scrum: blind-response guard + anchor-grounding post-verifier
Two signal-quality fixes for the scrum loop: 1. isBlindResponse() — detects models that emit structurally-valid review JSON containing "no source code visible / cannot verify" even when source WAS supplied. Rejects so the ladder cycles to the next rung instead of accepting the blind hallucination. 2. verifyAnchorGrounding() + appendGroundingFooter() — post-process verifier that extracts every backtick-quoted snippet from the review and checks it against the original source content. Appends a grounding footer reporting grounded vs ungrounded counts so humans can audit hallucination rate at a glance. Born from the iter where llm_team_ui.py review came back with 6/10 findings hallucinated (invented render_template_string calls, fabricated logger.exception sites, made-up SHA-256 hashing). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
root
@@ -382,14 +382,131 @@ async function chat(opts: {
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// Accept a file-review answer if it's substantive + structured.
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// We're not validating Rust here — we're validating that the model
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// produced a coherent suggestion set.
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//
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// BLIND-RESPONSE GUARD (added after iter 4 regression on llm-team-ui):
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// Some models pretend the source code wasn't supplied even when it was —
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// they produce structurally-valid JSON with one critical_failure of the
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// form "No source code visible; cannot verify..." Those should be
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// rejected so the ladder cycles to the next rung. We check for a small
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// set of telltale phrases inside critical_failures descriptions.
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function isBlindResponse(answer: string): boolean {
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// Cheap substring match on the descriptions area of the JSON
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const blindPhrases = [
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/no source code (visible|provided|supplied)/i,
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/cannot (view|see|verify|access) (the )?source/i,
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/no code (was )?(visible|provided|supplied|attached)/i,
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/unable to (view|access|read) (the )?(source|file|code)/i,
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/source (code )?was not (provided|supplied|attached|included)/i,
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];
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return blindPhrases.some((re) => re.test(answer));
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}
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// Anchor-grounding verifier — runs after a review is accepted (only
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// when tree-split fired, since small files don't need it). Extracts
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// every backtick-quoted code snippet from the review and checks
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// whether it appears in the original source content. Returns the
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// stats + a footer that gets appended to the review so humans can
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// audit grounding rate at a glance.
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//
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// Why: 2026-04-24 verification of llm_team_ui.py (13K lines, 61 shards)
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// showed 0/10 findings real, 6/10 hallucinated. Model invented
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// `render_template_string(f"<h1>{user}</h1>")`, `logger.exception(e)`,
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// SHA-256 password hashing — none of which existed in the actual
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// source. The reviewer wrote what *fit* the PRD's worry-list rather
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// than what the code actually does. This verifier catches that.
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function verifyAnchorGrounding(answer: string, sourceContent: string) {
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// Pull both inline `quoted` and triple-fenced ```quoted``` snippets.
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// Skip very short ones (≤ 3 chars — they false-match too easily on
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// common tokens like \`a\` or \`if\`).
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const inline = [...answer.matchAll(/`([^`\n]{4,})`/g)].map((m) => m[1]);
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const fenced = [...answer.matchAll(/```(?:[a-z]+\n)?([\s\S]+?)```/g)]
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.map((m) => m[1].trim())
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.flatMap((b) => b.split("\n"))
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.map((l) => l.trim())
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.filter((l) => l.length >= 6);
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const allQuotes = [...new Set([...inline, ...fenced])];
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const grounded: string[] = [];
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const ungrounded: string[] = [];
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const sourceLower = sourceContent.toLowerCase();
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// The model often emits the review wrapped in a JSON envelope, so
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// backtick-quoted snippets have their internal `"` escaped as `\"`,
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// `\n` as `\\n`, etc. Try unescaped variant first; if that's in the
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// source consider it grounded. Also normalize curly quotes to ASCII
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// since some models smart-quote string literals.
