Closes the loop between the chat UI and the Investigation Bureau runtime.
Chat tool (web/lib/chat/tools.ts):
- request_investigation { kind, question, doc_id?, chunks?, claim? }
INSERTs a row in public.investigation_jobs and returns
{ job_id, kind, status, eta_seconds, status_url, detective }.
- kind=hypothesis_tournament → Holmes (1 question → 2-3 rival hypotheses)
- kind=evidence_chain → Locard (1 doc → grade-A/B/C evidence with chain
of custody, default top-5 anomaly chunks)
- Plumbed user.email through ToolHandlerContext so triggered_by audits
the requesting user.
Public job viewer:
- GET /api/jobs/[id] joins investigation_jobs → public.evidence +
public.hypotheses for the IDs surfaced in outputs[]. Returns one
payload the page can render without n+1 round-trips. Strips
triggered_by from the response (it carries the user's email).
- app/jobs/[id]/page.tsx server-renders the case-file shell:
detective lore header (Holmes blue or Locard green), question chip,
scope chip with link back to the document.
- components/job-status-poller.tsx client island that polls every 3 s
while non-terminal, then once on terminal to hydrate evidence +
hypotheses. Renders:
· Phase tracker (queued → running → complete | failed)
· Hypothesis cards w/ prior + posterior bars + Δ delta indicator
+ Tetlock band badge (high/medium/low/speculation)
· Argument-for / argument-against with [[wiki-link]] auto-linking
to /d/<doc>/p<NNN>#<cNNNN>
· Evidence cards w/ Grade A/B/C badge + verbatim blockquote +
bbox crop preview via /api/crop + custody-steps disclosure
· Empty/in-flight panel ("os detetives estão lendo o corpus")
· Failure panel surfacing error + partial outputs
Inline chat-bubble card (components/chat-bubble.tsx):
- ToolTrace.richRender recognises request_investigation results and
renders a detective banner with status + ETA + link to /jobs/[id]
(target=_blank). Error case renders a red strip with the message.
UX flow now: user asks Sherlock a question → request_investigation
queues the job → chat card shows "🔎 Holmes · hypothesis_tournament ·
ETA ~60s" → user clicks → /jobs/<id> live-updates → 60 s later, 2-3
rival hypotheses + their arguments + chunk citations are rendered with
Bayesian update visible.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Scanned docs are messy — duplicate transcriptions (typed + handwritten),
two classification variants of the same narrative, OCR noise, repeated
banners. The doc page showed raw chunks, so everything appeared twice.
40_reading_version.py generates ONE clean, deduplicated, well-structured
bilingual Markdown reading version per doc (Sonnet): merges duplicate versions
without losing unique lines, drops page furniture, formats transcripts as
dialogue. Faithful — invents nothing; redactions kept as markers.
/d/[docId] now defaults to a "📖 leitura" tab rendering this clean version,
with "🔍 trechos · scan original" preserving the faithful per-chunk + per-page
scan view. reading.md lives in raw/<doc>--subagent/ alongside the chunks.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Root-cause fix for "search returns garbage for absent terms". The hybrid RPC's
dense branch always returned its k nearest vectors regardless of distance, so a
query for a term not in the corpus (e.g. "varginha") surfaced unrelated chunks.
The cross-encoder reranker would filter these but costs 18-62s on CPU —
unusable for interactive search.
Add max_dense_dist (default 0.40) to hybrid_search_chunks: dense neighbours
beyond that cosine distance are dropped server-side. Calibrated from measured
distances — strong semantic match ~0.12-0.20, no real match ~0.46-0.53. BM25
full-text still matches literal terms; the reranker becomes opt-in refinement.
Verified live: varginha/abducao → 0, disco voador/roswell → relevant, all <1s.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
The hybrid_search RPC always returns up to recall_k dense neighbours, so a
query for a term absent from the corpus (e.g. "varginha") returned its 12
nearest vectors — irrelevant chunks like PAGE_NUMBER "1". Two bugs:
the reranker was skipped whenever results <= top_k, and there was no relevance
floor.
