Files
DeepSeek-Reasonix/benchmarks/compaction/main.go
T
yhh 394da0a313 refactor: the kernel's packages live in the layer they belong to
internal/ was 141 packages side by side, so nothing but a reader's memory
said which were foundations and which assembled the rest. Each now sits in a
layer directory, and the directory is the declaration:

  base      L0  foundation with no domain in it
  contract  L1  types and interfaces the layers above agree on
  model, tools, safety, ext, state, platform
            L2  subsystems, peers of one another
  runtime   L3  the turn engine
  session   L4  the controller
  assembly  L5  the composition root
  frontend  L6  cli, serve, acp and the host adapters

Only paths change: package names, code and behaviour do not. Imports,
repolint and coverage baselines, sensitive paths, CI package lists and docs
follow the new paths; release notes keep the paths they were written with,
and sample paths inside tests and fixtures keep theirs.

repolint gains layer-order: a package may import its own layer and those
below it, read from where it lives. The 47 imports that point upward today
are recorded as that rule's opening debt (-allow-widen, a new rule's first
baseline) and can only go down. Most of it is config, which still reaches
into eight subsystems and is the next thing to take apart; the rest is
event, history and a few tools reaching into runtime for types that belong
in contract.
2026-09-23 18:28:21 -07:00

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// CompactionBench measures what repeated compaction costs and what it loses.
// Both arms drive the real agent compaction path over a session that grows one
// generation at a time:
//
// -mode=cost offline: what each fold costs and whether any single
// summarizer call can still overflow the window
// -mode=fidelity real provider: which planted facts survive N folds,
// scored against a full-history control
package main
import (
"context"
"encoding/json"
"flag"
"fmt"
"os"
"path/filepath"
"strings"
"time"
"reasonix/internal/base/tokencount"
"reasonix/internal/contract/ablation"
"reasonix/internal/contract/event"
"reasonix/internal/contract/provider"
"reasonix/internal/contract/tool"
_ "reasonix/internal/model/openai"
"reasonix/internal/runtime/agent"
)
const (
realModel = "deepseek-v4-flash"
realBaseURL = "https://api.deepseek.com"
// probeAnswerTokens must cover a thinking model's reasoning plus the short
// answer; too small and every probe scores as lost.
probeAnswerTokens = 2048
)
func main() {
mode := flag.String("mode", "cost", "cost | fidelity")
gens := flag.Int("gens", 8, "generations of work+compaction to run")
report := flag.String("report", "1,2,4,8", "generations to report on")
window := flag.Int("window", 128_000, "context window in tokens")
control := flag.Bool("control", true, "fidelity: also score probes against full history")
arm := flag.String("arm", "full", "full | incremental: re-derive each digest from canonical, or fold the previous projection")
_ = flag.Bool("snip", false, "accepted and ignored: automatic snip projections are gone")
out := flag.String("out", "", "write the JSON report here")
flag.Parse()
var (
res []genResult
err error
)
a := arms{incremental: *arm == "incremental"}
switch {
case *arm != "full" && *arm != "incremental":
err = fmt.Errorf("unknown arm %q", *arm)
case *mode == "cost":
res, err = runCost(*gens, *window, a)
case *mode == "fidelity":
res, err = runFidelity(*gens, *window, *control, a)
default:
err = fmt.Errorf("unknown mode %q", *mode)
}
if err != nil {
fmt.Fprintln(os.Stderr, err)
os.Exit(1)
}
printReport(*mode+" / "+*arm, res, reportAt(*report))
if *out != "" {
b, _ := json.MarshalIndent(map[string]any{"mode": *mode, "arm": *arm, "window": *window, "generations": res}, "", " ")
if werr := os.WriteFile(*out, append(b, '\n'), 0o644); werr != nil {
fmt.Fprintln(os.Stderr, werr)
os.Exit(1)
}
}
}
// genResult is one generation: the fold that ran and what it cost or lost.
type genResult struct {
Gen int `json:"gen"`
CanonicalTokens int `json:"canonical_tokens"`
ProjectionTokens int `json:"projection_tokens"`
SummarizerCalls int `json:"summarizer_calls"`
SummarizerInput int `json:"summarizer_input_tokens"`
LargestCall int `json:"largest_call_tokens"`
Mode string `json:"mode,omitempty"`
Seconds float64 `json:"seconds"`
Error string `json:"error,omitempty"`
Survived map[string]int `json:"survived,omitempty"` // probe class -> 1 kept, 0 lost
ControlOK map[string]int `json:"control_ok,omitempty"` // same probes against full history
// What the model actually said, so a score can be audited rather than trusted.
