Pipeline mode calls retrieve() three times (NREM, Early REM, Late REM).
Previously each call re-imported and re-instantiated SentenceTransformer
("all-MiniLM-L6-v2"), allocating ~200MB and spending 30-60s on disk->CPU
init three times sequentially. lru_cache(maxsize=1) makes the load happen
once per process.
Expected: pipeline runtime drops ~100-180s, removes 2x redundant 200MB
allocations, and reduces transient memory pressure during the same window
when other nightly jobs may run.
Three changes to reduce voice-note transcription latency on the VPS:
- Model: large-v3 -> distil-large-v3 (~6x faster, near-identical English
accuracy; language is already hardcoded "en").
- beam_size: 5 (default) -> 1 (~3-4x faster on clean audio).
- cpu_threads: 8 -> 4 (the box has 8 cores running api, dreamer, watcher,
nextcloud concurrently; ctranslate2's inter-op pool plus context switching
makes 4 effectively faster than 8 here).
Combined effect expected ~10-15x over prior config. No accuracy regression
expected for the voice-note use case (English, clean audio, domain terms
already supplied via initial_prompt).
Writers now enforce type and created_at:
- encoding.py: ValueError raised at write_embeddings_batch if row dict lacks
'type'. created_at remains SQL-supplied (NOW() server-side). ON CONFLICT
DO UPDATE now also rewrites type=EXCLUDED.type and preserves the original
created_at via COALESCE(embeddings.created_at, EXCLUDED.created_at) — a
re-ingest re-classifies type but does not overwrite a backfilled mtime.
- ingest_conversations.py: same assertion. ON CONFLICT intentionally keeps
EXCLUDED.created_at semantics (Aaron-AI conversation created_at tracks
convo.updated_at; re-runs should refresh).
- Column-level NOT NULL is not added; application-layer raise gives a
faster, more debuggable failure than a Postgres constraint error.
Retrieval propagates type into chunks:
- retrieve() SELECT now includes type; chunk dicts carry "type": etype.
- WHERE clause built dynamically from excluded_sources and the new
--type-filter CLI arg (experimental, default None, pgvector retrieval
only — Graphiti chunks have no embeddings.type to filter on).
- retrieve_graphiti unchanged; its chunks lack the type field.
Manifests carry type_distribution per stage:
- dream_pipeline writes stage_data[<stage>]["type_distribution"] for nrem,
early_rem, late_rem — a Counter over chunk types, filtering None so
Graphiti chunks (when DREAMER_SUBSTRATE=graphiti) don't pollute the
distribution. Pgvector chunks always carry type post-backfill; if None
appears, the backfill or writer enforcement has regressed.
Verification:
B1 force re-ingest of "Finite and infinite games -- James Carse.pdf":
all 84 chunks preserved created_at=2026-04-27T06:11:55Z
B2 missing-type assertion raises ValueError, no row leaked to embeddings
B3 ast.parse(*) clean; EXPLAIN renders for {no excl/no filter,
type_filter only, excl 2 elems, excl 1 elem edge case, both};
all five plans use HNSW index scan with correct Filter clauses
C1 retrieve("nrem") returns 8 chunks each carrying "type" key
C2 type_distribution = {'document': 5, 'chatgpt_conversation': 3} —
2 distinct types, 62.5/37.5 split (looser bar: >=2 types,
no single type >=90%)
The type and created_at fields are now load-bearing: every dream manifest
emits type_distribution per stage. Reverting the backfill makes the
distribution show NULLs at every dream run.
Backfills 9,815 type-NULL rows to 'document' (extension classifier, 100% hit)
and 12,109 created_at-NULL rows via five batches:
C1 filepath_stat: 9,649 filesystem mtime via metadata.filepath
C2 watcher_state_unique: 676 unique source-name lookup in watcher_state
C3 watcher_state_collision_pick_latest_of_N:
234 collision; most-recent watcher mtime
C4 chatgpt_export: 1,548 convo create_time from export JSONs
(168/168 distinct convo_ids resolved)
C5 sentinel: 2 2026-04-26T00:00:00Z (pgvector migration date)
Provenance written to metadata.type_source and metadata.created_at_source
on every row changed by this run. type_source is empty on rows where the
type field was already populated pre-run; in those cases the snapshot
table is the source of truth for what changed.