Now always run the cross-encoder reranker (BGE-reranker-v2-m3, normalized
sigmoid) and drop hits below 0.02. Verified: "varginha" → 0 results;
"roswell"/"tic tac"/"disco voador" → relevant hits on top (reranker cleanly
separates 0.0001 garbage from 0.03-0.27 matches).
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Add reextract pipeline (scripts/reextract/) that rebuilds doc-level entity
JSON from Sonnet-vision chunks via Opus, replacing the noisy per-page
extraction. Add synthesize scripts to regenerate wiki/entities from the 116
_reextract.json (30), aggregate missing page.md from chunks (31), and reprocess
805 pages the doc-rebuilder agent dropped on context overflow (32). Add
maintain scripts 43-56 for chunk-page sync, dedup, generic-entity marking, and
typed relation extraction.
Web: wire relations API + entity-relations component; entity/timeline/doc
pages consume the rebuilt layer.
Note: raw/, processing/, wiki/ remain gitignored (bulk data managed
separately); the 116 reextract JSONs and 7,798 rebuilt entity files live on
disk only. The 27 curated anchor events under wiki/entities/events/ are
preserved.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
The corpus had two parallel reverse-reference signals: the wiki/pages
entities_extracted blocks (Haiku page-level) and public.entity_mentions
(Sonnet chunk-level, ILIKE-matched). The entity page only consulted the
DB, so it showed "0 menções" for thousands of entities that were anchored
in pages or in cross-entity links the DB never indexed.
Resolved by collapsing all signals into the YAML frontmatter, which is
now the single runtime source for entity metadata.
scripts/maintain/42_sync_entity_stats.py walks every entity and writes:
mentioned_in: [...] # consolidated page refs
total_mentions: max(db, pages)
documents_count: max(db_docs, distinct page docs)
signal_sources:
db_chunks: int
page_refs: int
cross_refs: int
signal_strength: strong | weak | orphan | unverified
referenced_by: [[class/id]] # cross-entity backlinks
Outgoing wikilinks (e.g. OBJ.observed_in_event → EV) count toward the
entity's own cross_refs so anchored-but-not-mentioned entities don't
register as orphan.
OBJ canonical names like "7m long, 1.3m high, two rocket motors,
smooth flow, rotary drive null UAP (OBJ-EV1945-PEYERLSHOTDOWN-01)"
are rewritten to "Peyerl shot down UAP" derived from observed_in_event,
preserving the full description as an alias. --fix-obj-names did this
for every OBJ-* with >80 char canonical_name.
Default behaviour is conservative: --archive-only-junk archives only
single/double-char names and pure-numeric noise. Everything else stays
on disk with signal_strength marked, so the user can review later.
web/lib/retrieval/entity-pages.ts swapped from db-first to yaml-first.
The /e/[cls]/[id] page now reads counts straight from YAML and renders
a "força do sinal" badge with the per-source breakdown. Orphan entities
get a banner explaining they have no cross-references.
DB is still queried for ONE thing: the chunk text for preview cards on
the entity page, so we don't re-parse 21k markdown files on every render.
First-pass result: 9020 strong / 14520 weak / 10814 orphan; OBJ-EV1945-
PEYERLSHOTDOWN-01 now reads "Peyerl shot down UAP · fraca · 1 backlink"
in the live UI.
middleware.ts now checks profiles.role on every /admin/* request and
returns a plain 404 (not a redirect) for anonymous users and any
authenticated user without role='admin'. The 404 wording matches a
non-existent route, so we don't leak the existence of an admin area.
gutomec@gmail.com promoted to admin in the live DB.
openrouter.ts chat now collects artifacts silently during the tool-call
loop instead of streaming them to the SSE. After the model writes its
final prose (and after the forced-synthesis pass if needed), we scan
the assembled text for [[doc-id/p007#cNNNN]] citations and emit ONLY the
artifacts referenced. Duplicates are deduped by chunk_id. The persisted
citations column on messages now stores the filtered set too, so old
sessions reload with the same focused card grid.
