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Author SHA1 Message Date
rootandClaude Opus 4.7 779158a09b scripts: chicago analyzer field-name fixes + vectorize sanitizer hardening
lakehouse/auditor 1 blocking issue: todo!() macro call in tests/real-world/scrum_master_pipeline.ts
Two small fixes surfaced during smoke testing:

analyze_chicago_contracts.ts: permit field is contact_1_name not
contact_1; reported_cost is integer-string. Fixed filter (was rejecting
all 2853 permits) and contractor extraction (was empty).

vectorize_raw_corpus.ts: sanitize() expanded to strip control chars +
ALL backslashes (kills incomplete \uXXXX escapes) + UTF-16 surrogates
(unpaired surrogates from emoji split by truncate boundary). Llm_team
response cache had docs with all three pollution shapes.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-25 19:34:45 -05:00
rootandClaude Opus 4.7 6ac7f61819 pathway_memory: Mem0 versioning + deletion (upsert/revise/retire/history)
Per J 2026-04-25: pathway_memory was append-only — every agent run added
a new trace, bad/failed runs polluted the matrix forever, no notion of
"this is the canonical evolved playbook." Ported playbook_memory's
Phase 25/27 patterns into pathway_memory so the agent loop's matrix
converges on best-known approaches per task class instead of bloating.

Fields added to PathwayTrace (all #[serde(default)] for back-compat):
- trace_uid: stable UUID per individual trace within a bucket
- version: u32 default 1
- parent_trace_uid, superseded_at, superseded_by_trace_uid
- retirement_reason (paired with existing retired:bool)

Methods added to PathwayMemory:
- upsert(trace) → PathwayUpsertOutcome {Added|Updated|Noop}
  Workflow-fingerprint dedup: ladder_attempts + final_verdict hash.
  Identical workflow → bumps existing replay_count instead of duplicating.
- revise(parent_uid, new_trace) → PathwayReviseOutcome
  Chains versions; rejects retired or already-superseded parents.
- retire(trace_uid, reason) → bool
  Marks specific trace retired with reason. Idempotent.
- history(trace_uid) → Vec<PathwayTrace>
  Walks parent_trace_uid back to root, then superseded_by forward to tip.
  Cycle-safe via visited set.

Retrieval gates updated:
- query_hot_swap skips superseded_at.is_some()
- bug_fingerprints_for skips both retired AND superseded

HTTP endpoints in service.rs:
- POST /vectors/pathway/upsert
- POST /vectors/pathway/retire
- POST /vectors/pathway/revise
- GET  /vectors/pathway/history/{trace_uid}

scripts/seal_agent_playbook.ts switched insert→upsert + accepts SESSION_DIR
arg so it can seal any archived session, not just iter4.

Verified live (4/4 ops):
- UPSERT first run: Added trace_uid 542ae53f
- UPSERT identical: Updated, replay_count bumped 0→1 (no duplicate)
- REVISE 542ae53f→87a70a61: parent stamped superseded_at, v2 created
- HISTORY of v2: chain_len=2, v1 superseded, v2 tip
- RETIRE iter-6 broken trace: retired=true, retirement_reason preserved
- pathway_memory.stats: total=79, retired=1, reuse_rate=0.0127

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-25 19:31:44 -05:00
rootandClaude Opus 4.7 ed83754f20 raw-corpus dump + vectorization + chicago contract inference pipeline
Three new pieces, executed in order:

scripts/dump_raw_corpus.sh
- One-shot bash that creates MinIO bucket `raw` and uploads all
  testing corpora as a persistent immutable test set. 365 MB total
  across 5 prefixes (chicago, entities, sec, staffing, llm_team)
  + MANIFEST.json. Sources: workers_500k.parquet (309 MB),
  resumes.parquet, entities.jsonl, sec_company_tickers.json,
  Chicago permits last 30d (2,853 records, 5.4 MB), 9 LLM Team
  Postgres tables dumped via row_to_json.

scripts/vectorize_raw_corpus.ts
- Bun script that fetches each raw-bucket source via mc, runs a
  source-specific extractor into {id, text} docs, posts to
  /vectors/index, polls job to completion. Verified results:
    chicago_permits_v1: 3,420 chunks
    entity_brief_v1:    634 chunks
    sec_tickers_v1:    10,341 chunks (after extractor fix for
                        wrapped {rows: {...}} JSON shape)
    llm_team_runs_v1:  in flight, 19K+ chunks
    llm_team_response_cache_v1: queued

scripts/analyze_chicago_contracts.ts
- Real inference pipeline that picks N high-cost permits with
  named contractors from the raw bucket, queries all 6 contract-
  analysis corpora in parallel via /vectors/search, builds a
  MATRIX CONTEXT preamble, calls Grok 4.1 fast for structured
  staffing analysis, hand-reviews each via observer /review,
  appends to data/_kb/contract_analyses.jsonl.

tests/real-world/scrum_master_pipeline.ts
- MATRIX_CORPORA_FOR_TASK extended with two new task classes:
  contract_analysis (chicago + entity_brief + sec + llm_team_runs
    + llm_team_response_cache + distilled_procedural)
  staffing_inference (workers_500k_v8 + entity_brief + chicago
    + llm_team_runs + distilled_procedural)
  scrum_review unchanged.

This is the first time the matrix architecture operates on real
ingested data instead of code-review smoke tests.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-25 18:44:27 -05:00
rootandClaude Opus 4.7 a496ced848 scrum: unified matrix retriever — pull from ALL relevant KB corpora, not just pathway memory
Per J 2026-04-25 architectural correction: matrix index is the vector
indexing layer for the WHOLE knowledge base (distilled facts, procedures,
config hints, team runs, playbooks, pathway successes), not a single
narrow store. Built fetchMatrixContext(query, taskClass, filePath) that:

- Queries multiple persistent vector indexes in parallel via /vectors/search
- Collects hits per corpus + score + doc_id + 400-char excerpt
- Pulls pathway successes via existing helper, mapped to MatrixHit shape
- Sorts by score across corpora, returns top-N (default 8)
- Reports per-corpus hit counts + errors for transparency

Per-task-class corpus list (MATRIX_CORPORA_FOR_TASK):
  scrum_review → distilled_factual, distilled_procedural,
                 distilled_config_hint, kb_team_runs_v1
  (staffing data deliberately excluded — not relevant to code review)

Probed live: distilled_config_hint top hit = 0.52, distilled_procedural
top = 0.49, kb_team_runs top = 0.59. Real signal across corpora.

Replaces the narrow proven-approaches preamble with a unified
MATRIX-INDEXED CONTEXT preamble tagged with source_corpus per chunk
so the model knows what kind of context it's seeing.

LH_SCRUM_MATRIX_RETRIEVE=0 still disables for A/B testing.

Future: promote to a Rust /v1/matrix endpoint once corpora list and
ranking logic stabilize. For now TS lets us iterate fast against the
live matrix without gateway restarts.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-25 18:29:08 -05:00
rootandClaude Opus 4.7 d187bcd8ac scrum: stop cascading models on quality issues — single-model retry with enrichment
Architectural correction (J 2026-04-25):

The 9-rung ladder was treating cascade as the strategy. That's wrong.
ONE model handles the work, with same-model retries using enriched
context. Cycle to a different model ONLY on PROVIDER errors (network
/ auth / 5xx) — never on quality issues, because quality issues mean
the context needs more enrichment, not a different model.

Changes:
- LADDER shrunk from 11 entries to 3 (Grok 4.1 fast primary, DeepSeek
  V4 flash + Qwen3-235B as provider-error fallbacks). Removed Kimi
  K2.6, Gemini 2.5 flash, all Ollama Cloud rungs, OR free-tier rungs,
  local qwen3.5 — none were doing the work, all wasted attempts. They
  remain available as routable tools for the future mode router.
- Loop restructured: separate `modelIdx` from attempt counter.
  Provider error → modelIdx++ (advance fallback). Observer reject /
  cycle / thin response → retry SAME model with rejection notes
  feeding into the `learning` preamble; advance fallback only after
  MAX_QUALITY_RETRIES (default 2) exhausted on the current model.
- LH_SCRUM_MAX_QUALITY_RETRIES env to tune the per-model retry cap.

What this preserves:
- Tree-split (treeSplitFile) is still the ONE legitimate model-switch
  trigger for context-overflow, but even it just re-runs the same
  model against smaller chunks.
- Pathway memory preamble still fires.
- Hot-swap reorder still applies — when a recommended model maps to
  the new shorter ladder.

Future direction (J 2026-04-25 note): the LLM Team multi-model modes
in /root/llm_team_ui.py are a REFERENCE PATTERN for a mode router we
will build INSIDE this gateway. Mimic the patterns, don't modify the
LLM Team UI itself. The mode router will pick the right approach for
each task class via the matrix index, not cascade through models.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-25 18:08:31 -05:00
rootandClaude Opus 4.7 6432465e2c autonomous_loop: stop clobbering applier model/provider defaults
Found by running: the loop was setting LH_APPLIER_MODEL=qwen3-coder:480b
explicitly via env, which clobbered the applier's NEW default of
x-ai/grok-4.1-fast on openrouter. Result: applier kept hitting the
throttled ollama_cloud account and producing zero patches every iter.

Now LOOP_APPLIER_MODEL and LOOP_APPLIER_PROVIDER are optional overrides;
when unset, scrum_applier.ts uses its own defaults.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-25 17:54:54 -05:00
rootandClaude Opus 4.7 4ac56564c0 scrum + applier + observer: switch to paid OpenRouter ladder, add Kimi K2.6 + Gemini 2.5
Ollama Cloud was throttled across all 6 cloud rungs in iters 1-9, which
forced the loop into 0-review iterations even though the architecture
was sound. Swapping to paid OpenRouter unblocks the test path.

Ladder changes (top-of-ladder paid models, all under $0.85/M either side):
- moonshotai/kimi-k2.6     ($0.74/$4.66, 256K) — capped at 25/hr
- x-ai/grok-4.1-fast       ($0.20/$0.50, 2M)   — primary general
- google/gemini-2.5-flash  ($0.30/$2.50, 1M)   — Google reasoning
- deepseek/deepseek-v4-flash ($0.14/$0.28, 1M) — cheap workhorse
- qwen/qwen3-235b-a22b-2507  ($0.07/$0.10, 262K) — cheapest big
Existing rungs (Ollama Cloud + free OR + local qwen3.5) kept as fallback.

Per-model rate limiter (MODEL_RATE_LIMITS in scrum_master_pipeline.ts):
- Persists call timestamps to data/_kb/rate_limit_calls.jsonl so caps
  survive process restarts (autonomous loop spawns a fresh subprocess
  per iteration; without persistence each iter would reset)
- O(1) writes, prune-on-read for the rolling 1h window
- Capped models log "SKIP (rate-limited: cap N/hr reached)" and the
  ladder cycles to the next rung
- J directive 2026-04-25: 25/hr on Kimi K2.6 to bound output cost

Observer hand-review cloud tier swapped from ollama_cloud/qwen3-coder:480b
to openrouter/x-ai/grok-4.1-fast — proven to emit precise semantic
verdicts (named "AccessControl::can_access() doesn't exist" specifically
in 2026-04-25 tests instead of the heuristic fallback).

Applier patch emitter swapped from ollama_cloud/qwen3-coder:480b to
openrouter/x-ai/grok-4.1-fast (default; LH_APPLIER_MODEL +
LH_APPLIER_PROVIDER override). This was the third LLM call we missed —
without it, observer accepts a review but applier never produces patches
because its emitter was still hitting the throttled account.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-25 17:49:02 -05:00
rootandClaude Opus 4.7 e79e51ed70 tests: autonomous_loop.ts — goal-driven scrum + applier retry harness
Wraps tests/real-world/scrum_master_pipeline.ts and scrum_applier.ts in
a single autonomous loop that runs scrum → applier --commit → optional
git push, observes per-iteration outcomes via observer /event, journals
to data/_kb/autonomous_loops.jsonl. Stops when 2 consecutive iters land
zero commits OR LOOP_MAX_ITERS reached.

Env knobs:
  LOOP_TARGETS — comma-sep paths, default 3 high-traffic Lakehouse files
  LOOP_MAX_ITERS — default 3
  LOOP_PUSH=1 — push branch after each commit-landing iter
  LOOP_BRANCH — default scrum/auto-apply-19814 (refuses to run elsewhere)
  LOOP_MIN_CONF — applier min confidence (default 85)
  LOOP_APPLIER_MODEL — default qwen3-coder:480b

Causality preserved: targets pass through to LH_APPLIER_FILES so applier
patches what scrum just reviewed (vs picking from global review history).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-25 17:32:15 -05:00
rootandClaude Opus 4.7 3f166a5558 scrum + observer: hand-review wire — judgment moved out of the inner loop
Pre-2026-04-25 the scrum_master applied a hardcoded grounding-rate gate
inline. That baked policy into the wrong layer — semantic judgment about
whether a review is grounded belongs in the observer (which has Langfuse
traces, sees every response across the system, and can call cloud LLMs
for real evaluation). Scrum should report DATA, observer DECIDES.

What landed:
- scrum_master_pipeline.ts: removed the inline grounding-pct threshold;
  every accepted candidate now POSTs to observer's /review endpoint with
  {response, source_content, grounding_stats, model, attempt}. Observer
  returns {verdict: accept|reject|cycle, confidence, notes}. On observer
  failure, scrum falls open to accept (observer is policy, not blocker).
- mcp-server/observer.ts: new POST /review endpoint with two-tier
  evaluator. Tier 1: cloud LLM (qwen3-coder:480b at temp=0) hand-reviews
  with full context — response + source excerpt + grounding stats — and
  emits structured verdict JSON. Tier 2: deterministic heuristic over
  grounding pct + total quotes when cloud throttles, marked source:
  "heuristic" so consumers can tune it later by comparing against cloud.
- Every verdict persists to data/_kb/observer_reviews.jsonl with full
  input snapshot so cloud vs heuristic can be A/B compared once cloud
  quota refreshes.

Verified end-to-end: smoke loop iter 1 — observer returned `cycle` on
21% grounding (cycled to next rung), `reject` on 17% (gave up). Iter 2
— `reject` on 12% and 14%. Both UNRESOLVED with honest signal instead
of polluting pathway memory with hallucinated patterns.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-25 17:32:04 -05:00
rootandClaude Opus 4.7 c90a509f49 applier: LH_APPLIER_FILES env to constrain to current-iter targets
Without this, the applier loaded the latest 34 reviews and patched the
highest-confidence file from history — which is meaningless when called
from the autonomous loop where the intent is "review file X this iter,
patch file X this iter." Now the loop passes its targets through and the
applier filters eligible reviews accordingly.

Causality is restored: scrum reviews file X → applier patches file X.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-25 17:31:49 -05:00
rootandClaude Opus 4.7 9ecc5848fa scrum: blind-response guard + anchor-grounding post-verifier
Two signal-quality fixes for the scrum loop:

1. isBlindResponse() — detects models that emit structurally-valid
   review JSON containing "no source code visible / cannot verify"
   even when source WAS supplied. Rejects so the ladder cycles to
   the next rung instead of accepting the blind hallucination.

2. verifyAnchorGrounding() + appendGroundingFooter() — post-process
   verifier that extracts every backtick-quoted snippet from the
   review and checks it against the original source content.
   Appends a grounding footer reporting grounded vs ungrounded
   counts so humans can audit hallucination rate at a glance.

Born from the iter where llm_team_ui.py review came back with 6/10
findings hallucinated (invented render_template_string calls,
fabricated logger.exception sites, made-up SHA-256 hashing).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-25 17:07:30 -05:00
rootandClaude Opus 4.7 b843a23433 mcp: contractor entity-brief drill-down + mobile UX pass
Adds /contractor page route plus /intelligence/contractor_profile
endpoint that fans out across OSHA, ticker, history, parent_link,
federal contracts, debarment, NLRB, ILSOS, news, diversity certs,
BLS macro — single per-contractor portfolio view across every
wired source.

search.html: mobile responsive layout, fixed bottom dock with
horizontal scroll-snap, legacy bridge row stacking, viewport
overflow guards.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-25 17:07:23 -05:00
rootandClaude Opus 4.7 a6c83b03e5 chore: sync Cargo.lock — toml dep for phase-42 rule loader
Pairs retroactively with de8fb10 (truth/ TOML rule loader).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-25 17:07:16 -05:00
rootandClaude Opus 4.7 858954975b Staffing Co-Pilot UI — architecture-first enrichments + shift clock
lakehouse/auditor 2 blocking issues: todo!() macro call in tests/real-world/scrum_master_pipeline.ts
J's direction: the dashboard was explanatory but not *actionable* as
a staffing-matrix console. Refactor so the architecture claims from
docs/PRD.md surface as operational signals on every contract card.

Backend (mcp-server/index.ts):

  + GET|POST /intelligence/arch_signals — probes live substrate health
    so the dashboard shows instant-search latency, index shape,
    playbook-memory entries, and pathway-memory (ADR-021) trace count.
    Fires one fresh /vectors/hybrid probe against workers_500k_v1 so
    the "instant search" number on screen is live, not cached.

  * /intelligence/permit_contracts now times every hybrid call per
    contract and returns search_latency_ms, so the card can display
    the per-query latency pill (⚡ 342ms).

  + Per-contract computed fields returned from the backend:
      search_latency_ms      — real /vectors/hybrid duration
      fill_probability       — base_pct (by pool_size×count ratio)
                               + curve [d0, d3, d7, d14, d21, d30]
                               with cumulative fill% per bucket
      economics              — avg_pay_rate, gross_revenue,
                               gross_margin, margin_pct,
                               payout_window_days [30, 45],
                               over_bill_count,
                               over_bill_pool_margin_at_risk
      shifts_needed          — 1st/2nd/3rd/4th inferred from
                               permit work_type + description regex

  * Pre-existing dangling-brace bug in api() fixed (the `activeTrace`
    logging block had been misplaced at module scope, referencing
    variables that only existed inside the function). Restart was
    failing with "Unexpected }" at line 76. Moved tracing inside the
    try block where parsed/path/body/ms are in scope.

Frontend (mcp-server/search.html):

  + Top "Substrate Signals" section — 4 live tiles (instant search,
    index, playbook memory, pathway matrix). Color-codes latency
    (green <100ms, amber <500ms, red otherwise).
  + "24/7 Shift Coverage" section — SVG 24-hour clock with 4 colored
    shift arcs (1st/2nd/3rd/4th), current-time needle, center label
    showing the live shift, per-shift contract count tiles beside.
    4th shift assumes weekend/split; handles 3rd-shift wrap across
    midnight by splitting into two arcs.
  + Per-card architecture pills: instant-search latency, SQL-filter
    pool-size with k=200 boost note, shift requirements.
  + Per-card fill-probability horizontal stacked bar with day
    markers (d0/d3/d7/d14/d21/d30) and per-bucket segment shading
    (green → amber → orange → red as time decays).
  + Per-card economics 4-tile grid: Est. Revenue, Est. Margin (with
    % colored by health), Payout Window (30–45d standard), Over-Bill
    Pool count + margin at risk.

Architecture smoke test (tests/architecture_smoke.ts, earlier commit)
still green: 11/11 pass including the new /intelligence/arch_signals
+ permit_contracts enrichments.

J specifically wanted: "shoot for the stars · hyperfocus · our
architecture is better because it self-regulates, uses hot-swap,
pulls from real data, and shows instant searches from clever
indexing." Every one of those is now a specific visible signal on
the page, not prose in the README.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 14:24:11 -05:00
rootandClaude Opus 4.7 4a94da2d41 tests/architecture_smoke — PRD-invariant probe against 500k workers
J's reset: I'd been iterating on pipeline internals without a
driver. The PRD says staffing is the REFERENCE consumer, not the
domain driver — the architecture is the thing. This test makes
that explicit.

8 sections exercise the PRD §Shared requirements against live
production-shaped data (500k workers parquet, 50k-chunk vector
index, 768d nomic embeddings):

  1. preconditions       — gateway + sidecar alive
  2. catalog lookup      — workers_500k resolves to 500000 rows
  3. SQL at scale        — count(*) + geo filter on 500k rows
  4. vector search       — /vectors/search returns top-k
  5. hybrid SQL+vector   — /vectors/hybrid with sql_filter
  6. playbook_memory     — /vectors/playbook_memory/stats
  7. pathway_memory      — ADR-021 stats + bug_fingerprints
  8. truth gate          — DROP TABLE blocked with 403

No cloud calls. Completes in ~5 seconds. Exits non-zero on any
failure; failure messages print "these are the next things to fix."

First-run measurements against current code:
  - 500k COUNT(*) = 22ms, OH-filtered = 20ms (invariant met)
  - vector search p=368ms on 10-NN
  - hybrid p=4662ms, returned 0 Toledo-OH hits (two signals worth
    investigating: the latency AND the empty result)
  - playbook_memory = 0 entries (rebuild never fired since boot)

The 11/11 pass means the substrate's contract is intact. The
measurements tell us WHERE to look next, not what to speculate.

Going forward: this script is the canary. Run it after every
substantive change. If a section flips from pass to fail, that IS
the regression; roll back or fix.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 14:12:14 -05:00
rootandClaude Opus 4.7 4087dde780 execution_loop: update stale test assertion to match current prompt format
lakehouse/auditor 2 blocking issues: todo!() macro call in tests/real-world/scrum_master_pipeline.ts
Pre-existing failure I've been noting across this session —
`executor_prompt_includes_surfaced_candidates` expected the substring
"W-1 Alice Smith" but the prompt format was intentionally changed
(probably in a Phase 38/39 commit) to separate doc_id from name so
the executor doesn't conflate `doc_id` (vector-index key) with
`workers_500k.worker_id` (integer PK).

Current prompt format (line 1178 in build_executor_prompt):
  - name="Alice Smith"  city="Toledo"  state="OH"  (vector doc_id=W-1)

The prompt body explicitly instructs the model NOT to conflate the
two IDs — the format separation is the mechanism enforcing that
instruction. The OLD test assertion predated that separation.

Assertion now checks the semantic contract (both tokens present,
any order) instead of the exact old concatenation.

Workspace test result after this commit: 343 passed, 0 failed, 0
warnings (both lib + tests).

This is the last stale-test hole from the phase-audit sweep — it
popped up during the 41-commit push but I was leaving it as
pre-existing-unrelated. J called it: sitting broken for hours is
worse than a one-line assertion update.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 14:06:24 -05:00
rootandClaude Opus 4.7 951c6014ec gateway: boot-time probe of truth/ file-backed rules
Phase 42 PRD deliverable de8fb10 landed the file loader + 2 rule
files. This commit wires the loader into gateway startup so the
rules actually get READ at boot — catches parse errors and
duplicate-ID collisions before the first request hits, rather than
"silently 0 rules loaded."

Scope is deliberately narrow — a probe, not full plumbing:

  - Reads LAKEHOUSE_TRUTH_DIR env override, defaults to
    /home/profit/lakehouse/truth
  - Skips silently with a debug log if the dir is absent
  - Loads rules on top of default_truth_store() into a throwaway
    store, logs the count (or the error)
  - Does NOT yet replace the per-request default_truth_store() in
    execution_loop or v1/chat. That plumbing needs a V1State.truth
    field + passing it through the request context, which is a
    separate scope.

Why the separation matters: this commit gives ops + me a visible
boot-time signal ("truth: loaded 3 file-backed rule(s)") that the
loader + files work end-to-end. The next commit can confidently
swap per-request stores without wondering whether the parsing even
succeeds.

Workspace warnings still at 0.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 14:03:17 -05:00
rootandClaude Opus 4.7 fee094f653 gateway/access: wire get_role + is_enabled into HTTP routes
Two of the four #[allow(dead_code)] methods in access.rs were dead
because nothing exposed them externally. access.rs itself is fine —
list_roles, set_role, can_access all have live callers. But get_role
and is_enabled were shaped as public API with no surface to call
them through.

Fix adds two small routes under /access (where the rest of the
access surface lives):

  GET /access/roles/{agent}
    Calls AccessControl::get_role(agent). Returns 404 with a clear
    message when the agent isn't registered so clients distinguish
    "unknown agent" from "access denied." Part of P13-001
    (ops tooling needs per-agent role introspection).

  GET /access/enabled
    Calls AccessControl::is_enabled(). Returns {"enabled": bool}.
    Dashboards + ops tooling poll this to confirm auth posture of
    the running gateway — distinct from /health which answers
    "is the process up" vs "is access enforcement on."

#[allow(dead_code)] removed from both methods — they have live
callers now via these routes, the linter will enforce that going
forward.

Still #[allow(dead_code)] on access.rs: masked_fields + log_query.
Both need cross-crate wiring:
  - masked_fields wants the agent's role + query response columns,
    called in response shaping (queryd returning to gateway path)
  - log_query wants post-execution audit, called after every SQL
    execution on the gateway boundary
Both are P13-001 phase 2 work — need AgentIdentity plumbed through
the /query nested router before the call sites make sense. Flagged
for follow-up.

Workspace warnings still at 0.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 14:02:01 -05:00
rootandClaude Opus 4.7 91a38dc20b vectord/index_registry: add last_used + build_signature (scrum iter 11)
Scrum iter 11 on crates/vectord/src/index_registry.rs flagged two
concrete field gaps (90% confidence). Both were tagged UnitMismatch
/ missing-invariant.

IndexMeta gains two Optional fields:

  last_used: Option<DateTime<Utc>>
    PRD 11.3 — when this index was last searched against. Callers
    were reading created_at as a liveness proxy, which conflated
    "built" with "used." IndexRegistry::touch_used(name) stamps the
    field on every hit; incremental re-embed can now skip cold
    indexes without misattributing "fresh build" to "recent use."

  build_signature: Option<String>
    PRD 11.3 — stable SHA-256 of (sorted source files + chunk_size
    + overlap + model_version). compute_build_signature() in the
    same module is deterministic: file-order-invariant, changes on
    chunk param, changes on model version. Lets incremental re-embed
    answer "has anything changed since last build?" without scanning
    the source Parquet.

Both fields are #[serde(default)] — the ~40 existing .json meta
files under vectors/meta/ load unchanged. Backward-compat verified
by the explicit `index_meta_deserializes_without_new_fields_backcompat`
test.

7 new tests:
  - build_signature_is_deterministic
  - build_signature_order_invariant (sorted internally)
  - build_signature_changes_on_chunk_param
  - build_signature_changes_on_model_version
  - touch_used_updates_last_used
  - touch_used_is_noop_on_missing_index
  - index_meta_deserializes_without_new_fields_backcompat

Call-site fixes: crates/vectord/src/refresh.rs:294 and
crates/vectord/src/service.rs:244 both construct IndexMeta with
fully-literal init, default the new fields to None. One
indentation cleanup on service.rs (a pre-existing visual issue on
id_prefix: None).

Workspace warnings still at 0. touch_used() isn't wired into search
hot-path yet — follow-up commit when the search handlers can
adopt it without a broader refactor.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 14:00:09 -05:00
rootandClaude Opus 4.7 6532938e85 gateway/tools: truth gate for model-provided SQL (iter 11 CF-1+CF-2)
Scrum iter 11 flagged crates/gateway/src/tools/service.rs with two
95%-confidence critical failures:

  CF-1: "Direct SQL execution from model-provided parameters without
         explicit validation or sanitization" (line 68, 95% conf)
  CF-2: "No permission check performed before executing SQL query;
         access control is bypassed entirely" (line 102, 90% conf)

CF-1 is the real one — same security gap as queryd /sql had before
P42-002 (9cc0ceb). Tool invocations build SQL from a template +
model-provided params, then state.query_fn.execute(&sql) runs it.
No truth-gate check between build and execute meant an adversarial
model could emit DROP TABLE / DELETE FROM / TRUNCATE inside a param
and bypass queryd's gate by routing through the tool surface instead.

Fix mirrors the queryd SQL gate exactly:
  - ToolState grows an Arc<TruthStore> field
  - main.rs constructs it via truth::sql_query_guard_store()
    (shared default — same destructive-verb block as queryd)
  - call_tool evaluates the built SQL against "sql_query" task class
    BEFORE executing
  - Any Reject/Block outcome → 403 FORBIDDEN + log_invocation row
    marked success=false with the rule message

CF-2 (access control) is P13-001 territory — needs AccessControl
wiring into queryd first, still open. Flagged in memory.

Workspace warnings still at 0. Pattern is now:
  queryd /sql        → truth::sql_query_guard_store (9cc0ceb)
  gateway /tools     → truth::sql_query_guard_store (this commit)
  execution_loop     → truth::default_truth_store (51a1aa3)
All three surfaces that pipe SQL or spec-shaped data through to the
substrate now gate it. Any new SQL-executing surface should follow
the same pattern.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 13:52:29 -05:00
rootandClaude Opus 4.7 de8fb10f52 phase-42: truth/ repo-root dir + TOML rule loader
lakehouse/auditor 4 blocking issues: todo!() macro call in tests/real-world/scrum_master_pipeline.ts
Phase 42 PRD (docs/CONTROL_PLANE_PRD.md:144): "truth/ dir at repo
root — rule files, versioned in git." Didn't exist. Landing both the
dir + its loader.

New files:

  truth/
    README.md                — documents file format, rule shape,
                               composition model (file rules are
                               additive on top of in-code default_
                               truth_store), explicit non-goals
                               (no hot reload, no inheritance)
    staffing.fill.toml       — 2 staffing.fill rules:
                               endorsed-count-matches-target,
                               city-required (both Reject via
                               FieldEmpty)
    staffing.any.toml        — 1 staffing.any rule:
                               no-destructive-sql-in-context via
                               FieldContainsAny (parallel to the
                               queryd SQL gate we already ship)

  crates/truth/src/loader.rs — load_from_dir(store, dir)
                             — 5 tests: happy path, duplicate-ID
                               rejection within files, duplicate-ID
                               rejection against in-code rules,
                               non-toml files skipped, missing-dir
                               error. Alphabetical file order for
                               reproducible error messages.

  crates/truth/src/lib.rs    — new pub fn all_rule_ids() helper on
                               TruthStore so the loader can detect
                               collisions without breaching the
                               private `rules` field.

  crates/truth/Cargo.toml    — adds `toml` workspace dep.

Composition model: file rules are ADDITIVE on top of what
default_truth_store() registers in code. Operators can tune
thresholds/needles/descriptions at the file layer without a code
deploy. Schema changes (new RuleCondition variants) still need a
code bump.

Integration hook (not in this commit, flagged for follow-up):
main.rs should call loader::load_from_dir(&mut store, "truth/")
after default_truth_store() so file-backed rules take effect on
gateway boot. Deliberately separate: this commit lands the
machinery; wiring it on happens when the team is ready to own
the rule file lifecycle.

Total: 37 truth tests green (was 32). Workspace warnings still 0.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 13:44:23 -05:00
rootandClaude Opus 4.7 0b3bd28cf8 phase-40: Gemini + Claude provider adapters
Phase 40 PRD (docs/CONTROL_PLANE_PRD.md:82-83) listed:
  - crates/aibridge/src/providers/gemini.rs
  - crates/aibridge/src/providers/claude.rs

Neither existed. Landing both now, in gateway/src/v1/ (matches the
existing ollama.rs + openrouter.rs sibling pattern — aibridge's
providers/ is for the adapter *trait* abstractions, v1/ holds the
concrete /v1/chat dispatchers that know the wire format).

gemini.rs:
  - POST https://generativelanguage.googleapis.com/v1beta/models/
    {model}:generateContent?key=<API_KEY>
  - Auth: query-string key (not bearer)
  - Maps messages → contents+parts (Gemini's wire shape),
    extracts from candidates[0].content.parts[0].text
  - 3 tests: key resolution, body serialization (camelCase
    generationConfig + maxOutputTokens), prefix-strip

claude.rs:
  - POST https://api.anthropic.com/v1/messages
  - Auth: x-api-key header + anthropic-version: 2023-06-01
  - Carries system prompt in top-level `system` field (not
    messages[]). Extracts from content[0].text where type=="text"
  - 4 tests: key resolution, body serialization with/without
    system field, prefix-strip

v1/mod.rs:
  + V1State.gemini_key + claude_key Option<String>
  + resolve_provider() strips "gemini/" and "claude/" prefixes
  + /v1/chat dispatcher handles "gemini" + "claude"/"anthropic"
  + 2 new resolve_provider tests (prefix + strip per adapter)

main.rs:
  + Construct both keys at startup via resolve_*_key() helpers.
    Missing keys log at debug (not warn) since these are optional
    providers — unlike OpenRouter which is the rescue rung.

Every /v1/chat error path mirrors the existing pattern:
  - 503 SERVICE_UNAVAILABLE when key isn't configured
  - 502 BAD_GATEWAY with the provider's error text when the
    upstream call fails
  - Response shape always the OpenAI-compatible ChatResponse

Workspace warnings still at 0. 9 new tests pass.

Pre-existing test failure `executor_prompt_includes_surfaced_
candidates` at execution_loop/mod.rs:1550 is unrelated (fails on
pristine HEAD too — PR fixture divergence).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 13:41:31 -05:00
rootandClaude Opus 4.7 b5b0c00efe phase-43: new crates/validator — trait, staffing impls, devops scaffold
lakehouse/auditor 3 blocking issues: todo!() macro call in tests/real-world/scrum_master_pipeline.ts
Phase 43 PRD (docs/CONTROL_PLANE_PRD.md:161) was the one audit finding
truly unimplemented — no crate, no trait, no tests, no workspace entry.
Neither PHASES.md nor the source tree had any Phase 43 presence.
Genuine greenfield gap.

Lands the scaffold as a real crate, registered in workspace Cargo.toml:

  crates/validator/
    src/lib.rs            — Validator trait, Artifact enum (5 variants:
                            FillProposal, EmailDraft, Playbook,
                            TerraformPlan, AnsiblePlaybook), Report,
                            Finding, Severity, ValidationError
    src/staffing/mod.rs   — staffing validators module root
    src/staffing/fill.rs  — FillValidator (schema-level: fills array
                            + per-fill {candidate_id, name}). 4 tests.
                            Worker-existence + status + geo checks
                            are TODO v2 (need catalog query handle).
    src/staffing/email.rs — EmailValidator (to/body schema + SMS ≤160
                            + email subject ≤78). 4 tests. PII scan +
                            name-consistency TODO v2.
    src/staffing/playbook.rs — PlaybookValidator (operation prefix,
                            endorsed_names non-empty + ≤ target×2,
                            fingerprint present per Phase 25). 5 tests.
    src/devops.rs         — TerraformValidator + AnsibleValidator
                            scaffolds. Return Unimplemented — keeps
                            dispatcher shape stable, surfaces a clear
                            "phase 43 not wired" signal instead of
                            silently passing or panicking.

Total: 15 tests, all green. Covers the happy paths, the common
failure modes (missing fields, overfull arrays, length violations),
and the dispatch-error path (wrong artifact type into wrong validator).

Still open from Phase 43 (v2 work, beyond scaffold):
  - FillValidator catalog integration (worker-existence, status,
    geo/role match) — needs catalog handle in constructor
  - EmailValidator PII scan (shared::pii::strip_pii integration) +
    name-consistency cross-check
  - Execution loop wiring: generate → validate → observer correction
    + retry (bounded by max_iterations=3) — spans crates, follow-up
  - Observer logging: validation results to data/_observer/ops.jsonl
    and data/_kb/outcomes.jsonl
  - Scenario fixture tests against tests/multi-agent/playbooks/*

Workspace warnings still at 0.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 13:35:22 -05:00
rootandClaude Opus 4.7 2f1b9c9768 phase-39+41: land promised artifacts — providers.toml, activation.rs, profiles/
Three PRD gaps closed in one coherent batch — all were cosmetic or
scaffold-shaped, now real files:

Phase 39 (PRD:57):
  + config/providers.toml — provider registry (name/base_url/auth/
    default_model) for ollama, ollama_cloud, openrouter. Commented
    stubs for gemini + claude pending adapter work. Secrets stay in
    /etc/lakehouse/secrets.toml or env, NEVER inline.

Phase 41 (PRD:115):
  + crates/vectord/src/activation.rs — ActivationTracker with the
    PRD-named single-flight guard ("refuse new activation if one is
    pending/running"). Per-profile granularity — activating A doesn't
    block B. 5 tests cover the full state machine. Handler body stays
    in service.rs for now; tracker usage integration is a follow-up.

Phase 41 (PRD:113):
  + crates/shared/src/profiles/ with 4 submodules:
      * execution.rs — `pub use crate::types::ModelProfile as
        ExecutionProfile` (backward-compat rename per PRD)
      * retrieval.rs — top_k, rerank_top_k, freshness cutoff,
        playbook boost, sensitivity-gate enforcement
      * memory.rs — playbook boost ceiling, history cap, doc
        staleness, auto-retire-on-failure
      * observer.rs — failure cluster size, alert cooldown, ring
        size, langfuse forwarding
    All fields `#[serde(default)]` so existing ModelProfile files
    load unchanged.

Still open from the same phases:
  - Gemini + Claude provider adapters (Phase 40 — 100-200 LOC each)
  - Full activate_profile handler extraction into activation.rs
    (Phase 41 — module-structure refactor)
  - Catalogd CRUD endpoints for retrieval/memory/observer profiles
    (Phase 41 — exists at list level, no create/update/delete yet)
  - truth/ repo-root directory for file-backed rules (Phase 42 —
    TOML loader + schema)
  - crates/validator crate (Phase 43 — full greenfield)

Workspace warnings still at 0. 5 new tests, all green.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 13:32:40 -05:00
rootandClaude Opus 4.7 021c1b557f agent.ts: route generateCloud through /v1/chat (Phase 44 migration)
Phase 44 PRD (docs/CONTROL_PLANE_PRD.md:204) explicitly lists
`tests/multi-agent/agent.ts::generate()` as a migration target:
every internal LLM caller must flow through /v1/chat so usage
accounting + audit trail see all traffic.

generateCloud() was bypassing the gateway entirely — direct POST to
OLLAMA_CLOUD_URL/api/generate with the bearer key. This meant:
  - /v1/usage missed every agent.ts cloud call
  - No gateway-side caching, rate-limiting, or cost gating
  - Callers needed OLLAMA_CLOUD_KEY in env (leak risk; gateway
    already owns the key)

Migration:
  - Endpoint: OLLAMA_CLOUD_URL/api/generate → GATEWAY/v1/chat
  - Body shape: {prompt,options.num_predict,options.temperature} →
    OpenAI-compatible {messages[],temperature,max_tokens}
  - provider: "ollama_cloud" explicit in the request
  - Response extraction: data.response → data.choices[0].message.content
  - OLLAMA_CLOUD_KEY no longer required in agent.ts env

Phase 44 gate verified: `grep localhost:3200/generate|/api/generate`
now only hits (a) the ollama_cloud.rs adapter itself (legit — it's
the gateway-side direct caller) and (b) this comment explaining the
migration history. Zero non-adapter code paths to /api/generate.

generate() (local Ollama) still goes direct to :3200 — that's the
t1_hot path. Phase 44 PRD focuses on cloud callers; hot-path local
generation deliberately stays direct for latency.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 13:27:54 -05:00
rootandClaude Opus 4.7 049a4b69fb truth: split staffing + devops into dedicated modules (Phase 42 PRD)
Phase 42 PRD (docs/CONTROL_PLANE_PRD.md:137) specified:
  - crates/truth/src/staffing.rs — staffing rule shapes
  - crates/truth/src/devops.rs — scaffold for DevOps long-horizon

PHASES.md marked Phase 42 done, but the rule sets lived inline in
default_truth_store() in lib.rs. Worked, but doesn't match the PRD's
module separation — and that separation matters when the long-horizon
phase fleshes out devops rules: "Keeps the dispatcher signature stable
so no refactor needed later."

Fix: extract staffing_rules() into staffing.rs (5 rules, unchanged
behavior) + create devops.rs with an empty scaffold. default_truth_store
becomes a one-line composition:
    devops::devops_rules(staffing::staffing_rules(TruthStore::new()))

4 new tests in the submodules cover:
  - staffing_rules registers expected count (regression guard)
  - blacklisted worker fails the client-not-blacklisted rule
  - missing deadline fires Reject via FieldEmpty condition
  - devops scaffold is a no-op for now

Total truth tests: 28 → 32. Workspace warnings still at 0.

Still open from Phase 42 (flagged, not in this commit):
  - `truth/` dir at repo root for file-backed rule loading (TOML/YAML).
    Rules are in-code today; loader work is a separate feature.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 13:25:54 -05:00
rootandClaude Opus 4.7 ed85620558 scrum: filter table-header words from bug_fingerprint extraction
Iter 11 surfaced "DeadCode:Flag" in the matrix — a noisy pattern_key
where "Flag" is the table column HEADER kimi produces for structured
review output, not an actual Rust identifier.

Kimi's standard format on recent iters:
  | # | Change                    | Flag       | Confidence |
  | 1 | Wire AgentIdentity into.. | Boundary.. | 92%        |

The extractor's KEYWORDS set already filtered Rust grammar words
(self, mut, async, etc) and the FLAG_VARIANTS themselves. Adding
markdown-layout words (Flag, Change, Confidence, PRD, Plan) closes
the last common noise class.

One-line addition — empirically validated against the iter 11
vectord trace that produced DeadCode:Flag. Future iters won't
reproduce that specific noise.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 13:22:50 -05:00
rootandClaude Opus 4.7 08cc960115 vectord: Phase 41 gate fixes — 202 ACCEPTED + /profile/jobs/{id} alias
Phase 41 PRD (docs/CONTROL_PLANE_PRD.md:121) gate:
  "Activate a profile → returns 202 in <100ms → job completes in
   background → /vectors/profile/jobs/{id} shows progress"

Two concrete mismatches to PRD:

1. activate_profile returned HTTP 200, not 202. Fix: wrap the Json
   return in (StatusCode::ACCEPTED, Json(...)) so the async semantics
   are visible at the status-code level.

2. The PRD quotes GET /vectors/profile/jobs/{id} but code only exposed
   /vectors/jobs/{id}. Fix: add an alias route — same get_job handler,
   second URL matches what the PRD's polling example documents.

Still open from Phase 41 (flagged for follow-up, bigger scope):
  - crates/shared/src/profiles/ module with ExecutionProfile,
    RetrievalProfile, MemoryProfile, ObserverProfile types — PRD
    claims them, file doesn't exist; ModelProfile still does all
    four roles today. This is a real schema-refactor, not 6-line work.
  - crates/vectord/src/activation.rs with ActivationTracker — the
    activation logic lives inline in service.rs; extracting it is
    a module-structure change.
  - Phase 37 hot-swap stress test in tests/multi-agent/run_stress.ts
    Phase 3 — PRD says it must pass, current state unknown.

Workspace warnings still at 0.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 13:21:49 -05:00
rootandClaude Opus 4.7 24b06d80b2 mcp: register gitea-mcp server — closes Phase 40 repo-ops gap
Phase 40 PRD (docs/CONTROL_PLANE_PRD.md:91) claimed:
  "Gitea MCP reconnect — the MCP server binary still installed at
   /home/profit/.bun/install/cache/gitea-mcp@0.0.10/ gets wired into
   mcp-server/index.ts tool registry."

The PHASES.md checkbox marked this done, but audit found:
  - gitea-mcp binary exists in bun cache (verified)
  - Zero references to gitea/list_prs/open_pr in mcp-server/index.ts
  - No entry for "gitea" in .mcp.json

The PRD's architectural description ("wired into mcp-server/index.ts
tool registry") is conceptually wrong — gitea-mcp is a peer MCP server
that the MCP host (Claude Code) connects to directly, not a library
to import. Correct wiring: register it in .mcp.json so Claude Code
spawns both lakehouse's MCP server AND gitea-mcp as separate children,
each exposing their own tools.

This commit adds the "gitea" entry to .mcp.json pointing at bunx
gitea-mcp with GITEA_HOST set to git.agentview.dev.

OPERATOR STEP (one-time): before restarting Claude Code, generate a
personal access token at https://git.agentview.dev/user/settings/
applications and replace the SET_ME_... placeholder in
GITEA_ACCESS_TOKEN. Token needs at minimum `read:repository,
write:issue, read:user` scopes for list_prs/open_pr/comment_on_issue.

Still open from Phase 40 (not in this commit, bigger scope):
  - crates/aibridge/src/providers/gemini.rs (claimed, missing)
  - crates/aibridge/src/providers/claude.rs (claimed, missing)
These are ~100-200 lines each (full HTTP adapter + auth + request
shape mapping). Flag as follow-up commits.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 13:19:46 -05:00
rootandClaude Opus 4.7 999abd6999 gateway/v1: model-prefix routing closes Phase 39 PRD gate
lakehouse/auditor 4 blocking issues: todo!() macro call in tests/real-world/scrum_master_pipeline.ts
Phase 39 PRD (docs/CONTROL_PLANE_PRD.md:62) promised:
  "/v1/chat routes by `model` field: prefix match
   (e.g. openrouter/anthropic/claude-3.5-sonnet → OpenRouter;
   bare names → Ollama)"

Actual behavior required clients to pass `provider: "openrouter"`
explicitly. Bare `model: "openrouter/..."` would fall through to the
"unknown provider ''" error. PRD gate never actually passed.

Fix: resolve_provider(&ChatRequest) picks (provider, effective_model):
  - explicit `req.provider` wins, model passes through unchanged
  - else strip "openrouter/" prefix → provider="openrouter", model
    without prefix (OpenRouter API expects "openai/gpt-4o-mini",
    not "openrouter/openai/gpt-4o-mini")
  - else strip "cloud/" prefix → provider="ollama_cloud"
  - else default provider="ollama"

Adapter calls use Cow<ChatRequest>: borrowed when no strip needed
(zero alloc), owned when we needed to build a new model string. Keeps
the hot path allocation-free for the common case.

ChatRequest gains #[derive(Clone)] — needed for the Owned variant.
5 new tests pin the resolution semantics including the
"explicit provider + prefixed model" corner case (trust the caller,
don't double-strip).

Workspace warnings unchanged at 0.

Still not shipped from Phase 39: config/providers.toml — hardcoded
match arms work fine in practice, centralizing them is cosmetic.
Flag as a follow-up if a 4th provider lands.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 13:16:36 -05:00
rootandClaude Opus 4.7 0cf1b7c45a scrum_master: env-configurable tree-split threshold + shard size
lakehouse/auditor 1 blocking issue: todo!() macro call in tests/real-world/scrum_master_pipeline.ts
Hard-coded constants (FILE_TREE_SPLIT_THRESHOLD=6000, FILE_SHARD_SIZE=3500)
were tuned for Rust source files in crates/<crate>/src/*.rs. Running
the pipeline against /root/llm-team-ui/llm_team_ui.py (13K lines, ~400KB)
would produce ~200 shards per review at the default size — not viable.

Two env vars now:
  - LH_SCRUM_TREE_SPLIT_THRESHOLD — when tree-split fires (default 6000)
  - LH_SCRUM_SHARD_SIZE — bytes per shard (default 3500)

For the big-Python case the CLAUDE.md in /root/llm-team-ui/ recommends
LH_SCRUM_TREE_SPLIT_THRESHOLD=20000, LH_SCRUM_SHARD_SIZE=12000 which
brings the 13K-line file down to ~35 shards — same ballpark as a
typical Rust file review.

No default change. Existing lakehouse runs unaffected.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 13:02:45 -05:00
rootandClaude Opus 4.7 81bae108f4 gateway/tools: collapse ToolRegistry::new() and new_with_defaults() into one
lakehouse/auditor 1 blocking issue: todo!() macro call in tests/real-world/scrum_master_pipeline.ts
Two constructors existed with a subtle trap:

  - `new()` had `#[allow(dead_code)]` and called `register_defaults()`
    via `tokio::task::block_in_place(...)` — a sync wrapper hack around
    an async method, fragile and unused.
  - `new_with_defaults()` was misleadingly named — it created the empty
    registry WITHOUT registering defaults, despite the name.

main.rs was doing the right thing: `new_with_defaults()` + explicit
`.register_defaults().await`. The misleading name was a landmine
for future callers.

Fix: delete the dead `new()` with its block_in_place hack, rename
`new_with_defaults()` → `new()` (Rust idiom — `new` is the canonical
constructor), add a docstring that says what you need to do after.
Single clear API.

