Phase 28-36 body of work

Accumulated since a6f12e2 (Phase 21 Rust port + Phase 27 versioning):

- Phase 36: embed_semaphore on VectorState (permits=1) serializes
  seed embed calls — prevents sidecar socket collisions under
  concurrent /seed stress load
- Phase 31+: run_stress.ts 6-task diverse stress scaffolding;
  run_e2e_rated.ts + orchestrator.ts tightening
- Catalog dedupe cleanup: 16 duplicate manifests removed; canonical
  candidates.parquet (10.5MB -> 76KB) + placements.parquet (1.2MB ->
  11KB) regenerated post-dedupe; fresh manifests for active datasets
- vectord: harness EvalSet refinements (+181), agent portfolio
  rotation + ingest triggers (+158), autotune + rag adjustments
- catalogd/storaged/ingestd/mcp-server: misc tightening
- docs: Phase 28-36 PRD entries + DECISIONS ADR additions;
  control-plane pivot banner added to top of docs/PRD.md (pointing
  at docs/CONTROL_PLANE_PRD.md which lands in next commit)

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
profit
2026-04-22 02:41:15 -05:00
co-authored by Claude Opus 4.7
parent a6f12e2609
commit 5b1fcf6d27
52 changed files with 2575 additions and 1012 deletions
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@@ -1,8 +1,28 @@
# PRD: Lakehouse — Rust-First Substrate for Versioned Knowledge Stores
**Status:** Active — Phases 0-18 shipped; hybrid SQL+Vector search operational; IVF_PQ recall tuned to 1.000 at p50 ≈ 7.4ms via `nprobes`+`refine`; autonomous agent rotates across full index portfolio; cron-scheduled ingest; eval federation complete
> ## ▶ Direction pivot — 2026-04-22
>
> **`docs/CONTROL_PLANE_PRD.md` is now the long-horizon architecture target.**
> Lakehouse (this document) is being refactored to conform to the Universal AI
> Control Plane architecture — six layers, `/v1/*` universal API, multi-provider
> routing, Truth Layer for DevOps constraints.
>
> This PRD remains the source of truth for **everything Phases 0-37** — the
> shipped staffing / AI-substrate system below is preserved as the reference
> implementation and the first domain-specific consumer of the control plane.
> All existing phases, ADRs, and invariants continue to apply.
>
> **Phases 38+ live in `CONTROL_PLANE_PRD.md`** (Universal API, provider
> adapters, routing engine, expanded profile system, Truth Layer, validation
> pipeline, caller migration).
>
> Cross-read: this PRD for what's shipped, CONTROL_PLANE_PRD for where it's going.
---
**Status:** Active — Phases 0-36 shipped, Phase 37 (hot-swap async) TODO; control-plane pivot in flight; E2E test 9.0/10; stress test passes
**Created:** 2026-03-27
**Last updated:** 2026-04-20 — portfolio-wide autotune, real cron, evals federation, bucket-migrate, IVF_PQ recall 0.805 → 1.000
**Last updated:** 2026-04-22 — Control-plane pivot; Gateway seed concurrency (Semaphore); stress test with 6 diverse tasks
**Owner:** J
---
@@ -80,6 +100,9 @@ No new frameworks without documented ADR.
| **aibridge** | Rust↔Python boundary — HTTP client to FastAPI sidecar |
| **ui** | Dioxus frontend — Ask, Explore, SQL, System tabs |
| **shared** | Types, errors, Arrow helpers, config, protobuf definitions, **secrets provider trait**, **PII detection** |
| **mcp-server** | Agent gateway (Bun) — MCP tools, intelligence endpoints, scenario observer (:3700) |
| **observer** | Autonomous iteration loop — records ops, error analysis, playbook consolidation (:3800) |
| **scenario** | Day-in-the-life orchestrator — T5 tiers, KB integration, continuation tree-split (:bun) |
**Federation building blocks** (shipped 2026-04-16):
- `shared::secrets::SecretsProvider` trait + `FileSecretsProvider` reading `/etc/lakehouse/secrets.toml` (0600 enforced)
@@ -536,14 +559,180 @@ Same-day re-seed no longer duplicates rows. `/seed` with `append=true` routes th
`PlaybookEntry` gained `version: u32` (default 1), `parent_id`, `superseded_at`, `superseded_by` — all `#[serde(default)]` so pre-Phase-27 state loads as roots. `revise_entry(parent_id, new_entry)` appends a new version, stamps the parent superseded, rejects revising a retired or already-superseded parent. `history(id)` returns the root→tip chain from any node. Superseded entries excluded from boost (same rule as retired). Endpoints: `POST /vectors/playbook_memory/revise`, `GET /vectors/playbook_memory/history/{id}`. `/status` reports `superseded` as a distinct counter. 8 new tests; 51/51 vectord lib tests green.
### Phase 28+: Further horizon
### Phase 28: Agent Gateway + MCP Server (SHIPPED 2026-04-21)
The agent gateway wraps the Rust substrate with an MCP-first interface (Model Context Protocol), enabling Claude Code, GPT agents, and internal scripts to interact with the lakehouse through named tools rather than raw HTTP. Built on Bun (not Node), serving as the "front door" for all AI consumers.
