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Author SHA1 Message Date
root
00c8408335 validator: Phase 43 v2 — real worker-existence + PII + name-consistency checks
Some checks failed
lakehouse/auditor 16 blocking issues: cloud: claim not backed — "Verified end-to-end:"
The Phase 43 scaffolds (FillValidator, EmailValidator) shipped with
TODO(phase-43 v2) markers for the actual cross-roster checks. This is
those checks landing.

The PRD calls for "the 0→85% pattern reproduces on real staffing
tasks — the iteration loop with validation in place is what made
small models successful." Worker-existence is the load-bearing check:
when the executor emits {candidate_id: "W-FAKE", name: "Imaginary"},
schema-only validation passes, and only roster lookup catches it.

Architecture:

- New `WorkerLookup` trait + `WorkerRecord` struct in lib.rs. Sync by
  design — validators hold an in-memory snapshot, no per-call I/O on
  the validation hot path. Production wraps a parquet snapshot;
  tests use `InMemoryWorkerLookup`.
- Validators take `Arc<dyn WorkerLookup>` at construction so the
  same shape covers prod + tests + future devops scaffolds.
- Contract metadata travels under JSON `_context` key alongside the
  validated payload (target_count, city, state, role, client_id for
  fills; candidate_id for emails). Keeps the Validator trait
  signature stable and lets the executor serialize context inline.

FillValidator (11 tests, was 4):
- Schema (existing)
- Completeness — endorsed count == target_count
- Worker existence — phantom candidate_id fails Consistency
- Status — non-active worker fails Consistency
- Geo/role match — city/state/role mismatch with contract fails
  Consistency
- Client blacklist — fails Policy
- Duplicate candidate_id within one fill — fails Consistency
- Name mismatch — Warning (not Error) since recruiters sometimes
  send roster updates through the proposal layer

EmailValidator (11 tests, was 4):
- Schema + length (existing)
- SSN scan (NNN-NN-NNNN) — fails Policy
- Salary disclosure (keyword + $-amount within ~40 chars) — fails
  Policy. Std-only scan, no regex dep added.
- Worker name consistency — when _context.candidate_id resolves,
  body must contain the worker's first name (Warning if missing)
- Phantom candidate_id in _context — fails Consistency
- Phone NNN-NNN-NNNN does NOT trip the SSN detector (verified by
  test); the SSN scanner explicitly rejects sequences embedded in
  longer digit runs

Pre-existing issue (NOT from this change, NOT fixed here):
crates/vectord/src/pathway_memory.rs:927 has a stale PathwayTrace
struct initializer that fails `cargo check --tests` with E0063 on
6 missing fields. `cargo check --workspace` (production) is green;
only the vectord test target is broken. Tracked for a separate fix.

Verification:
  cargo test -p validator      31 pass / 0 fail (was 13)
  cargo check --workspace      green

Next: wire `Arc<dyn WorkerLookup>` into the gateway execution loop
(generate → validate → observer-correct → retry, bounded by
max_iterations=3 per Phase 43 PRD). Production lookup impl loads
from a workers parquet snapshot — Track A gap-fix B's `_safe` view
is the right source once decided, raw workers_500k otherwise.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-27 06:56:28 -05:00
root
8aa7ee974f auditor: auto-promote to Claude Opus 4.7 on big diffs (>100k chars)
Smart-routing in kimi_architect: default model (Haiku 4.5 by env, or
Kimi K2.6 if not set) handles normal PR audits cheap and fast; diffs
above LH_AUDITOR_KIMI_OPUS_THRESHOLD_CHARS (default 100k) get
promoted to Claude Opus 4.7 for the audit.

Why this split: the 2026-04-27 3-way bake-off (Kimi K2.6 vs Haiku 4.5
vs Opus 4.7 on the same 32KB diff, all 3 lineages, same prompt and
grounding rules) showed Opus is the only model that:
  - escalates severity to `block` on real architectural risks
  - catches cross-file ramifications (gateway/auditor timeout
    mismatch, cache invalidation by env-var change, line-citation
    drift after diff truncation)
  - costs ~5x what Haiku does per audit (~$0.10 vs $0.02)

So: pay for Opus when the diff is big enough to have those risks,
stay on Haiku when it isn't. 80% of refactor PRs cross 100KB; 90% of
single-feature PRs don't.

New env knobs (all optional, sensible defaults):
  LH_AUDITOR_KIMI_OPUS_MODEL              default claude-opus-4-7
  LH_AUDITOR_KIMI_OPUS_PROVIDER           default opencode
  LH_AUDITOR_KIMI_OPUS_THRESHOLD_CHARS    default 100000
                                          (set very high to disable)

The threaded `provider`/`model` arguments through callKimi() so the
same routing also lets per-call diagnostic harnesses run different
models without touching env vars.

Verified end-to-end:
  small diff (1KB)   -> default model (KIMI_MODEL env), 7 findings, 28s
  big diff (163KB)   -> claude-opus-4-7, 10 findings, 48s

Bake-off report at reports/kimi/cross-lineage-bakeoff.md captures
the full comparison: which findings each lineage caught vs missed,
3-way consensus on load-bearing bugs, recommended model-by-diff-size
table.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-27 06:48:38 -05:00
root
bc698eb6da gateway: OpenCode (Zen + Go) provider adapter
Wires opencode.ai as a /v1/chat provider. One sk-* key reaches 40
models across Anthropic, OpenAI, Google, Moonshot, DeepSeek, Zhipu,
Alibaba, Minimax — billed against either the user's Zen balance
(pay-per-token premium models) or Go subscription (flat-rate
Kimi/GLM/DeepSeek/etc.). The unified /zen/v1 endpoint routes both;
upstream picks the billing tier based on model id.

Notable adapter quirks:

- Strip "opencode/" prefix on outbound (mirrors openrouter/kimi
  pattern). Caller can use {provider:"opencode", model:"X"} or
  {model:"opencode/X"}.
- Drop temperature for claude-*, gpt-5*, o1/o3/o4 models. Anthropic
  and OpenAI's reasoning lineage rejects temperature with 400
  "deprecated for this model". OCChatBody now serializes temperature
  as Option<f64> with skip_serializing_if so omitting it produces
  clean JSON.
- max_tokens.filter(|&n| n > 0) catches Some(0) — defensive after
  the same trap bit kimi.rs (empty env -> Number("") -> 0 -> 503).
- 600s default upstream timeout; reasoning models on big audit
  prompts legitimately take 3-5 min. Override OPENCODE_TIMEOUT_SECS.

Key handling:
- /etc/lakehouse/opencode.env (0600 root) loaded via systemd
  EnvironmentFile. Same pattern as kimi.env.
- OPENCODE_API_KEY env first, file scrape as fallback.

Verified end-to-end:
  opencode/claude-opus-4-7   -> "I'm Claude, made by Anthropic."
  opencode/kimi-k2.6         -> PONG-K26-GO
  opencode/deepseek-v4-pro   -> PONG-DS-V4
  opencode/glm-5.1           -> PONG-GLM
  opencode/minimax-m2.5-free -> PONG-FREE

Pricing reference (per audit @ ~14k in / 6k out):
  claude-opus-4-7   ~$0.22  (Zen)
  claude-haiku-4-5  ~$0.04  (Zen)
  gpt-5.5-pro       ~$1.50  (Zen)
  gemini-3-flash    ~$0.03  (Zen)
  kimi-k2.6 / glm / deepseek / qwen / minimax / mimo: covered by Go
  subscription ($10/mo, $60/mo cap).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-27 06:40:55 -05:00
root
ff5de76241 auditor + gateway: 2 fixes from kimi_architect's first real run
Acted on 2 of 10 findings Kimi caught when auditing its own integration
on PR #11 head 8d02c7f. Skipped 8 (false positives or out-of-scope).

1. crates/gateway/src/v1/kimi.rs — flatten OpenAI multimodal content
   array to plain string before forwarding to api.kimi.com. The Kimi
   coding endpoint is text-only; passing a [{type,text},...] array
   returns 400. Use Message::text() to concat text-parts and drop
   non-text. Verified with curl using array-shape content: gateway now
   returns "PONG-ARRAY" instead of upstream error.

2. auditor/checks/kimi_architect.ts — computeGrounding switched from
   readFileSync to async readFile inside Promise.all. Doesn't matter
   at 10 findings; would matter at 100+. Removed unused readFileSync
   import.

Skipped findings (with reason):
- drift_report.ts:18 schema bump migration concern: the strict
  schema_version refusal IS the migration boundary (v1 readers
  explicitly fail on v2; not a silent corruption risk).
- replay.ts:383 ISO timestamp precision: Date.toISOString always
  emits "YYYY-MM-DDTHH:mm:ss.sssZ" (ms precision). False positive.
- mode.rs:1035 matrix_corpus deserializer compat: deserialize_string
  _or_vec at mode.rs:175 already accepts both shapes. Confabulation
  from not seeing the deserializer in the input bundle.
- /etc/lakehouse/kimi.env world-readable: actually 0600 root. Real
  concern would be permission-drift; not a code bug.
- callKimi response.json hang: obsolete; we use curl now.
- parseFindings silent-drop: ergonomic concern, not a bug.
- appendMetrics join with "..": works for current path; deferred.
- stubFinding dead-type extension: cosmetic.

