- בקאנד: GET לפני ה-async task — אם citation כבר קיים כ-external_upload מחזיר 409
- DB: get_external_case_law_by_citation — lookup לפי citation + source_kind
- פרונט: banner אדום עם פרטי הרשומה הקיימת ושני כפתורות:
• "הפעל חילוץ מחדש" — request-halachot ל-ID הקיים וסגירת הטופס
• "מחק את הרשומה" — DELETE עם confirm, ניקוי conflict לאחר מכן
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Adds a new "ההחלטה" tab to the case detail page showing all 12 decision
blocks with rendered markdown content and inline editing that saves back
to the DB via two new FastAPI endpoints.
Backend (web/app.py):
- GET /api/cases/{n}/decision-blocks — returns all 12 blocks (empty
ones included) merged from BLOCK_CONFIG + decision_blocks table.
Exposes source_of_truth ("docx"|"blocks") and active_draft_path.
- PUT /api/cases/{n}/decision-blocks/{block_id} — inline save via
block_writer.save_block_content; warns (does not block) when an
active DOCX draft exists.
Frontend:
- src/lib/api/decision-blocks.ts — typed hooks (useDecisionBlocks,
useSaveBlock) following the cases.ts hand-written-module pattern.
- src/components/cases/decision-blocks-panel.tsx — accordion of 12
blocks; view mode renders Markdown component; edit mode is a textarea
with on-blur save (derived from ChairEditor pattern, setState-during-
render for re-sync to avoid effect cascade).
- BLOCK_LABELS in feedback.ts extended from 7 → 12 blocks.
- cases/[caseNumber]/page.tsx — new "ההחלטה" tab wired to the panel.
No DB migration required — decision_blocks + active_draft_path exist.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Legacy Hebrew .doc precedents (e.g. nevo.co.il CP1255 OLE2) can now be
uploaded directly through the precedent-library, missing-precedent, and
training upload paths — the frontend already advertised .doc but the
backend gate rejected it before reaching the extractor.
- web/app.py: add .doc to ALLOWED_EXTENSIONS (covers all paths that share
the set: precedent library, missing-precedent, training).
- Dockerfile: install libreoffice-writer-nogui (no X11/Java) so the
extractor's existing _extract_doc LibreOffice conversion works in the
Coolify container (was missing → would fail at runtime).
- extractor.py: isolate the LibreOffice user profile per call to avoid a
profile-lock failure on concurrent .doc conversions.
Verified in python:3.12-slim (prod base): .doc→.docx→text yields text
byte-identical to a native Word .docx save (103 paragraphs, 24,341 chars).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Make the chair's pending-halacha review faster and less exhausting.
Backend:
- New 'deferred' review_status (snooze): stays out of the active library AND
out of the default pending queue, without the finality of 'rejected'.
update_halacha stamps reviewer+reviewed_at on defer; HALACHA_REVIEW_STATUSES
is the single source of valid statuses (PATCH validation now uses it).
- db.update_halachot_batch(ids, status, reviewer) — one atomic UPDATE for a
whole group; invalid status / empty ids are a no-op.
- POST /api/halachot/batch (HalachaBatchReviewRequest) wraps it.
- update_halacha now RETURNs quality_flags too (parity with list_halachot).
Frontend (halacha-review-panel):
- Quality-flag badges (#81: non_decision / truncated_quote / thin_restatement /
quote_unverified) so the chair sees WHY an item was held back.
- Defer action — button + keyboard 'D' — to snooze without rejecting (fixes the
'leave in pending forever' anti-pattern; reject stays the junk verb).
- Per-precedent batch bar: 'אשר הכל' / 'דחה הכל' via useBatchReviewHalachot
(one request, one refetch) with confirm guards.
- Halacha/HalachaPatch types gain quality_flags + 'deferred'.
Verified: mcp-server suite 156 passed; web build green; end-to-end integration
against dev DB (batch approve/reject, defer sets status+timestamp, pending
excludes approved+deferred, deferred queryable, invalid status no-op).
Note: api:types regen deferred until deploy (the batch hook is hand-typed, not
dependent on generated types).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Two identity fixes for the precedent corpus:
1. PrecedentUpdateRequest += case_number — the canonical identifier was not
in the edit model, so a wrong id captured at upload (e.g. the full
citation pasted into the field) could not be corrected. update_case_law
already whitelists case_number.
