dev: reh3376_dev01 -> main#482
Merged
Merged
Conversation
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…assignment, gauge + rule (Epic B1) maxThemes was an inline ceil(n/10) equation → HIDDEN_THEME_TARGET_RATIO (default preserves it). NOISE observations (previously dropped from the hierarchy forever — the 94% coverage gap's mechanism) now density-assign to their nearest theme when cosine ≥ HIDDEN_THEME_ASSIGN_SIM_THRESHOLD (default 0.70; edges only, no new themes; below-floor stays unthemed honestly). New per-space coverage gauge mdemg_neo4j_conversation_coverage_ratio (collector Query 5) + evaluator rule low_conversation_coverage (CONVERSATION_COVERAGE_ALERT_FLOOR 0.2, 6h ForDuration for convergence). Audit bonus: caught WeightIntegrityRules querying metric_samples with recorded_at — the column is `time`; the null-weight rule had been silently erroring every evaluation since it shipped (Debug-only logging — the SUPERVISOR-002 finding in action). Both rules fixed + a pin test bans recorded_at against metric_samples. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…it CLI (Epic B2) repair: tombstones childless layer>=2 abstraction nodes (no inbound ABSTRACTS_TO|GENERALIZES|GENERALIZES_TO — 10,395 live in mdemg-dev, churn-era debris). Recoverable (is_archived=true + archived_reason), batched, dry-run default, --limit for small-batch-first verification. trace: per-node grounding audit — direct children, transitive per-layer census, grounded/ungrounded verdict, sample path to L0. Live data note: GENERALIZES alone over-counts (19,147) — ABSTRACTS_TO is the hidden layer's actual child edge; pin test guards the predicate. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…nsolidate API + periodic log (Epic B3) /v1/conversation/consolidate now reports themes_updated and noise_assigned alongside themes_created. The periodic-consolidation log condition also gains both — with stable theme identity (PR-A), created is usually 0 on healthy cycles, which would have silenced the success log entirely (the silent-success bug class). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
… empty, clustering included archived debris, coverage gauge gated on min-obs Three defects only the live run surfaced (Tier 3 forcing function): 1. KMeans never emits label -1, so the density-assignment hook received an always-empty noise list; the min-samples/max-themes/nil-centroid drops now feed their members into the noise pool instead of silently excluding them from the hierarchy. 2. fetchClusterableConversationObservations had no is_archived filter — it clustered 4,838 observations of which only 183 were live (MAINT-LIVE tombstones), building themes on archived debris. Both fetch variants now exclude archived. Live effect: 24 debris themes swept to 5 clean ones; second cycle themes_updated=5/created=0 (stable identity on real data). 3. Coverage gauge gated on CONVERSATION_COVERAGE_MIN_OBS (default 50, DH-005 confidence-threshold pattern) — tiny scratch/test spaces (2-13 observations) emitted 0.000 and would have alarmed forever (born-firing alert hazard). Sentinel -1 skips emission. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…print complete (Epic B5) Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…on (Epic 1) The restart counter only ever incremented — a once-a-week transient permanently killed a worker after 3 weeks. Budget is now a sliding window (restarts older than the window are forgotten); permanent failure requires >SUPERVISOR_MAX_RESTARTS within SUPERVISOR_RESTART_WINDOW_MIN. New Go() registers+launches workers after Start (the API server starts its loops late); nil return without ctx cancellation now means intentional completion, not a restart. Start() outlives dead workers so late workers stay supervised. Config: SUPERVISOR_MAX_RESTARTS (3), SUPERVISOR_RESTART_WINDOW_MIN (60), SUPERVISOR_BACKOFF_BASE_SEC (5). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…Epic 2) Every scheduler/loop goroutine now runs under the goroutine supervisor (panic recovery + sliding-window restart budget) instead of as a bare go func() whose panic silently killed the subsystem forever: - api.Server (6): periodic-consolidation, context-cooler, space-prune-scheduler, weekly-gap-interviews, scheduled-sync, rsic-macro-cron — via injected SetSupervisor(sup.Go) + goSupervised helper (bgWg brackets each run; stop channels remain the graceful path and return nil = no restart) - ape (3): rsic-watchdog, rsic-store-flush, signal-learner-flush - backup schedulers (2): neo4j-backup-scheduler, tsdb-backup-scheduler — their NewServer construction-time Start() moved to StartSupervisedBackground() (serve.go) so the hook exists first - serve.go (1): llm-fastfail-burst-flush via sup.Go All owners keep a nil-hook fallback (legacy bare goroutine), so tests and non-server callers are unchanged. Buffered TSDB writers are explicitly out of scope (TSDB-CONSUME-001 owns flush observability). