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>
289 lines
11 KiB
TypeScript
289 lines
11 KiB
TypeScript
// Kimi-architect check — second-pass senior architectural review using
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// kimi-for-coding (Kimi K2.6) via /v1/chat provider=kimi.
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//
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// Runs AFTER the deepseek inference check (N=3 consensus) and the
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// static/kb_query checks. Reads their findings as context and asks Kimi
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// "what did everyone else miss?" — complementing the cheap-consensus
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// voting with a sparse senior pass that catches load-bearing issues
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// (compile errors, false telemetry, schema bypasses, etc.) which the
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// voting structure can't see.
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//
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// Why Kimi here and not in the inner inference loop:
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// - Cost: ~3min wall-clock per call vs ~30s for deepseek consensus.
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// - TOS: api.kimi.com is User-Agent-gated (see crates/gateway/src/v1/
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// kimi.rs); cost-bounded calls only.
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// - Value: experiment 2026-04-27 showed 7/7 grounding rate with full
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// files vs ~50% on truncated input. Best as a sparse complement, not
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// a replacement.
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//
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// Failure-isolated: any Kimi error returns a single info-level Finding
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// "kimi_architect skipped — <reason>" so the existing audit pipeline
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// is never blocked by a Kimi outage / TOS revocation / 429.
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//
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// Cost cap: if a kimi_verdicts/<pr>-<sha>.json file exists less than 24h
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// old, return cached findings without calling upstream. New commits
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// produce new SHAs so this is per-head, not per-day.
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//
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// Off by default: caller checks LH_AUDITOR_KIMI=1 before invoking.
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import { readFile, writeFile, mkdir, appendFile, stat } from "node:fs/promises";
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import { existsSync, readFileSync } from "node:fs";
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import { join, resolve } from "node:path";
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import type { Finding, CheckKind } from "../types.ts";
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const GATEWAY = process.env.LH_GATEWAY_URL ?? "http://localhost:3100";
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const KIMI_VERDICTS_DIR = "/home/profit/lakehouse/data/_auditor/kimi_verdicts";
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const KIMI_AUDITS_JSONL = "/home/profit/lakehouse/data/_kb/kimi_audits.jsonl";
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const REPO_ROOT = "/home/profit/lakehouse";
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const CALL_TIMEOUT_MS = 360_000; // 6min — kimi reasoning + audit prompt
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const CACHE_TTL_MS = 24 * 60 * 60 * 1000;
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const MAX_DIFF_CHARS = 180_000;
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const MAX_PRIOR_FINDINGS = 50;
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const KIMI_MODEL = process.env.LH_AUDITOR_KIMI_MODEL ?? "kimi-for-coding";
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const MAX_TOKENS = Number(process.env.LH_AUDITOR_KIMI_MAX_TOKENS ?? 12_000);
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export interface KimiArchitectContext {
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pr_number: number;
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head_sha: string;
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}
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interface KimiVerdictFile {
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pr_number: number;
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head_sha: string;
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cached_at: string;
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model: string;
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latency_ms: number;
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finish_reason: string;
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usage: { prompt_tokens: number; completion_tokens: number; total_tokens: number };
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raw_content: string;
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findings: Finding[];
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grounding: { total: number; verified: number; rate: number };
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}
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export async function runKimiArchitectCheck(
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diff: string,
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priorFindings: Finding[],
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ctx: KimiArchitectContext,
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): Promise<Finding[]> {
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const cachePath = join(KIMI_VERDICTS_DIR, `${ctx.pr_number}-${ctx.head_sha.slice(0, 12)}.json`);
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// Cost cap — return cached findings if a verdict for this exact head
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// SHA was generated within the TTL.