Answers map[string]string `json:"answers,omitempty"`
ControlAnswers map[string]string `json:"control_answers,omitempty"`
}
type harness struct {
sess *agent.Session
agentA *agent.Agent
path string
calls *callRecorder
}
func newHarness(t *testingDir, p provider.Provider, window int, rec *callRecorder, arm arms) *harness {
sess := newSession()
path := filepath.Join(t.dir, "session.jsonl")
a := agent.New(p, tool.NewRegistry(), sess, agent.Options{
ContextWindow: window,
ArchiveDir: filepath.Join(t.dir, "archive"),
SessionPath: path,
RecentKeep: 4,
// boot's default when cfg.Agent.Keep is unset; without it the bench
// would measure a configuration no real session runs.
KeepPolicy: agent.KeepErrors,
Ablation: foldArm(arm.incremental),
}, rec.sink())
return &harness{sess: sess, agentA: a, path: path, calls: rec}
}
// foldArm switches full re-derivation off, which is what makes a fold read the
// previous projection instead of the canonical transcript.
// arms selects the maintenance behaviour under test. Snipping is off by default
// so a run stays comparable with baselines recorded before it existed.
type arms struct {
incremental bool
}
func foldArm(incremental bool) ablation.Set {
if incremental {
return ablation.New(ablation.FullFold)
}
return ablation.Set{}
}
// runGeneration grows the session and folds it, returning what that fold cost.
func (h *harness) runGeneration(ctx context.Context, gen int, probes []probe) genResult {
growSession(h.sess, gen, probes)
r := genResult{Gen: gen, CanonicalTokens: tokencount.Text(renderAll(h.sess.Snapshot()))}
h.calls.reset()
start := time.Now()
_, err := h.agentA.CompactNow(ctx, agent.CompactRequest{})
r.Seconds = time.Since(start).Seconds()
if err != nil {
r.Error = err.Error()
}
r.SummarizerCalls = len(h.calls.calls)
for _, c := range h.calls.calls {
r.SummarizerInput += c.tokens
r.LargestCall = max(r.LargestCall, c.tokens)
}
if st, ok, sterr := agent.LoadCompactionState(h.path); sterr == nil && ok {
r.ProjectionTokens = st.Projection.ProjectionTokens
if st.LastReceipt != nil && st.LastReceipt.Action == "summary" {
r.Mode = agent.CompactionModeSummarized
} else if st.LastMode != "" {
r.Mode = st.LastMode
}
}
return r
}
func runCost(gens, window int, a arms) ([]genResult, error) {
dir, cleanup, err := tempDir()
if err != nil {
return nil, err
}
defer cleanup()
rec := &callRecorder{}
p := &scriptedProvider{rec: rec, reply: syntheticDigest, window: window}
h := newHarness(dir, p, window, rec, a)
var out []genResult
for gen := range gens {
out = append(out, h.runGeneration(context.Background(), gen, probeSuite()))
}
return out, nil
}
func runFidelity(gens, window int, control bool, a arms) ([]genResult, error) {
key := os.Getenv("DEEPSEEK_API_KEY")
if key == "" {
return nil, fmt.Errorf("fidelity mode needs DEEPSEEK_API_KEY")
}
p, err := provider.New("openai", provider.Config{Name: "compactionbench", BaseURL: realBaseURL, Model: realModel, APIKey: key})
if err != nil {
return nil, err
}
dir, cleanup, cerr := tempDir()
if cerr != nil {
return nil, cerr
}
defer cleanup()
rec := &callRecorder{}
h := newHarness(dir, &recordingProvider{inner: p, rec: rec}, window, rec, a)
probes := probeSuite()
ctx := context.Background()
var out []genResult
for gen := range gens {
r := h.runGeneration(ctx, gen, probes)
r.Survived, r.ControlOK = map[string]int{}, map[string]int{}
r.Answers, r.ControlAnswers = map[string]string{}, map[string]string{}
visible, verr := visibleContext(h.path, h.sess)
if verr != nil {
return nil, verr
}
for _, probe := range probes {
if probe.settledAt() > gen {
continue
}
answer, aerr := ask(ctx, p, visible, probe.question)
if aerr != nil {
return nil, fmt.Errorf("probe %s: %w", probe, aerr)
}
r.Survived[probe.class], r.Answers[probe.class] = boolToInt(probe.score(answer)), answer
if control {
full, ferr := ask(ctx, p, h.sess.Snapshot(), probe.question)
if ferr != nil {
return nil, fmt.Errorf("control %s: %w", probe, ferr)
}
r.ControlOK[probe.class], r.ControlAnswers[probe.class] = boolToInt(probe.score(full)), full
}
}
out = append(out, r)
}
return out, nil
}
// ask puts one probe question to the model on top of the given context. The
// budget has to clear the model's reasoning as well as its answer: a thinking
// model spends its first tokens reasoning, and a budget sized for the one-word
// answer alone comes back empty and scores as a fact compaction never lost.
