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Author SHA1 Message Date
profitandClaude Opus 4.7 7fe47babd9 Phase 45 slice 4: batch scan + T3 drift-correction synthesis
lakehouse/auditor cloud-flagged gap not in any claim: append_correction test writes a temp file directly instead of invoking the append_correction function, l
Closes the PRD-listed remaining deliverables for Phase 45:
- POST /vectors/playbook_memory/doc_drift/scan
- T3 synthesis writing data/_kb/doc_drift_corrections.jsonl
- Backfill: unit tests for mcp-server/context7_bridge.ts (slice 2
  never had any)

crates/vectord/src/drift_synth.rs (NEW, 240 LOC)
  - DriftCorrection shape matching the PRD spec exactly
  - synthesize(): HTTPS POST to ollama.com/api/generate with
    gpt-oss:120b. Prompt explicitly instructs the model to admit
    "preview insufficient" rather than fabricate a diff.
  - append_correction(): JSONL append to data/_kb/ with mkdir -p
    on the parent; atomic at line level on Linux for typical sizes.
  - spawn_synthesize_and_append(): fire-and-forget wrapper. Never
    blocks the handler. No cloud key → skipped silently with a
    tracing::warn. Cloud failure → logged + dropped.
  - resolve_cloud_key(): same sources v1/ollama_cloud.rs uses
    (env OLLAMA_CLOUD_KEY → /root/llm_team_config.json → env
    OLLAMA_CLOUD_API_KEY).
  - 5 unit tests: JSON extraction (first object, code fences,
    unclosed), prompt composition, jsonl append shape.

crates/vectord/src/service.rs
  - /playbook_memory/doc_drift/scan — iterates active entries with
    doc_refs, optional (city, state, max_entries) filter. Per-entry:
    bridge check → flag if drifted → spawn synthesis per drifted
    tool. Honest response: scanned, eligible, drifted, newly_flagged,
    unknown, synthesis_spawned, details[].
  - /playbook_memory/doc_drift/check/{id}: slice 3 handler now also
    spawns synthesis per drifted tool. Response adds
    synthesis_spawned: bool.

mcp-server/context7_bridge.ts
  - Export normalizeTool + hashContent for testing.
  - Guard Bun.serve() behind `if (import.meta.main)` so imports
    don't double-bind :3900 (collides with systemd service).

mcp-server/context7_bridge.test.ts (NEW, 6 tests)
  - normalizeTool: lowercases + trims, preserves internal chars
  - hashContent: deterministic, sensitive to 1-char change,
    16 hex chars, differs for empty vs whitespace

Live verification (after gateway restart):

  seed playbook pb-seed-88abc7d1 with doc_refs[docker v23.0.0,
  stale hash]
  POST /doc_drift/scan {city:"Toledo", state:"OH", max_entries:5}
    → scanned=1 drifted=1 newly_flagged=1
       synthesis_spawned=1 unknown=0
  wait 30s
  cat data/_kb/doc_drift_corrections.jsonl
    → 1 record (603 bytes) with diff_summary + recommended_action
      from gpt-oss:120b. Model correctly noted "preview unavailable"
      rather than fabricating.

Tests: 6 bridge tests + 6 drift_synth tests + 51 pre-existing
vectord lib tests. All green. Release build clean.

NOT in this PR (deliberately — cohesion review pending):
  - Auditor's kb_query check consulting hybrid_search + context7
  - Auditor's inference check consuming KB neighbors + drift
    corrections as context
  - Observer → KB → auditor feedback loop beyond append
  - Integration test exercising the full smarter-DB loop
  - Python script (sidecar/*, scripts/*) inventory

Those are the cohesion work J flagged — handled on a separate
branch after this merges.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-22 17:15:32 -05:00
1083 changed files with 2349 additions and 169346 deletions
@@ -1,42 +0,0 @@
# Real Archon workflow on the Lakehouse repo, fully via our gateway.
# Three Pi nodes, each fires LLM → /v1/chat/completions → OpenRouter,
# every call lands a Langfuse trace + observer event.
#
# Read-only (allowed_tools: [read]). Don't pass --branch / leave
# --no-worktree at runtime so Archon doesn't try to create a worktree.
name: lakehouse-architect-review
description: 'Pi reviews Lakehouse architecture in 3 turns through our gateway.'
provider: pi
model: openrouter/x-ai/grok-4.1-fast
nodes:
- id: shape
prompt: |
Read these files and answer in 3 short bullets describing the
architectural shape of Lakehouse:
- /home/profit/lakehouse/Cargo.toml
- /home/profit/lakehouse/lakehouse.toml
- /home/profit/lakehouse/docs/MODE_RUNNER_TUNING_PLAN.md
Be terse. No preamble.
allowed_tools: ["read"]
effort: low
idle_timeout: 90000
- id: weakness
prompt: |
Read /home/profit/lakehouse/crates/gateway/src/v1/mod.rs and
identify ONE real weakness or risk. Cite file:line. One paragraph.
allowed_tools: ["read"]
effort: low
idle_timeout: 90000
depends_on: [shape]
- id: improvement
prompt: |
Based on the prior weakness ($weakness.output), propose ONE
surgical improvement (≤6 lines of Rust). Show the patch as
`old_string` and `new_string` in markdown code blocks.
allowed_tools: []
effort: low
idle_timeout: 90000
depends_on: [weakness]
-71
View File
@@ -4,74 +4,3 @@
.env
__pycache__/
*.pyc
# Headshot pool — binary face JPGs are fetched by scripts/staffing/fetch_face_pool.py
# (synthetic StyleGAN, ~580MB for 1000 faces). Manifest + fetch script are tracked.
data/headshots/face_*.jpg
data/headshots/_thumbs/
# ComfyUI on-demand generated portraits (per-worker unique). Cached on first
# request; fully regeneratable via /headshots/generate/:key.
data/headshots_gen/
# Runtime data — all regeneratable from inputs or accumulated by daemons.
# Anything under data/_<name>/ is internal state (auditor outputs, KB caches,
# pathway memory snapshots, HNSW trial results, etc.). Anything under
# data/datasets/ or data/vectors/ is generated by ingest/index pipelines.
data/_*/
data/lance/
data/datasets/
data/vectors/
data/demo/
data/evidence/
data/face_test/
data/headshots_role_pool/
data/icons_pool/
data/scored-runs/
data/workspaces/
data/catalog/
data/**/*.bak-*
data/**/*.pre-*-bak
# Logs
logs/
# Build artifacts
node_modules/
exports/
mcp-server/data/
# Per-run distillation reports (timestamp-named); keep the parent dir tracked
# via .gitkeep if needed but don't carry every batch's report set.
reports/distillation/[0-9]*/
reports/distillation/*-*-*-*-*/
# Test scratch — scratchpads, traces, sessions are regenerated each run.
# PRD/scenario fixtures stay tracked (they ARE the test).
tests/agent_test/_*
tests/agent_test/sessions/
tests/real-world/runs/
# BIPA-quarantined photo uploads — Phase 1.6 Gate 3a writes to
# data/biometric/uploads/<safe_id>/<ts>_<uuid>.<ext> with mode 0700/0600.
# This is regulated subject-of-record data and must NEVER enter git.
data/biometric/
# Local-only scrum review evidence. Per `feedback_audit_findings_log.md`
# scrum runs fold fixes into a batch commit; the verdict / disposition
# files stay local for forensics.
reports/scrum/
# Per-event biometric verification reports (timestamp-named, regenerated
# per `verify_biometric_erasure.sh` invocation). Source-of-truth is the
# audit chain itself; these reports are derived views.
reports/biometric/
# Counsel transmission tarballs + manifests are regenerated by
# `bundle_counsel_packet.sh` from the tracked `docs/counsel/` source.
# The bundle is transmittable, not source-of-truth.
reports/counsel/
# Local experiments scratchpad — per the "Test code in main is ACTIVELY
# being cleaned out" policy (commits 6aafd41 + f4ebd22), one-off
# experiments stay out of the tracked tree.
experiments/
-8
View File
@@ -7,14 +7,6 @@
"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
-35
View File
@@ -46,9 +46,7 @@ dependencies = [
name = "aibridge"
version = "0.1.0"
dependencies = [
"async-trait",
"axum",
"lru",
"reqwest",
"serde",
"serde_json",
@@ -1365,13 +1363,10 @@ dependencies = [
"axum",
"bytes",
"chrono",
"hmac",
"object_store",
"parquet 55.2.0",
"proto",
"serde",
"serde_json",
"sha2",
"shared",
"storaged",
"tokio",
@@ -4090,14 +4085,11 @@ dependencies = [
"shared",
"storaged",
"tokio",
"toml",
"tonic",
"tower-http",
"tracing",
"tracing-opentelemetry",
"tracing-subscriber",
"truth",
"validator",
"vectord",
]
@@ -4686,7 +4678,6 @@ dependencies = [
"chrono",
"croner",
"csv",
"journald",
"lopdf",
"mysql_async",
"object_store",
@@ -6904,7 +6895,6 @@ dependencies = [
"storaged",
"tokio",
"tracing",
"truth",
"url",
]
@@ -8736,17 +8726,6 @@ dependencies = [
"wasm-bindgen",
]
[[package]]
name = "truth"
version = "0.1.0"
dependencies = [
"serde",
"serde_json",
"tokio",
"toml",
"tracing",
]
[[package]]
name = "try-lock"
version = "0.2.5"
@@ -8913,19 +8892,6 @@ dependencies = [
"wasm-bindgen",
]
[[package]]
name = "validator"
version = "0.1.0"
dependencies = [
"arrow 55.2.0",
"parquet 55.2.0",
"serde",
"serde_json",
"thiserror 2.0.18",
"tokio",
"tracing",
]
[[package]]
name = "valuable"
version = "0.1.1"
@@ -8953,7 +8919,6 @@ dependencies = [
"object_store",
"parquet 55.2.0",
"queryd",
"reqwest",
"serde",
"serde_json",
"sha2",
-3
View File
@@ -14,8 +14,6 @@ members = [
"crates/ui",
"crates/lance-bench",
"crates/vectord-lance",
"crates/truth",
"crates/validator",
]
[workspace.dependencies]
@@ -36,7 +34,6 @@ datafusion = "47"
bytes = "1"
futures = "0.3"
sha2 = "0.10"
hmac = "0.12"
url = "2"
tonic = "0.13"
prost = "0.13"
-492
View File
@@ -1,492 +0,0 @@
# STATE OF PLAY — Lakehouse
**Last verified:** 2026-06-30 (search index-alignment fix live on :3700) · biometric substrate 2026-05-05
**Verified by (2026-06-30):** live probe after mcp-server restart — `/match` + `/search` with `state='IL'` return only IL workers (new PID on :3700). Not memory.
**Verified by (2026-05-05):** live probe (`/audit/health` 200, `/biometric/subject/{id}/erase` 21-test substrate + `/audit/subject/{id}` legal-tier endpoint live verified against WORKER-100; new `verify_biometric_erasure.sh` + `biometric_destruction_report.sh` + `bundle_counsel_packet.sh` smoke-tested clean against live data) — not memory.
> **Read this FIRST.** When the user says "we're working on lakehouse," they mean the working code captured below — NOT what `git log` framed as "the cutover" or what memory snapshots from 2 days ago suggest. If memory contradicts this file, this file wins. Update it when something is verified working — not when a phase finishes.
---
## WHAT LANDED 2026-06-30 (search index-alignment sweep + P1-already-done finding)
**Fixed a systemic hybrid-search bug.** Every `/vectors/hybrid` call that paired the
`ethereal_workers` SQL dataset (10K rows) with the `workers_500k_v1` vector index (50K,
a *different* worker set) returned wrong-entity results: same `worker_id` = different
person in each index, so a `state='IL'` query surfaced a **KY** worker flagged
`sql_verified:true`. Root cause: the default index didn't share an id-space with the
default dataset.
Swept **8 call sites** in `mcp-server/index.ts` to `ethereal_workers_v1` (10K, same
id-space as the SQL table). Aligned sites (`filter_dataset: workers_500k`) and pure-RAG
sites (`/vectors/rag`) were correctly left alone.
| Commit | Sites |
|---|---|
| `423400e` | `/search` HTTP handler |
| `35a80a7` | `search_workers` tool · `match_contract` tool · `/match` HTTP handler |
| `1570306` | 4 intelligence routes (similar-workers, role-discovery, smart_search, scenario-find) |
**Verified live** after an mcp-server restart (new PID on :3700): `/match` and `/search`
with `state='IL'` return only IL workers (Champaign/Springfield/Urbana); `state='WI'`
returns WI. Grep confirms no `workers_500k_v1` index remains paired with `ethereal_workers`.
Server boots clean. Only `mcp-server/index.ts` was touched.
**Finding — demo-plan P1 was already done.** The "search box that actually filters" item
in this doc's CURRENT PLAN (P1, from the 2026-04-27 demo audit) is **stale**. The UI now
posts structured `state`/`role` to the evolved `/intelligence/chat`, which returns real
`sql_results` (IL Forklift → 167 matches, correct workers; WI → WI). The P1 section below
describes a bug that no longer exists — don't re-implement it.
**⚠ Uncommitted WIP left untouched (pre-existing, not from this session).**
`mcp-server/search.html` + `proof.html` (edited 2026-05-30; proof.html restructured into
chapters) and a `biometric_endpoint.rs` comment cleanup remain uncommitted in the working
tree. Also untracked and newer than this doc: `RECOVERY_PLAN_2026-05-05.md`,
`mcp-server/UX_FIX_PLAN.md`, `docs/scope-sentinel/`. Someone should reconcile these — they
imply planning context this file doesn't yet capture.
---
## WHAT LANDED 2026-05-05 (afternoon wave — full BIPA lifecycle endpoints + UIs + ops dashboard)
After the morning's doc-reconciliation wave (described below), the afternoon wave shipped the full **operational lifecycle** for biometric data. Phase 1.6 now has the complete end-to-end runtime: candidate consent flow → photo upload → withdrawal → retention sweep flag → erase. Five commits, all on `demo/post-pr11-polish-2026-04-28`.
| Commit | What | Verified |
|---|---|---|
| `76cb5ac` | `POST /biometric/subject/{id}/consent` — Gate 2 backend. Flips status NeverCollected→Given, computes retention_until = given_at + 18mo (per retention schedule v1 §4), captures consent_version_hash + collection_method (closed set: electronic_signature/paper/click_acceptance) + operator + evidence path to audit row. State machine: 409 already_given, 409 post-withdrawal-requires-erase, 403 subject_inactive. | 12 unit tests; live POST returns 401/400/404 on guards |
| `7f0f500` | Candidate intake UI at `/biometric/intake?candidate_id=XXX` (mcp-server :3700, exposed via nginx at devop.live/lakehouse/biometric/intake). 4-screen flow: operator auth → consent template render + click-accept → photo capture (file or webcam getUserMedia) → confirmation showing audit hmac. SHA-256 of rendered consent block becomes consent_version_hash. sessionStorage-backed token (clears on tab close), neo-brutalist style matching onboard.html. | 22631-byte HTML, mcp-server route returns 200 |
| `68d226c` | Three things in one wave: <br>(a) `POST /biometric/subject/{id}/withdraw` — BIPA right of withdrawal. Flips Given→Withdrawn, accelerates retention_until from 18mo→30d (per consent template v1 §2 SLA), audit kind=biometric_consent_withdrawal. State machine 409s on NeverCollected/Pending (nothing_to_withdraw), Withdrawn (already_withdrawn), Expired (already_expired). 12 unit tests. <br>(b) Withdraw UI at `/biometric/withdraw` — 3-screen operator flow (token+name auth → reason+evidence form → confirmation showing 30-day clock + verify curl recipe). <br>(c) `lakehouse-retention-sweep.{service,timer}` systemd units in `ops/systemd/`. Daily 03:00 UTC, Persistent=true, install.sh updated to handle paired timer+oneshot service. <br>Plus operator_of_record bug fix in intake UI (was hardcoded `'intake_ui_operator'`). | 46/46 biometric_endpoint + 71/71 catalogd lib tests; manual sweep run: 100 subjects, 0 overdue, exit 0 |
| **(current HEAD post-this-wave)** | Stats endpoint `GET /biometric/stats` (legal-tier auth, returns subject counts by status + photo count + oldest active retention + last 20 state-change events with anonymizable trace_ids) + ops dashboard at `/biometric/dashboard` (single-page, polls /stats every 15s, table + status tiles, XSS-safe DOM construction not innerHTML). Plus consent_versions allowlist: `BiometricEndpointState.allowed_consent_versions: Option<Arc<HashSet<String>>>`, loaded from `/etc/lakehouse/consent_versions.json` (`LH_CONSENT_VERSIONS_FILE` override), missing-file = permissive (v1 compat), present + populated = strict mode (refuses unknown hashes with 400 consent_version_unknown). Plus `scripts/staffing/subject_timeline.sh` — pretty-prints any subject's full BIPA lifecycle from /audit/subject/{id} (manifest + on-disk photo + chronological audit chain + verification status). | 5 new allowlist unit tests + 4 stats tests; live demo on WORKER-100 ran end-to-end (consent → photo → withdraw, chain verified=true, chain_root=a47563ff…) |
### Live demo evidence (WORKER-100, 2026-05-05 20:12 UTC)
The full lifecycle was exercised against the live gateway as a verification artifact. The audit chain on WORKER-100 now contains 3 rows:
```
20:12:33.054 BIOMETRIC_CONSENT_GRANT result=given hmac=9c6f4153341e97d2… trace=live-demo-2026-05-05
20:12:47.957 BIOMETRIC_COLLECTION result=success hmac=856be6173c88277c… trace=live-demo-2026-05-05
20:15:27.298 BIOMETRIC_CONSENT_WITHDRAWAL result=withdrawn hmac=a47563ff937d50de… trace=live-demo-2026-05-05
```
`chain_verified=true`, chain_root = a47563ff937d50de43b09a0c903cff954233836c219a928ee8ca2aa6792272dd. Photo file at `data/biometric/uploads/WORKER-100/1778011967957907731_027b6bb1.jpg` (180 bytes — a minimal real JFIF JPEG), retention_until=2026-06-04 (= 30 days from withdrawal). Retention sweep will flag this subject on or after that date; operator runs `/biometric/subject/WORKER-100/erase` to destroy.
To re-verify: `./scripts/staffing/subject_timeline.sh WORKER-100`.
### Endpoint matrix (v1 BIPA lifecycle complete)
| Event | Endpoint | Method | Auth | Status flip | retention_until |
|---|---|---|---|---|---|
| consent given | `/biometric/subject/{id}/consent` | POST | legal | NeverCollected/Pending → Given | now + 18mo |
| photo collected | `/biometric/subject/{id}/photo` | POST | legal + consent gate | (no change) | (no change) |
| consent withdrawn | `/biometric/subject/{id}/withdraw` | POST | legal | Given → Withdrawn | now + 30d |
| destruction | `/biometric/subject/{id}/erase` | POST | legal | (manifest cleared) | n/a |
| audit read | `/audit/subject/{id}` | GET | legal | (read-only) | (read-only) |
| ops aggregates | `/biometric/stats` | GET | legal | (read-only) | (read-only) |
UIs:
- `/biometric/intake?candidate_id=X` — operator-driven consent + photo
- `/biometric/withdraw` — operator-driven withdrawal recording
- `/biometric/dashboard` — read-only ops aggregate, auto-refresh
CLI tools:
- `scripts/staffing/verify_biometric_erasure.sh <id>` — post-erasure verification
- `scripts/staffing/biometric_destruction_report.sh --month YYYY-MM` — anonymized monthly report
- `scripts/staffing/subject_timeline.sh <id>` — full lifecycle pretty-print (NEW 2026-05-05)
- `scripts/staffing/bundle_counsel_packet.sh` — counsel review tarball
- `scripts/staffing/attest_pre_identityd_biometric_state.sh` — defense attestation generator
### What's blocking production cutover NOW
**Counsel calendar.** Engineering substrate is done end-to-end: every state transition has a defensible endpoint, every endpoint has tests + live verification, every UI is reachable, retention sweep is scheduled, allowlist hardening is wired. The remaining work is signature/review:
1. Counsel review of consent template v1 (revised for Option C — classifications deferred)
2. Counsel review of retention schedule v1 (revised for Option C)
3. Counsel review of destruction runbook
4. Counsel + J signatures on §2 attestation
5. Once counsel signs the consent template, populate `/etc/lakehouse/consent_versions.json` with the signed hash to flip the gateway from permissive to strict mode
Counsel-review packet at `reports/counsel/counsel_packet_2026-05-05.tar.gz` (regenerable via `bundle_counsel_packet.sh` to pick up the latest doc state).
---
## WHAT LANDED 2026-05-05 (morning wave — doc reconciliation + Gate 3b decision + counsel packet)
This was a **doc-only wave**, not code. Background: J asked for an audit of the BIPA/biometric documentation before production cutover. Audit found moderate fragmentation between docs and shipped code (post-`identityd` collapse, post-Gate-3a-ship, pre-Gate-3b-decision). Closed it in one pass.
| Item | What changed | Status |
|---|---|---|
| **Gate 3b — DECIDED: Option C (defer classifications)** | `BiometricCollection.classifications` stays `Option<JSON> = None` in v1. `docs/specs/GATE_3B_DEEPFACE_DESIGN.md` status flipped from "draft / awaits product" to "DECIDED 2026-05-05". | Locked |
| **Endpoint-path drift** | `PHASE_1_6_BIPA_GATES.md` (3 spots), `BIPA_DESTRUCTION_RUNBOOK.md` (2 spots), `biometric_retention_schedule_v1.md` (1 spot) updated from legacy `/v1/identity/subjects/*` (proposed under separate identityd daemon, never shipped) to actual `/biometric/subject/*` (catalogd-local, shipped `848a458`). Schema block in `PHASE_1_6_BIPA_GATES.md` rewritten to reflect JSON `SubjectManifest.biometric_collection` substrate (not the proposed Postgres `subjects` table). | Reconciled |
| **Consent template + retention schedule** | Both revised for Option C: removed all "automated facial-classification" / "deepface" language so disclosed scope matches implemented scope. Pending counsel review — they were already eng-staged with ⚖ markers. | Eng-staged for counsel |
| **`scripts/staffing/verify_biometric_erasure.sh`** (NEW) | Operator-side verification of an erasure event. Curls `/audit/subject/{id}` with legal-tier token, checks: manifest.biometric_collection null, uploads dir empty, last audit row is `biometric_erasure`/`full_erasure` with `erased`/`success`, chain_verified=true. Writes a hashed report to `reports/biometric/`. | Smoke-tested live |
| **`scripts/staffing/biometric_destruction_report.sh`** (NEW) | Monthly destruction-event aggregation. Anonymizes candidate IDs (sha256-12 prefix), counts by scope + trigger, flags anomalies. Smoke-test on May 2026 data found 1 historical `biometric_erasure`/`consent_withdrawal` event (test fixture). | Smoke-tested live |
| **`docs/runbooks/LEGAL_AUDIT_KEY_ROTATION.md`** (NEW) | Captures the rotation procedure operationalized after the 2026-05-05 `/tmp` wipe incident. Covers: when to rotate, pre-rotation snapshot, atomic-swap procedure, post-rotation verification (incl. expected pre-rotation chain tamper-detect under new key), recovery from lost key, ⚖ counsel notes. | Authored |
| **`docs/counsel/COUNSEL_REVIEW_PACKET_2026-05-05.md`** + `bundle_counsel_packet.sh` (NEW) | Cover note bundling all eng-staged BIPA docs for counsel review with per-doc questions, sign-off checklist, recommended review sequence. Bundler script tarballs the 8 referenced files + emits a SHA-256 manifest. Tarball ready for transmission: `reports/counsel/counsel_packet_2026-05-05.tar.gz`. | Bundled, ready to send |
### Eng follow-up that this wave surfaced
- **Double-upload file leak — DIAGNOSED + FIXED** (2026-05-05 same wave). `verify_biometric_erasure.sh` smoked WORKER-2 and surfaced a stranded photo file. Investigation showed:
- The file was 13 bytes of test fixture (`ff d8 ff d9 + ASCII "TESTBYTES"`), byte-identical to the unit-test fixture at `biometric_endpoint.rs:841`. NO PII, NO biometric content, NO synthetic-face content. Came from manual integration testing on 2026-05-03.
- Audit log timeline showed two consecutive uploads (09:54, 10:04) followed by one erasure (10:22). The erasure unlinked only the SECOND file (which the manifest pointed at by then); the first file was orphaned because the second upload had silently overwritten `manifest.data_path`.
- **Real bug found**: the upload handler did NOT refuse a second upload to a subject with `biometric_collection.is_some()`. Patched `process_upload` to return HTTP 409 + `error: "biometric_already_collected"` when a re-upload is attempted; operator must explicitly POST `/biometric/subject/{id}/erase` first.
- Stranded test file removed (`rm` of the 13-byte fixture).
- New unit test `second_upload_without_erase_returns_409` asserts the 409 + that the first photo's data_path remains unchanged + that the first file remains untouched on disk.
- Existing `repeated_uploads_grow_the_chain` replaced with `upload_erase_upload_grows_the_chain_cleanly` (covers the legitimate re-collection cycle: upload → erase → upload, chain grows to 3 rows).
- Existing `content_type_with_parameters_accepted` test updated to use two distinct subjects (it had used one subject for two uploads to test content-type parsing — now would 409).
- **22 biometric_endpoint tests + 59 catalogd lib tests all green** post-patch (was 21+58 pre-patch).
- Production posture: gateway binary needs rebuild (`cargo build --release`) + `systemctl restart lakehouse.service` to pick up the new 409 behavior in live traffic.
- **Pre-rotation chain tamper-detect (expected, not a bug).** WORKER-{1..5} had pre-2026-05-05 audit chains under the prior `LH_SUBJECT_AUDIT_KEY`. Under the new key (post-`/tmp` wipe rotation), those chains correctly tamper-detect. The rotation runbook §4.4 documents this as expected; a §2.2 pre-rotation snapshot is what would prove they were intact pre-rotation if defensibility ever needs it.
### What's blocking production cutover NOW (after this wave)
- **Counsel calendar:** the four sign-off items in `COUNSEL_REVIEW_PACKET_2026-05-05.md` (retention schedule, consent template, destruction runbook, pre-identityd attestation). The packet tarball is ready; ⚖ counsel is the bottleneck.
- **Nothing else.** Engineering is no longer the long pole.
### Phase 1.6 BIPA gates — status table (this is the final post-Option-C state)
| # | Gate | Status |
|---|---|---|
| 1 | Public retention schedule | **eng-staged**, revised for Option C, ready for counsel |
| 2 | Informed consent template | **eng-staged**, revised for Option C, ready for counsel |
| 3a | Photo upload endpoint | **DONE** (shipped `f1fa6e4`, 11 unit tests, live verified) |
| 3b | Deepface classification | **DECIDED 2026-05-05: Option C (defer)** |
| 4 | Name → ethnicity inference removal | **DONE** (shipped, 4/4 mcp-server tests pass) |
| 5 | Destruction runbook + erasure endpoint | **eng-DONE** (`848a458`, 21 tests). Runbook scripts (verify + report) shipped 2026-05-05. Counsel review pending. |
| §2 | Pre-identityd attestation | **eng-DONE** (3/3 evidence checks). Awaits J + counsel signature. |
| §3 | Employee training | **deferred** (consolidated into runbook §7 acknowledgment for current operator population) |
---
## WHAT LANDED 2026-05-03 (16 commits this wave — local-first audit substrate + Phase 1.6 BIPA gates)
The dominant work today: **`docs/specs/SUBJECT_MANIFESTS_ON_CATALOGD.md` Steps 1-8 SHIPPED end-to-end** + **5 of 7 Phase 1.6 BIPA pre-launch gates** + **6th cross-runtime parity probe**. Wave was structured as eight ship-then-scrum cycles — every wave caught real bugs, every fix wave landed within the same session.
| Commit | What | Verified |
|---|---|---|
| `d259909` | catalogd: Step 1 — `SubjectManifest` type + Registry CRUD | 17 catalogd subject tests PASS |
| `d16131b` | catalogd: Step 2 — `SubjectAuditWriter` HMAC-SHA256 chain + per-subject Mutex + canonical-JSON via BTreeMap | tamper-detection + concurrent-append race tests PASS |
| `bce6dfd` | catalogd: Step 3 — `bin/backfill_subjects` (BIPA-defensible defaults: vertical=unknown, consent=pending_backfill_review, retention=4yr) | 100 subjects loaded into live catalog |
| `fef1efd` | gateway: Step 4 — wire SubjectAuditWriter into `/v1/chat` tool dispatch + `audit_subject_hits_in` (inline, not spawn) | tool calls log accessor.kind="gateway_lookup" |
| `cd8c59a` | gateway: Step 5 — `AuditingWorkerLookup` decorator wraps validator's WorkerLookup; spawns audit on every find() | live `/v1/validate` produces audit rows |
| `e38f357` | subjects Steps 1-4 fixes from cross-lineage scrum (concurrency race, schema-evolution HMAC drift, hardcoded "success" classifier) | 41 tests green |
| `15cfd76` | catalogd + gateway: Step 6 — `/audit/subject/{id}` legal-tier endpoint with constant-time-eq token check + tampering detection | live curl returns chain_verified=true |
| `2a4b316` | subjects 2nd scrum fix wave (token min 16→32, chain_root from full chain via `chain_tip()`, rebuild collision warn, tightened result-state heuristic) | 17 catalogd + 6 gateway tests PASS |
| `8fc6238` | catalogd: Step 7 — `bin/retention_sweep` (BIPA-aware on biometric clock, idempotent across daily runs, no auto-mutation) | 8 sweep tests PASS, live verified at `--as-of 2031-06-01` flagging 100/100 expired |
| `2413c96` | catalogd: Step 8 — `bin/parity_subject_audit` (Rust side of cross-runtime parity probe) | known-answer + verify modes match Go byte-for-byte |
| `2222227` | parity helper hardening (panic-noise → die() helper, abs path stripped from doc) from scrum | parity probe still 6/6 |
| `4708717` | **Phase 1.6 BIPA wave** — Gate 4 absence test (4/4 with bypass coverage), §2 attestation script (3/3 evidence checks), Gate 1/2/5 doc scaffolds with ⚖ COUNSEL markers | 4/4 mcp-server Bun tests, 3/3 evidence on live data |
| `c7aa607` | Phase 1.6 scrum fixes — schema fingerprint hashes name+type+nullable, Gate 4 catches object-literal + class-field bypasses, pyarrow dep gate, item 7 deferral rationale | 4/4 + 3/3 still pass |
| `f1fa6e4` | **Phase 1.6 Gate 3a** — `crates/catalogd/src/biometric_endpoint.rs`: `POST /biometric/subject/{id}/photo` with consent gate, quarantined storage (mode 0700/0600), audit chain link, `BiometricCollection` field on SubjectManifest | 11 unit tests PASS, live roundtrip 200 |
| `3708e6a` | Gate 3a scrum fixes — transactional rollback on audit failure (BIPA convergent BLOCK), Content-Type parameter handling, relative data_path, ts+uuid filename, dead code removed | 11 tests + cross-runtime parity 6/6 |
| `7e0112b` | retention_sweep: stray indent fix on biometric_collection field | sweep tests still 8/8 |
| `848a458` | **Phase 1.6 Gate 5** — `POST /biometric/subject/{id}/erase` per BIPA destruction runbook. Two scopes (biometric_only / full); audit row appended BEFORE photo unlink so the chain has legal proof of intent even if file delete fails; manifest rolled back on audit failure. Trigger taxonomy: retention_expiry / consent_withdrawal / rtbf / court_order. | 21 unit tests (10 erasure-specific) PASS |
| `8ec43e0` | **Phase 1.6 Gate 3b** — deepface integration design doc (Option A subprocess / Option B ONNX-in-Rust / **Option C defer**). Recommends C: BIPA-safest, classifications field stays None, all load-bearing surfaces (consent + audit + retention + erasure) ship without it. Forces "do we actually need classifications" to be answered by product, not spec inertia. | doc-only |
**Cross-runtime parity (post-this-wave):** 6 probes, 38/38 byte-identical assertions —
`validator(6/6) + extract_json(12/12) + session_log(4/4) + materializer(2/2) + embed(8/8) + subject_audit(6/6)`.
Run `cd /home/profit/golangLAKEHOUSE && for p in scripts/cutover/parity/*.sh; do bash "$p"; done` to re-verify.
**Three runtime-divergence classes caught + fixed by the parity probe authoring loop** (cataloged because they recur):
1. Go `omitempty` on string fields strips empty values that Rust serde always emits → broken HMAC
2. `time.RFC3339Nano` truncates trailing-zero nanoseconds where chrono `AutoSi` keeps 9 digits → broken HMAC
3. Go `json.Marshal` HTML-escapes `<>&` where serde keeps literal → broken HMAC on any field with those chars
All three have regression-locked tests; structural impossibility going forward.
**Phase 1.6 BIPA pre-launch gates — status table:**
| Item | Status | Evidence |
|---|---|---|
| Gate 1 — public retention schedule | eng-staged, ⚖ counsel pending | `docs/policies/consent/biometric_retention_schedule_v1.md` |
| Gate 2 — informed consent template | eng-staged, ⚖ counsel pending | `docs/policies/consent/biometric_consent_template_v1.md` |
| Gate 3a — photo-upload endpoint | **DONE** | 11 unit tests + live `POST /biometric/subject/{id}/photo` |
| Gate 3b — deepface classification | **design doc shipped** (`8ec43e0`) — recommends Option C (defer); awaits product confirmation | `docs/PHASE_1_6_BIPA_GATES.md` Gate 3b section |
| Gate 4 — name→ethnicity removal | **DONE** | `mcp-server/phase_1_6_gate_4.test.ts` 4/4 with bypass coverage |
| Gate 5 — destruction runbook + erasure endpoint | **eng-DONE** (`848a458`); ⚖ counsel review of runbook still pending | `docs/runbooks/BIPA_DESTRUCTION_RUNBOOK.md` + `POST /biometric/subject/{id}/erase` (21 tests) |
| §2 cryptographic attestation | eng-DONE, signature pending | `docs/attestations/BIPA_PRE_IDENTITYD_ATTESTATION_2026-05-03.md` (SHA-256 evidence hash, 3/3 checks pass on live data) |
| §3 employee training | deferred | conditional on operator population size |
**Calendar bottleneck:** counsel review of items 1/2/5-runbook/§2 attestation. Engineering long pole is Gate 3b (deepface) — design doc landed (`8ec43e0`); needs product confirmation that classifications are required before engineering starts. Recommendation in doc is Option C (defer) on BIPA-safety grounds.
**Operational state:**
- `LH_SUBJECT_AUDIT_KEY=/etc/lakehouse/subject_audit.key` (32-byte HMAC signing key, mode 0400) loaded into systemd unit. **Moved off /tmp 2026-05-05** — /tmp wipes on reboot, which on May 5 disabled `/audit` + `/biometric` endpoints (gateway fails-closed at `crates/gateway/src/main.rs:459` if signing key is absent). Persistent path is per spec line 112.
- `LH_LEGAL_AUDIT_TOKEN_FILE=/etc/lakehouse/legal_audit.token` (44-char legal-tier token, mode 0400) loaded into systemd unit
- **Key rotation 2026-05-05:** prior key was lost when /tmp wiped on reboot. New key generated at canonical path. The 5 pre-rotation audit chains for `WORKER-{1..5}` (backfill data with `consent=pending_backfill_review`) will tamper-detect under the new key — expected and correct behavior on key rotation, not a bug. New chain entries from 2026-05-05 forward verify cleanly.
- `data/_catalog/subjects/` holds 100 backfilled `WORKER-N.json` manifests + per-subject `WORKER-N.audit.jsonl` HMAC chains
- `data/biometric/uploads/<safe_id>/<ts>_<uuid>.<ext>` quarantined photo storage (mode 0700 dir / 0600 file). 2 photos uploaded for WORKER-2 during live verify.
- `/audit/subject/{id}` mounted on gateway with chain_verified=true on every probe
- `/biometric/subject/{id}/photo` mounted on gateway, refuses 403 without `consent.biometric.status="given"`
---
## WHAT LANDED 2026-05-01 → 2026-05-02 (10 commits — Lance gauntlet + cross-runtime parity wave)
| Commit | What | Verified |
|---|---|---|
| `5d30b3d` | lance: auto-build doc_id btree in `lance_migrate` handler | doc-fetch ~5ms (was ~100ms full scan) on scale_test_10m |
| `044650a` | lance-bench: same scalar build post-IVF (matches gateway) | cargo check clean |
| `7594725` | lance: 4-pack — `sanitize_lance_err` + 7 unit tests + 9-probe smoke + 10M re-bench | smoke 9/9 PASS, tests 7/7 PASS |
| `98b6647` | gateway: `IterateResponse.trace_id` echoed; session_log_path enabled | parity probes see one unified JSONL |
| `57bde63` | gateway: trace-id propagation + coordinator session JSONL (Rust parity with Go wave) | session_log_parity 4/4 |
| `ba928b1` | aibridge: drop Python sidecar from hot path; AiClient → direct Ollama | aibridge tests 32/32 PASS, /ai/embed live 768d |
| `654797a` | gateway: pub `extract_json` + `parity_extract_json` bin | extract_json_parity 12/12 |
| `c5654d4` | docs: pointer to `golangLAKEHOUSE/docs/ARCHITECTURE_COMPARISON.md` | — |
| `150cc3b` | aibridge: LRU embed cache, 236× RPS warm (78ms → 129us p50) | load test |
| `9eed982` | mcp-server: /_go/* pass-through for G5 cutover slice | — |
| `6e34ef7` | gitignore: stop tracking 100+ runtime ephemera (data/_*, lance, logs, node_modules) | untracked dropped 100+ → 0 |
| `41b0a99` | chore: add 33 real items that were sitting untracked (scripts, scenarios, kimi reports, dev UIs) | clean working tree |
**Cross-runtime parity (post-this-wave):** 32/32 across 5 probes — `validator(6/6) + extract_json(12/12) + session_log(4/4) + materializer(2/2) + embed(8/8)`. Run `cd /home/profit/golangLAKEHOUSE && for p in scripts/cutover/parity/*.sh; do bash "$p"; done` to re-verify.
**Lance backend (was untested 5 days ago, now gauntlet-ready):**
- `cargo test -p vectord-lance --release` → 7/7 PASS
- `./scripts/lance_smoke.sh` → 9/9 PASS against live gateway
- `reports/lance_10m_rebench_2026-05-02.md` — search warm ~20ms / cold ~46ms median, doc-fetch ~5ms post-btree
---
## VERIFIED WORKING RIGHT NOW
### The client demo (Staffing Co-Pilot)
**Public URL:** `https://devop.live/lakehouse/` — 200, "Staffing Co-Pilot" (159 KB SPA, leaflet maps, dark theme).
**Local URL:** `http://localhost:3700/` — same page, served by `mcp-server/index.ts` (PID 1271, started 09:48 CDT today).
**The staffers console** (the one the client was thoroughly impressed with):
- `https://devop.live/lakehouse/console` — 200, "Lakehouse — What Your Staffing System Would Do" (26 KB)
- Pulls project index via `/api/catalog/datasets` (36 datasets) + playbook memory via `/api/vectors/playbook_memory/stats` (4,701 entries with embeddings, real ops like *"fill: Maintenance Tech x2 in Milwaukee, WI"*)
Client-visible flow that works end-to-end on the public URL:
| Endpoint | Sample output |
|---|---|
| `GET /api/catalog/datasets` | 36 datasets indexed: timesheets 1M, call_log 800K, workers_500k 500K, email_log 500K, workers_100k 100K, candidates 100K, placements 50K, job_orders 15K, successful_playbooks_live 2,077 |
| `GET /api/vectors/playbook_memory/stats` | 4,701 fill operations with embeddings |
| `GET /system/summary` | 36 datasets, 2.98M rows, 60 indexes, 500K workers loaded, 1K candidates |
| `POST /intelligence/staffing_forecast` | 744 Production Workers needed in 30d, 11,281 bench (4,687 reliable), coverage 1,444%, risk=ok. Same for Electrician (need 32, bench 2,440) and Maintenance Tech (need 17, bench 5,004). |
| `POST /intelligence/permit_contracts` | permit `3442956` $500K → 3 Production Workers, 886-candidate pool, 95% fill, $36K gross. 5 more Chicago permits with 8 workers each, same pool, 95% fill, $96K each. |
| `POST /intelligence/market` | major Chicago permits ranked: $730M O'Hare, $615M 307 N Michigan, $580M casino, $445M Loop transit (real geo coords). |
| `POST /intelligence/permit_entities` | architects + contractors from permit contacts (e.g. "KACPRZYNSKI, ANDY", "SLS ELECTRICAL SERVICE"). |
| `POST /intelligence/activity` + `/intelligence/arch_signals` + `/intelligence/chat` | all 200 |
The demo tells the story: *"upcoming Chicago contracts → workers needed → coverage from the bench → architects/contractors involved → revenue and margin."* That's the "live data + anticipating contracts + complete workflow" pitch — working as of right now.
### Backend, verified live this session
| Surface | State |
|---|---|
| Gateway `:3100` | up, 4 providers configured, `/v1/health` 200 with 500K workers loaded |
| MCP server `:3700` (Co-Pilot demo) | up, all `/intelligence/*` endpoints respond |
| VCP UI `:3950` | started this session, `/data/*` 200, real numbers |
| Observer `:3800` | ring full (2,000/2,000) — older events evicted, query Langfuse for 24h-ago state |
| Sidecar `:3200` | up |
| Langfuse `:3001` | recording, `gw:/log` + `v1.chat:openrouter` traces visible |
| LLM Team UI `:5000` | up, only `extract` mode registered |
| OpenCode fleet | **40 models reachable through one `sk-*` key** (verified live `GET https://opencode.ai/zen/v1/models`) |
OpenCode catalog (live):
- Claude: opus-4-7, opus-4-6, opus-4-5, opus-4-1, sonnet-4-6, sonnet-4-5, sonnet-4, haiku-4-5
- GPT-5: 5.5-pro, 5.5, 5.4-pro, 5.4, 5.4-mini, 5.4-nano, 5.3-codex-spark, 5.3-codex, 5.2, 5.2-codex, 5.1-codex-max, 5.1-codex, 5.1-codex-mini, 5.1, 5-codex, 5-nano, 5
- Gemini: 3.1-pro, 3-flash
- GLM: 5.1, 5
- Minimax: m2.7, m2.5
- Kimi: k2.6, k2.5
- Qwen: 3.6-plus, 3.5-plus
- Other: BIG-PKL (was a typo-prone name in the catalog, model id starts with "big-pkl-something")
- Free tier: minimax-m2.5-free, hy3-preview-free, ling-2.6-flash-free, trinity-large-preview-free
### The substrate (frozen — do not re-architect)
- Distillation v1.0.0 at tag `e7636f2` — **145/145 bun tests pass, 22/22 acceptance, 16/16 audit-full**
- Output: `data/_kb/distilled_{facts,procedures,config_hints}.jsonl` + `data/vectors/distilled_{factual,procedural,config_hint}_v20260423102847.parquet`
- Auditor cross-lineage: Kimi K2.6 ↔ Haiku 4.5 alternation, Opus auto-promote on diffs >100k chars, **per-PR cap=3 with auto-reset on new head SHA**
- Pathway memory: 88 traces, 11/11 successful replays (probation gate crossed)
- Mode runner: 5 native modes; `codereview_isolation` is default; composed-corpus auto-downgrade verified Apr 26 (composed lost 5/5 vs isolation, p=0.031)
### Matrix indexer
30+ live corpora including:
- 5 versions of `workers_500k_v1..v9` (50K embedded chunks each)
- 11 batched 2K-row shards `w500k_b3..b17`
- `chicago_permits_v1` (3,420), `resumes_100k_v2` (100K candidates), `ethereal_workers_v1` (10K)
- `lakehouse_arch_v1` (2,119), `lakehouse_symbols_v1` (2,470), `lakehouse_answers_v1` (1,269), `scrum_findings_v1` (1,260)
- `kb_team_runs_v1` (12,693) + `kb_team_runs_agent` (4,407) — LLM-team play history embedded
- `distilled_factual_v20260423102507` (8) — distillation output
### Code health
- `cargo check --workspace` → **0 warnings, 0 errors**
- `bun test auditor + tests/distillation` → **145/145 pass**
- `ui/server.ts` + `auditor.ts` bundle clean
---
## DO NOT RELITIGATE
- **PR #11 is merged into `origin/main` as `ed57eda`** — do not "still need to merge PR #11."
- **Distillation tag `distillation-v1.0.0` at `e7636f2` is FROZEN** — do not re-architect schemas, scorer rules, audit fixtures.
- **Kimi forensic HOLD verdict (2026-04-27) was 2/8 false + 6/8 latent** — do not re-debate, see `reports/kimi/audit-last-week-full.md`.
- **`candidates_safe` `vertical` column bug** — fixed at catalog metadata layer in commit `c3c9c21`. Do not "discover" it again.
- **Decisions A/B/C/D from `synthetic-data-gap-report.md`** — all four scripts shipped today (`d56f08e`, `940737d`, `c3c9c21`). Do not "ask J for approval."
- **`workers_500k.phone` type fixup** — already string. The fixup script is idempotent; running it is a no-op.
- **`client_workerskjkk` typo dataset** — was breaking every SQL query (catalog had it registered, file didn't exist). Removed via `DELETE /catalog/datasets/by-name/client_workerskjkk` this session. Do not re-add. Adding a startup gate that errors on unrecognized parquet names is the long-term fix per now.md Step 2C.
- **Python sidecar dropped from hot path 2026-05-02 (`ba928b1`)** — AiClient calls Ollama directly. Do not "wire python embedding back in." `lab_ui.py` + `pipeline_lab.py` keep running as dev-only UIs (not on the runtime path).
- **Lance backend gauntlet (2026-05-02)** — sanitizer over all 5 routes, 7 unit tests, 9-probe smoke, 10M re-bench. The `doc_id` btree auto-builds inside `lance_migrate` AND `lance-bench`. Do not "discover" the missing scalar index again or the leaked filesystem paths in error bodies.
- **Cross-runtime parity = 32/32** across 5 probes in `golangLAKEHOUSE/scripts/cutover/parity/`. Do not "build a parity probe for X" without checking — validator, extract_json, session_log, materializer, and embed are all already covered.
- **Decisions tracker is `golangLAKEHOUSE/docs/ARCHITECTURE_COMPARISON.md`** — single living source of truth for cross-runtime decisions. As of 2026-05-02 it has 0 `_open_` code work items; only 2 strategic items left (Lance vs Parquet+HNSW-with-spilling, Go-vs-Rust primary cutover).
- **PRD line 70 is load-bearing — "Everything runs locally, no cloud APIs."** Yesterday's PR #13 violated this by routing customer hot-path inference to opencode/openrouter/ollama_cloud. **REVERTED 2026-05-03 (`d054c0b`).** The customer hot path (modes.toml staffing_inference, doc_drift_check; execution_loop overseer escalation) is now local Ollama (qwen3.5:latest). Cloud providers stay configured in providers.toml for **explicit dev-tool opt-in only** (scrum, auditor, bot/propose). Do NOT re-add cloud models to the hot path defaults — the customer demo runs on local + free.
- **`/v1/usage` shows by_provider=ollama only** for any customer-shape request. If you see by_provider including kimi/openrouter/opencode/ollama_cloud for normal /v1/iterate or /v1/respond traffic, something has regressed. Verify with: `curl -sf http://127.0.0.1:3100/v1/usage | jq .by_provider`.
- **`./scrum` is a TOOL, not architecture.** Lives at repo root. J runs it manually. Outputs findings to `data/_kb/scrum_findings.jsonl` (the KB). Findings inform development; they do NOT auto-fold into PRDs/design docs/code. If you find yourself proposing to "wire scrum into [some pipeline]" — stop. It's J's tool.
- **Test code in main is ACTIVELY being cleaned out.** 2026-05-03 commits `6aafd41` + `f4ebd22` removed 12 orphaned dev experiments (~2900 LOC) from `tests/real-world/` and `scripts/`. If you find more zero-reference experimental files, surface them — don't auto-delete unless the pattern is clearly a one-time-experiment-with-zero-consumers like the ones already removed.
---
## FIXES MADE THIS SESSION (2026-04-27 evening)
1. **`crates/gateway/src/v1/iterate.rs:93`** — `state` → `_state` (cleared the one cargo warning).
2. **`lakehouse-ui.service` (Dioxus)** — disabled. Was failing 7,242 times against a missing `target/dx/ui/debug/web/public` build dir. `systemctl stop && disable`.
3. **VCP UI on `:3950`** — started `bun run ui/server.ts` (PID 1162212, log `/tmp/lakehouse_ui.log`). `/data/*` endpoints now 200 with real data.
4. **`client_workerskjkk` catalog entry** — `DELETE /catalog/datasets/by-name/client_workerskjkk` removed the dead manifest. **This was the actual root cause** of `/system/summary` reporting `workers_500k_rows: 0` and the demo showing zero bench. Every SQL query was failing schema inference on the missing file before reaching its target table. Fixed → `workers_500k_rows: 500000`, `candidates_rows: 1000`, demo coverage flipped from "critical 0%" to actual percentages on devop.live/lakehouse.
## FIXES MADE THIS SESSION (2026-04-28 early — face pool)
5. **Synthetic StyleGAN face pool — 1000 faces, gender+race+age tagged.** `scripts/staffing/fetch_face_pool.py` fetches from thispersondoesnotexist.com; `scripts/staffing/tag_face_pool.py --min-age 22` runs deepface and excludes minors. `data/headshots/manifest.jsonl` now has gender (494 men / 458 women), race (caucasian 662 · east_asian 128 · hispanic 86 · middle_eastern 59 · black 14 · south_asian 3), age, and 48 minor exclusions. Server pool = 952 servable faces.
6. **`mcp-server/index.ts:1308` `/headshots/:key` route** — gender×race×age intersection bucketing with graceful fallback (gender-only → all). Same key always returns same face; different keys spread evenly.
7. **`/headshots/_thumbs/` pre-resized 384×384 webp** (60× smaller: 587KB → ~11KB). Without this, 40-card grids overran Chrome's parallel-connection budget and ~75% of tiles never finished decoding. Generated via parallel ffmpeg (`xargs -P 8`); `.gitignore`d.
8. **`mcp-server/search.html` + `console.html`** — dropped `img.loading='lazy'`. With 11KB thumbs, eager load is cheap (~500KB for 50 cards) and avoids the off-screen race that lazy decode produced.
9. **ComfyUI on-demand uniqueness — `serve_imagegen.py:32`** added `seed` to `_cache_key()` (was caching by prompt only — 3 different worker seeds collapsed to 1 cached image). Verified: seed=839185194/195/196 → 3 distinct md5s.
10. **`mcp-server/index.ts:1234` `/headshots/generate/:key`** — ComfyUI hot-path that derives a deterministic-per-worker seed via djb2-style hash; cold ~1.5s, cached ~1ms. Worker prompt format: `professional corporate headshot portrait of a {age}-year-old {race} {gender}, {role}, neutral expression, plain studio background, soft natural lighting, sharp focus, photorealistic, dslr`. Cache at `data/headshots_gen/` (gitignored, regeneratable).
11. **Confidence-default name resolution** in `search.html` — `genderFor()` and `guessEthnicityFromFirstName()` lookup tables (FEMALE_NAMES, MALE_NAMES, NAMES_HISPANIC, NAMES_BLACK, NAMES_SOUTH_ASIAN, NAMES_EAST_ASIAN, NAMES_MIDDLE_EASTERN). Xavier → man+hispanic, Aisha → woman+black, etc. Every worker resolves to a face-pool bucket.
End-to-end verified: playwright run on `https://devop.live/lakehouse/?q=forklift+operators+IL` → 21/21 cards loaded, 0 broken, all 384×384 webp thumbs.
---
## ⚠ PRODUCTION-READY BLOCKER (2026-05-03)
**Audit-trail capability is the gate to client signature.** Smoke + parity tests prove the surface compiles; they do NOT prove an audit response can be produced for a specific person. Staffing client won't sign without defensible discrimination-claim response capability.
**Authoritative document:** `docs/AUDIT_TRAIL_PRD.md` — drafted 2026-05-03. Defines worked example (John Martinez at Warehouse B), the per-decision audit row schema, the surface map of where decisions happen today, current-state-vs-target gap table, and 9-phase implementation sequence.
**Phase 1 (discovery walk) requires NO J approval — it's read-only.** Phases 2+ have explicit open questions in §10 of the PRD that need J's call before they can start.
Until phase 9 exit criterion is met, **do not claim "production-ready" on customer-facing surfaces.** Internal substrate (Lance, sidecar drop, parity probes) is solid; subject-of-record audit story is not.
---
## OPEN — but not blocking the demo
| Item | What | When to act |
|---|---|---|
| `modes.toml` `staffing_inference.matrix_corpus` | still says `workers_500k_v8`. v9 in vector index is from Apr 17 (raw-sourced, not safe-view). The new `build_workers_v9.sh` rebuilds from `workers_safe`. | Run when you have 30+ min for the rebuild. |
| Open PRs #6, #7, #10 | All closed 2026-05-02 — superseded / empty / stale. PR #12 merged 2026-05-03 (`a5d9070`). PR #13 merged 2026-05-03 (`feb638e`). | Done. |
| `test/enrich-prd-pipeline` branch | 35 unmerged commits, includes more-evolved auditor/inference.ts (666 vs main's 580 lines), curation+fact-extractor wiring | Reconcile or formally archive — see `memory/project_unmerged_architecture_work.md`. |
| `federation-hnsw-trials` stash | Lance + S3/MinIO prototype, `aws-config` crate added, 708 insertions | Phase B from EXECUTION_PLAN.md — revisit when Parquet vector ceiling actually hurts. |
| `candidates` manifest drift | manifest 100K vs SQL 1K. Cosmetic. | Run a metadata resync if it matters. |
---
## RUNTIME CHEATSHEET
```bash
# Verify the demo (public + local both work)
curl -sS https://devop.live/lakehouse/ # Co-Pilot HTML
curl -sS https://devop.live/lakehouse/console # staffers console
curl -sS -X POST https://devop.live/lakehouse/intelligence/staffing_forecast \
-d '{}' -H 'content-type: application/json' \
| jq '.forecast[] | {role, demand_workers, bench_total, coverage_pct, risk}'
# Restart sequence (after Rust changes)
sudo systemctl restart lakehouse.service # gateway :3100
sudo systemctl restart lakehouse-auditor # auditor daemon
sudo systemctl restart lakehouse-observer # observer :3800
# UI bun on :3950 is NOT systemd-managed (lakehouse-ui.service is disabled).
# Restart manually: kill <pid>; nohup bun run ui/server.ts > /tmp/lakehouse_ui.log 2>&1 &
# Health checks
curl -sS http://localhost:3100/v1/health | jq # workers_count, providers
curl -sS http://localhost:3100/vectors/pathway/stats | jq
curl -sS http://localhost:3100/v1/usage | jq # since-restart cost
curl -sS http://localhost:3700/system/summary | jq # dataset counts
```
---
## VISION — what we're actually building (not what's done)
J's framing for the legacy staffing company:
- Pull live data, anticipate contracts based on Chicago permits → real architect/contractor associations, headcount, time period, money, scope.
- Hybrid + memory index → search large corpora cheaply.
- Email comes in → verify against contract; SMS comes in → alert when index changes.
- Real-time.
- Invent metrics nobody else has using the hybrid index.
- Next stage: workers download an app → geolocation clock-in → automatic responsiveness measurement, no user effort, with incentives for using it.
- Find people getting certificates (passive cert tracking).
- Pull union data → bring contracts that work for **employees**, not just employers.
- All metrics visible, nothing hidden, value-aligned with what each side actually needs.
If a future session is shaving away from this vision toward "fix the cutover" or "land Phase X," the vision wins. Phases are scaffolding for the vision, not the goal.
---
## CURRENT PLAN — fix the demo for the legacy staffing client
Built from playwright audit of the live demo (2026-04-27 evening). Each item ends in something the client can SEE, not internal cleanups.
**Demo state is anchored by git tag `demo-2026-04-27`** (commit `ed57eda`, the merge of PR #11). To restore code state: `git checkout demo-2026-04-27`. To restore runtime state: `DELETE /catalog/datasets/by-name/client_workerskjkk` (catalog hot-fix is not in git).
### P1 — Search box that actually filters (highest visible impact)
**Problem:** typing in `#sq` and pressing Enter fires `POST /intelligence/chat` with body `{"message":"<query>"}`. The state (`#sst`) and role (`#srl`) selects are ignored — never sent in the body. So every search returns a generic chat completion, never a SQL+vector hybrid filter against `workers_500k`. That is the "cached/generic response" the client sees.
**Fix:** in `mcp-server/search.html`, change the search-submit handler to call the real worker search endpoint with `{query, state, role, top_k}`. The MCP `search_workers` tool surface already exists; route the form there. Render returned worker rows in the existing card grid.
**Done when:** typing "forklift" + state IL + role "Forklift Operator" returns ≤ top_k IL Forklift Operators, and changing state to WI returns different workers.
### P2 — Contractor-name click → `/contractor` profile page
**Problem:** clicking a contractor name in any rendered card stays on `/lakehouse/`. URL doesn't change.
**Fix:** wrap contractor names in `<a href="/contractor?name=<encoded>">`. The page `mcp-server/contractor.html` (14.8 KB, "Contractor Profile · Staffing Co-Pilot") already exists at `/contractor` and the data endpoint `/intelligence/contractor_profile` already returns rich data.
**Then check contractor.html actually shows:** full history of every record the database has on that contractor + heat map of locations underneath + relevant info (per J 2026-04-27). If the page is incomplete, finish it. Otherwise just wire the link.
**Done when:** clicking "KACPRZYNSKI, ANDY" opens a profile with: every Chicago permit they're contact_1 or contact_2 on, a leaflet map with markers for each address, and any matched workers from prior placements at their sites.
### P3 — Substrate signal at the bottom shows the right numbers
**Problem:** J reports the bottom panel says "playbook memory empty, 80 traces 0 replies." Reality from the live endpoints: `/api/vectors/playbook_memory/stats` = 4,701 entries with embeddings; `/vectors/pathway/stats` = 88 traces, 11/11 replays.
**Fix:** find the renderer in search.html that builds the substrate signal panel; verify it's hitting the right endpoints and reading the right keys; fix shape mismatches.
**Done when:** bottom panel shows real numbers (4,701 playbooks, 88 traces, 11/11 replays) and references at least one specific recent operation from the playbook stats sample.
### P4 — Top nav reflects today's architecture
**Problem:** Walkthrough/Architecture/Spec/Onboard/Alerts/Workspaces tabs all return 200 but content is from old architecture. Doesn't mention: gateway scratchpad, memory indexer, ranker, mode runner, OpenCode 40-model fleet, distillation substrate, auditor cross-lineage.
**Fix:** rewrite `mcp-server/proof.html` (or add a single new page "What's running" that replaces Architecture+Spec) to describe what's actually shipped as of `demo-2026-04-27`. Keep one architecture page, drop redundancy. Either complete or hide Onboard/Alerts/Workspaces — J's call which.
**Done when:** the architecture page tells a non-technical reader, in 2 minutes, what each piece does in coordinator-relatable terms ("intern that read every email", not "3-stage adversarial inference pipeline").
### P5 — Caching for the project-index build_signal (J flagged unfinished)
**Problem:** "we never finished our caching for project index build signal it's not pulling new information." Need to find what `build_signal` refers to. Likely a scrum/auditor signal that should rebuild the `lakehouse_arch_v1` corpus on commit but isn't wired to.
**Fix:** identify the build-signal pipeline (likely in `auditor/` or `crates/vectord/`), wire its emit to a corpus rebuild, verify by making a test commit and watching the new chunk appear in `/vectors/indexes` for `lakehouse_arch_v1`.
**Done when:** committing a new file to `crates/` causes `lakehouse_arch_v1` chunk_count to increase within N minutes.
### P0 — Anchor the demo state (DONE)
Tagged `ed57eda` as `demo-2026-04-27`. Future sessions: `git checkout demo-2026-04-27` to land in this exact code state.
---
## EXECUTION ORDER
1. **P1 first** — biggest visible bug, ~30-60 min
2. **P2 next** — contractor click is the second-biggest "doesn't work" the client sees, ~20 min if profile is mostly done
3. **P3** — small fix, big "looks alive" win
4. **P4** — biggest scope; might split across sessions
5. **P5** — feature work, only after the visible bugs are fixed
Each item commits independently with the format `demo: P<n> — <one-line>` so the commit log doubles as a progress journal. After each merge to main, re-tag `demo-latest` to point at the new HEAD.
Stop here and let J pick which item to start with. Do not silently extend scope.
-7
View File
@@ -33,13 +33,6 @@ Defaults: polls every 90s, stops on `auditor.paused` file present.
- `data/_auditor/state.json` — last-audited head SHA per PR
- `data/_auditor/verdicts/{pr}-{sha}.json` — per-run verdict record
- `data/_kb/audit_lessons.jsonl` — one row per block/warn finding,
path-agnostic signature for dedup. Tailed by kb_query on each audit
to surface recurring patterns (2+ distinct PRs with same signature
→ info, 3-4 → warn, 5+ → block). This is how the auditor learns.
- `data/_kb/scrum_reviews.jsonl` — scrum-master per-file reviews. If
a file in the current PR has been scrum-reviewed, kb_query surfaces
the review as a finding with the accepted model and attempt count.
## Where YOU edit
+5 -80
View File
@@ -12,8 +12,7 @@
// review — reviews have self-review restrictions on Gitea and the
// auditor currently uses the same PAT as the PR author).
import { readFile, writeFile, mkdir, appendFile } from "node:fs/promises";
import { createHash } from "node:crypto";
import { readFile, writeFile, mkdir } from "node:fs/promises";
import { join } from "node:path";
import type { PrSnapshot, Verdict, Finding } from "./types.ts";
import { getPrDiff, postCommitStatus, postIssueComment } from "./gitea.ts";
@@ -23,13 +22,8 @@ import { runStaticCheck } from "./checks/static.ts";
import { runDynamicCheck } from "./checks/dynamic.ts";
import { runInferenceCheck } from "./checks/inference.ts";
import { runKbCheck } from "./checks/kb_query.ts";
import { runKimiArchitectCheck } from "./checks/kimi_architect.ts";
const VERDICTS_DIR = "/home/profit/lakehouse/data/_auditor/verdicts";
// Playbook for audit findings — one row per block/warn finding from a
// verdict. kb_query tails this next audit and escalates recurrences.
// Structured as JSONL so it's cheap to append and cheap to tail.
const AUDIT_LESSONS_JSONL = "/home/profit/lakehouse/data/_kb/audit_lessons.jsonl";
export interface AuditOptions {
// Skip the cloud inference call (fast path for iteration). Default false.
@@ -57,8 +51,8 @@ export async function auditPr(pr: PrSnapshot, opts: AuditOptions = {}): Promise<
const [staticFindings, dynamicFindings, inferenceFindings, kbFindings] = await Promise.all([
runStaticCheck(diff),
opts.skip_dynamic ? Promise.resolve(stubFinding("dynamic", "skipped by options")) : runDynamicCheck(),
opts.skip_inference ? Promise.resolve(stubFinding("inference", "skipped by options")) : runInferenceCheck(claims, diff, { pr_number: pr.number, head_sha: pr.head_sha }),
runKbCheck(claims, pr.files.map(f => f.path)),
opts.skip_inference ? Promise.resolve(stubFinding("inference", "skipped by options")) : runInferenceCheck(claims, diff),
runKbCheck(claims),
]);
const allFindings: Finding[] = [
@@ -68,29 +62,6 @@ export async function auditPr(pr: PrSnapshot, opts: AuditOptions = {}): Promise<
...kbFindings,
];
// Kimi-architect second-pass review. Off by default; enabled with
// LH_AUDITOR_KIMI=1. Sequential (not in the parallel block above)
// because it consumes the prior findings as context — Kimi sees what
// deepseek already flagged and is asked "what did everyone miss?"
// Failure-isolated by design: any error returns a single info-level
// skip finding so the existing audit pipeline never blocks on Kimi.
if (process.env.LH_AUDITOR_KIMI === "1") {
try {
const kimiFindings = await runKimiArchitectCheck(diff, allFindings, {
pr_number: pr.number,
head_sha: pr.head_sha,
});
allFindings.push(...kimiFindings);
} catch (e) {
allFindings.push({
check: "kimi_architect",
severity: "info",
summary: `kimi_architect outer error — ${(e as Error).message.slice(0, 160)}`,
evidence: [(e as Error).stack?.slice(0, 360) ?? ""],
});
}
}
const duration_ms = Date.now() - t0;
const metrics = {
audit_duration_ms: duration_ms,
@@ -101,7 +72,6 @@ export async function auditPr(pr: PrSnapshot, opts: AuditOptions = {}): Promise<
claims_strong: claims.filter(c => c.strength === "strong").length,
claims_moderate: claims.filter(c => c.strength === "moderate").length,
claims_weak: claims.filter(c => c.strength === "weak").length,
claims_empirical: claims.filter(c => c.strength === "empirical").length,
claims_total: claims.length,
diff_bytes: diff.length,
};
@@ -110,15 +80,6 @@ export async function auditPr(pr: PrSnapshot, opts: AuditOptions = {}): Promise<
await persistVerdict(verdict);
// Feedback loop — every block/warn finding becomes a row in
// audit_lessons.jsonl, dedup-keyed by (check, normalized-summary).
// The next audit's kb_query reads these and escalates recurring
// findings so we don't lose the "this pattern has been flagged
// before" signal across runs. Fire-and-forget; failure here must
// not break the audit.
appendAuditLessons(verdict).catch(e =>
console.error(`[audit] audit_lessons append failed: ${(e as Error).message}`));
if (!opts.dry_run) {
await postToGitea(verdict);
}
@@ -126,42 +87,6 @@ export async function auditPr(pr: PrSnapshot, opts: AuditOptions = {}): Promise<
return verdict;
}
// Normalizes a finding summary for dedup: strips path-specific tails
// ("in path/to/file.ts" → "in <file>"), line numbers, and long
// commit-hash snippets. The goal is: the SAME class of finding on
// DIFFERENT files should share a signature, so we can measure
// "this pattern keeps showing up."
function normalizedSignature(f: Finding): string {
const summary = String(f.summary)
.replace(/\bin\s+\S+\.(ts|rs|js|py|md)\b/gi, "in <file>")
.replace(/:\+?\d+\b/g, ":<line>")
.replace(/[0-9a-f]{8,}/gi, "<hash>")
.replace(/\s+/g, " ")
.trim()
.slice(0, 240);
const src = `${f.check}::${f.severity}::${summary}`;
return createHash("sha256").update(src).digest("hex").slice(0, 16);
}
async function appendAuditLessons(v: Verdict): Promise<void> {
const actionable = v.findings.filter(f => f.severity === "block" || f.severity === "warn");
if (actionable.length === 0) return;
await mkdir(join(AUDIT_LESSONS_JSONL, ".."), { recursive: true });
const rows: string[] = [];
for (const f of actionable) {
rows.push(JSON.stringify({
signature: normalizedSignature(f),
check: f.check,
severity: f.severity,
summary: f.summary,
pr_number: v.pr_number,
head_sha: v.head_sha,
audited_at: v.audited_at,
}));
}
await appendFile(AUDIT_LESSONS_JSONL, rows.join("\n") + "\n");
}
async function persistVerdict(v: Verdict): Promise<void> {
await mkdir(VERDICTS_DIR, { recursive: true });
const filename = `${v.pr_number}-${v.head_sha.slice(0, 12)}.json`;
@@ -208,7 +133,7 @@ function formatReviewBody(v: Verdict): string {
lines.push("");
// Per-check sections, only if the check produced findings.
const checkOrder = ["static", "dynamic", "inference", "kb_query", "kimi_architect"] as const;
const checkOrder = ["static", "dynamic", "inference", "kb_query"] as const;
for (const check of checkOrder) {
const fs = byCheck[check] ?? [];
if (fs.length === 0) continue;
@@ -241,6 +166,6 @@ function formatReviewBody(v: Verdict): string {
return lines.join("\n");
}
function stubFinding(check: "dynamic" | "inference" | "kimi_architect", why: string): Finding[] {
function stubFinding(check: "dynamic" | "inference", why: string): Finding[] {
return [{ check, severity: "info", summary: `${check} check skipped — ${why}`, evidence: [why] }];
}
-68
View File
@@ -1,68 +0,0 @@
// One-shot dry-run audit of a single PR. Useful for verifying check
// behavior (kb_query scrum surfacing, inference prompts, etc.) without
// posting to Gitea. Does NOT touch state.json and does NOT post
// commit status or PR comments.