2. /api/internal-decisions/upload += citation form field — case_number is
now the clean identifier (e.g. 8027-25) and citation is the full
מראה-מקום, stored as citation_formatted up-front (previously the UI sent
the citation AS case_number, leaving the id polluted and citation_formatted
empty until extraction). Stored via a post-ingest update_case_law, not the
core INSERT.
Frontend (separate case_number field in the upload + edit sheets) follows in
a second PR after api:types regen.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The /api/internal-decisions/upload path (used by the UI for ועדת-ערר
decisions) never called pc_wake_for_precedent_extraction, so committee
decisions were stuck at halacha_extraction_status='pending' forever — the
CEO was never woken to drain the queue. Root cause behind 8027-25's stuck
extraction. The other two upload paths (precedent_library, missing-precedent)
already wake the CEO; this one was missing it.
- internal-decisions upload: add the wakeup, routing the company by case
number prefix (1xxx→רישוי, 8xxx→היטל, 9xxx→פיצויים) when practice_area is
empty (else an 8xxx case wrongly routes to the licensing CEO).
- all three call sites: the wake helper returns {ok:False} WITHOUT raising
on a skipped/failed wakeup; that was silently dropped. Now logged at
WARNING with the reason, and the upload progress carries extraction_queued.
Fallback drainer (scheduled precedent_process_pending) deferred — the
missing wakeup was the actual failure; manual precedent_process_pending
remains the recovery path.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The gold-set card read data/eval/gold-set.jsonl, but .dockerignore excludes
data/ from the build context, so the file is never in the container and the
card silently never rendered. Baking eval data into the image is the wrong
layering (data/ is runtime volumes). The gold-set review is a one-time task,
not a recurring chair queue, so it doesn't belong on the live board — it's
tracked via task #63 and reviewed directly with the chair. The board now
returns the 4 robust DB-backed gates (halachot, missing precedents, feedback,
qa_failed). Removes the best-effort file read + its unused Path import.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Dafna asked for a single page under the prod site listing everything she needs
to approve, so nothing is forgotten — the visible embodiment of INV-G10 (human
gates) and INV-QA1 (halacha backlog must be visible).
Backend — GET /api/chair/pending aggregates every pending chair gate, each as a
direct source query (count + sample + action link):
- halachot review backlog (review_status='pending_review') + oldest
- open missing precedents
- unresolved chair_feedback
- qa_failed cases
- gold-set review (FU-5, file-based, best-effort: total vs source='chair')
Frontend — /approvals page ("מרכז אישורים"):
- src/lib/api/chair.ts — usePendingApprovals() (hand-typed until next api:types)
- src/app/approvals/page.tsx — card per category, severity-coloured count, sample
rows, oldest-pending date, link to where each is handled; live (60s refetch)
- app-shell nav: "מרכז אישורים" in the work group + total-pending badge (quiet at 0)
Live counts at build time surfaced the value immediately: 226 open missing
precedents, 178 pending halachot, 20 unapplied feedback notes, 1 qa_failed.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Covers GAP-11 (INV-RET4/G8) and GAP-14 (INV-QA1/G10). Retrieval quality was
never measured (only telemetry observation) and the halacha review backlog was
invisible (the 10/19 gap was found by accident).
Unit B — backlog visibility (pure code, container):
- metrics.halacha_backlog(conn) → {pending_review, approved, rejected, published,
total, oldest_pending_at}; surfaced in metrics.get_dashboard() (get_metrics MCP
tool) and /api/system/diagnostics. Live count revealed 178 pending / 1552 total,
oldest from 2026-05-03 — previously invisible.
Unit A — retrieval eval harness (host-side scripts):
- scripts/eval_gold_bootstrap.py — seeds data/eval/gold-set.jsonl. Two sources:
citations (cited==relevant via search_relevance_feedback — empty until decisions
cite precedents) and known_item (query=case_name → relevant=self; a real
citation-free signal, the methodology #52 checked by hand). Idempotent; preserves
source='chair' rows.
- scripts/eval_retrieval.py — runs the production retrieval path (search_library /
search_internal) over the gold-set; computes precision@k, recall@k, MRR, nDCG@k
(k=5,10); aggregates overall + per-corpus + per-practice_area; writes a report and
a delta vs committed baseline.json (which records the retrieval_config it reflects).