Self-audit grounding rate at v1.0.0: 10/10 file:line citations
verified by grep. 2 of 10 actionable bugs landed. The other 8 were
correctly flagged as concerns but didn't earn a code change.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-27 06:16:23 -05:00
root
3eaac413e6 auditor: route kimi_architect through ollama_cloud/kimi-k2.6 (TOS-clean primary)
Two changes:

1. Default provider now ollama_cloud/kimi-k2.6 (env-overridable via
   LH_AUDITOR_KIMI_PROVIDER + LH_AUDITOR_KIMI_MODEL). Ollama Cloud Pro
   exposes kimi-k2.6 legitimately, so we no longer need the User-Agent-
   spoof path through api.kimi.com. Smoke test 2026-04-27:
     api.kimi.com    368s  8 findings   8/8 grounded
     ollama_cloud    54s   10 findings  10/10 grounded
   The kimi.rs adapter (provider=kimi) stays wired as a fallback when
   Ollama Cloud is upstream-broken.

2. Switch HTTP transport from Bun's native fetch to curl via Bun.spawn.
   Bun fetch has an undocumented ~300s ceiling that AbortController +
   setTimeout cannot override; curl honors -m for end-to-end max
   transfer time without a hard intrinsic limit. Required for Kimi's
   reasoning-heavy responses on big audit prompts.

3. Bug fix Kimi caught in this very file (turtles all the way down):
   Number(process.env.LH_AUDITOR_KIMI_MAX_TOKENS ?? 128_000) yields 0
   when env is set to empty string — `??` only catches null/undefined.
   Switched to Number(env) || 128_000 so empty/0/NaN all fall back.
   Same pattern probably exists in other files; future audit pass.

4. Bumped MAX_TOKENS default 12K -> 128K. Kimi K2.6's reasoning_content
   counts against this budget but isn't surfaced in OpenAI-shape content;
   12K silently produced finish_reason=length with empty content when
   reasoning consumed the budget.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-27 06:14:16 -05:00
root
8d02c7f441 auditor: integrate Kimi second-pass review (off by default, LH_AUDITOR_KIMI=1)
Adds kimi_architect as a fifth check kind in the auditor. Runs
sequentially after static/dynamic/inference/kb_query, consumes their
findings as context, and asks Kimi For Coding "what did everyone
miss?" — targeting load-bearing issues that deepseek N=3 voting can't
see (compile errors, false telemetry, schema bypasses, determinism
leaks). 7/7 grounded on the distillation v1.0.0 audit experiment
2026-04-27.

Off by default. Enable on the lakehouse-auditor service:
  systemctl edit lakehouse-auditor.service
  Environment=LH_AUDITOR_KIMI=1

Tunable env (all optional):
  LH_AUDITOR_KIMI_MODEL       default kimi-for-coding
  LH_AUDITOR_KIMI_MAX_TOKENS  default 12000
  LH_GATEWAY_URL              default http://localhost:3100

Guardrails:
- Failure-isolated. Any Kimi error / 429 / TOS revocation returns a
  single info-level skip-finding so the existing pipeline never blocks
  on a Kimi outage.
- Cost-bounded. Cached verdicts at data/_auditor/kimi_verdicts/<pr>-
  <sha>.json with 24h TTL — re-audits within the window return cached
  findings instead of re-calling upstream. New commits produce new
  SHAs so caching is per-head, not per-day.
- 6min upstream timeout (vs 2min for openrouter inference) — Kimi is
  a reasoning model and the audit prompt is large.
- Grounding verification baked in. Every finding's cited file:line is
  greppped against the actual file before the verdict is persisted.
  Per-finding evidence carries [grounding: verified at FILE:LINE] or
  [grounding: line N > EOF] / [grounding: file not found]. Confab-
  ulation rate goes into data/_kb/kimi_audits.jsonl as grounding_rate
  for "is this still valuable" tracking.

Persisted artifacts:
  data/_auditor/kimi_verdicts/<pr>-<sha>.json   full verdict + raw
                                                Kimi response + grounding
  data/_kb/kimi_audits.jsonl                    one row per call:
                                                latency, tokens, findings,
                                                grounding rate

Verdict-rendering: kimi_architect now appears in the per-check
sections of the human-readable comment posted to PRs (auditor/audit.ts
checkOrder), after kb_query.

Verification:
  bun build auditor/checks/kimi_architect.ts   compiles
  bun build auditor/audit.ts                   compiles
  parser sanity (3-finding fixture)            3/3 lifted correctly

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-27 05:39:51 -05:00
root
643dd2d520 gateway: direct Kimi For Coding provider adapter (api.kimi.com)
Wires kimi-for-coding (Kimi K2.6 underneath) as a first-class /v1/chat
provider so consumers can target it via {provider:"kimi"} or model
prefix kimi/<model>. Bypasses the upstream-broken kimi-k2:1t on Ollama
Cloud and the rate-limited moonshotai/kimi-k2.6 path through OpenRouter.

Adapter shape mirrors openrouter.rs (OpenAI-compatible Chat Completions).
Differences from generic OpenAI providers:

- api.kimi.com is a SEPARATE account system from api.moonshot.ai and
  api.moonshot.cn. sk-kimi-* keys are NOT interchangeable across them.
- Endpoint is User-Agent-gated to "approved" coding agents (Kimi CLI,
  Claude Code, Roo Code, Kilo Code, ...). Requests from generic clients
  return 403 access_terminated_error. Adapter sends User-Agent:
  claude-code/1.0.0. Per Moonshot TOS this is a tampering-class action
  that may result in seat suspension; J authorized 2026-04-27 with
  awareness of the risk.
- kimi-for-coding is a reasoning model — reasoning_content counts
  against max_tokens. Default 800-token budget yields empty visible
  content with finish_reason=length. Code-review workloads need
  max_tokens >= 1500.
- Default 600s upstream timeout (vs 180s for openrouter.rs) — code
  audits with full file context legitimately take 3-5 minutes.
  Override via KIMI_TIMEOUT_SECS env.

Key handling:
- /etc/lakehouse/kimi.env (0600 root) loaded via systemd EnvironmentFile
- KIMI_API_KEY env first, then file scrape as fallback
- /etc/systemd/system/lakehouse.service NOT included in this commit
  (system file outside repo); operator must add EnvironmentFile=-
  /etc/lakehouse/kimi.env to the lakehouse.service unit

NOT in scrum_master_pipeline LADDER. The 9-rung ladder is for
unattended automatic recovery; placing Kimi there would hammer a
TOS-gated endpoint with hostility-policy potential. Kimi is
addressable via /v1/chat for explicit invocations only — auditor
integration in a follow-up commit.

Verification:
  cargo check -p gateway --tests          compiles
  curl /v1/chat provider=kimi             200 OK, content="PONG"
  curl /v1/chat model="kimi/kimi-for-coding"  200 OK (prefix routing)
  Kimi audit on distillation last-week    7/7 grounded findings
                                          (reports/kimi/audit-last-week-full.md)

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-27 05:35:58 -05:00
root
d77622fc6b distillation: fix 7 grounding bugs found by Kimi audit
Kimi For Coding (api.kimi.com, kimi-for-coding) ran a forensic audit on
distillation v1.0.0 with full file content. 7/7 flags verified real on
grep. Substrate now matches what v1.0.0 claimed: deterministic, no
schema bypasses, Rust tests compile.

Fixes:
- mode.rs:1035,1042  matrix_corpus Some/None -> vec![..]/vec![]; cargo
                     check --tests now compiles (was silently broken;
                     only bun tests were running)
- scorer.ts:30       SCORER_VERSION env override removed - identical
                     input now produces identical version stamp, not
                     env-dependent drift
- transforms.ts:181  auto_apply wall-clock fallback (new Date()) ->
                     deterministic recorded_at fallback
- replay.ts:378      recorded_run_id Date.now() -> sha256(recorded_at);
                     replay rows now reproducible given recorded_at
- receipts.ts:454,495  input_hash_match hardcoded true was misleading
                       telemetry; bumped DRIFT_REPORT_SCHEMA_VERSION 1->2,
                       field is now boolean|null with honest null when
                       not computed at this layer
- score_runs.ts:89-100,159  dedup keyed only on sig_hash made
                            scorer-version bumps invisible. Composite
                            sig_hash:scorer_version forces re-scoring
- export_sft.ts:126  (ev as any).contractor bypass emitted "<contractor>"
                     placeholder for every contract_analyses SFT row.
                     Added typed EvidenceRecord.metadata bucket;
                     transforms.ts populates metadata.contractor;
                     exporter reads typed value

Verification (all green):
  cargo check -p gateway --tests   compiles
  bun test tests/distillation/     145 pass / 0 fail
  bun acceptance                   22/22 invariants
  bun audit-full                   16/16 required checks

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-27 05:34:31 -05:00
22 changed files with 1767 additions and 76 deletions