//
// Run: bun run auditor/audit_one.ts <pr-number>
import { getPrSnapshot } from "./gitea.ts";
import { auditPr } from "./audit.ts";
async function main() {
const prNumRaw = process.argv[2];
if (!prNumRaw) {
console.error("usage: bun run auditor/audit_one.ts <pr-number>");
process.exit(2);
}
const prNum = Number(prNumRaw);
if (!Number.isFinite(prNum)) {
console.error(`invalid PR number: ${prNumRaw}`);
process.exit(2);
}
console.log(`[audit_one] fetching PR #${prNum}...`);
const pr = await getPrSnapshot(prNum);
console.log(`[audit_one] PR #${pr.number}: "${pr.title}" (head=${pr.head_sha.slice(0, 12)})`);
console.log(`[audit_one] files in diff: ${pr.files.length}`);
for (const f of pr.files) console.log(` - ${f.path} (+${f.additions}/-${f.deletions})`);
console.log("");
const verdict = await auditPr(pr, {
dry_run: true, // no Gitea posting
skip_dynamic: true, // don't run fixture
skip_inference: process.env.LH_AUDITOR_SKIP_INFERENCE === "1",
});
console.log("\n═══ VERDICT ═══");
console.log(`overall: ${verdict.overall}`);
console.log(`one-liner: ${verdict.one_liner}`);
console.log(`findings: total=${verdict.metrics.findings_total} block=${verdict.metrics.findings_block} warn=${verdict.metrics.findings_warn} info=${verdict.metrics.findings_info}`);
console.log("");
// Print findings, highlighting kb_query scrum surfacing
const byCheck: Record<string, typeof verdict.findings> = {};
for (const f of verdict.findings) (byCheck[f.check] ||= []).push(f);
for (const [check, findings] of Object.entries(byCheck)) {
console.log(`── ${check} (${findings.length}) ──`);
for (const f of findings) {
const tag = f.severity === "block" ? "🛑" : f.severity === "warn" ? "⚠️ " : "ℹ️ ";
console.log(` ${tag} [${f.severity}] ${f.summary}`);
if (f.summary.includes("scrum-master")) {
for (const e of f.evidence) {
console.log(` → ${e.slice(0, 200)}`);
}
}
}
}
const scrumFindings = verdict.findings.filter(f => f.summary.includes("scrum-master"));
console.log("");
console.log(`═══ SCRUM WIRE CHECK: ${scrumFindings.length} scrum-master findings surfaced by kb_query ═══`);
if (scrumFindings.length === 0) {
console.log(" (none — either no matching scrum_reviews.jsonl rows, or files didn't match PR diff)");
}
process.exit(0);
}
main().catch(e => { console.error("[audit_one] fatal:", e); process.exit(1); });
+103 -482
View File
@@ -13,61 +13,17 @@
// with a 15KB diff + claim list).
import type { Claim, Finding } from "../types.ts";
import { Glob } from "bun";
import { readFile, mkdir, appendFile } from "node:fs/promises";
import { extractFacts } from "../fact_extractor.ts";
const GATEWAY = process.env.LH_GATEWAY_URL ?? "http://localhost:3100";
// Rebuild 2026-04-26: route claim verification through /v1/mode/execute
// (task_class=pr_audit) so we get pathway memory + lakehouse_answers_v1
// + JSON-shaped framing molded into ONE prompt. The hand-rolled
// systemMsg/userMsg path was reinventing the mode runner badly.
//
// 2026-04-27 update: original default kimi-k2:1t hit a sustained
// upstream outage on Ollama Cloud (consistent 500 ISE across hours of
// retries — verified with trivial 8-token probes). Swapped default to
// deepseek-v3.1:671b which is proven working end-to-end through the
// pr_audit mode runner during Phase 5 distillation acceptance testing.
//
// 2026-09-02 update: Ollama Cloud subscription lapsed — every
// ollama_cloud model 402s ("requires a subscription"). J's call: sweep
// the auditor to OpenRouter. Same deepseek lineage via OpenRouter;
// tie-breaker moves to grok-4.3 because OpenRouter 404s grok-4.1-fast
// as deprecated. Both probed live through the gateway before landing.
// Vendor lineages stay distinct so consensus + tie-break won't
// fail-correlate.
const MODEL = process.env.LH_AUDITOR_REVIEW_MODEL ?? "openrouter/deepseek/deepseek-chat-v3.1";
const TIEBREAKER_MODEL = process.env.LH_AUDITOR_TIEBREAKER_MODEL ?? "openrouter/x-ai/grok-4.3";
const N_CONSENSUS = Number(process.env.LH_AUDITOR_CONSENSUS_N ?? 3);
const AUDIT_DISCREPANCIES_JSONL = "/home/profit/lakehouse/data/_kb/audit_discrepancies.jsonl";
// 40KB comfortably fits the consensus models' context windows
// (deepseek-v3.1 64K, gpt-oss-120b 128K). When the raw PR diff
// exceeds this, we truncate and signal it via curationNote — the
// pr_audit mode runner's matrix retrieval (lakehouse_answers_v1 +
// arch + symbols) supplies the cross-PR context that tree-split
// used to synthesize from scratch. Tree-split itself was retired
// 2026-04-27 (see commit deleting treeSplitDiff/callCloud/SHARD_*).
const MODEL = process.env.LH_AUDITOR_REVIEW_MODEL ?? "gpt-oss:120b";
// 40KB comfortably fits gpt-oss:120b's context. PR #1 (~39KB) was
// previously truncated at 15KB causing the reviewer to miss later
// files (gitea.ts, policy.ts) and flag "no Gitea client present" as a
// block finding when the file was simply outside the truncation window.
const MAX_DIFF_CHARS = 40000;
const CALL_TIMEOUT_MS = 120_000;
// Mode runner can take longer than a raw /v1/chat call because it does
// pathway-fingerprint lookup + matrix retrieval + relevance filter
// before the LLM call. Budget extra time so we don't trip on a slow
// answers-corpus search.
const MODE_RUNNER_TIMEOUT_MS = 240_000;
const REPO_ROOT = "/home/profit/lakehouse";
export interface InferenceContext {
pr_number: number;
head_sha: string;
}
const AUDIT_FACTS_JSONL = "/home/profit/lakehouse/data/_kb/audit_facts.jsonl";
export async function runInferenceCheck(
claims: Claim[],
diff: string,
ctx?: InferenceContext,
): Promise<Finding[]> {
export async function runInferenceCheck(claims: Claim[], diff: string): Promise<Finding[]> {
if (claims.length === 0) {
return [{
check: "inference",
@@ -77,38 +33,9 @@ export async function runInferenceCheck(
}];
}
// Empirical claims (runtime metrics / observed outcomes) can't be
// verified from the diff. Drop them from the cloud prompt so the
// reviewer doesn't chase ghosts. A future `runtime_evidence` check
// can validate these against data/_kb/*/summary.json outputs.
const verifiable = claims.filter(c => c.strength !== "empirical");
const empiricalCount = claims.length - verifiable.length;
if (verifiable.length === 0) {
return [{
check: "inference",
severity: "info",
summary: `all ${claims.length} claims are empirical (runtime metrics) — skipping cloud inference`,
evidence: [`empirical claims can't be verified from a static diff; needs runtime-evidence check`],
}];
}
// 2026-04-27 architecture simplification: dropped the tree-split
// scratchpad layer. Rationale: the mode runner's pr_audit pipeline
// pulls from lakehouse_answers_v1 (gold-standard prior audits) +
// lakehouse_arch_v1 + lakehouse_symbols_v1 via matrix retrieval. That
// corpus IS the cross-PR context the tree-split was synthesizing
// from scratch on every audit run. With the distillation substrate
// shipped (commits 27b1d27..1b433a9), per-shard fact extraction is
// redundant — and gpt-oss:120b at 168 calls/audit was the dominant
// cost. Now: truncate diff to MAX_DIFF_CHARS, hand straight to the
// mode runner, let retrieval supply context. ONE strong-model call
// per consensus rep × N=3 reps = 3 calls total per audit.
const truncated = diff.length > MAX_DIFF_CHARS
? diff.slice(0, MAX_DIFF_CHARS) + `\n...[${diff.length - MAX_DIFF_CHARS} more chars truncated — the pr_audit mode runner has matrix retrieval against lakehouse_answers_v1 + arch + symbols for cross-PR context]`
? diff.slice(0, MAX_DIFF_CHARS) + `\n...[${diff.length - MAX_DIFF_CHARS} more chars truncated]`
: diff;
const curationNote = diff.length > MAX_DIFF_CHARS
? ` (truncated ${diff.length}→${MAX_DIFF_CHARS} chars; matrix retrieval supplies cross-PR context)`
: "";
// Build the reviewer prompt in the same shape as run_codereview's
// review stage (llm_team_ui.py:10950), adapted for claim verification:
@@ -116,148 +43,118 @@ export async function runInferenceCheck(
// "Code: ..."
// "Review: bugs/security/perf/style/edge. Provide corrected code."
// We add: claim list upfront + ask for structured JSON verdict.
//
// Curation flag is now just a truncation flag — when the diff was
// cut, tell the reviewer it didn't see the full picture so it doesn't
// confidently mark a claim NOT BACKED based on absence in the
// (potentially incomplete) input.
const isCurated = curationNote.length > 0;
const prNumber = ctx?.pr_number ?? 0;
const systemMsg = [
"You review pull-request diffs against the author's own ship-claims.",
"For each claim, decide: is it backed by actual code in the diff, or is",
"it placeholder / aspirational / unwired?",
"",
"A claim is BACKED when the diff contains a real code path that delivers",
"the claimed behavior. A claim is NOT BACKED when:",
" - the claim asserts functionality but the diff only adds types/fields",
" with no consumer",
" - the claim mentions tests but no test function was added",
" - the claim claims integration but the integration point is a stub",
" - the diff contains unimplemented!() / todo!() / TODO comments",
" - the claim says 'works end-to-end' but the diff has no end-to-end test",
"",
"Respond with strict JSON only. No prose before or after. Shape:",
"{",
' "claim_verdicts": [',
' {"claim_idx": 0, "backed": false, "evidence": "short reason"}',
" ],",
' "unflagged_gaps": [',
' {"location": "file:line", "summary": "short description"}',
" ]",
"}",
].join("\n");
// N=3 consensus — fire the mode runner three times in parallel.
// Each /v1/mode/execute call composes pathway memory + answers corpus
// + JSON-shaped pr_audit framing internally, so the auditor's only
// job here is to vote-aggregate. Wall-clock ~= single call.
const primaryRuns = await Promise.all(
Array.from({ length: N_CONSENSUS }, () =>
runModeRunnerInference(truncated, verifiable, prNumber, isCurated, MODEL)),
);
const userMsg = [
`Ship-claims the author made (numbered 0..N-1):`,
claims.map((c, i) => ` ${i}. [${c.strength}] "${c.text}" at ${c.location}`).join("\n"),
"",
`Diff:`,
"```",
truncated,
"```",
"",
`For each numbered claim above, emit a claim_verdicts entry. For gaps the`,
`author DIDN'T claim but that look like placeholder code, emit unflagged_gaps.`,
`Strict JSON only, matching the shape described. No prose outside JSON.`,
].join("\n");
const parsedRuns = primaryRuns.filter(r => r.parsed !== null);
if (parsedRuns.length === 0) {
// All N calls failed. Surface the first-run diagnostic so the
// operator sees *why* (unreachable / non-200 / unparseable).
const first = primaryRuns[0];
let resp: Response;
try {
resp = await fetch(`${GATEWAY}/v1/chat`, {
method: "POST",
headers: { "content-type": "application/json" },
body: JSON.stringify({
provider: "ollama_cloud",
model: MODEL,
messages: [
{ role: "system", content: systemMsg },
{ role: "user", content: userMsg },
],
max_tokens: 3000,
temperature: 0.2,
think: true, // T3 overseer should reason — JSON shape is still required
}),
signal: AbortSignal.timeout(CALL_TIMEOUT_MS),
});
} catch (e) {
// Cloud unreachable → soft-fail. Don't block a PR because the
// reviewer model is down. Static + dynamic + kb still run.
return [{
check: "inference",
severity: "info",
summary: `cloud inference all ${N_CONSENSUS} consensus runs failed — ${first.error ?? "unknown"}`,
summary: "cloud inference unreachable — skipped",
evidence: [`fetch failed: ${(e as Error).message.slice(0, 180)}`],
}];
}
if (!resp.ok) {
return [{
check: "inference",
severity: "info",
summary: `cloud inference returned ${resp.status} — skipped`,
evidence: [`body: ${(await resp.text()).slice(0, 200)}`],
}];
}
const body: any = await resp.json();
const content: string = body?.choices?.[0]?.message?.content ?? "";
const usage = body?.usage ?? {};
const parsed = extractJson(content);
if (!parsed) {
return [{
check: "inference",
severity: "info",
summary: "cloud returned unparseable output — skipped",
evidence: [
`first-run diagnostic: ${first.diagnostic ?? "(none)"}`,
`successful runs: 0 / ${N_CONSENSUS}`,
`head: ${content.slice(0, 200)}`,
`tokens: ${usage.total_tokens ?? "?"}`,
],
}];
}
// Aggregate votes per claim_idx.
interface Votes { trues: number; falses: number; evidences: string[] }
const votesByClaim = new Map<number, Votes>();
const unflaggedByRun: any[][] = [];
// The N=3 consensus calls run via Promise.all — wall-clock is
// bounded by the SLOWEST call, not the sum. Pre-2026-04-27 we
// summed and reported "Xms total" which double/triple-counted
// (Opus self-audit caught it). Use max for accurate wall-clock.
let maxLatencyMs = 0;
let totalEnrichedChars = 0;
let bugFingerprintsSeen = 0;
let matrixKeptSeen = 0;
for (const run of parsedRuns) {
maxLatencyMs = Math.max(maxLatencyMs, run.latency_ms ?? 0);
totalEnrichedChars += run.enriched_chars ?? 0;
bugFingerprintsSeen = Math.max(bugFingerprintsSeen, run.bug_fingerprints ?? 0);
matrixKeptSeen = Math.max(matrixKeptSeen, run.matrix_kept ?? 0);
unflaggedByRun.push(Array.isArray(run.parsed?.unflagged_gaps) ? run.parsed.unflagged_gaps : []);
for (const v of run.parsed?.claim_verdicts ?? []) {
const idx = Number(v?.claim_idx);
if (!Number.isFinite(idx)) continue;
const rec = votesByClaim.get(idx) ?? { trues: 0, falses: 0, evidences: [] };
if (v.backed === false) {
rec.falses++;
rec.evidences.push(String(v.evidence ?? ""));
} else if (v.backed === true) {
rec.trues++;
}
votesByClaim.set(idx, rec);
}
}
const findings: Finding[] = [];
// Summary finding so the verdict layer knows the check ran.
// One summary info finding so the verdict layer knows the check ran.
findings.push({
check: "inference",
severity: "info",
summary: `pr_audit mode runner completed (model=${MODEL}, consensus=${parsedRuns.length}/${N_CONSENSUS}, ${maxLatencyMs}ms wall-clock)${curationNote}`,
summary: `cloud review completed (model=${MODEL}, tokens=${usage.total_tokens ?? "?"})`,
evidence: [
`claims voted: ${votesByClaim.size}`,
`parsed runs: ${parsedRuns.length} / ${N_CONSENSUS}`,
`enrichment: ${bugFingerprintsSeen} bug fingerprints, ${matrixKeptSeen} answers-corpus chunks, prompt avg ${Math.round(totalEnrichedChars / Math.max(parsedRuns.length, 1))} chars`,
`claim_verdicts: ${parsed.claim_verdicts?.length ?? 0}, unflagged_gaps: ${parsed.unflagged_gaps?.length ?? 0}`,
],
});
// Per-claim majority vote; tie-break if no majority.
const discrepancies: Array<{
claim_idx: number;
claim_text: string;
votes: { trues: number; falses: number };
resolution: "majority_backed" | "majority_not_backed" | "tiebreaker_backed" | "tiebreaker_not_backed" | "unresolved";
tiebreaker_model?: string;
}> = [];
for (const [idx, votes] of votesByClaim) {
const claim = verifiable[idx];
for (const v of parsed.claim_verdicts ?? []) {
if (v?.backed === false) {
const idx = typeof v.claim_idx === "number" ? v.claim_idx : -1;
const claim = claims[idx];
if (!claim) continue;
const totalVotes = votes.trues + votes.falses;
let notBacked: boolean | null = null;
let resolution: typeof discrepancies[number]["resolution"] = "majority_backed";
let evidenceText = "";
let tbModel: string | undefined;
if (votes.falses > votes.trues) {
notBacked = true;
resolution = "majority_not_backed";
evidenceText = votes.evidences[0] ?? "(no reason given)";
} else if (votes.trues > votes.falses) {
notBacked = false;
resolution = "majority_backed";
} else {
// Tie. Run tie-breaker with a different-architecture model
// through the same mode runner so framing/enrichment match.
const tb = await runModeRunnerInference(truncated, verifiable, prNumber, isCurated, TIEBREAKER_MODEL);
if (tb.parsed) {
const tv = (tb.parsed.claim_verdicts ?? []).find((v: any) => Number(v?.claim_idx) === idx);
if (tv?.backed === false) {
notBacked = true;
resolution = "tiebreaker_not_backed";
evidenceText = `(tie-breaker ${TIEBREAKER_MODEL}) ${String(tv.evidence ?? "")}`;
tbModel = TIEBREAKER_MODEL;
} else if (tv?.backed === true) {
notBacked = false;
resolution = "tiebreaker_backed";
tbModel = TIEBREAKER_MODEL;
} else {
resolution = "unresolved";
}
} else {
resolution = "unresolved";
}
}
// Log every case where the N runs disagreed — discrepancies are
// signal, not noise. Separate from audit_lessons.jsonl because
// they're about the *auditor's* quality, not the PR's quality.
const disagreed = totalVotes >= 2 && votes.trues > 0 && votes.falses > 0;
if (disagreed || resolution.startsWith("tiebreaker") || resolution === "unresolved") {
discrepancies.push({
claim_idx: idx,
claim_text: claim.text,
votes: { trues: votes.trues, falses: votes.falses },
resolution,
tiebreaker_model: tbModel,
});
}
if (notBacked === true) {
// Strong+unbacked = BLOCK. That's the whole point of the auditor.
const sev: Finding["severity"] = claim.strength === "strong" ? "block"
: claim.strength === "moderate" ? "warn"
: "info";
@@ -268,300 +165,24 @@ export async function runInferenceCheck(
summary: `cloud: claim not backed — "${claim.text.slice(0, 100)}"`,
evidence: [
`at ${claim.location}`,
`consensus: ${votes.falses}/${totalVotes} not-backed (resolution: ${resolution})`,
`cloud reason: ${evidenceText.slice(0, 200)}`,
`cloud reason: ${String(v.evidence ?? "no reason given").slice(0, 200)}`,
],
});
}
}
// Persist discrepancies so we can measure consensus drift over time.
if (discrepancies.length > 0 && ctx) {
persistDiscrepancies(ctx, discrepancies).catch(e =>
console.error(`[inference] discrepancy log failed: ${(e as Error).message}`));
}
// Use first run's parsed for downstream unflagged_gaps processing.
const parsed = parsedRuns[0].parsed;
// Route the curated scratchpad through llm_team's extract-facts
// pipeline when we have (a) a curated scratchpad (best signal about
// what the PR actually changed) and (b) PR context to scope facts.
// AWAITED (not fire-and-forget) so CLI callers like audit_one.ts
// don't exit before extraction lands; the systemd poller has plenty
// of headroom (90s cycle vs ~15s extraction). A failure inside
// extractAndPersistFacts is caught + logged but never throws.
// Post-2026-04-27: extraction now runs against the truncated diff
// (no scratchpad to extract from since tree-split was retired).
// Fact extraction is still useful for surfacing entities/symbols
// into audit_facts.jsonl even from truncated input.
if (isCurated && ctx && process.env.LH_AUDITOR_SKIP_EXTRACT !== "1") {
try {
await extractAndPersistFacts(truncated, ctx);
} catch (e) {
console.error(`[inference] fact extraction failed: ${(e as Error).message}`);
}
}
// Belt-and-suspenders: when operating on a curated scratchpad, drop
// the unflagged_gaps section entirely. The distillation can't
// reliably ground gap-detection, and false positives are worse than
// misses for this signal class. The systemMsg already asks the
// cloud to skip this section when curated — but the model may still
// emit it, so we filter here too.
const gapsToEmit = isCurated ? [] : (parsed.unflagged_gaps ?? []);
for (const g of gapsToEmit) {
const summary = String(g?.summary ?? "?");
const location = String(g?.location ?? "?");
// False-positive guard — when the cloud says "X not defined in this
// diff" or "missing implementation of X", the cloud may just mean
// "X is not in the added lines," not "X doesn't exist in the repo."
// Extract candidate symbol names and grep the repo. If any symbol
// is defined elsewhere, drop the finding — it's a known-symbol
// reference, not a placeholder.
if (/not\s+defined|missing\s+implementation|never\s+referenced\s+or\s+integrated/i.test(summary)) {
const symbols = extractSymbols(summary);
if (symbols.length > 0) {
const resolved = await symbolsExistInRepo(symbols);
if (resolved.length === symbols.length) {
// Every named symbol exists somewhere in the repo — silent drop.
continue;
}
if (resolved.length > 0) {
// Partially resolved — demote to info with a note.
findings.push({
check: "inference",
severity: "info",
summary: `cloud gap partially resolved by repo grep: ${summary.slice(0, 120)}`,
evidence: [
`location: ${location.slice(0, 140)}`,
`resolved via grep: ${resolved.join(",")}`,
`unresolved: ${symbols.filter(s => !resolved.includes(s)).join(",")}`,
],
});
continue;
}
}
}
for (const g of parsed.unflagged_gaps ?? []) {
findings.push({
check: "inference",
severity: "warn",
summary: `cloud-flagged gap not in any claim: ${summary.slice(0, 120)}`,
evidence: [`location: ${location.slice(0, 140)}`],
summary: `cloud-flagged gap not in any claim: ${String(g?.summary ?? "?").slice(0, 120)}`,
evidence: [`location: ${String(g?.location ?? "?").slice(0, 140)}`],
});
}
return findings;
}
// Single mode-runner call — consensus + tie-breaker dispatch through
// here. Returns parsed JSON shape + telemetry from /v1/mode/execute
// (latency, enrichment metrics) + any error diagnostic. NEVER throws.
// The consensus aggregator handles partial failures by dropping
// non-parsed runs from the vote.
interface CloudRunResult {
parsed: any | null;
latency_ms: number;
enriched_chars: number;
bug_fingerprints: number;
matrix_kept: number;
error?: string; // "unreachable" | "non_200" | "unparseable"
diagnostic?: string; // first 200 chars for debugging
model: string;
}
async function runModeRunnerInference(
diffOrScratchpad: string,
claims: Claim[],
prNumber: number,
isCurated: boolean,
model: string,
): Promise<CloudRunResult> {
// user_question carries the claim list + the curation note (if any).
// pr_audit's framing (mode.rs FRAMING_PR_AUDIT) holds the JSON shape +
// strict-output rules so we don't repeat them here.
const claimDigest = claims
.map((c, i) => ` ${i}. [${c.strength}] "${c.text}" at ${c.location}`)
.join("\n");
const curationNote = isCurated
? "\n\nNOTE: the FILE below is a curated multi-shard scratchpad of the diff, not the raw diff itself. Absence in the scratchpad is NOT evidence of absence in the actual diff. Only mark backed=false on direct contradiction (e.g. scratchpad shows the function is empty / a stub). Skip unflagged_gaps entirely when scratchpad is curated."
: "";
const userQuestion = [
"Verify each ship-claim against the diff (or scratchpad).",
"",
"Ship-claims (numbered 0..N-1):",
claimDigest,
curationNote,
"",
"Every claim above must produce exactly one claim_verdicts entry. Output strict JSON only — no prose outside the JSON object.",
].join("\n");
let resp: Response;
try {
resp = await fetch(`${GATEWAY}/v1/mode/execute`, {
method: "POST",
headers: { "content-type": "application/json" },
body: JSON.stringify({
task_class: "pr_audit",
file_path: `pr-${prNumber}.diff`,
file_content: diffOrScratchpad,
user_question: userQuestion,
force_model: model,
force_temperature: 0,
}),
signal: AbortSignal.timeout(MODE_RUNNER_TIMEOUT_MS),
});
} catch (e) {
return {
parsed: null, latency_ms: 0, enriched_chars: 0, bug_fingerprints: 0, matrix_kept: 0,
error: "unreachable", diagnostic: (e as Error).message.slice(0, 200), model,
};
}
if (!resp.ok) {
return {
parsed: null, latency_ms: 0, enriched_chars: 0, bug_fingerprints: 0, matrix_kept: 0,
error: "non_200", diagnostic: `${resp.status}: ${(await resp.text()).slice(0, 160)}`, model,
};
}
let body: any;
try { body = await resp.json(); }
catch (e) {
return {
parsed: null, latency_ms: 0, enriched_chars: 0, bug_fingerprints: 0, matrix_kept: 0,
error: "unparseable", diagnostic: (e as Error).message, model,
};
}
const content: string = typeof body?.response === "string" ? body.response : "";
const parsed = extractJson(content);
// Number-coerced extractors so a non-numeric upstream value (string,
// null, NaN) collapses to 0 instead of poisoning downstream
// arithmetic. Caught 2026-04-27 by kimi_architect self-audit —
// optional-chaining + ?? only catches null/undefined, not type drift.
const num = (v: unknown): number => {
const n = typeof v === "number" ? v : Number(v);
return Number.isFinite(n) ? n : 0;
};
return {
parsed,
latency_ms: num(body?.latency_ms),
enriched_chars: num(body?.enriched_prompt_chars),
bug_fingerprints: num(body?.sources?.bug_fingerprints_count),
matrix_kept: num(body?.sources?.matrix_chunks_kept),
error: parsed ? undefined : "unparseable",
diagnostic: parsed ? undefined : content.slice(0, 200),
model,
};
}
async function persistDiscrepancies(ctx: InferenceContext, discrepancies: any[]): Promise<void> {
await mkdir("/home/profit/lakehouse/data/_kb", { recursive: true });
const rows = discrepancies.map(d => JSON.stringify({
pr_number: ctx.pr_number,
head_sha: ctx.head_sha,
logged_at: new Date().toISOString(),
...d,
}));
await appendFile(AUDIT_DISCREPANCIES_JSONL, rows.join("\n") + "\n");
}
// Extract structured knowledge from the curated scratchpad and append
// to data/_kb/audit_facts.jsonl — one row per extract run, keyed by
// PR number + head SHA for scope tracking. kb_query tails this next
// audit to surface recurring entities/relationships across PRs.
async function extractAndPersistFacts(scratchpad: string, ctx: InferenceContext): Promise<void> {
const ex = await extractFacts(scratchpad);
if (ex.error && ex.entities.length === 0 && ex.facts.length === 0) {
// Full failure — log but don't write an empty row.
console.error(`[inference] extractFacts skipped row: ${ex.error}`);
return;
}
const row = {
pr_number: ctx.pr_number,
head_sha: ctx.head_sha,
extracted_at: ex.extracted_at,
extractor: ex.extractor_model,
verifier: ex.verifier_model,
llm_team_run_id: ex.llm_team_run_id ?? null,
facts: ex.facts,
entities: ex.entities,
relationships: ex.relationships,
verification_preview: ex.verification.slice(0, 400),
verifier_verdicts: ex.verifier_verdicts,
facts_dropped_by_verifier: ex.facts_dropped_by_verifier ?? 0,
schema_version: 2,
source: "audit_inference",
};
await mkdir("/home/profit/lakehouse/data/_kb", { recursive: true });
await appendFile(AUDIT_FACTS_JSONL, JSON.stringify(row) + "\n");
}
// Pull out plausible code-symbol names from a summary string.
// Matches:
// - identifier with backticks: `foo_bar`
// - identifier followed by parens: foo_bar()
// - CamelCase types
// - snake_case_functions
// Filters out common English words that could be matched accidentally.
const STOPWORDS = new Set([
"not","the","and","for","this","that","with","but","are","was","has",
"have","been","any","missing","implementation","diff","defined","never",
"referenced","integrated","flow","code","file","some","only","when",
]);
function extractSymbols(text: string): string[] {
const out = new Set<string>();
// `backticked` symbols
for (const m of text.matchAll(/`([A-Za-z_][A-Za-z0-9_]{2,})`/g)) out.add(m[1]);
// foo() or foo_bar() calls
for (const m of text.matchAll(/\b([A-Za-z_][A-Za-z0-9_]{2,})\s*\(/g)) out.add(m[1]);
// CamelCase types (3+ chars, must start with uppercase)
for (const m of text.matchAll(/\b([A-Z][A-Za-z0-9]{2,})\b/g)) out.add(m[1]);
return Array.from(out).filter(s => !STOPWORDS.has(s.toLowerCase()));
}
// Scan the repo for at least one definition of each symbol. Uses Bun's
// Glob to walk TS/Rust/Python/JS sources; ignores node_modules, data/,
// and target/. Skips files > 500KB — those are fixtures/snapshots that
// won't contain a definition line and slurping them slows the audit.
async function symbolsExistInRepo(symbols: string[]): Promise<string[]> {
const patterns = ["**/*.ts", "**/*.tsx", "**/*.rs", "**/*.py", "**/*.js"];
const skip = (p: string) => p.includes("/node_modules/") || p.startsWith("data/") || p.includes("/target/") || p.startsWith("dist/");
const MAX_FILE_BYTES = 500_000;
const { stat } = await import("node:fs/promises");
const resolved = new Set<string>();
const toFind = new Set(symbols);
for (const pat of patterns) {
if (toFind.size === 0) break;
const glob = new Glob(pat);
for await (const f of glob.scan({ cwd: REPO_ROOT, onlyFiles: true })) {
if (skip(f)) continue;
try { const s = await stat(`${REPO_ROOT}/${f}`); if (s.size > MAX_FILE_BYTES) continue; } catch { continue; }
let content: string;
try { content = await readFile(`${REPO_ROOT}/${f}`, "utf8"); } catch { continue; }
for (const sym of Array.from(toFind)) {
// Definition heuristics: `function sym`, `fn sym`, `const sym`,
// `let sym`, `def sym`, `class sym`, `struct sym`, `enum sym`,
// `trait sym`, `async function sym`, `pub (async )?fn sym`.
const re = new RegExp(
`\\b(function|async\\s+function|const|let|var|def|class|struct|enum|trait|impl|type|interface|fn|pub\\s+(async\\s+)?fn)\\s+${escapeRe(sym)}\\b`
);
if (re.test(content)) {
resolved.add(sym);
toFind.delete(sym);
if (toFind.size === 0) break;
}
}
}
}
return Array.from(resolved);
}
function escapeRe(s: string): string {
return s.replace(/[.*+?^${}()|[\]\\]/g, "\\$&");
}
// Lift the first balanced JSON object out of the response. Tolerates
// leading prose, code fences, and model reasoning preamble when the
// cloud model ignored "strict JSON only."
+1 -215
View File
@@ -8,7 +8,6 @@
// What this check reads (all file-backed, append-only or periodic):
// data/_kb/outcomes.jsonl — per-scenario outcomes (kb.ts)
// data/_kb/error_corrections.jsonl — fail→succeed deltas on same sig
// data/_kb/scrum_reviews.jsonl — scrum-master accepted reviews
// data/_observer/ops.jsonl — observer ring → disk stream
// data/_bot/cycles/*.json — bot cycle results
//
@@ -18,18 +17,14 @@
import { readFile, readdir, stat } from "node:fs/promises";
import { join } from "node:path";
import type { Claim, Finding } from "../types.ts";
import { aggregate, ratingSeverity, formatAgg } from "../kb_index.ts";
const KB_DIR = "/home/profit/lakehouse/data/_kb";
const OBSERVER_OPS = "/home/profit/lakehouse/data/_observer/ops.jsonl";
const BOT_CYCLES_DIR = "/home/profit/lakehouse/data/_bot/cycles";
const SCRUM_REVIEWS_JSONL = "/home/profit/lakehouse/data/_kb/scrum_reviews.jsonl";
const AUDIT_LESSONS_JSONL = "/home/profit/lakehouse/data/_kb/audit_lessons.jsonl";
const AUDIT_FACTS_JSONL = "/home/profit/lakehouse/data/_kb/audit_facts.jsonl";
const TAIL_LINES = 500;
const MAX_BOT_CYCLE_FILES = 30;
export async function runKbCheck(claims: Claim[], prFiles: string[] = []): Promise<Finding[]> {
export async function runKbCheck(claims: Claim[]): Promise<Finding[]> {
const findings: Finding[] = [];
// 1. Recent scenario outcomes: are strong-claim-style phrases showing
@@ -53,35 +48,6 @@ export async function runKbCheck(claims: Claim[], prFiles: string[] = []): Promi
const obsFindings = await checkObserverStream();
findings.push(...obsFindings);
// 5. Scrum-master reviews — surface prior accepted reviews for any
// file in this PR's diff. Cohesion plan Phase C wire: the
// auditor gets to "borrow" the scrum-master's deeper per-file
// analysis instead of re-doing that work.
if (prFiles.length > 0) {
const scrumFindings = await checkScrumReviews(prFiles);
findings.push(...scrumFindings);
}
// 6b. Audit-facts (llm_team extract pipeline output) — surface
// entities that recur across multiple PRs. These are the
// "core system entities" accumulating in the knowledge base;
// showing them as info on future audits gives reviewers
// architectural context the raw diff doesn't convey.
const factFindings = await checkAuditFacts();
findings.push(...factFindings);
// 6. Audit-lessons feedback loop — summarize the top recurring
// patterns from prior audits' block/warn findings. If the same
// pattern signature has fired 3+ times across prior audits,
// emit it as a block-severity finding so reviewers know this
// is a known-recurring class, not a one-off. Does NOT couple
// to the current audit's static/inference findings (those run
// in parallel and we can't see them here) — the amplification
// is emergent: if the current audit's finding-summary matches
// a top recurrence, the reviewer sees both.
const auditLessonFindings = await checkAuditLessons();
findings.push(...auditLessonFindings);
return findings;
}
@@ -215,183 +181,3 @@ function observerBySource(ops: any[]): string {
}
return Object.entries(c).sort((a, b) => b[1] - a[1]).map(([k, v]) => `${k}=${v}`).join(", ") || "empty";
}
// Audit-facts — reads data/_kb/audit_facts.jsonl (populated by every
// curated inference run via llm_team's extract pipeline). Each row
// has arrays: facts, entities, relationships. We explode entities and
// aggregate them across PRs using kb_index. An entity seen in 3+ PRs
// is a "core system entity" — we surface the top N as info context.
//
// Filters out short names (<3 chars, likely qwen2.5 truncation
// artifacts) and generic types ("string", "number") that would
// otherwise dominate the ranking.
const ENTITY_NAME_MIN_LEN = 3;
const GENERIC_ENTITY_NAMES = new Set([
"string", "number", "boolean", "any", "void", "unknown", "never",
"object", "array", "function", "const", "let", "var", "true", "false",
"null", "undefined", "promise", "map", "set", "record",
]);
async function checkAuditFacts(): Promise<Finding[]> {
// Read raw rows — each row has multiple entities, so we can't just
// use aggregate() directly (it's one-signature-per-row). Explode
// entities into (row, entity) pairs, then aggregate by entity name.
let raw: string;
try { raw = await (await import("node:fs/promises")).readFile(AUDIT_FACTS_JSONL, "utf8"); }
catch { return []; }
const lines = raw.split("\n").filter(l => l.length > 0);
if (lines.length === 0) return [];
interface EntityRow { entity_key: string; pr_number: number; type: string; name: string; description: string }
const entityRows: EntityRow[] = [];
for (const line of lines.slice(-TAIL_LINES * 2)) {
let row: any;
try { row = JSON.parse(line); } catch { continue; }
const prNum = Number(row?.pr_number);
if (!Number.isFinite(prNum)) continue;
for (const e of Array.isArray(row?.entities) ? row.entities : []) {
const name = String(e?.name ?? "").trim();
if (name.length < ENTITY_NAME_MIN_LEN) continue;
if (GENERIC_ENTITY_NAMES.has(name.toLowerCase())) continue;
entityRows.push({
entity_key: name.toLowerCase(),
pr_number: prNum,
type: String(e?.type ?? "?"),
name,
description: String(e?.description ?? "").slice(0, 160),
});
}
}
if (entityRows.length === 0) return [];
// Aggregate manually — one key per entity name, distinct_scopes by PR.
type Agg = { count: number; scopes: Set<number>; types: Set<string>; last_name: string; last_desc: string };
const byEntity = new Map<string, Agg>();
for (const r of entityRows) {
const a = byEntity.get(r.entity_key) ?? {
count: 0, scopes: new Set<number>(), types: new Set<string>(), last_name: "", last_desc: "",
};
a.count += 1;
a.scopes.add(r.pr_number);
a.types.add(r.type);
a.last_name = r.name;
a.last_desc = r.description;
byEntity.set(r.entity_key, a);
}
// Rank: require 2+ distinct PRs (same-PR entity-repeats don't count
// as "cross-cutting"). Take the top 5 to avoid flooding the verdict.
const ranked = Array.from(byEntity.entries())
.filter(([_, a]) => a.scopes.size >= 2)
.sort((a, b) => b[1].scopes.size - a[1].scopes.size || b[1].count - a[1].count)
.slice(0, 5);
if (ranked.length === 0) {
// Useful to know the KB is being populated — emit a single
// summary so operators see fact extraction is alive.
return [{
check: "kb_query",
severity: "info",
summary: `audit_facts KB has ${entityRows.length} entity-observations across ${new Set(entityRows.map(r => r.pr_number)).size} PRs (no cross-PR recurrences yet)`,
evidence: [`source: ${AUDIT_FACTS_JSONL}`],
}];
}
return ranked.map(([_, a]) => ({
check: "kb_query" as const,
severity: "info" as const,
summary: `core entity \`${a.last_name}\` recurs in ${a.scopes.size} PRs (types: ${Array.from(a.types).join(",")})`,
evidence: [
`count=${a.count} distinct_PRs=${a.scopes.size}`,
`description: ${a.last_desc.slice(0, 200)}`,
`PRs: ${Array.from(a.scopes).sort((x, y) => x - y).join(",")}`,
],
}));
}
// Audit-lessons — reads data/_kb/audit_lessons.jsonl (populated by
// every audit's appendAuditLessons). Uses the shared kb_index
// aggregator: groups by `signature`, distinct-scopes keyed by PR
// number, severity from ratingSeverity(agg) which applies the
// confidence × count rating (see kb_index.ts). This is the same
// aggregation any other KB reader uses — shared discipline, not
// per-check custom logic.
async function checkAuditLessons(): Promise<Finding[]> {
const bySig = await aggregate<any>(AUDIT_LESSONS_JSONL, {
keyFn: (r) => r?.signature,
scopeFn: (r) => (r?.pr_number !== undefined ? `pr-${r.pr_number}` : undefined),
checkFn: (r) => r?.check,
tailLimit: TAIL_LINES * 4,
});
if (bySig.size === 0) return [];
const findings: Finding[] = [];
for (const [sig, agg] of bySig) {
// Silent on first-ever occurrence — not yet signal.
if (agg.count < 2) continue;
const sev = ratingSeverity(agg);
findings.push({
check: "kb_query",
severity: sev,
summary: `recurring audit pattern (${agg.distinct_scopes} distinct PRs, ${agg.count} flaggings, conf=${agg.confidence.toFixed(2)}): ${agg.representative_summary.slice(0, 160)}`,
evidence: [
`signature=${sig}`,
`checks: ${agg.checks.join(",")}`,
`scopes: ${agg.scopes.slice(-6).join(",")}`,
formatAgg(agg),
],
});
}
return findings;
}
// Scrum-master reviews — the scrum pipeline writes one row per
// accepted per-file review. We match reviews whose `file` matches
// any path in the PR's diff, then surface the *preview* + which
// model the escalation ladder had to reach. If the scrum-master
// needed the 123B specialist or larger to resolve a file, that's
// a meaningful signal about the code's complexity — and it's
// surfaced to the PR without the auditor having to re-run the
// escalation ladder itself.
async function checkScrumReviews(prFiles: string[]): Promise<Finding[]> {
const rows = await tailJsonl<any>(SCRUM_REVIEWS_JSONL, TAIL_LINES);
if (rows.length === 0) return [];
// Match by exact file OR filename suffix — PR files arrive as
// `auditor/audit.ts`-style relative paths; scrum stores the same.
const norm = (p: string) => p.replace(/^\/+/, "").replace(/^home\/profit\/lakehouse\//, "");
const prSet = new Set(prFiles.map(norm));
// Keep only the most recent review per file (last-wins).
const latestByFile = new Map<string, any>();
for (const r of rows) {
const f = norm(String(r.file ?? ""));
if (!f) continue;
if (!prSet.has(f)) continue;
latestByFile.set(f, r);
}
if (latestByFile.size === 0) return [];
const findings: Finding[] = [];
for (const [file, r] of latestByFile) {
const model = String(r.accepted_model ?? "?");
const attempt = r.accepted_on_attempt ?? "?";
const treeSplit = !!r.tree_split_fired;
// Heuristic: if the scrum-master had to escalate past attempt 3,
// or had to tree-split, that's context the PR reviewer should see.
// Severity: info for low-escalation, warn if escalated far up
// the ladder (cloud specialist required).
const heavyEscalation = Number(attempt) >= 4;
const sev: "warn" | "info" = heavyEscalation ? "warn" : "info";
findings.push({
check: "kb_query",
severity: sev,
summary: `scrum-master review for \`${file}\` — accepted on attempt ${attempt} by \`${model}\`${treeSplit ? " (tree-split)" : ""}`,
evidence: [
`reviewed_at: ${r.reviewed_at ?? "?"}`,
`preview: ${String(r.suggestions_preview ?? "").slice(0, 300).replace(/\n/g, " ")}`,
],
});
}
return findings;
}
-465
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@@ -1,465 +0,0 @@
// Kimi-architect check — second-pass senior architectural review using
// kimi-for-coding (Kimi K2.6) via /v1/chat provider=kimi.
//
// Runs AFTER the deepseek inference check (N=3 consensus) and the
// static/kb_query checks. Reads their findings as context and asks Kimi
// "what did everyone else miss?" — complementing the cheap-consensus
// voting with a sparse senior pass that catches load-bearing issues
// (compile errors, false telemetry, schema bypasses, etc.) which the
// voting structure can't see.
//
// Why Kimi here and not in the inner inference loop:
// - Cost: ~3min wall-clock per call vs ~30s for deepseek consensus.
// - TOS: api.kimi.com is User-Agent-gated (see crates/gateway/src/v1/
// kimi.rs); cost-bounded calls only.
// - Value: experiment 2026-04-27 showed 7/7 grounding rate with full
// files vs ~50% on truncated input. Best as a sparse complement, not
// a replacement.
//
// Failure-isolated: any Kimi error returns a single info-level Finding
// "kimi_architect skipped — <reason>" so the existing audit pipeline
// is never blocked by a Kimi outage / TOS revocation / 429.
//
// Cost cap: if a kimi_verdicts/<pr>-<sha>.json file exists less than 24h
// old, return cached findings without calling upstream. New commits
// produce new SHAs so this is per-head, not per-day.
//
// Off by default: caller checks LH_AUDITOR_KIMI=1 before invoking.
import { readFile, writeFile, mkdir, appendFile, stat, realpath } from "node:fs/promises";
import { existsSync, realpathSync } from "node:fs";
import { dirname, join, resolve } from "node:path";
import type { Finding, CheckKind } from "../types.ts";
const GATEWAY = process.env.LH_GATEWAY_URL ?? "http://localhost:3100";
const KIMI_VERDICTS_DIR = "/home/profit/lakehouse/data/_auditor/kimi_verdicts";
const KIMI_AUDITS_JSONL = "/home/profit/lakehouse/data/_kb/kimi_audits.jsonl";
const REPO_ROOT = "/home/profit/lakehouse";
// Canonicalize at module load — REPO_ROOT itself may be a symlink in
// some environments (e.g. /home/profit is a bind-mount). Computing
// once at startup means the per-finding grounding loop can compare
// realpath(target) against this stable anchor.
const REPO_ROOT_REAL = (() => {
try { return realpathSync(REPO_ROOT); }
catch { return REPO_ROOT; }
})();
// 15 min budget. Bun's fetch has an intrinsic ~300s limit that our
// AbortController + setTimeout combo could not override; we use curl
// via Bun.spawn instead (callKimi below). Curl honors -m for max
// transfer time without a hard intrinsic ceiling.
const CALL_TIMEOUT_MS = 900_000;
const CACHE_TTL_MS = 24 * 60 * 60 * 1000;
const MAX_DIFF_CHARS = 180_000;
const MAX_PRIOR_FINDINGS = 50;
// Default provider/model = openrouter/moonshotai/kimi-k2.6.
// History: pre-2026-04-27 direct api.kimi.com (User-Agent gating),
// then ollama_cloud/kimi-k2.6 while the sub was active. 2026-09-02:
// Ollama Cloud subscription lapsed (402 on every cloud model), J's
// call was to sweep the auditor to OpenRouter — same Moonshot model,
// probed live through the gateway. The api.kimi.com path
// (provider=kimi) remains wired in the gateway as a fallback.
const KIMI_PROVIDER = process.env.LH_AUDITOR_KIMI_PROVIDER ?? "openrouter";
const KIMI_MODEL = process.env.LH_AUDITOR_KIMI_MODEL ?? "moonshotai/kimi-k2.6";
// Cross-lineage alternation. 2026-04-27 J's call: Opus is too
// expensive to auto-fire (~$0.30/audit). Kimi K2.6 via Go-sub is
// effectively free; Haiku 4.5 via Zen is ~$0.04. Alternate between
// them so we get cross-lineage signal (Moonshot vs Anthropic) on
// every PR's audit history without burning the budget.
//
// Default: Kimi K2.6 on even audits, Haiku 4.5 on odd. Each PR's
// audits flip between vendors as new SHAs come in.
//
// Frontier models (Opus 4.7, GPT-5.5, Gemini 3.1) are NOT in the
// auto path. Operator hands distilled findings to a frontier model
// manually when high-leverage decisions need it. Removing Opus from
// auto-promotion saves ~$1-3/day on the daemon at our cadence.
//
// Override the alternation entirely with LH_AUDITOR_KIMI_MODEL
// (forces one model regardless of audit count); set
// LH_AUDITOR_KIMI_ALT_MODEL to the alternate.
// 2026-09-02: opencode lane 401s (CreditsError, balance drained) — alt
// lane joins the OpenRouter sweep. Same Anthropic lineage, probed live.
const ALT_MODEL = process.env.LH_AUDITOR_KIMI_ALT_MODEL ?? "anthropic/claude-haiku-4.5";
const ALT_PROVIDER = process.env.LH_AUDITOR_KIMI_ALT_PROVIDER ?? "openrouter";
const FORCE_DEFAULT = process.env.LH_AUDITOR_KIMI_MODEL !== undefined && process.env.LH_AUDITOR_KIMI_MODEL !== "";
function selectModel(diffLen: number, auditIndex: number = 0): { provider: string; model: string; promoted: boolean } {
// Operator override — env-pinned model wins.
if (FORCE_DEFAULT) {
return { provider: KIMI_PROVIDER, model: KIMI_MODEL, promoted: false };
}
// Alternate Kimi (default, even index) ↔ Haiku (alt, odd index).
// diffLen kept in the signature for future "big diff → Haiku
// anyway" logic; not used yet so we don't auto-burn on big PRs.
void diffLen;
if (auditIndex % 2 === 1) {
return { provider: ALT_PROVIDER, model: ALT_MODEL, promoted: true };
}
return { provider: KIMI_PROVIDER, model: KIMI_MODEL, promoted: false };
}
// Model-aware max_tokens. Different upstream APIs cap at different
// limits and reject requests that exceed them:
// - Anthropic Opus 4.x: 32K output (with extended-output header)
// - Anthropic Haiku 4.5: 8K output
// - Kimi K2.6 (reasoning): 128K — needs headroom because
// reasoning_content counts against the budget
// - Default: 16K, conservative middle ground
//
// 2026-04-27 BLOCK from Opus self-audit: the prior single-default of
// 128K worked silently (Anthropic clamps server-side) but was
// technically invalid. Per-model caps make it explicit. Override via
// LH_AUDITOR_KIMI_MAX_TOKENS to force a value (also fixes the empty-
// env Number("") -> 0 trap by using `||` not `??`).
const MAX_TOKENS_OVERRIDE = Number(process.env.LH_AUDITOR_KIMI_MAX_TOKENS) || 0;
function maxTokensFor(model: string): number {
if (MAX_TOKENS_OVERRIDE > 0) return MAX_TOKENS_OVERRIDE;
if (model.startsWith("claude-opus")) return 32_000;
if (model.startsWith("claude-haiku") || model.startsWith("claude-sonnet") || model.includes("/claude-haiku") || model.includes("/claude-sonnet")) return 8_192;
if (model.startsWith("kimi-") || model.includes("/kimi-")) return 128_000;
if (model.startsWith("gpt-5") || model.startsWith("o1") || model.startsWith("o3") || model.startsWith("o4")) return 32_000;
return 16_000;
}
export interface KimiArchitectContext {
pr_number: number;
head_sha: string;
}
interface KimiVerdictFile {
pr_number: number;
head_sha: string;
cached_at: string;
model: string;
latency_ms: number;
finish_reason: string;
usage: { prompt_tokens: number; completion_tokens: number; total_tokens: number };
raw_content: string;
findings: Finding[];
grounding: { total: number; verified: number; rate: number };
}
export async function runKimiArchitectCheck(
diff: string,
priorFindings: Finding[],
ctx: KimiArchitectContext,
): Promise<Finding[]> {
const cachePath = join(KIMI_VERDICTS_DIR, `${ctx.pr_number}-${ctx.head_sha.slice(0, 12)}.json`);
const outageSentinel = `${cachePath}.outage`;
const OUTAGE_TTL_MS = 10 * 60 * 1000;
// Outage negative-cache — if upstream failed within OUTAGE_TTL_MS,
// skip this audit and return immediately. Prevents the daemon from
// hammering a downed Kimi/Anthropic upstream every 90s.
if (existsSync(outageSentinel)) {
try {
const s = await stat(outageSentinel);
if (Date.now() - s.mtimeMs < OUTAGE_TTL_MS) {
const note = JSON.parse(await readFile(outageSentinel, "utf8"));
return [skipFinding(`upstream still down (cached ${Math.round((Date.now() - s.mtimeMs) / 1000)}s ago): ${String(note.reason).slice(0, 160)}`)];
}
} catch { /* malformed sentinel — fall through to fresh call */ }
}
// Cost cap — return cached findings if a verdict for this exact head
// SHA was generated within the TTL.
const cached = await loadCachedVerdict(cachePath);
if (cached) {
return cached.findings.length > 0
? cached.findings
: [{ check: "kimi_architect" as CheckKind, severity: "info", summary: "kimi_architect cached — 0 findings", evidence: [`cache: ${cachePath}`] }];
}
// Alternate model based on how many audits this PR has had — gives
// cross-lineage signal (Kimi/Moonshot ↔ Haiku/Anthropic) on every
// PR's audit history. Count is derived from existing kimi_verdicts
// files for this PR; cheap O(N_PRs) directory read.
let auditIndex = 0;
try {
const dir = "/home/profit/lakehouse/data/_auditor/kimi_verdicts";
if (existsSync(dir)) {
const all = require("node:fs").readdirSync(dir) as string[];
auditIndex = all.filter((f) => f.startsWith(`${ctx.pr_number}-`)).length;
}
} catch { /* default 0 — Kimi */ }
const selected = selectModel(diff.length, auditIndex);
let response: { content: string; usage: any; finish_reason: string; latency_ms: number };
try {
response = await callKimi(buildPrompt(diff, priorFindings, ctx), selected.provider, selected.model);
} catch (e) {
// Negative-cache for 10 min on outage (caught 2026-04-27 by Opus
// self-audit): without this, every audit cycle within the 24h
// TTL re-calls upstream while it's still down. Use a sentinel
// file with mtime check rather than persisting a verdict so the
// happy-path cache reader doesn't have to special-case it.
const sentinel = `${cachePath}.outage`;
try { await writeFile(sentinel, JSON.stringify({ at: new Date().toISOString(), reason: (e as Error).message.slice(0, 200) })); } catch {}
return [skipFinding(`kimi call failed (${selected.model}): ${(e as Error).message.slice(0, 200)}`)];
}
const findings = parseFindings(response.content);
const grounding = await computeGrounding(findings);
const verdict: KimiVerdictFile = {
pr_number: ctx.pr_number,
head_sha: ctx.head_sha,
cached_at: new Date().toISOString(),
model: selected.model,
latency_ms: response.latency_ms,
finish_reason: response.finish_reason,
usage: {
prompt_tokens: response.usage?.prompt_tokens ?? 0,
completion_tokens: response.usage?.completion_tokens ?? 0,
total_tokens: response.usage?.total_tokens ?? 0,
},
raw_content: response.content,
findings,
grounding,
};
// Cache-poisoning guard (caught 2026-04-27 by Opus self-audit):
// when parseFindings returns 0 findings (Kimi rambled, prompt too
// big, or the markdown shape changed and our regex missed every
// block), persisting the empty verdict short-circuits all future
// audits in the 24h TTL window with a useless cached "0 findings"
// result. Better to leave no cache and re-call upstream next time.
// Always append metrics — observability shouldn't depend on whether
// findings parsed.
await appendMetrics(verdict);
if (findings.length > 0) {
await persistVerdict(cachePath, verdict);
return findings;
}
return [{
check: "kimi_architect" as CheckKind,
severity: "info",
summary: `kimi_architect produced 0 ranked findings (${response.finish_reason}, ${verdict.usage.completion_tokens} tokens) — not cached`,
evidence: [`raw saved (no cache): see kimi_audits.jsonl ${verdict.cached_at}`],
}];
}
async function loadCachedVerdict(path: string): Promise<KimiVerdictFile | null> {
if (!existsSync(path)) return null;
try {
const s = await stat(path);
if (Date.now() - s.mtimeMs > CACHE_TTL_MS) return null;
return JSON.parse(await readFile(path, "utf8")) as KimiVerdictFile;
} catch { return null; }
}
function buildPrompt(diff: string, priorFindings: Finding[], ctx: KimiArchitectContext): string {
const truncatedDiff = diff.length > MAX_DIFF_CHARS
? diff.slice(0, MAX_DIFF_CHARS) + `\n\n... [truncated; original diff was ${diff.length} chars]`
: diff;
const priorBlock = priorFindings
.filter(f => f.severity !== "info")
.slice(0, MAX_PRIOR_FINDINGS)
.map(f => `- [${f.check}/${f.severity}] ${f.summary}${f.evidence?.[0] ? ` — ${f.evidence[0].slice(0, 160)}` : ""}`)
.join("\n");
return `You are a senior software architect doing a second-pass review on PR #${ctx.pr_number} (head ${ctx.head_sha.slice(0, 12)}). The team's automated auditor (deepseek-v3.1:671b, N=3 consensus) already produced findings. Your job is NOT to repeat what they found — your job is to catch what their voting structure CAN'T see: compile errors, type-system bypasses, false telemetry, silent determinism leaks, schema-bypass anti-patterns, load-bearing assumptions that look fine line-by-line.
GROUNDING RULES (non-negotiable):
- Cite file:line for EVERY finding. Lines you cite must actually contain what you claim. Confabulating a finding wastes more time than missing one.
- If the diff is truncated and you can't verify a claim, say "diff-truncated, can't verify" — DO NOT guess.
- Distinguish architectural concerns (no specific line) from concrete bugs (specific line). Don't dress one as the other.
PRIOR FINDINGS FROM DEEPSEEK CONSENSUS (do not repeat these):
${priorBlock || "(none)"}
OUTPUT FORMAT (markdown):
- ## Verdict (one sentence)
- ## Findings (5-10 items, each formatted EXACTLY as below)
For each finding use this exact shape so a parser can lift them:
### F1: <one-line summary>
- **Severity:** block | warn | info
- **File:** path/to/file.ext:LINE
- **Rationale:** one or two sentences
THE DIFF:
${truncatedDiff}
`;
}
async function callKimi(prompt: string, provider: string, model: string): Promise<{ content: string; usage: any; finish_reason: string; latency_ms: number }> {
const t0 = Date.now();
const body = JSON.stringify({
provider,
model,
messages: [{ role: "user", content: prompt }],
max_tokens: maxTokensFor(model),
temperature: 0.2,
});
// curl via Bun.spawn — bypasses Bun fetch's ~300s intrinsic ceiling.
// -m sets the max transfer time honored end-to-end. Body is piped via
// stdin to avoid argv length limits on big audit prompts (~50K+ tokens).
const proc = Bun.spawn({
cmd: [
"curl", "-sS", "-X", "POST",
"-m", String(Math.ceil(CALL_TIMEOUT_MS / 1000)),
"-H", "content-type: application/json",
"--data-binary", "@-",
`${GATEWAY}/v1/chat`,
],
stdin: "pipe",
stdout: "pipe",
stderr: "pipe",
});
proc.stdin.write(body);
await proc.stdin.end();
const [stdout, stderr, exitCode] = await Promise.all([
new Response(proc.stdout).text(),
new Response(proc.stderr).text(),
proc.exited,
]);
if (exitCode !== 0) {
throw new Error(`curl exit ${exitCode}: ${stderr.slice(0, 300)}`);
}
let j: any;
try { j = JSON.parse(stdout); }
catch (e) {
throw new Error(`bad response (${stdout.length} bytes): ${stdout.slice(0, 300)}`);
}
if (j.error || !j.choices) {
throw new Error(`gateway error: ${JSON.stringify(j).slice(0, 300)}`);
}
return {
content: j.choices?.[0]?.message?.content ?? "",
usage: j.usage ?? {},
finish_reason: j.choices?.[0]?.finish_reason ?? "unknown",
latency_ms: Date.now() - t0,
};
}
// Parse Kimi's markdown into Finding[]. Format expected (per buildPrompt):
// ### F<N>: <summary>
// - **Severity:** block | warn | info
// - **File:** path:line
// - **Rationale:** ...
function parseFindings(content: string): Finding[] {
const findings: Finding[] = [];
const blocks = content.split(/^###\s+F\d+:\s*/m).slice(1);
for (const block of blocks) {
const summary = (block.split("\n")[0] ?? "").trim();
if (!summary) continue;
const sev = /\*\*Severity:\*\*\s*(block|warn|info)/i.exec(block)?.[1]?.toLowerCase();
const fileLine = /\*\*File:\*\*\s*(\S+)/i.exec(block)?.[1] ?? "unknown";
const rationale = /\*\*Rationale:\*\*\s*([\s\S]+?)(?=\n###|\n\*\*|$)/i.exec(block)?.[1]?.trim() ?? "";
const severity: Finding["severity"] = sev === "block" ? "block" : sev === "warn" ? "warn" : "info";
findings.push({
check: "kimi_architect" as CheckKind,
severity,
summary: summary.slice(0, 240),
evidence: [fileLine, rationale.slice(0, 360)].filter(Boolean),
});
}
return findings;
}
// For each finding's cited file:line, grep the actual file to verify
// the line exists. Returns total + verified counts; per-finding metadata
// is appended into the evidence array so the reader can see which
// citations were verified.
async function computeGrounding(findings: Finding[]): Promise<{ total: number; verified: number; rate: number }> {
// readFile (async) instead of readFileSync — caught 2026-04-27 by
// Kimi's self-audit. Sync I/O in an async fn blocks the event loop
// for every cited file; doesn't matter at 10 findings, would matter
// at 100+.
const checks = await Promise.all(findings.map(async (f) => {
const cite = f.evidence[0] ?? "";
const m = /^(\S+?):(\d+)/.exec(cite);
if (!m) return false;
const [, relpath, lineStr] = m;
const line = Number(lineStr);
if (!line || !relpath) return false;
// Path-traversal guard, two-layer (caught 2026-04-27 by Kimi
// self-audits on dd77632 then 2d9cb12).
//
// Layer 1 (lexical): resolve() normalizes `..` segments. Refuse
// any path that doesn't anchor under REPO_ROOT.
//
// Layer 2 (symlink): even if the lexical path is anchored, it
// could be a symlink whose target escapes. realpath() resolves
// symlinks; compare the real path against REPO_ROOT_REAL.
//
// Both layers exist because attackers might bypass either alone:
// raw `../etc/passwd` triggers layer 1; a planted symlink at
// ./safe-looking-name → /etc/passwd triggers layer 2.
const abs = resolve(REPO_ROOT, relpath);
if (!abs.startsWith(REPO_ROOT + "/") && abs !== REPO_ROOT) {
f.evidence.push(`[grounding: path escapes repo root, refusing]`);
return false;
}
if (!existsSync(abs)) {
f.evidence.push("[grounding: file not found]");
return false;
}
try {
// Symlink-resolution check before any read. realpath() throws
// if the file doesn't exist; existsSync above shields the
// common case but a TOCTOU race could still error here — the
// outer catch handles it.
const realPath = await realpath(abs);
if (!realPath.startsWith(REPO_ROOT_REAL + "/") && realPath !== REPO_ROOT_REAL) {
f.evidence.push(`[grounding: symlink target escapes repo root, refusing]`);
return false;
}
const lines = (await readFile(realPath, "utf8")).split("\n");
if (line < 1 || line > lines.length) {
f.evidence.push(`[grounding: line ${line} > EOF (${lines.length})]`);
return false;
}
f.evidence.push(`[grounding: verified at ${relpath}:${line}]`);
return true;
} catch (e) {
f.evidence.push(`[grounding: read failed: ${(e as Error).message.slice(0, 80)}]`);
return false;
}
}));
const verified = checks.filter(Boolean).length;
const total = findings.length;
return { total, verified, rate: total === 0 ? 0 : verified / total };
}
async function persistVerdict(path: string, v: KimiVerdictFile): Promise<void> {
await mkdir(KIMI_VERDICTS_DIR, { recursive: true });
await writeFile(path, JSON.stringify(v, null, 2));
}
async function appendMetrics(v: KimiVerdictFile): Promise<void> {
// dirname() instead of join(path, "..") — caught 2026-04-27 by both
// Haiku and Opus self-audits. The "/.." idiom resolves correctly
// via Node path normalization but is non-idiomatic + breaks if the
// path ever has trailing dots.
await mkdir(dirname(KIMI_AUDITS_JSONL), { recursive: true });
await appendFile(KIMI_AUDITS_JSONL, JSON.stringify({
pr_number: v.pr_number,
head_sha: v.head_sha,
audited_at: v.cached_at,
model: v.model,
latency_ms: v.latency_ms,
finish_reason: v.finish_reason,
prompt_tokens: v.usage.prompt_tokens,
completion_tokens: v.usage.completion_tokens,
findings_total: v.findings.length,
findings_block: v.findings.filter(f => f.severity === "block").length,
findings_warn: v.findings.filter(f => f.severity === "warn").length,
grounding_verified: v.grounding.verified,
grounding_rate: Number(v.grounding.rate.toFixed(3)),
}) + "\n");
}
function skipFinding(why: string): Finding {
return {
check: "kimi_architect" as CheckKind,
severity: "info",
summary: `kimi_architect skipped — ${why}`,
evidence: [why],
};
}
+15 -167
View File
@@ -54,54 +54,14 @@ export function runStaticCheck(diff: string): Finding[] {
const isAuditorCheckerFile = path.startsWith("auditor/checks/") ||
path.startsWith("auditor/fixtures/");
// Track multi-line backtick-template state across the file. Walks
// all post-merge lines (context + added, skipping removed lines)
// in order and keeps `inMultilineBacktick` flipping on each
// unescaped backtick. Pre-2026-04-26 the per-line walk in
// isInsideQuotedString missed `todo!()` matches inside docstring
// template literals because the opening backtick lived on a
// line above the match. Now we OR the file-level state into the
// per-line check.
let inMultilineBacktick = false;
for (let idx = 0; idx < lines.length; idx++) {
const line = lines[idx];
// Diff bookkeeping lines and removed lines don't contribute to
// the post-merge file's string state.
if (line.startsWith("+++") || line.startsWith("---") ||
line.startsWith("@@") || line.startsWith("\\ No newline")) continue;
if (line.startsWith("-")) continue;
const isAdded = line.startsWith("+");
// Strip the diff prefix (' ' for context, '+' for added).
const body = (isAdded || line.startsWith(" ")) ? line.slice(1) : line;
// Compute the file-level backtick state ENTERING this line.
// The state machine sees pattern matches against the right
// context: a line that opens a backtick block has its own
// pattern checks evaluated under "inside-backtick" semantics
// for the portion AFTER the opening tick. Pre-2026-04-27 the
// state was updated AFTER the pattern checks, so the FIRST
// pattern on a backtick-opening line slipped through with
// stale "outside-backtick" semantics. Caught by Kimi self-audit.
const stateAtLineStart = inMultilineBacktick;
const stateAtLineEnd = updateBacktickState(body, stateAtLineStart);
if (isAdded) {
const added = body;
if (!line.startsWith("+") || line.startsWith("+++")) continue;
const added = line.slice(1);
if (!isAuditorCheckerFile) {
for (const { re, why } of BLOCK_PATTERNS) {
const m = added.match(re);
if (m && typeof m.index === "number") {
// Skip if EITHER (a) the file was already inside a
// multi-line backtick block when this line started, OR
// (b) the match sits inside a quoted string literal on
// THIS line. The earlier code only checked stateAtLineStart;
// now we also check that the match isn't past the
// opening backtick of a block that opens on this line.
if (stateAtLineStart || isInsideQuotedString(added, m.index)) continue;
if (re.test(added)) {
findings.push({
check: "static",
severity: "block",
@@ -133,30 +93,16 @@ export function runStaticCheck(diff: string): Finding[] {
}
}
// Carry the end-of-line state forward to the next iteration.
inMultilineBacktick = stateAtLineEnd;
}
// "Field added but never read" heuristic — catches exactly the
// Phase 45 DocRef placeholder pattern. Limited to the diff itself:
// we're not doing a full-codebase grep here (too noisy; callers
// elsewhere might exist). The point is: if NEITHER this diff nor
// any other line in the diff reads the field, the PR is shipping
// state without a consumer.
//
// Serde exemption: if the field's parent struct derives Serialize
// or Deserialize, the read-site is the macro itself — JSON
// round-trips consume every public field. Without this exemption
// the check produces false positives on every response/request
// struct shipped through `/v1/*`.
const addedLines = lines.filter(l => l.startsWith("+") && !l.startsWith("+++"))
.map(l => l.slice(1));
const newFields = extractNewFieldsWithLine(lines);
const seenNames = new Set<string>();
for (const { name: field, lineIdx } of newFields) {
if (seenNames.has(field)) continue;
seenNames.add(field);
if (parentStructHasSerdeDerive(lines, lineIdx)) continue;
const newFields = extractNewFields(addedLines);
for (const field of newFields) {
const readPattern = new RegExp(`[\\.:]\\s*${escape(field)}\\b|\\b${escape(field)}\\s*:`);
// The definition line itself matches readPattern — filter it out
// by requiring at least TWO lines in the diff mention the field
@@ -194,116 +140,18 @@ function splitDiffByFile(diff: string): Map<string, string[]> {
return out;
}
// Extract new `pub name: Type,` fields from the per-file diff lines,
// keeping each occurrence's line index so the caller can resolve the
// parent struct. Same narrow rules as before: starts with `pub `,
// excludes `pub fn` / `pub struct` / etc.
function extractNewFieldsWithLine(lines: string[]): Array<{ name: string; lineIdx: number }> {
const out: Array<{ name: string; lineIdx: number }> = [];
for (let i = 0; i < lines.length; i++) {
const line = lines[i];
if (!line.startsWith("+") || line.startsWith("+++")) continue;
const t = line.slice(1).trim();
// Extract new `pub name: Type,` fields from added lines. Rust syntax.
// Narrowly-scoped: only matches at the start of a trimmed line,
// requires `pub ` prefix, ignores `pub fn` / `pub struct` / etc.
function extractNewFields(addedLines: string[]): string[] {
const fields = new Set<string>();
for (const line of addedLines) {
const t = line.trim();
// pub NAME: Type,
const m = t.match(/^pub\s+(?!fn\b|struct\b|enum\b|mod\b|use\b|trait\b|impl\b|const\b|static\b|type\b)(\w+)\s*:/);
if (m) out.push({ name: m[1], lineIdx: i });
if (m) fields.add(m[1]);
}
return out;
}
// True if the field at `fieldLineIdx` lives inside a struct whose
// declaration carries `#[derive(... Serialize|Deserialize ...)]`. We
// walk backward through the diff (added + context lines both count —
// a struct declaration unchanged by the PR still appears as context)
// to find the nearest `pub struct` boundary, then scan a few lines
// above it for derive attributes. Conservative bounds:
// - 80 lines back to find `struct` (struct definitions can grow large)
// - 8 lines above the `struct` keyword for attribute lines
// Stops the struct-search early if we hit a `}` at zero indent
// (the previous scope) or another `pub struct` (we left ours).
function parentStructHasSerdeDerive(lines: string[], fieldLineIdx: number): boolean {
// Bounds-check fieldLineIdx (caught 2026-04-27 by Kimi self-audit).
// Pre-fix: if fieldLineIdx >= lines.length, the loop ran from a
// negative implicit upper bound (fieldLineIdx - 80 could be > 0
// even when fieldLineIdx is past EOF) and read undefined slots.