Snapshot: embeddings_backup_2026_05_03 (CREATE TABLE AS SELECT id, type,
created_at, metadata FROM embeddings; 14,069 rows; revertable via id-join).
Verification:
V1 live counts: type_null=0 ca_null=0
V2 spot-check 11 rows across cohorts: provenance correct
V3 snapshot intact: 14,069 rows, pre-backfill NULL counts preserved
V4 cross-check vs snapshot: reconciles per-provenance to dry-run
Read-side use (B + C: writer enforcement + minimal retrieval read) deferred
to a separate session. The backfill is complete and verified, but the type
and created_at fields are not yet load-bearing — every current reader still
ignores them. Without B+C this lands as data prep, not behavior change.
Read-only inspection of the frame data Mistral produces in Stage 2, in
service of Track 2 substrate design (Step 2.4 operation set spec).
Artifacts:
- New SQL view `stage2_frames_v` over `stage_3_queue.stage2_metadata`
(CREATE OR REPLACE; idempotent; raw JSONB exposed alongside structured
fields so worker-version drift is inspectable).
- Analysis script: frequency, label-hygiene collisions, per-doc count,
co-occurrence (top-K), file-type \u00d7 frame cross-tab, worker-version split,
data-gap accounting, corpus-wide coverage.
- JSON sidecar for diff-across-runs reproducibility.
- Markdown report with explicit Track 2 viability section.
Headline findings:
- Frames cluster meaningfully on the framed-doc subset (subject to
validation on larger samples for the file-type cross-tab).
- Only 56% of corpus has frame coverage. 198 conversation sources bypass
Stage 2 by design (`ingest_conversations.py` writes directly to
embeddings); 339 short docs (<2000 chars) skip Mistral by char-gate;
12 Stage 2 failures.
- All 14 voice notes and all 39 dream outputs are in the data gap.
Primary capture and self-reflection channels are silent to the frame
system. Dreamer cannot frame-condition on its own output.
- 54 normalized label collisions (`Professional Experience` vs
`Professional_Experience`, etc.) — any router must normalize first.
- "Education" is a near-universal frame (36% of frame-extracted docs);
cheap 20-doc hand-inspection diagnostic in report \u00a78 to distinguish
prompt artifact from corpus shape.
- File-type \u00d7 frame stratification is concrete signal that ties to
Improvement #2 (`embeddings.type` backfill); currently NULL for 71% of
rows.
No production code touched. View is droppable; script is read-only.
The cumulative `retrieved_sources` list (capped at 500, trimmed to 400 on
overflow) was hiding ~40% of the corpus from Early REM and Late REM after the
cap filled. The architecture and reframe both specify session-scoped novelty,
not corpus-lifetime exclusion. Same NREM-shape divergence as the 2026-05-02
NREM exclusion fix.
Changes:
- Drop `previously_retrieved` load; pop the legacy `retrieved_sources` key
from `dreamer_state.json` at pipeline start.
- Early REM excludes only the current session's NREM high-scorers.
- Late REM excludes only the current session's NREM \u222a Early REM.
- Remove the across-night accumulation block at the end of the pipeline; reuse
the in-scope state object for the post-pipeline metadata write (eliminates a
redundant disk re-read that was reintroducing the legacy key).
NREM exclusion fix from 2026-05-02 preserved (`nrem_chunks = retrieve("nrem",
excluded_sources=None)`).
Verification: post-fix dream-manifest source count rose to 24 (NREM 8 + Early
REM 8 + Late REM 8) vs. 13 / 16 on the two prior comparable runs. Legacy key
absent from `dreamer_state.json` post-run.