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…res (Epic 3) A rule whose SQL errors was a silently-disabled alert: failures were logged at Debug and nothing watched the watcher — bitten twice in one week (HIDDEN-WEIGHT-001 null-weight rule + the recorded_at column bug, both found by accident in later sprints). Query failures now log at Warn, and after ALERT_RULE_FAILURE_THRESHOLD (default 3) consecutive failures a high-severity meta-alert fires directly via the dispatcher (not via a rule — the meta-channel must not depend on the failing mechanism). Service label is rule-health-<rule-id> so concurrent failing rules don't cooldown-suppress each other; success re-arms. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…ht (Epic 4) Insight 26 computes the error rate over a 24h window with no recency requirement, so a 35-min jiminy.synthesize timeout burst at 02:00 UTC kept re-firing HIGH 'LLM error rate spike' (and escalating to CRITICAL 'Jiminy Pipeline Critical') every RSIC micro-cycle for 12+ hours after the incident self-resolved (live, 2026-06-11). LLMPerformanceSummary now carries LastErrorAt (MAX(time) over errored rows); the spike insight fires only when the most recent error is within RSIC_LLM_ERROR_RECENCY_MIN (default 60; 0 disables the gate). A zero LastErrorAt (older data source) keeps legacy behavior — the gate never widens silently. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…utages A TSDB-level outage fails every rule at once; per-rule meta-alerts would storm ~19 alerts duplicating the health prober's signal. At the failure threshold the evaluator now distinguishes: other rules succeeding recently → per-rule rule-health alert (broken SQL class); nothing succeeding within threshold×interval → ONE alert-evaluator-degraded alert per outage. Success re-arms both. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…ction lifetime Live-smoke surprise during SUPERVISOR-002 Epic 5 (own fix-commit per policy): jiminy.evaluate_llm was failing at 94.9% (657 'context canceled' rows/24h). The post-tool-observe hook POSTs /v1/jiminy/feedback with curl --max-time 5, but per-item Tier-2 outcome classification routinely outlives the connection — the request ctx then cancelled every in-flight LLM call and outcomes silently degraded to the keyword heuristic. Same defect class as GUIDANCE-SYNTH-001's warm-path budget. handleJiminyFeedback now uses context.WithoutCancel(r.Context()) with its own server-side budget JIMINY_FEEDBACK_TIMEOUT_MS (default 60000, 0 = unbounded). The hook keeps its fire-and-forget 5s curl. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…ll-caught) The Epic 5 TSDB-stop drill caught the freshness-window heuristic misclassifying outage ONSET: rules were succeeding seconds before the stop, so lastAnySuccess was fresh when the first rules hit threshold — 2 per-rule alerts leaked before the aggregate fired. The discriminator is now streak-relative: per-rule only when some other rule succeeded AFTER this rule's failure streak began; otherwise global, once per outage. Unit-pinned with the drill scenario (TestRuleFailureStreak_OutageOnsetIsGlobal). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
….md — sprint complete (Epic 6) Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Epics 1-4 land together — they share the restore-path signatures. 1. Checksum gate (Epic 1): the manifest SHA-256 was written at backup time and never read; a corrupted .mdemg restored silently. The gate now fails closed before import; legacy manifests without a checksum warn and proceed. 2. Snapshot completion polling (Epic 2): the pre-restore safety snapshot was raced with time.Sleep(2s) against an async backup goroutine. waitForBackupJob now polls the jobs queue until completed, failing closed on failure/cancel/vanish/timeout (BACKUP_SNAPSHOT_WAIT_TIMEOUT_SEC, default 300). 3. Count validation (Epic 3): manifest NodeCount/EdgeCount are whole-database counts and cannot validate file contents (they diverge on partial backups) — new additive file_node_count/ file_edge_count/file_observation_count manifest fields are counted from the exported chunks; restore re-counts the file and hard-fails on mismatch (truncation class). Importer accounting divergence under CONFLICT_SKIP is warn-only, surfaced in a job-result validation block. 4. dockerbin routing (Epic 4): the legacy .dump restore shelled out to bare "docker" (the launchd-minimal-PATH class NOSILENT-001 fixed for TSDB); now routes via dockerbin unless the operator set a non-default FullCmd. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