Before: every hybrid_search hit (up to 6 per call × 5 calls = 30+ citation
cards plus crop images) flooded the chat regardless of what the model
ended up using. After: only the chunks actually woven into the answer.
Two bugs combined to make the chat reply with only cards and no prose:
1. SQL trigger rollup_session_stats was failing with "column reference
total_cost_usd is ambiguous" because the UPDATE on public.profiles had
a FROM public.chat_sessions clause and both tables expose that column.
Persistence of every user message died at this point — sessions were
created in the DB but had message_count=0 forever. Applied SQL fix
that qualifies columns with p./s. aliases (production DB updated;
ALTER FUNCTION run live, not yet codified in a migration file).
2. The free-tier model (nemotron-3-super:free) spent all 5 tool-loop
turns on hybrid_search calls and never wrote any prose, returning
content_len=0. Added a forced-synthesis pass in openrouter.ts: when
the loop exits with empty assembledText but the model did call tools,
we send ONE final turn with tools omitted from the request payload
and a user message instructing the model to answer in 3-8 sentences
citing chunks. openrouterStreamCall now accepts a `withTools` opt
so the synthesis call can disable tool calling entirely.
Verified end-to-end with the actual user query "O que os astronautas
viram? Quem foi que viu?" on /d/nasa-uap-d6-apollo-17-...:
- content_len: 0 → 947 chars (real synthesis citing Schmitt)
- artifacts: 44 preserved
- assistant message persisted with tool_calls + citations columns
Fase 3 onda 2 — entity synthesis at scale:
- scripts/synthesize/20_entity_summary.py: queries DB for entities with
total_mentions ≥ threshold + top-K verbatim chunk snippets via
entity_mentions JOIN, prompts Sonnet (Holmes-Watson voice, bilingual),
writes narrative_summary EN+PT-BR + summary_status=synthesized.
Ran on 187 candidates (mentions ≥ 20) → 158 OK · 1 err · 29 skipped (no
snippets). Combined with anchor curation: 20 curated + 158 synthesized
= 178 entities with real narrative (vs 0 a day ago).
Fase 4 — chat with typed artifacts + persistence:
- lib/chat/agui.ts: AG-UI v1 typed Artifact union (citation, crop_image,
entity_card, evidence_card, hypothesis_card, case_card, navigation_offer)
alongside the existing event types.
- lib/chat/tools.ts + openrouter.ts: hybrid_search emits up to 6
citation + crop_image artifacts per query. Provider collects them and
returns in done.artifacts so the route can persist.
- api/sessions/[id]/messages: persist artifacts to messages.citations.
- components/chat-bubble.tsx: ArtifactCard renders inline cards (citation,
crop_image, entity_card, navigation_offer) for streamed and persisted
messages. activeId now persisted in localStorage so navigation between
pages keeps the same conversation. New sessions are lazy (only when user
has zero). loadMessages hydrates tools + artifacts from server. CRUD UI:
rename (✎) + archive (🗑) buttons per session in the list.
Home search:
- doc-list-filters: input now fires hybrid_search (rerank=0 for speed)
in parallel with the local title filter; chunk hits render above the doc
grid with snippet + score + classification.
- api/search/hybrid: accept ?rerank=0 to skip the cross-encoder (1.3s vs 60s).
Auth flow:
- infra: SMTP_HOST=mail.spacemail.com:587 + DMARC published; mail now lands
in inbox. GOTRUE_MAILER_AUTOCONFIRM=false (real email verification).
- kong.yml: proxy /auth/callback on api.disclosure.top → web:3000 so PKCE
email links don't 404 at the gateway.
- web/app/auth/callback: handle both ?code= (OAuth) and ?token=&type=
(PKCE); redirect to the public site host before verifyOtp so the session
cookie lands on the right domain.
Audit deliverables:
- .nirvana/outputs/disclosure-bureau/.../systems-atelier/: 5 docs (code
analysis, tech debt, discovery brief, system arch, 5 ADRs) authored by
sa-principal that produced this roadmap. Kept in-tree for traceability.