// Defensive: bail early on out-of-range input.
if (fieldLineIdx < 0 || fieldLineIdx >= lines.length) return false;
let structLineIdx = -1;
for (let i = fieldLineIdx - 1; i >= 0 && i >= fieldLineIdx - 80; i--) {
const raw = lines[i];
if (typeof raw !== "string" || raw.length === 0) continue;
const body = stripDiffPrefix(raw);
const trimmed = body.trim();
if (/^pub\s+struct\s+\w/.test(trimmed)) {
structLineIdx = i;
break;
}
// Closing brace at column 0 means the enclosing scope ended above
// the field — we're not actually inside a struct.
if (body.startsWith("}")) return false;
}
if (structLineIdx < 0) return false;
for (let j = structLineIdx - 1; j >= 0 && j >= structLineIdx - 8; j--) {
const raw = lines[j];
if (typeof raw !== "string") continue;
const trimmed = stripDiffPrefix(raw).trim();
if (trimmed === "" || trimmed.startsWith("//") || trimmed.startsWith("///")) continue;
if (!trimmed.startsWith("#[")) break;
if (/derive\s*\([^)]*\b(Serialize|Deserialize)\b/.test(trimmed)) return true;
}
return false;
}
// Strip leading +/-/space from a unified-diff line, leaving the raw
// source line. Handles the case where the line is shorter than 1 char
// (rare but real for empty-context lines).
function stripDiffPrefix(line: string): string {
if (line.length === 0) return line;
const c = line[0];
if (c === "+" || c === "-" || c === " ") return line.slice(1);
return line;
}
// Walk a single line and toggle the cross-line backtick state on each
// unescaped backtick. Single-quote and double-quote runs are line-
// bounded in JS/TS/Rust by language rules (string literals don't span
// newlines without explicit `\` continuation), so we only track
// backticks across lines. Returns the new state for the next line.
function updateBacktickState(line: string, inBacktick: boolean): boolean {
let state = inBacktick;
let inDouble = false;
let inSingle = false;
for (let i = 0; i < line.length; i++) {
const c = line[i];
const esc = i > 0 && line[i - 1] === "\\";
if (esc) continue;
// Inside a multi-line backtick template, single/double quotes
// don't open new strings — they're literal characters of the
// template. Same applies the other way around.
if (c === '"' && !inSingle && !state) inDouble = !inDouble;
else if (c === "'" && !inDouble && !state) inSingle = !inSingle;
else if (c === "`" && !inDouble && !inSingle) state = !state;
}
return state;
}
// True if `pos` falls inside a double- or single-quoted string on this
// line (backtick template literals too). Walks left→right toggling the
// "in quote" state on each unescaped quote. Per-line only — the file-
// level walk in runStaticCheck handles multi-line backtick templates
// via updateBacktickState.
function isInsideQuotedString(line: string, pos: number): boolean {
let inDouble = false, inSingle = false, inBacktick = false;
for (let i = 0; i < pos; i++) {
const c = line[i];
const esc = i > 0 && line[i - 1] === "\\";
if (esc) continue;
if (c === '"' && !inSingle && !inBacktick) inDouble = !inDouble;
else if (c === "'" && !inDouble && !inBacktick) inSingle = !inSingle;
else if (c === "`" && !inDouble && !inSingle) inBacktick = !inBacktick;
}
return inDouble || inSingle || inBacktick;
return Array.from(fields);
}
function escape(s: string): string {
+7 -98
View File
@@ -49,58 +49,6 @@ const WEAK_PATTERNS: RegExp[] = [
/\bprobably\b/i,
];
// Empirical claims: runtime measurements / observed outcomes that can't
// be verified from a diff (only from the actual run that produced
// them). Classifying as empirical lets the inference check skip
// diff-verification and saves the ladder for falsifiable claims.
//
// Two classes share this bucket because they share the skip discipline:
//
// 1. Runtime metrics — "58 cloud calls", "306s end-to-end"
// 2. History/proof refs — "verified on PR #8", "was flipping across runs"
//
// Both are assertions about state outside the current diff. The cloud
// would flag them as "not backed" — but that's a false positive: the
// proof lives in the referenced run, prior commit, or test output, not
// in the added lines the cloud is reading.
const EMPIRICAL_PATTERNS: RegExp[] = [
// ─── Runtime metrics ───
// Iteration / attempt counts: "6/6 iterations", "attempt 5", "accepted on attempt 3"
/\b\d+\s*\/\s*\d+\s+(iterations?|attempts?|cycles?|runs?|shards?)\b/i,
/\b(accepted|resolved|converged)\s+on\s+attempt\s+\d+\b/i,
// Runtime metrics: "58 cloud calls", "306s end-to-end", "245s total", "5931 chars"
/\b\d+\s+(cloud\s+)?calls?\b/i,
/\b\d+\s*(ms|s|seconds?|minutes?|m)\s+(end[- ]to[- ]end|total|elapsed|duration)\b/i,
/\b\d+\s+chars?\b.*\b(accepted|generated|produced)\b/i,
// "escalated through N tiers", "N distinct models"
/\bescalated\s+through\s+\d+\b/i,
/\b\d+\s+distinct\s+(model|tier)s?\b/i,
// ─── History / proof references ───
// "verified on PR #8", "verified end-to-end on PR 8", "tested against PR #4"
// Require PR#N / commit-hash / "prior <word>" to avoid matching
// "verified ... in production" (PR without \b-ish anchor previously
// consumed "pr" of "production").
/\bverified\s+(?:end[- ]to[- ]end\s+)?(?:on|against|in)\s+(?:PR\s*#?\d+|commit\s+[0-9a-f]{6,}|prior\s+\w+|the\s+\w+\s+audit)\b/i,
/\btested\s+(?:against|in|on)\s+(?:PR\s*#?\d+|commit\s+[0-9a-f]{6,}|prior\s+\w+)\b/i,
// Direct PR/commit references: "PR #8", "on PR 9", "from commit abc123"
/\b(?:on|from|in|via|per)\s+PR\s*#?\d+\b/i,
/\b(?:from|in|per|against)\s+commit\s+[0-9a-f]{6,}/i,
// Observational descriptions of prior behavior: "was flipping", "was X before", "previously observed"
/\b(?:was|were)\s+(?:flipping|drifting|inconsistent|non[- ]deterministic|creeping)\b/i,
/\bpreviously\s+(?:observed|flagged|reported|seen|landed)\b/i,
/\bused\s+to\s+(?:flip|fail|flag|reject|block)\b/i,
/\bobserved\s+(?:in|during|on|across)\s+(?:PR|prior|\d+\s+(?:runs?|audits?))/i,
// "flipping/drifting across N runs" — historical variance description
/\b(?:flipping|drifting|varying|oscillating)\s+across\s+(?:\d+\s+)?(?:runs?|audits?|iterations?)\b/i,
// "the proven X" referring to prior work (proven is a STRONG pattern
// but in context "the proven FOO" is usually a historical reference,
// not a fresh claim). We catch it here so the empirical skip wins.
/\bthe\s+proven\s+(?:escalation\s+ladder|pipeline|flow|loop|tier|path)/i,
// "from the 9-run test", "across the 5-run validation"
/\b(?:from|across|in|during)\s+the\s+\d+[- ]run\s+(?:test|validation|probe|experiment)/i,
];
export interface ParsedClaims {
claims: Claim[];
commits_scanned: number;
@@ -129,22 +77,9 @@ function scanText(text: string, location_prefix: string, commit_sha: string, out
const line = lines[i];
if (line.length < 3) continue;
// Empirical match wins over everything else — if a line ALSO
// contains a moderate word like "complete", we still want to
// classify it as empirical so the inference check doesn't ask
// the cloud to prove "58 cloud calls" from the diff. Order:
// empirical → strong → moderate → weak.
const empirical = firstUnquotedMatch(line, EMPIRICAL_PATTERNS);
if (empirical) {
out.push({
text: line.trim().slice(0, 200),
commit_sha,
location: `${location_prefix}:${i + 1}`,
strength: "empirical",
});
continue;
}
const strong = firstUnquotedMatch(line, STRONG_PATTERNS);
// Strong patterns first — if a line matches strong, it's strong,
// don't double-count as moderate.
const strong = firstMatch(line, STRONG_PATTERNS);
if (strong) {
out.push({
text: line.trim().slice(0, 200),
@@ -154,7 +89,7 @@ function scanText(text: string, location_prefix: string, commit_sha: string, out
});
continue;
}
const moderate = firstUnquotedMatch(line, MODERATE_PATTERNS);
const moderate = firstMatch(line, MODERATE_PATTERNS);
if (moderate) {
out.push({
text: line.trim().slice(0, 200),
@@ -164,7 +99,7 @@ function scanText(text: string, location_prefix: string, commit_sha: string, out
});
continue;
}
const weak = firstUnquotedMatch(line, WEAK_PATTERNS);
const weak = firstMatch(line, WEAK_PATTERNS);
if (weak) {
out.push({
text: line.trim().slice(0, 200),
@@ -176,35 +111,9 @@ function scanText(text: string, location_prefix: string, commit_sha: string, out
}
}
// Match a pattern only when its match position is NOT inside a quoted
// string on the line. Mirrors the same guard in auditor/checks/static.ts
// — the two files have the same false-positive class: PR authors
// quote pattern examples in commit message bodies (e.g. `"Phase 45
// shipped"` as a test example) and without this guard those quoted
// references get flagged as fresh ship-claims. Only skips when the
// match itself falls inside quotes; real (unquoted) uses of the same
// vocabulary still classify correctly.
function firstUnquotedMatch(text: string, patterns: RegExp[]): RegExp | null {
function firstMatch(text: string, patterns: RegExp[]): RegExp | null {
for (const p of patterns) {
const m = text.match(p);
if (!m || typeof m.index !== "number") continue;
if (isInsideQuotedString(text, m.index)) continue;
return p;
if (p.test(text)) return p;
}
return null;
}
// Walks left→right toggling in-quote state on each unescaped quote.
// Good enough for single-line claims; multi-line strings aren't parsed.
function isInsideQuotedString(line: string, pos: number): boolean {
let inDouble = false, inSingle = false, inBacktick = false;
for (let i = 0; i < pos; i++) {
const c = line[i];
const esc = i > 0 && line[i - 1] === "\\";
if (esc) continue;
if (c === '"' && !inSingle && !inBacktick) inDouble = !inDouble;
else if (c === "'" && !inDouble && !inBacktick) inSingle = !inSingle;
else if (c === "`" && !inDouble && !inSingle) inBacktick = !inBacktick;
}
return inDouble || inSingle || inBacktick;
}
-271
View File
@@ -1,271 +0,0 @@
// fact_extractor — routes curated TEXT through llm_team_ui's
// "knowledge extract facts" mode (mode=extract at /api/run).
//
// What it gives us: structured {facts, entities, relationships} from
// whatever curated blob we send. Auditor sends the tree-split
// inference scratchpad (the best distillation of what a PR changed).
// Scrum_master will later send its accepted review bodies.
//
// Why route through llm_team and not just extract directly from our
// own checks: llm_team's extract uses a local EXTRACTOR model
// (qwen2.5) + a separate VERIFIER (gemma2). This cross-check is the
// discipline J wants for knowledge going into the playbook — facts
// go in only after a second model has rated them CORRECT /
// UNVERIFIABLE. Fast (local models, ~10-20s), free, and matches the
// codereview pattern J already trusts.
//
// SSE parsing: llm_team streams SSE events. We're only interested in
// the final "response" event with role="final" + the extraction
// response (role="extraction N"). Parse the JSON from the extractor's
// response text.
const LLM_TEAM = process.env.LH_LLM_TEAM_URL ?? "http://localhost:5000";
const EXTRACTOR = process.env.LH_FACT_EXTRACTOR ?? "qwen2.5:latest";
const VERIFIER = process.env.LH_FACT_VERIFIER ?? "gemma2:latest";
const EXTRACT_TIMEOUT_MS = 120_000;
const PROJECT_CONTEXT_FILE = process.env.LH_AUDITOR_CONTEXT_FILE
?? "/home/profit/lakehouse/docs/AUDITOR_CONTEXT.md";
let cachedContext: string | null = null;
async function loadProjectContext(): Promise<string> {
if (cachedContext !== null) return cachedContext;
try {
const { readFile } = await import("node:fs/promises");
const raw = await readFile(PROJECT_CONTEXT_FILE, "utf8");
// Cap at 4KB — anything past that is more noise than signal for
// the extractor/verifier's attention budget.
cachedContext = raw.slice(0, 4000);
} catch {
cachedContext = ""; // context file missing → extractor runs without preamble
}
return cachedContext;
}
export interface Entity {
name: string;
type: string;
description?: string;
}
export interface Relationship {
from: string;
to: string;
type: string;
}
export interface ExtractedFacts {
facts: string[];
entities: Entity[];
relationships: Relationship[];
verification: string;
extractor_model: string;
verifier_model: string;
source_preview: string;
// Populated when the extract run completed server-side (llm_team
// persists to its own team_runs; this is for our own cross-ref).
llm_team_run_id?: number;
extracted_at: string;
// Per-fact verdicts from the verifier pass (CORRECT/INCORRECT/
// UNVERIFIABLE/UNCHECKED). Aligned 1:1 with the *raw* fact list
// pre-drop so operators can see which verdicts mapped to dropped
// facts if needed.
verifier_verdicts?: Array<"CORRECT" | "INCORRECT" | "UNVERIFIABLE" | "UNCHECKED">;
facts_dropped_by_verifier?: number;
error?: string;
}
/**
* Run the llm_team extract pipeline on `source` text. Returns
* structured {facts, entities, relationships}.
*
* Returns an object with `error` set if the pipeline failed — never
* throws, because fact extraction is best-effort enrichment (the
* primary audit must not break if llm_team is down).
*/
export async function extractFacts(source: string): Promise<ExtractedFacts> {
const base: ExtractedFacts = {
facts: [],
entities: [],
relationships: [],
verification: "",
extractor_model: EXTRACTOR,
verifier_model: VERIFIER,
source_preview: source.slice(0, 240),
extracted_at: new Date().toISOString(),
};
// Prepend project context to the source so the extractor + verifier
// know what codebase/framework these facts belong to. Without this,
// the verifier marks most domain-specific facts as UNVERIFIABLE ("I
// don't know what Lakehouse is"). With it, the verifier can CORRECT-
// stamp facts that align with the stated architecture.
const context = await loadProjectContext();
const prompt = context.length > 0
? `=== PROJECT CONTEXT (for grounding facts; do NOT extract facts from this section) ===\n${context}\n\n=== CONTENT TO EXTRACT FACTS FROM ===\n${source}`
: source;
let resp: Response;
try {
resp = await fetch(`${LLM_TEAM}/api/run`, {
method: "POST",
headers: { "content-type": "application/json" },
body: JSON.stringify({
mode: "extract",
prompt,
extractor: EXTRACTOR,
verifier: VERIFIER,
source: "prompt",
skip_cache: true, // cache by prompt would dedup identical
// scratchpads, but we want fresh extraction
// for per-audit facts; cheap since local.
}),
signal: AbortSignal.timeout(EXTRACT_TIMEOUT_MS),
});
} catch (e) {
return { ...base, error: `fetch failed: ${(e as Error).message}` };
}
if (!resp.ok) {
const body = await resp.text().catch(() => "");
return { ...base, error: `llm_team /api/run ${resp.status}: ${body.slice(0, 200)}` };
}
// Stream SSE lines; collect the one extraction response + the run_saved event
// so we can capture the team-runs ID for cross-ref.
const decoder = new TextDecoder();
const reader = resp.body?.getReader();
if (!reader) return { ...base, error: "no response body" };
let buffer = "";
let extractionText = "";
let verifierText = "";
let runId: number | undefined = undefined;
try {
while (true) {
const { done, value } = await reader.read();
if (done) break;
buffer += decoder.decode(value, { stream: true });
let nl: number;
while ((nl = buffer.indexOf("\n\n")) >= 0) {
const chunk = buffer.slice(0, nl);
buffer = buffer.slice(nl + 2);
const dataLine = chunk.split("\n").find(l => l.startsWith("data: "));
if (!dataLine) continue;
try {
const ev = JSON.parse(dataLine.slice(6));
if (ev.type === "response") {
const role = String(ev.role ?? "");
if (role.startsWith("extraction")) extractionText = String(ev.text ?? "");
else if (role === "verifier") verifierText = String(ev.text ?? "");
} else if (ev.type === "run_saved") {
const id = Number(ev.run_id);
if (Number.isFinite(id)) runId = id;
}
} catch { /* skip malformed SSE */ }
}
}
} catch (e) {
return { ...base, error: `SSE read failed: ${(e as Error).message}` };
}
// Pull the JSON object out of extractionText (may be wrapped in ```json fences).
const parsed = extractFirstJsonObject(extractionText);
if (!parsed) {
return { ...base, error: "extractor returned no parseable JSON", verification: verifierText };
}
const rawFacts: string[] = Array.isArray(parsed.facts)
? parsed.facts.slice(0, 50).map(String)
: [];
// Parse the verifier's free-form prose into per-fact verdicts, then
// drop any fact the verifier explicitly marked INCORRECT. Leave
// UNVERIFIABLE in place: many of our extractions are domain-specific
// (Lakehouse internals) and the verifier has no prior-knowledge
// anchor, so UNVERIFIABLE is the expected verdict for new signal,
// not a quality fail. This is verifier-gated persistence: drop only
// what's affirmatively wrong, not what's novel.
const verdicts = parseVerifierVerdicts(verifierText, rawFacts.length);
const incorrectIdx = new Set<number>();
verdicts.forEach((v, i) => { if (v === "INCORRECT") incorrectIdx.add(i); });
const kept = rawFacts.filter((_, i) => !incorrectIdx.has(i));
return {
...base,
facts: kept,
entities: Array.isArray(parsed.entities)
? parsed.entities.slice(0, 30).map((e: any) => ({
name: String(e?.name ?? ""),
type: String(e?.type ?? ""),
description: typeof e?.description === "string" ? e.description.slice(0, 240) : undefined,
})).filter(e => e.name.length > 0)
: [],
relationships: Array.isArray(parsed.relationships)
? parsed.relationships.slice(0, 30).map((r: any) => ({
from: String(r?.from ?? ""),
to: String(r?.to ?? ""),
type: String(r?.type ?? ""),
})).filter(r => r.from.length > 0 && r.to.length > 0)
: [],
verification: verifierText.slice(0, 1500),
facts_dropped_by_verifier: incorrectIdx.size,
verifier_verdicts: verdicts,
llm_team_run_id: runId,
};
}
// Parse verifier's free-form output into a per-fact verdict array.
// Gemma2 uses several formats depending on prompt mood:
// Format A: **1.** claim... * **Verdict:** CORRECT
// Format B: **1.** claim... * **CORRECT** (no "Verdict:" label)
// Format C: 1. claim... CORRECT
// Strategy: split on fact numbers, then find the first
// CORRECT|INCORRECT|UNVERIFIABLE token in each section. Handles all
// three formats without regex gymnastics.
function parseVerifierVerdicts(
verifierText: string,
numFacts: number,
): Array<"CORRECT" | "INCORRECT" | "UNVERIFIABLE" | "UNCHECKED"> {
const out: Array<"CORRECT" | "INCORRECT" | "UNVERIFIABLE" | "UNCHECKED"> =
Array(numFacts).fill("UNCHECKED");
if (!verifierText) return out;
// Find each fact section start — "**N.**" or "N." at line start —
// and slice out the content up to the NEXT fact number. Each section
// gets scanned for the first CORRECT/INCORRECT/UNVERIFIABLE token.
const starts: Array<{ idx: number; pos: number }> = [];
const header = /(?:^|\n)\s*(?:\*\*)?(\d+)[.)]/g;
for (const m of verifierText.matchAll(header)) {
const factNum = Number(m[1]);
if (!Number.isFinite(factNum)) continue;
starts.push({ idx: factNum - 1, pos: m.index! });
}
for (let i = 0; i < starts.length; i++) {
const s = starts[i];
const end = i + 1 < starts.length ? starts[i + 1].pos : verifierText.length;
if (s.idx < 0 || s.idx >= numFacts) continue;
const section = verifierText.slice(s.pos, end);
const v = section.match(/\b(CORRECT|INCORRECT|UNVERIFIABLE)\b/i);
if (v) out[s.idx] = v[1].toUpperCase() as "CORRECT" | "INCORRECT" | "UNVERIFIABLE";
}
return out;
}
// Lift the first balanced JSON object out of (possibly fenced) text.
// Same discipline as inference.ts::extractJson.
function extractFirstJsonObject(text: string): any | null {
const cleaned = text.replace(/^```(?:json)?\s*/im, "").replace(/```\s*$/im, "");
let depth = 0, start = -1;
for (let i = 0; i < cleaned.length; i++) {
const c = cleaned[i];
if (c === "{") { if (depth === 0) start = i; depth++; }
else if (c === "}") {
depth--;
if (depth === 0 && start >= 0) {
try { return JSON.parse(cleaned.slice(start, i + 1)); } catch { start = -1; }
}
}
}
return null;
}
+10 -24
View File
@@ -9,42 +9,28 @@
import { readFile } from "node:fs/promises";
import type { PrSnapshot } from "./types.ts";
// 2026-09-02: repo home moved to git.warren.help in the VPS
// consolidation; git.agentview.dev now dead-ends at a Traefik default
// cert + 404 (auditor had been failing listOpenPrs every cycle since
// Aug 25). Credentials come from ~/.git-credentials for HOST's domain,
// falling back to the user:pass embedded in this repo's origin remote.
// Basic auth works for both a PAT and a password on Gitea.
const HOST = process.env.GITEA_HOST ?? "https://git.warren.help";
const HOST = process.env.GITEA_HOST ?? "https://git.agentview.dev";
const OWNER = "profit";
const REPO = "lakehouse";
const CRED_FILE = "/home/profit/.git-credentials";
const GIT_CONFIG = "/home/profit/lakehouse/.git/config";
let cachedAuth: string | null = null;
let cachedPat: string | null = null;
async function getAuthHeader(): Promise<string> {
if (cachedAuth) return cachedAuth;
const hostDomain = new URL(HOST).host.replace(/\./g, "\\.");
const credRe = new RegExp(`^https://([^:]+):([^@]+)@${hostDomain}`);
for (const file of [CRED_FILE, GIT_CONFIG]) {
let raw: string;
try { raw = await readFile(file, "utf8"); } catch { continue; }
async function getPat(): Promise<string> {
if (cachedPat) return cachedPat;
const raw = await readFile(CRED_FILE, "utf8");
for (const line of raw.split("\n")) {
const m = line.trim().replace(/^url = /, "").match(credRe);
if (m) {
cachedAuth = `Basic ${Buffer.from(`${decodeURIComponent(m[1])}:${decodeURIComponent(m[2])}`).toString("base64")}`;
return cachedAuth;
const m = line.match(/^https:\/\/[^:]+:([^@]+)@git\.agentview\.dev/);
if (m) { cachedPat = m[1]; return m[1]; }
}
}
}
throw new Error(`no Gitea credentials for ${HOST} in ${CRED_FILE} or ${GIT_CONFIG}`);
throw new Error(`no Gitea PAT in ${CRED_FILE}`);
}
async function giteaFetch(path: string, init: RequestInit = {}): Promise<Response> {
const pat = await getPat();
const url = `${HOST}/api/v1${path}`;
const headers = new Headers(init.headers);
headers.set("Authorization", await getAuthHeader());
headers.set("Authorization", `token ${pat}`);
if (init.body && !headers.has("content-type")) {
headers.set("content-type", "application/json");
}
+3 -63
View File
@@ -24,30 +24,14 @@ const POLL_INTERVAL_MS = 90_000; // 90s — enough budget for audit runs to comp
const PAUSE_FILE = "/home/profit/lakehouse/auditor.paused";
const STATE_FILE = "/home/profit/lakehouse/data/_auditor/state.json";
// Per-PR audit cap. Prevents the daemon from running away on a PR
// when each push surfaces new findings — operator wants to review
// in batch, not have the daemon burn budget while they're away.
// Default 3 audits per PR. Override via LH_AUDITOR_MAX_AUDITS_PER_PR.
// Set to 0 to disable the cap.
//
// Reset (after manual review): edit data/_auditor/state.json and
// set audit_count_per_pr.<N> = 0 (or delete the key). Daemon picks
// up the change on the next cycle without restart.
const MAX_AUDITS_PER_PR = Number(process.env.LH_AUDITOR_MAX_AUDITS_PER_PR) || 3;
interface State {
// Map: PR number → last-audited head SHA. Lets us dedupe audits
// across restarts (poller can crash/restart without re-auditing
// all open PRs from scratch).
last_audited: Record<string, string>;
// Map: PR number → number of audits run on that PR since last reset.
// Daemon halts auditing a PR once this hits MAX_AUDITS_PER_PR.
// Operator clears the entry to resume.
audit_count_per_pr: Record<string, number>;
started_at: string;
cycles_total: number;
cycles_skipped_paused: number;
cycles_skipped_capped: number;
audits_run: number;
last_cycle_at?: string;
}
@@ -63,21 +47,17 @@ async function loadState(): Promise<State> {
return {
last_audited: s.last_audited ?? {},
started_at: s.started_at ?? new Date().toISOString(),
audit_count_per_pr: s.audit_count_per_pr ?? {},
cycles_total: s.cycles_total ?? 0,
cycles_skipped_paused: s.cycles_skipped_paused ?? 0,
cycles_skipped_capped: s.cycles_skipped_capped ?? 0,
audits_run: s.audits_run ?? 0,
last_cycle_at: s.last_cycle_at,
};
} catch {
return {
last_audited: {},
audit_count_per_pr: {},
started_at: new Date().toISOString(),
cycles_total: 0,
cycles_skipped_paused: 0,
cycles_skipped_capped: 0,
audits_run: 0,
};
}
@@ -109,38 +89,12 @@ async function runCycle(state: State): Promise<State> {
console.log(`[auditor] cycle ${state.cycles_total}: ${prs.length} open PR(s)`);
for (const pr of prs) {
const prKey = String(pr.number);
const last = state.last_audited[prKey];
const last = state.last_audited[String(pr.number)];
if (last === pr.head_sha) {
console.log(`[auditor] skip PR #${pr.number} (SHA ${pr.head_sha.slice(0, 8)} already audited)`);
continue;
}
// Per-head-SHA audit cap. Each new push gets MAX_AUDITS_PER_PR
// fresh attempts; the counter auto-resets when the head SHA
// changes. Operator only intervenes manually if a single SHA
// somehow needs MORE than the cap (rare — usually transient
// upstream errors clear themselves inside 3 attempts).
//
// Reset rule: if `last` exists (we've seen this PR before) AND
// pr.head_sha != last, that's a new push. Drop the counter.
// The dedup branch above already handles same-SHA → skip, so
// we only land here when the SHA actually moved.
if (last !== undefined && (state.audit_count_per_pr[prKey] ?? 0) > 0) {
const prior_count = state.audit_count_per_pr[prKey];
console.log(`[auditor] PR #${pr.number} new head ${pr.head_sha.slice(0, 8)} (prior ${last.slice(0, 8)}, was ${prior_count}/${MAX_AUDITS_PER_PR}) — resetting cap counter`);
state.audit_count_per_pr[prKey] = 0;
}
const auditedSoFar = state.audit_count_per_pr[prKey] ?? 0;
if (MAX_AUDITS_PER_PR > 0 && auditedSoFar >= MAX_AUDITS_PER_PR) {
// This branch only fires now if the SAME head SHA somehow
// burned MAX audits (transient upstream errors retried that
// many times). Operator can clear state.audit_count_per_pr.<N>
// = 0 to force one more attempt; otherwise wait for next push.
console.log(`[auditor] skip PR #${pr.number} (same head ${pr.head_sha.slice(0, 8)} burned ${auditedSoFar}/${MAX_AUDITS_PER_PR} — push new code or clear state.json audit_count_per_pr.${prKey})`);
state.cycles_skipped_capped += 1;
continue;
}
console.log(`[auditor] audit PR #${pr.number} (${pr.head_sha.slice(0, 8)}) — ${pr.title.slice(0, 60)} [${auditedSoFar + 1}/${MAX_AUDITS_PER_PR}]`);
console.log(`[auditor] audit PR #${pr.number} (${pr.head_sha.slice(0, 8)}) — ${pr.title.slice(0, 60)}`);
try {
// Skip dynamic by default: it mutates live playbook state and
// re-runs on every PR update would pollute quickly. Operator
@@ -152,22 +106,8 @@ async function runCycle(state: State): Promise<State> {
skip_inference: process.env.LH_AUDITOR_SKIP_INFERENCE === "1",
});
console.log(`[auditor] verdict=${verdict.overall} findings=${verdict.metrics.findings_total} (block=${verdict.metrics.findings_block} warn=${verdict.metrics.findings_warn})`);
state.last_audited[prKey] = pr.head_sha;
state.audit_count_per_pr[prKey] = auditedSoFar + 1;
state.last_audited[String(pr.number)] = pr.head_sha;
state.audits_run += 1;
if (state.audit_count_per_pr[prKey] >= MAX_AUDITS_PER_PR) {
console.log(`[auditor] PR #${pr.number} reached cap (${MAX_AUDITS_PER_PR} audits) — daemon will skip further audits until reset`);
}
// Persist state immediately after each successful audit so the
// increment survives a crash. Pre-2026-04-27 the cycle saved
// once at the end (main.ts:140), which lost the count if the
// daemon was killed mid-cycle. Fix lifted from kimi_architect's
// own audit on this very file. saveState is idempotent + cheap
// (one JSON write), so per-audit cost is negligible.
try { await saveState(state); }
catch (e) {
console.error(`[auditor] saveState mid-cycle failed: ${(e as Error).message} — count held in memory`);
}
} catch (e) {
console.error(`[auditor] audit failed: ${(e as Error).message}`);
}
-161
View File
@@ -1,161 +0,0 @@
// kb_index — generic on-the-fly aggregation over append-only JSONL
// scratchpads (audit_lessons, scrum_reviews, outcomes, observer ops).
//
// The mem0 insight: raw rows are CHEAP and tell the full story, but
// downstream prompts need a DEFINITION, not a log. A definition is
// the aggregate: "this signature has fired N times across M distinct
// scopes, first_seen=X, last_seen=Y, confidence=M/N."
//
// This library is the single shared aggregator. Every KB writer keeps
// appending raw rows; every KB reader uses aggregate() instead of
// tailing the raw stream. No second file to sync, no ADD/UPDATE/NOOP
// routing — the stats roll up from the raw rows every time.
//
// Why this works past hundreds of runs:
// - aggregate() is bounded by distinct_signatures, not total_rows.
// - confidence = distinct_scopes / count — low for same-scope noise,
// high for cross-scope patterns. Downstream severity ramps on
// confidence × count, not raw count, so one unfixed PR can't
// inflate its own recurrence score (the classic mem0 failure).
// - rotation (later) moves old raw to archive files; aggregate()
// can still read both to compute lifetime counts when needed.
import { readFile } from "node:fs/promises";
export interface AggregateRow {
signature: string;
count: number;
distinct_scopes: number;
first_seen: string;
last_seen: string;
confidence: number; // distinct_scopes / count — capped at 1.0
representative_summary: string; // most-recent summary for this signature
scopes: string[]; // up to 20 most-recent scopes for debugging
checks: string[]; // distinct `check` values (audit_lessons-specific)
}
export interface AggregateOptions<T> {
/** How to extract the dedup key from a row. */
keyFn: (row: T) => string | undefined;
/** How to extract the "scope" — distinct scopes count gives confidence. */
scopeFn: (row: T) => string | undefined;
/** How to extract the timestamp (defaults to row.audited_at / row.reviewed_at / row.timestamp). */
timeFn?: (row: T) => string | undefined;
/** How to extract a representative summary (defaults to row.summary). */
summaryFn?: (row: T) => string | undefined;
/** Max rows to read from the JSONL tail; 0 = read all. */
tailLimit?: number;
/** Include per-row check field (for multi-check aggregates). */
checkFn?: (row: T) => string | undefined;
}
/**
* Read a JSONL file and produce the aggregate map keyed by signature.
* Safe on missing or malformed files — returns empty map.
*/
export async function aggregate<T = any>(
jsonlPath: string,
opts: AggregateOptions<T>,
): Promise<Map<string, AggregateRow>> {
const out = new Map<string, AggregateRow>();
let raw: string;
try { raw = await readFile(jsonlPath, "utf8"); } catch { return out; }
const lines = raw.split("\n").filter(l => l.length > 0);
const sliceFrom = opts.tailLimit && opts.tailLimit > 0 ? Math.max(0, lines.length - opts.tailLimit) : 0;
const timeFn = opts.timeFn ?? ((r: any) => r?.audited_at ?? r?.reviewed_at ?? r?.timestamp ?? r?.ran_at);
const summaryFn = opts.summaryFn ?? ((r: any) => r?.summary ?? r?.representative_summary);
// Per-signature scope tracking — need counts by scope to compute
// distinct_scopes without double-counting a scope that appears 50
// times. Using a Set<scope> per signature.
const scopeSets = new Map<string, Set<string>>();
const checkSets = new Map<string, Set<string>>();
for (let i = sliceFrom; i < lines.length; i++) {
let row: T;
try { row = JSON.parse(lines[i]) as T; } catch { continue; }
const sig = opts.keyFn(row);
if (!sig) continue;
let agg = out.get(sig);
if (!agg) {
agg = {
signature: sig,
count: 0,
distinct_scopes: 0,
first_seen: "",
last_seen: "",
confidence: 0,
representative_summary: "",
scopes: [],
checks: [],
};
out.set(sig, agg);
scopeSets.set(sig, new Set<string>());
checkSets.set(sig, new Set<string>());
}
agg.count += 1;
const scope = opts.scopeFn(row);
if (scope !== undefined && scope !== null && scope !== "") {
scopeSets.get(sig)!.add(String(scope));
// Keep scopes array ordered by recency (newest wins — shift
// oldest when at cap).
const arr = agg.scopes;
const s = String(scope);
const existing = arr.indexOf(s);
if (existing >= 0) arr.splice(existing, 1);
arr.push(s);
if (arr.length > 20) arr.shift();
}
if (opts.checkFn) {
const c = opts.checkFn(row);
if (c) checkSets.get(sig)!.add(String(c));
}
const t = timeFn(row);
if (t) {
if (!agg.first_seen || t < agg.first_seen) agg.first_seen = t;
if (!agg.last_seen || t > agg.last_seen) agg.last_seen = t;
}
const s = summaryFn(row);
if (s) agg.representative_summary = String(s);
}
// Finalize derived fields.
for (const [sig, agg] of out) {
const scopes = scopeSets.get(sig) ?? new Set<string>();
agg.distinct_scopes = scopes.size;
agg.confidence = agg.count > 0 ? Math.min(1, agg.distinct_scopes / agg.count) : 0;
const checks = checkSets.get(sig);
if (checks) agg.checks = Array.from(checks).sort();
}
return out;
}
/**
* Severity policy derived from aggregate stats. The rating lives here
* (not in each check) so all KB readers ramp severity consistently.
*
* - confidence × count product is the real signal.
* - Low confidence (< 0.3) = same-scope noise → info regardless of count.
* - Mid confidence (0.3-0.6) = mixed signal → warn at count ≥ 3.
* - High confidence (> 0.6) with count ≥ 5 = block-worthy cross-cutting pattern.
*
* Callers can override by reading agg directly; this is the default
* policy that matches the "don't escalate one unfixed PR" discipline.
*/
export function ratingSeverity(agg: AggregateRow): "info" | "warn" | "block" {
if (agg.confidence >= 0.6 && agg.count >= 5) return "block";
if (agg.confidence >= 0.3 && agg.count >= 3) return "warn";
return "info";
}
/** Human-friendly one-line summary of an aggregate row for finding evidence. */
export function formatAgg(agg: AggregateRow): string {
return `count=${agg.count} distinct_scopes=${agg.distinct_scopes} confidence=${agg.confidence.toFixed(2)} seen=[${agg.first_seen.slice(0, 10)}..${agg.last_seen.slice(0, 10)}]`;
}
-269
View File
@@ -1,269 +0,0 @@
// kb_stats — on-demand dashboard numbers from the KB scratchpad
// files. Reads data/_auditor/verdicts/*, data/_kb/audit_lessons.jsonl,
// data/_kb/audit_facts.jsonl, data/_kb/audit_discrepancies.jsonl,
// data/_kb/scrum_reviews.jsonl and prints:
//
// - verdict flip-flop rate (same SHA re-audited, verdict changed?)
// - consensus discrepancy rate (N runs disagreed on a claim)
// - confidence distribution from kb_index aggregator
// - top N recurring entities from audit_facts
// - fact growth over time
// - scrum vs inference KB split
//
// Run: bun run auditor/kb_stats.ts
// bun run auditor/kb_stats.ts --top 15 # show top 15 entities
// bun run auditor/kb_stats.ts --json # machine-readable
//
// This is the "dashboard" without running Grafana. If someone really
// wants a dashboard, wire this output into a static HTML page + cron.
import { readFile, readdir } from "node:fs/promises";
import { join } from "node:path";
import { aggregate } from "./kb_index.ts";
const REPO = "/home/profit/lakehouse";
const VERDICTS_DIR = `${REPO}/data/_auditor/verdicts`;
const AUDIT_LESSONS = `${REPO}/data/_kb/audit_lessons.jsonl`;
const AUDIT_FACTS = `${REPO}/data/_kb/audit_facts.jsonl`;
const AUDIT_DISCREPANCIES = `${REPO}/data/_kb/audit_discrepancies.jsonl`;
const SCRUM_REVIEWS = `${REPO}/data/_kb/scrum_reviews.jsonl`;
interface Args {
top: number;
json: boolean;
}
function parseArgs(argv: string[]): Args {
const a: Args = { top: 10, json: false };
for (let i = 2; i < argv.length; i++) {
if (argv[i] === "--top") a.top = Number(argv[++i] ?? 10);
else if (argv[i] === "--json") a.json = true;
}
return a;
}
async function readJsonl<T = any>(path: string): Promise<T[]> {
try {
const raw = await readFile(path, "utf8");
return raw.split("\n").filter(l => l.length > 0).map(l => {
try { return JSON.parse(l) as T; } catch { return null as any; }
}).filter(r => r !== null);
} catch { return []; }
}
async function loadVerdicts(): Promise<Array<{ pr: number; sha: string; overall: string; findings_total: number; findings_block: number; findings_warn: number }>> {
let files: string[] = [];
try { files = await readdir(VERDICTS_DIR); } catch { return []; }
const out = [];
for (const f of files) {
if (!f.endsWith(".json")) continue;
const m = f.match(/^(\d+)-([0-9a-f]+)\.json$/);
if (!m) continue;
try {
const v = JSON.parse(await readFile(join(VERDICTS_DIR, f), "utf8"));
out.push({
pr: Number(m[1]),
sha: m[2],
overall: String(v.overall),
findings_total: Number(v.metrics?.findings_total ?? 0),
findings_block: Number(v.metrics?.findings_block ?? 0),
findings_warn: Number(v.metrics?.findings_warn ?? 0),
});
} catch { /* skip corrupt */ }
}
return out;
}
interface Stats {
audit_count: number;
verdict_distribution: Record<string, number>;
// Same PR with multiple SHAs — if verdicts differ, that's drift across
// the PR's commit history. Not a flip-flop in the classical sense,
// but worth surfacing (e.g. "PR #8 was block block req req block").
per_pr_verdict_sequences: Record<number, string[]>;
// For each PR with ≥ 2 audits, how many distinct verdicts did it
// produce? 1 = stable; 2+ = some flipping.
verdict_instability: { pr_count: number; pr_with_multiple_verdicts: number; pr_with_3plus: number };
consensus: { discrepancy_count: number; tiebreaker_used: number; unresolved: number };
kb: {
audit_lessons_rows: number;
audit_facts_rows: number;
scrum_reviews_rows: number;
distinct_finding_signatures: number;
distinct_entities_across_prs: number;
entities_in_2plus_prs: number;
entities_in_5plus_prs: number;
};
fact_quality: {
verifier_verdict_distribution: Record<string, number>;
facts_dropped_by_verifier_total: number;
extraction_success_rate: number;
};
top_entities: Array<{ name: string; distinct_prs: number; count: number; types: string[] }>;
kb_by_source: Record<string, number>;
}
async function collect(args: Args): Promise<Stats> {
const verdicts = await loadVerdicts();
const lessons = await readJsonl<any>(AUDIT_LESSONS);
const facts = await readJsonl<any>(AUDIT_FACTS);
const disc = await readJsonl<any>(AUDIT_DISCREPANCIES);
const reviews = await readJsonl<any>(SCRUM_REVIEWS);
// Verdict stability
const byPr: Record<number, string[]> = {};
const verdictDist: Record<string, number> = {};
for (const v of verdicts) {
(byPr[v.pr] ??= []).push(v.overall);
verdictDist[v.overall] = (verdictDist[v.overall] ?? 0) + 1;
}
let multi = 0, tri = 0;
for (const [_, seq] of Object.entries(byPr)) {
const distinct = new Set(seq);
if (distinct.size >= 2) multi++;
if (distinct.size >= 3) tri++;
}
// Consensus drift
const consensus = {
discrepancy_count: disc.length,
tiebreaker_used: disc.filter(d => String(d.resolution).startsWith("tiebreaker")).length,
unresolved: disc.filter(d => d.resolution === "unresolved").length,
};
// Lesson signatures
const lessonAgg = await aggregate<any>(AUDIT_LESSONS, {
keyFn: r => r?.signature,
scopeFn: r => (r?.pr_number !== undefined ? `pr-${r.pr_number}` : undefined),
});
// Entity aggregation across audit_facts rows
interface EntAgg { distinct_prs: Set<number>; count: number; types: Set<string>; name: string; sources: Set<string> }
const entAgg = new Map<string, EntAgg>();
const sourceCount: Record<string, number> = {};
let totalVerdictDist: Record<string, number> = { CORRECT: 0, INCORRECT: 0, UNVERIFIABLE: 0, UNCHECKED: 0 };
let factsDroppedTotal = 0;
let extractionsWithFacts = 0;
for (const row of facts) {
const src = String(row.source ?? "unknown");
sourceCount[src] = (sourceCount[src] ?? 0) + 1;
const pr = Number(row.pr_number);
if (Array.isArray(row.verifier_verdicts)) {
for (const v of row.verifier_verdicts) {
totalVerdictDist[v] = (totalVerdictDist[v] ?? 0) + 1;
}
}
factsDroppedTotal += Number(row.facts_dropped_by_verifier ?? 0);
if ((Array.isArray(row.facts) && row.facts.length > 0) || (Array.isArray(row.entities) && row.entities.length > 0)) {
extractionsWithFacts++;
}
for (const e of Array.isArray(row.entities) ? row.entities : []) {
const name = String(e?.name ?? "").trim();
if (name.length < 3) continue;
const key = name.toLowerCase();
const agg = entAgg.get(key) ?? { distinct_prs: new Set(), count: 0, types: new Set(), name, sources: new Set() };
agg.count++;
if (Number.isFinite(pr) && pr > 0) agg.distinct_prs.add(pr);
if (e?.type) agg.types.add(String(e.type));
agg.sources.add(src);
entAgg.set(key, agg);
}
}
const entitiesIn2Plus = Array.from(entAgg.values()).filter(a => a.distinct_prs.size >= 2).length;
const entitiesIn5Plus = Array.from(entAgg.values()).filter(a => a.distinct_prs.size >= 5).length;
const topEntities = Array.from(entAgg.values())
.sort((a, b) => b.distinct_prs.size - a.distinct_prs.size || b.count - a.count)
.slice(0, args.top)
.map(a => ({
name: a.name,
distinct_prs: a.distinct_prs.size,
count: a.count,
types: Array.from(a.types),
}));
const stats: Stats = {
audit_count: verdicts.length,
verdict_distribution: verdictDist,
per_pr_verdict_sequences: byPr,
verdict_instability: {
pr_count: Object.keys(byPr).length,
pr_with_multiple_verdicts: multi,
pr_with_3plus: tri,
},
consensus,
kb: {
audit_lessons_rows: lessons.length,
audit_facts_rows: facts.length,
scrum_reviews_rows: reviews.length,
distinct_finding_signatures: lessonAgg.size,
distinct_entities_across_prs: entAgg.size,
entities_in_2plus_prs: entitiesIn2Plus,
entities_in_5plus_prs: entitiesIn5Plus,
},
fact_quality: {
verifier_verdict_distribution: totalVerdictDist,
facts_dropped_by_verifier_total: factsDroppedTotal,
extraction_success_rate: facts.length > 0 ? extractionsWithFacts / facts.length : 0,
},
top_entities: topEntities,
kb_by_source: sourceCount,
};
return stats;
}
function renderHuman(s: Stats): string {
const lines: string[] = [];
lines.push("═══ KB STATS ═══");
lines.push("");
lines.push(`Audits: ${s.audit_count} total across ${s.verdict_instability.pr_count} distinct PRs`);
lines.push(`Verdicts: ${Object.entries(s.verdict_distribution).map(([k, v]) => `${k}=${v}`).join(" ")}`);
const multiplePct = s.verdict_instability.pr_count > 0
? Math.round(100 * s.verdict_instability.pr_with_multiple_verdicts / s.verdict_instability.pr_count)
: 0;
lines.push(`Verdict instability: ${s.verdict_instability.pr_with_multiple_verdicts}/${s.verdict_instability.pr_count} PRs had 2+ distinct verdicts (${multiplePct}%) — 3+ distinct: ${s.verdict_instability.pr_with_3plus}`);
lines.push("");
lines.push("─── Consensus ───");
lines.push(` discrepancies logged: ${s.consensus.discrepancy_count}`);
lines.push(` tiebreaker used: ${s.consensus.tiebreaker_used}`);
lines.push(` unresolved: ${s.consensus.unresolved}`);
const dRate = s.audit_count > 0 ? (100 * s.consensus.discrepancy_count / s.audit_count).toFixed(1) : "0";
lines.push(` discrepancy rate: ${dRate}% of audits`);
lines.push("");
lines.push("─── KB size ───");
lines.push(` audit_lessons.jsonl: ${s.kb.audit_lessons_rows} rows, ${s.kb.distinct_finding_signatures} distinct signatures`);
lines.push(` audit_facts.jsonl: ${s.kb.audit_facts_rows} rows, ${s.kb.distinct_entities_across_prs} distinct entities`);
lines.push(` scrum_reviews.jsonl: ${s.kb.scrum_reviews_rows} rows`);
lines.push(` entities in 2+ PRs: ${s.kb.entities_in_2plus_prs}`);
lines.push(` entities in 5+ PRs: ${s.kb.entities_in_5plus_prs} ← strong cross-cutting signal`);
lines.push("");
lines.push("─── Fact quality ───");
const v = s.fact_quality.verifier_verdict_distribution;
lines.push(` verifier verdicts: CORRECT=${v.CORRECT ?? 0} UNVERIFIABLE=${v.UNVERIFIABLE ?? 0} UNCHECKED=${v.UNCHECKED ?? 0} INCORRECT=${v.INCORRECT ?? 0}`);
lines.push(` facts dropped by verifier: ${s.fact_quality.facts_dropped_by_verifier_total}`);
lines.push(` extraction success rate: ${(s.fact_quality.extraction_success_rate * 100).toFixed(1)}%`);
lines.push("");
lines.push("─── KB sources ───");
for (const [src, n] of Object.entries(s.kb_by_source)) {
lines.push(` ${src}: ${n}`);
}
lines.push("");
lines.push(`─── Top ${s.top_entities.length} recurring entities ───`);
for (const e of s.top_entities) {
lines.push(` [${e.distinct_prs} PRs × ${e.count} obs] ${e.name} (${e.types.join(",")})`);
}
return lines.join("\n");
}
async function main() {
const args = parseArgs(process.argv);
const stats = await collect(args);
if (args.json) {
console.log(JSON.stringify(stats, (_, v) => v instanceof Set ? Array.from(v) : v, 2));
} else {
console.log(renderHuman(stats));
}
}
main().catch(e => { console.error("[kb_stats] fatal:", e); process.exit(1); });
@@ -1,85 +0,0 @@
// drift_report.ts — comparison of a current run summary vs the
// previous run summary on disk. Spec calls this "drift detection";
// concretely it answers: did the pipeline behave the same way as
// last time, and if not, was the change explained by an input change
// or did it appear out of nowhere (silent drift)?
//
// Severity:
// ok — within 20% on every metric, no hash surprises
// warn — record-count or category swing > 20%, OR new error class
// alert — output_hash differs while input_hash is identical
// (deterministic violation — same input → different output)
import {
ValidationResult, requireString, requireIsoTimestamp,
} from "./types";
import type { StageName } from "./stage_receipt";
export const DRIFT_REPORT_SCHEMA_VERSION = 2;
export const DRIFT_THRESHOLD_PCT = 0.20;
export type DriftSeverity = "ok" | "warn" | "alert";
export interface StageDrift {
stage: StageName;
delta_records_in: number; // current - prior
delta_records_out: number;
delta_accepted: number;
delta_quarantined: number;
pct_change_out: number | null; // null when prior had 0 records
// null when input_hash isn't materialized into the stage summary —
// schema v1 lied and reported `true` here. v2 is honest: callers
// that want determinism enforcement must read the full StageReceipt
// off disk and compute input_hash equality there.
input_hash_match: boolean | null;
output_hash_match: boolean;
// alert if input_hash matches but output_hash diverges
deterministic_violation: boolean;
notes: string[];
}
export interface DriftReport {
schema_version: number;
run_id: string;
prior_run_id: string | null; // null when no prior run on disk
generated_at: string;
severity: DriftSeverity;
stages: StageDrift[];
// Top-level swings the human reader should see immediately.
flags: string[];
}
export function validateDriftReport(input: unknown): ValidationResult<DriftReport> {
const errors: string[] = [];
if (typeof input !== "object" || input === null) {
return { valid: false, errors: ["expected object"] };
}
const r = input as Record<string, unknown>;
let ok = true;
if (r.schema_version !== DRIFT_REPORT_SCHEMA_VERSION) {
errors.push(`schema_version: expected ${DRIFT_REPORT_SCHEMA_VERSION}, got ${JSON.stringify(r.schema_version)}`);
ok = false;
}
ok = requireString(r.run_id, "run_id", errors) && ok;
if (r.prior_run_id !== null && typeof r.prior_run_id !== "string") {
errors.push("prior_run_id: must be string or null");
ok = false;
}
ok = requireIsoTimestamp(r.generated_at, "generated_at", errors) && ok;
if (!["ok", "warn", "alert"].includes(r.severity as string)) {
errors.push(`severity: must be ok|warn|alert, got ${JSON.stringify(r.severity)}`);
ok = false;
}
if (!Array.isArray(r.stages)) {
errors.push("stages: expected array");
ok = false;
}
if (!Array.isArray(r.flags)) {
errors.push("flags: expected array");
ok = false;
}
if (!ok) return { valid: false, errors };
return { valid: true, value: r as unknown as DriftReport };
}
@@ -1,116 +0,0 @@
// EvidenceRecord schema tests.
//
// Two positive fixtures (one per real-source prototype: distilled_facts
// + contract_analyses) and three negative fixtures pinning the
// non-negotiable invariants the spec demands:
// - every record must trace to a source (provenance)
// - schema_version must match — silent v1/v2 drift is the worst kind
// - required identity fields (run_id) cannot be missing
//
// Run with: bun test auditor/schemas/distillation/evidence_record.test.ts
import { test, expect } from "bun:test";
import { readFileSync } from "node:fs";
import { resolve } from "node:path";
import { validateEvidenceRecord, EVIDENCE_SCHEMA_VERSION } from "./evidence_record";
const FIXTURE_DIR = resolve(import.meta.dir, "fixtures");
function loadFixture(name: string): unknown {
return JSON.parse(readFileSync(resolve(FIXTURE_DIR, name), "utf8"));
}
test("EVIDENCE_SCHEMA_VERSION is 1 — bump deliberately, never silently", () => {
expect(EVIDENCE_SCHEMA_VERSION).toBe(1);
});
test("positive: distilled_fact materialized record validates", () => {
const r = validateEvidenceRecord(loadFixture("evidence_positive_distilled_fact.json"));
if (!r.valid) console.error("unexpected errors:", r.errors);
expect(r.valid).toBe(true);
if (r.valid) {
expect(r.value.run_id).toBe("cae21289");
expect(r.value.model_role).toBe("extractor");
expect(r.value.provenance.source_file).toBe("data/_kb/distilled_facts.jsonl");
}
});
test("positive: contract_analysis materialized record validates with retrieval + observer fields", () => {
const r = validateEvidenceRecord(loadFixture("evidence_positive_contract_analysis.json"));
if (!r.valid) console.error("unexpected errors:", r.errors);
expect(r.valid).toBe(true);
if (r.valid) {
expect(r.value.observer_verdict).toBe("reject");
expect(r.value.observer_confidence).toBe(95);
expect(r.value.retrieved_context?.matrix_corpora?.length).toBe(4);
expect(r.value.failure_markers).toContain("observer_rejected");
}
});
test("negative: missing run_id is rejected with a specific error", () => {
const r = validateEvidenceRecord(loadFixture("evidence_negative_no_run_id.json"));
expect(r.valid).toBe(false);
if (!r.valid) {
expect(r.errors.some(e => e.includes("run_id"))).toBe(true);
}
});
test("negative: schema_version mismatch is rejected (silent v1/v2 drift guard)", () => {
const r = validateEvidenceRecord(loadFixture("evidence_negative_bad_schema_version.json"));
expect(r.valid).toBe(false);
if (!r.valid) {
expect(r.errors.some(e => e.includes("schema_version"))).toBe(true);
}
});
test("negative: bad provenance (non-sha256 sig_hash, non-ISO timestamp) is rejected", () => {
const r = validateEvidenceRecord(loadFixture("evidence_negative_bad_provenance.json"));
expect(r.valid).toBe(false);
if (!r.valid) {
// Must catch BOTH the sig_hash AND the recorded_at — comprehensive
// error reporting is part of the contract.
expect(r.errors.some(e => e.includes("sig_hash"))).toBe(true);
expect(r.errors.some(e => e.includes("recorded_at"))).toBe(true);
}
});
test("negative: non-object input is rejected with clear error", () => {
const r = validateEvidenceRecord("not an object");
expect(r.valid).toBe(false);
if (!r.valid) {
expect(r.errors[0]).toContain("expected object");
}
});
test("negative: human_override with invalid decision is rejected", () => {
const fixture = loadFixture("evidence_positive_distilled_fact.json") as Record<string, unknown>;
fixture.human_override = {
overrider: "test-user",
decision: "maybe", // invalid — must be accept|reject|needs_review
reason: "test",
overridden_at: "2026-04-26T22:30:00.000Z",
};
const r = validateEvidenceRecord(fixture);
expect(r.valid).toBe(false);
if (!r.valid) {
expect(r.errors.some(e => e.includes("human_override.decision"))).toBe(true);
}
});
test("positive: human_override = null is allowed (explicitly no override)", () => {
const fixture = loadFixture("evidence_positive_distilled_fact.json") as Record<string, unknown>;
fixture.human_override = null;
const r = validateEvidenceRecord(fixture);
expect(r.valid).toBe(true);
});
test("negative: observer_confidence outside [0, 100] is rejected", () => {
const fixture = loadFixture("evidence_positive_contract_analysis.json") as Record<string, unknown>;
fixture.observer_confidence = 150;
const r = validateEvidenceRecord(fixture);
expect(r.valid).toBe(false);
if (!r.valid) {
expect(r.errors.some(e => e.includes("observer_confidence"))).toBe(true);
}
});
@@ -1,202 +0,0 @@
// EvidenceRecord — the unified per-execution-trace record that the
// Evidence View emits and the Success Scorer reads.
//
// Derived from now.md spec + reconciliation of two existing prototypes:
// - distilled_facts.jsonl / distilled_procedures.jsonl (LLM-extracted
// text with run_id + sig_hash + extractor + verifier + embedding)
// - contract_analyses.jsonl (observer integration + retrieval
// telemetry + cost + duration)
//
// Required fields are the ones every record MUST have for traceability:
// run_id, task_id, timestamp, schema_version, provenance. Everything
// else is typed-but-optional because no single source has all of them
// — the Evidence View materializes them by JOINing across streams when
// the source data is present.
//
// schema_version starts at 1 and gets bumped on breaking changes.
// Validators MUST check schema_version and refuse unknown values so a
// future v2 reader doesn't silently accept v1 records (or vice versa).
import {
ValidationResult, Provenance,
requireString, requireNumber, requireIsoTimestamp, requireProvenance, requireStringArray,
} from "./types";
export const EVIDENCE_SCHEMA_VERSION = 1;
export type ModelRole =
| "executor" // produced the answer (e.g. scrum reviewer, mode runner LLM call)
| "reviewer" // judged an executor output (e.g. observer, hand-review)
| "extractor" // pulled structured data from text (e.g. fact_extractor)
| "verifier" // confirmed/rejected an extracted claim (verifier in distilled_*)
| "categorizer" // assigned a category (categorizer in distilled_*)
| "tiebreaker" // resolved a consensus split
| "applier" // landed code (scrum_applier)
| "embedder" // produced embeddings
| "other";
export interface EvidenceRecord {
// ── Identity ──
// run_id ties this record to a specific execution. Sources use it
// inconsistently (some stream-level, some per-call). The Evidence
// View canonicalizes to per-call; if the source is stream-level,
// synthesize as `${stream_run_id}:${row_index}`.
run_id: string;
// task_id groups records by logical task (e.g. one PR = one task_id
// across multiple per-call runs). Defaults to run_id when no group
// exists — never null.
task_id: string;
// ISO 8601 of when the EXECUTION happened, not when this record was
// materialized. Use the source row's timestamp; provenance carries
// the materialization time separately.
timestamp: string;
schema_version: number;
// ── Provenance ── (required — no record without source linkage)
provenance: Provenance;
// ── Model attribution (optional) ──
model_name?: string; // e.g. "kimi-k2:1t", "gpt-oss:120b"
model_provider?: string; // e.g. "ollama_cloud", "openrouter", "ollama"
model_role?: ModelRole;
// ── Content hashes (optional) ──
// sha256 of the full input prompt and full output content. Pre-
// computed so the Evidence Index can dedup across re-runs of the
// same prompt without re-hashing.
input_hash?: string;
output_hash?: string;
// ── Repo + execution context ──
source_files?: string[]; // files the run touched/read
commands_run?: string[]; // shell commands or tool calls fired
retrieved_context?: { // what the model saw via retrieval
matrix_corpora?: string[];
matrix_hits?: number;
matrix_chunks_kept?: number;
matrix_chunks_dropped?: number;
pathway_fingerprints_seen?: number;
};
// ── Observer + scratchpad ──
observer_notes?: string[]; // observer.review() free-form notes
observer_verdict?: "accept" | "reject" | "cycle" | string;
observer_confidence?: number; // 0-100
scratchpad_summary?: string; // tree-split scratchpad text or hash ref
// ── Outcome markers ──
// Both arrays exist because a run can have multiple succeeded gates
// AND multiple failed gates simultaneously. Empty arrays are valid;
// missing arrays are also valid (means "no evidence either way").
success_markers?: string[]; // e.g. "cargo_green", "tests_passed", "anchor_grounded"
failure_markers?: string[]; // e.g. "warning_count_up", "rationale_mismatch", "consensus_split"
// ── Validation telemetry ──
validation_results?: {
grounded_fraction?: number; // mode_compare grounding %
schema_valid?: boolean;
pathway_replay_succeeded?: boolean;
[key: string]: unknown;
};
// ── Human-in-loop ──
human_override?: {
overrider: string; // user identifier
decision: "accept" | "reject" | "needs_review";
reason: string;
overridden_at: string; // ISO 8601
} | null;
// ── Performance ──
cost_usd?: number;
latency_ms?: number;
prompt_tokens?: number;
completion_tokens?: number;
// ── Free-form text content (the actual run output) ──
// Optional because some sources are pure metadata (auto_apply.jsonl)
// and have no text payload. Present for distilled_*, contract_analyses,
// mode_experiments, scrum_reviews etc.
text?: string;
// ── Domain-specific metadata bucket ──
// Source-specific fields that don't earn a top-level slot. e.g.
// contract_analyses rows carry `contractor` here; mode_experiments
// could carry `corpus_set`. Typed scalar values only — keep this
// small or it becomes a junk drawer. Added 2026-04-27 (Kimi audit
// flagged `(ev as any).contractor` schema bypass at export_sft.ts:126).
metadata?: Record<string, string | number | boolean>;
}
export function validateEvidenceRecord(input: unknown): ValidationResult<EvidenceRecord> {
const errors: string[] = [];
if (typeof input !== "object" || input === null) {
return { valid: false, errors: ["expected object, got " + (input === null ? "null" : typeof input)] };
}
const r = input as Record<string, unknown>;
// Required
let ok = true;
ok = requireString(r.run_id, "run_id", errors) && ok;
ok = requireString(r.task_id, "task_id", errors) && ok;
ok = requireIsoTimestamp(r.timestamp, "timestamp", errors) && ok;
ok = requireProvenance(r.provenance, "provenance", errors) && ok;
if (r.schema_version !== EVIDENCE_SCHEMA_VERSION) {
errors.push(`schema_version: expected ${EVIDENCE_SCHEMA_VERSION}, got ${JSON.stringify(r.schema_version)}`);
ok = false;
}
// Optional but typed-when-present
if (r.model_role !== undefined) {
const valid: ModelRole[] = ["executor", "reviewer", "extractor", "verifier", "categorizer", "tiebreaker", "applier", "embedder", "other"];
if (!valid.includes(r.model_role as ModelRole)) {
errors.push(`model_role: must be one of ${valid.join("|")}, got ${JSON.stringify(r.model_role)}`);
ok = false;
}
}
if (r.input_hash !== undefined && !/^[0-9a-f]{64}$/.test(String(r.input_hash))) {
errors.push("input_hash: must be hex sha256 when present");
ok = false;
}
if (r.output_hash !== undefined && !/^[0-9a-f]{64}$/.test(String(r.output_hash))) {
errors.push("output_hash: must be hex sha256 when present");
ok = false;
}
if (r.source_files !== undefined && !requireStringArray(r.source_files, "source_files", errors)) ok = false;
if (r.commands_run !== undefined && !requireStringArray(r.commands_run, "commands_run", errors)) ok = false;
if (r.success_markers !== undefined && !requireStringArray(r.success_markers, "success_markers", errors)) ok = false;
if (r.failure_markers !== undefined && !requireStringArray(r.failure_markers, "failure_markers", errors)) ok = false;
if (r.observer_notes !== undefined && !requireStringArray(r.observer_notes, "observer_notes", errors)) ok = false;
if (r.observer_confidence !== undefined) {
if (!requireNumber(r.observer_confidence, "observer_confidence", errors)) ok = false;
else if ((r.observer_confidence as number) < 0 || (r.observer_confidence as number) > 100) {
errors.push("observer_confidence: must be in [0, 100]");
ok = false;
}
}
if (r.human_override !== undefined && r.human_override !== null) {
const ho = r.human_override as Record<string, unknown>;
if (typeof ho !== "object") {
errors.push("human_override: expected object or null");
ok = false;
} else {
ok = requireString(ho.overrider, "human_override.overrider", errors) && ok;
ok = requireString(ho.reason, "human_override.reason", errors) && ok;
ok = requireIsoTimestamp(ho.overridden_at, "human_override.overridden_at", errors) && ok;
if (!["accept", "reject", "needs_review"].includes(ho.decision as string)) {
errors.push(`human_override.decision: must be accept|reject|needs_review`);
ok = false;
}
}
}
if (!ok) return { valid: false, errors };
return { valid: true, value: r as unknown as EvidenceRecord };
}
@@ -1,11 +0,0 @@
{
"run_id": "cae21289",
"task_id": "team_runs:637",
"timestamp": "2026-04-23T09:54:40.729599Z",
"schema_version": 1,
"provenance": {
"source_file": "data/_kb/distilled_facts.jsonl",
"sig_hash": "not-a-real-sha256",
"recorded_at": "yesterday"
}
}
@@ -1,11 +0,0 @@
{
"run_id": "cae21289",
"task_id": "team_runs:637",
"timestamp": "2026-04-23T09:54:40.729599Z",
"schema_version": 99,
"provenance": {
"source_file": "data/_kb/distilled_facts.jsonl",
"sig_hash": "21a809e2dc43dfae0000000000000000000000000000000000000000deadbeef",
"recorded_at": "2026-04-26T22:30:00.000Z"
}
}
@@ -1,11 +0,0 @@
{
"task_id": "team_runs:637",
"timestamp": "2026-04-23T09:54:40.729599Z",
"schema_version": 1,
"provenance": {
"source_file": "data/_kb/distilled_facts.jsonl",
"sig_hash": "21a809e2dc43dfae0000000000000000000000000000000000000000deadbeef",
"recorded_at": "2026-04-26T22:30:00.000Z"
},
"text": "missing run_id should fail validation"
}
@@ -1,27 +0,0 @@
{
"run_id": "contract_analysis:101078392:1777250758717",
"task_id": "permit:101078392",
"timestamp": "2026-04-25T23:45:58.717Z",
"schema_version": 1,
"provenance": {
"source_file": "data/_kb/contract_analyses.jsonl",
"line_offset": 0,
"sig_hash": "f1f1f1f1f1f1f1f1f1f1f1f1f1f1f1f1f1f1f1f1f1f1f1f1f1f1f1f1f1f1f1f1",
"recorded_at": "2026-04-26T22:30:00.000Z"
},
"model_name": "kimi-k2:1t",
"model_role": "executor",
"model_provider": "ollama_cloud",
"retrieved_context": {
"matrix_corpora": ["entity_brief_v1", "chicago_permits_v1", "distilled_procedural_v20260423102847", "sec_tickers_v1"],
"matrix_hits": 10
},
"observer_notes": ["contractor history shows 0 prior fills in Chicago downtown zone"],
"observer_verdict": "reject",
"observer_confidence": 95,
"success_markers": ["matrix_hits_above_threshold"],
"failure_markers": ["observer_rejected"],
"cost_usd": 0.0002,
"latency_ms": 25419,
"text": "Permit 101078392 contractor ANTHONY FIORE — analysis: insufficient prior performance signal; recommend escalation."
}
@@ -1,19 +0,0 @@
{
"run_id": "cae21289",
"task_id": "team_runs:637",
"timestamp": "2026-04-23T09:54:40.729599Z",
"schema_version": 1,
"provenance": {
"source_file": "data/_kb/distilled_facts.jsonl",
"line_offset": 0,
"sig_hash": "21a809e2dc43dfae0000000000000000000000000000000000000000deadbeef",
"recorded_at": "2026-04-26T22:30:00.000Z"
},
"model_name": "qwen2.5:latest",
"model_role": "extractor",
"model_provider": "ollama",
"text": "Convergence refers to the system stabilizing into a state of high performance with low variance across iterations.",
"validation_results": {
"schema_valid": true
}
}
@@ -1,56 +0,0 @@
// ModelLedgerEntry — aggregate per-task-type-per-model performance.
// Built by aggregating mode_experiments.jsonl + model_trust.jsonl.
// Updated rather than appended — one row per (model_name, task_type)
// representing latest aggregates.
import {
ValidationResult, requireString, requireNumber, requireIsoTimestamp, requireStringArray,
} from "./types";
export const MODEL_LEDGER_SCHEMA_VERSION = 1;
export interface ModelLedgerEntry {
schema_version: number;
model_name: string;
model_provider: string;
task_type: string;
success_rate: number; // [0, 1]
failure_modes: string[]; // top failure mode tags
best_partner_model?: string; // pairs well with X (consensus / tie-break)
escalation_role?: string; // when this model gets escalated TO (or FROM)
cost_usd_p50?: number;
latency_ms_p50?: number;
latency_ms_p95?: number;
context_window?: number;
sample_count: number;
last_updated: string; // ISO 8601
notes?: string;
}
export function validateModelLedgerEntry(input: unknown): ValidationResult<ModelLedgerEntry> {
const errors: string[] = [];
if (typeof input !== "object" || input === null) return { valid: false, errors: ["expected object"] };
const r = input as Record<string, unknown>;
let ok = true;
if (r.schema_version !== MODEL_LEDGER_SCHEMA_VERSION) {
errors.push(`schema_version: expected ${MODEL_LEDGER_SCHEMA_VERSION}, got ${JSON.stringify(r.schema_version)}`);
ok = false;
}
ok = requireString(r.model_name, "model_name", errors) && ok;
ok = requireString(r.model_provider, "model_provider", errors) && ok;
ok = requireString(r.task_type, "task_type", errors) && ok;
ok = requireIsoTimestamp(r.last_updated, "last_updated", errors) && ok;
ok = requireStringArray(r.failure_modes, "failure_modes", errors) && ok;
if (!requireNumber(r.success_rate, "success_rate", errors)) ok = false;
else if ((r.success_rate as number) < 0 || (r.success_rate as number) > 1) {
errors.push("success_rate: must be in [0, 1]"); ok = false;
}
if (!requireNumber(r.sample_count, "sample_count", errors)) ok = false;
else if ((r.sample_count as number) < 1 || !Number.isInteger(r.sample_count)) {
errors.push("sample_count: must be positive integer (no aggregate from zero samples)"); ok = false;
}
if (!ok) return { valid: false, errors };
return { valid: true, value: r as unknown as ModelLedgerEntry };
}
-68
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@@ -1,68 +0,0 @@
// Playbook — procedural knowledge extracted from accepted/partially-
// accepted runs. Different from pathway_memory's bug_fingerprints (which
// are pattern-detectors) — playbooks describe HOW to handle a task type.
import {
ValidationResult, requireString, requireIsoTimestamp, requireProvenance, requireStringArray,
} from "./types";
export const PLAYBOOK_SCHEMA_VERSION = 1;
export interface Playbook {
schema_version: number;
playbook_id: string;
task_type: string; // e.g. "scrum_review", "pr_audit", "staffing.fill"
problem_pattern: string; // when does this playbook apply?
useful_context: string[]; // what to retrieve before running
model_routing_path: string[]; // ordered model attempts that worked
commands_worked: string[];
commands_failed: string[];
validation_steps: string[];
repo_files_touched: string[];
recovery_strategy: string; // what to do when the path fails
known_failure_modes: string[];
escalation_threshold: string; // when to switch to a stronger model
acceptance_criteria: string[]; // how to know it succeeded
source_run_ids: string[]; // FK to EvidenceRecord.run_id (provenance — every playbook traces to source)
created_at: string;
provenance: { source_file: string; line_offset?: number; sig_hash: string; recorded_at: string };
}
export function validatePlaybook(input: unknown): ValidationResult<Playbook> {
const errors: string[] = [];
if (typeof input !== "object" || input === null) return { valid: false, errors: ["expected object"] };
const r = input as Record<string, unknown>;
let ok = true;
if (r.schema_version !== PLAYBOOK_SCHEMA_VERSION) {
errors.push(`schema_version: expected ${PLAYBOOK_SCHEMA_VERSION}, got ${JSON.stringify(r.schema_version)}`);
ok = false;
}
ok = requireString(r.playbook_id, "playbook_id", errors) && ok;
ok = requireString(r.task_type, "task_type", errors) && ok;
ok = requireString(r.problem_pattern, "problem_pattern", errors) && ok;
ok = requireString(r.recovery_strategy, "recovery_strategy", errors) && ok;
ok = requireString(r.escalation_threshold, "escalation_threshold", errors) && ok;
ok = requireIsoTimestamp(r.created_at, "created_at", errors) && ok;
ok = requireStringArray(r.useful_context, "useful_context", errors) && ok;
ok = requireStringArray(r.model_routing_path, "model_routing_path", errors) && ok;
ok = requireStringArray(r.commands_worked, "commands_worked", errors) && ok;
ok = requireStringArray(r.commands_failed, "commands_failed", errors) && ok;
ok = requireStringArray(r.validation_steps, "validation_steps", errors) && ok;
ok = requireStringArray(r.repo_files_touched, "repo_files_touched", errors) && ok;
ok = requireStringArray(r.known_failure_modes, "known_failure_modes", errors) && ok;
ok = requireStringArray(r.acceptance_criteria, "acceptance_criteria", errors) && ok;
ok = requireStringArray(r.source_run_ids, "source_run_ids", errors) && ok;
if (Array.isArray(r.source_run_ids) && r.source_run_ids.length === 0) {
errors.push("source_run_ids: must be non-empty — every playbook traces to source evidence (spec non-negotiable)");
ok = false;
}
if (Array.isArray(r.acceptance_criteria) && r.acceptance_criteria.length === 0) {
errors.push("acceptance_criteria: must be non-empty — every playbook needs success criteria (spec non-negotiable)");
ok = false;
}
ok = requireProvenance(r.provenance, "provenance", errors) && ok;
if (!ok) return { valid: false, errors };
return { valid: true, value: r as unknown as Playbook };
}
@@ -1,60 +0,0 @@
// PreferenceSample — entry in exports/preference/chosen_rejected.jsonl.
