Commit Graph

26 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
eb08c4ad96 feat: knowledge graph table view met sort, group en bulk edit
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Voegt een Graph/Table toggle toe aan de admin Knowledge Graph. De tabel
ondersteunt sorteren per kolom, groeperen op type/relevance/theme/difficulty,
filteren op label, multi-select en bulk-wijzigen van type, learning_relevance
en relevance_locked.

Closes #10

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-06-03 17:08:51 +02:00
RaymondVerhoef
ce276f0296 feat: enhance KnowledgeGraph with edge styles, node navigation, and AI analysis scopes; update GraphControls and NodeDetailPanel for improved relation management 2026-05-27 21:09:05 +02:00
RaymondVerhoef
6309ae716b feat: implement snapshot restore functionality and enhance graph state management
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2026-05-27 17:43:18 +02:00
RaymondVerhoef
6ea8860b96 feat: refactor KnowledgeGraph component and add NodeDetailPanel for enhanced node management
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2026-05-27 15:18:01 +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
25cae2fea9 fix: speed up handbook sync and stop llm_calls 404 noise
Handbook sync ran files sequentially under a 5 req/min limiter with a
hardcoded 60s LLM timeout, causing long syncs and AbortError timeouts on
large files. Now: limiter at 20 req/min, files processed with concurrency
4, handbook extraction timeout raised to 180s, and near-empty files skip
the LLM call.

callLLM gains a timeoutMs option; passing a signal no longer silently
disables the per-request timeout.

llm_calls telemetry self-disables after the first 404 so deploys without
the migration applied don't spam the console.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-22 16:35:56 +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
RaymondVerhoef
db5bb854c3 docs: add AI pipeline hardening plan; rename giteaService to githubService
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Adds AI_PIPELINE_HARDENING_PLAN.md — a phased, self-contained plan an AI
agent can execute to harden the Anthropic integration (central LLM
client, tool-based structured outputs, prompt caching, retrieval-based
R42 context, eval harness).

Renames src/lib/giteaService.js to src/lib/githubService.js. The module
calls api.github.com and raw.githubusercontent.com; the previous name
was misleading. No behaviour change. Updates the single import site in
src/components/admin/KnowledgeGraph.jsx.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-20 12:03:25 +02:00
RaymondVerhoef
d5655d2232 feat: implement automated knowledge graph extraction pipeline and visualization component 2026-05-20 08:55:27 +02:00
RaymondVerhoef
08aaed591f feat: add KnowledgeGraph component for visualizing and managing learning topics and relationships
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2026-05-19 12:33:12 +02:00
RaymondVerhoef
d23b0b6b16 feat: add learning_relevance field to topics and implement KnowledgeGraph UI with handbook synchronization capabilities
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2026-05-19 08:40:52 +02:00
RaymondVerhoef
190d1a6e0b feat: add KnowledgeGraph component for visualizing, editing, and syncing handbook content with AI-driven analysis
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2026-05-18 22:12:19 +02:00
RaymondVerhoef
00541f4a08 feat: add KnowledgeGraph visualization and handbook synchronization component for admin interface 2026-05-18 22:01:02 +02:00
RaymondVerhoef
590912ac04 feat: add KnowledgeGraph component for visualizing and managing knowledge base topics and relations 2026-05-18 21:42:14 +02:00
RaymondVerhoef
d71caa41f6 feat: implement interactive Knowledge Graph visualization with AI-driven content analysis and handbook synchronization tools 2026-05-18 21:30:05 +02:00
RaymondVerhoef
7b84545dc5 feat: add KnowledgeGraph component for D3-based visualization and AI-driven graph management 2026-05-18 21:21:58 +02:00
RaymondVerhoef
f35550f270 feat: add knowledge graph component and persistent handbook sync state collection 2026-05-18 21:13:17 +02:00
RaymondVerhoef
98e32d8ac0 feat: implement R42 chat infrastructure with Anthropic API integration and custom design system
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2026-05-17 16:48:40 +02:00
RaymondVerhoef
74ba5d3dc0 feat: implement knowledge testing system with leaderboard, quiz generation, and PocketBase integration 2026-05-14 16:53:10 +02:00
RaymondVerhoef
c940c984ad feat: implement interactive knowledge graph visualization and AI-driven graph optimization dashboard 2026-05-11 22:32:47 +02:00
RaymondVerhoef
2597dc751a feat: implement AI-driven learning content generation service and interactive leaderboard functionality 2026-05-11 20:16:56 +02:00
RaymondVerhoef
31aacd68d5 feat: implement core knowledge graph UI components, extraction pipeline, and initial platform navigation pages 2026-05-10 21:33:02 +02:00
RaymondVerhoef
260644b41a feat: implement admin knowledge extraction system with document upload and AI pipeline integration 2026-05-10 11:18:48 +02:00