feat: cross-model consensus consolidation (one ranked comment, not N walls) (#17)
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Co-authored-by: Steve Dudenhoeffer <steve@stevedudenhoeffer.com>
Co-committed-by: Steve Dudenhoeffer <steve@stevedudenhoeffer.com>
This commit was merged in pull request #17.
This commit is contained in:
2026-06-28 22:56:15 +00:00
committed by steve
parent 84b891b1ba
commit 88f74aa768
8 changed files with 841 additions and 32 deletions
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package main
// Cross-model consensus consolidation. The swarm runs each model independently
// (entrypoint.sh fans them out across provider lanes); historically each model
// posted its OWN comment, so a reader faced N walls of prose that mostly agreed.
//
// Instead, every model writes its findings to a shared directory
// (GADFLY_FINDINGS_OUT, one JSON file per model), and after the whole swarm
// finishes a single consolidation pass (GADFLY_CONSOLIDATE_DIR) clusters those
// findings by location, counts how many models independently flagged each one,
// and renders ONE comment: an agreement-ranked table up top (cross-model
// agreement is the strongest real-vs-false-positive signal we have), with each
// model's full review folded below for drill-down.
//
// This file owns: the per-model artifact (modelFindings), writing it
// (writeFindingsOut), reading the directory back, clustering, and rendering the
// consensus markdown (renderConsensus). It depends only on the stdlib.
import (
"encoding/json"
"errors"
"fmt"
"os"
"path/filepath"
"sort"
"strings"
)
// consensusMarker tags the single consolidated comment so entrypoint.sh can
// upsert it in place across re-runs (mirrors run.sh's per-model marker).
const consensusMarker = "<!-- gadfly-consensus -->"
// modelFindings is the per-model artifact written to GADFLY_FINDINGS_OUT. It
// carries enough to rebuild the consolidated comment without re-running models:
// the structured findings (for clustering) plus the full rendered review (for
// the folded per-model drill-down).
type modelFindings struct {
Model string `json:"model"`
Provider string `json:"provider"`
Verdict string `json:"verdict"` // worst lens verdict, as a label
Errored bool `json:"errored"` // the model produced no usable review (every lens failed, or the run crashed)
Markdown string `json:"markdown"` // full rendered per-model review (findings block already stripped)
Findings []outFinding `json:"findings"`
}
// outFinding is one finding in the per-model artifact (a flattened `finding`
// plus its lens).
type outFinding struct {
Lens string `json:"lens"`
File string `json:"file"`
Line int `json:"line"`
Severity string `json:"severity"`
Confidence string `json:"confidence"`
Title string `json:"title"`
Detail string `json:"detail"`
}
// collectFindings returns a lens result's findings with severity always filled
// in: per-finding when the structured block supplied it, else derived from the
// lens verdict (so heuristic-scraped findings still carry a canonical word). A
// clean or errored lens yields nothing. Shared by the telemetry emit and the
// per-model findings file so both agree on what a finding is.
func collectFindings(r specialistResult) []finding {
if r.errored || r.verdict == verdictClean {
return nil
}
fs := extractStructuredFindingsOrScrape(r)
lensSev := r.verdict.severity()
for i := range fs {
if fs[i].severity == "" {
fs[i].severity = lensSev
}
}
return fs
}
// writeFindingsOut writes this model's findings + rendered review to
// GADFLY_FINDINGS_OUT for the later consolidation pass. No-op unless the env is
// set. Best-effort: any error is logged to stderr and never affects the review
// (it runs after the markdown is already on stdout).
