Commit Graph

13 Commits

Author SHA1 Message Date
RaymondVerhoef
9395ea11fe fix: bescherm excluded en locked topics tegen AI-deletion/merge
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Topics met learning_relevance="exclude" of relevance_locked=true werden
door de Full Analysis stilletjes verwijderd: het model zag exclude als
"irrelevant" en stelde ze voor in actions.deletions / actions.merges,
en analyzeGraph paste die zonder filter toe. Het locked-vlaggetje werd
in full-scope payload niet eens meegestuurd, dus zelfs een nieuwe prompt
kon niet helpen.

Defense-in-depth fixes:

1. Pure graphGuard.filterAiActions strips elke deletion/merge waarvan de
   target excluded of locked is, vóór bulkSave. Merges waarin een
   protected topic juist de keepId is (canonical survivor) blijven door.

2. SYSTEM_PROMPTS.full krijgt een expliciete "PROTECTED TOPICS" sectie
   die exclude en locked topics als nooit-te-verwijderen markeert.

3. relevance_locked wordt nu ook in de full-scope compactTopics payload
   meegestuurd, zodat het model de vlag überhaupt ziet.

4. UI-feedback: GraphControls toont een ShieldCheck banner met aantal
   geblokkeerde acties na de analyze, en het excluded-aantal naast de
   "Show Excluded Nodes" toggle (visible/hidden).

5. 13 nieuwe Vitest cases dekken protected detection en alle drop/keep
   paden van filterAiActions.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-06-04 08:22:12 +02:00
RaymondVerhoef
2274de4de7 fix: stop warning about merged themes in curriculum schedule
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When the KB has more than 26 themes the curriculum AI is required to
merge — so theme labels not appearing as week names are expected, not
warnings. The previous validation surfaced this as a console.warn that
read like an error in the learning station console.

- validateSchedule now only flags missing theme labels when themes_kb <= 26
- adds a real coverage check: warns when learning topics are absent from
  every week (the actual signal we care about)
- adds vitest coverage for both behaviours

Closes #12

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-06-03 22:05:34 +02:00
RaymondVerhoef
43a71e2110 feat: on-demand topic tests with shared question bank
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Adds a /topic-test route where learners can take a 5-question test on any
eligible topic at any time. Questions come from a shared, admin-curated
question_bank — no LLM calls on the user path. Points feed the existing
leaderboard with a 10pt/topic/week cap (per ISO week) so the bank can't be
farmed, and repeats from a thin bank yield 0 points.

