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
..

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:

  1. Static diff — grep/parse looking for placeholder patterns
  2. Dynamic — runs the never-before-executed hybrid test fixture
  3. Cloud inference — asks gpt-oss:120b via /v1/chat to identify gaps in the diff
  4. 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 PR
  • data/_auditor/verdicts/{pr}-{sha}.json — per-run verdict record
  • data/_kb/audit_lessons.jsonl — one row per block/warn finding, path-agnostic signature for dedup. Tailed by kb_query on each audit to surface recurring patterns (2+ distinct PRs with same signature → info, 3-4 → warn, 5+ → block). This is how the auditor learns.
  • data/_kb/scrum_reviews.jsonl — scrum-master per-file reviews. If a file in the current PR has been scrum-reviewed, kb_query surfaces the review as a finding with the accepted model and attempt count.

Where YOU edit

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

  1. Commit status is posted as failure with context lakehouse/auditor
  2. If main branch protection requires lakehouse/auditor status to pass, Gitea prevents merge
  3. 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"]}}