… staleness rules (Epic 5) The default-ON Neo4j backup scheduler had zero jobhealth coverage — the inverse of NOSILENT-001 (which wired only tsdb-backup). The scheduler now waits on each triggered job (its Trigger is queue-async; a fire-and-forget report would always claim success) and reports outcome via SetResultHook → jobhealth.Report with job_name='neo4j-backup' (wired in SetTSDBClient next to the tsdb hook). The staleness rule is generalized into a jobStalenessRule factory; Neo4jBackupStalenessRule (neo4j_backup_no_recent_success, Service scheduled-job-staleness-neo4j, window = partial interval × 2 unless BACKUP_JOB_STALENESS_HOURS overrides) registers when BACKUP_ENABLED. The existing tsdb rule is pinned unchanged through the refactor. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
With the neo4j_backup_no_recent_success rule registered, a fresh install would alarm honestly-but-noisily for up to 24h (the scheduler's first tick). The scheduler now runs an initial partial backup BACKUP_INITIAL_DELAY_MIN (default 5) minutes after start, so every install has a backup — and a quiet staleness rule — within minutes. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…t just made (drill-caught) The Tier 3 round-trip exposed that the backup system was a no-op for this database: BACKUP_RETENTION_MAX_STORAGE_GB had a comment/code default drift (documented 50, code read 2), and with RunAfter=true the quota pass deleted each 3-4 GB whole-database backup ~80 ms after it completed (log: 'backup completed' → 'retention cleaned backups deleted_count=1 freed_bytes=<exactly the new backup>'). Three fixes: 1. Quota retention NEVER deletes the newest backup of each type — a quota smaller than one backup degrades to 'over quota, keep it' with a loud warning, not 'delete the only backup'. Sparse-file unit tests pin both the two-backup and only-backup-oversize shapes. 2. Default quota raised to the documented 50 GB. 3. BACKUP_SNAPSHOT_WAIT_TIMEOUT_SEC default 300 → 3600: the live whole-database export runs ~15 min; the 5-min wait made the initial scheduled run report failure (jobhealth correctly recorded it — the wiring works) while the backup actually completed later. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…tions always failed (drill-caught) The Tier 3 round-trip's real restore failed with ConstraintValidationFailed: conversation observations carry path=NULL in Neo4j (which memorynode_path_unique (space_id, path) ignores), but the exporter serializes NULL as the proto default "" and the importer wrote the literal empty string unconditionally — so the second observation node in any restore collided. Every restore containing 2+ observation nodes had always been broken; this was invisible because no backup had ever been restore-tested (the sprint's premise, demonstrated). nodeProps now omits empty path/name (null fidelity); unit-pinned. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…OG + CLAUDE.md — sprint complete (Epic 7) Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…pic 0) Triage correction baked in: the 5,397-node burst was the Context Cooler via the session-start hook's /v1/conversation/graduate (uncapped backlog sweep of pre-DH-004 graduation-bug victims), NOT RSIC — mis-attributed because tombstone_stale stamps no metadata and two archive-reason property names coexist. RSIC's own issues stand: trigger-race cycle storm (~20-30k/day) and snapshot/executor predicate drift (rollback restores nothing). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…c A) EvaluateTrigger checked activeCycles/lastTrigger, but both were written only by RecordTrigger — which callers invoke AFTER RunCycle completes. For a cycle's entire multi-second duration every concurrent trigger passed every gate: ~20-30k micro cycles/day live (4 spawning within 50ms of each tool-use burst), the 300s cooldown effectively nonexistent, llama-server saturated (the recurring synthesize/ evaluate_llm/intent_translate timeout cascades), and RSIC actions dispatched at storm frequency. Admission now reserves the active + cooldown (+dedupe) records under the same lock that performs the checks; RecordTrigger updates the reservation with the real cycle ID; CompleteCycle clears the active slot; a failed cycle still cools down. Unit-pinned: 50 concurrent triggers admit exactly one; cooldown holds from admission through completion and failure. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…ate (Epics B+C)
Epic B — every archival is now attributable:
- tombstone_stale stamps archived_at + archive_reason
('rsic_tombstone_stale') + archived_cycle_id (bare is_archived made
the 2026-06-11 burst forensics mis-attribute the Context Cooler's
5,397-node sweep to RSIC for hours).