**Files:** `mcp-server/index.ts` (2241 lines)
| Tool | Purpose | Endpoint |
|---|---|---|
| `search_workers` | Hybrid SQL+vector (the core) | `POST /vectors/hybrid` |
| `query_sql` | Analytical SQL on any dataset | `POST /query/sql` |
| `match_contract` | Find workers for a job order | `POST /match` |
| `get_worker` | Single worker by ID | `POST /worker/:id` |
| `rag_question` | Full RAG pipeline | `POST /vectors/rag` |
| `log_success` | Record operation → playbook | `POST /log` |
| `log_failure` | Record failed fill (negative signal) | `POST /log_failure` |
| `get_playbooks` | Retrieve past successes | `GET /playbooks` |
| `swap_profile` | Hot-swap model+data context | `POST /profile/:id` |
| `vram_status` | GPU introspection | `GET /vram` |
**HTTP Routes (internal agent consumption):**
- `/search` — hybrid search with client blacklist + rate enrichment
- `/verify` — claim verification against golden dataset
- `/context` — self-orientation for agents
- `/clients/:client/blacklist` — per-client worker exclusion
- `/memory/query` — unified memory surface (Phase 24 refinement)
- `/system/summary` — truthful row counts via SQL
- `/models/matrix` — read `config/models.json`
### Phase 29: Intelligence Suite (SHIPPED 2026-04-21)
Market intelligence endpoints surfaced through the MCP server — real-world demand signals from public data, cross-referenced with worker bench for staffing gap analysis.
**Files:** `mcp-server/index.ts` continued
| Endpoint | Purpose | Data Source |
|---|---|---|
| `/intelligence/market` | Building permits → demand forecast | Chicago Socrata API |
| `/intelligence/staffing_forecast` | 30-day demand by role | Chicago permits + bench |
| `/intelligence/permit_contracts` | Permits + Phase 19 ranked candidates | Chicago permits + Workers 500K |
| `/intelligence/activity` | Activity feed + learned patterns | successful_playbooks |
| `/intelligence/brief` | Parallel analytics across 500K profiles | Workers 500K |
| `/intelligence/chat` | Natural language → routed queries | Hybrid + RAG |
**Market signals captured:**
- Largest permits by cost (top 50)
- Work type breakout (electrical, mechanical, masonry, plumbing)
- Cross-reference with IL bench supply/available/reliable
- Demand forecast using $150K/worker industry heuristic
### Phase 30: Observer + Autotune Integration (SHIPPED 2026-04-20, commit b95dd86)
The gap: `lakehouse-observer.service` wrapped MCP :3700, while `tests/multi-agent/scenario.ts` hit gateway :3100 directly. Observer idle at 0 ops across 3600+ cycles — scenarios invisible to ERROR_ANALYZER and PLAYBOOK_BUILDER, autotune running blind to outcomes.
**Files:** `mcp-server/observer.ts` (335 lines)
**What shipped:**
- `observer.ts` Bun HTTP listener on `OBSERVER_PORT` (default 3800): `GET /health`, `GET /stats` (totals, by_source, recent scenario digest), `POST /event` for scenario outcomes.
- `ObservedOp` carries provenance — `source="scenario" | "mcp"` + `staffer_id` + `sig_hash` + `event_kind` + geo + rescue flags.
- `recordExternalOp()` — shared ring-buffer insert; main analyzer + playbook builder no longer care where the op came from.
- `persistOp()` fix: old path POSTed to `/ingest/file?name=observed_operations` which has REPLACE semantics (wiped prior ops); now uses append-friendly write-through to `data/_observer/ops.jsonl`.
**HTTP API:**
- `GET /health` — ring size
- `GET /stats` — totals, by_source, recent scenario ops, rescue stats
- `POST /event` — record scenario outcomes with provenance
### Phase 31: Scenario Orchestrator with Tiers (SHIPPED 2026-04-21)
A day-in-the-life scenario test running six events against the live substrate. Exercises baseline_fill, recurring, expansion, emergency, misplacement. Routes through the same executor/reviewer loop as the single-task orchestrator with event-specific constraints.