- New PB collections: question_bank, on_demand_attempts (+ migrations and
  setup-pb-collections.mjs entries).
- db.js: un-deprecates getQuizBank/setQuizBank against question_bank so the
  existing admin TestManager panel becomes functional again; adds
  saveOnDemandAttempt, getOnDemandPointsThisWeek, getUserSeenQuestionIds,
  getAllOnDemandAttempts, isoWeekKey.
- testService.js: getEligibleTopicsForOnDemand, startOnDemandTest (unseen-
  first draw), finishOnDemandTest (cap enforcement + leaderboard upsert).
- New TopicTest page, route, and nav entry; weekly test flow untouched.
- Leaderboard folds on-demand 100%s into perfect-score count and merges
  on-demand attempts into the recent activity feed.
- Spec: docs/on-demand-tests-spec.md with ADRs and extension points.
- Tests: 5 new vitest cases covering eligibility, draw fallback, scoring,
  partial cap, and exhausted cap (85/85 total).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-06-02 15:06:43 +02:00
RaymondVerhoef
a653812cd8 feat: implement micro-learning generation service and UI components for interactive topic-based learning
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2026-05-25 22:17:26 +02:00
RaymondVerhoef
7164317908 feat: implement quiz generation service with topic selection, LLM integration, and question bank management 2026-05-25 22:08:18 +02:00
RaymondVerhoef
3c04bab1b9 fix
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2026-05-25 21:38:53 +02:00
RaymondVerhoef
7b6ae265db feat: implement pbUpsert helper for streamlined database operations and update related functions 2026-05-22 19:56:23 +02:00
RaymondVerhoef
ca8945ea5b refactor: remove handbook sync state and related functionality
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2026-05-22 19:45:14 +02:00
RaymondVerhoef
229246f7b6 feat: phase 5 of AI pipeline hardening — R42 retrieval & telemetry
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- Add dependency-free TF-IDF retrieval (src/lib/retrieval.js) with NL+EN
  stopwords and a WeakMap-cached index.
- Rewrite buildKbContext to ship the top-K relevant topics + verbatim-
  mentioned ids only, filter relations to the included set, and append a
  [kb_hash: <8 hex>] suffix so the ephemeral prompt cache busts when the
  graph changes. Returns { context, retrievedTopics, allTopics }.
- Add LOOKUP_TOPIC_TOOL and drive useChat through callLLM directly with a
  multi-hop tool_result loop capped at 3 hops; preserve Anthropic-provided
  tool_use ids through callLLM so the loop can echo correct tool_use_id.
- Truncate R42 history to the last 12 turns and prepend a single
  "(earlier conversation truncated)" assistant message.
- Set R42 chat defaults: temperature 0.3, maxTokens 2048.
- Add pb_migrations/1780500002_created_llm_calls.js (the best-effort
  logger in callLLM was already wired) and a new Admin → Diagnostics
  view showing the last 100 calls with token usage, cache-hit rate, and
  USD cost from a local Anthropic price table.
- Finalize AI_PIPELINE_HARDENING_PLAN.md: mark Phases 1–5 shipped and
  Phase 6 (eval harness) explicitly out of scope.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-20 21:36:40 +02:00
RaymondVerhoef
66e0c275da feat: phase 4 of AI pipeline hardening — quiz & content quality
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- src/lib/random.js: Fisher–Yates shuffle/sample/pickInt; replace every
  biased .sort(() => 0.5 - Math.random()) site in testService.
- testService: debias correctIndex via prompt + runtime re-roll (up to 2x
  when one position holds >50%); quality gate rejecting <4 distinct
  options, banned filler ("all of the above" etc) and explanations
  shorter than 20 chars; dedup new questions against the existing bank
  via normalised question text.
- Quiz schema/tool/prompt require difficulty ('easy'|'medium'|'hard');
  db.getQuizBank defaults legacy records to 'medium' on read.
- learningService.generateCustomTopic: kebab-case slug ID from the
  polished label with collision suffixes; default learning_relevance
  'standard' when the model omits it.
- Tests for random helpers, dedup/quality-gate behaviour and the
  extended quiz schema.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-20 19:22:10 +02:00
RaymondVerhoef
aeb197d5f4 feat: phase 3 of AI pipeline hardening — extraction quality
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Replace stateless one-shot extraction with a stateful, paced, cancellable
pipeline. Six subtasks:

- 3.1 Sentence-aware chunking with 800-char overlap (was paragraph-only
  at 4000 chars). Hard-split fallback for runaway sentences.
- 3.2 Stateful extraction: chunks 2+ receive an "already-extracted topic
  IDs" hint capped at 200 IDs, so the model reuses IDs instead of
  inventing variants like software-developer vs software-engineer.
- 3.3 Token-bucket limiter in llmRetry.js (extractionLimiter, 5 req/min).
  callLLM awaits the limiter before fetch; 429+Retry-After calls
  pauseUntil. Replaces hard setTimeout(12000) and setTimeout(15000).
- 3.4 relevance_locked column on topics — admin edits to relevance are
  sticky across re-extraction. Migration + merge respects the flag +
  unlock checkbox in KnowledgeGraph edit form.
- 3.5 Unify relation vocabulary — handbook prompt no longer mentions
  legacy "executes"; one-shot migration rewrites existing executes rows
  to executed_by with source/target swapped.
- 3.6 Cancellation — Cancel button on UploadZone wired to an
  AbortController threaded into callLLM; aborted runs persist status =
  "cancelled" rather than "failed".

Tests: 16 new unit tests for chunkText, buildKnownIdsHint, and
createLimiter. All 61 tests pass, 0 lint errors, build clean.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-20 17:56:45 +02:00
RaymondVerhoef
f838755991 feat: phase 2 of AI pipeline hardening — tool-based structured outputs + prompt caching
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Every structured-output call now uses an Anthropic tool instead of
parsing JSON out of free-form prose, and stable system prompts are
sent as cacheable blocks. Behaviour-equivalent to phase 1 from the
caller's point of view; the savings show up in token usage and in the
absence of "AI returned non-JSON response" failure modes.

