ported to pi-ai faux provider (scripted
FauxResponseSteps, agent factories); handleChatRequest second param
is now an agent factory
Gates: tsc, lint, build, 305/305. Live GLM smoke (disposable driver,
deleted): prober streaming + persistence, question seam, turn-2
continuation same message id, per-turn real token usage - ALL PASS.
Data wiped at the pivot (chats/graph/jobs, .gitkeeps kept).
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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). |
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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. |
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f4abad3f15 |
Master seam: plan-block emission + turn usage capture
- src/core/plan-blocks.ts: pure emission builder — full block on successful plan_init, neighborhood block when the derived plan state moved since the newest existing block; the as-of state reads from the block's frozen snapshot (transcript quiz parts mutate in place on answer, so re-derivation is post-mutation blind). Idempotent by construction. - turn-service persistTurn enriches with withPlanBlocks at the canonical write; chat.tsx adopts the record once the server agrees the turn is done (endTurn flips only after persist). - chat-handler: per-request usage collector via agent-level onStepFinish (StepResult.usage), appended at onFinish to ChatRecord.turns via appendTurnUsage, idempotent per response message id. |
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e33b83ca2d |
fix: steer-delivery starvation — continuation coalescing (claimSteers)
The bug (seen live): a teacher that ends every turn with a new pending quiz keeps the wake pipeline's idle gates permanently closed — the steer sits in 'delivering result' forever while the learner answers check after check. - claimSteers (server/jobs.ts): the chat-handler claims every queued, undelivered steer the instant a client turn wins the turn registry, and appends it after the learner's answer — conversion-safe, the answered quiz carries its output. Every answer flushes pending steers immediately. - The pump keeps its post-idle duplicate-guard (re-check steerDelivered before firing), so a claim racing the pump converges to exactly one delivery either way. - The stale-job sweep now skips chats with a turn in flight (a healthy but slow wake no longer gets falsely re-queued as 'recovering'). - Out-of-lane surgical touch (flagged for master review): the 3-line handleChatRequest seam (claim after beginTurn, persist+stream 'outgoing'). - Verified live end-to-end on the stuck session: answering the pending quiz fired the steer + wake turn within a second; job flipped done/delivered. |
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99fa3f0847 |
Pi-style ack-and-steer sub-agent protocol: dispatch mid-turn, steer via server wake turn
The job tools (research/demo/visual) switch from client-side turn-breaking calls to pi's model: execute resolves IMMEDIATELY with a fire-and-forget ack, the teacher's turn continues, and the result arrives later as an injected user-role steer message that wakes the teacher in a new server-side turn. - contracts.ts: THE ASYNC PROTOCOL rewritten (ack now, steer later); steer types (SubagentSteerMessage, metadata.subagentResult + data-subagent- artifact part), pure buildSubagentSteer/steerDelivered/isSubagentFailure - tools/jobs.ts: jobTools(ctx) factory — server-side execute creates the job (deduped by toolCallId), fires spawn with the dispatch-time input (the part isn't persisted yet at execute — a transcript scan would race) - runner.ts: runJob(jobId, input?) builds the steer and hands it to the injected deliver seam; pipeline owns the done/error flip (a polling client re-syncs once, at the end); failures still steer - server/jobs.ts (new pipeline): per-chat serialized queues on globalThis, idle gates (turn liveness + pending question, 1.5s grace), 409 retry with backoff, idempotent per jobId, stale-job recovery sweep (re-deliver or re-spawn); wake turns run through the same handleChatRequest composition via setTurnRunner injection - chat-handler.ts: wires runner+deliver+tools ctx; drops spawnTurnJobs from onFinish; teacher default registry = question tools only - plan.ts: PlanToolContext split out (plan tools need no job wiring) - visual-maker: edit_svg added (pi parity — exact-match single replacement, fuzzy context on a miss); researcher: pi's kept/dropped source accounting restored - prompts 20-jobs/40-demos: async discipline rewritten (announce and keep teaching, no waiting/polling/fabricating, parallel dispatch, teach with the artifact when it arrives) - tests: jobs.test.ts rewritten (dispatch ack mid-turn, runner steers, wake pipeline: deferral/409/idempotency/failure), demos.test.tsx runner tests ported to runJob + fake deliver; 222 green FLAGGED surgical touches outside the stream's owned files, for master review at merge: src/core/contracts.ts (protocol doc + steer types), src/core/ui-message.ts (job tool + data-part types), src/server/ chat-handler.ts (wiring), src/server/turn-service.ts (spawnTurnJobs retirement), src/agent/teacher-agent.ts (default tools), src/agent/tools/ plan.ts (context type split). Verified live on PORT=3003 with real models: teacher dispatched research mid-turn, researcher ran real searches/fetches, steer injected on quiz answer, wake turn wove the brief in citing its sources, job flipped done; a client/wake race correctly 409'd. |