func writeFindingsOut(results []specialistResult) {
path := strings.TrimSpace(os.Getenv("GADFLY_FINDINGS_OUT"))
if path == "" {
return
}
mf := modelFindings{
Model: strings.TrimSpace(os.Getenv("GADFLY_MODEL")),
Provider: modelProvider(),
Verdict: worstVerdict(results).label(),
Errored: allErrored(results),
Markdown: renderConsolidated(results),
}
for _, r := range results {
for _, f := range collectFindings(r) {
mf.Findings = append(mf.Findings, outFinding{
Lens: r.spec.Name,
File: f.file,
Line: f.line,
Severity: f.severity,
Confidence: f.confidence,
Title: f.title,
Detail: f.detail,
})
}
}
data, err := json.Marshal(mf)
if err != nil {
fmt.Fprintln(os.Stderr, "gadfly: marshal findings out:", err)
return
}
// Defensive: make sure the parent dir exists (entrypoint creates it, but a
// missing dir would otherwise silently drop this model from the consensus).
if dir := filepath.Dir(path); dir != "" {
_ = os.MkdirAll(dir, 0o755)
}
if err := os.WriteFile(path, data, 0o644); err != nil {
fmt.Fprintln(os.Stderr, "gadfly: write findings out:", err)
}
}
// allErrored reports whether every lens of a review failed (so the model
// produced no usable findings). Such a model is recorded but excluded from the
// consensus agreement denominator — counting it would dilute every ratio with a
// model that never actually reviewed.
func allErrored(results []specialistResult) bool {
if len(results) == 0 {
return true
}
for _, r := range results {
if !r.errored {
return false
}
}
return true
}
// runConsolidate is the consolidation entry point (GADFLY_CONSOLIDATE_DIR set):
// read every per-model artifact in the directory, render the consensus comment
// to stdout. Errors are fatal to THIS process only — entrypoint.sh treats a
// failed consolidation as advisory and falls back to per-model comments.
func runConsolidate() error {
dir := strings.TrimSpace(os.Getenv("GADFLY_CONSOLIDATE_DIR"))
if dir == "" {
return errors.New("GADFLY_CONSOLIDATE_DIR is empty")
}
entries, err := os.ReadDir(dir)
if err != nil {
return fmt.Errorf("read consolidate dir: %w", err)
}
var models []modelFindings
for _, e := range entries {
if e.IsDir() || !strings.HasSuffix(e.Name(), ".json") {
continue
}
data, err := os.ReadFile(filepath.Join(dir, e.Name()))
if err != nil {
fmt.Fprintln(os.Stderr, "gadfly: read", e.Name(), err)
continue
}
var mf modelFindings
if err := json.Unmarshal(data, &mf); err != nil {
fmt.Fprintln(os.Stderr, "gadfly: parse", e.Name(), err)
continue
}
if strings.TrimSpace(mf.Model) == "" {
continue
}
models = append(models, mf)
}
if len(models) == 0 {
return errors.New("no model findings to consolidate")
}
// Lead with the marker so entrypoint.sh can upsert this comment in place
// (same pattern as run.sh's per-model marker); it appends the advisory footer.
fmt.Println(consensusMarker)
fmt.Println(renderConsensus(models))
return nil
}
// cluster is a group of findings (across models) judged to be the same issue:
// same file, lines within lineTolerance of the cluster's current span. The span
// [line,maxLine] slides as members join, so a chain of nearby findings merges
// instead of splitting once it drifts past the first line.
type cluster struct {
file string
line int // representative (smallest) line
maxLine int // largest line in the cluster — the span's upper edge
severity string
title string
models map[string]bool
lenses map[string]bool
}
// findingRef is one model's finding (carrying which model reported it), used
// while grouping findings into clusters.
type findingRef struct {
f outFinding
model string
}
// lineTolerance: a finding in the same file within this many lines of a
// cluster's current span is treated as the same issue (models often cite a line
// or two apart).
const lineTolerance = 3
// renderConsensus builds the single consolidated comment body from every model's
// findings. It does NOT emit the marker or advisory footer — entrypoint.sh wraps
// it (mirroring run.sh's per-model framing).
func renderConsensus(models []modelFindings) string {
// effective = models that actually produced a review. Errored models are
// shown (folded, below) but excluded from the agreement denominator so a
// failed model doesn't dilute every ratio.