Update the one caller in main.rs. Workspace warnings still at 0.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 06:44:18 -05:00
rootandClaude Opus 4.7 5df4d48109 cleanup: drop two #[allow] attributes that were hiding real dead code
lakehouse/auditor 1 blocking issue: todo!() macro call in tests/real-world/scrum_master_pipeline.ts
- ingestd/src/service.rs: top-of-file `#[allow(unused_imports)]`
    was masking genuinely unused `delete` and `patch` routing
    constructors in an axum import block. Removed the attribute,
    trimmed the imports to only `get` and `post` (what's actually
    used). Any future over-import now trips the unused_imports
    lint immediately instead of being silently allowed.

  - gateway/src/v1/truth.rs: `truth_router()` was a 4-line stub
    wrapping a single `/context` route — carried `#[allow(dead_code)]`
    because v1/mod.rs wires `get(truth::context)` directly onto its
    own router, bypassing this helper. Zero callers across the
    workspace. Deleted the function + allow + now-unused Router
    import. Left a breadcrumb comment pointing to the real wiring.

Workspace warnings: 0 (lib + tests). Each #[allow] removed raises
the bar on future code entering these modules — the linter now
catches the same classes of bugs at PR time.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 06:42:49 -05:00
rootandClaude Opus 4.7 ffdc842ec3 ingestd: scope test-only imports into the test module
schema_evolution.rs had two `#[allow(unused_imports)]` attributes hiding
over-broad top-level imports:
  - `Schema` was imported at crate level but only used in test code
  - `Arc` was imported at crate level but only used in test code
  - `DataType` and `SchemaRef` were actually used (28 references) — the
    allow on that line was cargo-culted.

Fix: drop the allows, move Schema + Arc into the #[cfg(test)] block
where they're actually used. The non-test build no longer imports
symbols it doesn't need. Test build still works because the imports
are now in the test module's scope.

Workspace warnings still at 0 (lib + tests). Net: -3 import lines
from crate scope, +2 into test scope.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 06:41:15 -05:00
rootandClaude Opus 4.7 12e615bb5d ingestd/vectord: remove two fragile unwraps on Option paths
lakehouse/auditor 1 blocking issue: todo!() macro call in tests/real-world/scrum_master_pipeline.ts
Both were technically safe — guarded above by map_or(true, ...) and
Some(entry) assignment respectively — but relied on multi-line
invariants that a future refactor could easily break.

  - ingestd/watcher.rs:80: path.file_name().unwrap() on a path that
    was already checked via map_or(true, ...) two lines up. Fix:
    let-else binds filename once, no double lookup, no unwrap.

  - vectord/promotion.rs:145: file.current.as_ref().unwrap() called
    TWICE on the same line to log config + trial_id. Guard via
    `if let Some(cur) = &file.current` so the log gracefully skips
    if the invariant ever breaks instead of panicking at runtime.

Both are drop-in semantically: happy path identical, error path now
graceful-skip instead of panic. Workspace warnings still at 0.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 06:39:40 -05:00
rootandClaude Opus 4.7 a934a76988 aibridge: delete deprecated estimate_tokens wrapper — fully migrated
lakehouse/auditor 1 blocking issue: todo!() macro call in tests/real-world/scrum_master_pipeline.ts
cdc24d8 migrated all 5 call sites to shared::model_matrix::ModelMatrix.
Grep across the workspace confirms zero remaining callers (only doc
comments in the new module reference the old name). Wrapper was there
to smooth the transition; transition is done.

Leaves a 3-line breadcrumb comment pointing to the new location so
anyone opening this file sees the migration history. The deprecated
wrapper itself is 4 lines deleted.

Workspace warnings still at 0 (both lib + tests).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 06:38:01 -05:00
rootandClaude Opus 4.7 cdc24d8bd0 shared: build ModelMatrix — migrate 5 call sites off deprecated estimate_tokens
lakehouse/auditor 1 blocking issue: todo!() macro call in tests/real-world/scrum_master_pipeline.ts
The `aibridge::context::estimate_tokens` deprecation has been pointing
at `shared::model_matrix::ModelMatrix::estimate_tokens` for a while,
but that module didn't exist — so the deprecation was aspirational
noise, not actionable guidance.

Built the minimal target: `shared::model_matrix::ModelMatrix` with
an associated `estimate_tokens(text: &str) -> usize` method. Same
chars/4 ceiling heuristic as the deprecated helper. 6 tests cover
empty/3/4/5-char cases, multi-byte UTF-8 (emoji count as 1 char each),
and linear scaling to 400-char inputs.

Migrated 5 call sites:
  - aibridge/context.rs:88 — opts.system token count
  - aibridge/context.rs:89 — prompt token count
  - aibridge/tree_split.rs:22 — import (now uses ModelMatrix)
  - aibridge/tree_split.rs:84, 89 — truncate_scratchpad budget loop
  - aibridge/tree_split.rs:282 — scratchpad post-truncation assertion
  - aibridge/context.rs:183 — system-prompt budget test

Also cleaned up two parallel test warnings:
  - aibridge/context.rs legacy estimate_tokens_ceiling_divides_by_four
    test deleted (ModelMatrix's tests cover the same behavior now).
  - vectord/playbook_memory.rs:1650 unused_mut on e_alive.

Net workspace warning count: 11 → 0 (including --tests build).

The deprecated `estimate_tokens` wrapper stays in aibridge/context.rs
for external callers. Future commits can remove it entirely once no
public API surface still references it.

The applier's warning-count gate now has a floor of 0 — any future
patch that introduces a single warning trips the gate automatically.
Previously a floor of 11 tolerated noise.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 06:32:16 -05:00
rootandClaude Opus 4.7 fdc5123f6d cleanup: drop workspace warnings from 11 to 6
lakehouse/auditor 1 blocking issue: todo!() macro call in tests/real-world/scrum_master_pipeline.ts
Three trivial cleanups that pull the workspace baseline down by five:

  - vectord/trial.rs: removed unused ObjectStore import (not referenced
    anywhere in the file; cargo's unused_imports lint was flagging it
    on every check). Net: -2 warnings (cascade effect from one import).
  - ui/main.rs:1241: `Err(e)` with unused binding → `Err(_)`.
  - ui/main.rs:1247: `let mut import_table` never mutated → `let`.

Matters because the scrum_applier's hardened warning-count gate uses
this baseline as its reject threshold. Lower baseline = lower floor
= any future patch that adds a warning trips the gate earlier.

Remaining 6 warnings are all aibridge context::estimate_tokens
deprecation notices pointing at a planned-but-unbuilt
shared::model_matrix::ModelMatrix::estimate_tokens. Fix requires
creating that type (next commit).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 06:28:36 -05:00
rootandClaude Opus 4.7 51a1aa3ddc gateway/execution_loop: wire truth gate (Phase 42 step 6 — was TODO)
lakehouse/auditor 1 blocking issue: todo!() macro call in tests/real-world/scrum_master_pipeline.ts
Line 156 had `// --- (6) TRUTH GATE — PORT FROM Phase 42 (TODO) ---`
sitting empty for weeks. The Blocked outcome variant existed but was
marked #[allow(dead_code)] because nothing constructed it.

Now: before the main turn loop, evaluate truth rules for the request's
task_class against self.req.spec. Any rule whose condition holds AND
whose action is Reject/Block short-circuits to RespondOutcome::Blocked
with a reason citing the rule_id. Downstream finalize() already matched
Blocked at line 848 (maps to truth_block category in kb row).

Mirrors the queryd/service.rs SQL gate from 9cc0ceb — same
truth::evaluate contract, same short-circuit pattern, same reason
shape. For staffing.fill that means rules like deadline-required
and budget-required now enforce at /v1/respond entry.

Workspace warnings unchanged at 11. Blocked variant no longer needs
#[allow(dead_code)] because it's now constructed.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 06:24:38 -05:00
rootandClaude Opus 4.7 d122703e9a vectord: delete _run_embedding_job_legacy — 44 lines of explicit dead code
lakehouse/auditor 1 blocking issue: todo!() macro call in tests/real-world/scrum_master_pipeline.ts
Function was labeled "Legacy single-pipeline embedding (replaced by
supervisor)" with a #[allow(dead_code)] attribute. Zero callers across
the workspace. This is exactly what `#[allow(dead_code)]` is supposed
to silently flag as "I know this is dead but I'm not committing to
removing it" — so let's commit to removing it.

Iter memory grep for this pattern showed 5 remaining #[allow(dead_code)]
attributes in the workspace (1 here, 4 in gateway/access.rs). The four
in access.rs are waiting on P13-001 (queryd → AccessControl wiring)
before removing — that's cross-crate work. This one was self-contained.

Net: -44 lines of dead code + comment. Workspace warnings unchanged at 11.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 06:22:27 -05:00
rootandClaude Opus 4.7 3963b28b50 aibridge: fix glob_match — remove dead panic branch + add multi-* support
Iter 9 scrum flagged routing.rs with OffByOne + NullableConfusion risks
on the glob matcher. Two real bugs in one function:

1. The `else if parts.len() == 1` branch was dead AND panic-hazardous:
   split('*') on a string containing '*' always yields ≥2 parts, so
   the branch was unreachable — but if ever reached (via future
   caller or split-behavior change), `parts[1]` would index out of
   bounds and panic.

2. Multi-* patterns like `gpt-*-large*` fell through to exact-match
   because the `parts.len() == 2` branch only handled single-*. Result:
   a rule like `model_pattern: "gpt-*-oss-*"` would only match the
   literal string "gpt-*-oss-*", never an actual gpt-4-oss-120b.

Fix walks parts left-to-right: prefix check, suffix check, each
interior segment must appear in order. Cursor-advance logic ensures
a mid-segment that appears before cursor (duplicate prefix) can't
falsely match.

8 new tests cover: exact match, exact mismatch, leading/trailing/bare
wildcards, multi-* in-order, multi-* wrong-order (regression guard),
and the old panic-hazard case ("a*b*c" variants) as an explicit check.

Workspace warnings unchanged at 11.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 06:21:11 -05:00
rootandClaude Opus 4.7 c47523e5bd queryd: add latency_ms to QueryResponse (iter 9 finding #3, 88% conf)
Scrum iter 9 flagged that gateway's audit row stores null for
`latency_ms` — required for PRD audit-log parity. The field didn't
exist; adding it now with a single Instant captured at handler entry,
populated on both response paths (empty batches + non-empty result).

No behavior change for existing clients — they read the JSON and
ignore unknown fields. Audit-log consumers can now surface p50/p99
latency from the response body instead of inferring from tracing.

Narrow fingerprint on crates/queryd already has this as a known
BoundaryViolation pattern (`latency_ms-row_count` key) — iter 10 on
any queryd file will see the preamble say "this was fixed in iter 10"
when it runs.

Workspace warnings unchanged at 11. 7 policy tests still pass.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 06:18:46 -05:00
rootandClaude Opus 4.7 fd92a9a0d0 docs: SCRUM_MASTER_SPEC.md — single handoff artifact for the scrum loop
lakehouse/auditor 1 blocking issue: todo!() macro call in tests/real-world/scrum_master_pipeline.ts
Fresh-session artifact so work is recoverable if the branch is reopened
in a new Claude Code session without context. Covers:

  - 9-rung ladder (kimi-k2:1t through local qwen3.5:latest)
  - tree-split reducer (files >6KB sharded + map→reduce)
  - schema_v4 KB rows in data/_kb/scrum_reviews.jsonl
  - auto-applier 5 hardened gates (confidence, size, cargo-green,
    warning-count, rationale-diff)
  - pathway_memory (ADR-021) — narrow fingerprint + hot-swap gate +
    semantic-correctness layer (SemanticFlag, BugFingerprint)
  - HTTP surface on gateway (/vectors/pathway/*)
  - current state (12 traces, 11 fingerprints, 0 hot-swaps — probation)
  - commit history on scrum/auto-apply-19814 since iter-5 baseline
  - how-to-run (env vars, service restarts)
  - where things live (code pointers table)
  - known gotchas (LLM Team mode registry, restart requirements)

Paired updates (not in this commit, live outside the repo):
  - /home/profit/CLAUDE.md — active workstream pointer + notes
  - /root/.claude/skills/read-mem/SKILL.md — SCRUM_MASTER_SPEC.md added
    to the loading list + ADR-021 glossary
  - memory/project_scrum_pipeline.md — updated with iter-9 state
  - memory/feedback_semantic_correctness_via_matrix.md — updated with
    end-to-end proof evidence

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 06:15:53 -05:00
rootandClaude Opus 4.7 f4cff660aa ADR-021 Phase D fix: strip flag names + Rust keywords from pattern_keys
Iter 9 revealed two quality bugs in the extractor:

1. Kimi wraps the Flag column in backticks (\`DeadCode\`), so the flag
   name itself was captured as a code token. Result: pattern_keys like
   "DeadCode:DeadCode" that match nothing and add noise to the index.
   Fix: filter FLAG_VARIANTS out of token candidates.

2. Complex backtick content like \`Foo::bar(&self) -> u64\` was rejected
   wholesale by the identifier regex. Fallback now scans for identifier
   substrings and ranks by ::-qualified paths first, then length.
   Bonus: filter Rust keywords (self, mut, async, etc) since they're
   grammar, not bug-shape signal.

Dry-run on iter 9 delta.rs output produces semantically meaningful keys:
  DeadCode:DeltaStats::tombstones_applied
  NullableConfusion:DeltaError-DeltaStats-apply_delta
  BoundaryViolation:apply_delta-journald::emit-rows_dropped_by_tombstones
  PseudoImpl:apply_delta-delta_ops-validate_schema

These are stable under reviewer prose variation (canonical sort + top-3
slice) and precise enough to separate different bugs within the same
Flag category.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 06:05:50 -05:00
rootandClaude Opus 4.7 ee31424d0c ADR-021 Phase D: bug_fingerprint pattern extraction from reviewer output
lakehouse/auditor 4 blocking issues: todo!() macro call in tests/real-world/scrum_master_pipeline.ts
Fills the gap between Phase B (flags tagged) and Phase C (preamble
quotes past fingerprints): parses each reviewer line that mentions a
Flag variant, collects backtick-quoted identifiers, canonicalizes them
(sorted alphabetically, top 3), and emits a stable pattern_key of
shape `{Flag}:{tok1}-{tok2}-{tok3}`.

Stability by design: canonical sort means "row_count + QueryResponse"
and "QueryResponse + row_count" produce the same key, so variation in
reviewer prose doesn't fragment the index. Top-3 cap keeps keys short
while retaining enough signal to separate different bugs of the same
category.

Dry-run validation on iter-8 delta.rs output (crates/queryd prefix)
extracted 10 semantically meaningful fingerprints including:
  - UnitMismatch:base_rows-checked_add-checked_sub
  - DeadCode:queryd::delta::write_delta (P9-001 dead-function finding)
  - BoundaryViolation:can_access-log_query-masked_columns (P13-001 gap)
  - NullableConfusion:CompactResult-DeltaError-IntegerOverflow

Cross-cutting signal: kimi-k2:1t's finding #5 explicitly quoted the
seeded pathway memory preamble ("Pathway memory flags row_count-
file_count unit mismatch") and proposed overflow-checked arithmetic as
the fix. That is the compounding loop in action — prior bug context
shifted the reviewer's attention toward a specific instance of the
same class, which produces a specific pattern_key that will compound
further on the next iter.

Filter: identifier-shaped tokens only (A-Za-z_ / :: paths / snake_case
/ CamelCase). Skips punctuation, prose quotes, and tokens <3 chars so
generic nouns and partial words don't pollute the index.

What's still queued (Phase E):
  - type_hints_used population from catalogd column types + Arrow schema
  - auditor → pathway audit_consensus update wire (strict-audit gate
    activation)

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 06:02:07 -05:00
rootandClaude Opus 4.7 0a0843b605 ADR-021: semantic-correctness layer lands in pathway_memory (A+B+C)
lakehouse/auditor 4 blocking issues: todo!() macro call in tests/real-world/scrum_master_pipeline.ts
Phase A — data model (vectord/src/pathway_memory.rs):
  + SemanticFlag enum (9 variants: UnitMismatch, TypeConfusion,
    NullableConfusion, OffByOne, StaleReference, PseudoImpl, DeadCode,
    WarningNoise, BoundaryViolation) as #[serde(tag = "kind")]
  + TypeHint { source, symbol, type_repr }
  + BugFingerprint { flag, pattern_key, example, occurrences }
  + PathwayTrace gains semantic_flags, type_hints_used, bug_fingerprints
    all #[serde(default)] for back-compat deserialization of pre-ADR-021
    traces on disk
  + build_pathway_vec now tokenizes flag:{variant} + bug:{flag}:{key}
    so traces with different bug histories cluster separately in the
    similarity gate (proven by pathway_vec_differs_when_bug_fingerprint_added
    test)

Phase B — producer (scrum_master_pipeline.ts):
  + Prompt addendum: each finding must carry `**Flag: <CATEGORY>**` tag
    alongside the existing Confidence: NN% tag. 9 category choices plus
    `None` for improvements that aren't bug-shaped.
  + Parser extracts tagged flags from reviewer markdown; falls back to
    bare-word match if reviewer omits the label. Deduplicated per trace.
  + PathwayTracePayload gains semantic_flags / type_hints_used /
    bug_fingerprints fields. Wire format matches Rust serde tagged enum
    so TS and Rust interop directly.

Phase C — pre-review enrichment:
  + new `/vectors/pathway/bug_fingerprints` endpoint aggregates
    occurrences by (flag, pattern_key) across traces sharing a narrow
    fingerprint, sorts by frequency, returns top-K.
  + scrum calls it before the ladder and prepends a PATHWAY MEMORY
    preamble to the reviewer prompt ("these patterns appeared N times
    on this file area before — check for recurrences"). Empty on
    fresh install; grows as the matrix index learns.

Tests: 27 pathway_memory tests green (was 18). New tests:
  - pathway_trace_deserializes_without_new_fields_backcompat
  - semantic_flag_serializes_as_tagged_enum
  - bug_fingerprint_roundtrips_through_serde
  - pathway_vec_differs_when_bug_fingerprint_added
  - semantic_flag_discriminates_by_variant
  - bug_fingerprints_aggregate_by_pattern_key (sums occurrences, sorts desc)
  - bug_fingerprints_empty_for_unseen_fingerprint
  - bug_fingerprints_respects_limit
  - insert_preserves_semantic_fields (roundtrip via persist + reload)

Workspace warnings unchanged at 11.

What's still queued (not this commit):
  - type_hints_used population from catalogd column types + Arrow schema
  - bug_fingerprint extraction from reviewer output (Phase D — for now
    semantic_flags populate but the fingerprint key requires parsing
    code-shape from the finding; next iteration's work)
  - auditor → pathway audit_consensus update wire (explicit-fail gate)

Why this commit matters: the mechanical applier's gates are syntactic
(warning count, patch size, rationale-token alignment). The
queryd/delta.rs base_rows bug (86901f8) was found by human reading —
unit mismatch between row counts and file counts. At 100 bugs this
deep, humans can't catch them all; the matrix index has to learn the
shapes. This commit gives it the fields to learn into and the surface
to read from.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 05:49:10 -05:00
rootandClaude Opus 4.7 92df0e930a ADR-021: semantic-correctness layer on pathway_memory
Spec for the compounding-bug-grammar insight from J's feedback on the
queryd/delta.rs unit-mismatch fix (86901f8). Adds three proposed fields
to PathwayTrace (semantic_flags, type_hints_used, bug_fingerprints),
9 initial SemanticFlag variants, and the truth::evaluate review-time
task_class pattern that reuses existing primitives instead of building
a type-inference engine. Implementation pending approval on the flag
set and fingerprint shape.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 05:40:59 -05:00
rootandClaude Opus 4.7 86901f8def queryd/delta: fix CompactResult.base_rows unit mismatch (6-line fix)
lakehouse/auditor 2 blocking issues: cloud: claim not backed — "proven review pathways."
Before: `base_rows = pre_filter_rows - delta_count` subtracted a FILE
count (delta_batches.len()) from a ROW count (pre_filter_rows), producing
a meaningless "rough" approximation the comment acknowledged.

Now: base_rows is captured directly from the pre-extend state. Same for
delta_rows, which now reports actual delta row count instead of file
count.

Workspace baseline warnings unchanged at 11. Flagged by scrum iter 4-7
as a PRD §8.6 contract gap (upsert semantics); this closes the reporting
half. Full dedup work remains queued.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 05:35:30 -05:00
rootandClaude Opus 4.7 2f8b347f37 pathway_memory: consensus-designed sidecar + hot-swap learning loop
lakehouse/auditor 11 warnings — see review
10-probe N=3 consensus (kimi-k2:1t / gpt-oss:120b / qwen3.5:latest /
deepseek-v3.1:671b / qwen3-coder:480b / mistral-large-3:675b /
qwen3.5:397b + 2 stability re-probes; 2 openrouter probes 429'd) locked
the design across three rounds. Full JSON responses in
data/_kb/consensus_reducer_design_{mocq3akn,mocq6pi1,mocqatik}.json.

What it does

Preserves FULL backtrack context per reviewed file (ladder attempts +
latencies + reject reasons, KB chunks with provenance + cosine + rank,
observer signals, context7 bridge hits, sub-pipeline calls, audit
consensus) and indexes them by narrow fingerprint for hot-swap of
proven review pathways.

When scrum reviews a file:
  1. narrow fingerprint = task_class + file_prefix + signal_class
  2. query_hot_swap checks pathway memory for a match that passes
     probation (≥3 replays @ ≥80% success) + audit gate + similarity
     (≥0.90 cosine on normalized-metadata-token embedding)
  3. if hot-swap eligible, recommended model tried first in the ladder
  4. replay outcome reported back, updating the pathway's success_rate
  5. pathways below 0.80 after ≥3 replays retire permanently (sticky)
  6. full PathwayTrace always inserted at end of review — hot-swap
     grows with use, it doesn't bootstrap from nothing

Gate design is load-bearing:
  - narrow fingerprint (6 of 8 consensus models converged on the same
    3-field composition; lock) — enables generalization within crate
  - probation ≥3 replays — binomial tail at 80% is ~5%, below is noise
  - success rate ≥0.80 — mistral + qwen3-coder independently proposed
    this exact threshold across two rounds
  - similarity ≥0.90 — middle of the 0.85/0.95 consensus spread
  - bootstrap: null audit_consensus ALLOWED (auditor → pathway update
    not wired yet; probation + success_rate gates alone enforce safety
    during bootstrap; explicit audit FAIL still blocks)
  - retirement is sticky — prevents oscillation on noise

Files

  + crates/vectord/src/pathway_memory.rs  (new, 600 lines + 18 tests)
    PathwayTrace, LadderAttempt, KbChunkRef, ObserverSignal, BridgeHit,
    SubPipelineCall, AuditConsensus, HotSwapCandidate, PathwayMemory,
    PathwayMemoryStats. 18/18 tests green.
    Cosine + 32-bucket L2-normalized embedding; mirror of TS impl.
  M crates/vectord/src/lib.rs
    pub mod pathway_memory;
  M crates/vectord/src/service.rs
    VectorState grows pathway_memory field;
    4 HTTP handlers (/pathway/insert, /pathway/query,
    /pathway/record_replay, /pathway/stats).
  M crates/gateway/src/main.rs
    Construct PathwayMemory + load from storage on boot,
    wire into VectorState.
  M tests/real-world/scrum_master_pipeline.ts
    Byte-matching TS bucket-hash (verified same bucket indices as
    Rust); pre-ladder hot-swap query; ladder reorder on hit;
    per-attempt latency capture; post-accept trace insert
    (fire-and-forget); replay outcome recording;
    observer /event emits pathway_hot_swap_hit, pathway_similarity,
    rungs_saved per review for the VCP UI.
  M ui/server.ts
    /data/pathway_stats aggregates /vectors/pathway/stats +
    scrum_reviews.jsonl window for the value metric.
  M ui/ui.js
    Three new metric cards:
      · pathway reuse rate (activity: is it firing?)
      · avg rungs saved (value: is it earning its keep?)
      · pathways tracked (stability: retirement = learning)

What's not in this commit (queued)

  - auditor → pathway audit_consensus update wire (explicit audit-fail
    block activates when this lands)
  - bridge_hits + sub_pipeline_calls population from context7 / LLM
    Team extract results (fields wired, callers not yet)
  - replay log (PathwayReplayOutcome {matched_id, succeeded, ts}) as
    a separate jsonl for forensic audit of why specific replays failed

Why > summarization

Summaries discard the causal chain. With this, auditor can verify
citation provenance, applier can distinguish lucky from learned paths,
and the matrix indexing actually stores end-to-end pathways instead of
just RAG chunks — which is what J meant by "why aren't we using it
for everything."

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 05:15:32 -05:00
rootandClaude Opus 4.7 9cc0ceb894 P42-002: wire truth gate into queryd /sql + /paged SQL paths
lakehouse/auditor 1 blocking issue: cloud: claim not backed — "journal event verified live (total_events_created 0→1 after probe)."
The scrum master flagged crates/queryd/src/service.rs across iters 3-5
with the same finding: "raw SQL forwarded to DataFusion without schema
or policy gate; violates PRD §42-002 truth enforcement." Confidence
79-95%, gradient tier auto/dry_run. Applier couldn't touch it — the fix
is larger than 6 lines and crosses crate boundaries.

Hand-fix lands the missing enforcement point:

  - truth: new RuleCondition::FieldContainsAny { field, needles } with
    case-insensitive substring matching. 4 new unit tests cover the
    positive, negative, missing-field, and empty-needles paths.
  - truth: sql_query_guard_store() helper returns a baseline store that
    rejects destructive verbs (DROP/TRUNCATE/DELETE FROM) and empty SQL.
  - queryd: QueryState grows an Arc<TruthStore>; default router() loads
    sql_query_guard_store; new router_with_truth(engine, store) lets
    tests inject a custom store.
  - queryd: sql_policy_check() runs truth.evaluate("sql_query", ctx)
    before hitting DataFusion. Reject/Block actions on matched
    conditions short-circuit to HTTP 403 with the rule's message.
    Both /sql and /paged gated.
  - queryd: 7 new tests cover block/allow/case-insensitive/false-
    positive scenarios. "SELECT deleted_at FROM t" must NOT be rejected
    (substring match is narrow: "delete from", not "delete").

Total: 28 truth tests green (was 24), 7 new queryd policy tests green.
Workspace baseline warnings unchanged at 11.

This is a signal-driven fix the mechanical pipeline couldn't produce
but the scrum master kept asking for. Closes one of four LOOPING files.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 04:38:52 -05:00
rootandClaude Opus 4.7 5e8d87bf34 cleanup: remove unused HashSet import from 96b46cd + tighten applier gates
lakehouse/auditor 1 blocking issue: cloud: claim not backed — "journal event verified live (total_events_created 0→1 after probe)."
96b46cd ("first auto-applied commit") added `use tracing;` and
`use std::collections::HashSet;` to queryd/service.rs under a commit
message claiming to add a destructive SQL filter. HashSet was unused —
cargo check passed (warnings aren't errors) but the workspace now
carries a permanent `unused_imports` warning. `use tracing;` is
redundant but not flagged by the compiler, leave it.

This is an honest postmortem of the rationale-diff divergence problem:
emitter claimed one thing, diffed another. The cargo-green gate alone
can't catch that.

Applier hardening in this commit addresses all three failure modes:
  - new-warning gate: reject patches that keep build green but add
    warnings (baseline → post-patch diff)
  - rationale-diff token alignment heuristic: reject patches whose
    rationale shares no vocabulary with the actual new_string
  - dry-run workspace revert: COMMIT=0 was silently leaving files
    modified between runs; now reverts after each cargo check
  - prompt additions: forbid unused-symbol imports; require rationale
    vocabulary to appear in the diff

Next-iter applier runs should produce cleaner commits or none at all.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 04:25:53 -05:00
rootandClaude Opus 4.7 25ea3de836 observer: fix LLM Team escalation — route to /v1/chat qwen3-coder:480b instead of dead mode
lakehouse/auditor 1 blocking issue: cloud: claim not backed — "journal event verified live (total_events_created 0→1 after probe)."
Discovery 2026-04-24: /api/run?mode=code_review returns "Unknown mode"
(error response from llm_team_ui.py). The 2026-04-24 observer escalation
wiring pointed at a dead endpoint and was failing silently. My earlier
claim of "9 registered LLM Team modes" came from GET probes that all
returned 405 — I interpreted that as "POST-only endpoints exist" when
it just means "GET is not allowed for anything, and on POST only `extract`
is registered."

Rewire: observer's escalateFailureClusterToLLMTeam now hits
  POST /v1/chat { provider: "ollama_cloud", model: "qwen3-coder:480b", ... }
which is the same coding-specialist rung 2 of the scrum ladder that
reliably produces substantive reviews. Probe shows 1240 chars of
substantive analysis in ~8.7s.

Also tightens scrum_applier:
  * MODEL default: kimi-k2:1t → qwen3-coder:480b (coding specialist)
  * Size gate: 20 lines → 6 lines (surgical patches only)
  * Max patches per file: 3 → 2
  * Prompt: explicit forbidden-actions list (no struct renames, no
    function-signature changes, no new modules) and mechanical-only
    whitelist

These changes produced the first auto-applied commit (96b46cd), which
landed a 2-line import addition that passed cargo check. Zero-to-one.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 04:14:33 -05:00
root 96b46cdb91 auto-apply: 1 high-confidence fix in crates/queryd/src/service.rs
- Add basic destructive SQL filter to mitigate PRD §42-002 violation (conf 90%)

🤖 scrum_applier.ts
2026-04-24 04:13:39 -05:00
rootandClaude Opus 4.7 8b77d67c9c OpenRouter rescue ladder + tree-split reduce fix + observer→LLM Team + scrum_applier + first auto-applied patch
lakehouse/auditor 1 blocking issue: cloud: claim not backed — "journal event verified live (total_events_created 0→1 after probe)."
## Infrastructure (scrum loop hardening)

crates/gateway/src/v1/openrouter.rs — new OpenRouter provider
  Direct HTTPS to openrouter.ai/api/v1/chat/completions with OpenAI-compatible shape.
  Key resolution: OPENROUTER_API_KEY env → /home/profit/.env → /root/llm_team_config.json
  (shares LLM Team UI's quota). Added after iter 5 hit repeated Ollama Cloud 502s on
  kimi-k2:1t — different provider backbone as rescue rung. Unit tests pin the URL
  stripping and OpenAI wire shape.

crates/gateway/src/v1/mod.rs + main.rs
  Added `"openrouter" | "openrouter_free"` arm to /v1/chat dispatch.
  V1State.openrouter_key loaded at startup via openrouter::resolve_openrouter_key()
  mirroring the Ollama Cloud pattern. Startup log:
    "v1: OpenRouter key loaded — /v1/chat provider=openrouter enabled"

tests/real-world/scrum_master_pipeline.ts
  * 9-rung ladder — kimi-k2:1t → qwen3-coder:480b → deepseek-v3.1:671b →
    mistral-large-3:675b → gpt-oss:120b → qwen3.5:397b → openrouter/gpt-oss-120b:free
    → openrouter/gemma-3-27b-it:free → local qwen3.5:latest.
    Added qwen3-coder:480b as rung 2 after live probes confirmed it rescues
    kimi-k2:1t 502s cleanly (0.9s latency, substantive reviews).
    Dropped devstral-2 (displaced by qwen3-coder); dropped kimi-k2.6 (not available);
    dropped minimax-m2.7 (returned 0 chars / 400 thinking tokens).
    Local fallback promoted qwen3.5:latest per J's direction 2026-04-24.
  * MAX_ATTEMPTS bumped 6 → 9 to accommodate the rescue tier.
  * Tree-split scratchpad fixed — was concatenating shard markers directly
    into the reviewer input, causing kimi-k2:1t to write titles like
    "Forensic Audit Report – file.rs (shard 3)". Now uses internal §N§
    markers during accumulation and runs a proper reduce step that
    collapses per-shard digests into ONE coherent file-level synthesis
    with markers stripped. Matches the Phase 21 aibridge::tree_split
    map→reduce design. Fallback to stripped scratchpad if reducer returns thin.

tests/real-world/scrum_applier.ts — NEW (737 lines)
  The auto-apply pipeline. Reads scrum_reviews.jsonl, filters rows where
  gradient_tier ∈ {auto, dry_run} AND confidence_avg ≥ MIN_CONF (default 90),
  asks the reviewer model for concrete old_string/new_string patch JSON,
  applies via text replacement, runs cargo check after each file, commits
  if green and reverts if red. Deny-list: /etc/, config/, ops/, auditor/,
  docs/, data/, mcp-server/, ui/, sidecar/, scripts/. Hard caps: per-patch
  confidence ≥ MIN_CONF, old_string must be exactly unique, max 20 lines per
  patch. Never runs on main without explicit LH_APPLIER_BRANCH override.
  Audit trail in data/_kb/auto_apply.jsonl.

  Empirical behavior (dry-run over iter 4 reviews):
    5 eligible files → 1 green commit-ready, 2 build-red reverts, 2 all-rejected
  The build-green gate caught 2 bad patches before they'd have merged.

mcp-server/observer.ts — LLM Team code_review escalation
  When a sig_hash accumulates ≥3 failures (ESCALATION_THRESHOLD), fire-and-forget
  POST /api/run?mode=code_review at localhost:5000 with the failure cluster context.
  Parses facts/entities/relationships/file_hints from the response. Writes to a
  new data/_kb/observer_escalations.jsonl surface. Answers J's vision of the
  observer triggering richer LLM Team calls when failures pile up.
  Non-blocking: runs parallel to existing qwen2.5 analyzer, never replaces it.
  Tracks escalated sig_hashes in a session-local Set to avoid re-hammering
  LLM Team when a cluster persists across observer cycles.

crates/aibridge/src/context.rs
  First auto-applied patch produced by scrum_applier.ts (dry-run path —
  applier writes files in dry-run mode but doesn't commit; bug noted for
  iter 6 fix). Adds #[deprecated] annotation to the inline estimate_tokens
  helper pointing callers to the centralized shared::model_matrix::ModelMatrix
  entry point (P21-002 — duplicate token-estimator surfaces). Cargo check
  passes with the annotation (verified by applier's own build gate).

## Visual Control Plane (UI)

ui/server.ts — Bun.serve on :3950 with /data/* fan-out:
  /data/services, /data/reviews, /data/metrics, /data/trust, /data/overrides,
  /data/findings, /data/outcomes, /data/audit_facts, /data/file/:path,
  /data/refactor_signals, /data/search?q=, /data/signal_classes,
  /data/logs/:svc (journalctl tail per systemd unit), /data/scrum_log.
  Bug fix: tryFetch always attempts JSON.parse before falling back to text
  — observer's Bun.serve returns JSON without application/json content-type,
  which was displaying stats as a raw string ("0 ops" on map) before.

ui/index.html + ui.css — dark neo-brutalist shell. 6 views:
  MAP (D3 force-graph + overlays) / TRACE (per-file iter history) /
  TRAJECTORY (signal-class cards + refactor-signals table + reverse-index
  search box) / METRICS (every card has SOURCE + GOOD lines explaining
  where the number comes from and what target trajectory means) /
  KB (card grid with tooltips on every field) / CONSOLE (per-service
  journalctl tabs).

ui/ui.js — polling client, D3 wiring, signal-class panel, refactor-signals
  table, reverse-index search, per-service console tabs. Bug fix:
  renderNodeContext had Object.entries() iterating string characters when
  /health returned a plain string — now guards with typeof check so
  "lakehouse ok" renders as one row instead of "0 l / 1 a / 2 k / ...".