Consolidates four extract paths and two extract-chunk-embed-write pipelines
into a single shared encoding module. Fixes the embedder lifecycle
divergence between watcher and /api/reindex (no more 200MB reload per
reindex click) and unifies failure tracking so /api/reindex failures now
surface in SettingsPanel "Ingest Health".
New files:
- scripts/encoding.py — extract_text, chunk_text, chunk_and_embed,
write_embeddings_batch
- scripts/failures.py — record_ingest_failure, resolve_ingest_failure
(shared by watcher.py and ingest.py)
Refactored:
- scripts/watcher.py — drops local extract/chunk/embed implementations
and CHUNK_SIZE/CHUNK_OVERLAP/SUPPORTED constants; imports from encoding
and failures. Now writes ingest_failures row on empty-text-extract
(was silent return 0).
- scripts/ingest.py — substantial rewrite. Exposes ingest_directory(folder,
embedder=None) for in-process invocation; CLI back-compat preserved via
ingest_folder wrapper. Module-level SentenceTransformer load removed.
- scripts/corpus_integrity.py — imports extract_text from encoding;
extract_text_for_retry function removed.
- scripts/api.py — /api/reindex rewritten with BackgroundTasks (uses
module-level embedder; no subprocess); new /api/reindex/status endpoint
reading ~/aaronai/reindex_status.json; /api/corpus/retry imports
extract_text from encoding; INGEST_SCRIPT constant removed (dead after
this refactor); 409 reentrance guard prevents double-click stomping.
Behavior changes:
- /api/reindex no longer subprocess.Popens; runs in FastAPI BackgroundTasks
threadpool, doesn't block API thread.
- /api/reindex no longer reloads SentenceTransformer on each click.
- /api/reindex failures newly write to ingest_failures (visible in
SettingsPanel "Ingest Health" — badge will jump on first reindex).
- New embeddings rows always have created_at = NOW() (canonical, server-side).
- New embeddings rows always include metadata.folder field (None when not
derivable).
- /api/reindex returns 409 on second click while a job is running.
- New /api/reindex/status endpoint for polling.
Existing 9,815 NULL created_at rows remain unchanged; backfill is a
separate decision if desired.
199 insertions, 256 deletions across 6 files (codebase shrinks net).
Found by Track 1 inventory 2026-05-02 (Finding 11 / cross-cutting F11).
Pre-commit verification: BackgroundTasks already imported, sys.path
resolves correctly via script-path semantics, static import clean.
prompt_hash() in dream.py was hashing function __doc__ strings, but the
synth functions don't have docstrings, so the hash was always MD5("") =
d41d8cd9 for every dream. The manifest field meant to detect undeclared
prompt drift carried no useful information.
Refactor:
- Each synth function's prompt template moved to a module-level constant
(NREM_PROMPT_TEMPLATE, EARLY_REM_PROMPT_TEMPLATE, LATE_REM_PROMPT_TEMPLATE,
SYNTHESIS_PROMPT_TEMPLATE, LUCID_PROMPT_TEMPLATE) using str.format()
placeholders instead of f-string interpolation.
- Synth functions call TEMPLATE.format(...) at use time. Output is byte-
identical to the previous f-string implementation.
- prompt_hash() now hashes the four pipeline template constants (lucid is
on-demand, not part of the nightly manifest — preserves prior scope).
- LUCID_DEFAULT_TASK extracted as a named constant from the lucid fallback
question (factoring only, no behavior change).
- PROMPT_VERSION_* constants and synth function signatures untouched.
- v1.1 register-shift comment in synthesize_early_rem preserved inline.
The post-fix hash will differ from d41d8cd9 (verified: b65695a1 in static
test). Historical manifests still carry d41d8cd9; the discontinuity is
intentional — pre-fix hashes were equally meaningless and faking continuity
would be worse than acknowledging the break.
Found by Track 1 inventory 2026-05-02 (Finding 11 / divergence #11).
Verified static import + hash determinism before commit.
- Fix /auth/check endpoint that referenced undefined SESSIONS
(Phase 1 finding — would NameError 500 on every call). Now uses
session_exists(token), the live session-validation mechanism
defined elsewhere in api.py.