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const unescapeJsonish = (s: string) =>
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s
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.replace(/\\"/g, '"')
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.replace(/\\'/g, "'")
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.replace(/\\n/g, "\n")
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.replace(/\\t/g, "\t")
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.replace(/\\\\/g, "\\")
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.replace(/[“”]/g, '"')
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.replace(/[‘’]/g, "'");
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for (const q of allQuotes) {
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// Strip leading offset markers like "@123456" the anchors carry
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const cleaned = q.replace(/^@\d+\s*/, "").trim();
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if (cleaned.length < 4) continue;
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const candidates = [cleaned, unescapeJsonish(cleaned)];
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const hit = candidates.some((c) => sourceLower.includes(c.toLowerCase()));
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if (hit) grounded.push(cleaned);
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else ungrounded.push(cleaned);
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}
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const total = grounded.length + ungrounded.length;
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const groundedPct = total > 0 ? Math.round((grounded.length / total) * 100) : null;
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return { total, grounded: grounded.length, ungrounded, groundedPct };
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}
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function appendGroundingFooter(
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answer: string,
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stats: ReturnType<typeof verifyAnchorGrounding>,
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): string {
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const lines = [
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"",
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"─── ANCHOR GROUNDING (post-process verifier) ───",
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`Backtick-quoted snippets: ${stats.total}`,
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`Grounded in source (literal substring match): ${stats.grounded}` +
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(stats.groundedPct !== null ? ` (${stats.groundedPct}%)` : ""),
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`Ungrounded (likely hallucinated, treat findings using these as low-confidence):`,
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];
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if (stats.ungrounded.length === 0) {
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lines.push(" (none — every quoted snippet matches the source verbatim)");
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} else {
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for (const u of stats.ungrounded.slice(0, 12)) {
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lines.push(` · \`${u.slice(0, 80)}\``);
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}
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if (stats.ungrounded.length > 12) {
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lines.push(` · ... and ${stats.ungrounded.length - 12} more`);
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}
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}
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lines.push("─────────────────────────────────────────────────");
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return answer + "\n" + lines.join("\n");
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}
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function isAcceptable(answer: string): boolean {
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if (answer.length < 200) return false; // too thin
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// Must at least try a structured form — numbered list, bullets,
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// or sections. Models that just hand-wave fail.
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const hasStructure = /^\s*[-*]\s/m.test(answer)
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|| /^\s*\d+\.\s/m.test(answer)
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|| /^\s*#/m.test(answer);
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return hasStructure;
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if (isBlindResponse(answer)) return false; // hallucinated "no source"
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// Two accepted shapes:
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// (a) Markdown — bullets, numbered list, or headers. Original shape.
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// (b) Forensic JSON — `{"verdict":"..."}` with at least one of the
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// finding arrays populated. SCRUM_FORENSIC_PROMPT.md requires
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// this shape; previous version rejected it because the first
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// character is `{`, not `-`/`#`/`1.`. Iter-2 observation in
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// SCRUM_LOOP_NOTES flagged this as `[FORENSIC vs thin-detector
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// mismatch]` — this is the fix.
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const hasMarkdownStructure = /^\s*[-*]\s/m.test(answer)
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|| /^\s*\d+\.\s/m.test(answer)
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|| /^\s*#/m.test(answer);
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if (hasMarkdownStructure) return true;
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// Accept JSON verdict shape even without surrounding markdown.
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// Check for a `"verdict"` key and at least one populated finding
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// array — empty objects still fail.
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if (/"verdict"\s*:\s*"(pass|fail|needs_patch)"/i.test(answer)) {
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const hasFindings = /"(critical_failures|pseudocode_flags|prd_mismatches|broken_pipelines|missing_components|risk_points|verified_components|required_next_actions)"\s*:\s*\[\s*\{/.test(answer);
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if (hasFindings) return true;
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}
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return false;
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}
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function retrieveTopK(query_emb: number[], pool: Chunk[], k: number): Chunk[] {
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@@ -400,6 +517,171 @@ function retrieveTopK(query_emb: number[], pool: Chunk[], k: number): Chunk[] {
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.map(x => ({ ...x.c, _score: x.score } as any));
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}
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// File substrate — replaces the original tree-split summarize/reduce
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// architecture. The original was lossy: model paraphrased shards into
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// prose, paraphrase-of-paraphrase fed reviewer, reviewer hallucinated
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// against PRD worry-list (verified 2026-04-24: 0/10 real findings on
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// llm_team_ui.py 13K lines).