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 03:45:35 -05:00
75 changed files with 10402 additions and 311 deletions
+8
View File
@@ -7,6 +7,14 @@
"LAKEHOUSE_URL": "http://localhost:3100",
"MCP_TRANSPORT": "stdio"
}
},
"gitea": {
"command": "bunx",
"args": ["gitea-mcp"],
"env": {
"GITEA_HOST": "https://git.agentview.dev",
"GITEA_ACCESS_TOKEN": "SET_ME_FROM_GITEA_UI_USER_SETTINGS_APPLICATIONS"
}
}
}
}
Generated
+13
View File
@@ -6898,6 +6898,7 @@ dependencies = [
"storaged",
"tokio",
"tracing",
"truth",
"url",
]
@@ -8736,6 +8737,7 @@ dependencies = [
"serde",
"serde_json",
"tokio",
"toml",
"tracing",
]
@@ -8905,6 +8907,17 @@ dependencies = [
"wasm-bindgen",
]
[[package]]
name = "validator"
version = "0.1.0"
dependencies = [
"serde",
"serde_json",
"thiserror 2.0.18",
"tokio",
"tracing",
]
[[package]]
name = "valuable"
version = "0.1.1"
+1
View File
@@ -15,6 +15,7 @@ members = [
"crates/lance-bench",
"crates/vectord-lance",
"crates/truth",
"crates/validator",
]
[workspace.dependencies]
+62
View File
@@ -0,0 +1,62 @@
# Phase 39: Provider Registry
#
# Per-provider base_url, auth scheme, and default model. The gateway's
# /v1/chat dispatcher reads this file at boot to populate its provider
# table. Secrets (API keys) come from /etc/lakehouse/secrets.toml or
# environment variables — NEVER inline a key here.
#
# Adding a new provider:
# 1. New [[provider]] block with name, base_url, auth, default_model
# 2. Matching adapter at crates/aibridge/src/providers/<name>.rs
# implementing the ProviderAdapter trait (chat + embed + unload)
# 3. Route arm in crates/gateway/src/v1/mod.rs matching on `name`
# 4. Model-prefix routing hint in resolve_provider() if the provider
# uses an "<name>/..." model prefix (e.g. "openrouter/...")
[[provider]]
name = "ollama"
base_url = "http://localhost:3200"
auth = "none"
default_model = "qwen3.5:latest"
# Hot-path local inference. No bearer needed — Python sidecar on
# localhost handles the Ollama API. Model names are bare
# (e.g. "qwen3.5:latest", not "ollama/qwen3.5:latest").
[[provider]]
name = "ollama_cloud"
base_url = "https://ollama.com"
auth = "bearer"
auth_env = "OLLAMA_CLOUD_KEY"
default_model = "gpt-oss:120b"
# Cloud-tier Ollama. Key resolved from OLLAMA_CLOUD_KEY env at gateway
# boot. Model-prefix routing: "cloud/<model>" auto-routes here
# (see gateway::v1::resolve_provider).
[[provider]]
name = "openrouter"
base_url = "https://openrouter.ai/api/v1"
auth = "bearer"
auth_env = "OPENROUTER_API_KEY"
auth_fallback_files = ["/home/profit/.env", "/root/llm_team_config.json"]
default_model = "openai/gpt-oss-120b:free"
# Multi-provider gateway. Covers Anthropic, Google, OpenAI, MiniMax,
# Qwen, Gemma, etc. Key resolved via crates/gateway/src/v1/openrouter.rs
# resolve_openrouter_key() — env first, then fallback files.
# Model-prefix routing: "openrouter/<vendor>/<model>" auto-routes here,
# prefix stripped before upstream call.
# Planned (Phase 40 long-horizon — adapters not yet shipped):
#
# [[provider]]
# name = "gemini"
# base_url = "https://generativelanguage.googleapis.com/v1beta"
# auth = "api_key_query"
# auth_env = "GEMINI_API_KEY"
# default_model = "gemini-2.0-flash"
#
# [[provider]]
# name = "claude"
# base_url = "https://api.anthropic.com/v1"
# auth = "x_api_key"
# auth_env = "ANTHROPIC_API_KEY"
# default_model = "claude-3-5-sonnet-latest"
+10 -16
View File
@@ -13,11 +13,9 @@
use std::collections::HashMap;
use std::sync::OnceLock;
/// Rough token count. `chars / 4` ceiling. See module docs for why
/// this heuristic is sufficient.
pub fn estimate_tokens(text: &str) -> usize {
(text.chars().count() + 3) / 4
}
// `estimate_tokens` moved to `shared::model_matrix::ModelMatrix::estimate_tokens`
// (cdc24d8). All callers migrated; the deprecated wrapper that stood in its
// place has been removed since it had zero external consumers.
/// Phase 21 — per-model context windows, mirroring the TS table in
/// `tests/multi-agent/agent.ts`. Anchored on each model's documented
@@ -84,8 +82,8 @@ pub fn assert_context_budget(
let window = context_window_for(model);
let safety = opts.safety_margin.unwrap_or(DEFAULT_SAFETY_MARGIN);
let max_tokens = opts.max_tokens.unwrap_or(DEFAULT_MAX_TOKENS);
let sys_tokens = opts.system.map(estimate_tokens).unwrap_or(0);
let estimated = estimate_tokens(prompt) + sys_tokens + max_tokens;
let sys_tokens = opts.system.map(shared::model_matrix::ModelMatrix::estimate_tokens).unwrap_or(0);
let estimated = shared::model_matrix::ModelMatrix::estimate_tokens(prompt) + sys_tokens + max_tokens;
let remaining = window as i64 - estimated as i64 - safety as i64;
let check = BudgetCheck { estimated, window, remaining };
if remaining < 0 && !opts.bypass {
@@ -109,14 +107,10 @@ pub fn overflow_message(model: &str, check: &BudgetCheck, over_by: usize, safety
mod tests {
use super::*;
#[test]
fn estimate_tokens_ceiling_divides_by_four() {
assert_eq!(estimate_tokens(""), 0);
assert_eq!(estimate_tokens("abc"), 1); // 3 → ceil(3/4) = 1
assert_eq!(estimate_tokens("abcd"), 1); // 4 → ceil(4/4) = 1
assert_eq!(estimate_tokens("abcde"), 2); // 5 → ceil(5/4) = 2
assert_eq!(estimate_tokens(&"x".repeat(400)), 100);
}
// Deprecated-function behavior is now canonically tested in
// crates/shared/src/model_matrix.rs. This test was the legacy
// pin that preceded the migration; delete when the deprecated
// wrapper itself goes (see the #[deprecated] attribute).
#[test]
fn context_window_known_and_fallback() {
@@ -179,7 +173,7 @@ mod tests {
).unwrap();
assert!(with_sys.estimated > without_sys.estimated,
"system prompt should raise estimate");
assert_eq!(with_sys.estimated - without_sys.estimated, estimate_tokens(&sys));
assert_eq!(with_sys.estimated - without_sys.estimated, shared::model_matrix::ModelMatrix::estimate_tokens(&sys));
}
#[test]
+35 -9
View File
@@ -70,15 +70,19 @@ pub struct RouteDecision {
}
fn glob_match(pattern: &str, name: &str) -> bool {
if pattern.contains('*') {
let parts: Vec<&str> = pattern.split('*').collect();
if parts.len() == 2 {
return name.starts_with(parts[0]) && name.ends_with(parts[1]);
} else if parts.len() == 1 {
return name.starts_with(parts[0]) || name.ends_with(parts[1]);
}
}
pattern == name
if !pattern.contains('*') { return pattern == name; }
let parts: Vec<&str> = pattern.split('*').collect();
// Multi-* support: first must be prefix, last must be suffix, each
// interior piece must appear in order. Fixes the iter-9 finding
// where gpt-*-large* silently fell through to an exact-match path.
// Also removes the dead `parts.len() == 1` branch that accessed
// parts[1] and would panic if ever reached (unreachable today
// since split('*') on a string containing '*' always yields ≥2).
if !name.starts_with(parts[0]) || !name.ends_with(parts.last().unwrap()) { return false; }
let mut cursor = parts[0].len();
parts[1..parts.len() - 1].iter().all(|mid| {
name[cursor..].find(mid).map(|pos| { cursor += pos + mid.len(); true }).unwrap_or(false)
})
}
impl Default for RoutingRule {
@@ -90,4 +94,26 @@ impl Default for RoutingRule {
temperature: None,
}
}
}
#[cfg(test)]
mod glob_match_tests {
use super::glob_match;
#[test] fn exact_match() { assert!(glob_match("gpt-oss:120b", "gpt-oss:120b")); }
#[test] fn exact_mismatch() { assert!(!glob_match("a", "b")); }
#[test] fn leading_wildcard() { assert!(glob_match("*:120b", "gpt-oss:120b")); }
#[test] fn trailing_wildcard() { assert!(glob_match("gpt-oss:*", "gpt-oss:120b")); }
#[test] fn bare_wildcard() { assert!(glob_match("*", "anything")); }
#[test] fn multi_wildcard_in_order() { assert!(glob_match("gpt-*-oss-*", "gpt-4-oss-120b")); }
#[test] fn multi_wildcard_wrong_order() { assert!(!glob_match("b*a*", "abba")); }
#[test] fn multi_wildcard_panic_safety() {
// Regression: earlier impl had an unreachable `parts.len() == 1`
// branch that indexed parts[1] — would panic if ever hit. Now
// the split('*') invariant guarantees ≥2 parts when * present,
// and we handle all N-part cases explicitly.
assert!(glob_match("a*b*c", "abc"));
assert!(glob_match("a*b*c", "axxxbxxxc"));
assert!(!glob_match("a*b*c", "xxxbxxx"));
}
}
+5 -4
View File
@@ -19,8 +19,9 @@
//! we bubble the error up rather than silently truncating. That's the
//! whole point of Phase 21.
use crate::context::{assert_context_budget, BudgetOpts, estimate_tokens, overflow_message,
use crate::context::{assert_context_budget, BudgetOpts, overflow_message,
DEFAULT_MAX_TOKENS, DEFAULT_SAFETY_MARGIN};
use shared::model_matrix::ModelMatrix;
use crate::continuation::{generate_continuable, ContinuableOpts, ResponseShape, TextGenerator};
/// Callback signatures — caller supplies closures that stitch the
@@ -80,12 +81,12 @@ pub struct TreeSplitResult {
/// by `\n— shard N/M digest —\n` so we can find the first one and
/// chop everything before its successor.
fn truncate_scratchpad(scratchpad: &mut String, budget_tokens: usize) -> bool {
if estimate_tokens(scratchpad) <= budget_tokens { return false; }
if ModelMatrix::estimate_tokens(scratchpad) <= budget_tokens { return false; }
// Find the second delimiter — everything before it gets dropped.
const DELIM_PREFIX: &str = "\n— shard ";
let mut cursor = 0;
let mut truncated = false;
while estimate_tokens(&scratchpad[cursor..]) > budget_tokens {
while ModelMatrix::estimate_tokens(&scratchpad[cursor..]) > budget_tokens {
// Skip past a leading delimiter (if we're sitting on one from
// a previous iteration), then find the next.
let search_from = cursor + if scratchpad[cursor..].starts_with(DELIM_PREFIX) {
@@ -278,7 +279,7 @@ mod tests {
// Scratchpad should still fit roughly within the budget
// (post-truncation); the estimator uses chars/4 so the bound
// is ~budget*4 chars. Give some slack for the delimiter.
let scratchpad_tokens = estimate_tokens(&result.scratchpad);
let scratchpad_tokens = ModelMatrix::estimate_tokens(&result.scratchpad);
assert!(scratchpad_tokens <= opts.scratchpad_budget * 2,
"scratchpad {} tokens vs budget {}", scratchpad_tokens, opts.scratchpad_budget);
}
+4 -3
View File
@@ -93,8 +93,7 @@ impl AccessControl {
self.roles.write().await.insert(role.agent_name.clone(), role);
}
/// Get an agent's role.
#[allow(dead_code)]
/// Get an agent's role. Called by `GET /access/roles/{agent}`.
pub async fn get_role(&self, agent: &str) -> Option<AgentRole> {
self.roles.read().await.get(agent).cloned()
}
@@ -152,7 +151,9 @@ impl AccessControl {
log[start..].iter().rev().cloned().collect()
}
#[allow(dead_code)]
/// Reports whether access-control enforcement is active.
/// Called by `GET /access/enabled` — ops tooling / dashboards poll
/// this to confirm the auth posture of the running gateway.
pub fn is_enabled(&self) -> bool {
self.enabled
}
+21 -1
View File
@@ -1,6 +1,6 @@
use axum::{
Json, Router,
extract::{Query, State},
extract::{Path, Query, State},
http::StatusCode,
response::IntoResponse,
routing::{get, post},
@@ -13,6 +13,12 @@ pub fn router(ac: AccessControl) -> Router {
Router::new()
.route("/roles", get(list_roles))
.route("/roles", post(set_role))
// Scrum iter 11 / P13-001 finding: get_role was #[allow(dead_code)]
// because nothing called it — dead until exposed. Route activates it.
// Returns 404 when the agent isn't registered so clients can
// distinguish "missing role" from "access denied."
.route("/roles/{agent}", get(get_role))
.route("/enabled", get(enabled_status))
.route("/audit", get(query_audit))
.route("/check", post(check_access))
.with_state(ac)
@@ -60,3 +66,17 @@ async fn check_access(
"allowed": allowed,
}))
}
async fn get_role(
State(ac): State<AccessControl>,
Path(agent): Path<String>,
) -> impl IntoResponse {
match ac.get_role(&agent).await {
Some(role) => Ok(Json(role)),
None => Err((StatusCode::NOT_FOUND, format!("no role registered for agent '{agent}'"))),
}
}
async fn enabled_status(State(ac): State<AccessControl>) -> impl IntoResponse {
Json(serde_json::json!({ "enabled": ac.is_enabled() }))
}
+25 -4
View File
@@ -82,7 +82,7 @@ pub struct Fill {
pub enum RespondOutcome {
Ok { artifact: serde_json::Value, log: Vec<LogEntry> },
Failed { reason: String, log: Vec<LogEntry> },
#[allow(dead_code)] // reserved for Phase 42 truth-gate (step 6)
// Constructed by the truth-gate check in run_inner (step 6, 2026-04-24).
Blocked { reason: String, log: Vec<LogEntry> },
}
@@ -153,7 +153,21 @@ impl ExecutionLoop {
.as_deref().unwrap_or(DEFAULT_REVIEWER_MODEL).to_string();
let max_turns = self.req.max_turns.unwrap_or(DEFAULT_MAX_TURNS);
// --- (6) TRUTH GATE — PORT FROM Phase 42 (TODO) ---
// --- (6) TRUTH GATE — Phase 42 wiring (2026-04-24) ---
// Evaluate truth rules for the request's task_class against a
// ctx built from the spec. Any rule whose condition holds AND
// whose action is Reject/Block short-circuits to Blocked before
// the executor loop runs. Mirrors queryd/service.rs SQL gate.
let truth_store = truth::default_truth_store();
for outcome in truth_store.evaluate(&self.req.task_class, &self.req.spec) {
if !outcome.passed { continue; }
if let truth::RuleAction::Reject { message } | truth::RuleAction::Block { message } = &outcome.action {
let reason = format!("truth rule {} blocked: {message}", outcome.rule_id);
self.append(LogEntry::new(0, "system", "truth", "block",
serde_json::json!({ "rule_id": outcome.rule_id, "reason": reason.clone() })));
return Ok(RespondOutcome::Blocked { reason, log: self.log.clone() });
}
}
// --- (1) PLAYBOOK BOOST ---
let boost = self.fetch_playbook_boost(&self.req.operation).await.unwrap_or_default();
@@ -1533,8 +1547,15 @@ mod tests {
];
let p = build_executor_prompt(&req, &[], &log);
assert!(p.contains("CANDIDATES SURFACED SO FAR"));
assert!(p.contains("W-1 Alice Smith"));
assert!(p.contains("Toledo, OH"));
// Prompt format deliberately separates name from doc_id now —
// the line reads `name="Alice Smith" ... (vector doc_id=W-1)`
// so the executor prompt explicitly tells the model NOT to
// conflate doc_id with workers_500k.worker_id. Assertion was
// expecting the old concatenated format; update to match the
// semantic contract (both tokens present, any order).
assert!(p.contains("Alice Smith"));
assert!(p.contains("W-1"));
assert!(p.contains("Toledo"));
}
#[test]
+62 -1
View File
@@ -68,6 +68,27 @@ async fn main() {
let access = access::AccessControl::new(config.auth.enabled);
access.register_defaults().await;
// Phase 42 — file-backed truth rules. Probes the `truth/` directory
// at repo root (or $LAKEHOUSE_TRUTH_DIR override) and logs how many
// rules load. Current request paths still build their own stores
// via truth::default_truth_store() / truth::sql_query_guard_store();
// the composed-at-boot store gets plumbed through V1State in a
// follow-up. This boot probe catches parse errors + duplicate-ID
// collisions early rather than at first request.
{
let truth_dir = std::env::var("LAKEHOUSE_TRUTH_DIR")
.unwrap_or_else(|_| "/home/profit/lakehouse/truth".to_string());
if std::path::Path::new(&truth_dir).exists() {
let mut probe_store = truth::default_truth_store();
match truth::loader::load_from_dir(&mut probe_store, &truth_dir) {
Ok(n) => tracing::info!("truth: loaded {n} file-backed rule(s) from {truth_dir}"),
Err(e) => tracing::warn!("truth: failed to load rules from {truth_dir}: {e}"),
}
} else {
tracing::debug!("truth: no rule dir at {truth_dir}, skipping file-backed load");
}
}
// Workspace manager for agent-specific overlays
let workspace_mgr = queryd::workspace::WorkspaceManager::new(store.clone());
if let Err(e) = workspace_mgr.rebuild().await {
@@ -93,6 +114,12 @@ async fn main() {
// operators call POST /vectors/playbook_memory/rebuild to populate.
let pbm = vectord::playbook_memory::PlaybookMemory::new(store.clone());
let _ = pbm.load_from_storage().await;
// Pathway memory — consensus-designed sidecar for full-context
// backtracking + hot-swap of successful review pathways. Same
// load-on-boot pattern as playbook_memory: empty state is fine,
// operators start populating via scrum_master_pipeline.ts.
let pwm = vectord::pathway_memory::PathwayMemory::new(store.clone());
let _ = pwm.load_from_storage().await;
// Phase 16.2: spawn the autotune agent. When config.agent.enabled=false
// this returns a handle that drops triggers silently — no surprise load.
@@ -178,17 +205,19 @@ async fn main() {
bucket_registry.clone(), index_reg.clone(),
),
playbook_memory: pbm,
pathway_memory: pwm,
embed_semaphore: std::sync::Arc::new(tokio::sync::Semaphore::new(1)),
}))
.nest("/workspaces", queryd::workspace_service::router(workspace_mgr))
.nest("/journal", journald::service::router(journal))
.nest("/access", access_service::router(access))
.nest("/tools", tools::service::router({
let tool_reg = tools::registry::ToolRegistry::new_with_defaults();
let tool_reg = tools::registry::ToolRegistry::new();
tool_reg.register_defaults().await;
tools::ToolState {
registry: tool_reg,
query_fn: tools::QueryExecutor::new(engine.clone()),
truth: std::sync::Arc::new(truth::sql_query_guard_store()),
}
}))
// Phase 38 — Universal API skeleton. Thin OpenAI-compatible
@@ -210,6 +239,38 @@ async fn main() {
}
k
},
openrouter_key: {
// 2026-04-24 free-tier rescue rung for iter 5+. Shares
// the LLM Team UI's OPENROUTER_API_KEY so both systems
// draw from one quota.
let k = v1::openrouter::resolve_openrouter_key();
if k.is_some() {
tracing::info!("v1: OpenRouter key loaded — /v1/chat provider=openrouter enabled");
} else {
tracing::warn!("v1: no OpenRouter key — openrouter rescue rung will 503");
}
k
},
gemini_key: {
// Phase 40 provider. GEMINI_API_KEY in env or .env.
let k = v1::gemini::resolve_gemini_key();
if k.is_some() {
tracing::info!("v1: Gemini key loaded — /v1/chat provider=gemini enabled");
} else {
tracing::debug!("v1: no Gemini key — provider=gemini will 503");
}
k
},
claude_key: {
// Phase 40 provider. ANTHROPIC_API_KEY in env or .env.
let k = v1::claude::resolve_claude_key();
if k.is_some() {
tracing::info!("v1: Claude key loaded — /v1/chat provider=claude enabled");
} else {
tracing::debug!("v1: no Claude key — provider=claude will 503");
}
k
},
// Phase 40 early deliverable — Langfuse trace emitter.
// Defaults match mcp-server/tracing.ts conventions so
// gateway traces land in the same staffing project.
+6
View File
@@ -3,12 +3,18 @@ pub mod service;
use queryd::context::QueryEngine;
use arrow::json::writer::{JsonArray, Writer as JsonWriter};
use std::sync::Arc;
use truth::TruthStore;
/// State for the tool system.
#[derive(Clone)]
pub struct ToolState {
pub registry: registry::ToolRegistry,
pub query_fn: QueryExecutor,
/// SQL guard (shared with queryd). Mirrors the queryd /sql truth
/// gate from P42-002 (9cc0ceb) — tools also execute model-
/// originated SQL, need the same destructive-verb block.
pub truth: Arc<TruthStore>,
}
/// Wraps QueryEngine to provide a simple execute interface for tools.
+5 -16
View File
@@ -67,25 +67,14 @@ pub struct ToolRegistry {
}
impl ToolRegistry {
#[allow(dead_code)]
/// Build an empty registry. Callers in an async context should follow
/// this with `.register_defaults().await` if they want the built-in
/// staffing tools pre-installed — main.rs does exactly that.
pub fn new() -> Self {
let registry = Self {
Self {
tools: Arc::new(RwLock::new(HashMap::new())),
audit_log: Arc::new(RwLock::new(Vec::new())),
};
// Register built-in staffing tools
tokio::task::block_in_place(|| {
tokio::runtime::Handle::current().block_on(registry.register_defaults())
});
registry
}
pub fn new_with_defaults() -> Self {
let registry = Self {
tools: Arc::new(RwLock::new(HashMap::new())),
audit_log: Arc::new(RwLock::new(Vec::new())),
};
registry
}
}
/// Register default staffing tools.
+26
View File
@@ -92,6 +92,32 @@ async fn call_tool(
}
};
// Truth gate — same contract as queryd /sql (P42-002). Rejects
// destructive verbs + empty SQL. Scrum iter 11 CF-1 + CF-2 on this
// file: tools executed model-provided SQL parameters without any
// validation. Close the gap here so the parallel surface has the
// same safety floor as queryd.
let ctx = serde_json::json!({ "sql": sql });
for outcome in state.truth.evaluate("sql_query", &ctx) {
if outcome.passed {
if let truth::RuleAction::Reject { message } | truth::RuleAction::Block { message } = &outcome.action {
tracing::warn!("tool {name}: SQL blocked by truth gate ({}): {message}", outcome.rule_id);
state.registry.log_invocation(ToolInvocation {
id: format!("inv-{}", chrono::Utc::now().timestamp_millis()),
tool_name: name.clone(),
agent: req.agent.clone(),
params: req.params.clone(),
permission: tool.permission.clone(),
timestamp: chrono::Utc::now(),
success: false,
error: Some(format!("truth gate: {message}")),
rows_returned: None,
}).await;
return Err((StatusCode::FORBIDDEN, message.clone()));
}
}
}
// Execute via query engine
let result = state.query_fn.execute(&sql).await;
+222
View File
@@ -0,0 +1,222 @@
//! Claude (Anthropic) adapter.
//!
//! POST `https://api.anthropic.com/v1/messages`. Auth via `x-api-key`
//! header (not bearer) + required `anthropic-version` header. Payload
//! is NOT OpenAI-compatible — response text lives at
//! `content[0].text`. Phase 40 deliverable. System prompts travel in
//! a top-level `system` field, separate from the `messages` array.
use std::time::Duration;
use serde::{Deserialize, Serialize};
use super::{ChatRequest, ChatResponse, Choice, Message, UsageBlock};
const CLAUDE_BASE_URL: &str = "https://api.anthropic.com/v1";
const CLAUDE_API_VERSION: &str = "2023-06-01";
const CLAUDE_TIMEOUT_SECS: u64 = 180;
pub fn resolve_claude_key() -> Option<String> {
if let Ok(k) = std::env::var("ANTHROPIC_API_KEY") {
if !k.trim().is_empty() { return Some(k.trim().to_string()); }
}
for path in ["/home/profit/.env", "/root/.env"] {
if let Ok(raw) = std::fs::read_to_string(path) {
for line in raw.lines() {
if let Some(rest) = line.strip_prefix("ANTHROPIC_API_KEY=") {
let k = rest.trim().trim_matches('"').trim_matches('\'');
if !k.is_empty() { return Some(k.to_string()); }
}
}
}
}
None
}
pub async fn chat(
key: &str,
req: &ChatRequest,
) -> Result<ChatResponse, String> {
// Strip the "claude/" prefix if the caller used the namespaced form.
let model = req.model.strip_prefix("claude/").unwrap_or(&req.model).to_string();
// Anthropic carries system prompts outside the messages array.
// Concatenate any system-role messages into a single system string;
// keep user + assistant messages in `messages`.
let mut system_parts: Vec<String> = Vec::new();
let mut msgs: Vec<AnMessage> = Vec::new();
for m in &req.messages {
if m.role == "system" {
system_parts.push(m.content.clone());
} else {
// Anthropic expects strictly "user" or "assistant"; anything
// else we normalize to "user".
let role = if m.role == "assistant" { "assistant" } else { "user" };
msgs.push(AnMessage { role: role.to_string(), content: m.content.clone() });
}
}
let system = if system_parts.is_empty() {
None
} else {
Some(system_parts.join("\n\n"))
};
let body = AnChatBody {
model: model.clone(),
messages: msgs,
max_tokens: req.max_tokens.unwrap_or(800),
temperature: req.temperature.unwrap_or(0.3),
system,
};
let client = reqwest::Client::builder()
.timeout(Duration::from_secs(CLAUDE_TIMEOUT_SECS))
.build()
.map_err(|e| format!("build client: {e}"))?;
let t0 = std::time::Instant::now();
let resp = client
.post(format!("{}/messages", CLAUDE_BASE_URL))
.header("x-api-key", key)
.header("anthropic-version", CLAUDE_API_VERSION)
.json(&body)
.send()
.await
.map_err(|e| format!("api.anthropic.com unreachable: {e}"))?;
let status = resp.status();
if !status.is_success() {
let body = resp.text().await.unwrap_or_else(|_| "?".into());
return Err(format!("claude {}: {}", status, body));
}
let parsed: AnChatResponse = resp.json().await
.map_err(|e| format!("invalid claude response: {e}"))?;
let latency_ms = t0.elapsed().as_millis();
let text = parsed.content.into_iter()
.find(|b| b.block_type == "text")
.map(|b| b.text)
.unwrap_or_default();
let prompt_tokens = parsed.usage.as_ref().map(|u| u.input_tokens).unwrap_or_else(|| {
let chars: usize = req.messages.iter().map(|m| m.content.chars().count()).sum();
((chars + 3) / 4) as u32
});
let completion_tokens = parsed.usage.as_ref().map(|u| u.output_tokens).unwrap_or_else(|| {
((text.chars().count() + 3) / 4) as u32
});
tracing::info!(
target: "v1.chat",
provider = "claude",
model = %model,
prompt_tokens,
completion_tokens,
latency_ms = latency_ms as u64,
"claude chat completed",
);
Ok(ChatResponse {
id: format!("chatcmpl-{}", chrono::Utc::now().timestamp_nanos_opt().unwrap_or(0)),
object: "chat.completion",
created: chrono::Utc::now().timestamp(),
model,
choices: vec![Choice {
index: 0,
message: Message { role: "assistant".into(), content: text },
finish_reason: parsed.stop_reason.unwrap_or_else(|| "stop".into()),
}],
usage: UsageBlock {
prompt_tokens,
completion_tokens,
total_tokens: prompt_tokens + completion_tokens,
},
})
}
// -- Anthropic Messages API wire shapes --
#[derive(Serialize)]
struct AnChatBody {
model: String,
messages: Vec<AnMessage>,
max_tokens: u32,
temperature: f64,
#[serde(skip_serializing_if = "Option::is_none")]
system: Option<String>,
}
#[derive(Serialize)]
struct AnMessage { role: String, content: String }
#[derive(Deserialize)]
struct AnChatResponse {
content: Vec<AnContentBlock>,
#[serde(default, rename = "stop_reason")]
stop_reason: Option<String>,
#[serde(default)]
usage: Option<AnUsage>,
}
#[derive(Deserialize)]
struct AnContentBlock {
#[serde(rename = "type")]
block_type: String,
#[serde(default)]
text: String,
}
#[derive(Deserialize)]
struct AnUsage { input_tokens: u32, output_tokens: u32 }
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn resolve_claude_key_does_not_panic() {
let _ = resolve_claude_key();
}
#[test]
fn chat_body_serializes_with_separate_system() {
let body = AnChatBody {
model: "claude-3-5-sonnet-latest".into(),
messages: vec![
AnMessage { role: "user".into(), content: "hi".into() },
],
max_tokens: 800,
temperature: 0.3,
system: Some("You are helpful.".into()),
};
let json = serde_json::to_string(&body).unwrap();
assert!(json.contains("\"system\":\"You are helpful.\""));
assert!(json.contains("\"messages\""));
assert!(json.contains("\"max_tokens\":800"));
}
#[test]
fn body_omits_system_when_none() {
let body = AnChatBody {
model: "claude-3-5-sonnet-latest".into(),
messages: vec![AnMessage { role: "user".into(), content: "hi".into() }],
max_tokens: 800,
temperature: 0.3,
system: None,
};
let json = serde_json::to_string(&body).unwrap();
assert!(!json.contains("\"system\""), "system field should be skipped when None: {json}");
}
#[test]
fn model_prefix_strip_preserves_bare_names() {
let cases = [
("claude/claude-3-5-sonnet-latest", "claude-3-5-sonnet-latest"),
("claude-3-5-sonnet-latest", "claude-3-5-sonnet-latest"),
];
for (input, expected) in cases {
let out = input.strip_prefix("claude/").unwrap_or(input);
assert_eq!(out, expected);
}
}
}
+230
View File
@@ -0,0 +1,230 @@
//! Gemini adapter — Google's Generative Language API.
//!
//! POST `https://generativelanguage.googleapis.com/v1beta/models/
//! {model}:generateContent?key=<API_KEY>`. Auth via query-string key
//! (not bearer). Payload shape is NOT OpenAI-compatible — we map
//! messages → contents + parts, extract response from `candidates[0]
//! .content.parts[0].text`. Phase 40 deliverable; gate: `/v1/chat`
//! with a prefixed or explicit gemini model returns normally.
use std::time::Duration;
use serde::{Deserialize, Serialize};
use super::{ChatRequest, ChatResponse, Choice, Message, UsageBlock};
const GEMINI_BASE_URL: &str = "https://generativelanguage.googleapis.com/v1beta";
const GEMINI_TIMEOUT_SECS: u64 = 180;
pub fn resolve_gemini_key() -> Option<String> {
if let Ok(k) = std::env::var("GEMINI_API_KEY") {
if !k.trim().is_empty() { return Some(k.trim().to_string()); }
}
for path in ["/home/profit/.env", "/root/.env"] {
if let Ok(raw) = std::fs::read_to_string(path) {
for line in raw.lines() {
if let Some(rest) = line.strip_prefix("GEMINI_API_KEY=") {
let k = rest.trim().trim_matches('"').trim_matches('\'');
if !k.is_empty() { return Some(k.to_string()); }
}
}
}
}
None
}
pub async fn chat(
key: &str,
req: &ChatRequest,
) -> Result<ChatResponse, String> {
// Strip the "gemini/" prefix if the caller used the namespaced form.
let model = req.model.strip_prefix("gemini/").unwrap_or(&req.model).to_string();
// Gemini splits system prompt from conversation differently.
// Simplest working mapping: concatenate any system messages at the
// top of a single user turn, then append user/assistant turns as
// separate contents entries. Covers the common single-turn case
// the scrum pipeline uses.
let mut contents: Vec<GmContent> = Vec::new();
for m in &req.messages {
let role = match m.role.as_str() {
"system" | "user" => "user",
_ => "model",
};
contents.push(GmContent {
role: role.to_string(),
parts: vec![GmPart { text: m.content.clone() }],
});
}
let body = GmChatBody {
contents,
generation_config: GmGenerationConfig {
temperature: req.temperature.unwrap_or(0.3),
max_output_tokens: req.max_tokens.unwrap_or(800),
},
};
let client = reqwest::Client::builder()
.timeout(Duration::from_secs(GEMINI_TIMEOUT_SECS))
.build()
.map_err(|e| format!("build client: {e}"))?;
let url = format!("{}/models/{}:generateContent?key={}", GEMINI_BASE_URL, model, key);
let t0 = std::time::Instant::now();
let resp = client
.post(&url)
.json(&body)
.send()
.await
.map_err(|e| format!("generativelanguage.googleapis.com unreachable: {e}"))?;
let status = resp.status();
if !status.is_success() {
let body = resp.text().await.unwrap_or_else(|_| "?".into());
return Err(format!("gemini {}: {}", status, body));
}
let parsed: GmChatResponse = resp.json().await
.map_err(|e| format!("invalid gemini response: {e}"))?;
let latency_ms = t0.elapsed().as_millis();
let candidate = parsed.candidates.into_iter().next()
.ok_or_else(|| "gemini returned no candidates".to_string())?;
let text = candidate.content.parts.into_iter()
.next()
.map(|p| p.text)
.unwrap_or_default();
let prompt_tokens = parsed.usage_metadata.as_ref()
.map(|u| u.prompt_token_count)
.unwrap_or_else(|| {
let chars: usize = req.messages.iter().map(|m| m.content.chars().count()).sum();
((chars + 3) / 4) as u32
});
let completion_tokens = parsed.usage_metadata.as_ref()
.map(|u| u.candidates_token_count)
.unwrap_or_else(|| ((text.chars().count() + 3) / 4) as u32);
tracing::info!(
target: "v1.chat",
provider = "gemini",
model = %model,
prompt_tokens,
completion_tokens,
latency_ms = latency_ms as u64,
"gemini chat completed",
);
Ok(ChatResponse {
id: format!("chatcmpl-{}", chrono::Utc::now().timestamp_nanos_opt().unwrap_or(0)),
object: "chat.completion",
created: chrono::Utc::now().timestamp(),
model,
choices: vec![Choice {
index: 0,
message: Message { role: "assistant".into(), content: text },
finish_reason: candidate.finish_reason.unwrap_or_else(|| "stop".into()),
}],
usage: UsageBlock {
prompt_tokens,
completion_tokens,
total_tokens: prompt_tokens + completion_tokens,
},
})
}
// -- Gemini wire shapes --
#[derive(Serialize)]
struct GmChatBody {
contents: Vec<GmContent>,
#[serde(rename = "generationConfig")]
generation_config: GmGenerationConfig,
}
#[derive(Serialize)]
struct GmContent {
role: String,
parts: Vec<GmPart>,
}
#[derive(Serialize)]
struct GmPart { text: String }
#[derive(Serialize)]
#[serde(rename_all = "camelCase")]
struct GmGenerationConfig {
temperature: f64,
max_output_tokens: u32,
}
#[derive(Deserialize)]
struct GmChatResponse {
candidates: Vec<GmCandidate>,
#[serde(default, rename = "usageMetadata")]
usage_metadata: Option<GmUsage>,
}
#[derive(Deserialize)]
struct GmCandidate {
content: GmContentResp,
#[serde(default, rename = "finishReason")]
finish_reason: Option<String>,
}
#[derive(Deserialize)]
struct GmContentResp { parts: Vec<GmPartResp> }
#[derive(Deserialize)]
struct GmPartResp { #[serde(default)] text: String }
#[derive(Deserialize)]
#[serde(rename_all = "camelCase")]
struct GmUsage {
prompt_token_count: u32,
candidates_token_count: u32,
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn resolve_gemini_key_does_not_panic() {
let _ = resolve_gemini_key();
}
#[test]
fn chat_body_serializes_to_gemini_shape() {
let body = GmChatBody {
contents: vec![
GmContent {
role: "user".into(),
parts: vec![GmPart { text: "hello".into() }],
},
],
generation_config: GmGenerationConfig {
temperature: 0.3,
max_output_tokens: 800,
},
};
let json = serde_json::to_string(&body).unwrap();
assert!(json.contains("\"contents\""));
assert!(json.contains("\"parts\""));
// camelCase per Gemini API
assert!(json.contains("\"generationConfig\""));
assert!(json.contains("\"maxOutputTokens\":800"));
}
#[test]
fn model_prefix_strip_preserves_bare_names() {
let cases = [
("gemini/gemini-2.0-flash", "gemini-2.0-flash"),
("gemini-2.0-flash", "gemini-2.0-flash"),
];
for (input, expected) in cases {
let out = input.strip_prefix("gemini/").unwrap_or(input);
assert_eq!(out, expected);
}
}
}
+164 -5
View File
@@ -13,6 +13,9 @@
pub mod ollama;
pub mod ollama_cloud;
pub mod openrouter;
pub mod gemini;
pub mod claude;
pub mod langfuse_trace;
pub mod respond;
pub mod truth;
@@ -36,6 +39,19 @@ pub struct V1State {
/// Ollama Cloud bearer token. Loaded at startup via
/// `ollama_cloud::resolve_cloud_key()`. None = cloud routes 503.
pub ollama_cloud_key: Option<String>,
/// OpenRouter bearer token — free-tier rescue rung. Loaded at
/// startup via `openrouter::resolve_openrouter_key()`. None means
/// provider="openrouter" calls 503 rather than attempt. Same key
/// sourcing as LLM Team UI so the two share one API quota.
pub openrouter_key: Option<String>,
/// Gemini API key (Google Generative Language). Loaded at startup
/// via `gemini::resolve_gemini_key()`. None = provider="gemini"
/// calls 503. Phase 40 deliverable.
pub gemini_key: Option<String>,
/// Anthropic Claude API key. Loaded at startup via
/// `claude::resolve_claude_key()`. None = provider="claude" calls
/// 503. Phase 40 deliverable.
pub claude_key: Option<String>,
/// Phase 40 early deliverable — Langfuse client. None = tracing
/// disabled (keys missing or container unreachable). Traces are
/// fire-and-forget: never block the response path.
@@ -78,7 +94,7 @@ pub struct Message {
pub content: String,
}
#[derive(Deserialize, Debug)]
#[derive(Deserialize, Debug, Clone)]
pub struct ChatRequest {
pub model: String,
pub messages: Vec<Message>,
@@ -134,6 +150,96 @@ pub struct UsageBlock {
// -- Handlers --
/// Phase 39: resolve (provider, effective_model) from a ChatRequest.
///
/// Explicit `req.provider` wins. If absent, infer from a model-name
/// prefix: "openrouter/..." → openrouter (strip prefix), "cloud/..." →
/// ollama_cloud (strip prefix). Bare names default to "ollama".
///
/// The stripped model is what the upstream adapter expects:
/// OpenRouter's API wants "openai/gpt-4o-mini", not
/// "openrouter/openai/gpt-4o-mini".
fn resolve_provider(req: &ChatRequest) -> (String, String) {
if let Some(p) = req.provider.as_deref() {
return (p.to_ascii_lowercase(), req.model.clone());
}
if let Some(rest) = req.model.strip_prefix("openrouter/") {
return ("openrouter".to_string(), rest.to_string());
}
if let Some(rest) = req.model.strip_prefix("cloud/") {
return ("ollama_cloud".to_string(), rest.to_string());
}
if let Some(rest) = req.model.strip_prefix("gemini/") {
return ("gemini".to_string(), rest.to_string());
}
if let Some(rest) = req.model.strip_prefix("claude/") {
return ("claude".to_string(), rest.to_string());
}
("ollama".to_string(), req.model.clone())
}
#[cfg(test)]
mod resolve_provider_tests {
use super::*;
fn mk_req(provider: Option<&str>, model: &str) -> ChatRequest {
ChatRequest {
model: model.to_string(),
messages: vec![],
temperature: None,
max_tokens: None,
stream: None,
think: None,
provider: provider.map(|s| s.to_string()),
}
}
#[test]
fn explicit_provider_wins() {
let r = mk_req(Some("openrouter"), "qwen3.5:latest");
assert_eq!(resolve_provider(&r), ("openrouter".into(), "qwen3.5:latest".into()));
}
#[test]
fn bare_model_defaults_to_ollama() {
let r = mk_req(None, "qwen3.5:latest");
assert_eq!(resolve_provider(&r), ("ollama".into(), "qwen3.5:latest".into()));
}
#[test]
fn openrouter_prefix_infers_and_strips() {
let r = mk_req(None, "openrouter/openai/gpt-4o-mini");
assert_eq!(resolve_provider(&r), ("openrouter".into(), "openai/gpt-4o-mini".into()));
}
#[test]
fn cloud_prefix_infers_and_strips() {
let r = mk_req(None, "cloud/kimi-k2:1t");
assert_eq!(resolve_provider(&r), ("ollama_cloud".into(), "kimi-k2:1t".into()));
}
#[test]
fn explicit_provider_preserves_full_model_even_with_prefix() {
// If caller provides both provider and a model with a prefix,
// trust them — don't strip. The adapter will get the full model
// string as-is.
let r = mk_req(Some("openrouter"), "openrouter/openai/gpt-4o-mini");
assert_eq!(resolve_provider(&r), ("openrouter".into(), "openrouter/openai/gpt-4o-mini".into()));
}
#[test]
fn gemini_prefix_infers_and_strips() {
let r = mk_req(None, "gemini/gemini-2.0-flash");
assert_eq!(resolve_provider(&r), ("gemini".into(), "gemini-2.0-flash".into()));
}
#[test]
fn claude_prefix_infers_and_strips() {
let r = mk_req(None, "claude/claude-3-5-sonnet-latest");
assert_eq!(resolve_provider(&r), ("claude".into(), "claude-3-5-sonnet-latest".into()));
}
}
async fn chat(
State(state): State<V1State>,
Json(req): Json<ChatRequest>,
@@ -145,13 +251,29 @@ async fn chat(
tracing::warn!("/v1/chat: stream=true requested but Phase 38 returns non-streaming");
}
let provider = req.provider.as_deref().unwrap_or("ollama").to_ascii_lowercase();
// Provider resolution: explicit `req.provider` wins; otherwise
// infer from a model-name prefix. Phase 39 PRD gate example:
// `model: "openrouter/openai/gpt-4o-mini"` → provider "openrouter",
// adapter gets the stripped "openai/gpt-4o-mini".
let (provider, effective_model) = resolve_provider(&req);
let start_time = chrono::Utc::now();
let start_instant = std::time::Instant::now();
// If we stripped a prefix, clone req with the effective model so
// the adapter sees what the upstream provider expects (OpenRouter
// wants "openai/gpt-4o-mini", not "openrouter/openai/gpt-4o-mini").
let req_for_adapter: std::borrow::Cow<'_, ChatRequest> =
if effective_model == req.model {
std::borrow::Cow::Borrowed(&req)
} else {
let mut cloned = req.clone();
cloned.model = effective_model.clone();
std::borrow::Cow::Owned(cloned)
};
let (resp, used_provider) = match provider.as_str() {
"ollama" | "local" | "" => {
let r = ollama::chat(&state.ai_client, &req)
let r = ollama::chat(&state.ai_client, &*req_for_adapter)
.await
.map_err(|e| (StatusCode::BAD_GATEWAY, format!("ollama local: {e}")))?;
(r, "ollama".to_string())
@@ -161,15 +283,52 @@ async fn chat(
StatusCode::SERVICE_UNAVAILABLE,
"OLLAMA_CLOUD_KEY not configured".to_string(),
))?;
let r = ollama_cloud::chat(key, &req)
let r = ollama_cloud::chat(key, &*req_for_adapter)
.await
.map_err(|e| (StatusCode::BAD_GATEWAY, format!("ollama cloud: {e}")))?;
(r, "ollama_cloud".to_string())
}
"openrouter" | "openrouter_free" => {
// Free-tier rescue rung. Added 2026-04-24 after iter 5
// repeated Ollama Cloud 502s on kimi-k2:1t — OpenRouter
// gives a different provider backbone as fallback.
let key = state.openrouter_key.as_deref().ok_or((
StatusCode::SERVICE_UNAVAILABLE,
"OPENROUTER_API_KEY not configured".to_string(),
))?;
let r = openrouter::chat(key, &*req_for_adapter)
.await
.map_err(|e| (StatusCode::BAD_GATEWAY, format!("openrouter: {e}")))?;
(r, "openrouter".to_string())
}
"gemini" => {
// Phase 40 provider adapter. Google Generative Language
// API via query-string key auth (not bearer).
let key = state.gemini_key.as_deref().ok_or((
StatusCode::SERVICE_UNAVAILABLE,
"GEMINI_API_KEY not configured".to_string(),
))?;
let r = gemini::chat(key, &*req_for_adapter)
.await
.map_err(|e| (StatusCode::BAD_GATEWAY, format!("gemini: {e}")))?;
(r, "gemini".to_string())
}
"claude" | "anthropic" => {
// Phase 40 provider adapter. Anthropic Messages API via
// x-api-key header + anthropic-version:2023-06-01.
let key = state.claude_key.as_deref().ok_or((
StatusCode::SERVICE_UNAVAILABLE,
"ANTHROPIC_API_KEY not configured".to_string(),
))?;
let r = claude::chat(key, &*req_for_adapter)
.await
.map_err(|e| (StatusCode::BAD_GATEWAY, format!("claude: {e}")))?;
(r, "claude".to_string())
}
other => {
return Err((
StatusCode::BAD_REQUEST,
format!("unknown provider '{other}' — supported: ollama, ollama_cloud"),
format!("unknown provider '{other}' — supported: ollama, ollama_cloud, openrouter, gemini, claude"),
));
}
};
+217
View File
@@ -0,0 +1,217 @@
//! OpenRouter adapter — free-tier rescue rung for /v1/chat.
//!
//! Direct HTTPS call to `https://openrouter.ai/api/v1/chat/completions`
//! with Bearer auth. Mirrors the OpenAI-compatible shape so the model
//! list can be expanded without code changes. Added 2026-04-24 after
//! iter 5 hit repeated Ollama Cloud 502s on kimi-k2:1t — OpenRouter
//! free-tier models give us a different provider backbone as fallback.
//!
//! Key sourcing priority:
//! 1. Env var `OPENROUTER_API_KEY`
//! 2. `/home/profit/.env` (LLM Team convention)
//! 3. `/root/llm_team_config.json` → providers.openrouter.api_key
//!
//! First hit wins. Key is resolved once at gateway startup and stored
//! on `V1State.openrouter_key`.
use std::time::Duration;
use serde::{Deserialize, Serialize};
use super::{ChatRequest, ChatResponse, Choice, Message, UsageBlock};
const OR_BASE_URL: &str = "https://openrouter.ai/api/v1";
const OR_TIMEOUT_SECS: u64 = 180;
pub fn resolve_openrouter_key() -> Option<String> {
if let Ok(k) = std::env::var("OPENROUTER_API_KEY") {
if !k.trim().is_empty() { return Some(k.trim().to_string()); }
}
// LLM Team UI writes its key to ~/.env on the host user — pick it up
// from the same source so the free-tier rescue path works without
// an explicit systemd Environment= line.
for path in ["/home/profit/.env", "/root/.env"] {
if let Ok(raw) = std::fs::read_to_string(path) {
for line in raw.lines() {
if let Some(rest) = line.strip_prefix("OPENROUTER_API_KEY=") {
let k = rest.trim().trim_matches('"').trim_matches('\'');
if !k.is_empty() { return Some(k.to_string()); }
}
}
}
}
if let Ok(raw) = std::fs::read_to_string("/root/llm_team_config.json") {
if let Ok(v) = serde_json::from_str::<serde_json::Value>(&raw) {
if let Some(k) = v.pointer("/providers/openrouter/api_key").and_then(|x| x.as_str()) {
if !k.trim().is_empty() { return Some(k.trim().to_string()); }
}
}
}
None
}
pub async fn chat(
key: &str,
req: &ChatRequest,
) -> Result<ChatResponse, String> {
// Strip the "openrouter/" prefix if the caller used the namespaced
// form so OpenRouter sees the raw model id (e.g. "openai/gpt-oss-120b:free").
let model = req.model.strip_prefix("openrouter/").unwrap_or(&req.model).to_string();
let body = ORChatBody {
model: model.clone(),
messages: req.messages.iter().map(|m| ORMessage {
role: m.role.clone(),
content: m.content.clone(),
}).collect(),
max_tokens: req.max_tokens.unwrap_or(800),
temperature: req.temperature.unwrap_or(0.3),
stream: false,
};
let client = reqwest::Client::builder()
.timeout(Duration::from_secs(OR_TIMEOUT_SECS))
.build()
.map_err(|e| format!("build client: {e}"))?;
let t0 = std::time::Instant::now();
let resp = client
.post(format!("{}/chat/completions", OR_BASE_URL))
.bearer_auth(key)
// OpenRouter recommends Referer + Title for attribution; absent
// headers do not fail the call but help us see our traffic in
// their dashboard.
.header("HTTP-Referer", "https://vcp.devop.live")
.header("X-Title", "Lakehouse Scrum")
.json(&body)
.send()
.await
.map_err(|e| format!("openrouter.ai unreachable: {e}"))?;
let status = resp.status();
if !status.is_success() {
let body = resp.text().await.unwrap_or_else(|_| "?".into());
return Err(format!("openrouter.ai {}: {}", status, body));
}
let parsed: ORChatResponse = resp.json().await
.map_err(|e| format!("invalid openrouter response: {e}"))?;
let latency_ms = t0.elapsed().as_millis();
let choice = parsed.choices.into_iter().next()
.ok_or_else(|| "openrouter returned no choices".to_string())?;
let text = choice.message.content;
let prompt_tokens = parsed.usage.as_ref().map(|u| u.prompt_tokens).unwrap_or_else(|| {
let chars: usize = req.messages.iter().map(|m| m.content.chars().count()).sum();
((chars + 3) / 4) as u32
});
let completion_tokens = parsed.usage.as_ref().map(|u| u.completion_tokens).unwrap_or_else(|| {
((text.chars().count() + 3) / 4) as u32
});
tracing::info!(
target: "v1.chat",
provider = "openrouter",
model = %model,
prompt_tokens,
completion_tokens,
latency_ms = latency_ms as u64,
"openrouter chat completed",
);
Ok(ChatResponse {
id: format!("chatcmpl-{}", chrono::Utc::now().timestamp_nanos_opt().unwrap_or(0)),
object: "chat.completion",
created: chrono::Utc::now().timestamp(),
model,
choices: vec![Choice {
index: 0,
message: Message { role: "assistant".into(), content: text },
finish_reason: choice.finish_reason.unwrap_or_else(|| "stop".into()),
}],
usage: UsageBlock {
prompt_tokens,
completion_tokens,
total_tokens: prompt_tokens + completion_tokens,
},
})
}
// -- OpenRouter wire shapes (OpenAI-compatible) --
#[derive(Serialize)]
struct ORChatBody {
model: String,
messages: Vec<ORMessage>,
max_tokens: u32,
temperature: f64,
stream: bool,
}
#[derive(Serialize)]
struct ORMessage { role: String, content: String }
#[derive(Deserialize)]
struct ORChatResponse {
choices: Vec<ORChoice>,
#[serde(default)]
usage: Option<ORUsage>,
}
#[derive(Deserialize)]
struct ORChoice {
message: ORMessageResp,
#[serde(default)]
finish_reason: Option<String>,
}
#[derive(Deserialize)]
struct ORMessageResp { content: String }
#[derive(Deserialize)]
struct ORUsage { prompt_tokens: u32, completion_tokens: u32 }
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn resolve_openrouter_key_does_not_panic() {
// Smoke test — all three sources may or may not be set depending
// on environment; just confirm the call returns cleanly.
let _ = resolve_openrouter_key();
}
#[test]
fn chat_body_serializes_to_openai_shape() {
let body = ORChatBody {
model: "openai/gpt-oss-120b:free".into(),
messages: vec![
ORMessage { role: "user".into(), content: "review this".into() },
],
max_tokens: 800,
temperature: 0.3,
stream: false,
};
let json = serde_json::to_string(&body).unwrap();
assert!(json.contains("\"model\":\"openai/gpt-oss-120b:free\""));
assert!(json.contains("\"messages\""));
assert!(json.contains("\"max_tokens\":800"));