- Remove unused DB_PATH ChromaDB-era constant (paired with the
ChromaDB directory deletion and aaronai-maintenance.service
removal earlier this session).
Found by Track 1 inventory 2026-05-02. Cross-repo verification of
share_time (third candidate from the original cleanup proposal)
revealed it is working stores-and-returns persistence rather than
dead code; share_time intentionally not modified.
Inventory document edits are committed separately under the docs/
tracking decision.
The dream_mode setting was defined in DEFAULT_SETTINGS and watched
by update_settings for reschedule, but run_dream_job never read it —
silently-ignored configuration.
Two changes:
1. DEFAULT_SETTINGS["dream_mode"] flipped from "nrem" to "pipeline".
The default was a latent regression vector: wiring up the setting
without changing the default would have silently switched all
default-config users from full-pipeline (current production
behavior) to NREM-only nightly runs.
2. run_dream_job reads dream_mode at fire-time, validates against
{"pipeline", "nrem", "early-rem", "late-rem"}, falls back to
pipeline with a warning on invalid values. Lucid intentionally
excluded — it is on-demand only by design and remains available
via CLI and /api/dreamer/run.
Nightly dream production behavior is unchanged for current users
(no settings.json key → default "pipeline" → no flag passed → same
as before). Users can now meaningfully change the nightly mode by
editing settings.json or via the SettingsPanel.
Found by Track 1 inventory 2026-05-02 (Finding 9 / divergence #9).
Moves 28 experiment scripts to scripts/experiments/ (E1, E1.4, E1.6, E2,
base_class, cascade, cost_test, briefing, consistency, token series).
Moves 2 dissolved-layer scripts to scripts/deprecated/ (consolidator_v0_1.py,
tier1_migration.py — under the bespoke decision both target retired
substrate work).
Removes 19 .bak* files from disk (gitignored, never tracked; git history
is the durable record of every prior version).
The 11 production scripts remain in scripts/. All systemd ExecStart paths,
api.py subprocess calls, and cron jobs continue to resolve correctly —
verified by grep against /etc/systemd/system/aaronai-*.service, scripts/
references in api.py, and the user crontab.
Track 1 inventory cross-cutting finding: scripts/ mixed 11 production
files with 32 experimental scripts and ~20 .bak files. After this commit
a clean-room reader can identify the live workers from a directory listing
alone.
Found by Track 1 inventory 2026-05-02. See
~/aaronai/docs/scripts-reorg-plan-2026-05-02.md for full reasoning.
After commit, run:
1. git log --oneline -3 — show the new commit on top
2. git status — confirm clean working tree (modulo the docs/ untracked files which are intentional)
The F14 fix on 2026-05-01 removed text[:50000] truncation from
watcher.py, ingest.py, and corpus_integrity.py. The retry endpoint
in api.py was missed — clicking 'Retry' on an ingest-failed file
in the SettingsPanel re-introduced the exact truncation pattern
F14 was meant to eliminate.
Found by Track 1 inventory 2026-05-02 (Finding 2 / divergence #2).
NREM in the reframe is replay-and-consolidation of recent encoded
content. Excluding previously_retrieved sources turns NREM into
novelty-finding, which is Late REM's job. NREM should re-traverse
already-encoded content; that's what consolidation is.
The May 2 abort surfaced this — 52 sources accumulated in the
exclusion list, all of them in NREM's similarity band for the
recurring research/fabrication/teaching query. The dreamer hit
zero retrievable chunks not because the corpus was empty, but
because everything semantically aligned was excluded.
Late REM and Early REM keep the exclusion mechanism — novelty is
their job. Session-scoped exclusion (nrem_high_sources flowing
into Early REM) also preserved.
The 500/400 trim on retrieved_sources is preserved for the
remaining stages that still use it.