effective := 0
for _, m := range models {
if !m.Errored {
effective++
}
}
errored := len(models) - effective
clusters := clusterFindings(models)
worst := verdictClean
for _, m := range models {
if v := parseVerdict(m.Verdict); v > worst {
worst = v
}
}
// Partition in one pass: "headline" findings (multi-model agreement, OR a
// lone CRITICAL) vs folded "single-model" lower-confidence findings. Also
// count multi-model agreements for the summary line.
var headline, folded []cluster
agreed := 0
for _, c := range clusters {
if len(c.models) >= 2 {
agreed++
}
if len(c.models) >= 2 || sevRank(c.severity) >= sevRank("critical") {
headline = append(headline, c)
} else {
folded = append(folded, c)
}
}
var b strings.Builder
fmt.Fprintf(&b, "## 🪰 Gadfly review — consensus across %d model%s", effective, plural(effective))
if errored > 0 {
fmt.Fprintf(&b, " (%d failed)", errored)
}
b.WriteString("\n\n")
fmt.Fprintf(&b, "**Verdict: %s** · %d finding%s (%d with multi-model agreement)\n",
worst.label(), len(clusters), plural(len(clusters)), agreed)
if len(headline) > 0 {
b.WriteString("\n| | Finding | Where | Models | Lens |\n|--|--|--|--|--|\n")
for _, c := range headline {
fmt.Fprintf(&b, "| %s | %s | `%s` | %d/%d | %s |\n",
sevIcon(c.severity), mdCell(c.title), mdCell(location(c.file, c.line)),
len(c.models), effective, mdCell(lensList(c.lenses)))
}
} else if len(clusters) == 0 {
b.WriteString("\nNo material issues found by consensus.\n")
}
// else: only single-model findings — they're shown folded below, so don't
// claim "no material issues" (there are some, just none with consensus).
if len(folded) > 0 {
fmt.Fprintf(&b, "\n<details><summary>%d single-model finding%s (lower confidence)</summary>\n\n",
len(folded), plural(len(folded)))
b.WriteString("| | Finding | Where | Model | Lens |\n|--|--|--|--|--|\n")
for _, c := range folded {
fmt.Fprintf(&b, "| %s | %s | `%s` | %s | %s |\n",
sevIcon(c.severity), mdCell(c.title), mdCell(location(c.file, c.line)),
mdCell(oneModel(c.models)), mdCell(lensList(c.lenses)))
}
b.WriteString("\n</details>\n")
}
// Per-model full reviews, folded for drill-down (nothing is lost).
b.WriteString("\n<details><summary>Per-model detail</summary>\n")
for _, m := range models {
body := strings.TrimSpace(m.Markdown)
if body == "" {
body = "_(no output)_"
}
verdict := m.Verdict
if m.Errored {
verdict = "⚠️ reviewer failed"
}
fmt.Fprintf(&b, "\n<details><summary><b>%s</b> (%s) — %s</summary>\n\n%s\n\n</details>\n",
mdCell(m.Model), mdCell(m.Provider), verdict, body)
}
b.WriteString("\n</details>")
return b.String()
}
// clusterFindings groups every model's findings into cross-model clusters,
// sorted by agreement (desc), then severity (desc), then location.
func clusterFindings(models []modelFindings) []cluster {
// Group by file, then greedily merge by line proximity.
byFile := map[string][]findingRef{}
for _, m := range models {
for _, f := range m.Findings {
if strings.TrimSpace(f.File) == "" {
continue
}
byFile[f.File] = append(byFile[f.File], findingRef{f, m.Model})
}
}
var clusters []cluster
for file, items := range byFile {
sort.SliceStable(items, func(i, j int) bool { return items[i].f.Line < items[j].f.Line })
// Cluster within THIS file only (clusters never span files), so the inner
// scan is over same-file clusters, not every cluster seen so far.
var fileClusters []cluster
for _, it := range items {
placed := false
for ci := range fileClusters {
c := &fileClusters[ci]
// Join if the line falls within the cluster's span, widened by the
// tolerance on both edges — so the window slides as the span grows.
