Files
noema/internal/replay/replay.go
T
Andy Dixon 522de3b026 feat(replay): record runtime identity; label compatibility; analyse first divergence
Snapshots, replays and experiments now record the runtime they ran under:
build (module version, VCS commit, modified tree, commit time, Go version,
platform), schema version, a digest of the non-secret configuration that
ignores secret and credential changes, personality version, policy digest,
model routing including per-mind overrides, prompt versions, deterministic
subsystem versions and timezone. A replay compares its identity with the
snapshot's and is an exact-candidate, a different-build (differences
listed) or incompatible (schema differs; the replay stops before running).
The first non-exact step is analysed into events only in the recording,
events only in the replay, and the components they belong to, labelled as
inferred; live model calls are named as their own source of difference.
Migration 0022 is additive; unrecorded identities are reported as such.
2026-08-20 21:11:27 +01:00

433 lines
15 KiB
Go

package replay
import (
"context"
"encoding/json"
"fmt"
"log/slog"
"sort"
"strings"
"time"
"github.com/jackc/pgx/v5"
"github.com/jackc/pgx/v5/pgxpool"
"github.com/andydixon/noema/internal/brain"
evstore "github.com/andydixon/noema/internal/events"
"github.com/andydixon/noema/internal/identity"
"github.com/andydixon/noema/internal/minds"
"github.com/andydixon/noema/internal/snapshots"
"github.com/andydixon/noema/internal/storage"
"github.com/andydixon/noema/pkg/events"
"github.com/andydixon/noema/pkg/ids"
)
// Replay is one recorded re-run.
type Replay struct {
ID ids.ID `json:"id"`
MindID ids.ID `json:"mind_id"`
SnapshotID ids.ID `json:"snapshot_id"`
ReplayMindID *ids.ID `json:"replay_mind_id,omitempty"`
FromSeq int64 `json:"from_seq"`
ToSeq int64 `json:"to_seq"`
Status string `json:"status"`
Summary Summary `json:"summary"`
Steps json.RawMessage `json:"steps"`
Error string `json:"error"`
CreatedBy string `json:"created_by"`
CreatedAt time.Time `json:"created_at"`
FinishedAt *time.Time `json:"finished_at,omitempty"`
// Reproducibility: the runtime this replay ran under, how it compares
// with the runtime that took the snapshot, and where the first
// divergence appeared.
Identity identity.Identity `json:"identity"`
Compatibility string `json:"compatibility"` // exact-candidate | different-build | incompatible
IdentityDiff []string `json:"identity_diff"`
Divergence *Divergence `json:"divergence,omitempty"`
}
// Divergence describes the first step whose outcome differed and which
// components the differing events belong to. Components are inferred from
// event types and labelled as such; they are a pointer, not a proof.
type Divergence struct {
Step int `json:"step"`
StimulusID ids.ID `json:"stimulus_id"`
Label string `json:"label"`
Components []string `json:"components"`
OnlyRecorded []string `json:"only_recorded"`
OnlyReplayed []string `json:"only_replayed"`
RecordedIn string `json:"recorded_build"`
ReplayedIn string `json:"replayed_build"`
}
// Summary counts step labels.
type Summary struct {
Steps int `json:"steps"`
Exact int `json:"exact"`
Approximate int `json:"approximate"`
Diverged int `json:"diverged"`
LLMLive int `json:"llm_live"`
LLMReplayed int `json:"llm_replayed"`
Cycles int `json:"cycles"`
}
// Step is the outcome of replaying one stimulus.
type Step struct {
Index int `json:"index"`
StimulusID ids.ID `json:"stimulus_id"`
InjectedID ids.ID `json:"injected_id"`
Summary string `json:"summary"`
Original []string `json:"original"`
Replayed []string `json:"replayed"`
Label string `json:"label"` // exact | approximate | diverged
Note string `json:"note"`
Cycles int `json:"cycles"`
LLMLive int `json:"llm_live"`
LLMReplayed int `json:"llm_replayed"`
}
// Service runs and stores replays.
type Service struct {
DB *pgxpool.Pool
Events *evstore.Store
Minds *minds.Store
Snapshots *snapshots.Store
Brain brain.Config // template; Services.LLM must be a replaying router
Identity *identity.Capturer
Log *slog.Logger
}
// MaxStimuli bounds one replay.
const MaxStimuli = 200
// Run replays the source mind's perception events in (from, to] starting
// from a snapshot, inside a fresh disabled sandbox mind.