- Canonical property name is archive_reason; concepts.go (the one
archived_reason writer) migrates; historical rows keep the old name
(readers coalesce; no data migration).
- Context Cooler tombstone step capped per run
(COOLER_TOMBSTONE_MAX_PER_RUN, default 500; 0=unlimited) with a loud
cap-reached warning — the incident sweep was a single uncapped run
over the pre-DH-004 volatile backlog via the session-start hook's
graduate call.
Epic C — rollback restores the right nodes:
- The executor and the rollback snapshot now share ONE candidate
predicate (tombstoneStaleCandidates const). RSIC-VALIDATE-001 had
updated only the executor; the snapshot captured the old unlinked
set, so rollback restored nodes that were never archived
(restored_count=0 live). Drift class eliminated, pin-tested.
- Rollback also clears the new attribution fields on restore.
Epics share the tombstone Cypher — combined commit (disclosed).
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
The default consolidation hidden step now assigns only ORPHAN L0 nodes (no GENERALIZES edge) to their nearest existing pattern and clusters the unassigned remainder into new CUIDv2 patterns. Existing patterns are NEVER destroyed or re-clustered, so their node_ids (and every reinforcement/abstraction edge referencing them) survive every cycle (~0% churn), and only the small orphan set is clustered (no full-52k re-cluster → much lower CPU). Closes the structural ~25% residual churn HIDDEN-CHURN-002 disclosed. - fetchOrphanBaseNodes (fetchAllBaseNodes refactored to share fetchBaseNodes with an orphanOnly NOT-GENERALIZES filter). - assignOrphansToPatterns: Go-side nearest-pattern (cosine >= threshold) → batch GENERALIZES edges (cosine weight, CUIDv2 edge id) + incremental-mean centroid update; mirrors assignNoiseToThemes. Returns unassigned remainder. - IncrementalHiddenNodes + clusterNewBaseNodes (create-only, reclassification skipped — it is a churn source). hiddenStep dispatches on HIDDEN_INCREMENTAL_ENABLED (default true); HIDDEN_INCREMENTAL_ASSIGN_SIM_THRESHOLD (0.80). - Explicit full re-cluster preserved: consolidate `full_recluster` request field → hidden.WithFullRecluster(ctx) override + `mdemg concepts recluster` CLI. Build + golangci-lint + config-guard clean. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…tests (Epic 3) Extracted nearestPatternByCentroid + incrementalMean as pure helpers (used by assignOrphansToPatterns) for unit-testability. Tier 1 (hidden_identity_test.go): assign-threshold default/override; nearest-pattern selection (match/below-threshold/empty); incremental-mean math. Tier 2 integration (TestHiddenIncrementalAssignment): form patterns → ingest more base nodes → incremental re-consolidate → assert ALL original pattern node_ids survive (~0% churn) and pattern count never drops (no deletes). hidden/config unit suites green; go vet -tags=integration clean; lint 0. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…ive (Epic 5) Incremental clustering shipped: live Tier-3 on mdemg-dev shows 100% identity survival (4484/4484, vs CHURN-002's 75%), patterns only added (no deletes), steady-state cycle ~10s vs ~360s full re-cluster. Flips the CHURN-002 must-fix obligation to REMEDIED across the canonical docs: feature doc (open-defect section → remedied + CHURN-003 mechanism + live result), CLAUDE.md (CHURN-002 residual → remedied + new CHURN-003 architecture note), CHANGELOG (Fixed entry), ROADMAP §5 (→ SHIPPED), + CHURN-003 post.md. CMS task obligation marked resolved. