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Build(deps): Bump inquirer from 8.2.6 to 12.7.0#88

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Build(deps): Bump inquirer from 8.2.6 to 12.7.0#88
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---
updated-dependencies:
- dependency-name: inquirer
  dependency-version: 12.7.0
  dependency-type: direct:production
  update-type: version-update:semver-major
...

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dependabot Bot commented on behalf of github Jul 8, 2025

The reviewers field in the dependabot.yml file will be removed soon. Please use the code owners file to specify reviewers for Dependabot PRs. For more information, see this blog post.

@dependabot dependabot Bot requested a review from joelteply July 8, 2025 00:16
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dependabot Bot commented on behalf of github Jul 28, 2025

Superseded by #97.

@dependabot dependabot Bot closed this Jul 28, 2025
@dependabot dependabot Bot deleted the dependabot/npm_and_yarn/inquirer-12.7.0 branch July 28, 2025 23:37
joelteply added a commit that referenced this pull request May 31, 2026
…strate (L1-L5)

Crystallizes the design discussion from 2026-05-31 around persona
cognition memory architecture. Captures the unified frame the
substrate has been growing toward.

Five tiers analogous to the foundry's existing L1-L5 genome cache:
- L1 RAG working memory (raw, model context window)
- L2 engram cache (in-memory, compressed)
- L3 longterm.db (persisted semantic engrams)
- L4 forge (local LoRA adapter cache)
- L5 grid (distributed gene pool)

Lossy compression only at L1→L2 boundary. Working memory is
verbatim; older data gets outlined-and-cached when it ages out.
One always-on outline-and-cache tick per persona, yielding on
CNS context-switch per RTOS-brain doctrine.

Per-activity L1, shared L2+ — Algorithm 1's focus/periphery
split generalized to per-activity instantiation. Recent-universal
floor in periphery pool (top N msgs across all activities,
N budgeted by model context size) guarantees cross-activity
awareness without severance.

Forgetting is intrinsic to L1 budget. Smaller models forget more
in the moment but accumulate engrams at the same rate as bigger
ones — long-term knowledge is model-size-independent.

Novelty detection via embedding-space distance + magnitude:
the hotdogs-at-a-tech-meeting canonical example shows how
high-distance outliers get protected-until-ms grace windows
and earn long-term retention via recall hits.

Activity context save/restore via existing EngramKind::SelfReflection
meta-engrams; no separate sidecar needed. The engram graph is the
storage; SelfReflection is the type marker.

Implementation slice scoped: Engram metadata fields (salience,
access_count, last_accessed_ms, protected_until_ms) on Engram or
RecallMetadata sidecar; outline-and-cache tick; L1 budgeter; decay
+ consolidation policies; cross-activity integration test.

Related tasks: #88 (disk pressure as substrate concern), #89
(this design + implementation scoping).

References: COGNITION-ALGORITHMS.md (existing 7 algorithms),
BRAIN-REGIONS-SUBSTRATE.md (region trait, sleep-region cadence),
GENOME-FOUNDRY-SENTINEL.md (parallel L1-L5 framework), memories
source-drain-is-the-universal-pattern, RTOS-brain-no-region-on-
hot-path, local-worktree-is-temp-dir.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
joelteply added a commit that referenced this pull request May 31, 2026
… + recording decorator (task #95)

Slice 11. The mechanic-shop's lift + diagnostic gauges for RAG.
Per Joel (2026-05-31): "We have often needed to see how a model would
work to debug it. Within harness with real world rag." … "These
things are complex machines. Make sure we can act as mechanics."

Per memory persona-record-replay-is-a-product-requirement +
existing LiveTurnReplayFixture infra — this slice wires capture
for the RAG layer specifically.

### What ships

persona/rag_capture.rs (~600 lines, 9 tests, all green):

- **RagCaptureEvent** enum tagging each fact about a turn:
  TurnStart (context + budget request), BudgetAllocated (the
  allocator's decision), SourceDelivered (auto-emitted by the
  decorator after every deliver/deliver_continuation), TurnEnd.
  Every variant carries persona_id + optional turn_id for cross-
  event correlation.

