Two regressions surfaced in the smoke test that put Dupin from
0/3 contradictions written → 3/3 in the next run.
1. Single-doc scope was too narrow for Dupin's task.
Holmes's question about Sandia returned 4 chunks scoped to one doc,
but Dupin's terser "topic" form yielded only 1. Solution: Pass-1
tries the requested doc_id; if the head is < 2 chunks, Pass-2
widens to the whole corpus. Audit event carries `scope_widened`
so the case-writer can later flag cross-doc contradictions
distinctly. The unscoped retry hit 9 chunks and produced 3
contradictions across 3 different docs.
2. Chunk-block header was ambiguous to the model.
`--- doc-id/p007#c0042 ---` led Claude to parse `chunk_id` as
"p007#c0042" or "p007/c0042" in the JSON output. write_contradiction
then refused the FK lookup with "chunk not found". Fix:
- Explicit `doc_id:` / `chunk_id:` / `page:` lines per chunk
in the rendered block (no slashes/hashes the model can fold).
- Defensive normalizeChunkId() in write_contradiction.ts strips
any pNNN prefix and keeps only the trailing cNNNN — so the
writer is forgiving without losing strictness on the topic +
statement validation.
Smoke now produces (job 6deddf4b):
R-0001 (3 chunks) — Color of the fireball(s) in incident summaries
R-0002 (2 chunks) — Geographic confinement of green-fireball sightings
R-0003 (3 chunks) — Whether the phenomenon was exclusively green or
also red/multicolored
R-0003 connects 3 different declassified documents: the Los Alamos
conference (exclusively-green category), a retrospective document
(red OR green), and Incident 229 (red, blue, yellow — no green).
Real cross-doc contradiction, fully cited.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Adds the third AI detective in the Investigation Bureau runtime: C. Auguste
Dupin, who scans a corpus shortlist for pairs (or small groups) of chunks
that cannot both be true under any ordinary reading.
Runtime:
- prompts/dupin.md — discipline (no contradiction without ≥2 distinct
chunk_ids; reject same-vocabulary near-misses; FEW high-confidence
over MANY weak ones; emit `NO_CONTRADICTIONS` when corpus is silent)
- src/detectives/dupin.ts — hybridSearch with k=18 (more chunks than
Holmes because contradictions emerge from comparing dispersed
claims), strict JSON-array parsing, AT MOST 3 contradictions per call
- src/tools/write_contradiction.ts — validates topic + ≥2 positions
drawn from ≥2 distinct chunks, resolves chunk_pk via DB lookup
(rejects positions citing unknown chunks), INSERTs into
public.contradictions + writes case/contradictions/R-NNNN.md
- orchestrator: new `contradiction_scan` kind dispatching to runDupin;
payload { topic, doc_id?, lang?, context_chunks? }
Chat + UI:
- request_investigation gains kind=contradiction_scan + topic arg;
triggered detective auto-resolves to dupin
- chat-bubble inline card renders dupin in orange (#ff8a4d) to
distinguish from holmes (cyan) and locard (green)
- /jobs/[id] page swaps title + subtitle + tone per detective;
"Question" label becomes "Topic" for contradiction_scan
- /api/jobs/[id] hydrates public.contradictions when outputs[] surfaces
contradiction_ids
- job-status-poller renders ContradictionCard: topic + N positions
(verbatim statements quoted, stance label optional, link to source
chunk) + optional notes panel, with resolution_status badge
(open/resolved/irreconcilable)
R-NNNN shares the contradiction_id_seq slot with relation per
CLAUDE.md naming — same conceptual class (a connection between two
pieces of evidence in tension).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Luiz Gustavo