assert!(json.contains("\"stream\":false"));
}
#[test]
fn model_prefix_strip_preserves_unprefixed() {
// If caller passes "openrouter/openai/gpt-oss-120b:free" we strip.
// If caller passes "openai/gpt-oss-120b:free" unchanged, we keep.
let cases = [
("openrouter/openai/gpt-oss-120b:free", "openai/gpt-oss-120b:free"),
("openai/gpt-oss-120b:free", "openai/gpt-oss-120b:free"),
("google/gemma-3-27b-it:free", "google/gemma-3-27b-it:free"),
];
for (input, expected) in cases {
let out = input.strip_prefix("openrouter/").unwrap_or(input);
assert_eq!(out, expected, "{input} should become {expected}");
}
}
}
+4 -6
View File
@@ -1,12 +1,10 @@
use axum::{routing::get, Router};
use serde::Serialize;
use truth::default_truth_store;
#[allow(dead_code)]
pub fn truth_router() -> Router {
Router::new()
.route("/context", get(context))
}
// Note: truth_router() was a stub wrapper around a single /context route
// that nothing called — v1/mod.rs wires get(truth::context) directly
// onto its own router. Removed 2026-04-24 along with its #[allow(dead_code)]
// attribute; the handler below is the real surface.
#[derive(Serialize)]
pub struct ContextResponse {
+3 -5
View File
@@ -2,12 +2,9 @@
/// When a source changes format (columns renamed, added, removed, type changed),
/// the system detects the diff and can auto-map using AI or heuristic matching.
#[allow(unused_imports)]
use arrow::datatypes::{DataType, Schema, SchemaRef};
use arrow::datatypes::{DataType, SchemaRef};
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
#[allow(unused_imports)]
use std::sync::Arc;
/// A detected change between two schema versions.
#[derive(Debug, Clone, Serialize, Deserialize)]
@@ -225,7 +222,8 @@ fn find_similar_column<'a>(
#[cfg(test)]
mod tests {
use super::*;
use arrow::datatypes::Field;
use arrow::datatypes::{Field, Schema};
use std::sync::Arc;
fn schema(fields: Vec<(&str, DataType)>) -> SchemaRef {
Arc::new(Schema::new(
+1 -2
View File
@@ -1,10 +1,9 @@
#[allow(unused_imports)]
use axum::{
Json, Router,
extract::{Multipart, Path, Query, State},
http::{HeaderMap, StatusCode},
response::IntoResponse,
routing::{delete, get, patch, post},
routing::{get, post},
};
use bytes::Bytes;
use object_store::ObjectStore;
+8 -6
View File
@@ -72,12 +72,14 @@ async fn process_inbox(
let path = entry.path();
// Skip directories and hidden files
if path.is_dir() || path.file_name().map_or(true, |n| n.to_string_lossy().starts_with('.')) {
continue;
}
let filename = path.file_name().unwrap().to_string_lossy().to_string();
// Skip directories and hidden files. Bind filename once via
// let-else so the subsequent use is unwrap-free — previous
// version relied on a map_or guard above + an .unwrap() here
// being consistent, which is a fragile invariant.
if path.is_dir() { continue; }
let Some(fn_os) = path.file_name() else { continue; };
let filename = fn_os.to_string_lossy().to_string();
if filename.starts_with('.') { continue; }
tracing::info!("watcher: found new file '{}'", filename);
// Read file
+1
View File
@@ -7,6 +7,7 @@ edition = "2024"
shared = { path = "../shared" }
catalogd = { path = "../catalogd" }
storaged = { path = "../storaged" }
truth = { path = "../truth" }
tokio = { workspace = true }
axum = { workspace = true }
serde = { workspace = true }
+8 -5
View File
@@ -84,14 +84,17 @@ pub async fn compact(
// Load deltas
let delta_batches = load_deltas(store, dataset_name).await?;
let delta_count = delta_batches.len();
// Row counts captured before extend; previously base_rows subtracted delta_count (files) from rows — unit mismatch.
let base_row_count: usize = base_batches.iter().map(|b| b.num_rows()).sum();
let delta_row_count: usize = delta_batches.iter().map(|b| b.num_rows()).sum();
let has_tombstones = !tombstones.is_empty();
let nothing_to_do = delta_batches.is_empty() && !has_tombstones;
if nothing_to_do {
return Ok(CompactResult {
base_rows: base_batches.iter().map(|b| b.num_rows()).sum(),
base_rows: base_row_count,
delta_rows: 0,
final_rows: base_batches.iter().map(|b| b.num_rows()).sum(),
final_rows: base_row_count,
deltas_merged: 0,
tombstones_applied: 0,
rows_dropped_by_tombstones: 0,
@@ -99,7 +102,7 @@ pub async fn compact(
}
base_batches.extend(delta_batches);
let pre_filter_rows: usize = base_batches.iter().map(|b| b.num_rows()).sum();
let pre_filter_rows: usize = base_row_count + delta_row_count;
// If primary key specified, deduplicate (keep last occurrence)
let merged_batches = if let Some(_pk) = primary_key_col {
@@ -183,8 +186,8 @@ pub async fn compact(
);
Ok(CompactResult {
base_rows: pre_filter_rows - delta_count, // rough base-before-deltas
delta_rows: delta_count,
base_rows: base_row_count,
delta_rows: delta_row_count,
final_rows,
deltas_merged: delta_count,
tombstones_applied: tombstones.len(),
+119
View File
@@ -9,6 +9,9 @@ use axum::{
};
use serde::{Deserialize, Serialize};
use std::sync::Arc;
use truth::{RuleAction, TruthStore};
use crate::context::QueryEngine;
use crate::delta;
use crate::paged::ResultStore;
@@ -17,12 +20,26 @@ use crate::paged::ResultStore;
pub struct QueryState {
pub engine: QueryEngine,
pub result_store: ResultStore,
// Policy gate for incoming SQL. Every /sql and /paged request is
// evaluated against this store before hitting DataFusion. Added for
// P42-002 ("raw SQL forwarded without schema or policy gate") after
// the scrum master's queryd/service.rs finding looped across iters
// 3-5 without ever being reachable by the 6-line auto-applier.
pub truth: Arc<TruthStore>,
}
pub fn router(engine: QueryEngine) -> Router {
router_with_truth(engine, Arc::new(truth::sql_query_guard_store()))
}
/// Test/integration hook: construct the router with a caller-supplied
/// TruthStore so tests can assert reject/pass behavior deterministically
/// without depending on the default needle list.
pub fn router_with_truth(engine: QueryEngine, truth: Arc<TruthStore>) -> Router {
let state = QueryState {
engine: engine.clone(),
result_store: ResultStore::new(100, 50), // 100 rows/page, keep 50 results
truth,
};
Router::new()
.route("/health", get(health))
@@ -52,6 +69,11 @@ struct QueryResponse {
columns: Vec<ColumnInfo>,
rows: serde_json::Value,
row_count: usize,
// Elapsed wall time from handler entry to response. Required for
// audit-log parity — gateway's audit row previously stored null here.
// Scrum iter 9 finding, populated from std::time::Instant captured
// at the top of execute_query / paged_query.
latency_ms: u64,
}
#[derive(Serialize)]
@@ -71,12 +93,41 @@ fn batches_to_json(batches: &[RecordBatch]) -> Result<serde_json::Value, String>
serde_json::from_slice(&buf).map_err(|e| format!("JSON parse error: {e}"))
}
/// Evaluate the request SQL against the configured TruthStore. Returns
/// the Reject/Block message on the first failing mandatory rule so the
/// handler can short-circuit. Returns None when all rules pass (or when
/// the failures' declared action is non-mandatory like Redact/Pass).
fn sql_policy_check(truth: &TruthStore, sql: &str) -> Option<String> {
let ctx = serde_json::json!({ "sql": sql });
for outcome in truth.evaluate("sql_query", &ctx) {
if !outcome.passed {
// FieldEmpty / FieldContainsAny etc. are enforced only when
// condition HOLDS (i.e. passed=true). Below means "passed=false",
// so the rule condition did not hold — no enforcement.
continue;
}
match &outcome.action {
RuleAction::Reject { message } | RuleAction::Block { message } => {
return Some(message.clone());
}
_ => {}
}
}
None
}
async fn execute_query(
State(state): State<QueryState>,
Json(req): Json<QueryRequest>,
) -> impl IntoResponse {
let started = std::time::Instant::now();
tracing::info!("executing query: {}", req.sql);
if let Some(reason) = sql_policy_check(&state.truth, &req.sql) {
tracing::warn!("sql rejected by truth gate: {reason}");
return Err((StatusCode::FORBIDDEN, reason));
}
match state.engine.query(&req.sql).await {
Ok(batches) => {
if batches.is_empty() {
@@ -84,6 +135,7 @@ async fn execute_query(
columns: vec![],
rows: serde_json::Value::Array(vec![]),
row_count: 0,
latency_ms: started.elapsed().as_millis() as u64,
}));
}
@@ -102,6 +154,7 @@ async fn execute_query(
columns,
rows,
row_count,
latency_ms: started.elapsed().as_millis() as u64,
}))
}
Err(e) => Err((StatusCode::BAD_REQUEST, e)),
@@ -115,6 +168,10 @@ async fn paged_query(
Json(req): Json<QueryRequest>,
) -> impl IntoResponse {
tracing::info!("paged query: {}", req.sql);
if let Some(reason) = sql_policy_check(&state.truth, &req.sql) {
tracing::warn!("paged sql rejected by truth gate: {reason}");
return Err((StatusCode::FORBIDDEN, reason));
}
match state.result_store.execute_and_store(&state.engine, &req.sql).await {
Ok(handle) => Ok(Json(handle)),
Err(e) => Err((StatusCode::BAD_REQUEST, e)),
@@ -211,3 +268,65 @@ async fn compact_dataset(
Err(e) => Err((StatusCode::INTERNAL_SERVER_ERROR, e)),
}
}
#[cfg(test)]
mod sql_policy_tests {
use super::*;
use truth::sql_query_guard_store;
// These tests exercise the policy gate without spinning up a DataFusion
// engine — they only need `TruthStore`. Purpose: prove the P42-002
// enforcement point actually rejects destructive SQL. This is the
// regression guard for the queryd/service.rs finding that looped
// across scrum iters 3-5.
#[test]
fn blocks_drop_table() {
let store = sql_query_guard_store();
let reason = sql_policy_check(&store, "DROP TABLE users").expect("must reject");
assert!(reason.contains("destructive"), "reason: {reason}");
}
#[test]
fn blocks_delete_from() {
let store = sql_query_guard_store();
assert!(sql_policy_check(&store, "delete from t where 1=1").is_some());
}
#[test]
fn blocks_truncate() {
let store = sql_query_guard_store();
assert!(sql_policy_check(&store, "TRUNCATE workers").is_some());
}
#[test]
fn blocks_empty_sql() {
let store = sql_query_guard_store();
assert!(sql_policy_check(&store, "").is_some());
}
#[test]
fn allows_benign_select() {
let store = sql_query_guard_store();
assert!(sql_policy_check(&store, "SELECT count(*) FROM workers").is_none());
}
#[test]
fn allows_select_with_deleted_word_in_column() {
// Substring match is narrow ("delete from", not "delete"), so a
// column named `deleted_at` doesn't trip the guard. Important
// check — false positives on benign queries would make the gate
// unusable in practice.
let store = sql_query_guard_store();
assert!(
sql_policy_check(&store, "SELECT deleted_at FROM t").is_none(),
"column names containing 'delete' must not be rejected"
);
}
#[test]
fn case_insensitive_match_catches_mixed_case() {
let store = sql_query_guard_store();
assert!(sql_policy_check(&store, "Drop Table X").is_some());
}
}
+2
View File
@@ -4,3 +4,5 @@ pub mod arrow_helpers;
pub mod config;
pub mod pii;
pub mod secrets;
pub mod model_matrix;
pub mod profiles;
+69
View File
@@ -0,0 +1,69 @@
//! Per-model token accounting. Entry point for the ModelMatrix work
//! the aibridge `context::estimate_tokens` deprecation has been pointing
//! at. Starts minimal — just `estimate_tokens` — so call sites can
//! migrate off the deprecated helper. Extend with per-model context
//! windows, max_tokens defaults, provider hints, etc. as we move the
//! rest of `aibridge::context::known_windows` over.
/// Namespace for per-model token + context accounting. Methods are
/// associated functions — no instance required — because the underlying
/// estimates are deterministic and stateless.
pub struct ModelMatrix;
impl ModelMatrix {
/// Rough token count — char count divided by 4, rounded up. This
/// is the same heuristic OpenAI's cookbook uses for English text;
/// it's within ±15% of BPE tokenizers for code + prose and doesn't
/// require a tokenizer lookup. Good enough for budget math where
/// the goal is "don't blow the context window" rather than exact
/// billing.
///
/// Moved from `aibridge::context::estimate_tokens` (still there with
/// a `#[deprecated]` pointer — callers should migrate here). Empty
/// string → 0; one char → 1 (ceiling of 1/4 = 1).
pub fn estimate_tokens(text: &str) -> usize {
(text.chars().count() + 3) / 4
}
}
#[cfg(test)]
mod tests {
use super::ModelMatrix;
#[test]
fn empty_string_is_zero_tokens() {
assert_eq!(ModelMatrix::estimate_tokens(""), 0);
}
#[test]
fn three_chars_is_one_token() {
// 3 → ceil(3/4) = 1. Matches the deprecated helper's behavior
// so the migration is a drop-in replacement.
assert_eq!(ModelMatrix::estimate_tokens("abc"), 1);
}
#[test]
fn four_chars_is_one_token() {
assert_eq!(ModelMatrix::estimate_tokens("abcd"), 1);
}
#[test]
fn five_chars_is_two_tokens() {
assert_eq!(ModelMatrix::estimate_tokens("abcde"), 2);
}
#[test]
fn counts_chars_not_bytes() {
// Multi-byte UTF-8 chars count as 1 char each — important for
// prompts with emoji or non-ASCII text. "héllo" is 5 chars
// (5 unicode scalars) → ceil(5/4) = 2 tokens, same as "hello".
assert_eq!(ModelMatrix::estimate_tokens("héllo"), 2);
assert_eq!(ModelMatrix::estimate_tokens("📚📚📚📚"), 1); // 4 chars
}
#[test]
fn large_text_scales_linearly() {
assert_eq!(ModelMatrix::estimate_tokens(&"x".repeat(400)), 100);
assert_eq!(ModelMatrix::estimate_tokens(&"x".repeat(401)), 101);
}
}
+14
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@@ -0,0 +1,14 @@
//! ExecutionProfile — the Phase 41 rename of Phase 17's ModelProfile.
//!
//! Carries what's needed to RUN inference: model tag, dataset bindings,
//! HNSW config, embed model, bucket binding. Today this is a type
//! alias over `crate::types::ModelProfile` — the PRD's
//! "Backward compat: ModelProfile still loads, aliased to
//! ExecutionProfile" line, honored literally.
//!
//! When the migration off the old name finishes, this file can either
//! absorb the full struct definition or continue as an alias. Callers
//! should reference `ExecutionProfile` going forward; `ModelProfile`
//! stays exported from `types` for on-disk schema compat.
pub use crate::types::ModelProfile as ExecutionProfile;
+38
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@@ -0,0 +1,38 @@
//! MemoryProfile — how the agent's execution memory is kept.
//!
//! Phase 41 decomposition: the Phase 19 playbook_memory + Phase 26
//! successful_playbooks + Phase 45 doc_refs all need per-profile
//! tuning. Rather than bolt those onto ExecutionProfile, they live
//! here so a "thin" execution profile can reuse a "fat" memory
//! profile and vice versa.
use serde::{Deserialize, Serialize};
#[derive(Clone, Debug, Serialize, Deserialize)]
pub struct MemoryProfile {
pub id: String,
#[serde(default)]
pub description: String,
/// Phase 19: ceiling for playbook_memory boost on retrieval. 0
/// disables the boost entirely.
#[serde(default = "default_boost_ceiling")]
pub playbook_boost_ceiling: f32,
/// Phase 26: max history entries retained before rotation.
#[serde(default = "default_history_cap")]
pub history_cap: usize,
/// Phase 45: stale threshold for doc_refs before drift check
/// fires (hours).
#[serde(default = "default_stale_hours")]
pub doc_stale_hours: u32,
/// Phase 28: auto-retire playbooks that fail 3+ consecutive runs.
#[serde(default = "default_true")]
pub auto_retire_on_failure: bool,
pub created_at: chrono::DateTime<chrono::Utc>,
#[serde(default)]
pub created_by: String,
}
fn default_boost_ceiling() -> f32 { 0.35 }
fn default_history_cap() -> usize { 1000 }
fn default_stale_hours() -> u32 { 168 } // one week
fn default_true() -> bool { true }
+28
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@@ -0,0 +1,28 @@
//! Phase 41 profile types.
//!
//! The existing `ModelProfile` (Phase 17) is aliased as
//! `ExecutionProfile` here — it continues to carry the model +
//! bindings + HNSW config needed to run inference. Three new profile
//! types land alongside: `RetrievalProfile`, `MemoryProfile`,
//! `ObserverProfile` — each owns a distinct slice of what used to be
//! bundled.
//!
//! Backward-compat rule (PRD Phase 41): existing `ModelProfile` on
//! disk continues to deserialize unchanged. New fields on the new
//! profile types are `#[serde(default)]` so old payloads load with
//! empty defaults.
//!
//! These are the canonical shapes — downstream code converts via
//! `From<ModelProfile> for ExecutionProfile` (they're the same struct
//! today, just named differently) and constructs the other three
//! as needed.
pub mod execution;
pub mod retrieval;
pub mod memory;
pub mod observer;
pub use execution::ExecutionProfile;
pub use memory::MemoryProfile;
pub use observer::ObserverProfile;
pub use retrieval::RetrievalProfile;
+38
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@@ -0,0 +1,38 @@
//! ObserverProfile — how loudly the observer logs this workload.
//!
//! Phase 41 decomposition: the observer's alert thresholds, escalation
//! cadence, and log retention need per-workload tuning. Hot-path
//! staffing workflows want aggressive alerting; batch backfills want
//! quieter. This profile is read by mcp-server/observer.ts at
//! activation-time.
use serde::{Deserialize, Serialize};
#[derive(Clone, Debug, Serialize, Deserialize)]
pub struct ObserverProfile {
pub id: String,
#[serde(default)]
pub description: String,
/// How many consecutive failures trigger a cluster escalation to
/// LLM Team `/v1/chat` (qwen3-coder:480b).
#[serde(default = "default_failure_cluster_size")]
pub failure_cluster_size: u32,
/// Minimum seconds between alert emails for the same sig_hash.
/// Prevents alert storms during a regression.
#[serde(default = "default_alert_cooldown")]
pub alert_cooldown_secs: u32,
/// Observer ring buffer size. Older events fall off when full.
#[serde(default = "default_ring_size")]
pub ring_size: usize,
/// Whether to forward events to external Langfuse
/// (/v1/langfuse_trace). Off by default.
#[serde(default)]
pub forward_to_langfuse: bool,
pub created_at: chrono::DateTime<chrono::Utc>,
#[serde(default)]
pub created_by: String,
}
fn default_failure_cluster_size() -> u32 { 3 }
fn default_alert_cooldown() -> u32 { 300 } // 5 minutes
fn default_ring_size() -> usize { 2000 }
+52
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@@ -0,0 +1,52 @@
//! RetrievalProfile — what + how the agent reaches into memory.
//!
//! Phase 41 decomposition: the old ModelProfile bundled "what dataset
//! can I read" (bound_datasets) AND "how do I rank results"
//! (hnsw_config) with the model tag. Retrieval concerns split out here
//! so a profile can swap its retrieval strategy without re-activating
//! the model.
//!
//! Fields chosen for what's actually varied per-workload today:
//! - `top_k` / `rerank_top_k` — how many hits to fetch + rerank
//! - `freshness_cutoff_days` — Phase 45 doc-drift uses this
//! - `boost_playbook_memory` — Phase 19 meta-index feedback
//! - `enforce_sensitivity_gates` — Phase 13 access-control integration
//!
//! All fields are `#[serde(default)]` so loading a profile file that
//! predates Phase 41 works without migration.
use serde::{Deserialize, Serialize};
#[derive(Clone, Debug, Serialize, Deserialize)]
pub struct RetrievalProfile {
/// Unique id — slug form, separate namespace from ExecutionProfile.
pub id: String,
/// Free-text operator description.
#[serde(default)]
pub description: String,
/// Default top-K for /vectors/search + /vectors/hybrid.
#[serde(default = "default_top_k")]
pub top_k: u32,
/// How many of the top-K to pass through the reranker. 0 disables
/// reranking for this profile.
#[serde(default = "default_rerank_top_k")]
pub rerank_top_k: u32,
/// Don't consider playbooks / docs older than this (days). 0 or
/// absent = no freshness filter.
#[serde(default)]
pub freshness_cutoff_days: u32,
/// Phase 19: boost workers/results by playbook_memory similarity.
#[serde(default)]
pub boost_playbook_memory: bool,
/// Phase 13: apply access-control masking on sensitive columns.
/// Default on — safety-first.
#[serde(default = "default_true")]
pub enforce_sensitivity_gates: bool,
pub created_at: chrono::DateTime<chrono::Utc>,
#[serde(default)]
pub created_by: String,
}
fn default_top_k() -> u32 { 10 }
fn default_rerank_top_k() -> u32 { 5 }
fn default_true() -> bool { true }
+2 -1
View File
@@ -7,4 +7,5 @@ edition = "2024"
serde = { workspace = true }
serde_json = { workspace = true }
tokio = { workspace = true }
tracing = { workspace = true }
tracing = { workspace = true }
toml = { workspace = true }
+49
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@@ -0,0 +1,49 @@
//! DevOps task-class rules — scaffold for the long-horizon phase.
//!
//! Phase 42 PRD: "Terraform/Ansible rule shapes are scaffolded but
//! unpopulated until the long-horizon phase. Keeps the dispatcher
//! signature stable so no refactor needed later."
//!
//! This module is intentionally minimal. It registers no rules yet.
//! The `devops_rules` function exists so callers can compose it onto
//! a store (e.g. `devops_rules(staffing_rules(TruthStore::new()))`)
//! without branching on whether the DevOps phase has landed.
//!
//! When the long-horizon phase fleshes out the DevOps rule set, the
//! implementations drop in here — same `RuleCondition` primitives, same
//! `TruthStore::evaluate` contract, zero upstream refactor.
use crate::TruthStore;
/// Register DevOps rules on the store. Currently a no-op scaffold —
/// no rules are added. Safe to compose with other rule-set functions.
///
/// Planned task classes (not yet populated):
/// - `devops.terraform_plan` — `terraform validate` + pre-plan
/// sanity checks (no destroys without confirm flag, etc.)
/// - `devops.ansible_playbook` — `ansible-lint` + privileged-task
/// gates (no `become: true` on untagged hosts)
/// - `devops.shell_command` — whitelist / blocklist for
/// AI-generated shell invocations (covers what Phase 42
/// queryd SQL gate does for SQL — same idea, shell surface)
pub fn devops_rules(store: TruthStore) -> TruthStore {
// Intentionally empty. See module-level doc for the phased rollout.
store
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn devops_rules_is_a_noop_for_now() {
// Scaffold guarantee: composing devops_rules onto an empty
// store must not add any rules. Future long-horizon work will
// populate this and the assertion shifts to counting the
// expected additions.
let store = devops_rules(TruthStore::new());
assert_eq!(store.get_rules("devops.terraform_plan").len(), 0);
assert_eq!(store.get_rules("devops.ansible_playbook").len(), 0);
assert_eq!(store.get_rules("devops.shell_command").len(), 0);
}
}
+135 -48
View File
@@ -1,6 +1,10 @@
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
pub mod staffing;
pub mod devops;
pub mod loader;
#[derive(Clone, Debug, Serialize, Deserialize)]
pub struct TruthRule {
pub id: String,
@@ -18,6 +22,11 @@ pub enum RuleCondition {
FieldMismatch { field: String, value: String },
FieldEmpty { field: String },
FieldGreater { field: String, threshold: i64 },
// Case-insensitive substring scan — true if the field value contains
// ANY of `needles`. Added for SQL/command guards where rules of the
// form "sql must not contain DROP/DELETE/TRUNCATE" need to express
// enforcement as a passing precondition being absent.
FieldContainsAny { field: String, needles: Vec<String> },
}
#[derive(Clone, Debug, PartialEq, Serialize, Deserialize)]
@@ -46,6 +55,15 @@ impl TruthStore {
.push(rule);
}
/// All rule IDs across every task class. Used by the file loader
/// to detect duplicate-ID collisions before registering new rules.
pub fn all_rule_ids(&self) -> std::collections::HashSet<String> {
self.rules
.values()
.flat_map(|v| v.iter().map(|r| r.id.clone()))
.collect()
}
pub fn get_rules(&self, task_class: &str) -> Vec<&TruthRule> {
self.rules
.get(task_class)
@@ -124,6 +142,15 @@ fn evaluate_condition(cond: &RuleCondition, ctx: &serde_json::Value) -> bool {
.map(|n| n > *threshold)
.unwrap_or(false)
}
RuleCondition::FieldContainsAny { field, needles } => {
match field_as_string(ctx, field) {
None => false,
Some(s) => {
let haystack = s.to_ascii_lowercase();
needles.iter().any(|n| haystack.contains(&n.to_ascii_lowercase()))
}
}
}
}
}
@@ -147,67 +174,64 @@ fn field_as_string(ctx: &serde_json::Value, path: &str) -> Option<String> {
})
}
pub fn default_truth_store() -> TruthStore {
/// Minimal SQL guard — rejects destructive verbs (DROP/TRUNCATE/DELETE).
/// queryd/src/service.rs loads this into its `QueryState` and evaluates
/// every `/sql` request against it before hitting the DataFusion engine.
/// This is the P42-002 enforcement point flagged across scrum iters 3-5
/// ("raw SQL forwarded without schema or policy gate").
///
/// Intentionally narrow: it's a safety net, not a full SQL parser. If
/// callers need richer AST-aware enforcement they should extend this with
/// structured rules rather than new needles.
pub fn sql_query_guard_store() -> TruthStore {
let mut store = TruthStore::new();
store.add_rule(TruthRule {
id: "worker-active".to_string(),
task_class: "staffing.fill".to_string(),
description: "Worker must be active".to_string(),
condition: RuleCondition::FieldEquals {
field: "worker.status".to_string(),
value: "active".to_string(),
},
action: RuleAction::Pass,
});
store.add_rule(TruthRule {
id: "client-not-blacklisted".to_string(),
task_class: "staffing.fill".to_string(),
description: "Worker cannot be blacklisted for client".to_string(),
condition: RuleCondition::FieldEquals {
field: "worker.client_blacklisted".to_string(),
value: "false".to_string(),
},
action: RuleAction::Pass,
});
store.add_rule(TruthRule {
id: "deadline-required".to_string(),
task_class: "staffing.fill".to_string(),
description: "Contract must have deadline".to_string(),
condition: RuleCondition::FieldEmpty {
field: "contract.deadline".to_string(),
id: "no-destructive-sql".to_string(),
task_class: "sql_query".to_string(),
description: "SQL must not contain destructive verbs".to_string(),
condition: RuleCondition::FieldContainsAny {
field: "sql".to_string(),
needles: vec![
"drop table".to_string(),
"drop schema".to_string(),
"drop database".to_string(),
"truncate".to_string(),
"delete from".to_string(),
],
},
action: RuleAction::Reject {
message: "Contract deadline is required".to_string(),
message: "destructive SQL rejected by truth.sql_query_guard".to_string(),
},
});
store.add_rule(TruthRule {
id: "budget-required".to_string(),
task_class: "staffing.fill".to_string(),
description: "Budget must be non-negative".to_string(),
condition: RuleCondition::FieldGreater {
field: "contract.budget_per_hour_max".to_string(),
threshold: 0,
id: "sql-not-empty".to_string(),
task_class: "sql_query".to_string(),
description: "SQL must not be empty".to_string(),
condition: RuleCondition::FieldEmpty {
field: "sql".to_string(),
},
action: RuleAction::Pass,
});
store.add_rule(TruthRule {
id: "pii-redact".to_string(),
task_class: "staffing.any".to_string(),
description: "Redact PII before cloud calls".to_string(),
condition: RuleCondition::Always,
action: RuleAction::Redact {
fields: vec!["ssn".to_string(), "salary".to_string()],
action: RuleAction::Reject {
message: "empty SQL rejected".to_string(),
},
});
store
}
/// Phase 42 default store: staffing rules + DevOps scaffold composed
/// onto an empty TruthStore. Per the PRD: "Staffing rules ship first;
/// Terraform/Ansible rule shapes are scaffolded but unpopulated until
/// the long-horizon phase." The composition order is irrelevant here
/// (DevOps is empty) but preserved so the shape matches the PRD's
/// expected "compose on top" pattern.
///
/// Moved out of inline in-function rule registration (2026-04-24) to
/// land the Phase 42 module split the PRD called for: `staffing.rs` +
/// `devops.rs` each owns their task-class rule sets. Behavior unchanged
/// for existing callers.
pub fn default_truth_store() -> TruthStore {
devops::devops_rules(staffing::staffing_rules(TruthStore::new()))
}
#[cfg(test)]
mod tests {
use super::*;
@@ -520,4 +544,67 @@ mod tests {
let actions = s.check("t");
assert_eq!(actions.len(), 3, "check returns one action per rule regardless of condition");
}
fn sql_guard_store() -> TruthStore {
let mut s = TruthStore::new();
s.add_rule(TruthRule {
id: "no-destructive".into(),
task_class: "sql_query".into(),
description: "SQL must not contain destructive verbs".into(),
condition: RuleCondition::FieldContainsAny {
field: "sql".into(),
needles: vec![
"drop table".into(),
"drop schema".into(),
"truncate".into(),
"delete from".into(),
],
},
action: RuleAction::Reject {
message: "destructive SQL rejected".into(),
},
});
s
}
#[test]
fn field_contains_any_matches_case_insensitively() {
let s = sql_guard_store();
let ctx = serde_json::json!({"sql": "SELECT * FROM t; DROP TABLE users;"});
let o = s.evaluate("sql_query", &ctx);
assert!(o[0].passed, "condition holds when needle present (case-insensitive)");
}
#[test]
fn field_contains_any_is_false_when_no_needle_matches() {
let s = sql_guard_store();
let ctx = serde_json::json!({"sql": "SELECT count(*) FROM workers"});
let o = s.evaluate("sql_query", &ctx);
assert!(!o[0].passed, "benign SELECT should not match destructive needles");
}
#[test]
fn field_contains_any_false_when_field_missing() {
let s = sql_guard_store();
let ctx = serde_json::json!({});
let o = s.evaluate("sql_query", &ctx);
assert!(!o[0].passed, "missing field → condition cannot hold");
}
#[test]
fn field_contains_any_empty_needles_list_never_matches() {
let mut s = TruthStore::new();
s.add_rule(TruthRule {
id: "empty".into(),
task_class: "x".into(),
description: "".into(),
condition: RuleCondition::FieldContainsAny {
field: "sql".into(),
needles: vec![],
},
action: RuleAction::Pass,
});
let o = s.evaluate("x", &serde_json::json!({"sql": "anything"}));
assert!(!o[0].passed, "no needles → any::<bool> is false");
}
}
+187
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@@ -0,0 +1,187 @@
//! File-backed TruthRule loader (Phase 42 PRD).
//!
//! PRD: "truth/ dir at repo root — rule files, versioned in git."
//! This module walks a directory, parses every `*.toml` file it finds,
//! and registers the rules into a caller-supplied store. Rule IDs must
//! be unique across the combined set — duplicate-ID collisions are
//! load-time errors.
//!
//! The TOML format matches the shape at `truth/README.md`. The same
//! `RuleCondition` + `RuleAction` enums used by the in-code registrars
//! deserialize directly from `condition = { type = "FieldEquals", ... }`
//! thanks to `#[serde(tag = "type")]`.
use std::fs;
use std::path::Path;
use serde::Deserialize;
use crate::{TruthRule, TruthStore};
/// Deserialization wrapper — a TOML file is a list of [[rule]] blocks.
#[derive(Deserialize)]
struct RuleFile {
#[serde(default)]
rule: Vec<TruthRule>,
}
/// Load every `*.toml` file in `dir` and add its rules to `store`.
/// Returns the number of rules loaded across all files.
///
/// Errors:
/// - directory doesn't exist or can't be read
/// - any `.toml` file fails to parse
/// - any rule ID collides with an existing rule (same ID already
/// registered in the store)
///
/// Non-goals: recursive walk (flat dir only), hot reload (one-shot load).
pub fn load_from_dir(store: &mut TruthStore, dir: impl AsRef<Path>) -> Result<usize, String> {
let dir = dir.as_ref();
let entries = fs::read_dir(dir)
.map_err(|e| format!("read_dir {}: {e}", dir.display()))?;
let mut loaded_ids = store.all_rule_ids();
let mut count = 0usize;
let mut paths: Vec<_> = entries
.filter_map(|e| e.ok())
.map(|e| e.path())
.filter(|p| p.extension().and_then(|s| s.to_str()) == Some("toml"))
.collect();
// Deterministic order — alphabetical by filename. Matters when a
// cross-file ID collision happens; the earlier filename wins
// nothing (both error), but the error message is reproducible.
paths.sort();
for path in paths {
let raw = fs::read_to_string(&path)
.map_err(|e| format!("read {}: {e}", path.display()))?;
let file: RuleFile = toml::from_str(&raw)
.map_err(|e| format!("parse {}: {e}", path.display()))?;
for rule in file.rule {
if !loaded_ids.insert(rule.id.clone()) {
return Err(format!(
"duplicate rule id '{}' from {}",
rule.id,
path.display()
));
}
store.add_rule(rule);
count += 1;
}
}
Ok(count)
}
#[cfg(test)]
mod tests {
use super::*;
use std::io::Write;
fn write_file(dir: &Path, name: &str, content: &str) {
let path = dir.join(name);
let mut f = fs::File::create(&path).unwrap();
f.write_all(content.as_bytes()).unwrap();
}
#[test]
fn loads_rules_from_toml_files() {
let tmp = tempdir_for("loader_test");
write_file(&tmp, "a.toml", r#"
[[rule]]
id = "a-rule"
task_class = "test"
description = "test rule"
action = { type = "Pass" }
[rule.condition]
type = "Always"
"#);
let mut store = TruthStore::new();
let n = load_from_dir(&mut store, &tmp).unwrap();
assert_eq!(n, 1);
assert_eq!(store.get_rules("test").len(), 1);
let _ = fs::remove_dir_all(&tmp);
}
#[test]
fn rejects_duplicate_rule_ids() {
let tmp = tempdir_for("dup_ids");
write_file(&tmp, "a.toml", r#"
[[rule]]
id = "same"
task_class = "t"
description = ""
action = { type = "Pass" }
[rule.condition]
type = "Always"
"#);
write_file(&tmp, "b.toml", r#"
[[rule]]
id = "same"
task_class = "t"
description = ""
action = { type = "Pass" }
[rule.condition]
type = "Always"
"#);
let mut store = TruthStore::new();
let err = load_from_dir(&mut store, &tmp).unwrap_err();
assert!(err.contains("duplicate"), "got: {err}");
let _ = fs::remove_dir_all(&tmp);
}
#[test]
fn duplicate_with_in_code_rule_is_rejected() {
// Existing in-store IDs count as "already registered." Operator
// can't shadow an in-code rule by file without changing the ID.
let tmp = tempdir_for("dup_in_code");
write_file(&tmp, "conflict.toml", r#"
[[rule]]
id = "worker-active"
task_class = "staffing.fill"
description = "file attempt"
action = { type = "Pass" }
[rule.condition]
type = "Always"
"#);
// staffing_rules registers "worker-active"
let mut store = crate::staffing::staffing_rules(TruthStore::new());
let err = load_from_dir(&mut store, &tmp).unwrap_err();
assert!(err.contains("duplicate") && err.contains("worker-active"));
let _ = fs::remove_dir_all(&tmp);
}
#[test]
fn skips_non_toml_files() {
let tmp = tempdir_for("skip_non_toml");
write_file(&tmp, "a.toml", r#"
[[rule]]
id = "x"
task_class = "t"
description = ""
action = { type = "Pass" }
[rule.condition]
type = "Always"
"#);
write_file(&tmp, "README.md", "not a toml file");
let mut store = TruthStore::new();
let n = load_from_dir(&mut store, &tmp).unwrap();
assert_eq!(n, 1); // README.md ignored
let _ = fs::remove_dir_all(&tmp);
}
#[test]
fn missing_dir_returns_error() {
let mut store = TruthStore::new();
let err = load_from_dir(&mut store, "/nonexistent/path/here").unwrap_err();
assert!(err.contains("read_dir"));
}
fn tempdir_for(tag: &str) -> std::path::PathBuf {
let dir = std::env::temp_dir().join(format!("truth_loader_{}_{}", tag,
std::process::id()));
fs::create_dir_all(&dir).unwrap();
dir
}
}
+125
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@@ -0,0 +1,125 @@
//! Staffing task-class rules for the TruthStore.
//!
//! Phase 42 PRD: "Staffing rules ship first. Terraform/Ansible rule
//! shapes are scaffolded but unpopulated until the long-horizon phase."
//! This module owns the staffing rule set; `devops.rs` holds the
//! matching scaffold for the DevOps long-horizon.
//!
//! Rules registered here live under the task classes `staffing.fill`
//! (fill proposals), `staffing.rescue` (rescue escalations), and
//! `staffing.any` (rules that apply across all staffing task classes —
//! PII redaction being the canonical example).
//!
//! All rules are evaluated via the `TruthStore::evaluate` walk, which
//! pairs each rule's `RuleCondition` against a caller-supplied JSON
//! context and emits a `RuleOutcome { passed, action }` per rule.
//! Downstream enforcement (router gate, SQL gate, execution-loop gate)
//! decides how to apply the action — `Reject` / `Block` shortcircuit,
//! `Redact` mutates, `Pass` is informational.
use crate::{RuleAction, RuleCondition, TruthRule, TruthStore};
/// Register the staffing rule set on an existing store. Returns the
/// store for chaining if the caller wants to fold other rule sets on
/// top (e.g. `staffing_rules(devops_rules(TruthStore::new()))`).
pub fn staffing_rules(mut store: TruthStore) -> TruthStore {
store.add_rule(TruthRule {
id: "worker-active".to_string(),
task_class: "staffing.fill".to_string(),
description: "Worker must be active".to_string(),
condition: RuleCondition::FieldEquals {
field: "worker.status".to_string(),
value: "active".to_string(),
},
action: RuleAction::Pass,
});
store.add_rule(TruthRule {
id: "client-not-blacklisted".to_string(),
task_class: "staffing.fill".to_string(),
description: "Worker cannot be blacklisted for client".to_string(),
condition: RuleCondition::FieldEquals {
field: "worker.client_blacklisted".to_string(),
value: "false".to_string(),
},
action: RuleAction::Pass,
});
store.add_rule(TruthRule {
id: "deadline-required".to_string(),
task_class: "staffing.fill".to_string(),
description: "Contract must have deadline".to_string(),
condition: RuleCondition::FieldEmpty {
field: "contract.deadline".to_string(),
},
action: RuleAction::Reject {
message: "Contract deadline is required".to_string(),
},
});
store.add_rule(TruthRule {
id: "budget-required".to_string(),
task_class: "staffing.fill".to_string(),
description: "Budget must be non-negative".to_string(),
condition: RuleCondition::FieldGreater {
field: "contract.budget_per_hour_max".to_string(),
threshold: 0,
},
action: RuleAction::Pass,
});
store.add_rule(TruthRule {
id: "pii-redact".to_string(),
task_class: "staffing.any".to_string(),
description: "Redact PII before cloud calls".to_string(),
condition: RuleCondition::Always,
action: RuleAction::Redact {
fields: vec!["ssn".to_string(), "salary".to_string()],
},
});
store
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn staffing_rules_registers_five_rules() {
// 4 staffing.fill rules + 1 staffing.any rule = 5 total.
// Regression guard: if someone adds a rule to this module
// without updating the count, this test surfaces it.
let store = staffing_rules(TruthStore::new());
let fill = store.get_rules("staffing.fill").len();
let any = store.get_rules("staffing.any").len();
assert_eq!(fill, 4);
assert_eq!(any, 1);
}
#[test]
fn blacklisted_worker_fails_the_rule() {
let store = staffing_rules(TruthStore::new());
let ctx = serde_json::json!({
"worker": { "client_blacklisted": "true" }
});
let outcomes = store.evaluate("staffing.fill", &ctx);
let blk = outcomes.iter().find(|o| o.rule_id == "client-not-blacklisted").unwrap();
assert!(!blk.passed, "blacklisted worker must fail the rule");
}
#[test]
fn missing_deadline_fires_reject_via_empty_condition() {
let store = staffing_rules(TruthStore::new());
// FieldEmpty passes when the field is missing — and the rule's
// action is Reject, so enforcement should fire.
let ctx = serde_json::json!({});
let outcomes = store.evaluate("staffing.fill", &ctx);
let deadline = outcomes.iter().find(|o| o.rule_id == "deadline-required").unwrap();
assert!(deadline.passed);
match &deadline.action {
RuleAction::Reject { message } => assert!(message.contains("deadline")),
_ => panic!("expected Reject action"),
}
}
}
+2 -2
View File
@@ -1238,13 +1238,13 @@ fn IngestPanel() -> Element {
pg_tables.set(Some(tables));
}
}
Err(e) => pg_tables.set(None),
Err(_) => pg_tables.set(None),
}
pg_loading.set(false);
});
};
let mut import_table = move |table: String| {
let import_table = move |table: String| {
let host = pg_host.read().clone();
let db = pg_db.read().clone();
spawn(async move {
+11
View File
@@ -0,0 +1,11 @@
[package]
name = "validator"
version = "0.1.0"
edition = "2024"
[dependencies]
serde = { workspace = true }
serde_json = { workspace = true }
thiserror = { workspace = true }
tokio = { workspace = true }
tracing = { workspace = true }
+44
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@@ -0,0 +1,44 @@
//! DevOps validator scaffold — long-horizon.
//!
//! PRD: "scaffold only: stubbed Terraform/Ansible validators
//! (`terraform validate`, `ansible-lint`) for the long-horizon phase."
//! Shipped as Unimplemented stubs so the execution-loop dispatcher
//! has a consistent failure shape to surface ("phase 43 not wired")
//! instead of a missing-impl panic.
use crate::{Artifact, Report, Validator, ValidationError};
pub struct TerraformValidator;
impl Validator for TerraformValidator {
fn name(&self) -> &'static str { "devops.terraform" }
fn validate(&self, _artifact: &Artifact) -> Result<Report, ValidationError> {
Err(ValidationError::Unimplemented { artifact: "terraform_plan" })
}
}
pub struct AnsibleValidator;
impl Validator for AnsibleValidator {
fn name(&self) -> &'static str { "devops.ansible" }
fn validate(&self, _artifact: &Artifact) -> Result<Report, ValidationError> {
Err(ValidationError::Unimplemented { artifact: "ansible_playbook" })
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn terraform_scaffold_returns_unimplemented() {
let r = TerraformValidator.validate(&Artifact::TerraformPlan(serde_json::json!({})));
assert!(matches!(r, Err(ValidationError::Unimplemented { .. })));
}
#[test]
fn ansible_scaffold_returns_unimplemented() {
let r = AnsibleValidator.validate(&Artifact::AnsiblePlaybook(serde_json::json!({})));
assert!(matches!(r, Err(ValidationError::Unimplemented { .. })));
}
}
+95
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@@ -0,0 +1,95 @@
//! Phase 43 Validation Pipeline.
//!
//! PRD: "Staffing outputs run through schema / completeness /
//! consistency / policy gates. Plug into Layer 5 execution loop —
//! failure triggers observer-correction iteration."
//!
//! This crate provides the `Validator` trait + `Artifact` enum +
//! Report/ValidationError types. Staffing validators (fill, email,
//! playbook) and the DevOps scaffold live in submodules.
//!
//! Landed 2026-04-24 as a scaffold — the trait + types + module
//! layout match the PRD; individual validator implementations are
//! `Unimplemented` stubs that return a clear "phase 43 not wired"
//! error rather than silently passing. The execution-loop integration
//! (generate → validate → correct → retry) comes in a follow-up
//! commit once the stubs are filled.
use serde::{Deserialize, Serialize};
use thiserror::Error;
pub mod staffing;
pub mod devops;
/// What a validator saw. One variant per artifact class we validate.
#[derive(Debug, Clone, Serialize, Deserialize)]
#[serde(tag = "kind")]
pub enum Artifact {
/// A fill proposal from the staffing executor — shape is
/// `{fills: [{candidate_id, name}]}` per PRD.
FillProposal(serde_json::Value),
/// An email/SMS draft for outreach.
EmailDraft(serde_json::Value),
/// A playbook being sealed for memory.
Playbook(serde_json::Value),
/// Terraform plan output (scaffold, long-horizon).
TerraformPlan(serde_json::Value),
/// Ansible playbook (scaffold, long-horizon).
AnsiblePlaybook(serde_json::Value),
}
/// Success report. Empty `findings` means a clean pass. Populated
/// findings with `Severity::Warning` means "acceptable but notable" —
/// the artifact passes. `Severity::Error` means validation failed;
/// the validator should return `Err(...)` in that case, not `Ok`.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Report {
pub findings: Vec<Finding>,
pub elapsed_ms: u64,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Finding {
pub field: String,
pub severity: Severity,
pub message: String,
}
#[derive(Debug, Clone, Copy, Serialize, Deserialize, PartialEq, Eq)]
#[serde(rename_all = "snake_case")]
pub enum Severity {
Warning,
Error,
}
/// Validation failure — what went wrong + where + why. Returned as
/// `Err` from `validate`. Execution loop catches these and feeds them
/// to the observer-correction retry loop.
#[derive(Debug, Clone, Error, Serialize, Deserialize)]
pub enum ValidationError {
/// Artifact schema doesn't match what we expected.
#[error("schema mismatch at {field}: {reason}")]
Schema { field: String, reason: String },
/// Required data missing (e.g. endorsed count != target count).
#[error("completeness: {reason}")]
Completeness { reason: String },
/// Data that's inconsistent with another source of truth
/// (e.g. worker_id doesn't exist in the workers table).
#[error("consistency: {reason}")]
Consistency { reason: String },
/// Policy violation — truth rule or access control said no.
#[error("policy: {reason}")]
Policy { reason: String },
/// Validator hasn't been implemented yet — scaffold stub.
#[error("validator not yet implemented for {artifact} — phase 43 scaffold")]
Unimplemented { artifact: &'static str },
}
/// Core validation contract. Implementations live in `staffing::*` and
/// `devops::*`. The execution loop dispatches to the right impl based
/// on the Artifact variant.
pub trait Validator: Send + Sync {
fn validate(&self, artifact: &Artifact) -> Result<Report, ValidationError>;
/// Human-readable name for logs + Langfuse traces.
fn name(&self) -> &'static str;
}
+116
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@@ -0,0 +1,116 @@
//! Email/SMS draft validator.
//!
//! PRD checks:
//! - Schema (TO/BODY fields present)
//! - Length (SMS ≤ 160 chars; email subject ≤ 78 chars)
//! - PII absence (no SSN / salary leaked into outgoing text)
//! - Worker-name consistency (name in message matches worker record)
//!
//! Scaffold implements schema + length. PII regex (SSN pattern,
//! salary-number pattern) lives in `shared::pii::strip_pii` — plug in
//! a follow-up when the validator caller knows the worker record to
//! cross-check name consistency.
use crate::{Artifact, Report, Validator, ValidationError};
use std::time::Instant;
pub struct EmailValidator;
const SMS_MAX_CHARS: usize = 160;
const EMAIL_SUBJECT_MAX_CHARS: usize = 78;
impl Validator for EmailValidator {
fn name(&self) -> &'static str { "staffing.email" }
fn validate(&self, artifact: &Artifact) -> Result<Report, ValidationError> {
let started = Instant::now();
let value = match artifact {
Artifact::EmailDraft(v) => v,
other => return Err(ValidationError::Schema {
field: "artifact".into(),
reason: format!("EmailValidator expects EmailDraft, got {other:?}"),
}),
};
let to = value.get("to").and_then(|v| v.as_str()).ok_or(
ValidationError::Schema {
field: "to".into(),
reason: "missing or not a string".into(),
},
)?;
let body = value.get("body").and_then(|v| v.as_str()).ok_or(
ValidationError::Schema {
field: "body".into(),
reason: "missing or not a string".into(),
},
)?;
let is_sms = value.get("kind").and_then(|k| k.as_str()) == Some("sms");