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…, dashboard-fixes, grafana-audit-002) Durable near-term execution queue re-derived 2026-06-25: A) jiminy-actionability-001 incomplete epics (Lever C/Epic 5 — trigger fired, + Epic 4 tune, Epic 1 harness, Epic 6 post.md); B) DASHBOARD-FIXES-001 (10 UI tab bugs, plan ready); C) GRAFANA-AUDIT-002 (re-run grafana_panel_audit.py — the 17-EMPTY result is stale after ~10 metric-changing sprints — + add panels for new unpanelled metrics). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
… freeze, rsic badge (Epic 1) - backup.js: read created_at/size_bytes/spaces (was created/size/space_id → blank columns); Restore dropdown now works. - handlers_backup.go: /v1/backup/list emits a response-time status="completed" (a listed manifest is always a completed artifact) so the UI Restore filter + Status column work. UATS backup_list.uats.json asserts status + the UI-depended fields (created_at/size_bytes/spaces); hash re-pinned (UxTS contract). - learning.js: source the frozen flag from /v1/learning/stats freeze_state (authoritative) — freezeStatus endpoint has no top-level .frozen, so a frozen space rendered "active". - dom.js: 'running' + 'completed' are healthy badge states (RSIC State badge rendered red when healthy). Live-verified: /v1/backup/list carries status='completed' + created_at/size_bytes/ spaces; UATS hash valid; build + lint + vet clean. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…tribution, rsic poll (Epic 2)
- plugins.js: Details button label now toggles inside the handler (render-time
ternary left it stuck at "Details"); detail is fetched on SHOW only (was
re-fetching on hide).
- memory.js: surface observation_count (present in /v1/memory/stats, never
shown); render the memoryDistribution subscription that was fetched every 30s
and never used — graph phase + edge count + phase alerts (e.g. phase_saturated).
- main.js: immediate pollRsicTab() on switchTab('rsic') so the State/health
badges aren't "unknown" for up to 10s on mount.
Build OK (embedded UI bundles); live Playwright verification in Epic 4.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
… features config_key, training tables (Epic 3) - config.js: remove the dead first cb.onchange (immediately overwritten by the second, which also updates the label); single handler now. - status.js: State badge reflects 'degraded' instead of a hardcoded 'running'; surface the per-subsystem healthz.checks map (hidden before) so a degraded status shows WHICH subsystem is down. - handlers_features.go: populate config_key for the features with a real enable flag (embeddings→EMBEDDING_PROVIDER, anomaly_detection→ANOMALY_DETECTION_ENABLED, hidden_layer→HIDDEN_LAYER_ENABLED, scraper→SCRAPER_ENABLED). learning/retrieval/ conversation are always-on core (no enable flag) → config_key honestly stays empty. - training_data.js: render result.tables explicitly (array/object/scalar) instead of raw coercion. Build + golangci-lint clean. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…le timeout + docs (Epic 4) - 7 TestDashboardFixes001 Playwright assertions (backup columns + restore dropdown, learning freeze badge, rsic green-when-running, plugins label toggle, memory observations, no console errors on fixed tabs) — all green live. - Fix pre-existing TestInteractiveRsic::test_trigger_dry_run_cycle flake (NOT a regression from this sprint — RSIC trigger path untouched): the dry-run cycle runs the LLM reflector and legitimately takes ~30.5s under load (live-measured, returns 200), but the test's expect_response budget was 30000ms — undershot by ~0.5s. Bumped to 90000ms + accept the cooldown-409 (correct rate-limit) as a skip, not a failure. - CHANGELOG Fixed entry + sprint post.md. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…nal (CI has no backups)
