- Introduced "Pension Scheme & Benefits" detailing secondary employment benefits and pension specifics.
- Created "Roles & Accountabilities" outlining the Holacracy role structure and responsibilities within Respellion.
- Added "Security" section covering GDPR compliance and workplace safety protocols.
- Established "Spending and Contracting" policy detailing expense categories and submission processes.
- Documented "Who We Are" to define Respellion's identity, services, and operational model under Holacracy and ISO 9001.
- Created new hot update JSON and JS files for app layout and webpack.
- Included eval-source-map for development purposes in the layout hot update.
- Added full hash retrieval function in the webpack hot update.
Every micro-learning format used to call onComplete implicitly — scroll
to the bottom of the explainer, flip the last flashcard, or pick any
scenario option — which yanked users out of the content before they
were done with it.
Replace the implicit triggers with a Finish session button on each
format. The scenario quiz exposes the button only after an option is
chosen so explanations still get read; the flashcard set exposes a
viewed-cards counter next to it.
The topic-reviewed landing screen now offers Back to Station, Try
another format, and Go to test, so finishing a session leads somewhere
useful instead of dead-ending. Drop the unreachable completion box that
the container was rendering underneath the parent's success screen.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Remove the reflection_prompt micro-learning format end-to-end: type
config, tool definition, container case, selector tile, and the
ReflectionPrompt component file. The format wasn't pulling its weight as
a learning surface.
Add a Beschikbaar badge to selector tiles whose topic already has a
published micro-learning of that type, so users know which formats open
instantly instead of triggering a fresh generation. Cached records are
fetched once per topic via the new getExistingTypesForTopic helper, and
re-fetched after a generation returns so newly-created formats light up
without a manual refresh.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
The weekly quiz path made up to six sequential LLM calls (one per topic)
with three retries each, blowing past the 30s budget. Worse, the
quiz_banks collection has been dropped, so getQuizBank/setQuizBank are
no-ops and every generated batch was thrown away — the assembled quiz
ended up empty and surfaced as "Could not assemble enough questions."
Replace the per-topic loop with a single batched call on the fast tier
that emits all five questions in one round-trip, using the review topics
as prompt context instead of separate calls.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- Created multiple hot-update JavaScript files for app layout and webpack.
- Each file includes a warning about the use of "eval-source-map" for development purposes.
- Added source mapping for CSS files in the app layout.
- Generated corresponding hot-update JSON files to manage module updates.
- Added a new "status" field to the themes collection with options: draft, published, and rejected.
- Updated the migration script to include the new field and its options.
- Created a new ingestion migration script to ensure the "status" field includes "rejected" as an option if not already present.
- Added multiple hot-update files for webpack to support the new changes in the frontend.
- Introduced new page component for library topics with type checks.
- Added migration scripts to update access rules for various collections including badges, curriculum versions, and themes.
- Implemented PocketBase integration for managing collection access rules dynamically.
- Ensured proper type validation for page props and metadata generation functions.
- Created type definitions for `auth`, `layout`, and `page` components to ensure type safety and consistency.
- Implemented checks for entry validity and prop types using utility types.
- Added a `package.json` file to specify module type for TypeScript compatibility.
- Introduced gamification service spec detailing responsibilities, API surface, XP calculation, levels, streaks, badges, milestone cards, and heatmap data.
- Added generation service spec outlining the process for generating micro learning content, including API endpoints, AI call configuration, prompt strategies, and error handling.
- Created R42 chat service spec covering chatbot interactions, retrieval pipeline, prompt construction, response generation, and stateless design principles.
- Created handover document outlining design decisions and application functionality.
- Developed implementation plan detailing phased approach for service development.
- Specified ingestion service responsibilities, API surface, and processing pipeline.
Truncates sources, curriculum, content, quiz banks/results/cache, topics
and relations in dependency order so AI-generated state can be wiped
between smoke runs without leaving dangling references. Handbook sync
state is cleared by default (otherwise re-sync is a no-op); user
progress and leaderboard are opt-in. Team members, settings, and LLM
telemetry are preserved.
UI lives in Admin → Settings → Danger Zone and requires typing RESET
before the button enables. Per-collection deletion counts are reported.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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>
- 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>
