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>
Lakehouse Claim Auditor
A Bun sub-agent that watches open PRs on Gitea, reads the ship-claims in commit messages and PR bodies, and hard-blocks merges when the code doesn't back the claim.
Rationale: when "compiles + one curl works" gets called "phase shipped," placeholder code accumulates. This auditor runs every 90s, fetches each open PR, and subjects it to four checks:
- Static diff — grep/parse looking for placeholder patterns
- Dynamic — runs the never-before-executed hybrid test fixture
- Cloud inference — asks
gpt-oss:120bvia/v1/chatto identify gaps in the diff - KB query — looks up
data/_kb/+ observer for prior failure patterns on similar claims
Verdict is assembled, posted to Gitea as:
- A failing commit status (hard block — branch protection prevents merge)
- A review comment explaining every finding
Run manually
cd /home/profit/lakehouse
bun run auditor/index.ts
Defaults: polls every 90s, stops on auditor.paused file present.
State
data/_auditor/state.json— last-audited head SHA per PRdata/_auditor/verdicts/{pr}-{sha}.json— per-run verdict recorddata/_kb/audit_lessons.jsonl— one row per block/warn finding, path-agnostic signature for dedup. Tailed by kb_query on each audit to surface recurring patterns (2+ distinct PRs with same signature → info, 3-4 → warn, 5+ → block). This is how the auditor learns.data/_kb/scrum_reviews.jsonl— scrum-master per-file reviews. If a file in the current PR has been scrum-reviewed, kb_query surfaces the review as a finding with the accepted model and attempt count.
Where YOU edit
auditor/policy.ts — the verdict assembler. Controls which findings
block vs warn vs inform. All other code is mechanical: fetching,
running checks, posting to Gitea.
Hard-block mechanism
- Commit status is posted as
failurewith contextlakehouse/auditor - If
mainbranch protection requireslakehouse/auditorstatus to pass, Gitea prevents merge - When code is fixed and re-audit passes, status flips to
success, merge unblocks
Enable branch protection (one-time, via Gitea UI or API):
POST /repos/profit/lakehouse/branch_protections{"branch_name": "main", "required_status_checks": {"contexts": ["lakehouse/auditor"]}}