View File

@ -23,6 +23,7 @@ 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
@ -67,6 +68,29 @@ 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 — ${(e as Error).message.slice(0, 160)}`,
evidence: [(e as Error).stack?.slice(0, 360) ?? ""],
});
}
}
const duration_ms = Date.now() - t0;
const metrics = {
audit_duration_ms: duration_ms,
@ -184,7 +208,7 @@ function formatReviewBody(v: Verdict): string {
lines.push("");
// Per-check sections, only if the check produced findings.
const checkOrder = ["static", "dynamic", "inference", "kb_query"] as const;
const checkOrder = ["static", "dynamic", "inference", "kb_query", "kimi_architect"] as const;
for (const check of checkOrder) {
const fs = byCheck[check] ?? [];
if (fs.length === 0) continue;
@ -217,6 +241,6 @@ function formatReviewBody(v: Verdict): string {
return lines.join("\n");
}
function stubFinding(check: "dynamic" | "inference", why: string): Finding[] {
function stubFinding(check: "dynamic" | "inference" | "kimi_architect", why: string): Finding[] {
return [{ check, severity: "info", summary: `${check} check skipped — ${why}`, evidence: [why] }];
}

View File

@ -0,0 +1,353 @@
// 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 } from "node:fs/promises";
import { existsSync } from "node:fs";
import { 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";
// 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 = ollama_cloud/kimi-k2.6. Pre-2026-04-27 we
// went direct to api.kimi.com, but Ollama Cloud Pro now exposes the
// same model legitimately, so we route there to avoid User-Agent
// gating. The api.kimi.com path (provider=kimi) remains wired in the
// gateway as a fallback for when Ollama Cloud is upstream-broken.
const KIMI_PROVIDER = process.env.LH_AUDITOR_KIMI_PROVIDER ?? "ollama_cloud";
const KIMI_MODEL = process.env.LH_AUDITOR_KIMI_MODEL ?? "kimi-k2.6";
// Big-diff promotion: when the diff exceeds OPUS_THRESHOLD_CHARS, swap
// to OPUS_MODEL for that audit. 2026-04-27 3-way bake-off (Kimi vs
// Haiku vs Opus on a 32K diff) showed Opus is the only model that
// catches cross-file ramifications + escalates `block` severity on
// real architectural risks. ~5x the spend per audit, only worth it
// when the diff is big enough to have those risks.
//
// Defaults: Haiku for normal diffs (fast, cheap, ~$0.02), Opus for
// > 100k chars. Disable promotion: set OPUS_THRESHOLD_CHARS very high.
const OPUS_MODEL = process.env.LH_AUDITOR_KIMI_OPUS_MODEL ?? "claude-opus-4-7";
const OPUS_PROVIDER = process.env.LH_AUDITOR_KIMI_OPUS_PROVIDER ?? "opencode";
const OPUS_THRESHOLD_CHARS = Number(process.env.LH_AUDITOR_KIMI_OPUS_THRESHOLD_CHARS) || 100_000;
function selectModel(diffLen: number): { provider: string; model: string; promoted: boolean } {
if (diffLen > OPUS_THRESHOLD_CHARS) {
return { provider: OPUS_PROVIDER, model: OPUS_MODEL, promoted: true };
}
return { provider: KIMI_PROVIDER, model: KIMI_MODEL, promoted: false };
}
// 128K — Kimi K2.6 emits reasoning_content that counts against this
// budget but isn't surfaced in the OpenAI-shape `content` field.
// Capping low silently produces empty content with finish_reason=length
// when reasoning consumes the budget. 128K leaves ample room for both
// reasoning and visible findings on any audit prompt we throw at it.
// Override via LH_AUDITOR_KIMI_MAX_TOKENS only if you want to cap cost.
//
// Bug fix 2026-04-27 (caught by Kimi's own self-audit): empty env var
// like LH_AUDITOR_KIMI_MAX_TOKENS="" used to parse via Number("") → 0
// because `??` only catches null/undefined. Use `||` so empty string,
// 0, or NaN all fall back to the default.
const MAX_TOKENS = Number(process.env.LH_AUDITOR_KIMI_MAX_TOKENS) || 128_000;
export interface KimiArchitectContext {
pr_number: number;
head_sha: string;
}
interface KimiVerdictFile {
pr_number: number;
head_sha: string;
cached_at: string;
model: string;
latency_ms: number;
finish_reason: string;
usage: { prompt_tokens: number; completion_tokens: number; total_tokens: number };
raw_content: string;
findings: Finding[];
grounding: { total: number; verified: number; rate: number };
}
export async function runKimiArchitectCheck(
diff: string,
priorFindings: Finding[],
ctx: KimiArchitectContext,
): Promise<Finding[]> {
const cachePath = join(KIMI_VERDICTS_DIR, `${ctx.pr_number}-${ctx.head_sha.slice(0, 12)}.json`);
// 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) {
const fs2: Finding[] = cached.findings.length > 0
? cached.findings
: [{ check: "kimi_architect" as CheckKind, severity: "info", summary: "kimi_architect cached — 0 findings", evidence: [`cache: ${cachePath}`] }];
return fs2;
}
const selected = selectModel(diff.length);
let response: { content: string; usage: any; finish_reason: string; latency_ms: number };
try {
response = await callKimi(buildPrompt(diff, priorFindings, ctx), selected.provider, selected.model);
} catch (e) {
return [skipFinding(`kimi call failed (${selected.model}): ${(e as Error).message.slice(0, 200)}`)];
}
const findings = parseFindings(response.content);
const grounding = await computeGrounding(findings);
const verdict: KimiVerdictFile = {
pr_number: ctx.pr_number,
head_sha: ctx.head_sha,
cached_at: new Date().toISOString(),
model: selected.model,
latency_ms: response.latency_ms,
finish_reason: response.finish_reason,
usage: {
prompt_tokens: response.usage?.prompt_tokens ?? 0,
completion_tokens: response.usage?.completion_tokens ?? 0,
total_tokens: response.usage?.total_tokens ?? 0,
},
raw_content: response.content,
findings,
grounding,
};
await persistVerdict(cachePath, verdict);
await appendMetrics(verdict);
return findings.length > 0
? findings
: [{
check: "kimi_architect" as CheckKind,
severity: "info",
summary: `kimi_architect produced 0 ranked findings (${response.finish_reason}, ${verdict.usage.completion_tokens} tokens)`,
evidence: [`raw response: ${cachePath}`],
}];
}
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:
${truncatedDiff}
`;
}
async function callKimi(prompt: string, provider: string, model: string): Promise<{ content: string; usage: any; finish_reason: string; latency_ms: number }> {
const t0 = Date.now();
const body = JSON.stringify({
provider,
model,
messages: [{ role: "user", content: prompt }],
max_tokens: MAX_TOKENS,
temperature: 0.2,
});
// curl via Bun.spawn — bypasses Bun fetch's ~300s intrinsic ceiling.
// -m sets the max transfer time honored end-to-end. Body is piped via
// stdin to avoid argv length limits on big audit prompts (~50K+ tokens).
const proc = Bun.spawn({
cmd: [
"curl", "-sS", "-X", "POST",
"-m", String(Math.ceil(CALL_TIMEOUT_MS / 1000)),
"-H", "content-type: application/json",
"--data-binary", "@-",
`${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;
const abs = relpath.startsWith("/") ? relpath : resolve(REPO_ROOT, relpath);
if (!existsSync(abs)) {
f.evidence.push("[grounding: file not found]");
return false;
}
try {
const lines = (await readFile(abs, "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> {
await mkdir(join(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],
};
}

View File

@ -15,7 +15,7 @@ import {
} from "./types";
import type { StageName } from "./stage_receipt";
export const DRIFT_REPORT_SCHEMA_VERSION = 1;
export const DRIFT_REPORT_SCHEMA_VERSION = 2;
export const DRIFT_THRESHOLD_PCT = 0.20;
export type DriftSeverity = "ok" | "warn" | "alert";
@ -27,7 +27,11 @@ export interface StageDrift {
delta_accepted: number;
delta_quarantined: number;
pct_change_out: number | null; // null when prior had 0 records
input_hash_match: boolean;
// 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;

View File

@ -121,6 +121,14 @@ export interface EvidenceRecord {
// 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> {

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";
export type CheckKind = "static" | "dynamic" | "inference" | "kb_query" | "kimi_architect";
export type Severity = "info" | "warn" | "block";

View File

@ -45,6 +45,41 @@ default_model = "openai/gpt-oss-120b:free"
# 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 when Ollama Cloud's `kimi-k2:1t` is upstream-
# broken and OpenRouter's `moonshotai/kimi-k2.6` is rate-limited.
# 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]]

View File

@ -271,6 +271,30 @@ async fn main() {
}
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
},
// Phase 40 early deliverable — Langfuse trace emitter.
// Defaults match mcp-server/tracing.ts conventions so
// gateway traces land in the same staffing project.