// Source: real disagreements (audit_discrepancies, scrum ladder retries).
// Validator pins: chosen != rejected, both source_run_ids present, reason
// is non-empty. No synthesized preferences.
import {
ValidationResult, requireString, requireIsoTimestamp, requireProvenance,
} from "./types";
export const PREFERENCE_SAMPLE_SCHEMA_VERSION = 1;
export interface PreferenceSample {
schema_version: number;
id: string;
prompt: string;
chosen: string;
rejected: string;
reason: string; // why chosen > rejected — must be non-empty
chosen_run_id: string;
rejected_run_id: string;
created_at: string;
provenance: { source_file: string; line_offset?: number; sig_hash: string; recorded_at: string };
}
export function validatePreferenceSample(input: unknown): ValidationResult<PreferenceSample> {
const errors: string[] = [];
if (typeof input !== "object" || input === null) return { valid: false, errors: ["expected object"] };
const r = input as Record<string, unknown>;
let ok = true;
if (r.schema_version !== PREFERENCE_SAMPLE_SCHEMA_VERSION) {
errors.push(`schema_version: expected ${PREFERENCE_SAMPLE_SCHEMA_VERSION}, got ${JSON.stringify(r.schema_version)}`);
ok = false;
}
ok = requireString(r.id, "id", errors) && ok;
ok = requireString(r.prompt, "prompt", errors) && ok;
ok = requireString(r.chosen, "chosen", errors) && ok;
ok = requireString(r.rejected, "rejected", errors) && ok;
ok = requireString(r.reason, "reason", errors) && ok;
ok = requireString(r.chosen_run_id, "chosen_run_id", errors) && ok;
ok = requireString(r.rejected_run_id, "rejected_run_id", errors) && ok;
ok = requireIsoTimestamp(r.created_at, "created_at", errors) && ok;
ok = requireProvenance(r.provenance, "provenance", errors) && ok;
// Self-pairing guard.
if (r.chosen === r.rejected && typeof r.chosen === "string") {
errors.push("chosen and rejected must differ — preference data needs a real disagreement");
ok = false;
}
if (r.chosen_run_id === r.rejected_run_id && typeof r.chosen_run_id === "string") {
errors.push("chosen_run_id and rejected_run_id must differ — same run can't disagree with itself");
ok = false;
}
if (typeof r.reason === "string" && (r.reason as string).trim().length === 0) {
errors.push("reason: must be non-whitespace (every preference needs WHY chosen > rejected)");
ok = false;
}
if (!ok) return { valid: false, errors };
return { valid: true, value: r as unknown as PreferenceSample };
}
@@ -1,72 +0,0 @@
// RagSample — entry in exports/rag/playbooks.jsonl. Spec shape exactly,
// plus provenance + success_score (so the index can re-rank by quality).
import {
ValidationResult, requireString, requireNumber, requireIsoTimestamp, requireProvenance, requireStringArray,
} from "./types";
export const RAG_SAMPLE_SCHEMA_VERSION = 1;
// Allowed source_category values. RAG accepts accepted/partial freely;
// needs_human_review is opt-in (must be tagged so consumers can filter
// it out for SFT).
export const RAG_ALLOWED_CATEGORIES = ["accepted", "partially_accepted", "needs_human_review"] as const;
export type RagSourceCategory = (typeof RAG_ALLOWED_CATEGORIES)[number];
export interface RagSample {
schema_version: number;
id: string;
title: string;
content: string;
tags: string[];
source_run_id: string;
// Snapshot of the score the source carried at export time. Lets a
// consumer see "this was partial" without re-reading scored-runs.
success_score: RagSourceCategory;
// Same value as success_score by spec (now.md asks for both fields).
// Kept distinct so future schemas can diverge them (e.g. an
// "is_review_material" flag) without breaking old consumers.
source_category: RagSourceCategory;
embedding_text: string; // the text to embed (often == content but can be shorter)
created_at: string;
provenance: { source_file: string; line_offset?: number; sig_hash: string; recorded_at: string };
}
export function validateRagSample(input: unknown): ValidationResult<RagSample> {
const errors: string[] = [];
if (typeof input !== "object" || input === null) return { valid: false, errors: ["expected object"] };
const r = input as Record<string, unknown>;
let ok = true;
if (r.schema_version !== RAG_SAMPLE_SCHEMA_VERSION) {
errors.push(`schema_version: expected ${RAG_SAMPLE_SCHEMA_VERSION}, got ${JSON.stringify(r.schema_version)}`);
ok = false;
}
ok = requireString(r.id, "id", errors) && ok;
ok = requireString(r.title, "title", errors) && ok;
ok = requireString(r.content, "content", errors) && ok;
ok = requireString(r.embedding_text, "embedding_text", errors) && ok;
ok = requireString(r.source_run_id, "source_run_id", errors) && ok;
ok = requireIsoTimestamp(r.created_at, "created_at", errors) && ok;
ok = requireStringArray(r.tags, "tags", errors) && ok;
ok = requireProvenance(r.provenance, "provenance", errors) && ok;
if (!RAG_ALLOWED_CATEGORIES.includes(r.success_score as RagSourceCategory)) {
errors.push(`success_score: must be one of ${RAG_ALLOWED_CATEGORIES.join("|")} (rejected never enters RAG)`);
ok = false;
}
if (!RAG_ALLOWED_CATEGORIES.includes(r.source_category as RagSourceCategory)) {
errors.push(`source_category: must be one of ${RAG_ALLOWED_CATEGORIES.join("|")}`);
ok = false;
}
if (r.success_score !== r.source_category) {
errors.push("success_score and source_category must match (mirrored fields per spec)");
ok = false;
}
if (typeof r.content === "string" && (r.content as string).trim().length === 0) {
errors.push("content: must be non-whitespace");
ok = false;
}
if (!ok) return { valid: false, errors };
return { valid: true, value: r as unknown as RagSample };
}
@@ -1,286 +0,0 @@
// Real-data validation test — proves the EvidenceRecord schema fits
// what we ALREADY produce, with the minimum transformation each source
// stream requires. Doubles as the stale-extraction probe: if
// distilled_facts.jsonl rows can't materialize, we know that stream
// has rotted and Phase 2 sources from elsewhere.
//
// Strategy:
// 1. Read first N rows from each source jsonl (skip if missing)
// 2. Apply minimal transformer: add schema_version + provenance,
// synthesize run_id/task_id when source doesn't carry them
// 3. Validate each materialized record
// 4. Tally pass/fail per source + collect failure reasons
//
// This file is allowed to skip when source files don't exist (fresh
// clone), so it acts as both a CI guard and a real-environment probe.
import { test, expect } from "bun:test";
import { existsSync, readFileSync } from "node:fs";
import { resolve } from "node:path";
import {
validateEvidenceRecord, EVIDENCE_SCHEMA_VERSION, EvidenceRecord, ModelRole,
} from "./evidence_record";
const ROOT = "/home/profit/lakehouse";
const SAMPLE_PER_SOURCE = 10;
interface SourceProbe {
source_file: string;
transform: (row: any, lineNo: number) => Partial<EvidenceRecord> | null;
}
// Canonical 64-char synthetic sha256 for tests where the source row
// lacks one. Pretends the materializer would compute it via
// canonicalSha256(orderedKeys(row)) at Phase 2 time. We use a fixed
// value here to keep the test deterministic; real materialization
// re-hashes per row.
const PLACEHOLDER_SHA = "0000000000000000000000000000000000000000000000000000000000000000";
const RECORDED = "2026-04-26T22:30:00.000Z";
function provFor(source_file: string, lineNo: number, sigHashRaw?: string): EvidenceRecord["provenance"] {
// Pad shorter hashes (distilled_* uses 16-char) to 64 — mimics
// canonical recompute.
const sig = sigHashRaw && /^[0-9a-f]+$/.test(sigHashRaw)
? sigHashRaw.padEnd(64, "0").slice(0, 64)
: PLACEHOLDER_SHA;
return {
source_file: source_file.replace(`${ROOT}/`, ""),
line_offset: lineNo,
sig_hash: sig,
recorded_at: RECORDED,
};
}
const PROBES: SourceProbe[] = [
{
source_file: `${ROOT}/data/_kb/distilled_facts.jsonl`,
transform: (row: any, lineNo: number) => ({
run_id: String(row.run_id ?? `distilled_facts:${lineNo}`),
task_id: String(row.source_label ?? `distilled_facts:${lineNo}`),
timestamp: row.created_at,
schema_version: EVIDENCE_SCHEMA_VERSION,
provenance: provFor(`${ROOT}/data/_kb/distilled_facts.jsonl`, lineNo, row.sig_hash),
model_name: row.extractor,
model_role: "extractor" as ModelRole,
model_provider: "ollama",
text: row.text,
}),
},
{
source_file: `${ROOT}/data/_kb/distilled_procedures.jsonl`,
transform: (row: any, lineNo: number) => ({
run_id: String(row.run_id ?? `distilled_procedures:${lineNo}`),
task_id: String(row.source_label ?? `distilled_procedures:${lineNo}`),
timestamp: row.created_at,
schema_version: EVIDENCE_SCHEMA_VERSION,
provenance: provFor(`${ROOT}/data/_kb/distilled_procedures.jsonl`, lineNo, row.sig_hash),
model_name: row.extractor,
model_role: "extractor" as ModelRole,
model_provider: "ollama",
text: row.text,
}),
},
{
source_file: `${ROOT}/data/_kb/contract_analyses.jsonl`,
transform: (row: any, lineNo: number) => ({
run_id: `contract_analysis:${row.permit_id}:${new Date(row.ts).getTime()}`,
task_id: `permit:${row.permit_id}`,
timestamp: row.ts,
schema_version: EVIDENCE_SCHEMA_VERSION,
provenance: provFor(`${ROOT}/data/_kb/contract_analyses.jsonl`, lineNo),
model_role: "executor" as ModelRole,
retrieved_context: {
matrix_corpora: Object.keys(row.matrix_corpora ?? {}),
matrix_hits: row.matrix_hits,
},
observer_notes: row.observer_notes ? [row.observer_notes].flat() : undefined,
observer_verdict: row.observer_verdict,
observer_confidence: row.observer_conf,
success_markers: row.ok ? ["matrix_hits_above_threshold"] : undefined,
failure_markers: !row.ok || row.observer_verdict === "reject" ? ["observer_rejected"] : undefined,
cost_usd: typeof row.cost === "number" ? row.cost / 1_000_000 : undefined,
latency_ms: row.duration_ms,
text: row.analysis,
}),
},
{
source_file: `${ROOT}/data/_kb/mode_experiments.jsonl`,
transform: (row: any, lineNo: number) => ({
run_id: `mode_exec:${new Date(row.ts).getTime()}:${row.file_path ?? "?"}`,
task_id: row.task_class,
timestamp: row.ts,
schema_version: EVIDENCE_SCHEMA_VERSION,
provenance: provFor(`${ROOT}/data/_kb/mode_experiments.jsonl`, lineNo),
model_name: row.model,
model_role: "executor" as ModelRole,
model_provider: row.model?.includes("/") ? "openrouter" : "ollama_cloud",
retrieved_context: {
matrix_corpora: row.sources?.matrix_corpus,
matrix_chunks_kept: row.sources?.matrix_chunks_kept,
matrix_chunks_dropped: row.sources?.matrix_chunks_dropped,
pathway_fingerprints_seen: row.sources?.bug_fingerprints_count,
},
latency_ms: row.latency_ms,
text: row.response,
source_files: row.file_path ? [row.file_path] : undefined,
}),
},
{
source_file: `${ROOT}/data/_kb/scrum_reviews.jsonl`,
transform: (row: any, lineNo: number) => ({
run_id: `scrum:${new Date(row.reviewed_at).getTime()}:${row.file}`,
task_id: `scrum_review:${row.file}`,
timestamp: row.reviewed_at,
schema_version: EVIDENCE_SCHEMA_VERSION,
provenance: provFor(`${ROOT}/data/_kb/scrum_reviews.jsonl`, lineNo),
model_name: row.accepted_model,
model_role: "executor" as ModelRole,
source_files: [row.file],
success_markers: row.accepted_on_attempt ? [`accepted_on_attempt_${row.accepted_on_attempt}`] : undefined,
text: row.suggestions_preview,
}),
},
{
source_file: `${ROOT}/data/_kb/observer_escalations.jsonl`,
transform: (row: any, lineNo: number) => ({
run_id: `obs_esc:${new Date(row.ts).getTime()}:${row.sig_hash}`,
task_id: `observer_escalation:${row.cluster_endpoint ?? "?"}`,
timestamp: row.ts,
schema_version: EVIDENCE_SCHEMA_VERSION,
provenance: provFor(`${ROOT}/data/_kb/observer_escalations.jsonl`, lineNo, row.sig_hash),
model_role: "reviewer" as ModelRole,
prompt_tokens: row.prompt_tokens,
completion_tokens: row.completion_tokens,
text: row.analysis,
}),
},
{
source_file: `${ROOT}/data/_kb/audit_facts.jsonl`,
transform: (row: any, lineNo: number) => ({
run_id: `audit_facts:${row.head_sha}:${lineNo}`,
task_id: `pr:${row.pr_number}`,
timestamp: row.extracted_at,
schema_version: EVIDENCE_SCHEMA_VERSION,
provenance: provFor(`${ROOT}/data/_kb/audit_facts.jsonl`, lineNo),
model_name: row.extractor,
model_role: "extractor" as ModelRole,
// facts/entities/relationships go into text as a JSON dump for now;
// structured handling lives in Phase 2 where we map to specific
// EvidenceRecord substructures.
text: JSON.stringify({
facts: row.facts?.length ?? 0,
entities: row.entities?.length ?? 0,
relationships: row.relationships?.length ?? 0,
}),
}),
},
];
interface ProbeResult {
source_file: string;
rows_attempted: number;
rows_present: boolean;
passed: number;
failed: number;
failure_reasons: string[]; // unique error strings, top 5
}
const RESULTS: ProbeResult[] = [];
for (const probe of PROBES) {
const sourceLabel = probe.source_file.replace(`${ROOT}/`, "");
test(`real-data: ${sourceLabel}`, () => {
const result: ProbeResult = {
source_file: sourceLabel,
rows_attempted: 0,
rows_present: false,
passed: 0,
failed: 0,
failure_reasons: [],
};
if (!existsSync(probe.source_file)) {
RESULTS.push(result);
// Skip silently — fresh clones won't have these files
return;
}
result.rows_present = true;
const lines = readFileSync(probe.source_file, "utf8").split("\n").filter(Boolean).slice(0, SAMPLE_PER_SOURCE);
const reasons = new Set<string>();
for (let i = 0; i < lines.length; i++) {
result.rows_attempted++;
let row: unknown;
try { row = JSON.parse(lines[i]); }
catch { continue; }
const transformed = probe.transform(row, i);
if (!transformed) continue;
const v = validateEvidenceRecord(transformed);
if (v.valid) result.passed++;
else {
result.failed++;
for (const e of v.errors) reasons.add(e);
}
}
result.failure_reasons = Array.from(reasons).slice(0, 5);
RESULTS.push(result);
// Test passes as long as we attempted something and got a result.
// Per-source pass/fail counts are reported in the markdown writeup.
expect(result.rows_attempted).toBeGreaterThanOrEqual(0);
});
}
test("real-data: emit markdown report", () => {
const md: string[] = [];
md.push("# Real-data validation report");
md.push("");
md.push("Schema = EvidenceRecord v" + EVIDENCE_SCHEMA_VERSION + ". Sample = first " + SAMPLE_PER_SOURCE + " rows per source.");
md.push("");
md.push("| Source | Present | Rows | Pass | Fail | Pass% |");
md.push("|---|---|---|---|---|---|");
for (const r of RESULTS) {
const pct = r.rows_attempted > 0 ? Math.round(100 * r.passed / r.rows_attempted) + "%" : "—";
md.push(`| ${r.source_file} | ${r.rows_present ? "✓" : "—"} | ${r.rows_attempted} | ${r.passed} | ${r.failed} | ${pct} |`);
}
md.push("");
let hasFailures = false;
for (const r of RESULTS) {
if (r.failed > 0) {
hasFailures = true;
md.push(`## Failures in ${r.source_file}`);
for (const reason of r.failure_reasons) md.push(`- \`${reason}\``);
md.push("");
}
}
if (!hasFailures) {
md.push("**No failures across all probed sources.** Every materialized record validates against EvidenceRecord v1.");
md.push("");
}
// Stale extraction probe: explicit pass/fail
const distilledFacts = RESULTS.find(r => r.source_file.endsWith("distilled_facts.jsonl"));
const distilledProc = RESULTS.find(r => r.source_file.endsWith("distilled_procedures.jsonl"));
md.push("## Stale-extraction probe");
md.push("");
if (distilledFacts && distilledFacts.rows_present && distilledFacts.passed > 0) {
md.push(`- **distilled_facts.jsonl:** ${distilledFacts.passed}/${distilledFacts.rows_attempted} materialize cleanly. Stream is alive at the schema level.`);
} else if (distilledFacts && !distilledFacts.rows_present) {
md.push(`- **distilled_facts.jsonl:** missing — stale or never produced. Phase 2 sources from live streams instead.`);
} else {
md.push(`- **distilled_facts.jsonl:** present but materialization failures; treat as suspect, prefer mode_experiments + scrum_reviews.`);
}
if (distilledProc && distilledProc.rows_present && distilledProc.passed > 0) {
md.push(`- **distilled_procedures.jsonl:** ${distilledProc.passed}/${distilledProc.rows_attempted} materialize cleanly.`);
}
md.push("");
// Write the markdown to a stable path and stdout
const out = md.join("\n");
Bun.write(`${ROOT}/data/_kb/realdata_validation_report.md`, out);
console.log("\n" + out);
});
-111
View File
@@ -1,111 +0,0 @@
// Receipt — per-pipeline-stage record with everything needed to
// reproduce the run. Spec non-negotiable: substantive receipts, not
// "ran successfully". Every field below has a deterministic source so
// the receipt schema validator catches "I forgot to fill it in" the
// same way it catches type errors.
import {
ValidationResult, requireString, requireNumber, requireIsoTimestamp,
} from "./types";
export const RECEIPT_SCHEMA_VERSION = 1;
export interface FileReference {
path: string; // relative to repo root
sha256: string; // hex
bytes?: number; // optional but recommended
}
export interface Receipt {
schema_version: number;
command: string; // shell-line or script identifier
git_sha: string; // 40-char hex (full SHA1)
git_branch?: string;
git_dirty?: boolean; // true if working tree had uncommitted changes
started_at: string; // ISO 8601
ended_at: string; // ISO 8601
duration_ms: number;
input_files: FileReference[];
output_files: FileReference[];
record_counts: {
in: number;
out: number;
[key: string]: number; // per-stage extras (filtered, dropped, etc.)
};
validation_pass: boolean; // explicit — never inferred
errors: string[];
warnings: string[];
}
function validateFileRef(v: unknown, field: string, errors: string[]): boolean {
if (typeof v !== "object" || v === null) {
errors.push(`${field}: expected object`);
return false;
}
const f = v as Record<string, unknown>;
let ok = true;
ok = requireString(f.path, `${field}.path`, errors) && ok;
if (typeof f.sha256 !== "string" || !/^[0-9a-f]{64}$/.test(f.sha256)) {
errors.push(`${field}.sha256: must be hex sha256`);
ok = false;
}
if (f.bytes !== undefined && typeof f.bytes !== "number") {
errors.push(`${field}.bytes: expected number when present`);
ok = false;
}
return ok;
}
export function validateReceipt(input: unknown): ValidationResult<Receipt> {
const errors: string[] = [];
if (typeof input !== "object" || input === null) {
return { valid: false, errors: ["expected object"] };
}
const r = input as Record<string, unknown>;
let ok = true;
if (r.schema_version !== RECEIPT_SCHEMA_VERSION) {
errors.push(`schema_version: expected ${RECEIPT_SCHEMA_VERSION}, got ${JSON.stringify(r.schema_version)}`);
ok = false;
}
ok = requireString(r.command, "command", errors) && ok;
if (typeof r.git_sha !== "string" || !/^[0-9a-f]{40}$/.test(r.git_sha as string)) {
errors.push("git_sha: must be 40-char hex");
ok = false;
}
ok = requireIsoTimestamp(r.started_at, "started_at", errors) && ok;
ok = requireIsoTimestamp(r.ended_at, "ended_at", errors) && ok;
ok = requireNumber(r.duration_ms, "duration_ms", errors) && ok;
if (typeof r.validation_pass !== "boolean") {
errors.push("validation_pass: must be boolean (explicit, never inferred)");
ok = false;
}
if (!Array.isArray(r.input_files)) {
errors.push("input_files: expected array");
ok = false;
} else {
for (let i = 0; i < r.input_files.length; i++) {
if (!validateFileRef(r.input_files[i], `input_files[${i}]`, errors)) ok = false;
}
}
if (!Array.isArray(r.output_files)) {
errors.push("output_files: expected array");
ok = false;
} else {
for (let i = 0; i < r.output_files.length; i++) {
if (!validateFileRef(r.output_files[i], `output_files[${i}]`, errors)) ok = false;
}
}
if (typeof r.record_counts !== "object" || r.record_counts === null) {
errors.push("record_counts: expected object");
ok = false;
} else {
const rc = r.record_counts as Record<string, unknown>;
if (typeof rc.in !== "number") { errors.push("record_counts.in: expected number"); ok = false; }
if (typeof rc.out !== "number") { errors.push("record_counts.out: expected number"); ok = false; }
}
if (!Array.isArray(r.errors)) { errors.push("errors: expected array"); ok = false; }
if (!Array.isArray(r.warnings)) { errors.push("warnings: expected array"); ok = false; }
if (!ok) return { valid: false, errors };
return { valid: true, value: r as unknown as Receipt };
}
@@ -1,90 +0,0 @@
// run_summary.ts — aggregates StageReceipt rows for one run_id.
// Spec field set: total records processed, total accepted/rejected/
// quarantined, dataset sizes, validation status, overall hash of run.
import {
ValidationResult, requireString, requireNumber, requireIsoTimestamp, requireSha256,
} from "./types";
import type { StageName } from "./stage_receipt";
export const RUN_SUMMARY_SCHEMA_VERSION = 1;
export interface RunStageSummary {
stage: StageName;
records_in: number;
records_out: number;
accepted: number;
rejected: number;
quarantined: number;
skipped: number;
passed: boolean;
duration_ms: number;
output_hash: string;
}
export interface RunSummary {
schema_version: number;
run_id: string;
started_at: string; // earliest stage timestamp
ended_at: string; // latest stage timestamp + duration
git_commit: string;
stages: RunStageSummary[];
// Aggregates across stages
total_records_in: number;
total_records_out: number;
total_accepted: number;
total_rejected: number;
total_quarantined: number;
total_skipped: number;
// Dataset sizes — final outputs of each export stage
rag_records: number;
sft_records: number;
preference_pairs: number;
// Pipeline-wide pass = AND of every stage validation.passed
overall_passed: boolean;
// Run-wide hash: sha256 over each stage's output hash, sorted by stage name.
// Detects ANY change in any stage output across runs.
run_hash: string;
total_duration_ms: number;
}
export function validateRunSummary(input: unknown): ValidationResult<RunSummary> {
const errors: string[] = [];
if (typeof input !== "object" || input === null) {
return { valid: false, errors: ["expected object"] };
}
const r = input as Record<string, unknown>;
let ok = true;
if (r.schema_version !== RUN_SUMMARY_SCHEMA_VERSION) {
errors.push(`schema_version: expected ${RUN_SUMMARY_SCHEMA_VERSION}, got ${JSON.stringify(r.schema_version)}`);
ok = false;
}
ok = requireString(r.run_id, "run_id", errors) && ok;
ok = requireIsoTimestamp(r.started_at, "started_at", errors) && ok;
ok = requireIsoTimestamp(r.ended_at, "ended_at", errors) && ok;
if (typeof r.git_commit !== "string" || !/^[0-9a-f]{40}$/.test(r.git_commit as string)) {
errors.push("git_commit: must be 40-char hex");
ok = false;
}
if (typeof r.overall_passed !== "boolean") {
errors.push("overall_passed: must be boolean");
ok = false;
}
ok = requireSha256(r.run_hash, "run_hash", errors) && ok;
for (const k of ["total_records_in", "total_records_out", "total_accepted", "total_rejected",
"total_quarantined", "total_skipped", "rag_records", "sft_records",
"preference_pairs", "total_duration_ms"]) {
if (typeof (r as any)[k] !== "number") {
errors.push(`${k}: expected number`);
ok = false;
}
}
if (!Array.isArray(r.stages)) {
errors.push("stages: expected array");
ok = false;
}
if (!ok) return { valid: false, errors };
return { valid: true, value: r as unknown as RunSummary };
}
@@ -1,367 +0,0 @@
// Combined schema tests for ScoredRun, Receipt, Playbook,
// ScratchpadSummary, ModelLedgerEntry, RagSample, SftSample,
// PreferenceSample. EvidenceRecord lives in its own file because it's
// the foundational schema and warrants the JSON-fixture round-trip
// pattern; the rest use inline fixture makers since they're simpler.
//
// Each schema: 1 positive fixture + 4-5 negative cases pinning the
// non-negotiable invariants from now.md.
//
// Run: bun test auditor/schemas/distillation/schemas.test.ts
import { test, expect } from "bun:test";
import { validateScoredRun, SCORED_RUN_SCHEMA_VERSION } from "./scored_run";
import { validateReceipt, RECEIPT_SCHEMA_VERSION } from "./receipt";
import { validatePlaybook, PLAYBOOK_SCHEMA_VERSION } from "./playbook";
import { validateScratchpadSummary, SCRATCHPAD_SCHEMA_VERSION } from "./scratchpad_summary";
import { validateModelLedgerEntry, MODEL_LEDGER_SCHEMA_VERSION } from "./model_ledger";
import { validateRagSample, RAG_SAMPLE_SCHEMA_VERSION } from "./rag_sample";
import { validateSftSample, SFT_SAMPLE_SCHEMA_VERSION } from "./sft_sample";
import { validatePreferenceSample, PREFERENCE_SAMPLE_SCHEMA_VERSION } from "./preference_sample";
const NOW = "2026-04-26T22:30:00.000Z";
const SHA = "0123456789abcdef0123456789abcdef0123456789abcdef0123456789abcdef";
const GIT_SHA = "f753e11157eef753e11157eef753e11157eef753";
const PROVENANCE = {
source_file: "data/_kb/scored_runs.jsonl",
line_offset: 0,
sig_hash: SHA,
recorded_at: NOW,
};
// ─── ScoredRun ───────────────────────────────────────────────────────
const SCORED_RUN_OK = {
schema_version: SCORED_RUN_SCHEMA_VERSION,
evidence_run_id: "run-abc",
evidence_task_id: "task-abc",
category: "accepted",
reasons: ["cargo_green=true", "anchor_grounding=0.95"],
scored_at: NOW,
scorer_version: "v1.0.0",
sub_scores: { cargo_green: true, anchor_grounding: 0.95 },
provenance: PROVENANCE,
};
test("ScoredRun: positive validates", () => {
const r = validateScoredRun(SCORED_RUN_OK);
if (!r.valid) console.error(r.errors);
expect(r.valid).toBe(true);
});
test("ScoredRun: empty reasons rejected (every score needs a reason)", () => {
const r = validateScoredRun({ ...SCORED_RUN_OK, reasons: [] });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("reasons"))).toBe(true);
});
test("ScoredRun: invalid category rejected", () => {
const r = validateScoredRun({ ...SCORED_RUN_OK, category: "maybe_ok" });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("category"))).toBe(true);
});
test("ScoredRun: anchor_grounding > 1 rejected (must be in [0, 1])", () => {
const r = validateScoredRun({ ...SCORED_RUN_OK, sub_scores: { ...SCORED_RUN_OK.sub_scores, anchor_grounding: 1.5 } });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("anchor_grounding"))).toBe(true);
});
// ─── Receipt ─────────────────────────────────────────────────────────
const RECEIPT_OK = {
schema_version: RECEIPT_SCHEMA_VERSION,
command: "bun run scripts/build_evidence_index.ts",
git_sha: GIT_SHA,
git_branch: "scrum/auto-apply-19814",
git_dirty: false,
started_at: NOW,
ended_at: NOW,
duration_ms: 1234,
input_files: [{ path: "data/_kb/scrum_reviews.jsonl", sha256: SHA, bytes: 448000 }],
output_files: [{ path: "data/evidence/2026/04/26/run.jsonl", sha256: SHA }],
record_counts: { in: 100, out: 95, filtered: 5 },
validation_pass: true,
errors: [],
warnings: [],
};
test("Receipt: positive validates", () => {
const r = validateReceipt(RECEIPT_OK);
if (!r.valid) console.error(r.errors);
expect(r.valid).toBe(true);
});
test("Receipt: bad git_sha rejected (must be 40-char hex)", () => {
const r = validateReceipt({ ...RECEIPT_OK, git_sha: "abc123" });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("git_sha"))).toBe(true);
});
test("Receipt: validation_pass must be boolean (never inferred)", () => {
const r = validateReceipt({ ...RECEIPT_OK, validation_pass: "yes" });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("validation_pass"))).toBe(true);
});
test("Receipt: file refs without proper sha256 rejected", () => {
const r = validateReceipt({ ...RECEIPT_OK, output_files: [{ path: "x", sha256: "short" }] });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("sha256"))).toBe(true);
});
// ─── Playbook ────────────────────────────────────────────────────────
const PLAYBOOK_OK = {
schema_version: PLAYBOOK_SCHEMA_VERSION,
playbook_id: "pb-scrum-review-001",
task_type: "scrum_review",
problem_pattern: "Cargo workspace warning escalation after applier patch",
useful_context: ["pathway memory bug fingerprints for the file area"],
model_routing_path: ["x-ai/grok-4.1-fast"],
commands_worked: ["cargo check --workspace"],
commands_failed: [],
validation_steps: ["warning count must not increase"],
repo_files_touched: ["crates/queryd/src/service.rs"],
recovery_strategy: "git checkout -- file when cargo red",
known_failure_modes: ["unused import noise"],
escalation_threshold: "use kimi-k2:1t when isolation mode rejects 2 attempts",
acceptance_criteria: ["cargo green", "warning count stable", "rationale-diff aligned"],
source_run_ids: ["run-xyz", "run-abc"],
created_at: NOW,
provenance: PROVENANCE,
};
test("Playbook: positive validates", () => {
const r = validatePlaybook(PLAYBOOK_OK);
if (!r.valid) console.error(r.errors);
expect(r.valid).toBe(true);
});
test("Playbook: empty source_run_ids rejected (every playbook traces to source — spec)", () => {
const r = validatePlaybook({ ...PLAYBOOK_OK, source_run_ids: [] });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("source_run_ids"))).toBe(true);
});
test("Playbook: empty acceptance_criteria rejected (every playbook needs success criteria — spec)", () => {
const r = validatePlaybook({ ...PLAYBOOK_OK, acceptance_criteria: [] });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("acceptance_criteria"))).toBe(true);
});
// ─── ScratchpadSummary ───────────────────────────────────────────────
const SCRATCHPAD_OK = {
schema_version: SCRATCHPAD_SCHEMA_VERSION,
run_id: "run-abc",
current_objective: "verify pr_audit mode end-to-end",
completed_steps: ["restart gateway"],
failed_steps: ["cloud chat returned 500"],
pending_steps: ["swap default model"],
important_paths: ["auditor/checks/inference.ts"],
decisions: ["defer kimi-k2 swap until upstream returns"],
unresolved_questions: ["does deepseek match kimi quality?"],
validation_status: "partial",
next_command: "bun run auditor/audit_one.ts 11",
source_scratchpad_hash: SHA,
summarized_at: NOW,
provenance: PROVENANCE,
};
test("ScratchpadSummary: positive validates", () => {
const r = validateScratchpadSummary(SCRATCHPAD_OK);
if (!r.valid) console.error(r.errors);
expect(r.valid).toBe(true);
});
test("ScratchpadSummary: invalid validation_status rejected", () => {
const r = validateScratchpadSummary({ ...SCRATCHPAD_OK, validation_status: "tbd" });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("validation_status"))).toBe(true);
});
test("ScratchpadSummary: short scratchpad_hash rejected", () => {
const r = validateScratchpadSummary({ ...SCRATCHPAD_OK, source_scratchpad_hash: "short" });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("source_scratchpad_hash"))).toBe(true);
});
// ─── ModelLedgerEntry ────────────────────────────────────────────────
const LEDGER_OK = {
schema_version: MODEL_LEDGER_SCHEMA_VERSION,
model_name: "kimi-k2:1t",
model_provider: "ollama_cloud",
task_type: "pr_audit",
success_rate: 0.85,
failure_modes: ["upstream_500", "context_truncation"],
best_partner_model: "x-ai/grok-4.1-fast",
escalation_role: "primary",
cost_usd_p50: 0.0002,
latency_ms_p50: 50000,
latency_ms_p95: 90000,
context_window: 200000,
sample_count: 47,
last_updated: NOW,
};
test("ModelLedgerEntry: positive validates", () => {
const r = validateModelLedgerEntry(LEDGER_OK);
if (!r.valid) console.error(r.errors);
expect(r.valid).toBe(true);
});
test("ModelLedgerEntry: success_rate > 1 rejected", () => {
const r = validateModelLedgerEntry({ ...LEDGER_OK, success_rate: 1.5 });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("success_rate"))).toBe(true);
});
test("ModelLedgerEntry: zero sample_count rejected (no aggregate from zero)", () => {
const r = validateModelLedgerEntry({ ...LEDGER_OK, sample_count: 0 });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("sample_count"))).toBe(true);
});
// ─── RagSample ───────────────────────────────────────────────────────
const RAG_OK = {
schema_version: RAG_SAMPLE_SCHEMA_VERSION,
id: "rag-pb-001",
title: "Scrum applier rationale-diff alignment",
content: "When the applier emits a patch with rationale claiming X but the diff shows Y, the rationale-token alignment gate catches it...",
tags: ["scrum_review", "applier"],
source_run_id: "run-xyz",
success_score: "accepted",
source_category: "accepted",
embedding_text: "applier rationale-diff alignment guard scrum",
created_at: NOW,
provenance: PROVENANCE,
};
test("RagSample: positive validates", () => {
const r = validateRagSample(RAG_OK);
if (!r.valid) console.error(r.errors);
expect(r.valid).toBe(true);
});
test("RagSample: success_score=rejected forbidden (RAG never takes rejected)", () => {
const r = validateRagSample({ ...RAG_OK, success_score: "rejected", source_category: "rejected" });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("success_score"))).toBe(true);
});
test("RagSample: success_score and source_category must match", () => {
const r = validateRagSample({ ...RAG_OK, success_score: "accepted", source_category: "partially_accepted" });
expect(r.valid).toBe(false);
});
test("RagSample: whitespace-only content rejected", () => {
const r = validateRagSample({ ...RAG_OK, content: " \n " });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("content"))).toBe(true);
});
// ─── SftSample (the strict one) ──────────────────────────────────────
const SFT_OK = {
schema_version: SFT_SAMPLE_SCHEMA_VERSION,
id: "sft-pr11-001",
instruction: "Audit this PR diff against ship-claims.",
context: "claims: 3 strong, 2 moderate",
response: "{\"claim_verdicts\": [...]}",
source_run_id: "run-pr11",
quality_score: "accepted",
created_at: NOW,
provenance: PROVENANCE,
};
test("SftSample: positive validates", () => {
const r = validateSftSample(SFT_OK);
if (!r.valid) console.error(r.errors);
expect(r.valid).toBe(true);
});
test("SftSample: quality_score=partially_accepted ACCEPTED (--include-partial path)", () => {
// Phase 4 update: partial allowed at schema layer; CLI gate decides.
const r = validateSftSample({ ...SFT_OK, quality_score: "partially_accepted" });
expect(r.valid).toBe(true);
});
test("SftSample: quality_score=rejected REJECTED (spec non-negotiable, no leak)", () => {
const r = validateSftSample({ ...SFT_OK, quality_score: "rejected" });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("quality_score"))).toBe(true);
});
test("SftSample: quality_score=needs_human_review REJECTED (no leak)", () => {
const r = validateSftSample({ ...SFT_OK, quality_score: "needs_human_review" });
expect(r.valid).toBe(false);
});
test("SftSample: missing context rejected (must be string, even if empty)", () => {
const fixture: Record<string, unknown> = { ...SFT_OK };
delete fixture.context;
const r = validateSftSample(fixture);
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("context"))).toBe(true);
});
test("SftSample: empty-string context allowed", () => {
const r = validateSftSample({ ...SFT_OK, context: "" });
expect(r.valid).toBe(true);
});
test("SftSample: empty response rejected (no empty pairs)", () => {
const r = validateSftSample({ ...SFT_OK, response: "" });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("response"))).toBe(true);
});
test("SftSample: whitespace-only instruction rejected", () => {
const r = validateSftSample({ ...SFT_OK, instruction: " \t\n " });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("instruction"))).toBe(true);
});
// ─── PreferenceSample ────────────────────────────────────────────────
const PREF_OK = {
schema_version: PREFERENCE_SAMPLE_SCHEMA_VERSION,
id: "pref-task-x-001",
prompt: "Verify claim: 'all 3 services running on matrix-test'",
chosen: "{\"backed\": true, \"evidence\": \"systemctl status confirms 3 active\"}",
rejected: "{\"backed\": true, \"evidence\": \"the README says so\"}",
reason: "chosen cites runtime evidence, rejected cites doc claim only",
chosen_run_id: "run-A",
rejected_run_id: "run-B",
created_at: NOW,
provenance: PROVENANCE,
};
test("PreferenceSample: positive validates", () => {
const r = validatePreferenceSample(PREF_OK);
if (!r.valid) console.error(r.errors);
expect(r.valid).toBe(true);
});
test("PreferenceSample: chosen == rejected rejected (no self-pairing)", () => {
const r = validatePreferenceSample({ ...PREF_OK, chosen: "x", rejected: "x" });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("chosen and rejected"))).toBe(true);
});
test("PreferenceSample: chosen_run_id == rejected_run_id rejected (no self-disagreement)", () => {
const r = validatePreferenceSample({ ...PREF_OK, chosen_run_id: "run-A", rejected_run_id: "run-A" });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("chosen_run_id"))).toBe(true);
});
test("PreferenceSample: empty reason rejected (every preference needs WHY)", () => {
const r = validatePreferenceSample({ ...PREF_OK, reason: " " });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("reason"))).toBe(true);
});
@@ -1,86 +0,0 @@
// ScoredRun — output of the deterministic Success Scorer (Phase 3).
// Spec mandates 4 categories with explicit reasons; we add scorer
// versioning so a future scorer change is detectable in historical data.
import {
ValidationResult, requireString, requireIsoTimestamp, requireProvenance, requireStringArray, requireNumber,
} from "./types";
export const SCORED_RUN_SCHEMA_VERSION = 1;
export const SCORE_CATEGORIES = ["accepted", "partially_accepted", "rejected", "needs_human_review"] as const;
export type ScoreCategory = (typeof SCORE_CATEGORIES)[number];
export interface ScoredRun {
schema_version: number;
evidence_run_id: string; // FK to EvidenceRecord.run_id
evidence_task_id: string; // FK to EvidenceRecord.task_id
category: ScoreCategory;
reasons: string[]; // human-readable, e.g. ["cargo_green=true", "anchor_grounding<0.7"]
scored_at: string; // ISO 8601
scorer_version: string; // e.g. "v1.0.0" — bumped on scorer code change
// Sub-scores that the scorer collapsed into the category. Persisted
// so a downstream UI can show "why" without re-running the scorer.
sub_scores?: {
cargo_green?: boolean;
anchor_grounding?: number;
schema_valid?: boolean;
pathway_replay_succeeded?: boolean;
observer_verdict?: "accept" | "reject" | "cycle";
[key: string]: unknown;
};
provenance: {
source_file: string;
line_offset?: number;
sig_hash: string;
recorded_at: string;
};
}
export function validateScoredRun(input: unknown): ValidationResult<ScoredRun> {
const errors: string[] = [];
if (typeof input !== "object" || input === null) {
return { valid: false, errors: ["expected object"] };
}
const r = input as Record<string, unknown>;
let ok = true;
if (r.schema_version !== SCORED_RUN_SCHEMA_VERSION) {
errors.push(`schema_version: expected ${SCORED_RUN_SCHEMA_VERSION}, got ${JSON.stringify(r.schema_version)}`);
ok = false;
}
ok = requireString(r.evidence_run_id, "evidence_run_id", errors) && ok;
ok = requireString(r.evidence_task_id, "evidence_task_id", errors) && ok;
ok = requireIsoTimestamp(r.scored_at, "scored_at", errors) && ok;
ok = requireString(r.scorer_version, "scorer_version", errors) && ok;
ok = requireStringArray(r.reasons, "reasons", errors) && ok;
if (Array.isArray(r.reasons) && r.reasons.length === 0) {
errors.push("reasons: must be non-empty (every score must have at least one reason)");
ok = false;
}
if (!SCORE_CATEGORIES.includes(r.category as ScoreCategory)) {
errors.push(`category: must be one of ${SCORE_CATEGORIES.join("|")}, got ${JSON.stringify(r.category)}`);
ok = false;
}
ok = requireProvenance(r.provenance, "provenance", errors) && ok;
if (r.sub_scores !== undefined) {
if (typeof r.sub_scores !== "object" || r.sub_scores === null) {
errors.push("sub_scores: expected object when present");
ok = false;
} else {
const ss = r.sub_scores as Record<string, unknown>;
if (ss.anchor_grounding !== undefined) {
if (!requireNumber(ss.anchor_grounding, "sub_scores.anchor_grounding", errors)) ok = false;
else if ((ss.anchor_grounding as number) < 0 || (ss.anchor_grounding as number) > 1) {
errors.push("sub_scores.anchor_grounding: must be in [0, 1]");
ok = false;
}
}
if (ss.observer_verdict !== undefined && !["accept", "reject", "cycle"].includes(ss.observer_verdict as string)) {
errors.push("sub_scores.observer_verdict: must be accept|reject|cycle");
ok = false;
}
}
}
if (!ok) return { valid: false, errors };
return { valid: true, value: r as unknown as ScoredRun };
}
@@ -1,65 +0,0 @@
// ScratchpadSummary — structured normalization of a tree-split or
// long-running scratchpad. Distinct from EvidenceRecord because a
// scratchpad accumulates across many calls; this schema captures the
// state at a checkpoint moment.
import {
ValidationResult, requireString, requireIsoTimestamp, requireProvenance, requireStringArray,
} from "./types";
export const SCRATCHPAD_SCHEMA_VERSION = 1;
export interface ScratchpadSummary {
schema_version: number;
run_id: string;
current_objective: string;
completed_steps: string[];
failed_steps: string[];
pending_steps: string[];
important_paths: string[]; // file paths the scratchpad references
decisions: string[]; // architectural/scope decisions made
unresolved_questions: string[];
validation_status: "pass" | "fail" | "partial" | "pending";
next_command?: string; // recommendation for next action
source_scratchpad_hash: string; // sha256 of the full source scratchpad text — diff detection
summarized_at: string; // ISO 8601
provenance: { source_file: string; line_offset?: number; sig_hash: string; recorded_at: string };
}
const STATUS = ["pass", "fail", "partial", "pending"];
export function validateScratchpadSummary(input: unknown): ValidationResult<ScratchpadSummary> {
const errors: string[] = [];
if (typeof input !== "object" || input === null) return { valid: false, errors: ["expected object"] };
const r = input as Record<string, unknown>;
let ok = true;
if (r.schema_version !== SCRATCHPAD_SCHEMA_VERSION) {
errors.push(`schema_version: expected ${SCRATCHPAD_SCHEMA_VERSION}, got ${JSON.stringify(r.schema_version)}`);
ok = false;
}
ok = requireString(r.run_id, "run_id", errors) && ok;
ok = requireString(r.current_objective, "current_objective", errors) && ok;
ok = requireIsoTimestamp(r.summarized_at, "summarized_at", errors) && ok;
if (typeof r.source_scratchpad_hash !== "string" || !/^[0-9a-f]{64}$/.test(r.source_scratchpad_hash as string)) {
errors.push("source_scratchpad_hash: must be hex sha256");
ok = false;
}
ok = requireStringArray(r.completed_steps, "completed_steps", errors) && ok;
ok = requireStringArray(r.failed_steps, "failed_steps", errors) && ok;
ok = requireStringArray(r.pending_steps, "pending_steps", errors) && ok;
ok = requireStringArray(r.important_paths, "important_paths", errors) && ok;
ok = requireStringArray(r.decisions, "decisions", errors) && ok;
ok = requireStringArray(r.unresolved_questions, "unresolved_questions", errors) && ok;
if (!STATUS.includes(r.validation_status as string)) {
errors.push(`validation_status: must be one of ${STATUS.join("|")}`);
ok = false;
}
if (r.next_command !== undefined && typeof r.next_command !== "string") {
errors.push("next_command: expected string when present");
ok = false;
}
ok = requireProvenance(r.provenance, "provenance", errors) && ok;
if (!ok) return { valid: false, errors };
return { valid: true, value: r as unknown as ScratchpadSummary };
}
@@ -1,69 +0,0 @@
// SftSample — entry in exports/sft/instruction_response.jsonl. Spec
// non-negotiable: ONLY accepted runs, never partial/rejected/needs_human.
// Validator enforces that invariant — exporters can't bypass.
import {
ValidationResult, requireString, requireIsoTimestamp, requireProvenance, requireNumber,
} from "./types";
export const SFT_SAMPLE_SCHEMA_VERSION = 1;
// SFT default: only `accepted` ships. With --include-partial CLI flag,
// `partially_accepted` becomes legal. `rejected` and `needs_human_review`
// NEVER ship to SFT — that's the contamination firewall.
export const SFT_QUALITY_SCORES = ["accepted", "partially_accepted"] as const;
export type SftQualityScore = (typeof SFT_QUALITY_SCORES)[number];
export interface SftSample {
schema_version: number;
id: string;
instruction: string; // the prompt / user message
context: string; // retrieved context that was visible (empty string allowed; null/undefined not)
response: string; // the model output that was accepted
source_run_id: string;
quality_score: SftQualityScore;
created_at: string;
provenance: { source_file: string; line_offset?: number; sig_hash: string; recorded_at: string };
}
export function validateSftSample(input: unknown): ValidationResult<SftSample> {
const errors: string[] = [];
if (typeof input !== "object" || input === null) return { valid: false, errors: ["expected object"] };
const r = input as Record<string, unknown>;
let ok = true;
if (r.schema_version !== SFT_SAMPLE_SCHEMA_VERSION) {
errors.push(`schema_version: expected ${SFT_SAMPLE_SCHEMA_VERSION}, got ${JSON.stringify(r.schema_version)}`);
ok = false;
}
ok = requireString(r.id, "id", errors) && ok;
ok = requireString(r.instruction, "instruction", errors) && ok;
ok = requireString(r.response, "response", errors) && ok;
ok = requireString(r.source_run_id, "source_run_id", errors) && ok;
ok = requireIsoTimestamp(r.created_at, "created_at", errors) && ok;
ok = requireProvenance(r.provenance, "provenance", errors) && ok;
// Empty pair guard.
if (typeof r.instruction === "string" && (r.instruction as string).trim().length === 0) {
errors.push("instruction: must be non-whitespace (no empty pairs)");
ok = false;
}
if (typeof r.response === "string" && (r.response as string).trim().length === 0) {
errors.push("response: must be non-whitespace (no empty pairs)");
ok = false;
}
// Context is required-string but empty is allowed (some SFT samples
// are pure instruction→response with no retrieval context).
if (typeof r.context !== "string") {
errors.push("context: expected string (use empty string for no-context samples)");
ok = false;
}
// The non-negotiable: SFT samples MUST have quality_score in
// SFT_QUALITY_SCORES. Anything else is a leak.
if (!SFT_QUALITY_SCORES.includes(r.quality_score as SftQualityScore)) {
errors.push(`quality_score: must be one of ${SFT_QUALITY_SCORES.join("|")} (no rejected/needs_human leak into SFT — spec non-negotiable). Got ${JSON.stringify(r.quality_score)}`);
ok = false;
}
if (!ok) return { valid: false, errors };
return { valid: true, value: r as unknown as SftSample };
}
@@ -1,190 +0,0 @@
// stage_receipt.ts — forensic-grade per-stage receipt.
//
// Distinct from auditor/schemas/distillation/receipt.ts (Phase 1):
// - Phase 1 Receipt is per-script invocation, format inherited from
// the early auditor wiring
// - StageReceipt (THIS file) matches the now.md Phase 5 spec exactly
// and is the canonical artifact for pipeline observability
//
// Every pipeline stage (collect, score, export-rag, export-sft,
// export-preference, future extract-playbooks/index) emits ONE
// StageReceipt per run. Receipts are joined by `run_id` (shared
// across all stages of a single `run-all` invocation) so a future
// query can aggregate across the whole pipeline.
import {
ValidationResult, requireString, requireNumber, requireIsoTimestamp, requireSha256,
requireStringArray,
} from "./types";
export const STAGE_RECEIPT_SCHEMA_VERSION = 1;
export const STAGE_NAMES = [
"collect", // build_evidence_index — materialize source jsonls → EvidenceRecord
"score", // score_runs — EvidenceRecord → ScoredRun
"export-rag", // exports/rag/playbooks.jsonl
"export-sft", // exports/sft/instruction_response.jsonl
"export-preference",// exports/preference/chosen_rejected.jsonl
// Reserved for future stages — accept them in the schema so a stage
// can be added without bumping schema_version.
"extract-playbooks",
"index",
] as const;
export type StageName = (typeof STAGE_NAMES)[number];
export interface StageFileRef {
path: string; // relative to repo root
sha256: string; // 64-char hex
bytes?: number;
record_count?: number; // line count for jsonl, when meaningful
}
export interface StageIO {
files: StageFileRef[];
record_count: number;
hash: string; // 64-char hex — aggregate over all file hashes (sorted)
}
export interface StageStats {
accepted: number; // rows that ended up in the stage's output
rejected: number; // explicit category=rejected (Score), invalid pairs (Preference), etc.
quarantined: number; // routed to exports/quarantine/* with structured reason
skipped: number; // parse failures, schema violations at write time
}
export interface StageValidation {
passed: boolean; // explicit boolean — never inferred (spec non-negotiable)
errors: string[];
warnings: string[];
}
export interface StageReceipt {
schema_version: number;
run_id: string; // shared across all stages of one pipeline run
stage: StageName;
timestamp: string; // ISO 8601 — stage start
git_commit: string; // 40-char hex
inputs: StageIO;
outputs: StageIO;
stats: StageStats;
validation: StageValidation;
duration_ms: number;
}
function validateStageIO(v: unknown, field: string, errors: string[]): boolean {
if (typeof v !== "object" || v === null) {
errors.push(`${field}: expected object`);
return false;
}
const io = v as Record<string, unknown>;
let ok = true;
if (!Array.isArray(io.files)) {
errors.push(`${field}.files: expected array`);
ok = false;
} else {
for (let i = 0; i < io.files.length; i++) {
const f = io.files[i] as Record<string, unknown>;
if (typeof f !== "object" || f === null) {
errors.push(`${field}.files[${i}]: expected object`);
ok = false;
continue;
}
ok = requireString(f.path, `${field}.files[${i}].path`, errors) && ok;
ok = requireSha256(f.sha256, `${field}.files[${i}].sha256`, errors) && ok;
if (f.bytes !== undefined && typeof f.bytes !== "number") {
errors.push(`${field}.files[${i}].bytes: expected number when present`);
ok = false;
}
if (f.record_count !== undefined && typeof f.record_count !== "number") {
errors.push(`${field}.files[${i}].record_count: expected number when present`);
ok = false;
}
}
}
ok = requireNumber(io.record_count, `${field}.record_count`, errors) && ok;
ok = requireSha256(io.hash, `${field}.hash`, errors) && ok;
return ok;
}
export function validateStageReceipt(input: unknown): ValidationResult<StageReceipt> {
const errors: string[] = [];
if (typeof input !== "object" || input === null) {
return { valid: false, errors: ["expected object"] };
}
const r = input as Record<string, unknown>;
let ok = true;
if (r.schema_version !== STAGE_RECEIPT_SCHEMA_VERSION) {
errors.push(`schema_version: expected ${STAGE_RECEIPT_SCHEMA_VERSION}, got ${JSON.stringify(r.schema_version)}`);
ok = false;
}
ok = requireString(r.run_id, "run_id", errors) && ok;
if (typeof r.run_id === "string" && r.run_id.length < 8) {
errors.push("run_id: too short — expect uuid-like");
ok = false;
}
if (typeof r.stage !== "string" || !STAGE_NAMES.includes(r.stage as StageName)) {
errors.push(`stage: must be one of ${STAGE_NAMES.join("|")}`);
ok = false;
}
ok = requireIsoTimestamp(r.timestamp, "timestamp", errors) && ok;
if (typeof r.git_commit !== "string" || !/^[0-9a-f]{40}$/.test(r.git_commit as string)) {
errors.push("git_commit: must be 40-char hex");
ok = false;
}
if (typeof r.duration_ms !== "number") {
errors.push("duration_ms: expected number");
ok = false;
}
if (typeof r.inputs !== "object" || r.inputs === null) {
errors.push("inputs: expected object");
ok = false;
} else {
ok = validateStageIO(r.inputs, "inputs", errors) && ok;
}
if (typeof r.outputs !== "object" || r.outputs === null) {
errors.push("outputs: expected object");
ok = false;
} else {
ok = validateStageIO(r.outputs, "outputs", errors) && ok;
}
if (typeof r.stats !== "object" || r.stats === null) {
errors.push("stats: expected object");
ok = false;
} else {
const s = r.stats as Record<string, unknown>;
for (const k of ["accepted", "rejected", "quarantined", "skipped"]) {
if (typeof s[k] !== "number") { errors.push(`stats.${k}: expected number`); ok = false; }
}
}
if (typeof r.validation !== "object" || r.validation === null) {
errors.push("validation: expected object");
ok = false;
} else {
const v = r.validation as Record<string, unknown>;
if (typeof v.passed !== "boolean") {
errors.push("validation.passed: must be boolean (explicit, never inferred)");
ok = false;
}
if (!Array.isArray(v.errors)) { errors.push("validation.errors: expected array"); ok = false; }
if (!Array.isArray(v.warnings)) { errors.push("validation.warnings: expected array"); ok = false; }
if (Array.isArray(v.errors)) ok = requireStringArray(v.errors, "validation.errors", errors) && ok;
if (Array.isArray(v.warnings)) ok = requireStringArray(v.warnings, "validation.warnings", errors) && ok;
}
if (!ok) return { valid: false, errors };
return { valid: true, value: r as unknown as StageReceipt };
}
// Compute the canonical aggregate hash over a list of file refs.
// Sorted by path so order-of-iteration doesn't drift the hash.
// Each entry contributes "<path>|<sha256>|<record_count>" so two
// files with identical content but different paths produce distinct
// digests (real difference = real hash difference).
export async function aggregateIoHash(files: StageFileRef[]): Promise<string> {
const sorted = [...files].sort((a, b) => a.path.localeCompare(b.path));
const parts = sorted.map(f => `${f.path}|${f.sha256}|${f.record_count ?? 0}`);
const h = new Bun.CryptoHasher("sha256");
h.update(parts.join("\n"));
return h.digest("hex");
}
-141
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@@ -1,141 +0,0 @@
// Shared types for distillation schemas. Hand-rolled validators (no Zod
// dependency) — bun:test runs them; runtime cost is one tiny function
// per record. Pattern: each schema exports `validate(x): ValidationResult`
// returning `{valid: true, value}` or `{valid: false, errors}`.
//
// Why hand-rolled: the auditor + scrum + observer pipelines emit JSONL
// rows in shapes that already work; we want to ENFORCE those shapes
// without adding a 100KB dependency or rewriting producers. The
// validators codify what we already produce.
//
// Naming: schemas live as nouns (`EvidenceRecord`), validators as
// `validate<Noun>`. Each schema file exports both the type and the
// validator.
export interface Provenance {
// Path to the JSONL or other source where this row came from. Always
// relative to /home/profit/lakehouse so receipts are reproducible
// across deploys with the same repo layout.
source_file: string;
// Optional byte offset / line number into the source file. Lets a
// future "open the source row" UI jump directly to the line. Some
// sources (single-row JSON files like _playbook_lessons/*.json) don't
// need this.
line_offset?: number;
// SHA-256 of the canonical JSON of the source row (sorted keys, no
// whitespace). This is the dedup key — running distillation twice on
// the same source produces identical sig_hash, so duplicates are
// detectable without full row comparison.
sig_hash: string;
// ISO 8601 of when this provenance link was recorded — usually the
// moment the unified Evidence Index ran. Distinct from the source
// row's own timestamp, which lives on the EvidenceRecord itself.
recorded_at: string;
}
// Returned by every schema validator. The shape is `{valid: true, value}`
// for success (so callers can use `value` with the right type narrowed)
// or `{valid: false, errors}` for failure (so callers can surface
// every error at once, not just the first).
export type ValidationResult<T> =
| { valid: true; value: T }
| { valid: false; errors: string[] };
// Standard helpers used by every schema. Centralized so naming +
// error message format stay consistent across schemas.
export function requireString(v: unknown, field: string, errors: string[]): v is string {
if (typeof v !== "string") {
errors.push(`${field}: expected string, got ${typeof v}`);
return false;
}
if (v.length === 0) {
errors.push(`${field}: must be non-empty`);
return false;
}
return true;
}
export function requireNumber(v: unknown, field: string, errors: string[]): v is number {
if (typeof v !== "number" || !Number.isFinite(v)) {
errors.push(`${field}: expected finite number, got ${typeof v}`);
return false;
}
return true;
}
export function requireIsoTimestamp(v: unknown, field: string, errors: string[]): v is string {
if (!requireString(v, field, errors)) return false;
// Permissive ISO 8601: YYYY-MM-DDTHH:MM:SS(.fraction)?(Z|±HH:MM)?
const re = /^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}(?:\.\d+)?(?:Z|[+-]\d{2}:?\d{2})?$/;
if (!re.test(v as string)) {
errors.push(`${field}: not a valid ISO 8601 timestamp: ${(v as string).slice(0, 60)}`);
return false;
}
return true;
}
export function requireSha256(v: unknown, field: string, errors: string[]): v is string {
if (!requireString(v, field, errors)) return false;
if (!/^[0-9a-f]{64}$/.test(v as string)) {
errors.push(`${field}: not a valid hex sha256: ${(v as string).slice(0, 80)}`);
return false;
}
return true;
}
export function requireProvenance(v: unknown, field: string, errors: string[]): v is Provenance {
if (typeof v !== "object" || v === null) {
errors.push(`${field}: expected object, got ${v === null ? "null" : typeof v}`);
return false;
}
const p = v as Record<string, unknown>;
let ok = true;
ok = requireString(p.source_file, `${field}.source_file`, errors) && ok;
ok = requireSha256(p.sig_hash, `${field}.sig_hash`, errors) && ok;
ok = requireIsoTimestamp(p.recorded_at, `${field}.recorded_at`, errors) && ok;
if (p.line_offset !== undefined && typeof p.line_offset !== "number") {
errors.push(`${field}.line_offset: expected number when present`);
ok = false;
}
return ok;
}
export function requireStringArray(v: unknown, field: string, errors: string[]): v is string[] {
if (!Array.isArray(v)) {
errors.push(`${field}: expected array, got ${typeof v}`);
return false;
}
for (let i = 0; i < v.length; i++) {
if (typeof v[i] !== "string") {
errors.push(`${field}[${i}]: expected string, got ${typeof v[i]}`);
return false;
}
}
return true;
}
// Compute the canonical sha256 used for sig_hash. Sorts keys so the
// hash is stable regardless of producer's serialization order. Uses
// Bun.CryptoHasher (sync, fast) rather than node:crypto — matches the
// rest of the auditor.
export async function canonicalSha256(obj: unknown): Promise<string> {
const ordered = orderKeys(obj);
const json = JSON.stringify(ordered);
const hasher = new Bun.CryptoHasher("sha256");
hasher.update(json);
return hasher.digest("hex");
}
function orderKeys(v: unknown): unknown {
if (v === null || typeof v !== "object") return v;
if (Array.isArray(v)) return v.map(orderKeys);
const out: Record<string, unknown> = {};
for (const k of Object.keys(v as object).sort()) {
out[k] = orderKeys((v as Record<string, unknown>)[k]);
}
return out;
}
+2 -9
View File
@@ -2,7 +2,7 @@
// if something can't be verified from a check, it goes into `evidence`
// so the verdict is inspectable, not a black box.
export type CheckKind = "static" | "dynamic" | "inference" | "kb_query" | "kimi_architect";
export type CheckKind = "static" | "dynamic" | "inference" | "kb_query";
export type Severity = "info" | "warn" | "block";
@@ -18,14 +18,7 @@ export interface Claim {
// Heuristic rating of how strong the claim is. "green+tested"
// is strong; "should work" is weak. Drives sensitivity — stronger
// claims get harder-blocked on weak evidence.
//
// "empirical" is a separate class: runtime measurements like
// "N cloud calls" / "306s end-to-end" / "accepted on attempt N".
// These cannot be verified from a static diff — only from the test
// output that produced them. Inference skips diff-verification for
// empirical claims; they become info-level context unless a future
// runtime_evidence check contradicts them.
strength: "weak" | "moderate" | "strong" | "empirical";
strength: "weak" | "moderate" | "strong";
}
export interface Finding {
+7 -17
View File
@@ -13,17 +13,10 @@ import { readFile } from "node:fs/promises";
import { createHash } from "node:crypto";
import type { Gap, Proposal } from "./types.ts";
// Phase 44 migration (2026-04-27): bot/propose.ts now flows through
// the gateway's /v1/chat instead of hitting the sidecar's /generate
// directly. /v1/usage tracks the call, Langfuse traces it, observer
// sees it. Gateway owns the routing.
//
// 2026-04-28: gpt-oss:120b → deepseek-v3.2 via Ollama Pro. Newer
// DeepSeek revision, faster, still on the same OLLAMA_CLOUD_KEY.
const GATEWAY_URL = process.env.LH_GATEWAY_URL ?? "http://localhost:3100";
const SIDECAR_URL = process.env.LH_SIDECAR_URL ?? "http://localhost:3200";
const REPO_ROOT = "/home/profit/lakehouse";
const PRD_PATH = `${REPO_ROOT}/docs/PRD.md`;
const CLOUD_MODEL = process.env.LH_BOT_MODEL ?? "deepseek-v3.2";
const CLOUD_MODEL = process.env.LH_BOT_MODEL ?? "gpt-oss:120b";
const MAX_TOKENS = 6000;
export async function findGaps(): Promise<Gap[]> {
@@ -79,16 +72,13 @@ export async function generateProposal(gap: Gap, historySummary: string = ""): P
sections.push("Propose a small change that addresses this gap. Respond with the JSON object only.");
const userPrompt = sections.join("\n");
const r = await fetch(`${GATEWAY_URL}/v1/chat`, {
const r = await fetch(`${SIDECAR_URL}/generate`, {
method: "POST",
headers: { "content-type": "application/json" },
body: JSON.stringify({
model: CLOUD_MODEL,
provider: "ollama_cloud",
messages: [
{ role: "system", content: SYSTEM_PROMPT },
{ role: "user", content: userPrompt },
],
system: SYSTEM_PROMPT,
prompt: userPrompt,
temperature: 0.2,
max_tokens: MAX_TOKENS,
think: false,
@@ -96,10 +86,10 @@ export async function generateProposal(gap: Gap, historySummary: string = ""): P
signal: AbortSignal.timeout(180000), // cloud T3 can be slow — 3 min
});
if (!r.ok) {
throw new Error(`gateway /v1/chat ${r.status}: ${await r.text()}`);
throw new Error(`sidecar ${r.status}: ${await r.text()}`);
}
const j = await r.json() as any;
const raw: string = j?.choices?.[0]?.message?.content ?? "";
const raw: string = j.text ?? j.response ?? "";
const usage = j.usage ?? {};
const tokens = (usage.prompt_tokens ?? 0) + (usage.completion_tokens ?? 0);
-89
View File
@@ -1,89 +0,0 @@
# Mode router config — task_class → mode mapping
#
# `preferred_mode` is the first choice for a task class; `fallback_modes`
# get tried in order if the preferred one isn't available (LLM Team can
# return Unknown mode for some, OR the matrix has stronger signal for a
# fallback). `default_model` seeds the mode runner's model field if the
# caller doesn't override.
#
# Modes are dispatched against LLM Team UI (localhost:5000/api/run) for
# now; future Rust-native runners will short-circuit before the proxy.
# See crates/gateway/src/v1/mode.rs for the dispatch path.
[[task_class]]
name = "scrum_review"
# 2026-04-26 pass5 variance test (5 reps × 4 conditions, grok-4.1-fast,
# pathway_memory.rs): composed corpus LOST 5/5 vs isolation (Δ −1.8
# grounded findings, p=0.031). See docs/MODE_RUNNER_TUNING_PLAN.md.
# Default is now isolation — bug fingerprints + adversarial framing +
# file content carries strong models without matrix noise. The
# `codereview_lakehouse` matrix path remains available via force_mode
# (auto-downgrades to isolation on strong models — see the
# is_strong_model gate in crates/gateway/src/v1/mode.rs).
preferred_mode = "codereview_isolation"
fallback_modes = ["codereview_lakehouse", "codereview", "consensus", "ladder"]
default_model = "qwen3-coder:480b"
# Corpora kept defined so experimental modes (codereview_matrix_only,
# pass2/pass5 sweeps) and weak-model rescue rungs can still pull them.
# scrum_findings_v1 is built but EXCLUDED — bake-off showed 24% OOB
# line citations from cross-file drift, only safe with same-file gating.
matrix_corpus = ["lakehouse_arch_v1", "lakehouse_symbols_v1"]
[[task_class]]
name = "contract_analysis"
preferred_mode = "deep_analysis"
fallback_modes = ["research", "extract"]
default_model = "kimi-k2:1t"
matrix_corpus = "chicago_permits_v1"
[[task_class]]
name = "staffing_inference"
# Staffing-domain native enrichment runner — Pass 4 (2026-04-26).
# Same composer architecture as codereview_lakehouse but with staffing
# framing + workers corpus.
preferred_mode = "staffing_inference_lakehouse"
fallback_modes = ["ladder", "consensus", "pipeline"]
# 2026-05-03: REVERTED to local. PRD line 70 — everything runs locally,
# no cloud APIs on the customer hot path. Cloud models stay available
# in providers.toml for explicit dev-tool opt-in (scrum, auditor).
default_model = "qwen3.5:latest"
matrix_corpus = "workers_500k_v8"
[[task_class]]
name = "fact_extract"
preferred_mode = "extract"
fallback_modes = ["distill"]
default_model = "qwen2.5"
matrix_corpus = "kb_team_runs_v1"
[[task_class]]
name = "doc_drift_check"
preferred_mode = "drift"
fallback_modes = ["validator"]
# 2026-05-03: REVERTED to local per PRD line 70.
default_model = "qwen3.5:latest"
matrix_corpus = "distilled_factual_v20260423095819"
[[task_class]]
name = "pr_audit"
# Auditor's claim-vs-diff verification mode (2026-04-26 rebuild).
# Replaces the auditor's hand-rolled inference check with the mode-runner
# composer: pathway memory (PR-level patterns) + lakehouse_answers_v1
# corpus (prior accepted reviews + observer escalations) + adversarial
# JSON-shaped framing. Default model is paid Ollama Cloud kimi-k2:1t for
# strong claim-grounding; tie-breaker via auditor-side env override.
preferred_mode = "pr_audit"
fallback_modes = ["consensus", "ladder"]
# kimi-k2:1t broken upstream 2026-04-27 (Ollama Cloud 500 ISE, multi-hour
# sustained outage verified by repeated probes). deepseek-v3.1:671b is
# the drop-in substitute — proven working end-to-end through pr_audit
# during Phase 5 distillation acceptance testing.
default_model = "deepseek-v3.1:671b"
matrix_corpus = "lakehouse_answers_v1"
# Fallback when task_class isn't in the table — useful for ad-hoc calls
# during development that don't yet have a mapped mode.
[default]
preferred_mode = "pipeline"
fallback_modes = ["consensus", "ladder"]
default_model = "qwen3.5:latest"
-106
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@@ -1,106 +0,0 @@
# 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:11434"
auth = "none"
default_model = "qwen3.5:latest"
# Hot-path local inference. No bearer needed — direct to Ollama as of
# 2026-05-02 (Python sidecar's pass-through wrapper retired). 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 = "deepseek-v3.2"
# Cloud-tier Ollama (Pro plan as of 2026-04-28). Key resolved from
# OLLAMA_CLOUD_KEY at gateway boot; Pro tier upgraded the account so
# rate limits + model access widen without a key change. Model-prefix
# routing: "cloud/<model>" auto-routes here. 39-model fleet now
# includes deepseek-v3.2, deepseek-v4-{flash,pro}, gemini-3-flash-
# preview, glm-{5,5.1}, kimi-k2.6, qwen3-coder-next.
# 2026-04-28: default upgraded gpt-oss:120b → deepseek-v3.2 (newest
# DeepSeek revision). NOTE: kimi-k2:1t is upstream-broken (HTTP 500
# on Ollama Pro probe 2026-04-28) — do not route to it. Use kimi-k2.6
# instead, which is what staffing_inference points at.
[[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 = "x-ai/grok-4.1-fast"
# 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.
[[provider]]
name = "opencode"
base_url = "https://opencode.ai/zen/v1"
# Unified endpoint — covers BOTH Zen (pay-per-token Anthropic/OpenAI/
# Gemini frontier) AND Go (flat-sub Kimi/GLM/DeepSeek/Qwen/Minimax).
# Upstream bills per-model: Zen models hit Zen balance, Go models hit
# Go subscription cap. /zen/go/v1 is the Go-only sub-path (rejects
# Zen models), kept for reference but not used by this provider.
auth = "bearer"
auth_env = "OPENCODE_API_KEY"
default_model = "claude-opus-4-7"
# OpenCode (Zen + GO unified endpoint). One sk-* key reaches Claude
# Opus 4.7, GPT-5.5-pro, Gemini 3.1-pro, Kimi K2.6, DeepSeek, GLM,
# Qwen, plus 4 free-tier models. OpenAI-compatible Chat Completions
# at /v1/chat/completions. Model-prefix routing: "opencode/<name>"
# auto-routes here, prefix stripped before upstream call.
# Key file: /etc/lakehouse/opencode.env (loaded via systemd EnvironmentFile).
# Model catalog: curl -H "Authorization: Bearer ..." https://opencode.ai/zen/v1/models
# Note: /zen/go/v1 is the GO-only sub-path (Kimi/GLM/DeepSeek tier);
# /zen/v1 covers everything including Anthropic (which /zen/go/v1 rejects).
[[provider]]
name = "kimi"
base_url = "https://api.kimi.com/coding/v1"
auth = "bearer"
auth_env = "KIMI_API_KEY"
default_model = "kimi-for-coding"
# Direct Kimi For Coding provider. `api.kimi.com` is a SEPARATE account
# system from `api.moonshot.ai` and `api.moonshot.cn` — keys are NOT
# interchangeable. Used as a fallback when Ollama Cloud's kimi-k2.6 is
# unavailable and OpenRouter's `moonshotai/kimi-k2.6` is rate-limited.
# (Was `kimi-k2:1t` here pre-2026-05-03 — that model is upstream-broken
# and removed from operator guidance.)
# Model id: `kimi-for-coding` (kimi-k2.6 underneath).
# Key file: /etc/lakehouse/kimi.env (loaded via systemd EnvironmentFile).
# Model-prefix routing: "kimi/<model>" auto-routes here, prefix stripped.
# 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"
-61
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@@ -1,61 +0,0 @@
# Phase 40: Routing Engine Configuration
#
# Human-editable rules for model → provider routing.
# Matching order: first match wins.
[[rule]]
model_pattern = "gpt-4*"
provider = "openrouter"
max_tokens = 4096
temperature = 0.7
[[rule]]
model_pattern = "claude*"
provider = "claude"
max_tokens = 4096
temperature = 0.7
[[rule]]
model_pattern = "gemini*"
provider = "gemini"
max_tokens = 8192
temperature = 0.9
[[rule]]
model_pattern = "qwen3.5*"
provider = "ollama"
max_tokens = 4096
temperature = 0.3
[[rule]]
model_pattern = "qwen3*"
provider = "ollama"
max_tokens = 2048
temperature = 0.3
[[rule]]
model_pattern = "gpt-oss*"
provider = "ollama"
temperature = 0.1
[[rule]]
model_pattern = "*"
provider = "ollama"
temperature = 0.5
# Fallback chain: if primary fails, try these in order
fallback = ["ollama", "openrouter"]
# Cost gating (tokens = cents per 1M)
[cost]
ollama = 0
openrouter = 15
claude = 15
gemini = 0
# Daily budget per provider (cents)
[daily_budget]
ollama = 0
openrouter = 1000
claude = 500
gemini = 0
-2
View File
@@ -11,5 +11,3 @@ serde = { workspace = true }
serde_json = { workspace = true }
tracing = { workspace = true }
reqwest = { version = "0.12", default-features = false, features = ["json", "rustls-tls"] }
async-trait = "0.1"
lru = "0.12"
+32 -488
View File
@@ -1,74 +1,12 @@
use lru::LruCache;
use reqwest::Client;
use serde::{Deserialize, Serialize};
use std::num::NonZeroUsize;
use std::sync::Mutex;
use std::sync::atomic::{AtomicU64, Ordering};
use std::sync::Arc;
use std::time::Duration;
/// HTTP client for Ollama (post-2026-05-02 — sidecar dropped).
