מוסיף מסלול ייעודי לקליטת ההחלטה החתומה של היו"ר, ומפעיל אותו דרך שני
שלבים אוטומטיים מדורגים עם פאנלי-סוכנים (אוטו-אישור + אסקלציה ליו"ר).
Backend (web/):
- POST /api/cases/{case}/final/upload — קליטת final חיצוני: שמירה קנונית
(סופי-{case}.docx + עותק קורפוס-סגנון תחת case_number מלא כדי שבל"מ לא
יתנגש עם ערר באותו מספר), פתיחת draft_final_pairs (final_received). לא נוגע
ב-active_draft ולא מריץ retrofit (נבדל מ-exports/upload ו-mark-final → לא G2).
- POST .../final/run-learning + .../final/run-halacha — שלבים מדורגים שמעירים
worker מקומי (claude/DeepSeek/Gemini מקומיים בלבד) דרך הרחבת
wake_curator_for_final עם param task=learning|halacha.
פאנל-סגנון חדש (scripts/style_lesson_panel.py): שני שופטים (DeepSeek+Gemini)
על-גבי דיסטילציית-ה-Opus; הסכמה 2/2-keep → decision_lesson
(source=panel:deepseek+gemini); substance מדולג (INV-LRN5); הפיך + גיבוי CSV.
פאנל-הלכות: docstring/SCRIPTS.md עודכנו (--apply מחווט).
Frontend (web-ui/): כפתור "העלאת החלטה סופית של היו"ר" + שני כפתורים מדורגים
"הרץ למידת-קול"/"הרץ אימות-הלכות" ב-drafts-panel; כל התוויות בעברית
(badge מקור-לקח: "פאנל: דיפסיק+גמיני", "הרמס (סקירה)"...).
Spec: docs/spec/07-learning.md §0.6. Invariants: INV-LRN1/LRN4/LRN5, G10
(שער-יו"ר ידני להטמעה ל-SKILL.md/lessons.md — הפאנלים יוצרים הצעות בלבד);
G2 (מסלול-סופי הוא יכולת חסרה, לא מסלול-מקביל).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Six-phase upgrade of /training from a read-only dashboard into a full
Style Studio for managing Daphna's style corpus.
- Upload Sheet on /training: file → proofread preview → commit (no more
CLI-only `upload-training` skill).
- Rich corpus metadata: GET /api/training/corpus returns summary, outcome,
key_principles, page_count, parties (regex), legal_citation, lessons_count.
PATCH endpoint for chair edits. CorpusDetailDrawer with 4 tabs (details
/content/lessons/patterns) replaces the bare table row.
- LLM metadata enrichment: style_metadata_extractor + MCP tools
(style_corpus_enrich, style_corpus_pending_enrichment) fill summary
/outcome/key_principles via claude_session (free, host-side).
- Per-decision lessons: new decision_lessons table + 4 REST endpoints +
LessonsTab in drawer; hermes-curator now auto-posts findings as
decision_lessons(source=curator).
- Curator Portrait tab: prompt rendered with link to Gitea, recent
curator findings, style_analyzer training prompts, propose-change
form that writes proposals to data/curator-proposals/ for manual
chair review (no auto-mutation of the agent file).
- Style chat tab: SSE-streamed conversations with the style agent.
New host-side pm2 service (legal-chat-service, port 8770) wraps
claude CLI with stream-json + --resume continuation; FastAPI proxies
via host.docker.internal. Zero API cost — uses chaim's claude.ai
subscription. chat_conversations + chat_messages persist history.
Architecture: keeps the existing rule that claude_session only runs
on the host (not the container). The new legal-chat-service is the
canonical bridge between the container and the local CLI for the chat
feature; everything else (upload, metadata, lessons) stays within the
container's existing capabilities.
Audit script (scripts/audit_training_corpus.py) included for verifying
which corpus rows still need enrichment.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Port the remaining read views from the vanilla UI to Next.js:
- /diagnostics — system health snapshot (DB connected, table counts,
active tasks, failed and stuck documents). Uses the existing
/api/system/diagnostics payload with a 10s refetchInterval so the
page self-updates while the user watches.
- /skills — Paperclip skill inventory with sync status (DB-only,
disk-only, synced, not-synced) as a card grid driven by
/api/admin/skills.
- /training — Dafna's style portrait as three tabs on one page:
* Report: corpus KPIs + CSS conic-gradient subject donut
(SubjectDonut ported from index.html renderHero) + horizontal
anatomy bars + top-12 signature phrases.
* Corpus: TanStack Table of style_corpus rows with an inline
delete mutation (useDeleteCorpusEntry invalidates both the
corpus list and the style report so KPIs update).
* Compare: two-decision selector backed by /api/training/compare,
side-by-side panels plus shared / only-A / only-B pattern
lists.
New API modules: lib/api/system.ts, lib/api/skills.ts,
lib/api/training.ts. All three use TanStack Query with staleTime
profiles tuned per endpoint (10s for diagnostics, 30s for skills,
60s for training reports).
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