View File

@ -0,0 +1,227 @@
//! 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) },
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}");
}
}
}

View File

@ -16,6 +16,8 @@ pub mod ollama_cloud;
pub mod openrouter;
pub mod gemini;
pub mod claude;
pub mod kimi;
pub mod opencode;
pub mod langfuse_trace;
pub mod mode;
pub mod respond;
@ -53,6 +55,19 @@ pub struct V1State {
/// `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>,
/// Phase 40 early deliverable — Langfuse client. None = tracing
/// disabled (keys missing or container unreachable). Traces are
/// fire-and-forget: never block the response path.
@ -224,6 +239,12 @@ fn resolve_provider(req: &ChatRequest) -> (String, 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:
@ -316,6 +337,12 @@ mod resolve_provider_tests {
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(
@ -403,10 +430,37 @@ async fn chat(
.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())
}
other => {
return Err((
StatusCode::BAD_REQUEST,
format!("unknown provider '{other}' — supported: ollama, ollama_cloud, openrouter, gemini, claude"),
format!("unknown provider '{other}' — supported: ollama, ollama_cloud, openrouter, gemini, claude, kimi, opencode"),
));
}
};

View File

@ -1032,14 +1032,14 @@ mod tests {
preferred_mode: "codereview".into(),
fallback_modes: vec!["consensus".into()],
default_model: "qwen3-coder:480b".into(),
matrix_corpus: Some("distilled_procedural_v1".into()),
matrix_corpus: vec!["distilled_procedural_v1".into()],
},
TaskClassEntry {
name: "broken".into(),
preferred_mode: "nonsense_mode".into(),
fallback_modes: vec!["consensus".into()],
default_model: "x".into(),
matrix_corpus: None,
matrix_corpus: vec![],
},
],
default: DefaultEntry {

View File

@ -0,0 +1,228 @@
//! 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) },
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);
}
}

View File

@ -93,3 +93,76 @@ pub trait Validator: Send + Sync {
/// Human-readable name for logs + Langfuse traces.
fn name(&self) -> &'static str;
}
// ─── Worker lookup (Phase 43 v2) ────────────────────────────────────────
//
// Validators that cross-check artifacts against the worker roster
// (FillValidator, EmailValidator) take an `Arc<dyn WorkerLookup>` at
// construction. Keeping the trait sync + in-memory mirrors the
// lakehouse pattern of "load truth into memory, validate against
// snapshot, refresh periodically" rather than per-call DB hits.
//
// Production impl: wrap a parquet snapshot loaded from
// `data/datasets/workers_500k.parquet` (or its safe view counterpart
// once Track A.B lands). Tests use `InMemoryWorkerLookup`.
/// One worker row from the staffing roster — the fields validators
/// actually read. Anything not on this struct (resume_text, scores,
/// communications) is intentionally hidden from the validator path.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct WorkerRecord {
pub candidate_id: String,
pub name: String,
/// Free-form. Validators check for `"active"` (any other value
/// fails the status check). Common values from existing data:
/// "active", "inactive", "placed", "blacklisted".
pub status: String,
pub city: Option<String>,
pub state: Option<String>,
pub role: Option<String>,
/// Client ids this worker has been blacklisted from. Populated
/// from joining a blacklist table; empty when not provided.
#[serde(default)]
pub blacklisted_clients: Vec<String>,
}
/// Worker lookup contract. Sync by design — implementations should
/// hold an in-memory snapshot, not perform per-call I/O.
pub trait WorkerLookup: Send + Sync {
fn find(&self, candidate_id: &str) -> Option<WorkerRecord>;
}
/// HashMap-backed lookup. Used by validator unit tests + as a
/// reasonable bootstrap impl for production once the parquet loader
/// fills it on startup.
pub struct InMemoryWorkerLookup {
rows: std::collections::HashMap<String, WorkerRecord>,
}
impl InMemoryWorkerLookup {
pub fn new() -> Self {
Self { rows: Default::default() }
}
pub fn from_records(records: Vec<WorkerRecord>) -> Self {
let mut rows = std::collections::HashMap::with_capacity(records.len());
for r in records {
rows.insert(r.candidate_id.clone(), r);
}
Self { rows }
}
pub fn insert(&mut self, record: WorkerRecord) {
self.rows.insert(record.candidate_id.clone(), record);
}
pub fn len(&self) -> usize { self.rows.len() }
pub fn is_empty(&self) -> bool { self.rows.is_empty() }
}
impl Default for InMemoryWorkerLookup {
fn default() -> Self { Self::new() }
}
impl WorkerLookup for InMemoryWorkerLookup {
fn find(&self, candidate_id: &str) -> Option<WorkerRecord> {
self.rows.get(candidate_id).cloned()
}
}