if it.f.Line >= c.line-lineTolerance && it.f.Line <= c.maxLine+lineTolerance {
mergeIntoCluster(c, it.f, it.model)
placed = true
break
}
}
if !placed {
c := cluster{
file: file,
line: it.f.Line,
maxLine: it.f.Line,
severity: it.f.Severity,
title: it.f.Title,
models: map[string]bool{},
lenses: map[string]bool{},
}
mergeIntoCluster(&c, it.f, it.model)
fileClusters = append(fileClusters, c)
}
}
clusters = append(clusters, fileClusters...)
}
sort.SliceStable(clusters, func(i, j int) bool {
if len(clusters[i].models) != len(clusters[j].models) {
return len(clusters[i].models) > len(clusters[j].models)
}
if sevRank(clusters[i].severity) != sevRank(clusters[j].severity) {
return sevRank(clusters[i].severity) > sevRank(clusters[j].severity)
}
if clusters[i].file != clusters[j].file {
return clusters[i].file < clusters[j].file
}
return clusters[i].line < clusters[j].line
})
return clusters
}
// mergeIntoCluster folds one finding into a cluster: union the model/lens sets,
// widen the [line,maxLine] span, and keep the highest-severity report's title.
func mergeIntoCluster(c *cluster, f outFinding, model string) {
if model != "" {
c.models[model] = true
}
if f.Lens != "" {
c.lenses[f.Lens] = true
}
if f.Line > 0 && (c.line == 0 || f.Line < c.line) {
c.line = f.Line
}
if f.Line > c.maxLine {
c.maxLine = f.Line
}
if sevRank(f.Severity) > sevRank(c.severity) {
c.severity = f.Severity
if strings.TrimSpace(f.Title) != "" {
c.title = f.Title
}
}
}
// sevRank orders the canonical severity words for sorting/comparison.
func sevRank(s string) int {
switch strings.ToLower(strings.TrimSpace(s)) {
case "critical":
return 5
case "high":
return 4
case "medium":
return 3
case "small":
return 2
case "trivial":
return 1
default:
return 0
}
}
// sevIcon is the at-a-glance severity badge for the consensus table.
func sevIcon(s string) string {
switch strings.ToLower(strings.TrimSpace(s)) {
case "critical", "high":
return "🔴"
case "medium":
return "🟠"
case "small":
return "🟡"
default:
return "⚪"
}
}
func location(file string, line int) string {
if line > 0 {
return fmt.Sprintf("%s:%d", file, line)
}
return file
}
func lensList(lenses map[string]bool) string {
out := make([]string, 0, len(lenses))
for l := range lenses {
out = append(out, l)
}
sort.Strings(out)
return strings.Join(out, ", ")
}
func oneModel(models map[string]bool) string {
for m := range models {
return m
}
return ""
}
// mdCell makes a string safe for a one-line markdown table cell: collapse
// newlines, escape pipes (which delimit columns), and neutralize backticks
// (a stray one would break an inline-code span — a backslash can't escape it
// inside code, so replace with an apostrophe). Inputs are model-influenced, so
// this keeps a malformed file path or title from breaking the table.