--self-test unit-checks the metric math offline.
Gold-set strategy = hybrid (chair decision): bootstrap + chair review. The citation
source is empty today (0 cited precedents in decisions), so the seed is known-item
(77 queries: 54 internal_decisions + 23 precedent_library). The gold-set is
PROVISIONAL until Dafna reviews it (the domain chair-gate).
Baseline (production config: multimodal+rerank on): R@10=0.987, MRR=0.837,
nDCG@10=0.872. Finding: MULTIMODAL_ENABLED=true slightly lowers known-item recall
(image-page results displace exact name matches) — relevant to #15. precedent_library
weaker than internal (R@10 0.957 vs 1.0) — one external precedent unfindable by name.
"CI gate" realized as discipline (re-runnable harness + committed baseline + run
before/after any retrieval-layer change) — retrieval needs prod DB + Voyage, no CI
runner has that access.
Spec: docs/superpowers/specs/2026-05-31-fu5-eval-harness-design.md
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>
Until now, "case_number" was the only stored identifier for a precedent.
But a *citation per the Israeli unified citation rules* is a different
beast — it has bold parties, an unbold prefix (court abbrev + panel/
district parenthetical + case number), and an unbold trailing reporter
(נבו / פ"ד...). Without storing it as a first-class field we couldn't
hand the chair a one-click "copy as citation" experience for pasting
into decisions.
Changes:
- Schema V19: case_law.citation_formatted TEXT (Markdown — parties
wrapped in **…** so the copy helper can render <strong> for Word/Docs
paste and keep plain-text fallback meaningful).
- Metadata extractor: composes citation_formatted from the document
text per the unified citation rules, with worked examples for ע"א /
עת"מ / ערר / בל"מ in the prompt. Refuses to store half-formed strings.
- PATCH /api/precedent-library/{id} accepts citation_formatted so the
chair can correct LLM mistakes.
- /precedents/[id]: dedicated "מראה מקום" block with bold rendering,
a copy-to-clipboard button (text/html + text/plain so Word keeps
the bolds), and an inline edit textarea.
- /precedents list rows: link displays the formatted citation when
available, with a small inline copy button — falls back to the bare
case_number for older rows.
Backfill of existing rows happens by re-stamping the extraction queue
once V19 has rolled out and the new field is reachable.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
The missing-precedents drawer + general precedent upload both required
the user to type chair_name, district, practice_area, court, date etc.
upfront — even though those fields can be (and already are, post-upload)
extracted from the document text by the LLM. The metadata-extraction
wakeup also only fired for the /precedent-library/upload path, leaving
missing-precedents committee uploads stuck with whatever stub the user
typed.
Changes:
- Extractor learns chair_name + district, overwrites the new
PLACEHOLDER_PENDING_EXTRACTION sentinel for internal_committee rows
(the DB CHECK forces non-empty; we stamp the placeholder at insert).
- missing_precedent_upload no longer 400s on missing chair/district;
it infers district from the citation when possible, falls back to
the placeholder, and always fires pc_wake_for_precedent_extraction
so the LLM can fill in the rest.
- Both upload sheets default to file (+ citation) only; every other
field is tucked into a closed <details> labeled "אופציונלי — דריסה
ידנית של שדות שיחולצו אוטומטית". Required validators on chair/
district/practice_area dropped — the LLM fills them.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Adds two webhook emitters in paperclip_api.py that the plugin's
onWebhook handler now routes by ``eventType``:
* ``emit_missing_precedent_webhook(...)`` — fires from
POST /api/missing-precedents on first insert (non-duplicate).
The plugin surfaces an askUserQuestions interaction on the
linked issue so Daphna can choose upload / irrelevant / defer
without needing to open the legal-ai UI.
* ``emit_export_complete_webhook(...)`` — fires from
POST /api/cases/{n}/export-docx after a successful export. The
plugin attaches a "final-decision" markdown document with a
download link to the linked Paperclip issue.
Both are fire-and-forget BackgroundTasks — failures are logged
but never block the originating request. Company resolution
follows the same 1xxx→licensing / 8-9xxx→betterment rule used
by emit_case_status_webhook.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
The "חלץ עובדות שמאיות" UI button hit POST /api/cases/{n}/extract-appraiser-facts
which called appraiser_facts_extractor inline — that shells out to the local
`claude` CLI, which is absent in the Coolify container, so every doc errored,
the per-doc try/except swallowed it, and the response was "completed, 0 facts".