Mirrors stage2_worker v2.1 (da98019) resilience fixes:
- Absolute paths for /usr/bin/sudo and /bin/systemctl
- Log stdout/stderr when sidecar restart fails
- Reset consecutive_failures even when wedge recovery fails (prevents
permanent stuck state if restart itself is broken)
Three classes of silent failure converted to clean terminal states:
- Mistral timeout: previously left rows in zombie state (started_at set,
failed_at null, attempts incremented past retry threshold, row invisible
to selection query). Now sets failed_at with reason
'mistral_timeout_after_300s'. Surfaced 2026-05-01 when 17 documents
accumulated in this state during the Stage 3 saga deadlock incident.
- Mistral parse failure: run_mistral returns {'error': 'parse_failed'} on
JSON decode failure but process_one wasn't checking, so empty orientation
('Active frames: . Frame relationships: ...') was shipped to Stage 3.
This is F22 from the 2026-04-30 code review. Now sets failed_at with
reason 'mistral_parse_failure'.
- Wedge recovery hammering: consecutive_failures was only reset on
successful Ollama restart. With the sudo path bug (also fixed here),
recovery always failed, so every subsequent failure re-attempted restart.
Now resets the counter regardless and logs the failure visibly.
Also: subprocess.run now uses absolute paths (/usr/bin/sudo,
/bin/systemctl) instead of relying on PATH, fixing the 'No such file or
directory: sudo' error that broke Stage 2's recover_wedge() since
deployment. F45-adjacent — sudoers entries were added 2026-05-01 but the
PATH issue was masking that fix.
Worker version bumped to 2.1 to match Stage 3's resilience patch level.
Production incident 2026-05-01: F14 re-cascade attempt surfaced three
compounding issues in cascade resilience.
stage3_worker.py changes:
- MAX_CHUNKS_PER_SAGA=10 — large documents split into multiple bulk
commits, all sharing the same saga tag for Graphiti document linking.
Original implementation sent all chunks as one saga; 17-19 chunk sagas
deadlocked sidecar's Python-side coordination.
- recover_wedge() function — restarts aaronai-graphiti.service when
consecutive_failures hits threshold. Mirrors Stage 2 pattern.
- run() loop adds consecutive_failures counter with threshold-2
escalation. Resolves F28 + F29 from code review.
- Worker version bumped 2.0 -> 2.1.
- post_bulk() helper extracts shared HTTP POST + error handling.
Outside-repo changes (system config, separately documented):
- WatchdogSec=600 commented in stage2 + stage3 systemd unit files.
Workers have no sd_notify support; per-request timeouts in code
handle the actual failure modes.
- /etc/sudoers.d/aaron-aaronai created with NOPASSWD entries for
systemctl restart ollama and restart aaronai-graphiti.service.
Stage 2's existing recover_wedge() was silently broken since
deployment due to this gap.
.gitignore — added rules for *.bak files, runtime artifacts
(watcher_heartbeat, dreamer_state.json, corpus_integrity_report.json,
watcher_state.json, watcher_status.json), Python cruft, virtual env,
.env, editor/OS files, and Aaron AI runtime data (conversations.db,
sessions.db, memory.md, settings.json).
Untracked 11 files that shouldn't have been committed in 465f2f7
(this morning): backup files and runtime artifacts.
Re-cascading Shop Class (414KB) and BirdAI-Experiments-Log.md (192KB)
through the patched worker after re-extracting full text from disk.
Cascade in progress at commit time.
- api.py: strip CV pinning workaround (parity violation, see architecture doc)
- dream.py: F1 — retrieve_graphiti() now accepts excluded_sources, over-fetches
3x and filters in-process. Was silently dropping the parameter; would have
confounded E3 with broken cross-stage exclusion in Graphiti arm.
- watcher.py + ingest.py: F14 — drop full_text[:50000] truncation. Was
propagating through entire cascade. Postgres TEXT can hold up to 1GB.
- corpus_integrity.py: F37 — same truncation, third path now clean.
Backups: api.py.bak.*, dream.py.bak.*, watcher.py.bak.*, ingest.py.bak.*,
corpus_integrity.py.bak.* timestamped pre-fix.
Re-cascaded Shop Class as Soulcraft (only already-cascaded source affected
by F14, 414KB).
aaron