func (s *Service) Run(ctx context.Context, src minds.Mind, snapshotID ids.ID, from, to int64, by string) (Replay, error) {
r, err := s.Begin(ctx, src, snapshotID, from, to, by)
if err != nil {
return r, err
}
return s.Execute(ctx, r)
}
// Begin validates and records a replay so callers can run Execute in the
// background and hand the id back immediately.
func (s *Service) Begin(ctx context.Context, src minds.Mind, snapshotID ids.ID, from, to int64, by string) (Replay, error) {
r := Replay{ID: ids.New(), MindID: src.ID, SnapshotID: snapshotID, FromSeq: from, ToSeq: to, Status: "running", CreatedBy: by, CreatedAt: time.Now(), Steps: []byte("[]"), Summary: Summary{}}
sn, err := s.Snapshots.Get(ctx, snapshotID)
if err != nil || sn.MindID != src.ID {
return r, fmt.Errorf("snapshot not found for this mind")
}
if from < sn.EventSeq {
r.FromSeq = sn.EventSeq
}
if to <= r.FromSeq {
if last, err := s.Events.Query(ctx, evstore.Filter{MindID: src.ID, Limit: 1}); err == nil && len(last) > 0 {
r.ToSeq = last[0].Seq
}
}
if r.ToSeq <= r.FromSeq {
return r, fmt.Errorf("nothing to replay after event %d", r.FromSeq)
}
r.Identity = s.Identity.Capture(ctx, src.ID)
r.Compatibility, r.IdentityDiff = identity.Compare(sn.Identity, r.Identity)
if r.IdentityDiff == nil {
r.IdentityDiff = []string{}
}
idj, _ := json.Marshal(r.Identity)
_, err = s.DB.Exec(ctx, `INSERT INTO replays (id, mind_id, snapshot_id, from_seq, to_seq, status, created_by, identity, compatibility, identity_diff) VALUES ($1,$2,$3,$4,$5,'running',$6,$7,$8,$9)`, r.ID, src.ID, snapshotID, r.FromSeq, r.ToSeq, by, idj, r.Compatibility, r.IdentityDiff)
return r, err
}
// Execute performs a replay recorded by Begin.
func (s *Service) Execute(ctx context.Context, r Replay) (Replay, error) {
src, err := s.Minds.Get(ctx, r.MindID)
if err != nil {
return r, err
}
snapshotID, from, to, by := r.SnapshotID, r.FromSeq, r.ToSeq, r.CreatedBy
defer func() {
if p := recover(); p != nil {
s.Log.Error("replay panicked", "replay", r.ID, "panic", p)
s.DB.Exec(context.WithoutCancel(ctx), `UPDATE replays SET status='failed', error='internal error', finished_at=now() WHERE id=$1`, r.ID) //nolint:errcheck
}
}()
finish := func(status, errText string, steps []Step) (Replay, error) {
if steps == nil {
steps = []Step{}
}
sj, _ := json.Marshal(steps)
sum, _ := json.Marshal(r.Summary)
div := []byte("{}")
if r.Divergence != nil {
div, _ = json.Marshal(r.Divergence)
}
_, err := s.DB.Exec(ctx, `UPDATE replays SET status=$2, error=$3, steps=$4, summary=$5, replay_mind_id=$6, divergence=$7, finished_at=now() WHERE id=$1`, r.ID, status, errText, sj, sum, r.ReplayMindID, div)
r.Status, r.Error, r.Steps = status, errText, sj
if err != nil {
return r, err
}
if errText != "" {
return r, fmt.Errorf("%s", errText)
}
return r, nil
}
sn, err := s.Snapshots.Get(ctx, snapshotID)
if err != nil || sn.MindID != src.ID {
return finish("failed", "snapshot not found for this mind", nil)
}
if r.Compatibility == identity.CompatIncompatible {
// A different schema means the sandbox could not be a faithful
// reconstruction; say so instead of producing a misleading comparison.