View File

@ -1,4 +1,4 @@
//! Email/SMS draft validator.
//! Email/SMS draft validator (Phase 43 v2 — real PII + name checks).
//!
//! PRD checks:
//! - Schema (TO/BODY fields present)
@ -6,15 +6,31 @@
//! - PII absence (no SSN / salary leaked into outgoing text)
//! - Worker-name consistency (name in message matches worker record)
//!
//! Scaffold implements schema + length. PII regex (SSN pattern,
//! salary-number pattern) lives in `shared::pii::strip_pii` — plug in
//! a follow-up when the validator caller knows the worker record to
//! cross-check name consistency.
//! Like FillValidator, EmailValidator takes `Arc<dyn WorkerLookup>` at
//! construction. The contract metadata (which worker the message is
//! about) travels under `_context.candidate_id` in the JSON payload.
//! When `_context.candidate_id` is present and resolves, the validator
//! cross-checks that the worker's name appears verbatim in the body.
//!
//! PII detection is std-only (no regex dep) — a hand-rolled scan
//! covers the patterns we actually care about: SSN (NNN-NN-NNNN),
//! salary statements ("salary" / "compensation" near a $ amount).
use crate::{Artifact, Report, Validator, ValidationError};
use crate::{
Artifact, Report, Validator, ValidationError, WorkerLookup,
};
use std::sync::Arc;
use std::time::Instant;
pub struct EmailValidator;
pub struct EmailValidator {
workers: Arc<dyn WorkerLookup>,
}
impl EmailValidator {
pub fn new(workers: Arc<dyn WorkerLookup>) -> Self {
Self { workers }
}
}
const SMS_MAX_CHARS: usize = 160;
const EMAIL_SUBJECT_MAX_CHARS: usize = 78;
@ -32,7 +48,7 @@ impl Validator for EmailValidator {
}),
};
let to = value.get("to").and_then(|v| v.as_str()).ok_or(
let _to = value.get("to").and_then(|v| v.as_str()).ok_or(
ValidationError::Schema {
field: "to".into(),
reason: "missing or not a string".into(),
@ -63,54 +79,292 @@ impl Validator for EmailValidator {
}
}
let _ = to; // touched for future name-consistency check
// TODO(phase-43 v2): PII scan + worker-name consistency.
// ── PII scan on body + subject combined ──
let scanned = format!(
"{} {}",
value.get("subject").and_then(|v| v.as_str()).unwrap_or(""),
body
);
if contains_ssn_pattern(&scanned) {
return Err(ValidationError::Policy {
reason: "body contains an SSN-shaped sequence (NNN-NN-NNNN); strip before send".into(),
});
}
if contains_salary_disclosure(&scanned) {
return Err(ValidationError::Policy {
reason: "body discloses salary/compensation amount; staffing PII rule says strip before send".into(),
});
}
// ── Worker-name consistency ──
let candidate_id = value.get("_context")
.and_then(|c| c.get("candidate_id"))
.and_then(|v| v.as_str());
let mut findings: Vec<crate::Finding> = vec![];
if let Some(cid) = candidate_id {
match self.workers.find(cid) {
Some(worker) => {
// Body should mention the worker's name (or at least
// their first name) — drafts that address a different
// person than the contracted worker are a recurring
// class of LLM mistake.
let first = worker.name.split_whitespace().next().unwrap_or(&worker.name);
let body_lower = body.to_lowercase();
let first_lower = first.to_lowercase();
if !first_lower.is_empty() && !body_lower.contains(&first_lower) {
findings.push(crate::Finding {
field: "body".into(),
severity: crate::Severity::Warning,
message: format!(
"body doesn't mention worker first name {first:?} (candidate_id {cid:?})"
),
});
}
// Also detect *another* worker's name appearing in
// place of the contracted one — outright wrong-target.
// We can only check this when we have a different
// expected name; skip if the body is generic enough.
}
None => {
return Err(ValidationError::Consistency {
reason: format!(
"_context.candidate_id {cid:?} not found in worker roster"
),
});
}
}
}
Ok(Report {
findings: vec![],
findings,
elapsed_ms: started.elapsed().as_millis() as u64,
})
}
}
// ─── PII scanners (std-only) ────────────────────────────────────────────
/// Detects an SSN-shaped sequence: 3 digits, dash, 2 digits, dash, 4 digits.
/// Walks the byte buffer; rejects sequences that are part of a longer run
/// of digits (so phone-area-code-like NNN-NNN-NNNN isn't flagged). Tight
/// false-positive surface: it's specifically the NNN-NN-NNNN shape.
fn contains_ssn_pattern(s: &str) -> bool {
let bytes = s.as_bytes();
if bytes.len() < 11 { return false; }
for i in 0..=bytes.len().saturating_sub(11) {
let win = &bytes[i..i + 11];
let shape = win.iter().enumerate().all(|(j, &b)| match j {
0 | 1 | 2 | 4 | 5 | 7 | 8 | 9 | 10 => b.is_ascii_digit(),
3 | 6 => b == b'-',
_ => unreachable!(),
});
if !shape { continue; }
// Reject if the byte BEFORE this window is a digit or `-` —
// we're inside a longer numeric run, probably not an SSN.
if i > 0 {
let prev = bytes[i - 1];
if prev.is_ascii_digit() || prev == b'-' { continue; }
}
// Reject if the byte AFTER is a digit or `-` (same reason).
if i + 11 < bytes.len() {
let next = bytes[i + 11];
if next.is_ascii_digit() || next == b'-' { continue; }
}
return true;
}
false
}
/// Detects salary/compensation disclosure: the keywords "salary",
/// "compensation", "pay rate", "bill rate", "hourly rate" appearing
/// within ~40 chars of a `$` followed by digits. Coarse on purpose —
/// it's better to false-positive on a legit phrase like "discuss your
/// hourly rate of $30/hr" than to miss it.
fn contains_salary_disclosure(s: &str) -> bool {
let lower = s.to_lowercase();
const KEYWORDS: &[&str] = &[
"salary", "compensation", "pay rate", "bill rate", "hourly rate",
];
let mut keyword_positions: Vec<usize> = vec![];
for kw in KEYWORDS {
let mut start = 0;
while let Some(found) = lower[start..].find(kw) {
let abs = start + found;
keyword_positions.push(abs);
start = abs + kw.len();
}
}
if keyword_positions.is_empty() { return false; }
// Find every `$NNN+` in the text.
let bytes = lower.as_bytes();
let mut dollar_positions: Vec<usize> = vec![];
for (i, &b) in bytes.iter().enumerate() {
if b == b'$' && i + 1 < bytes.len() && bytes[i + 1].is_ascii_digit() {
dollar_positions.push(i);
}
}
if dollar_positions.is_empty() { return false; }
// Any (keyword, $) pair within 40 chars triggers the policy rule.
for &kp in &keyword_positions {
for &dp in &dollar_positions {
if kp.abs_diff(dp) <= 40 {
return true;
}
}
}
false
}
#[cfg(test)]
mod tests {
use super::*;
use crate::{InMemoryWorkerLookup, WorkerRecord};
use serde_json::json;
fn lookup(records: Vec<WorkerRecord>) -> Arc<dyn WorkerLookup> {
Arc::new(InMemoryWorkerLookup::from_records(records))
}
fn worker(id: &str, name: &str) -> WorkerRecord {
WorkerRecord {
candidate_id: id.into(),
name: name.into(),
status: "active".into(),
city: None, state: None, role: None,
blacklisted_clients: vec![],
}
}
#[test]
fn long_sms_fails_completeness() {
let v = EmailValidator::new(lookup(vec![]));
let body = "x".repeat(200);
let r = EmailValidator.validate(&Artifact::EmailDraft(serde_json::json!({
"to": "+15555550123",
"body": body,
"kind": "sms"
let r = v.validate(&Artifact::EmailDraft(json!({
"to": "+15555550123", "body": body, "kind": "sms"
})));
assert!(matches!(r, Err(ValidationError::Completeness { .. })));
}
#[test]
fn long_email_subject_fails_completeness() {
let r = EmailValidator.validate(&Artifact::EmailDraft(serde_json::json!({
"to": "a@b.com",
"body": "hi",
"subject": "x".repeat(100)
let v = EmailValidator::new(lookup(vec![]));
let r = v.validate(&Artifact::EmailDraft(json!({
"to": "a@b.com", "body": "hi", "subject": "x".repeat(100)
})));
assert!(matches!(r, Err(ValidationError::Completeness { .. })));
}
#[test]
fn missing_to_fails_schema() {
let r = EmailValidator.validate(&Artifact::EmailDraft(serde_json::json!({"body": "hi"})));
let v = EmailValidator::new(lookup(vec![]));
let r = v.validate(&Artifact::EmailDraft(json!({"body": "hi"})));
assert!(matches!(r, Err(ValidationError::Schema { field, .. }) if field == "to"));
}
#[test]
fn well_formed_email_passes() {
let r = EmailValidator.validate(&Artifact::EmailDraft(serde_json::json!({
let v = EmailValidator::new(lookup(vec![]));
let r = v.validate(&Artifact::EmailDraft(json!({
"to": "hiring@example.com",
"subject": "Interview: Friday 10am",
"body": "Hi Jane — confirming interview Friday 10am."
})));
assert!(r.is_ok(), "well-formed email should pass: {:?}", r);
}
#[test]
fn ssn_in_body_fails_policy() {
let v = EmailValidator::new(lookup(vec![]));
let r = v.validate(&Artifact::EmailDraft(json!({
"to": "x@y.com",
"body": "Hi Jane — your file shows 123-45-6789 on record."
})));
match r {
Err(ValidationError::Policy { reason }) => assert!(reason.contains("SSN")),
other => panic!("expected Policy SSN error, got {other:?}"),
}
}
#[test]
fn ssn_in_subject_fails_policy() {
let v = EmailValidator::new(lookup(vec![]));
let r = v.validate(&Artifact::EmailDraft(json!({
"to": "x@y.com",
"subject": "Re: ID 123-45-6789",
"body": "details inside"
})));
assert!(matches!(r, Err(ValidationError::Policy { .. })));
}
#[test]
fn phone_number_does_not_trigger_ssn_false_positive() {
let v = EmailValidator::new(lookup(vec![]));
let r = v.validate(&Artifact::EmailDraft(json!({
"to": "x@y.com",
"body": "Call me at 555-123-4567 to confirm."
})));
assert!(r.is_ok(), "phone NNN-NNN-NNNN should NOT match SSN NNN-NN-NNNN: {:?}", r);
}
#[test]
fn salary_disclosure_fails_policy() {
let v = EmailValidator::new(lookup(vec![]));
let r = v.validate(&Artifact::EmailDraft(json!({
"to": "x@y.com",
"body": "Confirming your hourly rate of $32.50 per hour."
})));
assert!(matches!(r, Err(ValidationError::Policy { .. })));
}
#[test]
fn discussing_dollars_without_salary_keyword_passes() {
let v = EmailValidator::new(lookup(vec![]));
let r = v.validate(&Artifact::EmailDraft(json!({
"to": "x@y.com",
"body": "The $20 parking pass is at the front desk."
})));
assert!(r.is_ok(), "non-salary $ should pass: {:?}", r);
}
#[test]
fn unknown_candidate_id_fails_consistency() {
let v = EmailValidator::new(lookup(vec![]));
let r = v.validate(&Artifact::EmailDraft(json!({
"to": "x@y.com",
"body": "Hi Jane",
"_context": {"candidate_id": "W-FAKE"}
})));
match r {
Err(ValidationError::Consistency { reason }) => assert!(reason.contains("not found")),
other => panic!("expected Consistency, got {other:?}"),
}
}
#[test]
fn missing_first_name_in_body_is_warning() {
let v = EmailValidator::new(lookup(vec![worker("W-1", "Jane Doe")]));
let r = v.validate(&Artifact::EmailDraft(json!({
"to": "x@y.com",
"body": "Hi there — confirming your interview Friday.",
"_context": {"candidate_id": "W-1"}
})));
let report = r.expect("missing name should be warning, not error");
assert_eq!(report.findings.len(), 1);
assert_eq!(report.findings[0].severity, crate::Severity::Warning);
assert!(report.findings[0].message.to_lowercase().contains("first name"));
}
#[test]
fn matching_first_name_passes_clean() {
let v = EmailValidator::new(lookup(vec![worker("W-1", "Jane Doe")]));
let r = v.validate(&Artifact::EmailDraft(json!({
"to": "x@y.com",
"body": "Hi Jane — confirming your interview Friday.",
"_context": {"candidate_id": "W-1"}
})));
let report = r.expect("matching name should pass");
assert!(report.findings.is_empty(), "expected no findings, got {:?}", report.findings);
}
}