Refactored the endpoint to wake the legal-analyst of the correct company via
Paperclip (same pattern as wake_curator_for_final), and surface
extraction_failed instead of "completed" when every doc errored.
The cases-table reads from the list endpoint, not /details, so without
proceeding_type in the row payload the בל"מ badge can't render for
cases that flipped the field manually (only the legacy
appeal_subtype LIKE 'extension_request_%' path was firing).
Added the field to both detail=false and detail=true branches.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Same case_number can exist as both a regular appeal (ערר) and an
extension-of-time request (בל"מ), and we were inferring the difference
from appeal_subtype prefixes — fragile, and case-number lookups
weren't disambiguated. Now stored as a first-class field on both
case_law (corpus) and cases (live cases), with partial unique indexes
on (case_number, proceeding_type).
- SCHEMA_V15: column + CHECK constraints + backfill from
appeal_subtype LIKE 'extension_request_%' + partial unique indexes
replace the old global UNIQUE(case_number).
- derive_proceeding_type() centralizes the inference rule
(extension_request_* → בל"מ; subject regex fallback; default ערר).
- Metadata extractor prompt asks Claude to populate the new field
explicitly; apply_to_record writes it for internal_committee rows.
- internal_decision_upload, case_create, case_update accept an
optional proceeding_type; FastAPI request models expose it.
- Wizard + edit dialog get a sided Select; case header renders the
resolved label (ערר / בל"מ).
- Uploaded the 2 staged בל"מ decisions on betterment levy:
8126/24 (סופר נוח, 13 chunks), 8047/23 (הרנון, 48 chunks).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Four parallel sub-agents closed the remaining critical gaps from the
26/05 Stage A/B sprint. Each block independently tested; aggregated here.
## #30/#31 finalizers (sub-agent A)
* Auto-derive practice_area in case_create from case_number prefix
(1xxx→rishuy_uvniya, 8xxx→betterment_levy, 9xxx→compensation_197);
default for CaseCreateRequest is now "" (the DB constraint catches
any stray "appeals_committee").
* practice_area.py: derive_subtype now handles axis-B domain values
(rishuy_uvniya/betterment_levy/compensation_197) without parsing the
case number; new helper derive_domain_practice_area().
* Halacha re-extraction verified unnecessary — all 6 reclassified
records already had is_binding=false and approved halachot.
* Regression tests: 6 cases in tests/test_corpus_constraints.py
covering practice_area enum, internal-committee chair/district,
external-upload arar prefix, MCP guard.
* UI: district input → Select dropdown (7 districts) in
precedent-edit-sheet.tsx, preserving legacy free-text values.
## #37 בל"מ subtypes (sub-agent B)
* 3 new appeal_subtypes: extension_request_{building_permit,
betterment_levy,compensation}. APPEALS_COMMITTEE_SUBTYPES extended,
SUBTYPES_BY_AREA mappings added.
* New helpers: is_blam_subject(), is_blam_subtype(),
derive_subtype_with_blam(case_number, subject, practice_area).
case_create now uses it to auto-detect "בקשה להארכת מועד" subjects.
* 3 methodology templates under docs/methodology/extension-request-*.md.
* paperclip_client.py mapping updated for the 3 new subtypes
(extension_request_building_permit→CMP, the other two→CMPA).
* Frontend: bilingual "בל"מ" badge + filter dropdown on cases list +
detail header; appeal-type-bars collapseBlam() merges בל"מ into its
parent domain for aggregate bars.
* Wizard auto-detects בל"מ from subject during case creation.
* 3 Berlinger cases (1017/1018/1019-03-26) migrated to
appeal_subtype=extension_request_building_permit via psql.
## #35 missing_precedents feature (sub-agent C)
* Schema V13: missing_precedents table (citation, case_id, party,
legal_topic, status, linked_case_law_id, claim_quote, ...) +
FK constraints + 3 indexes. Applied via psql + idempotent migration.
* 6 db.py service functions, 3 MCP tools, 6 FastAPI endpoints
(POST/GET/PATCH/DELETE/upload — upload routes by citation prefix
to ingest_internal_decision or ingest_precedent).
* Next.js page /missing-precedents with 5 status tabs + filters +
sidebar badge counter + detail drawer with metadata edit + smart
upload form that switches fields per committee/court.