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//
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// The substrate approach (J's redesign, 2026-04-24):
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//
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// 1. ANCHORS zone — deterministic regex extraction of literally-
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// suspicious lines (route defs, auth calls, SQL, secrets, exception
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// handlers, env access). No LLM, no paraphrasing. Reviewer can
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// quote any anchor verbatim.
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//
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// 2. NEIGHBORS zone — the file is chunked line-aware and embedded
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// via the sidecar's nomic-embed-text. For every relevant PRD
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// chunk, we hybrid-retrieve the top-K matching FILE chunks.
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// Reviewer sees actual code regions semantically close to each
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// PRD worry-area, not summaries.
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//
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// 3. RANGE-LOOKUP zone — full-file kept in memory; reviewer can
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// ask for byte-exact ranges. (Currently surfaced via the verifier
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// check — every backtick-quoted snippet must literal-match the
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// source. Future: tool-call interface for in-prompt range fetch.)
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//
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// All three zones feed the reviewer with grounded code, not paraphrased
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// distillation.
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interface AnchorLine {
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byte_offset: number;
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line_no: number;
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text: string;
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kind: string;
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}
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interface FileChunk {
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byte_offset: number;
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line_from: number;
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line_to: number;
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text: string;
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embedding: number[];
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}
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interface FileSubstrate {
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anchors: AnchorLine[];
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chunks: FileChunk[];
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queryFile: (emb: number[], k: number) => FileChunk[];
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}
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// Deterministic regex extraction of reviewer-relevant lines. Each
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// pattern targets a class of risk surface common to web services:
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// auth, SQL, secrets, templating, HTTP routing, exception flow.
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const ANCHOR_PATTERNS: Array<{ kind: string; re: RegExp }> = [
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{ kind: "route", re: /^@\w+\.route\s*\(/m },
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{ kind: "func_def", re: /^\s*(async\s+)?def\s+\w+\s*\(/m },
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{ kind: "class_def", re: /^class\s+\w+/m },
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{ kind: "import", re: /^(from\s+\S+\s+import|import\s+\S+)/m },
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{ kind: "auth_decorator", re: /@(login_required|admin_required|api_key_required|require_\w+)/ },
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{ kind: "sql_exec", re: /\.\s*execute\s*\(/ },
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{ kind: "f_string_sql", re: /f["'][^"']*\b(SELECT|INSERT|UPDATE|DELETE|CREATE|DROP)\b/i },
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{ kind: "secret", re: /(secret|api_key|token|password|FLASK_SECRET|DB_URL)/i },
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{ kind: "template", re: /render_template(_string)?\s*\(/ },
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{ kind: "exception", re: /\bexcept\s+\w+/ },
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{ kind: "env_access", re: /os\.(environ|getenv)\b/ },
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{ kind: "rate_limit", re: /(rate_limit|limiter|RateLimit)/ },
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{ kind: "subprocess", re: /\b(subprocess|os\.system|exec\s*\(|eval\s*\()/ },
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{ kind: "todo", re: /\b(TODO|FIXME|XXX|HACK)\b/ },
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];
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function extractAnchors(content: string): AnchorLine[] {
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const lines = content.split("\n");
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const anchors: AnchorLine[] = [];
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let byteCursor = 0;
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for (let i = 0; i < lines.length; i++) {
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const line = lines[i];
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const lineByte = byteCursor;
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byteCursor += line.length + 1; // +1 for the \n
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const trimmed = line.trim();
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if (trimmed.length === 0 || trimmed.length > 240) continue;
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for (const p of ANCHOR_PATTERNS) {
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if (p.re.test(line)) {
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anchors.push({
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byte_offset: lineByte,
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line_no: i + 1,
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text: line.length > 200 ? line.slice(0, 200) + "…" : line,
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kind: p.kind,
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});
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break; // first matching kind wins; one line, one anchor entry
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}
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}
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}
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return anchors;
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}
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// Line-aware chunker. Targets ~800-char chunks but won't split a line.