CI's fresh stack has no backups, so the $.backups[0].{created_at,size_bytes,
spaces,status} assertions I added failed (path not found). Marked them
optional:true — the runner SKIPs an absent optional path (uats_runner.py:714),
so they assert when a backup exists (live/local — verified PASS) and pass on
an empty list (CI). Hash re-pinned; verify-hashes valid.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Re-ran grafana_panel_audit.py vs current live TSDB: 139 PASS / 7 EMPTY / 0 FAIL / 18 SKIP (vs audit-001's 130/17/0/18 — improved, no broken queries). Plan + audit_summary capture the 7 EMPTY triage targets + the new unpanelled gauges (jiminy_surfaced_*, null_weight_edges, conversation_coverage, etc.). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…pics 2-4) Phase 2 of the dashboard re-audit. Fixed overview/Request Latency Distribution (removed the dead _p50 target — recorder emits only _p95/_p99). Added panels for new operator-valuable gauges that had none: Surfaced Actionable Fraction (mdemg-jiminy), Null-Weight Abstraction Edges + Conversation Coverage Ratio (mdemg-neo4j) — all confirmed PASS with live data. Post re-audit: 143 PASS / 6 EMPTY / 0 FAIL (remaining EMPTY documented legit-empty; one disclosed no-producer gap: llm_interactions.quality has no writer). post.md + audit_summary + pre/post audit_results + CHANGELOG + backlog ledger (C → shipped). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…d (Epic 5a loose ends) Formalize the Epic-4 ad-hoc probe into scripts/jiminy_actionability_ab.py (--arm/--base-url/--queries-file/--json; surfaced actionable-fraction + type distribution per arm). Write the missing post.md; feature-doc name reconciled to the shipped jiminy-actionability.md (not renamed — CLAUDE.md/CHANGELOG ref it). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…ism + score audit (Epics 5b+5c)
Closes the Epic-4 finding that retrieval surfaces no actionable candidates for
most contexts (so Lever A's quota had nothing to promote). fetchActionableCandidates
runs a targeted Neo4j vector query over role_type IN ('constraint','correction')
nodes by embedding similarity (cosine sim ≥ JIMINY_GUIDANCE_CONSTRAINT_SIM_FLOOR,
top JIMINY_GUIDANCE_CONSTRAINT_INCLUDE_TOPK), mirroring matchConstraintCodeByEmbedding.
The returned nodes are ALREADY KNOWN actionable (query filters role_type), so they
are typed correctly — sidestepping the retrieval-path role-classification gap (the
adapter drops role_type → classifyRetrievalItem mis-types everything as learning).
Merged into Guide()'s pool (dedup by node_id) behind JIMINY_GUIDANCE_CONSTRAINT_BIAS_ENABLED
(default false); Lever A's composition then promotes them.
RRF-SCALE-001 audit (leverc_score_audit.md): scale-invariant — the only threshold
gates the vector-index COSINE sim ([0,1], stable), NOT the RRF RetrieveResult.Score;
config-driven, no hardcoded literal; consulting score-floor gates untouched.
Build + lint + config-guard clean; guard unit test (nil driver/topK<=0/empty embedding → nil).