* Bootstrap: 7 rows imported from the JSON file
(3 citations × cases, all status=closed with linked_case_law_id).
* legal-researcher.md: new §2ב.5 with missing_precedent_create
usage + dedup semantics + tool grant.
## #36 legal_arguments aggregation (sub-agent D)
* Schema V14: legal_arguments + legal_argument_propositions M:M.
Applied via psql.
* New service argument_aggregator.py with two functions —
aggregate_claims_to_arguments() (Claude CLI / claude_session) and
get_legal_arguments(). Graceful llm_unavailable handling when CLI
is missing (containers).
* 2 MCP tools + 2 API endpoints (POST .../aggregate-arguments as
BackgroundTask, GET .../legal-arguments).
* Frontend: shadcn Accordion + new legal-arguments-panel.tsx with
hierarchical (party → priority badge → arguments) display, "טיעונים"
tab on the case page, "חשב/חשב מחדש" buttons.
* scripts/backfill_legal_arguments.py + SCRIPTS.md entry — dry-run
found 8 candidate cases including 1017/1018/1019.
## Open follow-ups (intentionally deferred)
* npm run api:types in web-ui (CLAUDE.md flow) — recommended before
the next UI commit; not required for backend deployment.
* Run backfill_legal_arguments.py --apply once the container picks up
the new aggregator service.
* webhook on missing-precedents upload-close to Paperclip (optional).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Wrap date.fromisoformat() in try/except in case_update tool — prevents
unhandled ValueError from surfacing as 500; FastAPI now catches it as 422
- Add DialogDescription (sr-only) to 5 dialogs missing aria-describedby:
documents-panel preview + delete, drafts-panel delete + feedback, link-related-dialog
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Fields existed in DB and Precedent type but were missing from:
- PrecedentUpdateRequest (backend model)
- update_case_law allowed set (db layer)
- PrecedentPatch (frontend type)
- precedent-edit-sheet form state, inputs, and patch payload
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Archived cases have archived_at IS NOT NULL — they are not "stuck",
they are done. The stale query was missing this filter.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
If pc_wake_ceo fails, the endpoint now raises HTTP 502 and skips the
case_update to processing — preventing cases from silently getting stuck
with no CEO running. Also adds `processing` to CEO routing table and
updates case_list docstring with full status list.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Fix keyboard navigation bug: React was reusing the submit button DOM element
when transitioning "הבא" → "צור תיק", retaining focus and causing Enter to
auto-submit step 3. Added key props to force element replacement.
- CaseEditDialog now covers all wizard fields: appellants, respondents,
property_address, permit_number (in addition to existing title, subject,
hearing_date, expected_outcome, notes).
- When case title changes, Paperclip project name is updated in background
via new update_project_name() in paperclip_client.py.
- Extended CaseUpdateRequest, case_update MCP tool, and caseUpdateSchema
to carry the new fields end-to-end.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
GET /api/cases/stale?days=N — returns cases not updated in N days (default 3)
that are not in 'final' or 'new' status, with days_stale count.
GET /api/chair-feedback/weekly-summary?days=N — returns chair feedback from
the last N days (default 7) as a Hebrew bullet-list summary for CEO agent.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
asyncpg returns JSONB columns as raw JSON strings when no type codec is
configured (only pgvector is registered in _init_connection). The stored
value is a correct JSONB array (jsonb_typeof=array confirmed), but
asyncpg decodes it as str. Parse it explicitly in the GET handler so
the frontend receives the correct Python list/dict.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
asyncpg cannot encode a Python list as JSONB directly (expects str).
Passing str with ::jsonb causes double-encoding (stored as JSONB string).
Solution: json.dumps() the value → pass as text → PostgreSQL parses
with ::text::jsonb cast, storing it as the correct JSONB array/object.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Pass req.value directly to asyncpg instead of json.dumps(req.value).
When a Python string was passed with ::jsonb, asyncpg encoded it as a
JSONB string (not an array), causing the frontend spread operator to
split it into individual characters — one textarea per character.
Also fix typo in DISCUSSION_RULES default: "אסה" → "מאסה".