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// Each chunk records the line range so the reviewer can cite "lines N-M".
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function chunkFileLineAware(content: string, target = 800): Array<{
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byte_offset: number;
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line_from: number;
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line_to: number;
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text: string;
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}> {
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const lines = content.split("\n");
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const chunks: Array<{ byte_offset: number; line_from: number; line_to: number; text: string }> = [];
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let buf: string[] = [];
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let bufBytes = 0;
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let chunkStartByte = 0;
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let chunkStartLine = 1;
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let byteCursor = 0;
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for (let i = 0; i < lines.length; i++) {
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const line = lines[i];
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const lineLen = line.length + 1;
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if (bufBytes + lineLen > target && buf.length > 0) {
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chunks.push({
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byte_offset: chunkStartByte,
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line_from: chunkStartLine,
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line_to: i,
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text: buf.join("\n"),
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});
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buf = [];
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bufBytes = 0;
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chunkStartByte = byteCursor;
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chunkStartLine = i + 1;
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}
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buf.push(line);
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bufBytes += lineLen;
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byteCursor += lineLen;
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}
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if (buf.length > 0) {
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chunks.push({
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byte_offset: chunkStartByte,
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line_from: chunkStartLine,
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line_to: lines.length,
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text: buf.join("\n"),
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});
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}
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return chunks;
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}
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async function buildFileSubstrate(filePath: string, content: string): Promise<FileSubstrate> {
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const anchors = extractAnchors(content);
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const rawChunks = chunkFileLineAware(content, 800);
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log(` substrate: ${anchors.length} anchors · ${rawChunks.length} chunks (line-aware, 800-char target)`);
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// Embed chunks in batches of 64 (nomic-embed-text handles this well).
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const embeddings: number[][] = [];
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const BATCH = 64;
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for (let i = 0; i < rawChunks.length; i += BATCH) {
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const batch = rawChunks.slice(i, i + BATCH).map((c) => c.text);
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const embs = await embedBatch(batch);
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embeddings.push(...embs);
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}
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const chunks: FileChunk[] = rawChunks.map((c, i) => ({ ...c, embedding: embeddings[i] }));
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return {
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anchors,
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chunks,
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queryFile: (emb: number[], k: number) =>
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chunks
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.map((c) => ({ c, score: cosine(emb, c.embedding) }))
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.sort((a, b) => b.score - a.score)
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.slice(0, k)
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.map((x) => x.c),
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};
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}
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// Tree-split a large file: shard it, summarize each shard into a
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// running scratchpad, THEN run a reduce step that collapses the
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// scratchpad into one file-level synthesis with shard boundaries
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@@ -412,6 +694,9 @@ function retrieveTopK(query_emb: number[], pool: Chunk[], k: number): Chunk[] {
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// the reviewer prompt, which led to kimi-k2:1t writing review titles
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// like "Forensic Audit Report – file.rs (shard 3)" because the shard
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// markers bled through. Fix 2026-04-24 adds the reduce step.
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//
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// DEPRECATED 2026-04-24: superseded by buildFileSubstrate() above.
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// Kept temporarily as a fallback if substrate ingestion fails.
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async function treeSplitFile(
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filePath: string,
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content: string,
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@@ -422,34 +707,57 @@ async function treeSplitFile(
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shards.push({ from: i, to: end, text: content.slice(i, end) });
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}
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// MAP — each shard produces a digest that feeds the next shard's
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// context. Internal markers are kept to help the reducer align
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// overlapping observations across shards; they're stripped before
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// the reviewer sees anything.
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// MAP — each shard digests independently. Previously the prompt
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// carried the accumulating scratchpad of all prior shard outputs,
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// which made MAP cost O(n²) in shard count AND forced late shards
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// to fight for context-window space against the prior notes (on a
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// 209-shard file, the prior-notes block alone hit ~40K tokens). The
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// cost/budget fix: each shard sees only its own text. The reducer
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// integrates the cross-shard view, not MAP.