* src/lib/llmTools.js — single source of truth for tool definitions:
  emit_knowledge_graph, emit_handbook_delta, emit_learning_article /
  _slides / _infographic / _all, emit_custom_topic, emit_quiz_questions,
  emit_graph_actions, plus five article-patch tools (set_intro,
  set_section, add_section, remove_section, replace_takeaways).
* src/lib/articlePatches.js — pure applyArticlePatches +
  applyAndValidate; rebuilds the article from a sequence of patch tool
  calls and re-validates against learningArticleSchema. set_section
  falls back to appending when no matching heading exists so the
  model's intent is preserved rather than silently dropped.
* src/lib/llmSchemas.js — Zod schemas for the five patch ops,
  registered in toolSchemaRegistry so callLLM validates them
  automatically.
* src/lib/llm.js — simulation mode now returns a tool_use stub matching
  toolChoice.name, so the UI keeps working with Simulation Mode on
  after the structured-output migration.
* src/lib/extractionPipeline.js — processSourceText and
  analyzeHandbookDelta migrated to callLLM + tool use. System prompts
  sent as { cache_control: ephemeral } blocks. Handbook results pass
  through normalizeHandbookResult to collapse legacy "executes"
  relations into executed_by with swapped source/target.
* src/lib/learningService.js — generateLearningContent picks the right
  tool per selectedType; generateCustomTopic uses emit_custom_topic;
  refineLearningContent now drives the five patch tools with
  toolChoice 'any' and rejects the whole turn if the patched article
  fails validation. Article-only refinement is intentional for phase 2;
  refining a topic without an article surfaces a clear error.
* src/lib/testService.js — quiz generation via emit_quiz_questions.
* src/components/admin/KnowledgeGraph.jsx — analyzeGraph routed through
  the reasoning tier (Opus) since graph-wide consolidation benefits
  from a stronger reasoner.
* src/components/chat/prompts.js — buildSystemPrompt now returns three
  text blocks: stable preamble (cached), KB context (cached, hash-bust
  deferred to phase 5), per-turn user/admin tail (uncached).
* src/lib/__tests__/ — 13 new tests covering each patch op, multi-op
  sequencing, post-patch validation failure, and tool/registry shape.

Acceptance: lint and 45/45 tests green; build succeeds; no
`match(/\{[\s\S]*\}/)` JSON extraction left in src/. Live verification
of cache hits on a second extraction within 5 minutes is deferred to
manual smoke testing — needs real `/api/anthropic` traffic.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-20 15:47:20 +02:00
RaymondVerhoef
4a8dbee7df feat: phase 1 of AI pipeline hardening — single LLM client + tier-aware models
Implements phase 1 of AI_PIPELINE_HARDENING_PLAN.md. Every Anthropic call
now goes through one module that owns retry, timeout, abort, structured-
output parsing, schema validation, and best-effort call telemetry.

* src/lib/llm.js — single callLLM entry point. Resolves model per tier
  (fast / standard / reasoning) with admin:model legacy fallback for the
  standard tier; 60s default timeout via AbortController; balanced-brace
  JSON extraction; LLMHttpError, LLMTruncatedError, LLMOutputError, and
  LLMValidationError surface clearly distinct failure modes.
* src/lib/llmRetry.js — exponential backoff with full jitter, retries
  only on transient HTTP statuses, honours Retry-After up to 60s, never
  retries on AbortError.
* src/lib/llmSchemas.js — Zod schemas for every structured task plus
  normalizeHandbookResult (collapses legacy "executes" relations into
  the canonical "executed_by" vocabulary).
* src/lib/api.js — thin shim over callLLM so existing callers (extraction
  pipeline, learning, quiz, R42, knowledge graph) keep working unchanged.
* src/lib/__tests__/ — 32 Vitest cases covering parse paths, error
  surfaces, simulation mode, model resolution, and schema validation.
* src/pages/Admin/index.jsx — three model inputs (fast / standard /
  reasoning) replacing the single legacy field; legacy value falls back
  for the standard tier so existing overrides survive.

Adds Zod and Vitest, plus an "npm run test" script.

Also cleans up the pre-existing repo-wide ESLint failures so phase 1's
"npm run lint passes" acceptance criterion can be checked: drops unused
React imports across the JSX tree (React 19 JSX runtime auto-imports),
attaches cause to rethrown errors in the service modules, ignores
pb_migrations in the ESLint config (PocketBase JSVM globals), and
removes one dead handleCreateCustom function in Leren.jsx. A real
behaviour bug surfaced in Testen.jsx — the quiz timer captured a stale
finishQuiz via setInterval closure; now updated via finishQuizRef so the
timer always invokes the latest callback.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-20 13:50:09 +02:00