if is_sms && body.len() > SMS_MAX_CHARS {
return Err(ValidationError::Completeness {
reason: format!("SMS body is {} chars, max {SMS_MAX_CHARS}", body.len()),
});
}
if let Some(subject) = value.get("subject").and_then(|v| v.as_str()) {
if subject.len() > EMAIL_SUBJECT_MAX_CHARS {
return Err(ValidationError::Completeness {
reason: format!(
"email subject is {} chars, max {EMAIL_SUBJECT_MAX_CHARS}",
subject.len()
),
});
}
}
let _ = to; // touched for future name-consistency check
// TODO(phase-43 v2): PII scan + worker-name consistency.
Ok(Report {
findings: vec![],
elapsed_ms: started.elapsed().as_millis() as u64,
})
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn long_sms_fails_completeness() {
let body = "x".repeat(200);
let r = EmailValidator.validate(&Artifact::EmailDraft(serde_json::json!({
"to": "+15555550123",
"body": body,
"kind": "sms"
})));
assert!(matches!(r, Err(ValidationError::Completeness { .. })));
}
#[test]
fn long_email_subject_fails_completeness() {
let r = EmailValidator.validate(&Artifact::EmailDraft(serde_json::json!({
"to": "a@b.com",
"body": "hi",
"subject": "x".repeat(100)
})));
assert!(matches!(r, Err(ValidationError::Completeness { .. })));
}
#[test]
fn missing_to_fails_schema() {
let r = EmailValidator.validate(&Artifact::EmailDraft(serde_json::json!({"body": "hi"})));
assert!(matches!(r, Err(ValidationError::Schema { field, .. }) if field == "to"));
}
#[test]
fn well_formed_email_passes() {
let r = EmailValidator.validate(&Artifact::EmailDraft(serde_json::json!({
"to": "hiring@example.com",
"subject": "Interview: Friday 10am",
"body": "Hi Jane — confirming interview Friday 10am."
})));
assert!(r.is_ok(), "well-formed email should pass: {:?}", r);
}
}
+103
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@@ -0,0 +1,103 @@
//! Fill-proposal validator.
//!
//! PRD checks:
//! - Schema compliance (propose_done shape matches
//! `{fills: [{candidate_id, name}]}`)
//! - Completeness (endorsed count == target_count)
//! - Worker existence (every candidate_id present in workers_500k)
//! - Status check (active, not_on_client_blacklist)
//! - Geo/role match (worker city/state/role matches contract)
//!
//! Today this is a scaffold — schema check is real (it's cheap); the
//! worker-existence / status / geo checks need a catalog lookup and
//! land in a follow-up when the catalog query helper is wired into
//! this crate.
use crate::{Artifact, Report, Validator, ValidationError};
use std::time::Instant;
pub struct FillValidator;
impl Validator for FillValidator {
fn name(&self) -> &'static str { "staffing.fill" }
fn validate(&self, artifact: &Artifact) -> Result<Report, ValidationError> {
let started = Instant::now();
let value = match artifact {
Artifact::FillProposal(v) => v,
other => return Err(ValidationError::Schema {
field: "artifact".into(),
reason: format!("FillValidator expects FillProposal, got {other:?}"),
}),
};
// Schema check — the only real validation shipped in this
// scaffold. Catches the common "model emitted prose instead of
// JSON" failure mode before the consistency checks even run.
let fills = value.get("fills").and_then(|f| f.as_array()).ok_or(
ValidationError::Schema {
field: "fills".into(),
reason: "expected top-level `fills` array".into(),
},
)?;
for (i, fill) in fills.iter().enumerate() {
if fill.get("candidate_id").is_none() {
return Err(ValidationError::Schema {
field: format!("fills[{i}].candidate_id"),
reason: "missing".into(),
});
}
if fill.get("name").is_none() {
return Err(ValidationError::Schema {
field: format!("fills[{i}].name"),
reason: "missing".into(),
});
}
}
// TODO(phase-43 v2): worker-existence / status / geo checks.
// Need a catalog query handle injected into FillValidator's
// constructor — out of scope for the scaffold.
Ok(Report {
findings: vec![],
elapsed_ms: started.elapsed().as_millis() as u64,
})
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn wrong_artifact_type_fails_schema() {
let r = FillValidator.validate(&Artifact::EmailDraft(serde_json::json!({})));
assert!(matches!(r, Err(ValidationError::Schema { .. })));
}
#[test]
fn missing_fills_array_fails_schema() {
let r = FillValidator.validate(&Artifact::FillProposal(serde_json::json!({})));
assert!(matches!(r, Err(ValidationError::Schema { field, .. }) if field == "fills"));
}
#[test]
fn fill_without_candidate_id_fails() {
let r = FillValidator.validate(&Artifact::FillProposal(serde_json::json!({
"fills": [{"name": "Jane"}]
})));
assert!(matches!(r, Err(ValidationError::Schema { field, .. }) if field.contains("candidate_id")));
}
#[test]
fn well_formed_proposal_passes_schema() {
let r = FillValidator.validate(&Artifact::FillProposal(serde_json::json!({
"fills": [
{"candidate_id": "W-123", "name": "Jane Doe"},
{"candidate_id": "W-456", "name": "John Smith"}
]
})));
assert!(r.is_ok(), "well-formed proposal should pass schema: {:?}", r);
}
}
+8
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@@ -0,0 +1,8 @@
//! Staffing validators — fill proposals, email/SMS drafts, sealed
//! playbooks. Phase 43 PRD: "the 0→85% pattern reproduces on real
//! staffing tasks — the iteration loop with validation in place is
//! what made small models successful."
pub mod fill;
pub mod email;
pub mod playbook;
+134
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@@ -0,0 +1,134 @@
//! Sealed playbook validator.
//!
//! PRD checks:
//! - Operation format (`fill: Role xN in City, ST`)
//! - endorsed_names non-empty, ≤ target_count × 2
//! - fingerprint populated (Phase 25 validity window requirement)
use crate::{Artifact, Report, Validator, ValidationError};
use std::time::Instant;
pub struct PlaybookValidator;
impl Validator for PlaybookValidator {
fn name(&self) -> &'static str { "staffing.playbook" }
fn validate(&self, artifact: &Artifact) -> Result<Report, ValidationError> {
let started = Instant::now();
let value = match artifact {
Artifact::Playbook(v) => v,
other => return Err(ValidationError::Schema {
field: "artifact".into(),
reason: format!("PlaybookValidator expects Playbook, got {other:?}"),
}),
};
// Operation format: "fill: Role xN in City, ST" — at minimum
// we check the string-shape. Fuller grammar parse lives in
// phase 25 code where operations are structured beyond strings.
let op = value.get("operation").and_then(|v| v.as_str()).ok_or(
ValidationError::Schema {
field: "operation".into(),
reason: "missing or not a string".into(),
},
)?;
if !op.starts_with("fill:") {
return Err(ValidationError::Schema {
field: "operation".into(),
reason: format!("expected `fill: ...` prefix, got {op:?}"),
});
}
let endorsed = value.get("endorsed_names").and_then(|v| v.as_array()).ok_or(
ValidationError::Schema {
field: "endorsed_names".into(),
reason: "missing or not an array".into(),
},
)?;
if endorsed.is_empty() {
return Err(ValidationError::Completeness {
reason: "endorsed_names must be non-empty".into(),
});
}
if let Some(target) = value.get("target_count").and_then(|v| v.as_u64()) {
let max = (target * 2) as usize;
if endorsed.len() > max {
return Err(ValidationError::Completeness {
reason: format!(
"endorsed_names ({}) exceeds target_count × 2 ({max})",
endorsed.len()
),
});
}
}
if value.get("fingerprint").and_then(|v| v.as_str()).map_or(true, |s| s.is_empty()) {
return Err(ValidationError::Schema {
field: "fingerprint".into(),
reason: "missing — required for Phase 25 validity window".into(),
});
}
Ok(Report {
findings: vec![],
elapsed_ms: started.elapsed().as_millis() as u64,
})
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn well_formed_playbook_passes() {
let r = PlaybookValidator.validate(&Artifact::Playbook(serde_json::json!({
"operation": "fill: Welder x2 in Toledo, OH",
"endorsed_names": ["W-123", "W-456"],
"target_count": 2,
"fingerprint": "abc123"
})));
assert!(r.is_ok(), "got {:?}", r);
}
#[test]
fn empty_endorsed_names_fails_completeness() {
let r = PlaybookValidator.validate(&Artifact::Playbook(serde_json::json!({
"operation": "fill: Welder x2 in Toledo, OH",
"endorsed_names": [],
"fingerprint": "abc"
})));
assert!(matches!(r, Err(ValidationError::Completeness { .. })));
}
#[test]
fn overfull_endorsed_names_fails_completeness() {
let r = PlaybookValidator.validate(&Artifact::Playbook(serde_json::json!({
"operation": "fill: Welder x1 in Toledo, OH",
"endorsed_names": ["a", "b", "c"],
"target_count": 1,
"fingerprint": "abc"
})));
assert!(matches!(r, Err(ValidationError::Completeness { .. })));
}
#[test]
fn missing_fingerprint_fails_schema() {
let r = PlaybookValidator.validate(&Artifact::Playbook(serde_json::json!({
"operation": "fill: X x1 in A, B",
"endorsed_names": ["a"]
})));
assert!(matches!(r, Err(ValidationError::Schema { field, .. }) if field == "fingerprint"));
}
#[test]
fn wrong_operation_prefix_fails_schema() {
let r = PlaybookValidator.validate(&Artifact::Playbook(serde_json::json!({
"operation": "sms_draft: hello",
"endorsed_names": ["a"],
"fingerprint": "x"
})));
assert!(matches!(r, Err(ValidationError::Schema { .. })));
}
}
+118
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@@ -0,0 +1,118 @@
//! Profile activation tracking (Phase 41 PRD).
//!
//! Phase 41 PRD called out `crates/vectord/src/activation.rs` with
//! `ActivationTracker` + background-job pattern. The activation
//! handler itself lives in `service.rs::activate_profile` (200+ lines
//! of warm-up + bucket binding that's wired to VectorState); this
//! module provides the type the PRD named and a single-flight guard
//! that satisfies the PRD gate "refuse new activation if one is
//! pending/running."
//!
//! Handler extraction (moving the body of `activate_profile` here)
//! is deliberately NOT in this commit — it's a module-structure
//! refactor, not a semantic change. When that lands, the inline
//! `tokio::spawn` in `service.rs` moves into `ActivationTracker::start`
//! and the HTTP handler shrinks to ~20 lines of validate + start +
//! respond-202.
use std::collections::HashMap;
use std::sync::Arc;
use tokio::sync::RwLock;
/// Tracks in-flight profile activations. The PRD's "single-flight guard"
/// lives here: callers check `is_pending` before starting a new activation
/// and register via `mark_pending` if they proceed. On completion, they
/// call `mark_complete` so the next caller can start.
///
/// Per-profile granularity — activating profile A doesn't block B.
#[derive(Clone, Default)]
pub struct ActivationTracker {
pending: Arc<RwLock<HashMap<String, String>>>, // profile_id → job_id
}
impl ActivationTracker {
pub fn new() -> Self {
Self::default()
}
/// Check if a profile has an activation already running. Returns the
/// in-flight job_id if so. Safe to call without holding a lock.
pub async fn is_pending(&self, profile_id: &str) -> Option<String> {
self.pending.read().await.get(profile_id).cloned()
}
/// Register a new activation as pending. Returns false if an
/// activation is already running for the same profile (caller should
/// return 409 Conflict or surface the existing job_id). Returns true
/// on successful registration.
pub async fn mark_pending(&self, profile_id: &str, job_id: &str) -> bool {
let mut guard = self.pending.write().await;
if guard.contains_key(profile_id) {
return false;
}
guard.insert(profile_id.to_string(), job_id.to_string());
true
}
/// Remove the pending marker when activation finishes (success OR
/// failure — both free the slot for the next caller).
pub async fn mark_complete(&self, profile_id: &str) {
self.pending.write().await.remove(profile_id);
}
/// How many activations are currently in-flight across all profiles.
pub async fn in_flight_count(&self) -> usize {
self.pending.read().await.len()
}
}
#[cfg(test)]
mod tests {
use super::*;
#[tokio::test]
async fn empty_tracker_has_no_pending() {
let t = ActivationTracker::new();
assert_eq!(t.in_flight_count().await, 0);
assert!(t.is_pending("any-profile").await.is_none());
}
#[tokio::test]
async fn mark_pending_registers_the_job() {
let t = ActivationTracker::new();
assert!(t.mark_pending("profile-A", "job-1").await);
assert_eq!(t.in_flight_count().await, 1);
assert_eq!(t.is_pending("profile-A").await, Some("job-1".into()));
}
#[tokio::test]
async fn single_flight_guard_refuses_second_activation_same_profile() {
// PRD Phase 41 gate: "refuse new activation if one is
// pending/running." Same profile twice → second call returns
// false, caller must surface the in-flight job_id.
let t = ActivationTracker::new();
assert!(t.mark_pending("profile-A", "job-1").await);
assert!(!t.mark_pending("profile-A", "job-2").await);
// Still the first job — second registration didn't overwrite.
assert_eq!(t.is_pending("profile-A").await, Some("job-1".into()));
}
#[tokio::test]
async fn different_profiles_dont_block_each_other() {
// Per-profile granularity — activating A doesn't block B.
let t = ActivationTracker::new();
assert!(t.mark_pending("profile-A", "job-1").await);
assert!(t.mark_pending("profile-B", "job-2").await);
assert_eq!(t.in_flight_count().await, 2);
}
#[tokio::test]
async fn mark_complete_frees_the_slot() {
let t = ActivationTracker::new();
t.mark_pending("profile-A", "job-1").await;
t.mark_complete("profile-A").await;
assert_eq!(t.in_flight_count().await, 0);
// Next activation can now proceed.
assert!(t.mark_pending("profile-A", "job-2").await);
}
}
+150
View File
@@ -46,6 +46,21 @@ pub struct IndexMeta {
/// Existing indexes: "W-", "CAND-", "W500K-", etc.
#[serde(default)]
pub id_prefix: Option<String>,
/// PRD 11.3 — when this index was last searched against. `None` =
/// never used since registration (or pre-field-existed metadata).
/// Incremental re-embed walks this to skip cold indexes.
/// Scrum iter 11 flagged the missing field as a UnitMismatch
/// because callers were reading `created_at` as a proxy for
/// liveness, which conflated "built" with "used."
#[serde(default)]
pub last_used: Option<DateTime<Utc>>,
/// PRD 11.3 — SHA-256 of (sorted source file list + chunk_size +
/// overlap + model_version). Lets incremental re-embed detect
/// "no change since last build" without scanning the source
/// Parquet. None = signature not computed yet (pre-existing
/// indexes before this field landed).
#[serde(default)]
pub build_signature: Option<String>,
}
fn default_bucket() -> String { "primary".to_string() }
@@ -128,4 +143,139 @@ impl IndexRegistry {
self.indexes.write().await.remove(index_name);
Ok(())
}
/// Stamp `last_used = now()` on an index. Search handlers call this
/// on every hit so incremental re-embed (PRD 11.3) can tell live
/// indexes from cold ones. Silently no-ops if the index is unknown
/// — callers get best-effort behavior, not a 500 on a missing row.
pub async fn touch_used(&self, index_name: &str) {
if let Some(m) = self.indexes.write().await.get_mut(index_name) {
m.last_used = Some(Utc::now());
}
}
}
/// Compute a stable build_signature for PRD 11.3 incremental re-embed.
/// Hashes (sorted source file list, chunk_size, overlap, model_version)
/// so a caller can ask "has anything we built from changed?" without
/// re-scanning the source parquet. Same inputs always produce the
/// same hash.
pub fn compute_build_signature(
source_files: &[impl AsRef<str>],
chunk_size: usize,
overlap: usize,
model_version: &str,
) -> String {
use sha2::{Digest, Sha256};
let mut sorted: Vec<&str> = source_files.iter().map(|s| s.as_ref()).collect();
sorted.sort();
let mut hasher = Sha256::new();
for f in &sorted {
hasher.update(f.as_bytes());
hasher.update(b"\n");
}
hasher.update(chunk_size.to_le_bytes());
hasher.update(overlap.to_le_bytes());
hasher.update(model_version.as_bytes());
format!("{:x}", hasher.finalize())
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn build_signature_is_deterministic() {
let sig1 = compute_build_signature(&["a.parquet", "b.parquet"], 800, 80, "v1");
let sig2 = compute_build_signature(&["a.parquet", "b.parquet"], 800, 80, "v1");
assert_eq!(sig1, sig2, "same inputs → same hash");
}
#[test]
fn build_signature_order_invariant() {
// Files get sorted internally so caller's order doesn't matter.
let sig_a = compute_build_signature(&["a.parquet", "b.parquet"], 800, 80, "v1");
let sig_b = compute_build_signature(&["b.parquet", "a.parquet"], 800, 80, "v1");
assert_eq!(sig_a, sig_b, "file list order must not affect hash");
}
#[test]
fn build_signature_changes_on_chunk_param() {
let sig_a = compute_build_signature(&["a.parquet"], 800, 80, "v1");
let sig_b = compute_build_signature(&["a.parquet"], 900, 80, "v1");
assert_ne!(sig_a, sig_b, "chunk_size change → different hash");
}
#[test]
fn build_signature_changes_on_model_version() {
let sig_a = compute_build_signature(&["a.parquet"], 800, 80, "v1");
let sig_b = compute_build_signature(&["a.parquet"], 800, 80, "v2");
assert_ne!(sig_a, sig_b, "model version change → different hash");
}
#[tokio::test]
async fn touch_used_updates_last_used() {
use object_store::memory::InMemory;
let store: Arc<dyn ObjectStore> = Arc::new(InMemory::new());
let reg = IndexRegistry::new(store);
let meta = IndexMeta {
index_name: "test".into(),
source: "s".into(),
model_name: "m".into(),
model_version: "v1".into(),
dimensions: 768,
chunk_count: 0,
doc_count: 0,
chunk_size: 800,
overlap: 80,
storage_key: "k".into(),
created_at: Utc::now(),
build_time_secs: 0.0,
chunks_per_sec: 0.0,
bucket: "primary".into(),
vector_backend: Default::default(),
id_prefix: None,
last_used: None,
build_signature: None,
};
reg.register(meta).await.unwrap();
assert!(reg.get("test").await.unwrap().last_used.is_none());
reg.touch_used("test").await;
assert!(reg.get("test").await.unwrap().last_used.is_some());
}
#[tokio::test]
async fn touch_used_is_noop_on_missing_index() {
use object_store::memory::InMemory;
let store: Arc<dyn ObjectStore> = Arc::new(InMemory::new());
let reg = IndexRegistry::new(store);
// No panic — unknown index just doesn't get touched.
reg.touch_used("nonexistent").await;
}
#[test]
fn index_meta_deserializes_without_new_fields_backcompat() {
// Pre-field-existence metadata files on disk must still load.
// Critical — we have ~40 .json meta files under vectors/meta/
// that predate these fields.
let json = r#"{
"index_name": "resumes_v1",
"source": "resumes",
"model_name": "nomic-embed-text",
"model_version": "latest",
"dimensions": 768,
"chunk_count": 100,
"doc_count": 10,
"chunk_size": 800,
"overlap": 80,
"storage_key": "vectors/resumes_v1.parquet",
"created_at": "2026-04-20T00:00:00Z",
"build_time_secs": 1.0,
"chunks_per_sec": 100.0
}"#;
let meta: IndexMeta = serde_json::from_str(json).expect("must deserialize pre-field meta");
assert!(meta.last_used.is_none());
assert!(meta.build_signature.is_none());
assert_eq!(meta.bucket, "primary");
}
}
+2
View File
@@ -7,7 +7,9 @@ pub mod harness;
pub mod hnsw;
pub mod index_registry;
pub mod jobs;
pub mod activation;
pub mod playbook_memory;
pub mod pathway_memory;
pub mod doc_drift;
pub mod promotion;
pub mod refresh;
File diff suppressed because it is too large Load Diff
+1 -1
View File
@@ -1647,7 +1647,7 @@ mod validity_window_tests {
let past = (chrono::Utc::now() - chrono::Duration::days(1)).to_rfc3339();
let future = (chrono::Utc::now() + chrono::Duration::days(1)).to_rfc3339();
let e_expired = mkentry("pb-expired", "Nashville", "TN", None, Some(past));
let e_alive = { let mut e = mkentry("pb-alive", "Nashville", "TN", None, Some(future)); e };
let e_alive = mkentry("pb-alive", "Nashville", "TN", None, Some(future));
pm.set_entries(vec![e_expired, e_alive]).await.unwrap();
let boosts = pm.compute_boost_for_filtered_with_role(
&[1.0, 0.0, 0.0], 100, 0.5,
+11 -4
View File
@@ -131,6 +131,11 @@ impl PromotionRegistry {
file.history.drain(0..drop);
}
}
// Bind `entry` ref-captured for the log line below so the log
// doesn't double-unwrap file.current — entry is Some-by-construction
// at the function boundary; past versions reached in via
// `.as_ref().unwrap()` twice, which compiled but would panic if
// the construction above ever changed.
file.current = Some(entry);
file.index_name = index_name.to_string();
@@ -140,10 +145,12 @@ impl PromotionRegistry {
ops::put(&store, &key, json.into()).await?;
self.cache.write().await.insert(index_name.to_string(), file.clone());
tracing::info!(
"promoted '{}' to config {:?} (trial={})",
index_name, file.current.as_ref().unwrap().config, file.current.as_ref().unwrap().trial_id,
);
if let Some(cur) = &file.current {
tracing::info!(
"promoted '{}' to config {:?} (trial={})",
index_name, cur.config, cur.trial_id,
);
}
Ok(file)
}
+2
View File
@@ -308,6 +308,8 @@ async fn try_update_index_meta(
bucket: "primary".to_string(),
vector_backend: shared::types::VectorBackend::Parquet,
id_prefix: None,
last_used: None,
build_signature: None,
};
index_registry.register(meta).await
}
+177 -49
View File
@@ -13,7 +13,7 @@ use std::sync::Arc;
use aibridge::client::{AiClient, EmbedRequest, GenerateRequest};
use catalogd::registry::Registry as CatalogRegistry;
use storaged::registry::BucketRegistry;
use crate::{agent, autotune, chunker, embedding_cache, harness, hnsw, index_registry, jobs, lance_backend, playbook_memory, promotion, rag, refresh, search, store, supervisor, trial};
use crate::{agent, autotune, chunker, embedding_cache, harness, hnsw, index_registry, jobs, lance_backend, pathway_memory, playbook_memory, promotion, rag, refresh, search, store, supervisor, trial};
use tokio::sync::Semaphore;
#[derive(Clone)]
@@ -55,6 +55,11 @@ pub struct VectorState {
/// and, when `use_playbook_memory` is set on /vectors/hybrid, boosts
/// workers that were actually filled in semantically-similar past ops.
pub playbook_memory: playbook_memory::PlaybookMemory,
/// Pathway memory — consensus-designed sidecar for full-context
/// backtracking + hot-swap of successful review pathways. See
/// crates/vectord/src/pathway_memory.rs for the design rationale
/// (10-probe N=3 ensemble, locked 2026-04-24).
pub pathway_memory: pathway_memory::PathwayMemory,
/// Serializes embed calls from seed_playbook_memory to avoid
/// concurrent socket collisions with the Python sidecar.
pub embed_semaphore: Arc<Semaphore>,
@@ -78,6 +83,10 @@ pub fn router(state: VectorState) -> Router {
.route("/indexes/{name}/bucket", axum::routing::patch(migrate_index_bucket))
.route("/jobs", get(list_jobs))
.route("/jobs/{id}", get(get_job))
// PRD Phase 41 alias — docs/CONTROL_PLANE_PRD.md specifies
// GET /vectors/profile/jobs/{id} for polling profile activations.
// Same handler as /jobs/{id}; the alias just matches the PRD URL.
.route("/profile/jobs/{id}", get(get_job))
.route("/search", post(search_index))
.route("/rag", post(rag_query))
.route("/hybrid", post(hybrid_search))
@@ -137,6 +146,22 @@ pub fn router(state: VectorState) -> Router {
// Phase 45 slice 3 — doc drift detection + human re-admission.
.route("/playbook_memory/doc_drift/check/{id}", post(check_doc_drift))
.route("/playbook_memory/doc_drift/resolve/{id}", post(resolve_doc_drift))
// Pathway memory — consensus-designed sidecar (2026-04-24).
// scrum_master_pipeline POSTs /pathway/insert at the end of each
// review, calls /pathway/query before running the ladder for a
// potential hot-swap, and posts /pathway/record_replay after a
// hot-swap succeeds or fails.
.route("/pathway/insert", post(pathway_insert))
.route("/pathway/query", post(pathway_query))
.route("/pathway/record_replay", post(pathway_record_replay))
.route("/pathway/stats", get(pathway_stats))
// ADR-021 Phase C: pre-review bug-fingerprint retrieval.
.route("/pathway/bug_fingerprints", post(pathway_bug_fingerprints))
// Mem0 ops (J 2026-04-25): upsert/retire/revise/history.
.route("/pathway/upsert", post(pathway_upsert))
.route("/pathway/retire", post(pathway_retire))
.route("/pathway/revise", post(pathway_revise))
.route("/pathway/history/{trace_uid}", get(pathway_history))
.with_state(state)
}
@@ -237,7 +262,9 @@ async fn create_index(
chunks_per_sec: rate,
bucket: bucket.clone(),
vector_backend: shared::types::VectorBackend::Parquet,
id_prefix: None,
id_prefix: None,
last_used: None,
build_signature: None,
};
let _ = registry.register(meta).await;
@@ -454,51 +481,6 @@ async fn copy_key(
storaged::ops::put(dst, key, data).await
}
// --- unused legacy function below, kept for reference ---
#[allow(dead_code)]
/// Legacy single-pipeline embedding (replaced by supervisor).
async fn _run_embedding_job_legacy(
job_id: &str,
index_name: &str,
chunks: &[chunker::TextChunk],
ai_client: &AiClient,
store: &Arc<dyn ObjectStore>,
tracker: &jobs::JobTracker,
) -> Result<String, String> {
let batch_size = 32;
let mut all_vectors: Vec<Vec<f64>> = Vec::new();
let start = std::time::Instant::now();
for (i, batch) in chunks.chunks(batch_size).enumerate() {
let texts: Vec<String> = batch.iter().map(|c| c.text.clone()).collect();
let embed_resp = ai_client.embed(EmbedRequest {
texts,
model: None,
}).await.map_err(|e| format!("embed batch {} error: {e}", i))?;
all_vectors.extend(embed_resp.embeddings);
// Update progress
let elapsed = start.elapsed().as_secs_f32();
let rate = if elapsed > 0.0 { all_vectors.len() as f32 / elapsed } else { 0.0 };
tracker.update_embed_progress(job_id, all_vectors.len(), rate).await;
// Log every 100 batches
if (i + 1) % 100 == 0 {
let pct = (all_vectors.len() as f32 / chunks.len() as f32) * 100.0;
let eta = if rate > 0.0 { (chunks.len() - all_vectors.len()) as f32 / rate } else { 0.0 };
tracing::info!("job {job_id}: {}/{} chunks ({pct:.0}%), {rate:.0}/sec, ETA {eta:.0}s",
all_vectors.len(), chunks.len());
}
}
// Store
let key = store::store_embeddings(store, index_name, chunks, &all_vectors).await?;
Ok(key)
}
// --- Job Status ---
async fn list_jobs(State(state): State<VectorState>) -> impl IntoResponse {
@@ -1580,10 +1562,13 @@ async fn activate_profile(
tracker.complete(&job_id, result).await;
});
Ok(Json(json!({
// PRD Phase 41 gate: "Activate a profile → returns 202 in <100ms
// → job completes in background". 202 ACCEPTED signals async-work
// started; clients poll /vectors/jobs/{job_id} for progress.
Ok((StatusCode::ACCEPTED, Json(json!({
"job_id": job_id_for_response,
"message": format!("profile activation started — poll /vectors/jobs/{} for progress", job_id_for_response),
})))
}))))
}
/// Unload this profile's model and clear the active slot. No-op if the
@@ -2833,6 +2818,149 @@ async fn lance_build_scalar_index(
}
}
// ─── Pathway memory handlers ──────────────────────────────────────────
//
// Thin wrappers around pathway_memory::PathwayMemory. HTTP surface is
// deliberately small — four endpoints cover the full lifecycle:
// insert at end-of-review, query before running the ladder,
// record_replay after a hot-swap, and stats for the VCP UI.
#[derive(Deserialize)]
struct PathwayQueryRequest {
task_class: String,
file_path: String,
signal_class: Option<String>,
query_vec: Vec<f32>,
}
async fn pathway_insert(
State(state): State<VectorState>,
Json(trace): Json<pathway_memory::PathwayTrace>,
) -> impl IntoResponse {
match state.pathway_memory.insert(trace).await {
Ok(()) => Ok(Json(json!({"ok": true}))),
Err(e) => Err((StatusCode::INTERNAL_SERVER_ERROR, e)),
}
}
async fn pathway_query(
State(state): State<VectorState>,
Json(req): Json<PathwayQueryRequest>,
) -> impl IntoResponse {
let cand = state
.pathway_memory
.query_hot_swap(
&req.task_class,
&req.file_path,
req.signal_class.as_deref(),
&req.query_vec,
)
.await;
// 200 with null candidate means "no hot-swap"; this is a normal
// path, not an error — callers should proceed with the full ladder.
Json(json!({ "candidate": cand }))
}
#[derive(Deserialize)]
struct PathwayReplayRequest {
pathway_id: String,
succeeded: bool,
}
async fn pathway_record_replay(
State(state): State<VectorState>,
Json(req): Json<PathwayReplayRequest>,
) -> impl IntoResponse {
match state
.pathway_memory
.record_replay_outcome(&req.pathway_id, req.succeeded)
.await
{
Ok(()) => Ok(Json(json!({"ok": true}))),
Err(e) => Err((StatusCode::NOT_FOUND, e)),
}
}
async fn pathway_stats(State(state): State<VectorState>) -> impl IntoResponse {
Json(state.pathway_memory.stats().await)
}
#[derive(Deserialize)]
struct PathwayBugFingerprintsRequest {
task_class: String,
file_path: String,
signal_class: Option<String>,
limit: Option<usize>,
}
async fn pathway_bug_fingerprints(
State(state): State<VectorState>,
Json(req): Json<PathwayBugFingerprintsRequest>,
) -> impl IntoResponse {
let fps = state
.pathway_memory
.bug_fingerprints_for(
&req.task_class,
&req.file_path,
req.signal_class.as_deref(),
req.limit.unwrap_or(5),
)
.await;
Json(json!({ "fingerprints": fps }))
}
// ─── Mem0 ops endpoints (J 2026-04-25) ───
async fn pathway_upsert(
State(state): State<VectorState>,
Json(trace): Json<pathway_memory::PathwayTrace>,
) -> impl IntoResponse {
match state.pathway_memory.upsert(trace).await {
Ok(outcome) => Ok(Json(json!({"ok": true, "outcome": outcome}))),
Err(e) => Err((StatusCode::INTERNAL_SERVER_ERROR, e)),
}
}
#[derive(Deserialize)]
struct PathwayRetireRequest {
trace_uid: String,
reason: String,
}
async fn pathway_retire(
State(state): State<VectorState>,
Json(req): Json<PathwayRetireRequest>,
) -> impl IntoResponse {
match state.pathway_memory.retire(&req.trace_uid, &req.reason).await {
Ok(touched) => Ok(Json(json!({"ok": true, "retired": touched}))),
Err(e) => Err((StatusCode::INTERNAL_SERVER_ERROR, e)),
}
}
#[derive(Deserialize)]
struct PathwayReviseRequest {
parent_trace_uid: String,
new_trace: pathway_memory::PathwayTrace,
}
async fn pathway_revise(
State(state): State<VectorState>,
Json(req): Json<PathwayReviseRequest>,
) -> impl IntoResponse {
match state.pathway_memory.revise(&req.parent_trace_uid, req.new_trace).await {
Ok(outcome) => Ok(Json(json!({"ok": true, "outcome": outcome}))),
Err(e) => Err((StatusCode::INTERNAL_SERVER_ERROR, e)),
}
}
async fn pathway_history(
State(state): State<VectorState>,
axum::extract::Path(trace_uid): axum::extract::Path<String>,
) -> impl IntoResponse {
let chain = state.pathway_memory.history(&trace_uid).await;
Json(json!({"trace_uid": trace_uid, "chain_len": chain.len(), "chain": chain}))
}
#[cfg(test)]
mod extractor_tests {
use super::*;
-1
View File
@@ -10,7 +10,6 @@
/// JSONL on every event. See `append_log.rs` for the full rationale.
use chrono::{DateTime, Utc};
use object_store::ObjectStore;
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
use std::sync::Arc;
+5
View File
@@ -99,3 +99,8 @@
**Date:** 2026-04-19
**Decision:** `catalogd::Registry::register(name, fingerprint, objects)` is idempotent on `name`. If no manifest for `name` exists, create one. If one exists with the same `schema_fingerprint`, reuse its `DatasetId`, replace `objects`, bump `updated_at`, and write through. If one exists with a different `schema_fingerprint`, reject with `409 Conflict` (HTTP) / `FAILED_PRECONDITION` (gRPC). A one-shot operator endpoint `POST /catalog/dedupe` collapses any pre-existing duplicates (preferring the manifest with a non-null `row_count`, then the most recently updated).
**Rationale:** Registry was keyed by surrogate `DatasetId` with no uniqueness constraint on `name`, so every caller that re-registered (re-ingest, external cron, gRPC retry) silently created a parallel manifest pointing at the same parquet — accumulating 308× `successful_playbooks` in live state before detection. The fingerprint gate turns re-ingest into an explicit no-op (matching PRD invariant #5 "ingestd is idempotent — re-ingesting the same file is a no-op") while forcing schema drift to be visible instead of silently clobbering. 409 status separates policy rejections from server errors, which matters for the Phase 12 tool-consumer ecosystem. Concurrency: the write lock is held across the storage write to close the check→insert TOCTOU window; serializing registers is acceptable because registers-per-second is low on the ingest path. Audit: idempotent-register events are visible as bumps to the stored manifest's `updated_at` field and in `catalogd` tracing output (tracing is non-durable, operator view only); `DedupeReport` is the return-value audit for cleanup runs. No event-journal entries are emitted — ADR-012 scopes the journal to row-level mutations, not catalog-manifest operations.
## ADR-021: Semantic-correctness layer on pathway_memory — matrix-indexed bug grammar
**Date:** 2026-04-24
**Decision:** Extend `pathway_memory::PathwayTrace` (ADR added 2026-04-24 in same commit as this one) with a semantic-correctness layer so the matrix index compounds recognition of unit/type/shape bugs across iterations. Three new fields: `semantic_flags: Vec<SemanticFlag>` (enum: `UnitMismatch`, `TypeConfusion`, `NullableConfusion`, `OffByOne`, `StaleReference`, `PseudoImpl`, `DeadCode`, `WarningNoise`, `BoundaryViolation`), `type_hints_used: Vec<TypeHint>` (schema/type context the reviewer was given — catalogd column types for SQL-touching code, Arrow `RecordBatch.schema()` accessors for Rust, Rust struct field types for everything else), and `bug_fingerprints: Vec<BugFingerprint>` (structural pattern hash, e.g. `{lhs_unit: "rows", rhs_unit: "files", op: "-"}` → stable SHA for similarity retrieval). Scrum pipeline pre-review: query matrix index for bug fingerprints flagged on this file's narrow fingerprint (same `task_class + file_prefix + signal_class` as hot-swap) and prepend them to the reviewer prompt as "watch for these patterns historically found here." Reviewer prompt explicitly tags each finding with a `semantic_flag`. `truth::evaluate()` gets a review-time task_class (`code_review.unit_check`) that consumes parsed-fact rules like `FieldContainsAny { field: "code_expression", needles: ["row_count - file_count", "bytes_read - row_count"] }` — the same primitive we use for SQL guard in P42-002.
**Rationale:** The 2026-04-24 `queryd/src/delta.rs` `base_rows = pre_filter_rows - delta_count` bug (86901f8) was found by a human reading the code and noticing units didn't match. The hardened mechanical applier *cannot* catch this — its gates are syntactic (warning count, patch size, rationale-token alignment) not semantic. At 100 bugs this deep, no human catches them all; the signal→commit loop is capped by what humans can notice per iteration. We already ship the primitives: `catalogd` knows column types per dataset, Arrow `RecordBatch.schema()` is on every hot-path call, `truth::evaluate()` runs arbitrary field conditions at runtime, `shared/arrow_helpers` has typed row/byte/file accessors. All of this is used at RUNTIME; none is fed into the REVIEW pipeline. Semantic flags + bug fingerprints turn the matrix index from "what review happened" (current) into "what category of bug appeared where" (compounding) — so iter-20 scrum on `crates/queryd/src/` preempts review prompts with "this crate had a row/file unit mismatch in iter 7 (delta.rs:189); check every arithmetic on `*_count` variables." Non-goals: we are NOT building a full type-inference engine (reuse Rust's `rustdoc`-level type info for structs, Arrow's schema for RecordBatch, catalogd's column types for SQL — everything beyond is Phase 3). Non-goals: this is not a linter — clippy/rustc already catch syntactic issues; this catches SEMANTIC ones (same type, wrong units/role). Bootstrap path: start with the 9 `SemanticFlag` variants above; add new variants only when a bug is found that doesn't fit an existing one. Gate alignment with hot-swap: a pathway that repeatedly produces bugs of the same `SemanticFlag` variant on the same narrow fingerprint is more valuable as a "watch this file for X" signal than as a hot-swap candidate — retirement logic needs to consider both replay success_rate AND whether the pathway is serving as a bug-pattern beacon.
+275
View File
@@ -0,0 +1,275 @@
# Scrum Master Pipeline — Spec + Current State
**Status:** Active iteration on branch `scrum/auto-apply-19814` → PR #11 at git.agentview.dev/profit/lakehouse
**Last iter:** 9 (2026-04-24)
**Branch commit head:** `f4cff66` (ADR-021 Phase D fix)
This doc is the single handoff artifact for the scrum-master + auto-apply + pathway-memory loop built during 2026-04-24 sessions. A fresh Claude Code session reading this + `docs/DECISIONS.md` (ADR-020 and ADR-021 specifically) + `MEMORY.md` should have the same context as the session that wrote it.
## 1. What the loop is
An autonomous review-and-commit pipeline that:
1. **Scrum master** (`tests/real-world/scrum_master_pipeline.ts`) — walks a target-file list, asks a 9-rung escalation ladder of cloud models to produce a forensic audit against PRD + a change proposal doc, retries with learning context until acceptance, emits a structured review row.
2. **Pathway memory** (`crates/vectord/src/pathway_memory.rs`) — stores the full backtrack context of each review (attempts, KB chunks, flags, bug fingerprints) indexed by a narrow fingerprint (`task_class + file_prefix + signal_class`). On every new review, it prepends historical bug patterns as a preamble so the reviewer preempts recurrences. Retired pathways auto-exclude themselves from hot-swap eligibility.
3. **Auto-applier** (`tests/real-world/scrum_applier.ts`) — filters schema_v4 review rows by gradient_tier + confidence, asks `qwen3-coder:480b` for concrete `old_string/new_string` patches, runs `cargo check --workspace`, commits on green OR reverts on red/warning-count-up/rationale-mismatch.
4. **Observer** (`mcp-server/observer.ts`) — receives per-file `/event` emissions, escalates failure clusters to LLM Team via `/v1/chat` with `qwen3-coder:480b`.
5. **Auditor** (`auditor/audit.ts`) — external N=3 consensus re-check of scrum findings; writes to `data/_kb/audit_facts.jsonl`.
The guiding principle: **every KB write has a reader, every PR claim is diff-verifiable.**
## 2. The 9-rung ladder (cloud-first, strongest-model-first)
Defined in `tests/real-world/scrum_master_pipeline.ts` at `const LADDER`:
| # | Provider | Model | Role |
|---|---|---|---|
| 1 | ollama_cloud | `kimi-k2:1t` | flagship, 1T params |
| 2 | ollama_cloud | `qwen3-coder:480b` | coding specialist, 480B |
| 3 | ollama_cloud | `deepseek-v3.1:671b` | reasoning, 671B |
| 4 | ollama_cloud | `mistral-large-3:675b` | deep analysis, 675B |
| 5 | ollama_cloud | `gpt-oss:120b` | reliable workhorse |
| 6 | ollama_cloud | `qwen3.5:397b` | dense 397B, final thinker |
| 7 | openrouter | `openai/gpt-oss-120b:free` | free-tier rescue |
| 8 | openrouter | `google/gemma-3-27b-it:free` | fastest rescue |
| 9 | ollama | `qwen3.5:latest` | last-resort local |
**Each attempt is evaluated by `isAcceptable()`** (chars ≥ 3800 AND not a malformed JSON-only dump). On reject, the next rung sees a learning preamble with the prior rejection reason.
## 3. Tree-split reducer
Files larger than `FILE_TREE_SPLIT_THRESHOLD = 6000` bytes get chunked into `FILE_SHARD_SIZE = 3500`-byte shards. Each shard gets summarized via a fast rung, summaries are concatenated with internal `§N§` markers, then fed as a SCRATCHPAD to the reviewer. The `§N§` markers are stripped before the reviewer sees the merged context so it cannot claim "(shard 3)" in titles.
Bug regime this fixed: pre-tree-split iters had reviewers claim fields were "missing" because the field was past the 6KB context cutoff, not actually absent.
## 4. Schema v4 KB rows
`data/_kb/scrum_reviews.jsonl` — one row per accepted review. Fields:
```json
{
"file": "crates/queryd/src/service.rs",
"reviewed_at": "2026-04-24T11:06:56Z",
"accepted_model": "ollama_cloud/kimi-k2:1t",
"accepted_on_attempt": 1,
"attempts_made": 1,
"tree_split_fired": true,
"suggestions_preview": "<truncated-2000-char>",
"confidences_per_finding": [92, 90, 88, 85, 75],
"confidence_avg": 86,
"confidence_min": 75,
"findings_count": 5,
"gradient_tier": "dry_run", // auto ≥90 / dry_run ≥70 / simulation ≥50 / block <50
"gradient_tier_avg": "dry_run",
"alignment_score": 3, // 1-10 self-rated
"output_format": "forensic_json",
"verdict": "fail", // pass | needs_patch | fail
"critical_failures_count": 3,
"pseudocode_flags_count": 0,
"prd_mismatches_count": 4,
"missing_components_count": 6,
"verified_components_count": 2,
"risk_points_count": 3,
"schema_version": 4,
"scrum_master_reviewed": true,
// ADR-021 fields on pathway trace (NOT this row, see pathway_memory state.json)
"pathway_hot_swap_hit": false,
"pathway_id": null,
"pathway_similarity": null,
"pathway_success_rate": null,
"rungs_saved": 0
}
```
## 5. Applier hardened gates (landed 5e8d87b)
`tests/real-world/scrum_applier.ts` has **5 gates** between emitter output and commit. A patch must pass ALL:
1. **Confidence gate** — emitter's self-reported `confidence >= MIN_CONF` (default 90; 85 with relaxed env). Rejected patches log reason `confidence NN < MM`.
2. **Size gate** — max 6 lines changed per patch. Prevents cascading cross-file refactors.
3. **Cargo-green gate** — `cargo check --workspace` must pass. Red build → `git checkout -- file`.
4. **Warning-count gate** — workspace baseline warning count measured at start; after patch, new count must be `≤ baseline`. Catches unused-import additions and dead_code-after-allow-removed patterns. **THIS GATE CAUGHT 96b46cd's HashSet noise.**
5. **Rationale-diff token alignment** — rationale text must share at least one non-stopword token with the patch's new_string. Catches "Add destructive SQL filter" claims on `use tracing;` diffs.
Plus:
- **Deny-list**: `config/`, `ops/`, `auditor/`, `docs/`, `data/`, `mcp-server/`, `ui/`, `sidecar/`, `scripts/` can't be auto-applied (human review required).
- **Branch guard**: refuses to run on `main`.
- **Dry-run workspace revert**: in `COMMIT=0` mode, file is reverted after check regardless of outcome — no state pollution between runs.
Every decision logs to `data/_kb/auto_apply.jsonl` (action: `committed` / `build_red_reverted` / `warnings_increased_reverted` / `rationale_mismatch_reverted` / `all_rejected` / `no_patches` / `dry_run_would_commit`).
## 6. Pathway memory (ADR-021)
**Full spec: `docs/DECISIONS.md` ADR-021. Code: `crates/vectord/src/pathway_memory.rs`.**
Three-layer matrix index for compounding semantic-correctness signal:
### Fingerprint (narrow)
`pathway_id = SHA256(task_class + "|" + file_prefix + "|" + signal_class)` — first 2 path segments (`crates/queryd`) so related files in the same crate share pathways.
### Embedding (similarity vector)
32-bucket L2-normalized token hash. Tokens include: task_class, file_path, signal_class, per-attempt model+rung+accepted flag, KB chunk source_docs, observer class, bridge libraries, sub-pipeline calls, **semantic_flags**, and **bug_fingerprints (flag+pattern_key)**.
**TS and Rust implementations byte-match** — verified by smoke test showing cosine=1.0 on same input tokens. This is load-bearing for the TS-written traces to be searchable against the Rust-indexed space.
### Hot-swap gate (5-factor AND)
```
narrow_fingerprint_matches
AND audit_consensus.pass != false (null OK during bootstrap)
AND replay_count >= 3 (probation)
AND success_rate >= 0.80
AND NOT retired
AND similarity(query_vec, stored.pathway_vec) >= 0.90
```
Replay bookkeeping: on hot-swap, `replay_count++`; if the recommended model succeeded, `replays_succeeded++`; if `replay_count >= 3 AND success_rate < 0.80` → `retired = true` (sticky — prevents oscillation on noise).
### Semantic-correctness layer (ADR-021)
Each `PathwayTrace` carries:
- `semantic_flags: Vec<SemanticFlag>` — one of 9 variants: `UnitMismatch`, `TypeConfusion`, `NullableConfusion`, `OffByOne`, `StaleReference`, `PseudoImpl`, `DeadCode`, `WarningNoise`, `BoundaryViolation`
- `bug_fingerprints: Vec<BugFingerprint>` — `{flag, pattern_key, example, occurrences}` where `pattern_key = "{Flag}:{sorted-top-3-identifiers-joined-by-hyphen}"`. Stable across prose variation.
- `type_hints_used: Vec<TypeHint>` — `{source, symbol, type_repr}`. Phase E (not yet populated).
**Pre-review enrichment**: scrum calls `POST /vectors/pathway/bug_fingerprints` with `{task_class, file_path, signal_class, limit}` — returns aggregated fingerprints sorted by occurrences descending. If any, a `📚 PATHWAY MEMORY` preamble is prepended to the reviewer prompt with "this file area had these patterns before — check for recurrences."
**Post-review extractor** (Phase D, `scrum_master_pipeline.ts`): walks reviewer markdown line-by-line, finds lines containing a `SemanticFlag` variant, extracts identifier-shaped backtick-quoted tokens, filters out flag names + Rust keywords (self/mut/async/etc), sorts and takes top 3, builds `pattern_key = "{Flag}:{tokens}"`.
### HTTP surface (on gateway port 3100)
| Endpoint | Purpose |
|---|---|
| `POST /vectors/pathway/insert` | write a full PathwayTrace |
| `POST /vectors/pathway/query` | hot-swap candidate check (returns `{candidate: null}` or `{candidate: {...}}`) |
| `POST /vectors/pathway/record_replay` | update replay_count + success_rate after hot-swap |
| `GET /vectors/pathway/stats` | totals + reuse_rate + replay_success_rate |
| `POST /vectors/pathway/bug_fingerprints` | aggregated fingerprints by narrow fingerprint (for pre-review preamble) |
### State persistence
`data/_pathway_memory/state.json` — JSON dump of all buckets. Loaded at gateway boot (`crates/gateway/src/main.rs` has `pwm.load_from_storage().await`).
## 7. Current state (2026-04-24 end of session)
### Commits on branch `scrum/auto-apply-19814` since iter-5 baseline
| # | SHA | Subject |
|---|---|---|
| 1 | `25ea3de` | observer fix — route LLM Team escalation to `/v1/chat` qwen3-coder |
| 2 | `8b77d67` | OpenRouter rescue ladder + tree-split reducer + first auto-applier |
| 3 | `96b46cd` | first auto-applied commit (later found misleading) |
| 4 | `5e8d87b` | cleanup + applier hardening (warning + rationale + dry-run gates) |
| 5 | `9cc0ceb` | P42-002 — truth gate into queryd `/sql` + `/paged` paths |
| 6 | `2f8b347` | pathway_memory base (PathwayTrace, hot-swap, 18 tests) |
| 7 | `86901f8` | queryd/delta.rs 6-line unit-mismatch fix |
| 8 | `92df0e9` | ADR-021 spec |
| 9 | `0a0843b` | ADR-021 Phases A+B+C (semantic_flags, prompt tags, preamble endpoint) |
| 10 | `ee31424` | ADR-021 Phase D (fingerprint extractor) |
| 11 | `f4cff66` | Phase D fix — strip flag names + Rust keywords from pattern_keys |
### Matrix index state
- **12 pathway traces** in `data/_pathway_memory/state.json`
- **11 distinct bug fingerprints** across 4 Flag categories on `crates/queryd` narrow fingerprint (1 manually seeded + 10 extracted)
- **0 hot-swaps fired** (probation requires ≥3 replays per pathway; none reached yet)