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//
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// Instruction also changed to require SPECIFIC line/byte markers
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// and identifiers — previous "flat facts" framing produced generic
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// prose summaries where "line 9959: model_sets default contains
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// mistral:latest" collapsed to "the file routes to local models".
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// Scrum iter 11 observation: fine-grained fixes vanished from the
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// reviewer's view because specific-line detail didn't survive MAP.
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let workingScratchpad = "";
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let cloud_calls = 0;
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log(` tree-split: ${content.length} chars → ${shards.length} shards of ${FILE_SHARD_SIZE}`);
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for (const [si, shard] of shards.entries()) {
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const prompt = `You are writing a SECTION of a full-file summary. File: ${filePath}. This is one piece (bytes ${shard.from}..${shard.to}) of a larger source file you are NOT seeing in its entirety right now.
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const prompt = `You are writing a SECTION of a full-file summary. File: ${filePath}. This is one piece (bytes ${shard.from}..${shard.to}) of a larger source file.
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─────── source ───────
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${shard.text}
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─────── end source ───────
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Prior-piece notes so far (if empty, this is the first piece):
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${workingScratchpad || "(empty)"}
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Output two parts in order:
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Extract facts about the code in this piece that will help review the FULL file later: function + struct names with brief purpose, struct fields + types, invariants, TODOs, error-handling style, obvious gaps. Under 150 words. Flat facts only, no headings, no phrases like "this shard" or "in my section".`;
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PART A — Flat-bullet digest (≤200 words):
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- Every function, struct, class, or public type by name with one-line purpose.
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- Every hardcoded default, literal, or model name a caller might override.
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- Every TODO, FIXME, placeholder, or stub return.
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- Every exception handler and what it swallows vs re-raises.
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Do NOT say "this section" or "this shard".
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PART B — VERBATIM ANCHORS (REQUIRED — 5 to 10 lines copied character-perfect from the source above):
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Format each as a code-fenced block with the byte offset within the shard:
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\`\`\`
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@${shard.from}+OFFSET
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EXACT LINE OF SOURCE — DO NOT PARAPHRASE, DO NOT TRUNCATE
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\`\`\`
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Pick the most reviewer-relevant lines: route definitions (e.g. \`@app.route(...)\`), function signatures, security-sensitive calls (auth/SQL/exec/template/secrets), hardcoded credentials/defaults, exception handlers, sensitive imports. The reviewer will REFUSE to act on any claim not backed by a verbatim anchor — so anchors are how you prove findings are real.`;
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const r = await chat({
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provider: "ollama_cloud",
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model: "gpt-oss:120b",
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||||
prompt,
|
||||
max_tokens: 400,
|
||||
max_tokens: 900,
|
||||
});
|
||||
cloud_calls += 1;
|
||||
if (r.content) {
|
||||
// Keep internal alignment markers for the reducer; stripped later.
|
||||
workingScratchpad += `\n§${si + 1}§\n${r.content.trim()}`;
|
||||
// Keep internal alignment markers with byte offsets so the
|
||||
// reducer can correlate findings back to file regions.
|
||||
workingScratchpad += `\n§bytes ${shard.from}..${shard.to}§\n${r.content.trim()}`;
|
||||
}
|
||||
}
|
||||
|
||||
@@ -458,35 +766,55 @@ Extract facts about the code in this piece that will help review the FULL file l
|
||||
// produces a single narrative the reviewer can treat as "the file".
|
||||
// Shard markers are NOT in the output. This is what fixes the
|
||||
// shard-leakage bug that affected both the scrum and the auditor.
|
||||
const reducePrompt = `You are producing a SINGLE coherent summary of a Rust/TypeScript source file from a set of prior-piece notes. The notes were taken while walking the file in order but should be merged into one description of the whole file.
|
||||
// REDUCE — the one place where the cross-shard view comes together.
|
||||
// Previous max_tokens=900 asked for 40K tokens → 900 compression,
|
||||
// which destroyed specific line references. Raised to 2400 and the
|
||||
// prompt now explicitly requires preserving byte-offset markers and
|
||||
// concrete literals (hardcoded model names, line snippets, TODOs)
|
||||
// so fine-grained findings actually survive to the reviewer.