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const cached = await loadCachedVerdict(cachePath);
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if (cached) {
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const fs2: Finding[] = cached.findings.length > 0
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? cached.findings
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: [{ check: "kimi_architect" as CheckKind, severity: "info", summary: "kimi_architect cached — 0 findings", evidence: [`cache: ${cachePath}`] }];
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return fs2;
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}
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let response: { content: string; usage: any; finish_reason: string; latency_ms: number };
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try {
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response = await callKimi(buildPrompt(diff, priorFindings, ctx));
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} catch (e) {
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return [skipFinding(`kimi call failed: ${(e as Error).message.slice(0, 200)}`)];
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}
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const findings = parseFindings(response.content);
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const grounding = await computeGrounding(findings);
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const verdict: KimiVerdictFile = {
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pr_number: ctx.pr_number,
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head_sha: ctx.head_sha,
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cached_at: new Date().toISOString(),
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model: KIMI_MODEL,
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latency_ms: response.latency_ms,
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finish_reason: response.finish_reason,
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usage: {
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prompt_tokens: response.usage?.prompt_tokens ?? 0,
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completion_tokens: response.usage?.completion_tokens ?? 0,
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total_tokens: response.usage?.total_tokens ?? 0,
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},
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raw_content: response.content,
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findings,
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grounding,
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};
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await persistVerdict(cachePath, verdict);
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await appendMetrics(verdict);
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return findings.length > 0
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? findings
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: [{
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check: "kimi_architect" as CheckKind,
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severity: "info",
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summary: `kimi_architect produced 0 ranked findings (${response.finish_reason}, ${verdict.usage.completion_tokens} tokens)`,
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evidence: [`raw response: ${cachePath}`],
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}];
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}
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async function loadCachedVerdict(path: string): Promise<KimiVerdictFile | null> {
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if (!existsSync(path)) return null;
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try {
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const s = await stat(path);
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if (Date.now() - s.mtimeMs > CACHE_TTL_MS) return null;
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return JSON.parse(await readFile(path, "utf8")) as KimiVerdictFile;
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} catch { return null; }
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}
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function buildPrompt(diff: string, priorFindings: Finding[], ctx: KimiArchitectContext): string {
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const truncatedDiff = diff.length > MAX_DIFF_CHARS
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? diff.slice(0, MAX_DIFF_CHARS) + `\n\n... [truncated; original diff was ${diff.length} chars]`
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: diff;
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const priorBlock = priorFindings
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.filter(f => f.severity !== "info")
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.slice(0, MAX_PRIOR_FINDINGS)
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.map(f => `- [${f.check}/${f.severity}] ${f.summary}${f.evidence?.[0] ? ` — ${f.evidence[0].slice(0, 160)}` : ""}`)
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.join("\n");
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return `You are a senior software architect doing a second-pass review on PR #${ctx.pr_number} (head ${ctx.head_sha.slice(0, 12)}). The team's automated auditor (deepseek-v3.1:671b, N=3 consensus) already produced findings. Your job is NOT to repeat what they found — your job is to catch what their voting structure CAN'T see: compile errors, type-system bypasses, false telemetry, silent determinism leaks, schema-bypass anti-patterns, load-bearing assumptions that look fine line-by-line.
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GROUNDING RULES (non-negotiable):
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- Cite file:line for EVERY finding. Lines you cite must actually contain what you claim. Confabulating a finding wastes more time than missing one.
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- If the diff is truncated and you can't verify a claim, say "diff-truncated, can't verify" — DO NOT guess.
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- Distinguish architectural concerns (no specific line) from concrete bugs (specific line). Don't dress one as the other.
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PRIOR FINDINGS FROM DEEPSEEK CONSENSUS (do not repeat these):
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${priorBlock || "(none)"}
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OUTPUT FORMAT (markdown):
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- ## Verdict (one sentence)
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- ## Findings (5-10 items, each formatted EXACTLY as below)
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For each finding use this exact shape so a parser can lift them:
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### F1: <one-line summary>
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- **Severity:** block | warn | info
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- **File:** path/to/file.ext:LINE
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- **Rationale:** one or two sentences
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THE DIFF:
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${truncatedDiff}
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`;
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}
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async function callKimi(prompt: string): Promise<{ content: string; usage: any; finish_reason: string; latency_ms: number }> {
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const t0 = Date.now();
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const ctrl = new AbortController();
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const timer = setTimeout(() => ctrl.abort(), CALL_TIMEOUT_MS);
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try {
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const r = await fetch(`${GATEWAY}/v1/chat`, {
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method: "POST",
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headers: { "content-type": "application/json" },
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body: JSON.stringify({
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provider: "kimi",
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model: KIMI_MODEL,
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messages: [{ role: "user", content: prompt }],
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max_tokens: MAX_TOKENS,
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temperature: 0.2,
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}),
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signal: ctrl.signal,
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});
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if (!r.ok) {
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const body = await r.text();
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throw new Error(`/v1/chat ${r.status}: ${body.slice(0, 300)}`);
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}
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const j: any = await r.json();
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return {
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content: j.choices?.[0]?.message?.content ?? "",
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usage: j.usage ?? {},
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finish_reason: j.choices?.[0]?.finish_reason ?? "unknown",
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latency_ms: Date.now() - t0,
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};
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} finally { clearTimeout(timer); }
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}
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// Parse Kimi's markdown into Finding[]. Format expected (per buildPrompt):
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// ### F<N>: <summary>
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// - **Severity:** block | warn | info
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// - **File:** path:line
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// - **Rationale:** ...