func mdCell(s string) string {
s = strings.ReplaceAll(s, "\n", " ")
s = strings.ReplaceAll(s, "|", "\\|")
s = strings.ReplaceAll(s, "`", "'")
return strings.TrimSpace(s)
}
func plural(n int) string {
if n == 1 {
return ""
}
return "s"
}
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package main
import (
"encoding/json"
"os"
"path/filepath"
"strings"
"testing"
)
func TestClusterFindingsAgreementAndTolerance(t *testing.T) {
models := []modelFindings{
{Model: "m1", Verdict: "Blocking issues found", Findings: []outFinding{
{Lens: "security", File: "a.go", Line: 10, Severity: "high", Title: "auth bypass"},
{Lens: "perf", File: "b.go", Line: 5, Severity: "trivial", Title: "tiny nit"},
}},
{Model: "m2", Verdict: "Minor issues", Findings: []outFinding{
{Lens: "security", File: "a.go", Line: 11, Severity: "critical", Title: "auth bypass (crit)"}, // within tolerance of a.go:10
}},
{Model: "m3", Verdict: "Minor issues", Findings: []outFinding{
{Lens: "correctness", File: "a.go", Line: 10, Severity: "medium", Title: "auth bypass"},
}},
}
clusters := clusterFindings(models)
if len(clusters) != 2 {
t.Fatalf("want 2 clusters (a.go:10±, b.go:5), got %d: %+v", len(clusters), clusters)
}
// First cluster (highest agreement) is the a.go auth one: 3 models, severity
// escalated to critical, representative line the smallest (10).
c := clusters[0]
if len(c.models) != 3 {
t.Errorf("want 3 models on the top cluster, got %d", len(c.models))
}
if c.severity != "critical" {
t.Errorf("want escalated severity critical, got %q", c.severity)
}
if c.line != 10 {
t.Errorf("want representative line 10, got %d", c.line)
}
if !c.lenses["security"] || !c.lenses["correctness"] {
t.Errorf("want union of lenses, got %v", c.lenses)
}
}
func TestRenderConsensusFoldsSingleModelNits(t *testing.T) {
models := []modelFindings{
{Model: "m1", Provider: "p", Verdict: "Blocking issues found", Markdown: "m1 detail", Findings: []outFinding{
{Lens: "security", File: "a.go", Line: 10, Severity: "high", Title: "auth bypass"},
{Lens: "perf", File: "b.go", Line: 5, Severity: "trivial", Title: "tiny nit"},
}},
{Model: "m2", Provider: "p", Verdict: "Minor issues", Markdown: "m2 detail", Findings: []outFinding{
{Lens: "security", File: "a.go", Line: 10, Severity: "high", Title: "auth bypass"},
}},
}
out := renderConsensus(models)
// Headline table: the agreed finding with a 2/2 badge.
if !strings.Contains(out, "2/2") {
t.Errorf("expected a 2/2 agreement badge in headline:\n%s", out)
}
if !strings.Contains(out, "auth bypass") || !strings.Contains(out, "a.go:10") {
t.Errorf("headline missing the consensus finding:\n%s", out)
}
// The lone trivial finding is folded, not in the headline table.
if !strings.Contains(out, "single-model finding") {
t.Errorf("expected a folded single-model section:\n%s", out)
}
// Per-model detail is preserved (folded).
if !strings.Contains(out, "m1 detail") || !strings.Contains(out, "m2 detail") {
t.Errorf("per-model detail not preserved:\n%s", out)
}
}
func TestRenderConsensusHighSeverityLoneFindingStaysHeadline(t *testing.T) {
// A single model, single critical finding must still surface in the headline
// (not be folded as "low confidence").
models := []modelFindings{
{Model: "solo", Verdict: "Blocking issues found", Markdown: "x", Findings: []outFinding{
{Lens: "security", File: "a.go", Line: 1, Severity: "critical", Title: "rce"},
}},
}
out := renderConsensus(models)
headline := out
if i := strings.Index(out, "single-model finding"); i >= 0 {
headline = out[:i]
}
if !strings.Contains(headline, "rce") {
t.Errorf("lone critical should be in the headline, not folded:\n%s", out)
}
}
func TestClusterSlidingWindowMergesChain(t *testing.T) {
// Findings at 10, 13, 16 (each 3 apart) from three models must merge into ONE
// cluster — the window slides with the span instead of anchoring at line 10.
