Turn the SessionStart static guidance into a concrete recall trigger — search
Scribe before answering about the operator projects/people/places/decisions or
starting a task, and pass the active project id to scope results — instead of a
vague "search for related work". Step 4 (pull-path sharpening); the
cross-encoder rerank half is deferred until auto_inject telemetry shows
precision is the bottleneck.
Scribe: project 2, milestone 93, task 1034.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Xz4j1H7pjYSjKsEpgcNH5E
New UserPromptSubmit hook (scribe_autoinject.sh) + GET /api/plugin/retrieve that
surface the TITLES (never bodies) of the few notes clearing four anti-bloat
gates: a per-user confidence threshold (stricter than pull search), a margin
gate, per-session dedup (exclude_ids), and a top-k ceiling. Each retrieval is
logged to retrieval_logs as source=auto_inject so the threshold can be tuned
from data. Per-user config (enable / threshold / top-k) is DB-backed via
/api/settings with a Settings UI card; defaults enabled, threshold 0.55,
top-k 3 (conservative — tune once auto_inject telemetry accrues).
Scribe: project 2, milestone 93, task 1033.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Xz4j1H7pjYSjKsEpgcNH5E
Add retrieval_logs (migration 0068) + services/retrieval_telemetry with a
fire-and-forget record_retrieval(), wired into the MCP search tool
(source=mcp_search) and the REST search route (source=rest_search). Captures
query, effective params, and the per-result score distribution so KB-injection
thresholds can be tuned from data rather than guessed.
Scribe: project 2, milestone 93, task 1032.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Xz4j1H7pjYSjKsEpgcNH5E
Move semantic_search_notes off the full-table Python cosine scan onto a native
pgvector column: indexed ORDER BY embedding <=> :q LIMIT k (HNSW, cosine).
Migration 0067 enables the extension, converts the JSONB embedding column to
vector(384) (stale-dim rows dropped and regenerated by the startup backfill),
and builds the HNSW cosine index. Postgres image moves postgres:16-alpine ->
pgvector/pgvector:pg17 across prod, quickstart, and CI.
Scribe: project 2, milestone 93, task 1031.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Xz4j1H7pjYSjKsEpgcNH5E
bvandeusen