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function parseFindings(content: string): Finding[] {
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const findings: Finding[] = [];
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const blocks = content.split(/^###\s+F\d+:\s*/m).slice(1);
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for (const block of blocks) {
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const summary = (block.split("\n")[0] ?? "").trim();
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if (!summary) continue;
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const sev = /\*\*Severity:\*\*\s*(block|warn|info)/i.exec(block)?.[1]?.toLowerCase();
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const fileLine = /\*\*File:\*\*\s*(\S+)/i.exec(block)?.[1] ?? "unknown";
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const rationale = /\*\*Rationale:\*\*\s*([\s\S]+?)(?=\n###|\n\*\*|$)/i.exec(block)?.[1]?.trim() ?? "";
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const severity: Finding["severity"] = sev === "block" ? "block" : sev === "warn" ? "warn" : "info";
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findings.push({
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check: "kimi_architect" as CheckKind,
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severity,
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summary: summary.slice(0, 240),
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evidence: [fileLine, rationale.slice(0, 360)].filter(Boolean),
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});
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}
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return findings;
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}
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// For each finding's cited file:line, grep the actual file to verify
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// the line exists. Returns total + verified counts; per-finding metadata
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// is appended into the evidence array so the reader can see which
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// citations were verified.
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async function computeGrounding(findings: Finding[]): Promise<{ total: number; verified: number; rate: number }> {
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let verified = 0;
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for (const f of findings) {
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const cite = f.evidence[0] ?? "";
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const m = /^(\S+?):(\d+)/.exec(cite);
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if (!m) continue;
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const [, relpath, lineStr] = m;
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const line = Number(lineStr);
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if (!line || !relpath) continue;
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const abs = relpath.startsWith("/") ? relpath : resolve(REPO_ROOT, relpath);
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if (!existsSync(abs)) {
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f.evidence.push("[grounding: file not found]");
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continue;
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}
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try {
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const lines = readFileSync(abs, "utf8").split("\n");
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if (line < 1 || line > lines.length) {
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f.evidence.push(`[grounding: line ${line} > EOF (${lines.length})]`);
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continue;
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}
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f.evidence.push(`[grounding: verified at ${relpath}:${line}]`);
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verified++;
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} catch (e) {
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f.evidence.push(`[grounding: read failed: ${(e as Error).message.slice(0, 80)}]`);
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}
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}
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const total = findings.length;
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return { total, verified, rate: total === 0 ? 0 : verified / total };
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}
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async function persistVerdict(path: string, v: KimiVerdictFile): Promise<void> {
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await mkdir(KIMI_VERDICTS_DIR, { recursive: true });
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await writeFile(path, JSON.stringify(v, null, 2));
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}
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async function appendMetrics(v: KimiVerdictFile): Promise<void> {
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await mkdir(join(KIMI_AUDITS_JSONL, ".."), { recursive: true });
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await appendFile(KIMI_AUDITS_JSONL, JSON.stringify({
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pr_number: v.pr_number,
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head_sha: v.head_sha,
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audited_at: v.cached_at,
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model: v.model,
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latency_ms: v.latency_ms,
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finish_reason: v.finish_reason,
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prompt_tokens: v.usage.prompt_tokens,
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completion_tokens: v.usage.completion_tokens,
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findings_total: v.findings.length,
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findings_block: v.findings.filter(f => f.severity === "block").length,
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findings_warn: v.findings.filter(f => f.severity === "warn").length,
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grounding_verified: v.grounding.verified,
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grounding_rate: Number(v.grounding.rate.toFixed(3)),
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}) + "\n");
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}
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function skipFinding(why: string): Finding {
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return {
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check: "kimi_architect" as CheckKind,
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severity: "info",
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summary: `kimi_architect skipped — ${why}`,
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evidence: [why],
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};
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}
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