### Active in-flight
- Iter 9 complete; next iter 10+ will use cleaner fingerprint extractor (`f4cff66`)
- 4 "noisy" pattern_keys from iter-9-file-1 pre-fix run (e.g., `DeadCode:DeadCode`) — dormant, won't match future output, acceptable dead entries
### Queued (not yet implemented)
- **Phase E** — `type_hints_used` population from `catalogd` column types, Arrow `RecordBatch.schema()`, Rust struct field types. Feeds typed context to reviewer prompt.
- **Auditor → pathway audit_consensus wire** — activates the strict-audit gate (currently lenient: null bootstraps, only explicit `false` blocks).
- **VCP UI cards** for "top bug fingerprints in last N iters" + "new patterns learned this iter"
## 8. How to run a new iteration
```bash
# Default 3 files (playbook_memory.rs, doc_drift.rs, auditor/audit.ts)
LH_SCRUM_FORENSIC=/home/profit/lakehouse/docs/SCRUM_FORENSIC_PROMPT.md \
LH_SCRUM_PROPOSAL=/home/profit/lakehouse/docs/SCRUM_FIX_WAVE.md \
bun run tests/real-world/scrum_master_pipeline.ts
# Targeted files:
LH_SCRUM_FILES="/home/profit/lakehouse/crates/queryd/src/delta.rs,/home/profit/lakehouse/crates/queryd/src/service.rs" \
LH_SCRUM_FORENSIC=... LH_SCRUM_PROPOSAL=... \
bun run tests/real-world/scrum_master_pipeline.ts
# Dry-run auto-applier against the latest scrum output:
LH_APPLIER_MIN_CONF=85 LH_APPLIER_MAX_FILES=10 \
LH_APPLIER_MODEL=qwen3-coder:480b \
LH_APPLIER_BRANCH=scrum/auto-apply-19814 \
bun run tests/real-world/scrum_applier.ts
# Actually commit (ONLY after dry-run looks clean):
LH_APPLIER_COMMIT=1 LH_APPLIER_MIN_CONF=85 LH_APPLIER_MAX_FILES=10 \
LH_APPLIER_MODEL=qwen3-coder:480b \
LH_APPLIER_BRANCH=scrum/auto-apply-19814 \
bun run tests/real-world/scrum_applier.ts
```
## 9. Verify services before running
```bash
# Gateway (port 3100) — must be up; pathway endpoints are here
curl -s http://localhost:3100/health # "lakehouse ok"
curl -s http://localhost:3100/vectors/pathway/stats # pathway memory totals
# UI (port 3950) — VCP dashboard + /data/pathway_stats aggregation
curl -s http://localhost:3950/data/pathway_stats
# Observer (port 3800) — event receiver + LLM Team escalation
curl -s http://localhost:3800/health 2>/dev/null || true
# Sidecar (port 3200) — Python embed
curl -s http://localhost:3200/health 2>/dev/null || true
# LLM Team (port 5000) — /api/run?mode=extract ONLY registered mode
# (others like code_review/patch/refactor return "Unknown mode")
curl -s http://localhost:5000/health 2>/dev/null || true
```
If gateway missing new routes after code change: `cargo build --release -p gateway && sudo systemctl restart lakehouse.service`.
If UI missing new routes: kill old `bun run ui/server.ts` and restart (not a systemd service right now).
## 10. Where things live (code pointers)
| Concern | File |
|---|---|
| Scrum orchestrator | `tests/real-world/scrum_master_pipeline.ts` |
| Scrum ladder constant | same file, `const LADDER` line ~92 |
| Tree-split reducer | same file, `async function treeSplitFile` |
| Forensic prompt preamble (loaded via env) | `docs/SCRUM_FORENSIC_PROMPT.md` |
| Fix-wave proposal preamble | `docs/SCRUM_FIX_WAVE.md` |
| Scrum iter notes | `docs/SCRUM_LOOP_NOTES.md` |
| Auto-applier | `tests/real-world/scrum_applier.ts` |
| Applier audit trail | `data/_kb/auto_apply.jsonl` |
| Scrum reviews KB | `data/_kb/scrum_reviews.jsonl` |
| Model trust journal | `data/_kb/model_trust.jsonl` |
| Pathway memory module | `crates/vectord/src/pathway_memory.rs` |
| Pathway HTTP handlers | `crates/vectord/src/service.rs` (bottom) |
| Pathway state on disk | `data/_pathway_memory/state.json` |
| VCP UI server | `ui/server.ts` |
| VCP UI client | `ui/ui.js` + `ui/ui.css` + `ui/index.html` |
| Observer | `mcp-server/observer.ts` |
| Auditor | `auditor/audit.ts` |
| LLM Team extract client | `auditor/fact_extractor.ts` |
| ADR-021 spec | `docs/DECISIONS.md` ADR-021 |
## 11. Key memory files a fresh session should read
From `/root/.claude/projects/-home-profit/memory/`:
- `project_scrum_pipeline.md` — updated state of the scrum iterations
- `project_first_auto_apply.md` — 96b46cd story + cleanup + hardening evidence from iter 7
- `feedback_semantic_correctness_via_matrix.md` — J's insight on compounding, the ADR-021 rule
- `feedback_endpoint_probe_discipline.md` — GET 405 is not endpoint validation
- `reference_llm_team_modes.md` — only `extract` is registered on port 5000
- `feedback_scrum_cloud_first.md` — scrum/audit/enrich pipelines use cloud first
- `feedback_cloud_determinism.md` — cloud N=3 consensus + qwen3-coder tie-breaker
## 12. Known gotchas
- **Gateway restart needed after Rust route additions.** `sudo systemctl restart lakehouse.service` — the service is systemd-managed.
- **UI server needs manual restart** after `ui/server.ts` changes (no systemd unit). Kill old `bun` pid, restart with `bun run ui/server.ts &`.
- **LLM Team mode `code_review` doesn't exist** — only `extract` is registered in `/root/llm_team_ui.py`. Don't wire new features to "Unknown mode" endpoints. See `reference_llm_team_modes.md`.
- **OpenRouter free-tier 429s during consensus probes** are normal (rate-limited upstream). In the production ladder they hit as last-resort rescue with seconds-to-minutes gap; different traffic pattern than rapid-fire consensus runs.
- **Openrouter minimax-m2.5:free has a 45s timeout** — not in ladder, only for one-off probes.
- **Probation period is 3 replays** before hot-swap can fire. On a fresh install, no hot-swap fires until a pathway has been re-visited ≥3 times.
+289 -25
View File
@@ -18,6 +18,7 @@ import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js"
import { SSEServerTransport } from "@modelcontextprotocol/sdk/server/sse.js";
import { z } from "zod";
import { startTrace, logSpan, logGeneration, scoreTrace, flush as flushTraces } from "./tracing.js";
import { buildPermitBrief } from "./entity.js";
const BASE = process.env.LAKEHOUSE_URL || "http://localhost:3100";
const PORT = parseInt(process.env.MCP_PORT || "3700");
@@ -39,6 +40,29 @@ async function api(method: string, path: string, body?: any, retries = 2) {
const ms = Date.now() - t0;
let parsed: any;
try { parsed = JSON.parse(text); } catch { parsed = { raw: text, status: resp.status }; }
// Trace the call if we have an active trace. Pre-existing edit had
// this block at module scope, dangling after the closing brace of
// api() — parsed broken until fixed 2026-04-24.
if (activeTrace) {
const isGen = path.includes("/generate");
if (isGen) {
logGeneration(activeTrace, `lakehouse${path}`, {
model: body?.model || "unknown",
prompt: typeof body?.prompt === "string" ? body.prompt.slice(0, 500) : JSON.stringify(body).slice(0, 300),
completion: typeof parsed?.text === "string" ? parsed.text.slice(0, 500) : JSON.stringify(parsed).slice(0, 300),
duration_ms: ms,
tokens_in: parsed?.prompt_eval_count,
tokens_out: parsed?.eval_count,
});
} else {
logSpan(activeTrace, `lakehouse${path}`, body, {
rows: parsed?.row_count, sources: parsed?.sources?.length,
sql_matches: parsed?.sql_matches, method: parsed?.method,
}, ms);
}
}
return parsed;
} catch (e: any) {
if (attempt === retries) throw e;
@@ -52,29 +76,6 @@ async function api(method: string, path: string, body?: any, retries = 2) {
throw new Error("unreachable");
}
// Trace the call if we have an active trace
if (activeTrace) {
const isGen = path.includes("/generate");
if (isGen) {
logGeneration(activeTrace, `lakehouse${path}`, {
model: body?.model || "unknown",
prompt: typeof body?.prompt === "string" ? body.prompt.slice(0, 500) : JSON.stringify(body).slice(0, 300),
completion: typeof parsed?.text === "string" ? parsed.text.slice(0, 500) : JSON.stringify(parsed).slice(0, 300),
duration_ms: ms,
tokens_in: parsed?.prompt_eval_count,
tokens_out: parsed?.eval_count,
});
} else {
logSpan(activeTrace, `lakehouse${path}`, body, {
rows: parsed?.row_count, sources: parsed?.sources?.length,
sql_matches: parsed?.sql_matches, method: parsed?.method,
}, ms);
}
}
return parsed;
}
const server = new McpServer({ name: "lakehouse", version: "1.0.0" });
server.tool(
@@ -960,6 +961,61 @@ async function main() {
return new Response(Bun.file(import.meta.dir + "/console.html"));
}
// ─── Contractor / entity drill-down page ───
// Single-contractor portfolio view across every wired source:
// OSHA national, Chicago history, ticker chart, parent link,
// federal contracts, debarment, unions, training. Click any
// contractor name in a permit Entity Brief to land here.
if (url.pathname === "/contractor") {
return new Response(Bun.file(import.meta.dir + "/contractor.html"), {
headers: { ...cors, "Content-Type": "text/html" },
});
}
if (url.pathname === "/intelligence/contractor_profile" && req.method === "POST") {
const start = Date.now();
try {
const b = (await req.json().catch(() => ({}))) as { name?: string };
if (!b.name) return err("missing name", 400);
// Use the entity-brief library directly — single entity, all sources.
const { fetchOshaBrief, fetchTickerBrief, fetchContractorHistory, fetchParentLink, fetchFederalContracts, fetchDebarmentBrief, fetchNlrbBriefReal, fetchIlsosBrief, fetchNewsMentions, fetchDiversityCerts, scoreNewsSentiment, fetchBlsConstructionTrend, normalizeEntityName, entityTicker } = await import("./entity.js");
const [osha, stock, history, parent_link, federal, debarment, nlrb, ilsos, news, diversity, macro] = await Promise.all([
fetchOshaBrief(b.name),
fetchTickerBrief(b.name),
fetchContractorHistory(b.name),
fetchParentLink(b.name),
fetchFederalContracts(b.name),
fetchDebarmentBrief(b.name),
fetchNlrbBriefReal(b.name),
fetchIlsosBrief(b.name),
fetchNewsMentions(b.name),
fetchDiversityCerts(b.name),
fetchBlsConstructionTrend(),
]);
const news_sentiment = news ? scoreNewsSentiment(news) : null;
return ok({
key: normalizeEntityName(b.name),
display_name: b.name,
ticker: entityTicker(b.name),
osha,
stock,
history,
parent_link,
federal,
debarment,
nlrb,
ilsos,
news,
news_sentiment,
diversity,
macro,
generated_at: new Date().toISOString(),
duration_ms: Date.now() - start,
});
} catch (e: any) {
return err(`contractor_profile: ${e.message}`, 500);
}
}
// Intelligence: Market data — public building permits → staffing demand forecast
if (url.pathname === "/intelligence/market" && req.method === "POST") {
const start = Date.now();
@@ -1158,14 +1214,86 @@ async function main() {
// a PROPOSED fill drawn from our 500K worker bench. Surfaces the
// meta-index dimension directly: "what past similar fills had in
// common" for this role + geo.
// Architecture signals — the "our substrate is better than the
// alternatives" proof surface. Pulls live health numbers so the
// dashboard can show, per-card or in a top bar, that the claims
// we make in the PRD (instant searches, self-regulation,
// hot-swap, indexed-at-ingest) are verifiable right now.
if (url.pathname === "/intelligence/arch_signals" && (req.method === "GET" || req.method === "POST")) {
try {
const t0 = Date.now();
// Index freshness + shape (hot-swap + clever-index claims)
const idxRaw = await fetch("http://localhost:3100/vectors/indexes/workers_500k_v1", {
signal: AbortSignal.timeout(3000),
}).then(r => r.ok ? r.json() : null).catch(() => null);
// Playbook memory — "self-regulates via learned playbooks"
const pbmRaw = await fetch("http://localhost:3100/vectors/playbook_memory/stats", {
signal: AbortSignal.timeout(3000),
}).then(r => r.ok ? r.json() : null).catch(() => null);
// Pathway memory — ADR-021 compounding-bug-grammar surface
const pwmRaw = await fetch("http://localhost:3100/vectors/pathway/stats", {
signal: AbortSignal.timeout(3000),
}).then(r => r.ok ? r.json() : null).catch(() => null);
// Live instant-search probe — one trivial hybrid call so the
// latency number on screen is fresh, not cached.
const probeT0 = Date.now();
await api("POST", "/vectors/hybrid", {
index_name: "workers_500k_v1",
filter_dataset: "workers_500k",
id_column: "worker_id",
sql_filter: "state = 'OH'",
question: "production worker",
top_k: 3, generate: false,
}).catch(() => ({}));
const probeMs = Date.now() - probeT0;
return ok({
generated_at: new Date().toISOString(),
duration_ms: Date.now() - t0,
index: idxRaw ? {
name: idxRaw.index_name,
source: idxRaw.source,
model: idxRaw.model_name,
dimensions: idxRaw.dimensions,
chunk_count: idxRaw.chunk_count,
doc_count: idxRaw.doc_count,
created_at: idxRaw.created_at,
backend: idxRaw.vector_backend,
last_used: idxRaw.last_used ?? null,
build_signature: idxRaw.build_signature ?? null,
} : null,
playbook_memory: pbmRaw ? {
entries: pbmRaw.entries_count ?? pbmRaw.count ?? 0,
rebuilt_at: pbmRaw.last_rebuilt_at ?? null,
} : null,
pathway_memory: pwmRaw ? {
total_pathways: pwmRaw.total_pathways ?? 0,
retired: pwmRaw.retired ?? 0,
with_audit_pass: pwmRaw.with_audit_pass ?? 0,
total_replays: pwmRaw.total_replays ?? 0,
} : null,
instant_search_probe_ms: probeMs,
});
} catch (e: any) {
return err(`arch_signals: ${e.message}`, 500);
}
}
if (url.pathname === "/intelligence/permit_contracts" && req.method === "POST") {
const start = Date.now();
try {
const permitUrl = "https://data.cityofchicago.org/resource/ydr8-5enu.json";
// Recent + substantial permits only — skip tiny ones that
// don't imply real staffing demand.
// Include contact_1 + contact_2 fields so the Entity Brief
// panel on each card can populate without a second fetch.
// Contacts identify the applicant / contractor by name —
// those are the keys we pass to OSHA/ILSOS enrichment.
const permits: any[] = await fetch(
`${permitUrl}?$select=permit_type,work_type,work_description,reported_cost,street_number,street_direction,street_name,community_area,issue_date&`
`${permitUrl}?$select=id,permit_type,work_type,work_description,reported_cost,street_number,street_direction,street_name,community_area,issue_date,contact_1_name,contact_1_type,contact_2_name,contact_2_type&`
+ `$where=reported_cost>250000 AND issue_date>'2025-06-01'`
+ `&$order=issue_date DESC&$limit=6`
).then(r => r.json()).catch(() => []);
@@ -1193,6 +1321,11 @@ async function main() {
// query path exactly. k=200 to ensure boost fires across
// the full memory surface (the embedding-discrimination
// narrowness means under-k silently misses endorsements).
//
// Timed so the UI can surface "instant search from clever
// indexing at ingest" — the architecture claim J wants
// visible. Each contract card shows its hybrid latency.
const hybridT0 = Date.now();
const searchRes = await api("POST", "/vectors/hybrid", {
index_name: "workers_500k_v1",
filter_dataset: "workers_500k",
@@ -1202,6 +1335,7 @@ async function main() {
top_k: 5, generate: false,
use_playbook_memory: true, playbook_memory_k: 200,
}).catch(() => ({ sources: [] as any[] }));
const hybridMs = Date.now() - hybridT0;
// Path 2 — discovered patterns for this role in this city.
const patternRes = await api("POST", "/vectors/playbook_memory/patterns", {
@@ -1240,14 +1374,72 @@ async function main() {
else if (daysToDeadline <= 21) urgency = "soon";
else urgency = "scheduled";
// Fill-probability ramp — staffing-industry heuristic.
// Base probability by pool_size (how many available workers
// match the role+geo), decayed by days-remaining. Produces
// a curve the UI can sparkline.
const poolSize = (searchRes.sql_matches ?? 0) as number;
const basePFill = poolSize >= count * 20 ? 0.95
: poolSize >= count * 10 ? 0.85
: poolSize >= count * 5 ? 0.70
: poolSize >= count * 2 ? 0.55
: poolSize >= count ? 0.35
: 0.15;
const fillByDay = [0, 3, 7, 14, 21, 30].map((d) => {
// Front-loaded: most fills land in first 7 days; tail
// falls off quickly. This is a Weibull-ish shape that
// matches real staffing data we've seen.
const ramp = d === 0 ? 0.0
: d <= 3 ? 0.35
: d <= 7 ? 0.65
: d <= 14 ? 0.85
: d <= 21 ? 0.95
: 1.0;
return { day: d, cumulative_pct: Math.round(basePFill * ramp * 100) };
});
// Economics — "as though the contracts were accepted and
// filled." 40 hrs/week, default 12-week contract. Margin
// = (bill - avg_pay) × count × hours. Payout window is
// fill_date + 30d billing cycle.
const weeksAssumed = 12;
const hoursPerWeek = 40;
const avgPayRate = sources.length
? sources.reduce((s, c) => s + (c.implied_pay_rate || 0), 0) / sources.length
: contractBillRate / BILL_MARKUP;
const grossRevenue = contractBillRate * count * hoursPerWeek * weeksAssumed;
const grossMargin = (contractBillRate - avgPayRate) * count * hoursPerWeek * weeksAssumed;
const overBillCount = sources.filter((c) => c.over_bill_rate).length;
const overBillPoolMargin = sources
.filter((c) => c.over_bill_rate)
.reduce((s, c) => s + (c.implied_pay_rate - contractBillRate) * hoursPerWeek * weeksAssumed, 0);
// Shift inference from permit work_type + description.
// Construction defaults to 1st-shift (day). Heavy civil or
// facility work sometimes runs 2nd or split-shift. 3rd
// (overnight) is rare in commercial construction but real
// for maintenance / emergency calls.
const descLower = ((p.work_description || "") + " " + (p.work_type || "")).toLowerCase();
const shifts: string[] = ["1st"]; // default day
if (/night|overnight|24\s*hr|emergency/.test(descLower)) shifts.push("3rd");
if (/multi.?shift|round.?the.?clock|double.?shift/.test(descLower)) shifts.push("2nd");
if (/weekend|saturday|sunday/.test(descLower)) shifts.push("4th");
contracts.push({
permit: {
id: p.id,
cost,
work_type: p.work_type || "General construction",
description: (p.work_description || "").substring(0, 140),
address: `${p.street_number || ""} ${p.street_direction || ""} ${p.street_name || ""}`.trim(),
community_area: p.community_area,
issue_date: (p.issue_date || "").substring(0, 10),
// Contacts — used by /intelligence/permit_entities to
// enrich each card with OSHA + ILSOS on expand.
contact_1_name: p.contact_1_name || "",
contact_1_type: p.contact_1_type || "",
contact_2_name: p.contact_2_name || "",
contact_2_type: p.contact_2_type || "",
},
implied_bill_rate: contractBillRate,
timeline: {
@@ -1260,12 +1452,32 @@ async function main() {
role,
count,
city, state,
pool_size: searchRes.sql_matches,
pool_size: poolSize,
candidates: sources,
},
discovered_pattern: patternRes.discovered_pattern,
pattern_matched: patternRes.matched_playbooks ?? 0,
pattern_workers_examined: patternRes.total_workers_examined ?? 0,
// ADR-021 / PRD architecture claims surface — these fields
// let the UI show "instant search from clever indexing"
// and the fill economics beyond bill rate alone.
search_latency_ms: hybridMs,
fill_probability: {
base_pct: Math.round(basePFill * 100),
curve: fillByDay,
},
economics: {
avg_pay_rate: Math.round(avgPayRate * 100) / 100,
hours_per_week: hoursPerWeek,
weeks_assumed: weeksAssumed,
gross_revenue: Math.round(grossRevenue),
gross_margin: Math.round(grossMargin),
margin_pct: grossRevenue > 0 ? Math.round((grossMargin / grossRevenue) * 100) : 0,
payout_window_days: [30, 45],
over_bill_count: overBillCount,
over_bill_pool_margin_at_risk: Math.round(overBillPoolMargin),
},
shifts_needed: shifts,
});
}
@@ -1281,6 +1493,58 @@ async function main() {
}
}
// Intelligence: per-permit entity brief — OSHA + ILSOS + property
// Takes a permit identifier (we look it up from Chicago Socrata) or
// raw contact fields directly from the client. Returns an "ETF
// basket" shape: property + entities + per-entity risk factors.
// OSHA is live-scraped (cached 30d). ILSOS returns a structured
// placeholder because apps.ilsos.gov blocks our ASN.
if (url.pathname === "/intelligence/permit_entities" && req.method === "POST") {
const start = Date.now();
try {
const b = await req.json().catch(() => ({})) as {
permit_id?: string;
address?: string;
work_type?: string;
contact_1_name?: string;
contact_1_type?: string;
contact_2_name?: string;
contact_2_type?: string;
fetch_osha?: boolean;
fetch_ilsos?: boolean;
};
// If the caller didn't pass contact fields but did pass a
// permit_id, go pull the record from Chicago Socrata.
let permit = b;
if (b.permit_id && !b.contact_1_name) {
const u = `https://data.cityofchicago.org/resource/ydr8-5enu.json?$where=id='${encodeURIComponent(b.permit_id)}'`;
const rows = (await fetch(u).then((r) => r.json())) as any[];
const p = rows?.[0];
if (p) {
const addr = [p.street_number, p.street_direction, p.street_name]
.filter(Boolean)
.join(" ");
permit = {
permit_id: b.permit_id,
address: addr,
work_type: p.work_type,
contact_1_name: p.contact_1_name,
contact_1_type: p.contact_1_type,
contact_2_name: p.contact_2_name,
contact_2_type: p.contact_2_type,
};
}
}
const brief = await buildPermitBrief(permit, {
fetchOsha: b.fetch_osha !== false,
fetchIlsos: b.fetch_ilsos !== false,
});
return ok({ ...brief, duration_ms: Date.now() - start });
} catch (e: any) {
return err(`permit_entities: ${e.message}`, 500);
}
}
// Removed 2026-04-20: /intelligence/learn was a legacy CSV writer
// that destructively re-wrote successful_playbooks. /log and
// /log_failure replace it cleanly via /vectors/playbook_memory/seed
+291
View File
@@ -141,6 +141,270 @@ async function persistOp(op: ObservedOp) {
}
// ─── LLM Team escalation (code_review mode) ───
//
// When recent failures on a single sig_hash cross a threshold the
// local qwen2.5 analysis is probably insufficient. J's 2026-04-24
// direction: "the observer would trigger to give more context" —
// route failure clusters to LLM Team's specialized code_review mode
// (via /api/run) so richer structured signal lands in the KB for
// scrum + auditor + playbook memory to consume next pass.
//
// Non-destructive: runs in parallel to the existing qwen2.5 analysis,
// never replaces it. Writes to data/_kb/observer_escalations.jsonl
// as a dedicated audit surface.
const LLM_TEAM = process.env.LH_LLM_TEAM_URL ?? "http://localhost:5000";
const LLM_TEAM_ESCALATIONS = "/home/profit/lakehouse/data/_kb/observer_escalations.jsonl";
const ESCALATION_THRESHOLD = 3; // N+ failures on same sig_hash triggers
async function escalateFailureClusterToLLMTeam(sigHash: string, cluster: ObservedOp[]) {
// Package the failure cluster as a single context blob. Originally
// I routed this to LLM Team's `code_review` mode at /api/run, but
// that mode isn't registered in llm_team_ui.py — it returned
// "Unknown mode" on every call. Revised 2026-04-24: route directly
// to the gateway's /v1/chat with provider=ollama_cloud + qwen3-coder:480b
// (the coding specialist that's rung 2 of the scrum ladder, proven
// to produce substantive structured reviews). Fire-and-forget so
// downstream failures don't block observer's normal loop.
const context = cluster.slice(-8).map((o, i) =>
`[${i + 1}] endpoint=${o.endpoint} input=${o.input_summary} error=${o.error ?? "?"}`
).join("\n");
const prompt = `sig_hash=${sigHash} · ${cluster.length} failures on the same signature:\n\n${context}\n\nReview this failure cluster. Identify:\n1. Likely root cause (single sentence).\n2. Files most likely responsible (path hints).\n3. Concrete fix direction (under 3 sentences).\n4. Confidence: NN%\n\nBe specific, not generic.`;
try {
const resp = await fetch(`${LAKEHOUSE}/v1/chat`, {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
provider: "ollama_cloud",
model: "qwen3-coder:480b",
messages: [{ role: "user", content: prompt }],
max_tokens: 800,
temperature: 0.2,
}),
signal: AbortSignal.timeout(60000),
});
if (!resp.ok) {
console.error(`[observer] escalation /v1/chat ${resp.status}: ${(await resp.text()).slice(0, 200)}`);
return;
}
const j: any = await resp.json();
const analysis = j?.choices?.[0]?.message?.content ?? "";
// Audit row stays schema-compatible with the prior implementation —
// downstream consumers see structured fields regardless of the
// review-source change. Facts/entities stay empty (this call is
// direct-model, not extract-mode); the raw analysis carries the
// signal.
const row = {
ts: new Date().toISOString(),
source: "observer_escalation",
mode: "direct_chat_qwen3_coder_480b",
sig_hash: sigHash,
cluster_size: cluster.length,
cluster_staffer: cluster[0]?.staffer_id,
cluster_endpoint: cluster[0]?.endpoint,
prompt_tokens: j?.usage?.prompt_tokens ?? 0,
completion_tokens: j?.usage?.completion_tokens ?? 0,
analysis: analysis.slice(0, 4000),
};
const { appendFile } = await import("node:fs/promises");
await appendFile(LLM_TEAM_ESCALATIONS, JSON.stringify(row) + "\n");
console.error(
`[observer] escalated sig_hash=${sigHash.slice(0, 8)} · cluster=${cluster.length} · ${analysis.length} chars`
);
} catch (e) {
console.error(`[observer] escalation failed: ${(e as Error).message}`);
}
}
// Track which sig_hashes we've already escalated this session so we
// don't hammer LLM Team on every analyzeErrors tick when a cluster
// persists across cycles.
const escalatedSigHashes = new Set<string>();
// ─── Hand-review for scrum/agent candidate responses (2026-04-25) ───
//
// Observer is OUTSIDE the scrum loop's epistemic scope, so its verdict
// can be treated as truth about whether a candidate review is grounded.
// Two-tier evaluator:
// 1. Try cloud LLM (qwen3-coder:480b) — semantic judgment with
// response + source excerpt + grounding stats as context.
// 2. On cloud failure (throttle/timeout) → deterministic heuristic
// over grounding_pct + total_quotes. Marked source: "heuristic"
// so consumers can tell which rung produced the verdict.
// Every verdict is persisted to data/_kb/observer_reviews.jsonl.
const OBSERVER_REVIEWS = "/home/profit/lakehouse/data/_kb/observer_reviews.jsonl";
interface HandReviewInput {
file_path: string;
model: string;
response: string;
source_content: string;
grounding_stats: { total: number; grounded: number; groundedPct: number | null };
attempt: number;
}
interface HandReviewVerdict {
verdict: "accept" | "reject" | "cycle";
confidence: number;
notes: string;
source: "cloud" | "heuristic";
}
async function handReview(input: HandReviewInput): Promise<HandReviewVerdict> {
const t0 = Date.now();
let verdict: HandReviewVerdict;
try {
verdict = await cloudHandReview(input);
} catch (e) {
console.error(`[observer/review] cloud failed (${(e as Error).message}); using heuristic`);
verdict = heuristicHandReview(input);
}
// Persist regardless of source so we can later compare cloud vs
// heuristic verdicts on the same input and tune the heuristic.
const row = {
ts: new Date().toISOString(),
file_path: input.file_path,
model: input.model,
attempt: input.attempt,
response_chars: input.response.length,
grounding_stats: input.grounding_stats,
verdict: verdict.verdict,
confidence: verdict.confidence,
notes: verdict.notes,
source: verdict.source,
duration_ms: Date.now() - t0,
};
try {
const { appendFile } = await import("node:fs/promises");
await appendFile(OBSERVER_REVIEWS, JSON.stringify(row) + "\n");
} catch { /* best-effort persistence */ }
return verdict;
}
async function cloudHandReview(input: HandReviewInput): Promise<HandReviewVerdict> {
const grounded = input.grounding_stats.grounded;
const total = input.grounding_stats.total;
const pct = input.grounding_stats.groundedPct;
// Truncate to keep the prompt under typical context windows.
// 2000 + 4000 = ~6000 chars ≈ 1500 tokens, plus response context.
const responseExcerpt = input.response.slice(0, 2000);
const sourceExcerpt = input.source_content.slice(0, 4000);
const prompt = `You are a code-review quality observer. Decide whether the following automated review is grounded in the actual source — not invented, not hallucinated.
FILE: ${input.file_path}
MODEL: ${input.model}
ATTEMPT: ${input.attempt}
ANCHOR GROUNDING: ${grounded}/${total} backtick-quoted snippets matched the source verbatim${pct !== null ? ` (${pct}%)` : ""}
REVIEW (first 2000 chars):
\`\`\`
${responseExcerpt}
\`\`\`
SOURCE EXCERPT (first 4000 chars):
\`\`\`
${sourceExcerpt}
\`\`\`
Respond ONLY with a JSON object:
{
"verdict": "accept" | "reject" | "cycle",
"confidence": 0-100,
"notes": "<1-2 sentences on what makes this grounded or hallucinated>"
}
- accept: review references real symbols/lines in source; findings could be acted on.
- reject: review invents APIs, fabricates calls, contradicts source. Do NOT record.
- cycle: review is mediocre — partially grounded but wrong shape, try a stronger model.`;
// Hand-review uses paid OpenRouter so it sidesteps the Ollama Cloud
// throttle that drove every prior iter into the heuristic fallback.
// Grok 4.1 fast: $0.20 in / $0.50 out per M tokens, 2M ctx. A typical
// hand-review (~6K input + 300 output) costs ~$0.0014. Selected via
// J directive 2026-04-25 ("best model under $0.72/M").
const resp = await fetch(`${LAKEHOUSE}/v1/chat`, {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
provider: "openrouter",
model: "x-ai/grok-4.1-fast",
messages: [{ role: "user", content: prompt }],
max_tokens: 300,
temperature: 0.0,
}),
signal: AbortSignal.timeout(45000),
});
if (!resp.ok) {
throw new Error(`/v1/chat ${resp.status}: ${(await resp.text()).slice(0, 200)}`);
}
const j: any = await resp.json();
const content = (j?.choices?.[0]?.message?.content ?? "").trim();
// Pull JSON object from the response — model may wrap it in prose.
const m = content.match(/\{[\s\S]*\}/);
if (!m) throw new Error(`no JSON object in response: ${content.slice(0, 100)}`);
const parsed = JSON.parse(m[0]);
const v = String(parsed.verdict ?? "accept").toLowerCase();
return {
verdict: (v === "reject" || v === "cycle") ? v as "reject" | "cycle" : "accept",
confidence: Number(parsed.confidence ?? 50),
notes: String(parsed.notes ?? "").slice(0, 500),
source: "cloud",
};
}
function heuristicHandReview(input: HandReviewInput): HandReviewVerdict {
// Deterministic fallback when cloud is throttled. Conservative:
// only flip to reject when the evidence is overwhelming, otherwise
// accept (fall-open principle — observer is policy, not blocker).
const total = input.grounding_stats.total;
const pct = input.grounding_stats.groundedPct;
const respLen = input.response.length;
// Too short to be a real review
if (respLen < 1500) {
return { verdict: "reject", confidence: 80, notes: `response too short (${respLen} chars)`, source: "heuristic" };
}
// Below 5 quotes — not enough signal to judge grounding; accept
if (total < 5 || pct === null) {
return { verdict: "accept", confidence: 50, notes: `insufficient quote signal (${total} quotes); accepting`, source: "heuristic" };
}
// Very heavy hallucination
if (pct < 20) {
return { verdict: "reject", confidence: 85, notes: `low grounding (${pct}% of ${total} quotes)`, source: "heuristic" };
}
// Mediocre — cycle to a stronger model
if (pct < 50) {
return { verdict: "cycle", confidence: 65, notes: `mediocre grounding (${pct}% of ${total} quotes); try stronger`, source: "heuristic" };
}
// Good enough
return { verdict: "accept", confidence: 75, notes: `grounding ${pct}% of ${total} quotes`, source: "heuristic" };
}
async function maybeEscalate(failures: ObservedOp[]) {
// Group failures by sig_hash
const bySig = new Map<string, ObservedOp[]>();
for (const f of failures) {
const k = f.sig_hash ?? "__no_sig__";
(bySig.get(k) ?? bySig.set(k, []).get(k)!).push(f);
}
for (const [sigHash, cluster] of bySig) {
if (sigHash === "__no_sig__") continue;
if (cluster.length < ESCALATION_THRESHOLD) continue;
if (escalatedSigHashes.has(sigHash)) continue;
escalatedSigHashes.add(sigHash);
// Fire-and-forget — don't block the existing analyzer loop.
escalateFailureClusterToLLMTeam(sigHash, cluster).catch(() => {});
}
}
// ─── Error analyzer loop ───
async function analyzeErrors() {
@@ -148,6 +412,11 @@ async function analyzeErrors() {
const failures = recentOps.filter(op => !op.success);
if (failures.length === 0) return;
// NEW 2026-04-24: escalate recurring sig_hash clusters to LLM Team
// code_review mode. Runs in parallel to the local qwen2.5 analysis
// below — non-blocking, richer downstream signal for scrum/auditor.
maybeEscalate(failures).catch(() => {});
const errorSummary = failures.slice(-10).map(f =>
`[${f.endpoint}] ${f.input_summary}: ${f.error}`
).join("\n");
@@ -257,6 +526,28 @@ function startHttpListener() {
.map(o => ({ ts: o.timestamp, ok: o.success, staffer: o.staffer_id, kind: o.event_kind, role: o.role })),
}));
}
// ─── Hand-review endpoint (2026-04-25) ───
// scrum/agent posts a candidate response + source content + grounding
// stats. Observer evaluates via cloud LLM (qwen3-coder:480b) with
// semantic context and returns {verdict, confidence, notes}. On
// cloud throttle, falls back to a deterministic heuristic over the
// grounding stats so the loop keeps moving with honest signal.
//
// This is the policy layer scrum was missing — pre-2026-04-25 the
// scrum_master applied a hardcoded grounding-rate threshold inline,
// which baked judgment into the wrong layer. Now scrum reports data
// (response + source + stats) and observer decides accept/reject/cycle.
if (req.method === "POST" && url.pathname === "/review") {
return req.json().then((body: any) => handReview(body))
.then((verdict) => new Response(JSON.stringify(verdict), {
headers: { "content-type": "application/json" },
}))
.catch((e: Error) =>
new Response(JSON.stringify({ verdict: "accept", notes: `observer error: ${e.message}`, source: "heuristic" }), {
status: 200, // fall-open shape — scrum keeps moving on observer failure
headers: { "content-type": "application/json" },
}));
}
if (req.method === "POST" && url.pathname === "/event") {
return req.json().then((body: any) => {
const op: ObservedOp = {
+1357 -16
View File
File diff suppressed because it is too large Load Diff
+259
View File
@@ -0,0 +1,259 @@
#!/usr/bin/env bun
// Real-world inference pipeline for Chicago building permits.
// Uses the unified matrix retriever (chicago_permits + entity_brief +
// sec_tickers + llm_team_runs + distilled_procedural) to enrich a
// Grok 4.1 fast analysis. Observer hand-reviews each result.
//
// First true USE of the matrix architecture on real ingested data —
// not the scrum self-improvement loop, the staffing intelligence loop.
//
// Usage:
// bun run scripts/analyze_chicago_contracts.ts [N]
// N = number of permits to analyze (default 5)
const GATEWAY = process.env.LAKEHOUSE_URL ?? "http://localhost:3100";
const OBSERVER = process.env.LH_OBSERVER_URL ?? "http://localhost:3800";
const RAW_BUCKET = "raw";
const MC_ALIAS = "local";
const STAGE_DIR = "/tmp/chicago_analyze";
const OUTPUT = "/home/profit/lakehouse/data/_kb/contract_analyses.jsonl";
const CONTRACT_CORPORA = [
"chicago_permits_v1",
"entity_brief_v1",
"sec_tickers_v1",
"llm_team_runs_v1",
"llm_team_response_cache_v1",
"distilled_procedural_v20260423102847",
];
interface Permit {
permit_?: string;
permit_type?: string;
permit_status?: string;
work_description?: string;
reported_cost?: string | number;
contact_1?: any;
contact_2?: any;
contact_3_name?: string;
street_number?: string;
street_direction?: string;
street_name?: string;
suffix?: string;
issue_date?: string;
community_area?: string;
ward?: string;
[k: string]: any;
}
interface MatrixHit {
source_corpus: string;
score: number;
doc_id: string;
text: string;
}
function log(msg: string) { console.log(`[contract ${new Date().toISOString().slice(11,19)}] ${msg}`); }
async function fetchPermits(n: number): Promise<Permit[]> {
const fs = await import("node:fs/promises");
await fs.mkdir(STAGE_DIR, { recursive: true });
const local = `${STAGE_DIR}/permits.json`;
const proc = Bun.spawn(["mc", "cp", "-q", `${MC_ALIAS}/${RAW_BUCKET}/chicago/permits_2026-04-25.json`, local]);
await proc.exited;
const all: Permit[] = JSON.parse(await Bun.file(local).text());
// Pick high-cost permits with named contractors — most interesting for staffing analysis.
// Field is `contact_1_name`, not `contact_1`. reported_cost is integer-like string.
const meaningful = all.filter(p =>
p.reported_cost && Number(p.reported_cost) >= 100000 &&
(p.contact_1_name || p.contact_2_name)
);
log(`raw permits: ${all.length} · meaningful (cost >= $100k + has contractor): ${meaningful.length}`);
// Sample evenly across the meaningful set
const sampled: Permit[] = [];
const stride = Math.max(1, Math.floor(meaningful.length / n));
for (let i = 0; i < meaningful.length && sampled.length < n; i += stride) {
sampled.push(meaningful[i]);
}
return sampled;
}
function permitToText(p: Permit): string {
const addr = `${p.street_number ?? ""} ${p.street_direction ?? ""} ${p.street_name ?? ""} ${p.suffix ?? ""}`.replace(/\s+/g, " ").trim();
const c1 = (p as any).contact_1_name ?? (typeof p.contact_1 === "string" ? p.contact_1 : (p.contact_1?.name ?? ""));
const c2 = (p as any).contact_2_name ?? (typeof p.contact_2 === "string" ? p.contact_2 : (p.contact_2?.name ?? ""));
return [
`Chicago Building Permit ${p.permit_ ?? "?"}`,
`Type: ${p.permit_type ?? "?"} · Status: ${p.permit_status ?? "?"}`,
`Address: ${addr} · Community ${p.community_area ?? "?"} · Ward ${p.ward ?? "?"}`,
`Issued: ${p.issue_date ?? "?"}`,
`Reported cost: $${Number(p.reported_cost ?? 0).toLocaleString()}`,
`Primary contractor: ${c1 || "unknown"}`,
c2 ? `Secondary: ${c2}` : "",
`Owner: ${p.contact_3_name ?? "?"}`,
`Work description: ${(p.work_description ?? "").slice(0, 800)}`,
].filter(Boolean).join("\n");
}
async function fetchMatrixHits(query: string): Promise<{ hits: MatrixHit[]; by_corpus: Record<string, number>; latency_ms: number }> {
const t0 = Date.now();
const all: MatrixHit[] = [];
const byCorpus: Record<string, number> = {};
await Promise.all(CONTRACT_CORPORA.map(async (idx) => {
try {
const r = await fetch(`${GATEWAY}/vectors/search`, {
method: "POST",
headers: { "content-type": "application/json" },
body: JSON.stringify({ index_name: idx, query, top_k: 3 }),
signal: AbortSignal.timeout(15000),
});
if (!r.ok) { byCorpus[idx] = -1; return; }
const data: any = await r.json();
const results = data.results ?? [];
byCorpus[idx] = results.length;
for (const h of results) {
all.push({
source_corpus: idx,
score: Number(h.score ?? 0),
doc_id: String(h.doc_id ?? "?"),
text: String(h.chunk_text ?? "").slice(0, 400),
});
}
} catch { byCorpus[idx] = -1; }
}));
all.sort((a, b) => b.score - a.score);
return { hits: all.slice(0, 10), by_corpus: byCorpus, latency_ms: Date.now() - t0 };
}
function buildMatrixPreamble(hits: MatrixHit[]): string {
if (hits.length === 0) return "";
const lines = [
`═══ 📖 MATRIX CONTEXT — ${hits.length} relevant hits across the knowledge base ═══`,
"Reference material from prior contractor data, SEC tickers, LLM team analyses, and distilled procedures. Use as evidence; do NOT invent.",
"",
];
for (let i = 0; i < hits.length; i++) {
const h = hits[i];
lines.push(`[${i + 1}] ${h.source_corpus} (score=${h.score.toFixed(2)}, doc=${h.doc_id}): ${h.text.replace(/\s+/g, " ").trim()}`);
}
lines.push("═══");
lines.push("");
return lines.join("\n");
}
async function chat(model: string, prompt: string): Promise<{ content: string; error?: string }> {
try {
const r = await fetch(`${GATEWAY}/v1/chat`, {
method: "POST",
headers: { "content-type": "application/json" },
body: JSON.stringify({
provider: "openrouter",
model,
messages: [{ role: "user", content: prompt }],
max_tokens: 1500,
temperature: 0.1,
}),
signal: AbortSignal.timeout(90000),
});
if (!r.ok) return { content: "", error: `HTTP ${r.status}: ${(await r.text()).slice(0, 200)}` };
const j: any = await r.json();
return { content: j.choices?.[0]?.message?.content ?? "" };
} catch (e: any) { return { content: "", error: e.message }; }
}
async function observerReview(input: { permit_id: string; model: string; response: string; permit_text: string }): Promise<{ verdict: string; confidence: number; notes: string; source: string }> {
try {
const r = await fetch(`${OBSERVER}/review`, {
method: "POST",
headers: { "content-type": "application/json" },
body: JSON.stringify({
file_path: `chicago_permit/${input.permit_id}`,
model: input.model,
response: input.response,
source_content: input.permit_text,
grounding_stats: { total: 0, grounded: 0, groundedPct: null },
attempt: 1,
}),
signal: AbortSignal.timeout(90000),
});
if (!r.ok) return { verdict: "accept", confidence: 50, notes: `observer ${r.status}`, source: "fallthrough" };
return await r.json();
} catch (e: any) { return { verdict: "accept", confidence: 50, notes: `observer error: ${e.message}`, source: "fallthrough" }; }
}
async function analyzeOne(p: Permit, idx: number, total: number): Promise<any> {
const permit_id = p.permit_ ?? `unknown_${idx}`;
const t0 = Date.now();
log(`══ permit ${idx + 1}/${total} · ${permit_id} · type=${p.permit_type} · cost=$${Number(p.reported_cost ?? 0).toLocaleString()}`);
const permitText = permitToText(p);
// Build matrix query: combine type + work description + contractor name for retrieval anchoring
const c1 = (p as any).contact_1_name ?? (typeof p.contact_1 === "string" ? p.contact_1 : (p.contact_1?.name ?? ""));
const matrixQuery = `${p.permit_type ?? ""} ${(p.work_description ?? "").slice(0, 300)} ${c1}`;
const matrix = await fetchMatrixHits(matrixQuery);
const corporaSummary = Object.entries(matrix.by_corpus).map(([k, v]) => `${k.split("_v")[0]}=${v}`).join(" ");
log(` 📖 matrix: ${matrix.hits.length} hits in ${matrix.latency_ms}ms · ${corporaSummary}`);
const preamble = buildMatrixPreamble(matrix.hits);
const task = `${preamble}You are a staffing-intelligence analyst reviewing a real Chicago building permit. Using the MATRIX CONTEXT above as evidence, produce a structured analysis:
PERMIT:
${permitText}
Produce a markdown analysis with:
1. **Permit summary** — 2 sentences on what this is
2. **Contractor signal** — what we know about the named contractor(s) from matrix context (cite [N] hits). If unknown, say so.
3. **Staffing fit** — what trades/headcount/skills this permit implies
4. **Risk flags** — anything in matrix context that suggests caution (debarment, prior incidents, low-quality history). If none, say so.
5. **Opportunity score** — 0-100 with one-sentence rationale
Cite matrix hits as [N] inline. If matrix has no relevant hits, say "no matrix evidence" — do NOT invent contractor history.`;
const resp = await chat("x-ai/grok-4.1-fast", task);
if (resp.error) {
log(` ✗ chat error: ${resp.error.slice(0, 100)}`);
return { permit_id, ok: false, error: resp.error, ts: new Date().toISOString() };
}
log(` ✓ analysis ${resp.content.length} chars`);
const verdict = await observerReview({ permit_id, model: "openrouter/x-ai/grok-4.1-fast", response: resp.content, permit_text: permitText });
log(` observer: ${verdict.verdict} (conf=${verdict.confidence}, src=${verdict.source})`);
return {
permit_id, ok: true,
permit_type: p.permit_type, cost: Number(p.reported_cost ?? 0),
contractor: c1, matrix_hits: matrix.hits.length, matrix_corpora: matrix.by_corpus, matrix_ms: matrix.latency_ms,
analysis: resp.content,
observer_verdict: verdict.verdict, observer_conf: verdict.confidence, observer_notes: verdict.notes, observer_src: verdict.source,
duration_ms: Date.now() - t0, ts: new Date().toISOString(),
};
}
async function main() {
const n = Number(process.argv[2] ?? 5);
log(`fetching ${n} permits from raw bucket...`);
const permits = await fetchPermits(n);
log(`analyzing ${permits.length} permits sequentially...`);
const fs = await import("node:fs/promises");
const { appendFile } = fs;
const results: any[] = [];
for (let i = 0; i < permits.length; i++) {
const r = await analyzeOne(permits[i], i, permits.length);
results.push(r);
await appendFile(OUTPUT, JSON.stringify(r) + "\n");
}
log(`\n══ SUMMARY ══`);
const ok = results.filter(r => r.ok).length;
const accepted = results.filter(r => r.observer_verdict === "accept").length;
const cycled = results.filter(r => r.observer_verdict === "cycle").length;
const rejected = results.filter(r => r.observer_verdict === "reject").length;
const avgHits = results.reduce((a, r) => a + (r.matrix_hits ?? 0), 0) / Math.max(1, results.length);
log(` permits analyzed: ${ok}/${results.length}`);
log(` observer: accept=${accepted} cycle=${cycled} reject=${rejected}`);
log(` avg matrix hits per permit: ${avgHits.toFixed(1)}`);
log(` output: ${OUTPUT}`);
}
main().catch(e => { console.error(`FATAL: ${e.message}`); process.exit(1); });
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#!/bin/bash
# One-shot dump of all testing data into the `raw` MinIO bucket.
# Persistent test corpus so we don't re-extract every run.
#
# Layout:
# raw/
# staffing/ — workers_500k.parquet, resumes.parquet
# entities/ — entities.jsonl, sec_company_tickers.json
# llm_team/ — *.jsonl extracts from knowledge_base PG tables
# chicago/ — permits_<date>.json (last 30 days)
# MANIFEST.json — documents what's here + when
set -euo pipefail
REPO=/home/profit/lakehouse
BUCKET=raw
ALIAS=local
STAGE=$(mktemp -d /tmp/raw_dump.XXXXX)
trap 'rm -rf "$STAGE"' EXIT
DATE=$(date -u +%Y-%m-%d)
log() { echo "[dump $(date -u +%H:%M:%S)] $*"; }
log "creating bucket ${ALIAS}/${BUCKET} (idempotent)"
mc mb --ignore-existing ${ALIAS}/${BUCKET}
# ─── 1. STAFFING ───
log "staffing/ — workers_500k.parquet (323 MB) + resumes.parquet"
mc cp -q ${REPO}/data/datasets/workers_500k.parquet ${ALIAS}/${BUCKET}/staffing/workers_500k.parquet
mc cp -q ${REPO}/data/datasets/resumes.parquet ${ALIAS}/${BUCKET}/staffing/resumes.parquet
# ─── 2. ENTITIES + SEC + GEO ───
log "entities/ — contractor entities cache + SEC tickers + svep + tif districts"
mc cp -q ${REPO}/data/_entity_cache/entities.jsonl ${ALIAS}/${BUCKET}/entities/entities.jsonl
mc cp -q ${REPO}/data/_entity_cache/sec_company_tickers.json ${ALIAS}/${BUCKET}/sec/company_tickers.json
mc cp -q ${REPO}/data/_entity_cache/svep_log.json ${ALIAS}/${BUCKET}/entities/svep_log.json
mc cp -q ${REPO}/data/_entity_cache/tif_districts.geojson ${ALIAS}/${BUCKET}/chicago/tif_districts.geojson
# ─── 3. LLM TEAM HISTORY (Postgres → JSONL → S3) ───
log "llm_team/ — extracting from knowledge_base PG tables"
LLM_TABLES=(team_runs pipeline_runs lab_experiments lab_trials meta_pipelines meta_runs conversations response_cache memory_entries adaptive_runs)
for tbl in "${LLM_TABLES[@]}"; do
out=${STAGE}/${tbl}.jsonl
rows=$(sudo -u postgres psql -d knowledge_base -At -c "SELECT COUNT(*) FROM ${tbl};" 2>/dev/null || echo 0)
if [ "$rows" -eq 0 ]; then
log " · ${tbl}: 0 rows, skipping"
continue
fi
sudo -u postgres psql -d knowledge_base -At -c "COPY (SELECT row_to_json(t) FROM ${tbl} t) TO STDOUT;" > "$out" 2>/dev/null
size=$(du -h "$out" | awk '{print $1}')
log " · ${tbl}: ${rows} rows (${size})"
mc cp -q "$out" ${ALIAS}/${BUCKET}/llm_team/${tbl}.jsonl
done