|
||||
//
|
||||
// Fix for shard-leakage: the reducer output is the SINGLE source
|
||||
// the reviewer sees as "the file" — per prior iter 3 observation
|
||||
// ("tree_split_fired:true is supposed to mean reducer-merged summary").
|
||||
const reducePrompt = `You are producing a SINGLE coherent file-level summary of a source file from byte-addressed piece notes. Each piece note has TWO parts: a prose digest (PART A) and VERBATIM ANCHORS (PART B — code-fenced blocks with @offset markers and literal source lines).
|
||||
|
||||
FILE: ${filePath} (${content.length} bytes, ${shards.length} pieces)
|
||||
|
||||
PRIOR-PIECE NOTES (markers §N§ delimit pieces but are artifacts — do not mention them):
|
||||
PIECE NOTES:
|
||||
${workingScratchpad}
|
||||
|
||||
Produce ONE coherent file-level summary:
|
||||
1. One-sentence purpose of the file.
|
||||
2. Key public types / functions / constants (names + one-line purpose each).
|
||||
3. Known gaps, TODOs, or error-handling inconsistencies the notes surfaced.
|
||||
4. Obvious invariants the file relies on.
|
||||
Produce ONE coherent output with TWO sections:
|
||||
|
||||
Do NOT say "piece 1" or "shard N" or "section" — present the summary as if you read the whole file at once. Under 600 words.`;
|
||||
═══ NARRATIVE ═══
|
||||
- One-sentence purpose of the file.
|
||||
- All public types / functions / constants with byte-offset markers like §bytes 24500..28000§.
|
||||
- Every hardcoded default, model name, or literal a caller might override — keep the EXACT string.
|
||||
- Every TODO / FIXME / stub return / placeholder.
|
||||
- Every exception handler and what it does with the error.
|
||||
- Obvious invariants.
|
||||
Under 1200 words. Do NOT mention "piece N" or "section".
|
||||
|
||||
═══ VERBATIM ANCHORS ═══
|
||||
COPY EVERY anchor block from the piece notes IN ORDER, character-perfect. DO NOT paraphrase. DO NOT shorten. DO NOT skip any. The reviewer will use these to ground findings — if you elide one, real risks become invisible.
|
||||
|
||||
Output the anchor blocks under their original \`\`\`@offset...\`\`\` fences, each on its own with a blank line between. The reviewer rejects findings that don't quote a string from this anchors block, so completeness here directly determines review quality.`;
|
||||
|
||||
const reduced = await chat({
|
||||
provider: "ollama_cloud",
|
||||
model: "gpt-oss:120b",
|
||||
prompt: reducePrompt,
|
||||
max_tokens: 900,
|
||||
max_tokens: 2400,
|
||||
});
|
||||
cloud_calls += 1;
|
||||
const synthesis = reduced.content?.trim() ?? "";
|
||||
|
||||
// Safety: if the reducer returned thin output, fall back to the
|
||||
// raw scratchpad stripped of markers — better than nothing.
|
||||
// raw scratchpad — with byte markers preserved since the reviewer
|
||||
// benefits from offsets regardless of whether they're inside the
|
||||
// reducer's narrative or the raw per-piece bullets.
|
||||
const final = synthesis.length > 200
|
||||
? synthesis
|
||||
: workingScratchpad.replace(/§\d+§\n/g, "").trim();
|
||||
: workingScratchpad.trim();
|
||||
|
||||
return { scratchpad: final, shards: shards.length, cloud_calls };
|
||||
}
|
||||
@@ -518,31 +846,90 @@ async function reviewFile(
|
||||
...topPlan.map(c => `[PLAN @${c.offset}]\n${c.text.slice(0, 600)}`),
|
||||
].join("\n\n");
|
||||
|
||||
// Files bigger than FILE_TREE_SPLIT_THRESHOLD get tree-split.
|
||||
// Summarize each shard to a scratchpad, then review against the
|
||||
// scratchpad instead of the truncated first chunk. Prevents the
|
||||
// false-positive pattern where the model claims a field is
|
||||
// "missing" because it's past the context cutoff.
