P5: light-tier canary — gadfly-shaped reviewer on executus core
executus CI / test (pull_request) Failing after 1m5s
Adversarial Review (Gadfly) / review (pull_request) Successful in 8m18s

examples/reviewer proves the core is sufficient for a static-binary light host
(gadfly's shape) with NO batteries:
- config.Env + model.Configure  -> env-driven model fleet + tier overrides
- model.ParseModelForContext    -> tier resolution + failover
- fanout.Run (PerKey caps)      -> N models x M lenses swarm, per-provider bound
- model.GenerateWith[T]         -> structured findings per (model, lens) cell
- Consolidate                   -> one verdict-led report section per model

Hermetic test runs the full 2x3 swarm against majordomo's fake provider and
asserts the consolidated verdicts. A go list -deps CI check asserts the canary
imports ZERO batteries (the light-tier invariant) — gadfly's go.sum stays free
of gorm/redis/discordgo/sqlite. README + docs updated.

This is the canary; migrating the LIVE gadfly repo onto executus core is a
follow-up (kept separate to not destabilize the active reviewer).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
2026-06-27 00:22:02 -04:00
parent dc2d4ec425
commit ea9475da54
7 changed files with 447 additions and 1 deletions
+191
View File
@@ -0,0 +1,191 @@
// Command reviewer is executus's light-tier CANARY: a gadfly-shaped adversarial
// PR reviewer built on the executus CORE ONLY — no batteries, no DB, no host.
// It proves the core is sufficient for a static-binary host like gadfly:
//
// - config.Env → env-driven model fleet + concurrency (GADFLY_*-style)
// - model.Configure/... → tier resolution + failover over majordomo
// - fanout.Run → the N-models × M-lenses swarm, with per-provider caps
// - model.GenerateWith[T] → structured findings per (model, lens)
// - consolidation → one report section per model, worst-verdict-led
//
// The whole thing imports only executus core packages, so a binary built from it
// keeps a go.sum free of gorm/redis/discordgo/sqlite — the light-tier invariant.
//
// See reviewer_test.go for the hermetic swarm test (majordomo's fake provider).
package main
import (
"context"
"fmt"
"sort"
"strings"
"gitea.stevedudenhoeffer.com/steve/majordomo/llm"
"gitea.stevedudenhoeffer.com/steve/executus/fanout"
"gitea.stevedudenhoeffer.com/steve/executus/model"
)
// Severity orders findings; the rank drives a model's worst-verdict header.
type Severity string
const (
SevTrivial Severity = "trivial"
SevSmall Severity = "small"
SevMedium Severity = "medium"
SevHigh Severity = "high"
SevCritical Severity = "critical"
)
func severityRank(s Severity) int {
switch s {
case SevCritical:
return 4
case SevHigh:
return 3
case SevMedium:
return 2
case SevSmall:
return 1
default:
return 0
}
}
// Finding is one issue a lens reports. It is the structured-output schema the
// model must satisfy (majordomo derives the JSON schema from this struct).
type Finding struct {
Severity Severity `json:"severity" jsonschema:"enum=trivial,enum=small,enum=medium,enum=high,enum=critical"`
Title string `json:"title"`
Detail string `json:"detail"`
}
// lensReport is the per-(model,lens) structured response.
type lensReport struct {
Findings []Finding `json:"findings"`
}
// Lens is one review dimension (security / correctness / …).
type Lens struct {
Name string
Focus string // appended to the base system prompt
}
// NamedModel is a resolved model plus the label + provider used for fan-out
// keying (per-provider concurrency) and reporting.
type NamedModel struct {
Name string // display label (the tier/spec the host configured)
Provider string // fan-out key for PerKey concurrency (e.g. "ollama-cloud")
Model llm.Model
}
// LensResult is one swarm cell's outcome.
type LensResult struct {
Model string
Lens string
Findings []Finding
Err error
}
const baseSystemPrompt = "You are an adversarial code reviewer. Review the diff for real, verifiable problems only — no style nits. Return ONLY JSON matching the schema. Report nothing if you find nothing."
// Review runs every (model × lens) cell of the swarm concurrently, bounded by
// opts (total + per-provider caps), and returns one LensResult per cell. A cell
// whose model call fails carries the error in LensResult.Err — one bad cell
// never aborts the swarm (fanout captures per-item errors).
func Review(ctx context.Context, models []NamedModel, lenses []Lens, diff string, opts fanout.Options[cell]) []LensResult {
cells := make([]cell, 0, len(models)*len(lenses))
for _, m := range models {
for _, l := range lenses {
cells = append(cells, cell{model: m, lens: l})
}
}
// Key each cell by its provider so PerKey throttles per backend (the
// GADFLY_PROVIDER_CONCURRENCY analogue).
if opts.Key == nil {
opts.Key = func(c cell) string { return c.model.Provider }
}
results := fanout.Run(ctx, cells, opts, func(ctx context.Context, c cell) (LensResult, error) {
sys := baseSystemPrompt
if c.lens.Focus != "" {
sys += "\n\nLens — " + c.lens.Name + ": " + c.lens.Focus
}
msgs := []llm.Message{{Role: llm.RoleUser, Parts: []llm.Part{llm.Text("Diff under review:\n" + diff)}}}
rep, err := model.GenerateWith[lensReport](ctx, c.model.Model, sys, msgs)
lr := LensResult{Model: c.model.Name, Lens: c.lens.Name, Findings: rep.Findings, Err: err}
// Return the value either way (err embedded) so every cell reports.
return lr, nil
})
out := make([]LensResult, 0, len(results))
for _, r := range results {
if r.Err != nil { // a swarm-level error (ctx cancel) with no value
out = append(out, LensResult{Err: r.Err})
continue
}
out = append(out, r.Value)
}
return out
}
// cell is one (model, lens) swarm task.
type cell struct {
model NamedModel
lens Lens
}
// Consolidate renders the swarm's results into one report: a section per model,
// each led by that model's worst finding severity, mirroring gadfly's
// one-comment-per-model output.
func Consolidate(results []LensResult) string {
byModel := map[string][]LensResult{}
var order []string
for _, r := range results {
if r.Model == "" {
continue
}
if _, ok := byModel[r.Model]; !ok {
order = append(order, r.Model)
}
byModel[r.Model] = append(byModel[r.Model], r)
}
sort.Strings(order)
var b strings.Builder
for _, m := range order {
rs := byModel[m]
var all []Finding
worst := -1
errored := 0
for _, r := range rs {
if r.Err != nil {
errored++
continue
}
all = append(all, r.Findings...)
for _, f := range r.Findings {
if severityRank(f.Severity) > worst {
worst = severityRank(f.Severity)
}
}
}
verdict := "no issues found"
if worst >= severityRank(SevHigh) {
verdict = "blocking issues found"
} else if worst >= 0 {
verdict = "minor issues"
}
fmt.Fprintf(&b, "## %s — %s", m, verdict)
if errored > 0 {
fmt.Fprintf(&b, " (⚠ %d lens(es) errored)", errored)
}
b.WriteString("\n")
sort.SliceStable(all, func(i, j int) bool {
return severityRank(all[i].Severity) > severityRank(all[j].Severity)
})
for _, f := range all {
fmt.Fprintf(&b, "- [%s] %s — %s\n", f.Severity, f.Title, f.Detail)
}
b.WriteString("\n")
}
return b.String()
}