# ─── 4. CHICAGO PERMITS (last 30 days, paginated) ───
log "chicago/ — pulling last 30 days of permits from data.cityofchicago.org"
since=$(date -u -d '30 days ago' +%Y-%m-%d)
out=${STAGE}/permits_${DATE}.json
url="https://data.cityofchicago.org/resource/ydr8-5enu.json?\$where=issue_date%3E='${since}'&\$limit=10000&\$order=issue_date%20DESC"
if curl -sf --max-time 60 "$url" -o "$out"; then
count=$(python3 -c "import json; print(len(json.load(open('${out}'))))")
size=$(du -h "$out" | awk '{print $1}')
log " · permits since ${since}: ${count} records (${size})"
mc cp -q "$out" ${ALIAS}/${BUCKET}/chicago/permits_${DATE}.json
else
log " · WARN: chicago permits fetch failed; skipping"
fi
# ─── 5. MANIFEST ───
log "writing MANIFEST.json"
manifest=${STAGE}/MANIFEST.json
python3 - <<PY
import json, subprocess, datetime
out = subprocess.check_output(['mc','ls','-r','--json','${ALIAS}/${BUCKET}'], text=True)
items = []
for line in out.strip().split('\n'):
if not line: continue
o = json.loads(line)
items.append({'key': o.get('key',''), 'size': o.get('size',0)})
total_size = sum(i['size'] for i in items)
manifest = {
'bucket': '${BUCKET}',
'created_at': datetime.datetime.utcnow().isoformat() + 'Z',
'total_objects': len(items),
'total_size_bytes': total_size,
'total_size_human': f'{total_size / (1024*1024):.1f} MB',
'items': items,
}
with open('${manifest}','w') as f:
json.dump(manifest, f, indent=2)
PY
mc cp -q "$manifest" ${ALIAS}/${BUCKET}/MANIFEST.json
log "DONE. Bucket contents:"
mc ls -r ${ALIAS}/${BUCKET} | head -30
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#!/usr/bin/env bun
// Seal the iter-4 successful agent trace as a playbook in the matrix,
// then verify the matrix can retrieve it via a similarity query.
//
// This closes the architectural loop: agent run → success → seal →
// future retrieval surfaces this approach as proven.
import { readFile } from "node:fs/promises";
const GATEWAY = "http://localhost:3100";
// Default to live workspace; override with first arg for archived sessions.
const SESSION_DIR = process.argv[2] ?? "/home/profit/lakehouse/tests/agent_test";
async function main() {
const trace = (await readFile(`${SESSION_DIR}/_trace.jsonl`, "utf8"))
.split("\n").filter(l => l.trim()).map(l => JSON.parse(l));
const finalMd = await readFile(`${SESSION_DIR}/_final.md`, "utf8");
// Extract tool sequence from trace
const toolCalls = trace.filter(t => t.kind === "tool_call");
const toolSeq = toolCalls.map(t => t.tool).join(" → ");
const totalSteps = toolCalls.length;
const totalLatency = trace.filter(t => t.latency_ms).reduce((a, t) => a + (t.latency_ms ?? 0), 0);
console.log(`iter-4 trace: ${trace.length} events, ${totalSteps} tool calls, ${(totalLatency/1000).toFixed(1)}s total`);
console.log(`tool sequence: ${toolSeq}`);
console.log(`final output: ${finalMd.length} chars`);
// Build playbook entry: this captures the proven approach for the
// task class "chicago_permit_staffing_analysis" so a future agent
// querying for similar work surfaces this trace as a reference.
const operation = `Chicago permit staffing analysis — qwen3.5:latest agent, ${totalSteps}-step success`;
const approach = `PROVEN AGENT WORKFLOW (validated 2026-04-25 iter 4):
1. PLAN FIRST via note() — explicit step list before any execution
2. list_permits(min_cost=N) — get high-cost candidates
3. SKIP government agencies (CDOT, City of Chicago) — pick private contractor
4. read_permit(id) — get full permit fields including contact_1_name, work_description, reported_cost
5. query_matrix("<contractor_name> contractor Chicago <work_type>", top_k=3-5) — pull cross-corpus evidence
6. note() — single focused analysis of matrix evidence + gaps (do NOT loop on note())
7. done(summary=<5-section markdown>) — Permit Summary, Contractor Profile, Staffing Implications, Risk Signals, Recommendation
KEY LESSONS:
- llm_team_runs_v1 + llm_team_response_cache_v1 are noise corpora — exclude
- Useful corpora: chicago_permits_v1, entity_brief_v1, sec_tickers_v1, distilled_procedural_v20260423102847
- Matrix often returns "no specific evidence" for private contractors — that's OK, acknowledge gap honestly, do NOT invent history
- Recommendation should reflect actual evidence: "Investigate-Further" when matrix is empty, not generic "Pursue"
- Total wall ≈30s for 6 tool calls`;
const context = `PRD: tests/agent_test/PRD.md
Tools: list_permits, read_permit, query_matrix, note, read_scratchpad, done
Corpora (validated useful): chicago_permits_v1 (3420 chunks), entity_brief_v1 (634), sec_tickers_v1 (10341), distilled_procedural_v20260423102847
Model: qwen3.5:latest (local Ollama, think:false)
Source data: 2,853 Chicago building permits (last 30d), 552 with cost >= $100K and named contractors
Output spec: 5-section markdown (Permit Summary, Contractor Profile, Staffing Implications, Risk Signals, Recommendation), 600-1000 words`;
// endorsed_names: keywords that should match similar future queries
const endorsedNames = [
"qwen3.5:latest",
"chicago_permit_analysis",
"private_contractor_review",
"matrix_retrieval_workflow",
"list_permits_read_query_done",
];
// playbook_memory/seed expects "fill: Role xN in City, ST" shape — wrong tool for
// a general agent-task playbook. Use pathway_memory/insert instead — it's the
// general task_class + file_prefix store we built for ADR-021.
console.log("\n──── SEALING via pathway_memory/insert ────");
const taskClass = "chicago_permit_analysis";
const filePath = "tests/agent_test/permit_100994035";
const signalClass = "private_contractor_recommendation";
// pathway_id = SHA256(task_class + "|" + file_prefix + "|" + signal_class)
// where file_prefix = first 2 path segments. Matches gateway's hot-swap logic.
const filePrefix = filePath.split("/").slice(0, 2).join("/");
const hasher = new Bun.CryptoHasher("sha256");
hasher.update(`${taskClass}|${filePrefix}|${signalClass}`);
const pathwayId = hasher.digest("hex");
console.log(`pathway_id: ${pathwayId}`);
const traceEntry = {
pathway_id: pathwayId,
task_class: taskClass,
file_path: filePath,
signal_class: signalClass,
created_at: new Date().toISOString(),
ladder_attempts: toolCalls.map((t, i) => ({
rung: i + 1,
model: t.tool === "done" ? "qwen3.5:latest+done" : `qwen3.5:latest+${t.tool}`,
latency_ms: t.latency_ms ?? 0,
accepted: t.tool === "done",
reject_reason: null,
})),
kb_chunks: [
{ source_doc: "chicago_permits_v1", chunk_id: "permit_100994035", cosine_score: 0.6, rank: 0 },
{ source_doc: "entity_brief_v1", chunk_id: "entity_jim_panella_search", cosine_score: 0.58, rank: 1 },
{ source_doc: "sec_tickers_v1", chunk_id: "sec_no_match", cosine_score: 0.5, rank: 2 },
],
observer_signals: [],
bridge_hits: [],
sub_pipeline_calls: [],
audit_consensus: null,
reducer_summary: `${approach}\n\n──── FINAL OUTPUT ────\n${finalMd}`,
final_verdict: "accepted",
pathway_vec: new Array(32).fill(0), // gateway computes/replaces if it does
replay_count: 0,
replays_succeeded: 0,
semantic_flags: [],
type_hints_used: [],
bug_fingerprints: [],
retired: false,
};
// Use Mem0-style upsert (J 2026-04-25). NOOP if a live trace with
// identical workflow already exists; UPDATE bumps replay_count;
// ADD if no match.
const seal = await fetch(`${GATEWAY}/vectors/pathway/upsert`, {
method: "POST",
headers: { "content-type": "application/json" },
body: JSON.stringify(traceEntry),
signal: AbortSignal.timeout(30000),
});
if (!seal.ok) {
console.error(`✗ seal failed: ${seal.status} — ${(await seal.text()).slice(0, 300)}`);
process.exit(1);
}
const sealResult = await seal.json();
console.log(`✓ sealed via pathway/upsert: ${JSON.stringify(sealResult).slice(0, 300)}`);
// sealResult.outcome shape:
// {Added: {pathway_id, trace_uid}}
// {Updated: {pathway_id, trace_uid, replay_count}}
// {Noop: {pathway_id, trace_uid}}
const outcomeKey = Object.keys(sealResult.outcome ?? {})[0];
console.log(` Mem0 outcome: ${outcomeKey}`);
// ─── VERIFY: pathway_memory stats + bug_fingerprints query ───
console.log("\n──── VERIFYING RETRIEVAL ────");
const stats = await fetch(`${GATEWAY}/vectors/pathway/stats`, { signal: AbortSignal.timeout(10000) });
if (stats.ok) {
const s: any = await stats.json();
console.log(`pathway_memory stats: total=${s.total_pathways} retired=${s.retired} reuse_rate=${s.reuse_rate}`);
}
// Query for the same narrow fingerprint we just sealed — should retrieve
// our trace as a bug_fingerprint context (or via hot_swap if eligible).
const fpQuery = await fetch(`${GATEWAY}/vectors/pathway/bug_fingerprints`, {
method: "POST",
headers: { "content-type": "application/json" },
body: JSON.stringify({
task_class: "chicago_permit_analysis",
file_path: "tests/agent_test/permit_100994036", // different permit, same prefix
signal_class: "private_contractor_recommendation",
limit: 5,
}),
signal: AbortSignal.timeout(10000),
});
if (fpQuery.ok) {
const result: any = await fpQuery.json();
const fps = result.fingerprints ?? result;
console.log(`bug_fingerprints retrieval (sister permit, same prefix): ${JSON.stringify(fps).slice(0, 400)}`);
}
// Confirm the trace landed in state.json
const stateProbe = await Bun.file("/home/profit/lakehouse/data/_pathway_memory/state.json");
if (await stateProbe.exists()) {
const state: any = JSON.parse(await stateProbe.text());
let found = false;
for (const traces of Object.values(state.pathways ?? {}) as any[][]) {
for (const t of traces) {
if (t.task_class === "chicago_permit_analysis") { found = true; break; }
}
if (found) break;
}
console.log(`state.json contains chicago_permit_analysis trace: ${found}`);
}
}
main().catch(e => { console.error(`FATAL: ${e.message}`); process.exit(1); });
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#!/usr/bin/env bun
// Vectorize each raw-bucket corpus into a queryable matrix index.
// Reads from local raw/ dump (bun fetch from MinIO), shapes into
// {id, text} docs, POSTs to gateway /vectors/index, polls job to done.
//
// Targets one index per source with stable names so MATRIX_CORPORA_FOR_TASK
// can reference them. Idempotent: re-running rebuilds with a fresh _v2.
//
// Usage:
// bun run scripts/vectorize_raw_corpus.ts [source...]
// Default: runs all sources in order. Sources: chicago, entities, sec, llm_team_runs, llm_team_response
const GATEWAY = process.env.LAKEHOUSE_URL ?? "http://localhost:3100";
const RAW_BUCKET = "raw";
const MC_ALIAS = "local";
const STAGE_DIR = "/tmp/vectorize_raw";
interface Doc { id: string; text: string }
interface SourceSpec {
name: string; // CLI flag
index_name: string; // /vectors/index target
s3_key: string; // path under raw/
source_label: string; // gateway "source" field
chunk_size?: number;
overlap?: number;
extractor: (raw: string) => Doc[];
}
// Spawn mc to copy from S3 → local stage so we can read it
async function fetchFromRaw(key: string): Promise<string> {
const fs = await import("node:fs/promises");
await fs.mkdir(STAGE_DIR, { recursive: true });
const local = `${STAGE_DIR}/${key.replace(/\//g, "_")}`;
const proc = Bun.spawn(["mc", "cp", "-q", `${MC_ALIAS}/${RAW_BUCKET}/${key}`, local]);
await proc.exited;
if (proc.exitCode !== 0) throw new Error(`mc cp failed for ${key}`);
return local;
}
async function readJsonl(path: string): Promise<any[]> {
const text = await Bun.file(path).text();
return text.split("\n").filter(l => l.trim()).map(l => JSON.parse(l));
}
function truncate(s: string, n = 4000): string {
return s == null ? "" : (s.length > n ? s.slice(0, n) : s);
}
// Sanitize text before posting as JSON. Strips control chars and
// drops incomplete \uXXXX escape sequences which break Rust's
// serde JSON parser at the gateway. Llm_team response cache had
// rows with truncated \u escapes that 400'd the whole batch.
function sanitize(s: string): string {
if (!s) return "";
return s
.replace(/[\x00-\x08\x0B\x0C\x0E-\x1F\x7F]/g, "") // strip control chars
.replace(/\\/g, "") // strip ALL backslashes — kills any malformed \uXXXX in source data
.replace(/[\uD800-\uDFFF]/g, ""); // strip UTF-16 surrogates (lone ones from emoji split by truncate)
}
// ─── EXTRACTORS — one per source ───
// Each shapes raw rows into {id, text} for the gateway's chunker.
function extractChicagoPermits(raw: string): Doc[] {
const arr = JSON.parse(raw);
return arr.map((p: any, i: number) => {
const text = [
`Permit ${p.permit_ ?? p.permit_number ?? `unknown_${i}`}`,
`Type: ${p.permit_type ?? "?"} Status: ${p.permit_status ?? "?"}`,
`Address: ${p.street_number ?? ""} ${p.street_direction ?? ""} ${p.street_name ?? ""} ${p.suffix ?? ""}`.trim(),
`Issued: ${p.issue_date ?? "?"} Applied: ${p.application_start_date ?? "?"}`,
`Work: ${truncate(p.work_description ?? "", 800)}`,
`Estimated cost: ${p.reported_cost ?? p.estimated_cost ?? "?"}`,
`Contractors: ${p.contact_1 ?? ""} | ${p.contact_2 ?? ""}`,
`Owner: ${p.contact_3_name ?? ""} (${p.contact_3_type ?? ""})`,
`Subtypes: ${p.subtotal_paid ?? ""} community area=${p.community_area ?? ""} ward=${p.ward ?? ""}`,
].filter(Boolean).join("\n");
return { id: `permit_${p.permit_ ?? p.id ?? i}`, text };
});
}
function extractEntities(raw: string): Doc[] {
return raw.split("\n").filter(l => l.trim()).map((line, i) => {
try {
const e = JSON.parse(line);
const name = e.normalized_name ?? e.name ?? e.display_name ?? `entity_${i}`;
const text = [
`Entity: ${name}`,
`Display: ${e.display_name ?? name}`,
e.ticker ? `Ticker: ${e.ticker}` : "",
e.cik ? `CIK: ${e.cik}` : "",
e.aliases ? `Aliases: ${(e.aliases ?? []).join(", ")}` : "",
e.last_seen ? `Last seen: ${e.last_seen}` : "",
e.notes ? `Notes: ${truncate(JSON.stringify(e.notes), 600)}` : "",
`Raw: ${truncate(JSON.stringify(e), 1500)}`,
].filter(Boolean).join("\n");
return { id: `entity_${name}_${i}`, text };
} catch {
return { id: `entity_${i}`, text: line.slice(0, 1000) };
}
});
}
function extractSecTickers(raw: string): Doc[] {
// SEC tickers JSON: {"_fetched_at": ..., "rows": {"0": {cik_str, ticker, title}, ...}}
const obj = JSON.parse(raw);
// The actual rows are under .rows; fall back to top-level if no wrapper.
const rows = obj.rows ?? obj;
return Object.values(rows)
.filter((r: any) => r && typeof r === "object" && r.ticker)
.map((row: any, i: number) => ({
id: `sec_${row.ticker ?? i}`,
text: `Ticker: ${row.ticker}\nCompany: ${row.title ?? "?"}\nCIK: ${row.cik_str ?? "?"}`,
}));
}
function extractLlmTeamRuns(raw: string): Doc[] {
return raw.split("\n").filter(l => l.trim()).map((line, i) => {
try {
const r = JSON.parse(line);
const text = [
`Team run ${r.id ?? i}`,
`Mode: ${r.mode ?? "?"} Created: ${r.created_at ?? "?"}`,
r.prompt ? `Prompt: ${truncate(r.prompt, 1200)}` : "",
r.input ? `Input: ${truncate(typeof r.input === "string" ? r.input : JSON.stringify(r.input), 1200)}` : "",
r.output ? `Output: ${truncate(typeof r.output === "string" ? r.output : JSON.stringify(r.output), 2000)}` : "",
r.result ? `Result: ${truncate(typeof r.result === "string" ? r.result : JSON.stringify(r.result), 2000)}` : "",
r.metadata ? `Meta: ${truncate(JSON.stringify(r.metadata), 600)}` : "",
].filter(Boolean).join("\n");
return { id: `team_run_${r.id ?? i}`, text };
} catch {
return { id: `team_run_${i}`, text: line.slice(0, 2000) };
}
});
}
function extractLlmTeamResponseCache(raw: string): Doc[] {
return raw.split("\n").filter(l => l.trim()).map((line, i) => {
try {
const r = JSON.parse(line);
const text = [
`Cached response ${r.cache_key ?? r.id ?? i}`,
`Created: ${r.created_at ?? "?"}`,
r.prompt ? `Prompt: ${sanitize(truncate(r.prompt, 1500))}` : "",
r.response ? `Response: ${sanitize(truncate(r.response, 2500))}` : "",
r.model ? `Model: ${r.model}` : "",
].filter(Boolean).join("\n");
return { id: `resp_${r.cache_key ?? r.id ?? i}`, text };
} catch {
return { id: `resp_${i}`, text: sanitize(line.slice(0, 2000)) };
}
});
}
const SOURCES: SourceSpec[] = [
{ name: "chicago", index_name: "chicago_permits_v1", s3_key: "chicago/permits_2026-04-25.json",
source_label: "chicago_permits", chunk_size: 600, overlap: 80, extractor: extractChicagoPermits },
{ name: "entities", index_name: "entity_brief_v1", s3_key: "entities/entities.jsonl",
source_label: "entity_brief", chunk_size: 500, overlap: 60, extractor: extractEntities },
{ name: "sec", index_name: "sec_tickers_v1", s3_key: "sec/company_tickers.json",
source_label: "sec_tickers", chunk_size: 200, overlap: 20, extractor: extractSecTickers },
{ name: "llm_team_runs", index_name: "llm_team_runs_v1", s3_key: "llm_team/team_runs.jsonl",
source_label: "llm_team_runs", chunk_size: 800, overlap: 100, extractor: extractLlmTeamRuns },
{ name: "llm_team_response", index_name: "llm_team_response_cache_v1", s3_key: "llm_team/response_cache.jsonl",
source_label: "llm_team_response_cache", chunk_size: 800, overlap: 100, extractor: extractLlmTeamResponseCache },
];
async function vectorizeOne(spec: SourceSpec): Promise<{ ok: boolean; chunks: number; job_id?: string; err?: string }> {
const t0 = Date.now();
console.log(`\n━━━ ${spec.name} → ${spec.index_name} ━━━`);
console.log(`fetching s3://${RAW_BUCKET}/${spec.s3_key}`);
let local: string;
try { local = await fetchFromRaw(spec.s3_key); }
catch (e: any) { return { ok: false, chunks: 0, err: `fetch: ${e.message}` }; }
console.log(`reading + extracting...`);
const raw = await Bun.file(local).text();
const docs = spec.extractor(raw);
if (docs.length === 0) return { ok: false, chunks: 0, err: "0 docs after extraction" };
console.log(` ${docs.length} docs (avg ${Math.round(docs.reduce((a, d) => a + d.text.length, 0) / docs.length)} chars)`);
console.log(`POST /vectors/index ${spec.index_name} ...`);
const resp = await fetch(`${GATEWAY}/vectors/index`, {
method: "POST",
headers: { "content-type": "application/json" },
body: JSON.stringify({
index_name: spec.index_name,
source: spec.source_label,
documents: docs,
chunk_size: spec.chunk_size,
overlap: spec.overlap,
}),
signal: AbortSignal.timeout(300000),
});
if (!resp.ok) {
const body = await resp.text();
return { ok: false, chunks: 0, err: `HTTP ${resp.status}: ${body.slice(0, 300)}` };
}
const j: any = await resp.json();
const ms = Date.now() - t0;
console.log(` ✓ submitted: job=${j.job_id} chunks=${j.chunks} (extract+submit ${(ms/1000).toFixed(1)}s)`);
return { ok: true, chunks: j.chunks, job_id: j.job_id };
}
async function pollJob(jobId: string): Promise<{ status: string; processed: number; total: number }> {
const r = await fetch(`${GATEWAY}/vectors/jobs/${jobId}`, { signal: AbortSignal.timeout(5000) });
if (!r.ok) return { status: "unknown", processed: 0, total: 0 };
const j: any = await r.json();
return { status: j.status ?? "?", processed: j.processed ?? 0, total: j.total ?? 0 };
}
async function waitForJob(jobId: string, label: string, maxSec = 600): Promise<void> {
const t0 = Date.now();
let lastLog = 0;
while ((Date.now() - t0) / 1000 < maxSec) {
const s = await pollJob(jobId);
if (s.status === "complete" || s.status === "completed" || s.status === "done") {
console.log(` ✓ ${label} job ${jobId.slice(0,8)} complete (${s.processed}/${s.total} in ${((Date.now()-t0)/1000).toFixed(0)}s)`);
return;
}
if (s.status === "failed" || s.status === "error") {
console.log(` ✗ ${label} job ${jobId.slice(0,8)} failed at ${s.processed}/${s.total}`);
return;
}
if (Date.now() - lastLog > 15000) {
console.log(` · ${label} progress ${s.processed}/${s.total} (${s.status})`);
lastLog = Date.now();
}
await new Promise(r => setTimeout(r, 3000));
}
console.log(` ⚠ ${label} job ${jobId.slice(0,8)} still running after ${maxSec}s — leaving in background`);
}
async function main() {
const args = process.argv.slice(2);
const targets = args.length > 0 ? SOURCES.filter(s => args.includes(s.name)) : SOURCES;
console.log(`Vectorizing ${targets.length} source(s): ${targets.map(t => t.name).join(", ")}`);
const results: Array<{ name: string; result: any }> = [];
for (const spec of targets) {
try {
const r = await vectorizeOne(spec);
if (r.ok && r.job_id) await waitForJob(r.job_id, spec.name);
results.push({ name: spec.name, result: r });
} catch (e: any) {
console.error(`! ${spec.name}: ${e.message}`);
results.push({ name: spec.name, result: { ok: false, err: e.message } });
}
}
console.log(`\n━━━ SUMMARY ━━━`);
for (const { name, result } of results) {
console.log(` ${result.ok ? "✓" : "✗"} ${name.padEnd(20)} chunks=${result.chunks ?? 0} ${result.err ? `err=${result.err}` : ""}`);
}
}
main().catch(e => { console.error(`FATAL: ${e.message}`); process.exit(1); });
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@@ -0,0 +1,353 @@
#!/usr/bin/env bun
// Agent harness — runs local qwen3.5:latest as an autonomous agent
// against PRD.md. Exposes a tool-call loop. Every tool call is mirrored
// to the observer so we (J + Claude) can see what the agent is doing.
//
// Goal: prove the architecture's matrix retrieval + observer + scratchpad
// + playbook seal end-to-end on a real task by a real local agent.
//
// Iter 1: just run it. Watch where it gets stuck.
// Iter N: tune helpers based on what we observed.
import { appendFile, readFile } from "node:fs/promises";
import { existsSync, mkdirSync } from "node:fs";
const GATEWAY = "http://localhost:3100";
const SIDECAR = "http://localhost:3200";
const OBSERVER = "http://localhost:3800";
const PRD_PATH = "/home/profit/lakehouse/tests/agent_test/PRD.md";
const SCRATCHPAD_PATH = "/home/profit/lakehouse/tests/agent_test/_scratchpad.txt";
const TRACE_PATH = "/home/profit/lakehouse/tests/agent_test/_trace.jsonl";
const FINAL_PATH = "/home/profit/lakehouse/tests/agent_test/_final.md";
const PERMITS_RAW = "/tmp/vectorize_raw/chicago_permits_2026-04-25.json";
const AGENT_MODEL = process.env.AGENT_MODEL ?? "qwen3.5:latest";
const MAX_STEPS = Number(process.env.AGENT_MAX_STEPS ?? 15);
const SESSION_ID = `agent_${Date.now().toString(36)}`;
// Noisy corpora dropped after iter 1+2 (2026-04-25):
// llm_team_runs_v1 and llm_team_response_cache_v1 returned the SAME
// RAM-spec chunks (team_run_716/826 at score 0.59) regardless of query.
// LLM-team trace text is too generic; embeddings cluster on the
// hardware-spec boilerplate that recurs across rows. Re-enable once
// observer /relevance filter (task #2) lands or after re-vectorizing
// with smarter chunking that excludes hardware preamble.
const CORPORA = [
"chicago_permits_v1",
"entity_brief_v1",
"sec_tickers_v1",
"distilled_procedural_v20260423102847",
];
function log(msg: string) {
const ts = new Date().toISOString().slice(11, 19);
console.log(`[harness ${ts}] ${msg}`);
}
async function emitObserverEvent(payload: object) {
try {
await fetch(`${OBSERVER}/event`, {
method: "POST",
headers: { "content-type": "application/json" },
body: JSON.stringify({ source: "agent_test", session_id: SESSION_ID, ...payload, ts: new Date().toISOString() }),
signal: AbortSignal.timeout(5000),
});
} catch { /* observer down is non-fatal */ }
}
async function trace(entry: object) {
await appendFile(TRACE_PATH, JSON.stringify({ ts: new Date().toISOString(), session_id: SESSION_ID, ...entry }) + "\n");
}
// ─── TOOLS — what the agent can call ───
let permitsCache: any[] | null = null;
async function loadPermits(): Promise<any[]> {
if (permitsCache) return permitsCache;
if (!existsSync(PERMITS_RAW)) {
// Fetch from raw bucket via mc
const proc = Bun.spawn(["mc", "cp", "-q", "local/raw/chicago/permits_2026-04-25.json", PERMITS_RAW]);
await proc.exited;
}
permitsCache = JSON.parse(await readFile(PERMITS_RAW, "utf8"));
return permitsCache!;
}
async function tool_list_permits(args: { min_cost?: number; permit_type?: string }): Promise<string> {
const all = await loadPermits();
let filtered = all.filter(p => p.contact_1_name || p.contact_2_name);
if (args.min_cost) filtered = filtered.filter(p => Number(p.reported_cost ?? 0) >= args.min_cost!);
if (args.permit_type) filtered = filtered.filter(p => (p.permit_type ?? "").toLowerCase().includes(args.permit_type!.toLowerCase()));
filtered.sort((a, b) => Number(b.reported_cost ?? 0) - Number(a.reported_cost ?? 0));
const out = filtered.slice(0, 5).map(p =>
`- permit_id=${p.permit_} type=${p.permit_type} cost=$${Number(p.reported_cost ?? 0).toLocaleString()} contractor=${p.contact_1_name ?? "?"}`
).join("\n");
return `Top ${Math.min(5, filtered.length)} of ${filtered.length} matching permits:\n${out}`;
}
async function tool_read_permit(args: { permit_id: string }): Promise<string> {
const all = await loadPermits();
const p = all.find(x => x.permit_ === args.permit_id);
if (!p) return `permit ${args.permit_id} not found`;
const fields = ["permit_", "permit_type", "permit_status", "issue_date", "reported_cost",
"street_number", "street_direction", "street_name", "suffix", "community_area", "ward",
"contact_1_name", "contact_2_name", "contact_3_name", "work_description"];
return fields.map(f => `${f}: ${p[f] ?? ""}`).join("\n");
}
async function tool_query_matrix(args: { query: string; top_k?: number }): Promise<string> {
const k = args.top_k ?? 3;
const all: Array<{ corpus: string; score: number; doc_id: string; text: string }> = [];
const perCorpus: Record<string, number> = {};
await Promise.all(CORPORA.map(async (corpus) => {
try {
const r = await fetch(`${GATEWAY}/vectors/search`, {
method: "POST",
headers: { "content-type": "application/json" },
body: JSON.stringify({ index_name: corpus, query: args.query, top_k: k }),
signal: AbortSignal.timeout(10000),
});
if (!r.ok) { perCorpus[corpus] = -1; return; }
const data: any = await r.json();
const results = data.results ?? [];
perCorpus[corpus] = results.length;
for (const h of results) {
all.push({ corpus, score: Number(h.score ?? 0), doc_id: String(h.doc_id ?? "?"), text: String(h.chunk_text ?? "").slice(0, 300) });
}
} catch { perCorpus[corpus] = -1; }
}));
all.sort((a, b) => b.score - a.score);
const top = all.slice(0, 8);
// Per-corpus debug line first so observers can see distribution at a glance.
const dist = Object.entries(perCorpus).map(([k, v]) => `${k.split("_v")[0]}=${v}`).join(" ");
if (top.length === 0) return `no matrix evidence for: ${args.query}\n(per-corpus: ${dist})`;
return `(per-corpus: ${dist})\n` + top.map((h, i) => `[${i + 1}] ${h.corpus} score=${h.score.toFixed(2)} doc=${h.doc_id}\n ${h.text.replace(/\s+/g, " ").trim()}`).join("\n");
}
async function tool_note(args: { text: string }): Promise<string> {
const stamp = new Date().toISOString().slice(11, 19);
await appendFile(SCRATCHPAD_PATH, `[${stamp}] ${args.text}\n`);
return `noted (${args.text.length} chars)`;
}
async function tool_read_scratchpad(): Promise<string> {
if (!existsSync(SCRATCHPAD_PATH)) return "(empty)";
return await readFile(SCRATCHPAD_PATH, "utf8");
}
async function tool_done(args: { summary: string }): Promise<string> {
const fs = await import("node:fs/promises");
await fs.writeFile(FINAL_PATH, args.summary);
return `done; final saved to ${FINAL_PATH} (${args.summary.length} chars)`;
}
const TOOLS: Record<string, (args: any) => Promise<string>> = {
list_permits: tool_list_permits,
read_permit: tool_read_permit,
query_matrix: tool_query_matrix,
note: tool_note,
read_scratchpad: tool_read_scratchpad,
done: tool_done,
};
const TOOL_SCHEMA = `Available tools (call by emitting JSON like: {"tool": "name", "args": {...}}):
- list_permits(min_cost?: number, permit_type?: string) — top 5 by cost
- read_permit(permit_id: string) — full permit fields
- query_matrix(query: string, top_k?: number) — search KB
- note(text: string) — append to scratchpad
- read_scratchpad() — read your scratchpad
- done(summary: string) — finish; pass final markdown analysis`;
// ─── AGENT LOOP ───
async function callAgent(messages: Array<{role: string; content: string}>): Promise<string> {
// think:false disables hidden reasoning so all generated tokens go to
// visible response. qwen3.5:latest defaults to thinking and silently
// burns the token budget otherwise.
const r = await fetch(`${SIDECAR}/generate`, {
method: "POST",
headers: { "content-type": "application/json" },
body: JSON.stringify({
model: AGENT_MODEL,
prompt: messages.map(m => `${m.role.toUpperCase()}:\n${m.content}`).join("\n\n") + "\n\nASSISTANT:\n",
stream: false,
max_tokens: 1500,
think: false,
}),
signal: AbortSignal.timeout(180000),
});
if (!r.ok) throw new Error(`agent ${r.status}: ${(await r.text()).slice(0, 200)}`);
const j: any = await r.json();
return String(j.text ?? j.response ?? "").trim();
}
function extractToolCall(response: string): { tool: string; args: any } | null {
// Look for JSON block in the response
const fenced = response.match(/```(?:json)?\s*(\{[\s\S]+?\})\s*```/);
const candidate = fenced ? fenced[1] : (response.match(/\{[\s\S]*\}/)?.[0] ?? null);
if (!candidate) return null;
try {
const parsed = JSON.parse(candidate);
if (parsed.tool && typeof parsed.tool === "string") return { tool: parsed.tool, args: parsed.args ?? {} };
} catch { /* not JSON */ }
return null;
}
async function main() {
log(`session=${SESSION_ID} model=${AGENT_MODEL} max_steps=${MAX_STEPS}`);
// Reset workspace files for this session
for (const p of [SCRATCHPAD_PATH, TRACE_PATH, FINAL_PATH]) {
try { await Bun.write(p, ""); } catch { /* ignore */ }
}
const prd = await readFile(PRD_PATH, "utf8");
log(`loaded PRD (${prd.length} chars)`);
await emitObserverEvent({ event_kind: "agent_start", model: AGENT_MODEL });
// Pre-flight: pull prior accepted pathway traces for this task class
// and surface them as a "PROVEN APPROACHES" preamble. This closes the
// matrix loop — successful past runs now actively help the next agent.
let priorPlaybooks = "";
try {
const stateFile = Bun.file("/home/profit/lakehouse/data/_pathway_memory/state.json");
if (await stateFile.exists()) {
const state: any = JSON.parse(await stateFile.text());
const matched: any[] = [];
for (const traces of Object.values(state.pathways ?? {}) as any[][]) {
for (const t of traces) {
if (t.task_class === "chicago_permit_analysis" && t.final_verdict === "accepted" && !t.retired) {
matched.push(t);
}
}
}
matched.sort((a, b) => (b.created_at ?? "").localeCompare(a.created_at ?? ""));
if (matched.length > 0) {
const top = matched.slice(0, 2);
priorPlaybooks = "\n\n═══ 📖 PROVEN APPROACHES FROM PRIOR ACCEPTED RUNS ═══\n" +
top.map((t, i) =>
`[${i + 1}] pathway=${t.pathway_id?.slice(0, 12)} previously succeeded on ${t.file_path}\n` +
`Approach excerpt:\n${(t.reducer_summary ?? "").slice(0, 800)}`
).join("\n\n") +
"\n═══ end proven approaches ═══\n\nUse these as REFERENCE for what worked. Don't copy verbatim, but follow the same workflow shape (plan → list → read → matrix → analyze → done).\n";
log(`📖 found ${matched.length} prior accepted pathway(s) for chicago_permit_analysis — top ${top.length} prepended to agent context`);
} else {
log(`📖 no prior accepted pathways for chicago_permit_analysis (this is the first run)`);
}
}
} catch (e: any) {
log(`📖 pathway preamble skipped: ${e.message}`);
}
const systemMsg = `You are an autonomous agent. Read the PRD below and follow its instructions exactly.
${TOOL_SCHEMA}
To call a tool, respond with ONLY a JSON object: {"tool": "<name>", "args": {...}}
No markdown, no explanation around it. The harness will execute the tool and give you the result, then ask you what to do next.
When you are completely finished, call done(summary="<your final markdown>").`;
const messages: Array<{role: string; content: string}> = [
{ role: "system", content: systemMsg },
{ role: "user", content: `PRD:\n\n${prd}${priorPlaybooks}\n\nNow respond. Remember: PLAN first via note() before executing.` },
];
// Iter 3 surfaced: when the matrix returns real evidence, the agent
// gets analysis paralysis — keeps calling note() to refine instead of
// producing the final output. Guard: after MAX_CONSECUTIVE_NOTES
// note() calls in a row, harness injects a hard-stop user message
// telling the agent it MUST call done() next.
const MAX_CONSECUTIVE_NOTES = Number(process.env.AGENT_MAX_CONSECUTIVE_NOTES ?? 2);
let consecutiveNotes = 0;
let isDone = false;
for (let step = 1; step <= MAX_STEPS && !isDone; step++) {
log(`step ${step}/${MAX_STEPS} — calling agent...`);
const t0 = Date.now();
let response: string;
try {
response = await callAgent(messages);
} catch (e: any) {
log(` ✗ agent error: ${e.message}`);
await trace({ step, kind: "error", error: e.message });
await emitObserverEvent({ event_kind: "agent_error", step, error: e.message });
break;
}
const ms = Date.now() - t0;
log(` · agent responded ${response.length} chars in ${ms}ms`);
await trace({ step, kind: "agent_response", chars: response.length, latency_ms: ms, response: response.slice(0, 4000) });
const call = extractToolCall(response);
if (!call) {
log(` ⚠ no tool call extracted from response — agent may be confused`);
await trace({ step, kind: "no_tool_call", preview: response.slice(0, 500) });
await emitObserverEvent({ event_kind: "agent_no_tool", step, preview: response.slice(0, 200) });
// Push the agent: tell it to call a tool
messages.push({ role: "assistant", content: response });
messages.push({ role: "user", content: `Your last response did not contain a valid tool call. Respond with ONLY a JSON object like {"tool": "note", "args": {"text": "..."}}. No prose around it.` });
continue;
}
log(` → tool: ${call.tool}(${JSON.stringify(call.args).slice(0, 200)})`);
if (!TOOLS[call.tool]) {
const err = `unknown tool: ${call.tool}`;
log(` ✗ ${err}`);
await trace({ step, kind: "tool_unknown", tool: call.tool });
await emitObserverEvent({ event_kind: "tool_unknown", step, tool: call.tool });
messages.push({ role: "assistant", content: response });
messages.push({ role: "user", content: `Tool "${call.tool}" does not exist. Available: ${Object.keys(TOOLS).join(", ")}. Try again.` });
continue;
}
const resStart = Date.now();
let result: string;
try {
result = await TOOLS[call.tool](call.args);
} catch (e: any) {
result = `TOOL ERROR: ${e.message}`;
}
const resMs = Date.now() - resStart;
log(` ← ${result.slice(0, 200)}${result.length > 200 ? "..." : ""} (${resMs}ms)`);
await trace({ step, kind: "tool_call", tool: call.tool, args: call.args, result: result.slice(0, 4000), latency_ms: resMs });
await emitObserverEvent({ event_kind: "tool_call", step, tool: call.tool, result_chars: result.length });
if (call.tool === "done") {
isDone = true;
log(` ✓ DONE`);
await emitObserverEvent({ event_kind: "agent_done", step });
break;
}
// Track consecutive note() calls; force done() if too many in a row.
if (call.tool === "note") consecutiveNotes++;
else consecutiveNotes = 0;
messages.push({ role: "assistant", content: response });
if (consecutiveNotes >= MAX_CONSECUTIVE_NOTES) {
log(` ⚠ ${consecutiveNotes} consecutive note() calls — forcing done() next`);
await emitObserverEvent({ event_kind: "force_done_pressure", step, consecutive_notes: consecutiveNotes });
messages.push({ role: "user", content: `Tool result:\n${result}\n\nYou have called note() ${consecutiveNotes} times in a row without producing output. STOP NOTING. Call done(summary="<your final markdown>") NOW with whatever analysis you have. Do not call note() again. Respond with ONLY: {"tool": "done", "args": {"summary": "..."}}` });
consecutiveNotes = 0; // reset so we only push once per streak
} else {
messages.push({ role: "user", content: `Tool result:\n${result}\n\nWhat next?` });
}
}
if (!isDone) {
log(`✗ agent did not complete within ${MAX_STEPS} steps`);
await emitObserverEvent({ event_kind: "agent_max_steps", final_step: MAX_STEPS });
// Mem0: any partial trace this session inserted should be retired
// so future agents don't get a broken playbook in their preamble.
// We don't have a trace_uid for this session yet (insert happens
// on done); but if any prior trace has the same workflow shape as
// this session's tool sequence, retire it.
// For now, just log — actual retirement would happen if seal had run.
log(` ⚠ no playbook seal will be performed for failed run`);
}
log(`session ${SESSION_ID} ended. Trace: ${TRACE_PATH}`);
if (existsSync(FINAL_PATH)) log(`Final output: ${FINAL_PATH}`);
}
mkdirSync("/home/profit/lakehouse/tests/agent_test", { recursive: true });
main().catch(e => { console.error(`FATAL: ${e.message}`); process.exit(1); });
+228
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@@ -0,0 +1,228 @@
// Architecture smoke test — exercises the lakehouse substrate against
// the 500k-worker reference dataset. Proves the architecture's core
// claims from docs/PRD.md §Shared requirements end-to-end in <60s,
// without cloud calls.
//
// Each section tests ONE invariant. PASS or FAIL printed per section
// with the actual measurement. A FAIL tells us exactly where the
// architecture broke; the failure is the driver for the next commit.
//
// Run: bun run tests/architecture_smoke.ts
//
// Expected preconditions (checked at top):
// - gateway on :3100
// - sidecar on :3200 (for embed endpoint)
// - workers_500k dataset registered in catalog (500k rows)
// - workers_500k_v1 vector index built (50k chunks, 768d nomic)
// - primary bucket accessible
const GATEWAY = process.env.GATEWAY_URL ?? "http://localhost:3100";
const SIDECAR = process.env.SIDECAR_URL ?? "http://localhost:3200";
type Check = {
name: string;
ok: boolean;
measure?: string;
err?: string;
};
const results: Check[] = [];
function record(name: string, ok: boolean, measure?: string, err?: string) {
results.push({ name, ok, measure, err });
const marker = ok ? "✓" : "✗";
const detail = ok ? (measure ?? "") : (err ?? "");
console.log(` ${marker} ${name.padEnd(50)} ${detail}`);
}
async function http<T = any>(path: string, init?: RequestInit): Promise<T> {
const r = await fetch(`${GATEWAY}${path}`, {
...init,
headers: { "content-type": "application/json", ...(init?.headers ?? {}) },
});
if (!r.ok) throw new Error(`${path} ${r.status}: ${await r.text().catch(() => "?")}`);
return r.json() as Promise<T>;
}
async function main() {
const t0 = Date.now();
console.log(`\n━━━ Architecture smoke test ━━━`);
console.log(`Gateway: ${GATEWAY}`);
console.log(`Sidecar: ${SIDECAR}`);
console.log();
// ─── 1. Preconditions ─────────────────────────────────────────
console.log("【 1 · preconditions 】");
try {
const h = await fetch(`${GATEWAY}/health`);
record("gateway /health", h.ok, `HTTP ${h.status}`);
} catch (e) {
record("gateway /health", false, undefined, String(e));
}
try {
const h = await fetch(`${SIDECAR}/health`);
record("sidecar /health", h.ok, `HTTP ${h.status}`);
} catch (e) {
record("sidecar /health", false, undefined, String(e));
}
// ─── 2. Catalog — invariant: any dataset is queryable by name ──
console.log("\n【 2 · catalog lookup 】");
try {
const ds = await http<any[]>("/catalog/datasets");
const w500 = ds.find((d) => d.name === "workers_500k");
if (w500) {
record("workers_500k in catalog", true, `${w500.row_count ?? "?"} rows`);
} else {
record("workers_500k in catalog", false, undefined, "not found");
}
} catch (e) {
record("workers_500k in catalog", false, undefined, String(e));
}
// ─── 3. SQL at scale — PRD §shared: millions of rows, sub-second ──
console.log("\n【 3 · SQL at scale 】");
await timed("count(*) on workers_500k", async () => {
const j = await http<any>("/query/sql", {
method: "POST",
body: JSON.stringify({ sql: "SELECT COUNT(*) as n FROM workers_500k" }),
});
const n = j?.rows?.[0]?.n ?? 0;
if (n < 400_000) throw new Error(`only ${n} rows — expected ~500k`);
return `${n.toLocaleString()} rows`;
});
await timed("geo filter on workers_500k", async () => {
const j = await http<any>("/query/sql", {
method: "POST",
body: JSON.stringify({
sql: "SELECT COUNT(*) as n FROM workers_500k WHERE state = 'OH'",
}),
});
return `${(j?.rows?.[0]?.n ?? 0).toLocaleString()} Ohio workers`;
});
// ─── 4. Vector search — PRD §shared: AI embeddings over a profile index ──
// Gateway endpoint takes TEXT + embeds internally (uses the sidecar's
// /embed under the hood). We don't pre-embed on the client side.
console.log("\n【 4 · vector search 】");
await timed("vector /vectors/search on workers_500k_v1", async () => {
const j = await http<any>("/vectors/search", {
method: "POST",
body: JSON.stringify({
index_name: "workers_500k_v1",
query: "experienced welder for industrial work",
top_k: 10,
}),
});
const results = j?.results ?? [];
if (!Array.isArray(results) || results.length === 0) {
throw new Error(`no results: ${JSON.stringify(j).slice(0, 200)}`);
}
return `${results.length} results`;
});
// ─── 5. Hybrid SQL+vector — PRD §shared: scoped view via filter ──
console.log("\n【 5 · hybrid search 】");
await timed("hybrid: 'welder in Toledo, OH', SQL-filtered", async () => {
const j = await http<any>("/vectors/hybrid", {
method: "POST",
body: JSON.stringify({
index_name: "workers_500k_v1",
question: "experienced welder",
sql_filter: "state = 'OH' AND city = 'Toledo'",
k: 10,
}),
});
const results = j?.results ?? j?.hits ?? [];
if (!Array.isArray(results)) {
throw new Error(`malformed response: ${JSON.stringify(j).slice(0, 200)}`);
}
return `${results.length} Toledo-OH hits`;
});
// ─── 6. Playbook memory — PRD §shared: trials as first-class data ──
console.log("\n【 6 · playbook memory 】");
try {
const s = await http<any>("/vectors/playbook_memory/stats");
const entries = s?.entries_count ?? s?.count ?? 0;
record("playbook_memory populated", true, `${entries} entries`);
} catch (e) {
record("playbook_memory populated", false, undefined, String(e));
}
// ─── 7. Pathway memory (ADR-021) — the compounding layer ──
console.log("\n【 7 · pathway memory (ADR-021) 】");
try {
const s = await http<any>("/vectors/pathway/stats");
record(
"pathway_memory populated",
s.total_pathways > 0,
`${s.total_pathways} traces, ${s.retired} retired, ${s.with_audit_pass} audit-pass`,
);
// Probe the bug_fingerprints endpoint we rely on for preamble
const bf = await http<any>("/vectors/pathway/bug_fingerprints", {
method: "POST",
body: JSON.stringify({
task_class: "scrum_review",
file_path: "crates/queryd/src/delta.rs",
signal_class: null,
limit: 5,
}),
});
record(
"bug_fingerprints endpoint",
Array.isArray(bf.fingerprints),
`${bf.fingerprints?.length ?? 0} patterns`,
);
} catch (e) {
record("pathway_memory stats", false, undefined, String(e));
}
// ─── 8. Truth gate — SQL safety on query path ──
console.log("\n【 8 · truth gate (SQL safety) 】");
try {
const r = await fetch(`${GATEWAY}/query/sql`, {
method: "POST",
headers: { "content-type": "application/json" },
body: JSON.stringify({ sql: "DROP TABLE workers_500k" }),
});
record(
"destructive SQL blocked on /query/sql",
r.status === 403,
`HTTP ${r.status}`,
r.status === 403 ? undefined : `expected 403, got ${r.status}`,
);
} catch (e) {
record("destructive SQL blocked on /query/sql", false, undefined, String(e));
}
// ─── Summary ─────────────────────────────────────────────────
const elapsed = Date.now() - t0;
const passed = results.filter((r) => r.ok).length;
const failed = results.filter((r) => !r.ok).length;
console.log();
console.log(`━━━ Summary ━━━`);
console.log(` ${passed}/${passed + failed} passed · ${elapsed}ms elapsed`);
if (failed > 0) {
console.log();
console.log(`FAILED checks — these are the next things to fix:`);
for (const r of results) {
if (!r.ok) console.log(` ✗ ${r.name}: ${r.err ?? "?"}`);
}
process.exit(1);
}
console.log(`✓ architecture smoke passed`);
}
async function timed(name: string, fn: () => Promise<string | undefined>) {
const t0 = Date.now();
try {
const detail = await fn();
const ms = Date.now() - t0;
record(name, true, `${ms}ms ${detail ? `· ${detail}` : ""}`);
} catch (e) {
const ms = Date.now() - t0;
record(name, false, `${ms}ms`, String(e));
}
}
await main();
+21 -23
View File
@@ -394,11 +394,15 @@ export async function generate(model: string, prompt: string, opts: {
return text;
}
// Cloud generate — hits Ollama Cloud directly with the bearer key. Same
// /api/generate shape as local Ollama; `thinking` field (for gpt-oss:Nb)
// is discarded, only `response` is returned. Caller should budget
// num_predict ≥ 400 so thinking-model reasoning has room before the
// visible response starts.
// Cloud generate — routes through the lakehouse gateway's /v1/chat
// with provider="ollama_cloud". Phase 44 migration (2026-04-24): was
// hitting OLLAMA_CLOUD_URL/api/generate directly with a bearer key,
// bypassing the gateway's usage tracking + audit path. Now every call
// flows through /v1/chat so /v1/usage accounts for it. Gateway holds
// the OLLAMA_CLOUD_KEY; caller no longer needs it in env.
//
// Thinking-model budget note: num_predict ≥ 400 still matters, just
// expressed via max_tokens on the /v1/chat request.
export async function generateCloud(model: string, prompt: string, opts: {
max_tokens?: number;
temperature?: number;
@@ -406,41 +410,35 @@ export async function generateCloud(model: string, prompt: string, opts: {
bypass_budget?: boolean;
think?: boolean;
} = {}): Promise<string> {
if (!OLLAMA_CLOUD_KEY) {
throw new Error("OLLAMA_CLOUD_KEY not set; cannot reach Ollama Cloud");
}
assertContextBudget(model, prompt, {
system: opts.system,
max_tokens: opts.max_tokens,
bypass: opts.bypass_budget,
});
const messages: Array<{ role: string; content: string }> = [];
if (opts.system) messages.push({ role: "system", content: opts.system });
messages.push({ role: "user", content: prompt });
const body: Record<string, any> = {
model,
prompt,
stream: false,
options: {
temperature: opts.temperature ?? 0.3,
num_predict: Math.max(opts.max_tokens ?? 800, 400),
},
messages,
provider: "ollama_cloud",
temperature: opts.temperature ?? 0.3,
max_tokens: Math.max(opts.max_tokens ?? 800, 400),
};
if (opts.system) body.system = opts.system;
if (opts.think !== undefined) body.think = opts.think;
const resp = await fetch(`${OLLAMA_CLOUD_URL}/api/generate`, {
const resp = await fetch(`${GATEWAY}/v1/chat`, {
method: "POST",
headers: {
"Authorization": `Bearer ${OLLAMA_CLOUD_KEY}`,
"Content-Type": "application/json",
},
headers: { "Content-Type": "application/json" },
body: JSON.stringify(body),
});
if (!resp.ok) {
throw new Error(`Ollama Cloud ${resp.status}: ${await resp.text().catch(() => "?")}`);
throw new Error(`gateway /v1/chat ${resp.status}: ${await resp.text().catch(() => "?")}`);
}
const data: any = await resp.json();
const text = typeof data.response === "string" ? data.response : "";
const text = data?.choices?.[0]?.message?.content ?? "";
// Same non-throw policy as local generate() — empty text is a valid
// signal that thinking ate the budget. Let generateContinuable retry.
return text;
return typeof text === "string" ? text : "";
}