|
||||
// Files bigger than FILE_TREE_SPLIT_THRESHOLD trigger the substrate
|
||||
// path: deterministic anchor extraction + per-file vector index.
|
||||
// Reviewer sees three zones:
|
||||
// ANCHORS — verbatim suspicious lines (regex-extracted, never paraphrased)
|
||||
// NEIGHBORS — top-K file chunks retrieved per PRD chunk via cosine
|
||||
// PRD/PLAN — already retrieved, kept as-is
|
||||
// No LLM-paraphrased prose is shown. Reviewer is required to quote
|
||||
// anchors or chunks verbatim; verifier drops findings whose backtick-
|
||||
// quoted snippets don't appear in the original source.
|
||||
let sourceForPrompt: string;
|
||||
let treeSplitFired = false;
|
||||
let shardsSummarized = 0;
|
||||
let extraCloudCalls = 0;
|
||||
let substrateAnchorBlock = "";
|
||||
let substrateRetrievedBlock = "";
|
||||
if (content.length > FILE_TREE_SPLIT_THRESHOLD) {
|
||||
treeSplitFired = true;
|
||||
const ts = await treeSplitFile(rel, content);
|
||||
shardsSummarized = ts.shards;
|
||||
extraCloudCalls = ts.cloud_calls;
|
||||
sourceForPrompt = `[FULL-FILE SCRATCHPAD — distilled from ${ts.shards} shards via tree-split]\n${ts.scratchpad}`;
|
||||
const sub = await buildFileSubstrate(rel, content);
|
||||
shardsSummarized = sub.chunks.length;
|
||||
// ANCHORS zone — pick representative anchors per kind, cap to ~30
|
||||
// to keep the block readable.
|
||||
const byKind = new Map<string, AnchorLine[]>();
|
||||
for (const a of sub.anchors) {
|
||||
const arr = byKind.get(a.kind) || [];
|
||||
arr.push(a);
|
||||
byKind.set(a.kind, arr);
|
||||
}
|
||||
const balanced: AnchorLine[] = [];
|
||||
const PER_KIND = 4;
|
||||
const MAX_ANCHORS = 40;
|
||||
for (const [, arr] of byKind) balanced.push(...arr.slice(0, PER_KIND));
|
||||
balanced.sort((a, b) => a.byte_offset - b.byte_offset);
|
||||
const trimmedAnchors = balanced.slice(0, MAX_ANCHORS);
|
||||
substrateAnchorBlock = trimmedAnchors
|
||||
.map((a) => `[L${a.line_no} @byte ${a.byte_offset} kind=${a.kind}]\n${a.text}`)
|
||||
.join("\n\n");
|
||||
log(` substrate anchors selected: ${trimmedAnchors.length}/${sub.anchors.length}`);
|
||||
|
||||
// NEIGHBORS zone — for each top PRD chunk, pull the top-2 file
|
||||
// chunks that semantically match it. Surfaces the actual code
|
||||
// regions the PRD's worry-areas point at. Dedup by byte_offset.
|
||||
const seen = new Set<number>();
|
||||
const neighbors: FileChunk[] = [];
|
||||
for (const prdChunk of topPrd) {
|
||||
const top = sub.queryFile(prdChunk.embedding, 2);
|
||||
for (const fc of top) {
|
||||
if (seen.has(fc.byte_offset)) continue;
|
||||
seen.add(fc.byte_offset);
|
||||
neighbors.push(fc);
|
||||
}
|
||||
}
|
||||
substrateRetrievedBlock = neighbors
|
||||
.slice(0, 8)
|
||||
.map((c) => `[lines ${c.line_from}-${c.line_to} @byte ${c.byte_offset}]\n${c.text}`)
|
||||
.join("\n\n──\n\n");
|
||||
log(` substrate neighbors retrieved: ${neighbors.length} (showing top 8)`);
|
||||
|
||||
sourceForPrompt =
|
||||
`═══ ANCHORS (verbatim source lines extracted by regex — quotable) ═══\n${substrateAnchorBlock}\n\n` +
|
||||
`═══ NEIGHBORS (file chunks retrieved by similarity to PRD worry-areas — quotable) ═══\n${substrateRetrievedBlock}`;
|
||||
} else {
|
||||
sourceForPrompt = content;
|
||||
}
|
||||
|
||||
// Prompt — when tree-split fired, include an explicit instruction
|
||||
// not to claim a field/function is "missing" because the scratchpad
|
||||
// is a distillation not the full file. Attacks the rubric-tuning
|
||||
// concern J called out.