func ask(ctx context.Context, p provider.Provider, msgs []provider.Message, question string) (string, error) {
answer, reasoning, err := askOnce(ctx, p, msgs, question, probeAnswerTokens)
if err != nil {
return "", err
}
if answer == "" || strings.Contains(answer, toolCallMarker) {
// One retry with room to think: a reply cut off mid-reasoning says
// nothing about whether the fold kept the fact.
answer, reasoning, err = askOnce(ctx, p, msgs, question, probeAnswerTokens*4)
if err != nil {
return "", err
}
}
switch {
case strings.Contains(answer, toolCallMarker):
return toolCallInvalid, nil
case answer == "":
return fmt.Sprintf("%s: %d reasoning chars>", noAnswerMarker, reasoning), nil
}
return answer, nil
}
func askOnce(ctx context.Context, p provider.Provider, msgs []provider.Message, question string, budget int) (string, int, error) {
req := provider.Request{
Messages: append(append([]provider.Message(nil), provider.ModelMessages(msgs)...),
provider.Message{Role: provider.RoleUser, Content: question + "\n\n" + probeAnswerContract}),
MaxTokens: budget,
}
ch, err := p.Stream(ctx, req)
if err != nil {
return "", 0, err
}
var answer, reasoning strings.Builder
for c := range ch {
switch c.Type {
case provider.ChunkText:
answer.WriteString(c.Text)
case provider.ChunkReasoning:
reasoning.WriteString(c.Text)
case provider.ChunkError:
return "", reasoning.Len(), c.Err
}
}
return strings.TrimSpace(answer.String()), reasoning.Len(), nil
}
func printReport(mode string, res []genResult, at map[int]bool) {
fmt.Printf("\n## CompactionBench (%s)\n\n", mode)
fmt.Println("| gen | canonical tok | fold calls | fold input tok | largest call | projection tok | s | result |")
fmt.Println("| ---: | ---: | ---: | ---: | ---: | ---: | ---: | --- |")
for _, r := range res {
status := r.Mode
if r.Error != "" {
status = "ERROR: " + firstLine(r.Error)
}
fmt.Printf("| %d | %d | %d | %d | %d | %d | %.1f | %s |\n",
r.Gen+1, r.CanonicalTokens, r.SummarizerCalls, r.SummarizerInput, r.LargestCall, r.ProjectionTokens, r.Seconds, status)
}
if !strings.HasPrefix(mode, "fidelity") {
return
}
classes := probeSuite()
fmt.Printf("\n### Probe survival (compacted / full-history control)\n\n| probe | %s |\n", joinGens(res, at))
fmt.Printf("| --- | %s |\n", strings.Repeat(" ---: |", countGens(res, at)))
for _, p := range classes {
row := []string{}
for _, r := range res {
if !at[r.Gen+1] {
continue
}
if _, asked := r.Survived[p.class]; !asked {
row = append(row, "–")
continue
}
row = append(row, fmt.Sprintf("%s/%s", mark(r.Survived[p.class], r.Answers[p.class]), mark(r.ControlOK[p.class], r.ControlAnswers[p.class])))
}
fmt.Printf("| %s | %s |\n", p.class, strings.Join(row, " | "))
}
printMeasurementQuality(res)
}
// printMeasurementQuality reports how many probes never got an answer at all.