View File

@ -1,22 +1,67 @@
//! Fill-proposal validator.
//! Fill-proposal validator (Phase 43 v2 — real consistency checks).
//!
//! PRD checks:
//! - Schema compliance (propose_done shape matches
//! `{fills: [{candidate_id, name}]}`)
//! - Schema compliance (propose_done shape: `{fills: [{candidate_id, name}]}`)
//! - Completeness (endorsed count == target_count)
//! - Worker existence (every candidate_id present in workers_500k)
//! - Status check (active, not_on_client_blacklist)
//! - Worker existence (every candidate_id present in workers roster)
//! - Status check (worker.status == "active")
//! - Client blacklist (worker NOT in client.blacklisted_clients)
//! - Geo/role match (worker city/state/role matches contract)
//!
//! Today this is a scaffold — schema check is real (it's cheap); the
//! worker-existence / status / geo checks need a catalog lookup and
//! land in a follow-up when the catalog query helper is wired into
//! this crate.
//! The contract metadata (target_count, city, state, role, client_id)
//! travels alongside the JSON payload under a `_context` key:
//! `{"_context": {"target_count": 2, "city": "Toledo", "state": "OH",
//! "role": "Welder", "client_id": "CLI-00099"}, "fills": [...]}`.
//! This keeps the Validator trait signature stable while letting the
//! validator cross-check fills against contract truth.
//!
//! Worker-existence + status + geo + blacklist all share a single
//! lookup trait (`WorkerLookup`) so the validator stays decoupled
//! from queryd / parquet / catalogd transport details.
use crate::{Artifact, Report, Validator, ValidationError};
use crate::{
Artifact, Report, Validator, ValidationError, WorkerLookup, WorkerRecord,
};
use std::sync::Arc;
use std::time::Instant;
pub struct FillValidator;
pub struct FillValidator {
workers: Arc<dyn WorkerLookup>,
}
impl FillValidator {
pub fn new(workers: Arc<dyn WorkerLookup>) -> Self {
Self { workers }
}
}
#[derive(Debug, Default)]
struct FillContext {
target_count: Option<usize>,
city: Option<String>,
state: Option<String>,
role: Option<String>,
client_id: Option<String>,
}
fn extract_context(value: &serde_json::Value) -> FillContext {
let ctx_obj = value.get("_context").and_then(|c| c.as_object());
let ctx = match ctx_obj {
Some(o) => o,
None => return FillContext::default(),
};
FillContext {
target_count: ctx.get("target_count").and_then(|v| v.as_u64()).map(|n| n as usize),
city: ctx.get("city").and_then(|v| v.as_str()).map(String::from),
state: ctx.get("state").and_then(|v| v.as_str()).map(String::from),
role: ctx.get("role").and_then(|v| v.as_str()).map(String::from),
client_id: ctx.get("client_id").and_then(|v| v.as_str()).map(String::from),
}
}
fn eq_ci(a: &str, b: &str) -> bool {
a.trim().eq_ignore_ascii_case(b.trim())
}
impl Validator for FillValidator {
fn name(&self) -> &'static str { "staffing.fill" }
@ -31,9 +76,7 @@ impl Validator for FillValidator {
}),
};
// Schema check — the only real validation shipped in this
// scaffold. Catches the common "model emitted prose instead of
// JSON" failure mode before the consistency checks even run.
// ── Schema check ──
let fills = value.get("fills").and_then(|f| f.as_array()).ok_or(
ValidationError::Schema {
field: "fills".into(),
@ -55,12 +98,116 @@ impl Validator for FillValidator {
}
}
// TODO(phase-43 v2): worker-existence / status / geo checks.
// Need a catalog query handle injected into FillValidator's
// constructor — out of scope for the scaffold.
let ctx = extract_context(value);
// ── Completeness: count match ──
if let Some(target) = ctx.target_count {
if fills.len() != target {
return Err(ValidationError::Completeness {
reason: format!(
"endorsed count {} != target_count {target}",
fills.len()
),
});
}
}
// ── Cross-roster checks ──
let mut findings: Vec<crate::Finding> = vec![];
let mut seen_ids = std::collections::HashSet::new();
for (i, fill) in fills.iter().enumerate() {
let candidate_id = fill.get("candidate_id").and_then(|v| v.as_str()).unwrap_or("");
let proposed_name = fill.get("name").and_then(|v| v.as_str()).unwrap_or("");
// Duplicate-ID guard inside one fill.
if !seen_ids.insert(candidate_id.to_string()) {
return Err(ValidationError::Consistency {
reason: format!(
"duplicate candidate_id {candidate_id:?} appears multiple times in fills"
),
});
}
// Worker existence — the gate that catches phantom IDs the
// model fabricates. This is the load-bearing check for
// the 0→85% pattern.
let worker: WorkerRecord = match self.workers.find(candidate_id) {
Some(w) => w,
None => return Err(ValidationError::Consistency {
reason: format!(
"fills[{i}].candidate_id {candidate_id:?} does not exist in worker roster"
),
}),
};
// Status — only "active" workers can be endorsed.
if !eq_ci(&worker.status, "active") {
return Err(ValidationError::Consistency {
reason: format!(
"fills[{i}] worker {candidate_id:?} has status {:?}, expected \"active\"",
worker.status
),
});
}
// Client blacklist.
if let Some(client) = ctx.client_id.as_deref() {
if worker.blacklisted_clients.iter().any(|b| eq_ci(b, client)) {
return Err(ValidationError::Policy {
reason: format!(
"fills[{i}] worker {candidate_id:?} blacklisted for client {client:?}"
),
});
}
}
// Geo / role match — warn-level when missing context, hard
// fail on mismatch with explicit contract values.
if let (Some(want_city), Some(have_city)) = (ctx.city.as_deref(), worker.city.as_deref()) {
if !eq_ci(want_city, have_city) {
return Err(ValidationError::Consistency {
reason: format!(
"fills[{i}] worker {candidate_id:?} city {have_city:?} doesn't match contract city {want_city:?}"
),
});
}
}
if let (Some(want_state), Some(have_state)) = (ctx.state.as_deref(), worker.state.as_deref()) {
if !eq_ci(want_state, have_state) {
return Err(ValidationError::Consistency {
reason: format!(
"fills[{i}] worker {candidate_id:?} state {have_state:?} doesn't match contract state {want_state:?}"
),
});
}
}
if let (Some(want_role), Some(have_role)) = (ctx.role.as_deref(), worker.role.as_deref()) {
if !eq_ci(want_role, have_role) {
return Err(ValidationError::Consistency {
reason: format!(
"fills[{i}] worker {candidate_id:?} role {have_role:?} doesn't match contract role {want_role:?}"
),
});
}
}
// Name-mismatch is a warning, not an error — recruiters
// sometimes send updated names through the proposal layer
// before the roster is updated.
if !proposed_name.is_empty() && !eq_ci(proposed_name, &worker.name) {
findings.push(crate::Finding {
field: format!("fills[{i}].name"),
severity: crate::Severity::Warning,
message: format!(
"proposed name {proposed_name:?} differs from roster name {:?} for {candidate_id:?}",
worker.name
),
});
}
}
Ok(Report {
findings: vec![],
findings,
elapsed_ms: started.elapsed().as_millis() as u64,
})
}
@ -69,35 +216,168 @@ impl Validator for FillValidator {
#[cfg(test)]
mod tests {
use super::*;
use crate::InMemoryWorkerLookup;
use serde_json::json;
fn lookup(records: Vec<WorkerRecord>) -> Arc<dyn WorkerLookup> {
Arc::new(InMemoryWorkerLookup::from_records(records))
}
fn worker(id: &str, name: &str, status: &str, city: &str, state: &str, role: &str) -> WorkerRecord {
WorkerRecord {
candidate_id: id.into(),
name: name.into(),
status: status.into(),
city: Some(city.into()),
state: Some(state.into()),
role: Some(role.into()),
blacklisted_clients: vec![],
}
}
#[test]
fn wrong_artifact_type_fails_schema() {
let r = FillValidator.validate(&Artifact::EmailDraft(serde_json::json!({})));
let v = FillValidator::new(lookup(vec![]));
let r = v.validate(&Artifact::EmailDraft(json!({})));
assert!(matches!(r, Err(ValidationError::Schema { .. })));
}
#[test]
fn missing_fills_array_fails_schema() {
let r = FillValidator.validate(&Artifact::FillProposal(serde_json::json!({})));
let v = FillValidator::new(lookup(vec![]));
let r = v.validate(&Artifact::FillProposal(json!({})));
assert!(matches!(r, Err(ValidationError::Schema { field, .. }) if field == "fills"));
}
#[test]
fn fill_without_candidate_id_fails() {
let r = FillValidator.validate(&Artifact::FillProposal(serde_json::json!({
"fills": [{"name": "Jane"}]
})));
let v = FillValidator::new(lookup(vec![]));
let r = v.validate(&Artifact::FillProposal(json!({"fills": [{"name": "Jane"}]})));
assert!(matches!(r, Err(ValidationError::Schema { field, .. }) if field.contains("candidate_id")));
}
#[test]
fn well_formed_proposal_passes_schema() {
let r = FillValidator.validate(&Artifact::FillProposal(serde_json::json!({
fn well_formed_proposal_with_real_workers_passes() {
let v = FillValidator::new(lookup(vec![
worker("W-1", "Jane Doe", "active", "Toledo", "OH", "Welder"),
worker("W-2", "John Smith", "active", "Toledo", "OH", "Welder"),
]));
let r = v.validate(&Artifact::FillProposal(json!({
"_context": {"target_count": 2, "city": "Toledo", "state": "OH", "role": "Welder"},
"fills": [
{"candidate_id": "W-123", "name": "Jane Doe"},
{"candidate_id": "W-456", "name": "John Smith"}
{"candidate_id": "W-1", "name": "Jane Doe"},
{"candidate_id": "W-2", "name": "John Smith"}
]
})));
assert!(r.is_ok(), "well-formed proposal should pass schema: {:?}", r);
assert!(r.is_ok(), "expected pass, got {:?}", r);
}
#[test]
fn phantom_candidate_id_fails_consistency() {
let v = FillValidator::new(lookup(vec![worker("W-1", "Jane", "active", "Toledo", "OH", "Welder")]));
let r = v.validate(&Artifact::FillProposal(json!({
"_context": {"target_count": 1, "city": "Toledo", "state": "OH", "role": "Welder"},
"fills": [{"candidate_id": "W-FAKE-99999", "name": "Imaginary"}]
})));
match r {
Err(ValidationError::Consistency { reason }) => assert!(reason.contains("does not exist")),
other => panic!("expected Consistency error, got {other:?}"),
}
}
#[test]
fn inactive_worker_fails_consistency() {
let v = FillValidator::new(lookup(vec![worker("W-1", "Jane", "inactive", "Toledo", "OH", "Welder")]));
let r = v.validate(&Artifact::FillProposal(json!({
"_context": {"target_count": 1},
"fills": [{"candidate_id": "W-1", "name": "Jane"}]
})));
match r {
Err(ValidationError::Consistency { reason }) => assert!(reason.contains("inactive")),
other => panic!("expected Consistency error, got {other:?}"),
}
}
#[test]
fn wrong_city_fails_consistency() {
let v = FillValidator::new(lookup(vec![worker("W-1", "Jane", "active", "Cincinnati", "OH", "Welder")]));
let r = v.validate(&Artifact::FillProposal(json!({
"_context": {"target_count": 1, "city": "Toledo", "state": "OH", "role": "Welder"},
"fills": [{"candidate_id": "W-1", "name": "Jane"}]
})));
match r {
Err(ValidationError::Consistency { reason }) => assert!(reason.to_lowercase().contains("city")),
other => panic!("expected Consistency error, got {other:?}"),
}
}
#[test]
fn wrong_role_fails_consistency() {
let v = FillValidator::new(lookup(vec![worker("W-1", "Jane", "active", "Toledo", "OH", "Driver")]));
let r = v.validate(&Artifact::FillProposal(json!({
"_context": {"target_count": 1, "city": "Toledo", "state": "OH", "role": "Welder"},
"fills": [{"candidate_id": "W-1", "name": "Jane"}]
})));
match r {
Err(ValidationError::Consistency { reason }) => assert!(reason.to_lowercase().contains("role")),
other => panic!("expected Consistency error, got {other:?}"),
}
}
#[test]
fn count_mismatch_fails_completeness() {
let v = FillValidator::new(lookup(vec![
worker("W-1", "Jane", "active", "Toledo", "OH", "Welder"),
]));
let r = v.validate(&Artifact::FillProposal(json!({
"_context": {"target_count": 2, "city": "Toledo", "state": "OH", "role": "Welder"},
"fills": [{"candidate_id": "W-1", "name": "Jane"}]
})));
assert!(matches!(r, Err(ValidationError::Completeness { .. })));
}
#[test]
fn duplicate_candidate_id_fails_consistency() {
let v = FillValidator::new(lookup(vec![
worker("W-1", "Jane", "active", "Toledo", "OH", "Welder"),
]));
let r = v.validate(&Artifact::FillProposal(json!({
"_context": {"target_count": 2, "city": "Toledo", "state": "OH", "role": "Welder"},
"fills": [
{"candidate_id": "W-1", "name": "Jane"},
{"candidate_id": "W-1", "name": "Jane"}
]
})));
match r {
Err(ValidationError::Consistency { reason }) => assert!(reason.contains("duplicate")),
other => panic!("expected Consistency error, got {other:?}"),
}
}
#[test]
fn blacklisted_worker_fails_policy() {
let mut w = worker("W-1", "Jane", "active", "Toledo", "OH", "Welder");
w.blacklisted_clients = vec!["CLI-00099".into()];
let v = FillValidator::new(lookup(vec![w]));
let r = v.validate(&Artifact::FillProposal(json!({
"_context": {"target_count": 1, "city": "Toledo", "state": "OH", "role": "Welder", "client_id": "CLI-00099"},
"fills": [{"candidate_id": "W-1", "name": "Jane"}]
})));
assert!(matches!(r, Err(ValidationError::Policy { .. })));
}
#[test]
fn name_mismatch_is_warning_not_error() {
let v = FillValidator::new(lookup(vec![
worker("W-1", "Jane Doe", "active", "Toledo", "OH", "Welder"),
]));
let r = v.validate(&Artifact::FillProposal(json!({
"_context": {"target_count": 1, "city": "Toledo", "state": "OH", "role": "Welder"},
"fills": [{"candidate_id": "W-1", "name": "Janet Doe"}]
})));
let report = r.expect("name mismatch should be warning, not error");
assert_eq!(report.findings.len(), 1);
assert_eq!(report.findings[0].severity, crate::Severity::Warning);
assert!(report.findings[0].message.contains("differs from roster"));
}
}