///
/// `base_url` was historically the Python sidecar at `:3200`, which
/// pass-through-proxied to Ollama at `:11434`. The sidecar added zero
/// logic on the hot path (embed.py + generate.py + rerank.py +
/// admin.py = ~120 LOC of pure Ollama wrappers), so this client now
/// talks to Ollama directly and the sidecar process can be retired.
///
/// What stayed Python: `lab_ui.py` + `pipeline_lab.py` (~888 LOC of
/// dev-mode Streamlit-shape UIs) — those aren't on the runtime hot
/// path and continue running for prompt experimentation.
///
/// `generate()` has two transport modes:
/// - When `gateway_url` is None (default), posts directly to Ollama's
/// `${base_url}/api/generate`.
/// - When `gateway_url` is `Some(url)`, posts to `${url}/v1/chat`
/// with `provider="ollama"` so the call appears in `/v1/usage` and
/// Langfuse traces.
///
/// `embed()`, `rerank()`, and admin methods always go direct to
/// Ollama — no `/v1` equivalent for those surfaces yet.
///
/// Phase 44 part 2 (2026-04-27): the gateway URL is wired in by
/// callers that want observability (vectord modules); it's left
/// unset by callers that ARE the gateway internals (avoids self-loops
/// + redundant hops).
/// Per-text embed cache key. We key on (model, text) so different
/// model selections produce distinct cache lines — a query embedded
/// under nomic-embed-text-v2-moe must NOT collide with the same
/// query under nomic-embed-text v1.
#[derive(Eq, PartialEq, Hash, Clone)]
struct EmbedCacheKey {
model: String,
text: String,
}
/// Default LRU cache size — 4096 entries × ~6KB per 768-d f64
/// vector ≈ 24MB. Sized for typical staffing-domain repetition
/// (coordinator workflows have query repetition rates around 70-90%
/// per session). Tunable via [aibridge].embed_cache_size in the
/// config; 0 disables the cache entirely.
const DEFAULT_EMBED_CACHE_SIZE: usize = 4096;
/// HTTP client for the Python AI sidecar.
#[derive(Clone)]
pub struct AiClient {
client: Client,
base_url: String,
gateway_url: Option<String>,
/// Closes the 63× perf gap with Go side. Mirrors the shape of
/// Go's internal/embed/cached.go::CachedProvider — same
/// (model, text) → vector caching, same nil-disable semantics.
/// None = caching disabled (cache_size=0); Some = bounded LRU.
embed_cache: Option<Arc<Mutex<LruCache<EmbedCacheKey, Vec<f64>>>>>,
/// Hit / miss counters for /admin observability + load-test
/// validation. Atomic so Clone'd AiClients share the same counts.
embed_cache_hits: Arc<AtomicU64>,
embed_cache_misses: Arc<AtomicU64>,
/// Pinned at construction time so the EmbedResponse can carry
/// dimension consistently even when every text was a cache hit
/// (no fresh upstream call to learn the dim from). Set on first
/// successful Ollama embed; checked on every cache hit.
cached_dim: Arc<AtomicU64>,
}
// -- Request/Response types --
@@ -141,386 +79,68 @@ pub struct RerankResponse {
impl AiClient {
pub fn new(base_url: &str) -> Self {
Self::with_embed_cache(base_url, DEFAULT_EMBED_CACHE_SIZE)
}
/// Constructs an AiClient with an explicit embed-cache size.
/// Pass 0 to disable the cache entirely (matches Go-side
/// CachedProvider's nil-cache semantics).
pub fn with_embed_cache(base_url: &str, cache_size: usize) -> Self {
let client = Client::builder()
.timeout(Duration::from_secs(120))
.build()
.expect("failed to build HTTP client");
let embed_cache = if cache_size > 0 {
// SAFETY: cache_size > 0 just verified, NonZeroUsize::new
// returns Some.
let cap = NonZeroUsize::new(cache_size).expect("cache_size > 0");
Some(Arc::new(Mutex::new(LruCache::new(cap))))
} else {
None
};
Self {
client,
base_url: base_url.trim_end_matches('/').to_string(),
gateway_url: None,
embed_cache,
embed_cache_hits: Arc::new(AtomicU64::new(0)),
embed_cache_misses: Arc::new(AtomicU64::new(0)),
cached_dim: Arc::new(AtomicU64::new(0)),
}
}
/// Cache hit/miss/size snapshot. Useful for /admin endpoints +
/// load-test validation ("did the cache fire as expected?").
pub fn embed_cache_stats(&self) -> (u64, u64, usize) {
let hits = self.embed_cache_hits.load(Ordering::Relaxed);
let misses = self.embed_cache_misses.load(Ordering::Relaxed);
let len = self
.embed_cache
.as_ref()
.map(|c| c.lock().map(|g| g.len()).unwrap_or(0))
.unwrap_or(0);
(hits, misses, len)
}
/// Same as `new`, but every `generate()` is routed through
/// `${gateway_url}/v1/chat` (provider=ollama) for observability.
/// Use this for callers OUTSIDE the gateway. Inside the gateway
/// itself, prefer `new()` — calling /v1/chat from /v1/chat works
/// (no infinite loop, ollama_arm doesn't use AiClient) but adds
/// a wasted localhost hop.
pub fn new_with_gateway(base_url: &str, gateway_url: &str) -> Self {
let mut c = Self::new(base_url);
c.gateway_url = Some(gateway_url.trim_end_matches('/').to_string());
c
}
/// Reachability + version check. Hits Ollama's `/api/version`,
/// returns a sidecar-shaped envelope so callers reading
/// `.status` / `.ollama_url` don't break across the
/// pre-/post-2026-05-02 cutover.
pub async fn health(&self) -> Result<serde_json::Value, String> {
let resp = self.client
.get(format!("{}/api/version", self.base_url))
.get(format!("{}/health", self.base_url))
.send()
.await
.map_err(|e| format!("ollama unreachable: {e}"))?;
let body: serde_json::Value = resp.json().await
.map_err(|e| format!("invalid response: {e}"))?;
Ok(serde_json::json!({
"status": "ok",
"ollama_url": &self.base_url,
"ollama_version": body.get("version"),
}))
.map_err(|e| format!("sidecar unreachable: {e}"))?;
resp.json().await.map_err(|e| format!("invalid response: {e}"))
}
/// Embed with per-text LRU caching. Mirrors Go-side
/// CachedProvider behavior: cache key is (model, text);
/// cache-hit texts skip the sidecar; cache-miss texts batch
/// into a single sidecar call; results are interleaved in the
/// caller's input order.
///
/// Closes ~95% of the load-test perf gap vs Go side (loadgen
/// 2026-05-01: Rust 128 RPS → with cache ≥ 7000 RPS expected
/// for warm-cache workloads). Cold-cache behavior unchanged
/// (every text is a miss → single sidecar call, identical to
/// pre-cache).
pub async fn embed(&self, req: EmbedRequest) -> Result<EmbedResponse, String> {
let model_key = req.model.clone().unwrap_or_default();
// Fast path: cache disabled → original behavior.
let Some(cache) = self.embed_cache.as_ref() else {
return self.embed_uncached(&req).await;
};
if req.texts.is_empty() {
return self.embed_uncached(&req).await;
}
// First pass: check cache for each text. Track which positions
// need a sidecar fetch.
let mut embeddings: Vec<Option<Vec<f64>>> = vec![None; req.texts.len()];
let mut miss_indices: Vec<usize> = Vec::new();
let mut miss_texts: Vec<String> = Vec::new();
{
let mut guard = cache.lock().map_err(|e| format!("cache lock poisoned: {e}"))?;
for (i, text) in req.texts.iter().enumerate() {
let key = EmbedCacheKey { model: model_key.clone(), text: text.clone() };
if let Some(vec) = guard.get(&key) {
embeddings[i] = Some(vec.clone());
self.embed_cache_hits.fetch_add(1, Ordering::Relaxed);
} else {
miss_indices.push(i);
miss_texts.push(text.clone());
self.embed_cache_misses.fetch_add(1, Ordering::Relaxed);
}
}
}
// All hit? Return immediately. Use cached_dim to populate
// the response dimension (no sidecar to ask).
if miss_indices.is_empty() {
let dim = self.cached_dim.load(Ordering::Relaxed) as usize;
let dim = if dim == 0 { embeddings[0].as_ref().map(|v| v.len()).unwrap_or(0) } else { dim };
return Ok(EmbedResponse {
embeddings: embeddings.into_iter().map(|opt| opt.expect("filled")).collect(),
model: req.model.unwrap_or_else(|| "nomic-embed-text".to_string()),
dimensions: dim,
});
}
// Second pass: fetch the misses in one sidecar call.
let miss_req = EmbedRequest { texts: miss_texts.clone(), model: req.model.clone() };
let resp = self.embed_uncached(&miss_req).await?;
if resp.embeddings.len() != miss_texts.len() {
return Err(format!(
"embed cache: sidecar returned {} embeddings for {} texts",
resp.embeddings.len(),
miss_texts.len()
));
}
// Pin cached_dim on first successful response.
if resp.dimensions > 0 {
self.cached_dim.store(resp.dimensions as u64, Ordering::Relaxed);
}
// Insert misses into cache + fill response slots.
{
let mut guard = cache.lock().map_err(|e| format!("cache lock poisoned: {e}"))?;
for (j, idx) in miss_indices.iter().enumerate() {
let key = EmbedCacheKey {
model: model_key.clone(),
text: miss_texts[j].clone(),
};
let vec = resp.embeddings[j].clone();
guard.put(key, vec.clone());
embeddings[*idx] = Some(vec);
}
}
Ok(EmbedResponse {
embeddings: embeddings.into_iter().map(|opt| opt.expect("filled")).collect(),
model: resp.model,
dimensions: resp.dimensions,
})
}
/// Direct Ollama call — used internally by embed() for cache-miss
/// batches and as the transparent fallback when the cache is
/// disabled. Loops per-text against `${base_url}/api/embed`,
/// matching the sidecar's pre-2026-05-02 behavior. Ollama 0.4+
/// supports batch input but per-text keeps compatibility broader
/// + lets cache-miss-only batches share the loop with cold runs.
async fn embed_uncached(&self, req: &EmbedRequest) -> Result<EmbedResponse, String> {
let model = req.model.clone().unwrap_or_else(|| "nomic-embed-text".to_string());
let mut embeddings: Vec<Vec<f64>> = Vec::with_capacity(req.texts.len());
for text in &req.texts {
let resp = self.client
.post(format!("{}/api/embed", self.base_url))
.json(&serde_json::json!({
"model": &model,
"input": text,
}))
.post(format!("{}/embed", self.base_url))
.json(&req)
.send()
.await
.map_err(|e| format!("embed request failed: {e}"))?;
if !resp.status().is_success() {
let body = resp.text().await.unwrap_or_default();
return Err(format!("ollama embed error: {body}"));
let text = resp.text().await.unwrap_or_default();
return Err(format!("embed error ({}): {text}", text.len()));
}
// Ollama returns {"embeddings": [[...]], "model": "...", ...}.
// The outer `embeddings` is always a list; for a scalar input
// we get a single inner vector.
let parsed: serde_json::Value = resp.json().await
.map_err(|e| format!("embed parse error: {e}"))?;
let arr = parsed.get("embeddings")
.and_then(|v| v.as_array())
.ok_or_else(|| format!("ollama embed: missing 'embeddings' field in {parsed}"))?;
if arr.is_empty() {
return Err("ollama embed: empty embeddings array".to_string());
}
let first = arr[0].as_array()
.ok_or_else(|| "ollama embed: embeddings[0] not an array".to_string())?;
let vec: Vec<f64> = first.iter()
.filter_map(|n| n.as_f64())
.collect();
if vec.is_empty() {
return Err("ollama embed: numeric coercion produced empty vector".to_string());
}
embeddings.push(vec);
}
let dimensions = embeddings.first().map(|v| v.len()).unwrap_or(0);
Ok(EmbedResponse {
embeddings,
model,
dimensions,
})
resp.json().await.map_err(|e| format!("embed parse error: {e}"))
}
pub async fn generate(&self, req: GenerateRequest) -> Result<GenerateResponse, String> {
if let Some(gw) = self.gateway_url.as_deref() {
return self.generate_via_gateway(gw, req).await;
}
// Direct Ollama path. Used by gateway internals (so the ollama
// provider can call upstream without a self-loop through
// /v1/chat) and by any consumer that wants raw transport
// without /v1/usage accounting.
let model = req.model.clone().unwrap_or_else(|| "qwen3.5:latest".to_string());
let mut body = serde_json::json!({
"model": &model,
"prompt": &req.prompt,
"stream": false,
});
let mut options = serde_json::Map::new();
if let Some(t) = req.temperature {
options.insert("temperature".to_string(), serde_json::json!(t));
}
if let Some(mt) = req.max_tokens {
options.insert("num_predict".to_string(), serde_json::json!(mt));
}
if !options.is_empty() {
body["options"] = serde_json::Value::Object(options);
}
if let Some(sys) = &req.system {
body["system"] = serde_json::json!(sys);
}
if let Some(th) = req.think {
body["think"] = serde_json::json!(th);
}
let resp = self.client
.post(format!("{}/api/generate", self.base_url))
.json(&body)
.post(format!("{}/generate", self.base_url))
.json(&req)
.send()
.await
.map_err(|e| format!("generate request failed: {e}"))?;
if !resp.status().is_success() {
let text = resp.text().await.unwrap_or_default();
return Err(format!("ollama generate error: {text}"));
return Err(format!("generate error: {text}"));
}
let parsed: serde_json::Value = resp.json().await
.map_err(|e| format!("generate parse error: {e}"))?;
Ok(GenerateResponse {
text: parsed.get("response").and_then(|v| v.as_str()).unwrap_or("").to_string(),
model,
tokens_evaluated: parsed.get("prompt_eval_count").and_then(|v| v.as_u64()),
tokens_generated: parsed.get("eval_count").and_then(|v| v.as_u64()),
})
resp.json().await.map_err(|e| format!("generate parse error: {e}"))
}
/// Phase 44 part 2: route generate() through the gateway's
/// /v1/chat with provider="ollama" so the call lands in
/// /v1/usage + Langfuse. Translates between the sidecar
/// GenerateRequest/Response shape and the OpenAI-compat
/// chat shape on the wire.
async fn generate_via_gateway(&self, gateway_url: &str, req: GenerateRequest) -> Result<GenerateResponse, String> {
let mut messages = Vec::with_capacity(2);
if let Some(sys) = &req.system {
messages.push(serde_json::json!({"role": "system", "content": sys}));
}
messages.push(serde_json::json!({"role": "user", "content": req.prompt}));
let mut body = serde_json::json!({
"messages": messages,
"provider": "ollama",
});
if let Some(m) = &req.model { body["model"] = serde_json::json!(m); }
if let Some(t) = req.temperature { body["temperature"] = serde_json::json!(t); }
if let Some(mt) = req.max_tokens { body["max_tokens"] = serde_json::json!(mt); }
if let Some(th) = req.think { body["think"] = serde_json::json!(th); }
let resp = self.client
.post(format!("{}/v1/chat", gateway_url))
.json(&body)
.send()
.await
.map_err(|e| format!("/v1/chat request failed: {e}"))?;
if !resp.status().is_success() {
let text = resp.text().await.unwrap_or_default();
return Err(format!("/v1/chat error: {text}"));
}
let parsed: serde_json::Value = resp.json().await
.map_err(|e| format!("/v1/chat parse error: {e}"))?;
let text = parsed
.pointer("/choices/0/message/content")
.and_then(|v| v.as_str())
.unwrap_or("")
.to_string();
let model = parsed.get("model")
.and_then(|v| v.as_str())
.unwrap_or_else(|| req.model.as_deref().unwrap_or(""))
.to_string();
let prompt_tokens = parsed.pointer("/usage/prompt_tokens").and_then(|v| v.as_u64());
let completion_tokens = parsed.pointer("/usage/completion_tokens").and_then(|v| v.as_u64());
Ok(GenerateResponse {
text,
model,
tokens_evaluated: prompt_tokens,
tokens_generated: completion_tokens,
})
}
/// Cross-encoder reranking via Ollama generate. Asks the model to
/// rate each document's relevance to the query 0-10, then sorts
/// descending. Mirrors the sidecar's pre-2026-05-02 algorithm
/// exactly so callers see the same scores.
pub async fn rerank(&self, req: RerankRequest) -> Result<RerankResponse, String> {
let model = req.model.clone().unwrap_or_else(|| "qwen3.5:latest".to_string());
let mut scored: Vec<ScoredDocument> = Vec::with_capacity(req.documents.len());
for (i, doc) in req.documents.iter().enumerate() {
let prompt = format!(
"Rate the relevance of the following document to the query on a scale of 0 to 10. \
Respond with ONLY a number.\n\n\
Query: {}\n\n\
Document: {}\n\n\
Score:",
req.query, doc,
);
let resp = self.client
.post(format!("{}/api/generate", self.base_url))
.json(&serde_json::json!({
"model": &model,
"prompt": prompt,
"stream": false,
"options": {"temperature": 0.0, "num_predict": 8},
}))
.post(format!("{}/rerank", self.base_url))
.json(&req)
.send()
.await
.map_err(|e| format!("rerank request failed: {e}"))?;
if !resp.status().is_success() {
let body = resp.text().await.unwrap_or_default();
return Err(format!("ollama rerank error: {body}"));
let text = resp.text().await.unwrap_or_default();
return Err(format!("rerank error: {text}"));
}
let parsed: serde_json::Value = resp.json().await
.map_err(|e| format!("rerank parse error: {e}"))?;
let text = parsed.get("response").and_then(|v| v.as_str()).unwrap_or("").trim();
// Parse the leading number; tolerate "7", "7.5", "7 — strong match".
let score = text.split_whitespace().next()
.and_then(|t| t.parse::<f64>().ok())
.unwrap_or(0.0)
.clamp(0.0, 10.0);
scored.push(ScoredDocument {
index: i,
text: doc.clone(),
score,
});
}
scored.sort_by(|a, b| b.score.partial_cmp(&a.score).unwrap_or(std::cmp::Ordering::Equal));
if let Some(k) = req.top_k {
scored.truncate(k);
}
Ok(RerankResponse { results: scored, model })
resp.json().await.map_err(|e| format!("rerank parse error: {e}"))
}
/// Force Ollama to unload the named model from VRAM (keep_alive=0).
@@ -529,116 +149,40 @@ impl AiClient {
/// profile's model can linger in VRAM next to the new one.
pub async fn unload_model(&self, model: &str) -> Result<serde_json::Value, String> {
let resp = self.client
.post(format!("{}/api/generate", self.base_url))
.json(&serde_json::json!({
"model": model,
"prompt": "",
"keep_alive": 0,
"stream": false,
}))
.post(format!("{}/admin/unload", self.base_url))
.json(&serde_json::json!({ "model": model }))
.send().await
.map_err(|e| format!("unload request failed: {e}"))?;
if !resp.status().is_success() {
let text = resp.text().await.unwrap_or_default();
return Err(format!("ollama unload error: {text}"));
return Err(format!("unload error: {text}"));
}
// Ollama returns 200 with the empty-prompt response shape.
// Fold into the legacy {"unloaded": "<model>"} envelope so
// callers' parsing doesn't break.
Ok(serde_json::json!({ "unloaded": model }))
resp.json().await.map_err(|e| format!("unload parse error: {e}"))
}
/// Ask Ollama to load the named model into VRAM proactively. Makes
/// the first real request after profile activation fast (no cold-load
/// latency). Empty prompts confuse some models, so we send a single
/// space + cap num_predict=1 (matches the sidecar's prior behavior).
/// latency).
pub async fn preload_model(&self, model: &str) -> Result<serde_json::Value, String> {
let resp = self.client
.post(format!("{}/api/generate", self.base_url))
.json(&serde_json::json!({
"model": model,
"prompt": " ",
"keep_alive": "5m",
"stream": false,
"options": {"num_predict": 1},
}))
.post(format!("{}/admin/preload", self.base_url))
.json(&serde_json::json!({ "model": model }))
.send().await
.map_err(|e| format!("preload request failed: {e}"))?;
if !resp.status().is_success() {
let text = resp.text().await.unwrap_or_default();
return Err(format!("ollama preload error: {text}"));
return Err(format!("preload error: {text}"));
}
let parsed: serde_json::Value = resp.json().await
.map_err(|e| format!("preload parse error: {e}"))?;
Ok(serde_json::json!({
"preloaded": model,
"load_duration_ns": parsed.get("load_duration"),
"total_duration_ns": parsed.get("total_duration"),
}))
resp.json().await.map_err(|e| format!("preload parse error: {e}"))
}
/// GPU + loaded-model snapshot. Combines nvidia-smi output (when
/// available) with Ollama's /api/ps. Same shape as the prior
/// sidecar /admin/vram endpoint so callers don't need updating.
/// GPU + loaded-model snapshot from the sidecar. Combines nvidia-smi
/// output (if available) with Ollama's /api/ps.
pub async fn vram_snapshot(&self) -> Result<serde_json::Value, String> {
let resp = self.client
.get(format!("{}/api/ps", self.base_url))
.get(format!("{}/admin/vram", self.base_url))
.send().await
.map_err(|e| format!("ollama ps request failed: {e}"))?;
let loaded: Vec<serde_json::Value> = if resp.status().is_success() {
let parsed: serde_json::Value = resp.json().await.unwrap_or(serde_json::Value::Null);
parsed.get("models")
.and_then(|v| v.as_array())
.map(|arr| arr.iter().map(|m| serde_json::json!({
"name": m.get("name"),
"size_vram_mib": m.get("size_vram").and_then(|v| v.as_u64()).map(|n| n / (1024 * 1024)),
"expires_at": m.get("expires_at"),
})).collect())
.unwrap_or_default()
} else {
Vec::new()
};
let gpu = nvidia_smi_snapshot();
Ok(serde_json::json!({
"gpu": gpu,
"ollama_loaded": loaded,
}))
.map_err(|e| format!("vram request failed: {e}"))?;
resp.json().await.map_err(|e| format!("vram parse error: {e}"))
}
}
/// One-shot nvidia-smi poll. Returns Null if the tool isn't on PATH
/// or the call fails. Mirrors the sidecar's `_nvidia_smi_snapshot`
/// shape exactly so callers reading vram_snapshot don't break.
fn nvidia_smi_snapshot() -> serde_json::Value {
use std::process::Command;
let out = Command::new("nvidia-smi")
.args([
"--query-gpu=memory.used,memory.total,utilization.gpu,name",
"--format=csv,noheader,nounits",
])
.output();
let stdout = match out {
Ok(o) if o.status.success() => o.stdout,
_ => return serde_json::Value::Null,
};
let line = String::from_utf8_lossy(&stdout);
let line = line.trim();
if line.is_empty() {
return serde_json::Value::Null;
}
let parts: Vec<&str> = line.split(',').map(|s| s.trim()).collect();
if parts.len() < 4 {
return serde_json::Value::Null;
}
let used = parts[0].parse::<u64>().unwrap_or(0);
let total = parts[1].parse::<u64>().unwrap_or(0);
let util = parts[2].parse::<u64>().unwrap_or(0);
serde_json::json!({
"name": parts[3],
"used_mib": used,
"total_mib": total,
"utilization_pct": util,
})
}
+16 -10
View File
@@ -13,9 +13,11 @@
use std::collections::HashMap;
use std::sync::OnceLock;
// `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.
/// 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
}
/// Phase 21 — per-model context windows, mirroring the TS table in
/// `tests/multi-agent/agent.ts`. Anchored on each model's documented
@@ -82,8 +84,8 @@ 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(shared::model_matrix::ModelMatrix::estimate_tokens).unwrap_or(0);
let estimated = shared::model_matrix::ModelMatrix::estimate_tokens(prompt) + sys_tokens + max_tokens;
let sys_tokens = opts.system.map(estimate_tokens).unwrap_or(0);
let estimated = 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 {
@@ -107,10 +109,14 @@ pub fn overflow_message(model: &str, check: &BudgetCheck, over_by: usize, safety
mod tests {
use super::*;
// 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 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);
}
#[test]
fn context_window_known_and_fallback() {
@@ -173,7 +179,7 @@ mod tests {
).unwrap();
assert!(with_sys.estimated > without_sys.estimated,
"system prompt should raise estimate");
assert_eq!(with_sys.estimated - without_sys.estimated, shared::model_matrix::ModelMatrix::estimate_tokens(&sys));
assert_eq!(with_sys.estimated - without_sys.estimated, estimate_tokens(&sys));
}
#[test]
+5 -31
View File
@@ -138,17 +138,6 @@ pub struct ContinuableOutcome {
pub empty_retries: usize,
pub continuations: usize,
pub final_complete: bool,
/// Sum of `prompt_tokens` across every generator call made to
/// produce this outcome — including empty retries and continuations.
/// Lets callers (gateway execution loop, observability) stamp
/// accurate per-task usage without second-guessing the retry fan-out.
pub prompt_tokens: u32,
/// Sum of `completion_tokens` across every generator call.
pub completion_tokens: u32,
/// Total number of generator calls. `1 + empty_retries +
/// continuations` in the normal case; the field is explicit so
/// callers don't have to re-derive it.
pub calls: u32,
}
fn make_request(opts: &ContinuableOpts, prompt: String, current_max: u32) -> GenerateRequest {
@@ -186,20 +175,11 @@ pub async fn generate_continuable<G: TextGenerator>(
let mut combined = String::new();
let mut empty_retries = 0usize;
let mut continuations = 0usize;
let mut prompt_tokens: u32 = 0;
let mut completion_tokens: u32 = 0;
let mut calls: u32 = 0;
// Phase 21(a) — empty-response backoff loop.
for retry in 0..opts.max_empty_retries {
let req = make_request(opts, prompt.to_string(), current_max);
let resp = generator.generate_text(req).await?;
calls += 1;
// u32::try_from saturates at u32::MAX instead of silently
// truncating bits when tokens_evaluated/_generated comes back
// as a u64 > 4 billion. Caught 2026-04-27 by Opus self-audit.
prompt_tokens = prompt_tokens.saturating_add(u32::try_from(resp.tokens_evaluated.unwrap_or(0)).unwrap_or(u32::MAX));
completion_tokens = completion_tokens.saturating_add(u32::try_from(resp.tokens_generated.unwrap_or(0)).unwrap_or(u32::MAX));
if !resp.text.trim().is_empty() {
combined = resp.text;
break;
@@ -208,7 +188,9 @@ pub async fn generate_continuable<G: TextGenerator>(
current_max = (current_max.saturating_mul(2)).min(opts.budget_cap);
}
// Phase 21(b) — structural-completion continuation loop.
// Phase 21(b) — structural-completion continuation loop. Runs on
// the truncated-non-empty case; empty + exhausted retries falls
// through with empty combined and final_complete=false.
for _ in 0..opts.max_continuations {
if is_structurally_complete(&combined, opts.shape) {
return Ok(ContinuableOutcome {
@@ -216,22 +198,17 @@ pub async fn generate_continuable<G: TextGenerator>(
empty_retries,
continuations,
final_complete: true,
prompt_tokens,
completion_tokens,
calls,
});
}
if combined.trim().is_empty() {
// Nothing to continue from — continuing "" is identical to
// the initial call and would loop.
// the initial call and would loop. Bail so the caller sees
// the failure rather than burning N extra calls.
break;
}
let cont_prompt = continuation_prompt(prompt, &combined);
let req = make_request(opts, cont_prompt, current_max.min(opts.budget_cap));
let resp = generator.generate_text(req).await?;
calls += 1;
prompt_tokens = prompt_tokens.saturating_add(u32::try_from(resp.tokens_evaluated.unwrap_or(0)).unwrap_or(u32::MAX));
completion_tokens = completion_tokens.saturating_add(u32::try_from(resp.tokens_generated.unwrap_or(0)).unwrap_or(u32::MAX));
combined.push_str(&resp.text);
continuations += 1;
}
@@ -242,9 +219,6 @@ pub async fn generate_continuable<G: TextGenerator>(
empty_retries,
continuations,
final_complete,
prompt_tokens,
completion_tokens,
calls,
})
}
-3
View File
@@ -1,8 +1,5 @@
pub mod client;
pub mod context;
pub mod continuation;
pub mod provider;
pub mod providers;
pub mod routing;
pub mod service;
pub mod tree_split;
-39
View File
@@ -1,39 +0,0 @@
use async_trait::async_trait;
use crate::client::{GenerateRequest, GenerateResponse, EmbedRequest, EmbedResponse};
#[async_trait]
pub trait ProviderAdapter: Send + Sync {
/// Name for routing (ollama, openrouter, etc.)
fn name(&self) -> &str;
/// Chat completion — returns text, model, token counts
async fn chat(&self, req: GenerateRequest) -> Result<GenerateResponse, String>;
/// Embeddings — returns vectors, model, dimensions
async fn embed(&self, req: EmbedRequest) -> Result<EmbedResponse, String>;
/// Unload model from VRAM (optional, no-op if not supported)
async fn unload(&self, _model: &str) -> Result<(), String> {
Ok(())
}
/// Health check
async fn health(&self) -> Result<serde_json::Value, String>;
}
/// Routing key extracted from model name.
/// - "qwen3.5:latest" → "ollama"
/// - "openrouter/anthropic/claude-3.5-sonnet" → "openrouter"
/// - "gpt-4o" → "ollama" (default)
pub fn provider_key(model: &str) -> &'static str {
let lower = model.to_lowercase();
if lower.starts_with("openrouter/") {
"openrouter"
} else if lower.starts_with("gemini") {
"gemini"
} else if lower.starts_with("claude") {
"claude"
} else {
"ollama" // default: local Ollama
}
}
-2
View File
@@ -1,2 +0,0 @@
pub mod ollama;
pub mod openrouter;
-37
View File
@@ -1,37 +0,0 @@
use async_trait::async_trait;
use crate::client::{AiClient, GenerateRequest, GenerateResponse, EmbedRequest, EmbedResponse};
use crate::provider::ProviderAdapter;
pub struct OllamaAdapter {
client: AiClient,
}
impl OllamaAdapter {
pub fn new(client: AiClient) -> Self {
Self { client }
}
}
#[async_trait]
impl ProviderAdapter for OllamaAdapter {
fn name(&self) -> &str {
"ollama"
}
async fn chat(&self, req: GenerateRequest) -> Result<GenerateResponse, String> {
self.client.generate(req).await
}
async fn embed(&self, req: EmbedRequest) -> Result<EmbedResponse, String> {
self.client.embed(req).await
}
async fn unload(&self, model: &str) -> Result<(), String> {
let _: serde_json::Value = self.client.unload_model(model).await?;
Ok(())
}
async fn health(&self) -> Result<serde_json::Value, String> {
self.client.health().await
}
}
-152
View File
@@ -1,152 +0,0 @@
use async_trait::async_trait;
use reqwest::Client;
use serde::{Deserialize, Serialize};
use std::time::Duration;
use crate::client::{GenerateRequest, GenerateResponse, EmbedRequest, EmbedResponse};
use crate::provider::ProviderAdapter;
pub struct OpenRouterAdapter {
client: Client,
base_url: String,
api_key: String,
default_model: String,
}
#[derive(Serialize)]
struct OpenRouterChatRequest {
model: String,
messages: Vec<OpenRouterMessage>,
temperature: Option<f64>,
max_tokens: Option<u32>,
}
#[derive(Serialize)]
struct OpenRouterMessage {
role: String,
content: String,
}
#[derive(Deserialize)]
struct OpenRouterChatResponse {
choices: Vec<OpenRouterChoice>,
usage: OpenRouterUsage,
model: String,
}
#[derive(Deserialize)]
struct OpenRouterChoice {
message: OpenRouterMessageOut,
}
#[derive(Deserialize)]
#[allow(dead_code)]
struct OpenRouterMessageOut {
role: String,
content: String,
}
#[derive(Deserialize)]
#[allow(dead_code)]
struct OpenRouterUsage {
prompt_tokens: Option<u32>,
completion_tokens: Option<u32>,
total_tokens: Option<u32>,
}
impl OpenRouterAdapter {
pub fn new(base_url: &str, api_key: String, default_model: &str) -> Self {
let client = Client::builder()
.timeout(Duration::from_secs(180))
.build()
.expect("failed to build HTTP client");
Self {
client,
base_url: base_url.trim_end_matches('/').to_string(),
api_key,
default_model: default_model.to_string(),
}
}
fn chat_model(&self, model: &str) -> String {
// Strip "openrouter/" prefix if present
let m = model.trim_start_matches("openrouter/");
if m.is_empty() || m == model {
self.default_model.clone()
} else {
m.to_string()
}
}
fn to_openrouter_messages(req: &GenerateRequest) -> Vec<OpenRouterMessage> {
let mut out = vec![];
if let Some(sys) = &req.system {
out.push(OpenRouterMessage { role: "system".into(), content: sys.clone() });
}
out.push(OpenRouterMessage {
role: "user".into(),
content: req.prompt.clone(),
});
out
}
}
#[async_trait]
impl ProviderAdapter for OpenRouterAdapter {
fn name(&self) -> &str {
"openrouter"
}
async fn chat(&self, req: GenerateRequest) -> Result<GenerateResponse, String> {
let model = self.chat_model(req.model.as_deref().unwrap_or(""));
let or_req = OpenRouterChatRequest {
model: model.clone(),
messages: OpenRouterAdapter::to_openrouter_messages(&req),
temperature: req.temperature,
max_tokens: req.max_tokens,
};
let resp = self.client
.post(format!("{}/chat/completions", self.base_url))
.header("Authorization", format!("Bearer {}", self.api_key))
.header("Content-Type", "application/json")
.json(&or_req)
.send()
.await
.map_err(|e| format!("openrouter request failed: {e}"))?;
let status = resp.status();
let body = resp.text().await.unwrap_or_default();
if !status.is_success() {
return Err(format!("openrouter error ({}): {}", status, body));
}
let or_resp: OpenRouterChatResponse = serde_json::from_str(&body)
.map_err(|e| format!("openrouter parse error: {e}"))?;
let choice = or_resp.choices.into_iter().next()
.ok_or("no completion choice returned")?;
let usage = or_resp.usage;
Ok(GenerateResponse {
text: choice.message.content,
model: or_resp.model,
tokens_evaluated: usage.prompt_tokens.map(|n| n as u64),
tokens_generated: usage.completion_tokens.map(|n| n as u64),
})
}
async fn embed(&self, _req: EmbedRequest) -> Result<EmbedResponse, String> {
Err("openrouter: embed not implemented".into())
}
async fn health(&self) -> Result<serde_json::Value, String> {
// OpenRouter doesn't have a dedicated health endpoint,
// so we just return a healthy response if the client works.
Ok(serde_json::json!({
"status": "ok",
"provider": "openrouter",
}))
}
}
-119
View File
@@ -1,119 +0,0 @@
use serde::{Deserialize, Serialize};
#[derive(Clone, Debug, Deserialize, Serialize)]
pub struct RoutingRule {
pub model_pattern: String,
pub provider: String,
pub max_tokens: Option<u32>,
pub temperature: Option<f64>,
}
#[derive(Clone, Default)]
pub struct RoutingEngine {
rules: Vec<RoutingRule>,
fallback_chain: Vec<String>,
}
impl RoutingEngine {
pub fn new() -> Self {
Self::default()
}
pub fn with_rules(mut self, rules: Vec<RoutingRule>) -> Self {
self.rules = rules;
self
}
pub fn with_fallback(mut self, chain: Vec<String>) -> Self {
self.fallback_chain = chain;
self
}
pub fn route(&self, model: &str) -> RouteDecision {
let lower = model.to_lowercase();
for rule in &self.rules {
if glob_match(&rule.model_pattern.to_lowercase(), &lower) {
return RouteDecision {
provider: rule.provider.clone(),
model: model.to_string(),
max_tokens: rule.max_tokens,
temperature: rule.temperature,
};
}
}
if let Some(first) = self.fallback_chain.first() {
RouteDecision {
provider: first.clone(),
model: model.to_string(),
max_tokens: None,
temperature: None,
}
} else {
RouteDecision {
provider: "ollama".to_string(),
model: model.to_string(),
max_tokens: None,
temperature: None,
}
}
}
}
#[derive(Clone, Debug)]
pub struct RouteDecision {
pub provider: String,
pub model: String,
pub max_tokens: Option<u32>,
pub temperature: Option<f64>,
}
fn glob_match(pattern: &str, name: &str) -> bool {
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 {
fn default() -> Self {
Self {
model_pattern: "*".to_string(),
provider: "ollama".to_string(),
max_tokens: None,
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"));
}
}
+4 -5
View File
@@ -19,9 +19,8 @@
//! we bubble the error up rather than silently truncating. That's the
//! whole point of Phase 21.
use crate::context::{assert_context_budget, BudgetOpts, overflow_message,
use crate::context::{assert_context_budget, BudgetOpts, estimate_tokens, 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
@@ -81,12 +80,12 @@ 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 ModelMatrix::estimate_tokens(scratchpad) <= budget_tokens { return false; }
if 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 ModelMatrix::estimate_tokens(&scratchpad[cursor..]) > budget_tokens {
while 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) {
@@ -279,7 +278,7 @@ 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 = ModelMatrix::estimate_tokens(&result.scratchpad);
let scratchpad_tokens = estimate_tokens(&result.scratchpad);
assert!(scratchpad_tokens <= opts.scratchpad_budget * 2,
"scratchpad {} tokens vs budget {}", scratchpad_tokens, opts.scratchpad_budget);
}
-3
View File
@@ -16,8 +16,5 @@ chrono = { workspace = true }
uuid = { workspace = true }
object_store = { workspace = true }
arrow = { workspace = true }
parquet = { workspace = true }
sha2 = { workspace = true }
hmac = { workspace = true }
proto = { path = "../proto" }
tonic = { workspace = true }
-505
View File
@@ -1,505 +0,0 @@
//! `/audit/subject/{id}` HTTP endpoint — legal-tier subject audit response.
//!
//! Specification: docs/specs/SUBJECT_MANIFESTS_ON_CATALOGD.md §4 + §6.
//!
//! Responds to: `GET /subject/{candidate_id}?from=ISO&to=ISO`
//! Auth: requires `X-Lakehouse-Legal-Token` header matching the value in
//! the legal-token file (see LegalAuditAuth). Constant-time compare.
//!
//! Response shape (subject_audit_response.v1):
//! - manifest: full SubjectManifest from catalogd
//! - audit_log.rows: SubjectAuditRow entries within [from, to]
//! - audit_log.chain_verified: bool (HMAC chain verifies end-to-end)
//! - completeness_attestation: text the lawyer can quote
//!
//! V1 deliberately does NOT include:
//! - Ed25519 signature on the response — chain verification IS the
//! v1 attestation; signing is future hardening (spec §10 v2 reserve)
//! - Live row projection from the underlying datasets — caller can
//! fetch via /query/sql against the safe_views named in the manifest;
//! keeping projection out of this endpoint avoids depending on queryd
//! - External anchor / S3 Object Lock — local HMAC chain is the v1
//! integrity surface
//!
//! These are documented as future hardening, not silent gaps.
use crate::registry::Registry;
use crate::subject_audit::SubjectAuditWriter;
use axum::{
extract::{Path, Query, State},
http::{HeaderMap, StatusCode},
response::IntoResponse,
routing::get,
Json, Router,
};
use serde::{Deserialize, Serialize};
use shared::types::{SubjectAuditRow, SubjectManifest};
use std::sync::Arc;
const LEGAL_TOKEN_HEADER: &str = "x-lakehouse-legal-token";
const RESPONSE_SCHEMA: &str = "subject_audit_response.v1";
/// State for the audit endpoint router. Held outside Registry because
/// the audit writer + legal token aren't part of catalogd's data model
/// — they're sidecar concerns specific to this endpoint.
#[derive(Clone)]
pub struct AuditEndpointState {
pub registry: Registry,
pub writer: Arc<SubjectAuditWriter>,
/// Legal-tier token. Constant-time compared against the header on
/// every request. None = endpoint returns 503 (audit unavailable).
pub legal_token: Option<Arc<String>>,
}
impl AuditEndpointState {
/// Construct from existing pieces. `legal_token_path` is read at
/// construction and trimmed of trailing whitespace. Missing/empty
/// = endpoint will 503 every request with a clear reason.
pub async fn new(
registry: Registry,
writer: Arc<SubjectAuditWriter>,
legal_token_path: &std::path::Path,
) -> Self {
let legal_token = match tokio::fs::read_to_string(legal_token_path).await {
Ok(s) => {
let trimmed = s.trim().to_string();
if trimmed.is_empty() {
tracing::warn!(
"audit endpoint: legal token file at {} is empty — endpoint will 503",
legal_token_path.display()
);
None
} else if trimmed.len() < 32 {
// 2026-05-03 kimi scrum BLOCK at audit_endpoint.rs:59-60:
// 16-byte minimum was too permissive for a legal-tier
// secret. Aligned to the SubjectAuditWriter signing-key
// minimum (32 bytes — HMAC-SHA256 best practice).
tracing::warn!(
"audit endpoint: legal token at {} is {} chars (minimum 32) — endpoint will 503",
legal_token_path.display(), trimmed.len()
);
None
} else {
tracing::info!("audit endpoint: legal token loaded from {}", legal_token_path.display());
Some(Arc::new(trimmed))
}
}
Err(e) => {
tracing::warn!(
"audit endpoint: legal token unreadable from {} ({e}) — endpoint will 503",
legal_token_path.display()
);
None
}
};
Self { registry, writer, legal_token }
}
}
pub fn router(state: AuditEndpointState) -> Router {
Router::new()
.route("/subject/{candidate_id}", get(audit_subject))
.route("/health", get(audit_health))
.with_state(state)
}
async fn audit_health(State(state): State<AuditEndpointState>) -> impl IntoResponse {
if state.legal_token.is_some() {
(StatusCode::OK, "audit endpoint ready").into_response()
} else {
(StatusCode::SERVICE_UNAVAILABLE, "audit endpoint disabled (legal token missing)").into_response()
}
}
#[derive(Deserialize)]
struct AuditQuery {
/// ISO-8601 start of audit window. None = unbounded back.
from: Option<chrono::DateTime<chrono::Utc>>,
/// ISO-8601 end of audit window. None = unbounded forward.
to: Option<chrono::DateTime<chrono::Utc>>,
}
#[derive(Serialize)]
struct AuditWindowEcho {
from: Option<chrono::DateTime<chrono::Utc>>,
to: Option<chrono::DateTime<chrono::Utc>>,
}
#[derive(Serialize)]
struct AuditLogSection {
rows_in_window: usize,
rows: Vec<SubjectAuditRow>,
chain_root: String,
chain_verified: bool,
chain_rows_total: usize,
chain_verification_error: Option<String>,
}
#[derive(Serialize)]
struct AuditResponse {
schema: &'static str,
candidate_id: String,
generated_at: chrono::DateTime<chrono::Utc>,
generated_by: &'static str,
request_window: AuditWindowEcho,
manifest: SubjectManifest,
audit_log: AuditLogSection,
/// Datasets the manifest says contain rows for this subject — caller
/// can issue follow-up queries against the named safe_views to get
/// the actual row projection. Keeping projection out of this endpoint
/// avoids depending on queryd from catalogd.
datasets_referenced: Vec<DatasetRefEcho>,
safe_views_available: Vec<String>,
completeness_attestation: String,
}
#[derive(Serialize)]
struct DatasetRefEcho {
name: String,
key_column: String,
key_value: String,
}
/// Constant-time string comparison to avoid timing leaks on the legal
/// token check. `subtle` would be the standard but introducing a dep
/// for one comparison is overkill — manual byte-eq with an unconditional
/// fold over both byte slices.
fn constant_time_eq(a: &[u8], b: &[u8]) -> bool {
if a.len() != b.len() {
return false;
}
let mut diff: u8 = 0;
for (x, y) in a.iter().zip(b.iter()) {
diff |= x ^ y;
}
diff == 0
}
/// Extract + verify the legal-tier token from the request. Returns
/// Err((status, body)) on any failure (missing header, missing token
/// configured, mismatch). Does NOT log token values.
fn require_legal_auth(
state: &AuditEndpointState,
headers: &HeaderMap,
) -> Result<(), (StatusCode, &'static str)> {
let configured = state.legal_token.as_ref().ok_or((
StatusCode::SERVICE_UNAVAILABLE,
"audit endpoint disabled — no legal token configured on this gateway",
))?;
let provided = headers.get(LEGAL_TOKEN_HEADER).ok_or((
StatusCode::UNAUTHORIZED,
"missing X-Lakehouse-Legal-Token header",
))?;
let provided = provided.to_str().map_err(|_| (
StatusCode::UNAUTHORIZED,
"X-Lakehouse-Legal-Token contains non-ASCII characters",
))?;
if !constant_time_eq(provided.as_bytes(), configured.as_bytes()) {
return Err((StatusCode::UNAUTHORIZED, "X-Lakehouse-Legal-Token mismatch"));
}
Ok(())
}
async fn audit_subject(
State(state): State<AuditEndpointState>,
Path(candidate_id): Path<String>,
Query(q): Query<AuditQuery>,
headers: HeaderMap,
) -> impl IntoResponse {
if let Err((status, msg)) = require_legal_auth(&state, &headers) {
return (status, msg).into_response();
}
if candidate_id.is_empty() {
return (StatusCode::BAD_REQUEST, "candidate_id is empty").into_response();
}
// 1. Load the subject manifest.
let manifest = match state.registry.get_subject(&candidate_id).await {
Some(m) => m,
None => return (
StatusCode::NOT_FOUND,
format!("subject manifest not found for candidate_id={candidate_id}"),
).into_response(),
};
// 2. Read audit rows in window.
let rows = match state.writer.read_rows_in_range(&candidate_id, q.from, q.to).await {
Ok(r) => r,
Err(e) => return (
StatusCode::INTERNAL_SERVER_ERROR,
format!("audit log read failed: {e}"),
).into_response(),
};
// 3. Verify chain end-to-end (full log, not just the windowed slice;
// chain integrity is global, not per-window). chain_root MUST
// come from the actual log tip — taking it from the windowed
// `rows` would lie when `to` is set or the window catches no
// rows. (2026-05-03 opus scrum WARN audit_endpoint.rs:206.)
let (chain_verified, chain_rows_total, chain_root, chain_err) =
match state.writer.verify_chain(&candidate_id).await {
Ok(n) => {
let tip = state.writer.chain_tip(&candidate_id).await
.unwrap_or_else(|| "GENESIS".into());
(true, n, tip, None)
}
Err(e) => (false, 0, String::new(), Some(e)),
};
// 4. Tampering detection: if the manifest claims a non-trivial
// chain root but the log is empty (chain_rows_total == 0), the
// log was deleted between writes. Flag it. (2026-05-03 opus
// scrum WARN subject_audit.rs:347 + audit_endpoint coverage.)
let manifest_root = manifest.audit_log_chain_root.clone();
let log_was_tampered = chain_verified
&& chain_rows_total == 0
&& !manifest_root.is_empty()
&& manifest_root != "GENESIS";
let (chain_verified, chain_err) = if log_was_tampered {
(false, Some(format!(
"manifest expects chain root '{}' but the audit log has 0 rows; log was deleted or wiped",
manifest_root,
)))
} else {
(chain_verified, chain_err)
};
let datasets_referenced = manifest.datasets.iter()
.map(|d| DatasetRefEcho {
name: d.name.clone(),
key_column: d.key_column.clone(),
key_value: d.key_value.clone(),
})
.collect();
let safe_views_available = manifest.safe_views.clone();
let attestation = format!(
"All audit rows for candidate_id={} within [{}, {}] are included. \
HMAC chain verified end-to-end: {} rows total, integrity={}.",
candidate_id,
q.from.map(|d| d.to_rfc3339()).unwrap_or_else(|| "unbounded".into()),
q.to.map(|d| d.to_rfc3339()).unwrap_or_else(|| "unbounded".into()),
chain_rows_total,
if chain_verified { "verified" } else { "BROKEN" },
);
let resp = AuditResponse {
schema: RESPONSE_SCHEMA,
candidate_id: candidate_id.clone(),
generated_at: chrono::Utc::now(),
generated_by: "catalogd",
request_window: AuditWindowEcho { from: q.from, to: q.to },
manifest,
audit_log: AuditLogSection {
rows_in_window: rows.len(),
rows,
chain_root,
chain_verified,
chain_rows_total,
chain_verification_error: chain_err,
},
datasets_referenced,
safe_views_available,
completeness_attestation: attestation,
};
// Log the legal-tier read so it's discoverable in operations review.
// Token value is NEVER logged. Only the fact of the read.
tracing::info!(
candidate_id = %candidate_id,
rows_in_window = resp.audit_log.rows_in_window,
chain_verified = resp.audit_log.chain_verified,
"legal-tier audit response served"
);
(StatusCode::OK, Json(resp)).into_response()
}
#[cfg(test)]
mod tests {
use super::*;
use crate::subject_audit::SubjectAuditWriter;
use object_store::memory::InMemory;
use shared::types::{
AuditAccessor, BiometricConsent, BiometricConsentStatus, ConsentStatus,
GeneralPiiConsent, SubjectAuditRow, SubjectConsent, SubjectRetention,
SubjectStatus, SubjectVertical,
};
fn fixture_manifest(candidate_id: &str) -> SubjectManifest {
SubjectManifest {
schema: "subject_manifest.v1".into(),
candidate_id: candidate_id.into(),
created_at: chrono::Utc::now(),
updated_at: chrono::Utc::now(),
status: SubjectStatus::Active,
vertical: SubjectVertical::Unknown,
consent: SubjectConsent {
general_pii: GeneralPiiConsent {
status: ConsentStatus::PendingBackfillReview,
version: String::new(),
given_at: None,
withdrawn_at: None,
},
biometric: BiometricConsent {
status: BiometricConsentStatus::NeverCollected,
retention_until: None,
},
},
retention: SubjectRetention {
general_pii_until: chrono::Utc::now() + chrono::Duration::days(365 * 4),
policy: "test".into(),
},
datasets: vec![],
safe_views: vec![],
audit_log_path: String::new(),
audit_log_chain_root: String::new(),
biometric_collection: None,
}
}
fn fixture_audit_row(candidate_id: &str) -> SubjectAuditRow {
SubjectAuditRow {
schema: "subject_audit.v1".into(),
ts: chrono::Utc::now(),
candidate_id: candidate_id.into(),
accessor: AuditAccessor {
kind: "test".into(),
daemon: "test".into(),
purpose: "test".into(),
trace_id: String::new(),
},
fields_accessed: vec!["name".into()],
result: "success".into(),
prev_chain_hash: String::new(),
row_hmac: String::new(),
}
}
async fn fixture_state_with_token(token: &str) -> AuditEndpointState {
let store: Arc<dyn object_store::ObjectStore> = Arc::new(InMemory::new());
let registry = Registry::new(store.clone());
let writer = Arc::new(SubjectAuditWriter::with_inline_key(
store, (0u8..32).collect(),
));
AuditEndpointState {
registry,
writer,
legal_token: Some(Arc::new(token.into())),
}
}
#[test]
fn constant_time_eq_basic() {
assert!(constant_time_eq(b"abc", b"abc"));
assert!(!constant_time_eq(b"abc", b"abd"));
assert!(!constant_time_eq(b"abc", b"abcd"));
assert!(constant_time_eq(b"", b""));
}
#[tokio::test]
async fn missing_legal_token_returns_503() {
let state = AuditEndpointState {
registry: Registry::new(Arc::new(InMemory::new())),
writer: Arc::new(SubjectAuditWriter::with_inline_key(
Arc::new(InMemory::new()), (0u8..32).collect(),
)),
legal_token: None,
};
let headers = HeaderMap::new();
let r = require_legal_auth(&state, &headers);
assert!(matches!(r, Err((StatusCode::SERVICE_UNAVAILABLE, _))));
}
#[tokio::test]
async fn missing_header_returns_401() {
let state = fixture_state_with_token("test-token-must-be-long-enough").await;
let headers = HeaderMap::new();
let r = require_legal_auth(&state, &headers);
assert!(matches!(r, Err((StatusCode::UNAUTHORIZED, _))));
}
#[tokio::test]
async fn wrong_token_returns_401() {
let state = fixture_state_with_token("correct-token-must-be-long-enough").await;
let mut headers = HeaderMap::new();
headers.insert(LEGAL_TOKEN_HEADER, "wrong".parse().unwrap());
let r = require_legal_auth(&state, &headers);
assert!(matches!(r, Err((StatusCode::UNAUTHORIZED, _))));
}
#[tokio::test]
async fn correct_token_passes_auth() {
let state = fixture_state_with_token("correct-token-must-be-long-enough").await;
let mut headers = HeaderMap::new();
headers.insert(LEGAL_TOKEN_HEADER, "correct-token-must-be-long-enough".parse().unwrap());
let r = require_legal_auth(&state, &headers);
assert!(r.is_ok());
}
#[tokio::test]
async fn audit_response_assembly_full_path() {
let state = fixture_state_with_token("test-token-must-be-long-enough").await;
// Plant a manifest + 3 audit rows.
state.registry.put_subject(fixture_manifest("CAND-AUDIT-1")).await.unwrap();
for _ in 0..3 {
state.writer.append(fixture_audit_row("CAND-AUDIT-1")).await.unwrap();
}
// Read rows in unbounded window.
let rows = state.writer
.read_rows_in_range("CAND-AUDIT-1", None, None)
.await
.unwrap();
assert_eq!(rows.len(), 3);
// Verify chain integrity.
let n = state.writer.verify_chain("CAND-AUDIT-1").await.unwrap();
assert_eq!(n, 3);
}
#[tokio::test]
async fn audit_response_window_filters_rows() {
let state = fixture_state_with_token("test-token-must-be-long-enough").await;
state.registry.put_subject(fixture_manifest("CAND-WIN-1")).await.unwrap();
// Append 5 rows.
let mut row_times = Vec::new();
for _ in 0..5 {
let row = fixture_audit_row("CAND-WIN-1");
row_times.push(row.ts);
state.writer.append(row).await.unwrap();
tokio::time::sleep(std::time::Duration::from_millis(2)).await;
}
// Window covering only the middle 3 rows.
let from = row_times[1];
let to = row_times[3];
let rows = state.writer
.read_rows_in_range("CAND-WIN-1", Some(from), Some(to))
.await
.unwrap();
assert!(rows.len() >= 3, "expected ≥3 rows in window; got {}", rows.len());
assert!(rows.len() <= 3, "expected ≤3 rows in window; got {}", rows.len());
}
#[tokio::test]
async fn empty_token_file_results_in_disabled_endpoint() {
let tmp = std::env::temp_dir().join(format!("legal_empty_{}.tok", std::process::id()));
tokio::fs::write(&tmp, "").await.unwrap();
let store: Arc<dyn object_store::ObjectStore> = Arc::new(InMemory::new());
let registry = Registry::new(store.clone());
let writer = Arc::new(SubjectAuditWriter::with_inline_key(store, (0u8..32).collect()));
let state = AuditEndpointState::new(registry, writer, &tmp).await;
assert!(state.legal_token.is_none());
let _ = tokio::fs::remove_file(&tmp).await;
}
#[tokio::test]
async fn short_token_file_rejected_at_load() {
let tmp = std::env::temp_dir().join(format!("legal_short_{}.tok", std::process::id()));
tokio::fs::write(&tmp, "tooshort").await.unwrap();
let store: Arc<dyn object_store::ObjectStore> = Arc::new(InMemory::new());
let registry = Registry::new(store.clone());
let writer = Arc::new(SubjectAuditWriter::with_inline_key(store, (0u8..32).collect()));
let state = AuditEndpointState::new(registry, writer, &tmp).await;
assert!(state.legal_token.is_none());
let _ = tokio::fs::remove_file(&tmp).await;
}
}
@@ -1,341 +0,0 @@
//! Backfill subject manifests from a parquet source.
//!
//! Specification: docs/specs/SUBJECT_MANIFESTS_ON_CATALOGD.md §5 Step 3.
//!
//! For each row in the source parquet, creates a SubjectManifest with
//! the BIPA-defensible defaults from the spec:
//! - vertical = unknown (HIPAA fail-closed routing)
//! - consent.general_pii = pending_backfill_review (NOT inferred_existing)
//! - consent.biometric = never_collected (no biometric backfill)
//! - retention.general_pii_until = now + 4 years (default policy)
//!
//! Idempotent: if a manifest already exists for a candidate_id, the
//! backfill skips it. Re-runs are safe.
//!
//! Conservative defaults: --limit 1000 by default. Pass --all to do
//! the full source. Pass --concurrency to bound parallel writes.
//!
//! Usage examples:
//! cargo run --bin backfill_subjects -- \
//! --source data/datasets/workers_500k.parquet \
//! --dataset workers_500k \
//! --key-column worker_id \
//! --candidate-id-prefix WORKER- \
//! --limit 100 \
//! --dry-run
//!
//! cargo run --bin backfill_subjects -- \
//! --source data/datasets/workers_500k.parquet \
//! --dataset workers_500k \
//! --key-column worker_id \
//! --candidate-id-prefix WORKER- \
//! --safe-view workers_safe \
//! --all
//!
//! On the live host the binary reads from / writes to ./data so it
//! integrates with the running catalogd's persistence path.
use catalogd::registry::Registry;
use parquet::arrow::arrow_reader::ParquetRecordBatchReaderBuilder;
use shared::types::{
BiometricConsent, BiometricConsentStatus, ConsentStatus, GeneralPiiConsent,
SubjectConsent, SubjectDatasetRef, SubjectManifest, SubjectRetention,
SubjectStatus, SubjectVertical,
};
use std::fs::File;
use std::path::PathBuf;
use std::sync::Arc;
use std::sync::atomic::{AtomicUsize, Ordering};
use storaged::backend;
const DEFAULT_LIMIT: usize = 1000;
const DEFAULT_CONCURRENCY: usize = 32;
const DEFAULT_RETENTION_YEARS: i64 = 4;
#[derive(Debug)]
struct Args {
source: PathBuf,
dataset_name: String,
key_column: String,
candidate_id_prefix: String,
safe_view: Option<String>,
storage_root: PathBuf,
limit: Option<usize>,
concurrency: usize,
dry_run: bool,
}
fn parse_args() -> Result<Args, String> {
let argv: Vec<String> = std::env::args().collect();
let mut source: Option<PathBuf> = None;
let mut dataset_name: Option<String> = None;
let mut key_column: Option<String> = None;
let mut candidate_id_prefix: String = String::new();
let mut safe_view: Option<String> = None;
let mut storage_root: PathBuf = PathBuf::from("./data");
let mut limit: Option<usize> = Some(DEFAULT_LIMIT);
let mut concurrency: usize = DEFAULT_CONCURRENCY;
let mut dry_run = false;
let mut i = 1;
while i < argv.len() {
let arg = &argv[i];
let next = || -> Result<String, String> {
argv.get(i + 1).cloned().ok_or_else(|| format!("{arg} needs a value"))
};
match arg.as_str() {
"--source" => { source = Some(PathBuf::from(next()?)); i += 2; }
"--dataset" => { dataset_name = Some(next()?); i += 2; }
"--key-column" => { key_column = Some(next()?); i += 2; }
"--candidate-id-prefix" => { candidate_id_prefix = next()?; i += 2; }
"--safe-view" => { safe_view = Some(next()?); i += 2; }
"--storage-root" => { storage_root = PathBuf::from(next()?); i += 2; }
"--limit" => { limit = Some(next()?.parse().map_err(|e| format!("--limit: {e}"))?); i += 2; }
"--all" => { limit = None; i += 1; }
"--concurrency" => { concurrency = next()?.parse().map_err(|e| format!("--concurrency: {e}"))?; i += 2; }
"--dry-run" => { dry_run = true; i += 1; }
"-h" | "--help" => { print_help(); std::process::exit(0); }
other => return Err(format!("unknown arg: {other}")),
}
}
Ok(Args {
source: source.ok_or("missing --source")?,
dataset_name: dataset_name.ok_or("missing --dataset")?,
key_column: key_column.ok_or("missing --key-column")?,
candidate_id_prefix,
safe_view,
storage_root,
limit,
concurrency,
dry_run,
})
}
fn print_help() {
eprintln!("backfill_subjects — populate subject manifests from a parquet source\n");
eprintln!("Usage: backfill_subjects [flags]\n");
eprintln!("Required:");
eprintln!(" --source PATH parquet file containing subject identifiers");
eprintln!(" --dataset NAME catalogd dataset name (must already exist)");
eprintln!(" --key-column COL column in the parquet that holds subject identifiers\n");
eprintln!("Optional:");
eprintln!(" --candidate-id-prefix STR prefix added to each row's value to form candidate_id");
eprintln!(" (e.g. 'WORKER-' on a worker_id int64 column)");
eprintln!(" --safe-view NAME name of an AiView that safely projects this subject's data");
eprintln!(" --storage-root PATH local-filesystem catalog root (default: ./data)");
eprintln!(" --limit N process at most N rows (default: {DEFAULT_LIMIT})");
eprintln!(" --all process every row in the source");
eprintln!(" --concurrency N max concurrent writes (default: {DEFAULT_CONCURRENCY})");
eprintln!(" --dry-run parse + count + sample, don't write anything");
}
#[tokio::main(flavor = "multi_thread", worker_threads = 4)]
async fn main() {
let args = match parse_args() {
Ok(a) => a,
Err(e) => {
eprintln!("error: {e}");
print_help();
std::process::exit(2);
}
};
if let Err(e) = run(args).await {
eprintln!("backfill failed: {e}");
std::process::exit(1);
}
}
async fn run(args: Args) -> Result<(), String> {
eprintln!("[backfill] source: {}", args.source.display());
eprintln!("[backfill] dataset: {}", args.dataset_name);
eprintln!("[backfill] key: {} (prefix: {:?})", args.key_column, args.candidate_id_prefix);
eprintln!("[backfill] limit: {}", args.limit.map(|n| n.to_string()).unwrap_or("all".into()));
eprintln!("[backfill] dry-run: {}", args.dry_run);
// Stand up catalogd over the same local FS the running daemon uses.
let store = backend::init_local(args.storage_root.to_str().ok_or("storage-root not utf-8")?);
let reg = Arc::new(Registry::new(store));
reg.rebuild().await?;
if reg.get_by_name(&args.dataset_name).await.is_none() {
return Err(format!(
"dataset '{}' not found in catalog at {}; backfill needs the dataset registered first",
args.dataset_name, args.storage_root.display(),
));
}
eprintln!("[backfill] dataset '{}' exists in catalog ✓", args.dataset_name);
// Open parquet reader.
let file = File::open(&args.source).map_err(|e| format!("open {}: {e}", args.source.display()))?;
let builder = ParquetRecordBatchReaderBuilder::try_new(file).map_err(|e| e.to_string())?;
let total_rows = builder.metadata().file_metadata().num_rows() as usize;
eprintln!("[backfill] parquet rows: {total_rows}");
// Project only the key column for IO efficiency.
let schema = builder.schema().clone();
let col_idx = schema.index_of(&args.key_column)
.map_err(|_| format!("column '{}' not found; parquet has: {:?}",
args.key_column,
schema.fields().iter().map(|f| f.name()).collect::<Vec<_>>(),
))?;
let projection = parquet::arrow::ProjectionMask::roots(builder.parquet_schema(), [col_idx]);
let mut reader = builder.with_projection(projection).build().map_err(|e| e.to_string())?;
// Collect candidate IDs (limited).
let cap = args.limit.unwrap_or(total_rows);
let mut candidate_ids: Vec<String> = Vec::with_capacity(cap.min(total_rows));
let mut rows_seen = 0usize;
'outer: while let Some(batch_result) = reader.next() {
let batch = batch_result.map_err(|e| format!("batch: {e}"))?;
let column = batch.column(0); // single projected column
for row in 0..batch.num_rows() {
if let Some(limit) = args.limit {
if candidate_ids.len() >= limit { break 'outer; }
}
rows_seen += 1;
let raw = format_cell_value(column, row)?;
candidate_ids.push(format!("{}{}", args.candidate_id_prefix, raw));
}
}
eprintln!("[backfill] collected {} candidate_ids ({} rows scanned)", candidate_ids.len(), rows_seen);
// Sample for the operator.
eprintln!("[backfill] sample (first 5):");
for cid in candidate_ids.iter().take(5) {
eprintln!(" - {cid}");
}
if args.dry_run {
eprintln!("[backfill] DRY-RUN — no writes. Re-run without --dry-run to commit.");
return Ok(());
}
// Write manifests with bounded concurrency.
let now = chrono::Utc::now();
let retention_until = now + chrono::Duration::days(365 * DEFAULT_RETENTION_YEARS);
let safe_views: Vec<String> = args.safe_view.into_iter().collect();
let dataset_ref = SubjectDatasetRef {
name: args.dataset_name.clone(),
key_column: args.key_column.clone(),
key_value: String::new(), // filled per-subject below
};
let attempted = Arc::new(AtomicUsize::new(0));
let inserted = Arc::new(AtomicUsize::new(0));
let skipped = Arc::new(AtomicUsize::new(0));
let failed = Arc::new(AtomicUsize::new(0));
let progress_every = ((candidate_ids.len() / 20).max(1)).min(5_000);
// Bounded concurrency via Semaphore.
let sem = Arc::new(tokio::sync::Semaphore::new(args.concurrency));
let mut handles = Vec::with_capacity(candidate_ids.len());
for (idx, cid) in candidate_ids.into_iter().enumerate() {
let permit = sem.clone().acquire_owned().await.map_err(|e| e.to_string())?;
let reg = reg.clone();
let mut ds_ref = dataset_ref.clone();
// strip_prefix gives one-shot semantics; trim_start_matches strips
// repeated occurrences (a "WORKER-WORKER-1" id would lose both
// prefixes). 2026-05-03 opus scrum WARN at backfill_subjects.rs:189.
ds_ref.key_value = cid.strip_prefix(&args.candidate_id_prefix)
.unwrap_or(&cid).to_string();
let safe_views = safe_views.clone();
let attempted = attempted.clone();
let inserted = inserted.clone();
let skipped = skipped.clone();
let failed = failed.clone();
let handle = tokio::spawn(async move {
let _permit = permit;
attempted.fetch_add(1, Ordering::Relaxed);
// Idempotency: skip if subject already exists.
if reg.get_subject(&cid).await.is_some() {
skipped.fetch_add(1, Ordering::Relaxed);
return;
}
let manifest = SubjectManifest {
schema: "subject_manifest.v1".into(),
candidate_id: cid.clone(),
created_at: now,
updated_at: now,
status: SubjectStatus::Active,
vertical: SubjectVertical::Unknown,
consent: SubjectConsent {
general_pii: GeneralPiiConsent {
status: ConsentStatus::PendingBackfillReview,
version: String::new(),
given_at: None,
withdrawn_at: None,
},
biometric: BiometricConsent {
status: BiometricConsentStatus::NeverCollected,
retention_until: None,
},
},
retention: SubjectRetention {
general_pii_until: retention_until,
policy: "4_year_default".into(),
},
datasets: vec![ds_ref],
safe_views,
audit_log_path: String::new(),
audit_log_chain_root: String::new(),
biometric_collection: None,
};
match reg.put_subject(manifest).await {
Ok(_) => { inserted.fetch_add(1, Ordering::Relaxed); }
Err(e) => {
failed.fetch_add(1, Ordering::Relaxed);
eprintln!(" ✗ {cid}: {e}");
}
}
let cur = attempted.load(Ordering::Relaxed);
if cur % progress_every == 0 {
eprintln!("[backfill] progress: {} attempted ({} inserted, {} skipped, {} failed)",
cur, inserted.load(Ordering::Relaxed),
skipped.load(Ordering::Relaxed),
failed.load(Ordering::Relaxed));
}
let _ = idx;
});
handles.push(handle);
}
for h in handles {
let _ = h.await;
}
eprintln!();
eprintln!("──────────────────────────────────────────────────────────────────");
eprintln!("[backfill] done");
eprintln!("[backfill] attempted: {}", attempted.load(Ordering::Relaxed));
eprintln!("[backfill] inserted: {}", inserted.load(Ordering::Relaxed));
eprintln!("[backfill] skipped: {} (already existed — idempotent re-run)", skipped.load(Ordering::Relaxed));
eprintln!("[backfill] failed: {}", failed.load(Ordering::Relaxed));
eprintln!("[backfill] subjects in catalog now: {}", reg.subjects_count().await);
Ok(())
}
/// Format a single cell value as a string for use in the candidate_id.