models := []modelFindings{
{Model: "m1", Findings: []outFinding{{Lens: "x", File: "a.go", Line: 10, Severity: "medium", Title: "t"}}},
{Model: "m2", Findings: []outFinding{{Lens: "x", File: "a.go", Line: 13, Severity: "medium", Title: "t"}}},
{Model: "m3", Findings: []outFinding{{Lens: "x", File: "a.go", Line: 16, Severity: "medium", Title: "t"}}},
}
clusters := clusterFindings(models)
if len(clusters) != 1 {
t.Fatalf("chain 10/13/16 should merge into 1 cluster, got %d", len(clusters))
}
if len(clusters[0].models) != 3 {
t.Errorf("want 3 models in the merged cluster, got %d", len(clusters[0].models))
}
}
func TestRenderConsensusExcludesErroredFromDenominator(t *testing.T) {
models := []modelFindings{
{Model: "m1", Verdict: "Minor issues", Markdown: "a", Findings: []outFinding{
{Lens: "security", File: "a.go", Line: 9, Severity: "medium", Title: "leak"}}},
{Model: "m2", Verdict: "Minor issues", Markdown: "b", Findings: []outFinding{
{Lens: "security", File: "a.go", Line: 9, Severity: "medium", Title: "leak"}}},
{Model: "broken", Verdict: "reviewer failed", Errored: true, Markdown: "boom"},
}
out := renderConsensus(models)
// Denominator is the 2 effective models, not 3; the failure is noted.
if !strings.Contains(out, "2/2") {
t.Errorf("errored model must be excluded from the denominator (want 2/2):\n%s", out)
}
if !strings.Contains(out, "1 failed") {
t.Errorf("expected a '1 failed' note:\n%s", out)
}
if !strings.Contains(out, "reviewer failed") {
t.Errorf("errored model should still appear (folded) as failed:\n%s", out)
}
}
func TestRenderConsensusLoneHighFolds(t *testing.T) {
// A single-model HIGH (not critical) folds — only consensus or a lone CRITICAL
// earns the headline, so a lone Blocking-lens finding doesn't reintroduce noise.
models := []modelFindings{
{Model: "solo", Verdict: "Blocking issues found", Markdown: "x", Findings: []outFinding{
{Lens: "security", File: "a.go", Line: 1, Severity: "high", Title: "maybe-bug"}}},
}
out := renderConsensus(models)
head := out
if i := strings.Index(out, "single-model finding"); i >= 0 {
head = out[:i]
}
if strings.Contains(head, "maybe-bug") {
t.Errorf("a lone HIGH should fold, not headline:\n%s", out)
}
}
func TestWriteAndConsolidateRoundTrip(t *testing.T) {
dir := t.TempDir()
// Two model artifacts on disk.
write := func(name string, mf modelFindings) {
data, _ := json.Marshal(mf)
if err := os.WriteFile(filepath.Join(dir, name), data, 0o644); err != nil {
t.Fatal(err)
}
}
write("m1.json", modelFindings{Model: "m1", Provider: "ollama", Verdict: "Minor issues", Markdown: "md1",
Findings: []outFinding{{Lens: "security", File: "x.go", Line: 3, Severity: "medium", Title: "leak"}}})
write("m2.json", modelFindings{Model: "m2", Provider: "ollama", Verdict: "Minor issues", Markdown: "md2",
Findings: []outFinding{{Lens: "security", File: "x.go", Line: 3, Severity: "high", Title: "leak"}}})
// A junk file must be skipped, not crash consolidation.
if err := os.WriteFile(filepath.Join(dir, "notes.txt"), []byte("ignore me"), 0o644); err != nil {
t.Fatal(err)
}
t.Setenv("GADFLY_CONSOLIDATE_DIR", dir)
// runConsolidate prints to stdout; capture it.
out := captureStdout(t, func() {
if err := runConsolidate(); err != nil {
t.Fatalf("runConsolidate: %v", err)
}
})
if !strings.HasPrefix(strings.TrimSpace(out), consensusMarker) {
t.Errorf("consolidated output must lead with the marker:\n%s", out)
}
if !strings.Contains(out, "2/2") || !strings.Contains(out, "x.go:3") {
t.Errorf("expected the agreed x.go:3 finding at 2/2:\n%s", out)
}
}
func TestRunConsolidateEmptyDirErrors(t *testing.T) {
t.Setenv("GADFLY_CONSOLIDATE_DIR", t.TempDir())
if err := runConsolidate(); err == nil {
t.Error("want an error for an empty consolidate dir (entrypoint falls back)")
}
}
// captureStdout redirects os.Stdout for the duration of fn and returns what was
// written.