View File

@ -0,0 +1,81 @@
# Cross-Lineage Auditor Bake-Off — 2026-04-27
Same diff (`HEAD~5..HEAD~2`, 32KB, 3 commits = the kimi-integration work)
audited by three models from three vendor lineages. All three through
the lakehouse gateway, all three with the same `kimi_architect` prompt
template + grounding verification.
## Results
| | Kimi K2.6 (Moonshot) | Haiku 4.5 (Anthropic) | Opus 4.7 (Anthropic) |
|---|---|---|---|
| Provider | ollama_cloud | opencode/Zen | opencode/Zen |
| Latency | 53.7s | **20.5s** | 53.6s |
| Findings | 10 | 9 | 10 |
| Grounded | 10/10 | 9/9 | 10/10 |
| Severity (block/warn/info) | 0 / 9 / 1 | 0 / 5 / 4 | **3 / 5 / 2** |
| Cost | flat-sub (Ollama Pro) | ~$0.02 | ~$0.100.15 |
| Style | Architectural / migration | Boundary / resilience | Escalation / cross-file |
## Severity escalation pattern
Only Opus produced `block`-level findings. Haiku and Kimi described
the same kind of issues as `warn`. This isn't randomness — it's
training. Anthropic's Opus is calibrated to flag merge-stoppers more
confidently than the lighter-weight or different-lineage models.
## What ONLY Opus 4.7 caught
- `parseFindings` rationale regex truncates on inline `**bold**`
inside rationales — neither Haiku nor Kimi noticed
- Cache-by-head-SHA survives `LH_AUDITOR_KIMI_MODEL` env flip
(silently returns old findings under wrong model name)
- Gateway/auditor timeout mismatch: kimi.rs 600s vs auditor curl 900s
## What ALL three caught
- `(ev as any).contractor` schema bypass (3/3)
- Empty-env `Number("")` returns 0 trap (3/3)
- `readFileSync` in async function (3/3)
- mode.rs Rust test compile error (3/3)
Three-lineage consensus = high-confidence load-bearing real bug.
## What only Kimi K2.6 caught
- Schema version bump v1→v2 without explicit migration path
- ISO timestamp precision in run_id derivation
- Multimodal content array passed verbatim to Kimi (would 400)
Kimi favors architectural / API-contract concerns. Useful when the
diff is a refactor rather than a feature.
## What only Haiku 4.5 caught
- `appendMetrics` mkdir target uses `join(path, "..")` not `dirname`
- `KIMI_MODEL` cast in `parseFindings` not validated against type
- Truncation of error messages in callKimi at 300 chars loses context
Haiku favors boundary cases — what happens when assumptions break.
## Cost-vs-quality verdict
| Diff size | Recommended model | Why |
|---|---|---|
| < 100k chars (normal PRs) | Haiku 4.5 | 80% of the same surface, 5x cheaper, 2.6x faster |
| > 100k chars (refactors, multi-file) | Opus 4.7 | Cross-file ramifications + escalation that lighter models miss |
Auto-promotion implemented in `auditor/checks/kimi_architect.ts:74`
via `selectModel(diffLen)`. Threshold env-overridable
(`LH_AUDITOR_KIMI_OPUS_THRESHOLD_CHARS`, default 100000).
## Methodology notes
- Same prompt template, same grounding rules, same input bundle
- Each call cached at `data/_auditor/kimi_verdicts/<pr>-<sha>.json`
- Per-call metrics appended to `data/_kb/kimi_audits.jsonl`
- Wall-clock measured from request POST to response parse
- Cost computed as `prompt_tokens * input_rate + completion_tokens * output_rate`
- `usage.prompt_tokens` underreports through opencode proxy path
(verified ~7k input tokens vs reported 5); cost figures use
observed prompt size rather than reported.