/// Supports the integer + string types most likely to be subject keys.
fn format_cell_value(array: &Arc<dyn arrow::array::Array>, row: usize) -> Result<String, String> {
use arrow::array::{Int32Array, Int64Array, StringArray, UInt32Array, UInt64Array};
use arrow::datatypes::DataType;
if array.is_null(row) {
return Err(format!("row {row}: key column is null — cannot form candidate_id"));
}
let dt = array.data_type();
let s = match dt {
DataType::Int64 => array.as_any().downcast_ref::<Int64Array>()
.ok_or("int64 downcast")?.value(row).to_string(),
DataType::Int32 => array.as_any().downcast_ref::<Int32Array>()
.ok_or("int32 downcast")?.value(row).to_string(),
DataType::UInt64 => array.as_any().downcast_ref::<UInt64Array>()
.ok_or("uint64 downcast")?.value(row).to_string(),
DataType::UInt32 => array.as_any().downcast_ref::<UInt32Array>()
.ok_or("uint32 downcast")?.value(row).to_string(),
DataType::Utf8 => array.as_any().downcast_ref::<StringArray>()
.ok_or("utf8 downcast")?.value(row).to_string(),
other => return Err(format!("unsupported key column type: {other:?}")),
};
Ok(s)
}
@@ -1,235 +0,0 @@
//! Cross-runtime parity helper for subject-audit chain.
//!
//! Specification: docs/specs/SUBJECT_MANIFESTS_ON_CATALOGD.md §5 Step 8.
//!
//! This binary is consumed by the Go-repo's
//! scripts/cutover/parity/subject_audit_parity.sh.
//! Go counterpart: scripts/cutover/parity/subject_audit_helper/main.go
//! (in the Go repo). Both helpers are kept in lockstep by the parity
//! script's byte-equality assertions — change one, change both.
//!
//! Both helpers MUST produce byte-identical output for the same inputs.
//! Divergence here is a parity break — a SubjectManifest written by Rust
//! that Go cannot verify, or vice versa.
//!
//! Two modes:
//!
//! --known-answer
//! Print the canonical bytes + HMAC of a hardcoded fixture row.
//! The Go helper must produce IDENTICAL bytes + IDENTICAL hash.
//! Hardcoded fixture matches Go test TestKnownAnswerVector.
//!
//! --verify <audit_log_path> --key <key_path>
//! Parse the JSONL audit log, replay the HMAC chain. Print
//! JSON: {"count": N, "tip": "<hash|GENESIS>", "verified": bool, "error": "<msg|null>"}.
//!
//! Output format: ONE JSON object per stdout, terminating newline. The
//! parity script diffs Rust stdout vs Go stdout via `diff -q`.
use catalogd::subject_audit::SubjectAuditWriter;
use hmac::{Hmac, Mac};
use object_store::ObjectStore;
use object_store::memory::InMemory;
use serde::Serialize;
use sha2::Sha256;
use shared::types::{AuditAccessor, SubjectAuditRow};
use std::collections::BTreeMap;
use std::path::PathBuf;
use std::sync::Arc;
type HmacSha256 = Hmac<Sha256>;
const GENESIS: &str = "GENESIS";
/// Same canonical-JSON algorithm as crates/catalogd/src/subject_audit.rs.
/// Reproduced here so the helper does not depend on internal-only items
/// in that file. If the algorithm there changes, change it here AND in
/// the Go helper in lockstep.
fn canonical_json(v: &serde_json::Value) -> Vec<u8> {
fn rewrite(v: &serde_json::Value) -> serde_json::Value {
match v {
serde_json::Value::Object(map) => {
let sorted: BTreeMap<String, serde_json::Value> = map
.iter()
.map(|(k, v)| (k.clone(), rewrite(v)))
.collect();
serde_json::Value::Object(sorted.into_iter().collect())
}
serde_json::Value::Array(arr) => {
serde_json::Value::Array(arr.iter().map(rewrite).collect())
}
other => other.clone(),
}
}
serde_json::to_vec(&rewrite(v)).expect("canonical-json serialize")
}
fn canonical_row_bytes(row: &SubjectAuditRow) -> Vec<u8> {
let mut v: serde_json::Value = serde_json::to_value(row).expect("row to value");
if let Some(obj) = v.as_object_mut() {
obj.remove("row_hmac");
}
canonical_json(&v)
}
fn compute_hmac(key: &[u8], prev: &str, canonical: &[u8]) -> String {
let mut mac = <HmacSha256 as Mac>::new_from_slice(key).expect("HMAC accepts any key length");
mac.update(prev.as_bytes());
mac.update(canonical);
let result = mac.finalize().into_bytes();
const HEX: &[u8; 16] = b"0123456789abcdef";
let mut s = String::with_capacity(64);
for byte in result {
s.push(HEX[(byte >> 4) as usize] as char);
s.push(HEX[(byte & 0x0f) as usize] as char);
}
s
}
fn deterministic_key() -> Vec<u8> {
(0u8..32).collect()
}
/// Print to stderr + exit(2). Never returns. Used in place of `.expect()`
/// on argv / file reads so failures produce a clean usage error rather
/// than a Rust panic backtrace that the parity script would mistake
/// for a parity break.
fn die(msg: &str) -> ! {
eprintln!("error: {msg}");
std::process::exit(2);
}
#[derive(Serialize)]
struct KnownAnswerOut {
mode: &'static str,
canonical: String,
hmac: String,
canonical_bytes_len: usize,
}
#[derive(Serialize)]
struct VerifyOut {
mode: &'static str,
count: usize,
tip: String,
verified: bool,
error: Option<String>,
}
fn known_answer() {
let row = SubjectAuditRow {
schema: "subject_audit.v1".into(),
ts: chrono::DateTime::parse_from_rfc3339("2026-05-03T12:00:00Z")
.unwrap()
.with_timezone(&chrono::Utc),
candidate_id: "WORKER-FIXED".into(),
accessor: AuditAccessor {
kind: "gateway_lookup".into(),
daemon: "gateway".into(),
purpose: "parity_test".into(),
trace_id: "trace-fixed".into(),
},
fields_accessed: vec!["name".into()],
result: "success".into(),
prev_chain_hash: GENESIS.into(),
row_hmac: String::new(),
};
let canon = canonical_row_bytes(&row);
let hmac = compute_hmac(&deterministic_key(), GENESIS, &canon);
let out = KnownAnswerOut {
mode: "known_answer",
canonical: String::from_utf8(canon.clone()).expect("canonical is utf-8"),
hmac,
canonical_bytes_len: canon.len(),
};
println!("{}", serde_json::to_string(&out).unwrap());
}
#[tokio::main(flavor = "current_thread")]
async fn main() {
let argv: Vec<String> = std::env::args().collect();
let mut mode_known_answer = false;
let mut audit_path: Option<PathBuf> = None;
let mut key_path: Option<PathBuf> = None;
// Argv parsing fails via stderr+exit, never via panic. The parity
// script captures stdout for byte-comparison; a Rust panic backtrace
// would land in stdout (the script merges 2>&1) and read as a parity
// break instead of a usage error. (Caught 2026-05-03 opus scrum WARN.)
let mut i = 1;
while i < argv.len() {
match argv[i].as_str() {
"--known-answer" => {
mode_known_answer = true;
i += 1;
}
"--verify" => {
let p = argv.get(i + 1).unwrap_or_else(|| die("--verify needs a path"));
audit_path = Some(PathBuf::from(p));
i += 2;
}
"--key" => {
let p = argv.get(i + 1).unwrap_or_else(|| die("--key needs a path"));
key_path = Some(PathBuf::from(p));
i += 2;
}
"-h" | "--help" => {
eprintln!("parity_subject_audit --known-answer");
eprintln!("parity_subject_audit --verify <audit_log_path> --key <key_path>");
std::process::exit(0);
}
other => {
eprintln!("unknown arg: {other}");
std::process::exit(2);
}
}
}
if mode_known_answer {
known_answer();
return;
}
let audit_path = audit_path.unwrap_or_else(|| die("need --known-answer OR --verify <path> --key <path>"));
let key_path = key_path.unwrap_or_else(|| die("--verify also needs --key"));
let key = std::fs::read(&key_path).unwrap_or_else(|e| die(&format!("read key file: {e}")));
let candidate_id = audit_path
.file_name()
.and_then(|s| s.to_str())
.and_then(|s| s.strip_suffix(".audit.jsonl"))
.unwrap_or_else(|| die("audit log path must end with <candidate_id>.audit.jsonl"))
.to_string();
// Stand up an in-memory object store, seed it with the audit log
// bytes at the canonical key, then ask SubjectAuditWriter to verify.
// This way we exercise the SAME verify_chain function the production
// gateway calls — not a re-implementation that might drift.
let store: Arc<dyn ObjectStore> = Arc::new(InMemory::new());
let bytes = std::fs::read(&audit_path).expect("read audit log");
let log_key = format!("_catalog/subjects/{}.audit.jsonl", candidate_id);
storaged::ops::put(&store, &log_key, bytes::Bytes::from(bytes))
.await
.expect("seed object store");
let writer = SubjectAuditWriter::with_inline_key(store, key);
let result = writer.verify_chain(&candidate_id).await;
let tip = writer.chain_tip(&candidate_id).await.unwrap_or(GENESIS.into());
let out = match result {
Ok(count) => VerifyOut {
mode: "verify",
count,
tip,
verified: true,
error: None,
},
Err(e) => VerifyOut {
mode: "verify",
count: 0,
tip: GENESIS.into(),
verified: false,
error: Some(e),
},
};
println!("{}", serde_json::to_string(&out).unwrap());
}
-376
View File
@@ -1,376 +0,0 @@
//! Daily retention sweep for subject manifests.
//!
//! Specification: docs/specs/SUBJECT_MANIFESTS_ON_CATALOGD.md §5 Step 7:
//! "Subjects whose retention.general_pii_until < now AND status != erased
//! get marked for review (don't auto-delete; legal needs to approve)."
//!
//! Per shared::types::BiometricConsent doc-comment (BIPA requirement):
//! "max 3 years from last interaction. Implementation MUST enforce
//! daily expiration sweep against this field."
//!
//! Therefore this binary checks BOTH retention clocks and reports any
//! subject whose general-pii window OR biometric window has expired
//! while the subject is not already erased / already-flagged.
//!
//! It does NOT mutate subject manifests. It produces a JSONL review
//! queue at:
//! data/_catalog/subjects/_retention_sweep_<YYYY-MM-DD>.jsonl
//!
//! Operators / legal review the queue and act:
//! - extend retention (legal contract update),
//! - flip status to retention_expired,
//! - schedule erasure.
//!
//! Usage:
//! cargo run --bin retention_sweep # dry-run, stderr only
//! cargo run --bin retention_sweep -- --apply # also write report file
//! cargo run --bin retention_sweep -- --as-of 2030-01-01T00:00:00Z
//! cargo run --bin retention_sweep -- --storage-root /var/lib/lakehouse/data --apply
use catalogd::registry::Registry;
use chrono::{DateTime, Utc};
use serde::Serialize;
use shared::types::{BiometricConsentStatus, SubjectManifest, SubjectStatus};
use std::path::PathBuf;
use std::sync::Arc;
use storaged::backend;
#[derive(Debug)]
struct Args {
storage_root: PathBuf,
apply: bool,
as_of: Option<DateTime<Utc>>,
}
fn parse_args() -> Result<Args, String> {
let argv: Vec<String> = std::env::args().collect();
let mut storage_root = PathBuf::from("./data");
let mut apply = false;
let mut as_of: Option<DateTime<Utc>> = None;
let mut i = 1;
while i < argv.len() {
let arg = &argv[i];
let next = || -> Result<String, String> {
argv.get(i + 1).cloned().ok_or_else(|| format!("{arg} needs a value"))
};
match arg.as_str() {
"--storage-root" => { storage_root = PathBuf::from(next()?); i += 2; }
"--apply" => { apply = true; i += 1; }
"--as-of" => {
let raw = next()?;
as_of = Some(raw.parse().map_err(|e| format!("--as-of (need RFC3339): {e}"))?);
i += 2;
}
"-h" | "--help" => { print_help(); std::process::exit(0); }
other => return Err(format!("unknown arg: {other}")),
}
}
Ok(Args { storage_root, apply, as_of })
}
fn print_help() {
eprintln!("retention_sweep — daily retention check on subject manifests");
eprintln!();
eprintln!("Per docs/specs/SUBJECT_MANIFESTS_ON_CATALOGD.md §5 Step 7.");
eprintln!("Reports overdue subjects to a JSONL review queue. Does NOT");
eprintln!("auto-delete. Legal must approve every action.");
eprintln!();
eprintln!("Flags:");
eprintln!(" --storage-root PATH local-filesystem catalog root (default: ./data)");
eprintln!(" --apply write report to data/_catalog/subjects/_retention_sweep_<date>.jsonl");
eprintln!(" --as-of RFC3339 use this timestamp as 'now' (test/forecast helper)");
}
#[derive(Debug, PartialEq, Clone, Copy)]
enum OverdueReason {
GeneralPii,
Biometric,
Both,
}
impl OverdueReason {
fn as_str(self) -> &'static str {
match self {
OverdueReason::GeneralPii => "general_pii_expired",
OverdueReason::Biometric => "biometric_expired",
OverdueReason::Both => "both_expired",
}
}
}
#[derive(Debug, Serialize)]
struct OverdueRow<'a> {
candidate_id: &'a str,
status: &'a str,
general_pii_until: DateTime<Utc>,
days_overdue_general: i64,
biometric_status: &'a str,
#[serde(skip_serializing_if = "Option::is_none")]
biometric_retention_until: Option<DateTime<Utc>>,
#[serde(skip_serializing_if = "Option::is_none")]
days_overdue_biometric: Option<i64>,
reason: &'a str,
swept_at: DateTime<Utc>,
}
/// Skipped statuses (idempotent across daily runs):
/// - Erased: subject's data is already gone; nothing to review.
/// - RetentionExpired: subject is already flagged; do not re-fire.
///
/// Actionable statuses: PendingConsent, Active, Withdrawn — each can
/// still hold PII rows on disk past the retention window.
fn is_overdue(subject: &SubjectManifest, now: DateTime<Utc>) -> Option<OverdueReason> {
if matches!(subject.status, SubjectStatus::Erased | SubjectStatus::RetentionExpired) {
return None;
}
let general_overdue = subject.retention.general_pii_until < now;
let biometric_overdue = subject
.consent
.biometric
.retention_until
.map(|t| t < now)
.unwrap_or(false);
match (general_overdue, biometric_overdue) {
(true, true) => Some(OverdueReason::Both),
(true, false) => Some(OverdueReason::GeneralPii),
(false, true) => Some(OverdueReason::Biometric),
(false, false) => None,
}
}
fn status_str(s: &SubjectStatus) -> &'static str {
match s {
SubjectStatus::PendingConsent => "pending_consent",
SubjectStatus::Active => "active",
SubjectStatus::Withdrawn => "withdrawn",
SubjectStatus::RetentionExpired => "retention_expired",
SubjectStatus::Erased => "erased",
}
}
fn biometric_status_str(s: &BiometricConsentStatus) -> &'static str {
match s {
BiometricConsentStatus::NeverCollected => "never_collected",
BiometricConsentStatus::Pending => "pending",
BiometricConsentStatus::Given => "given",
BiometricConsentStatus::Withdrawn => "withdrawn",
BiometricConsentStatus::Expired => "expired",
}
}
#[tokio::main(flavor = "multi_thread", worker_threads = 2)]
async fn main() {
let args = match parse_args() {
Ok(a) => a,
Err(e) => {
eprintln!("error: {e}");
print_help();
std::process::exit(2);
}
};
if let Err(e) = run(args).await {
eprintln!("retention_sweep failed: {e}");
std::process::exit(1);
}
}
async fn run(args: Args) -> Result<(), String> {
let now = args.as_of.unwrap_or_else(Utc::now);
eprintln!("[retention_sweep] storage-root: {}", args.storage_root.display());
eprintln!("[retention_sweep] now (sweep clock): {}", now.to_rfc3339());
eprintln!("[retention_sweep] apply: {}", args.apply);
let store = backend::init_local(args.storage_root.to_str().ok_or("storage-root not utf-8")?);
let reg = Arc::new(Registry::new(store));
reg.rebuild().await?;
let subjects = reg.list_subjects().await;
eprintln!("[retention_sweep] subjects loaded: {}", subjects.len());
let mut overdue_rows: Vec<OverdueRow> = Vec::new();
let mut by_reason: std::collections::BTreeMap<&'static str, usize> = Default::default();
for s in &subjects {
if let Some(reason) = is_overdue(s, now) {
let reason_str: &'static str = reason.as_str();
*by_reason.entry(reason_str).or_insert(0) += 1;
overdue_rows.push(OverdueRow {
candidate_id: &s.candidate_id,
status: status_str(&s.status),
general_pii_until: s.retention.general_pii_until,
days_overdue_general: (now - s.retention.general_pii_until).num_days(),
biometric_status: biometric_status_str(&s.consent.biometric.status),
biometric_retention_until: s.consent.biometric.retention_until,
days_overdue_biometric: s
.consent
.biometric
.retention_until
.map(|t| (now - t).num_days()),
reason: reason_str,
swept_at: now,
});
}
}
eprintln!("[retention_sweep] overdue subjects: {}", overdue_rows.len());
for (reason, n) in &by_reason {
eprintln!("[retention_sweep] {reason}: {n}");
}
if overdue_rows.is_empty() {
eprintln!("[retention_sweep] nothing to do; all subjects within retention window.");
return Ok(());
}
eprintln!("[retention_sweep] sample (first 5):");
for row in overdue_rows.iter().take(5) {
eprintln!(
" - {} status={} reason={} general_overdue_days={}",
row.candidate_id, row.status, row.reason, row.days_overdue_general
);
}
if !args.apply {
eprintln!();
eprintln!("[retention_sweep] DRY-RUN: no file written. Re-run with --apply to persist.");
return Ok(());
}
let date_stamp = now.format("%Y-%m-%d");
let report_path = args
.storage_root
.join("_catalog")
.join("subjects")
.join(format!("_retention_sweep_{date_stamp}.jsonl"));
if let Some(parent) = report_path.parent() {
std::fs::create_dir_all(parent).map_err(|e| format!("mkdir {parent:?}: {e}"))?;
}
let mut buf = String::new();
for row in &overdue_rows {
let line = serde_json::to_string(row).map_err(|e| format!("serialize row: {e}"))?;
buf.push_str(&line);
buf.push('\n');
}
std::fs::write(&report_path, &buf).map_err(|e| format!("write {report_path:?}: {e}"))?;
eprintln!("[retention_sweep] report written: {}", report_path.display());
eprintln!("[retention_sweep] action required by legal/operator. no manifests were mutated.");
Ok(())
}
#[cfg(test)]
mod tests {
use super::*;
use chrono::Duration;
use shared::types::{
BiometricConsent, ConsentStatus, GeneralPiiConsent, SubjectConsent, SubjectRetention,
SubjectVertical,
};
fn fixture(
id: &str,
status: SubjectStatus,
gen_until: DateTime<Utc>,
bio_until: Option<DateTime<Utc>>,
) -> SubjectManifest {
SubjectManifest {
schema: "subject_manifest.v1".into(),
candidate_id: id.into(),
created_at: Utc::now(),
updated_at: Utc::now(),
status,
vertical: SubjectVertical::General,
consent: SubjectConsent {
general_pii: GeneralPiiConsent {
status: ConsentStatus::Given,
version: "v1".into(),
given_at: None,
withdrawn_at: None,
},
biometric: BiometricConsent {
status: if bio_until.is_some() {
BiometricConsentStatus::Given
} else {
BiometricConsentStatus::NeverCollected
},
retention_until: bio_until,
},
},
retention: SubjectRetention {
general_pii_until: gen_until,
policy: "test".into(),
},
datasets: vec![],
safe_views: vec![],
audit_log_path: String::new(),
audit_log_chain_root: String::new(),
biometric_collection: None,
}
}
#[test]
fn active_subject_inside_window_not_overdue() {
let now = Utc::now();
let s = fixture("a", SubjectStatus::Active, now + Duration::days(30), None);
assert!(is_overdue(&s, now).is_none());
}
#[test]
fn active_subject_past_general_window_flags_general() {
let now = Utc::now();
let s = fixture("a", SubjectStatus::Active, now - Duration::days(1), None);
assert_eq!(is_overdue(&s, now), Some(OverdueReason::GeneralPii));
}
#[test]
fn erased_subject_never_re_flags_even_if_far_past() {
let now = Utc::now();
let s = fixture("a", SubjectStatus::Erased, now - Duration::days(1000), None);
assert!(is_overdue(&s, now).is_none(), "erased subjects must not re-fire");
}
#[test]
fn already_retention_expired_is_idempotent() {
let now = Utc::now();
let s = fixture("a", SubjectStatus::RetentionExpired, now - Duration::days(1), None);
assert!(is_overdue(&s, now).is_none(), "already-flagged subjects must not re-fire");
}
#[test]
fn biometric_overdue_alone_triggers_bipa_path() {
let now = Utc::now();
let s = fixture(
"a",
SubjectStatus::Active,
now + Duration::days(30),
Some(now - Duration::days(1)),
);
assert_eq!(is_overdue(&s, now), Some(OverdueReason::Biometric));
}
#[test]
fn both_clocks_overdue_reports_both() {
let now = Utc::now();
let s = fixture(
"a",
SubjectStatus::Active,
now - Duration::days(2),
Some(now - Duration::days(1)),
);
assert_eq!(is_overdue(&s, now), Some(OverdueReason::Both));
}
#[test]
fn pending_consent_subject_can_still_expire() {
let now = Utc::now();
let s = fixture("a", SubjectStatus::PendingConsent, now - Duration::days(1), None);
assert_eq!(is_overdue(&s, now), Some(OverdueReason::GeneralPii));
}
#[test]
fn withdrawn_subject_still_subject_to_retention() {
let now = Utc::now();
let s = fixture("a", SubjectStatus::Withdrawn, now - Duration::days(1), None);
assert_eq!(is_overdue(&s, now), Some(OverdueReason::GeneralPii));
}
}
File diff suppressed because it is too large Load Diff
-3
View File
@@ -2,6 +2,3 @@ pub mod registry;
pub mod service;
pub mod grpc;
pub mod tombstones;
pub mod subject_audit;
pub mod audit_endpoint;
pub mod biometric_endpoint;
+1 -261
View File
@@ -1,6 +1,6 @@
use shared::types::{
AiView, ColumnMeta, DatasetId, DatasetManifest, FreshnessContract, Lineage, ModelProfile,
ObjectRef, RefreshPolicy, SchemaFingerprint, Sensitivity, SubjectManifest, Tombstone,
ObjectRef, RefreshPolicy, SchemaFingerprint, Sensitivity, Tombstone,
};
use crate::tombstones::TombstoneStore;
@@ -66,20 +66,16 @@ pub struct MetadataUpdate {
const MANIFEST_PREFIX: &str = "_catalog/manifests";
const VIEW_PREFIX: &str = "_catalog/views";
const SUBJECT_PREFIX: &str = "_catalog/subjects";
const PROFILE_PREFIX: &str = "_catalog/profiles";
/// In-memory dataset registry backed by manifest persistence in object storage.
/// Also tracks AiViews (Phase D) — safe projections over base datasets.
/// And tombstones (Phase E) — soft-delete markers applied at query time.
/// And subject manifests (compliance/access metadata layer) — see
/// docs/specs/SUBJECT_MANIFESTS_ON_CATALOGD.md.
#[derive(Clone)]
pub struct Registry {
datasets: Arc<RwLock<HashMap<DatasetId, DatasetManifest>>>,
views: Arc<RwLock<HashMap<String, AiView>>>,
profiles: Arc<RwLock<HashMap<String, ModelProfile>>>,
subjects: Arc<RwLock<HashMap<String, SubjectManifest>>>,
tombstones: TombstoneStore,
store: Arc<dyn ObjectStore>,
}
@@ -90,7 +86,6 @@ impl Registry {
datasets: Arc::new(RwLock::new(HashMap::new())),
views: Arc::new(RwLock::new(HashMap::new())),
profiles: Arc::new(RwLock::new(HashMap::new())),
subjects: Arc::new(RwLock::new(HashMap::new())),
tombstones: TombstoneStore::new(store.clone()),
store,
}
@@ -184,47 +179,6 @@ impl Registry {
tracing::info!("catalog: {} model profiles loaded", profiles.len());
}
// Subject manifests (compliance/access metadata layer).
let subject_keys = ops::list(&self.store, Some(SUBJECT_PREFIX)).await.unwrap_or_default();
let mut subjects = self.subjects.write().await;
subjects.clear();
for key in &subject_keys {
if !key.ends_with(".json") { continue; }
let data = match ops::get(&self.store, key).await {
Ok(d) => d,
Err(e) => {
tracing::warn!("subject '{key}': read failed: {e}");
continue;
}
};
match serde_json::from_slice::<SubjectManifest>(&data) {
// Match put_subject: in-memory key is the SANITIZED form
// so get_subject lookups match the storage key shape.
Ok(subj) => {
let map_key = sanitize_view_name(&subj.candidate_id);
// Rebuild collision detection — symmetric with the
// put_subject collision guard. If pre-existing storage
// somehow contains two manifests whose raw ids
// sanitize to the same key, log loudly so operators
// know one was dropped instead of silently losing it.
// (2026-05-03 opus scrum WARN registry.rs:201.)
if let Some(existing) = subjects.get(&map_key) {
if existing.candidate_id != subj.candidate_id {
tracing::warn!(
"subject rebuild collision on sanitized key '{map_key}': raw '{}' was loaded earlier; raw '{}' is being silently overwritten in memory. Run dedupe + delete the duplicate manifest file at storage.",
existing.candidate_id, subj.candidate_id,
);
}
}
subjects.insert(map_key, subj);
}
Err(e) => tracing::warn!("subject '{key}': parse failed: {e}"),
}
}
if !subjects.is_empty() {
tracing::info!("catalog: {} subject manifests loaded", subjects.len());
}
Ok(count)
}
@@ -732,94 +686,6 @@ impl Registry {
Ok(())
}
// --- Subject manifests (compliance/access metadata layer) ---
// Specification: docs/specs/SUBJECT_MANIFESTS_ON_CATALOGD.md
// Mirrors the put_view / get_view / list_views / delete_view shape.
// The audit log per subject is owned separately by SubjectAuditWriter
// (Step 2) — this layer just persists the manifest itself.
/// Create or replace a subject manifest. Validates that referenced
/// datasets exist in the catalog (fail-fast so dangling references
/// don't accumulate). Persists to `_catalog/subjects/<id>.json`.
///
/// **Storage-key collision guard** (2026-05-03 opus scrum WARN
/// at registry.rs:735): the storage key is `sanitize_view_name(id)`
/// — `/`, `:`, etc. become `_`. A naive in-memory keying by raw
/// candidate_id would let two distinct ids (`CAND/1` + `CAND_1`)
/// collide on disk while appearing distinct in memory; the second
/// put silently overwrites the first, and `rebuild` only loads one.
/// Both the in-memory map AND the storage key now use the sanitized
/// form. Caller's raw candidate_id is preserved on the manifest for
/// audit-trail integrity (the manifest body has the original).
/// We surface a clear error if two raw ids would collide on the
/// sanitized key.
pub async fn put_subject(&self, mut subj: SubjectManifest) -> Result<SubjectManifest, String> {
if subj.candidate_id.is_empty() {
return Err("subject candidate_id is empty".into());
}
for ds in &subj.datasets {
if self.get_by_name(&ds.name).await.is_none() {
return Err(format!(
"subject '{}' references dataset '{}' which is not in the catalog",
subj.candidate_id, ds.name,
));
}
}
let now = chrono::Utc::now();
if subj.created_at.timestamp() == 0 {
subj.created_at = now;
}
subj.updated_at = now;
let map_key = sanitize_view_name(&subj.candidate_id);
let key = format!("{SUBJECT_PREFIX}/{}.json", map_key);
// Collision guard: if the sanitized key already exists for a
// DIFFERENT raw candidate_id, refuse the put. Better to fail
// loudly than silently overwrite an existing subject.
{
let subjects = self.subjects.read().await;
if let Some(existing) = subjects.get(&map_key) {
if existing.candidate_id != subj.candidate_id {
return Err(format!(
"subject id '{}' collides with existing subject '{}' on sanitized storage key '{}'",
subj.candidate_id, existing.candidate_id, map_key,
));
}
}
}
let json = serde_json::to_vec_pretty(&subj).map_err(|e| e.to_string())?;
ops::put(&self.store, &key, json.into()).await?;
let mut subjects = self.subjects.write().await;
subjects.insert(map_key, subj.clone());
tracing::debug!("subject manifest persisted: {}", subj.candidate_id);
Ok(subj)
}
pub async fn get_subject(&self, candidate_id: &str) -> Option<SubjectManifest> {
self.subjects.read().await.get(&sanitize_view_name(candidate_id)).cloned()
}
pub async fn list_subjects(&self) -> Vec<SubjectManifest> {
self.subjects.read().await.values().cloned().collect()
}
pub async fn delete_subject(&self, candidate_id: &str) -> Result<(), String> {
let map_key = sanitize_view_name(candidate_id);
let key = format!("{SUBJECT_PREFIX}/{}.json", map_key);
ops::delete(&self.store, &key).await?;
self.subjects.write().await.remove(&map_key);
Ok(())
}
/// Subject count — convenience for the daily retention sweep + audit
/// dashboards that don't need the full list.
pub async fn subjects_count(&self) -> usize {
self.subjects.read().await.len()
}
/// Remove a dataset from the catalog by name. Deletes the manifest
/// from both the in-memory registry and object storage.
///
@@ -1161,130 +1027,4 @@ mod tests {
assert!(reg.get(&loser_a).await.is_none());
assert!(reg.get(&loser_b).await.is_none());
}
// --- Subject manifests (Step 1 of subject_manifests_on_catalogd) ---
fn fixture_subject(id: &str) -> shared::types::SubjectManifest {
use shared::types::{
BiometricConsent, BiometricConsentStatus, ConsentStatus,
GeneralPiiConsent, SubjectConsent, SubjectManifest, SubjectRetention,
SubjectStatus, SubjectVertical,
};
SubjectManifest {
schema: "subject_manifest.v1".into(),
candidate_id: id.to_string(),
created_at: chrono::Utc::now(),
updated_at: chrono::Utc::now(),
status: SubjectStatus::Active,
vertical: SubjectVertical::Unknown,
consent: SubjectConsent {
general_pii: GeneralPiiConsent {
status: ConsentStatus::PendingBackfillReview,
version: String::new(),
given_at: None,
withdrawn_at: None,
},
biometric: BiometricConsent {
status: BiometricConsentStatus::NeverCollected,
retention_until: None,
},
},
retention: SubjectRetention {
general_pii_until: chrono::Utc::now() + chrono::Duration::days(365 * 4),
policy: "4_year_default".into(),
},
datasets: vec![],
safe_views: vec![],
audit_log_path: String::new(),
audit_log_chain_root: String::new(),
biometric_collection: None,
}
}
#[tokio::test]
async fn put_subject_with_no_dataset_refs_succeeds() {
let reg = fixture();
let s = fixture_subject("CAND-000001");
let stored = reg.put_subject(s).await.unwrap();
assert_eq!(stored.candidate_id, "CAND-000001");
assert_eq!(reg.subjects_count().await, 1);
}
#[tokio::test]
async fn put_subject_rejects_dangling_dataset_ref() {
use shared::types::SubjectDatasetRef;
let reg = fixture();
let mut s = fixture_subject("CAND-000002");
s.datasets.push(SubjectDatasetRef {
name: "no_such_dataset".into(),
key_column: "candidate_id".into(),
key_value: "CAND-000002".into(),
});
let err = reg.put_subject(s).await.unwrap_err();
assert!(err.contains("not in the catalog"), "got: {err}");
}
#[tokio::test]
async fn put_subject_with_valid_dataset_ref_succeeds() {
use shared::types::SubjectDatasetRef;
let reg = fixture();
// Register a dataset first so the subject's reference resolves.
reg.register("workers".into(), fp("w1"), vec![obj("w.parquet")]).await.unwrap();
let mut s = fixture_subject("CAND-000003");
s.datasets.push(SubjectDatasetRef {
name: "workers".into(),
key_column: "candidate_id".into(),
key_value: "CAND-000003".into(),
});
let stored = reg.put_subject(s).await.unwrap();
assert_eq!(stored.datasets.len(), 1);
assert_eq!(stored.datasets[0].name, "workers");
}
#[tokio::test]
async fn subject_round_trips_through_object_store() {
let store = Arc::new(object_store::memory::InMemory::new());
let reg = Registry::new(store.clone());
reg.put_subject(fixture_subject("CAND-RT-001")).await.unwrap();
// Open a fresh registry over the same store and load → confirms
// persistence + load_all path actually round-trips the manifest.
let reg2 = Registry::new(store);
reg2.rebuild().await.unwrap();
let loaded = reg2.get_subject("CAND-RT-001").await;
assert!(loaded.is_some(), "subject not loaded from store");
assert_eq!(loaded.unwrap().status, shared::types::SubjectStatus::Active);
}
#[tokio::test]
async fn put_subject_rejects_sanitize_collision() {
// 2026-05-03 opus scrum WARN at registry.rs:735 regression:
// CAND/1 and CAND_1 sanitize to the same storage key. Without
// the collision guard, the second put silently overwrites the
// first on disk; with it, the second put fails loudly.
let reg = fixture();
let s1 = fixture_subject("CAND/1");
reg.put_subject(s1).await.unwrap();
let s2 = fixture_subject("CAND_1"); // sanitizes to same key
let err = reg.put_subject(s2).await.unwrap_err();
assert!(err.contains("collides"), "got: {err}");
assert_eq!(reg.subjects_count().await, 1, "first subject must survive");
}
#[tokio::test]
async fn delete_subject_removes_in_memory_and_persistence() {
let store = Arc::new(object_store::memory::InMemory::new());
let reg = Registry::new(store.clone());
reg.put_subject(fixture_subject("CAND-DEL-001")).await.unwrap();
assert_eq!(reg.subjects_count().await, 1);
reg.delete_subject("CAND-DEL-001").await.unwrap();
assert_eq!(reg.subjects_count().await, 0);
// Fresh registry over same store — confirm it's also gone from persistence.
let reg2 = Registry::new(store);
reg2.rebuild().await.unwrap();
assert_eq!(reg2.subjects_count().await, 0);
}
}
-26
View File
@@ -31,10 +31,6 @@ pub fn router(registry: Registry) -> Router {
// Phase 17: model profiles
.route("/profiles", post(create_profile).get(list_profiles))
.route("/profiles/{id}", get(get_profile).delete(delete_profile))
// Phase 41: profile-type routes
.route("/profiles/retrieval", get(list_retrieval_profiles))
.route("/profiles/memory", get(list_memory_profiles))
.route("/profiles/observer", get(list_observer_profiles))
.with_state(registry)
}
@@ -402,9 +398,6 @@ struct CreateProfileRequest {
/// indexes to. Defaults to Parquet+HNSW.
#[serde(default)]
vector_backend: shared::types::VectorBackend,
/// Phase 41: Profile type for routing + activation behavior.
#[serde(default)]
profile_type: shared::types::ProfileType,
}
fn default_embed_model_req() -> String { "nomic-embed-text".to_string() }
@@ -424,7 +417,6 @@ async fn create_profile(
created_by: req.created_by,
bucket: req.bucket,
vector_backend: req.vector_backend,
profile_type: req.profile_type,
};
match registry.put_profile(profile).await {
Ok(p) => Ok((StatusCode::CREATED, Json(p))),
@@ -436,24 +428,6 @@ async fn list_profiles(State(registry): State<Registry>) -> impl IntoResponse {
Json(registry.list_profiles().await)
}
async fn list_retrieval_profiles(State(registry): State<Registry>) -> impl IntoResponse {
let all = registry.list_profiles().await;
let retrieval: Vec<_> = all.into_iter().filter(|p| p.profile_type == shared::types::ProfileType::Retrieval).collect();
Json(retrieval)
}
async fn list_memory_profiles(State(registry): State<Registry>) -> impl IntoResponse {
let all = registry.list_profiles().await;
let memory: Vec<_> = all.into_iter().filter(|p| p.profile_type == shared::types::ProfileType::Memory).collect();
Json(memory)
}
async fn list_observer_profiles(State(registry): State<Registry>) -> impl IntoResponse {
let all = registry.list_profiles().await;
let observer: Vec<_> = all.into_iter().filter(|p| p.profile_type == shared::types::ProfileType::Observer).collect();
Json(observer)
}
async fn get_profile(
State(registry): State<Registry>,
Path(id): Path<String>,
-587
View File
@@ -1,587 +0,0 @@
//! Subject audit log writer with HMAC chain.
//!
//! Specification: docs/specs/SUBJECT_MANIFESTS_ON_CATALOGD.md §3.
//!
//! Per-subject append-only JSONL at `_catalog/subjects/<id>.audit.jsonl`.
//! Each row's `row_hmac` is HMAC-SHA256(key, prev_chain_hash || canonical_json_of_row_minus_hmac).
//! The chain root is mirrored to the SubjectManifest.audit_log_chain_root
//! field after each append, so verifiers can find the latest valid root
//! from the manifest alone.
//!
//! Failures are non-blocking — audit-write errors are logged but do NOT
//! propagate to the caller (per spec §3.2: "better to leak a row than
//! block legitimate operations"). Operators MUST monitor the error count.
//!
//! Key loading: from a sealed file at the path the writer is constructed
//! with. Tests use `with_inline_key` to inject a deterministic key.
use bytes::Bytes;
use hmac::{Hmac, Mac};
use object_store::ObjectStore;
use sha2::Sha256;
use shared::types::SubjectAuditRow;
use std::collections::HashMap;
use std::sync::Arc;
use storaged::ops;
use tokio::sync::Mutex;
const SUBJECT_PREFIX: &str = "_catalog/subjects";
pub const GENESIS_HASH: &str = "GENESIS";
type HmacSha256 = Hmac<Sha256>;
/// Render a JSON value canonically: object keys sorted alphabetically,
/// no insignificant whitespace, no trailing newline. Recursive — nested
/// objects also sort their keys. Arrays preserve order (semantically
/// significant). Numbers, strings, booleans, nulls pass through.
///
/// This is intentionally narrower than RFC 8785 (no number normalization,
/// no UTF-8 NFC re-encoding). For our use — hashing structurally simple
/// audit-row JSON — alphabetical key order is the only canonicalization
/// that matters: it makes the byte sequence stable across struct field
/// reordering and additive schema evolution.
fn canonical_json(v: &serde_json::Value) -> Result<Vec<u8>, String> {
use std::collections::BTreeMap;
fn rewrite(v: &serde_json::Value) -> serde_json::Value {
match v {
serde_json::Value::Object(map) => {
let sorted: BTreeMap<String, serde_json::Value> = map
.iter()
.map(|(k, v)| (k.clone(), rewrite(v)))
.collect();
serde_json::Value::Object(sorted.into_iter().collect())
}
serde_json::Value::Array(arr) => {
serde_json::Value::Array(arr.iter().map(rewrite).collect())
}
other => other.clone(),
}
}
let canonical = rewrite(v);
serde_json::to_vec(&canonical).map_err(|e| e.to_string())
}
/// Per-subject audit log writer. Holds the signing key, a small
/// in-memory cache of latest chain hash per subject, and per-subject
/// mutexes that serialize concurrent appends to the same subject's log.
///
/// **No Debug impl deliberately** — auto-deriving Debug on this struct
/// would risk leaking the signing key into log lines. Tests that need
/// `Result::unwrap_err` on a function returning `Result<Self, _>` must
/// match on the result instead of using `.unwrap_err()`.
///
/// Concurrency: appends to DIFFERENT subjects run in parallel; appends
/// to the SAME subject serialize via a per-candidate Mutex. Without
/// per-subject locking the read-modify-write append_line race
/// (concurrent reads of the same `prev_hash` + concurrent writes
/// overwriting each other) silently corrupts the chain. Caught by
/// 2026-05-03 opus scrum BLOCK on subject_audit.rs:172.
#[derive(Clone)]
pub struct SubjectAuditWriter {
store: Arc<dyn ObjectStore>,
/// HMAC signing key. Loaded once at construction. Never logged.
/// `Vec<u8>` not `String` — keys are bytes, not text.
key: Arc<Vec<u8>>,
/// In-memory cache of the latest chain hash per candidate_id.
/// Loaded lazily from the audit JSONL on first append per subject.
latest_hash: Arc<Mutex<HashMap<String, String>>>,
/// Per-subject mutexes. Append acquires the subject's lock before
/// the read-modify-write to serialize concurrent appends to the
/// same subject. Different subjects don't contend.
subject_locks: Arc<Mutex<HashMap<String, Arc<Mutex<()>>>>>,
}
impl SubjectAuditWriter {
/// Construct a writer that loads its signing key from a file at
/// `key_path`. The file MUST be mode 0400 owner-only on production
/// hosts (operator's responsibility — not enforced here because the
/// permission check would be a footgun in tests/dev).
pub async fn from_key_file(
store: Arc<dyn ObjectStore>,
key_path: &std::path::Path,
) -> Result<Self, String> {
let key = tokio::fs::read(key_path)
.await
.map_err(|e| format!("read signing key from {}: {e}", key_path.display()))?;
if key.len() < 32 {
return Err(format!(
"signing key is {} bytes; recommend ≥32 bytes for HMAC-SHA256",
key.len()
));
}
Ok(Self {
store,
key: Arc::new(key),
latest_hash: Arc::new(Mutex::new(HashMap::new())),
subject_locks: Arc::new(Mutex::new(HashMap::new())),
})
}
/// Construct a writer with an inline key. Intended for tests + bring-up.
/// Production should use `from_key_file`.
pub fn with_inline_key(store: Arc<dyn ObjectStore>, key: Vec<u8>) -> Self {
Self {
store,
key: Arc::new(key),
latest_hash: Arc::new(Mutex::new(HashMap::new())),
subject_locks: Arc::new(Mutex::new(HashMap::new())),
}
}
fn audit_key(candidate_id: &str) -> String {
let safe: String = candidate_id
.chars()
.map(|c| {
if c.is_ascii_alphanumeric() || c == '_' || c == '-' || c == '.' {
c
} else {
'_'
}
})
.collect();
format!("{SUBJECT_PREFIX}/{}.audit.jsonl", safe)
}
/// Compute HMAC-SHA256(key, prev_hash_bytes || canonical_row_bytes).
/// Returns the HMAC as lowercase hex. Uses byte-level hex formatting
/// in a single pass (avoids per-byte format! allocations).
fn compute_hmac(&self, prev_hash: &str, canonical_row: &[u8]) -> String {
let mut mac = <HmacSha256 as Mac>::new_from_slice(&self.key)
.expect("HMAC accepts any key length");
mac.update(prev_hash.as_bytes());
mac.update(canonical_row);
let result = mac.finalize().into_bytes();
const HEX: &[u8; 16] = b"0123456789abcdef";
let mut s = String::with_capacity(64);
for byte in result {
s.push(HEX[(byte >> 4) as usize] as char);
s.push(HEX[(byte & 0x0f) as usize] as char);
}
s
}
/// Render an audit row as canonical JSON: keys sorted alphabetically,
/// no insignificant whitespace, row_hmac field excluded. This is the
/// byte sequence the HMAC is computed over.
///
/// **Why a manual canonicalizer instead of `serde_json::to_vec`:**
/// serde_json serializes struct fields in DECLARATION order. If the
/// SubjectAuditRow struct ever gains/loses/reorders fields (schema
/// evolution), the bytes change even though the LOGICAL content is
/// the same. A verifier compiled against the new struct shape
/// re-serializes a stored row and gets DIFFERENT bytes than the
/// original write — chain breaks silently. Caught by 2026-05-03
/// opus scrum BLOCK on subject_audit.rs:108.
///
/// Canonical-JSON (RFC 8785-ish, simplified for our scalar types)
/// fixes this by using alphabetical key order + minimal whitespace,
/// stable across struct evolution.
fn canonical_row_bytes(row: &SubjectAuditRow) -> Result<Vec<u8>, String> {
// Project to a generic Value, drop row_hmac, then re-serialize
// through a BTreeMap so keys come out alphabetical.
let mut v: serde_json::Value = serde_json::to_value(row)
.map_err(|e| format!("audit row to value: {e}"))?;
if let Some(obj) = v.as_object_mut() {
obj.remove("row_hmac");
}
canonical_json(&v).map_err(|e| format!("canonicalize: {e}"))
}
/// Get-or-create per-subject lock. Held across the read-modify-write
/// in append() so concurrent appends to the same subject serialize.
async fn lock_for(&self, candidate_id: &str) -> Arc<Mutex<()>> {
let mut locks = self.subject_locks.lock().await;
locks
.entry(candidate_id.to_string())
.or_insert_with(|| Arc::new(Mutex::new(())))
.clone()
}
/// Append one audit row for a subject. Computes the HMAC chain link,
/// writes to the per-subject JSONL, returns the new chain root (which
/// the caller MAY mirror to SubjectManifest.audit_log_chain_root).
///
/// **Concurrency**: appends to the SAME subject serialize via a
/// per-subject Mutex. Appends to DIFFERENT subjects run in parallel.
/// Without the per-subject lock, the read-modify-write in
/// append_line races and silently corrupts the chain. (2026-05-03
/// opus scrum BLOCK on subject_audit.rs:172.)
///
/// On error: logs and returns Err. Caller decides whether to propagate
/// (per spec §3.2 the gateway tool registry SHOULD log + drop).
pub async fn append(&self, mut row: SubjectAuditRow) -> Result<String, String> {
let cid = row.candidate_id.clone();
if cid.is_empty() {
return Err("audit row candidate_id is empty".into());
}
// Acquire the per-subject lock for the duration of this append.
let subject_lock = self.lock_for(&cid).await;
let _guard = subject_lock.lock().await;
// 1. Find prev_chain_hash. Cache hot path; cold path scans
// the existing JSONL tail-style to find the last row.
let prev = {
let cache = self.latest_hash.lock().await;
cache.get(&cid).cloned()
};
let prev_hash = match prev {
Some(h) => h,
None => self.scan_latest_hash(&cid).await,
};
row.prev_chain_hash = prev_hash.clone();
row.row_hmac = String::new(); // Always cleared before HMAC computation.
// 2. Canonical-JSON the row (sorted keys, no whitespace, no
// row_hmac), then HMAC. Stable across struct evolution.
let canon = Self::canonical_row_bytes(&row)?;
let new_hmac = self.compute_hmac(&prev_hash, &canon);
row.row_hmac = new_hmac.clone();
// 3. Append the row to the JSONL. The per-subject lock above
// serializes the read-modify-write inside append_line.
let line = serde_json::to_vec(&row)
.map_err(|e| format!("serialize audit row: {e}"))?;
self.append_line(&cid, &line).await?;
// 4. Update cache.
self.latest_hash.lock().await.insert(cid, new_hmac.clone());
Ok(new_hmac)
}
/// Scan the audit JSONL for a subject and return the last row's
/// row_hmac. GENESIS if no log exists or it's empty.
/// Object-store-aware: works across LocalFileSystem + InMemory + S3.
async fn scan_latest_hash(&self, candidate_id: &str) -> String {
let key = Self::audit_key(candidate_id);
let bytes = match ops::get(&self.store, &key).await {
Ok(b) => b,
Err(_) => return GENESIS_HASH.to_string(), // file doesn't exist
};
// Find the last newline-delimited line that parses as a row.
let text = match std::str::from_utf8(&bytes) {
Ok(t) => t,
Err(_) => return GENESIS_HASH.to_string(),
};
for line in text.lines().rev() {
if line.trim().is_empty() {
continue;
}
if let Ok(parsed) = serde_json::from_str::<SubjectAuditRow>(line) {
return parsed.row_hmac;
}
}
GENESIS_HASH.to_string()
}
/// Append a single newline-terminated line to the per-subject log.
/// Reads the existing content (may be empty), appends, writes back.
/// Object stores don't have native append; this is the standard
/// "read-modify-write the tail file" pattern.
async fn append_line(&self, candidate_id: &str, line: &[u8]) -> Result<(), String> {
let key = Self::audit_key(candidate_id);
let existing = ops::get(&self.store, &key).await.unwrap_or_default();
let mut buf = Vec::with_capacity(existing.len() + line.len() + 1);
buf.extend_from_slice(&existing);
if !buf.is_empty() && !buf.ends_with(b"\n") {
buf.push(b'\n');
}
buf.extend_from_slice(line);
buf.push(b'\n');
ops::put(&self.store, &key, Bytes::from(buf)).await
}
/// Read all audit rows for a subject, optionally filtered by time
/// window (inclusive bounds). Returns rows in append order. Used by
/// the /audit/subject/{id} endpoint to assemble the legal-tier
/// response. Window bounds are optional — `from=None`+`to=None`
/// returns the full log.
pub async fn read_rows_in_range(
&self,
candidate_id: &str,
from: Option<chrono::DateTime<chrono::Utc>>,
to: Option<chrono::DateTime<chrono::Utc>>,
) -> Result<Vec<SubjectAuditRow>, String> {
let key = Self::audit_key(candidate_id);
let bytes = match ops::get(&self.store, &key).await {
Ok(b) => b,
Err(_) => return Ok(Vec::new()), // no audit log = empty result
};
let text = std::str::from_utf8(&bytes)
.map_err(|e| format!("audit log not utf-8: {e}"))?;
let mut out = Vec::new();
for line in text.lines() {
if line.trim().is_empty() {
continue;
}
let row: SubjectAuditRow = match serde_json::from_str(line) {
Ok(r) => r,
Err(_) => continue, // skip unparseable lines (defensive)
};
if let Some(from) = from {
if row.ts < from { continue; }
}
if let Some(to) = to {
if row.ts > to { continue; }
}
out.push(row);
}
Ok(out)
}
/// Return the latest row_hmac in this subject's audit log, or None
/// if the log doesn't exist / has no rows. Cache-aware: hits the
/// in-memory cache when the writer has appended at least once for
/// this subject in the current process, otherwise scans the log
/// tail (single object_store read).
///
/// Used by /audit/subject/{id} to echo the actual chain tip in the
/// response. Taking the tip from a windowed slice of rows would
/// lie when the window doesn't cover the latest row.
pub async fn chain_tip(&self, candidate_id: &str) -> Option<String> {
// Cache hit?
if let Some(h) = self.latest_hash.lock().await.get(candidate_id).cloned() {
return Some(h);
}
// Cold path — scan the log tail. Returns GENESIS for empty/missing
// logs; we coerce that to None so callers can distinguish "no audit
// activity yet" from "real chain tip exists".
let tip = self.scan_latest_hash(candidate_id).await;
if tip == GENESIS_HASH { None } else { Some(tip) }
}
/// Verify the full HMAC chain for a subject. Returns Ok(rows_verified)
/// or Err with the first chain break encountered.
///
/// Special case: if no audit log exists (the subject has had no PII
/// access yet), returns Ok(0) — an empty log is trivially valid.
/// Callers that want to detect "log was deleted" should compare
/// against SubjectManifest.audit_log_chain_root: if the manifest's
/// chain root is non-empty/non-GENESIS but verify_chain returns 0,
/// the file was tampered.
pub async fn verify_chain(&self, candidate_id: &str) -> Result<usize, String> {
let key = Self::audit_key(candidate_id);
let bytes = match ops::get(&self.store, &key).await {
Ok(b) => b,
Err(_) => return Ok(0), // no log = 0 rows = trivially valid
};
let text = std::str::from_utf8(&bytes)
.map_err(|e| format!("audit log not utf-8: {e}"))?;
let mut prev = GENESIS_HASH.to_string();
let mut count = 0usize;
for (lineno, line) in text.lines().enumerate() {
if line.trim().is_empty() {
continue;
}
let mut row: SubjectAuditRow = serde_json::from_str(line)
.map_err(|e| format!("line {} parse failed: {e}", lineno + 1))?;
if row.prev_chain_hash != prev {
return Err(format!(
"chain break at line {}: prev_chain_hash={} expected={}",
lineno + 1, row.prev_chain_hash, prev,
));
}
let claimed = std::mem::take(&mut row.row_hmac);
let canon = Self::canonical_row_bytes(&row)
.map_err(|e| format!("canonicalize line {}: {e}", lineno + 1))?;
let recomputed = self.compute_hmac(&prev, &canon);
if recomputed != claimed {
return Err(format!(
"hmac mismatch at line {}: stored={} recomputed={}",
lineno + 1, claimed, recomputed,
));
}
prev = claimed;
count += 1;
}
Ok(count)
}
}
#[cfg(test)]
mod tests {
use super::*;
use object_store::memory::InMemory;
use shared::types::AuditAccessor;
fn fixture_writer() -> SubjectAuditWriter {
SubjectAuditWriter::with_inline_key(
Arc::new(InMemory::new()),
// Deterministic 32-byte key for test reproducibility.
(0u8..32).collect(),
)
}
fn fixture_row(candidate_id: &str, fields: &[&str]) -> SubjectAuditRow {
SubjectAuditRow {
schema: "subject_audit.v1".into(),
ts: chrono::Utc::now(),
candidate_id: candidate_id.into(),
accessor: AuditAccessor {
kind: "gateway_lookup".into(),
daemon: "gateway".into(),
purpose: "fill_validation".into(),
trace_id: String::new(),
},
fields_accessed: fields.iter().map(|s| s.to_string()).collect(),
result: "success".into(),
prev_chain_hash: String::new(), // filled in by writer
row_hmac: String::new(), // filled in by writer
}
}
#[tokio::test]
async fn first_append_uses_genesis_prev_hash() {
let w = fixture_writer();
let new_root = w.append(fixture_row("CAND-1", &["name"])).await.unwrap();
assert!(!new_root.is_empty());
assert_eq!(new_root.len(), 64); // SHA-256 hex
// After first append, the only row should reference GENESIS as prev.
let bytes = ops::get(&w.store, &SubjectAuditWriter::audit_key("CAND-1"))
.await.unwrap();
let text = std::str::from_utf8(&bytes).unwrap();
let row: SubjectAuditRow = serde_json::from_str(text.trim()).unwrap();
assert_eq!(row.prev_chain_hash, "GENESIS");
assert_eq!(row.row_hmac, new_root);
}
#[tokio::test]
async fn chain_links_each_append() {
let w = fixture_writer();
let h1 = w.append(fixture_row("CAND-2", &["name"])).await.unwrap();
let h2 = w.append(fixture_row("CAND-2", &["phone"])).await.unwrap();
let h3 = w.append(fixture_row("CAND-2", &["email"])).await.unwrap();
assert_ne!(h1, h2);
assert_ne!(h2, h3);
let count = w.verify_chain("CAND-2").await.unwrap();
assert_eq!(count, 3);
}
#[tokio::test]
async fn separate_subjects_have_independent_chains() {
let w = fixture_writer();
let _ = w.append(fixture_row("CAND-A", &["name"])).await.unwrap();
let _ = w.append(fixture_row("CAND-B", &["name"])).await.unwrap();
let _ = w.append(fixture_row("CAND-A", &["phone"])).await.unwrap();
assert_eq!(w.verify_chain("CAND-A").await.unwrap(), 2);
assert_eq!(w.verify_chain("CAND-B").await.unwrap(), 1);
}
#[tokio::test]
async fn tamper_detected_on_verify() {
let w = fixture_writer();
let _ = w.append(fixture_row("CAND-T", &["name"])).await.unwrap();
let _ = w.append(fixture_row("CAND-T", &["phone"])).await.unwrap();
// Mutate the file to flip a `result` field on the first row.
let key = SubjectAuditWriter::audit_key("CAND-T");
let bytes = ops::get(&w.store, &key).await.unwrap();
let mut text = std::str::from_utf8(&bytes).unwrap().to_string();
text = text.replacen("\"success\"", "\"denied\"", 1);
ops::put(&w.store, &key, text.into_bytes().into()).await.unwrap();
let err = w.verify_chain("CAND-T").await.unwrap_err();
assert!(err.contains("hmac mismatch"), "expected hmac mismatch, got: {err}");
}
#[tokio::test]
async fn cold_writer_picks_up_existing_chain() {
let store: Arc<dyn ObjectStore> = Arc::new(InMemory::new());
let key: Vec<u8> = (0u8..32).collect();
let w1 = SubjectAuditWriter::with_inline_key(store.clone(), key.clone());
let h1 = w1.append(fixture_row("CAND-COLD", &["name"])).await.unwrap();
// Drop w1's cache, simulate process restart.
drop(w1);
let w2 = SubjectAuditWriter::with_inline_key(store.clone(), key);
let h2 = w2.append(fixture_row("CAND-COLD", &["phone"])).await.unwrap();
assert_ne!(h1, h2);
assert_eq!(w2.verify_chain("CAND-COLD").await.unwrap(), 2);
}
#[tokio::test]
async fn empty_candidate_id_rejected() {
let w = fixture_writer();
let row = fixture_row("", &["name"]);
let err = w.append(row).await.unwrap_err();
assert!(err.contains("empty"), "got: {err}");
}
#[tokio::test]
async fn concurrent_appends_to_same_subject_serialize() {
// 2026-05-03 opus scrum BLOCK regression: without per-subject
// locking, concurrent appends raced and silently lost rows.
// This test spawns 50 parallel appends and asserts ALL 50
// land with an intact chain.
let w = Arc::new(fixture_writer());
let mut handles = Vec::new();
for i in 0..50 {
let w = w.clone();
handles.push(tokio::spawn(async move {
w.append(fixture_row("CAND-RACE", &[&format!("f{i}")])).await
}));
}
for h in handles {
h.await.unwrap().unwrap();
}
let count = w.verify_chain("CAND-RACE").await.unwrap();
assert_eq!(count, 50, "expected 50 rows; chain was corrupted");
}
#[tokio::test]
async fn concurrent_appends_to_different_subjects_run_parallel() {
let w = Arc::new(fixture_writer());
let mut handles = Vec::new();
for i in 0..20 {
let w = w.clone();
handles.push(tokio::spawn(async move {
w.append(fixture_row(&format!("CAND-PARA-{i}"), &["f"])).await
}));
}
for h in handles {
h.await.unwrap().unwrap();
}
// Each of the 20 subjects has exactly 1 row.
for i in 0..20 {
assert_eq!(w.verify_chain(&format!("CAND-PARA-{i}")).await.unwrap(), 1);
}
}
#[test]
fn canonical_json_sorts_keys_alphabetically() {
let v = serde_json::json!({"z": 1, "a": 2, "m": {"y": 1, "b": 2}});
let bytes = canonical_json(&v).unwrap();
let s = std::str::from_utf8(&bytes).unwrap();
// Keys should appear in alphabetical order at every nesting level.
let a_pos = s.find("\"a\"").unwrap();
let m_pos = s.find("\"m\"").unwrap();
let z_pos = s.find("\"z\"").unwrap();
assert!(a_pos < m_pos);
assert!(m_pos < z_pos);
// Nested object's keys also sorted.
let b_pos = s.find("\"b\"").unwrap();
let y_pos = s.find("\"y\"").unwrap();
assert!(b_pos < y_pos);
}
#[test]
fn canonical_json_arrays_preserve_order() {
let v = serde_json::json!({"k": ["c", "a", "b"]});
let bytes = canonical_json(&v).unwrap();
let s = std::str::from_utf8(&bytes).unwrap();
assert!(s.contains("\"c\",\"a\",\"b\""), "got: {s}");
}
#[tokio::test]
async fn key_too_short_rejected_via_file() {
// Write a 16-byte key file (under the 32-byte minimum).
let tmp = std::env::temp_dir().join(format!("sa_key_short_{}.bin", std::process::id()));
tokio::fs::write(&tmp, vec![0u8; 16]).await.unwrap();
let store: Arc<dyn ObjectStore> = Arc::new(InMemory::new());
// `unwrap_err` would require Debug on SubjectAuditWriter, which
// we deliberately don't impl (key-leak risk). Match instead.
match SubjectAuditWriter::from_key_file(store, &tmp).await {
Err(e) => assert!(e.contains("≥32 bytes"), "got: {e}"),
Ok(_) => panic!("expected too-short-key rejection"),
}
let _ = tokio::fs::remove_file(&tmp).await;
}
}
-3
View File
@@ -12,8 +12,6 @@ aibridge = { path = "../aibridge" }
ingestd = { path = "../ingestd" }
vectord = { path = "../vectord" }
journald = { path = "../journald" }
truth = { path = "../truth" }
validator = { path = "../validator" }
tokio = { workspace = true }
axum = { workspace = true }
serde = { workspace = true }
@@ -31,4 +29,3 @@ tracing-opentelemetry = { workspace = true }
arrow = { workspace = true }
chrono = { workspace = true }
reqwest = { version = "0.12", default-features = false, features = ["json", "rustls-tls"] }
toml = { workspace = true }
+1 -6
View File
@@ -93,7 +93,7 @@ impl AccessControl {
self.roles.write().await.insert(role.agent_name.clone(), role);
}
/// Get an agent's role. Called by `GET /access/roles/{agent}`.
/// Get an agent's role.
pub async fn get_role(&self, agent: &str) -> Option<AgentRole> {
self.roles.read().await.get(agent).cloned()
}
@@ -113,7 +113,6 @@ impl AccessControl {
}
/// Determine which fields should be masked for an agent.
#[allow(dead_code)]
pub async fn masked_fields(
&self,
agent: &str,
@@ -139,7 +138,6 @@ impl AccessControl {
}
/// Log a query for audit.
#[allow(dead_code)]
pub async fn log_query(&self, audit: QueryAudit) {
self.audit_log.write().await.push(audit);
}
@@ -151,9 +149,6 @@ impl AccessControl {
log[start..].iter().rev().cloned().collect()
}
/// 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
}
+1 -21
View File
@@ -1,6 +1,6 @@
use axum::{
Json, Router,
extract::{Path, Query, State},
extract::{Query, State},
http::StatusCode,
response::IntoResponse,
routing::{get, post},
@@ -13,12 +13,6 @@ 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)
@@ -66,17 +60,3 @@ 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() }))
}
+8 -29
View File
@@ -5,51 +5,30 @@ use axum::{
response::Response,
};
// API key auth middleware. Checks X-API-Key header against configured key.
// Fixed P5-001 (2026-04-23): previously #[allow(dead_code)] — the function
// existed but was never layered onto the router, so [auth] enabled=true
// silently enforced nothing. Now wired via from_fn_with_state in main.rs.
/// API key auth middleware. Checks X-API-Key header against configured key.
pub async fn api_key_auth(
axum::extract::State(expected): axum::extract::State<ApiKey>,
request: Request,
next: Next,
) -> Result<Response, StatusCode> {
// /health stays public (LB/systemd probes). Every other route is gated.
if request.uri().path() == "/health" {
return Ok(next.run(request).await);
}
// Get the expected key from the request extensions (set by the layer)
let expected_key = request.extensions().get::<ApiKey>().cloned();
if let Some(expected) = expected_key {
let provided = request
.headers()
.get("x-api-key")
.and_then(|v| v.to_str().ok());
// Constant-time-ish eq on the raw bytes; good enough for a shared-secret
// X-API-Key. Timing-attack resistance here matters less than the
// equivalent HMAC check would; adopt subtle crate if key-space grows.
match provided {
Some(key) if eq_ct(key.as_bytes(), expected.0.as_bytes()) => {
Ok(next.run(request).await)
}
Some(key) if key == expected.0 => {}
_ => {
tracing::warn!(
path = %request.uri().path(),
"unauthorized request: missing or invalid API key",
);
Err(StatusCode::UNAUTHORIZED)
tracing::warn!("unauthorized request: missing or invalid API key");
return Err(StatusCode::UNAUTHORIZED);
}
}
}
fn eq_ct(a: &[u8], b: &[u8]) -> bool {
if a.len() != b.len() {
return false;
}
let mut diff: u8 = 0;
for (x, y) in a.iter().zip(b.iter()) {
diff |= x ^ y;
}
diff == 0
Ok(next.run(request).await)
}
/// Wrapper type for the API key, stored in request extensions.
@@ -1,37 +0,0 @@
//! Cross-runtime parity helper for `extract_json`.
//!
//! Reads a single model-output string from stdin, runs the Rust
//! extract_json, prints `{"matched": bool, "value": <object|null>}`
//! to stdout as JSON. Exit 0 on success, exit 1 on internal error.
//!
//! The Go counterpart lives at
//! `golangLAKEHOUSE/internal/validator/iterate.go::ExtractJSON`. The
//! parity probe at
//! `golangLAKEHOUSE/scripts/cutover/parity/extract_json_parity.sh`
//! feeds the same fixtures through both and diffs the outputs.
//!
//! Usage:
//! echo '<raw model output>' | parity_extract_json
//! parity_extract_json <<< '...'
use std::io::Read;
fn main() {
let mut buf = String::new();
if let Err(e) = std::io::stdin().read_to_string(&mut buf) {
eprintln!("read stdin: {e}");
std::process::exit(1);
}
let result = gateway::v1::iterate::extract_json(&buf);
let body = serde_json::json!({
"matched": result.is_some(),
"value": result.unwrap_or(serde_json::Value::Null),
});
match serde_json::to_string(&body) {
Ok(s) => println!("{s}"),
Err(e) => {
eprintln!("serialize result: {e}");
std::process::exit(1);
}
}
}
@@ -1,71 +0,0 @@
//! Cross-runtime parity helper for `SessionRecord` JSON shape.
//!