return finish("incompatible", "schema differs from the one the snapshot was taken under: "+strings.Join(r.IdentityDiff, "; "), nil)
}
stimuli, err := s.Events.Query(ctx, evstore.Filter{MindID: src.ID, Categories: StimulusCategories, AfterSeq: from, BeforeSeq: to + 1, Ascending: true, Limit: MaxStimuli + 1})
if err != nil {
return finish("failed", err.Error(), nil)
}
if len(stimuli) > MaxStimuli {
return finish("failed", fmt.Sprintf("more than %d stimuli in range; narrow it", MaxStimuli), nil)
}
var external []events.Event
for _, e := range stimuli {
if isStimulus(e) {
external = append(external, e)
}
}
if len(external) == 0 {
return finish("failed", "no perception or operator events in range", nil)
}
slug := "replay-" + strings.ToLower(r.ID.String()[len(r.ID.String())-8:])
sandbox, err := s.Snapshots.Fork(ctx, snapshotID, snapshots.ForkOptions{Slug: slug, DisplayName: "Replay of " + src.DisplayName, Status: minds.StatusDisabled, By: by,
Notes: fmt.Sprintf("replay %s of %s from event %d to %d (snapshot %s)", r.ID, src.Slug, from, to, sn.Name)})
if err != nil {
return finish("failed", "fork sandbox: "+err.Error(), nil)
}
r.ReplayMindID = &sandbox.ID
drv, err := NewDriver(ctx, s.Brain, sandbox, "replay")
if err != nil {
return finish("failed", "runtime: "+err.Error(), nil)
}
var steps []Step
for i, stim := range external {
st := Step{Index: i, StimulusID: stim.ID, Summary: stim.Summary}
// What the source produced between this stimulus and the next one.
upper := to + 1
if i+1 < len(external) {
upper = external[i+1].Seq
}
orig, _ := s.Events.Query(ctx, evstore.Filter{MindID: src.ID, AfterSeq: stim.Seq, BeforeSeq: upper, Ascending: true, Limit: 2000})
st.Original = Digest(withoutPerception(orig))
startedAt := time.Now()
inj, err := drv.Inject(ctx, stim, map[string]any{"replay_of": stim.ID, "replay_id": r.ID})
if err != nil {
st.Label, st.Note = "diverged", "inject failed: "+err.Error()
steps = append(steps, st)
continue
}
st.InjectedID = inj.ID
produced, cycles, err := drv.Settle(ctx)
st.Cycles = cycles
r.Summary.Cycles += cycles
if err != nil {
st.Note = "cycle error: " + err.Error()
}
st.Replayed = Digest(produced)
st.LLMLive, st.LLMReplayed = s.llmCounts(ctx, sandbox.ID, startedAt)
r.Summary.LLMLive += st.LLMLive
r.Summary.LLMReplayed += st.LLMReplayed
switch {
case st.LLMLive > 0:
st.Label = "approximate"
st.Note = strings.TrimSpace(st.Note + " live model call(s); recorded response not found")
r.Summary.Approximate++
case Same(st.Original, st.Replayed):
st.Label = "exact"
r.Summary.Exact++
default:
st.Label = "diverged"
st.Note = strings.TrimSpace(st.Note + " deterministic run produced different events; state or code differs from the recording")
r.Summary.Diverged++
}
steps = append(steps, st)
if st.Label != "exact" && r.Divergence == nil {
r.Divergence = analyseDivergence(st, sn.Identity, r.Identity)
}
}
r.Summary.Steps = len(steps)
return finish("done", "", steps)
}
// StimulusCategories are the event categories a mind receives from outside:
// perceptions (messages, integrations, observations) and operator actions.
var StimulusCategories = []events.Category{events.CatPerception, events.CatOperator}
func isStimulus(e events.Event) bool {
if strings.HasPrefix(e.Source, "brain") {
return false
}
for _, c := range StimulusCategories {
if e.Category == c {
return true
}
}
return false
}
func withoutPerception(evs []events.Event) []events.Event {
var out []events.Event
for _, e := range evs {
if !isStimulus(e) {
out = append(out, e)
}
}
return out
}
func (s *Service) llmCounts(ctx context.Context, mind ids.ID, since time.Time) (live, replayed int) {
s.DB.QueryRow(ctx, `SELECT count(*) FILTER (WHERE NOT replayed), count(*) FILTER (WHERE replayed) FROM llm_calls WHERE mind_id=$1 AND created_at >= $2`, mind, since).Scan(&live, &replayed) //nolint:errcheck
return
}
const replayCols = `id, mind_id, snapshot_id, replay_mind_id, from_seq, to_seq, status, summary, steps, error, created_by, created_at, finished_at, identity, compatibility, identity_diff, divergence`
func scan(row pgx.Row) (Replay, error) {
var r Replay
var sum, idj, div []byte
if err := row.Scan(&r.ID, &r.MindID, &r.SnapshotID, &r.ReplayMindID, &r.FromSeq, &r.ToSeq, &r.Status, &sum, &r.Steps, &r.Error, &r.CreatedBy, &r.CreatedAt, &r.FinishedAt, &idj, &r.Compatibility, &r.IdentityDiff, &div); err != nil {
return r, storage.Translate(err)
}
json.Unmarshal(sum, &r.Summary) //nolint:errcheck
json.Unmarshal(idj, &r.Identity) //nolint:errcheck
if len(div) > 2 {
var d Divergence
if json.Unmarshal(div, &d) == nil {
r.Divergence = &d
}
}
if r.IdentityDiff == nil {
r.IdentityDiff = []string{}
}
return r, nil
}
// Get returns one replay.