// A survival rate quoted without it would read harness noise as fact loss.
func printMeasurementQuality(res []genResult) {
asked, bad, badControl := 0, 0, 0
for _, r := range res {
for _, a := range r.Answers {
asked++
if invalidAnswer(a) {
bad++
}
}
for _, a := range r.ControlAnswers {
if invalidAnswer(a) {
badControl++
}
}
}
fmt.Printf("\nUnanswered probes (excluded from the rates above): %d of %d compacted, %d of %d control.\n", bad, asked, badControl, asked)
if bad > 0 || badControl > 0 {
fmt.Println("A run with unanswered probes measures the harness as much as the compactor; see answers in the JSON report.")
}
}
func mark(v int, answer string) string {
switch {
case invalidAnswer(answer):
return "n/a"
case v == 1:
return "ok"
}
return "LOST"
}
func joinGens(res []genResult, at map[int]bool) string {
var s []string
for _, r := range res {
if at[r.Gen+1] {
s = append(s, fmt.Sprintf("gen %d", r.Gen+1))
}
}
return strings.Join(s, " | ")
}
func countGens(res []genResult, at map[int]bool) int {
n := 0
for _, r := range res {
if at[r.Gen+1] {
n++
}
}
return n
}
func reportAt(spec string) map[int]bool {
at := map[int]bool{}
for part := range strings.SplitSeq(spec, ",") {
var n int
if _, err := fmt.Sscanf(strings.TrimSpace(part), "%d", &n); err == nil {
at[n] = true
}
}
return at
}
func renderAll(msgs []provider.Message) string {
var b strings.Builder
for _, m := range msgs {
b.WriteString(m.Content)
for _, tc := range m.ToolCalls {
b.WriteString(tc.Name)
b.WriteString(tc.Arguments)
}
b.WriteByte('\n')
}
return b.String()
}
func firstLine(s string) string {
first, _, _ := strings.Cut(s, "\n")
return first
}
func boolToInt(b bool) int {
if b {
return 1
}
return 0
}
type testingDir struct{ dir string }
func tempDir() (*testingDir, func(), error) {
dir, err := os.MkdirTemp("", "compactionbench-")
if err != nil {
return nil, nil, err
}
return &testingDir{dir: dir}, func() { _ = os.RemoveAll(dir) }, nil
}
// callRecorder captures every summarizer request the fold issued, which is the
// measurement the cost arm exists for: how many calls, and how large the
// largest one got.
type callRecorder struct{ calls []recordedCall }
type recordedCall struct {
tokens int
system string
}
func (r *callRecorder) reset() { r.calls = nil }
func (r *callRecorder) note(req provider.Request) {
c := recordedCall{}
for _, m := range req.Messages {
c.tokens += tokencount.Text(m.Content)
if m.Role == provider.RoleSystem {
c.system = m.Content
}
}
r.calls = append(r.calls, c)
}
func (r *callRecorder) sink() event.Sink { return event.Discard }
const syntheticDigest = `## Standing facts & constraints
- never modify config/schema.sql
## Goal
Fix the config round-trip formatting bug.
## Pending & next step
Re-run TestRoundTrip after the latest edit.`
// scriptedProvider answers every summarizer call with a fixed digest so the
// cost arm is deterministic and needs no API key. It refuses an input larger
// than the window the way a real provider does, so the bench observes the
// wedge — a fold that can no longer be summarized at all — instead of
// inferring it from the input size.
type scriptedProvider struct {
rec *callRecorder
reply string
window int
}
func (p *scriptedProvider) Name() string { return "scripted" }
func (p *scriptedProvider) Stream(_ context.Context, req provider.Request) (<-chan provider.Chunk, error) {
p.rec.note(req)
ch := make(chan provider.Chunk, 2)
if in := p.rec.calls[len(p.rec.calls)-1].tokens; p.window > 0 && in > p.window {
ch <- provider.Chunk{Type: provider.ChunkError, Err: fmt.Errorf("this model's maximum context length is %d tokens, however you requested %d tokens", p.window, in)}
close(ch)
return ch, nil
}
ch <- provider.Chunk{Type: provider.ChunkText, Text: p.reply}
ch <- provider.Chunk{Type: provider.ChunkDone}
close(ch)
return ch, nil
}
// recordingProvider measures the same thing against a real provider.
type recordingProvider struct {
inner provider.Provider
rec *callRecorder
}
func (p *recordingProvider) Name() string { return p.inner.Name() }
func (p *recordingProvider) Stream(ctx context.Context, req provider.Request) (<-chan provider.Chunk, error) {
p.rec.note(req)
return p.inner.Stream(ctx, req)
}