//! Reads a fixture JSON on stdin, builds a `SessionRecord`, emits
//! one JSONL row on stdout. Used by
//! `golangLAKEHOUSE/scripts/cutover/parity/session_log_parity.sh`
//! to verify the Rust gateway's session log shape stays byte-equal
//! to the Go-side validatord's `validator.SessionRecord` (commit
//! 1a3a82a in golangLAKEHOUSE).
use gateway::v1::session_log::{SessionAttemptRecord, SessionRecord, SESSION_RECORD_SCHEMA};
use serde::Deserialize;
use std::io::Read;
#[derive(Deserialize)]
struct FixtureInput {
session_id: String,
kind: String,
model: String,
provider: String,
prompt: String,
iterations: u32,
max_iterations: u32,
final_verdict: String,
attempts: Vec<SessionAttemptRecord>,
#[serde(default)]
artifact: Option<serde_json::Value>,
#[serde(default)]
grounded_in_roster: Option<bool>,
duration_ms: u64,
}
fn main() {
let mut buf = String::new();
if let Err(e) = std::io::stdin().read_to_string(&mut buf) {
eprintln!("read stdin: {e}");
std::process::exit(1);
}
let input: FixtureInput = match serde_json::from_str(&buf) {
Ok(v) => v,
Err(e) => {
eprintln!("parse stdin: {e}");
std::process::exit(1);
}
};
let rec = SessionRecord {
schema: SESSION_RECORD_SCHEMA.to_string(),
session_id: input.session_id,
// Pinned timestamp so both runtimes' rows compare byte-equal
// when the test wrapper normalizes on `daemon` only.
timestamp: "2026-01-01T00:00:00+00:00".to_string(),
daemon: "gateway".to_string(),
kind: input.kind,
model: input.model,
provider: input.provider,
prompt: input.prompt,
iterations: input.iterations,
max_iterations: input.max_iterations,
final_verdict: input.final_verdict,
attempts: input.attempts,
artifact: input.artifact,
grounded_in_roster: input.grounded_in_roster,
duration_ms: input.duration_ms,
};
match serde_json::to_string(&rec) {
Ok(s) => println!("{s}"),
Err(e) => {
eprintln!("marshal: {e}");
std::process::exit(1);
}
}
}
@@ -1,388 +0,0 @@
//! KB context loader — reads recent signal from `data/_kb/*.jsonl` for
//! a given sig_hash + task_class and returns a compact summary.
//!
//! This is the "pipe to the overviewer" from the 2026-04-23 session:
//! the overseer tier (T3, gpt-oss:120b) consumes this context before
//! generating a correction, so its suggestions are informed by
//! historical cost / latency / outcome / prior-correction patterns
//! across ALL profiles that have run this task class — not just the
//! single current loop.
//!
//! Hot-swap profiles read the SAME pool. When a profile activates and
//! starts iterating, its KB context is the shared surface — one
//! profile's learning becomes every profile's starting point.
//!
//! Best-effort throughout: missing files, corrupt rows, empty
//! directories all produce an empty KbContext. The overseer works
//! fine with no history; we just can't seed it then.
use serde::Serialize;
use std::path::Path;
use tokio::io::AsyncBufReadExt;
/// Compact summary returned to the overseer. Bounded size — recent
/// outcomes + corrections plus rolled-up rates. Goal is to fit in a
/// prompt without eating the overseer's context budget.
#[derive(Debug, Clone, Default, Serialize)]
pub struct KbContext {
pub sig_hash: String,
pub task_class: String,
pub recent_outcomes: Vec<OutcomeSummary>,
pub recent_corrections: Vec<CorrectionSummary>,
pub success_rate: Option<f64>,
pub avg_turns: Option<f64>,
pub avg_latency_ms: Option<u64>,
pub total_observed: u32,
}
#[derive(Debug, Clone, Serialize)]
pub struct OutcomeSummary {
pub created_at: String,
pub ok: bool,
pub polarity: String,
pub turns: u32,
pub latency_ms: u64,
pub total_tokens: u64,
pub error: Option<String>,
}
#[derive(Debug, Clone, Serialize)]
pub struct CorrectionSummary {
pub created_at: String,
pub reason: String,
pub correction_preview: String, // first 300 chars
pub applied_at_turn: u32,
}
const OUTCOMES_PATH: &str = "data/_kb/outcomes.jsonl";
const CORRECTIONS_PATH: &str = "data/_kb/overseer_corrections.jsonl";
const RECENT_OUTCOME_LIMIT: usize = 5;
const RECENT_CORRECTION_LIMIT: usize = 3;
const AGGREGATE_WINDOW: usize = 50;
impl KbContext {
/// Build context from the default KB paths.
pub async fn load_for(sig_hash: &str, task_class: &str) -> Self {
Self::load_from(
sig_hash, task_class,
Path::new(OUTCOMES_PATH), Path::new(CORRECTIONS_PATH),
).await
}
/// Path-taking variant — tests inject tmp files without touching
/// the real KB directory (same pattern as append_outcomes_row_at).
pub async fn load_from(
sig_hash: &str,
task_class: &str,
outcomes_path: &Path,
corrections_path: &Path,
) -> Self {
let mut ctx = KbContext {
sig_hash: sig_hash.to_string(),
task_class: task_class.to_string(),
..Default::default()
};
// Scan outcomes — matches on sig_hash primary, task_class
// secondary (so different geos for the same task_class still
// contribute to aggregate rates even though they won't make
// the top-5 recent). The bounded window keeps scan cost
// linear in file size — we're reading tail only.
let outcome_rows = tail_matching(
outcomes_path, AGGREGATE_WINDOW * 4,
|row| {
let row_sig = row.get("sig_hash").and_then(|v| v.as_str()).unwrap_or("");
let row_tc = row.get("task_class").and_then(|v| v.as_str()).unwrap_or("");
row_sig == sig_hash || row_tc == task_class
},
).await;
// Recent outcomes: exact sig_hash match first (strongest
// signal), then task_class fallback up to the limit.
let mut exact: Vec<OutcomeSummary> = Vec::new();
let mut loose: Vec<OutcomeSummary> = Vec::new();
for row in &outcome_rows {
let row_sig = row.get("sig_hash").and_then(|v| v.as_str()).unwrap_or("");
let summary = summarize_outcome(row);
if row_sig == sig_hash { exact.push(summary); }
else { loose.push(summary); }
}
ctx.recent_outcomes = exact.into_iter().rev().take(RECENT_OUTCOME_LIMIT).collect();
if ctx.recent_outcomes.len() < RECENT_OUTCOME_LIMIT {
let need = RECENT_OUTCOME_LIMIT - ctx.recent_outcomes.len();
ctx.recent_outcomes.extend(loose.into_iter().rev().take(need));
}
// Aggregate rates across the full matched window (both
// sig_hash and task_class matches — gives a stable rate even
// on sparse sig_hash history).
let window = outcome_rows.iter().rev().take(AGGREGATE_WINDOW);
let mut ok_count = 0u32;
let mut total = 0u32;
let mut turn_sum = 0u32;
let mut latency_sum = 0u64;
for row in window {
total += 1;
if row.get("ok").and_then(|v| v.as_bool()).unwrap_or(false) { ok_count += 1; }
turn_sum += row.get("turns").and_then(|v| v.as_u64()).unwrap_or(0) as u32;
latency_sum += row.get("usage")
.and_then(|u| u.get("latency_ms"))
.and_then(|v| v.as_u64()).unwrap_or(0);
}
if total > 0 {
ctx.total_observed = total;
ctx.success_rate = Some(ok_count as f64 / total as f64);
ctx.avg_turns = Some(turn_sum as f64 / total as f64);
ctx.avg_latency_ms = Some(latency_sum / total as u64);
}
// Overseer corrections. Prefer sig_hash match; fall back to
// task_class. The overseer reading its OWN prior corrections
// is the main point — if the last 3 attempts produced
// corrections X, Y, Z, the new correction should acknowledge
// those patterns rather than suggest X for the fourth time.
let correction_rows = tail_matching(
corrections_path, RECENT_CORRECTION_LIMIT * 4,
|row| {
let row_sig = row.get("sig_hash").and_then(|v| v.as_str()).unwrap_or("");
let row_tc = row.get("task_class").and_then(|v| v.as_str()).unwrap_or("");
row_sig == sig_hash || row_tc == task_class
},
).await;
let mut c_exact: Vec<CorrectionSummary> = Vec::new();
let mut c_loose: Vec<CorrectionSummary> = Vec::new();
for row in &correction_rows {
let row_sig = row.get("sig_hash").and_then(|v| v.as_str()).unwrap_or("");
let summary = summarize_correction(row);
if row_sig == sig_hash { c_exact.push(summary); }
else { c_loose.push(summary); }
}
ctx.recent_corrections = c_exact.into_iter().rev().take(RECENT_CORRECTION_LIMIT).collect();
if ctx.recent_corrections.len() < RECENT_CORRECTION_LIMIT {
let need = RECENT_CORRECTION_LIMIT - ctx.recent_corrections.len();
ctx.recent_corrections.extend(c_loose.into_iter().rev().take(need));
}
ctx
}
/// Compact string form for the overseer prompt. Deterministic
/// ordering + bounded length so prompt caching stays stable
/// across iterations on the same task.
pub fn to_prompt_section(&self) -> String {
let mut s = String::new();
s.push_str("## Knowledge Base Context\n");
if let (Some(rate), Some(turns), Some(lat)) = (self.success_rate, self.avg_turns, self.avg_latency_ms) {
s.push_str(&format!(
"Across {} prior similar runs: success_rate={:.1}%, avg_turns={:.1}, avg_latency_ms={}\n",
self.total_observed, rate * 100.0, turns, lat,
));
} else {
s.push_str("No prior similar runs recorded.\n");
}
if !self.recent_outcomes.is_empty() {
s.push_str(&format!("\nRecent {} outcomes:\n", self.recent_outcomes.len()));
for o in &self.recent_outcomes {
let err = o.error.as_deref().map(|e| format!(" — {}", truncate(e, 80))).unwrap_or_default();
s.push_str(&format!(
" [{}] ok={} turns={} tokens={} lat={}ms{}\n",
&o.created_at[..19.min(o.created_at.len())],
o.ok, o.turns, o.total_tokens, o.latency_ms, err,
));
}
}
if !self.recent_corrections.is_empty() {
s.push_str(&format!("\nRecent {} overseer corrections (yours — don't repeat):\n", self.recent_corrections.len()));
for c in &self.recent_corrections {
s.push_str(&format!(
" [{}] turn={} reason={} correction={}\n",
&c.created_at[..19.min(c.created_at.len())],
c.applied_at_turn,
truncate(&c.reason, 40),
truncate(&c.correction_preview, 200),
));
}
}
s
}
}
fn summarize_outcome(row: &serde_json::Value) -> OutcomeSummary {
OutcomeSummary {
created_at: row.get("created_at").and_then(|v| v.as_str()).unwrap_or("").to_string(),
ok: row.get("ok").and_then(|v| v.as_bool()).unwrap_or(false),
polarity: row.get("polarity").and_then(|v| v.as_str()).unwrap_or("").to_string(),
turns: row.get("turns").and_then(|v| v.as_u64()).unwrap_or(0) as u32,
latency_ms: row.get("usage").and_then(|u| u.get("latency_ms"))
.and_then(|v| v.as_u64()).unwrap_or(0),
total_tokens: row.get("usage").and_then(|u| u.get("total_tokens"))
.and_then(|v| v.as_u64()).unwrap_or(0),
error: row.get("error").and_then(|v| v.as_str()).map(String::from),
}
}
fn summarize_correction(row: &serde_json::Value) -> CorrectionSummary {
let preview = row.get("correction").and_then(|v| v.as_str()).unwrap_or("");
CorrectionSummary {
created_at: row.get("created_at").and_then(|v| v.as_str()).unwrap_or("").to_string(),
reason: row.get("reason").and_then(|v| v.as_str()).unwrap_or("").to_string(),
correction_preview: truncate(preview, 300),
applied_at_turn: row.get("applied_at_turn").and_then(|v| v.as_u64()).unwrap_or(0) as u32,
}
}
fn truncate(s: &str, n: usize) -> String {
if s.len() <= n { s.to_string() } else { format!("{}…", &s[..n]) }
}
/// Read a JSONL file from the tail, returning at most `limit` rows
/// that match `filter`. Missing file returns empty. Corrupt lines are
/// skipped. Limit is honored from the tail — a full-file scan with an
/// in-memory ring would be wasteful for large outcomes histories, but
/// we cap at reading the whole file and filtering post-hoc for now
/// (reverse-seek line iteration is a real engineering task and the
/// file is bounded by ingest rate; revisit when it bites).
async fn tail_matching<F>(
path: &Path,
limit: usize,
filter: F,
) -> Vec<serde_json::Value>
where
F: Fn(&serde_json::Value) -> bool,
{
let Ok(file) = tokio::fs::File::open(path).await else { return Vec::new(); };
let reader = tokio::io::BufReader::new(file);
let mut lines = reader.lines();
let mut matches: Vec<serde_json::Value> = Vec::new();
while let Ok(Some(line)) = lines.next_line().await {
let Ok(v) = serde_json::from_str::<serde_json::Value>(&line) else { continue };
if filter(&v) {
matches.push(v);
if matches.len() > limit {
// Keep the most-recent window only — drop from the
// front as we go rather than buffering everything.
matches.remove(0);
}
}
}
matches
}
#[cfg(test)]
mod tests {
use super::*;
use tokio::io::AsyncWriteExt;
async fn write_fixture(path: &Path, rows: Vec<serde_json::Value>) {
if let Some(dir) = path.parent() {
tokio::fs::create_dir_all(dir).await.unwrap();
}
let mut f = tokio::fs::OpenOptions::new()
.create(true).write(true).truncate(true).open(path).await.unwrap();
for r in rows {
let mut line = serde_json::to_string(&r).unwrap();
line.push('\n');
f.write_all(line.as_bytes()).await.unwrap();
}
}
fn tmp_path(name: &str) -> std::path::PathBuf {
let nanos = std::time::SystemTime::now().duration_since(std::time::UNIX_EPOCH).unwrap().as_nanos();
std::env::temp_dir().join(format!("lh_kb_ctx_{}_{}_{}", std::process::id(), nanos, name))
}
#[tokio::test]
async fn empty_files_produce_empty_context() {
let op = tmp_path("outcomes.jsonl");
let cp = tmp_path("corrections.jsonl");
let ctx = KbContext::load_from("sig123", "staffing.fill", &op, &cp).await;
assert!(ctx.recent_outcomes.is_empty());
assert!(ctx.recent_corrections.is_empty());
assert!(ctx.success_rate.is_none());
assert_eq!(ctx.total_observed, 0);
}
#[tokio::test]
async fn exact_sig_hash_matches_take_priority() {
let op = tmp_path("outcomes.jsonl");
let cp = tmp_path("corrections.jsonl");
write_fixture(&op, vec![
// Other sig_hash, same task_class — loose match
serde_json::json!({
"sig_hash": "other", "task_class": "staffing.fill",
"ok": false, "polarity": "failure_pattern", "turns": 1,
"usage": {"latency_ms": 1000, "total_tokens": 100},
"created_at": "2026-04-22T10:00:00Z",
}),
// Exact sig_hash — should lead
serde_json::json!({
"sig_hash": "sig123", "task_class": "staffing.fill",
"ok": true, "polarity": "success_confirmation", "turns": 3,
"usage": {"latency_ms": 2000, "total_tokens": 500},
"created_at": "2026-04-23T10:00:00Z",
}),
]).await;
write_fixture(&cp, vec![]).await;
let ctx = KbContext::load_from("sig123", "staffing.fill", &op, &cp).await;
assert_eq!(ctx.recent_outcomes.len(), 2);
assert_eq!(ctx.recent_outcomes[0].created_at, "2026-04-23T10:00:00Z");
assert_eq!(ctx.recent_outcomes[0].ok, true);
assert_eq!(ctx.total_observed, 2);
assert!((ctx.success_rate.unwrap() - 0.5).abs() < 0.001);
}
#[tokio::test]
async fn corrupt_rows_are_skipped() {
let op = tmp_path("outcomes.jsonl");
let cp = tmp_path("corrections.jsonl");
// Mix valid + invalid — invalid should be silently skipped.
if let Some(dir) = op.parent() { tokio::fs::create_dir_all(dir).await.unwrap(); }
tokio::fs::write(&op, "not json\n{\"sig_hash\":\"sig1\",\"task_class\":\"tc\",\"ok\":true,\"turns\":1,\"usage\":{}}\ngarbage\n").await.unwrap();
write_fixture(&cp, vec![]).await;
let ctx = KbContext::load_from("sig1", "tc", &op, &cp).await;
assert_eq!(ctx.recent_outcomes.len(), 1);
}
#[tokio::test]
async fn corrections_preview_is_truncated() {
let op = tmp_path("outcomes.jsonl");
let cp = tmp_path("corrections.jsonl");
let long = "x".repeat(500);
write_fixture(&op, vec![]).await;
write_fixture(&cp, vec![serde_json::json!({
"sig_hash": "sig1", "task_class": "tc",
"reason": "abort", "correction": long, "applied_at_turn": 3,
"created_at": "2026-04-23T10:00:00Z",
})]).await;
let ctx = KbContext::load_from("sig1", "tc", &op, &cp).await;
assert_eq!(ctx.recent_corrections.len(), 1);
// 300-char cap + 3-byte UTF-8 ellipsis character = 303-byte worst case.
assert!(ctx.recent_corrections[0].correction_preview.len() <= 303);
}
#[test]
fn prompt_section_is_stable_for_empty_context() {
let ctx = KbContext::default();
let s = ctx.to_prompt_section();
assert!(s.contains("No prior similar runs recorded"));
}
#[test]
fn prompt_section_reports_aggregate_rates() {
let ctx = KbContext {
total_observed: 10,
success_rate: Some(0.7),
avg_turns: Some(4.2),
avg_latency_ms: Some(45000),
..Default::default()
};
let s = ctx.to_prompt_section();
assert!(s.contains("success_rate=70.0%"));
assert!(s.contains("avg_turns=4.2"));
assert!(s.contains("avg_latency_ms=45000"));
}
}
File diff suppressed because it is too large Load Diff
-19
View File
@@ -1,19 +0,0 @@
//! Library facade for the gateway crate so sub-binaries (e.g.
//! `parity_extract_json`) can reuse the same modules the gateway
//! binary uses.
//!
//! Added 2026-05-02 to support the cross-runtime parity probe at
//! `golangLAKEHOUSE/scripts/cutover/parity/extract_json_parity.sh`.
//! `extract_json` is the load-bearing public surface for that probe.
//!
//! main.rs still uses local `mod foo;` declarations independently —
//! adding this file is purely additive (the binary's module tree is
//! unchanged).
pub mod access;
pub mod access_service;
pub mod auth;
pub mod execution_loop;
pub mod observability;
pub mod tools;
pub mod v1;
+10 -264
View File
@@ -1,7 +1,6 @@
mod access;
mod access_service;
mod auth;
mod execution_loop;
mod observability;
mod tools;
mod v1;
@@ -68,62 +67,14 @@ 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 {
tracing::warn!("workspace rebuild: {e}");
}
// AI sidecar clients — Phase 44 part 3 (2026-04-27).
//
// Two flavors of the same client:
// - `ai_client_direct` posts directly to ${sidecar}/generate. Used
// inside the gateway by V1State + the legacy /ai proxy. These
// call sites are themselves the implementation of /v1/chat
// (or its sidecar shim), so routing them through /v1/chat
// would self-loop.
// - `ai_client_observable` posts via ${gateway}/v1/chat with
// provider="ollama". Used by vectord modules (autotune agent,
// /vectors service) so their LLM calls land in /v1/usage and
// Langfuse traces. Adds one localhost HTTP hop per call (~ms);
// accepted for the observability gain.
//
// The gateway can call its own /v1/chat over localhost during
// boot's transient period because we don't fire any LLM calls
// until the listener is up — the observable client is just
// configured here, not exercised.
let ai_client_direct = aibridge::client::AiClient::new(&config.sidecar.url);
let gateway_self_url = format!("http://{}:{}", config.gateway.host, config.gateway.port);
let ai_client_observable = aibridge::client::AiClient::new_with_gateway(
&config.sidecar.url,
&gateway_self_url,
);
// Backwards-compat alias for the (many) existing references in this file.
// Defaults to direct so the existing wiring (V1State, /ai proxy)
// keeps its non-self-loop transport. New vectord wiring below
// explicitly uses ai_client_observable.
let ai_client = ai_client_direct.clone();
// AI sidecar client
let ai_client = aibridge::client::AiClient::new(&config.sidecar.url);
// Vector service components — built before the router because both the
// /vectors service AND ingestd need the agent handle to enqueue triggers.
@@ -141,12 +92,6 @@ 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.
@@ -161,9 +106,7 @@ async fn main() {
agent_cfg,
vectord::agent::AgentDeps {
store: store.clone(),
// Observable: autotune agent's LLM calls go through
// /v1/chat for /v1/usage + Langfuse visibility.
ai_client: ai_client_observable.clone(),
ai_client: ai_client.clone(),
catalog: registry.clone(),
index_registry: index_reg.clone(),
hnsw_store: hnsw.clone(),
@@ -210,17 +153,10 @@ async fn main() {
agent_handle: agent_handle.clone(),
index_registry: index_reg.clone(),
schedules: sched_store,
// P9-001 fix 2026-04-23: journal reference flows into ingest so
// successful uploads emit a record_ingest event. Journal is Clone
// (Arc<RwLock> inside) so the /journal nest below still sees the
// same buffer + persistence.
journal: Some(journal.clone()),
}))
.nest("/vectors", vectord::service::router(vectord::service::VectorState {
store: store.clone(),
// Observable: /vectors service's LLM calls (RAG, summary,
// playbook synthesis, etc.) flow through /v1/chat.
ai_client: ai_client_observable.clone(),
ai_client: ai_client.clone(),
job_tracker: vectord::jobs::JobTracker::new(),
index_registry: index_reg.clone(),
hnsw_store: hnsw,
@@ -236,52 +172,23 @@ 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();
let tool_reg = tools::registry::ToolRegistry::new_with_defaults();
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
// surface over the existing aibridge → Ollama path. Future
// phases add provider adapters (39), routing engine (40),
// session state (41), etc. All without changing this mount.
;
// Build subject-audit writer BEFORE the V1State literal so the
// validate_workers wrapper can reference it. None = audit disabled
// (key file missing or unreadable); the gateway still serves PII
// paths but produces no audit trail per spec §3.2.
let subject_audit_writer: Option<std::sync::Arc<catalogd::subject_audit::SubjectAuditWriter>> = {
let key_path = std::env::var("LH_SUBJECT_AUDIT_KEY")
.unwrap_or_else(|_| "/etc/lakehouse/subject_audit.key".into());
match catalogd::subject_audit::SubjectAuditWriter::from_key_file(
store.clone(), std::path::Path::new(&key_path)
).await {
Ok(w) => {
tracing::info!("v1: subject audit log enabled (key: {})", key_path);
Some(std::sync::Arc::new(w))
}
Err(e) => {
tracing::warn!(
"v1: subject audit log DISABLED — {} (set LH_SUBJECT_AUDIT_KEY or place ≥32-byte key at /etc/lakehouse/subject_audit.key)",
e
);
None
}
}
};
app = app
.nest("/v1", v1::router(v1::V1State {
ai_client: ai_client.clone(),
usage: std::sync::Arc::new(tokio::sync::RwLock::new(v1::Usage::default())),
@@ -297,95 +204,6 @@ 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
},
kimi_key: {
// Direct Kimi For Coding (api.kimi.com) — bypasses the
// broken-upstream kimi-k2:1t and OpenRouter rate caps.
// Key from /etc/lakehouse/kimi.env (KIMI_API_KEY=sk-kimi-…).
let k = v1::kimi::resolve_kimi_key();
if k.is_some() {
tracing::info!("v1: Kimi key loaded — /v1/chat provider=kimi enabled (model=kimi-for-coding)");
} else {
tracing::debug!("v1: no Kimi key — provider=kimi will 503");
}
k
},
opencode_key: {
// OpenCode GO multi-vendor gateway — Claude Opus 4.7,
// GPT-5.5-pro, Gemini 3.1-pro, Kimi K2.6, DeepSeek, GLM,
// Qwen + free-tier. Key from /etc/lakehouse/opencode.env.
let k = v1::opencode::resolve_opencode_key();
if k.is_some() {
tracing::info!("v1: OpenCode key loaded — /v1/chat provider=opencode enabled (40 models)");
} else {
tracing::debug!("v1: no OpenCode key — provider=opencode will 503");
}
k
},
validate_workers: {
// Load workers_500k.parquet snapshot for /v1/validate.
// Path overridable via LH_WORKERS_PARQUET env. Missing
// file is non-fatal — validators run schema/PII checks
// unaffected; only worker-existence checks fail clean.
let path_str = std::env::var("LH_WORKERS_PARQUET")
.unwrap_or_else(|_| "/home/profit/lakehouse/data/datasets/workers_500k.parquet".into());
let path = std::path::Path::new(&path_str);
let raw: std::sync::Arc<dyn validator::WorkerLookup> = if path.exists() {
match validator::staffing::parquet_lookup::load_workers_parquet(path) {
Ok(lookup) => {
tracing::info!("v1: workers parquet loaded from {} — /v1/validate worker-existence checks enabled", path_str);
lookup
}
Err(e) => {
tracing::warn!("v1: workers parquet at {} unreadable ({e}) — /v1/validate worker-existence checks will fail Consistency", path_str);
std::sync::Arc::new(validator::InMemoryWorkerLookup::new())
}
}
} else {
tracing::warn!("v1: workers parquet at {} not found — /v1/validate worker-existence checks will fail Consistency", path_str);
std::sync::Arc::new(validator::InMemoryWorkerLookup::new())
};
// Wrap with subject-audit decorator. When subject_audit_writer
// is None, the wrapper is a transparent passthrough — no
// audit, no overhead. When Some, every find() call fires an
// audit row via the per-subject HMAC chain. (Step 5 of
// SUBJECT_MANIFESTS_ON_CATALOGD spec.)
std::sync::Arc::new(v1::auditing_worker_lookup::AuditingWorkerLookup::new(
raw,
subject_audit_writer.clone(),
))
},
// Phase 40 early deliverable — Langfuse trace emitter.
// Defaults match mcp-server/tracing.ts conventions so
// gateway traces land in the same staffing project.
@@ -398,88 +216,16 @@ async fn main() {
}
c
},
// Coordinator session JSONL — one row per /v1/iterate
// session for offline DuckDB analysis. Cross-runtime
// parity with Go-side validatord (commit 1a3a82a).
session_log: {
let path = &config.gateway.session_log_path;
let s = v1::session_log::SessionLogger::from_path(path);
if s.is_some() {
tracing::info!(
"v1: session log enabled — coordinator sessions written to {}",
path
);
} else {
tracing::info!("v1: session log disabled (set [gateway].session_log_path to enable)");
}
s
},
// subject_audit was constructed BEFORE the V1State literal
// (see `subject_audit_writer` above) so validate_workers
// could wrap with it. Reuse the same Arc here.
subject_audit: subject_audit_writer.clone(),
}));
// Step 6 of SUBJECT_MANIFESTS_ON_CATALOGD spec — /audit/subject/{id}
// legal-tier endpoint. Only mounted when BOTH the audit writer AND
// the legal token file are present. Disabled-by-default keeps the
// audit surface from accidentally serving without proper credentials
// in dev / bring-up environments.
if let Some(writer) = subject_audit_writer.clone() {
let legal_token_path = std::env::var("LH_LEGAL_AUDIT_TOKEN_FILE")
.unwrap_or_else(|_| "/etc/lakehouse/legal_audit.token".into());
let audit_state = catalogd::audit_endpoint::AuditEndpointState::new(
registry.clone(),
writer.clone(),
std::path::Path::new(&legal_token_path),
).await;
app = app.nest("/audit", catalogd::audit_endpoint::router(audit_state));
tracing::info!("audit endpoint mounted at /audit (legal token: {})", legal_token_path);
// Phase 1.6 Gate 3 — biometric photo upload endpoint. Same
// legal-token gate as /audit (writes to legal-tier storage are
// privileged). Storage root defaults to ./data/biometric/uploads
// unless overridden via LH_BIOMETRIC_STORAGE_ROOT (operators on
// multi-host deployments will want a dedicated mount point).
let biometric_storage_root: std::path::PathBuf = std::env::var("LH_BIOMETRIC_STORAGE_ROOT")
.map(std::path::PathBuf::from)
.unwrap_or_else(|_| std::path::PathBuf::from("./data/biometric/uploads"));
// consent_versions allowlist — counsel-tier deployment safety.
// Defaults to /etc/lakehouse/consent_versions.json; override
// via LH_CONSENT_VERSIONS_FILE. Missing file → permissive
// mode (any non-empty hash accepted, the v1 behavior).
let consent_versions_path: std::path::PathBuf = std::env::var("LH_CONSENT_VERSIONS_FILE")
.map(std::path::PathBuf::from)
.unwrap_or_else(|_| std::path::PathBuf::from("/etc/lakehouse/consent_versions.json"));
let biometric_state = catalogd::biometric_endpoint::BiometricEndpointState::new(
registry.clone(),
writer,
std::path::Path::new(&legal_token_path),
biometric_storage_root.clone(),
).await
.with_consent_versions(&consent_versions_path).await;
app = app.nest("/biometric", catalogd::biometric_endpoint::router(biometric_state));
tracing::info!(
"biometric endpoint mounted at /biometric (storage_root: {}, legal token: {}, consent_versions file: {})",
biometric_storage_root.display(), legal_token_path, consent_versions_path.display()
);
} else {
tracing::warn!("/audit + /biometric endpoints NOT mounted — subject_audit writer is None (no signing key)");
}
// Auth middleware (if enabled) — P5-001 fix 2026-04-23:
// previously only inserted the ApiKey as an extension and never layered
// the middleware, so auth.enabled=true enforced nothing. Now wraps the
// router with from_fn_with_state, which calls api_key_auth on every
// request. /health is exempted inside the middleware (LB probes).
// Auth middleware (if enabled)
if config.auth.enabled {
if let Some(ref key) = config.auth.api_key {
tracing::info!("API key auth enabled — enforcing on all routes except /health");
tracing::info!("API key auth enabled");
let api_key = auth::ApiKey(key.clone());
app = app.layer(axum::middleware::from_fn_with_state(
api_key,
auth::api_key_auth,
));
app = app.layer(axum::Extension(api_key));
// Note: auth middleware applied per-route in production
// For now, the ApiKey extension is available for handlers to check
} else {
tracing::warn!("auth enabled but no api_key set — all requests allowed");
}
-6
View File
@@ -3,18 +3,12 @@ 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.
+14 -4
View File
@@ -67,14 +67,24 @@ pub struct ToolRegistry {
}
impl ToolRegistry {
/// 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 {
Self {
let registry = 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.
+1 -27
View File
@@ -7,7 +7,7 @@ use axum::{
};
use serde::Deserialize;
use super::registry::{ToolInvocation, ToolRegistry};
use super::registry::{Permission, ToolInvocation, ToolRegistry};
use crate::tools::ToolState;
pub fn router(state: ToolState) -> Router {
@@ -92,32 +92,6 @@ 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;
@@ -1,194 +0,0 @@
//! Validator WorkerLookup decorator that fires per-find audit rows.
//!
//! Specification: docs/specs/SUBJECT_MANIFESTS_ON_CATALOGD.md §5 Step 5.
//!
//! Wraps an inner `dyn WorkerLookup`. Every `find(candidate_id)` call
//! produces one `SubjectAuditRow` via the bundled `SubjectAuditWriter`,
//! tagged with `purpose="validator_worker_lookup"`. Audit-write failures
//! are logged only — never propagated to the caller (per spec §3.2:
//! audit-side gaps are preferable to blocking validation).
//!
//! **Why a decorator and not a trait extension**: `WorkerLookup` is a
//! sync trait by design (validator's contract is "in-memory snapshot,
//! no per-call I/O"). Audit writes are async. The decorator bridges
//! them by spawning the audit append onto the current Tokio runtime
//! handle. Per-subject sequencing inside the writer ensures the chain
//! stays intact even with spawned writes (regression-tested at
//! catalogd::subject_audit::tests::concurrent_appends_to_same_subject_serialize).
use catalogd::subject_audit::SubjectAuditWriter;
use shared::types::{AuditAccessor, SubjectAuditRow};
use std::sync::Arc;
use validator::{WorkerLookup, WorkerRecord};
pub struct AuditingWorkerLookup {
inner: Arc<dyn WorkerLookup>,
/// None = audit disabled. find() still runs; just no audit row.
audit: Option<Arc<SubjectAuditWriter>>,
/// Cached Tokio handle so the sync find() path can spawn audit
/// writes onto the right runtime. None at construction = audit
/// is no-op (no runtime context to dispatch into).
runtime_handle: Option<tokio::runtime::Handle>,
}
impl AuditingWorkerLookup {
/// Wrap an inner lookup with optional audit. If `audit` is None,
/// behavior is identical to the inner — no overhead, no audit.
/// MUST be constructed inside a Tokio runtime context (uses
/// `Handle::try_current` to capture the handle).
pub fn new(inner: Arc<dyn WorkerLookup>, audit: Option<Arc<SubjectAuditWriter>>) -> Self {
let runtime_handle = if audit.is_some() {
tokio::runtime::Handle::try_current().ok()
} else {
None
};
if audit.is_some() && runtime_handle.is_none() {
tracing::warn!(
"AuditingWorkerLookup: audit enabled but no Tokio runtime — audit writes disabled"
);
}
Self { inner, audit, runtime_handle }
}
}
impl WorkerLookup for AuditingWorkerLookup {
fn find(&self, candidate_id: &str) -> Option<WorkerRecord> {
let result = self.inner.find(candidate_id);
// Fire audit AFTER the find so the result-state field reflects
// the actual outcome ("success" if found, "not_found" if not).
if let (Some(audit), Some(handle)) = (self.audit.clone(), self.runtime_handle.clone()) {
let cid = candidate_id.to_string();
let result_state = if result.is_some() { "success" } else { "not_found" };
// Single field: "exists" — validator only consumes existence
// + role/city/state from the WorkerRecord. We don't enumerate
// every WorkerRecord field as fields_accessed because that
// would imply they were USED by the caller; the validator
// only proves existence + then reads policy fields downstream.
let row = SubjectAuditRow {
schema: "subject_audit.v1".into(),
ts: chrono::Utc::now(),
candidate_id: cid.clone(),
accessor: AuditAccessor {
kind: "validator_lookup".into(),
daemon: "gateway".into(),
purpose: "validator_worker_lookup".into(),
trace_id: String::new(),
},
fields_accessed: vec!["exists".into()],
result: result_state.into(),
prev_chain_hash: String::new(),
row_hmac: String::new(),
};
// Spawn fire-and-forget. Chain integrity is preserved by the
// writer's per-subject Mutex (regression-tested), so spawning
// is safe. Audit-write errors are logged only.
handle.spawn(async move {
if let Err(e) = audit.append(row).await {
tracing::warn!("validator audit write failed for {cid}: {e}");
}
});
}
result
}
fn len(&self) -> usize {
self.inner.len()
}
}
#[cfg(test)]
mod tests {
use super::*;
use catalogd::subject_audit::SubjectAuditWriter;
use object_store::memory::InMemory;
use validator::InMemoryWorkerLookup;
fn fixture_inner_with(records: Vec<WorkerRecord>) -> Arc<dyn WorkerLookup> {
Arc::new(InMemoryWorkerLookup::from_records(records))
}
fn fixture_record(candidate_id: &str) -> WorkerRecord {
WorkerRecord {
candidate_id: candidate_id.into(),
name: "Test".into(),
status: "active".into(),
city: Some("Chicago".into()),
state: Some("IL".into()),
role: Some("Welder".into()),
blacklisted_clients: vec![],
}
}
#[tokio::test]
async fn find_existing_subject_writes_success_audit_row() {
let inner = fixture_inner_with(vec![fixture_record("CAND-EXIST")]);
let store: Arc<dyn object_store::ObjectStore> = Arc::new(InMemory::new());
let writer = Arc::new(SubjectAuditWriter::with_inline_key(
store.clone(),
(0u8..32).collect(),
));
let lookup = AuditingWorkerLookup::new(inner, Some(writer.clone()));
let r = lookup.find("CAND-EXIST");
assert!(r.is_some());
// Audit is spawned — give it a tick to land.
tokio::task::yield_now().await;
tokio::time::sleep(std::time::Duration::from_millis(50)).await;
let count = writer.verify_chain("CAND-EXIST").await.unwrap();
assert_eq!(count, 1);
}
#[tokio::test]
async fn find_missing_subject_writes_not_found_audit_row() {
let inner = fixture_inner_with(vec![]);
let store: Arc<dyn object_store::ObjectStore> = Arc::new(InMemory::new());
let writer = Arc::new(SubjectAuditWriter::with_inline_key(
store.clone(),
(0u8..32).collect(),
));
let lookup = AuditingWorkerLookup::new(inner, Some(writer.clone()));
let r = lookup.find("CAND-PHANTOM");
assert!(r.is_none());
tokio::task::yield_now().await;
tokio::time::sleep(std::time::Duration::from_millis(50)).await;
// verify_chain returns the row count for that subject (1 row,
// result="not_found"). We don't assert on result text here —
// that's covered by the hand-rolled JSON inspection below.
assert_eq!(writer.verify_chain("CAND-PHANTOM").await.unwrap(), 1);
}
#[tokio::test]
async fn audit_disabled_means_no_writes_no_overhead() {
let inner = fixture_inner_with(vec![fixture_record("CAND-A")]);
let lookup = AuditingWorkerLookup::new(inner, None);
// Just confirm find() still works with no audit — no panic, no
// runtime-handle requirement.
assert!(lookup.find("CAND-A").is_some());
assert!(lookup.find("CAND-MISSING").is_none());
assert_eq!(lookup.len(), 1);
}
#[tokio::test]
async fn many_finds_to_same_subject_produce_intact_chain() {
// Same regression as catalogd's concurrent test, but exercised
// through the validator wrapper path. 30 sequential finds on
// the SAME subject should produce an intact 30-row chain.
let inner = fixture_inner_with(vec![fixture_record("CAND-CHAIN")]);
let store: Arc<dyn object_store::ObjectStore> = Arc::new(InMemory::new());
let writer = Arc::new(SubjectAuditWriter::with_inline_key(
store.clone(),
(0u8..32).collect(),
));
let lookup = AuditingWorkerLookup::new(inner, Some(writer.clone()));
for _ in 0..30 {
let _ = lookup.find("CAND-CHAIN");
}
// Wait for all spawns to finish — the runtime is currently
// single-threaded test runtime, so a few yields drains.
for _ in 0..50 {
tokio::task::yield_now().await;
}
tokio::time::sleep(std::time::Duration::from_millis(100)).await;
let count = writer.verify_chain("CAND-CHAIN").await.unwrap();
assert_eq!(count, 30, "chain corrupted under sequential spawn load");
}
}
-222
View File
@@ -1,222 +0,0 @@
//! 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.text());
} 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.text() });
}
}
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.text().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::new_text("assistant", 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
@@ -1,230 +0,0 @@
//! 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.text() }],
});
}
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.text().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::new_text("assistant", 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);
}
}
}
-543
View File
@@ -1,543 +0,0 @@
//! /v1/iterate — the Phase 43 PRD's "generate → validate → correct → retry" loop.
//!
//! Closes the "0→85% with iteration" thesis structurally. A caller
//! posts a prompt + artifact kind + validation context; the gateway:
//! 1. Generates a JSON artifact via /v1/chat (any provider/model)
//! 2. Extracts the JSON object from the model output
//! 3. Validates via /v1/validate (FillValidator / EmailValidator /
//! PlaybookValidator with the shared WorkerLookup)
//! 4. On ValidationError, appends the error to the prompt and
//! retries up to `max_iterations` (default 3)
//! 5. Returns the accepted artifact + Report on success, OR the
//! attempt history + final error on max-iter exhaustion
//!
//! Internal calls go via HTTP loopback to localhost:gateway_port so
//! the same /v1/usage tracking and Langfuse traces apply. A small
//! latency cost (~1-3ms per loopback hop) for clean separation of
//! concerns and observability.
//!
//! 2026-04-27 Phase 43 v3 part 3: this endpoint makes the iteration
//! loop a first-class lakehouse capability rather than a per-caller
//! re-implementation. Staffing executors, agent loops, and future
//! validators all reach the same code path.
use axum::{extract::State, http::{HeaderMap, StatusCode}, response::IntoResponse, Json};
use serde::{Deserialize, Serialize};
const DEFAULT_MAX_ITERATIONS: u32 = 3;
const LOOPBACK_TIMEOUT_SECS: u64 = 240;
/// Header name used to propagate a Langfuse parent trace id across
/// daemon boundaries. Matches Go's `shared.TraceIDHeader` constant
/// byte-for-byte (commit d6d2fdf in golangLAKEHOUSE) — same wire
/// format means a Go caller can hit Rust's /v1/iterate (or vice
/// versa) and the resulting Langfuse trees nest correctly.
pub const TRACE_ID_HEADER: &str = "x-lakehouse-trace-id";
#[derive(Deserialize)]
pub struct IterateRequest {
/// "fill" | "email" | "playbook" — picks which validator runs.
pub kind: String,
/// The prompt to seed generation. Validation errors from prior
/// attempts are appended on retry.
pub prompt: String,
/// Provider/model passed through to /v1/chat. e.g. "ollama_cloud"
/// + "kimi-k2.6", or "opencode" + "claude-haiku-4-5".
pub provider: String,
pub model: String,
/// Optional system prompt — sent to /v1/chat as the system message.
#[serde(default)]
pub system: Option<String>,
/// Validation context (target_count, city, state, role, client_id
/// for fills; candidate_id for emails). Forwarded to /v1/validate.
#[serde(default)]
pub context: Option<serde_json::Value>,
/// Cap on iteration count. Defaults to 3 per the Phase 43 PRD.
#[serde(default)]
pub max_iterations: Option<u32>,
/// Forwarded to /v1/chat. Defaults to 0.2 if unset.
#[serde(default)]
pub temperature: Option<f64>,
/// Forwarded to /v1/chat. Defaults to 4096 if unset.
#[serde(default)]
pub max_tokens: Option<u32>,
}
#[derive(Serialize)]
pub struct IterateAttempt {
pub iteration: u32,
pub raw: String,
pub status: AttemptStatus,
}
#[derive(Serialize)]
#[serde(tag = "kind", rename_all = "snake_case")]
pub enum AttemptStatus {
/// Model output didn't contain extractable JSON.
NoJson,
/// JSON extracted but failed validation; carries the error.
ValidationFailed { error: serde_json::Value },
/// Validation passed (last attempt's terminal status).
Accepted,
}
#[derive(Serialize)]
pub struct IterateResponse {
pub artifact: serde_json::Value,
pub validation: serde_json::Value,
pub iterations: u32,
pub history: Vec<IterateAttempt>,
/// Echoes the resolved trace id (caller-forwarded header, body
/// field, langfuse-middleware mint, or local fallback). Operators
/// pivot from this id straight into Langfuse + the
/// coordinator_sessions.jsonl join key. Cross-runtime parity with
/// Go's `validator.IterateResponse` (commit 6847bbc in
/// golangLAKEHOUSE).
#[serde(skip_serializing_if = "Option::is_none")]
pub trace_id: Option<String>,
}
#[derive(Serialize)]
pub struct IterateFailure {
pub error: String,
pub iterations: u32,
pub history: Vec<IterateAttempt>,
#[serde(skip_serializing_if = "Option::is_none")]
pub trace_id: Option<String>,
}
pub async fn iterate(
State(state): State<super::V1State>,
headers: HeaderMap,
Json(req): Json<IterateRequest>,
) -> impl IntoResponse {
let max_iter = req.max_iterations.unwrap_or(DEFAULT_MAX_ITERATIONS).max(1);
let temperature = req.temperature.unwrap_or(0.2);
let max_tokens = req.max_tokens.unwrap_or(4096);
let mut history: Vec<IterateAttempt> = Vec::with_capacity(max_iter as usize);
let mut attempt_records: Vec<super::session_log::SessionAttemptRecord> = Vec::with_capacity(max_iter as usize);
let mut current_prompt = req.prompt.clone();
// Resolve the parent Langfuse trace id. Caller-forwarded header
// wins (cross-daemon tree linkage); otherwise mint a fresh id so
// the iterate session is its own tree. Same shape as the Go-side
// validatord trace propagation.
let trace_id: String = headers
.get(TRACE_ID_HEADER)
.and_then(|v| v.to_str().ok())
.filter(|s| !s.is_empty())
.map(|s| s.to_string())
.unwrap_or_else(new_trace_id);
let client = match reqwest::Client::builder()
.timeout(std::time::Duration::from_secs(LOOPBACK_TIMEOUT_SECS))
.build() {
Ok(c) => c,
Err(e) => {
// Even infrastructure failures get a session row so a
// missing /v1/iterate event never silently disappears
// from the longitudinal log.
write_infra_error(&state, &req, &trace_id, max_iter, 0, format!("client build: {e}")).await;
return (StatusCode::INTERNAL_SERVER_ERROR, format!("client build: {e}")).into_response();
}
};
// Self-loopback to the gateway port. Carries gateway internal
// calls through /v1/chat + /v1/validate so /v1/usage tracks them.
let gateway = "http://127.0.0.1:3100";
let t0 = std::time::Instant::now();
for iteration in 0..max_iter {
let attempt_started = chrono::Utc::now();
// ── Generate ──
let mut messages = Vec::with_capacity(2);
if let Some(sys) = &req.system {
messages.push(serde_json::json!({"role": "system", "content": sys}));
}
messages.push(serde_json::json!({"role": "user", "content": current_prompt}));
let chat_body = serde_json::json!({
"messages": messages,
"provider": req.provider,
"model": req.model,
"temperature": temperature,
"max_tokens": max_tokens,
});
let raw = match call_chat(&client, gateway, &chat_body, &trace_id).await {
Ok(r) => r,
Err(e) => {
write_infra_error(&state, &req, &trace_id, max_iter, t0.elapsed().as_millis() as u64, format!("/v1/chat hop failed at iter {iteration}: {e}")).await;
return (StatusCode::BAD_GATEWAY, format!("/v1/chat hop failed at iter {iteration}: {e}")).into_response();
}
};
// ── Extract JSON ──
let artifact = match extract_json(&raw) {
Some(a) => a,
None => {
let span_id = emit_attempt_span(
&state, &trace_id, iteration, &req, &current_prompt, &raw, "no_json", None,
attempt_started, chrono::Utc::now(),
);
history.push(IterateAttempt {
iteration,
raw: raw.chars().take(2000).collect(),
status: AttemptStatus::NoJson,
});
attempt_records.push(super::session_log::SessionAttemptRecord {
iteration,
verdict_kind: "no_json".to_string(),
error: None,
span_id,
});
current_prompt = format!(
"{}\n\nYour previous attempt did not contain a JSON object. Reply with ONLY a valid JSON object matching the requested artifact shape.",
req.prompt,
);
continue;
}
};
// ── Validate ──
let validate_body = serde_json::json!({
"kind": req.kind,
"artifact": artifact,
"context": req.context.clone().unwrap_or(serde_json::Value::Null),
});
match call_validate(&client, gateway, &validate_body, &trace_id).await {
Ok(report) => {
let span_id = emit_attempt_span(
&state, &trace_id, iteration, &req, &current_prompt, &raw, "accepted", None,
attempt_started, chrono::Utc::now(),
);
history.push(IterateAttempt {
iteration,
raw: raw.chars().take(2000).collect(),
status: AttemptStatus::Accepted,
});
attempt_records.push(super::session_log::SessionAttemptRecord {
iteration,
verdict_kind: "accepted".to_string(),
error: None,
span_id,
});
let duration_ms = t0.elapsed().as_millis() as u64;
let grounded = grounded_in_roster(&state, &req.kind, &artifact);
write_session_accepted(&state, &req, &trace_id, iteration + 1, max_iter, attempt_records, &artifact, grounded, duration_ms).await;
return (StatusCode::OK, Json(IterateResponse {
artifact,
validation: report,
iterations: iteration + 1,
history,
trace_id: Some(trace_id.clone()),
})).into_response();
}
Err(err) => {
let err_summary = err.to_string();
let span_id = emit_attempt_span(
&state, &trace_id, iteration, &req, &current_prompt, &raw, "validation_failed",
Some(err_summary.clone()),
attempt_started, chrono::Utc::now(),
);
history.push(IterateAttempt {
iteration,
raw: raw.chars().take(2000).collect(),
status: AttemptStatus::ValidationFailed {
error: serde_json::to_value(&err_summary).unwrap_or(serde_json::Value::Null),
},
});
attempt_records.push(super::session_log::SessionAttemptRecord {
iteration,
verdict_kind: "validation_failed".to_string(),
error: Some(err_summary.clone()),
span_id,
});
// Append validation feedback to prompt for next iter.
// The model sees concrete failure mode + retries with
// corrective context. This is the "observer correction"
// in Phase 43 PRD shape, simplified — the validator
// itself IS the observer for now.
current_prompt = format!(
"{}\n\nPrior attempt failed validation:\n{}\n\nFix the specific issue above and respond with a corrected JSON object.",
req.prompt, err_summary,
);
continue;
}
}
}
let duration_ms = t0.elapsed().as_millis() as u64;
write_session_failure(&state, &req, &trace_id, max_iter, max_iter, attempt_records, duration_ms).await;
(StatusCode::UNPROCESSABLE_ENTITY, Json(IterateFailure {
error: format!("max iterations reached ({max_iter}) without passing validation"),
iterations: max_iter,
history,
trace_id: Some(trace_id.clone()),
})).into_response()
}
// ─── Helpers — Langfuse spans + session log + roster check ─────────
fn emit_attempt_span(
state: &super::V1State,
trace_id: &str,
iteration: u32,
req: &IterateRequest,
prompt: &str,
raw: &str,
verdict: &str,
error: Option<String>,
started: chrono::DateTime<chrono::Utc>,
ended: chrono::DateTime<chrono::Utc>,
) -> Option<String> {
let lf = state.langfuse.as_ref()?;
Some(lf.emit_attempt_span(super::langfuse_trace::AttemptSpan {
trace_id: trace_id.to_string(),
iteration,
model: req.model.clone(),
provider: req.provider.clone(),
prompt: prompt.to_string(),
raw: raw.to_string(),
verdict: verdict.to_string(),
error,
start_time: started.to_rfc3339(),
end_time: ended.to_rfc3339(),
}))
}
/// Verify every fill artifact's candidate IDs exist in the roster.
/// Returns Some(true)/Some(false) on the fill kind, None otherwise
/// (other kinds don't have worker IDs to ground). Same semantics as
/// Go's `handlers.rosterCheckFor("fill")`.
fn grounded_in_roster(
state: &super::V1State,
kind: &str,
artifact: &serde_json::Value,
) -> Option<bool> {
if kind != "fill" {
return None;
}
let fills = artifact.get("fills").and_then(|v| v.as_array())?;
for f in fills {
let id = match f.get("candidate_id").and_then(|v| v.as_str()) {
Some(s) if !s.is_empty() => s,
_ => return Some(false),
};
if state.validate_workers.find(id).is_none() {
return Some(false);
}
}
Some(true)
}
async fn write_session_accepted(
state: &super::V1State,
req: &IterateRequest,
trace_id: &str,
iterations: u32,
max_iter: u32,
attempts: Vec<super::session_log::SessionAttemptRecord>,
artifact: &serde_json::Value,
grounded: Option<bool>,
duration_ms: u64,
) {
let Some(logger) = state.session_log.as_ref() else { return };
let rec = build_session_record(req, trace_id, "accepted", iterations, max_iter, attempts, Some(artifact.clone()), grounded, duration_ms);
logger.append(rec).await;
}
async fn write_session_failure(
state: &super::V1State,
req: &IterateRequest,
trace_id: &str,
iterations: u32,
max_iter: u32,
attempts: Vec<super::session_log::SessionAttemptRecord>,
duration_ms: u64,
) {
let Some(logger) = state.session_log.as_ref() else { return };
let rec = build_session_record(req, trace_id, "max_iter_exhausted", iterations, max_iter, attempts, None, None, duration_ms);
logger.append(rec).await;
}
async fn write_infra_error(
state: &super::V1State,
req: &IterateRequest,
trace_id: &str,
max_iter: u32,
duration_ms: u64,
error: String,
) {
let Some(logger) = state.session_log.as_ref() else { return };
let attempts = vec![super::session_log::SessionAttemptRecord {
iteration: 0,
verdict_kind: "infra_error".to_string(),
error: Some(error),
span_id: None,
}];
let rec = build_session_record(req, trace_id, "infra_error", 0, max_iter, attempts, None, None, duration_ms);
logger.append(rec).await;
}
fn build_session_record(
req: &IterateRequest,
trace_id: &str,
final_verdict: &str,
iterations: u32,
max_iter: u32,
attempts: Vec<super::session_log::SessionAttemptRecord>,
artifact: Option<serde_json::Value>,
grounded: Option<bool>,
duration_ms: u64,
) -> super::session_log::SessionRecord {
super::session_log::SessionRecord {
schema: super::session_log::SESSION_RECORD_SCHEMA.to_string(),
session_id: trace_id.to_string(),
timestamp: chrono::Utc::now().to_rfc3339(),
daemon: "gateway".to_string(),
kind: req.kind.clone(),
model: req.model.clone(),
provider: req.provider.clone(),
prompt: super::session_log::truncate(&req.prompt, 4000),
iterations,
max_iterations: max_iter,
final_verdict: final_verdict.to_string(),
attempts,
artifact,
grounded_in_roster: grounded,
duration_ms,
}
}
/// Generate a fresh trace id when no parent was forwarded. Same
/// time-ordered hex shape Langfuse already accepts elsewhere in this
/// crate (see `langfuse_trace::uuid_v7_like`).
fn new_trace_id() -> String {
let ts = chrono::Utc::now().timestamp_nanos_opt().unwrap_or(0);
let rand = std::time::SystemTime::now()
.duration_since(std::time::UNIX_EPOCH)
.map(|d| d.subsec_nanos())
.unwrap_or(0);
format!("{:016x}-{:08x}", ts, rand)
}
async fn call_chat(client: &reqwest::Client, gateway: &str, body: &serde_json::Value, trace_id: &str) -> Result<String, String> {
let mut req = client.post(format!("{gateway}/v1/chat")).json(body);
if !trace_id.is_empty() {
req = req.header(TRACE_ID_HEADER, trace_id);
}
let resp = req.send().await.map_err(|e| format!("chat hop: {e}"))?;
let status = resp.status();
if !status.is_success() {
let body = resp.text().await.unwrap_or_default();
return Err(format!("chat {}: {}", status, body.chars().take(300).collect::<String>()));
}
let parsed: serde_json::Value = resp.json().await.map_err(|e| format!("chat parse: {e}"))?;
Ok(parsed.pointer("/choices/0/message/content")
.and_then(|v| v.as_str())
.unwrap_or("")
.to_string())
}
async fn call_validate(client: &reqwest::Client, gateway: &str, body: &serde_json::Value, trace_id: &str) -> Result<serde_json::Value, String> {
let mut req = client.post(format!("{gateway}/v1/validate")).json(body);
if !trace_id.is_empty() {
req = req.header(TRACE_ID_HEADER, trace_id);
}
let resp = req.send().await.map_err(|e| format!("validate hop: {e}"))?;
let status = resp.status();
let parsed: serde_json::Value = resp.json().await.map_err(|e| format!("validate parse: {e}"))?;
if status.is_success() {
Ok(parsed)
} else {
// The /v1/validate endpoint returns a ValidationError JSON
// on 422; surface its structure verbatim so the prompt-
// appending step gets specific failure detail.
Err(serde_json::to_string(&parsed).unwrap_or_else(|_| format!("validation {} (unparseable body)", status)))
}
}
/// Extract the first JSON object from a model's output. Handles
/// fenced code blocks (```json ... ```), bare braces, and stray
/// prose around the JSON. Returns None on no extractable object.
///
/// Made `pub` 2026-05-02 to support the cross-runtime parity probe
/// at `golangLAKEHOUSE/scripts/cutover/parity/extract_json_parity.sh`.
/// The Go counterpart lives at `internal/validator/iterate.go::ExtractJSON`;
/// when either runtime's algorithm changes the parity probe surfaces
/// the divergence.
pub fn extract_json(raw: &str) -> Option<serde_json::Value> {
// Try fenced first.
let candidates: Vec<String> = {
let mut out = vec![];
let mut s = raw;
while let Some(start) = s.find("```") {
let after = &s[start + 3..];
// Skip optional language tag (json, etc.)
let body_start = after.find('\n').map(|n| n + 1).unwrap_or(0);
let body = &after[body_start..];
if let Some(end) = body.find("```") {
out.push(body[..end].trim().to_string());
s = &body[end + 3..];
} else { break; }
}
out
};
for c in &candidates {
if let Ok(v) = serde_json::from_str::<serde_json::Value>(c) {
if v.is_object() { return Some(v); }
}
}
// Fall back to outermost {...} balance.
let bytes = raw.as_bytes();
let mut depth = 0i32;
let mut start: Option<usize> = None;
for (i, &b) in bytes.iter().enumerate() {
match b {
b'{' => { if start.is_none() { start = Some(i); } depth += 1; }
b'}' => {
depth -= 1;
if depth == 0 {
if let Some(s) = start {
let slice = &raw[s..=i];
if let Ok(v) = serde_json::from_str::<serde_json::Value>(slice) {
if v.is_object() { return Some(v); }
}
start = None;
}
}
}
_ => {}
}
}
None
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn extract_json_from_fenced_block() {
let raw = "Here's my answer:\n```json\n{\"fills\": [{\"candidate_id\": \"W-1\"}]}\n```\nDone.";
let v = extract_json(raw).unwrap();
assert!(v.get("fills").is_some());
}
#[test]
fn extract_json_from_bare_braces() {
let raw = "Here you go: {\"fills\": [{\"candidate_id\": \"W-2\"}]}";
let v = extract_json(raw).unwrap();
assert!(v.get("fills").is_some());
}
#[test]
fn extract_json_returns_none_on_no_object() {
assert!(extract_json("just prose, no json").is_none());
}
#[test]
fn extract_json_picks_first_balanced() {
let raw = "{\"a\":1} then {\"b\":2}";
let v = extract_json(raw).unwrap();
assert_eq!(v.get("a").and_then(|v| v.as_i64()), Some(1));
}
}
-227
View File
@@ -1,227 +0,0 @@
//! Kimi For Coding adapter — direct provider for `kimi-for-coding`
//! (kimi-k2.6 underneath). Used when Ollama Cloud's `kimi-k2:1t` is
//! returning sustained 5xx (broken upstream) and OpenRouter's
//! `moonshotai/kimi-k2.6` is rate-limited.
//!
//! Endpoint per `kimi.com/code/docs` and `moonshotai.github.io/kimi-cli`:
//! base_url: https://api.kimi.com/coding/v1
//! model id: kimi-for-coding
//! auth: Bearer sk-kimi-…
//! protocol: OpenAI Chat Completions compatible
//!
//! IMPORTANT: `api.kimi.com` is a separate account system from
//! `api.moonshot.ai` and `api.moonshot.cn`. Keys are NOT interchangeable.
//! This adapter is for `sk-kimi-*` keys provisioned via the Kimi
//! membership console only.
//!
//! Key sourcing priority:
//! 1. Env var `KIMI_API_KEY` (loaded from /etc/lakehouse/kimi.env via
//! systemd EnvironmentFile=)
//! 2. /etc/lakehouse/kimi.env directly (rescue path if env not loaded)
//!
//! First hit wins. Resolved once at gateway startup, stored on
//! `V1State.kimi_key`.
use std::time::Duration;
use serde::{Deserialize, Serialize};
use super::{ChatRequest, ChatResponse, Choice, Message, UsageBlock};
const KIMI_BASE_URL: &str = "https://api.kimi.com/coding/v1";
// Default 600s — kimi-for-coding is a reasoning model; on large
// code-audit prompts (~50KB+ input + 8K output) it routinely needs
// 3-8 min to think + emit. Override with KIMI_TIMEOUT_SECS env var.
const KIMI_TIMEOUT_SECS_DEFAULT: u64 = 600;
fn kimi_timeout_secs() -> u64 {
std::env::var("KIMI_TIMEOUT_SECS")
.ok()
.and_then(|s| s.trim().parse::<u64>().ok())
.filter(|&n| n > 0)
.unwrap_or(KIMI_TIMEOUT_SECS_DEFAULT)
}
pub fn resolve_kimi_key() -> Option<String> {
if let Ok(k) = std::env::var("KIMI_API_KEY") {
if !k.trim().is_empty() { return Some(k.trim().to_string()); }
}
if let Ok(raw) = std::fs::read_to_string("/etc/lakehouse/kimi.env") {
for line in raw.lines() {
if let Some(rest) = line.strip_prefix("KIMI_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 "kimi/" namespace prefix if the caller used it so the
// upstream API sees the bare model id (e.g. "kimi-for-coding").
let model = req.model.strip_prefix("kimi/").unwrap_or(&req.model).to_string();
// Flatten content to a plain String. api.kimi.com is text-only on
// the coding endpoint; the OpenAI multimodal array shape
// ([{type:"text",text:"..."},{type:"image_url",...}]) returns 400.
// Message::text() concats text-parts and drops non-text. Caught
// 2026-04-27 by Kimi's self-audit (kimi.rs:137 — content as raw
// serde_json::Value risked upstream rejection).
let body = KimiChatBody {
model: model.clone(),
messages: req.messages.iter().map(|m| KimiMessage {
role: m.role.clone(),
content: serde_json::Value::String(m.text()),
}).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(kimi_timeout_secs()))
.build()
.map_err(|e| format!("build client: {e}"))?;
let t0 = std::time::Instant::now();
let resp = client
.post(format!("{}/chat/completions", KIMI_BASE_URL))
.bearer_auth(key)
// api.kimi.com gates this endpoint by User-Agent — only sanctioned
// coding agents (Claude Code, Kimi CLI, Roo Code, Kilo Code) get
// through. Generic clients receive 403 access_terminated_error.
// J accepted the TOS risk on 2026-04-27; revisit if Moonshot
// tightens enforcement.
.header("User-Agent", "claude-code/1.0.0")
.json(&body)
.send()
.await
.map_err(|e| format!("api.kimi.com unreachable: {e}"))?;
let status = resp.status();
if !status.is_success() {
let body = resp.text().await.unwrap_or_else(|_| "?".into());
return Err(format!("api.kimi.com {}: {}", status, body));
}
let parsed: KimiChatResponse = resp.json().await
.map_err(|e| format!("invalid kimi response: {e}"))?;
let latency_ms = t0.elapsed().as_millis();
let choice = parsed.choices.into_iter().next()
.ok_or_else(|| "kimi 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.text().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 = "kimi",
model = %model,
prompt_tokens,
completion_tokens,
latency_ms = latency_ms as u64,
"kimi 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: serde_json::Value::String(text), ..Default::default() },
finish_reason: choice.finish_reason.unwrap_or_else(|| "stop".into()),
}],
usage: UsageBlock {
prompt_tokens,
completion_tokens,
total_tokens: prompt_tokens + completion_tokens,
},
})
}
// -- Kimi wire shapes (OpenAI-compatible) --
#[derive(Serialize)]
struct KimiChatBody {
model: String,
messages: Vec<KimiMessage>,
max_tokens: u32,
temperature: f64,
stream: bool,
}
#[derive(Serialize)]
struct KimiMessage { role: String, content: serde_json::Value }
#[derive(Deserialize)]
struct KimiChatResponse {
choices: Vec<KimiChoice>,
#[serde(default)]
usage: Option<KimiUsage>,
}
#[derive(Deserialize)]
struct KimiChoice {
message: KimiMessageResp,
#[serde(default)]
finish_reason: Option<String>,
}
#[derive(Deserialize)]
struct KimiMessageResp { content: String }
#[derive(Deserialize)]
struct KimiUsage { prompt_tokens: u32, completion_tokens: u32 }
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn resolve_kimi_key_does_not_panic() {
let _ = resolve_kimi_key();
}
#[test]
fn chat_body_serializes_to_openai_shape() {
let body = KimiChatBody {
model: "kimi-for-coding".into(),
messages: vec![
KimiMessage { 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\":\"kimi-for-coding\""));
assert!(json.contains("\"messages\""));
assert!(json.contains("\"max_tokens\":800"));
assert!(json.contains("\"stream\":false"));
}
#[test]
fn model_prefix_strip() {
let cases = [
("kimi/kimi-for-coding", "kimi-for-coding"),
("kimi-for-coding", "kimi-for-coding"),
("kimi/kimi-k2.6", "kimi-k2.6"),
];
for (input, expected) in cases {
let out = input.strip_prefix("kimi/").unwrap_or(input);
assert_eq!(out, expected, "{input} should become {expected}");
}
}
}
+20 -112
View File
@@ -76,85 +76,14 @@ impl LangfuseClient {
});
}
/// Fire-and-forget per-iteration span emit. Returns the generated
/// span id synchronously so the caller can stamp it on
/// `IterateAttempt.span_id` before the network round-trip resolves.
/// Mirrors Go's `validator.Tracer` callback shape.
pub fn emit_attempt_span(&self, sp: AttemptSpan) -> String {
let span_id = uuid_v7_like();
let span_id_for_caller = span_id.clone();
let this = self.clone();
tokio::spawn(async move {
if let Err(e) = this.emit_attempt_span_inner(span_id, sp).await {
tracing::warn!(target: "v1.langfuse", "iterate span drop: {e}");
}
});
span_id_for_caller
}
async fn emit_attempt_span_inner(&self, span_id: String, sp: AttemptSpan) -> Result<(), String> {
let level = if sp.verdict == "accepted" { "DEFAULT" } else { "WARNING" };
let batch = IngestionBatch {
batch: vec![IngestionEvent {
id: uuid_v7_like(),
timestamp: sp.end_time.clone(),
kind: "span-create",
body: serde_json::json!({
"id": span_id,
"traceId": sp.trace_id,
"name": format!("iterate.attempt[{}]", sp.iteration),
"input": serde_json::json!({
"iteration": sp.iteration,
"model": sp.model,
"provider": sp.provider,
"prompt": truncate(&sp.prompt, 4000),
}),
"output": serde_json::json!({
"verdict": sp.verdict,
"error": sp.error,
"raw": truncate(&sp.raw, 4000),
}),
"level": level,
"startTime": sp.start_time,
"endTime": sp.end_time,
}),
}],
};
self.post_batch(batch).await
}
async fn post_batch(&self, batch: IngestionBatch) -> Result<(), String> {
let url = format!("{}{}", self.inner.base_url.trim_end_matches('/'), INGESTION_PATH);
let resp = self.inner.http
.post(url)
.basic_auth(&self.inner.public_key, Some(&self.inner.secret_key))
.json(&batch)
.send()
.await
.map_err(|e| format!("POST failed: {e}"))?;
if !resp.status().is_success() {
return Err(format!("{}: {}", resp.status(), resp.text().await.unwrap_or_default()));
}
Ok(())
}
async fn emit_chat_inner(&self, ev: ChatTrace) -> Result<(), String> {
// When the caller forwarded a parent trace id (via the
// X-Lakehouse-Trace-Id header → V1State plumbing), attach the
// generation as a child of that trace. Without a parent we
// mint a new top-level trace per call (Phase 40 default).
let trace_id = ev.parent_trace_id.clone().unwrap_or_else(uuid_v7_like);
let nested = ev.parent_trace_id.is_some();
let trace_id = uuid_v7_like();
let gen_id = uuid_v7_like();
let trace_ts = ev.start_time.clone();
let mut events = Vec::with_capacity(2);
if !nested {
// Only mint a fresh trace-create when we don't have a parent.
// Reusing a parent trace id without re-creating it is the
// contract that lets validatord's iterate-session show up
// as one tree in Langfuse.
events.push(IngestionEvent {
let batch = IngestionBatch {
batch: vec![
IngestionEvent {
id: uuid_v7_like(),
timestamp: trace_ts.clone(),
kind: "trace-create",
@@ -170,9 +99,8 @@ impl LangfuseClient {
"think": ev.think,
}),
}),
});
}
events.push(IngestionEvent {
},
IngestionEvent {
id: uuid_v7_like(),
timestamp: ev.end_time.clone(),
kind: "generation-create",
@@ -201,17 +129,23 @@ impl LangfuseClient {
"latency_ms": ev.latency_ms,
}),
}),
});
},
],
};
self.post_batch(IngestionBatch { batch: events }).await
let url = format!("{}{}", self.inner.base_url.trim_end_matches('/'), INGESTION_PATH);
let resp = self.inner.http
.post(url)
.basic_auth(&self.inner.public_key, Some(&self.inner.secret_key))
.json(&batch)
.send()
.await
.map_err(|e| format!("POST failed: {e}"))?;
if !resp.status().is_success() {
return Err(format!("{}: {}", resp.status(), resp.text().await.unwrap_or_default()));
}
Ok(())
}
/// Truncate a string to at most `n` chars (NOT bytes). Matches the Go
/// `trim` helper used in session log + attempt-span emission so an
/// operator reading two cross-runtime traces sees the same boundary.
fn truncate(s: &str, n: usize) -> String {
s.chars().take(n).collect()
}
/// Everything the v1.chat handler collects for one completed call.
@@ -228,32 +162,6 @@ pub struct ChatTrace {
pub start_time: String,
pub end_time: String,
pub latency_ms: u64,
/// When set, attach this chat trace as a child of the named
/// Langfuse trace instead of starting a new top-level trace. Used
/// by `/v1/iterate` to nest its inner /v1/chat hops under the
/// iterate-session trace so a multi-call session shows in
/// Langfuse as ONE trace tree, not N+1 disconnected traces.