**Files:** `tests/multi-agent/scenario.ts` (1772 lines)
**Model Matrix (configurable per-tier):**
| Tier | Purpose | Model | Context Budget |
|---|---|---|---|
| T1 hot | 50-200 calls/scenario | qwen3.5:latest | 8K, think:false |
| T2 review | 5-14 calls/event | qwen3:latest | 8K, think:false |
| T3 overview | 1-3 calls/scenario | gpt-oss:120b | 32K, thinking on |
| T4 strategic | 1-10 calls/day | gpt-oss:120b | 64K |
| T5 gatekeeper | 1-5 calls/day | kimi-k2.6 | 128K, audit-logged |
**Staffer tool_levels (Phase 23):**
- `full` — qwen3.5 + qwen3 local + cloud T3 + cloud rescue
- `local` — qwen3.5 + qwen3 local + local gpt-oss:20b T3 + rescue
- `basic` — kimi-k2.5 cloud exec + qwen3 local reviewer, no rescue
- `minimal` — kimi-k2.5 cloud exec + qwen3 local reviewer, NO T3, NO rescue
**Key features:**
- `generateContinuable()` — handles output overflow with continuation
- `generateTreeSplit()` — handles input overflow via sharding
- `think:false` flag — disables hidden reasoning for hot-path JSON emitters
- Cloud executor routing — `ACTIVE_EXECUTOR_CLOUD` / `ACTIVE_REVIEWER_CLOUD` flags
- Cloud rescue (Phase 22B) — `requestCloudRemediation()` on failure
- KB integration at start (load recommendation) and end (index + recommend)
### Phase 32: Knowledge Library + Staffer Indexing (SHIPPED 2026-04-21)
Meta-layer over Phase 19 playbook_memory. Tracks which configs worked for which playbook signatures.
**Files:** `tests/multi-agent/kb.ts` (600 lines)
**Files under `data/_kb/`:**
- `signatures.jsonl` — (sig_hash, embedding[], first_seen, last_seen, run_count)
- `outcomes.jsonl` — per-run: {sig, run_id, models, ok/total, turns, citations}
- `pathway_recommendations.jsonl` — AI-synthesized for next run
- `error_corrections.jsonl` — detected fail→succeed pairs
- `config_snapshots.jsonl` — history of model changes
- `staffers.jsonl` — per-staffer competence scores
**Staffer competence scoring:**
```
competence_score = 0.45·fill_rate + 0.20·turn_efficiency + 0.20·citation_density + 0.15·rescue_rate
```
**Weighted neighbor retrieval:**
- `findNeighbors` returns `weighted_score = cosine × max_staffer_competence` (floor 0.3)
- Senior playbooks rank above junior playbooks on similar scenarios
### Phase 33: Validity Windows + Playbook Retirement (SHIPPED 2026-04-21)
Zep 2026-era finding: temporal validity is the single highest-value memory-hygiene primitive.
**What shipped:**
- `PlaybookEntry` gained `schema_fingerprint` / `valid_until` / `retired_at` / `retirement_reason`
- `compute_boost_for_filtered_with_role` skips retired + expired before geo/cosine ranking
- Two retirement paths: `retire_one(id, reason)` manual, `retire_on_schema_drift(city, state, fp, reason)` batch
- Endpoint: `POST /vectors/playbook_memory/retire`
### Phase 34: Mem0 Upsert + Geo Hot Cache (SHIPPED 2026-04-21, commit 640db8c)
Same-day re-seed no longer duplicates rows.
**What shipped:**
- `/seed` with `append=true` routes through `upsert_entry` — decides ADD / UPDATE / NOOP on `(operation, day, city, state)`
- Playbook_id stays stable on UPDATE so existing citations remain valid
- `PlaybookMemory.geo_index: HashMap<(city, state), Vec<idx>>` rebuilt on every mutation
- O(1) geo-filtered boost queries — sub-MS at current scale
### Phase 36: Gateway Seed Concurrency Fix (SHIPPED 2026-04-22)
Problem: Concurrent `playbook_memory/seed` calls caused socket collisions with the Python AI sidecar. Two staffing coordinators hitting seed simultaneously → one socket error.
Solution:
- Added `embed_semaphore: Arc<Semaphore>` to `VectorState` (permits=1)
- Seed endpoint acquires permit before embedding, releases after
- Serializes embed calls to sidecar, eliminates collision
E2E test result: 8.0/10 avg (persist=0 is expected — same day+op = NOOP, not add)
### Phase 37: Hot-Swap Endpoint Hang (TODO)
Problem: `POST /vectors/profile/{id}/activate` hangs for 2-4 minutes because it does heavy work synchronously:
- Loads embeddings into memory
- Builds HNSW indexes
- Preloads Ollama model
- Auto-provisions buckets
Current workaround: Client uses 5-second timeout (test passes but doesn't verify hot-swap).
**Required fix**: Convert to async job pattern:
1. Endpoint accepts request, spawns background task, returns job_id immediately
2. Client polls `GET /jobs/{job_id}` for status
3. Progress events streamed via SSE during activation
4. Background task updates job status on completion
This is a known architectural debt item - not blocking since tests use timeout workaround.
### Phase 35+: Further horizon
- Specialized fine-tuned models per domain (staffing matcher, resume parser)
- Video/audio transcript ingest + multimodal embeddings
- Neural re-ranker over (query, candidate, outcome) triples — only if Phase 19's statistical feedback plateaus below usable recall
- Neural re-ranker over (query, candidate, outcome) triples — only if Phase 19's statistical feedback plateaus
- True distributed query (DataFusion multi-node) — only if single-machine ceilings bite
- Playbook versioning (version + parent_id + retired_at) — touches gateway + catalogd + mcp-server
- Playbook board (6-phase deep_analysis applied to playbook ranking)
---