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Add ability to mark case_law records as related (e.g. same appeal
through ועדת ערר → מנהלי → עליון):
- DB: case_law_relations join table (bidirectional, V11 migration)
- DB CRUD: add/remove/get_case_law_relations
- Service: get_precedent() now returns related_cases[]
- MCP: precedent_link_cases + precedent_unlink_cases tools
- REST: POST/DELETE /api/precedent-library/{id}/relations
- UI: RelatedCasesSection on detail page with search dialog and unlink
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
The "חלץ מטא-דאטה" / "חלץ הלכות" buttons in the UI used to only stamp
the queue (set metadata_extraction_requested_at / halacha_extraction_requested_at)
and rely on a human running `mcp__legal-ai__precedent_process_pending` from
local Claude Code to drain it.
That left the user with an unintuitive two-step flow: click button → run
local MCP tool. Meanwhile, the upload endpoint already does the right
thing — after ingest succeeds it calls `pc_wake_for_precedent_extraction`,
which creates a Paperclip issue, assigns it to the CEO, and wakes them
to run `precedent_process_pending` automatically.
Add the same wakeup call to the manual request-metadata / request-halachot
endpoints. Now clicking the button is sufficient — the CEO picks it up
and drains the queue without manual intervention.
Best-effort: matches the upload flow's failure semantics. The queue stamp
still happens even if the wakeup fails, so the user can fall back to the
manual MCP tool when needed. The wakeup outcome is included in the
response under `wakeup` for observability.
Coolify deploy required for the FastAPI container to pick this up.
ingest_final_version uses claude_session internally, which requires the
Claude CLI binary (not present in the legal-ai FastAPI container). The
call always failed with "Claude CLI not found" — caught by try/except
but noisy.
Replace with a static skipped status + comment pointing to the architectural
rule. Run ingest_final_version manually via Claude Code / MCP from the
local host when populating case_law is desired.
The curator wakeup hook remains and works correctly.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
The previous F2 stage in legal-ceo.md fired after the first DOCX export
— too early, since the user often iterates with עריכה-* uploads after
the first export. The true "this is dafna's chosen final" signal is the
"סמן כסופי" button in the UI, which calls api_mark_final.
This commit moves the curator wakeup from CEO's instructions to a
direct hook in api_mark_final:
- web/paperclip_client.py: add CURATOR_AGENTS dict (CMP + CMPA UUIDs)
and wake_curator_for_final() helper. Looks up main case issue,
creates a child issue assigned to the curator, tags plugin_state for
case visibility, and triggers wakeup via Paperclip API.
- web/app.py: api_mark_final now calls workflow_tools.ingest_final_version
(so case_law table finally gets populated for search_decisions) and
pc_wake_curator_for_final. Both are best-effort — failure does not
block marking final.
- legal-ceo.md: remove F2 stage, leave only the agents-table reference
noting the curator runs from api_mark_final.
- hermes-curator.md: update activation description to reflect the new
flow.
Result: curator runs only when chaim deliberately clicks "סמן כסופי",
on the actual final file, with no risk of analyzing a draft that will
later change.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Three-layer separation: style learning (style_corpus), appeals-committee decisions
(internal_committee), and court rulings (external_upload).
- SCHEMA_V10: chair_name + district columns on case_law and cases, partial indexes
- create_internal_committee_decision() DB upsert function
- search_precedent_library_semantic() now accepts source_kind/district/chair_name params
- search_precedent_library_hybrid() passes through new params
- services/internal_decisions.py: ingest_internal_decision, migrate_from_style_corpus,
migrate_from_external_corpus (identifies rows via source_type='appeals_committee')
- search_internal_decisions() MCP tool (server.py + tools/search.py)
- internal_decision_migrate() MCP admin tool
- Web endpoints: POST /api/internal-decisions/upload, POST /api/internal-decisions/migrate,
GET /api/internal-decisions
- ingest_final_version auto-ingests finalized decisions into internal corpus
- SKILL.md updated: agents now search internal + external in parallel, present separately
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Two false positives surfaced after the Agents tab went live:
1. status (running/idle/paused) is runtime state, not config — drops in
and out as agents pick up issues. Removed from _DRIFT_FIELDS.
2. desiredSkills compared raw, but local/* and company/* skills carry
per-company hashes/scopes by design (sync_agents_across_companies.py
filters local skills with a warning). Comparing them flags every
master+mirror pair that has any local skill on master.
Now compares only paperclipai/* skills (vendor-shipped, must match).