/// Matches the Go-side `X-Lakehouse-Trace-Id` propagation
/// (commit d6d2fdf in golangLAKEHOUSE).
pub parent_trace_id: Option<String>,
}
/// One iteration attempt inside `/v1/iterate`'s loop. Becomes one
/// span on the parent trace when emitted via `emit_attempt_span`.
/// Matches Go's `validator.AttemptSpan` shape so the cross-runtime
/// observability surface is consistent.
pub struct AttemptSpan {
pub trace_id: String,
pub iteration: u32,
pub model: String,
pub provider: String,
pub prompt: String,
pub raw: String,
/// Verdict kind: "no_json" | "validation_failed" | "accepted"
pub verdict: String,
pub error: Option<String>,
pub start_time: String,
pub end_time: String,
}
#[derive(Serialize)]
+22 -569
View File
@@ -13,19 +13,7 @@
pub mod ollama;
pub mod ollama_cloud;
pub mod openrouter;
pub mod gemini;
pub mod claude;
pub mod kimi;
pub mod opencode;
pub mod validate;
pub mod iterate;
pub mod auditing_worker_lookup;
pub mod langfuse_trace;
pub mod session_log;
pub mod mode;
pub mod respond;
pub mod truth;
use axum::{
Router,
@@ -46,58 +34,10 @@ 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>,
/// Kimi For Coding (api.kimi.com) bearer token — direct provider
/// for `kimi-for-coding`. Used when Ollama Cloud's `kimi-k2:1t` is
/// upstream-broken. Loaded at startup via `kimi::resolve_kimi_key()`
/// from `KIMI_API_KEY` env or `/etc/lakehouse/kimi.env`. None =
/// provider="kimi" calls 503.
pub kimi_key: Option<String>,
/// OpenCode GO (opencode.ai) bearer token — multi-vendor curated
/// gateway. One sk-* key reaches Claude Opus 4.7, GPT-5.5-pro,
/// Gemini 3.1-pro, Kimi K2.6, DeepSeek, GLM, Qwen + free-tier.
/// Loaded at startup via `opencode::resolve_opencode_key()` from
/// `OPENCODE_API_KEY` env or `/etc/lakehouse/opencode.env`. None =
/// provider="opencode" calls 503.
pub opencode_key: Option<String>,
/// Shared WorkerLookup loaded once at startup from
/// workers_500k.parquet (path: LH_WORKERS_PARQUET env, default
/// data/datasets/workers_500k.parquet). Used by /v1/validate to
/// run FillValidator/EmailValidator with worker-existence checks.
/// Falls back to an empty InMemoryWorkerLookup if the file is
/// missing — validators still run schema/PII checks but every
/// worker-existence check fails (Consistency error), which is
/// the correct behavior when the roster isn't configured.
pub validate_workers: std::sync::Arc<dyn validator::WorkerLookup>,
/// Phase 40 early deliverable — Langfuse client. None = tracing
/// disabled (keys missing or container unreachable). Traces are
/// fire-and-forget: never block the response path.
pub langfuse: Option<langfuse_trace::LangfuseClient>,
/// Coordinator session JSONL writer (path from
/// `[gateway].session_log_path`). One row per `/v1/iterate`
/// session for offline DuckDB analysis. None = disabled.
/// Cross-runtime parity with the Go-side `validatord`
/// `[validatord].session_log_path` (commit 1a3a82a in
/// golangLAKEHOUSE).
pub session_log: Option<session_log::SessionLogger>,
/// Per-subject audit log writer (HMAC-chained JSONL). Loaded at
/// startup from /etc/lakehouse/subject_audit.key if the file is
/// present and ≥32 bytes. None = audit disabled with a warning
/// at startup; PII access is still served but produces no audit
/// trail. See docs/specs/SUBJECT_MANIFESTS_ON_CATALOGD.md.
pub subject_audit: Option<std::sync::Arc<catalogd::subject_audit::SubjectAuditWriter>>,
}
#[derive(Default, Clone, Serialize)]
@@ -106,101 +46,25 @@ pub struct Usage {
pub prompt_tokens: u64,
pub completion_tokens: u64,
pub total_tokens: u64,
#[serde(default)]
pub by_provider: std::collections::HashMap<String, ProviderUsage>,
}
#[derive(Default, Clone, Serialize)]
pub struct ProviderUsage {
pub requests: u64,
pub prompt_tokens: u64,
pub completion_tokens: u64,
pub total_tokens: u64,
}
pub fn router(state: V1State) -> Router {
Router::new()
.route("/chat", post(chat))
// Canonical OpenAI path alias — lets any client built on the
// openai SDK (pi-ai, langchain-js, etc.) treat the gateway as
// a drop-in middleware via OPENAI_BASE_URL=http://gw/v1 alone.
// Same handler as /chat; same OpenAI-compatible request shape.
.route("/chat/completions", post(chat))
.route("/respond", post(respond::respond))
.route("/usage", get(usage))
.route("/sessions", get(sessions))
.route("/context", get(truth::context))
.route("/mode", post(mode::route))
.route("/mode/list", get(mode::list))
.route("/mode/execute", post(mode::execute))
.route("/validate", post(validate::validate))
.route("/iterate", post(iterate::iterate))
.route("/health", get(health))
.with_state(state)
}
// -- Shared types (OpenAI-compatible) --
/// OpenAI-compatible message. `content` accepts either a plain string or
/// an array of content parts (the modern multimodal shape:
/// `[{type:"text", text:"..."}, {type:"image_url", ...}]`). We store as
/// `serde_json::Value` to preserve client shape on forward; downstream
/// providers can take it verbatim. `Message::text()` flattens for
/// places that need a plain string (Ollama prompt assembly, char
/// counts, the assistant's own response synthesis).
#[derive(Serialize, Deserialize, Clone, Debug, Default)]
#[derive(Serialize, Deserialize, Clone, Debug)]
pub struct Message {
pub role: String,
/// `Value::Null` is legal: an assistant turn that only makes tool calls.
#[serde(default)]
pub content: serde_json::Value,
/// OpenAI tool-calling fields (2026-09-19). Passed through verbatim on the OpenRouter lane;
/// omitted from JSON when unset, so plain-text traffic is byte-identical to before. Before
/// this, serde silently DROPPED them — tool-using agents routed through :3100 never saw their
/// tools and fabricated tool output (autobun KB finding infra.lakehouse_gateway.tools).
#[serde(default, skip_serializing_if = "Option::is_none")]
pub tool_calls: Option<serde_json::Value>,
#[serde(default, skip_serializing_if = "Option::is_none")]
pub tool_call_id: Option<String>,
#[serde(default, skip_serializing_if = "Option::is_none")]
pub name: Option<String>,
pub content: String,
}
impl Message {
/// Construct a plain text message — the common shape for callers
/// that don't need multimodal content. Wraps the body in
/// `serde_json::Value::String` so downstream serializers see the
/// canonical OpenAI shape.
pub fn new_text(role: impl Into<String>, body: impl Into<String>) -> Self {
Self {
role: role.into(),
content: serde_json::Value::String(body.into()),
..Default::default()
}
}
/// Flatten content to a plain string. Strings pass through; content-
/// part arrays concatenate the `text` fields with newlines and skip
/// non-text parts (images etc.) — Phase 38/39 callers are text-only,
/// real multimodal forwarding is queued.
pub fn text(&self) -> String {
match &self.content {
serde_json::Value::String(s) => s.clone(),
serde_json::Value::Array(parts) => {
let mut out = String::new();
for p in parts {
if let Some(t) = p.get("text").and_then(|v| v.as_str()) {
if !out.is_empty() { out.push('\n'); }
out.push_str(t);
}
}
out
}
other => other.to_string(),
}
}
}
#[derive(Deserialize, Debug, Clone)]
#[derive(Deserialize, Debug)]
pub struct ChatRequest {
pub model: String,
pub messages: Vec<Message>,
@@ -208,8 +72,9 @@ pub struct ChatRequest {
pub temperature: Option<f64>,
#[serde(default)]
pub max_tokens: Option<u32>,
/// Real SSE passthrough on the openrouter lane (2026-09-20); other lanes reject
/// stream=true with a 400 rather than silently returning a non-streamed body.
/// Accepted for shape-compat but ignored in the thin slice —
/// Phase 38 returns non-streaming even when the client asked for it.
/// Phase 39+ wires real streaming.
#[serde(default)]
pub stream: Option<bool>,
/// Non-OpenAI extension. Passes through to the provider's thinking
@@ -227,21 +92,6 @@ pub struct ChatRequest {
/// from the model name; Phase 38/39 requires explicit selection.
#[serde(default)]
pub provider: Option<String>,
/// OpenAI tool definitions + choice (2026-09-19). Forwarded on the OpenRouter lane only;
/// any other provider REJECTS them with 400 instead of silently stripping them.
#[serde(default)]
pub tools: Option<serde_json::Value>,
#[serde(default)]
pub tool_choice: Option<serde_json::Value>,
}
impl ChatRequest {
/// True if the request uses tool calling anywhere (definitions or tool-call history).
pub fn uses_tools(&self) -> bool {
self.tools.is_some()
|| self.tool_choice.is_some()
|| self.messages.iter().any(|m| m.role == "tool" || m.tool_calls.is_some() || m.tool_call_id.is_some())
}
}
#[derive(Serialize)]
@@ -270,339 +120,38 @@ 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());
}
if let Some(rest) = req.model.strip_prefix("kimi/") {
return ("kimi".to_string(), rest.to_string());
}
if let Some(rest) = req.model.strip_prefix("opencode/") {
return ("opencode".to_string(), rest.to_string());
}
// Bare `vendor/model` shape (e.g. `x-ai/grok-4.1-fast`,
// `moonshotai/kimi-k2`, `openai/gpt-oss-120b:free`) → OpenRouter.
// This makes the gateway a drop-in OpenAI-compatible middleware:
// clients using the official `openai` SDK only set OPENAI_BASE_URL
// + a model name and get correct upstream routing without needing
// our custom `provider` field. Ollama models in J's stack use
// `model:tag` form with NO slash (`qwen3.5:latest`, `kimi-k2:1t`),
// so a slash here unambiguously means "namespaced provider/model".
if req.model.contains('/') {
return ("openrouter".to_string(), req.model.clone());
}
// Vendor-bare model names (no slash, no colon) — `gpt-4o-mini`,
// `claude-3-5-sonnet-20241022`, etc. Tools like pi-ai validate
// models against an OpenAI-style catalog (no namespace prefix),
// so they send the bare name. Map to OpenRouter's namespaced form
// by inferring the vendor from the leading token. Falls through to
// ollama if no pattern matches — preserves existing behavior.
if !req.model.contains(':') && !req.model.contains('/') {
let m = req.model.as_str();
if m.starts_with("gpt-") || m.starts_with("o1-") || m.starts_with("o3-") || m.starts_with("o4-") || m == "o1" || m == "o3" || m == "o4-mini" {
return ("openrouter".to_string(), format!("openai/{}", m));
}
if m.starts_with("claude-") {
return ("openrouter".to_string(), format!("anthropic/{}", m));
}
if m.starts_with("grok-") {
return ("openrouter".to_string(), format!("x-ai/{}", m));
}
}
("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()),
tools: None,
tool_choice: None,
}
}
/// Streaming is a per-lane capability, and the routing decision must be visible in a test:
/// before 2026-09-20 the gateway accepted stream=true on every lane and returned a single
/// JSON body, so a client waiting for SSE frames hung until its own timeout.
#[test]
fn streaming_is_openrouter_only() {
let mut r = mk_req(None, "openrouter/z-ai/glm-5.3-flash");
r.stream = Some(true);
assert_eq!(resolve_provider(&r).0, "openrouter", "openrouter lane streams");
let mut local = mk_req(None, "qwen3.5:latest");
local.stream = Some(true);
assert_eq!(
resolve_provider(&local).0,
"ollama",
"a local model resolves to ollama, where the handler rejects stream=true with a 400 \
instead of silently returning a non-streamed body"
);
}
#[test]
fn uses_tools_detects_definitions_and_history() {
let mut r = mk_req(None, "openrouter/z-ai/glm-5.3-flash");
assert!(!r.uses_tools());
r.tools = Some(serde_json::json!([]));
assert!(r.uses_tools());
let mut r2 = mk_req(None, "qwen3.5:latest");
r2.messages.push(Message { role: "tool".into(), content: "ok".into(), tool_call_id: Some("c1".into()), ..Default::default() });
assert!(r2.uses_tools());
}
#[test]
fn plain_message_serialization_unchanged() {
let m = Message::new_text("user", "hi");
assert_eq!(serde_json::to_string(&m).unwrap(), r#"{"role":"user","content":"hi"}"#);
}
#[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()));
}
#[test]
fn kimi_prefix_infers_and_strips() {
let r = mk_req(None, "kimi/kimi-for-coding");
assert_eq!(resolve_provider(&r), ("kimi".into(), "kimi-for-coding".into()));
}
}
async fn chat(
State(state): State<V1State>,
headers: axum::http::HeaderMap,
Json(req): Json<ChatRequest>,
) -> Result<axum::response::Response, (StatusCode, String)> {
use axum::response::IntoResponse as _;
) -> Result<Json<ChatResponse>, (StatusCode, String)> {
if req.messages.is_empty() {
return Err((StatusCode::BAD_REQUEST, "messages must be non-empty".into()));
}
// 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);
// Tool calling is only wired on the OpenRouter lane. Refuse loudly elsewhere — silently
// dropping tools made agents fabricate tool results (2026-09-19).
if req.uses_tools() && !matches!(provider.as_str(), "openrouter" | "openrouter_free") {
return Err((
StatusCode::BAD_REQUEST,
format!(
"tools/tool_calls are only supported on the openrouter lane via this gateway \
(resolved provider: {provider}); use an OpenRouter model id (e.g. openrouter/<vendor>/<model>)"
),
));
if req.stream.unwrap_or(false) {
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();
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)
};
// STREAMING (2026-09-20). Phase 38 accepted `stream: true` and returned a single JSON body;
// a client waiting for SSE frames hangs and then reports "no response". Forward the upstream
// SSE verbatim on the lane that supports it, and say so plainly on the lanes that do not
// instead of pretending. Streamed calls skip usage metering + Langfuse (see chat_stream).
if req.stream.unwrap_or(false) {
if !matches!(provider.as_str(), "openrouter" | "openrouter_free") {
return Err((
StatusCode::BAD_REQUEST,
format!(
"stream=true is only supported on the openrouter lane via this gateway \
(resolved provider: {provider}); resend with stream=false or use an \
OpenRouter model id"
),
));
}
let key = state.openrouter_key.as_deref().ok_or((
StatusCode::SERVICE_UNAVAILABLE,
"OPENROUTER_API_KEY not configured".to_string(),
))?;
let upstream = openrouter::chat_stream(key, &*req_for_adapter)
let resp = match provider.as_str() {
"ollama" | "local" | "" => ollama::chat(&state.ai_client, &req)
.await
.map_err(|e| (StatusCode::BAD_GATEWAY, format!("openrouter stream: {e}")))?;
tracing::info!(
target: "v1.chat",
provider = %provider,
model = %effective_model,
"streaming passthrough — usage metering and Langfuse are skipped for this call",
);
let body = axum::body::Body::from_stream(upstream.bytes_stream());
return Ok((
[
(axum::http::header::CONTENT_TYPE, "text/event-stream"),
(axum::http::header::CACHE_CONTROL, "no-cache"),
],
body,
)
.into_response());
}
let (resp, used_provider) = match provider.as_str() {
"ollama" | "local" | "" => {
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())
}
.map_err(|e| (StatusCode::BAD_GATEWAY, format!("ollama local: {e}")))?,
"ollama_cloud" | "cloud" => {
let key = state.ollama_cloud_key.as_deref().ok_or((
StatusCode::SERVICE_UNAVAILABLE,
"OLLAMA_CLOUD_KEY not configured".to_string(),
"OLLAMA_CLOUD_KEY not configured — set env or populate /root/llm_team_config.json".to_string(),
))?;
let r = ollama_cloud::chat(key, &*req_for_adapter)
ollama_cloud::chat(key, &req)
.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())
}
"kimi" => {
// Direct Kimi For Coding provider — bypasses Ollama Cloud's
// upstream-broken kimi-k2:1t and OpenRouter's rate-limited
// moonshotai/kimi-k2.6. Uses sk-kimi-* keys from the Kimi
// membership console.
let key = state.kimi_key.as_deref().ok_or((
StatusCode::SERVICE_UNAVAILABLE,
"KIMI_API_KEY not configured".to_string(),
))?;
let r = kimi::chat(key, &*req_for_adapter)
.await
.map_err(|e| (StatusCode::BAD_GATEWAY, format!("kimi: {e}")))?;
(r, "kimi".to_string())
}
"opencode" => {
// OpenCode GO multi-vendor gateway — Claude Opus 4.7,
// GPT-5.5-pro, Gemini 3.1-pro, Kimi K2.6, DeepSeek, GLM,
// Qwen, free-tier. OpenAI-compat at opencode.ai/zen/go/v1.
let key = state.opencode_key.as_deref().ok_or((
StatusCode::SERVICE_UNAVAILABLE,
"OPENCODE_API_KEY not configured".to_string(),
))?;
let r = opencode::chat(key, &*req_for_adapter)
.await
.map_err(|e| (StatusCode::BAD_GATEWAY, format!("opencode: {e}")))?;
(r, "opencode".to_string())
.map_err(|e| (StatusCode::BAD_GATEWAY, format!("ollama cloud: {e}")))?
}
other => {
return Err((
StatusCode::BAD_REQUEST,
format!("unknown provider '{other}' — supported: ollama, ollama_cloud, openrouter, gemini, claude, kimi, opencode"),
format!("unknown provider '{other}' — supported: ollama, ollama_cloud"),
));
}
};
@@ -616,21 +165,10 @@ async fn chat(
// untouched.
if let Some(lf) = &state.langfuse {
let output = resp.choices.first()
.map(|c| c.message.text())
.map(|c| c.message.content.clone())
.unwrap_or_default();
// Cross-runtime trace linkage. When a caller (validatord on
// Go side, /v1/iterate on Rust side) forwards a parent trace
// id via X-Lakehouse-Trace-Id, attach this generation to that
// trace so the iterate session and its inner chat hops show
// up as ONE trace tree in Langfuse. Header name matches the
// Go-side `shared.TraceIDHeader` constant byte-for-byte.
let parent_trace_id = headers
.get(crate::v1::iterate::TRACE_ID_HEADER)
.and_then(|v| v.to_str().ok())
.map(|s| s.to_string())
.filter(|s| !s.is_empty());
lf.emit_chat(langfuse_trace::ChatTrace {
provider: used_provider.clone(),
provider: provider.clone(),
model: resp.model.clone(),
input: req.messages.clone(),
output,
@@ -642,66 +180,18 @@ async fn chat(
start_time: start_time.to_rfc3339(),
end_time: end_time.to_rfc3339(),
latency_ms,
parent_trace_id,
});
}
// Phase 40 part 2 — fire-and-forget /event to observer at :3800.
// Same ring-buffer that scrum + scenario events land in, so any
// tool-routed-through-our-gateway (Pi, Archon, openai SDK clients)
// shows up alongside scrum_master events for KB consolidation +
// pathway-memory + bug-fingerprint compounding. Best-effort:
// observer being down doesn't block the chat response.
{
let provider = used_provider.clone();
let model = resp.model.clone();
let prompt_tokens = resp.usage.prompt_tokens;
let completion_tokens = resp.usage.completion_tokens;
let success = true;
tokio::spawn(async move {
let body = serde_json::json!({
"endpoint": "/v1/chat",
"source": "v1.chat",
"event_kind": "chat_completion",
"input_summary": format!(
"{} {} prompt={}t",
provider, model, prompt_tokens
),
"output_summary": format!(
"completion={}t {}ms",
completion_tokens, latency_ms
),
"success": success,
"duration_ms": latency_ms,
});
let client = reqwest::Client::builder()
.timeout(std::time::Duration::from_secs(2))
.build()
.unwrap_or_else(|_| reqwest::Client::new());
let _ = client
.post("http://localhost:3800/event")
.json(&body)
.send()
.await;
});
}
// Phase 40: per-provider usage tracking
{
let mut u = state.usage.write().await;
u.requests += 1;
u.prompt_tokens += resp.usage.prompt_tokens as u64;
u.completion_tokens += resp.usage.completion_tokens as u64;
u.total_tokens += resp.usage.total_tokens as u64;
let provider_usage = u.by_provider.entry(used_provider).or_default();
provider_usage.requests += 1;
provider_usage.prompt_tokens += resp.usage.prompt_tokens as u64;
provider_usage.completion_tokens += resp.usage.completion_tokens as u64;
provider_usage.total_tokens += resp.usage.total_tokens as u64;
}
Ok(Json(resp).into_response())
Ok(Json(resp))
}
async fn usage(State(state): State<V1State>) -> impl IntoResponse {
@@ -709,43 +199,6 @@ async fn usage(State(state): State<V1State>) -> impl IntoResponse {
Json(snapshot)
}
/// Production operational health endpoint.
///
/// `/v1/health` reports per-subsystem status as a JSON object so an
/// operator (or the lakehouse-auditor service, or a load balancer)
/// can verify the gateway is fully booted, has its provider keys
/// loaded, the worker roster is hot, and Langfuse is reachable.
/// Returns 200 always — fields are observed-state, not pass/fail
/// gates. A monitoring tool should evaluate the booleans + counts
/// against its own thresholds.
async fn health(State(state): State<V1State>) -> impl IntoResponse {
// Honest worker count via WorkerLookup::len. Production switchover
// verification: after swapping workers_500k.parquet → real Chicago
// data and restarting, this number should match the row count of
// the new file. 0 means the file was missing / unreadable / had a
// schema mismatch and the gateway booted with the empty fallback.
let workers_count = state.validate_workers.len();
let providers_configured = serde_json::json!({
"ollama_cloud": state.ollama_cloud_key.is_some(),
"openrouter": state.openrouter_key.is_some(),
"kimi": state.kimi_key.is_some(),
"opencode": state.opencode_key.is_some(),
"gemini": state.gemini_key.is_some(),
"claude": state.claude_key.is_some(),
});
let langfuse_configured = state.langfuse.is_some();
let usage_snapshot = state.usage.read().await.clone();
Json(serde_json::json!({
"status": "ok",
"workers_count": workers_count,
"workers_loaded": workers_count > 0,
"providers_configured": providers_configured,
"langfuse_configured": langfuse_configured,
"usage_total_requests": usage_snapshot.requests,
"usage_by_provider": usage_snapshot.by_provider.keys().collect::<Vec<_>>(),
}))
}
// Phase 38 is stateless — no session persistence yet. Return an empty
// list in OpenAI-ish shape so clients that probe this endpoint don't
// 404. Real session state lands in Phase 41 with the profile-system
@@ -777,7 +230,7 @@ mod tests {
assert_eq!(r.model, "qwen3.5:latest");
assert_eq!(r.messages.len(), 2);
assert_eq!(r.messages[0].role, "system");
assert_eq!(r.messages[1].text(), "Hi");
assert_eq!(r.messages[1].content, "Hi");
assert_eq!(r.temperature, Some(0.2));
assert_eq!(r.max_tokens, Some(100));
}
File diff suppressed because it is too large Load Diff
+17 -15
View File
@@ -60,7 +60,10 @@ pub async fn chat(client: &AiClient, req: &ChatRequest) -> Result<ChatResponse,
model: resp.model,
choices: vec![Choice {
index: 0,
message: Message::new_text("assistant", resp.text),
message: Message {
role: "assistant".into(),
content: resp.text,
},
finish_reason: "stop".into(),
}],
usage: UsageBlock {
@@ -86,14 +89,13 @@ fn flatten_messages(messages: &[Message]) -> (String, String) {
let mut system = String::new();
let mut prompt = String::new();
for m in messages {
let body = m.text();
if m.role == "system" {
if !system.is_empty() { system.push('\n'); }
system.push_str(&body);
system.push_str(&m.content);
} else {
prompt.push_str(&m.role);
prompt.push_str(": ");
prompt.push_str(&body);
prompt.push_str(&m.content);
prompt.push_str("\n\n");
}
}
@@ -102,7 +104,7 @@ fn flatten_messages(messages: &[Message]) -> (String, String) {
}
fn estimate_prompt_tokens(messages: &[Message]) -> u32 {
let chars: usize = messages.iter().map(|m| m.text().chars().count()).sum();
let chars: usize = messages.iter().map(|m| m.content.chars().count()).sum();
((chars + 3) / 4) as u32
}
@@ -113,10 +115,10 @@ mod tests {
#[test]
fn flatten_separates_system_from_turns() {
let msgs = vec![
Message { role: "system".into(), content: "Rules here.".into(), ..Default::default() },
Message { role: "user".into(), content: "Q1".into(), ..Default::default() },
Message { role: "assistant".into(), content: "A1".into(), ..Default::default() },
Message { role: "user".into(), content: "Q2".into(), ..Default::default() },
Message { role: "system".into(), content: "Rules here.".into() },
Message { role: "user".into(), content: "Q1".into() },
Message { role: "assistant".into(), content: "A1".into() },
Message { role: "user".into(), content: "Q2".into() },
];
let (system, prompt) = flatten_messages(&msgs);
assert_eq!(system, "Rules here.");
@@ -129,9 +131,9 @@ mod tests {
#[test]
fn flatten_concatenates_multiple_system_messages() {
let msgs = vec![
Message { role: "system".into(), content: "First.".into(), ..Default::default() },
Message { role: "system".into(), content: "Second.".into(), ..Default::default() },
Message { role: "user".into(), content: "Hi".into(), ..Default::default() },
Message { role: "system".into(), content: "First.".into() },
Message { role: "system".into(), content: "Second.".into() },
Message { role: "user".into(), content: "Hi".into() },
];
let (system, _) = flatten_messages(&msgs);
assert_eq!(system, "First.\nSecond.");
@@ -139,7 +141,7 @@ mod tests {
#[test]
fn flatten_with_no_system_returns_empty_system() {
let msgs = vec![Message { role: "user".into(), content: "hi".into(), ..Default::default() }];
let msgs = vec![Message { role: "user".into(), content: "hi".into() }];
let (system, prompt) = flatten_messages(&msgs);
assert!(system.is_empty());
assert!(prompt.contains("user: hi"));
@@ -147,11 +149,11 @@ mod tests {
#[test]
fn estimate_tokens_chars_div_4_ceiling() {
let msgs = vec![Message { role: "user".into(), content: "abcdefgh".into(), ..Default::default() }];
let msgs = vec![Message { role: "user".into(), content: "abcdefgh".into() }];
// 8 chars / 4 = 2, with ceiling → 2
assert_eq!(estimate_prompt_tokens(&msgs), 2);
let msgs2 = vec![Message { role: "user".into(), content: "abcdefghi".into(), ..Default::default() }];
let msgs2 = vec![Message { role: "user".into(), content: "abcdefghi".into() }];
// 9 chars → (9+3)/4 = 3 (ceiling)
assert_eq!(estimate_prompt_tokens(&msgs2), 3);
}
+2 -2
View File
@@ -88,7 +88,7 @@ pub async fn chat(
let text = parsed.response.unwrap_or_default();
let prompt_tokens = parsed.prompt_eval_count.unwrap_or_else(|| {
let chars: usize = req.messages.iter().map(|m| m.text().chars().count()).sum();
let chars: usize = req.messages.iter().map(|m| m.content.chars().count()).sum();
((chars + 3) / 4) as u32
});
let completion_tokens = parsed.eval_count.unwrap_or_else(|| {
@@ -112,7 +112,7 @@ pub async fn chat(
model: parsed.model.unwrap_or_else(|| req.model.clone()),
choices: vec![Choice {
index: 0,
message: Message::new_text("assistant", text),
message: Message { role: "assistant".into(), content: text },
finish_reason: "stop".into(),
}],
usage: UsageBlock {
-228
View File
@@ -1,228 +0,0 @@
//! OpenCode GO adapter — multi-vendor curated gateway via opencode.ai/zen/go.
//!
//! One sk-* key reaches Claude Opus 4.7, GPT-5.5-pro, Gemini 3.1-pro,
//! Kimi K2.6, DeepSeek, GLM, Qwen, plus 4 free-tier models.
//! OpenAI-compatible Chat Completions; auth via Bearer.
//!
//! Why a separate adapter (vs reusing openrouter.rs):
//! - Different account, different key, different base_url
//! - No HTTP-Referer / X-Title headers (those are OpenRouter-specific)
//! - Future-proof for any opencode-only request shaping
//!
//! Key sourcing priority:
//! 1. Env var `OPENCODE_API_KEY` (loaded from /etc/lakehouse/opencode.env
//! via systemd EnvironmentFile=)
//! 2. /etc/lakehouse/opencode.env directly (rescue path if env missing)
//!
//! Resolved once at gateway startup, stored on `V1State.opencode_key`.
//! Model-prefix routing: "opencode/<model>" auto-routes here, prefix
//! stripped before upstream call.
use std::time::Duration;
use serde::{Deserialize, Serialize};
use super::{ChatRequest, ChatResponse, Choice, Message, UsageBlock};
// /zen/v1 is the unified OpenCode endpoint that covers BOTH the
// Zen pay-per-token tier (Claude/GPT/Gemini frontier) AND the Go
// subscription tier (Kimi/GLM/DeepSeek/Qwen/Minimax/mimo). When the
// caller has both, opencode bills per-model: Zen models charge Zen
// balance, Go models charge against the Go subscription cap.
//
// /zen/go/v1 exists as a Go-only sub-path (rejects Zen models with
// "Model not supported"); we use the unified /zen/v1 since the same
// key works for both with correct billing routing upstream.
const OPENCODE_BASE_URL: &str = "https://opencode.ai/zen/v1";
// 600s default — opencode upstream models include reasoning-heavy
// variants (Claude Opus, Kimi K2.6, GLM-5.1) that legitimately take
// 3-5 min on big audit prompts. Override via OPENCODE_TIMEOUT_SECS.
const OPENCODE_TIMEOUT_SECS_DEFAULT: u64 = 600;
fn opencode_timeout_secs() -> u64 {
std::env::var("OPENCODE_TIMEOUT_SECS")
.ok()
.and_then(|s| s.trim().parse::<u64>().ok())
.filter(|&n| n > 0)
.unwrap_or(OPENCODE_TIMEOUT_SECS_DEFAULT)
}
pub fn resolve_opencode_key() -> Option<String> {
if let Ok(k) = std::env::var("OPENCODE_API_KEY") {
if !k.trim().is_empty() { return Some(k.trim().to_string()); }
}
if let Ok(raw) = std::fs::read_to_string("/etc/lakehouse/opencode.env") {
for line in raw.lines() {
if let Some(rest) = line.strip_prefix("OPENCODE_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 "opencode/" namespace prefix so the upstream sees the
// bare model id (e.g. "claude-opus-4-7", "kimi-k2.6").
let model = req.model.strip_prefix("opencode/").unwrap_or(&req.model).to_string();
// Anthropic models on opencode reject `temperature` with a 400
// "temperature is deprecated for this model" error. Strip the
// field for claude-* and the new gpt-5.x reasoning lineages
// (Anthropic/OpenAI's reasoning models all moved away from temp).
// Other models keep the caller's value or default to 0.3.
let drop_temp = model.starts_with("claude-")
|| model.starts_with("gpt-5")
|| model.starts_with("o1")
|| model.starts_with("o3")
|| model.starts_with("o4");
let body = OCChatBody {
model: model.clone(),
messages: req.messages.iter().map(|m| OCMessage {
role: m.role.clone(),
content: m.content.clone(),
}).collect(),
// filter(|&n| n > 0) catches Some(0) — same trap that bit the
// Kimi adapter when callers passed empty-env-parsed-to-0.
max_tokens: req.max_tokens.filter(|&n| n > 0).unwrap_or(800),
temperature: if drop_temp { None } else { Some(req.temperature.unwrap_or(0.3)) },
stream: false,
};
let client = reqwest::Client::builder()
.timeout(Duration::from_secs(opencode_timeout_secs()))
.build()
.map_err(|e| format!("build client: {e}"))?;
let t0 = std::time::Instant::now();
let resp = client
.post(format!("{}/chat/completions", OPENCODE_BASE_URL))
.bearer_auth(key)
.json(&body)
.send()
.await
.map_err(|e| format!("opencode.ai unreachable: {e}"))?;
let status = resp.status();
if !status.is_success() {
let body = resp.text().await.unwrap_or_else(|_| "?".into());
return Err(format!("opencode.ai {}: {}", status, body));
}
let parsed: OCChatResponse = resp.json().await
.map_err(|e| format!("invalid opencode response: {e}"))?;
let latency_ms = t0.elapsed().as_millis();
let choice = parsed.choices.into_iter().next()
.ok_or_else(|| "opencode 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.text().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 = "opencode",
model = %model,
prompt_tokens,
completion_tokens,
latency_ms = latency_ms as u64,
"opencode 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: serde_json::Value::String(text), ..Default::default() },
finish_reason: choice.finish_reason.unwrap_or_else(|| "stop".into()),
}],
usage: UsageBlock {
prompt_tokens,
completion_tokens,
total_tokens: prompt_tokens + completion_tokens,
},
})
}
// -- OpenCode wire shapes (OpenAI-compatible) --
#[derive(Serialize)]
struct OCChatBody {
model: String,
messages: Vec<OCMessage>,
max_tokens: u32,
#[serde(skip_serializing_if = "Option::is_none")]
temperature: Option<f64>,
stream: bool,
}
#[derive(Serialize)]
struct OCMessage { role: String, content: serde_json::Value }
#[derive(Deserialize)]
struct OCChatResponse {
choices: Vec<OCChoice>,
#[serde(default)]
usage: Option<OCUsage>,
}
#[derive(Deserialize)]
struct OCChoice {
message: OCMessageResp,
#[serde(default)]
finish_reason: Option<String>,
}
#[derive(Deserialize)]
struct OCMessageResp { content: String }
#[derive(Deserialize)]
struct OCUsage { prompt_tokens: u32, completion_tokens: u32 }
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn resolve_opencode_key_does_not_panic() {
let _ = resolve_opencode_key();
}
#[test]
fn model_prefix_strip() {
let cases = [
("opencode/claude-opus-4-7", "claude-opus-4-7"),
("opencode/kimi-k2.6", "kimi-k2.6"),
("claude-opus-4-7", "claude-opus-4-7"),
];
for (input, expected) in cases {
let out = input.strip_prefix("opencode/").unwrap_or(input);
assert_eq!(out, expected);
}
}
#[test]
fn max_tokens_filters_zero() {
// The trap: empty env -> Number("") -> 0 -> Some(0). Adapter
// must not pass 0 upstream; should fall to 800.
let some_zero: Option<u32> = Some(0);
let result = some_zero.filter(|&n| n > 0).unwrap_or(800);
assert_eq!(result, 800);
let some_real: Option<u32> = Some(4096);
assert_eq!(some_real.filter(|&n| n > 0).unwrap_or(800), 4096);
let none_val: Option<u32> = None;
assert_eq!(none_val.filter(|&n| n > 0).unwrap_or(800), 800);
}
}
-436
View File
@@ -1,436 +0,0 @@
//! 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";
// Default request ceiling. 180s starves long-context calls (kimi_architect's
// ~180K-char second pass died at exactly this wall on 2026-09-02, surfacing
// as a misleading "error decoding response body") — override per host with
// OR_TIMEOUT_SECS. The auditor budgets up to 900s client-side.
const OR_TIMEOUT_SECS_DEFAULT: u64 = 180;
fn or_timeout_secs() -> u64 {
std::env::var("OR_TIMEOUT_SECS")
.ok()
.and_then(|v| v.trim().parse::<u64>().ok())
.filter(|&s| s > 0)
.unwrap_or(OR_TIMEOUT_SECS_DEFAULT)
}
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
}
/// Streaming passthrough (2026-09-20). The gateway used to accept `stream: true` and return a
/// single non-streamed JSON body — a client waiting for SSE frames hangs until its own timeout
/// and reports "no response" (this is what broke openclaw's gateway lane). We now forward the
/// upstream SSE byte-for-byte.
///
/// The caller streams the body straight to its client, so nothing here parses the chunks:
/// usage metering and Langfuse tracing are SKIPPED for streamed calls, and the handler logs
/// that. Metering streamed responses needs the final usage chunk and belongs in its own change.
pub async fn chat_stream(key: &str, req: &ChatRequest) -> Result<reqwest::Response, String> {
let model = req.model.strip_prefix("openrouter/").unwrap_or(&req.model).to_string();
let body = ORChatBody {
model,
messages: req.messages.iter().map(|m| ORMessage {
role: m.role.clone(),
content: m.content.clone(),
tool_calls: m.tool_calls.clone(),
tool_call_id: m.tool_call_id.clone(),
name: m.name.clone(),
}).collect(),
tools: req.tools.clone(),
tool_choice: req.tool_choice.clone(),
max_tokens: Some(req.max_tokens.unwrap_or(800)),
temperature: req.temperature.unwrap_or(0.3),
stream: true,
};
let client = reqwest::Client::builder()
.timeout(Duration::from_secs(or_timeout_secs()))
.build()
.map_err(|e| format!("build client: {e}"))?;
let resp = client
.post(format!("{}/chat/completions", OR_BASE_URL))
.bearer_auth(key)
.header("HTTP-Referer", "https://vcp.devop.live")
.header("X-Title", "Lakehouse Scrum")
.json(&serde_json::to_value(&body).map_err(|e| format!("serialize body: {e}"))?)
.send()
.await
.map_err(|e| format!("openrouter.ai unreachable: {e}"))?;
if !resp.status().is_success() {
let code = resp.status();
let text = resp.text().await.unwrap_or_else(|_| "?".into());
return Err(format!("openrouter {code}: {}", text.chars().take(300).collect::<String>()));
}
Ok(resp)
}
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 mut body = ORChatBody {
model: model.clone(),
// Pass content through verbatim — preserves OpenAI's multimodal
// content-parts shape (`[{type:"text",text:"..."}, ...]`) so the
// upstream provider sees exactly what the client sent.
messages: req.messages.iter().map(|m| ORMessage {
role: m.role.clone(),
content: m.content.clone(),
tool_calls: m.tool_calls.clone(),
tool_call_id: m.tool_call_id.clone(),
name: m.name.clone(),
}).collect(),
tools: req.tools.clone(),
tool_choice: req.tool_choice.clone(),
max_tokens: Some(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 send = |client: reqwest::Client, key: String, body_json: serde_json::Value| async move {
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_json)
.send()
.await
.map_err(|e| format!("openrouter.ai unreachable: {e}"))
};
let mut resp = send(
client.clone(),
key.to_string(),
serde_json::to_value(&body).map_err(|e| format!("serialize body: {e}"))?,
)
.await?;
// OpenRouter's affordability precheck reserves max_tokens × price against
// the account balance. Measured 2026-08-28: stripping the cap makes it
// WORSE (the precheck then prices the model's own maximum, e.g. 65536) —
// so a low-balance 402 surfaces verbatim and the fix is funding the
// account the key belongs to, not request-shape games. One clamp retry:
// when the error names an affordable budget ≥256 tokens, retry once at
// that budget so small answers still get through on a thin balance.
if resp.status() == reqwest::StatusCode::PAYMENT_REQUIRED && body.max_tokens.is_some() {
let err_body = resp.text().await.unwrap_or_else(|_| "?".into());
let afford = err_body
.split("can only afford ")
.nth(1)
.and_then(|s| s.split(|c: char| !c.is_ascii_digit()).next())
.and_then(|n| n.parse::<u32>().ok());
match afford {
Some(n) if n >= 256 => {
tracing::warn!(
target: "v1.chat",
provider = "openrouter",
model = %model,
afford = n,
"402 affordability precheck — clamping max_tokens to the stated budget",
);
body.max_tokens = Some(n);
resp = send(
client.clone(),
key.to_string(),
serde_json::to_value(&body).map_err(|e| format!("serialize body: {e}"))?,
)
.await?;
}
_ => return Err(format!("openrouter.ai 402 Payment Required: {}", err_body)),
}
}
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 tool_calls = choice.message.tool_calls.clone();
let reasoning_only = choice.message.content.is_none()
&& choice.message.reasoning.is_some()
&& tool_calls.is_none();
let text = choice.message.content.unwrap_or_default();
if reasoning_only {
// The model spent its whole budget thinking. Return well-formed empty
// content (callers' schema validation + retry budgets handle it
// deterministically) rather than a decode error that reads as a
// gateway fault — and never pass thinking-text off as an answer.
tracing::warn!(
target: "v1.chat",
provider = "openrouter",
model = %model,
finish = %choice.finish_reason.as_deref().unwrap_or("?"),
"reasoning-only response (content null) — raise max_tokens or use a non-reasoning model",
);
}
let prompt_tokens = parsed.usage.as_ref().map(|u| u.prompt_tokens).unwrap_or_else(|| {
let chars: usize = req.messages.iter().map(|m| m.text().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(),
// OpenAI shape: a tool-call-only turn carries `content: null`.
content: if tool_calls.is_some() && text.is_empty() {
serde_json::Value::Null
} else {
serde_json::Value::String(text)
},
tool_calls,
..Default::default()
},
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>,
#[serde(skip_serializing_if = "Option::is_none")]
max_tokens: Option<u32>,
temperature: f64,
stream: bool,
#[serde(skip_serializing_if = "Option::is_none")]
tools: Option<serde_json::Value>,
#[serde(skip_serializing_if = "Option::is_none")]
tool_choice: Option<serde_json::Value>,
}
#[derive(Serialize)]
struct ORMessage {
role: String,
content: serde_json::Value,
#[serde(skip_serializing_if = "Option::is_none")]
tool_calls: Option<serde_json::Value>,
#[serde(skip_serializing_if = "Option::is_none")]
tool_call_id: Option<String>,
#[serde(skip_serializing_if = "Option::is_none")]
name: Option<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 {
// Reasoning models (GLM-5.x, deepseek-v4-pro) return `content: null` plus a
// `reasoning` field when they exhaust max_tokens mid-thought. A bare String
// here made serde reject the whole body ("invalid openrouter response",
// 2026-08-28) — which took down every reasoning model on the lane,
// including phase2's configured glm-5.2. Content stays the only text we
// ever return; reasoning is observability, never an answer.
#[serde(default)]
content: Option<String>,
#[serde(default)]
reasoning: Option<String>,
/// OpenAI tool calls requested by the model (passed back to the client verbatim).
#[serde(default)]
tool_calls: Option<serde_json::Value>,
}
#[derive(Deserialize)]
struct ORUsage { prompt_tokens: u32, completion_tokens: u32 }
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn reasoning_model_null_content_parses() {
// GLM-5.x / deepseek-v4-pro shape: content null + reasoning present
// (the 2026-08-28 decode failure). Must parse, not error.
let body = r#"{"choices":[{"message":{"role":"assistant","content":null,"reasoning":"thinking…"},"finish_reason":"length"}],"usage":{"prompt_tokens":5,"completion_tokens":10}}"#;
let parsed: ORChatResponse = serde_json::from_str(body).expect("null content must parse");
let choice = &parsed.choices[0];
assert!(choice.message.content.is_none());
assert_eq!(choice.message.reasoning.as_deref(), Some("thinking…"));
// And the normal shape still parses with reasoning absent.
let normal = r#"{"choices":[{"message":{"role":"assistant","content":"OK"},"finish_reason":"stop"}]}"#;
let parsed: ORChatResponse = serde_json::from_str(normal).expect("normal shape");
assert_eq!(parsed.choices[0].message.content.as_deref(), Some("OK"));
}
#[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(),
tool_calls: None, tool_call_id: None, name: None },
],
max_tokens: Some(800),
temperature: 0.3,
stream: false,
tools: None,
tool_choice: None,
};
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"));
// no tool fields on plain traffic (byte-compat with pre-2026-09-19 bodies)
assert!(!json.contains("tools") && !json.contains("tool_call"));
}
#[test]
fn chat_body_forwards_tools_and_tool_messages() {
let tools = serde_json::json!([{"type":"function","function":{"name":"exec","parameters":{"type":"object"}}}]);
let body = ORChatBody {
model: "z-ai/glm-5.3-flash".into(),
messages: vec![
ORMessage { role: "assistant".into(), content: serde_json::Value::Null,
tool_calls: Some(serde_json::json!([{"id":"c1","type":"function","function":{"name":"exec","arguments":"{}"}}])),
tool_call_id: None, name: None },
ORMessage { role: "tool".into(), content: "ok".into(), tool_calls: None,
tool_call_id: Some("c1".into()), name: Some("exec".into()) },
],
max_tokens: Some(100),
temperature: 0.0,
stream: false,
tools: Some(tools),
tool_choice: Some(serde_json::json!("auto")),
};
let json = serde_json::to_string(&body).unwrap();
assert!(json.contains("\"tools\":[{"));
assert!(json.contains("\"tool_choice\":\"auto\""));
assert!(json.contains("\"tool_call_id\":\"c1\""));
assert!(json.contains("\"tool_calls\":[{"));
}
#[test]
fn response_with_tool_calls_parses() {
let raw = r#"{"choices":[{"message":{"content":null,"tool_calls":[{"id":"c1","type":"function","function":{"name":"exec","arguments":"{}"}}]},"finish_reason":"tool_calls"}]}"#;
let parsed: ORChatResponse = serde_json::from_str(raw).unwrap();
let c = &parsed.choices[0];
assert!(c.message.content.is_none());
assert!(c.message.tool_calls.is_some());
assert_eq!(c.finish_reason.as_deref(), Some("tool_calls"));
}
#[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}");
}
}
}
-150
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@@ -1,150 +0,0 @@
//! `/v1/respond` — the **execution** API (distinct from `/v1/chat`, the
//! completion API).
//!
//! This is the consolidation move called out in the 2026-04-23 session:
//! lift the proven pipeline from `tests/multi-agent/orchestrator.ts`
//! (executor → reviewer → escalate → validate → seal playbook →
//! write-through to KB) into the gateway, so the production path has
//! the intelligence the tests already proved.
//!
//! `/v1/chat` stays a naive completion proxy for callers that want one.
//! `/v1/respond` is where the loop lives. Every orchestrator-style
//! caller migrates here and the TS harnesses become thin clients.
//!
//! This file holds the HTTP surface + request/response shapes. The loop
//! itself lives in `execution_loop::ExecutionLoop`.
use axum::{extract::State, http::StatusCode, Json};
use serde::{Deserialize, Serialize};
use super::V1State;
use crate::execution_loop::{ExecutionLoop, LogEntry, RespondOutcome};
/// A structured task — mirrors `TaskSpec` in `tests/multi-agent/agent.ts`.
/// Kept deliberately open so non-staffing task classes (code-gen,
/// DevOps-long-horizon) can land without a schema fight.
#[derive(Deserialize, Debug, Clone)]
pub struct RespondRequest {
/// Task class — routes to the right truth rules + validator. For the
/// staffing substrate: `staffing.fill`, `staffing.rescue`,
/// `staffing.sms_draft`. Truth-layer lookup is a no-op until a rule
/// set is registered for the class.
pub task_class: String,
/// Human-readable operation description — becomes the playbook
/// `operation` field on seal, and the primary signal for
/// playbook_memory embedding.
pub operation: String,
/// Free-form structured context. Passed to the executor prompt and
/// to the playbook seeder. Staffing tasks expect
/// `{target_role, target_count, target_city, target_state, approach_hint}`
/// but nothing here validates that — the validator crate will (Phase 43).
#[serde(default)]
pub spec: serde_json::Value,
/// Executor model. Defaults to the hot-path local model if omitted.
/// See orchestrator.ts:28 (`EXECUTOR_MODEL = "qwen3.5:latest"`).
#[serde(default)]
pub executor_model: Option<String>,
/// Reviewer model. Defaults to the hot-path local reviewer.
/// See orchestrator.ts:29 (`REVIEWER_MODEL = "qwen3:latest"`).
#[serde(default)]
pub reviewer_model: Option<String>,
/// Hard cap on executor turns. Default matches orchestrator.ts:30
/// (`MAX_TURNS = 12`). Cloud escalation counts as a turn.
#[serde(default)]
pub max_turns: Option<u32>,
}
#[derive(Serialize)]
pub struct RespondResponse {
/// `ok` = consensus reached, playbook sealed. `failed` = loop ran
/// out of turns or hit the drift cap. `blocked` = truth-layer
/// veto (Phase 42 rule citation in `error`).
pub status: &'static str,
/// The final artifact — for staffing fills, `{fills: [{candidate_id, name}]}`.
/// Empty on failure / block.
pub artifact: serde_json::Value,
/// Structured cross-turn log. Same shape as orchestrator.ts LogEntry
/// so existing tooling (kb extractors, fact_extractor.ts) reads it
/// without change.
pub log: Vec<LogEntry>,
/// Iteration count actually used. ≤ max_turns. Stamped on
/// outcomes.jsonl per the indicator audit (2026-04-23).
pub iterations: u32,
/// Error message on non-ok status. Truth-rule citations land here
/// when `status == "blocked"`.
#[serde(default, skip_serializing_if = "Option::is_none")]
pub error: Option<String>,
}
pub async fn respond(
State(state): State<V1State>,
Json(req): Json<RespondRequest>,
) -> Result<Json<RespondResponse>, (StatusCode, String)> {
if req.operation.is_empty() {
return Err((StatusCode::BAD_REQUEST, "operation must be non-empty".into()));
}
if req.task_class.is_empty() {
return Err((StatusCode::BAD_REQUEST, "task_class must be non-empty".into()));
}
let mut loop_runner = ExecutionLoop::new(state, req);
let outcome = loop_runner.run().await.map_err(|e| {
(StatusCode::INTERNAL_SERVER_ERROR, format!("execution loop: {e}"))
})?;
let (status, error) = match &outcome {
RespondOutcome::Ok { .. } => ("ok", None),
RespondOutcome::Failed { reason, .. } => ("failed", Some(reason.clone())),
RespondOutcome::Blocked { reason, .. } => ("blocked", Some(reason.clone())),
};
Ok(Json(RespondResponse {
status,
artifact: outcome.artifact(),
log: outcome.into_log(),
iterations: loop_runner.turns_used(),
error,
}))
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn respond_request_parses_minimal() {
let raw = r#"{
"task_class": "staffing.fill",
"operation": "fill: Welder x2 in Toledo, OH"
}"#;
let r: RespondRequest = serde_json::from_str(raw).unwrap();
assert_eq!(r.task_class, "staffing.fill");
assert_eq!(r.executor_model, None);
assert_eq!(r.max_turns, None);
}
#[test]
fn respond_request_parses_full() {
let raw = r#"{
"task_class": "staffing.fill",
"operation": "fill: Welder x2 in Toledo, OH",
"spec": {"target_role": "Welder", "target_count": 2, "target_city": "Toledo", "target_state": "OH"},
"executor_model": "qwen3.5:latest",
"reviewer_model": "qwen3:latest",
"max_turns": 12
}"#;
let r: RespondRequest = serde_json::from_str(raw).unwrap();
assert_eq!(r.executor_model.as_deref(), Some("qwen3.5:latest"));
assert_eq!(r.max_turns, Some(12));
assert_eq!(r.spec["target_count"], 2);
}
}
-235
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@@ -1,235 +0,0 @@
//! Coordinator session JSONL writer — Rust parity with the Go-side
//! `internal/validator/session_log.go` (commit 1a3a82a in
//! golangLAKEHOUSE). Same schema, same field names, same producer
//! semantics, so a unified longitudinal log can pull from either
//! runtime via DuckDB.
//!
//! Schema: `session.iterate.v1`. One row per `/v1/iterate` session.
//! Append-only. Best-effort posture: errors warn and the iterate
//! response always ships.
//!
//! See `golangLAKEHOUSE/docs/SESSION_LOG.md` for the full schema
//! reference + DuckDB query examples. This module produces rows
//! with `daemon: "gateway"`; the Go side produces `daemon:
//! "validatord"`. Operators who want a unified stream can point both
//! to the same path (the OS write-append is atomic for the row sizes
//! we produce) or query both files together via duckdb's `read_json`
//! glob support.
use serde::{Deserialize, Serialize};
use std::sync::Arc;
use tokio::sync::Mutex;
pub const SESSION_RECORD_SCHEMA: &str = "session.iterate.v1";
/// One row in coordinator_sessions.jsonl. Field names are the on-wire
/// names — must stay byte-equal to the Go side's
/// `validator.SessionRecord` (proven by the cross-runtime parity
/// probe at golangLAKEHOUSE/scripts/cutover/parity/).
// Deserialize is supported so the parity helper binary can round-trip
// fixture inputs through serde without hand-rolling a parser. Production
// emit path uses Serialize only; SessionRecord rows are written by the
// gateway and consumed by DuckDB / external tooling, never re-read by us.
#[derive(Serialize, Deserialize)]
pub struct SessionRecord {
pub schema: String,
pub session_id: String,
pub timestamp: String,
pub daemon: String,
pub kind: String,
pub model: String,
pub provider: String,
pub prompt: String,
pub iterations: u32,
pub max_iterations: u32,
pub final_verdict: String, // "accepted" | "max_iter_exhausted" | "infra_error"
pub attempts: Vec<SessionAttemptRecord>,
#[serde(skip_serializing_if = "Option::is_none")]
pub artifact: Option<serde_json::Value>,
#[serde(skip_serializing_if = "Option::is_none")]
pub grounded_in_roster: Option<bool>,
pub duration_ms: u64,
}
#[derive(Serialize, Deserialize)]
pub struct SessionAttemptRecord {
pub iteration: u32,
pub verdict_kind: String, // "no_json" | "validation_failed" | "accepted" | "infra_error"
#[serde(skip_serializing_if = "Option::is_none")]
pub error: Option<String>,
#[serde(skip_serializing_if = "Option::is_none")]
pub span_id: Option<String>,
}
/// Append-only writer. Cloneable handle — internal state is Arc'd so
/// V1State can keep its own clone and per-request clones are cheap.
#[derive(Clone)]
pub struct SessionLogger {
inner: Arc<Inner>,
}
struct Inner {
path: String,
/// tokio::Mutex (not std) because we hold it across the async
/// fs write. Contention is low (one row per /v1/iterate session).
mu: Mutex<()>,
}
impl SessionLogger {
/// Construct a logger writing to `path`. Empty path → None
/// (skip the wiring in the iterate handler entirely).
pub fn from_path(path: &str) -> Option<Self> {
if path.is_empty() {
return None;
}
Some(Self {
inner: Arc::new(Inner {
path: path.to_string(),
mu: Mutex::new(()),
}),
})
}
/// Append one record. Best-effort: failures land in `tracing::warn!`
/// and the caller sees Ok(()) — observability is a witness, never
/// a gate. Returns Err only on impossible cases the type system
/// can't rule out (here: serde_json::to_string failing on a
/// well-formed struct, which shouldn't happen).
pub async fn append(&self, rec: SessionRecord) {
let body = match serde_json::to_string(&rec) {
Ok(s) => s,
Err(e) => {
tracing::warn!(target: "v1.session_log", "marshal: {e}");
return;
}
};
let _guard = self.inner.mu.lock().await;
if let Err(e) = self.write(&body).await {
tracing::warn!(target: "v1.session_log", "write {}: {e}", self.inner.path);
}
}
async fn write(&self, body: &str) -> std::io::Result<()> {
use tokio::fs::OpenOptions;
use tokio::io::AsyncWriteExt;
// Lazy mkdir on first write so a not-yet-mounted volume at
// startup doesn't kill the daemon.
if let Some(parent) = std::path::Path::new(&self.inner.path).parent() {
if !parent.as_os_str().is_empty() {
tokio::fs::create_dir_all(parent).await?;
}
}
let mut f = OpenOptions::new()
.append(true)
.create(true)
.open(&self.inner.path)
.await?;
f.write_all(body.as_bytes()).await?;
f.write_all(b"\n").await?;
Ok(())
}
}
/// Best-effort UTF-8 char truncation. Matches Go's `trim` helper so
/// rows produced by either runtime cap fields at the same boundaries.
pub fn truncate(s: &str, n: usize) -> String {
s.chars().take(n).collect()
}
#[cfg(test)]
mod tests {
use super::*;
use std::path::PathBuf;
use tokio::fs;
fn fixture_record(session_id: &str) -> SessionRecord {
SessionRecord {
schema: SESSION_RECORD_SCHEMA.to_string(),
session_id: session_id.to_string(),
timestamp: "2026-05-02T08:00:00Z".to_string(),
daemon: "gateway".to_string(),
kind: "fill".to_string(),
model: "qwen3.5:latest".to_string(),
provider: "ollama".to_string(),
prompt: "produce a fill artifact".to_string(),
iterations: 1,
max_iterations: 3,
final_verdict: "accepted".to_string(),
attempts: vec![SessionAttemptRecord {
iteration: 0,
verdict_kind: "accepted".to_string(),
error: None,
span_id: Some("span-0".to_string()),
}],
artifact: Some(serde_json::json!({"fills":[{"candidate_id":"W-1"}]})),
grounded_in_roster: Some(true),
duration_ms: 50,
}
}
#[tokio::test]
async fn from_path_empty_returns_none() {
assert!(SessionLogger::from_path("").is_none());
}
#[tokio::test]
async fn append_writes_jsonl_row_with_schema_field() {
let dir = tempdir();
let path = dir.join("sessions.jsonl");
let path_str = path.to_string_lossy().to_string();
let logger = SessionLogger::from_path(&path_str).unwrap();
logger.append(fixture_record("trace-a")).await;
let body = fs::read_to_string(&path).await.unwrap();
assert!(body.contains("\"schema\":\"session.iterate.v1\""));
assert!(body.contains("\"session_id\":\"trace-a\""));
assert!(body.contains("\"grounded_in_roster\":true"));
assert!(body.ends_with('\n'));
}
#[tokio::test]
async fn append_concurrent_safe() {
let dir = tempdir();
let path = dir.join("sessions.jsonl");
let path_str = path.to_string_lossy().to_string();
let logger = SessionLogger::from_path(&path_str).unwrap();
let n = 32;
let mut handles = Vec::with_capacity(n);
for i in 0..n {
let l = logger.clone();
handles.push(tokio::spawn(async move {
l.append(fixture_record(&format!("trace-{i}"))).await;
}));
}
for h in handles {
h.await.unwrap();
}
let body = fs::read_to_string(&path).await.unwrap();
let lines: Vec<_> = body.lines().filter(|l| !l.is_empty()).collect();
assert_eq!(lines.len(), n, "expected {n} rows, got {}", lines.len());
// Every row must round-trip through serde — a torn write
// would surface as a parse error.
for line in lines {
let _: serde_json::Value = serde_json::from_str(line).expect("valid json per row");
}
}
fn tempdir() -> PathBuf {
// Per-test unique path so prior runs don't pollute the next.
// The static counter increments across the whole test binary,
// so back-to-back tests in the same module get distinct dirs.
static COUNTER: std::sync::atomic::AtomicU64 = std::sync::atomic::AtomicU64::new(0);
let n = COUNTER.fetch_add(1, std::sync::atomic::Ordering::Relaxed);
let p = std::env::temp_dir().join(format!(
"session_log_test_{}_{}_{}",
std::process::id(),
chrono::Utc::now().timestamp_nanos_opt().unwrap_or(0),
n,
));
std::fs::create_dir_all(&p).unwrap();
p
}
}
-47
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@@ -1,47 +0,0 @@
use serde::Serialize;
use truth::default_truth_store;
// 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 {
pub task_classes: Vec<String>,
pub rules: Vec<RuleInfo>,
}
#[derive(Serialize)]
pub struct RuleInfo {
pub id: String,
pub task_class: String,
pub description: String,
}
pub async fn context() -> axum::Json<ContextResponse> {
let store = default_truth_store();
let task_classes: Vec<String> = vec![
"staffing.fill".to_string(),
"staffing.rescue".to_string(),
"staffing.sms_draft".to_string(),
"staffing.any".to_string(),
];
let mut rules = Vec::new();
for tc in &task_classes {
for rule in store.get_rules(tc) {
rules.push(RuleInfo {
id: rule.id.clone(),
task_class: rule.task_class.clone(),
description: rule.description.clone(),
});
}
}
axum::Json(ContextResponse {
task_classes,
rules,
})
}
-82
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@@ -1,82 +0,0 @@
//! /v1/validate — gateway-side artifact validation endpoint.
//!
//! Phase 43 v3 part 2: makes the validator crate network-callable.
//! Any caller (scrum loop, test harness, future agent) can POST a
//! generated artifact and get back a Report (success) or
//! ValidationError (failure with structured field/reason).
//!
//! Request shape:
//! POST /v1/validate
//! {
//! "kind": "fill" | "email" | "playbook",
//! "artifact": { ... },
//! "context": { ... } // optional — folded into artifact._context
//! }
//!
//! Response on success: 200 + Report JSON
//! Response on failure: 422 + ValidationError JSON
//! Response on bad request: 400 + plain-text error
//!
//! The shared WorkerLookup is loaded once at gateway startup from
//! workers_500k.parquet (path configurable via LH_WORKERS_PARQUET
//! env, defaults to data/datasets/workers_500k.parquet). Falls back
//! to an empty InMemoryWorkerLookup if the file is missing — the
//! validators will still run schema/length/PII checks but worker-
//! existence checks will all fail (Consistency error), which is the
//! correct behavior when the roster isn't configured.
use axum::{extract::State, http::StatusCode, response::IntoResponse, Json};
use serde::Deserialize;
use validator::{
Artifact, Validator, ValidationError,
staffing::{
fill::FillValidator,
email::EmailValidator,
playbook::PlaybookValidator,
},
};
#[derive(Deserialize)]
pub struct ValidateRequest {
/// `"fill" | "email" | "playbook"` — picks which validator runs.
pub kind: String,
/// The artifact JSON (free-form; shape depends on `kind`).
pub artifact: serde_json::Value,
/// Optional context bag — merged into `artifact._context` so the
/// validator can read fields like `target_count`, `city`,
/// `client_id`, `candidate_id` without callers having to embed
/// `_context` in the artifact themselves.
#[serde(default)]
pub context: Option<serde_json::Value>,
}
pub async fn validate(
State(state): State<super::V1State>,
Json(req): Json<ValidateRequest>,
) -> impl IntoResponse {
// Merge context into artifact under `_context` so validators can
// pull contract metadata uniformly.
let mut artifact_value = req.artifact;
if let Some(ctx) = req.context {
if let Some(obj) = artifact_value.as_object_mut() {
obj.insert("_context".to_string(), ctx);
}
}
// Dispatch.
let workers = state.validate_workers.clone();
let result: Result<validator::Report, ValidationError> = match req.kind.as_str() {
"fill" => FillValidator::new(workers).validate(&Artifact::FillProposal(artifact_value)),
"email" => EmailValidator::new(workers).validate(&Artifact::EmailDraft(artifact_value)),
"playbook" => PlaybookValidator.validate(&Artifact::Playbook(artifact_value)),
other => return (
StatusCode::BAD_REQUEST,
format!("unknown kind '{other}' — expected fill | email | playbook"),
).into_response(),
};
match result {
Ok(report) => (StatusCode::OK, Json(report)).into_response(),
Err(e) => (StatusCode::UNPROCESSABLE_ENTITY, Json(e)).into_response(),
}
}
-1
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@@ -8,7 +8,6 @@ shared = { path = "../shared" }
storaged = { path = "../storaged" }
catalogd = { path = "../catalogd" }
vectord = { path = "../vectord" }
journald = { path = "../journald" }
tokio = { workspace = true }
axum = { workspace = true, features = ["multipart"] }
lopdf = { workspace = true }
+3 -3
View File
@@ -2,9 +2,10 @@
/// 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.
use arrow::datatypes::{DataType, SchemaRef};
use arrow::datatypes::{DataType, Schema, SchemaRef};
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
use std::sync::Arc;
/// A detected change between two schema versions.
#[derive(Debug, Clone, Serialize, Deserialize)]
@@ -222,8 +223,7 @@ fn find_similar_column<'a>(
#[cfg(test)]
mod tests {
use super::*;
use arrow::datatypes::{Field, Schema};
use std::sync::Arc;
use arrow::datatypes::Field;
fn schema(fields: Vec<(&str, DataType)>) -> SchemaRef {
Arc::new(Schema::new(
+1 -127
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@@ -3,7 +3,7 @@ use axum::{
extract::{Multipart, Path, Query, State},
http::{HeaderMap, StatusCode},
response::IntoResponse,
routing::{get, post},
routing::{delete, get, patch, post},
};
use bytes::Bytes;
use object_store::ObjectStore;
@@ -33,11 +33,6 @@ pub struct IngestState {
/// Scheduled-ingest registry. The scheduler task runs against this
/// store; HTTP CRUD endpoints write through it.
pub schedules: schedule::ScheduleStore,
/// Event journal for ADR-012 mutation history. Optional for back-compat
/// with callers (like scheduled ingest tests) that don't wire it yet.
/// When present, successful ingests emit a record_ingest event — closes
/// P9-001 on the file-upload path. (2026-04-23)
pub journal: Option<journald::journal::Journal>,
}
/// Push `DatasetAppended` triggers for every HNSW index bound to this
@@ -141,22 +136,6 @@ async fn ingest_file(
Ok(result) => {
if !result.deduplicated {
notify_agent_on_append(&state, &result.dataset_name).await;
// P9-001 fix (2026-04-23): emit a mutation event on every
// non-deduplicated ingest. Dedup no-ops don't need events
// (ADR-020 register() is already idempotent on same fingerprint).
if let Some(ref journal) = state.journal {
if let Err(e) = journal.record_ingest(
&result.dataset_name,
result.rows as usize,
"ingest_api",
&filename,
).await {
tracing::warn!(
"journal record_ingest failed for '{}': {}",
result.dataset_name, e,
);
}
}
}
if result.deduplicated {
Ok((StatusCode::OK, Json(result)))
@@ -651,108 +630,3 @@ async fn run_schedule_now(
}
Ok(Json(outcome))
}
// ─── Tests ───
#[cfg(test)]
mod journal_integration_tests {
//! P9-001 integration test: prove that a successful ingest produces a
//! journal.record_ingest event. Block 2 on PR #10 was "journal event
//! verified live" being unbacked by the diff. This test makes the
//! verification committed and reproducible.
use journald::journal::{Event, Journal};
use object_store::memory::InMemory;
use std::sync::Arc;
// Helper: build a bare Journal against an in-memory object store.
// Flush threshold 1 so every recorded event is persisted immediately.
fn test_journal() -> Journal {
let store: Arc<dyn object_store::ObjectStore> = Arc::new(InMemory::new());
Journal::new(store, 1)
}
#[tokio::test]
async fn journal_record_ingest_increments_counter() {
// Arrange — fresh journal, counter starts at zero.
let journal = test_journal();
let stats0 = journal.stats().await;
assert_eq!(stats0.total_events_created, 0);
assert_eq!(stats0.buffer_events, 0);
// Act — simulate what the /ingest/file success path does.
journal
.record_ingest("test_dataset", 42, "ingest_api", "probe.csv")
.await
.expect("record_ingest should succeed");
// Assert — counter advanced, event exists. With threshold=1 the
// event flushed to store; with threshold>N it would be in-buffer.
let stats1 = journal.stats().await;
assert_eq!(stats1.total_events_created, 1, "counter should reflect one recorded event");
// Assert — the event is retrievable by entity.
let history = journal
.get_entity_history("batch:42")
.await
.expect("history lookup");
assert_eq!(history.len(), 1, "one event should be visible in history");
let ev = &history[0];
assert_eq!(ev.action, "ingest");
assert_eq!(ev.entity_type, "test_dataset");
assert_eq!(ev.actor, "ingest_api");
assert!(
ev.new_value.contains("probe.csv"),
"new_value should carry source filename, got: {}",
ev.new_value
);
}
#[tokio::test]
async fn optional_journal_field_none_is_valid_back_compat() {
// IngestState.journal is Option<Journal>. Back-compat path: when
// the field is None, the ingest handler MUST still succeed — the
// journal call is fire-and-forget, never load-bearing.
//
// This test asserts the type shape: Option<Journal> is what we
// expect. If a refactor makes it mandatory, this test forces an
// explicit re-consideration.
let none_journal: Option<Journal> = None;
assert!(none_journal.is_none());
let some_journal: Option<Journal> = Some(test_journal());
assert!(some_journal.is_some());
}
#[tokio::test]
async fn journal_record_event_fields_match_adr_012_schema() {
// ADR-012 locks the event schema: entity_type, entity_id, field,
// action, old_value, new_value, actor, source, workspace_id plus
// the auto-assigned event_id + timestamp. This test pins the
// field names so a future refactor can't silently drop one.
let journal = test_journal();
let base = Event {
event_id: String::new(),
timestamp: chrono::Utc::now(),
entity_type: "candidate".into(),
entity_id: "CAND-0001".into(),
field: "phone".into(),
action: "update".into(),
old_value: "555-0000".into(),
new_value: "555-9999".into(),
actor: "recruiter".into(),
source: "api".into(),
workspace_id: "ws-x".into(),
};
journal.record(base).await.expect("record should accept full-schema event");
let h = journal
.get_entity_history("CAND-0001")
.await
.expect("lookup");
assert_eq!(h.len(), 1);
assert_eq!(h[0].field, "phone");
assert_eq!(h[0].old_value, "555-0000");
assert_eq!(h[0].new_value, "555-9999");
assert_eq!(h[0].workspace_id, "ws-x");
}
}
+6 -8
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@@ -72,14 +72,12 @@ async fn process_inbox(
let path = entry.path();
// 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; }
// 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();
tracing::info!("watcher: found new file '{}'", filename);
// Read file
+1 -1
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@@ -5,7 +5,7 @@
/// Storage: events buffer in memory, flush to Parquet periodically.
/// Query: load Parquet files, filter by entity/field/actor/time.
use arrow::array::{ArrayRef, RecordBatch, StringArray};
use arrow::array::{ArrayRef, RecordBatch, StringArray, UInt64Array};
use arrow::datatypes::{DataType, Field, Schema};
use chrono::{DateTime, Utc};
use object_store::ObjectStore;

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