// --- Prompt construction ---
+214
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@@ -0,0 +1,214 @@
#!/usr/bin/env bun
// Autonomous scrum loop — wraps scrum_master_pipeline.ts + scrum_applier.ts
// in a goal-driven retry loop. Observer is POSTed an iteration summary at
// every boundary so it can build meta-commentary outside the loop's epistemic
// scope.
//
// Usage:
// LOOP_TARGETS="crates/a/src/x.rs,crates/b/src/y.rs" \
// LOOP_MAX_ITERS=5 \
// LOOP_PUSH=1 \
// bun run tests/real-world/autonomous_loop.ts
//
// Stop conditions: max_iters reached OR 2 consecutive iters with 0 commits.
import { spawn } from "node:child_process";
import { appendFile, readFile } from "node:fs/promises";
import { existsSync } from "node:fs";
const REPO = "/home/profit/lakehouse";
const OBSERVER = process.env.LOOP_OBSERVER ?? "http://localhost:3800";
const BRANCH = process.env.LOOP_BRANCH ?? "scrum/auto-apply-19814";
const MAX_ITERS = Number(process.env.LOOP_MAX_ITERS ?? 3);
const PUSH = process.env.LOOP_PUSH === "1";
const MIN_CONF = process.env.LOOP_MIN_CONF ?? "85";
// Optional override — when unset, let scrum_applier.ts use ITS default
// (currently x-ai/grok-4.1-fast on openrouter). The prior hardcoded
// qwen3-coder:480b default was clobbering the applier's own default
// and forcing every iter to hit the throttled ollama_cloud account.
const APPLIER_MODEL = process.env.LOOP_APPLIER_MODEL;
const APPLIER_PROVIDER = process.env.LOOP_APPLIER_PROVIDER;
const TARGETS = (process.env.LOOP_TARGETS ?? "crates/queryd/src/service.rs,crates/gateway/src/main.rs,crates/gateway/src/v1/mod.rs")
.split(",").map(s => s.trim()).filter(Boolean);
const FORENSIC = process.env.LH_SCRUM_FORENSIC ?? `${REPO}/docs/SCRUM_FORENSIC_PROMPT.md`;
const PROPOSAL = process.env.LH_SCRUM_PROPOSAL ?? `${REPO}/docs/SCRUM_FIX_WAVE.md`;
const LOOP_ID = `loop_${Date.now().toString(36)}`;
const JOURNAL = `${REPO}/data/_kb/autonomous_loops.jsonl`;
interface IterResult {
iter: number;
scrum_reviews_added: number;
applier_outcomes: Record<string, number>;
commits_landed: number;
commit_shas: string[];
build_status: "green" | "red" | "unknown";
duration_ms: number;
}
function log(msg: string) {
const ts = new Date().toISOString().slice(11, 19);
console.log(`[loop ${LOOP_ID} ${ts}] ${msg}`);
}
function runCmd(cmd: string, args: string[], env: Record<string, string> = {}): Promise<{ code: number; stdout: string; stderr: string }> {
return new Promise((resolve) => {
const child = spawn(cmd, args, { cwd: REPO, env: { ...process.env, ...env } });
let stdout = "", stderr = "";
child.stdout.on("data", (d) => { stdout += d; process.stdout.write(d); });
child.stderr.on("data", (d) => { stderr += d; process.stderr.write(d); });
child.on("close", (code) => resolve({ code: code ?? -1, stdout, stderr }));
});
}
async function countLines(path: string): Promise<number> {
if (!existsSync(path)) return 0;
const text = await readFile(path, "utf8");
return text.split("\n").filter(Boolean).length;
}
async function gitHeadSha(): Promise<string> {
const r = await runCmd("git", ["rev-parse", "HEAD"]);
return r.stdout.trim();
}
async function commitsSince(baseSha: string): Promise<string[]> {
const r = await runCmd("git", ["log", "--oneline", `${baseSha}..HEAD`]);
return r.stdout.trim().split("\n").filter(Boolean);
}
async function cargoCheckGreen(): Promise<boolean> {
log("cargo check --workspace …");
const r = await runCmd("cargo", ["check", "--workspace", "--quiet"]);
return r.code === 0;
}
async function postObserver(payload: object) {
try {
const r = await fetch(`${OBSERVER}/event`, {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify(payload),
signal: AbortSignal.timeout(5000),
});
if (!r.ok) log(`observer POST returned ${r.status}`);
} catch (e: any) {
log(`observer POST failed: ${e.message}`);
}
}
async function runIter(iter: number, baseSha: string): Promise<IterResult> {
const t0 = Date.now();
log(`══ iter ${iter} start (base ${baseSha.slice(0, 8)}) targets=${TARGETS.length}`);
const reviewsBefore = await countLines(`${REPO}/data/_kb/scrum_reviews.jsonl`);
const applyBefore = await countLines(`${REPO}/data/_kb/auto_apply.jsonl`);
log(`scrum_master_pipeline.ts → ${TARGETS.length} files`);
await runCmd("bun", ["run", "tests/real-world/scrum_master_pipeline.ts"], {
LH_SCRUM_FILES: TARGETS.join(","),
LH_SCRUM_FORENSIC: FORENSIC,
LH_SCRUM_PROPOSAL: PROPOSAL,
});
log(`scrum_applier.ts COMMIT=1 MIN_CONF=${MIN_CONF} files=${TARGETS.length}`);
// Only forward model/provider when explicitly overridden — otherwise
// let scrum_applier.ts use its own defaults (Grok 4.1 fast on openrouter).
const applierEnv: Record<string, string> = {
LH_APPLIER_COMMIT: "1",
LH_APPLIER_MIN_CONF: MIN_CONF,
LH_APPLIER_MAX_FILES: String(TARGETS.length),
LH_APPLIER_BRANCH: BRANCH,
// Constrain applier to THIS iter's targets so it patches what we
// just reviewed instead of the highest-confidence file from history.
LH_APPLIER_FILES: TARGETS.join(","),
};
if (APPLIER_MODEL) applierEnv.LH_APPLIER_MODEL = APPLIER_MODEL;
if (APPLIER_PROVIDER) applierEnv.LH_APPLIER_PROVIDER = APPLIER_PROVIDER;
await runCmd("bun", ["run", "tests/real-world/scrum_applier.ts"], applierEnv);
const reviewsAfter = await countLines(`${REPO}/data/_kb/scrum_reviews.jsonl`);
const applyAfterText = existsSync(`${REPO}/data/_kb/auto_apply.jsonl`)
? await readFile(`${REPO}/data/_kb/auto_apply.jsonl`, "utf8")
: "";
const applyRows = applyAfterText.split("\n").filter(Boolean).slice(applyBefore);
const outcomes: Record<string, number> = {};
for (const line of applyRows) {
try {
const o = JSON.parse(line);
outcomes[o.action ?? "?"] = (outcomes[o.action ?? "?"] ?? 0) + 1;
} catch { /* skip malformed */ }
}
const commitShas = await commitsSince(baseSha);
const buildStatus = commitShas.length > 0 ? (await cargoCheckGreen() ? "green" : "red") : "unknown";
const result: IterResult = {
iter,
scrum_reviews_added: reviewsAfter - reviewsBefore,
applier_outcomes: outcomes,
commits_landed: commitShas.length,
commit_shas: commitShas.map(s => s.split(" ")[0]),
build_status: buildStatus,
duration_ms: Date.now() - t0,
};
log(`iter ${iter} done — reviews+${result.scrum_reviews_added} commits=${result.commits_landed} build=${buildStatus} (${(result.duration_ms / 1000).toFixed(1)}s)`);
await postObserver({
source: "autonomous_loop",
loop_id: LOOP_ID,
event_kind: "iteration_complete",
iter,
targets: TARGETS,
success: buildStatus !== "red",
scrum_reviews_added: result.scrum_reviews_added,
applier_outcomes: result.applier_outcomes,
commits_landed: result.commits_landed,
commit_shas: result.commit_shas,
build_status: buildStatus,
duration_ms: result.duration_ms,
ts: new Date().toISOString(),
});
await appendFile(JOURNAL, JSON.stringify({ loop_id: LOOP_ID, ...result, ts: new Date().toISOString() }) + "\n");
return result;
}
async function main() {
log(`autonomous loop starting · branch=${BRANCH} max_iters=${MAX_ITERS} push=${PUSH}`);
log(`targets: ${TARGETS.join(", ")}`);
const branchR = await runCmd("git", ["branch", "--show-current"]);
if (branchR.stdout.trim() !== BRANCH) {
log(`ERROR: on branch ${branchR.stdout.trim()}, expected ${BRANCH}. Refusing to run.`);
process.exit(1);
}
let consecutiveZero = 0;
for (let iter = 1; iter <= MAX_ITERS; iter++) {
const baseSha = await gitHeadSha();
const result = await runIter(iter, baseSha);
if (PUSH && result.commits_landed > 0) {
log(`git push origin ${BRANCH}`);
const pushR = await runCmd("git", ["push", "origin", BRANCH]);
if (pushR.code !== 0) log(`push failed (continuing): ${pushR.stderr.slice(0, 200)}`);
}
consecutiveZero = result.commits_landed === 0 ? consecutiveZero + 1 : 0;
if (consecutiveZero >= 2) {
log(`STOP: 2 consecutive iters with 0 commits. Loop converged or stuck.`);
break;
}
}
log(`loop ${LOOP_ID} complete. Journal: ${JOURNAL}`);
}
main().catch((e) => {
log(`FATAL: ${e.message}`);
process.exit(1);
});
+487
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@@ -0,0 +1,487 @@
// scrum_applier.ts — the auto-apply pipeline.
//
// Turns the scrum master's signal into real commits. Reads
// data/_kb/scrum_reviews.jsonl, filters to rows where the scrum's
// own confidence is high enough to trust auto-apply (gradient_tier
// auto OR confidence_avg ≥ 90), asks a patch-emitting model to
// produce concrete old_string/new_string pairs, applies them via
// text replacement, runs `cargo check` after each, commits on green
// and reverts on red.
//
// Runs on its own branch (never on main). Every action is recorded
// in data/_kb/auto_apply.jsonl so the auditor and future iterations
// can see what landed and what reverted.
//
// Usage:
// bun run tests/real-world/scrum_applier.ts # dry-run, print only
// LH_APPLIER_COMMIT=1 bun run tests/real-world/scrum_applier.ts # actually apply
//
// Env:
// LH_APPLIER_BRANCH — branch name (default: "scrum/auto-apply-${Date.now()}")
// LH_APPLIER_MIN_CONF — minimum confidence_avg, default 90
// LH_APPLIER_MAX_FILES — cap on files per run (default 5, keeps diffs reviewable)
// LH_APPLIER_COMMIT — "1" to actually commit; otherwise dry-run
// LH_APPLIER_MODEL — patch-emitting model (default: kimi-k2:1t)
import { readFile, writeFile, appendFile } from "node:fs/promises";
import { existsSync } from "node:fs";
import { spawn } from "node:child_process";
const REPO = "/home/profit/lakehouse";
const GATEWAY = "http://localhost:3100";
const SCRUM_REVIEWS = `${REPO}/data/_kb/scrum_reviews.jsonl`;
const AUDIT_LOG = `${REPO}/data/_kb/auto_apply.jsonl`;
const MIN_CONF = Number(process.env.LH_APPLIER_MIN_CONF ?? 90);
const MAX_FILES = Number(process.env.LH_APPLIER_MAX_FILES ?? 5);
const COMMIT = process.env.LH_APPLIER_COMMIT === "1";
// LH_APPLIER_FILES — comma-separated repo-relative paths. When set,
// constrains eligible reviews to ONLY those files. Used by the autonomous
// loop so the applier patches what scrum just reviewed in this iter,
// instead of pulling the highest-confidence file from global review history.
const TARGET_FILES = (process.env.LH_APPLIER_FILES ?? "")
.split(",").map(s => s.trim()).filter(Boolean);
// Default patch-emitter model — qwen3-coder:480b is the coding specialist
// in the scrum ladder (rung 2). Swapped in from kimi-k2:1t after 2026-04-24
// data showed kimi-k2:1t produces architectural patches that cascade across
// the file (rename a field → 20 broken call sites). qwen3-coder is tuned
// for targeted code changes and tends to stay within the mechanical-patch
// constraint the prompt asks for. LLM Team's /api/run?mode=patch would be
// the ideal choice but that mode isn't registered in llm_team_ui.py yet.
// Default patch emitter swapped to OpenRouter Grok 4.1 fast (2026-04-25)
// after observing the prior default (ollama_cloud::qwen3-coder:480b) sit
// at 429 throttle and never produce patches. Grok 4.1 fast: $0.20/$0.50
// per M, 2M ctx, proven to emit precise structured patches in observer
// hand-review tests. Override with LH_APPLIER_MODEL + LH_APPLIER_PROVIDER.
const MODEL = process.env.LH_APPLIER_MODEL ?? "x-ai/grok-4.1-fast";
const PROVIDER = (process.env.LH_APPLIER_PROVIDER ?? "openrouter") as "ollama_cloud" | "openrouter" | "ollama";
const BRANCH = process.env.LH_APPLIER_BRANCH ?? `scrum/auto-apply-${Date.now().toString(36)}`;
// Deny-list — anything whose path starts with one of these is skipped
// regardless of how confident the scrum is. Config / systemd / docs /
// auditor itself are off limits for auto-apply; they need a human.
const DENY_PREFIXES = [
"config/",
"ops/",
"auditor/",
"docs/",
"data/",
"/etc/",
"mcp-server/",
"ui/",
"sidecar/",
"scripts/",
];
function log(msg: string) { console.log(`[applier] ${msg}`); }
async function sh(cmd: string[], cwd = REPO): Promise<{ stdout: string; stderr: string; code: number }> {
return new Promise((resolve) => {
const p = spawn(cmd[0], cmd.slice(1), { cwd, stdio: ["ignore", "pipe", "pipe"] });
let out = ""; let err = "";
p.stdout.on("data", (d) => { out += d.toString(); });
p.stderr.on("data", (d) => { err += d.toString(); });
p.on("close", (code) => resolve({ stdout: out, stderr: err, code: code ?? 1 }));
});
}
async function auditLog(row: Record<string, any>) {
const line = JSON.stringify({ ...row, ts: new Date().toISOString() }) + "\n";
await appendFile(AUDIT_LOG, line);
}
async function chat(opts: {
provider: "ollama_cloud" | "openrouter" | "ollama";
model: string;
prompt: string;
max_tokens?: number;
}): Promise<{ content: string; error?: string }> {
try {
const r = await fetch(`${GATEWAY}/v1/chat`, {
method: "POST",
headers: { "content-type": "application/json" },
body: JSON.stringify({
provider: opts.provider,
model: opts.model,
messages: [{ role: "user", content: opts.prompt }],
max_tokens: opts.max_tokens ?? 1500,
temperature: 0.1,
}),
signal: AbortSignal.timeout(180000),
});
if (!r.ok) return { content: "", error: `${r.status}: ${(await r.text()).slice(0, 300)}` };
const j: any = await r.json();
return { content: j.choices?.[0]?.message?.content ?? "" };
} catch (e) {
return { content: "", error: String(e) };
}
}
interface ScrumReview {
file: string;
reviewed_at: string;
accepted_model: string;
suggestions_preview: string;
confidences_per_finding?: number[];
confidence_avg?: number | null;
confidence_min?: number | null;
gradient_tier?: string;
gradient_tier_avg?: string;
verdict?: string;
critical_failures_count?: number;
schema_version?: number;
}
async function loadLatestReviews(): Promise<Map<string, ScrumReview>> {
// Map of file → latest review for that file. Ordered by reviewed_at.
if (!existsSync(SCRUM_REVIEWS)) return new Map();
const text = await readFile(SCRUM_REVIEWS, "utf8");
const rows: ScrumReview[] = text.split("\n").filter(Boolean).map(l => {
try { return JSON.parse(l); } catch { return null; }
}).filter((r): r is ScrumReview => r !== null);
// Keep the LATEST review per file.
const latest = new Map<string, ScrumReview>();
for (const r of rows) {
if (!r.file) continue;
const prev = latest.get(r.file);
if (!prev || (r.reviewed_at > prev.reviewed_at)) latest.set(r.file, r);
}
return latest;
}
function passesConfidenceGate(r: ScrumReview): boolean {
const avg = r.confidence_avg ?? 0;
const min = r.confidence_min ?? 0;
// Must be auto or dry_run tier AND confidence_min ≥ MIN_CONF.
// min is the conservative tier-lower-bound (one weak finding drags
// the whole file to "simulation" or "block" tier).
if (r.gradient_tier === "block" || r.gradient_tier === "simulation") return false;
return avg >= MIN_CONF && min >= 70;
}
function passesDenyList(file: string): boolean {
return !DENY_PREFIXES.some((p) => file.startsWith(p) || file === p.replace(/\/$/, ""));
}
interface Patch {
file: string;
old_string: string;
new_string: string;
rationale: string;
confidence: number;
}
async function requestPatches(file: string, source: string, review: string): Promise<Patch[]> {
const prompt = `You previously produced this review of ${file}:
─── REVIEW ───
${review}
─── END REVIEW ───
The review is high-confidence and the file is eligible for auto-apply. Produce CONCRETE PATCHES as JSON so they can be applied via string replacement.
HARD CONSTRAINTS (violations → patch rejected):
1. Output ONE JSON object with a "patches" array. NO prose, no markdown fences.
2. Each patch is {"old_string": "...", "new_string": "...", "rationale": "short", "confidence": 0-100}.
3. "old_string" MUST appear EXACTLY ONCE in the file (verbatim, including whitespace + trailing newlines).
4. Max diff size: 6 lines changed per patch (NOT 20). If the change needs >6 lines, emit {"patches": []} — too risky for auto-apply.
5. Mechanical-only (the list — nothing else):
(a) remove a #[allow(dead_code)] marker on a function now wired elsewhere
(b) add a missing 'use' import statement
(c) add a single field to a struct (no renames)
(d) flip a single boolean/match-arm that doesn't cascade
(e) add a fire-and-forget log or tracing call
6. FORBIDDEN (automatic reject):
• struct field RENAMES (break all call sites)
• function signature changes
• new modules, new traits, new dependencies
• any change that requires editing another file to keep it compiling
• adding a 'use' import whose symbol is NOT referenced in the same patch
or already referenced in the surrounding file (no "import and hope")
• rationale that describes functionality not present in the diff
(if rationale says "destructive SQL filter", the diff must contain SQL/filter tokens)
7. Each "new_string" MUST compile in isolation with the same surrounding code.
8. Max 2 patches per file — quality over quantity.
9. The "rationale" field MUST use vocabulary that appears in the new_string.
Generic rationales like "improve code" or "add missing feature" are rejected.
10. If you cannot produce at least one high-confidence mechanical patch under these constraints, output {"patches": []}. Don't guess.
─── SOURCE (${source.length} bytes) ───
${source.slice(0, 14000)}
─── END SOURCE ───
Emit ONLY the JSON object.`;
const r = await chat({ provider: PROVIDER, model: MODEL, prompt, max_tokens: 2500 });
if (r.error || !r.content) return [];
// Strip markdown fences if model wrapped the JSON.
let raw = r.content.trim();
const fenceStart = raw.match(/^```(?:json)?\s*/);
if (fenceStart) raw = raw.slice(fenceStart[0].length);
if (raw.endsWith("```")) raw = raw.slice(0, -3).trim();
// Find first { and last } to extract JSON block if there's prose.
const first = raw.indexOf("{");
const last = raw.lastIndexOf("}");
if (first >= 0 && last > first) raw = raw.slice(first, last + 1);
try {
const obj = JSON.parse(raw);
const patches: Patch[] = (obj.patches ?? []).filter((p: any) =>
typeof p?.old_string === "string" &&
typeof p?.new_string === "string" &&
p.old_string !== p.new_string &&
p.old_string.length > 0 &&
typeof p?.confidence === "number"
).map((p: any) => ({
file,
old_string: p.old_string,
new_string: p.new_string,
rationale: String(p.rationale ?? ""),
confidence: p.confidence,
}));
return patches;
} catch (e) {
log(` ${file}: patch JSON parse failed — ${String(e).slice(0, 100)}`);
return [];
}
}
async function applyPatches(file: string, patches: Patch[]): Promise<{ applied: number; rejected: Array<{patch: Patch; reason: string}> }> {
const full = `${REPO}/${file}`;
let source = await readFile(full, "utf8");
const rejected: Array<{patch: Patch; reason: string}> = [];
let applied = 0;
for (const p of patches) {
// Confidence gate at the individual-patch level.
if (p.confidence < MIN_CONF) { rejected.push({patch: p, reason: `confidence ${p.confidence} < ${MIN_CONF}`}); continue; }
// Uniqueness gate.
const occurrences = source.split(p.old_string).length - 1;
if (occurrences === 0) { rejected.push({patch: p, reason: "old_string not found"}); continue; }
if (occurrences > 1) { rejected.push({patch: p, reason: `old_string appears ${occurrences}× (not unique)`}); continue; }
// Size gate — no patch touches > 6 lines (diff discipline; matches prompt).
// Raised from 20 to 6 after 2026-04-24 data showed most 10-20 line patches
// cascaded and broke the build. Mechanical changes genuinely fit in 6 lines.
const oldLines = p.old_string.split("\n").length;
const newLines = p.new_string.split("\n").length;
if (Math.max(oldLines, newLines) > 6) { rejected.push({patch: p, reason: `patch too large (${Math.max(oldLines,newLines)} lines, max 6)`}); continue; }
source = source.replace(p.old_string, p.new_string);
applied++;
}
if (applied > 0) await writeFile(full, source);
return { applied, rejected };
}
async function cargoCheck(): Promise<{ green: boolean; warnings: number }> {
const r = await sh(["cargo", "check", "--workspace"]);
// Count warnings: cargo emits "warning:" lines on stderr (and sometimes stdout).
// We count unique "warning: <msg>" opening lines, not continuation context.
const combined = r.stdout + r.stderr;
const warnings = (combined.match(/^warning: /gm) || []).length;
return { green: r.code === 0, warnings };
}
async function gitCommit(file: string, patches: Patch[]): Promise<boolean> {
if (!COMMIT) { log(` (dry-run) would commit ${file}`); return true; }
const addR = await sh(["git", "add", file]);
if (addR.code !== 0) { log(` git add failed: ${addR.stderr.slice(0, 200)}`); return false; }
const msg = `auto-apply: ${patches.length} high-confidence fix${patches.length === 1 ? "" : "es"} in ${file}\n\n${patches.map(p => `- ${p.rationale} (conf ${p.confidence}%)`).join("\n")}\n\n🤖 scrum_applier.ts`;
const commitR = await sh(["git", "commit", "-m", msg]);
if (commitR.code !== 0) { log(` git commit failed: ${commitR.stderr.slice(0, 200)}`); return false; }
log(` ✓ committed ${file}`);
return true;
}
async function revertFile(file: string): Promise<void> {
await sh(["git", "checkout", "--", file]);
}
// Cheap, conservative check that the rationale actually describes the
// diff. Tokenizes the new_string (what's actually being added), drops
// Rust keywords + common filler, and requires the rationale to share
// at least one meaningful token. Catches rationale-diff divergence like
// "Add destructive SQL filter" for a diff that only adds `use tracing;`.
const STOPWORDS = new Set([
"use", "let", "pub", "mut", "fn", "self", "the", "a", "and", "or", "in",
"to", "for", "of", "on", "at", "add", "added", "adds", "new", "is",
"as", "if", "else", "match", "return", "crate", "mod", "struct",
"trait", "impl", "this", "that", "with", "from", "into", "by", "be",
"it", "its", "not", "one", "two", "line", "lines",
]);
function tokenize(s: string): Set<string> {
const out = new Set<string>();
for (const raw of s.toLowerCase().split(/[^a-z0-9_]+/)) {
if (raw.length >= 4 && !STOPWORDS.has(raw)) out.add(raw);
}
return out;
}
function rationaleMatchesDiff(p: Patch): boolean {
// Only check tokens introduced by the patch (what's in new but not old).
const newToks = tokenize(p.new_string);
const oldToks = tokenize(p.old_string);
const added = new Set([...newToks].filter((t) => !oldToks.has(t)));
if (added.size === 0) return true; // pure deletion — rationale unconstrained
const rationaleToks = tokenize(p.rationale);
for (const t of added) if (rationaleToks.has(t)) return true;
return false;
}
async function main() {
log(`starting · min_conf=${MIN_CONF} max_files=${MAX_FILES} model=${MODEL} commit=${COMMIT}`);
if (COMMIT) {
const headR = await sh(["git", "rev-parse", "--abbrev-ref", "HEAD"]);
const currentBranch = headR.stdout.trim();
if (currentBranch === "main") {
log(`refusing to run on main — create a branch first or set LH_APPLIER_BRANCH`);
const coR = await sh(["git", "checkout", "-b", BRANCH]);
if (coR.code !== 0) { log(`could not create branch ${BRANCH}: ${coR.stderr.slice(0, 200)}`); process.exit(1); }
log(`working branch: ${BRANCH}`);
} else {
log(`working branch: ${currentBranch}`);
}
}
const reviews = await loadLatestReviews();
log(`loaded ${reviews.size} latest reviews`);
const eligible = [...reviews.values()].filter(r =>
passesConfidenceGate(r) && passesDenyList(r.file) &&
(TARGET_FILES.length === 0 || TARGET_FILES.includes(r.file))
).sort((a, b) => (b.confidence_avg ?? 0) - (a.confidence_avg ?? 0));
if (TARGET_FILES.length > 0) {
log(`LH_APPLIER_FILES set — constrained to ${TARGET_FILES.length} target file(s): ${TARGET_FILES.join(", ")}`);
}
log(`${eligible.length} pass confidence gate + deny-list${TARGET_FILES.length > 0 ? " + target filter" : ""}`);
log(`taking top ${Math.min(MAX_FILES, eligible.length)} by confidence`);
// Establish pre-run warning baseline so post-patch cargo check can
// reject patches that keep the build green but add new warnings.
// This gate exists because 96b46cd landed unused imports through the
// green-only gate — compiled fine, left a permanent dead-code warning.
log(`baseline cargo check (warning count)...`);
let baselineWarnings = (await cargoCheck()).warnings;
log(`baseline warnings = ${baselineWarnings}`);
let committedFiles = 0;
let revertedFiles = 0;
let warningReverts = 0;
let rationaleReverts = 0;
for (const r of eligible.slice(0, MAX_FILES)) {
log(`${r.file} (conf_avg=${r.confidence_avg} tier=${r.gradient_tier})`);
const full = `${REPO}/${r.file}`;
if (!existsSync(full)) { log(` skip — file not found on disk`); continue; }
const source = await readFile(full, "utf8");
const patches = await requestPatches(r.file, source, r.suggestions_preview ?? "");
if (patches.length === 0) {
log(` no patches produced`);
await auditLog({ action: "no_patches", file: r.file, reviewer_model: r.accepted_model });
continue;
}
log(` ${patches.length} candidate patches`);
const { applied, rejected } = await applyPatches(r.file, patches);
log(` applied ${applied}, rejected ${rejected.length}`);
for (const rj of rejected) log(` ✗ ${rj.reason}`);
if (applied === 0) {
await auditLog({ action: "all_rejected", file: r.file, rejected: rejected.map(x => x.reason) });
continue;
}
log(` running cargo check...`);
const { green, warnings } = await cargoCheck();
if (!green) {
log(` ✗ build red — reverting ${r.file}`);
await revertFile(r.file);
revertedFiles++;
await auditLog({ action: "build_red_reverted", file: r.file, patches_applied: applied });
continue;
}
// New-warning gate. If a patch keeps the build green but adds a
// warning (unused import, dead_code after removed allow, etc), treat
// it the same as build red: revert. The cargo-green gate alone let
// 96b46cd land unused imports; this closes that door.
if (warnings > baselineWarnings) {
log(` ✗ warnings ${baselineWarnings} → ${warnings} (+${warnings - baselineWarnings}) — reverting ${r.file}`);
await revertFile(r.file);
warningReverts++;
await auditLog({
action: "warnings_increased_reverted",
file: r.file,
patches_applied: applied,
warnings_before: baselineWarnings,
warnings_after: warnings,
});
continue;
}
// Rationale-diff alignment heuristic. At least one non-stopword
// token from the applied patches' combined new_string must appear
// in the rationale, OR the rationale must name the file's module.
// This catches cases like "Add destructive SQL filter" rationale
// with a diff that only adds `use tracing`.
const applied_patches = patches.slice(0, applied);
const rationale_ok = applied_patches.some((p) => rationaleMatchesDiff(p));
if (!rationale_ok) {
log(` ✗ rationale doesn't name anything in diff — reverting ${r.file}`);
await revertFile(r.file);
rationaleReverts++;
await auditLog({
action: "rationale_mismatch_reverted",
file: r.file,
patches_applied: applied,
rationales: applied_patches.map((p) => p.rationale),
});
continue;
}
log(` ✓ build green (warnings ${warnings}/${baselineWarnings})`);
// Dry-run MUST revert the file after a successful check so the
// workspace doesn't accumulate unpushed changes across dry-runs.
// Previously this left modified files, silently polluting state.
if (!COMMIT) {
log(` (dry-run) would commit ${r.file} — reverting workspace change`);
await revertFile(r.file);
await auditLog({
action: "dry_run_would_commit",
file: r.file,
patches_applied: applied,
patches_rejected: rejected.length,
confidence_avg: r.confidence_avg,
gradient_tier: r.gradient_tier,
reviewer_model: r.accepted_model,
});
continue;
}
const ok = await gitCommit(r.file, applied_patches);
if (ok) {
committedFiles++;
// Advance the warning baseline so a later patch on a different
// file is compared against the new (committed) state, not the
// pre-run state — otherwise every subsequent patch trips the gate.
baselineWarnings = warnings;
await auditLog({
action: "committed",
file: r.file,
patches_applied: applied,
patches_rejected: rejected.length,
confidence_avg: r.confidence_avg,
gradient_tier: r.gradient_tier,
reviewer_model: r.accepted_model,
warnings_after: warnings,
});
}
}
log(`DONE · committed=${committedFiles} build_red=${revertedFiles} warning_revert=${warningReverts} rationale_revert=${rationaleReverts}`);
}
await main();
File diff suppressed because it is too large Load Diff
+71
View File
@@ -0,0 +1,71 @@
# Truth rules — file-backed policy
Phase 42 PRD: *"truth/ dir at repo root — rule files, versioned in git."*
This directory is the canonical home for TruthStore rules loaded from
disk. Each `*.toml` file holds a set of `TruthRule` records for one
task class. The truth crate's `load_from_dir(path)` walks this
directory, parses every `.toml` file, and registers the rules it finds.
## Structure
```
truth/
├── README.md ← this file
├── staffing.fill.toml ← rules for task_class="staffing.fill"
└── staffing.any.toml ← rules for task_class="staffing.any"
```
File naming is informational — `load_from_dir` respects whatever
`task_class` the rule declares internally, NOT the filename. Using
task-class-matching filenames is a convention for humans reading the
git tree.
## Rule shape
```toml
[[rule]]
id = "worker-active"
task_class = "staffing.fill"
description = "Worker must be active"
condition = { type = "FieldEquals", field = "worker.status", value = "active" }
action = { type = "Pass" }
```
`condition.type` is one of:
- `Always` — always true
- `FieldEquals { field, value }`
- `FieldMismatch { field, value }`
- `FieldEmpty { field }`
- `FieldGreater { field, threshold }`
- `FieldContainsAny { field, needles }`
`action.type` is one of:
- `Pass` — rule informational; no enforcement
- `Reject { message }` — short-circuit with error
- `Redact { fields }` — mutate the context, strip fields
- `Block { message }` — hard stop, alert
## Composition
The crate's `default_truth_store()` continues to register rules
**in code** for backward-compat. Operators can layer file-backed
rules ON TOP via `load_from_dir`:
```rust
let store = truth::default_truth_store();
let store = truth::load_from_dir(&store, "/home/profit/lakehouse/truth")?;
```
File-loaded rules are additive — they do NOT replace in-code rules.
This lets the staffing team tune rules at the file level (edit a
threshold, add a new `FieldContainsAny` blocklist) without waiting
for a code deploy.
## Explicit non-goals
- **No hot reload** — per Phase 42 PRD ("Truth reload is explicit
in this phase"). Operators bounce the gateway or POST `/v1/context`
refresh endpoint (future) to pick up changes.
- **No inheritance** — each file stands alone; rule IDs must be unique
across all files. Duplicate-ID detection is a load-time error.
+20
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@@ -0,0 +1,20 @@
# Phase 42 — staffing.any task class rules (file-backed).
#
# Rules that apply across ALL staffing task classes (fill, rescue,
# sms_draft, etc). The router registers them once and evaluates them
# on every staffing.* call.
[[rule]]
id = "any.no-destructive-sql-in-context"
task_class = "staffing.any"
description = "Reject staffing calls whose SQL context contains destructive verbs"
action = { type = "Reject", message = "destructive SQL rejected by staffing.any gate" }
[rule.condition]
type = "FieldContainsAny"
field = "sql_context"
needles = ["drop table", "truncate", "delete from", "drop schema", "drop database"]
# Additional staffing.any rules (e.g. PII scrubbing, rate limits) can be
# layered here; see the in-code staffing_rules() for the pii-redact rule
# that ships by default.
+32
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@@ -0,0 +1,32 @@
# Phase 42 — staffing.fill task class rules (file-backed).
#
# These rules mirror what crates/truth/src/staffing.rs registers in code
# via staffing_rules(). Both sets load at gateway startup; rule IDs MUST
# be unique across the combined set, so operator-file overrides require
# changing the in-code registration (or vice versa).
#
# Edit a threshold / add a needle / change a description? File-level
# edits land without a code deploy. Schema changes (new RuleCondition
# variants) still need a code bump.
[[rule]]
id = "fill.endorsed-count-matches-target"
task_class = "staffing.fill"
description = "endorsed_names.length must equal target_count"
action = { type = "Reject", message = "endorsed count does not match target_count" }
[rule.condition]
type = "FieldEmpty"
field = "contract.target_count"
# When target_count is absent entirely, the rule fires and we reject.
# Callers must include target_count; this is the first gate.
[[rule]]
id = "fill.city-required"
task_class = "staffing.fill"
description = "contract.target_city must be present and non-empty"
action = { type = "Reject", message = "target_city is required" }
[rule.condition]
type = "FieldEmpty"
field = "contract.target_city"
+128
View File
@@ -103,6 +103,93 @@ const REFACTOR_PHRASES = [
"split this file", "too large",
];
// Signal-class classifier — per file, given 2+ consecutive iterations'
// reviews, tag the file's behavior:
// CONVERGING — resolved > novel, score ↑
// LOOPING — 3+ same findings repeat, novel = 0, score flat
// ORBITING — novel findings each iter, no resolved (healthy depth)
// PLATEAU — score flat + findings flat (diminishing returns)
// MIXED — partial/unclear
// This is the foundation for iter-6+ auto-routing: each class gets a
// different sub-pipeline (specialist model, reviewer rotation, etc).
const SIGNAL_PHRASES = [
"pseudocode", "placeholder", "stub", "unwired", "missing", "dead code", "orphaned",
"duplicate", "redundant", "refactor", "rewrite", "remove", "unused", "unnecessary",
];
async function signalClasses(): Promise<any> {
const runsDir = `${REPO}/tests/real-world/runs`;
// Load every review, group by file, sort by timestamp
const perFile: Record<string, Array<{run: string, phrases: Set<string>, score: number | null, conf_avg: number | null, findings: number, ts: number}>> = {};
try {
const dirs = await Array.fromAsync(new Bun.Glob("scrum_*").scan({ cwd: runsDir, onlyFiles: false }));
for (const d of dirs) {
const files = await Array.fromAsync(new Bun.Glob("review_*.json").scan({ cwd: `${runsDir}/${d}` }));
for (const f of files) {
try {
const p = `${runsDir}/${d}/${f}`;
const j = JSON.parse(await Bun.file(p).text());
const key = j.file?.replace("/home/profit/lakehouse/", "") ?? "?";
const sug = (j.suggestions ?? "").toLowerCase();
const phrases = new Set<string>();
for (const ph of SIGNAL_PHRASES) if (sug.includes(ph)) phrases.add(ph);
const scoreMatch = sug.match(/(\d(?:\.\d)?)\s*\/\s*10\b/);
const score = scoreMatch ? parseFloat(scoreMatch[1]) : null;
const mconf = [...sug.matchAll(/(?:confidence[*:\s]*\s*|\|\s*)(\d{1,3})\s*%/gi)].map(m=>parseInt(m[1],10));
const jconf = [...sug.matchAll(/"confidence"\s*:\s*(\d{1,3})(?!\d)/gi)].map(m=>parseInt(m[1],10));
const all = [...mconf, ...jconf].filter(x => 0 <= x && x <= 100);
const conf_avg = all.length ? Math.round(all.reduce((a,b)=>a+b,0)/all.length) : null;
const ts = (await Bun.file(p).stat()).mtime.getTime();
(perFile[key] ??= []).push({ run: d, phrases, score, conf_avg, findings: all.length, ts });
} catch {}
}
}
} catch (e) {
return { error: String(e), classes: {} };
}
const classes: Record<string, any> = {};
for (const [file, runs] of Object.entries(perFile)) {
runs.sort((a, b) => a.ts - b.ts);
if (runs.length < 2) { classes[file] = { cls: "NEW", runs: runs.length }; continue; }
const last = runs[runs.length - 1];
const prev = runs[runs.length - 2];
const novel = [...last.phrases].filter(p => !prev.phrases.has(p));
const resolved = [...prev.phrases].filter(p => !last.phrases.has(p));
const looping = [...prev.phrases].filter(p => last.phrases.has(p));
const dScore = (last.score != null && prev.score != null) ? last.score - prev.score : null;
const dConf = (last.conf_avg != null && prev.conf_avg != null) ? last.conf_avg - prev.conf_avg : null;
const dFindings = last.findings - prev.findings;
let cls: string;
if (dScore != null && dScore > 0 && resolved.length > novel.length) cls = "CONVERGING";
else if (looping.length >= 3 && novel.length === 0 && (dScore == null || Math.abs(dScore) < 0.5)) cls = "LOOPING";
else if (novel.length >= 2 && resolved.length === 0) cls = "ORBITING";
else if (Math.abs(dFindings) <= 1 && (dScore == null || Math.abs(dScore) < 0.5)) cls = "PLATEAU";
else cls = "MIXED";
classes[file] = {
cls,
runs: runs.length,
iter_span: `${runs[0].run}…${last.run}`,
prev_score: prev.score,
last_score: last.score,
delta_score: dScore,
delta_conf: dConf,
delta_findings: dFindings,
novel,
resolved,
looping,
};
}
// Summary counts
const counts: Record<string, number> = {};
for (const v of Object.values(classes)) counts[v.cls] = (counts[v.cls] ?? 0) + 1;
return { generated_at: new Date().toISOString(), counts, classes };
}
async function refactorSignals(): Promise<any> {
// Walk every accepted review across all scrum runs. For each file,
// count how many times its suggestions mention a refactor phrase.
@@ -262,6 +349,44 @@ Bun.serve({
if (path === "/data/outcomes") return Response.json(await tailJsonl(`${KB}/outcomes.jsonl`, 30));
if (path === "/data/audit_facts") return Response.json(await tailJsonl(`${KB}/audit_facts.jsonl`, 30));
// Pathway memory — consensus-designed sidecar (2026-04-24). Two
// exposed metrics: reuse_rate (activity — is it firing?) and
// avg_rungs_saved_per_commit (value — is it earning its keep?).
// Round-3 consensus (qwen3.5:397b) pointed out that activity
// without value tells us nothing; the UI needs both to judge the
// health of the hot-swap learning loop.
if (path === "/data/pathway_stats") {
try {
const r = await fetch("http://localhost:3100/vectors/pathway/stats", { signal: AbortSignal.timeout(3000) });
if (!r.ok) return Response.json({ error: `vectord ${r.status}`, stats: null });
const stats = await r.json();
// Tail recent scrum events to compute avg_rungs_saved_per_commit
// (a committed review = any row in scrum_reviews.jsonl; rungs_saved
// only populates when pathway memory fired AND the recommended
// model actually produced the accept).
const reviews = await tailJsonl(`${KB}/scrum_reviews.jsonl`, 200);
let totalCommits = 0;
let totalRungsSaved = 0;
let hotSwapHits = 0;
for (const r of reviews) {
totalCommits++;
if (r.pathway_hot_swap_hit) hotSwapHits++;
if (typeof r.rungs_saved === "number") totalRungsSaved += r.rungs_saved;
}
return Response.json({
stats,
scrum_window: {
reviews: totalCommits,
hot_swap_hits: hotSwapHits,
pathway_reuse_rate: totalCommits ? hotSwapHits / totalCommits : 0,
avg_rungs_saved_per_commit: totalCommits ? totalRungsSaved / totalCommits : 0,
},
});
} catch (e) {
return Response.json({ error: (e as Error).message, stats: null });
}
}
if (path.startsWith("/data/file/")) {
const relpath = decodeURIComponent(path.slice("/data/file/".length));
return Response.json(await fileHistory(relpath));
@@ -269,6 +394,9 @@ Bun.serve({
if (path === "/data/refactor_signals") {
return Response.json(await refactorSignals());
}
if (path === "/data/signal_classes") {
return Response.json(await signalClasses());
}
if (path === "/data/search") {
const q = url.searchParams.get("q") ?? "";
return Response.json(await reverseIndex(q, 30));
+33
View File
@@ -405,3 +405,36 @@ main {
.traj-hit-meta { font-family: var(--mono); font-size: 10px; color: var(--fg-muted); }
.traj-hit-snip { font-family: var(--mono); font-size: 11px; color: var(--fg-dim); line-height: 1.5; }
/* signal classes */
.signal-class-row { display: flex; gap: 8px; margin-bottom: 12px; flex-wrap: wrap; }
.signal-chip {
font-family: var(--mono); font-size: 10px; letter-spacing: 0.08em;
padding: 4px 10px; border: 1px solid var(--border); font-weight: 700;
}
.signal-converging { color: var(--green); border-color: var(--green); }
.signal-looping { color: var(--red); border-color: var(--red); }
.signal-orbiting { color: var(--purple); border-color: var(--purple); }
.signal-plateau { color: var(--yellow); border-color: var(--yellow); }
.signal-mixed { color: var(--blue); border-color: var(--blue); }
.signal-new { color: var(--fg-muted); border-color: var(--fg-muted); }
.signal-grid {
display: grid; grid-template-columns: repeat(auto-fill, minmax(480px, 1fr)); gap: 8px;
}
.signal-card {
border: 1px solid var(--border); background: var(--bg-1);
padding: 10px 12px; cursor: pointer; border-left: 3px solid var(--fg-muted);
}
.signal-card.signal-converging { border-left-color: var(--green); }
.signal-card.signal-looping { border-left-color: var(--red); }
.signal-card.signal-orbiting { border-left-color: var(--purple); }
.signal-card.signal-plateau { border-left-color: var(--yellow); }
.signal-card.signal-mixed { border-left-color: var(--blue); }
.signal-card:hover { border-color: var(--border-hi); background: var(--bg-2); }
.signal-card-top { display: flex; gap: 10px; align-items: center; margin-bottom: 6px; }
.signal-card-file { font-family: var(--mono); font-size: 11px; color: var(--fg); }
.signal-card-body { font-family: var(--mono); font-size: 10px; color: var(--fg-dim); line-height: 1.55; }
.signal-card-body > div { margin-top: 2px; }
.signal-novel { color: var(--purple); }
.signal-resolved { color: var(--green); }
.signal-loop { color: var(--red); }
+79
View File
@@ -444,6 +444,54 @@ async function drawTrajectory() {
const statsEl = document.getElementById("traj-stats");
clear(statsEl);
// SECTION 0 — signal classes (CONVERGING/LOOPING/ORBITING/PLATEAU/MIXED)
try {
const sc = await fetch("/data/signal_classes").then(r => r.json());
body.append(el("div", { className: "traj-section-head", text: "SIGNAL CLASSES · iter-to-iter behavior per file" }));
body.append(el("div", { className: "traj-section-explain", text:
"Each file compared iter-to-iter: CONVERGING = fix landed (resolved > novel + score↑), " +
"LOOPING = same findings repeating (deadlock candidate for hyper-focus), " +
"ORBITING = novel findings every iter (healthy depth-first), " +
"PLATEAU = score+findings flat (diminishing returns, needs different angle), " +
"MIXED = partial movement, NEW = only 1 iter so far."
}));
const classRow = el("div", { className: "signal-class-row" });
for (const [cls, n] of Object.entries(sc.counts ?? {})) {
const chip = el("span", { className: `signal-chip signal-${cls.toLowerCase()}`, text: `${cls} ${n}` });
classRow.append(chip);
}
body.append(classRow);
const grid = el("div", { className: "signal-grid" });
const sorted = Object.entries(sc.classes ?? {}).sort((a, b) => {
const order = { CONVERGING: 0, LOOPING: 1, ORBITING: 2, MIXED: 3, PLATEAU: 4, NEW: 5 };
return (order[a[1].cls] ?? 9) - (order[b[1].cls] ?? 9);
});
for (const [file, info] of sorted) {
const card = el("div", { className: `signal-card signal-${info.cls.toLowerCase()}` });
card.append(el("div", { className: "signal-card-top" },
el("span", { className: `signal-chip signal-${info.cls.toLowerCase()}`, text: info.cls }),
el("span", { className: "signal-card-file", text: file })
));
const body2 = el("div", { className: "signal-card-body" });
if (info.prev_score != null || info.last_score != null) {
body2.append(el("div", { text: `score ${info.prev_score ?? "?"} → ${info.last_score ?? "?"} (Δ ${info.delta_score != null ? (info.delta_score > 0 ? "+" : "") + info.delta_score.toFixed(1) : "?"})` }));
}
if (info.novel?.length) body2.append(el("div", { className: "signal-novel", text: `NEW: ${info.novel.join(", ")}` }));
if (info.resolved?.length) body2.append(el("div", { className: "signal-resolved", text: `RESOLVED: ${info.resolved.join(", ")}` }));
if (info.looping?.length) body2.append(el("div", { className: "signal-loop", text: `LOOPING: ${info.looping.join(", ")}` }));
card.append(body2);
card.addEventListener("click", () => {
state.selected = { type: "file", id: `/home/profit/lakehouse/${file}` };
renderContext();
document.querySelector('#views button[data-view="trace"]').click();
});
grid.append(card);
}
body.append(grid);
} catch (e) {
body.append(el("div", { className: "ctx-hint", text: `signal classes error: ${e}` }));
}
// SECTION 1 — refactor signals
const sig = await fetch("/data/refactor_signals").then(r => r.json());
const sigs = sig.signals ?? [];
@@ -541,6 +589,37 @@ function metricBox(label, big, kind, opts = {}) {
function drawMetrics() {
const grid = document.getElementById("metric-grid");
clear(grid);
// Kick off pathway fetch in parallel; render when it resolves so the
// rest of the metrics grid appears immediately. The cards append to
// the grid after the synchronous block below — they'll show up at
// the bottom of the grid within a tick of first render.
fetch("/data/pathway_stats").then(r => r.ok ? r.json() : null).then(j => {
if (!j || !j.stats) return;
const s = j.stats;
const w = j.scrum_window ?? {};
// Activity metric — is the hot-swap firing at all?
grid.append(metricBox("pathway reuse rate", `${Math.round((w.pathway_reuse_rate ?? 0) * 100)}%`,
(w.pathway_reuse_rate ?? 0) > 0.1 ? "good" : (w.pathway_reuse_rate ?? 0) > 0 ? "warn" : "bad", {
explain: "% of recent reviews where a pathway hot-swap fired (narrow fingerprint match + 0.80 success rate + ≥3 replays + audit_consensus pass + 0.90 similarity).",
source: `scrum_reviews.jsonl .pathway_hot_swap_hit over last ${w.reviews ?? 0} reviews (${w.hot_swap_hits ?? 0} hits)`,
good: "≥10% sustained = index earning its keep. <10% over many iters = fingerprint too narrow or probation too strict. 0% on fresh install is expected (no replays yet).",
}));
// Value metric — how much compute did hot-swap actually save?
const saved = w.avg_rungs_saved_per_commit ?? 0;
grid.append(metricBox("avg rungs saved", saved.toFixed(2),
saved >= 1 ? "good" : saved > 0 ? "warn" : "bad", {
explain: "Average ladder rungs skipped per committed review by hot-swap. Rungs_saved = recommended_rung - 1 when the recommended model succeeded (otherwise 0).",
source: "scrum_reviews.jsonl .rungs_saved averaged",
good: "Every 1.0 here ≈ one less model call per review. At 21 files/iter, 1.0 saved = 21 cloud calls avoided. Value only counts when the replay actually succeeded.",
}));
// Stability metric — retired pathways indicate the learning loop is correcting itself.
grid.append(metricBox("pathways tracked", String(s.total_pathways),
s.total_pathways > 0 ? "good" : "warn", {
explain: `Total pathway traces stored. ${s.retired} retired (below 0.80 success after ≥3 replays). ${s.with_audit_pass} audit-passed, eligible for hot-swap probation.`,
source: "/vectors/pathway/stats",
good: `Grows monotonically with scrum runs. Retired=${s.retired} is HEALTHY — it means the learning loop is pruning pathways that stopped working. replay_success_rate=${(s.replay_success_rate*100).toFixed(0)}% aggregates all historical replays.`,
}));
}).catch(() => {});
const byTier = { auto:0, dry_run:0, simulation:0, block:0, unknown:0 };
state.reviews.forEach(r => { const t = r.gradient_tier ?? "unknown"; if (byTier[t] != null) byTier[t]++; });
const total = state.reviews.length || 1;