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a7ca33548b |
Sessions keep running across navigation: turn liveness + write-ahead persist
The bug: answering a quiz and navigating away mid-turn, then returning, re-prompted the same question. Root causes: (1) the answer was durable only at onFinish — every mid-turn view read the stale pre-answer record; (2) the server had no notion of a turn in flight; (3) remount treated the stale record as current, with no re-attach path. Worse, the stale dock let the quiz be answered again, racing two turns into a last-writer-wins saveMessages clobber. Fix (four pieces): - Write-ahead persist in chat-handler: the request body IS the client's canonical state — saved to disk BEFORE the stream starts. The answer is durable the instant the request arrives; crashes recover via the existing mount continuation. - Turn liveness registry (src/server/turn-liveness.ts): in-memory chatId → in-flight map with a TTL leak guard; beginTurn rejects concurrent turns (409) so one turn ever owns a chat. endTurn runs in onFinish AFTER persistTurn, so pollers that see not-in-flight always read a finished record; a turn-start failure clears the registry (no lockout). - GET /api/chats/[id] reports turnInFlight; the chat page passes initiallyInFlight to the client. - Client re-attach (components/chat.tsx): while in flight, busy shimmer + composer gated + mount continuation suppressed; poll /api/chats/[id] until the turn finishes, then syncFromServer adopts the completed transcript. Stop stays local-stream only (a server turn has no client request to abort). Verified by scripted-model tests: concurrent turn 409 + registry lifecycle, write-ahead durability mid-turn, failed-turn lockout guard. |
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5dab8d12d4 |
Quiz hardening: cross-field schema validation rejects ungradeable quizzes
quizInputSchema now enforces (via pure quizInputProblems + superRefine) that correctAnswer resolves against option values, options are non-empty and unique, and multi-answer requires multiSelect — schema-valid now implies gradeable. The AI SDK already returns invalid tool input to the model as a tool-error part (verified in ai@7 run loop), so the teacher retries in the same turn. chat-handler onError passes tool-input validation messages through to the client (masked 'An error occurred.' for everything else). Covers the Gate 3 GLM failure: correctAnswer slug matching no option. |
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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).
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59e1fee850 |
Turn services + agent DI: chat-handler becomes the composition root (stage 4)
The chat turn is now composed, not implemented, by chat-handler.ts:
- src/server/turn-service.ts: one named, error-contained seam per turn
responsibility — buildTeacherContext (W8 read channel), persistTurn
(canonical state write), spawnTurnJobs (async protocol kick-off),
foldTurnIntoGraph (session→graph consolidation; the extraction-pipeline
stage swaps this body behind the same seam). Each takes its deps
explicitly; failures log one [chat <id>] line and never touch the
response.
- chat-handler.ts wires: storage ports (stores), the job runner, the
teacher tools (ctx = chatId + injected ChatStore), and the services.
It no longer contains any logic beyond request validation.
Agent layer now receives dependencies instead of importing them — a new
lint zone enforces it (src/agent never imports src/server or src/store;
verified to fire both ways):
- runner.ts: createJobRunner({ chatStore, jobStore }) factory returning
the spawn hook + the three job runners; the model-override test seam
stays module-level. Bodies otherwise verbatim.
- plan tools: persist through the ctx-injected ChatStore
(TeacherToolContext = { chatId, chatStore }).
- teacher-agent's dependency-free default registry is now the true
client-side set: questionTools + jobTools (jobTools was ctx-parameter-
shaped but never used its ctx — now honestly context-free). Production
always passes createTeacherTools({ chatId, chatStore }); tests that
drive a bare mock model get the client-side set unchanged.
Zero behavior change: tsc clean, 190/190 tests, eslint clean, production
build clean. Tests inject the same fs ports the chat-handler does.
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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.
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806e1405d5 | W8: graph-as-context injection + exact-match merge | ||
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db833a3537 | Wave 2 integration: deps manifest (sigma, graphology, puppeteer-core), test-run emission guard | ||
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8728573253 | W4: graph store + emission + home graph view | ||
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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 |
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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
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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. |