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…ve-smoke find) Epic-5d A/B caught it: the index-scan form (db.index.vector.queryNodes top-50 then filter role_type) returned 0 actionables — constraint/correction nodes are ~0.1% of MemoryNodes, so they almost never rank into the global top-50, and the merge silently no-op'd (leverc_actionable_merged absent from debug; the apparent A→B lift was substrate drift). Replaced with vector.similarity.cosine over the ROLE-FILTERED set directly (only ~hundreds of actionable nodes — cheap), which guarantees the top-K actionables are found. Same cosine [0,1] scale (RRF-SCALE-001-safe). Verified live: leverc_actionable_merged=5; controlled A/B actionable fraction 11.1%→47.7% (clears the ≤60%-abstraction milestone). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
… 5d+5e) Controlled live A/B: surfaced actionable fraction 11.1%→47.7% (4.3x) with Lever C on — clears the ≤60%-abstraction milestone Lever A couldn't move; surfaced constraints query-relevant. ab_results.md + feature doc + CLAUDE.md note + CHANGELOG + backlog (A → complete). All levers default-off; operator recommendation: enable Lever C + Lever B. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…fig (enabled live) Operator goal >90% actionable: achieved + enabled on the live stack. Sweep shows SIM_FLOOR 0.30-0.60 all hit 100% actionable (Lever C topk=15 + Lever A cap=0.1 quota=0.9); 0.70 drops to 66% (cliff). Chose SIM_FLOOR=0.60 — highest floor still filling 10 slots, best relevance. Honest tradeoff documented: 100% actionable fully suppresses abstraction context, and to fill 10 slots some constraints are moderately (not highly) relevant — this substrate lacks ≥9 cosine≥0.7 constraints per arbitrary context. Live-confirmed 10/10 actionable incl. an unseen query. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> EOF
…(enabled live) Operator chose relevance-balance over maximal >90%. Live config: SIM_FLOOR=0.70 (highly-relevant constraints only) + MIN_ACTIONABLE_FRACTION=0.3 (guarantee they surface) + ACTIONABLE_WEIGHT=1.5, NO abstraction cap (context preserved). Live-measured: 25% actionable (9 constraint/36) + 75% relevant context; every surfaced item on-topic (TSDB-migration context → TimescaleDB/schema constraints + 003_metric_types/tsdb_schema_meta patterns/learnings). The >90% config retained as reference (padded + suppressed context). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
… fresh contexts 6 additional contexts (deploy/RRF/LLM-timeout/observability/maintenance/embeddings): composition relevance-driven (0-50%/query duty-cycle, 14% overall), 0% where no >=0.70 constraint exists (no padding), surfaced items on-topic. Config generalizes. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…(opt-in) Recommended relevance-balanced settings (enabled live; verified across contexts) + the maximal >90%-actionable alternative, both commented/opt-in. Lever C ships default-off in code; .env.example carries the operator guidance. Full A/B + tradeoff: docs/development/jiminy-actionability-001/leverc_sim_floor_sweep.md. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…alert_embedding_regression) The RSIC zero-tolerance check #28 (self_reflect.go:526) fired CRITICAL alert_embedding_regression every cycle. Root cause: the embedding recorder reads call_site from a context-attached EmbeddingMeta, and 3 recorder-wired embed paths attached none -> empty call_site (~4k/day in mdemg-dev; onset 2026-06-23 with the Lever C / jiminy-actionability Guide() volume). Full audit of every .Embed/.EmbedBatch in internal/ found exactly 3 metaless sites; all fixed: - jiminy/service.go deduplicateItems: context.Background() -> threaded ctx + EmbeddingMeta{CallSite:"jiminy.dedup", SpaceID} (the dominant producer; re-embeds every guidance item per Guide()). - api/context_fingerprint.go derive + getOrBuild: attributed via deriveQueryFingerprint -> EmbeddingMeta{CallSite:"context_fingerprint"}. CLI one-shots wire no embedding recorder (exempt). The zero-tolerance check is left intact -- a valid guard that caught a real gap. Tier-3 live: rebuilt binary, restarted server, 4 Guide() + 2 ?context=auto retrieves -> 325 new rows, 0 empty call_sites; context_fingerprint (242) + jiminy.dedup (18) attributed. Data hygiene: pre-fix empties in the 24h window relabeled to sentinel legacy-unattributed (4,168 rows, reversible UPDATE) -> window 0; older compressed-chunk empties age out via 90d retention. New: TestDeduplicateItems_AttributesCallSite (capturing embedder). jiminy/api suites green; lint 0. Feature doc: docs/features/embedding-attribution.md. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
… reh3376_dev01
reh3376
approved these changes
Jun 26, 2026
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mdemg modelCLI + pluggable Fetcher interfaceAuto-generated PR from reh3376_dev01 push