|
||||
// is a distillation not the full file. Plus a hard quote-or-die
|
||||
// requirement: every finding MUST quote a literal string from the
|
||||
// VERBATIM ANCHORS section. Without this, big-file reviews
|
||||
// hallucinate against the PRD worry-list (verified 2026-04-24:
|
||||
// 0/10 real findings on 13K-line llm_team_ui.py). The
|
||||
// post-acceptance verifier (verifyAnchorGrounding) drops findings
|
||||
// whose backtick-quoted strings don't appear in the original
|
||||
// source — last-line defense against confabulation.
|
||||
const truncationWarning = treeSplitFired
|
||||
? `\nIMPORTANT: the "source" below is a multi-shard distillation (tree-split across ${shardsSummarized} shards), NOT the full raw file. DO NOT claim any field, function, or feature is "missing" based on its absence from this distillation — the distillation may have elided it. Only call out gaps that appear DIRECTLY contradicted by the PRD excerpts.\n`
|
||||
? `\nIMPORTANT: this is a LARGE file (${content.length} bytes / ${shardsSummarized} chunks). You are NOT seeing the full raw source. You are seeing TWO grounded zones:
|
||||
|
||||
ANCHORS — regex-extracted verbatim source lines (route defs, auth calls, SQL, secrets, exception handlers, etc.) with line numbers and byte offsets. Every line is character-perfect.
|
||||
NEIGHBORS — file chunks retrieved by cosine-similarity to each relevant PRD excerpt. Every chunk is character-perfect source code.
|
||||
|
||||
QUOTE-OR-DIE RULE — NON-NEGOTIABLE:
|
||||
EVERY finding you list MUST include a backtick-quoted snippet of literal source text drawn from the ANCHORS or NEIGHBORS zones. If you cannot quote literal source for a claim, DO NOT make the claim. Generic "this file lacks X" is NOT acceptable when X isn't visibly absent from the anchors/neighbors you can see — instead, if you suspect X is absent, write "could not verify presence of X in retrieved zones" with low confidence rather than asserting it as a critical failure.
|
||||
|
||||
The pipeline runs a post-process verifier that drops findings whose quoted code doesn't appear in the original source byte-for-byte. Make every claim grounded.\n`
|
||||
: "";
|
||||
|
||||
const forensicPrefix = FORENSIC_PREAMBLE
|
||||
@@ -675,6 +1062,17 @@ Respond with markdown. Be specific, not generic. Cite file-region + PRD-chunk-of
|
||||
accepted = r.content;
|
||||
acceptedModel = `${rung.provider}/${rung.model}`;
|
||||
acceptedOn = n;
|
||||
// Post-acceptance: when tree-split fired, run the anchor-grounding
|
||||
// verifier and append a footer with the grounding rate. The footer
|
||||
// surfaces ungrounded quotes so humans can spot hallucinated
|
||||
// findings at a glance — prevents the 0/10 confabulation pattern
|
||||
// observed on llm_team_ui.py 2026-04-24.
|
||||
if (treeSplitFired) {
|
||||
const stats = verifyAnchorGrounding(accepted, content);
|
||||
log(` ⚓ anchor grounding: ${stats.grounded}/${stats.total} quotes matched source` +
|
||||
(stats.groundedPct !== null ? ` (${stats.groundedPct}%)` : ""));
|
||||
accepted = appendGroundingFooter(accepted, stats);
|
||||
}
|
||||
log(` ✓ ACCEPTED on attempt ${n} (${rung.model}, ${r.content.length} chars)`);
|
||||
break;
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user