func captureStdout(t *testing.T, fn func()) string {
t.Helper()
orig := os.Stdout
r, w, err := os.Pipe()
if err != nil {
t.Fatal(err)
}
os.Stdout = w
defer func() { os.Stdout = orig }() // restore even if fn panics
done := make(chan string)
go func() {
var sb strings.Builder
buf := make([]byte, 4096)
for {
n, err := r.Read(buf)
if n > 0 {
sb.Write(buf[:n])
}
if err != nil {
break
}
}
r.Close()
done <- sb.String()
}()
fn()
w.Close()
return <-done
}
+5 -25
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@@ -125,32 +125,12 @@ func emit(results []specialistResult, elapsed time.Duration) {
// InputTokens/OutputTokens/CostUSD stay nil -> JSON null (not metered).
}
// collectFindings (consensus.go) skips clean/errored lenses and fills in each
// finding's severity (per-finding when structured, else derived from the lens
// verdict), so every reportPayload carries a canonical raw_severity.
var reports []reportPayload
for _, r := range results {
if r.errored {
continue // a failed lens contributes no findings
}
// A lens that reports "No material issues found" has nothing to flag —
// its path:line references are verification notes ("verified X at
// file:line is safe"), not problems. Extracting them pollutes the
// findings store with false positives and unfairly penalizes thorough
// reviewers that do clean passes, so a clean lens emits no findings.
if r.verdict == verdictClean {
continue
}
// Prefer the model's machine-readable ```gadfly-findings block (exact
// location + per-finding severity). Fall back to the prose scrape when it
// yields NOTHING — no block, an unterminated/malformed one, or a block that
// parsed to zero usable findings on a non-clean lens (e.g. an empty []
// alongside prose findings). Falling back on empty, not just on absent,
// keeps the safety net from being defeated by a contradictory empty block.
fs := extractStructuredFindingsOrScrape(r)
lensSev := r.verdict.severity() // canonical word for heuristic findings (no per-finding severity)
for _, f := range fs {
sev := f.severity
if sev == "" {
sev = lensSev
}
for _, f := range collectFindings(r) {
reports = append(reports, reportPayload{
Repo: repo,
PR: pr,
@@ -161,7 +141,7 @@ func emit(results []specialistResult, elapsed time.Duration) {
Model: model,
Provider: provider,
RunID: runID,
RawSeverity: sev,
RawSeverity: f.severity,
Confidence: f.confidence,
Detail: f.detail,
})
+13
View File
@@ -123,6 +123,14 @@ func main() {
func run() error {
start := time.Now()
// Consolidation mode: not a review at all — read the per-model findings the
// swarm wrote and print the single cross-model consensus comment. entrypoint.sh
// runs this once, after every model has finished.
if strings.TrimSpace(os.Getenv("GADFLY_CONSOLIDATE_DIR")) != "" {
return runConsolidate()
}
repoDir := os.Getenv("GADFLY_REPO_DIR")
diffFile := os.Getenv("GADFLY_DIFF_FILE")
systemFile := os.Getenv("GADFLY_SYSTEM_FILE")
@@ -214,6 +222,11 @@ func run() error {
// Optional, best-effort telemetry. OFF unless GADFLY_FINDINGS_URL is set;
// any failure is logged to stderr and never affects stdout or the exit code.
emit(results, time.Since(start))
// Optional per-model findings artifact for the cross-model consolidation
// pass. No-op unless GADFLY_FINDINGS_OUT is set (entrypoint sets it for a
// multi-model swarm). Best-effort, never affects stdout or the exit code.
writeFindingsOut(results)
return nil
}