UI shows an inline note explaining the filter.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Task #29: surfaces all 14 agents (7 roles × 2 companies) in /settings as
master+mirror pairs with drift detection. Replaces ad-hoc psql + script
inspection with a single dashboard.
Backend: GET /api/admin/paperclip-agents — fetches via Paperclip API
(not direct DB), groups by name, computes drift across model/effort/
timeoutSec/maxTurnsPerRun/skills/runtime_config.heartbeat/budget/status.
Frontend: new AgentsTab card-per-pair with side-by-side compare,
drift highlighting, expandable details (skills list + instructions path).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Surface issue_thread_interactions (ask_user_questions / request_confirmation /
suggest_tasks) directly inside legal-ai's case detail feed so the user can
answer agent prompts without switching to Paperclip's UI.
Backend (FastAPI):
- paperclip_client.py: 4 new helpers — get_issue_interactions (DB),
respond_to_interaction / accept_interaction / reject_interaction (REST).
- app.py: extends GET /api/cases/{case_number}/agents to include
`interactions`, and adds POST /api/cases/{case_number}/agents/interaction-response
routing to /respond, /accept, /reject in Paperclip.
- paperclip_client.py: also pulls existing httpx calls onto the centralized
pc_request helper (paperclip_api.py) for consistent auth + run-id headers.
Frontend (web-ui, Next.js 16 + TanStack Query):
- agents.ts: Interaction / InteractionPayload / InteractionStatus types,
useSubmitInteraction mutation hook (invalidates the activity query).
- agent-activity-feed.tsx: InteractionCard renders radio (single) /
checkbox (multi) for ask_user_questions, accept/reject + reason for
request_confirmation, task selection for suggest_tasks. Resolved
interactions show a read-only summary. Cards are interleaved with
comments by created_at, so the feed reads chronologically.
Paperclip auto-wakes the issue assignee on a successful response
(queueResolvedInteractionContinuationWakeup) — no explicit wakeup needed.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Read-only display of BLOCK_CONFIG from block_writer.py with CREAC role
and JWM functional-purpose annotations per block (sourced from
docs/block-schema.md).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Investigation showed legal-ai container has no INFISICAL_TOKEN and there
is no /legal-ai folder in Infisical — all env vars are stored in Coolify
and injected into os.environ at container start.
- Replace _read_infisical_values with _read_coolify_envs
- New: _coolify_authoritative_value picks among Coolify duplicates
- PATCH writes via Coolify API (upsert by key)
- Drift = Coolify-stored vs container-runtime (common: Coolify edited
without redeploy)
- Response field renamed: infisical_value → coolify_value
- New 'has_duplicates' flag per row when Coolify has multiple entries
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Add infisical_available flag to _build_env_var_row
- Stabilize error code (no exception text in API response)
- Document raw-comparison safety inline
Adds four helper functions (_infisical_client, _infisical_ctx,
_read_infisical_values, _build_env_var_row) and the /api/settings/mcp/env
endpoint that compares Infisical vs container env vars and reports drift.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
The legacy chunker did not track which PDF page each chunk came from.
Stored chunks had page_number=NULL, which blocked the multimodal
hybrid retriever's text+image boost — it joins (chunk, image) on
(document_id, page_number) and the join could never fire.
This change:
- extractor.extract_text now returns (text, page_count, page_offsets);
page_offsets[i] is the start char offset of page (i+1) in the joined
text. None for non-PDFs.
- chunker.chunk_document accepts an optional page_offsets and tags
each chunk with the page that contains its first character (uses
the existing chunker logic; pages assigned post-hoc by content
search to keep the diff minimal).
- processor.process_document and precedent_library.ingest_precedent
forward page_offsets through the chunker. New uploads now carry
accurate page_number on every chunk.
- Other extract_text callers (tools/documents, tools/workflow,
web/app.py) updated to unpack the third element (ignored).
- scripts/backfill_chunk_pages.py: per-case retrofit. Re-extracts each
PDF (re-OCRs via Google Vision if needed, ~$0.0015/page), computes
page_offsets, and updates page_number on every chunk by content
search. Idempotent; --force re-runs on already-tagged docs.
Forward-only would leave the 419 image embeddings backfilled on
cases 8174-24 + 8137-24 unable to boost their corresponding text
chunks. The retrofit script closes that gap (cost ~$0.60).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