View File

@ -122,9 +122,18 @@ function synthesizeSft(
case "observer_reviews":
instruction = `Observer-review the latest attempt on '${ev.source_files?.[0] ?? "<file>"}'. Verdict: accept | reject | cycle.`;
break;
case "contract_analyses":
instruction = `Analyze contractor '${(ev as any).contractor ?? "<contractor>"}' for permit '${ev.task_id.replace(/^permit:/, "")}'. Recommend with risk markers.`;
case "contract_analyses": {
// Read contractor from the typed metadata bucket (populated in
// transforms.ts for contract_analyses rows). Pre-2026-04-27 this
// used `(ev as any).contractor` and silently emitted "<contractor>"
// for every row because EvidenceRecord didn't carry the field.
const contractor = typeof ev.metadata?.contractor === "string" ? ev.metadata.contractor : null;
const permit = ev.task_id.replace(/^permit:/, "");
instruction = contractor
? `Analyze contractor '${contractor}' for permit '${permit}'. Recommend with risk markers.`
: `Analyze permit '${permit}'. Recommend with risk markers.`;
break;
}
case "outcomes":
instruction = `Run scenario; report per-event outcome with citations.`;
break;

View File

@ -451,7 +451,7 @@ export function buildDrift(current: RunSummary, prior: RunSummary | null): Drift
delta_accepted: cur.accepted,
delta_quarantined: cur.quarantined,
pct_change_out: null,
input_hash_match: false,
input_hash_match: null, // no prior stage to compare
output_hash_match: false,
deterministic_violation: false,
notes: ["stage not present in prior run"],
@ -461,12 +461,12 @@ export function buildDrift(current: RunSummary, prior: RunSummary | null): Drift
}
const pct = pctChange(pri.records_out, cur.records_out);
const out_match = pri.output_hash === cur.output_hash;
const inp_match = (current.stages.find(s => s.stage === cur.stage)?.output_hash ?? "")
!== "" /* placeholder */;
// We have output_hash on stage summaries but not input_hash —
// input_hash lives on the full StageReceipt, which we can re-read
// from the run dir if needed. For simplicity, drift compares the
// OUTPUT hashes (what really changed).
// input_hash is NOT materialized into stage summaries (lives on the
// per-stage StageReceipt files on disk). We don't load them here, so
// we honestly report null. Schema v2 makes this explicit; v1 returned
// `true` unconditionally which made deterministic_violation always
// false even when it should have alerted. Cross-run determinism
// enforcement is its own pass — see ./scripts/distill audit-full.
const notes: string[] = [];
if (pct !== null && Math.abs(pct) > DRIFT_THRESHOLD_PCT) {
const dir = pct > 0 ? "spike" : "drop";
@ -492,9 +492,9 @@ export function buildDrift(current: RunSummary, prior: RunSummary | null): Drift
delta_accepted: cur.accepted - pri.accepted,
delta_quarantined: cur.quarantined - pri.quarantined,
pct_change_out: pct,
input_hash_match: true, // simplified — see comment above
input_hash_match: null, // not computed at this layer; see comment above
output_hash_match: out_match,
deterministic_violation: false, // requires input_hash match, see future tightening
deterministic_violation: false, // requires input_hash match — null means "unknown", not "verified"
notes,
});
}

View File

@ -375,7 +375,12 @@ export async function replay(opts: ReplayRequest, root = DEFAULT_ROOT): Promise<
}
}
const recorded_run_id = `replay:${task_hash.slice(0, 16)}:${Date.now()}`;
// Stable derivation from task_hash + recorded_at (already an ISO
// timestamp captured at start of the call). Avoids a second wall-clock
// read and makes run_id reproducible given a fixed recorded_at — useful
// for fixture-driven tests + acceptance gates. Replaces Date.now()-based
// id post-Kimi-audit 2026-04-27.
const recorded_run_id = `replay:${task_hash.slice(0, 16)}:${(await canonicalSha256(recorded_at)).slice(0, 12)}`;
const result: ReplayResult = {
input_task: opts.task,
task_hash,

View File

@ -86,6 +86,17 @@ function gitDirty(root: string): boolean {
return r.status === 0 && r.stdout.trim().length > 0;
}
// Composite dedup key — `sig_hash:scorer_version`. Keying on sig_hash
// alone made scorer-rule bumps invisible: a bumped SCORER_VERSION
// produced different scoring categories, but pre-existing rows on disk
// (with the OLD version) still matched the new sig_hash and the new
// scoring was silently skipped. Compositing version forces re-scoring
// when the version changes. Caller tags `scorer_version` on the
// ScoredRun row, which we read alongside sig_hash.
function dedupKey(sig_hash: string, scorer_version: string): string {
return `${sig_hash}:${scorer_version}`;
}
function loadSeenHashes(out_path: string): Set<string> {
const seen = new Set<string>();
if (!existsSync(out_path)) return seen;
@ -93,7 +104,9 @@ function loadSeenHashes(out_path: string): Set<string> {
if (!line) continue;
try {
const row = JSON.parse(line);
if (row?.provenance?.sig_hash) seen.add(row.provenance.sig_hash);
const sh = row?.provenance?.sig_hash;
const sv = row?.scorer_version;
if (sh && sv) seen.add(dedupKey(sh, sv));
} catch { /* malformed — ignore */ }
}
return seen;
@ -156,11 +169,12 @@ async function processEvidenceFile(
}
const scored = await buildScoredRun(ev.value as EvidenceRecord, out_relpath, i, opts.recorded_at);
if (seen.has(scored.provenance.sig_hash)) {
const key = dedupKey(scored.provenance.sig_hash, scored.scorer_version);
if (seen.has(key)) {
result.rows_deduped++;
continue;
}
seen.add(scored.provenance.sig_hash);
seen.add(key);
const sv = validateScoredRun(scored);
if (!sv.valid) {

View File

@ -27,7 +27,11 @@ import type { ScoreCategory, ScoredRun } from "../../auditor/schemas/distillatio
import { SCORED_RUN_SCHEMA_VERSION } from "../../auditor/schemas/distillation/scored_run";
import { canonicalSha256 } from "../../auditor/schemas/distillation/types";
export const SCORER_VERSION = process.env.LH_SCORER_VERSION ?? "v1.0.0";
// Hardcoded — the deterministic-output contract requires this. Bump the
// literal in the same commit as any scoring-rule change so the version
// stamp moves atomically with logic. Env override removed 2026-04-27
// after Kimi audit flagged identical-input-different-version drift.
export const SCORER_VERSION = "v1.0.0";
export interface ScoreOutput {
category: ScoreCategory;

View File

@ -100,6 +100,9 @@ export const TRANSFORMS: TransformDef[] = [
cost_usd: typeof row.cost === "number" ? row.cost / 1_000_000 : undefined,
latency_ms: row.duration_ms,
text: row.analysis,
metadata: typeof row.contractor === "string" && row.contractor.length > 0
? { contractor: row.contractor }
: undefined,
}),
},
{
@ -178,7 +181,11 @@ export const TRANSFORMS: TransformDef[] = [
// even though the text field is empty.
source_file_relpath: "data/_kb/auto_apply.jsonl",
transform: ({ row, line_offset, source_file_relpath, recorded_at, sig_hash }) => {
const ts: string = row.ts ?? new Date().toISOString();
// Deterministic fallback: use the source-file's recorded_at when
// the row itself lacks a ts. Wall-clock (new Date()) leaked here
// pre-2026-04-27 — broke bit-identical reproducibility on rows
// that historically wrote without a ts field.
const ts: string = row.ts ?? recorded_at;
const action = String(row.action ?? "unknown");
const success = action === "committed";
const reverted = action.includes("reverted");

View File

@ -113,10 +113,17 @@ const TARGET_FILES: string[] = process.env.LH_SCRUM_FILES
// strategy. Kimi K2.6, Gemini, free-tier, local fallback, etc. were
// removed — they're available as routable tools later (mode router)
// but not as automatic fallbacks.
const LADDER: Array<{ provider: "ollama" | "ollama_cloud" | "openrouter"; model: string; note: string }> = [
const LADDER: Array<{ provider: "ollama" | "ollama_cloud" | "openrouter" | "kimi"; model: string; note: string }> = [
{ provider: "openrouter", model: "x-ai/grok-4.1-fast", note: "PRIMARY · Grok 4.1 fast · $0.20/$0.50 · 2M ctx · single-model strategy" },
{ provider: "openrouter", model: "deepseek/deepseek-v4-flash", note: "FALLBACK on provider error · DeepSeek V4 flash · $0.14/$0.28 · 1M ctx" },
{ provider: "openrouter", model: "qwen/qwen3-235b-a22b-2507", note: "LAST FALLBACK on provider error · Qwen3 235B · $0.07/$0.10 · 262K" },
// kimi/kimi-for-coding (api.kimi.com) is wired through the gateway
// but NOT in the auto-ladder. The endpoint is gated to specific
// approved coding-agent User-Agents (Claude Code, Kimi CLI, Roo Code,
// Kilo Code). Spoofing a User-Agent works technically but Moonshot's
// TOS marks it as grounds for membership suspension. Use Kimi via a
// sanctioned client (Claude Code subagent / Kimi CLI), not via this
// unattended scrum loop.
// Dropped from the ladder after 2026-04-24 probe:
// - kimi-k2.6 — not available on current tier (empty response)
// - devstral-2:123b — displaced by qwen3-coder:480b (better coding specialist)
@ -738,7 +745,7 @@ async function lookupSignalClass(filePath: string): Promise<string | null> {
}
async function chat(opts: {
provider: "ollama" | "ollama_cloud",
provider: "ollama" | "ollama_cloud" | "openrouter" | "kimi",
model: string,
prompt: string,
max_tokens?: number,