- **RagCaptureSink** trait — abstract recording surface.
  Synchronous `record(event)` keeps simple sinks simple; async
  sinks layer over it by spawning internally.

- **NoopRagCaptureSink** — production-safe default. Drops events
  on the floor; zero overhead beyond a trait-object virtual call
  when capture isn't turned on.

- **JsonlRagCaptureSink** — file-based, one JSON object per line,
  Mutex<File> for within-process atomic appends. Reopen-append
  semantics tested. Capture-failure-must-not-fail-cognition rule:
  serialize errors + write errors log via tracing::warn + drop;
  the substrate stays up.

- **InMemoryRagCaptureSink** — buffers events in Mutex<Vec> behind
  a clone-able snapshot accessor. For tests + the upcoming
  golden-trace harness (slice 11.5).

- **RecordingRagSource<S>** decorator wraps any RagSource +
  intercepts deliver / deliver_continuation. Records the call +
  result via the sink; returns the delivery unchanged. Drop-in
  around production sources. source_id() pass-through; behavior
  pass-through; only adds recording.

### Refactor cascade

RagSourceBudget.source_id changed from &'static str to String to
support serde Deserialize (captured budgets must roundtrip for
replay). FlexboxRagBudgetAdapter's allocation HashMap key
similarly changed; test budget() helper now uses .to_string();
sort_by tiebreak now borrows source_id by reference. All 15
existing rag_budget tests + 12 existing engram_source tests still
pass (regression-free).

### Tests

cargo test persona::rag_capture --features metal,accelerate
exits 0, 9 tests:

- noop_sink_drops_events_silently
- in_memory_sink_records_and_exposes_events
- jsonl_sink_writes_one_json_object_per_line (round-trip:
  records 2 events, reads file back, asserts both lines parse as
  the expected variants)
- jsonl_sink_appends_across_reopens (close + reopen + write +
  re-read; both events accumulate)
- recording_decorator_passes_through_delivery (wrapped source's
  items + source_id come through unchanged)
- recording_decorator_records_each_deliver (one SourceDelivered
  event per deliver call, with budget + resolution captured)
- recording_decorator_records_continuation_with_cursor (cursor
  field populated when continuation is recorded)
- recording_decorator_records_persona_and_turn_id (cross-event
  correlation primitives work)
- captured_event_serde_roundtrip (event roundtrips through JSON
  without losing variant discriminant)

### Doctrine alignment

- substrate-is-a-good-citizen-on-the-host: NoopRagCaptureSink as
  default (opt-in capture, zero overhead); observability honest
  via per-source telemetry-grade events; failures log + drop
  rather than panic
- RTOS-brain-no-region-on-hot-path: capture writes synchronous-
  after the source returns; off the cognition critical path
- organization-purity-as-we-migrate: decorator pattern keeps
  RagSource impls untouched; clean no-backwards-compat seam;
  string-key refactor propagated atomically
- source-drain-is-the-universal-pattern: captures are a source
  (accumulating events); slice 12 wires rotation policy as the
  drain
- persona-record-replay-is-a-product-requirement: this slice
  implements the capture half of the long-standing requirement

### What's next

- Slice 11.5: ReplayRagSource — reads captured deliveries from a
  sink, returns them instead of hitting live state. Symmetric to
  RecordingRagSource. Golden-trace harness uses this to replay
  captured turns against current substrate for regression
  detection.
- Slice 12: PromptAssembly emits TurnStart + BudgetAllocated +
  TurnEnd around source.deliver calls; airc rag-inspect CLI
  reads JSONL traces; rotation policy under disk-pressure (#88).

References: docs/architecture/EVERY-MODEL-INCLUDED-VIA-L1-BUDGET.md
(the substrate's inclusivity thesis these captures make
verifiable), memory persona-record-replay-is-a-product-requirement,
the existing LiveTurnReplayFixture infra this complements.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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