func (s *Service) Get(ctx context.Context, id ids.ID) (Replay, error) {
return scan(s.DB.QueryRow(ctx, `SELECT `+replayCols+` FROM replays WHERE id=$1`, id))
}
// List returns replays for a mind, newest first.
func (s *Service) List(ctx context.Context, mind ids.ID, limit int) ([]Replay, error) {
if limit <= 0 || limit > 200 {
limit = 20
}
rows, err := s.DB.Query(ctx, `SELECT `+replayCols+` FROM replays WHERE mind_id=$1 ORDER BY created_at DESC LIMIT $2`, mind, limit)
if err != nil {
return nil, err
}
defer rows.Close()
var out []Replay
for rows.Next() {
r, err := scan(rows)
if err != nil {
return nil, err
}
out = append(out, r)
}
return out, rows.Err()
}
// StepsOf decodes the steps of a replay.
func StepsOf(r Replay) []Step {
var out []Step
json.Unmarshal(r.Steps, &out) //nolint:errcheck
return out
}
// componentOf maps an event type onto the deterministic subsystem that
// produces it, so a divergence can point at a component.
func componentOf(digest string) string {
t, _, _ := strings.Cut(digest, ":")
switch t {
case "memory_retrieved":
return "retrieval"
case "thought_selected", "thought_candidate", "attention_shift":
return "attention"
case "memory_created", "memory_reinforced":
return "encoding"
case "belief_created", "belief_updated", "belief_challenged", "belief_retracted", "contradiction_detected":
return "beliefs"
case "hypothesis_created", "hypothesis_supported", "hypothesis_weakened":
return "association"
case "prediction_created", "prediction_resolved", "prediction_error":
return "predictions"
case "goal_created", "goal_updated", "goal_completed", "goal_abandoned":
return "goals"
case "response_generated":
return "response"
case "narrative_updated":
return "narrative"
case "drive_changed", "emotion_changed":
return "motivation"
case "metacognition":
return "metacognition"
case "tool_requested", "tool_denied", "policy_decision":
return "capabilities"
}
return t
}
// analyseDivergence records the first non-exact step: what only the
// recording had, what only the replay had, and the components involved.
func analyseDivergence(st Step, recorded, current identity.Identity) *Divergence {
d := &Divergence{Step: st.Index, StimulusID: st.StimulusID, Label: st.Label, RecordedIn: shortBuild(recorded), ReplayedIn: shortBuild(current)}
have := map[string]bool{}
for _, x := range st.Replayed {
have[x] = true
}
comps := map[string]bool{}
for _, x := range st.Original {
if !have[x] {
d.OnlyRecorded = append(d.OnlyRecorded, x)
comps[componentOf(x)] = true
}
}
seen := map[string]bool{}
for _, x := range st.Original {
seen[x] = true
}
for _, x := range st.Replayed {
if !seen[x] {
d.OnlyReplayed = append(d.OnlyReplayed, x)
comps[componentOf(x)] = true
}
}
for c := range comps {
d.Components = append(d.Components, c)
}
sort.Strings(d.Components)
if st.LLMLive > 0 {
d.Components = append(d.Components, "model (live call; provider nondeterminism)")
}
if d.OnlyRecorded == nil {
d.OnlyRecorded = []string{}
}
if d.OnlyReplayed == nil {
d.OnlyReplayed = []string{}
}
return d
}
func shortBuild(id identity.Identity) string {
if len(id.Build.Commit) >= 8 {
if id.Build.Modified {
return id.Build.Commit[:8] + "+dirty"
}
return id.Build.Commit[:8]
}
if id.Build.Version != "" {
return id.Build.Version
}
return "unrecorded"
}